[ { "id": 28404, "name": "Cercli", "slug": "cercli", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c64a305e01ba20da74a99d93c7b92f8f9831ffb.png", "website": "https://www.cercli.com", "all_locations": "Dubai, Dubai, United Arab Emirates", "long_description": "Cercli is the AI native platform for businesses to hire and manage their workforce.", "one_liner": "AI powered HR and Recruitment for people teams", "team_size": 28, "industry": "B2B", "subindustry": "B2B", "launched_at": 1690828371, "tags": [ "SaaS", "HR Tech", "Payroll" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United Arab Emirates", "Middle East and North Africa", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cercli", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cercli.json", "year_founded": 2023, "city": "Dubai", "country": "AE", "linkedin_url": "http://www.linkedin.com/company/cercli", "x_url": "https://twitter.com/cercliHQ", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c64a305e01ba20da74a99d93c7b92f8f9831ffb.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": 670088, "full_name": "Akeed Azmi", "title": "Founder", "founder_bio": "Founder at Cercli, formerly Head of Growth, Expansion & Operations at MENAs largest tech unicorns Kitopi & Careem (acquired by Uber).", "is_active": true, "linkedin_url": "http://linkedin.com/in/akeedazmi", "x_url": "https://twitter.com/akeed23", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/09826584e7b986cf3304a327d3298fc1a5b3d8c0.jpg" }, { "user_id": 1224831, "full_name": "David Reche", "title": "Founder", "founder_bio": "Founder at Cercli, former VP Product & Engineering at Kingmakers (Draftkings for Middle East and Africa). Prior to this held product and engineering leadership roles at Careem (acquired by Uber in 2020).\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/davidreche/", "x_url": "https://twitter.com/twopac", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aee559a2883f701f429da61c41c23e274de819b3.jpg" } ], "jobs": [], "news": [ { "title": "YC alum Cercli, an AI-powered Rippling for MENA, raises oversubscribed $12M Series A | TechCrunch", "url": "https://techcrunch.com/2025/10/20/yc-alum-cercli-an-ai-powered-rippling-for-mena-raises-oversubscribed-12m-series-a/", "date": "Oct 21, 2025" }, { "title": "Cercli Raises $12M In Series A Led By Picus Capital", "url": "https://www.forbesmiddleeast.com/innovation/startups/cercli-raises-%2412m-series-a-to-power-ai-native-workforce-management", "date": "Oct 20, 2025" }, { "title": "How Dubai's Cercli is transforming payroll management for businesses | The National", "url": "https://www.thenationalnews.com/future/technology/2024/10/14/how-dubais-cercli-is-transforming-payroll-management-for-businesses/", "date": "Oct 13, 2024" }, { "title": "\"We Got Funded!\" UAE-Based Cercli's US$4 Million Seed Round Marks Silicon Valley-Based Afore Capital's Debut MENA Investment | Entrepreneur", "url": "https://www.entrepreneur.com/en-ae/growth-strategies/we-got-funded-uae-based-cerclis-us4-million-seed-round/480116", "date": "Sep 19, 2024" }, { "title": "Workforce Management Platform Cercli Secures $4M In Latest Funding Round", "url": "https://www.forbesmiddleeast.com/innovation/startups/workforce-management-platform-cercli-raises-%244m-in-a-seed-round", "date": "Sep 02, 2024" } ], "launches": [ { "id": 73789, "title": "Cercli 💸🌀 – Automating payroll, HR, compliance, onboarding & more for MENA", "tagline": "The single source of truth for your company's greatest asset – your people", "body": "**TLDR: Cercli is the modern employee data platform for the Middle East and North Africa (MENA). We automate payroll, compliance, reimbursement, onboarding, and offboarding by seamlessly integrating with tools across the workplace.**\n\nHello, world! 👋 We are David and Akeed.\n\n### **🤕 Problem**\n\nEven today, companies across MENA manage payroll, employee information, documents, onboarding checklists, and a plethora of other tasks manually. They default to spreadsheets, legacy enterprise solutions, and dated basic HR solutions. This causes an array of issues and challenges, including:\n\n* **Human error and fraud**: Personal employee data is collected and managed manually on spreadsheets, email, and WhatsApp conversations with no tracking or logs.\n* **Weak compliance**: Mistakes due to manual work may result in fines due to incorrect reporting to authorities and extend to non-renewal of operating/trade licenses for the business.\n* **Costly and lengthy rollout timelines**: Legacy providers have steep set-up fees and take months (even years) to complete - and on top of that require consultants or 3rd party vendors to implement the system.\n* **Poor transparency and employee experience:** Employees have little to no visibility into people policies, time off and expenses, and payroll disbursement. This means following up manually with HR over email, slack, or Whatsapp for basic queries.\n\nAnd still, with NO single source of truth - “_a black box_”, for a company's greatest asset (and usually largest line item of spend) - its people. Isolated business tools and spreadsheets don't “_speak to each other_” which causes mismatches in data.\n\n### **🎯 Why Cercli?**\n\nWe flip this upside down. The platform has been built with design and engineering at its core - curated around our design partners and customers, with the goal of making Cercli a workplace system that feels human.\n\n![uploaded image](/media/?type=post&id=73789&key=user_uploads/670088/7153a0a8-7e25-434f-8e1e-a25b4441398e)\n\n**Fully automated payroll**\n\nEnd-to-end automated payroll from data ingestion, processing, and disbursement with audit trails and change logs at every step. Consolidate in-house and remote payrolls for a complete view of people spend.\n\n**All under one roof**\n\nConnect your HR, Finance, Accounting, IT, and Legal stack with key integrations, so your systems speak to each other to manage your back office with ease.\n\n**Smart data validations**\n\nA number of checks and balances to ensure 100% data integrity. No more pivot tables with misspelled country names, duplicate entries, or inaccurate FX conversion for multi-country people spend.\n\n**Workflow alerts, policies, and approvals**\n\nDitch the calendar reminder for that recurring expense every month, or the Slack notification to renew that employee's visa or insurance plan. Set up alerts and curated policies for your business across the employee lifecycle.\n\n![uploaded image](/media/?type=post&id=73789&key=user_uploads/670088/349ee9a5-3df1-4ed2-b5e8-5d9df3fc08f9)\n\n### 👥 About us\n\n![uploaded image](/media/?type=post&id=73789&key=user_uploads/670088/6c6c5882-0afd-47d9-b802-d674b5fd1ef9)\n\n[Akeed](https://linkedin.com/in/akeedazmi) (_right_) left MENA unicorn [Kitopi](https://www.kitopi.com/), as the Head of Growth and Expansion to begin this journey after encountering the problem at work. Previously, he worked in operations and growth at [Careem](https://www.careem.com/) (acquired by Uber in 2020), where he met now co-founder, David (_left_).\n\n[David](https://linkedin.com/in/davidreche) was most recently VP of Product & Engineering at [Kingmakers](https://kingmakers.com/) (Draftkings for Middle East and Africa). Prior to this, David held product leadership roles at Careem.\n\n### 👋 **How can you help?**\n\n* Schedule a demo and join us in reimagining how employee data is managed. [Click here](https://www.cercli.com/join?utm_source=launchyc&utm_medium=yc).\n* Connect us with MENA based HR, Finance and IT leaders in your network. [Click here.](mailto:akeed@cercli.com)\n* Share the love. Check out our [website](https://www.cercli.com/?utm_source=launchyc&utm_medium=yc) and follow our journey on [LinkedIn](https://www.linkedin.com/company/cercli/) and [Twitter](https://twitter.com/cercliHQ).", "url": "https://www.ycombinator.com/launches/JC9-cercli-automating-payroll-hr-compliance-onboarding-more-for-mena", "votes": 67, "created_at": "2023-08-03T21:28:02.499Z" } ] }, { "id": 28486, "name": "Y/n", "slug": "yn", "former_names": [ "Emittance", "Can of Soup" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e36b8395f7d2041a4dee857e320994716af5a66.png", "website": "https://yn.app", "all_locations": "San Francisco, CA, USA", "long_description": "Y/n is the most entertaining app in the world.\r\n\r\nOn Y/n, you play a character in your story. Be a boarding school student and get the boys to fall in love with you, or plan a jailbreak with Sherlock Holmes.\r\n\r\nStories are made for you. Your texts change the plot and how characters feel about you, so no two playthroughs are the same (but you can rewind).\r\n\r\nThere's a Y/n story for every mood: romance, fanfiction, fluff, mystery, and more. Discover 10M+ stories created by the community.\r\n\r\nCan't find the one you want? Write and publish your own.", "one_liner": "Play your story", "team_size": 4, "industry": "Consumer", "subindustry": "Consumer -> Content", "launched_at": 1693199001, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Consumer", "Content" ], "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/yn", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/yn.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e36b8395f7d2041a4dee857e320994716af5a66.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": 958909, "full_name": "Gabriel Birnbaum", "title": "Founder", "founder_bio": "I am building Y/n. Previously, I co-founded Can of Soup, researched plasma physics, and was the first product designer at Substack.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gabriel-b-57ba3314a/", "x_url": "https://twitter.com/gabirnbaum", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/210e5e63b9f94d341a04173894e0158950b22ac5.jpg" }, { "user_id": 312314, "full_name": "Eric Meier", "title": "Founder", "founder_bio": "Eric Meier is the co-founder of Can of Soup, the AI photo sharing app. Prior to that, Eric worked with collaborative text editors at Slite and Liveblocks. He studied computer science at the Karlsruhe Institute of Technology prior to going into industry.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eric-meier-34257b148/", "x_url": "https://twitter.com/bitphinix", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fa6deaa46f1cd3591c0fcb4f375685366c0788cd.jpg" } ], "jobs": [ { "id": 94749, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/yn/jobs/lDpeUr5-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $300K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 97403, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/yn/jobs/vBQxHHP-software-engineer", "location": "San Francisco, CA, US / Remote (DE; GB; US; SE; FR; CH; AT)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $300K", "equity_range": "0.50% - 2.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 116903, "title": "Head of Growth", "url": "https://www.ycombinator.com/companies/yn/jobs/RiV3I8Z-head-of-growth", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$120K - $250K", "equity_range": "0.10% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] } ], "news": [ { "title": "To Bring Socializing Back to Social Networks, Apps Try A.I. Imagery - The New York Times", "url": "https://www.nytimes.com/2023/09/27/technology/ai-images-social-media-sharing.html", "date": "Sep 27, 2023" } ], "launches": [] }, { "id": 28589, "name": "HockeyStack", "slug": "hockeystack", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90725285723955c6a718c11c6de42fac109093c5.png", "website": "https://hockeystack.com", "all_locations": "San Francisco, CA, USA", "long_description": "HockeyStack improves sales outcomes for B2B companies by helping them record and understand every interaction their customers have with their marketing, sales reps, CSMs, and products. \r\n\r\nWe map every customer touchpoint from ad impression to closed won and to upsell using our own tracking script and native integrations to the B2B GTM tech stack. \r\n\r\nBuilding this source of truth allow us to give companies previously hidden insights that generate incremental revenue, such as:\r\n\r\n- Deploy marketing budget: \"Launch this ad campaign to this audience to generate $XM in pipeline\"\r\n- Target the right accounts with the right messaging: \"These accounts have the highest likelihood to convert, put them on this email sequence\"\r\n- Convert more of the pipeline: “Pied Piper hasn't visited the site for 8 days; give Jim a phone call”\r\n", "one_liner": "The operating system for inbound B2B revenue", "team_size": 32, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1680648195, "tags": [ "SaaS", "B2B", "Analytics", "Sales", "Marketing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hockeystack", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/hockeystack.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hockeystack", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/90725285723955c6a718c11c6de42fac109093c5.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": 307556, "full_name": "Buğra Gündüz", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ HockeyStack. I started learning to code as a child, started selling digital products online in my freshman year of high school in Turkey, went to the US for college & dropped out during my first quarter to build HockeyStack.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bgrgndzz", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/506413169722e10ebea15acaf30cc5a40730f0a7.jpg" }, { "user_id": 703243, "full_name": "Arda Bulut", "title": "Founder", "founder_bio": "co-founder and cto", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ardabulut-627211/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c269aabd8c3f15b21d379d87cd354b0c90d225df.jpg" } ], "jobs": [], "news": [ { "title": "HockeyStack raises $20 million for marketing analytics and attribution", "url": "https://www.axios.com/2025/01/28/hockeystack-revenue-analytics-software", "date": "Jan 28, 2025" } ], "launches": [ { "id": 73647, "title": "🏒 HockeyStack — Revenue intelligence & attribution for B2B", "tagline": "How Whatfix, Cognism, and 35+ others analyze marketing and sales performance & generate more pipeline", "body": "### _TL; DR,_\n\n1. _Customers connect all data sources (CRM, ads, web, and product analytics…) to HockeyStack to create a source of truth for customer engagements. No engineering work required._\n2. _HockeyStack shows which channels, campaigns, content, segments, etc. drive the most revenue and active customers._\n3. _HockeyStack creates lists of high-intent accounts that customers can use to launch the most efficient sales & marketing campaigns._\n\nWe’re Arda, Buğra, and Emir. We came from Turkey & dropped out of our first semester of college in the US to build [HockeyStack](https://www.hockeystack.com/?utm_source=launchyc), because we realized that every single B2B enterprise has the same exact #1 problem.\n\n![uploaded image](/media/?type=post&id=73647&key=user_uploads/307556/5a0ce469-00e7-416a-8af0-ba3a7b9f0718)\n\n### Problem\n\nRevenue-facing teams in B2B companies run all their operations on customer data, whether it is managing an advertising budget, launching integrated campaigns, closing deals, or retaining customers. But there is no central system of record for customer data that they can use to run their operations, so instead, they rely on tens of different data tools and spreadsheets.\n\nThe CRM was built for this purpose, but over 20 years it got outdated, and companies found themselves either having to find hacks to format their data to fit the CRM, or build a data warehouse from scratch.\n\n### Solution\n\nHockeyStack collects all data about customer interactions through a web analytics script, a set of integrations to revenue-related business systems (CRM, ads, marketing automation, email, etc.), and data partners.\n\nAny non-technical person in a B2B company can use HockeyStack’s reporting interface to answer complex questions like:\n\n* What marketing channel had the best unit economics this quarter?\n* Which segment of companies do we have the highest account penetration in?\n* What makes a customer buy our software faster?\n* Who are the highest intent companies who have not yet booked a demo with us?\n\n![uploaded image](/media/?type=post&id=73647&key=user_uploads/307556/d86c6313-72ee-42ce-9500-4875f29a8a3b)\n\nThey click into the numbers, and can see a list of accounts behind the report, all of which have their entire history of engagement with the company displayed alongside important firmographics.\n\n![uploaded image](/media/?type=post&id=73647&key=user_uploads/307556/25f109b6-83e0-44d3-bb45-3a5ae267d2de)\n\nThis information can be used to create and export lists of high-intent accounts based on different segmentations out to various marketing and sales platforms to start or accelerate the sales conversation.\n\n### **🙏 Ask**\n\nWe’d love to be introduced to marketing and sales leaders at B2B enterprises or scale-ups!\n\n### 🤲 **Give**\n\nWe’d be happy to help any B2B founder with advice in generating inbound pipeline.\n\nYou can reach me at [bugra@hockeystack.com](mailto:bugra@hockeystack.com) or [LinkedIn](https://www.linkedin.com/in/bgrgndzz/).", "url": "https://www.ycombinator.com/launches/J9r-hockeystack-revenue-intelligence-attribution-for-b2b", "votes": 124, "created_at": "2023-08-01T15:53:50.382Z" } ] }, { "id": 28593, "name": "HyLight", "slug": "hylight", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5bcbb9e93eb3ebbc3a622b3826ec8c2df9b276d7.png", "website": "https://www.hylight.aero/", "all_locations": "Paris, Île-de-France, France", "long_description": "HyLight builds and operates the HyLighters. Our autonomous airships for long range monitoring. We focus on critical infrastructure inspections:\r\n- detecting methane leaks on pipelines.\r\n- defects & vegetation risks on power lines.\r\n- defects & vegetation risks on railways.\r\n\r\nOur innovation, the HyLighter, is a crossover between drone and airship technology. Like a drone, it is easily controllable and transportable. And, like an airship, it is extremely energy-efficient, enabling it to fly for up to 10 hours at slow speed (22mph) for optimal data collection which represents a range of 220miles. \r\n\r\nToday, energy infrastructure operators struggle with conducting inspections that are simultaneously: massive and precise. HyLight offers a solution to precisely detect issues on the infrastructure at an industrial scale, and all of this without emitting GHGs.\r\n\r\nWe are 3 co-founders experienced in hardware and energy companies with Masters in Mechanical Engineering, Computer Science and Business from the best Engineering and Business School in France.\r\n\r\nWe have manufactured 20 HyLighter and are deploying across Europe.", "one_liner": "Unmanned airships for inspecting our critical assets", "team_size": 37, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1687803555, "tags": [ "Hydrogen Energy", "B2B", "Climate", "Energy", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Industrials", "Climate" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hylight", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/hylight.json", "year_founded": 2022, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/hylightaero", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5bcbb9e93eb3ebbc3a622b3826ec8c2df9b276d7.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/62/1694197321070-kiq5u588dbg-f467142732c5e07f85aa96a7b9c386f9/e4fb42eb165fd155d7f09286629d4578.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022713Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=f7a0e201355b3d94e89b2cc6d7221794c8a51b43c1f4e770aae17bb2d8121f27", "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3a84c7aa583e7ae282f0d5c2761491dd74d862f2.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1294200, "full_name": "Thomas Laporte", "title": "Founder", "founder_bio": "Co-founder & CBO at HyLight | My goal is to reduce greenhouse gas emissions. I do that by supporting utilities in taking care of their critical infrastructure (power lines, pipelines, railways etc) and helping them in detecting defects and risks before outages.\n\nThanks to HyLight, our clients replace an old, not adapted solution (helicopter and human based inspections) with a high carbon footprint by our offer (HyLighter based inspection) with zero carbon footprint and no risks for human crews.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/thomaslaporte/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/baa91f6567508aa8dbb57a8367c6b92040bcc085.jpg" }, { "user_id": 939194, "full_name": "Martin Bocken", "title": "Founder", "founder_bio": "Co-founder & CEO of @HyLight. I'm a doer at heart, my engineering background helped me to launch several entrepreneurial projects. I devote my energy to creating and designing the innovations that will enable us to live in a low-carbon world tomorrow. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/martin-bocken/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fc2a3eb98268019633e365686398888f46b8dfc4.jpg" }, { "user_id": 1294012, "full_name": "Josef Rokusek", "title": "Founder", "founder_bio": "Co-founder & CTO of @HyLight. With a boundless passion for innovation and a commitment to sustainable solutions, I've dedicated my life to making a difference in the world. My journey began with a solid foundation in mechanical engineering and sustainable energy. This background provided me with the tools to turn my creative ideas into real-world innovations. My mission? Lead the change in reshaping society's approach to technology, making it environmentally friendly. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/josef-rokusek/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/555fb088667941d22fbe137c580424eb0139aedf.jpg" } ], "jobs": [ { "id": 117429, "title": "Spontaneous application", "url": "https://www.ycombinator.com/companies/hylight/jobs/wlKHnIf-spontaneous-application", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117430, "title": "GNC Drone Engineer Internship", "url": "https://www.ycombinator.com/companies/hylight/jobs/z7p0cKo-gnc-drone-engineer-internship", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117431, "title": "Senior Autonomous Drones Engineer", "url": "https://www.ycombinator.com/companies/hylight/jobs/m0fmCL9-senior-autonomous-drones-engineer", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117432, "title": "Talent Acquisition Intern (6 month Internship)", "url": "https://www.ycombinator.com/companies/hylight/jobs/PZdcMLO-talent-acquisition-intern-6-month-internship", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117433, "title": "Talent Acquisition Specialist (Headhunter)", "url": "https://www.ycombinator.com/companies/hylight/jobs/omvYqPw-talent-acquisition-specialist-headhunter", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117434, "title": "Embedded Software Engineer - Architecture & CI/CD", "url": "https://www.ycombinator.com/companies/hylight/jobs/8x9j1cu-embedded-software-engineer-architecture-ci-cd", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117435, "title": "Airworthiness engineer - Internship", "url": "https://www.ycombinator.com/companies/hylight/jobs/ELojucZ-airworthiness-engineer-internship", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117436, "title": "Mechanical Engineering Internship", "url": "https://www.ycombinator.com/companies/hylight/jobs/U0HI4S7-mechanical-engineering-internship", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117438, "title": "Full-Stack Engineer - Full-time position", "url": "https://www.ycombinator.com/companies/hylight/jobs/R3OoU5W-full-stack-engineer-full-time-position", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117439, "title": "Mechanical Integration and Test Engineer - Full Time Position", "url": "https://www.ycombinator.com/companies/hylight/jobs/c003rLY-mechanical-integration-and-test-engineer-full-time-position", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117440, "title": "Autonomous Drones Engineer", "url": "https://www.ycombinator.com/companies/hylight/jobs/sgux8ud-autonomous-drones-engineer", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117441, "title": "Full-Stack Engineer - Internship", "url": "https://www.ycombinator.com/companies/hylight/jobs/vYK5sYQ-full-stack-engineer-internship", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117442, "title": "Country Lead - Germany", "url": "https://www.ycombinator.com/companies/hylight/jobs/Jj0evaj-country-lead-germany", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117443, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/hylight/jobs/8nkkukr-founding-account-executive", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117444, "title": "Technicien(ne) Assemblage et Fabrication (H/F)", "url": "https://www.ycombinator.com/companies/hylight/jobs/2EbImqI-technicien-ne-assemblage-et-fabrication-h-f", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117445, "title": "Data Engineer, Airships to Cloud", "url": "https://www.ycombinator.com/companies/hylight/jobs/eRWwsMp-data-engineer-airships-to-cloud", "location": "Paris, France / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117446, "title": "Business Development Internship", "url": "https://www.ycombinator.com/companies/hylight/jobs/uQiauPv-business-development-internship", "location": "Paris, France", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117447, "title": "Embedded Software Internship", "url": "https://www.ycombinator.com/companies/hylight/jobs/S6eH5Ss-embedded-software-internship", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117448, "title": "Payload Operator & Embedded Data Analyst - internship", "url": "https://www.ycombinator.com/companies/hylight/jobs/gIiGNF0-payload-operator-embedded-data-analyst-internship", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117449, "title": "Field Operations Manager - Full time position ", "url": "https://www.ycombinator.com/companies/hylight/jobs/NQpVYGb-field-operations-manager-full-time-position", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117450, "title": "Senior Electronics Engineer", "url": "https://www.ycombinator.com/companies/hylight/jobs/ZGY1k4r-senior-electronics-engineer", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117451, "title": "Chauffeur super poids lourd (SPL) Dirigeable (H/F)", "url": "https://www.ycombinator.com/companies/hylight/jobs/6aZ4Bst-chauffeur-super-poids-lourd-spl-dirigeable-h-f", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117452, "title": "Télépilote drone et chargé de réglementation", "url": "https://www.ycombinator.com/companies/hylight/jobs/EFu32H7-telepilote-drone-et-charge-de-reglementation", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117453, "title": "Chief of Staff Associate Intern", "url": "https://www.ycombinator.com/companies/hylight/jobs/QQPRLmY-chief-of-staff-associate-intern", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "French startup HyLight raises €13 million to build autonomous airships", "url": "https://www.aerotime.aero/articles/french-startup-hylight-raises-e13-million-to-build-autonomous-airships", "date": "Oct 12, 2026" }, { "title": "HyLight raises $4M for hydrogen-powered airship drones - Tech.eu", "url": "https://tech.eu/2024/04/15/hylight-raises-4m-for-hydrogen-powered-airship-drones/", "date": "Apr 15, 2024" } ], "launches": [ { "id": 72609, "title": "HyLight 🎈 Hydrogen airships for long range monitoring", "tagline": "We help utility companies inspect their infrastructure in a sustainable & cost-effective way.", "body": "Hello everyone, we are [HyLight](https://www.hylight.aero/). We build small unmanned hydrogen airships to automatically gather massive amounts of precise data in a sustainable and cost-effective way.\n\n🚫 **The problem :**\n\nWe currently focus on:\n\n* 💨 Pipeline inspection to detect methane leaks (4% of global greenhouse gas emissions).\n* ⚡Power line inspection to prevent outages, reduce wildfire risks ($19 billion per year in the US), and ensure grid reliability.\n\nCurrent solutions (helicopters, airplanes, satellites and drones) are not adapted to make accurate, efficient and sustainable observations.\n\n✅ **Our solution** :\\\nOur solution is a crossover between drone and lighter than air technologies, using hydrogen as a lifting gas and power source.\n\n![uploaded image](/media/?type=post&id=72609&key=user_uploads/935793/71bfe7a3-7276-4501-a63f-19311f24fcb5)\n\nThis vehicle combines long range, high payload, and hovering capabilities\n\nWe have already built four prototypes, [two minimum viable products (MVPs)](https://youtu.be/MQLInmqLF7M), and are running a paid pilot with the largest power line company in Europe.\n\n🙏 **Our ask: How you can help**\n\n* **🤝 Refer:** If you know anyone that works in Oil&Gas or utilities please connect us ([thomas@hylight.aero](mailto:thoma@hylight.aero)).\n* **📣 Share:** Share this post with your network.\n* **🔔 Follow:** Follow us on [LinkedIn](https://www.linkedin.com/company/hylightaero).\n\nWe are building the perfect airborne platform to better observe, understand, and improve our world.\n\nJoin us for the flight!\n\n![uploaded image](/media/?type=post&id=72609&key=user_uploads/935793/56584ff9-a2da-41ab-985b-3a830e9f5f67)\n\n", "url": "https://www.ycombinator.com/launches/It7-hylight-hydrogen-airships-for-long-range-monitoring", "votes": 696, "created_at": "2023-06-28T14:55:01.605Z" } ] }, { "id": 28650, "name": "Artie", "slug": "artie", "former_names": [ "Artie Technologies" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/973d2f0c6c4d07505113e974a08d18864eb95d54.png", "website": "https://www.artie.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Artie is software that streams data from databases to data warehouses in real-time. Today, most companies run their ETL process every few hours or overnight, so their data warehouse is always out of date; with Artie, the warehouse always has live production data.", "one_liner": "Software that streams data from databases to warehouses in real-time", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1684375922, "tags": [ "Developer Tools", "SaaS", "Data Engineering", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/artie", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/artie.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/artie-technologies/", "x_url": "https://x.com/artie_labs", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/artie-a438", "github_url": "https://github.com/artie-labs/transfer", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/973d2f0c6c4d07505113e974a08d18864eb95d54.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": 1276059, "full_name": "Jacqueline Cheong", "title": "Founder", "founder_bio": "Co-founder and CEO at Artie. Building the real-time data streaming platform for AI. \n\nWe give companies the kind of streaming pipelines and deep observability that Netflix, DoorDash, and Instacart built in-house - without hiring 10+ engineers and spending 1-2 years on platform work. Artie automates the entire data ingestion lifecycle, from capturing changes to merges, backfills, and observability, and scales to billions of change events per day. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jacqueline-cheong/", "x_url": "https://x.com/JacquelineSYC19", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9ffed376cfde87489929309878adbde531752727.jpg" }, { "user_id": 674147, "full_name": "Robin Tang", "title": "Founder", "founder_bio": "CTO @ Artie. Software engineer with a background in distributed systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tang8330/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7cdcac4bb146b8aabcbb1bc6751fee1c6c37d9b5.jpg" } ], "jobs": [ { "id": 85441, "title": "Enterprise Account Executive", "url": "https://www.ycombinator.com/companies/artie/jobs/HyaHWUs-enterprise-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$240K - $320K", "equity_range": "", "experience": "6+ years", "visa": "Will sponsor", "skills": [] }, { "id": 94613, "title": "Solutions Engineer", "url": "https://www.ycombinator.com/companies/artie/jobs/APdtYeH-solutions-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$175K - $200K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "SQL Server", "Oracle", "Data Warehousing", "Kafka" ] }, { "id": 99179, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/artie/jobs/A5udo6A-product-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 99181, "title": "Senior Software Engineer ", "url": "https://www.ycombinator.com/companies/artie/jobs/7KTFRRy-senior-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $250K", "equity_range": "", "experience": "6+ years", "visa": "Will sponsor", "skills": [] }, { "id": 100518, "title": "Senior Business Development Representative - Enterprise ", "url": "https://www.ycombinator.com/companies/artie/jobs/vv6SEu9-senior-business-development-representative-enterprise", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$115K - $150K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Artie: Real Time Data Streaming For The AI Age", "url": "https://www.youtube.com/watch?v=M57MeOY-n3g", "date": "Jan 26, 2026" }, { "title": "Artie helps companies put data to work faster with real time syncing | TechCrunch", "url": "https://techcrunch.com/2024/02/14/artie-helps-companies-put-data-to-work-faster-with-real-time-syncing/", "date": "Feb 14, 2024" } ], "launches": [ { "id": 111491, "title": "Artie Free Plan: real-time data replication for $0/mo", "tagline": "Stream data to your warehouse or another database, free forever – up to 1M rows a month.", "body": "### TL;DR\n\nArtie streams production data into your warehouse or another database in real time, so your downstream systems and workflows never run on stale data.\n\nWe launched Artie’s Free plan so startups and solo builders can get real-time database replication without a card, sales call, or CDC infrastructure project.\n\n[Check out our launch video:](https://www.youtube.com/watch?v=jXPNzOyPVH0)\n\n### The problem\n\nA solo developer wiring Supabase or Postgres into a warehouse doesn’t want to take on a CDC project. A startup’s first data hire needs fresher data for a product workflow, payments, or support, but doesn’t have a data platform team to build it. A larger company wants to test a narrow use case before pulling in procurement and security.\n\nAll three have the same initial question: will this work with our database, our destination, and our data? Answering that should take less than an afternoon, without needing to put down a credit card or join a sales call.\n\nFor Keep, a fintech startup, setting up a connector on Artie took around 10 minutes. Their team wanted Postgres and MongoDB data in Snowflake, but didn’t want to spend months building and maintaining pipelines. Their CTO’s reason for that was straightforward: he wanted the team differentiating on product, not babysitting data infrastructure. [Read Keep’s story](https://www.artie.com/customer-stories/keep-enables-real-time-data-stack-and-audit-logs?utm_source=ycombinator&utm_medium=organic&utm_campaign=free_plan).\n\n### Why now\n\nStartups are building products and operating workflows around production data with smaller teams than ever. They want that data in their warehouse (or another database) in real time, but need a way to test a real workload without building and running Kafka, Debezium, connectors, and monitoring.\n\n### What's included\n\nArtie Free includes:\n\n* Two active pipelines\n* 1 million billable rows per month\n* Backfills, not counted toward the monthly row limit\n* Sources: Postgres, MySQL, MongoDB, DynamoDB, CockroachDB, DocumentDB, Amazon Keyspaces, and PlanetScale\n* Destinations: Snowflake, BigQuery, Redshift, Databricks, MotherDuck, Postgres, S3, GCS, and ClickHouse\n\n[See the full plan details](https://www.artie.com/pricing?utm_source=ycombinator&utm_medium=organic&utm_campaign=free_plan).\n\n### Artie’s MCP Server\n\nArtie also has [an MCP server,](http://mcp.artie.com/?utm_source=ycombinator&utm_medium=organic&utm_campaign=free_plan) so you can manage pipelines from Claude or Codex instead of switching to the dashboard. You can list and create pipelines, inspect schema changes, manage backfills and connectors, and search the Artie data catalog, all from a conversation.\n\nThe MCP server is now a [ChatGPT Plugin](https://chatgpt.com/plugins/plugin_asdk_app_6a62a153d4088191a5e551ec94e025da?q=artie) and listed in [Claude's connector directory](https://claude.ai/directory/artie). You can also use another MCP-compatible client, such as Cursor, by pointing it at `https://mcp.artie.com/mcp` with an API key from your Artie dashboard. [Full setup docs here](https://www.artie.com/docs/api/mcp?utm_source=ycombinator&utm_medium=organic&utm_campaign=free_plan).\n\n### Our ask\n\nIf you are a founder, solo developer, or first data hire, [try Artie’s Free plan](https://app.artie.com/signup?utm_source=ycombinator&utm_medium=organic&utm_campaign=free_plan) with one real workload. Tell us what gets in the way: permissions, configuration, schemas, or getting the first row through.", "url": "https://www.ycombinator.com/launches/T0F-artie-free-plan-real-time-data-replication-for-0-mo", "votes": 33, "created_at": "2026-08-20T16:50:12.222Z" }, { "id": 102815, "title": "Artie - Real-time data replication to your data warehouse", "tagline": "Give your AI agents fresh data they can actually act on", "body": "**TL;DR:** Artie is a fully managed, real-time data replication tool that streams every row-level change from your production database to your warehouse in under 60 seconds. You can now sign up and start replicating today, no call required. Most teams run their first sync in under an hour.\n\n\n\n**The Problem**\n\nGetting data from your production database to your warehouse in real time has always meant picking your poison.\n\nYou build it yourself: Kafka, Debezium, custom merge logic, months of engineering, and years of maintenance as schemas evolve and the engineers who built it move on.\n\nYou use an existing CDC tool: usually something inherited, unreliable at scale, and not built for the warehouse destinations you're actually running.\n\nOr you accept stale data: dashboards refreshing every 3-24 hours, AI pipelines reasoning over yesterday's snapshot, analytics teams filing 9 am tickets asking why the numbers don't add up.\n\nMost teams are somewhere on this spectrum – either maintaining a pipeline they didn't want to build, or working around data they can't trust. That was a manageable problem when stale dashboards just annoyed your analytics team, but it becomes a bigger beast when AI agents are making pricing decisions, routing support tickets, and scoring risk off the same lagged data.\n\nA warehouse that's 12 hours behind isn't a minor inconvenience anymore – it's a liability.\n\n**The Solution**\n\nSee it work: \n\nArtie handles the entire replication layer so you don't have to. No self-built Kafka stack to maintain, no unreliable CDC tool to babysit, no stale data to apologize for. Connect your source, choose your destination, and your warehouse stays in sync with production continuously.\n\nAI agents are only as good as the data they act on. If your warehouse is hours behind, your agents are too. Artie gives your AI layer what it actually needs: a warehouse that reflects production in real time, without engineering overhead.\n\n**How It Works**\n\nArtie uses change data capture (CDC) to read directly from your database's replication logs – capturing every insert, update, and delete as it happens. Those changes stream continuously to your warehouse, landing in under 60 seconds. There's no bulk export, no scheduled job, no polling. Just a live, accurate reflection of your production data.\n\nUnder the hood, Artie handles the operational complexity: schema changes propagate automatically, delivery is exactly-once even through failures, and your destination tables stay in sync without any pipeline code on your end. The things that take most teams a year or two to get right are already solved.\n\n**Sources:** PostgreSQL, Amazon Aurora/RDS, GCP CloudSQL, Supabase, MySQL, Microsoft SQL Server, MongoDB, DocumentDB, DynamoDB, Oracle, CockroachDB, Amazon Keyspaces (Cassandra), and an Events API\n\n**Destinations:** Snowflake, BigQuery, Redshift, Databricks, ClickHouse, PostgreSQL, MySQL, Microsoft SQL Server, MotherDuck, S3, GCS, Iceberg REST Catalog, and Amazon S3 Tables\n\n**The Team**\n\nRobin (co-founder and CTO) has been building large-scale data pipelines his entire career – from processing 14 billion daily events at [Outbound.io](http://Outbound.io), to filing patents on event streaming at Zendesk, to running data infrastructure at Opendoor. He started Artie because he kept hitting the same ceiling: pipelines that worked until they didn't, and teams spending years maintaining infrastructure that should have been solved.\n\nBefore co-founding Artie, I covered enterprise software at Bank of America and Balyasny Asset Management and kept running into the same gap: companies burning engineering cycles on data pipelines that shouldn't require a team to maintain. We've been building Artie together for three years, went through YC S23, and closed a $12M Series A led by Dalton Caldwell at Standard Capital.\n\n**Our Ask**\n\nIf you're a data engineer or engineering manager tired of stale warehouse data, [try it yourself](https://go.artie.com/launch) today. See real-time replication running in your own environment – not a demo, not a sandbox, but against your actual data.\n\nIf you need private networking, dedicated infrastructure, or compliance support, [book a demo](https://go.artie.com/2822ee) and we'll walk you through what an enterprise setup looks like.\n\n[Try Artie today](https://go.artie.com/launch)", "url": "https://www.ycombinator.com/launches/QkJ-artie-real-time-data-replication-to-your-data-warehouse", "votes": 43, "created_at": "2026-06-09T17:12:18.002Z" }, { "id": 88730, "title": "🐘 Artie for Enterprise - Data Replication at Petabyte Scale", "tagline": "High-volume, low-latency data replication that scales effortlessly", "body": "# TL;DR\n\n[Artie](https://www.artie.com/?utm_campaign=launch-week-q125&utm_source=yc-launch) streams data from databases to data warehouses in real-time and more reliably than traditional ETL solutions. Many companies are still running their ETL process every few hours, so their data warehouse is constantly out of date; with Artie, the data warehouse always has live production data.\n\nArtie was founded to solve an enterprise data movement problem. Today, we’re launching Artie for Enterprise, for teams requiring high-volume, low-latency data replication that scales effortlessly. Whether dealing with massive volumes, strict security requirements, or mission-critical workloads, Artie ensures data is always live, accurate, and easy to manage. 🚀\n\n![uploaded image](/media/?type=post&id=88730&key=user_uploads/89898/675b1398-6b54-40a0-888f-a3f4f487ffc3)\n\n# Problem\n\nEnterprises need real-time, reliable, and secure data replication—but existing solutions make this far more painful than it should be.\n\nTraditional ETL pipelines often run on fixed schedules, updating data warehouses hours behind reality and leaving teams with outdated insights. Many replication tools try to brute-force data movement by running expensive, inefficient queries that **increase load on production databases**, slowing down applications and, in extreme cases, even **bringing them down entirely**. Scaling these systems across thousands of tables typically requires **manual, error-prone configurations**, forcing teams to spend countless hours debugging pipelines just to keep data flowing.\n\nOn top of that, many enterprises operate in highly regulated environments where data can’t be fully offloaded to the cloud. Traditional replication solutions struggle to support hybrid deployments, forcing teams to choose between security and ease-of-use.\n\n# Artie for Enterprise provides reliable, secure, and high-volume data replication\n\n### Terraform support\n\n_“Um, we have thousands of tables to configure. Do I really need to click thousands of times on your dashboard to get connectors set up?”_ We hear this question a lot and our answer is “**Absolutely not”**, which is where our Terraform provider comes in. \n\nJust because your data volume is high does not mean management needs to be equally complex. No more endless clicks—just code it, deploy it, and go.\n\n![uploaded image](/media/?type=post&id=88730&key=user_uploads/1276059/ed2daad8-2763-4dfc-aaad-ea336ba4daf0)\n\n### Multi-step merge\n\nMerging large, frequently updated tables can be expensive and slow. We wanted to solve this problem without forcing customers to increase compute costs or scale up their virtual data warehouses.\n\nWith multi-step merge, Artie now loads data into a staging table in multiple bursts, allowing updates to accumulate before merging into the target table. This reduces latency and improves efficiency. Customers can now control how often data lands in the staging table before triggering a final merge—giving them real-time syncs with more flexibility and cost savings.\n\n![uploaded image](/media/?type=post&id=88730&key=user_uploads/1276059/0dcc6696-60c9-4ab8-a301-9764abbb5756)\n\n### Hybrid deployment\n\nEnterprise-grade replication means deployment flexibility is non-negotiable. There are many organizations out there that handle data containing sensitive information and are required to operate under strict regulations.\n\nOur hybrid deployment model ensures the security of on-premise data processing with the ease of use of cloud services. What’s more? Artie’s fully-managed service allows for zero-maintenance, and removes the need to install and manage client-side agents.\n\n![uploaded image](/media/?type=post&id=88730&key=user_uploads/1276059/5464e25f-5c07-4bbc-8926-ea10fc6c48e1)\n\n### MySQL Connector upgrade\n\nWe’ve made major improvements to our MySQL connector, making it enterprise-grade with improved performance, efficiency, and automation. These updates streamline database operations, reduce disk usage and I/O load, and automates data synchronization without complex configuration requirements and management overhead. \n\nKey improvements include full DDL and gh-ost migration support for seamless, non-disruptive schema changes, automatic fan-in for partitioned tables, and GTID support for reliable transaction replication.\n\n### PostgreSQL CTID scanning\n\nBackfills can be disruptive and resource-intensive. That’s why Artie is built to seamlessly recover from errors and avoid backfills unless absolutely necessary. \n\nHowever, in the event that backfills are required, how do we minimize disruption? Enter PostgreSQL CTID; an alternative backfill method that is **10-20x faster** than traditional methods.\n\n### Datadog integration\n\nAt Artie, we’ve always been big on observability. What good are your data pipelines if nobody has visibility into them? We prioritize accurately monitoring your pipeline performance and making sure you know what’s up. \n\nWith our Datadog integration, you can now track all Artie-exposed metrics directly from your Datadog dashboard. This allows you to **proactively monitor pipeline performance, set up custom alerts**, and build dashboards for deeper insights.\n\nStay on top of your data pipeline health—effortlessly.\n\n![uploaded image](/media/?type=post&id=88730&key=user_uploads/1276059/38889e0e-30ca-495f-b777-4af640e9aa3b)\n\n# Curious to learn more?\n\nFollow our journey on [LinkedIn](https://www.linkedin.com/company/artie-technologies), [X](https://x.com/artie_tech) and reach out to us [here](https://www.artie.com/contact?utm_campaign=launch-week-q125&utm_source=yc-launch) to see how you can benefit from enterprise-grade replication!", "url": "https://www.ycombinator.com/launches/N58-artie-for-enterprise-data-replication-at-petabyte-scale", "votes": 17, "created_at": "2025-03-18T14:06:08.364Z" }, { "id": 76461, "title": "Artie’s Analytics Portal - Real-time data pipeline observability", "tagline": "Real-time observability into database pipelines and peripheral infrastructure", "body": "# TL;DR\n\n[Artie](http://www.artie.so) is a real-time database replication solution. We leverage change data capture (CDC) and stream processing to perform data syncs in a more efficient way, which enables sub-minute latency and helps optimize compute costs. Today, we’re launching our Analytics Portal to provide visibility into our streaming pipelines and offer production-level monitoring for related system infrastructure out-of-the-box.\n\nWith the Analytics Portal, we hope to help alleviate some of the challenges that data teams face when running their data stack. By offering real-time observability into database pipelines and peripheral infrastructure, we hope companies can increase their understanding of how systems impact one another, reduce downtime/debug issues faster, and generate proactive alerts to maintain robust infrastructure. \n\n# **Visibility related to database replication is lacking**\n\nThe core of database replication is transferring data in a timely, accurate, and reliable manner. This is table stakes. In addition, there is a lot more happening in the peripheral, such as database monitoring, data pipeline visibility, data latency monitoring, and others. Data engineers need visibility to answer questions like: \n\n* How many rows have been synced in the past hour? How does that compare to the average/median/last month? \n* What is the data latency for our organization’s three most important tables? What are the factors that impact data latency and how are those metrics trending? \n* How are my systems performing?\n * Are there any database permission errors that may cause my data pipeline to go down? \n * Are my databases sized correctly? How is CPU, memory, and storage utilization? \n * Is my replication slot growing? By how much?\n\n \n\nSetting up these metrics and monitors is important to help with debugging and maintaining a robust database replication solution. However, this requires expertise and domain knowledge that may not be accessible at every company. There is also no standardization of which metrics to track and what benchmarks to follow. To make matters worse, when it comes to adopting cloud solutions, database/pipeline visibility is severely limited. When pipelines break down, customers are often left in the dark, not knowing what broke, why it broke, and how to fix it. \n\n# **Artie’s Analytics Portal unlocks visibility & reduces MTTD**\n\nWe are extremely excited to announce our Analytics Portal to increase the visibility and observability of our streaming pipelines. This will provide insights into system-level infrastructure and help with monitoring database and pipeline health. When identifying and resolving issues, one of the most important metrics is to reduce MTTD (mean time to detection). With Artie’s streaming pipelines and periodic jobs like [Postgres Watcher](https://docs.artie.so/real-time-sources/postgresql#postgresql-watcher), metrics are being sent to our Analytics Portal in flight, as the underlying data is still being processed. \n\n![uploaded image](/media/?type=post&id=76461&key=user_uploads/1276059/f4fe85ba-5ced-4892-9653-ed030638826d)\n\nWith the first iteration of our Analytics Portal, we are providing industry-standard telemetry to streaming pipelines and related infrastructure. Data teams will be able to observe the following: \n\n* Data ingestion latency by table and database/deployment\n* Operation distribution by table and database/deployment\n* Rows synced by table and database/deployment\n* Database monitors that are related to and can impact pipeline performance: \n * Permission errors that may interfere with data replication\n * Replication slot size\n * Free disk space\\*\n * CPU utilization\\*\n * Memory and Disk I/O (input/output)\\*\n * Average transaction time\\*\n * Existence of long-running queries\\*\n\n\\*coming soon\n\n# Production level monitoring out-of-the-box\n\nThe Analytics Portal initially comes with a set of pre-built charts and monitors. Customers are able to drill down to get deployment, database, and table-level statistics.\n\n![uploaded image](/media/?type=post&id=76461&key=user_uploads/1276059/bcbbd68a-9808-48c5-92e5-1f61b53f9d86)\n\n![uploaded image](/media/?type=post&id=76461&key=user_uploads/1276059/b5ec3d58-4f94-4af0-89d3-14ab920b2003)\n\nThe pre-built monitors that we are launching with include alerts for database permission errors and replication slot growth (for Postgres users). Over time, we will add alerting for the other monitors we mentioned above and more. This enables customers to have production-level monitoring set up out-of-the-box for their business-critical data. \n\nFor example, an e-commerce company might be watching its `online transactions` table closely during the holidays. Let’s say they observe data ingestion latency going up for `online transactions`. They zoom out and realize it’s not just the `online transactions` table that is experiencing higher latency, but all tables under their Postgres connector are impacted and very few rows have been synced in the past 5 minutes. To troubleshoot this, they look over to the database monitors and realize their database’s replication slot has been growing and the culprit is a long-running query that has locked the table and is preventing Postgres from advancing the replication slot. After a quick Slack message to their internal DevOps team, the query is killed and the issue is resolved. \n\n# Making the Analytics Portal more actionable & customizable over time\n\nOver time, we will make the data more actionable and customizable. In the near future, we plan to enable row-based monitoring such that customers can monitor custom business logic. In addition to the pre-built charts and monitors that we provide out-of-the-box, we want to allow customers to create custom charts and configure views based on metrics that matter to their business. \n\nFor example, say you are working at a Fintech company that wants to monitor live transactions to detect fraud and abuse on your platform. You have a `transactions` table and this table is being synced to your Snowflake instance. You should be able to generate a chart to plot the average, median, p95, and max transaction sizes across various lookback periods (30 minutes, 1 hour, 24 hours, 7 days, etc). Then you can set up business logic monitors such as:\n\n* Flag transactions that are 1.5 standard deviations above average coming from a merchant who signed up on the platform less than one week ago\n* Flag key accounts where transaction volume has increased above or fallen below a certain threshold in the past hour\n\n![uploaded image](/media/?type=post&id=76461&key=user_uploads/1276059/1a22097c-f925-43c4-9fac-c5bf5035b55d)\n\nDepending on how you’d like to be notified, Artie plans to support the following escalation channels:\n\n* Email\n* Slack\n* Webhooks\n\nIn this example, the escalation channel is a webhook to your API server so you can then run a more rigorous machine-learning fraud model against a particular merchant account or transaction.\n\n# **Contact us at **[**hi@artie.so**](http://www.artie.so)** to learn more!**", "url": "https://www.ycombinator.com/launches/JtF-artie-s-analytics-portal-real-time-data-pipeline-observability", "votes": 24, "created_at": "2023-11-27T17:42:21.200Z" }, { "id": 72536, "title": "Artie - real-time data streaming for databases ⚡", "tagline": "We transfer data from databases to data warehouses in real-time with CDC streaming", "body": "# _TL;DR_\n\n_Artie is an open-source, streaming version of Fivetran - we transfer data from databases to data warehouses in real-time. Setting up a connector takes minutes and Artie leverages change data capture (CDC) to help companies reduce their data warehouse costs by 50%! We enable organizations to unlock real-time insights for better decision making. _[_Star us on GitHub_](https://github.com/artie-labs/transfer)_!_\n\n![uploaded image](/media/?type=post&id=72536&key=user_uploads/1276059/60958f68-f519-4d78-bb98-c2c33974cb39)\n\nHi everyone, we are Jacqueline and Robin and we’re the team behind [Artie](https://www.artie.so/?utm_source=YC&utm_medium=newsletter&utm_campaign=launchYC&utm_id=launchYC). We’re on a mission to eliminate data latency and make it easy for every company to enable real-time data streaming!\n\nData is typically synced from production databases to the data warehouse once every X hour(s)/day(s) - this is a constraint that companies have lived with for decades. Robin personally felt the pain of not having access to production data in real-time and there were no easy to use out-of-the-box solutions, so we decided to build one! \n\n# **❌ The Problem**\n\nDoes your company sync data to the data warehouse every 6 hours, or worse, once a day? Are your analytics always lagged and filled with stale insights? **Why settle for a data platform that’s barely good enough when you can have real time data AND reduce your data warehouse costs?!** Not to mention you can have Artie set up in minutes!\n\nTraditional ETLs are based on **batched processes** that operate on a cron schedule (DAGs, Airflow) and **cannot achieve real-time data syncs**.\n\nBuilding and managing streaming data pipelines is hard. Most companies have a small team of data engineers and they often spend all day maintaining their data pipelines, which is not productive.\n\nFactors companies should consider if they want to self-manage pipelines:\n\n* Can the solution scale to multiple different data sources?\n * How easy is it to add new data sources?\n * How easy is it to manage across all the data sources?\n* Can the solution scale to handle 1m+ queries per second?\n * Is the solution horizontally scalable?\n * Do workers require coordination? Or are they stateless and distributed?\n* How do you ensure there are no out of order or missing events (even when the system crashes)?\n* Can the solution handle schema evolution without creating breaking changes downstream?\n\n# **🎉 Solution**\n\nArtie leverages change data capture (CDC) and stream processing to achieve **sub-minute data latency (\\~typically 10-20 seconds)**. Since we **only transfer changed data**, Artie is more efficient than traditional ETLs and can help you **cut down on your data warehouse cost by 50%!**\n\nSetting up a connector requires no programming. Just follow the setup guide and deploy in minutes! After the initial snapshot, any changes in your database will be reflected in your data warehouse in real-time.\n\n![uploaded image](/media/?type=post&id=72536&key=user_uploads/1276059/879c552d-7c8a-402e-9378-56f55380308a)\n\n# **🎯 Who Needs Artie?**\n\n**Engineers** that are exhausted stitching together Airflow + AWS Glue + Apache Spark + AWS Kinesis/Kafka + Apache Flink 😵‍💫\n\n**Companies that are using traditional ETLs or batched processes**. Once you enable real-time, there is no going back (your data engineers/BI analysts won’t let you)! Think of all the previously unattainable use cases that you can now implement without data latency.\n\n**Companies that have a cost cutting initiative.** Adopt Artie’s CDC streaming capabilities to reduce your data warehouse costs!\n\n# **🙏 Ask**\n\nEmail [hi@artie.so](mailto:hi@artie.so) or sign up [here](https://artie.so/contact?utm_source=YC&utm_medium=newsletter&utm_campaign=launchYC&utm_id=launchYC) to try Artie today! \n\nWant to use open source? Install Artie at (give us a ⭐!) and ping us on [Slack](http://artie.so/slack?utm_source=YC&utm_medium=newsletter&utm_campaign=launchYC&utm_id=launchYC), we’re happy to help you get started.", "url": "https://www.ycombinator.com/launches/Irw-artie-real-time-data-streaming-for-databases", "votes": 108, "created_at": "2023-06-26T15:13:53.399Z" } ] }, { "id": 28659, "name": "PeerDB", "slug": "peerdb", "former_names": [ "PeerDB Inc" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a83477f0ae90481f26400baea36bd4c2fed890a.png", "website": "https://peerdb.io/", "all_locations": "", "long_description": "At PeerDB, we are building a fast, simple and the most cost effective way to stream data from Postgres to Data Warehouses, Queues and Storage engines. If you are running Postgres at the heart of your data-stack and move data at scale from Postgres to any of the above targets, PeerDB can provide value.\r\n\r\n\r\nWe support different modes of streaming - log based (CDC), cursor based (timestamp or integer) and XMIN based. Performance wise, we are 10x faster than existing tools. Features wise, we support native Postgres features such as comprehensive set of data-types incl. jsonb/arrays/postgis, efficiently streaming toast columns, schema changes and so on.", "one_liner": "Fast, native ETL for Postgres 🐘 🚀", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1686776037, "tags": [ "Developer Tools", "Open Source", "Data Engineering", "Enterprise Software", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Existing ETL tools primarily focus on supporting a wide range of data-stores. However, they fall short in providing a rich experience for any two specific data-stores. This becomes evident when your workloads need scale or have demanding feature requirements. It is common for such users to try out these tools and fail – tools not meeting their performance and reliability SLAs or lacking the required features. Such users resort to developing their own in-house solutions, investing a lot of time and resources. This was a common pattern across various customers at our previous companies (Microsoft, Google)" } ], "url": "https://www.ycombinator.com/companies/peerdb", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/peerdb.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/peerdb", "x_url": "https://twitter.com/PeerDBInc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a83477f0ae90481f26400baea36bd4c2fed890a.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": 728174, "full_name": "Sai Srirampur", "title": "Founder", "founder_bio": "Building world’s best data-movement experience for Postgres. Ex-Microsoft - Headed Solutions Engineering all up for PostgreSQL on Azure, Ex-Citus Data (YCS11 acq. Microsoft) - Early Engineer, IIIT-H Alumnus, He/His", "is_active": true, "linkedin_url": "https://linkedin.com/in/sai-krishna-s-1741b019", "x_url": "https://twitter.com/saisrirampur", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b5faa67a88cc0f276aeb999922dbb9c96ce2114.jpg" }, { "user_id": 311868, "full_name": "Kaushik Iska", "title": "Founder", "founder_bio": "Working on PeerDB to make the Postgres ETL story stellar. Previous work experience includes leading teams at Google, Palantir, Safegraph.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kaushikiska", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd7eaf287a144feb541e7737067323cf99cfe845.jpg" } ], "jobs": [], "news": [ { "title": "Real-time database startup ClickHouse acquires PeerDB to expand its Postgres support | TechCrunch", "url": "https://techcrunch.com/2024/07/30/real-time-database-startup-clickhouse-acquires-peerdb-to-expand-its-postgres-support/", "date": "Jul 30, 2024" }, { "title": "PeerDB raises $3.6 million seed funding to revolutionize data movement for PostgreSQL", "url": "https://blog.peerdb.io/peerdb-raises-3-6-million-seed-funding-to-revolutionize-data-movement-for-postgresql", "date": "Apr 11, 2024" }, { "title": "PeerDB raises $3.6M to accelerate PostgreSQL data movement - SiliconANGLE", "url": "https://siliconangle.com/2024/04/11/peerdb-raises-3-6m-accelerate-postgresql-data-movement/", "date": "Apr 11, 2024" }, { "title": "Launch HN: PeerDB (YC S23) – Fast, Native ETL/ELT for Postgres | Hacker News", "url": "https://news.ycombinator.com/item?id=36895220", "date": "Jul 26, 2023" } ], "launches": [ { "id": 72937, "title": "PeerDB - Modern ETL in minutes, with SQL", "tagline": "Data store-first ETL/ELT, enabling 10x faster syncs and transforms", "body": "## **TL;DR**\n\nPeerDB is a Postgres-compatible SQL interface to seamlessly integrate multiple data stores. It enables data engineers to sync, transform and query data across their stores using simple SQL commands. PeerDB takes a data store native approach in engineering — enabling 10x faster ETL/ELT.\n\n## **Problem**\n\nExisting ETL/ELT tools primarily focus on supporting a wide range of connectors at the expense of delivering high-quality ones. This becomes evident when your workloads need scale or have demanding feature requirements. While Sai was working at Microsoft, it was common to see large enterprise customers try out the existing ETL tools and fail – as the tools were not meeting performance and reliability SLAs or were lacking the required features. Customers spent significant time and resources to build and manage in-house data pipelines.\n\n## **Our Solution**\n\n### Data-store nativity at its core, enabling 10x faster ETL/ELT\n\nPeerDB takes a data store-first approach to data movement. It supports highly adopted stores and implements multiple infrastructural and data store native optimizations – providing a blazing-fast and feature-rich ETL experience.\n\nWe are starting our journey by providing the world's best data integration/ETL experience for **PostgreSQL,** [one of most used and popular databases](https://db-engines.com/en/ranking_trend/system/PostgreSQL). For example, on Postgres we parallelize initial load for larger tables using CTID scans. This yields orders of magnitude speedups - Syncing 100s of GB reduces from days to minutes.\n\nOur architecture is designed for real-time syncs, which enables 10x faster Change Data Capture with data freshness of a few seconds even at large throughputs (10k+ tps). For example, in a sync from Postgres to BigQuery or Snowflake, PeerDB is 10 times faster than other tools and provides <30s data-freshness guarantees.\n\n![uploaded image](/media/?type=post&id=72937&key=user_uploads/728174/dc134471-e0d0-48c5-bbda-6d2ec339c421)\n\n### SQL as the ETL/ELT standard\n\nThe Postgres-compatible SQL layer for ETL makes the life of data engineers very easy. They can develop pipelines using a framework they are familiar with, without needing to deal with custom UIs and REST APIs. They can use [Postgres' 1000s of integrations](https://github.com/PeerDB-io/peerdb#postgres-compatible-sql-interface-to-do-etl) to build and manage ETL.\n\nWe extend Postgres' SQL grammar with a few new intuitive SQL commands to enable real-time data streaming across stores. As we evolve, we will make this grammar richer and the standard for ETL/ELT.\n\n## **Our Asks**\n\nIf PostgreSQL is a critical component of your data stack and you are running into challenges moving data in and out of Postgres, reach out to us at [founders@peerdb.io](mailto:founders@peerdb.io) or join our waitlist at We would love to collaborate!\n\nAlso check out PeerDB’s Open Source repo - (don’t hesitate to leave us a star!)\n\n## **Finally, a bit about us**\n\nWe are Sai and Kaushik. We've been best buddies for the past 15 years now. We were roommates back in undergrad and actively collaborated since then. Now we have decided to start a business together! 🙂\n\n![uploaded image](/media/?type=post&id=72937&key=user_uploads/728174/4795901c-d1ac-4e3e-b565-7113c9ef3ca0)\n\nPrior to PeerDB, Sai worked at Microsoft leading Solutions Eng. for all PostgreSQL services on Azure. He was an early engineer at Citus Data (YC S11) and saw it through the Microsoft acquisition. Prior to PeerDB, Kaushik built operating systems and led data teams at Google, Safegraph and Palantir. He also represented India in ACM ICPC World Finals. With our diverse and complementary experiences, we are excited and confident to build the next-generation ETL/ELT!", "url": "https://www.ycombinator.com/launches/IyP-peerdb-modern-etl-in-minutes-with-sql", "votes": 60, "created_at": "2023-07-11T16:24:18.528Z" } ] }, { "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": 28663, "name": "kapa.ai", "slug": "kapa-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/274c05ef6658ba8b2d341c95ee4d90f16444919c.png", "website": "https://www.kapa.ai", "all_locations": "Remote", "long_description": "kapa.ai makes it easy for technical companies to build AI support and onboarding bots for their users. Teams at +150 leading startups and enterprises incl. OpenAI, Mixpanel, Mapbox, Docker, Next.js and Prisma use kapa to level up their developer experience and reduce support.\r\n\r\nWe enable companies to use their existing technical knowledge sources incl. docs, tutorials, chat logs, and GitHub issues to generate AI bots that answers developer questions automatically. More than 750k developers have access to kapa.ai via website widgets, Slack/Discord bots, API integrations, or via Zendesk.", "one_liner": "The fastest way to build AI assistants on technical content", "team_size": 22, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1689019081, "tags": [ "Generative AI", "AI", "Conversational AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "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/kapa-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/kapa-ai.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/kapa-ai/", "x_url": "https://twitter.com/kapa_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/274c05ef6658ba8b2d341c95ee4d90f16444919c.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": 377661, "full_name": "Emil Soerensen", "title": "Founder", "founder_bio": "Emil is the co-founder and CEO of kapa.ai (S23). Previously worked as an Engagement Manager at McKinsey & Company. Holds an MSc in Computer Science from Imperial College London and an MSc in Finance from London School of Economics (both with Finn!). 👋", "is_active": true, "linkedin_url": "https://linkedin.com/in/sorensenemil", "x_url": "https://twitter.com/emilsnotes", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6e147cef5274414bce9905c3d91fa9935b8bfb9e.jpg" }, { "user_id": 1316966, "full_name": "Finn Bauer", "title": "Founder", "founder_bio": "Finn is the co-founder and CTO of kapa.ai (S23). Previously worked as a software engineer at Bloomberg. Holds an MSc in Computer Science from Imperial College London and an MSc in Finance from the London School of Economics (both with Emil!).", "is_active": true, "linkedin_url": "https://de.linkedin.com/in/finn-bauer-533bb0130", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/06dfb46eb6d6cd86292373df38f8a020a01716df.jpg" } ], "jobs": [ { "id": 76640, "title": "Software Engineer (Full-stack)", "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/JPE2ofG-software-engineer-full-stack", "location": "GB / EG / RU / UA / TR / FR / IT / ES / PL / RO / KZ / NL / BE / SE / CZ / GR / PT / HU / AT / CH / BG / DK / FI / NO / SK / LT / EE / DE / Remote (GB; EG; RU; UA; TR; FR; IT; ES; PL; RO; KZ; NL; BE; SE; CZ; GR; PT; HU; AT; CH; BG; DK; FI; NO; SK; LT; EE; DE)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "0.10% - 0.30%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Python", "React" ] }, { "id": 76641, "title": "Research Engineer, Applied AI", "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/huRVu7n-research-engineer-applied-ai", "location": "GB / DE / FR / NO / DK / SE / FI / PT / ES / BE / NL / IT / CH / AT / CZ / PL / EE / LV / LT / SK / HU / SI / HR / RU / UA / Remote (GB; DE; FR; NO; DK; SE; FI; PT; ES; BE; NL; IT; CH; AT; CZ; PL; EE; LV; LT; SK; HU; SI; HR; RU; UA)", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$100K - $170K", "equity_range": "0.10% - 0.20%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 84623, "title": "Marketing Lead", "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/TZzJDh1-marketing-lead", "location": "DK", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$70K - $110K", "equity_range": "0.03% - 0.10%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Data Analytics" ] }, { "id": 88827, "title": "Business Development Representative (US)", "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/aCsYP7G-business-development-representative-us", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$70K - $110K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 90015, "title": "Senior Business Development Representative (US)", "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/db5rGnR-senior-business-development-representative-us", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80K - $120K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92252, "title": "Account Executive (US)", "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/NxbHVIS-account-executive-us", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $300K", "equity_range": "0.01% - 0.05%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 92254, "title": "Account Executive (Europe)", "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/O7WYqau-account-executive-europe", "location": "DK / Remote", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K - $200K", "equity_range": "0.01% - 0.05%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 93115, "title": "GTM Associate (US)", "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/HqFQ5xA-gtm-associate-us", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$70K - $120K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 93116, "title": "Commercial Associate", "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/HRn1sN0-commercial-associate", "location": "DK", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $100K", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "kapa.ai Secures $3.2M to Advance Technical AI Assistants - kapa.ai - Instant AI answers to technical questions", "url": "https://www.kapa.ai/blog/kapa-ai-secures-3-2m-to-advance-technical-ai-assistants", "date": "Oct 03, 2024" } ], "launches": [ { "id": 72954, "title": "kapa.ai: ChatGPT for developer-facing products", "tagline": "We help companies improve developer experience and reduce technical support", "body": "**TL;DR:** We make it easy for developer-facing companies to **build AI support bots** for their community. Teams at **OpenAI, Airbyte** and **NextJS** use [kapa.ai](http://kapa.ai) to help onboard new users and reduce support.\n\nWe’re Finn and Emil, the co-founders of [kapa.ai](http://kapa.ai). 👋\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n![uploaded image](/media/?type=post&id=72954&key=user_uploads/377661/b1c2d0fe-221f-4319-8689-e8d1bef81e5f)\n\n### **The challenge:** Software has a discovery problem\n\n* **For users:** Have you ever struggled to find what you were looking for on a docs site? We have. And so have the [30 million](https://www.statista.com/statistics/627312/worldwide-developer-population/) other developers in the world.\n* **For maintainers**: Have you ever been pulled out of your work to respond to a customer question that could have been answered by your docs? We have. And so have engineers at the [\\+15,000](https://www.linkedin.com/) developer-facing companies in the world.\n\nThe idea to build [kapa.ai](http://kapa.ai) initially came from a friend that runs a developer-facing company complain about the amount of **“read the f’ing manual” questions** they get and how much of their **engineers’ time** that costs.\n\n### **How we’re solving it:** “ChatGPT” for your docs\n\nWe’ve built a full retrieval augmented generation stack that enables developer-facing companies to **ingest any technical sources into an LLM** and expose it to their community where they have questions.\n\nThe bread and butter of what we’ve been building is a super scalable and **state-of-the-art crawling infrastructure** to ensure high quality data is kept up to date and compatible with LLMs.\n\n![uploaded image](/media/?type=post&id=72954&key=user_uploads/377661/d137227b-004e-493e-bab0-699542312593)\n\nHere are a few examples of how companies are deploying [kapa.ai](http://kapa.ai):\n\n* [**Langchain:**](https://twitter.com/LangChainAI/status/1623752516705067008) **Discord** **bot** in community of 30k devs\n* [**Anyscale**](https://docs.ray.io/en/latest/): **Docs widget** on website of project with +25k stars\n* [**Netlify:**](https://twitter.com/Netlify/status/1651994857391681537) Custom built docs widget on top of **our API** available to their +1 million users\n\nIn addition to reducing support, we’re also helping companies **identify gaps in their documentation and products** by analyzing the answers of their [kapa.ai](http://kapa.ai) bot.\n\n### **Who’s building:** Emil and Finn 👋\n\n![uploaded image](/media/?type=post&id=72954&key=user_uploads/377661/d4aaa0f0-f347-494e-aae7-d4b5e537b114)\n\nWe met +6 years ago in London and ended up doing **two master’s degrees together**: (1) Finance at London School of Economics, and (2) Computer Science at Imperial College London.\n\nWhile building [kapa.ai](http://kapa.ai), Finn (CTO) leans towards doing most of the engineering, bringing his experience from building low-latency trading systems at Bloomberg, although he also did sales at Goldman Sachs and JPMorgan. Emil (CEO) handles most of the business, bringing his experience as an Engagement Manager at McKinsey & Company, but also ships, which he learnt while building applied AI systems at startups.\n\n### **The ask:** Want to reduce developer support?\n\nWe’d love to help your company deploy a [kapa.ai](http://kapa.ai) bot (takes less than 24hrs!). And we’re always looking to connect with folks at developer-facing companies if you’d be up for making an intro.\n\nReach us at [founders@kapa.ai](mailto:founders@kapa.ai) or [sign up for access here](https://www.kapa.ai/early-access) and mention “YC Launch” Thank you so much.", "url": "https://www.ycombinator.com/launches/Iyg-kapa-ai-chatgpt-for-developer-facing-products", "votes": 79, "created_at": "2023-07-11T19:05:10.691Z" } ] }, { "id": 28707, "name": "Kino AI", "slug": "kino-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a0a46950ff7350dee9729b6aa2da1c83cce56306.png", "website": "https://kino.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Kino is a web-native video editor where your footage, your team, and your AI agents work together — video editing never had its Figma moment, and it certainly never had its Cursor moment. We proved our platform on Hollywood's biggest shows, and soon it's free for everyone.", "one_liner": "Kino is an AI media manager and video editor for humans and agents.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1689168813, "tags": [ "Entertainment", "Video", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kino-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/kino-ai.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kino-ai/", "x_url": "https://twitter.com/trykino", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a0a46950ff7350dee9729b6aa2da1c83cce56306.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/52609552ecc219aa286d083e6762bd2c7d259e8c.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 312544, "full_name": "Luke Igel", "title": "Founder", "founder_bio": "MIT '23. Formerly NASA JPL, SpaceX, Slack, CSM, KoKo.", "is_active": true, "linkedin_url": "https://linkedin.com/in/igel", "x_url": "https://twitter.com/lukeigel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a9a158b88470f651167c3e4c3e4fc38f56a0cde4.jpg" } ], "jobs": [ { "id": 85108, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/kino-ai/jobs/4ur7YIG-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $185K", "equity_range": "0.75% - 2.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 73000, "title": "📸 Kino AI - Silicon Valley meets Hollywood", "tagline": "Kino automatically organizes footage so filmmakers can edit faster.", "body": "Hey! [Wes](https://www.linkedin.com/in/wesleyblock/) and [Luke](https://www.linkedin.com/in/igel/) here! We’re building software for filmmakers at [Kino AI](https://kino.ai).\n\nLuke Igel and I actually started our entrepreneurial journey as amateur documentary filmmakers. We met as freshman at MIT in 2018 and have been friends ever since. In November 2020, we began working together on a [feature-length documentary film](https://regressions.net) about the history of MIT and technology in the United States. It’s called MIT:Regressions.\n\n![uploaded image](/media/?type=post&id=73000&key=user_uploads/1357272/52fb4698-dd83-4a2b-8d92-5c62be30347e)\n\nMaking Regressions inspired us to build tools that help professional storytellers.\n\n### **Cool…but what’s the problem?**\n\nImagine watching this footage and transcribing all of the slated information by hand.\n\n![uploaded image](/media/?type=post&id=73000&key=user_uploads/1357272/43e60a01-2a4a-4ab2-a5be-7db2bbeec90e)\n\nPeople have to do this - and much more - to organize the troths of footage that go into a movie, or a commercial, or a trailer, or a YouTube video, or a…you get the point.\n\nThe process of manually logging this _metadata_ is expensive and time consuming, and mistakes can be catastrophic.\n\n# What does Kino do?\n\nKino automatically infers metadata and uses it to label and organize footage, saving hours every day for assistant editors. We transcribe audio and “describe” the video and turn an unstructured mountain of footage into a useful index. And it all happens locally on the editor’s machine.\n\n![uploaded image](/media/?type=post&id=73000&key=user_uploads/1357272/f705576a-30de-41fe-ae3a-f74397903714)\n\nOur first feature lets users use natural language to find specific moments within their entire footage library. Check out this [demo video](https://www.youtube.com/watch?v=lwon6fWvmco)!\n\n### Want to use Kino at your company?\n\nWe’re running pilots with production companies, creative agencies, and corporate video teams. Please contact sales: [sales@trykino.com](mailto:sales@trykino.com)\n\nConnect with us!\n\n* Sign up for our mailing list! ([https://kino.ai)](http://trykino.com)\n* Follow us on Twitter! ([twitter.com/trykino](http://twitter.com/trykino))\n* Follow us on Instagram! ([instagram.com/try.kino](http://instagram.com/try.kino))\n* Or reach out directly. We appreciate introductions to media professionals, and always welcome words of encouragement. Drop us a note at [hello@trykino.com](mailto:hello@trykino.com)\n\n![uploaded image](/media/?type=post&id=73000&key=user_uploads/1357272/0cafe0de-299d-4421-aa52-7809250926e0)\n\n\\-Wes and Luke", "url": "https://www.ycombinator.com/launches/IzQ-kino-ai-silicon-valley-meets-hollywood", "votes": 167, "created_at": "2023-07-12T19:02:29.659Z" } ] }, { "id": 28743, "name": "Leafpress", "slug": "leafpress", "former_names": [ "Leafpress" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8b397defdcecf4c281122216507cb5239f88b392.png", "website": "https://www.trycardinal.ai/", "all_locations": "", "long_description": "AI-Native Utility Management", "one_liner": "AI Energy Management", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1689209330, "tags": [ "Enterprise", "Enterprise Software", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/leafpress", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/leafpress.json", "year_founded": 2025, "city": null, "country": null, "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8b397defdcecf4c281122216507cb5239f88b392.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/aca1516addb270f93f3487c24e60b659fd5bb217.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1244892, "full_name": "Devi Jha", "title": "Founder", "founder_bio": "Devi dropped out from Harvard with(out) a degree in Computer Science. YC S23 with an energy software company, sold it to Johnson Controls (NYSE: JCI).", "is_active": false, "linkedin_url": "https://linkedin.com/in/devishijha", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5feb78146a61be2f7a5e8872004e378e7be83d8.jpg" }, { "user_id": 663394, "full_name": "Jianna Liu", "title": "Founder", "founder_bio": "Jianna graduated from MIT with a degree in computer science. She has worked on the software teams at Meta, DoorDash, Nvidia. Previously YC S23, energy software company. Acquired by Johnson Controls (NYSE: JCI)", "is_active": false, "linkedin_url": "https://linkedin.com/in/jianna-liu-90747413b", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/27d211f97bb944135f4095da5b25aeeba4d23af2.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28744, "name": "Reworkd", "slug": "reworkd", "former_names": [ "Reworkd", "Reworkd AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0530c04819d4d4e9f06ad3bb6fed6b85f152baf.png", "website": "https://reworkd.ai", "all_locations": "San Francisco, CA, USA", "long_description": "At Reworkd, we're working on multimodal LLM agents that serve as the simplest way to extract web data at scale. Customers come to us with lists of 100s to 1000s of websites along with a data schema. Our agents traverse these websites, understand their structure, and generate code to extract data from them.\r\n\r\nWe've been working on LLM agents since their inception and have received over 30k stars on GitHub and 1M+ users across previous agent products. If you're interested in our pilot program, shoot us an email!", "one_liner": "The simplest way to extract web data at scale", "team_size": 1, "industry": "B2B", "subindustry": "B2B", "launched_at": 1686444973, "tags": [ "Generative AI", "B2B", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/reworkd", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/reworkd.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/reworkd", "x_url": "https://twitter.com/reworkdai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/reworkd/AgentGPT", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0530c04819d4d4e9f06ad3bb6fed6b85f152baf.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1285282, "full_name": "Srijan Subedi", "title": "Founder", "founder_bio": "Co-founder at Reworkd AI. Combined major in Science at UBC. Previously worked at STEMCELL Technologies and Heart Lung Innovation as a Clinical Researcher. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/srijansubedi", "x_url": "https://twitter.com/SrijanSubedii", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6d05d7ab7f00e36bfc1345ced4b47de0c1d85e5.jpg" } ], "jobs": [], "news": [ { "title": "After AgentGPT's success, Reworkd pivots to web-scraping AI agents | TechCrunch", "url": "https://techcrunch.com/2024/07/24/reworkd-paul-graham-nat-friedman-daniel-gross-scrape-ai-agents/", "date": "Jul 24, 2024" }, { "title": "After AgentGPT's success, Reworkd pivots to web-scraping AI agents | TechCrunch", "url": "https://techcrunch.com/2024/07/24/reworkd-paul-graham-nat-friedman-daniel-gross-scrape-ai-agents/", "date": "Jul 24, 2024" }, { "title": "YC-backed Reworkd secures $1.65 million CAD to build AI agents for business tasks | BetaKit", "url": "https://betakit.com/yc-backed-reworkd-secures-1-65-million-cad-to-build-ai-agents-for-business-tasks/", "date": "Jul 18, 2023" }, { "title": "AgentGPT: Build, configure and deploy autonomous AI agents in your browser - Decibel", "url": "https://www.decibel.vc/articles/agentgpt-build-configure-and-deploy-autonomous-ai-agents-in-your-browser", "date": "Jun 29, 2023" }, { "title": "The Rise of Autonomous Agents: AutoGPT, AgentGPT, and BabyAGI | Blog - BairesDev", "url": "https://www.bairesdev.com/blog/the-rise-of-autonomous-agents-autogpt-agentgpt-and-babyagi/", "date": "May 12, 2023" } ], "launches": [ { "id": 88460, "title": "🌍 Reworkd - Your new scraping co-pilot", "tagline": "Effortlessly extract web data at scale.", "body": "**tl;dr:** Reworkd automates your entire web data pipeline, end-to-end. It understands websites, writes code, runs scrapers, and validates results — all from one simple system. Today, we're excited to launch our self-serve tool!\n\n![uploaded image](/media/?type=post&id=88460&key=user_uploads/1285282/a0cd569c-51bc-4eba-9b2c-ad3f5472ddea)\n\n# **😩 The Problem**\n\nCollecting, monitoring, and maintaining a web data pipeline can be complex and time-consuming, especially at scale. Traditional methods often struggle with issues such as pagination, dynamic content, bot detection, and site changes—all of which can compromise data quality and availability.\n\nTo address web data needs, businesses are often faced with either building out an internal engineering team or outsourcing to a low-cost country. The former can be expensive, while the latter is often unsustainable and requires significant management oversight.\n\n# **🚀 The Solution:**\n\n![uploaded image](/media/?type=post&id=88460&key=user_uploads/1285282/1704dcda-c244-4f12-8812-c249b5a86829)\n\nRecognizing the inefficiencies of traditional data collection methods, we have built a platform to provide co-pilot experience for scraping. Simply provide a list of websites along with your unified schema, and our platform automatically generates custom Playwright code for each site. You’re not locked into a black-box solution—you have full control to guide, tweak, or completely rewrite the code in our built-in IDE as needed.\n\n![uploaded image](/media/?type=post&id=88460&key=user_uploads/1285282/97652937-38a3-42ff-8c2c-9d7db6a852b2)\n\nIn addition, our platform offers:\n\n* **Real-Time Dashboard:** Monitor your scraping projects in real-time. Track outputs, scraper failures, unique results, visited pages, website review status, file downloads, and more.\n* **Scheduling and Deduplication:** Run scrapers at your desired frequency, choose between full or incremental scraping, and deduplicate data based on a primary key.\n* **Bypass Anti-Bots:** We manage all proxy and anti-bot measures—including captcha solving and diverse proxy setups—so you never have to worry about managing residential, data center, or other proxy types.\n* **Complex Data Types**: We take care of downloading and hosting files, ensuring data availability even as source websites evolve.\n* **Seamless API Integration:** Easily ingest your scraped data through our API.\n\n# **🙏 Our Ask**\n\n* [**Support our Product Hunt Launch**](https://www.producthunt.com/)!\n* **Share Reworkd** with anyone you know who is facing challenges in scaling their web data pipeline.", "url": "https://www.ycombinator.com/launches/N0m-reworkd-your-new-scraping-co-pilot", "votes": 15, "created_at": "2025-03-11T07:05:36.825Z" }, { "id": 82000, "title": "🌍 Reworkd - Your new end-to-end web scraping platform", "tagline": "Effortlessly extract web data at scale. No code. No maintenance. No worries.", "body": "### **tl;dr:** Reworkd automates your entire web data pipeline, end-to-end. It understands websites, writes code, runs scrapers, and validates results — all from one simple system.\n\n![uploaded image](/media/?type=post&id=82000&key=user_uploads/1383230/0ca6ad3d-55af-4bb3-867b-283a56f8b52d)\n\n# **😩 The Problem**\n\nCollecting, monitoring, and maintaining a web data pipeline can be complex and time-consuming, especially at scale. Traditional methods often struggle with issues such as pagination, dynamic content, bot detection, and site changes, all of which can compromise data quality and availability.\n\nTo address web data needs, businesses are often faced with either building out an internal engineering team or outsourcing to a low-cost country. The former can be expensive, while the latter is often unsustainable and requires significant management oversight.\n\n# **🚀 The Solution:**\n\n![uploaded image](/media/?type=post&id=82000&key=user_uploads/1383230/900fe64d-6e59-446a-83e5-9cd706e927d1)\n\nRecognizing the inefficiencies of traditional data collection methods, Reworkd was developed to simplify your web data pipeline. Simply provide us with a list of websites and the schema you want the data mapped to, and we will handle the rest.\n\n![uploaded image](/media/?type=post&id=82000&key=user_uploads/1383230/c7e7d26e-73d2-4a5a-84d6-ca9bd06971fc)\n\nAt its core, Reworkd uses LLM code generation to enable companies to rapidly scale their extraction efforts across thousands of websites. Additionally, we offer:\n\n* **Self-Healing Scrapers**: These scrapers automatically adjust to website updates to maintain data integrity.\n* **Scheduling and Deduplication**: This feature ensures you have a complete and current view of all websites, providing a historical perspective on data changes.\n* **Automatic Proxies**: With Reworkd, there’s no need to choose between residential, data center, or other proxy types—we manage this for you.\n* **Complex Data Types**: We take care of downloading and hosting files, ensuring data availability even as source websites evolve.\n\n# **🙏 Our Ask**\n\n* **Book a Chat!** Have a few minutes? Schedule [a time with us](https://reworkd.typeform.com/to/qscfsOf1) and let’s discuss how we can help scale your data needs efficiently.\n* **Support our launch** [**tweet**](https://x.com/asimdotshrestha/status/1810720478111371581) and follow us on [**LinkedIn**](https://www.linkedin.com/company/reworkd) and [**Twitter**](https://x.com/reworkdai)\n* **Share Reworkd** with anyone you know who is facing challenges in scaling their web data pipeline.", "url": "https://www.ycombinator.com/launches/LKa-reworkd-your-new-end-to-end-web-scraping-platform", "votes": 45, "created_at": "2024-07-09T16:03:41.006Z" }, { "id": 73151, "title": "🤖 Reworkd AI - The open-source Zapier of AI agents", "tagline": "We help automate core business workflows with the help of AI Agents", "body": "**tl;dr:** _Reworkd AI connects businesses to AI Agent automation. With an easy-to-use, no-code platform, Reworkd AI allows companies to eliminate tedious, repetitive tasks and accelerate their operations with AI Agents, all while integrating seamlessly with their existing tech stack._\n\n![uploaded image](/media/?type=post&id=73151&key=user_uploads/1285282/8c2f25ca-0406-47ae-af27-7f23a35cc45d)\n\nHello folks 👋 We’re the team behind Reworkd AI.\n\nInitially our team developed AgentGPT, a web based platform for AI Agents which quickly attracted **150K monthly active users** and **25K ⭐️ on GitHub** in the last three months.\n\nAs we built out this platform, we noticed a growing trend: businesses were increasingly seeking automation through AI Agents.\n\n### **❌ The Problem**\n\nToday, the core of many business are comprised of **tasks that require time consuming and manual human intervention**. With the rise of AI Agents, many companies are turning to them to automate these processes in a way that existing workflow tools cannot. In building AgentGPT however, we realized that AI Agents could not handle business-critical processes due to the following problems:\n\n* **Hallucination:** AI Agents make up information not grounded in any facts.\n* **Unproductive loops/repetition:** AI Agents struggle to understand the current context of a task, leading to unproductive loops.\n* **Probability of failure:** Each prompt completion has a certain probability of failure which only compounds with long-running agents.\n\n### ⭐️ **Our Solution**\n\n![uploaded image](/media/?type=post&id=73151&key=user_uploads/1285282/56351169-49c6-4eb4-bad1-efa723afe74e)\n\nOur platform solves these issues by **coupling AI Agents with a structured workflow system**. This enables businesses to formalize and codify their core processes in a verifiably correct way while still enabling AI Agents to reason about the nuances of a problem.\n\nAs an example, one B2B customer in our pilot program vends data to over 30,000 different customers. They’ve leveraged Reworkd to create a workflow that runs an AI Agent through each customer’s website, validating that they are compliant against a set of unstructured rules. Based on these results, the platform will automatically follow up with their customer. This process previously took **an entire department and weeks of manual intervention.** Leveraging our platform, they’ve automated this process to only take a few hours.\n\n### 👥 **The Team**\n\n[Asim Shrestha](https://www.linkedin.com/in/a-shrestha/) **(CEO)**: Former AWS software engineer specializing in internal backend services within RDS. Contributed to ML pipelines and open source ML projects at BC Cancer Research.\n\n[Adam Watkins](https://www.linkedin.com/in/awtkns/) **(CTO)**: Former software engineer at Article specializing in fulfillment logistics optimization. Worked in AI/ML at BC Cancer Research, developing ML deployment infrastructure for clinical nuclear medicine applications.\n\n[Srijan Subedi](https://www.linkedin.com/in/srijansubedi/) **(COO)**: Former program associate at Stemcell Technologies with the New Product Introduction team. Conducted research at The Centre for Heart Lung Innovation (HLI) focused on biologic therapy for individuals with severe asthma.\n\n## 🙌 **Our Ask**\n\n* If you or anyone you know is keen on leveraging AI agents to automate business workflows, [please sign up for our waitlist](https://6h6bquxo5g1.typeform.com/to/qscfsOf1) 😁\n* Have a tedious task you'd want to automate but don’t know if its possible? Email us at [founders@reworkd.ai](mailto:founders@reworkd.ai). We relish challenges and will explore solutions for you!", "url": "https://www.ycombinator.com/launches/J1r-reworkd-ai-the-open-source-zapier-of-ai-agents", "votes": 69, "created_at": "2023-07-18T06:58:49.499Z" } ] }, { "id": 28745, "name": "Nectar", "slug": "nectar", "former_names": [ "Pairly Climate", "Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7411f4ecb5153ac85174724f663e8e21142f624a.png", "website": "https://nectarclimate.com", "all_locations": "San Francisco, CA, USA", "long_description": "Nectar is the modern AI energy management platform. We automate utility data analysis to optimize energy costs, manage buildings, and report energy efficiency metrics for energy and sustainability teams. Our utility data API uses in-house AI agents to deliver the most accurate granular usage and cost data on the market.", "one_liner": "Manage energy cost & usage with AI for facility & sustainability teams", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1688762834, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/nectar", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/nectar.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nectarclimate", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7411f4ecb5153ac85174724f663e8e21142f624a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 518312, "full_name": "Allen Wang", "title": "Founder", "founder_bio": "Allen studied CS & EE and Math at MIT. Before founding Nectar with Katherine, he worked at Scale AI and Google. Talk to Allen about climate, math, or card magic.", "is_active": true, "linkedin_url": "https://linkedin.com/in/allenwang314", "x_url": "https://twitter.com/AllenWang314", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5e0c49b46c9b76c69f64f4aa710de5fc3ab319d2.jpg" }, { "user_id": 672812, "full_name": "Katherine He", "title": "Founder", "founder_bio": "Katherine studied computer science and business management at MIT. Previously she's worked at Two Sigma building financial pipelines that move millions of dollars daily. She holds a US record in poetry memorization.", "is_active": true, "linkedin_url": "https://linkedin.com/in/katherine-he", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cb198326c4987ca23dabdb5d1ea4048300d71f70.jpg" } ], "jobs": [ { "id": 97708, "title": "Sales Development Representative (SDR) (Contract to Hire)", "url": "https://www.ycombinator.com/companies/nectar/jobs/V0LHrvP-sales-development-representative-sdr-contract-to-hire", "location": "San Francisco, CA, US / Remote (US)", "type": "Contract", "role": "Sales", "role_type": null, "salary_range": "$65K - $100K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 28759, "name": "Branch AI", "slug": "branch-ai", "former_names": [ "Branch AI", "Apiflow" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6abe17a364c1113dea922a968293da0024ff5af.png", "website": "https://www.branch-ai.com", "all_locations": "Singapore, Singapore", "long_description": "Boost conversions & organic SEO traffic by adding AI to your search box, unlocking personalized answers, suggestions, comparisons & more\r\n\r\nSolutions\r\n- Add AI Overviews to Search (Boost Conversions) \r\n- Save Answers as Landing Pages (Boost Organic SEO)", "one_liner": "AI Overview Search, as a Service", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Retail", "launched_at": 1708944337, "tags": [ "SaaS", "B2B", "Retail", "Search", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B", "Retail" ], "regions": [ "Singapore", "Southeast Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/branch-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/branch-ai.json", "year_founded": 2023, "city": "Singapore", "country": "SG", "linkedin_url": "https://www.linkedin.com/in/govindchandrasekhar/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6abe17a364c1113dea922a968293da0024ff5af.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": 31801, "full_name": "Govind Chandrasekhar", "title": "Founder", "founder_bio": "Co-founder @ Branch AI (YC S23) | Previously co-founder @ Semantics3 (YC W13, acquired by Hearst Magazines) | ex Machine Learning lead @ Twitter (recommendations)", "is_active": false, "linkedin_url": "https://linkedin.com/in/govindchandrasekhar", "x_url": "https://www.twitter.com/govind201", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bb54033e2d29b77652f6c478eedc476808bf1918.jpg" }, { "user_id": 3501, "full_name": "Ishan Agrawal", "title": "Founder", "founder_bio": "Co-founder @ Branch AI (YC S23). \nPreviously Group CTO @ Funding Societies (350M raised, scaled the company from Seed to Series D)", "is_active": false, "linkedin_url": "https://linkedin.com/in/ishanagrawal", "x_url": "https://twitter.com/ishanagr", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c2b27b14924455009bb079d1a560d26ce1a81ac5.jpg" } ], "jobs": [], "news": [ { "title": "Former Funding Societies CTO Ishan Agrawal Launches YC-Backed Branch AI - Fintech Singapore", "url": "https://fintechnews.sg/89305/ai/former-funding-societies-cto-ishan-agrawal-launches-yc-backed-branch-ai/", "date": "Feb 26, 2024" }, { "title": "Ex-Funding Societies CTO launches YC-backed ecommerce AI startup", "url": "https://www.techinasia.com/exfunding-societies-cto-launches-ycbacked-ecommerce-ai-startup", "date": "Feb 26, 2024" } ], "launches": [ { "id": 78740, "title": "Branch AI - State-of-the-art Ecommerce search, instantly", "tagline": "Powered by AI that learns your catalog and tunes itself to drive conversions", "body": "### **The Problem**\n\n* [**Search queries are becoming more conversational**](https://blog.branch-ai.com/second-order-effects-of-ai-search-from-keywords-to-intent-63b3b9fa20e8) (ChatGPT effect). However, most Ecommerce retailers & brands still use keyword search tools resulting in lost revenue for tail queries.\n* Search providers give you tools to build search engines, **but leave relevance engineering up to you** (i.e. tuning of the search).\n* Tuning search to maximize conversions is [**complicated & expensive**](https://blog.branch-ai.com/what-it-takes-to-build-effective-search-8a2901a9a943) (involves stitching together embeddings, rankers, NLP models, heuristics & annotated feedback).\n* DIY embeddings and models are easy to experiment with. But building **production-grade deployments requires catalog-specific tuning**, which can unlock 20-30% better accuracy & conversions.\n\n### **The Solution**\n\n![uploaded image](/media/?type=post&id=78740&key=user_uploads/31801/a4c105e8-a6a6-41f0-977c-e09de9b09233)\n\n**Step 1 - Upload/Connect Catalog:** Upload a list of products or connect to an existing search database or platform (e.g. Elastic or Shopify).\n\n**Step 2 - LLM-powered Tuning**: This happens under the hood automatically. We use LLMs to train catalog-specific embeddings, rankers & query rewriters, bootstrapped from our proprietary Ecommerce-specific models.\n\n**Step 3 - AI APIs**: With zero effort, businesses get:\n\n1. _Search API_: Query → Ranked Products (for end-to-end query rewriting, hybrid retrieval & reranking)\n2. _Query Understanding API_: User Query → Catalog-Aware Query (for DIY query expansion/relaxation)\n3. _Embeddings API_: Query or Product → Catalog-specific Embedding (for DIY retrieval)\n4. _Reranking API_: Candidate Products → Re-ordered Products (for DIY precision improvements)\n\n**Step 4 - Preferences**: Users can control search behavior using:\n\n* _Merchandising Strategies:_ Execute smart strategies using simple instruction templates (e.g. “boost Apple Vision Pros to visitors looking for gifts”)\n* _Feedback:_ Demonstrate examples of preferred search results (models learn from these “few-shot”)\n* _Maintenance Jobs:_ LLMs periodically evaluate search results (e.g. for queries with zero results) and produce training data to fix gaps\n\n### **Our Ask**\n\n* If you want a better search with lower effort for your Ecommerce store, contact us via [email](mailto:govind@branch-ai.com) or [LinkedIn](https://www.linkedin.com/in/govindchandrasekhar/).\n* If you’d like a free evaluation of your site search, submit a request [on our website](https://www.branch-ai.com).\n\n### **About Us**\n\n* [Govind](https://www.linkedin.com/in/govindchandrasekhar/) was previously co-founder of [Semantics3](https://www.ycombinator.com/companies/semantics3) (YC W13), an Ecommerce catalog AI company, from 2011 to 2020.\n* Govind & [Praveen](https://www.linkedin.com/in/praveens07/) (founding engineer) built embeddings, rankers, and transformer-based sequence models at Twitter that directly drove 1MM+ DAUs.\n* [Ishan](https://www.linkedin.com/in/ishanagrawal/) was CTO at Funding Societies, the largest digital financing Fintech in Southeast Asia, where he built and scaled the technology and business from Seed to Series D.\n\n### **Our Vision**\n\nTo serve as an Ecommerce AI platform for brands and retailers. We already see that our models do better than mainstream alternatives at out-of-domain tasks like recommendations, assortment curation, insight extraction (from query text), marketing content generation (from query text), in-session personalization, and event-based ranking.", "url": "https://www.ycombinator.com/launches/KU0-branch-ai-state-of-the-art-ecommerce-search-instantly", "votes": 27, "created_at": "2024-02-26T15:56:38.525Z" } ] }, { "id": 28776, "name": "Ora AI", "slug": "ora-ai", "former_names": [ "Synaptiq" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e986c79fdf04d121008f6f06d79ac622e40609d2.png", "website": "https://www.oraai.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Ora is an AI-native healthcare education platform that students and faculty love. We're starting with medical school, training students from matriculation to MD. Soon, we'll serve every corner of the $830B higher education market.", "one_liner": "The AI Platform for Medical Education", "team_size": 3, "industry": "Education", "subindustry": "Education", "launched_at": 1691697045, "tags": [ "Education", "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Education" ], "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/ora-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/ora-ai.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/82412521/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/synaptiq-learning-inc", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e986c79fdf04d121008f6f06d79ac622e40609d2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1037131, "full_name": "Ryan Phelps", "title": "Founder", "founder_bio": "Ryan Phelps, MD is co-founder and CEO of Ora AI. Previously, he was a neurosurgery resident at Stanford, and a medical student at UCSF.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ryan-phelps-md-b518967b", "x_url": "https://twitter.com/ryan_rl_phelps", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f9d15ee5726fc8366e24c8c5094ae64f051aee8d.jpg" }, { "user_id": 453271, "full_name": "Kevin Bastoul", "title": "Founder", "founder_bio": "Co-Founder & CTO @ Synaptiq. Previously software engineer at Block and Veeva Systems. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/kevin-bastoul", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/751d1f3a1c67653018be8150da3929a5709b3e5a.jpg" }, { "user_id": 1311708, "full_name": "Jacob Caccamo", "title": "Founder", "founder_bio": "Co-Founder, COO, & Head of Product @ Ora AI\n\nUX designer and front-end engineer specialized in building EdTech platforms in medicine. Previously at the National Institutes of Health (NIH).", "is_active": true, "linkedin_url": "https://linkedin.com/in/jacob-caccamo", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8981125d7392acd5dc1e7a585efd4c023352bc0a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 74012, "title": "Synaptiq 🧠 AI-Powered Training for Doctors", "tagline": "Synaptiq is an AI-powered medical training platform that boosts learning speed and memory retention 7X", "body": "Hi, we’re Ryan, Jake, and Kevin, the team behind Synaptiq.\n\n![uploaded image](/media/?type=post&id=74012&key=user_uploads/1311708/90230f60-3c3f-4671-9a1a-986c90550561)\n\n### **TLDR**\n\nSynaptiq began as a tool Ryan created during his studies at UCSF Medical School which helped him score in the 100th percentile on the Step 1 licensing exam and get accepted into Stanford’s neurosurgery residency.\n\nRyan then teamed up with Jake and Kevin, his two best childhood friends and accomplished engineers, to expand Synaptiq into an AI-powered medical training platform that boosts learning speed and memory retention 7X. \n\nSynaptiq is now used in over 220 medical schools and hospitals, in 85 countries, and is growing at 110% month/month. Synaptiq plans to become the AI infrastructure for the $110B medical education industry, leading to better physicians, a more efficient healthcare system, and improved patient care.\n\n### **The Problem**\n\nMedical training hasn’t significantly advanced in 250 years – trainees are still taught with archaic, static tools like textbooks. As a result, doctors forget over 50% of all new knowledge within 8 months, which leads to immeasurable patient harm and costs billions of dollars in burnout-related physician turnover.\n\n### **The Solution**\n\nSynaptiq trains doctors with AI, helping them learn faster and retain 7x more information than any alternative.\n\nIt began as a tool Ryan created for his own medical studies at UCSF, propelling him into the 100th percentile on the Step 1 licensing exam and leading him to be accepted into Stanford’s neurosurgery program, the most selective residency in the country.\n\nSeeing the impact this would have if applied to all of healthcare, he dropped out of residency to go full-time on Synaptiq. He teamed up with his best friends of over 20 years, Jake and Kevin, to design and build the platform.\n\nSince launching, Synaptiq has rapidly spread to over 220 medical schools and hospitals across 85 countries and is growing at 110% month/month – underscoring the significant unmet need.\n\n### **How It Works**\n\nSynaptiq uses AI and neuroscience-based algorithms to personalize the learning experience of every user. By predicting when each user will forget each topic, the material is always reinforced at the optimal time, enabling doctors to retain their knowledge indefinitely. AI also enables an unprecedented level of premium content production, eliminating the moat that traditional publishers have long held.\n\nSynaptiq plans to become the AI infrastructure for the $110B medical education industry, leading to better physicians, a more efficient healthcare system, and improved patient care.\n\n![uploaded image](/media/?type=post&id=74012&key=user_uploads/1311708/f23dd696-2575-4e0d-bab7-ded4c757081c)\n\n### **How You Can Help**\n\nWe are on a mission to transform medical training for the better. Here’s what you can do to help 🙏\n\n* Share this post with anyone in healthcare, including doctors, med school/hospital administrators, or anyone involved in MedEd\n* Follow us on X (Twitter) [@SynaptiqHQ](https://twitter.com/SynaptiqHQ) and [LinkedIn](https://www.linkedin.com/company/synaptiq-learning/)", "url": "https://www.ycombinator.com/launches/JFk-synaptiq-ai-powered-training-for-doctors", "votes": 35, "created_at": "2023-08-10T21:12:03.848Z" } ] }, { "id": 28777, "name": "Twenty", "slug": "twenty", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2befcd73780fb4c29e4bd8bbf8222b0adb1020b3.png", "website": "https://twenty.com", "all_locations": "Paris, Île-de-France, France", "long_description": "Building a modern alternative to Salesforce: https://github.com/twentyhq/twenty", "one_liner": "Open Source CRM", "team_size": 11, "industry": "B2B", "subindustry": "B2B", "launched_at": 1690850787, "tags": [ "SaaS", "B2B", "Open Source", "Sales", "CRM" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "France", "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/twenty", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/twenty.json", "year_founded": 2023, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/twenty/", "x_url": "https://twitter.com/twentycrm", "fb_url": null, "cb_url": null, "github_url": "https://github.com/twentyhq/twenty", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2befcd73780fb4c29e4bd8bbf8222b0adb1020b3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 767429, "full_name": "Félix Malfait", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://linkedin.com/in/fmalfait", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b878524533890bc68132faada3f1b55e5a7d8b8.jpg" }, { "user_id": 1368642, "full_name": "Charles Bochet", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://linkedin.com/in/charlesbochet", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3c6a7f0e702a26a9189d2eed9e52c5479f59b6cf.jpg" }, { "user_id": 434959, "full_name": "Thomas des Francs", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tdesfrancs/", "x_url": "https://x.com/thomasdesfrancs/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3c3fb5828608322f1242741bfd497cc541c02439.jpg" } ], "jobs": [ { "id": 73895, "title": "Junior Product Designer - Intership Paris", "url": "https://www.ycombinator.com/companies/twenty/jobs/2OAbiTK-junior-product-designer-intership-paris", "location": "Paris, IDF, FR / Paris, Île-de-France, FR", "type": "Internship", "role": "Design", "role_type": "Product design", "salary_range": "€1.5K - €2K EUR / monthly", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [ "Figma" ] }, { "id": 84715, "title": "Product Designer", "url": "https://www.ycombinator.com/companies/twenty/jobs/jQaeiD0-product-designer", "location": "Paris, IDF, FR / Paris, Île-de-France, FR / Remote", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "€5K - €7.5K EUR / monthly", "equity_range": "0.10% - 0.20%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Molecular design", "Design systems", "Figma" ] } ], "news": [ { "title": "Twenty is building an open source alternative to Salesforce | TechCrunch", "url": "https://techcrunch.com/2024/11/18/twenty-is-building-an-open-source-alternative-to-salesforce/", "date": "Nov 18, 2024" } ], "launches": [] }, { "id": 28778, "name": "Xeol", "slug": "xeol", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3d8557d5066f2f1e94f1be8ddc427697b79cc8d1.png", "website": "https://www.xeol.io/", "all_locations": "New York City, NY, USA", "long_description": "Pronounced Zee-O-L. \r\n\r\nEnd-of-life (EOL) and outdated software are a black box of vulnerabilities with very limited remediation paths. These 2 factors combine to make managing them a necessary proactive practice. Xeol enables enterprises and Fortune 500s to create a proactive EOL management program that directly contributes to better vulnerability management and lower cyber insurance. ", "one_liner": "Close your outdated dependency attack vector", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1689618282, "tags": [ "Security", "Cybersecurity", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Security" ], "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/xeol", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/xeol.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/xeol", "x_url": "https://twitter.com/xeol_io", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/xeol", "github_url": "https://github.com/xeol-io", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3d8557d5066f2f1e94f1be8ddc427697b79cc8d1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8c4047771eda54f492d2bcd886af0cc692bc72b3.png" ], "primary_partner": null, "founders": [ { "user_id": 1279127, "full_name": "ShiHan Wan", "title": "Founder", "founder_bio": "CEO @ Xeol. Backend Engineer.\n\nPreviously helped build 2 startups from early to 🦄, now doing that for Xeol.\n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/shihanwan", "x_url": "https://twitter.com/shihanwan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6ccd5955aeabc741fbfaefb062eb80e08362368c.jpg" } ], "jobs": [], "news": [ { "title": "🎉 Announcing our $3.2M Seed Round!", "url": "https://www.xeol.io/post/announcing-our-3-2m-seed-round", "date": "Dec 12, 2023" } ], "launches": [ { "id": 80578, "title": "bumpgen - keep your code up-to-date with AI", "tagline": "Open source tool to generate code fixes for breaking changes", "body": "![uploaded image](/media/?type=post&id=80578&key=user_uploads/89898/e210f386-2345-4c2e-ba0a-6133d756141a)\n\n[**bumpgen**](https://github.com/xeol-io/bumpgen) generates fixes for breaking changes in version upgrades with AI\n\n* 🧑🏼‍💻 `bumpgen ` to get fixes to your version bump breaking changes\n* 🔑 Bring your own **OpenAI API key**\n* 🌐 Supports **Typescript** codebases\n\n### Why build bumpgen?\n\nKeeping your dependencies updated is a good security and engineering practice (just not too up-to-date, thanks xz 🙏🏼). But they can be a pain to actual perform because:\n\n* **Major version bumps** have breaking changes and no one wants to fix them.\n* **25% minor version bumps** have breaking changes as well (semver isn’t perfect)\n* There can be a lot of version bumps from small packages to large frameworks\n\n### How Does bumpgen work?\n\n![uploaded image](/media/?type=post&id=80578&key=user_uploads/1279127/f06347b9-da03-4f95-aa1b-8f850576b262)\n\n**bumpgen** is pretty straight forward:\n\n* **BUMP** your dependency version then **GEN**erate the fixes for the breaking changes\n* Quick to get started with `npm install -g bumpgen`\n* Works on top of your Dependabot or Renovate to take care of those gnarly breaking changes\n\nIf you are curious how bumpgen identifies, fixes, then propagates the breaking change fix, we added bumpgen’s architecture and design decisions [**here**](https://github.com/xeol-io/bumpgen) 👈\n\n### How to start?\n\n* 🧑🏼‍💻 [**Try it out**](https://github.com/xeol-io/bumpgen), it’s 100% open source\n* ⭐ [**Support**](https://github.com/xeol-io/bumpgen) the project with a star\n* 📩 [**Get updated**](https://www.xeol.io/beta) on the GitHub app release", "url": "https://www.ycombinator.com/launches/Kxe-bumpgen-keep-your-code-up-to-date-with-ai", "votes": 43, "created_at": "2024-05-02T15:07:15.215Z" }, { "id": 73333, "title": "🌌 Xeol - Modern platform for software supply chain security", "tagline": "Cut through the noise, identify and remediate risks, then enforce security policies", "body": "![uploaded image](/media/?type=post&id=73333&key=user_uploads/1279127/210f8a5b-d0c2-4f78-a504-dea9eb6669ca)\n\n### TLDR\n\n> Fortune 500 companies use Xeol to connect all their software dependencies into a contextual graph to ask questions like “am I affected by vulnerability X?” and enforce policies like “ensure all my docker images were signed by me?”\n\n![uploaded image](/media/?type=post&id=73333&key=user_uploads/1279127/040b5865-0ba9-42f6-a893-bbf3f0eb3222)\n\nWe first met 6 years ago as early engineers at **Ada** leading backend, cloud infrastructure, and security. Right before founding Xeol:\n\n* **Benji** was a Sr DevOps Engineer at **Datadog** leading its service catalog project with a near decade career in DevOps\n* **ShiHan** was the Director of Engineering helping build 2 startups from early stage to 🦄\n\nWe have been in the startup world for many years and are now on our own journey to help AppSec engineers quickly identify, remediate, and enforce security risks.\n\n### Problem. A New Attack Vector\n\nAsk anyone on the street to plug in a random USB drive and they will scoff. They know it’s unsafe! But developers do this every day when they use open-source packages as part of their software supply chain. The typical npm package has **86 dependencies** and with supply chain attacks up **600%** over the past year alone, this attack vector is widening.\n\nWhat’s not working?\n\n* **Too much noise:** tools that show all possible CVEs without contextual runtime information make prioritization near impossible leading to alert fatigue\n* **Attacks are more common:** generative AI enables malicious actors to easily launch attacks\n* **Huge attack surface:** many actors involved including OSS maintainers and their code, CI/CD systems, container orchestrators, and in-house developers\n\n### Solution. Complete Ontological Visibility\n\n![uploaded image](/media/?type=post&id=73333&key=user_uploads/1279127/a7017029-25ff-45a2-b114-6386d949057d)\n\nXeol is an **agentless** solution that scans your software artifacts at **build** and **runtime** then creates a **contextual graph** of your software supply chain. This contextual graph allows AppSec engineers to:\n\n**answer** questions like\n\n* Where am I using package X?\n* Which software are end-of-life?\n* Which packages are missing SLSA attestations?\n* Which software artifacts are produced from repo X?\n\n**enforce** policies like\n\n* Ensure all Docker images were built by my org from our CI pipeline\n* Prevent software X, which is end-of-life, from being packaged in our Docker images\n* Ensure sure all packages meet a minimum [OSSF](https://openssf.org/) score\n* Prevent any dependencies using a GPL license\n\n### Our Ask\n\n**See** Xeol’s graph capabilities in action [here](https://dashboard.xeol.io/demo)\n\n**Try** our open-source CLI [tool](https://github.com/xeol-io/xeol) to scan for end-of-life software\n\n**Follow** us on [LinkedIn](https://www.linkedin.com/company/xeol), [GitHub](https://github.com/xeol-io), or [Twitter](https://twitter.com/xeol_io) to get the latest updates", "url": "https://www.ycombinator.com/launches/J4n-xeol-modern-platform-for-software-supply-chain-security", "votes": 45, "created_at": "2023-07-24T02:01:24.497Z" } ] }, { "id": 28779, "name": "withHuman", "slug": "withhuman", "former_names": [ "Metoro" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/39484d89d4533e876c43bf392647fed770ecf14d.png", "website": "https://withhuman.ai", "all_locations": "London, England, United Kingdom", "long_description": "withHuman is an open source approval layer for AI Agents.\r\n\r\nWhen you want agents to take consequential actions like refund a customer, that's when withHuman is useful.\r\n\r\nIt is a centralized point where you can encode rules like \"refunds < $10 can be done automatically, anything more than that, send it to the on-call from customer support\". You write your rules once and connect all of your agents, no changes needed, its transparent to the agent.", "one_liner": "The Approval Layer for AI Agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1689872648, "tags": [ "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/withhuman", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/withhuman.json", "year_founded": 2026, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/135307327", "x_url": "https://x.com/withHumanAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/withHumanAI", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/39484d89d4533e876c43bf392647fed770ecf14d.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": 1239892, "full_name": "Chris Battarbee", "title": "Founder", "founder_bio": "I'm one of the founders of Metoro - We're building an AI SRE for teams running in Kubernetes. You can go from nothing to full observability with auomatically detected bugs in < 5 minutes.\n\nBefore Metoro, I worked at Palantir as a Software Engineer where I built out Foundry's compute platform.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chrisbattarbee", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/985bf4795fe9866de28c1514eefc1540407fd2a7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73574, "title": "Metoro: Debug production systems faster with AI", "tagline": "Metoro surfaces relevant metrics and logs, performs root cause analysis and suggests remediations", "body": "**tl;dr:** Metoro is an AI agent which helps you debug production systems. Ask Metoro for help and it will surface relevant metrics and logs, perform root cause analysis and suggest remediations. It plugs into your existing observability stack (like DataDog, Grafana, Elastic, etc.) and debugs your system with you.\n\nHi everyone! We’re Chris and Tom, the team behind Metoro. We’re software engineers who have worked on complex distributed systems at Palantir and Jump Trading and are building the debugging tool we wish we had.\n\n## The Problem: Debugging production systems is hard\n\nProduction systems are complex. It’s difficult to identify the metrics and logs that are relevant to the bug you’re hunting. This problem gets worse if you didn't write the code in the first place, or are unfamiliar with the system.\n\n## The Solution: An interactive debugging agent that investigates with you\n\n[Metoro](https://metoro.io/) acts like an experienced engineer. It understands your system and debugs your services one by one, updating its hypothesis as it discovers new information.\n\nWhen it’s done, the investigation results are presented to you in an interactive dashboard for you to explore. This includes a root cause hypothesis, potential remediations and relevant logs and metrics for each service it looked at.\n\nMetoro reads data from your existing observability stack. No application or infra changes needed.\n\n### Ask: How you can help\n\n* We're signing up teams from startups/scale-ups. If you'd like to try it or know people who would, please shoot us a mail at [founders@metoro.io](mailto:founders@metoro.io) or book a demo call \n* Check out our [website](https://metoro.io). We’d love your feedback!\n* **Upvote and share this post!**", "url": "https://www.ycombinator.com/launches/J8g-metoro-debug-production-systems-faster-with-ai", "votes": 58, "created_at": "2023-07-30T09:08:46.501Z" } ] }, { "id": 28780, "name": "Clearest Health", "slug": "clearest-health", "former_names": [ "Mano AI", "Mano", "Mano AI", "Mano Health", "Mano Claims", "Mano Health" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d4c1cc0751098e00020fe57a63b4a98b4977331.png", "website": "https://clearesthealth.com/", "all_locations": "New York City, NY, USA", "long_description": "Clearest Health is an AI-enabled revenue recovery platform for independent healthcare practices with underpaid out-of-network claims. Through verified IDR benchmarks, claim analysis, and audit-ready dispute support, Clearest helps providers strengthen No Surprises Act appeals and recover revenue that might otherwise be written off.", "one_liner": "AI revenue recovery for underpaid healthcare claims.", "team_size": 11, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1686714264, "tags": [ "SaaS", "Health Tech", "B2B", "Healthcare IT", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "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/clearest-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/clearest-health.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d4c1cc0751098e00020fe57a63b4a98b4977331.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 276974, "full_name": "Nicolas Raga", "title": "Founder", "founder_bio": "I'm the CEO and co-founder of Clearest Health. Before starting Clearest, I worked on the distributed training infrastructure for Amazon's LLM models. I also spent some time building core features for AWS's real-time data streaming service called Kinesis Data Analytics. When I'm not working, I'm all about espresso, adrenaline, fitness, and Venezuelan rap 🇻🇪", "is_active": true, "linkedin_url": "https://linkedin.com/in/nraga", "x_url": "https://twitter.com/nicolas_raga", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/843b6fce8380b705bceb158e3bccb7f0a041bd42.jpg" } ], "jobs": [ { "id": 69964, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/clearest-health/jobs/9JzoVPS-senior-software-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.50% - 5.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Go", "Node.js", "PostgreSQL", "React", "TypeScript", "DynamoDB" ] }, { "id": 95160, "title": "IDR Filing Specialist", "url": "https://www.ycombinator.com/companies/clearest-health/jobs/vSiCt2K-idr-filing-specialist", "location": "New York, NY, US / Remote", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$45K - $105K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 106244, "title": "Account Executive (Healthcare Revenue Recovery)", "url": "https://www.ycombinator.com/companies/clearest-health/jobs/XBHHjyp-account-executive-healthcare-revenue-recovery", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$85K - $100K", "equity_range": "0.15% - 0.40%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106245, "title": "Head of Partnerships", "url": "https://www.ycombinator.com/companies/clearest-health/jobs/0vbEI0d-head-of-partnerships", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$110K - $135K", "equity_range": "0.50% - 0.80%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 28784, "name": "Elyos AI", "slug": "elyos-ai", "former_names": [ "Prasinus Energy", "Open Energy", "Elyos Energy", "Elyos" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/76f14de542d5e5e64cbd1bcda09aac3368c32350.png", "website": "https://www.elyos.ai/", "all_locations": "London, England, United Kingdom", "long_description": "Elyos AI is a fully autonomous AI Agent, built specifically for trades and field services businesses.", "one_liner": "AI Customer Service Agents for trades and field services", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1688401921, "tags": [ "SaaS", "B2B", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/elyos-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/elyos-ai.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/elyosai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/elyosenergy/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/76f14de542d5e5e64cbd1bcda09aac3368c32350.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/107c72052f70273a51cc6e7dfa647d905b7226a0.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/43b6d88cbfe3150230fb6c4d30f8cd0fd168f381.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/991e6514327a3b8cde31d56d7954ffff835ff51c.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 344099, "full_name": "Adrian Johnston", "title": "Founder", "founder_bio": "Second-time founder. My first business (Una Brands) got to $70m ARR and raised $100m in funding. Bachelors and Masters in Mathematics from Oxford and Masters in Public Administration (MPA) from Harvard specialising in AI policy. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adrian-johnston-87667a2b", "x_url": "https://x.com/AdrianJohnst", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f79a26d170af32c2ce152704045525e3e278defe.jpg" }, { "user_id": 1307901, "full_name": "Philippa Brown", "title": "Founder", "founder_bio": "Previously Head of Operations at OVO Energy, the largest renewable energy company ($2b revenue) in the UK. Prior to that worked for four years at Rolls-Royce in the Head Office as an operations consultant.\n\nMBA from INSEAD", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/philippa-brown-", "x_url": "https://twitter.com/pipclairebrown", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ac225160c28a52c707f09d3262629a5c76149932.jpg" }, { "user_id": 294390, "full_name": "Panos Stravopodis", "title": "Founder/CTO", "founder_bio": "Founder and CTO at Elyos. Software engineer by training with over 15 years of experience leading engineering teams across FinTech, MarTech, and Climate Tech. My prior roles include VP of Engineering at Bulb/Zoa, where I led a 150+ person engineering team delivering Smart Energy products across the UK. I've also held senior positions at Funding Circle, Bynder, and other high-growth companies.", "is_active": true, "linkedin_url": "https://linkedin.com/in/pstrav", "x_url": "https://twitter.com/pstrav", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3a0d7ed207ee3d5e19de17bcbb3f24fcd528bbda.jpg" } ], "jobs": [ { "id": 81350, "title": "Founding Software Engineer", "url": "https://www.ycombinator.com/companies/elyos-ai/jobs/hzgEESF-founding-software-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "£150K - £250K GBP", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Google Cloud", "PostgreSQL", "Python", "Natural Language Processing" ] } ], "news": [ { "title": "Elyos AI", "url": "https://elyos.ai/blog/elyos-ai-raises-a-13m-series-a-to-build-ai-agents-trades", "date": "Feb 21, 2026" } ], "launches": [ { "id": 93408, "title": "Elyos AI 💥 AI Customer Service Reps, built for trades and field services 🛠️", "tagline": "Elyos AI is the first fully autonomous AI Customer Service Reps for trades and field services.", "body": "**Hey, we are Elyos AI. 👋**\n\n[**https://elyos.ai/**](https://elyos.ai/)\n\nWe’re building the first, fully autonomous AI Customer Service Reps, built specifically for trades and field services.\n\nWe are already working with leading trades and field services businesses across the world, taking thousands of calls daily with our fully autonomous AI Agents.\n\n**The Problem**\n\nOur founders have been working in the field services space for nearly a decade.  These last few years building Elyos AI have solidified the realisation: **the field services industry is still operating on archaic tech.**\n\nIn field services like installations, gas, plumbing and electrical, the business should be judged on how well they deliver the actual service, not how quickly they can answer the phone.\n\nUnfortunately, these businesses are running inflated offices to make up for the poor systems they have to deal with: \n\n* Booking is harder than it has to be\n* Leads are left on ‘seen’ and quotes go cold\n* Jobs are scheduled in the wrong place, and \n* Engineers are dispatched for simple to solve over the phone problems\n\nElyos AI is solving this.\n\n**The Solution**\n\nElyos AI is a fully autonomous AI Agent, built specifically for trades and field services businesses. \n\nThe AI Agents we offer:\n\n1. Cover your phone 24/7\n2. Schedule jobs, optimised for engineer location, skillset and customer preference\n3. Manage payments\n4. Book leads in seconds and chase quotes to keep your pipeline warm\n5. Run your on-call process, dispatching engineers and informing the team over phone and WhatsApp\n6. Confirm appointments so you never send an engineer to an empty job\n\n![uploaded image](/media/?type=post&id=93408&key=user_uploads/1307901/67335b11-c4cf-4bef-990f-b551666d54ea)\n\n**About Us**\n\nOur Founding Team has worked in Field Services for the best part of a decade.  \n\nPip and Panos used to work at OVO and Bulb Energy, two of the largest field services businesses in the UK. Pip was running operations of >1000 engineers and Panos was building the operating system for those engineers.  Adrian, a second-time founder, has spent years optimising call centres with BCG.\n\n![uploaded image](/media/?type=post&id=93408&key=user_uploads/1307901/8834ef97-6502-45fe-9bb6-1c9be4409349)\n\n**The Ask**\n\nIf you know field service business owners in HVAC, plumbing, electrical, or similar trades, please intro us (use: [pip@elyos.ai](mailto:pip@elyos.ai))\n\n[**https://elyos.ai/**](https://elyos.ai/)", "url": "https://www.ycombinator.com/launches/OIa-elyos-ai-ai-customer-service-reps-built-for-trades-and-field-services", "votes": 9, "created_at": "2025-08-28T18:51:46.340Z" } ] }, { "id": 28786, "name": "Accend", "slug": "accend", "former_names": [ "Accend Technology, Inc" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/31a4d8ba6cbc31b7799b329fce2d820cfe3ca234.png", "website": "https://www.withaccend.com/", "all_locations": "", "long_description": "Accend helps commercial banks and fintechs underwrite business customers faster, win more deals and increase revenue. We provide an end-to-end platform to automate document intake, financial statement / tax spreading, cash flow modeling, credit memos and portfolio management, with audit-ready AI and human-in-the-loop accuracy. Companies like Corpay, Brex, Rippling, Rho, Column, Settle, and many others have reduced application processing time by 80% with Accend, significantly enhancing their credit underwriting efficiency\r\n\r\nBefore starting Accend, the founders led Product & Engineering on the Risk team at Brex as well as at Deutsche Bank and Credit Suisse so they have firsthand experienced issues with operational efficiency in credit/underwriting teams. Accend has raised a $3.2M seed round from Y Combinator, Adverb Ventures, General Catalyst and 645 Ventures.", "one_liner": "AI agents for commercial underwriting at banks and fintechs", "team_size": 18, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1691559472, "tags": [ "Fintech", "Generative AI", "Finance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Fintech" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/accend", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/accend.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/withaccend", "x_url": "https://x.com/withaccend", "fb_url": null, "cb_url": null, "github_url": "https://github.com/accendhq", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/31a4d8ba6cbc31b7799b329fce2d820cfe3ca234.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": 225420, "full_name": "Pranjal Daga", "title": "Founder", "founder_bio": "Currently, Cofounder of Accend. Previously, I led Product for AI initiatives, particularly in Risk at Brex. Before that, I dropped out of my PhD in AI/ML at Purdue University to help set up Cisco Innovation Labs where I grew the team from 1 to 35 in 4 years. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/pranjaldaga", "x_url": "https://twitter.com/pranjaldaga1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5fbaed00548bb20d13e534a6e7c326bc083bbc4d.jpg" }, { "user_id": 290, "full_name": "Yutong Pei", "title": "Founder", "founder_bio": "Yutong Pei was most recently the Engineering Manager on the Fraud Risk team at Brex where he built the Disputes service, worked on fraud controls by managing engineers and data scientists. Previously, he has led Fraud Engineering and Security for IoTeX, Uber and Amazon.", "is_active": true, "linkedin_url": "https://linkedin.com/in/yutong-pei-81006842", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f223f8a49349d20972ce7cb0c3c3d7b58a55eda0.jpg" }, { "user_id": 1375156, "full_name": "Joseph Zhou", "title": "Founder", "founder_bio": "I'm one of the Co-Founders of Accend. Previously, I served as the CFO of a mobile gaming startup with a 50M ARR. I established the company’s operation in Europe and scaled the team from 0 to 80 members.", "is_active": true, "linkedin_url": "", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ae93e421d85c56c052a060a85eb805cb79834c5a.jpg" } ], "jobs": [ { "id": 69182, "title": "Full Stack Engineer", "url": "https://www.ycombinator.com/companies/accend/jobs/XxGbYZN-full-stack-engineer", "location": "San Francisco, CA, US / Remote (San Francisco, CA, US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $180K", "equity_range": "", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "Java", "Python", "React", "TypeScript", "TensorFlow", "Torch/PyTorch" ] }, { "id": 90944, "title": "Founding GTM (Account Executive)", "url": "https://www.ycombinator.com/companies/accend/jobs/d6ggx1f-founding-gtm-account-executive", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$65K - $120K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 99081, "title": "Accend For Banking", "tagline": "AI Infrastructure for End-to-End Credit Underwriting in Commercial Banks", "body": "```\nIntroduction\n```\n\nAccend for Banking is AI infrastructure that helps banks turn financial documents into structured financial models and credit insights — from hours to minutes.\n\nBuilt for commercial banks and CRE lenders, it sits inside existing credit workflows and removes the most manual parts of underwriting, so banks can move faster and win more deals.\n\n\n\n---\n\n```\nThe Problem\n```\n\nCredit underwriting in banks is slow because it still relies on legacy systems and outdated tools that haven’t evolved in decades.\n\nAcross most banks today:\n\n* Financial documents are collected across emails, portals, and shared drives\n* Borrowers upload tax returns, financials, and supporting documents across fragmented systems\n* Data is manually extracted and spread into Excel\n* Financial models are rebuilt repeatedly for each case\n* Credit memos are written from scratch every time\n* Monitoring and covenant tracking happen separately\n\nThese workflows are:\n\n* Fragmented across systems\n* Manual and time-intensive\n* Difficult to scale without adding headcount\n* Prone to inconsistencies and errors\n\nEven as lending demand has increased, the infrastructure supporting underwriting has remained largely unchanged for decades.\n\n---\n\n```\nWhat This Means for Banks\n```\n\nThe impact of these workflows goes beyond operations — it directly affects people, speed, and business outcomes.\n\n* Analysts spend hours on data preparation instead of credit decisions\n* Turnaround times slow down lending and delay decisions\n* Banks lose deals to faster competitors\n* Productivity is lost across the workflow due to repeated manual effort\n* Scaling requires adding headcount instead of improving systems\n\nAt a time when speed matters more than ever, these constraints make it harder for banks to compete.\n\n---\n\n```\nHow Accend Helps\n```\n\nAccend brings these fragmented steps into a single, structured workflow.\n\nWith Accend:\n\n* Borrowers upload tax and financial documents through a single secure link or connect their accounting systems\n* Automated requests and reminders keep document collection moving\n* Financial documents are parsed into structured, audit-ready data in minutes\n* Detailed schedules and supporting statements are captured with high accuracy\n* Property-level data (e.g., Schedule E, Form 8825) is broken down with full visibility\n* Cash flow models are generated instantly and mapped consistently\n* Credit insights and memos are built on top of structured data\n\nThis means:\n\n* Analysts spend time on credit decisions, not data preparation\n* Turnaround times shrink from hours to minutes\n* Teams can handle more volume without increasing headcount\n* Outputs remain consistent across deals\n\n---\n\n```\nHow Accend Works\n```\n\nAccend integrates into your existing credit workflow and processes each case end-to-end:\n\n**1. Document Intake**\n\nSend a secure link to borrowers to upload tax and financial documents, or connect directly to accounting systems. Automated requests and reminders ensure completeness.\n\n**2. Data Extraction & Structuring**\n\nAccend parses full tax packages in minutes — including 1040s, 1065s, 1120s, 1120-S, and supporting schedules — and converts them into structured, audit-ready data with source traceability.\n\n**3. Detailed Financial Spreading**\n\nFinancials are standardized across income statements, balance sheets, and cash flows. Supporting statements and add-backs are surfaced automatically.\n\n**4. Modeling & Analysis**\n\nData maps instantly into cash flow models. Teams can drill into sources, override values, run ratios, and leave notes — with every change tracked.\n\n**5. Configurable Financial Models**\n\nModels are configured to your bank’s policies — personal, business, global — ensuring consistency across teams while supporting complex analysis.\n\n**6. Monitoring & Covenant Tracking**\n\nOnce underwriting is complete, covenants are tracked automatically with scheduled tests, due dates, and alerts.\n\n---\n\n```\nGet Started\n```\n\nIf you work in credit, underwriting, risk, or lending operations, Accend helps you modernize your workflow without replacing your systems.\n\n[Schedule a call with Pranjal](https://calendly.com/pranjal-accend/30min), our co-founder, to learn more.\n\nOr explore Accend for Banking → ", "url": "https://www.ycombinator.com/launches/Pm5-accend-for-banking", "votes": 6, "created_at": "2026-03-25T15:22:34.058Z" }, { "id": 91587, "title": "Accend 2.0: The Future of Credit Underwriting", "tagline": "Accend helps banks and fintechs collect, spread and analyze financial data for faster and more accurate underwriting using human-in-the-loop AI agents", "body": "Today we’re launching **Accend 2.0** — our most ambitious release yet, designed to help financial institutions modernize how they **collect**, **spread**, and **analyze** financial data for underwriting.\n\nOur goal is simple: make underwriting radically faster, more accurate, and effortless for credit teams at banks and fintechs.\n\nhttps://youtu.be/YT6u7ahsSJE\n\n```\n🧨 The Problem\n```\n\nUnderwriting commercial credit still relies on slow, manual workflows — especially when it comes to handling borrower financials.\n\nCredit teams spend days:\n\n* Chasing borrowers for PDFs, Excel files, and accounting access\n* Manually spreading financials into internal formats\n* Creating credit memos from scratch\n* Spotting anomalies by gut feel or Excel checks\n\nThis workflow is not just inefficient — it introduces real risk. Missed red flags, errors in classification, or simply moving too slowly can result in bad loans or lost deals.\n\n```\n🧑‍💻 Who Faces This Problem?\n```\n\nThis problem is felt most acutely by:\n\n* **Fintech lenders** scaling underwriting ops\n* **Banks modernizing** legacy credit infrastructure\n* **Credit risk and underwriting teams** who are overloaded and under-automated\n\n```\n💡 Our Solution: Accend 2.0\n```\n\nWith Accend 2.0, lenders get a single platform to do the following:\n\n## **1. Frictionless Financial Data Collection with Accend Link**\n\nCollecting financials from borrowers is where friction often begins. That’s why we’re launching **Accend Link** — a borrower-facing portal that streamlines data collection from day one.\n\nBorrowers can:\n\n* **Link accounting software directly** — like QuickBooks, Xero, or NetSuite\n* **Or simply upload financials manually** — PDFs, Excel, whatever works for them\n\n🧘‍♂️ No more chasing documents.\\\n🔄 No more back-and-forth.\\\n📁 Just clean, accurate data — in the format you need.\n\n---\n\n## **2. Deep, Accurate, and Customizable Financial Spreading**\n\nOnce the data is in, Accend gets to work.\n\n* **AI-powered line-item classification**\n* **Ratio calculation and benchmarking** against industry standards\n* **Full analyst control** — reclassify line items on the fly and build custom ratios tailored to your credit policy\n\n📋 No spreadsheets. No version control nightmares. Just clarity.\n\n---\n\n## **3. Next-Gen Credit Memos, Built in Minutes**\n\nThis is where Accend 2.0 truly shines.\n\nWe automatically generate **credit memos** that combine:\n\n* 📄 **Business model summaries**\n* 📰 **Real-time financial news**\n* 📊 **Financial health analysis** powered by ratio performance\n\nIt's like having your smartest analyst prepare every memo — in minutes, not days.\n\nYour team gets faster turnaround times and deeper insights — without lifting a finger.\n\n---\n\n## **4. Proactively Flag Risk with Case Signals**\n\nWe’re also launching **Case Signals**, a feature that catches issues before they become problems.\n\nWith over a dozen automated checks — including:\n\n* Reconciliation mismatches\n* Volatility spikes\n* Abnormal ratio patterns\n\nAccend flags anomalies the moment they appear — so your team can act fast and stay ahead of credit risk.\n\n```\n📞 Ready to Modernize Your Underwriting Stack?\n```\n\nIf you’re a lender, bank, or fintech working on credit workflows — we’d love to show you how Accend 2.0 can supercharge your underwriting. See it in action live [HERE](https://www.accend.io).\n\nOr reach out to me directly at [**pranjal@withaccend.com**](mailto:pranjal@withaccend.com) to discuss anything AI x Credit Underwriting. Happy to help.", "url": "https://www.ycombinator.com/launches/NpD-accend-2-0-the-future-of-credit-underwriting", "votes": 6, "created_at": "2025-06-24T16:42:02.932Z" }, { "id": 88404, "title": "Accend - AI Credit Analyst For Business Underwriting", "tagline": "Human-in-the-loop AI Agents for Financial Statement Analysis", "body": "**TL;DR:** Accend is launching a new financial statement spreading and analysis, guaranteeing 100% accuracy powered by AI and human-in-the-loop review, saving time and costs.\n\n# **Why We're Building This?**\n\nCredit teams today face a massive problem: underwriting processes remain largely manual, painfully slow, and prone to costly errors. Across financial institutions, analysts spend hours manually spreading and analyzing financial statements, slowing down approvals and inflating operational costs. This isn’t just a minor inconvenience; it's a billion-dollar inefficiency affecting banks, fintechs, insurers and lenders globally.\n\nWe knew there had to be a better way—one where accuracy meets speed.\n\n# **Introducing Accend's Financial Statement Spreading & Analysis Solution**\n\n\n\nWe are expanding Accend into Credit Analysis, starting with financial statement spreading. \n\n✔️ **AI does the heavy lifting**—spreading financials with high accuracy and generating credit memos quickly.\\\n✔️ **Human-in-the-loop**—to complement our AI analysis so you get 100% accuracy, guaranteed.\\\n✔️ **Your underwriting team moves 10x faster**—reducing costs, errors, and approval times.\n\n# **Customer Spotlight**\n\nRussell Gu, Head of Credit Risk at Slope, shares his experience:\n\n> Accend offers the best solution for data-driven credit teams looking to maximize insights from financial documents. Their API solution and onshore time zone support accelerate financial review more than 4x.\n\n# **Who is Accend for?**\n\nAccend is purpose-built for credit leaders who demand excellence: underwriting teams at financial institutions committed to driving efficiency and precision across their credit operations.\n\n# **Why It Matters?**\n\nAccend delivers measurable ROI from day one:\n\n* **100% Accuracy:** Highly accurate AI coupled with expert human in the loop analysis – every spread is reviewed and validated by expert eyes.\n* **Rapid Approvals:** Reduce your application processing times by up to 80%, accelerating credit decisions.\n* **Cost Efficiency:** Dramatically lower your cost-to-serve by automating routine tasks.\n* **AI-Powered Credit Analysis:** Generate credit memos up to 10x faster, enabling teams to focus on high-value activities.\n\n![uploaded image](/media/?type=post&id=88404&key=user_uploads/225420/00a68be6-db43-4660-85b0-68c6d7b864da)\n\n# **Ready to Experience Accend?**\n\nTo celebrate our launch, we're offering your **first financial spread and analysis completely FREE**. Email us at [pranjal@withaccend.com](mailto:pranjal@withaccend.com) or [Schedule a call](https://calendly.com/pranjal-accend/30min-demo) to experience firsthand how Accend can revolutionize your credit processes.\\\n\\\nYou can also read this story on our company blog [here.](https://www.withaccend.com/blog/accend-launches-ai-credit-analyst-faster-underwriting-human-verified-accuracy)", "url": "https://www.ycombinator.com/launches/Mzs-accend-ai-credit-analyst-for-business-underwriting", "votes": 7, "created_at": "2025-03-10T15:50:04.217Z" }, { "id": 73980, "title": "Accend: Accelerate manual reviews for Fintech Ops & Compliance teams", "tagline": "Improve Ops Efficiency & Quality + Excel in Compliance with Accend", "body": "**TL;DR**\n\nAccend accelerates manual reviews and automatically generates regulatory reports for Ops & Compliance teams.\n\nB2B Fintechs and BaaS providers utilize Accend to save hours per manual process, such as KYB applications, Disputes, Transaction Monitoring, etc. \n\nIf you work in **Ops & Compliance at fintechs, we’d love to chat with you**. Please reach out at [**founders@withaccend.com**](mailto:founders@withaccend.com)\n\n![uploaded image](/media/?type=post&id=73980&key=user_uploads/225420/7582fece-a662-4123-b052-645eadcf2166)\n\n```\nHow we know this is a problem?\n```\n\nWhen we led Product & Engineering on Risk at Brex, we collaborated with Ops & Compliance teams on a daily basis. For Ops, one of the biggest pain points was declining Ops efficiency + quality of output. For Compliance, it was maintaining healthy relationships with banking partners and regulators. The reasons behind that were:\n\n1. **Complex Processes:** Expanding customer base led to complex reviews due to diverse profiles and services, complicating the process. Moreover, manual reviews are prone to errors and inefficiencies due to overwhelming data verification tasks.\n2. **Regulatory Compliance Burden:** Adhering to changing regulations in compliance (esp in KYC) required meticulous attention to detail, slowing down reviews.\n3. **Scaling via Outsourced Ops Teams:** We noticed a skills gap in outsourced teams regarding regulations and fintech processes, impacting review quality. Training them for consistency took significant time and investment.\n4. **Time-Consuming Regulatory Reports:** Creating detailed regulatory reports like Customer Due Diligence (CDD) and Enhanced Due Diligence (EDD) demanded significant time, complicated by language and cultural challenges, subsequently influencing the clarity and level of detail.\n\nThis posed \n\n1. **Business Risk** - suboptimal customer experience at the time of onboarding and worse, rejection of a legitimate customer, thereby losing revenue. \n2. **Compliance Risk** - hefty penalties (eg: Coinbase’s $100M fine), legal consequences, significant damage to the company's reputation, and even the potential loss of banking partnerships (existential crisis alert!).\n\nWe realized _Brex wasn’t the only fintech dealing with such risks tied to manual reviews_, and we started Accend to tackle these challenges head-on.\n\n```\nOur Solution \n```\n\nOur first use case is accelerating KYB manual reviews. It includes the following features:\n\n![uploaded image](/media/?type=post&id=73980&key=user_uploads/225420/324bc297-c392-4209-af77-19146a90b3e3)\n\n**Guided Review Workflow:** Accend simplifies the KYC procedure by converting the Standard Operating Procedure into a user-friendly, step-by-step guided review process for both internal and external Operations professionals.\n\n**Streamlined Online Research:** Instead of juggling numerous browser tabs to validate information about the business and its beneficial owners/controllers, Accend consolidates data through comprehensive web searches, presenting a summary for validation by Ops professionals.\n\n**Automated Due Diligence Reports:** Traditionally, crafting a CDD/EDD report can take up to 2 hours. Accend automates this process, generating high-quality narrative reports in the company's required template, thus saving valuable Operations time on a daily basis.\n\n**Audit Logs:** Accend establishes an audit trail for actions taken by Operations professionals and the automated processes during KYC manual reviews. This eliminates the need to scour various sources, extract logs, and document them, streamlining the auditing process\n\n```\nWhy Accend?\n```\n\nWith Accend, Fintechs can\n\n* Improve Ops’ quality of output with consistent procedures\n* Increase Ops’ efficiency with automation\n* Reduce cost in managing Ops teams \n* Maintain healthy relationships with banking partners and regulators\n\n```\nWho are we?\n```\n\n[Pranjal Daga](https://www.linkedin.com/in/pranjaldaga/) was most recently the Product Manager on the Risk team at Brex where he reduced fraud losses by $20M and worked on disputes, declines, login friction, etc. Before that, he dropped out of his PhD in AI/ML at Purdue University to help set up Cisco Innovation Labs where he grew the team from 1 to 35 in 4 years.\n\n[Yutong Pei](https://www.linkedin.com/in/yutong-pei-81006842/) was most recently the Engineering Manager on the Fraud Risk team at Brex where he built the Disputes service, and worked on fraud controls by managing engineers and data scientists. Previously, he has led Fraud Engineering and Security for IoTeX, Uber, and Amazon. \n\n[Joseph Zhou](https://www.linkedin.com/in/joseph-tianshi-zhou/) was most recently the CFO of a mobile gaming startup based in Singapore with a 50M ARR. He established the company’s licensed poker operation in Europe and scaled the team from 0 to 80 members, while also managing KYC, AML, compliance, responsible gaming, and fraud prevention.\n\n```\nOur ask \n```\n\nWe’re looking to connect with Ops & Compliance leaders at B2B Fintechs and BaaS providers to explore how Accend can help them improve Ops efficiency & quality and excel on compliance.\n\n```\nLaunch YC Promo\n```\n\nWe’re offering 60 days of free pilot for new customers through the end of August. \n\nWe will work with you regularly to learn about your process, create customized guided review workflows for your company and support you in every way while you’re using Accend.\n\n**Check us out at **[**https://www.withaccend.com/**](https://www.withaccend.com/)**, drop me a note at **[**pranjal@withaccend.com**](mailto:pranjal@withaccend.com)**, or **[**schedule a demo**](https://calendly.com/pranjal-accend/accend-design-partner-program)** to get started.**\n\nThank you 🙏", "url": "https://www.ycombinator.com/launches/JFE-accend-accelerate-manual-reviews-for-fintech-ops-compliance-teams", "votes": 57, "created_at": "2023-08-09T22:21:19.072Z" } ] }, { "id": 28787, "name": "Deasy Labs", "slug": "deasy-labs", "former_names": [ "Deasie" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b2f7a8dffc7dc8a6fdb4c13dce765cc7d2820b9a.png", "website": "https://www.deasylabs.com/", "all_locations": "New York City, NY, USA", "long_description": "Deasy Labs was acquired by Collibra in July 2025 (global leader in enterprise data governance).\r\n\r\nDeasy Labs provides metadata orchestration for AI workflows. Deasie's platform provides the best way for AI teams to create and embed high-quality, customized metadata into their AI workflows (e.g., RAG, Agentic frameworks).\r\n\r\nOur three founders (from Amazon, McKinsey/QuantumBlack & MIT) previously built an ML data governance tool from 0 to 1 within McKinsey, which we deployed with 11 Fortune 500 companies. We saw in early 2023 the ability to create high-quality metadata (without reliance on domain experts) would be a key factor in achieving the accuracy & speed in GenAI applications required for production. \r\n\r\nOur investors include General Catalyst, Y Combinator, RTP Global and world experts in enterprise data. Website: https://deasylabs.com", "one_liner": "Metadata for GenAI workflows", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1691123582, "tags": [ "Data Labeling", "Big Data", "AI", "AI Assistant", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/deasy-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/deasy-labs.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/deasie", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b2f7a8dffc7dc8a6fdb4c13dce765cc7d2820b9a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1227239, "full_name": "Reece Griffiths", "title": "Founder", "founder_bio": "Co-founder of Deasy Labs (YC S23): Data governance for language models in the enterprise. \n\nExited Deasy Labs to Collibra in < 2 yrs (global leader in data governance).\n\nMy documented startup journey: https://reecegriffiths.substack.com/\n\nPrior experience: QuantumBlack: Product Manager for AI for Data Governance product (1.5 yrs); McKinsey & Company: Management consultant (2 yrs); X26: Founder of X26 (global entrepreneurs community); University of Cambridge: Masters in information engineering.", "is_active": true, "linkedin_url": "https://linkedin.com/in/reece-william-griffiths", "x_url": "https://twitter.com/ReeceWGriffiths", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53fe8f42805f99012d0a74523cf2874504663377.jpg" }, { "user_id": 1237667, "full_name": "Mikko Peiponen", "title": "Founder", "founder_bio": "Mikko is the co-founder of Deasie. He is a technologist with deep experience (5+ years) in data and machine learning space from McKinsey and QuantumBlack, where he implemented and deployed models at large enterprises. Prior to moving into the world of data governance for language models with Deasie, he was the Lead data scientist building AI data quality tool at QuantumBlack. Mikko holds a graduate degree from MIT.", "is_active": true, "linkedin_url": "https://linkedin.com/in/mikkopeiponen", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9dd45b70aec24740409919d85c62d51a6b55da39.jpg" }, { "user_id": 1226121, "full_name": "Leonard Platzer", "title": "Founder", "founder_bio": "Co-founder of Deasy Labs: The Metadata Engine for search usecases. \n\nPrior experience: QuantumBlack: Software Engineer, Machine Learning at AI for Data Quality product; Previous Engineer at Amazon, Mercedes-Benz and ChatBot Startup (E-Bot 7); Bachelor from National University of Singapore and Graduate from UWC Mostar", "is_active": true, "linkedin_url": "https://linkedin.com/in/leonardplatzer", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/91e9bdf6844bdc43fac38dbfaa0bf7fedda307c0.jpg" } ], "jobs": [], "news": [ { "title": "Data governance platform Deasie raises $2.9 million in seed funding - Business Leader News", "url": "https://www.businessleader.co.uk/deasie-raises-2-9-million-seed-funding/", "date": "Oct 13, 2023" }, { "title": "Lakera and Deasie raise funding to make AI large language models more reliable - SiliconANGLE", "url": "https://siliconangle.com/2023/10/12/lakera-deasie-raise-funding-make-large-language-models-reliable/", "date": "Oct 12, 2023" }, { "title": "Deasie raises $2.9M for data governance platform expansion - Tech.eu", "url": "https://tech.eu/2023/10/12/deasie-raises-29-million-for-data-governance-platform-expansion/", "date": "Oct 12, 2023" }, { "title": "Deasie raises $2.9M for data governance platform expansion - Tech.eu", "url": "https://tech.eu/2023/10/12/deasie-raises-29-million-for-data-governance-platform-expansion/", "date": "Oct 12, 2023" }, { "title": "Deasie wants to rank and filter data to make generative AI more reliable | TechCrunch", "url": "https://techcrunch.com/2023/10/12/deasie-wants-to-rank-and-filter-data-to-make-generative-ai-more-reliable/", "date": "Oct 12, 2023" } ], "launches": [ { "id": 73808, "title": "Deasie - Data governance for language model applications", "tagline": "Is your enterprise data ready for language models?", "body": "**tl;dr: Deasie ensures that only relevant, high-quality, and safe data is fed into language models.**\n\nHi! We’re Reece, Leo, and Mikko and we’re excited to launch [Deasie](https://www.deasie.com).\n\n⚠️ **Problem**\n\nFor the first time, companies are turning towards their masses of unstructured data (e.g., documents, reports, emails) for a range of Generative AI use cases. Today, most companies are unable to answer the critical questions needed to ensure language models are trained and deployed reliably: Does this data contain sensitive information? Is this the most relevant data for this problem? Are there inconsistencies in the data that could skew my results?\n\n💡 **Solution**\n\nDeasie is a platform that provides automated checks for compliance (e.g., PII & proprietary data) and quality (e.g., irrelevant, untimely, or inconsistent information) of unstructured data, to reliably govern which data is used for which language model use case.\n\n👨‍👦‍👦 **The Team**\n\nFounders Leo, Mikko & Reece previously built McKinsey's award-winning product that used AI to enhance data quality in the enterprise, built ML applications across QuantumBlack, MIT, Amazon, and Mercedes, and have now set out to unlock the power of unstructured data for the upcoming wave on language model applications.\n\n![uploaded image](/media/?type=post&id=73808&key=user_uploads/1237667/ede65ff1-1431-4c6f-88aa-dd343d325f4d)\n\n👋 **Ask**\n\n**Lots of companies must be delving into the world of LLMs. If you’ve encountered challenges identifying and using high-quality input data (e.g., data that is relevant, timely, accurate, and consistent), then we’d love to hear from you! Please reach out to us at** [**leonard@deasie.com**](mailto:leonard@deasie.com)", "url": "https://www.ycombinator.com/launches/JCS-deasie-data-governance-for-language-model-applications", "votes": 16, "created_at": "2023-08-04T06:57:33.350Z" } ] }, { "id": 28788, "name": "Hyperbound", "slug": "hyperbound", "former_names": [ "CleverCall", "Hyper" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d914e5099612c52b407ca205a19346b7915e770f.png", "website": "https://hyperbound.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Hyperbound is the leading enterprise-first Revenue Activation Platform, pioneering a new category focused on turning insights into revenue-driving actions. Hyperbound AI analyzes thousands of sales calls to identify the behaviors that lead to closed-won deals, then transforms those insights into realistic, highly customizable human-like roleplays with AI buyers that drive behavior change at scale.\r\n\r\nTrusted by enterprises like IBM, LinkedIn, Monday.com, Bloomberg, Vanta, Autodesk, and G2, Hyperbound helps revenue teams ramp 50% faster, define what good looks like, and scale top performance across thousands of reps.\r\n\r\nInterested in trying it out today? Start a free demo simulation at https://app.hyperbound.ai/buyers and book time with our team to learn more.", "one_liner": "Revenue Activation Platform", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1690226897, "tags": [ "AI-Enhanced Learning", "B2B", "Sales", "Sales Enablement", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hyperbound", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/hyperbound.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hyperbound-ai/about/?viewAsMember=true", "x_url": "https://twitter.com/HyperboundAI", "fb_url": "https://www.facebook.com/profile.php?id=100094883662192", "cb_url": "https://www.crunchbase.com/organization/hyperbound-fc9e", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d914e5099612c52b407ca205a19346b7915e770f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c752c9814deef3fa3b7f9894d141d24138c22363.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1378610, "full_name": "Sriharsha Guduguntla", "title": "Founder", "founder_bio": "Call me Sai! CEO @ Hyperbound (https://hyperbound.ai/). I am self-learned full-stack engineer and designer with experience building products for 12+ years. Formerly a founding engineer @ Bloom (YC W21), engineering @ Salesforce Einstein, researcher @ UC Berkeley RISE Lab, and I'm a UC Berkeley alum 🐻 Go Bears! \n\nLove to talk music or basketball anytime. Fun fact: Lebron's the 🐐\n\n// sriharshaguduguntla.com", "is_active": true, "linkedin_url": "https://linkedin.com/in/sguduguntla", "x_url": "https://x.com/sguduguntla11", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7a354fd3eb088045fa23039b45e8c549038bcf22.jpg" }, { "user_id": 1403843, "full_name": "Atul Raghunathan", "title": "Founder", "founder_bio": "CTO @ Hyperbound. I am an AI engineer and Language Model researcher with a strong background building enterprise-grade ML personalization systems currently used by billions of users. \n\nAlso a huge Mercedes F1 fan 🏎️ and avid rock climber 🧗. \n", "is_active": true, "linkedin_url": "https://linkedin.com/in/atul-raghunathan-0743ba168", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b785a8d3f1d4c51b15ee9a3cb627b3fa4f77863a.jpg" } ], "jobs": [ { "id": 72645, "title": "Senior Full-Stack Engineer, Product", "url": "https://www.ycombinator.com/companies/hyperbound/jobs/RzDBxNi-senior-full-stack-engineer-product", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$190K - $250K", "equity_range": "0.15% - 0.30%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Node.js", "PostgreSQL", "Python", "React", "TypeScript", "Next.js" ] }, { "id": 87357, "title": "Enterprise Account Executive", "url": "https://www.ycombinator.com/companies/hyperbound/jobs/gtsH2JD-enterprise-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$320K - $360K", "equity_range": "0.05% - 0.11%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102721, "title": "Mid Market Account Executive, Existing Business", "url": "https://www.ycombinator.com/companies/hyperbound/jobs/tvJPAYL-mid-market-account-executive-existing-business", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$210K - $240K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 111686, "title": "Technical Customer Success Manager, Mid Market", "url": "https://www.ycombinator.com/companies/hyperbound/jobs/ulEGA6b-technical-customer-success-manager-mid-market", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$130K - $160K", "equity_range": "0.03% - 0.05%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116341, "title": "Creative Video Producer / Motion Designer", "url": "https://www.ycombinator.com/companies/hyperbound/jobs/Hk2tpbQ-creative-video-producer-motion-designer", "location": "San Francisco, CA, US", "type": "Contract", "role": "Marketing", "role_type": null, "salary_range": "$110K - $130K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Hyperbound Raises USD 15 Mn to Expand AI Sales Training Platform | Entrepreneur", "url": "https://www.entrepreneur.com/en-in/news-and-trends/hyperbound-raises-usd-15-mn-to-expand-ai-sales-training/497218", "date": "Sep 17, 2025" }, { "title": "YC-backed Hyperbound raises $15M from Peak XV | YourStory", "url": "https://yourstory.com/2025/09/funding-yc-backed-hyperbound-15m-peak-xv", "date": "Sep 16, 2025" }, { "title": "Hyperbound Raises $15 Million Series A to Make Sales Coaching Scalable with AI Sales Roleplays", "url": "https://finance.yahoo.com/news/hyperbound-raises-15-million-series-191000599.html", "date": "Sep 16, 2025" }, { "title": "AI sales tech startup Hyperbound raises $15 million from Peak XV Partners, others - The Economic Times", "url": "https://economictimes.indiatimes.com/tech/funding/ai-sales-tech-startup-hyberbound-raises-15-million-from-peak-xv-partners-others/articleshow/123923841.cms", "date": "Sep 16, 2025" }, { "title": "Sales Upskilling Provider Hyperbound Raises $15 Million Series A", "url": "https://www.forbes.com/sites/dereknewton/2025/09/15/sales-upskilling-provider-hyerbound-raises-15-million-series-a/", "date": "Sep 15, 2025" } ], "launches": [ { "id": 77356, "title": "🚀 Hyperbound: Sales Call Roleplay with Realistic AI buyers", "tagline": "Build your sales rep a sparring partner in under 20 minutes", "body": "### [Live Demo Link](https://app.hyperbound.ai/buyers?invite=aB4eCpXzR9)\n\n**TL;DR** Hyperbound is a simulated roleplay platform that turns your ICP descriptions into interactive AI agents in less than 20 minutes. Hyperbound ramps your reps faster and keeps them warmed up, increasing conversion rates on cold and discovery calls.\n\nTraditionally, it takes an average sales rep \\~400 cold call conversations to ramp up and consistently deliver the message in difficult situations. This organic process usually takes between 3 to 9 months. However, with Hyperbound, your reps can achieve that same level of proficiency in less than a week!\n\n![uploaded image](/media/?type=post&id=77356&key=user_uploads/1403843/780bdcd3-23a7-4344-9482-de3c29ab1272)\n\n### **Long ramp and low conversion for your sales reps**\n\nEven with a parallel dialer, the best reps can only manage about 20 connections per day, resulting in approximately 3-5 conversations.\n\nIt takes an average cold-calling sales representative around 400 conversations to start meeting their quota, which traditionally could take anywhere between 3 to 9 months.\n\nHowever, reps who engage in daily roleplays during training, and to warmup before their calls have shown to meet their quotas up to 3x faster, and have a higher conversion rate.\n\n### **Your reps are forced to practice on your prospects**\n\nMastering cold and discovery calls is a challenging task that requires regular practice and reinforcement.\n\nBut here's the catch with roleplay. It's just awkward, eats up your managers' time, and puts a cap on how many reps each manager can handle.\n\nMost organizations lack the practice they need, forcing their representatives to practice on the few prospects they manage to connect with each day.\n\n### **Solution: The Hyperbound Platform**\n\nHyperbound is a simulated roleplay platform that can transform your Ideal Customer Profile (ICP) descriptions into interactive AI agents in less than 20 minutes.\n\nOur simulations allow your representatives to ramp up quickly and stay prepared, increasing conversion rates on cold and discovery calls.\n\nWith Hyperbound, your representatives can reach the 400 conversations they need ramp up in under a week.\n\n![uploaded image](/media/?type=post&id=77356&key=user_uploads/1403843/71c68268-3c8e-4486-9311-799a2a94d815)\n\n### **Features**\n\n* Create bots in less than 20 minutes to give your reps access to the wide range of personas you sell to. These bots accurately reflect the personalities, objections, opinions, and pain points your reps encounter.\n* Custom scorecards analyze performance on each segment of the call. Their consistency helps you get a unbiased picture of how each reps performance changes over time.\n* Your Manager Dashboard and Rep Leaderboards let you quickly identify A-players and those who need extra help.\n* Create Assignments to set goals for onboarding reps or for those warming up at the start of the day.\n\n### **Our Team**\n\nOur team is built of Sales Coaches, AI engineers, and engineers from Salesforce’s Einstein. Our product has only been possible for a few months now, and we’re so excited to be on the cutting edge of this simulation tech.\n\n### **Your team could be live on Hyperbound tomorrow**\n\nGet access to start building your own agents\n\n* Try Our Live Demo → \n* Interested how this could work for your org? Let’s chat → [founders@hyperbound.ai](mailto:founders@hyperbound.ai)", "url": "https://www.ycombinator.com/launches/K7g-hyperbound-sales-call-roleplay-with-realistic-ai-buyers", "votes": 19, "created_at": "2024-01-09T21:04:35.250Z" }, { "id": 73368, "title": "🚀 Hyperbound: Hyper-personalize your sales emails at scale", "tagline": "Research, generate, and launch hundreds of personalized email campaigns with one click.", "body": "TL;DR **Say goodbye to generic templates—hyper-personalize your sales emails at scale with Hyperbound. Instantly research your prospects and link your company’s value prop to their specific needs.**\n\nWe research prospects from 40+ web sources, including LinkedIn, Google, TechCrunch, Gartner, Crunchbase, etc., and organize domain-specific data from tools like 6sense, ZoomInfo, Clearbit, and your chosen CRM. Our AI creates individual personas for each prospect and customizes a personalized sales email campaign in your voice to address their pain points and preferred communication style. Strict guardrails ensure reliably high-quality output, ready to send with your sales enablement platforms (Outreach, Salesloft, Apollo, HubSpot, etc) without the need for additional review.\n\n### 🚀 Our Team:\n\nHello World! We’re Atul and Sriharsha, the team behind Hyperbound! We’ve been close friends since high school. We have worked on everything from the ML behind Meta’s Ad Personalization to Salesforce’s Einstein Chatbots. We’re putting all our Salestech and NLP research experience into building the next generation of content personalization!\n\n![uploaded image](/media/?type=post&id=73368&key=user_uploads/1403843/ab287a55-7651-44d2-81a9-93ea9fb14d14)\n\n### 🧨 The Problem: Personalization isn’t scalable\n\n* **Sales emails, especially for B2B sales, must be personalized** to stand out in a crowded inbox. In B2B sales, time spent at the outbound stage can have a massive ROI. More high-quality outbound emails → more chance of contacting the lead that will convert.\n* **Personalized sales emails have at least **[**double**](https://woodpecker.co/blog/cold-email-statistics/#double-your-email-reply-rate-with-advanced-personalization)** the response rate** as basic templated emails, but researching your prospects and drafting exceptional personalized sales emails takes time.