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Check out our special deal for YC companies and get started on your analytics journey. 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Amplitude started in 2012 to help organizations build better products through product analytics. Became a public company in 2021. Today, Amplitude serves more than 3,000 paying customers, guiding teams to clearer insights, faster action, and trusted data.\n\nMIT 2010, Course 20 (Bioengineering). Won MIT's largest programming competition, Battlecode, 2 years in a row.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/spenserskates", "x_url": "https://x.com/spenserskates", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bcbefae92d73365640a3186ad9f706c02ed03be2.jpg" }, { "user_id": 25982, "full_name": "Curtis Liu", "title": "Founder/CTO", "founder_bio": null, "is_active": true, "linkedin_url": "https://www.linkedin.com/in/curtisliu/?isSelfProfile=false", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4b660bebc8cb4d1ba31b0eefd6b9848d36a03861.jpg" } ], "jobs": [ { "id": 91863, "title": "Engineering Manager, Guides & Surveys", "url": "https://www.ycombinator.com/companies/amplitude/jobs/YZ0Eqyy-engineering-manager-guides-surveys", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Engineering manager", "salary_range": "$227K - $341K", "equity_range": "", "experience": "6+ years", "visa": "Will sponsor", "skills": [] }, { "id": 91864, "title": "Senior Engineering Manager, Experiment", "url": "https://www.ycombinator.com/companies/amplitude/jobs/rxByBhW-senior-engineering-manager-experiment", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Engineering manager", "salary_range": "$254K - $381K", "equity_range": "", "experience": "6+ years", "visa": "Will sponsor", "skills": [] }, { "id": 106780, "title": "Senior Software Engineer; Analytics Compute Platform team", "url": "https://www.ycombinator.com/companies/amplitude/jobs/KBUkbJC-senior-software-engineer-analytics-compute-platform-team", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$167K - $230K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106784, "title": "Staff Software Engineer - DevX", "url": "https://www.ycombinator.com/companies/amplitude/jobs/l13O2EF-staff-software-engineer-devx", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$220K - $330K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Amplitude CEO: building the machine for the journey to a billion dollars", "url": "https://www.thetechnologyletter.com/the-posts/amplitude-ceo-building-the-machine-for-the-journey-to-a-billion-dollars", "date": "Dec 13, 2022" }, { "title": "Amplitude's earnings show what you need to report to survive in today's market", "url": "https://techcrunch.com/2022/11/03/amplitudes-earnings-show-what-you-need-to-report-to-survive-in-todays-market/?guccounter=1", "date": "Nov 03, 2022" }, { "title": "Amplitude now supports direct data-sharing with Snowflake", "url": "https://venturebeat.com/data-infrastructure/amplitude-now-supports-direct-data-sharing-with-snowflake/", "date": "May 25, 2022" }, { "title": "Amplitude launches customer data platform with integrated product analytics", "url": "https://siliconangle.com/2022/05/25/amplitude-launches-customer-data-platform-natively-integrated-product-analytics/", "date": "May 25, 2022" }, { "title": "Amplitude’s CEO: ‘The Product Itself Has Become The Distribution Channel’", "url": "https://www.adexchanger.com/analytics/amplitudes-ceo-the-product-itself-has-become-the-distribution-channel/", "date": "May 06, 2022" } ], "launches": [ { "id": 95444, "title": "Amplitude AI Feedback — listen to users at scale", "tagline": "Turn support tickets, call transcripts, and reviews into actionable product insights.", "body": "**TL;DR:** Stop guessing what users want. Amplitude AI Feedback helps you turn feedback into clear product direction.\\\n\\\nTry it for free at [amplitude.com](http://amplitude.com).\n\nhttps://www.youtube.com/watch?v=x_nPbObb_Vo&t=1s \n\n**The Problem**\\\nTeams are drowning in user feedback: Slack threads, app reviews, community posts, support tickets, survey data. You know the insights are in there somewhere, but manually parsing all that takes too long.\n\nLots of AI tools summarize text, but they don’t actually _understand_ product needs or surface actionable insights.\n\n**The Solution**\\\nAmplitude AI Feedback gives you clarity:\n\n* Automatically groups feedback into feature requests, pain points, and bugs\n* Shows how often each topic comes up, with links back to original comments for context\n* Connects insights directly to product analytics so you can see what really moves the needle\n* Lets you ask your own questions and write PRDs with AI, based on all the data\n\nAI Feedback was first built by Kraftful (acq by Amplitude), where the team quickly scaled it to 50,000+ product builders. Joining forces four months ago allowed our teams to connect what users say to what users do in the product for the ultimate product insights. \\\n\\\nGive it a try on [amplitude.com](http://amplitude.com)!", "url": "https://www.ycombinator.com/launches/OpQ-amplitude-ai-feedback-listen-to-users-at-scale", "votes": 86, "created_at": "2025-11-12T14:17:39.156Z" } ] }, { "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. 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Nava is a public benefit corporation that was formed during the HealthCare.gov tech surge, and works across federal, state, and local levels to build better government services.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/shashashasha/", "x_url": "http://twitter.com/shashashasha", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/831b1700fe45b0f6d014d7a56633fa8253960598.jpg" }, { "user_id": 29150, "full_name": "Vaughn Koch", "title": "Founder/CTO", "founder_bio": "I'm building Kivo Health: we provide telehealth lung rehab for COPD patients. We just raised our $10m Series A.\n\nI'm a serial founder and technologist. I founded Movity in W2010 which exited to Trulia, and have built key tech at both startups and larger companies.", "is_active": false, "linkedin_url": "http://linkedin.com/in/vaughnkoch", "x_url": "https://twitter.com/vaughnkoch", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/73062f5c22131724acce49e0b3d2387e752a1fb3.jpg" }, { "user_id": 31681, "full_name": "Eric Wu", "title": "Founder", "founder_bio": "Founder at fpo3. Previously founded and led Opendoor as CEO (2014-2022) and President (2022-present), scaling it to a multi-billion dollar public company revolutionizing residential real estate. Previously founded Movity (YC W10), acquired by Trulia, where he then led Geo/Social Products. Third-time YC founder.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/ericwu01/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5c257e1c8604c893a117fb5491aa0c11cf62fce1.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "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. 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Previously Square, Google, stats PhD @ Duke.", "is_active": false, "linkedin_url": "http://linkedin.com/in/kenvanharen", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/55451e2f3a29d444202af141e90902291148139d.jpg" }, { "user_id": 43909, "full_name": "Chris Stanley", "title": "Founder", "founder_bio": "", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/chris-stanley", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/339f8dca62b76beeedc6c36bbf4dd04f64ded934.jpg" } ], "jobs": [], "news": [ { "title": "Y Combinator–backed Patterns is building a platform to abstract away data science busywork | TechCrunch", "url": "https://techcrunch.com/2023/03/09/y-combinator-backed-patterns-is-building-a-platform-to-abstract-away-data-science-busywork/", "date": "Mar 09, 2023" } ], "launches": [] }, { "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": true, "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": null, "url": "https://www.ycombinator.com/companies/evidence", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/evidence.json", "year_founded": 2021, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/evidence-dev", "x_url": "https://twitter.com/evidence_dev", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/evidence-1cfc", "github_url": "https://github.com/evidence-dev", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d8b363264f6bac1f6d0ca15696cb97172806885.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 724430, "full_name": "Adam McAskill", "title": "Founder", "founder_bio": "Previously led the data science team at one of Canada's leading private equity funds. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adam-mcaskill-74515720/", "x_url": "https://twitter.com/AdamMcaskill", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2ad8671d97bb5e486ca60a01f8b4755915738dff.jpg" }, { "user_id": 102765, "full_name": "Sean Hughes", "title": "Founder", "founder_bio": "Previously led the data science team at one of Canada's leading private equity funds.", "is_active": true, "linkedin_url": "https://ca.linkedin.com/in/hughessean", "x_url": "https://twitter.com/SeanHughes92", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/07de9c5aa123280b82349d36dc989a116e6a9d66.jpg" } ], "jobs": [ { "id": 114987, "title": "Software Engineer ", "url": "https://www.ycombinator.com/companies/evidence/jobs/zmlmpjE-software-engineer", "location": "Toronto, ON, CA / Toronto, Ontario, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K CAD", "equity_range": "0.25% - 0.50%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "Announcing our $2.1M Seed Round and Evidence Cloud", "url": "https://evidence.dev/blog/fundraise-and-cloud/", "date": "Sep 14, 2023" }, { "title": "Access code: Evidence brings open source BI to technical data teams | TechCrunch", "url": "https://techcrunch.com/2023/09/13/evidence-business-intelligence-open-source-code/", "date": "Sep 13, 2023" } ], "launches": [] }, { "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 City, 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": [ "Productivity", "Analytics", "Data Visualization", "AI" ], "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": null, "url": "https://www.ycombinator.com/companies/rollstack-2", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/rollstack-2.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rollstack", "x_url": "https://twitter.com/rollstack", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/rollstack", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/65e417fdebdce3308c883861f6f1ce40282921ab.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/84dd41f5b335b418bf3aa11b504861104351fb92.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 946616, "full_name": "Nabil Jallouli", "title": "Founder/CEO", "founder_bio": "Automating PowerPoints and Documents.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nabiljallouli/", "x_url": "https://twitter.com/nabs_jallouli", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7fc9f6bfcd05b04bec7f2d0eef2d3aad9790a563.jpg" }, { "user_id": 1014460, "full_name": "Younes Jallouli", "title": "Founder/CPO", "founder_bio": "Building Rollstack, the last mile of the modern data stack. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/younesjallouli/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1d8e6738cce26698f33b2b0425ed5deee1ddcc67.jpg" } ], "jobs": [ { "id": 65525, "title": "Software Engineer (TypeScript) - UK & Portugal", "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/8gY5JtV-software-engineer-typescript-uk-portugal", "location": "PT / GB / Remote (PT; GB)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€60K - €120K EUR", "equity_range": "0.05% - 0.20%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "Node.js", "React", "TypeScript" ] }, { "id": 88426, "title": "Software Engineer (TypeScript) - Eastern US/ Eastern Canada", "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/TzIAxqj-software-engineer-typescript-eastern-us-eastern-canada", "location": "SC, US / GA, US / VT, US / DE, US / RI, US / IN, US / NJ, US / CT, US / ME, US / FL, US / NH, US / MA, US / VA, US / WV, US / MI, US / PA, US / MD, US / NC, US / CA / Remote (SC, US; GA, US; VT, US; DE, US; RI, US; IN, US; NJ, US; CT, US; ME, US; FL, US; NH, US; MA, US; VA, US; WV, US; MI, US; PA, US; MD, US; NC, US; CA)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $240K", "equity_range": "0.05% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Node.js", "React", "TypeScript" ] }, { "id": 90999, "title": "Business Development Representative", "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/CLefCMg-business-development-representative", "location": "Seattle, WA, US / Remote (Seattle, WA, US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$85K - $100K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94619, "title": "Account Executive ", "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/xVWiPwE-account-executive", "location": "US / CA / Remote (US; CA)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$180 - $240", "equity_range": "0.05% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 108749, "title": "AI Software Engineer", "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/lo23eXr-ai-software-engineer", "location": "US / GB / PT / MX / BR / CA / Remote (US; GB; PT; MX; BR; CA)", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$80K - $240K", "equity_range": "0.05% - 0.20%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "Rollstack Raises $11M Series A to Automate Your Presentations with AI", "url": "https://www.prnewswire.com/news-releases/rollstack-raises-11m-series-a-to-automate-your-presentations-with-ai-302279758.html", "date": "Oct 21, 2024" }, { "title": "Rollstack raises $11 million in Series A", "url": "https://www.rollstack.com/articles/rollstack-raises-11-million-in-series-a-to-automate-your-data-driven-slide-decks-and-documents-using-ai", "date": "Oct 17, 2024" }, { "title": "Rollstack automatically syncs data to reports and presentations | TechCrunch", "url": "https://techcrunch.com/2023/09/27/rollstack-automatically-syncs-data-to-reports-and-presentations/", "date": "Sep 27, 2023" }, { "title": "Enterprise trends from YC W23 Demo Day | Wing Venture Capital", "url": "https://www.wing.vc/content/enterprise-trends-from-yc-w23-demo-day", "date": "Apr 14, 2023" } ], "launches": [ { "id": 68473, "title": "Rollstack - Report automation for the modern data stack", "tagline": "Put your slide decks and documents on wheels ⚙️", "body": "At Rollstack, we're revolutionizing how businesses share and communicate their data. Data-driven slide decks and documents are pivotal in sharing data and insights within organizations and outside.