[ { "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": 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": 88, "name": "Segment", "slug": "segment", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/99f5abd1f15fa4ca4394b5781c98d8ff23db6f7b.png", "website": "http://segment.com", "all_locations": "San Francisco, CA, USA", "long_description": "Segment is one place to collect customer data and send it to your tools for analytics, marketing automation, and raw data access with SQL. Implement all of your event tracking with Segment’s single API instead of wrangling a new API for every new tool or database. Segment's integrations let you send your data to hundreds of tools and databases.", "one_liner": "Software and APIs to collect, clean, and control customer data.", "team_size": 550, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1326789181, "tags": [ "SaaS", "B2B" ], "tags_highlighted": [], "top_company": true, "isHiring": false, "nonprofit": false, "batch": "Summer 2011", "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/segment", "api": "https://yc-oss.github.io/api/batches/summer-2011/segment.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": 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": 233, "name": "Data Marketplace", "slug": "data-marketplace", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://datamarketplace.com", "all_locations": "San Francisco, CA, USA", "long_description": "Data Marketplace helps people find, buy and sell data online. It helps users seeking a specific data to creating a request for free, explain their needs, add an optional deadline and budget, and in turn allows aggregators respond with relevant data for purchase. All of the data on Data Marketplace is available for immediate purchase and download. They provide data in standard formats (e.g. Excel, CSV, XML, JSON) .\n\nData Marketplace is funded by Y Combinator.", "one_liner": "", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1326790537, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2010", "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/data-marketplace", "api": "https://yc-oss.github.io/api/batches/winter-2010/data-marketplace.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": 282, "name": "Poll Everywhere", "slug": "poll-everywhere", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ecbec2f3750898b4408fbaa96c7249395a7fc445.png", "website": "https://www.polleverywhere.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Poll Everywhere turns any presentation into a two-way conversation - directly in your PowerPoint, Keynote, or Google Slide deck. Participants respond to questions live using mobile phones and the results appear instantly in beautiful, animated displays. Poll Everywhere engages everyone at conferences, town halls, training sessions, marketing events, and everyday meetings. Learn more about how organizations like HP, Volvo, KPMG, and over 75% of the Fortune 500 use Poll Everywhere to get results.", "one_liner": "Interactive meetings and presentations", "team_size": 70, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1326790942, "tags": [ "SaaS" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2008", "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/poll-everywhere", "api": "https://yc-oss.github.io/api/batches/summer-2008/poll-everywhere.json" }, { "id": 380, "name": "Infogami", "slug": "infogami", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://infogami.com", "all_locations": "London, England, United Kingdom", "long_description": "What is Infogami?\n\nThe art of transforming data into meaningful information.\n\nInfogami Business Intelligence (BI) solutions turn raw data into information that enables businesses to gain insights, improve decision making, reduce costs and support strategic objectives.\n\nSubject matter expertise is central to the Infogami ethos. The ability to communicate effectively and understand requirements, separates Infogami from other BI solutions.\n\nBridging the gap between information and collaboration, Infogami solutions enhance collaborative decision making and interaction. This improves the communication and information sharing process within an organisation.", "one_liner": "", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1326791715, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2005", "status": "Inactive", "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/infogami", "api": "https://yc-oss.github.io/api/batches/summer-2005/infogami.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": 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": 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": 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": 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": 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": 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": 788, "name": "Smarking", "slug": "smarking", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ebad8fcce5239d928f1d4d5d9a93312dd9a5c4f9.png", "website": "http://smarking.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Smarking is a group of hyper-driven MIT PhDs, data scientists, engineers, transportation experts, and battle-tested business professionals working to solve the notorious parking problem via a unique enterprise approach. Smarking aims to enable highly efficient urban mobility by digitizing parking spaces and distributing parking inventory dynamically, in order to get the world ready for the connected, shared, and autonomous future. \r\n\r\nBacked by top VCs like Y Combinator and Khosla Ventures, Smarking has brought its solution to over 2,500 parking locations across North America. For the first time, cities, parking asset owners, and parking operators can make data-driven decisions easily. Smarking also launched the industry’s first fully automatic dynamic pricing engine, producing 40%-400% revenue uplifts for online sales at at parking locations Chicago, NYC, Boston, and many other cities. ", "one_liner": "Digitize $655B parking industry", "team_size": 17, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1416221965, "tags": [ "SaaS", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2015", "status": "Acquired", "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/smarking", "api": "https://yc-oss.github.io/api/batches/winter-2015/smarking.json" }, { "id": 877, "name": "Second Measure", "slug": "second-measure", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0e1ab4f20c9665aacb49bbea815135e794fb13b.png", "website": "http://secondmeasure.com", "all_locations": "San Mateo, CA, USA", "long_description": "Second Measure is a Silicon Valley technology company and leading provider of data analytics that deliver valuable insights into company performance and consumer behavior. Investors use these tools for screening/sourcing, thesis validation/diligence, and intra-quarter KPI prediction. Consumer brands use these tools for competitive benchmarking and to make key decisions on product strategy, partnerships, and growth marketing.\r\n\r\nSecond Measure is based in San Mateo, CA with an additional office in New York. We’re proudly backed by Bessemer Venture Partners, Goldman Sachs, Citi Ventures, Y Combinator, and other top investors.\r\n\r\nWe'd love to hear from you if you're passionate about data, working with a bright team, and want to be a part of a growing startup.\r\n", "one_liner": "Unlock the power of transaction data.", "team_size": 62, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1429997720, "tags": [ "Fintech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2015", "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/second-measure", "api": "https://yc-oss.github.io/api/batches/summer-2015/second-measure.