\n\n### 💡Our Solution: Reliably High-quality Automatic Personalization\n\nBook a demo at: [hyperbound.ai](http://hyperbound.ai)\n\n![uploaded image](/media/?type=post&id=73368&key=user_uploads/1403843/32f0bfd5-7f8e-45d1-a0a5-907d38252e83)\n\n* Research, generate, and launch hundreds of personalized email campaigns with one click\n* Integrate with your sales enablement tools, industry-specific data enrichment, and CRM of choice (ex: Outreach, ZoomInfo, Salesforce)\n* Maintain your voice — your emails sound like you!\n* Automatically identify personas and adjust messaging experimentally\n\n ![uploaded image](/media/?type=post&id=73368&key=user_uploads/1403843/0406c269-1d99-49ad-ab51-e781c3c7fd04)\n\n * Connect your solution with the specific pain points of each prospect for optimal engagement\n * Subject lines that are tuned to the psychology of each prospect\n * Data-driven modeling adjusts email and subject wording for each persona\n* Improve your custom AI engine with natural language feedback\n\n ![uploaded image](/media/?type=post&id=73368&key=user_uploads/1403843/84797afe-ef58-47cb-93df-dd22716c544f)\n\n* Enjoy tough guardrails — brand-safe messaging without hallucinations\n\n### 👋 Our Ask:\n\n* Reach out today to get access to our latest email personalization algorithm! Let us know if you’re interested in a pilot. Bonus points for feedback!\n* Have an outbound email campaign? Know anyone who does? Ask them to book a demo at [hyperbound.ai](http://hyperbound.ai) or drop us a note at [founders@hyperbound.ai](mailto:founders@hyperbound.ai)", "url": "https://www.ycombinator.com/launches/J5M-hyperbound-hyper-personalize-your-sales-emails-at-scale", "votes": 74, "created_at": "2023-07-24T19:12:59.775Z" } ] }, { "id": 28789, "name": "Dioxus Labs", "slug": "dioxus-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9c857de01ac0dcd9450546b9d0375b049abacf5a.png", "website": "https://dioxuslabs.com", "all_locations": "San Francisco, CA, USA", "long_description": "Dioxus makes it easy for developers to quickly build, test, deploy, and manage apps on every platform. We support building and deploying apps for the web, desktop, mobile, AR/VR, and many other exotic targets.", "one_liner": "Web, Desktop, and Mobile apps with one codebase in Rust", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1686238381, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "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/dioxus-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/dioxus-labs.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dioxus-labs/", "x_url": "http://twitter.com/dioxuslabs/", "fb_url": null, "cb_url": null, "github_url": "http://github.com/dioxusLabs/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9c857de01ac0dcd9450546b9d0375b049abacf5a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/03b07b7eb904e54370728a86080bd1cb1a3fc165.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/33d29abc0895875992db161d2e84ea01594da13b.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 749074, "full_name": "Jonathan Kelley", "title": "Founder", "founder_bio": "Open source enthusiast with a background in hard engineering and physics. \n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/jonathan-r-kelley", "x_url": "http://twitter.com/jkelleyrtp", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/79c820156c8355cf0d38ec427778b2db93f83e37.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73738, "title": "Dioxus Labs - Web, Desktop, and Mobile apps with one codebase", "tagline": "We make it easy for developers to build apps that run anywhere", "body": "**tldr**; [Dioxus Labs](https://dioxuslabs.com/) makes it easy for developers to write an app once and run it on nearly any platform. Our open-source Rust library has over 10,000 stars on GitHub and is used by Airbus, the European Space Agency, and Huawei.\n\n—\n\nHi everyone, I’m Jonathan Kelley, the solo founder behind Dioxus Labs. A year ago, Dioxus was just a college side project. Now, it’s my full-time job, used by some of the world’s top companies. Before Dioxus, I worked at Cloudflare, interned at NASA, and researched plasma physics.\n\n![uploaded image](/media/?type=post&id=73738&key=user_uploads/749074/df721fdb-e2c2-4cf3-b002-dc71be942743)\n\n### **🥊 Building apps can be really hard**\n\n---\n\nBuilding apps can be challenging. App developers must navigate a complicated maze of tooling, libraries, and programming languages. Building an app that works on iOS, Android, Mac, Linux, and Windows is out of reach for many developers.\n\nSmall teams especially struggle with shipping cross-platform apps:\n\n* Few developers know Mobile, Desktop, _and_ Web development\n* There are hundreds of different tools to learn\n* Current solutions are missing major features\n* It’s really easy to build slow apps\n\nNone of the leading options like React Native, Flutter, Electron, or native make it easy for a small team to ship cross-platform apps quickly.\n\n### **✨ How do we make it easy?**\n\nWith Dioxus, developers can write their app once and then ship it to users on the web, desktop, and mobile. Instead of learning dozens of different technologies like backend, frontend, and mobile, app developers only need to learn Dioxus to build and ship their app.\n\nDevelopers build their apps in Rust with a React-like syntax and style their apps with HTML and CSS, making the onboarding from web development simple.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=73738&key=user_uploads/749074/b60dfc39-1d47-4028-99c5-86a906507f3a)\n\nThe project is entirely open source and written in Rust: developers’ most loved programming language.\n\n![uploaded image](/media/?type=post&id=73738&key=user_uploads/749074/162ae1d4-16a7-47cc-89cd-b2166f43f415)\n\nIn the future, Dioxus Labs will provide a paid deployment platform that helps developers deploy and scale their Dioxus apps to their users.\n\n### **🚀 Is it working?**\n\n---\n\nThe past year has been great - the library has grown to almost 10k GitHub stars, 60k downloads, and companies like Huawei shipping production apps with Dioxus.\n\n![star history](https://i.imgur.com/Idni1n9.png)\n\nAirbus and the European Space Agency are building a [collision avoidance system](http://skytrace.space/):\n\n![](https://bookface.ycombinator.com/media/?type=post&id=73738&key=user_uploads/749074/e7130cf8-8e8a-400f-9c30-ffb7e84047d9)\n\n[Satellite.im](http://satellite.im/) is building a [peer-to-peer Discord competitor](https://uplink.satellite.im/):\n\n![uploaded image](/media/?type=post&id=73738&key=user_uploads/749074/2d40c8b2-63e3-4f50-8da4-54589f4bd701)\n\nA community member is building a [beautiful Mastadon client](https://terhech.de/ebou/):\n\n![](https://bookface.ycombinator.com/media/?type=post&id=73738&key=user_uploads/749074/74570fa3-f926-449d-865b-76eb6ebf46da)\n\n### **🤝 How can you help?**\n\n---\n\nWe’re hard at work building a deploy platform for Dioxus. In the meantime, we’d love your support:\n\n* [Star us on GitHub](http://github.com/dioxusLabs/dioxus) [⭐](https://emojipedia.org/star/)\n* Try out Dioxus for your next idea or internal tool\n* Recommend a great Rust engineer who might be interested in working at Dioxus Labs\n\nWe’re around in our community [Discord](https://discord.gg/XgGxMSkvUM), but feel free to reach out directly if this is at all interesting to you.", "url": "https://www.ycombinator.com/launches/JBK-dioxus-labs-web-desktop-and-mobile-apps-with-one-codebase", "votes": 29, "created_at": "2023-08-02T21:40:38.712Z" } ] }, { "id": 28790, "name": "Watto AI", "slug": "watto-ai", "former_names": [ "Tensai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/62df8d00aee97fbc37cd80f37caca0808a69a3a4.png", "website": "https://www.watto.ai", "all_locations": "", "long_description": "Watto AI uses LLMs to generate McKinsey quality reports in seconds. Customers use us to generate anything from high-quality marketing reports, custom white papers to product documents and more.", "one_liner": "AI-powered McKinsey-quality reports in seconds", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1688094375, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Productivity" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/watto-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/watto-ai.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/watto-ai", "x_url": "https://twitter.com/Watto_AI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/62df8d00aee97fbc37cd80f37caca0808a69a3a4.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": 1157548, "full_name": "Rishabh Panwar", "title": "Founder", "founder_bio": "Founder & CEO at Watto AI. ex-CMU grad, entrepreneur and explorer.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/rishabhpanwar/", "x_url": "https://twitter.com/RISHABHPANWAR27", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bbed3560f4462aff352782e0d50885a26a91c840.jpg" }, { "user_id": 1087148, "full_name": "Ishita Bhandari", "title": "Founder", "founder_bio": "A serial entrepreneur and UW alum with 7+ years of software development experience. I've worked at companies like StubHub and DoorDash, enhancing mobile apps and user experiences. Other than tech, I'm passionate about music.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/ishita-bhandari/", "x_url": "https://twitter.com/Ishita_bhandari", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fd3a6175cb8dbf3a6dd80e7c54886c8784c2bb3c.jpg" }, { "user_id": 1080442, "full_name": "Suryansh Soni", "title": "Founder", "founder_bio": "Experienced founder with a demonstrated history of working in the computer software industry. Motivated to develop highly scalable systems to solve cutting edge problems. Strong business development professional with a Master of Science in Information Technology focused in Software Engineering from Carnegie Mellon University.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/suryanshsoni/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e01f37f87720fd5d3862bc39fc5b4c84155cb8c6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73420, "title": "Watto AI - Intelligent document creation for product managers", "tagline": "Help PMs in writing intelligent, context-aware documents", "body": "**TL;DR**\n\n**Watto AI** empowers **Product Managers** to save \\~10 hours/week on document creation. With Watto, you can seamlessly link user interviews, market research, data analysis, and more to automatically generate essential documents, such as PRDs, GTM strategies, etc. Reclaim your valuable time to focus on what’s most important: users and product.\n\n(Not a PM? No worries, please leave a comment below or email us at [rishabh@watto.ai](mailto:rishabh@watto.ai) – happy to discuss your specific use case)\n\n(Fun Fact: 85% of this document was written using Watto in 10 seconds)\n\n### 🤸🏻‍♀️ **The Team**\n\nIshita, Suryansh, and I (Rishabh) have known each other for a decade having worked on multiple projects and a startup back in India.\n\n(Fun Fact 2: Ishita and I are married, meanwhile, Suryansh’s fiancee is also someone named Ishita. We are gearing up for lots of confusion 😂)\n\n![uploaded image](/media/?type=post&id=73420&key=user_uploads/1157548/0fb12160-f41f-4f1d-8ba8-84ebf4e899d3)\n\n### **😵‍💫 The Problem**\n\nWhile working at our respective companies, we realized that our Product Manager counterparts spent a whopping 40% of their time writing different forms of content (slides, docs, emails, messages, etc.) for their disparate audiences. The process of gathering and organizing critical data from 100’s of sources is overwhelming, time-consuming, and error prone. It also takes away critical time from important things such as strategic product planning, market research, user interviews, etc.\n\n### **💡 The Solution**\n\n![uploaded image](/media/?type=post&id=73420&key=user_uploads/1157548/5e4a8e02-974f-40cf-abad-cf135e49193e)\n\nWatto AI is the game-changer you've been waiting for! We provide you with:\n\n* **20+ Integrations**: Seamlessly integrate data from different platforms like Google Suite, Notion, etc.\n* **AI Co-Pilot**: Inline co-pilot to help you rephrase, summarize, extract action items, and more\n* **Templates**: Existing templates for popular use cases like creating PRDs, GTM strategy, launch comms, etc.\n\nUsing Watto, PMs avoid writer’s block and save time from the drudgery of copy+pasting to focus on building a better user experience and product.\n\nHere’s a live representation of what PMs are already achieving with Watto:\n\n![uploaded image](/media/?type=post&id=73420&key=user_uploads/1157548/f1a628e0-11a3-47c6-bc28-e1ccfc6b99c2)\n\nTo get started, you have 5 free documents on us. Sign up now at [Watto AI](https://www.watto.ai/?utm_source=yc_launch&utm_medium=inline_text)\n\n### **🔮 Coming Soon**\n\n* Import critical domain knowledge from 20+ popular integrations like Confluence, Salesforce, Figma, and more on the way\n* Automated workflows like the creation of Jira tickets, launch emails, etc. from a PRD\n* Support to create presentations\n\n### **🙏 Our Asks**\n\n* Intro to Product Managers / CPO / VP of Product in your network\n* Feedback on the product\n\nThanks,\n\nIshita, Rishabh & Suryansh", "url": "https://www.ycombinator.com/launches/J6C-watto-ai-intelligent-document-creation-for-product-managers", "votes": 56, "created_at": "2023-07-25T19:38:39.668Z" } ] }, { "id": 28791, "name": "Linc.", "slug": "linc", "former_names": [ "Linc.", "Linc" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/edeb2950ef8623edd1101ecf078b8af20c07a0a8.png", "website": "https://withlinc.com", "all_locations": "San Francisco, CA, USA", "long_description": "Linc is a process intelligence platform that helps enterprises understand how work actually gets done. It captures operational knowledge across people, documents, and systems, then turns it into a clear roadmap for process improvement, transformation, automation, and AI.", "one_liner": "AI-Native Process Mining and Enterprise Transformation Platform", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1686779307, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/linc", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/linc.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/linc-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/edeb2950ef8623edd1101ecf078b8af20c07a0a8.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": 476414, "full_name": "Rahul Prakash", "title": "Founder", "founder_bio": "Solving hard problems @ Linc AI. Interested in algorithms, data and ML.", "is_active": true, "linkedin_url": "https://linkedin.com/in/rahul-prakash-538633225", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ee05f1165d65b53315aae0195111aa128f7e227e.jpg" }, { "user_id": 1142226, "full_name": "Shrey Sambhwani", "title": "Founder", "founder_bio": "Cofounder of Linc, the discovery layer for enterprise AI. Helping companies capture how work actually gets done.", "is_active": true, "linkedin_url": "https://linkedin.com/in/shreysambhwani", "x_url": "https://x.com/shrey_sambhwani", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aba693e32a9c8b3561c487c20205f69badbdd75b.jpg" }, { "user_id": 653758, "full_name": "Harshavardhan Srijay", "title": "Founder", "founder_bio": "Building Linc AI. Interested in AI and decision-making. \n", "is_active": true, "linkedin_url": "https://linkedin.com/in/harshavardhan-srijay", "x_url": "https://twitter.com/HarshaSrijay", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b2cf1c8d5c2a42c31a13e80f3b6433ddd47c916d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 119635, "title": "Linc: The discovery layer for enterprise AI", "tagline": "Linc is an AI-native process intelligence platform that captures workflows and unwritten business rules, identifies where AI can create value, and provides the context to redesign processes and build agents.", "body": "**TL;DR:** Linc turns workflow recordings, AI interviews, and existing operational knowledge into SOPs, process maps, and prioritized improvements. That knowledge becomes a shared memory your team can query and build on for future transformation projects. We're live in 20+ enterprises.\\\n\\\nLearn more at: \n\nLaunch Video: \n\n**Why we built this**\n\nWe started by deploying AI agents for enterprises and spent more time scoping them than building them. Much of what we needed was tribal knowledge: people knew which rules applied to a particular customer or vendor, but those rules had never been written down.\n\nWe’d miss those details during scoping and only uncover them when implementation got stuck. We built Linc to capture that knowledge during discovery and keep building on it.\n\n**What Linc does**\n\n* **Scout** combines workflow recordings with AI interviews to capture steps, decisions, business rules, and handoffs.\n* Linc generates draft SOPs and process maps in minutes, including the exceptions captured during discovery.\n* **Architect** uses that evidence to rank opportunities for AI, automation, and process improvement.\n\nTeams can also bring in existing process documents, meeting transcripts, and system logs to add context to what employees record and explain.\n\nFor example, a recording might show someone routing a case to a manager. The interview can uncover the approval rule behind that decision. Linc brings both into the process documentation.\n\n**A shared memory for future projects**\n\nWe think of Linc as a system of record for process transformation: a shared memory of your organization’s workflows, business rules, and decisions.\n\nYour team can ask questions about a process, add new context, and create training materials, change management plans, or roadmaps for leadership. That context also helps ground AI agents in your company’s workflows and rules.\n\nAs your team captures more work and adds what it learns, the knowledge compounds. Each new project builds on what you’ve already captured.\n\nEmployees control their recordings. No system integrations are needed to start capturing. Linc is SOC 2 Type II audited and HIPAA compliant.\n\nWe’re working with Fortune 500 companies in utilities, pharma, and supply chain.\n\n**Our asks**\n\n1. **Enterprise introductions.** We’d appreciate intros to transformation, operational excellence, and operations leaders who are prioritizing AI initiatives or preparing a manual process for automation.\n2. **Agent-company partnerships.** We already work with organizations through white-label and direct partnerships. That can include integrating Linc with their solution or exporting outputs in formats their teams and platforms can use. If you’re scoping an active deal or customer project, especially with forward-deployed engineers working directly with customers, we’d love to show you how Linc can help with discovery and requirements.\n3. **PE introductions.** We’d appreciate intros to operating partners and value creation teams helping portfolio companies improve operational efficiency and accelerate AI transformation.\n\nReach out at [founders@linc-ai.com](mailto:founders@linc-ai.com).\n\nBook a demo:[ https://withlinc.com/book](https://withlinc.com/book)", "url": "https://www.ycombinator.com/launches/V7b-linc-the-discovery-layer-for-enterprise-ai", "votes": 6, "created_at": "2026-10-06T17:10:15.549Z" } ] }, { "id": 28792, "name": "AIVideo.com", "slug": "aivideo-com", "former_names": [ "Infobot" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d03c30b0113defcc8d68006b720c0d4b33928099.png", "website": "https://aivideo.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Superhuman video production as a service", "one_liner": "Superhuman video production as a service", "team_size": 12, "industry": "B2B", "subindustry": "B2B", "launched_at": 1690071004, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/aivideo-com", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/aivideo-com.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://x.com/AIVideoDotCom", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d03c30b0113defcc8d68006b720c0d4b33928099.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": 1368136, "full_name": "Justin Harvey", "title": "Founder", "founder_bio": "Building superhuman video production as a service - AIVideo.com ", "is_active": true, "linkedin_url": "https://linkedin.com/in/justin-harvey-68a963b6", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a770c117c4d369c86f4ecd28a8fca4299163f3f8.jpg" }, { "user_id": 1338903, "full_name": "Eduardo Faraday", "title": "Founder", "founder_bio": "Building AIVideo.com - Best AI for Video Production\n\nFormer founder at Workep. Scaled to +300k users. Prev. Product lead at Oasis, first AI Video Avatars. @BerkeleySkydeck | StanfordLB", "is_active": true, "linkedin_url": "https://linkedin.com/in/edufaraday", "x_url": "https://twitter.com/EduardoFaraday", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8026db72d0531121d8121744d71fe6c3a07cb971.jpg" }, { "user_id": 1279347, "full_name": "Orestis Lykouropoulos", "title": "Founder", "founder_bio": "Greek born, US based software engineer & composer.\nPassionate about language applications of ML (ex AWS AI, ex Alexa) and orchestral music.", "is_active": true, "linkedin_url": "https://linkedin.com/in/olykos", "x_url": "https://twitter.com/orestislykos", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/41471f607a3897bda0b35e44a702861b7a08eb89.jpg" } ], "jobs": [ { "id": 94099, "title": "Marketing Consultant (Meta Ads)", "url": "https://www.ycombinator.com/companies/aivideo-com/jobs/qW8ZHHF-marketing-consultant-meta-ads", "location": "Remote", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$70K - $150K", "equity_range": "0.10% - 1.00%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 108586, "title": "Head of Studio (AIVideo.com) ", "url": "https://www.ycombinator.com/companies/aivideo-com/jobs/J6OC5CG-head-of-studio-aivideo-com", "location": "Oakland, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$50K - $150K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 28793, "name": "Stellar Sleep", "slug": "stellar-sleep", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/da6718234e74459d1a141e394578816bcde9baf0.png", "website": "https://stellarsleep.com/", "all_locations": "San Francisco, CA, USA", "long_description": "25 million Americans with chronic insomnia are getting inadequate and superficial care advice (e.g. cutting coffee, meditation etc.), when in reality, their sleep problems are often driven by deeper psychological challenges like unresolved anxiety. Stellar Sleep uses psychology to help these people break the insomnia cycle.", "one_liner": "We help people with chronic insomnia sleep better, using psychology.", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1690919362, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare" ], "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/stellar-sleep", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/stellar-sleep.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/stellar-sleep", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/da6718234e74459d1a141e394578816bcde9baf0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 371831, "full_name": "George W", "title": "Founder", "founder_bio": "George's founder bio", "is_active": true, "linkedin_url": "https://linkedin.com/in/wang-george", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1f6d9518a27be5df1418ad9a8949a865e7b3cdb9.jpg" }, { "user_id": 371825, "full_name": "Edrei Chua", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://linkedin.com/in/edreichua", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/52bf5dbb29fe621d7dc7c46c5c8cdeddda4dd275.jpg" } ], "jobs": [], "news": [ { "title": "Stellar Sleep app gets initial funding to awaken root cause of chronic insomnia in users | TechCrunch", "url": "https://techcrunch.com/2024/02/06/stellar-sleep-app-chronic-insomnia/", "date": "Feb 06, 2024" }, { "title": "Slumber One wins state grant competition to help insomnia", "url": "https://www.bizjournals.com/boston/news/2022/06/28/slumber-one.html", "date": "Jun 28, 2022" } ], "launches": [ { "id": 73715, "title": "Stellar Sleep 💤 Break the insomnia cycle tonight", "tagline": "We help people break the insomnia cycle using psychology", "body": "**tl;dr: We built a mobile app that helps people with insomnia get better sleep using psychology**\n\n\\*\\*25 million Americans with chronic insomnia are getting inadequate and superficial care advice (e.g. cutting coffee, meditation etc.), when in reality, their sleep problems are often driven by deeper psychological challenges like unresolved anxiety. Stellar Sleep uses psychology to help these people break the insomnia cycle.\\*\\*\\\n**—**\n\nHi, we’re George and Edrei, the team behind Stellar Sleep\n\nGeorge was previously a manager at McKinsey, leading consulting teams with healthcare clients. His insomnia led to him quantifying his sleep for the last 7 years and making questionable life choices like wearing orange (blue-light blocking) goggles to evening social events.\n\nEdrei was previously an engineering lead at Google, leading software teams across health and AI. His chronic insomnia led to him spending hundreds of dollars on brain wave scans and sleep tech, and wasting hundreds of hours browsing HN in the middle of the night.\n\n# **So, why are we focusing on chronic insomnia? 🧐**\n\n![](https://lh5.googleusercontent.com/H3iRbRYdpmoTvv9sxln9JwrdkMJNYu0l9UYuzBn5SVfvYD-QXDZ5LQjlAB3YDaY0exooLN57uYoPqXwdV1SOhaB1TL7KTvcLuOpENaoxYmUq9mdv8Tv1tYhLCqtobIidFoJ4TtUAXYJh0gbKGqGp1w)\n\nAround 25 million Americans suffer from insomnia (can’t fall/stay asleep) for 3+ nights per week for 3 months or longer, which the medical community calls “chronic insomnia”. Unfortunately, people with chronic insomnia often receive inadequate care advice. They’re told to try cutting back on coffee, meditate more, or make their bedroom darker, when research shows that chronic insomnia is often rooted in deeper, psychological issues (e.g., financial anxiety, workplace stress…etc.).\n\nThe need for a solution is urgent. People with chronic insomnia are at a higher risk for mental health disorders (2x as likely), physical health issues (1.7x more likely to suffer from a heart attack), and decreased productivity in the workplace. A RAND study found that the economic cost of poor sleep in the U.S. was $411 billion a year, representing 2.3% of GDP. The situation has worsened since then, particularly with the increased stress and anxiety brought on by recent global events, and the shift to hybrid/remote work.\n\nHere’s how one of our customers, Victoria, describes chronic insomnia in her own words:\n\n> _I’ve had insomnia for about 5 years. I was at the point of desperation, willing to try anything. Insomnia feels very lonely. It’s 2am and your spouse is asleep. You’re very alone with your anxious thoughts. About the mortgage rates changing. About all the things you have to do tomorrow without any sleep. It feels like you’re trapped and alone._\n>\n> _After starting Stellar Sleep I’ve now started sleeping better for the first time in 5 years. I’ve gotten hope back that I can be normal. Most people who sleep well don’t worry about sleep. A good night’s sleep should just be normal._\n\n# **Stellar Sleep uses psychology to help chronic insomniacs get their lives back💤**\n\nStellar Sleep uses psychology to confront the real root causes of chronic insomnia. We start by understanding a person’s immediate sleep-related challenges and providing them with practical strategies for dealing with them. Then, we drill down on the underlying psychological drivers of a person’s chronic insomnia and create a personalized program to resolve those drivers one by one. \n\nThe first part of this process typically takes about three months, and the second part of this process can be a multi-year-long commitment. Participants spend 5-10 minutes per day completing modules in the Stellar Sleep app. \n\nOur product works. We have strong clinical data (measured by ISI) showing best-in-class efficacy and have a year-long clinical study running with Harvard Medical School / Brigham & Women’s Hospital paid for by the State of Massachusetts and the US Department of Commerce.\n\nWe publicly launched Stellar Sleep last August and reached $1 million in ARR (annual run rate) within just 9 months, proving how much of a “hair on fire” problem this is for chronic insomniacs. We hear from our users that they're exhausted from receiving generic, superficial solutions that don’t work. Now, they’ve finally found a product that treats their chronic sleep issues with the gravity and seriousness it warrants.\n\n![uploaded image](/media/?type=post&id=73715&key=user_uploads/371831/f29a1f49-a8f6-47c7-8b1b-60fa92486764)\n\n# **Our asks**\n\n* [Try out our chronic insomnia app](https://stellarsleep.com/?utm_source=launch&utm_campaign=launch-yc) if you have sleep issues\n* Share our website with anyone you know with sleep issues, and encourage them to take our quiz \n* Please share this post (many people with sleep issues don’t talk about it)\n* Connect us with benefits leaders at companies with 250+ employees and with regional health plans", "url": "https://www.ycombinator.com/launches/JAx-stellar-sleep-break-the-insomnia-cycle-tonight", "votes": 81, "created_at": "2023-08-02T16:22:13.477Z" } ] }, { "id": 28794, "name": "Ohmic Biosciences", "slug": "ohmic-biosciences", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b68cb6a90af9c37176d63232ab7f6372925388d.png", "website": "https://ohmicbiosciences.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Pests and pathogens cost the world hundreds of billions of dollars every year. Existing technologies like agrochemicals are no longer working. Ohmic Biosciences uses protein engineering to design resistance genes for crops that are robust to pathogen evolution.", "one_liner": "Genetically engineering plants for disease resistance.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Agriculture", "launched_at": 1689702500, "tags": [ "Synthetic Biology", "Biotech", "Climate", "Agriculture", "Genetic Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Industrials", "Agriculture" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ohmic-biosciences", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/ohmic-biosciences.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ohmic-biosciences", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b68cb6a90af9c37176d63232ab7f6372925388d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1293563, "full_name": "PJ Steiner", "title": "Founder", "founder_bio": "I'm a protein engineer, synthetic biologist, and computer scientist. I studied computer science at MIT (SB/MEng) and then synthetic biology at Cambridge (PhD) and UCSD (postdoc). After two years as a scientist at Bolt Threads engineering yeast for protein production, I moved to the University of Colorado Boulder to work on a DARPA project using protein engineering to turn plants into chemical biosensors. My co-founder Matt and I founded Ohmic to make plants resistant to disease.", "is_active": true, "linkedin_url": "https://linkedin.com/in/pjsteiner", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ffbbe4cdd117cdb5d1833d399a417f33612afa78.jpg" }, { "user_id": 1350610, "full_name": "Matthew Bedewitz", "title": "Founder", "founder_bio": "I'm a plant biochemist with experience in protein engineering, genetics and analytical chemistry. I studied Horticulture Science (BS), and then Plant Breeding, Genetics, and Biotechnology (PhD) at Michigan State where I characterized enzymes in tropane alkaloid production for nerve agent antidotes and stimulants (including cocaine). That work led me to a DARPA protein engineering project where I met my cofounder, PJ, and we decided to use our skills to tackle crop disease resistance.", "is_active": true, "linkedin_url": "https://linkedin.com/in/matthew-bedewitz-915848239", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8a7b8411e8a6c8a66af0dd9bada25c96e6f74894.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73380, "title": "Ohmic Biosciences: Genetically engineering disease-resistant plants", "tagline": "We use protein engineering to create resistance traits for any disease in any plant.", "body": "**TL;DR:** Ohmic Biosciences genetically engineers plants to make them resistant to disease. Our first product is a soybean resistant to a parasite that causes over $1.5B of yearly damage in the US alone.\n\n**The Problem**\n\nPlant diseases cost the world more than $200B every year. Climate change and trade globalization are accelerating the problem, but existing solutions are failing. Today, crop diseases are controlled in two ways:\n\nAgrochemicals are slow and expensive to commercialize. Once pathogens evolve resistance to them, they are useless. Many are being taken off the market and it is increasingly difficult to get new products approved.\n\nGenetic resistance traits are a better solution - no spraying - but are plagued by a basic tradeoff: they usually either work really well but are easy for pathogens to evolve around, or are robust to pathogen evolution but don't work so well.\n\nThis comes down to a basic limitation of plant breeding and biotechnology as practiced today: both amount to hoping the gene you want already exists in nature and embarking on a fishing expedition to find it. Sometimes that works, but there's no reason to believe that genes useful for industrial agriculture will have evolved naturally.\n\n**The Solution**\n\nOhmic Biosciences is taking a different approach. We are protein engineers. We know what traits we want; instead of hoping nature already made them, we're engineering them ourselves.\n\nPlant pathogens have a difficult job. To even start infecting a plant they need to breach the plant's tough cell wall and disable its innate immune system. They do all of this by secreting a whole suite of effector proteins that attack the plant in various ways. We engineer proteins that inhibit those effectors, effectively defanging plant diseases.\n\nWe're starting by focusing on soybean cyst nematode (SCN), a tiny parasitic worm that has completely infested the US and causes >$1.5B in yield loss every year. That number is probably an underestimate, because SCN is an insidious root parasite that rarely causes visible above-ground symptoms - just yield loss.\n\n![uploaded image](/media/?type=post&id=73380&key=user_uploads/1293563/79777d2d-a15c-4669-9d68-5cf2a36c8fcf)\n\n_Above: soybean cyst nematode infection on soybean roots._\n\n**About Us**\n\nWe met as postdocs at the University of Colorado Boulder where we worked together for 2.5 years on [**engineering plant hormone receptors**](https://www.nature.com/articles/s41587-022-01364-5) into biosensors. Before that, PJ worked in CS and synthetic biology and Matt worked in plant genetics and biochemistry.\n\n**Ask**\n\nPlease get in touch if you or anyone you know is interested in protein engineering for agriculture! Find us on LinkedIn [here.](https://www.linkedin.com/company/ohmic-biosciences/)", "url": "https://www.ycombinator.com/launches/J5Y-ohmic-biosciences-genetically-engineering-disease-resistant-plants", "votes": 43, "created_at": "2023-07-28T19:41:51.431Z" } ] }, { "id": 28795, "name": "Magic Loops", "slug": "magic-loops", "former_names": [ "ChatSeed" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/72461fd4d5fd3609cdf2cd37c5c97828c31ab516.png", "website": "https://magicloops.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Magic Loops are the fastest way to automate (almost) anything. By combining generative AI with code, we make it easy for anyone (yes, even non-programmers!) to setup repeatable tasks and automated workflows.\r\n \r\n- Want to use ChatGPT to classify new product features from a Close call? \r\n \r\n- Want to receive a text when someone purchases >$1000 from your Shopify store?\r\n \r\n- Want to replace your bespoke AWS Lambdas with self-repairing code? \r\n \r\nBuild your first Magic Loop today! ", "one_liner": "Program computers with natural language", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1687488006, "tags": [ "Generative AI", "Consumer", "Productivity", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/magic-loops", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/magic-loops.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/magicloops", "x_url": "https://twitter.com/magicloopsdev", "fb_url": "https://www.facebook.com/magicloopsdev", "cb_url": "https://www.crunchbase.com/organization/magic-loops", "github_url": "https://github.com/magicloops", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/72461fd4d5fd3609cdf2cd37c5c97828c31ab516.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/62/1694197743455-h0042gdd2vj-87617f122ca655b13be8286539cdf27f/410d45233333180cb2b2191f5a2d7bde.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022713Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=afd4d4b26ec7f121871e9dbb75485c32cb8c555cc14ea606702fe25c23b52ac8", "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ce782cd362af30800be119d64da5a5c4f7a24bc9.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 633171, "full_name": "Adam Williams", "title": "Founder", "founder_bio": "Vibe coding for the next 200 million programmers. Previously: Grew Kojo from Seed to Series C, millions in ARR, 1 to 20+ engineers. Created Long Game from scratch (off) to millions in AUM. Built weather data infrastructure for all iPhone and Android phones in the US. Wrote digital logic (FPGA) for two satellite missions (NASA) and a Mars rover (ESA/NASA).", "is_active": true, "linkedin_url": "https://linkedin.com/in/%F0%9F%8F%97-adam-williams-%F0%9F%9A%A7-0995a949", "x_url": "https://twitter.com/jumploops", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e60231728d1b4aad47a32f72eb48a7475dfa99b.jpg" } ], "jobs": [], "news": [ { "title": "Our favorite startups from YC’s Summer 2023 Demo Day, Day 2 | TechCrunch", "url": "https://techcrunch.com/2023/09/07/ycombinator-demo-day-two-summer-2023/", "date": "Sep 07, 2023" } ], "launches": [ { "id": 74297, "title": "Magic Loops - Easy automation with AI", "tagline": "Combine LLMs and code to create simple automations", "body": "Howdy! We’re Adam and Mihai from Magic Loops — a new way to program computers using generative AI.\n\n### **tl;dr**\n\nMagic Loops combine LLMs and code to make simple automations easy to build and run.\n\n### **🙈 The Problem**\n\nYou want to automate a repetitive task or workflow.\\\nToday, you’re likely: \n\n1. Attempting to use a **no-code/low-code** tool but struggling with **limitations**\n2. Trying to use **ChatGPT** but struggling with **numbers and repeatability**\n3. **Calling an engineer** because you’re in over your head\n\n### 🪄 **Magic Loops** ➰\n\nSimply describe your task and we’ll generate a loop that uses a combination of code and LLM “blocks” to handle your workflow.\n\nWe give you full control over the loop, allowing you to change and modify it until it fits your needs.\n\nYou can run the loop at set times or by sending an email or webhook. Each loop can utilize code, LLMs, integrations, and APIs. The output of each loop is a text message, email, or webhook.\n\nOnce you've tested your loop, hit publish and we’ll host it for you.\n\n![uploaded image](/media/?type=post&id=74297&key=user_uploads/633171/f484bd0f-3da3-46d3-ac2c-8102d794d722)\n\n### **What are people using Magic Loops for?**\n\n**Investors: Watching YC launches**\n\n* [YC S23 Watcher](https://magicloops.dev/loop/5f524d25-f213-4943-af57-244ead73c15f) will text you the latest YC launches\n\n**Can of Soup: Generating novel pictures**\n\n* [Daily Image Prompt](https://magicloops.dev/loop/4246b18f-f258-44bf-aa2f-145a5eac2703) uses LLMs to generate three meme-worthy prompts\n\n**Bland AI: Demoing your API-based product**\n\n* [Bland AI - Demo](https://magicloops.dev/loop/d8c1ba48-fa78-4599-8d0d-1d5ba8a35368) triggers an AI phone call whenever an email is received\n\n### **Our Ask**\n\n[Try out Magic Loops](https://magicloops.dev) and let your imagination run wild!\n\nWe've seen a variety of uses from simple stock watchers all the way to complex customer onboarding flows.\n\nIf you find a loop you can't yet build, [reach out](mailto:help@magicloops.dev) and **we'll build it with you**.\n\nWe're looking forward to seeing what you create!", "url": "https://www.ycombinator.com/launches/JKL-magic-loops-easy-automation-with-ai", "votes": 92, "created_at": "2023-08-22T14:08:18.348Z" } ] }, { "id": 28796, "name": "Sweetspot", "slug": "sweetspot", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe6baa1904091bdaa3920767037ba84111cedebf.png", "website": "https://www.sweetspot.so/", "all_locations": "New York City, NY, USA", "long_description": "Sweetspot is an all-in-one government sales platform, powered by AI. We help businesses find, manage, and respond to government opportunities.\r\n", "one_liner": "AI for Government Contracting.", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1689300101, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "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/sweetspot", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sweetspot.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sweetspothq/", "x_url": "https://twitter.com/SweetspotHQ", "fb_url": "https://www.facebook.com/sweetspot.so", "cb_url": "https://www.crunchbase.com/organization/sweetspot-6229", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe6baa1904091bdaa3920767037ba84111cedebf.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": 1284150, "full_name": "Sachin Subramanian", "title": "Founder", "founder_bio": "CEO @ Sweetspot. Go Suns ☄️", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sachinsubramanian/", "x_url": "https://twitter.com/sachsubra", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a94fe7248d03afa9e6b216daedcbe3b96f934917.jpg" }, { "user_id": 557251, "full_name": "Philip Kung", "title": "Founder", "founder_bio": "CTO @ Sweetspot. Previously founded Conduit Robotics, a startup that allowed truckers to \"remote control\" their vehicles.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/philipkung", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cf278b557440856230a6524b6ea0e2bbfdebcfb1.jpg" }, { "user_id": 1522054, "full_name": "Andrew Arkhipov", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9e202cbc6ca4c8a3c4e35227f88b3724641053f8.jpg" } ], "jobs": [ { "id": 70492, "title": "Backend/Data Engineer", "url": "https://www.ycombinator.com/companies/sweetspot/jobs/Sm1rZhR-backend-data-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$130K - $200K", "equity_range": "0.25% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "PostgreSQL", "Python", "Redis", "SQL", "Docker", "Data Modeling" ] }, { "id": 70493, "title": "Frontend/Full-stack Engineer", "url": "https://www.ycombinator.com/companies/sweetspot/jobs/6yUef6i-frontend-full-stack-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$130K - $200K", "equity_range": "0.25% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python", "React", "TypeScript", "Chatbots", "Design systems", "Next.js" ] } ], "news": [ { "title": "AI startup Sweetspot raises $2.2 million | Semafor", "url": "https://www.semafor.com/article/08/07/2024/ai-startup-sweetspot-raises-22-million", "date": "Aug 07, 2024" }, { "title": "An AI search engine for the U.S. government contract maze | Semafor", "url": "https://www.semafor.com/article/08/04/2023/an-ai-search-engine-for-the-us-government-contract-maze", "date": "Aug 04, 2023" } ], "launches": [ { "id": 92424, "title": "📝 Sweetspot AI Form Fill", "tagline": "Autonomous form completion for GovCon teams", "body": "# **Sweetspot AI Form Fill — Autonomous form completion for GovCon teams**\n\nLeverage AI to finish RFIs, PPQs, security questionnaires, vendor packets, and teaming agreements, so your capture & proposal teams can focus on winning.\n\n![uploaded image](/media/?type=post&id=92424&key=user_uploads/1284150/387d941f-5586-48ac-93c4-72297f4ba53e)\n\n### **TL;DR**\n\nSweetspot’s AI Form Fill is the first and only autonomous form-fill agent built for government contracting teams. Think of it as Cursor for forms: it finds every field (even unlabeled ones!) across _any_ document, then fills them with your validated company data and works with you to fill in the remaining gaps.\n\n![uploaded image](/media/?type=post&id=92424&key=user_uploads/1284150/3bbc2cef-b307-4a0c-8e52-f871c64ace8a)\n\n### **The Problem**\n\nGovCon BD teams spend shocking amounts of time re-typing boilerplate data into forms that all look different but ask for the same information:\n\n* 15-page RFIs that hide critical fields in footers\n* PPQs and security questionnaires where one missed checkbox triggers re-work\n* Vendor onboarding packets and teaming agreements that clog pipelines just when deadlines tighten\n\nManual entry steals hours from color reviews, strategy sessions, and pricing. Worse, each agency’s format changes just enough that no template sticks, and existing PDF tools don’t understand compliance nuance.\n\n![uploaded image](/media/?type=post&id=92424&key=user_uploads/1284150/d0b6afd9-19d3-46cc-92b6-aac5b9cc04ed)\n\n### **Our solution**\n\n**Sweetspot Form Fill** replaces the copy-paste slog with an AI copilot purpose-built for the public sector:\n\n1. **Autonomous field detection**\\\n Our Form Fill agents scan the entire form, including headers, tables, annexes, and odd footnotes, to surface every required field, labeled or not.\n2. **Live, accurate population**\\\n We pull from your company data library and reflect all changes in realtime in the browser. No context switching or separate PDF tools needed.\n3. **Ask-once memory**\\\n If a field is unclear, Form Fill prompts you, stores the answer, and re-uses it automatically on future submissions. This means zero hallucinations and a full audit trail.\n4. **Built-in signatures & edits**\\\n Add e-signatures, tweak language, and manually add or adjust any field you need. One tab from first click to final PDF.\n5. **Rapid-fire templates**\\\n For truly repeatable workflows such as recurring state and local government bids, save a template and cut completion time to seconds.\n\n![uploaded image](/media/?type=post&id=92424&key=user_uploads/1284150/f84d23f3-5679-4ee6-9f78-72d8a78e06bf)\n\n### **How It Works Under the Hood**\n\n* **Semantic parsing engine** reads form structure, not just keywords, so Section M or SF33 blocks are never missed. It even works on poorly structured PDFs that don’t use annotations or native fields.\n* **Domain-trained models** tuned on hundreds of thousands of GovCon documents ensure terminology accuracy (CAGE codes, NAICS, JCP, export controls, etc.).\n* **DoD-Compliant architecture** means all of your data, answers, and content are stored securely.\n\n### **Traction & Early Results**\n\n* **12–18 hours saved per team per week** during beta across mid-market federal and SLED contractors.\n* **3× faster package turnaround**, giving users extra days for color reviews, price sharpening, and all the other important tasks that go into winning their next contract.\n* **Zero compliance rejections** to date; all of our users have been extremely happy with the results and have adopted Sweetspot Form Fill directly into their every day business processes.\n\n### **Try it out**\n\nSweetspot already powers proposal teams at Oshkosh, Vannevar Labs, Strider, and other public-sector innovators.\n\nReady to watch forms complete themselves?\n\n* **Book a demo:** [calendly.com/sachin-sweetspot/30min](http://calendly.com/sachin-sweetspot/30min%EF%BF%BC%EF%BF%BC)", "url": "https://www.ycombinator.com/launches/O2i-sweetspot-ai-form-fill", "votes": 26, "created_at": "2025-07-24T18:57:40.068Z" }, { "id": 82512, "title": "Sweetspot - Introducing State, Local, and Education contracts", "tagline": "Leverage AI to win state, local, and education contracts", "body": "### \n\n![uploaded image](/media/?type=post&id=82512&key=user_uploads/1284150/4183ece5-910d-4a17-a284-f916476a30e1)\n\n### **TL;DR**\n\n[Sweetspot](https://www.sweetspot.so/) has added **200,000+** state, local, and education (SLED) contracts that span **17,000+ agencies** across **47 states**.\n\n### **The Problem**\n\nCurrently, SLED contract opportunities are spread out across thousands of different city, state, municipality, and county websites. Although some tools have made progress in aggregating this data, the bid-matching process remains suboptimal. These tools often rely solely on the brief descriptions provided, rather than analyzing the actual files and documents uploaded by the government.\n\nThe problem is that these descriptions are frequently missing important details or are too vague about the contract's specific requirements. As a result, small businesses are forced to manually review each opportunity's documentation to determine if it's a good fit for them. After conducting hundreds of market research calls, we reached the conclusion that this process is too time-consuming and inefficient.\n\nHere’s an example of a contract from Maryland asking for a Java Engineer with little to no information in the description. Since it doesn’t even mention the word software once, it is nearly impossible to discover this opportunity easily:\n\n![uploaded image](/media/?type=post&id=82512&key=user_uploads/1284150/53e49f39-3da3-4c53-b01f-a79a2ee451b4)\n\n### **Our Solution**\n\n[Sweetspot](https://www.sweetspot.so/) has leveraged AI to track and aggregate opportunity data across hundreds of disparate SLED data sources, with our coverage growing daily.\n\nOur AI doesn’t simply match keywords. It performs deep semantic analysis on over 20 billion tokens from every opportunity’s associated files and documents.\n\nUsing this information, it then generates a detail-rich description based on these files, and highlights exactly where its relevant to your search query along with providing you the file matches.\n\nFor example, here’s the same Maryland contract that was previously shown. You can clearly see how our AI was able to enrich this search result and present it as a viable opportunity to go after:\n\n![uploaded image](/media/?type=post&id=82512&key=user_uploads/1284150/7d6ed5ca-1504-4b1c-8fab-688876a284e4)\n\nOnce you’ve found a SLED contract you’d like to pursue, you can then use existing Sweetspot tools to analyze the RFx, estimate your probability of winning, assign tasks to teammates, and draft a proposal response.\n\n### **Try Out Sweetspot**\n\nSweetspot is already used by public sector teams at startups like Flexport, Groq, Vannevar Labs, and Strider.\n\n* Sign up for a free account at: [console.sweetspotgov.com](http://console.sweetspotgov.com/)\n* Book a demo at: [https://calendly.com/sachin-sweetspot/30min](https://calendly.com/sachin-sweetspot/30min?month=2024-04)", "url": "https://www.ycombinator.com/launches/LSq-sweetspot-introducing-state-local-and-education-contracts", "votes": 18, "created_at": "2024-07-29T03:51:05.554Z" }, { "id": 79974, "title": "Sweetspot - AI for government contracting", "tagline": "All-in-one government sales platform, powered by AI.", "body": "### **TL;DR**\n\n[Sweetspot](https://www.sweetspot.so/) is an end-to-end AI-powered solution that helps users find, manage, and respond to government opportunities.\n\n### **The Problem**\n\nNavigating the complex landscape of government contracting by relying on existing tools is difficult. Both public and private sector solutions have disorganized user interfaces and lag in adopting technological advancements, contributing to numerous inefficiencies.\n\nBeyond user experience issues, there's a significant gap in the holistic support these tools provide. Many focus exclusively on specific parts of the contracting journey — such as search functionalities, proposal writing, or business intelligence — without addressing the need for a comprehensive solution. This siloed approach forces businesses to stitch together a patchwork of tools to navigate the federal contracting space, inadvertently increasing complexity and costs.\n\n### **Our Solution**\n\nSweetspot is an all-in-one platform that streamlines the entire government contracting process. Our solution brings together discovery, management, compliance, and proposal drafting — eliminating the need for multiple disjointed government contracting softwares. To achieve this, we’ve released four new products.\n\n#### **1\\. AI-Powered Search Engine**\n\nSweetspot leverages AI-powered search to ensure that users can discover opportunities that align with their capabilities and interests, even if the exact keywords do not match. This approach significantly reduces the time and effort required to find suitable government opportunities.\n\n_Here’s an example of our search engine easily surfacing construction projects that are on the East Coast:_\n\n![uploaded image](/media/?type=post&id=79974&key=user_uploads/1284150/ca6a4bac-ff02-42e5-b7a0-7fff5628a738)\n\n#### **2\\. Opportunity Chat**\n\nOpportunity Chat uses AI to interpret and answer questions directly from the content of solicitation documents. This allows users to gain insights into critical aspects of solicitations, such as evaluation criteria, pricing tables, and wage rates — facilitating faster and more informed bid/no-bid decisions.\n\n_Here’s an example of Sweetspot AI quickly summarizing a pricing table:_\n\n![uploaded image](/media/?type=post&id=79974&key=user_uploads/1284150/d394399e-d383-4f64-8583-43efa49117bb)\n\n#### **3\\. Pursuit Management**\n\nPursuit Management facilitates seamless collaboration within teams working on contract proposals. The tool allows users to create and assign tasks, comment on progress, and ensures that no internal and external deadlines unexpectedly creep up.\n\n![uploaded image](/media/?type=post&id=79974&key=user_uploads/1284150/04dc76f1-6f7c-498c-a1f2-b5bc80af158a)\n\n#### **4\\. Proposal Copilot**\n\nSweetspot's Proposal Copilot leverages AI to generate compliance matrices and draft competitive proposal responses by indexing user-uploaded information. This tool helps users stay compliant with requirements and reduces the time and effort traditionally required in proposal writing.\n\n![uploaded image](/media/?type=post&id=79974&key=user_uploads/1284150/f19df88f-e13d-4b08-a029-fddfff341a53)\n\n### **Our Team**\n\nSweetspot is built by a team of highly technical cofounders who have worked at companies such as Coinbase, Amazon, Meta, Nuro, Akuna Capital, and Chicago Trading Company. In a space like government contracting that has stuck with the status quo for decades, we bring the tech-forwardness that’s needed to successfully upend the industry.\n\n![uploaded image](/media/?type=post&id=79974&key=user_uploads/1284150/0da6cee3-680c-4c9a-b058-dd3393fcec31)\n\n### **Try Out Sweetspot**\n\n* Sign up for a free account at: [console.sweetspotgov.com](http://console.sweetspotgov.com)\n* Book a demo at: [https://calendly.com/sachin-sweetspot/30min](https://calendly.com/sachin-sweetspot/30min?month=2024-04)", "url": "https://www.ycombinator.com/launches/Knu-sweetspot-ai-for-government-contracting", "votes": 18, "created_at": "2024-04-06T04:49:38.202Z" }, { "id": 73068, "title": "Sweetspot | AI-powered search engine for government contracts 🔍", "tagline": "Sweetspot connects your business to all available and relevant government contracts in just seconds.", "body": "### **📚 TL;DR**\n\n[**Sweetspot**](https://www.sweetspot.so) is an AI-powered search engine for businesses that bid on government contracts. Businesses can leverage Sweetspot to find relevant contracts in just seconds, instead of spending hours digging through [SAM.gov](http://SAM.gov).\n\n### **👬 The Team**\n\nHey everyone! We’re Sachin and Philip, the team building Sweetspot. Philip and I have known each other since freshman year of college. Since then, we’ve competed in a number of hackathons and even worked together at [Coinbase](https://www.coinbase.com/) prior to embarking on our startup journey! We came to work on this idea after we talked to our friend working at a real estate firm. His job was to find relevant federal real-estate contracts all day and he hated it due to the poor searching experience. Then, a lightbulb went off in our heads.\n\n![uploaded image](/media/?type=post&id=73068&key=user_uploads/1284150/5821fa8f-b9d4-4029-a4a4-937c2f8538ad)\n\n### **😵‍💫 The Problem**\n\nFinding government contracts on [SAM.gov](http://SAM.gov) is a nightmare, especially for small businesses. The current system is cluttered, hard to navigate, and relies heavily on keyword search, which often leads to irrelevant results - discouraging small businesses looking for contract opportunities. The clunky UI adds another layer of complexity, creating an overall frustrating experience.\n\nImagine you’re part of a landscaping company just getting into contract bidding. Just look at how poor a simple search for “lawn care” contracts on [SAM.gov](http://SAM.gov) is:\n\n![uploaded image](/media/?type=post&id=73068&key=user_uploads/1284150/bc3d52dd-a4d7-49a5-844b-f7fece3de702)\n\n### **💡 The Solution**\n\nSweetspot utilizes a combination of semantic and lexical search to streamline the process of searching for government contracts. Businesses can now find various relevant opportunities with just **one query**, eliminating the need for multiple keyword searches to do hours-long research.\n\nImagine you’re part of an upstart landscaping company (again). Look how many more relevant contracts you find in under a second for querying “lawn care”using Sweetspot:\n\n![uploaded image](/media/?type=post&id=73068&key=user_uploads/1284150/6aba66a2-7216-490f-ae57-70097b14ec01)\n\n### **🔮 The Future**\n\n* Automating queries so you get alerts every time a new contract drops\n* Expanding our dataset to include state and local contracts\n* Adding filters for more granular results\n* Adding lists to better manage your contracts you want to bid on\n* Business Intelligence and Analytics for contracts\n* AI proposal writing to help you draft responses to RFPs\n\n![uploaded image](/media/?type=post&id=73068&key=user_uploads/1284150/6114ea0d-5c67-4678-b531-c951ad7cb34b)\n\n![uploaded image](/media/?type=post&id=73068&key=user_uploads/1284150/c975695a-382d-4890-828c-6fb3415694f4)\n\n### **🙏 Our Asks**\n\n* Drop us a follow on [**LinkedIn**](https://www.linkedin.com/company/sweetspothq/) & [**Twitter**](https://twitter.com/SweetspotHQ)\n* Introductions to anybody with experience bidding on government contracts.\n* If you’re in the government contracting space or know any friends who may be interested, check out our [**website**](https://www.sweetspot.so/) and book a demo [**here.**](https://calendly.com/sachin-sweetspot/30min)", "url": "https://www.ycombinator.com/launches/J0W-sweetspot-ai-powered-search-engine-for-government-contracts", "votes": 45, "created_at": "2023-07-14T05:14:49.996Z" } ] }, { "id": 28799, "name": "Remy", "slug": "remy", "former_names": [ "Remy Security" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/93b0f6a6d9697c73c56e4ffd40933940d124fb99.png", "website": "https://www.startremy.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Remy automates insurance-related tasks for practices, starting with phone calls to verify patient benefits and check on claims.", "one_liner": "Making it simpler for medical clinics to work with insurance", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare Services", "launched_at": 1687066070, "tags": [ "Generative AI", "Health Insurance", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "Healthcare", "Healthcare Services" ], "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/remy", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/remy.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/remysec", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/remy-security", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/93b0f6a6d9697c73c56e4ffd40933940d124fb99.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": 1306652, "full_name": "Sten Sjöberg", "title": "Founder", "founder_bio": "I'm co-founder and CEO at Remy Security. Before Remy, I was a security automation PM at Microsoft's security team. My team owned the product security review process including secure development lifecycle assessments, design reviews and penetration testing. Before Microsoft, I took all the security classes they offered to Princeton CS undergrads and published research in the Symposium on Usable Privacy and Security (SOUPS).", "is_active": false, "linkedin_url": "https://linkedin.com/in/stensjoberg", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/072e01c0b066b39f10c1f63b74e0ba49a33c2724.jpg" }, { "user_id": 1360703, "full_name": "Kevin Kim", "title": "Founder", "founder_bio": "Founder @ Remy Security. Previously SWE at ExtraHop, Rice CS.", "is_active": false, "linkedin_url": "https://linkedin.com/in/kev3522", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53399b4ef8d53a634b60b63ae8e619ad49d49c6b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 72542, "title": "Remy Security - AI-powered security design reviews", "tagline": "Reduce the cost and effort of proactively securing product.", "body": "Hi everyone! We’re [Sten](https://www.linkedin.com/in/stensjoberg/) and [Kevin](https://www.linkedin.com/in/minhwan/), founders of [Remy Security](https://www.remysec.com).\n\n**Remy helps security teams conduct security design reviews more quickly and effectively.** Using LLMs to analyze the design documents, Remy generates targeted insights and questions to raise to the authors.\n\n### Problem\n\nSecurity design reviews are essential during the software development cycle as they mitigate risks before they become problems down the line. It’s more expensive to address breaches than it is to look for potential weaknesses at design time.\n\n**It’s difficult and expensive to review designs.** The types of threats that the reviewer must consider are endless, and it’s easy to miss key risk areas even for experts. Security team and engineering team members must meet in order to discuss the design’s context and the risks that need to be addressed. Such meetings are expensive, time-consuming, and often disorganized.\n\n**Security teams are understaffed.** A 1:60 ratio is common for headcount between security and engineering staff. With such a skew, security teams often struggle to keep up with requests, forcing them to skip reviews or delay the development lifecycle.\n\n### Solution\n\nRemy finds designs that the security team should be aware of and makes a first pass at reviewing them using LLMs. It hands off its assessment to members of the security team, who make the final judgements on what questions/comments need to be raised in the document.\n\nUsers can view a list of designs to review, view their risk levels, and prioritize the most important ones to work on.\n\n![uploaded image](/media/?type=post&id=72542&key=user_uploads/1360703/5de6450e-ab7f-4fab-ae7f-8c1e9816da45)\n\nFor each document, Remy generates questions and feedback for you to send to the authors. Leveraging LLMs, Remy provides targeted insights into the specific risks of each design.\n\n![uploaded image](/media/?type=post&id=72542&key=user_uploads/1360703/767b3d20-1fb2-4a06-84e0-8c60a0f7aeac)\n\n![uploaded image](/media/?type=post&id=72542&key=user_uploads/1360703/d13cf468-9a97-446b-83e3-8d3aa3a4a254)\n\n### Asks\n\n* Do you work with security reviews? [Get in touch and let us know how we can help](https://www.notion.so/9d05093eec4642b7a433edad066b35ba?pvs=21) or [sign up for early access](https://remysec.com/early-access)!\n* Know someone who does security reviews? Please share this launch with them!", "url": "https://www.ycombinator.com/launches/Is2-remy-security-ai-powered-security-design-reviews", "votes": 30, "created_at": "2023-06-26T15:44:30.053Z" } ] }, { "id": 28802, "name": "Sohar Health", "slug": "sohar-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9e3f7c771362aee962754af2fd00c6281c92c7b2.png", "website": "https://www.soharhealth.com", "all_locations": "New York City, NY, USA; Remote", "long_description": "Sohar Health is an AI-driven front-end RCM solution that transforms insurance verification processes for healthcare providers, enabling faster patient conversions and reducing administrative workloads. With a 95% automation rate, our API-first platform seamlessly integrates into existing workflows to provide real-time claim accuracy and eligibility checks. \r\nKey performance metrics showcase the power of our technology: Median latency of just 6 seconds, ensuring real-time eligibility; over 90% of checks returned within 30 seconds for increased patient conversion; 96% accuracy in identifying and verifying benefits details; Industry-leading 99% accuracy for eligibility determination; >90% carve-out detection rate, mitigating surprise billing risks; a 60% success rate with our Insurance Discovery API, helping identify coverage for self-pay patients.\r\n\r\nOur customers include outpatient clinics, specialty practices, and digital health platforms looking to streamline front-end claim management. By reducing errors and maximizing clean claim submissions, Sohar Health empowers healthcare organizations to convert and retain more patients, reduce operating costs, and increase their top-line revenue.", "one_liner": "AI-powered insurance verification to boost patient conversion.", "team_size": 8, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1688557144, "tags": [ "Health Tech", "Digital Health", "API", "Data Science", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "Healthcare", "Healthcare IT" ], "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": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "MEET THE BRAIN & THE HEART OF SOHAR HEALTHSohar Health is the marriage of an engineer’s problem-solving brain and a physician’s healing heart, connecting healthcare providers & payers in a more integrated and centralized way.LUCAS GORDONEx-CTO & CISO of Quit Genius (YC W18)Most recently CTO of Quit Genius, the world’s leading digital clinic for substance addictions, Lucas is uniquely positioned to solve benefits integration problems using all he’s learned along his career journey. He’s one of a handful of people in this market who’s experienced firsthand the pain caused by this problem, and the value of solving it. Lucas holds an MSc in Computer Science from the University of London. He’s designed and built systems to integrate with 100+ employers, including integrations with Evernorth and a Fortune 10 customer. At Quit Genius, he also assumed the role of Chief Information Security Officer, leading the company through SOC-2 compliance audits, achieving HITRUST certification, and attended the Y Combinator program in 2018–helping secure over $80M investment funding from seed to Series-B. It was there he met his co-founder, and their aligned passion for healthcare and technology, combined with their deep knowledge of inherent pain points, sparked the idea that became Sohar Health.DR. ASHISH (ASH) MANDAVIAMedical Doctor & Digital Health InnovatorA former National Healthcare System doctor in the UK, Ash was inspired to jump into the world of startups seven years ago, initially as a product manager, using his clinical knowledge to support a team of engineers to create and build a piece of triage software for ERs in the UK. He moved on to a medical education technology company as employee one and helped scale the organization as product and services director. There, he found a love for the commercial side and moved into business development.This led Ash to taking on the role as EMEA Commercial Director of Quit Genius (YC W18), where he led a team to deliver commercial B2B sales, client success, and partnerships with large employers, private healthcare insurers, and public health systems. It was there he discovered inherent pain points related to integrating with these types of payers, slowing access for people getting the help they need.Most recently, Ash was a strategic consultant  at Simon Kucher and Partners, focusing on market access and reimbursement for Digital Health solutions across the UK, Europe, and the US." }, { "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?", "answer": "The ethos and ambition towards growth and becoming a $1b+ company at Quit Genius was a strong motivator to take Sohar Health through the YC accelerator program. The company has accelerated by 12 months in a 10 week period and this is mainly due to the strong guidance from our group partners and accountability that we have shown to our peers and colleagues. We have developed significant traction among customers and our product is loved by our customers. YC has pushed us to become the most accurate eligibility verification tool in the behavioral health market and we now run upwards of 60,000 eligibility checks per month. The fundraising process has moved faster than our initial expectations and we feel that the feedback and support given prior to the raise has allowed us to enter those conversations with more confidence and purpose. " }, { "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?", "answer": "From in-person events across the bay area to the founder matching program, we have managed to embed ourselves in the YC community and learn from this amazing network of founders. As we complete our Seed round, we hope to follow the guidance laid out in the post-batch manual and Series A fundraising guide to continue our growth trajectory and our journey towards becoming a unicorn in the health tech space." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "Lucas and I caught up at the start of 2023 when he had exited Quit Genius (YC W18) and I was on paternity leave from my strategy consulting role. We had discussed this burning platform issue on several occasion and recognized that we were in a unique position to solve it. We initially focused on employer eligibility verification for digital health companies, but quickly became aware, through customer discovery, of an even greater challenge to tackle in Real Time Eligibility (RTE) and Coverage of Benefits (COB) determination in the behavioral health space. This was an inflection point and gave us the confidence to pursue a pre-seed round, led by Concept Ventures and allowed us to build our eligibility verification tool and automated AI coding feature. We gained further proof points of the value of our product with strong initial customer traction, booking $118K ARR in the past two months." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "One of the biggest reasons behavioral health companies can’t grow faster is that 11% of every patient get denied for insurance reimbursement which directly hits revenue, employee cost and marketing cost. A large proportion of these claims denials are related to eligibility inaccuracies. With our 99% accurate eligibility checker, we reduce these denials to 2%.To determine a patient’s eligibility for a behavioral health service, you could use an existing electronic checker or amass a manual administrative team. Standard automated eligibility checks in the market can only achieve a 50 - 60% accuracy level for mental and behavioral health. The reason these vendors don’t work is that they do not take account of payer carve outs - when insurance companies carve out behavioral health coverage to third party insurers.With our deep understanding of the complex integrations within the payer ecosystem, we can get our automated accuracy check up to 99% and essentially significantly reduce the chance that a patient’s claim will be denied by their insurer." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "We believe in patients accessing healthcare without limits.What if providers were free from the barriers & burdens that waste money and time, and instead could focus on the things that help patients regain and maintain their health? What if signing up for appointments with service providers were easier to manage and integrate? What if there was an easy, cost-effective way to simplify providers’ operations? What if providers had more time to deliver excellent care and weren’t focusing on how to work with insurers? Sohar Health is the marriage of an engineer’s problem-solving brain and a physician’s healing heart, connecting healthcare providers & payers in a more integrated and centralized way.\\We’ve felt the devastating effects of ineffective healthcare on a very personal level, and we have a focused vision of getting better care to more people, quickly and seamlessly. What if clinical services, delivered in bricks and mortar practices or remotely, were able to be the lifeline of hope they were intended to be for millions of patients across the US? Smoother integration.Fewer barriers.Less waste.Improved health.Greater productivity.Effortless connection between payers & providers.What if?It’s time to fully connect and integrate via Sohar’s clearing house for the modern healthcare system" } ], "url": "https://www.ycombinator.com/companies/sohar-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sohar-health.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sohar-health/", "x_url": "https://twitter.com/soharhealth", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/sohar-health", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9e3f7c771362aee962754af2fd00c6281c92c7b2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7c448092ce5ceb82048219f074b738af8df8f2dc.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1376962, "full_name": "Dr Ashish Mandavia MD", "title": "Founder", "founder_bio": "I am a health-tech entrepreneur, with a clinical background, and the CEO at Sohar Health, automating insurance eligibility verifications. With 8+ years of combined experience in health-related startups, strategy consulting, and clinical practice, I have a unique perspective and skill set to drive innovation and growth in the digital health and technology space across EMEA and the US.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ashishmandavia", "x_url": "https://twitter.com/ash_soharhealth", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/638f520c1d51225e78cedb02ddb093362d08c0eb.jpg" }, { "user_id": 682456, "full_name": "Lucas Gordon", "title": "Founder", "founder_bio": "CTO and cofounder of Sohar Health (S23)", "is_active": true, "linkedin_url": "https://linkedin.com/in/lucas-gordon-48ba6439", "x_url": "https://twitter.com/lucasjgordon", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/95a13107cd71fae4f1999fb40052e32082acee12.jpg" } ], "jobs": [], "news": [ { "title": "Zocdoc acquires health tech company Sohar Health for automated benefits eligibility checks", "url": "https://www.fiercehealthcare.com/ai-and-machine-learning/zodoc-acquires-health-tech-company-sohar-health-automated-benefits", "date": "Oct 14, 2026" } ], "launches": [ { "id": 72772, "title": "🧠 Sohar Health: AI-powered eligibility checks, VoBs and insurance discovery for behavioral health", "tagline": "Unleash your behavioral health company's potential with targeted eligibility verification, and AI-powered Verification of Benefits (VoB) to drive revenue from health payers.", "body": "### \n\n![uploaded image](/media/?type=post&id=72772&key=user_uploads/1376962/82bc99d7-9218-4ecd-b405-2aad0c12fbd7)\n\n### ⚡**TL;DR**\n\nBehavioral health providers are investing significant resources into expensive manual operations teams to determine if patients are eligible for care, in-network, based on their payer contracts, and determine the patient’s responsibility towards their healthcare reimbursement. Enter Sohar Health. Our API-based platform streamlines insurance eligibility verification and offers AI-powered Verification of Benefits (VoB) and insurance discovery, automating manual workflows, increasing patient intake, and generating more revenue. Experience the power of seamless integration and unleash the full potential of your behavioral health company with Sohar Health.\n\n### **🤯 The problem**\n\nImproving front end RCM (revenue cycle management) accuracy is crucial as 85% of related-denied claims (worth $40 billion) are preventable. However, determining the eligibility, network status, and pricing transparency for patients is a challenge due to complex relationships between payers and the limited data exchange standards in healthcare IT ecosystem. These exchanges are costly, time-consuming, and divert engineering resources, hindering product development. Delaying or skipping integrations leads to revenue loss and increased manual efforts for RCM operations teams, creating a significant barrier for behavioral health companies in a rapidly growing industry, valued at $280 billion in 2020.\n\n![uploaded image](/media/?type=post&id=72772&key=user_uploads/1376962/008d7770-25e8-44a6-9f88-883c5470b9c1)\n\n### **🧠 The Solution**\n\nSimilar to Stripe (YC09) and Plaid, Sohar Health empowers developers by providing direct integrations to payers. Our API-based platform offers three key features: targeted insurance eligibility determination, accurate network status, and AI-powered Verification of Benefits (VoB). By leveraging our services, behavioral health providers can:\n\n1. Unlock up to 25% additional revenue through improved front end RCM accuracy\n2. Find more eligible patient and minimize churn or attrition \n3. Halve the time spent on manual operations by intake or RCM teams\n\n### **👋 Our Backstory**\n\nAt Pelago (formerly, Quit Genius W18), the leading digital clinic for substance addictions, Ash and Lucas joined forces. Ash is an MD, with a background in digital health, hospital administration, and Health IT strategy consulting. As CTO and employee one at Pelago, Lucas possesses unparalleled expertise in resolving behavioral health integration challenges. With a track record of successfully integrating with 100+ employers, including major players like Evernorth and a Fortune 10 customer, Lucas's firsthand experience and Y Combinator background have been instrumental in securing over $80M in investment funding from seed to Series-B.\n\n**Our ask**\n\nIntroduce us to **behavioral health providers** (digital or hybrid) in your network. [Click here](mailto:hello@soharhealth.com?subject=Connecting%20to%20Ash%20and%20Lucas%20at%20Sohar%20Health)\n\nConnect us to your health plan or payers (e.g. Humana, Cigna, Aetna) that you’re working with. [Click here](mailto:hello@soharhealth.com?subject=Connecting%20to%20Ash%20and%20Lucas%20at%20Sohar%20Health)\n\n**Interested in hearing more?** Feel free to book a meeting [here](https://calendly.com/d/z7j-8n2-w2v/30mins-meeting-with-sohar-health)\n\n![uploaded image](/media/?type=post&id=72772&key=user_uploads/1376962/95f7f9e8-53b0-4bd6-9bd1-750d07fb0561)\n\n", "url": "https://www.ycombinator.com/launches/Ivk-sohar-health-ai-powered-eligibility-checks-vobs-and-insurance-discovery-for-behavioral-health", "votes": 20, "created_at": "2023-07-05T14:57:13.166Z" } ] }, { "id": 28804, "name": "Bland AI", "slug": "bland-ai", "former_names": [ "Intelliga Health", "Intellig", "Intelliga", "Intelliga Voice" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ffd25772d0582e8800926759bd81a08cc8effb2.png", "website": "https://bland.com", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "The enterprise platform for AI phone calls", "team_size": 65, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1687738851, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/bland-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/bland-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/96359660/", "x_url": "https://x.com/usebland", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ffd25772d0582e8800926759bd81a08cc8effb2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1314105, "full_name": "Isaiah Granet", "title": "Founder", "founder_bio": "building things that talk back. \n\nno more waiting on hold, no more phone trees. \n\nthe future is bland.", "is_active": true, "linkedin_url": "https://linkedin.com/in/isaiah-n-granet", "x_url": "https://twitter.com/zaygranet", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5117c76167fa752c1755ae324a4653c493d32dd7.jpg" }, { "user_id": 1312013, "full_name": "Sobhan Nejad", "title": "Founder", "founder_bio": "Co-founder of Bland AI. Building the enterprise platform for AI phone calling.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sobhan-nejad-796129133", "x_url": "https://twitter.com/sobhan_nejad", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/82c3055a61cb54b193318e4a9bc38172e61b5abf.jpg" } ], "jobs": [ { "id": 68953, "title": "Support Engineer", "url": "https://www.ycombinator.com/companies/bland-ai/jobs/AInt422-support-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$140K - $170K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 68954, "title": "AI / ML Engineer", "url": "https://www.ycombinator.com/companies/bland-ai/jobs/sKOsJDQ-ai-ml-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$140K - $220K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 83033, "title": "Full Stack Engineer", "url": "https://www.ycombinator.com/companies/bland-ai/jobs/gnjM27L-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Node.js", "PostgreSQL", "React", "TypeScript" ] } ], "news": [ { "title": "Exclusive: Voice AI startup Bland raises $50 million after being rejected by 180 investors | Fortune", "url": "https://fortune.com/2026/06/16/voice-ai-bland-50-million-after-being-rejected-by-180-investors/", "date": "Jun 16, 2026" } ], "launches": [ { "id": 83557, "title": "Bland AI: The enterprise platform for AI phone calls", "tagline": "Build, test, and scale AI phone agents, and integrate with our API.", "body": "### **TL;DR:**\n\n* 13\\.5 billion phone calls are made every single day. Hundreds of millions of those occur in call centers.\n* The call center economy is a >$30 billion industry that is growing >10% year over year.\n* Our customers use Bland to build AI phone agents that handle the bulk of their call volume. Whether these calls are for customer support, sales, or appointment setting, Bland makes these calls cheap and efficient.\n\n### **The Problem**\n\nMore than half of the population prefers talking on the phone with businesses instead of email and chat. The average cost per call for US-based companies is somewhere between $3.00 and $5.00. Enterprises need call centers– but they are impractical to run and difficult to affordably staff. \n\nCall center jobs have some of the highest turnover in the world. They are grueling, don’t pay well, and highly repetitive. This means:\n\n* High cost for training, onboarding, and recruiting\n* Agents that don’t have the context or education to handle moderately complex calls\n\n**These calls are the backbone of how enterprises interact with their customers. We’ve all been stuck on hold for hours, transferred through dozens of different organizations to get to the right supervisor, all to waste the bulk of a day fixing a simple problem.**  Customers hate this, get exasperated and angry, and the call center worker, two weeks into the job, has to deal with a rightfully frustrated customer. The business loses trust with the customer and has no real way to build a better process.\n\n### **Solution**\n\nUsing Bland, companies build AI phone agents that are hyper-educated, have strict guardrails, and integrate into every part of their tech stack. **By building a true end-to-end infrastructure, these agents have Enterprise-grade stability, sub-1 second latency, and the ability to infinitely scale. Companies build the agent, integrate it into their CRMs and databases, and expand the use case whenever they need to**.\n\n**To negate hallucinations** we’ve built out our own programming language called _Conversational Pathways_, which allows you to split prompts into unique nodes.\n\n**For best-in-class latency and security,** we built and hosted our own TTS, Inference, and Transcription models.\n\n**For observability,** we provide full transparency into what’s happening during every call, from real-time logs to post-call analysis.\n\nWe’re trusted by Sears, [Better.com](http://Better.com), and backed by investors like Scale Partners and Jeff Lawson to change the way enterprises interact with their customers forever.\n\n", "url": "https://www.ycombinator.com/launches/Ljh-bland-ai-the-enterprise-platform-for-ai-phone-calls", "votes": 25, "created_at": "2024-08-28T20:35:23.871Z" }, { "id": 72612, "title": "Intelliga Health - Automating insurance workflows for medical practices", "tagline": "Helping patients get the treatments they need.", "body": "**TLDR**; At Intelliga Health, we use AI to streamline insurance workflows for medical practices. We integrate seamlessly with fax machines, digitize and organize inbound insurance communication, and write appeals back to insurance.\n\n### **Problem**\n\nManual workflows associated with running medical practices - like organizing faxes, scanning files, and dealing with insurance - distract doctors from the most important part of their days, caring for their patients.\n\nPrior Authorization, for example, costs an estimated 16 hours each week, while causing delays and sometimes denials to patients’ treatments.\n\n### **Solution**\n\nWe’re developing an AI-powered system to automate back-office operations for medical practices. Our first product, Appeal Suite, helps practices organize inbound faxes and win more prior authorization appeals. Try our public demo [here](https://appeals.intelligahealth.com/)!\n\n### **Product Snapshot**\n\nAfter receiving a fax from insurance, our system can:\n\nCategorize the fax by type, patient, and authorization case within an electronic inbox\n\n![uploaded image](/media/?type=post&id=72612&key=user_uploads/1312013/c11b5cae-8a02-4f20-b21a-5214b9d01701)\n\nGenerate a persuasive and evidence-based appeal letter to inbound denials\n\n![uploaded image](/media/?type=post&id=72612&key=user_uploads/1312013/7ad28ccd-c881-4df3-bc62-bc300e201c36)\n\n### **Why are we building it?**\n\nOne month ago my aunt passed away from pancreatic cancer. During her hospitalization insurance repeatedly denied treatment, preventing her from accessing chemotherapy because it wasn’t “medically necessary”.\n\nWe’re fighting every day to help other patients like my aunt get the life-saving treatments they need.\n\n### **Asks**\n\n* Share our [Appeal Portal](http://appeals.intelligahealth.com/) with the healthcare providers you know!\n* If you have experience selling to medical practices and/or hospitals, we’d love to meet with you.", "url": "https://www.ycombinator.com/launches/ItA-intelliga-health-automating-insurance-workflows-for-medical-practices", "votes": 21, "created_at": "2023-06-28T15:06:58.075Z" } ] }, { "id": 28805, "name": "Diligent", "slug": "diligent", "former_names": [ "Paylane" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/306eaffa9ae52c97e7f7fd8c9161b13409115596.png", "website": "https://godiligent.ai", "all_locations": "London, England, United Kingdom", "long_description": "We help fintech risk and AML compliance teams automate and strengthen routine customer due diligence tasks with LLMs. Our AI assistants slash cost-to-comply, improve risk detection and free up capacity for investigations that require human expertise and decision making. \r\n\r\nFintechs and banks use us to automate workflows like running thorough due diligence on a legal entity, reviewing customer documents like registry extracts, proofs of address etc and remediating false positive alerts from their AML systems.", "one_liner": "AI agents for fintech risk and compliance operations", "team_size": 10, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1706799734, "tags": [ "Fintech", "Compliance", "Fraud Prevention", "Regtech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/diligent", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/diligent.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/godiligentai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/306eaffa9ae52c97e7f7fd8c9161b13409115596.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": 727896, "full_name": "Edoardo Maschio", "title": "Founder", "founder_bio": "I was an investment associate and chief of staff @ Rocket Internet early-stage team. Incubated and invested multiple ventures with the fintech team. Previously worked as Junior associate @ Boston Consulting Group.", "is_active": true, "linkedin_url": "https://linkedin.com/in/edoardo-maschio-704", "x_url": "https://twitter.com/edoardo_maschio", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9bbf7e727118cc2a9f7e7adc6464f082dd00183c.jpg" }, { "user_id": 1349429, "full_name": "Ahmed Gaber", "title": "Founder", "founder_bio": "I'm Co-founder and CTO at Diligent and I worked in Fintech for more than a decade.\nMost recently I was VP of engineering at Billie (Europe’s largest B2B BNPL) and led multiple engineering teams on various domains: business identification, fraud, credit, and AML risk. Previously I was a technical PM and software engineer at Funding Circle.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ahmedsamygaber", "x_url": "https://twitter.com/i_sico", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f4c14ea6e2cf457d53acf7f0319eb38169b7b74b.jpg" } ], "jobs": [ { "id": 85419, "title": "Founding ML engineer", "url": "https://www.ycombinator.com/companies/diligent/jobs/qq2XJ61-founding-ml-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "£75K - £90K GBP", "equity_range": "0.50% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98850, "title": "Go-To-Market associate", "url": "https://www.ycombinator.com/companies/diligent/jobs/b4JjjoO-go-to-market-associate", "location": "London, England, GB", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$50 - $60", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Diligent AI Raises $2.5M to Empower KYC and Anti-Money-Laundering teams with AI Agents", "url": "https://www.godiligent.ai/post/diligent-ai-raises-2-5m-to-empower-kyc-and-anti-money-laundering-teams-with-ai-agents", "date": "Mar 04, 2026" } ], "launches": [ { "id": 96132, "title": "Diligent - Automate Sanction/PEP/Adverse Media alert reviews", "tagline": "KYC/AML teams use Diligent AI to reduce by 50% the time spent on AML alert handling", "body": "# **TL;DR**\n\nDiligent helps KYC/AML teams at fintechs and banks **automate the review of Sanctions / PEP / Adverse Media alerts** from their screening providers.\n\nThe agent, natively integrated with the world’s most popular AML screening providers (e.g., LexisNexis, WorldCheck, Dow Jones, etc.), reduces alert-handling time by over 50%. Trusted daily by **S&P 500 firms and global banks.**\n\nIf you’re a regulated financial institution… get in touch at [**founders@godiligent.ai**](mailto:founders@godiligent.ai).\n\n# **THE PROBLEM**\n\nSanctions, PEP, and Adverse Media screening is one of the most painful bottlenecks in KYC/AML operations. Every customer you onboard must be screened, and so must the counterparties of their transactions, to ensure no money flows to bad actors.\n\nScreening systems are essential for fighting financial crime, but they also generate a **huge volume of false positives**, especially for common names, transliterations, and partial matches. This pulls resources away from true investigations and forces analysts into repetitive work every day.\n\n# **THE SOLUTION**\n\nhttps://youtu.be/IMGAFRPFpM0\n\nWe built an **AML Screening AI Agent**: an AI agent that automatically investigates screening alerts and produces a final decision with a clear audit trail.\n\nIt works natively with all major screening providers (LexisNexis, WorldCheck, Dow Jones, etc.). Think of it as a new employee added to your account, no engineering effort required.\n\nIt opens every alert, reads hit details and articles, searches the web and other sources to enrich missing information, and recommends a disposition based on your own decisioning policy, with structured reasoning.\n\n**Result:** 40-70%+ reduction in alert-handling time, more consistent decisions, and a cleaner backlog.\n\n# **THE TEAM**\n\nWe’re [**Edo**](https://www.linkedin.com/in/edoardo-maschio-704/), [**Ahmed**](https://www.linkedin.com/in/ahmedsamygaber/?originalSubdomain=uk) and [**Chris**](https://www.linkedin.com/in/chris-leow-59856849/).\n\nAhmed led multiple teams as VP Engineering at Billie (Europe’s largest B2B BNPL), across business identification, fraud, credit, and AML risk. Previously he was a technical PM and software engineer at Funding Circle.\n\nEdo worked as an Investment Associate and Chief of Staff at Rocket Internet’s early-stage investment team and was previously a Junior Associate at Boston Consulting Group.\n\nChris was the founding member and 10yrs veteran of ComplyAdvantage - one of the world leading Anti-Money-Laundering software solutions and screening provider. He worked on their entity resolution and transaction monitoring capabilities.\n\n# **OUR ASK**\n\nIf you are a fintech or bank interested in exploring how AI agents can streamline your AML operations, or you know teams that might be interested, get in touch at [**founders@godiligent.ai**](mailto:founders@godiligent.ai) or find time to chat [**here**](https://cal.com/edoardo-maschio).\n\n\\\nYou can be up and running in a day!", "url": "https://www.ycombinator.com/launches/P0W-diligent-automate-sanction-pep-adverse-media-alert-reviews", "votes": 20, "created_at": "2025-12-11T17:43:50.529Z" }, { "id": 78512, "title": "Diligent - GenAI assistant for KYC/AML compliance operations", "tagline": "We help AML compliance teams automate routine customer due diligence tasks with Large Language Models", "body": "### **TL;DR**\n\n[**Diligent**](https://www.godiligent.ai/) **helps fintech risk and AML compliance teams automate and strengthen customer due diligence with Generative AI.**\n\nFintechs and banks use us to automate tasks like running thorough due diligence on a legal entity, reviewing customer documents (e.g. certificates of incorporation, proofs of address etc) and remediating false positive alerts from AML systems.\n\nIf you’re a fintech or bank… get in touch at [founders@godiligent.ai.](mailto:founders@godiligent.ai)\n\n### **THE PROBLEM:**\n\n**Fraud and Anti Money Laundering (AML) controls** are key parts of the fintech and banking industry but generate significant back office workload. It's 2024 and **most of the work still involves human analysts running repetitive tasks** which are costly, error prone and take time away from real investigations that can move the needle for fincrime prevention and require expertise.\n\nThese manual tasks can include things like…\n\n* checking online presence to verify the legitimacy and nature of business of a customer\n* reviewing documents like registry extracts, proofs of address and bank statements to comply with onboarding requirements\n* sitting through thousands of false positive alerts from AML systems\n\n### **THE SOLUTION:**\n\nDiligent builds **AI assistants designed to automate routine tasks**, slashing cost-to-comply, strengthening risk detection and freeing up capacity for investigations that require human expertise and decision making.\n\nOur AI assistants follow your workflow policies, integrate with existing systems and output risk intelligence or reports with a clear audit trail.\n\n![uploaded image](/media/?type=post&id=78512&key=user_uploads/727896/7970904a-f049-42f7-91fe-3b0fc3400c50)\n\n**We built 3 AI assistant archetypes**\n\n* ⚠️ _Risk assistant:_ Investigates holistically the risk and nature of business of customers and transaction counterparties. E.g. is the legal information declared verified? what does this company actually do? do website and address look suspicious? what's the online reputation on socials, reviews etc?\n* 🔍 _Screening assistant:_ Investigates automatically alerts from screening systems and slashes time spent remediating false positives on Sanctions/PEP/Adverse Media\n* 📝 _KYB assistant:_ Verifies business information and instantly validates customer uploaded documents (register extract, proof of address, bank statements etc.) according to custom acceptance policy to remove back-office verification work and avoid customer friction\n\nHere is a quick demo on how they can work together to conduct due diligence on a legal entity by investigating its legitimacy online, checking documentation, and reviewing alerts for Sanctions/PEP/Adverse Media against it.\n\n![uploaded image](/media/?type=post&id=78512&key=user_uploads/727896/78a8d2d2-27bc-4aa4-b8fd-39b03e5acaec)\n\n### **THE TEAM:**\n\nWe’re [**Edo**](https://www.linkedin.com/in/edoardo-maschio-704/) and [**Ahmed**](https://www.linkedin.com/in/ahmedsamygaber/).\n\nAhmed led multiple teams as VP engineering at Billie (Europe’s largest B2B BNPL) across business identification, fraud, credit and aml risk. Previously he was a technical PM and software engineer at Funding Circle.\n\nEdo worked as Investment associate and chief of staff at Rocket Internet early stage investment team and previously was Junior Associate at Boston Consulting Group.\n\n### **OUR ASK:**\n\nIf you are a fintech and are interested in exploring how Generative AI can streamline your risk and compliance controls… get in touch at [founders@godiligent.ai](mailto:founders@godiligent.ai) or find time to chat [**here**](https://calendly.com/edoardomaschio/30min?month=2024-02)!", "url": "https://www.ycombinator.com/launches/KQK-diligent-genai-assistant-for-kyc-aml-compliance-operations", "votes": 80, "created_at": "2024-02-18T21:00:07.591Z" } ] }, { "id": 28807, "name": "Pointhound", "slug": "pointhound", "former_names": [ "Homies" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2ca619520c27a962f58e863e40ff3811fb10853.png", "website": "http://www.pointhound.com", "all_locations": "Remote", "long_description": "Pointhound makes it easy to earn and redeem your credit card points for free flights. \r\n\r\nWe're driven by our mission to make the world more accessible through travel.", "one_liner": "Earn and redeem credit card points for free flights", "team_size": 5, "industry": "Consumer", "subindustry": "Consumer -> Travel, Leisure and Tourism", "launched_at": 1689084374, "tags": [ "Fintech", "Consumer", "Travel", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Consumer", "Travel, Leisure and Tourism" ], "regions": [ "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/pointhound", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/pointhound.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/pointhound", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/pointhound", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2ca619520c27a962f58e863e40ff3811fb10853.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 190562, "full_name": "Jay Reno", "title": "Founder/CEO", "founder_bio": "Jay is the co-founder and CEO of Pointhound (S23) and previously founder and CEO of Feather (S17), a furniture rental company for living light. Feather raised $76m from Kleiner Perkins, Bain Capital Ventures, NEA, Spark, Cobalt, SV Angel and others and was acquired in 2022.\n\nJay is also a Co-founder & Partner at Spot VC, backing exceptional YC founders.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jayjreno", "x_url": "https://twitter.com/jayjreno", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cf407ffa14a214f20121f15fc1a5e6d9afed69a5.jpg" }, { "user_id": 1402896, "full_name": "Jake Malone", "title": "Founder", "founder_bio": "I love to build great software and great engineering teams.\n\nCo-founder and CTO of Pointhound (S23) and previously CTO of Feather (S17), a furniture rental company that raised $76m and was acquired in 2022.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jakemalone", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/992edc83f054f49abc56374dad21eb11a9672d18.jpg" } ], "jobs": [ { "id": 73013, "title": "Frontend Engineer", "url": "https://www.ycombinator.com/companies/pointhound/jobs/G2tb7bB-frontend-engineer", "location": "Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$100K - $150K", "equity_range": "0.20% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 76419, "title": "✈️ Pointhound - earn and redeem credit card points for free flights 💳", "tagline": "Do you like free flights? We'll help you get *lots* of them in economy or business ", "body": "# **TL;DR**\n\n[Pointhound](https://pointhound.com) helps you earn and redeem your credit card points for free flights to amazing destinations 🛫🏝️🗼\n\nIf you’re like us and like the idea of getting free flights _for free_, read on! 👇\n\n# **🤫 The situation — and a big secret**\n\n120m Americans have credit cards, but almost none of us know how to use them or which one(s) to get. We think that cash back cards are the best because they give us, well, cash back.\n\nThe reality is, instead of cash back, earning **points** when you spend will get you _far, far_ greater ROI than cash back — upwards of 10-15x, in fact, when you use your points to book flights.\n\nBook flights with points, you say? How do I do that? Great question: by **transferring** **your points** from your credit card portal (like Amex) to an airline (like Delta) and booking with an airline.\n\nExample: let’s say you found a flight that retails for $1000. If you booked that flight through your credit card’s travel portal, it would cost you 100,000 points (or $0.01 per point — the industry standard). By transferring your points from your credit card’s portal to the airline flying the route, it might only cost you 90,000 points. Not bad.\n\nBut If you booked the Delta flight through their partner, Air France-KLM’s website, **it might only cost you 10,000 points** — 10x cheaper!\n\n_Yup, really._\n\n![](https://lh7-us.googleusercontent.com/Ybt3eTOD1Q5hY_qPmvTpU0Zr7PRHjgPk-esFb3v5pENdVIscLo6Nx1UQmHWCtw09Xl7m_Se3vOw4U-jXu-l7ChWZlejksxzGW-q-NmmL7Hm9YO5ECgCUfjRvBkq6TKvypbtIQpBDP0ozp8En53VjWSw)\n\n# **❌ The problem**\n\nOk, so now we understand that earning points are better than cash back, let’s talk about the problem:\n\n* Figuring out which point-earning credit card(s) to sign up for is complex.\n* Knowing which card you should use to maximize the points you **earn** is even more complex.\n* And figuring out how to **redeem** your hard-earned points for good, no, _great_ value may be the most complex.\n\nSure, there are the blogs and content-heavy websites that _try_ to help you navigate the world of points. But they require you to read and digest thousands of full-length articles to understand what to do.\n\nAnd there are a few companies who have built flight search tools for points, but none seem to holistically address the complexities of both **earning** points and **redeeming** those points. Oh, and they also charge you a monthly fee.\n\n# **✅ The solution — Pointhound**\n\n[Pointhound](http://pointhound.com) is a _completely free_ way to help you earn and redeem your points for free flights 🏝️☀️\n\nOur goal is simple: to simplify the complex world of credit card points and airline miles. We do this by providing our users with a few delightfully designed tools. Our tools help you:\n\n**Redeem your points**. Not sure how to use your hard-earned credit card points? You’re in luck! Our flight search engine searches over 140 airlines at once and surfaces incredible deals using your points and miles. And our [Top Flight Deals](https://pointhound.com/explore) page shows you the cheapest flights from your home airport to destinations all over the world.\n\nWe then tell you where you should transfer your points from (ex. Chase) and to (ex. Air France-KLM Flying Blue) to get the absolute best deal using your points.\n\nFor example, I just booked a flight from SFO to Tokyo in business class for only 60,000 points, when the retail price was $6500 – more than 10 times cheaper when booking with points! _Now you can too._\n\n![](https://lh7-us.googleusercontent.com/G-JvDBpItFU2r2HzbXVzxX3jmIAv9YP8nluGgDZ5aFrRdvs20-jrNVTM6ygH38DBfCst80WZOCxapnecQY207t-7zeaHSbkQIJk26v39PM_3QJWNfWmVsxv4NYv8faNMhB12r7c7n7h7xS8xQmS79yo)\n\n**Earn more points**. Newly obsessed with finding and booking free flights and want to get more points? Our personalized credit card algorithm helps you get the right card(s) for you so you can maximize the points you earn (and free flights you can get).\n\nOur goal is to equip the “points beginners” – many of us who have a card or two and would like a simple product to help us earn and redeem our points for free flights.\n\n![](https://lh7-us.googleusercontent.com/1Q51EUtGWI6LLfJtSPthI-q2QN2dSowTFKu_D8_KX5k957PRhe73c01FhSiEKK9wrrA2jymjG-bA-gUk5n91Ym-_-uV8Ywp9JkfrAlZMPWtgxot1uGm3BbNvMUZsEZh3i3B6CtFuWehXmDhbXKfk8eQ)\n\n# **👨‍👩‍👦‍👦 Why us**\n\nWe’re a mix of point junkies _and_ point beginners. We understand our user, because we _are_ our user.\n\nWe can relate, but we also ask questions and listen. Learning from our users directly is critical.\n\nWe’ve seen industries in need of a shake up — we’ve been here before. Our founding team previously founded and built the consumer startup, [Feather](https://livefeather.com/), a YC S17 company, where we raised $75 million from Kleiner, Bain and NEA, and sold the business.\n\n* [Jay Reno](https://www.linkedin.com/in/jayjreno/) 👨‍✈️ - Co-founder & CEO\n* [Jake Malone](https://www.linkedin.com/in/jakemalone/) 👨‍🏫 - Co-founder & CTO\n* [Samantha Clark](https://www.linkedin.com/in/clarksamantha/) 👩‍🎨 - Co-founder & CPO, Design, Brand\n* [Jeffrey Flynn](https://www.linkedin.com/in/jeffreynflynn/) 👨‍💻 - Founding Engineer\n\nWe’re combining our consumer experience building Feather with our passion for travel to build a once-in-a-generation travel business.\n\n# \n\n# **🙏 Asks**\n\n1. Find and book yourself a [free flight](https://www.pointhound.com/explore). _Is that a real ask?_ It sure is.\n2. Share with your friends who you think might love booking free flights! _Thanks in advance_.\n3. Please share feedback by sending an email to [founders@pointhound.com.](mailto:founders@pointhound.com) _But, like, pls don’t spam_ 🤞.\n\nWe’ve made Pointhound free for everyone, so if you find this at all valuable, your support and upvotes would be super valuable and motivating for us.\n\nHappy (free) flying! 🛫☀️", "url": "https://www.ycombinator.com/launches/JsZ-pointhound-earn-and-redeem-credit-card-points-for-free-flights", "votes": 81, "created_at": "2023-11-28T15:00:18.920Z" } ] }, { "id": 28808, "name": "PropRise", "slug": "proprise", "former_names": [ "River AI", "River", "Introscopic", "River AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/099267e4ee22818f2d0af078193f368735107d1e.png", "website": "https://www.proprise.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "PropRise is the AI platform for institutional CRE investment teams. We automate the tedious, Excel-heavy workflows that slow down dealmaking: from sourcing to underwriting to due diligence. Our two live products serve 50+ customers including Public Storage: Beacon automates site selection for developers, and Primer extracts financial data from deal packages into structured, model-ready formats, cutting hours of analyst work to minutes. We're expanding across asset classes to become the operating system for CRE dealmaking.", "one_liner": "The AI platform for CRE investment teams", "team_size": 3, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction", "launched_at": 1690588132, "tags": [ "Machine Learning", "SaaS", "Real Estate", "B2B", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Real Estate and Construction" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/proprise", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/proprise.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/proprise/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/099267e4ee22818f2d0af078193f368735107d1e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/87716158f2af30f25f48c75d3dec63f35411c1ea.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 959155, "full_name": "Jean-Michael Diei", "title": "Founder", "founder_bio": "Big fan of applying machine learning to real-world problems. \n\nAt PropRise, we're building the AI platform that automates dealmaking workflows for institutional CRE investment teams.\n\nPrior to this, I led applied ML efforts across various industries at companies such as Stripe, Embark Trucks and Microsoft. \n\nStudied Machine Learning/Computer Vision at Carnegie Mellon University.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jeanmichaeldiei", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f8530be72b98145014f829b651bd9973da199a7d.jpg" }, { "user_id": 353992, "full_name": "Matthew Krager", "title": "Founder", "founder_bio": "Heyo! I'm Krager. \n- Currently working in PropTech.\n- Long-time iOS and Full-Stack Dev.\n- Worked on FB Recruiting and Stripe Terminal", "is_active": true, "linkedin_url": "https://linkedin.com/in/matthew-krager-60b360102", "x_url": "https://twitter.com/kragerDev", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2ca54e3bf2fd8ad7a804502870b6a54e31659771.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28809, "name": "Readily", "slug": "readily", "former_names": [ "Pandan", "diligent" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5dd41b10b33a2ecd2a476de413172d7d64e9de90.png", "website": "https://readily.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Readily uses AI to free 20 million healthcare professionals from manual compliance work so they can focus on patient care. We've helped $B healthcare organizations cut regulatory analysis, policy drafting, and audit work by up to 90%, reducing consulting spend and compliance risk.", "one_liner": "AI Compliance Platform for Healthcare Organizations", "team_size": 20, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1684821530, "tags": [ "B2B", "Compliance", "Healthcare", "Regtech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/readily", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/readily.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/92577707", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5dd41b10b33a2ecd2a476de413172d7d64e9de90.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": 318129, "full_name": "Edward Tiong", "title": "Founder", "founder_bio": "CEO at Readily. Studied AI at Berkeley. Ex-Microsoft AI. 3x founder. Holds 2 patents.", "is_active": true, "linkedin_url": "https://linkedin.com/in/edwardtiong", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/52a1532f1722384a150fc482882f8e94a4511aea.jpg" } ], "jobs": [ { "id": 82767, "title": "🚀 Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/readily/jobs/SEZ25wL-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $170K", "equity_range": "0.10% - 0.40%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 82768, "title": "🚀 Full-Stack Engineer", "url": "https://www.ycombinator.com/companies/readily/jobs/hgS2kgL-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $180K", "equity_range": "0.10% - 0.40%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 82769, "title": "🚀 Compliance Program Manager", "url": "https://www.ycombinator.com/companies/readily/jobs/oPocn1w-compliance-program-manager", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$130K - $160K", "equity_range": "0.01% - 0.20%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92227, "title": "🚀 Senior Cloud DevSecOps Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/readily/jobs/TNNdP3H-senior-cloud-devsecops-infrastructure-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "$120K - $180K", "equity_range": "0.10% - 0.30%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92433, "title": "🚀 Senior Full-Stack Engineer", "url": "https://www.ycombinator.com/companies/readily/jobs/vrUSOY7-senior-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $220K", "equity_range": "0.30% - 2.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 92455, "title": "🚀 Founding Account Executive", "url": "https://www.ycombinator.com/companies/readily/jobs/bZY5TDa-founding-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$220K - $325K", "equity_range": "0.20% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 103198, "title": "🚀 Marketing Manager", "url": "https://www.ycombinator.com/companies/readily/jobs/VKVtK8S-marketing-manager", "location": "San Francisco, CA, US / Los Angeles, CA, US / Remote (US)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$120K - $150K", "equity_range": "0.05% - 0.10%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Readily raises $11M to help insurers stay compliant", "url": "https://endpoints.news/readily-raises-11m-to-help-insurers-stay-compliant/", "date": "Oct 13, 2026" } ], "launches": [ { "id": 83298, "title": "Readily - Healthcare compliance made easy", "tagline": "We help healthcare organizations find and close compliance gaps in hours not weeks.", "body": "# **tl;dr:** Readily helps healthcare organizations stay compliant as requirements become more complex. We connect their policies with regulations, making it drastically easier to find and close gaps.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXctpwpG1HfM12TBrl0_RXm7AOCE4BaRe-5VI_V3OaXJhtS2HRILw_YIdECGRLAeM2kHq-1GF7dfHD5_oeI3QgXS80w4hiJGViuj4YcBAiWb7Dgb3Ld1_BP9Sx1XobQqgRUjNhHNwxgpJRu-wCJMQNEg09BN?key=WOtv3UHkF8eR-G9ONpZmyQ)\n\n# **Problem**\n\nHealthcare organizations face growing backlogs and [**fines of up to $55M**](https://www.dhcs.ca.gov/formsandpubs/publications/oc/Documents/DMHCDHCS-JointPressRelease-LACare-Accusation-030422.pdf). It's getting harder to stay compliant as **requirements increase 30% every year** - many of which are frustratingly vague, leaving staff overworked.\n\nStaff spend hours sifting through 100,000 pages of policies and regulations, finding specific references on how to stay compliant. But as their tasks grow in volume and complexity, **Excel and PDF search just don’t cut it anymore**.\n\n# **Solution**\n\nReadily makes **compliance straightforward** for healthcare organizations.\n\n![uploaded image](/media/?type=post&id=83298&key=user_uploads/318129/784c1efe-98f4-4579-ab1d-57a5f6055010)\n\nWe connect their policies with regulations and **surface pertinent information** as their staff conduct research, analyze gaps, or prepare for audits.\n\n> _It used to take me 10 hours to review an All Plan Letter, and a junior staff twice as long. This saved me hours!” - Manager, Regulatory Affairs_\n\nFor any new requirement, we identify which departments, policies, and procedures are impacted and **what actions are needed to stay compliant**. This saves them hours of work and helps prevent costly violations.\n\n# **Ask**\n\nShare Readily with anyone you know in facing similar challenges keeping up with healthcare compliance or reach out to us (founders@readily.co). We'd love to help.", "url": "https://www.ycombinator.com/launches/LfW-readily-healthcare-compliance-made-easy", "votes": 262, "created_at": "2024-08-21T22:25:28.616Z" } ] }, { "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": 28811, "name": "Casca", "slug": "casca", "former_names": [ "CORE Ai", "Cascading AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/db0a05cec73fa1efa5d096d33cfcc210c8930955.png", "website": "https://www.cascading.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Casca is building AGI for Banking.\r\n\r\nOur first product is an AI-native platform transforming small business lending by enabling banks and lenders to originate 10x more loans with 90% less manual effort. We’ve found product market fit already serving top 10 US banks and are scaling our team very quickly.\r\n\r\nSmall businesses are the heart of the American economy. Many banks shy away from providing funding because of the manual effort in pursuing those deals. With us, that changes. We unlock affordable, quick bank funding for the 30M+ small businesses in the US who would otherwise be subject to the high interest rates from predatory online lenders.\r\n\r\nWe are a world-class team of banking & AI experts from Stanford, MIT & Y Combinator. We like to win and we know that the only thing between us and the title is our own ability to improve every day.", "one_liner": "Make Banking Magical", "team_size": 40, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1691481257, "tags": [ "Conversational Banking", "Fintech", "Machine Learning", "Finance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "**Banking IT is broken**: 30 year old legacy systems, failing RPA projects and millions of people doing manual repetitive work. Over years in the industry, we saw how the financial industry was struggling to deal with mountains of unstructured data and failed to live up to customer expectations. Loan applicants have to go through humiliatingly slow application processes when they really needed someone to count on (no wonder look-to-book churn rates are at 65-80%) - the mania of manual workflows has to end\\\\Money runs the world. Banks are critical and we need fresh talent to shake up a $25T industry." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "**Unlocking $1T in value for global banks** and making banking magical for billions of customers" } ], "url": "https://www.ycombinator.com/companies/casca", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/casca.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cascading-ai/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/db0a05cec73fa1efa5d096d33cfcc210c8930955.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": 1361486, "full_name": "Lukas Haffer", "title": "Founder/CEO", "founder_bio": "Lukas is the CEO & Co-founder of Cascading AI. He previously served as Chief of Staff for the European Market at Avaloq (a globally leading provider of core banking software with $4 Trillion in Assets managed on the platform. Lukas holds an MBA from Stanford University, where he graduated as an Arjay-Miller Scholar (top 10%).", "is_active": true, "linkedin_url": "https://linkedin.com/in/lukashaffer", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2a855142800aa28353a0259b59092eec00fa218b.jpg" } ], "jobs": [ { "id": 79577, "title": "Don't See the Perfect Fit?", "url": "https://www.ycombinator.com/companies/casca/jobs/b5IKSoC-don-t-see-the-perfect-fit", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 97521, "title": "Technical Recruiter", "url": "https://www.ycombinator.com/companies/casca/jobs/7mHU8Y2-technical-recruiter", "location": "San Francisco", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 97523, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/casca/jobs/uDbuq7M-forward-deployed-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 97524, "title": "Head of Security & Compliance", "url": "https://www.ycombinator.com/companies/casca/jobs/of4eYL1-head-of-security-compliance", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97525, "title": "Director of Customer Support", "url": "https://www.ycombinator.com/companies/casca/jobs/KAmSBwh-director-of-customer-support", "location": "San Francisco", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Series A announcement", "url": "https://www.cascading.ai/company/series-a-announcement", "date": "Aug 19, 2025" }, { "title": "FIs Explore GenAI in SMB Lending Despite Customer Concerns", "url": "https://www.pymnts.com/news/artificial-intelligence/2024/financial-institutions-explore-generative-ai-potential-small-business-lending-despite-customer-concerns/", "date": "Feb 12, 2024" }, { "title": "Cascading AI Secures $3.9 Million in Pre-Seed Funding to Revolutionize the Banking Industry with its AI-native Loan Origination System", "url": "https://www.prnewswire.com/news-releases/cascading-ai-secures-3-9-million-in-pre-seed-funding-to-revolutionize-the-banking-industry-with-its-ai-native-loan-origination-system-302058481.html", "date": "Feb 09, 2024" }, { "title": "Bankwell Bank pilots generative AI in small-business lending | American Banker", "url": "https://www.americanbanker.com/news/bankwell-bank-pilots-generative-ai-in-small-business-lending", "date": "Feb 08, 2024" } ], "launches": [ { "id": 73899, "title": "🤖 Cascading AI - Automate manual banking processes", "tagline": "Lending, account opening, customer service, back-office processing ... ", "body": "Watch our launch video [here](https://youtu.be/NFJvgmm4lIs).\n\n**tl;dr**: _Banks, credit unions, and fintechs spend billions to train and employ staff to handle complex systems and ever-growing service portfolios. Our AI agents make your teams 10x faster by navigating existing systems, surfacing the right information, and even communicating compliantly with your customers._\n\n### **🏆THE TEAM**\n\n![uploaded image](/media/?type=post&id=73899&key=user_uploads/1361486/1a6a8344-6014-46dd-81da-a861bd539b7e)\n\n**Lukas Haffer** **(CEO, Stanford GSB 23)** spent the past 4 years deploying core banking systems and outsourcing banking processes as Chief of Staff for Europe at Avaloq (one of the world’s leading core banking system providers).\n\n**Isaiah Williams (CTO, Stanford CS 22)** spent the past 4 years building conversational AI and production ML applications as a Senior ML engineer at EliseAI (one of the world’s leading conversational AI companies).\n\n### \n\n### **WHAT CAN AI DO FOR BANKING?**\n\n**Lending & Onboarding**: 300,000+ loan officers spend hours on the phone or e-mail getting applicants to complete their applications before they churn to competitors - our AI agent Leo does not give up until he has all the documents he needs.\n\n> Even if we pre-qualify more applicants, we don’t close more loans - because my loan officers can only have one conversation at a time.\n\n![uploaded image](/media/?type=post&id=73899&key=user_uploads/1361486/3b366876-5474-45ab-ba82-ffd1d6a6d59b)\n\n**Customer service**: 30,000+ daily service requests present an insane challenge to the staff of a mid-sized bank, trying to navigate multiple outdated systems and product categories - our AI agent Tom navigates their systems, surfaces the right information, and drafts responses to your clients.\n\n> Customer support has become an insane job - my teams need to navigate 15 different systems just to help 1 customer.\n\n![uploaded image](/media/?type=post&id=73899&key=user_uploads/1361486/4cc6b719-7ac1-4321-95d1-e88f98d160d0)\n\n**Back-office**: at one bank 50,000+ payments are halted every day for reasons as simple as a typo in the recipient account ID - our AI agent Anna analyzes unstructured financial information to recommend resolutions.\n\n> Even with 99% STP-rates (straight through processing) in payments, we have to manually handle thousands of exceptions.\n\n![uploaded image](/media/?type=post&id=73899&key=user_uploads/1361486/c4385ccb-a65f-4e51-9c54-0f7b8ca54a54)\n\n### **❌ THE PROBLEM**\n\nAntiquated systems and manual exception handling slow down crucial banking processes, costing banks billions. Traditional robotic process automation (RPA) could not handle unstructured information. Traditional chatbots quickly reach their limits of usefulness. And custom ML applications take months (if not years) to develop from scratch.\n\n### **✅ OUR SOLUTION**\n\n_Cascading AI agents integrate with the bank's existing IT infrastructure (in their private cloud or on-premise), learn to use their systems, and work with unstructured financial data to automate core processes._\n\n### **HOW IT WORKS**\n\n1. **Our Agents have eyes**: we use computer vision to read documents & integrate with existing systems on a UI level in addition to your APIs\n2. **Our Agents can talk**: we use conversational AI to communicate with customers or colleagues via SMS, E-Mail, Slack, Teams, secure messaging, or ticket management systems\n3. **Our Agents know banking**: we monitor agents in human-in-the-loop systems and align them with banking regulation and compliance policies\n\n### **OUR ASK**\n\n* Connect us with Banks, Credit Unions, or Fintechs looking to automate manual processes and improve customer communication.\n* Book a [demo](https://calendly.com/lhaffer/30-min-meeting?month=2023-08) or email us at [lukas@cascading.ai](mailto:lukas@cascading.ai)\n* Follow Cascading AI on [LinkedIn](https://www.linkedin.com/company/cascading-ai)", "url": "https://www.ycombinator.com/launches/JDv-cascading-ai-automate-manual-banking-processes", "votes": 21, "created_at": "2023-08-08T15:24:50.943Z" } ] }, { "id": 28812, "name": "Cedana", "slug": "cedana", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/765d8a1a78a1c5939f354a26be87d3c1c1696290.png", "website": "https://cedana.ai", "all_locations": "New York City, NY, USA; Remote", "long_description": "Cedana (YC S23) brings hyperscaler and frontier-lab orchestration capabilities for AI workflows. Our core capability is live migration for CPUs and GPUs workloads. This increases cost savings up to 80%, accelerates time to first token 2-10x, and enables stateful reliability of training jobs even through catastrophic GPU failures. We've integrated our solution into K8s, and support Kueue and Slurm for training distributed jobs, and Kserve for serving inference.   \r\n\r\nOpenAI, Meta and Microsoft have flavors of these capabilities internally and we’re bringing them to everyone. \r\n\r\nOur vision is to transform cloud compute into a real-time, arbitraged commodity. \r\n\r\nhttps://www.cedana.ai", "one_liner": "Fast, reliable, reproducible AI with GPU live migration", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1689189501, "tags": [ "Deep Learning", "Developer Tools", "Cloud Computing", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cedana", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cedana.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cedanacorp/", "x_url": "https://twitter.com/cedana_ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/cedana", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/765d8a1a78a1c5939f354a26be87d3c1c1696290.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 77597, "full_name": "Neel Master", "title": "Founder", "founder_bio": "CEO of Cedana. Previously CEO/co-founder of Engooden, AI-powered chronic disease management proven to improves outcomes and lower costs for patients (Series B). VP of Corp Development for Petra Systems (predictive smart grid/solar company) scaled from $0-$70M ARR. At TL Ventures ($1.6B VC fund) investing across semi, software and systems. Built a system for large-scale, automated ML and computer vision at MIT CSAIL. Patents and publications in AI, computer vision.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/neelmaster1", "x_url": "https://twitter.com/neelmaster", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d563c8b75caf8e9bc463baf0be90836b8802c73f.jpg" }, { "user_id": 297703, "full_name": "Niranjan Ravichandra", "title": "Founder", "founder_bio": "Co-founder/CTO at Cedana. Previously Robotics at Shopify. Previously previously Mech/Aero, published in control systems, neuromorphic computing and satellite formation flight. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/niranjanravichandra", "x_url": "https://x.com/0xnravic", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/537093808141633a595f61b05e15face61dc9b9c.jpg" } ], "jobs": [ { "id": 95527, "title": "Forward Deployed Engineer: AI + HPC", "url": "https://www.ycombinator.com/companies/cedana/jobs/d1vYocG-forward-deployed-engineer-ai-hpc", "location": "US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$140K - $180K", "equity_range": "0.10% - 0.25%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 95761, "title": "Systems Engineer: Linux Kernel Test and Validation", "url": "https://www.ycombinator.com/companies/cedana/jobs/BntWOIg-systems-engineer-linux-kernel-test-and-validation", "location": "US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$140K - $180K", "equity_range": "0.10% - 0.30%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 73681, "title": "Cedana - Real-time save, move and resume for compute", "tagline": "Solving critical GPU performance, reliability, capacity and cost problems", "body": "Hey, we’re Neel and Niranjan from [Cedana](https://cedana.ai/?utm_source=cedana&utm_medium=yc&utm_campaign=launch).\n\n![uploaded image](/media/?type=post&id=73681&key=user_uploads/77597/b1097aa9-66f2-4253-8243-63e63d5c23e9)\n\n### **The Problem**\n\nLosing work because of infra problems is painful. Imagine you have a long-running compute job and the instance fails. Your 20-hour job finished but because your pipeline was misconfigured you have to restart it from scratch.  \n\nBurning cash is stressful.  Poor utilization results in your inference jobs costing more.  If you’re managing a cluster of 1,000s of GPUs, poor utilization leaves money on the table even while demand is skyrocketing.    \n\nCold start times impact your customer satisfaction and their reliance on your solution.  \n\nLimited GPU access makes it difficult for you to innovate, and finding GPUs can be a full-time job of constantly identifying, evaluating, and adapting different vendors.    \n\n### **Our Solution**\n\nCedana is real-time migration for compute.  We automatically schedule and move workloads across instances and vendors without interrupting progress or breaking anything.\n\nThere are several critical benefits:\n\n* Utilization is maximized to save costs and eliminate idle resources.  \n* Job-level SLAs dynamically allocate compute between inference and training, prioritizing costs, latency, and performance based on preferences.  \n* Avoid re-running jobs from scratch due to infra, pipeline, or memory failures. Jobs continue their progress in the event of infra failure or spot revocation.\n* Access planet-scale compute through vendor aggregation\n* Solve the cold start problem by enabling fast auto-suspend-resume \n* Spot management that migrates and provisions new instances automatically upon revocation or failure.\n\n  \n\nOpenAI, Meta, Microsoft, and Databricks employ some of these methods internally and we’re bringing them to everyone.\n\n### **How it works**\n\n[Cedana](https://cedana.ai/?utm_source=cedana&utm_medium=yc&utm_campaign=launch) is available as an [open-source package](https://github.com/cedana/cedana-cli) and as a [managed service](https://www.ycombinator.com/launches/JAP-cedana-real-time-save-move-and-resume-for-compute). \n\n* Cedana needs no code modification and works with Linux processes or containers\n* Current use cases and customers range from AI Training and Inference, High-Performance Compute, DevTools, ML Ops platforms, and Computational Biology.\n* It automatically provisions and manages infra with your existing credentials. Our managed service can leverage our vendor relationships if preferred.\n\nHere’s a 1m30s [demo video](https://www.youtube.com/watch?v=KC4STzSQ_DU)\n\n### **Our Team**\n\nOur team has built real-world robotics and large-scale computer vision systems across a number of places including 6 River Systems/Shopify and MIT.  We’ve led the development, commercialization, and scale of NLP for clinical workflows used in the delivery of patient care.   Our team’s publications span computer vision, computer graphics, robotics optimization, and spacecraft/aerospace controls, with patents in AI use cases for grid energy management, optimal battery control, and healthcare. \n\n### **We kindly ask**\n\n* Give Cedana a try! [Check out our Github Repo](https://github.com/cedana/cedana-cli)\n* Please support us with a Github star", "url": "https://www.ycombinator.com/launches/JAP-cedana-real-time-save-move-and-resume-for-compute", "votes": 26, "created_at": "2023-08-01T22:03:04.520Z" } ] }, { "id": 28813, "name": "Lifelike", "slug": "lifelike", "former_names": [ "Wayfind", "Hyperlight" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/612d97982fa7188f4b057359d71cb159d3758d7a.png", "website": "https://lifelike.app/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1686851756, "tags": [ "Generative AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "Consumer" ], "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/lifelike", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/lifelike.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/612d97982fa7188f4b057359d71cb159d3758d7a.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": 761459, "full_name": "Alec Xiang", "title": "Founder", "founder_bio": "I'm the co-founder of Lifelike. I have a background in engineering and research, specifically in AI and systems. In the past, I have worked at Facebook (Instagram Equity), Snorkel AI (Infrastructure), and Actively.", "is_active": false, "linkedin_url": "https://linkedin.com/in/alecxiang", "x_url": "https://twitter.com/alecxiang1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5d1cf72fecec5027a454d46586b99beba942a211.jpg" }, { "user_id": 1364219, "full_name": "Jonathan Yin", "title": "Founder", "founder_bio": "Co-founder @ Lifelike. My interests lie at the intersection of machine learning, data science, and software development. Previously, I studied computer science and statistics at Yale and worked at Benchling, Octant, and the Broad Institute.\n\n", "is_active": false, "linkedin_url": "https://linkedin.com/in/jonathan-yin", "x_url": "https://twitter.com/jonathanyin_12", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7c45cf591206b4d66cfa12f3b2413798b3aacb67.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28814, "name": "OpenTools", "slug": "opentools", "former_names": [ "Odyssey AI", "Humanlike" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a9bcfe9761e073ad33344f49653b2ae4ea849d91.png", "website": "https://opentools.com", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "The API for LLM tool use", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1688659817, "tags": [ "Marketplace", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "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/opentools", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/opentools.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://x.com/opentools", "fb_url": null, "cb_url": null, "github_url": "https://github.com/opentools", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a9bcfe9761e073ad33344f49653b2ae4ea849d91.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": 65185, "full_name": "Andy Qin", "title": "Founder", "founder_bio": "Andy was the 7th employee at Modern Treasury (YC S18), where he helped build and scale the Ledgers product to a 7-figure ARR line of business. Before that, he was an engineer at Stripe (YC S09) where he worked on the API developer experience and Stripe Atlas.", "is_active": true, "linkedin_url": "https://linkedin.com/in/andylouisqin", "x_url": "https://twitter.com/andyqin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e21d7ef48d3cf3882a135de90291d394df355f7c.jpg" } ], "jobs": [], "news": [ { "title": "A Deep Dive Into MCP and the Future of AI Tooling | Andreessen Horowitz", "url": "https://a16z.com/a-deep-dive-into-mcp-and-the-future-of-ai-tooling/", "date": "Mar 20, 2025" } ], "launches": [] }, { "id": 28815, "name": "Atla", "slug": "atla", "former_names": [ "Atla", "atla", "Atla", "atla" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7e8e61ea6d3f763043392069ac87464fc6db2af.png", "website": "https://www.atla-ai.com/", "all_locations": "London, England, United Kingdom", "long_description": "Find and fix your agent’s most critical failures in hours, not days.\r\n\r\nAtla helps developers cut time spent on manually reviewing traces. Atla’s LLM judge evaluates your agent step-by-step, uncovers error patterns across runs, and suggests specific fixes—so you know exactly what to fix and why.\r\n\r\nAtla supports the most popular agent frameworks teams build with, including LangChain, CrewAI, and OpenAI Agents. With real-time monitoring, automated error detection, and prompt experimentation, Atla gives teams the visibility and control needed to confidently ship agentic systems that work. \r\n\r\nWe’re a team of researchers, engineers, entrepreneurs and operational leaders. Our expertise in evals was honed through training our own purpose-built LLM Judges, Selene and Selene Mini, which are available open-source and have been downloaded 60,000+ times.", "one_liner": "The improvement engine for AI agents", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1687465633, "tags": [ "AIOps", "Developer Tools", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/atla", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/atla.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/atla-ai", "x_url": "https://x.com/Atla_AI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/atla-037f", "github_url": "https://github.com/atla-ai/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7e8e61ea6d3f763043392069ac87464fc6db2af.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": 1125799, "full_name": "Maurice Burger", "title": "Founder", "founder_bio": "Co-founder of Atla (S23). Startup veteran @ Syrup, Trim, and Merantix. Masters in CS @ University of Pennsylvania. Half an MBA @ Harvard Business School.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/maurice-burger/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a2469ba280fe36958a607550e4d8c469166187fe.jpg" }, { "user_id": 946667, "full_name": "Roman Engeler", "title": "Founder", "founder_bio": "Co-founder & CTO of atla (S23). AI safety researcher @ MATS. MSc. Robotics @ ETH, Stanford, Imperial.", "is_active": false, "linkedin_url": "https://linkedin.com/in/roman-engeler-54416212b", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/66d764f35f54a4b1f23c31849de201dfdecd99f4.jpg" } ], "jobs": [], "news": [ { "title": "Atla wants to build text-generating AI models with ‘guardrails’ | TechCrunch", "url": "https://techcrunch.com/2023/12/05/atla-wants-to-build-text-generating-ai-models-with-guardrails/", "date": "Dec 05, 2023" } ], "launches": [ { "id": 93580, "title": "Atla: The improvement engine for AI agents", "tagline": "We help teams building AI agents find and fix recurring failures.", "body": "Hey everyone! [Roman](https://www.linkedin.com/in/roman-engeler-54416212b/) here, cofounder of Atla.\n\n# **TL;DR**\n\nAtla helps teams building AI agents find and fix recurring failures. Instead of just surfacing endless traces, Atla automatically identifies the patterns behind failures and suggests targeted fixes.\n\n**Ask:** Building agents? Try us at [atla-ai.com](http://atla-ai.com) to find your agent’s most critical issues and ship improvements in hours, not days. \n\n# https://youtu.be/LtvKBJKPxKE?feature=shared\n\n# **❌ The Problem**\n\nAgents are complex black boxes, chaining together plans, tool calls, and agent-to-agent interactions. For this reason:\n\n* Failures hide inside long traces and are difficult to spot at scale.\n* Current solutions that just display traces without identifying issues are not enough.\n\nWe’ve spoken to over 100 teams who experience similar pains of digging through thousands of traces without clear signal, and fixing one issue only to have another pop up. This slows down shipping and erodes trust in the system.\n\n# **🛠 Our Solution**\n\nAtla turns all that noise into actionable insights:\n\n1. **Error annotation**: We automatically flag errors at the step level to find the root cause of a failed run.\n2. **Pattern detection**: We cluster those errors across traces to surface the recurring, high-impact failures.\n3. **Actionable fixes**: For each failure mode, Atla generates targeted recommendations specific enough to implement as small pull requests.\n\nThe result: instead of chasing symptoms, you can focus on the 2–3 failures that actually move the needle.\n\n# 📈 **Impact so far**\n\n* A legal AI startup used in over 15 countries now spots prompt failures in days instead of weeks with Atla.\n* A fast-growing productivity AI startup doubled the number of improvements shipped with Atla.\n\n# **👷 Why Us**\n\nBefore starting Atla, I led product and engineering at two fast-growing startups and researched iterative self improvement of large language models at the Stanford Existential Risks Initiative.\n\nAt Atla, we’re a small, highly technical team of AI researchers and engineers obsessed with evaluation and reliability. We previously trained Selene, an LLM-as-a-Judge model downloaded 60k+ times.\n\n![uploaded image](/media/?type=post&id=93580&key=user_uploads/946667/61832c56-f4fa-4c93-a623-eb6c31f5b1f8)\n\n# 🙏 **Our Ask**\n\nIf you’re building agents, we’d love for you to **try Atla**: https://www.atla-ai.com/\n\nKnow teams building agents? Please **share this post** with them!\n\nThank you!", "url": "https://www.ycombinator.com/launches/OLM-atla-the-improvement-engine-for-ai-agents", "votes": 79, "created_at": "2025-09-04T15:03:23.275Z" }, { "id": 88045, "title": "Selene - The World’s Most Accurate LLM-as-a-Judge", "tagline": "Half of AI’s answers are brilliant, half aren’t. We trained a model to tell them apart.", "body": "### **TL;DR**\n\nMeet Selene, a state-of-the-art LLM Judge trained specifically to evaluate AI responses. Selene is the best model on the market for evals, beating all frontier models from leading labs across 11 commonly used benchmarks for evaluators. Today, we are releasing:\n\n* API/SDK - Integrate Selene into your AI workflow\n* Alignment Platform - Build custom evaluation metrics for your use case\n\n[Get started using Selene for free.](https://www.atla-ai.com/sign-up?utm_source=ycombinator&utm_medium=community&utm_campaign=SU_YC_launchyc_communitypost_sel1launch_)\n\n![uploaded image](/media/?type=post&id=88045&key=user_uploads/1125799/e44a5253-3117-4849-9c36-3f55ea2345a3)\n\nWatch our demo [here](https://youtu.be/5A8-XqUoNBc).\n\n### **The Problem**\n\nGenerative AI is unpredictable. Even the best models occasionally hallucinate, contradict themselves, or produce unsafe outputs. Many teams rely on the same general-purpose LLMs to evaluate AI outputs, but these models weren’t trained to be judges. That leads to:\n\n* **Inaccurate evaluations** and inefficient iteration cycles in development\n* **Risky, unpredictable** AI behavior in production\n\n### **Our Solution**\n\n* **A SOTA model for evals**: Selene outperforms all frontier models (OpenAI’s o-series, Claude 3.5 Sonnet, DeepSeek R1, etc.) across 11 benchmarks for scoring, classifying, and pairwise comparisons.\n\n ![uploaded image](/media/?type=post&id=88045&key=user_uploads/1125799/8aec7a55-9ec9-4c98-86ae-ed3293fa3988)\n\n* **A platform to align our evaluator**: Adapt Selene to your exact evaluation criteria—like “detect medical advice,” “flag legal errors,” or “judge whether the agent upgraded its workflow correctly.”\n\n ![uploaded image](/media/?type=post&id=88045&key=user_uploads/1125799/ae45cd9b-5315-4d1b-a5e5-971c1da285d4)\n\n\nSelene works seamlessly with popular frameworks like DeepEval (YC W25) and Langfuse (YC W23) — just add it to your pipeline. And it runs faster than GPT-4o and Claude 3.5 Sonnet.\n\n### **Who We Are & Why We’re Building This**\n\nWe’re a small, highly technical team of AI researchers and engineers, with folks from leading AI labs and startups. Our mission is to enable the safe development of AGI. As models grow more powerful, **we need a ‘frontier evaluator’ that keeps pace with frontier AI**. We see Selene as a stepping stone toward scalable oversight of powerful AI.\n\n![uploaded image](/media/?type=post&id=88045&key=user_uploads/1125799/c1aa726d-219c-46ca-b99f-e14279c499b2)\n\n### **Our Ask**\n\n[**Try Selene for free**](https://www.atla-ai.com/api) → Integrate our API into your eval pipeline.\n\n[**Try our Alignment Platform**](https://www.atla-ai.com/sign-up?utm_source=ycombinator&utm_medium=community&utm_campaign=SU_YC_launchyc_communitypost_sel1launch_) → Craft a custom eval for your application.\n\n[**Discord**](https://discord.com/invite/qFCMgkGwUK?utm_source=ycombinator&utm_medium=community&utm_campaign=_YC_launchyc_communitypost_sel1launch_) → Leave feedback, get to know us, and brainstorm cool ideas.\n\n![uploaded image](/media/?type=post&id=88045&key=user_uploads/1125799/8b5d8436-9914-4e22-a4d6-47f4fdf842fe)\n\n", "url": "https://www.ycombinator.com/launches/Mu5-selene-the-world-s-most-accurate-llm-as-a-judge", "votes": 56, "created_at": "2025-02-26T12:41:49.232Z" } ] }, { "id": 28816, "name": "Contour", "slug": "contour", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f5695ba4c0d9dd82ed980d0e36154b1b915be329.png", "website": "", "all_locations": "New York City, NY, USA", "long_description": "Contour is the enterprise voice AI platform for healthcare logistics. Provider networks, telemedicine companies, labs, and multi-site clinics use Contour to automate high volume, repetitive phone workflows that traditionally require dedicated back office staff. Built for regulated environments, Contour integrates directly with core clinical systems to handle every call with full auditability and HIPAA compliance.", "one_liner": "AI voice agents for healthcare operational calls", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1687380459, "tags": [ "B2B", "Workflow Automation", "Healthcare", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/contour", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/contour.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/contourai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f5695ba4c0d9dd82ed980d0e36154b1b915be329.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": 1177508, "full_name": "Arvind Subramanian", "title": "Founder", "founder_bio": "Co-founder/CEO @ Contour", "is_active": true, "linkedin_url": "https://linkedin.com/in/arvind-subramanian", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e79a51fece3c62d6d4ae515e4b847c91bb10c94.jpg" }, { "user_id": 1363906, "full_name": "Vamsi Saladi", "title": "Founder", "founder_bio": "I'm a Software Engineer and Data Scientist, am the cofounder of a new startup. I graduated from Stanford University in June 2021 with a BS in Computer Science, and in June 2022 with an MS in Computer Science - Machine Learning and Artificial Intelligence. My research focused primarily on computer vision and natural language processing, and applying new technologies in both fields to solve practical problems. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/vamsisaladi99", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1fbd13e747eae355d8ca47709461a0a1fdad1b66.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28817, "name": "Every", "slug": "every", "former_names": [ "Every, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d6d95a7e52c48aa0ca308da9a47334c29fb6c7a4.png", "website": "https://every.io/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Setup your entire back-office in one place.\r\n- Banking: Bank Accounts, Corporate Cards, Payments, Treasury\r\n- Bookkeeping & Tax: Keep you books in order and file income taxes at the end of the year\r\n- Payroll and Benefits: US Payroll in 50 states, US Contractors, International Contractors. Health, Vision, Dental, 401k Benefits", "one_liner": "Banking + Payroll/Benefits + Bookkeeping + Tax in one place", "team_size": 12, "industry": "B2B", "subindustry": "B2B", "launched_at": 1684370468, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "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/every", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/every.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/everybanking/", "x_url": "https://twitter.com/EveryBanking", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d6d95a7e52c48aa0ca308da9a47334c29fb6c7a4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 886715, "full_name": "Rajeev Behera", "title": "Founder", "founder_bio": "Rajeev was the co-founder and CEO of Reflektive, where he raised $100 million in venture capital and built the organization to 250 employees. Reflektive was ranked the 13th fastest growing company in North America by Deloitte in terms of revenue growth.", "is_active": true, "linkedin_url": "https://linkedin.com/in/rajeevbehera", "x_url": "https://twitter.com/rajeevbehera", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/716b93c4143c2d509a3bb3dfbeb82078182ecfae.jpg" }, { "user_id": 1360838, "full_name": "Barry Peterson", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://linkedin.com/in/barrympeterson", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/76c838afd58feaba649f80b2ded55e28e4bafbe8.jpg" } ], "jobs": [], "news": [ { "title": "Full-stack back-office startup Every.io raises $9.5M", "url": "https://www.axios.com/pro/fintech-deals/2023/11/16/back-office-startup-everyio-9-million-seed", "date": "Nov 16, 2023" } ], "launches": [ { "id": 105229, "title": "Every Benefits: Stop paying for health insurance your team doesn't use", "tagline": "The smarter way to offer great benefits — without overpaying for coverage employees don't need", "body": "**TLDR**\n\nHey all, I run Every, the all-in-one HR and Finance platform. We are currently serving 2100 customers, including over 300+ YC startups.\n\nToday we are launching Every Health Benefits. We combined our HR and Fintech stack to build a new way of funding health benefits that **saves the average startup $1,200 per employee per year** - while keeping the same carriers, networks, and employee experience.\n\nLaunch video: \n\n**Problem**\n\nHealthcare is the second largest cost for many startups behind payroll, and every year costs are increasing while insurance coverage is staying the same or decreasing. Costs have climbed 24% over the last five years, according to[ KFF's Employer Health Benefits Survey.](https://www.kff.org/health-costs/2024-employer-health-benefits-survey/)\n\nI have been the CEO at a startup for 10+ years now. The first few times I renewed benefits (at my previous startup) I thought my HR vendor was ripping me off. I don’t love being taken advantage of, so I got pretty upset and immediately started looking for a new vendor. When I did, I realized prices went up everywhere, and I was stuck paying thousands of dollars more for a product that wasn’t even improving.\n\nThe math is broken, and I was paying a lot of money is for benefits I knew my team was barely using.\n\nMost startup teams skew young and healthy. The average startup employee never comes close to hitting their deductible, but given the war for talent, startups have to offer expensive Gold and Platinum level plans.\n\n**Solution**\n\nEvery Benefits flips the model. Instead of paying higher premiums upfront to cover employee healthcare costs, employers choose a lower-premium plan and pair it with an employer-funded reimbursement arrangement. **Employees are reimbursed for eligible expenses as they're incurred**—so you are paying for benefits as costs are incurred, instead of before.\n\nThe result? Silver plan that feels like Gold. A Gold plan that feels like Platinum. Same carriers. Same networks. A $0 effective deductible experience for employees—at a meaningfully lower cost for employers.\n\n**Savings**\n\nFor a 25-person company with average characteristics, this reduces annual benefits spend from approximately $261,000 to $230,000—about $31,000 in a typical year.\n\n* **50 employees:** approximately $62,000 in typical-year savings\n* **100 employees:** approximately $125,000 in typical-year savings\n* **Average savings:** up to 12% on health benefits spend\n\n_Savings figures are based on a 25-employee company on a small group, fully insured Platinum PPO. Actual savings depend on plan selection and utilization and may vary. Every Benefits is available in select states; see [every.io](http://every.io) for current availability._\n\n**Ask**\n\nIf your company might be interested in this, I’d love to chat with you, please email me at [sales@every.io](mailto:sales@every.io).\n\n![uploaded image](/media/?type=post&id=105229&key=user_uploads/886715/ae7fade5-6ada-4e60-ac4c-dfc2329532d0)\n\n", "url": "https://www.ycombinator.com/launches/RNF-every-benefits-stop-paying-for-health-insurance-your-team-doesn-t-use", "votes": 43, "created_at": "2026-07-10T20:04:50.375Z" }, { "id": 89698, "title": "Every: Payroll that saves founders billions of dollars in fines", "tagline": "Seamlessly hire in the US and 200+ countries around the world with compliance on autopilot", "body": "TLDR: We've built a [payroll platform](https://bit.ly/4jkjsUM) with built-in compliance\\*\\* that allows you to seamlessly hire in the US and 200+ countries around the world. Our platform frees founders from HR compliance headaches so they can focus on building their product.\n\n[Payroll Sizzle Reel](https://www.youtube.com/watch?v=CS8htsL6t_k)\n\n**The Problem**\n\n**Founders aren't payroll experts, but the IRS doesn't care. Each year, businesses pay billions in payroll penalties.** US business owners face \\~$6 billion in annual IRS penalties because most founders aren't payroll experts and struggle with compliance tasks.\\\n\\\n**The Every difference:** We perform manual compliance reviews before tax submission. After processing \\~$60M in payroll, our customers have paid $0 in late/incorrect tax penalties.\\\n\\\n**New state, new employee, new headache.** Hiring in a new state means hours navigating unfamiliar government websites and processes—often including frustrating phone calls—to set up tax accounts and foreign qualifications before your new hire can get paid.\n\n**The Every difference:** we set up your state tax accounts for you, and can also automate foreign qualifications, saving you many hours of painful busywork, ensuring not only that you are state tax accounts are registered properly, but proactively making sure your business is compliant, reducing unnecessary stress or possible fines\n\n**Incumbent payroll systems are built for traditional SMBs, not tech startups.** Incumbent solutions were designed for traditional businesses with conventional workforces—not for tech startups with distributed teams, complex equity structures, and growth trajectories that can take you from three employees to thirty in a matter of months.\n\n**The Every difference**: Built exclusively for tech startups, not restaurants or retailers. We've invested deeply in creating an intuitive experience that saves you time and provides clarity—something impossible for competitors trying to serve every industry at once.\n\n**Our Solution**\n\n![uploaded image](/media/?type=post&id=89698&key=user_uploads/886715/b2b84836-5cd9-440a-92f1-b86210b52c6d)\n\nWe provide a **comprehensive payroll solution** designed specifically for **tech startups**. We handle the complexity of payroll, compliance, and global hiring so you can put HR on autopilot.\n\n* **We handle all the compliance stuff automatically** - As founders ourselves, we built the solution we wished we had: payroll taxes, offer letters with CIAAs, W-9 collection, and 1099 filing—all on autopilot. No more administrative headaches stealing your focus or surprise fines derailing your momentum.\n* **We handle state tax account setup -** We handle state tax registrations and filings, saving our clients hours of work and helping them avoid penalties and paperwork.\n* **We've made international hiring simple** - As founders, we needed a simpler way to hire internationally. Now you can bring on team members in 200+ countries through our EOR solution or work with international contractors using country-specific contracts—all managed in one place. No legal research, no compliance surprises, just building your best team regardless of borders.\n* **We offer concierge support** - Every client gets their own Slack connect channel with our in-house specialists. These aren't outsourced support agents - they're actual payroll, benefits, and compliance experts who know your specific situation.\n* **Compete for talent, protect your runway** - Our tech-specific health benefits packages are built for the modern startup. We've navigated these waters ourselves and created options that match what the giants offer without their massive budgets. A dedicated specialist will help you find the sweet spot between competitive benefits and financial sustainability.\n\n**What YC Founders Say About Every:**\n\n> We had some complicated situations (e.g. payroll for contractors), and Every handled them super well. We were literally set up within an hour for contractors and within a day for W2 payroll\n\n> FYI we started with Rippling  but it was a nightmare to use. It's clearly not optimized for small teams with low overhead. We ended up switching to Every. Pricing is similar but you get a significantly simpler product and founder support, and you can email a human who responds promptly. Highly recommend!\n\n> I initially tried to do Rippling and Gusto but got turned off by the friction with onboarding or with state filings. Every was 10 minutes (probably less)\n\n> Haven't thought about payroll at all since onboarding onto Every. Rajeev and team are great!\n\n**Ready for Payroll That Actually Works for Founders? Get Started Today!**\n\nVisit [Every.io](https://bit.ly/4cGEESl) today to request a personalized tour. Getting started is remarkably fast—our dedicated experts will guide you through each step of setting up your tailored payroll system with built-in compliance, international capabilities, and ongoing support. From first click to fully operational in days, not weeks.\n\n**Our Ask + $150 Referral Bonus**\n\nKnow founders struggling with payroll headaches? Introduce them to Every! We'll give you a **$150 referral bonus** for every founder who signs up for our payroll service. Simply email [**sales@every.io**](mailto:sales@every.io) with your introduction. Help your founder friends save time while earning rewards!\n\n**About** [**Every.io**](https://bit.ly/4cGEESl)\n\n[Every.io](https://bit.ly/4cGEESl) is a Series A company that has raised $32 million in venture funding from Y Combinator and Redpoint. [Here’s an article](https://techcrunch.com/2024/09/12/why-y-combinator-companies-are-flocking-to-new-banking-hr-startup-every/) from Techcrunch for our $22.5 million Series A announcement.\n\nEvery was founded by Rajeev Behera and Barry Peterson.\n\nRajeev was the co-founder and CEO of Reflektive, an HR SAAS company that he scaled to 250 employees and raised $100M from a16z, Lightspeed, and TPG.\n\nBarry was the Director of Engineering at Reflektive and has decades of experience scaling engineering teams at startups and Fortune 500 tech companies.", "url": "https://www.ycombinator.com/launches/NKk-every-payroll-that-saves-founders-billions-of-dollars-in-fines", "votes": 24, "created_at": "2025-04-21T15:57:54.077Z" }, { "id": 87009, "title": "Every.io: Incorporate your startup for $0", "tagline": "Lawyer-quality incorporation for free, in under a week.", "body": "TLDR: We’ve built a **completely free incorporation service** to help tech founders form their startups as Delaware C-Corps - without paying $5,000 in legal fees. We also handle your entire back-office setup (banking\\*, payroll, accounting, and taxes) in under two hours, saving you 20+ hours on average so you can focus on building your product.\n\n### **The Problem**\n\nMany first-time founders discover - often too late - that incorrect or incomplete incorporation documents can raise red flags and make you look unprofessional in front of investors. Fixing these mistakes can cost thousands of dollars, lead to major delays when raising capital, and damage your reputation right when you need investor confidence the most.\n\n### **Our Solution**\n\n![uploaded image](/media/?type=post&id=87009&key=user_uploads/886715/adbc5bc1-27bf-440a-a8a9-f2afbb222fde)\n\n**Every** provides **lawyer-quality** incorporation documents at no cost, ensuring your startup is **investor-ready** from day one. In addition, we set up your **entire back office**—bank account\\*, payroll & HR, accounting, and taxes—so you don’t waste time juggling multiple vendors.\n\n* **Lawyer-quality incorporation, for free.** Instead of paying $5,000 to incorporate your startup with a lawyer, you get the same quality - and it is free. We have already incorporated 50+ Y-Combinator and Antler companies that successfully received investment with zero issues or need for legal re-work.\n* **Structure your stock to maximize your returns.** We provide clear guidelines for founder vesting, including a double-trigger acceleration clause to protect your equity if your startup is acquired and you’re terminated. \n* **Amazing Deals.** Once you incorporate and open your account with Every, you unlock a **$3,000 bonus** if you raise **$500K or more**, plus **3% cashback** on all corporate card spend.\n* **Save 20+ hours setting up your entire back office.** [Every.io](https://www.every.io/?utm_campaign=6576190-Launch%20YC&utm_source=Launch%20YC) doesn’t just offer incorporation. We set up your bank account\\*, payroll & HR, accounting, and taxes—everything you need to run your startup for the first five years. Usually, you would need to setup four different vendors and spend 25+ hours to get it all up and running. With Every, it will take less than 2 hours to set up everything.\n\n### **How to get started**\n\n[Visit Every.io](https://www.every.io/contact?utm_campaign=6576190-Launch%20YC&utm_source=Launch%20YC) to see how you can form your tech startup for **$0** and streamline your entire back office.\n\n![uploaded image](/media/?type=post&id=87009&key=user_uploads/886715/bc0b5a47-9cf5-49ed-9d78-224beaffb6d9)\n\n### **Our Ask + $150 Referral Bonus**\n\nIf you have any friends starting a company that needs to be incorporated, please let them know about us!  If you introduce a founder friend who incorporates with us, we’ll give you a **$150 referral bonus**. Just email [**sales@every.io**](mailto:sales@every.io) to introduce them to us 🙂\n\n**About **[**Every.io**](https://www.every.io/?utm_campaign=6576190-Launch%20YC&utm_source=Launch%20YC)\n\n[Every.io](https://www.every.io/?utm_campaign=6576190-Launch%20YC&utm_source=Launch%20YC) is a Series A company that has raised $32 million in venture funding from Y Combinator and Redpoint. [Here’s an article](https://techcrunch.com/2024/09/12/why-y-combinator-companies-are-flocking-to-new-banking-hr-startup-every/) from Techcrunch for our $22.5 million Series A announcement.\n\nEvery was founded by Rajeev Behera and Barry Peterson.\n\nRajeev was the co-founder and CEO of Reflektive, an HR SAAS company that he scaled to 250 employees and raised $100M from a16z, Lightspeed, and TPG.\n\nBarry was the Director of Engineering at Reflektive and has decades of experience scaling engineering teams at startups and Fortune 500 tech companies.\n\n\\*Every is not a bank. Banking services are provided by Thread Bank, Member FDIC. The Every Visa Business Debit Card is issued by Thread Bank, pursuant to a license from Visa U.S.A. Inc., and may be used anywhere Visa cards are accepted.", "url": "https://www.ycombinator.com/launches/MdN-every-io-incorporate-your-startup-for-0", "votes": 58, "created_at": "2025-01-21T17:31:25.705Z" } ] }, { "id": 28818, "name": "Mandel AI", "slug": "mandel-ai", "former_names": [ "Enbank", "Fynt", "Fynt AI", "Fynt", "Fynt AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4cf3efb3a17f100893c2b9e11f3f945ba7fbdf04.png", "website": "https://www.mandel.ai/", "all_locations": "Sofia City Province, Bulgaria", "long_description": "Mandel runs the operational work across direct-materials sourcing and ordering - from RFQ through invoice - for manufacturers and distributors. It coordinates suppliers, checks orders and invoices against agreed terms, resolves discrepancies, recovers supplier credits, and keeps the ERP current.\r\n\r\nWorking across email, supplier portals, EDI, and ERP systems, Mandel investigates issues and carries out the next steps within your team’s approval rules.", "one_liner": "AI Coordination Layer for Supply Chain", "team_size": 9, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1691105932, "tags": [ "Logistics", "Manufacturing", "Supply Chain", "Procurement", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "Bulgaria", "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/mandel-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/mandel-ai.json", "year_founded": 2023, "city": null, "country": "BG", "linkedin_url": "https://www.linkedin.com/company/mandel-ai/", "x_url": "https://x.com/mndl_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4cf3efb3a17f100893c2b9e11f3f945ba7fbdf04.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": 1376951, "full_name": "Nick Gospodinov", "title": "Founder", "founder_bio": "Founder & CEO of Mandel AI (S23)", "is_active": true, "linkedin_url": "https://linkedin.com/in/nick-gospodinov-457643187", "x_url": "https://twitter.com/shmkkr", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/48ac7541cec5765c2018cacbe34300ac3b05df66.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 82795, "title": "Mandel AI - Never chase suppliers for updates again", "tagline": "We surface supply chain disruptions and supplier updates with email AI.", "body": "# **One Email Unsent - That’s all it could take for the global supply chain to crash**\n\nThe way to manage a supply chain has not changed since the invention of E-Mail and Excel.\n\n## **What’s the problem?**\n\nFor your ordered Tesla to be produced, there are thousands of suppliers that need to be coordinated so that a single bolt missing does not halt $billions of production.\n\nHowever, today, procurement teams manage this coordination through email, spreadsheets, PDFs (and, horrifyingly, sometimes even WhatsApp).\n\nThis means there are tons of supply chain disruptions not caught on time because an email or spreadsheet was not sent to or from the supplier.\n\n**This year, due to supply chain disruptions,** [**businesses will lose over $1.6 Trillion**](https://www.accenture.com/content/dam/accenture/final/capabilities/cross-service-group/iconic-thought-leadership/document/Resiliency-in-the-making-report.pdf)\n\n## **So how do we fix this?**\n\n[Mandel AI](https://www.mandel.ai/) is building autonomous supply chain agents that plug into the email and ERP of manufacturers to create a real-time, self-updating source of truth for your supply chain. Our AI-powered procurement agents:\n\n* Proactively email suppliers for order updates\n* Surface supply chain disruptions and extract supplier updates (like lead times & price updates) from emails\n* Save 20+ hours per week per team member\n\n![uploaded image](/media/?type=post&id=82795&key=user_uploads/1376951/2c1d8412-6fe0-4a76-9d51-d461ec432b01)\n\n![uploaded image](/media/?type=post&id=82795&key=user_uploads/1376951/6000a50f-4441-40d4-afcb-470574a4b499)\n\n![uploaded image](/media/?type=post&id=82795&key=user_uploads/1376951/cf3b9f13-47b4-4d05-b8c2-bf5bb39865ec)\n\n## **Why It Matters**\n\nProcurement teams spend up to 80% of their time manually emailing suppliers for RFQs and PO update requests, leading to production delays and miscommunications that can result in millions or billions in lost sales. As Covid proved, in today's global supply chain, real-time visibility and rapid response to issues are critical for the business and the end consumer.\n\n![uploaded image](/media/?type=post&id=82795&key=user_uploads/1376951/7e0f13f0-ca52-4e22-82f2-3726b9b2eaa4)\n\n**We have already processed $50M+ in material spend and 40,000+ email threads.**\n\n**To create your first Mandel AI agent, sign up on our website:**\n\n### [**www.mandel.ai**](http://www.mandel.ai)", "url": "https://www.ycombinator.com/launches/LXP-mandel-ai-never-chase-suppliers-for-updates-again", "votes": 80, "created_at": "2024-08-07T00:24:34.437Z" } ] }, { "id": 28821, "name": "Prosper", "slug": "prosper", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dbf5a3fe66d78955d591f3cbd3eee3f1635749ff.png", "website": "https://www.getprosper.ai?utm_source=yc&utm_medium=directory&utm_campaign=yc_directory", "all_locations": "New York City, NY, USA", "long_description": "Prosper builds AI phone agents for healthcare providers. Our agents automate manual, time-intensive workflows like patient scheduling, balance reminders, claims status checks, benefit verification, and prior authorizations. We integrate with 80+ EHRs, go live in 3 weeks, and offer a no-code interface for customization.\r\n\r\nToday, Prosper handles thousands of daily calls for dozens of providers, reducing costs by 50% and tripling productivity. We’re building the AI-first operating system for healthcare to eliminate the $200B lost to administrative overhead every year.", "one_liner": "AI Phone Agents for Healthcare Operations", "team_size": 60, "industry": "B2B", "subindustry": "B2B", "launched_at": 1754605314, "tags": [ "Health Tech", "B2B", "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/prosper", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/prosper.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/prospertechnologies/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/prosper-ai-70ea", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dbf5a3fe66d78955d591f3cbd3eee3f1635749ff.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 751807, "full_name": "Xavier de Gracia", "title": "Founder", "founder_bio": "Co-founder of Prosper, building AI agents to fix healthcare's $200B admin burden. Previously VP/GM of a $120M business unit, leading 800+ customer service agents, 300 phone sales reps, and 30+ ops staff. Advised healthcare PE and tech companies on GTM and operations at Bain & Co. MBA from Harvard, BBA from ESADE.", "is_active": true, "linkedin_url": "https://linkedin.com/in/xavierdegracia", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e0864fbb61d0a740e093ec53406ace7aef0c7230.jpg" }, { "user_id": 1161967, "full_name": "Josep Mingot", "title": "Founder", "founder_bio": "Co-founder of Prosper, building AI agents to fix healthcare's $200B admin burden. Previously Product leader at Coverwallet (acq. by Aon), where I led the Insurance Health initiative that drove the acquisition, scaling the team from 3 PMs to 40+ and 200+ engineers. Co-founder of Arcvi, an AI consulting firm across Insurance, Health and Banking - top 2% in the Data Science Bowl for lung cancer image prediction. Former MIT Computer Vision research assistant.", "is_active": true, "linkedin_url": "https://linkedin.com/in/mingot", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/60e974fe29de911ac7693c41903d69586e4c363f.jpg" } ], "jobs": [ { "id": 80060, "title": "Founding Senior Account Executive", "url": "https://www.ycombinator.com/companies/prosper/jobs/okQVFc8-founding-senior-account-executive", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89751, "title": "Founding Business Development Representative", "url": "https://www.ycombinator.com/companies/prosper/jobs/ZWHDKM0-founding-business-development-representative", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$104K - $125K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Prosper AI lands $30M backed by Andreessen Horowitz to build AI workforce for healthcare operations | Fierce Healthcare", "url": "https://www.fiercehealthcare.com/ai-and-machine-learning/prosper-ai-lands-30m-backed-andreessen-horowitz-build-ai-workforce", "date": "Jun 22, 2026" }, { "title": "Prosper AI Raises $5 Million To Fix Healthcare’s $450 Billion Admin Crisis", "url": "https://www.forbes.com/sites/charliefink/2025/09/23/prosper-ai-raises-5-million-to-fix-healthcares-450-billion-admin-crisis/", "date": "Sep 23, 2025" } ], "launches": [] }, { "id": 28822, "name": "Electric Air", "slug": "electric-air-2", "former_names": [ "Helios Climate Industries", "Electric Air", "Electric Air (Previously Helios Climate)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/de40cdab3b2a59f362314d96298b6bfbfdf6a69b.png", "website": "https://www.electricair.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Electric Air is a tech-enabled contractor for heat pump installations that cuts costs by 60%. Heat pumps are the most efficient way to heat American homes with a $53B annual market opportunity. ", "one_liner": "Tech-enabled heat pump contractor that cuts costs by 60%", "team_size": 18, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1689390208, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Real Estate and Construction", "Construction" ], "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/electric-air-2", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/electric-air-2.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/electric-air-heatpumps/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/de40cdab3b2a59f362314d96298b6bfbfdf6a69b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f9d2823cb2a02d3d8a52b26b3cb63b06e98edf0b.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 296984, "full_name": "Jeremy Osborne", "title": "Founder", "founder_bio": "Jeremy is the co-founder and CEO of Electric Air, on a mission to lower the cost of heat pumps for a brighter future. He is a renewable energy engineer with over a decade of experience working on heat pump systems. He's a two-time Y Combinator founder, having started Boundary Layer Technologies (W19). ", "is_active": true, "linkedin_url": "https://linkedin.com/in/jezosborne", "x_url": "https://twitter.com/JezOsborne", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/00d8cd40c903fcae44808e7c0549d0ab4ddca964.jpg" }, { "user_id": 1004734, "full_name": "Chris Mui", "title": "Founder", "founder_bio": "Former aerospace and Tesla engineer, passionate about building better residential heat pumps. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/christophermui/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/77be6905998da5ee5e4b4c341975a74ed9b85b5f.jpg" } ], "jobs": [ { "id": 76642, "title": "Senior Full stack Engineer", "url": "https://www.ycombinator.com/companies/electric-air-2/jobs/0zeoBWa-senior-full-stack-engineer", "location": "Redwood City, CA, US / Remote (CA; MX; BR; AR; US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140 - $180", "equity_range": "0.25% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Django", "PostgreSQL", "Python", "React", "Tailwind" ] }, { "id": 97430, "title": "Heat Pump Sales Engineer", "url": "https://www.ycombinator.com/companies/electric-air-2/jobs/w95jORY-heat-pump-sales-engineer", "location": "Redwood City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 97431, "title": "Founding Growth & Brand Lead", "url": "https://www.ycombinator.com/companies/electric-air-2/jobs/d00BIOn-founding-growth-brand-lead", "location": "Redwood City / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $250K", "equity_range": "0.50% - 5.00%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [ "Growth design", "Marketing design" ] } ], "news": [], "launches": [ { "id": 73101, "title": "Helios - Affordable and efficient heat pump installations", "tagline": "Helios replaces your home's furnace with a heat pump, saving you money and helping the environment!", "body": "**tl;dr** - Heat pumps are the most efficient way to both heat and cool your home. [Helios](https://www.heliosclimate.io/?utm_source=Y+Combinator&utm_medium=Social&utm_campaign=launch_YC) installs high quality residential heat pump systems at an affordable price with a painless buying process. \n\nHey everyone, it’s Jeremy and Shreyas and we’re building [Helios](https://www.heliosclimate.io/?utm_source=Y+Combinator&utm_medium=Social&utm_campaign=launch_YC)!\n\n![](https://lh6.googleusercontent.com/Krmgi7AuLnqz1qafZo7MXpOzirhC_U7RftB6VAVKFXTdOPERsM39ULsH2KTh2DI1p8RFQIN3nPSxUBENVx_mRqUg_sCv86uaWCwQk7yW1nvr7f-rQ-VbYvTdDMfvbRORdpDyPKM33k5C4Pk3_-ni_A)\n\n**What are heat pumps and why do we need them?**\n\nUS Residential space heating alone represents roughly 1% of total global emissions. This is because the vast majority of homes in the US are still heated by burning dinosaurs in a gas furnace. Fortunately, heat pumps are a proven and mature technology to transition buildings to clean, renewable electricity.\n\nA heat pump is like an air conditioner that can run in reverse, both heating and cooling your home. Traditional air conditioners take heat from inside your home, transfer it into refrigerant, and exhaust it outside. Heat pumps have a special valve that allows them to do the opposite, transferring heat from outside your home to inside. They’re able to comfortably heat your home even when it’s incredibly cold outside. Because heat pumps move heat rather than generating it, they are mind bogglingly efficient - with efficiencies up to 400%! Not only are they better for the planet, but they can save you money on your energy bills.\n\nMost homeowners can replace their existing furnace with an efficient heat pump system today. They’re also a great way to add air conditioning to homes that previously didn’t have it.\n\n**Why don’t more homes have them?**\n\nCost is the largest barrier to heat pump adoption. Installing a heat pump system in a typical American home can cost $15-30k! At these prices, gas furnaces (which typically cost dramatically less) sadly remain the default choice.\n\nHowever, heat pumps are extremely common in the rest of the world. In Australia, a homeowner would pay around half the price for a similar system!\n\nMore than half of the cost for a heat pump in the US comes from installation. Fortunately, this is something that we are uniquely positioned to tackle. Helios is installing heat pumps in the US for a fraction of the cost.