\n\nRollstack is creating a new category in the modern data stack: Report Automation. We connect BI tools to slide decks and documents, automating their updates and creation, and effectively solving the last-mile problem of data presentation.\n\nWe assist some of the world's leading organizations, like SoFi, 1Password, and Zillow, in automating their slide decks and documents.\n\n![uploaded image](/media/?type=post&id=68473&key=user_uploads/1014460/6cba1652-9f20-4ffa-89ad-582de99942fd)\n\n### **Storytelling with slides and docs is too cumbersome today**\n\nDo you find yourself spending excessive amounts of time formatting data, charts, presentations, and documents to make them presentable? Are you challenged collecting data from various sources to create your presentations and documents? And once you finish, you find yourself repeating the same process for each new client, project, the next week, month, or quarter? You are not alone! It takes teams anywhere from a few hours to multiple days to create a single set of slides or visualizations. 50% of professionals create slides weekly. 75% of them reuse the same deck at least once, and 30% over 5 times!\n\n### **Rollstack solves this**\n\nRollstack automatically creates and updates presentations and documents using multiple data sources and updates them for you!\n\n[Rollstack allows you to easily connect to your favorite data sources](https://www.youtube.com/watch?v=UclmZkV6XkM), then takes care of refreshing your data where you want to present it. Rollstack also saves your formatting and visualization choices so that you never do the same task again, and allows you to create multiple variations of these reports at scale.\n\n[Rollstack AI](https://www.youtube.com/watch?v=zT4mC2LgaWc) empowers business users with intelligent, personalized, contextualized insights that integrate into presentations and report documents.", "url": "https://www.ycombinator.com/launches/HoP-rollstack-report-automation-for-the-modern-data-stack", "votes": 82, "created_at": "2023-01-16T23:52:12.877Z" } ] }, { "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": "San Francisco, 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": null, "url": "https://www.ycombinator.com/companies/brewit", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/brewit.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/brewit", "x_url": "https://twitter.com/BrewitAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b28deb84212c3ba86685834131a7f0142304f1d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 557708, "full_name": "Leo Lu", "title": "Founder/CEO", "founder_bio": "Leo Lu is the co-founder and CEO of Brewit. Before founding Brewit, Leo was a product manager at JP Morgan, working on an internal business intelligence platform that powers thousands of internal commercial bankers within the organization to find more upsell opportunities and to better prospect. He graduated from UCSD with a degree in Management Science and a minor in Data Science.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/songanglu/", "x_url": "https://twitter.com/realleolu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0414faa2fd2a1e7ed74ddea9f9185b1f4b1d7737.jpg" }, { "user_id": 1140882, "full_name": "Mark Ding", "title": "Founder/CTO", "founder_bio": "Mark Ding was the co-founder and CTO of Brewit (an AI data analyst agent). Before Brewit, he was a data scientist & engineer on Tesla's data platform team. \n\nUC Berkeley EECS Master | UCSD Data Science", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kailingding/", "x_url": "https://twitter.com/markding0", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8dd231c748f1983e6b62eba1d3eefe0c04b2fa11.jpg" }, { "user_id": 1208671, "full_name": "Sam Ding", "title": "Founder", "founder_bio": "Sam Ding is the co-founder of Brewit. Before Brewit, he was a software engineer at Apple, building internal platforms on the Wireless team. Before He graduated from the University of Washington with a degree in Human-Computer Interaction.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kaishan-ding/", "x_url": "https://twitter.com/naisuan_eth", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/087cbec8ac12c6c7e11c75e896f3ea2ca70cc69a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 80234, "title": "⚡️ Brewit - Your AI analyst who answers your data questions in seconds", "tagline": "Chat with your data warehouse, generate dashboards and reports within minutes", "body": "# **TL;DR:**\n\n[Brewit](https://brewit.ai/?utm_source=yc_launch) helps companies build a business intelligence agent on top of their database and data knowledge. Regardless of their previous technical abilities, anyone can get their data questions answered with beautiful visualizations and insightful interpretations within seconds. Brewit will understand your data schema knowledge, write SQL, and generate the relevant charts behind the scene. It also self-improves as users provide more feedback. [Watch our demo video!](https://www.loom.com/share/f1d6ad7a8d1e4cab97a9fda0f7a6b1be?sid=8e6e0f14-69e0-4846-9761-7287d9c45d21)\n\n### **❌ The Problem**\n\n**Ad-hoc data questions are almost never answered on time:** A mid-sized data team can receive hundreds of data requests per week; on average, it takes 1-2 weeks for these questions to be answered. Not only does this slow down the decision-making process, but it can also derail the data teams from focusing on more meaningful projects.\n\n**Not everyone has the time to learn SQL and visualization tools:** It can take months for someone to master SQL or tools like Tableau, and without these skills, it is hard for someone to perform in-depth analysis or explore the database independently.\n\n**LLM can hallucinate without the relevant context:** Many people use ChatGPT's code interpreter to perform data analysis on specific business tables, but without having the full picture of the company's data schemas and knowledge (aka a semantic layer), ChatGPT often \"hallucinates\" with inaccurate answers. In addition, companies have no oversight of the questions being asked.\n\n### **✨ Our Solution**\n\n1\\. **Fine-tune** the LLM based on your data dictionary and metrics definitions. The agent will self-improve upon users' feedback and corrections\n\n![uploaded image](/media/?type=post&id=80234&key=user_uploads/557708/57721199-8881-4b54-a514-df2a0cf01770)\n\n2\\. Human-like **analytics** **agent** that can clarify your question, answer it with relevant visualizations, and help you to drill down to uncover more insights, all through natural language\n\n![uploaded image](/media/?type=post&id=80234&key=user_uploads/557708/b5ab39eb-f87b-41c6-9f31-704d71050c3a)\n\n3\\. Build **reports** with AI-generated insights\n\n![uploaded image](/media/?type=post&id=80234&key=user_uploads/557708/ab52f79c-13b6-400e-9931-e7fe2778cdb0)\n\n4\\. Save your charts into a **dashboard** and track your key metrics in one place\n\n![uploaded image](/media/?type=post&id=80234&key=user_uploads/557708/7c2a48ad-8ff0-407d-8ae5-76aca04df540)\n\n5\\. 🔒 Enterprise-level security: You can self-host Brewit in your environment, select your preferred LLM, and integrate with your favorite IM such as Slack\n\n### **🙏 Ask**\n\nWe're live with customers now! Feel free to book a [time](https://brewit.ai/contact) or email [leo@brewit.ai](mailto:leo@brewit.ai) to see a demo.\n\nGive Brewit a [try](https://app.brewit.ai/) - we've connected a demo database for you to play around with the app :)\n\nConnect us to data and analytics leaders in your network!", "url": "https://www.ycombinator.com/launches/Ks6-brewit-your-ai-analyst-who-answers-your-data-questions-in-seconds", "votes": 31, "created_at": "2024-04-17T03:54:55.149Z" } ] }, { "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 City, 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": null, "url": "https://www.ycombinator.com/companies/neptyne", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/neptyne.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/neptyne/", "x_url": "https://twitter.com/neptynehq", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/neptyne", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4bba48abf01450796ed84c6bb6dcb5adc2044c9a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 178715, "full_name": "Douwe Osinga", "title": "Founder", "founder_bio": "\"Solving hard problems using software that lead to real products used by lots of people\" Founder of 4 companies, ex-Google. Like travel and living in different countries.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/douweosinga", "x_url": "https://twitter.com/dosinga", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0943ece6f991641579b53b475690849ec09b5304.jpg" }, { "user_id": 1156805, "full_name": "Jack Amadeo", "title": "Founder", "founder_bio": "Jack is cofounder and CTO of Neptyne (W23), the programmable spreadsheet. Prior to Neptyne, Jack worked at Sidewalk Labs building generative design for cities, at Compass building the real estate platform for the 21st century, and at Bloomberg building communication systems.\n\nJack is a New England native who now lives in Brooklyn with his wife and son, and likes to sometimes run marathons.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/jackamadeo/", "x_url": "https://twitter.com/jackamadeo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/678b06fb3d4a690640113ec636d29969334e416c.jpg" } ], "jobs": [], "news": [ { "title": "Python Comes to Google Sheets - The New Stack", "url": "https://thenewstack.io/python-comes-to-google-sheets/", "date": "Oct 19, 2023" }, { "title": "Neptyne is building a Python-powered spreadsheet for data scientists | TechCrunch", "url": "https://techcrunch.com/2023/03/27/y-combinator-backed-neptyne-is-building-a-python-powered-spreadsheet-for-data-scientists/", "date": "Mar 27, 2023" } ], "launches": [ { "id": 70264, "title": "Neptyne - The spreadsheet reimagined for the AI era", "tagline": "Our Python-based spreadsheet is built from the ground-up for both human and AI collaboration, to go from raw data to useful insights and visualizations at lightning speed.", "body": "Hello everyone, we are Douwe and Jack, and we're the founders of [Neptyne](https://neptyne.com/). We’re on a mission to create the world's most productive data platform. We really like spreadsheets and love programming and our product combines the two in quite a literal sense.\n\nNeptyne provides a new approach to working with data that combines the ease of use of spreadsheets with the power of data science tools such as Pandas and notebooks. By leveraging AI, Neptyne makes this unified approach accessible to everyone, eliminating the limitations of spreadsheets and reducing the complexity of using advanced data tools.\n\n![uploaded image](/media/?type=post&id=70264&key=user_uploads/178715/71682cab-9b0c-47d9-a074-706623f8b2cd)\n\n**So how does this work?** Of course, you can ask the AI for simple things, like ‘add a profit column’ or ‘create a map showing where the customers are’. But it really shines when you ask the AI to change existing code. If you have a complicated calculator predicting revenue that takes into account four factors, ask it to add a fifth or change the weighting.\n\nOr let’s say you have a powerful, pandas-based pivot table that summarizes the data by product and region. With Neptyne, you can ask the AI to modify the pivot table calculation to include or exclude specific products or change the grouping criteria, such as by product category instead of an individual product. The calculations are updated in real-time, allowing you to quickly explore different options and gain new insights from the data.\n\nIt's like having a co-worker next to you who knows Python well and can help you write new code, change existing code or even explain what’s going on.\n\nIn order to learn about the appetite for a Python-based spreadsheet environment, we launched a version of Neptyne on Hacker News a few weeks ago without the AI-based features. Thousands tried the product, and from that audience, an enthusiastic group of power users emerged. They're using Neptyne to build financial trading applications, personal fitness tracking, and Twitter bot automation.\n\nCheck out [our launch post on Hacker News](https://news.ycombinator.com/item?id=34818706) for more discussion on Neptyne \n\n**Our ask:**\n\nTake 3 minutes to go through our tutorial and get inspired to build your next thing.", "url": "https://www.ycombinator.com/launches/IHI-neptyne-the-spreadsheet-reimagined-for-the-ai-era", "votes": 37, "created_at": "2023-03-14T14:49:06.460Z" } ] }, { "id": 27939, "name": "FactIQ", "slug": "factiq", "former_names": [ "Data Narratives", "Defog.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4eea8e74dd560d5b945e787263172d6a883e4e0a.png", "website": "https://factiq.com/", "all_locations": "Singapore, Singapore", "long_description": "FactIQ gives AI agents access to clean and trustworthy data for investment research.