[ { "id": 15, "name": "Amiato", "slug": "amiato", "former_names": [ "Nou Data" ], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://noudata.com", "all_locations": "Palo Alto, CA, USA", "long_description": "Amiato's real-time integration service moves your data to where it's\nmost valuable to you. Today's flexible databases like MongoDB and\nCouchBase let agile businesses accelerate and scale their operations,\nbut analyzing their data has been elusive. Amiato unlocks the value of\nthat unstructured data by bridging the gap to familiar tools in the\nrich structured world of BI, all with zero setup work. Run reports, do\ninteractive ad-hoc analysis, and combine disparate silos. Our\nSchema-lift (TM) technology allows you to immediately integrate new\nendpoints and seamlessly keep up with changes in your data. We get\ncustomers up and running in a day instead of weeks, and let them focus\non business instead of wrestling infrastructure.", "one_liner": "The BI bridge for unstructured data. We automatically bridge the gap…", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1322045630, "tags": [ "Analytics", "Big Data" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2012", "status": "Acquired", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/amiato", "api": "https://yc-oss.github.io/api/batches/winter-2012/amiato.json" }, { "id": 37, "name": "Zillabyte", "slug": "zillabyte", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://zillabyte.com", "all_locations": "San Francisco, CA, USA", "long_description": "Zillabyte is a cloud platform for data analysis. Build apps, not infrastructure. \n\n\nWe set up and maintain the infrastructure you need to analyze your data. All you need to do is develop your app locally and test it using the our CLI. When you need to scale, push to our servers. \n\nEasily add more functionality with components, modular code blocks that let you perform additional functions such as: geo coding, fraud analysis, and web scraping.\n\nUse your own private datasets or plug into our off-the-shelf data, which includes a copy of the web. You can even combine the two and extract rich insights.", "one_liner": "Palantir for sales people", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1322045828, "tags": [ "Analytics", "Sales" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2012", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/zillabyte", "api": "https://yc-oss.github.io/api/batches/winter-2012/zillabyte.json" }, { "id": 40, "name": "Amplitude", "slug": "amplitude", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fa98c8a53255b3fd2e9d4a65dbb47eec293729f1.png", "website": "https://amplitude.com", "all_locations": "San Francisco, CA, USA", "long_description": "Since graduating from YC, Amplitude (W12) has made it to IPO and beyond by helping cutting edge startups become category leaders. We’ve pioneered the digital analytics category to become the go-to solution for AI pioneers (Cruise, Midjourney), apps that touch millions of consumers (Doordash, Coinbase), and the best in B2B (Atlassian, Rippling, Canva). \r\n\r\nWith product analytics, experiment, CDP, session replay, and more, Amplitude’s digital analytics platform shows you what your users love, where they’re getting stuck, and what keeps them coming back. You want to build a generational business, and we have the capabilities and pricing plans to guide you every step of the way. Check out our special deal for YC companies and get started on your analytics journey. ", "one_liner": "Digital Analytics Platform", "team_size": 750, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1322045852, "tags": [ "Developer Tools", "B2B", "Analytics", "Marketing", "Data Visualization" ], "tags_highlighted": [], "top_company": true, "isHiring": true, "nonprofit": false, "batch": "Winter 2012", "status": "Public", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/amplitude", "api": "https://yc-oss.github.io/api/batches/winter-2012/amplitude.json" }, { "id": 47, "name": "FarmLogs", "slug": "farmlogs", "former_names": [ "Farmlogs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/35fa71f12e6026ecae1091f58bad04774936fbb8.png", "website": "http://farmlogs.com", "all_locations": "Ann Arbor, MI, USA; Remote", "long_description": "Technology that simplifies farming. Get timely, unbiased information to improve yield, eliminate waste, and maximize the profitability of every acre.", "one_liner": "Software that helps farmers operate more profitable businesses.", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Agriculture", "launched_at": 1322045914, "tags": [ "Analytics", "Agriculture" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2012", "status": "Acquired", "industries": [ "Industrials", "Agriculture" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/farmlogs", "api": "https://yc-oss.github.io/api/batches/winter-2012/farmlogs.json" }, { "id": 70, "name": "Freshplum", "slug": "freshplum", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://freshplum.com", "all_locations": "San Francisco, CA, USA", "long_description": "Freshplum's goal is to bring the decision-making power of data science to companies who sell goods and services electronically.", "one_liner": "Analytics with action", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1326788965, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2011", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/freshplum", "api": "https://yc-oss.github.io/api/batches/summer-2011/freshplum.json" }, { "id": 99, "name": "Pagelever", "slug": "pagelever", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://pagelever.com", "all_locations": "San Francisco, CA, USA", "long_description": "PageLever is the leading analytics platform for measuring your brand’s presence on Facebook.\n\n4 of the top 10 Facebook pages rely on PageLever, as well as brands like YouTube, MTV, and Intel.\n\nIn January 2013, PageLever was acquired by Unified Social.", "one_liner": "Facebook analytics. Acquired by Unified in January 2013. \r\n", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1326789307, "tags": [ "Analytics", "Social" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2011", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/pagelever", "api": "https://yc-oss.github.io/api/batches/summer-2011/pagelever.json" }, { "id": 100, "name": "MarketBrief", "slug": "marketbrief", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://marketbrief.com", "all_locations": "New York City, NY, USA; San Francisco, CA, USA", "long_description": "MarketBrief analyzes 30,000+ trusted documents per day looking for relevant business headlines and breaking news all within fractions of a second.", "one_liner": "Generate stories from SEC filings.", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Consumer Finance", "launched_at": 1326789316, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2011", "status": "Inactive", "industries": [ "Fintech", "Consumer Finance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/marketbrief", "api": "https://yc-oss.github.io/api/batches/summer-2011/marketbrief.json" }, { "id": 148, "name": "Hotspots", "slug": "hotspots", "former_names": [ "Moki" ], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://moki.tv", "all_locations": "San Francisco, CA, USA", "long_description": "Moki.TV is a directory of all paid and free content included on Amazon's streaming service, Netlfix, Hulu, iTunes, and others.", "one_liner": "Real-time analytics (acq by TWTR, 2012)", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1326789798, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2011", "status": "Acquired", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/hotspots", "api": "https://yc-oss.github.io/api/batches/winter-2011/hotspots.json" }, { "id": 150, "name": "Custora", "slug": "custora", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://custora.com", "all_locations": "New York, NY, USA", "long_description": "Custora is an advanced segmentation platform designed to help online retailers better understand and market to their customers. We’re on a mission to remove the “mass” from marketing with software tools that focus on customers as individuals with unique needs and interests. Our software employs the state-of-the-art in customer analytics methodologies and integrates directly with marketing tools (ESPs, display, Facebook Custom Audiences, Google Customer Match) to help marketers deliver more relevant, meaningful communications. \n\nWe’re excited to work with some of the leading retail innovators including Teleflora, Bonobos, 7 for All Mankind, and many more retailers spread throughout the world. Our offices are located in the Flatiron district of Manhattan. We work hard, work together, and care deeply about building a meaningful business, collaborative team, and exceptional culture that we’re proud to be a part of.\n\nAnd yes, we're hiring. Check out https://www.custora.com/careers for details.", "one_liner": "Custora is a predictive analytics platform for e-commerce marketing…", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1326789820, "tags": [ "E-Commerce", "Analytics", "Retail Tech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2011", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/custora", "api": "https://yc-oss.github.io/api/batches/winter-2011/custora.json" }, { "id": 176, "name": "Chartio", "slug": "chartio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd01901abf7384be11011b25a6f7e62224dd4f2e.png", "website": "https://chartio.com", "all_locations": "San Francisco, CA, USA", "long_description": "Chartio is a cloud-based data exploration solution for all. Easily connect your data and create powerful dashboards in minutes, without any SQL knowledge.", "one_liner": "Chartio is changing how companies work by building the best…", "team_size": 40, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1326790056, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2010", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/chartio", "api": "https://yc-oss.github.io/api/batches/summer-2010/chartio.json" }, { "id": 194, "name": "Leftronic", "slug": "leftronic", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://leftronic.com", "all_locations": "San Francisco, CA, USA", "long_description": "Leftronic is a Y Combinator-funded company that develops a web-based real-time dashboard application for monitoring a company's most important data.\n\nLeftronic business dashboards retrieve a company's metrics from popular services such as Google Analytics, Twitter, Zendesk and others, as well as receive custom metrics through a super-simple API. The dashboards update in real-time and are designed for large screens. This makes it easy for teams to monitor their company's critical metrics.", "one_liner": "Business dashboards", "team_size": 11, "industry": "Consumer", "subindustry": "Consumer -> Consumer Electronics", "launched_at": 1326790187, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2010", "status": "Acquired", "industries": [ "Consumer", "Consumer Electronics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/leftronic", "api": "https://yc-oss.github.io/api/batches/summer-2010/leftronic.json" }, { "id": 200, "name": "inDinero", "slug": "indinero", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/316e1b19521c485db18954b0143a0defb3c67d5d.png", "website": "http://indinero.com", "all_locations": "San Francisco, CA, USA; Los Angeles, CA, USA; Remote", "long_description": "inDinero is on a mission to reinvent small business operations, helping our clients understand their finances like never before.\r\n\r\nBy combining a full finance team of bookkeepers, accountants, and CPA’s, with real time accounting software, we provide startups and small businesses the knowledge they need to understand their company's financial health and make better decisions with their money. Tax experts work with accountants under one roof to prepare and file our clients'​ taxes and maximize tax savings.\r\n\r\nWe're a growing company with big ambitions and big opportunities for internal mobility. If you’re interested in one of our open positions and looking for your next big professional adventure, drop us a line at jobs@indinero.com.", "one_liner": "Financial dashboard for businesses.", "team_size": 250, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1326790237, "tags": [ "FinOps", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2010", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/indinero", "api": "https://yc-oss.github.io/api/batches/summer-2010/indinero.json" }, { "id": 209, "name": "AdGrok", "slug": "adgrok", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://adgrok.com", "all_locations": "San Francisco, CA, USA", "long_description": "AdGrok allows business owners to automate the process of choosing and bidding on keywords on Google AdWords.", "one_liner": "Easy SEM software. Acquired by Twitter in 2011.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1326790310, "tags": [ "Analytics", "Advertising" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2010", "status": "Acquired", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/adgrok", "api": "https://yc-oss.github.io/api/batches/summer-2010/adgrok.json" }, { "id": 248, "name": "Mixpanel", "slug": "mixpanel", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/de2e1c705cd83dd0add15fd23dbc3d1818388b84.png", "website": "http://mixpanel.com", "all_locations": "San Francisco, CA, USA", "long_description": "Mixpanel is analytics for builders that need answers from their data at their fingertips. When everyone in the organization can see — and learn from — the impact of their work, they are poised to make better decisions. Companies like OpenAI, Netflix, Pinterest, sweetgreen, CNN, samsara, Uber, and Yelp use Mixpanel to understand their customers, measure progress, and endeavor to make better decisions.", "one_liner": "Mixpanel is event analytics for builders that need answers.", "team_size": 410, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1326790650, "tags": [ "B2B", "Analytics", "Data Visualization", "Cloud Computing", "Databases" ], "tags_highlighted": [], "top_company": true, "isHiring": false, "nonprofit": false, "batch": "Summer 2009", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/mixpanel", "api": "https://yc-oss.github.io/api/batches/summer-2009/mixpanel.json" }, { "id": 391, "name": "Canopy Labs", "slug": "canopy-labs", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://canopylabs.com", "all_locations": "New York, NY, USA", "long_description": "Every customer reaches a buying decision in their unique way – Canopy Labs helps businesses to track and optimize their customer journey.\n\nUsing our platform, businesses can plan more targeted marketing campaigns and optimize their lead lists, with a focus on maximizing revenue and sales growth. Our platform is currently being used in a variety of industries, including sports, ticket sales, daily deals, and online retail, and customers ranging from $10B retailers to small online businesses.\n\nCanopy Labs has offices in Toronto and New York City. The company is led by CEO Wojciech Gryc, who is a former McKinsey consultant and Rhodes Scholar, and CTO Jorge Escobedo, who has a PhD in Theoretical Physics and researched string theory. It is backed by Y Combinator, BDC IT Ventures Fund, and Valar Ventures.", "one_liner": "Canopy Labs automates customer analytics for small and medium-sized…", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1336096527, "tags": [ "Artificial Intelligence", "Analytics", "Marketing", "CRM" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2012", "status": "Inactive", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/canopy-labs", "api": "https://yc-oss.github.io/api/batches/summer-2012/canopy-labs.json" }, { "id": 394, "name": "Statwing", "slug": "statwing", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/528caf062f0a81ecfc8687eb03b284b2ed65207e.png", "website": "http://statwing.com", "all_locations": "San Francisco, CA, USA", "long_description": "Web-based statistical analysis software that speaks in plain english instead of arcane stats jargon.", "one_liner": "Dead simple statistical analysis software. Like R or SPSS but easy to…", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1336096548, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2012", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/statwing", "api": "https://yc-oss.github.io/api/batches/summer-2012/statwing.json" }, { "id": 411, "name": "DataNitro", "slug": "datanitro", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://datanitro.com", "all_locations": "New York, NY, USA", "long_description": "DataNitro integrates Excel with Python.\n\nIt's the easiest way to get data in to and out of Excel, to automate your workflow, and to run sophisticated mathematical, statistical, or financial calculations in your spreadsheet.", "one_liner": "We speed up Excel.", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1336096703, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2012", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/datanitro", "api": "https://yc-oss.github.io/api/batches/summer-2012/datanitro.json" }, { "id": 421, "name": "Hiptype", "slug": "hiptype", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://hiptype.com", "all_locations": "San Francisco, CA, USA", "long_description": "Hiptype brings analytics and targeted advertising capabilities to the most popular eBook platforms, where these powerful features have never before been possible.\n\nHiptype's patent-pending plugin for books captures demographic and book performance data that can be used to power in-book targeted advertising and automated book marketing campaign optimizations.\n\nHiptype's founding team has previously designed and engineered products at Google, Turntable.fm, and mobile advertising platform Chartboost.", "one_liner": "Hiptype is a marketing and analytics platform for eBooks. We can…", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1336096781, "tags": [ "E-Commerce", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2012", "status": "Inactive", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/hiptype", "api": "https://yc-oss.github.io/api/batches/summer-2012/hiptype.json" }, { "id": 451, "name": "Credictive", "slug": "credictive", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://credictive.com", "all_locations": "", "long_description": null, "one_liner": "Attribution metatags for online content.", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1336097050, "tags": [ "Analytics", "Advertising" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2012", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/credictive", "api": "https://yc-oss.github.io/api/batches/summer-2012/credictive.json" }, { "id": 473, "name": "Scuba", "slug": "interana", "former_names": [ "Interana" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/75095731e25d34e505b54386e1fbac0016ef69ea.png", "website": "https://www.scuba.io", "all_locations": "", "long_description": "Scuba is the fast and scalable event-based analytics solution to answer critical business questions about how customers behave and products are used. Interana allows users to analyze and explore the key business metrics that matter most in a data-driven world – such as growth, retention, conversion and engagement – in seconds, rather than the hours or days it often takes with existing solutions. Interana allows customers to discover and investigate these key insights easily through its visual and interactive interface, which makes data analysis a natural extension of everyone’s workflow.", "one_liner": "Analytics for impatient people.", "team_size": 51, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1354492621, "tags": [ "Analytics", "Big Data", "Data Engineering", "Data Visualization" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2013", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": true, "question_answers": false, "url": "https://www.ycombinator.com/companies/interana", "api": "https://yc-oss.github.io/api/batches/winter-2013/interana.json" }, { "id": 482, "name": "Fivetran", "slug": "fivetran", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d6b5710a13038fe1daa1421a986e1f4a7839a65a.png", "website": "http://fivetran.com", "all_locations": "Oakland, CA, USA", "long_description": "Fivetran automates data movement out of, into and across cloud data platforms. We automate the most time-consuming parts of the ELT process from extracts to schema drift handling to transformations, so data engineers can focus on higher-impact projects with total pipeline peace of mind. With 99.9% uptime and self-healing pipelines, Fivetran enables hundreds of leading brands across the globe, including Autodesk, Conagra Brands, JetBlue, Lionsgate, Morgan Stanley, and Ziff Davis, to accelerate data-driven decisions and drive business growth. Fivetran is headquartered in Oakland, California, with offices around the world. ", "one_liner": "The leader in automated data movement", "team_size": 1200, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1354492705, "tags": [ "SaaS", "B2B", "Analytics", "Data Engineering" ], "tags_highlighted": [], "top_company": true, "isHiring": false, "nonprofit": false, "batch": "Winter 2013", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/fivetran", "api": "https://yc-oss.github.io/api/batches/winter-2013/fivetran.json" }, { "id": 483, "name": "GrepData", "slug": "grepdata", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://grepdata.com", "all_locations": "San Francisco, CA, USA", "long_description": "6sense's mission is to empower marketing and sales teams with 100 percent visibility into buyers; who they are, needs and timing. 6sense provides marketers with omni-channel connectivity and visibility from brand to demand to revenue. 6sense's patent-protected predictions power all downstream sales and marketing systems with intelligence on who is in an active buying cycle, what products, when they will buy and where they are in the buyer's journey. 6sense enables intelligent growth resulting in new pipeline, higher marketing to sales conversions, larger opportunity size and increased sales productivity and effectiveness with teams focusing on the right buyers with a need now.