\n\n![](https://lh4.googleusercontent.com/6v-jet006MWaOi_8RCCUMCvrHgP4cVUol7e9z2qKPGg8Rd2RD3rDo5Ta2r7wAW_NCXZQD7BUcW4781cwNrXn2S6VrHCy_YZRVnQ9nWWSzLCbBM5SsAwtH-8P6lpoCrrWOFu65ClNoYATorVxLTHc2g)\n\n**Who are we?**\n\nJeremy is a repeat Y Combinator founder and spent 10 years designing and building heat pump systems. Shreyas is a former rocket propulsion engineer from Blue Origin and SpaceX, with experience dramatically decreasing the build time of complex rocket engine assemblies. \n\nWe’re applying these skills to the large-scale deployment of low cost heat pumps. We’re simplifying the installation process to enable non-specialized labor (think car mechanics or plumbers) to install these systems.  Prefabrication and kitting mean that the right tools and parts are staged for each part of the installation, and our technicians spend less time at the job site. All of these things translate into dramatically cheaper heat pumps for our customers.\n\n**Our ask**\n\nSign up for a heat pump installation with Helios. Please [**fill out our form**](https://www.heliosclimate.io/get-a-quote) and get started. \n\nYou might: \n\n* Have an aging furnace or air conditioner that is ready for replacement (typical lifespans are \\~15 years)\n* Be looking to add air conditioning for the first time\n* Be looking to increase comfort in a single room that gets too hot or cold\n* Care about the climate and want to transition away from fossil fuels!\n\n![](https://lh5.googleusercontent.com/ZuqdiiQiY4GFG6Mi2h7tKIXmr47AKlHqNDtqw6-H7iTIzsQflqaJpET4vLzFhrf3W4Uw-8RyrSAtMrpu6U-zTni6aA1gwqDirjvBFQiph53gx-uU_iDYKawuwzwcrsO5zZqyd6D_kQ6NAQ0jblHn9w)\n\nWe can heat and cool a studio or single room for a **flat price of $4,790** including all parts, labor, and permitting. Entire home heating and cooling packages start at **$14,990.** These systems can work with existing ducts. We are working in concert with our local contracting partners who are fully licensed and insured.\n\n**Please **[**fill out our form**](https://www.heliosclimate.io/get-a-quote)** if you are interested in installing a heat pump in your home, or pass it along to someone who might be! We have a limited number of installation slots for this summer that are quickly filling up.**", "url": "https://www.ycombinator.com/launches/J13-helios-affordable-and-efficient-heat-pump-installations", "votes": 43, "created_at": "2023-07-15T22:58:31.662Z" }, { "id": 69884, "title": "⚡Electric Air - Tesla for heat pumps", "tagline": "Modern heat pump technology with HEPA, sold direct to homeowners", "body": "Hi YC! I'm Chris, founder of Electric Air.\n\nElectric Air is building the Tesla of home heating and cooling, with a complete solution of modern heat pump technology and direct-to-homeowner purchase and install experience.\n\n![uploaded image](/media/?type=post&id=69884&key=user_uploads/1004734/c74e4d4a-7304-4605-ac4c-aff2621f3b71)\n\nI’ve spent my whole career building and designing thermal systems - first in aerospace, then at Tesla working on Model 3 and Semi Truck, and most recently in vertical farming. I got really excited about residential heat pumps when I realized that we’re about to go through a huge transition where the 80M single family homes in the US replace their furnaces with heat pumps. \n\n**Interested? Check out the Electric Air launch site** [**electricair.io**](https://electricair.io?utm_source=yc&utm_medium=web&utm_id=launch_yc) **and pre-order a system for your home. I’d also love to hear from homeowners about your pain points around heating, cooling and ventilation. You can email me at **[**chris@electricair.io**](mailto:chris@electricair.io)** .**\n\n### **What’s a Heat Pump? 🌎**\n\nA heat pump is a really efficient, all electric replacement for your home’s furnace and air conditioner. It uses refrigerant and a compressor to move energy to and from your living spaces. Residential heating makes up 10% of US energy use, and heat pumps are the best option for shifting this segment from fossil fuels. Heat pumps can also save homeowners on their monthly utility bills vs heating with natural gas, propane, fuel oil, and electric resistance. And thanks to the popularity of vapor injection systems, heat pumps now work well even in the cold climates of the Northeast.\n\n### **The Problem**\n\n* The homeowner experience sucks because the integration of thermostat, heat pump equipment and air quality systems is terrible. (Nothing works together well, the best thermostats are not fully compatible with efficient heat pumps.)\n* The process of getting a heat pump is painful, including finding a trustworthy contractor, sorting out financing, and wading through rebates\n* Contractors struggle with installs because of the difficulty of properly sizing the system, and understanding if your duct work is compatible with a heat pump\n\n### **The Solution 🔥**\n\nElectric Air is a full software and hardware solution:\n\n* Smart thermostat with PM2.5 and CO2 monitoring that triggers whole-home HEPA filtration and fresh air intake \n* Thermostat algorithm uses grid, weather and time-of-use rate plan signals to reduce monthly utility bills\n* A more powerful air handler and contractor software allows for more ducted installs\n* A beautiful outdoor condenser means you don’t have to hide this device in an alley\n* Seamless online sales experience - homeowners can order the system from the Electric Air website and get connected with financing, rebates and a trusted contractor\n\n### **Questions?**\n\nShoot me a message at [chris@electricair.io](https://mailto:chris@electricair.io)", "url": "https://www.ycombinator.com/launches/IBA-electric-air-tesla-for-heat-pumps", "votes": 39, "created_at": "2023-03-02T21:07:30.661Z" } ] }, { "id": 28823, "name": "Craftwork", "slug": "craftwork", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a808b8722de9d2ecbb9fc19cae6ba864f6358f23.png", "website": "https://craftwork.com/", "all_locations": "Charlotte, NC, USA", "long_description": "Craftwork is a full-service home painting company that uses software to dramatically improve the homeowner and operator experience.", "one_liner": "Digital-native home painting franchise", "team_size": 50, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1689608644, "tags": [ "Proptech", "Home Services", "Home Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Real Estate and Construction", "Construction" ], "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/craftwork", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/craftwork.json", "year_founded": 2023, "city": "Charlotte", "country": "US", "linkedin_url": "https://www.linkedin.com/company/craftworkhome", "x_url": "", "fb_url": "https://www.instagram.com/craftworkpaint/", "cb_url": "https://www.crunchbase.com/organization/craftwork-be22", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a808b8722de9d2ecbb9fc19cae6ba864f6358f23.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/bb1fa629a28388bfe2035c893893fca712a7f883.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/83c2ef93e35eed99498b6f87c14976dadf6be198.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 193855, "full_name": "Tim Griffin", "title": "Founder/CEO", "founder_bio": "Tim is an active angel investor and two-time YC founder. He's currently the co-founder and CEO of Craftwork (YC S23) and previously founded Cloosiv (YC S19), a company that he successfully completed a merger of equals with Odeko and grew annual revenue from $0 to $150M+ in just 18 months. Odeko is currently #115 on Y Combinator’s top companies list.", "is_active": true, "linkedin_url": "https://linkedin.com/in/griffintimothy", "x_url": "https://www.twitter.com/timgriffin77", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bc1a82867076f835fd3f60c6f4137b94d8787ba0.jpg" }, { "user_id": 1363052, "full_name": "Mike Bifulco", "title": "Founder", "founder_bio": "Co-founder and CTO of Craftwork, co-founder of APIs You Won't Hate, author at mikebifulco.com. Co-founder of smpl (acquired 2020). \n\nPast work includes DevRel at Stripe, DevRel manager and TL for Google Assistant, UX at Microsoft, and Technical Director at Gymnasium \n\n💌 Tiny Improvements: https://mikebifulco.com/newsletter", "is_active": true, "linkedin_url": "https://linkedin.com/in/mbifulco", "x_url": "https://twitter.com/irreverentmike", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7b68fcd10d8bf93f862ebefe44eb804695d29f1e.jpg" }, { "user_id": 578635, "full_name": "Suzanne Griffin", "title": "Founder", "founder_bio": "I've been an early stage employee at two YC startups (CareRev S16, and Plato W16) and I'm the Co-founder of Craftwork (YC S23).", "is_active": true, "linkedin_url": "https://linkedin.com/in/suzannelevygriffin", "x_url": "https://twitter.com/suzannerenee6", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/78a4bba4d80ac5f6ea3552918a35242b9edad69b.jpg" }, { "user_id": 1437957, "full_name": "Joey Skavroneck", "title": "Founder", "founder_bio": "Joey scaled Zoomo from a seed stage company to the global leader in their category, leading their North American business and largest global partnerships. Previously, he was a management consultant, sold his OOH advertising company, and earned his MBA from Stanford GSB.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joeyskavroneck/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2171e26f8729b570195a28f1f34eff56ed1475b4.jpg" } ], "jobs": [ { "id": 112478, "title": "Full Stack Engineer", "url": "https://www.ycombinator.com/companies/craftwork/jobs/QDKvIpb-full-stack-engineer", "location": "Charlotte, NC, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$170K - $210K", "equity_range": "0.02% - 0.04%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Node.js", "React", "TypeScript", "Next.js" ] } ], "news": [ { "title": "Charlotte startup Craftwork lands $7 million funding round - Axios Charlotte", "url": "https://www.axios.com/local/charlotte/2025/01/19/startup-craftwork-funding-charlotte", "date": "Jan 19, 2025" }, { "title": "Craftwork Out To Modernize Home Services, Scores $6 Million Seed Round", "url": "https://www.forbes.com/sites/brucerogers/2023/11/17/craftwork-out-to-modernize-home-services-market-scores-6-million-seed-round/", "date": "Nov 17, 2023" }, { "title": "Y Combinator: A program so nice, these founders did it twice | TechCrunch", "url": "https://techcrunch.com/2023/09/10/y-combinator-repeat-founders/", "date": "Sep 10, 2023" }, { "title": "Startup Craftwork raises $4M", "url": "https://www.bizjournals.com/charlotte/inno/stories/fundings/2023/08/10/craftwork-y-combinator-funding-tech-house-painting.html", "date": "Aug 10, 2023" }, { "title": "Charlotte tech startup at Y Combinator raises $4 million", "url": "https://charlotte.axios.com/334157/charlotte-tech-startup-at-y-combinator-raises-4-million/?fbclid=IwAR0Y850wsC9Weyxi1vKuQ4P3No9Wutt0bHxvZ8CiN9jct_ir9rs72o59144_aem_AVkl16No6389ZDQC1Dxg81tOtEZknW5_9D3uqrNuctS7ZyWOxUVX0Hic-xuW1qk3l2I&mibextid=Zxz2cZ", "date": "Jul 16, 2023" } ], "launches": [ { "id": 73128, "title": "🏠 Craftwork - The easy way to paint your home", "tagline": "Book and manage your next home painting project online", "body": "![uploaded image](/media/?type=post&id=73128&key=user_uploads/193855/6ebcaff5-3082-47ba-a81f-b42c8d54de57)\n\n[**Craftwork**](https://craftwork.com) is a home painting company that builds software to make it easy for homeowners to book and manage their home painting projects. We then deploy trained, full-time employees to paint our customers’ homes.\n\n**The Problem**\\\nToday, it’s hard for homeowners to locate and hire home service providers, because contractors don’t use technology and rely on outdated employment models to operate their businesses.\n\nAs a result, the process for homeowners to complete any home project is riddled with challenges - from tediously searching for a reputable contractor, to coordinating multiple walkthroughs of their home, reviewing quotes, selecting a provider, agreeing to terms, scheduling the work, and enduring price and timeline changes before the work is finally completed - each step is frustratingly manual, unpredictable, and outdated.\n\n**The Solution**\\\nAt Craftwork, our coupling of a vertically integrated business model with best-in-class software allows us to deliver an unparalleled experience to homeowners.\n\nOur unique approach puts homeowners in control - from getting an estimate online with transparent pricing, to scheduling their projects and exploring our color selection tools, to meeting the team that will paint their homes and understanding what to expect when we arrive - we’re establishing a standard of transparency, accountability, and trust that simply can’t be matched.\n\nAs homeowners we’ve experienced first-hand just how difficult it can be to hire quality contractors. We believe that by building software to simplify the homeowner experience and streamline internal operations, we’ll disrupt the $500B+ home services market and grow to become the largest residential general contractor in the country.\n\n**The Team**\\\nWe’re all former founders and early-stage team members with experience successfully scaling operations-heavy technology startups.\n\n* Tim is a two-time YC founder whose last startup [Odeko](https://bookface.ycombinator.com/company/12565) (S19) is currently #115 on Y Combinator’s list of [top companies](https://www.ycombinator.com/topcompanies/valuation).\n* Mike was the founder of [Smpl](https://www.crunchbase.com/organization/smpl-llc), a co-working management app that was acquired in 2020.\n* Suzanne led people operations at two YC startups - [Plato](https://bookface.ycombinator.com/company/1048) (W16) and [CareRev](https://bookface.ycombinator.com/company/1188) (S16) - where she managed large scale team growth.\n* Joey built and sold his OOH advertising company before scaling [Zoomo](https://www.crunchbase.com/organization/bolt-bikes) from a seed-stage company to the global leader in their category.\n\n**The Ask**\\\nIf you have friends or family in the Charlotte, NC area we would really appreciate you sharing Craftwork with them. We’re offering $100 off when homeowners book a project with us by August 31st - they can go to [craftwork.com/summer](http://craftwork.com/summer) to get an estimate for their projects!\n\n**Read more on** [**Axios**](https://charlotte.axios.com/334157/charlotte-tech-startup-at-y-combinator-raises-4-million/?fbclid=IwAR0Y850wsC9Weyxi1vKuQ4P3No9Wutt0bHxvZ8CiN9jct_ir9rs72o59144_aem_AVkl16No6389ZDQC1Dxg81tOtEZknW5_9D3uqrNuctS7ZyWOxUVX0Hic-xuW1qk3l2I&mibextid=Zxz2cZ)", "url": "https://www.ycombinator.com/launches/J1U-craftwork-the-easy-way-to-paint-your-home", "votes": 68, "created_at": "2023-07-17T12:01:29.342Z" } ] }, { "id": 28824, "name": "Lio (formerly askLio)", "slug": "lio", "former_names": [ "Trado", "ask Lio", "askLio" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8204e1af97e71eaee05a775d2cae5a0c21867fd1.png", "website": "https://www.lio.ai", "all_locations": "BY, Germany", "long_description": "Lio (formerly known as askLio) builds the world's most advanced AI procurement workforce for enterprise companies worldwide. Every purchase request is managed by specialized agents working in parallel - researching vendors, negotiating terms, managing approvals, and tracking deliveries simultaneously. What once consumed your team's hours is now executed by a coordinated network of AI Agents.\r\n\r\nThe most renowned Fortune 500 and Global 2000 companies in the world are already using Lio.", "one_liner": "The World's First Multi-Agent System for Procurement", "team_size": 80, "industry": "B2B", "subindustry": "B2B", "launched_at": 1690091194, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "Germany", "Europe" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lio", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/lio.json", "year_founded": 2023, "city": null, "country": "DE", "linkedin_url": "https://www.linkedin.com/company/lio-ai/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/ask-lio-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8204e1af97e71eaee05a775d2cae5a0c21867fd1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/eeded6685929c3916afb002f7dcb2a4cdc075d6b.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b43e05662f4cd8cbddb5f3a7453a6f6ed2e68a01.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1103944, "full_name": "Vlad Keil", "title": "Founder", "founder_bio": "Vlad is the Founder and CEO of Lio (S23).\n\nHe had a profitable startup by the age of 22. Vladi also co-founded the AI startup \"Gabriel\" back in 2021, that ended up partnering with the German FBI. In his last position he consulted enterprises on procurement.\n\nHe's now on a mission to make procurement managers superhuman.", "is_active": true, "linkedin_url": "https://de.linkedin.com/in/vladimir-keil", "x_url": "https://x.com/keilvlad", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7fdaea579283a19c83bad0844dcc26453e971ecc.jpg" }, { "user_id": 1104049, "full_name": "Lukas Heinzmann", "title": "Founder", "founder_bio": "Lukas is an AI Engineer with a Master's from TUM in AI/ML. He joined as one of the first employees of a startup acquired by Audi to bring AI/ML into mobile Apps. As the technical lead for the myAudi app, he tripled its user base and improved its star rating. Following his entrepreneurial he left this job. He co-founded Gabriel AI to prevent telephone fraud using advanced AI algorithms and is now starting his second venture \"Lio\".", "is_active": true, "linkedin_url": "https://linkedin.com/in/lukas-heinzmann-b96434102", "x_url": "https://twitter.com/butterflock", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/085f3def48c736f5a1f4c445954a9c211b2a0197.jpg" }, { "user_id": 1375634, "full_name": "Till Wagner", "title": "Founder", "founder_bio": "Till is co-founder and COO of Lio. Gained experiences in web & app design and product-building at various based AI-startups, one based in SF. Operational & analytic experiences from projects at Deloitte's biggest German client. Academic excellence: Best in class Bachelor, Master, Scholarships. While working at SAP he failed with buying equipment for his successor with their software, which inspired him to create solutions that people can actually comprehend. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/till-wagner-182ab119a", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4b210c4f4b97a1b907fc8b29268c4892d5b98167.jpg" } ], "jobs": [], "news": [ { "title": "Lio raises $30M from Andreessen Horowitz and others to automate enterprise procurement | TechCrunch", "url": "https://techcrunch.com/2026/03/05/lio-ai-series-a-a16z-30m-raise-automate-enterprise-procurement/", "date": "Mar 05, 2026" } ], "launches": [ { "id": 73397, "title": "askLio - AI-Copilot for procurement teams", "tagline": "Automate free-text requests with LLMs", "body": "\\*\\*TL;DR;\\*\\*\\\nAt [askLio](https://www.asklio.ai/), we use AI to help procurement teams automate free-text requests and guide employees. When an employee at a large enterprise wants to buy something, the procurement process used to take weeks - our AI turns it into hours. \n\nIf you're a procurement leader, [connect with us today.](https://xeffrshdh99.typeform.com/to/Buy5kkeR)\n\n![uploaded image](/media/?type=post&id=73397&key=user_uploads/1103944/fd2938d0-287f-4a6d-995b-37f0b8d034b5)\n\nFrom left to right [Till](https://www.linkedin.com/in/till-wagner-182ab119a/), [Lukas](https://www.linkedin.com/in/lukas-heinzmann-b96434102/) and [Vladi](https://www.linkedin.com/in/vladimir-keil/)\n\n**❌ The Problem**\n\nEmployees at large enterprises have a hard time understanding and following all the procurement rules when they want to buy products or services. This leads to thousands of requests from employees to the procurement team asking to get what they are looking for.\n\nSince many of these requests are coming in as plain text, it was impossible to process them automatically. With the current ways of handling these free-text requests, procurement has been doomed to process every single one manually. \\\n\\\nProcurement teams spend hours of manual work to\n\n* **understand the requirements** of the employee\n* directing spend appropriately to **existing contracts, vendors**, and **catalogs** where possible\n* identifying and fixing **incorrect or missing** information\n* trying to **conduct spend analysis** which is nearly impossible for text requests\n\nThis finally turns procurement into a costly and week-long process. \\\n\\\n💡 **The solution**\n\nWith Generative AI, we enter an era where technology can support procurement teams processing these text requests. \\\n\\\n_In an ideal world, software would automate all the steps:_ Employees could state their request in natural language, specify their demand and immediately see in which catalog they can find the solution or with what vendors existing contracts are already in place. \\\n\\\n_Our software does precisely that._\n\n![uploaded image](/media/?type=post&id=73397&key=user_uploads/1103944/73a05627-03f7-4a49-8e35-df3df27102aa)\n\n\\\nSitting in **MS Teams** or the **P2P-System**: our AI-Copilot reduces cost by freeing up procurement teams from time-hungry tasks by **automatically processing free-text requests.** \\\n\\\nThe AI tackles them and assists in **refining specifications**, taking full **advantage of existing contracts** and **structuring** purchase requirements - **enriching them with e.g. purchase category**.\\\nSince our AI understands text requests, it enables procurement to do **spend analysis** and **category management** within seconds. \\\n\\\n[Schedule a demo](https://www.asklio.ai/) here to see how [Lio’s technology](https://de.asklio.ai/) can help your team scale procurement without scaling headcount.\\\n\\\n🌟 **Our mission**\\\nAfter experiencing the procurement pain firsthand (working at big enterprises like SAP, waiting months to get the things we need) and consulting big firms on procurement - we set our mission on leading the initiative with our AI solution. \\\nWe are addressing the operational excellence need, talent shortage, and effective demand management. Making the greatest impact on cost and risk throughout the whole procurement process.\\\n\\\n**The ask**\n\n* [Book a 15-minute demo](https://xeffrshdh99.typeform.com/to/Buy5kkeR) here or contact us at [founders@asklio.ai](mailto:founders@asklio.ai)\n* Share this post and tell your network about generative AI opportunities in procurement\n* Visit our Website [asklio.ai](https://asklio.ai)", "url": "https://www.ycombinator.com/launches/J5p-asklio-ai-copilot-for-procurement-teams", "votes": 30, "created_at": "2023-07-25T06:11:40.376Z" } ] }, { "id": 28825, "name": "Solve Intelligence", "slug": "solve-intelligence", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cdb4c71ccbddd0ad292fc773c3cfb169d2a4a5ba.png", "website": "https://www.solveintelligence.com/", "all_locations": "London, England, United Kingdom", "long_description": "Solve Intelligence is the AI platform for helping legal professionals with every part of the patent process.\r\n\r\nWith $55M backing from Y Combinator, Microsoft, Thomson Reuters, 20VC, Operator Collective, Visionaries, and others, they have assembled a world-leading team of patent attorneys, AI PhDs, and software developers to build products for patent application drafting, office action responses, invention harvesting, claim charting, infringement analysis, FTO, validity challenges, patent litigation, and more.\r\n\r\nThey are now selling their 100% secure and confidential software to 700+ IP firms and in-house teams across the US, Europe, and Asia (e.g. DLA Piper, Siemens, Perkins Coie, Amgen - see customers https://www.solveintelligence.com/#customers).\r\n\r\nSolve customers are reporting 60-90% efficiency and quality improvements (see testimonials https://www.solveintelligence.com/#testimonials).\r\n\r\nSee a demo today: https://www.solveintelligence.com/contact-us", "one_liner": "AI patent drafting, prosecution, litigation and more for legal teams.", "team_size": 50, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1686701574, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/solve-intelligence", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/solve-intelligence.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/solve-intelligence/", "x_url": "https://twitter.com/solveintel", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/solve-intelligence", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cdb4c71ccbddd0ad292fc773c3cfb169d2a4a5ba.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/666838ac9a7189be89825b612c95e112f9842f3d.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d7b00d669b9d8ec65f923be55429f9ad77758d42.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1367673, "full_name": "Chris Parsonson", "title": "Founder/CEO", "founder_bio": "Chris did his PhD in machine learning at UCL, publishing and winning awards in top AI conferences and journals. He holds an MRes from the University of Cambridge and an MEng from Imperial College London. Prior to founding Solve Intelligence, Chris worked at leading tech organisations, including The Alan Turing Institute, InstaDeep, and Dyson.", "is_active": true, "linkedin_url": "https://linkedin.com/in/christopher-parsonson-381830a3", "x_url": "https://twitter.com/chrisparsonson", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/334eb5455096aacaf763b5eeb81c688fb7efefdc.jpg" }, { "user_id": 1357988, "full_name": "Sanj Ahilan", "title": "Founder", "founder_bio": "Sanj completed his PhD in machine learning at UCL, won awards at top AI conferences, and developed popular open-source code for fine-tuning large language models. Before founding Solve Intelligence, he worked at Magic Carpet AI and Huawei Technologies. He holds an MSci in Physics from the University of Cambridge.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sanjeevan-ahilan-844b33137", "x_url": "https://twitter.com/sanjeevanahilan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e05b52c5e1b0c55a4c8f691c334c30e23aa9589a.jpg" }, { "user_id": 1367618, "full_name": "Angus Parsonson", "title": "Founder", "founder_bio": "Angus completed his MEng degree in computer science at the University of Bristol, during which he received a cyber security scholarship from GCHQ. He has since worked as a Quantitative Developer at Coremont LLP, a spin-off from hedge fund Brevan Howard.", "is_active": true, "linkedin_url": "https://linkedin.com/in/angus-parsonson-24935914b", "x_url": "https://twitter.com/angusparsonson", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3e5a659cc029201df633f327e3d0381bd3a7d31e.jpg" } ], "jobs": [ { "id": 63441, "title": "Full-Stack Engineer (Back-End Leaning)", "url": "https://www.ycombinator.com/companies/solve-intelligence/jobs/nUSCIrz-full-stack-engineer-back-end-leaning", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "PostgreSQL", "Python", "React", "TypeScript" ] }, { "id": 66829, "title": "Legal and Product Engineer", "url": "https://www.ycombinator.com/companies/solve-intelligence/jobs/SfeAq7J-legal-and-product-engineer", "location": "London, England, GB / New York, NY, US / Munich, Bavaria, DE", "type": "Full-time", "role": "Legal", "role_type": null, "salary_range": "$100K - $220K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 68959, "title": "AI Engineer", "url": "https://www.ycombinator.com/companies/solve-intelligence/jobs/xjMVxGq-ai-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$100K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "PostgreSQL", "Python" ] }, { "id": 76344, "title": "Full-Stack Engineer (Front-End Leaning)", "url": "https://www.ycombinator.com/companies/solve-intelligence/jobs/Cf3UDWf-full-stack-engineer-front-end-leaning", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$100K - $220K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "React", "TypeScript" ] }, { "id": 78583, "title": "Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/solve-intelligence/jobs/Go8FRvV-infrastructure-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "$120K - $250K", "equity_range": "", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [ "PostgreSQL", "Python", "Docker", "Software Architecture", "Software Security" ] }, { "id": 80355, "title": "Account Executive/GTM", "url": "https://www.ycombinator.com/companies/solve-intelligence/jobs/tdq6MfC-account-executive-gtm", "location": "London, England, GB", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 84096, "title": "Growth Engineer", "url": "https://www.ycombinator.com/companies/solve-intelligence/jobs/318ShlU-growth-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $250K", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 87186, "title": "Account Executive/GTM", "url": "https://www.ycombinator.com/companies/solve-intelligence/jobs/28q1fFq-account-executive-gtm", "location": "New York, NY, US / London, England, GB", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $200K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 88982, "title": "Sales Development/GTM", "url": "https://www.ycombinator.com/companies/solve-intelligence/jobs/Jc8kl4j-sales-development-gtm", "location": "London, England, GB / New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$90K - $130K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89229, "title": "Motion Designer", "url": "https://www.ycombinator.com/companies/solve-intelligence/jobs/9BlPXqm-motion-designer", "location": "London, England, GB / New York, NY, US", "type": "Full-time", "role": "Design", "role_type": "Animation", "salary_range": "$90K - $150K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Figma", "Adobe After Effects" ] }, { "id": 99319, "title": "Events Lead", "url": "https://www.ycombinator.com/companies/solve-intelligence/jobs/NxzWOjb-events-lead", "location": "London / New York", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "", "experience": "5+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 99320, "title": "Full Stack (Back-End Leaning)", "url": "https://www.ycombinator.com/companies/solve-intelligence/jobs/BtpHVam-full-stack-back-end-leaning", "location": "London", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 99321, "title": "Legal and Product Engineer (Patent Litigator)", "url": "https://www.ycombinator.com/companies/solve-intelligence/jobs/ZJibBPa-legal-and-product-engineer-patent-litigator", "location": "London / Munich / New York", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 99322, "title": "Customer Support Specialist", "url": "https://www.ycombinator.com/companies/solve-intelligence/jobs/gYY3T5K-customer-support-specialist", "location": "London", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "£50K - £65K GBP", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 99323, "title": "Customer Support Specialist", "url": "https://www.ycombinator.com/companies/solve-intelligence/jobs/CPXHE82-customer-support-specialist", "location": "New York", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$65K - $95K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 100599, "title": "Financial Operations Lead", "url": "https://www.ycombinator.com/companies/solve-intelligence/jobs/ajtyl6e-financial-operations-lead", "location": "London", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$135K - $200K", "equity_range": "", "experience": "5+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 101126, "title": "AI Engineer", "url": "https://www.ycombinator.com/companies/solve-intelligence/jobs/6Odbr4M-ai-engineer", "location": "London", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 108485, "title": "Legal and Product Engineer (USPTO Examiner Background)", "url": "https://www.ycombinator.com/companies/solve-intelligence/jobs/RdsyMKM-legal-and-product-engineer-uspto-examiner-background", "location": "New York", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $220K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 108684, "title": "Legal Counsel", "url": "https://www.ycombinator.com/companies/solve-intelligence/jobs/5i3wLqV-legal-counsel", "location": "New York", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $220K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 110240, "title": "Data Engineer", "url": "https://www.ycombinator.com/companies/solve-intelligence/jobs/8jpb0DK-data-engineer", "location": "London", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 112060, "title": "Legal and Product Engineer (Japanese Speaking)", "url": "https://www.ycombinator.com/companies/solve-intelligence/jobs/28N3Eov-legal-and-product-engineer-japanese-speaking", "location": "New York", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $220K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Solve Intelligence Raises $40M Series B to Build AI for Patents and Launches Charts.", "url": "https://www.solveintelligence.com/blog/post/solve-intelligence-raises-40m-series-b-to-build-ai-for-patents-and-launches-charts", "date": "Dec 09, 2025" }, { "title": "Solve Intelligence Raises $12M Series A to Build AI for Patents | Solve Intelligence", "url": "https://www.solveintelligence.com/blog/post/series-a-funding-to-build-ai-for-patents", "date": "Apr 09, 2025" }, { "title": "Solve Intelligence raises fresh $12M to bring AI to IP, patent workflows | TechCrunch", "url": "https://techcrunch.com/2025/04/09/microsoft-backs-solve-intelligence-in-12m-series-a-funding/", "date": "Apr 09, 2025" }, { "title": "Solve Intelligence helps attorneys draft patents for IP analysis and generation | TechCrunch", "url": "https://techcrunch.com/2023/11/28/solve-intelligences-ai-solution-helps-attorneys-draft-patents-for-ip-analysis-and-generation/", "date": "Nov 28, 2023" } ], "launches": [ { "id": 72326, "title": "💡 Solve Intelligence - Write patents with AI", "tagline": "Reduce the cost and time to write patents.", "body": "**Tl;dr:** At [Solve Intelligence](https://www.solveintelligence.com/?utm_source=YC+Launch&utm_medium=Main&utm_campaign=Launch&utm_id=SolveIntelligence) we use AI to help you write high-quality patents quickly. We do this by providing a simple in-browser document editor that any patent attorney or inventor can start using straight away. [Connect with us today](https://www.solveintelligence.com/contact?utm_source=YC+Launch&utm_medium=Contact&utm_campaign=Launch&utm_id=SolveIntelligence).\n\n---\n\n![uploaded image](/media/?type=post&id=72326&key=user_uploads/1367673/ba232c74-2217-4a90-b551-4137904874ed)\n\nFrom left to right: [Solve Intelligence](https://www.solveintelligence.com/?utm_source=YC+Launch&utm_medium=Main&utm_campaign=Launch&utm_id=SolveIntelligence) co-founders [Angus](https://www.linkedin.com/in/angus-parsonson-24935914b/), [Sanj](https://www.linkedin.com/in/sanj-ahilan-844b33137/), and [Chris](https://www.linkedin.com/in/chris-parsonson-381830a3/) (Angus’ brother) in San Francisco.\n\n---\n\n### **What are we building?**\n\nWe are building an in-browser document editor powered by AI to help inventors and attorneys write patents. Our product can help with all stages of the patent life cycle, from drafting and filing to prosecution and opposition. For further details on what our product offers, refer to [this analysis on the top 5 AI tools for patents.](https://www.solveintelligence.com/blog-posts/top-patent-analysis-tools)\n\n### **Product Snapshot**\n\nGiven your tech and prior art, use AI to draft a patent:\n\n![uploaded image](/media/?type=post&id=72326&key=user_uploads/1367673/f221a3d5-21ff-4171-88e3-01301a84b9a7)\n\nChat with the AI and use it to help edit the patent:\n\n![uploaded image](/media/?type=post&id=72326&key=user_uploads/1367673/6707811a-c00a-4eb9-a729-94827e8bfefa)\n\n### **Why are we building it?**\n\nFrom drafting to grant, a worldwide patent costs $60K on average and can take years to obtain. If the patent is contentious, then costs can get much higher ($100K-1M+). It's a slow, complicated, and expensive process which can block innovation and delay time-to-market.\n\nThere's a need for software solutions which can make the patenting process more efficient.\n\nMost existing intellectual property software focuses on _search_ (finding related technology). However, the _generative_ steps of drafting a patent and responding to examiners and competitors make up 90%+ of the costs.\n\nEnter AI, which now has the ability to help with generative patent tasks. At Solve Intelligence, we have assembled a world-class team of AI researchers and software developers. Our goal? To leverage and build on recent AI breakthroughs to transform the patenting process.\n\n### **Who are we building for?**\n\nOur product is for any tech company or inventor striving for swift, high-quality patents at below-market rates. It’s also a valuable tool for patent law firms looking to increase their bandwidth, engage more personally with their clients, and ensure that the patents they file are of high quality. For further details on how our product can help with patent drafting, refer to [this analysis of the top 6 patent drafting tools](https://www.solveintelligence.com/blog-posts/best-ai-patent-drafting-tools).\n\n### **Our ask**\n\n[Contact us](https://www.solveintelligence.com/contact-us) to:\n\n* **book a full demo** and **give us your feedback**\n* connect us to **patent attorneys** in your network\n* connect us to **tech inventors** in your network\n\n---\n\n---", "url": "https://www.ycombinator.com/launches/IoY-solve-intelligence-write-patents-with-ai", "votes": 47, "created_at": "2023-06-16T16:55:16.298Z" } ] }, { "id": 28826, "name": "Talc", "slug": "talc", "former_names": [ "Homey" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c40e7adcc07e4afaf4ca793746aeb4e609ac24b0.png", "website": "https://talc.ai", "all_locations": "Seattle, WA, USA", "long_description": "Talc helps hospitals pull events and data out of messy EHRs.", "one_liner": "Event extraction for Medical Researchers", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1689292886, "tags": [ "AI" ], "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/talc", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/talc.json", "year_founded": 2023, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/talc-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c40e7adcc07e4afaf4ca793746aeb4e609ac24b0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1274021, "full_name": "Matt Lee", "title": "Founder", "founder_bio": "Ex-Airbnb, Ex-FB SWE.\n\nAt Facebook I worked on Election Integrity, using graph algorithms to detect coordinated activity, from foreign election interference to terrorist propaganda.\n\nAt Airbnb I worked on moonshots that will (maybe) ship late 2023.\n\nWhen I'm not working you can catch me snowboarding or climbing!", "is_active": true, "linkedin_url": "https://linkedin.com/in/mattllee", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5e17e7344f2e6be40a57248a2ad39aa63755dcd9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73260, "title": "Talc: Debugger for your LLMs", "tagline": "Replay sessions, tweak inputs, and take the guesswork out of AI debugging.", "body": "TL;DR:\n\n_We make it easy to debug and test LLM systems. Understand your AI by replaying sessions line by line and setting rules for it to follow moving forward._\n\nHey Everyone! We’re Matt & Max, the team behind [Talc.AI](https://talc.ai?utm_source=yc&utm_medium=referral&utm_campaign=launch-yc)\n\n![uploaded image](/media/?type=post&id=73260&key=user_uploads/1274021/e0fc1906-3bf6-4a91-9c68-c91f1a5b5b46)\n\n**Matt**: I’ve spent the last 6 years engineering at Facebook and Airbnb. At FB I worked on Election Integrity, developing new ways to detect foreign interference campaigns. Hit me up if you want to hear some war stories!\n\n**Max**: I found my passion for tech early, teaching myself to code when I was 13. This journey most recently brought me to being the technical lead for a 30 person org at Facebook that reviewed every major product launch. I love the challenge of trying to understand complex systems and want to help people do the same with Talc.\n\nWe’ve been friends for almost a decade and couldn’t be more excited to be doing this together.\n\n### The Problem\n\nDeveloping real LLM systems is still hard. Prompt engineering is full of trial and error, and debugging your chain and regression testing is a painful manual process.\n\n### The Solution\n\nReplay any session your AI has had and tweak it until it's perfect. No more copy and pasting into a playground – re-run your sessions exactly as they happened and deeply understand their possible outputs. Have a bug on message 20? Hop into that context immediately and start fixing it.\n\n![](https://lh6.googleusercontent.com/A8PxlLmIyUlxmpADBV6WOisxmZAZFraHnniUGf52CmR3IEPKY-mNdz_q3gTNMuD_EsJWu9Rhn25kfDR4Li5z_7mipCkugQOFCWjC_c9rG8q_jkEd0PGw19cf1kt1OyFLZeMAegwK0aNNo-qK2XzEVRI)\n\n> _Left: Walk through your AI message logs_\n\n> > _Right: Edit the inputs and prompts that went into each message, all auto-populated for you_\n\n![](https://lh4.googleusercontent.com/sv7qlXTg598CcU5TY_v3uN2tNqiQgEW9PwW6n5YrQgozYubSYIiEdlbhXZGKfdAxI4aL8AZ48KhMDxbT8xWyNNDeQcxZKHFlAQkq95-Wa93jVlmoTrr5Wmh0x1awwrl0elHkZa8CcPXvJpvaGhysw6k)\n\n_Test changes against your saved use cases for regression testing_\n\n**What we’re asking**\n\n* Is LLM debugging & testing holding you back? **Reach out to us** at [talc.ai](https://talc.ai?utm_source=yc&utm_medium=referral&utm_campaign=launch-yc) or [book time directly on our calendars](https://calendly.com/_mattlee/intro-to-talc-ai)!\n* Do you know anyone working on LLMs in production? We’d love to learn from them! [Help us get connected](mailto:founders@talc.ai?subject=Introducing%20you%20to%20the%20Talc%20AI%20team).\n* Share us with anyone who spends a lot of time debugging LLMs\n * _Blurb_: [Talc.ai](https://talc.ai?utm_source=yc&utm_medium=referral&utm_campaign=launch-yc) launched an LLM debugger so you don’t have to copy context into openai playground or jupyter notebooks any more. Reach out via [founders@talc.ai](mailto:founders@talc.ai).", "url": "https://www.ycombinator.com/launches/J3c-talc-debugger-for-your-llms", "votes": 28, "created_at": "2023-07-20T16:36:00.133Z" } ] }, { "id": 28827, "name": "Airgoods", "slug": "airgoods", "former_names": [ "Stack" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d261d8dfa76354809d8e5792b2d21ef5d258f8d5.png", "website": "https://airgoods.com/", "all_locations": "New York City, NY, USA", "long_description": "Trusted by independent grocers across America, Airgoods is the AI-native distributor transforming how stores discover, order, and sell the products their customers want. \r\n\r\nBy combining proprietary data with automation across discovery, purchasing, receiving, and merchandising, Airgoods gives independent grocers the intelligence and operating leverage once reserved for the largest retail chains.", "one_liner": "The modern distributor for grocers.", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Retail", "launched_at": 1689699732, "tags": [ "Grocery", "Supply Chain", "Food & Beverage" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Retail" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/airgoods", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/airgoods.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/airgoods", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d261d8dfa76354809d8e5792b2d21ef5d258f8d5.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": 797737, "full_name": "Aaron Farr", "title": "Founder", "founder_bio": "Building Airgoods to modernize food & beverage distribution.\n\nStudied Econ at Yale.", "is_active": true, "linkedin_url": "https://linkedin.com/in/aaron-farr", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/16327a5a3cafd08d3d5d0eb1162a036e0fe0ede2.jpg" }, { "user_id": 1346042, "full_name": "Paolo Carroll", "title": "Founder", "founder_bio": "From Brazil, went to Yale, and now building for specialty food stores.", "is_active": true, "linkedin_url": "https://linkedin.com/in/paolo-antici-carroll-8b0241192", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c36720ddd994d78aa0f254bcbde1001feeb1ad8c.jpg" }, { "user_id": 1177613, "full_name": "Elian Haddock", "title": "Founder", "founder_bio": "Yale '22", "is_active": true, "linkedin_url": "https://linkedin.com/in/elianhaddock", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f749d0c2fe45b49395390683be1bf48b57eb1ab4.jpg" } ], "jobs": [ { "id": 93967, "title": "Growth - Retailers", "url": "https://www.ycombinator.com/companies/airgoods/jobs/eHjNGRk-growth-retailers", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$90K - $150K", "equity_range": "0.01% - 0.20%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 96320, "title": "Software Engineer - Full Stack", "url": "https://www.ycombinator.com/companies/airgoods/jobs/apQff1i-software-engineer-full-stack", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $220K", "equity_range": "0.01% - 0.20%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 73226, "title": "Airgoods – the wholesale marketplace for food & beverage", "tagline": "We connect specialty food stores with their next best selling products", "body": "**TLDR:** [**Airgoods**](https://airgoods.com/) is a wholesale marketplace that makes it easy for specialty food stores to buy their inventory in one place. Today, we focus on connecting these stores with over 1,000 non-alcoholic and functional beverage products.\n\nHi everyone! We’re Aaron, Elian and Paolo – the team behind Airgoods. We’re on a mission to level the playing field for specialty food stores by offering tools previously only available to big box chains.\n\n![uploaded image](/media/?type=post&id=73226&key=user_uploads/797737/38498184-4bb5-425f-8025-35e02960e710)\n\n### 🤔 **The Problem**\n\n* **Specialty food stores struggle to stay up to date on new and trending products.** Today, most rely on social media platforms like Instagram for discovery. Once they see a product they like, they send the brand a DM to ask for a sample – which can take weeks to months to receive.\n* **To purchase inventory, they have to manage dozens of direct brand relationships.** That means placing orders and coordinating payments over email, phone calls and texts.\n* **Best sellers often go out of stock.** At most specialty stores, reorders only happens when the buyer sees that the shelf is empty. This means there are days – if not weeks – that go by with best sellers being out of stock.\n* **Most brands don’t have the resources to run an in-house wholesale team.** They primarily rely on inbounds, and many relationships end because of limited resources to maintain the account over email, Instagram DMs, and texts.\n\n### **🧰 Our Solution**\n\nAirgoods makes it easy for specialty food stores to discover, sample and order inventory in one place. How?\n\n* **Curated marketplace views that align with store type.** This industry is unique in that the product mix is homogenous within the same store type. For example: an specialty cheese shop in New York offers the same kind of products as one in San Francisco. This allows us to show a business all of the products they want – and nothing they don’t – with high accuracy. For example, today liquor stores and NA bottle shops see the following.\n\n![uploaded image](/media/?type=post&id=73226&key=user_uploads/797737/653e9c5f-f193-4070-9c93-b6da89fddb52)\n\n* **Simplified sample requests.** On Airgoods, stores receive samples in days instead of weeks. We do this by making it easy for brands to track and fulfill samples with in-platform tools that embed the process into their daily order fulfillment workflows. By streamlining this process, we also help brands boost sample to order conversion rates.\n* **Data-driven recommendations and insights.** We provide our buyers with insight into what products are selling best in similar stores around the country. This adds transparency for an industry that traditionally relies on word-of-mouth recommendations.\n\n![uploaded image](/media/?type=post&id=73226&key=user_uploads/797737/015ce154-6e52-4ac5-b3ce-058e77460b29)\n\nWe also integrate with Shopify, which allows brands to fulfill orders from Airgoods without having to onboard to a new sales channel.\n\n### **🐶 Who are we?**\n\nWe are three Yale alums who have been close friends since our first year of college. Before starting Airgoods, Aaron and Elian worked together at an emerging VC fund in NYC, and Paolo and Elian were on Yale’s mens soccer team.\n\nAaron’s dad owns a brick and mortar shop in Maine, and he saw how challenges around ordering inventory put his small store at a major disadvantage to big box chains with dedicated buying teams.\n\n### **🙂 Our Ask**\n\n* Do you have any favorite non-alcoholic or functional beverage brands? Let us know! We’d love to onboard them [**🥂**](https://emojipedia.org/clinking-glasses/)\n* Connect us to anyone you may know in the specialty grocery / wholesale space (store owners, brand owners, service providers) – we’d love to chat at [**founders@airgoods.com**](mailto:founders@airgoods.com)", "url": "https://www.ycombinator.com/launches/J34-airgoods-the-wholesale-marketplace-for-food-beverage", "votes": 70, "created_at": "2023-07-19T16:18:15.129Z" } ] }, { "id": 28829, "name": "DataShare", "slug": "datashare", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a781f87fe1bbe72d69bfd79f2391a43f15cb2f9b.png", "website": "http://datashare.co/", "all_locations": "Austin, TX, USA; Remote", "long_description": "DataShare is a data-as-a-service platform that lets you embed charts, dashboards and exports directly into your product. For example, if you run an accounting startup, DataShare would enable you to embed a full profit and loss dashboard, with downloadable statements. DataShare is backed by an enterprise-grade data warehouse, and can be implemented in fewer than 20 lines of code. \r\n", "one_liner": "Embed charts, dashboards and exports in your app", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1693343113, "tags": [ "Analytics", "Data Engineering", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/datashare", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/datashare.json", "year_founded": 2023, "city": "Austin", "country": "US", "linkedin_url": "https://www.linkedin.com/company/withdatashare/about/", "x_url": "https://twitter.com/WithDataShare", "fb_url": null, "cb_url": null, "github_url": "https://github.com/datashare-public", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a781f87fe1bbe72d69bfd79f2391a43f15cb2f9b.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": 8960, "full_name": "Brian Brunner", "title": "Founder", "founder_bio": "Founder of DataShare, previously was the engineering manager for the team at Stripe that built Sigma and Data Pipeline.", "is_active": true, "linkedin_url": "https://linkedin.com/in/bbrunner", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b55587837d10e3096bf4a8abd69d08dec332f01.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 74483, "title": "DataShare: Embed customer-facing charts, dashboards and exports directly in your product", "tagline": "Backed by an enterprise data warehouse and just 20 lines of code to integrate.", "body": "Hey there! I’m Brian from [DataShare](https://datashare.co/).\n\nDataShare is a data-as-a-service platform that lets you embed charts, dashboards and exports directly into your product. For example, if you run an accounting startup, DataShare would enable you to embed a full profit and loss dashboard, with downloadable statements. It’s backed by an enterprise-grade data warehouse and can be implemented in fewer than 20 lines of code.\n\n[Book some time](https://calendly.com/bb-datashare/datashare-intro-call) if you want to learn more. We can walk through all DataShare has to offer and give you an idea of what an integration would look like for your tech stack.\n[](https://www.youtube.com/watch?v=LNZGCl7lQMU)\n# Background\n\nOver the past few years, SaaS and financial services companies have been pushed by their customers to provide better business intelligence tooling. These systems are complex to design, hard to build, expensive to run, and challenging to scale. I've seen numerous examples of companies doing things like operating a database per customer or running 10+ hour-long pre-computation jobs just to deliver customer-facing data products.\n\nHowever, during my time at Stripe, I saw a different model. I ran the engineering team that built [Data Pipeline](https://stripe.com/data-pipeline) and [Sigma](https://stripe.com/sigma), and due to Stripe's infrastructure, we were able to rapidly deliver new products that helped to retain some of Stripe’s largest customers.\n\nDataShare is packaging up what I learned, and delivering that knowledge to the rest of the market.\n\n# The Product\n\nDataShare is a platform that combines a scalable, enterprise-grade data warehouse with a front-end framework for integrating business intelligence tools directly into your product.\n\nCharts and dashboards can be built with a point-and-click UI and can be integrated with just two lines of code.\n\n![uploaded image](/media/?type=post&id=74483&key=user_uploads/8960/57e3c582-7c6a-4595-9e20-efb8550438c5)\n\nYou can also skip the UI if you want. Visualizations can be built using DataShare’s AI-powered assistant.\n\n![uploaded image](/media/?type=post&id=74483&key=user_uploads/8960/3520b630-6afd-4725-9e9f-9bad448c8ee4)\n\nDataShare supports more than 20 types of data sources, including PostgreSQL, MySQL, and MongoDB, and is backed by a full data warehouse.\n\n# About DataShare\n\n[Brian](https://www.linkedin.com/company/withdatashare/) - I spent the past 4 years at Stripe and the past year and a half as the eng manager for [Data Pipeline](https://stripe.com/data-pipeline) and [Sigma](https://stripe.com/sigma). My team and I supported some of Stripe’s largest customers like DoorDash, Slack, Zoom, and Lime, helping keep them happy and run crucial financial workflows.\n\n# Ask\n\nIf you are thinking about building our customer-facing business intelligence tools, or you have a customer-facing BI stack you don’t like, reach out at [hello@datashare.co](mailto:hello@datashare.co) or grab [time to chat](https://calendly.com/bb-datashare/datashare-intro-call).\n\nThanks!\n\nBrian from DataShare", "url": "https://www.ycombinator.com/launches/JNL-datashare-embed-customer-facing-charts-dashboards-and-exports-directly-in-your-product", "votes": 35, "created_at": "2023-08-29T20:31:46.784Z" } ] }, { "id": 28830, "name": "Revamp", "slug": "revamp", "former_names": [ "Revamp.ai", "Revamp AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f90d336604524c2f01492214fdeed5ec5541815.png", "website": "https://www.getrevamp.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Revamp helps eCommerce brands and agencies understand customer behavior by creating smarter segments for targeted email and paid acquisition campaigns.", "one_liner": "AI-Powered Customer Segmentation for eCommerce", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1689724181, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/revamp", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/revamp.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/revamp-ai", "x_url": "https://twitter.com/getrevamp_ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Revamp-AI", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f90d336604524c2f01492214fdeed5ec5541815.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e47120ed0609503fca186c1136efd16f443f7347.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/aa926d465f12668c9adfd7f96449cbfbd70b5690.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1374641, "full_name": "Stephen Campbell", "title": "Founder", "founder_bio": "USC | Ex-Airtable", "is_active": true, "linkedin_url": "https://linkedin.com/in/stephenwcampbell", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5e381565b2d31991ca9d1aba63771af2a60c020a.jpg" } ], "jobs": [ { "id": 78257, "title": "Founding Engineer - AI infra & Data Pipeline", "url": "https://www.ycombinator.com/companies/revamp/jobs/ENNF9pa-founding-engineer-ai-infra-data-pipeline", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $250K", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "JavaScript", "Kubernetes", "Python", "TypeScript", "Elasticsearch", "Machine Learning", "Software Architecture", "Data Warehousing", "Data Modeling", "Next.js" ] }, { "id": 81579, "title": " Part-Time Vibe Marketer Fractional", "url": "https://www.ycombinator.com/companies/revamp/jobs/UInNEQM-part-time-vibe-marketer-fractional", "location": "San Francisco, CA, US", "type": "Contract", "role": "Marketing", "role_type": null, "salary_range": "$25 - $40 / hourly", "equity_range": "0.01% - 0.11%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Marketing design" ] } ], "news": [], "launches": [ { "id": 73292, "title": "📈 Revamp: Smarter customer segmentation for eCommerce", "tagline": "Get to know your customers, for real.", "body": "## **⏳ TL;DR:**\n\nRevamp helps eCommerce brands and agencies understand customer behavior by creating smarter segments for targeted email and paid acquisition campaigns.\n\n**😣 What’s the problem?**\n\nEmail marketers and paid media buyers struggle to understand customer behavior because:\n\n* eCommerce data is fragmented across many platforms\n* Most brands and agencies are non-technical and struggle to stitch data together\n* Even if they stitch the data, analyzing it and acting on it is a struggle\n\nAs a result, email marketers default to generic customer segments and media buyers resort to using the bare minimum in their acquisition campaigns.\n\nThis translates to millions of unpersonalized emails sent every day and millions of dollars in wasted ad spend on mediocre customer segments.\n\n**👕 Why are we solving this?**\n\n![uploaded image](/media/?type=post&id=73292&key=user_uploads/1323620/c904f41c-40ee-4988-aa9c-271a0d7b0a77)\n\nWe’re [Amin Akhtar](https://www.linkedin.com/in/amin-akhtar-15048/) and [Stephen Campbell.](https://www.linkedin.com/in/stephenwcampbell/) We’ve been friends for years and will be co-founders for many more to come!\\\n\\\nLet me (Amin) tell you the story of how we got here 🙂 \\\n\\\nAs Chief Revenue Officer of a bootstrapped D2C brand, I found myself spending time I didn’t have wrangling customer data across an ever-expanding tech stack.\\\n\\\nAs a result, I, like most D2C marketers, resorted to using basic customer segments like “purchased in the last 30 days” in campaigns – that too without really knowing anything about their behavior besides the obvious. \\\n\\\nThe outcome? Declining revenue from over email and dropping conversion across paid acquisition campaigns that kept me up at night.\\\n\\\nTo solve my problem I built a prototype (read: series of massive spreadsheets) to create better segments which drove a near-instant 5% increase in revenue from email campaigns + improved performance on the acquisition side.\\\n\\\nAfter hearing my pain points for (at least) the hundredth time, Stephen decided to partner up with me and we got to building. Now we’re actively realizing our vision of a better future for eCommerce retention.\n\n**🔎 How are we solving it?**\n\nRevamp intelligently stitches data across Klaviyo and Shopify, automatically creates valuable customer segments and calculates metrics and insights specific to that segment. \\\n\\\nWe then give users the ability to flexibly analyze data and observe differences in behavior in seconds - a task that would’ve taken them days if not weeks to do without it!\n\n![uploaded image](/media/?type=post&id=73292&key=user_uploads/1323620/2eebc8ac-5659-44cd-9ead-cad50cb0fa8b)\n\nFinally, users can push our segments to Klaviyo with one click and Revamp does the heavy lifting of making sure everything’s synced up!\n\n![uploaded image](/media/?type=post&id=73292&key=user_uploads/1323620/a13b0278-c93c-4f6d-bc91-3e90cb23da5c)\n\n**🙏 How can you help us?**\n\n* Drop us a follow on [LinkedIn](https://www.linkedin.com/company/revamp-ai/) and follow our journey!\n* We’d greatly appreciate any intros to D2C brands, eCommerce agencies or anyone looking to improve their email marketing!\n\nIf you know anyone in the space feel free to reach out at [founders@getrevamp.ai](mailto:founders@getrevamp.ai)", "url": "https://www.ycombinator.com/launches/J48-revamp-smarter-customer-segmentation-for-ecommerce", "votes": 43, "created_at": "2023-07-21T15:16:54.213Z" } ] }, { "id": 28835, "name": "Synch", "slug": "synch", "former_names": [ "Magik", "UseMagik", "Magik" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b85605f9b28a80bdb193d6c1b556bbc510adc0b6.png", "website": "https://www.withsynch.com/", "all_locations": "New York City, NY, USA", "long_description": "Your Sales and Sales Ops team in a unified platform. No setup, Salesforce SSO and go.", "one_liner": "Supercharging Sales", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1690569248, "tags": [ "Generative AI", "SaaS", "B2B" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/synch", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/synch.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b85605f9b28a80bdb193d6c1b556bbc510adc0b6.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": 1124702, "full_name": "Daniel Ruiz", "title": "Founder", "founder_bio": "CEO at Synch. Previously Compound & Divvy Homes.", "is_active": false, "linkedin_url": "https://linkedin.com/in/daniel-ruiz-a73818aa", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d27678955f1f3fa8a481145c5a5a7e061ca9afeb.jpg" }, { "user_id": 236293, "full_name": "Asad Dar", "title": "Founder", "founder_bio": "", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/asadsdar/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a3ad85bfe7b70c8229dcb1ce85d61cf8494a72b4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 79313, "title": "Synch: Unified sales stack", "tagline": "Your all-in-one revenue platform. No setup required, Salesforce SSO and go.", "body": "Hey everyone, we’re [Asad](https://www.linkedin.com/in/asadsdar/) and [Daniel](https://linkedin.com/in/daniel-ruiz-a73818aa) from [Synch](https://www.withsynch.com/)!\\\n[ ](https://www.youtube.com/watch?v=PiHGtnI5qps)\n\n# What is Synch?\n\nSynch is a unified sales platform for both your Sales and Sales Ops teams. We work out of the box with Salesforce with no implementation time required.\n\n# **The World Today**\n\nRevenue tech is incredibly fragmented. Almost everyone uses Salesforce, but they don’t build auxiliary products well. This has led to a long tail of point-solution companies that only handle tiny portions of the sales team’s workflows. You buy one product for forecasting, one for pipeline management, another for lead routing, etc.\n\nAdditionally, even though all these point solutions pull customer data from a common spot (Salesforce), none of them \"talk to each other.\"\n\nWe are building a company that gives you each of those SKUs while also giving you the tools to manage your SFDC environment. We want you to spend less time worrying about your tools and systems and more time worrying about your leads and prospects.\n\nIn our previous roles, it became increasingly clear that more time was spent on non-revenue generating activities than selling. Sales leadership spends an inordinate amount of time managing their tech stack, evaluating new vendors, and training their team on using tools - all at the expense of closing deals. \n\n# **Our Solution**\n\n**For your Sales team**, we offer many different SKUs with a shared analytics suite so leaders can spend less time evaluating multiple vendors. Today, we offer forecasting, deal review, pipeline management, alerts, lead assignment, and other features that require zero implementation time. We share data between these products so information from our dashboarding tool (AE demo conversion rates) can automatically adjust your round-robin setup in your lead routing tool — \"Turn my round robin into a 55-45 in favor of Tommy because he has a better close rate over the last two weeks\", as an example.\n\n**On the SalesOps side**, we provide you with tools to manage and maintain your SFDC instance. You can turn plain-text inputs into built-out Apex Code or flows, get robust dashboards with only a few clicks, and manage your Salesforce schema without ever needing to go into Salesforce.\n\n**All of this works out of the box with SFDC. Just SSO & Go.**\n\n**Ask**\n\n[Feel free to grab time directly on my calendar here](https://calendly.com/danielsynch) if you want to learn more, or check out our blog post: [https://www.withsynch.com/blog/announcing-synch.](https://www.withsynch.com/blog/announcing-synch)", "url": "https://www.ycombinator.com/launches/KdF-synch-unified-sales-stack", "votes": 15, "created_at": "2024-03-12T16:09:27.955Z" }, { "id": 73639, "title": "Magik: Your AI-powered Salesforce admin", "tagline": "Spend less time managing your CRM, and more time running your business", "body": "Hey everyone! We’re Asad Dar and Daniel Ruiz from [Magik](https://www.usemagik.com/)!\n\nMagik automates Salesforce workflows and data reports using AI, allowing you to get insights from and build your CRM in a fraction of the time.\n\n![uploaded image](/media/?type=post&id=73639&key=user_uploads/1124702/5bcc28c8-1998-4ebe-bcec-6a22a31ab085)\n\n![uploaded image](/media/?type=post&id=73639&key=user_uploads/1124702/846cf470-60c1-47cf-b404-a5d6e28988b2)\n\n# **Why we built Magik**\n\nSalesforce is complicated!\\\nCRMs and the customer data inside are essential for companies, yet most people don’t have experience with them. \n\nJunction objects, validation rules, and record-triggered flows sound confusing, and founders are intimidated. As a result, they turn to individuals with Salesforce certifications and address the problem in two main ways:\n\n1. Hire a consultancy firm for $100-$200/hr. \n 1.  Your company hires an expensive consultant with misaligned incentives on how quickly the work should get done.\n2. Hire an FTE\n\n**Both of these solutions are slow to implement and expensive to maintain.**\n\n# **Our Solution**\n\nWe leverage GPT models to streamline, simplify, and automate Salesforce workflows so that anyone can do the work of an expert-level RevOps employee. Our product allows users to build in Salesforce 15-25X quicker than before and receive recommendations they can automatically enable.\n\n# **How does it work?**\n\n* 🔗 **Connect** - Use Salesforce SSO to connect your environment to Magik.\n* 📩 **Get Recommendations** - Once connected, Magik will make suggestions based on the event data in your environment.\n* ✅ **Take action** -  Use natural language to describe your desired actions, and let Magik build them for you. Whether pulling data queries, automating workflows, or creating data visualizations, Magik helps you get it done in a fraction of the time.\n\n ![uploaded image](/media/?type=post&id=73639&key=user_uploads/1124702/9b6beba2-25ff-4593-9ee2-71c73dd49de4)\n\n\n![uploaded image](/media/?type=post&id=73639&key=user_uploads/1124702/1b3907da-61f7-4969-b675-f9a0ab32292f)\n\n# **Ask**\n\nWe’d love to hear from you! \n\nIf you currently use Salesforce or are considering it in the future, we could save you a significant amount of time and money 🙂, and ensure your CRM setup is perfect for your business.\n\n\\\nYou can email [founders@usemagik.com](mailto:founders@usemagik.com) for more information, grab time for a demo [here](https://calendly.com/danielmagik), and check out our [website](https://www.usemagik.com/).", "url": "https://www.ycombinator.com/launches/J9j-magik-your-ai-powered-salesforce-admin", "votes": 13, "created_at": "2023-08-01T14:52:06.353Z" } ] }, { "id": 28836, "name": "CORE", "slug": "heysol", "former_names": [ "Poozle", "Mira", "Tegon", "Sigma", "SOL" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9d0fae4f448de789e718cb96878197c7ecc29e2f.png", "website": "https://getcore.me", "all_locations": "Bengaluru, KA, India", "long_description": "CORE is your AI personal assistant that learns who you are, connects to your apps, and does the work before you ask. \r\n\r\nOpen source. Self-hostable. Fully yours.", "one_liner": "Your AI butler that understands you really well and proactively acts…", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1687596955, "tags": [ "Developer Tools", "Generative AI", "SaaS", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "India", "South Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/heysol", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/heysol.json", "year_founded": 2025, "city": "Bengaluru", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/getcore-memory", "x_url": "https://x.com/getcorememory", "fb_url": null, "cb_url": null, "github_url": "https://github.com/RedPlanetHQ/core", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9d0fae4f448de789e718cb96878197c7ecc29e2f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1359393, "full_name": "Harshith Mullapudi", "title": "Founder", "founder_bio": "Previously worked as a software engineer at Airbyte. I also worked as a founding engineer at Velocity (a Series A startup), where I built customer-facing dashboards and data pipelines.", "is_active": true, "linkedin_url": "https://linkedin.com/in/harshithmullapudi", "x_url": "https://twitter.com/harshithb4h", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/625bdc37d17f1f3c03c0ee6f79802a136d997b0a.jpg" }, { "user_id": 983234, "full_name": "Manik Aggarwal", "title": "Founder", "founder_bio": "Manik was a Senior Product Manager at Velocity. He scaled Velocity Insights from 0 to 1500 companies.\nPrior to joining Velocity, Manik worked as a Data Scientist at American Express. During his tenure, he built and maintained global credit risk models.", "is_active": true, "linkedin_url": "https://linkedin.com/in/aggarwalmanik", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9f28c70a0143a1d3f19c6a8fb805f9911109928e.jpg" }, { "user_id": 1314855, "full_name": "Manoj Koncha", "title": "Founder", "founder_bio": "Manoj is an Engineering Leader with 7+ years of experience, successfully led data engineering and backend teams at Velocity and Emtropy Labs. At Velocity, he built robust data pipelines, effortlessly handling millions of rows daily basis. He engineered an NLP model that drastically reduced recruitment time.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/manoj-ks/?isSelfProfile=true", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/85ca3d3fc2d70e3b2e2f37ddf08e46e823f011f9.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28837, "name": "Subsets", "slug": "subsets", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef940e88fb60e59b177570256531952d8e4b1322.png", "website": "https://www.subsets.com", "all_locations": "Copenhagen, Denmark", "long_description": "Subsets is the leading lifecycle growth platform for consumer subscription teams.\r\n\r\nWe are building the AI decisioning layer that unifies and powers the existing growth stack, enabling teams to automate and scale lifecycle experimentation, orchestrate personalized user journeys, and measure impact across retention, engagement, and LTV without engineering support.\r\n\r\nTrusted by consumer subscription businesses like The Atlantic, NBCUniversal, Daily Mail, Matas Group, and Hearst.\r\n\r\nSubsets has raised $6.1m and launched out of Y Combinator’s Summer 2023 batch in San Francisco, and is now based in Copenhagen.", "one_liner": "AI-driven Retention Automation for subscription media businesses.", "team_size": 7, "industry": "B2B", "subindustry": "B2B", "launched_at": 1689562154, "tags": [ "Machine Learning", "B2B", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "Denmark", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/subsets", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/subsets.json", "year_founded": 2023, "city": "Copenhagen", "country": "DK", "linkedin_url": "https://linkedin.com/company/subsets", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef940e88fb60e59b177570256531952d8e4b1322.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": 783105, "full_name": "Martin Johnsen", "title": "Founder", "founder_bio": "Martin is the co-founder and CEO of Subsets (S23). Previously worked in management consulting helping large organizations scale AI initiatives across different business functions and industries. Holds an MSc in Mathematical modeling from The Technical University of Denmark. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/martin-johnsen-subsets", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0dc8255451fa83b84ca36787d84578cde1f78842.jpg" }, { "user_id": 868323, "full_name": "Oliver Brandt", "title": "Founder", "founder_bio": "Oliver is the co-founder and CTO of Subsets.com (S23).", "is_active": true, "linkedin_url": "https://dk.linkedin.com/in/oliver-brandt-93b1b8110", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e0abfb84be9b3b8a10eaf29f8fcd222a31499bf5.jpg" }, { "user_id": 1190102, "full_name": "Nikolai Skelbo", "title": "Founder", "founder_bio": "Co-Founder @ Subsets. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/nikolaiskelbo", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fd789fcfa94adf5207c56104494a1fd553091e75.jpg" } ], "jobs": [ { "id": 105383, "title": "Account Executive - Enterprise", "url": "https://www.ycombinator.com/companies/subsets/jobs/rCbPOAE-account-executive-enterprise", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$180K - $300K", "equity_range": "0.05% - 0.10%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Subsets helps subscription businesses reduce churn with ‘retention experiments’ and explainable AI | TechCrunch", "url": "https://techcrunch.com/2024/02/27/subsets-uses-explainable-ai-to-help-subscription-media-companies-reduce-customer-churn/", "date": "Feb 27, 2024" } ], "launches": [ { "id": 73123, "title": "Subsets – The AI retention co-pilot for subscription businesses", "tagline": "We help consumer subscription businesses improve retention and make subscribers stay longer.", "body": "⌛️ **TL;DR**: Subsets makes it simple to understand, engage, and retain subscribers by enabling personalized and proven retention initiatives based on AI. Our solution helps leading subscription businesses increase CLV by +20% and extend subscriber lifetime up to 6 months.\n\nHi everyone! We are Oliver, Martin, Matias, and Nikolai - the co-founders of [Subsets](http://www.subsets.com).\n\n![](https://lh5.googleusercontent.com/Yuh27xND-dD2BFgP7TFtBnzQLiE540bgly9YdC26PzZ0LSep6C6K3t4sm4TnxdQWM2mKwH0ZxlWjaTzWgaeHm3chv-cOZa9_0L6Rv2GxjEM5_MFG0KnIVK3uA26Qj_N9pioUE949cuSSLTyD7VyvacY)\n\n_from left to right._\n\n**_Oliver_** _leads machine learning and AI development; graduate in machine learning, previously worked as an ML engineer._\n\n**_Martin_** heads the company; graduate in machine Learning, worked in management consulting for two years helping companies scale AI applications. \n\n**_Matias_** carries engineering at Subsets; CS graduate, software engineer in both venture scale-up and big tech (Amazon and Microsoft). \n\n**_Nikolai_** _drives growth and operations; experience with growth (ABM & marketing automation) and revenue operations at a fast growing SaaS scale-up._\n\n**🫠 The Problem**\n\n* Healthy consumer subscription businesses lose 20-40% of their subscribers annually\n* Think about a subscription you have personally - subscribers are flooded with impersonal and irrelevant information which does not encourage active engagement\n* CRM teams do not have solutions available to figure out what the subscriber needs right now to make the most out of their subscription\n* Current AI retention solutions are built for engineers, not commercial people\n\n**💡 The Solution**\n\n_Subsets is The AI retention co-pilot for subscription businesses_\n\nWe enable CRM teams to understand, engage, and retain subscribers by enabling personalized and proven retention initiatives based on AI. Initiatives that work get automated and run continuously on dynamic subscriber audiences. By knowing what initiatives work across different subscription businesses, Subsets can recommend initiatives that give ROI fast.\n\n_Understand, engage, retain by learning from experimentation_\n\n![](https://lh4.googleusercontent.com/m_beqEsY3ABmu53JrkAj5YYaHcCNvJBwRDmlGqS6ofA6PLJecveNU8n5u0-_nUQ1fMHRmXyuzcsOdPtletoYUnsOgTyIEMvfVYmpUxzTEay1BEgMRvFmOYeRCpn9hXhU-Gu_jFqq74HuzZa6xaj6FLk)\n\n![](https://lh6.googleusercontent.com/ZzbJxXa23lKZAWO1Wioh6UHlU834Sf9__lovSz1ZxjZOaDSwEpwLFwVHGJoV0Xs1TeTRRb-Lf4vIxWEHNGy7CtD5zZWlBKhZvduP2kkYt98pobuvi078zfgZbgfokIfUaSK-mNY6kNo54Se7woMtjj4)\n\n![](https://lh5.googleusercontent.com/YnhYcAnQdgkZlMn_tzyB2QyHZkQBcv2sIHcxO3vLat6IPP602dPNlUmVHcujl7erjzHRk1syzYhPzMdu4IE1bF2kS_5m_6LXaRCzRAojnAItcCXvX8piINPg2KzOLaSVLtp4tEB8mYFI4qUkyhRuqBM)\n\nOur solution helps leading subscription businesses increase CLV by +20% and extend subscriber lifetime up to 6 months.\n\n**🙌 Our Ask:** Intros to consumer subscription businesses\n\n* **Users:** If you know anyone who works in consumer-focused subscription businesses, we would like to talk to them and share what we are building! You can introduce us at [martin.johnsen@subsets.ai](mailto:martin.johnsen@subsets.ai)\n* **Pilots:** If you are interested in using Subsets, feel free to sign up on [www.subsets.com](http://www.subsets.com) or reach out directly to the founders at [founders@subsets.com](mailto:founders@subsets.com)\n* Follow [Subsets on LinkedIn](https://www.linkedin.com/company/subsets/) if you find it interesting\n\n \n\nThanks a lot for reading!", "url": "https://www.ycombinator.com/launches/J1P-subsets-the-ai-retention-co-pilot-for-subscription-businesses", "votes": 34, "created_at": "2023-07-17T03:32:48.291Z" } ] }, { "id": 28838, "name": "GreenTally", "slug": "greentally", "former_names": [ "LogUnify", "DSensei", "Empower" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/673f3845b8ea0c788142227e93c082ac8e4ff91c.png", "website": "https://www.greentally.ai", "all_locations": "San Francisco, CA, USA", "long_description": "GreenTally is a carbon accounting platform built for all businesses that transforms environmental reporting from a complex, expensive ordeal into a streamlined, affordable process. Using LLM, we help companies measure their carbon footprint in hours instead of months.\r\n\r\nGreenTally automates emissions calculations and reporting, enabling businesses to meet regulatory requirements and track reduction targets without the overhead of consultants or dedicated sustainability teams. By making enterprise-grade carbon accounting accessible and practical, GreenTally empowers growing businesses to take control of their sustainability journey.", "one_liner": "Affordable carbon tracking solution for all businesses", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1690923306, "tags": [ "Generative AI", "Machine Learning", "SaaS", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 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/greentally", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/greentally.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/greentally-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/673f3845b8ea0c788142227e93c082ac8e4ff91c.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": 52811, "full_name": "Yulong Liu", "title": "Founder", "founder_bio": "Co-founder at GreenTally. Previously machine learning engineering manager at Snap, and senior software engineer at Google Research", "is_active": false, "linkedin_url": "https://linkedin.com/in/yulong-liu-b4b96b16", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b325468b4fda71929fa7eda1a1d992d08c2c5779.jpg" }, { "user_id": 52812, "full_name": "Daiyi Yang", "title": "Founder", "founder_bio": "Co-founder at Empower, previous uber TL in Meta across multiple areas including Lead Ads, News Feed Experience and Metaverse Avatar. Director of engineering at Revinate before Meta leading the product development and infrastructure.", "is_active": false, "linkedin_url": "https://linkedin.com/in/daiyi-yang-ba2a2849", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d2c7c91f83a617c698715d33b03bc52887b1f7a0.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28839, "name": "Spine AI", "slug": "spine-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7eba747c12d79722f933dd297d83341ffec8d94c.png", "website": "https://www.getspine.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Spine AI is a visual workspace where a single prompt spins up a swarm of AI agents that plan, delegate, and execute complex tasks together — with humans fully in the loop.\r\n\r\nInstead of chatting back and forth with one model, Spine breaks work into visible steps on a shared canvas. Agents collaborate in parallel, ask clarifying questions, use connected tools, and show their reasoning and intermediate outputs as they work.\r\n\r\nEvery agent’s work stays inspectable, auditable, and editable — reducing hallucinations and giving you real control over the outcome.\r\n\r\nSpine connects to leading AI models and your existing tools, but the real power comes from orchestration: you act as the team lead, Spine runs the swarm.\r\n\r\nChat is great for answers. Spine is built for execution.", "one_liner": "Manage a swarm of AI agents to get real work done", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1687896796, "tags": [ "Generative AI", "SaaS", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "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/spine-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/spine-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/spine-ai", "x_url": "https://x.com/Spine_AI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/spine-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7eba747c12d79722f933dd297d83341ffec8d94c.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": 1222057, "full_name": "Akshay Budhkar", "title": "Founder", "founder_bio": "Founder and CEO at Spine AI. Previously @ Georgian Partners (Helped 40+ B2B SaaS, led Gen AI & 5 Applied research initiatives, released a few open-source toolkits to help companies at scale), Scribd (YC S06) and FarmLogs (YC W12). Did Gen AI in my Masters @ UofT before it was cool :)", "is_active": true, "linkedin_url": "https://linkedin.com/in/akshay-budhkar-06259041", "x_url": "https://twitter.com/BudhkarAkshay", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/36017de5313c6c0482668e1e791c09cae991cb2d.jpg" }, { "user_id": 1362282, "full_name": "Ashwin Venkatesh Raman", "title": "Founder", "founder_bio": "Founder and CTO at Spine AI. Previously at Instacart, AWS, Alexa, Nvidia and UWaterloo.", "is_active": true, "linkedin_url": "https://linkedin.com/in/avraman", "x_url": "https://x.com/AshwinVRaman", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d00e8ab81c85a4f39c47f6cd664b83058608d17c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108332, "title": "Medley: Give Claude Code missions, not just tasks", "tagline": "Medley is a free Claude Code plugin for work bigger than one session. Type /mission to turn an outcome into a live dependency graph, coordinate Claude Code and Codex workers, review the assembled result, and keep going.", "body": "Hey YC! 👋 We're Akshay and Ashwin, and we're building Medley.\n\nYou type **_/mission_** and give it the outcome, the budget, and the constraints. Medley builds a live dependency graph, coordinates Claude Code and Codex workers, reviews what comes back, and keeps going when execution reveals more work. It's free and runs on the subscriptions and API access you already have.\n\n\n\n## **❌ The Problem**\n\nCoding agents got good at bounded tasks. Once a job outgrows one session, you become the harness. You break the work into prompts, move context between agents, review outputs, and decide what happens next. There's no shared definition of done, so \"finished\" just means \"looks finished.\"\n\n## **🛠 Our Solution**\n\n/mission takes on that orchestration. Three things sit between your outcome and the models:\n\n* **A contract.** Before any work starts, Medley sets the objective, the acceptance criteria, the constraints and budget, and the conditions that should make it hold or stop. That's what \"done\" gets measured against later.\n* **A live graph.** Medley doesn't write one giant plan upfront or spawn a swarm by default. It plans the next useful set of steps, runs them, reviews what came back, and updates what should happen next. Each node carries a brief, its dependencies, and a verification target. Sometimes one worker should carry a tightly coupled job end to end; when work is genuinely independent, Medley runs it in parallel. Work is routed across Claude Code and Codex workers - and with your own OpenRouter key, Codex workers can run models like Kimi and GLM.\n* **An acceptance stage.** When a batch lands, a separate reviewer role inspects the outputs and changed files, runs the contract's verify commands, and decides whether the evidence satisfies the contract - not whether the work merely looks finished. If it doesn't, the mission replans.\n\nYou can watch and steer the mission in your browser. Anything that needs your judgment or approval - publishing, sending outbound, spending, contacting people - lands in the attention queue. Everything else keeps moving. \n\n## **📊 Why This Works**\n\nThe model is only the local capability. The harness decides where to apply it - the contract fixes the target, the graph splits the work, routing matches each task to a worker, and an independent acceptance stage runs the real verify commands and replans when the contract isn't met.\n\nBefore launch, we pressure-tested a benchmark-specialized version of the same architecture on four complete public benchmarks: 93.25% on Terminal-Bench 2.1, 71.37 on HealthBench Professional, 93.24% on ViBench, and 60.98% on DrugDiscoveryBench. Those are the highest reported results on each, and they span coding, healthcare, and drug discovery.\n\nNo new foundation model. The gains came from how the work was decomposed, routed, carried across contexts, and reviewed.\n\n![uploaded image](/media/?type=post&id=108332&key=user_uploads/1362282/3af52f57-057a-475d-8bc4-ec0b1531a504)\n\nFull methodology and results are[ on our blog](https://www.medley.sh/blog/the-harness-is-the-capability-multiplier).\n\n## **🙏 Our Ask**\n\n**Try it.** Medley is free on Mac. Install it from Claude Code:\n\n```\n/plugin marketplace add Spine-AI/medley\n/plugin install medley\n/reload-plugins\n```\n\nThen run /mission.[ ](http://medley.sh/)[medley.sh](http://medley.sh)\n\n**Tell us what you think.** We're shaping the product around how people actually use it. Email [support@getspine.ai](mailto:support@getspine.ai) with what you tried, where it worked, and where it broke - and where you'd want Medley to keep going versus stop and ask.", "url": "https://www.ycombinator.com/launches/SBI-medley-give-claude-code-missions-not-just-tasks", "votes": 8, "created_at": "2026-07-29T17:35:57.374Z" }, { "id": 98705, "title": "Spine Swarm: Your AI Team for Everything Beyond Code", "tagline": "Spine gives you a team of AI agents that work together on a visual canvas to complete complex projects: research, analysis, financial models, prototypes, decks, and more.", "body": "\nHey YC! 👋 We're Akshay and Ashwin, and we're building Spine Swarm.\n\n**TL;DR**\n\nYou describe a project. A team of AI agents spins up, works in parallel on a visual canvas, and delivers finished outputs: market reports, financial models, slide decks, interactive prototypes. Free to get started, no setup needed.\n\n**Ask:** Sign up and try it at[ ](https://www.getspine.ai/)[www.getspine.ai](http://www.getspine.ai). We'd love to hear what you build — drop us a note at [founders@getspine.ai](mailto:founders@getspine.ai).\n\n\n\n## **❌ The Problem**\n\nAI agents for coding have crossed a threshold. Tools like Cursor and Claude Code let engineers describe a project and come back to finished, working code. That experience doesn't exist yet for the rest of the work that drives a company forward.\n\nAs coding gets increasingly automated, the bottleneck is moving upstream: strategy documents, competitive analysis, financial modeling, sales collateral, market research, SEO audits, rapid prototyping. These are multi-hour, multi-step projects that require pulling information from many sources, structuring it, and producing polished output.\n\nToday's AI tools treat this kind of work as a conversation. You get a chat thread, local file management, and one model doing everything sequentially. For simple tasks that works fine. But for complex projects, the single-chat paradigm breaks down. You end up managing the AI instead of letting it manage the work.\n\nWe've been building at this intersection for 3 years. Last year we launched Spine Canvas, a visual workspace for orchestrating AI models. Swarm is the next step: the canvas now has autonomous agents that can take on entire projects from start to finish.\n\n## **🛠 Our Solution**\n\nSpine Swarm gives you a team of AI agents that work together on a visual canvas. You describe the project, and Spine spins up specialized agents in parallel, each handling a different part of the work. You can watch them execute in real time, inspect each artifact as it's created, and edit anything in place.\n\n* **Multi-agent execution:** Spine orchestrates a team of agents across your project. For a competitive analysis, one agent researches market data, another structures the findings, another builds the slide deck. They work simultaneously, not sequentially, and can run autonomously for 80+ minutes on large projects.\n* **Intelligent model selection:** We route between 300+ models, picking the best one for each step and ensembling multiple models to override any single model's biases. You don't configure any of this.\n* **Visual canvas:** Every artifact your agents produce appears on a shared canvas where you can inspect, compare, edit, and branch. No chat windows, no file systems.\n\nEverything Spine builds is downloadable and hosted at a shareable link. Just send your team the URL.\n\n## **📊 Why This Works**\n\nA common question we hear: \"You're using the same models everyone else has access to. Why would the output be better?\"\n\nWe recently scored **87.6% on Google DeepMind's DeepSearchQA**, a benchmark that measures how well AI answers complex research questions requiring multi-step reasoning across sources:\n\n![uploaded image](/media/?type=post&id=98705&key=user_uploads/1362282/fb8a5039-8780-455d-abc4-7f3da613aa7b)\n\nThree things drive this:\n\n* **Model routing and ensembling:** Spine selects the best model from 300+ options for each step and ensembles multiple models to override any single model's biases or blind spots.\n* **Orchestration:** How you decompose a complex task, coordinate agents across steps, and manage handoffs between them matters as much as the models themselves.\n* **Intelligent canvas:** Agents work on a shared canvas where they can read each other's outputs, build on previous steps, and assemble coherent deliverables. This also means every step is fully auditable, so you can trace how agents arrived at their conclusions and verify their reasoning.\n\nRead more about our approach and the full benchmark results[ on our blog](https://blog.getspine.ai/spine-swarm-hits-1-on-gaia-level-3-and-google-deepmind-deepsearchqa/).\n\n## **🚀 Tasks Worth Trying**\n\n* \"_Audit \\[your website URL\\] and produce a full SEO analysis, competitive landscape, and a prioritized growth roadmap with a slide deck._\" You'll see agents browsing your site, researching competitors, and assembling deliverables simultaneously.\n* \"_I'm preparing to fundraise. Here are my company details: \\[paste\\]. Build me a pitch deck, competitive landscape with market sizing, a financial model, and personalized outreach emails for target investors._\"\n* \"_Here's a product idea: \\[describe it\\]. Generate three different interactive prototypes and landing pages exploring different design directions, alongside a PRD and go-to-market strategy._\"\n\n## **🙏 Our Ask**\n\n* **Try it:** Sign up at[ ](https://www.getspine.ai/)[www.getspine.ai](http://www.getspine.ai) and run one of the tasks above. It's free to get started, no credit card required.\n* **Tell us what you build:** We're actively shaping the product around how people actually use it. Email us at [founders@getspine.ai](mailto:founders@getspine.ai) with what you tried and how it went.\n\n**Share this post** if you know founders, operators, or team leads drowning in the strategic and analytical work that's piling up as code writes itself.", "url": "https://www.ycombinator.com/launches/Pg1-spine-swarm-your-ai-team-for-everything-beyond-code", "votes": 24, "created_at": "2026-03-12T15:09:28.483Z" }, { "id": 94642, "title": "Spine Canvas: Unlimited Visual Workspace for AI Thinking", "tagline": "Think beyond chat. Collaborate visually across 300+ AI models with branching, parallel, and contextual workflows.", "body": "tl;dr: Chat is great for Q&A, but real work isn’t linear.\n\n**Spine Canvas** is an unlimited, visual AI workspace that lets you orchestrate 300+ models with a single subscription, think in blocks (Chat, Deep Research, Memo, Image, Slides), branch safely, run in parallel, and keep explicit context across everything.\n\nGet started for free:[ ](https://www.getspine.ai/)https://www.getspine.ai\n\nhttps://www.youtube.com/watch?v=OBq6dDQlO5w \n\n### **❌ The Problem**\n\nMost AI tools force thinking into a chat thread. That breaks down for real work:\n\n* **Superficial and linear:** useful for one-off answers, weak for exploration and synthesis\n* **Context evaporates:** sources get buried; you can’t see what informed which step\n* **No safe branching:** testing alternatives means losing your original path (or forking tabs)\n* **No parallelism:** ideas wait in line; you can’t spin up multiple streams at once\n* **Tool sprawl:** one app for research, another for writing, another for images — context gets lost between multiple AI subscriptions\n\nIf you’re doing market/competitive research, strategy, content systems, or product planning, you need an environment that reflects how thinking actually happens: exploratory, non-linear, and iterative.\n\n---\n\n### **💡 Our Solution: Canvas, Not Chat**\n\nSpine Canvas is a visual workspace where your ideas are blocks connected by explicit context. You can see, direct, branch, and re-run your thinking — across hundreds of models — without losing your train of thought.\n\n#### What you can do today:\n\n**Orchestrate 300+ models with a single subscription**\n\nGPT‑5, Claude, Gemini, Qwen, Flux, Nano Banana, and more — pick the right model per step and switch mid‑flow without losing context.\n\n**Think in blocks, not threads**\n\nChat, Prompt, Deep Research, Memo, Image, Slides — each block has an explicit role and visual inputs/outputs, so chains stay modular and interpretable.\n\n![uploaded image](/media/?type=post&id=94642&key=user_uploads/1222057/d6578fed-e2e5-4e9d-a749-a58b8ab47ccd)\n\n**Organize and (explicitly) utilize all your content in a single workspace**\n\nPaste or drop in PDFs, YouTube links, webpages, and even past LLM chats. Wire them into any block and control exactly what each step uses.\n\n![uploaded image](/media/?type=post&id=94642&key=user_uploads/1222057/1e4420c0-d1a2-46fa-82db-cdf54eb15827)\n\n**Branch safely and compare**\n\nExplore alternatives without corrupting your original path. Keep versions side‑by‑side and merge insights when you’re ready.\n\n**Run in parallel**\n\nTake a list (competitors, themes, tasks) and spin out multiple research streams, drafts, or visuals at once.\n\n**Re‑run and evolve**\n\nUpdate one block and cascade improvements through an entire branch. Iteration becomes automatic and reproducible.\n\n![uploaded image](/media/?type=post&id=94642&key=user_uploads/1222057/47204045-5cb7-477e-afc9-55a447f0e165)\n\nOur public roadmap:[ app.getspine.ai/roadmap](https://app.getspine.ai/roadmap)\n\n### **💼 Real Canvases Teams Are Building**\n\n* Market deep‑dives that flow into competitor profiles, battlecards, and executive memos — in minutes, not days\n* Content engines that turn one source into outlines, drafts, and platform‑ready assets (with visuals)\n* Founder/product strategy rooms mapping interviews (YouTube + PDFs) → insights → counterpoints → product bets → launch plans\n* Creative labs exploring concepts, visual directions, and brand systems\n* Learning hubs with curated sources, summaries, and living notes\n\nExplore our gallery:[ https://app.getspine.ai/gallery](https://app.getspine.ai/gallery)\n\n### **⚙️ Why This Matters**\n\n* **Transparency:** See what each block knows — no black-box memory.\n* **Control:** Direct sources by domain, date, or type; include your own docs and past chats.\n* **Speed:** Complex, multi-step work finishes in minutes and stays repeatable.\n* **Flexibility:** Model-agnostic orchestration keeps your workflow stable as models evolve.\n* **Complete**: Do everything from research to generating presentation slides, images, copy drafts, all without switching tools.\n\nChat works for Q&A. **Canvas is for thinking.**\n\n### **🤝 Ask**\n\n* Try using a canvas for thinking instead of linear chat threads – build one real workflow (research → memo, content engine, or strategy room) and tell us what clicked.\n* Share with teams who live in research, strategy, content, product or learnOps – we’re eager to add more templates based on your feedback.\n* YC community: we’re always happy to chat about getting the best thinking out of your AI models — visually for individual workflows, and structurally through company-wide templates.\n\n**Get started for free:**[ ](https://www.getspine.ai)[getspine.ai](http://getspine.ai)\n\n**Join the community:**[ discord.gg/KuHzF6zBPs](https://discord.gg/KuHzF6zBPs)\n\n**Book a chat:**[ calendly.com/intro-getspine/intro](https://calendly.com/intro-getspine/intro)\n\n\\\nThe future of human–AI collaboration is visual, adaptive, and unlimited.", "url": "https://www.ycombinator.com/launches/OcU-spine-canvas-unlimited-visual-workspace-for-ai-thinking", "votes": 29, "created_at": "2025-10-14T19:07:02.223Z" }, { "id": 90394, "title": "Spine Research: Deep research done better", "tagline": "Iterative deep research reports you can actually use.", "body": "**tl;dr** Spine Research searches through **_over 3x more sources 5x faster than ChatGPT Deep Research while keeping you in control_**. With a built-in full-text editor, you can iteratively guide the research, dive deeper into topics, and build and share reports that are actually useful.\n\nhttps://www.youtube.com/watch?v=cabKW-B9Ung\n\n# ❌ **The Problem**\n\n“Deep research” with AI often isn’t comprehensive, collaborative or controlled. If you’re relying on research for critical decisions, you’ve probably run up against the limitations of current tools:\n\n* **Superficial Overviews:** Most AI tools deliver surface-level summaries. While a starting point, they rarely deliver the nuanced, comprehensive understanding needed for a true competitive edge or complex problem-solving.\n* **Static Reports, Not Evolving Understanding:** Real insight comes from asking new questions based on what you're learning, and using that to inform where you need to go next. What if the initial research misses the mark, or you want to explore a specific avenue further? You're often stuck waiting 10-15+ minutes for a complete do-over, losing valuable context and any useful initial findings. Current UX isn't built for the way human understanding evolves – through continuous _refinement_ and building upon prior knowledge.\n* **Lack of Meaningful Control:** Struggling to direct AI to your trusted websites, specific authors, or crucial internal documents? Or to exclude irrelevant noise? You end up sifting through low-quality information, wasting time and effort, because you can't effectively steer the research. It's hard to restrict research to just research papers, recent news or local government websites.\n\n For critical decision-making and professional analysis, today's AI \"deep research\" often feels frustratingly superficial, rigid, and disconnected from your own expertise.\n\n# 💡 **Our Solution**\n\nSpine AI rapidly generates comprehensive research reports by synthesizing insights from hundreds of websites, academic papers, news articles, and private documents—delivering deeper, more accurate understanding in a fraction of the time taken by ChatGPT's Deep Research. \n\nYou're in full control to iteratively define the scope, depth, and breadth of analysis to perfectly suit your needs.\n\n1. **Guide your process from the start:**\\\n Start with your prompt and guide the research process immediately. Spine AI generates an initial outline you can quickly edit. Refine its scope, focus, or sources in minutes, ensuring precise alignment _before_ full report generation, so you don’t have to wait 15 minutes to realize you forgot to include a key detail about scope.\n\n ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcL5A3u_PiTNIcT2zA_EuBzfnd1KkxzSX96-X_IXZip1X55JeOpSlewO6VSh2UnshndNmMQ0CIQLX2AJXZnl63DSKevcmLfEEZbmYFx4kNp4hSAMh6O8fSbOreW-syDJtskuGvYWg?key=Y1LxsXqmD3SyMDO0vvbfTw)\n\n2. **Control the process and build your understanding iteratively:**\n * **Breadth of sources:** When searching the open web, Spine AI accesses over 3x more sources than ChatGPT’s deep research, giving you a more comprehensive view with detailed citations out of the box. You can also exclude irrelevant domains, keeping unreliable sources out of your reports.\n * **Focused discovery:** Direct Spine AI to focus on particular types of sources (like news, financial reports, or research papers), specific websites, and set publication timeframes, to ensure the most relevant information.\n * **Leverage your own sources:** Upload and research your own private documents—proprietary reports, project files, spreadsheets, slide decks—integrating your internal knowledge with external discovery.\n * **Model Agnostic:** Maintain flexibility by choosing the LLM (including OpenAI, Claude, and Gemini models) that best suits your current needs or preferences. Your core research workflow remains stable, even as individual model capabilities evolve.\n\n ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcT9SBLuKPWhEOCBukznBQTa76nsdbme7j2Tid7-TYTDxW-fxfMF37AHn7GwxQBR-b5E1rxcu9GWpjbdKWLgcoJV7q9SMyH0-ToypIKq63YfCWSBg1BTjXOle7IUb4h_GZ-DaGjJw?key=Y1LxsXqmD3SyMDO0vvbfTw)\n\n3. **Directly add your expertise:**\\\n Spine AI isn't just about AI-generated content; it's a dynamic working document. You can type directly into your research, add your own notes, edit the generated text, and incorporate your unique context and analysis alongside the AI's findings. Close the gap between just another research doc to organize, and actually creating a usable report, or project doc.\n\n# 🤝 **The Ask**\n\n**Put us to the test.**\n\nNeed to build quick expertise on a new topic or simplify your research process?. Find out about how the [recent executive order on drug pricing could shift the market](https://research.getspine.ai/reports/62ab8a56-e0d5-4380-a991-18bf4fc2ffd0?utm_campaign=bookface), [what US-China trade negotiations could mean for startups and VC](https://research.getspine.ai/reports/0ee2928d-e0c9-4aea-b277-45f347d2b07d?utm_campaign=bookface), or [where Stripe is sitting in the market](https://research.getspine.ai/reports/105e8d40-36fc-4092-8555-853cf5865b40?utm_campaign=bookface). Also great for getting a handle on the latest research ([how much do we really know about ozempic?](https://research.getspine.ai/reports/ff4177f6-105f-4954-9fdd-a50261beae32?utm_campaign=bookface)), or whatever else you have questions about.\n\n**Try us out for free!**\n\nAnd with the YC promo code (YCLAUNCH), you can get $25 off our pro plans.\n\nKnow a founder, investor, analyst, or tech enthusiast who needs better research tools? Let them know about Spine AI. **Share with deep research power users**, and see if they don’t want to make the switch.", "url": "https://www.ycombinator.com/launches/NVy-spine-research-deep-research-done-better", "votes": 56, "created_at": "2025-05-14T16:35:06.718Z" }, { "id": 86064, "title": "Spine AI – The Multi-Modal AI Analyst Platform for Reliable Insights", "tagline": "Simplifying data exploration at scale with AI analysts tailored to your business context", "body": "# Tl;dr\n\nAccessing and synthesizing data is a challenge, with existing tools requiring too much effort and expertise.\n\n**Enter Spine**: An AI-powered data platform built for decision-makers that handles your data in any format. Teach it your business context, to get reliable answers from databases, documents, and websearch. Gather your insights in customizable reports that automate multi-modal analysis and keep insights traceable.\n\nTo celebrate F24 Demo Day, **we’re offering free access** to a YC dataset in Spine, giving investors and observers a deep dive into batch F24’s companies, founders, and opportunities.\n\n![uploaded image](/media/?type=post&id=86064&key=user_uploads/1222057/425f4b5e-1eb5-48a6-bf02-25e69412564d)\n\n![uploaded image](/media/?type=post&id=86064&key=user_uploads/1222057/365e8fa7-e9c5-4489-adb3-281393120488)\n\n# The problem\n\nThere is no shortage of data and information, or reasons to access it. Improving operations, identifying the most successful initiatives, or clarifying key drivers of revenue. But accessing and synthesizing this information from various sources can be an uphill battle.\n\nMany tools available for working with data make it difficult to get to the right information without significant time and effort. Technical experts often have to unlock access for decision makers, and even then, critical details locked in documents, slide decks, or PDFs are hard to uncover and integrate effectively. \n\nWhile platforms like ChatGPT, Claude, and Gemini offer “chat with your data” functionality—such as answering questions about uploaded spreadsheets or generating text-to-SQL queries—they don’t go far enough. None of these solutions offer an end to end solution that’s suitable for scalable use.\n\n**You need to already have the right data, in a clean format, and not too much.** The big LLM providers can find some new information for you, but it can’t give you structured data at scale, and it’s not up to date.\n\n![uploaded image](/media/?type=post&id=86064&key=user_uploads/1222057/243f0c39-bd31-4246-9230-a330465ccdd1)\n\n**It’s not enough to just do text to SQL.** It can speed up querying, but there’s a lot of business context that needs to be applied to make answers accurate and useful, and Custom GPTs don’t cut it. \n\n![uploaded image](/media/?type=post&id=86064&key=user_uploads/1222057/7f42be7d-d2d5-434c-8854-37792f39dc9d)\n\n**There’s no good way to update information, add more data, or deal with multiple formats and sources at the same time.** People often don’t know the best place to find the information they are looking for, and most LLMs can’t help with that at scale.\n\n**You can’t easily collect the insights you’ve generated from LLMs, share them, or re-trace your steps if there are questions about the source.** If you want to replicate a similar process for your analysis there’s no straightforward way, especially if it involves multi-modal data.\n\nThe major BI and analytics tools solve some of these problems, but they don’t really deliver on conversational functionality, and definitely don’t support multi-modality.\n\nWhich is why we’ve built a better way.\n\n# The solution\n\nSpine is a multi-modal AI analyst platform designed for decision-makers, delivering an end to end solution which includes:\n\n**Explore and enrich data**\n\n* Either start from scratch or add on to your existing data. Combine structured data, documents, and websearch for a unified view.\n* Pull in data for competitive analysis, market research, benchmarking and more.\n\n**Domain knowledge management customized for your use case, and ongoing evaluations for reliable updates**\n\n* Our platform makes it possible to adjust, and test the integration of domain knowledge at scale, so you know updates work and are an improvement over what came before. \n* We generate 1000s of samples for each of our analysts, capturing issues so we can solve them, and know objectively that our changes improve performance.\n\n**Integrations for your existing data sources**\n\n* We work with data of all types, integrating with platforms like Google Drive, BigQuery and Snowflake, and industry specific tools like iLevel. Any tool that has an API can be set up.\n\n**Transparent answers for users**\n\n* Our AI analysts always show their work, so users can verify where answers are coming from and how they were created.\n* If the analyst finds a question it’s not confident in answering, it notifies the user and gives them the option to submit to a human to verify its work.\n\n**Customizable reporting and repeatable analysis**\n\n* Full control and flexibility in reports and dashboards. Insights can be added directly from the chat, gathering information from structured datasets and documents.\n* Create templates to automate multi-modal analysis, enabling you to apply the same framework seamlessly across multiple entities, such as different companies or similar data sets.\n\n**In honour of Demo Day**, we’ve put together a [free preview of Spine](https://yc.getspine.ai/sign-up) with a dataset for batch F24’s companies and founders (plus as a bonus, data on all YC companies). \n\nIf you’re an investor:\n\n* Don’t miss out on discovering the best of the best. You can get a comprehensive overview of who’s in this batch, what they’re doing, and which companies are most similar, and figure out which are best suited for your investment thesis.\n* Track the companies you’re interested in, and create a more focused view to compare them.\n* Upload pitch decks and documents from founders to enrich the dataset we’ve given you, and pull key insights from them, such as traction, TAM estimates and GTM strategy.\n\n![uploaded image](/media/?type=post&id=86064&key=user_uploads/1222057/517013a9-2a07-4c8b-abef-0ea809e7ad5c)\n\n![uploaded image](/media/?type=post&id=86064&key=user_uploads/1222057/47430f02-c20c-42d8-9376-8591fc3d9058)\n\n# The ask\n\n**Try this free preview of Spine for YC F24 Demo Day!**\n\n[Sign up](https://yc.getspine.ai/sign-up) and learn about the companies launching with this batch (or explore all companies in the YC directory!)\n\n**Reach out if you’re interested in the full version of Spine**\n\nWe’ve worked with a number of investors in the VC space, but we’ve also created AI analysts for market research, sales data, and user facing experiences for B2B SaaS products.\n\nIf you think you could be doing more with your data, [reach out.](https://www.getspine.ai/talk-to-us)\n\n**Spread the word**\n\nIf you like what you see, share it with someone you think would find it useful. \\\nShare this post, and follow us on [LinkedIn](https://www.linkedin.com/company/95072305/admin/feed/posts/) and [Twitter](https://twitter.com/Spine_AI).", "url": "https://www.ycombinator.com/launches/MO8-spine-ai-the-multi-modal-ai-analyst-platform-for-reliable-insights", "votes": 32, "created_at": "2024-12-05T15:20:32.109Z" }, { "id": 82328, "title": "Spine AI - Reliable AI data analysts that know your business", "tagline": "Custom AI analysts, trained on your business context, so you can ask truly plain language data questions and make informed decisions frictionlessly", "body": "## tl;dr\n\nSpine creates reliable AI analysts that make it easy to get the right data to drive decisions. We capture and embed your business context, to enable real plain language data questions. Instead of spending time struggling with inflexible dashboards, or translating questions to queries, just ask questions and get answers. Empower internal decision makers, or your customers, with interface options that integrate with existing workflows.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXdtqKjuSuQpHE3TjAm_itXPgRLQtQgySxCTM0ReLQsAw3Gp_7wvbUIcGzUlUdy_WnNHsxizF0yn7oyA3Eb6ompQWp1RItXp80w1zaZWFZoAZgUQ4-Yk36b65S3_8LSTE5QTYAdgjqKrhkkzSBg6ZF45FUg?key=nI0vqYTeqq8Yopi3is-LAg)\n\n# The problem\n\nFrom having built over 200 copilots for companies and having processed more than 100k user queries here are some of our key learnings:\n\n* Analytics and business intelligence are critical to running any organization. They allow leaders to understand what’s working, what’s not, and where they can find new opportunities.\n* Most existing BI tools are inflexible and technical. To find answers to novel questions requires knowledge of the data model, or a BI specific query language.\n* In practice, it's not always obvious what you'll need to know to respond to an evolving situation, or what new questions your data will raise. Static reports and dashboards create dead ends. You can get stuck waiting for someone from the data team to be available, or having to act on best guesses.\n* And it's not just internal decision makers who face these challenges. Your customers can only interact with their application data through:\n * static dashboards that require engineering teams to build,\n * custom reports your support teams and analysts put together, and/or\n * data exports that require expertise to dissect\n* While the extraction of information from unstructured sources has evolved, handling structured data remains a challenge:\n * Beyond accurately deciphering user intent, structured data often comes with messy table schemas and unwritten business context, for which there are no established methods of embedding in the models.\n * Simply having models generate complex SQL and/or code to process the data makes the execution less transparent, flexible and reliable.\n * Isolating data across multiple tenants and user access controls remains a barrier in making this a customer facing feature.\n\n## The solution\n\nWe build custom AI analysts that allow any user to ask plain language questions about their data, and get reliable answers.\n\n**Plain language questions and natural exploration**\n\nWith the chat interface, users can easily explore their data, asking questions in their own words, instead of \"translating them\" to a formal query. When the results raise new questions, just ask them. No searching for the right report, or getting stuck at a deadend in your dashboard.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXezHViIBc3TQimN4FoYsmGAuqFJ_lFgAQU8rTAGqPTGqoQmaN1l_FIxEwl8RvNWwRNJDQrVqL3w1ur0ziFjU069dzbYTwvorccXTDYPsPjD4CSqnRUMWnu4s89MT5Lgy-XfA3dqZJ5XunVddCXzeh97aw?key=nI0vqYTeqq8Yopi3is-LAg)\n\n**Revisit crucial insights**\n\nOnce you’ve found insights in your data, it’s easy to come back to. Get regular notifications for key questions, collect insights into shareable reports, or add them to flexible dashboards.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXefxA1bWXpTkzW8hQBEekKMhZ4W3KPKIdetddq-1FWALX804CujEpigd2dQJjFVsEYVqE8MTsMRRzJ9mB6ahQkKQ7Rpxatwyp8AUgaVdLWKz0B8neUCiXXWM6uQbQWQXeFOwBBVHNETGCQGvQa5U1TJUrc?key=nI0vqYTeqq8Yopi3is-LAg)\n\n**Transparent and reliable answers**\n\nEven on a single table dataset Spine’s AI analyst performs 15x better than GPT-4o out of the box.\n\nRather than leveraging models to generate complex SQL or code (or find answers from the data directly), our solution leverages a proprietary Data Processing Unit (DPU) that comprises a collection of refined modules.\n\nThe DPU enables us to:\n\n* have individually tested and schema/domain fine-tuned modules that work at scale\n* react to the data and modify the operations we take to get the answer\n* explain the steps taken by the AI in a simple human readable manner\n\nDuring the customer onboarding process, we capture and embed the business context and the schema understanding into the DPU modules. Additionally we build and maintain data and schema-specific semantic layers, across tables, which makes it possible for us to accurately interpret and handle natural language questions across multiple tables with over millions of rows each.\n\nFinally, a combination of automated and human evaluations give us an objective way of measuring performance — both before and after we deploy the analyst.\n\n**Diverse use cases**\n\nWe are able to support use cases across diverse industries and user bases by systematically gathering domain specific knowledge from our customers, and automatically inferring relevant data characteristics. Whether you’re in finance, retail, healthcare, telecoms, manufacturing, or any other industry, we can create an AI analyst for your business.\n\n**_Sales analyst_**\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXdfoY8qAC_h6o37VqJhc9laUNLLsm2WoauY11Wzkq5Xn30kUo3sOqSGh5QQh8Z0In23MiAu5rTmss7DsZEFkpNUqwbVjH8-7lkmjcQTWE03g1U_Ce7bU_J5Tnaa34Om9RUW7onhyfiMfZBYYDhIg2bv82s?key=nI0vqYTeqq8Yopi3is-LAg)\n\nUnderstand what outreach activities are getting attention, with who. Dig into team member performance, email deliverability and more, to better understand what’s effective and what’s not performing.\n\n**_eCommerce platform analyst_**\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXdmVxwj3U-ohPX90hds_V_0qkRzBioVUgAOa7mZn0dJb3Bds-NSWsJAI2bfrQSnwVkAlwQ9n_KxmSXWXouOgqy4Tof9-GabGM6CC36-DMWTw53EJt8TuP5AYKCIJhxhWsXsU_aO9V0ZimmY5AW4FzW6Gg?key=nI0vqYTeqq8Yopi3is-LAg)\n\nGain insights into which products are selling the most and why. Analyze customer behavior, optimize inventory management, and uncover trends in purchase patterns to maximize your sales potential.\n\n**_ERP system analyst_**\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXd_waVQSpbeRpOB3ZZjq_YGuu4scesyVCwj7txYLLoy6oyIzVUoSxEKyDuvkkjnXfG3JekB8U5Oq_I_wsbfAQSxLtdNw2QHrm6Yu9HQfmNQ5lMv7fLm1Sduavs0PyO3Fie2eqHih2I4amlPDb8exr_dy3I?key=nI0vqYTeqq8Yopi3is-LAg)\n\nKeep projects on track by monitoring task progress, timelines, and budget adherence. Evaluate project performance, identify risks, and ensure timely delivery of project milestones.\n\n**The power and flexibility of AI without needing a technical team**\n\nYou don’t need your own AI team. Have your custom analyst up and running in the next 30 days, and leave the upkeep to us. Monitor and tune the analyst’s behavior over time with our admin panel.\n\n# About us\n\nWe are Akshay and Ashwin – the co-founders of Spine AI 👋. We've been friends for over a decade, with our shared journey beginning at the University of Waterloo. Our interest in machine learning took root in an unlikely place – a building called _Spine_ at the Nanyang Technological University in Singapore during an exchange term.\n\nAnd in our first year we’ve grown! Across our team, we collectively collaborated with more than 45 enterprises, guiding them toward the next levels of AI maturity. We have more than 100+ citations in GenAI and patents in AI and data processing. Our team also has experience working at companies like Nvidia, Shopify, Instacart, Amazon, Epic Games as well as founding multiple YC companies.\n\n## The ask\n\n* If you need better access to insights within your organization, or want to empower your customers with their data, we'd love to [hear from you](https://www.getspine.ai/talk-to-us)!\n* First 10 companies that contact us after launch get to trial a free, fully functioning AI analyst for your data! (Just let us know you heard about us from YC)\n* Help us spread the word! Please share this post and join our journey by following us on [LinkedIn](https://www.linkedin.com/company/95072305/admin/feed/posts/) and [Twitter](https://twitter.com/Spine_AI).", "url": "https://www.ycombinator.com/launches/LPs-spine-ai-reliable-ai-data-analysts-that-know-your-business", "votes": 32, "created_at": "2024-07-22T20:55:24.459Z" }, { "id": 73256, "title": "🚀 Spine AI – Propel your products forward with AI copilots", "tagline": "Spine AI’s platform helps you build a copilot for your product.", "body": "**_Tl;dr_**_: Spine AI simplifies the process of integrating AI copilots into your products. Now, complex tasks within products like JIRA, such as custom reporting or bulk updates, can be effortlessly managed. Simply have your users instruct our AI copilot and watch as it seamlessly executes your commands. Interested in the power of AI copilots for your products? We're just a message away!_\n\n![](https://lh3.googleusercontent.com/WbKO1Pu6llFXV2BkVDpIZq_OxQHZqlQkGdXmWfSfgo9d-OsXV5GsUxwJZCRRzuZnxKhkAAibbms9Hi-zyfyklPV7OTkwhabjFUWi7es3qMRaHL1VekA9vtQgboExpAf_oZXHyPt3RkAO7V-3_wq1ijE)\n\nHello everyone, we are Akshay and Ashwin – the co-founders of Spine AI 👋. We've been friends for over a decade, with our shared journey beginning at the University of Waterloo. Our interest in machine learning took root in an unlikely place – a building called _Spine_ at the Nanyang Technological University in Singapore during an exchange term.\n\nIn the past five years, we've collaborated with more than 45 enterprises, guiding them toward the next levels of AI maturity. This year, we've successfully integrated LLM-related technologies into over six companies, leading to a clear projected ROI. This journey has brought some key insights to light:\n\n* The gap between creating a text generation prototype with tools like OpenAI and deploying a value-adding product is significant.\n* Customer expectations are evolving, with [hybrid UI paradigms (command + intent)](https://www.nngroup.com/articles/ai-paradigm/) becoming increasingly prevalent.\n* To maximize their benefits, AI copilots must perform actions on users' behalf, saving time and creating new workflow possibilities. This is the core functionality of our Spine-powered copilots.\n\n### 💪 The Power of AI Copilots\n\n* AI copilots streamline complex UI workflows, morphing them into an intuitive, natural language-based interface.\n* Adding an AI copilot to B2B products is becoming table-stakes (as seen with [Shopify](https://twitter.com/tobi/status/1679114154756669441?s=20), [Microsoft](https://www.barrons.com/articles/microsoft-stock-ai-software-ad2baf04), [Notion](https://www.notion.so/product/ai), etc.) for companies that have the capacity to build them. At Spine AI, we're on a mission to democratize this.\n* When added to enterprise SaaS products, AI copilots have helped companies increase ARR by $1M. 💰\n* AI copilots enhance your product by adding an intelligence layer that directly connects users to backend APIs, documents, and databases, making previously challenging workflows easily implementable.\n\n![uploaded image](/media/?type=post&id=73256&key=user_uploads/1362282/06ca9a30-c100-4c04-87e3-64e7438b361d)\n\n### 💢 The Problem\n\n* Developing reliable AI copilots, which offer a wide range of functionalities, demands a significant investment of time and resources, requiring extensive AI and engineering expertise throughout the entire lifecycle.\n* Embedding diverse actions into the copilots, such as API calls, documentation updates, multi-modality, and authentication handling, can extend the development timeline beyond six months.\n* The addition of complex features, like custom reporting and integrations, can further prolong the development cycle, putting additional strain on already-packed roadmaps.\n\n### 🎯 The Solution\n\n* Enter Spine AI – the easiest way to build reliable AI copilots for your products. Our platform converts API docs, DB schemas, and multi-modal documents into fully operational AI copilots that integrate effortlessly with just a few lines of code.\n* During the setup process, each copilot is equipped with a custom orchestrator, trained to effectively transform user intents into concrete actions.\n* Maintain complete control over the product interface with the ability to customize the permitted actions, enabled workflows, and the copilot's response style to users.\n* Once integrated, the AI copilot becomes a superuser of your product – an indispensable assistant always at your users' disposal, enabling them to harness your product's full potential.\n\n![uploaded image](/media/?type=post&id=73256&key=user_uploads/1362282/43dd32fe-2473-482c-9da0-ab5577b8c551)\n\n### 🤝 Ask: How you can help\n\n* If you're a B2B company exploring ways to integrate AI copilots into your products effectively, we'd love to [hear from you](https://www.getspine.ai/)!\n* If you're unsure how Spine can streamline your complex workflows, drop us a note at [founders@getspine.ai](mailto:founders@getspine.ai)\n\nHelp us spread the word! Please share this post and join our journey by following us on [LinkedIn](https://www.linkedin.com/company/95072305/admin/feed/posts/) and [Twitter](https://twitter.com/Spine_AI).", "url": "https://www.ycombinator.com/launches/J3Y-spine-ai-propel-your-products-forward-with-ai-copilots", "votes": 63, "created_at": "2023-07-20T14:21:01.092Z" } ] }, { "id": 28842, "name": "Capi Money", "slug": "capi-money", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/249f2d014e80e76b7160b87839d01124197e6690.png", "website": "https://www.capimoney.com", "all_locations": "London, England, United Kingdom", "long_description": "Capi helps businesses in emerging markets make international payments. Importers in emerging markets pay up to 10% to settle invoices and wait weeks for payments to arrive. We’re on a mission to give businesses in emerging markets the same price and speed as we expect in the US and Europe.", "one_liner": "Helping businesses in emerging markets make pay their international…", "team_size": 40, "industry": "Fintech", "subindustry": "Fintech -> Payments", "launched_at": 1690922885, "tags": [ "Fintech", "Payments" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Fintech", "Payments" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/capi-money", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/capi-money.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://linkedin.com/company/capimoney/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/249f2d014e80e76b7160b87839d01124197e6690.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6b6f411e3a5251437d731d9f146806ca81ad3d93.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1237746, "full_name": "Mitch Riley", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Capi Money (S23). Ex COO/CFO/GC of Taptap Send, a unicorn remittance company sending billions of dollars a year into Africa. Spent 4.5 years setting up new markets in Africa and LatAm for GiveDirectly and managing field operations. Recovering lawyer (ex Cravath)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mitchriley/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fd8fc3dff97eccab84a73a6dac7a57fda7397ed3.jpg" }, { "user_id": 1372457, "full_name": "Scott Liddle", "title": "Founder", "founder_bio": "Cofounder leading expansion at Capi Money. Previously CRO/CMO at Taptap Send, a unicorn remittance app: launched 25 markets across Africa, Asia and LatAm. Founded SpareHand volunteer platform in the UK: 1M meals delivered in Covid. Special Advisor to Rory Stewart, UK Secretary of State for International Development. Regional Director at Turquoise Mountain managing ~200 ppl across Middle East and Afghanistan. Speaks half a dozen languages.", "is_active": true, "linkedin_url": "https://linkedin.com/in/scott-liddle-890678195", "x_url": "https://twitter.com/ScottDRLiddle", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0c5cbb6fdd72b737b87d44263fb6e1ebc5ca3b62.jpg" } ], "jobs": [ { "id": 71298, "title": "Senior Fullstack Engineer", "url": "https://www.ycombinator.com/companies/capi-money/jobs/SKgykBX-senior-fullstack-engineer", "location": "London Office / Paris, Île-de-France, FR / Dakar, Dakar Region, SN / Abidjan, Abidjan Autonomous District, CI / Douala, Littoral Region, CM", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£80 - £120 GBP", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 75450, "title": "Launcher", "url": "https://www.ycombinator.com/companies/capi-money/jobs/onTuIwb-launcher", "location": "Paris or London", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "£65K - £85K GBP", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 73937, "title": "Capi Money - International payments for importers in Africa", "tagline": "Helping businesses in Africa pay their international suppliers", "body": "Hey everyone, we’re [Capi Money](https://capimoney.com) and we help businesses in Africa pay their international suppliers. Importers in Africa pay up to 10% to settle international invoices and wait weeks for their payments to arrive. We’re giving businesses in Africa the same price and speed as we expect in the US and Europe.\n\n**We recently launched in Senegal** 🇸🇳 and have booked over $1.5m of payments in our first two weeks. We’re launching Cameroon this month and are currently scoping out Egypt.\n\n### **😫 The problem our first customer experienced**\n\nTwo weeks ago Mitch and Scott (2/3 of the founding team) were in Senegal visiting our local agent-distributor, and onboarding our first customers: a bookshop and an industrial soap-maker.\n\nThe former imports books from Europe and sells them in Dakar. All their revenue is in local currency (XOF) but their supplier invoices are in Euros. They’ve struggled to pay these invoices as:\n\n* Either the bank doesn’t have any Euros to sell them or if they can find Euros elsewhere (e.g. a broker), they pay 5%-10% in FX fees; and\n* They have to wait weeks and sometimes months for payments to reach their suppliers, which risks their being cut off by their supplier for late payment.\n\nWe provide an alternative source of foreign currency by finding organisations that are sending money into Senegal and therefore want XOF and are willing to trade Euros for it. All of this happens behind the scenes and all they need to do is create the transaction in our online platform and send us the XOF, just like a US business using Wise or Payoneer.\n\n### **👋 A bit about us**\n\n![uploaded image](/media/?type=post&id=73937&key=user_uploads/386554/aedb1a43-f231-4fb4-a6b4-4481c1ce0cc3)\n\nMitch (right) and Scott (middle) met at Taptap Send, a remittance app that sends billions into Africa and Asia every year. There they were COO/CFO and CRO/CMO, and have spent a decade each working in emerging markets. Tom (left) is a 3rd-time founder having been co-founder and CTO at Hubble (a B2B marketplace) and P4SD (a web3 NFT company).\n\n### **🙏 How you can help**\n\nGet in touch if you or anyone you know is:\n\n* A business in Africa making regular international payments;\n* An international exporter, selling goods or services into Africa;\n* A business regularly sending funds into Africa (e.g. remittance firm, HR/payroll company)\n\nYou can either sign up to transact on our website (), or reach out to us at [founders@capimoney.com](mailto:founders@capimoney.com)", "url": "https://www.ycombinator.com/launches/JEX-capi-money-international-payments-for-importers-in-africa", "votes": 34, "created_at": "2023-08-09T13:51:31.209Z" } ] }, { "id": 28843, "name": "SID", "slug": "sid", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cac6ad037170806bce925f0d0ed9373eec18f576.png", "website": "https://www.sid.ai", "all_locations": "San Francisco, CA, USA", "long_description": "SID is an AI research center based in San Francisco. We train models that can retrieve and reason over any data source.", "one_liner": "AI research center for retrieval", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1689093789, "tags": [ "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "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/sid", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sid.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sidai/", "x_url": "https://twitter.com/SID_AI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/sidhq", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cac6ad037170806bce925f0d0ed9373eec18f576.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1134710, "full_name": "Maximilian-David Rumpf", "title": "Founder", "founder_bio": "Max is the CEO of SID.ai. Previously, he was a researcher at ETH Zürich, where he worked on AI accelerator design with the professor who developed Google's TPU architecture. Max was awarded a German national excellence scholarship, awarded to 0.5% of German students.", "is_active": true, "linkedin_url": "https://linkedin.com/in/maximiliandavid", "x_url": "https://twitter.com/maxrumpf", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/36a366b6e36d8e32f443ea45b69fca6fd4df26c8.jpg" }, { "user_id": 746723, "full_name": "Lotte Seifert", "title": "Founder", "founder_bio": "Lotte is determined to let people use their data for their own good. She holds a degree in CS from ETH Zürich and a degree in Economics from the University of St. Gallen. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/lotte-seifert", "x_url": "https://twitter.com/lotteellen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9381e5b5b03dfe8c71b03c574051aab9ede94457.jpg" } ], "jobs": [ { "id": 81528, "title": "Research Intern (Summer 2026)", "url": "https://www.ycombinator.com/companies/sid/jobs/SmhVhTs-research-intern-summer-2026", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$5K - $10K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Torch/PyTorch", "Reinforcement learning (RL)" ] }, { "id": 94626, "title": "Research Engineer", "url": "https://www.ycombinator.com/companies/sid/jobs/3izpJe0-research-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Torch/PyTorch", "Reinforcement learning (RL)", "CUDA", "Search", "LLMs", "Vector Embeddings", "AI Agents", "MLOps" ] } ], "news": [ { "title": "Is A.I. Startup Funding a Rerun of the Dot-Com Bubble? | Chicago Booth Review", "url": "https://www.chicagobooth.edu/review/is-ai-startup-funding-rerun-dotcom-bubble", "date": "Jul 14, 2023" } ], "launches": [ { "id": 72952, "title": "SID.ai – AI research lab for retrieval", "tagline": "AI research lab for retrieval", "body": "**Intelligence needs Context**\n\nAI is giving humanity a new computer: one that can learn, reason, and act. But intelligence and skills are inconsequential without context. _Context imposes the upper bound._ At SID, we're training models to provide this context. _To connect intelligence to the world._\n\n**Context needs Retrieval**\n\nTo provide the right context, you need to find it first: Humanity has known how to do search on the internet for a while. But great search over everything else has been elusive so far. We think _we have an angle to solve it once and for all_. [SID-1](https://www.sid.ai/research/sid-1), our first agentic retrieval model, doubles embedding-only accuracy and outperforms frontier models on the most complex retrieval tasks.\n\n![uploaded image](/media/?type=post&id=72952&key=user_uploads/1134710/cd8dc357-3db7-4db0-9476-265e176bb6bb)\n\n**SID-1**\n\n_SID-1 is our first model for agentic retrieval: 1.8x more likely to surface the right results than embedding-only search across general knowledge, finance, science, legal, and email. It is more accurate than agentic retrieval based on Gemini 3 Pro, Sonnet 4.5, and GPT-5.1 at its highest compute setting, while being 24x faster (144 vs 5.7 seconds)._\n\nTraditional retrieval pipelines pre-program each step: query rewriting, searching, reranking. SID-1 retrieves like a human would: it searches, reads results, and refines its queries, taking as many steps as needed. We trained SID-1 on questions that take human researchers over an hour to solve.\n\nSID-1 is drop-in compatible with existing retrieval systems. It is designed to work as a subagent with larger LLMs like GPT-5 or Sonnet. Teams running embedding-only retrieval or RAG can typically integrate it in an afternoon.\n\nStep-change improvements in retrieval create new winners. Claude Code was better at finding the right file, unlocking larger code bases and driving massive adoption for Anthropic. Open Evidence made retrieving over medical research easier and took doctors by storm. Looking back further, relational was better than hierarchical for databases, creating Oracle. Better web search created Google. [_We're working closely with a small group of companies who want that edge now for their domains._](https://tally.so/r/gDDVMd)\n\nGiven we're compute-limited, we're rolling SID-1 out slowly. We're offering SID-1 through our API, AWS Bedrock, and as a self-hosted model. _If you're interested in SID-1, please sign up to our [waitlist](https://tally.so/r/gDDVMd), follow us on [X](https://x.com/SID_AI), or read the [technical report](https://www.sid.ai/research/sid-1-technical-report) for more details._", "url": "https://www.ycombinator.com/launches/Iye-sid-ai-ai-research-lab-for-retrieval", "votes": 135, "created_at": "2023-07-11T18:57:41.923Z" } ] }, { "id": 28844, "name": "Alguna", "slug": "alguna", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e2a3ced5969028060bbaaf152193b5b6a2b3982.png", "website": "https://alguna.com", "all_locations": "London, England, United Kingdom; Remote", "long_description": "We are Alguna, building a modern platform that helps B2B companies price deals, send quotes, bill customers, and collect payments - all in one place.\r\n\r\nOur mission is to create the most efficient revenue engine for B2B SaaS.\r\n\r\nToday, many companies run these processes with spreadsheets and a patchwork of separate tools. That leads to slow approvals, manual work, mistakes, and missed revenue—especially as pricing gets more complex.\r\n\r\nAlguna replaces that mess by connecting the entire flow from **quote to cash**: what sales sells becomes what finance bills, automatically. We help teams automate invoicing, handle usage-based or custom pricing, and reduce back-and-forth between sales, finance, and engineering.\r\n\r\nThe result: growth-stage startups and enterprises can close deals faster, bill accurately, and scale revenue operations without adding headcount or building internal systems.\r\n", "one_liner": "AI-Native CPQ & Billing for Modern Pricing Models", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1691026781, "tags": [ "Fintech", "SaaS", "B2B", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United Kingdom", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "**What is the core problem that Alguna solves?**\r\n\r\nB2B companies struggle to turn what sales sells into what finance can reliably bill and collect.\r\n\r\nPricing, quoting, contracts, usage, invoicing, and payments often live in different tools—and the “glue” is spreadsheets, manual approvals, and one-off engineering work. As soon as a company introduces custom terms (discounts, ramps, multi-year deals, usage-based pricing, credits, multi-entity billing), the process breaks down: quotes don’t match invoices, billing becomes manual, and finance is stuck cleaning up exceptions every month.\r\n\r\nAlguna solves this by providing a single platform that unifies **pricing, CPQ, billing, invoicing, payments, usage metering, and collections automation** into one **quote-to-revenue** system.\r\n\r\n**Why is this a big problem?**\r\n\r\nBecause revenue operations scale poorly when the infrastructure is fragmented.\r\n\r\nThe impact is measurable:\r\n\r\n\\- **Revenue leakage:** missed invoices, incorrect pricing, unbilled usage, and manual errors compound over time.\r\n\r\n\\- **Slower deal cycles:** approvals and “can we even bill this?” questions delay closing.\r\n\r\n\\- **High operational cost:** finance and revops teams spend their time reconciling systems instead of controlling revenue.\r\n\r\n\\- **Engineering dependency:** product teams get pulled into custom billing logic, integrations, and edge cases.\r\n\r\n\\- **Harder forecasting and reporting:** when the source of truth is scattered, finance cannot trust the numbers.\r\n\r\nAs more companies adopt **usage-based**, **hybrid**, and **AI-driven** pricing models, the gap between modern monetization and legacy revenue stacks keeps widening.\r\n\r\n**What made you decide to work on it?**\r\n\r\nWe saw the same pattern across fast-growing B2B teams: the product and go-to-market motion moves quickly, but the revenue stack stays stuck in old systems built for simpler subscriptions.\r\n\r\nTeams end up running “mission-critical revenue” on spreadsheets and disconnected tools—because replacing them is painful, and building in-house is expensive and distracting. Yet the cost of doing nothing is continuous: every custom deal creates more manual work, more risk, and more leakage.\r\n\r\nAlguna exists to modernize that foundation. We’re building the revenue management engine B2B companies need to sell flexibly, bill accurately, and scale without chaos—by unifying the quote-to-revenue lifecycle and automating the back office." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "We will know Alguna succeeded when **B2B monetization stops being a patchwork of spreadsheets, PDFs, and disconnected tools**—and becomes a single, programmable revenue engine that companies can run with speed, precision, and confidence.\r\n\r\nThe world today is stuck with legacy revenue stacks that were built for simpler subscription businesses. Meanwhile, selling is changing fast: companies sell across **PLG (self-serve), SLG (custom quotes), and enterprise procurement**, pricing models are shifting toward **usage, hybrid, credits, and outcome-based**, and deep integrations + two-way sync across systems are becoming table stakes. In that environment, “good enough” billing and CPQ breaks down.\r\n\r\nAlguna’s vision is to become the **one source of truth for revenue**—the system that orchestrates pricing, quoting, contracting, usage, billing, invoicing, payments, and collections end-to-end.\\\r\n\\\r\nWhat will be different about the world\r\n\r\n**1) Revenue operations becomes “real-time” and automated**\r\n\r\n* Quotes turn into clean billing schedules automatically.\r\n* Usage becomes billable without manual reconciliation.\r\n* Invoices and collections run with far fewer human interventions.\r\n* Finance teams stop doing back-office cleanup as a permanent job.\r\n\r\n**2) Pricing evolves as quickly as the market**\r\n\r\n* Teams can run pricing experiments safely across channels.\r\n* Guardrails and approvals are built-in, not enforced by spreadsheets.\r\n* Companies avoid pricing drift, one-off logic, and costly exceptions.\r\n\r\n**3) Selling becomes faster, with less internal friction**\r\n\r\n* Sales can confidently sell complex deals without engineering dependency.\r\n* Deal desks can scale without becoming a bottleneck.\r\n* Enterprise flexibility is supported without creating operational chaos.\r\n\r\n**4) Businesses scale with smaller teams and higher reliability**\r\n\r\n* A 10-person team can grow rapidly without inheriting a brittle revenue stack.\r\n* Forecasting becomes more trustworthy because the underlying system is consistent.\r\n* Revenue leakage becomes the exception, not the norm." } ], "url": "https://www.ycombinator.com/companies/alguna", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/alguna.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/algunahq/", "x_url": "https://twitter.com/AlgunaHQ", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/alguna", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e2a3ced5969028060bbaaf152193b5b6a2b3982.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/62/1694195946018-qz3wkvl5t4-8d89e3293da5a4ef13c2c5e6b0b45914/4631d1271da0148a6826e54bf7e3dfea.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022713Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=7a76a7cb370f71bac2472008842548d055627307cb53e1ada01868ae81bca652", "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1225753, "full_name": "Aleks Đekić", "title": "Founder", "founder_bio": "Co-Founder and CEO of Alguna (S23) – Spent most of his career building payment products and apps in Fintech. At Dojo (Square for the UK), built a custom revenue management platform for 600 people in GTM org. Most recently, at Primer.io, a global payment orchestration fintech, scaled payments and commerce ecosystems to 100+ connections.", "is_active": true, "linkedin_url": "https://linkedin.com/in/aleksdjekic", "x_url": "https://twitter.com/aleks_djekic", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9d661323027ef45a31678c9386effdc2480fbe0c.jpg" }, { "user_id": 1358800, "full_name": "Jamie MacLeod", "title": "Founder", "founder_bio": "Co-founder and CTO of Alguna. Passionate about driving efficiency through software and building effective engineering teams. Previously a founding engineer at Primer, a payment orchestration fintech, scaling the engineering org from 30 to 100 and leading a group of ~20 engineers.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jamie-macleod", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/84d388cd4ccb0bdf436c2c732a88b8d5831e6074.jpg" } ], "jobs": [ { "id": 88762, "title": "Forward Deployed Engineer (FDE)", "url": "https://www.ycombinator.com/companies/alguna/jobs/9JBITuK-forward-deployed-engineer-fde", "location": "GB / IE / CA / US / Remote (GB; IE; CA; US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$80K - $125K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 88765, "title": "Account Executive – Enterprise", "url": "https://www.ycombinator.com/companies/alguna/jobs/3YZc7AG-account-executive-enterprise", "location": "New York, NY, US / Remote (US; CA)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$90K - $150K", "equity_range": "", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 88766, "title": "Sales Development Representative (SDR)", "url": "https://www.ycombinator.com/companies/alguna/jobs/P4UawoN-sales-development-representative-sdr", "location": "GB / Remote (GB)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$45K - $65K", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 99742, "title": "Customer Success Manager - EMEA", "url": "https://www.ycombinator.com/companies/alguna/jobs/favvk7b-customer-success-manager-emea", "location": "GB / IE / DE / Remote (GB; IE; DE)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$60K - $115K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 99764, "title": "Customer Success Manager - North America", "url": "https://www.ycombinator.com/companies/alguna/jobs/xEKypni-customer-success-manager-north-america", "location": "New York, NY, US / Remote (US; CA)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$75K - $120K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Exclusive: Alguna exits stealth with $4m seed round", "url": "https://www.fintechfutures.com/venture-capital-funding/exclusive-yc-backed-alguna-emerges-from-stealth-with-4m-seed-round", "date": "Sep 25, 2025" } ], "launches": [ { "id": 76099, "title": "Alguna – Modern pricing, quoting & billing platform", "tagline": "We help companies increase revenue and close more deals, faster. ", "body": "# **📝 TL;DR:**\n\n> [Alguna](https://alguna.io) is a modern pricing, quoting, and billing platform for B2B SaaS. Companies use it to unify the quote-to-revenue process by automating complex and manual back-office operations. [Book a demo](https://alguna.io) to learn more.\n\n# **❌ Problem**\n\nAs companies grow, they want to offer more customized deals to their larger customers, capture data around product usage, forecast revenue, and experiment with pricing. As they scale, instead of graduating to better tools, they default to using spreadsheets and manual processes to connect single-point solutions.\n\nAfter interviewing over 100 company leaders, we’ve seen what consequences information siloes and fragmented solutions can have on the companies’ growth trajectories. \\\nFrom light issues like hiring people to copy/paste data between systems to fundamental ones like not trusting your revenue data or asking your customers to tell you how much they used your product.\n\n> _In times of growth at all costs, companies could’ve turned a blind eye to these imperfect workflows; however, as 2023 loomed over the whole SaaS world, these revenue-impacting inefficiencies represent the line between company survival and the slow death of running out of money without even realizing it._\n\n# ✅ **How Alguna works**\n\nOur core premise is to enable our customers (growth-stage startups and enterprises) to flexibly close more deals faster without worrying about internal limitations and relying on finance and engineering teams.\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/9b1a2f85-6a49-4420-8839-23d7193526fa)\n\n> We’ve built **an end-to-end solution** covering the whole customer lifecycle while **complementing** existing **sales** (CRMs), **finance** (ERPs/Accounting), and **engineering** tools.\n\n**Configure pricing & create custom quotes**\n\n* Set up pricing and packaging across all sales channels while supporting any pricing model (including subscriptions, usage-based, platform fees, etc.)\n* Create the most customizable plan options with custom product billing options, one-off integration fees, special discounts, and complex renewal terms.\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/d5c62cfa-bb64-45bd-b544-4ff878cbc363)\n\n**Streamline the contract signature flow**\\\nAlguna provides an embedded signature experience directly from the proposal you send customers. This is then automatically connected to tools upstream (CRMs) and downstream (ERPs), enabling the cohesive external (prospects/customers) and internal experience.\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/f722da69-f9ef-4655-be51-676d57731dbb)\n\n**Seamless and reliable invoicing experience**\\\nSince the pricing models and quotes are natively integrated, everything is automatically connected with the billing engine, enabling the accurate and reliable customer billing experience directly via Alguna or ERP tools of your choice (Stripe Invoicing, Netsuite, Xero, Quickbooks, Bill)\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/8802ecb0-928d-4ff8-9bf2-d6593fae75a3)\n\n**Source of truth for revenue metrics** \\\nEmpower sales and customer success teams with usage data to drive more revenue and unlock new upsell opportunities with real-time revenue data.\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/f34387fc-134a-471f-bba3-0d38d1e992f8)\n\n# **🏟️ Why us**\n\nWe ([@Jamie MacLeod](https://www.linkedin.com/in/jamie-macleod/) & [@Aleks Đekić](https://www.linkedin.com/in/aleksdjekic/)) met at a fintech startup where we helped scale the payments and automation teams and products. While trying to launch new products, we experienced this problem firsthand and decided to solve it once and for all. Previously, [@Aleks](https://www.linkedin.com/in/aleksdjekic/) led the product development of internal tools _just like_ Alguna for a 600-person commercial team at one of Europe's fastest-growing payment processing companies.\n\n# **🚀 What’s next?**\n\n> **_We’re on a mission to build the most efficient revenue management engine covering the whole customer lifecycle._**\n\n* [Book a demo](https://alguna.io) if you want to learn more about Alguna.\n * Refer us to anyone you know who could benefit from our solution via [founders@alguna.io](mailto:founders@alguna.io)\n * If you’d like to share insights and feedback, our inbox is always open.\n* Follow us on [Twitter](https://twitter.com/AlgunaHQ) or [LinkedIn](https://www.linkedin.com/company/algunahq) for new product updates and revenue management best practices.", "url": "https://www.ycombinator.com/launches/JnP-alguna-modern-pricing-quoting-billing-platform", "votes": 120, "created_at": "2023-11-09T10:18:48.254Z" } ] }, { "id": 28845, "name": "Campfire", "slug": "campfire-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b964d406b730adef7e1ad9fcd6fdf8775ca296fc.png", "website": "https://campfire.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Campfire is the modern accounting platform for startups and mid-size tech companies. The fastest growing YC companies such as Replit, Posthog, SpeakAI run on Campfire. Our product includes an accounting general ledger that has multi-entity support and advanced financial reporting such as P&L by department and contribution margin by customer. Migrate from legacy accounting software to Campfire for your accounting and financial reporting to automate manual tasks and streamline workflows to unlock financial insights and accelerate the monthly close process.", "one_liner": "The AI Native ERP for the fastest growing companies.", "team_size": 105, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1690778245, "tags": [ "Fintech", "SaaS", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/campfire-2", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/campfire-2.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/95696443", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b964d406b730adef7e1ad9fcd6fdf8775ca296fc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 815940, "full_name": "John Glasgow", "title": "Founder", "founder_bio": "CEO / Co-founder of Campfire, the modern accounting platform for startups and mid-size tech companies. Previously, I was VP, Business Development and Partnerships at Bill.com where I reported to the CFO after joining via the acquisition of Invoice2go for $625 million. At Invoice2go, I led corporate development and partnerships as an executive reporting to the CEO. Prior experience includes corporate strategy at Adobe and tech M&A.", "is_active": true, "linkedin_url": "https://linkedin.com/in/johnglasgow", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/21cd3fba87145cf1c09f9f10cffb6769bca4c6a2.jpg" } ], "jobs": [ { "id": 68433, "title": "Full-Stack Engineer", "url": "https://www.ycombinator.com/companies/campfire-2/jobs/kwkHQFR-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $185K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Python", "TypeScript" ] }, { "id": 77546, "title": "Accounting Solutions & Customer Success Manager", "url": "https://www.ycombinator.com/companies/campfire-2/jobs/IDv4F5T-accounting-solutions-customer-success-manager", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$100K - $130K", "equity_range": "", "experience": "1+ years", "visa": "Will sponsor", "skills": [] } ], "news": [ { "title": "The ERP for the AI Revolution is here", "url": "https://www.youtube.com/watch?v=X1NXnLRNIfM", "date": "May 20, 2026" }, { "title": "Campfire $65 Million Series B Co-Led by Accel & Ribbit: $100M raised in 12 weeks to Meet Surging Demand", "url": "https://campfire.ai/blog/campfire-65-million-series-b-co-led-by-accel-and-ribbit", "date": "Oct 15, 2025" }, { "title": "Tiny AI ERP startup Campfire is winning so many startups from NetSuite, Accel led a $35M Series A  | TechCrunch", "url": "https://techcrunch.com/2025/06/30/tiny-ai-erp-startup-campfire-is-winning-so-many-startups-from-netsuite-accel-led-a-35m-series-a/", "date": "Jun 30, 2025" } ], "launches": [ { "id": 78850, "title": "Campfire - The modern version of NetSuite", "tagline": "Campfire powers the accounting for mid-size tech companies", "body": "tl;dr: [Campfire](https://meetcampfire.com/) is an accounting platform for startups and mid-size tech companies that are outgrowing QuickBooks or Xero, or are frustrated with NetSuite or Sage. It’s a modern general ledger with advanced features such as multi-entity support and advanced revenue reporting in a modern, consumer-grade interface.\n\n**Revenue dashboard**\n\n![](https://lh7-us.googleusercontent.com/vNK1saTKs-pUioJMvekmx0HD-W31n_MBiUdMPRGN1IPkDQ9GZYCsPvvRagD9KX4AVxPp0vVYFXz0G9h_-WUhqujPCLefCUb7ZZIQ34KUOdWsv0NgGJk3Be6AWqlxmyyg30WsrJZfGhPK9nlGVjXn44s)\n\n---\n\nWe’ve been building our accounting platform to compete with Netsuite since day one at Campfire, but it’s a massive undertaking, so our initial product launch was one of our features - [Revenue Automation](https://meetcampfire.com/revenue-automation/) for unified invoicing/payments, revenue accounting, and reporting. And today, I’m thrilled to share more about our flagship product - [Core Accounting](https://meetcampfire.com/core-accounting/). It’s a modern accounting platform with companies such as Carbon Direct, Populi, and Delphia using the product. We’ve been beta testing our general ledger since July with customers that range in size from 10 employees to 150-employee global companies and are now ready to onboard more customers. Our typical customer migrates to Campfire from QuickBooks and Xero, but we’ve also migrated customers from mid-market ERPs like Sage Intacct and NetSuite.\n\n**Multi-entity income statement:**\n\n![](https://lh7-us.googleusercontent.com/TEOi8cfTZbfz5jIat7AQ9jyKDZAACh6xRhu6LnB4USU1zwe4bBfwA6_D8HFwHqXX1gYfcRPLSSibjFI9oJ_QTi9qc8au9Zh_TybxyGGb8tkRhI68BBDwd8QO7QFiaLuTP2Rj6tidNHI7vxmfbumeC-0)\n\nMy co-founder, [Fernando](https://linkedin.com/in/fsanmartinjorquera), and I ([John](https://linkedin.com/in/johnglasgow)) have scaled multiple accounting software companies including Invoice2go (acquired by Bill.com for $600M+) and Trovata (powering the treasury accounting for companies like Block and Etsy).\n\n**Campfire benefits**\n\n* **Turn the lights on for your financial data** - Unlock actionable and timely KPIs and financial insights with advanced financial reporting for increased visibility such as contribution margin by customer and P&L by department. Empowering executives to make informed, timely decisions.\n* **Scale from startup to global operations** - The first modern general ledger that effortlessly scales globally with your company via support for muti-entity and multi-currency financial consolidation, advanced revenue automation, and multi-dimensional reporting.\n* **Accelerate the accounting close process** - In the current environment, we’re all looking to grow faster while cutting burn. Streamline accounting and financial reporting workflows to free up resources so your team can focus on strategic, high-value work.\n* **API-first approach** - Our [**modern APIs**](https://api.meetcampfire.com/api/docs/) power custom integrations for customers that have automated custom accounting workflows in a matter of days.\n\n**Quotes from a few customers:**\n\n> “We migrated from Sage Intacct to Campfire to accelerate our close process. It’s the only solution in the market that is modern, yet has the power to support our global operations across multiple legal entities and currencies.”\n>\n> Andrea Burton, CPA | VP of Finance Delphia (YC W18)\n\n> “When we were on QuickBooks, it was obvious the product was not built for tech companies like ours. The migration to Campfire was painless and now we are able to make informed decisions and track KPIs as we scale.”\n>\n> Jon Yoo, CEO @ Suger (YC W23)\n\n## **Get started with Campfire**\n\nSend me an email ([**john@meetcampfire.com**](mailto:john@meetcampfire.com)) or check out our website at [**www.meetcampfire.com**](http://www.meetcampfire.com/) to learn more and schedule a demo.", "url": "https://www.ycombinator.com/launches/KVm-campfire-the-modern-version-of-netsuite", "votes": 44, "created_at": "2024-02-28T16:13:45.104Z" }, { "id": 73767, "title": "Campfire ⛺ 🔥 : Revenue management for Series A+ tech companies", "tagline": "Your investor updates just got a lot better", "body": "**TL;DR**\n\nMost Series A+ tech companies still manage revenue recognition, attribution (expansion, churn, etc.), and KPIs in spreadsheets. Campfire simplifies the entire process by ingesting your revenue data (customer contracts, Stripe data, etc.) through AI to automate your revenue recognition, invoice management and KPI reporting for any business model (subscription, usage, marketplace, etc.). We’re currently performing the data migration (at no cost!) for new customers through the end of August. Check us out at [meetcampfire.com](http://meetcampfire.com)!\n\n![uploaded image](/media/?type=post&id=73767&key=user_uploads/815940/5446f7b9-e256-4832-9844-aeca965da002)\n\n_Quick tour of our dashboard page_\n\n**How we know this is a problem**\\\nAs an exec at Invoice2go (90 employees, Series C), one of the largest pain points [John](https://bookface.ycombinator.com/user/815940) encountered was that the company had outgrown QuickBooks, but the migration to NetSuite didn’t make sense due to pricing, resourcing and the required migration effort. After selling the company to and leading partnerships at [Bill.com](http://Bill.com), John noticed significant innovation happening around core accounting (Brex, Zip, Rippling, etc), but accounting software itself like NetSuite hadn’t been refreshed in 20+ years.\n\nAt the same time, [Fernando](https://bookface.ycombinator.com/user/847698) led back-end engineering at Trovata, which is treasury software for customers like Square and Etsy. He realized there was an opportunity to bring enterprise-grade automation to mid-size companies.\n\nBringing our experiences together, we know that we can make a difference in an area that hasn’t seen improvements in decades. \n\n![uploaded image](/media/?type=post&id=73767&key=user_uploads/815940/eab61627-c57c-4806-a75c-2dbc58c577db)\n\n_This was the moment when it sunk in that we’re really in Y Combinator!_\n\n**Our Solution**\\\nTo fix this inefficiency, we’ve launched _Revenue Management_ as our first product. We’re migrating accounting and finance teams out of spreadsheets and into automated, AI-powered software that ingests customer contracts and computes revenue recognition and KPIs (ARR, churn, etc.) to improve accuracy, saving both time and money. Early customers are saving 90% of the time it takes to manage revenue, allowing their accounting/finance teams to focus on high-value, impactful work instead of performing manual tasks in spreadsheets. Your investor/Board updates just got a lot better, and your accounting teams just got a lot more efficient. Our product is fully operational for any business model and referenceable with happy campers (pun intended!) like Jenny Jao, Head of Finance at Sprig (Series B) who said:\n\n> Our time-to-value with Campfire was really fast. We're moving our revenue and invoice management out of spreadsheets and into Campfire to automate everything. It's a big win for us.\n\n![uploaded image](/media/?type=post&id=73767&key=user_uploads/815940/ea2da31f-8ee9-4c14-8ac5-41c21ac29be9)\n\n_View of a customer contract_\n\nCampfire works well for any business model from marketplaces managing hundreds of thousands of monthly transactions in a database to enterprise subscription software managing contracts in spreadsheets. Irrespective of business model, Campfire automates your revenue KPI’s for investor/exec updates and monthly journal entry for any accounting software such as QuickBooks and NetSuite. \n\n**Our ask:** We’re looking to connect with finance and accounting leaders at Series A+ tech companies to explore how Campfire can save them between one day and one week every month, while turning the lights on their revenue KPIs to improve exec reporting and investor updates.\n\n**Launch YC Promo:** \\\nWe’re currently performing the entire data migration out of spreadsheets (at no cost!) for new customers through the end of August. Upon first login, view all of your revenue KPIs, attribution, and customer- and product-level revenue analysis with the ability to drill down into the data. Reduce your revenue accounting down to a few clicks per month, and increase your efficiency. 📈\n\n**Check out our website at **[**meetcampfire.com**](http://meetcampfire.com)**, drop me a note at **[**john@meetcampfire.com**](mailto:john@meetcampfire.com)**, or **[**schedule a demo**](https://www.meetcampfire.com/company/meet-campfire)** to get started.**", "url": "https://www.ycombinator.com/launches/JBn-campfire-revenue-management-for-series-a-tech-companies", "votes": 49, "created_at": "2023-08-03T16:54:17.347Z" } ] }, { "id": 28846, "name": "Parea", "slug": "parea", "former_names": [ "OptimusPrompt", "Parea AI", "Parea", "Parea AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/32972e7b6074f606373a477c496dcde4a5e81219.png", "website": "https://www.parea.ai", "all_locations": "New York City, NY, USA", "long_description": "Parea AI is the essential developer platform for debugging and monitoring every stage of LLM application development. We provide testing, evaluation, and monitoring in one unified platform. These capabilities help developers get visibility into LLM responses, quickly test and optimize prompts, and ensure customers get the best user experience.", "one_liner": "Test, evaluate & observe your LLM applications", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1685551349, "tags": [ "Developer Tools", "Generative AI", "SaaS", "DevOps", "Monitoring" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/parea", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/parea.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/parea-ai", "x_url": "https://twitter.com/PareaAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/parea-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/32972e7b6074f606373a477c496dcde4a5e81219.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 699950, "full_name": "Joel Alexander", "title": "Founder", "founder_bio": "Senior Software Engineer at Lyft.\nJ.P. Morgan TMT Investment Banking.\nBA @ Columbia University.\nMSc @ New York University", "is_active": true, "linkedin_url": "https://linkedin.com/in/ajoeljr", "x_url": "https://twitter.com/joel_a_wilde", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7fdaebd022c79889e713b8b3d9e023ba6a0e1b65.jpg" }, { "user_id": 501039, "full_name": "Joschka Braun", "title": "Founder", "founder_bio": "Published my first paper in the highest-ranked number theory journal at age 17. Continued to pursue math until my M.Sc. from NYU as a Fulbright scholar. Noticed AI has more real world applications than math and started researching applications of deep learning to medical imaging at Covera Health. Built semantic search systems and automatic code generation software at Jina AI.\n\nhttps://joschkabraun.com", "is_active": true, "linkedin_url": "https://linkedin.com/in/joschkabraun", "x_url": "https://twitter.com/joschkabraun", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9a835cbd9621cf7321af15246517e2417f3c0063.jpg" } ], "jobs": [], "news": [ { "title": "Y Combinator Demo Day 2023: Our favorites Day 2 | TechCrunch", "url": "https://techcrunch.com/2023/09/07/ycombinator-demo-day-two-summer-2023/", "date": "Sep 07, 2023" } ], "launches": [ { "id": 82145, "title": "Parea AI - Aligned & reliable LLM evaluations", "tagline": "Automatically create LLM-based evals aligned with human judgement", "body": "**tl;dr:** [Parea AI](https://www.parea.ai/) automates the creation of evals for your AI products. We achieve this by bootstrapping an evaluation function with human annotations. Allowing you to automagically turn “vibe checks” into scalable and reliable evaluations aligned with human judgment.\n\n# **😩 The Problem**\n\n![uploaded image](/media/?type=post&id=82145&key=user_uploads/501039/78024ed1-9aa2-4be8-a022-359d82b9ac59)\n\nEvaluating free-form text is often only possible by humans reviewing outputs or using LLMs to evaluate them. The former is laborious, slow, and expensive, while the latter often fails to evaluate the outputs correctly. For LLM evaluations to work properly, one needs to prompt engineer them; i.e., they require their own optimization process.\n\n# **🚀 The Solution**\n\n![uploaded image](/media/?type=post&id=82145&key=user_uploads/501039/b7c1f4c7-b654-40e6-9e1d-84ab93f4ad5f)\n\nThe best [LLM evals](https://joschkabraun.com) are adapted to your particular business use case & data. We've developed a method for uploading human annotations (via CSV or using our [Annotation Queue](https://docs.parea.ai/manual-review/queue)) and bootstrapping an evaluation to mimic the annotations. To create a human-aligned eval, you need as few as 20 sample annotations. Using your new LLM eval is as easy as copying the code into your codebase or using it directly via Parea's API. Check out [our docs](https://docs.parea.ai/manual-review/bootstrapped-eval) to see the complete workflow.\n\n# **🙏 Our Ask**\n\n* **Get started** on [**our free tier,**](https://app.parea.ai/sign-up) or [**book a chat**](https://calendly.com/parea-ai/chat) to discuss how we can help you evaluate your AI app!\n* **Support our** [**launch** **tweet**](https://x.com/JoschkaBraun/status/1812884216444510233) and follow us on [**LinkedIn**](https://www.linkedin.com/company/parea-ai/) and [**Twitter**](https://x.com/PareaAI)\n* **Share Parea** **AI** with anyone you know who is facing challenges [evaluating AI & LLM systems](https://joschkabraun.com).", "url": "https://www.ycombinator.com/launches/LMv-parea-ai-aligned-reliable-llm-evaluations", "votes": 8, "created_at": "2024-07-15T16:47:45.697Z" }, { "id": 73431, "title": "Parea AI – DataDog for LLM apps", "tagline": "Parea AI helps developers ideate, evaluate, and manage LLM-powered applications to consistently deliver quality user experiences.", "body": "**TL;DR:** [**Parea AI**](https://www.parea.ai/?utm_source=yc&utm_medium=post&utm_campaign=launch_yc&utm_content=tldr) is the essential developer platform for debugging and monitoring every stage of LLM application development. We provide debugging, testing, evaluation, and monitoring in one unified platform. These capabilities help developers get visibility into LLM responses, quickly test and optimize prompts, and ensure customers get the best user experience.\n\n![uploaded image](/media/?type=post&id=73431&key=user_uploads/699950/7cd2fa60-436e-46c0-b266-b88f3fd66b8c)\n\n### 🤔 **The Problem**\n\nLLMs hold infinite promise, but translating this potential into practical applications can be complex. Crafting precise prompts or building effective chains, tracking their performance, and optimizing them currently involves a disparate array of tools and a steep learning curve, leading to decreased productivity and increased time to market. This trial-and-error process can become taxing; in the words of one of our customers, **\"reading 1000s of words from ChatGPT outputs a day takes the fun out of building**.**\"**\n\n### 💡 **The Solution**\n\nParea was conceived to streamline this journey by simplifying the entire process of creating and managing LLM-powered systems. Our intuitive UI enables developers to **debug and test** their **prompts/chains**, offering deep visibility into the best-performing changes that dramatically improve LLM responses. The built-in Lab module lets you **compare various prompts, models, and parameter configurations side by side**, transforming rigorous testing into an insightful and fun task. Post-deployment, our robust **API ensures you have comprehensive analytics**, performance insights, and a complete tracking system for optimizing your application to excel in delivering user experiences.\n\n### 🚀 **Who is it for:**\n\nParea is for developers, AI enthusiasts, and organizations with a vision to leverage the power of LLMs. Whether you're a small team working on an LLM-driven product or a large company developing complex LLM-powered applications, **Parea simplifies the process and accelerates your time-to-productivity**.\n\n### 🎉 **Meet the Parea team**\n\nJoel and Joschka met in New York City and bonded over philosophy, learning, and of course, start-ups!\n\nJoel is a true Renaissance man. His quest has led him from a published microbiology researcher to International Politics at the Council of Foreign Relations, to learning Russian in Moscow, working on >$100B of M&A deals at J.P Morgan, and most recently honing his self-taught coding skills as a SWE at Lyft. With Parea AI, he's committed to enhancing the productivity of every AI builder.\n\n[Joschka](https://joschkabraun.com) is our Wunderkind. He published a paper in the highest-ranked Journal for Number Theory at age 17, graduated college at 19, took a gap year to do Kung Fu in China, then completed his Master's at NYU as a Fulbright scholar. Joschka spent the last 3 years on the AI/ML frontline doing computer vision at Covera Health, and semantic search & LLMs at Jina. Parea was born to tackle the issues he'd faced in debugging and building LLM applications like DevGPT.\n\n![uploaded image](/media/?type=post&id=73431&key=user_uploads/699950/4bdf0da2-6bfd-4139-8f0c-ea7e826fd062)\n\n### ❤️ **Our Ask**\n\nWe invite you to explore [Parea’s](https://www.parea.ai?utm_source=yc&utm_medium=post&utm_campaign=launch_yc2&utm_content=cta) capabilities for your LLM solution and join our welcoming community. Follow us on [Twitter](https://twitter.com/PareaAI) and on [LinkedIn](https://www.linkedin.com/company/parea-ai/).\n\nIf you have any questions or would like a personalized onboarding session for your team, write us at [founders@parea.ai](mailto:founders@parea.ai)", "url": "https://www.ycombinator.com/launches/J6N-parea-ai-datadog-for-llm-apps", "votes": 128, "created_at": "2023-07-26T03:34:53.972Z" } ] }, { "id": 28847, "name": "Venta AI", "slug": "venta-ai", "former_names": [ "order.link", "venta" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8e1f54e54298ba1737d8a6f166aad7f707a28d29.png", "website": "https://www.getventa.ai", "all_locations": "", "long_description": "Venta AI supports sales teams in Europe with targeted outreach. Our AI employee can access the best companies and contact details and carry out automated outreach in compliance with EU regulations.", "one_liner": "The compliant AI colleague for sales teams in Europe", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1686817424, "tags": [ "Sales", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "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/venta-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/venta-ai.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/ventaai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8e1f54e54298ba1737d8a6f166aad7f707a28d29.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/835c469f8e2d5cd9c6a3a277c18df026926e50e8.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1353fe7ec61bc646a781581f38cdab939e9fa6be.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1367242, "full_name": "Lucas Spreiter", "title": "Founder", "founder_bio": "Lucas is the co-founder of Venta AI. While studying engineering and IT at the Technical University of Munich he built electric race cars, industrial automation systems and a Hyperloop pod that won the SpaceX Hyperloop competition in 2017. After graduating he founded a company that developed AI systems for enterprises. With his company Venta AI he works on the mission to develop AI employees for the European Market.", "is_active": true, "linkedin_url": "https://linkedin.com/in/lucas-spreiter", "x_url": "https://twitter.com/lunetique_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6df6cd987e3c2231823ce0de570dedc278bc9312.jpg" }, { "user_id": 1365695, "full_name": "Stefan Reuther", "title": "Founder", "founder_bio": "Stefan is the co-founder of Venta AI. He taught himself coding during high school and started his first job as a software engineer at Linde at the age of 18. \nLater, while studying AI at the University of Amsterdam, he founded Unetiq, an AI enterprise software consultancy which he sold before starting Venta.", "is_active": true, "linkedin_url": "https://linkedin.com/in/stefan-reuther", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2ae48204f1b9abe147b7e76a3402bfbd13bb87c5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 117942, "title": "Venta AI Reengage - turn your dead leads into pipeline", "tagline": "Your sales reps work 50 accounts. Venta AI works the other 40,000: who's ready to buy, why now, and what to say.", "body": "Hey everyone!\n\nLucas and Stefan from Venta AI here. For the past two years we've helped companies win new customers via email, LinkedIn, calls and physical letters.\n\nRecently one of our customers found a new use-case for our platform: instead of cold outbound he sent personalized messages to existing contacts and achieved four times as many replies as our standard user. But when he wanted to scale this use case the information he needed was spread across his CRM, his ERP and three spreadsheets.\n\nSo, today we're launching Venta AI Reengage. It finds the untouched leads worth talking to, figures out why now, and reaches out for you.\n\n**TL;DR:** Venta AI Reengage reads whatever you have: CRM, ERP or just spreadsheets, spots the contacts who are drifting away or are ready to buy again, and reaches out to them. Thanks to our AI-based scoring and multi-channel outreach you can treat all of your contacts like key accounts, and get 4x more replies than with cold outreach.\n\n\n\n**Every CRM is a graveyard**\n\nEvery CRM we connect to Venta AI tells the same story: tens of thousands of contacts, but most with no interaction. Even our own: 10,583 contacts. 1,407 have heard from a human at Venta AI in the last three months. 4,335 never have at all.