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": 1550, "name": "Anasen", "slug": "anasen", "former_names": [ "Vize Software", "Anasen", "Anasen (was Vize Software)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0d81b4192a51bc8d9cde2242ed434d6e025cd23.png", "website": "http://www.anasen.com", "all_locations": "Paris, Île-de-France, France; Remote", "long_description": "Anasen is an app that makes data analysis easy and accessible to non-technical business users.", "one_liner": "Anasen is an app that makes data analysis easy and accessible to…", "team_size": 15, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1481766628, "tags": [ "SaaS" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2017", "status": "Inactive", "industries": [ "B2B", "Analytics" ], "regions": [ "France", "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/anasen", "api": "https://yc-oss.github.io/api/batches/winter-2017/anasen.json" }, { "id": 1702, "name": "Thematic", "slug": "thematic", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9fdfd6d76b44b6fa6fbb40a4e9c99072a13924b8.png", "website": "http://www.getthematic.com", "all_locations": "Auckland, Auckland, New Zealand; Remote", "long_description": "Thematic is the customer intelligence layer for enterprise CX. Trustworthy and traceable reporting your teams can stake decisions on, and the grounded data foundation your AI agents need to scale safely. Customers see NPS gains of 5 to 35 points and have attributed $4.8M in revenue from a 6-month pilot. Forrester measured 543% three-year ROI. Trusted by DoorDash, Woolworths, BNY, and Mitsubishi.", "one_liner": "Customer intelligence for Enterprise CX teams. The grounded…", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1496779967, "tags": [ "SaaS", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2017", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "New Zealand", "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/thematic", "api": "https://yc-oss.github.io/api/batches/summer-2017/thematic.json" }, { "id": 1745, "name": "Worklytics", "slug": "worklytics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6e12a0489b9aae208b2203d11474c6fdafff83ad.png", "website": "https://www.worklytics.co", "all_locations": "Seattle, WA, USA", "long_description": "Worklytics identifies leading drivers of employee engagement, without the need for repetitive surveys. It does this by passively analyzing anonymous collaboration data, in tools like Google Workspace and Slack, and detecting patterns that lead to greater employee satisfaction. Worklytics uses these insights to promote positive organizational change by proactively nudging leaders and managers.", "one_liner": "Analytics to improve how teams work and collaborate", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1509562894, "tags": [ "Human Resources", "Productivity" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2018", "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/worklytics", "api": "https://yc-oss.github.io/api/batches/winter-2018/worklytics.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": 12003, "name": "Avo", "slug": "avo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5526613fca6b383058911964c9d9ef09fa74da82.png", "website": "https://www.avo.app/", "all_locations": "San Francisco, CA, USA; Reykjavík, Iceland", "long_description": "Avo fixes data quality in product analytics. Avo helps teams like Ikea, Wolt, Fender, Sixt and Condé Nast to plan, implement and monitor analytics, so they don't fly blind and fail to build great user experiences\r\n\r\nStart your step-by-step path to settle your analytics debt:\r\n\r\nStep 1: Better tracking plan management.\r\nAvo is a better alternative to the \"tracking plan spreadsheet\", keeping your data quality high and your schema sync'd with all downstream tools. Import your tracking plan for an instant audit, then design more scalable data for every feature release, even before you're an expert.\r\n\r\nStep 2: Better data validation.\r\nAvo is ongoing observability of actual tracking compared with tracking plan. One-time install the Avo Inspector SDK to see what's wrong with your tracking today so you can start making it better.\r\n\r\nStep 3: Better analytics release workflow.\r\nAvo is the self-serve analytics governance, changing how PMs, devs and data scientists collaborate to plan, implement and verify their product analytics. What used to take Patreon 1-4 days for every feature release, now takes 30-60 minutes.", "one_liner": "Fixing data quality in product analytics.", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1541473369, "tags": [ "Developer Tools", "B2B" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2019", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "Iceland", "America / Canada", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/avo", "api": "https://yc-oss.github.io/api/batches/winter-2019/avo.json" }, { "id": 12034, "name": "Askdata", "slug": "askdata", "former_names": [ "INNAAS", "Askdata (formerly INNAAS)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c26caaf0db429752af5070f2f77e3958c651c707.png", "website": "http://www.askdata.com", "all_locations": "San Francisco, CA, USA", "long_description": "Askdata lets users interact with data through natural language. \r\n\r\n1. Users can connect their Apps and Data.\r\n2. Start making questions like \"Show me revenue for 2018\"\r\n3. Receive personalized data insights.", "one_liner": "Frictionless Data", "team_size": 17, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1541559830, "tags": [ "Artificial Intelligence" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2019", "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/askdata", "api": "https://yc-oss.github.io/api/batches/winter-2019/askdata.json" }, { "id": 12356, "name": "Memfault", "slug": "memfault", "former_names": [ "Memfault", "Inc" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/69aff41aabfb54d70629bb4411a828953bd10011.png", "website": "https://memfault.com", "all_locations": "San Francisco, CA, USA", "long_description": "Memfault is the first IoT reliability platform that empowers teams to build more robust devices with software at scale. We believe that device reliability engineering will transform how developers build and operate IoT and edge devices with more productivity and more collaboration. As IoT applications continue to grow in complexity, it is more important than ever for developers to have Memfault’s performance monitoring, device debugging, and OTA update capabilities built into their fleet of devices for proactive device operations. We built Memfault to enable developers with a more scalable and sustainable process to accelerate go-to-market, de-risk product launches, cut product costs, and deliver overall superior products.", "one_liner": "First IoT reliability platform for debugging, monitoring, OTA updates", "team_size": 80, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1545442498, "tags": [ "Developer Tools", "SaaS", "IoT" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2019", "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/memfault", "api": "https://yc-oss.github.io/api/batches/winter-2019/memfault.json" }, { "id": 12610, "name": "Lantern", "slug": "lantern", "former_names": [ "Graphitics (placeholder name)", "Lazy Lantern" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d3f8b7a965f24587619ad648d91b5844cffc65be.png", "website": "https://www.lantern.so", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "User behavior monitoring for modern product teams.\r\nIt works autonomously— no code, no configuration, no data expertise required.", "one_liner": "User behavior monitoring for modern product teams", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1556591759, "tags": [ "Artificial Intelligence" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2019", "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/lantern", "api": "https://yc-oss.github.io/api/batches/summer-2019/lantern.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": 12832, "name": "PredictLeads", "slug": "predictleads", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1b1dfbe12c8d51212415378b6233142fd20817a2.png", "website": "https://predictleads.com", "all_locations": "Ljubljana, Ljubljana, Slovenia; Remote", "long_description": "PredictLeads provides structured data on companies. Using our data Sales teams can discover companies in their buy mode, Quant funds know when to perform trades and VCs can predict when a startup will be raising a new round. PredictLeads cuts down their market research time. Our goal is to structure the sea of public information on companies. ", "one_liner": "Best in class company intelligence data. ", "team_size": 37, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1559182380, "tags": [ "Machine Learning" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2019", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Slovenia", "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/predictleads", "api": "https://yc-oss.github.io/api/batches/summer-2019/predictleads.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": 13088, "name": "Polytomic", "slug": "polytomic", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4767968ca9a72ca160b394cd0fb3eba2f5602eb7.png", "website": "https://www.polytomic.com", "all_locations": "San Francisco, CA, USA", "long_description": "Polytomic is a no-code web app to sync data between your internal databases, business systems (e.g. Stripe, Salesforce, etc), data warehouses, spreadsheets, and even HTTP APIs. ", "one_liner": "No-code data syncing between your systems", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1612396813, "tags": [ "SaaS", "B2B", "Data Engineering" ], "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/polytomic", "api": "https://yc-oss.github.io/api/batches/winter-2020/polytomic.