\n\nVisit us at: http://www.6sense.com/\n\nLearn more about us at http://www.6sense.com\nKeep up to date on industry trends by following us on Twitter: @6SenseInc", "one_liner": "Big Data Analytics", "team_size": 51, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1354492712, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2013", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/grepdata", "api": "https://yc-oss.github.io/api/batches/winter-2013/grepdata.json" }, { "id": 490, "name": "InfluxData", "slug": "influxdata", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/52f8bfabfa73534a4e180ab67b04914310f2a95e.png", "website": "https://influxdata.com", "all_locations": "New York City, NY, USA; San Francisco, CA, USA; Remote", "long_description": "InfluxData, the creators of InfluxDB, delivers a modern Open Source Platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale delivering real business value quickly. Based in San Francisco, InfluxData customers include Autodesk, Cisco, eBay, and Coupa. Visit https://www.influxdata.com.", "one_liner": "The platform for building and operating time series applications.", "team_size": 210, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1354492765, "tags": [ "Analytics", "Open Source", "Time Series", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2013", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/influxdata", "api": "https://yc-oss.github.io/api/batches/winter-2013/influxdata.json" }, { "id": 498, "name": "Heap", "slug": "heap", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0be58a0e5449236d7f3e0dbb741e2aadde9e2881.png", "website": "https://heap.io/", "all_locations": "Seattle, WA, USA; San Francisco, CA, USA", "long_description": "Heap automates away the annoying parts of user analytics. No manual event tracking. No messy tracking plans. No custom ETL pipelines. Just insights. For everyone on your team.", "one_liner": "Captures user interactions with no code to generate analytics.", "team_size": 388, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1354492832, "tags": [ "SaaS", "Analytics" ], "tags_highlighted": [], "top_company": true, "isHiring": false, "nonprofit": false, "batch": "Winter 2013", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/heap", "api": "https://yc-oss.github.io/api/batches/winter-2013/heap.json" }, { "id": 514, "name": "Posmetrics", "slug": "posmetrics", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://posmetrics.com", "all_locations": "Cupertino, CA, USA", "long_description": "Posmetrics provides innovative iPad-based customer feedback surveys that collect orders of magnitude more data than other technologies, provide relevant, real-time results, and generate actionable recommendations to help businesses and organizations improve their services.", "one_liner": "Ultra-short feedback surveys on tablets mounted in businesses. Higher…", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Retail", "launched_at": 1357185689, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2013", "status": "Inactive", "industries": [ "B2B", "Retail" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/posmetrics", "api": "https://yc-oss.github.io/api/batches/winter-2013/posmetrics.json" }, { "id": 558, "name": "Bop.fm", "slug": "bop-fm", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://bop.fm", "all_locations": "San Francisco, CA, USA", "long_description": "bop.fm is a YCombinator-backed music technology company that creates a home for every song on the internet. The company aggregates several popular music services (Spotify, Rdio, iTunes, YouTube, SoundCloud, Deezer, etc.) into one interface. Users can then search for any song, play it using any service, and share/discover with any friend (even if they use a different service than you). bop.fm powers this same aggregation and service-agnostic music playback for Rap Genius, as well as music content publishers, messaging clients, social networks, artists/labels, and other partners.", "one_liner": "Canonical permalinks for songs.", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer -> Content", "launched_at": 1367523724, "tags": [ "Analytics", "Music" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2013", "status": "Acquired", "industries": [ "Consumer", "Content" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/bop-fm", "api": "https://yc-oss.github.io/api/batches/summer-2013/bop-fm.json" }, { "id": 564, "name": "Datarank", "slug": "datarank", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://www.datarank.com", "all_locations": "Seattle, WA, USA; Fayetteville, AR, USA", "long_description": "DataRank is a leading social analytics company. We monitor online conversation so that our customers \ncan gather valuable comments and insights about their brand. \n\nWe have demonstrated success with Fortune 100 companies who use DataRank for consumer insights. From increasing distribution and revenue to protecting their brand’s reputation, DataRank has assisted many companies with their marketing strategy. \n\nOur dedicated social analytics platform offers a variety of tools to help businesses perform competitive analysis before releasing a new product, monitor the social media conversation about their brand, track a social media campaign, and much more. \n\nDataRank is constantly looking for ways to be innovative in the industry. Most social media monitoring tools use Boolean-like languages but we have developed our own powerful matching language called Fizzle (Fast Scalable Searching Language), which more easily allows the user to search for phrases without gathering irrelevant data.\n\nWe have a very active blog and social media presence where you can see our social media monitoring at work. Follow this page to see our updates!\n\nCompany details", "one_liner": "Making sense of social data. \r\n(Acquired by SimplyMeasured.)", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1367523792, "tags": [ "Analytics", "Social" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2013", "status": "Acquired", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/datarank", "api": "https://yc-oss.github.io/api/batches/summer-2013/datarank.json" }, { "id": 571, "name": "42", "slug": "42", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/15d37a451e4069a0883fa02ca7839c2bdcf32a99.png", "website": "https://42technologies.com", "all_locations": "San Francisco, CA, USA", "long_description": "42 is an end-to-end analytics stack for DTC and wholesale brands.\r\n\r\nOur platform shows you the right insights and data, anytime you need them:\r\n- Hundreds of built-in metrics across Stores, eComm, Wholesale, or any other channel\r\n- See all your sales, stock and customer in one report, with images\r\n- Accurate cost, markdown and promo reporting\r\n- Get answers in real-time, during your buyer / supplier meetings\r\n- Get your store managers to use data, we've seen 10% margin increases from this\r\n- Actually know how much stock you have.\r\n\r\nWe're more than just a dashboard...\r\n- No infrastructure needed. We do the hosting and maintenance.\r\n- No integrations (for you). We do the heavy-lifting and get your data into 42\r\n- For brands, we work with all the major retailers (via xlsx, portals or EDI)\r\n- For retailers, we can be your vendor portal\r\n- We integrate with any system\r\n- We work with you to tailor the analytics according to your products and naming\r\n\r\nOur customers include AllSaints, Frasers Group, Incipio Group, Bandier, Deconic... and way more.\r\n\r\nIf you want to learn more about what we do, head over to our website: 42technologies.com\r\n... or go to any AllSaints store and ask a store manager :)\r\n", "one_liner": "Analytics stack for omnichannel retailers and brands", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Retail", "launched_at": 1384978550, "tags": [ "SaaS", "Analytics", "Retail" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2014", "status": "Active", "industries": [ "B2B", "Retail" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/42", "api": "https://yc-oss.github.io/api/batches/winter-2014/42.json" }, { "id": 613, "name": "PiinPoint", "slug": "piinpoint", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab66514ee2aae2caa138e769ced840f8e4eba100.png", "website": "https://piinpoint.com", "all_locations": "Kitchener, ON, Canada", "long_description": "PiinPoint is changing the way businesses identify the best location for expansion. Our modern day SAAS solution enables businesses to use powerful tools to search and validate locations throughout North America. We centralize a variety of datasets such as traffic, demographics, and available commercial real estate to ensure businesses can make a fast and reliable decision about where to expand.", "one_liner": "PiinPoint helps businesses find the best locations for growth", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Office Management", "launched_at": 1384978933, "tags": [ "SaaS", "Real Estate", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2014", "status": "Active", "industries": [ "B2B", "Office Management" ], "regions": [ "Canada", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/piinpoint", "api": "https://yc-oss.github.io/api/batches/winter-2014/piinpoint.json" }, { "id": 646, "name": "Framed Data", "slug": "framed-data", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d619f8799e732a5c91a6f2c6e4b30d3ce7f23196.png", "website": "http://www.framed.io", "all_locations": "San Francisco, CA, USA", "long_description": "Predictive analytics for user churn. We use machine learning to help you identify when, and why, your users are leaving.\r\n\r\nWe're building data science tools and predictive analytics solutions for businesses who want value without headcount. Our platform will also include ways for people to collaborate on datasets and analyses. Data science is a high demand field and want to democratize it for all companies to use.\r\n\r\nFramed Data was acquired by Block in 2016.", "one_liner": "Predicted churn for enterprises. (Acquired by Block)", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1385289227, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2014", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": true, "question_answers": false, "url": "https://www.ycombinator.com/companies/framed-data", "api": "https://yc-oss.github.io/api/batches/winter-2014/framed-data.json" }, { "id": 658, "name": "Billforward", "slug": "billforward", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "https://www.billforward.io/", "all_locations": "San Francisco, CA, USA", "long_description": "San Francisco-based BillForward a YCombinator company is comprised of talented and passionate folks who are excited by the challenges and opportunities of subscription billing. We offer a flexible and innovative billing platform, which gives any type of recurring-payment based businesses the ability to bill customers for sophisticated products and carry out in-depth revenue analysis.\r\n\r\nLaunched in Jan 2013 the platform has already gained great traction in the Telecoms, SaaS, Product as Service and Platform as a Service industries, where product managers and CFO’s have realized that the ability to change their offering in hours, rather than weeks, can give them an edge on the competition.", "one_liner": "Subscription billing, rate plan management and analytics as a…", "team_size": 8, "industry": "Fintech", "subindustry": "Fintech -> Payments", "launched_at": 1398907625, "tags": [ "Analytics", "Subscriptions" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2014", "status": "Inactive", "industries": [ "Fintech", "Payments" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/billforward", "api": "https://yc-oss.github.io/api/batches/summer-2014/billforward.json" }, { "id": 676, "name": "Blockspring", "slug": "blockspring", "former_names": [ "BlockSpring" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/54adc77913df8208ff5542365ce1fa003567f7c8.png", "website": "http://blockspring.com", "all_locations": "Los Angeles, CA, USA; San Francisco, CA, USA; Remote", "long_description": "Blockspring helps small businesses and merchants integrate APIs into their productivity tools without any code - useful for report automation, lead generation, and building dynamic landing pages. It is recognized by Gartner, wired, BI, and Techcrunch for API data management.", "one_liner": "Automate data collection for spreadsheets and productivity tools.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1398907769, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2014", "status": "Acquired", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/blockspring", "api": "https://yc-oss.github.io/api/batches/summer-2014/blockspring.json" }, { "id": 678, "name": "Hublo", "slug": "hublo", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://hublo.com", "all_locations": "Paris, Île-de-France, France", "long_description": "Hublo (www.hublo.com) is making data-driven marketing simpler. It's a super simple tool, allowing marketers to set-up analytics, monitor precisely what's happening on their website and launch remarketing campaigns without relying on their IT teams.", "one_liner": "Hublo is making data-driven marketing simpler. It's a super simple…", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1398907782, "tags": [ "Analytics", "Marketing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2014", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/hublo", "api": "https://yc-oss.github.io/api/batches/summer-2014/hublo.json" }, { "id": 711, "name": "Tenjin", "slug": "tenjin", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/463e52171480a4ebcdbd25d4442d7be28671da6a.png", "website": "https://www.tenjin.com", "all_locations": "San Francisco, CA, USA", "long_description": "We're a mobile attribution and analytics provider, focused on helping app developers, marketers, and publishers find and grow their users. We track a bunch of metrics such as ad spend, ad revenue, in-app purchase revenue, subscription revenue, retention, etc. We also have a data warehousing product that lets our customers directly query the data we've collected.\r\n\r\nExperts at mobile advertising, need help with handling all of this data and making a very technical front-end more user-friendly.", "one_liner": "Mobile marketing analytics and infrastructure", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1398908043, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2014", "status": "Acquired", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/tenjin", "api": "https://yc-oss.github.io/api/batches/summer-2014/tenjin.json" }, { "id": 713, "name": "Think Gaming", "slug": "think-gaming", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://thinkgaming.com", "all_locations": "New York, NY, USA", "long_description": "Think Gaming uses data science to connect the best mobile freemium games with publishers and investors that can help them grow.\n\nWe've analyzed 5000+ games using a proprietary data set to find the keys to predictable success. Our free Scouting Reports compare games to top grossing peers and assess their likelihood of becoming the next billion dollar mobile game.", "one_liner": "We provide market data on the mobile games business to developers,…", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1398908059, "tags": [ "Gaming", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2014", "status": "Inactive", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/think-gaming", "api": "https://yc-oss.github.io/api/batches/summer-2014/think-gaming.json" }, { "id": 808, "name": "eBrandvalue", "slug": "ebrandvalue", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b7687a266acc1565f2404a9e6053b41025b988e9.png", "website": "https://www.ebrandvalue.com/", "all_locations": "Mountain View, CA, USA", "long_description": "eBrandValue, Inc. is a Mountain View, CA-based company that acts as a BI platform for brands and leverages social data to forecast sales and provide competitive intelligence. Its unique proprietary algorithm essentially captures consumer behaviour and brand affinities using social data to identify the most effective profile changing events. 

 \r\n\r\neBrandValue has become a de facto forecaster of sales in many industries by accurately predicting and reporting the real-time sales, ROI, brand performance and market share-impact of brands in comparison to all of their competitors. These predictions are confirmed by Nielsen’s ScanTrack, which once again emphasises the catalytic impact of next-stage intelligent social media analysis to sales strategy.
 \r\n\r\neBrandValue enables brands to measure the efficacy and ROI of their events and campaigns, and to track and analyse influencers within their industry. It also provides Meme-Based Netnographic Segmentation which reveals the dimensions that define a brand and encapsulate the nature of social media postings in the sector, thus allowing brands to track their positioning vis-à-vis competition in real-time.
 \r\n\r\neBrandValue recently graduated from Y Combinator’s Winter’15 batch, and received press coverage at VentureBeat. Additionally, eBrandValue was also showcased as part of the Start Up Academy during Cannes Lions as one of the ten globally selected startups that are currently disrupting the marketing/agency business.
", "one_liner": "Real-time Nielsen ratings for Brands.Accelerate marketing and product…", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1416306873, "tags": [ "Analytics", "Social" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2015", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/ebrandvalue", "api": "https://yc-oss.github.io/api/batches/winter-2015/ebrandvalue.json" }, { "id": 820, "name": "Outbound", "slug": "outbound", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://outbound.io", "all_locations": "San Francisco, CA, USA", "long_description": "Outbound organizes the messages you send around the actions your customers take. We allow non-technical marketers and product people to set up automated email, push notification, SMS or voice messages when you need your users to take an action, then test how well each message works.", "one_liner": "Create automated messages -- email, iOS/Android push, SMS and web…", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1416308940, "tags": [ "Messaging", "Analytics", "Notifications" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2015", "status": "Acquired", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/outbound", "api": "https://yc-oss.github.io/api/batches/winter-2015/outbound.json" }, { "id": 828, "name": "Rescue Forensics", "slug": "rescue-forensics", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://rescueforensics.com", "all_locations": "Nashville, TN, USA", "long_description": "Rescue Ops is a digital forensic that archives massive quantities of data from classified advertisement websites specializing in commercial sex ads for law enforcement agencies to use in anti-trafficking investigations.", "one_liner": "Actionable human trafficking intelligence", "team_size": 0, "industry": "Government", "subindustry": "Government", "launched_at": 1416310126, "tags": [ "Analytics", "Security" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2015", "status": "Inactive", "industries": [ "Government" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/rescue-forensics", "api": "https://yc-oss.github.io/api/batches/winter-2015/rescue-forensics.json" }, { "id": 850, "name": "Automate Ads", "slug": "automate-ads", "former_names": [ "Kuhcoon" ], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://kuhcoon.com", "all_locations": "San Mateo, CA, USA", "long_description": "On a mission to automate, optimize, and unify your digital advertising campaigns with incredible software.", "one_liner": "On a mission to programmatically automate, optimize, and unify your…", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1419816904, "tags": [ "Analytics", "Advertising" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2015", "status": "Inactive", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/automate-ads", "api": "https://yc-oss.github.io/api/batches/winter-2015/automate-ads.json" }, { "id": 879, "name": "SourceDNA", "slug": "sourcedna", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://sourcedna.com", "all_locations": "Oakland, CA, USA", "long_description": "Track code in iOS and Android apps with our software similarity web service. Discover code quality, origin, and intent with our in-depth scan. Our patent-pending analysis engine can match up code and find variants, cross-platform.\n\nSee our public report on SDK marketshare at http://sourcedna.com/stats", "one_liner": "Bringing transparency to the app stores and helping developers build…", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1429997721, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2015", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/sourcedna", "api": "https://yc-oss.github.io/api/batches/summer-2015/sourcedna.json" }, { "id": 1017, "name": "MineralSoft", "slug": "mineralsoft", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "https://mineralsoft.com", "all_locations": "Austin, TX, USA", "long_description": "MineralSoft is the leading solution for mineral rights and royalty management. \r\n\r\nAre you looking for a better way to manage your minerals? Whether you're an investment fund, a family office, an individual, or an advisor, MineralSoft has a tailored solution for you. We combine industry-leading software with experienced, professional service to maximize the value of your assets. \r\n\r\nSave time, make money, and get peace of mind by managing your oil & gas interests with MineralSoft.", "one_liner": "Data management platform for oil & gas assets", "team_size": 35, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1447311917, "tags": [ "Analytics", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2016", "status": "Acquired", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/mineralsoft", "api": "https://yc-oss.github.io/api/batches/winter-2016/mineralsoft.json" }, { "id": 1039, "name": "Interstate Analytics", "slug": "interstate-analytics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/67d327f7785e9bbcb484e75cc849ae5a34c64da2.png", "website": "http://interstateanalytics.com", "all_locations": "San Francisco, CA, USA", "long_description": "Interstate Analytics helps marketers make smarter decisions. The customers of the company are Betabrand, Outdoor Voices, EVERLANE, and JACK ERWIN. It pulls in its users’ visit, conversion, and spends data across all channels and centralizes it in a dashboard. It allows its users to spend less time wrangling data and more time acting on it. It applies attribution models to its users’ data that take into account all consumer touchpoints and makes better spend allocation decisions with accurate performance data. The company deterministically syncs marketing spends and conversion data across devices.\r\n\r\nInterstate Analytics was founded in 2015.", "one_liner": "Multi-Touch Marketing Analytics", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1447567516, "tags": [ "Analytics", "Marketing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2016", "status": "Inactive", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/interstate-analytics", "api": "https://yc-oss.github.io/api/batches/winter-2016/interstate-analytics.json" }, { "id": 1041, "name": "Pave", "slug": "pave", "former_names": [ "Pave", "PaveAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f3716a09550a1b2c2c7a45343cc359f6817528cf.png", "website": "https://www.paveai.com/", "all_locations": "Toronto, ON, Canada; Remote", "long_description": "We turn your Google Analytics data in actionable insights + reports with our data science AI algorithm.\r\n\r\nWe're a Y Combinator-backed company, and our users include Four Seasons Private Residences and Scribd.", "one_liner": "Pave analyzes Google Analytics + marketing data and sends you reports…", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1447568415, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2016", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Canada", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/pave", "api": "https://yc-oss.github.io/api/batches/winter-2016/pave.json" }, { "id": 1068, "name": "Quilt Data", "slug": "quilt-data", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "https://quiltdata.