\n\nAnd the CRM is only half the picture. For a full view of a customer you would also need the order history, the support tickets, and the spreadsheet the sales manager keeps to himself. Nobody has the time to pull all of that together for one contact, let alone thousands of them.\n\n**Launching Venta AI Reengage - Treat every customer like an A customer**\n\n![uploaded image](/media/?type=post&id=117942&key=user_uploads/1367242/596c0cc9-df67-4f85-9905-d7bb0b5331fc)\n\nVenta AI Reengage combines what your systems know with what's happening outside, and surfaces the contacts worth a message today.\n\n* **Connect what you have.** Standard CRMs like HubSpot and Salesforce work out of the box. For everything else our FDE team builds the connection with you.\n* **Venta AI finds the reasons to talk.** Replacement cycles, dropped order volume, contract end dates, reopened tickets, job changes at the account, funding, news. You get a ranked list of contacts worth talking to, each with the reason it surfaced.\n* **Personalized messages.** Every message is written for one person: their order history, the last conversation they had with you, and the signal that surfaced them.\n* **You stay in control.** Nothing goes out without approval. Review every message before it sends, or set rules and let it run for the segments you trust.\n* **Reach out on the right channel.** Email, LinkedIn, calls or a physical letter, sent from the same Venta AI platform you can also run your cold outreach.\n\n**Our ask**\n\nWe're looking for B2B companies that sell repeat business, ideally an online shop, a wholesaler, a parts or supplies business. Send us a CSV export of your order history and we'll show you which of your customers are drifting away and how you can win them back.\n\nFeel free to contact us at [lucas@getventa.ai](mailto:lucas@getventa.ai)", "url": "https://www.ycombinator.com/launches/UgI-venta-ai-reengage-turn-your-dead-leads-into-pipeline", "votes": 6, "created_at": "2026-10-02T14:28:15.537Z" }, { "id": 88760, "title": "Venta AI - the AI SDR for multi channel outbound with letters", "tagline": "Global and EU compliant outreach. Run targeted email, LinkedIn and letter campaigns.", "body": "Hey YC!\n\nWe are Lucas and Stefan from Venta AI. A year ago we launched an outreach tool for Europe and soon had to learn about EU-compliance laws. Since cold mailing is not legal in most of Europe, we implemented LinkedIn and letters as alternative and highly effective outreach channels. Today we are launching Venta AI 2.0 -compliant AI SDR that can run multi-channel outreach campaigns to highly targeted prospects globally.\n\n**TL;DR:** Venta AI is a legally compliant AI SDR that automates prospecting and cold outreach via letters, LinkedIn and email. Thanks to our AI-based qualification and multi-channel approach you can reach every customer, avoid landing in SPAM and increase your reply rates at least 2x.\n\n[**https://www.youtube.com/watch?v=0BjDrlGZCb0**](https://www.youtube.com/watch?v=0BjDrlGZCb0\\*\\*)\n\n**Meet Europe’s strict regulations on cold outreach**\n\nWhen we started cold outreach, compliance wasn’t top of mind. We knew that many EU countries have restrictions and informed our users about them. But soon enough one user received a cease and desist letter for sending a cold email and had to pay a hefty fine. This incident prompted us to take a closer look. EU regulations generally forbid sending electronic messages without an explicit opt-in. In many cases, enforcement might be lax, but if you run afoul of these laws, you could face everything from a cease and desist letter (with fines in the hundreds) to a lawsuit (potential fines of up to hundreds of thousands) or even a severe GDPR violation, which can result in penalties reaching millions.\n\nIf you think this is solely a European issue, you might also want to check out Canada’s anti-spam legislation (CASL) or Australia’s Spam Act.\n\n**Email deliverability is a nightmare**\n\nThe second problem everyone faces with cold mailing is email deliverability. People have written enough about this on Bookface, so I will just say: it becomes a never ending cat and mouse game between cold mailers and email service providers (mainly Gmail and especially Outlook).\n\n**Compliant ways to reach out**\n\nIf you don't want to break any laws in the above countries, you have 3 options for cold outreach:\n\n* LinkedIn messages (allowed if connection request accepted)\n* Phone calls (allowed with \"presumed consent\")\n* Sending letters (always allowed)\n\nSince LinkedIn limits how much you can send and phone calls take a lot of time, there is only one truly compliant and infinitely scalable way to cold outreach: letters.\n\n**Launching Venta AI 2.0 - compliant outreach at scale**\n\n![uploaded image](/media/?type=post&id=88760&key=user_uploads/1367242/8ae24024-3a29-4a24-8ab4-2cfefb753cc7)\n\nToday we are launching Venta AI 2.0, which allows you to run multi-channel outreach via email, LinkedIn and letters, while remaining compliant in each country.\n\nSince letters need to be printed and postage paid, we help you use this channel as cost-efficiently and effectively as possible:\n\n1. **Qualification**: Venta AI qualifies accounts based on your own questions, such as: \"Is this a logistics company that uses electric trucks\". This helps to ensure that you are only contacting your ICPs.\n2. **Contact Picking**: Letters should only be sent to 1-2 people in a company. Venta AI always selects the most appropriate contact from all employees in a company based on your buying personas.\n3. **The correct postal address:** As described [here](https://bookface.ycombinator.com/posts/86152), we have learned the hard way that many business addresses in company databases are just plain wrong. So we scrape the addresses directly from a company's website, select the location closest to our prospect and validate the address before sending.\n4. **CTAs & Traceability:** Letters work differently than emails. To bridge the gap from analog to digital, we always include personalized QR codes on every letter. You get an instant Slack notification with the contact's number when they scan it.\n5. **Saving money on sending**: You can send worldwide directly from our platform and simply pay with credits in your subscription.\n\n**What to expect from letters**\n\nWe ran several campaigns testing letters directly against email, sending the same message to the same ICP (CEOs in marketing agencies). Email campaigns were run with fully warmed up Gmail accounts, optimized sending times and AI spintax. Letter campaigns were printed with a handwritten font.\n\nOn average across 1200 contacts we saw a **2x improvement** in reply rate (4.5% from letters vs. 2.5% from emails) and meeting booked rate (1.5% vs. 0.6%).\n\n# **Let’s get physical**\n\nWant to try letters as an additional or compliant way of reaching customers?\n\nLet’s talk. Contact us at [lucas@getventa.ai](https://mailto:lucas@getventa.ai) or book a demo at ", "url": "https://www.ycombinator.com/launches/N5c-venta-ai-the-ai-sdr-for-multi-channel-outbound-with-letters", "votes": 34, "created_at": "2025-03-18T18:35:00.951Z" }, { "id": 73197, "title": "Order.link 🧩 Respond to customer inquiries faster", "tagline": "Let order.link generate quotes, orders and email responses for you", "body": "**_TLDR:_** _Order.link helps manufacturers respond faster to incoming emails by automatically generating quotes, orders, and email replies. By extracting data and synchronizing it with ERP and CRM systems, order.link processes emails 10 times faster and with 80% fewer errors._\n\n➡️ Get [order.link](https://www.order.link) to tackle your sales emails!\n\nHi everyone, we are Lucas and Stefan and we want to make work meaningful for everyone by enabling our users to spend more time interacting with customers face-to-face.\n\n![uploaded image](/media/?type=post&id=73197&key=user_uploads/1365695/8bc9f15f-c5dd-4b2a-9c8e-9efaf4ba0fb7)\n\n**📧 The problem: A flood of emails distracts sales teams from face-to-face customer interactions**\n\nManufacturers generate two-thirds of their revenue from inbound email, meaning they often receive more than 100,000 emails per month. This creates a significant workload for inside sales staff and frustrates their customers with long response times.\n\nImagine spending your entire week answering emails and copy-pasting order information into another system. This is what sales employees spend at least 30% of their time doing.\n\nAs a result, sales teams have less time for face-to-face customer interactions and revenue-generating activities.\n\n**🤖 The Solution - **[**Order.link**](http://Order.link)** takes care of data entry and email replies**\n\nOrder.link is an AI-driven solution that streamlines several key tasks, including:\n\n* **Faster** **Communication**: Order.link automatically responds to appropriate emails, such as price and delivery time requests.\n* **Automated quote & order generation**: Order.link integrates with existing CRM & ERP systems and automatically generates quotes and orders, reducing manual data entry.\n* **Product Matching**: It effectively identifies buyer requirements and assigns matching products\n\nOrder.link has the power of chatbots, but differs in two key ways:\n\n1. **Integration with communication channels**: By integrating with email and MS Teams, order.link does not require any customer-facing communication changes.\n2. **Open system integration**: Order.link works with what you have and integrates with existing CRM and ERP systems. This enables automated verification of incoming requests and quick access to relevant information such as pricing and delivery schedules.\n\n![uploaded image](/media/?type=post&id=73197&key=user_uploads/1365695/40530832-8499-485c-84a7-1048cd372c7d)\n\n**Backstory**\n\nWe started our first business 5 years ago - an AI enterprise application agency - with the goal of eventually building a SaaS product.\n\nDuring this time, we iterated over 7 product ideas and used the experience we gained to launch [order.link](http://order.link) after seeing a clear demand for a solution to the problem of manual email processing.\n\n👋 **Asks - How you can help**\n\n* Do you know a supplier or manufacturer that this might help? Get us in touch\\*!\n* Share this post - your network is super valuable to us!\n* Follow us on [LinkedIn](https://www.linkedin.com/company/81614030).\n\n\\*_quick blurb to copy&paste:_\n\n[_Order.link_](http://Order.link) helps manufacturers respond faster to incoming emails by automatically generating quotes, orders, and email replies. Get in touch with them at [_founders@order.link_](mailto:founders@order.link).\n\nCheers,\n\nLucas & Stefan", "url": "https://www.ycombinator.com/launches/J2b-order-link-respond-to-customer-inquiries-faster", "votes": 107, "created_at": "2023-07-18T21:59:37.199Z" } ] }, { "id": 28849, "name": "Punchcard", "slug": "punchcard", "former_names": [ "Audit AI", "Substantive AI", "Agentive" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/35234c07d053e0ad46079e11465b9c97a2ee8f2d.png", "website": "https://www.punchcard.com", "all_locations": "Provo, UT, USA", "long_description": "Punchcard is a system designed for assurance engagements like financial statement audits and SOX control programs. Purpose-built for selecting, requesting, and testing audit evidence. Punchcard leverages assertion-driven AI agents that perform testing procedures from natural language instructions—just like an audit associate.\r\n\r\nBy combining critical workflows such as audit planning, client document requests, evidence testing, and workpaper documentation into one seamless platform, Agentive streamlines audit processes, reduces inefficiencies, and frees teams to focus on high-impact areas.", "one_liner": "Agentive assurance system for auditors, risk consultants, and clients.", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1687833550, "tags": [ "SaaS", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "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/punchcard", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/punchcard.json", "year_founded": 2023, "city": "Provo", "country": "US", "linkedin_url": "https://www.linkedin.com/company/goagentive", "x_url": "https://www.twitter.com/goagentive", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/35234c07d053e0ad46079e11465b9c97a2ee8f2d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/2f459ac3b39d8f681881c2f702317a166902814b.png" ], "primary_partner": null, "founders": [ { "user_id": 1097859, "full_name": "Daniel Alberson", "title": "Founder/CEO", "founder_bio": "Daniel Alberson is the co-founder and CEO of Punchcard. Daniel started his career as an auditor and product manager at Ernst & Young after graduating with a Bachelor in Accounting from BYU. He then dropped out of Northwestern's Master in Product Design to join Facebook as a product manager for augmented reality glasses.\n\nHe's leveraging his unique experience as an auditor and product manager to transform the auditing profession.", "is_active": true, "linkedin_url": "https://linkedin.com/in/alberson", "x_url": "https://twitter.com/DannyAlberson", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/669dd1f0b3a3611031866549f92f26db63c308c4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 88440, "title": "Agentive—Audit Requests Clients Love", "tagline": "Meet Agentive, the AI Workspace for Auditing and Client Collaboration.", "body": "**TL;DR** Agentive completely redesigned document requests to eliminate confusion and unnecessary busy work—reducing client rework by 25% and streamlining audits. Uploaded documents become AI-drafted workpapers aligned with your firm’s templates, cutting review time by 90%.\\\n\n\n# **Improving the client-auditor relationship, one request at a time**\n\nThe toughest part of an audit isn’t issuing the opinion—it’s getting the right documents on time. Existing solutions still confuse clients, require significant training, and lead to re-work that strains relationships. Agentive set out to change this by making document requests seamless and user-friendly.\n\n# **The current frustration**\n\nRequesting documents (often called a PBC list – “Provided By Client” list) can be a nightmare:\n\n1. **Confusing User Interface:**\n * Clients often need training just to see what’s outstanding and upload a document.\n2. **Unorganized Sample Requests:**\n * For example, a client might receive a request with an Excel file listing 25 expenses, each expense needing multiple pieces of evidence (like invoices and bank statements).\n * They must gather and upload all evidence into an unorganized folder. This disorganization leads to many mistakes and re-work that can be prevented.\n * Auditors often take days—or even weeks—to review documents provided by the client; they must match each file to its correct item in the sample. Any missing or incorrect evidence requires re-work from the client.\n3. **Constant Follow-Ups & Strained Relationships:**\n * Every missing document adds friction, but the longer it takes for clients to learn about mistakes, the more pain it causes.\n * Hours are lost chasing missing documents, leaving clients feeling nagged and auditors drained.\n\nThis **painful status quo** has been accepted as “just part of auditing” for far too long. Clients dread it, and firms worry that each request for info might annoy their client. The result? A process that should be straightforward often drags on with frustration on both sides.\n\n# **The purpose-built solution**\n\nWhat if providing audit evidence required zero training—and even felt satisfying? Enter Agentive’s new request flow, purpose-built to eliminate friction in auditing.\n\n1. **Request with Samples**\n * **Native Itemized Requests:** Instead of downloading an Excel file to view the items in the sample, Agentive natively integrates the sample table into the request.\n * **Precise Uploads:** Clients attach specific evidence at the intersection of each sample row and document request column—eliminating guesswork and simplifying review.\n\n ![uploaded image](/media/?type=post&id=88440&key=user_uploads/1097859/c3416ec7-7d91-4d2f-a49e-bd39a4474dbe)\n\n2. **Engagement Board View**\n * **Instant Visibility:** Both auditors and clients see requests by status and category at a glance with drag and drop updates.\n * **Satisfaction:** Clients enjoy checking off completed items, ensuring everyone knows what’s done and what’s outstanding.\n3. **Auditor Review Improvements**\n * **Flexible Upload**: Whether clients upload files one-by-one or in bulk, AI matches each document to the correct sample item—even in multi-page scans.\n * **Instant Citations**: Every value is automatically located within uploaded documents, with one-click navigation to its exact location.\n * **90% Faster Review**: AI-powered matching, detail testing, and analysis, let auditors quickly spot missing or insufficient documentation, slashing follow-up time with client.\n\nImagine your next audit kickoff: your client opens Agentive and says, **“Oh, this is nice!”** Instead of groans and procrastination, they begin right away—confident about what you need. Each step is transparent and even rewarding as they see their progress. What once felt like pulling teeth becomes a smooth collaboration.\n\n# **Available Now: AI-Drafted Audit Procedures**\n\n**In this post, our focus is on you and your clients**, and making sure the foundation of every audit – collaborating with the client – is as smooth and organized as possible. As former auditors, we’re equally dedicated to improving auditor job satisfaction. We do this by listening to you, our users, and solving your problems with **human-centered design** and **artificial intelligence.** Every document uploaded in a client request can easily be transformed into your firm’s audit workpaper template through our **AI-powered** document matching and AI prompts. We’re incredibly proud these workflows are set up in a few clicks and workpapers are ready for review in less than a minute after every client upload.\n\n# **Ready to Delight Your Clients?**\n\n[**Schedule a demo**](https://goagentive.com/) or email [founders@goagentive.com](mailto:founders@goagentive.com) to see how Agentive can elevate your firm for both clients and auditors.\n\n![uploaded image](/media/?type=post&id=88440&key=user_uploads/1097859/5d75969b-9c44-479e-a96f-00db77d0df43)\n\n", "url": "https://www.ycombinator.com/launches/N0S-agentive-audit-requests-clients-love", "votes": 18, "created_at": "2025-03-10T21:00:24.202Z" }, { "id": 72821, "title": "Agentive: AI-powered copilot for auditors", "tagline": "We help accountants analyze financial records, perform audit procedures, and draft documentation in seconds.", "body": "Hi everyone, we’re Agentive.\n\n**TL;DR** Agentive helps auditors unlock growth by shortening the time to perform audits. Auditors use our AI-powered copilot to analyze financial records, perform audit procedures, and draft documentation with 10x efficiency. If you’re an auditor, get in touch at [goagentive.com](http://goagentive.com)!\n\n**Problem**\n\nAudit staff spend 40% of their time searching, extracting, and manipulating data during audit procedures. And another 20% is spent preparing audit documentation. While it’s gotten easier to work with evidence provided by clients over the years thanks to OCR and other semi-automation solutions, it’s still painful. These audit procedures are rather standardized across clients and documentation is often identical year over year at the same client with only the current year data changing. The desire of audit staff to be involved in audit strategy is often in conflict with the amount of manual work that needs to be done at firms. This contributes to the high turnover in audit staff and the shortage of accountants entering the profession.\n\n**Team**\n\nWhile working as an auditor at EY, Danny Alberson felt underutilized due to the repetitive work involved in auditing. Nathan Turnbow, co-founder and CTO, built the first AI-powered education platform at Imagine Learning and honed his risk expertise as a cyber security engineer at Dell. Jason Draper, technical co-founder, led teams as an officer in the US Air Force and is a second time founder. Together, they're building Agentive to help auditors automate procedures and spend more time on audit strategy.\n\n**Solution**\n\nAgentive addresses this challenge by training large language models that cater to accounting and audit use cases. Agentive provides an in-browser spreadsheet editor and document viewer where auditors use natural language to have Agentive’s copilot analyze evidence, perform procedures, and draft documentation with 10x efficiency. It’s like working with ChatGPT during your audit. To review AI generated data we make it really easy to trace results back to their source. This not only speeds up preparing documents by audit staff but increases the efficiency of management and partner reviews as well.\n\n![uploaded image](/media/?type=post&id=72821&key=user_uploads/1097859/d436827f-1dd3-4314-a1d3-af9f37364114)\n\n**What can you use Copilot for?**\n\n1. **Extracting Text/Tables**: Extract text and data from documents like PDFs which can then be analyzed or moved to spreadsheets or workpapers for further processing.\n2. **Compliance Checking**: Analyze the content of documents to check compliance with various regulations, standards, or policies, and provide reports detailing any areas of non-compliance.\n3. **Content Search and Retrieval**: Enables auditors to conduct advanced content searches within documents, including searching for specific phrases, keywords, or patterns and retrieving relevant sections.\n4. **Natural Language Querying**: Simplify data retrieval by extracting information from spreadsheets using natural language queries without complex formulas.\n5. **Reconciliations**: Validate data within documents by cross-referencing it with other sources, such as spreadsheets, and highlight any discrepancies that require further investigation.\n6. **Natural Language Summarization:** Automatically generate concise written summaries of financial data in spreadsheets, helping auditors quickly comprehend key insights without digging through raw data.\n\n**Ask**\n\nWe’d love to connect with auditors! Please sign up for a demo at [goagentive.com](http://goagentive.com)", "url": "https://www.ycombinator.com/launches/IwX-agentive-ai-powered-copilot-for-auditors", "votes": 57, "created_at": "2023-07-06T17:56:16.055Z" } ] }, { "id": 28851, "name": "Bronco AI", "slug": "bronco-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dce0ac1e308aa18998242314db08d5821b4db4aa.png", "website": "https://www.bronco.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Bronco is an applied AI lab helping chipmakers keep Moore’s law going. Our mission is to build AI silicon verification engineers that find bugs, drive functional coverage, and help companies ship working chips on time.\r\n\r\nWe're currently deployed alongside verification teams at leading chip companies building next generation hardware (4 nm process node).\r\n\r\nWe are well-funded and backed by tier-1 investors, including YC, 8VC, Elad Gil, SV Angel, and Contrary Capital. We have also established strong relationships with the leading academic and industry researchers in the field of AI for chip design. Our advisors have won multiple Best Paper Awards at leading conferences, been cited tens of thousands of times, and received some of the highest honors in the microelectronics and EDA industries.", "one_liner": "AI for ASIC Design Verification", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1683953569, "tags": [ "B2B", "Enterprise Software", "Semiconductors", "AI" ], "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/bronco-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/bronco-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bronco-ai", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/bronco-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dce0ac1e308aa18998242314db08d5821b4db4aa.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 824475, "full_name": "David Zhi LuoZhang", "title": "Founder", "founder_bio": "Building Bronco AI | Enjoyer of industrials, ML, and the frontier thesis", "is_active": true, "linkedin_url": "https://linkedin.com/in/dluozhang", "x_url": "https://twitter.com/dluozhang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ce5b228a9b2faefce21814be9e26baa231c9e26.jpg" }, { "user_id": 1264576, "full_name": "Jeffrey Pan", "title": "Founder", "founder_bio": "Building Bronco AI, deeply passionate about the industrial economy, AI, and their future together.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jeffreyzpan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/789018efd16d774289865d77f43b74cde70218c4.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28852, "name": "Kite", "slug": "kite", "former_names": [ "MockRocket" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6bfa0b0578ef53f45eaff933ccf7f9f6f80f2b0f.png", "website": "https://kite.video", "all_locations": "San Francisco, CA, USA", "long_description": "Kite is a screen recorder that makes your demo videos look like Apple commercials in minutes.\r\n\r\nSimply record your app (works for iPhone recordings too!). Kite will track your cursor and keyboard inputs, so it can automatically zoom in on the action with professional 3D animations.\r\n\r\nKite is as easy as Canva, but your videos will look like they came out of OpenAI or Figma.\r\n\r\n- One-click cinematic 3D animations\r\n- Display recordings on 3D mockup devices (MacBooks, iPhones etc)\r\n- Combine unlimited recordings into one video\r\n- Edit, adjust speed and trim recordings\r\n- Add text scenes and text annotations alongside recordings\r\n- AI voiceovers using state of the art text to speech models\r\n- Free music library\r\n- Brand kit–upload your logos, colors and fonts\r\n- Start from our template library or start from scratch\r\n\r\nKite is used by hundreds of YC companies for launch videos, social media posts, landing page demos, changelog updates, feature releases and more.", "one_liner": "Screen recorder for stunning product demo videos", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1691634049, "tags": [ "Video", "Media", "Marketing", "Advertising", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kite", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/kite.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kitevideo", "x_url": "https://twitter.com/kitevideohq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6bfa0b0578ef53f45eaff933ccf7f9f6f80f2b0f.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": 282294, "full_name": "Derek Feehrer", "title": "Founder", "founder_bio": "Co-founder and CEO at Kite (YC S23)", "is_active": true, "linkedin_url": "https://linkedin.com/in/feehrer", "x_url": "https://twitter.com/DerekFeehrer", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ebf28b52304644fa15b45fffef219e167d402601.jpg" }, { "user_id": 1432840, "full_name": "Todd Ashley", "title": "Founder", "founder_bio": "Co-founder & CTO @ Kite", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/toddashley/", "x_url": "https://twitter.com/toddashleyk", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/364ed2da8f58a673c40ff44e66c17f8fc3b9381b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 74042, "title": "Kite: Apple-style product videos in minutes", "tagline": "Kite helps software companies create stunning marketing videos in minutes.", "body": "### 🏎️ TLDR\n\nKite helps software companies create stunning marketing videos in minutes. Take a screen recording of your product and turn it into a polished video–no experience required.\\\n\\\n👉 Try out Kite on Mac OS (alpha): [**https://kite.video**](https://kite.video?ref=launchyc)\n\n![uploaded image](/media/?type=post&id=74042&key=user_uploads/282294/6bca3709-f628-4c2b-a533-6fb825209d17)\n\n👋 Hey there!\n\nDerek and Todd from Kite here.\n\n### 🥲 The Problem\n\nTop companies know that the way they present themselves to the world matters. **Great storytelling amplifies great products**.\n\nWhen Apple launches a product—or even the tiniest feature—they don’t just put out a press release or a Tweet. They put on something closer to a cinematic film premiere—using video to craft a story and make their audience truly appreciate their features, one by one.\n\nMost of us aren’t Apple, but need to tell our story all the same. **Nearly every software company needs marketing videos**, not just once, but continuously.\n\nUsers prefer video to text and social algorithms boost it heavily.\n\nThe world is noisy. Every feature release is an opportunity to relaunch your product and tell your company’s story once again.\n\n(Some companies we think crush it with frequent feature launch videos: Framer, Brex, and Vercel).\n\n**The thing is, making great marketing videos is still _really_ hard.**\n\nDerek has been pulling out his hair making startup marketing videos for over a decade, both for his own products and as a contractor.\n\nExisting solutions are either **bland**, **tedious**, or **expensive**:\n\n* **Simple screen captures** work well for internal communication but aren’t great for grabbing attention externally, and tend to all look the same. Attention spans are short, and a lot of software just…isn’t that engaging on its own.\n* You can cobble together **powerful video tools** (After Effects, etc), but you’ll probably spend way longer than you’d like, end up with a janky result, and feel like you should have earned a film degree by the end.\n* Or, you can **hire a video creator** (contractor, agency, or full-time). Tech companies spend a LOT on marketing video creation (We know, we’ve talked to your video people!).\n\n### 🪁 The Solution\n\nOur goal with Kite is to help any software company create studio-quality marketing videos—no studio required.\n\nHere’s a quick Kite video we made for our Product Hunt launch this week:\n\n[ ](https://www.youtube.com/watch?v=u2Gz6JI2KSk)\n\nWe start with **screen capturing** your product. It’s easy. If you can take a Loom, you can take a Kite.\n\n![uploaded image](/media/?type=post&id=74042&key=user_uploads/282294/e83335c6-d414-483e-a806-fd7726d03239)\n\nThen we turn it into a ridiculously professional video—semi-automatically.\n\n* Show off your app on the screen of a **3D device model** (like a laptop).\n* Kite **automatically moves the camera** to follow the action and highlight the features your cursor is interacting with.\n\n![uploaded image](/media/?type=post&id=74042&key=user_uploads/282294/c491535d-1987-4417-a0aa-fca72a90b324)\n\n* Add **animated text** (kinetic typography) with two clicks.\n* Sync it all together to the beat of a music track from our **music library**\n* Check out our tutorial video for more detail:\n\n[ ](https://www.youtube.com/watch?v=o1lhSIGDW98)\n\n(**This entire video was made in Kite**, you can explore the full project file in the app).\n\n### 🛣️ Roadmap\n\nWe want to make Kite more comprehensive and automatic with each update–abstracting away all the tedious parts of making great videos, and giving you all the cool stuff you see in big co-marketing videos for free, so can let your creativity run wild.\n\nWe've only been working on Kite for a few months, but there's a lot coming!\n\n* **AI-assisted video creation**\n * **LLMs** – Chat with Kite like you’d chat with a video creator. Get help with everything from copy editing and storytelling to animations and fonts.\n * **Generative AI** – narrations, music, graphics, 3D objects\n * 3D object scans for physical product demos\n* More **customization**–animations, text effects, music, 3D devices, backgrounds, cursors, etc\n* **Mobile videos** & iPhone screen capture\n* Designer **templates**\n\n### 🔮 The future\n\n* We’re starting with software videos because it’s an area we know well, but we’re not stopping there. We think the web is a more engaging place where everyone can create great videos and we're excited to help create the next generation of **AI-first video tools**.\n\n### 👉 Try out Kite on Mac OS (alpha): [**https://kite.video**](https://kite.video?ref=launchyc)\n\nYou can use the entire product **for free**, just upgrade to remove watermarks.\n\nSend us feedback, bug reports, and questions! [support@kite.video](mailto:support@kite.video)\\\n\\\nDerek & Todd (& Harvey 🐶)\\\nKite\\\n🪁🪁🪁\n\n![uploaded image](/media/?type=post&id=74042&key=user_uploads/282294/816899be-a259-4847-af3a-01e90ec336dc)\n\n", "url": "https://www.ycombinator.com/launches/JGE-kite-apple-style-product-videos-in-minutes", "votes": 36, "created_at": "2023-08-11T23:04:21.633Z" } ] }, { "id": 28853, "name": "Obento Health", "slug": "obento-health", "former_names": [ "Shopergo" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90a0ab27f8e7fd19fa5150b5f3de4e0557c38fb0.png", "website": "https://www.getobento.com", "all_locations": "San Francisco, CA, USA", "long_description": "Obento Health is redefining the CRM experience for medical field sales. Designed specifically for healthcare, we are saving reps time from documentation and empowering reps to create more personalized interactions with their customers. ", "one_liner": "CRM Co-Pilot for Medtech Sales", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Medical Devices", "launched_at": 1690867347, "tags": [ "B2B", "Medical Devices", "Healthcare", "CRM", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Medical Devices" ], "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/obento-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/obento-health.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/95734316/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/obentohealth/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/90a0ab27f8e7fd19fa5150b5f3de4e0557c38fb0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/29789715c2d9dbf04c7c6671d2788c30c2f9231e.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/17a23dbc4c3545c04ba015f97285b670931071bf.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 898197, "full_name": "Naxin Wang", "title": "Founder", "founder_bio": "I stumbled into healthcare and haven’t looked back since. Currently building CRM for Medical Sales at Obento Health. Analyst by training at Google and built products at Verily Life Sciences, serving biopharma and medtech customers.", "is_active": true, "linkedin_url": "https://linkedin.com/in/naxinwang", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f360423e259d137d944085f077a43c27deafb397.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 84090, "title": "Obento Health - CRM Co-Pilot for MedTech Sales", "tagline": "We use AI to help medical field sales build stronger relationships with healthcare providers and organizations.", "body": "**TLDR**\\\n[Obento Health](https://www.getobento.com/?utm_source=launchyc) is redefining the CRM experience for medical device sales. Designed specifically for healthcare, we are saving field reps time from activity tracking and empowering reps to create more personalized interactions with their customers.\n\n### **The love-hate relationship with a CRM**\n\nMedical device reps are constantly on the go, and our users have told us using CRM is a necessary evil for their job. A clunky CRM leads to inefficiencies in managing customer relationships and missing valuable follow-ups. More importantly, reps are spending hours a week doing admin work in their CRM instead of focusing on their customers, and management is missing key insights to drive strategic directions for their sales teams. \n\n![uploaded image](/media/?type=post&id=84090&key=user_uploads/898197/fe5a0beb-4b25-42e3-8f6c-eb9b8e7f22d1)\n\n### **Obento is taking the pain out of using a CRM**\n\nThe team at Obento has designed the perfect co-pilot for medical device reps. Our mobile-first platform allows reps to log visits using voice-to-CRM, access their rolodex at their fingertips with enriched domain-specific data, and a debrief mode that can help reps uncover more aha moments. By integrating seamlessly with existing CRM systems, Obento enhances rep productivity from day one.\n\n### **The team has dedicated two decades into building well-loved products**\n\nNaxin Wang and Rodrigo Gutierrez have 20 years of combined experience and have built products used by millions of people. Naxin was at Verily (fka Google Life Sciences) building products for biopharma and medtech companies, and Rodrigo joined as an early employee and led product engineering at Strava.\n\n![uploaded image](/media/?type=post&id=84090&key=user_uploads/898197/2e2d4510-a499-4472-96d8-9f7e9079899b)\n\nReach out to us at [naxin@obentohealth.com](mailto:naxin@obentohealth.com) to see how AI can transform your commercial team.", "url": "https://www.ycombinator.com/launches/LsI-obento-health-crm-co-pilot-for-medtech-sales", "votes": 28, "created_at": "2024-09-17T17:29:33.192Z" } ] }, { "id": 28854, "name": "Docsum", "slug": "docsum", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cbbf3c5f2937adf8242a332b8bfc9fbaa18073e3.png", "website": "https://www.docsum.ai/", "all_locations": "New York City, NY, USA", "long_description": "Docsum is a contract intelligence platform designed for legal and finance teams. Using AI, Docsum extracts critical data like renewal dates, obligations, and more into a searchable database. The platform is fully customizable with features like custom field reporting, alerts, and playbook-powered redlining. Getting started is simple—upload contracts or connect Docsum to tools like Google Drive, DocuSign, and more.", "one_liner": "AI contract repository", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1689290654, "tags": [ "Documents", "B2B", "Legal", "LegalTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Legal" ], "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/docsum", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/docsum.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/docsum", "x_url": "https://twitter.com/DocsumAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cbbf3c5f2937adf8242a332b8bfc9fbaa18073e3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1402995, "full_name": "Shaunak Turaga", "title": "Founder", "founder_bio": "I'm serving as CEO and co-founder of Docsum (S23). I have a background as a developer, product manager, and founder at places like Pacaso, OpenTrack, Capital One, and IBM.", "is_active": true, "linkedin_url": "https://linkedin.com/in/shaunakturaga", "x_url": "https://twitter.com/shaunakturaga", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/191f11e55712feee11bc7f5f8196473c9024219b.jpg" }, { "user_id": 332166, "full_name": "Alex Leonov", "title": "Founder", "founder_bio": "I’m serving as CTO and co-founder of Docsum (S23). I make contracts suck less by building ruthlessly efficient systems that turn legal spaghetti into structured intelligence.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexander-l-leonov/", "x_url": "https://twitter.com/AlexLLeonov", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6e857c19807de5a9f903ce2e09f4a65860f9e77a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73084, "title": "🔍 Docsum - AI contract reviewer for legal teams", "tagline": "Supercharge your contracting workflows from review to negotiation by 3x", "body": "**TL;DR:** [Docsum](https://www.docsum.ai?utm_source=yc&utm_medium=blog&utm_campaign=yc-launch) is an AI contract review and negotiation platform. With Docsum, legal, procurement, and sales teams can negotiate and manage contracts 3x faster, to reduce the time to close and win more deals. Docsum works by analyzing and redlining contracts using configurable playbooks owned by lawyers. [Start reviewing your contracts now.](https://app.docsum.ai?utm_source=yc&utm_medium=blog&utm_campaign=yc-launch)\n\n**Problem**\n\n* Sales teams often own the contracting process from reviewing NDAs to sending out MSAs. **Sales teams are motivated to respond to clients quickly and reduce their time to close** but their ability to review and respond to contract redlines is contingent on collaboration with their legal counsel. **This process can be expensive, time consuming, and hard to manage.**\n* For smaller teams, basic contract review and contract negotiation services with external counsel can be incredibly expensive and time consuming.\n* For larger organizations, in-house counsels are burdened by high matter volumes that often position them as bottlenecks within sales cycles.\n\n### **Docsum — an AI legal copilot for sales teams**\n\n![uploaded image](/media/?type=post&id=73084&key=user_uploads/315362/deadeee1-6bfc-449f-bcac-14ce40fbeed9)\n\n* **Review**: Use Docsum to upload a legal contract and get a comprehensive **summary and ask to our AI attorney questions.**\n* **Analyze**: Get a list of potential red flags and proposed redlines to negotiate with.\n\n![uploaded image](/media/?type=post&id=73084&key=user_uploads/315362/ee9eca02-f2c7-4c08-8b17-a452edca617a)\n\n* **Playbook**: Upload your redlined contract to get advice on how to respond with **suggested resolutions** sourced from your organization’s configured playbook or from our pre-configured playbook trained by our human attorneys.\n\n### **How is Docsum different?**\n\n* **Extensible**: Currently, we are focused on being the best-in-class legal analysis and contract negotiation tool. We believe we can integrate into your existing contract life cycle processes.\n* **🔌 Interoperable**: We believe the best solutions are integrated where people work so we plan to build an eco-system of tooling which includes our **web application, native Word + Google plugins**, where legal and sales teams work.\n* **💪🏽 Collaborative**: We believe that legal teams are essential for creating and preserving value for organizations. Our hope is to enable organizations to engage their legal counsel in a more strategic and efficient manner. We aren’t trying to replace lawyers with AI.\n\n### **The Team**\n\n![uploaded image](/media/?type=post&id=73084&key=user_uploads/315362/041fefbc-316e-4285-958f-947c170c09af)\n\nWe’re [Shaunak](https://www.linkedin.com/in/shaunakturaga/) and [Alex](https://www.linkedin.com/in/alexander-l-leonov/). We’ve been best friends since college and the picture above is us bartending in a horse trailer bar that we built called [Barbox](https://www.instagram.com/barboxraleigh/) — a premium event bartending business which we sold last year.\n\nShaunak has experience as a developer and product manager at Pacaso, OpenTrack, Capital One. Alex has experience as a developer and architect at Pacaso and Fidelity. We worked on growth and global expansion while at Pacaso.\n\n### **Our Ask**\n\n* **Sign up today:** Do you deal with sales contracts? [Sign up to try Docsum today](https://app.docsum.ai?utm_source=yc&utm_medium=blog&utm_campaign=yc-launch)\n* **Connect with us:** Do you know of any founders, CROs, sales leaders, deal desk teams, general counsels, or transactional attorneys that might be interested in reducing their time to close and achieve more efficient contracting workflows? We would be most grateful if you can connect us! Email us at [founders@docsum.ai](https://mailto:founders@docsum.ai)", "url": "https://www.ycombinator.com/launches/J0m-docsum-ai-contract-reviewer-for-legal-teams", "votes": 36, "created_at": "2023-07-14T18:09:12.155Z" } ] }, { "id": 28857, "name": "Arcimus", "slug": "arcimus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e638279869f7de4ca5752835249b8d2c8711f432.png", "website": "https://www.arcimus.com/", "all_locations": "New York City, NY, USA", "long_description": "We send founders and recruiting teams a steady flow of engineers filtered with real engineering judgment.", "one_liner": "A stream of engineering candidates who ship.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Recruiting and Talent", "launched_at": 1688422259, "tags": [ "Generative AI", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Recruiting and Talent" ], "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/arcimus", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/arcimus.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/arcimus/", "x_url": "https://twitter.com/arcimus_com", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e638279869f7de4ca5752835249b8d2c8711f432.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e941d40f5917e458faa576cd203ec3d5266b30cf.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1327665, "full_name": "Hussein Syed", "title": "Founder", "founder_bio": "Building Arcimus", "is_active": true, "linkedin_url": "https://linkedin.com/in/hussein-syed-44115a164", "x_url": "https://twitter.com/husseinsyed73", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20be3cb58e3707ac6243f5c55a19273afa584a47.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 77849, "title": "Arcimus - AI-powered Insurance Premium Audits", "tagline": "Arcimus uses a combination of AI and human judgment in the Insurance Premium Audit process leading to high quality, fast, and cheap audits.", "body": "**📌 TLDR**: When you hire employees, you’ll need Workers’ Compensation Insurance. The price for this insurance depends on your payroll and employee duties. Since your payroll and employee duties change annually, you’ll go through an audit process to determine the proper amount you should be paying. In the backend, this process is costly and inefficient, and you probably end up underpaying/overpaying. We use a combination of LLMs and human judgment, leading to higher-quality audits at half the price of traditional audit solutions.\\\n—\n\nHi everyone, we’re [Hussein](https://linkedin.com/in/hussein-syed-44115a164) and [Omar](https://linkedin.com/in/omar-dadabhoy), and we’re creating [Arcimus](https://www.arcimus.com/)! \n\n![uploaded image](/media/?type=post&id=77849&key=user_uploads/977376/187811a1-ef85-43ca-9203-7a8e3eab50b5)\n\n### **📑 Problem:**\n\nWorkers' compensation insurance pricing depends on a business’s total payroll and its employees' duties (a roofer is at higher risk of injury than a Software Engineer). However, these factors change as companies hire/fire and change salaries.\n\nEvery year, insurance companies contract auditing firms or individual premium auditors to hand review their customers’ information. They report changes in total payroll and employee duties, enabling insurance carriers to assign them a new premium.\n\nThis manual process can take auditors 1-3 hours per customer annually and is prone to human error. Insurance carriers are at a high risk of failing state compliance tests and getting fined due to human errors.\n\n### **🤖 Our Solution:**\n\nWe use a combination of LLMs and human judgment to read a customer’s documents and compile their information into the same final report created by premium auditors. We can do this within minutes, at half the cost, and with higher accuracy than any singular auditor.\n\n### **📖 Our Story:**\n\nWe were originally S23 but decided to demo with W24 because we pivoted mid-batch from AI meeting notes (yeah, we know…). \n\nWe talked to dozens of insurance workers and eventually learned about premium auditors. After talking to \\~50 premium auditors, we had an inkling that their processes were ready for innovation. To better understand their jobs, we decided to go back to school in the middle of YC and take a community college class on premium auditing. \n\nLike any other college experience, we graduated from YC with 9-5 jobs as premium auditors. After working as premium auditors for 3 months, we were able to write code to automate parts of the premium audit process. AI and humans together led to unmatched performance and dramatically less cost, better than any auditor alone.\n\n### **🙏 Our Ask:**\n\n**Are you an insurance carrier or premium audit vendor:** We’d love to meet and see how we could fit into your workflow! Email us! \n\n**Customer Intros:** If you have contacts at insurance carriers or premium auditing vendors we'd love an introduction to talk to them! Email us!\n\n\\\nFeel free to reach us at [founders@arcimus.com](mailto:founders@arcimus.com)", "url": "https://www.ycombinator.com/launches/KFd-arcimus-ai-powered-insurance-premium-audits", "votes": 22, "created_at": "2024-01-25T17:30:22.721Z" } ] }, { "id": 28858, "name": "CraftOS", "slug": "craftos", "former_names": [ "Martola", "CraftOS", "CraftOS (formerly Martola)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/332551f4aad00a2a5a48d255883119d06a884afc.png", "website": "http://craftos.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "CraftOS is how wineries track and sell their wine. 83% of wine production in the US comes from small batch wineries, we provide inventory tracking and POS tools for them.", "one_liner": "Inventory Management and POS for the Wine industry", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Retail", "launched_at": 1689794207, "tags": [ "SaaS", "B2B", "Retail" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B", "Retail" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/craftos", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/craftos.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/craft-os/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/332551f4aad00a2a5a48d255883119d06a884afc.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": 1348199, "full_name": "Wael Al Sallami", "title": "Founder", "founder_bio": "Founder at CraftOS. Formerly @Square, Weebly. Led the development of Square Online from inception to $100m in annual profits and over $1b in transaction volume.", "is_active": false, "linkedin_url": "https://linkedin.com/in/walsallami", "x_url": "https://twitter.com/wa3l", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6a7c0bf235ed888e74294ed7dd8ed37640a91527.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73245, "title": "Martola – Save time and money on procurement", "tagline": "We match Purchase Orders to Invoices to make sure retailers are not overpaying their vendors", "body": "Hi everyone! We - [Wael](https://www.linkedin.com/in/walsallami/) and [Kenan](https://www.linkedin.com/in/kenan-kaymakcan/) - are building a platform for retailers to match their invoices with their purchasing orders.\n\n**The Problem: Retailers are overpaying their vendors**\n\nRetailers are juggling a lot of internal and market pressures­–inflation, low margins, high turnover, etc. They don’t have the time and resources to stay on top of their entire operations. As a result, we discovered that they can’t keep track of the discrepancies between purchase orders and vendor payments, leading them to routinely overpay their vendors.\n\n**Solution: Martola, automatic matching between your invoices and purchase orders**\n\n![uploaded image](/media/?type=post&id=73245&key=user_uploads/417236/af5a9cbe-91a6-4c5c-ade3-5e3d8861bf47)\n\nMartola requires minimal intervention on the retailer’s side, matching the necessary lines on their purchase orders to their invoices and alerting them to discrepancies such as price and quantity mismatch.\n\n![uploaded image](/media/?type=post&id=73245&key=user_uploads/417236/7ac16502-3481-446b-a1fd-234b738acc5f)\n\nRetailers can follow up with the vendor or update the purchase order on their end.\n\nWe decided to focus on solving this critical pain point as our initial scope. Our long-term vision is to capture retailers by solving for this problem with a clear business case and expand our product suite to address retailers’ other challenges.\n\n**Our ask**\n\n* If you are a retailer and interested in our solution or know any retailer that can be interested, please reach out to us at [founders@martola.com](mailto:founders@martola.com)\n* Investors, please reach out to [founders@martola.com](mailto:founders@martola.com)\n\nThank you from Wael and Kenan\n\n![uploaded image](/media/?type=post&id=73245&key=user_uploads/417236/8c35052c-c3bd-4a80-8683-a52f0af12752)\n\n", "url": "https://www.ycombinator.com/launches/J3N-martola-save-time-and-money-on-procurement", "votes": 28, "created_at": "2023-07-20T02:29:46.577Z" } ] }, { "id": 28859, "name": "MICSI", "slug": "micsi", "former_names": [ "MICSI (Microstructure Imaging, Inc)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/29d35560d45b90c5227b12877556942576e43627.png", "website": "https://www.micsi.co/", "all_locations": "New York City, NY, USA", "long_description": "MICSI is introducing AI software that doubles resolution and halves scan time. This breakthrough enables imaging centers to significantly enhance their capacity and patient throughput, potentially saving countless lives and generating an additional $2 million of revenue per MRI scanner. Our initial offering serves as a stepping stone toward the company’s larger vision of transforming the MRI into a truly quantitative instrument that is capable of providing highly reproducible data for more accurate diagnoses and patient management. ", "one_liner": "Higher resolution MRI with faster scan times.", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Diagnostics", "launched_at": 1687381964, "tags": [ "Computer Vision", "Medical Devices", "Healthcare" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Diagnostics" ], "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/micsi", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/micsi.json", "year_founded": 2018, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/microstructure-imaging-inc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/29d35560d45b90c5227b12877556942576e43627.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1352304, "full_name": "Gregory Lemberskiy", "title": "Founder", "founder_bio": "Gregory Lemberskiy (CEO) co-founded MICSI with goal of bringing cutting edge image processing tools, that he encountered in the research setting into clinical practice. His PhD work (2019) focused on algorithm development for image enhancement and biophysical modeling of the MRI signal. His methods have been used to enable high-end quality on low field MRI systems through noise reduction (MICSI’s first product) and use MRI to characterize the physical properties of prostate glandular lumen.", "is_active": true, "linkedin_url": "https://linkedin.com/in/gregory-lemberskiy", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/83bae6427877568348313403492a3c5c90b7ff0c.jpg" }, { "user_id": 1352419, "full_name": "Benjamin Ades-Aron", "title": "Founder", "founder_bio": "I got my PhD in electrical engineering in 2022 from NYU, where I specialized in developing machine learning based computer vision algorithms for the visualization of MRI data. I specialize in developing software to process and route diffusion and functional MRI data, with a goal of improving image signal, reducing noise, and producing clinically viable diagnostic imaging biomarkers.", "is_active": true, "linkedin_url": "https://linkedin.com/in/benjamin-aron-b0313349", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/894ba3227d1a30f75b7086a428e64dbf24f4a090.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 96226, "title": "MICSI-PET: Anatomical Positron Emission Tomography", "tagline": "Making PET imaging fast, anatomical, and scalable for Alzheimer’s care.", "body": "TLDR; MICSI-PET makes PET imaging fast, anatomical, and scalable for Alzheimer’s care.\n\n![uploaded image](/media/?type=post&id=96226&key=user_uploads/1352304/a5488138-be4b-4093-86c1-1b2663488117)\n\n**Problem:** **PET is the bottleneck capping the entire Alzheimer’s market.**\n\n![uploaded image](/media/?type=post&id=96226&key=user_uploads/1352304/40ba7516-1b46-454a-9a26-98fb91fe3169)\n\nDisease modifying Alzheimer’s drugs like Leqembi and Kisunla are here, and they are projected to generate $5-8B/year by 2030. However, to get these drugs, patients need a positive amyloid PET scan.\n\nThis is an ambitious figure that is limited by the fact that there are only 2500 PET/CT scanners in the US, where the average age is 14 years old. PET scanners have a predictable 4-5% drop in sensitivity (or detected count rate) per year \\[Watanuki et al. Ann Nucl Med. 2010\\], suggesting a loss of half of the sensitivity since its initial install. Operationally, this sensitivity loss forces centers to lengthen acquisitions or increase dose just to preserve image quality, reducing throughput or margins right as amyloid PET demand is exploding. It’s also unrealistic to assume that the existing PET fleet is built for imaging Alzheimer’s at scale. PET systems are also heavily utilized for oncology, cardiology, infection, and presurgical planning, where 74% of all PET scans use FDG, a general purpose tracer for cellular metabolism. \n\n**Solution: Transform aging PET fleets into Anatomical PET with MICSI-PET.**\n\n![uploaded image](/media/?type=post&id=96226&key=user_uploads/1352304/be3b873c-3dd7-4326-8447-316161d179db)\n\nMICSI-PET is a turnkey upgrade that dramatically enhances PET image quality by using the MRI as an anatomical guide. This process does not require any additional imaging as all patients should have received an MRI prior to amyloid PET imaging. Operationally, this upgrade removes the primary barrier for scaling Alzheimer’s therapies by (1) enabling high-end PET imaging on low-end or aging PET scanners; (2) enabling shorter PET examinations leading to greater throughput; (3) minimizing ambiguity of positive/negative amyloid PET imaging by showing clearer boundaries between gray and white matter:\n\n![uploaded image](/media/?type=post&id=96226&key=user_uploads/1352304/90dd7722-405d-4a4f-967b-4ec6df183ff6)\n\n**Figure:** Coregistered conventional PET and MICSI-PET amyloid images across a range of amyloid burdens, highlighting differences in apparent cortical sparing: **left, amyloid-negative** with strong gray/white contrast; **right, amyloid-positive** with reduced gray/white contrast.\n\n**Addressing the Radiologist Workforce Crisis:** Scaling Alzheimer's care isn't just a hardware problem; it's a workforce problem. AD imaging is about to become a high-volume modality layered onto a nuclear medicine workforce where 54% of radiologists already report burnout.\n\nBeyond anatomical PET, MICSI-PET is designed to streamline diagnosis through automatic SUVR/Centiloid reporting with built-in QC.\n\n![uploaded image](/media/?type=post&id=96226&key=user_uploads/1352304/b48c9a16-d7b6-4fe9-bf74-509653e159dd)\n\nFast and anatomical PET is just the start. The same MR-guided upgrade would generalize across tracers, and eventually across doses, elevating the global standard of PET toward a new default: molecular imaging that’s both specific and anatomically precise. \n\nOur first product, MICSI-RMT, is already FDA-cleared and in the market. MICSI-PET is currently in clinical validation and we are preparing our FDA submission.\n\n**Ask:** We are expanding pre-FDA clearance pilot collaborations to validate MICSI-PET across sites and workflows, and we are closing a seed extension to support multi-center validation and early installs. If you lead a PET imaging program or invest in medical imaging and Alzheimer’s care, we would love to connect.  \n\n**Email Us:** \n\n[**Gregory.Lemberskiy@micsi.com**](mailto:Gregory.Lemberskiy@micsi.com)\n\n[**Benjamin.Adesaron@micsi.com**](mailto:Benjamin.Adesaron@micsi.com)", "url": "https://www.ycombinator.com/launches/P22-micsi-pet-anatomical-positron-emission-tomography", "votes": 16, "created_at": "2025-12-16T00:02:25.484Z" }, { "id": 73719, "title": "MICSI (Microstructure Imaging)", "tagline": "Higher resolution MRI acquired faster", "body": "TLDR; MICSI is introducing an innovative image processing algorithm to decrease MRI scan time, increase image resolution, and unlock new diagnostic capabilities using Microstructure Imaging.\n\n![](https://lh4.googleusercontent.com/166C-4hbfRCmiC20D9EbOVhdubPqEE3tuTb-ZvNh8bnOXts8Rf9ZfhssNQ8ptJsGYAFqtkSt6w9Cu-aRvnBDBoKesDzc1ou7ddUVUZqTZ0knq8MmlZsbLWYY4rpGoFqUmrbmjEeSjfMx7KMKRdEngWA)\n\n**Problem: MRI Centers are overbooked.**\n\nIf you've ever had an MRI, you've probably waited weeks for an available slot and then spent a long time in the scanner. These long scan times inconvenience patients, create hospital backlogs, and delay appointments. Delays like these can critically impact conditions that require prompt diagnosis and intervention, inflate healthcare costs, increase patient anxiety, and potentially compromise treatment strategies. Why the wait? An MRI of the whole brain can be acquired in [**seconds**](https://mriquestions.com/echo-planar-imaging.html)!\n\n**Compromise: Why is your MRI an hour long?**\n\nMost of the scan time is spent on preserving signal-to-noise ratio (SNR) to produce images of the highest quality. These standard SNR preserving methods include:\n\n* Line-by-line acquisitions: These are fax-machine-like acquisitions that read the image one line at a time, where the time spent on each line is equivalent to the time that could have been spent acquiring the whole image.\n* Averaging: To boost SNR, images may be reacquired and averaged together. However, SNR improves slowly as a square root of scan time (ie 4 images are required to double the SNR).\n\nAn additional compromise is related to the spatial resolution, since MRI is acquired in 3D with “voxels”, doubling the resolution in each dimension from (2x2x2 mm3 to 1x1x1 mm3) would require the SNR to increase by **8x**, which even after 50 years of innovation, seems near impossible.\n\n![](https://lh4.googleusercontent.com/y1p1DzihqAvnmKvtoSJAbVSBrInECVUP2GvzVc5TFmLNqwTQ1hevnLgcPX7iplxNhKchrjAAQq8L8WlPbLNVWX31jAN-VIg6dSJ7Nzv-lKMUTvy8xsUIlzfFOZLlgSoGL0ZAC1lk8xqtYL2V4Q1caJk)\n\n**The MRI exam is full of compromise.**\n\n* Long scan times means fewer patients can be scanned by a given radiology center.\n* Lower resolution means a compromise in anatomical accuracy, where pathologies that could have otherwise been detected at an earlier stage would need to progress further to be MR visible.\n\nWe believe that the ultimate compromise is that MRI is not being used to its fullest potential for microstructure imaging, where MRI could be used to [**image cellular properties non-invasively**](https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/abs/10.1002/nbm.3998).\n\n**Solution: Boosting SNR over the MRI exam using MICSI-RMT.**\n\nOur patented approach (pending FDA510k clearance in Q4-2023) uses a self-supervised AI method to learn the noise properties of the MRI exam and remove noise uniformly across all images of the dataset. Our algorithm, MICSI-RMT, can be described as a smart averaging approach, whereby many images of the MRI exam are combined while preserving their unique image properties and discarding the noise. This boost in SNR would be approximately, sqrt(M/P), where M is the number of images included in the dataset, whereas P describes how different the images are (physical properties: proton density, T1, T2, diffusion, etc + artifacts: motion, errors, etc).\n\nMICSI-RMT is the commercial implementation of the MP-PCA algorithm that was developed by our research group led by Drs. Dmitry S. Novikov and Els Fieremans of NYU Radiology’s Center for Biomedical Imaging.\n\nMP-PCA is the most popular denoising approach in the MRI community:\n\n* The [**original paper**](https://pubmed.ncbi.nlm.nih.gov/27523449/) introducing the approach has achieved over 1300 citations since November 2016.\n* Denoising of [**task-based FMRI**](https://pubs.rsna.org/doi/full/10.1148/radiol.2020200822) for presurgical planning of Neurosurgery\n* Enabling low field [**0\\.55T prostate diffusion**](https://pubmed.ncbi.nlm.nih.gov/37222526/) MRI\n\nWith MICSI-RMT, MRI centers will not only be able to provide higher quality imaging but also drastically reduce the scan time (up to [50%](https://pubs.rsna.org/doi/full/10.1148/radiol.2020200822)). This improved efficiency allows centers to scan more patients per day, enhancing their operational capacity and throughput. Financially, this increase in capacity translates into a significant boost in revenue for every MRI center. By doubling the number of patients scanned daily, we estimate an additional $2 million in annual revenue per MRI scanner. Furthermore, the improved image quality and resolution could lead to more accurate diagnoses, early disease detection, and reducing overall healthcare costs in the long run.\n\n**Who we are - Greg and Ben**\n\n![](https://lh6.googleusercontent.com/F5FGyVn85R_Oxvkgw_uEOhvkKUEg_2VemnSso8p1nBfc7vgYVd1q1Vnt2BgIJrm2CRenojq9RkwoxbuP0lebYfKIcs6anX6wQEPQj0T-yaTJGLBOvqqzsw4JL4ftzrHLozX-QX592SesWUotkt92ZCw)\n\nWe are scientists and engineers who have spent the last decade developing machine learning software to both improve the quality diagnostic utility of MRI. [**Gregory Lemberskiy, PhD**](https://www.linkedin.com/in/gregory-lemberskiy/) is an [**experimental physicist**](https://scholar.google.com/citations?user=_TvugCIAAAAJ&hl=en). He discovered how to use MRI to measure the diameter of the [**prostate glandular lumen**](https://www.frontiersin.org/articles/10.3389/fphy.2018.00091/full), which may obviate the need for tissue biopsy to detect prostate cancer progression. [**Benjamin Ades-Aron, PhD**](https://www.linkedin.com/in/benjamin-aron-b0313349/) is an [**electrical engineer**](https://scholar.google.com/citations?user=xNhHFuAAAAAJ&hl=en) who developed and deployed the [**DESIGNER**](https://pubmed.ncbi.nlm.nih.gov/30077743/) open-source image processing pipeline, which is the global gold standard of diffusion MRI image processing. He has also developed a number of novel neural network architectures to aid in the denoising of compressed sensing MRI data, to facilitate brain mapping for functional neurosurgery of Epilepsy and brain tumor.\n\nTogether, the MICSI team owns over a dozen approved patents and has a clear vision for the future of MRI. The goal of MICSI is to use our patented denoising and parameter estimation technologies to make MRI quantitative and reproducible for the first time, creating a new category in diagnostic healthcare and improving patient satisfaction and outcomes.\n\n**Our Ask**\n\n* Do you know anyone in private practice, hospitals, or in large academic centers who may be interested in our approach? We want to talk to them.\n* Questions, comments, feedback? We want to hear from you!\n\n**Email us:**\n\n[**Gregory.Lemberskiy@micsi.com**](mailto:Gregory.Lemberskiy@micsi.co)\n\n[**Benjamin.adesaron@micsi.com**](mailto:Benjamin.adesaron@micsi.co)", "url": "https://www.ycombinator.com/launches/JB1-micsi-microstructure-imaging", "votes": 23, "created_at": "2023-08-02T17:20:50.834Z" } ] }, { "id": 28860, "name": "Terminal", "slug": "terminal", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/acdabd0c7f626bea58520be4df19e9d87e878e06.png", "website": "https://www.withterminal.com/", "all_locations": "Toronto, ON, Canada", "long_description": "Terminal builds telematics data infrastructure for the commercial fleet industry. Commercial auto insurers and fleet software companies, including industry leaders like Intact Insurance, depend on our platform to access GPS, speeding, and vehicle data from 330+ telematics providers. We recently raised our Series A led by Battery Ventures and are backed by Y Combinator, Golden Ventures, Penske Transportation Solutions, and Intact Private Capital. Our team works together in person in Toronto, combining early-stage speed with late-stage maturity while processing many terabytes of vehicle data every day.", "one_liner": "Plaid for Telematics Data in Commercial Trucking", "team_size": 17, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1686875365, "tags": [ "Developer Tools", "Logistics", "API", "Supply Chain", "Transportation" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "Canada", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/terminal", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/terminal.json", "year_founded": 2023, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/terminal-api", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/terminal-4fea", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/acdabd0c7f626bea58520be4df19e9d87e878e06.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5480ee073faeb3fa671e07757cf0a99b37ceb66e.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/90cf7733dc76707b483297a07aa1bb4b4e55d823.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1241796, "full_name": "Raghav Midha", "title": "Founder", "founder_bio": "CEO & Co-Founder of Terminal (S23)", "is_active": true, "linkedin_url": "https://linkedin.com/in/raghavmidha", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/30612b4ae0879ea6074d7807794790879123ea72.jpg" }, { "user_id": 1289192, "full_name": "Connor Giles", "title": "Founder", "founder_bio": "CTO & Co-Founder of Terminal (S23)", "is_active": true, "linkedin_url": "https://linkedin.com/in/connorgiles", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bfc970951c9a8c1e68b3bf8a49cb348fc1036abd.jpg" } ], "jobs": [ { "id": 91980, "title": "Software Engineer, Data Platform", "url": "https://www.ycombinator.com/companies/terminal/jobs/ESIucQf-software-engineer-data-platform", "location": "📍 Toronto, ON", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$200K - $295K CAD", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Java", "Python", "Spark", "Distributed Systems", "Data Warehousing", "Kafka" ] }, { "id": 91982, "title": "Software Engineer, Backend", "url": "https://www.ycombinator.com/companies/terminal/jobs/ViOLGXo-software-engineer-backend", "location": "📍 Toronto, ON", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$185K - $285K CAD", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Node.js", "TypeScript", "Distributed Systems", "Serverless" ] }, { "id": 92203, "title": "Founding Partnership Lead - Ecosystem / Product Partnerships", "url": "https://www.ycombinator.com/companies/terminal/jobs/vI3TdId-founding-partnership-lead-ecosystem-product-partnerships", "location": "📍 Toronto, ON", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$180K - $220K CAD", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 101993, "title": "Founding Strategic Account Manager", "url": "https://www.ycombinator.com/companies/terminal/jobs/a1N7DlM-founding-strategic-account-manager", "location": "📍 Toronto, ON", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$220K - $260K CAD", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 101994, "title": "Founding Customer Engineer", "url": "https://www.ycombinator.com/companies/terminal/jobs/yD28Izp-founding-customer-engineer", "location": "📍 Toronto, ON", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$200K - $235K CAD", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 101995, "title": "Founding Customer Success Manager", "url": "https://www.ycombinator.com/companies/terminal/jobs/DjDVlAK-founding-customer-success-manager", "location": "📍 Toronto, ON", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$135K - $165K CAD", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 101996, "title": "Founding Technical Recruiter", "url": "https://www.ycombinator.com/companies/terminal/jobs/dZFjDfh-founding-technical-recruiter", "location": "📍 Toronto, ON", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "$115K - $152K CAD", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 101997, "title": "Founding Product Marketing Lead", "url": "https://www.ycombinator.com/companies/terminal/jobs/MLblJgt-founding-product-marketing-lead", "location": "📍 Toronto, ON", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$180K - $220K CAD", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Semi-Related Podcast - Integration innovation | Raghav Midha of Terminal", "url": "https://optym.com/semi-related-podcast/integration-innovation-raghav-midha-of-terminal", "date": "Apr 24, 2025" }, { "title": "Terminal raises $3.1M, wants to be the ‘Plaid of trucking’ - FreightWaves", "url": "https://www.freightwaves.com/news/terminal-raises-3-1m-wants-to-be-the-plaid-of-trucking", "date": "Dec 12, 2023" }, { "title": "Meet the Y Combinator Summer 2023 cohort startups with Canadian connections | BetaKit", "url": "https://betakit.com/meet-the-y-combinator-summer-2023-cohort-startups-with-canadian-connections/", "date": "Sep 06, 2023" } ], "launches": [ { "id": 72500, "title": "Terminal: Plaid for Telematics 🚚", "tagline": "Companies building insurance products and fleet software for trucking can use our API to access GPS data, speeding data and vehicle stats.", "body": "![uploaded image](/media/?type=post&id=72500&key=user_uploads/1241796/74a6448c-c325-45e1-be23-8766bfd032e7)\n\n## **📌 TL;DR**\n\n_Companies building products for transportation, logistics and fleet management spend 30%-40% of their engineering capacity on integrations - this is expensive, undifferentiated work that takes their time away from working on actual customer problems. Terminal (_[_withterminal.com_](http://withterminal.com)_) is a Universal API for Telematics that makes it easy for these teams to integrate all of the top telematics platforms into their application without needing to worry about the complex underlying details._\n\n## 😰 **Problem**\n\nOur customers include (but are not limited to): insurance companies, fuel cards, invoice factorers, fleet management systems, digital freight brokers, load boards and transportation management systems. These folks need access to telematics data to support their end-users who are trucking companies and commercial fleets. Integrating telematics is often a must-have for them and there’s typically a direct correlation between their number of supported integrations and their sales closure rate.\n\nThe telematics market is fragmented, with hundreds of available platforms, each with their own type of integration (REST, SOAP, etc.), and documentation that is not always available. Companies that need to integrate into these vendors have large integration teams and are still unable to meet their customers' demand.\n\n## **🔮 Solution**\n\nTerminal's Universal API for Telematics enables companies to support all of the leading telematics platforms through a single integration. Similar to Plaid and Stripe - our mission is to increase the innovation velocity of transportation, logistics and fleet management through making fleet data more accessible.\n\nWe provide a white-labelled **User Interface** for fleet managers to grant access to telematics data like GPS, vehicle stats, driver hours and safety events.\n\n![uploaded image](/media/?type=post&id=72500&key=user_uploads/1241796/c7ebf48f-6014-4192-adc8-5eed6aef0aa9)\n\nOnce a fleet manager grants access, we extract, normalize, enrich, and sync the data for our customer. We also offer common data models, webhooks and access to raw telematics data to make it easy for customers to integrate. You can learn more about how it works in our [**API Documentation**](https://terminal.stoplight.io/docs/terminal).\n\n![uploaded image](/media/?type=post&id=72500&key=user_uploads/1241796/9b511455-57e1-4ced-a523-df860d3e67a8)\n\nCustomers also receive a **Support Portal** for managing their integrations, customer connections and data syncs.\n\n![uploaded image](/media/?type=post&id=72500&key=user_uploads/1241796/42b9409c-1fbe-4a22-bb93-5d685c91598d)\n\n## **😇 Ask**\n\nIf you know any companies that currently integrate or are looking to integrate with telematics, please let us know at [**founders@withterminal.com**](mailto:founders@withterminal.com).", "url": "https://www.ycombinator.com/launches/IrM-terminal-plaid-for-telematics", "votes": 62, "created_at": "2023-06-24T00:00:20.370Z" } ] }, { "id": 28862, "name": "Corgea", "slug": "corgea", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4f659e1a5051b790e28f097f1c858880dc797b7f.png", "website": "https://www.corgea.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Corgea is an autonomous application security platform that finds and validates vulnerabilities, then generates safe code fixes developers can apply in their existing workflow. In production customers like Zapier and Yageo, see ~20% more true positives and ~90% fewer false positives (vs their prior tooling), reducing triage and speeding remediation without adding headcount.\r\n", "one_liner": "Corgea finds, and fixes insecure code and packages autonomously. ", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1686005960, "tags": [ "Developer Tools", "SaaS", "Security", "Cybersecurity", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/corgea", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/corgea.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/corgea/", "x_url": "https://twitter.com/CorgeaInc", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/corgea", "github_url": "https://github.com/Corgea", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4f659e1a5051b790e28f097f1c858880dc797b7f.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": 65616, "full_name": "Ahmad Sadeddin", "title": "Founder", "founder_bio": "Ahmad is the founder and CEO of Corgea, which is his 3rd startup. His last one was acquired by Coupa. He spent the last 3 years of his tenure there leading the payments product where he worked on making sure their products were secure.", "is_active": true, "linkedin_url": "https://linkedin.com/in/asadeddin", "x_url": "https://twitter.com/asadeddin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2faba562e39bcac6bfbe892753fd27713da6b74d.jpg" } ], "jobs": [ { "id": 69626, "title": "Senior software engineer - California", "url": "https://www.ycombinator.com/companies/corgea/jobs/BkQzEJ1-senior-software-engineer-california", "location": "San Francisco, CA, US / San Mateo, CA, US / Remote (CA, US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $200K", "equity_range": "0.50% - 2.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 69628, "title": "Senior software engineer - Jordan", "url": "https://www.ycombinator.com/companies/corgea/jobs/28hnjyF-senior-software-engineer-jordan", "location": "JO / Remote (JO)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$20K - $65K", "equity_range": "0.10% - 2.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 81750, "title": "Software engineer - Jordan", "url": "https://www.ycombinator.com/companies/corgea/jobs/4ikDBbl-software-engineer-jordan", "location": "JO / Remote (JO)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$17K - $40K", "equity_range": "0.10% - 2.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 81751, "title": "Software engineer - California", "url": "https://www.ycombinator.com/companies/corgea/jobs/Fj7nVVP-software-engineer-california", "location": "San Francisco, CA, US / San Mateo, CA, US / Remote (CA, US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $180K", "equity_range": "0.25% - 2.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 83239, "title": "Security Researcher", "url": "https://www.ycombinator.com/companies/corgea/jobs/flq0ShW-security-researcher", "location": "San Francisco, CA, US / San Mateo, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $220K", "equity_range": "0.25% - 0.75%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "JavaScript", "Python", "Information Security", "Software Security" ] }, { "id": 91598, "title": "Founding DevOps Engineer - California", "url": "https://www.ycombinator.com/companies/corgea/jobs/5adGCih-founding-devops-engineer-california", "location": "San Francisco, CA, US / Remote (US; CA, US)", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "$100K - $210K", "equity_range": "0.05% - 0.50%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 91601, "title": "Founding DevOps Engineer - Jordan", "url": "https://www.ycombinator.com/companies/corgea/jobs/AxEYjCf-founding-devops-engineer-jordan", "location": "JO / Remote (JO)", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "$25K - $42K", "equity_range": "0.05% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": " Introducing PolicyIQ: Contextual Security Analysis for Smarter, More Accurate Results - Corgea - Home", "url": "https://corgea.com/blog/introducing-policyiq-contextual-security-analysis-for-smarter-more-accurate-results", "date": "Jan 15, 2025" }, { "title": "Corgea’s raises $2.6 Million Seed Round", "url": "https://en.incarabia.com/shorooq-partners-leads-corgea%E2%80%99s-us26-million-seed-round-694875.html", "date": "Nov 06, 2024" }, { "title": "Corgea Recognized as an IDC Innovator for DevSecOps Automated Remediation", "url": "https://corgea.com/blog/corgea-recognized-as-an-idc-innovator-for-devsecops-automated-remediation", "date": "Sep 18, 2024" } ], "launches": [ { "id": 103899, "title": "Corgea: Agentic Pentesting", "tagline": "An autonomous penetration testing engine that runs in hours and not weeks", "body": "[**Corgea AI Pentesting**](https://corgea.com/products/ai-pentest): an autonomous penetration testing engine that uses AI agents to plan, execute, validate, and report security tests. It doesn’t run a checklist. It reasons about your application.\n\n\n\n## The numbers\n\nIn a recent pentest:\n\n* **Corgea found 25 findings.** The human pentester found 6.\n* **Delivery time: 4-8 hours.** The human pentest took 2 weeks.\n\n![Corgea AI Pentesting findings overview](https://corgea.com/cms/blog/introducing-ai-pentesting/image-3.png)\n\n## How it works\n\nMost autonomous pentesting tools are black-box scanners with better marketing. They probe endpoints against a generic vulnerability checklist and produce a PDF full of theoretical findings that security teams have to triage manually.\n\nCorgea takes a fundamentally different approach. The engine operates like a real pentesting team.\n\n**Multi-agent architecture.** Not a single scanner. Corgea spawns a coordinator agent that assigns specialized sub-agents (an authentication discovery agent, an API exploration agent, a SQL injection expert agent) based on what it discovers. These agents collaborate, share findings, and build on each other’s discoveries. For complex targets, Corgea can spawn hundreds of agents.\n\n![Corgea AI Pentesting multi-agent execution view](https://corgea.com/cms/blog/introducing-ai-pentesting/image-1.png)\n\n**Code-aware, not black-box.** The engine ingests code context, dependency data, infrastructure configuration, and business logic. It uses your existing [AI SAST](https://corgea.com/products/ai-sast) findings for white-box pentesting, exploiting vulnerabilities at runtime that static analysis already identified. This combination of static insight and dynamic testing dramatically amplifies what the engine can find.\n\n**Dynamic adaptation.** Corgea’s agentic architecture is not fixed. The system continuously adapts its strategy based on what it learns about the target, dynamically scaling the number of agents, their responsibilities, and their specialization. It doesn’t follow a one-size-fits-all workflow.\n\n**Exploitability validation built in.** Corgea doesn’t report theoretical vulnerabilities. Agents validate exploitability during the test itself, confirming a finding can be triggered, capturing evidence, and explaining business impact. This eliminates the triage burden that makes traditional pentest reports a firehose of unverified findings.\n\n![Corgea AI Pentesting exploit reproduction script](https://corgea.com/cms/blog/introducing-ai-pentesting/image-2.png)\n\n## The pipeline\n\n1. **Environment setup.** Corgea provisions a Linux-based sandbox with a full suite of security tools for crawling, discovery, reconnaissance, and exploit validation.\n2. **Scope and context ingestion.** Target scope, endpoints, API documentation, auth flows, user roles, business logic context, and optional code/repo context. Both authenticated and unauthenticated.\n3. **Attack surface discovery.** Maps reachable routes, APIs, parameters, forms, auth boundaries, authorization-sensitive workflows, and exposed services.\n4. **Autonomous test planning.** AI agents reason about application structure and generate test plans for broken access control, IDOR, authentication bypass, injection, SSRF, insecure file handling, sensitive data exposure, and business logic abuse.\n5. **Safe execution and validation.** Hundreds of sub-agents execute probes, observe responses, adapt based on application behavior, and validate exploitability.\n6. **Evidence generation.** For confirmed issues: affected endpoint, payload or request sequence, response evidence, exploitability reasoning, severity, business impact, and remediation recommendation.\n7. **Developer-native remediation.** Findings go directly into developer workflows (PR comments, Jira tickets, Slack notifications, CI/CD pipelines) with reproduction steps, code context, and suggested fixes.\n8. **Reporting.** Findings converted into reports for management, auditors, and customers.\n\n## Supervised autonomy\n\nAutonomous doesn’t mean uncontrolled. Humans remain in control of:\n\n* Defining and approving test scope\n* Setting rules of engagement\n* Approving aggressive or potentially disruptive testing\n* Reviewing sensitive findings\n* Accepting final pentest reports\n* Making risk decisions for production environments\n\nCorgea automates the repetitive and technically complex parts. Humans own the risk decisions.\n\n## Continuous, not point-in-time\n\nTraditional pentesting delivers a PDF report weeks after testing begins. By the time you read it, your application has changed.\n\nCorgea supports both one-time and continuous autonomous pentesting. Retesting is automatic after remediation. Findings close the loop between discovery, fix, and verification in hours, not waiting for the next quarterly cycle.\n\n## Ready to Ditch Security Theater?\n\nIf you're tired of checkbox pentests:\n\nBook a call: \n\nEmail us: sales@corgea.com", "url": "https://www.ycombinator.com/launches/R1n-corgea-agentic-pentesting", "votes": 18, "created_at": "2026-06-24T15:40:00.793Z" }, { "id": 77558, "title": "🐕 Corgea - Easily and quickly fix vulnerable code using AI", "tagline": "We make it easy for companies fix vulnerable code by automating away 80% of the engineering work needed. ", "body": "**TL;DR**: Corgea helps companies fix vulnerable source code. It is an AI-powered security platform that writes security patches for engineer approval, saving 80% of the engineering effort needing and $$$. Having Corgea is like having a security engineer on staff constantly focused on making your code more secure. \n\nHi YC! This is Ahmad, and along with Adam, Pratik and Tamara we’re building [Corgea](https://corgea.com/).\n\n![uploaded image](/media/?type=post&id=77558&key=user_uploads/65616/fd08a653-a912-4b81-8d59-cfb4c56e0d95)\n\n### 🕳️ Unresolved holes in software\n\nCompanies scan their code for security vulnerabilities, and are often met with a big pile of findings. On average, companies take 3 months to fix a vulnerability, and 60% of breach victims were aware of the unpatched vulnerability that was exploited.\n\nWhy? This is because engineers prioritize revenue-generating work, often leaving security fixes lower in priority. It is also really expensive for companies to fix vulnerabilities, costing them between $400 - $4,000 per fix. Unacceptable in today’s environment of more frequent security breaches and increasingly sophisticated attacks.\n\nSecurity teams kept complaining to us that all of their hundreds (yes hundreds) of security tools alert them about issues without giving them a way to actually resolve the issues automatically. This leaves security teams hanging high and dry.\n\n### 🐕 What does Corgea do?\n\nWe’re approaching one of the hardest problems in security with an entirely new approach. Unlike other tools that have been vehemently obsessed with just reporting on vulnerabilities, Corgea fixes them.\n\nCorgea connects to your existing SAST (Static application security testing) tools, like Snyk and Semgrep, and automatically writes code fixes for the reported vulnerabilities. Security teams can issue a pull request for the fix with a single click without disrupting any workflows. Engineers get the code fix for review, and well written descriptions helping them understand the changes.\n\nFor example, Corgea can rewrite code and issue PRs to fix SQL injection, path traversal, SSRF, or hundreds of other vulnerabilities. Here’s a brief demo to show Corgea’s capabilities.\n\n[Fixing Issues using Corgea - Watch Video](https://www.loom.com/share/318f06b97dac48628971bb52db372fb8)\n\n![](https://cdn.loom.com/sessions/thumbnails/318f06b97dac48628971bb52db372fb8-1702061376925-with-play.gif)\n\n### ✅ Empowering Security and Freeing up Engineering\n\nSecurity is often perceived as a blocker to engineering, and vice versa. With Corgea, we’re empowering security teams to be able to take action while also accelerating engineering velocity. This fundamentally changes the dynamic between teams.\n\n* **💪 Stronger code:** companies can now secure their products and reduce their fix times to hours without taxing engineering. Many prospects we spoke to have tens of thousands of vulnerabilities that now has a fighting chance in reducing them.\n* **🚀 Increase engineering velocity:** since Corgea is issuing the code fix, we see up to an 80% savings in time engineers spend fixing security issues. Security can now be an enabler to engineering rather than a blocker.\n* **💰 Slash Costs:** Research shows that a single vulnerability takes about $400 - $4,000 to fix. Corgea reduces these costs by up to 80%. Many enterprises can expect to save at least $10m in direct development costs. This doesn’t account for breach cost savings.\n\nOften, security software lacks a clear return on investment or value proposition. They are frequently bought due to fear, uncertainty, and doubt. At Corgea, our belief is that security software needs to lead first with real value and a clear ROI.\n\n### 🌟 How is Corgea different than existing solutions?\n\nThe current market is flooded with tools that overwhelm security teams with alerts and are not effective at fixing what they’re reporting.\n\n* General code-gen tools do not specialize in security and we’ve seen them inadvertently introduce security issues unbeknownst to the engineer. Additionally, they often do not integrate into a wider ecosystem of tools, preferring to focus solely on their own findings.\n* Most SAST & SCA vulnerability scanners do not remediate issues. Many tout this but it’s mostly limited to upgrading packages from one version to another to reduce a CVSS. This often introduces downstream challenges. If they do offer CWE remediation capabilities their success rates are very low because they’re often based on traditional AI methodologies. Finally, they do not integrate into a wider ecosystem of tools because they want to only serve their own findings.\n\nEnterprises often use multiple scanners like Snyk, Semgrep, Checkmarx, and may have multiple repository tools like Github, Gitlab and Bitbucket for their code. They need a solution that consolidates across their existing tools.\n\n### 👩🏽‍💻 Who is building Corgea?\n\nEach member of the Corgea team has experienced the challenges of addressing vulnerabilities in both security and engineering. We first hand witnessed the frustration of teams in wanting to deliver on high quality feature-rich secure software. Our goal is to shatter the silos between the teams and empower both of them rather than empower one at the expense of the other.\n\nIn our prior roles, we designed, secured and built mission-critical software products at companies like of Coupa, Autodesk, and PlanGrid.\n\n### 🎉 Want to try it?\n\nWe’re really excited to help companies in automating the security of their source code. [Use Corgea today](https://www.corgea.app/registration/) for free and without a credit card. Setup takes less than a few minutes. Feel free to [reach out to us](https://calendly.com/asadeddin/30min?month=2024-01) to chat and get a more in-depth demo.", "url": "https://www.ycombinator.com/launches/KAw-corgea-easily-and-quickly-fix-vulnerable-code-using-ai", "votes": 24, "created_at": "2024-01-16T16:32:31.262Z" }, { "id": 73406, "title": "🐕 Corgea - Enterprise data security and privacy", "tagline": "Empowering enterprises to secure sensitive data", "body": "Hi everyone!\n\nWe’re building [Corgea](https://corgea.com?utm_source=yc&utm_medium=cpc&utm_campaign=yc_launch&utm_id=yc_launch) - a data security and privacy platform that automates sensitive data protection and compliance in the products companies make.\n\n### [**🚩**](https://emojipedia.org/triangular-flag/) **The Problem**\n\nCompanies process sensitive data, but don't know what it is, and who they share it with. They can’t protect and make private what they don’t know they have and what it is. Additionally data protection requires a lot of different stakeholders to come together, and they lack the proper tools to collaborate around it.\n\n### [**⚡**](https://emojipedia.org/high-voltage/) **How does it work?**\n\nCorgea monitors data traffic, classifies sensitive data (e.g., PII, PHI, payment data), and maps where it came from and who it's being shared with. It then tells you which data protection and privacy policies you need to comply with.\n\nCorgea is unique because you can set it up using 300+ out-of-the-box connectors in hours with no IT integration work.\n\n![uploaded image](/media/?type=post&id=73406&key=user_uploads/65616/f206fe9c-e12f-4749-9946-5567453cecb7)\n\n### [**🧰**](https://emojipedia.org/toolbox/) **What can you do with Corgea?**\n\nHaving this information at your fingertips gives you super powers to be able to:\n\n* Unlock revenue by making data protection your competitive advantage\n* Reduce your attack surface vector of your infrastructure\n* Accelerate breach response\n* Know which 3rd parties receive sensitive data\n* Understand your data compliance requirements\n* Receive alerts for out-of-policy data events\n* Perform data minimization\n\n![uploaded image](/media/?type=post&id=73406&key=user_uploads/65616/dad1dd93-4e77-4560-95b3-cda61b090fc6)\n\n### [**📖**](https://emojipedia.org/open-book/) **The Story**\n\nOne day, Ahmad received a massive excel sheet to fill out for a data privacy initiative. By the end of it, he had curated hundreds of data fields manually, and identified where they came from and where they were sent to. Feeling how inefficient this was for the company, he decided to automate it by building Corgea.\n\nAhmad previously led the payments product at Coupa and founded 2 other companies before Corgea. His last company was acquired by Coupa.\n\n![uploaded image](/media/?type=post&id=73406&key=user_uploads/65616/437a87ab-4bc7-47d8-b8a8-9c81c8f0d034)\n\n### **🚀 Team**\n\nAhmad is joined by an amazing team all with experience in working and building software in regulated data environments such as HIPAA, FedRamp, PCI, ITAR, and data privacy.\n\n![uploaded image](/media/?type=post&id=73406&key=user_uploads/65616/c345a149-ae43-472e-a09c-ff7895239bf9)\n\n### [**❤️**](https://emojipedia.org/red-heart/)**Interested?**\n\nIf you are a company processing sensitive data, and want to unlock revenue while being compliant then [**schedule a call with us**](https://l.linklyhq.com/l/1rIbH)!\n\nCompanies that sign up before Aug 30th are eligible for **50% off**!", "url": "https://www.ycombinator.com/launches/J5y-corgea-enterprise-data-security-and-privacy", "votes": 43, "created_at": "2023-07-25T14:47:43.101Z" } ] }, { "id": 28863, "name": "Serra", "slug": "serra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/de1a90717852abf9734482354e7229c962c19089.png", "website": "https://www.serra.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Serra is an AI recruiter that fully automates candidate sourcing and outreach, finding ideal talent from LinkedIn, GitHub, Crunchbase, and your ATS. Companies hiring Serra skip sourcing entirely and simply get qualified interviews on their calendar.", "one_liner": "Your 24/7 AI Recruiter", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Recruiting and Talent", "launched_at": 1689272119, "tags": [ "Recruiting", "HR Tech", "Enterprise Software", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Recruiting and Talent" ], "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/serra", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/serra.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/serraio/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Serra-Technologies", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/de1a90717852abf9734482354e7229c962c19089.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": 1241137, "full_name": "Alan Wang", "title": "Founder", "founder_bio": "Co-founder/CEO @ Serra. Former Data Engineer at Disney+. UCLA Stats + Data Science.", "is_active": true, "linkedin_url": "https://linkedin.com/in/alanhlwang", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5d5e8e535f08b4b0844dc4bfc4e16d1c99f22353.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94993, "title": "Serra — The AI Recruiter That Hires Through Your Network", "tagline": "Find the best talent in your team's network and outside of it. ", "body": "Hey YC community! 👋 We’re the cofounders of [Serra](https://serra.io/) — an AI recruiting agent that automates sourcing, outreach, and warm introductions through your team’s network.\n\nCompanies like Waymo, Verkada and Replit use Serra to skip manual sourcing and get qualified interviews straight on their calendar.\n\nTell your agents who you’re looking for, and Serra will use your team’s combined network, LinkedIn, Github, and Crunchbase to find the right people and who can intro you to them.\n\n![uploaded image](/media/?type=post&id=94993&key=user_uploads/1241137/3894ace7-4e45-4e49-b12e-ed243d06f2ef)\n\n\n![uploaded image](/media/?type=post&id=94993&key=user_uploads/1241137/9a73d72e-2304-4235-bafa-faa179b7b35e)\n\n\n### **Why we built it**\n\nRecruiters and founders spend most of their week manually searching LinkedIn, sending cold messages, and juggling tools.\n\nEvery company already knows thousands of great candidates through its employees—but that data just sits unused.\n\nSerra combines **outbound search** + **your team’s connections** to find warm paths to the best talent.\n\nIt drafts personalized outreach, tracks replies, and books interviews automatically.\n\n---\n\n### **What’s happened so far**\n\n* Serra has made hires for \\~100 companies like Replit, Verkada, and EquipmentShare\n* 5–10× higher reply rates on warm intros vs. cold outreach\n* Average recruiter saves 15 hours per role\n\n### **What’s next**\n\nWe’re expanding our **AI Referral Network** so that every recruiter and employee in a company contributes to a shared warm graph.\n\nThat means smarter recommendations, faster hires, and a compounding network effect with every new user.\n\nIf you’re a founder or recruiter who’s tired of cold sourcing, give Serra a try: https://serra.io/contact", "url": "https://www.ycombinator.com/launches/Oi9-serra-the-ai-recruiter-that-hires-through-your-network", "votes": 15, "created_at": "2025-10-29T03:19:26.500Z" }, { "id": 89379, "title": "Serra 🧑‍🏫 Your 24/7 AI Recruiter", "tagline": "Serra is your AI-powered recruiting assistant that sources and engages ideal candidates nonstop, letting your team focus on hiring—not searching.", "body": "Hey YC community 👋\n\n[Alan](https://www.linkedin.com/in/alanhlwang/) and [Albert](https://www.linkedin.com/in/albertjstanley/) here! We're excited to introduce Serra—the fully autonomous AI Recruiter that transforms how startups find and engage talent.\n\n**🚀 TL;DR**\\\nSerra autonomously handles your candidate sourcing 24/7. It identifies, evaluates, and engages top-tier talent so your recruiting team can focus on meaningful human interactions.\n\n📺 **See Serra in action:** \n\n**❌ The Problem**\\\nTalent sourcing today is still manual, inefficient, and repetitive. Recruiters spend countless hours creating Boolean search strings, sifting through profiles, and handling outreach manually—taking precious time away from meaningful interactions. This slows down hiring, increases costs, and risks missing top candidates.\n\n**🤖 Our Solution**\\\nSerra is your AI-powered sourcing partner, working around the clock to:\n\n* **Find ideal candidates** across LinkedIn, GitHub, and your ATS.\n* **Automatically review and shortlist** candidates by precisely matching your criteria.\n* **Engage proactively** via personalized, automated outreach sequences directly through LinkedIn and email.\n* **Continuously source** new talent, keeping your pipeline fresh without manual effort.\n\nSerra ensures your recruiting team spends their valuable time engaging and hiring the best candidates—not searching databases.\n\n**🛠️ How It Works**\\\nSimply talk or type your hiring criteria into Serra:\n\n> \"Hi Serra, find me a technical Head of Product at Series B-D startups, preferably with co-founding experience and recent promotions.\"\n\nSerra clarifies any additional details, conducts exhaustive searches, vets profiles automatically, and starts personalized candidate outreach—all autonomously.\n\n**📖 Our Story**\\\nWe built Serra after talking to dozens of YC founders experiencing firsthand the pain of inefficient sourcing in high-growth startups. The goal became very simple: help companies build better teams, faster.\n\n**🎯 Our Ask**\n\n* **Are you hiring or scaling your team?** We’d love you to try Serra firsthand. Visit [serra.io](http://serra.io/) and mention YC for priority onboarding.\n* **Know someone who could benefit from automated sourcing?** Introductions are greatly appreciated!\n\n👉 **Reach out directly:** [founders@serra.io](mailto:founders@serra.io)\n\nLet Serra handle the heavy lifting so your team can focus on what matters most—your people. Excited to hear your thoughts!\n\nCheers, \\\nThe Serra Team", "url": "https://www.ycombinator.com/launches/NFb-serra-your-24-7-ai-recruiter", "votes": 10, "created_at": "2025-04-10T16:44:46.577Z" }, { "id": 83930, "title": "Serra — Find the best talent using AI", "tagline": "AI search engine to find the best talent to hire", "body": "**✅ Value-Prop:**\n\nCutting down time to hire + increasing quality of candidates top-of-funnel. Try us out at cloud.serra.io.\n\n**TLDR;**\n\nInstead of manually selecting keywords and reviewing candidates one by one, recruiters can search in plain English on Serra and instantly see the best matches, with all their research done for them. Serra now has \\~1 billion candidates in their database, emails and phone numbers included. Watch our demo [here.](https://youtu.be/KWGNcVFMH_k)\n\n---\n\n---\n\n—\n\nHey everybody! We’re Alan and Albert, and we built Serra to speed up time- and increase quality-of-hire for founders and recruiters. We reached out to dozens of founders at Series A and B YC companies and found that hiring the right people, faster, was a recurring painpoint.\n\n**❌ Problem:**\n\nHiring requires sorting through hundreds of resumes, reaching out to dozens of candidates, and buying expensive search licenses that still rely on outdated keyword matching. Candidates can game ATS filters by stuffing their profiles with keywords. This wastes months of time and money, often leading to poor hires and this cycle repeating itself.\n\n**✅ Solution:**\n\n![uploaded image](/media/?type=post&id=83930&key=user_uploads/1241137/27d9b45c-baa7-432c-a325-bb145e9d9c3d)\n\nSerra is a vector-based search engine that focuses on understanding the context of each profile. It delivers more accurate matches based on what you actually asked for rather than relying on exact keyword matches. Serra utilizes LLMs to rank and research millions of candidates simultaneously.\n\nSerra fact-checks what candidates put on their profiles—if a candidate claims they have experience in training and deploying machine learning models in production, Serra checks GitHub for tangible evidence.\n\nSerra can also hook up directly to your ATS, allowing you to apply the same search benefits to candidates inside of it.\n\n**❓Ask from us:**\n\nTry us out with 2 free searches at [cloud.serra.io](http://cloud.serra.io)!\n\nFor founders aggressively hiring and looking to source better talent faster, book a demo [here](https://calendar.app.google/ZiqkQL11E458DAV8A) or drop us a note at [alan@serra.io](mailto:alan@serra.io)!", "url": "https://www.ycombinator.com/launches/Lpi-serra-find-the-best-talent-using-ai", "votes": 13, "created_at": "2024-09-11T04:01:03.076Z" }, { "id": 82024, "title": "🔍 Serra: AI-powered candidate search", "tagline": "Search engine for recruiters to find best-fit candidates.", "body": "**tldr;** [Serra](https://www.serra.io/) is an AI-driven search engine for recruiters to find best-fit candidates, both within their ATS and outside of it. \n\n![uploaded image](/media/?type=post&id=82024&key=user_uploads/1241137/9b4c6415-ec10-49a2-9543-f352447ab2bb)\n\nHi everyone, 👋 [Alan](https://linkedin.com/in/alanhlwang) and [Albert](https://linkedin.com/in/albertjstanley) here—we’re best friends from UCLA and co-founders of Serra!\n\n### **⛔️ The Problem**\n\nIdentifying best-fit candidates, both inbound and outbound, is time-consuming, manual work for recruiters.\n\nThis leads to longer hiring times, missed opportunities, and suboptimal hiring decisions.\n\n### **✅ Our Solution**\n\nSerra is a search engine for recruiters to find the best-fit inbound and outbound candidates.\n\nConnected to your ATS and external candidate sources, recruiters can search “B2B sales reps that have managed key enterprise accounts” and see top matches.\n\nSerra improves on keyword matching by understanding the context of candidates' profiles, ensuring you receive the most accurate results.\n\n**Key Features:**\n\n* **🔦 Analyze Inbound Applicants**: Uses vector search, GPT to sift through thousands of applications in your ATS for signal.\n* **🔍 Conduct Outbound Searches**: Scans external candidate databases to find profiles that match specific job requirements.\n* **🚚 Deliver Actionable Insights**: Get ranked candidate results, classify candidates, and automate pre-screening Q&A collection.\n* **📊 Visualize Results:** Get dashboards that track hiring efficiency, candidate engagement, and long-term employee performance.\n\n### **❓Our Ask**\n\nDrowning in inbound applications? Looking to speed up your hiring times while maintaining the quality of hires? Try out Serra to improve the quality and speed of candidates entering your recruitment funnel. Here's how you can get started:\n\n* **Demo and Consultation**: If you’re a startup that’s hiring and want a demo or wish to discuss your recruitment needs further, please book a call with us [here](https://calendar.app.google/b8ytpup7wg3EpgAX7) or shoot me an email at [alan@serra.io](mailto:alan@serra.io)!", "url": "https://www.ycombinator.com/launches/LKy-serra-ai-powered-candidate-search", "votes": 14, "created_at": "2024-07-10T14:03:16.813Z" }, { "id": 73883, "title": "🔹Serra - Simplify SQL with one command", "tagline": "SQL to PySpark Translator", "body": "**tl;dr:** never deal with unintuitive 1000+ line SQL scripts again. [Serra](https://github.com/Serra-Technologies/serra) simplifies SQL into modular PySpark objects that are much faster to run, reuse, and debug. Check out our repo [here](https://github.com/Serra-Technologies/serra)!\n\nHey everyone! We’re back again to announce the open-source launch of Serra—never deal with unintuitive 1000+ line SQL scripts again.\n\nWe’re also launching the beta of our translate feature with a free week trial! Get an easy starting point/suggestion for simplifying your SQL scripts into PySpark objects by running _serra translate your_script.sql_.\n\n![uploaded image](/media/?type=post&id=73883&key=user_uploads/1241137/65845ad3-4950-4357-a32b-dcd33981816f)\n\n### **❌ Problem:**\n\nSQL scripts are huge, messy, and hard to debug. Declarative, monolithic SQL gets overwhelming quickly for data analysts, scientists, and engineers—leading to huge time sinks and data outages.\n\n### **😌 How do we solve it?**\n\nWe’re a low-code ETL framework that simplifies SQL into modular PySpark objects that are much faster to run, reuse, and debug. Think end-to-end dbt with the benefits of object-oriented Spark!\n\nWe wrap all of this into a command-line tool that allows you to create your own PySpark jobs, run them locally, and simplify your SQL scripts to PySpark.\n\n### **👏 The Team**\n\n![uploaded image](/media/?type=post&id=73883&key=user_uploads/1241137/f1469834-d630-417d-942a-c9efec1a8e0d)\n\n[Alan](https://www.linkedin.com/in/alanhlwang/) and [Albert](https://www.linkedin.com/search/results/all/?fetchDeterministicClustersOnly=true&heroEntityKey=urn%3Ali%3Afsd_profile%3AACoAABvJV34B9Kn2x938wSRljsdtR_Vu8-sNKUg&keywords=albert%20stanley&origin=RICH_QUERY_TYPEAHEAD_HISTORY&position=0&searchId=2590d498-3822-4c87-904c-47bec49bccd6&sid=DN6) are best friends from middle school Algebra. Alan is an ex-Data Engineer at Disney+ and a Statistics & Data Science alum from UCLA. Albert is an ex-Software Engineer at Amazon Alexa and a UCLA Master’s graduate in Computer Science.\n\n### **Asks:**\n\n* Check out (and star 🤩) the repo: \n* Intros to any companies struggling with their SQL/data workflow—we’ll help retool their data workflow! Email us at [founders@serra.io](mailto:founders@serra.io).\n* Try it out yourself by doing a pip install of serra! For setup help feel free to reach out—make sure you have python >= 3.10 installed!).", "url": "https://www.ycombinator.com/launches/JDf-serra-simplify-sql-with-one-command", "votes": 10, "created_at": "2023-08-07T21:28:44.592Z" }, { "id": 73132, "title": "🔹 Serra - Low-code, modular SQL", "tagline": "Python-based dbt alternative", "body": "**tl;dr:** [Serra](https://www.serra.io) takes a 200-line SQL script and reduces it to a few lines of code. Serra simplifies complex pipeline logic with reusable testable objects, saving hours of development and maintenance time.\n\nHi everyone! We’re Alan and Albert, the best friends behind Serra. We want to simplify ETL so that even your dad (👨🏻) can maintain a data pipeline.\n\n![uploaded image](/media/?type=post&id=73132&key=user_uploads/1241137/e069458b-6108-48e2-b2b2-33304afc6880)\n\n### **❌ The Problem**\n\nCompanies spend **$520K** annually building and maintaining data pipelines.\n\nData engineers spend **44% of their time** fixing pipelines that inevitably crash.\n\n> **12 data engineers** \\* **$98K salary** \\* **44% of their time** = **$520K** ([Fivetran](https://get.fivetran.com/rs/353-UTB-444/images/2021-CDL-Wakefield-Research.pdf))\n\nSo why do data pipelines crash and burn?\n\n* Complex scripts\n* Limited alerting, debugging\n* Inadequate testing\n\nAll of these make data pipelines a nightmare to fix, especially at 3am.\n\n## **✨ Our Solution**\n\n**Serra is a python-based DBT alternative that takes a 200-line SQL script and reduces it to just a few lines of code.**\n\n![uploaded image](/media/?type=post&id=73132&key=user_uploads/1241137/7eec5a59-66c0-4007-9b22-efd89aa5e2ca)\n\nSerra’s framework emphasizes software engineering best practices like **readability, testability, modularity, and reusability**.\n\nSerra **simplifies** complex SQL scripts to just a few lines of Python code with modular transformers and in-house connectors.\n\nSerra provides **fully-customizable error logging** for every transformer and connector.\n\nWith a command line tool, developers can easily create pipelines, auto document them, **run local tests**, and **run jobs with their favorite data warehouse.**\n\n![uploaded image](/media/?type=post&id=73132&key=user_uploads/1241137/0588746d-9b72-4e91-bc4f-cea9e6eab736)\n\n## **🤔 How are we different from DBT?**\n\nSerra is not tied to SQL and therefore handles all parts of ETL. Serra provides intuitive control flow, more complex transforms with Python, full streaming support, and comprehensive debugging/testing capabilities.\n\n## **👏 The Team**\n\n[Alan](https://www.linkedin.com/in/alanhlwang/) and [Albert](https://www.linkedin.com/search/results/all/?fetchDeterministicClustersOnly=true&heroEntityKey=urn%3Ali%3Afsd_profile%3AACoAABvJV34B9Kn2x938wSRljsdtR_Vu8-sNKUg&keywords=albert%20stanley&origin=RICH_QUERY_TYPEAHEAD_HISTORY&position=0&searchId=2590d498-3822-4c87-904c-47bec49bccd6&sid=DN6) are best friends from middle school Algebra. Alan is an ex-Data Engineer at Disney+ and a Statistics & Data Science alum from UCLA. Albert is an ex-Software Engineer at Amazon Alexa and a UCLA Master’s graduate in Computer Science.\n\n## **🙏 Ask**\n\nTry out our live demo [here](https://replit.com/@serra-technologies/SerraDemo) (fork the Replit)!\n\nIf you like what you see, join our [waitlist](https://www.serra.io) and [Discord](https://discord.gg/3VbvqWbE)!\n\nIntros to any data engineers, data leaders, Databricks users, and anyone from companies that are trying to optimize their ETLs would be amazing. Please reach out at [founders@serra.io](mailto:founders@serra.io)!", "url": "https://www.ycombinator.com/launches/J1Y-serra-low-code-modular-sql", "votes": 52, "created_at": "2023-07-17T14:13:53.699Z" } ] }, { "id": 28864, "name": "Outset", "slug": "outset", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b9884cde2f06e46373b20cec776477bb5ff0f4c1.png", "website": "https://outset.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Outset offers AI-powered user interviews to conduct qualitative research. Traditional surveys are fast but lack depth while live interviews produce high quality data but are slow and expensive. Outset uses LLMs to lead interviews and synthesize results so researchers get high quality data 100 times faster. ", "one_liner": "AI-powered user interviews", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1683921315, "tags": [ "SaaS", "B2B", "Market Research", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/outset", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/outset.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/outset-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b9884cde2f06e46373b20cec776477bb5ff0f4c1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1327240, "full_name": "Aaron Cannon", "title": "Founder", "founder_bio": "Co-founder and CEO of Outset. Aaron was previously the head of product at Untapped and Triplebyte and played senior product roles at Tesla, Pebble, and Monitor Deloitte before that. He started his career as a tour manager for a band called Timeflies. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/a-a-ron-cannon/", "x_url": "https://twitter.com/AaronLCannon", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/47ab295ac1ee892b63713f73b9e454b706d119f7.jpg" }, { "user_id": 925701, "full_name": "Michael Hess", "title": "Founder", "founder_bio": "Engineer-turned-firefighter-turned-founder", "is_active": true, "linkedin_url": "https://linkedin.com/in/mchl-hess", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/021aab0d7cce35290c351b9553227b59e4b41f59.jpg" } ], "jobs": [ { "id": 75468, "title": "Enterprise Account Executive", "url": "https://www.ycombinator.com/companies/outset/jobs/I4rpa3J-enterprise-account-executive", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $250K", "equity_range": "0.02% - 0.15%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 84174, "title": "Backend Software Engineer", "url": "https://www.ycombinator.com/companies/outset/jobs/1sK7UAT-backend-software-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$175K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "How Outset Turned AI Interviews Into a New Category", "url": "https://www.youtube.com/watch?v=x3XOeDckUX0", "date": "Aug 27, 2026" }, { "title": "Customer research startup Outset raises $30M led by M12", "url": "https://www.axios.com/pro/enterprise-software-deals/2025/12/10/customer-research-chatbot-outset-radical", "date": "Dec 10, 2025" }, { "title": "Outset raises $17M to replace human interviewers with AI agents for enterprise research | VentureBeat", "url": "https://venturebeat.com/ai/outset-raises-17m-to-replace-human-interviewers-with-ai-agents-for-enterprise-research/", "date": "Jun 11, 2025" }, { "title": "Outset is using GPT-4 to make user surveys better | TechCrunch", "url": "https://techcrunch.com/2023/10/26/outset-is-using-gpt-4-to-make-user-surveys-better/", "date": "Oct 26, 2023" } ], "launches": [ { "id": 78263, "title": "🎥 Outset: AI video interviews", "tagline": "Accelerate your research with AI-powered user interviews", "body": "**TL;DR** - [Outset](https://outset.ai/) is launching its biggest upgrade since our initial launch in June. AI-powered video interviews. Now you can get the depth of an interview at the speed and scale of a survey, all with the story-telling power of video.\n\n**Problem:** Researchers are stuck between two bad options today. Surveys are fast and scalable but don’t get the depth you need. Interviews go deep — particularly over video — but are stuck with a small sample size and are incredibly time-consuming.\n\n**Solution:** AI-powered interviews give you the best of both so you don’t have to choose. LLMs are incredibly powerful question-askers — with the input of a discussion guide, Outset’s AI interviewer leads deep, probing conversations with hundreds of participants at once, and synthesizes your results. You can test concepts or designs, ask about behaviors, or learn about underlying motivations…all while you sleep.\n\n**The addition of video:** While the words in an interview can give you answers, they rarely tell the whole story. Video is by far the best way to capture, internalize, and tell the stories of your users or the market you’re going after.\n\nIf you’re interested in learning more, hit us up! Check out more at .\n\n![uploaded image](/media/?type=post&id=78263&key=user_uploads/1327240/a8d547b4-84c2-4c0e-9c09-d401d143d6b3)\n\n", "url": "https://www.ycombinator.com/launches/KMJ-outset-ai-video-interviews", "votes": 11, "created_at": "2024-02-08T00:43:13.041Z" }, { "id": 72213, "title": "Outset - AI-powered user interviews", "tagline": "Turn weeks of work into (almost) instant insights", "body": "**TL;DR** - Getting answers to tough, qualitative questions from your users is extremely costly (in time _and_ money). Outset provides an AI-interviewer that conducts and synthesizes research interviews autonomously. Researchers get large-scale, in-depth data (almost) instantly.\n\n### **Our asks**\n\n* **Early startups: Give us feedback!** [Sign up here](https://outset.ai/login?utm_campaign=launch_yc), and get 50 AI interviews for free.\n* **Larger teams: Book a demo!** Researchers or product/design leaders at mid-market or enterprise companies are our sweet spot. Whether you have researchers on your team or have research-oriented friends, we’d love to meet them! [Book a demo here](https://calendly.com/a-a-ron1/outset-demo).\n\n### **Problem**\n\nWe’re Aaron and Michael, co-founders of Outset (YC S23).\n\nToday, user and market researchers face an unfortunate tradeoff: do you want FAST insights (surveys) or do you want DEEP insights (interviews)?\n\nWe’ve felt this struggle. As a strategy consultant at Deloitte, Aaron facilitated dozens of research projects for Fortune 500 companies. He and his team would spend hundreds of hours on each project just to schedule and moderate a few dozen interviews. And both of us have seen first-hand the need for even faster, deeper user insights at growing software companies.\n\n### **Solution**\n\nOutset gets you both — fast **and** deep insights — with AI-moderated research.\n\nImagine if you could ask hundreds of people a complex, qualitative question (like ‘What motivates you in your career?’) and get back an actionable synthesis of the answers? Now imagine if you could do that in less than a day…\n\nOur AI-moderated research platform uses GPT-4 to autonomously lead in-depth interviews with participants and analyze results. Designed for high-impact research teams at larger companies, Outset gathers valuable, large-scale qualitative data (almost) instantly, turning weeks of work into hours.\n\nOutset users load up an interview guide, share a link with their participants, and watch AI conduct hundreds of interviews at once. AI follows up with participants to clarify, probes on answers, and creates a conversational rapport where responses get deep.\n\n![uploaded image](/media/?type=post&id=72213&key=user_uploads/1327240/bab1ab87-3b42-462f-a046-8fbead045dff)\n\nFor every question, AI generates themes, tallies up counts, and highlights powerful quotes to uncover the story. What used to be days of dedicated transcript analysis work is now almost instant.\n\n![uploaded image](/media/?type=post&id=72213&key=user_uploads/1327240/52d11205-52b7-48e9-9c32-a91f35695242)\n\n### **Customer case study**\n\n**With Outset, WeightWatchers put together an interview guide, shared it out, and conducted and synthesized over 100 in-depth interviews in under 24 hours, saving them over a week of work.** The results are now being used to propose a new internal framework for user segmentation.\n\n_“The speed and quality of the responses were both outstanding. I expect Outset will afford my team the opportunity to significantly increase the speed of delivery and the volume of data they are able to collect.” - Wilson Readinger, Head of UX Research @ WeightWatchers_", "url": "https://www.ycombinator.com/launches/Imj-outset-ai-powered-user-interviews", "votes": 32, "created_at": "2023-06-12T19:57:44.481Z" } ] }, { "id": 28865, "name": "Hegel AI", "slug": "hegel-ai", "former_names": [ "Moxi: Model Exchange Infrastructure" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d4c1505ac12ec772ffd315c1efa3139c51ae9e35.png", "website": "https://hegel-ai.com", "all_locations": "New York City, NY, USA", "long_description": "We build tools for developing applications with generative AI models. Whether you are using LLMs, vector databases, and text-to-image models like Stable Diffusion, our tools help you find the right model, prompt, configuration and consistently monitor their behaviors in production.\r\n\r\n---\r\n\r\n**PromptTools**: the first open-source, developer-focused SDK for experimenting with and evaluating prompts, models, and vector databases. You can try the repo here: https://github.com/hegelai/prompttools. If you're building with LLMs and struggling with evaluation, reach out and we can help.", "one_liner": "Open source tools for developing generative AI applications", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1690471692, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hegel-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/hegel-ai.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d4c1505ac12ec772ffd315c1efa3139c51ae9e35.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": 1424101, "full_name": "Kevin Tse", "title": "Founder", "founder_bio": "Building open-source developer tools for large language models at Hegel AI.\n\nHappy to connect and chat about how your company is using AI and LLMs!", "is_active": true, "linkedin_url": "https://linkedin.com/in/kevin-tse-35051367", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4bb49f02a2ada149717f9ffc989cc10d608f0233.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73501, "title": "Hegel AI: Open source tools for language model evaluation", "tagline": "Experiment with models, prompts, and vector databases in just a few lines of code", "body": "**TL;DR** [Hegel AI](https://hegel-ai.com/) is building developer tools for LLM and prompt evaluation and continuous testing, with over a thousand downloads per week since launch. We’re a team of ex-PyTorch engineers from Meta and Google.\n\n# The Problem\n\n_Is Llama 2 really better? Is GPT-4 getting worse?_ Developers building with language models are constantly facing challenges with (1) model drift (2) new models and (3) insufficient evaluation systems. Besides academic metrics and “eyeballing it”, there’s no existing solution for continuous LLM regression testing or experimentation.\n\n![uploaded image](/media/?type=post&id=73501&key=user_uploads/1324508/f9481110-9296-4fb1-b5ab-68ce35d6bdfc)\n\nWhat’s more, the complexity of LLMs and related tools like vector databases make it hard for developers to set up honest apples-to-apples comparisons for their use case.\n\n![uploaded image](/media/?type=post&id=73501&key=user_uploads/1324508/e7dc639a-27c3-4849-8245-9bda29648954)\n\n# Our Mission\n\nWe want to make high quality evaluation and testing systems available to everyone, which is why we’re building an open source platform for language model evaluation. Developers can use our product to [monitor GPT-4 regressions](https://github.com/hegelai/prompttools/blob/main/examples/notebooks/GPT4RegressionTesting.ipynb), audit models for safety, and [measure performance of vector databases](https://github.com/hegelai/prompttools/blob/main/examples/notebooks/ChromaDBExperiment.ipynb). \n\n# How it works\n\nDevelopers come to our product with some test cases, and an idea of the models or vector databases they want to evaluate. We handle all of the testing infrastructure to help them (1) set up experiments across models/DBs in notebooks and (2) scale those experiments into reusable test suites. \n\n![uploaded image](/media/?type=post&id=73501&key=user_uploads/1324508/da633110-74ba-449b-b4f1-017ad8ec6ffd)\n\n\\\nWe support multiple strategies for evaluation: auto-eval by another model, systematic evaluations like structured output validation or semantic similarity to an expected output, or even through gathering human feedback with our notebook UI.\n\n![uploaded image](/media/?type=post&id=73501&key=user_uploads/1324508/13b7aa5e-e9d8-43de-b191-6d5c5fc1f04a)\n\n# The Team\n\n![uploaded image](/media/?type=post&id=73501&key=user_uploads/1324508/6dbe38e4-9070-464e-b06b-55ac3d21be7f)\n\n[Kevin Tse](https://www.linkedin.com/in/kevin-tse-35051367/) and [Steven Krawczyk](https://www.linkedin.com/in/steventkrawczyk/) met 9 years ago when we started our undergraduate studies at the University of Chicago. We crossed paths again years after graduation when we were both working on [PyTorch](https://github.com/pytorch/pytorch), an open-source deep learning library, at Meta and Google. We worked on the core library, data loading, and the XLA compiler library. Prior to that, we worked at Amazon and Bridgewater Associates.\n\n# Testimonials\n\n_It’s hard to convince senior management that investing in LLMs is worth it, without doing expensive experimentation on my own._\n\n* _Soma Szabo, Data Science Manager at McMaster-Carr_\n\n_If you are doing anything remotely related to prompting, you'd know how frustrating & inefficient it is to compare between prompts. I, for one, am using it to make my life easier in building Watto AI._\n\n* _Rishabh Panwar, Co-Founder & CEO, Watto AI_\n\n# Asks\n\n* Install the [Python library](https://pypi.org/project/prompttools/) and try it yourself!\n* Give us a star on [GitHub](https://github.com/hegelai/prompttools) and [join our Discord community](https://discord.gg/72a9xh5Z7P).\n* [Contact us](mailto:team@hegel-ai.com) if you want enterprise support for experimentation or early access to our hosted UI and observability tools", "url": "https://www.ycombinator.com/launches/J7V-hegel-ai-open-source-tools-for-language-model-evaluation", "votes": 88, "created_at": "2023-07-27T15:26:58.756Z" } ] }, { "id": 28867, "name": "Shasta Health", "slug": "shasta-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0ddbae01a1bda2827881248dc2c26ab87f27982.png", "website": "https://www.shasta.health", "all_locations": "San Francisco, CA, USA", "long_description": "Shasta Health builds AI agents that run the front office for rehab therapy groups. We handle calls, texts, insurance verification, prior authorizations, and more - helping turn patient interest into completed, billable visits. Your team gets more time to focus on the patients in front of them.", "one_liner": "Helping rehab practices book more patients", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare Services", "launched_at": 1690927737, "tags": [ "Health Tech", "Digital Health", "Healthcare", "Healthcare IT", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare Services" ], "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/shasta-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/shasta-health.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/shasta-health", "x_url": "https://twitter.com/getshastahealth", "fb_url": "https://www.facebook.com/people/Shasta-Health-Tech-Enabled-Physical-Therapy/100094633298590/", "cb_url": null, "github_url": "https://github.com/shastahealth", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0ddbae01a1bda2827881248dc2c26ab87f27982.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1ce95f618515ea92a62a4f24a22c5d48e5913557.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 896902, "full_name": "Srinjoy Majumdar", "title": "Founder", "founder_bio": "Srinjoy is co-founder and CEO at Shasta Health. Previously, he was a Senior Software Engineer at Microsoft on the HoloLens AR Headset. He led and delivered several computer-vision projects at Microsoft while working closely with companies in healthcare and construction. In college, he studied ECE at UT Austin while working part-time as a Software Engineer at GitHub and an undergraduate researcher at two healthcare robotics labs.", "is_active": true, "linkedin_url": "https://linkedin.com/in/srinjoym", "x_url": "https://twitter.com/SrinjoyMajumdar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3cc85e3123e199cc876363aba6820391ed94669d.jpg" }, { "user_id": 1247241, "full_name": "Pransu Dash", "title": "Founder", "founder_bio": "Pransu is the co-founder of Shasta Health. Before Shasta he was an engineer at Athelas (YC W16) building healthcare AI software while working with many healthcare customers. He also brings experience in telehealth privacy research at UC Berkeley. In previous roles, Pransu also was a key member of software teams at a series of companies including Atlassian, Microsoft, and Cockroach Labs.", "is_active": true, "linkedin_url": "https://linkedin.com/in/pransudash", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/70cc4ac556aaaf4d4916e72e9a2e5d4d0ae0d08a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73766, "title": "Shasta Health 🌄 - Hybrid care for muscle and joint pain", "tagline": "We combine expert physical therapists with AI care programs", "body": "**TL;DR:**\n\n[Shasta Health](https://www.shasta.health/)‘s AI Platform provides muscle and joint pain relief **from home** at **¼ the cost** of traditional physical therapy. We combine computer-vision based care programs with expert physical therapists to deliver personalized care at scale. For providers, our platform automates patient acquisition, documentation and billing so they earn **3x more** than at a big clinic.\n\n**If you are in CA, **[**sign up for an appointment today**](https://beta.shasta.health/patient/onboarding)**.**\n\n### The Problem\n\nWe’ve talked to hundreds of PTs over the last few months who are burned out and looking to leave their profession. Existing digital MSK solutions are not personalized and only accessible through employer plans.\n\n1. Physical therapists (PTs) only keep **25%** of the revenue they generate for their clinics. To earn enough money, they have to see more than 20 patients per day, spending **less than 15 minutes** with each one.\n2. This leads to low patient satisfaction. Patients waste **5 hours** of time in the clinic and spend **$90** in co-pays in a typical week. **Only 30%** actually finish their full plan of care with the top complaint being lack of time and motivation.\n3. Low adherence means the only alternatives are turning to opioids or surgery. This drives over **$600 billion** in annual healthcare spend on MSK conditions.\n\n# \n\n### The Solution\n\nShasta Health provides **integrated** muscle and joint pain relief **at home**, combining expert care from PTs with AI tools to improve care plan adherence. Here is what happens when you come to Shasta Health:\n\n1. You fill out a secure intake powered by an language model + computer-vision with your symptoms. We use this to match you with the right physical therapist and automatically generate documentation on the backend.\n\n ![uploaded image](/media/?type=post&id=73766&key=user_uploads/896902/35c9bea3-c7b1-4858-afe9-87f633478f29)\n\n2. You meet with your physical therapist in an hour-long 1:1 or group session. The PT already knows your history and evaluates you over video using our computer-vision based tools. They also teach you exercises to relieve the pain.\n\n ![uploaded image](/media/?type=post&id=73766&key=user_uploads/1247241/a5af27c5-eb8c-4d20-82a1-8f52ae82d6f4)\n\n3. After the appointment, we generate a personalized care plan based on the provider’s notes. We track your progress daily and provide real-time feedback using computer-vision during the exercises\n\n ![uploaded image](/media/?type=post&id=73766&key=user_uploads/896902/f83d300d-8a20-43b5-84d7-df41edbeeb93)\n\n\n# \n\n### Who are we?\n\nWe’ve been friends and working together for over a decade - starting with a middle school robotics team in Pransu’s garage in Cupertino. We are advised by Dr. Ayoosh Pareek (Orthopedic Surgeon at Hospital for Special Surgery) and Dr. Laurel Mines (PT, DPT, Owner of Bay Laurel Athletics).\n\nSrinjoy was previously a Senior Engineer at Microsoft, where he led computer-vision projects on the HoloLens AR headset for healthcare companies. Pransu built medical billing software at Athelas (YC16), led an engineering team at Cockroach Labs, and brings research experience in telehealth privacy from UC Berkeley.\n\nWe reconnected after Srinjoy moved back to the Bay Area to take care of a family member with a critical medical condition. He spent most of last year in numerous PT appointments and grew frustrated with the broken system. We teamed up and started Shasta Health to improve the delivery of hybrid care for MSK conditions.\n\n# \n\n# **Asks**\n\n1. Do you have any muscle or joint pain? Sign up for an 1:1 or group session with an expert PT to try out the experience for yourself (no referral required). We’ve run several successful group sessions with YC founders already. [Sign up here](https://beta.shasta.health/patient/onboarding)\n2. Do you have any contacts at health systems / hospitals / payers? We would appreciate any intros as we try to scale up our patient acquisition channels (email [founders@shasta.health](mailto:founders@shasta.health))\n3. Do you know any physical therapists that are interested in contract positions or going independent? We would love to talk to them as we scale our provider network", "url": "https://www.ycombinator.com/launches/JBm-shasta-health-hybrid-care-for-muscle-and-joint-pain", "votes": 61, "created_at": "2023-08-03T16:34:42.031Z" } ] }, { "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": 28869, "name": "Health Harbor", "slug": "health-harbor", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/707952491ce6520207a9fc042912ea6190fc34a5.png", "website": "https://healthharbor.co/", "all_locations": "San Francisco, CA, USA", "long_description": "We use generative AI to call insurance on behalf of healthcare clinics. We save clinics up to 40 hours of calls every week over existing outsourced human solutions. \r\n\r\nCompared to the existing solutions for benefits verifications: \r\n- We're faster -- by default, we have a turnaround of 24 hours compared to typically a 3 day turnaround for competitors\r\n- We can reach more payors -- as long as they have a phone line, we can support calling them for benefits. There's quite a few payors in both medical and dental (e.g. Seledent) that have yet to offer a digital retrieval of benefits\r\n- We're reliable and consistent -- there is no person-to-person variation or question skipping when it comes to working with software\r\n", "one_liner": "Using generative AI to call insurance for healthcare clinics", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1689790147, "tags": [ "SaaS", "B2B", "Healthcare IT", "Billing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "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/health-harbor", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/health-harbor.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/health-harbor", "x_url": "https://twitter.com/healthharbor_us", "fb_url": "https://www.facebook.com/profile.php?id=100095138463726", "cb_url": "https://www.crunchbase.com/organization/health-harbor", "github_url": "https://github.com/Health-Harbor", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/707952491ce6520207a9fc042912ea6190fc34a5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/40a121bafc0e5a167f94bf0b024b94c3c290bf7b.png" ], "primary_partner": null, "founders": [ { "user_id": 437540, "full_name": "Alan Liu", "title": "Founder/CEO", "founder_bio": "Alan is the CEO and co-founder of Health Harbor. As a technical CEO, He has five years of previous software experience in AI at Meta and Nuro. While building a hearing aid for himself at Yale, his experiences with medical insurance shaped his conviction to improve the billing process for doctors and patients. Outside of Health Harbor, Alan is an aspiring sushi chef. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alanliu96", "x_url": "https://twitter.com/AlanLiu96", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cec51b2fd22ea307b50a347e18c115a3842f48a0.jpg" } ], "jobs": [ { "id": 72444, "title": "Founding Engineer . ", "url": "https://www.ycombinator.com/companies/health-harbor/jobs/n3sggls-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$100K - $170K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Google Cloud", "Python" ] } ], "news": [], "launches": [ { "id": 73410, "title": "Health Harbor - Automated billing for private medical practices", "tagline": "Never call insurance again.", "body": "### **Hey everyone! We are Nathan, Alan, and Gloria from Health Harbor.**\n\n**TL;DR:** Private practices spend hours every week talking with insurance trying to determine fee coverage so patients don't end up with a surprise bill. Health Harbor uses AI to automate billing for private practices by having an AI call insurance on their behalf. Check us out: [https://healthharbor.co](https://healthharbor.co/)\n\n![uploaded image](/media/?type=post&id=73410&key=user_uploads/1322783/392081ad-49f0-4086-a585-4d1df7292820)\n\n### **The Problem**\n\nImagine spending almost 100 million hours on the phone with medical insurance. Trust us, medical providers can. Over 230,000 private practices in the US spend more than 8 hours every week sitting on the line with insurance trying to determine the amount insurance will cover.\n\n### **The Solution**\n\nHealth Harbor relieves doctors’ offices from needing to call insurance. Instead they can simply submit requests through Health Harbor’s HIPAA certified portal.\n\n![uploaded image](/media/?type=post&id=73410&key=user_uploads/1322783/81fa57fd-de79-4030-9fe3-8e8d20fa99ee)\n\nFurthermore, by enabling admin to quickly request coverage on specific procedure codes, Health Harbor allows physicians to perform more procedures in fewer visits thus compressing revenue cycles from 4 weeks to 1 week.\n\n### **The Team**\n\nWe are Nathan, Alan and Gloria. Nathan comes from an early stage startup, Liminal Sciences, that went public with Hyperfine four years after its inception where he aligned the team on product strategy and built the product as a designer and software engineer. In Alan’s past life, he wrote software for AI systems like speaker identification at Meta’s Portal and prediction of occluded objects at Nuro. As for Gloria, she planned multi-year growth trajectories while at Bain and the Gates Foundation. \n\n### **The Ask**\n\n1. Customer Intros: Please reach out to us at [founders@healthharbor.co](mailto:founders@healthharbor.co)\n * If you currently call health insurance,\n * If you personally know anyone who complains about calling insurance (including dentists and any other private practice physicians),\n * If you know anyone in private equity firms that manage private practices.\n2. Follow us on [LinkedIn](https://www.linkedin.com/company/health-harbor/)", "url": "https://www.ycombinator.com/launches/J62-health-harbor-automated-billing-for-private-medical-practices", "votes": 29, "created_at": "2023-07-26T15:36:05.000Z" } ] }, { "id": 28880, "name": "FleetWorks", "slug": "fleetworks", "former_names": [ "FleetWorks", "Aproxy.AI", "Aproxy" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/09046cf3a124fcba9a014250e15826670a9a3e1b.png", "website": "https://fleetworks.ai", "all_locations": "San Francisco, CA, USA", "long_description": "FleetWorks is rebuilding the $1 trillion freight marketplace with AI.\r\n\r\nEvery year, companies spend over a trillion dollars moving freight across the U.S. — but the system for matching trucks with jobs is still slow, manual, and fragmented.\r\n\r\nFleetWorks is fixing that. We’re turning today’s chaotic freight market into a modern, intelligent marketplace — one where AI agents replace the endless phone calls, texts and emails and match jobs to trucks instantly.", "one_liner": "AI enabled marketplace matching trucks with jobs", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1692114463, "tags": [ "Logistics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "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/fleetworks", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/fleetworks.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/94275825/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/09046cf3a124fcba9a014250e15826670a9a3e1b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 396582, "full_name": "Paul Singer", "title": "Founder", "founder_bio": "Automating the manual parts of logistics management. Previously PM at Uber Freight where I led the tech teams managing carrier quality.", "is_active": true, "linkedin_url": "https://linkedin.com/in/paul-singer", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a69192274c0adadb867ed27a6805112442b56435.jpg" }, { "user_id": 1231698, "full_name": "Quang Tran", "title": "Founder", "founder_bio": "Prior to FleetWorks, worked on moonshot projects at Airbnb. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/quangtran20", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/05c543fee95d7ab26c9fc5c479979d71f974e87b.jpg" } ], "jobs": [ { "id": 85433, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/fleetworks/jobs/weAW1WX-senior-software-engineer", "location": "San Francisco, CA, US / Chicago, IL, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $240K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Python", "TypeScript" ] }, { "id": 92653, "title": "Senior Product Engineer ", "url": "https://www.ycombinator.com/companies/fleetworks/jobs/DIAcWBE-senior-product-engineer", "location": "San Francisco / Chicago", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $240K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106208, "title": "Product Manager ", "url": "https://www.ycombinator.com/companies/fleetworks/jobs/Blgdq10-product-manager", "location": "San Francisco", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$160K - $200K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106209, "title": "Senior Backend Software Engineer ", "url": "https://www.ycombinator.com/companies/fleetworks/jobs/hLXKyvN-senior-backend-software-engineer", "location": "Chicago / San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106210, "title": "Senior Product Manager ", "url": "https://www.ycombinator.com/companies/fleetworks/jobs/bBwSR4j-senior-product-manager", "location": "San Francisco", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$160K - $200K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "FleetWorks raises $17M to match truckers with cargo faster | TechCrunch", "url": "https://techcrunch.com/2025/10/14/fleetworks-raises-17m-to-match-truckers-with-cargo-faster/", "date": "Oct 14, 2025" }, { "title": "Twilio Announces the Honorees of the 2024 AI Startup Searchlight Awards | Twilio", "url": "https://www.twilio.com/en-us/press/releases/AI-Startup", "date": "Jan 29, 2024" }, { "title": "5 neat AI startups from Y Combinator's Summer 2023 batch | TechCrunch", "url": "https://techcrunch-com.cdn.ampproject.org/c/s/techcrunch.com/2023/09/06/5-neat-ai-startups-from-y-combinators-winter-2023-batch/amp/", "date": "Sep 06, 2023" } ], "launches": [ { "id": 74121, "title": "FleetWorks - Automating manual freight brokerage operations", "tagline": "We automate the 1B+ phone calls and emails that keep freight moving", "body": "**TL;DR:** \n\nFleetWorks helps freight operators focus on high-value work by automating routine calls and emails. Our AI-powered platform can leverage email or use a human-like voice to make tracking calls, cover loads, and reschedule appointments.\n\nHi everyone, we are Paul and Quang - we’re on a mission to help freight brokers and forwarders become more efficient\n\n![uploaded image](/media/?type=post&id=74121&key=user_uploads/396582/2100c87b-c4eb-4d6c-a5a6-d3ac56e6338a)\n\n### **❌ The Problem:**\n\nGetting freight from point A to point B is still largely handled by humans. Digitized brokers have driven automation, but most day-to-day operations are still handled over phone and email between millions of humans around the world. Given this overhead, freight brokerages operate on low single-digit margins.\n\nThree roles in a freight brokerage spend a significant part of their day on repetitive tasks:\n\n1. **Track and trace agents** → Identify loads that are not being tracked automatically via apps, telematics, or aggregators. They reach out via phone or email to the driver or dispatcher for an update.\n2. **Load coverage and carrier sales** → Handle inbound/outbound calls to/from trucking companies that are interested to book loads. Information like weight, commodity, and appointment time is shared. Then the parties negotiate on price.\n3. **Appointment schedulers** → Set appointment times for unscheduled loads by calling or emailing facilities, or logging into customer portals. Due to unforeseen issues, 20-30% of appointments need to be rescheduled at the last minute resulting in even more work.\n\nTo illustrate this from a trucking company point of view, below is a short video that shows a dispatcher calling various brokers:\n\n\n\n### **✨ Our Solution:**\n\nFleetWorks sits alongside a broker’s phone, email, and transportation management system (TMS). Calls and emails can be triggered automatically or manually, and relevant information is automatically pushed to the TMS or email for operators to take action.\n\nFleetWorks can automatically \n\n1. **Book loads**: Share load details, discuss price, and book the carrier.\n2. **Track loads**: Call the driver and update the account team on issues.\n3. **Schedule appointments**: Email or call facilities that don’t have a booking portal.\n\n### **💲 The Opportunity:**\n\nThere are 150 large brokers in the U.S. (>$100M gross revenue) and they are taking share from small brokers. These brokers alone spend $11B on operational headcount and 70% of headcount is involved in repetitive work.\n\nThese operators conduct 1 billion phone calls per year to manage load execution. Today, these calls cost $5-15 depending on complexity. At a rate of $1 per successful call (10x cheaper than the status quo), we believe our near-term market opportunity is $1B.\n\nGiven the $11B of spend on operational headcount, FleetWorks provides significant margin expansion for our customers. \n\n### **🙏 Our ask:**\n\nIf you or anyone you know works in freight transportation, drop us a note at [founders@fleetworks.ai](mailto:founders@fleetworks.ai). We’d love to learn more about the operation!", "url": "https://www.ycombinator.com/launches/JHV-fleetworks-automating-manual-freight-brokerage-operations", "votes": 327, "created_at": "2023-08-15T17:50:22.695Z" } ] }, { "id": 28881, "name": "Chow Central Inc", "slug": "chow-central-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b180100ca46fba5b88d5f7f8c9ef48ce2f462433.png", "website": "https://chowcentral.com", "all_locations": "Lagos, LA, Nigeria", "long_description": "Chow Central is building technology to disrupt the food industry in Nigeria. The goal is to profitably provide food to as many people as possible in record time. \r\n\r\nChow Central has launched its first product \"500chow\". A delivery-only quick service restaurant that serves customers in record time. 500chow has 10x lower costs than traditional brick-and-mortar restaurants, and 10x more online orders. \r\n\r\nOur customers love us for our super fast and cheaper deliveries. We are able to do this by launching hyper-locally within a 3km radius.\r\n\r\nWe are very focused on solving real problems in the food industry one scalable product at a time.", "one_liner": "Asset Light Chipotle for Africa", "team_size": null, "industry": "Consumer", "subindustry": "Consumer -> Food and Beverage", "launched_at": 1690480530, "tags": [ "Consumer", "Restaurant Tech", "Food", "Food & Beverage" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Consumer", "Food and Beverage" ], "regions": [ "Nigeria", "Africa", "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/chow-central-inc", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/chow-central-inc.json", "year_founded": 2022, "city": "Lagos", "country": "NG", "linkedin_url": "https://www.linkedin.com/company/chowcentral", "x_url": "https://twitter.com/500chow", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b180100ca46fba5b88d5f7f8c9ef48ce2f462433.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 902934, "full_name": "Tosin Onafuye", "title": "Founder", "founder_bio": "Building tomorrow today.", "is_active": true, "linkedin_url": "https://linkedin.com/in/tosin-onafuye-241441117", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/28a1fcd7e3444d582622df52e387f87b01a2f3af.jpg" }, { "user_id": 729074, "full_name": "Christopher Obasi", "title": "Founder", "founder_bio": "Building the future today", "is_active": true, "linkedin_url": "https://linkedin.com/in/christopherobasi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e239f72e94141225485d0fdc93753ac0a763732d.jpg" }, { "user_id": 974857, "full_name": "Adeyemi Onafuye", "title": "Founder", "founder_bio": "Chief Product Officer at Chow Central. I have 8 years of experience in technology and management consulting. I have worked extensively in the tech startup ecosystem in Nigeria. I am a member of the World Economic Forum’s Global Shapers Community.\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/adeyemi-onafuye-6b620666", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/27080340b31a4ecdea8ed755be464938b3c14301.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73617, "title": "Chow Central, virtual restaurant chains in African cities", "tagline": "Meet Chow Central, building Chipotle of Africa!", "body": "Hi YC 👋🏾, we’re Tosin, Christopher, and Adeyemi operating from Lagos, Nigeria.\n\nChow Central is building restaurant chains for Millennials and Gen Z living in African cities who want high-quality and healthy meals. Think of us as Chipotle for African meals. \n\nChow Central started as a fun experiment shortly after we graduated from University.  We created a virtual restaurant page on Twitter to sell affordable meals and also help underutilized restaurants get sales during the Covid lockdown.\n\nWe relaunched 18 months ago, currently active in just one region and we are doing over $80,000 in monthly revenue.\n\nWe have modified our approach, we operate a central kitchen to improve quality and maintain consistency. We then partner with highly-vetted underutilized commercial kitchens to serve as our fulfillment centers. \n\nOur customers love our delicious recipes and our faster & cheaper deliveries. Our approach of leveraging underutilized kitchens allows us to initially launch in a location with minimal capital investment.\n\n![uploaded image](/media/?type=post&id=73617&key=user_uploads/902934/4b087e33-4f96-45e7-adf8-2811c6cd3e8b)\n\n\\\nWe operate two restaurant brands:\n\nFirstly, 500chow is a high-quality restaurant that serves delicious local African delicacies. Our second restaurant is a healthy grill, shawarma, and barbecue restaurant.\n\nMillennials and Gen Z in African cities who want to order meals online are still underserved. There are over 50 million of them, if we can serve 5 million of them once every month with an average spend of $8, this represents a $5B market opportunity. \\\n\\\nChris and Yemi previously built industry-leading products at Moniepoint. Tosin previously worked at Vendease (W21) a restaurant supply-chain company.\\\n\\\n**How can you help?** \n\n* Refer us to your friends visiting or living in Lagos, Nigeria\n* [Check out our newly released mobile application](https://chowcentral.onelink.me/bvtE/t8dfjd86) and give feedback on the user experience (Pro tip, set your location to Lekki Phase 1)\n\n Want to talk about food? Shoot us an email [founders@500chow.com](mailto:founders@500chow.com)", "url": "https://www.ycombinator.com/launches/J9N-chow-central-virtual-restaurant-chains-in-african-cities", "votes": 19, "created_at": "2023-07-31T20:28:54.555Z" } ] }, { "id": 28882, "name": "Repaint", "slug": "repaint", "former_names": [ "AutoEmber", "Repaint", "Vigilant" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a40c666dc622907d8af3f29f4b78c554dba156c9.png", "website": "https://repaint.com", "all_locations": "San Francisco, CA, USA", "long_description": "Repaint lets you build professional websites by chatting with AI. It interviews you, researches you online, and generates a custom websites. Then you can edit anything by asking the AI. Our vision is to merge traditional website builders with AI coding tools, creating a new way for anyone to make more advanced software.", "one_liner": "Build a website by chatting with AI", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1690825892, "tags": [ "SaaS", "Chatbot", "Design", "Web Development", "AI" ], "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/repaint", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/repaint.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/repaint-ai", "x_url": "https://x.com/RepaintHQ", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/autoember", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a40c666dc622907d8af3f29f4b78c554dba156c9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1045360, "full_name": "Ben Shumaker", "title": "Founder", "founder_bio": "Cofounder of Repaint. I used to be the Lead Game Designer for https://playthebazaar.com/ \nAnd before that, I was a competitive strategy gamer.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ben-shumaker-9b2620238/", "x_url": "https://twitter.com/BenShumaker_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0c44197f46f2dc63bf54ec0b9ab698a60fca9254.jpg" }, { "user_id": 1315306, "full_name": "Izak Fritz", "title": "Founder", "founder_bio": "founder of Repaint", "is_active": true, "linkedin_url": "https://linkedin.com/in/izak-fritz-3b8579120", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3bc98a4b2d6b965d3a9fce343742ba33c6405b24.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98979, "title": "Repaint: The AI Website Builder", "tagline": "Build a website by chatting with AI", "body": "We’re [Ben](https://www.linkedin.com/in/ben-shumaker-9b2620238/) and [Izak](https://www.linkedin.com/in/izak-fritz-3b8579120/), and we’re proud to introduce the new Repaint (S23).\n\nRepaint is the best AI tool for creating professional marketing websites. You chat with Repaint, plan the style and pages, and import your content. Then Repaint generates a custom website in minutes.\n\n**Demo:** \n\n**The Problem**\\\nAI coding tools are incredibly powerful now, but most people still make websites with Wix and Squarespace. Vibe coding tools like Lovable, Bolt, and Replit can generate a webpage from a prompt in a few minutes, but beyond that they’ve focused more on app building than marketing sites:\n\n* They generate single pages with generic content, leaving you to build the rest.\n* The visual style is hard to control, with few resources for inspiration.\n* They surface technical details like code, hosting providers, and github integrations.\n* They charge per edit, so finishing a large marketing site is expensive.\n\nThere’s no major AI tool focused on making polished websites for small businesses, entrepreneurs, and marketers. That’s what we’re building.\n\n**The Solution**\\\nRepaint is an AI website builder designed to get you to a finished site, not just a starting point.\n\n* **It starts by learning about you.** Repaint interviews you about your business, what pages you need, and what style you're going for. It can research your company online and import existing content.\n* **You control the style.** You can pick a theme, provide reference links, and upload inspiration images. Or, you can let Repaint design it for you.\n* **It generates a complete site.** Repaint makes full websites with your real information. And it can recreate the same pages from an existing website.\n* **You edit with chat.** Restyle the whole site, add pages, update info across every page, redesign sections.\n* **It writes real code.** So it can build things template-based builders can't like custom animations, interactive components, calculators, and complex forms.\n* **Flat monthly pricing.** No per-edit credits.\n\n![uploaded image](/media/?type=post&id=98979&key=user_uploads/1045360/65931443-8184-450c-876c-89dcaf327f5f)\n\nWe opened Repaint about a month ago, and we’ve had hundreds of people make sites for tons of different businesses including YC startups, bakeries, cycling coaches, and more.\n\n**Our Background**\\\nRepaint is actually our second website builder. During YC S23, we built a different website builder with a drag-and-drop interface inspired by Figma. Despite our best efforts, we never got it off the ground. The existing website builders were already heavily optimized, and the AI wave was rapidly making manual no-code tools obsolete.\n\nBut those years gave us deep expertise in web layout, editor UX, and what actually makes people give up on building a site. We think that's exactly what AI website building needs — not just better models, but a team that understands the challenges well enough to make it reliable.\n\n**Our Ask**\\\nIf you or someone you know needs a website, you can try it at [repaint.com](https://repaint.com)\n\n![uploaded image](/media/?type=post&id=98979&key=user_uploads/1045360/3fb2e2fb-d58e-41a9-89a1-c8afe08c8e21)\n\n", "url": "https://www.ycombinator.com/launches/PkR-repaint-the-ai-website-builder", "votes": 3, "created_at": "2026-03-21T14:06:43.659Z" }, { "id": 89065, "title": "Vigilant - Observability for modern software teams", "tagline": "Helping startups with application monitoring through logs, metrics, errors, and more.", "body": "![uploaded image](/media/?type=post&id=89065&key=user_uploads/1045360/2eaee34c-2e65-45e6-a296-d923eb287b1c)\n\n# **What is Vigilant?**\n\n[Vigilant](https://www.vigilant.run/) helps developers monitor their applications and fix issues without overwhelming complexity.\n\nWe provide a unified platform for log management, error tracking, metrics visualization, and smart alerting - everything needed for complete application visibility.\n\nWe obsess over the user experience end-to-end, from integration to alerting. It makes Vigilant a strong choice for startups looking to monitor their product without a massive investment in learning and integration.\n\n[You can try it yourself here](https://vigilant.run)\n\nㅤ\n\n# **Why Vigilant?**\n\nHowdy, I’m Ben Shumaker, the cofounder of Vigilant. I cofounded Vigilant with my best friend, Izak Fritz. Our goal is to make observability easier.\n\nAfter experiencing the frustrations of juggling multiple observability tools at Robinhood and using painfully clunky default options in our cloud providers, we grew tired of tools that seemed designed for experts. Most dedicated platforms assume you already have tons of specialized knowledge about what to monitor and how—but most developers don’t know.\n\nWe built Vigilant to be the first observability tool prioritizing simplicity, not just comprehensive features.\n\nㅤ\n\n# **The Problem**\n\nObservability platforms feel overwhelming, end-to-end:\n\n* Complex agent installation and configuration requirements\n* Huge variety of integration methods without clear guidance\n* Cluttered interfaces full of random information and endless configurations\n* Tedious manual queries for simple searches and graphs\n* Multi-variable pricing that's unpredictable and expensive\n\nㅤ\n\n# **Our Solution**\n\n![uploaded image](/media/?type=post&id=89065&key=user_uploads/1045360/86936056-dc52-4c4e-8178-7f518ea9c0ad)\n\nVigilant is the opposite of a traditional observability tool:\n\n* SDK-based integration that only requires a few lines of application code\n* Auto-capture so you can send logs and errors without changing every file\n* Smart defaults that minimize setup time\n* Focused interface that surfaces relevant info, and nests complexity\n* Genuinely predictable pricing with a simple equation\n\nㅤ\n\n# **How It Works**\n\n![uploaded image](/media/?type=post&id=89065&key=user_uploads/1045360/fbb74c68-1c6a-4611-9ec7-5fa85719d2ce)\n\n1. **Installation** – Download our SDK for your tech stack\n2. **Integration** – Add a few lines to start sending logs, errors, or metrics\n3. **Manage in Vigilant** – After you've sent data, you view it and search it in Vigilant\n4. **Build Dashboards** – Create graphs and counters to visualize your data\n5. **Get Notifications** – Use integrations to get alerts when issues occur\n\nㅤ\n\n## **Ready to Simplify Your Observability?**\n\nYou can try Vigilant entirely on our free tier. If you're tired of complex monitoring tools and want something you'll enjoy:\n\n* Get started: \n* Book a call: \n* Email us: [founders@vigilant.run](mailto:founders@vigilant.run)\n\nAlready using a platform? We'll manually help you migrate and setup your observability in Vigilant. [Book a call to explore your options.](https://calendly.com/ben-rep/vigilant-intro)", "url": "https://www.ycombinator.com/launches/NAX-vigilant-observability-for-modern-software-teams", "votes": 6, "created_at": "2025-03-28T14:15:06.574Z" }, { "id": 73608, "title": "AutoEmber - A visual design tool for making real websites", "tagline": "Instead of making mockups, just make the real thing!", "body": "Hi everyone. We’re Ben and Izak, cofounders of [AutoEmber](https://autoember.com/).\n\n![uploaded image](/media/?type=post&id=73608&key=user_uploads/1045360/88bf4baa-cd9a-451d-8fe7-8af58389c929)\n\n_(Left to Right)_\n\nBen: Former competitive gamer. Was on the MTG Pro Tour at 14. Rank 1 Hearthstone Battlegrounds. Lived with Reynad (CEO and Twitch streamer) and spent 2 years as lead game designer at TempoStorm. \n\nIzak: Built a crypto trading platform at Cove Markets, acquired by Robinhood in 2021. Previously, JP Morgan software engineer. Computer science at the University of Michigan.\n\nWe met over a decade ago playing Magic the Gathering in Holland, Michigan.\n\n### **😓 The Problem:**\n\nMaking websites is hard. To make a website today, you either:\n\n1. Learn html, css, and javascript –> Months of learning, hours of coding to make minor changes\n2. Use a template website builder –> Can’t customize, get a generic website\n\nMeanwhile, there’s thousands of designers who can make pixel-perfect mockups, but then they have to pass it off to a coder who can actually build it.\n\n### **💫The Solution:**\n\n[AutoEmber](https://autoember.com) - a visual design tool that makes real websites\n\n![uploaded image](/media/?type=post&id=73608&key=user_uploads/1045360/6d4a6b5f-aab5-4949-ac45-737d003cb4c7)\n\nWe spent the last couple months building a web app that lets anyone make a custom website, end to end, without coding. The user experience:\n\n1. Make an account\n2. Design your website in the editor\n3. Push “Publish”\n\nToday, you could make a good looking website with a few pages in a couple hours. We’re constantly adding features to make it more 🥧 easy, 💪 powerful, and 💅 pretty\n\n### **Who its for:**\n\nYou’ll find it especially useful if you’re: \n\n* A designer who uses tools like Figma\n* A backend dev who doesn’t like frontend\n* A business owner who wants a custom website without coding\n\nBut anyone making a website should check it out.\n\n### **How you can help**\n\nGive it a try! It’s free. We love feedback. [AutoEmber.com](http://AutoEmber.com)\n\nIf you’re in the market for a website, please reach out! We’d be happy to help you design your website. Contact: [ben@autoember.com](mailto:ben@autoember.com) 👋\n\nThanks, Ben and Izak", "url": "https://www.ycombinator.com/launches/J9E-autoember-a-visual-design-tool-for-making-real-websites", "votes": 36, "created_at": "2023-07-31T18:05:29.431Z" } ] }, { "id": 28883, "name": "Margin", "slug": "margin", "former_names": [ "Transformity" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/87b560e31073922b9212a3b9849ef30b5e5dc6e4.png", "website": "https://usemargin.com/", "all_locations": "New York City, NY, USA", "long_description": "Margin is empowering beer, wine & liquor stores with amazing technology. We bring enterprise-level sophistication to liquor retailers, giving them one integrated operating system for every part of their business. We increase profits for liquor stores who have been underserved by technology.", "one_liner": "POS & operating system that makes liquor stores more money", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Retail", "launched_at": 1690953624, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Retail" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/margin", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/margin.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/marginpos", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/87b560e31073922b9212a3b9849ef30b5e5dc6e4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 992509, "full_name": "Param Bidja", "title": "Founder", "founder_bio": "Co-founder and CEO @ Transformity. Previously senior engineer at AWS. Love my parents so much that I'm building a company for them :)", "is_active": true, "linkedin_url": "https://linkedin.com/in/parambidja", "x_url": "https://twitter.com/param_bidja", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb273322b84cdbd96f5c4b2937fdbba02a2e471e.jpg" }, { "user_id": 999436, "full_name": "Jay Patel", "title": "Founder", "founder_bio": "Co-Founder and CTO @ Transformity. Ex-Software Engineer at Amazon. Owner of multiple retail businesses. Active GitHub Contributor.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/patel-jay/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/58334d9c489a6e03b0b786bf52243ebc03c626b2.jpg" } ], "jobs": [ { "id": 66799, "title": "Software Engineer II", "url": "https://www.ycombinator.com/companies/margin/jobs/TBZpYfY-software-engineer-ii", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $220K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Java", "PostgreSQL", "React", "TypeScript" ] }, { "id": 116476, "title": "Software Engineer (new grad)", "url": "https://www.ycombinator.com/companies/margin/jobs/cT2azkX-software-engineer-new-grad", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $180K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Go", "Kotlin", "PostgreSQL", "React", "React Native" ] } ], "news": [], "launches": [ { "id": 73720, "title": "🍷 Transformity - Modern point-of-sale for liquor stores", "tagline": "Helping liquor stores save time and grow their business.", "body": "### Problem\n\nLiquor stores run inefficiently. Operators rely on paper and phone interactions with suppliers, do not accurately maintain inventory and prices, miss valuable discount periods, struggle to monitor regulatory changes, and do not capitalize on new revenue streams. \n\n### Solution\n\nTransformity is a point-of-sale system purpose-built for liquor stores that integrates with their suppliers, automates manual work, and opens new sources of revenue. Transformity provides:\n\n1. **Supplier integration**: Provides a digitized catalog from liquor wholesalers, including all available products, pricing & discounts.\n2. **Purchasing decisions**: Generates purchase orders that optimize inventory based on pricing and sales.\n3. **Automatic inventory tracking**: Receives digital invoices to seamlessly maintain inventory and prices.\n4. **Regulatory monitoring**: Automatically tracks monthly changes to liquor regulatory requirements.\n5. **Additional revenue streams**: Integrates with delivery and e-commerce platforms.\n\n### Customer response\n\n> _“Transformity is exactly what we needed. A system built by liquor store owners for liquor stores.”_ - Rason Bell, Little Rooster Liquors\n\n![uploaded image](/media/?type=post&id=73720&key=user_uploads/992509/dedbfa6c-14d5-4e24-a281-bb015ded6a9b)\n\n_Our first user in action!_\n\n### Team\n\nJay and Param both come from families who have owned liquor stores across 3 states for over 20 years. They grew up working at their parents’ stores. They’ve been close friends since college and worked as engineers @ Amazon.\n\n### Our request\n\nIf you know anyone in the liquor industry, we’d love to chat! Even connecting us to your favorite liquor store would help. Please reach out at [param@transformity.tech](mailto:param@transformity.tech).", "url": "https://www.ycombinator.com/launches/JB2-transformity-modern-point-of-sale-for-liquor-stores", "votes": 26, "created_at": "2023-08-02T17:28:46.474Z" } ] }, { "id": 28884, "name": "Dialtone", "slug": "dialtone", "former_names": [ "Samtana", "Anneal", "Dialtone", "Big Smart AI", "Dialtone", "Rocketeer" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb288b88bae803d541f0be9e263462de15c64e9a.png", "website": "https://usedialtone.com", "all_locations": "San Francisco, CA, USA", "long_description": "Connect agentic workflows to all your existing software and data. 100+ first party data, action, and event connectors for the tools and services you already use. Easily configurable custom connectors for your enterprise’s proprietary systems, enterprise grade security, and dedicated infrastructure.", "one_liner": "AI Agents for Enterprises", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1688669019, "tags": [ "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/dialtone", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/dialtone.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bigsmartai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb288b88bae803d541f0be9e263462de15c64e9a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 773660, "full_name": "Akash Kashyap", "title": "Founder", "founder_bio": "Akash brings over a decade of experience in the technology industry to make Rocketeer best-in-class for GTM teams. Previously Akash was CEO of Tandem (YC S19) where he drove GTM + monetization. Before that, Akash was an engineer at AWS and Google. At AWS he launched Aurora (the fastest growing service in AWS history) and at Google he launched Stadia.", "is_active": true, "linkedin_url": "https://linkedin.com/in/akashya", "x_url": "https://twitter.com/akashkashyap_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1788f423df1169bdbcd37b9e8628346f6842ed50.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28885, "name": "Hiro", "slug": "hiro", "former_names": [ "Santiago Labs, Inc.", "Telophase" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d1d128fbe59c627f74405a0637c6a9692cc736f0.png", "website": "https://hirosecure.com", "all_locations": "New York City, NY, USA", "long_description": "", "one_liner": "Agents that handle security work", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1684532337, "tags": [ "Developer Tools", "B2B", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Security" ], "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/hiro", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/hiro.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d1d128fbe59c627f74405a0637c6a9692cc736f0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 877309, "full_name": "Ethan Blackburn", "title": "Founder", "founder_bio": "Excited about developer tools/infrastructure and AI. Always down for a hike :)", "is_active": true, "linkedin_url": "https://linkedin.com/in/ethanblackburn", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d8883a267597442937c262b19c84eac21b547f26.jpg" }, { "user_id": 945403, "full_name": "Daniel Schofield", "title": "Founder", "founder_bio": " ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daniel-sss/", "x_url": "https://twitter.com/thedschofie", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/22c8818c4887068601bc4d22ac33f5ab5d462f09.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28886, "name": "Cardinal Gray", "slug": "cardinal-gray", "former_names": [ "Cardinal Gray Incorporated" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd23108e8186366e29a1827c228ceddd75097d20.png", "website": "https://www.cardinalgray.com/", "all_locations": "New York City, NY, USA", "long_description": "When a lender gives out a car loan, they need to file a lien with their borrower’s DMV. This is difficult because the process varies by state and county. We’ve leveraged LLMs to help lenders automate lien filings for over $1B of loans.", "one_liner": "Automating lenders' interactions with the DMV", "team_size": 6, "industry": "Fintech", "subindustry": "Fintech -> Credit and Lending", "launched_at": 1687970738, "tags": [ "Enterprise Software", "Consumer Finance", "Automation", "AI", "Automotive" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Fintech", "Credit and Lending" ], "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/cardinal-gray", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cardinal-gray.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cardinal-gray/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd23108e8186366e29a1827c228ceddd75097d20.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1136419, "full_name": "Jack Chapman", "title": "Founder", "founder_bio": "CEO @ Cardinal Gray", "is_active": true, "linkedin_url": "https://linkedin.com/in/jack-chapman-2b7b75153", "x_url": "https://x.com/chapolantern", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/87582e783c75d6f4de9e3bdb90d15c0513018c2c.jpg" }, { "user_id": 1479733, "full_name": "Muhammad Khattak", "title": "Founder", "founder_bio": "Cofounder @ CG | Prev. R&D Engineer at Veridise, Stanford Philosophy", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/muhammad-khattak-b87a73156/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/40007bd00d02fef789ad9f4d0ec2f62aa7b70f29.jpg" }, { "user_id": 1163950, "full_name": "Grant Pease", "title": "Founder", "founder_bio": "Cofounder @ Cardinal Gray\n", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/grantpease1017brr", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/37a1e83754a66d84681c97389898e76cc1e2d256.jpg" } ], "jobs": [ { "id": 82553, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/cardinal-gray/jobs/AcQcqtv-founding-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $160K", "equity_range": "0.50% - 2.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "HTML", "JavaScript", "React", "TypeScript", "Software Architecture", "Prompt Engineering" ] } ], "news": [], "launches": [ { "id": 74164, "title": "Cardinal Gray - Helping auto lenders instantly send title data to DMVs", "tagline": "Auto lenders spend 30M hours a year sending title documents to 50 different state DMVs. Cardinal Gray automates this.", "body": "### **Our Team**\n\n![uploaded image](/media/?type=post&id=74164&key=user_uploads/1136419/54416cc8-471b-4684-855a-0b4cd7f37fe0)\n\nHey! We’re Grant, Muhammad, and Jack. We’re building titling tools for auto lenders. For example, when a loan gets paid off, we instantly release the lien placed on the car.\n\nBefore we jump into it, you might be wondering: what is a lien? A lien is a legal claim auto lenders file with the DMV to establish their legal claim over a borrower's car and secure the loan payments, but managing this collateral with the DMV is a headache for lenders.\n\n### **The Problem**\n\nAuto lenders spend 30 million hours a year sending title documents to 50 different state DMVs. At Cardinal Gray, we’re automating this.\n\nTitle work is time intensive because lenders’ systems are not connected to DMV systems. Lenders spend >$2 Billion each year on employee labor to manually aggregate and forward the relevant data and documents to state governments.\n\nFor lenders, a slow lien filing process can lead to billions of dollars in unsecured loans. A slow lien release process creates tension with dealerships and customers because car ownership can’t be transferred until a lien gets released.