[
  {
    "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": 231,
    "name": "Movity",
    "slug": "movity",
    "former_names": [],
    "small_logo_thumb_url": "/company/thumb/missing.png",
    "website": "http://movity.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Movity provides location-based living facilities and neighborhood data that help home buyers make better decisions. Movity.com surfaces geodata (crime, noise, pricing, etc) to help home buyers make better decisions. The company was founded in 2010 and is based in San Francisco, California.",
    "one_liner": "Real estate data visualization.  Sold to Trulia Dec…",
    "team_size": 2,
    "industry": "Real Estate and Construction",
    "subindustry": "Real Estate and Construction -> Housing and Real Estate",
    "launched_at": 1326790521,
    "tags": [
      "Real Estate",
      "Data Visualization"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2010",
    "status": "Acquired",
    "industries": [
      "Real Estate and Construction",
      "Housing and Real Estate"
    ],
    "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/movity",
    "api": "https://yc-oss.github.io/api/batches/winter-2010/movity.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": 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": 12573,
    "name": "Bayes",
    "slug": "bayes",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6bd9acb006cc7d6fc28381994e1ed810a1d819bb.png",
    "website": "http://bayes.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1633107136,
    "tags": [
      "Data Visualization"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2019",
    "status": "Acquired",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/bayes",
    "api": "https://yc-oss.github.io/api/batches/summer-2019/bayes.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": 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": 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": 22076,
    "name": "Dataland",
    "slug": "dataland",
    "former_names": [
      "Realism Labs",
      "Sidekick",
      "Realism Labs",
      "Sidekick"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9c1084ef28edc951f15115194ba8b7bc7c1889eb.png",
    "website": "https://dataland.io",
    "all_locations": "New York, NY, USA",
    "long_description": "Dataland is the applied AI lab for complex operations and customer support. In 8 months, we've grown to multi-million dollar ARR as just two founders and are highly profitable. We’re partnering with some of the fastest growing startups and public companies in the world.",
    "one_liner": "AI agents for customer support.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1594828571,
    "tags": [
      "B2B",
      "Data Engineering",
      "Data Visualization",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2020",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "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/dataland",
    "api": "https://yc-oss.github.io/api/batches/summer-2020/dataland.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": 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": 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": 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": 27831,
    "name": "Neptyne",
    "slug": "neptyne",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4bba48abf01450796ed84c6bb6dcb5adc2044c9a.png",
    "website": "https://neptyne.com",
    "all_locations": "New York, NY, USA",
    "long_description": "Neptyne is the first natively programmable spreadsheet, with a full Python environment, just like a Jupyter notebook. And we built in AI to make it easy to use, even if you’re not a Python expert. Neptyne turns anyone who can use Excel into a programmer.\r\n\r\nAt Google, Douwe launched products to millions in Search, Mobile and workplace. He founded multiple startups, and published a book on deep learning. 4 years ago Douwe rejoined Google, where he met his cofounder Jack and the rest of the team.\r\n\r\nNeptyne launched on Hacker News in February 2023, and since then users have made thousands of spreadsheets.  People have built everything from option trading systems to machine learning classifiers using Neptyne.",
    "one_liner": "The programmable spreadsheet.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1675313769,
    "tags": [
      "Generative AI",
      "Data Science",
      "Data Visualization"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Inactive",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/neptyne",
    "api": "https://yc-oss.github.io/api/batches/winter-2023/neptyne.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": 28660,
    "name": "Tremor",
    "slug": "tremor",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/182c66523823a79a77fe5fb67f2c30f66c4f25e3.png",
    "website": "https://www.tremor.so",
    "all_locations": "Zug, ZG, Switzerland",
    "long_description": "React components to build charts and dashboards",
    "one_liner": "The UI toolkit for Dashboards",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1691077279,