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "We realized that S3 is kind of like \"git for data\" and have created services that make S3 function as a data hub for teams. Quilt consists of a Python Client, a web catalog for browsing and visualizing S3, and a CloudFormation backend for compute and identity management.", "one_liner": "Quilt manages data like code so that companies can experiment faster", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1447748415, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2016", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/quilt-data", "api": "https://yc-oss.github.io/api/batches/winter-2016/quilt-data.json" }, { "id": 1088, "name": "flexEngage", "slug": "flexengage", "former_names": [ "flexReceipts" ], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://www.flexengage.com", "all_locations": "Orlando, FL, USA", "long_description": "flexEngage helps retailers personalize post-purchase communications, like receipts, to better engage their most committed customers and drive additional sales. \r\n\r\nAmazon is destroying traditional retailers with their data and software because most retailers can't afford to build it on their own. So instead, retailers resort to wasting billions of dollars on ineffective marketing like Facebook ads to try and compete, while ignoring their most effective marketing channel, post-purchase communications. flexReceipts provides retailers with Amazon-like software for their trillions of post-purchase communications, by turning static messages into a personalized marketing medium. We have a powerful data network effect; creating the world’s largest database of consumers’ shopping behavior currently at 300 million transactions and 47m unique consumer profiles. \r\n\r\nOther important information: \r\n- Our consumer database will replace the need for Nielsen, IRI, and Traqline - A $130b industry. \r\n- We're at $2.4m ARR,\r\n- Deployed in 11k stores nationwide by amazing brands like Under Armor, Michael Kors, Oakley, and GNC. \r\n- Contracts range from $25 - $500k yearly, recurring - with the majority being 3-year contracts. \r\n- Avg retailers you have never heard about, like Shoe Carnival and DXL, each represent $100k yearly recurring contracts for us. \r\n- We've run an efficient company while we found PMF. $2m still in the bank, $85k monthly burn. \r\n\r\n", "one_liner": "Dynamic transactional communications for physical stores to help…", "team_size": 25, "industry": "B2B", "subindustry": "B2B -> Retail", "launched_at": 1450418716, "tags": [ "Analytics", "Retail" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2016", "status": "Acquired", "industries": [ "B2B", "Retail" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/flexengage", "api": "https://yc-oss.github.io/api/batches/winter-2016/flexengage.json" }, { "id": 1438, "name": "Voiceops", "slug": "voiceops", "former_names": [ "Clover Intelligence", "Voice Ops", "VoiceOps", "Voiceops", "VoiceOps" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e326734ce45c54c41f0c6a0f3e7509a5edb06d56.png", "website": "https://voiceops.com", "all_locations": "New York, NY, USA", "long_description": "The richest data source about customers — their conversations — is the least accessible. Their mission is to provide easy access to customer conversations, and make voice data queryable. Their product analyzes the content of sales and support conversations and generates insights on phrases that maximize successful outcomes.", "one_liner": "We help B2C companies learn from every customer interaction", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1478051413, "tags": [ "Artificial Intelligence", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2017", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/voiceops", "api": "https://yc-oss.github.io/api/batches/winter-2017/voiceops.json" }, { "id": 1444, "name": "Bountiful", "slug": "bountiful", "former_names": [ "Vinsight" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/40bd701518c1492966677e92d610182861a00a02.png", "website": "https://bountiful.ag/", "all_locations": "San Francisco, CA, USA", "long_description": "We’re on a mission to optimize the agricultural industry.\r\n\r\nWhen we started Bountiful in 2015, the grape error rate for predicting production was 30 percent. Why? We found that many farmers in the specialty crops space were still using traditional pencil-and-paper techniques to predict yield. These low-fidelity forecasting methods weren’t giving them a clear enough understanding of their production until it was too late, leading to waste and inefficiency throughout the supply chain.\r\n\r\nWe saw a problem we wanted to solve.\r\n\r\nToday, Bountiful is using advanced data science to help farmers forecast more accurately, so they can make better decisions. In the last three years, we’ve combined the latest in machine learning with weather, satellite, geographic, and historical data. The result is a user-friendly platform that transforms volumes of complex agricultural information into simple, actionable insights farmers can use to run more economically and environmentally sustainable farms.\r\n\r\nMore recently, we’re working to open the dialogue between buyers and sellers, remove uncertainty, and provide clarity to the supply chain to meet global food demand.\r\n\r\nOur ultimate goal is to close the agricultural margin of error. Not only will this make individual farms more efficient, profitable, and sustainable, but it will help optimize the global food supply chain. That means healthier people and a healthier planet.", "one_liner": "An Operating System for agriculture.", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Agriculture", "launched_at": 1478053227, "tags": [ "Machine Learning", "Marketplace", "Analytics", "Agriculture" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2017", "status": "Active", "industries": [ "Industrials", "Agriculture" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/bountiful", "api": "https://yc-oss.github.io/api/batches/winter-2017/bountiful.json" }, { "id": 1644, "name": "Indivio", "slug": "indivio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8e7d48dd3dd9cd9f00d26de662d8d74acc7a4ae8.png", "website": "https://www.indiv.io", "all_locations": "Redwood City, CA, USA; Remote", "long_description": "Indivio's video creative automation capabilities enable modern marketing teams to more easily deliver dynamic video experiences that improve business outcomes.", "one_liner": "Customize videos to be more relevant and improve business outcomes.", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1493697113, "tags": [ "Analytics", "Video", "Personalization" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2017", "status": "Acquired", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/indivio", "api": "https://yc-oss.github.io/api/batches/summer-2017/indivio.json" }, { "id": 1751, "name": "ClearBrain", "slug": "clearbrain", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d5c4995d4edc2612597ff2b00cf6cc4b969c502.png", "website": "https://clearbrain.com/", "all_locations": "San Francisco, CA, USA", "long_description": "ClearBrain (YC W18) is a startup building the first self-serve AI platform for growth marketing.\r\n\r\nWe help companies automatically predict and retarget users when they are most likely to purchase. Fortune 1000 companies use ClearBrain’s automated machine learning platform to personalize experiences for hundreds of millions of user predictions - as effectively as Uber or Google.\r\n\r\nWe’re led by the founding engineers of Google Ads and Optimizely’s data infrastructure teams, and backed by investors in Dropbox, Optimizely, and AdMob. We’re a deeply technical team who value humility and customer empathy above all. As a group we’re also pretty good at bowling, D&D, and Rubik’s cubes.\r\n\r\nWe are building an advanced analytics platform with the challenge of making it accessible to a smart, capable clientele of growth experts that demands ease of use, utility, high availability and good responsiveness. You’ll join a startup environment where you'll be exposed to a variety of backend, frontend, machine learning frameworks in a fast-moving company!", "one_liner": "Causal Analytics for Growth Teams", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1509591800, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2018", "status": "Acquired", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/clearbrain", "api": "https://yc-oss.github.io/api/batches/winter-2018/clearbrain.json" }, { "id": 1763, "name": "Biobot Analytics", "slug": "biobot-analytics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/df9a4889e935ddd93b4102bb586d2990073ca598.png", "website": "http://biobot.io", "all_locations": "Cambridge, MA, USA", "long_description": "Our mission is to transform wastewater infrastructure into public health observatories.\r\n\r\nNamed as one of Fast Company’s most innovative companies in the world in 2021, Biobot Analytics is a wastewater epidemiology company and uses technology developed at MIT to measure biomarkers in sewage to better understand population health in cities. We first launched an opioid product to support government and public health officials in responding to the opioid epidemic, and in 2020 launched a Covid19 product to estimate the scope and trend of the outbreak in communities. We have operated in almost 500 communities across 43 U.S. states, generating Covid19 case estimates for over 13% of the U.S. population.\r\n\r\nBattling the opioid epidemic and now the Covid19 pandemic is just the beginning - we’re transforming sewage into a data asset and building a public health database. Eventually, Biobot data will be an early warning system for disease outbreaks, a map of nutrition disparities, and more.\r\n\r\nPlease visit our website at www.biobot.io", "one_liner": "Population health analytics powered by wastewater.", "team_size": 12, "industry": "Government", "subindustry": "Government", "launched_at": 1509599020, "tags": [ "Health Tech", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2018", "status": "Active", "industries": [ "Government" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/biobot-analytics", "api": "https://yc-oss.github.io/api/batches/winter-2018/biobot-analytics.json" }, { "id": 1774, "name": "Glimpse K12", "slug": "glimpse-k12", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0c2d4820bfd309e815cbd0ae84e1afb3bbdefdcc.png", "website": "http://www.glimpsek12.com/", "all_locations": "Huntsville, AL, USA", "long_description": "Glimpse12 captures everything you're doing to impact student outcomes and evaluates these activities in the context of student achievement.\r\n\r\nTraditionally, eROI is virtually impossible to track and manage. The company's approach maximizes district's education return on investment (eROI) by providing answers to critical questions essential to ensure your time and money are aligned with the unique needs of your students.", "one_liner": "Glimpse eliminates ineffective spending in schools.", "team_size": 6, "industry": "Education", "subindustry": "Education", "launched_at": 1509678247, "tags": [ "Education", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2018", "status": "Acquired", "industries": [ "Education" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/glimpse-k12", "api": "https://yc-oss.github.io/api/batches/winter-2018/glimpse-k12.json" }, { "id": 1830, "name": "Dataform", "slug": "dataform", "former_names": [ "Tada analytics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/46c81a7dc1e9ec184f2bab776059e6e905b81100.png", "website": "https://dataform.co", "all_locations": "London, England, United Kingdom", "long_description": "Dataform helps data teams build, version control, and deploy SQL pipelines in their data warehouse.\r\n\r\nAcquired by Google Cloud in December 2020. ", "one_liner": "Manage data in Snowflake, BigQuery, and Redshift", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1510196643, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2018", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/dataform", "api": "https://yc-oss.github.io/api/batches/winter-2018/dataform.json" }, { "id": 1923, "name": "College Pulse", "slug": "college-pulse", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1196f6ffc28bd113ad56362e8ea7a54f092556f4.png", "website": "https://collegepulse.com/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "College Pulse is the leading research and analytics company focused on college students. We have built the largest database of college student opinion with over 700K student panelists from 1500 universities in all 50 states, and we use our student panel to help our clients better understand the college demographic. Our ambition is to become a unique part of the global internet infrastructure - like Google for search, Facebook for social, Amazon for retail, we want it to be Pulse for public opinion.", "one_liner": "Research and analytics company focused on college students.", "team_size": 9, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1524715377, "tags": [ "Education", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2018", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/college-pulse", "api": "https://yc-oss.github.io/api/batches/summer-2018/college-pulse.json" }, { "id": 1970, "name": "Alpha Vantage", "slug": "alpha-vantage", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fccb7b1e6dbde25d668a442439b79122df4f20cd.png", "website": "https://www.alphavantage.co/", "all_locations": "Boston, MA, USA", "long_description": "Alpha Vantage provides enterprise-grade financial market data through a set of powerful and developer-friendly data APIs and spreadsheets. Whether you need traditional asset classes (e.g., stocks, ETFs, commodities), economic metrics, foreign exchange rates, cryptocurrencies, fundamental data or even technical indicators, Alpha Vantage is your one-stop shop for global market data delivered through REST APIs.", "one_liner": "Developer-friendly and enterprise-grade APIs for financial market…", "team_size": 8, "industry": "Fintech", "subindustry": "Fintech -> Banking and Exchange", "launched_at": 1525316905, "tags": [ "Developer Tools", "SaaS", "Analytics", "API", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2018", "status": "Active", "industries": [ "Fintech", "Banking and Exchange" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": true, "url": "https://www.ycombinator.com/companies/alpha-vantage", "api": "https://yc-oss.github.io/api/batches/summer-2018/alpha-vantage.json" }, { "id": 2005, "name": "Four Growers", "slug": "four-growers", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a86e5aae41ca760baa70c54d2b6ae402c4f84280.png", "website": "https://fourgrowers.com/", "all_locations": "Pittsburgh, PA, USA", "long_description": "Four Growers was founded to provide healthy, affordable, local produce by reducing the production costs of greenhouse growers through robotics technology. We are positioning ourselves to be the automated solutions provider for greenhouse crop management. We are working closely with various greenhouse growers to develop a tomato harvesting robot. Our technology relies on two layers of protection, patents filed protecting the physical design of the robot and a proprietary algorithm that controls the robot's decision making. Our solution is not only capable of harvesting the tomatoes, but also of performing a quality check and packaging.", "one_liner": "Robots that feed the world - robotic harvesting and analytics", "team_size": 14, "industry": "Industrials", "subindustry": "Industrials -> Agriculture", "launched_at": 1526346165, "tags": [ "Robotics", "Analytics", "Agriculture" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2018", "status": "Active", "industries": [ "Industrials", "Agriculture" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/four-growers", "api": "https://yc-oss.github.io/api/batches/summer-2018/four-growers.json" }, { "id": 2019, "name": "JuziBot", "slug": "juzibot", "former_names": [ "Bot Orange" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f06ad45b7f49712e329e6cfd50db0616164f6ce0.png", "website": "https://www.juzibot.com/", "all_locations": "Beijing, Beijing, China", "long_description": "JuziBot is a startup that provides smart marketing and sales services for customers on WeChat platform, the company helps SMBs build secure and stable key opinion customer (KOC) channels, as well as helps corporate clients with customer acquisition and sales conversion. JuziBot currently serves customers in education, insurance, healthcare, and a few other industries, some of the clients include Meituan Dianping, Digital China, Zuoyebang, etc., and 80% of these existing customers have been acquired through word of mouth. JuziBot's products have been known to improve the sales experience for one million sales professionals on a daily basis. \r\n\r\nThe company is invested by a number of leading VCs including PreAngel, Plug and Play, Y Combinator, TSVC, and Alpha Startups. JuziBot received the CCFA Retail Technology Rising Enterprise Award in 2018. In 2018 and 2019, respectively, the company won the 1st place in both of the task-based human-machine dialogue response naturalness, and the chat-type human-machine dialogue assessment in the SMP Chinese Human-Machine Dialogue Technology Evaluation held by the Chinese Information Processing Society of China (CIPSC).", "one_liner": "Intercom for WeChat, help companies to acquire, engage, retain…", "team_size": 34, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1527048483, "tags": [ "Chatbot", "Analytics", "Customer Support" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2019", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "China", "East Asia", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/juzibot", "api": "https://yc-oss.github.io/api/batches/winter-2019/juzibot.json" }, { "id": 11995, "name": "Nabis", "slug": "nabis", "former_names": [ "Nabis", "Nabis (Siban Holdings Inc.)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6b1f0448fe9e816db7b8e9986418bb4e67d4f019.png", "website": "https://www.nabis.com/", "all_locations": "San Francisco, CA, USA; Los Angeles, CA, USA; New York, NY, USA", "long_description": "Nabis is the #1 licensed cannabis wholesaling platform in California, supporting over 300 exclusive brands and supplying the entire network of state-licensed dispensaries with top-tier products. Nabis offers clients lightning-fast fulfillment, warehousing, payment processing, financing, data analytics, sales and marketing services to enable more brands and retailers to innovate, launch and scale.", "one_liner": "Nabis is the largest licensed cannabis wholesale platform.", "team_size": 300, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1541268298, "tags": [ "Fintech", "Marketplace", "B2B", "Cannabis", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2019", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/nabis", "api": "https://yc-oss.github.io/api/batches/winter-2019/nabis.json" }, { "id": 12258, "name": "Datamode", "slug": "datamode", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/028000b4921cd21235c9b7b837cd86a36f92a101.png", "website": "http://www.datamode.com", "all_locations": "Seattle, WA, USA", "long_description": "We're building a tool to help data engineers diagnose problems in their data pipelines. Datamode integrates with the technologies you use to provide a single place to start investigating problems and reduce the mean time to diagnosis. This means higher data quality and improved reliability for the business.", "one_liner": "Datamode (datamode.com) is a tool for engineers to instantly diagnose…", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1543978906, "tags": [ "Analytics", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2019", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/datamode", "api": "https://yc-oss.github.io/api/batches/winter-2019/datamode.json" }, { "id": 12509, "name": "PopSQL", "slug": "popsql", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/79a599a24d933d5f21dc134891224337e7ef167a.png", "website": "https://popsql.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Every company wants to use data to make informed decisions, and SQL is the lingua franca for data. However, data collaboration is broken. People are rewriting each other's queries, switching apps to visualize their data, and copying/pasting SQL into Slack.\r\n\r\nPopSQL solves this by creating a beautiful, fun way to write SQL, visualize data, and share results. The product is loved by data teams from over 2000 companies including DoorDash, Shipt, Redfin, and Optimizely. What we've built so far is just the beginning. Join us and build a great product, a great culture, and a great company 🚀", "one_liner": "SQL editor for teams", "team_size": 15, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1554325626, "tags": [ "Developer Tools", "SaaS", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2019", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/popsql", "api": "https://yc-oss.github.io/api/batches/summer-2019/popsql.json" }, { "id": 12584, "name": "Intersect Labs", "slug": "intersect-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/58ea925e040ce431be15ab191a38f9b8e9fe3470.png", "website": "https://www.intersectlabs.io/", "all_locations": "San Diego, CA, USA", "long_description": "Bring your data from various sources, process it, send it to a destination of your choice (and repeat all of that in a few clicks every day/week/month)", "one_liner": "Collaborative data noteboook for business teams", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1556172206, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2019", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/intersect-labs", "api": "https://yc-oss.github.io/api/batches/summer-2019/intersect-labs.json" }, { "id": 12598, "name": "Narrator", "slug": "narrator", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/18139ce5e1ad199f99ea66921af1fd68a63f6e95.png", "website": "https://www.narratordata.com/", "all_locations": "New York, NY, USA; Remote", "long_description": "Narrator is an end-to-end platform built on top of the data standard, the Activity Schema and starting at $500/mo. Data analyst are able to build their definitions of their user journey, and use that journey to answer any question that comes up. From there, data can be visualized in a dashboard, used to build a story like analysis, exported and more. \r\n\r\nThe biggest values of Narrator is Speed and Cost reduction. Small teams are able to move fast and answer questions in minutes allowing them to preform the work of very large data teams. All while Narrator is optimized to minimize compute cost of the warehouse.", "one_liner": "The only platform that can prep data to answer EVERY question you…", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1556223953, "tags": [ "Analytics", "Big Data", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2019", "status": "Inactive", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/narrator", "api": "https://yc-oss.github.io/api/batches/summer-2019/narrator.json" }, { "id": 12724, "name": "Chaos Genius", "slug": "chaos-genius", "former_names": [ "GoodHealth" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4d680463f8fee3408726becdad9bccd8e14c8a1.png", "website": "http://www.chaosgenius.io", "all_locations": "Bengaluru, India; San Francisco, CA, USA; Remote", "long_description": "Chaos Genius is a DataOps Observability platform for Snowflake. Enable Snowflake Observability to reduce Snowflake costs and optimize query performance.", "one_liner": "DataOps Observability Platform for Snowflake", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1600455323, "tags": [ "Cloud Workload Protection", "Machine Learning", "Analytics", "Open Source", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2020", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "India", "United States of America", "South Asia", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/chaos-genius", "api": "https://yc-oss.github.io/api/batches/winter-2020/chaos-genius.json" }, { "id": 12862, "name": "Meridian Industries", "slug": "meridian-industries", "former_names": [ "Houston", "Index" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d8d3cb25a60e81613dcaac912d3f28552022bc8.png", "website": "https://mora.com", "all_locations": "San Francisco, CA, USA", "long_description": "Index is a