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": 13112, "name": "Orbiter", "slug": "orbiter", "former_names": [ "In Good Company", "Orbiter (by In Good Company)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/81f62b42761b3850734765fe84470eb84ad0de1b.png", "website": "http://www.getorbiter.com", "all_locations": "San Francisco, CA, USA", "long_description": "Orbiter’s ML models monitor business metrics automatically and send alerts when those metrics experience abnormal drops or spikes. Any company can onboard in less than five minutes with just their database credentials - no engineering required. ", "one_liner": "ML models automatically monitor business performance", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1584147330, "tags": [ "Machine Learning", "SaaS", "B2B" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2020", "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/orbiter", "api": "https://yc-oss.github.io/api/batches/winter-2020/orbiter.json" }, { "id": 13150, "name": "Basedash", "slug": "basedash", "former_names": [ "BaseDash" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d3e2e24bac68a97c9a4989e727ff30c5e0ac0295.png", "website": "https://www.basedash.com", "all_locations": "Montreal, QC, Canada; Remote", "long_description": "Basedash is the AI-native Business Intelligence platform. Create dashboards and instantly understand your customers using natural language. Connect 500+ data sources, ask a question, and let Basedash visualize the answer.", "one_liner": "The AI-native business intelligence platform", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1596147758, "tags": [ "SaaS", "B2B", "Data Science", "Data Visualization", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2020", "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/basedash", "api": "https://yc-oss.github.io/api/batches/summer-2020/basedash.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": 13312, "name": "PostHog", "slug": "posthog", "former_names": [ "Hiberly" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f1b6d1787ae32a7ebc0d417ec6fb8a204a3bbe9.png", "website": "https://www.posthog.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "PostHog helps engineers build better products. We provide everything they need to make sure they are building something that people want. This means - product analytics, session replays, feedback tools, feature flags, experimentation, LLM observability, and a data warehouse (with SQL) with one click data imports from the places you use.\r\n\r\nWe've been averaging ~10% monthly revenue growth, we are [default alive](http://www.paulgraham.com/aord.html), and we didn't raised a huge / now-overpriced round in 2021. While others are focused on layoffs and struggling to grow into huge valuations, we're focusing on an awesome product for end users, hiring (a handful of) exceptional team members and seeing fantastic increases in revenue as a result.\r\n\r\nCheck out posthog.com/careers if you want to be part of this journey.", "one_liner": "The single platform to analyze, test, observe, and deploy new features", "team_size": 150, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1583901228, "tags": [ "Developer Tools", "B2B", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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": true, "url": "https://www.ycombinator.com/companies/posthog", "api": "https://yc-oss.github.io/api/batches/winter-2020/posthog.json" }, { "id": 19932, "name": "Jitsu", "slug": "jitsu", "former_names": [ "kSense" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2a6bc92874bce104c70f6971a040465116e2321.png", "website": "https://jitsu.com", "all_locations": "New York City, NY, USA; Remote", "long_description": "Jitsu is the fastest, most durable way to collect event data from every source - web, app, email, chatbot, CRM - into your data warehouse. 100% open-source. Purpose built, secure and ready in minutes.", "one_liner": "Open-Source CDP (acquired by Helium Ventures)", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1597695723, "tags": [ "SaaS", "B2B", "Open Source", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2020", "status": "Acquired", "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/jitsu", "api": "https://yc-oss.github.io/api/batches/summer-2020/jitsu.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": 22001, "name": "Tydo", "slug": "polyops", "former_names": [ "PolyOps" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/48848c19693fc99f897c757145ed09f04881b72f.png", "website": "https://www.tydo.com", "all_locations": "Los Angeles, CA, USA", "long_description": "Tydo’s Customer Intelligence Platform is a complete data warehouse built for AI powered customer insights. No engineer required.", "one_liner": "Turn your data into intelligence", "team_size": 14, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1598737634, "tags": [ "Fintech", "SaaS", "E-commerce" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2020", "status": "Inactive", "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/polyops", "api": "https://yc-oss.github.io/api/batches/summer-2020/polyops.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": 22778, "name": "HyperGlue", "slug": "hyperglue", "former_names": [ "Gemini AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a16e421a067f9b41e80bcc361abe747f87cfe040.png", "website": "https://www.hyperglue.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "There is more text generated than any one person or team can read. A single product team can not hope to sift through their thousands of feedback responses and determine the signal amongst the noise.\r\n\r\nHyperglue enables operators, product managers, and analysts to instantly access machine intelligence on large text datasets without the engineering or headcount overhead required to deploy natural language AI within their business.\r\n", "one_liner": "Business intelligence on text", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1651612188, "tags": [ "Machine Learning", "B2B", "NLP" ], "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", "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/hyperglue", "api": "https://yc-oss.github.io/api/batches/winter-2021/hyperglue.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": 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": 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": 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": 24270, "name": "Enso", "slug": "enso", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6759a6164c3fd0594119ff78b7d4a6206f80f1b.png", "website": "https://ensoanalytics.com", "all_locations": "Kraków, Lesser Poland Voivodeship, Poland; Remote", "long_description": "Enso Analytics is a self-service data prep and analysis platform for data teams. It transforms complex processes into repeatable workflows, saving users 7 hours weekly. With full configuration visibility, seamless environment transitions, and real-time updates, Enso caters to both non-programmers and developers, offering cloud and desktop options.\r\n\r\nDEMO: https://www.youtube.com/watch?v=OBrYjpgCSEE", "one_liner": "Self-Service Data Prep and Blend Built for Data Teams.", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1624612167, "tags": [ "SaaS", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Poland", "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/enso", "api": "https://yc-oss.github.io/api/batches/summer-2021/enso.json" }, { "id": 24348, "name": "Cloudthread", "slug": "cloudthread", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/901ce3d4d85e5af8508dc541cdc117afcf14c583.png", "website": "https://cloudthread.io", "all_locations": "San Francisco, CA, USA", "long_description": "Cloudthread is an analytics platform that helps engineering teams build cost efficiently in the cloud. We were behind Lyft's internal cloud cost management system and now we use that deep expertise to help organizations save hours of engineering time, reduce cloud bills, and prevent costly re-architectures.", "one_liner": "Eliminate Cloud Waste. Attribute and Track Savings. Engage Engineers.", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1628208703, "tags": [ "Developer Tools", "FinOps", "B2B", "Workflow Automation", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 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/cloudthread", "api": "https://yc-oss.github.io/api/batches/summer-2021/cloudthread.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": 24481, "name": "Whaly", "slug": "whaly", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a1af514f9cd7a1856ce3c31281c3e222087d748.png", "website": "https://whaly.io", "all_locations": "Paris, Île-de-France, France", "long_description": "Whaly helps data teams save time on maintenance and analysis building while making business users more autonomous on the analysis they want to improve their decision making.\r\n\r\nWe do this by providing a self service data platform where both data and business teams can work together.\r\n\r\nWe understood that most data teams were ending up being a bottleneck for the rest of the company and needed to give more autonomy to business teams to back their decisions with data.