\r\n\r\nWe source, clean and standardize data from company financials, market prices, economic series and satellite imagery. We make it absurdly obvious for any AI agent to accurately query this data. We currently have 100M+ data series covering US and Asia, and are adding new data every day. ", "one_liner": "Investment research data for AI agents", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1672890387, "tags": [ "Investing", "Data Visualization", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "regions": [ "Singapore", "Southeast Asia", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/factiq", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/factiq.json", "year_founded": 2023, "city": "Singapore", "country": "SG", "linkedin_url": "https://www.linkedin.com/company/fact-iq", "x_url": "https://x.com/tryfactiq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4eea8e74dd560d5b945e787263172d6a883e4e0a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 218578, "full_name": "Rishabh Srivastava", "title": "Founder", "founder_bio": "ML developer. Previously bootstrapped data APIs co to 100M+ monthly end users. I blog at rish.blog and am fairly active on Twitter (@rishdotblog)", "is_active": true, "linkedin_url": "https://linkedin.com/in/rishsriv", "x_url": "https://twitter.com/rishdotblog", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/da382fe67f5b879cd48e2b87d121703505e0db99.jpg" }, { "user_id": 1153841, "full_name": "Medha Basu", "title": "Founder", "founder_bio": "Co-Founder of Defog.ai. Former journalist/editor/content marketing person. Grew an enterprise content marketing firm from $0 to 7 figures in yearly revenue. Once interviewed a terrorist. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/medha-basu/", "x_url": "http://twitter.com/medha_basu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/758a7af2b0a8db506432903862bd9d289acd87ea.jpg" } ], "jobs": [], "news": [ { "title": "How enterprises are using open source LLMs: 16 examples | VentureBeat", "url": "https://venturebeat.com/ai/how-enterprises-are-using-open-source-llms-16-examples/", "date": "Jan 29, 2024" }, { "title": "Tech in Asia - Connecting Asia's startup ecosystem", "url": "https://www.techinasia.com/exclusive-combinator-leads-22m-sgbased-ai-analytics-firm", "date": "Nov 22, 2023" } ], "launches": [ { "id": 68202, "title": "Defog.ai - ChatGPT for data, embedded in your app", "tagline": "Embed insights widgets in your apps and let users ask questions in natural language.", "body": "Hey there! We’re [Medha](https://www.linkedin.com/in/medha-basu/) and [Rishabh](http://twitter.com/rishdotblog) from [Defog.ai](http://defog.ai/).\n\n### **TL;DR**\n\nDefog embeds in your app and lets your users query data in seconds, using everyday language. It’s like ChatGPT for data - right within your app. [**Sign up**](http://defog.ai/) **to get early access.** Or give it a try at [defog.ai/ask](http://defog.ai/ask).\n\n### **😤 The problem**\n\nInsights features within apps take a long time to build and get right.\n\nThis is because SaaS founders and product managers spend most of their time on improving their core product. Insights features are rarely top-of-mind, even though they increase user stickiness.\n\nMost teams tell themselves that they will eventually get to it. But they rarely do. The result is a hastily-built dashboard that provides limited insights to users.\n\n### 🎉 **Our solution**\n\nWe make it super easy to let your users ask questions in natural language and instantly get data and insights on your app.\n\n![uploaded image](/media/?type=post&id=68202&key=user_uploads/1153841/bd2e56ef-b1f8-4d38-b02a-1c851549def9)\n\nDefog embeds an intuitive Q&A-style interface for analytics in your app, and lets users query data in seconds.\n\nSome examples of how companies can use Defog:\n\n* Fintech companies could provide deep insights based on users’ transaction history.\n* Video meeting tools could extract common complaints across customer calls and make them easy to discover.\n* Social media platforms could replace generic analytics dashboards with more specific metrics.\n\n### **🪄 How it works**\n\n1. Give us the metadata of your database schema (if using SQL), or just unstructured data corpuses (if using APIs or text corpuses)\n2. Add our iframe or Javascript plugin to your app\n3. (optional) set up visual styling for how charts should look on our app\n4. Let your users ask questions of the data, and get insights in seconds\n\nWe’re powered by large language models that can search and visualise both structured data (like SQL databases or data warehouses) and unstructured data (like text in call transcripts).\n\nPS: We don’t compromise on privacy 🔐 Our model only needs access to your database schema to work, and not actual data about your customers.\n\n### **⚡ Our asks**\n\n* [Get early access](http://defog.ai/): Sign up to get early access if you’d like to embed Defog in your app\n* [Take it for a spin](http://defog.ai/csv): Ask Defog questions on your own datasets - or one of our pre-selected ones\n* [Share your feedback](https://defog.ai/contact/): If you have questions or feedback, we’d love to hear from you. Email us at founders\\[at\\]defog.ai or reach out to us on [Twitter](https://twitter.com/defogdata) or [LinkedIn](https://www.linkedin.com/company/defog-ai/).", "url": "https://www.ycombinator.com/launches/Hk2-defog-ai-chatgpt-for-data-embedded-in-your-app", "votes": 36, "created_at": "2023-01-05T06:17:24.307Z" } ] }, { "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": null, "url": "https://www.ycombinator.com/companies/tremor", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/tremor.json", "year_founded": 2023, "city": "Zug", "country": "CH", "linkedin_url": "https://www.linkedin.com/company/tremor-so", "x_url": "https://twitter.com/tremorlabs", "fb_url": null, "cb_url": null, "github_url": "https://github.com/tremorlabs/tremor", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/182c66523823a79a77fe5fb67f2c30f66c4f25e3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1330050, "full_name": "Severin Landolt", "title": "Founder", "founder_bio": "Co-founder of Tremor. I previously worked as Data Scientist at Accenture, where I developed dashboards for 3 years. I love open-source (16K Stars on GitHub) and designing analytical interfaces.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/b6b682ce450f9e1c8717c24cdb1c988a3ac717b6cbe6e1373a177119a742a434/", "x_url": "https://twitter.com/severinlandolt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6a1bf24275c51c3975ba1d65d2c563a1712b2310.jpg" }, { "user_id": 1325352, "full_name": "Christopher Kindl", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://linkedin.com/in/kindl", "x_url": "https://twitter.com/kindlaar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/22deb0499a4a88ccf022b508bc00f4d55a42500b.jpg" } ], "jobs": [], "news": [ { "title": "Vercel acquires Tremor to invest in open source React components - Vercel", "url": "https://vercel.com/blog/vercel-acquires-tremor", "date": "Feb 04, 2025" } ], "launches": [ { "id": 73762, "title": "Tremor – Webflow for dashboards", "tagline": "Platform to connect data sources and build customer-facing analytics", "body": "![uploaded image](/media/?type=post&id=73762&key=user_uploads/1325352/d762639d-84c1-4c4b-bf46-b418b05b3b9e)\n\nHey everyone, we are [Severin](https://www.linkedin.com/in/b6b682ce450f9e1c8717c24cdb1c988a3ac717b6cbe6e1373a177119a742a434/), [Chris](https://www.linkedin.com/in/kindl/), and [Achilleas](https://www.linkedin.com/in/achilleas-mitrotasios/). Tremor started as an open-source UI library to create dashboards, which grew to more than 10K Github stars in less than 10 months. This is where we discovered how many people need to build consumer-friendly dashboards but lack the resources to do so.\n\n**Problem**\n\nAlmost every SaaS requires visualizing data for their end-users. However, creating customer-facing dashboards from scratch requires a significant effort for both engineering and design teams.\n\nTherefore, many companies cannot afford to invest resources into building a visualization layer, especially when analytics is not part of the core product. Often, this results in an underwhelming user experience and additional revenue left on the table.\n\n**Solution**\n\nThe Tremor Platform is a visual dashboard builder made for developers. It allows users to connect to data sources, create dashboards with an easy-to-use interface, and embed them as a performant, white-labeled analytics layer into existing apps. For example, a bank could deploy a dashboard that visualizes spending to their customer portal, in days instead of months.\n\n**Meet the team**\n\nSeverin, Achi and Chris (left to right) know each other since university. Severin and Chris worked at Accenture for 3+ years, building dashboards for Fortune 500 companies. Achilleas previously worked as a software engineer at Bloomberg. They started Tremor as a side project next to their full-time jobs as they could not find a satisfying solution for visualizing data on websites.\n\n![uploaded image](/media/?type=post&id=73762&key=user_uploads/1325352/5c357073-2dae-464c-aabb-797a21d16fb3)\n\n**Our** **Ask**\n\n1. Sign up on our waitlist at [platform.tremor.so](https://platform.tremor.so)\n2. We love to partner with early customers to evaluate their use cases and optimize our platform to their industry-specific needs. If you are a company looking to leverage your dashboard capabilities, shoot us an email at [hello@tremor.so](mailto:hello@tremor.so).", "url": "https://www.ycombinator.com/launches/JBi-tremor-webflow-for-dashboards", "votes": 47, "created_at": "2023-08-03T16:11:04.493Z" } ] }, { "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": null, "url": "https://www.ycombinator.com/companies/zelos-cloud", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/zelos-cloud.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/zeloscloud/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/afc3d576d23341fe3b3be62748770b0756c79dcc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1264582, "full_name": "Michael Jaradah", "title": "Founder", "founder_bio": "Co-Founder @ Zelos Cloud. Former Tesla Energy Firmware lead. Experienced across domains like embedded, networking, safety systems and validation infrastructure.\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michaeljaradah/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/231fc91e47724ca63cb3dd02fa271f6a6ac6cb0d.jpg" }, { "user_id": 1265862, "full_name": "Taylor Keairns", "title": "Founder", "founder_bio": "Co-Founder @ Zelos Cloud. Former Tesla Energy Firmware/Software lead. Specialized in system programming for embedded Linux and RTOS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/taylor-keairns-872063125/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7c8cf19c0e1882975d641a95311761b2268b2cd5.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "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": null, "url": "https://www.ycombinator.com/companies/briefer", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/briefer.json", "year_founded": 2022, "city": "São Paulo", "country": "BR", "linkedin_url": "https://www.linkedin.com/company/briefercloud/", "x_url": "https://twitter.com/briefercloud", "fb_url": null, "cb_url": null, "github_url": "https://github.com/briefercloud", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1e589854f66150c916444527d7f4aa314d3961ed.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 578593, "full_name": "Lucas da Costa", "title": "Founder", "founder_bio": "I'm the founder and CEO at Briefer. Previously, I worked as a senior software engineer at Elastic and led software engineering teams at an early-stage startup in London.\n\nI used to maintain large OSS projects like Chai.js and Sinon.js and contributed to many others, including Jest.\n\nAs an author, I wrote \"Testing JavaScript Applications,\" published by Manning. I've also spoken in more than ten countries, and my content has been voluntarily translated into more than seven languages.", "is_active": false, "linkedin_url": "https://linkedin.com/in/lucasfdacosta", "x_url": "https://twitter.com/thewizardlucas", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3c67c3654b38517081d8943217dd52f520daa16d.jpg" }, { "user_id": 1372900, "full_name": "Lucas Vieira", "title": "Founder", "founder_bio": "Lucas, is a software engineer and open-source enthusiast with a decade of experience, actively contributes to numerous open source projects. He used to maintain Chai.js, a popular JavaScript testing framework with 7.8k+ GitHub stars. As the former Head of Technology at Joga, he built a product from scratch, used by thousands in dozens of countries. Now, Lucas is the CTO of Ergomake, developing a product for developers to deploy preview environments for any stack.", "is_active": false, "linkedin_url": "https://linkedin.com/in/lucas-vieira-1ba001a4", "x_url": "https://twitter.com/commadangle", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4b304961c58125ab235255d85217abb378470ab1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 88718, "title": "❇️ Briefer Agent: your AI data analyst, built into a powerful data workspace", "tagline": "Briefer's agent helps anyone on your team turn data into clear and instant insights.", "body": "Hey YC! I'm Lucas, founder of Briefer: a data workspace for notebooks and dashboards.\n\n**✨ Today, we're launching the Briefer Agent: an AI analyst that helps anyone on your team turn data into clear and instant insights ✨**\n\n\n\nFor the past year, we've been building a powerful data workspace to help thousands of technical users uncover deep insights they wouldn't otherwise have. Many of these people use Briefer every day and get a lot of value out of it thanks to features like Python support, point-and-click visualizations, scheduling, and turning query results into data frames automatically.\n\n**Now, we're bringing Briefer's magic to _everyone_.** Whenever _anyone_ on your team has a question, they can ask our AI analyst, and it'll use Briefer to get them an answer.\n\n‎\n\n---\n\n# **⭐ It's not just another text-to-SQL chatbot**\n\n**Our AI analyst is _not_ just another “text-to-SQL” chatbot that spits out random graphs.** Instead, it's an intelligent agent that operates Briefer's powerful data workspace to generate answers that are precise and reviewable.\n\nOur agent can do anything a human analyst does in Briefer: write SQL, plot graphs, and even run Python for data manipulation and advanced analyses.\n\n‎\n\n---\n\n# **🤝 Especial things the Briefer Agent can do**\n\n* **🏦 Handle business-specific context.** If you have business-specific context you'd like to explain to the agent, you can easily add it to help the agent better understand your data and goals.