next-generation business intelligence (BI) tool designed for data teams and analysts to rapidly create, share, and explore interactive dashboards. By combining powerful SQL capabilities with a collaborative workspace, Index simplifies complex data visualization and enables teams to make faster, data-driven decisions.", "one_liner": "Index is the modern business intelligence platform", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1599762607, "tags": [ "SaaS", "B2B", "Analytics", "Data Visualization", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2019", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/meridian-industries", "api": "https://yc-oss.github.io/api/batches/summer-2019/meridian-industries.json" }, { "id": 12865, "name": "Blockstamp", "slug": "blockstamp", "former_names": [ "Nomad Rides", "Nomad Moments", "Nomad Rides", "Nomad Rides", "Debt Destroyer (Formerly Nomad Rides)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e0a56addcb5928c94d970f698a43c7aadc2b07eb.png", "website": "https://www.blockstampsf.com/", "all_locations": "Los Angeles, CA, USA; San Francisco, CA, USA", "long_description": "Blockstamp is an asset management software for industrial equipment. We provide in-depth analytics and fleet management dashboards for industrial equipments (forklifts, cranes, hoists, etc.). We help large manufacturing companies manage their fleets of industrial equipment to allow them to make business decisions.", "one_liner": "Blockstamp is an asset management software for industrial equipment", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1559271763, "tags": [ "Industrial Workplace Safety", "Analytics", "Manufacturing", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2019", "status": "Inactive", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/blockstamp", "api": "https://yc-oss.github.io/api/batches/summer-2019/blockstamp.json" }, { "id": 13075, "name": "Okay", "slug": "okay", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/16bf15fbd2dcfd9b5d7b0fafe67c6d1d252abeba.png", "website": "https://www.okayhq.com", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Dashboards and actionable insights for high-performing engineering…", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1597778946, "tags": [ "Analytics", "DevOps" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2020", "status": "Acquired", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/okay", "api": "https://yc-oss.github.io/api/batches/winter-2020/okay.json" }, { "id": 13096, "name": "Enveloop", "slug": "enveloop", "former_names": [ "BuildPlane" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d66b70377a1145619cac5a7e482214e104c46e92.png", "website": "http://www.enveloop.com", "all_locations": "Birmingham, AL, USA; Remote", "long_description": "A developer-focused message builder and API that makes it easy to send emails and texts from your app using one simple implementation. We’re doing for mailer libraries what Prisma does for ORMs. ", "one_liner": "Design and send messages from your app with a simple API.", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1584224696, "tags": [ "Developer Tools", "SaaS", "B2B", "Messaging", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2020", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/enveloop", "api": "https://yc-oss.github.io/api/batches/winter-2020/enveloop.json" }, { "id": 13102, "name": "Explo", "slug": "explo", "former_names": [ "A La Carte", "Roco Recipes", "Kaz", "Sphere" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/780b4e13b382139633e716a4aa5a74afed2cbe10.png", "website": "https://explo.co/", "all_locations": "New York City, NY, USA", "long_description": "Explo allows you to build customer-facing dashboards and reporting, lightning-fast. With Explo, you can create custom white-labeled dashboards for your application, share custom reports, or embed an AI report builder.\r\n\r\n- Dashboards: build fully white-labled dashboards for your application or enable your users to create their own dashboards from a library of charts you create\r\n\r\n- Report Builder: embed a full self-service analytics experience into your application, allowing your users to create their own tables and charts from scratch\r\n\r\n- Email: cadenced and one off emails to share analytics and data with your users\r\n\r\n- Explo AI: embed an AI experience into your product to enable your users to gain insights into their data\r\n\r\nExplo is built for product teams and developers. We power analytics of all sizes from YC companies to Fortune 500 companies.", "one_liner": "Embedded Analytics and Data Sharing Platform", "team_size": 24, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1584125663, "tags": [ "SaaS", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2020", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/explo", "api": "https://yc-oss.github.io/api/batches/winter-2020/explo.json" }, { "id": 13242, "name": "Quill", "slug": "quill", "former_names": [ "Stryve", "Circle", "Shopstack", "Blueprint" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cadeb9c28b524b34507f63691f600743f4fa5b6f.png", "website": "https://quill.co", "all_locations": "San Francisco, CA, USA", "long_description": "React Library, API, and Management Toolkit, purpose built for customer-facing dashboards.", "one_liner": "Fullstack API and management platform for dashboards and reporting", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1584143839, "tags": [ "SaaS", "Analytics", "API", "Data Visualization" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2020", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/quill", "api": "https://yc-oss.github.io/api/batches/winter-2020/quill.json" }, { "id": 21781, "name": "Datafold", "slug": "datafold", "former_names": [ "Datafold", "datafold" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/196898f11a9311436ed24d99e2972511f8433f5d.png", "website": "https://datafold.com", "all_locations": "New York, NY, USA; Remote", "long_description": "Datafold automates manual work in data engineering. \r\n\r\nWe leverage agentic AI to automate both day-to-day tasks, such as testing and code reviews, and massive one-off projects, such as data platform code migrations. Companies from Perplexity to Disney use Datafold to unlock more value from their data by freeing up their data teams from manual work, accelerating developer velocity, and ensuring data quality.", "one_liner": "Automating manual and repetitive data engineering tasks with AI", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1599762606, "tags": [ "SaaS", "Analytics", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2020", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/datafold", "api": "https://yc-oss.github.io/api/batches/summer-2020/datafold.json" }, { "id": 21782, "name": "Lightdash", "slug": "hubble", "former_names": [ "Hubble" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a88272bf08bd6e30982b7eb442db6a1219b3b388.png", "website": "http://lightdash.com/", "all_locations": "London, England, United Kingdom; Remote", "long_description": "Lightdash is an open-source Looker alternative. It's built on top of dbt and lets users centralise all their team's business logic in one place. ", "one_liner": "The open source Looker alternative ", "team_size": 23, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1599762606, "tags": [ "Developer Tools", "B2B", "Analytics", "Open Source", "Data Visualization" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2020", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United Kingdom", "Europe", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/hubble", "api": "https://yc-oss.github.io/api/batches/summer-2020/hubble.json" }, { "id": 21795, "name": "QuestDB", "slug": "questdb", "former_names": [ "QuestDB Limited" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3aef5c655cdc851ccad387554c204466a87669e7.png", "website": "https://questdb.com/", "all_locations": "London, England, United Kingdom", "long_description": "QuestDB is a high-performance open source database for the most demanding workloads. Native support for Parquet, Iceberg and SQL keeps your data portable, AI-ready, without vendor lock-in.\r\n\r\nQuestDB is designed from the ground up to operate as close to the hardware as possible - eliminating ingestion bottlenecks and lowering overall hardware requirements.\r\n\r\nQuestDB powers mission-critical infrastructure for companies in Capital Markets, Crypto, Space Exploration, Energy and Robotics/Physical AI.", "one_liner": "High-performance time series database", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1593714682, "tags": [ "Developer Tools", "Analytics", "Open Source", "Time Series" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2020", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/questdb", "api": "https://yc-oss.github.io/api/batches/summer-2020/questdb.json" }, { "id": 21810, "name": "RTCanary", "slug": "rtcanary", "former_names": [ "Postered" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4ec97b498b05dee7edfc68e0372c6de558aa1e3c.png", "website": "https://www.RTCanary.com", "all_locations": "San Jose, CA, USA; Remote", "long_description": "WebRTC is the reason we’ve stayed connected and productive during the COVID era, powering most of the browser-based video communications platforms you use every day (Google Meet, Facebook Messenger, etc.). But when a call gets dropped or the audio cuts out, it’s hard for the video developers to understand why it happened. This is a major problem for new players in the video chat industry that lose customers because of call quality issues; customers should be able to use video platforms with the features they want without having to sacrifice call quality.", "one_liner": "We are a monitoring and analytics plugin for all video chat platforms.", "team_size": 0, "industry": "Consumer", "subindustry": "Consumer -> Virtual and Augmented Reality", "launched_at": 1611981310, "tags": [ "SaaS", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2020", "status": "Inactive", "industries": [ "Consumer", "Virtual and Augmented Reality" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/rtcanary", "api": "https://yc-oss.github.io/api/batches/summer-2020/rtcanary.json" }, { "id": 22126, "name": "Mito", "slug": "mito", "former_names": [ "Saga", "Mtio" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f1806ed31ccae256cd4739f203e4b05a30a49eea.png", "website": "http://trymito.io", "all_locations": "New York, NY, USA; Remote", "long_description": "Mito is Cursor for data science. We’re building an AI enabled IDE to 10x the productivity of data people. Data analysts use Mito to automate reports without relying on internal engineering resources. \r\n\r\nMito is used by thousands of business analysts, data scientists, and automation engineers at some of the world's largest banks, private equity shops, and consulting firms. \r\n\r\nOpen source is key to our enterprise sales strategy. Mito is open source and built on top of Jupyter. That means getting started with Mito is as simple as running `pip install` and doesn't require enterprises to manager new infrastructure. \r\n\r\nCheck us out at: https://www.trymito.io/", "one_liner": "Cursor for data analysis", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1660746128, "tags": [ "Developer Tools", "Analytics", "Open Source", "Data Science", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2020", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/mito", "api": "https://yc-oss.github.io/api/batches/summer-2020/mito.json" }, { "id": 22703, "name": "Bluelight", "slug": "bluelight", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6eef372188bf11f727a7e18932768426714ab7f0.png", "website": "https://usebluelight.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Bluelight gives home service contractors the power of real-time data to optimize and scale their business.", "one_liner": "Analytics, built for the trades.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1614629753, "tags": [ "SaaS", "B2B", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/bluelight", "api": "https://yc-oss.github.io/api/batches/winter-2021/bluelight.json" }, { "id": 22772, "name": "Prequel", "slug": "prequel", "former_names": [ "Vigo" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/adf6a0c470e58a697fb3d5dfb5dbbe734d9aa0fd.png", "website": "https://prequel.co", "all_locations": "New York, NY, USA", "long_description": "Prequel makes it easy for companies to share data with their customers. It helps you export data directly to your customer's Snowflake, Redshift, BigQuery, Databricks, or other data warehouse on an ongoing basis.", "one_liner": "Helping B2B co's sync data to their customers", "team_size": 9, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1614619481, "tags": [ "SaaS", "Analytics", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/prequel", "api": "https://yc-oss.github.io/api/batches/winter-2021/prequel.json" }, { "id": 22823, "name": "June", "slug": "june", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e7f5da22c38acb9a212882198584da041113894b.png", "website": "http://june.so", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "June is a plug & play product analytics for B2B SaaS. \r\n\r\nIt automatically generates graphs of the metrics you should track, lets you view your company-level metrics, and zoom into them! ", "one_liner": "June is the new way to do product analytics", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1614364832, "tags": [ "Analytics", "Data Visualization" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Inactive", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/june", "api": "https://yc-oss.github.io/api/batches/winter-2021/june.json" }, { "id": 22951, "name": "Datrics", "slug": "datrics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/497093f34ecc13678b906d7569a6740cbcbb4952.png", "website": "https://datrics.ai", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Datrics HCP streamlines healthcare insurance claims with advanced AI technology,\r\nimproving accuracy, reducing processing time, and eliminating costly errors.", "one_liner": "Generative AI Healthcare Coding Automation", "team_size": 22, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1611469416, "tags": [ "B2B", "Analytics", "Healthcare", "Health Insurance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/datrics", "api": "https://yc-oss.github.io/api/batches/winter-2021/datrics.json" }, { "id": 22968, "name": "Trendpop", "slug": "trendpop", "former_names": [ "StreamReport" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b40e160733825b6020e2d1156723b24f3f649def.png", "website": "http://trendpop.com", "all_locations": "San Francisco, CA, USA", "long_description": "Trendpop is the leading analytics and insights platform for short-form video marketing. We’re on a mission to help anyone go viral on social video platforms. We’re a deeply technical team that has taken a data-first approach to this problem: our core engine has collected over a billion social video posts that are analyzed with state-of-the-art algorithms to understand the recommendation algorithms that power virality. \r\n\r\nTrendpop was co-founded by Yoav Zimmerman (CEO) and Jonathan (Yoni) Ben-tzur (CTO) in August 2020, raising money from YCombinator (W21) to build Trendpop and growing to profitability in 12 short months. In January 2022, Trendpop was acquired by Collab, a veteran company in the digital creator space and an official TikTok creative and marketing partner. Today, Trendpop powers the TikTok marketing programs of top major record labels in North America and is quickly expanding to new markets in the film, television, beauty, and DTC eCommerce industry. Trendpop is currently used by leading marketing and A&R professionals in the music industry (both indie and major) to help their artists go viral on TikTok and hundreds of brands and creators who consistently win on social video.", "one_liner": "Discover trends as they happen", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1626217428, "tags": [ "Analytics", "Social Media", "Music", "Creator Economy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/trendpop", "api": "https://yc-oss.github.io/api/batches/winter-2021/trendpop.json" }, { "id": 23259, "name": "Haystack", "slug": "haystack", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff1cda43059b714dc8f36a50fe66096c4ac537ca.png", "website": "https://usehaystack.io/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "We are bringing the competitive advantage data-driven engineering teams like Google have - to everyone else.\r\n\r\nOur analytics platform plugs directly into developer tools like Github to provide insights on delivery speeds, bottlenecks, and risks that impact team velocity & developer happiness. \r\n\r\nWe're trusted by some of the world’s most innovative teams: Microsoft, The Economist, and Indiegogo and backed by Y Combinator, Soma Capital, Funders Club, and strategic angels (Founder @Optimizely, SVP Sales @Amplitude) . \r\n\r\nHaystack is a culture of tinkering, learning, testing and iterating. We ship quickly and help our customers do the same. We're led by founded by two technical founders who have experienced this problem first-hand after scaling their startups from 0 to 100m+ users. ", "one_liner": "Delivery Analytics for Software Teams", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1614623869, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/haystack", "api": "https://yc-oss.github.io/api/batches/winter-2021/haystack.json" }, { "id": 23530, "name": "Waydev AI", "slug": "waydev-ai", "former_names": [ "Waydev" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90694f4bdb7eb8f17b02f85faee3e3455edb365b.png", "website": "https://waydev.co/", "all_locations": "Menlo Park, CA, USA; Remote", "long_description": "Waydev tracks AI-generated code from commit to production. AI Checkpoints capture which agent wrote each change, tokens consumed, cost per PR, acceptance rate, and whether it actually deployed — so you can compare Copilot, Cursor, and Claude Code on real production outcomes, not vibes.\r\n\r\nEngineering leaders use Waydev to measure AI adoption by team, monthly spend, and tokens per developer, then tie it back to delivery. The Waydev Agent answers plain-English questions about your AI investment (\"which team gets the most ROI from Cursor?\").\r\n\r\nBuilt for VPs of Engineering and CTOs at companies running real AI coding budgets.\r\n\r\nTrusted by Dropbox, American Express, Caterpillar, and PwC. YC W21.", "one_liner": "Track AI-generated code from commit to production", "team_size": 13, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1616455133, "tags": [ "AIOps", "Artificial Intelligence", "Analytics", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": true, "url": "https://www.ycombinator.com/companies/waydev-ai", "api": "https://yc-oss.github.io/api/batches/winter-2021/waydev-ai.json" }, { "id": 23541, "name": "Mayan", "slug": "mayan", "former_names": [ "Mayanalytics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3156f1474cc8f79243b1ef9315efb33362a2e9f7.png", "website": "https://www.mayan.co", "all_locations": "Las Vegas, NV, USA; Remote", "long_description": "We help Amazon sellers grow their business with our data-driven automations. We are starting out with advertising and inventory. From there, we're moving to other avenues that help accelerate brand growth! ", "one_liner": "A growth automation platform for Amazon sellers", "team_size": 14, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1614757171, "tags": [ "SaaS", "Analytics", "E-commerce" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/mayan", "api": "https://yc-oss.github.io/api/batches/winter-2021/mayan.json" }, { "id": 23598, "name": "SwiftSku", "slug": "swiftsku", "former_names": [ "SwiftSku", "Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3bb40b858fa07c3be03a29e849b4171670bbe91c.png", "website": "https://swiftsku.com", "all_locations": "New York, NY, USA; Remote", "long_description": "SwiftSku connects the $650B convenience store industry with management and analytics. \r\n\r\nSwiftSku’s app connects to point of sales at convenience stores in real time, enabling owners to remotely manage and monitor their stores. We take the guesswork out of running a convenience store with predictive analytics, dashboards, and reports.\r\n\r\nSwiftSku's CEO, Mit Patel, grew up managing the inventory, pricebook, and reporting of his family’s convenience stores, and, when vendors would come by, he’d bridge the language barrier as a translator. More than 85% of independent convenience stores are owned by Indian families like Mit’s.\r\n\r\nSolving convenience store owners' pains of today leads to SwiftSku's greater vision of optimizing the supply chain, facilitating a retailer agnostic consumer to brand relationship, and providing real time insights to brands and retailers.", "one_liner": "Management and analytics software for convenience stores", "team_size": 35, "industry": "B2B", "subindustry": "B2B -> Retail", "launched_at": 1614638915, "tags": [ "Fintech", "SaaS", "B2B", "Analytics", "Retail Tech" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Retail" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/swiftsku", "api": "https://yc-oss.github.io/api/batches/winter-2021/swiftsku.json" }, { "id": 23954, "name": "Serif Health", "slug": "serif-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b34a9937df90f010a7a0ad7dcae030b7c2469c94.png", "website": "https://www.serifhealth.com", "all_locations": "Los Angeles, CA, USA; Remote", "long_description": "At Serif Health, we are taking the complexity out of the cost of healthcare. Our mission is to make healthcare pricing and contracting more transparent, easier to understand, fairer, and ultimately more affordable for all. New price transparency regulations have made a wealth of healthcare pricing and reimbursement data publicly available for the first time, but it is still extremely hard to ingest, organize, and actually use this data to understand the cost of care. That’s where we come in. Serif Health is building healthcare price intelligence data products and APIs to power the future of more transparent healthcare.\r\n\r\nWe are an early-stage, venture-backed startup with a small, collaborative team of healthcare experts, engineers, and designers. We are excited to add new team members motivated by our mission, passionate about making a difference in healthcare, and looking forward to learning and growing from the challenges we will face along the way!", "one_liner": "Healthcare Price Transparency APIs and Data Products", "team_size": 20, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare Services", "launched_at": 1646347894, "tags": [ "Artificial Intelligence", "Health Tech", "Analytics", "Healthcare", "API" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "Healthcare", "Healthcare Services" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/serif-health", "api": "https://yc-oss.github.io/api/batches/winter-2022/serif-health.json" }, { "id": 23967, "name": "Varos", "slug": "varos", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1d8d1d12eabe00614dddbb8b85a798561bc42d4d.png", "website": "http://varos.com", "all_locations": "San Francisco, CA, USA", "long_description": "Varos AI delivers the work of business analysts 10x faster, better & cheaper with AI agents built for discovery.