\r\n\r\nEmilien, Florian and Pierre were the minds behind the Data advertising platforms of the major media and e-commerce companies in France in their earlier position as Product Manager and head of Customer Success, giving them an edge on how to execute successfully a data project.", "one_liner": "Whaly is building a self-service analytics platform", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1627307992, "tags": [ "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "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/whaly", "api": "https://yc-oss.github.io/api/batches/summer-2021/whaly.json" }, { "id": 24484, "name": "Evidently AI", "slug": "evidently-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff0b16931b863f29fd0bd341fe033523a5e16dd6.png", "website": "https://evidentlyai.com", "all_locations": "London, United Kingdom; San Francisco, CA, USA; Remote", "long_description": "We are building an open-source standard to monitor ML models in production. The tool is used by enterprise data science teams to operate their models reliably and detect and resolve issues.", "one_liner": "Open-source monitoring for machine learning models", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1625666125, "tags": [ "Developer Tools", "Machine Learning", "B2B", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United Kingdom", "United States of America", "Europe", "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/evidently-ai", "api": "https://yc-oss.github.io/api/batches/summer-2021/evidently-ai.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": 24846, "name": "Datlo", "slug": "datlo", "former_names": [ "SIGA Geointelligence" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff8ea6145bd2655e4c3aad9c3d5e8252e1b412d0.png", "website": "https://www.datlo.com/", "all_locations": "Maringá, PR, Brazil", "long_description": "Datlo is a geointelligence platform made for sales and marketing folks. In seconds you can conduct market research, find new customers, and distribution channels for your company. All of that without needing a data scientist or a programmer. \r\n", "one_liner": "Datlo helps companies increase sales and expand through data", "team_size": 60, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1629284798, "tags": [ "SaaS", "Geographic Information System", "B2B" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Brazil", "Latin America", "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/datlo", "api": "https://yc-oss.github.io/api/batches/summer-2021/datlo.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": 25329, "name": "PromptLoop", "slug": "promptloop", "former_names": [ "Kiter" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7c8a8c2a5044b70f4b7cfd2ff37e4a2c34a9bdf2.png", "website": "https://www.promptloop.com/", "all_locations": "San Francisco, CA, USA", "long_description": "PromptLoop helps GTM teams automate account research and data enrichment at scale. We turn manual web scraping and qualification workflows into automated processes, enabling teams to enrich thousands of accounts with detailed company data and buying intent markers in minutes.\r\n\r\nWhy PromptLoop? Sales and marketing teams traditionally spend hours manually researching accounts or rely on outdated data providers. We automatically crawl and extract precise data points from company websites, social profiles, and public sources at 10% the cost of manual research, with built-in quality controls and strict sourcing. Teams can process 10k+ accounts simultaneously, turning raw URLs into actionable qualification data tailored to your goals.", "one_liner": "AI agents to build B2B datasets", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1642624185, "tags": [ "Artificial Intelligence", "Generative AI", "SaaS", "Sales", "Market Research" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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/promptloop", "api": "https://yc-oss.github.io/api/batches/winter-2022/promptloop.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": 25585, "name": "Armilla AI", "slug": "armilla-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a0397658ae6c0ba5a9499d3b6844bdb898f09c38.png", "website": "http://www.armilla.ai", "all_locations": "Toronto, ON, Canada", "long_description": "Using industry-leading AI/LLM evaluation technology, Armilla AI provides third-party AI assessment and warranty solutions, backed by leading reinsurers Swiss Re, Greenlight Re and Chaucer. Vendors of AI-powered products leverage Armilla’s assessment to anticipate customer questions, respond to enterprise RFPs, meet regulatory requirements, build trust in the reliability of their solutions - and ultimately, to accelerate sales. \r\n\r\nArmilla’s clients include enterprises along with AI-first start ups & scale ups in Fintech, Insurtech, Healthtech, Legaltech, HRtech & more.", "one_liner": "AI/LLM Assessment & Warranty Solutions", "team_size": 14, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1642131883, "tags": [ "Artificial Intelligence", "Machine Learning" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Canada", "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/armilla-ai", "api": "https://yc-oss.github.io/api/batches/winter-2022/armilla-ai.json" }, { "id": 25656, "name": "Siftly", "slug": "siftly", "former_names": [ "Tingo", "Airdot" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/63e375b78f3b00638a6032725c25f63fb3f3cc2a.png", "website": "https://siftly.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Siftly helps brands measure, improve, and scale their visibility inside AI assistants like ChatGPT, Gemini, and Perplexity.\r\nWe track how your brand is surfaced, compared, and recommended and give you actionable insights to win AI-driven discovery.\r\nThink of it as SEO for the AI era, built for B2B, B2C, D2C, and e-commerce growth teams.", "one_liner": "Get your brand discovered and recommended by ChatGPT", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1647245407, "tags": [ "Artificial Intelligence", "SEO", "AI" ], "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", "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/siftly", "api": "https://yc-oss.github.io/api/batches/winter-2022/siftly.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": 25733, "name": "SmartHelio", "slug": "smarthelio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fada073ad0b6d9c3b509c6673811cf6d8acf80ed.png", "website": "https://www.smarthelio.com/", "all_locations": "Lausanne, VD, Switzerland", "long_description": "SmartHelio provides a software that helps solar utilities automatically predict and prevent downtime disruptions. We help solar utilities to generate extra $200k per plant income on $10k spent using our software, by preventing 700 faults per year.\r\n\r\nWe have a platform which reads live data (current, voltage, weather parameters) from a solar plant, runs algorithms to decouple various factors for the underperformance and provides recommendations to fix it. This data is 100% available for the large scale solar in the world just using software (e.g. APIs). \r\n\r\nProduct launch: https://www.producthunt.com/posts/heliocloud\r\n\r\nOur cloud software is being used by 40+ leading solar developers in Europe and Asia. We have analyzed 25+ billion of data points from over 3 GW of solar assets spread across the globe in the last 2 years. \r\n", "one_liner": "Software to prevent downtime in a solar plant", "team_size": 25, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1643910540, "tags": [ "Solar Power", "Climate", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Switzerland", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/smarthelio", "api": "https://yc-oss.github.io/api/batches/winter-2022/smarthelio.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": 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": 26860, "name": "NewsCatcher", "slug": "newscatcher", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e6df1d33e5151e6b36a83a91e94b8bb2550c930.png", "website": "https://newscatcherapi.com/", "all_locations": "Kyiv, Ukraine; Remote", "long_description": "CatchAll by NewsCatcher is a recall-first web search API built for queries where the results are spread across hundreds or thousands of pages on the web. Instead of returning the top ranked links like traditional search engines, CatchAll retrieves a large candidate set from the web, validates which pages actually match the query, and extracts structured records of real-world events.\r\n\r\nDevelopers and data teams use CatchAll to answer “long-list” questions such as tracking regulatory actions, funding rounds, product launches, corporate expansions, or cybersecurity incidents. The output is not just links but clean, deduplicated datasets that can power AI agents, monitoring systems, analytics pipelines, and market intelligence workflows.