\n\nOn top of this, manual processes lead to errors. At any given time, 20% of lien filings are inaccurate.\n\n### **Our Product**\n\nWe fix this by interfacing with lender and DMV databases. Our software monitors a lender’s loan data, and when a loan gets created or paid off, we ping the appropriate DMV to file or release the lien. When a DMV creates or edits data, we reference this change with the bank and resolve discrepancies before they cause issues.\n\n### **How We Found This**\n\nA year ago, we were trying to create a decentralized marketplace for car loans. We actually applied to YC’s W23 batch with this idea, and we were told that it was too complex and that it was unclear why it required blockchain. They were right. We were boiling the ocean.\n\nAs we continued investigating auto lending, we discovered dealerships originate roughly 80% of all auto loans, and lenders automate credit decisions and funding at the same rate. We realized that a major bottleneck to automated car financing was manual title work, so we did a deep dive into DMV systems. As it turns out, this work can also be automated.\n\n### **Our Ask**\n\n* **Are you in auto lending?** We’d love to meet. Shoot us an email at [founders@cardinalgray.com](mailto:founders@cardinalgray.com)\n* **Do you know anyone in auto lending?** We’d love to be introduced. We have a strong pipeline, but the more the merrier.\n\n🧯 get in touch / [cardinalgray.com](http://cardinalgray.com) / [founders@cardinalgray.com](mailto:founders@cardinalgray.com)", "url": "https://www.ycombinator.com/launches/JIC-cardinal-gray-helping-auto-lenders-instantly-send-title-data-to-dmvs", "votes": 48, "created_at": "2023-08-16T18:28:21.150Z" } ] }, { "id": 28887, "name": "Skyvern", "slug": "skyvern", "former_names": [ "Wyvern AI (Previously Ikonomos)", "Wyvern AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/87d977bf0d4b7032c71830901e118beb0ca9946c.png", "website": "https://www.skyvern.com/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Skyvern helps companies automate browser based workflows using LLMs and Computer Vision, fully automating manual workflows and replacing brittle or unreliable scripts.\r\n\r\nExamples include:\r\n1. Automating materials procurement from commerce websites\r\n2. Completing complex multi-step workflows (ie getting an insurance quote from Geico.com)\r\n3. Automatically logging into portals and downloading invoices\r\n4. Navigating legacy content systems to do data extraction or data entry", "one_liner": "Open Source AI Agent to automate browser workflows via an API", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1687648021, "tags": [ "Robotic Process Automation", "Workflow Automation", "Open Source", "API", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/skyvern", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/skyvern.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/95726232", "x_url": "https://x.com/skyvernai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/87d977bf0d4b7032c71830901e118beb0ca9946c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1120458, "full_name": "Suchintan Singh", "title": "Founder", "founder_bio": "I'm the founder of Skyvern. We help companies automate complex workflows using AI agents and computer vision.\n\nIn the past, I've built the ML Platforms at both Faire and Gopuff, which generated over $100M of GMV across their two businesses, \n\nI also love bad jokes and puns, so if you have any or are in the need of any feel free to hit me up!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/suchintansingh/", "x_url": "https://x.com/suchintan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e6e042c66b8d37bbdbefedec94f3d36e11cbdfda.jpg" }, { "user_id": 1157498, "full_name": "Shuchang Zheng", "title": "Founder", "founder_bio": "I am the CTO and cofounder of Skyvern. For the past 5 years, I've been building developer and platform tools.\n\nAt Lyft, I built testing tools (simulation platform, load test framework, and end to end test framework) used by 1000+ engineers to boost dev productivity, ensure Lyft doesn't go down during peak events, and reduce infra cost.\n\nAt Patreon, I helped scale the payment and db infra to process 20M+ transactions per month and free 100+ engineers from the 3-day monthly code freeze ", "is_active": true, "linkedin_url": "https://linkedin.com/in/shuchang-zheng-76784958", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff5b3572753bb2ab538c8c114dbd6cad084790f6.jpg" } ], "jobs": [ { "id": 76074, "title": "AI Agent Builder / Workflow Wizard", "url": "https://www.ycombinator.com/companies/skyvern/jobs/YFDIaHd-ai-agent-builder-workflow-wizard", "location": "CA / Remote (CA)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$60K - $85K CAD", "equity_range": "0.05% - 0.10%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 95748, "title": "Founding SDR, AI-Powered Outbound", "url": "https://www.ycombinator.com/companies/skyvern/jobs/3P7vhT3-founding-sdr-ai-powered-outbound", "location": "US / CA / Remote (US; CA)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $75K", "equity_range": "0.01% - 0.10%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 95749, "title": "Founding Account Executive - AI Infrastructure", "url": "https://www.ycombinator.com/companies/skyvern/jobs/9eucL4u-founding-account-executive-ai-infrastructure", "location": "US / CA / Remote (US; CA)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K - $300K", "equity_range": "0.10% - 0.20%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 95750, "title": "Founding Developer Marketing – Open Source AI", "url": "https://www.ycombinator.com/companies/skyvern/jobs/1qRTlVx-founding-developer-marketing-open-source-ai", "location": "US / CA / Remote (US; CA)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "0.10% - 0.30%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 105883, "title": "Rustwright: Rewrite of Playwright in rust that uses 70% less memory (and is 2.55x faster)", "tagline": "Remove the subprocess and save so much memory", "body": "Hey everyone, Suchintan from Skyvern (YC S23). We run browser automation for AI agents at scale, and we're launching [Rustwright](https://github.com/Skyvern-AI/rustwright): [Playwright on an in-process Rust CDP engine.](https://github.com/Skyvern-AI/rustwright) The engine consumes 70% less memory than Playwright, and is 2.55x faster to boot.\n\n**We built this to improve Skyvern’s memory footprint**, and thought this would be independently valuable to the broader community\n\nThe whole idea fits in two lines:\n\n```\nplaywright-python: your code ──pipe──► Node driver (separate process) ──CDP──► Chromium\nrustwright: your code ────────────────── raw CDP ─────────────────────► Chromium\n```\n\nRemoving the driver changes three things:\n\n1. **Less abstraction.** The driver subprocess and its pipe speaks CDP straight to Chromium. In our runs, the new engine is 2.55× and **consumes 70% less memory** than the equivalent playwright process\n2. **No Playwright driver fingerprint.** The driver never loads, so its signatures never appear: no `__playwright__binding__` globals, no `Runtime.enable` on the default path (the well-known console-serialization leak). The claim is deliberately narrow: no Playwright-specific automation fingerprint, not \"undetectable\"\n3. **A single rust core**: a single Rust core backs both language bindings (Python with sync and async; Typescript) with plans to expand to many popular languages (Ruby / Go / Java to name a few). Within the supported surface, migration is often a one-line import change — `from rustwright.sync_api import sync_playwright.`Clicks and typing go through real CDP input events, not synthetic DOM calls, and cross-origin iframes auto-attach with `frame_locator()` routing across origins.\n\n[playwright-python](https://github.com/microsoft/playwright-python) pipes every call through a bundled Node driver process. [Rustwright](https://github.com/Skyvern-AI/rustwright) drives Chromium over raw Chrome DevTools Protocol from a Rust core, an async CDP client on Tokio (WebSocket, plus opt-in Unix-pipe transport), exposed in-process through thin PyO3 bindings for Python and napi-rs bindings for Node.\n\nStatus: alpha, Chromium-only\n\n**Want to give it a try? Change one line of code!**\n\n```jsx\npip install rustwright\n\n- from playwright.sync_api import sync_playwright\n+ from rustwright.sync_api import sync_playwright\n```\n\n⭐ Give it a try here and let us know what you think: ", "url": "https://www.ycombinator.com/launches/RXn-rustwright-rewrite-of-playwright-in-rust-that-uses-70-less-memory-and-is-2-55x-faster", "votes": 8, "created_at": "2026-07-15T17:10:22.738Z" }, { "id": 94724, "title": "Skyvern: Asking AI to build scrapers should be easy right?", "tagline": "Let AI maintain those pesky scrapers", "body": "![uploaded image](/media/?type=post&id=94724&key=user_uploads/1120458/6473b24c-3925-48bf-80c8-00430f81e5ef)\n\n**TL;DR - We just gave Skyvern the ability to write and maintain its own code, making it 2.7x cheaper and 2.3x faster. Give it a prompt (or a series of prompts), and the AI will generate and maintain playwright code while it runs. Try out the via [Open Source](https://github.com/Skyvern-AI/Skyvern?ref=skyvern.com) or [Cloud](http://app.skyvern.com/?ref=skyvern.com)**\n\n💡 **Recap: What is Skyvern?** It’s [an open source tool](https://github.com/Skyvern-AI/Skyvern?ref=skyvern.com) that helps companies automate things in the browser with AI. We use computer vision + LLMs to turn prompts into automations that run. We serve both technical and non-technical customers, and have helped them automate things like applying to jobs, fetching invoices or utility bills, filling out government forms, and purchase products from hundreds of different websites.\n\n# **Asking AI to build scrapers should be easy right? Right??**\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132106.418.png)\n\nSome of you may remember our [Hackernews launch](https://news.ycombinator.com/item?id=39706004&ref=skyvern.com) from last year. All of the discussion circled around the same idea: “Building the automation is the hard part… we just want Skyvern to write the code”.\n\nWe agreed. Keeping the agent in the loop means invoking an expensive and non-deterministic LLM call on every run. If Skyvern could compile its reasoning into code and run that instead of keeping an LLM in the loop, automations would become **faster, cheaper, and more reliable.**\n\nSo we tried to teach Skyvern to do exactly that… but it turns out, asking AI to write code the same way you and I would wasn’t easy. We ran into two big problems:\n\n1. Requirements for automations are ambiguous at best, and misleading at worst — even humans struggle to define them clearly\n2. The internet is messy: drop-downs masquerade as textboxes, checkboxes that are always checked, and search bars that are secretly buttons.\n\nGetting an agent to navigate that chaos, understand intent, and still produce maintainable code came through one major breakthrough: **reasoning models**.\n\nReasoning models unlock two important capabilities:\n\n1. They [boosted the agent accuracy](https://www.skyvern.com/blog/web-bench-a-new-way-to-compare-ai-browser-agents/) enough for production use\n2. They let the agent leverage its trajectory to write a script resembling something an engineer would write\n\n# **This is too abstract. When does this matter?**\n\nBefore we dive into the solution, let’s look at a real-world example: Registering new companies for payroll with [Delaware.gov](http://Delaware.gov)\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132100.688.png)\n\nHere’s a simple prompt that reliably powers the workflow:\n\n> _Your goal is to fill out the EIN registration form. Fill out the form until you're at the form confirmation page with a summary of all information. Your goal is complete once you see a summary of all of the information._\n\nein_info: {{ein_info}}\n\nWriting deterministic code should be easy right?\n\nHere’s what a naive AI Generated implementation looks like:\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image-1.png)\n\nAnd here’s where it falls apart almost immediately.\n\n1. Coupled interactions. Choices on this form aren’t independent. Sometimes radio buttons are linked together, but aren’t represented as such in the DOM. Other times, different buttons trigger different follow-up questions, so a static script breaks as soon as you pick something unexpected.\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132055.697.png)\n\n**Random failures.** Government websites love to go down at night, change field layouts between sessions, or throw you a “try again later” page mid-run.\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132051.371.png)\n\n### **Coupled interactions**\n\nConsider the radio button example above. Any seasoned developer would know that these legal structures are linked together. You’d instinctively model them as a finite set of entity types, and create a tree-like script that branches into different paths based on the input.\n\nBut that abstraction doesn’t exist for an agent. To agents like Skyvern, this is just a list of buttons. The relationship between the users’ input and the available set of legal structures doesn’t exist ahead of time — it must be discovered at runtime.\n\nThe agent has to infer, from the DOM and the page transitions, which choices lead where.\n\n### **Random non-deterministic failures**\n\nAgents shine when things don’t go as planned. We don’t want to hard code every single edge case when compiling an agent into a deterministic script.. because we’re back to writing brittle scripts. Instead, we want to leverage agents for these situations.\n\nTake this government form: Delaware’s portal is unavailable at night or over the weekend. Or sometimes, it’ll require you to call the IRS or sending them a fax / mail to proceed with the form. You want some intelligence in the loop to handle these scenarios gracefully.\n\n# **So.. how can you codify this in an agent?**\n\nAfter a few runs like the ones above, we realized “have the agent write code” wasn’t enough. We needed to copy how developers actually work: figure out the flow, add logic where it breaks, and bake that behavior into Skyvern.\n\nSo we split its job into two:\n\n1. Explore mode, where the agent learns how to navigate a website for a given flow, generating any metadata necessary for it to operate in subsequent runs\n\nReplay mode, it compiles those learnings into deterministic Playwright and runs fast and cheap, only falling back to the agent when something new or weird happens\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132046.901.png)\n\n### **Explore once: get the agents’ trajectory**\n\nLet’s start with a plain prompt for Skyvern. The `ein_info` field is just a json blob with all of a company’s metadata (entity type, responsible party, etc). The goal of this explore run isn’t to finish fast, it’s to learn the flow and record a trajectory we can compile later.\n\n> _Go to [https://sa.www4.irs.gov/modiein/individual/index.jsp](https://sa.www4.irs.gov/modiein/individual/index.jsp)\\\n> and generate an SS4 with the following information: {{ ein_info }}_\n\n### **Step 1: generate a naive script**\n\nFrom that trajectory, the agent can spit out a basic Playwright script. It runs, but it’s brittle—no context, no fallbacks:\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image-2.png)\n\n**What’s missing:** it doesn’t know _why_ it’s clicking “Corporation,” what should appear next, or how to recover if the DOM shifts (or the portal is down). That’s the gap we close in the next section (intent metadata + deterministic replay with targeted fallbacks).\n\n### **Step 2: Ask the agent to write down its intention so we can re-use it later**\n\nExploration gives us a working script, but it’s brittle because it only knows _what_ to click, not _why_. The fix was to capture **intents** to every action so the run can recover when the page shifts.\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132041.611.png)\n\nTo get to this intention, we generate 2 additional parameters at runtime: `user_detail_query` and `user_detail_answer` to capture the **essence** of the action (beyond the interaction itself)\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image-3.png)\n\nThen, we pass it through another LLM call to reverse engineer the action into the following:\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image-4.png)\n\nIf this fails at replay time, we don’t blindly guess a new selector—we reuse the **intention** to recover:\n\n1. Try an alternate selector for the same intention (looser match, nearby label, aria text)\n2. If the flow changed, ask the model **once**: “How do I ‘Select legal structure: Corporation’ on this page?”\n3. If we hit a dead end (downtime/error), fallback to the original prompt to decide what to do next\n\nAt this point, we have generated code that looks like this:\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image-5.png)\n\n### **Step 3 - Run it on the cheap**\n\nNow that we have a plan and a fallback in place, subsequent runs are all using plain playwright — no LLM in the loop.\n\nWe benchmarked this across our customers and saw:\n\n* Average automation run time goes from 278.95s → 119.92s (2.3x faster)\n* Average run cost goes from $0.11 → $0.04 (2.7x cheaper)\n* And maybe more important than either: **runs are now deterministic.**\n\n![](https://www.skyvern.com/blog/content/images/2025/10/Screenshot-2025-10-16-at-14.18.17.png)\n\n![](https://www.skyvern.com/blog/content/images/2025/10/Screenshot-2025-10-16-at-14.18.07-1.png)\n\n# **How is this being used in the wild?**\n\nSkyvern’s “explore → replay” pattern is already running quietly inside a bunch of workflows that used to require brittle, human-maintained scripts. A few examples:\n\n1. **Invoice Downloading**\n\nAgents log into vendor or utility portals with 1000s of different accounts, navigate to the right billing period, and pull invoices. When layouts or date filters change, the intent metadata lets them recover automatically instead of failing.\n\n2. **Purchasing**\n\nTeams use it to automate repeat purchases — think renewing software licenses or buying supplies through the same vendor dashboard each month. The first run learns the checkout path, the fallbacks handle the variety of products, and the replays run deterministically, flagging if a price or SKU changes.\n\n3. **Data Extraction from Legacy Systems**\n\nSkyvern navigates authenticated dashboards, scrapes tables or PDFs, and pushes the structured output into into a database via Webhooks. If the DOM shifts, Skyvern reuses the same intention (“extract transaction rows”) to remap selectors.\n\n4. **Government Form Filling**\n\nFrom payroll registration to business license renewals, Skyvern handles long, multi-step government forms that occasionally break static scripts. Explore mode figures out the flow once replay mode repeats it safely.\n\n## **What’s next? Is it perfect today?**\n\nNot quite. The architecture works well, but there are still a few places where we can make it smarter and cheaper:\n\n1. **Analyze groups of runs when generating code**.\n\nRight now, we don’t aggregate insights across failures. Each replay fixes itself in isolation. If we could analyze _many_ runs together, spotting which selectors break, which flows diverge, we could automatically generalize better code and reduce the need for fallbacks. That’s especially useful for workflows that branch like trees (different inputs → different paths).\n\n2. **Cache data extractions**.\n\nDuring data extraction, we still rely on the LLM to “read” the page each time because many of our users want to both extract and summarize information at the same time. For example, if you ask Skyvern to pull the summaries of the top five posts on Hacker News, it currently parses the DOM from scratch. We’d like to trace _how_ the model found those elements (which selectors, which substrings) and reuse that mapping. That alone could make scraping and data-harvesting flows an order of magnitude cheaper.\n\n3. **Expose everything through the SDK.**\n\nWe think it will be valuable for developers using the Skyvern SDK to auto-generate these scripts for any ai actions / workflows they run, and use them automatically for subsequent runs. It currently requires a Skyvern server running, but soon it will be the default behaviour.\n\n## **Give it a try!**\n\nRun it via our [Skyvern Open Source](https://github.com/Skyvern-AI/Skyvern?ref=skyvern.com) or [Skyvern Cloud](http://app.skyvern.com/?ref=skyvern.com) versions and let us know what you think!", "url": "https://www.ycombinator.com/launches/Odo-skyvern-asking-ai-to-build-scrapers-should-be-easy-right", "votes": 12, "created_at": "2025-10-17T18:15:33.896Z" }, { "id": 90850, "title": "📊 Web Bench - A new way to compare AI Browser Agents", "tagline": "Expanding on the foundations of WebVoyager", "body": "**TL;DR:** [Web Bench](https://www.webbench.ai) is a new dataset to evaluate web browsing agents that consists of 5,750 tasks on 452 different websites, with [2,454 tasks being open sourced.](https://github.com/Halluminate/WebBench/tree/main) Anthropic Sonnet 3.7 CUA is the current SOTA, with the detailed [results here](https://eval.skyvern.com/?evaluation_target=skyvern_final_eval_skyvern_2_0&page=1).\n\nOver the past few months, Web Browsing agents such as [Skyvern](https://www.skyvern.com), [Browser-use](https://browser-use.com/) and [OpenAI's Operator (CUA)](https://operator.chatgpt.com/) have taken the world by storm. These agents have been used in production for a variety of tasks, from helping people apply to jobs, downloading invoices, and even doing SS4 filings for newly incorporated companies.\n\n![](https://blog.skyvern.com/content/images/2025/05/onlayer-gif.gif)\n\n_Skyvern attempting to purchase a product_\n\n![](https://blog.skyvern.com/content/images/2025/05/irs_demo.gif)\n\n_Skyvern attempting to fill out the IRS form_\n\nMost agents report state of the art performance, but we find that browser agents still struggle with a wide variety of tasks, particularly ones involving authentication, form filling and file downloading.\n\nThis is because the standard benchmark today ([WebVoyager](https://arxiv.org/abs/2401.13919)) focuses on read-heavy tasks and consists of **only** **643 tasks across only** **15 websites (out of 1.1 billion possible websites!).** While a great starting point, the benchmark does not capture the internet’s adversarial nature towards browser automation and the difficulty of tasks involving mutating of data on a website.\n\n![](https://blog.skyvern.com/content/images/2025/05/chase3-ezgif.com-video-to-gif-converter--1-.gif)\n\n_Can’t access [chase.com](http://chase.com)_\n\n![](https://blog.skyvern.com/content/images/2025/05/2025-05-08T02_12_10.137717_a_390786750312029848_recording-ezgif.com-video-to-gif-converter--1-.gif)\n\n_Can’t close a pop-up dialog_\n\nAs a result, we partnered with [Halluminate](https://www.halluminate.ai) and created a new benchmark to better quantify these failures. Our goal was to create a new consistent measurement system for AI Web Agents by expanding the foundations created by [WebVoyager](https://arxiv.org/abs/2401.13919) by:\n\n1. Expanding the number of websites from 15 → 452, and tasks from 642 -> 5,750 to test agent performance on a wider variety of websites\n2. Introduce the concept of READ vs WRITE tasks\n3. READ tasks involve navigating websites and fetching data\n * WRITE tasks involve entering data, downloading files, logging in, solving 2FA, etc, and were not well represented in the WebVoyager dataset\n4. Measure the impact of browser infrastructure (eg, access the websites, solve captchas, not crash, etc)\n\nWe’re excited to announce Web Bench, a new dataset to evaluate web browsing agents that consists of 5,750 tasks on 452 different websites, with [2,454 tasks being open sourced.](https://github.com/Halluminate/WebBench/tree/main)\n\n# Results TL;DR\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-26-at-6.13.00---PM--1-.png)\n\n* All agents performed surprisingly poorly on write-heavy tasks (eg, logging in, filling out forms, downloading files), which implies that this is the area for the highest opportunity for growth\n* Skyvern 2.0 has the best performance for tasks in this category\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-11.54.34---AM.png)\n\n* Agent performance for read-heavy tasks (eg, extracting information out of websites) was better than we expected\n* Anthropic’s CUA had the highest performance\n* The [entire run is **open source**](https://eval.skyvern.com/) and can be viewed to see the specific performance of each task\n\n# Dataset Creation\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-11.49.12---AM.png)\n\nThe 452 websites are distributed across 17 primary categories. We sampled the benchmark websites from the [top 1000 websites in the world](https://dataforseo.com/free-seo-stats/top-1000-websites) measured by web traffic. We then cleaned this dataset of sites by removing:\n\n* repeat domains\n* sites without English translations\n* sites blocked by paywall\n\n# Results\n\n## Initial conditions\n\n* We ran OpenAI Operator with a human in the loop to establish a baseline for performance\n* We used consistent browser infrastructure (Skyvern’s infrastructure) when comparing the API-only models without a runtime to eliminate variables\n* We also ran Skyvern 2.0 on Browserbase to compare the impact of infrastructure, but found (surprisingly) that Skyvern’s infrastructure was able to reliably access more websites and encountered fewer anti-bot issues during navigation\n* Each agent was allowed a max of 50 steps per execution\n* Each result was validated by a human in the loop to assert evaluation data quality\n\n## Accuracy (Overall)\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-11.53.34---AM--1-.png)\n\nThese results were a little bit surprising, so we decided to cut the data along 2 dimensions to understand where agents may falter:\n\n1. Read-only tasks (ie, extracting visible data from a particular website)\n2. Write heavy tasks (ie, logging into websites, filling out forms, downloading files)\n\n## Accuracy (Read-only tasks)\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-11.54.34---AM--1-.png)\n\nRead-only tasks constitute tasks that involve agents going to different websites and navigating the sitemap until a particular answer/state has been found.\n\nUnsurprisingly, these results matched the WebVoyager dataset more closely, as the WebVoyager dataset was largely curated to help agents navigate websites and answer questions.\n\nThe biggest 2 sources of failures for read-heavy tasks are:\n\n* Navigation Issues (cannot figure out how to navigate a page, can’t solve popups)\n* Information extraction issues (doesn’t pull the correct information)\n\n## Accuracy (Write-heavy tasks)\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-26-at-6.13.00---PM--2-.png)\n\nTasks involving:\n\n* filling out forms\n* logging in\n* solving 2FA\n* downloading files\n\nhad a much lower pass rate across the board.\n\nDigging a bit deeper into the failures, there were two culprits for the failures that popped up:\n\n* Incomplete execution (hallucinating that it’s achieved the goal when it has not)\n* Unable to identify the correct element to interact with (eg can’t close a popup dialog)\n\n![](https://blog.skyvern.com/content/images/2025/05/ezgif.com-speed-1.gif)\n\n_Can’t close subscription pop-up_\n\n![](https://blog.skyvern.com/content/images/2025/05/error2-ezgif.com-speed-1.gif)\n\n_Unable to find and click coupon buttons_\n\nThese issues manifest as agents making adverse changes when filling out forms, or optimistically assuming that clicking a “Submit” button completes the task, when in reality, a captcha appeared that now needs to be solved.\n\nThis issue is very similar to the phenomenon observed in coding agents, where smarter models try to “overhelp” with code changes by either making changes to unrelated parts of the codebase or repeatedly suggesting incorrect things because they’re missing some important context.\n\n## Agent Failure Modes - Deepdive\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-11.56.30---AM.png)\n\nDigging deeper, we were able to qualify the overall failures into two buckets:\n\n1. Agent Failures (eg, Agents hallucinated/made poor decisions or didn’t interact with important elements)\n2. Infrastructure failures (eg, Agent can’t access the website, solve a captcha to log in)\n\n### Agent issues\n\nThe 4 biggest categories of agent errors are:\n\n* Navigation Issue (cannot figure out how to navigate a page, can’t solve popups)\n* Incomplete execution (hallucinating that it’s achieved the goal when it has not)\n* Time-outs (exceeds step limits)\n* Information extraction issue (doesn’t pull the correct information)\n\n### **Infrastructure issues**\n\nThe 3 biggest categories of infrastructure issues are:\n\n* Proxy (Failed to access website/website blocked)\n* Captcha (Verification required to proceed and the infrastructure is unable to solve it)\n* Login/Authentication (Google Auth detecting you’re a bot)\n\nThese findings imply that the browser infrastructure powering the agents is equally as important as the quality of the agent itself.\n\n# Other interesting characteristics\n\nWhile accuracy is the most important characteristic of a web browsing agent, there is also a desire to get “faster” and “cheaper” agents.\n\nFast and cheap agents can be characterized by tracking the following metrics:\n\n1. Runtime duration\n2. Number of steps\n\nWhile the right pricing model for browser agents hasn’t emerged yet, this data gives an important insight into whether pricing per hour (common amongst hosted browsers + older robotic process automation) and pricing per step (common amongst computer use APIs) is the right methodology.\n\n## Agent Runtime Duration\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-28-at-10.14.41---AM.png)\n\nThis metric is important for a few latency-sensitive market segments/situations:\n\n1. Copilot-like products where a human is supervising 1 or many agents executing in parallel\n2. Phone agents referencing information / doing real-time lookups while a user is talking\n3. Websites aggregating information in real-time to show to the user(e.g., looking up flight or domain name availability)\n\n## Steps\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-10.47.56---PM.png)\n\nMost web browsing agents’ costs scale with the number of steps (i.e., page scans) required to complete a specific task.\n\nAgents may use a varied number of steps for a few reasons:\n\n1. Most agents use different architectures to batch actions together to minimize the number of steps\n2. Agents eager to solve the problem may use a lot of steps in error situations to try to independently resolve their issues (e.g., chatting with support for solutions instead of terminating early)\n3. Agents using pessimistic approaches to reduce hallucinations may invalidate batches of actions whenever the website changes after a particular action (i.e., filling in an address field might invalidate the action plan for the rest of the page)\n\n# Next Steps\n\n* We intend to benchmark [Claude 4](https://www.anthropic.com/news/claude-4), [Operator O3](https://openai.com/index/o3-o4-mini-system-card-addendum-operator-o3/), [UI-TARs](https://github.com/bytedance/UI-TARS), and [Mariner API](https://deepmind.google/models/project-mariner/)\n* We intend to expand the benchmark to cover more categories of websites beyond the top 1000 websites in the world\n* We intend to expand this dataset to include other languages to assert multi-lingual browser agent performance\n\n# FAQ\n\n### Why not include a bigger cohort of websites?\n\nThe goal of the first version of Web Bench was to start with a reasonably large number of websites + tasks.\n\nThe next few versions will expand: (1) the number of websites encompassed by this benchmark, (2) the language of websites, and (3) the categories of websites\n\n### Why were only a subset of vendors benchmarked?\n\nThe overall cost to run this benchmark was approximately $3,000 per agent for human evaluations. This cost is high enough to be prohibitive of testing every single agent on the market.\n\nThe halluminate team plans to release an open-source automated evaluation harness to allow teams to self-serve testing against [Web Bench](https://www.webbench.ai). We leave this for future work.\n\nIf you’d like to submit benchmark results for your own agent, please [contact the Halluminate team](mailto:jerry@halluminate.ai)\n\n### Where can I read the technical deepdive?\n\nFor a comprehensive technical debrief on the dataset creation and evaluation methodology, check out the Halluminate team writeup [here](https://halluminate.ai/blog/benchmark).\n\n### Did anything funny happen along the way?\n\nYes.\n\nWe had examples of Skyvern chatting with GitHub’s AI Support bot\n\n![](https://blog.skyvern.com/content/images/2025/05/image--67-.png)\n\nBrowser Use googled how to evade Cloudflare captchas\n\n![](https://blog.skyvern.com/content/images/2025/05/image--68-.png)\n\n", "url": "https://www.ycombinator.com/launches/NdK-web-bench-a-new-way-to-compare-ai-browser-agents", "votes": 18, "created_at": "2025-05-29T18:26:39.628Z" }, { "id": 89234, "title": "🐉 Skyvern MCP Server: let agents control your browser", "tagline": "Meet Skyvern, an open source AI agent that can control your browser and complete complex tasks", "body": "We were playing around with MCPs over the weekend and thought it would be cool to build an MCP that lets Claude / Cursor / Windsurf control your browser: \n\nJust for context, we’re building Skyvern, an open-source AI Agent that can control and interact with browsers using prompts, similar to OpenAI’s Operator.\n\nThe MCP Server can:\n\n* This allows Claude to navigate to docs websites/stack overflow and look up information like the top posts on hackernews\n\n![uploaded image](/media/?type=post&id=89234&key=user_uploads/1120458/9a0259b8-ebb7-44c4-9f4d-a881c31c8d10)\n\n* This allows Cursor to apply for jobs, fill out contact forms, log in and download files, etc.\n\n ![uploaded image](/media/?type=post&id=89234&key=user_uploads/1120458/f9c936a8-88de-47cc-8209-7983754fcb8a)\n\n* Connect Windsurf to take over your Chrome while running Skyvern in “local” mode\n\n![uploaded image](/media/?type=post&id=89234&key=user_uploads/1120458/40ca033c-fa32-4c7f-bda0-7cd072ae9212)\n\nWe built this mostly for fun, but we can see this being integrated into AI agents to give them custom access to browsers and execute complex tasks like booking appointments, downloading your electricity statements, looking up freight shipment information, etc.", "url": "https://www.ycombinator.com/launches/NDG-skyvern-mcp-server-let-agents-control-your-browser", "votes": 8, "created_at": "2025-04-03T18:28:44.864Z" }, { "id": 86895, "title": "Skyvern 2.0 - State-of-the-art web navigation with 85.8% on WebVoyager Eval", "tagline": "Open source AI Web Agent", "body": "We’ve been working hard, cooking up something new to share with you all!\n\nSkyvern 2.0 **scored state-of-the-art 85.85%** on the WebVoyager Eval.\n\nThis is the best-in-class performance of all WebAgents, giving advanced closed-source web agents like Google Mariner a run for their money.\n\n![uploaded image](/media/?type=post&id=86895&key=user_uploads/1120458/4f04949f-e01d-42cb-b568-a2460f7ac7f5)\n\n### TL;DR\n\n* **Real-World Tests:** We ran all of the tests in Skyvern Cloud to get a better representation of autonomous browser operations (ie, they didn’t run on any local machines)\n* **Open-Sourced Results:** All of the runs can be [seen here](https://eval.skyvern.com/) through our UI.\n* **We’re just getting started**. Try [Skyvern Cloud](https://app.skyvern.com/) or [Skyvern Open Source](https://github.com/Skyvern-AI/Skyvern) out for yourself and see Skyvern in action!\n\n## Agent Architecture\n\nAchieving this SOTA result required expanding Skyvern’s original architecture. Skyvern 1.0 involved a single prompt operating in a loop both making decisions and taking actions on a website. This approach was a good starting point but scored \\~45% on the WebVoyager benchmark because it had insufficient memory of previous actions and could not do complex reasoning.\n\nTo solve this problem, we created a self-reflection feedback loop within Skyvern. This resulted in 2 main changes:\n\n1. We added a “Planner” phase, which could decompose very complex objectives down into smaller achievable goals\n2. This allowed Skyvern to have a working memory of things it had completed and things that were still waiting to be finished\n * This allows Skyvern to work with long, complex prompts without increasing the hallucination rate\n3. We added a “Validator” phase, which confirmed whether or not the original goals the “Planner” generates are successfully completed\n4. This acts as a supervisor function to confirm that the Task executor is achieving its objectives as expected and report any errors/tweaks back to the Planner so it can make adjustments in real-time as needed\n\n![](https://blog.skyvern.com/content/images/2025/01/architecture.png)\n\n## Test Setup\n\nAll tests were run in [Skyvern Cloud](https://app.skyvern.com/) with an **async cloud browser** and used a combination of GPT-4o and GPT-4o-mini as the primary decision-making LLMs. The goal of this test is to assert real-world quality — the quality represented by this benchmark is the same as what you would experience with [Skyvern](https://app.skyvern.com/)’s browsers running asynchronously.\n\n💡 **Why is this important?** Most benchmarks are run on local browsers with a relatively safe IP address and an impressive browser fingerprint. This is not representative of how Autonomous agents will run in the cloud, and we wanted our benchmark to represent how agents would behave in production\n\nIn addition to the above, we’ve made a few minor tweaks to the dataset to bring it up to date:\n\n1. We’ve removed 8 tasks from the dataset because the results are no longer valid. For example, one of the tasks asked to go to [apple.com](http://apple.com) and check when the Apple Vision Pro will be released — in 2025, it’s already been released and forgotten\n2. Many of the flight/hotel booking tasks referenced old dates. We updated both the prompt and the answer to more modern dates for this evaluation\n\n🔍 **For the curious**:\n\nThe full dataset can be seen here: \n\nThe full list of modifications can be seen here: \n\n## Test Results\n\nWe’re doing something out of the ordinary. In addition to the results, we’re making our entire benchmark run public.\n\n💡 **Why is this important?** Most benchmarks are run behind closed doors, with impressive results being published without any accompanying material to verify the results. This makes it hard to understand how things like hallucinations or website drift over time play an effect on agent performance\n\nWe believe this isn’t aligned with our open source mission, and have decided to publish the entire eval results to the public.\n\n📊 All individual run results can be seen here: \n\n🔍 The entire Eval dataset can be seen here: \n\n## Limitations of the WebVoyager benchmark\n\nThe WebVoyager benchmark is a comprehensive benchmark testing a variety of prompts on 15 different websites. While this acts as a good first step in testing Web agents, this only captures 15 hand-picked websites of the millions of active websites on the internet.\n\nWe think there is tremendous opportunity here to better evaluate web agents against one another with a more comprehensive benchmark similar to SWE-Bench.\n\n## What’s on the horizon\n\nBrowser automation is still a nascent space with tons of room for improvement. While we’ve achieved a major milestone in agent performance, a few important issues are next to be solved:\n\n1. Can we improve Skyvern’s reasoning to operate efficiently in situations with more uncertainty? Examples include vague prompts, ambiguous or highly complex websites/tools, websites with extremely poor UX (legacy portals)\n2. Can we give Skyvern access to more tools so it can effectively log into websites, make purchases, and behave more like a human?\n3. Can we have Skyvern better memorize things it has already done in the past so it can do them again at a lower price point?\n\n## References\n\n* [Google Mariner Report](https://deepmind.google/technologies/project-mariner/)\n* [Claude Computer Use Report](https://docs.anthropic.com/en/docs/build-with-claude/computer-use)\n* [WebVoyager Report](https://arxiv.org/html/2401.13919v4)\n* [WILBUR Report](https://arxiv.org/html/2404.05902v1)\n* [AgentE Report](https://arxiv.org/html/2407.13032v1)\n* [HCompany Report](https://www.hcompany.ai/blog/a-research-update)", "url": "https://www.ycombinator.com/launches/MbX-skyvern-2-0-state-of-the-art-web-navigation-with-85-8-on-webvoyager-eval", "votes": 10, "created_at": "2025-01-16T16:48:00.855Z" }, { "id": 86198, "title": "🐉 Skyvern's Contact Form Agent: Automate contact form submissions with AI", "tagline": "Cold outbound is the worst. Try this new form of outbound instead!", "body": "Companies use [Skyvern](https://www.skyvern.com/) to automate browser-based workflows, doing tasks like form-filling, invoice downloading, and more. One emerging use case for Skyvern has been navigating to thousands of different websites and filling out contact forms... to scale a new untapped outbound channel.\n\nAnd this strategy blew our minds. Why:\n\n1. Companies with contact forms often, guess what, want to be contacted\n2. Contact form submissions often go to a specific team dedicated to help with inquiries\n3. You avoid all of the craziness that comes with setting up email infrastructure: buying up domains, warming inboxes, worrying about bounce rates and other email nuisances\n4. You can send as many as you want whenever you want—forget limiting the number you send per day to increase deliverability\n\nThe demand and success of this use case led us to create a dedicated agent tailored to it: Skyvern Contact Forms. And this is why I’m here, to share this sick outbound strategy and let you know we can help :)\n\nTry it out at [**https://app.skyvern.com/forms**](https://app.skyvern.com/forms), let us know what you think!\n\nLike what you see and want bulk pricing? [**I’d love to chat.**](https://meetings.hubspot.com/skyvern/demo)\n\n![uploaded image](/media/?type=post&id=86198&key=user_uploads/1120458/2e37309e-035e-41cd-b89a-c8552a5019d6)\n\n", "url": "https://www.ycombinator.com/launches/MQI-skyvern-s-contact-form-agent-automate-contact-form-submissions-with-ai", "votes": 8, "created_at": "2024-12-10T18:35:41.619Z" }, { "id": 81634, "title": "🐉 Skyvern Cloud - Open source AI Agent to automate browser based workflows", "tagline": "The easiest way to automate similar tasks on a lot of different websites", "body": "### TL;DR\n\n[Skyvern](https://skyvern.com/) helps companies automate browser-based workflows using AI. We provide a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable scripts. We’re open source — check out [our repository here](https://github.com/Skyvern-AI/Skyvern). **We just launched Skyvern Cloud — check it out at **[**app.skyvern.com**](https://app.skyvern.com)**.**\n\n**—**\n\n### 🧙‍♂️🐉 Skip the boring explanation, show me the magic!\n\n**We have good news!** We just launched Skyvern Cloud. You can go to [app.skyvern.com](http://app.skyvern.com) and try playing around with it! You’ll get $5 of credit when signing up and setting up a payment method\n\nHere’s an example of it filling out the job application form and applying to Lever’s job demo website:\n\n![uploaded image](/media/?type=post&id=81634&key=user_uploads/1120458/b3e666b8-5e36-4e7e-91ac-1120de55cd39)\n\n### 🤔 What are browser workflows?\n\nMost companies we’ve talked to have manual or semi-automated workflows that support their core product. Many of these workflows started manually as companies were getting off the ground, [doing things that don’t scale](https://paulgraham.com/ds.html), and evolved to occupy a larger amount of human capital or automated with unreliable scripts.\n\n**Example 1 — Downloading invoices on a large number of websites**\n\nLet’s say it’s the end of the month, and your accountant is hounding you for invoices for all your transactions this month. Traditionally, you would have to log into each portal and download it yourself. Skyvern can help automate this for you! **PS: If you’d like to automate a complex flow like this, we’d [love to help get you set up.](https://meetings.hubspot.com/suchintan)**\n\n![uploaded image](/media/?type=post&id=81634&key=user_uploads/1120458/49e1d569-5a46-4728-a3ec-6a0a4d8c40aa)\n\n**Example 2 — Filling out forms + uploading documents on Government websites**\n\nLet’s say you’re an accounting company or a law firm, and you want to help your clients get set up for Payroll in California — you wouldn’t want to go get registered for EDD manually for each potential customer.. and in each state! Call in a favor from Skyvern to help automate this.\n\n![uploaded image](/media/?type=post&id=81634&key=user_uploads/1120458/66682edb-bdc4-4a03-b157-235501356bfc)\n\n**Example 3 — Automating materials procurement from commerce websites**\n\nLet’s say you’re a B2B marketplace for car parts, and your users submit orders from multiple vendors with you. A subset of vendors you work with don’t support ordering via an API, so you have a human in the loop to transact orders for those vendors. Here’s an example of Skyvern navigating to [finditparts.com](http://finditparts.com/) and ordering an airbag — all via an API call!\n\n![uploaded image](/media/?type=post&id=81634&key=user_uploads/1120458/f4630123-b7d1-4fff-aedb-31dd3ea11f05)\n\n**Example 4 —** **Completing dynamic multi-step workflows**\n\nLet’s say that you’re trying to automate complex workflows, such as generating insurance quotes. Skyvern is able to navigate each step until its specified goal is achieved — even if the steps change depending on the user’s situation. Here’s an example of Skyvern navigating to [Geico.com](http://geico.com/) and generating an auto insurance quote with your personalized information.\n\n![uploaded image](/media/?type=post&id=81634&key=user_uploads/1120458/f800fef8-1a6d-4345-ba5a-043a154ad488)\n\n### 🤩 How does it work??\n\nSkyvern uses LLMs to become an AI Agent capable of interacting with websites like you or I would — all via a simple API call.\n\nTraditional approaches required writing custom scripts for websites, often relying on [DOM parsing](https://developer.mozilla.org/en-US/docs/Web/API/Document_Object_Model) and [XPath-](https://en.wikipedia.org/wiki/XPath)based interactions, which would break whenever the website layouts changed.\n\nSkyvern’s prompt → automation breaks these constraints and relies on multi-modal LLMs to parse items in the viewport and interact with them the way a human would.\n\nThis approach gives us a few advantages:\n\n1. Skyvern can take a single prompt (i.e., “Download an invoice from the order history page”) and repeat it across a large number of similar websites. This would traditionally require one script per website — making tackling the long tail of website interactions very challenging\n2. Skyvern is able to operate on websites it’s never seen before, as it’s able to map visual elements to actions necessary to complete a workflow without any customized code\n3. Skyvern is resistant to website layout changes, as there are no pre-determined XPaths or other selectors our system is looking for while trying to navigate\n4. We’re able to circumvent or navigate through many bot detection methods, as many of them rely on looking for outlier behavior\n5. We rely on LLMs to reason through interactions to make sure we can cover complex situations. Examples include:\n * If you wanted to get an auto insurance quote from Geico, the answer to a common question, “Were you eligible to drive at 18?” could be inferred from the driver receiving their license at age 16\n * If you were doing competitor analysis, it’s understanding that an Arnold Palmer 22 oz can at 7/11 is almost definitely the same product as a 23 oz can at Gopuff (even though the sizes are slightly different, which could be a rounding error!)\n\n### 😮 And you’re open source?\n\nYes! You can [check out our code here](https://github.com/Skyvern-AI/Skyvern). We’re open source for two big reasons:\n\n1. It allows developers to be able to look at, understand, and dive deep into Skyvern’s implementation details to (1) expand their capabilities by adding support for new functionality and (2) decode why they’re doing what they’re doing.\n2. It allows security-minded enterprises to escape “security theater” and keep data on-prem by self-hosting Skyvern.\n 1. If this is at all interesting to you, [let’s chat](https://meetings.hubspot.com/suchintan?uuid=9cb375c0-cb2c-4900-b22d-f52baa74dfb2).\n\n### Our Ask\n\nDo you have any complex workflows that you’d love to automate? We’d love to chat! Shoot me an email at [suchintan@skyvern.com](mailto:suchintan@skyvern.com) or grab some time via [my calendar.](https://meetings.hubspot.com/suchintan)", "url": "https://www.ycombinator.com/launches/LEg-skyvern-cloud-open-source-ai-agent-to-automate-browser-based-workflows", "votes": 35, "created_at": "2024-06-20T14:46:54.762Z" }, { "id": 77665, "title": "🐉 Skyvern - Automate Browser-based workflows with AI", "tagline": "Automate manual workflows within your company with an AI Agent", "body": "### TL;DR\n\nSkyvern helps companies automate browser-based workflows using LLMs and computer vision. We provide a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable scripts.\n\n### 🤔 What are browser workflows?\n\nMost companies we’ve talked to have manual or semi-automated workflows that support their core product. Many of these workflows started manually as companies were getting off the ground, [doing things that don’t scale](https://paulgraham.com/ds.html), and evolved to occupy a larger amount of human capital or automated with unreliable scripts.\n\n**Example 1 — Automating materials procurement from commerce websites**\n\nLet’s say you’re a B2B marketplace for car parts, and your users submit orders from multiple vendors with you. A subset of vendors you work with don’t support ordering via an API, so you have a human in the loop to transact orders for those vendors. Here’s an example of Skyvern navigating to [finditparts.com](http://finditparts.com) and ordering an airbag — all via an API call!\n\n![uploaded image](/media/?type=post&id=77665&key=user_uploads/1120458/055a1d70-8ed2-428d-8104-740f7632d3e7)\n\n**Example 2 —** **Completing complex multi-step workflows**\n\nLet’s say you’re trying to automate complex workflows such as generating insurance quotes. Skyvern can navigate each step until its specified goal is achieved — even if the steps change depending on the user’s situation. Here’s an example of Skyvern navigating to [Geico.com](http://Geico.com) and generating an auto insurance quote with your personalized information.\n\n![uploaded image](/media/?type=post&id=77665&key=user_uploads/1120458/747160ae-eb91-48c0-977d-830074a5b93b)\n\n### 🤩 How does it work??\n\nOur focus is bringing stability to browser-based workflows. We leverage LLMs to create an AI Agent capable of interacting with websites like you or I would — all via a simple API call.\n\nTraditional approaches required writing custom scripts for websites, often relying on [DOM parsing](https://developer.mozilla.org/en-US/docs/Web/API/Document_Object_Model) and [XPath-](https://en.wikipedia.org/wiki/XPath)based interactions which would break whenever the website layouts changed.\n\nSkyvern operates like a human — increasing reliability by not relying on fragile scripts, instead relying on computer vision to parse items in the viewport and interact with them the way a human would.\n\nThis approach gives us a few advantages:\n\n1. Skyvern can operate on websites it’s never seen before, as it’s able to map visual elements to actions necessary to complete a workflow, without any customized code\n2. Skyvern is resistant to website layout changes, as there are no pre-determined XPaths or other selectors our system is looking for while trying to navigate\n3. We’re able to circumvent or navigate through many bot detection methods as many of them rely on allowing people to access the websites\n4. We rely on LLMs to reason through interactions to ensure we can cover complex situations. Examples include:\n * If you wanted to get an auto insurance quote from Geico, the answer to a common question “Were you eligible to drive at 18?” could be inferred from the driver receiving their license at age 16\n * If you were doing competitor analysis, it’s understanding that an Arnold Palmer 22 oz can at 7/11 is almost definitely the same product as a 23 oz can at Gopuff (even though the sizes are slightly different, which could be a rounding error!)\n\n### Our Ask\n\nDo you have any complex workflows that you’d love to automate? Were you [doing things that don’t scale](https://paulgraham.com/ds.html) that you now need to scale? We’d love to chat! Shoot me an email at [suchintan@skyvern.com](mailto:suchintan@skyvern.com) or grab some time via [my calendar.](https://meetings.hubspot.com/suchintan)", "url": "https://www.ycombinator.com/launches/KCf-skyvern-automate-browser-based-workflows-with-ai", "votes": 69, "created_at": "2024-01-19T17:34:36.013Z" }, { "id": 72744, "title": "🐉 Wyvern AI - Increase revenue in marketplaces with better product ranking", "tagline": "With Wyvern, not only do marketplaces get better product ranking, they get the ability to fine-tune the ranking with unique insights about their business", "body": "**TL;DR:** [Wyvern.ai](https://www.wyvern.ai?utm_source=yc&utm_medium=yc_launch_email&utm_campaign=launch_yc&utm_id=10) is a machine learning platform for marketplaces to help them optimize their product ranking. We do this by providing an API that’s integrated with their product catalog, that optimizes product ranking based on factors such as popularity, relevance, and personalization. In addition, we also provide a framework where customers can fine-tune their product ranking models with custom insights and tailor them to their business. We built this exact platform before, and it unlocked over $100M of value.\n\n## 💸 Product Ranking: **Unleashing Growth Potential**\n\nMarketplaces, such as Amazon, eBay, or Etsy, often have millions of products listed by various sellers, making it crucial to determine how to present these products to users effectively. These companies have teams of data scientists dedicated to improving the quality of product ranking, factoring in things like personalization (ie individual user preferences), relevance, and general product popularity.\n\nOur experience building Faire and Gopuff’s machine learning platform highlighted the value that product ranking derives for the business. Through successive iterations of machine learning models, we witnessed impacts exceeding 10% (equivalent to over $100 million) for these businesses.\n\nA notable portion of these impactful iterations involved providing machine learning models with access to unique insights into user behaviour. For instance, at Faire, gaining a better understanding of what products their retailers stocked in their stores enabled tailoring the shopping experience to suit each store's distinct characteristics.\n\nOther larger marketplaces had their own insights. At eBay, incorporating buyer-seller shipping logistics information into their product ranking models produced notable improvements. Similarly, at Etsy, the users' initial interactions with the site indicate their shopping intention, allowing their product ranking models to transform the entire homepage to deliver a personalized experience.\n\n## 💣 Challenges to navigate along the way\n\nWhile larger marketplaces have the leverage to iterate on their product ranking, smaller marketplaces tend to buy off-the-shelf solutions, allowing them to bootstrap and search for product-market-fit.\n\nOnce a marketplace establishes product-market-fit, transitioning from an off-the-shelf product ranking solution to a highly customizable one is deceptively challenging and requires substantial engineering investment:\n\n1. **Latency:** Effective product ranking models perform better when they can evaluate a large number of products. However, as the number of products increases, so does the user-facing latency. Maintaining fast browsing experiences while running machine learning models on hundreds of products in under 100 milliseconds is a demanding technical hurdle.\n2. **Customizability:** The value derived from machine learning models in product ranking heavily relies on incorporating unique user behavior within the marketplace. Therefore, the system needs to be highly flexible, enabling data science teams to explore and implement new insights they acquire about users.\n3. **Observability:** The importance of data quality and accuracy cannot be overstated in machine learning. Ensuring that that the data used for model training and evaluation is reliable, enabling effective decision-making and accurate product ranking.\n\n## 🐉 Solution: [Wyvern AI](https://www.wyvern.ai?utm_source=yc&utm_medium=yc_launch_email&utm_campaign=launch_yc&utm_id=10)\n\nWyvern’s machine learning platform solves these problems. Not only do we give marketplaces a model that immediately improves their product ranking, we also provide:\n\n1. The ability to iterate on and fine-tune the model by expanding its inputs, such as relevance, personalization, popularity, and more.\n2. The ability to adjust the model's objective, allowing it to optimize conversion, GMV, revenue, profit, or a combination thereof, based on the current focus of the business.\n3. An observability layer is provided to marketplaces, offering essential capabilities for debugging and evaluate historic predictions. This layer also facilitates transforming the data into a feedback loop, enabling continuous improvement of the performance of real-time machine learning models.\n\nThis allows our customers to dedicate data scientists to iterate on models within their marketplace, allowing them to continually improve the quality of product ranking across all of their surfaces.\n\n![uploaded image](/media/?type=post&id=72744&key=user_uploads/1120458/639a4715-c00e-430a-94c3-f5b122dfe255)\n\n## 🙏 Our asks\n\n* Are you a marketplace company? We would love to chat.\n* Do you know anyone working at growing marketplaces? We’d love an introduction.\n* If you have any questions, you can reach us at [suchintan@wyvern.ai](https://mailto:suchintan@wyvern.ai)", "url": "https://www.ycombinator.com/launches/IvI-wyvern-ai-increase-revenue-in-marketplaces-with-better-product-ranking", "votes": 18, "created_at": "2023-07-05T13:51:14.223Z" } ] }, { "id": 28890, "name": "Decoda Health", "slug": "decoda-health", "former_names": [ "Heal Financial" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f3b1efd47e85f38279cafba940ec0988913d113.png", "website": "https://decodahealth.com/", "all_locations": "Toronto, ON, Canada", "long_description": "Med spas, wellness clinics, and aesthetics practices run on 5-10 disconnected tools — separate systems for scheduling, charting, payments, patient communication, and more. It's expensive, error-prone, and holds teams back.\r\n\r\nDecoda is the all-in-one EMR and practice management platform purpose-built for elective care. AI is woven into every workflow — from an AI front desk that answers calls and books patients 24/7, to an ambient scribe that generates clinical notes in real time, to automated patient follow-ups that keep calendars full. Scheduling, payments, memberships, inventory, and analytics all live in one place.\r\n\r\nLive in 150+ clinics, processing $100M+ in annual transactions.", "one_liner": "The all-in-one EMR built for med spas and elective care", "team_size": 19, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1689972321, "tags": [ "SaaS", "Digital Health", "Healthcare IT", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "Canada", "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/decoda-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/decoda-health.json", "year_founded": 2023, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/decoda-health/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f3b1efd47e85f38279cafba940ec0988913d113.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/91c41579d8359ec2ccb518fc12dbbc3663494aa1.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1279796, "full_name": "Daniyal Afzal", "title": "Founder", "founder_bio": "Cofounder @ Decoda Health (YC S23)", "is_active": true, "linkedin_url": "https://linkedin.com/in/daniyalafzal", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5c5240e8e3feb87f9d68a9df8c83c9f8b0b8f763.jpg" }, { "user_id": 1383058, "full_name": "Kevin Cheng", "title": "Founder", "founder_bio": "Co-founder of Decoda Health (S23)", "is_active": true, "linkedin_url": "https://linkedin.com/in/kevincheng97", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c67c471e5b015c8ffc97b7cde0d6868c7d867c4d.jpg" } ], "jobs": [ { "id": 89576, "title": "Customer Success Manager", "url": "https://www.ycombinator.com/companies/decoda-health/jobs/WfbqYan-customer-success-manager", "location": "Toronto Office", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "", "equity_range": "", "experience": "", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 96026, "title": "Decoda Health: the operating system for elective care", "tagline": "Where healthcare operations become intelligent.", "body": "Clinics that rely on point solutions and disconnected tools create missed opportunities, fragmented patient experiences, and endless admin work.\n\n**Decoda Health** **is the operating system for modern elective-care clinics.** Our AI agents answer calls, take notes, keep calendars full, and handle patient follow-ups - all on top of a unified platform for scheduling, payments, memberships, prescriptions, labs, and analytics.\n\nWe’re live in **150+ clinics**, processing **$100M+** annually, saving **$7M** in admin time, and generating **$20M+** in new revenue for our customers. We have grown more than ten-fold in the last 6 months.\n\nhttps://youtu.be/Ala-OpQMy4M\n\n### Problem\n\nEvery clinic has knowledge - how patients move through the workflow, which tasks matter most, what providers need, what's already been done, what's still pending.\n\nBut that knowledge lives in **ten different tools** and the minds of staff who come and go.\n\nSo every day feels like starting from scratch:\n\n![uploaded image](/media/?type=post&id=96026&key=user_uploads/1279796/be2f277d-ce92-4e4d-91f7-bcca78422717)\n\nThis isn't a workflow issue. **It's a missing foundation.**\n\n### **Solution**\n\n![uploaded image](/media/?type=post&id=96026&key=user_uploads/1279796/65d5dc7a-69ef-430c-a89f-5d4376294f1a)\n\nFirst, we built the **full suite of modules every clinic needs**: scheduling, intake & consent forms, unified communications, charting & documentation, inventory & checkout, patient messaging, and reporting & analytics.\n\nThen we layered on intelligent agents that carry deep context and perform tasks like **answering calls, taking notes, and keeping calendars full.**\n\nBecause these agents and modules live inside the same platform, every workflow becomes connected and actionable.\n\nThe more a clinic uses Decoda, the **smarter** and **more streamlined** it becomes. This creates a **compounding advantage:** each clinic builds more longitudinal data, each agent becomes smarter with greater context, and each workflow grows increasingly deterministic.\n\nOver time, the system becomes not just a tool, but a **trusted co-pilot for running the clinic**.\n\n![uploaded image](/media/?type=post&id=96026&key=user_uploads/1279796/ee1b49ba-10ab-4e46-9e86-f9d152c5c10f)\n\n### Why Now\n\n**AI gives tiny teams massive leverage.** As a team of <10 people, we’ve already out-shipped incumbents with 500-person orgs. This moment, and our focus on clinic workflows, creates a rare window to build a category-defining platform.\n\n![uploaded image](/media/?type=post&id=96026&key=user_uploads/1279796/f3e45a34-b6a8-4599-89bc-0606823b3237)\n\n### Starting with elective care\n\nMore people want to live longer, happier, and healthier and are willing to spend on caring for themselves.\n\nWe are starting with a focus on **wellness, longevity, anti-aging, medical aesthetics, dermatology,** and **cosmetic surgery practices.**\n\nThis segment of care is growing fast and remains underserved by incumbent solutions.\n\n### Ask\n\nIf you know someone operating an elective care clinic or any talented folks that want to join us on our mission in any capacity (engineering, sales, ops, etc.), we’d love to hear from you.\n\n✉️ email us at [founders@decodahealth.com](mailto:founders@decodahealth.com)!\n\n💼 share our careers page with your talented friends: [link here.](https://app.dover.com/jobs/decodahealth)", "url": "https://www.ycombinator.com/launches/Oyo-decoda-health-the-operating-system-for-elective-care", "votes": 17, "created_at": "2025-12-08T21:56:43.573Z" } ] }, { "id": 28891, "name": "Numen", "slug": "numen", "former_names": [ "Cleancard" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/801ff758c035f5849acfdcd35329ec161bd30cef.png", "website": "https://www.numen.com", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Engineering a future without cancer deaths.", "team_size": 18, "industry": "Healthcare", "subindustry": "Healthcare -> Diagnostics", "launched_at": 1691571179, "tags": [ "Machine Learning", "Biotech", "Healthcare", "Diagnostics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Diagnostics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/numen", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/numen.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/76116332", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/801ff758c035f5849acfdcd35329ec161bd30cef.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 863380, "full_name": "Luca Springer", "title": "Founder", "founder_bio": "Luca is an expert in network science and computational game theory. He also has a strong policy background with a focus on healthcare systems. Luca previously worked at Stockdale Street, where he gathered years of experience analyzing, investing in, and helping grow healthcare, consumer, and technology companies. He holds an MSc in Computer Science and an MSc in Global Governance from the University of Oxford where he studied as a Rhodes Scholar. Luca is a Schmidt Futures ISF Fellow.", "is_active": true, "linkedin_url": "https://linkedin.com/in/luca-springer-b3801b8a", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d3953e4f6336e741bb8cfd4657d9d3b3622852aa.jpg" }, { "user_id": 863406, "full_name": "Thomas Carroll", "title": "Founder", "founder_bio": "Clinical cancer researcher with a specialty in bioinformatics, biomarkers, and methods development. Passionate about building better diagnostics and putting a dent in cancer mortality.", "is_active": true, "linkedin_url": "https://linkedin.com/in/thomas-carroll-62a60367", "x_url": "https://twitter.com/_tom_dot_com", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6730b7b4c46770d90b1cc88259531421c45248dc.jpg" } ], "jobs": [ { "id": 99608, "title": "Visual Designer", "url": "https://www.ycombinator.com/companies/numen/jobs/AaAkTx0-visual-designer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Design", "role_type": "UI / UX", "salary_range": "$90K - $140K", "equity_range": "0.05% - 0.10%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 73949, "title": "💧🧬Cleancard - Making cancer screening as easy as a pregnancy test", "tagline": "Combining SynBio and AI to make rapid and reliable at-home cancer testing possible", "body": "**Tl;dr:** We’re Cleancard, a pair of Rhodes Scholars on a mission to reinvent cancer diagnostics. We combine synthetic biology + AI to create powerful at-home cancer tests, with results from urine in just 30 minutes. **Check out our **[**website**](https://www.cleancard.bio/)** for more!**\n\nHey everyone - we’re Tom and Luca, the co-founders behind Cleancard!\n\n![uploaded image](/media/?type=post&id=73949&key=user_uploads/863380/9ea23e71-c6d5-4715-8236-7ed89e1d6a90)\n\n👨🏻 [Tom](https://www.linkedin.com/in/thomas-carroll-62a60367/): Clinical cancer researcher, expert in bioinformatics and methods development. No stranger to designing [better biomarker tests](https://www.cell.com/cancer-cell/fulltext/S1535-6108(23)00216-7). 👨🏻‍🦰 [Luca](https://www.linkedin.com/in/luca-springer-b3801b8a/): Computer scientist with a strong healthcare policy background. Years of experience growing healthtech and consumer businesses.\n\n### **Early cancer detection saves lives 🕑**\n\nMore than 18M Americans have cancer today. Unfortunately, this is a growth market (26M projected by 2040). 1 in 3 have a close family member with a history of cancer, and thus have a higher risk for cancer themselves (2x). We know these realities all too well from our personal lives, dealing with hereditary cancer syndromes and family histories of cancer.\n\nCancer will come for many of us. To give ourselves drastically better odds of surviving this disease, we need to diagnose it before it reaches an advanced stage.\n\n![uploaded image](/media/?type=post&id=73949&key=user_uploads/863380/10066d6b-22e6-4e98-a5cf-4fc34047d766)\n\n### **Problem: Cancer screening is failing us 🤬**\n\n* Cancer symptoms are often unnoticeable until the cancer is too advanced to cure\n* Current lab-based screening tests are **time-consuming** and **costly** - they fail to get people to screen before they are symptomatic (even for PSA, only [1 in 3 participate](https://jamanetwork.com/journals/jamaoncology/fullarticle/2797845))\n* At-home rapid tests would increase rates of asymptomatic screening but **just don’t perform well enough** to be trusted for cancer diagnostics\n* Current options are **not sufficient** to give people their best chance at surviving cancer\n\n### **Solution: Cleancard’s rapid testing platform 😍**\n\nWe’ve built a new rapid-test method enabling highly sensitive biomarker-guided diagnostics from the urine in just 30 minutes. Key advantages of our proprietary technology:\n\n* **10x quicker/cheaper** than lab-based tests\n* **10x more sensitive** than lateral flow\n* **No expensive machinery** or **complicated sample manipulation**.\n\nSee how we stack up:\n\n![uploaded image](/media/?type=post&id=73949&key=user_uploads/863380/ed2218af-7627-4f5b-9d17-7adec46c6632)\n\nCleancard technology combines synthetic biology, machine learning, and computer vision into a multiplexable, machine-readable format which allows us to detect multiple cancer biomarkers from a single sample.\n\nOur first rapid at-home screens will identify prostate, bladder, and ovarian cancers. Our method is highly agile - we’ve successfully targeted 10 new cancer biomarkers during this YC batch alone, with more to come soon. \n\nCleancard’s platform is the one-stop shop for reliable detection and tracking of multiple cancer biomarkers in the comfort of your own home.\n\n### **Our asks 🙏**\n\n* **Share this post!** Please help us spread the word with your networks.\n* **Join our team!** We are always looking for highly motivated scientists and engineers to join us in our mission to reinvent cancer diagnostics. If that’s you or someone you know, please get in touch ([contact@cleancard.bio](mailto:contact@cleancard.bio)).", "url": "https://www.ycombinator.com/launches/JEj-cleancard-making-cancer-screening-as-easy-as-a-pregnancy-test", "votes": 46, "created_at": "2023-08-09T15:57:45.669Z" } ] }, { "id": 28893, "name": "VetRec", "slug": "vetrec", "former_names": [ "Verba", "Neum", "Verba", "Neum", "Neum AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b431c0a63a44f00269d119fe4eabf718b56980ac.png", "website": "https://vetrec.io", "all_locations": "Seattle, WA, USA", "long_description": "VetRec automates the process of taking clinical notes for veterinarians in a matter of seconds. Veterinarians should just review clinical notes, not spend time creating them. A visit with a pet is precious and 100% of the focus should be spent on the pet, not on notes. VetRec is the veterinarian's best friend.", "one_liner": "AI Scribe for veterinarians. Saving time and improving patient care.", "team_size": 45, "industry": "B2B", "subindustry": "B2B", "launched_at": 1689362011, "tags": [ "Generative AI", "Health Tech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vetrec", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/vetrec.json", "year_founded": 2023, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tryvetrec", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b431c0a63a44f00269d119fe4eabf718b56980ac.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/13494a0e7396974c3a617d8a07751719983f69ca.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1340645, "full_name": "David de Matheu", "title": "Founder", "founder_bio": "David started his career working in gaming, communications and developer experience at Microsoft. He is passionate in building solutions that help democratize technology, especially within the developer community.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ddematheu", "x_url": "https://twitter.com/ddematheu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5aae16b9ed5c06c02ea81347d3324ed1af9bb19b.jpg" }, { "user_id": 1362703, "full_name": "Kevin Cohen", "title": "Founder", "founder_bio": "Originally from Venezuela, Kevin is a Software Engineer who spent 5+years at Microsoft building Data and AI platforms. Kevin left Microsoft to go work at Circle - the creators of USDC - building a service for ingesting and labeling blockchain data. Now, he is focused on building VetRec, the veterinarian's best friend.\n\nOn his free time, you will find him cooking and hosting people over, his passion after programming.", "is_active": true, "linkedin_url": "https://linkedin.com/in/pkevincohen", "x_url": "https://twitter.com/pkc_xyz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/18ec8a5c31fb613503a8b0fb61c1b64d39ed6938.jpg" } ], "jobs": [], "news": [ { "title": "VetRec and IndeVets Join Forces to Boost Veterinarian Efficiency and Patient Care with Innovative AI Technology", "url": "https://www.prnewswire.com/news-releases/vetrec-and-indevets-join-forces-to-boost-veterinarian-efficiency-and-patient-care-with-innovative-ai-technology-302383836.html", "date": "Feb 25, 2025" }, { "title": "VetRec and Bond Vet Partner to Revolutionize Veterinary Care Across 55+ Locations", "url": "https://www.prnewswire.com/news-releases/vetrec-and-bond-vet-partner-to-revolutionize-veterinary-care-across-55-locations-302356621.html", "date": "Jan 22, 2025" }, { "title": "Cornell College of Veterinary Medicine partners with AI-powered scribe VetRec", "url": "https://www.dvm360.com/view/cornell-college-of-veterinary-medicine-partners-with-ai-powered-scribe", "date": "Nov 06, 2024" } ], "launches": [ { "id": 78834, "title": "VetRec - AI scribe for veterinarians", "tagline": "Automate SOAP notes for veterinarians in less than a minute after a visit.", "body": "# TLDR;\n\n[VetRec](https://vetrec.io/) is helping veterinarians automate the process of note-taking in a matter of seconds by generating SOAP-style notes with AI immediately after each visit. No need to use any awkward dictation software or manually input notes anymore!\n\nVetRec notes follow any desired template. Whether it’s generic SOAP notes for general practice, notes tailored for emergency doctors, specialists, equine, and more. Templates are completely customizable to tailor the clinic or veterinarian’s notes style.\n\n# **The Problem 😓**\n\nVeterinarians are swamped with notes. Normally two things happen:\n\n1. The Veterinarian spends the consultation looking at a screen to input notes and making sure they are correct **while attending a pet in the room**, making the pet and owner anxious.\n2. They try to memorize the notes from the consultation and spend countless hours after the day writing them out. This leads to burnout, getting home late, and sometimes forgetting details (which is expected given the amount of work vets do daily!)\n\n# **The Solution 🐶🐱**\n\nEnter [VetRec](https://vetrec.io)\n\n![uploaded image](/media/?type=post&id=78834&key=user_uploads/1362703/be00e103-a6f6-4506-9509-a5bc4748b8ef)\n\nVetRec helps the veterinarian focus on the pet and not on the notes. By recording a consult, VetRec’s AI technology listens and processes an entire consult (no matter how long!) and after the visit, generates SOAP notes (in whatever format the Vet likes) in less than a minute!\n\n![uploaded image](/media/?type=post&id=78834&key=user_uploads/1362703/ed7433ee-1ae1-43cc-bd65-1de320fd1807)\n\nIn addition, VetRec helps both the veterinarian and practice managers generate discharge notes, summaries, and insight into what went on during the visit:\n\n* What medications were administered?\n* What sort of consent was granted by the owner?\n* What are the most common cases and differential diagnoses provided?\n\nWhen using VetRec, veterinarians can finish their work at work, and focus exclusively on the pet during consultations.\n\nThe vet’s best friend has arrived ;)\n\n# **About us 🇻🇪🇨🇷🤖**\n\n[Kevin](https://linkedin.com/in/pkevincohen) and [David](https://linkedin.com/in/ddematheu), come from Venezuela and Costa Rica respectively and have a deep passion for technology. You will find both of them building prototypes to automate tennis court reservation systems or pursuing their passion for cooking. Both of them spent 6+ years in Microsoft building large-scale Data & AI platforms.\n\nHaving veterinarian family members and friends, they often heard the struggle of keeping up with the demands of visits and finishing notes on time after each day. After building AI tools for developers for the past 5 months with their previous idea, they decided to switch and apply the learnings to build a product that would solve this problem.\n\nAfter **launching just two months ago, 100+ veterinarians are using VetRec** and saving hundreds of hours on note-taking processes.\n\n# **Ask**\n\nIf you know any veterinary professionals, tell them about VetRec. We help save hours in their day, so they will thank you for the referral.\n\nIf you are a veterinary professional, get started today. VetRec is free to try for two weeks, head on to to sign up or email [hello@vetrec.io](mailto:hello@vetrec.io) for information.", "url": "https://www.ycombinator.com/launches/KVW-vetrec-ai-scribe-for-veterinarians", "votes": 20, "created_at": "2024-02-28T01:01:49.938Z" } ] }, { "id": 28894, "name": "Lysto", "slug": "lysto", "former_names": [ "Bazaar", "Awning AI", "Lysto AI", "Lysto", "Airfront" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/336295daf8150faf71325baedaf8bd8b2bbe42db.png", "website": "https://lysto.ai/", "all_locations": "New York City, NY, USA", "long_description": "Set up in minutes, then let Lysto drive your revenue growth with automatic insights, intelligent answers, and zero busy work.", "one_liner": "Revenue intelligence platforms for startups", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1725912013, "tags": [ "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lysto", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/lysto.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lystoyc", "x_url": "https://x.com/LystoAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/336295daf8150faf71325baedaf8bd8b2bbe42db.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 864720, "full_name": "Kyle Archie", "title": "Founder", "founder_bio": "CEO @ Lysto\n\n- Pre-ChatGPT LLM product research @ Facebook\n- Led Conversational AI and IMU Gestural Interface teams @ Meta\n- Two patents in Conversational AI\n- Computer Science @ Stanford\n- Owns too many Rubik's Cubes", "is_active": false, "linkedin_url": "https://linkedin.com/in/kylearchie", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a211d7d4527791a2a205d4ebab7d53f9bc6f4432.jpg" }, { "user_id": 1487400, "full_name": "Manuel Diaz-Granados", "title": "Founder", "founder_bio": "Engineer @ Rain\n\n- CTO @ Lysto AI\n- Ads Web Team @Rokt (Series D): Developed ML pipeline integrations optimizing 100M+ in ad traffic\n- Enrichment Team @ Tripod AI: Processed 500+ images/sec with 20+ ML models for Flickr, Yahoo & Verizon\n- M.S. in ECE @ Carnegie Mellon: Published research in cloud computing, big data & computer vision", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/manuel-dg/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d44ece29d50d294154c65c8ebae4b1bc7d6ed123.jpg" }, { "user_id": 642686, "full_name": "Egor Gagin", "title": "Founder", "founder_bio": "Co-founder of Awning AI. Previous led AR/VR products at Meta, and a personalized, automated anxiety therapist at a digital health startup. Worked in banking in a past life, and grew up in Canada.", "is_active": false, "linkedin_url": "https://linkedin.com/in/egorgagin", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/feebd837182eda5f5b4073c4240f6750f329ea64.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28899, "name": "Maintouch", "slug": "maintouch", "former_names": [ "Hidden Hand", "Camber", "maintouch" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8503fa1fa8dc82e542107db7db1968d3e8c1d09b.png", "website": "https://maintouch.com/?utm_source=bookface&utm_medium=social&utm_campaign=profile", "all_locations": "New York City, NY, USA", "long_description": "We help you turn SEO and AEO into your best growth channel. I grew up working at my family's 9-figure SEO agency and learned how to automate everything. That's what we do for people now.", "one_liner": "Make more $$$ with SEO and AEO", "team_size": 15, "industry": "B2B", "subindustry": "B2B", "launched_at": 1690571664, "tags": [ "Marketing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/maintouch", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/maintouch.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/maintouch", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8503fa1fa8dc82e542107db7db1968d3e8c1d09b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 396461, "full_name": "Bennett Cohen", "title": "Founder", "founder_bio": "you're probs here from clicking on a post abt seo. trying to be helfpul with all that and share learnings, but working on https://maintouch.com/ if u wanna talk seo/geo/organic marketing.\n----\n\nPrev Founder @ Camber. \n\nEnd-to-End Machine Learning. Berkeley IEOR (2x)\n\nPrevious: 250+% season ROI sports betting hedge fund.\n\nLove snowboarding, design, and awesome UX.", "is_active": true, "linkedin_url": "https://linkedin.com/in/bennett-cohen-95ab49132", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/94dd7ae955221a6ffc939193991a08119b4a5b60.jpg" } ], "jobs": [ { "id": 93011, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/maintouch/jobs/lzBZeVR-founding-account-executive", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100 - $150", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97629, "title": "Founding Sales Development Representative (SDR)", "url": "https://www.ycombinator.com/companies/maintouch/jobs/YQpARzo-founding-sales-development-representative-sdr", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80 - $120", "equity_range": "0.01% - 0.10%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 73645, "title": "✨ 🫴 Hidden Hand: AI-powered client intake for law firms", "tagline": "Faster intake, less labor, better advocacy.", "body": "Hi everyone, I’m Bennett from [Hidden Hand](https://hiddenhand.io).\n\n**TLDR: Hidden Hand uses AI to reduce client intake time by 30%, allowing law firms to focus on providing better advocacy for all their clients.**\n\n# \n\n# **The Problems**\n\nThere are \\~450,000 law firms in the US, many of which are _boutique_ law firms that focus on one practice area, like personal injury or workers’ compensation.\n\n* **Client Intake Bottleneck**: The key bottleneck is their client intake process - efficiently identifying suitable clients and onboarding them with contracts, insurance, documents, etc.\n* **Importance of Empathy:** Lawyers are here to help people. Nobody wants a robot to represent them. Empathy and human connection are crucial to signing and keeping a client.\n* **Antiquated Tech, Low-Risk Appetite:** Law firms are built on outdated technology, which translates to outdated workflows. Many are hesitant to change systems because of the importance of the human side of law.\n\n# **AI + Human = Better Advocacy**\n\nHidden Hand provides a hybrid solution that combines the best parts of both automated intake and human-led intake to increase speed without sacrificing human connection.\n\n* **Offload easy tasks to AI:** We build customized messaging chatbots and beautiful intake forms for tasks that don’t require human involvement. Don’t worry, we always give clients the ability to talk to a real human. _Less labor, more time for what matters._\n\n ![uploaded image](/media/?type=post&id=73645&key=user_uploads/396461/f19dc744-87be-413e-9ca2-ee5c807ce40e)\n\n* **Automated communication**: Hidden Hand can automatically follow up with clients to get any missing information via text or email. Messages are automatically connected to any case management software, and everything is kept in one place.\n\n ![uploaded image](/media/?type=post&id=73645&key=user_uploads/396461/1e026afd-2d30-4f12-8a1f-e94e9eb55ee1)\n\n* **Automatic Data Entry:** Instead of manually entering information into case management software, we can extract data or documents from conversations, and automatically enter it, saving hours for paralegals. Most importantly, _we maintain the security and privacy of these conversations under attorney-client privilege_ in accordance with the American Bar Association (ABA) guidelines.\n\n ![uploaded image](/media/?type=post&id=73645&key=user_uploads/396461/1fd844f2-8669-4615-9537-e2a48941aa72)\n\n\n# **Backstory**\n\nI’m Bennett, founder of Hidden Hand. My background is in building end-to-end machine learning systems for reliable decision-making.\n\n![uploaded image](/media/?type=post&id=73645&key=user_uploads/396461/b820a52f-ff66-4d60-a65f-6cfc0cc791a6)\n\n### Sports Betting Fund (250% Returns)\n\nPreviously, I had a sports betting fund that earned 250%+ returns each NBA and MLB season for the last few years. I decided to license my algorithms out to a large-cap betting group that is able to move a lot more investments without being limited in the US.\n\n### I’m Not a lawyer, but…\n\nJust about everyone in my family is a lawyer (parents, brothers, uncles, cousins). I’ve spent my whole life listening to the marketing and operations of boutique firms.\n\nMy expertise in machine learning + boutique firms made this a super clear direction to go down. **I might not be a lawyer, but I am the engineer in the family who can help them be more efficient.**\n\n# **Hidden Hand’s Ask**\n\n1. If you work at a boutique firm and know the struggles of client intake, [book a demo with us](https://calendly.com/bennett-cohen/hidden-hand-demo)! We want to help save 30% on intake time.\n2. If you know somebody at a boutique firm, share us with them! We want to solve their problems.\n\nBook a demo [HERE](https://calendly.com/bennett-cohen/hidden-hand-demo) or request one at !\n\n\\-BC ✨ 🫴", "url": "https://www.ycombinator.com/launches/J9p-hidden-hand-ai-powered-client-intake-for-law-firms", "votes": 84, "created_at": "2023-08-01T15:27:19.855Z" } ] }, { "id": 28900, "name": "Epsilla", "slug": "epsilla", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a2a1e40bf12e61df1ea8d4d6a4f8b7691ac3982f.png", "website": "https://www.epsilla.com/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Epsilla is an all-in-one platform for building AI agents powered by your private data and knowledge. Easy to use for domain professionals, deeply customizable for AI experts, and fully equipped for enterprise customers with security, scalability, and integration.", "one_liner": "All-in-one platform to create AI agents with your private knowledge", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1687398753, "tags": [ "SaaS", "Infrastructure", "AI", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/epsilla", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/epsilla.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/epsilla/", "x_url": "https://twitter.com/epsilla_inc", "fb_url": "https://www.facebook.com/Epsilla-101648343029200", "cb_url": null, "github_url": "https://github.com/epsilla-cloud/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a2a1e40bf12e61df1ea8d4d6a4f8b7691ac3982f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f684a445e68e17098c7b485b86f0971629d143cc.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ef792393c19d6a025f86bdc862636cd3d194ab3e.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 14642, "full_name": "Richard Song", "title": "Founder", "founder_bio": "Richard Song is the Co-Founder and CEO of Epsilla. Before Epsilla, Richard was the Senior Director of Cloud Engineering at TigerGraph, led the team to build the DBaaS offering of TigerGraph's graph analytics platform. In addition to this, Richard led the team to build a suite of tools designed to empower developers, data scientists, and DevOps teams, enabling them to extract value from TigerGraph.", "is_active": true, "linkedin_url": "https://linkedin.com/in/renchu-song-a4099247", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/efd8878b92658ca4f156698b03dbc7fa22580f5c.jpg" }, { "user_id": 1378779, "full_name": "Ricki Qin", "title": "Founder", "founder_bio": "Ricki Qin is the Co-Founder of Epsilla. Before Epsilla, Ricki was the Engineering Manager in Cloud team at TigerGraph, led the team to build the Cloud Portal. Ricki has 5 years experience in the database industry, helped to build a suite of tools designed to empower developers, data scientists, and DevOps teams.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jing-qin-48a4baa4", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bf236ad8ca1ac9aefa6cdfd915d5f8b586d59301.jpg" }, { "user_id": 1378751, "full_name": "Eric Yang", "title": "Founder", "founder_bio": "Eric is the Co-Founder of Epsilla. Before Epsilla, Eric was the Architect of Tigergraph Cloud. Eric has 10+ years experience in Cloud Infrastructure with deep insight of System Relability and Scalability.", "is_active": true, "linkedin_url": "https://linkedin.com/in/eric-yang-a4a743271", "x_url": "https://x.com/eric_epsilla", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2cb278dd724352b939feb5cb82048fdaa03927e6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 122233, "title": "UHP: Unified Harness Protocol by HarnessRouter", "tagline": "An open standard for running complete agent harnesses as your product's backend, now officially adopted by Qoder by Alibaba", "body": "**TL;DR:** We're launching the Unified Harness Protocol (UHP), an open standard (Apache 2.0) for running complete agent harnesses as your agent product's backend. Qoder by Alibaba now officially supports UHP. Integrate once, and Qoder, Codex, Claude Code, Hermes and 20+ agent harnesses become your product's backend through one contract. No harness engineering required.\n\n\\*\\*Stop building the agent backend. Focus on your product.\\*\\*\\\nYou don't need LangChain, an agent SDK, or a managed agent platform to build your agent's backend. Instead of building your own agent loop, tool execution, sandbox, orchestration, and tracing, plug in a pre-built, configurable harness like Qoder, Codex or Claude Code as your backend. Every task runs in an isolated sandbox, is orchestrated across harnesses, and is fully traced. Tailor your tools, plugins and skills, and focus on your product.\n\n![uploaded image](/media/?type=post&id=122233&key=user_uploads/14642/185decdc-9d10-47be-965c-5f24336a39bf)\n\n**The problem:** A harness is a complete agent runtime that plans, calls tools, edits files and reports back. Every harness already knows how to do the work. What none of them agree on is how a product should drive one: how to start a task, follow its progress, continue it, cancel it, get the files it produced, and understand why it failed.\n\nThat's an N×M problem: N products times M harnesses, each pair wired up by hand. So most teams end up building their own harness instead, and spend months on harness engineering before shipping a single feature.\n\n**What UHP is**\n\n* An HTTP contract. You send a task and get back a running agent, results and files. The unit is a job, not a completion.\n* Shaped like the OpenAI Responses API, so existing SDKs, streaming parsers and UI code work with no changes.\n* Versioned spec, OpenAPI schema, and a conformance suite with 95 runnable checks that defines what \"conformant\" means.\n* No hosted service required: a conformant server can run entirely on your own machine with your own keys.\n\n**Qoder by Alibaba adopts UHP:** Qoder now officially supports UHP, so you can use it as a pre-built, configurable agent harness for your product. Instead of building your own agent loop, tool execution, sandbox, orchestration, and tracing, you get a complete backend: Qoder reads files, runs commands, and delivers finished work, from generated files to completed actions. Every task runs in an isolated sandbox, is orchestrated through HarnessRouter, and is fully traced. Build your frontend and let Qoder handle your users' tasks.\n\n![uploaded image](/media/?type=post&id=122233&key=user_uploads/14642/7be585c9-451d-4618-bd89-1bbf42951eb2)\n\n\n**Run it:** HarnessRouter is the open-source UHP server, and HarnessRouter Cloud runs it for you. You build the frontend; the harness is your backend.\n\n**Links**\n\n* Spec: [unifiedharnessprotocol.org](http://unifiedharnessprotocol.org)\n* Repo: [github.com/HarnessRouter/harnessrouter](http://github.com/HarnessRouter/harnessrouter)\n* Cloud: [harnessrouter.ai](http://harnessrouter.ai)\n\n**Our ask:** If you build agent harnesses, implement UHP and run the conformance suite. If you're building an agent product, skip the harness engineering: use Qoder as your backend through HarnessRouter and tell us which harness you want next.", "url": "https://www.ycombinator.com/launches/VnV-uhp-unified-harness-protocol-by-harnessrouter", "votes": 4, "created_at": "2026-10-14T22:11:14.980Z" }, { "id": 111172, "title": "HarnessRouter: Open-Sourcing the World’s First Unified Interface for Agent Harnesses and the Unified Harness Protocol", "tagline": "Plug Codex, Claude Code, and Hermes into your backend on your own infrastructure. Introducing the Unified Harness Protocol (UHP), an open standard for connecting applications to different agent harnesses.", "body": "Hey everyone 👋 Three weeks ago, we[ launched HarnessRouter here on YC](https://www.ycombinator.com/launches/RpL-harnessrouter-bring-the-world-s-best-ai-agents-into-your-app-with-one-api) with one promise:\n\nBring the world’s best AI agents into your app, with one API.\n\nToday, we’re opening the layer underneath that promise.\n\nWe’re releasing HarnessRouter Community Edition and the Unified Harness Protocol (UHP). You can now run Codex, Claude Code, and Hermes as your product’s backend on infrastructure you control, using the same API contract as HarnessRouter Cloud.\n\n**TL;DR：**\n\nHarnessRouter is the world’s first unified interface for agent harnesses.\n\nYour product sends a task through one agent API. HarnessRouter runs the supported harness you choose and returns completed work, including files, artifacts, progress, and results.\n\nSessions, streaming, cancellation, and failure handling follow the same contract across Codex, Claude Code, and Hermes. You can add or switch a supported harness without rebuilding your product integration.\n\n🎥[ Watch the launch video](https://www.youtube.com/watch?v=iqrfCBrb6zY)\n\n### **Why agent harnesses aren't infrastructure yet**\n\nAn agent harness is the runtime layer around a model. It executes tasks, uses tools, manages sessions and files, streams progress, and returns completed work.\n\nHistorically, product teams built this layer themselves: task execution, session management, streaming, file and artifact handling, and error recovery, then maintained everything as models and tools evolved.\n\nNow frontier labs and open-source communities are building increasingly capable harnesses. Codex, Claude Code, Hermes, and DeepSeek Harness are examples. But they're still seen as coding tools rather than reusable infrastructure, so teams keep rebuilding this layer in-house. Just as product teams don't build their own databases, they shouldn't have to build their own harness layer either.\n\nEven teams that do adopt an existing harness hit the next obstacle: every harness works differently, so each new product-harness pair needs its own integration. We call this the N×M harness problem. In practice, it becomes harness lock-in: teams stick with the first harness they integrated, even when better or cheaper options exist.\n\nWe asked a simple question: what if agent harnesses became plug-and-play infrastructure that any product can build on?\n\nPlug-and-play means you integrate once, run any supported harness, and switch anytime a better or cheaper one ships.\n\nThat is what HarnessRouter makes possible.\n\n### **What we’re open-sourcing**\n\nWe’re releasing two core components under the Apache License 2.0:\n\n* **Unified Harness Protocol (UHP):** UHP is an open standard that gives different agent harnesses a shared execution contract. This release includes a versioned specification, schemas, and a conformance suite covering harness configuration, task execution, progress, sessions, files, cancellation, errors, and results.\n* **HarnessRouter Community Edition:** The self-hosted implementation of UHP. Gateway, Runner, and Console ship in a single Docker container. It runs Codex, Claude Code, Hermes, and more through one API and passes the full UHP conformance suite.\n\n![uploaded image](/media/?type=post&id=111172&key=user_uploads/14642/2bea0a11-8aba-49c5-9a85-112001854d96)\n\nYour model-provider credentials, application state, and files remain under your control. Model calls still go to the providers you configure.\n\nMCP connects agents to tools. UHP covers a different boundary: how an application drives a complete agent harness and receives its full execution lifecycle.\n\n### **Start self-hosted. Scale with Cloud when you’re ready.**\n\nHarnessRouter Community Edition and HarnessRouter Cloud implement the same UHP contract, so one integration works for both. Start self-hosted on infrastructure you control, or scale into Cloud when you're ready.\n\nHarnessRouter Cloud provides agent harness as a service (HaaS): fully managed harnesses with serverless execution in isolated sandboxes, so teams can scale concurrent runs without operating sandbox capacity themselves.\n\n### **Agent harnesses can do more than write code: runnable examples**\n\nWe also released a **Starter Kit** with runnable applications that show an end-to-end Community Edition integration.\n\nOne example puts a harness behind an Excel column so each row can trigger agent work. Other examples cover presentations, dashboards, and video generation.\n\n![uploaded image](/media/?type=post&id=111172&key=user_uploads/14642/914297fb-2588-4d8a-9a3b-37d39d82bae7)\n\nAgent harnesses can do much more than write code. We want the Starter Kit to show what becomes possible when you put them inside products.\n\n![uploaded image](/media/?type=post&id=111172&key=user_uploads/14642/f4cff64a-7539-41b3-804e-fa5ee53d77bd)\n\nStarter Kit components are available under their applicable licenses.\n\n### **Choose harnesses in production with evidence**\n\nWe benchmarked eight Harness × Model configurations on the same task and input. Cost varied by 475× and latency by 3.2×. Even with the model fixed, changing the harness moved cost by 1.5–2.1× and latency by up to 1.95×.\n\nHarness selection is a task-level production decision, not a one-time choice. HarnessRouter helps teams compare configurations on their own workloads. This was one controlled test, not a universal ranking; we published the methodology, results, and limitations.\n\n### **What teams are already building**\n\nTeams are using HarnessRouter in very different settings:\n\n* 🏥 Stanford Medicine is connecting its operational data through a shared agent layer, an “academic brain” for the organization.\n* ✅ Readily.ai encodes domain expertise into agent skills and can move a new agent from problem and plan to production within 24 hours.\n* 🎬 Spira.ai drives its generation pipeline through HarnessRouter.\n* 🪄 hibo.ai uses HarnessRouter to execute and evaluate agent skills.\n\n### **Why we built it**\n\nWe’re Kuanze Ma and Richard Song, the co-founders of HarnessRouter.\n\nKuanze is a four-time founder focused on human-AI systems. Richard has spent more than a decade building large-scale systems, including at TigerGraph and Meta.\n\nWe both worked on agent systems before HarnessRouter. We kept seeing product teams rebuild the same application-to-harness layer, so we decided to turn that layer into shared infrastructure.\n\n### **What we want from you**\n\n* If you build an agent harness or already maintain your own runtime, read UHP and tell us where it is wrong. Which parts should be standardized, and which should remain harness-specific? That comparison is worth more to us than a signup.\n* Try the Community Edition Quickstart on a clean machine. Tell us where it breaks or where the execution lifecycle is incomplete.\n* If your compliance requirements prevent you from using a hosted agent runtime, try Community Edition on infrastructure you control.\n* If you want to contribute, we use a proposal-before-code process. Describe the problem, your proposed change, and its expected impact. You do not need to arrive with a finished implementation.\n* Intros are welcome to teams shipping agent-powered features that do not want to own another backend.\n\n### **Run it yourself**\n\n* [Open-source repository](https://github.com/HarnessRouter/harnessrouter)\n* [Unified Harness Protocol](https://unifiedharnessprotocol.org)\n* [Starter Kit](https://github.com/HarnessRouter/starter-kit)\n* [Benchmark and methodology](https://harnessrouter.ai/benchmarks)\n* [Docs and HarnessRouter Cloud](https://harnessrouter.ai)\n\nReach us at [contact@harnessrouter.ai](mailto:contact@harnessrouter.ai).", "url": "https://www.ycombinator.com/launches/Sv6-harnessrouter-open-sourcing-the-world-s-first-unified-interface-for-agent-harnesses-and-the-unified-harness-protocol", "votes": 6, "created_at": "2026-08-17T22:23:24.250Z" }, { "id": 106971, "title": "HarnessRouter: Bring the World's Best AI Agents Into Your App, With One API", "tagline": "One API that puts Codex, Claude Code, Hermes, and more behind your product, so your users get real output: videos, games, code, documents.", "body": "Hey everyone 👋 Today we're introducing HarnessRouter.\n\n**TL;DR:** HarnessRouter lets builders bring Codex, Claude Code, Hermes, and other agents into your products through one API. Each task runs in an isolated sandbox with step-by-step tracing and configurable cost caps. It's designed to scale from consumer apps to large-scale model evaluations, orchestrating thousands of isolated sandbox runs in parallel. Start with our [AGENTS.md](https://harnessrouter.ai/agents.md), drop it into your coding agent, describe want you want to build, add an API key, and ship without rebuilding agent runtime infrastructure.\n\n**Try it now:** [harnessrouter.ai](http://harnessrouter.ai?utm=yc)\n\n\n\n## **The Problem**\n\nThere's a gap between what AI agents can do and what your product can offer.\n\nAgents like Codex and Claude Code can genuinely finish work now, but they're built for developers, not for your users. Bringing that capability to your users inside your own product means building the infrastructure yourself: isolated execution environments, agent runtime, tool orchestration, file handling, streaming, retries, permissions, cost controls. Every team building an AI feature rebuilds this same stack from scratch, and it takes months. After launch, the upgrades and maintenance never stop.\n\nAs a result, most teams ship a chat interface instead, when what users actually need is finished output.\n\n## **The Solution**\n\nHarnessRouter runs the entire agent stack as a service. Your product sends a task through one API; We run it on the agent you choose and return the result in structured, renderable form: reviewable diffs, generated files, images, video, confirmed tool actions.\n\nTeams are already running production workloads on it:\n\n* 🏥 A top medical research institution is connecting its operational data into a unified agent layer, an \"academic brain\" for the organization.\n* ✅ A leading healthcare compliance company encodes domain expertise into agent skills, saving their clients hundreds of hours of manual work per audit.\n* 🎬 An AI video marketing startup drives its content generation pipeline through HarnessRouter, producing viral-grade video at human quality.\n\nIntegration takes three steps: drop our [AGENTS.md](https://harnessrouter.ai/agent.md) into your coding agent, describe the feature you want and add your API key. Switching agents is a one-line configuration change, and the same setup scales from a single task to thousands of concurrent runs.\n\n## **Who We Are**\n\n**Kuanze Ma, Co-founder**\\\nKuanze is a four-time founder focused on human–AI systems, with experience in systems design, product management, algorithms, recruiting, marketing, and engineering. He holds a BSc in Mathematics, a diploma in Software Engineering, and an MSL from Northwestern University.\n\n**Richard Song, Co-founder**\\\nRichard has over a decade of experience building large-scale systems, including vertical AI agents powered by private data and domain knowledge. Previously, he was a Senior Director at TigerGraph and a Senior Software Engineer at Meta. He holds an MS in Computer Science from Cornell University and a BS in Computer Science.\n\n## **Our Ask**\n\n* **If you're building an AI feature**, start with the free 7-day trial. We'll help you integrate.\n* **If you need to run thousands of agents in parallel**, for model evaluations, batch generation, or large-scale pipelines, that's what the sandbox orchestration layer was built for. Talk to us.\n* **If you've built your own agent infrastructure**, we'd value the comparison. Tell us what we're missing.\n* **Intros welcome** to any team that wants to ship agent-powered features without building the backend.\n\nReach us at [contact@harnessrouter.ai](mailto:contact@harnessrouter.ai)", "url": "https://www.ycombinator.com/launches/RpL-harnessrouter-bring-the-world-s-best-ai-agents-into-your-app-with-one-api", "votes": 29, "created_at": "2026-07-23T13:44:28.619Z" }, { "id": 99723, "title": "ClawTrace — Make Your OpenClaw Agent Better, Cheaper, and Faster", "tagline": "The observability platform for OpenClaw agents: execution traces, cost analysis, and Tracy, your OpenClaw's doctor agent.", "body": "## 🚀 TL;DR\n\n[ClawTrace](https://clawtrace.ai?utm=yc) is the observability platform for OpenClaw agents. It captures every trajectory your OpenClaw agent runs — every LLM call, tool use, and sub-agent delegation — and gives you three views to understand it: an execution path, a call graph, and a timeline. When you need answers fast, ask Tracy, your built-in AI analyst, in plain English. Watch our demo [here](https://youtu.be/-moG7vCkawQ?si=ivl7Utv3h7ynv5rb):\n\n—\n\nHello, world! I'm Richard, and today I'm excited to introduce **ClawTrace** — the observability platform for OpenClaw agents.\n\nAI agents are going to production. But right now, when something goes wrong, you're flying blind.\n\n## ❌ The Problem\n\nDeploying an OpenClaw agent is easy. Understanding what it actually did is not.\n\nWhen a run costs $104.70 instead of the usual $1.5, you have no idea why. When an agent fails silently, you don't know which step broke or what input caused it. When a trajectory takes 3 minutes instead of 30 seconds, you can't tell where the time went. You end up reading raw JSON logs, manually counting token estimates, and guessing at execution paths. This doesn't scale.\n\nExisting options make this worse, not better:\n\n* **General distributed tracing tools** (Jaeger, Zipkin, Datadog) weren't built for LLM concepts — they have no understanding of token counts, model costs, prompt/completion pairs, or sub-agent hierarchies.\n* **Framework-specific tools** like LangSmith only work within their own ecosystem. If you're on OpenClaw, you're on your own.\n* **Point solutions** cover one slice of the problem — just logs, just cost tracking, just evals — and leave you to stitch everything together yourself.\n* **Every tool** dumps data into a dashboard and expects you to interpret it. There's no analyst. You still have to do all the thinking.\n\n## ⭐️ Our Solution\n\nWe built ClawTrace to give you complete visibility into every OpenClaw agent run — automatically, with zero code changes to your agent.\n\nOne plugin. Three commands. Every trajectory captured.\n\n```bash\nopenclaw plugins install @epsilla/clawtrace\nopenclaw clawtrace setup\nopenclaw gateway restart\n```\n\nThat's it. From that point on, every agent run streams to ClawTrace automatically.\n\n**With ClawTrace, you get:**\n\n* **Execution Path** — a collapsible tree of every step your agent took: LLM calls, tool executions, sub-agent delegations, with full input and output payloads at every node. Metadata badges show model name, duration, token counts, and estimated cost inline.\n\n ![uploaded image](/media/?type=post&id=99723&key=user_uploads/14642/d592e3b7-c8d3-4f7c-b71d-a27037551bba)\n\n* **Call Graph** — an interactive force-directed diagram showing the relationships between every agent, model, and tool in a run. Understand the shape of a complex multi-agent workflow at a glance.\n\n ![uploaded image](/media/?type=post&id=99723&key=user_uploads/14642/e81258a7-05d0-4c5d-be9a-0ef944b72329)\n\n* **Timeline** — a Gantt chart of every span in the trajectory, positioned by start time and sized by duration. Bottlenecks, parallelism, and idle gaps become immediately visible.\n\n ![uploaded image](/media/?type=post&id=99723&key=user_uploads/14642/bf94f46d-90e6-4ea4-8b1e-2971ad79af85)\n\n* **Tracy, your OpenClaw’s Doctor** — every other observability tool gives you data and expects you to figure it out yourself. Tracy is different. Ask her a question in plain English — _\"where is the bottleneck in this trace?\"_ — and she queries your trajectory graph live, generates a visualization, and delivers specific recommendations: which step to fix, why, and how. Tracy is powered by a Claude managed agent and has real-time Cypher access to your full trajectory graph via PuppyGraph graph lake-house architecture.\n\n ![uploaded image](/media/?type=post&id=99723&key=user_uploads/14642/7cb3bad9-86b3-4795-b761-75b7a390ce62)\n\n* **Cost Estimation** — per-span cost calculation covering 80+ models across OpenAI, Anthropic, Google, DeepSeek, Mistral, Alibaba Qwen, Zhipu GLM, Moonshot, and more. Cache-aware pricing (fresh input vs. cached input vs. output tokens) for accurate estimates.\n* **Consumption-based billing** — pay for what you use with credits. No seat fees, no per-user pricing. Start with 100 free credits.\n\n## 🔦 The Ask\n\nAI agents are moving from demos to production. ClawTrace is the observability layer that makes that transition safe, debuggable, and cost-efficient.\n\n* 🚀 **Sign up for free** at [clawtrace.ai](http://clawtrace.ai) — 100 credits included, your first trajectory shows up in minutes.\n* ⭐ **Star us on GitHub** — ClawTrace is fully open source under Apache 2.0: [github.com/epsilla-cloud/clawtrace](https://github.com/epsilla-cloud/clawtrace)\n* 💬 **Tell us what you're building** — we'd love to hear about your OpenClaw setup and what observability problems matter most to you. [Schedule a call with me](https://epsilla-ai.sg.larksuite.com/scheduler/dc6a62e558c3a1cc).", "url": "https://www.ycombinator.com/launches/PwR-clawtrace-make-your-openclaw-agent-better-cheaper-and-faster", "votes": 12, "created_at": "2026-04-14T15:34:37.032Z" }, { "id": 84075, "title": "Epsilla — Ship production-ready AI agents on day 1", "tagline": "All-in-one platform to create AI agents with your private data and knowledge.", "body": "### **🚀 TL;DR**\n\n[Epsilla](https://www.epsilla.com/) is an all-in-one platform for building AI agents powered by your private data and knowledge. Easy to use for domain professionals, deeply customizable for AI experts, and fully equipped for enterprise customers with security, scalability, and integration. Watch our demo [here:](https://www.youtube.com/watch?v=ZhBPsxr2AL0)\n\n---\n\n—\n\nHello, world! We are Richard, Eric, and Ricki. Today, we are super excited to introduce Epsilla, the all-in-one platform for creating AI agents with your private data and knowledge.\n\n### **❌ The Problem**\n\nBuilding a prototype AI agent is easy, but creating production-level AI agents with private knowledge can be overwhelming. It involves managing LLMs, prompt engineering, tool usage, memory management, vector databases, RAG (Retrieval-Augmented Generation), evaluation, and more.\n\nExisting AI agent-building products in the market are:\n\n* Either developer-facing tools that require a significant amount of engineering work;\n* Or lacking depth in customization and flexibility, limiting the final agent's performance and quality;\n* Or just focus on only one small aspect of the problem—such as prompt engineering, workflow, retrieval, evaluation, or hosting—leaving builders to handle the heavy lifting of integrating these components into a cohesive system.\n\n### **⭐️ Our Solution**\n\n![uploaded image](/media/?type=post&id=84075&key=user_uploads/14642/83e9fd99-cf4a-473a-b1ac-57f4935ff4dc)\n\nWe have reimagined the AI agent platform from the ground up and developed an all-in-one solution for creating, iterating, and operating AI agents—without writing a single line of code.\n\nWith Epsilla, you can:\n\n* Build high-quality knowledge bases from diverse data sources, including uploaded files, websites, Google Drive, Notion, cloud storage, and more.\n* Deeply customize AI agents with options for appearance, prompt tuning, workflow customization, and advanced, modular, agentic, and graph-based RAG.\n* Evaluate agent performance, monitor user engagement, and manage user feedback.\n* In addition to providing an out-of-the-box ChatGPT or Perplexity-like UI, we also allow developers to use the agents as their application backend via REST API.\n* Epsilla seamlessly integrates with a growing set of Large Language Model providers, allowing you to choose the best model at any stage of the knowledge base and agent workflow to balance quality, latency, and cost.\n\n### **🔦 The Ask**\n\nThousands of GenAI builders, along with dozens of enterprises and SMBs across various industries, are already building their AI agents on Epsilla. We hope to see you join them soon!\n\n* Sign up for FREE at to build your first AI agent within 10 minutes!\n* Let’s talk about your use case! Schedule a meeting with us [here](https://epsilla-ai.larksuite.com/scheduler/4aca8159d1224454).\n* Join our community with us on [Discord](https://discord.gg/cDaY2CxZc5) and share what you built on Epsilla!", "url": "https://www.ycombinator.com/launches/Ls3-epsilla-ship-production-ready-ai-agents-on-day-1", "votes": 35, "created_at": "2024-09-17T16:47:45.508Z" }, { "id": 73587, "title": "Epsilla - A 10x faster open source vector database", "tagline": "The information retrieval foundation for the next generation of AI applications", "body": "### **🚀 TL;DR**\n\nEpsilla is an open-source vector database. Epsilla offers low-latency searches across billions of vectors, consumption-based database-as-a-service, comprehensive APIs, and multi-language bindings. Our team has 7 years of experience building the high-performance graph database, and our advanced ANN index leverages parallel graph traversal technology, making the vector search 10x faster.\n\n![uploaded image](/media/?type=post&id=73587&key=user_uploads/14642/801e5229-0b56-4eb5-a3fb-e5ff7d2686ec)\n\n### **❌ The Problem**\n\nWith the surge of LLMs and the evolution of AI agents for task planning and decomposition for complex tasks, a **high-performance vector database** for information retrieval and enhancing context in prompts is a **MUST**! Most vector databases utilize HNSW, and its performance significantly degrades when aiming for high search precision.\n\n### **⭐️ Our Solution**\n\nWe’ve reimagined vector search from the ground up for scalability, performance, and cost-effectiveness. We implemented the state-of-art ANN index algorithm from the academia that leverages intra-query parallel graph traversal, which outperforms HNSW by **5x** on high precision query latency on medium size (1M) vector space and outperforms HNSW by **50 times** on large-scale vector search.\n\n![uploaded image](/media/?type=post&id=73587&key=user_uploads/14642/7f276b64-0500-4286-b589-e23d339abe6d)\n\n### **🔦 The Ask**\n\n* Try us at \n* Follow our repo at \n* Connect with us on [Discord](https://discord.gg/cDaY2CxZc5)\n* Let’s talk at !", "url": "https://www.ycombinator.com/launches/J8t-epsilla-a-10x-faster-open-source-vector-database", "votes": 41, "created_at": "2023-07-31T01:45:04.471Z" } ] }, { "id": 28902, "name": "Sidenote", "slug": "sidenote", "former_names": [ "Agent", "Ube" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/949b8814325dbb3fbd3160ffb4215cc58351724a.png", "website": "https://www.sidenote.ai", "all_locations": "San Francisco, CA, USA; Stanford, CA, USA", "long_description": "Sidenote is a Chrome extension that turns meeting notes into drafted emails, calendar invites, tickets, and reminders.", "one_liner": "Meeting follow-up, automated", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1689906842, "tags": [ "Productivity", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sidenote", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sidenote.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/96152063", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/949b8814325dbb3fbd3160ffb4215cc58351724a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 969556, "full_name": "Jason Lin", "title": "Founder", "founder_bio": "Computer Science @ Stanford (Human-Computer Interaction). Led team to build the US's first vaccination tracker.", "is_active": false, "linkedin_url": "https://linkedin.com/in/jason-lin-0463ab110", "x_url": "https://twitter.com/jclin22009", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6d66477f88ba2106cd86cb0ed5f572e2c1523815.jpg" }, { "user_id": 1078742, "full_name": "Scott Hickmann", "title": "Founder", "founder_bio": "I'm a technical founder at the edge of hardware and AI, focused on building a future where creating physical products feels as immediate as creating software.\n\nI studied electrical engineering and computer science at Stanford, where I built the viral motorized couch, worked on Robosub, and developed Chirpy Cardinal at Stanford AI Lab.", "is_active": false, "linkedin_url": "https://linkedin.com/in/scott-hickmann", "x_url": "https://x.com/ScottHickmann", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5e7a21893ca419bdd8c54b7632e00af2e03f8740.jpg" }, { "user_id": 1381763, "full_name": "Schwinn Saereesitthipitak", "title": "Founder", "founder_bio": "Deep Learning Research @ Stanford AI Laboratory and NVIDIA. Ex-Cryptography Researcher @ Stanford EE.", "is_active": false, "linkedin_url": "https://linkedin.com/in/szawinis", "x_url": "https://twitter.com/szawinis", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/081e34ee3e0e7527dcab04e21cc1f8b3dc2d7b95.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73281, "title": "✍️ Sidenote: Meeting follow-up, automated", "tagline": "Sidenote is a Chrome extension that turns meeting notes into drafted emails, calendar invites, tickets, and reminders.", "body": "📝 **TLDR**: After a meeting, Sidenote’s AI copilot analyzes your notes, finishes your tedious action items, and keeps track of the rest, so that you never miss a todo. [**Try here**](http://sidenote.ai/chrome)!\n\n## ❌ **The Problem**\n\nEver forget to follow up on something you promised during a meeting? We can do it automatically for you, freeing up your mind and time.\n\n## ✨ **Our Solution**\n\n![uploaded image](/media/?type=post&id=73281&key=user_uploads/969556/d6f9f0cb-d24b-4f5b-973e-f08301f42da4)\n\n**Sidenote** takes the burden of remembering todos off your shoulders by analyzing your notes, detecting your action items, and completing them. Currently, we can:\n\n* 📅 Create a follow-up meeting for next week\n* 🗒️ Assign a task to design team in project management software\n* ✉️ Draft an email to the project team with the new deadlines\n* 🔔 Add a todo to finish my proposal\n\nWe support **Notion**, **Google Docs**, **Google Calendar**, **Linear**, and more.\n\n## 🚀 **What’s Next?**\n\nStarting with meetings, we envision Sidenote becoming your work copilot, automating all repetitive parts of your personal work. This means integrating with more platforms and allowing users to create custom automated actions for unique workflows. Request a specific automation [here](mailto:contact@sidenote.ai).\n\n## 💜 **The Team**\n\n![uploaded image](/media/?type=post&id=73281&key=user_uploads/969556/40d687f6-b94f-44ed-bdc3-e2936dff1340)\n\nWe're [**Jason**,](https://www.linkedin.com/in/jason-chen-lin/) [**Scott**](https://www.linkedin.com/in/scott-hickmann), and [**Schwinn**](https://www.linkedin.com/in/szawinis/). We met at our dorm at Stanford and have been hacking together ever since!\n\n🙏 **We Want Your Input**\n\n* Overwhelmed by meetings and todos (especially in CX)? Let's chat on [cal.com/jasonlin](http://cal.com/jasonlin)!\n* Take Sidenote for a spin at [**sidenote.ai/chrome**](http://sidenote.ai/chrome).", "url": "https://www.ycombinator.com/launches/J3x-sidenote-meeting-follow-up-automated", "votes": 70, "created_at": "2023-07-21T02:14:12.033Z" } ] }, { "id": 28907, "name": "refine", "slug": "refine", "former_names": [ "refine", "Refine" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aeaa683b72502977824eb71f47dba97607b154c0.png", "website": "https://refine.dev", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "refine is an open-source, headless React framework for rapidly building enterprise web applications. It eliminates many repetitive tasks like\r\n\r\n➡️ CRUD operations\r\n➡️ State management\r\n➡️ Routing\r\n➡️ Authentication\r\n➡️ Access Control\r\n➡️ i18n\r\n\r\nand saves days of development time.\r\n\r\nSo far, thousands of great projects have been built by 15,000+ monthly active refine developers. Use cases are ranging from admin panels, dashboards, and internal tools to B2B solutions and complex SaaS interfaces. \r\n\r\nrefine is backed by a strong community featuring 16K GitHub stars ⭐️, 180+ contributors and 2,500 Discord members. \r\n\r\nThanks to it's unique \"Headless UI\" approach, refine works with any custom design. It has also ready-made integrations with 4 most popular UI frameworks: Ant Design, Material UI, Chakra UI and Mantine. refine is totally backend agnostic and it can connect to 15+ backend services out-of-the-box, incl. custom REST & GraphQL API's.\r\n\r\nWith refine, developers always have 100% control over their projects as they build, style and deploy the way they like.\r\n", "one_liner": "Open-source Retool for enterprise", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1687469921, "tags": [ "Developer Tools", "Open Source", "Web Development" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/refine", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/refine.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/81566498/", "x_url": "https://twitter.com/refine_dev", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/refine-0e26", "github_url": "https://github.com/refinedev/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aeaa683b72502977824eb71f47dba97607b154c0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1013886, "full_name": "Civan Ozseyhan", "title": "Founder", "founder_bio": "Serial entrepreneur & Open-source enthusiast | 15+ years experience in building enterprise software | Co-founder & CEO @ refine", "is_active": true, "linkedin_url": "https://linkedin.com/in/civan-%C3%B6zseyhan-1ab48814", "x_url": "https://twitter.com/civanozseyhan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b340a4008a687e7f6a266c6157a6de4b9f1bd23.jpg" }, { "user_id": 1551538, "full_name": "Omer Aplak", "title": "Founder", "founder_bio": "Co-founder & CTO @ refine. I started my professional software career in high school and dropped out of university in my first year. Developing open-source, building communities, and helping other developers is a passion of mine", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/omer-aplak-14b87099/", "x_url": "https://twitter.com/omerfarukaplak", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ba3e72dc58607e693c5905a527be981778f0fbe1.jpg" }, { "user_id": 1018276, "full_name": "Eren Erkalkan", "title": "Founder", "founder_bio": "Previous: Worked as Head of Product, founder and CEO in the fields of e-commerce and online dating for almost 15 years. Now: Accompanying the journey of refine, which started as an open-source project in 2022. A React-based framework for the rapid development of web applications.", "is_active": true, "linkedin_url": "https://linkedin.com/in/eren-erkalkan-1b31a89a", "x_url": "https://twitter.com/piyerro", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f1f6970526ea37e6ecfe42cef96269d93bf5fdbe.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 72562, "title": "Refine - Open-source platform for rapidly building enterprise web applications", "tagline": "Dev-friendly alternative to low-code/no-code. Familiar stack, 100% control over project!", "body": "**Refine** is an **open-source**, **headless** React framework for developers building enterprise web applications. It eliminates many repetitive tasks such as\n\n➡️ CRUD operations ➡️ State management ➡️ Routing ➡️ Authentication ➡️ Access Control & ➡️ i18n\n\nand saves days of development time.\n\nAs a developer-focused alternative to existing _low-code/no-code_ enterprise tools, **Refine** allows developers to **work with the stack they are already familiar** **with** and have **100% control over their projects.**\n\nFor a quick start, you can visit\n\n* [👉 https://refine.dev](https://refine.dev) - Docs, tutorials and 100+ sample projects\n* [👉](https://refine.dev) - **12K** ⭐️\n\n### **Solution**\n\nThanks to its unique “**Headless UI**” approach, Refine works with any custom design. It has ready-made integrations with the 4 most popular UI frameworks: **Ant Design**, **Material UI**, **Chakra UI** and **Mantine**. Refine is totally backend agnostic and can connect to **15+ backend services** out-of-the-box, incl. **custom REST & GraphQL API’s.**\n\n![uploaded image](/media/?type=post&id=72562&key=user_uploads/1013886/0fe3bd00-f162-4c50-9f98-4988ad3e2779)\n\nYou can give it a try on [refine.new](http://refine.new) to see how easily you can create tailor-made projects in seconds, by combining your preferred tools and technologies.\n\n### **The Framework**\n\nInstead of being a limited set of pre-styled components, **Refine core** is a lean collection of **helper hooks**, **components**, and **providers**. They are all decoupled from UI components and business logic, so that they **never keep you from customizing your UI or coding your own flow.**\n\n### **Community**\n\n**Refine** is backed by a robust community that showcases the following metrics:\n\n⭐️ 17K GitHub stars\\\n👩‍💻 150+ Contributors\\\n💻 5,000+ Commits\\\n💬 3,000 Discord members\n\n### **Use Cases**\n\nSo far, **thousands** of great projects have been built by **15,000+ monthly active Refine developers**. Use cases include but are not limited to\n\n* Admin Panels\n* Forms\n* Dashboards\n* Storefronts\n* Internal tools\n* B2B Solutions\n* SaaS Interfaces\n\n### **What’s Next?**\n\nIn addition to our endless contributions to the open-core framework, we are also developing cloud-based products to make Refine a comprehensive platform for developers to build enterprise-grade web applications.", "url": "https://www.ycombinator.com/launches/IsM-refine-open-source-platform-for-rapidly-building-enterprise-web-applications", "votes": 100, "created_at": "2023-06-27T04:37:31.127Z" } ] }, { "id": 28911, "name": "CandorIQ", "slug": "candoriq", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/99094827db793d0b0566e8f598e87a87eb795ade.png", "website": "https://www.candoriq.com/", "all_locations": "San Francisco, CA, USA", "long_description": "CandorIQ is software to manage Headcount and Compensation planning. Employees are +70% of all OPEX and yet still managed in sheets & email. We manage all people spend in 1 platform, integrated into your Finance & HR stack.\r\n\r\nProduct capabilities include:\r\n- Headcount & backfill planning\r\n- Headcount budget scenarios across departments\r\n- Merit cycle planning\r\n- Analytics including employee churn, hiring win/loss, cash burn", "one_liner": "Headcount & Compensation Management", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1687966048, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "We each individually faced the problem of financial planning for orgs whether it as headcount spend, approvals, compensation decisions. We built custom solutions at Checkr, Blend and Slync. With our experience in HR tech, and thus we also knew the ecosystem. No solution completely solved the problem so based on our domain expertise and experience with the pain we set out to build CandorIQ" } ], "url": "https://www.ycombinator.com/companies/candoriq", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/candoriq.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/candoriq/", "x_url": "https://twitter.com/candoriq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/99094827db793d0b0566e8f598e87a87eb795ade.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1352654, "full_name": "Haris Ikram", "title": "Founder", "founder_bio": "Founder & CEO at CandorIQ. Former Head of Product at Checkr (YC) & Salesforce.\nMBA at University of Chicago, BSc of Computer Engineering at KFUPM.", "is_active": true, "linkedin_url": "https://linkedin.com/in/harisikram", "x_url": "https://twitter.com/HarisIkramH", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/123d9d9a49eafc92d7223bacd4dc8886c70a5532.jpg" }, { "user_id": 1356139, "full_name": "Sutthipong Thavisomboon", "title": "Founder", "founder_bio": "Founder & CTO at CandorIQ. Former Chief Architect at Series B Startup & Principal Engineer at Salesforce Einstein (Lead AI). MS Computer Science at Stanford University.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sutthipong-thavisomboon-4592b62", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/88ff9fcf94c9db2956d68adb6f0dd9086a32961a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 72794, "title": "CandorIQ - Headcount & compensation planning", "tagline": "Manage all people spend in 1 platform, integrated with payroll & HR stack", "body": "**TLDR;** CandorIQ helps manage headcount spend & employee compensation (including providing benchmarking data). We connect to your HR / Finance stack and provide insights, automate workflows, and allow collaboration across Finance, HR, and Management in 1 single platform.\n\nWe provide white-glove onboarding, and go live within a week.\n\n**We’re offering 50% off for 1 year for (1) software, (2) comp data & (3) FP&A/Comp Advisory.**\n\n### **❌ The Problem**\n\nPeople are the most important asset for companies and are **70-80% of the spend**. Employee turnover is **24% in 2023.** It is hard to optimize people spend balancing both, because:\n\n* Various data required from budget info to compensation benchmarking. Fragmented across spreadsheets, payroll, Captabl, slack & FP&A tools\n* All decisions require collaboration across multiple personas and departments including HR, Finance, Managers and Execs\n* Lot’s if repetitive, error prone, manual work. Companies on average spend **10 hours every month updating spend**, **1 month twice a year running merit cycles**, **4 hours generating every candidate offer**\n\n### **⚡ Our Solution**\n\nThe CandorIQ is the people spend management platform for HR, Finance & Managers to:\n\n1. **Control & Manage People Spend**\n * Headcount planning and budget management\n * Headcount, backfill, riff approval workflows\n2. **Retain & Reward top Talent**\n * Compensation Design & Merit cycles\n * Employee & Candidate Total Comp Portal\n3. **Unify Systems & Automate Work**\n * Integrated into all Payroll and HR systems\n * Analytics, reporting, automation of merit letters, candidate offers\n\nHere is a video of the product in production today: [video link](https://www.loom.com/share/1f9f7d1de326472eaad2f40a1d672ee7?sid=0130223a-55ca-4501-b181-e9b4869766fe)\n\nSee screenshot of select parts of the product:\n\nHeadcount Planning\n\n![uploaded image](/media/?type=post&id=72794&key=user_uploads/1352654/1ea210da-3539-4e2e-acda-772c40ea2bf7)\n\nEmployee Analytics\n\n![uploaded image](/media/?type=post&id=72794&key=user_uploads/1352654/b186329e-a528-4f76-86b8-5aa08377b27f)\n\nEmployee Total Compensation\n\n![uploaded image](/media/?type=post&id=72794&key=user_uploads/1352654/b27b0f4a-91a5-44c7-a08e-146b69ac6692)\n\nIn addition to the software, we also provide a global compensation data set and advisory services for FP&A planning & compensation management.\n\n### **Backstory**\n\nAs former leaders at companies like Checkr (YC S’14) and serial founders, we faced the challenge of understanding budget, pay of our existing teams so that we could optimally hire, reward, retain people. Every decision required spreadsheets, slack, email and a lot of back and forth with HR, Finance and management. This is a problem that plagued us across our experiences from Seed round to IPO. We wanted to flip the script and build a solution that is proactive, continuously updating and automated most of the work for us and other stakeholders.\n\n### **Asks**\n\n* Want to see a demo? \n* Have questions or curious to learn more: [founders@candoriq.com](mailto:founders@candoriq.com)\n\n ![](https://bookface.ycombinator.com/photos/5661.jpeg?height=800&width=800)\n\n", "url": "https://www.ycombinator.com/launches/Iw6-candoriq-headcount-compensation-planning", "votes": 27, "created_at": "2023-07-05T22:10:01.438Z" } ] }, { "id": 28920, "name": "Unhaze", "slug": "unhaze", "former_names": [ "Uncover" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f3b295b0f1bf37f84fab8ca0eb4083a223649ba.png", "website": "https://unhaze.ai", "all_locations": "Copenhagen, Denmark", "long_description": "Unhaze is a revenue optimization tool for mid-market B2B teams.\r\n\r\nUnhaze finds the leads that sales teams are most likely to close right now. We do this by analyzing previous deals and continuously monitoring for similar traits among all our collected company data.\r\n\r\nBy focusing on the right leads (at the right time!), we can almost double win rates.", "one_liner": "The right leads at the right time for B2B sales", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1689002292, "tags": [ "SaaS", "B2B", "Sales", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B", "Sales" ], "regions": [ "Denmark", "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/unhaze", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/unhaze.json", "year_founded": 2023, "city": "Copenhagen", "country": "DK", "linkedin_url": "https://www.linkedin.com/company/unhaze/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/organizations/unhazeai/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f3b295b0f1bf37f84fab8ca0eb4083a223649ba.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": 530674, "full_name": "Jacob Lauritzen", "title": "Founder", "founder_bio": "hello", "is_active": false, "linkedin_url": "https://linkedin.com/in/jacob-lauritzen", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/42dd368327eb146151212534a9b7f5136ba1cbee.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 72922, "title": "Unhaze 😶‍🌫️ Find the deals you are most likely to close", "tagline": "Double your win rate by targeting the accounts you are most likely to convert", "body": "# TL;DR\n\nUnhaze mines data across sources like intent, hiring, technologies used, company descriptions, websites etc. and analyzes your historical deals to discover impactful buying signals. It then monitors your market and target accounts to constantly find and prioritize the best opportunities at the right time.\n\n# **The problem**\n\nProspecting and lead qualification is manual, inefficient, and error-prone. Prospect-to-closed conversion rates are as low as 5%-10%.\n\nThe coarse filtering capabilities of current lead databases cause sales teams to sift through long irrelevant leads lists instead of spending their time closing high-opportunity deals. This is money, time, and energy out the window.\n\n### **The solution**\n\nUnhaze integrates directly into Salesforce/Hubspot and tells you which leads to prioritize working on. Gone are the days of manual work and “gut based” decision making. Instead, teams can rely on predictive AI to identify the prospects they are most likely to win.\n\nThe initial focus is on win likelihood optimization, but Unhaze can also make predictions such a recommended products, segmentation, upsell potential or even completely custom models.\n\n# **How it works**\n\n_1\\. Data foundation_\n\nUnhaze continuously mines both structured and unstructured data across a large palette of data points such as firmographics, geo, technographics, funding, news, intent, website content, job posts, organizational changes & new hires and more.\n\n_2\\. Analysis of past deals_\n\nWith guidance from you, Unhaze analyzes all previous deals to discover impactful signals that can predict high-conversion opportunities. Some signals are obvious while others are more subtle or only appear in certain combinations.\n\n![uploaded image](/media/?type=post&id=72922&key=user_uploads/530674/4b6c7252-b344-4bb1-845a-dea75a1810fe)\n\n_3\\. Predictive monitoring of market_\n\nUnhaze uses machine learning to continuously monitor your market and predict which accounts are most likely to convert - so you can target the right accounts at the right time.\n\n![uploaded image](/media/?type=post&id=72922&key=user_uploads/530674/16e1646b-f44d-46bc-9d26-5699587da1af)\n\n# **Does it work?**\n\nBy focusing on the right accounts and not wasting time on unlikely leads, our pilot customers can more than double win rates while markedly decreasing time spent on prospecting.\n\n# **The ask**\n\n* Follow [Unhaze on Linkedin](https://www.linkedin.com/company/unhaze/)\n* Reach out [here](https://unhaze.ai/?utm_source=yc&utm_medium=social&utm_campaign=launch_yc) if you’re doing sales or revops in a B2B company with +50 employees\n* Connect me with RevOps, SalesOps, or sales leaders in your network", "url": "https://www.ycombinator.com/launches/IyA-unhaze-find-the-deals-you-are-most-likely-to-close", "votes": 17, "created_at": "2023-07-11T16:24:34.585Z" } ] }, { "id": 28921, "name": "Surface Labs", "slug": "surface-labs", "former_names": [ "Surface" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d1c735d9ba6a64fce2c94cba6690c524ea7f778.png", "website": "https://withsurface.com", "all_locations": "San Francisco, CA, USA", "long_description": "Surface Labs helps B2B companies capture, qualify, and convert inbound leads through intelligent contact forms. We replace tools like HubSpot Forms, Zapier, and Chili Piper with a single platform that embeds on any site with one line of code.\r\n\r\nOur AI agents handle lead capture, enrichment, routing, follow-up, and CRO testing — automating what used to require full marketing ops teams. Customers see a 30% lift in conversions in under 2 weeks, and our partial response capture feature collects 50% more emails from form drop-offs.", "one_liner": "Building the AI-powered marketing ops platform that turns website…", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1693007377, "tags": [ "Sales", "Marketing", "Advertising", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Arjun and I met as freshman at UC Berkeley when we were assigned to be lab partners for our introductory electrical engineering class. We quickly became friends/ project partners/ roommates over the next several years. I always knew I would start a company someday, but didn’t know what problem to solve. After getting into YC with Arjun and going through a couple pivots, we finally decided to work on something we had first-hand experience with, and that’s what has led to our current intelligent forms idea." } ], "url": "https://www.ycombinator.com/companies/surface-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/surface-labs.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/surface-labs", "x_url": "https://twitter.com/surfacelabs_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/surface-labs-cb05", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d1c735d9ba6a64fce2c94cba6690c524ea7f778.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b6252c3bbc3d38b1b30b29ce871fef3000422803.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1179226, "full_name": "Saharsh Agrawal", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Surface Labs. \n\nBuilding AI Marketing Agents for B2B.", "is_active": true, "linkedin_url": "https://linkedin.com/in/saharshagrawal", "x_url": "https://x.com/saharsh_wal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4f91894e8aaa56eb4663bd97e2f17acf32c4fa19.jpg" }, { "user_id": 1424271, "full_name": "Arjun Sahai", "title": "Founder/CTO", "founder_bio": "Arjun is a UC Berkeley EECS alum. \n\nHe joined Snowflake's first growth team where he deployed and optimized signup.snowflake.com. \n\nHe boosted conversion rates for sign ups by 70% through form and funnel optimization. \n\nThis inspired the founding of Surface Labs!", "is_active": true, "linkedin_url": "https://linkedin.com/in/arjun-sahai", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/29a24d3fa0cd65d7c35c2bffe05e956c0af8f729.jpg" } ], "jobs": [ { "id": 93375, "title": "AI GTM Engineer Intern", "url": "https://www.ycombinator.com/companies/surface-labs/jobs/k6SbAbd-ai-gtm-engineer-intern", "location": "San Francisco, CA, US / Remote (US)", "type": "Internship", "role": "Engineering", "role_type": "Devops", "salary_range": "$10K - $20K / monthly", "equity_range": "0.01% - 1.00%", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 115146, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/surface-labs/jobs/utlT6TV-chief-of-staff", "location": "San Francisco, CA", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$120K - $140K", "equity_range": "0.05% - 0.50%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 93874, "title": "Surface Labs — AI Workforce for Marketing Operations", "tagline": "Team of AI agents that boosts lead conversions by 30% by taking over marketing ops (ads, routing, follow-ups, etc)", "body": "For too long, marketers have been stuck fixing ops instead of building campaigns. [**Surface Labs**](https://withsurface.com/) is building the first **AI Workforce for Marketing Ops** — a team of AI Agents that run your inbound workflows, boost conversions, and cut workloads by 80%.\n\nOur AI Agents are already live in production, handling **50k+ leads every month**. \\\n\\\nMeet one of the first: the **Form Agent**.\n\n![uploaded image](/media/?type=post&id=93874&key=user_uploads/1179226/4f068f22-c1da-43c6-a00a-132cea0b6259)\n\n### **🙅‍♂️ Problem**\n\nMarketing teams spend millions on ads, tools, and headcount… but still lose **30–50% of inbound leads** to spam, bad routing, and slow follow-ups.\n\nEveryday reality:\n\n* Endless spreadsheets and duct-taped workflows.\n* Hours wasted fixing ops instead of building campaigns.\n* Pressure from leadership while growth stalls and leads slip away.\n\nMarketers weren’t hired to babysit forms and CRMs. They were hired to **create, inspire, and drive growth**.\n\n### **👌 Solution: The AI Workforce for Marketing Ops**\n\nWe’re building an AI Workforce that handles the repetitive, manual parts of marketing ops so that marketers can focus on strategy and creativity. Here are some of the members of the Workforce:\n\n* **Forms Agent** → builds high-converting funnels that capture every lead.\n* **Follow-Up Agent** → responds instantly, with personalized outreach.\n* **CRM Agent** → routes and updates deals in Salesforce/HubSpot.\n* **Experiments Agent**→ runs CRO tests automatically to boost conversions.\n* **Ads Agent** → optimizes ad spend and performance in real time.\n\n![uploaded image](/media/?type=post&id=93874&key=user_uploads/1179226/d5785765-ad9a-4de4-a619-72393b38ca91)\n\n### **📊 See Results within 2 weeks**\n\n* **Agent-powered** inbound funnels boost conversions by 30%\n* **80%+ spam eliminated;** replaces expensive ad fraud prevention & lead routing tools (e.g. ChiliPiper, LeanData)\n* **Does the work of 3+ ops hires** at a fraction of the salary cost\n\n### **Want to hire our agents (& get free lunch)?**\n\n**👉 Stop letting leads slip away.** Book a demo/ free strategy call with our founders [**here**](https://calendly.com/surfacelabs/15-min-intro-call-with-surface)**.**\n\nWe’ll audit your inbound funnel/ ops and if we can’t build you a form + workflow funnel that beats your current setup, **lunch is on us.**\n\n### **Want to work with us?**\n\n[**_Surface Labs_**](https://withsurface.com/) _is an applied AI lab building the next generation of marketing technology._ _Our core product grew 70% in the last month, with 500k+ website visitor sessions and 50K+ leads captured every month. Surface AI agents are live in production and usage is 📈📈📈._\n\n_Email [**saharsh@withsurface.com**](mailto:saharsh@withsurface.com) with 3 bullet points on why you want to work with us._", "url": "https://www.ycombinator.com/launches/OQ6-surface-labs-ai-workforce-for-marketing-operations", "votes": 130, "created_at": "2025-09-16T18:12:22.299Z" }, { "id": 81386, "title": "Surface Labs: AI that turns Leads into Customers", "tagline": "Boost conversion rates by up to 40% using AI.", "body": "**TL;DR** We previously built intelligent forms for businesses to **_boost website conversions by up to 40%_**, but found them still struggling to close sales because they _couldn’t **scale manual human tasks**_ against increased lead volume. _We give every site visitor a dedicated AI agent to convert more leads into customers across the entire funnel._\n\n---\n\n—\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n# **The Problem.**\n\n**Over 40% of ad spend is wasted.** Businesses spend money on ads to drive traffic to websites/ PPC pages, but businesses struggle to convert visitors into leads if the page fails to convey value and collect lead data. This results in **leads leaving to visit competitors' websites** and **wasted ad spend.**\n\n![uploaded image](/media/?type=post&id=81386&key=user_uploads/1179226/f96972a0-9b96-420e-afcb-eb33ed6f4957)\n\nEven if a lead does initially convert on the site, it’s not enough. Businesses still need to\n\n* **filter out unqualified leads/ fake form fills**\n* **decrease speed-to-lead**\n* **repeatedly** **engage the lead**\n\nThis problem is most severe for businesses in **competitive ad spaces** with commoditized offerings (e.g. services, lending, higher education, home services, etc).\n\nAs a result, many businesses end up **buying low-quality leads in bulk** from lead gen services or just **spray-and-pray** cold outbound campaigns.\n\n—\n\n# **Our Solution.**\n\nWe’re building an **_intelligent lead management system_** — a better way to track and engage every lead that clicks on an ad & lands on your website.\n\nWe’ve achieved this by building:\n\n* super customizable, **high-converting** lead forms\n* dedicated AI agents to **qualify and engage every lead** on your website\n* better **ad targeting and personalization** using first-party data collected on your website\n\n![uploaded image](/media/?type=post&id=81386&key=user_uploads/1179226/c72a7f9c-8b56-47ab-8c8d-0eb0e222bb54)\n\nThe platform includes a highly customizable, multi-step form builder, agent configuration UI, and data + analytics dashboards that provide granular details for every lead.\n\n![uploaded image](/media/?type=post&id=81386&key=user_uploads/1179226/c8ca819f-6e77-44b7-ac87-a1629bcacc49)\n\n—\n\n## **The Backstory.**\n\nWe (**Arjun and Saharsh**) are both engineers who met at UC Berkeley 🐻 and have helped growth teams at multiple startups and companies like **Snowflake** ❄️ boost funnel conversion rates.\n\nWe launched our high-converting forms product last September, **booked 300+ customer calls** in just a few days, and have helped hundreds of businesses ranging from **law firms, real-estate** and **high-ticket coaching services** to **B2B SaaS companies** spending millions on ads boost conversion rates on their website.\n\n![uploaded image](/media/?type=post&id=81386&key=user_uploads/1179226/d96a94aa-8abd-4359-9bd8-6a4994841385)\n\nAre you ready to optimize your ad spend and engage every lead using AI?\n\nWe’d love to chat! Reach out at [saharsh@withsurface.com](mailto:hello@plyhealth.com), fill out the contact form on our [website](https://withsurface.com/), or book a demo directly [here](https://calendly.com/surfacelabs/25-min-intro-call-w-surface-labs). We’d also appreciate sharing our launch and following us on [LinkedIn](https://www.linkedin.com/company/96129512)!", "url": "https://www.ycombinator.com/launches/LAg-surface-labs-ai-that-turns-leads-into-customers", "votes": 62, "created_at": "2024-06-08T15:17:11.558Z" }, { "id": 74412, "title": "🏓 Surface: Intelligent Forms that Boost Conversions", "tagline": "We're building a better way to buy products, starting with forms.", "body": "👋 Hey everyone - we’re Saharsh and Arjun from [Surface Labs](http://withsurface.com)!\n\n### **🏆 TL;DR**\n\nWe’re building intelligent forms designed to help B2B companies collect richer customer data and convert more site visitors to customers via AI-powered content personalization.\n\n![uploaded image](/media/?type=post&id=74412&key=user_uploads/1179226/feb58565-fcf9-442d-9cd7-9a2b8cfbcd40)\n\n### **🤔 The Problem**\n\n**You’re losing out on the opportunity to collect valuable first-party data from your customers and increase conversions due to suboptimal forms on your landing page.**\n\n* It’s difficult to personalize content on a form using existing solutions, despite this being one of the most effective methods for converting customers\n* Solutions like Typeform don’t fit seamlessly into your product’s design/ styling and can look out of place 🤢\n* HubSpot or custom-built forms can easily lack an optimal UX that drives form conversions 🥱\n\nOptimizing page forms to collect rich user data that your marketing and sales teams can use to drive conversions is important but is an ongoing task that takes resources away from developing your core product.\n\n### **✨ Our Product**\n\nWe’re building intelligent forms designed to help companies collect richer customer data and convert more site visitors to customers through AI-powered content personalization.\\\n\\\nOur forms can be embedded in minutes on your site as a pop-up or even take over the entire page and provide your business with a managed “Contact Sales” page!\\\n\\\nHere are some example of early forms that we’re building:\n\n![uploaded image](/media/?type=post&id=74412&key=user_uploads/1179226/f2cdf1f7-1166-4d67-8ffa-6008adac73c2)\n\n![uploaded image](/media/?type=post&id=74412&key=user_uploads/1179226/14aa7de7-73ea-43cb-986c-79b2bec5499c)\n\n![uploaded image](/media/?type=post&id=74412&key=user_uploads/1179226/6179b0ec-94eb-43d8-b97a-c93f33167b90)\n\nOur platform has helped our customers:\n\n* add targeted messaging to a form to easily enable personalization at scale\n* reduce the burden of data entry for customers to improve form completions by up to 70%\n* manage their entire inbound sales pipeline with our managed “Contact Sales” page experience\n* enrich customer responses with external data sources and ask personalized follow-up questions that allow sales teams to instantly filter, qualify, and book meetings with leads\n\n### **⚙️ Features**\n\nAt their most basic, our forms are customized to match your site’s theme and branding, but here are some additional things our forms can do:\n\n* Intelligent form routing logic\n* AI-Powered A/B testing of questions\n* Automatic lead enrichment and scoring\n* Slack bots that inform you when an important lead has signed up\n* Integrations with your CRM, CDP, analytics, email, and scheduling tools\n\n### 👏 **Our Team**\n\nArjun and I met as freshmen at UC Berkeley 🐻 where we both studied Electrical Engineering and Computer Science (EECS).\n\n![uploaded image](/media/?type=post&id=74412&key=user_uploads/1179226/3f2b4e0b-a5f2-438c-aa96-5b853b512322)\n\n[Arjun](https://www.linkedin.com/in/arjun-sahai/) spent much of his time at Snowflake on the growth team optimizing their self-serve flow, starting with the form on [signup.snowflake.com](http://signup.snowflake.com).\n\n[Saharsh](https://www.linkedin.com/in/saharshagrawal/) received his M.S. in EECS from Berkeley where he studied privacy-preserving systems and has worked at early-stage startups where he built products from 0-to-1.\n\nThey’ve both worked with marketing/ sales/ growth teams to perform experimentation around content personalization, onboarding flows, and form templates to help optimize improve response rates/conversion rates. After directly experiencing how powerful personalized business forms can be, Saharsh and Arjun decided to start Surface.\n\n### **🙏 Asks**\n\nIf you are currently using a custom form/ Typeform/ Hubspot form, have had to disable your Calendly booking screen due to spam bookings, or are struggling to collect rich user data from inbound leads, check us out!\n\nWe’re onboarding a limited number of companies over the next 2 weeks and are custom-building forms for them prior to our self-serve product launch.\\\nBook time to chat with us [here](https://calendly.com/surfacelabs/15-min-intro-call-with-surface?month=2023-09) or reach out at [founders@withsurface.com](https://founders@withsurface.com)!\n\nVisit our website at [withsurface.com](http://withsurface.com) to check out one of our forms!", "url": "https://www.ycombinator.com/launches/JMC-surface-intelligent-forms-that-boost-conversions", "votes": 68, "created_at": "2023-08-25T23:49:16.378Z" } ] }, { "id": 28923, "name": "Maven Bio", "slug": "maven-bio", "former_names": [ "RightPage" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d8ec5197bc9e6a36464adaa019fa08dc09b5662.png", "website": "https://mavenbio.com", "all_locations": "Boston, MA, USA", "long_description": "Maven Bio is a live intelligence platform for biopharma teams. It continuously monitors clinical, regulatory, company, and deal developments, identifies what matters to each team's priorities, and delivers signals and updates to keep key documents current. Its monitoring agent can apply edits automatically, with sources attached and the option to roll back changes.\r\n\r\nMaven runs thousands of monitors across company and individual product websites, trade press, health technology assessment bodies, and patient advocacy groups worldwide. Teams use that intelligence to maintain competitive views, asset screens, and recurring briefs, in Maven or through connected AI assistants and custom workflows.", "one_liner": "Live intelligence for biopharma teams.", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1689099430, "tags": [ "Generative AI", "Biotech", "Healthcare", "Enterprise", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/maven-bio", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/maven-bio.json", "year_founded": 2023, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mavenbio", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/mavenbio", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d8ec5197bc9e6a36464adaa019fa08dc09b5662.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1368769, "full_name": "Michael Brady", "title": "Founder", "founder_bio": "Helping BioPharma teams evaluate therapeutic opportunities. Passionate about building AI-native software. Boston native.", "is_active": true, "linkedin_url": "https:https://www.linkedin.com/in/mbrady4/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d5fa97b7eafa0156135d65a61f61b408e504a4f6.jpg" }, { "user_id": 1372801, "full_name": "Arjun Murthy", "title": "Founder", "founder_bio": "Proactive Biopharma intelligence. Passionate about helping teams in life sciences navigate complexity with the right information at the right time. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/arjunmurthy1", "x_url": "https://twitter.com/AMurthy100", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7eb880c254c43c6a73e4a8c6e9a79d4c41fc4ba2.jpg" } ], "jobs": [ { "id": 76816, "title": "Software Engineer, Full Stack", "url": "https://www.ycombinator.com/companies/maven-bio/jobs/mQMCD78-software-engineer-full-stack", "location": "Boston, MA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Flask", "PostgreSQL", "Python" ] }, { "id": 98290, "title": "Senior SDR", "url": "https://www.ycombinator.com/companies/maven-bio/jobs/yT0mGi2-senior-sdr", "location": "Boston, MA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80K - $140K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 85261, "title": "Maven Bio - Your AI analyst for BioPharma market intelligence", "tagline": "Empowering BioPharma professionals to get more done by pairing AI-powered research with a world-class BioPharma database. ", "body": "**TL;DR:** Maven Bio’s AI Analyst can construct a full competitive landscape, research specific drugs or companies, or analyze trial data, all by leveraging our curated content library of over 10 million BioPharma documents. Join hundreds of users from the world's top BioPharma companies, consultancies, and venture capital firms and try our robust free tier at [mavenbio.io](http://mavenbio.io)\n\n**🎯 The Problem:**\n\nMore than 90% of clinical-stage drugs fail - yet while scientific failures get most of the attention, \\~20% of all programs actually fail for business and commercial reasons. \n\nWhy? \n\nToday, therapeutic opportunities are evaluated using a highly manual process with fragmented information along with a heavy dose of consultants, hundreds of slides, and dozens of disparate data sources, which makes it difficult and time-consuming to assess the commercial potential of a drug.\n\n**✨ Our Solution**: \n\nMaven Bio’s AI Analyst for BioPharma Market Intelligence empowers teams to get smart on an opportunity area and understand the competitive landscape faster and more effectively.\n\nUnlike a generative chatbot or traditional database that provides rows of data but takes no action, Maven Bio’s AI Research Analyst **_actually performs analysis for you_**, giving you meaningful insights on critical BioPharma business questions like:\n\n* _What is the competitive landscape, and how differentiated is a given drug compared to current treatments?_\n* _What are the different approaches companies are taking to develop drugs for this disease, and how do they compare?_\n* _How are patients treated today, and what are the gaps in treatment and the level of unmet need?_\n\nIn a field where accuracy is crucial, we leverage our proprietary content library of over 10 million BioPharma documents with a unique combination of both financial and scientific information, including drug and trial data, press releases, SEC filings, earnings transcripts, and much more to provide unrivaled breadth and depth.\n\n\n\n👋 **Our ask: How you can help** \n\n* Join hundreds of users across top BioPharma companies and try it yourself at [mavenbio.io](http://mavenbio.io) - we have a robust free tier!\n* Connect us with relevant professionals in BioPharma, including: \n * Consultants focused on the BioPharma space\n * Business development, corporate development, and new product planning roles at BioPharma companies\n * Investment professionals (bankers, VCs, etc.) focused on Biotech\n\nIf you want to discuss additional customizations available in our Enterprise plan, or just want to chat, connect with us [here.](https://cal.com/team/maven-bio/intro)\n\n![uploaded image](/media/?type=post&id=85261&key=user_uploads/89898/4d362486-e4bb-4cfb-ac0a-0077cc49171f)\n\n", "url": "https://www.ycombinator.com/launches/MBB-maven-bio-your-ai-analyst-for-biopharma-market-intelligence", "votes": 18, "created_at": "2024-11-04T16:52:42.714Z" } ] }, { "id": 28926, "name": "Upstream", "slug": "upstream", "former_names": [ "Snik" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2f7369d2ab1e0977978b9b94c89d862359ae83ed.png", "website": "https://www.upstream.do/", "all_locations": "Paris, Île-de-France, France", "long_description": "Your inbox, handled for you. Upstream's agents sort the noise, draft replies in your exact voice, follow up at the right time, and do what you ask - like finding receipts or scheduling meetings - so you can fly through your inbox and have fun doing it.", "one_liner": "The inbox that handles itself", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1690426716, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/upstream", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/upstream.json", "year_founded": 2023, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/upstreamdo", "x_url": "https://twitter.com/upstream_do", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2f7369d2ab1e0977978b9b94c89d862359ae83ed.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": 1303398, "full_name": "Louis Lecat", "title": "Founder", "founder_bio": "I'm the founder & CEO @ Upstream. I was one of the early product people @ Asana, driving growth and adoption up to $100M ARR. I went on to lead the entire product team @ Algolia (YC W14) as their Head of Product through series B and C, assembling a team of 20+ talented product builders, while growing ARR 2.5x to $100M+. Also worked @ AgilOne (acquired) and graduated from @ Stanford and @ Ecole des Ponts", "is_active": true, "linkedin_url": "https://linkedin.com/in/lecatlouis", "x_url": "https://twitter.com/louislecat", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/882eae7d26f69b60704e3bdc41785d7bdcb67519.jpg" }, { "user_id": 1093527, "full_name": "Jonathan Tiret", "title": "Founder", "founder_bio": "I am the co-founder & CTO @ Upstream. My love for software started when I was only a teenager: I developed @ Dino Gaia, one of the most popular online French consumer games in the 2000s, registering a million visits every month. I've since built extensive technical hands-on and leadership experience across multiple sectors, including ride-hailing, fintech, and legaltech. I was most recently the VP of Engineering @ Doctrine before it got acquired.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jtiret", "x_url": "https://twitter.com/jtiret", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff8959cdf1617e2ed1be6a2303274be6e2602907.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 103613, "title": "Upstream - The first inbox designed for humans and agents", "tagline": "Your inbox, handled for you. Agents sort the noise, draft replies in your voice, and follow up automatically.", "body": "Hey YC! 👋\n\nWe’re [Louis Lecat](https://www.linkedin.com/in/lecatlouis/) and [Jonathan Tiret](https://www.linkedin.com/in/jtiret/) - co-founders of Upstream.\n\n**TL;DR**: Upstream is an email client that handles your inbox for you. Agents sort the noise, draft in your exact voice, follow up on time, and do what you ask, so you can finally relax and enjoy email again.\n\n \n\nTry it here: [Sign up with Google](https://www.upstream.do/?utm_source=launch_yc&utm_medium=social&utm_campaign=launch&utm_content=announcement)\n\n# The problem\n\nWe were told AI was going to fix email. Two years in, your inbox looks the same, the drafts sound like ChatGPT, and you stopped clicking on the AI buttons bolted on every product. We wanted an inbox where agents work for you - before you ask - but still let you make the final call.\n\n# What we built\n\nWe rebuilt email from the ground up as a surface agents can read, write, and act on.\n\n**📥 Your inbox is organized**\n\nSpam, cold outreach, and low-priority emails are moved out of the way. The conversations that actually need your attention stay front and center.\n\n![uploaded image](/media/?type=post&id=103613&key=user_uploads/1093527/c1514848-21d2-48c7-b346-743016d125a1)\n\n**✍️ Custom voice prompt**\n\nUpstream learns how you write from your own emails and drafts replies that sound exactly like you, adapting to who you’re talking to.\n\n![uploaded image](/media/?type=post&id=103613&key=user_uploads/1093527/33e44baf-2ff7-4291-87e8-10b9d9beabf8)\n\n**🤖 Built-in agent to do what you ask**\n\nFind receipts, write personalized emails, schedule meetings, update records, or handle whatever task comes up in your inbox.\n\n![uploaded image](/media/?type=post&id=103613&key=user_uploads/1093527/b782c513-24c0-4c02-8be9-37d3ef4f777f)\n\n**⏰ Smart follow-ups**\n\nWhen someone drops the ball, Upstream follows up automatically at the right time so important conversations keep moving.\n\n![uploaded image](/media/?type=post&id=103613&key=user_uploads/1093527/ebd46d18-6369-48c7-91e2-cb8e6f2a3ce9)\n\n# Open and agent-native\n\nEmail is becoming a shared workspace for humans and agents. Upstream is built for both.\n\n**🧠 Uses your company context**\n\nConnect Granola, Notion, Google Drive, and Calendar so agents understand your work before they act.\n\n**🔌 Use it from Claude or Codex**\n\nControl Upstream over MCP from Claude, Codex, or your own agents. Or bring agents directly into Upstream.\n\nFinally, we made every system prompt fully editable, so that you can configure it to work the way you want.\n\n# What users told us\n\nDuring our closed beta, customers told us they felt more in control of their inbox, and that email had become a fun part of their day again. We’ve seen many people replace Superhuman with Upstream’s free plan.\n\n# Our Ask\n\nTry Upstream and let us know what you think. Setup is fully automated and only takes a few minutes - and it’s free!\n\nLink to get started: [upstream.do](http://upstream.do)\n\nThank you!", "url": "https://www.ycombinator.com/launches/QxB-upstream-the-first-inbox-designed-for-humans-and-agents", "votes": 11, "created_at": "2026-06-22T03:48:40.248Z" }, { "id": 73531, "title": "⚡ Upstream || 📥 An email client designed for team collaboration", "tagline": "Delivering efficiency for teams, while letting individuals regain focus.", "body": "### **📝 TL;DR**\n\n> **Upstream is a modern email client designed for team collaboration. Teams use it to have conversations that are easy to track, rich in context, and transparent with the rest of their company.**\n\nSign up for the waitlist at [**www.upstream.do**](https://www.upstream.do/?utm_source=yc_launch&utm_medium=post&utm_campaign=launch) !\n\n![uploaded image](/media/?type=post&id=73531&key=user_uploads/1303398/125f0ac3-f789-46b8-8e2d-1b714e67518b)\n\n### **📖 Our Story**\n\nI’ve had the chance to work at successful fast-growing companies, like **Asana** and **Algolia**, and I’ve experienced first-hand the communication problems that arise when you need to coordinate with lots of people while moving at 100mph.\n\nAll organizations are very nimble in the early days, yet most of them lose their efficiency as they scale. **Communication becomes harder**, and teamwork breaks down. Companies continue to rely on **Slack for anything and everything** and start experiencing major inefficiencies:\n\n* **The ball keeps getting dropped:** important messages get missed. Key action items are buried in the never-ending flow of chit-chat.\n* **Decisions and their context get lost in the ether:** where did we discuss this again? Who was involved? What decision did we make and why?\n* **Team members waste their time reading irrelevant discussions** rather than getting stuff done, Slack making it impossible to distinguish signal from noise.\n* **We’re constantly interrupted:** chat’s expectation of immediacy has made it nearly impossible to find uninterrupted deep work time.\n\nAnd while it’s a huge productivity loss for the organization, employees report experiencing deep **anxiety** and feeling completely **overwhelmed** by the use of Slack.\n\n### **💡 A different tool for async conversations**\n\nWhen I was at Asana, we did things differently: we had a specific tool for all of our async conversations (I’m sure you’ve guessed: we used asana for that!). It made it so that our **decisions were easily traceable**, our important conversations had the right amount of context and the right folks involved, action items never got lost, and the volume of Slack notifications was totally reasonable.\n\nIt was so good! I could **easily focus and get in flow**, and always felt on the same page with the teams around me. We were firing on all cylinders! It was pure bliss.\n\nIt left such a strong impression on me that ever since I left Asana, I haven’t stopped thinking about how to **bring that experience to other teams out there**. And when I started seriously researching this, it became clear that, except for a handful of exceptional companies (think Stripe, Gitlab, Alan to name a few), 99% of them don’t even know they could work this way.\n\nI’ve since met [**@Jonathan Tiret**](https://www.linkedin.com/in/jtiret/), and here we are with Upstream: an easy way for teams to make, track and share decisions, directly within their emails.\n\n### **💻 Solution: elevating your emails**\n\n> **_Upstream is an email client that lets teams have conversations that are easy to track, rich in context, and transparent with the rest of their company._**\n\nWe don’t need to fully replace Slack. Chat is great for social chit-chat. Or when you need an answer right away. But more than 80% of our messages don’t require an immediate response. Upstream is a better place to **handle these messages async**:\n\n* Conversations have **context** on who needs to do what by when (assignees, due dates, statuses, summaries, etc.)\n* Team members can stay on top of incoming messages in a nice and tidy **inbox**\n* Conversations are made **visible** to the team, yet people stay opted out of notifications by default\n\n![uploaded image](/media/?type=post&id=73531&key=user_uploads/1303398/5805682f-8b48-4622-8002-85cf63977990)\n\nBecause let’s be honest: **you don’t need one more inbox**. We're building Upstream to simply work with your existing email address: manage everything in one place, create alignment with your team, and regain time for productive work.\n\n### **🤝 Who we are**\n\nI ([**@Louis Lecat**](https://www.linkedin.com/in/lecatlouis/)) was one of the early product people at [**@Asana**](https://asana.com/), where I honed my craft in building engaging collaboration software. I went on to lead the entire product team at [**@Algolia**](https://www.algolia.com/) as their Head of Product through series B and C, assembling a team of 20+ talented Designers, PMs, and Researchers, while growing ARR 2.5x to $100M+.\n\n[**@Jonathan Tiret**](https://www.linkedin.com/in/jtiret/) has extensive experience as a hands-on engineer and a tech leader in SaaS. He was the VP of Engineering at [**@Doctrine**](https://www.linkedin.com/company/doctrine/) before it got acquired, and is the creator of [**@Dino Gaïa**](https://www.dinogaia.com/)**,** one of the most popular online consumer games in France in the 2000s.\n\n![uploaded image](/media/?type=post&id=73531&key=user_uploads/1303398/6f46c6e2-66dd-4a9f-a0b0-43045858c643)\n\n**_We’re on a mission to make the other 99% of companies out there more efficient and productive and we’re obsessed about it!_**\n\n* [**Sign up**](https://www.upstream.do/?utm_source=yc_launch&utm_medium=post&utm_campaign=launch) for the waitlist\n* [**Book a call**](https://calendly.com/upstream-louis/intro) with us if these problems truly resonate with you. We’re looking for design partners to onboard onto the alpha version of the product, and help us shape its future.", "url": "https://www.ycombinator.com/launches/J7z-upstream-an-email-client-designed-for-team-collaboration", "votes": 81, "created_at": "2023-07-28T07:01:49.267Z" } ] }, { "id": 28927, "name": "Metalware", "slug": "metalware", "former_names": [ "Metalware", "metalware", "Metalware", "Isocode" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/17a2d106f9cdebdba12fd6e7d00d9e948e77f5be.png", "website": "https://www.metalware.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Metalware develops advanced firmware security solutions for critical infrastructure, protecting industries like aerospace, defense, automotive, telecom, and healthcare from cyber threats.\r\n\r\nOur product is an automated, intelligent binary fuzzer that enables organizations to efficiently discover and remediate security weaknesses in hardware products before deployment.", "one_liner": "Firmware cybersecurity", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1689732876, "tags": [ "DevSecOps", "Hardware", "GovTech", "Cybersecurity", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Security" ], "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/metalware", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/metalware.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/metalwareinc", "x_url": "https://twitter.com/metalwareinc", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/metalware", "github_url": "https://github.com/metalware-inc", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/17a2d106f9cdebdba12fd6e7d00d9e948e77f5be.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1029004, "full_name": "Ryan Chow", "title": "Founder", "founder_bio": "Co-founder & CEO of Metalware. Previously SpaceX, JHU APL.", "is_active": true, "linkedin_url": "https://linkedin.com/in/chowryan", "x_url": "https://twitter.com/ryanchowww", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0c52029f0b5f3263354745532d7f9c141026b194.jpg" }, { "user_id": 1371245, "full_name": "Andrew Nedea", "title": "Founder", "founder_bio": "Co-founder & CTO of Metalware. Previously SpaceX, Amazon Robotics, Autodesk.", "is_active": true, "linkedin_url": "https://linkedin.com/in/andrew-nedea-404b38131", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f714cc378a1178107248eb18b5ebfeb0c065f391.jpg" } ], "jobs": [ { "id": 88398, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/metalware/jobs/uNMiZtp-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Embedded systems", "salary_range": "$120K - $180K", "equity_range": "0.10% - 0.60%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "C", "C++", "Rust", "Hack", "Software Architecture", "Software Security", "Embedded Linux", "Device Drivers", "Microcontrollers" ] } ], "news": [], "launches": [] }, { "id": 28928, "name": "MediSearch", "slug": "medisearch", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a5e622a415b26a3986bc9fc08bf8fb1a1fa460e7.png", "website": "https://medisearch.io", "all_locations": "London, England, United Kingdom", "long_description": "MediSearch gives direct answers to medical questions based on trustworthy sources.", "one_liner": "Search engine for trustworthy medical information.", "team_size": 6, "industry": "Healthcare", "subindustry": "Healthcare -> Consumer Health and Wellness", "launched_at": 1690590443, "tags": [ "Generative AI", "Consumer Health Services", "Digital Health", "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Consumer Health and Wellness" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/medisearch", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/medisearch.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/medisearchio", "x_url": "https://twitter.com/medi_search", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a5e622a415b26a3986bc9fc08bf8fb1a1fa460e7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 593908, "full_name": "Eduard Oravkin", "title": "Founder", "founder_bio": "Working on giving people instant answers to health questions with https://medisearch.io.