\r\n\r\nArthur, our AI agent, acts as a Senior Business Analysts and works for you 24/7 in any language. He conducts intelligent 10-15 minutes voice or text-based interviews with your teams to rapidly capture the institutional knowledge you need to execute on projects. He learns from each conversation, cross-references information, and analyzes all the findings to deliver actionable insights. \r\n\r\nArthur is an expert at capturing mapping & optimizing complex processes, gathering knowledge from employees' heads and documenting it, supporting automation projects, uncovering root causes to significant problems and more. \r\n\r\nAll this information gathered is turned into a private, secure knowledge base that can be used by the org → turning tribal knowledge into institutional knowledge.\r\n\r\nFor example, Arthur unblocked a critical system migration for a large financial system in 3 days by interviewing 100+ operators in the org, replacing a $1m & 6 month engagement of a consulting firm.\r\n\r\nBacked by Y Combinator, Mosaic General Partnership, and leading financial institutions ($8.5m in funding).", "one_liner": "AI Business Analysts to gather requirements and optimize processes", "team_size": 9, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1625426750, "tags": [ "SaaS", "B2B", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/varos", "api": "https://yc-oss.github.io/api/batches/summer-2021/varos.json" }, { "id": 24064, "name": "Confido", "slug": "confido", "former_names": [ "OutFit" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/29db94cccb8fb04c76b3795f179303c30d31cc11.png", "website": "https://www.confidotech.com", "all_locations": "New York, NY, USA", "long_description": "Confido is a next-generation financial automation and intelligence platform that helps fast-growing CPG brands operate and scale more efficiently. ", "one_liner": "AI-enabled financial automation and intelligence for CPG Brands", "team_size": 28, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1627617699, "tags": [ "Artificial Intelligence", "Fintech", "SaaS", "B2B", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/confido", "api": "https://yc-oss.github.io/api/batches/summer-2021/confido.json" }, { "id": 24159, "name": "Patterns", "slug": "patterns", "former_names": [ "Snapdata", "Basis", "Patterns", "Atoma" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/55e8a16f61ac33cced5393c8d68ea9f0899f1e49.png", "website": "https://patterns.app/", "all_locations": "San Francisco, CA, USA", "long_description": "Patterns revolutionizes financial analysis by making it easy and accessible through natural language. We are seeking passionate individuals excited about simplifying financial analytics and transforming business intelligence. If you're interested in joining an innovative team in the finance space, explore our job openings and become part of our mission.\r\n\r\nOur advanced AI transforms financial data workflows and reporting, surpassing traditional spreadsheets and inflexible SaaS solutions. By integrating state-of-the-art LLMs with autonomous querying and financial reasoning, Patterns empowers practitioners to perform complex analyses effortlessly via a natural language interface.", "one_liner": "Next-Gen Financial Analysis and Reporting with AI Agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1627403220, "tags": [ "Analytics", "Data Science", "Data Engineering", "Data Visualization" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Inactive", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/patterns", "api": "https://yc-oss.github.io/api/batches/summer-2021/patterns.json" }, { "id": 24191, "name": "Secoda", "slug": "secoda", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4b049a52be34bb701fef7828f1cea14c3624e5f6.png", "website": "https://secoda.co", "all_locations": "Toronto, ON, Canada", "long_description": "We believe that finding the right data shouldn’t require a technical background or hours of digging. That’s why Secoda applies AI to transform messy, siloed analytics into a searchable, intuitive knowledge layer—so every question gets a fast, useful answer.\r\n\r\nOur vision is to become the AI search engine for your company’s analytics, making data discovery as seamless as finding a website on Google. To do that, Secoda gets data AI-ready by unifying governance, cataloging, observability, and lineage into one trusted, easy-to-use platform—empowering every team to move faster, stay compliant, and make smarter decisions.", "one_liner": "Secoda is the AI layer for your Analytics", "team_size": 27, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1626792128, "tags": [ "Artificial Intelligence", "SaaS", "B2B", "Analytics", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Canada", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/secoda", "api": "https://yc-oss.github.io/api/batches/summer-2021/secoda.json" }, { "id": 24192, "name": "Kaya", "slug": "kaya", "former_names": [ "Noya Services" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/49d23ad85cfad5340e0dde3d661cd1903f74ac16.png", "website": "https://www.usekaya.com/", "all_locations": "London, England, United Kingdom; Remote", "long_description": "Kaya is on a mission to help businesses achieve rapid growth through digital advertising. With our cutting-edge technology and experienced marketers, we deliver ad campaigns 10x cheaper, better and faster than traditional agencies. In less than a year, we’ve helped 120+ businesses achieve multiple fold growth on their ad campaigns, without the steep fees typically associated with high-quality marketing services.\r\n\r\nCheck out what some of our customers have to say here: usekaya.com/reviews", "one_liner": "Marketing agency for startups: 10x cheaper, better and faster", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1652823880, "tags": [ "SaaS", "B2B", "Analytics", "Marketing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United Kingdom", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/kaya", "api": "https://yc-oss.github.io/api/batches/summer-2021/kaya.json" }, { "id": 24250, "name": "Breadcrumbs.io", "slug": "breadcrumbs-io", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e428b571dcd57f52e3df670e2dc5bdc62d03aaa2.png", "website": "http://www.breadcrumbs.io", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Breadcrumbs analyzes customer and prospect data to identify hidden revenue opportunities. It does this through a no-code scoring engine that can be set up in minutes rather than months. Because of Breadcrumbs sales teams can now focus on the right opportunity at the right time.", "one_liner": "No-code scoring engine identifying your most engaged upsell opps", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1626315567, "tags": [ "Analytics", "No-code" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Acquired", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/breadcrumbs-io", "api": "https://yc-oss.github.io/api/batches/summer-2021/breadcrumbs-io.json" }, { "id": 24304, "name": "Scratch Data", "slug": "scratch-data", "former_names": [ "Hotswap", "Tasker", "Journalize" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/da76e9943d4f25da898d4584a50149b4f8feff25.png", "website": "https://www.scratchdata.com", "all_locations": "New York, NY, USA; Remote", "long_description": "ScratchDB is a platform that automates all aspects of managing an analytical database: server configuration, data ingestion, queries, replication, and sharding. We are built on top of Clickhouse with a developer experience that you'll love.", "one_liner": "Analytics for builders. Record and query billions of datapoints with…", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1627940464, "tags": [ "Developer Tools", "SaaS", "B2B", "Analytics", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Inactive", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/scratch-data", "api": "https://yc-oss.github.io/api/batches/summer-2021/scratch-data.json" }, { "id": 24390, "name": "GetDot", "slug": "getdot", "former_names": [ "Snowboard Software GmbH", "Snowboard Software", "Seld", "Sled", "Dot" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a36b7c96b74a0599b17814e9f0a758e676fd706a.png", "website": "https://getdot.ai", "all_locations": "Berlin, Berlin, Germany; Remote", "long_description": "Our mission is to help everybody in an organization to take data-driven decisions, by democratizing access to trusted high-quality data and metrics. \r\n\r\n**Chat with your Data Warehouse**\r\n\r\nAnswer most business questions instantly 24/7. Data teams can focus on deep work, not on answering easy questions about dashboards.\r\n\r\nDot understands your existing data stack: tables, SQL queries, documentation, DBT metrics or LookML are its learning material.\r\n\r\nUsers can interact via Slack, Teams or our native web app.\r\n\r\n➡️ https://getdot.ai/", "one_liner": "Your AI Data Analyst", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1624988056, "tags": [ "SaaS", "B2B", "Analytics", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Germany", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/getdot", "api": "https://yc-oss.github.io/api/batches/summer-2021/getdot.json" }, { "id": 24499, "name": "Endla", "slug": "endla", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3964fbff527341490472ba6e23806a1eec6a7469.png", "website": "https://endla.com", "all_locations": "Brisbane, QLD, Australia; Remote", "long_description": "Endla increases the value of oil & gas wells by providing software that helps design the well that maximizes ROI.\r\n\r\nOur product AlphaSpace, optimizes the well design by automatically producing many high-quality options which the engineer can then measure against their business objectives (auto-design). Having software that finds the optimal solution, empowers the engineer to work a layer up on understanding the problem and specifying the important objectives.\r\n\r\nOur vision is to make auto-design and auto-operation software part of the workflow for every engineer working with physical assets.", "one_liner": "Software that increases the value of oil & gas wells", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1625096409, "tags": [ "Analytics", "Energy", "Big Data" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Australia", "Oceania", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/endla", "api": "https://yc-oss.github.io/api/batches/summer-2021/endla.json" }, { "id": 24573, "name": "Telmai", "slug": "telmai", "former_names": [ "Telm.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/263d4d84c92376ed8c755e0f7348f5c855dc3ec8.png", "website": "https://www.telm.ai/", "all_locations": "San Francisco, CA, USA; Foster City, CA, USA; Remote", "long_description": "Telmai is a Data observability and Data Quality platform designed for Open architecture. It monitors data stored/managed in any data system, such as a data lake or data warehouse, in its raw format at scale without sampling", "one_liner": "Automated data observability and quality for Data Lake", "team_size": 12, "industry": "B2B", "subindustry": "B2B", "launched_at": 1629822671, "tags": [ "Analytics", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": true, "question_answers": false, "url": "https://www.ycombinator.com/companies/telmai", "api": "https://yc-oss.github.io/api/batches/summer-2021/telmai.json" }, { "id": 24668, "name": "Shape", "slug": "shape", "former_names": [ "Teamhouse (working title)", "Teamhouse", "Teamspace", "CollabKit" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c1d69b18436177dca9fb962a80757945ac7efcb.png", "website": "https://shape.xyz", "all_locations": "London, England, United Kingdom; Remote", "long_description": "Shape lets workers get access to data insights without having to write SQL. ", "one_liner": "Get data insights without writing SQL", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1628116141, "tags": [ "Analytics", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United Kingdom", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/shape", "api": "https://yc-oss.github.io/api/batches/summer-2021/shape.json" }, { "id": 24827, "name": "Evidence", "slug": "evidence", "former_names": [ "Evidence.dev" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d8b363264f6bac1f6d0ca15696cb97172806885.png", "website": "https://www.evidence.dev", "all_locations": "Toronto, ON, Canada; Remote", "long_description": "Evidence is an open source, code-based alternative to drag-and-drop BI tools. Build polished data products with just SQL and markdown.", "one_liner": "Business intelligence as code", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1628028455, "tags": [ "Developer Tools", "B2B", "Analytics", "Data Engineering", "Data Visualization" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Canada", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/evidence", "api": "https://yc-oss.github.io/api/batches/summer-2021/evidence.json" }, { "id": 25174, "name": "GrowthBook", "slug": "growthbook", "former_names": [ "Growth Book" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c060531ea33b3550b25532f59de594cc620f374.png", "website": "https://www.growthbook.io", "all_locations": "Palo Alto, CA, USA; Remote", "long_description": "GrowthBook is an open source platform to help companies make data-driven product decisions with feature flags and A/B tests. \r\n\r\nExisting SaaS solutions like LaunchDarkly require a company to send all of their data to them. This results in high costs, data compliance issues, and vendor lock-in. As a result, many companies end up building their own platforms in-house, which can take thousands of hours of work and lots of headaches. To solve this, GrowthBook uses a company's existing data infrastructure and business metrics.\r\n\r\nWe believe feature flags and experimentation are the right way to build products at scale and that they will become a standard part of the development process. GrowthBook is well positioned to be a leader in this growing market.", "one_liner": "Open source feature flagging and A/B testing", "team_size": 40, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1645834859, "tags": [ "Developer Tools", "B2B", "Analytics", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/growthbook", "api": "https://yc-oss.github.io/api/batches/winter-2022/growthbook.json" }, { "id": 25272, "name": "Redbird", "slug": "redbird", "former_names": [ "Cube" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/39ebc48cd35c22d4c08ba48f40dd02101c10e35a.png", "website": "https://www.redbird.io", "all_locations": "New York, NY, USA", "long_description": "Redbird is an AI-powered analytics platform for the enterprise - empowering anyone within an organization to easily automate and unify their analytics work in minutes, without writing code. Redbird connects to all of an organization’s data sources and accelerates analytics work across data prep, wrangling, analysis, reporting and data science.", "one_liner": "AI-powered Analytics Platform", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1643732203, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/redbird", "api": "https://yc-oss.github.io/api/batches/winter-2022/redbird.json" }, { "id": 25322, "name": "VantedgeAI", "slug": "vantedgeai", "former_names": [ "8vdx", "8vdX", "8vdx", "VentedgeAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/12fd444a2c7a34b121c256f9259458e601b0351a.png", "website": "https://www.vantedgeai.com/", "all_locations": "Norwalk, CT, USA", "long_description": "The goal of Vantedge AI, formerly known as 8vdx, is to provide an Agent Marketplace of curated agents to enable investors to get an investing edge to generate alpha by leveraging AI. Our insight to build this marketplace comes from our experience from running a credit hedge fund for 15 years and as a Y Combinator backed startup, we understand the complexities of AI and are here to offer a complete infrastructure to funds and startups alike.\r\nOur platform is built to serve the investment community with the highest security, compliance, and infrastructure tailored for institutional investors.", "one_liner": "Scaling investing workflows with AI", "team_size": 11, "industry": "Fintech", "subindustry": "Fintech -> Banking and Exchange", "launched_at": 1641821942, "tags": [ "Artificial Intelligence", "Fintech", "SaaS", "Workflow Automation", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "Fintech", "Banking and Exchange" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/vantedgeai", "api": "https://yc-oss.github.io/api/batches/winter-2022/vantedgeai.json" }, { "id": 25353, "name": "Sarus", "slug": "sarus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/eeaf8f8226d85960b7834ae51a48adfa24515b3b.png", "website": "https://www.sarus.tech", "all_locations": "Paris, Île-de-France, France", "long_description": "Sarus solves the problem of accessing or sharing personal data for analytics or machine learning. \r\nThe solution deploys natively in data infrastructures and lets practitioners work on data they cannot see. Every interaction with the sensitive data is protected with the highest privacy standard: differential privacy\r\nSarus makes traditional anonymization methods irrelevant, saving months in compliance and data engineering while preserving all of the value of data.", "one_liner": "Use personal data for analytics and ML, safely and seamlessly", "team_size": 16, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1642494204, "tags": [ "Analytics", "Compliance", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "France", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/sarus", "api": "https://yc-oss.github.io/api/batches/winter-2022/sarus.json" }, { "id": 25448, "name": "HypaHub", "slug": "hypahub", "former_names": [ "HypaHub, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5a364403fcd1dfaabe90af51ec8af68eac5364cf.png", "website": "https://www.hypahub.com", "all_locations": "Sunnyvale, CA, USA", "long_description": "HypaHub is a Cloud-Based Bioinformatics and AI Platform. It is the first HIPAA-compliant Bioinformatics SaaS that runs natively on users' clouds, providing both operation- and price-transparency. \r\n\r\nOur product is a one-stop shop to access complex technologies designed for scientists building data applications or performing data analytics to extract insights. It automates the creation and manages the operation of computing resources, eliminating the need for enterprises to set up and maintain a high-end R&D cloud infrastructure.", "one_liner": "A Cloud-Based Bioinformatics and AI Platform ", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1654727846, "tags": [ "Machine Learning", "Biotech", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/hypahub", "api": "https://yc-oss.github.io/api/batches/winter-2022/hypahub.json" }, { "id": 25542, "name": "Elementary", "slug": "elementary", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/45aadc83c7554b356da35bb6d48a350f575804b2.png", "website": "http://elementary-data.com/", "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel", "long_description": "Elementary enables data teams to detect problems in their data before their users do. An open-source solution that any data engineer can deploy in minutes without sharing sensitive data.", "one_liner": "Open-source data observability for data teams", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1647515701, "tags": [ "Developer Tools", "Analytics", "Open Source", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Israel", "Middle East and North Africa" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/elementary", "api": "https://yc-oss.github.io/api/batches/winter-2022/elementary.json" }, { "id": 25582, "name": "Sophys", "slug": "sophys", "former_names": [ "Sophys Health" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0574835c7214b7ff4d65ebeebdd038916327d623.png", "website": "https://www.sophyshealth.com/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "", "one_liner": "AI Agents for Healthcare Intake", "team_size": 1, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1648141808, "tags": [ "Artificial Intelligence", "Analytics", "Healthcare" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/sophys", "api": "https://yc-oss.github.io/api/batches/winter-2022/sophys.json" }, { "id": 25616, "name": "Stackshine", "slug": "stackshine", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2f75e99dea11ca83cb5f3e5de76cf447b57d842e.png", "website": "https://www.stackshine.com", "all_locations": "Portland, OR, USA; Providence, RI, USA; Remote", "long_description": "Stackshine is creating mission control for enterprise IT teams. We discover all the software being used across their organization and then automate workflows related to onboarding/offboarding, cost savings, and security. ", "one_liner": "Automating all IT operations", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1646144116, "tags": [ "Robotic Process Automation", "Productivity", "Analytics", "Enterprise", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Acquired", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/stackshine", "api": "https://yc-oss.github.io/api/batches/winter-2022/stackshine.json" }, { "id": 25634, "name": "IOMETE", "slug": "iomete", "former_names": [ "iomete" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0597230dc5b69128c0f3bcea1b68ac1fa6181fa.png", "website": "https://www.iomete.com/", "all_locations": "Mountain View, CA, USA; Remote", "long_description": "The IOMETE self-hosted data lakehouse platform unifies all data - regardless of where the data resides - enabling large-scale analytics (BI/ML/AI) on the entire data set. IOMETE runs always in the customer's environment, whether on premises, on public cloud or private cloud thereby maximizing data security, data privacy and data ownership while reducing cost.", "one_liner": "Self-hosted data lakehouse platform", "team_size": 21, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1644374925, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/iomete", "api": "https://yc-oss.github.io/api/batches/winter-2022/iomete.json" }, { "id": 25680, "name": "Cotera", "slug": "cotera", "former_names": [ "Supersheets" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6da86c6270a952e3754642d98f2af8c61324b171.png", "website": "https://cotera.co", "all_locations": "New York, NY, USA", "long_description": "Cotera is an AI agent platform that connects directly to your data warehouse and APIs, enabling businesses to build agents that take actions across their systems. With built-in tools, a visual workflow editor, and fine-grained control, teams can deploy agents at scale for use cases like intelligent ticket routing, voice-of-customer analysis, and proactive customer health monitoring.", "one_liner": "The fastest way to build an AI agent", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1642161735, "tags": [ "Artificial Intelligence", "Analytics", "Marketing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/cotera", "api": "https://yc-oss.github.io/api/batches/winter-2022/cotera.json" }, { "id": 25692, "name": "Livedocs", "slug": "livedocs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ce0c55378b1978172dcaae2ec40f66f80a955ff6.png", "website": "https://livedocs.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Mix Python, SQL, charts, and dynamic text in a fast, shareable, collaborative medium. Build and share data-rich docs and apps your team will love", "one_liner": "A New Kind of Notebook for Data Storytelling", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1645977565, "tags": [ "SaaS", "Productivity", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/livedocs", "api": "https://yc-oss.github.io/api/batches/winter-2022/livedocs.json" }, { "id": 25738, "name": "Hydra", "slug": "hydra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/87c0954c151aa7067e034d8de33b3174d43f5ff0.png", "website": "https://hydra.so", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Hydra is a real-time analytics database management system for Postgres. We seperate compute from storage to offer software engineers serverless analytics with autoscale, write isolation, automatic caching, and more.