\n* ☁️ **Connect to all the most popular data sources.** Briefer connects to all the most popular data sources, including Postgres, BigQuery, Redshift, Athena, Snowflake, MySQL, and others. The agent can use those data sources too.\n* **📄 Analyze CSV, XLS, and Parquet files.** If you have a CSV or Excel file, you can also upload it and ask for the Briefer agent to analyze it for you. That'll be easy because the agent knows how to use Briefer's DuckDB integration to query that file too.\n* 🎈**Run on your own infrastructure.** You can fully self-host Briefer's enterprise version and use your own Bedrock or Vertex services to power the agent. Therefore, all your data remains on your cloud, _always_.\n\n‎\n\n---\n\n# **➡️ How can I try the agent?**\n\nTo try out Briefer's agent, [book a call using this link](https://calendly.com/lucasfcosta/briefer-intro) and we'll help you get started ASAP.\n\nIf you have questions, feel free to email us, the founders, directly at [founders@briefer.cloud](mailto:founders@briefer.cloud).", "url": "https://www.ycombinator.com/launches/N4w-briefer-agent-your-ai-data-analyst-built-into-a-powerful-data-workspace", "votes": 27, "created_at": "2025-03-17T19:16:57.634Z" }, { "id": 83864, "title": "❇️ Briefer: Python notebooks and dashboards in one place (now open-source)", "tagline": "Create Python notebooks that look like Notion, and publish them as reports or dashboards.", "body": "⭐ Today, we're launching [Briefer's open-source offering](https://github.com/briefercloud/briefer).\n\n**Briefer is like Notion for code notebooks and dashboards. It gives technical users all the flexibility they need to publish dashboards, analyze data, create reports, and build data apps. At the same time, Briefer makes it easy for non-technical users to view and interact with data.**\n\n![](https://i.imgur.com/EYLk7xK.gif)\n\nIn Briefer, you can:\n\n* 📚📊 **Create notebooks and dashboards** using Markdown, Python, SQL, and native visualizations.\n* 🤳 **Build interactive data apps** using inputs, dropdowns, and date pickers.\n* 🤖 **Generate code and queries** using an AI that understands your database schema and your notebook's context.\n* 🕰️ **Schedule notebooks and dashboards** to run and update periodically.\n* ⚙️ **Create and test ad-hoc pipelines** using writebacks.\n\nIn addition to all that, Briefer is also multiplayer, meaning two or more people can work on the same notebook or dashboard simultaneously and see each other's changes in real time.\n\nFrom today, you can use Briefer for free on your machine or deploy it to your own infrastructure so that your whole team can use it and eliminate your data silos.\n\n \n\n### **🍱 What's included in the open-source offering?**\n\n![uploaded image](/media/?type=post&id=83864&key=user_uploads/578593/fdaa030e-0bad-43d6-a35f-e96332f951a6)\n\nBriefer's open-source offering includes everything you need to build notebooks and dashboards, including Markdown, SQL, Python, point-and-click visualizations, scheduled runs, writebacks, and more.\n\nAlso, given you'll be running Briefer on your own machines, there's no limit on how many users you can invite, how much memory and compute you can give to your notebooks, and how many pages you can schedule.\n\nThe only things that are _not_ in Briefer's open-source offering are PDF exports, granular permissions, and email and Slack integrations. These are available in the paid version of Briefer, for which you can sign up [here](https://briefer.cloud).\n\n \n\n### **🤔 Why open-source?**\n\nWe want people to have zero barriers to using Briefer, and we believe that making it open-source is the best way to achieve that.\n\nBy making Briefer open-source, we're giving you the freedom to run it on your own infrastructure, customize it to your needs, and contribute to its development.\n\nFurthermore, given Briefer will be running on your own machines, you don't have to worry about your data being stored in a third-party service. You have full control over your data.\n\nIf you want an in-depth explanation of our open-source strategy, [you can read it here](https://briefer.cloud/blog/posts/open-source-strategy).\n\n \n\n### **✨ How do I get started?**\n\n**➡️ You can get started by following the instructions in our **[**GitHub repository**](https://github.com/briefercloud/briefer)**. While you're there, please don't forget to give us a star ⭐.**\n\nIf you have any questions, please send me an email at [lucas.costa@briefer.cloud](mailto:lucas.costa@briefer.cloud). I respond to every email I receive from users.\n\nIn case you need help deploying Briefer or just want to talk directly to me, please [book a time here](https://calendly.com/lucasfcosta/briefer-intro-call).", "url": "https://www.ycombinator.com/launches/Loe-briefer-python-notebooks-and-dashboards-in-one-place-now-open-source", "votes": 28, "created_at": "2024-09-09T17:05:36.669Z" }, { "id": 80177, "title": "❇️ Briefer: Jupyter Notebooks and data apps in the cloud - and it looks like Notion!", "tagline": "Create and share beautiful analyses, visualizations, and data apps", "body": "\\*\\*TL;DR: If you're using Jupyter Notebooks or have ad-hoc scripts and data apps, you should consider switching to [**Briefer**](https://briefer.cloud) ❇️. Briefer works like Jupyter Notebooks, but it runs in the cloud and is as pretty and intuitive as Notion. It allows you to create beautiful and in-depth analyses, visualizations, and data apps.\\*\\*\\\n—\n\nHi, we're Lucas da Costa and Lucas Vieira (the Lucas²), founders of Briefer.\n\nWe've built Briefer to help data scientists create analyses, visualizations, and data apps and share their work with others — including non-technical people!\n\n![uploaded image](/media/?type=post&id=80177&key=user_uploads/578593/d4956051-0462-4492-b4f7-512a2652739a)\n\n[**🎬 Here's a demo 📹**](https://www.loom.com/share/f5658419cd154958862de41f1ea328c8?sid=685856a5-d188-4c53-baf3-51084ef3d141)\n\nYou can use Briefer instead of writing messy notebooks, building unmanageable ad-hoc scripts, wrangling with SQL in limited BI tools, or going through the hassle of setting up the infrastructure for a data app.\n\n# \n\n# **⭐ Briefer is better than Jupyter or ad-hoc solutions because:**\n\n* 💅 It looks way better and is 1000x easier to use — non-technical stakeholders will love it too.\n* 🤗 It's easy to share — just copy a link, no need to install dependencies or pull a git repo.\n* 💾 You can run SQL and Python in the same place — All SQL queries can be used as Pandas data-frames straightaway. No need to write custom wrapper libraries.\n* 🖥️ It's interactive — you can use text fields or dropdowns for viewers to provide input to your pages.\n* ⚡No Memory or GPUs? No problem — we can get you more powerful machines if you need them.\n* 👯 Real-time collaboration — you can see what others are doing if you're editing the same document, just like Google Drive.\n\n# **⭐ Get started now ✨**\n\n[**➡️ Click here to book an intro call if you want to get started with Briefer ⭐**](https://calendly.com/lucasfcosta/briefer-intro-call)\n\nWe move fast and we prioritize making customers happy over everything else - and we can help you build your first analyses and data apps. So, as a small team, there's a limited number of people we can onboard at a time - **make sure to book a call as soon as possible to ensure we'll get you a spot.**\n\nIf you have any other questions or comments, please email us at [founders@briefer.cloud](mailto:founders@briefer.cloud).", "url": "https://www.ycombinator.com/launches/KrB-briefer-jupyter-notebooks-and-data-apps-in-the-cloud-and-it-looks-like-notion", "votes": 73, "created_at": "2024-04-15T17:39:24.496Z" }, { "id": 73177, "title": "🧚 Ergomake - Deploy a staging environment for every pull request", "tagline": "Whenever engineers push changes, we deploy their entire application and send them a link.", "body": "**TL;DR Ergomake creates a staging environment for each pull request. Every time an engineer pushes changes, we deploy their entire application and send them a link to see it. Our customers use Ergomake for QA, product, and design reviews before any code gets merged.**\n\nHey everyone! We're Lucas and Lucas (yes, Lucas²), the founders of [Ergomake](https://ergomake.dev).\n\n![uploaded image](/media/?type=post&id=73177&key=user_uploads/578593/67fb36be-2271-4b94-8403-f3f1c9bf4612)\n\n**Ergomake creates a new staging environment every time engineers push changes**, making reviews much quicker and easier and helping teams avoid shipping broken changes.\n\n## ❌ The problem: staging is a bottleneck.\n\nEngineers must ship code to a staging environment whenever they need feedback from QAs, designers, and product managers.\n\nThe problem with this approach is that **teams usually have only one staging environment**. Therefore, **engineers scramble to see who will use staging or end up merging changes before anyone else sees them**.\n\n![uploaded image](/media/?type=post&id=73177&key=user_uploads/578593/0d929f46-4a46-425d-86e8-458fc4843816)\n\n**Consequently, teams slow down, applications break, or undesirable code gets shipped**.\n\nWhen that happens, engineers rush to fix the broken code already merged. For that, they must go through the whole review process again, which is a massive waste of time and money.\n\n## 💡 The solution: everyone gets their own staging.\n\nWith Ergomake, every change gets deployed to a new staging environment.\n\n![uploaded image](/media/?type=post&id=73177&key=user_uploads/578593/dc0ff32d-60c5-46d1-a759-b875aaaaea15)\n\nThat way, engineers can get input from the rest of their team without queueing to use staging.\n\nAdditionally, by getting reviews _before_ deploying code, teams avoid merging all sorts of undesirable changes. Consequently, they avoid bugs and reduce rework by keeping `main` always working.\n\nWith Ergomake, teams can merge straight into `main` because they do all their manual testing and validations within their pull requests. Therefore, these teams avoid complicated branching strategies and painful integration cycles.\n\n![uploaded image](/media/?type=post&id=73177&key=user_uploads/578593/9b319d08-4e0e-4239-9786-f5cc9373d979)\n\n## ⚙️ How does it work?\n\nErgomake integrates with GitHub and gets notified whenever someone opens a pull request.\n\nWhen that happens, Ergomake uses the `docker-compose.yaml` file within the repository to deploy your application on our infrastructure.\n\nOnce Ergomake has spun everything up, it adds a comment to the pull request containing the link to test your application.\n\nOur previews can include databases, and they support all types of projects, including those spread across multiple repos.\n\n## ➡️ The ask: sign-up now (there's a free tier)\n\n**You can sign-up for Ergomake at **[**app.ergomake.dev**](https://app.ergomake.dev)**.** There, you'll be able to configure previews for any repositories you want for free.\n\n**If you prefer, we're happy to do all the integration for you or hop on a call and guide you through the process**. If you think that could be helpful, [book an intro call here](https://calendly.com/lucasfcosta/ergomake-15-minutes).\n\nFor anything else, [we're also on Discord](https://discord.gg/daGzchUGDt).", "url": "https://www.ycombinator.com/launches/J2H-ergomake-deploy-a-staging-environment-for-every-pull-request", "votes": 85, "created_at": "2023-07-18T15:59:24.172Z" } ] }, { "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": [ "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": null, "url": "https://www.ycombinator.com/companies/vizly", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/vizly.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/squaredtechnologiesinc/", "x_url": "https://twitter.com/vizlyhq", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/vizly", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ba0d44f6e33397a7932f4616c99d34e64aaaa42c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 634427, "full_name": "Ali Shobeiri", "title": "Founder", "founder_bio": "I was previously a Machine Learning Engineer at Apple owning people based recommendations across devices. Before that, I was a ML Research Intern at Unity and a Software Engineer at Microsoft. ", "is_active": false, "linkedin_url": "https://linkedin.com/in/ali-shobeiri", "x_url": "https://twitter.com/Ali_Shobeiri", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f3b1d98183acd018ae32e0841391237a80219434.jpg" }, { "user_id": 635591, "full_name": "Sami Sahnoune", "title": "Founder", "founder_bio": "Before Vizly, Sami built mission-critical data systems at NASA's Jet Propulsion Laboratory, architected widely-used data visualization libraries at Splunk, and worked at Plotly, a leading data visualization company with over 500 million open-source downloads. His work has consistently pushed the boundaries of data visualization and analysis, benefiting thousands of users worldwide.", "is_active": false, "linkedin_url": "https://linkedin.com/in/samisahnoune", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2bb513e0ff0b55132c5db0962ac5fcd9ccac7e6c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 74490, "title": "Vizly – Chat with your data", "tagline": "Query your data using natural language", "body": "### TL;DR - Explore your Data by Asking Questions, No External APIs Required\n\nBuilt by Apple and NASA engineers, [Vizly](https://www.vizly.fyi/) is an on-premises, AI-powered data analysis tool that allows users to perform data tasks using plain English. Instead of learning complicated BI tools, customers and enterprises can use Vizly to get AI-powered data analysis, without exposing any of their sensitive data to unsecure external APIs.\n\n### **The Problem**\n\nBI tools are complicated and have a steep learning curve to use. Despite enterprises shifting to data-centric cultures, the adoption rate of BI tools in enterprise has remained at **only 15%** \\[1\\]. With more people wanting to access data, existing BI tools have not kept up. This has left data teams to pick up the slack with analysts often spending large portions of their day fighting a barrage of data questions.