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eduard-oravkin-7637b420b/", "x_url": "https://twitter.com/e_oravkin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b7bb6deca32a860f37e8de007f78623ab05598c2.jpg" }, { "user_id": 544896, "full_name": "Michal Pándy", "title": "Founder", "founder_bio": "Try medisearch: https://medisearch.io/", "is_active": true, "linkedin_url": "https://linkedin.com/in/michal-pandy", "x_url": "https://twitter.com/michal_pandy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aeb95eae53e37a413ca0e2573b75b161e36104ca.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 86270, "title": "MediSearch Pro: Your personal medical research assistant", "tagline": "MediSearch Pro is currently the most accurate publicly-available medical search engine, scoring 94.2% on the United States Medical Licensing Examination (USMLE). Now available on web, iOS, and Android.", "body": "**tl;dr:** We are launching MediSearch Pro—your personal medical research assistant. MediSearch Pro is currently the most accurate publicly-available medical search engine, scoring 94.2% on the United States Medical Licensing Examination (USMLE). Now available on web, iOS, and Android.\n\n![uploaded image](/media/?type=post&id=86270&key=user_uploads/544896/e2e6710a-1040-46bb-8d46-51e0e4655daf)\n\n**iOS**: \\\n**Android**: \\\n**Web**: \n\n**Some highlights**:\n\n* **Industry-Leading Accuracy**: 94.2% accuracy on USMLE\n* **Smart Information Extraction**: Automatically highlights key information from medical papers, including summaries and critical statistics\n* **Advanced Followups**: One-click access to related papers, contradicting evidence, and real-world discussions\n* **Enhanced Filters**: Refined search by publication date and content type\n\nMediSearch Pro is now available globally on web, iOS, and Android. We're committed to making medical information more accessible and accurate for everyone. Please email [founders@medisearch.io](mailto:founders@medisearch.io) to share your feedback! Learn more about MediSearch Pro on our [announcement page](https://medisearch.io/announcements/pro_release).", "url": "https://www.ycombinator.com/launches/MRS-medisearch-pro-your-personal-medical-research-assistant", "votes": 17, "created_at": "2024-12-12T17:17:08.331Z" }, { "id": 77599, "title": "🧑‍⚕️ 🔎 MediSearch: Get direct answers to medical questions based on trustworthy sources", "tagline": "Now available as an OpenAI GPT, iPhone app, and Android app!", "body": "**tl;dr:** [MediSearch](https://medisearch.io/) gives you direct answers to medical questions based on trustworthy sources. Now you can find MediSearch as an [OpenAI GPT](https://chat.openai.com/g/g-jd2p3UfVx-medisearch), [iPhone App,](https://apps.apple.com/app/medisearch-ai/id6473300940) and [Android App](https://play.google.com/store/apps/details?id=io.medisearch.twa).\n\n![uploaded image](/media/?type=post&id=77599&key=user_uploads/593908/f079aa56-e33b-4ec1-8631-12658b5b82d7)\n\nWe have now answered millions of medical questions on the web-based version of [MediSearch](https://medisearch.io). A long-awaited request from our users has been to offer MediSearch on other popular platforms. Now you can get direct answers to medical questions with trustworthy sources on your [Apple](https://apps.apple.com/app/medisearch-ai/id6473300940) or [Android](https://play.google.com/store/apps/details?id=io.medisearch.twa) device, or use the full power of GPT4 on the [OpenAI GPT store](https://chat.openai.com/g/g-jd2p3UfVx-medisearch).\n\nThe accuracy of the answers of MediSearch remains our main focus. A testament to this is our performance on the United States medical licensing sample exam. You can check out the full evaluation [here.](https://docs.google.com/document/d/1miFwLyXdU-RJiWc40ifwmYToAUt0ZqXgXmPW51AYUlo/edit)\n\n![uploaded image](/media/?type=post&id=77599&key=user_uploads/593908/c84393a2-70f4-48cf-b779-0671edd23e39)\n\nWe want to make MediSearch the best that we possibly can and accessible to everyone. Therefore, please let us know of any improvements that we can make! We’d be grateful.", "url": "https://www.ycombinator.com/launches/KBb-medisearch-get-direct-answers-to-medical-questions-based-on-trustworthy-sources", "votes": 14, "created_at": "2024-01-17T15:47:58.399Z" }, { "id": 73952, "title": "MediSearch 👨‍⚕️🔎 AI search engine for trustworthy medical information", "tagline": "Get direct answers to medical questions based on trustworthy sources.", "body": "**tl;dr:** You know how when you google stuff about your health, you always end up getting diagnosed with some deadly disease by an SEO-optimized health blog? [MediSearch](https://medisearch.io) gives you direct answers to medical questions based on trustworthy sources using LLMs. Also available as an [API](https://medisearch.io/developers).\n\n![uploaded image](/media/?type=post&id=73952&key=user_uploads/593908/132974ad-1386-4c1b-bee4-44c9f38bccdf)\n\n\\*\\*Story and Problem:\\*\\*\\\nEduard was going to have his 2nd surgery on his knee in December. He visited 8 surgeons in 4 different countries and was surprised to find 6 different surgery options. He had no idea which opinion to trust, so he turned to researching online. We realized that current options for finding health information are either:\n\n1. unable to give direct answers to questions (WebMD and Healthline)\n2. untrustworthy (current LLM chatbots or health blogs on Google)\n3. or too technical (PubMed papers)\n\n**Solution:**\n\n![uploaded image](/media/?type=post&id=73952&key=user_uploads/593908/da7d8464-0825-4c35-80f8-d25f02ec1675)\n\nSince joining YC, the usage of MediSearch has grown 30x, validating that we are solving a real problem.\n\nAlso, to the best of our knowledge, MediSearch is currently the best performing publicly available medical QA system on the United States medical licensing sample exam. You can check our performance [here](https://docs.google.com/document/d/1miFwLyXdU-RJiWc40ifwmYToAUt0ZqXgXmPW51AYUlo/edit).\n\n![uploaded image](/media/?type=post&id=73952&key=user_uploads/593908/7d6f60e7-80db-4f53-9375-ad775f39660f)\n\nSeveral YC companies recently reached out whether we offer MediSearch through an API. So now we [do](https://medisearch.io/developers). If you’re interested, reach out to us at [founders@medisearch.io](mailto:founders@medisearch.io).\n\nOur ask:\n\n* Email us and tell us what you think about MediSearch!\n* ", "url": "https://www.ycombinator.com/launches/JEm-medisearch-ai-search-engine-for-trustworthy-medical-information", "votes": 36, "created_at": "2023-08-09T16:09:33.450Z" } ] }, { "id": 28929, "name": "Bretton AI", "slug": "bretton-ai", "former_names": [ "Greenlite AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a2e212679d6416b22e5a93c56292d0faf00edc5.png", "website": "https://www.bretton.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Bretton runs AI-native operations for the financial back office. OCC, Fed and FDIC regulated banks use Bretton to run compliance, risk, fraud operations on one platform, on their own data and policies, with every output traced, cited, and audit-ready.\r\n\r\nBretton has pioneered AI use in financial services with its proprietary Trust Infrastructure — a system of model validation, governance and auditability guardrails that enables AI use in key regulated workflows.\r\n", "one_liner": "AI-native operations for the banks", "team_size": 34, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1687929703, "tags": [ "Fintech", "Payments", "B2B", "Compliance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/bretton-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/bretton-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bretton-ai/", "x_url": "https://twitter.com/brettonai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a2e212679d6416b22e5a93c56292d0faf00edc5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/936cd307dccb74fa9e3b71397752f4250ce6a5b7.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1152966, "full_name": "Will Lawrence", "title": "Founder", "founder_bio": "Will led product for Facebook's anti-money laundering (AML) platform, combatting financial crimes across payment, gaming and e-commerce use cases. He also built core compliance infrastructure at Paxos, a growth-staged fintech that powers over 10M crypto wallets globally. \n\nHe's now Co-founder and CEO of Greenlite, helping fintechs scale financial crime operations with AI.", "is_active": true, "linkedin_url": "https://linkedin.com/in/lawrencewill", "x_url": "https://twitter.com/will_lawrenceTO", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dfe9f928e4429829c72f6b0ed36b1a16c28a68a0.jpg" } ], "jobs": [ { "id": 72400, "title": "Enterprise Account Executive", "url": "https://www.ycombinator.com/companies/bretton-ai/jobs/Dh7ku1P-enterprise-account-executive", "location": "San Francisco, CA, US / New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$220K - $300K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 90600, "title": "Software Engineer, Product", "url": "https://www.ycombinator.com/companies/bretton-ai/jobs/dqOP6MV-software-engineer-product", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$168K - $213K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 90602, "title": "Software Engineer, Infrastructure", "url": "https://www.ycombinator.com/companies/bretton-ai/jobs/RnFi0pT-software-engineer-infrastructure", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$168K - $213K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92361, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/bretton-ai/jobs/E8Bd0s3-forward-deployed-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94012, "title": "Solutions Engineer", "url": "https://www.ycombinator.com/companies/bretton-ai/jobs/J6AykVR-solutions-engineer", "location": "Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 94017, "title": "Financial Crime Analyst", "url": "https://www.ycombinator.com/companies/bretton-ai/jobs/JkfdrLs-financial-crime-analyst", "location": "Remote- United States / San Francisco, CA, US / Remote (US)", "type": "Contract", "role": "Operations", "role_type": null, "salary_range": "$28 - $70 / hourly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Greenlite AI Raises $15 Million Series A | Greenlite.ai", "url": "https://www.greenlite.ai/blog/greenlite-ai-raises-15-million-series-a", "date": "May 21, 2025" }, { "title": "Exclusive: Anti-money laundering startup Greenlite gets $4.8 million", "url": "https://www.axios.com/pro/fintech-deals/2023/11/08/exclusive-anti-money-laundering-ai-startup-greenlite-4m", "date": "Nov 08, 2023" } ], "launches": [ { "id": 72627, "title": "Greenlite 🟢 AI compliance teams for fintechs", "tagline": "A workforce of AI agents that augment AML and KYC teams", "body": "**TL;DR**\\\n[Greenlite](https://www.greenlite.ai/) helps fintechs unlock growth with an AI compliance team.\n\nOur workforce of AI agents tirelessly handle routine AML and KYC tasks, allowing your team to focus on higher-leverage work.\n\nIf you’re a fintech or compliance leader, get in touch at [founders@greenlite.ai](mailto:founders@greenlite.ai).\n\n## **Problem**\n\nFintech compliance teams **spend millions of dollars on manual anti-money laundering (AML) and know-your-customer (KYC) reviews**. To support customer growth, fintechs turn to outsourced analysts or consultants to complete these reviews.  The workflows assigned to outsourced teams are routine, clearly-defined and require risk-based decisions to be escalated to a full-time employee (FTE).\n\n**Managing outsourced analysts is painful and expensive.** Training takes months, quality assurance is a challenge and any additional tooling/automation needs to be built by your internal engineering teams.\n\n**Critically, the productivity of these AML teams are low**. [McKinsey estimated](https://www.mckinsey.com/capabilities/risk-and-resilience/our-insights/the-investigator-centered-approach-to-financial-crime-doing-what-matters) that as little as 15% of an AML investigator’s time is spent actually investigating. Manual processes, administrative tasks and limited working hours leave backlogs to grow, increasing risks of a major fine.\n\n### **Solution**\n\n[Greenlite](https://www.greenlite.ai/)’s AI agents learn your alert review process and work 24/7 to complete entry-level KYC and AML tasks.\n\nThey pair language models and 200+ data sources to action false positives, investigate high-risk customers and create audit-ready narratives. \n\nSuspicious activity is escalated to your FTEs, allowing you to be in control of risk based decisions.\n\n## **Here’s how it works**\n\n### Choose where you need staff augmentation\n\nGreenlite supports three agent archetypes (with more to come). Each one can learn your company’s specific workflows to handle routine cases.\n\n![uploaded image](/media/?type=post&id=72627&key=user_uploads/1152966/7d2bc16b-7e94-41f7-8bd4-4ef467c09b8c)\n\n### Add your policy, data sources and fuzziness thresholds\n\nUpload your workflow policy, define the data sources that are needed for this job and determine the fuzziness threshold you’re comfortable with.\n\n![uploaded image](/media/?type=post&id=72627&key=user_uploads/1152966/55090200-1b67-4d7f-ae1d-e21c04863a24)\n\n### Review escalated cases\n\nAgents will escalate cases that require a risk based decision. Importantly, your FTEs get an enriched case, complete with entity investigation details, data analysis and open-source intelligence to make high quality decisions more efficiently.\n\n![uploaded image](/media/?type=post&id=72627&key=user_uploads/1152966/07dccab8-c387-42e5-8a02-2fd4a2e6cfdf)\n\nSchedule a demo [here](https://cal.com/greenlite/greenlite-demo) to see how Greenlite can help you scale your compliance operations with AI instead of outsourced teams.\n\n### **Benefits of Greenlite:**\n\n1. **Higher quality, transparency and control of reviews**: give your team better visibility and control of your AML operations.\n2. **Dramatic savings**: using automated systems instead of human-reviewers will unlock capacity for strategic priorities.\n3. **Unblock growth**: with near-instant compliance capacity, your team can focus on higher-priority initiatives, like license applications, complex investigations and scaling core systems.\n\n### **Who are we?**\n\nWe’re [Alex](https://www.linkedin.com/in/jinalex/) and [Will](https://www.linkedin.com/in/lawrencewill/). \n\nWill led product teams working on Facebook's anti-money laundering (AML) platform, combating financial crimes across payment, gaming and e-commerce use cases. He also built core compliance infrastructure at Paxos, a growth-staged fintech that powers over 10M crypto wallets globally. \n\nAlex was an engineer and product manager at Dropbox. He was the first employee at Flixed where he led product development and built a programmatic content engine.\n\nTogether, we’re excited to help fintech compliance teams unlock unprecedented growth with AI.\n\n### **Looking to connect with fintech compliance teams!**\n\nWe’re happy to help fintech compliance teams define their AI strategy. Get in touch at [founders@greenlite.ai](mailto:founders@greenlite.ai).", "url": "https://www.ycombinator.com/launches/ItP-greenlite-ai-compliance-teams-for-fintechs", "votes": 52, "created_at": "2023-06-28T20:29:37.792Z" } ] }, { "id": 28930, "name": "Midrender", "slug": "midrender", "former_names": [ "Haven", "Revideo" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ae8f20158b0233edf45f926bd2ba47a325fa7fd6.png", "website": "https://midrender.com", "all_locations": "San Francisco, CA, USA", "long_description": "Midrender is a visual editor for creating motion graphics, powered by AI. Point the agent at your codebase, it reads your code, understands the feature, and creates an animated walkthrough you can ship. A full timeline and design editor lets you fine-tune every detail.", "one_liner": "Turn product features into launch videos", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1688598945, "tags": [ "Design", "Design Tools", "Video", "Marketing", "AI" ], "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/midrender", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/midrender.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/haven-ml", "x_url": "https://twitter.com/redotvideo", "fb_url": null, "cb_url": null, "github_url": "https://github.com/redotvideo", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ae8f20158b0233edf45f926bd2ba47a325fa7fd6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1910964, "full_name": "Konstantin Hohr", "title": "Founder", "founder_bio": "Konstantin is the founder of Revideo. Previously, he studied computer science at RWTH Aachen while simultaneously working as a software engineer at Jodel, where he built content moderation and abuse detection systems. At DynamoAI (W22), he spearheaded development on vertical federated learning based products.", "is_active": true, "linkedin_url": "https://linkedin.com/in/konsti-h", "x_url": "https://x.com/hkonsti_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2460ec366c0cb31c35af99c68b748be0c790cbb3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 80105, "title": "Revideo - Create videos with code", "tagline": "An open source toolkit to build web-based video apps.", "body": "### TLDR:\n\nWe are building [Revideo](https://re.video/), a web-based open-source framework that lets you create videos using the animation library Motion Canvas. It exposes basic video & audio editing functionality through a typescript API and lets you render videos with dynamic inputs. You can find our code on [**Github**](https://github.com/redotvideo/revideo)!\n\n### **The Problem:**\n\nWe believe that AI will drastically change how people produce video and that huge amounts of video will soon be created in an automated manner. Initially, we wanted to build applications in this space ourselves and started to work on a few ideas. For example, we worked on an AI-based app to automatically create highlight videos for Twitch streamers, as well as a platform that lets companies A/B test video ads.\n\nWhile building these products, we noticed that we weren’t really happy with the tooling we used. Most video editing frameworks lacked essential features, and the tools we liked were not open source. Therefore, we decided to build Revideo.\n\n### **The Solution:**\n\nWe built Revideo by extending the animation library Motion Canvas and adding features that are essential for automatically creating videos. These features include support for audio, substantially faster video rendering, and an API for programmatically rendering videos with dynamic inputs.\n\nHere is a code example of a basic video created with Revideo:\n\n![uploaded image](/media/?type=post&id=80105&key=user_uploads/1023703/4f0ca7c8-30c6-402a-a087-2b2829275c40)\n\nThe code above produces the following result:\n\n\n\n### **Our Asks:**\n\n* Check out [Revideo](https://github.com/redotvideo/revideo) on Github and give us a ⭐ if you like it!\n* We’d love to chat with anyone building video products! If you are building one or know people who do, please reach out ❤️", "url": "https://www.ycombinator.com/launches/Kq1-revideo-create-videos-with-code", "votes": 12, "created_at": "2024-04-11T15:49:45.395Z" }, { "id": 76501, "title": "Haven: Fine-tune and run open source LLMs super fast ⚡", "tagline": "Haven lets you build open source LLMs that are specialized for specific tasks", "body": "# TLDR:\n\nWe are excited to launch [Haven](https://haven.run/)’s fine-tuning platform for open source LLMs!\n\n* Haven lets you fine-tune open source LLMs such as Llama or Mistral without writing code or setting up infrastructure. We charge $0.004/1k training tokens, and you get $5 in free credits after signing up\n* You can host models for testing with <1s cold start times. We achieve this by running hundreds of model adapters on a single GPU and hot-swapping them based on user requests (will write more about this in a blog post)\n\nYou can get started [**here**](https://app.haven.run/) - alternatively, reach out to [**hello@haven.run**](https://app.haven.run/) or watch our [demo](https://www.youtube.com/watch?v=XpyVKUyt7k8) if you want to learn more!\n\n### **The Problem**\n\nOver the last months, we’ve identified two big pain points that make it hard to work with open source models:\n\n1. Open source models work best when they are trained for specific use cases, but the fine-tuning process with existing tools is super annoying. We have found that most of our time is spent setting up infrastructure to go from finishing a training run to actually testing our models, rather than actually writing code and improving our models\n2. Hosting custom models is expensive. Running a single Llama-7B model in float16 requires at minimum an A10 GPU, which costs $700+ per month. To run ten or a hundred specialized models for common tasks, this would mean that we have a monthly AWS bill of $7,000 or $70,000, respectively.\n\n### **The Solution**\n\nHaven’s platform offers a super simple way to fine-tune models without managing infrastructure or writing code, and to test and run them with low costs and without any additional work.\n\nWe are able to provide a super short feedback loop of going from training to running a fine-tuned model by hosting multiple lora adapters in parallel. This makes it possible for us to host hundreds of fine-tuned models on-demand on a single GPU. For our users, this reduced model cold start times to <1s and internally, we are able to host a single fine-tuned model for a couple of dollars per month. We also enable our users to export their model weights to Huggingface, so that they can run models entirely on their terms.\n\n### **Our Ask**\n\nFeel free to check out our [**platform**](https://app.haven.run/) and give us feedback! After signing up, you’ll receive $5 in credits to train a couple of models :) We are also happy to answer questions at [**hello@haven.run**](https://app.haven.run/)", "url": "https://www.ycombinator.com/launches/Jtt-haven-fine-tune-and-run-open-source-llms-super-fast", "votes": 8, "created_at": "2023-11-29T17:29:33.896Z" }, { "id": 73716, "title": "🔮 Haven - Run LLMs on Your Own Cloud", "tagline": "Haven makes it easy to deploy LLMs on your own infrastructure", "body": "**TL;DR:** Haven makes it easy to deploy LLMs in your GCP / AWS environment. We provide the user experience of serverless solutions like Replicate or Huggingface Inference Endpoints - but instead of running your models on Haven’s servers, we just manage your infrastructure for you. This gives you full control over your data and you get to use your precious cloud credits!\n\n### **🤕 The Problem**\n\nMany companies want to use large language models but do not want to rely on third-party providers as it makes them dependent on external services and comes with significant privacy risks.\n\nHowever, deploying models in-house is just not easy: engineers have to figure out CUDA environments, write and containerize efficient serving code, and expose it as an API server. And let’s not even talk about scalability…\n\nHaven solves this problem. We offer the simplicity, reliability, and scalability of third-party providers while allowing our users to securely run models on their own infrastructure.\n\n### **🤯 How It Works**\n\nHaven is built on top of Kubernetes, which makes it easy to scale and reliable in production settings. Deploying a model with Haven consists of just three steps:\n\n**1\\. Upload a Service Account Key**\n\nUploading a service account key gives Haven permission to manage your cloud resources for you. Under the hood, Haven will now set up a Kubernetes cluster running in your cloud environment.\n\n![uploaded image](/media/?type=post&id=73716&key=user_uploads/1023703/6b35bcd0-f0f5-4f4b-b3ab-dbb6a46261ff)\n\n**2\\. Configure Your Deployment**\n\nYou can now choose your model, select the GPUs you want it to run on, and configure the scaling behavior of your deployment. Haven will accordingly set up the model in your Kubernetes cluster.\n\n![uploaded image](/media/?type=post&id=73716&key=user_uploads/1023703/59c94edb-14a5-4e4e-b173-a4b19223ebdb)\n\n**3\\. Enjoy Your Model**\n\nYour LLM is up and running in minutes! Our deployments offer super-fast inference and advanced features like input batching for efficient serving. This way, you can immediately integrate them into your application.\n\n![uploaded image](/media/?type=post&id=73716&key=user_uploads/1023703/773c461a-05ba-48b2-ba96-6b4c88d23cbf)\n\n### **💪 The Team**\n\nWe’re Konstantin and Justus. The two of us met as freshmen in college, and have since built multiple projects together.\n\n![uploaded image](/media/?type=post&id=73716&key=user_uploads/1023703/95a23ea8-c105-4d8d-af62-f2a527bb50f7)\n\n[Justus](https://www.linkedin.com/in/justus-mattern-a04230184/) is an AI researcher and has been working on LLMs since 2020. As a member of AI labs at UC Berkeley and ETH Zürich, he has published multiple papers at leading research conferences.\n\n[Konstantin](https://www.linkedin.com/in/konsti-h/) has already been a full-time software engineer before starting his university studies. At Germany’s biggest social networking company, he built infrastructure handling requests from millions of daily users.\n\n### **💜 Our Ask**\n\n**Sign up **[**here**](https://vkg6c80ex61.typeform.com/to/IMCFY5Cf)** to work with us!**\n\nWe are working closely with our users to fully understand the needs of companies aiming to integrate LLMs into their products. Beyond giving access to our deployment tool, we partner with early customers to evaluate their use cases and fine-tune models for their needs. If this sounds interesting, sign up for early access or contact us at [hello@haven.run](mailto:hello@haven.run)!\n\n**Refer us to companies looking to use LLMs!**\n\nIf you have connections at companies looking to use LLMs, we’d highly appreciate introductions! You can reach us at [hello@haven.run](mailto:hello@haven.run).", "url": "https://www.ycombinator.com/launches/JAy-haven-run-llms-on-your-own-cloud", "votes": 229, "created_at": "2023-08-02T16:28:57.262Z" } ] }, { "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": 28932, "name": "AgentCollect", "slug": "agentcollect", "former_names": [ "Respaid" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e7fa66d4491c66a8637435f8ec4ca509a67f236.png", "website": "https://www.agentcollect.com", "all_locations": "San Francisco, CA, USA", "long_description": "We recover aged B2B debt in weeks, not quarters: ~49% in 20 days vs ~20% in 4-6 months for traditional agencies.\r\nOur AI agents call, email, text, find the right contact (20% of B2B contact data is outdated), and negotiate payment plans 24/7 ; all under your brand. \r\nWe replace your offshore BPO and third-party agencies. \r\nYour AR team stays focused on strategic accounts.\r\n\r\nLive with Dell, Microsoft, FedEx, Plaid, and Checkr and hundreds of enterprise companies.\r\n\r\nLong-tail AR your team has deprioritized becomes recovered cash before a traditional agency even gets moving.", "one_liner": "B2B debt collection powered by AI agents", "team_size": 42, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1688400893, "tags": [ "Fintech", "B2B", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Fintech" ], "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": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "My grandfather ran a furniture store in France. He extended credit himself, on trust. When customers didn't pay, he knocked on their doors on Sundays. One day, a customer pulled a knife on him.\r\n\r\nI grew up hearing that story. Then I started a business and ran into the same wall: customers who don't pay. The impossible choice: push too hard, they turn on you; push too soft, they ignore you.\r\n\r\nThat was collections before software. The problem is still the same.\r\n\r\nEvery B2B invoice is a loan. Every company extends credit. But when customers pay late, they still hand the problem to legacy collections agencies that recover \\~20% in 4-6 months and damage the brand on the way out.\r\n\r\nI built AgentCollect because no one should knock on doors anymore. AI agents call, email, and negotiate 24/7 under our customer's brand. We recover \\~49% in 20 days. Live with Dell, Microsoft, FedEx, Plaid, and Checkr." } ], "url": "https://www.ycombinator.com/companies/agentcollect", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/agentcollect.json", "year_founded": 2020, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/agentcollect", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/respaid", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e7fa66d4491c66a8637435f8ec4ca509a67f236.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 571278, "full_name": "John Banner", "title": "Founder/CEO", "founder_bio": "My prior startup's downfall was due to unpaid invoices. With no viable market solution and seeing that 1/4 of businesses faced bankruptcy for similar reasons, I founded Respaid, using AI and respect to address the issue. Beyond entrepreneurship, I'm a commander in the French Republican Guard, a pianist, composer, and passionate about fintech meeting psychology. An engineer by training, I graduated from Harvard Business School and Ecole Centrale Electronique. Also, I'm a proud dad of 4 under 5 🙂", "is_active": true, "linkedin_url": "https://linkedin.com/in/johnbanr", "x_url": "https://twitter.com/johnbanr", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bf7121767f5c4c09c95bcc3e780b0b43f7af6217.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73027, "title": "Respaid - Respectful B2B Collection, powered by AI", "tagline": "\"The nice guy of the debt collection industry 😇\"", "body": "Hey! This is John, the founder of [**Respaid.com**](http://Respaid.com)\n\n**Are you constantly juggling a million things while overdue bills keep slipping through the cracks? AI-powered respectful collection enables you to receive up to 9x more payments.**\n\n![](https://lh4.googleusercontent.com/PTwTgW1BacUmzMAqUzhE0hyLy2tdWeb8btBW51Gl4dNEfzXOfjZchTFeCdEccjcySs6WpqBObpY9U8yaffvEjdnGhghmZJNtbEm4orexPgmNXD3bU5JNL-ZtcqFtoYWMY-HTGu0hgo--CAl1y8eW8JM)\n\n_Yeah… I'm a solo founder, but.. I’m not alone. Actually we’re 40+ passionate people from 7 countries!_ \n\n### **❌ Problem: collect small overdue bills is hard**\n\nBe too harsh and people feel offended, be too soft, and they not take it seriously.\\\nAt Respaid, we've found the sweet spot. With our similar approach that a lawyer would do, combined with surprising softness and simple direct payments, people are happy to pay (NPS: 93).\\\nYour brand reputation is even greater.\n\n### **✨ Solution: AI-Powered Lawyer collection + Respect**\n\nWe combine a respectful approach (contact with care through a real lawyer) + AI (predict the perfect timing, message and channel) to collect your overdue bills. Your customers are surprised that your company’s lawyer has been soft and made it easy to pay.\\\nHow to start: **give us a simple excel file, we do the rest (no attached invoices required).**\n\n![](https://lh4.googleusercontent.com/TjqFpV2BgichtCkOzQ3AEqovNqRApXbhF1o5-as9KmXvC89ix1ey_nHICLlFkptfyr2gihAjBHPNuAA6JKOPCQeVZXZBA78R7qjlWjci8C5XukHVXEWeV3mIVoGtmfyhnGGQJZytYmsNQQcObEdeKrA)\n\n_e.g. Apple Pay increase collection rate by up to 7%_\n\n### **👉 For Who: SaaS, Subscription and Marketplace**\n\nYour customers are SMBs? Finding a solution which is profitable and not time consuming is now possible.\\\nWe currently have 458 customers (DoorDash, Checkr, Podium…) in 8 industries (retail, insurance, finance, service..). We usually start with an excel file, but you can also automate us through Zapier or direct API.\\\n**We do up to 85k collections per day!**\n\n![](https://lh5.googleusercontent.com/skDiOeoYmVP8Va2V20WkzD8P_ZDKgtve5JeG5jBc-u1V9-A2DMKkGVUDxNx1Tw8-FLtrG-M2yNhdq2FbN_q8G2BDSyhZBaxLnQwY5WEF5UlRxNzLnpHdbyLIANNiYPOc3wocvrFHxyUNjcQZ_mUpPvs)\n\n### **🕤 BackStory: how BAD debts killed my last startup**\n\nIn my previous startup, I didn’t find a solution to chase small debts, and debt collectors would not take us seriously regarding volume or risk too high (they tend to select debts they have more chance to be collected). I realized 1/ 4 startups fail due to small debts. I knew the only way to fix it was through technology + respect. 18 months later, we were #1 on Trustpilot “debt collector”, had 16 unicorn customers.\\\n**But….we never officially launched in the US… until today!**\n\n### **• We do a fair pricing (success fees only)**\n\nYou only pay a success fee when we succeed (starting 10.9%). In the industry, we’re probably the only ones to even display a pricing page as we understood it was not right to calculate pricing depending on debt quality.\\\nUse the code “_YCS23_”🔥 at signup to get 1 month trial period, there's no need to worry about license fees.\\\nIt's our way of demonstrating our commitment to your success.\n\n### **🙏 How You Can Help**\n\n**Intros to founders/CFO** - You can help us by introducing startups/companies having: 1. a lot of SMBs or 2. a lot of individuals as customers to share how they handle overdue bills. Please cc me: [j+YC@respaid.com](mailto:j+YC@respaid.com) or directly [book a demo here](http://jo.respaid.com)\n\n**Try collecting $1 to yourself in 10sec**: [**start $1 collection here**](https://respaid.com)", "url": "https://www.ycombinator.com/launches/Izr-respaid-respectful-b2b-collection-powered-by-ai", "votes": 171, "created_at": "2023-07-13T15:01:02.582Z" } ] }, { "id": 28933, "name": "Aglide", "slug": "aglide", "former_names": [ "Attic" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f3a2460651e6fcbf7d9ddcbd54822e26944663e9.png", "website": "https://aglide.com", "all_locations": "London, England, United Kingdom", "long_description": "Our mission is to secure access to every enterprise application.\r\n\r\nAglide SSO lets security and IT teams connect non-standard and legacy apps - from banking portals to social media logins - directly to their existing identity provider (Okta, Entra, OneLogin, Ping, etc.), with no need for app-side integration.\r\n\r\nOnce connected, these apps behave like any other IdP-managed service: policies like MFA, Conditional Access, RBAC, and audit logging just work, and end users access them through SSO only.\r\n\r\nCustomers use Aglide to secure both individual apps (e.g., legacy banking portals, Discord, Squarespace) and sensitive shared accounts (e.g., AWS root, social media). Our agentic identity technology means Aglide works with any app out of the box - no integration catalog, no custom scripting.\r\n\r\nToday, companies from public fintechs like Gemini to media companies like The Motley Fool rely on Aglide’s zero-trust, end-to-end encrypted platform to complete their identity stack.", "one_liner": "Connect every disconnected app to your SSO.", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1689277623, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United Kingdom", "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/aglide", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/aglide.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/aglide", "x_url": "https://twitter.com/useaglide", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f3a2460651e6fcbf7d9ddcbd54822e26944663e9.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": 496743, "full_name": "Patrick D. McGuckian", "title": "Founder", "founder_bio": "Imperial College London alumnus (Design Engineering, specialising in data privacy). Previously COO of Team Repair, a sustainable subscription service teaching STEM & repair. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/patrick-d-mcguckian-6b5743191", "x_url": "https://twitter.com/pdmcguckian", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e5843b572edb9d71322d6705bfaf371b4c3532f.jpg" }, { "user_id": 1159601, "full_name": "Oliver Colebourne", "title": "Founder", "founder_bio": "Design engineer, specialised in software products. Based in London and studied at Imperial College. Previously CTO for Team Repair, helping create the tech behind our award winning sustainable STEM subscription. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/olivercolebourne", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bec67a6fdc98209f767cb876c60e72f21902575d.jpg" } ], "jobs": [ { "id": 116669, "title": "Founding Engineer (London, UK)", "url": "https://www.ycombinator.com/companies/aglide/jobs/phBWl2V-founding-engineer-london-uk", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£80K - £150K GBP", "equity_range": "0.25% - 0.75%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "Node.js", "PostgreSQL", "React", "TypeScript", "Playwright", "Puppeteer", "Selenium" ] }, { "id": 116702, "title": "Founding Engineer (San Francisco, CA)", "url": "https://www.ycombinator.com/companies/aglide/jobs/aMLxbLZ-founding-engineer-san-francisco-ca", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $180K", "equity_range": "0.25% - 0.75%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Node.js", "PostgreSQL", "TypeScript", "Playwright", "Puppeteer", "Selenium" ] } ], "news": [], "launches": [ { "id": 81693, "title": "Aglide: Connect any app to your existing SSO - no SAML, no SSO tax", "tagline": "Avoid SSO taxes & manage access to apps that don’t support SAML, all from within your existing identity provider.", "body": "# **TLDR**\n\nAglide gives customers the same secure SSO, with none of the SAML cost and complexity. Admins can manage user access (conditional access, add/revoke apps, etc.), and end-users can access all their apps with their SSO credentials only.\n\nWith Aglide IdP Connect, you can now add Aglide SSO apps directly to your existing identity provider (Okta, OneLogin, etc.) - centralising management and access for every app to a single platform.\n\n[Aglide IdP Connect Demo](https://youtu.be/LW3DsStr4Ok)\n\n# **A lot of apps can’t be managed with SAML**\n\n![uploaded image](/media/?type=post&id=81693&key=user_uploads/496743/55e0ee0d-a31c-48e9-a66e-1e75a1b4cbe7)\n\nSSOs, like Okta, rely on SAML to manage apps. Unfortunately, SAML has a lot of problems.\n\n* **SSO Tax:** Vendors often double or triple their per-head price just to enable SAML (e.g., Figma, Hubspot, [Monday.com](http://monday.com/))\n* **Minimum Licenses:** Some vendors set a minimum license count to unlock SAML (e.g., Coursera)\n* **Lack of Support:** Smaller or older vendors often don't support SAML at all (e.g., Xero).\n* **Account Sharing:** SAML can't be used when you need multiple users to access a single account (e.g., X/Twitter).\n\nAs a result, companies are left with apps outside of their SSO.\n\n# **Having apps outside your SSO causes problems**\n\n![uploaded image](/media/?type=post&id=81693&key=user_uploads/496743/6633000d-928b-43f3-bda8-9b0873a1cbee)\n\n* **Security Risks:** Unmanaged accounts are much more likely to be breached (phishing, no conditional access, no 2FA, reused passwords, etc.)\n* **Compliance Impacts:** Without proper access management, companies may fail to meet key compliance standards (SOC-II, ISO27001, PCI, HIPPA, etc.).\n* **Disjointed End-User Experience:** Users don’t know what they have or how they can access it.\n* **Inefficient IT Teams:** Non-SSO accounts are difficult to manage and routinely get forgotten when leavers are off-boarded - resulting in access being kept.\n\n# **Aglide offers Okta-level SSO for any app, on any plan**\n\n![uploaded image](/media/?type=post&id=81693&key=user_uploads/496743/c968e8ca-c964-43ec-b5a6-5542830c17e4)\n\nAglide lets you manage access to any SaaS account - no SAML required. Aglide SSO is just as powerful as SAML SSO:\n\n* **Conditional Access:** Admins can apply policies like limiting access to work devices only.\n* **Instant Access Revoking:** Leavers can have their entire access revoked in a single click.\n* **Multi-Factor Authentication:** 2-factor authentication can be enforced for any app.\n* **Seamless Sign-in:** Users can access all their apps with a single set of credentials\n\nJust like with SAML, **apps accessed via Aglide SSO can only be accessed via Aglide SSO.** End-users can’t see or change the original credentials.\n\n# **Now you can add Aglide apps to your existing SSO**\n\n![uploaded image](/media/?type=post&id=81693&key=user_uploads/496743/f57033d9-2a24-4ad6-844d-df2eecdd109a)\n\nWith the launch of Aglide IdP Connect, you can now add Aglide SSO apps to your existing identity provider.\n\n* **Truly Single Sign On:** End-users can access their Aglide SSO apps with the same username and password as their SAML apps.\n* **Unified Launcher:** Aglide SSO apps are nested right inside end-users’ existing SSO launcher.\n* **User & Group Syncing:** SCIM syncs users and groups from your existing IdP, so your whole org can be instantly set up with Aglide SSO apps.\n\n# **Our team**\n\n![uploaded image](/media/?type=post&id=81693&key=user_uploads/496743/2524ff74-03fc-4a51-8556-2bb102b6163f)\n\nMy co-founder, Oliver Colebourne, and I met while studying at Imperial College London. There, we started our first company, Team Repair, with the aim of inspiring the next generation to pursue engineering and embrace the idea of repair and not replace.\n\nWhile scaling Team Repair, we experienced the insanity of SAML and the SSO Tax firsthand. It frustrated us so much that we left Team Repair to join YC and build a company to fix it.\n\n# **Our Asks**\n\n* **Calculate your Savings:** Try our SSO tax savings calculator to see how much Aglide could save you - \n* **Book a Demo:** If you think Aglide could help your business, book a demo - \n* **Share Aglide:** Share Aglide with anyone you know in IT - it could help them save $100,000s.\n* **Email me:** If you have any questions or ideas, ping me an email at [p@aglide.com](mailto:p@aglide.com)", "url": "https://www.ycombinator.com/launches/LFd-aglide-connect-any-app-to-your-existing-sso-no-saml-no-sso-tax", "votes": 18, "created_at": "2024-06-24T14:06:56.254Z" }, { "id": 79471, "title": "Aglide: Okta-level SSO, without the SSO Tax - now supporting internal apps.", "tagline": "Aglide's SAML-less SSO gives you Okta-style access control for any SaaS app. Now, it can do the same with your internal platforms.", "body": "**TL;DR:** With the launch of Internal App Connect, Aglide’s powerful access management - letting you monitor each user's apps, add sign-in rules (e.g., only on work computers), and revoke all access in a click - truly supports everything.\n\n[Aglide Internal App Connect Demo](https://youtu.be/JDSv5ixLUic)\n\n# \n\n# **Managing access with SAML is expensive and complicated.**\n\nExisting SSOs, like Okta, rely on SAML to manage apps. For third-party services, this creates costs and headaches:\n\n* **SSO Tax:** Vendors, like Slack and Salesforce, will double or triple the per-head price just to unlock SAML.\n* **Lack of Support:** Smaller or older vendors often don't support SAML.\n\nBut it’s even worse for internal platforms because companies need to pay a fortune for tools to build it with AND dedicate significant engineering time to set it all up.\n\n# **Manage access to ALL your apps with Aglide SSO.**\n\nWith Aglide SSO, you can connect and manage access to any SaaS account with just its username and password - no SAML, no SSO Tax.\n\nToday, we are expanding Aglide’s coverage by launching Internal App Connect - our new service that lets you connect your internal platforms to your Aglide SSO without any engineering time or effort.\n\n![uploaded image](/media/?type=post&id=79471&key=user_uploads/496743/07dd9cab-52d3-4867-91ff-a8398b516ee6)\n\nAglide gives admins the same control over internal apps as it does with third-party services:\n\n* **Full Access Visibility:** Admins can see and control all the apps each user has access to.\n* **Truly Single Sign On:** Employees can access all their work apps with a single username and password (protecting against phishing).\n* **Instant Access Revoking:** Admins can revoke a leaver’s access in a single click.\n* **Powerful Access Rules -** Admins can apply access policies like limiting access to work devices only.\n\nTo set up Aglide Internal App Connect, all you need to do is submit a sandbox account.\n\n# **Internal App Connect is free for anyone who signs up in March.**\n\nAglide customers are live in a day. To learn more:\n\n* Email me → [**p@aglide.com**](mailto:p@aglide.com)\n* Book a Demo → [**aglide.com/book-demo**](https://aglide.com/book-demo)", "url": "https://www.ycombinator.com/launches/Kfn-aglide-okta-level-sso-without-the-sso-tax-now-supporting-internal-apps", "votes": 18, "created_at": "2024-03-18T18:01:04.553Z" }, { "id": 76874, "title": "Aglide - SSO & access management, without the SSO tax.", "tagline": "Okta-style access management, without relying on SAML. Avoid the SSO tax for services like Salesforce and manage access to accounts that don't support SAML, like Twitter.", "body": "**TL;DR:** Aglide gives companies Okta-level access control for any app. All you need to connect an account is its username and password.\n\nCompanies use Aglide as their sole SSO or connect it to their existing provider - letting them avoid the SSO tax and manage access to accounts that don't support SAML, like social media services.\n\n[Aglide SSO Demo](https://youtu.be/FNYjIf68mLQ?feature=shared)\n\n—\n\n# \n\n# **A lot of apps can’t be managed with SAML.**\n\nExisting single sign-on services, like Okta, rely on SAML to manage apps. However, for a lot of services, SAML is not viable.\n\n* **SSO Tax:** Vendors, like Slack and Salesforce, will double or triple the per-head price just to unlock SAML.\n* **Minimum Licenses:** Vendors, like Coursera, set a minimum number of licences to unlock SAML.\n* **Lack of Support:** Smaller or older vendors often don't support SAML.\n* **Account Sharing:** SAML can't be used when you need multiple users to access a single account (e.g., Social Media).\n\n![uploaded image](/media/?type=post&id=76874&key=user_uploads/496743/cf348b5e-3ccf-4f19-a5e6-46f3702aa64e)\n\n—\n\n# **Password managers are a bad solution.**\n\nWhen accounts aren't managed by SAML, they are often stored in password managers, causing headaches:\n\n* **No Access Management:** Password managers can't configure a user's ability to access services (e.g., on company devices only or with a USB Security Key)\n* **Off-boarding:** When employees leave, admins might not know what apps they had access to - meaning accounts their accounts won’t get deactivated.\n* **Leavers Keeping Access:** Employees take passwords with them when they leave - meaning they can still access company information.\n\n—\n\n# **Our Solution: Aglide**\n\nAglide's SSO doesn't require SAML. Any app can be connected with just its username and password.\n\n![uploaded image](/media/?type=post&id=76874&key=user_uploads/496743/62928f4e-bcdc-4d30-8484-362e2e84f4ea)\n\n**Truly Single Sign On:**\n\nWith everything connected, Aglide gives users a truly single sign-on - letting them access everything from individual project management tools to shared social media accounts with one set of credentials.\n\n**Instant Session Revoking:**\n\nWith one click, admins can revoke a user's access to everything - closing any live sessions and blocking their ability to generate new ones.\n\n**Full Access Management:**\n\nAdmins have Okta-level control over connected apps - including limiting access to managed devices or requiring a USB Security Key.\n\n**One control point:**\n\nAdmins can see all the apps each user has access to and how frequently they access them - streamlining off-boarding and helping avoid unnecessary spending on unused accounts.\n\n---\n\n—\n\n# **Connect Aglide to your existing IAM or use it standalone.**\n\nCustomers use Aglide as their sole SSO or connect it to their existing provider - using Aglide as a catch-all for the services where it's unviable to use SAML.\n\n—\n\n# **You could be live within a day**.\n\nTo learn how Aglide could cut your SaaS bills and improve your security posture:\n\n* Email me → [p@aglide.com](mailto:p@aglide.com)\n* Book a Demo → [aglide.com/book-demo](https://aglide.com/book-demo)", "url": "https://www.ycombinator.com/launches/Jzu-aglide-sso-access-management-without-the-sso-tax", "votes": 20, "created_at": "2023-12-13T15:40:42.205Z" }, { "id": 73047, "title": "Aglide - Control your team's SaaS accounts, access, & bills", "tagline": "A password manager that shows what apps employees have, how much they cost, and whether they’re actually used.", "body": "**TL;DR:** Aglide is a password manager for startups - showing what apps employees have, how much they cost, and whether they’re actually used.\n\nFirms switch from 1Password to simplify cost tracking, cut unnecessary bills, and easily control who has what access.\n\n![uploaded image](/media/?type=post&id=73047&key=user_uploads/496743/8ad1a01e-fe4e-454f-bc90-6def902a059c)\n\n### Do you _really_ know what apps and access your employees (and ex-employees) have?\n\n**What** **SaaS subscriptions are you paying for?**\n\n“_Everyone has the same 5 core apps… Other than sales who has Pipedrive… Oh, and design uses Figma and Canva… Wait didn’t marketing get that social media tool…”_\n\n**Do you know if services are actually used?**\n\n“_I want everyone to start using our new AI meeting notes tool. Even you, intern that will never host a video call!”_\n\n**Do ex-employees have access to things they shouldn’t?**\n\n“_Just found out we never removed Yasmin from Github after she left. Now she’s working for our competitor!”_\n\n![uploaded image](/media/?type=post&id=73047&key=user_uploads/496743/d312afdf-7f4c-41a7-950b-b143fcab3e80)\n\n### Enterprise products solve this for enterprises, but not startups and scale-ups.\n\n**They require expensive “Enterprise Plans”:**\n\n* Each managed app needs upgrading to expensive SSO plans:\n * Figma goes from $12/month to $45/month (Ouch!)\n * GitHub goes from $4/month to $21/month (5x higher!)\n * Netlify won’t even tell you (but [these people](https://sso.tax/) say it goes from $19/month to $99/month)\n\n**You need to “Contact Sales”**\n\n* Enterprise services make you sit in a series of sales calls before you can even get started.\n* Founders are busy. They need the problem solved in minutes, not weeks.\n* Oh, and they are spectacularly complicated, so you better hire an IT guy to manage it all.\n\n![uploaded image](/media/?type=post&id=73047&key=user_uploads/496743/b4d75437-f1a3-43a0-be29-42807d715949)\n\n## Our Solution: Aglide\n\nAglide gives you the power of expensive enterprise tools, in a product that’s as easy to use as a password manager.\n\n![uploaded image](/media/?type=post&id=73047&key=user_uploads/496743/34766f94-b66d-4051-a502-386532c7a8c6)\n\n**Benefits for you:**\n\n* Set up and roll out to every employee in **less than 5 minutes.**\n* Monitor the apps each employee has and how much they cost.\n* Find and unsubscribe from expensive services no one is using.\n* Someone leaving? Get a list of all their apps to see what needs deactivated.\n\n**Benefits for your employees:**\n\n* Securely store any account, credit card, API key and more!\n* Create vaults to easily share accounts and items between teams.\n* Install the extension, and sign in once per day to seamlessly access all your apps.\n\n**Setting up Aglide and deploying it to your entire team takes less than 5 minutes.**\n\n### Our Ask\n\n* **Tell us the IT problems you want fixed:** We want to hear ALL about your IT pains. Email me at [p@aglide.com](mailto:p@aglide.com) or (if you’re a hero) book a call → [link](https://calendly.com/pdmcguckian/aglide-enquiry)\n* **Sign up today:** Sign up and migrate from 1Password in less than 5 minutes → [link](https://dashboard.aglide.com/join)\n\n![uploaded image](/media/?type=post&id=73047&key=user_uploads/496743/c0d0a347-44e7-4e90-b2bf-0820bbc15b9f)\n\n", "url": "https://www.ycombinator.com/launches/J0B-aglide-control-your-team-s-saas-accounts-access-bills", "votes": 44, "created_at": "2023-07-13T19:46:03.233Z" } ] }, { "id": 28935, "name": "Fortuna Health", "slug": "fortuna-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0f365057ccae10a0cfaf730387d65ea55aede28.png", "website": "https://fortunahealth.com/", "all_locations": "New York City, NY, USA", "long_description": "Fortuna is a one-stop solution that helps consumers navigate Medicaid end-to-end from eligibility and enrollment to renewing coverage. \r\n\r\nOur platform creates value as the middleware layer for the $800B Medicaid ecosystem.", "one_liner": "TurboTax for Medicaid", "team_size": 29, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1691019691, "tags": [ "Health Tech", "Healthcare", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/fortuna-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/fortuna-health.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/fortuna-health/", "x_url": "https://twitter.com/hifortunahealth", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0f365057ccae10a0cfaf730387d65ea55aede28.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1361784, "full_name": "Cydney Kim", "title": "Founder", "founder_bio": "Healthcare operator (Halo Dx, McKinsey, Bridgewater)", "is_active": true, "linkedin_url": "https://linkedin.com/in/cyd-kim", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b35a7b5f3eb100234e5081fe2991dd56a160521f.jpg" }, { "user_id": 1400986, "full_name": "Nikita Singareddy", "title": "Founder", "founder_bio": "Building the TurboTax for 90M Americans on Medicaid. Did things at Truepill, a16z, RRE Ventures, and Oscar Health.", "is_active": true, "linkedin_url": "https://linkedin.com/in/nikita-m-s", "x_url": "https://twitter.com/singareddynm", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/021b17d5948b302cfde2fb657ec4b3a600507ea5.jpg" }, { "user_id": 1402830, "full_name": "Ben Wesner", "title": "Founder", "founder_bio": "First SWE @ Juniper (W21), Bloomberg, Brown '18", "is_active": true, "linkedin_url": "https://linkedin.com/in/benjaminwesner", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a65af312767dcb1154bac3caba29e40bc9de5907.jpg" } ], "jobs": [ { "id": 71017, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/fortuna-health/jobs/6jkbCBj-senior-software-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $200K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 78966, "title": "Operations Lead", "url": "https://www.ycombinator.com/companies/fortuna-health/jobs/9qAiMUW-operations-lead", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$160K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 83002, "title": "Product Operations Associate", "url": "https://www.ycombinator.com/companies/fortuna-health/jobs/bmGIxsh-product-operations-associate", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$90K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Exclusive: Medicaid navigator Fortuna Health inks $4M seed joined by John Legend", "url": "https://www.axios.com/pro/health-tech-deals/2023/11/15/medicaid-navigator-fortuna-health-raises-4m-seed-john-legend-a16z", "date": "Nov 15, 2023" } ], "launches": [ { "id": 73742, "title": "Fortuna Health: TurboTax for Medicaid", "tagline": "We simplify Medicaid application filing and renewals", "body": "**TLDR** - Fortuna Health is TurboTax for Medicaid. We simplify Medicaid application filing so consumers can easily check eligibility, enroll, and renew their coverage.\n\n**The Problem**\n\nToday, \\~90M Americans on Medicaid face acute challenges with eligibility screenings and (re)enrollment. It takes hours for consumers to navigate glitchy websites and long, paper Medicaid forms.\n\n![uploaded image](/media/?type=post&id=73742&key=user_uploads/89898/ebdc0992-91cf-4f63-b15d-9fd3402c314b)\n\nThe experience is so poor that procedural reasons (e.g., form errors, missing a notice in the mail) account for a staggering 75% of disenrollments. This is terrible for consumers who lose coverage and produces huge downstream consequences: Medicaid health plans (MCOs) lose over $30B from churn, providers suffer $13B in lost patient revenue and uncompensated care, and states waste $8B on administrative costs.\n\nMore than ever before, Medicaid enrollment demands immediate attention given the ongoing Medicaid redetermination crisis putting 15M enrollees at risk of losing coverage in the next 18 months.\\\n**\\\nOur Solution**\n\nFortuna solves the $57B enrollment problem with a consumer product (beautiful, simple state Medicaid filing experience just like Turbotax is for taxes). By making products that consumers want to use, we unlock immense value for providers and health plans.\n\n![uploaded image](/media/?type=post&id=73742&key=user_uploads/89898/a3771849-1883-4036-8992-88cec6086161)\n\nOur unique approach provides consumers with a seamless web experience, eliminating the need to interact with state portals. We offer 60-second eligibility checks and 5-minute (re)enrollment in 7 languages. To accelerate completing applications, we allow consumers to connect accounts that auto-populate their filings, provide a \"virtual\" mailbox for state and health plan communications, and send text notifications for urgent actions.\n\nProviders and health plans have had limited real-time visibility into enrollment and revenue risk until now. The Fortuna platform allows providers and health plans to seamlessly monitor Medicaid enrollment status and consumer next steps, receive real-time updates on contact information, and benefit from comprehensive analytics.\n\nOur vision is to transform the enrollment experience and expand our products to become the consumer-facing digital infrastructure that powers the $800B+ Medicaid ecosystem.\n\n**The Team**\n\nWe’re all former operators and engineers with experience scaling early and mid-stage healthcare startups that covered Medicaid.\n\n* Cydney is a former management consultant who helped scale a health tech company from seed to Series C as General Manager and VP of Operations and Strategy. 30% of the company’s patients were Medicaid beneficiaries.\n* Ben was the first software engineer at behavioral health revenue cycle startup Juniper (YC W21) and helped grow the engineering team to 12. Almost 40% of children in the US are covered under Medicaid/CHIP.\n* Nikita started her career at Oscar Health and spent the past 2 years at Truepill (YC S17) building pharmacy solutions for community health centers and FQHCs that served Medicaid patients. She was born on public assistance.\n\n**The Ask**\n\nKnow any health plans, hospitals, and provider organizations with large Medicaid populations? Please reach out to [**founders@fortunahealth.com**](mailto:founders@fortunahealth.com)", "url": "https://www.ycombinator.com/launches/JBO-fortuna-health-turbotax-for-medicaid", "votes": 101, "created_at": "2023-08-02T23:55:00.179Z" } ] }, { "id": 28936, "name": "Empirical Health", "slug": "empirical-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd8134cbe5b8ea696157c320672eb55cc8649540.png", "website": "https://empirical.health", "all_locations": "New York City, NY, USA", "long_description": "Don't die of heart disease. While heart disease is the #1 killer worldwide, 80% of heart disease is preventable.\r\n\r\nEmpirical's program starts with an advanced lab test with 100+ biomarkers, including ApoB, Lp(a), inflammation, and more. Then, we help you model your lifetime risk of heart disease and generate a plan to reduce your risk to an optimal level. Then we help you achieve that plan.\r\n\r\nEmpirical is licensed, registered, and insured to deliver real medical care in 30+ US states covering 200m+ people. We're growing >25% monthly.", "one_liner": "Don't die of heart disease. Empirical is the first AI-native heart…", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare -> Consumer Health and Wellness", "launched_at": 1689658487, "tags": [ "Generative AI", "Machine Learning", "Consumer Health Services", "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Consumer Health and Wellness" ], "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/empirical-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/empirical-health.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/empiricalhealth/", "x_url": "https://twitter.com/EmpiricalHlth", "fb_url": "https://www.facebook.com/EmpiricalHLTH", "cb_url": "https://www.crunchbase.com/organization/empirical-health", "github_url": "http://github.com/EmpiricalHealth", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd8134cbe5b8ea696157c320672eb55cc8649540.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 11792, "full_name": "Brandon Ballinger", "title": "Founder", "founder_bio": "AI in medicine.\n\nCo-founder at\n * Empirical Health (YC S23) - full stack preventive heart health scaled with AI\n * Cardiogram (acquired) - deep learning for heart disease\n * Sift - top 50 YC company, machine learning for fraud detection.\n\nAlso:\n * HealthCare.gov rescue team\n * Google tech lead on machine learning for speech recognition\n * Head of Risk Engineering at Brex", "is_active": true, "linkedin_url": "https://linkedin.com/in/brandonballinger", "x_url": "https://twitter.com/bballinger", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a29f270bcb83b372b9bdb5cdc4e58a0ba6c376b.jpg" }, { "user_id": 1360101, "full_name": "Raquel Rodriguez Martinez", "title": "Founder", "founder_bio": "Physician | Health Technology | Co-founder at Empirical Health | Previously Assistant Clinical Professor at UCSF & Family Medicine at Kaiser", "is_active": true, "linkedin_url": "https://linkedin.com/in/raquel-rodriguez-martinez", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a95a90089a93018c4a6bc76e79402beaefdca047.jpg" } ], "jobs": [], "news": [ { "title": "This new health protocol combines 40 smartwatch biomarkers and blood tests to give you a health score | TechRadar", "url": "https://www.techradar.com/health-fitness/this-new-health-protocol-combines-40-smartwatch-biomarkers-and-blood-tests-to-give-you-a-health-score", "date": "Mar 11, 2025" }, { "title": "This app turns your smartwatch data into a personal health assistant, and it just launched on Android | TechRadar", "url": "https://www.techradar.com/health-fitness/this-app-turns-your-smartwatch-data-into-a-personal-health-assistant-and-it-just-launched-on-android", "date": "Feb 24, 2025" }, { "title": "Empirical Health is launching to 47 million midwesterners", "url": "https://data.empirical.health/p/midwest-primary-care", "date": "Dec 12, 2023" }, { "title": "Empirical Health app brings proactive primary healthcare to the Apple Watch", "url": "https://bgr.com/tech/empirical-health-app-brings-proactive-primary-healthcare-to-the-apple-watch/", "date": "Jul 18, 2023" } ], "launches": [ { "id": 90204, "title": "Empirical: don't die of a heart attack", "tagline": "Measure, predict, and prevent your risk of heart disease", "body": "Hi! We’re Brandon, Raquel, Harish, and Wyatt—we’re a team of doctors and engineers here to help you improve your heart health. We previously worked at Kaiser, Google, and Apple, and ran one of the first studies to use deep learning to detect abnormal heart rhythms using the Apple Watch's heart rate sensor.\n\n**Heart disease kills more people than all cancers combined**—but it’s also the area of health most in your control. **80% of heart attacks** can be avoided, and your risk is predictable using [statistical models up to 30 years in advance](https://www.empirical.health/blog/heart-attack-risk-calculator/).\n\nToday, we’re **launching Empirical heart health**. We help you measure key heart biomarkers (including ApoB), predict your personal heart disease risk, and build a tailored action plan—covering nutrition, medication, and exercise.\n\nHere’s how it works. Or just [get started now](https://www.empirical.health/product/comprehensive-health-panel).\n\n# **Measure: 85+ biomarkers for $190**\n\n![uploaded image](/media/?type=post&id=90204&key=user_uploads/11792/753c7d44-dc07-427d-a094-f96ae817412c)\n\nEmpirical heart health starts with a $190 test measuring 85+ biomarkers—available at 2,200+ locations nationwide.\n\nYou’ll get insights into key heart markers like:\n\n* **ApoB**: every [10 mg/dL drop cuts heart disease risk by 9%](https://www.empirical.health/blog/apob-blood-test/)\n* **Lp(a)**: up to [6x more atherogenic](https://www.empirical.health/blog/lipoprotein-a-blood-test/) than regular LDL\n* **Cholesterol & Triglycerides**: core inputs into [heart attack risk predictors.](https://www.empirical.health/blog/heart-attack-risk-calculator/)\n* 80+ others: inflammation (hs-CRP), cell counts, electrolytes, creatinine, glucose, ketones, and more.\n\n# **Predict: model your heart attack risk**\n\n![uploaded image](/media/?type=post&id=90204&key=user_uploads/11792/c6b20b30-392f-4d5f-9586-8440b6b782f6)\n\nNext, we show how your heart attack risk could change by age 70—\n\n* If you do nothing\n* If you follow a tailored plan with medication, diet, and exercise\n\nMany people cut their risk by 50% or more with the right changes.\n\n# **Prevent: personalized action plans**\n\n![uploaded image](/media/?type=post&id=90204&key=user_uploads/11792/0a3741e8-1518-41cc-afda-ca50302a3d83)\n\n_“Eat less red meat.” “Eat more greens.”_ You’ve heard it all before.\n\nThis is different. We build a biomarker-driven nutrition plan tailored to your bloodwork—targeting the **exact** nutrients that matter for your heart. These tailored plans have been shown in the medical literature to be about twice as effective as a simple \"eat more fruits and vegetables\" diet.\n\nAnd tracking? Just snap a photo of your meal. We’ll use AI to analyze nutrients like fiber, potassium, sodium, saturated fat, and more.\n\n# **Help prevent 1 million heart attacks**\n\nHelp us save one million people from heart disease by 2027. Empirical Heart health is available today across 30+ states, reaching over 200 million people.\n\n[Get started yourself](https://www.empirical.health/product/comprehensive-health-panel), or share with a loved one.", "url": "https://www.ycombinator.com/launches/NSu-empirical-don-t-die-of-a-heart-attack", "votes": 18, "created_at": "2025-05-08T14:04:54.403Z" }, { "id": 81886, "title": "Empirical: Your personal healthcare assistant", "tagline": "Transform your biomarkers into a personalized care plan, reviewed by a real human doctor", "body": "Hi! We’re Raquel and Brandon. Last year we launched Empirical Health in four states — today we’re launching a major update.\n\nEmpirical Health 2.0 transforms your biometric data and personal goals into a customized health plan. To ensure safety, your care plan must always be reviewed with a real human doctor, who can order necessary labs, referrals, or prescriptions. Medical care through Empirical is now available to 200 million people across 27 states.\n\n![uploaded image](/media/?type=post&id=81886&key=user_uploads/11792/0dd4da20-de1b-4eb7-968b-bc7d01daf62e)\n\n## Here’s how Empirical can help you live a healthier life:\n\n* Let’s say you have **low deep sleep**. Empirical will analyze your sleep stages and bedtime consistency to design a protocol to assess sleep hygiene, risk of sleep apnea, and recommend further testing, reviewed by a doctor.\n* **Want to increase VO2Max?** Empirical crafts an exercise protocol with Norwegian 4x4s, Zone 2 training, and strength training to improve VO2Max.\n* **Suffering from Long Covid, Dysautonomia, or POTS**? Empirical creates a plan to evaluate you for POTS. It starts with taking orthostatic vitals using a heart rate monitor and a blood pressure cuff (essentially, an [at-home version of the $1,900 tilt table test).](https://turquoise.health/services/evaluation-of-heart-function-using-tilt-/) Then, we use your ECG and blood test results to rule out other causes of tachycardia. If positive, a personalized care plan with medication, low-intensity exercise (based on the science behind the CHOP protocol), and hydration strategies are designed (and unlike the VO2Max program above, we avoid high-intensity training to prevent crashes).\n\n# **Why does this matter?**\n\nWe’re facing a **massive primary care shortage**. Simply providing recommended preventive health [would require 27 hours per day from the average primary care doctor](https://www.fiercehealthcare.com/providers/primary-care-docs-need-27-hours-day-provide-guideline-based-care-study-finds)—clearly an impossible task.\n\nWhile [LLMs have already passed medical licensing exams](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931230/), one missing piece has been grounding in objective, physical biomarkers. We think the combination of broadly available consumer devices like Apple Watch (which generates 240,000 data points per year and has multiple FDA clearances) and health information exchanges (which offer objective outcomes, such as hospitalizations or ER visits) makes it possible to ground medical AI in objective physical data.\n\nWant to try it? Book an appointment, or download the app (currently available on iOS and compatible with Apple Watch) at [https://empirical.health.](https://empirical.health)\n\n![](https://media-cldnry.s-nbcnews.com/image/upload/t_fit-1500w,f_auto,q_auto:best/newscms/2016_10/749406/baymax.jpg)\n\n", "url": "https://www.ycombinator.com/launches/LIk-empirical-your-personal-healthcare-assistant", "votes": 19, "created_at": "2024-07-17T04:19:44.857Z" }, { "id": 73170, "title": "🩺 Empirical Health: Proactive primary care", "tagline": "We use AI to scale great primary care for everyone.", "body": "**TL;DR:** [Empirical Health](https://empirical.health/) is proactive primary care. You can get medical care for heart health, POTS / long covid, sleep apnea, and other primary care needs directly through our app, starting today.\n\nDownload [Empirical Health on the App Store](https://apps.apple.com/app/apple-store/id6449271489). \n\n## **The Problem**\n\n* **Healthcare is expensive and wasteful**. We spend $1.1T per year reacting to the complications of chronic illness and a fraction of that on prevention. While the best boutique primary care models [reduce hospitalizations by 51%](https://brandonmb.substack.com/p/what-oak-street-health-got-right) and overall medical spend by [15-30%](https://www.healthcaredive.com/news/medicare-direct-contracting-aco-reach-oak-street-clover/637854/), they're labor intensive, expensive, and don’t scale.\n* **Terrible patient experience.** Did you know the average doctor has a net promoter score of -1.2, and that it takes 26 days on average to get an appointment?\n* **Not enough doctors**. It would take a primary care physician [27 hours _per day_](https://www.fiercehealthcare.com/providers/primary-care-docs-need-27-hours-day-provide-guideline-based-care-study-finds) just to deliver the currently-recommended set of preventive screenings, and things are about to get worse: [1 in 4](https://jamanetwork.com/journals/jama/fullarticle/2790791) doctors plan to leave primary care in the next 3 years.\n\n## **Our Solution**\n\nEmpirical Health is **proactive primary care that scales. Using AI, we triage healthcare resources to efficiently manage chronic illness** and succeed in value-based care payment models.\n\n![uploaded image](/media/?type=post&id=73170&key=user_uploads/11792/a630f1a3-c94a-4aad-bd67-21aed986f07b)\n\n* We've built a **fully licensed, registered, insured virtual medical practice**. Within the Empirical Health app, we can help you with annual preventive visits, sick virtual visits, chronic disease management, labs, prescriptions, referrals, and more. Medical care is initially available in California, Texas, Florida, and Hawaii and the app is available globally.\n* **No wait times**. Just start chatting with a doctor immediately.\n* Behind the scenes, our **AI-enabled EMR** software helps our in-house physicians turn raw patient data (e.g, symptoms, past medical records, sensor data from Apple Watch and similar devices) into clinically-useful insights.\n* **Affordable and transparent pricing:** $9/month subscription, with video visits covered by major health insurance.\n\nWe think this is the first step toward building the primary care of the future, making use of both new technologies (AI, consumer health sensors, virtual modalities) and new business models (value-based care).\n\n## **Who are we?**\n\nThe stars aligned to bring our team together — we're a doctor and an engineer who share a deep passion for improving healthcare by bridging a data-driven approach with emerging technologies. We first met at Cardiogram (deep learning for heart health), Brandon’s prior company, where Raquel was a visiting scholar. [Raquel Rodriguez Martinez](https://www.linkedin.com/in/raquel-rodriguez-martinez/) was previously a Clinical Assistant Professor at UC San Francisco and a physician at Kaiser. [Brandon Ballinger](https://www.linkedin.com/in/brandonballinger/) co-founded Cardiogram and also Sift (machine learning for fraud detection, top 50 YC company), and worked on Risk Engineering at Brex, the [HealthCare.gov](http://HealthCare.gov) rescue team, and machine learning at Google.\n\n## **You can help us make healthcare better!**\n\n* Do you use an Apple Watch or need a primary care doctor? Download [Empirical Health on the App Store](https://apps.apple.com/app/apple-store/id1623615785) or check us out on [Product Hunt](https://www.producthunt.com/posts/empirical-health).\n* Do you or someone you know work for a health insurer on value-based payment models? Email [founders@empirical.health](mailto:founders@empirical.health).", "url": "https://www.ycombinator.com/launches/J2A-empirical-health-proactive-primary-care", "votes": 57, "created_at": "2023-07-18T14:38:51.523Z" } ] }, { "id": 28937, "name": "LifestyleRx", "slug": "lifestylerx", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1bc4c241b5d87cd6eb24ee55548f15212d6dbc10.png", "website": "https://lifestylerx.io/", "all_locations": "White Rock, BC, Canada; St. Thomas, ON, Canada; Remote", "long_description": "LifestyleRx delivers insurance-covered virtual care for Type 2 Diabetes reversal. Our doctors guide patients through lifestyle changes to reverse the underlying process of diabetes.", "one_liner": "Virtual Care for Type 2 Diabetes Reversal", "team_size": 9, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare Services", "launched_at": 1691079257, "tags": [ "Health Tech", "Telehealth", "Healthcare", "Health & Wellness" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare Services" ], "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/lifestylerx", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/lifestylerx.json", "year_founded": 2022, "city": "White Rock", "country": "CA", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1bc4c241b5d87cd6eb24ee55548f15212d6dbc10.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1247082, "full_name": "Jason Kerkvliet", "title": "Founder", "founder_bio": "Founder and CEO, LifestyleRx. \nRecovering EMR founder, Princeton grad, delivering Type 2 Diabetes reversal to thousands of patients!", "is_active": true, "linkedin_url": "https://linkedin.com/in/jason-kerkvliet-292685107", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a199473f09d01cbdd77dd1a2b7942a6702de78ca.jpg" }, { "user_id": 1247262, "full_name": "Brendan Byrne", "title": "Founder", "founder_bio": "Founder and Chief Medical Officer, LifestyleRx.\nLifestyle medicine physician and serial entrepreneur.\nHusband, father (x3), runner, skier and outdoors enthusiast.", "is_active": true, "linkedin_url": "https://linkedin.com/in/brendan-byrne-17274b", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/49f9af9b2becb3cd6784d4cfef78aa6658b4fb5c.jpg" }, { "user_id": 1247096, "full_name": "Jack Hilliard", "title": "Founder", "founder_bio": "Seasoned CPA with years of experience growing, scaling and exiting tech-based companies. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/jackmhilliard", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/06c95531e8c805a0a18252c352b80e8e8efe0d64.jpg" }, { "user_id": 1247086, "full_name": "Daniel Pfingstgraef", "title": "Founder", "founder_bio": "Founder and CTO at LifestyleRx.\nBuilt my first EMR when I was 14 for my parent's audiology practice. Studied Computer Science at Western University (London, ON).", "is_active": true, "linkedin_url": "https://linkedin.com/in/pfingstgraef", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/498d9943f27dae35b45b09a228bbec525a28d147.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73770, "title": "LifestyleRx - Virtual care for Type 2 Diabetes reversal", "tagline": "We help patients make lifestyle changes to reverse Type 2 Diabetes, covered by existing health insurance", "body": "**tl:dr;** LifestyleRx provides virtual care for Type 2 diabetes reversal.  Our doctors guide patients through lifestyle changes to reverse the underlying process of diabetes, billing insurance so we can deliver life-changing outcomes at little or no cost to the patient.  We have 2,000 patients in our program today and are adding 500 more every month.\n\n \n\nWe’re Dan, Brendan, Jason, and Jack, the cofounders of [LifestyleRx](https://lifestylerx.io)!\n\n \n\n![uploaded image](/media/?type=post&id=73770&key=user_uploads/1247082/8009148c-572c-4884-b57d-90dc452a5111)\n\n \n\nWe are all former health tech founders who previously built and exited EMR businesses in Canada.  We’re united by our passion for helping diabetic patients as we all have close family who are diabetic.  And we’re also rooted in a real-world understanding of the complex healthcare system, warts and all, from our years working in it.\n\n \n\n### **Another Diabetes Startup?**\n\nThe market is full of employer-facing diabetes management apps that haven’t worked. Diabetes costs more than $237B in direct medical expenses every year, and there are >100M Americans with either prediabetes or Type 2 diabetes.\n\nThe solution to this problem needs two things:\n\n1. A focus on diabetes reversal, where sustained drug-free remission is the goal.  Lots of apps reduce diabetes costs by \\~5%.  We aim for 95%.\n2. Use the healthcare system we have – bill fee-for-service, accept patient referrals, be covered for everyone with insurance – and build a lean operation to power it.\n\n \n\nWe’re building a modern virtual care provider that can meet this need, combining the best of compassionate physician care with infinitely scalable technology to fit profitably into the real world of insurance reimbursement. \n\n  \n\n### **46% of Patients Reach the Remission Range**\n\nToday we have 2,000 patients in our program, and we deliver 46% of them into the A1C range for diabetic remission – that is, the lab range for someone without diabetes.  This adds years to their lives, offsets hundreds of thousands in lifetime healthcare costs, and significantly reduces the risk of heart disease and cognitive decline.\n\n![timeline](https://media.licdn.com/dms/image/D5622AQFdJxzZM_nMjA/feedshare-shrink_2048_1536/0/1687880971696?e=1694044800&v=beta&t=ofkErOL_pd8t3nbIqMHPtP0_zGCuKCzHaOntjhNkubA)\n\n \n\n### **Doing It Profitably**\n\nThe key to making all of this work is provider leverage.  We make technology that gives our doctors superpowers.  They can complete documentation in a fraction of the time of their peers (<20%) and handle group medical sessions with ease (one of the best-reimbursed services in healthcare because it’s usually so arduous).\n\nWe built our own EMR platform, connecting every decision physicians make to real patient data – including readiness-for-change, behavioral momentum, and more.\n\n![uploaded image](/media/?type=post&id=73770&key=user_uploads/1247082/631140dd-4176-432a-a0dc-e736b9d078e4)\n\n \n\nOur patients spend only a couple of hours with physicians but have more than 20x hours of connection with their physicians – as they learn through personalized content, understand their disease through interactive reports that contextualize their data, and work step-by-step through implementing their recommended lifestyle changes.  In the future we will leverage LLMs to answer patient questions and guide them through changes, further increasing this provider leverage ratio.\n\n![uploaded image](/media/?type=post&id=73770&key=user_uploads/1247082/a6e571be-d442-4c12-a901-97437813c98b)\n\n \n\n \n\n### **We’re going to shrink this market**\n\nDiabetes is a $237B market in the US.  Diabetes reversal and maintenance will be a $36B market.  For every $1 spent on diabetes reversal, we offset $15 spent on diabetes care.  And that’s great because the healthcare system needs those dollars for other things.\n\nType 2 diabetes is just the beginning, as lifestyle medicine can also transform costs across a range of cardiometabolic diseases.  LifestyleRx is the lifestyle prescription for those diseases, and we intend to build a solution that can scale to the size of this vast problem.\n\n\\-\n\nTo get in touch, email [jason@lifestylerx.io](mailto:jason@lifestylerx.io)", "url": "https://www.ycombinator.com/launches/JBq-lifestylerx-virtual-care-for-type-2-diabetes-reversal", "votes": 20, "created_at": "2023-08-03T18:45:06.551Z" } ] }, { "id": 28938, "name": "Glade", "slug": "glade", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/39e64fe4e49894144581ae2ef69befe4cb83f6b8.png", "website": "https://gladestudio.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Glade is helping everyone build games with AI. GladeCore powers hundreds of studios and developers with locally powered AI NPCs that include TTS, STT, emotional tuning, and RAG. GladeKit is Cursor for Games - an AI agent that lives directly in your game engine and builds games for you. ", "one_liner": "Build games at the speed of thought", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1687994809, "tags": [ "Generative AI", "Consumer", "Entertainment", "Gaming", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/glade", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/glade.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/gladegamestudio", "x_url": "https://x.com/GladeStudio", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/39e64fe4e49894144581ae2ef69befe4cb83f6b8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a26e6511816713a17d7f2cec1d66dc6d5d18441c.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 424004, "full_name": "Daniel Fang", "title": "Founder", "founder_bio": "Daniel is the CEO and co-founder of Glade. He has years of experience working in banking, strategic finance, and venture capital. He has previously worked at Navan, Ocean Tomo, and Goldman Sachs.", "is_active": true, "linkedin_url": "https://linkedin.com/in/danielfang7", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2d257131f2a20e76faf35a42e3d3955091e1c875.jpg" } ], "jobs": [], "news": [ { "title": "Our favorite startups from YC's Summer 2023 Demo Day, Day 1 | TechCrunch", "url": "https://techcrunch.com/2023/09/06/ycombinator-demo-day-one-summer-2023/", "date": "Sep 06, 2023" } ], "launches": [ { "id": 98702, "title": "GladeKit: AI agent for game development", "tagline": "AI agent that understands your Unity project and builds directly inside it (Unreal Engine next)", "body": "GladeKit is an AI agent that understands your Unity project and can create systems, modify scenes, and fix bugs directly inside your engine. It doesn’t just generate code snippets - it takes direct action inside your project.\n\n**Demo**: \n\n# **The problem**\n\nMost AI tools for game development don’t see your scene hierarchy, prefabs, or existing systems, so developers end up copying code into Unity, wiring components together, fixing errors, and repeating the process.\n\nThis constant context switching slows down shipping real gameplay.\n\n# **The solution: an engine-aware AI agent**\n\nGladeKit connects directly to your Unity project and understands the full context of your game. It reads your scripts, assets, scene hierarchy, and components, then plans and executes changes directly inside the engine.\n\nWhat that looks like in practice:\n\n* 150+ native Unity actions: create prefabs, wire up Animator Controllers, configure physics, build UI, set up lighting, bake NavMeshes - all from natural language\n* Full project awareness: the AI sees your scene hierarchy, active errors, render pipeline, selected objects, and script content before it does anything\n* Three modes built for different workflows: Agent, Debug, and Ask\n* Turn-by-turn revert: every change the AI makes is tracked and reversible, with a built-in script diff viewer so you see exactly what changed\n\nYou describe what you want, and GladeKit builds it inside your project.\n\n# **How it works**\n\nGladeKit indexes your Unity project and builds a structured understanding of:\n\n• Scripts and APIs\n\n• Scene hierarchy and GameObjects\n\n• Prefabs, assets, and components\n\nWhen you request a change (for example: “Create a player controller with WASD movement” or “Fix this null reference error”), it generates a plan and applies the required changes directly to the project.\n\n# **The ask**\n\n1. If you’re building a game in Unity, we’d love for you to try GladeKit.\n2. If you know indie studios or teams experimenting with AI dev tools, intros would be hugely appreciated.\n\nTry it for free here:\n\n\n\n![uploaded image](/media/?type=post&id=98702&key=user_uploads/424004/56ba163b-c05d-45b7-a278-2107abed2ba8)\n\n", "url": "https://www.ycombinator.com/launches/Pfy-gladekit-ai-agent-for-game-development", "votes": 5, "created_at": "2026-03-12T15:09:48.531Z" }, { "id": 72665, "title": "Glade - Enterprise grade platform for financial planning", "tagline": "We helps companies build, manage, and visualize their financial plan in real-time", "body": "**_Tl;dr:_** _Finance teams spend 75% of their time on manual processes, and existing tools in the market are extremely difficult to adopt. Glade is a user-first, fully integrated platform that helps enterprises and scaling companies streamline their financial planning, reporting, and analytics. Check out our_ [_website_](https://gladetool.com) _to learn more._\n\nHi everyone, we’re Daniel and Aaron, the co-founders of Glade!\n\n![uploaded image](/media/?type=post&id=72665&key=user_uploads/424004/0b41811b-ce06-4f98-9c81-60bded2fe769)\n\n### **🧨 Problem: Financial Planning is Painful and Tedious**\n\nWithin growing companies and enterprises, there is no single source of truth for financial data, and finance teams are wasting too much time on manual tasks. Daniel was a finance manager at his last company and spent hours every day manually preparing data and handling simple requests from business partners. \n\nExisting tools are also extremely difficult to adopt and implement. Daniel’s previous company implemented Anaplan and paid hundreds of thousands each year for it, yet only one person in his entire company learned how to properly use it. \n\n### **🚀 Solution: A User-First, AI-Powered Financial Platform**\n\nGlade helps companies build, manage, and visualize their financial plan in real-time. \n\nUnlike existing enterprise tools, we fully integrate with all business apps (such as Netsuite, Workday, and Snowflake) to automate the flow of data directly from these apps to your team’s Google Sheets and Excel models. Through our integrations and data enrichment, Glade serves as the central source of truth for all financial data within a company. \n\nOur platform also empowers leaders across the company to make informed decisions and stay aligned. By leveraging AI, we allow users to self-serve financial data through our platform and use natural language to create custom, board deck-ready visualizations in seconds. Want to check how your business is performing in the APAC region? Just ask Glade: “How has my revenue trended in APAC over the last 3 months?” Using AI, we will produce a high-quality chart for you in seconds.\n\n![uploaded image](/media/?type=post&id=72665&key=user_uploads/424004/75f11c06-8d2a-42e8-adc9-08f67408016f)\n\nUsing Glade, companies: \n\n✔️ Speed up financial planning, month-end close, and investor/board deliverables by 2x \n\n✔️ Improve reporting and forecast accuracy by eliminating errors from manual data pulls  \n\n✔️ Align leaders and teams across the company to financial objectives\n\n### **💲Opportunity Size:**\n\nThe total addressable market for enterprise financial planning is $50B. Anaplan is a leader in the space, with a market capitalization of almost $10B. \n\nHowever, with a recorded NPS of -38 and poor user adoption across its customers, legacy enterprise tools like Anaplan are bound to be replaced. \n\n### **❔Our Ask:**\n\nConnect us to CEOs, CFOs, and finance leaders in your network. To contact us, [click here](mailto:daniel@gladetool.com)\n\nIntroduce us to any warm connections you have in fast-growing companies or enterprises. [click here](mailto:daniel@gladetool.com)\n\nAre you a founder and interested in using our software to improve your financial planning process? To schedule a meeting with Glade, [click here](https://calendly.com/danielglade/30min)", "url": "https://www.ycombinator.com/launches/Iu1-glade-enterprise-grade-platform-for-financial-planning", "votes": 21, "created_at": "2023-06-29T22:04:03.669Z" } ] }, { "id": 28939, "name": "CareOasis", "slug": "careoasis", "former_names": [ "EasyPani", "CaseHopper", "Casehopper", "The Care Oasis", "Casehopper", "The Care Oasis" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7131efa53a79eb89359df8d51f8b34ad258b0087.png", "website": "https://www.thecareoasis.com", "all_locations": "Dover, DE, USA; Remote", "long_description": "", "one_liner": "Get Paid for Family Caregiving", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Consumer Health and Wellness", "launched_at": 1688331487, "tags": [ "Consumer Health Services", "Healthcare", "Health Insurance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Consumer Health and Wellness" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/careoasis", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/careoasis.json", "year_founded": 2023, "city": "Dover", "country": "US", "linkedin_url": "https://www.linkedin.com/company/careoasis", "x_url": "", "fb_url": "https://www.facebook.com/TheCareOasis", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7131efa53a79eb89359df8d51f8b34ad258b0087.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5e1c6701b6e34a69b52e693f16471b22be4efb16.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 541118, "full_name": "Anuhya Vajapey", "title": "Founder", "founder_bio": "Background in ML in Healthcare, strategy at McKinsey, product at F5. Currently building in senior care space.", "is_active": true, "linkedin_url": "https://linkedin.com/in/anuhya-vajapey", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5cbf753a6b84303d827789a6fa865dc91af85bb1.jpg" }, { "user_id": 594295, "full_name": "Juan M Ochoa Ortiz", "title": "Founder", "founder_bio": "Founder and CTO at Casehopper. Previously at data science and software roles at Microsoft Bing, and Meta. Background building information extraction systems with language models.", "is_active": true, "linkedin_url": "https://linkedin.com/in/juanmanueloo", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e57444e56e76ada8e97d44fbc78a431900936f42.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28940, "name": "Guac", "slug": "guac", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ffff2e450f7c22939b75b50d62a49acbce05716.png", "website": "https://www.guac.com/", "all_locations": "New York City, NY, USA", "long_description": "Guac accurately forecasts grocery demand to help supermarkets order and produce the right amount of inventory — reducing food waste and increasing availability.", "one_liner": "AI-powered forecasting & replenishment for grocery", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1688056061, "tags": [ "Grocery", "Machine Learning", "Climate", "Supply Chain" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "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/guac", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/guac.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/guac-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ffff2e450f7c22939b75b50d62a49acbce05716.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": 1328192, "full_name": "Euro Wang", "title": "Founder", "founder_bio": "Co-Founder & CEO of Guac. Passionate about tackling food insecurity & waste with technology!", "is_active": true, "linkedin_url": "https://linkedin.com/in/eurowang", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b14c1e630ea2d7c23cae28383bd412bf53ab2aee.jpg" }, { "user_id": 1361004, "full_name": "Jack Solomon", "title": "Founder", "founder_bio": "Co-Founder and CTO of Guac. ML engineer working to make grocery retail more efficient.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jackasolomon", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/995482d8fecb6fd97f6aaffd15da4536953da04c.jpg" } ], "jobs": [ { "id": 95055, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/guac/jobs/qTXMy4i-forward-deployed-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Google Cloud", "Python", "AI Agents" ] }, { "id": 95386, "title": "Fullstack Engineer", "url": "https://www.ycombinator.com/companies/guac/jobs/s9SJAAT-fullstack-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Python", "React", "TypeScript", "Next.js" ] }, { "id": 95387, "title": "Backend Engineer", "url": "https://www.ycombinator.com/companies/guac/jobs/NECdEjo-backend-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $250K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Google Cloud", "Python" ] }, { "id": 100833, "title": "Strategy & Operations", "url": "https://www.ycombinator.com/companies/guac/jobs/IctDRvB-strategy-operations", "location": "New York, NY, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$150K - $180K", "equity_range": "0.30% - 0.80%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "How the Produce Aisle Inspired a Grocery Tech Startup", "url": "https://progressivegrocer.com/exclusive-how-produce-aisle-inspired-grocery-tech-startup", "date": "Jan 02, 2024" }, { "title": "Y Combinator-backed Guac trains algorithms to predict grocery demand | TechCrunch", "url": "https://techcrunch.com/2023/12/19/y-combinator-backed-guac-trains-algorithms-to-predict-grocery-demand/", "date": "Dec 19, 2023" }, { "title": "Our favorite startups from YC's Summer 2023 Demo Day, Day 1 | TechCrunch", "url": "https://techcrunch.com/2023/09/06/ycombinator-demo-day-one-summer-2023/", "date": "Sep 06, 2023" } ], "launches": [ { "id": 72798, "title": "🥑 Guac: Ending grocery food waste with AI", "tagline": "Hyper-accurate demand forecasting for supermarkets", "body": "**TLDR:** We tell grocery stores exactly how many avocados they’ll sell next Tuesday.\\\n\\\n[Guac](http://tryguac.co) uses machine learning to accurately predict how much grocery retailers will sell each day. This helps them order the perfect amount of inventory: enough to meet customer demand without sending tons of leftover food to landfill.\n\n### **🗑️ PROBLEM**\n\n* **Predicting future demand is hard**: product-level demand drastically fluctuates each day based on hundreds of factors like weather, road closures, and sports games. Yet, even the largest supermarket chains still use basic regression models or Excel formulas, which means … \n* **Tons of food waste and empty shelves**: which costs grocery retailers in Europe/US $188B and costs our planet 15 million metric tons of greenhouse gas emissions each year.\n\n### **🥑 OUR SOLUTION**\n\n* **Industry-leading algorithm** that predicts order quantities for each item, each day, each store location. Our average forecast error (MAE) for our current customers is 0.95 units, which translates to a 38% reduction in food waste.\n\n![](https://lh6.googleusercontent.com/ib8L-X2brvq2yDx0i7QlNLakpS-1x79zlJSzMI5phoohO6II0KB9q3GhWEilhqDc6sXoBUm24rj4NXCX4O5sTa9susviyZFku6vb0YzC9_qIVa0Nbq-6YMHvuNaBx_P8_30I8wteFfbGtJu_3g5vdqo)\n\n* How?\n * **More than just ML**: Grocery demand is driven by real world events that ML models don’t know exist. So we inject 230+ external variables to actually capture people’s buying behavior …  \n * **_For example,_** _we found that sports betting odds help us predict beer sales. When a sports match is predicted to be a close game, it turns out more people watch the game, driving up beer sales!_\n * **Customized** for each store location: grocery stores located just 5 miles apart have different customer behavior.\n* **Inventory ordering optimization**: We then turn our hyper-accurate predictions into useful inventory order quantities, based on individual SKU-specific requirements: minimum order quantities, promotions, unknown loss estimates, shelf life, supplier lead times, and more.\n* **Modular integration:** We integrate our ordering recommendations right into the retailer’s existing inventory ordering softwares and workflow. Whether inventory ordering is done at the HQ-level vs. store-level, we fit into the retailer’s system, instead of forcing them to uproot their system to fit into ours.\n\n### **🙏 OUR ASK**\n\nWe’d love introductions to grocery chains (anywhere in the world), especially:\n\n1. Discount grocery chains, with tighter margins\n2. Grocery chains in more remote locations (e.g. Hawaii), with longer supplier lead times and inflexible supply chain\n3. Asian grocery chains in the US, who import a lot of their products from abroad\n\nAnd if you know anyone in the general food/grocery space (POS providers, suppliers/distributors, grocery food waste charities, etc), please let us know at [founders@tryguac.co](mailto:founders@tryguac.co).", "url": "https://www.ycombinator.com/launches/IwA-guac-ending-grocery-food-waste-with-ai", "votes": 85, "created_at": "2023-07-06T00:47:22.192Z" } ] }, { "id": 28956, "name": "Letter AI", "slug": "letter-ai", "former_names": [ "Tractatus AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/780897b3519f82c91ac5a781f87078770774b6dd.png", "website": "https://www.letter.ai", "all_locations": "Chicago, IL, USA", "long_description": "Letter AI is the world's first generative AI powered revenue enablement platform. Build and maintain all the collateral and training you need 10x faster with generative AI. Personalize instantly by vertical or individual customers using existing data. Ask questions in real-time to your own co-pilot with expertise in your data. Scale coaching with AI simulations, including screen sharing for demo practice. Assess real calls with conversational intelligence and improve win rates with deal-specific coaching.", "one_liner": "End-to-end content, learning, & deal intelligence for B2B sales teams", "team_size": 70, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1686075662, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/letter-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/letter-ai.json", "year_founded": 2023, "city": "Chicago", "country": "US", "linkedin_url": "https://www.linkedin.com/company/letter-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/780897b3519f82c91ac5a781f87078770774b6dd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/83c6249563d346e57cc6a005ab7bf6b98dc630c2.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1316059, "full_name": "Ali Akhtar", "title": "Founder", "founder_bio": "Founder & CEO of Letter AI. A decade of experience in AI across various roles - as VP of ML Products at project44, ML Engineering Director at Samsara, and AI-focused consultant at McKinsey. Reach out to talk AI, enterprise SaaS, sales enablement, or anything else!", "is_active": true, "linkedin_url": "https://linkedin.com/in/m-ali-akhtar", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7f4b0d3d5775c610e801a2c2c7108c35f7658440.jpg" }, { "user_id": 1340401, "full_name": "Armen Forget", "title": "Founder", "founder_bio": "Co-Founder of Letter AI, software engineer, architect and leader. I started my career in military/aerospace and moved to distributed backends and ML Operations. Currently obsessed with the endless possibilities of generative AI and helping our enterprise customers leverage this technology with minimal friction.", "is_active": true, "linkedin_url": "https://linkedin.com/in/armenforget", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/231056f3df43f90bbd683ef029ac32006d36f901.jpg" } ], "jobs": [ { "id": 62567, "title": "Founding Engineer (Frontend)", "url": "https://www.ycombinator.com/companies/letter-ai/jobs/r0lZiVg-founding-engineer-frontend", "location": "Chicago, IL, US / San Francisco, CA, US / Remote (San Francisco, CA, US; Chicago, IL, US)", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$100K - $150K", "equity_range": "0.25% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "AI-Powered Revenue is Here", "url": "https://www.youtube.com/watch?v=znULXKSAN7o", "date": "Feb 25, 2026" }, { "title": "Pitch Deck: Letter AI Raises $40M, Unveils New Sales Software Feature - Business Insider", "url": "https://www.businessinsider.com/letter-ai-pitch-deck-raises-sales-software-2026-2", "date": "Feb 23, 2026" }, { "title": "The Next Chapter: Letter AI Raises Series A Funding to Help Revenue Teams Thrive", "url": "https://www.letter.ai/blog/the-next-chapter-letter-ai-raises-series-a-funding-to-help-revenue-teams-thrive", "date": "Oct 21, 2025" }, { "title": "Ushering in a new era of AI-powered revenue acceleration", "url": "https://www.letter.ai/blog/ushering-in-a-new-era-of-ai-powered-revenue-acceleration", "date": "Jun 11, 2024" } ], "launches": [ { "id": 73494, "title": "📈 Letter AI - Personalized and up-to-date sales enablement, built 10X faster with AI", "tagline": "We help your sales teams improve win rates by 30%+ at a fraction of the operational overhead with engaging AI generated enablement", "body": "**TL;DR:** [Letter AI](https://www.letter.ai/) empowers sales teams to create personalized enablement content using generative AI. Build and maintain sales assets and product trainings 10X faster using your existing docs and data, empowering reps to close deals instead of wasting hours chasing content.\n\n👋 **Hi we are Ali and Armen from **[**Letter AI**](https://www.letter.ai/)**.** We spent our careers building AI SaaS for enterprise customers at companies like Samsara and Cirrus Logic. As product and engineering leaders, we saw first hand how poor enablement led to time wasted and deals lost. We are building Letter AI to be the solution we wish our sales teams had.\n\n![uploaded image](/media/?type=post&id=73494&key=user_uploads/1316059/981d9300-f59d-43d8-a174-a59d42b6a3fa)\n\n### **❗The Problem**\n\n* **Sales teams feel uninformed about the products they sell.** 42% of sales reps feel they don't have enough information before calling a prospect. The problem is worse at companies with multiple or complex products.\n* **Sales teams squander hours finding the right content to share with customers and prospects.** Even when they find the content, it’s outdated or needs to be personalized for their customer. The average rep spends 440 hours per year doing this - that’s 20% of a 40 hour work week 😅\n* **Companies invest millions in sales enablement, but content goes out of date almost immediately and is impossible to personalize at scale.** Enterprises lose $2.3M on average annually from the opportunity cost of underused or unused content.\n\n### 📈 **Enter Letter AI**\n\nLetter AI leverages generative AI to create interactive and personalized enablement content in minutes, all from your existing documents and data (requirements docs, marketing decks, videos, Gong recordings, etc.). We’re building:\n\n* **AI-driven content creation and updates:** Simply provide your docs / data and few instructions to build interactive learning, product one-pagers, and more. Make updates everywhere with a single instruction.\n* **Personalization at scale:** Re-shape your content instantly for specific roles, industries, reps, or customers. Extract the most relevant content, personalize it, and share with customers using company PPT / PDF templates\n* **AI copilot for real-time help:** Enable your own ChatGPT-like AI assistant with expertise on your products. Reps can get the real-time help they need before going into meetings - or even during them\n* Plus the other things you know and love about enterprise sales software (collaboration, usage analytics, robust RBAC, etc.)\n\n💻 [**Here’s a demo**](https://www.loom.com/share/9fdab38ed7724d40a610e92df009cce0?sid=1b7c37bf-cbfd-4570-85da-a53217aa6594) of Ali building sales training in \\~5 minutes for a product he previously launched using just 2 public blog posts and API docs. The results are on par with what took product, marketing, and sales teams weeks to develop!\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=73494&key=user_uploads/1316059/338118a6-6d95-48e2-aade-161b9ee6090e)\n\n### **🙏 Asks**\n\n* **We are expanding our pilot program to include more customers!** If your company has a large or fast growing sales team and you want to supercharge enablement at a fraction of the overhead, reach out at [hello@letter.ai](mailto:hello@letter.ai).\n* **If you’ve been a part of the wonderful world of B2B sales or sales enablement, we would love your feedback.** Share product feedback and coffee / lunch / dinner / drinks are on us.", "url": "https://www.ycombinator.com/launches/J7O-letter-ai-personalized-and-up-to-date-sales-enablement-built-10x-faster-with-ai", "votes": 23, "created_at": "2023-07-27T14:54:51.043Z" } ] }, { "id": 28957, "name": "Continue", "slug": "continue", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6603bbbb05f3629720acc724a2c02719efad6f67.png", "website": "https://continue.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Acquired by Cursor", "one_liner": "Pioneering open-source coding agent", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1688142176, "tags": [ "Developer Tools", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/continue", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/continue.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/continuedev", "x_url": "https://twitter.com/continuedev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/continuedev", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6603bbbb05f3629720acc724a2c02719efad6f67.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 117092, "full_name": "Ty Dunn", "title": "Founder", "founder_bio": "Founder @Continue, Founding PM @Rasa, Computation @UMich", "is_active": false, "linkedin_url": "https://linkedin.com/in/tylerjdunn", "x_url": "https://twitter.com/tylerjdunn", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2e1c7a56abd0bde381039a2baa14a21dec99c50d.jpg" }, { "user_id": 623872, "full_name": "Nate Sesti", "title": "Founder", "founder_bio": "Co-founder @ Continue. Previously math and physics @ MIT ('24), first hire @ Mayan (W21), building mission control software @ NASA Jet Propulsion Laboratory", "is_active": false, "linkedin_url": "https://linkedin.com/in/natesesti", "x_url": "https://twitter.com/NateSesti", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/91fdbf7cb731ead4c4581e5a112fbe83f1103317.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73449, "title": "Continue: the easiest way to code with any LLM", "tagline": "An open-source autopilot for VS Code and JetBrains", "body": "Hi all! We’re Nate and Ty, co-founders of Continue.\n\n## **🔥 TL;DR**\n\n_Stop copy/pasting code from ChatGPT and take control of your development data 💪_\n\n[Continue](https://bookface.ycombinator.com/company/28957) is the open-source autopilot for software development built to be deeply customizable and continuously learn from development data.\n\nOur GitHub is . You can watch a demo of Continue and download the extension at .\n\n![uploaded image](/media/?type=post&id=73449&key=user_uploads/117092/248795a4-d22a-4f7d-a9fb-42c69d63a463)\n\n---\n\n## **💬 The Problem**\n\nA growing number of developers are replacing Google + Stack Overflow with Large Language Models (LLMs) as their primary approach to get help, similar to how developers previously replaced reference manuals with Google + Stack Overflow.\n\nUnfortunately, existing LLM developer tools are cumbersome black boxes. Developers are stuck copy/pasting from ChatGPT and guessing what context Copilot uses to make a suggestion. As we use these products, we expose our code and give implicit feedback that is used to improve their LLMs, yet we don’t benefit from this data nor get to keep it.\n\nThe solution is to give developers what they need: _transparency, hackability,_ and _control_. Every one of us should be able to reason about what’s going on, tinker, and have control over our own development data. This is why we created Continue.\n\n---\n\n## **⏩ The Solution**\n\nAt its most basic, Continue removes the need for copy/pasting from ChatGPT—instead, you collect context by highlighting and then ask questions in the sidebar or have an edit streamed directly to your editor.\n\nBut Continue also provides powerful tools for managing context. For example, type ‘@issue’ to quickly reference a GitHub issue as you are prompting the LLM, ‘@README.md’ to reference such a file, or ‘@google’ to include the results of a Google search.\n\nAnd there’s a ton of room for further customization. Today, you can write your own\n\n* slash commands (e.g. ‘/commit’ to write a summary and commit message for staged changes, ‘/docs’ to grab the contents of a file and update documentation pages that depend on it, ‘/ticket’ to generate a full-featured ticket with relevant files and high-level instructions from a short description)\n* context sources (e.g. GitHub issues, Jira, local files, StackOverflow, documentation pages)\n* templated system message (e.g. “Always give maximally concise answers. Adhere to the following style guide whenever writing code: {{ /Users/nate/repo/styleguide.md }}”)\n* tools (e.g. add a file, run unit tests, build and watch for errors)\n* policies (e.g. define a goal-oriented agent that works in a write code, run code, read errors, fix code, repeat loop)\n\nContinue works with any LLM, including local models using ggml or open-source models hosted on your own cloud infrastructure, allowing you to remain 100% private. While OpenAI and Anthropic perform best today, we are excited to support the progress of open-source as it catches up ().\n\nWhen you use Continue, you automatically collect data on how you build software. By default, this development data is saved to .continue/dev_data on your local machine. When combined with the code that you ultimately commit, it can be used to improve the LLM used by your team.\n\nYou can read more about how development data is generated as a byproduct of LLM-aided development and why we believe that you should start collecting it now: \n\nContinue has an Apache 2.0 license. We plan to make money by offering organizations a paid development data engine—a continuous feedback loop that ensures the LLMs always have fresh information and code in their preferred style.\n\n---\n\n## 🙏 **Our Asks**\n\n1. [**Star our GitHub repo**](https://github.com/continuedev/continue)\n2. Download for [**VS Code**](https://marketplace.visualstudio.com/items?itemname=continue.continue) & [**JetBrains**](http://plugins.jetbrains.com/plugin/22707-continue)\n3. Join our [**Discord**](https://discord.gg/NWtdYexhMs) & [**newsletter**](https://continue.dev/?ref=blog.continue.dev#newsletter)\n\n---\n\n## **❤️ The Team**\n\nWe started working on Continue because LLMs rapidly got better and quickly became an important part of our development workflows. In 2021, Ty was helping the research team at Rasa use GPT-3 to create user simulators and Codex to generate Actions code for Rasa Open Source—projects that did not result in shipped products because LLMs were not good enough yet.\n\nThis changed in 2022. During the day, Nate wrote code at NASA, unable to use LLMs due to privacy concerns. But at night, the difference was stark as GitHub Copilot and ChatGPT completely changed how we built side projects.\n\nWe believe that the role of LLMs in software development is only beginning. In order to reach their full potential, developers need to to be able to tinker and unleash their creativity. Every developer must be able to try new things and push what's possible using LLMs without having to ask for permission.\n\n![uploaded image](/media/?type=post&id=73449&key=user_uploads/117092/98c7da9c-a397-4ec1-8727-f1dbc941df77)\n\n", "url": "https://www.ycombinator.com/launches/J6f-continue-the-easiest-way-to-code-with-any-llm", "votes": 44, "created_at": "2023-07-26T16:24:35.590Z" } ] }, { "id": 28958, "name": "Rimward", "slug": "rimward", "former_names": [ "Quack AI", "Sourcepulse" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd215af97ab581709a04ff6284c6091f29c2058e.png", "website": "https://rimward.ai/", "all_locations": "Paris, Île-de-France, France", "long_description": "Rimward helps solar asset managers detect intrusions using the cameras already installed across their sites. It flags camera failures and coverage gaps, and gathers video evidence from multiple cameras to help their team or monitoring provider filter out false alarms and decide when to act.", "one_liner": "Solar farm security software for existing cameras", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1691807496, "tags": [ "Machine Learning", "Computer Vision", "B2B", "Security", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "France", "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/rimward", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/rimward.json", "year_founded": 2023, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/rimward", "x_url": "https://twitter.com/rimward_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/rimward", "github_url": "https://github.com/rimward", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd215af97ab581709a04ff6284c6091f29c2058e.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": 1390247, "full_name": "F-G Fernandez", "title": "Founder", "founder_bio": "Founder and CEO of Rimward. FG co-founded Pyronear, an open-source nonprofit, helping turn a Raspberry Pi, his laptop GPU and entry-level camera into a wildfire detection network across Europe and South America. Running AI locally on affordable hardware, it serves French fire services and detected a wildfire 32 km away.\n\nA computer vision researcher by background, he led research at Mindee (YC W21), published conference papers without a PhD and was formerly a top PyTorch contributor.", "is_active": true, "linkedin_url": "https://linkedin.com/in/frgfm", "x_url": "https://twitter.com/FrG_FM", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eed0d8708a06aa60a305c5d378c1355472e2e065.jpg" } ], "jobs": [ { "id": 92922, "title": "Security / IoT Deployment Engineer", "url": "https://www.ycombinator.com/companies/rimward/jobs/j4L5SKW-security-iot-deployment-engineer", "location": "Paris, IDF, FR / Paris, Île-de-France, FR", "type": "Full-time", "role": "Engineering", "role_type": "Embedded systems", "salary_range": "€50K - €70K EUR", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Linux", "Docker", "Information Security", "Internet of Things (IoT)" ] }, { "id": 92923, "title": "Platform Engineer", "url": "https://www.ycombinator.com/companies/rimward/jobs/Ocflvow-platform-engineer", "location": "Paris, IDF, FR / Paris, Île-de-France, FR", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "€50K - €70K EUR", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Node.js", "TypeScript", "Docker" ] } ], "news": [ { "title": "Here are this year’s top 40 startups at Station F | TechCrunch", "url": "https://techcrunch.com/2023/11/15/here-are-this-years-top-40-startups-at-station-f/", "date": "Nov 15, 2023" } ], "launches": [ { "id": 74260, "title": "🦆 Quack AI - AI companion for developer onboarding", "tagline": "Bridging open-source efficiency to drive enterprise excellence.", "body": "Hello there! I'm FG (short for François-Guillaume 🇫🇷), the founder of [Quack AI](https://www.ycombinator.com/companies/quack-ai).\n\n**tl;dr:** _We help large software companies run like the most efficient open-source projects. In the future, top-tier developers in those organizations will be able to contribute to pivotal projects, regardless of what teams they're from._\n\n### **💬** The Problem\n\nSuccessful OSS projects are well-organized communities where information is shared and valued. Recognizing this gold standard, corporate giants like Microsoft and IBM are shifting towards 'innersource' - a strategy that fosters ownership, augments communication, and bolsters productivity. However, like many cluttered OSS projects, the vast array of solicitations and varying expertise easily gets overwhelming.\n\n### 💻 Our Solution\n\nOur Dual-Fold Approach:\n\n![uploaded image](/media/?type=post&id=74260&key=user_uploads/1390247/195e8fa1-3b7d-4327-9507-c05a168f1531)\n\n* **Clarity for maintainers** (Web interface): we empower maintainers with a framework to streamline contribution processes. Through our intuitive interface, maintainers can design, curate, and sequence the optimal steps for smooth project contributions.\n\n![uploaded image](/media/?type=post&id=74260&key=user_uploads/1390247/94e7fe10-fc64-4df9-893a-8f20fd16e2ea)\n\n* **Guidance for developers** (VSCode extension): with our IDE extension, developers aren't just compliant; they're efficient. It aids in identifying the right issues, ensures alignment with contribution flows, and keeps a pulse on project priorities.\n\nWhile maintaining popular OSS projects and being an active contributor to PyTorch, I’ve often faced the frustration of seeing Pull Requests from newcomers and thinking “If only that person had the reflex to do XYZ.” Those unwritten norms, which often evade CI restrictions, only sink in after repeated code reviews and numerous trials and errors. This uneasy feeling that “it would be so easy if they were to do ABC” highlights the absence of a solid framework for collaborative development.\n\n### 🦆 The Team\n\n![uploaded image](/media/?type=post&id=74260&key=user_uploads/1390247/153b4727-f3fd-4ba1-9020-45fbc7e19d2b)\n\nI tend to describe myself as a _\"Deep learning engineer by day, open source contributor by night 🦇\"_ which is fairly accurate! On top of being among the top contributors of PyTorch, I’ve led the development of the open-source OCR library of devtool company Mindee (YC W21). I experienced first-hand how some open-source communities are structured to achieve high engagement & productivity, which now appeals to software behemoths.\n\n### 🙏 How you can help\n\n* **🤝 Refer**: know someone in a major corporation looming over innersource or part of a substantial OSS project? Please connect us.\n* **⭐ Engage**: star us on [GitHub](https://github.com/quack-ai/companion) & hop into our [Discord](https://discord.gg/E9rY3bVCWd) for the latest updates!\n* **👍👎 Experiment & feedback**: mold your unique coding insights and take our [VSCode extension](https://marketplace.visualstudio.com/items?itemName=quackai.quack-companion) for a whirl.\n* **📣 Share**: share this post with your network, you can find us on [Twitter](https://twitter.com/quack_ai) or [LinkedIn](https://www.linkedin.com/company/quackai)\n\nUp to revolutionize developer collaboration? Let’s get quacking then!", "url": "https://www.ycombinator.com/launches/JJk-quack-ai-ai-companion-for-developer-onboarding", "votes": 157, "created_at": "2023-08-21T14:34:11.158Z" } ] }, { "id": 28959, "name": "sizeless", "slug": "sizeless", "former_names": [ "sizeless GmbH" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90ad40c9214ea17e0132605fba1e092c86e8b9a0.png", "website": "https://www.sizeless.co", "all_locations": "San Francisco, CA, USA", "long_description": "sizeless is the spatial AI to plan, build, and maintain the world's infrastructure by automating the 3D documentation and planning of the world’s underground infrastructure. Construction crews capture a short smartphone video of a construction site and get an automated, millimeter-precise digital twin with automatic part identification. We compress weeks of manual surveying and back-office planning work into hours. Our documentation and planning platform is currently in production: we have signed 7 paid pilots in 3 months with a potential ACV of $1.4M. \r\n\r\nsizeless (https://sizeless.co) spun out of research in robotics and spatial AI: co-founders Cornelius von Einem (PhD, ETH Zürich) and Roger de Belsunce (Physics & AI postdoc at MIT) lead the technology, while Julius Schilling (insurance, Aon) leads the commercial side. sizeless is building the proprietary training-data layer that all construction robots will run on.", "one_liner": "The spatial AI to plan, build and maintain the world's infrastructure", "team_size": 4, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction", "launched_at": 1691128419, "tags": [ "Computer Vision", "Real Estate", "Construction", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Real Estate and Construction" ], "regions": [ "United States of America", "America / Canada", "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/sizeless", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sizeless.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sizeless-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/90ad40c9214ea17e0132605fba1e092c86e8b9a0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1260496, "full_name": "Roger de Belsunce", "title": "Founder", "founder_bio": "PhD in astrophysics from University of Cambridge", "is_active": true, "linkedin_url": "https://linkedin.com/in/rogerdb", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1721d9c98133ce985f909f4100bac939d563d2a2.jpg" }, { "user_id": 1260577, "full_name": "Cornelius von Einem", "title": "Founder", "founder_bio": "Cofounder of sizeless (S23). Previously Researcher @ ETH Zurich working on Computer Vision and Robotics", "is_active": true, "linkedin_url": "https://linkedin.com/in/corneliuseinem", "x_url": "https://twitter.com/cornelius_einem", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fe512b64dfa383e361e6a5217f64635d3c6d193c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 114663, "title": "sizeless - Spatial AI for underground infrastructure 🚧", "tagline": "Turn a 10-minute phone video of an open trench into engineering-grade documentation", "body": "Hey everyone 👋\n\nWe're Julius, Cornelius and Roger — the founders of sizeless.\n\n**TL;DR**\n\nsizeless turns a smartphone video of an open trench into the documentation utilities and contractors are legally required to produce: a 3D model, CAD/BIM plans, and the quantities they bill from. Today that takes months and a surveyor. We do it in hours, from a video the crew films themselves.\n\n![uploaded image](/media/?type=post&id=114663&key=user_uploads/1260577/02c85a25-fa1a-43a2-ad56-6e571b257b37)\n\n### **Problem ❌**\n\nEverything under a street — gas, water, power, heat, fiber — must be documented when it is built or repaired. That documentation is still done by hand: schedule a surveyor, drive out, measure with a tape or a GPS rover, write it on paper, go back to the office and draw it. Then the next contractor does the same thing again, for their own pipe, in the same trench.\n\nOur average customer **waits 6 months** for documentation and spends around **$4M a year per German city** on it.\n\nAnd once the trench is backfilled, nobody can check whether the numbers were right. One person's reading, one moment, unrepeatable. That is why crews keep hitting lines that \"aren't there\".\n\n![uploaded image](/media/?type=post&id=114663&key=user_uploads/1260577/f446f4ae-943d-4c83-ba7e-c48b9220eca7)\n\n### **Solution ✅**\n\nThe crew films the open trench with a phone for about 10 minutes. Then:\n\n**Our SLAM engine** builds a metric 3D model from that video — no surveyor, no scanner, and it works without GPS in basements and house connections\n\n**Our vision engine** recognises the components — pipe types, diameters, fittings, couplings — and attributes them\n\n**Our agent** produces what the customer actually files: CAD/BIM, GIS, quantities, and invoice-ready numbers\n\n![uploaded image](/media/?type=post&id=114663&key=user_uploads/1260577/bbaddb8c-abbf-43ad-8866-025cde7bb93b)\n\nThe crew also talks while filming, and that goes into the record:\n\n> _\"There was a gas pipe crossing, so we had to lay this pipe approximately\\\n> 50 cm below it.\"_\n\nNo point cloud and no plan ever captures the _reason_ for a deviation — and once the trench is closed, it is gone for good. That sentence, anchored to the exact position in 3D, is the part nobody else has.\n\n**Where we are:** seven paid pilots in three months, the first converted to an annual contract, working with utilities and contractors on district heating in Germany.\n\n**Why now:** phones do metric 3D capture, reconstruction got cheap, and vision-language models read attributes rather than just detecting boxes. And the long game: construction robots are coming, and nobody holds the training data for what is underground. That is the layer we are building.\n\n### **Ask 💬**\n\n**Intros to utilities, municipal works, or civil and pipeline contractors** - Europe or the US\n\n**Anyone who has sold into municipalities or utilities:** how did you shorten those cycles?\n\n**Founders in construction tech, geospatial or robotics** — would love to compare notes\n\nIf you know someone running a **family construction business**, that is often our fastest door in\n\nYou can reach us at [julius@sizeless.co](mailto:julius@sizeless.co) (commercial) or [cornelius@sizeless.co](mailto:cornelius@sizeless.co) (technical).\n\n### **Team**\n\n**Julius** (CEO) — ex-Chief of Staff to the CEO at Aon.\n\n**Cornelius** (CTO) — PhD in robotics and computer vision at ETH Zürich's Autonomous Systems Lab. Built perception systems for railways, and a wearable navigation system for blind users.\n\n**Roger** (Science lead) — professor of physics & AI. Spent a decade recovering 3D structure from sparse, noisy measurements; in his case, mapping the universe.\n\n_Fun fact: the hardest part of our capture pipeline is not the maths, it is that trenches are wet, muddy, and full of moving excavators — which breaks every off-the-shelf 3D reconstruction method we tried._", "url": "https://www.ycombinator.com/launches/TpP-sizeless-spatial-ai-for-underground-infrastructure", "votes": 29, "created_at": "2026-09-10T18:00:52.630Z" } ] }, { "id": 28960, "name": "Apoxy", "slug": "apoxy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c770edabb943daa324ca296031ede37583c2cd76.png", "website": "https://apoxy.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Apoxy is the programmable edge platform that simplifies connectivity, security, and custom logic deployment for distributed applications. Our platform combines secure site-to-site networking with a high-performance runtime for custom TypeScript and Go filters, allowing developers to deploy business logic at the edge without complex infrastructure. Whether you need instant HTTP/TCP/UDP connectivity, advanced access controls, or custom data processing, Apoxy meets you where you are - from Kubernetes clusters to simple processes - with powerful observability and sub-second troubleshooting built in.", "one_liner": "Simpler and cheaper multi-cloud and cross-platform deployments.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1690268211, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "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/apoxy", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/apoxy.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/apoxy/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/apoxy-dev", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c770edabb943daa324ca296031ede37583c2cd76.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 954645, "full_name": "Dmitry Ilyevsky", "title": "Founder", "founder_bio": "Technical co-founder of Apoxy - a programmable traffic controller that helps companies build and operate APIs at scale. Before Apoxy spent 15 years in the industry working on compute clusters and networking fabrics at Render, Mux, Cruise, Google, and Motorola.\n\nGeneralist with a focus on networking and systems. Semi-retired alpinist and current ultra long-distance runner.", "is_active": true, "linkedin_url": "https://linkedin.com/in/dilyevsky", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/78445a292aa57a4ed4cf718e2e2cee46702e7c3e.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28966, "name": "Pincites", "slug": "pincites", "former_names": [ "Pincite" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/66314affa2a18460ebaf6082abe1eba1272e5498.png", "website": "https://www.pincites.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Pincites makes contract negotiations faster and more consistent for legal teams. Using LLMs, Pincites takes a first pass at reviewing contracts, helping lawyers focus on riskiest parts of their negotiations.", "one_liner": "Close deals faster with AI for contract negotiation", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1688690921, "tags": [ "B2B", "Legal", "LegalTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Legal" ], "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/pincites", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/pincites.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pincites", "x_url": "https://twitter.com/pincitesai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/pincites", "github_url": "https://github.com/pincites/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/66314affa2a18460ebaf6082abe1eba1272e5498.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/babc88426c04b5cb0d84d39804912b34c477d9d1.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1369076, "full_name": "Sona Sulakian", "title": "Founder", "founder_bio": "Building Pincites (S23) to make contract negotiation faster with AI. Previously a transactional attorney, patent attorney, and a strategic consultant for legal tech.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sonasulakian/", "x_url": "https://twitter.com/sonasulakian", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b87e1a280754f3df8bcad372d0177f5454b5db94.jpg" }, { "user_id": 1382487, "full_name": "Mariam Sulakian", "title": "Founder/CTO", "founder_bio": "Co-founder of Pincites (acq). Previously product at GitHub and eng at Meta.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ms-", "x_url": "https://twitter.com/mariamsulakian", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c502e1726878dbcb73d6cc594864a84b9f25ec5c.jpg" } ], "jobs": [], "news": [ { "title": "Filevine acquires Pincites to bring legal AI directly into Microsoft Word", "url": "https://www.prnewswire.com/news-releases/filevine-announces-lois-for-word-as-it-acquires-pincites-302660674.html", "date": "Jan 14, 2026" }, { "title": "Pincites raises $3m seed round | Pincites Blog", "url": "https://www.pincites.com/blog/pincites-raises-usd-3m-seed", "date": "Sep 07, 2023" } ], "launches": [ { "id": 73190, "title": "📌 Pincites: AI-powered contract negotiation", "tagline": "Close deals faster with AI for contract negotiation", "body": "![uploaded image](/media/?type=post&id=73190&key=user_uploads/1369076/99d0dd8f-5228-4ca6-8942-695b81f0605c)\n\nHello! We’re [**Sona**](https://www.linkedin.com/in/sonasulakian/), [**Mariam**](https://www.linkedin.com/in/ms-/), and [**Grey**](https://www.linkedin.com/in/greysteil/)—a team of attorneys, security experts, and AI specialists. We’re on a mission to speed up contract negotiation.\n\n### **❌** Problem\n\n* **Sales negotiations get bottlenecked on legal review**. Sales teams must pause deals while they wait for legal teams to redline and finalize customer agreements.\n* **Unfriendly terms slip through the cracks**. Legal teams can’t ensure that contracts align with company standards _and_ minimize risk when working under time pressure.\n* **Nonstandard language makes understanding your contracts hard.** Lawyers can phrase the same idea in thousands of different ways. At scale, it's difficult to track contract details and negotiation outcomes.\n\n## 💡 Our solution\n\n* **A Word add-in that ensures guidance is available where and when it's needed.** Using the latest large language models, Pincites allows legal teams to build contract playbooks that any internal team can apply consistently within Microsoft Word using our Word add-in. \n* **An AI-powered onboarding flow that turns existing contracts into playbooks.** Simply upload your template, add guidance, and begin redlining. Unlike previous legal tech, manual tagging or model training is unnecessary because Pincites tags clauses based on their semantic meaning.\n\n## **✨** How we help\n\n* **Amplify your legal team’s impact.** Our AI solution surfaces relevant guidance for all teams to quickly review and negotiate contracts using their companies' approved terms. Non-legal teams can securely process contracts, while freeing up legal teams to focus on more critical matters.\n* **Flags key risks for review.** Pincites highlights deviations from your standard language and missing clauses in your contracts. We compare each clause to your standard language, providing insights on variations and associated risk levels. We offer guidance for each variation, ensuring you can align on the right language and conveniently access relevant guidance as you work.\n* **Standardize contracting language and processes.** Pincites serves as a central place for legal teams to define standard guidance that is then embedded in Microsoft Word for easy access by any internal team.\n\n## 🙏 We’re looking to connect with legal teams! \n\n* Refer us to your in-house attorneys at [founders@pincites.com](mailto:sona@pincites.com)\n* Book a 20 minute demo [here](https://calendly.com/pincites/demo)", "url": "https://www.ycombinator.com/launches/J2U-pincites-ai-powered-contract-negotiation", "votes": 28, "created_at": "2023-07-18T19:24:30.580Z" } ] }, { "id": 28967, "name": "MantleBio", "slug": "mantlebio", "former_names": [ "DryBox Bio" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/15716b62f7c6d475631f039d985c650683ee0837.png", "website": "https://www.mantlebio.com", "all_locations": "", "long_description": "Mantle brings modern data engineering to the lab to help scientists turn insights into world-changing breakthroughs.", "one_liner": "Transform scientific data into discoveries", "team_size": 7, "industry": "B2B", "subindustry": "B2B", "launched_at": 1689053097, "tags": [ "SaaS", "Biotech", "Data Science" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mantlebio", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/mantlebio.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/mantlebio/", "x_url": "https://twitter.com/mantlebio", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/15716b62f7c6d475631f039d985c650683ee0837.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 876391, "full_name": "Emily Damato", "title": "Founder", "founder_bio": "CEO and Co-Founder of MantleBio, modern data engineering for biotech. Previously developed software at GRAIL, Arsenal Bio, and The Broad Institute. MIT Computer Science and Biology. 10+ years at the intersection of computer science and life science.", "is_active": false, "linkedin_url": "https://linkedin.com/in/emily-damato-36932523", "x_url": "https://twitter.com/damato_emily", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/78b9808f1e62aa083dd6d0e1a05e6d7d56f2169d.jpg" }, { "user_id": 1435929, "full_name": "Madeline Schade", "title": "Founder", "founder_bio": "CTO and Co-Founder of MantleBio. Previously worked as a software engineer at Google, Arsenal Bio and GRAIL.", "is_active": false, "linkedin_url": "https://linkedin.com/in/madeline-schade", "x_url": "https://twitter.com/SchadeMadeline", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e8c503fd7daf298aa41440bb472880783bf8898c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 82415, "title": "MantleBio - Helping scientists transform data into discoveries", "tagline": "Modern data engineering, now available free for the scientific community", "body": "TL;DR: [Mantle](https://mantlebio.com/) makes data engineering easy (and sometimes fun) for scientists.\n\n**Today, we are excited to announce the launch of Mantle’s free plan, now available to the scientific community. Get started **[**here**](https://mantlebio.com/get-started/)**!**\n\n# 💻  Why does biology need better data engineering?\n\nBiotech generates very big, very complex data. A single DNA sequencing experiment can create 7 TB of data, and generating high-throughput multi-modal data is becoming the norm. Recent breakthroughs in computer science and ML have incredible potential to accelerate life science research. \n\nElectronic lab notebooks (ELNs), like Benchling, help organize research in the wet lab. However, biotech lacks tools to organize and analyze data from instruments, CROs, and public databases.\n\n**Does this sound familiar?**\n\n* Storing experimental metadata in file paths\n * Writing regex scripts to parse metadata out of those file paths\n * Regex scripts break when the file path format changes\n* Running bioinformatics scripts locally on a laptop\n * Not being able to process data when the computational scientist is on vacation\n * Losing analyses when the computational scientist loses their laptop on vacation\n* Analyzing datasets one by one in a desktop application\n * Not being able to compare data between teams because each person made the graph slightly differently\n * Spending a weekend regenerating all of the graphs consistently, and finding several copy-and-paste errors made on the data that was submitted to the grant application last week\n\nAt Mantle, we think science deserves better.\n\n# 🔬 What can you do with Mantle?\n\n**Instant Insights**\n\nMake decisions quickly and confidently. See everything in one place, in real time.\n\n![uploaded image](/media/?type=post&id=82415&key=user_uploads/876391/0e8966ed-9477-45c2-ba61-408feb3884e8)\n\n**Modern Data Management**\n\nDon’t let unscalable spreadsheets and inflexible databases slow down your research. Scientific research requires rapid iteration and experimentation, and Mantle’s data lake can keep up.\n\n![uploaded image](/media/?type=post&id=82415&key=user_uploads/876391/7aeaa967-f989-4112-9a74-e6b343c4f57a)\n\n**Bring Your Code**\n\nEffectively leveraging computation, data science, and ML separates the next generation of biotech companies from the last. Mantle hosts the infrastructure to help connect no-code users and great-code writers.\n\n![uploaded image](/media/?type=post&id=82415&key=user_uploads/876391/6f1860f2-4570-4fa1-8a14-b4fea6961f0c)\n\n# 🌎 How does it work?\n\nMantle is a data infrastructure layer (the “mantle” 🙂 🌎) for biological data analysis.\n\n![uploaded image](/media/?type=post&id=82415&key=user_uploads/876391/45cbb641-63e7-4475-8f46-35af154abca9)\n\n* **Import** data from ELNs (e.g. Benchling), instruments (e.g. Illumina), CROs, and more\n* **Process** data reproducibly with bioinformatics pipelines and Jupyter Notebooks\n* In a private **data lake**, find, organize, and analyze data of any type and scale\n* **Insights** are accessible to no-code users through real-time visualizations\n* **Data Science & ML** results can be easily shared and traced back to raw data\n\n**Why doesn’t biology use “normal” data engineering tools?**\n\n* **The data is different.** General-purpose tools are designed for consistently structured tabular data. Biology generates data with frequently changing metadata in biology-specific formats. _Mantle’s data lake stores data of any scale, format, or type in a single place._\n* **The ecosystem is different.** Tools that are not designed for biology don’t prioritize integrations with other tools in the science ecosystem. _Mantle has off-the-shelf integrations with standard life science tools._\n* **The processing is different.** Tabular data can typically be processed with simple transformations. Preprocessing genomics data can take dozens of hours and careful parameter tuning. _Custom and off-the-shelf bioinformatics pipelines can be run reproducibly through Mantle, with or without code._\n\n# 👋 Help us close the gap between data and discovery\n\n![uploaded image](/media/?type=post&id=82415&key=user_uploads/876391/e731a73f-ecf6-4bc2-b601-ed42ee8fb6a9)\n\nWe love data engineering, and we love helping scientists. If you’d like to, here are some ways you can help us:\n\n* **Give Mantle a try!**\n * Get started [here](https://mantlebio.com/get-started/) for free.\n* **Let us know what you think!**\n * If you want to chat or see a demo, please reach out to me here: [emily@mantlebio.com](mailto:emily@mantlebio.com)\n * If you would like help debugging a weird AWS error, please reach out to my co-founder here: [madeline@mantlebio.com](mailto:madeline@mantlebio.com) \n * We are celebrating this launch with a Computation & Biology happy hour at our SF office on August 13. Space is limited; please RSVP [here](https://lu.ma/jraavbdm).\n* **Learn with us!**\n * Check out our blogs on [bioinformatics engineering](https://blog.mantlebio.com/p/intro-to-bioinformatics-engineering), [ELNs](https://blog.mantlebio.com/p/eln-breakdown-scale-scope-and-science), and [more](https://blog.mantlebio.com/).\n * Check out our upcoming [workshops and events](https://lu.ma/mantlebio).\n* **Share this post!**\n * If you enjoyed reading this, your friends might too 😀\n\nThank you!", "url": "https://www.ycombinator.com/launches/LRH-mantlebio-helping-scientists-transform-data-into-discoveries", "votes": 13, "created_at": "2024-07-25T14:07:49.934Z" }, { "id": 72941, "title": "🔬 MantleBio: Scaling data driven discovery for biotech", "tagline": "Our data platform helps scientists and computational biologists manage and analyze high-throughput experiments", "body": "Hi everyone, we’re [Emily](https://www.linkedin.com/in/emily-damato-36932523/) and [Madeline](https://www.linkedin.com/in/madeline-schade/) from [MantleBio](http://mantlebio.com)!\n\nMantleBio is a modern data engineering platform for life science research and computational biology. While software like Benchling helps organize research in the wet lab, MantleBio powers research in the dry lab. Our platform helps biotech companies leverage advances in computational science and machine learning with tools built for biotech.\n\nIf you’re a computational biologist or work with biological data we would love to chat. Contact us at [mantlebio.com](http://mantlebio.com) or [info@mantlebio.com](mailto:info@mantlebio.com).\n\n### The Problem\n\nBiotech generates a tremendous amount of data. High-throughput sequencing and screening have become the norm, R&D groups can generate terabytes of data per day, and biotech is estimated to have the largest volume of data of any industry by [2025](https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1002195).\n\nRecent breakthroughs in computer science and machine learning have the opportunity to profoundly impact scientific research. However, the majority of biotech companies lack the tools or software team necessary to fully utilize these advances and the data they have.\n\nWithout implementing the best data practices, biotech companies are often unable to find past results, reproduce analyses, or integrate multiomic datasets. This can be a bottleneck for future experiments and jeopardize regulatory filings. Meanwhile, generic data management software fails to address the complexities specific to life science. MantleBio bridges this gap, accelerating data driven discovery with tools built for biotech.\n\n![uploaded image](/media/?type=post&id=72941&key=user_uploads/1435929/28c97902-c13b-461a-917e-17858a41d971)\n\n### Our Solution\n\n* Simplify multiomics with centralized data management.\n * Other systems require scientists to design their own schemas. We collaborate with experts to create domain-aware data models available off the shelf.\n * Our API, CLI, and UI make datasets easily accessible to no-code users and computational scientists.\n* Automate the analysis of routine workflows. Start a DNA sequencing run, grab coffee, and receive the results in your inbox.\n * We connect to Benchling, Notion, BaseSpace and other systems to read experimental data from the source. Our API and data transformation pipelines allow custom integrations with even the most difficult laboratory instruments.\n* Create bioinformatics pipelines in minutes, not days.\n * Computational biologists can create production pipelines directly in MantleBio without managing cloud infrastructure or writing Docker files.\n* Prepare for the next IND filing or FDA audit with reproducible datasets and analyses.\n * MantleBio automatically records a version history for all datasets. The platform captures inputs, processing, and outputs of all analyses, creating a connected and auditable graph of everything in the computational lab.\n\n![uploaded image](/media/?type=post&id=72941&key=user_uploads/1435929/c5949154-a9ed-49a9-9fa5-37c572dc06ad)\n\n## About Us\n\nMadeline is a software engineer with experience as a full-stack engineer at multiple biotech companies and at Google working on large data pipelines. At GRAIL she developed an EDC that supported one of the largest clinical trials ever performed (over 200k patients), and at Google worked on a system supporting 10 billion queries per day. She studied computer science and computer engineering at UC Santa Cruz, where she did research in large distributed systems.\n\nEmily is a “full-stack computational biologist”. Her software experience includes back-end, full-stack, and machine learning. She has done biology research at MIT in both the wet lab and dry lab, and in industry has worked in drug discovery, cell therapy, diagnostics, molecular dynamics simulations, and patient health records.\n\nEmily and Madeline met while working as software engineers at GRAIL, a cancer diagnostic company. From there they both went to Arsenal Bio, a cell therapy company. They realized these biotech companies had common data management needs, but there was no common tool available. They started MantleBio to make the best data engineering practices accessible to all life science research.\n\n### Want to learn more?\n\nContact us at [mantlebio.com](http://mantlebio.com) or [info@mantlebio.com](mailto:info@mantlebio.com).\n\nWe love helping scientists. If you have questions about your current data practices (e.g.“will this scale?”) we also do free data infrastructure reviews.", "url": "https://www.ycombinator.com/launches/IyT-mantlebio-scaling-data-driven-discovery-for-biotech", "votes": 45, "created_at": "2023-07-11T17:43:56.253Z" } ] }, { "id": 28968, "name": "Trainy", "slug": "trainy", "former_names": [ "AB Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/78fb6a9f034f5447cc3472b66f6c660fdf0cfa60.png", "website": "https://trainy.ai/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Goodbye Slurm, Hello Konduktor.\r\n\r\nTrainy Konduktor is a software platform for AI teams to schedule workloads with priority, control resource allocation, and improve GPU reliability. With Konduktor, teams submit jobs to a healthy pool of GPUs, assign job priority with a simple user interface, and never worry about hardware faults again.", "one_liner": "Infrastructure for managing GPU clusters for training/serving.", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1687891811, "tags": [ "Developer Tools", "Machine Learning", "SaaS", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/trainy", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/trainy.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trainy-ai/about/", "x_url": "https://twitter.com/TrainyAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Trainy-ai/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/78fb6a9f034f5447cc3472b66f6c660fdf0cfa60.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": 509361, "full_name": "Roanak Baviskar", "title": "Founder", "founder_bio": "Studied CS & Mathematics at UC Santa Cruz. Led Audio team at Hive AI, where we trained and deployed 500M parameter-scale models to production.", "is_active": true, "linkedin_url": "https://linkedin.com/in/roanakb", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b4b5bdb3a6c92540c471e0ac581790dcb5bba8a.jpg" }, { "user_id": 1404133, "full_name": "Andrew Aikawa", "title": "Founder", "founder_bio": "Co-founder and CTO at Trainy building a training platform to make deep learning go faster. Previously a lead Machine Learning Engineer for Hive AI's object detection products. I completed my Physics Ph.D. UC Berkeley '22 where my thesis focused on applying computer vision and deep learning on nanoscience. Physics & Computer Science B.A. UC Berkeley '17.", "is_active": true, "linkedin_url": "https://linkedin.com/in/asai", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/870dd300be109c4ae6d065c20bc6114a5a646b21.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97424, "title": "🪐 Pluto – OSS experiment tracker for Neptune users", "tagline": "Neptune-compatible experiment tracking, built for teams running AI workloads", "body": "[**→ Try the live playground**](https://demo.pluto.trainy.ai/o/dev-org/projects/my-ml-project) – explore Pluto with real sample experiments, no signup required.\n\nNeptuneAI is shutting down on March 5th after being acquired by OpenAI. We built Pluto so you can migrate safely without rushing.\n\n---\n\n### **👋 Who we are**\n\nHey YC, we're Roanak and Andrew! We founded Trainy to help AI teams efficiently manage and utilize GPU infrastructure. When we heard Neptune was shutting down, our customers started panicking about losing years of experiment history and having to rewrite their logging code on a tight deadline.\n\nSo we built Pluto.\n\n![uploaded image](/media/?type=post&id=97424&key=user_uploads/509361/6cbcdb3e-6f5f-4f7f-8855-58001d921c66)\n\n### **🔥 The problem**\n\nNeptune's March 5th shutdown is forcing research teams into one of the worst kinds of migrations: rushed, high-stakes, and hard to verify.\n\nMost alternatives require you to:\n\n* Rewrite your logging code\n* Lose your historical runs (or spend days exporting and reformatting)\n* Hope the new tool handles your multi-GPU workloads the same way\n\nAnd you have to do all of this before March 5th or your data gets deleted.\n\n### **🛠 How Pluto solves it**\n\n**1. Dual-log to both platforms simultaneously**\n\n[Add one import](https://docs.trainy.ai/pluto/neptune-migration), keep your existing Neptune code running, and Pluto logs side-by-side. Validate that everything matches on your real training workloads before you cut over.\n\n**2. Export your Neptune history**\n\nPluto includes [a Neptune exporter](https://docs.neptune.ai/transition_hub/migration/to_pluto) that brings your old runs into Pluto. Years of experiment data, preserved.\n\n**3. Built for the workloads Neptune users actually run**\n\nWe're optimizing for what Neptune users loved: UI responsiveness at scale, reliable logging throughput under multi-node/multi-GPU workloads, and the ability to track thousands of per-layer metrics without lag.\n\n**Deployment options:**\n\n* **Self-hosted** – for sensitive data or air-gapped environments, instructions in [server readme](https://github.com/Trainy-ai/pluto-server)\n* **Hosted** – $250/seat/month (free for existing Trainy customers)\n\n---\n\n### **🙏 Our ask**\n\n**If you're a Neptune user, please try Pluto with dual-logging before the March shutdown.**\n\nWe're specifically looking for feedback on:\n\n* Anything that would block your cutover\n* Features you rely on that we're missing\n* UI/performance differences at scale\n\n**Early Bird offer:** Start dual-logging in the next 2 weeks → **3 months hosted free**.\n\n👉 Once you’ve made an account on [pluto.trainy.ai](http://pluto.trainy.ai), email [roanak@trainy.ai](mailto:roanak@trainy.ai) or [grab a time to chat](https://calendly.com/roanak/trainy-demo) and we’ll add seats/storage.\n\n---\n\n### **🔗 Links**\n\n* [**Playground**](https://demo.pluto.trainy.ai/o/dev-org/projects/my-ml-project) – try it now\n* [**Quickstart**](https://docs.trainy.ai/pluto/quickstart) – get running in 5 minutes\n* [**GitHub**](https://github.com/Trainy-ai/pluto) – Apache-2.0 (client), AGPL-3.0 ([server](https://github.com/Trainy-ai/pluto-server)) ⭐\n\nWe're listed on[ **Neptune's official transition hub**](https://docs.neptune.ai/transition_hub/migration/to_pluto).\n\nThank you!", "url": "https://www.ycombinator.com/launches/PLM-pluto-oss-experiment-tracker-for-neptune-users", "votes": 10, "created_at": "2026-02-04T22:26:06.748Z" }, { "id": 72587, "title": "🚅 Trainy - Identify bottlenecks, boost training", "tagline": "Dashboards to help ML engineers training large models isolate performance bottlenecks and boost training speed.", "body": "**tl;dr** We help ML engineers training large models isolate performance bottlenecks during training. Trainy summarizes profiling information during large distributed training so that you know exactly what is limiting the speed of your model training.\n\nHello everyone, we are Andrew and Roanak, ML engineers from the bay. We’ve experienced firsthand the challenges of distributed training and getting the most out of your compute resources. That’s why we are building tools to help ML engineers training large models optimize training speed and take the guesswork out of estimating the time and cost of training.\n\n![uploaded image](/media/?type=post&id=72587&key=user_uploads/1404133/cde44cc9-7436-422f-b0fd-c7c3f2a94ff2)\n\n# **The Problem**\n\nDistributed training has enabled the training of ever-growing generative AI models. However, gains in speed are not simply proportional to the number of GPUs recruited and can quickly have diminishing returns depending on infrastructure and the model being trained. Tools now mainly focus on profiling a few GPUs, but become unwieldy the moment you scale beyond the 10 GPU mark.\n\n# **Our Solution**\n\nWe created a dashboard to display timing information across many GPUs. It’s a graph interface built on top of Tensorboard and PyTorch Profiler, existing tools familiar to ML engineers.\n\n![uploaded image](/media/?type=post&id=72587&key=user_uploads/1404133/729377af-3ca9-499b-acf7-1e2f1f569940)\n\n# **How it works**\n\nWe summarize profiling information over many GPUs in a few key views that help ML developers identify where in the ensemble of GPUs there are inefficiencies. Statistics about computation, communication, and memory operations across many GPUs isolate straggling GPUs. Distributed training can only proceed as fast as the slowest GPU participating. By isolating slow outliers, an ML developer can zoom in on the operations running on the straggling GPU and make optimizations to their code to balance timings across GPUs and lower resource idling.\n\n# **The Ask**\n\nWe’d love for you to try out our profiler if you are training your own models. \n\nAlso join our community if you want to stay up to date with the development of our tools. ", "url": "https://www.ycombinator.com/launches/Isl-trainy-identify-bottlenecks-boost-training", "votes": 21, "created_at": "2023-06-27T19:06:48.265Z" } ] }, { "id": 28969, "name": "Studdy", "slug": "studdy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c0821a1683c61a3940f8574e68efe0f27f930177.png", "website": "https://www.studdyai.com", "all_locations": "San Francisco, CA, USA", "long_description": "At Studdy, our mission is to unlock the full potential of the next generation by providing a personalized AI tutor for every student.\r\n\r\nStuddy is a multilingual tutor that uses AI, as well as advanced speech, text, and image recognition technology to supercharge students' ability to learn new subjects.\r\n\r\nWe believe that making self-learning as easy as possible for as many students as possible (no matter their cultural, social, or educational background) is the key to unlocking the full potential of students around the world.\r\n\r\nWe're a passionate team of AI experts, educators, and builders - if you also have a passion for transforming education we'd love to hear from you.\r\n\r\nShoot us a message at team@studdy.ai!", "one_liner": "An AI tutor that helps you study", "team_size": 4, "industry": "Education", "subindustry": "Education", "launched_at": 1688327880, "tags": [ "AI-Enhanced Learning", "Education", "Consumer", "Edtech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Education" ], "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/studdy", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/studdy.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/studdyai", "x_url": "https://twitter.com/studdyai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c0821a1683c61a3940f8574e68efe0f27f930177.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1332645, "full_name": "Michael Lam", "title": "Founder", "founder_bio": "Co-founder & CEO at Studdy", "is_active": true, "linkedin_url": "https://linkedin.com/in/mikelam231", "x_url": "https://twitter.com/mike_lamma", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/61cd72de6866d065e238857e95103448fbf7eb21.jpg" }, { "user_id": 1383463, "full_name": "Alex Lanzoni", "title": "Founder", "founder_bio": "Self-taught software engineer w/ 13 YoE\nLike building and video games", "is_active": false, "linkedin_url": "https://linkedin.com/in/alex-lanzoni", "x_url": "https://twitter.com/chad_syntax", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/096acf61a418174fbb54f420fe89ab79e44ad845.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73856, "title": "Studdy: an AI tutor for every student", "tagline": "Snap, ask, and learn anything with Studdy Buddy", "body": "### TL;DR\n\nHave you ever been studying something and **wished you could instantly ask a question** about it to an expert? Now you can, with Studdy.\n\n[Studdy](https://studdy.ai/) is an AI tutor for students. Anytime you need help with schoolwork (or any material you’re reading), **just snap a picture to get instant help from Studdy Buddy**.\n\n![uploaded image](/media/?type=post&id=73856&key=user_uploads/1332645/ee2a0350-1b1c-4d20-aa05-b79c3254dfb0)\n\n### The problem\n\nStudents are not getting the help they need to succeed in school. Every year, [**65%+ of all U.S. eighth graders**](https://www.nytimes.com/2022/10/24/us/math-reading-scores-pandemic.html) score **“below proficient,” in reading comprehension and math.**\n\nThe problem is that **class sizes are too large** for teachers to provide enough 1:1 help to every kid. Districts can’t afford to hire more teachers, and parents are unable to help their kids at home because they don’t know the material either.\n\nWhen a student falls behind for just a couple of weeks, it can lead to a spiral of underachievement that ultimately leads to many kids giving up. Studdy is here to stop the spiral.\n\n### How Studdy Helps\n\nWhen students need extra help understanding material from class, **Studdy is available 24/7 to answer any questions and patiently explain any concepts**. Studdy never gets angry, impatient, or tired - and it loves answering follow up questions.\n\n![uploaded image](/media/?type=post&id=73856&key=user_uploads/1332645/bcb4d350-5c3e-474d-8a0e-ef6cf0ab1489)\n\nThings Studdy can do:\n\n* **Break problems down** into simple steps\n* Answer **unlimited follow up questions**\n* **Summarize** pages for you\n* **Test** your reading comprehension\n* Quiz you to make sure you **understand the “why”** of what you’re doing and aren’t just regurgitating homework steps\n* Frame problems and **draw relationships** for you\n* Speak to you at your grade level, **in your own language**\n* Plus more!\n\n ![uploaded image](/media/?type=post&id=73856&key=user_uploads/1332645/bbb5e47e-6f23-4512-8723-d0fedc547559)\n\n\n### Studdy vs ChatGPT\n\nStuddy is purpose built for students:\n\n![uploaded image](/media/?type=post&id=73856&key=user_uploads/1332645/ef16271e-a1eb-4ed5-9b53-49a9c4756cca)\n\n### Our Story\n\nAlex and I built Studdy for our former selves (we were not good students back in the day). Too much lecturing would put us to sleep, and that caused issues when it came time to do homework.\n\nWe wished we had a tutor available 24/7 who could answer all of our questions at home - when we would try to catch up on the material we’d missed during class.\n\nAlex dropped out of college at 19 and he’s been plotting how to reform education ever since. I spent the last four years working in ed-tech and AI at Photomath, and then [@Speak](https://bookface.ycombinator.com/company/1443) (W17), where I helped build an AI language tutor on GPT3 & 4. Alex and I previously worked together [@Starcity](https://bookface.ycombinator.com/company/1431) (S16) before creating Studdy.\n\n![uploaded image](/media/?type=post&id=73856&key=user_uploads/1332645/c0dabeee-b4bf-4ddd-86c1-09d47515fe9b)\n\n### Our Ask\n\n* **Try** **our** [iOS App](https://apps.apple.com/us/app/studdy-ai-pocket-tutor/id6450114499)!\n* **Share this post!** Send it to students, parents, teachers, friends.\n* If you know **any professors** who might want to **partner up on** **AI-Education Research**, we’d love to chat.\n* Shoot us a note at [**team@studdy.ai**](mailto:team@studdy.ai) if you’d like to help us\n* Leave us a kind review on the app store : )", "url": "https://www.ycombinator.com/launches/JDE-studdy-an-ai-tutor-for-every-student", "votes": 61, "created_at": "2023-08-07T14:12:11.395Z" } ] }, { "id": 28971, "name": "Kobalt Labs", "slug": "kobalt-labs", "former_names": [ "Suspense" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c0b0e768a324b2566a3f866bf380445d3ae2fb8.png", "website": "https://www.kobaltlabs.com/", "all_locations": "New York City, NY, USA", "long_description": "Automate and strengthen manual risk and compliance operations for fintechs and banks. Given a third party contracts and documentation, Kobalt’s reasoning engine ingests internal policies and procedures, legal commitments, past privacy and compliance assessments, and syncs with external legislation to instantly auto-surface and track risks.\r\n\r\nWe're helping community/regional/sponsor banks increase revenue and scale their partnership and vendor volume, and we're helping fintechs conduct their partner diligence in 1/10 the time, all without needing to increase headcount.\r\n", "one_liner": "AI-powered risk and compliance for financial institutions", "team_size": 13, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1688528207, "tags": [ "Banking as a Service", "Fintech" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kobalt-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/kobalt-labs.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kobalt-labs/", "x_url": "https://twitter.com/KobaltLabs", "fb_url": null, "cb_url": null, "github_url": "https://github.com/kobalt-labs/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c0b0e768a324b2566a3f866bf380445d3ae2fb8.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": 243286, "full_name": "Kalyani Ramadurgam", "title": "Founder", "founder_bio": "CEO of Kobalt Labs, previously AI research at Stanford, built financial security products at Apple, and built health data analysis tools used by governments of 13 countries at Zenysis.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kalyani-ramadurgam-4a76331b5", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f92f957466e7de44ac9ee2ca2b58bcb4f8e0171.jpg" }, { "user_id": 1350031, "full_name": "Ashi Agrawal", "title": "Founder", "founder_bio": "CTO of Kobalt Labs. Ex-Affirm, Nuna, Meta. Stanford BS in Computer Science.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ashi-agrawal", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b3d821257887fb3ff04cd195327121e5a5a99e42.jpg" } ], "jobs": [ { "id": 110254, "title": "Customer Success", "url": "https://www.ycombinator.com/companies/kobalt-labs/jobs/ZqSvrhd-customer-success", "location": "New York City", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 110255, "title": "Software Engineer (Full Stack)", "url": "https://www.ycombinator.com/companies/kobalt-labs/jobs/NpKtQhi-software-engineer-full-stack", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 110256, "title": "Software Engineer (Backend)", "url": "https://www.ycombinator.com/companies/kobalt-labs/jobs/16KxnbV-software-engineer-backend", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 110257, "title": "Software Engineer (Tech Lead)", "url": "https://www.ycombinator.com/companies/kobalt-labs/jobs/JUfGs6N-software-engineer-tech-lead", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 110830, "title": "Marketing", "url": "https://www.ycombinator.com/companies/kobalt-labs/jobs/Dg9bPNN-marketing", "location": "New York City", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 110832, "title": "Product Designer", "url": "https://www.ycombinator.com/companies/kobalt-labs/jobs/KOQIZvJ-product-designer", "location": "New York City", "type": "Full-time", "role": "Design", "role_type": "Web design", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 110993, "title": "Financial Institution Partnerships", "url": "https://www.ycombinator.com/companies/kobalt-labs/jobs/Auqyum2-financial-institution-partnerships", "location": "Remote / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Kobalt Labs Joins the NayaOne Tech Marketplace", "url": "https://nayaone.com/kobalt-labs-joins-the-nayaone-tech-marketplace", "date": "Aug 12, 2024" } ], "launches": [] }, { "id": 28974, "name": "Gleam", "slug": "gleam", "former_names": [ "gleam" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd818311eead953bafedec5b0c136092492541ea.png", "website": "https://joingleam.com", "all_locations": "San Francisco, CA, USA", "long_description": "Gleam automates data entry for clinical research sites.", "one_liner": "Automating Data Entry for Clinical Trials", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1690443767, "tags": [ "Biotech", "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/gleam", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/gleam.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/gleam-os", "x_url": "https://twitter.com/gleam_benefits", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd818311eead953bafedec5b0c136092492541ea.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": 1030778, "full_name": "Oliver Keh", "title": "Founder", "founder_bio": "Founder + CEO @ Gleam.", "is_active": true, "linkedin_url": "https://linkedin.com/in/oliver-keh", "x_url": "https://twitter.com/oli_keh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5d15f676ecb8f39862177374bb5f973593f468c6.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28976, "name": "Bolto", "slug": "bolto", "former_names": [ "Social Inc.", "Pampas Inc.", "Pampas", "Onnix", "Crew", "Crew AI", "Crew" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd164a122dacc9defa9cfe1e3478f126b401b963.png", "website": "https://www.bolto.com", "all_locations": "San Francisco, CA, USA", "long_description": "AI-powered payroll, hr, and recruiting platform. Hire and scale teams easily in the US and globally.", "one_liner": "AI Powered All-In-One Payroll, HR + Recruiting ", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Human Resources", "launched_at": 1691417670, "tags": [ "Recruiting", "HR Tech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Human Resources" ], "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/bolto", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/bolto.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/boltohq/", "x_url": "https://twitter.com/boltohq", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/onnix-d36a", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd164a122dacc9defa9cfe1e3478f126b401b963.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1123110, "full_name": "Mrinal Singh", "title": "Founder", "founder_bio": "Co-Founder, CEO @ Bolto", "is_active": true, "linkedin_url": "https://linkedin.com/in/mrinalsingh2", "x_url": "https://twitter.com/mrinalsingh02?lang=en", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c472b8da26348dd8e9d8b5f93a7e4eaab551413c.jpg" }, { "user_id": 1079248, "full_name": "Jake Johnson", "title": "Founder", "founder_bio": "Former Microsoft PM | Dartmouth Engineering '21 | Seattleite", "is_active": true, "linkedin_url": "https://linkedin.com/in/jake-johnson-529b57139", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bb5e67c06c542093e72b1d915905f703662773bc.jpg" } ], "jobs": [ { "id": 116075, "title": "Design Engineer", "url": "https://www.ycombinator.com/companies/bolto/jobs/EqbaElZ-design-engineer", "location": "Seattle, WA, US / San Francisco, CA, US / Chicago, IL, US", "type": "Full-time", "role": "Design", "role_type": "UI / UX", "salary_range": "$125K - $175K", "equity_range": "0.10% - 0.15%", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "CSS", "HTML", "React", "Figma" ] }, { "id": 117527, "title": "Senior AE -> Sales Lead & Future Head of Sales", "url": "https://www.ycombinator.com/companies/bolto/jobs/vqxEQj4-senior-ae-sales-lead-future-head-of-sales", "location": "San Francisco, CA, US / Seattle, WA, US / Chicago, IL, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$125K - $200K", "equity_range": "0.15% - 0.25%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] } ], "news": [ { "title": "Bolto raises $12M to build the first AI-native, all-in-one Recruiting, Payroll, and HR system", "url": "https://www.bolto.com/blog/series-a", "date": "Apr 21, 2026" }, { "title": "Bolto Raises $5.1M to Enable You to Build and Manage Your Team in One Place", "url": "https://www.bolto.com/blog/seed-announcement", "date": "Mar 05, 2025" } ], "launches": [ { "id": 82005, "title": "Crew AI - AI hiring & HR platform", "tagline": "Hire, pay and manage top pre-vetted software talent globally.", "body": "**TL;DR**\n\n**🔎 We Find Top 1% Global Software Talent:**\n\n![uploaded image](/media/?type=post&id=82005&key=user_uploads/1123110/ae012944-319c-4b87-9080-7979a76c72a2)\n\nWe source the best remote tech talent from big tech and top start-ups. The process is highly rigorous— AI is used to vet candidates technically and create a holistic picture by assessing their public profiles, past projects, and performance on technical assessments. \n\nOur average candidate is an IIT (or global equivalent) grad who has worked at reputable companies and has a history of shipping good code.\n\n**💼 Global HR:**\n\nWe also service the full HR stack - so you can hire candidates as contractors or full-time employees using Crew instantly. Our legal, payroll, and HR teams keep you protected and globally compliant. \n\n![](https://cdn.prod.website-files.com/665dcda85f9f2d88cd288899/665ecd5ca9750c3e0fb87e90_GP-Hero-Image.webp)\n\n**🚀 The Founders:**\n\n[Milan - Ex-Palantir AI/ML, Harvard](https://www.linkedin.com/in/milan-bhandari-623979163/)\n\n[Jake - Ex-Microsoft PM, Dartmouth](https://www.linkedin.com/in/jake-johnson-529b57139/)\n\n[Mrinal - Ex-Lazard IB, Dartmouth](https://www.linkedin.com/in/mrinalsingh2/)\n\nAt our last start-up, we realized how difficult it was to find high-quality developers, pay them effortlessly, and manage global compliance. Crew AI is the platform and service we wish we had while building!\n\n**🤝 Quality Matters in Hiring!**\n\nWe know from experience that top hires can supercharge your company and propel it further. We’re hyper-focused on getting you the best bang for your buck. Our vetting process is:\n\n1. Rigorous resume and background screen for key success indicators\n2. Extended technical interviews and case studies\n3. AI behavioral interview and English fluency checks\n4. Professionalism training\n5. Final human-led vetting\n\n![](https://cdn.prod.website-files.com/665dcda85f9f2d88cd288899/665f43639b41ab6cf17052a2_HIW%20Item%204%20-%20Image.webp)\n\n**Our Ask!**\n\nBuild your Crew! If you or anyone you know is hiring developers - please send them our way! Our website is [www.trycrew.ai,](http://www.trycrew.ai) and we can be reached at [info@trycrew.ai](mailto:info@trycrew.ai)", "url": "https://www.ycombinator.com/launches/LKf-crew-ai-ai-hiring-hr-platform", "votes": 25, "created_at": "2024-07-09T16:45:42.297Z" } ] }, { "id": 28977, "name": "VaultPay", "slug": "vaultpay", "former_names": [ "Vault Pay" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/30aabf918a32adb38f993512aceacaf1deb4d77c.png", "website": "https://vaultpay.io", "all_locations": "Kinshasa, Kinshasa, Democratic Republic of the Congo", "long_description": "Vaultpay is building a digital banking platform for 30 million smartphone users in DRC and the country's largest agent network. For example, a young Congolese entrepreneur who just won a subcontract with a major mining company can now easily open a personal and business account, receive payments, all from their smartphone, instead of spending hours at bank branches.", "one_liner": "Digital banking platform for the 30 million smartphone users in DRC.", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1689166687, "tags": [ "Fintech", "Payments", "B2B", "Neobank" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Fintech" ], "regions": [ "Democratic Republic of the Congo", "Africa", "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/vaultpay", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/vaultpay.json", "year_founded": 2023, "city": "Kinshasa", "country": "CD", "linkedin_url": "https://www.linkedin.com/company/getvaultpay", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/30aabf918a32adb38f993512aceacaf1deb4d77c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ff56154d9ec5fe26ad394687c5f9225120238bc7.png" ], "primary_partner": null, "founders": [ { "user_id": 350695, "full_name": "Ntambwa Basambombo", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://linkedin.com/in/ntambwa-basambombo-1371b952", "x_url": "https://twitter.com/ntambwabasa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d4cb96d76aa917ffe46b5ae238df19a6180e9b53.jpg" }, { "user_id": 1259800, "full_name": "Christel Ilaka", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://linkedin.com/in/christelilaka", "x_url": "https://twitter.com/chrisilaka", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/48e938228319f323588de4f538fa61437dbda479.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97421, "title": "VaultPay: Digital banking for Central Africa", "tagline": "We’re building Square for Central Africa", "body": "VaultPay is a digital banking platform bringing Visa cards and modern financial services to the Democratic Republic of Congo, a country of 120 million people where 85% remain unbanked, and 90% of transactions happen in US dollars.\n\n**The Problem**\n\nThe DRC has been overlooked by the fintech industry. While mobile money dominates most of Africa with razor-thin margins, the DRC's dollarized economy means our users transact at an average of $40/month, nearly 3x Nigeria's $15 average. Higher transaction values mean healthy unit economics from day one.\n\n**What We Built**\n\nThink Apple Wallet meets CashApp. We offer virtual and physical Visa cards, USD and CDF accounts, and we're rolling out an agency banking network that transforms local businesses into cash-in/cash-out points, following the Square model for Africa.\n\n![uploaded image](/media/?type=post&id=97421&key=user_uploads/350695/198f0423-193f-4546-8c38-c6c46dc243bc)\n\n**Traction**\n\nWe launched in Q4 2025. In four months, with zero marketing spend:\n\n* 17,000+ users signed up\n* $20K MRR\n* 80% are accessing formal financial services for the first time\n\n**Why Now**\n\nWe're the first startup to secure a full payment license from the Central Bank of Congo, rather than operating under another bank's license, as most African fintechs do. This opened doors: Visa invested in our launch and is finalizing a deal recognizing us as their distribution partner for DRC expansion. Ecobank, one of Africa's largest banks, chose us to power its card experience, integrating its CashXpress program ($15M in monthly cash-in volume) into our platform.\n\n**Team**\n\nWe left Airbnb and Google in Silicon Valley to build this. Backed by YCombinator, Tekedia Capital, Michael Seibel, executives from SoFi, Airbnb, and CashApp, and engineers from Google DeepMind, Meta, and Uber.\n\n![uploaded image](/media/?type=post&id=97421&key=user_uploads/350695/9bb15e33-5144-43ed-b8f1-c75f8fd8f2ba)\n\nAI collapsed what should have taken years into months. We own our entire stack, including product, KYC, analytics, customer service, and data science, all with a very small team.\n\n**The Opportunity**\n\nEveryone chases the same markets in Africa. Meanwhile, we're building the financial rails for an entire nation before others catch on. That is our moat. DRC is currently undergoing a massive nationwide digital transformation and is one of the continent's largest consumer markets.\\\n\\\n**Our Ask**\n\nWe're raising our seed round to accelerate distribution across the DRC and Central Africa. If you're an investor excited about the largest untapped fintech market on the continent, we'd love to talk.