\r\n\r\nShipping scalable projects on time series and event data has never been easier. Hydra is available for local development, cloud, and bare metal deployment.", "one_liner": "Serverless Analytics on Postgres", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1642199733, "tags": [ "Developer Tools", "Analytics", "Open Source", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Acquired", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/hydra", "api": "https://yc-oss.github.io/api/batches/winter-2022/hydra.json" }, { "id": 25743, "name": "Trackingplan", "slug": "trackingplan", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b1ef39c22b700cf5d44570c7f6569b245f3ee28.png", "website": "https://trackingplan.com", "all_locations": "Barcelona, CT, Spain; CT, Spain; Remote", "long_description": "Trackingplan automatically discovers and monitors all the information your applications and websites are collecting, ensuring that you can trust your BI, analytics, marketing, and sales tools. \r\n\r\nYou can think of us as Segment Protocols but totally transparent, where developers can keep using Google Analytics, Amplitude, Hubspot, Intercom, Braze, etc. as they are used to. \r\n\r\nInstalled in minutes in using your Tag Manager or adding just one line of code to your web or apps, we model all the data being sent to third parties. Since Trackingplan understands what each piece of data means, it identifies patterns, detects anomalies, and automatically connects the dots to create value from data that was hidden in plain sight:\r\n\r\n- An always up-to-date single source of truth and data governance tool. To discover, understand and document your data and improve communication across teams.\r\n- Automated notifications when something breaks or changes. To make sure that integrations are always well implemented: Schema errors, traffic anomalies, rogue events... \r\n- Easy to understand, customizable, cross-service alerts. To detect trends, insights, and problems without using complex, engineer-oriented solutions.", "one_liner": "Automated QA for your Digital Analytics", "team_size": 17, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1641391102, "tags": [ "SaaS", "Analytics", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Spain", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/trackingplan", "api": "https://yc-oss.github.io/api/batches/winter-2022/trackingplan.json" }, { "id": 25866, "name": "Ponyrun", "slug": "ponyrun", "former_names": [ "Asparagus", "Nimbus" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a6aa11f944dc1a5cb37880b3a981988db91d193.png", "website": "http://www.ponyrun.ai", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Ponyrun evaluates people for you. We help you answer questions like: Should you sell to them? Are they a good fit for your product? Should you interview them? \r\n\r\nIts easy to use. Give it a search URL or a list of people. Tell Ponyrun what you want to evaluate the person on. And Ponyrun will go through the person's information (e.g. LinkedIn), and evaluate them.", "one_liner": "Automate prospect research at scale", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1644859951, "tags": [ "Analytics", "Sales", "Operations", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/ponyrun", "api": "https://yc-oss.github.io/api/batches/winter-2022/ponyrun.json" }, { "id": 25870, "name": "Top Road", "slug": "top-road", "former_names": [ "RE-MINT", "re-mint", "Top Road", "GPT Builder Tools by Top Road" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/50c64eee4fb328983954a1afb2acfcbb3e366dc6.png", "website": "https://toproad.ai", "all_locations": "Sydney, NSW, Australia", "long_description": "Top Road provides no-code analytics & payment tools so creators can monetise their AI apps (\"GPTs\") in the OpenAI ecosystem. ", "one_liner": "Payments & analytics for apps in the OpenAI GPT Store", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Payments", "launched_at": 1644389361, "tags": [ "Fintech", "Generative AI", "Payments", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "Fintech", "Payments" ], "regions": [ "Australia", "Oceania", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/top-road", "api": "https://yc-oss.github.io/api/batches/winter-2022/top-road.json" }, { "id": 25975, "name": "Ploomber", "slug": "ploomber", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b5abaea13a47b9e7cb04c8d183b6a2056824f626.png", "website": "https://ploomber.io/", "all_locations": "New York, NY, USA; Remote", "long_description": "We are building a cloud platform to help companies deploy and scale AI applications.", "one_liner": "Heroku for AI", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1643229196, "tags": [ "Developer Tools", "Machine Learning", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/ploomber", "api": "https://yc-oss.github.io/api/batches/winter-2022/ploomber.json" }, { "id": 26564, "name": "Banabo", "slug": "banabo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee52d2153d301e6600298886dbb3fb58bf58c419.png", "website": "https://www.banabo.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Banabo is the first Marketing Attribution OS with the mission of getting a company’s marketing waste to zero. We help companies achieve this goal by mapping a website visitor’s entire journey through a sale, and showcasing the true impact of each touchpoint. \r\n\r\nAccurate attribution previously wasn’t possible due to GDPR in the EU, CCPA in California, and the iOS 14 Privacy Changes. And with Google banning tracking cookies in 2023, we’ve built the first fully cookieless marketing attribution solution, using zero personal data. ", "one_liner": "ML Marketing Infrastructure", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1656624588, "tags": [ "SaaS", "B2B", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/banabo", "api": "https://yc-oss.github.io/api/batches/summer-2022/banabo.json" }, { "id": 26663, "name": "Denormalized", "slug": "denormalized", "former_names": [ "Probably Nothing Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b63e1460304048d366b7e3939ef213373a7766f2.png", "website": "https://www.denormalized.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Denormalized is a serverless real-time data platform that allows users to query data quickly while eliminating the need to manage complex infrastructure. It enhances developer productivity by automating schema inference from sample data and simplifying data stream creation allowing engineers to go from idea to production fast. Denormalized supports SQL for data transformations without needing complex stream processing systems like Flink.", "one_liner": "serverless platform for real-time data", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1658936956, "tags": [ "Analytics", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Inactive", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/denormalized", "api": "https://yc-oss.github.io/api/batches/summer-2022/denormalized.json" }, { "id": 26719, "name": "Alterya", "slug": "alterya", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f7e22aa96dc1d6baabade2bc3dad88a3cdc9bb8.png", "website": "https://www.alterya.dev/", "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel", "long_description": "Alterya helps financial institutions, fintechs, and crypto service providers prevent APP fraud by detecting scams targeting their users and exploiting their platform.", "one_liner": "Protecting Humans from Scams", "team_size": 30, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1654343424, "tags": [ "Fintech", "SaaS", "Crypto / Web3", "Analytics", "API" ], "tags_highlighted": [ "Crypto / Web3" ], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Acquired", "industries": [ "Fintech" ], "regions": [ "Israel", "Middle East and North Africa", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/alterya", "api": "https://yc-oss.github.io/api/batches/summer-2022/alterya.json" }, { "id": 26726, "name": "ilumadata", "slug": "ilumadata", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/66d4cb68e2a9b002d6e82fe002cef40a30254971.png", "website": "https://www.ilumadata.io/", "all_locations": "London, England, United Kingdom; Sydney, NSW, Australia; Remote", "long_description": "We’re retool for data pipelines. We allow less-technical people to edit data pipelines, with easy to use tools.", "one_liner": "Confidently ship analytics code faster with fewer errors", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1657474709, "tags": [ "Developer Tools", "B2B", "Analytics", "Enterprise", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Inactive", "industries": [ "B2B", "Analytics" ], "regions": [ "United Kingdom", "Australia", "Europe", "Oceania", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/ilumadata", "api": "https://yc-oss.github.io/api/batches/summer-2022/ilumadata.json" }, { "id": 26780, "name": "Stellar", "slug": "stellar", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d8637fd38a327a3ebbaa10c637c194c7c1aec16b.png", "website": "http://www.stellarapp.io", "all_locations": "San Francisco, CA, USA", "long_description": "A fool-proof goals platform using GPT to help teams write and track SMART goals at every level. Automates manual, redundant tasks that take time away from team’s high-impact contributions.\r\n", "one_liner": "AI-powered business goals", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1662916743, "tags": [ "SaaS", "B2B", "Productivity", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Inactive", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/stellar", "api": "https://yc-oss.github.io/api/batches/summer-2022/stellar.json" }, { "id": 26907, "name": "Rima AI (formerly Garage)", "slug": "rima-ai", "former_names": [ "Garage Mobility Inc.", "Garage Mobility", "Garage" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/29768f3ec06f6ad6cbf8c250cca3501743daf869.png", "website": "https://www.getrima.ai", "all_locations": "Austin, TX, USA; Remote", "long_description": "Rima helps accountants automate document and spreadsheet work with accuracy and cell-level audit tracking.\r\n\r\nFor accountants that deal with messy docs and spend their time in Excel, Rima enables them to build workflows in natural language to extract and process financial data from PDFs or ERPs into their Excel templates and reconcile their spreadsheets in minutes. Accountants build these workflows once and our agents do the work for them going forward, preserving their institutional memory and know-how.", "one_liner": "Document and spreadsheet automation for accountants", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1657049263, "tags": [ "Artificial Intelligence", "Finance", "B2B", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/rima-ai", "api": "https://yc-oss.github.io/api/batches/summer-2022/rima-ai.json" }, { "id": 27040, "name": "Grai", "slug": "grai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/217dbf57c9649c7822bbee101a62b2d34a750a85.png", "website": "https://www.grai.io", "all_locations": "San Francisco, CA, USA; London, England, United Kingdom; St. Louis, MO, USA", "long_description": "Grai is open source version control for metadata. We can determine how database changes will affect deployed machine learning models, apis, and dashboards because we understand how data relates across systems which don’t otherwise talk to each other.", "one_liner": "Open source version control for metadata", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1660014966, "tags": [ "Developer Tools", "SaaS", "Analytics", "Open Source", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Inactive", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "United Kingdom", "America / Canada", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/grai", "api": "https://yc-oss.github.io/api/batches/summer-2022/grai.json" }, { "id": 27108, "name": "Sanifu", "slug": "sanifu", "former_names": [ "Patika Technology Limited", "Patika" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dc10943e14517d77a119ecad164eb2d76d6db52b.png", "website": "https://sanifu.ai", "all_locations": "Nairobi, Nairobi County, Kenya; Remote", "long_description": "Sanifu automates the repetitive work spreadsheets are used for. Teams across finance, marketing, operations, and revenue simply describe their repetitive work like cleaning and validating data, matching records, preparing reports and moving data from emails, PDFs and Excel exports into dashboards and other systems. Sanifu captures the steps, rules and outputs so the work is repeated reliably every time\r\n\r\nSome of these work never needed spreadsheets to begin with; the likes of data cleanup, bank reconciliations, report consolidation, payment allocations, channel attributions. Spreadsheets have become the standard workbench for handling these tasks and in the process, teams lose valuable time doing manual data entry, filling templates, formatting data, applying formulas, deleting rows or columns.\r\n\r\nSanifu is replacing the spreadsheet while maintaining the logic and processes behind the work, getting you from inputs to your desired outputs in seconds. This significantly reduces time spent on copy-paste work, spreadsheet cleanup, and manual entries and checking, while improving accuracy, consistency, and operational visibility. Sanifu helps teams scale critical back-office processes without relying on brittle spreadsheets, scripts, or general AI tools that reinvent the logic every run.\r\n\r\nSanifu is a full operational platform with 5k+ app integrations, 1k+ native functions, forms, scheduler, data stores, dashboards, approvals, reviews, AI-powered entity matching among many other features that make it an end-to-end data app management platform", "one_liner": "Automate the repetitive work spreadsheets are used for", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1655225496, "tags": [ "SaaS", "B2B", "Analytics", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "Kenya", "Africa", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/sanifu", "api": "https://yc-oss.github.io/api/batches/summer-2022/sanifu.json" }, { "id": 27160, "name": "Drahim 💰", "slug": "drahim", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/96103cd7aac43855d9ebc13e579a9aacb9a1126b.png", "website": "https://drahim.sa", "all_locations": "Riyadh, Riyadh Province, Saudi Arabia", "long_description": "\"Drahim\" is a slang for money in Arabic (from the ancient Greek Drachma).\r\n\r\nThe app integrates with banks and provides individuals meaningful spending insights and generates auto savings and investment advice.\r\n\r\nFor the meaningful insights, the app integrates with banks and automatically categorizes all of your transactions (All of your accounts in one place) and spots spending patterns and behaviors.\r\n\r\nDrahim then suggests a saving and investing plan that allows the user to continue living comfortably and to keep spending guilt-free.\r\n\r\nOur focus is not necessarily to save you money, rather we grow your money discreetly. Drahim allows you to continue spending but feeling way better doing it.", "one_liner": "WealthFront for Saudi & Middle East", "team_size": 8, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1653766161, "tags": [ "Fintech", "Analytics", "Investing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Fintech" ], "regions": [ "Saudi Arabia", "Middle East and North Africa", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/drahim", "api": "https://yc-oss.github.io/api/batches/summer-2022/drahim.json" }, { "id": 27177, "name": "MovingLake", "slug": "movinglake", "former_names": [ "Moving Lake" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ca7dff480b4b49f376fc3b90d1adc3c17872277f.png", "website": "https://movinglake.com", "all_locations": "Mexico City, CDMX, Mexico; Remote", "long_description": "MovingLake is Fivetran for event-driven architectures. Companies such as Casai use our product to obtain orders and price changes in real time.", "one_liner": "Realtime Data Connectors", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1657821965, "tags": [ "SaaS", "B2B", "Analytics", "API", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Mexico", "Latin America", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/movinglake", "api": "https://yc-oss.github.io/api/batches/summer-2022/movinglake.json" }, { "id": 27195, "name": "Vizzly", "slug": "vizzly", "former_names": [ "Vizzly Technology Ltd" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/22e8f105fb29e8957dec4db2a7b28a0c24a20539.png", "website": "https://vizzly.co/", "all_locations": "London, England, United Kingdom; Remote", "long_description": "Vizzly provides customer-facing analytics for modern SaaS.\r\n\r\nThe platform offers the same level of flexibility as an in-house development process with minimal technical overhead required. ", "one_liner": "Customer-Facing Analytics for Modern SaaS.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1659723878, "tags": [ "Developer Tools", "SaaS", "B2B", "Analytics", "API" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "United Kingdom", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/vizzly", "api": "https://yc-oss.github.io/api/batches/summer-2022/vizzly.json" }, { "id": 27676, "name": "Cardinal", "slug": "cardinal", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b5d014c36052bdd4a69088606fa34d3acd89ab7a.png", "website": "http://cardinalapp.io", "all_locations": "Austin, TX, USA; San Francisco, CA, USA; Remote", "long_description": "Cardinal is an opinionated feature backlog. It pulls in your customer feedback, CRM data, and task management issues and uses AI to assess which customers want which features, how important is it for them, and how much are they worth", "one_liner": "Your AI product backlog", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1677706257, "tags": [ "Generative AI", "SaaS", "B2B", "Productivity", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/cardinal", "api": "https://yc-oss.github.io/api/batches/winter-2023/cardinal.json" }, { "id": 27677, "name": "Matano", "slug": "matano", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a222c90e6dc5a485e0f58e7075243197316b5126.png", "website": "https://www.matano.dev", "all_locations": "Seattle, WA, USA; San Francisco, CA, USA", "long_description": "Matano is a modern SIEM, built for cloud-first security teams. \r\n\r\nIt replaces traditional SIEM databases like Splunk or Elastic with a cybersecurity platform built on top of a cost-effective Security Data Lake.", "one_liner": "Cloud Native SIEM (alternative to Splunk/Elastic)", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1673220532, "tags": [ "DevSecOps", "Analytics", "Open Source", "Cybersecurity" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/matano", "api": "https://yc-oss.github.io/api/batches/winter-2023/matano.json" }, { "id": 27692, "name": "Rollstack", "slug": "rollstack-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/65e417fdebdce3308c883861f6f1ce40282921ab.png", "website": "https://www.rollstack.com", "all_locations": "New York, NY, USA; Remote", "long_description": "At Rollstack, we are revolutionizing the way businesses share and communicate data and insights. Organizations worldwide rely on slide decks and documents to make informed decisions, whether for leadership, clients, or partners. Yet, preparing these materials often consumes countless hours. Rollstack fully automates that.\r\n\r\nWe help some of the world's leading organizations—from mid-sized to public companies like SoFi, Zillow and Whirlpool—in automating their slide decks and documents. Headquartered in New York, we offer a remote-friendly workplace and are backed by Insight Partners and Y Combinator, the most successful startup incubator in the world that produced the likes of Airbnb, Twitch, Instacart, Dropbox, Reddit, Doordash, Stripe, Coinbase, etc.\r\n\r\nOur team operates with speed and focus to deliver outsized impacts for our customers. We approach every challenge with first principles, never assuming things have to be done a certain way. We are a diverse team that believes intelligence and kindness go hand in hand, welcoming individuals from all backgrounds. Our persistence and rapid execution define us as a category leader and a future generational company.", "one_liner": "Automate data-driven slide decks and documents with AI", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1664774205, "tags": [ "Artificial Intelligence", "Productivity", "Analytics", "Data Visualization" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/rollstack-2", "api": "https://yc-oss.github.io/api/batches/winter-2023/rollstack-2.json" }, { "id": 27712, "name": "Brewit", "slug": "brewit", "former_names": [ "Chataverse", "Members.Land" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b28deb84212c3ba86685834131a7f0142304f1d.png", "website": "https://brewit.ai/", "all_locations": "Palo Alto, CA, USA", "long_description": "Brewit helps companies to create their role-specific BI agents, trained on their database (through feeding sample queries, metric definitions, column descriptions, etc. to create a semantic layer) that can answer data questions/provide data insights (write SQL, generate plots) through a natural language experience.", "one_liner": "Conversational data analytics for every team", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1674519292, "tags": [ "Analytics", "Data Visualization", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/brewit", "api": "https://yc-oss.github.io/api/batches/winter-2023/brewit.json" }, { "id": 27825, "name": "CreatorML", "slug": "creatorml", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6b90e2d2f63ae83d85e896853794c55a507ba363.png", "website": "https://creatorml.com/", "all_locations": "New York, NY, USA", "long_description": "CreatorML builds predictive AI for video virality to help businesses scale their social media strategy. ", "one_liner": "Foundation Model for Human Attention", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1675377088, "tags": [ "B2B", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Inactive", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/creatorml", "api": "https://yc-oss.github.io/api/batches/winter-2023/creatorml.json" }, { "id": 27846, "name": "PoloTab", "slug": "polotab", "former_names": [ "PoloPay", "Polo", "PoloPay", "Polo" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/125206d3d51ae1a0a9e8a0446836031dcecb557a.png", "website": "https://polotab.com", "all_locations": "Mexico City, CDMX, Mexico", "long_description": "The ecosystem coffee shops and restaurants in Mexico run on.\r\n\r\nFrom point of sale, to inventory management, payments and much more for the most demanding. \r\n\r\nOur tech is as user-friendly as an iPhone, yet powerful enough to power Starbucks. \r\n\r\nPoloTab is led by a team driven by the vision that things should be different, with the skills to make it happen. We were born from the food & beverage industry and are here to make a difference, not merely be part of the crowd.", "one_liner": "Restaurant software that actually works", "team_size": 18, "industry": "B2B", "subindustry": "B2B", "launched_at": 1673740327, "tags": [ "SaaS", "Payments", "B2B", "Analytics", "Food Tech" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "Mexico", "Latin America" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/polotab", "api": "https://yc-oss.github.io/api/batches/winter-2023/polotab.json" }, { "id": 27868, "name": "Outerbase", "slug": "outerbase", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e7ffc83c79c7fc5268f3ebcb40e602151effc32b.png", "website": "https://www.outerbase.com", "all_locations": "Pittsburgh, PA, USA; San Francisco, CA, USA; Remote", "long_description": "Outerbase is the interface for your database. Companies use Outerbase to view, edit, and modify their data and even generate beautiful visual dashboards without having to write a single line of SQL.", "one_liner": "The interface for your database", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1673832882, "tags": [ "Developer Tools", "Generative AI", "Analytics", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/outerbase", "api": "https://yc-oss.github.io/api/batches/winter-2023/outerbase.json" }, { "id": 27870, "name": "Langfuse", "slug": "langfuse", "former_names": [ "Finto", "langfuse" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d3e0acd0e4d5b3b53104245ec4f7548555f11896.png", "website": "https://langfuse.com", "all_locations": "Berlin, Berlin, Germany", "long_description": "Traces, evals, prompt management and metrics to debug and improve your LLM application.