\n\n### **Our Solution**\n\nWith [Vizly](https://www.vizly.fyi/), we are building a dead simple BI tool that runs fully on-premises and allows anyone to perform their data tasks using plain English. Instead of needing expensive hardware to run, a Vizly instance is both powerful enough and small enough to run even on a single MacBook.\n\nA single employee can set up Vizly on their machine by simply selecting the data sources and sharing a link with their non-technical colleagues. With just a link, anyone in the enterprise can explore the shared data sources using plain English. It operates securely behind the firewall, ensuring no data ever leaves the enterprise network.\n\n# Vizly\n\nTry it out [here](https://www.vizly.fyi/).\n\n![uploaded image](/media/?type=post&id=74490&key=user_uploads/634427/7bafc4a8-fe78-4f8d-9449-78279f199001)\n\nVizly makes data analysis as easy as asking a question.\n\n# **The Team**\n\nSami and I met at McGill University and have been friends for almost a decade. We previously built and sold [YouTube Party](https://chrome.google.com/webstore/detail/youtube-party/ngmncgebkdchkdokiecifpmodajbaopj) together, a project that gained over 300K weekly active users.\n\nNow we are using our expertise from NASA and Apple to build the next generation of enterprise BI tools.\n\nPlotly HQ in Montreal, 2019:\n\n![uploaded image](/media/?type=post&id=74490&key=user_uploads/634427/824a70b3-f7ba-49b2-9684-ed49da20e004)\n\nSan Francisco, 2023:\n\n![uploaded image](/media/?type=post&id=74490&key=user_uploads/634427/590d583a-6941-44f3-bb50-d27ea6171095)\n\nHere’s a little about the team (from left to right):\n\n[Sami](https://www.linkedin.com/in/samisahnoune/): Implemented data visualization libraries at Splunk and previously built critical data visualization systems at NASA Jet Propulsion Laboratory, enabling the Mars Perseverance Rover in its mission of drilling samples from Martian terrain. Previous experience at Plotly, building one of the most widely downloaded low-code data tools.\n\n[Ali](https://www.linkedin.com/in/ali-shobeiri/): Machine learning engineer at Apple, building out people-based recommendations. If you’ve ever shared a photo on your iPhone, or done autocomplete searches, you used a model Ali deployed. Previous experience at Plotly, Microsoft, and Unity Research.\n\n# **Our Ask**\n\n* Give Vizly a try at [vizly.fyi](https://www.vizly.fyi/)\n* Get in touch to tell us about your data needs at [ali@vizlylabs.com](mailto:ali@vizlylabs.com)\n* [Schedule a time to chat](https://cal.com/vizly/30min)\n\nLet us know what you think! Feel free to reach out to [founders@vizlylabs.com](mailto:founders@vizlylabs.com) anytime!\n\n\\[1\\] - ", "url": "https://www.ycombinator.com/launches/JNS-vizly-chat-with-your-data", "votes": 39, "created_at": "2023-08-29T21:41:30.414Z" } ] }, { "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": [ "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": null, "url": "https://www.ycombinator.com/companies/pandasai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/pandasai.json", "year_founded": 2023, "city": "Munich", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/pandasai/", "x_url": "https://twitter.com/ai_pandas", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/pandasai", "github_url": "https://github.com/gventuri/pandas-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6eea04f473e3424dc0c2177031cb6829296ee867.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1150789, "full_name": "Gabriele Venturi", "title": "Founder/CEO", "founder_bio": "Gabriele is the Founder and CEO of PandasAI. In April 2023, he launched PandasAI, a open source library to facilitate data analysis and data science, thereby empowering people with varying levels of technical expertise to analyze data effectively.", "is_active": true, "linkedin_url": "https://linkedin.com/in/gabriele-venturi", "x_url": "https://twitter.com/lele_venturi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/26484230c07d7922fa4816e64923844f91f097a9.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "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": null, "url": "https://www.ycombinator.com/companies/metofico", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/metofico.json", "year_founded": 2021, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/31390857/admin/inbox/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9fad9edec40c2dac0c3cfb3743f5450804f2ada1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1579715, "full_name": "Mehdi Boudjadja", "title": "Founder/CEO", "founder_bio": "Neuroscientist and CEO of Metofico", "is_active": true, "linkedin_url": "https://linkedin.com/in/mehdi-boutagouga-boudjadja-ph-d-553003138", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/35447ebe58a029b7c9c308575029eb5afc769a65.jpg" }, { "user_id": 1634457, "full_name": "Salah Boudjadja", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Metofico ltd.\nI really enjoy creating solutions for data science and analysis since I obtained my Master's degree in programming, computer vision and signal processing at the University of Paris Est.\nMy passion for digital art also allows me to create Metofico's graphic designs.", "is_active": true, "linkedin_url": "https://fr.linkedin.com/in/salah-boudjadja-42a05a19b", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/55e10aa93f3c0834a7d0de95eebbbbe631f7f315.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 79483, "title": "Metofico - No-code data analysis for life science research", "tagline": "We make it easy for life scientists to process large and complex data within minutes instead of weeks or months", "body": "Hello everyone, we are Mehdi and Salah, the co-founders of [Metofico](https://www.metofico.com/), and we are on a mission to simplify the analysis of complex and large data sets produced by life science research and save researchers months of work.\n\n![uploaded image](/media/?type=post&id=79483&key=user_uploads/1579715/fd599206-68e4-44cb-82b3-7478fb7d4627)\n\n_From left to right:_\n\n[Salah:](https://www.linkedin.com/in/salah-boudjadja-42a05a19b/) MSc in Data Science, Image Processing, and AI; Salah is passionate about making no-code and intuitive tools for science to extract as many insights as possible in the least amount of time.\n\n[Mehdi:](https://www.linkedin.com/in/mehdi-boutagouga-boudjadja-ph-d-553003138/) PhD in Circuit Neuroscience; Mehdi has seen many researchers struggle to analyse Gigabytes of data in Excel and missing opportunities for scientific breakthroughs. He has developed tools to make these analyses simple, and these tools are now Metofico.\n\n**The Problem: Data analysis complexity hampers life scientists, slowing down research.**\n\nThe volume and complexity of data generated by modern life science research are overwhelming. Traditional tools like Excel, once the go-to for researchers, now fall short when faced with gigabytes or terabytes of data. Moreover, most life scientists cannot program or do advanced data science, so they are stuck.\n\n**Our Solution: A no-code, intuitive SaaS platform designed specifically for life science research**\n\nOur platform transforms the way life scientists handle and analyse data, making processes that used to take weeks or months achievable in just minutes. Whether it's video tracking of rodents, fiber photometry, or any other data-intensive research, Metofico makes it simple and fast, with no programming knowledge required.\n\n![uploaded image](/media/?type=post&id=79483&key=user_uploads/1579715/b1b25a9c-9115-4d58-96fc-b2945d58647c)\n\nExample of automated segmentation of rodents using our AI\n\n**Demo:**\n\n\n\nExample of brain activity analysis using our fiber photometry analyzer\n\n**Our Ask:**\n\nWe're seeking forward-thinking life science researchers and institutions interested in streamlining their data analysis processes. If you're ready to cut down months of work to just minutes, we'd love to get in touch. Whether it's for feedback, potential partnerships, or just to say hello, your insights are invaluable to us as we strive to make Metofico even better.\n\nContact us at [info@metofico.com](https://mailto:info@metofico.com)", "url": "https://www.ycombinator.com/launches/Kfz-metofico-no-code-data-analysis-for-life-science-research", "votes": 15, "created_at": "2024-03-18T22:34:05.805Z" } ] }, { "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": null, "url": "https://www.ycombinator.com/companies/aftercare", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/aftercare.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getaftercare/", "x_url": "https://x.com/getaftercare", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/24db1f3b2c957bd0e1551d1e58afec1ea05426a4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7ddff8fcfe2699475b59caf10324d3e0197b68f2.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1355492, "full_name": "Aidan Lee", "title": "Founder/CEO", "founder_bio": "Co-founder of Aftercare\nex-Growth Strategy at Datadog, Investment Banking at Barclays. \nNYU Stern '20", "is_active": true, "linkedin_url": "https://linkedin.com/in/aidan-cj-lee", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2a16d094a0c5f72891773fa771dfb6058482687a.jpg" }, { "user_id": 410854, "full_name": "Justin May", "title": "Founder/CPO", "founder_bio": "Co-Founder at Aftercare\n\nex-Senior Software engineer at Palantir, Nextdoor | Rutgers '20", "is_active": true, "linkedin_url": "https://linkedin.com/in/justinseanmay", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3e0adc2a744e4ed7881b5a46d3d220a23afdd809.jpg" }, { "user_id": 1038226, "full_name": "Anand Nanduri", "title": "Founder/CTO", "founder_bio": "Co-Founder at Aftercare | ex-Senior Software engineer at Affirm | Yale '20", "is_active": true, "linkedin_url": "https://linkedin.com/in/anand-nanduri", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c4913711c04ef3177a87e657b66fe558f1762724.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85495, "title": "Aftercare: Conversational AI surveys with intelligent follow-up questions", "tagline": "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.", "body": "Hey everyone! We’re [Anand](https://www.linkedin.com/in/anand-nanduri/), [Justin](https://www.linkedin.com/in/justinseanmay/), and [Aidan](https://www.linkedin.com/in/aidan-cj-lee/), co-founders of [Aftercare](https://www.getaftercare.com/).\n\n**TL;DR:** We’re building a generalizable survey tool that uses intelligent AI follow-up questions to gather better insights.\n\n## **🔭 How we got here**\n\nWhile we were building an eCommerce post-purchase survey platform, one of the most valuable features for our customers was using AI to ask follow-up questions to dig into survey responses and uncover deeper insights—almost like having an interviewer ask good questions live for every survey. We realized this powerful feature could be applied to all surveys, so expanded the survey platform so anyone could use it.\n\n![uploaded image](/media/?type=post&id=85495&key=user_uploads/1355492/f34a1950-734e-4956-b96d-4232807f1ff0)\n\n## **🧐 Problem**\n\n* Traditional surveys can’t react to respondent answers and ask follow-up questions, leaving behind incredibly valuable insights. Often, the first response to an open-ended question does not tell the whole story.\n* Good open-ended feedback is incredibly useful, but difficult to view in a structured format, especially when you have many responses. If you’ve ever used Google Forms, open-ended responses are presented as a data dump.\n\n## **🚀 Our Solution**\n\n* Easily create surveys, and turn on AI follow-up questions for any topic you want to dig into - Aftercare will ask intelligent follow-up questions automatically.\n* AI summaries surface key information from your responses automatically, and open-ended responses are categorized into data visualizations of your choice.\n\n## **Team**\n\nWe’ve been friends for 18 years and have deep engineering and ops experience at companies like Palantir, Datadog, Affirm, and Nextdoor.\n\n![uploaded image](/media/?type=post&id=85495&key=user_uploads/1355492/8ec74a7b-6c3e-4840-88fa-480c4d9af138)\n\n## **Our ask**\n\n* Try it out, we’d love to hear your honest feedback!\n* If you have a generalized survey use case (surveying customers, your employees, etc) I’d love to learn more about it over a quick chat: \n* If you know anyone running a survey, tell them to try [www.getaftercare.com](http://www.getaftercare.com) 🙂", "url": "https://www.ycombinator.com/launches/MEx-aftercare-conversational-ai-surveys-with-intelligent-follow-up-questions", "votes": 21, "created_at": "2024-11-12T18:49:41.643Z" }, { "id": 82218, "title": "Aftercare - Conversational post-purchase surveys using AI", "tagline": "Conversational post-purchase surveys using AI. Open-ended text, voice, and SMS surveys for eCommerce.", "body": "Hey everyone! We’re [Anand](https://www.linkedin.com/in/anand-nanduri/), [Justin](https://www.linkedin.com/in/justinseanmay/), and [Aidan](https://www.linkedin.com/in/aidan-cj-lee/), previously co-founders of Kontractify, coming back as [Aftercare](https://www.linkedin.com/company/aftercarecompany/).\n\n**TL;DR:** We help eCommerce stores run conversational post-purchase surveys using AI to capture open-ended customer feedback and marketing attribution data.\n\n# **🍪 Problem**\n\nWith the “death of the cookie” rapidly approaching, eCommerce stores must rely more on 1st- and zero-party data to inform marketing decisions like where best to spend money on ads (Meta vs. TikTok vs. Google, etc.).\n\nBecause of this, eCommerce stores are more widely adopting tools like post-purchase surveys. However, the current post-purchase survey landscape is lacking in several ways:\n\n* Limited: mainly offers multiple-choice questions that don’t provide enough context to be useful for marketing teams.\n* Static: asks the same questions regardless of the user’s segment (e.g., new vs. returning user) or the user’s previous responses within a single survey.\n* Disjointed: integrates poorly with the rest of the marketing stack.\n\n# **✨ Solution**\n\nAftercare is a modern post-purchase survey tool that uses AI to go beyond the traditional multiple-choice survey. It:\n\n* Asks open-ended questions to capture more detailed and candid feedback.