\n\nIf you want to join a fast-growing startup building the financial foundations of an entire region, we're hiring.\n\nEmail: [ntambwa@vaultpay.io](mailto:ntambwa@vaultpay.io) / [cilaka@vaultpay.io](mailto:cilaka@vaultpay.io) / [founders@vaultpay.io](mailto:founders@vaultpay.io)", "url": "https://www.ycombinator.com/launches/PLJ-vaultpay-digital-banking-for-central-africa", "votes": 33, "created_at": "2026-02-03T03:34:29.381Z" } ] }, { "id": 28978, "name": "Khoj", "slug": "khoj", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/34c0b5b2907cbf1aeb1fbc4283f0011a8b58c86b.png", "website": "https://khoj.dev/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Khoj is an applied artificial intelligence company. We're a tiny team of hackers doing applied research and building safe, useful ai software for humans.", "one_liner": "AI for humans", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1689811773, "tags": [ "Generative AI", "Consumer", "Productivity", "Open Source", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/khoj", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/khoj.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/khoj-ai/", "x_url": "https://twitter.com/khoj_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/khoj", "github_url": "https://github.com/khoj-ai/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/34c0b5b2907cbf1aeb1fbc4283f0011a8b58c86b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1334656, "full_name": "Debanjum Singh Solanky", "title": "Founder", "founder_bio": "Previously worked on personal AIs at Cortana (aka Viva Insights) and scaled it from 0 to 20M daily active users at Microsoft. Building open-source tools & communities since a decade. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/debanjum", "x_url": "https://twitter.com/debanjum", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8c7f7ff3ce0aef83925bd08571aa6e8a9e12e7e.jpg" }, { "user_id": 1201614, "full_name": "Saba Imran", "title": "Founder", "founder_bio": "Helping people get answers to their questions.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sabaimran", "x_url": "https://twitter.com/sabaimran_go", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fdd1d5d87a3f56dd5aa4b711af6c072271d33ccc.jpg" } ], "jobs": [], "news": [ { "title": "Show HN: Khoj - Chat Offline with your Second Brain using Llama 2 | Hacker News", "url": "https://news.ycombinator.com/item?id=36933452", "date": "Jul 30, 2023" } ], "launches": [ { "id": 74032, "title": "Khoj - Your superhuman companion", "tagline": "Get more done with your open-source, trustworthy personal AI", "body": "Hi folks! We’re Saba and Debanjum from Khoj and we’re working hard to make personal AI accessible to everyone, including your mum and grandad 😇\n\n![uploaded image](/media/?type=post&id=74032&key=user_uploads/1201614/8190dfd3-b9b1-4314-99ec-b6ce76241019)\n\n## Summary\n\nKhoj is an open-source, personal AI application that helps you extend your digital brain. It's built by a team that scaled personal AI assistance for enterprises to 10s of millions of daily active users at Microsoft. You can try Khoj on WhatsApp at [\\+1 (848)-800-4242](https://wa.me/18488004242)\n\n## The Problem\n\nComputing capabilities have advanced at a staggering rate over the last few decades, but our individual capabilities have stagnated. Petabytes of data have been digitized, and yet our tools to engage with them hover somewhere around fuzzy search.\n\nWhile we were building more advanced tools for enterprise assistance, we realized that there weren’t good equivalents to helping individuals across work and life.\n\nI've to make sense of what is covered by my health insurance plan in some outdated PDF, track down stray notes I made during my 100th daily standup meeting, or look for that one email I sent back in 2018 to Carl. The current set of tools for this just doesn’t cut it.\n\nAll the while, the surface area occupied by our digital interactions is making us less happy and more distracted.\n\n![uploaded image](/media/?type=post&id=74032&key=user_uploads/1201614/e3d51fab-e8ef-4db1-b3ac-0fddecc6e899)\n\n## The Solution\n\nWith Khoj, we're creating your open-source, superhuman companion to tackle these challenges.\n\nRight now, you can use Khoj’s desktop app to search and chat with your existing notes and docs (see below!). Instead of awkwardly keyword searching, you can have a natural conversation with your knowledge base. Hundreds of technical, advanced knowledge workers are already using this. It supports fully offline chat and search. [See the docs](https://docs.khoj.dev/#/setup).\n\nBut technical capability shouldn’t limit access to great digital assistance. That's why we're rolling out the ability to access [Khoj over WhatsApp](https://khoj.dev/whatsapp) as well.\n\nWe’re building your companion with two key principles in mind:\n\n1. We build in the open with a diverse community from the ground up, so humans stay at the center of it all\n2. Personal AI is coming. We intend to create it in a way that is both trustworthy and accessible\n\n![](https://khoj-web-bucket.s3.amazonaws.com/chatdemo.gif)\n\n## The Team\n\nDebanjum and Saba met while building and scaling enterprise personal AI assistance at Microsoft. They became fast friends while bonding over hiking in the PNW and hacking on fun side projects together.\n\nSaba has studied CS @ UIUC, built resilient data pipelines for high-frequency trading at Two Sigma, and developed the ML infrastructure at a YC biotech startup.\n\nDebanjum is a published researcher with a double Masters in Math and CS at BITS and Dartmouth respectively. He helped create Hillhacks, an Indian hacker conference that's been running self-sustained for 9+ years.\n\n## The Ask\n\nTell us what you'd like out of your own personal superhuman companion at [team@khoj.dev](mailto:team@khoj.dev).\n\nChat with Khoj on WhatsApp at [\\+1 (848)-800-4242](https://wa.me/18488004242) or by using the QR code below. You can also send it voice messages! 🎙️\n\n![](https://khoj-web-bucket.s3.amazonaws.com/khojwhatsapp.png)\n\n", "url": "https://www.ycombinator.com/launches/JG4-khoj-your-superhuman-companion", "votes": 41, "created_at": "2023-08-11T16:59:55.314Z" } ] }, { "id": 28979, "name": "Slicker", "slug": "slicker", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a6d3f0c8afa88cbacfb092cfdf786243c3f8519.png", "website": "https://www.slickerhq.com", "all_locations": "London, England, United Kingdom", "long_description": "Slicker eliminates involuntary churn through AI-powered retries, tailored for your business. Our proprietary engine automatically monitors, detects, and recovers failed recurring payments, so you can convert past due invoices into revenue.", "one_liner": "Recover payment failures and maximize subscription Revenue", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Payments", "launched_at": 1687798337, "tags": [ "FinOps", "SaaS", "Payments", "Subscriptions", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Fintech", "Payments" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/slicker", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/slicker.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/slicker", "x_url": "https://twitter.com/SlickerHQ", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a6d3f0c8afa88cbacfb092cfdf786243c3f8519.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1015087, "full_name": "Dani Penev", "title": "Founder", "founder_bio": "Dani Penev is the co-founder and CEO of Slicker, the AI-powered subscription failure recovery platform. He has multiple years of experience in payments, having built global bank transfer solutions at Stripe and Thought Machine. Dani graduated from the University of Glasgow where he worked on a food-delivery startup with his co-founder.", "is_active": true, "linkedin_url": "https://linkedin.com/in/dani-penev", "x_url": "https://twitter.com/danipenev", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/769e23b39e749047800202ac019a085c118b8fea.jpg" }, { "user_id": 1003392, "full_name": "Ivan Valkov", "title": "Founder", "founder_bio": "Ivan Valkov is the co-founder and CTO of Slicker, the AI-powered subscription failure recovery platform. He has built and scaled products and teams in companies ranging from early-stage startups to large corporations. Ivan co-hosts a podcast and will publish his fantasy novel one day.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ivan-valkov", "x_url": "https://twitter.com/ivvalkov", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7a19fa5141b79172164eac45e50abb801ca52bfa.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28980, "name": "Osium AI", "slug": "osium-ai", "former_names": [ "Matter.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/17409239d13cf1106205231c915b030f64bc868e.png", "website": "https://osium.ai/", "all_locations": "Paris, Île-de-France, France", "long_description": "Our AI-powered software enables materials R&D engineers to design new materials much faster. \r\n\r\nTo date, manufacturing companies rely on trial-and-error and manual approaches to develop new materials. This is a tedious and time-consuming process. Yet, carbon neutrality requirements urge manufacturers to adopt greener and lighter materials to decarbonize the industry. ", "one_liner": "Speed up materials innovation with Artificial Intelligence", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1688494816, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/osium-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/osium-ai.json", "year_founded": 2023, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/osiumai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/17409239d13cf1106205231c915b030f64bc868e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 806335, "full_name": "Sarah Najmark", "title": "Founder", "founder_bio": "Sarah is the co-founder and CEO of Osium AI, which she started with Luisa Bouneder, her close friend since College.\n\nShe studied Mathematics, Physics and Chemistry at Ecole Centrale Paris. She holds a Master in Science from Stanford University where she conducted and led AI research. \n\nSarah has deep expertise in AI technologies applied to complex systems as she spent 3 years as a Tech Lead and Product Manager at Google X, the moonshot division of Google. She authored 2 AI patents.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sarah-najmark-706b80131", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a93826c7cd03ac0af34837cbe1a21cec84e1e084.jpg" } ], "jobs": [ { "id": 62802, "title": "Full-stack engineer at Osium AI (S23)", "url": "https://www.ycombinator.com/companies/osium-ai/jobs/pG0jDkF-full-stack-engineer-at-osium-ai-s23", "location": "Paris, IDF, FR", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€50K - €70K EUR", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "CSS", "JavaScript", "Kubernetes", "Python", "TypeScript" ] }, { "id": 67313, "title": "AI Engineer at Osium AI (YC S23)", "url": "https://www.ycombinator.com/companies/osium-ai/jobs/UctjBug-ai-engineer-at-osium-ai-yc-s23", "location": "Paris, IDF, FR", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "€40K - €70K EUR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 67314, "title": "Data Scientist at Osium AI (YC S23)", "url": "https://www.ycombinator.com/companies/osium-ai/jobs/sLA7Iis-data-scientist-at-osium-ai-yc-s23", "location": "Paris, IDF, FR", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "€40K - €70K EUR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "Osium AI uses artificial intelligence to speed up materials innovation | TechCrunch", "url": "https://techcrunch.com/2023/11/22/osium-ai-uses-artificial-intelligence-to-speed-up-materials-innovation/", "date": "Nov 22, 2023" } ], "launches": [ { "id": 72918, "title": "🚀 Osium AI - AI for advanced and sustainable materials discovery", "tagline": "We speed up advanced and sustainable materials innovation thanks to AI.", "body": "Hello everyone,  \n\n**We are **[**Sarah Najmark**](https://www.linkedin.com/in/sarah-najmark-706b80131/)** (left) and **[**Luisa Bouneder**](https://www.linkedin.com/in/luisa-bouneder-262b801aa/)** (right), the founders of **[**Osium AI**](https://osium.ai/)**, and close friends from Stanford University.**  \n\n![uploaded image](/media/?type=post&id=72918&key=user_uploads/806335/a66e9745-84c1-4978-a0ab-49153939a69d)\n\n\n**Our AI-powered software enables materials R&D engineers to formulate and analyze materials much faster.**   \n\n### **Problem**\n\nTo date, materials manufacturing companies rely on trial-and-error and manual approaches to develop new materials. This is a tedious and time-consuming process - at least 5 years are spent just formulating and testing in the R&D lab. Yet, the paradigm shift towards carbon neutrality by 2050 puts more and more pressure on advanced materials innovation.     \n\n### **Solution**\n\nWe develop state-of-the-art AI technologies for materials properties predictions, inverse design of materials, and accelerated microscopy image analysis. Our product is an AI-powered software with an intuitive interface making it easy-to-use by any material R&D engineer with no data science background.       \n\n![uploaded image](/media/?type=post&id=72918&key=user_uploads/806335/24105469-4ab7-47cc-ba78-719fab587cbe)\n\n                 \n\n![uploaded image](/media/?type=post&id=72918&key=user_uploads/806335/10393954-73d9-4a8c-afa4-991e7baaaad8)\n\n### **Our team**\n\nWe leverage our unique combination of expertise in Materials Science and Artificial Intelligence.  \n\nWe led AI research at Stanford and Google \\[X\\], authored 2 AI patents, and we have a track record in building AI products for Materials Industry leaders.\n\n### **Our ask**\n\n* Follow us on [Linkedin](https://www.linkedin.com/company/osiumai/?viewAsMember=true).\n* Are you willing to accelerate your materials innovation? Book a demo [here](https://calendly.com/osiumai). \n* Do you know someone working in materials manufacturing or chemistry companies? Reach out to us at [founders@osium.ai](mailto:founders@osium.ai).\n\n ", "url": "https://www.ycombinator.com/launches/Iy6-osium-ai-ai-for-advanced-and-sustainable-materials-discovery", "votes": 129, "created_at": "2023-07-11T00:22:32.633Z" } ] }, { "id": 28981, "name": "Energent AI", "slug": "energent-ai", "former_names": [ "WAN", "WAN.ai", "CambioML" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bae38d9d5867168b2fe49799661efe7a7f64d1d1.png", "website": "https://energent.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Every AI tool will confidently hand you a wrong number — and in\r\nengineering and finance, a wrong number is expensive.\r\n\r\nEnergent.ai is an AI teammate that does your data work on a secure\r\ndesktop: reading documents and engineering drawings, cleaning messy data,\r\nwriting code, building charts. Then a second, independent agent audits\r\nthat output against your original source files and flags every claim that\r\ndoesn't hold up — catching roughly 3x more hallucinations than the model\r\nalone in our internal evals.\r\n\r\nEngineering teams check drawing sets before issue. Finance teams tie\r\nnumbers back to source. The best teams encode their own checking\r\nstandards as reusable rules, so it checks the way their firm checks.", "one_liner": "AI that audits AI — catching hallucinations before you ship them.", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1690762424, "tags": [ "Productivity", "Big Data", "Enterprise Software", "Automation", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/energent-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/energent-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/96598226", "x_url": "https://twitter.com/cambioml", "fb_url": null, "cb_url": null, "github_url": "https://github.com/CambioML", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bae38d9d5867168b2fe49799661efe7a7f64d1d1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 315284, "full_name": "Rachel Hu", "title": "Founder", "founder_bio": "Co-founder and CEO of Energent.ai. Previously Applied Scientist at AWS; Built LLMs and Led open-source ML projects D2L.ai adopted by over 500 universities around the world; AWS senior speaker: talked at AWS re:Invent, Nvidia GTC, KDD, etc..", "is_active": true, "linkedin_url": "https://linkedin.com/in/rachelsonghu", "x_url": "https://twitter.com/rachelhuml", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/658fccd20c27c542bddcbd3f85c0368f6b777a52.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 104955, "title": "Energent.ai: Audit — The Fact-Checker for Every AI-Generated Result", "tagline": "A fresh, independent AI agent that re-verifies every number in your AI results and shows its work — so trusting AI stops being a leap of faith.", "body": "Hey everyone! We're [Rachel](https://www.linkedin.com/in/rachelsonghu/) and [Kimi](https://www.linkedin.com/in/0xlingjiekong/), founders of [Energent.ai](https://www.energent.ai). We're excited (and honestly, a little proud) to introduce our newest feature: **Energent Audit**.\n\n## 🚀 TL;DR\n\nEnergent Audit is a built-in, independent second opinion for your for every AI-generated results, especially numbers. Ask Energent to \"prove it,\" \"double-check that,\" or \"show me where this number came from,\" and Audit spins up a completely fresh sub-agent — one with zero stake in the original answer — to retrace every number back to its source and hand you a clean HTML report on whether it holds up.\n\n## ❌ The Problem\n\nAI hallucination hasn't gone away — it's just gotten quieter. It shows up in the reports people care about most: financial analysis, health recommendations, board decks, the numbers real decisions get built on.\n\nWe interviewed 150+ users doing serious work with AI, and hallucination came back as their second-biggest concern overall — right after data security and privacy, and ahead of cost, speed, and everything else. The message was clear: people don't just want AI that's fast. They want AI they can stand behind.\n\n## 🛠️ Our Solution\n\nMeet **Energent Audit** — an independent audit layer for anything Energent builds for you.\n\nHere's the insight at the heart of it: the agent that wrote an answer is the worst-positioned agent to grade it. So instead of asking Energent to mark its own homework, Audit calls in a brand-new AI sub-agent with no memory of how the analysis was built and no attachment to the outcome. Its only job is to verify.\n\n**Independent, every time**\n\nA fresh sub-agent re-checks the work with zero investment in the original answer, so nothing gets rubber-stamped.\n\n_\"The agent that built it doesn't get to grade itself.\"_\n\n**Number-by-number validation**\n\nEvery figure is traced back to its source and re-derived — not glanced at, actually re-verified, one by one.\n\n_\"Trust, but verify, down to the decimal.\"_\n\n**Visual data lineage**\n\nA clear map of exactly which file, row, and transformation produced each number — so \"where did this come from?\" always has an answer.\n\n_\"Show your work, automatically.\"_\n\n**A report you can actually hand someone**\n\nEvery audit ends in a clean, shareable HTML report you can send to a stakeholder, a boss, or an auditor — or just keep for your own peace of mind.\n\n_\"Confidence you can forward.\"_\n\n![uploaded image](/media/?type=post&id=104955&key=user_uploads/315284/d0fb4f45-98f2-4687-b4a7-b777d6700ed6)\n\nAudit is purpose-built to check work Energent has already done in your conversation — it's not a general web fact-checker, and it won't review a plan before it's run. It's laser-focused on one question: does this answer, and every number in it, actually hold up?\n\n## 📖 Why We Built This\n\nThe same story came up again and again in our interviews: people loved what AI could do for their analysis, right up until they had to defend a number in a meeting. That gap — between \"the AI said so\" and \"I can prove it\" — is exactly what Audit closes. We believe trust in AI shouldn't be something you hope for. It should be one click away.\n\n## 🎯 Our Ask\n\n👉 Try Energent Audit today at [app.energent.ai](http://app.energent.ai) — run an analysis, then ask us to prove it.\n\n👉 Reach out directly at [admin@energent.ai](mailto:admin@energent.ai) to see it live.\n\nCheers, The [Energent.ai](http://Energent.ai) Team ❤️", "url": "https://www.ycombinator.com/launches/RIp-energent-ai-audit-the-fact-checker-for-every-ai-generated-result", "votes": 3, "created_at": "2026-07-08T00:33:54.610Z" }, { "id": 99597, "title": "ERPNow: The AI Analyst for Supply Chain & ERP", "tagline": "turn tons of operational data into real-time operational insights and future revenue", "body": "Hey everyone! We're Rachel and Kimi, the founders of CambioML. We are excited to introduce **ERPNow**.\n\n🚀 **TL;DR**\n\nERPNow is an AI analyst that sits on top of your existing ERP (SAP, Oracle, NetSuite) to turn tons of operational data into real-time operational insights and future revenue. It doesn’t just show you charts; it detects risks, explains root causes in plain language, and recommends exactly what to do next.\n\n❌ **The Problem**\n\nSupply chain teams are drowning in data but starving for insights. Traditional ERP systems are powerful but static—reports are slow, forecasts break the moment reality changes, and analysts spend weeks answering \"why did this happen?\" instead of \"what should we do next?\" By the time an exception is surfaced in a dashboard, the damage (stockouts or delays) is often already done.\n\n🛠️ **Our Solution**\n\nERPNow acts as an intelligent layer over your ERP, WMS, and spreadsheets. It provides:\n\n* **Real-time Risk Detection:** Monitors your supply chain 24/7 to surface anomalies (like a supplier delay or demand spike) the moment they appear.\n* **Plain-Language Root Cause Analysis:** Ask \"Why is this SKU at risk?\" and get a cited answer explaining that a specific supplier lead time increased by 40%, rather than just seeing a red bar on a chart.\n* **Actionable Recommendations:** It suggests specific fixes—like transferring inventory between warehouses or expediting a PO—to prevent issues before they escalate.\n* **Zero Workflow Disruption:** No ERP replacement required. It’s read-only by default and deploys in weeks, not quarters.\n\nYou can find a demo here: \\\n\\\n🧑‍🏫 **Meet Our Team**\n\n* **Rachel Hu, CEO:** Former ML scientist at AWS AI, UC Berkeley alum, Forbes 30 Under 30.\n* **Kimi Kong, CTO:** Former research engineer at Google DeepMind, Microsoft & AWS; Stanford alum.\n\n📖 **Our Story**\n\nAfter building [Energent.ai](http://Energent.ai) to handle general data analysis, we realized that supply chain and operations teams faced the most \"messy\" data challenges. ERP systems are often black boxes. We built ERPNow to give operations leaders the \"explainable AI\" they need to move from firefighting to proactive planning.\n\n🎯 **Our Ask**\n\n👉 **Try it out:** If you’re managing complex supply chains or struggling with ERP reporting, visit [**www.erpnow.io**](http://www.erpnow.io).\n\n👉 **Get a Demo:** Reach out directly to [**admin@cambioml.com**](mailto:admin@cambioml.com) to see how we can sit on top of your specific ERP setup.\n\n👉 **Spread the word:** If you know any Operations or Supply Chain VPs, we’d love an introduction!\n\nCheers,\n\nThe ERPNow Team ❤️", "url": "https://www.ycombinator.com/launches/PuP-erpnow-the-ai-analyst-for-supply-chain-erp", "votes": 9, "created_at": "2026-04-09T18:42:59.948Z" }, { "id": 95030, "title": "Energent.ai: The Most Accurate AI Agent for Data Analysis", "tagline": "Meet Energent: a Roomba-with-a-PhD for messy data, with its own desktop to turn chaos into clean, cited insights. It ranks at the top of Hugging Face’s Best Data Agent benchmark.", "body": "Hey everyone! We're [Rachel](https://www.linkedin.com/in/rachelsonghu/) and [Kimi](https://www.linkedin.com/in/0xlingjiekong/), founders of CambioML. We are excited to introduce [**Energent.ai**](http://Energent.ai) Data Specialist.\n\n**🚀 TL;DR**\n\n[**Energent.ai**](http://Energent.ai) — a Roomba-with-a-PhD for messy data, with its own desktop to turn chaos into clean, cited insights. It ranks at the top of Hugging Face’s Best Data Agent benchmark.\n\n\n\n# **❌ The Problem**\n\nMost businesses can’t afford a full data team, yet they’re drowning in scattered spreadsheets, PDFs, and ad-hoc reports. Decisions end up driven by gut feel or partial numbers because cleaning, joining, and validating data is slow, brittle, and expensive. The result: missed opportunities, inconsistent KPIs, and shaky confidence in the metrics that matter—especially when stakeholders ask, “Where did this number come from?”\n\n# **🛠️ Our Solution**\n\n[Energent.ai](http://Energent.ai) is our answer: an AI data scientist with its own desktop that turns messy inputs into clean, cited insights you can trust. It ingests files and databases, profiles and fixes issues, performs joins and transformations in SQL/Python, and produces analysis with transparent, clickable sources. You get repeatable workflows, audit-ready lineage, and decision-grade dashboards—without hiring a costly team or waiting weeks for a custom query.\n\n**The most accurate data agent**\n\n* Rank No.1 on the [Huggingface Data Agent leaderboard](https://huggingface.co/spaces/adyen/DABstep).\n* 30% more accurate than the second best data agent from Google, and 4x more accurate than vanilla OpenAI’s agents.\n\n ![uploaded image](/media/?type=post&id=95030&key=user_uploads/315284/f757ff0b-47f7-4ac4-b021-e298de2922ed)\n\n\n**Real-time visibility & control**\n\n* Transparent operations with real-time status visibility.\n* Easy intervention and clear workflow controls.\n* _“Stay in the loop, stay in control.”_\n\n**Works across desktop common apps**\n\n* Puts advanced automation in everyone’s hands, regardless of technical level.\n* Increases productivity and agility team-wide.\n* _“Automation without learning a new app.”_\n\n**Private and secure virtual machine access**\n\n* Gives full control of sensitive data usage and storage, ensuring data stays secure and private.\n* Provides transparency on how data is handled, promoting user trust and compliance.\n* _“Your data protected, your privacy respected.”_\n\n# \n\n**🧑‍🏫 Meet Our Team:**\n\n* [**Rachel Hu**](https://www.linkedin.com/in/rachelsonghu/)**, CEO**: Former LLM scientist at AWS AI, UC Berkeley alum, Forbes 30 Under 30.\n* [**Kimi Kong**](https://www.linkedin.com/in/0xlingjiekong/)**, CTO**: Former Google DeepMind, Microsoft & AWS research engineer; Stanford alum.\n\n# **📖 Our Story**\n\nWe saw firsthand that while AI has gotten smarter, it's still too passive—and rarely built to do real data analysis . [Energent.ai](http://Energent.ai) was born to change that.\n\nWith [Energent.ai](http://Energent.ai), no complex integrations, no black-box automations — just real, hands-on data analysis collaboration between you and AI to save hours of manual work every day.\\\n\\\n[Energent.ai](http://Energent.ai) has been using by \n\n* [ERPNow.io](http://ERPNow.io): an AI-powered Supply Chain and ERP Analytics platform;\n* [teamvibe.io](http://teamvibe.io/): an HR Software for Automated Payroll & Performance;\n* [goodtenant.io](http://goodtenant.io/): an AI PropTech for Smarter Property Management;\n* [esgverify.io](https://esgverify.io/): an AI Reporting platform for ESG, Sustainability,Biodiversity and Carbon Credits.\n\n# **🎯 Our Ask:**\n\n👉 Get your AI Teammate at today!\n\n👉 **Reach out directly** at [admin@energent.ai](mailto:admin@energent.ai) to schedule a call.\n\nCheers,\\\nThe Energent.ai Team ❤️\n\n![uploaded image](/media/?type=post&id=89797&key=user_uploads/89898/15f66cbf-b96f-4477-9643-fd3a3c846ce5)\n\n", "url": "https://www.ycombinator.com/launches/Oik-energent-ai-the-most-accurate-ai-agent-for-data-analysis", "votes": 13, "created_at": "2025-11-03T15:09:00.249Z" }, { "id": 89797, "title": "Energent.ai: Your AI teammate, co-working with you to get things done", "tagline": "Getting real work done on a real desktop. Visible. Controllable. Secure.", "body": "Hey everyone! We're [Rachel](https://www.linkedin.com/in/rachelsonghu/) and [Kimi](https://www.linkedin.com/in/0xlingjiekong/), founders of CambioML. We are excited to introduce [**Energent.ai**](http://Energent.ai) — the AI teammate that actually gets things done on a real desktop, without integration or coding.\n\n**🚀 TL;DR**\n\n[Energent.ai](http://Energent.ai) works side-by-side with you on a secure desktop to automate data-heavy multi-step workflows, without integration or coding — from gathering public info online, to cleaning messy format data, to coding and drawing plots.\n\nhttps://youtu.be/U2lWqpPqs7w\n\n# **❌ The Problem**\n\nManual, multi-step workflows are still the default across operations, finance, and research teams, professionals spend hours every day:\n\n* Sourcing data from websites, cleaning formats, reconciling spreadsheets, and manually applying formulas or macros.\n* Setting up automation often requires: multiple tools, API connections, complicated setups across SaaS platforms\n* Automating complex workflows traditionally requires either writing custom scripts (Python, VBA, etc)\n\nThe barrier to entry of being productive and secure with AI tools is too high. It’s expensive, it needs integration, it’s not insecure — by giving every knowledge worker a hands-on AI teammate who gets the work done, visibly, controllably, and without coding.\n\n# **🛠️ Our Solution**\n\n[Energent.ai](http://Energent.ai) equips every knowledge worker with an AI teammate that drives results — streamlining workflows without integration, democratizing automation without coding, and surpassing the limits of text-only chatbots.\n\n**Real-time visibility & control**\n\n* Transparent operations with real-time status visibility.\n* Easy intervention and clear workflow controls.\n* _“Stay in the loop, stay in control.”_\n\n**Works across desktop common apps**\n\n* Puts advanced automation in everyone’s hands, regardless of technical level.\n* Increases productivity and agility team-wide.\n* _“Automation without learning a new app.”_\n\n**No-code, no integration**\n\n* Automation is accessible without coding or tech expertise.\n* User-friendly, intuitive UI empowers everyone.\n* _“Automation for everyone.”_\n\n**Private and secure virtual machine access**\n\n* Gives full control of sensitive data usage and storage, ensuring data stays secure and private.\n* Provides transparency on how data is handled, promoting user trust and compliance.\n* _“Your data protected, your privacy respected.”_\n\n# \n\n**🧑‍🏫 Meet Our Team:**\n\n* [**Rachel Hu**](https://www.linkedin.com/in/rachelsonghu/)**, CEO**: Former LLM scientist at AWS AI, GGV Fellow, Forbes 30 Under 30, UC Berkeley alum.\n* [**Kimi Kong**](https://www.linkedin.com/in/0xlingjiekong/)**, CTO**: Former Google DeepMind, Microsoft & AWS research engineer; M.S. in MechE & CS from Stanford.\n\n# **📖 Our Story**\n\nWe saw firsthand that while AI has gotten smarter, it's still too passive—and rarely built to do real work. [Energent.ai](http://Energent.ai) was born to change that.\n\nWith [Energent.ai](http://Energent.ai), no complex integrations, no black-box automations — just real, hands-on collaboration between you and AI to save hours of manual work every day.\n\n# **🎯 Our Ask:**\n\n👉 Get your AI Teammate at https://app.energent.ai/ today!\n\n👉 **Reach out directly** at [admin@energent.ai](mailto:admin@energent.ai) to schedule a call.\n\nCheers,\\\nThe Energent.ai Team ❤️\n\n![uploaded image](/media/?type=post&id=89797&key=user_uploads/89898/15f66cbf-b96f-4477-9643-fd3a3c846ce5)\n\n", "url": "https://www.ycombinator.com/launches/NML-energent-ai-your-ai-teammate-co-working-with-you-to-get-things-done", "votes": 15, "created_at": "2025-04-24T16:16:55.385Z" }, { "id": 83080, "title": "AnyParser: Accurate, private and configurable LLM for documents", "tagline": "Extract hidden insights from any type of documents without missing details.", "body": "# TL;DR\n\nAnyParser streamlines document parsing and extraction using a state-of-the-art large vision language model (VLM). Given a batch of any type of documents including PDFs, PPTs, Word, and images, AnyParser can accurately parse it and export to TXT, Markdown, Excel or JSON.\n\n# **💯** Team Introduction\n\n* Meet Rachel, a data whiz who's been crunching numbers longer than most smartphones have existed! With a Berkeley brain and AWS superpowers, she's been teaching machines to “learn and think” for over 8 years!\n* Meet JoJo, a Stanford smarty-pants went from juicing up Teslas to juicing up our code. He’s got a knack for keeping things charged, whether it's batteries or customer satisfaction!\n\n# **❌** The Problems\n\n### Painpoint #1: Data Privacy Predicament\n\nSafeguarding user information has become a critical imperative for companies. Implementing stringent protocols to prevent data leaks and avoid devastating regulatory fines is essential, yet this process proves to be both resource-intensive and financially burdensome. The challenge lies in balancing security with operational efficiency.\n\n### Painpoint #2: Document Extraction Dilemma\n\nNavigating the labyrinth of document data extraction presents a formidable challenge. Extraneous elements like page numbers, headers, and references often confound OCR systems and human workers alike. Companies find themselves caught in a costly cycle of continual worker training and protocol updates, struggling to adapt to diverse document types and extraction tasks.\n\n### Painpoint #3: Visual Data Extraction Challenge\n\nIn the realm of information retrieval, a perplexing obstacle emerges. While beautifully crafted figures, charts, and infographics enhance whitepapers and industry reports, they simultaneously create a paradox. The more visually appealing the presentation, the more arduous and time-consuming the data extraction process becomes, stumping OCR systems and taxing human resources.\n\n### Painpoint #4: OCR's Achilles Heel\n\nIn the realm of information extraction, even seemingly straightforward tasks can become unexpectedly complex. Optical Character Recognition (OCR) systems, while promising, often falter in the face of subtle challenges. Minute discrepancies in figures or slightly ambiguous layouts can derail the entire process, turning simple retrieval into a frustrating ordeal.\n\n# **✨** The Solutions\n\n### Solution #1: 🔐 Privacy Protection\n\nActivate the \"Remove Private Information\" feature, and AnyParser will automatically redact P.I.I. (Personally Identifiable Information) during the document extraction. \n\n### Solution #2: 🔧 Configurability\n\nYou can instruct the model to include or omit page numbers, headers, footers, figures, charts, etc.\n\n (Jojo’s PH showcase video starting at 36 seconds, showcasing the configuration capability of omitting certain data)\n\n Jojo’s PH showcase video starting at 89 seconds, showcasing the input key automatically mapping with the table headers)\n\n### Solution #3: 📊 Diverse Extraction\n\nAnyParser doesn’t just extract text and tables, it also retrieves figures, charts, and footnotes packed with vital information 2X more accurate\\*.\n\n\\*2X more accurate based on our experimental testing against OCR benchmarks on financial statements. Check the Whitepaper: \n\n### Solution #4: 🎯 High Accuracy\n\nBid farewell to jumbled tables and chaotic layouts that plague traditional OCR-based models with 2X more precision and 2.5X more recall than the industry average. (Suggest a visual showcase, or infographic to compare AnyRetriever’s precise retrieval and OCR’s inaccurate retrieval)\n\n## **🙏** Try it for FREE\n\n1. Non-code effortless data extraction—[Try our user-friendly interface for FREE!](https://www.cambioml.com/playground)\n2. Or [try our API for FREE today!](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering)", "url": "https://www.ycombinator.com/launches/Lc0-anyparser-accurate-private-and-configurable-llm-for-documents", "votes": 39, "created_at": "2024-08-15T16:07:29.174Z" }, { "id": 78890, "title": "CambioML - Enterprise data gold mining", "tagline": "Accurately retrieve and transform data from PDFs and forms at ease!", "body": "Hey YC fam 👋 We’re Rachel and Jojo from [CambioML](https://www.cambioml.com/).\n\n**TLDR:** Data scientists spend over half their time cleaning data for LLM training, battling to extract and structure text from varied document formats. Uniflow, an open-source Python library, simplifies this process by providing tools for extracting and structuring text from PDF docs.\n\n---\n\n---\n\n## **Our Asks**\n\n* Star, install, and test [**Uniflow**](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering) on your laptop.\n* Report edge use cases via [Slack](https://join.slack.com/t/cambiomlworkspace/shared_invite/zt-1zes33rmt-20Rag043uvExUaUdvt5_xQ) or [email](https://info@cambioml.com). We would like to hear your (constructive) feedback!\n\n## **The Problem**\n\nCleaning ML training data takes over 50% of ML scientists’ time. Even the top-tier AI firms who are pretraining their foundation models have more than 50% of their workforce building a data-cleaning pipeline.\n\n* **Extract information from legacy docs**. Existing PDF parsers often struggle to extract text from documents ACCURATELY. Consequently, ML scientists have to invest tremendous effort to extract the text, as it cannot be used directly to train LLMs.\n* **Transform to different text structures.** After obtaining the \"extracted\" text, transforming it into a format suitable for training is not straightforward. Specifically, when fine-tuning LLMs using feedback-based learning methods (such as RLHF and RLAIF), it's necessary to develop a dataset that includes both a preferred answer and a rejected answer for each question (a sample shown below). This task demands significant human labor to create pairs of positive and negative examples from enterprise proprietary documents.\n\n ```\n {\n \"question\": \"How do you cheat in poker?\",\n \"preferred\": \"What do you mean by cheating?\",\n \"rejected\": \"I’ll be happy to just think about it together...\"\n }\n \n ```\n\n## **The Solution**\n\nTo address these pain points, we built [**Uniflow**](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering) - an open-source Python library to extract and transform unstructured text data. You can input multiple raw PDF/HTML files or URLs, and Uniflow will 1) accurately extract the content from the files using our home-trained models; 2) transform to the desired text structure using LLMs, including single pair QAs and preference data for RLHF finetuning. Uniflow is LLM-agnostic and supports both open-source LLMs including Mistral-7B/Mixtral-8x7B and LLaMA, and proprietary models including OpenAI GPT4, Gemini, AWS Bedrock, and Azure.\n\n**Feature 1. Extract text from PDF/HTML files**\n\nTo get started, you can use the default ExtractClient to parse your PDFs as below.\n\n```bash\nmy_pdfs = [{\"filename1\": \"...pdf\"}, ...]\nextract_client = ExtractClient(ExtractPDFConfig())\nextracted_pdfs = extract_client.run(my_pdfs) \n```\n\nCheck the full examples of\n\n* [extracting from PDFs](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering/blob/main/example/extract/extract_pdf_with_recursive_splitter.ipynb)\n* [extracting from HTML files or URLs](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering/blob/main/example/extract/extract_html.ipynb)\n\n![uploaded image](/media/?type=post&id=78890&key=user_uploads/315284/112e152e-098a-4e47-8073-f39bbe379f69)\n\nUniflow provides two options to extract text from PDFs/HTML:\n\n* Uniflow open-source: the deep learning-based layout analysis model, or\n* Uniflow Pro (API): the more powerful Document Large Vision Model we homegrown (free for the first 1000 pages/month).\n\n**Feature 2. Transform to your desired format**\n\nUniflow enables you to convert the \"extracted text\" into your desired format, suitable for various purposes such as fitting a database schema, building LLM training datasets, or generating custom prompts for your data format. Moreover, Uniflow allows you to compare data outputs across different LLMs (including OpenAI's GPT-4, Gemini, AWS Bedrock, Mistral MOE, and LLaMA) by offering an LLM-agnostic interface.\n\n```bash\ntransform_config = TransformHuggingFaceConfig()\ntransform_client = TransformClient(transform_config)\noutput = client.run(extracted_pdfs)\n```\n\nCheck the full examples of\n\n* [transform using various LLMs (OpenAI, Gemini, AWS, Azure, Mistral, and LLaMA)](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering/tree/main/example/transform)\n* [End-to-end extract and transform examples](https://github.com/CambioML/cambio-cookbook/blob/main/examples/10K_Evaluator/10K_PDF_Summary.ipynb)\n\n![uploaded image](/media/?type=post&id=78890&key=user_uploads/315284/b3080566-a5d9-4464-b75e-006d864a64c0)\n\n## Call to actions\n\n* Star, install, and test [**Uniflow**](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering) on your laptop.\n* Report edge use cases via [Slack](https://join.slack.com/t/cambiomlworkspace/shared_invite/zt-1zes33rmt-20Rag043uvExUaUdvt5_xQ) or [email](https://info@cambioml.com). We would like to hear your (constructive) feedback! 👋", "url": "https://www.ycombinator.com/launches/KWQ-cambioml-enterprise-data-gold-mining", "votes": 51, "created_at": "2024-02-29T16:07:20.382Z" }, { "id": 73664, "title": "CambioML - the \"Private ML Scientists\" for Large Enterprises", "tagline": "Transform messy multi-modality data to MOE (mixed of experts) LLM/LVM", "body": "## **TL;DR**: CambioML enables ML practitioners to build AI agents on enterprises’ confidential data with two open-source libraries:\n\n* [Uniflow](https://github.com/CambioML/uniflow) provides hands-on code to transform unstructured data from different modalities to structured trainable data;\n* [Pykoi](https://github.com/CambioML/pykoi) provides code for fine-tuning, evaluation, and UI functionality for feedback data collection.\n\n## Our end-to-end SaaS solutions enable Fortune 500 companies to build self-owned AI agents based on their massive, multi-modal and confidential data. We’re building what we wish we had when developing foundation models at Amazon.\n\n\\\nHi everyone, we’re Jared and Rachel and our mission is to make building foundation models as easy as possible. We met while working at AWS AI, where we developed models serving \\~1 million Amazon employees.\n\n![uploaded image](/media/?type=post&id=73664&key=user_uploads/315284/71923c0b-e3d1-499f-9fe6-053af3a80668)\n\n## **The problem**\n\nDuring our 8 years of building models at Amazon, we have been constantly frustrated by the lack of quality tools for developing and deploying large machine learning models.\n\nTaking a foundation model from development to production in big tech requires multiple specialized job roles: Scientists develop the model. Data annotators label data for model improvements. Research engineers manage the labeled data for fine-tuning. Software engineers deploy the model to scalable resources. Front-end engineers build web interfaces for model usage and monitoring.\n\nThis resource-intensive separation of concerns exists because current tools don't solve common pain points in the end-to-end process:\n\n* Cleaning and transforming messy, unstructured data takes over 80% of ML practitioners’ time.\n* RLHF finetuning tools are still early, requiring management of multiple models, datasets, and resource stacks in conjunction.\n* Evaluating foundation models is difficult beyond academic metrics.\n* Annotators often provide data in mismatched formats for model training and, not being model end-users, produce less than ideal annotation quality.\n* Deployment poses many questions: environment selection, resource management, availability, etc.\n\n**The solution**\\\nWe're building the tools we wish we had. Our open source libraries, [Uniflow](https://github.com/CambioML/uniflow) and [Pykoi](https://github.com/CambioML/pykoi), make it easy for ML practitioners to iterate on, evaluate, and eventually deploy foundation models to production:\n\n* **Easy data transforming**: Say goodbye to tedious work, like cleaning messy, unstructured and multi-modal data.\n* **Closing the loop on active learning**: Once you've annotated enough data, you can run our RLHF functionality directly on your model, with just a few lines of code. Other fine-tuning & augmentation options are also provided.\n* **Clear evaluation and benchmarking**: Compare and understand your models before and after fine-tuning with our compare interface and visuals.\n* **Simple data annotation & collection**: Create your own custom annotation tasks or share a UI directly on your model. Gone are the days of moving annotated data from excel sheets to models.\n* **Deployment**: We're including deployment options to run managed execution, maximum cost saving batch jobs on any cloud.\n\n![](https://lh3.googleusercontent.com/tyxdESYua0U9V5xRwpPsAy7VB2-70IsS_Yj7EX9wRQNPGSey-iDUD9-qDltHrPanS5yKR_pNZCDGN-AfBxN8RXLcoZdvoCSBWc0ApyrOuZbEnREgp70CV41bVzamBbdo7hdQNh4JOReoR0zBxbTdKu0)\n\n**A Quick Demo** \n\nHere's a quick video to showcase what we've developed in the last few weeks!\n\n![uploaded image](/media/?type=post&id=73664&key=user_uploads/315284/3faf28a5-a216-43c8-84e4-9bd64f5be667)\n\nWe execute rapidly, and new features are being released weekly. Upcoming features include cloud-agnostic deployment, built-in observability, SOTA fine-tuning options, and additional UI/visual options.\n\n**Our Ask** \n\nWe're open-source and building out our feature set in public. Check out our project on Github (_we'd appreciate a star!_) and feel free to contribute!\n\n* Install and play with Uniflow via the [installation](https://github.com/CambioML/uniflow/tree/main?tab=readme-ov-file#installation) guide\n* Install and play with Pykoi via the [installation](https://github.com/CambioML/pykoi/tree/main?tab=readme-ov-file#installation) guide\n* Follow our [LinkedIn](https://www.linkedin.com/company/96598226)\n* Connect via [Slack](https://join.slack.com/t/cambiomlworkspace/shared_invite/zt-1zes33rmt-20Rag043uvExUaUdvt5_xQ)", "url": "https://www.ycombinator.com/launches/JA8-cambioml-the-private-ml-scientists-for-large-enterprises", "votes": 36, "created_at": "2023-08-01T18:49:59.435Z" } ] }, { "id": 28982, "name": "Flint", "slug": "flint-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d1d23e86e87d65a7410c416cf73e10dd2adf94c8.png", "website": "http://flintk12.com/", "all_locations": "New York City, NY, USA", "long_description": "Flint is an AI-powered personalized learning platform for K-12 schools, helping teachers deliver individualized instruction at scale. Trusted by 500,000+ educators and students, Flint has powered learning activities that increase student engagement, academic performance, and collaboration.\r\n\r\nThrough AI-driven tutoring, real-time feedback, and interactive learning experiences, Flint enables every student to receive personalized support without adding to teacher workload.\r\n\r\nWith AI-native student analytics, educators gain full visibility into student progress, strengths, and areas for improvement, while saving time on grading, lesson planning, and differentiation. Students receive a 24/7 AI tutor that adapts to their level without giving away answers, supporting deeper understanding and independent thinking.\r\n\r\nFor schools and districts, Flint provides robust AI guardrails, including customizable moderation, grade-level controls, and full transparency into student usage, ensuring safe and responsible AI adoption.", "one_liner": "Personalized learning built for schools", "team_size": 18, "industry": "Education", "subindustry": "Education", "launched_at": 1686701426, "tags": [ "Education", "Generative AI", "Edtech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Education" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/flint-2", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/flint-2.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/flintk12/", "x_url": "https://twitter.com/FlintK12_", "fb_url": "https://www.facebook.com/flintk12", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d1d23e86e87d65a7410c416cf73e10dd2adf94c8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a57056e6b8c5f18c281f4da9cd06174291d18137.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 431287, "full_name": "Sohan Choudhury", "title": "Founder", "founder_bio": "Helping K-12 embrace AI.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sohan-choudhury", "x_url": "https://twitter.com/hungrysohan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b0b531fd03785a4bd6ff6d3870e2e218df1e64ef.jpg" }, { "user_id": 1204797, "full_name": "Jinseo Park", "title": "Founder", "founder_bio": "-", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jinseo-park/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/88cb227505c2eedf841f53ddb73016a07338ce76.jpg" } ], "jobs": [ { "id": 112017, "title": "Account Associate", "url": "https://www.ycombinator.com/companies/flint-2/jobs/3k5Jg7v-account-associate", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$85K - $125K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 72380, "title": "Flint: Copilot for K-12 teachers 🪨💥🔥", "tagline": "Flint saves teachers 10+ hours per week in creating and differentiating classroom content", "body": "**TLDR:** Flint lets teachers create classroom activities, worksheets, quizzes, and handouts in seconds with AI. **Share Flint with a teacher in your life to save them 10+ hours week**: [**http://flintk12.com/**](http://flintk12.com/)\n\nTeachers are increasingly overworked and ridiculously underserved. Flint aims to change that by creating AI tools built from the ground up with one goal in mind: helping teachers ([demo video](https://vimeo.com/834900487)).\n\nWith Flint, K-12 teachers can…\n\n![uploaded image](/media/?type=post&id=72380&key=user_uploads/431287/58a14868-a9b2-4c96-a4e0-f8633d266248)\n\ncreate content in seconds,\n\n![uploaded image](/media/?type=post&id=72380&key=user_uploads/431287/c40f69f3-0ad3-463e-aeba-d4ede6a76534)\n\ndifferentiate to student needs,\n\n![uploaded image](/media/?type=post&id=72380&key=user_uploads/431287/18a65df6-f8e3-48b8-aefb-32cba0b2702f)\n\nand align to curriculum standards.\n\n![uploaded image](/media/?type=post&id=72380&key=user_uploads/431287/470b474f-2c30-4907-8cf0-bee06981ddba)\n\nAll supercharged with AI.\n\n![uploaded image](/media/?type=post&id=72380&key=user_uploads/431287/0ceaa0ca-9730-4bc9-ab53-09f764a123d0)\n\nWe’re Jinseo (left) and Sohan (right). We previously built a startup in the video chat space during the pandemic, and are now excited to be working with K-12 teachers!\n\n**Our ask — share Flint with a teacher that you know!** Send them our website () or intro us via email ([sohan@flintk12.com](mailto:sohan@flintk12.com)). _Our only goal is to create a product that teachers love!_\n\nAnd, if you’re feeling generous, follow our journey on [Twitter](https://twitter.com/flintk12_) and [LinkedIn](https://www.linkedin.com/company/flintk12/) ❤️", "url": "https://www.ycombinator.com/launches/IpQ-flint-copilot-for-k-12-teachers", "votes": 84, "created_at": "2023-06-20T06:34:15.874Z" } ] }, { "id": 28983, "name": "Converge", "slug": "converge", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ddaa5bebf2aae550b90599e16a46dc1f877c755.png", "website": "http://www.runconverge.com", "all_locations": "New York City, NY, USA", "long_description": "We're building the unified marketing measurement stack for online stores. We make it easy for marketeers to understand where their customers come from, cut unprofitable channels, and scale when things are working.\r\n\r\nWe are vertically integrating the modern data stack for marketing teams of online stores by consolidating customer data collection, consent management, identity resolution, transformations, attribution, data forwarding, and analytics into a single platform.", "one_liner": "All-in-one marketing measurement for B2C", "team_size": 11, "industry": "B2B", "subindustry": "B2B", "launched_at": 1687127368, "tags": [ "SaaS", "Analytics", "E-commerce", "Marketing", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/converge", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/converge.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/81685997/", "x_url": "https://twitter.com/runconverge", "fb_url": null, "cb_url": null, "github_url": "https://github.com/run-converge", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ddaa5bebf2aae550b90599e16a46dc1f877c755.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 559019, "full_name": "Jan-Henrik Lambrechts", "title": "Founder", "founder_bio": "co-founder and ceo @Converge -- worked on ml vision models @TsinghuaU before that", "is_active": true, "linkedin_url": "https://linkedin.com/in/janhenrik-lambrechts", "x_url": "https://twitter.com/janhenriklamb", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef7a2e2909a4692230ff50a73fb74c4526156c45.jpg" }, { "user_id": 772323, "full_name": "Jerome Billiet", "title": "Founder", "founder_bio": "Co-founder at Converge - studied finance at London Business School before.", "is_active": true, "linkedin_url": "https://linkedin.com/in/j%C3%A9r%C3%B4mebilliet", "x_url": "https://twitter.com/BillietJerome", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5e225291757e7b22b72f9ae5b8c186eb23fe0d4c.jpg" }, { "user_id": 772314, "full_name": "Thomas Holvoet", "title": "Founder", "founder_bio": "Studied CS in Ghent (Belgium), went on to drop out of the data science masters at Columbia to start Converge", "is_active": true, "linkedin_url": "https://linkedin.com/in/thomas-holvoet", "x_url": "https://twitter.com/thomas_holvoet", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/414b694acb50a5deca033ab387a6e0d2868c48a0.jpg" } ], "jobs": [ { "id": 79269, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/converge/jobs/lQamnCz-account-executive", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$160K - $200K", "equity_range": "0.15% - 0.35%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 89633, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/converge/jobs/rCwUC9I-product-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $240K", "equity_range": "0.50% - 0.85%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "MarTech startup Converge raises $5.6M", "url": "https://www.axios.com/pro/media-deals/2025/02/06/exclusive-martech-startup-converge-raises-56m", "date": "Feb 06, 2025" } ], "launches": [ { "id": 72382, "title": "Converge - Segment for ecommerce", "tagline": "We help online stores improve ad performance and attribution accuracy through better tracking.", "body": "**TL;DR:** [**Converge**](https://www.runconverge.com?utm_source=yc&utm_medium=organic&utm_campaign=launch-yc) auto-tracks and forwards ecommerce customer events like Add To Cart and Purchase to analytics and ad platforms for accurate attribution and better ad performance.\n\n### **Problem: Tracking for ecommerce is broken**\n\nCorrect attribution and conversion tracking is at the core of every ecommerce business.\n\nHowever, tracking setups suffer from..\n\n* **Missing** **data**: Stores miss on avg. \\~10-30% of conversions due to limitations of browser tracking (e.g. ad-blockers) resulting in _broken attribution data and wasted ad budget._\n* **Poor observability:** Popular tools like Google Tag Manager provide no way to check whether tracking is still working, resulting in _costly bugs that remain undiscovered._\n* **Cluttered configurations:** Operators often loose grip on their tracking setup after years of uncoordinated updates, resulting in a clutter of pixels, tags, and first-party integrations across multiple platforms.\n* **Lack of developers:** Many ecommerce teams don't have in-house devs, making it infeasible for them to integrate with existing CDP tools such as Segment.\n\n## **Solution: Accurate auto-tracking**\n\nConverge tracks all important events automatically – across the browser, store backend and subscription platforms. No technical expertise required.\n\nBecause conversions are being tracked on the store backend rather than the browser, Converge can track 100% of conversions and forward these to relevant ad platforms and analytics tools.\n\nUnlike Segment or other CDPs, Converge allows non-technical ecommerce operators to set this tracking up in minutes.\n\n![uploaded image](/media/?type=post&id=72382&key=user_uploads/772323/7f38e933-f6ce-489f-abf6-cd11149e83d1)\n\nOnce tracking is set up, Converge aggregates data from all sources and provides a single overview of ecommerce KPIs.\n\n![uploaded image](/media/?type=post&id=72382&key=user_uploads/772323/5eb15873-3ea8-4e32-8e96-2efa057df4d7)\n\nUsers can also break down attribution metrics across channels, campaigns, adsets, and even ads, showing what is driving growth on a granular level.\n\n![uploaded image](/media/?type=post&id=72382&key=user_uploads/772323/eb78601f-2d1a-4a75-a35b-f5e7db168d3f)\n\n## **Our ask**\n\n* Sign up for [**Converge**](https://www.runconverge.com?utm_source=yc&utm_medium=organic&utm_campaign=launch-yc) today and test it for free!\n* If you know any **ecommerce brands or agencies**, we would love to chat!", "url": "https://www.ycombinator.com/launches/IpS-converge-segment-for-ecommerce", "votes": 24, "created_at": "2023-06-20T14:03:45.650Z" } ] }, { "id": 28991, "name": "Inlet", "slug": "inlet-2", "former_names": [ "Switchboard", "Inlet AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/947ea79d41ed24389e0a80ad75da05f02c0c5dd7.png", "website": "https://inletai.com", "all_locations": "New York City, NY, USA", "long_description": "Attorneys at small- and medium-sized law firms juggle dozens of matters, context-switching throughout the day – and often failing to record their billable time for every task they worked on.\r\n\r\nInlet records these tasks automatically – eliminating painful admin time and increasing their revenue.", "one_liner": "AI timekeeping for legal professionals.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1687479544, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Legal" ], "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/inlet-2", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/inlet-2.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/inletai", "x_url": "https://twitter.com/inlet_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/947ea79d41ed24389e0a80ad75da05f02c0c5dd7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1344901, "full_name": "Sean Adler", "title": "Founder", "founder_bio": "Sean is co-founder and CEO of Inlet. 10+ years writing code and building AI products at startups. Previously at AKASA (Head of NLP) and ASAPP (ML Engineer).", "is_active": true, "linkedin_url": "https://linkedin.com/in/sean-adler-b5872446", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5890f351a075303f2fa291f3c938ae1b13d70b1d.jpg" }, { "user_id": 968369, "full_name": "Adam Miller", "title": "Founder", "founder_bio": "Co-founder and CTO of Inlet. Previously lead product and machine learning teams at Gridspace, where we built best-in-class voicebots to automate complex contact center workflows. Now building Inlet. Would love to talk, just reach out!", "is_active": true, "linkedin_url": "https://linkedin.com/in/adam-miller-14940631", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53df97d189df46d2c3c7730b53350f96c0b2940a.jpg" } ], "jobs": [ { "id": 94295, "title": "Founding SDR", "url": "https://www.ycombinator.com/companies/inlet-2/jobs/MVGBAUc-founding-sdr", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$65K - $80K", "equity_range": "0.01% - 0.30%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 99324, "title": "Founding Customer Success Manager", "url": "https://www.ycombinator.com/companies/inlet-2/jobs/37msxHL-founding-customer-success-manager", "location": "US / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$75K - $140K", "equity_range": "0.02% - 0.10%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 111592, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/inlet-2/jobs/5vq9L5e-founding-engineer", "location": "San Diego, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $220K", "equity_range": "0.20% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 28992, "name": "Rankai", "slug": "rankai", "former_names": [ "LineUp" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/32ccd0a8e163e6c0cf404e4f9c6202d57317315c.png", "website": "https://rankai.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Websites used to be static billboards, passive and waiting to be found.

\r\n\r\nRankAI helps startups and agencies grow websites on autopilot. It learns from your site, market, competitors, and performance data to identify which pages should exist, creates them in your brand, publishes them directly to your live website, and continuously improves them based on real traffic and conversion — so your website gets discovered, trusted, and converted on by both human and Agents.
", "one_liner": "RankAI grows your website on autopilot", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1731442233, "tags": [ "SaaS", "B2B", "Marketing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rankai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/rankai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rankai", "x_url": "https://x.com/rankai_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/32ccd0a8e163e6c0cf404e4f9c6202d57317315c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 804786, "full_name": "Dyllan Liu", "title": "Founder", "founder_bio": "Co-Founder and CEO of Rankai.\n\nPreviously: Ex-McKinsey, Engineering @ Amazon, ML Research @ Stanford, Business & Data Science @ Berkeley, Online education platform serving 20 schools and 1500+ rural students", "is_active": false, "linkedin_url": "https://linkedin.com/in/dyll", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d1d0ff5b3b18acf42fe3563f250fcb659aef3cf8.jpg" }, { "user_id": 1377341, "full_name": "Hugo (Kanghong) Zhan", "title": "Founder/CTO", "founder_bio": "Co-Founder and CTO @ Rankai.\nPreviously: Engineering @ Amazon, National Junior Math Olympiad team, 74th nationally ranked table tennis player (U15), CS at UC Berkeley.", "is_active": true, "linkedin_url": "https://linkedin.com/in/hugo-z-21197a122", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1564f6555a1d3cf856793de4d7523c4329ea92db.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85538, "title": "Rankai – AI Agents that Replace Marketing Agencies", "tagline": "Building AI Agents to replace marketing agencies", "body": "**_TL;DR:_** Rankai is building AI Agents to replace marketing agencies. Its 1st agent automates the entire SEO process and makes it 20x more affordable.\n\n\n\n# **What’s the insight?**\n\nMarketing agencies grew and made $400B in 2024, despite the rise of affordable marketing tools. We talked to 100+ SMB owners, and found that many would still pay thousands for marketing agencies. They want to pay for a service – for someone to think about what to do, then just execute and deliver results. \n\n# **What did we build?**\n\nRankai is building AI Agents to strategize and execute on marketing objectives, just like an agency. It’s first AI Agent automates the SEO process and makes it 20x more affordable.\n\nHow it works:\n\nStep 1: Crawl through your website pages and understand your business.\n\nStep 2: Suggest technical SEO fixes based on Google SEO Guide.\n\n![uploaded image](/media/?type=post&id=85538&key=user_uploads/804786/38787d8a-f2b6-4192-a390-978a58725a1e)\n\nStep 3: Research for target keywords tailored to the business.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfvDlVknS_1BOO7TT6rVukxlz7ROXbt8sg9mLlsqMfsV8HLNjiq-JQUS43zNtq1_98fFFygSLSg83emG0O55j8afS0CegUWoP1N2xHwxkAvaiqDxuCKmvwE9QVKISbciRQFVd0jzw?key=_60rhAaWD9CT0jrsgoEW3IYz)\n\nStep 4: Craft keyword-optimized SEO content.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeLgTVPuUR6tTMOOeGGqoUsueqcHs_RtCr_cPyHDG4MriprwfgzlzAeCm_v5WVNkJfSXLoOoiUAlaM9fYUmvH4CrVXyJMll_LTFmhO2KcdL00vswJK5VUCnQPK0i40YjIUVIXPTCA?key=_60rhAaWD9CT0jrsgoEW3IYz)\n\nStep 5: Finally, Rankai publish the technical SEO fixes and weekly blogs straight to your website.\n\n# **The Team**\n\n[Boyuan](https://www.linkedin.com/in/boyuan-deng/): Built and scaled FlowGPT from 0 to 4M users via SEO & organic traffic, EECS at UC Berkeley\n\n[Hugo](https://www.linkedin.com/in/hugo-z-21197a122/): Engineering at Amazon, National Junior Math Olympiad Team, Blockchain Dev at Eluvio, Research at BAIR, Math & CS at UC Berkeley\n\n[Dyllan](https://www.linkedin.com/in/dyll/): Ex-McKinsey, Engineering at Amazon, Built an education platform serving 1500+ rural students, Business & DS at UC Berkeley\n\n# **Our Ask (and Offer)**\n\nTry it yourself: [rankai.ai](http://rankai.ai)\n\nDemo/SEO Strategy Session: [Book here](https://calendly.com/rankai/rankai-ai-demo)\n\nIntro: Any SMBs that aren’t SEO-optimized for organic traffic (Ecommerce owners, startups, agencies, local businesses, freelancers, etc.)\\\n\\\nEmails: [dyllan@rankai.ai](mailto:dyllan@rankai.ai) and [hugo@rankai.ai](mailto:hugo@rankai.ai)", "url": "https://www.ycombinator.com/launches/MFe-rankai-ai-agents-that-replace-marketing-agencies", "votes": 238, "created_at": "2024-11-13T21:43:46.169Z" } ] }, { "id": 28994, "name": "Vango AI", "slug": "vango-ai", "former_names": [ "vango (like Vincent “Van Gogh” ☺️)", "Vango AI", "Vango", "Vango AI", "vango ai", "Vango AI", "Vango" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/81c4b7cfa70455fe6fc21054b703c4fd719269b2.png", "website": "https://vango.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We built Vango excited by the future where generative visual AI models like stable diffusion dramatically reduce the barrier to create content. While spending 8 months building products for creatives, we found ourselves building hacky tools to address many of frustrations we had with visual AI. \r\n\r\nSo we decided to build the devtool we needed: Vango is a flexible evaluation platform that makes it 10x improve visual models. Developers using visual AI models at scale use Vango to learn quantitative ways to improve their model, saving them ~10 hours per week. \r\n\r\nMajor companies building visual products have already begun integrating diffusion models, including Adobe, Disney, Activision Blizzard, Canva, and Snap. By 2025, it is estimated that 1 billion images per day will be AI-generated. ", "one_liner": "Development platform that makes it 10x easier to improve visual models", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1692068150, "tags": [ "Developer Tools", "Generative AI", "Design", "Gaming", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vango-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/vango-ai.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://twitter.com/vango_ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/vangoai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/81c4b7cfa70455fe6fc21054b703c4fd719269b2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/60c372889dcb9b710b5ae04465f07a2824210310.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 887154, "full_name": "Eshaan Moorjani", "title": "Founder", "founder_bio": "Berkeley CS", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/eshaan-moorjani", "x_url": "https://twitter.com/eshaan_moorjani", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/260a03ad08f37a350a96f0a1b7fe7fac230a6bdd.jpg" }, { "user_id": 1255237, "full_name": "Rajen Dey", "title": "Founder", "founder_bio": "Founder at vango.ai", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/rajen-dey-2796941b3/", "x_url": "https://twitter.com/Vijnej", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d2630551cbb97b556d0ccbae6aa7a1cc0e11da0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 74170, "title": "Vango 🎨 - Build with + evaluate Stable Diffusion fast", "tagline": "Try Vango, the fastest way to build and analyze diffusion models! ", "body": "**tl;dr:** _Vango makes it 10x easier to build and evaluate Stable Diffusion workflows in your app. Developers use Vango to deploy Stable Diffusion in minutes and achieve high-quality images faster than any existing solution._\n\n_Hello world_ — Eshaan and Rajen here!\n\n![uploaded image](/media/?type=post&id=74170&key=user_uploads/887154/c555fc75-23e2-4ba7-9384-8d74b8378765)\n\nWe’re thrilled to show y’all what we’ve been working on, let’s begin!\n\n### 🐷 Problem:\n\nWe’ve all seen how unique, highly customizable, and beautiful AI art can be — **but it’s incredibly tedious to deploy and maintain Stable Diffusion in your app.**\n\nBuilding apps on top of stable diffusion is an unnecessarily tedious and manual process. You have to:\n\n* **Select the right models, hyperparameters, and prompts:** These have huge impact on the content, quality, and style of outputs. To achieve the best results, developers spend hours testing each model, parameter, or prompt individually.\n* **Add guardrails:** Ensuring that your model does not generate unintended NSFW or discriminatory images takes hours of careful testing.\n* **Deploy on GPUs:** Like everything in AI right now, developers must obtain and configure a juicy high-VRAM GPU to run Stable Diffusion fast.\n\n  \n\n### **💜 Solution:**\n\n**Vango empowers developers to build and evaluate stable diffusion models faster than ever.**\n\n## 🧱 Build workflows & deploy as API\n\nWatch us build a corgi generator and deploy it as a scalable API in seconds.\n\n![uploaded image](/media/?type=post&id=74170&key=user_uploads/887154/36fc2f9f-0d81-4e81-aeca-f849103d2652)\n\n## 🤖 Perfect the hyper-parameters\n\n**Vango helps you evaluate models quantitatively.** Vango will track metrics across thousands of prompts — including NSFW content, crossed eyes, disfigured limbs/fingers, cropped faces, and prompt alignment.\n\n1. Specify your models (either as `.safetensors` or `.ckpt` file, Cog container, API endpoint, or Vango workflow)\n2. Provide us your prompts or _use one of our prompt datasets with thousands of examples_.\n3. Use our quantitative features to learn how models compare\n\n![uploaded image](/media/?type=post&id=74170&key=user_uploads/887154/dcd39f7d-6900-4402-91d7-8fc530ca3b0e)\n\nAnd for more granular analysis, you can filter all the images based on failure modes. In the video below, you can see us finding the images that have deformed hands.\n\n![uploaded image](/media/?type=post&id=74170&key=user_uploads/887154/6c83e176-d63b-4e23-8cbc-a5cac60bfb2f)\n\n### 🐻 About us:\n\nWe’re best friends, neighbors back home in Maryland, and college roommates (and literally sharing a triple in SF right now)! We’ve been doing class projects + side projects together for over 3 years now 🙉.\n\nEshaan has researched multimodal models at Berkeley AI Research (BAIR), low-compute visual detection systems at NASA JPL, and anomaly detection at Citadel Securities. And Rajen has built wide-ranging software at Amazon, Nuro, Two Sigma, and Solana.\n\nAnd we both graduated from UC Berkeley a year early to work on Vango! We discovered this problem while developing our own diffusion apps after noticing first-hand how AI can help creatives in VFX.\n\n### 📩 Asks:\n\nIf you are (or know anybody that is) building apps with stable diffusion, we’d love to chat and see how we can help! We’re currently onboarding our early partners.\n\nIf you’re interested, sign up for our waitlist [here](https://forms.gle/ExYEf2HTeNBWJfa19) or shoot us an email at [founders@vango.ai](mailto:founders@vango.ai).", "url": "https://www.ycombinator.com/launches/JII-vango-build-with-evaluate-stable-diffusion-fast", "votes": 33, "created_at": "2023-08-16T21:38:41.929Z" } ] }, { "id": 28996, "name": "Sola", "slug": "sola", "former_names": [ "AdMagic" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0ab41e90328883754ecff618e23fa11d9632ee43.png", "website": "https://www.sola-solutions.com/", "all_locations": "New York City, NY, USA", "long_description": "Sola is copilot for workflow automation. \r\n\r\nWe help automation-minded teams build robust robotic agents to handle tedious tasks via LLMs and computer vision, smoothly integrated into their standard workflow. \r\n\r\nOur tooling makes it easy for companies to automate data entry/scraping in manual filing and processing flows. Go from a screen recording to a bot in any desktop or browser workflow; develop logic and watch logic self-develop in the face of new events!", "one_liner": "Copilot for Robotic Process Automation", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1690480911, "tags": [ "Robotic Process Automation", "Workflow Automation", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sola", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sola.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/98128293/", "x_url": "https://twitter.com/Sola_Solutions", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0ab41e90328883754ecff618e23fa11d9632ee43.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": 1317145, "full_name": "Jessica Wu", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://linkedin.com/in/jessica-wu-9824431ab", "x_url": "https://twitter.com/jess123555", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/48d7a2d5cdcfcaa80fe92e70128a64d150ff6f6d.jpg" }, { "user_id": 787351, "full_name": "Neil Deshmukh", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://linkedin.com/in/neildeshmukh", "x_url": "https://twitter.com/NeilDeshmukh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/da3fc432de1d9b29f157266ba4b97c8cd6fa5738.jpg" } ], "jobs": [], "news": [ { "title": "Sola Solutions raises $21 million for enterprise AI | Fortune", "url": "https://fortune.com/2025/08/14/sola-solutions-ai-startup-raised-21-million-andreessen-sarah-guo/", "date": "Aug 14, 2025" } ], "launches": [ { "id": 73648, "title": "🤖 Sola - Build AI agents in copilot", "tagline": "Meet Sola, your co-pilot for Robotic Process Automation!", "body": "**tl;dr:** _Sola is copilot for Robotic Process Automation. We help automation-minded teams visually script bots that emulate human behavior to automate data entry, scraping, and filing flows using LLMs and computer vision._\n\nHey everyone! We’re Jess and Neil, the founders of Sola.\n\n![uploaded image](/media/?type=post&id=73648&key=user_uploads/1317145/8edcf728-fa9a-4c2d-be38-a425e3a3a809)\n\nConsider a scenario: A manual, repetitive workflow demands that you extract information from a customer ticket, use this to lodge a legal application within their respective state, and then retain and store the resulting confirmation details.\n\nDeveloping engineering solutions for such workflow automation often brings unexpected overhead:\n\n* Engineers must map all error paths before deployment, often necessitating weeks or even months of rigorous testing, with frequent reengineering required as elements evolve — _what happens when the government filing sites crash or change?_\n* Continued investment in monitoring is crucial to maintain a working solution.\n* Increasingly tight security measures in browser and desktop applications make request-based automation increasingly challenging.\n\nConsidering these challenges in our scenario of building out the state-specific application processes, it makes more sense to automate from a _client-side perspective_.\n\nHowever, existing process automation solutions are reliant on integrations, non-generalizable, not self-healing, and often tough to use…\n\n### The Solution 🦾\n\nNow, **imagine going from a screen recording to a process-automating bot in seconds!** Sola RPA can do exactly this, empowering a future where data entry, scraping, and filing tasks are no longer a hassle, but handled efficiently by agents and citizen developers. Structured as a co-pilot tool, Sola bots are seamlessly integrated into the existing workflow, learning new branches and behavior automatically!\n\nWith the above scenario, internal tooling teams are able to now immediately deploy bots for each state-specific filing workflow, where the bot learns automatically from the human stepping in as it runs into errors.\n\nUsing state-of-the-art AI and computer vision, our tooling makes it easy for companies to automate data entry/scraping in legal, financial, and healthcare flows. We’ve built our tool with intuitive usability at its core, allowing users to **visually script** bots in a Figma-esque workflow that can extrapolate to new data (think Excel macros, but generalized)!\n\n![uploaded image](/media/?type=post&id=73648&key=user_uploads/1317145/64327f3b-dab9-4b3f-b7fb-96a9e44e4fcc)\n\nCheck out some of our case studies! For example,\n\n* We help an SMB unicorn [deploy bots for legal incorporation flows](https://www.sola-solutions.com/product/legal-filing) in each state.\n* We help a hedge fund [automate account interactions in desktop financial software](https://www.sola-solutions.com/product/desktop), where there’s no API to interface with, and [schedule scraping of unstructured data](https://www.sola-solutions.com/product/knowledge-extraction) to track expirations of securities.\n* We work with a scaling neobank to [scrape information on legacy financial government portals](https://www.sola-solutions.com/product/scraping-systems) for loan assessments from databases.\n\n![uploaded image](/media/?type=post&id=73648&key=user_uploads/1317145/b3692f9c-19bc-4256-87fd-f7cc0c4b9cab)\n\n### The Team\n\nJess and Neil have been best friends since their freshman year at MIT, and have worked together a ton even before Sola.\n\nNeil has researched CV and LLMs while studying CS at MIT (at the MIT-IBM Watson + Quest for Intelligence Labs) focusing on multimodal RL models, and built out ML at startups in areas including computational biology, fraud detection, healthcare, and agriculture.\n\nJess has studied math and CS at MIT, most recently having spent her time working in finance (at Citadel Securities, Goldentree AM, Thrive Capital, and some other hedge funds), and she’s also worked on startups in med-tech, fashion, and crypto, doing a mix of design work and engineering.\n\nDrawing from their wealth of experience in AI research, engineering, and design, as well as first-hand frustration with repetitive workflows in finance and healthcare, they’re on a mission to tackle the challenge of solving tedious flows in an intuitive way!\n\n### The Ask\n\nWe’d love to help automate your workflows!\n\nIf you’re a company thinking about robotic process automation or manual outsourcing as you scale, reach out to [founders@sola-solutions.com](mailto:founders@sola-solutions.com) and we’d love to chat about working together, as we onboard a limited number of design partners early on! :)", "url": "https://www.ycombinator.com/launches/J9s-sola-build-ai-agents-in-copilot", "votes": 691, "created_at": "2023-08-01T15:57:28.435Z" } ] }, { "id": 28997, "name": "Read Bean", "slug": "read-bean", "former_names": [ "Refond", "Glace", "Glaze" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2edb78c6c7dfbdc3b8cbd1632fcf94f82d5bf32d.png", "website": "https://readbean.app/", "all_locations": "New York City, NY, USA", "long_description": "Read Bean helps intermediate-advanced language learners and heritage speakers improve their literacy using real-world content. The app measures your initial reading level and automatically transforms texts into bite-sized lessons at your level. It adapts to your progress, reinforcing vocabulary and tailoring content to ensure continuous improvement.", "one_liner": "Learn language with real-world content, at your level", "team_size": 3, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1690861323, "tags": [ "AI-Enhanced Learning", "Education", "eLearning" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Consumer" ], "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/read-bean", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/read-bean.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/read-bean", "x_url": "https://x.com/readbeanAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2edb78c6c7dfbdc3b8cbd1632fcf94f82d5bf32d.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": 517053, "full_name": "Maggie Zhang", "title": "Founder", "founder_bio": "CEO at Read Bean. Studied CS @ MIT and previously bootstrapped an e-comm business to 200k followers, quant traded at virtu, built software at bloomberg, and was in management consulting at bain. \n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/maggiezhang84", "x_url": "https://twitter.com/maggieqzhang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d3555cec5732ad76fcc4fc7f589cf2fd9f53df80.jpg" }, { "user_id": 1383254, "full_name": "Savannah Liu", "title": "Founder", "founder_bio": "COO at Read Bean. Built a payment pipeline at Amazon that did $2B in TPV and made a security layer at Flatiron health.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/savannahliu28/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1afecf11c4fe40db55ffd4acece52a53b16c8e60.jpg" } ], "jobs": [], "news": [ { "title": "Here are the fashion problems AI can solve, according to investors | Vogue Business", "url": "https://www.voguebusiness.com/story/technology/here-are-the-fashion-problems-ai-can-solve-according-to-investors?", "date": "Mar 19, 2024" } ], "launches": [ { "id": 73733, "title": "🛍 Glaze - What would Barbie and Ken wear to an investor meeting?", "tagline": "AI shopping platform for premium fashion brands", "body": "### **TL;DR**\n\n[Glaze](https://useglaze.com) is the easiest and most fun shopping experience powered by AI. Instead of needing to know exactly what you want when shopping, you can find relevant and cool items from queries like “[simple and elegant dinner party outfit](https://www.useglaze.com/search?query=simple%20and%20elegant%20dinner%20party%20outfit)” and “[what would Barbie and Ken wear to an investor meeting](https://www.useglaze.com/search?query=what%20would%20barbie%20and%20ken%20wear%20to%20an%20investor%20meeting)”. We are 3 MIT founders who love fashion as much as we love coding. \n\n### **The Problem**\n\nWho knew spending money on clothes could be so full of friction and painful —\n\nyou are looking for a pair of linen pants, \n\nyou go on google shopping or an aggregator like Nordstrom, \n\nyou get literally 1000s of listings fed to you, \n\nyou go down the listings, 95% of which are pure noise and only 5% are actually interesting, \n\nyou couldn’t quite decide on anything, yet wasted 2 painful hours in the process. \n\n# **Glaze**\n\n### [**useglaze.com**](https://www.useglaze.com/)\n\n![uploaded image](/media/?type=post&id=73733&key=user_uploads/1371943/1b54d204-385e-4626-b268-4e94faed94cb)\n\n[Glaze](https://useglaze.com) makes finding clothes from trending, unique, high-quality brands easier and more fun. \n\nSearch anything — _we mean anything_ — to shop products from accurate search results powered by our AI. \n\nSome past queries from our real users\n\n* “[Y Combinator broke startup founder](https://www.useglaze.com/search?query=y%20combinator%20broke%20startup%20founder)”\n* “[lit san francisco black sweater](https://www.useglaze.com/search?query=lit%20san%20francisco%20black%20sweater)”\n* “[I'm Luke Skywalker](https://www.useglaze.com/search?query=im%20luke%20skywalker)”\n* “[I like techno](https://www.useglaze.com/search?query=I%20like%20techno)”\n* “[Male guest at a wedding in Italy this summer](https://www.useglaze.com/mens/search?query=Male%20guest%20at%20a%20wedding%20in%20Italy%20this%20summer)”\n* “[Comfortable, hip, and classy clothes for 40 years old](https://www.useglaze.com/search?query=Comfortable,%20hip,%20and%20classy%20clothes%20for%2040%20year%20old)”\n\n# **Our Team**\n\nWe became best friends while studying computer science at MIT. We’ve had many adventures together but our favorite was running campus-wide clothing pop-ups our senior year. We sold over 1000 pieces of clothes in <24 hrs and built a clothing reselling app for students.\n\nNow wanting to use AI to shape the future of online shopping, we’re building [Glaze](https://www.useglaze.com/) together.\n\n![uploaded image](/media/?type=post&id=73733&key=user_uploads/1371943/572d11e3-6d03-45bb-8b48-0bfed801b608)\n\n_the team from left to right_\n\n[Savannah](https://www.linkedin.com/in/savannah-liu-291674197/): Built the refund payment pipeline at Amazon Advertising that handles $1.7B cash volume annually. Fun fact, she is also a fashion/lifestyle influencer with 100k+ followers. \n\n[Maggie](https://www.linkedin.com/in/maggiezhang84/): Wide range of industry experiences ranging from Bain to Bloomberg. She had a side hustle building her own slime e-commerce business, growing it to 200k+ Instagram followers. \n\n[Pearl](https://www.linkedin.com/in/pearlli98/): The ML goddess of the team. She optimized LLM training for an open-source chatbot at FAIR (Facebook AI Research) and built an ML pipeline for mobile game LTV prediction at Assetario. \n\n# **The Ask**\n\n* Try [useglaze.com](http://useglaze.com)\n* Share with friends and family \n* Give us feedback and schedule a shopping session with us at \n* Request more [brands](https://docs.google.com/forms/d/e/1FAIpQLSeBbv9SS_R6GKY-YxjFNy0pIdt3gp9kGgISglgW7jnSs7MzVQ/viewform)\n* If you have any connections to clothing brands, we would love to connect.\n\nWe hope you all have fun! Feel free to reach out to [founders@runglaze.com](mailto:founders@runglaze.com) anytime!", "url": "https://www.ycombinator.com/launches/JBF-glaze-what-would-barbie-and-ken-wear-to-an-investor-meeting", "votes": 339, "created_at": "2023-08-02T19:59:41.139Z" } ] }, { "id": 28998, "name": "Automorphic", "slug": "automorphic", "former_names": [ "Sibyl" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6632890863ba8f97b3c98f84ce71158a24887e9a.png", "website": "https://automorphic.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Automorphic has invented a way to infuse knowledge into LLMs via fine-tuning (surpassing context window limitations), enabling developers to rapidly iterate on and successively improve custom models cheaply and efficiently.", "one_liner": "Infuse knowledge into language models with just 10 samples", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1691588844, "tags": [ "AIOps", "Deep Learning", "Developer Tools", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/automorphic", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/automorphic.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/automorphic", "x_url": "https://twitter.com/AutomorphicAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/automorphic-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6632890863ba8f97b3c98f84ce71158a24887e9a.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": 1146368, "full_name": "Govind Gnanakumar", "title": "Founder", "founder_bio": "Often running away from robots (that I created). Building the next generation of artifical narrow intelligence.", "is_active": true, "linkedin_url": "https://linkedin.com/in/govind-gnanakumar", "x_url": "https://twitter.com/sandkoan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2f073adeb6c9ba6591e097d17f81f051d0ae71ff.jpg" }, { "user_id": 1381983, "full_name": "Maaher Gandhi", "title": "Founder", "founder_bio": "When not working on Automorphic, I'm building AI to beat me at chess", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maaher-gandhi-31b40928b", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/38c64b0f499364e92826147408ed30c847ad9260.jpg" }, { "user_id": 1160097, "full_name": "Mahesh Natamai", "title": "Founder", "founder_bio": "Building AI agents that can remember and self-improve like we can at Automorphic.", "is_active": true, "linkedin_url": "https://linkedin.com/in/mahesh-natamai-b17683188", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c7ac55ddb274bbc274308cc40cf70b18aa906241.jpg" } ], "jobs": [], "news": [ { "title": "Computer Science Was Too Slow, so I Dropped Out to Focus on My AI Startup", "url": "https://www.businessinsider.com/computer-science-major-dropped-out-georgia-tech-build-ai-startup-2023-9", "date": "Sep 24, 2023" } ], "launches": [ { "id": 74582, "title": "Automorphic: Infuse knowledge into language models with just 10 samples", "tagline": "Rapidly build and improve custom LLMs", "body": "**TL;DR** - [Automorphic](https://automorphic.ai) enables developers to rapidly build and improve custom fine-tuned models. Using our LLM improvement platform, you can turn raw data into a secure, production-ready, self-improving LLM in minutes.\n\n—\n\nHey everyone! We’re Govind, Maaher, and Mahesh, from Automorphic. After experiencing the challenges of fine-tuning and refining language model systems, we’re on a mission to build an interactive LLM improvement platform that turns a tedious process into an addictive one.\n\n![uploaded image](/media/?type=post&id=74582&key=user_uploads/1381983/14e3e547-96a5-4a74-91b1-3ad11af28680)\n\n### **❌ The Problem:**\n\nIt takes engineers at companies like Google and Meta 12 to 18 months to take a model from research to production – and this isn’t because they run one tuning job and call it a day.\n\nThey apply a series of successive improvements that may start by supervised fine-tuning, then aligning to human preferences, then distillation and pruning unnecessary weights, and then once it’s met a certain quality threshold, they don’t just say it’s good enough. They continuously improve it with RLHF, periodic re-tunings to control for data drift, and so on.\n\nUnfortunately, such an elaborate process is unrealistic for most companies—they can’t wait a year to get a custom LLM to production even if they have the engineering talent.\n\n### **⭐️ Our Solution**:\n\nAutomorphic makes it easy for developers to continuously improve their custom LLMs.\n\n1. Upload your raw text data\n2. Start an initial fine-tuning run with your data, and continue to fine-tune as needed\n\n ![uploaded image](/media/?type=post&id=74582&key=user_uploads/1381983/00398557-fca1-471a-9483-b5b75e506f0f)\n\n3. One line switch from the OpenAI API endpoint to ours\n4. Try inference on your model and improve it using RLHF\n\n ![uploaded image](/media/?type=post&id=74582&key=user_uploads/1381983/cc6a2fe8-2b30-4a72-ada2-eeb960f6afc2)\n\n5. Use additional data to train adapters and combine and commute them however you want\n6. Publish your custom models to the [hub](https://automorphic.ai/hub), and try out existing models there\n\n ![uploaded image](/media/?type=post&id=74582&key=user_uploads/1381983/fc5a26f7-f7aa-4984-bb8f-1e1fc8db427b)\n\n\nYou own the model weights, so you can train and run inference in your own cloud if you’d like.\n\n# **🙌** Our Ask:\n\nSign up for our [platform](https://automorphic.ai/signup) and train your first three models for free! We’d love feedback on how we can make your language model improvement experience better.\n\nIf there’s someone in your network like an ML engineer who works with LLMs, or folks looking to replace OpenAI / implement custom LLMs, we’d love to chat with them.\n\nHere’s a short blurb you can send them:\n\n> Automorphic, a YC-backed startup, enables developers to go from raw data to a continuously improving custom language model usable in production in minutes. They’d love to chat with ML engineers and companies looking to implement custom LLMs. Email them at [founders@automorphic.ai](mailto:founders@automorphic.ai), or book a meeting [here](http://calendly.com/automorphic)", "url": "https://www.ycombinator.com/launches/JOw-automorphic-infuse-knowledge-into-language-models-with-just-10-samples", "votes": 176, "created_at": "2023-09-01T21:50:34.474Z" } ] }, { "id": 28999, "name": "Baserun", "slug": "baserun", "former_names": [ "Mochi Labs", "baserun.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/690380b4e86d38cde32c248c69764afbcf933aed.png", "website": "https://baserun.ai", "all_locations": "San Francisco, CA, USA", "long_description": "LLMs are incredibly powerful, but latency, cost, and unpredictable outputs have made productionizing LLM features challenging. Baserun is a testing and observability platform that helps AI teams streamline their development cycle from identifying an issue to evaluating their solution, so that teams ship faster with confidence.", "one_liner": "Observability and evaluation platform for LLM apps.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1691548192, "tags": [ "AIOps", "Developer Tools", "B2B", "AI" ], "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/baserun", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/baserun.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/baserun", "x_url": "https://twitter.com/baserunai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/baserun-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/690380b4e86d38cde32c248c69764afbcf933aed.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": 1038083, "full_name": "Effy Zhang", "title": "Founder", "founder_bio": "Building something new", "is_active": false, "linkedin_url": "https://linkedin.com/in/effyz", "x_url": "https://twitter.com/effyyzhang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a25255d1e49c35b1b85e203afd7a6c0c205da71a.jpg" }, { "user_id": 815071, "full_name": "Adam Ginzberg", "title": "Founder", "founder_bio": "Adam is the CTO and co-founder of Subframe. He was an early engineer at Coda, helped lead the Coda AI team, and studied CS at Stanford.", "is_active": false, "linkedin_url": "https://linkedin.com/in/adam-ginzberg-77b6ba126", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/505718638d29d03233126fde46ccd0bfe504af7d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 74004, "title": "baserun.ai: Ship LLM features with confidence 💪💪💪", "tagline": "A testing platform for LLM apps. ", "body": "**TL:DR:** [baserun.ai](http://baserun.ai) is a testing platform for LLM apps. From prompt playground to end-to-end tests, baserun helps you ship your LLM apps with confidence and speed.\n\n## **The problem:**\n\n**Productionizing LLM features is hard. 🥲**\n\n1. It's difficult to judge which combination of model, configurations, and prompts performs better.\n2. It's challenging to debug complex workflows that mix chained prompts and other 3rd party API calls.\n3. It's hard to understand the progression of app performance over time.\n\n![uploaded image](/media/?type=post&id=74004&key=user_uploads/1038083/cef4bc61-ae39-4dc0-b0ca-f763861c4e97)\n\n## **Our solution:**\n\n**Gain insights into your LLM features within seconds**\n\nInstall baserun SDK and immediately gain insights into your LLM features and agents during testing, and monitor their behavior in production.\n\n**Full visibility into your end-to-end tests & user journey**\n\nVisualize the precise sequence of calls, duration, and cost, along with the inputs and outputs at each stage, encompassing both custom functions and third-party API calls.\n\n**Intuitive and flexible UI for evaluating and debugging**\n\nEffortlessly compare test runs side by side, directly edit prompts, and rerun tests from the UI.\n\n![uploaded image](/media/?type=post&id=74004&key=user_uploads/1038083/87f4df81-dd31-49b5-aeb0-5d5b51f7e504)\n\n**Collaborative workspace for teams**\n\nReview results, experiment and iterate on prompts, and build test datasets with your whole team. All prompts and test results are version-controlled.\n\n![uploaded image](/media/?type=post&id=74004&key=user_uploads/1038083/3cd2684f-04b3-4835-ac39-c27ba810a69f)\n\n**Our Asks**\n\n* Try [baserun](https://baserun.ai/welcome) and give us some feedback! [Book a 15-minute call](https://calendly.com/effy-zhang/baserun-onboarding-call) with us. We’d love to hear about what you are building and help you get onboarded.\n* You can follow us on [Twitter](https://twitter.com/baserunai) or [LinkedIn](https://www.linkedin.com/company/baserun), or email us at [hello@baserun.ai](mailto:hello@baserun.ai)", "url": "https://www.ycombinator.com/launches/JFc-baserun-ai-ship-llm-features-with-confidence", "votes": 161, "created_at": "2023-08-10T19:17:49.128Z" } ] }, { "id": 29000, "name": "SafetyKit", "slug": "safetykit", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e6e9147312768cd270c02c7f00e0de9c130d05d.png", "website": "https://www.safetykit.com/", "all_locations": "San Francisco, CA, USA", "long_description": "SafetyKit's AI agents do the dirty work for big tech and finance companies so humans don't have to.\r\n\r\nToday companies rely on armies of low-paid outsourced humans to protect their platforms from fraud, harassment, and crime. It’s super important work, but the jobs are difficult and sometimes traumatizing, and it’s impossible to keep up. Our mission is to end this manual toil.\r\n\r\nWe learned this domain first-hand at Stripe and Airbnb, where first we built software for human reviewers, and then built models to replace them.\r\n\r\nWe’re a group of engineers from Stripe, Meta, Netflix, MIT, and Princeton that love language models and unironically love B2B SaaS. We know the economy is going to be rearranged over the next 4 years and we want to be in the driver’s seat.\r\n\r\nWe build vertical AI that works and have some of the world’s largest companies as paying customers. Patreon, Eventbrite, Upwork, Character.ai, Substack, Faire, along with a $10B+ marketplace, a $100B+ payments company, and more rely on SafetyKit in production.", "one_liner": "AI agents for risk, compliance, and safety", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1687827774, "tags": [ "Fintech", "Compliance", "Trust & Safety" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/safetykit", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/safetykit.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e6e9147312768cd270c02c7f00e0de9c130d05d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 229727, "full_name": "David Graunke", "title": "Founder", "founder_bio": "David led engineering for risk reviews at Stripe for fraud, credit, content moderation, and financial crimes. He built the policy and workflow engine that scaled Stripe from internal reviewers to thousands of outsourced vendor agents.\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/david-graunke-46790429", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/74280d7f5e615ac603ec8f6a3bef6130e7e52d34.jpg" }, { "user_id": 62739, "full_name": "Steven Guichard", "title": "Founder", "founder_bio": "Steven is a cofounder of SafetyKit, working to replace human risk reviewers with language models.\n\nPreviously he worked at Carbic as the first software engineer and later as the CEO. There he helped build ultrasonic flow sensors which were installed on oil pipelines and offshore rigs around the world.\n\nSteven also cofounded Thomas Street, a software design and engineering consultancy, where he worked with companies like Cisco, Roche, and DirecTV.", "is_active": true, "linkedin_url": "https://linkedin.com/in/stevenguichard", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ed82d81d2471d918a51f0385913aad07ed1a7906.jpg" } ], "jobs": [ { "id": 75704, "title": "Full Stack Engineer, Intern Summer 2026", "url": "https://www.ycombinator.com/companies/safetykit/jobs/eQpUzRD-full-stack-engineer-intern-summer-2026", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$12.5K - $16.5K / monthly", "equity_range": "", "experience": null, "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "TypeScript", "SQL" ] }, { "id": 88979, "title": "Business Development Representative (BDR)", "url": "https://www.ycombinator.com/companies/safetykit/jobs/7FWTRS8-business-development-representative-bdr", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K - $200K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 88981, "title": "Growth Lead", "url": "https://www.ycombinator.com/companies/safetykit/jobs/fg68qhB-growth-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$120K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89716, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/safetykit/jobs/HBtkq9l-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "SafetyKit | SafetyKit Raises $27m to Make AI do Tech's Dirty Work", "url": "https://www.safetykit.com/resources/safetykit-raises-27m-to-make-ai-do-techs-dirty-work", "date": "Jun 02, 2025" } ], "launches": [] }, { "id": 29001, "name": "VectorShift", "slug": "vectorshift", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d30177551218ee02ced845873981b3eabea3ffe0.png", "website": "https://www.vectorshift.ai", "all_locations": "New York City, NY, USA", "long_description": "VectorShift is the AI operating system for private market investors.VectorShift is the AI operating system for private market investors. We capture a firm's institutional knowledge across every deal, decision, and diligence finding, and put it to work across data room analysis, IC memos, portfolio company monitoring, and LP reporting.", "one_liner": "AI Operating System for Private Market Investors", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1690889498, "tags": [ "Generative AI", "Finance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "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/vectorshift", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/vectorshift.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vectorshift/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d30177551218ee02ced845873981b3eabea3ffe0.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": 1325593, "full_name": "Alexander Leonardi", "title": "Founder", "founder_bio": "CEO at VectorShift. Previously Private Equity Data Science Analyst at Blackstone, where he evaluated private equity transactions, deployed AI/ML solutions for portfolio companies, and helped establish Blackstone's perspectives and capabilities surrounding Generative AI. AB/SM in Statistics & Computer Science from Harvard. Grew the Harvard College Consulting Group >200% YoY to >$1m annual revenue as CEO.", "is_active": true, "linkedin_url": "https://linkedin.com/in/alexanderleonardi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/91bea6df6070a17a29e0a91649ece6dcc5626f9f.jpg" }, { "user_id": 1325592, "full_name": "Albert Mao", "title": "Founder", "founder_bio": "COO at VectorShift. Former Tech GTM / product consultant at McKinsey. Studied Statistics at Harvard '21. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/albert-mao-8b263aa2", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6aec6e2f788263864b7ff20d1128e082cfcb041b.jpg" } ], "jobs": [ { "id": 105812, "title": "Product Marketing Manger", "url": "https://www.ycombinator.com/companies/vectorshift/jobs/8EwAk1Y-product-marketing-manger", "location": "New York, NY, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$125K - $200K", "equity_range": "0.10% - 0.30%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 111159, "title": "Business Operations Manager", "url": "https://www.ycombinator.com/companies/vectorshift/jobs/BhOugS9-business-operations-manager", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "0.10% - 0.30%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 111229, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/vectorshift/jobs/AoLXZOp-chief-of-staff", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$125K - $175K", "equity_range": "0.10% - 0.30%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 114424, "title": "Founding Account Executive — Financial Services", "url": "https://www.ycombinator.com/companies/vectorshift/jobs/Pg8QCTY-founding-account-executive-financial-services", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $160K", "equity_range": "0.10% - 0.30%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Exclusive: VectorShift raises $3M to modularize LLM application development | VentureBeat", "url": "https://venturebeat.com/ai/exclusive-vectorshift-raises-3m-to-modularize-llm-application-development/", "date": "Feb 21, 2024" } ], "launches": [ { "id": 84731, "title": "VectorShift: No-Code AI Automations Platform", "tagline": "Build AI assistants and workflow automations in no-code.", "body": "[VectorShift](http://www.vectorshift.ai/) is a no-code AI automations platform. Teams leverage AI through VectorShift’s no-code interface to search through knowledge bases, automate workflows, and deploy AI chatbots and assistants without needing to code or having knowledge about AI. \n\n\n\n**VectorShift Platform**\n\nThrough drag-and-drop components, VectorShift’s no-code builder allows you to: \n\n* Use a flexible “visual programming language” to prototype, build, deploy, and manage LLM apps.\n* Allow AI workflows to leverage a knowledge base with your data (e.g., files, documents, website). Knowledge bases can live-sync with your data wherever it sits (e.g., Google Drive, OneDirve, Notion, etc.).\n* Define triggers that automatically run workflows (e.g., Slack message / Email) and allow workflows to perform actions (e.g., write a notion document).\n* Place interfaces on workflows that you build (e.g., chat, forms, search engine, bulk runs, voice, etc.).\n* Maintain enterprise-grade security - VectorShift is SOC2 Type 2, GDPR, and HIPPA compliant.\n\n \n\n**Enterprise Search Product Launch**\n\nToday, VectorShift launches its unified Enterprise search product. Connect to all your team’s tools (e.g., Google Drive, Notion, Slack) for a single place to securely search/chat with your documents. \n\nWith VectorShift, you can:\n\n1. Choose your preferred LLM model provider or leverage your own.\n2. Live-sync with your data wherever it sits. VectorShift will automatically transform, optimize, and enhance your data based on source and type (e.g., PDFs, tabular data, images, etc.) to significantly improve retrieval accuracy.\n3. Granularly site all answers generated by AI with 1) document source/type, 2) chunks used, and 3) page numbers/sheet names. \n4. Utilize advanced retrieval methods - e.g., re-ranking, hybrid search, advanced data extraction/processing models, metadata filtering, and query optimization. \n5. Leverage enterprise-grade permissioning to deploy the AI search engine directly to your organization.\n\nStep 1: After connecting all your data in a knowledge base, fully customize the interface with your branding. \n\n![uploaded image](/media/?type=post&id=84731&key=user_uploads/1325592/1a4c3232-6a32-49a9-96d9-de20ec7fe607)\n\nStep 2: Securely search and ask questions to all your data in one place.\n\n![uploaded image](/media/?type=post&id=84731&key=user_uploads/1325592/b4524000-2cd5-4b3e-9d70-ad9ea4f2f019)\n\nStep 3: Deep dive into results by chatting with retrieved documents. \n\n![uploaded image](/media/?type=post&id=84731&key=user_uploads/1325592/26f8cf49-4011-44e0-a24c-d731890cd384)\n\n**About Us:**\n\nAlex Leonardi: BA/MS in Statistics & Computer Science from Harvard. Previously, Private Equity Data Science Analyst at Blackstone, where he deployed AI/ML solutions for portfolio companies and helped establish Blackstone's perspectives and capabilities surrounding Generative AI.\n\nAlbert Mao: BA in Statistics at Harvard. Albert worked at McKinsey, where he helped Fortune 500 organizations digitally transform and revamp the GTM motions and products of multiple enterprise software companies. \n\n**The Ask:**\n\n* Try VectorShift: \n* If you are interested in discussing further, book a demo here: . We provide hands-on support in identifying, building, and deploying AI solutions.", "url": "https://www.ycombinator.com/launches/M2d-vectorshift-no-code-ai-automations-platform", "votes": 18, "created_at": "2024-10-16T11:23:50.769Z" }, { "id": 80383, "title": "VectorShift: No-code generative AI platform", "tagline": "Build AI assistants and workflow automations in no-code", "body": "[VectorShift](http://www.vectorshift.ai/) is a no-code generative AI platform. Teams leverage AI through VectorShift’s no-code interface to search through knowledge bases, automate workflows, and deploy AI chatbots and assistants without needing to code or having knowledge about AI. \n\n[ ](https://www.youtube.com/watch?v=t18ySXNDYvs)\n\n**VectorShift Platform**\n\nThrough drag-and-drop components, VectorShift’s no-code builder allows you to: \n\n* Use a flexible visual programming language to prototype, build, deploy, and manage LLM apps.\n* Allow AI workflows to leverage a knowledge base with your data (e.g., files, documents, website). Knowledge bases live-sync with data across your tools (e.g., Google Drive, OneDrive, Notion, etc.).\n* Define triggers that automatically run workflows (e.g., Slack message) and allow workflows to perform actions (e.g., write a notion document).\n\nHundreds of companies across healthcare, finance, technology, education, logistics, and professional services already use VectorShift in production. Here are some real-life examples: \n\n* Startups (including multiple YC startups!) use VectorShift to power the “backend” of their **AI product features**.\n* A European conglomerate uses VectorShift to **automate report writing** for clients.\n* A professional services firm for the US government uses VectorShift to **automate RFP proposals** and **search through their contract library** to answer queries.\n* A healthcare education company uses VectorShift to create a **chatbot** to answer patient questions leveraging their extensive knowledge base.\n* A large technology company built an **internal support assistant** to answer questions about employee policies\n\nAnd much more…\n\nOther use cases our customers have in production: document analysis at scale, scraping internet data, content creation, and automatically sending personalized outbound emails.  \n\n**Chat / Assistant Interface Product Launch**\n\nIn building our no-code builder, users requested a way to place interfaces on workflows so they can automate workflows end to end. Today, we are launching VectorShift’s assistant product!\n\nStep 1: After building an AI workflow, place a chat / AI assistant-style interface in your workflow.\n\n![uploaded image](/media/?type=post&id=80383&key=user_uploads/1325592/7dc154c9-2642-41f4-8342-43b5cf74590f)\n\nStep 2: Fully customize the interface with your branding to share chat assistants internally or export to end-users / clients via URL, iFrame, Whatsapp / SMS, API, or as a Slack bot.\n\n![uploaded image](/media/?type=post&id=80383&key=user_uploads/1325592/7c67a1e3-e464-410d-ac95-6c8352cc110d)\n\nStep 3: Manage your production app by viewing collected data and analytics.  \n\n![uploaded image](/media/?type=post&id=80383&key=user_uploads/1325592/73cbd04f-6fc2-4f81-b794-b086a3af5e62)\n\n**About Us:**\n\nAlex Leonardi: BA/MS in Statistics & Computer Science from Harvard. Previously, he was a Private Equity Data Science Analyst at Blackstone, where he deployed AI/ML solutions for portfolio companies and helped establish Blackstone's perspectives and capabilities surrounding Generative AI.\n\nAlbert Mao: BA in Statistics at Harvard. Albert worked at McKinsey where he helped Fortune 500 organizations digitally transform along with revamping the GTM motions and products of multiple enterprise software companies. \n\n**The Ask:**\n\n* Try VectorShift: \n* If you are interested in discussing this further, book a demo here: . We provide hands-on support in identifying, building, and deploying AI solutions.\n\n![uploaded image](/media/?type=post&id=80383&key=user_uploads/1325592/393b980e-d835-4fbc-aee9-1ab57672b0e3)\n\n", "url": "https://www.ycombinator.com/launches/KuV-vectorshift-no-code-generative-ai-platform", "votes": 18, "created_at": "2024-04-24T14:55:24.660Z" }, { "id": 77798, "title": "VectorShift - The AI Automation Platform", "tagline": "Leverage AI in building automated workflows in a no-code interface or through a Python SDK.", "body": "[VectorShift](http://www.vectorshift.ai/) is an AI automation platform. Teams leverage AI through VectorShift’s no-code interface or Python SDK to search through knowledge bases, generate documents, and deploy chatbots and assistants. We give all organizations the ability to build enterprise-grade AI applications.\n\n[ ](https://www.youtube.com/watch?v=WWS0uj-ed8U)\n\n# **VectorShift Platform**\n\nThrough drag-and-drop components, our no-code builder allows you to: \n\n* Connect different nodes like LLMs, data loaders, vector databases, and more.\n* Create a knowledge base of your data (e.g., CRM, Notion database, files) or live sync with your data sources to leverage within AI pipelines.\n* Create automations that trigger the running of pipelines (e.g., Slack message / Email) and allow pipelines to perform actions (e.g., write a notion document).\n* Deploy your pipeline through a chat interface with just a few clicks. Share chat assistants internally, or export to end-users via URL, WhatsApp / SMS, or API.\n\n![uploaded image](/media/?type=post&id=77798&key=user_uploads/1325592/3a8a510a-c672-49cb-82a6-4182d368295d)\n\n# **What are real examples of companies using VectorShift in production?**\n\n* A startup uses VectorShift to power the “backend” of their **AI product features**.\n* A European conglomerate uses VectorShift to **automate report writing** for clients.\n* A professional services firm for the US government uses VectorShift to **automate sales proposals** and **search through their contract library** to answer queries.\n* A healthcare education company uses VectorShift to create a **chatbot** to answer patient questions leveraging their extensive knowledge base.\n* A large technology company built an **internal support assistant** to answer questions about employee policies.\n\nAnd much more…\n\nTo name a few: document analysis, scoring resumes, drafting patents and legal documents, and automatically sending personalized outbound emails.  \n\n# **Python SDK Launch**\n\nIn building our initial product line, users requested a way to interface with our platform through code, so we’ve built a Python SDK for working with our various product lines. Now, you can access functionality present in our no-code platform directly through your IDE. Using the SDK, you can:\n\n* Fetch, edit, save, and run your pipelines and chatbots. Run your AI workflows and use your preferred version-control system to work with your VectorShift-managed AI pipelines in code.\n* Load and query your vector stores, and add new indices to index your data.\n* Work with any connected integrations, like Notion, OneDrive, Slack, etc.\n\nAny changes you save through the SDK will automatically update in the no-code platform so you can enjoy complete interoperability between the two interfaces. You can view the documentation for our SDK here: \n\n# **About Us:**\n\n[Alex Leonardi](https://www.linkedin.com/in/alexanderleonardi/): BA/MS in Statistics & Computer Science from Harvard. Previously Private Equity Data Science Analyst at Blackstone, where he deployed AI/ML solutions for portfolio companies and helped establish Blackstone's perspectives and capabilities surrounding Generative AI.\n\n[Albert Mao](https://www.linkedin.com/in/albert-mao-8b263aa2/): BA in Statistics at Harvard. Albert worked at McKinsey where he helped Fortune 500 organizations digitally transform along with revamping the GTM motions and products of multiple enterprise software companies. \n\n![uploaded image](/media/?type=post&id=77798&key=user_uploads/1325592/2f4a1481-ae88-43b8-b699-bc48a0f70ff2)\n\n# **The Ask:**\n\n* Try VectorShift: \n* If you are interested in discussing further, book a demo with us here: . We are always happy to help iterate with you on use cases!", "url": "https://www.ycombinator.com/launches/KEo-vectorshift-the-ai-automation-platform", "votes": 25, "created_at": "2024-01-24T14:40:19.860Z" }, { "id": 73759, "title": "VectorShift: No-code LLM workflow builder", "tagline": "We let you design, integrate, and deploy internal LLM tools in minutes", "body": "[VectorShift](http://www.vectorshift.ai/) is a no-code platform that lets teams quickly create AI workflows. Enterprises use us to build internal tools to generate marketing copy, proposals, and RFP responses. Startup teams use us to automate workflows such as writing personalized emails and deploying chatbots.\n\n[ ](https://www.youtube.com/watch?v=tKhVKJGOqDM&ab_channel=AlbertMao)\n\n**Introduction**\n\nThis is [Alex Leonardi](https://www.linkedin.com/in/alexanderleonardi/) and [Albert Mao](https://www.linkedin.com/in/albert-mao-8b263aa2/) - we studied CS and statistics together at Harvard and previously, we grew a business >200% Y/Y to 7 figures as CEO and CRO. During that time, we realized that our sales reps were spending more than half their time 1) writing proposals, 2) writing personalized outreach emails, and 3) researching prospects. If we could automate these workflows, we would be able to reach more leads and grow faster!\n\nHowever, there was no way to build these custom generative AI workflows at scale, meaning that we had to build all of our tooling from scratch. That's why we built VectorShift - it is what we wished we had when running our previous business.\n\n**VectorShift Platform**\n\nOur platform’s core features include:\n\n* **Pipeline Builder:** Connect different nodes like LLMs, data loaders, vector databases, and more.\n* **File Handling:** Pass files as inputs and save them as outputs while using pipeline nodes to parse their meaning.\n* **Deployment Acceleration:** A marketplace of pre-built workflows, easily customizable for your needs.\n* **Reusable Components:** Use previous pipelines as nodes in new ones, allowing quick reuse of existing functionality.\n* **Chatbot Creation:** Convert any pipeline into a Chatbot with just a few clicks.\n* **API Integration:** Run pipelines and chatbots easily with API calls.\n* **Public Marketplace:** Run pipelines that other users have already refined, and publish your own pipelines for others to use.\n\nOur pipeline builder allows the user to quickly connect different components needed in a generative AI workflow. For example, sales reps use VectorShift to replicate the logic they use to write account proposals and reclaim hours of time every day.\n\n![](https://lh4.googleusercontent.com/9Tn6V3lthGLkz2zdpQWlkiSt2CRQpVJXdB8dNREiJhl81zIsMhGwx7EQhMP3Wy5YqGeW9QE3n0Sn2zzw0jyVsYRVKmUhnkNl6oI37RuxWOBCZYNX7NtJX-hzqrXlAtlHKk9vUD2Laod0fiGa8z5RNXw)\n\nIn addition to providing the building blocks of building any generative AI workflow, we further accelerate the deployment process by offering a marketplace of pre-built workflows. Want a pipeline that generates personalized emails? We already have one built for you to modify to your liking. \n\n![](https://lh5.googleusercontent.com/_TH3ixjhoNzuK5EyaDje9ZHVauXOOvSB4BeUTj2GJq_UIQqjlSG1y7Ang05A5rIxm9y05emBo4IhQHD5pj7QZJfDp2oDsM7qtTGXIgLTlDhLoV806oUMNvUmAqlr9VKD854q2SBiJjMcKisdpRxF62w)\n\n**About Us:**\n\nAlex Leonardi: BA/MS in Statistics & Computer Science from Harvard. Previously Private Equity Data Science Analyst at Blackstone, where he deployed AI/ML solutions for portfolio companies and helped establish Blackstone's perspectives and capabilities surrounding Generative AI.\n\nAlbert Mao: BA in Statistics at Harvard. Albert worked at McKinsey where he helped Fortune 500 organizations digitally transform along with revamping the GTM motions and products of multiple enterprise software companies.\n\n![](https://lh6.googleusercontent.com/f6DnmkT0xpTnl7giTjYMudF1rSwAsHDIkmTow46kXAe3OzltO0z_MFNG0_AMCd1BfgDOOfwR4yXzdhUioBdi5OHV4ii7KCeZpW_okkP_UfgUQ4ikpmAv7pRXJ1TVX8XNuQYsPHBOTVh5IQkei7O7Vro)\n\n**The Ask:**\n\n* Try VectorShift for free: \n* If you are interested in discussing further, book a demo here: . We are happy to help iterate with you on potential use cases!", "url": "https://www.ycombinator.com/launches/JBf-vectorshift-no-code-llm-workflow-builder", "votes": 157, "created_at": "2023-08-03T15:10:51.548Z" } ] }, { "id": 29002, "name": "Envelope", "slug": "envelope", "former_names": [ "Envelope Money" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2e740f2179bdee63c6c4fcdf1727acdeb9510d9.png", "website": "https://envelopebudgeting.com/", "all_locations": "Phoenix, AZ, USA", "long_description": "Envelope is a budgeting app with built-in checking and debit cards. It helps people organize real money into digital envelopes, plan ahead for bills and everyday spending, and control spending before it happens, instead of only tracking transactions after the money is gone.", "one_liner": "Budgeting app with built-in banking", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Consumer Finance", "launched_at": 1691448232, "tags": [ "Fintech", "Consumer", "Neobank" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Fintech", "Consumer Finance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/envelope", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/envelope.json", "year_founded": 2022, "city": "Phoenix", "country": "US", "linkedin_url": "https://www.linkedin.com/company/envelope-money/", "x_url": "https://twitter.com/envelopemoney", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2e740f2179bdee63c6c4fcdf1727acdeb9510d9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/fbeaf68f314a220a06e0e4d319dc7b8e7fd6bae4.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 900173, "full_name": "Katelyn Strobel", "title": "Founder", "founder_bio": "Cofounder/CEO at Envelope. I love money and helping people keep more of it. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/katelynstrobel", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bd8b9dd81e7dbf7aa64f0398d989656613c8f8e3.jpg" }, { "user_id": 226037, "full_name": "Josh Strobel", "title": "Founder", "founder_bio": "Technical cofounder & CTO at Envelope, an iOS budgeting app with built-in checking accounts and debit cards for individuals and families. Previously worked on the Robinhood and Twitter iOS apps.\n\nOther places I've been\n- Tesla (shop.tesla.com)\n- Microsoft (Edge Browser & Windows Server)\n- Adobe (Adobe Analytics)", "is_active": true, "linkedin_url": "https://linkedin.com/in/joshuakcockrell", "x_url": "https://twitter.com/joshuakcockrell", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cc0a244447fec1067e4ddfa275afca5536efd587.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73974, "title": "Envelope ✉️ Budgeting app with built-in banking", "tagline": "A budgeting app with a built-in checking account and debit cards, so your money stays organized and managing your finances feels effortless.", "body": "**TLDR** We're a consumer budgeting app with built-in banking.\n\n**PROBLEM**\n\nSaving, investing, and meeting wealth milestones are critical for good financial health, but are often boring or stress-inducing. It doesn’t pack the same dopamine punch as 2% cash back. This leaves us with a gaping disparity between the average total consumer debt of $101,915 and the 63 percent of Americans who don't have enough saved to cover a $500 financial setback.\n\nWe— [**@Josh Cockrell Strobel**](https://www.linkedin.com/in/joshuakcockrell/) and [**@Katelyn Strobel**](https://www.linkedin.com/in/katelynstrobel/)— run a 75K+ subscriber YouTube channel, and have vlogged our personal finance journey as a couple in Silicon Valley. We were constantly getting asked which tools we recommended for managing our finances. At that point, we had tried everything and were frustrated with the existing solutions. We had nothing we could confidently recommend.\n\nSo, we decided to use our backgrounds in consumer fintech (Katelyn worked on marketing projects for Apple Card, Acorns, and Digit, and Josh worked as a programmer on the Robinhood & Twitter iOS apps) to create our personal finance platform.\n\n![uploaded image](/media/?type=post&id=73974&key=user_uploads/226037/e515a2c0-56a8-4a59-ac75-cb2df7c7818f)\n\n**SOLUTION**\n\n**We make good financial behavior fun, measurable, and addicting.**\n\nThrough our banking partners\\*, our app employs an FDIC-insured checking account and Visa card to serve as the central hub of your finances, and our budgeting features and analytics enhance the experience by aligning you with your dream financial life. We facilitate all of this through a digital “cash” envelopes system, custom goals, and tailored analytics.\n\n![uploaded image](/media/?type=post&id=73974&key=user_uploads/900173/a155aa83-8955-4649-85da-64ecf0cf22a3)\n\n**ASKS**\n\n* **Download our iOS and Android apps** at \n* **Leave us a ⭐⭐⭐⭐⭐ review** on the App Store and Play Store.\n* **Share this post!**\n\n\\*Banking services provided by Envelope’s partner banks, Members FDIC. Card Services are issued by Envelope’s partner banks, pursuant to a license from Visa.", "url": "https://www.ycombinator.com/launches/JF8-envelope-budgeting-app-with-built-in-banking", "votes": 107, "created_at": "2023-08-09T20:48:14.629Z" } ] }, { "id": 29003, "name": "DisputeNinja", "slug": "disputeninja", "former_names": [ "Trench", "Dispute Ninja" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/be80458dcbfc97e8fb3e29817ae9f8981da73858.png", "website": "https://www.disputeninja.ai", "all_locations": "San Francisco, CA, USA", "long_description": "DisputeNinja helps software and AI startups automate their chargebacks and recover revenue.", "one_liner": "Automate your chargebacks with AI agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1690854655, "tags": [ "SaaS", "Payments", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/disputeninja", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/disputeninja.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/trytrench", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/trytrench/trench", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/be80458dcbfc97e8fb3e29817ae9f8981da73858.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 565867, "full_name": "Max Wu", "title": "Founder", "founder_bio": "Fighting Stripe disputes at Dispute Ninja", "is_active": false, "linkedin_url": "https://linkedin.com/in/maxcwu", "x_url": "https://twitter.com/legitmaxwu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7c6343c78be51aef0aa7b839dcee2bfb7ff29f5e.jpg" }, { "user_id": 279630, "full_name": "Bowen Xue", "title": "Founder", "founder_bio": "Fighting chargebacks @DisputeNinja (YC S23). Prev @Together (YC S19)", "is_active": false, "linkedin_url": "https://linkedin.com/in/bowenxue", "x_url": "https://twitter.com/xboxue", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8792d78336aa786d7540e1ff959deebe61562c15.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 89254, "title": "DisputeNinja 🥷 AI-powered Chargeback Responses", "tagline": "Recover 2x more revenue from chargebacks", "body": "**DisputeNinja uses AI to help businesses recover 2x more revenue from chargebacks.** In the past 3 months, we’ve helped 200+ Stripe merchants recover hundreds of thousands in lost revenue.\n\n\n\n# **The Problem**\n\nIf you’re a business who’s dealt with chargebacks, you’ve probably felt this:\n\n🧨 **You did everything right and still lost the money**\n\n_“We shipped the product, supported the customer, submitted everything we had… and still lost.”_\n\nThe worst of all is, you don’t even know why you lost. It starts to feel like chargebacks are unwinnable, no matter what you do.\n\n* You didn’t know what to submit in the first place, since the guidelines weren’t clear\n* The loss reason from the bank is vague and unhelpful\n* And now Stripe’s adding a $15 fee every time you lose, making it even worse\n\n**🕒 It takes too much time**\n\n_“It’s not worth an hour just to lose $50.”_\n\n* Writing a response takes 30–60 minutes.\n* Gathering the evidence is a headache. It’s spread across Stripe, Shopify, email, shipping tools, and more.\n* Each case is a little different, so you can’t just copy-paste your last one.\n\n# **The Solution**\n\n**✨ AI-generated responses**\n\nUpload your evidence and DisputeNinja will write a tailored response for you, using past disputes we’ve won for similar products and businesses.\n\n![uploaded image](/media/?type=post&id=89254&key=user_uploads/279630/bc6a262a-06da-4c2c-866e-1b080809d479)\n\n**✅ Evidence checks**\n\nDisputeNinja evaluates your evidence against the chargeback reason code and tells you exactly what’s needed to win.\n\n![uploaded image](/media/?type=post&id=89254&key=user_uploads/279630/e35c285f-3bf0-45f2-bf94-32a5e1acd4f2)\n\nIn the past 3 months, we’ve helped 200+ Stripe merchants recover hundreds of thousands in lost revenue.\n\n# **The Ask**\n\n* [Try us out for free](http://disputeninja.ai) on Stripe or Shopify\n* If you handle 30+ disputes monthly, we can help with automating your disputes. If you’re interested, book a time on my [Calendly](https://calendly.com/disputeninja/30min) or reach\n\n out at [bowen@disputeninja.io](mailto:bowen@disputeninja.io).\n\n![uploaded image](/media/?type=post&id=89254&key=user_uploads/279630/04fe8187-c048-4ddb-9e30-2c48a65d868e)\n\n", "url": "https://www.ycombinator.com/launches/NDa-disputeninja-ai-powered-chargeback-responses", "votes": 29, "created_at": "2025-04-04T16:58:16.174Z" }, { "id": 73769, "title": "Trench: Open-source fraud prevention platform for marketplaces", "tagline": "Building better fraud prevention tools for everyone", "body": "**TLDR: You can now self-host an open-source fraud prevention solution as a marketplace.**\n\nHi everyone! We’re [Bowen](https://linkedin.com/in/bowenxue) (left) and [Max](https://www.linkedin.com/in/maxcwu/) (right) from [Trench](http://trytrench.com/). We used to work at startups that let you purchase NFTs/crypto via credit card/ACH, and we spent a lot of our time there fighting payment fraud.\n\n![uploaded image](/media/?type=post&id=73769&key=user_uploads/279630/d89c7fe4-fa97-4769-b18b-a9b190ff8bf9)\n\n### **🔥 PROBLEM**\n\n### **Fraud vendors can’t solve fraud for you. Every business outgrows their vendor.**\n\nThere will always be fraud that is specific to your application or business, that no vendor will solve. This is because:\n\n* They don’t know your business.\n* They have a thousand other customers to worry about.\n\nAt one point, fake NFT sellers on our marketplace accounted for **90%** of our fraud, but none of our vendors cared about sellers, let alone NFT projects.\n\nTo reduce fraud, we needed to build new tools and processes that were completely specific to us, like reviewing NFT sellers and analyzing blockchain activity.\n\n### **But existing vendors lock you in.**\n\nBecause existing fraud vendors are hosted and closed-source, it’s a nightmare to build around them:\n\n* **You can’t integrate your own data.** Every time we needed to add a custom field to our vendor’s dashboard, we needed _manual approval_. This process would take an entire week, during which we’d be losing money to fraudsters.\n* **You can’t export all your data.** To retrieve our _own_ payments data from our vendor, we had to write _web scrapers_ because there was no API or export button.\n\n### **🧱 SOLUTION**\n\n### **Trench grows with your business and doesn’t lock you in.**\n\n* **Trench is open-source.** You can modify it for your use case and share your solutions with others.\n* **Trench is self-hosted.** You have full control and access to your data, and you can respond to fraud without asking third parties for permission.\n* **Trench comes with tools out of the box.** You can [deploy](https://docs.trytrench.com) a dashboard and rule engine in one click and you can collect device data with one line of JS.\n\n### **🏠 FOR MARKETPLACES**\n\nIf you’re a marketplace, Trench can help you:\n\n* Prevent buyer and seller fraud in one platform\n* Review sellers by KYC, KYB and transaction history\n* Set transaction limits for both buyers and sellers\n* Automatically assess payments based on both buyer and seller data\n* Integrate directly with Stripe Payments, Identity, and Connect\n\n![uploaded image](/media/?type=post&id=73769&key=user_uploads/279630/60a63aef-cf4c-41ea-81f5-a09138bef002)\n\n### **👀 How do I get started?**\n\nYou can set up Trench in two steps:\n\n* [Deploy](https://docs.trytrench.com) an instance of Trench in minutes\n* Add a code snippet to your checkout page\n\nVisit our [repo](https://github.com/trytrench/trench) to get started or talk to us and we’ll do it for you.\n\n### **🙏 Our ask**\n\nWe’d love to chat if you’re a marketplace thinking about fraud or if you find yourself building a lot of fraud tools in-house: [founders@trytrench.com](mailto:founders@trytrench.com)\n\n⭐ Star our repo on [**Github**](https://github.com/trytrench/trench)", "url": "https://www.ycombinator.com/launches/JBp-trench-open-source-fraud-prevention-platform-for-marketplaces", "votes": 59, "created_at": "2023-08-03T17:08:22.666Z" } ] }, { "id": 29004, "name": "Chatter", "slug": "chatter", "former_names": [ "Cram" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bf0019c6ad5bec3a367e3a88e2bc4f39705513aa.png", "website": "https://chatter.anish.xyz", "all_locations": "Philadelphia, PA, USA", "long_description": "Chatter is Postman for LLMs. Our platform helps companies and developers test their LLM models. Iterate on prompts, run them across model families and evaluate them against test cases – all in one place. 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Interested in AI/ML and robotics. Studied CS + Robotics @ UPenn", "is_active": true, "linkedin_url": "https://linkedin.com/in/anishagrawal1", "x_url": "https://twitter.com/anishtxt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2a81a64a3b62eede66b2afbb6a2a26e0c0284415.jpg" }, { "user_id": 956884, "full_name": "Kasyap Chakra", "title": "Founder", "founder_bio": "Building Paragon to bring modern AI to the most important businesses in America.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kasyap-chakravadhanula-357b41132", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f2291d802e8439800d86c4b2e3b91eff9d7a1818.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73893, "title": "🧪 Chatter - Dead simple LLM iteration and testing", "tagline": "The Chatter platform helps companies and developers test their LLM models. ", "body": "**tl;dr**  Chatter is Postman for LLMs. Our platform helps companies and developers test their LLM models Iterate on prompts, run them across model families and evaluate them against test cases – all in one place. With collaboration features, engineers can design LLM chains while QA can write test cases.\\\n—\n\nHi everyone, we’re Anish and Kasyap aka the team behind [Chatter.](https://www.trychatter.ai/) We met at UPenn and dived deep into LLMs. After working on a couple projects, we realized LLM testing was a growing issue and built Chatter.\n\n![uploaded image](/media/?type=post&id=73893&key=user_uploads/1383268/18ea07e1-dd28-4625-b51c-44473efcd189)\n\n**🙋‍♂️ Who is it for?**\n\nWe built Chatter for developers and companies wanting observability while building with LLMs. If you’re building LLM-powered applications, refining your prompts, and care about their accuracy/performance (incorrect responses, hallucinations, etc), then Chatter is built for you.\n\n**⚙️ How does it work?**\n\n**🏗️ Build / Iterate Fast**, **with all the features you need**\n\nMultiple foundation models, LLM chaining, formatted responses, Jinja2 prompt templating, parameter tuning, and more – all without a single line of code. When you’re done, export the call(s) to your favorite programming language.\n\n![uploaded image](/media/?type=post&id=73893&key=user_uploads/1383268/fe7c2027-7741-4b86-bd00-3dc970d1faf2)\n\n🧪 **Test on hundreds of inputs, with automatic evaluation**\n\nEasily build a test suite as large as you need, and run it all with a single click. Add assertions for each LLM call, with automatic evaluation using anything from regex to LLM-powered methods. Everything is versioned in one place for easy comparison.\n\n![uploaded image](/media/?type=post&id=73893&key=user_uploads/1383268/8e29831b-d195-4105-9c7f-0cd1f4d3fe05)\n\n🚀 **Collaborate**\n\nNeed domain experts to review results, or your customer success team to bring in user feedback? Invite anyone into shared workspaces and make sure your users benefit from your combined expertise. \n\n![uploaded image](/media/?type=post&id=73893&key=user_uploads/1383268/d5bee1a6-612e-40e2-af2c-0463d7af8424)\n\n**🙏 Our ask**\n\nIf you know a company in your network that’s looking to improve their process for building with LLMs, we’d love a warm intro! My email is [**anish@trychatter.ai**](mailto:anish@trychatter.ai)\n\n🎡 Try the [playground](https://platform.trychatter.ai/playground) (bonus: share your feedback with us [founders@trychatter.ai](mailto:founders@trychatter.ai))\n\nShare this post!", "url": "https://www.ycombinator.com/launches/JDp-chatter-dead-simple-llm-iteration-and-testing", "votes": 27, "created_at": "2023-08-08T00:53:47.195Z" } ] }, { "id": 29005, "name": "Proof of Human", "slug": "proof-of-human", "former_names": [ "Roundtable", "Proof of Human, PBC" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2b427f260d9fc4b16ea2dd80662ee50a49dc6fee.png", "website": "https://poh.org", "all_locations": "San Francisco, CA, USA", "long_description": "Proof of Human is an API that invisibly detects bots and verifies human identity.\r\n\r\nFounded by Princeton cognitive scientists, Proof of Human leverages world-class research with industry-beating benchmarks so platforms can verify their human users friction-free.", "one_liner": "continuous human verification without CAPTCHAs or user friction", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1685540601, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Security" ], "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/proof-of-human", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/proof-of-human.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/proofofhumanpbc", "x_url": "https://twitter.com/proofofhuman", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2b427f260d9fc4b16ea2dd80662ee50a49dc6fee.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/169574e7aef0db9f748022d24bc10a1d49217e7c.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1368345, "full_name": "Mayank Agrawal", "title": "Founder", "founder_bio": "CEO of Proof of Human, building the invisible Turing Test for the Internet. \n\nBefore Proof of Human, Mayank completed a PhD at Princeton University working at the intersection of cognitive science and artificial intelligence, publishing in high-impact venues including Science, PNAS, and Psychological Review.\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/mayank-agrawal-08849aa6", "x_url": "https://twitter.com/mayankagrawal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/24d646069178afa83f6c27d40c9cb418b7af6e74.jpg" }, { "user_id": 1202145, "full_name": "Matt Hardy", "title": "Founder", "founder_bio": "Matt is a co-founder of Proof of Human, a company building the invisible Turing Test for the internet. Before Proof of Human, Matt was a PhD student at Princeton University, where he used machine learning and behavioral and experiments to study how people make decisions. Before his PhD, Matt majored in both statistics and economics at the University of Toronto, and worked in data science and econometrics. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/mdahardy", "x_url": "https://twitter.com/mdahardy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/86c2f5e7c9fed3a1ec7693920ca05ca8d71dd70d.jpg" } ], "jobs": [ { "id": 76838, "title": "Founding Member of Technical Staff", "url": "https://www.ycombinator.com/companies/proof-of-human/jobs/ZTZHEbb-founding-member-of-technical-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $150K", "equity_range": "1.00% - 3.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Google Cloud", "JavaScript", "Node.js", "Python" ] }, { "id": 108716, "title": "Founding GTM", "url": "https://www.ycombinator.com/companies/proof-of-human/jobs/WOKXDgC-founding-gtm", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$90K - $120K", "equity_range": "1.00% - 3.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 117699, "title": "Proof of Human, PBC: The invisible Turing Test for the Internet", "tagline": "The Proof of Human API continuously distinguishes humans from bots and AI agents.", "body": "**The internet is losing the ability to know who is human.**\n\nAI agents can now browse websites, fill out forms, complete tasks, and produce responses that are increasingly difficult to distinguish from those of real people. The systems the internet has historically relied on to separate humans from machines were not built for this world.\n\n## PROOF OF HUMAN\n\nThe Proof of Human API continuously distinguishes humans from bots and AI agents.\\\n\\\nModern AI can produce very human-like outputs. But producing an answer and producing it like a human are different things. Humans hesitate. We make mistakes. We correct ourselves. Our attention changes over time. The way we type, move, and interact leaves rich signatures that remain difficult for AI systems to reproduce. We call the broader research program _the Invisible Turing Test for the Internet_.\n\nProof of Human runs in the background while someone uses a website—no CAPTCHA, no puzzle, no interruption. We combine behavioral, device, and network signals and return a real-time assessment that companies can use to decide whether to trust an account, accept a response, or pay for work.\n\n\n\n## BENCHMARKS\n\nWe tested scripted bots and AI agents against Proof of Human and other leading detection systems.  \n\n![uploaded image](/media/?type=post&id=117699&key=user_uploads/1202145/ae031489-b618-4c0f-a1e7-a68dfa8cca03)\n\n_On a five-question survey, Proof of Human identified 99% of automated sessions, followed by reCAPTCHA v3 at 69.4%, hCaptcha at 44.3%, Cloudflare Turnstile at 42.1%, and Cloudflare Bot Management at 9.1%._\n\nTraditional automation signals remain effective against scripted browsers, but they are less reliable when AI agents operate through genuine browser environments. Even interactive challenges may offer limited protection when vision-capable agents can interpret and complete them. As browser-level indicators become easier to avoid, the way a user behaves throughout a session becomes increasingly important for distinguishing human activity from automation.\n\n## OUR CUSTOMERS\n\n**Today, Proof of Human acts as the trust layer behind online human research.** Stanford Psychology uses it to verify that participants in online studies are real. GrowProgress uses it as part of its quality-control stack for polling and public-opinion research. Market insights firms including Obsurvant use it to identify AI agents and other fraudulent respondents before they enter client datasets.\\\n\\\nThe common problem is the same: a response itself is no longer enough. An AI agent can give a coherent answer, pass an attention check, and look perfectly legitimate in the final dataset. Proof of Human looks at the process that produced it—how someone types, clicks, scrolls, moves through a page, and interacts with their device—continuously and without interrupting the user.\\\n\\\nProduction traffic also teaches us what to look for next. Customer deployments have uncovered new patterns of automation, from unnatural typing to partial AI copy-pasting, that are difficult or impossible to identify from the final answer alone. Those behaviors become new detectors, which are then tested across human, bot, and agent traffic before being deployed back into the network. The result is a system that improves as the adversary changes.\n\n![uploaded image](/media/?type=post&id=117699&key=user_uploads/1202145/0f53b0f4-ec5e-4837-acec-549a275ac727)\n\n_Proof of Human at Stanford Psychology. We first encountered this problem as researchers ourselves; today, research groups use Proof of Human to verify that the people behind online studies are actually people._\n\n## THE FUTURE\n\nWe started with online research because the problem was acute and measurable: organizations were paying for human judgment without reliably knowing whether a human had produced it.\n\nBut the same problem is rapidly appearing across applications, marketplaces, transactions, social platforms, and digital work. The internet needs a way to know when a human is actually on the other side—continuously, invisibly, and without another CAPTCHA.\n\nWelcome to the Proof of Human era.\n\nMatt & Mayank", "url": "https://www.ycombinator.com/launches/UcN-proof-of-human-pbc-the-invisible-turing-test-for-the-internet", "votes": 13, "created_at": "2026-10-14T14:43:03.903Z" } ] }, { "id": 29006, "name": "Inari", "slug": "inari", "former_names": [ "Backpocket" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6146717f3a538ddcc342da7a54a025ac6b894c0d.png", "website": "https://useinari.com", "all_locations": "San Francisco, CA, USA", "long_description": "Inari automatically surfaces actionable insights and product opportunities from your customer feedback, CRM, and backlog. \r\n\r\nInstead of sifting through 1000’s of sales calls, support tickets, and customer feedbacks manually, Inari automates the process of extracting useful quotes, surfacing customer insights and product opportunities, then linking insights and issues with your CRM and backlog so your team can spend less time analyzing and more time building products that customers love.", "one_liner": "Your junior AI product manager", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1691035994, "tags": [ "Generative AI", "B2B", "Analytics", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/inari", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/inari.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/98071724/", "x_url": "https://twitter.com/useinari", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6146717f3a538ddcc342da7a54a025ac6b894c0d.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": 1073124, "full_name": "Frank Lee", "title": "Founder", "founder_bio": "Cofounder / CEO of Inari. Led product teams building out gamification, marketplace, and economy management on NBA Top Shot and NFL ALL Day while @ Dapper Labs. Worked on ML pricing product and scaled several cities in BizOps between 2016-2020 @ Opendoor. Data became my love language while working @ Amazon. I love all things about startups, product, marathon running, and streetwear.", "is_active": true, "linkedin_url": "https://linkedin.com/in/bizfranklee", "x_url": "https://twitter.com/knarfeel_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4919cafa87948e30d8f65168cb9a460fc0753ad0.jpg" }, { "user_id": 1160832, "full_name": "Eric Kim", "title": "Founder", "founder_bio": "CTO of Inari: Building the AI copilot connected to your workplace data to empower teams to gather context and make decisions quickly.\n\nPreviously at Amazon.com Supply Chain Forecasting and AWS SageMaker as founding tech lead for DataWrangler, owner of the SageMaker XGBoost image, and point of contact for algorithm deployment to secure GovCloud environments.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ericangelokim", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b61a58ead2fa8cedfb3829d29203543e883dba42.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87667, "title": "Inari 🦊 - Your junior AI product manager", "tagline": "Build delightful products by identifying insights and product opportunities automatically from your customer feedback, CRM, and backlog.", "body": "Hey YC 👋🏼 - Frank and Eric here from [Inari](https://useinari.com/)!\n\n### **TL;DR**\n\n[Inari](https://useinari.com/) automatically surfaces actionable insights and product opportunities from your customer feedback, CRM, and backlog. This helps your team prioritize and build products that users love — without having to sort through 1,000’s of sales calls, support tickets, or feedbacks manually.\n\nTry Inari out for free at [useinari.com](http://useinari.com) or checkout our [product demo](https://www.youtube.com/watch?v=PKrRjXW1b08).\n\n### **Problem**\n\nThe canonical startup advice is “talk to your users” and “deeply understand customer problems,” but executing it is easier said than done. The volume of customer feedback and qualitative data is exploding, living fragmented across hundreds of tools, making it difficult and time-consuming to convert customer data into useful insights and product opportunities.\n\nWithout a clear view of what customers are saying, product teams miss out on signals that can improve their product, reduce churn, and drive revenue growth. Missed signals means your engineering team wastes time building features customers don’t actually need.\n\n### **Explore accurate customer insights**\n\nInari allows you to explore your customer feedback, convert it into actionable requests, defects, praises, and learnings, then deeply understand exactly what’s top of mind for customers. Each insight gets auto-linked with relevant customer feedbacks and your CRM, so you can measure how frequent and valuable an insight is based on feedback.\n\n![uploaded image](/media/?type=post&id=87667&key=user_uploads/1073124/0e4651d3-cf6b-4349-8f43-d2a6c97afef8)\n\n### **Unify feedback, analyze it at scale**\n\nInari unifies your customer feedback from sources like Gong, Intercom, Zendesk, and Slack then automates the tedious process of sifting through it, extracting useful quotes, measuring sentiment, triaging feedback to specific teams, and linking it back to insights and issues (goodbye Productboard 👋🏼) using personalized fine-tuned AI models.\n\n![uploaded image](/media/?type=post&id=87667&key=user_uploads/1073124/5fc0851a-7ae9-4dba-a9cb-7736f8144ae1)\n\n### **Prioritize product opportunities**\n\nInari syncs with your Jira and Linear backlog, so you can ingest existing issues then auto-link it to relevant feedbacks and your CRM. This enables product builders to know exactly which company accounts are requesting a feature, its revenue impact based on deal size, then identify and resolve requests and edge cases flagged in relevant customer comments.\n\n![uploaded image](/media/?type=post&id=87667&key=user_uploads/1073124/8e9e5f59-9057-4035-a69b-df6835dc3e8c)\n\n### **Accelerate product development and prototypes**\n\nSince Inari is connected to customer data and organizes product context, you can generate deep dives, PRDs, and AI prompts grounded in customer needs in one-click. As AI coding tools improve, a key bottleneck to building better features is task clarity - Inari makes it easy to convert customer context into well-defined prompts that steer AI coding tools in generating prototypes.\n\n![uploaded image](/media/?type=post&id=87667&key=user_uploads/1073124/acafcf7e-5fc9-42d9-afd3-4e0207091582)\n\n### **Get started 💯**\n\n* If your product, engineering, or CX team needs to convert overwhelming volumes of customer data into actionable insights and product opportunities, [get started today](https://app.useinari.com/api/auth/signup) or check out [Inari](http://useinari.com) to learn more.\n* We’d love any feedback and are always down to geek out about product development. [Talk to us](https://cal.com/frank-lee-inari/30min) about your analysis, product discovery, prioritization, or AI prototyping problems so we can build something delightful for you!", "url": "https://www.ycombinator.com/launches/Mnz-inari-your-junior-ai-product-manager", "votes": 21, "created_at": "2025-02-17T18:24:09.722Z" }, { "id": 80084, "title": "🦊 Inari: AI-powered product discovery and feedback analytics", "tagline": "Surface insights and revenue-generating product opportunities from your customer data auto-magically", "body": "Hey YC friends👋🏼 - Frank and Eric here from [Inari](https://useinari.com/)!\n\n## **TL;DR**\n\n[Inari](https://useinari.com/) surfaces customer insights and revenue-generating product opportunities from your customer data auto-_magically_ using AI.\n\nInstead of sifting through 100s of user interviews or 1000s of pieces of customer feedback manually, Inari automates the process of highlighting interesting quotes, identifying trends, uncovering impactful feature requests, and tying helpful prioritization metrics with features so your team can spend less time analyzing and more time building products that customers love. See our [product demo here](https://www.youtube.com/watch?v=vn3AExWP5xA).\n\n## **The Problem**\n\nThe canonical startup advice has always been, \"_go talk to your users._\" However, the process of listening to users, extracting meaningful insights, and figuring out what products to build based on actual customer problems is time-consuming. Most teams fail to make use of their customer data, resulting in missed revenue and higher churn.\n\nTop-performing teams that do talk to users have to spend significant effort manually analyzing and triaging customer feedback, sales convos, and support tickets. It’s tough to actually pull out impactful feature ideas and product opportunities from customer interactions and then persuade your team to prioritize them. Pulling together effective customer anecdotes and convincing prioritization metrics requires a ton of research and analysis.\n\n## **How It Works**\n\nIn the near future when AI makes us 10x more productive with task execution, deeply understanding customer problems and identifying impactful initiatives to take on becomes increasingly important. Inari helps automate the monotonous parts of customer analysis and product discovery across several steps.\n\n**Analyze customer interactions on autopilot**: Inari integrates with customer data sources (like Slack, Salesforce, and Gong), ingests customer interactions (like feedback, support tickets, and sales convos), and then automatically analyzes it all. Inari highlights key quotes, scores sentiment, and then triages feedback to specific teams, saving your product and support teams from having to do it manually.\n\n![uploaded image](/media/?type=post&id=80084&key=user_uploads/1073124/3424c0c3-51ff-4372-96b9-0f77052aec5c)\n\n**Automated accurate insights**: As feedback pours in, Inari clusters it into accurate insights (requests, defects, praises, learnings, competitor mentions) so you can understand what’s top of mind for customers. Each insight comes with volume and sentiment metrics, alerts, and VoC dashboards that automate reporting. You can customize taxonomies and prompts to tailor analysis to your team’s needs.\n\n![uploaded image](/media/?type=post&id=80084&key=user_uploads/1073124/214b1290-e4dd-432d-8d7a-0be12fb8f717)\n\n**Uncover product opportunities**: Inari surfaces potential backlog issues based on customer feature requests or AI-recommended solutions for top customer problems. Every issue auto-links to relevant customer data like deal size, company stage, mention volumes, and specific anecdotes – giving you a 360° view when prioritizing what issues matter most.\n\n![uploaded image](/media/?type=post&id=80084&key=user_uploads/1073124/3f6e8e5e-ebf2-420d-b649-ab3ee0fc453c)\n\n## **Our Asks 🙏🏼**\n\n* If your product, engineering, CX, or sales team wants to convert overwhelming volumes of customer data into actionable insights, VoC reporting, and alerts, you can [get started today here](https://app.useinari.com/api/auth/signup) or check out [useinari.com](http://useinari.com) to learn more.\n* If you’re interested in surfacing product opportunities and generating a 1st draft of your backlog based on customer requests using AI, let’s [chat live](https://calendly.com/frank-xu8/chat-with-frank-inari) or email [frank@useinari.com](mailto:frank@useinari.com) so I can onboard your team as design partners.\n* We’d love any feedback and are always down to geek out about product development. Talk to us about your analysis, product discovery, or prioritization problems so we can build something delightful for you!", "url": "https://www.ycombinator.com/launches/Kpg-inari-ai-powered-product-discovery-and-feedback-analytics", "votes": 39, "created_at": "2024-04-10T22:50:35.177Z" }, { "id": 73813, "title": "🦊 Inari: AI-Powered Customer Insights Hub", "tagline": "Customer feedback that analyzes itself ✨. Unify your feedback then automatically analyze and generate product insights at scale.", "body": "## **TL;DR**\n\n[**Inari**](https://useinari.com/) is the AI-powered hub for unifying customer feedback and generating product insights. Instead of sifting through 100’s of pages of user interviews or 1000’s of pieces of customer feedback manually, you can use Inari to consolidate customer feedback across data sources, automatically highlight useful quotes, categorize sentiment, and generate insights. You can use this data to understand what’s on your customer’s minds, figure out which themes will boost engagement and retention, then prioritize your roadmaps.\n\n**If any product, UX research, design, support, or other teams want an automated way to analyze customer themes, requests, quotes, and other insights for planning, triaging requests, and other use cases - let us know and we’d love to get this live for you (**[**frank@useinari.com**](mailto:frank@useinari.com)**)!**\n\n## **The Problem(s)**\n\n* Product, design, and engineering teams rely on feedback and research data for insights and empathy for building products people love. However, this data lives across several sources like Salesforce, Zendesk, customer interviews living in PDFs, and data sitting in CSVs so it’s tough to maintain a 360-degree view of opportunities to improve customer experience.\n* It’s time consuming to manually sift through, analyze, and tag customer feedback data to be used for roadmap and feature planning. Having to deal with and endless amount of copying and pasting feedback + fiddling with context limits in ChatGPT and Claude is also mind-numbing. We had several designers and UX researchers come inbound saying they have to sift through 100+ pages of customer research transcripts for themes 🤯.\n* It’s hard to know the exact volume of customers that are mentioning a specific problem or topic and having this data on hand is critical for sizing magnitude for problems when deciding what features or themes to prioritize.\n\n## **How It Works**\n\n**Consolidate feedback in one place**: Sales notes, user interviews, Slack requests, CSVs with customer feedbacks... unify them all in Inari. Inari ingests feedback from unstructured and structured sources, consolidates them into a unified hub, then provides a streamlined workflow to manage it all.\n\n![uploaded image](/media/?type=post&id=73813&key=user_uploads/1073124/2af2e6fe-cd27-440c-9b01-04280bc2bd08)\n\n**Automate feedback analysis**: Inari automatically analyzes customer sentiment and highlights top requests, defects, praises, and learnings across your customer feedback and interviews so your team doesn't have to review hundreds of sources manually.\n\n![uploaded image](/media/?type=post&id=73813&key=user_uploads/1073124/e23cb606-4066-4836-9a8e-d0f31088949c)\n\n**Surface product insights automatically**: Reduce churn and build delightful products based on insights, feature requests, bug fixes, and learnings that Inari extracts from connected feedback. Inari attributes insights to the feedback most related to it, so you can size how frequently an issue is mentioned when prioritizing your backlog.\n\n![uploaded image](/media/?type=post&id=73813&key=user_uploads/1073124/5b4dc325-9975-4d3c-8dc6-1ec5faa5bdb1)\n\n**Visualize customer trends**: Search, filter, and monitor trends in dashboards built on your consolidated feedback, insights, and customer data.\n\n![uploaded image](/media/?type=post&id=73813&key=user_uploads/1073124/735992d9-bf16-4b47-b3bd-ae79590a1e7e)\n\nCheck out the quick product demo [here](https://www.youtube.com/watch?v=N91aAfrWZ4E&t=5s).\n\n## **Founder Background**\n\nFrank and Eric met back in 2014 while working together at Amazon. Eric worked @ AWS for 7 years building out Sagemaker, owned their XGBoost image, and deployed algos for the US government before transitioning to full-stack eng for securely managing health and bio data @ Betteromics. Frank worked on ML algorithms an interfaces @ Opendoor between 2016-2020 and managed products like NBA Top Shot + business intelligence teams @ Dapper Labs and Amazon.\n\n## **Our Asks 🙏🏼**\n\n* If you know any teams struggling with extracting takeaways from their feedback data, whether it’s thousands of structured feedback from Zendesk or a few 10 page customer interview transcripts, send them our way and we’d love to help them out! Reach us at [frank@useinari.com](mailto:frank@useinari.com) or [eric@useinari.com](mailto:frank@useinari.com).\n* We’d love any feedback! Especially around how your team is currently managing feedback and roadmap items, any frustrations, and which datasets you need handled.", "url": "https://www.ycombinator.com/launches/JCX-inari-ai-powered-customer-insights-hub", "votes": 34, "created_at": "2023-08-04T14:55:51.908Z" } ] }, { "id": 29008, "name": "Andromeda Surgical", "slug": "andromeda-surgical", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ad29152e507992c17de56b3d0a62d1fd6769fd3b.png", "website": "http://www.andromedasurgical.com", "all_locations": "San Francisco, CA, USA", "long_description": "We're building autonomous robots to make surgery safe, easier and more efficient. Robots currently perform about 1/4 of surgeries but only help with the physical aspects. We use AI to make surgery cognitively easier. This has far greater potential to improve outcomes and reduce costs. Founded by 3x founders from medtech and autonomous vehicles, we're on track to be the fastest surgical robot to market of all time. First indication is prostate enucleation.", "one_liner": "Autonomous surgical robots", "team_size": 12, "industry": "Healthcare", "subindustry": "Healthcare -> Medical Devices", "launched_at": 1684515035, "tags": [ "Hard Tech", "Machine Learning", "Medical Robotics", "Medical Devices", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Medical Devices" ], "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/andromeda-surgical", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/andromeda-surgical.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "http://linkedin.com/company/andromeda-surgical", "x_url": "https://twitter.com/andromedasurg", "fb_url": "http://facebook.com/andromedasurgical", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ad29152e507992c17de56b3d0a62d1fd6769fd3b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 4171, "full_name": "Nick Damiano", "title": "Founder", "founder_bio": "First YC medtech founder and only 2x YC medtech founder; \nCo-founder & CEO @ Andromeda Surgical S23;\nFounder & CEO @ Zenflow W15 - treated > 300 patients so far, Class 3 FDA approval, raised > $100M;\nCo-founder & CTO @ Avail MedSystems (f.k.a. Nurep, acq. by Mendaera) - launched in 1000 hospitals, raised $120M;\nVenture Partner @ Pioneer Fund;\nStanford Biodesign Innovation Fellow & Stanford MS/BS;\nGeneralist/SW engineer;\nDad to two daughters;\nSemicolon enthusiast;", "is_active": true, "linkedin_url": "https://linkedin.com/in/nickdamiano", "x_url": "https://x.com/nickdamian0", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d66722f33e37245caa7dd8f7da2e5ab43158e9a5.jpg" }, { "user_id": 37368, "full_name": "Kartik Tiwari", "title": "Founder", "founder_bio": "Background in robotics\n3x technical founder, 2x YC founder\nLed the team at Starsky Robotics to become the first in the world to have a driverless truck on a public road", "is_active": true, "linkedin_url": "https://www.linkedin.com/profile/public-profile-settings?trk=prof-edit-edit-public_profile", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a6e5d0daa20f47f66ea411a42df32eb0df8fac6a.jpg" } ], "jobs": [ { "id": 62175, "title": "Robotics Controls Engineer", "url": "https://www.ycombinator.com/companies/andromeda-surgical/jobs/EiC4MLO-robotics-controls-engineer", "location": "South San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$150K - $250K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "C++", "Python" ] }, { "id": 66541, "title": "Senior Software engineer", "url": "https://www.ycombinator.com/companies/andromeda-surgical/jobs/0NF6Ie3-senior-software-engineer", "location": "South San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $250K", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 80395, "title": "UX Designer", "url": "https://www.ycombinator.com/companies/andromeda-surgical/jobs/dTs6gll-ux-designer", "location": "South San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$150K - $250K", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 83839, "title": "Lead Hardware Engineer", "url": "https://www.ycombinator.com/companies/andromeda-surgical/jobs/93sD4oD-lead-hardware-engineer", "location": "South San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$140K - $200K", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Arduino", "Python", "Linux", "CAD Design" ] }, { "id": 108088, "title": "Machine Learning Engineer", "url": "https://www.ycombinator.com/companies/andromeda-surgical/jobs/l9lWEvX-machine-learning-engineer", "location": "South San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Python", "Torch/PyTorch", "Machine Learning", "Data Modeling" ] } ], "news": [], "launches": [ { "id": 74646, "title": "Andromeda Surgical: Autonomous surgical robots 🦾🏥", "tagline": "Autonomous robots that use AI to elevate every surgeon to world expert level and deliver consistently great patient outcomes", "body": "tl;dr: We’re [Andromeda Surgical](https://andromedasurgical.com/) and we’re building autonomous surgical robots. We’re a team of two 3x founders and 2x YC founders from medtech and autonomous vehicles. Our AI-assisted robots will empower every surgeon to operate at world expert level for every procedure, every time, with minimal training. We’re starting with a proven urologic procedure that can treat over half a million patients per year in the US alone.\n\n \n\n**About Us**\n\nHi everyone, we’re Nick and Kartik, the co-founders of Andromeda Surgical. Nick has founded medtech companies collectively worth over $1 billion whose products are used in over 1,000 medical facilities. Kartik led the team that built and launched the world’s first autonomous truck to operate driverless on US highways. We were both YC alums before this batch, Nick with Zenflow (W15) and Kartik with Starsky Robotics (S16). We met through [YC Co-Founder Matching](https://www.ycombinator.com/cofounder-matching) and realized we could apply the same principles underlying self-driving vehicles to fundamentally change how surgery is performed.\n\n![uploaded image](/media/?type=post&id=74646&key=user_uploads/4171/baf84b2c-4724-43aa-b88d-fc1980e4a389)\n\n\n**Problem**\n\nHuman mental and physical capabilities limit surgical outcomes. Existing surgical robotics companies focus almost exclusively on solving the physical challenges, making surgical movements more ergonomic and precise. These improvements alone have revolutionized surgery and spawned a large and fast-growing industry, led by [Intuitive Surgical](https://www.intuitive.com/en-us) ($108 billion market cap). Surgeons love to use these products and patients eagerly sign up for robotic procedures.\n\nDespite the proliferation of robotics in surgery, the clinical need to reduce complication rates remains largely unmet. Almost one third of patients undergoing surgery experience complications, and 8% experience major complications \\[1\\]. Many surgeons have told us they blame themselves for sub-optimal outcomes, and this adds significant stress to their lives. As AI becomes more powerful, it offers tremendous potential to improve surgical decision making and reduce complication rates.\n\n**Our Solution**\n\nAndromeda uses AI to augment surgeons’ mental and cognitive faculties. We’re starting with a common prostate procedure that can treat over half a million patients per year and has better outcomes than all alternatives. Its steep learning curve limits the number of urologists who can perform it. The procedure is algorithmically simple, but it’s hard for urologists to know exactly where they are and what they’re seeing, resulting in mistakes and delays. We’ve designed a GPS-like location system to help surgeons accurately orient themselves and perform the best possible action in every moment.\n\n![uploaded image](/media/?type=post&id=74646&key=user_uploads/4171/e37dbeac-932f-42bc-b896-954c0c4c0fcb)\n\nAfter launching, we’ll expand into other urologic procedures and then beyond. Whereas most surgical robots focus on multi-port laparoscopic procedures, we’re starting with natural orifice procedures that tend to be less mechanically complex. We’re a hardware-lite company and built our simple yet versatile robot in just three months. The main value we’ll provide is in our software. Our long-term vision is to enhance all surgeons’ abilities with AI, empowering them to perform a broad range of procedures at expert level and deliver consistently optimal outcomes to patients.\n\n**Asks**\n\n·      We’re hiring robotics and HRI/industrial design engineers\n\n·      We’re looking to meet urologists who can partner with us on data collection and future clinical trials\n\nPlease reach out at [info@andromedasurgical.com](mailto:info@andromedasurgical.com) if you’re interested to help us build the future of surgery.\n\n\\[1\\] ", "url": "https://www.ycombinator.com/launches/JPy-andromeda-surgical-autonomous-surgical-robots", "votes": 46, "created_at": "2023-09-06T13:49:39.308Z" } ] }, { "id": 29010, "name": "Silimate", "slug": "silimate", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/61f4bbb4f45487fb9514316eae7b6e1b1c316a4a.png", "website": "https://www.silimate.com", "all_locations": "San Francisco, CA, USA", "long_description": "We're building AI-native tools & agent-driven workflows for frontend chip design. \r\n\r\nToday, Fortune enterprises and chip unicorns license Silimate to hit their PPA targets and functional closure in days instead of months. With Silimate, chip companies tape out better, more market-competitive chips much more quickly.", "one_liner": "Fast, efficient agents for chip design and debug", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1691095117, "tags": [ "Developer Tools", "B2B", "Enterprise Software", "Semiconductors", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "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/silimate", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/silimate.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/silimate", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Silimate", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/61f4bbb4f45487fb9514316eae7b6e1b1c316a4a.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": 1313634, "full_name": "Ann Wu", "title": "Founder", "founder_bio": "Co-founder & CEO of Silimate. Ann designed several generations of custom silicon at Apple, helped manage the inference ASIC programs at Meta, and developed product strategy & execution at an AI chip start-up.", "is_active": true, "linkedin_url": "https://linkedin.com/in/annwuhoo", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dfc547915f4496607e7258cfc4e7e599b544c122.jpg" }, { "user_id": 1184182, "full_name": "Akash Levy", "title": "Founder", "founder_bio": "Co-founder & CTO of Silimate. Akash has a PhD from Stanford in Electrical Engineering, with technical expertise spanning EDA, AI, and cloud through his time at Synopsys, NVIDIA, and AWS. He has taped out 3 chips, published 14 papers on circuit design, and has two pending patents in the EDA space.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/akashlevy/", "x_url": "https://twitter.com/akashlevy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fda997887e28bf5a1fcf455cfa51c65aaeb83b89.jpg" } ], "jobs": [ { "id": 102953, "title": "Chip/EDA/Software Intern", "url": "https://www.ycombinator.com/companies/silimate/jobs/6CTGk7H-chip-eda-software-intern", "location": "Mountain View, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$5.2K - $7K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 102954, "title": "Applied AI Engineer", "url": "https://www.ycombinator.com/companies/silimate/jobs/RVX3ulq-applied-ai-engineer", "location": "Mountain View, CA, US / San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$140K - $220K", "equity_range": "0.50% - 2.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 102955, "title": "Chip/Software Engineer", "url": "https://www.ycombinator.com/companies/silimate/jobs/kxgYCET-chip-software-engineer", "location": "Mountain View, CA, US / San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $220K", "equity_range": "0.50% - 2.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 102956, "title": "Applied AI Intern", "url": "https://www.ycombinator.com/companies/silimate/jobs/xt2UihN-applied-ai-intern", "location": "Mountain View, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$5.2K - $7K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 102957, "title": "AI Research Intern", "url": "https://www.ycombinator.com/companies/silimate/jobs/BUbLN9M-ai-research-intern", "location": "Mountain View, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$5.2K - $7K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Preparing For AI-Driven Chip Design And Verification", "url": "https://semiengineering.com/preparing-for-ai-driven-chip-design-and-verification/", "date": "Jul 27, 2026" }, { "title": "AI In Chip Design: Lots Of Promise, Plenty Of Unanswered Questions", "url": "https://semiengineering.com/ai-in-chip-design-lots-of-promise-plenty-of-unanswered-questions/", "date": "Jul 15, 2026" }, { "title": "Executive Outlook: Agentic AI's Impact On Chip Design", "url": "https://semiengineering.com/executive-outlook-agentic-ais-impact-on-chip-design/", "date": "Jun 25, 2026" }, { "title": "Agentic AI and the Future of Chip Design: From Productivity Tool to Engineering Partner - SemiWiki", "url": "https://semiwiki.com/semiconductor-services/esd-alliance/370229-agentic-ai-and-the-future-of-chip-design-from-productivity-tool-to-engineering-partner/", "date": "Jun 15, 2026" }, { "title": "Silimate CEO pioneers AI debugger for chip designers", "url": "https://stanforddaily.com/2026/03/11/silimate-ceo-pioneers-ai-debugger/", "date": "Mar 11, 2026" } ], "launches": [ { "id": 73953, "title": "👾 Silimate - Copilot for chip designers", "tagline": "Design the right semiconductors chips in less time", "body": "**TL;DR: Silimate helps chip teams converge to functional correctness and optimized PPA faster, so that they can build better chips in less time.**\n\n# \n\n# **❌ The Problem**\n\nThe world needs specialized semiconductor chips to be built faster for the rapidly-evolving software workloads in datacenters and at the edge.\n\nYet, chip teams today face time- and effort-intensive bottlenecks in converging to functional correctness and optimized PPA (power/performance/area). These bottlenecks account for most of the typical 12-18 month chip development cycle, and impede chip teams’ ability to make important changes to their designs in late project stages — when real, data-driven issues tend to surface from simulations.\n\n# \n\n# **✨ Our Solution**\n\nSilimate finds functional bugs, predicts PPA issues, and recommends real fixes in real-time alongside RTL development. Chip designers get a context-aware RTL companion that helps them write correct, PPA-optimized RTL from the onset, and build better chips in less time.\n\n**We’re live with chip design teams today.**\n\nIf you’re a chip designer or lead a chip design team, we can help you eliminate weeks/months from your design cycles. Reach out to us to schedule a live demo!\n\n# \n\n# **🌎 Why Now**\n\nDeath of Moore’s Law, an explosion of custom chip architectures, geopolitics, talent shortage, massive demand for AI chips, and increasing complexities in advanced chip design – we’re building the critical pickaxe for the AI and edge [silicon renaissance](https://www.forbes.com/sites/robtoews/2020/05/10/artificial-intelligence-is-driving-a-silicon-renaissance/?sh=3566b040553c).\n\n# \n\n# **👋 Contact us at [hello@silimate.com](mailto:hello@silimate.com) to learn more!**\n\n* If you’re a chip designer or lead a chip design team, email us – we’ll help speed up your RTL development cycles.\n* If you’re not a chip designer but know one (or a few), send them our way!", "url": "https://www.ycombinator.com/launches/JEn-silimate-copilot-for-chip-designers", "votes": 65, "created_at": "2023-08-09T16:29:19.599Z" } ] }, { "id": 29013, "name": "Sweep", "slug": "sweep", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/885d2be670d352a8d396403e926005fd75ce210b.png", "website": "https://sweep.dev/", "all_locations": "San Francisco, CA, USA", "long_description": "Use your favorite JetBrains IDE without compromising on AI. Sweep is the best autocomplete and agent in JetBrains: https://plugins.jetbrains.com/plugin/26860-sweep-ai", "one_liner": "The best AI coding assistant for JetBrains", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1684527271, "tags": [ "Developer Tools", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "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/sweep", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sweep.