\r\nOnboard via https://langfuse.com\r\n\r\nLangfuse helps you build and improve LLM applications across the entire lifecycle: \r\n- Develop: Observability, Langfuse UI & Prompt Management\r\n- Monitor: Traces, Analytics, Metrics & Evaluations\r\n- Test: Experiments, Releases & Datasets\r\n\r\nWe are hiring: https://langfuse.com/careers\r\n\r\nLangfuse was acquired by Clickhouse in January of 2026.", "one_liner": "Open source LLM engineering platform", "team_size": 19, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1673911015, "tags": [ "Developer Tools", "Generative AI", "Analytics", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Germany", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/langfuse", "api": "https://yc-oss.github.io/api/batches/winter-2023/langfuse.json" }, { "id": 27919, "name": "Helicone", "slug": "helicone", "former_names": [ "Prompt Zero", "TableTalk", "Valyr" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0fd0f837e64cef0930fd804e4345c0342b9a2827.png", "website": "https://www.helicone.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Helicone.ai is creating an advanced observability platform tailored for developers working with Large Language Models (LLMs). Our goal is to simplify and enhance the operational side of deploying these models, making it easier for developers to monitor, manage, and optimize their AI applications at scale. Helicone provides a unified view of performance, cost, and user interaction metrics for various LLM providers, like OpenAI, Anthropic, and LangChain, empowering developers to make their LLM deployments more efficient, reliable, and cost-effective.\r\n\r\n### Key Features\r\n\r\n1. **Centralized Observability**: Our platform captures and visualizes detailed logs and metrics across all LLM deployments. With tools for prompt management, performance tracing, and debugging, Helicone provides real-time insights into the inner workings of your LLMs.\r\n\r\n2. **LLM Performance Optimization**: Helicone supports prompt experimentation, success rate tracking, and fine-tuning, allowing you to continuously improve response quality and efficiency. This level of insight makes it easier to deliver high-performing, cost-effective AI applications.\r\n\r\n3. **Flexible Data Management**: We understand that data privacy is critical. Helicone supports deployment options for dedicated instances, hybrid cloud integrations, or self-hosted environments, allowing clients to maintain control over their data and ensuring compliance with privacy standards.\r\n\r\n### Built for Developers and Data Scientists\r\n\r\nHelicone is designed to meet the needs of engineers and data scientists who require transparency and control over their LLMs. From chatbots to document processing systems, Helicone equips you with the insights needed to track costs, understand user interactions, and optimize outputs—all from one intuitive platform.\r\n\r\nBy combining observability with LLM-specific insights, Helicone is redefining AI monitoring, empowering developers to deploy and scale their AI models with confidence.", "one_liner": "LLM Observability for Developers", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1675832219, "tags": [ "AIOps", "Developer Tools", "Analytics", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/helicone", "api": "https://yc-oss.github.io/api/batches/winter-2023/helicone.json" }, { "id": 27939, "name": "FactIQ", "slug": "factiq", "former_names": [ "Data Narratives", "Defog.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d04b6da87ca00762c86e5351c8876d9837f0e18.png", "website": "https://factiq.com/", "all_locations": "Singapore, Singapore", "long_description": "FactIQ helps economic analysts find and visualize the right data, across 7.4M+ official time series. \r\n\r\nIt interprets users' questions, identifies the most relevant datasets, analyzes them and reports back with interactive charts and tables. Every answer is fully transparent: users can inspect the underlying sources and methods, so they can verify and trust every insight.", "one_liner": "Data Explorer for the US Economy", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1672890387, "tags": [ "Analytics", "Data Visualization", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Singapore", "Southeast Asia", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/factiq", "api": "https://yc-oss.github.io/api/batches/winter-2023/factiq.json" }, { "id": 27950, "name": "Sherloq", "slug": "sherloq", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/303c40c74b1c65d00ba6f772b138135819922051.png", "website": "http://sherloqdata.io/", "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel", "long_description": "Companies use Sherloq as their single source of truth for their SQL on top of their existing data stack.\r\n\r\nToday, data-driven organizations face the challenge of giving 2 of their data analysts the same task and getting 2 totally different results from their analysis. Although SQL is the #1 coding language for data analysis, it is still managed independently on each user's internal documentation tools (notepads, Slack channels, or docx files).\r\nCreating one source of truth is an ongoing difficult process, that’s done manually and takes time to implement. \r\n\r\nUsing our plugin on top of our user's existing query editors, companies can now manage their SQL code in one place.\r\nWe ourselves are data users and we've built Sherloq to fit the exact needs of data teams, becoming a true alternative to the way SQL is being managed today.", "one_liner": "One place for all your queries, directly on your SQL editor", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1674678598, "tags": [ "Generative AI", "SaaS", "B2B", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Israel", "Middle East and North Africa" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/sherloq", "api": "https://yc-oss.github.io/api/batches/winter-2023/sherloq.json" }, { "id": 27951, "name": "Honeydew", "slug": "honeydew", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/628b819928f75f1e921c92594fbcd9a7e63a91b4.png", "website": "https://honeydew.ai", "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel", "long_description": "The way people use data is constantly changing. Data teams must support every new context without breaking the shared truth. Honeydew’s semantic layer does it automatically. We validate each change and update every data flow.\r\n\r\nUsing Honeydew, data teams can support 10x more data users - without more engineers or compromising integrity. ", "one_liner": "The home for shared data logic", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1670747027, "tags": [ "SaaS", "B2B", "Analytics", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Israel", "Middle East and North Africa", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/honeydew", "api": "https://yc-oss.github.io/api/batches/winter-2023/honeydew.json" }, { "id": 28077, "name": "Corgi Labs", "slug": "corgi-labs", "former_names": [ "CorgiAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/48ab8ae360dddc3659ad06077db5d3349b75b91f.png", "website": "https://www.corgilabs.ai", "all_locations": "San Francisco, CA, USA", "long_description": "End-to-end suite of fraud detection and prevention solutions, including an analytics product to monitor and understand dispute + fraud metrics, an AI product which highlights transactions for merchants to follow up on, and an AI solution to recommend rules that can be implemented in payment provider platforms (Stripe, Shopify, Adyen) to proactively reduce dispute + fraud rates.", "one_liner": "AI to increase payment acceptance and reduce fraud for businesses", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Payments", "launched_at": 1677769779, "tags": [ "Artificial Intelligence", "Payments", "Analytics", "E-commerce", "Fraud Detection" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Fintech", "Payments" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": true, "question_answers": false, "url": "https://www.ycombinator.com/companies/corgi-labs", "api": "https://yc-oss.github.io/api/batches/winter-2023/corgi-labs.json" }, { "id": 28080, "name": "Tagsafe", "slug": "tagsafe", "former_names": [ "Tagsafe", "Swishjam" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d607b93f3da26fde36fd956fe7b3fb67f045e121.png", "website": "http://www.tagsafe.io", "all_locations": "Los Angeles, CA, USA; Remote", "long_description": "", "one_liner": "", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1678306868, "tags": [ "SaaS", "B2B", "Analytics", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/tagsafe", "api": "https://yc-oss.github.io/api/batches/winter-2023/tagsafe.json" }, { "id": 28091, "name": "Hindsight", "slug": "hindsight", "former_names": [ "NodeFlow", "Baseplate", "DealPage" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7937cfc67cd819742d4ef88a0139c7be4122cc00.png", "website": "https://www.usehindsight.com/", "all_locations": "New York, NY, USA", "long_description": "Hindsight's AI helps teams understand why they win or lose deals - and use that insight to win more.\r\n\r\nOur platform is used by teams like Ironclad, LaunchDarkly, and Klaviyo to build workflows on top of their GTM data.\r\n\r\n1. Build battlecards, objection handling guides, and case studies that never go out of date\r\n2. Create AI roleplays based on real conversations your sales team is having\r\n3. Analyze 1000s of deals to create reports and alerts for your GTM, product, and strategy teams.", "one_liner": "Deal Intelligence and Sales Coaching Platform", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1673288585, "tags": [ "B2B", "Analytics", "Sales", "Sales Enablement", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/hindsight", "api": "https://yc-oss.github.io/api/batches/winter-2023/hindsight.json" }, { "id": 28221, "name": "Serial", "slug": "serial", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a8354b5bea40df992c6f00ba3131da07c65e1300.png", "website": "https://www.serial.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Serial is software to help manufacturers root cause problems in minutes not days and avoid millions in liabilities. Our solution integrates with data sources from any production line, enabling engineering & operations teams to ask questions about their manufacturing data and instantly get answers. Serial will become the single source of truth for manufacturing data.\r\n\r\nOur founding team has 10+ years of manufacturing and product design experience from Apple, Tesla, and more. We have suffered this problem firsthand and are building the tool to fix it.", "one_liner": "Root cause manufacturing issues in seconds", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1677010841, "tags": [ "SaaS", "Analytics", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/serial", "api": "https://yc-oss.github.io/api/batches/winter-2023/serial.json" }, { "id": 28589, "name": "HockeyStack", "slug": "hockeystack", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90725285723955c6a718c11c6de42fac109093c5.png", "website": "https://hockeystack.com", "all_locations": "San Francisco, CA, USA", "long_description": "HockeyStack improves sales outcomes for B2B companies by helping them record and understand every interaction their customers have with their marketing, sales reps, CSMs, and products. \r\n\r\nWe map every customer touchpoint from ad impression to closed won and to upsell using our own tracking script and native integrations to the B2B GTM tech stack. \r\n\r\nBuilding this source of truth allow us to give companies previously hidden insights that generate incremental revenue, such as:\r\n\r\n- Deploy marketing budget: \"Launch this ad campaign to this audience to generate $XM in pipeline\"\r\n- Target the right accounts with the right messaging: \"These accounts have the highest likelihood to convert, put them on this email sequence\"\r\n- Convert more of the pipeline: “Pied Piper hasn't visited the site for 8 days; give Jim a phone call”\r\n", "one_liner": "The operating system for inbound B2B revenue", "team_size": 65, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1680648195, "tags": [ "SaaS", "B2B", "Analytics", "Sales", "Marketing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/hockeystack", "api": "https://yc-oss.github.io/api/batches/summer-2023/hockeystack.json" }, { "id": 28808, "name": "PropRise", "slug": "proprise", "former_names": [ "River AI", "River", "Introscopic", "River AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/099267e4ee22818f2d0af078193f368735107d1e.png", "website": "https://www.proprise.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "PropRise is the AI platform for institutional CRE investment teams. We automate the tedious, Excel-heavy workflows that slow down dealmaking: from sourcing to underwriting to due diligence. Our two live products serve 50+ customers including Public Storage: Beacon automates site selection for developers, and Primer extracts financial data from deal packages into structured, model-ready formats, cutting hours of analyst work to minutes. We're expanding across asset classes to become the operating system for CRE dealmaking.", "one_liner": "The AI platform for CRE investment teams", "team_size": 3, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction", "launched_at": 1690588132, "tags": [ "Machine Learning", "SaaS", "Real Estate", "B2B", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Real Estate and Construction" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/proprise", "api": "https://yc-oss.github.io/api/batches/summer-2023/proprise.json" }, { "id": 28815, "name": "Atla", "slug": "atla", "former_names": [ "Atla", "atla", "Atla", "atla" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7e8e61ea6d3f763043392069ac87464fc6db2af.png", "website": "https://www.atla-ai.com/", "all_locations": "London, England, United Kingdom", "long_description": "Find and fix your agent’s most critical failures in hours, not days.\r\n\r\nAtla helps developers cut time spent on manually reviewing traces. Atla’s LLM judge evaluates your agent step-by-step, uncovers error patterns across runs, and suggests specific fixes—so you know exactly what to fix and why.\r\n\r\nAtla supports the most popular agent frameworks teams build with, including LangChain, CrewAI, and OpenAI Agents. With real-time monitoring, automated error detection, and prompt experimentation, Atla gives teams the visibility and control needed to confidently ship agentic systems that work. \r\n\r\nWe’re a team of researchers, engineers, entrepreneurs and operational leaders. Our expertise in evals was honed through training our own purpose-built LLM Judges, Selene and Selene Mini, which are available open-source and have been downloaded 60,000+ times.", "one_liner": "The improvement engine for AI agents", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1687465633, "tags": [ "AIOps", "Artificial Intelligence", "Developer Tools", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/atla", "api": "https://yc-oss.github.io/api/batches/summer-2023/atla.json" }, { "id": 28829, "name": "DataShare", "slug": "datashare", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a781f87fe1bbe72d69bfd79f2391a43f15cb2f9b.png", "website": "http://datashare.co/", "all_locations": "Austin, TX, USA; Remote", "long_description": "DataShare is a data-as-a-service platform that lets you embed charts, dashboards and exports directly into your product. For example, if you run an accounting startup, DataShare would enable you to embed a full profit and loss dashboard, with downloadable statements. DataShare is backed by an enterprise-grade data warehouse, and can be implemented in fewer than 20 lines of code. \r\n", "one_liner": "Embed charts, dashboards and exports in your app", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1693343113, "tags": [ "Analytics", "Data Engineering", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/datashare", "api": "https://yc-oss.github.io/api/batches/summer-2023/datashare.json" }, { "id": 28983, "name": "Converge", "slug": "converge", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ddaa5bebf2aae550b90599e16a46dc1f877c755.png", "website": "http://www.runconverge.com", "all_locations": "New York, NY, USA", "long_description": "We're building the unified marketing measurement stack for online stores. We make it easy for marketeers to understand where their customers come from, cut unprofitable channels, and scale when things are working.\r\n\r\nWe are vertically integrating the modern data stack for marketing teams of online stores by consolidating customer data collection, consent management, identity resolution, transformations, attribution, data forwarding, and analytics into a single platform.", "one_liner": "All-in-one marketing measurement for B2C", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1687127368, "tags": [ "SaaS", "Analytics", "E-commerce", "Marketing", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/converge", "api": "https://yc-oss.github.io/api/batches/summer-2023/converge.json" }, { "id": 29006, "name": "Inari", "slug": "inari", "former_names": [ "Backpocket" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6146717f3a538ddcc342da7a54a025ac6b894c0d.png", "website": "https://useinari.com", "all_locations": "San Francisco, CA, USA", "long_description": "Inari automatically surfaces actionable insights and product opportunities from your customer feedback, CRM, and backlog. \r\n\r\nInstead of sifting through 1000’s of sales calls, support tickets, and customer feedbacks manually, Inari automates the process of extracting useful quotes, surfacing customer insights and product opportunities, then linking insights and issues with your CRM and backlog so your team can spend less time analyzing and more time building products that customers love.", "one_liner": "Your junior AI product manager", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1691035994, "tags": [ "Artificial Intelligence", "Generative AI", "B2B", "Analytics", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/inari", "api": "https://yc-oss.github.io/api/batches/summer-2023/inari.json" }, { "id": 29087, "name": "ParadeDB", "slug": "paradedb", "former_names": [ "Retake" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6668d68dbb65664dcc7f40eff60e4ee586f09132.png", "website": "https://paradedb.com", "all_locations": "San Francisco, CA, USA", "long_description": "You want better search, not the burden of Elasticsearch. ParadeDB is the modern Elastic alternative built as a Postgres extension.", "one_liner": "Simple, Elastic-quality search for Postgres", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1689280457, "tags": [ "Developer Tools", "Analytics", "Open Source", "Infrastructure", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": true, "url": "https://www.ycombinator.com/companies/paradedb", "api": "https://yc-oss.github.io/api/batches/summer-2023/paradedb.json" }, { "id": 29103, "name": "Inconvo", "slug": "inconvo", "former_names": [ "ten.dev", "Ten" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/42126d50fed615bc74167d22b4985b25e9d25fad.png", "website": "https://inconvo.com", "all_locations": "Limerick, County Limerick, Ireland", "long_description": "Inconvo is the open-source platform for building data agents on production data. With safe queries, permissions, and structured outputs.\r\n\r\nUse Inconvo to build and deploy data agents that query production databases and can be called directly from your application. You get safe query execution, permissions, stateful conversations, and observability out of the box.", "one_liner": "Build chat-with-data agents for customer-facing applications", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1690946743, "tags": [ "Artificial Intelligence", "Developer Tools", "Analytics", "API" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Ireland", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/inconvo", "api": "https://yc-oss.github.io/api/batches/summer-2023/inconvo.json" }, { "id": 29154, "name": "Catamaran", "slug": "catamaran", "former_names": [ "Ultravity", "CatX" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0af944f6ad96c6f8c2095e8c485de560a528833.png", "website": "https://www.trycatamaran.com", "all_locations": "London, England, United Kingdom", "long_description": "Catamaran uses AI to help people make clearer, faster decisions about risk. Our platform brings all internal and external risk data into one easy-to-understand workspace. By automating data gathering, checking, and scenario testing, we help insurers, reinsurers, brokers, and investors quickly understand and manage their risks. Catamaran also provides a regulated marketplace to easily buy, sell, and manage insurance coverage.", "one_liner": "The AI-powered risk decision platform ", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1687023200, "tags": [ "Machine Learning", "Finance", "Analytics", "Insurance", "Investing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "Fintech", "Insurance" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/catamaran", "api": "https://yc-oss.github.io/api/batches/summer-2023/catamaran.json" }, { "id": 29157, "name": "Orbio Earth", "slug": "orbio-earth", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c8b46bfc8422d4590d819ae4695c62834845a549.png", "website": "https://www.orbio.earth/", "all_locations": "Remote", "long_description": "Orbio uses satellite imagery to track methane emissions from the oil & gas industry. We sell the data to financial companies that want to invest into the best performing energy companies.\r\n\r\nUntil today, oil & gas companies use excel-based emission factors to calculate and report their emissions. As these excel-based emission factors underestimate actual emissions by ~70%, the finance companies that invest into oil & gas can’t mitigate against incoming risks from new regulations, \r\n\r\nWe have built a technology that can for the first time use satellite images to track methane from every single oil & gas facility on the planet, replacing emission factors and allowing finance companies to make the best bets on oil & gas companies that will withstand a wide avalanche of incoming regulation. In the summer 2023 our satellite-based technology got ranked #1 both in terms of accuracy and sensitivity of methane emission events by Stanford University in a peer-reviewed study, beating a range of multi-bn dollar competitors like Maxar.