\n* Changes what it asks based on the user’s previous responses so you can ask smart follow-up questions in real time.\n* Summarizes all insights in a single dashboard to inform product and marketing teams at a glance.\n\nOur MVP is a Shopify App, but we want to meet merchants and customers where they’re at, so we’re building out other channels, including a generalized web Iframe, SMS, and voice.\n\n![uploaded image](/media/?type=post&id=82218&key=user_uploads/1355492/b067a353-1293-4bcd-84b9-d42f441c6447)\n\n## **Team**\n\nPreviously known as Kontractify, we’re coming back as [Aftercare](https://www.linkedin.com/company/aftercarecompany/). We’ve been friends for 18 years and have deep engineering and ops experience at companies like Palantir, Datadog, Affirm, and Nextdoor.\n\n![uploaded image](/media/?type=post&id=82218&key=user_uploads/1355492/bc67ac78-45af-4926-a10d-978fa60fcdff)\n\n# **🙏 Our ask:**\n\nPlease reach out if you know anyone who does marketing at or runs an eCommerce store - we’d love a warm intro! Email us at [aidan@getaftercare.com](mailto:aidan@getaftercare.com)", "url": "https://www.ycombinator.com/launches/LO6-aftercare-conversational-post-purchase-surveys-using-ai", "votes": 12, "created_at": "2024-07-17T17:52:36.986Z" }, { "id": 79017, "title": "Kontractify - Painless RFPs, powered by LLMs 📢", "tagline": "We use LLMs to help enterprises run Request for Proposals (RFPs)", "body": "Hey everyone! We’re [Justin](https://linkedin.com/in/justinseanmay), [Anand](https://linkedin.com/in/anand-nanduri), and [Aidan](https://linkedin.com/in/aidan-cj-lee) – childhood friends and co-founders of Kontractify.\n\n**TL;DR** [Kontractify](https://www.kontractify.com/) uses LLMs to help enterprises run RFPs. We generate questions, manage workflows, evaluate proposals, and facilitate reverse auctions.\n\n## 🧨 **The Problem**\n\nEnterprises buy large amounts of goods and services through RFPs—competitive bid processes where they invite multiple sellers/service providers to participate. These buyers launch RFPs on extremely outdated platforms, often costing hundreds of thousands of dollars, and have UI/UX stuck in the ‘90s.\n\nBuyers get so frustrated with these tools that they ignore using them altogether and revert to Excel spreadsheets and emails. Wasted time, frustration, information loss, and lack of user participation are common.\n\nOn the other side, sellers who receive RFP notifications hate filling out responses on these platforms, leading many to not participate.\n\n## 🎉 **Our Solution**\n\nKontractify provides a painless experience for enterprise buying teams to run and collaborate on RFPs, using LLMs to speed up particularly tedious processes. Buyers can build, launch, and manage all seller communications through the platform.\n\n![uploaded image](/media/?type=post&id=79017&key=user_uploads/1355492/bed9d3f3-1454-460b-957d-a46f3630192a)\n\n**For Buyers:**\n\n* ⚙️ Simple workflow and question builders help buyers painlessly curate events\n* ✍️ Tedious activities like writing question lists are automated away with the help of LLMs\n* 📣 Advanced eBidding events such as Reverse Auctions can be easily launched, allowing for greater savings\n\n**For Sellers:**\n\n* 📫 RFP questions can be responded to directly by email and LLMs assist in converting the unstructured text into a templated response\n\n⭐️ Consumer-grade UI and LLMs greatly improve velocity for both buyers and sellers. Buyers can develop new supplier relationships, run more events, and save more money. Sellers can quickly respond to RFPs and focus on their next sale.\n\n## **Team**\n\nWe’ve been friends for 18 years and have deep engineering and ops experience at companies like Palantir, Datadog, Affirm, and Nextdoor.\n\n![uploaded image](/media/?type=post&id=79017&key=user_uploads/1355492/4b7de3a9-c552-4543-a8f3-2599bfd849c8)\n\n## **Ask**\n\n* Intro us to sourcing or procurement professionals! Drop us a line at [aidan@kontractify.com](mailto:founders@kontractify.com).", "url": "https://www.ycombinator.com/launches/KYT-kontractify-painless-rfps-powered-by-llms", "votes": 124, "created_at": "2024-03-04T18:10:59.295Z" } ] }, { "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/db5295154418cf383d1fd6006f379854b772ebda.png", "website": "https://camelai.com/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Unlimited inference at $5 per stream", "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": null, "url": "https://www.ycombinator.com/companies/camelai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/camelai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/usecamelAI", "x_url": "https://twitter.com/usecamelAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/qaml-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/db5295154418cf383d1fd6006f379854b772ebda.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/29497/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAOMAGS7ZB%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022719Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJHMEUCIG5%2FEuPdHreXKRdGLYlyC2AjaYHPccvwucNqtFtDJEpNAiEAs4s5lSDOcogMQrwGhSKvVJXgimMvlIc1KK%2Fa7hojYD4q5QMIOhAAGgwwMDYyMDE4MTEwNzIiDMPa%2BQzgV8CSsX3XwyrCA9yWuwhv7VPDGJqPM%2BDoevlHz47k5lLRdgsGITLyqtSgmLV07z1Y86XDlb4dZMfcWmY5u5FLutDaUy2PMJ92q6vIq41n2jI5tC6SNSed8Qx%2Frdr9Wotko6WcUJWENt0Rs1K4pKZ8ZHCjH22BoWJkWLaTQ8fDKsmgWu0C8NMhnc8i44rKtbZLOvQwKZIlI546tkfyyliSiXPWdZ4XhGxEegateXp4TnM4yWfebpv22hrRHRotmFYX8ANU3B8yiEQL9yrU1y10N8c42JlHR%2FXHZNxaFQqX6eENp2aa2yewya2kPgdiQ3efnk5d0LiuPYxk7ZBa6uOug4fCBPHurDSGZqOlYX9D4h6PAMyUN2kZw2IcUR9QWKM2BmEsGorqokH5Oe34gs0DmnOGrGbhANOh9LKlKDu%2B6Pc4U%2F8L3%2Bmxug0q%2B3JBUGE7Wf6ySj%2B%2BbW8eOteynPrtIEUsD0pcfnSFNzQepsmnoTP5xc7qG%2FEn4MNWO3TviPmcIdg9qyW7bwOWKSyly4BuerWbZWVxIVolnUdqKu2PxDrgnb41QrRtObgKLlbhdehgPlqhIVqZ1cWH9s2uGHoiWlN5FRY8vYYodKzLGjDn%2FdrWBjqlAdXY8WsF5AC2X79ObZ%2FmZD1gjSCNFddCxk1e7RhQVznesCZJDMryJDWqJGSqI7lLEk62aPqOUbquB9Ghba%2BJXI%2FUV%2BHgkJZAPy7wzbnv8vLB8WccujudilaH29xgpqopxweKHuQzlcRMMeq0SZHCo3PizMnbhtLrqB%2BiK9IdfwMp8c15fBnQEe2RAGCsOWYNCrhsPiR6yT5V9698E5KnRPYRfOeFQw%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=961f85a73b60d52d2fbc6bf10064f19df5e6db1411e465e5649a2f707faecf27", "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1925221, "full_name": "Illiana Reed", "title": "Founder/CEO", "founder_bio": "CEO @ camelAI - building unlimited DeepSeek Flash at $5/stream/month", "is_active": true, "linkedin_url": "https://linkedin.com/in/illiana-reed", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c2ba4e9c1a7448d1241ecc5940b94d40ccd796c1.jpg" }, { "user_id": 1925222, "full_name": "Isabella Reed", "title": "Founder/CRO", "founder_bio": "I'm the COO & Co-Founder of CamelAI.", "is_active": true, "linkedin_url": "https://linkedin.com/in/isabellareed", "x_url": "https://twitter.com/isabella_patane", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a5b99cfd60854ffffb4071d64bf2931bf1122b64.jpg" }, { "user_id": 321757, "full_name": "Miguel Salinas", "title": "Founder/CTO", "founder_bio": "Cofounder & CTO at CamelAI, the AI Business Intelligence and Data Analysis Agent", "is_active": true, "linkedin_url": "https://linkedin.com/in/miguel-salinas-b2781426", "x_url": "https://twitter.com/Vercantez", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/39eb6f4ee20f85cea33fa737cad71d9c78c7cb5b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94363, "title": "CamelAI API: Ship \"Chat With Your Data\" in 5 Minutes", "tagline": "Give your users an AI-powered data analytics chat without building it yourself. We handle the complex stuff so you ship faster.", "body": "**The Problem**\n\nYour users want to chat with their data. Building this yourself means:\n\n* 3+ months of engineering time\n* Wrestling with SQL generation, context windows, and hallucinations\n* Maintaining AI infrastructure that isn't your core product\n* Constant updates as models evolve\n\nMeanwhile, your competitors are shipping AI features today.\n\n**Our Solution: CamelAI API**\n\nConnect your database. Embed our iframe. Ship in 5 minutes.\n\n```\nresponse = requests.post( 'https://api.camelai.com/api/v1/iframe/create', headers={'Authorization': 'Bearer token', 'Content-Type': 'application/json'})\n```\n\n_Your users get:_\n\n* Natural language to SQL that actually works\n* Interactive Plotly visualizations\n* Context that learns their business terminology\n* Easy-to-make dashboards\n\n![uploaded image](/media/?type=post&id=94363&key=user_uploads/1925222/4ab6ceae-6239-4deb-b592-7cc8beda11ff)\n\n![uploaded image](/media/?type=post&id=94363&key=user_uploads/1925222/cc044d1a-3a97-42d4-9bfe-299dbfe4b17b)\n\n_You get:_\n\n* Zero maintenance AI infrastructure\n* A beautiful chat embed\n* Full customization to match your brand\n* Works with Postgres, MySQL, Snowflake, BigQuery, ClickHouse, and more\n* Built in row-level security for multi-tenant architecture\n\n![uploaded image](/media/?type=post&id=94363&key=user_uploads/1925222/3255be73-e070-41be-b598-9283a3623374)\n\nWe process over 40,000 queries every month. On average, integrating camelAI’s embeddable API takes just 5 minutes. Since our Product Hunt launch in July 2025, camelAI is already live in production with 2 Fortune 500 companies and dozens of startups.\n\n**Who's Using This**\n\n* Vertical SaaS platforms tired of building custom dashboards for every customer\n* Data companies that need to offer self-serve analytics, but don’t want to invest a team of engineers\n* Enterprise teams replacing ticket queues with instant insights\n\n_Example:_ A transaction cleansing platform embedded CamelAI so their banking clients could explore their own data without filing support tickets. Integration took one afternoon.\n\n**Pricing**\n\nPro: $200/month + usage (includes $10 credits)\n\nEnterprise: Custom pricing, VPC deployment, dedicated support\n\n**Start Now**\n\nNo sales calls. No demos required. Try free today.\n\n1. Visit [camelai.com/api](https://camelai.com/api)\n2. Grab your API key\n3. Ship your AI feature today\n\nQuestions? Shoot us an email at: [founders@camelai.com](mailto:founders@camelai.com)", "url": "https://www.ycombinator.com/launches/OXz-camelai-api-ship-chat-with-your-data-in-5-minutes", "votes": 7, "created_at": "2025-10-07T14:05:09.594Z" }, { "id": 76776, "title": "camelAI — The First Deep Research Agent for Your Structured Data", "tagline": "Ask questions, get insights from your data.", "body": "Hi YC! We're [Illiana](https://www.linkedin.com/in/illiana-reed/), [Miguel](https://www.linkedin.com/in/miguel-salinas-b2781426/), and [Isabella](https://www.linkedin.com/in/isabellareed/), the team behind camelAI.\n\n# What We're Building\n\ncamelAI is the last BI tool you'll ever need. What AI has done for coding, camelAI is doing for analytics. We connect an LLM directly to your database, turning natural language questions into in depth reports complete with beautiful visualizations in seconds. No modeling, no drag-and-drop limitations, no tickets to the data team.\n\n\n\n# The Problem: Text-to-SQL Has Failed\n\nLet's be honest: Text-to-SQL has been around for years. It's been done to death and it still leaves users frustrated. Instead of giving clear answers, Text-to-SQL makes users fight for insights:\n\n* Setup takes forever\n* Queries only work well for narrow, predictable questions\n* Results come as raw data tables, not analysis\n* Business users struggle to get actionable insights\n\nBusiness users don't want raw tables of data—they need clear insights. But text-to-SQL forces them to piece together answers manually, leaving them frustrated and no closer to a decision.\n\nThe real problem: Getting valuable insights out of your own data is still too hard and too time consuming.\n\nFor executives, founders, and product managers, this means:\n\n* Waiting days for simple data requests\n* Making decisions without complete information\n* Spending hours building and maintaining dashboards\n* Wasting precious engineering time for a \"quick data pull\"\n\nFor technical teams, it means:\n\n* Constant context-switching to answer basic data questions\n* Building one-off dashboards that are rarely used\n* Explaining the same metrics repeatedly\n\n## Our Solution: camelAI\n\nAsk camelAI anything - from basic KPIs to complex business metrics your team hasn't even thought to track:\n\n**Deep Research Agent:** Watch as our Agent writes SQL queries in real time, explores your data, and generates interactive visualizations that deliver immediate insights. Complete transparency at every step.\n\n**Learns Your Company:** camelAI learns your company's language through use. It remembers past queries and improves through your feedback, creating consistent company-specific analysis.\n\n**Instant Visualizations:** camelAI doesn't just dump query results; it automatically creates interactive Plotly visualizations with written analysis of what the data actually means.\n\n**One-Click Dashboards:** Any visualization can be saved to a dashboard that refreshes automatically. Create comprehensive dashboards in minutes, not hours.\n\n**Enterprise-Ready:** We support on-prem and VPC deployments across multiple databases.\n\n# The New Reality\n\nWithout camelAI:\n\n1. Adding tickets to sprints for basic data questions\n2. Waiting days for simple insights\n3. Engineers constantly pulled away from building products\n\nWith camelAI:\n\n1. Business teams get answers immediately\n2. Engineers focus on building products\n3. Founders make better decisions faster\n\n## Who Needs This Yesterday\n\n* **Founders** who can't afford to wait for data\n* **Product Teams** tracking metrics without a dedicated analyst\n* **CTOs** tired of being the bottleneck for data requests\n* **Junior Analysts** who want to focus on insights, not queries\n\n# Setup Takes 60 Seconds\n\n1. Connect your data source — pick from 10+ connections or upload a CSV\n2. Ask your first question\n3. Start making better decisions\n\n# 🐪 How We Got Here\n\n![uploaded image](/media/?type=post&id=76776&key=user_uploads/1925221/b319f130-c38f-4080-8e5c-8edf8d77e91d)\n\nWe've been shipping products together for three years. We're not data analysts, and that was the problem.