\r\n\r\nCatchAll runs on the data infrastructure developed by NewsCatcher, which continuously indexes millions of articles and public web pages across a global network of sources.", "one_liner": "Turning the web into a structured database of real world events.", "team_size": 22, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1659698356, "tags": [ "Artificial Intelligence", "SaaS", "Enterprise", "Big Data", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Ukraine", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": true, "url": "https://www.ycombinator.com/companies/newscatcher", "api": "https://yc-oss.github.io/api/batches/summer-2022/newscatcher.json" }, { "id": 27097, "name": "Findly", "slug": "findly", "former_names": [ "Conversion Pattern" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb66cc9915337d3770b18b75f9fd9abe54a3e901.png", "website": "https://www.findly.ai/join", "all_locations": "London, England, United Kingdom", "long_description": "Findly.ai is the co-pilot for Business Intelligence that revolutionizes how businesses understand and interact with their data. By creating an engaging chat environment, it empowers decision-makers to gain insights, request reports, and generate visualizations based on their company's metrics. This seamless interaction is made possible by integrating a metric layer that comprehends all your company's metrics. The chat-based exploration simplifies complex data analysis, allowing users to generate comprehensive summaries with a single click, which can be exported to various formats. Furthermore, with the introduction of scheduled chats and action-triggered automations, Findly.ai enhances the autonomy and efficiency of decision-makers. It's more than a tool; it's a decision-making operational system aiming to facilitate decision-makers in achieving their KPIs while spending less time waiting for data.", "one_liner": "Co-pilot for Business Intelligence", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1660122078, "tags": [ "Artificial Intelligence", "Generative AI", "B2B", "Chatbot", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "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/findly", "api": "https://yc-oss.github.io/api/batches/summer-2022/findly.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": 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": 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": 28006, "name": "Mantys", "slug": "mantys", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab148653f771ae83b42b2726259e7e2be8e1e60a.png", "website": "https://www.mantys.io/", "all_locations": "Bengaluru, KA, India", "long_description": "Mantys helps SaaS companies calculate and forecast their ARR accurately in real time without using multiple spreadsheets. For example, NextBillion uses Mantys to pull data from HubSpot and Chargebee and create real-time views of their Contracted ARR, Billed ARR, Churn, and forecasted ARR", "one_liner": "ARR Reporting and Forecasting for SaaS companies", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1674394820, "tags": [ "SaaS", "Finance", "B2B", "India" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "India", "South 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/mantys", "api": "https://yc-oss.github.io/api/batches/winter-2023/mantys.json" }, { "id": 28048, "name": "Muffin Data", "slug": "muffin-data", "former_names": [ "Muffin" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/114d8e98d0c660d1f014c3be491efb93b593f25c.png", "website": "http://www.muffindata.com", "all_locations": "", "long_description": "Muffin Data is a turnkey data platform and reporting solution for consumer packaged goods (CPG) brands. We combine proprietary data sets with automated ingestion from industry-specific data sources to provide a clear and unified view of in-store sales performance, product distribution, and supply chain health.", "one_liner": "Modern analytics for CPG brands", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1677039936, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "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/muffin-data", "api": "https://yc-oss.github.io/api/batches/winter-2023/muffin-data.json" }, { "id": 28078, "name": "Turntable", "slug": "turntable", "former_names": [ "Curious Data" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a15c4d80c460289d85dd7ca55681d29f3aae7ba.png", "website": "https://www.turntable.so", "all_locations": "New York, NY, USA", "long_description": "Turntable allows less technical analysts to build their own data pipelines. Companies use our AI-native workspace to scale their analytics without hiring more engineers.\r\n\r\nIf you use DBT or Airflow- or you're building out your data stack for the first time- please reach out!", "one_liner": "AI-native operating system for analytics teams", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1674172313, "tags": [], "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": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/turntable", "api": "https://yc-oss.github.io/api/batches/winter-2023/turntable.json" }, { "id": 28096, "name": "OpenInt", "slug": "openint", "former_names": [ "Map3", "Ally", "Evefan" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/67a1ff68627d7db644256cf5b89e938213258bed.png", "website": "https://openint.dev", "all_locations": "Remote", "long_description": "OpenInt helps teams ship product integrations in hours, not weeks, using no or low code. Read and write data using unified APIs or sync it straight to your database. ", "one_liner": "Open Source Embedded Product Integrations", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1673267479, "tags": [ "Developer Tools", "SaaS", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "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/openint", "api": "https://yc-oss.github.io/api/batches/winter-2023/openint.json" }, { "id": 28659, "name": "PeerDB", "slug": "peerdb", "former_names": [ "PeerDB Inc" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a83477f0ae90481f26400baea36bd4c2fed890a.png", "website": "https://peerdb.io/", "all_locations": "", "long_description": "At PeerDB, we are building a fast, simple and the most cost effective way to stream data from Postgres to Data Warehouses, Queues and Storage engines. If you are running Postgres at the heart of your data-stack and move data at scale from Postgres to any of the above targets, PeerDB can provide value.\r\n\r\n\r\nWe support different modes of streaming - log based (CDC), cursor based (timestamp or integer) and XMIN based. Performance wise, we are 10x faster than existing tools. Features wise, we support native Postgres features such as comprehensive set of data-types incl. jsonb/arrays/postgis, efficiently streaming toast columns, schema changes and so on.", "one_liner": "Fast, native ETL for Postgres 🐘 🚀", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1686776037, "tags": [ "Developer Tools", "Open Source", "Data Engineering", "Enterprise Software", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "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/peerdb", "api": "https://yc-oss.github.io/api/batches/summer-2023/peerdb.json" }, { "id": 28787, "name": "Deasy Labs", "slug": "deasy-labs", "former_names": [ "Deasie" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b2f7a8dffc7dc8a6fdb4c13dce765cc7d2820b9a.png", "website": "https://www.deasylabs.com/", "all_locations": "New York City, NY, USA", "long_description": "Deasy Labs was acquired by Collibra in July 2025 (global leader in enterprise data governance).\r\n\r\nDeasy Labs provides metadata orchestration for AI workflows. Deasie's platform provides the best way for AI teams to create and embed high-quality, customized metadata into their AI workflows (e.g., RAG, Agentic frameworks).\r\n\r\nOur three founders (from Amazon, McKinsey/QuantumBlack & MIT) previously built an ML data governance tool from 0 to 1 within McKinsey, which we deployed with 11 Fortune 500 companies. We saw in early 2023 the ability to create high-quality metadata (without reliance on domain experts) would be a key factor in achieving the accuracy & speed in GenAI applications required for production. \r\n\r\nOur investors include General Catalyst, Y Combinator, RTP Global and world experts in enterprise data. Website: https://deasylabs.com", "one_liner": "Metadata for GenAI workflows", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1691123582, "tags": [ "Artificial Intelligence", "Data Labeling", "Big Data", "AI Assistant", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 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/deasy-labs", "api": "https://yc-oss.github.io/api/batches/summer-2023/deasy-labs.json" }, { "id": 28830, "name": "Revamp", "slug": "revamp", "former_names": [ "Revamp.ai", "Revamp AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f90d336604524c2f01492214fdeed5ec5541815.png", "website": "https://www.getrevamp.