    "tags": [
      "Data Visualization",
      "Web Development"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Acquired",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "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/tremor",
    "api": "https://yc-oss.github.io/api/batches/summer-2023/tremor.json"
  },
  {
    "id": 28810,
    "name": "Zelos Cloud",
    "slug": "zelos-cloud",
    "former_names": [
      "Zelos"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/afc3d576d23341fe3b3be62748770b0756c79dcc.png",
    "website": "https://zeloscloud.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Zelos Cloud is the data platform for mission-critical systems that enables teams to observe, control, and test systems from prototype to production. The platform connects across entire ecosystems, capturing data from many protocols, enabling remote command execution, and facilitating team collaboration through shared workspaces and real-time annotations. By integrating data collection, processing, and visualization into one seamless pipeline, Zelos Cloud eliminates complexity and breaks down silos between engineering, operations, and quality teams.",
    "one_liner": "The Data Platform for Mission‑Critical Systems",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1688766669,
    "tags": [
      "Hard Tech",
      "Manufacturing",
      "Data Visualization"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/zelos-cloud",
    "api": "https://yc-oss.github.io/api/batches/summer-2023/zelos-cloud.json"
  },
  {
    "id": 28868,
    "name": "Briefer",
    "slug": "briefer",
    "former_names": [
      "Ergomake"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1e589854f66150c916444527d7f4aa314d3961ed.png",
    "website": "https://briefer.cloud",
    "all_locations": "São Paulo, SP, Brazil; Remote",
    "long_description": "Briefer helps data scientists and analysts build interactive visualizations and data apps using a Notion-like interface.\r\n\r\nConnect to your data sources, write SQL or Python, collaborate through comments and multiplayer editing, and run code in whichever compute environments you need.",
    "one_liner": "The collaborative data platform.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1687307247,
    "tags": [
      "Developer Tools",
      "B2B",
      "Data Science",
      "Data Engineering",
      "Data Visualization"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Inactive",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "Brazil",
      "Latin America",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/briefer",
    "api": "https://yc-oss.github.io/api/batches/summer-2023/briefer.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": 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": 29366,
    "name": "Metofico",
    "slug": "metofico",
    "former_names": [
      "Metofico ltd"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9fad9edec40c2dac0c3cfb3743f5450804f2ada1.png",
    "website": "https://metofico.com/",
    "all_locations": "London, England, United Kingdom; Remote",
    "long_description": "Metofico provides a no-code data analysis tool tailored for the life sciences. Our platform enables life scientists to analyse complex/massive datasets and extract necessary insights without needing advanced programming skills. This accessibility helps both researchers new to data science and experts save months of work.\r\n\r\nMetofico aims to be the leading centralized platform for data analysis in life science research, covering a wide range of applications from brain activity analysis (like photometry and EEG) to AI-powered detection and tracking of research animals. Our vision is to accelerate research processes and enhance the quality of research outputs across the board. By streamlining complex data analysis and making it more accessible, we’re committed to driving forward scientific discoveries and innovation.\r\n",
    "one_liner": "No Code Data Analysis for Life Science Research",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1710801203,
    "tags": [
      "SaaS",
      "Data Science",
      "No-code",
      "Data Visualization"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "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/metofico",
    "api": "https://yc-oss.github.io/api/batches/winter-2024/metofico.json"
  },
  {
    "id": 29383,
    "name": "Aftercare",
    "slug": "aftercare",
    "former_names": [
      "Kontractify"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/24db1f3b2c957bd0e1551d1e58afec1ea05426a4.png",
    "website": "https://getaftercare.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Aftercare helps you run surveys with AI-powered follow-up questions to dig into responses for deeper insights—it’s like having a skilled interviewer for every survey. ",
    "one_liner": "Conversational AI surveys with intelligent follow-up questions",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1709233414,
    "tags": [
      "SaaS",