\n\nOur organized data was right there, but we couldn't get to it without SQL expertise or wrestling with clunky BI tools that never quite answered our actual questions. So we built the tool we needed.\n\nOur insight was simple: stop writing SQL queries by hand. Let AI do what it's good at. Let humans ask natural questions and get answers they can use right away.\n\n## Try camelAI Today\n\nOur free tier gives you 10 messages per week: \n\nQuestions? We read every email: [illiana@camelai.com](mailto:illiana@camelai.com)\n\nLooking for: Teams tired of SQL bottlenecks who want to transform how they use data.", "url": "https://www.ycombinator.com/launches/JyK-camelai-the-first-deep-research-agent-for-your-structured-data", "votes": 92, "created_at": "2025-04-21T20:16:07.000Z" } ] }, { "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 City, 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": null, "url": "https://www.ycombinator.com/companies/renderlet", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/renderlet.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/renderlet", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/renderlet/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8c34b0727ce76497f1f02b8f378c53e7f5d7ab8f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1759368, "full_name": "Sean Isom", "title": "Founder/CEO", "founder_bio": "Sean is the Founder of renderlet. He previously built Developer Platforms at Adobe as a Lead Engineer and Sr. Engineering Manager, building the core infrastructure that powers apps like Photoshop and Acrobat. He has over a decade of technical experience in browsertech and real-time graphics and is currently involved in standardization efforts for WebAssembly’s WASI GPU support.", "is_active": true, "linkedin_url": "https://linkedin.com/in/isom", "x_url": "https://twitter.com/theisomizer", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a3cfd53d423d8c2e04727b0f7566266acbefa8b1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 79415, "title": "renderlet: Making graphics programming easy", "tagline": "Write graphics code that automatically runs anywhere", "body": "**Building interactive graphics is really hard**. Developers need expert-level knowledge of GPU programming just to build code that is not portable to new environments such as Web or Mobile or reusable across applications.\n\nRenderlet is a WebAssembly framework for **writing graphics code that runs anywhere**. Describe your graphics pipeline using a **higher-level abstractions** and use renderlet to generate low-level, cross-platform rendering code.\n\nWith renderlet, developers can easily embed GPU-accelerated 2D and 3D graphics into cross-platform applications.\n\n![uploaded image](/media/?type=post&id=79415&key=user_uploads/1759368/4ce27e3c-1c68-456d-a0bd-eedd272c1712)\n\n## How it works\n\nWith renderlet, **we compile graphics to portable WebAssembly modules** and provide a runtime that abstracts away the underlying GPU architecture to the code.\n\nDevelopers can take advantage of modern technologies like **WebGPU** without having to learn the intricacies of yet another standard. 2D and 3D graphics are fully decoupled from the application and device and can ship decoupled from the applications code in a format that **runs anywhere**.\n\nRenderlet is:\n\n* A **compiler** that takes a high-level specification of your graphics pipeline - including custom assets, functions, and libraries - and builds self-contained WebAssembly rendering modules\n* A **renderer**, _wander_, that embeds into any application on any platform that and safely runs rendering modules with the GPU\n* A **visual editor** that makes it easy to build entire graphics and visualization pipelines out of reusable rendering modules\n\n**Anybody should be able to build interactive applications** without having to be a graphics programming expert.  \n\n## About Us\n\n[Sean Isom](https://linkedin.com/in/isom) previously built developer platforms at Adobe as a Lead Engineer and Sr. Engineering Manager. He helped bring products to the cloud and web using tools like WebAssembly and is currently involved in standardization efforts for WebAssembly GPU support.\n\n![uploaded image](/media/?type=post&id=79415&key=user_uploads/1759368/36bcf46c-edd6-4b90-9124-45c3c81ec64b)\n\n## What’s next?\n\nOur cross-platform rendering engine, **wander**, is open source:  \n\nWe’re kicking off with a **live demo** today of renderlet at Wasm I/O!   \n\nWant more info on cross-platform graphics? **Get in touch**! - [sean@renderlet.com](mailto:sean@renderlet.com) ", "url": "https://www.ycombinator.com/launches/Ket-renderlet-making-graphics-programming-easy", "votes": 36, "created_at": "2024-03-15T16:53:22.280Z" } ] }, { "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": null, "url": "https://www.ycombinator.com/companies/ember-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/ember-robotics.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ember-robotics", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d7501c381ec6654b0249e7c8d1881f708e27ce6e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6c2229c2c42289396d01eae7f571cb9a5c3d6351.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1932951, "full_name": "Shivani Mouleeswaran", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO @ Ember Robotics. Previously at Tesla Autopilot / Simbe Robotics. I love robots, basketball, and playing the sitar!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shivanicm", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca21e267ed252271b8234a225ca024e791db442e.jpg" }, { "user_id": 1946129, "full_name": "Ritika Shrivastava", "title": "Founder/CTO", "founder_bio": "Ritika is a roboticist who loves helping robots see 🕶! She is a proud UC Berkeley alumna (B.S. EECS '21 & M.S. EECS '22) 🐻, where she researched and taught about computer vision and robotics. Formerly a computer vision engineer at Tesla Autopilot, Ritika is excited to build tools that help roboticists!\n\nIn her free time, she enjoys playing tennis 🎾, building gizmos, and reading 📖!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ritikashrivastava/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/62f2b8c1226f588a683c681ac6ac1c7ceb5d341c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87515, "title": "Ember Robotics: Datadog for Robots", "tagline": "From prototype to scale, we keep robots running", "body": "# **tldr; Fast-track your robotics development**\n\nAt [**Ember**](https://www.emberrobotics.com/), we make it easy for robotics teams to catch and fix issues fast. Our edge-first robot diagnostics platform helps you stay on top of system performance—whether you're prototyping, scaling, or deploying in the field. \\\n\\\nWith instant insights and built-in reliability, we help you move faster, build smarter, and launch with confidence. Ready to try it out? Book a demo [**here**](https://www.emberrobotics.com/) or reach out to us at [**founders@emberrobotics.com**](mailto:founders@emberrobotics.com)!\n\n# **The problem**\n\n1. **No Visibility in Low-Network Zones** – When robots lose connectivity, **cloud-based diagnostics fail**, making it hard to track performance or troubleshoot failures in real time.\n2. **Slow, Costly Root-Cause Analysis** – Debugging is painful, with teams sifting through **dense logs and complex graphs** instead of getting clear, actionable insights.\n3. **Inefficient DIY Monitoring Stacks** – Robotics teams **waste months building custom diagnostics** because existing tools don’t work for their needs.\n4. **Reactive Debugging Leads to System Failures** – Without **proactive monitoring**, small issues snowball into major downtime and expensive repairs.\n\n# **Our solution**\n\n### **🌐 Works Offline**\n\n* **Edge-first diagnostics** to store and analyze data even when the network is down.\n* **Smart caching & prioritized sync** ensure no critical insights are lost.\n\n### **🔍 Faster, Clearer Troubleshooting**\n\n* **Instant anomaly detection** surfaces failures before they escalate.\n* **Real-time sensor & system health analytics** (cameras, IMU, LiDAR, CPU, memory).\n* No more digging through logs—just **straightforward insights** when you need them.\n\n### **⚡ Seamless Integrations**\n\n* **Built-in Sensor Plugins & Robotics Middleware Support** – Off-the-shelf support for **Intel® RealSense™, Luxonis®, Orbbec®**, and more. Easy integrations for **ROS and e-Cal** —no extra setup required.\n* **Deploy in minutes with standard Linux packages**—skip the custom integrations.\n* **API-first design** lets you access diagnostics effortlessly and extend with your own **custom metrics plugins**.\n\n### **📈 Scale up to Fleet-Wide Monitoring**\n\n* Grow reliably from 1 to 10,000 robots with **consistent, structured data collection**.\n* Identify **trends & patterns across groups of sensors and devices**.\n* Works in **low-bandwidth environments**, ensuring continuous insights.\n\n# **Check it out**\n\n![uploaded image](/media/?type=post&id=87515&key=user_uploads/1932951/8cd43030-d313-4ade-af0d-f7fe7197ac0d)\n\n[**\\[dashboard demo\\]**](https://www.tella.tv/video/ember-robotics-dashboard-gvog)\n\n[**\\[real-time diagnostics demo\\]**](https://www.tella.tv/video/ember-real-time-diagnostics-walk-through-dcdf)\n\n### **Meet the team**\n\nWe built software at Simbe Robotics and Tesla Autopilot to optimize robot reliability—covering real-time diagnostics, sensor calibration, field service alerts, and low-latency data pipelines. From early R&D to fleet-scale deployment, we ensure robots stay operational, efficient, and ready for any environment.\n\n![uploaded image](/media/?type=post&id=87515&key=user_uploads/1932951/b82857af-566f-465a-8212-74965d060e03)\n\n# \n\n# **Our ask**\n\nStruggling with blind spots in your fleet? Drowning in logs while root-causing issues? **Ember streamlines troubleshooting and ensures reliable performance—no matter the network conditions.**\n\n🔹 **Book a demo** → [**here**](https://www.emberrobotics.com/)\n\n🔹 **Know someone working with robots, drones, or multi-camera systems?** Send them our way!\n\n🔹 **Just love talking robots?** Same—let’s chat!\\\n\\\nLet’s make **robot monitoring effortless.** Hit us up at [**founders@emberrobotics.com**](mailto:founders@emberrobotics.com)! 🚀", "url": "https://www.ycombinator.com/launches/MlX-ember-robotics-datadog-for-robots", "votes": 25, "created_at": "2025-02-07T22:07:48.510Z" }, { "id": 82673, "title": "Ember Robotics: Camera diagnostics for robots", "tagline": "Reducing vision failures from the source", "body": "# **tldr; Got camera problems? We’ve got solutions.**\n\n[Ember](https://www.emberrobotics.com/) builds software to monitor and resolve robot camera issues - so you can reduce vision failures from the source.\n\nIs robot camera reliability or degraded vision driving you nuts? Book a demo [here](https://www.emberrobotics.com/) or reach out to us at [founders@emberrobotics.com](mailto:founders@emberrobotics.com)!\n\n### **The problem**\n\nWe’ve spent years working on vision systems for autonomous robots and found similar issues everywhere:\n\n![uploaded image](/media/?type=post&id=82673&key=user_uploads/1932951/335dd4a4-e0b6-4c6b-bb64-a4c9c0c60f7f)\n\n☐ Robotics companies work on lean teams that have to do lots of things super fast - **hardware reliability is often secondary to core product features**\n\n☐ **Camera failures cause large fires** because they float up the stack to critically damage perception, controls, and safety\n\n☐ **Digging through layers of software / hardware to figure out what went wrong is painful** (ex. sometimes you spend hours goose-chasing a “perception issue” just to find a loose cable)\n\n### **Our solution**\n\n![uploaded image](/media/?type=post&id=82673&key=user_uploads/1932951/9c181ef2-e04a-498d-a839-35bfa75fd1dc)\n\n**A camera diagnostics framework that ties in real-time data, logs, and reports to contextualize your robot’s vision health.** Support the full life-cycle of your robot with features like:\n\n✅ Out-of-the-box tracking for common issues (disconnection, frame drops, time sync)\n\n💬 Automated suggestions for error resolution\n\n⏱️ Real-time alerts\n\n🖌️ Image quality analysis tools to optimize computer vision\n\n📈 Historical data analysis for predictive maintenance\n\n### **Try it out: Plug-and-play camera testing**\n\nBench-test cameras or diagnose issues in the field with one easy tool. **Fill a config file, launch our service, and get fast metrics on camera health.**\\\n[demo](https://www.youtube.com/watch?v=OnoCmdVEzzM)\n\nCurrently we support Intel® RealSense™ D400 cameras and ROS - more cameras and pub-sub models coming soon!\n\n### **Meet the team**\n\n![uploaded image](/media/?type=post&id=82673&key=user_uploads/1932951/cc554985-1fa2-4bd8-9d16-96609bb82645)\n\nHi, we are [Shivani](http://linkedin.com/in/shivanicm) & [Ritika](https://www.linkedin.com/in/ritikashrivastava/)! We built software at Tesla Autopilot to optimize camera performance for autonomy. We’ve covered the camera stack end-to-end (low-latency image capture, real-time camera monitoring, online camera calibration, multi-trip reconstruction, and SLAM) - we’re passionate about helping robots see!\n\n### **Our ask**\n\nIs robot camera reliability or degraded vision driving you nuts? Book a demo [here](https://www.emberrobotics.com/) or reach out to us at [founders@emberrobotics.com](mailto:founders@emberrobotics.com)!\n\nIf you know anyone working on robots, drones, or other multi-camera systems (surveillance, manufacturing, etc.) we would love a warm intro.\n\nAnd for those who are just generally robot-curious - always happy to chat!", "url": "https://www.ycombinator.com/launches/LVR-ember-robotics-camera-diagnostics-for-robots", "votes": 101, "created_at": "2024-08-02T13:50:39.909Z" } ] }, { "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": null, "url": "https://www.ycombinator.com/companies/bitboard", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/bitboard.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bitboardhq", "x_url": "https://x.com/bitboardhq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/74d921a27f5f4254a29834c03d8bfeb6cd8b878c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/861196e852bda17e4029bce7d4bf94a5dc91dd2e.