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Revamp helps eCommerce brands and agencies understand customer behavior by creating smarter segments for targeted email and paid acquisition campaigns.", "one_liner": "AI-Powered Customer Segmentation for eCommerce", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1689724181, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "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/revamp", "api": "https://yc-oss.github.io/api/batches/summer-2023/revamp.json" }, { "id": 28864, "name": "Outset", "slug": "outset", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b9884cde2f06e46373b20cec776477bb5ff0f4c1.png", "website": "https://outset.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Outset offers AI-powered user interviews to conduct qualitative research. Traditional surveys are fast but lack depth while live interviews produce high quality data but are slow and expensive. Outset uses LLMs to lead interviews and synthesize results so researchers get high quality data 100 times faster. ", "one_liner": "AI-powered user interviews", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1683921315, "tags": [ "SaaS", "B2B", "Market Research", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "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/outset", "api": "https://yc-oss.github.io/api/batches/summer-2023/outset.json" }, { "id": 28879, "name": "Menza", "slug": "menza", "former_names": [ "Latentspace" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0f36c0f6ef0c008a938907cd0f96219f189f90d4.png", "website": "https://menza.ai/", "all_locations": "London, United Kingdom", "long_description": "Menza is the AI data analyst for consumer brands. A brand like Hershey’s would connect all of their data sources and then we give them an AI analyst that works 24/7 looking for revenue opportunities, cost leaks, trends and anomalies.", "one_liner": "The AI data analyst for consumer brands", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1691019522, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "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/menza", "api": "https://yc-oss.github.io/api/batches/winter-2026/menza.json" }, { "id": 28931, "name": "Vizly", "slug": "vizly", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ba0d44f6e33397a7932f4616c99d34e64aaaa42c.png", "website": "https://vizly.fyi", "all_locations": "San Francisco, CA, USA", "long_description": "Vizly helps you get the most out of your data by turning it into actionable insights in seconds. Whether you're a researcher, professor, data analyst, or business leader, Vizly's AI capabilities enable you to visualize, analyze, and interpret your data effortlessly.\r\n\r\nFor example, Vizly can automatically generate interactive visualizations, perform detailed statistical analyses, and offer predictive insights, making your data analysis workflow seamless.\r\n\r\nBefore Vizly, Ali built out people-based AI recommendations at Apple and Sami built mission-critical data visualization systems at NASA's Jet Propulsion Laboratory.", "one_liner": "Data to insights in seconds", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1690922920, "tags": [ "Artificial Intelligence", "Privacy", "Data Science", "Data Visualization", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "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/vizly", "api": "https://yc-oss.github.io/api/batches/summer-2023/vizly.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": 29270, "name": "Keystroke", "slug": "keystroke", "former_names": [ "Buster" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c0833ad7adb5b1872106acf314503b0cb7c32a7.png", "website": "http://keystroke.ai", "all_locations": "Salt Lake City, UT, USA", "long_description": "Keystroke is the best way to build AI agents & automations with coding agents. \r\n\r\nIt's code-based, open source, and built for coding agents like Cursor, Claude Code, etc.", "one_liner": "n8n for coding agents", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1698776495, "tags": [ "Artificial Intelligence", "Developer Tools", "Generative AI", "Workflow Automation", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "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/keystroke", "api": "https://yc-oss.github.io/api/batches/winter-2024/keystroke.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": 29393, "name": "Voicepanel", "slug": "voicepanel", "former_names": [ "Speak Analytics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8778b22211636a64dbe5a5a1808ef49e63ed7613.png", "website": "https://voicepanel.com", "all_locations": "", "long_description": "We help teams evaluate products with real people.\r\n\r\nNew features. AI experiences. Websites. Apps. Ads. Messaging.\r\n\r\nEvery evaluation builds confidence in what to build, what to launch, and what to improve next.", "one_liner": "Build with conviction", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1702567792, "tags": [], "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/voicepanel", "api": "https://yc-oss.github.io/api/batches/winter-2024/voicepanel.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": 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. Connect your data, and put agents to work.", "one_liner": "Open source agentic BI for founders", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1722024736, "tags": [ "Artificial Intelligence", "Machine Learning", "Analytics", "Data Science", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "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/minusx", "api": "https://yc-oss.github.io/api/batches/summer-2024/minusx.json" }, { "id": 29727, "name": "Overstand Labs", "slug": "overstand-labs", "former_names": [ "Overstand Labs", "Overstand Labs Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/061e173be11210d3cca9f1b51ba89c7c5255750b.png", "website": "https://overstandlabs.com", "all_locations": "New York City, NY, USA", "long_description": "Overstand is a data lab that allows our customers to navigate any set of data in just a few minutes.\r\n\r\n*Enterprise*: For enterprises, we we unify Slack, email, calls, and operational data, then surface the signals that matter — customer needs, risks, and revenue opportunities hidden in everyday conversations.\r\n\r\n*Legal Firms*: For legal firms, we help them really quickly understand their entire discovery corpus (either before, or after document review), and quickly build out an initial case assessment and facts.\r\n\r\nInstead of waiting on reports or manual analysis, teams get immediate, evidence-backed answers from the data they already have. Overstand delivers clarity and leverage as your business scales.", "one_liner": "Navigate any set of data - no matter how large - in minutes.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1724369845, "tags": [ "Artificial Intelligence", "LegalTech", "Data Science", "Data Engineering", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "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/overstand-labs", "api": "https://yc-oss.github.io/api/batches/winter-2025/overstand-labs.json" }, { "id": 29745, "name": "Sharpe", "slug": "sharpe", "former_names": [ "January", "Lumenary", "Lumenary, Inc.", "Lumenary" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed377f5e3e709abc9139475076cec71316b01c06.png", "website": "https://sharpe.sh", "all_locations": "San Francisco, CA, USA", "long_description": "Sharpe helps traders go from idea to profit in minutes with AI, bundling petabytes of market data with high-performance infrastructure. Sharpe helped a top 5 quant firm find $10m+ of profit within a few hours of deployment.", "one_liner": "Agents for quantitative research and financial data science.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1722638950, "tags": [ "Artificial Intelligence", "Finance", "Analytics", "Big Data", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "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/sharpe", "api": "https://yc-oss.github.io/api/batches/summer-2024/sharpe.json" }, { "id": 29764, "name": "Zeit AI", "slug": "zeit-ai", "former_names": [ "Cascada AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a8b12b6d63b7ef88542a88cfd73009aa6a48073f.png", "website": "https://zeit-ai.com/", "all_locations": "", "long_description": "Zeit AI transforms your data bases and systems so that they can be queried using natural language. For example, the financial consultancy RISE, which depends heavily on Excel, uses Zeit AI to access and analyze expenses across their organization.", "one_liner": "From data to enterprise insights in just a few words.", "team_size": 9, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1722311835, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 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": true, "url": "https://www.ycombinator.com/companies/zeit-ai", "api": "https://yc-oss.github.io/api/batches/summer-2024/zeit-ai.json" }, { "id": 30267, "name": "Lopus", "slug": "lopus", "former_names": [ "Levo UI", "Lopus AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5463151bfe24c55a37e65a12d8f89b62dcef5c86.png", "website": "https://lopus.