      "Productivity",
      "Feedback",
      "Data Visualization"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/aftercare",
    "api": "https://yc-oss.github.io/api/batches/winter-2024/aftercare.json"
  },
  {
    "id": 29439,
    "name": "camelAI",
    "slug": "camelai",
    "former_names": [
      "qaml (pronounced camel)",
      "qaml",
      "camelQA"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/827e037c0aea7dec71df3f417e720db6c4d41d15.png",
    "website": "https://camelai.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "For decades, companies have settled for software built for everyone, which means it's perfect for no one. They stitch together five SaaS tools to approximate one workflow, pay for seats they don't use, and file tickets with a data team just to answer a simple question.\r\n\r\nCamelAI is a different bet: your own AI software engineer, living on its own computer, building exactly what your business needs.\r\n\r\nYou describe what you want. CamelAI builds it, deploys it to a live URL, and keeps it running. No developers required, no infrastructure to manage. Next week when your process changes, you ask again. The software changes with you.\r\n\r\nThis is personal software: tools made for your team, your data, your workflows.",
    "one_liner": "AI software engineer that lives on its own computer",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1701468865,
    "tags": [
      "SaaS",
      "Data Science",
      "Data Visualization",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "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/camelai",
    "api": "https://yc-oss.github.io/api/batches/winter-2024/camelai.json"
  },
  {
    "id": 29502,
    "name": "renderlet",
    "slug": "renderlet",
    "former_names": [
      "Coordinate Labs",
      "Renderlet"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8c34b0727ce76497f1f02b8f378c53e7f5d7ab8f.png",
    "website": "http://renderlet.com",
    "all_locations": "New York, NY, USA",
    "long_description": "renderlet is a framework that makes it easy to develop interactive applications.\r\n\r\nBuilding applications with high-performance graphics is very hard – existing tools are cumbersome and aren’t truly platform agnostic, leading to frequent rework. \r\n\r\nWith renderlet, developers can write high-level code to describe 2D and 3D graphics without having to use low-level, platform-specific APIs.\r\n\r\nrenderlet automatically compiles graphics code to WebAssembly and embeds a portable rendering engine inside any app, enabling graphics to safely and automatically render on any platform’s GPU.\r\n\r\nOur runtime is open-source: https://github.com/renderlet/wander",
    "one_liner": "Build interactive applications that run anywhere",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1708655277,
    "tags": [
      "Developer Tools",
      "Design Tools",
      "Data Visualization"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/renderlet",
    "api": "https://yc-oss.github.io/api/batches/winter-2024/renderlet.json"
  },
  {
    "id": 29768,
    "name": "Ember Robotics",
    "slug": "ember-robotics",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d7501c381ec6654b0249e7c8d1881f708e27ce6e.png",
    "website": "https://www.emberrobotics.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Ember builds hardware and system observability tools for robots and IoT devices. Founded by former Tesla Autopilot engineers, we help hardware teams catch failures early, reduce downtime, and iterate with confidence from prototype to scale.",
    "one_liner": "Datadog for robots",
    "team_size": 2,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1722583865,
    "tags": [
      "Developer Tools",
      "Robotics",
      "B2B",
      "Analytics",
      "Data Visualization"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "Industrials",
      "Manufacturing and Robotics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/ember-robotics",
    "api": "https://yc-oss.github.io/api/batches/summer-2024/ember-robotics.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": 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": 30684,
    "name": "Doe",
    "slug": "doe",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4f710ccf11734c2c75ffd07ca7442b64c2f35ab.png",
    "website": "https://doe.so/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Doe is where AI agents actually do your work. Connect your tools, tell Doe what you need, and agents handle it. When you want to do something yourself, Doe makes you faster and smarter. The boring stuff disappears. Everything else gets better.",
    "one_liner": "The boring stuff, handled. Everything else, supercharged.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1753649047,
    "tags": [
      "Artificial Intelligence",
      "Generative AI",
      "SaaS",
      "Productivity",
      "Data Visualization"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/doe",
    "api": "https://yc-oss.github.io/api/batches/summer-2025/doe.json"
  }
]