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2002154, "full_name": "Connor Jones", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ BitBoard. \n\nEx-Forward, BlackRock, Columbia Engineering.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/connorandrewjones/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5fbe6de4ee5d3c3e64dc17cf6cca43d8958dc06b.jpg" }, { "user_id": 1576262, "full_name": "Ambar Choudhury", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO @ BitBoard, an AI-first analytics workbook that lets you load and transform data with SQL, python, and your favorite coding agent. Handle complex modeling and analysis 10x faster without giving up control when you need it.\n\nI was the first engineer at Forward, a national AI-enabled primary healthcare system. Before that, I worked on government-facing technology at Palantir. \n\nI like creating products that empower people, and technology that scales. \n", "is_active": true, "linkedin_url": "https://linkedin.com/in/ambar-choudhury-92681038", "x_url": "https://x.com/ambarc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8dde4a359f0f46f3fc9faca9f72385cc56cce9d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100824, "title": "BitBoard: Analytics workspace for agents", "tagline": "Build hosted dashboards and analysis with your favorite AI chat or coding agent.", "body": "**TL;DR**\n\nUsing your go-to AI chat or coding agent for data analysis is great until you want to set up a recurring report or collaborate with your team.\n\nWe built an analytics layer for your favorite AI tools to generate hosted reports and live dashboards.\n\nGet started in minutes, for free at [app.bitboard.work](http://app.bitboard.work)\n\n![uploaded image](/media/?type=post&id=100824&key=user_uploads/2002154/615b65c7-eb00-480f-ba27-cceabe248a50)\n\n**Problem**\n\nThe most capable AI tools still treat data analysis as ephemeral, making durable reporting and collaboration a nightmare.\n\nLegacy BI tools weren’t intended for AI users, so they bolt on clumsy chatbots and can’t offer meaningful control to the agents you’re actually using.\n\n**How BitBoard works**\n\nConnect your preferred AI chat or coding agent to BitBoard to build living dashboards and analysis you can share with your team. BitBoard works with any MCP client, including Claude, Claude Code, ChatGPT, and Cursor.\n\nHosted workbooks let your agent pull data, build visualizations, and add commentary by writing SQL, code, and markdown that’s stored and executed within the workbook.\n\nWork in BitBoard is traceable and repeatable. Logic and outputs are persisted and named so context isn't lost in chat threads or terminals.\n\nAnalysis stays fast and cheap as the workbook grows. Small queries stay local, results are cached until the underlying data changes, and your warehouse only returns the rows each query needs.\n\n**Connecting your data**\n\nWant to get started with minimal setup? Just push data from your agent to piggyback off of your agent’s existing connections and we’ll host it.\n\nFor ongoing access to live data, securely connect to your apps, databases, and data warehouse from a single point in BitBoard.\n\n**Onboard in minutes, for free**\n\n1. Connect your AI chat or coding agent to BitBoard via MCP. Works with any MCP client, including Claude, Claude Code, ChatGPT, and Cursor.\n2. Push data from your agent. We'll host it, no setup required.\n3. When you want live data, configure connections to your apps, databases, and warehouse from a single point in BitBoard.\n\nTry pointing your agent at BitBoard for your next KPI review, product analytics investigation, or post-mortem.\n\n**Ask**\n\n* Try it out at [app.bitboard.work](http://app.bitboard.work)\n* Email us with questions and feedback at [founders@bitboard.work](mailto:founders@bitboard.work)\n* [Book a call ](https://bitboard.work/contact)if you need help with a specific use case.\n\n![uploaded image](/media/?type=post&id=100824&key=user_uploads/2002154/6191878d-f4f7-4f05-988f-d2dfb103788f)\n\n", "url": "https://www.ycombinator.com/launches/QEC-bitboard-analytics-workspace-for-agents", "votes": 8, "created_at": "2026-05-06T21:45:16.447Z" } ] }, { "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": "Quantitative trading", "one_liner": "AI for quantitative trading", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1754374450, "tags": [ "Developer Tools", "Data Science", "Data Visualization", "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": null, "url": "https://www.ycombinator.com/companies/lotas", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/lotas.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lotas/", "x_url": "https://x.com/lotas_ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/lotas-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b64e79cf442071bbe251c8f19acacccc3dbf1fea.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/674a3c65b711a03e0a53e55c2f405314328629c9.png" ], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 1845082, "full_name": "Jorge Guerra", "title": "Founder/CEO", "founder_bio": "Founder/CEO Lotas — quantitative trading with AI\nHarvard '24", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jorge-o-guerra", "x_url": "https://x.com/jorgeguerrajr", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c9188857caef45433587c3241d504b930d7b6921.jpg" }, { "user_id": 1846075, "full_name": "William Nickols", "title": "Founder/CTO", "founder_bio": "Founder/CTO Lotas — quantitative trading with AI\nHarvard '24", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/willnickols/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4224a64ec156b9f0c6f404911435d3f531a7524c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92746, "title": "Lotas — Cursor for Data Science", "tagline": "Building a secure, AI-native IDE for data scientists", "body": "Hey everyone! We’re Jorge and Will from Lotas. We’re building a secure, AI-native IDE for data science—and as a first step, we’ve built an AI coding assistant into RStudio (think Cursor for RStudio). We’re looking for RStudio users, data scientists, and students who want to code way faster and are excited to see AI integrated into data science workflows.\n\nhttps://www.youtube.com/watch?v=c47Ch1kB0eU\n\n❌ Problem\n\nRStudio is used by about 5 million data scientists and academics, but they currently lack a coding assistant within their IDE. Developers in other environments benefit from tools like Cursor and Windsurf, but R users don’t have an equivalent tool that’s truly integrated into their day-to-day workflow. And more broadly, data science teams need an AI-native environment that understands notebooks, dataframes, plots, and multi-language workflows—without forcing work into the cloud or tools they don’t use.\n\n✅ Solution\n\nWe’re building a secure, AI-native IDE for data science that is context-aware (files, variables, terminals), can read and write code, run analyses, and interpret textual or visual output across R and Python to start. While we build this IDE, we’ve shipped Rao: a fork of RStudio with an embedded AI assistant that is aware of the user’s local context (both files and variable environment), can read and write files, can run code or commands, and can interpret textual or visual output. It works with the file formats RStudio users already rely on (R, notebooks including RMDs and QMDs, Python, Stan, etc.), so you can iteratively perform entire data analyses inside your preferred IDE today—and help us design the next one.\n\n👨‍🎓 Who we are\n\nBoth of us were PhD students at Harvard. Jorge was in the biophysics program and Will was in the biostatistics program where most people used RStudio every day. We saw how integrated coding assistants were taking off in other IDEs, but RStudio integrations lagged behind. Many R users were copying and pasting code from ChatGPT to build their workflows, which was slow and fragile. Other AI data science tools are either (1) built on the web or in environments people don’t already use, (2) completely focused on Python notebooks, or (3) weak package-based assistants with limited functionality. We’re closing these gaps—first with Rao, and next with a purpose-built IDE for data science.\n\n🚀 Try Rao & get early access\n\nYou can download Rao, watch our demo, and work through example use cases. If you’re interested in a secure, AI-native IDE for data science, contact us for an early preview!\\\n\\\n✉️ **Contact**\\\nYou can reach us at [founders@lotas.ai](mailto:founders@lotas.ai) and follow us on [LinkedIn](https://www.linkedin.com/company/lotas/) and [X](https://x.com/lotas_ai).\n\n![uploaded image](/media/?type=post&id=92746&key=user_uploads/1845082/a6d066f2-358c-46b1-959e-6e2618b44df4)\n\n", "url": "https://www.ycombinator.com/launches/O7u-lotas-cursor-for-data-science", "votes": 14, "created_at": "2025-08-05T16:49:32.810Z" } ] }, { "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": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1753649047, "tags": [ "Generative AI", "SaaS", "Productivity", "Data Visualization", "AI" ], "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": null, "url": "https://www.ycombinator.com/companies/doe", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/doe.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/107749671/", "x_url": "https://x.com/doelabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4f710ccf11734c2c75ffd07ca7442b64c2f35ab.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1867926, "full_name": "Adrian Barbir", "title": "Founder/CEO", "founder_bio": "Founder & CEO of Doe", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adrianbarbir", "x_url": "https://x.com/AdrianBarbir", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1756c6b6737d557e0a30d2d0d41124e119295553.jpg" }, { "user_id": 1331360, "full_name": "Richard Ou", "title": "Founder/CTO", "founder_bio": "Founder & CTO of Doe, prev. Vapi, Wordware, second-time founder, youngest board advisor on Penn's Center for AI, Physics & CS", "is_active": true, "linkedin_url": "https://linkedin.com/in/yuhuangou", "x_url": "https://x.com/yuhuangou", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2c2d1401e6ed5c80a90b95cf48719d0b2a7dba8f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 96000, "title": "Doe: A new productivity platform", "tagline": "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.", "body": "Hey everyone, we're [Adrian](https://x.com/AdrianBarbir) and [Richard](https://x.com/YuhuangOu). We've been building Doe for the past few months.\n\n**TL;DR**\n\nDoe is an action engine for work. You connect your tools, tell it what you need, and agents go do it. Not chat. Actual execution: pull data, update records, send messages, run workflows across your systems. When you do things yourself, like modifying spreadsheets or writing an email, agents work alongside you.\n\n![uploaded image](/media/?type=post&id=96000&key=user_uploads/1867926/622bda3c-17da-4c86-b127-9e495e250a54)\n\n\\\nhttps://doe.so\n\n**What we're building toward**\n\nKnowledge working is changing as you read this post. Not \"AI answers your questions\" change. More like: you wake up and agents have already reconciled your expenses, flagged at-risk deals, and drafted the weekly update. You review, adjust, and move on. The tedious stuff happened while you slept.\n\nWhen you do want to dig in or do stuff yourself, you're augmented with sets of tools. A good example is cursor’s tab/autocomplete. Your work platform has context and every action you take is faster because of what's running in the background.\n\n![uploaded image](/media/?type=post&id=96000&key=user_uploads/1867926/23d9a617-3216-4243-8198-3f6a8ae8e52d)\n\nThat's the vision. A workspace where agents do work and humans get augmented.\\\n\\\n**What you can do today**\n\n1. **Ask anything about your data.** No SQL. No dashboards. Just ask.\n2. **Get boring work done.** Agents update your CRM, send Slack messages, create Linear tickets, pull reports, and create financial models. You watch in the preview pane and step in when you want.\n3. **Set up Loops.** Agents that run on a schedule. Daily pipeline reviews. Weekly reconciliation. Continuous monitoring. Set it once.\\\n \\\n We like having Doe go through our linear + github to create a performance review each day :)\n\n**Enterprise stuff**\n\nSOC 2 Type II. HIPAA-ready. Zero data retention with LLM providers. SSO, SCIM, audit logging.\n\n**Our asks**\n\n**Try it:** [doe.so](http://doe.so) - it’s free\n\n**Tell us what's broken:** We're building fast and want to know what doesn't work\n\n**Intros:** If you know ops, sales, or finance folks, we'd love to meet them. We think this can be a cursor", "url": "https://www.ycombinator.com/launches/OyO-doe-a-new-productivity-platform", "votes": 20, "created_at": "2025-12-04T22:23:34.811Z" } ] }, { "id": 36147, "name": "Reconero", "slug": "reconero", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b80e05ae693ed71f511c4061b98e40ea8c93e882.png", "website": "https://reconero.com", "all_locations": "San Francisco, CA, USA", "long_description": "Officers join the force to protect their communities, yet over 40% of their day is eaten by paperwork that keeps them behind a desk. The burden reaches beyond lost time. Burnout is driving officers out of the force, leaving those who remain carrying an even heavier workload.\r\n\r\nReconero is built to give that time back. 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Created the open-source exploit \"PirateStealer\" that helped ElectronJS (used by OpenAI, Discord, etc) fix code injection.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/riwan-azeroual-19398a359/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a25d46c33453e66c2da0eacaf5f07f14d15477be.jpg" }, { "user_id": 3640723, "full_name": "Edward \"JiuJiu\" Liu", "title": "Founder/CTO", "founder_bio": "Left CS/Eng @ Stanford to build for the police", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edward-liu-5030a0282/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7fecb24a0266b53ddb28a03095d65f78d90b76bb.jpg" } ], "jobs": [], "news": [], "launches": [] } ]