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Pointing an AI at all your data is a recipe for disaster - it will confidently lie, hallucinate, and drive your business into the ground.\r\n\r\nWhat if you could trust your AI the way you trust a calculator?\r\n\r\nThat's Lopus.\r\n\r\nWe build a self-healing semantic layer that captures your business logic.\r\nIncluding every metric, every definition, every edge case.\r\nDefined once, and trusted everywhere.\r\n\r\nNo SQL. No dashboards. No waiting on the data team.", "one_liner": "Headless Data Team", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1740443352, "tags": [ "Artificial Intelligence", "B2B", "Analytics" ], "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/lopus", "api": "https://yc-oss.github.io/api/batches/winter-2025/lopus.json" }, { "id": 30298, "name": "Artificial Societies", "slug": "artificial-societies", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f1ebd1806463e3909d4a1f7b197b6c3788ebf4c.png", "website": "https://societies.io", "all_locations": "London, England, United Kingdom", "long_description": "Artificial Societies simulates how large groups of people respond to opinion surveys and react to information. We help global F100 enterprises anticipate how their most important stakeholders react to their most important decisions: from how investors and opinion-leaders react to comms messaging, to how high-value customers react to marketing strategies.\r\n\r\nWe are experts in human behaviour. James, our Founder and CEO, is a Cambridge psychologist and data scientist who led the seminal paper that studied how 33,000 AI chatbots interact. Patrick, our Founder and Chief Product Officer, is an Applied Behavioural Scientist with years of experience helping F500 enterprises conduct market research. They are joined by a team of behavioural scientists, social scientists, and political scientists, all with a passion for uniting technology and an understanding of humanity.\r\n\r\nWe know that every public-facing enterprise decision has million-dollar consequences. From how to position towards opinion-leaders, industry peers, and policymakers, to which marketing content to invest in, knowing how stakeholders would react matters. But traditional market research methods are too slow, too expensive, and often just fail to\r\nreach the stakeholders that truly matter.\r\n\r\nWe spend our lives solving this problem. Our offering is that we build bespoke AI\r\nsimulations of high-value audiences, for insights on questions no one else can answer. We’ve built up over 2.5 million AI personas that are all grounded in real human behaviour – not just what people say, but also what they do. \r\n\r\nBut our enterprise partners choose us not just because we have achieved 95% accuracy in simulating human opinions compared to human self-replication - more importantly, they choose us because of our ability to deliver impossible research projects. Such as having insights in under 24 hours, such as being able to test sensitive strategies on high-value audiences with 100% security, without human risk.\r\n\r\nAs a result, we’ve delivered over 18 million responses to global Fortune 100 enterprises, that helped shape over 100 million dollars’ worth of decisions ranging from global expansion strategies, product positioning, advertising, and strategic communications.\r\n\r\nOur vision of Artificial Societies is a Societal World Model that enables infinite experimentation, so that every organisation can have awareness of outcomes, before making a decision. No planes fly without a wind-tunnel; no medicines are approved without clinical trials; and yet, the biggest decision societies face today are taken as bets. We see Artificial Societies as a historically inevitable technology, and see it as our lives' mission to bring it to life.", "one_liner": "We build networks of AI personas that simulate stakeholder opinions", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1739843143, "tags": [ "Artificial Intelligence", "Machine Learning", "SaaS", "B2B", "Market Research" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "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/artificial-societies", "api": "https://yc-oss.github.io/api/batches/winter-2025/artificial-societies.json" }, { "id": 30325, "name": "Roark", "slug": "roark", "former_names": [ "Roark AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7eeed88cf20d9f39f503ec2708b6bf85e2e7e652.png", "website": "https://roark.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Roark helps teams test, monitor, and improve their voice agents.\r\n\r\nVoice AI is exploding, but reliability is still the #1 challenge. Teams spend hours manually testing agents and still miss failures. In the last 6 months, Roark has processed over 10M minutes of calls, powering monitoring and simulation for teams across the Voice AI ecosystem (including YC companies).\r\n\r\nWe close that gap by combining:\r\n\r\n 📊 Monitoring & Evaluation - 40+ built-in metrics (latency, instruction-follow, sentiment, etc.), custom dashboards, alerts, and the ability to define your own. Up to 15 speakers with automatic speaker identification.\r\n 🎭 Simulations & Personas - end-to-end phone/WebSocket simulations for inbound and outbound agents, with configurable personas (accents, languages, speech & behavior profiles). 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": 30466, "name": "Labric", "slug": "labric", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2d2328f04b2a69a293a3f3a79d7e648159242574.png", "website": "https://labric.co", "all_locations": "San Francisco, CA, USA", "long_description": "Labric is building the data layer that makes AI work for science. We capture messy lab data from instruments and tools, clean it, and connect it—so researchers can actually use AI to accelerate discovery.", "one_liner": "The data layer for scientific research", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1747086610, "tags": [], "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/labric", "api": "https://yc-oss.github.io/api/batches/spring-2025/labric.json" }, { "id": 30566, "name": "Preseen", "slug": "preseen", "former_names": [ "Alpha's Game", "Ludus", "Ludus Labs", "Rid", "Chestnut Forty" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d3f865392a561957ea87a2b63d31fc9ba6611e6d.png", "website": "https://preseen.com", "all_locations": "San Francisco, CA, USA", "long_description": "We build forecasting agents for global macro events. ", "one_liner": "The AI forecasting company for global macro events. ", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1754272842, "tags": [], "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/preseen", "api": "https://yc-oss.github.io/api/batches/summer-2025/preseen.json" }, { "id": 30638, "name": "Lotas", "slug": "lotas", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b64e79cf442071bbe251c8f19acacccc3dbf1fea.png", "website": "https://www.lotas.ai", "all_locations": "San Francisco, CA, USA", "long_description": "For our first product, we built Rao: an AI coding assistant into RStudio — an IDE used by up to 5 million data scientists and statisticians who use the R programming language to analyze data. Rao could read, write, and edit code while understanding the user's context (codebase and environmental variables).", "one_liner": "AI for Data Science and 3D", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1754374450, "tags": [ "Artificial Intelligence", "Developer Tools", "Data Science", "Data Visualization" ], "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": true, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/lotas", "api": "https://yc-oss.github.io/api/batches/summer-2025/lotas.json" }, { "id": 30652, "name": "OnDeck AI", "slug": "ondeck-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9fb6ad4cbd4cdfac49ff1b40404d7053d5789883.png", "website": "https://www.ondeckai.com", "all_locations": "Vancouver, BC, Canada", "long_description": "OnDeck is the infrastructure layer that makes Vision Language Models accessible and scalable for enterprise. We let organizations instantly find any object, behavior or event, in any footage, without needing to train a model or collect any training data.\r\n\r\nThe Pain: Creating vision models usually takes months: collecting training data, training, then deployment. Worse yet: \r\n+ it’s often impossible to get enough data for a specific task, and \r\n+ even the best cv models struggle to generalize across diverse camera setups, workflows and environments. \r\n\r\nTo overcome these blockers, we bet early on the power of VLMs and built a vision engine that can generalize across any task and doesn’t need any training data. We published a NeurIPS workshop paper showing our new methods with VLMs beat traditional CV even at niche tasks.