\r\n\r\nLearn more at https://orbio.earth", "one_liner": "Tracking methane emissions with satellites", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1687128394, "tags": [ "Artificial Intelligence", "Satellites", "Analytics", "Climate", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/orbio-earth", "api": "https://yc-oss.github.io/api/batches/summer-2023/orbio-earth.json" }, { "id": 29182, "name": "Upsolve AI", "slug": "upsolve-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/584af51898d885eead8c1806789fece6d7acaff0.png", "website": "https://upsolve.ai/", "all_locations": "", "long_description": "Upsolve AI is the analytics platform for deploying governed, grounded, and trustworthy data agents that know your business. Data teams use Upsolve's Agent Studio to get to AI-ready data foundations fast, unify and curate their context layer, and test, tune and monitor their Upsolve Data Agent to their benchmark. The company is founded by Ka Ling Wu and Serguei Balanovich, who built a similar product at Palantir before (featured in Palantir's S-1), growing it to 50+ enterprise customers and 8-figures of annual revenue in 2 years.", "one_liner": "Deploy trustworthy data agent that know your business", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1699320905, "tags": [ "Developer Tools", "B2B", "Analytics", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/upsolve-ai", "api": "https://yc-oss.github.io/api/batches/winter-2024/upsolve-ai.json" }, { "id": 29260, "name": "Quary", "slug": "quary", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e54d14cc55231dd1bd8f1cfd85b8f8366f88fae7.png", "website": "https://www.quary.dev", "all_locations": "London, England, United Kingdom", "long_description": "Quary is the first analytics engineering platform that brings the entire model-test-deploy workflow into the browser. \r\n\r\nAt our first customer, a fast-growing fintech company, Quary empowers analysts in the growth team to self-serve, contribute, and reduce reliance on the data engineering team, letting teams ship metrics faster & executives get answers sooner", "one_liner": "The first in-browser analytics engineering platform", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1707148568, "tags": [ "Artificial Intelligence", "Analytics", "Data Science", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Inactive", "industries": [ "B2B", "Analytics" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/quary", "api": "https://yc-oss.github.io/api/batches/winter-2024/quary.json" }, { "id": 29336, "name": "Scout", "slug": "cpgscout", "former_names": [ "Intercept" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6e1fb4c3c8bc8b16eb297caddcd91dddb7ba0a96.png", "website": "https://cpgscout.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Scout is an AI insights tool for consumer products companies to increase topline revenue. It ingests data from retailer portals and syndicated sources (such as SPINS, NielsenIQ), and tell sales teams exactly where they can grow. Brands use Scout to figure out which accounts to expand, which SKUs to prioritize, and which promotions drove incremental sales.", "one_liner": "AI insights for consumer products", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Retail", "launched_at": 1709256802, "tags": [ "Analytics", "Sales Enablement", "Food & Beverage" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Retail" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/cpgscout", "api": "https://yc-oss.github.io/api/batches/winter-2024/cpgscout.json" }, { "id": 29345, "name": "PandasAI", "slug": "pandasai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6eea04f473e3424dc0c2177031cb6829296ee867.png", "website": "https://pandas-ai.com", "all_locations": "Munich, BY, Germany", "long_description": "PandasAI is an open-source library for conversational data analysis. Enterprises can connect their dataframes, databases or datalakes and do data analysis in plain english.\r\n\r\nFor example, PandasAI can be used by everyone in the company to visualize data or to ask complex queries and extract valuable insights for better data-informed decisions.", "one_liner": "PandasAI is an open-source conversational data analysis platform with…", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1713218254, "tags": [ "Artificial Intelligence", "Analytics", "Data Visualization", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Germany", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/pandasai", "api": "https://yc-oss.github.io/api/batches/winter-2024/pandasai.json" }, { "id": 29398, "name": "ProSights", "slug": "prosights", "former_names": [ "ProSights", "Prosights" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7af3ebc3d01b55f1bcbe3d6c0c7f7edbaae31b20.png", "website": "https://prosights.co/", "all_locations": "New York, NY, USA", "long_description": "", "one_liner": "ProSights is a data / AI transformation partner to PE-backed portcos.", "team_size": 14, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1711348390, "tags": [ "Artificial Intelligence", "Fintech", "Analytics", "Enterprise Software", "Investments" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/prosights", "api": "https://yc-oss.github.io/api/batches/winter-2024/prosights.json" }, { "id": 29409, "name": "BetterBasket", "slug": "betterbasket", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c7b35e46eb9b08cc67eb469ae038a64122cff97e.png", "website": "http://www.betterbasket.com", "all_locations": "San Francisco, CA, USA", "long_description": "BetterBasket provides grocery retailers with AI agents for pricing, competitive intelligence and promotion optimization, with the aim of helping teams boost revenue, manage margin targets and automate decisions using real-time data across operations. ", "one_liner": "Smart grocery pricing with AI", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1706153675, "tags": [ "Artificial Intelligence", "B2B", "Analytics", "Food & Beverage", "Retail" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/betterbasket", "api": "https://yc-oss.github.io/api/batches/winter-2024/betterbasket.json" }, { "id": 29507, "name": "kater.ai", "slug": "kater-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8e4c3ef97e004d2c1c5507c262401d7ad2a716ab.png", "website": "https://www.kater.ai", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "1. You explain your problem.\r\n2. Kater identifies the most important data questions to ask.\r\n3. Kater writes the code.\r\n4. You get insights in seconds rather than weeks.\r\n\r\nKater.ai flips the script on enterprise analytics by making every user an expert analyst. It uses a continuous classification engine to turn a single business question into a contextualized package of questions that is specific to your needs.\r\n\r\nKater puts the power of data into the hands of business experts while ensuring they use trusted data that is specific to their persona. No more waiting for data analysts. No more wasted time on analysis misfires and rework.\r\n\r\nYvonne was a data engineer and analyst who built the entire data stack at CREXi. Robin led engineering in Microsoft. \r\n\r\n\r\nData is the new oil. Companies are data-rich, insight-poor. We're helping companies become insight-rich. This is the future of data. ", "one_liner": "Deliver complete data analysis from a single question", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1706308353, "tags": [ "Artificial Intelligence", "Analytics", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/kater-ai", "api": "https://yc-oss.github.io/api/batches/winter-2024/kater-ai.json" }, { "id": 29513, "name": "GetCrux", "slug": "getcrux", "former_names": [ "Crux", "getcrux" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e441803edd599221aeb0cd1571b07115de1320cb.png", "website": "http://getcrux.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "GetCrux is the AI Creative Strategist to launch winning ads.\r\n\r\nCreatives have become the biggest lever to win on ad platforms. Yet, there is no clear way to figure out why something works. Marketers end up guessing and replicating the best performing ad, only to see it fail - with high CAC & wasted dollars.\r\n\r\nGetCrux helps performance marketers find winning patterns in their ad creatives across 100+ parameters like hooks, messaging, storyline, music, pacing, and recommend exactly what to launch next.", "one_liner": "AI Creative Strategist", "team_size": 9, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1706206728, "tags": [ "Artificial Intelligence", "SaaS", "Analytics", "Marketing", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/getcrux", "api": "https://yc-oss.github.io/api/batches/winter-2024/getcrux.json" }, { "id": 29582, "name": "Cheers", "slug": "cheers", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/319852b81dd897865aad034d9eccd66519d3b017.png", "website": "https://www.cheers.tech", "all_locations": "San Francisco, CA, USA", "long_description": "AI assistants are replacing search for local businesses. When someone asks ChatGPT for a plumber or hotel recommendations, reviews are the primary training signal, especially in local markets where other data is sparse. This is GEO (Generative Engine Optimization).\r\n\r\nCheers is the full-stack GEO platform for local service businesses. We audit AI visibility, build optimization plans (schema markup, citation fixes, review strategy), and give frontline teams NFC tools to generate reviews with employee-level attribution.\r\n\r\nVivint generated 70,000+ five-star reviews in 5 months. They now rank #1 on ChatGPT and Google Search across their markets.", "one_liner": "Win local search on ChatGPT & other LLMs", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1721413814, "tags": [ "Analytics", "Feedback", "AI", "Reviews" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/cheers", "api": "https://yc-oss.github.io/api/batches/summer-2024/cheers.json" }, { "id": 29636, "name": "Bayesline", "slug": "bayesline", "former_names": [ "Bayesline, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a34bad8ff76fdef00535145a04bd76a11f215b1.png", "website": "https://bayesline.com", "all_locations": "New York, NY, USA", "long_description": "Bayesline is building a GPU-powered financial analytics suite for institutional investors, like hedge funds. \r\n\r\nClients use our cloud deployed solution to build custom analytics in seconds, having previously been frustrated with off the shelf solutions that don't generate any alpha. What used to take weeks or months now happens near instantly. \r\n\r\nSebastian, CFA (ex Bloomberg Quant & AI Research) and Misha, PhD (ex BlackRock Managing Director) met while working at BlackRock in 2016. With a combined 20 years of experience in the space they set out to change the way the industry uses analytics - from one size doesn't fit all to truly tailored to clients' needs.", "one_liner": "Highly customizable and blazingly fast analytics for asset managers.", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1722543223, "tags": [ "Fintech", "Finance", "B2B", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": true, "url": "https://www.ycombinator.com/companies/bayesline", "api": "https://yc-oss.github.io/api/batches/summer-2024/bayesline.json" }, { "id": 29687, "name": "MinusX", "slug": "minusx", "former_names": [ "minusone.ai", "minusx.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/92dbd9d186e22d922d985755f90407e21859378a.png", "website": "https://minusx.ai", "all_locations": "San Francisco, CA, USA", "long_description": "MinusX is a state-of-the-art data agent that can build the best dashboards for your data, and notify you when something's up. You can interrogate all your data on our open source BI platform via Slack or MCP. 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Define tests as conversations with a graph-based approach, so you can easily branch into edge cases and variants.\r\n 🔁 Full lifecycle loop - failed calls automatically become repeatable tests, so every failure makes your agent stronger.\r\n\r\nRoark is the missing QA layer for Voice AI - helping teams ship agents they can trust.", "one_liner": "Test, monitor, and improve your voice agents", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1737797905, "tags": [ "Analytics", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/roark", "api": "https://yc-oss.github.io/api/batches/winter-2025/roark.json" }, { "id": 30405, "name": "nao Labs", "slug": "nao-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9572a4af92fd7a09438369c8555334bcd54574f8.png", "website": "https://getnao.io/", "all_locations": "San Francisco, CA, USA", "long_description": "nao is an open source framework to build and deploy analytics agent.\r\nCreate the context of your analytics agent with nao-core cli: data, metadata, modeling, rules, etc. Deploy a UI for anyone to chat with your agent and run analytics on your data.", "one_liner": "Open Source Analytics Agent", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1744958361, "tags": [ "Analytics", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/nao-labs", "api": "https://yc-oss.github.io/api/batches/spring-2025/nao-labs.json" }, { "id": 30406, "name": "BitBoard", "slug": "bitboard", "former_names": [ "Realm" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/74d921a27f5f4254a29834c03d8bfeb6cd8b878c.png", "website": "https://bitboard.work", "all_locations": "San Francisco, CA, USA", "long_description": "Data analysis with AI agents is great until you realize you want to set up a recurring report or collaborate with your team. We built an agent-first workbook so you don’t have to roll your own dashboards or fumble around in a rigid BI tool.\r\n\r\nConnect your agent of choice to BitBoard and it can generate connected charts, SQL, code, and commentary in a notebook-style UI you can share with your team.", "one_liner": "Let your agent build dashboards and reporting.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1746992332, "tags": [ "B2B", "Analytics", "Data Visualization", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/bitboard", "api": "https://yc-oss.github.io/api/batches/spring-2025/bitboard.json" }, { "id": 30497, "name": "Human Behavior", "slug": "human-behavior", "former_names": [ "Dough" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f0529597ad1f6e8b51f9be309f911ce7bb268c67.png", "website": "https://www.humanbehavior.co/", "all_locations": "San Francisco, CA, USA", "long_description": "Human Behavior uses vision models to watch all user web sessions so you know exactly how users use every part of your product. ", "one_liner": "Understand your users beyond the numbers", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1744779271, "tags": [ "Artificial Intelligence", "Developer Tools", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/human-behavior", "api": "https://yc-oss.github.io/api/batches/spring-2025/human-behavior.json" }, { "id": 30507, "name": "ParaQuery", "slug": "paraquery", "former_names": [ "Hypermorphic" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/023b1fec88d11ac0cc00d33e137188a1088f80f1.png", "website": "https://paraquery.com", "all_locations": "New York, NY, USA; Remote", "long_description": "ParaQuery is a fully-managed GPU-accelerated Spark solution providing double the performance at half the cost compared to solutions like Databricks and BigQuery. It is fully Spark-compatible, cloud agnostic, and has seamless integrations everywhere, all without vendor lock-in. ParaQuery makes it trivial to run large SQL and Spark workloads efficiently and serverlessly, without any data migrations.", "one_liner": "Managed GPU-accelerated Spark + SQL at 2x speed and half the cost", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1745603504, "tags": [ "Developer Tools", "Analytics", "Big Data", "Enterprise Software", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/paraquery", "api": "https://yc-oss.github.io/api/batches/spring-2025/paraquery.json" }, { "id": 30748, "name": "Pleom", "slug": "pleom", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b1e76d8c0743b28030c0f3c37f0d0bfa7f51272.png", "website": "https://pleom.com", "all_locations": "New York City, NY, USA", "long_description": "Automatic insights on all your company data. Speed up business workflows to visualizations with a 0 learning curve.", "one_liner": "Agentic Business Intelligence", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1755614874, "tags": [ "Artificial Intelligence", "Generative AI", "Analytics", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/pleom", "api": "https://yc-oss.github.io/api/batches/summer-2025/pleom.json" }, { "id": 30807, "name": "Paloma", "slug": "paloma", "former_names": [ "Salesmith" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f1218976659374be7dae288b56678777bbb6a1eb.png", "website": "https://getpaloma.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Paloma gives manufacturing companies an embedded team of engineers and ops experts who replace their manual operations with custom AI-native software.", "one_liner": "Digital transformation for real economy businesses", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1754546482, "tags": [ "Artificial Intelligence", "SaaS", "Analytics", "Manufacturing", "Operations" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/paloma", "api": "https://yc-oss.github.io/api/batches/summer-2025/paloma.json" }, { "id": 30844, "name": "Uplane", "slug": "uplane", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f28d39fea2309ac2fc4d42b7be088ee964dccf6a.png", "website": "https://uplane.com", "all_locations": "San Francisco, CA, USA", "long_description": "Uplane replaces marketing agencies with AI. We generate hundreds of ads with matching landing pages and steer the ad spend across channels like Meta, Google, LinkedIn and others. By connecting to CRM and ERP data, Uplane learns what drives profits and continuously improves campaigns.\r\n\r\nCompanies waste billions on bad ads, mismatched landing pages, and poor budget allocation. Uplane fixes this by replacing a patchwork of agencies, spreadsheets, and siloed tools with one self-improving system. The result: Higher ROAS for enterprises and effortless, expert-level marketing for SMBs.", "one_liner": "Replace marketing agencies with AI", "team_size": 19, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1759250646, "tags": [ "SaaS", "B2B", "Analytics", "Advertising", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/uplane", "api": "https://yc-oss.github.io/api/batches/fall-2025/uplane.json" }, { "id": 30863, "name": "The Context Company", "slug": "the-context-company", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/897cd2d31bc7dc869e170422ebc8e24a66f3e2bc.png", "website": "https://thecontextcompany.com", "all_locations": "San Francisco, CA, USA", "long_description": "Understand user patterns and find silent failures in your AI agents.\r\n\r\nThe Context Company helps teams analyze AI agent conversations to surface user behavior patterns, performance trends, and moments where agents struggle - so teams know what’s working, what’s not, and what to improve next.\r\n\r\nWe turn raw conversations into structured signals: topic clustering, user feedback analysis, custom pattern tracking, and alerts. All alongside traditional observability like traces, tool calls, latency, and costs.\r\n\r\nGet started in less than 10 lines of code.", "one_liner": "Monitor AI agents and understand user behavior", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1759953898, "tags": [ "Developer Tools", "B2B", "Analytics", "Monitoring", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/the-context-company", "api": "https://yc-oss.github.io/api/batches/fall-2025/the-context-company.json" }, { "id": 30871, "name": "Bron", "slug": "bron", "former_names": [ "PlayVision AI", "PlayVision", "PlayVision AI", "PlayVision" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/322e036fa9ab0e06f47840b20ad078b02e03e79b.png", "website": "https://askbron.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Bron is the ChatGPT for sports betting. Find +EV bets across 150+ sportsbooks and prediction markets, build parlays automatically, and surface the best bets of the day — in seconds.\r\n\r\nDownload Bron on the App Store here: https://apps.apple.com/us/app/bron-ai-sports-analysis/id6761323087", "one_liner": "ChatGPT for Sports Betting", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1761579619, "tags": [ "Artificial Intelligence", "Sports Tech", "Analytics", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/bron", "api": "https://yc-oss.github.io/api/batches/fall-2025/bron.json" }, { "id": 30949, "name": "Crunched", "slug": "crunched", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/386111466c0c67b245d52cdab2fb675d0a73799e.png", "website": "https://usecrunched.com/", "all_locations": "", "long_description": "Crunched is the Excel AI analyst for power users - in consulting, investment banking, and private equity. It error-checks workbooks end-to-end, builds models from scratch, and handles grunt work like extracting and linking data from IMs to template models - all within Excel so teams can review and iterate as usual.\r\n\r\nAgents struggle with tabular data - getting reliable, multi-step execution over thousands of interlinked formulas, sheets, and ranges is hard. Making Crunched good enough for people who live in Excel means knowing the pain points deeply.\r\n\r\nMichael and Philip has 10,000+ hours in Excel across consulting and finance. Markus and Lars bring deep expertise in scaling AI and enterprise solutions.\r\n\r\nWe've had easy access to first customers and are already live with firms across six European countries - we now plan to expand into the US. With >1bn total Excel users, we focus on the top 2%, highest-value Excel users globally. \r\n\r\nWe're solving one pain point at a time to create a product that doesn't just look good in a demo but actually works in production.\r\n\r\nExcel is here to stay, but the way experts model is fundamentally changing - with Crunched.", "one_liner": "Excel AI analyst for Power Users", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1760902114, "tags": [ "Finance", "Productivity", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/crunched", "api": "https://yc-oss.github.io/api/batches/fall-2025/crunched.json" }, { "id": 30993, "name": "DiligenceSquared", "slug": "diligencesquared-inc", "former_names": [ "DiligenceSquared Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e75ae93d8e056556c69cc8d6215f5c6787ea95eb.png", "website": "https://diligencesquared.com/", "all_locations": "New York City, NY, USA", "long_description": "DiligenceSquared delivers AI-powered market due diligence for investment decisions - like the $500k McKinsey reports, but automated, auditable, and at a fraction of the cost.\r\n\r\nWhen Private Equity funds evaluate deals, they pay firms like McKinsey, BCG, and Bain $500K-$1M for market due diligence. The process takes weeks, and the output is a static PowerPoint that's impossible to audit. A single large-cap PE fund can spend >$30M annually on this and the total market is $10B per year.\r\n\r\nOur AI agents conduct expert interviews and synthesize insights with every claim linked to source transcripts. No black box, no \"trust me\" slides, and no 10x mark-up for human labor.\r\n\r\nFrederik bought these reports as a Principal at Blackstone. Soren sold them as a Principal at BCG. Harshil is a repeat founder and former Software Engineer at Google. We've seen both sides and know what matters in due diligence - and now we automate it.\r\n\r\nOur clients already include 8 leading private equity funds with over $2.4 trillion in combined AUM.", "one_liner": "AI-powered market due diligence for investment decisions", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1762366564, "tags": [ "Artificial Intelligence", "Analytics", "Market Research" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/diligencesquared-inc", "api": "https://yc-oss.github.io/api/batches/fall-2025/diligencesquared-inc.json" } ]