\r\n\r\nOur current customers include:\r\n- National Defense Organizations\r\n- Robotics Research\r\n- Security cameras\r\n- Behaviour analysis for port monitoring\r\n- Off-shore oil & gas monitoring", "one_liner": "Analyze any footage, without training a model", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1755488960, "tags": [ "Machine Learning", "SaaS", "Computer Vision", "B2B", "Video" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/ondeck-ai", "api": "https://yc-oss.github.io/api/batches/summer-2025/ondeck-ai.json" }, { "id": 30663, "name": "Tesora", "slug": "tesora", "former_names": [ "Tesora AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2793bc4802e1c1cddfc383aed3ac255ec33a0465.png", "website": "https://tesora.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Tesora builds agents for actuaries at P&C carriers, reinsurers, and MGAs. The agentic workbench ingests loss runs, SOVs, broker submissions, and SERFF filings, then builds, audits, and deploys raters and pricing analyses with a SOX-grade audit trail and ASOP-aligned reviews. Chief actuaries and heads of pricing use Tesora to replace the spreadsheet-and-email assembly between an actuarial idea and a deployed rate. ", "one_liner": "Frontier AI for Actuaries", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1755571936, "tags": [ "Artificial Intelligence", "API", "Insurance" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "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/tesora", "api": "https://yc-oss.github.io/api/batches/summer-2025/tesora.json" }, { "id": 30683, "name": "Theora", "slug": "theora", "former_names": [ "Ouiza", "Louiza Labs", "Ouiza", "Louiza Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/09fa077504ffa74fa4dfd4ddd54dca0ee40c3525.png", "website": "https://www.theorahq.com", "all_locations": "San Francisco, CA, USA", "long_description": "Ensuring every approved drug reaches patients who need it.\r\n\r\nAuditable AI to satisfy regulators and payors 10x faster. We Synthesize fragmented pharma and device data to prove safety, optimize market access, and anticipate regulatory response.\r\n\r\nMembers of our team worked in software engineering at Apple and AI at NVIDIA, helped start a large-cap pharma clinical trial, and trained at Harvard Medical School.\r\n\r\n", "one_liner": "OpenEvidence for Pharmaceutical Evidence", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1754166755, "tags": [ "Marketing", "Market Research" ], "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/theora", "api": "https://yc-oss.github.io/api/batches/summer-2025/theora.json" }, { "id": 30688, "name": "Fulcrum", "slug": "fulcrum", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/35c56987ac351304ba02872fb865e4cb5eebbc22.png", "website": "https://fulcrumresearch.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We build red-teaming agents that help developers fix their RL environments and improve their agents.\r\n\r\nOur customers are tired of being bullshitted by their agents.", "one_liner": "The agentic debugger for AI systems", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1756517840, "tags": [], "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/fulcrum", "api": "https://yc-oss.github.io/api/batches/summer-2025/fulcrum.json" }, { "id": 30737, "name": "Foresight", "slug": "foresight", "former_names": [ "Fluentive AI", "Fluentive" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e73e06f06f9c82efc635b55f38984d2cb9645b67.png", "website": "https://foresight.tt/", "all_locations": "New York City, NY, USA", "long_description": "Foresight builds AI-powered simulations of human behavior to help companies predict how people will think, react, and choose before making real-world decisions. It lets organizations test countless possible moves in advance, see how each one is likely to play out, and choose the strongest path forward.", "one_liner": "Consumer simulations for CPG market research", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1778160677, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "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/foresight", "api": "https://yc-oss.github.io/api/batches/spring-2026/foresight.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": 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": 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" }, { "id": 31173, "name": "Laurence", "slug": "laurence", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/853a7c6c871be155796217e789ab83fe95978b02.png", "website": "https://laurence.com", "all_locations": "New York City, NY, USA", "long_description": "Advertising today is like trading in the 1980s pits: archaic, manual, and iterative guesswork. Humans update bids and keywords with noisy, delayed data using simple if-else rules that both break at scale and ignore stochasticity.\r\n\r\nLaurence advertises like modern hedge funds trade markets, driving a 15-40% improvement in net profit for Amazon brands within a month of onboarding.", "one_liner": "Hedge fund for ads", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1767919574, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "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/laurence", "api": "https://yc-oss.github.io/api/batches/winter-2026/laurence.json" }, { "id": 31212, "name": "Constellation Space", "slug": "constellation-space", "former_names": [ "Constellation" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/507992dfdd26c7120b018a48e02b63f2dbff68b3.png", "website": "https://constellation.space/", "all_locations": "Seattle, WA, USA", "long_description": "Constellation Space is building the autonomous infrastructure layer for the next generation of space networking. As satellite constellations rapidly scale from hundreds of nodes to tens of thousands, traditional ground-based orchestration fundamentally breaks down. ConstellationOS bridges this gap by providing zero-intervention network handoffs, predictive thermal load-balancing, and sub-second optical routing.\r\n\r\nOur founding team spent years building and operating satellite systems at SpaceX, Blue Origin, and NASA. We started Constellation to solve the problem we kept running into: reactive monitoring doesn't scale.\r\n\r\nWe are building the sub-second routing protocols and hyperscale load-balancing infrastructure that will manage the future of off-world telecommunications and compute. \r\n\r\nhello@constellation-io.com", "one_liner": "AI operating system for mega-scale satellite networks. ", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1766273553, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "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/constellation-space", "api": "https://yc-oss.github.io/api/batches/winter-2026/constellation-space.json" }, { "id": 31221, "name": "Netter", "slug": "netter", "former_names": [ "Netter AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b2e86ec70fa3e3c6a1b8dc9f39e6aa2b5b7b5952.png", "website": "https://netter.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Netter (YC P26) helps companies regain control over their data, so teams can pilot their activities with high precision.\r\n\r\nMost companies are sitting on years of valuable data, spread across different formats and disconnected tools that don't talk to each other.\r\n\r\nNetter brings technical capacity to companies that don't have an army of data engineers, and tackles their most complex data challenges.\r\n\r\n- A nursing home group was chasing unpaid invoices manually across disconnected tools. Netter centralized the collection workflows, automated reminders, real-time visibility, task routing.\r\n- A retail chain had years of loyalty card data sitting unused. Netter cross-referenced it with public demographic data to build precise customer segments and trigger the right promotions to the right people.\r\n", "one_liner": "AI native Palantir for mid market.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1778028550, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "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/netter", "api": "https://yc-oss.github.io/api/batches/spring-2026/netter.json" }, { "id": 31454, "name": "Datost", "slug": "datost", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd7847f34ece1088e5a00b8771f63e4d68d53fb8.png", "website": "https://www.datost.com", "all_locations": "San Francisco, CA, USA", "long_description": "Datost watches your docs, Slack, databases, data lakes, and codebase, surfacing issues, answering questions, and flagging anomalies before anyone asks. Query, debug, and analyze right where your team works", "one_liner": "The proactive AI data analyst", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1772488469, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "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/datost", "api": "https://yc-oss.github.io/api/batches/spring-2026/datost.json" } ]