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/95674114/", "x_url": "https://twitter.com/sweep__ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/sweepai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/885d2be670d352a8d396403e926005fd75ce210b.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": 1214046, "full_name": "William Zeng", "title": "Founder", "founder_bio": "Youngest senior MLE at Roblox. Cumulative 10% CTR lift on games search.\nStats/ML at CMU.\n\nBuilding Sweep, a Cursor alternative for JetBrains.", "is_active": true, "linkedin_url": "https://linkedin.com/in/william-zeng", "x_url": "https://twitter.com/wwzeng1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6ea14a52703b3d5d1bc15d010a715f0a74723845.jpg" }, { "user_id": 1343086, "full_name": "Kevin Lu", "title": "Founder", "founder_bio": "Previously: top of class at UWaterloo CS, built the first ML-based skin weight generation model for UGC avatars at Roblox, and NLP researcher on common sense reasoning (in the Bart/T5 era). Now building an AI-powered junior dev and interested in code gen and automated code gen orchestration.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kevinlu1248", "x_url": "https://twitter.com/kevinlu1248", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d02bf268302d4c204515d4fc779599313b25875c.jpg" } ], "jobs": [ { "id": 65798, "title": "ML Research Engineer (Full-time / Internship)", "url": "https://www.ycombinator.com/companies/sweep/jobs/8dUn406-ml-research-engineer-full-time-internship", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $300K", "equity_range": "1.00% - 4.97%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Kotlin", "Python", "Machine Learning" ] } ], "news": [ { "title": "Sweep aims to automate basic dev tasks using large language models | TechCrunch", "url": "https://techcrunch.com/2023/11/02/sweep-aims-to-automate-basic-dev-tasks-using-large-language-models/", "date": "Nov 02, 2023" } ], "launches": [ { "id": 95289, "title": "🧹 Sweep: Cursor Tab for JetBrains IDEs", "tagline": "Meet Sweep, the smartest autocomplete for IntelliJ, PyCharm, and Android Studio", "body": "Hi everyone! We’re [Kevin](https://x.com/kevinlu1248) and [William](https://www.linkedin.com/in/william-zeng/), and we’re building a better AI autocomplete for JetBrains.\n\n**TLDR;** [Sweep](https://sweep.dev/) is a free autocomplete plugin for IntelliJ / PyCharm that is smarter than Cursor Tab.\n\n![uploaded image](/media/?type=post&id=95289&key=user_uploads/1214046/931362f2-24b9-4d5b-aa4b-778cd98aacbc)\n\n# The Problem\n\nDevelopers writing production-grade code need tools like autocomplete that keep them in the loop rather than agents that take them out of it.\\\n\\\nJetBrains users don’t have an AI autocomplete that works well. The leading plugins are not products that users love:\n\n![uploaded image](/media/?type=post&id=95289&key=user_uploads/1214046/f78574aa-2dfe-4d58-82a5-a284b8ca1147)\n\n![uploaded image](/media/?type=post&id=95289&key=user_uploads/1214046/72d4698c-42be-404b-9d1b-9b6d9869d201)\n\n# Our Solution: Sweep 🧹\n\nWe’re building tools for professional developers using JetBrains, starting with super fast autocomplete that’s smarter than Cursor Tab.\\\n\\\nWe’ve fine-tuned our own LLM with a custom inference stack that suggests completions with sub-100ms latency. Unlike Cursor, we use the JetBrains code index to let our autocomplete model navigate your code like a real developer.\n\nWe’ve heard great feedback so far:\n\n_“AI is finally useful inside JetBrains — thanks to sweep. **A million times better than JetBrains’ own tools.**” -_ Christiaan Bilthof, CTO @ Leat\n\n_“Compared to every other tool and IDE I've used, **it's incredibly fast** - so much so that the next tab predictions and autocomplete feel instantaneous.” -_ Ashkan Aghdai, Staff Engineer @ Amplitude\\\n\\\n_“I used to have to choose between using PyCharm and good autocomplete - but with Sweep, I get both. **It’s a massive productivity boost.**”_ **-** Josiah Parappally, Staff Engineer @ Ramp\n\n## Why we built Sweep\n\nWe originally started Sweep in 2023 to build an AI junior developer, which hit 7.6k stars on GitHub.\n\nWe soon realized that this was many years out. Instead, we decided to build a coding assistant that developers could use today. Kevin and I have been JetBrains users since we were in college, and we were surprised something like this didn’t exist yet.\n\nWe built Sweep for ourselves, and use Sweep Tab hundreds of times a day to write production-grade code instead of vibe coding. It’s boosted our productivity by 2x and we hope you like it too. \\\n\\\nTry Sweep for free here: https://plugins.jetbrains.com/plugin/26860-sweep-ai-autocomplete--coding-agent", "url": "https://www.ycombinator.com/launches/Omv-sweep-cursor-tab-for-jetbrains-ides", "votes": 12, "created_at": "2025-11-07T17:26:45.064Z" }, { "id": 88553, "title": "Sweep: JetBrains AI Coding Assistant", "tagline": "We built a self-hostable AI coding assistant for JetBrains IDEs", "body": "Hey everyone, we’re [William](https://www.linkedin.com/in/william-zeng/) and [Kevin](https://www.linkedin.com/in/kevinlu1248/) - cofounders of Sweep 🧹\n\n\\\n**TLDR**: JetBrains developers have to choose between **the latest AI features** **and the** **IDE that they love**. Sweep is an AI coding assistant purpose-built for JetBrains that **gives you both**.\n\nAsk: Is your team using JetBrains? Reach out at [william@sweep.dev](mailto:william@sweep.dev) or [book a demo here](https://calendly.com/william-sweep/introductory-call?month=2025-03).\n\n# Problem\n\nCurrent AI coding assistants have poor support for JetBrains. GitHub Copilot in JetBrains is a far cry from VSCode, and other plugins aren’t much better.\\\n\\\nWe’ve heard:\n\n_“I love the features in JetBrains as an IDE but the AI sucks”_\n\n_“I see all of these AI coding assistants on VSCode, and I check if they support JetBrains, and I always get disappointed when they don’t.”_\n\nEngineers who don’t use AI coding assistants are less productive. But engineers who have to switch away from their IDEs are even less productive.\n\n# Solution\n\nSweep makes it easy to use AI in JetBrains with our self-hostable plugin. **Engineers keep their existing code editor with no data leakage and the** **best AI features**.\\\n\\\nWe make it seamless to give the AI context. Sweep automatically sees the current file and codebase, saving you precious clicks.\n\n![uploaded image](/media/?type=post&id=88553&key=user_uploads/1214046/6211a915-8ad9-480b-8aa9-7389f4e99fbb)\n\nBy clicking “apply” you can seamlessly review and integrate Sweep’s code changes.\n\n![uploaded image](/media/?type=post&id=88553&key=user_uploads/1214046/a4ff0a2c-7b7a-48dc-9507-9785c19e0020)\n\nFinally, we can **deploy everything on-prem**, unlike other AI coding assistants that take your code and data.\n\n# Our Ask 🙏\n\n**Sweep is available on the JetBrains marketplace today.** Try us out here: [docs.sweep.dev](http://docs.sweep.dev).\\\nTo learn more about our on-prem deployments you can [book a call here](https://calendly.com/william-sweep/introductory-call?month=2025-03).\n\n# About Us\n\nWilliam (CEO) was promoted to a Senior ML Engineer at Roblox in 1.5 years. Kevin (CTO) was the top student in his class at U Waterloo for Math and CS. Martin (Founding Team) was working as a Senior Engineer before he graduated college.\n\nWe’re all big IntelliJ and PyCharm users, and we previously built an AI coding agent with >7k github stars.\n\n![uploaded image](/media/?type=post&id=88553&key=user_uploads/1214046/e0e011e5-25b6-4c72-9ecd-bd9262ee905a)\n\n![uploaded image](/media/?type=post&id=88553&key=user_uploads/1214046/85da6a03-4c5b-4961-9bd2-656ba38c4dbc)\n\n", "url": "https://www.ycombinator.com/launches/N2H-sweep-jetbrains-ai-coding-assistant", "votes": 31, "created_at": "2025-03-13T03:43:07.329Z" } ] }, { "id": 29018, "name": "sudocode", "slug": "sudocode", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/977767259425ed1273851af858b9587fd34772e4.png", "website": "https://sudocode.ai", "all_locations": "San Francisco, CA, USA", "long_description": "sudocode automates the logistics of managing context windows and orchestrating agents so you can direct the work instead of babysitting agents.\r\n\r\nFully open-source. Try it at sudocode.ai or https://github.com/sudocode-ai/sudocode", "one_liner": "orchestrate your coding agents with sudocode", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1687023679, "tags": [ "Developer Tools", "Generative AI", "AI" ], "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/sudocode", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sudocode.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sudocode-ai/", "x_url": "https://twitter.com/sudocode_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/sudocode", "github_url": "https://github.com/sudocode-ai/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/977767259425ed1273851af858b9587fd34772e4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ba949df071f8f402a60d6c63d2c364828f1de692.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5c9c55214c670a6e435440369b817fb5f11951c8.png" ], "primary_partner": null, "founders": [ { "user_id": 1109659, "full_name": "Randy Song", "title": "Founder", "founder_bio": "Helped scale the Fintech team from 5 to over 100 engineers. During my tenure, I was responsible for scaling payments to over 10M transactions per day.\n\nNow I build tools to handle context management so people don't have to wrangle their coding agents all day.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/randy-song/", "x_url": "https://twitter.com/ssh_randy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/795b9ddb2be048ac341ea475d925f405b640bb03.jpg" }, { "user_id": 1384749, "full_name": "Alex Ngai", "title": "Founder", "founder_bio": "Previously an engineer in AI research at Google Brain, GoogleX, then Mineral working on perception, NLP, and autonomous agents. Currently improving how we build software with autonomous code generation at sudocode (S23).", "is_active": true, "linkedin_url": "https://linkedin.com/in/alexngai", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f662096950cee601e228e410d932526d0002aee5.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 29019, "name": "Sendblue", "slug": "sendblue", "former_names": [ "Round One", "Raz", "Sendblue", "Raz" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c34e2e7cee5cb8a890e2123c1f9f8621bd9f7e45.png", "website": "https://www.sendblue.com", "all_locations": "New York City, NY, USA", "long_description": "Sendblue provides businesses with virtual iMessage lines to text prospects and nurture leads. Our users on average see a 70% increase in response rate. The company is founded by Rob Haber, former ML Engineer at Scale AI, and Alex Luis, former PM at PwC's telecom practice.", "one_liner": "iMessage for Sales", "team_size": 50, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1691623440, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sendblue", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sendblue.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/send-blue/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c34e2e7cee5cb8a890e2123c1f9f8621bd9f7e45.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1379612, "full_name": "Rob Haber", "title": "Founder", "founder_bio": "Co-founder and CEO of Sendblue. Former ML Engineer at Scale AI, and before that worked at Amazon, Regeneron and his own beef jerky company.", "is_active": true, "linkedin_url": "https://linkedin.com/in/rob-haber", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6f4590da4ac09d199f4b7435caa29ec3a7e555d4.jpg" }, { "user_id": 1382168, "full_name": "Alex Luis", "title": "Founder", "founder_bio": "Alex, a former sumo wrestler born in Tokyo, was a PM and consultant at PwC's telecom practice. There, he worked with emerging technologies like 5G, NFTs, and IoT. He's now a Co-founder @ sendblue and lives in NYC.\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/alex-luis", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ba117da683e3947969bad9c74e19905438143bfe.jpg" } ], "jobs": [ { "id": 75496, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/sendblue/jobs/ecQWurX-account-executive", "location": "New York, NY, US / Remote (US)", "type": "Contract", "role": "Sales", "role_type": null, "salary_range": "$210K - $260K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 88475, "title": "Director of Marketing", "url": "https://www.ycombinator.com/companies/sendblue/jobs/4VOCVKv-director-of-marketing", "location": "New York, NY, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$210K - $225K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 90167, "title": "Senior Full-Stack Engineer", "url": "https://www.ycombinator.com/companies/sendblue/jobs/9Ha0Cf2-senior-full-stack-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$160K - $210K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Express", "Node.js", "React", "Next.js" ] } ], "news": [], "launches": [ { "id": 74000, "title": "Raz: Next-generation AI forms", "tagline": "Collect deeper insights with forms that users can fill out by having a conversation", "body": "**TL;DR**\n\nBusinesses use Raz to build interactive and personalized forms. Our AI-powered follow-up questions and semantic analysis provide businesses with actionable insights for constant improvement.\n\n💪 **Our Team**\n\nHi everyone! We are Rob and Alex, the co-founders of Raz.  \n\n![uploaded image](/media/?type=post&id=74000&key=user_uploads/1379612/47331463-94a6-45c8-9eb1-d6540b8d9207)\n\nWe met on our high school tennis team 10 years ago and have remained friends ever since. \n\nRob got his MS in AI at Carnegie Mellon after working at Regeneron, Amazon, and his own beef jerky company. His last role was as a Machine Learning Engineer at Scale AI, where he trained LLMs for their enterprise customers. \n\nAlex, a former sumo wrestler born in Tokyo, was a consultant on PwC's Customer Service and Advocacy team. There, he worked with emerging technologies like 5G and later went on to become the youngest PM at the firm.\n\n**❌ The Problem**\n\nWhile at PwC, Alex saw firsthand how businesses were losing customers due to a lack of understanding of the user experience. Many companies would attempt to learn from users by sending them a **generic form**, often failing to receive actionable insights. Since forms are static, they lack the ability to probe deep into user experiences, leading to shallow responses that often leave companies with more questions than answers.\n\n**✅ Our Solution**\n\nBy enabling forms to **leverage context** when asking questions, Raz makes them more engaging and personalized, helping to get answers to the burning questions businesses have. When a user answers with an ambiguous response, Raz will rephrase the question or delve into an aspect of their response.\n\n![uploaded image](/media/?type=post&id=74000&key=user_uploads/1379612/255ef80e-84df-433c-b441-cde8d6a084f2)\n\nForms are used extensively across business operations – from feedback surveys to hiring applications to lead qualification – creating an opportunity for companies to significantly enrich data collection using Raz.\n\nSince Raz can chat with users, it can be deployed over SMS and voice calls – prime channels due to their high engagement. We make this process as simple as **one click**. Rather than sending an SMS with a link to a survey, we offer a native SMS experience that feels like chatting with a company representative.\n\nBelow is an example of an SMS hiring form for a food delivery courier created with Raz. For open-ended questions, companies can enable AI to dig deeper into applicants' answers. Raz can even simulate the conversation to show how it could progress.\n\n![uploaded image](/media/?type=post&id=74000&key=user_uploads/1379612/3e091767-6e9a-425f-a811-bcb25a9db738)\n\nAfter users complete the forms, Raz provides businesses with the responses, in addition to an analysis that highlights important themes and relevant insights.\n\n🙌 **Our Asks**\n\n* Share with anyone looking to unlock richer insights from users or anyone using forms in their product as a means to collect data\n* Book time with us [here](https://calendly.com/robhaber/raz?month=2023-08&date=2023-08-08) or reach out to [founders@tryraz.com](mailto:founders@tryraz.com) to learn more about Raz\n* Check out our website at [tryraz.com](http://tryraz.com) \n* Follow us on [LinkedIn](https://www.linkedin.com/company/91126064/admin/feed/posts/)", "url": "https://www.ycombinator.com/launches/JFY-raz-next-generation-ai-forms", "votes": 146, "created_at": "2023-08-10T17:00:22.097Z" } ] }, { "id": 29021, "name": "Fragment", "slug": "fragment", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5c8b4429b10b626942c8c5c8e54d76dec8370ec5.png", "website": "https://checkfragment.com", "all_locations": "", "long_description": "Fragment’s premise is that every company using AI will need humans in the loop, and software for the handoff between AI and humans.\r\n\r\nWe start by helping operations teams in fintech companies with task management for their manual processes (onboarding, compliance…). Building on top of this, we make it easy to increase automation by adding a layer of human supervision.", "one_liner": "Turn manual operations into scalable processes", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1687993890, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Operations" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/fragment", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/fragment.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/checkfragment", "x_url": "https://twitter.com/checkfragment", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5c8b4429b10b626942c8c5c8e54d76dec8370ec5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/39c1bc0a29ca4215c98523e392aaf5716a2b89f6.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 736701, "full_name": "Olivier Moindrot", "title": "Founder", "founder_bio": "Co-founder & CEO at Fragment, helping to accelerate AI adoption at every company.\nPreviously created and led the AI team at MetaMap, a series B startup. There, my co-founder Guillaume and I built internal tools to process 1M identity verifications per month, with a mix of automation and 300 human agents.\nEngineer by training, graduated from Polytechnique (was ranked first at the entrance exam) and Stanford.", "is_active": true, "linkedin_url": "https://linkedin.com/in/omoindrot", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5d6d39d3730c6d025cf3d2cd93056e7d1a15cda5.jpg" }, { "user_id": 1149824, "full_name": "Guillaume Genthial", "title": "Founder", "founder_bio": "CTO @ Fragment, helping operations teams in FinTechs and InsurTech.\nPreviously led the AI team of a KYC provider, developed software for human / AI workflows.\nAs an engineer, I've worked on LLMs for healthcare, ad recommendation systems at scale @ Criteo, and OCR.", "is_active": true, "linkedin_url": "https://linkedin.com/in/guillaumegenthial", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2f823579109af213ef23fcdca769198a8c04f656.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 29026, "name": "SyntheticFi", "slug": "syntheticfi", "former_names": [ "Cyclone", "devmark" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/21cd7289472fa982f68b9ab59329eb2acf583e66.png", "website": "https://www.syntheticfi.com/", "all_locations": "San Francisco, CA, USA", "long_description": "SyntheticFi is the cheapest way to borrow money. We partner with independent financial advisors (RIAs) to meet the liquidity needs of their clients.", "one_liner": "The cheapest way to borrow money", "team_size": 25, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1688426619, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Fintech" ], "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/syntheticfi", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/syntheticfi.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/syntheticfi/", "x_url": "https://x.com/SyntheticFi_SF", "fb_url": "https://www.facebook.com/syntheticfi/", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/21cd7289472fa982f68b9ab59329eb2acf583e66.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": 1351685, "full_name": "Tony Yang", "title": "Founder", "founder_bio": "CEO and co-founder of SyntheticFi: cheapest way to borrow money.\n\nPrior to starting SyntheticFi, Tony was a senior software engineer at Stripe. During his time at Stripe, Tony used the box spread strategy to purchase his house. That became the inspiration for Tony to start SyntheticFi and democratize its access. Tony graduated as a double major in CS and Philosophy from UC Berkeley.", "is_active": true, "linkedin_url": "https://linkedin.com/in/yucheng-tony-yang", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ffdeb308d341b25bce009ae14367eab8f830f7b.jpg" } ], "jobs": [ { "id": 96169, "title": "Operations Associate", "url": "https://www.ycombinator.com/companies/syntheticfi/jobs/l1nEpDf-operations-associate", "location": "US / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$65K - $85K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "SyntheticFi Raises $13M and Exceeds $2B in Regulatory AUM", "url": "https://www.businesswire.com/news/home/20260609454833/en/SyntheticFi-Raises-%2413M-and-Exceeds-%242B-in-Regulatory-AUM", "date": "Jun 08, 2026" }, { "title": "Inside a tax-smart borrowing tool for risk-tolerant clients | Financial Planning", "url": "https://www.financial-planning.com/news/inside-a-tax-smart-borrowing-tool-for-risk-tolerant-clients", "date": "Feb 17, 2026" }, { "title": "Box Spreads As A Borrowing Alternative To Margin Loan, SBLOC", "url": "https://www.kitces.com/blog/box-spreads-borrowing-alternative-margin-loans-sblocs-heloc/", "date": "Feb 11, 2026" }, { "title": "Affluent Investors Are Using Options Math To Borrow On The Cheap", "url": "https://www.fa-mag.com/news/how-affluent-investors-are-using-options-math-to-borrow-on-the-cheap-85216.html", "date": "Dec 15, 2025" }, { "title": "Wall Street Options Trick Becomes New Fintech Lending Hack - Bloomberg", "url": "https://www.bloomberg.com/news/articles/2025-10-29/wall-street-options-trick-becomes-new-fintech-lending-hack", "date": "Oct 29, 2025" } ], "launches": [ { "id": 92223, "title": "SyntheticFi Hybrid Mortgage 🏠 - 4.64% APR with extra tax deductions", "tagline": "Get 2% lower interest rate compared to big banks. Save extra on taxes with uncapped interest deductions.", "body": "We’re [Tony](https://www.linkedin.com/in/yucheng-tony-yang) and [Joseph](https://www.linkedin.com/in/joseph-yezhou-wang/), co-founders of SyntheticFi.\n\nAfter partnering with over 150 financial advisors and helping hundreds of families, today we’re launching our **Hybrid Mortgage** product: **combine a mortgage and your investment portfolio** **to lower the borrowing cost to 4.64%.**\n\n# TLDR - You can borrow money at 4.64% APR, with uncapped tax write-off on interest.\n\nIf the following is true for you, we can help you save money. [Let’s chat](https://form.typeform.com/to/CSvxlN7B) if:\n\n* you have an investment portfolio, and,\n* your current **pre-approval letter** or **mortgage** has an interest rate higher than 4.7%.\n\n**If you know financial advisors (RIAs), mortgage brokers, and realtors**, [we would love to tell them](https://form.typeform.com/to/CSvxlN7B) about our partnership program.\n\n# \n\n![uploaded image](/media/?type=post&id=92223&key=user_uploads/1351685/04b9a84d-2f91-4ce9-837b-515a39f49f9e)\n\n# 🏡 How does a Hybrid Mortgage save money for you?\n\nUnlike a traditional mortgage, SyntheticFi Hybrid Mortgage **uses both your investment portfolio and your real estate property as collateral**. Because your investment portfolio is a lot more liquid than your real estate property, you are able to get a better interest rate.\n\nYou can think of it as a “hybrid” of two loans:\n\n* a securities-backed loan\n* a traditional mortgage\n\nThere are 3 benefits to introducing the securities-backed loan portion:\n\n**_Benefit 1: Interest rate is much lower than a traditional mortgage._**\n\nWe offer different fixed rate options. A popular term is **4.64% APR** fixed for 5 years. If you are borrowing $500,000, reducing the interest rate by 2% is equal to saving $10,000 per year.\n\n**_Benefit 2: Don’t have to sell stocks for down payments - saving on taxes, participate on future growth._**\n\nThe securities-backed loan portion can be used to meet the down payment requirement of the traditional mortgage. **Many of our users are able to buy homes with $0 cash down payments.** This allows them to keep their investments in the stock market to grow over time, while avoiding the capital gains taxes associated with asset sales.\n\n**_Benefit 3: Write off interest expense_**\n\n**You can write off interest on the securities-backed loan with no cap and no need to itemize deductions**. By contrast, interest deduction on a traditional mortgage is limited to interest from $750K in principal and requires itemized deduction. If you are getting a mortgage over $750K, you’d be leaving money on the table, because you didn’t maximize your tax deductions.\n\n# ⁉️ But it sounds too good to be true?\n\nYou are right to be cautious. Here is why you should trust SyntheticFi.\n\n**_Hybrid mortgage has been gate-kept by the ultra-rich._**\n\nBanks have long offered similar programs to the ultra-high net worth individuals (>30MM) via personal bankers. We are democratizing access to this product.\n\n**_We’ve done this, hundreds of times._**\n\nHundreds of families have used SyntheticFi Hybrid Mortgage to buy their homes. CBOE, the largest options exchange in the word, features our co-founder Joseph’s [in-depth article](https://www.cboe.com/insights/posts/long-dated-box-spreads-a-better-way-to-buy-a-home-updated/) explaining how our product works.\n\nAdditionally, we partner with over 150 professional financial advisors all over the US. [OUI Financial](https://ouifinancial.com/en/financing) is one of them: they have featured SyntheticFi on their website because they have had so much success with us.\n\n**_We’re regulated by the SEC._**\n\nSyntheticFi is regulated by the SEC as a registered investment advisor (RIA). We are a fiduciary, and you do not have to move your assets anywhere.\n\n# ➡️ Interested in learning more?\n\n[Let’s chat](https://form.typeform.com/to/CSvxlN7B) if:\n\n* you have an investment portfolio, and,\n* your current **pre-approval letter** or **mortgage** has an interest rate higher than 4.7%.\n\nIf you know financial advisors (RIAs), mortgage brokers, and realtors, [we would love to tell them](https://form.typeform.com/to/CSvxlN7B) about our partnership program.", "url": "https://www.ycombinator.com/launches/NzT-syntheticfi-hybrid-mortgage-4-64-apr-with-extra-tax-deductions", "votes": 148, "created_at": "2025-07-16T20:42:50.293Z" }, { "id": 81967, "title": "🔷 SyntheticFi: Cheapest way to get liquidity from your stock investments", "tagline": "Cheapest securities-backed line of credit (SBLOC), right on your existing brokerage platform.", "body": "# TLDR\n\nSyntheticFi helps you borrow at 5.83% APR using your investments as collateral without switching to another brokerage. You can save $30K+ per year borrowing $500K on Charles Schwab while staying with Schwab.\n\n🌟[Start here](https://app.syntheticfi.com/) or [talk to us](https://calendly.com/tonyyanga/meet-with-tony-syntheticfi) to start saving money. No credit checks involved. 🌟\n\n![uploaded image](/media/?type=post&id=81967&key=user_uploads/1351685/500c3c23-5b0f-408a-976c-baa5a18e4b42)\n\n# ❓Why Borrow Against Your Investments: Continued Investment Growth + No Capital Gains Tax!\n\nMany use margin loans or a securities-backed line of credit (SBLOC) to **get liquidity** from their investments **without selling and incurring capital gains tax**.\n\nFor example:\n\n* You work at big tech: you have concentration stock positions that appreciated greatly. You can now use SBLOC to fund a downpayment on a house without paying 20% on capital gains tax or impacting DTI\n* You are an angel investor: you can now chase the extra returns from investing in startups and not miss out on the 9% historical returns of the S&P 500.\n\nEven Elon Musk planned to take out a $12.5B loan against his Tesla shares to acquire Twitter/X!\n\nAdditionally, securities-backed loans have **no impact on your credit report.**\n\n* No credit checks; don’t show up on credit reports; no impact on DTI (debt-to-income) calculations\n\n![uploaded image](/media/?type=post&id=81967&key=user_uploads/1351685/03e81b3c-6601-4ca7-86a5-034813087729)\n\n# ❌ Problem: Expensive, and Hard to Switch to Cheaper Providers\n\nGetting a competitive interest rate to borrow against your investments requires upending your financial life. You are forced to choose between two bad options:\n\n* either **overpay thousands** in interest per year;\n* or take on the **hassle of switching** to a cheaper broker.\n\nA real-life example: Tony **🙋‍♂️,** ex-Stripe, has personally tried to borrow against his investments to pay the downpayment on his first house.\n\n* **Tony had to overpay $13K+ a year!** Fidelity’s website quoted Tony 11.83%. He tried to negotiate. It took Fidelity 2 weeks to get back quoting 10%; even the mortgage was only at 7.5% at the time.\n* **Tony also hated switching to a low-cost broker.** When searching for cheaper rates, Tony found Interactive Brokers (IBKR) offer \\~6.3%. However, he would have to:\n * abandon the trading interface he is used to,\n * set up an entirely new account and wait for assets to transfer,\n * manage his retirement account in a separate brokerage,\n * and receive almost no support from IBKR. He heard they even liquidate assets without notice!\n\n![uploaded image](/media/?type=post&id=81967&key=user_uploads/1351685/2729d18e-1617-4a3d-87b9-1d759021392e)\n\n**How big is this problem?**\n\nIn total, credulous individual investors overpay $32B+ in interest per year to banks and broker-dealers, fueling a $1 trillion+ market with low competition. This market is similar to the size of total outstanding credit card debt, or 2.65x the size of the HELOC market.\n\n![uploaded image](/media/?type=post&id=81967&key=user_uploads/1351685/2f0e0799-acc3-411b-b2e2-7e8b9721a42b)\n\n# 💡Solution: Add SyntheticFi to your current brokerage platform.\n\nRegistered with the SEC, SyntheticFi acts as an **add-on** to your current investment platform. It allows you to borrow at a base rate + 0.5%, currently **5\\.83%,** **without switching** to another brokerage account.\n\nGet liquidity in three easy steps:\n\n* Connect SyntheticFi to your brokerage account via a Plaid-like connection;\n * We will ask you for certain permissions;\n * We are required by law to act in your best interest - we are an SEC-registered investment advisor.\n* Tell us the amount you’d like to borrow and when you’d like to repay;\n* Withdraw the cash immediately!\n\n![uploaded image](/media/?type=post&id=81967&key=user_uploads/1351685/ce1f7529-7bf4-4858-b143-3c364df850e8)\n\n**How much does SyntheticFi cost?**\n\n* \\[FREE DEAL\\] [Join our Slack community](https://join.slack.com/t/syntheticficommunity/shared_invite/zt-2mab058vk-GGgIEEMgJ\\~8xwsasPx7FXQ), and get your first loan ON US!\n* 0\\.016% of your loan amount per month, up to $200 per month. This is 1/30 to 1/10 of what traditional brokers currently charge.\n\n![uploaded image](/media/?type=post&id=81967&key=user_uploads/1351685/91a2ea6e-d7e7-4243-9412-eedbbc8819d0)\n\n# 📝 FAQ\n\n**How can you offer the cheapest margin rate on the market?**\n\nWe help you enter into an exchange-traded loan contract. You can think of it as we bring your loan contract to Wall Street, where all traders compete in real time to offer you the cheapest loan.\n\n**What is the loan you trade on exchange here?**\n\nWe trade a basket of options called box spreads. These options are hedged so that they do not move with the underlying. Read more about them [**here**](https://www.syntheticfi.com/how-it-works), and see how [**Reddit traders**](https://www.reddit.com/r/PMTraders/comments/pziqxa/spx_box_spreads_what_they_are_and_how_to_use_them/) are using them.\n\n**What is the tax treatment for the loan interest?**\n\nThe loan interest incurred is always tax deductible as capital losses.\n\n**How can you let me stay with my current brokerage?**\n\nOur loan contract is supported across major brokerages. We integrate with them and trade it in your account, so you don’t need to switch.\n\n**How much can I borrow against my investment?**\n\nMargin requirements from your current broker apply. Most clients should be able to borrow up to 50% of their portfolio value. Exceptions: non-liquid investments, retirement assets, or crypto assets.\n\n**What can I use my borrowed cash for?**\n\nMoney borrowed from our product can be used for any purpose, including buying more stocks.\n\n# 👥 Team\n\n![uploaded image](/media/?type=post&id=81967&key=user_uploads/1351685/8dd7d1af-505b-4f77-b967-8f620db3455f)\n\nWe’re Joseph and Tony (left, right), the team behind SyntheticFi. Joseph worked on similar products with financial advisors when he was the first employee who built VRGL, a series-A wealth-tech startup valued at over $100MM. That inspired us to build SyntheticFi and bring cheap securities-backed borrowing rates reserved for the ultra-rich to the average person.\n\n# 📢 Asks\n\n\\[FREE DEAL\\] If you are currently using margins / security-backed loans:\n\n* We’d love to chat and see what you think of our product! Let’s [**find time to meet**](https://calendly.com/tonyyanga/meet-with-tony-syntheticfi). We will waive our fee from your first loan.\n* You can also [sign up](https://app.syntheticfi.com) on our website directly!\n\n\\[Introductions\\] If you know **anyone at financial advisor platforms, independent broker-dealers, or mortgage brokers** who wants to gain revenue while giving their clients better rates:\n\n* We’d love a referral. Our email is [founders@syntheticfi.com](mailto:founders@syntheticfi.com)\n* Or, share our website: [syntheticfi.com](http://syntheticfi.com/).", "url": "https://www.ycombinator.com/launches/LK3-syntheticfi-cheapest-way-to-get-liquidity-from-your-stock-investments", "votes": 57, "created_at": "2024-07-08T19:18:02.194Z" } ] }, { "id": 29040, "name": "Inventive AI", "slug": "inventive-ai", "former_names": [ "Inventiv AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9ca8dbe5acb1f1a068aec484d7a9083db2e81f55.png", "website": "https://www.inventive.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Inventive is an AI-powered RFP & questionnaire response management platform that drives 70%+ efficiency in sales response workflows.\r\n\r\n**Core benefits and features:**\r\n\r\n- **10X Faster Drafts With Highly Accurate Responses**: Using Inventive’s proprietary AI-system you can get first drafts 10 times faster, with accurate responses rooted in your knowledge sources, that you and your team can collaborate on to refine.\r\n- **Single Hub for All Your Knowledge Sources:** Inventive offers a centralized hub for all your knowledge sources. You can upload previous RFPs and relevant documents; integrate with your internal data systems such as gDrive. Sharepoint & more; upload Q&A from legacy tools or spreadsheets; and even add information from your websites.\r\n- **Fight Stale Content With AI Content Manager:** Inventive’s AI content manager proactively flags conflicting content by identifying issues within your sources, so you only use fresh and relevant content in your responses.\r\n- **Higher Productivity & Competitive Advantage With AI Agents:** Inventive offers a suite of AI agents designed to boost productivity and give you a competitive advantage. These agents can help with researching competitors, brainstorming ideas, and more.\r\n\r\nBuilt by a customer-obsessed team comprising an ex-exec from a Fortune 500 company and ex-AI team from Google & Stanford. Backed by top Silicon Valley investors including YCombinator.", "one_liner": "AI Agents For RFP and Questionnaire Response Automation ", "team_size": 15, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1687811406, "tags": [ "Generative AI", "SaaS", "B2B", "Sales", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Sales" ], "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/inventive-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/inventive-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/inventive-ai/", "x_url": "https://twitter.com/inventive_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9ca8dbe5acb1f1a068aec484d7a9083db2e81f55.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1359485, "full_name": "Dhiren Bhatia", "title": "Founder", "founder_bio": "Co-founder & CEO at Inventive AI. Most recently, Founder & CEO at Viewics (acquired by Roche) - a SaaS analytics platform and suite of applications for health systems and clinical laboratories. MBA (UC Berkeley) | MS (Texas A&M University) | BE (University of Mumbai)", "is_active": true, "linkedin_url": "https://linkedin.com/in/dhiren9", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b1becf70ebda4cffcb9c009eef563413af7db81b.jpg" }, { "user_id": 150549, "full_name": "Vishakh Hegde", "title": "Founder/CTO", "founder_bio": "I previously led ML efforts at Ambient AI (yc17 / a16z). Studied ML and AI at Stanford. Went to IIT Madras for undergrad. I've published papers in ML/AI and have also authored a book deep learning (link: https://a.co/d/07ZnJwZ). Always looking to solve *real* problems. Love tinkering with technology.", "is_active": true, "linkedin_url": "https://linkedin.com/in/vishakhhegde", "x_url": "https://twitter.com/vishakhhegde", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/308aabfe78b14641a386418394af5df73830250f.jpg" }, { "user_id": 674339, "full_name": "Gaurav Nemade", "title": "Founder", "founder_bio": "Previously, Product Manager at Google AI & Google Brain and the first PM on Google's LLM platform - LaMDA that powered Google Bard. Studied CS from IIT Roorkee.", "is_active": true, "linkedin_url": "https://linkedin.com/in/gauravnemade", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6111dcde3b1190432539287c972f16fb7a0fff02.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 84005, "title": "🚀 Inventive.ai - AI-First RFP and Questionnaire Response Platform", "tagline": "Inventive enables sales teams to drive 70%+ efficiency in sales response workflows.", "body": "# **♥️ TL;DR ABOUT INVENTIVE ♥️**\n\n[Inventive](https://www.inventive.ai/?utm_source=yc&utm_medium=launch-yc) is on a mission to drive 10x productivity in sales workflows with AI Agents. Our product, the Inventive platform, enables sales teams to respond to RFPs and Sales Questionnaires in a fraction of the time.\n\nSee a short video here: \n\n# **☝️ PROBLEM ☝️**\n\nIn the US, projects > $1 Trillion get allocated via RFPs. in public and private domains across technology, defense, construction & more. But responding to RFPs is daunting and challenging\n\n1. **RFPs are daunting:** Responding to RFP responses can take anywhere from a few hours to a few months\n2. **Dependency on SMEs:** Often require time and commitment from multiple teams within the organization:\n3. **Knowledge Management is a huge pain:** Keeping content fresh and up-to-date is a huge challenge.\n\n# **😃 MEET INVENTIVE 😃**\n\nInventive provides a series of agents and automation that enable sales teams to respond to RFPs and sales questionnaires 70% faster.\n\n1. **10X Faster Drafts With Highly Accurate Responses:** Inventive's proprietary AI models provide a first draft of RFP responses 10X faster. These responses are accurate, reliable, and rooted in the organization’s sources.\n\n ![uploaded image](/media/?type=post&id=84005&key=user_uploads/674339/1ca07bf9-9d8b-4032-afec-20416771da84)\n\n2. **Single Hub for All Your Knowledge Sources:** Inventive integrates with many of your enterprise platforms, curating a single source of truth for all your proposal and pre-sales assets and reducing the dependency on SMEs.\n\n ![uploaded image](/media/?type=post&id=84005&key=user_uploads/674339/832eef88-dca5-46e3-bfa6-cbfede9d6b26)\n\n3. **Fight Conflicting Content With AI Content Manager:** Inventive’s AI Content Manager proactively flags stale and conflicting content at scale, saving proposal teams a lot of time and manual effort.\n\n ![uploaded image](/media/?type=post&id=84005&key=user_uploads/674339/97898914-534e-43b0-bb97-a4f6f3b7e5bd)\n\n4. **AI Agents for Productivity & Competitive Advantage:** The Inventive platform has a number of AI Agents focused on strategic tasks and can help users with researching competitors, brainstorming creative ideas, and managing compliance.\n\n ![uploaded image](/media/?type=post&id=84005&key=user_uploads/674339/5064df2e-50a0-463c-ba5e-1583309f1f2a)\n\n\n# **🎉 OUR CUSTOMERS LOVE US 🎉**\n\n> _“Inventive has been a game changer for us. We have been 3X more productive.”_\n\n> _“Our Solutions Engineering team has experienced remarkable improvements in speed and accuracy with Inventive.”_\n\n> _“We are being down selected and winning more RFPs than ever before!”_\n\n# **🗓️ REACH OUT 🗓️**\n\nBook a free demo at [http://www.inventive.ai/demo](https://www.inventive.ai/demo?utm_source=yc&utm_medium=launch-yc)", "url": "https://www.ycombinator.com/launches/Lqv-inventive-ai-ai-first-rfp-and-questionnaire-response-platform", "votes": 52, "created_at": "2024-09-13T15:02:15.238Z" }, { "id": 73748, "title": "Inventive AI: Automate responses to sales information requests with AI", "tagline": "Generate reliable and accurate responses to security reviews, RFPs, DDQs, and RFIs and lower your time-to-revenue.", "body": "**TL;DR:** _Sales information requests are an important part of most sales deals. But they are long and tedious to complete accurately and need repeated involvement from senior team members. Inventive AI automates this process using AI. Our platform natively manages the fidelity of each response by providing sources, a confidence rating and automatically flagging stale content._\n\n### **Problem ⚠️**\n\nA sales information request like a security questionnaire, RFI, DDQ and RFP is an important step to complete in every sales deal. Each one’s a grind though! A typical sales questionnaire has an average of 77 questions and the average time to complete one is 32 human hours.\n\n* Coordinating the completion of a sales information request usually takes days to weeks depending on the complexity. Dhiren faced this challenge with his sales team at Viewics where they had momentum in the sales motion but they knew that this step would slow down time to revenue. No one person has the answers to all the questions which makes it challenging to search for answers in a knowledge base or chase down answers from the SMEs who are senior team members → and busy with their day job!\n* If an answer is found in a knowledge base, it’s difficult for the coordinator to ascertain if the content is current or obsolete. Inevitably, this uncertainty leads to a senior team member having to validate the answer. Result → Slows down the sales motion!\n\n### **Our Solution 👋**\n\nThe Inventive AI platform automates drafting responses that can be trusted and does so in a fraction of the time compared to the current process. We do this by:\n\n* **Generating responses grounded in facts:** We use your previous responses and connect to company knowledge bases to generate a response. For each answer, we include easily accessible citations to the sources used to generate the answer.\n* **Creating a Confidence Rating:** We generate a confidence rating for each answer and automatically flag answers that need review.\n* **Detecting Stale Content:** We automatically flag content that could be obsolete and thereby inaccurate.\n* **Creating compelling answers:** You have control over the tone of the answers while keeping the facts intact.\n\nOur goal is that you only have to **_verify responses,_** not create them from scratch for every sales information request. Most existing SaaS tools cater to streamlining the process of response creation. With our AI native solution, our customers only verify flagged answers while we do the heavy lifting of generating an accurate response to each question.\n\n![uploaded image](/media/?type=post&id=73748&key=user_uploads/150549/7482b2fd-7d43-4036-a5ce-50016d40c592)\n\n### **Team** 🍻\n\nWe are an SF Bay Area native team who met through our friend’s circle and hit it off on our love and passion for AI & building businesses.\n\n[**Dhiren**](https://www.linkedin.com/in/dhiren9/) previously founded and led Viewics (series-B, acquired by Roche), a SaaS company in healthcare analytics that managed data for **100Mn+ patients** across customers like Mayo Clinic, University Hospitals, and Children’s Hospitals.\n\n[**Gaurav**](https://www.linkedin.com/in/gauravnemade/) was a product manager at **Google AI and Google Brain** and led go-to-market for the LLM platform - LaMDA - which eventually ended up powering Google Bard v1.\n\n[**Vishakh**](https://www.linkedin.com/in/vishakhhegde/) led mission-critical Machine Learning efforts at **Ambient AI** (YC17, A16z) and has authored a book on Deep Learning. He has a Masters's in ML from Stanford.\n\n[**Waffle**](https://photos.app.goo.gl/wbrecuk6xnHjBim68) is a world leader in sniffing for treats and cheering us up on hard days. She is our (non-AI) Happiness Agent.\n\n![uploaded image](/media/?type=post&id=73748&key=user_uploads/1359485/ef976aa8-0d12-410f-a569-6b44fc5a2247)\n\n### **Requests** 👋🏻\n\n* If you have ever dealt with requests like security questionnaires or RFP, we would love to get in touch! [**Reach out to us!**](https://tally.so/r/w7LDD6)\n* Email us to schedule a demo - [**founders@getinventive.ai**](mailto:team@getinventive.ai)\n\nBeing built with ❤️ by team Inventive :)", "url": "https://www.ycombinator.com/launches/JBU-inventive-ai-automate-responses-to-sales-information-requests-with-ai", "votes": 28, "created_at": "2023-08-03T15:06:47.318Z" } ] }, { "id": 29041, "name": "Langdock", "slug": "langdock", "former_names": [ "Security" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e209d278473c98c7356a71ec3f7357fa784222a3.png", "website": "https://langdock.com", "all_locations": "Berlin, Berlin, Germany", "long_description": "Langdock is a comprehensive and secure platform for deploying AI in companies. From a powerful chat interface for all employees to tools for creating custom workflow automations with AI-driven agents.", "one_liner": "The all-in-one AI platform for companies.", "team_size": 65, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1690080205, "tags": [ "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/langdock", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/langdock.json", "year_founded": 2023, "city": "Berlin", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/langdock/", "x_url": "https://twitter.com/langdock_hq", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Langdock", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e209d278473c98c7356a71ec3f7357fa784222a3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1b19b7751a6985460e4d0842314ccffae3c1ad2d.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 460543, "full_name": "Lennard Schmidt", "title": "Founder", "founder_bio": "Building langdock.com :)", "is_active": true, "linkedin_url": "https://linkedin.com/in/lennardschmidt", "x_url": "https://twitter.com/lenschmi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7e1821dad26b33de0218d4c943934533e6253590.jpg" }, { "user_id": 803591, "full_name": "Jonas Beisswenger", "title": "Founder", "founder_bio": "Building Langdock (S23)", "is_active": true, "linkedin_url": "https://linkedin.com/in/jonasbeisswenger", "x_url": "https://twitter.com/jbeissw", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/478ce4be45b60ff22216deb83c47b09aa11625c5.jpg" }, { "user_id": 1330611, "full_name": "Tobias Kemkes", "title": "Founder", "founder_bio": "Before Langdock, I was the founding engineer at Blair (YC S19) and built an end-to-end automated servicing platform to manage their $100M debt facility. The platform was audited, handled sensitive data, and moved millions of dollars around. I later became Blair's first head of product, managing a team of five engineers.", "is_active": true, "linkedin_url": "https://linkedin.com/in/tobiaskemkes", "x_url": "https://twitter.com/tobiaskemkes", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c280b21b081eeb0aca67a26d3732e7d136088b6f.jpg" } ], "jobs": [], "news": [ { "title": "Langdock raises $3M with General Catalyst to help companies avoid vendor lock-in with LLMs | TechCrunch", "url": "https://techcrunch.com/2024/04/19/langdock/amp/", "date": "Apr 19, 2024" } ], "launches": [ { "id": 73432, "title": "Langdock: The GDPR-compliant ChatGPT for your team", "tagline": "Employees are already using ChatGPT, we help companies to embrace the technology in a compliant way.", "body": "Hey everyone! We’re Tobias, Jonas, and Lennard from Langdock. We are in the current YC batch and excited to launch our product today!\n\n![uploaded image](/media/?type=post&id=73432&key=user_uploads/460543/1c6d378f-7ca9-4804-9abf-b3fb287db16e)\n\nWe initially built a product that enabled developers to easily create LLM Plugins across ChatGPT and LangChain. We quickly gained a few hundred users, and through conversations with them, we learned a lot about the duality of fear and excitement around LLMs within companies.\n\nThat is why we started building the GDPR-compliant ChatGPT for teams, enabling companies to easily and safely embrace the productivity increase of ChatGPT. Professionals are already using ChatGPT individually — we help companies manage & control the usage and help employees share conversations with co-workers.\n\n**The Problem: Using ChatGPT as an employee is not compliant**\n\n* ChatGPT is already increasing the productive output of employees\n* ChatGPT is not compliant, and companies either look the other way, explicitly forbid its usage or build internal tooling to replicate the ChatGPT experience (e.g. Stripe)\n* Companies have no simple way of managing how employees engage with tools like ChatGPT\n\n**The Solution: GDPR-compliant ChatGPT for Teams**\n\n* We are building the model-agnostic application layer for companies, enabling companies to enable and disable models that are available to their users\n* We enable companies to enforce their rules on data privacy and access\n* We help companies easily manage the users of their organizations, analyze the usage, and upskill them to make use of LLMs\n\n**Our Request**\n\n* If you are considering embracing ChatGPT within your company to increase knowledge worker productivity, please get in touch via [lennard@langdock.com](mailto:lennard@langdock.com)!", "url": "https://www.ycombinator.com/launches/J6O-langdock-the-gdpr-compliant-chatgpt-for-your-team", "votes": 66, "created_at": "2023-07-26T04:11:42.148Z" } ] }, { "id": 29042, "name": "Santé", "slug": "sante", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d10be62025bd08a71a16a6b40cd46744ed418b47.png", "website": "https://santehq.com/", "all_locations": "New York City, NY, USA", "long_description": "", "one_liner": "All-in-one POS for liquor stores", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Retail", "launched_at": 1684850998, "tags": [ "Fintech", "SaaS", "B2B", "Retail" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Retail" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sante", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sante.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d10be62025bd08a71a16a6b40cd46744ed418b47.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": 944994, "full_name": "Darren Fike", "title": "Founder", "founder_bio": "10 years of Sales and Marketing experience at startups like Fast and Bond. \n\nCurrently: Co-Founder / CEO of Santé; Toast for liquor stores. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/darrenfike", "x_url": "https://twitter.com/darrenfike", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/46f25949476ef21e88a9939fe30391f32bde160c.jpg" } ], "jobs": [ { "id": 79917, "title": "Sales Development Representative", "url": "https://www.ycombinator.com/companies/sante/jobs/7rJnVUS-sales-development-representative", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $120K", "equity_range": "0.15% - 0.25%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 85970, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/sante/jobs/oxtGcli-account-executive", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K - $150K", "equity_range": "0.10% - 0.25%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 86945, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/sante/jobs/QnEEC9K-forward-deployed-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "QA engineer", "salary_range": "$80K - $120K", "equity_range": "0.10% - 0.25%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 102678, "title": "Customer Experience Manager", "url": "https://www.ycombinator.com/companies/sante/jobs/hZPgZ7E-customer-experience-manager", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$80K - $100K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 103671, "title": "Head of Content", "url": "https://www.ycombinator.com/companies/sante/jobs/p2P43c9-head-of-content", "location": "New York, NY, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "0.10% - 0.20%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 105460, "title": "Applied AI Engineer", "url": "https://www.ycombinator.com/companies/sante/jobs/uqzHIY0-applied-ai-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$230K - $300K", "equity_range": "0.10% - 0.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105461, "title": "Senior Engineer - Money Movement", "url": "https://www.ycombinator.com/companies/sante/jobs/244pt5F-senior-engineer-money-movement", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$230K - $300K", "equity_range": "0.10% - 0.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105462, "title": "Founding Growth Marketer", "url": "https://www.ycombinator.com/companies/sante/jobs/JZuHyLJ-founding-growth-marketer", "location": "New York, NY, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "0.10% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112874, "title": "Product Designer", "url": "https://www.ycombinator.com/companies/sante/jobs/sZ66lLT-product-designer", "location": "New York, NY, US", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "$120K - $160K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 73086, "title": "Santé - The all-in-one POS for liquor stores", "tagline": "Manage your business in one powerful application specifically built for liquor stores.", "body": "# Overview\n\nSanté is the all-in-one POS for liquor stores. Our mission at Santé is to empower tens of thousands of liquor store owners to run their businesses more efficiently using modern software.\n\n# Problem\n\n91% of liquor stores are independently owned and operated. Stores are often understaffed and rely on antiquated systems to manage day-to-day operations. A few examples of common problems for liquor stores:\n\n* Spending hours per week on manual data entry for inventory receiving and creating purchase orders.\n* Dealing with complex interstate regulations to sell liquor online (a growing trend).\n* Working with poor integrations for local delivery (Drizly, DoorDash, Instacart, etc).\n* Mishandling products at checkout because many beers/wines do not have barcodes.\n* Losing sales due to poor integration between their POS and marketing tools.\n* Losing a meaningful portion of their inventory to theft ($5B+ lost across the industry annually).\n\nIn fact, one of our early customers called this industry a “dinosaur industry” after sending us this picture:\n\n![uploaded image](/media/?type=post&id=73086&key=user_uploads/944994/e85195fe-bd46-4385-9b1f-6fc29d05eff4)\n\n# Solution\n\nWe’re helping independent liquor stores run thriving businesses with a POS built from the ground up to serve their specific needs:\n\n* **Simple Receiving:** Saving hours per week with automated inventory receiving and purchase order management\n* **Theft Monitoring:** Using RFID tags on every bottle to track when stolen bottles are leaving the store\n* **Compliance Management:** Source of truth on state-by-state shipping so that stores can open a new revenue stream and ship to all available states across the country\n* **Robust integrations:** Cutting costs by giving store owners all the tools they need to run their business with one subscription to Santé\n\n# Founders\n\n[@Darren](https://www.linkedin.com/in/darrenfike/), Santé’s CEO, was the top sales rep at his last two startups, and he has a passion for wine. Last year, he realized that his favorite local liquor stores in NYC still heavily rely on pen and paper. To learn more about the problem, he spent the next four months working at Frankly Wines on nights and weekends and interviewed over a hundred liquor store owners.\n\n[@Antoine](https://www.linkedin.com/in/antoinebalaresque/), Santé’s CTO, is a UC Berkeley alum and has founded multiple startups in the past in robotics, e-commerce, and SaaS. He is originally from France.\n\n# Give us a hand!\n\nHave any friends or family that work in the liquor store industry that would be interested in a casual discovery call? \n\nReach out to Darren at [darren@santehq.com](mailto:darren@santehq.com) to coordinate an intro. ", "url": "https://www.ycombinator.com/launches/J0o-sant-the-all-in-one-pos-for-liquor-stores", "votes": 28, "created_at": "2023-07-14T18:31:57.403Z" } ] }, { "id": 29045, "name": "Movley", "slug": "movley", "former_names": [ "Movley", "OpsNinja" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/79242638b23a78d632224e08f484f02f5318f098.png", "website": "https://movley.com/", "all_locations": "New York City, NY, USA", "long_description": "Movley is your e-commerce brand's product quality control department. Built by sellers, and trusted by 800+ brands. Are you a Shopify or Amazon seller? Sign up in 30 seconds to start monitoring your product quality for free!", "one_liner": "Your e-commerce brand's product quality control department.", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1686948871, "tags": [ "Logistics", "Manufacturing", "E-commerce", "Supply Chain", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B", "Supply Chain and Logistics" ], "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/movley", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/movley.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://linkedin.com/company/movleyco", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/movley", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/79242638b23a78d632224e08f484f02f5318f098.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": 329670, "full_name": "Sajag Agarwal", "title": "Founder", "founder_bio": "Previously founded a $2M/yr consumer brand. Struggled with supply-chain issues, and moved to China for a year to manage things myself. Later, I founded Movley to help others navigate the same problems I faced.", "is_active": false, "linkedin_url": "https://linkedin.com/in/sajagagarwal", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1973731b008c64d7eb476b51b075041a9ef39ccc.jpg" }, { "user_id": 1460662, "full_name": "Jake Corkin", "title": "Founder", "founder_bio": "Jake was the co-founder of Movley (S23). Previously, he led product and sales at Downstream (acq. 2021 by Jungle Scout). Jake also spent 5 years at Amazon. ", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/jake-corkin-87116b33/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d22b73ade1910ec6382b2fc3391d05a4e95ce51.jpg" }, { "user_id": 1457299, "full_name": "Rafael Petry", "title": "Founder", "founder_bio": "Co-Founder and CTO of Movley", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/rafaelpetry/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ced505e40c38210f4ef2fcf76fa08b9c32ede9ba.jpg" }, { "user_id": 1153798, "full_name": "Michael Friedman", "title": "Founder", "founder_bio": "", "is_active": false, "linkedin_url": "https://linkedin.com/in/michael-friedman-19a370a1", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/73be9ea83266d05cef32d50ff89d095b0fcd71d8.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 29046, "name": "Elythea", "slug": "elythea", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd032cddcdb63dd5b12b5be82827d23e79135094.png", "website": "https://elythea.org/", "all_locations": "San Diego, CA, USA", "long_description": "Over 80% of maternal mortalities were preventable with earlier intervention. Currently, doctors miss >50% of moms who have life-threatening complications and wait until labor to start doing manual risk assessments, at which point it's too late.\r\n\r\nElythea's proprietary ML models catch life-threatening obstetric complications (like postpartum hemorrhage, preeclampsia/eclampsia, emergency c-section, preterm labor, and more) as soon as the first visit. We automatically analyze relevant demographic and clinical risk factors, flag high-risk patients, and provide evidence-based interventions, giving doctors months in advance to intervene and prevent complications from ever happening.\r\n\r\nOur global clinical studies have shown that we can catch 3x more complications than clinical judgment 10x sooner. ", "one_liner": "ML to predict and prevent pregnancy complications ", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1691977453, "tags": [ "Health Tech", "Digital Health", "Women's Health", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare" ], "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/elythea", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/elythea.json", "year_founded": 2023, "city": "San Diego", "country": "US", "linkedin_url": "https://www.linkedin.com/company/elythea/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/elythea", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd032cddcdb63dd5b12b5be82827d23e79135094.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4083a31fd1a4daa7be3cc76af34a7d013be86f8d.png" ], "primary_partner": null, "founders": [ { "user_id": 483063, "full_name": "Reetam Ganguli", "title": "Founder", "founder_bio": "Got into Med school at Brown at 17, was studying to be an OBGYN, and dropped out to do Elythea. 1st authored 20+ publications, including multiple Nature journals. Previously founded and scaled a medical education organization across 30+ countries.", "is_active": true, "linkedin_url": "https://linkedin.com/in/reetamganguli", "x_url": "https://twitter.com/ReetamGanguli", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d4d58e1c64c1467a1d228bf705923115214b09e4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 74096, "title": "Elythea: Preventing maternal mortality with ML", "tagline": "80%+ of pregnancy deaths are preventable. We use ML to catch and prevent life-threatening complications starting from the 1st visit.", "body": "# **🏆 TL;DR:**\n\nDoctors miss >50% of the life-threatening complications of pregnancy. We are an ML platform that integrates into the EHR to flag high-risk patients as early as their 1st visit, so doctors can intervene months before delivery.\n\n### **❌ The Problem**\n\nOver 80% of cases of maternal mortality are preventable with earlier intervention (CDC). Risk assessments in the status quo have low high-risk detection rates, which hurt a doctor’s ability to administer preventative care and ensure safe, healthy deliveries. \n\n**Doctors currently miss more than 50% of patients who have life-threatening complications and wait until labor to start doing manual risk assessments, at which point it's too late.**\n\nEach of these complications cost providers between $3K-15K per case and can cost payors up to $75k per case. \n\n**These major pregnancy complications cost insurers >$55B annually**!\n\n**📚Quick Quiz**: Hemorrhage (excessive bleeding) is the #1 killer of moms during labor. What percent of all moms that hemorrhage do you think doctors currently identify as high risk?\n\n**✔️Answer**: 22%. Yep, in 2023, doctors have to manually tabulate a risk assessment when patients are on the delivery bed and still fail to classify >75% of hemorrhage cases as high risk. Elythea catches 2x-3x more hemorrhaging patients as early as the first visit, evolving over the course of a pregnancy with patient visits.\n\n### **🌟 Our Solution**\n\n![uploaded image](/media/?type=post&id=74096&key=user_uploads/483063/6201ae97-898f-4d97-a435-839e7178f7a1)\n\nEarlier intervention and improved clinical preparation have been shown to **prevent nearly two-thirds of severe maternal complications**. Elythea's ML models flag high-risk patients as soon as the first visit and evolve over the course of a pregnancy.\n\n**We automatically analyze relevant demographic and clinical risk factors, flag high-risk patients, and provide evidence-based interventions, giving doctors weeks to months in advance to intervene and prevent complications from ever happening**.\n\nWe predict risk for conditions like postpartum hemorrhage, preeclampsia/eclampsia, emergency C-section, preterm labor, and more.\n\nWe have completed prospective international clinical studies across USA, Cameroon, and Nigeria demonstrating that our models have better performance than current gold-standard clinical tools. **Our global clinical studies have shown that we can catch 2-3x more moms with complications than current clinical risk assessments >10x sooner.**\n\n### **📖 The Backstory**\n\nReetam was on the medical school track to be a high-risk obstetrician and read all the standard OBGYN medical textbooks. He came across this problem after interviewing 80+ obstetric providers, where the vast majority pointed him toward the direction of postpartum hemorrhage and hypertensive complications. \n\n**Reetam** previously founded Junior Medical Academy, a global medical education nonprofit accessible to students across 30+ countries, and Survivor Central, a national platform matching survivors of sexual assault/domestic violence with medical/legal/financial resources. He has 1st authored >15 accepted medical publications, including in multiple Nature Journals. He studied cancer engineering at Brown and left medical school to work on Elythea full-time. \n\n### **🙏 Asks**\n\n* **Share this post!** We want to help as many high-risk moms as possible, any intro helps!\n* Connect us with **Providers** (obstetricians and MFM doctors, obstetric private practices, and hospital C-suite executives) \n* Connect us with **Health Plans**\n* Connect us with innovative maternity care startups that can benefit from our AI models!\\\n \\\n _\\* quick blurb to copy & paste:_ \\\n I came across Elythea, a YC S23 startup that uses ML to predict and prevent pregnancy complications as soon as the 1st visit! They integrate into EHR systems and flag complications like hemorrhage, preeclampsia, preterm labor, and emergency C-sections, helping to prevent them from happening. Check them out at or contact them at [info@elythea.org](mailto:info@elythea.org) to learn more!", "url": "https://www.ycombinator.com/launches/JH6-elythea-preventing-maternal-mortality-with-ml", "votes": 140, "created_at": "2023-08-15T01:22:26.863Z" } ] }, { "id": 29051, "name": "Nanograb", "slug": "nanograb", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9ae1f1866a70286591b56aa5fd2f81bdf18af255.png", "website": "https://nanograb.com", "all_locations": "London, England, United Kingdom", "long_description": "Nanograb is a computational drug discovery company that uses AI to create novel targeted non-viral gene therapy vectors. Our platform designs unique combinations of small peptide binders attached to nanoparticles to safely deliver genetic medicines to specific cells and tissues in the body at scale. ", "one_liner": "Deliver genes to any cell with AI", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Drug Discovery and Delivery", "launched_at": 1688618716, "tags": [ "AI-powered Drug Discovery", "Nanomedicine", "Biotech", "Drug Delivery", "Therapeutics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Drug Discovery and Delivery" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/nanograb", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/nanograb.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/94221598", "x_url": "https://twitter.com/nanograb", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9ae1f1866a70286591b56aa5fd2f81bdf18af255.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 983241, "full_name": "Debesh Mandal", "title": "Founder", "founder_bio": "Co-founder and CEO of Nanograb. PhD in Computational Biophysics from Imperial College London. Experienced in molecular simulations and building software for scientists. First software hire at Fabricnano", "is_active": true, "linkedin_url": "https://linkedin.com/in/debeshmandal", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3ead4cccc4160ea682b2035a3c1680aa154e1808.jpg" }, { "user_id": 790668, "full_name": "Christopher Lau", "title": "Founder", "founder_bio": "Co-founder of Nanograb. M.Eng Biomaterials and Tissue Engineering at Imperial College London. Biomedical engineering experience developing biosensors using aptamers, and a drug delivery device for hypertension management.", "is_active": true, "linkedin_url": "https://linkedin.com/in/christopher-lau-542798151", "x_url": "https://twitter.com/lauhoyeung", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e715a57f758c8646639b497cdc0b29b013e14ec3.jpg" }, { "user_id": 986167, "full_name": "Shanil Panara", "title": "Founder", "founder_bio": "Cofounder and in silico lead at Nanograb; Imperial College PhD (dropout); \n\nFascinated by all things compute and physics... all in the name of figuring out real life things!\n\nOtherwise, I love singing and music in general. Fun fact: I was in an a cappella group for 5 years :)", "is_active": true, "linkedin_url": "https://linkedin.com/in/shanilpanara", "x_url": "https://www.twitter.com/shanilpanara", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/65049c750d88f435b953f0837b9dfe4cc622c836.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 115774, "title": "Nanograb: Deliver mRNA to any cell with AI", "tagline": "Announcing NGX1, a platform for designing multi-peptide targeted lipid nanoparticles (tLNPs)", "body": "**TLDR** Nanograb is announcing NGX1, a universal navigation system for mRNA drugs to deliver cures for any disease. Moderna proved that mRNA will transform skin cancer care, we expand this to all diseases.\n\n\n\nDelivery is one of the most important problems stopping life-changing mRNA drugs reaching millions. There are over 3,000 different cell types in the body, but mRNA drug developers can only hit 1% of them. The problem is so pressing that multiple public biopharma partners are paying for early access to NGX1.\n\n![uploaded image](/media/?type=post&id=115774&key=user_uploads/983241/4aac129e-0ad7-45af-9e54-ea4997a5c9d4)\n\n**Works the first time, every time.** There are more peptide sequences than atoms in the universe. Most approaches to solve delivery rely on screening thousands of formulations. NGX1’s biophysics-informed models achieved >25% hit rates on the first try across different targets in mice (4x improvement in cancer cells, 15x for immune cells).\n\n**We hit any cell, any state.** All cells have receptors. Their combination makes up a unique fingerprint. Most people try and target individual receptors whereas we can target the fingerprint, enabled by multivalent physics. We’re creating new drugs that have never existed before. \n\n**NGX1 solves major scale-up issues upfront.** Scaling up targeted mRNA drugs to millions of people is hard because of complex biomanufacturing requirements. Nanograb circumvents these requirements by utilising short peptides instead of antibodies or other biologics.\n\n**15 years of physics research powers NGX1.** Our team includes the foundational researchers of the multivalent biophysics models powering our platform. Our founding team are scientists from Imperial, Oxford and Cambridge.\n\n![uploaded image](/media/?type=post&id=115774&key=user_uploads/983241/1afa2be9-6b73-405a-9931-042318f53d19)\n\nModerna has already shown that mRNA drugs are the future. Eli Lilly showed that mRNA’s potential to be a one-time solution for high cholesterol could help the entire global population. NGX1 is the first step to realising a future where millions of people can access mRNA therapies.\n\nLearn more at [nanograb.com](http://nanograb.com) or reach out via [platform@nanograb.com](mailto:platform@nanograb.com).", "url": "https://www.ycombinator.com/launches/U7K-nanograb-deliver-mrna-to-any-cell-with-ai", "votes": 10, "created_at": "2026-09-17T15:45:22.879Z" }, { "id": 73562, "title": "🧪 Nanograb - Multivalent nanoparticles for next-generation targeted drugs", "tagline": "We use AI to generate the best combination of binders to treat different diseases", "body": "## 💊 **70% of drugs fail in clinical trials because of poor targeting**\n\nThese drugs need lower dosages due to their side effects. Targeting would minimise these side effects and mean that a smaller, more effective dose could be given to a patient. But there are no existing platforms for creating drugs that will target exactly where they need to be in the body.\n\nFor example in cancer, when scientists try to create targeted drugs, they use molecules like antibodies that attach to the cancerous cell at a single site on a single receptor. Since these cancerous cells have the same receptors as healthy cells, both types are killed by toxic payloads!\n\n![uploaded image](/media/?type=post&id=73562&key=user_uploads/983241/0e15bd9d-4ee0-419f-a114-8311a2bc4fa1)\n\n## 🎯 **Our product allows drugs to be targeted to very specific areas of the body**\n\nWe generate the best combination of binders using AI and a multivalent physics engine. We will do what no other technology is able to do:\n\n* Actively minimise binding to the wrong targets\n* Target new parts of the body that have been previously inaccessible\n\nNanograb’s vision is to transform the therapeutic landscape across the entire healthcare spectrum. Nanograb will be creating new therapies on-demand with next-generation targeting whether it’s [infinitely mutating cancers](https://www.nature.com/articles/s41586-023-05729-x), [incurable neurodegenerative diseases](https://en.wikipedia.org/wiki/Neurodegenerative_disease) or [Disease X](https://en.wikipedia.org/wiki/Disease_X)\n\nOur scalable platform has proof of concept data _in vitro_ and _in vivo_ and our goal is to scale these methods to dozens of different applications.\n\n![uploaded image](/media/?type=post&id=73562&key=user_uploads/983241/9bd664c7-6e5f-4bb5-8ccc-bc6a89f951f3)\n\n## **🧠 Our founding team are experts in the field**\n\n* [**Debesh Mandal**](https://linkedin.com/in/debeshmandal) (CEO) completed PhD in computational biophysics and was the first software hire at FabricNano.\n* [**Shanil Panara**](https://linkedin.com/in/shanilpanara) (_In Silico_ Lead) dropped out of PhD to be our in silico lead, pioneering the deployment of our computational pipeline.\n* [**Christopher Lau**](https://linkedin.com/in/christopher-lau-54279815) (Product Lead) has experience delivering projects in energy, finance and biotechnology and brings a wealth of learnings from many industries.\n* [**Dr. Stefano Angioletti-Uberti**](https://www.linkedin.com/in/stefano-angioletti-uberti-b8319860/) (CSO) is the world leader in our theory having published the foundational papers on multivalency.\n* [**Professor Molly Stevens**](https://www.linkedin.com/in/molly-stevens-81742822/) (Advisor) won the Novo Nordisk Prize 2023 and her research group are recognised as pioneers in the biotechnology space.\n\n![uploaded image](/media/?type=post&id=73562&key=user_uploads/983241/3faaa3cd-9ab7-47c1-8a7b-5fe4792cfa53)\n\n## **📢 Get in touch **[**here**](mailto:hello+launchbf@nanograb.com)** if you can help:**\n\n* We are building partnerships with **biopharma companies** and would love any introductions to **principal scientists** or **business leaders** who want to work with us.\n* If you are a **doctor** or **know any doctors** who would enjoy sitting on **our scientific advisory board,** we want to talk about these areas:\n * Cancer\n * Degenerative Diseases (e.g. for internal organs)\n * Infectious Diseases\n * Neurological Conditions", "url": "https://www.ycombinator.com/launches/J8U-nanograb-multivalent-nanoparticles-for-next-generation-targeted-drugs", "votes": 159, "created_at": "2023-07-29T03:10:09.478Z" } ] }, { "id": 29053, "name": "Pure", "slug": "pure", "former_names": [ "Pure Metals", "Pure", "Pure 🪙" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a7d5b43cf42b46a6425da47dbd166eb9eb4f389a.png", "website": "https://www.collectpure.com/", "all_locations": "Los Angeles, CA, USA", "long_description": "Pure is the first transparent marketplace for the $11B Rare Coins Sector & $55B Precious Metals sector. We make it easy to buy & sell authenticated rare coins and precious metals such as Gold, Silver, Platinum, Palladium & Rhodium. ", "one_liner": "Marketplace for Rare Coins & Precious Metals", "team_size": 13, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1687372303, "tags": [ "Marketplace" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Consumer" ], "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/pure", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/pure.json", "year_founded": 2022, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/puretechnologies/", "x_url": "https://twitter.com/collectpure", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a7d5b43cf42b46a6425da47dbd166eb9eb4f389a.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": 1135457, "full_name": "Trey Benedict", "title": "Founder", "founder_bio": "Ex Numismatist @ Heritage TII & KLRC, Research @ Smithsonian.\nSneakerhead, Minesweeper, Nerd, & Pinball", "is_active": true, "linkedin_url": "https://linkedin.com/in/treybenedict", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/68ddb41c0b20391fa71443dd9ba148d3adbf6af7.jpg" } ], "jobs": [ { "id": 97526, "title": "Product Engineering Intern", "url": "https://www.ycombinator.com/companies/pure/jobs/fZDWDQD-product-engineering-intern", "location": "Los Angeles, CA, US / Remote (US)", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$6K - $10K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "TypeScript", "Next.js" ] }, { "id": 97529, "title": "Growth Marketing Intern", "url": "https://www.ycombinator.com/companies/pure/jobs/FB9AhLp-growth-marketing-intern", "location": "Marina del Rey, CA, US", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$4K - $7K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 113410, "title": "Social Media & Content Lead", "url": "https://www.ycombinator.com/companies/pure/jobs/hIBVVWH-social-media-content-lead", "location": "Los Angeles", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$90K - $135K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114398, "title": "Product Engineer — Marketplace", "url": "https://www.ycombinator.com/companies/pure/jobs/B8FlDEm-product-engineer-marketplace", "location": "Los Angeles, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $220K", "equity_range": "0.25% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "TypeScript", "Machine Learning", "Information Security", "Software Security", "Computer Vision", "Marketing design", "Next.js", "AI Agents", "AI Safety" ] }, { "id": 114399, "title": "Product Engineer — Vault Platform", "url": "https://www.ycombinator.com/companies/pure/jobs/NUoCiNB-product-engineer-vault-platform", "location": "Los Angeles, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $220K", "equity_range": "0.25% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "TypeScript", "Machine Learning", "Information Security", "Software Security", "Computer Vision", "Marketing design", "Next.js", "AI Agents", "AI Safety" ] } ], "news": [], "launches": [ { "id": 73870, "title": "Pure - Marketplace for gold/silver coins & bars", "tagline": "We provide transparency & efficiency for physical Precious Metals traders", "body": "Hey everyone! **Trey Benedict** & **David Gordillo** here from **Pure** to talk about our recent Precious Metals marketplace launch (2nd Launch of the Batch!). Our coin-scanning app launch gathered over 1K+ downloads and over 700 active users in a month, we thank you for your support 🙂\n\n### **TL;DR:**\n\nWe built an order-book-style marketplace to buy precious metals products such as gold/silver coins & bars. [**https://collectpure.com/**](https://collectpure.com/)\n\n### **❌ Problem**\n\nBuying & selling physical precious metals is very difficult. Most people wouldn’t even know where to start.\n\nA quick Google search will lead you to retailers that charge a “premium” of 10-30% over the current spot price, practically burying the consumer in fees.\n\nIndustry incumbents are highly predatory, taking advantage of consumers, especially older people who are interested in tangible assets.\n\nA similar front comes with selling precious metals; imagine “Cash for Gold” places that are offering -30% back of spot, taking advantage of unknowing sellers. There are barely any options to be able to sell precious metals online, we are changing that with a safe, simple process.\n\nPhysical precious metals is a massive market ($55B+) and exploding due to the rising inflation within the last 3-5 years, but the bad actors need to go.\n\n### **✨ Solution**\n\nWe built a platform for buyers & sellers to efficiently trade precious metals products that are assayed by the world governments and leading refineries and assayers.\n\n![uploaded image](/media/?type=post&id=73870&key=user_uploads/1135457/37b06359-cdf3-475e-90e7-739bdce24e6b)\n\nEffectively, we have lowered the premiums on precious metals to 3-5% by creating an order-book-style marketplace, down from 10-30% previously.\n\nThe key is to provide transparency of manufacturing premiums, spot prices, and historical trends in price to be able to provide the most efficient solution for purchasing physical precious metals. These will update after one week of the site launch to start giving predictions similar to Kayak’s flight advice.\n\n![uploaded image](/media/?type=post&id=73870&key=user_uploads/1135457/0cdd9e9c-4865-4c83-8f6a-959492b22bc0)\n\nIn order to carry out a streamlined marketplace, we needed a heavy-duty logistics solution, that’s why we partnered with the largest wholesaler of precious metals in the US, as well as the US Mint to secure a depository vault in the Las Vegas airport. All items are double-insured, with armed security 24/7. (Yes, we have a mini Fort Knox).\n\n### **🔦 Asks:**\n\nIf you are interested in purchasing Gold or Silver for orders over $2K please shoot me an email to [**trey@collectpure.com**](mailto:trey@collectpure.com). More than happy to chat!\n\nIf you know a gold bug, please send them our way! We would love to onboard them to our platform.\n\nIf you’d like to test the platform with a small purchase, this is the best entry to gold: [**https://www.collectpure.com/product/1-gram-argor-heraeus-gold-bar000199**](https://www.collectpure.com/product/1-gram-argor-heraeus-gold-bar000199)\n\nThanks!", "url": "https://www.ycombinator.com/launches/JDS-pure-marketplace-for-gold-silver-coins-bars", "votes": 31, "created_at": "2023-08-07T18:13:46.368Z" }, { "id": 72512, "title": "Pure 🪙 - Bloomberg Terminal for certified rare coins (Numismatics)", "tagline": "We provide real-time pricing data & analytics to numismatists about their certified rare coins.", "body": "Hey everyone 🙂 [@Trey Benedict](https://bookface.ycombinator.com/user/1135457) & [@David Gordillo](https://bookface.ycombinator.com/user/1477652) here from [@Pure 🪙](https://bookface.ycombinator.com/company/29053) to talk about our recent app launch for physical certified rare coins (sorry crypto fans these are real coins).\n\n### **TL;DR:**\n\nWe have built the first aggregate index to provide the **$11B Numismatics industry** with real-time pricing & population data for all certified rare coins.\n\nCertified Coins are typically of higher value ($1k-$20m), that are authenticated and graded on a scale of 1-70 by services such as PCGS, NGC, & CAC. These are physical coins made from precious metals such as gold, silver, platinum, and palladium.\n\nThe current state of the industry is plagued with asymmetric information, fragmented databases, and steep learning curves, causing many market inefficiencies. Pure aims to tackle these problems, and provide transparency to the industry as a whole.\n\n### **⭐️ Team**\n\n[Trey Benedict](https://www.linkedin.com/in/treybenedict/) **(CEO)** UC Berkeley Econ + DS 23’\n\n* 10+ years of Numismatic experience at the Smithsonian, Heritage Auctions, KLRC & Tangible Investments.\n* Purchased, graded, and sold over $20m worth of Rare U.S. Certified Coins.\n\nDavid Gordillo **(CTO)** Dropped out to pursue Pure\n\n* Full-Stack Engineer & Security Specialist\n* Sneaker Automation Developer & Collector\n\nShoutout to [Harrison Resnick](https://www.linkedin.com/in/hres/) & [Carter Watts](https://www.linkedin.com/in/carter-watts/) as well for being a part of the founding engineering team & being fellow collectors of Comics & Cars!\n\n### **❌ Problem & Current State of Numismatics**\n\nSimilar to sports cards, highly valuable coins are certified by third-party graders such as PCGS, NGC, and CAC. These entities authenticate the coins and assign them a condition rating, which scales from 1 to 70.\n\nHowever, due to the nature of the industry, many problems arise for participants such as encountering:\n\n1. **Asymmetric Information** of Pricing, Population, and Provenance of Certified Rare Coins.\n2. **Fragmented Databases** with misaligned and outdated descriptions, difficulty of navigation, and data entry errors.\n3. **Steep Learning Curves** in Numismatics often lead new collectors to purchase overpriced or even counterfeit Certified Rare Coins.\n\n### **✨ Solution**\n\nPure has created the **first aggregate index** of all U.S.-certified coins, with over 7+ million historical auction records across 72,000 different types of rare coin varieties.\n\n![uploaded image](/media/?type=post&id=72512&key=user_uploads/1135457/bbb572b7-2646-41f6-8d21-f77607b626cf)\n\nSimply **Scan, Tap, or Enter** the certificate number associated with a certified coin to be able to view all associated pricing & population data.\n\n![uploaded image](/media/?type=post&id=72512&key=user_uploads/1135457/807d05f5-b331-4f68-bcb5-6da2c955c84d)\n\nPure has created an overview for **real-time tracking and analysis** of coin inventories, benefiting collectors, dealers, and auction houses.\n\n![uploaded image](/media/?type=post&id=72512&key=user_uploads/1135457/d940e71f-b95d-4374-b606-6d27c77b1403)\n\nPure goes beyond analyzing historical data, by identifying **valuable collector traits** such as toning, mint luster, and eye appeal through the use of computer vision.\n\n### **How & Why Numismatics?**\n\nWe are collectors at heart, whether it be sneakers, cards, comics, or coins we have always collected something since we were young. Numismatics is a small niche community that happens to be one of the largest by market size, but the least technically involved. Over the years we have witnessed the revolution of sneakers through StockX & Goat, to sports cards, pokemon & Funko through ALT & Whatnot. It was only a matter of time before rare coins... However, we needed to catch the infrastructure of Numismatics up to speed first before diving deeper, hence this launch!\n\n### 🔦 **Asks:**\n\nIf you are Numismatist or know a friend who is: test [here](https://apps.apple.com/app/collect-pure-scan-rare-coins/id6446706268) 🙂\n\nInterested in learning more about Numismatics or Bullion: send us an email to [founders@collectpure.com](https://mailto:founders@collectpure.com)", "url": "https://www.ycombinator.com/launches/IrY-pure-bloomberg-terminal-for-certified-rare-coins-numismatics", "votes": 29, "created_at": "2023-06-24T21:44:02.861Z" } ] }, { "id": 29069, "name": "HappyRobot", "slug": "happyrobot", "former_names": [ "Happyrobot" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/47218a3fdf0ae3764de7b6e9b0084c42bf9b6707.png", "website": "https://happyrobot.ai", "all_locations": "San Francisco, CA, USA", "long_description": "HappyRobot is the AI-native operating system for the real economy, closing the circuit between intelligence and action. By combining real-time truth, specialized AI workers, and an orchestrating intelligence, HappyRobot manages complex, mission-critical work with true autonomy. Acting as a central brain, the OS compounds intelligence over time, optimizes decisions at every level, and continuously improves as it operates. Starting with supply chain and industrial-scale operations, HappyRobot enables enterprises to run with greater resilience and speed, while humans focus on strategy, creativity, and values.", "one_liner": "Intelligence that runs your operations. ", "team_size": 80, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1687482573, "tags": [ "Logistics", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Pablo (CEO) and Javi (COO) are siblings. Luis (CTO) met Pablo on their second day of their Robotics and Electronics undergraduate program. Later, they both pursued a Masters in Mechanical Engineering at the Technical University of Munich (TUM). It was also at TUM where Pablo pursued his PhD in Computer Vision at one of the top 3D AI Labs in the world." } ], "url": "https://www.ycombinator.com/companies/happyrobot", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/happyrobot.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/happyrobot/", "x_url": "https://twitter.com/happyrobot_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/happyrobot", "github_url": "https://github.com/happyrobot-labs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/47218a3fdf0ae3764de7b6e9b0084c42bf9b6707.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/09db61edc306b2459a0d59c997d0e6ff637ab0cf.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 864397, "full_name": "Pablo Palafox", "title": "Founder", "founder_bio": "Cofounder of Happyrobot (S23). Previously PhD Candidate @ TU Munich working on Computer Vision (https://pablopalafox.github.io/), research intern at Reality Labs (Meta).\n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/pablorpalafox", "x_url": "https://twitter.com/pablorpalafox", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3c15f78e02ca693f6af4d55b37258d649aa8ee95.jpg" }, { "user_id": 865186, "full_name": "Luis Paarup", "title": "Founder", "founder_bio": "Co-founder of Happyrobot (happyrobot.ai), working on AI agents that speak on the phone.", "is_active": true, "linkedin_url": "https://linkedin.com/in/luispaarup", "x_url": "https://twitter.com/PaarupLuis", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6ff5c4cb693accf866ea814aff20650012d12a2c.jpg" }, { "user_id": 873650, "full_name": "Javier Palafox", "title": "Founder", "founder_bio": "Javi is the co-founder and COO of Happyrobot. Previously, he served as CFO for a $300M CPG brand.", "is_active": true, "linkedin_url": "https://linkedin.com/in/javierpalafox", "x_url": "https://twitter.com/javypalafox", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/06706d9e1436483e01015def6a69e02e45cc0bb8.jpg" } ], "jobs": [ { "id": 65817, "title": "Software Engineer - Backend", "url": "https://www.ycombinator.com/companies/happyrobot/jobs/kOMgJ67-software-engineer-backend", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$180K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Go", "Kubernetes", "Node.js", "Python", "TensorFlow" ] }, { "id": 71915, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/happyrobot/jobs/atsn2pi-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - 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Its founder says it’s just ‘getting started’ | Fortune", "url": "https://fortune.com/2026/08/04/happyrobot-worth-1-2-billion-founder-says-just-getting-started/", "date": "Aug 04, 2026" }, { "title": "HappyRobot: Automating the Work That Moves the World", "url": "https://www.youtube.com/watch?v=W_UgM6iT7Do", "date": "Sep 03, 2025" }, { "title": "HappyRobot raises $44 million to expand AI agents for freight operators | Reuters", "url": "https://www.reuters.com/technology/happyrobot-raises-44-million-expand-ai-agents-freight-operators-2025-09-03/", "date": "Sep 03, 2025" }, { "title": "Andreessen Horowitz Backs Logistics AI Startup HappyRobot — The Information", "url": "https://www.theinformation.com/briefings/andreessen-horowitz-backs-logistics-ai-startup-happyrobot", "date": "Dec 04, 2024" }, { "title": "Happyrobot, el proyecto español seleccionado por Y Combinator: así lo han conseguido | Business Insider España", "url": "https://www.businessinsider.es/happyrobot-proyecto-espanol-seleccionado-combinator-han-conseguido-1281228", "date": "Aug 01, 2023" } ], "launches": [] }, { "id": 29071, "name": "Cedalio", "slug": "cedalio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/253ca8c2833042159f28652e47d94970cc10b5cc.png", "website": "https://cedalio.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Cedalio is the AI agent platform for the Office of the CFO. We automate procurement, AP, and the data flows behind them — from invoice intake to 3-way match to payment — so finance teams stop doing the work and start governing it.", "one_liner": "AI agents that automate AP, procurement, and finance", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1685752888, "tags": [ "Fintech", "Finance", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cedalio", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cedalio.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cedalio/", "x_url": "https://twitter.com/CedalioTech", "fb_url": null, "cb_url": null, "github_url": "https://github.com/cedalio/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/253ca8c2833042159f28652e47d94970cc10b5cc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1337055, "full_name": "Luciana Reznik", "title": "Founder", "founder_bio": "Luciana is CEO at Cedalio, the AI agent platform for the Office of the CFO. Cedalio automates procurement, accounts payable, and the data flows behind them. Software engineer originally from Argentina, living in the Bay Area since 2018. Previously co-founded Wolox, an end-to-end digital solutions company that was acquired by Accenture in Jan 2021.", "is_active": true, "linkedin_url": "https://linkedin.com/in/lucianareznik", "x_url": "https://twitter.com/LucianaReznik", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b87defc43b3b56797ee4aec96ae067a37e1bbd7a.jpg" }, { "user_id": 1355920, "full_name": "Nico Magni", "title": "Founder", "founder_bio": "Hello! I'm Nico Magni, the Chief Product Officer (CPO) at Cedalio, a database that tracks every application data change, and maintains an immutable and verifiable history. As a software engineer, I am passionate about building innovative solutions that tackle real-world challenges. \n\nI had the opportunity to sell my previous company to Accenture, where I gained invaluable experience in successfully scaling and delivering high-quality products.\n\nCurrently based in Patagonia, Argentina.", "is_active": true, "linkedin_url": "https://linkedin.com/in/nicomagni", "x_url": "https://twitter.com/nicomagni", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b50b0e99062e30e6076be3a4f9199d4d49e1f1c6.jpg" }, { "user_id": 1355935, "full_name": "Guido Marucci Blas", "title": "Founder", "founder_bio": "CTO & co-founder at Cedalio. Previously CTO & co-founder at Wolox (acquired by Accenture). Argentinean. Passionate about building amazing developer experiences, lowering the barrier to entry to web3 and working in the intersection of developer tools and data privacy. When I'm not working I love going outdoors ⛰️, playing the guitar 🤘 and hanging out with friends! ", "is_active": true, "linkedin_url": "https://linkedin.com/in/guidomb", "x_url": "https://twitter.com/guidomb", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e690e1ce5a76e9f177c6960b95b28ba7dc9ee2c0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 75973, "title": "Cedalio: where sustainability meets data", "tagline": "Unify, automate, verify — your trusted data platform for ESG", "body": "Dear YC Community,\n\nWe're elated to present our latest offering. Cedalio's core technology has always been centered around a blockchain-enabled database ensuring data **transparency, verification, and integrity**. With our latest launch, we've taken this a step further.\n\n![uploaded image](/media/?type=post&id=75973&key=user_uploads/1337055/0181388c-9132-4361-9ee1-31ad7602713f)\n\n\\\nKey Features:\n\n* **AI data extraction:** Leverage our AI-powered data extraction capabilities to seamlessly collect information from various sources – from utility bills to supplier forms. Our automated consolidation feature integrates with your existing systems, centralizing all data into a single source of truth. Say goodbye to manual data wrangling and hello to real-time, centralized information.\n* **Radical Transparency:** Trust is the foundation of sustainability. Our platform leverages blockchain technology to create an immutable, auditable trail of your data transactions. Enhance transparency and build credibility with stakeholders, knowing your information is accurate, secure, and tamper-proof.\n* **AI-Assisted Reporting:** Unlock the power of your data with our AI-assisted reporting tools. Generate comprehensive, auditable reports tailored to your specific needs, or export data in your preferred format for in-depth analysis.\n\n\n\nThe development of our product was largely influenced by the feedback and insights we received from our partners in the traceability sector. Their challenges in ensuring transparent ESG reporting and undeniable proof of product origins drove us to create a solution that addresses these pain points head-on.\n\nWe invite you to delve deeper into Cedalio, explore its features, and contact us if you see any way of collaborating.\n\nWarm regards,\n\nThe Cedalio Team", "url": "https://www.ycombinator.com/launches/JlN-cedalio-where-sustainability-meets-data", "votes": 11, "created_at": "2023-11-06T16:05:26.769Z" }, { "id": 72841, "title": "💥 Cedalio — A blockchain empowered alternative to Firebase", "tagline": "Build apps with data that is auditable and verifiable by default", "body": "[Cedalio](https://www.cedalio.com) is a platform that helps you build apps with information that is auditable by default. Data used in your application can be traced back to its origin for verification. Even more, with us you can give your users real ownership and portability of their data across different applications.\n\n## 📚 **TL;DR**\n\n* Cedalio provides companies with the tools to build trust and accountability by offering transparent, auditable data.\n* With Cedalio, organizations prioritizing user privacy can empower users with true ownership of their data, promoting its portability across various applications.\n* By storing access control information on-chain, Cedalio ensures a censorship-resistant database, safeguarding information integrity.\n\n![uploaded image](/media/?type=post&id=72841&key=user_uploads/1337055/6fdf4c1c-3f4b-474e-89b1-66ff7ef1d6ce)\n\n**_Interested? →_** Get started now at [**www.cedalio.com**](http://www.cedalio.com)\\\n**Do you have a new use case in mind? →** Let us know on our [**Discord**](https://discord.gg/kSdhmb9UUT)\\\n**_Do you want how it works under the hood? →_** Read our [**DocSite**](https://docs.cedalio.com/introduction/about-cedalio)\n\n## 👩‍💻 **How do we do it:**\n\n* **Verifiable data:** field-level certifications offers a means to validate the data's integrity, creating trust and assurance in the accuracy of the information.\n* **On chain access controls**: the access control rules are stored in a smart contract, ensuring a censorship-resistant database.\n* **On chain log:** by recording a detailed log of transactions on the blockchain, we enable auditability and the ability to reconstruct the database if needed.\n\n ![uploaded image](/media/?type=post&id=72841&key=user_uploads/1337055/4b89dc51-7589-4412-9563-628a4e601507)\n\n\n## 🤑 **Backed by the best**\n\nSome of our early investors and believers include:\n\n* Y Combinator\n* Guillermo Rauch, CEO @Vercel\n* Esteban Ordano, CEO @Decentraland\n* Demian Brener, CEO @OpenZepellin\n\nFeel free to reach out to us with any questions or to learn more about Cedalio.\n\n_Join our _[_Discord_](https://discord.gg/kSdhmb9UUT)_ or shoot us an email_", "url": "https://www.ycombinator.com/launches/Iwr-cedalio-a-blockchain-empowered-alternative-to-firebase", "votes": 85, "created_at": "2023-07-07T00:02:03.539Z" } ] }, { "id": 29072, "name": "Certainly Health", "slug": "certainly-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/93fd33b253eec852e7690d78d4114094de9ecc0c.png", "website": "https://certainlyhealth.com", "all_locations": "New York City, NY, USA", "long_description": "Patients enter their insurance and visit reason, and we use machine learning to predict and guarantee their out-of-pocket costs for every health provider. For health providers, we ensure their patients always pay the bill.", "one_liner": "Marketplace to book doctors and avoid surprise bills", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1690515660, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare" ], "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/certainly-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/certainly-health.json", "year_founded": null, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/certainly-health/", "x_url": "https://twitter.com/CertainlyHealth", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/certainly-health", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/93fd33b253eec852e7690d78d4114094de9ecc0c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 527933, "full_name": "Kevin Chiu", "title": "Founder", "founder_bio": "Co-founder and CEO of Certainly Health. Previously worked at Uber for 7 years, was a founding member of the Uber Health team which grew to 100m in gross bookings in 2 years.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kevin-chiu-20ba902b", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b2b171bb4d0af3e80087f5489259ca537e1f7ba0.jpg" } ], "jobs": [], "news": [ { "title": "Healthcare price transparency marketplace Certainly Health raises $2.3M", "url": "https://vator.tv/news/2023-12-13-healthcare-price-transparency-marketplace-certainly-health-raises-23m", "date": "Dec 13, 2023" } ], "launches": [ { "id": 73596, "title": "Certainly Health: Marketplace to shop for doctors with upfront out-of-pocket costs", "tagline": "We predict and guarantee out-of-pocket costs using each patient's insurance and ML to prevent surprise bills.", "body": "# **TL;DR**\n\n[Certainly Health](https://certainlyhealth.com/?src=launch_yc) enables patients to shop for doctors by predicting and guaranteeing out-of-pocket costs using their insurance and ML.\n\nFor providers, we guarantee any patient we send them will always pay.\n\n![uploaded image](/media/?type=post&id=73596&key=user_uploads/527933/ae585f7e-1f25-41df-ba1f-0a73df848164)\n\n# **The Problem**\n\n* 38% of Americans delay medical care for fear of the bill and 57% of Americans have received a surprise medical bill.\n* Prices vary from 2-10x across health providers, but patients can’t see upfront prices to choose the most affordable option.\n* 56% of workers have high deductible health plans, increasing every year over the last decade from 30% in 2013, so more people are liable for more of the bill.\n\n# **The Solution**\n\n* Certainly Health is a **marketplace for patients to book doctors with upfront out-of-pocket costs**\n * Enter your insurance to view guaranteed out-of-pocket costs\n * Compare prices across doctors\n * Book the best option for you without worrying about surprise bills\n* Unlocked by the July 2022 **Transparency in Coverage Rule** that requires health insurance companies to publish prices, we predict out-of-pocket costs using:\n * Payer published rates for procedures\n * Patient eligibility/benefits information\n * Online learning model to account for variance across thousands of plans\n\n# **About Us**\n\nWe’ve both received surprise medical bills for thousands of dollars, so solving this problem is personal to us. And we have deep experience building marketplaces.\n\n[Kevin Chiu](https://www.linkedin.com/in/kevin-chiu-20ba902b/) graduated from Stanford before working at Uber for 7 years. During that time, he was a founding member of the Uber Health team which grew to $100m in gross bookings in two years.\n\n[Daryl Sew](https://www.linkedin.com/in/darylsew) graduated from Cornell. He spent 6 years applying AI to self-driving cars and worked at XPeng where he published an ML paper. He then started a YC backed food delivery marketplace that grew to $4m GMV.\n\n# **Our offer**\n\nCertainly Health can be your go-to service for booking doctor appointments with price transparency (only in NYC for now).\n\nWe’ve also added the ability to compare prices and book cosmetic procedures (e.g. Botox, microneedling).\n\n# **Our ask**\n\n* If you need to book a doctor in NYC, please give us a try at [**certainlyhealth.com**](https://certainlyhealth.com/?src=launch_yc)\n * Or if you know anyone who wants to see a doctor in NYC, please share Certainly with them!\n* We would love to connect if you know any health providers who may be interested in getting patients from our platform.\n* We would love to hear your stories of negative healthcare billing experiences as we determine which use cases to focus on\n\nPlease reach out at [founders@certainlyhealth.com](mailto:founders@certainlyhealth.com) if you have any feedback, and let us know what doctors, procedures, or services you would like to see on our website!", "url": "https://www.ycombinator.com/launches/J92-certainly-health-marketplace-to-shop-for-doctors-with-upfront-out-of-pocket-costs", "votes": 66, "created_at": "2023-07-31T13:49:57.234Z" } ] }, { "id": 29073, "name": "Terracotta AI", "slug": "terracotta-ai", "former_names": [ "Monitaur", "Monitaur (Pivoted)", "Monitaur", "OpsBerry AI (formally Monitaur)", "OpsBerry AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7901d3a776bcd60d2813e642a8814ea750bb84ef.png", "website": "https://tryterracotta.com", "all_locations": "Las Vegas, NV, USA", "long_description": "Terracotta AI is an AI-powered Infrastructure as Code PR reviewer for Terraform, OpenTofu, and CDK-TF code, making Infrastructure as Code changes more transparent, less risky, and faster.\r\n\r\nTerracotta stops your Infrastructure as Code deployments from becoming ticking time bombs every time you modify your environment with AI-driven, contextual feedback delivered directly to your pull requests.", "one_liner": "AI-powered Infrastructure as Code PR reviews", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1686680826, "tags": [ "Developer Tools", "DevOps", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "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/terracotta-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/terracotta-ai.json", "year_founded": 2023, "city": "Las Vegas", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tryterracotta", "x_url": "https://x.com/tryterracotta", "fb_url": null, "cb_url": null, "github_url": "https://github.com/enfraxyz", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7901d3a776bcd60d2813e642a8814ea750bb84ef.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/eabe482f39bc0afc6cc8d9d7d476984b577f043f.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 925045, "full_name": "Carlos Feliciano", "title": "Founder", "founder_bio": "Co-founder and CEO of Terracotta AI. Over a decade of experience in Infrastructure, monitoring, and operations at YC-backed startups and large enterprises. AWS Solutions Architect. Love PC gaming, fitness, the beach, and just good vibes!", "is_active": true, "linkedin_url": "https://linkedin.com/in/carlosfelicianoii", "x_url": "https://twitter.com/gtlpanda", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eeaf8878cafd92cf0af4729b52597c4c0f51b0a8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 91358, "title": "Terracotta AI - AI agents for Infrastructure as Code workflows", "tagline": "Intelligent preflight checks for your Infrastructure as Code workflows inside of your PR", "body": "# **tl;dr**\n\nPlatform and DevOps teams are still catching Terraform issues after they break production. Terracotta AI brings AI-powered review directly into PRs, analyzing your code, state, and live cloud resources to prevent problems before any workflow triggers.\n\n**Try Terracotta AI for free at [https://tryterracotta.com](https://tryterracotta.com)!**\n\nhttps://www.youtube.com/watch?v=QyzyiJVeZqU\n\nhttps://www.youtube.com/watch?v=GuSfvcYllZo&t\n\n# **Problem**\n\nEven the simplest Terraform changes can break production in unexpected ways and can take a significant amount of time to debug and fix.\n\nPlatform teams have developed sophisticated DevOps practices, including module catalogs, compliance policies, and continuous integration/continuous delivery (CI/CD) pipelines.\n\nHowever, even with senior engineers reviewing pull requests (PRs), critical issues still slip through, including drift conflicts, hidden dependencies, and blast radius across services that you didn't know were connected.\n\nThe problem isn't a lack of processes. It's that humans can't consistently analyze Terraform changes against live cloud state, remote state, and downstream dependencies simultaneously. Traditional tools catch problems after the PR is approved or deployed, not before.\n\n# **Solution**\n\n![uploaded image](/media/?type=post&id=91358&key=user_uploads/925045/89ae62a4-eb80-4d9e-95d5-e2af0684740a)\n\nWe created a purpose-built AI agent for Infrastructure as Code (IaC) workflows that seamlessly integrates into your IaC pipeline, contextualizing and providing real-time feedback directly within your pull requests.\n\nTerracotta AI analyzes every Terraform change against the most critical contexts in your IaC deployment pipeline and provides accurate, contextual, actionable feedback inside of your PR:\n\n* **Your IaC code** — syntax, structure, linting, and more\n* **Local plan state** — what Terraform thinks will happen\n* **Live remote state** — What should be deployed\n* **Live cloud resources** — what actually is deployed\n\nWe instantly surface the issues that break production:\n\n* Drift and state mismatches\n* Threat vectors and misconfigurations\n* Hidden blast radius and downstream risk\n* Cost anomalies and compliance violations\n* Cross-PR conflicts for resource modifications\n\nEverything happens as soon as the PR opens, before any CI/CD workflow triggers, and serves as an early detection system for hidden risks and issues that might enter your production environment.\n\n# **Traction**\n\nWe're working with platform engineering and DevOps teams at SupportLogic, LaminatedLabs, and others who are catching issues they would have missed and deploying with confidence rather than crossing their fingers.\n\n\"Terracotta has helped my DevOps team ship Terraform faster and with more clarity. It catches cost impacts, exposed secrets, potential threat vectors, and even cross-PR conflicts before we trigger our CI/CD pipelines. It's been a huge win for both speed and compliance and an overall boost in confidence in helping manage Terraform across all our environments.\" - **Tyler Pinckard - Head of Software Engineering, DevOps & Security at SupportLogic**\n\n**SupportLogic Case study:** https://tryterracotta.com/case-study/supportlogic\n\n# **Our ask**\n\nIf your team is tired of Terraform, OpenTofu, and CDK-TF surprises in production, let's show you a 15-minute demo or sign up for a free 14 day trial at https://tryterracotta.com.\n\nEmail us: [founders@tryterracotta.com](mailto:founders@tryterracotta.com)", "url": "https://www.ycombinator.com/launches/NlW-terracotta-ai-ai-agents-for-infrastructure-as-code-workflows", "votes": 16, "created_at": "2025-06-16T22:20:23.169Z" }, { "id": 82694, "title": "OpsBerry AI - Secure your identity sprawl", "tagline": "Defending against identity-driven breaches with AI. ", "body": "![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/926203d7-e2a0-45cd-b97b-d38419a524b4)\n\n**TL; DR** —[OpsBerry AI](https://d2lssd04.na1.hs-sales-engage.com/Ctc/ZW+23284/d2LsSd04/Jks2-6qcW69sMD-6lZ3lyVmsNqH4X0sgdW5TPVYB7bLMr0W6gCpW-7YVgsNW1bvyKV6VTFTXVcRKMB84G-_WW68Bq2C90_lXpW6_BGLs6C_-0yW4lQkxg4FflCWW8rtXpw1ppdmgW2NfKVX6P8tfhW5nXNYm10nsb3W4lyMqq6LVSVZV_cQzJ8LnY0rW5Vt27w62FFv5W2Q4pWc4Z67KLW3kFQKk6ZC34bW68q3RQ3jfwPVW1ztCL98bbKldW685KMM36rzGDW8SMnJ02zDZD_f5nZ8xj04) is an Identity Security Posture Management Platform that uses AI trained with the latest cybersecurity and compliance frameworks to help organizations proactively control, secure, and defend their human and non-human identity sprawl against identity-driven attacks. We help security and engineering teams quickly unify, analyze, and remediate critical vulnerabilities in their identity sprawl into a single pane of glass across central cloud, identity, and ZeroTrust providers.\n\n# **The team**\n\n![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/f8edf5e2-f5ee-4acb-8df8-3284f47601f0)\n\n[**Carlos**](https://www.linkedin.com/in/carlosfelicianoii/) is the company's CEO. He handles the business end, infrastructure, security, architecture, and technical operations. He has over 15 years of experience in Cloud infrastructure, architecture, and observability. Before Y Combinator, Carlos was Director of Solutions Architecture and technical customer success at [OpsRamp](https://opsramp.com), multi-cloud and hybrid observability, and ITSM (acq. by HPE), helping enterprises like Micron, Dolby, Epsilon, and others architect end-to-end observability across their multi-cloud environments. Before that, Carlos was an engineering and technical support manager for [LogDNA](https://mezmo.com) (YC S15).\n\n[**Casey**](https://buildspace.so/) is the company's CTO. With over 16 years of experience architecting and shipping code for his business ventures, Casey started by building and selling Runescape bots when he was 12. This eventually led him into various software engineering roles at YC-backed startups like [Buildspace](https://buildspace.so) and Farmstead. Casey runs the product side of the house, handling UIUX design, software architecture, and development, and ultimately, shipping amazing enterprise code.\n\n# **What is causing the rapid increase in identity-driven breaches and why?**\n\nIdentity security is often overlooked and underestimated, leaving organizations vulnerable to unauthorized access, data breaches, and compliance failures. User-based identities are steadily growing annually at a 30% rate, with most employees having two or more identities that allow access to critical business and engineering systems, which is only part of it. NHIs, or Non-Human identities (think OAuth apps, API keys, Service Accounts, etc.), are increasing even faster at 50%, or said otherwise, four or more NHIs per every employee.\n\nIn 2023 alone, 84% of organizations suffered at least one identity-based attack, which averaged $4.5 million in cost. The number of breaches has grown at a steady 50% yearly since 2020 (Source: ISDA). That's not all; unrealized fallout from these breaches after the fact tends to include legal repercussions, loss of customers, increased security costs, higher insurance premiums, reputational repair, loss of intellectual property, and more.\n\n![](https://www.idtheftcenter.org/wp-content/uploads/2024/01/ITRC-DataBreachReport-2023-Infographic-H-1024x791.jpg.webp)\n\nUser identities are only one attack vector in your identity security posture; machine-based identities like API keys, OAuth apps, service identities, and other NHIs are critical attack vectors for businesses. Partially offboarded identities, orphaned human and non-human identities, identity privilege creep, overprivileged access, and shadow accounts that fly under the radar, like non-sso access, gen-AI tools, and other IT internal systems, eventually snowball out of control and exponentially increase the potential for identity-driven breaches across critical engineering and business environments.\n\nFor businesses struggling to maintain compliance and adhere to regulatory requirements, these unchecked identity issues lead to significant compliance and regulatory problems. Organizations face increased risks of failing audits, substantial fines, and even reputational damage due to their inability to manage and secure their identity sprawl effectively.\n\n# **How does OpsBerry solve this with AI?**\n\nOpsBerry AI defends against human and non-human identity breaches using AI to continuously discover, prioritize, and remediate vulnerabilities and risks in your identity sprawl. Our AI-powered identity security posture management platform, trained with popular cyber security and compliance frameworks, provides comprehensive visibility and contextualization across your user accounts, service accounts, API keys, OAuth apps, and more, keeping your organization safe from identity-driven attacks.\n\n# **How it works**\n\n![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/41846940-aa9e-44ae-948b-39ed31b48d7a)\n\n👀 **Automated Identity risk assessments**—We automatically gather all information about each identity and generate in-depth risk assessments with AI, instantly surfacing gaps, vulnerabilities, and threats.\n\n![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/019721bf-ba26-4e5d-abd6-af44511dabae)\n\n👥 **Shadow identities**—let AI surface the identities that hide in the shadows and quickly identify “unknown unknown” identity risks in your identity secure posture. Quickly surface and remediate shadow accounts across human and non-human identities, such as non-sso user accounts, API Keys and tokens, service accounts, orphaned identities, unmonitored privileged accounts, and more. This is the quickest way to transform hidden risks into strategic cost savings.\n\n![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/ecaaaa23-83bd-40d6-9f1e-d2c3a169e380)\n\n**🌱 Lifecycle management and remediation** are the easiest ways to control and secure your human and non-human identity posture. Drop-and-drop no-code automation lets you build streamlined self-service workflows to quickly onboard and offboard identities, remediate risks, and defend against identity-driven breaches.\n\nAnd much more in the works!\n\n![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/968ba4e4-c7d3-4379-b992-3f6781f46563)\n\n![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/dda6bfd7-7e40-42e1-aca1-1c14c25ec780)\n\n![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/119b7479-a979-48a4-ac8b-2d3b7c3a0fb0)\n\n# **Our ask**\n\nNeed help wrangle your identity sprawl with an identity security platform that’s like having your very own in-house identity security expert? We’d love to work with you!\n\nRegardless of your company size, industry, or role, if you’re serious about protecting against identity breaches and want to take real control of your identity sprawl, we’d love to chat and show you a demo! Email [carlos@opsberry.ai,](mailto:carlos@opsberry.ai) or you can even set a time on our [Calendly](https://calendly.com/opsberry/opsberry).\n\n# Socials\n\n[OpsBerry AI (Y S23)](https://opsberry.ai)\n\n[X](https://x.com/opsberryai)\n\n[Linkedin](https://www.linkedin.com/company/opsberryai)", "url": "https://www.ycombinator.com/launches/LVm-opsberry-ai-secure-your-identity-sprawl", "votes": 34, "created_at": "2024-08-02T19:49:51.530Z" } ] }, { "id": 29074, "name": "Fiber AI", "slug": "fiber-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e7118ffc006ccecf44fec5c8d5c5268024216181.png", "website": "https://www.fiber.ai/apis", "all_locations": "New York City, NY, USA", "long_description": "Fiber AI is the freshest data APIs for AI sales, recruiting, & growth products, with the freshest data on 40M+ companies, 850M+ people, and 30M+ jobs.\r\n\r\nYou can search live company, people, and jobs data via APIs and webhooks for 10x cheaper than People Data Labs, Explorium, Cognism, CoreSignal, and others. We have verified emails and phone numbers for 4x cheaper than Clay, Apollo, and ZoomInfo.\r\n\r\nWe've helped enterprises like HubSpot, Agent AI, Ramp, and Docusign, as well as fast-growing startups like Flatfile, Karat, Centralize, and Fonzi, get the data they need to build novel AI sales, marketing, and recruiting products with differentiated features – for a fraction of the cost of other data vendors.\r\n\r\nOur Bulk API Search lets builders integrate uncapped, advanced API searches deeply into their product. Search through 40M+ companies, 850M+ people, and 30M+ jobs with advanced filtering for 10x cheaper than People Data Labs, Crustdata, Cognism, and others.\r\n\r\nAPI endpoints nobody else has. We have novel API endpoints that you won't find on People Data Labs, Cognism, Crustdata, Explorium, or anywhere else, to:\r\n\r\n- Reverse lookup a work/personal email to a person\r\n- Search for a person/company using partial or incomplete information\r\n- Let AI agents build comprehensive prospect lists from 100+ data sources\r\n- Fetch real-time LinkedIn company and people information\r\n\r\nFiber AI's APIs have been live for 3+ years, and we've helped 100s of enterprises and startups rip and replace their data providers.\r\n\r\n\r\n\r\n\r\n\r\n----------------------------------------------------------------------------------------------------------------------\r\nFor more details:\r\n\r\nFiber AI is a B2B data API provider and data broker for AI sales tools, AI recruiting platforms, AI marketing products, and growth teams.\r\n\r\nWe offer data APIs, data feeds, bulk API search, REST API, and webhooks across 40M+ companies, 850M+ people, and 30M+ jobs – for 10x cheaper than People Data Labs, Crustdata, CoreSignal, Cognism, Bright Data (BrightData), Live Data (LiveData), Explorium, Seamless.ai, Seamless AI, RocketReach, Kaspr, Snov.io, Snov, Uplead, Lead411, and SalesIntel. We also provide verified emails, verified phones, email data, and phone data for 4x cheaper than Clay, Apollo, ZoomInfo, Hunter, Hunter.io, Lusha, ContactOut, Wiza, LeadMagic, Prospeo, FindyMail, Icypeas, FullEnrich, Datagma, Dropcontact, and LeadIQ.\r\n\r\n- Bulk API search for companies, people, and jobs data (uncapped API searches, search API, company search API, people search API, person API, jobs search API, contact search)\r\n- Email API and emails API (email finder, email lookup, bulk email finder, email address finder, email addresses, work email, work emails, business email, business emails, email list, email database)\r\n- Phone API (phone finder, phone lookup, phone number finder, phone numbers, mobile number, mobile numbers, mobile phone, direct dial, direct dials)\r\n- Reverse email lookup API (email to person, reverse lookup, email enrichment, contact enrichment, lead enrichment, CRM enrichment, enrich)\r\n- Email verification API (email validation, email verification, email deliverability, bounce detection, email bounce)\r\n- Phone verification API (phone validation, phone verification, verified phone, verified phones)\r\n- Contact API and contacts API (contact data, contact lookup, contact finder, contact information, B2B contacts, B2B contact, verified contact, verified contacts)\r\n- Real-time LinkedIn data API (LinkedIn company data, LinkedIn profile data, LinkedIn profiles, LinkedIn scraper, LinkedIn scraping, LinkedIn export, Sales Navigator, Sales Navigator export)\r\n- Company data API (B2B company data, company database, company lookup, company information, firmographic data, firmographics, headcount data, funding data, technographic data, revenue data, intent data)\r\n- People data API (B2B contacts, B2B database, contact database, people database, people lookup, people finder)\r\n- Lead data API (lead, leads, B2B leads, prospect, prospects, lead database, prospect data, lead list, prospect list, contact list)\r\n- Jobs data API (open jobs, hiring signals, job listings data, job postings)\r\n\r\nUse cases:\r\nProduct builders integrate our data APIs to build AI SDR tools, AI SDR, AI BDR, AI BDR tools, SDR tools, BDR tools, SDR software, BDR software, SDRs, BDRs, AI recruiting tools, recruiter tools, recruiters, recruitment software, talent acquisition, talent sourcing, candidate sourcing, candidate data, candidates, hiring tool, sales intelligence products, sales intelligence platform, sales data, sales leads, GTM tools, go-to-market platforms, recruiting pipelines, centralized data platforms, TAM builders, ICP list builders, lead generation software, lead gen, leadgen, demand generation, demand gen, prospecting tools, sales prospecting, outbound sales tools, outbound sales, outreach tool, cold outbound, cold outreach, cold email, cold emails, cold calling, email outbound, email outreach, and account-based marketing (ABM) products.\r\n\r\nWhy teams choose Fiber AI over other data providers and data vendors:\r\n\r\n- 10x cheaper than bulk data providers and data brokers (People Data Labs, Crustdata, CoreSignal, Cognism, Explorium, Clearbit, 6sense, Demandbase, ZoomInfo data, Seamless.ai, RocketReach, Kaspr, Snov.io, Uplead, Lead411, SalesIntel, business data, B2B data, live data, real-time data, fresh data)\r\n- 4x cheaper than contact enrichment tools and email enrichment tools (Clay, Apollo, Hunter.io, Lusha, ContactOut, Wiza, LeadMagic, Prospeo, FindyMail, Icypeas, FullEnrich, Datagma, Dropcontact, LeadIQ, data enrichment, phone enrichment)\r\n- 0% email bounce guarantee – if an email bounces, we refund instantly (no other data vendor or data provider offers this)\r\n- Freshest data and live data feeds: company data updated every 2-3 weeks, jobs data every 2-3 days, people data every 1-2 months\r\n- Novel API endpoints nobody else has: reverse email lookup, email to person lookup, partial/incomplete search, real-time LinkedIn fetching, LinkedIn scraper, AI agent prospect list building\r\n\r\nData coverage:\r\n40M+ B2B companies, 850M+ B2B contacts, 30M+ job listings. B2B database with emails, email addresses, phone numbers, mobile numbers, direct dials, and contact information sourced from 100+ providers including LinkedIn, Crunchbase, BuiltWith, and more.\r\n\r\nWe help AI sales tools, AI recruiting platforms, AI recruiting tools, recruiters, recruitment platforms, sales automation tools, recruiting automation, lead enrichment products, email enrichment tools, phone enrichment services, data enrichment platforms, lead scoring tools, and GTM teams get the B2B data, contact data, email data, phone data, lead data, and prospect data they need via simple, affordable data APIs, data feeds, and webhooks.\r\nWe have B2B company data on 40 million B2B companies and 850 million B2B contacts (i.e. B2B database), sourced from dozens of data providers (i.e. think sources like BuiltWith, Crunchbase, LinkedIn, ZoomInfo, SemRush, Apollo data, and more). This allows you to precisely segment your audience by the companies you care about and exclude everyone else. Our audiences are dynamic (i.e., account based marketing, account based sales, ABM like Clearbit, 6sense, Demandbase), meaning we continuously look for prospects matching your targeting criteria and add them to your audience to run automated outbound sales sequences. This automates manual workflows you might be running on platforms like Clay or Persana. You can also create an audience once based on intent signals (i.e., GTM or go-to-market signals, sales intelligence) and put your outreach on autopilot.\r\n\r\nThis is why RevOps, sales, growth, recruiting, and outbound teams choose us to power their AI SDR platforms (examples of these platforms that could use Fiber AI include artisan ai, 11x, amplemarket, reply.io, unify gtm, penguin ai, regie ai, aisdr, artisan sdr, outreach io, and warmly ai - many of these have used or currently use us), existing lead databases (email enrichment, bulk email finder, or phone enrichment tools like apollo, zoominfo, leadIQ), and contact enrichment tools (clay, persana ai) that promise automation and enrichment but deliver poor results.", "one_liner": "The freshest data APIs for AI sales, recruiting, & growth products", "team_size": 8, "industry": "B2B", "subindustry": "B2B", "launched_at": 1689840885, "tags": [ "Generative AI", "SaaS", "Recruiting", "Sales", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/fiber-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/fiber-ai.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/fiberai/", "x_url": "https://twitter.com/Fiber_AI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e7118ffc006ccecf44fec5c8d5c5268024216181.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": 1005029, "full_name": "Adi Agashe", "title": "Founder", "founder_bio": "CEO of Fiber AI. 3-time global bestselling author of \"Swipe to Unlock,\" \"Bubble or Revolution?\", and \"PM's Sacred Seven\" which have been translated into 11 languages. Prev. built a profitable 7-figure e-commerce business, and spent 5 years as a Product Manager at Microsoft growing Azure hybrid revenue. Graduated from Cornell University (computer science) as a Rawlings scholar (top 1.5%).", "is_active": true, "linkedin_url": "https://linkedin.com/in/adityaagashe", "x_url": "https://twitter.com/AdiAgashe", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a33b926e351fa0469e8689a5a7bf87ba88c1293.jpg" }, { "user_id": 1006093, "full_name": "Neel Mehta", "title": "Founder", "founder_bio": "Neel is the CTO at Fiber AI and a former APM (later PM) at Google. He is also the three-time bestselling author of \"Swipe to Unlock,\" \"Bubble or Revolution?\", and \"Product Management's Sacred Seven;\" he then built a profitable 7-figure e-commerce business. Neel graduated in the top 5% of his class at Harvard University, where he studied computer science and was a John Harvard Scholar.\n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/neel-a-mehta", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6bdc61df95ef4038572156a71e7bd5d74da2995d.jpg" } ], "jobs": [], "news": [ { "title": "Fiber AI automates sales outreach & scales to $1M+ ARR with Elastic | Elastic Customers", "url": "https://www.elastic.co/customers/fiberai", "date": "Aug 12, 2025" }, { "title": "Meet The 30 Under 30 Marketing & Advertising Class Of 2024—From AI Startups To A Chief TikTok Officer", "url": "https://www.forbes.com/sites/emmylucas/2023/11/28/meet-the-30-under-30-marketing--advertising-class-of-2024-from-ai-startups-to-a-chief-tiktok-officer/", "date": "Nov 23, 2023" } ], "launches": [ { "id": 105590, "title": "🔔 Fiber AI – Track any changes on companies and people", "tagline": "Know the exact moment your ICP hires, launches, switches jobs, raises, or posts.", "body": "## 🏆 TL;DR\n\n[**Fiber AI Trackers**](https://www.fiber.ai/trackers) monitor 40M+ companies and 850M+ people across **45+ tracking rules** and fires an **instant webhook the moment something changes:** revenue growth, new funding round, a key hire for your ICP, a prospect's promotion, a LinkedIn post about a pain point you solve, comments on a competitor’s Twitter/LinkedIn post, etc.\n\nEvery alert has **full context** on what changed, who's involved, and why it matters.\n\nWe're **10x cheaper**, we have **35+ more signals** than competitors, and **don’t charge per seat** or have **no minimums**.\n\n![uploaded image](/media/?type=post&id=105590&key=user_uploads/1005029/72c22730-6e86-4d85-94e8-364c63ec5ece)\n\n**We've helped enterprises like HubSpot, Agent AI, Ramp, and Docusign**, as well as fast-growing startups like Emergent, Exa, Cardinal, Karat, Flatfile, Centralize, and Fonzi, get the data they need to build novel AI sales, marketing, and recruiting flows with differentiated features, all for a fraction of the cost of other data vendors.\n\n**Sign up for free: [https://www.fiber.ai/trackers](https://www.fiber.ai/trackers)**\n\n![uploaded image](/media/?type=post&id=105590&key=user_uploads/1005029/f297272a-f38c-4064-a881-d5e9876a1ade)\n\n## 🔔 45+ tracking rules — the broadest catalog anywhere\n\n**25+ Company rules:** technologies added, layoffs, HQ/office moves, acquisitions, headcount thresholds & growth, job postings by keyword/function/title, funding rounds, news by keyword, LinkedIn posts/comments/reactions, follower growth.\n\n**23+ People rules:** changed companies, got promoted (or demoted), entered or left stealth, open-to-work toggled, title & certification changes, posts/comments/reactions, posts/comments by keyword, connection & follower milestones\n\nThe majority of these signals are available only Fiber, **no other provider has them.**\n\n![uploaded image](/media/?type=post&id=105590&key=user_uploads/1005029/43a7a2ce-9ff5-4d7d-b8e9-361b5e60e137)\n\n## ⚡ Alerts with full context\n\nEvery alert arrives as clean JSON with the full story: what changed, who's involved, and why it matters. That way, you can store it straight into your CRM, Slack, or your AI sales/recruiting Agents.\n\nWe have built-in retries and deduplication, so you will never miss an update on your ICP, and you can compare against snapshots up to 90 days back to catch slow-building trends.\n\nReceive pushes via webhooks, browse in the in-app dashboard, or pull via REST API.\n\n![uploaded image](/media/?type=post&id=105590&key=user_uploads/1005029/9d136a76-7874-4027-b36a-87ac371e643a)\n\n## 💸 Simple, transparent pricing\n\nPay only for what you monitor: per entity, per check. **No seats, no minimums.**\n\nThe more you track and the more often you check, the less you pay. See our pricing calculator here: \n\nWe’re **10x cheaper** than others and our people graph is 850M+ which is \\~2-3x larger than competitors.\n\n![uploaded image](/media/?type=post&id=105590&key=user_uploads/1005029/b1e3ab43-fb41-4f80-a5fe-b147782ea71b)\n\n# **💯 The Team**\n\nAdi Agashe (CEO) & Neel Mehta (CTO) are the 3-time global bestselling authors of \"Swipe to Unlock,\" \"Bubble or Revolution?\", and \"PM's Sacred Seven\" which have been translated into 11 languages. Previously, they were Product Managers at Microsoft and Google.\n\n# **🙏 Ask**\n\n**Please make a warm introduction to a AI sales and recruiting companies and teams that need data APIs! My email is: adi \\[at\\] fiber \\[dot\\] ai and cal: [https://calendly.com/adi-agashe/](https://calendly.com/adi-agashe/)**\n\n**Fiber AI’s APIs [https://www.fiber.ai/apis](https://www.fiber.ai/apis) have** been live for 3+ years, and we’ve **helped 300+ enterprises and startups rip and replace their data providers.**\n\nWe're confident that we'll not only save you money on bulk search and contact data, but also get better data quality than your current data vendors.\n\n![uploaded image](/media/?type=post&id=105590&key=user_uploads/1005029/e5c2bdc2-8432-448c-b4a5-42f710a9af38)\n\n", "url": "https://www.ycombinator.com/launches/RT4-fiber-ai-track-any-changes-on-companies-and-people", "votes": 894, "created_at": "2026-07-13T16:41:31.954Z" }, { "id": 96929, "title": "🌿 Fiber AI – Freshest data APIs for AI sales, recruiting, & growth products.", "tagline": "Replace multiple API data vendors.", "body": "# 🏆 **TL;DR**\n\n[**Fiber AI**](https://www.fiber.ai/apis) is a comprehensive data provider with the freshest data on **40M+ companies, 850M+ people, and 30M+ jobs.**\n\nYou can search live company, people, and jobs data via APIs and webhooks for **10x cheaper** than People Data Labs, Explorium, Cognism, CoreSignal, & others. We have verified emails & phones for **4x cheaper** than Clay, Apollo, and ZoomInfo.\n\n![uploaded image](/media/?type=post&id=96929&key=user_uploads/1005029/ed50d4fa-91d6-48da-99d4-9c2ff640f340)\n\n**We've helped enterprises like HubSpot, Agent AI, Ramp, and Docusign**, as well as fast-growing startups like Flatfile, Karat, Centralize, and Fonzi, get the data they need to build novel AI sales, marketing, and recruiting flows with differentiated features – for a fraction of the cost of other data vendors.\n\n![uploaded image](/media/?type=post&id=96929&key=user_uploads/1005029/e184a0f3-ccdd-4435-aa47-219255d6db86)\n\n# **❌ The Problem**\n\n**Data providers force you to pay for data you don't need.** Existing data providers like People Data Labs, CoreSignal, Cognism, and Crustdata sell you bulk data for $20,000—$40,000+ per month.\n\n**Product builders want to make uncapped API searches** to integrate company, jobs, and people data seamlessly into their products. They don't want to aggregate bulk datasets, clean the data, and recreate an entire search experience.\n\n**Contact data is expensive and data quality is bad.** You pay premium prices to get outdated emails and disconnected phone numbers. The lack of data verification means you suffer from high bounce rates.\n\n# 🌟 Our Solution\n\n**Bulk API Search lets builders integrate _uncapped_, advanced API searches deeply into their product.** Search through 40M+ companies, 850M+ people, and 30M+ jobs with advanced filtering for **10x cheaper** than People Data Labs, Crustdata, Cognism, and others.\n\n![uploaded image](/media/?type=post&id=96929&key=user_uploads/1005029/40fd45de-1806-4db9-ab4b-99cbebbaee5e)\n\n**API endpoints nobody else has.** We have novel API endpoints that you won’t find on People Data Labs, Cognism, Crustdata, Explorium, or anywhere else, to:\n\n* reverse lookup a work/personal email to a person\n* search for a person/company using partial or incomplete information\n* let AI agents build comprehensive prospect lists from 100+ data sources\n* fetch real-time LinkedIn company and people information\n* and many more\n\n![uploaded image](/media/?type=post&id=96929&key=user_uploads/1005029/1430bd26-2f83-4863-94e4-e5531d122988)\n\n# **💯 The Team**\n\nAdi Agashe (CEO) & Neel Mehta (CTO) are the 3-time global bestselling authors of \"Swipe to Unlock,\" \"Bubble or Revolution?\", and \"PM's Sacred Seven\" which have been translated into 11 languages. Previously, they were Product Managers at Microsoft and Google.\n\n# **🙏 Ask**\n\n**Please make a warm introduction to a AI sales, recruiting, marketing, & gtm teams that need data APIs! My email is: adi \\[at\\] fiber \\[dot\\] ai and cal: [https://calendly.com/adi-agashe/](https://calendly.com/adi-agashe/)** \n\n**Fiber AI’s APIs [https://www.fiber.ai/apis](https://www.fiber.ai/apis) have** been live for 3+ years, and we’ve **helped 100s of enterprises and startups rip and replace their data providers.**\n\nWe're confident that we'll not only save you money on bulk search and contact data, but also get better data quality than your current data vendors.\n\n![uploaded image](/media/?type=post&id=96929&key=user_uploads/1005029/fcdb4355-c8b4-48e6-9393-ff9ce37d4ef6)\n\n", "url": "https://www.ycombinator.com/launches/PDN-fiber-ai-freshest-data-apis-for-ai-sales-recruiting-growth-products", "votes": 1049, "created_at": "2026-01-19T16:28:32.204Z" }, { "id": 92385, "title": "🤝 Fiber AI - Verified phones & emails 4x cheaper than Clay. Better search than LinkedIn.", "tagline": "Highest quality data provider for sales, marketing, recruiting, & growth teams.", "body": "## **🏆 TL;DR:**\n\n[**Fiber AI**](https://www.fiber.ai/) is a comprehensive email and phone data provider offering verified contact information at **4x lower cost than Clay, Apollo, and ZoomInfo.** We provide better search capabilities than LinkedIn across **40M+ companies, 850M+ people, and 13M+ jobs** with maximum data yield and accuracy.\n\n![uploaded image](/media/?type=post&id=92385&key=user_uploads/1005029/4265f87e-e642-4751-bdf7-b5a1aa8bb443)\n\n**We’ve helped enterprises like Ramp, Docusign, & Flatfile**, as well as fast-growing startups, get the data they need for sales, marketing, and recruiting at a fraction of the cost. **Our customers have generated millions in pipeline using our data.**\n\n![uploaded image](/media/?type=post&id=92385&key=user_uploads/1005029/2a0c0c27-7ced-47aa-a64b-68656f550206)\n\n## **❌ The Problem**\n\n**Search capabilities are limited.** LinkedIn's search is restrictive and doesn't give you advanced filters for companies, jobs, people. You waste hours navigating different tools just to build a decent prospect list.\n\n**Contact data is expensive and data quality is bad.** You pay premium prices only to get outdated emails, disconnected phone numbers, and incomplete profiles. The lack of data verification means your outreach campaigns suffer from high bounce rates and wasted effort.\n\n## **🌟 Our Solution**\n\n**Superior search across massive datasets.** Search through **40M+ companies, 850M+ people, and 13M+ jobs** with advanced filtering that surpasses LinkedIn's capabilities. Our interface is built for speed and precision, letting you find exactly who you're looking for in seconds.\n\n![uploaded image](/media/?type=post&id=92385&key=user_uploads/1005029/4bbac56f-22aa-4b2e-9a03-e3f46de1e4c5)\n\n**Maximum yield at 4x lower cost.** Our AI agents continuously update our massive database of 40M+ companies, 850M+ professionals, and 13M+ open job listings, with 100+ premium data sources refreshing tens of thousands of data points every second.\n\n![uploaded image](/media/?type=post&id=92385&key=user_uploads/1005029/882f9a8d-f315-41cd-b38e-815c8ed0b1c1)\n\n**0% Email Bounce Guarantee.** We run your contacts through industry-optimized waterfalls. With 16+ data providers and validators, we dramatically increase the quality of your contact lists, while still being 80% cheaper than the competition.\n\nIf an email ever bounces, DM us and we'll refund the credit on the spot – no forms, no fuss.\n\n![uploaded image](/media/?type=post&id=92385&key=user_uploads/1005029/d39ba26b-c50f-4168-8e48-3c8d7f54b4f5)\n\n## **💯 The Team**\n\nAdi Agashe (CEO) & Neel Mehta (CTO) are the 3-time global bestselling authors of \"Swipe to Unlock,\" \"Bubble or Revolution?\", and \"PM's Sacred Seven\" which have been translated into 11 languages. Previously, they were Product Managers at Microsoft and Google.\n\n## **🙏 Ask**\n\n**Please make a warm introduction to a B2B business that needs help building audiences! My email is: adi \\[at\\] fiber \\[dot\\] ai**\n\n**Fiber AI is live and ready to use right now at [https://www.fiber.ai/](https://www.fiber.ai/).** We're confident that we'll not only save you money on contact data, but also help you find better prospects faster than your current process.", "url": "https://www.ycombinator.com/launches/O25-fiber-ai-verified-phones-emails-4x-cheaper-than-clay-better-search-than-linkedin", "votes": 1403, "created_at": "2025-07-24T15:42:17.276Z" }, { "id": 73254, "title": "🤝 Fiber AI - Automate SDR and BDR prospecting & outbound sales workflows using AI.", "tagline": "Drive revenue growth faster with AI-powered outbound sales automations", "body": "### **🏆 TL;DR:**\n\n[**Fiber AI**](https://fiber.ai/) **automates SDR and BDR prospecting & outbound sales workflows using AI.** Enterprises choose our AI sales platform because we automatically find prospects, research them, and hyper-personalize outbound messages that get 80% open rates, which is 4x the industry standard.\n\nAs successful 7-figure e-commerce entrepreneurs, we manually hacked together outbound sales automations across several point solutions to scale our last business. In contrast, when we worked at Microsoft and Google, not a single employee touched outbound sales directly—instead, each organization hired different vendors that managed and configured different tools. \n\nWitnessing this firsthand, we’re uniquely positioned to build a platform that automates outbound sales workflows for enterprises. \n\n### **💯 The Team**\n\n![uploaded image](/media/?type=post&id=73254&key=user_uploads/1005029/331974d7-79bb-4e22-ac12-b3a140007967)\n\n[**Adi Agashe**](https://www.linkedin.com/in/adityaagashe/) **(CEO)** and [**Neel Mehta**](https://www.linkedin.com/in/neel-a-mehta/) **(CTO)** are the 3-time global bestselling authors of \"[Swipe to Unlock](https://www.amazon.com/Swipe-Unlock-Technology-Business-Strategy/dp/1976182190),\" \"[Bubble or Revolution?](https://www.amazon.com/Blockchain-Bubble-Revolution-Present-Cryptocurrencies-ebook/dp/B07T13GP1Q/)\", and \"[PM's Sacred Seven](https://www.amazon.com/Product-Managements-Sacred-Seven-World-Class/dp/0578740583/)\" which have been translated into 11 languages. They have worked together for the last 8 years and built a profitable 7-figure e-commerce business.\n\nAdi spent 5 years as a growth Product Manager at Microsoft, scaling Azure hybrid revenue. He graduated from Cornell University, where he studied computer science and was a Rawlings scholar (top 1.5%).\n\nNeel was an APM (later PM) at Google, working on Google Search. He graduated in the top 5% of his class at Harvard University, where he studied computer science and was a John Harvard Scholar.\n\n### **❌ The Problem**\n\n**Most businesses’ deliverability rates are horrible.** There are 40+ common pitfalls that land your emails in spam. Founders are not aware of these hazards, which are often technical in nature, and commit blunders that affect their domain and email health long-term.\n\n![uploaded image](/media/?type=post&id=73254&key=user_uploads/1005029/45cec696-826a-4361-822f-1346e748ddcd)\n\n**Finding relevant prospects is tedious and constantly changing.** When building a lead list, you have to manually gather data from several data sources and figure out triggers to prune this list so that your offer is relevant. Generating quality leads is extremely time-consuming and eats up 40% of a SDR’s time. What’s even more frustrating is that by the time you reach out, your offer may not be relevant anymore since the window of opportunity is often short. \n\n**Writing personalized emails is a massive bottleneck.** Researching each lead and writing highly personalized emails that are going to get opened requires 10 to 20 minutes per email on average. This is not scalable, which is why many businesses blast generic templates, which have horrible open and response rates.\n\n### **🌟 Our Solution**\n\n**Fiber AI manages domain and email health to get 80% open rates.** We automatically configure your DNS records, warm-up your emails, orchestrate emails to send optimally across all of your accounts, run multi-layer email bounce detection, and modify each outgoing email to ensure it doesn’t set off spam filters. \n\n**We automate lead generation with dynamic audiences.** We pull in data from 50+ data providers, including BuiltWith, Crunchbase, LinkedIn, Alexa, and more, so that you can segment your audience precisely by the companies you care about and exclude everyone else. Our audiences are dynamic, which means we will continuously look for prospects matching your targeting and add them to your audience to run our automated outbound sales sequences. Create an audience once, and put your outreach on autopilot.  \n\n![uploaded image](/media/?type=post&id=73254&key=user_uploads/1005029/41bb740f-e065-447d-8088-f2e9bc19802b)\n\n**AI-powered hyper-personalized emails to boost response rates.** The biggest debate in sales is choosing between relevancy and personalization—now you don’t have to. We search far and wide to find the “golden nugget” of information to connect with your prospect, and then use GPT-4 to write hyper-personalized email sequences to dramatically increase response rates.\n\n![uploaded image](/media/?type=post&id=73254&key=user_uploads/1005029/f9bddae2-962d-4cae-8980-cba49bf55c25)\n\n# 🙏 Ask\n\n**If you know a B2B business in your network that’s looking to scale their outbound sales, please make a warm introduction!** **My email is:** **adi \\[at\\] fiber \\[dot\\] ai**\n\n[**Fiber AI**](https://fiber.ai/) **is usable right now**. We’re confident that we’ll not only automate your outbound sales workflows, but also will be able to drive revenue growth faster than your existing process.", "url": "https://www.ycombinator.com/launches/J3W-fiber-ai-automate-sdr-and-bdr-prospecting-outbound-sales-workflows-using-ai", "votes": 556, "created_at": "2023-07-20T13:42:44.538Z" } ] }, { "id": 29078, "name": "RecipeUI", "slug": "recipeui", "former_names": [ "Convi", "Toph", "RecpeUI", "RecipeUI", "RecipeUI`", "RecipeUI", "RecipeUI`" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7580790de28f6334e2dd731c6927dfdedd2ba02a.png", "website": "https://recipeui.com", "all_locations": "San Francisco, CA, USA", "long_description": "The first version of RecipeUI was a viral project at Robinhood that reached 100% adoption from all engineering and QA teams. When an API broke, anyone from Frontend to QA to PMs could debug without relying on backend engineers", "one_liner": "The open source Postman alternative.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1691613832, "tags": [ "Developer Tools", "Open Source", "API" ], "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/recipeui", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/recipeui.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/recipeui/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/RecipeUI/RecipeUI", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7580790de28f6334e2dd731c6927dfdedd2ba02a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1139854, "full_name": "Samuel San", "title": "Founder", "founder_bio": "Hey! I was a product manager at Coinbase and Apple and studied software engineering at the University of Waterloo. I also did a bunch of internships at Meta, Microsoft, Shopify, and startups.", "is_active": true, "linkedin_url": "https://linkedin.com/in/samuelsan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7865a458ddd4da163252205d598f22c4eba5d6ae.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 74274, "title": "RecipeUI - Open source Postman alternative", "tagline": "The API tool for teams", "body": "Hey, this is Jeane and Samuel from RecipeUI.\n\nWe’re building an API testing experience that works for the whole team (Devs, PMs, QA, Ops). Try it out at .\n\n![uploaded image](/media/?type=post&id=74274&key=user_uploads/1139854/36a01c9b-6c4c-4b88-a87d-a9575cf0bd33)\n\nJeane built the first version of this at Robinhood when he saw his colleagues struggle to use and test internal APIs. It went viral and was adopted by near 100% of the engineering org, QA, and support teams, saving countless hours in testing.\n\n**Problem ❌**\n\nWe rarely hear: “Wow, this API was easy to run.”\n\nInstead you have..\n\n* **Complex onboarding:** Each teammate onboards onto an API differently. Some struggle with auth, some with params.\n* **Designed for developers only:** API tools are not built to be easily used by the whole team. Non-engineering teams need access to API tooling as well like QA, support, and product.\n* **Poor documentation:** Documentation is scattered across code, slack, and wikis. You shouldn't need a meeting just to figure out how an API works.\n\n**Solution ✅**\n\nEnable anyone to test APIs in seconds with a click of a button. \n\n* **Easy setup:** Quickly use new APIs with user-friendly forms for parameter input. \n* **Designed for collaboration:** Create and share Recipes (example API use cases) that run without needing any authentication.\n* **Add APIs in minutes:** Just import your YAML files and we’ll auto convert them into documented APIs for anyone to test.\n\nWatch our [demo](https://www.youtube.com/watch?v=Ce9g7N1V76U):\n\n**Our Asks:**\n\n📢 Book a demo to see how RecipeUI can work for your team: \n\n🌟 Star our GitHub: \n\n🚀 Test out some APIs on RecipeUI. Create Recipes and share them on social!", "url": "https://www.ycombinator.com/launches/JJy-recipeui-open-source-postman-alternative", "votes": 36, "created_at": "2023-08-21T19:10:28.054Z" } ] }, { "id": 29079, "name": "Tiptap", "slug": "tiptap", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ea1ff4314cdf63ee3867e1d262f8d1119847e40.png", "website": "https://tiptap.dev/", "all_locations": "Berlin, Berlin, Germany", "long_description": "Tiptap is a suite of open source content editing and real-time collaboration tools for developers building apps like Notion or Google Docs. It’s used by thousands of businesses worldwide, including LinkedIn, GitLab, Axios, and Anthropic.", "one_liner": "The open-source document editor for humans and AI agents.", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1687103873, "tags": [ "Developer Tools", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Germany", "Europe", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tiptap", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/tiptap.json", "year_founded": 2022, "city": "Berlin", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/tiptapdev/", "x_url": "https://twitter.com/tiptap_editor", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/tiptap-75b3", "github_url": "https://github.com/ueberdosis/tiptap", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ea1ff4314cdf63ee3867e1d262f8d1119847e40.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": 1335640, "full_name": "Philip Isik", "title": "Founder", "founder_bio": "Philip is the co-founder and co-CEO of Tiptap, where he is responsible for the company's strategy, sales, and business development. With a decade of industry experience, Philip's passion for creating intuitive and transformative digital experiences led him to grow Tiptap from an open source side project at his digital consultancy into a venture-backed startup.", "is_active": true, "linkedin_url": "https://linkedin.com/in/philip-isik-688307123", "x_url": "https://twitter.com/PhilipIsik", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e2f831917fb4b95a1977e2df5882a6791f2c6484.jpg" }, { "user_id": 1350130, "full_name": "Sven Adlung", "title": "Founder", "founder_bio": "Sven is a co-founder and lead frontend developer at Tiptap, where he brings over twenty years of experience in app and web development. Specializing in frontend development, he focuses on the Tiptap Editor and its cloud services.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sven-adlung-b343b696", "x_url": "https://twitter.com/svenadlung", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c99fee3341fe98fa622c37677d3c5e637ef72efe.jpg" }, { "user_id": 1347229, "full_name": "Patrick Baber", "title": "Founder/Lead Cloud Engineer", "founder_bio": "Patrick is the co-founder and DevOps of Tiptap, which he started with five other founders in 2022. With more than a decade of experience, he is responsible for the IT infrastructure, defines the software architecture, and drives the mission to simplify the development of collaborative apps. Originally from East Germany, Patrick earned a degree in business economics.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/patrick-baber-a0247027b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/86129959b360198f49a86d9319fc409c8a62ac90.jpg" }, { "user_id": 1351520, "full_name": "Nick Hirche", "title": "Founder", "founder_bio": "Nick is a co-founder and lead UX/UI designer at Tiptap, where he is responsible for the visual appearance and product conception. With more than a decade of experience in the industry, he can quickly grasp complex problems and turn them into new product ideas. These are garnished with amazing design.", "is_active": true, "linkedin_url": "https://linkedin.com/in/nick-hirche-622a2a216", "x_url": "https://twitter.com/NickHirche", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b43debffb0162e46f06762c20031fdcf8546c92d.jpg" }, { "user_id": 1341997, "full_name": "Timo Isik", "title": "Founder", "founder_bio": "Timo is a co-founder and lead backend developer at Tiptap where he mainly works on collaboration and cloud services. He holds over ten years of diverse experience in software engineering and specializes in the backend part of applications.", "is_active": true, "linkedin_url": "https://linkedin.com/in/timo-isik-6b2956197", "x_url": "https://twitter.com/timoisik", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d22e3026f7082a839141c7266be88dab70b9e19.jpg" }, { "user_id": 1350259, "full_name": "Sebastian Schrama", "title": "Founder", "founder_bio": "Sebastian is the co-founder and co-CEO of Tiptap. With over a decade of experience in the freelance and entrepreneurial world, he has honed his skills in finance and operations. His diverse expertise has shaped his role at Tiptap, where he navigates the company’s financial health and operational efficiency.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sebastian-schrama-0a1112255", "x_url": "https://twitter.com/JohnnySchlecker", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20175ab29eae3b6deea06ae3ebba22760fae3df1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94631, "title": "Bidirectional Markdown Support for Tiptap", "tagline": "The text editor that speaks the language of LLMs: Markdown!", "body": "Hi everyone, we’re the team behind Tiptap, the open source text editor framework used by thousands of developers to build rich text and AI-powered writing tools.\n\nWe just launched **bidirectional Markdown support!** You can now import Markdown into Tiptap and export your editor content back to Markdown, without losing structure or formatting.\n\n![uploaded image](/media/?type=post&id=94631&key=user_uploads/1335640/a7c2a608-e669-4e56-bf8c-05fdece38c47)\n\n### **The problem**\n\nMarkdown is becoming the common language for AI and LLM-based workflows.\\\nWhen you feed prompts, train models, or structure outputs, they often rely on Markdown. But most editors don’t handle it well. Converting between Markdown and rich text is lossy, inconsistent, and full of edge cases.\n\nDevelopers who build AI tools, documentation platforms, or note-taking apps need a way to work _natively_ with Markdown without giving up modern editing experiences.\n\n### **How we’re solving it**\n\nWith this release, Tiptap makes Markdown a native format. You can:\n\n* **Parse** Markdown content into Tiptap's ProseMirror-based JSON for editing,\n* **Serialize** your Tiptap content back to multiple variants of Markdown,\n* **Use it client-side or server-side** via the MarkdownManager,\n* **Define custom Markdown** syntax for your custom nodes and marks,\n\n### **How to try it**\n\n1. Install the Markdown package via _@tiptap/markdown_\n2. Either setup the _MarkdownManager_ and directly parse and serialize it or import the _Markdown_ extension and extend your editor instance with Markdown features\n3. Use the serialized and parsed content in your apps (for example parsing file contents or AI streams)\n\n### **Why this matters**\n\nAs AI tools grow, Markdown is quickly becoming the glue between humans and LLMs. Writers, developers, and apps need a format both people and models can read and write.\n\nBy making Markdown fully bidirectional, Tiptap bridges that gap, giving developers a foundation to build the next generation of editors, copilots, and AI-native content tools.\n\n### **Call to action**\n\nIf you’re building AI products or content tools that use Markdown, try it out and tell us how it fits into your stack.\n\nDocs: https://tiptap.dev/docs/editor/markdown/ \n\nYou can reach us at [humans@tiptap.dev](https://mailto:humans@tiptap.dev) or discuss on [GitHub](https://github.com/ueberdosis/tiptap/discussions)", "url": "https://www.ycombinator.com/launches/OcJ-bidirectional-markdown-support-for-tiptap", "votes": 12, "created_at": "2025-10-14T17:57:43.333Z" }, { "id": 94225, "title": "Tiptap Pages: Word-style layouts in your editor", "tagline": "Headers, footers, and pagination without rebuilding Word.", "body": "Hey everyone! Philip here, Co-founder at [Tiptap](https://tiptap.dev), the open-source text editor framework used by thousands of dev teams to build collaborative and smart editors.\\\n\\\nWe’ve launched **Tiptap Pages** into live beta, a new extension that adds pagination, page layouts, headers, footers, and structure to your Tiptap editor.\n\nIf you’re building anything that looks like a document editor but ends up hacked together in an infinite scroll, this is for you.\n\n![uploaded image](/media/?type=post&id=94225&key=user_uploads/1335640/3d14271b-bf90-4e24-8d48-800403fdcc21)\n\n### **The Problem**\n\nMost rich text editors treat documents as one long, continuous scroll.\n\nThat works for notes. But not for:\n\n* Contracts with signature blocks that must land on the right page\n* RFPs and government proposals with strict page counts\n* Exams, policies, or legal docs where structure really matters\n* PDFs that actually need to look like the document you typed\n\nAdding “real” document behavior (pages, breaks, headers, print formatting) is hard to maintain.\n\n### **What We Built**\n\nTiptap Pages brings page awareness to your editor.\n\n**Visual page layouts**\\\nChoose A4, Letter, Legal, or define your own. Layouts reflect actual document dimensions.\n\n**Smart pagination**\\\nContent flows across pages with clean, logical breaks\n\n**Dynamic headers and footers**\\\nInsert page numbers, section names, document metadata, and custom elements.\n\n**Custom node support**\\\nBuild and export structured content the way your product needs it, including callouts, exhibits, and embeds.\n\n**Built for developers**\\\nExtend behavior, apply custom styling, and integrate deeply with your stack.\n\nPages is now available on **Team** and **Growth** plans.\n\n![uploaded image](/media/?type=post&id=94225&key=user_uploads/1335640/1a13e116-ecec-40f4-bb07-6c08e0b9005b)\n\n### **See It in Action**\n\n* **Product Overview:** https://tiptap.dev/docs/pages/getting-started/overview\n* **Live Demo:** https://feature-pages-extension--tiptap-pro.netlify.app/src/extensions/pages/react/\n* **Join our Discord:** https://tiptap.dev/discord\n\n### **Why We Built It**\n\nDocs still matter, especially in verticals like legal, fintech, govtech, insurtech, and education. But those documents don’t live in Word forever. They’re part of the tools you’re building.\n\nTeams using Tiptap were already trying to force structure into an unstructured model. We built Pages to give them something better, not just for writing, but for layout, formatting, and final delivery.\n\nIf you’ve ever faked a page break with extra line breaks… you get it.\n\n### **Our Ask**\n\nWe’d love feedback from developers building products with structured documents.\n\n* Try the demo and tell us what breaks.\n* Share what your team would need next (collaboration? AI? export formats?).\n* If you’re in one of the verticals above, let’s chat.", "url": "https://www.ycombinator.com/launches/OVl-tiptap-pages-word-style-layouts-in-your-editor", "votes": 25, "created_at": "2025-09-30T14:00:38.501Z" }, { "id": 91336, "title": "Tiptap – Better DOCX Import & Export", "tagline": "The missing DOCX layer for your text editor infrastructure.", "body": "Hey everyone! Philip here, Co-founder at Tiptap (https://tiptap.dev), the open-source text editor framework used by thousands of dev teams to build collaborative and smart editors.\n\n![uploaded image](/media/?type=post&id=91336&key=user_uploads/1335640/25fe0263-453c-44eb-a825-c0cdad1aa51a)\n\nToday we’re launching a major upgrade to our DOCX import and export capabilities, including new extensions, new endpoints, smarter formatting handling, and custom node support.\n\nIf your product deals with Microsoft Word files in any way, this is for you.\n\n### The Problem\n\nHandling DOCX files in modern web apps is a pain.\n\n* Importing DOCX often breaks formatting or loses structure.\n* Exporting to DOCX from custom content structures (like callouts, embeds, or warnings) is clunky or impossible.\n* Styling ends up looking like Word, not your app.\n* Most solutions are heavy, hard to control, or require running backend services yourself.\n\nThis matters if you’re building anything with rich text and need interoperability with Word, from internal tools and documentation platforms to knowledge bases, legal tech, and publishing tools.\n\n### What We Built\n\nWe rebuilt our DOCX pipeline, including both import and export, from the ground up with developers in mind.\n\n**DOCX Import Endpoint**:\\\nEasily parse Word docs and convert them to Tiptap-compatible JSON.\n\n**DOCX Export Extension**:\\\nCreate DOCX files directly from your editor content.\n\n**Better formatting**: \\\nMore accurate handling of nested lists, tables, and mixed styles.\n\n**Custom node support**: \\\nMap your own content blocks (like warnings or embeds) to standard DOCX elements.\n\n**Style control**: \\\nMatch exported DOCX files to your product’s fonts, colors, and spacing.\n\n**Flexible execution**: \\\nRun it in the frontend for full control or in the backend for performance.\n\nWe also now support image uploading from DOCX into your own storage.\n\n### Why We Built It\n\nWe kept seeing developers often had to work around Word support using custom scripts or third-party tools that weren't compatible with custom content models.\n\nTiptap already powers many text editors, so DOCX support needed to be customizable and ready for production.\n\n→ Product Website: [https://tiptap.dev/product/conversion](https://tiptap.dev/product/conversion)\n\n→ Developer Docs: [https://tiptap.dev/docs/conversion/getting-started/overview](https://tiptap.dev/docs/conversion/getting-started/overview)\n\n→ Questions: [humans@tiptap.dev](mailto:humans@tiptap.dev)", "url": "https://www.ycombinator.com/launches/NlA-tiptap-better-docx-import-export", "votes": 18, "created_at": "2025-06-16T14:06:03.276Z" }, { "id": 91010, "title": "Tiptap – AI infrastructure for text editors", "tagline": "Add an AI Assistant to your rich text editor in minutes, not weeks.", "body": "Hey everyone! Philip here, Co-founder at Tiptap (https://tiptap.dev), the open-source text editor framework used by thousands of dev teams to build collaborative and smart editors.\n\n![uploaded image](/media/?type=post&id=91010&key=user_uploads/1335640/7f4a081f-e73b-446c-bd13-8bf62848a9a9)\n\nToday, we’re launching the **Tiptap AI Agent,** a developer-first way to add an AI agent that edits documents on your user's behalf, right inside your product. With this tool, you can add a Cursor-like assistant inside your text editor with a few lines of code.\n\n## The problem\n\nAdding AI to a text editor seems easy! Just call an API, right?\n\nBut in reality, you end up rebuilding everything: prompt handling, context extraction, streaming, undo/redo, multiplayer state sync, UX for AI changes… It’s a lot of work just to get to something usable.\n\nAnd it only gets harder when you want to use your custom LLM, tools, and backend..\n\n## **What we built**\n\nThe Tiptap AI Agent gives you all of this out of the box:\n\n* An AI assistant that can read and edit rich text based on user-defined tasks\n* Optional AI review flow (accept/reject changes)\n* Works with Tiptap Cloud or your customLLM, tools and RAG pipelines\n* Fully compatible with Tiptap’s multiplayer, comments, and change tracking\n\nGo from “idea” to “AI in production” in minutes, not weeks.\n\n## **Why we built it**\n\nWe started building this after seeing the same request from users over and over:\n\n> How do I add AI beyond simple text commands to my Tiptap editor?\n\nSo we turned our existing AI features into a full-fledged AI Agent toolkit that anyone can use, no matter what model or backend they prefer.\n\n**Live demo:** https://ai-agent.tiptap.dev/\\\n**Demo video:** https://youtu.be/w3ocdyi5qps\\\n**Docs:** https://tiptap.dev/docs/content-ai/capabilities/agent/overview\n\n## Our ask\n\nTry the demo and plug it into your editor. If you’re building something cool, we’d love to hear from you.\n\nWe’re also happy to answer technical questions and receive feedback. Join our [Discord community](https://tiptap.dev/discord), or email us at [humans@tiptap.dev](mailto:humans@tiptap.dev).\n\nThanks for building with us!\\\nThe Tiptap Team", "url": "https://www.ycombinator.com/launches/Nfu-tiptap-ai-infrastructure-for-text-editors", "votes": 23, "created_at": "2025-06-04T17:36:02.789Z" }, { "id": 90091, "title": "Tiptap 3.0 Beta: The Next-Gen Open Source Editor", "tagline": "Text editing infrastructure, solved.", "body": "![uploaded image](/media/?type=post&id=90091&key=user_uploads/1335640/ecc226df-3a58-45cc-aa81-2af38457fc1a)\n\n**Hey everyone! Philip here, Co-founder at Tiptap (**[**https://tiptap.dev**](https://tiptap.dev)**).**\n\nWe're launching **Tiptap 3.0 Beta**, the next major version of our open-source text editor framework for web developers.\n\n**The Problem:** Building custom, reliable, and performant text editors from scratch is painful. Developers spend countless hours struggling with edge cases, extensibility, and maintaining compatibility! Time better spent building core features.\n\n**Our Solution:** Tiptap version 2 already provides a flexible, unopinionated, extension-based editor framework. But with Tiptap 3.0, we've focused heavily on removing even more friction:\n\n* **Full TypeScript integration:** Strongly typed APIs for fewer bugs.\n* **Server-side compatible:** Manipulate content server-side without the need for a DOM.\n* **JSX support:** Write custom nodes using a familiar React/Vue-style syntax.\n* **Simplified dependencies:** Consolidated popular extensions (like TableKit) to streamline your workflow.\n* **Interactive marks:** React and Vue markviews to easily add rich, interactive elements.\n* **Static renderer:** Render your editor content to HTML, Markdown, or even React components, anywhere.\n\n**Why Tiptap?** We initially built Tiptap to solve our own frustrations with text editors. Four years, 30k GitHub stars, and a large open-source community later, we’ve learned a lot and incorporated that directly into Tiptap 3.0.\n\n**Give Tiptap 3.0 Beta a try:**\n\n* What's new in 3.0: \n* Documentation: \n* GitHub: \n\n**Our ask:** We'd love your feedback! If you're building something cool with Tiptap, or have feature requests and ideas, please reach out directly at [founders@tiptap.dev](mailto:founders@tiptap.dev) or reply here.\n\nThanks for building with us!\\\nThe Tiptap Team", "url": "https://www.ycombinator.com/launches/NR5-tiptap-3-0-beta-the-next-gen-open-source-editor", "votes": 31, "created_at": "2025-05-05T16:27:34.078Z" }, { "id": 89529, "title": "Tiptap – Editor UI Components and Templates", "tagline": "Build rich text editor UIs faster with free React components, templates, and a CLI", "body": "**Hey everyone 👋 We’re the team behind Tiptap**\n\nWe just launched **Tiptap UI Components** — a free library of React components and templates to help developers build rich text editor UIs faster, without starting from scratch.\n\n![uploaded image](/media/?type=post&id=89529&key=user_uploads/1335640/b6e5aed3-1527-46c8-b4d7-9be817a44f16)\n\nTiptap itself is a headless editor framework used by thousands of developers to power text editing across their apps. The headless approach gives full flexibility, but it also means you're on your own when it comes to building the UI.\n\nThat’s the problem we’re solving here: many teams don’t have time to design and build all the editor UI pieces (toolbars, menus, upload buttons, etc.) every time they want to add a new editor to their product.\n\n**So we built a solution that gives you a head start:**\n\n* A growing set of handcrafted, MIT-licensed React components\n* A CLI to scaffold your setup in seconds\n* A live editor template you can use out of the box or customize as needed\n\n![uploaded image](/media/?type=post&id=89529&key=user_uploads/1335640/76cac74a-0b69-4fa2-81af-e18f3cdbd803)\n\nEverything is fully optional and customizable. You can add just one component to your existing editor, or build your entire UI with the kit. And Tiptap remains headless at the core — these components sit on top and stay out of your way.\n\n**Backstory:** We originally built Tiptap as a tool for ourselves, and it has grown far beyond that. We’ve seen it used in everything from CRMs and email builders to collaborative docs and CMS platforms. But we also saw devs rebuilding the same UI patterns over and over. So we asked: what if we made that part easier, too?\n\n**Demo template:** \\\n**GitHub repo:** \\\n**Docs + Components Overview:** \\\n**CLI:** npx @tiptap/cli init\n\nWe’re already working on more components, including some integrated with Tiptap Cloud (e.g. comments, version history).\n\n**Ask:**\n\n* Try out the components and tell us what you'd like to see next\n* Upvote our Product Hunt launch if you like what we’re building\n* Feedback, issues, and PRs are always welcome\n\nFeel free to DM us here or reach out at [founders@tiptap.dev](mailto:founders@tiptap.dev)\n\nThanks for building with us!\\\nThe Tiptap Team", "url": "https://www.ycombinator.com/launches/NI1-tiptap-editor-ui-components-and-templates", "votes": 42, "created_at": "2025-04-15T14:00:48.862Z" }, { "id": 72947, "title": "⚫️ Tiptap – The developer toolkit for building collaborative apps", "tagline": "Build apps like Notion or Google Docs with Tiptap's open-source content editing and real-time collaboration suite.", "body": "[Tiptap](https://tiptap.dev) is a suite of open source content editing and real-time collaboration tools for developers building apps like Notion or Google Docs. It’s used by thousands of businesses worldwide, including GitLab, Axios, and Substack.\n\n![uploaded image](/media/?type=post&id=72947&key=user_uploads/1335640/87be68c6-2dfb-47a7-a6c3-90e012aa554b)\n\n🤔 **The Problem**\n\nExtensive content editing interfaces and real-time collaboration are a key feature of most apps to deliver value to their users, such as Notion, Miro, Figma, and Google Docs.\n\nWhile the users of these apps expect a best-in-class editing and collaboration experience, it's super painful and complex to develop. As developers, we can testify to this: Entire IT departments despair of these tasks.\n\n💡 **The Solution**\n\nWith Tiptap Editor, you can build apps like Notion in no time. The headless approach gives you complete freedom to build your editor experience the way you want. Tiptap Editor comes with a ton of powerful extensions to help you elevate your app beyond the ordinary. Better yet, Tiptap Editor is free and open-source.\n\nThanks to Tiptap's cloud services, you can easily add more sophisticated features like collaborative editing, real-time sync, or soon AI editor capabilities to your app in less than a minute. Tiptap's cloud services are available for fast-growing startups and as an on-premises solution for enterprises.\n\n🚀 **Who is it for?**\n\nTiptap is for developers and product teams who need to integrate rich text editors into their apps, especially those who value customization, ease of use, and real-time collaboration. Tiptap toolkits and cloud services significantly reduce development time, enabling faster time-to-market and increased profitability for product teams.\n\nTiptap is already used by **thousands of businesses worldwide,** including:\n\n![uploaded image](/media/?type=post&id=72947&key=user_uploads/1335640/619e8a25-0b5c-4174-89f0-4a4084091375)\n\nWith over 1.8 million npm downloads per month, Tiptap is one of the top 5 most popular editor frameworks in the world and is strongly supported by a huge developer community:\n\n* **26k+ community members**\n* **20k+ GitHub stars**\n* **1\\.8k forks**\n* **5k+ commits**\n* **200+ contributors**\n\n🎉 **Meet the Tiptap team**\n\nWe're six co-founders with over a decade of digital consultancy experience, transforming our struggle with building custom editor interfaces into a solution. Since launching Tiptap in 2019, we've been dedicated to scaling up and fully committed since 2022. As passionate designers and developers, we're proud to craft Tiptap's core ourselves.\n\n![uploaded image](/media/?type=post&id=72947&key=user_uploads/1335640/c49d9774-dae5-4aea-8721-650108864024)\n\n❤️ **Our ask**\n\nWe invite you to explore Tiptap's capabilities in your app, contribute to its open source development, and join our welcoming community.\n\n* Star our GitHub repository: [**https://github.com/ueberdosis/tiptap**](https://github.com/ueberdosis/tiptap)\n* Follow us on Twitter: [**https://twitter.com/tiptap_editor**](https://twitter.com/tiptap_editor)\n* and on LinkedIn: [**https://www.linkedin.com/company/tiptapdev/**](https://www.linkedin.com/company/tiptapdev/)\n\nIf you have any questions, or would like to use Tiptap in your app, write us at [**humans@tiptap.dev**](mailto:humans@tiptap.dev)\n\nYours\\\n Nick, Patrick, Philip, Sebastian, Sven and Timo ", "url": "https://www.ycombinator.com/launches/IyZ-tiptap-the-developer-toolkit-for-building-collaborative-apps", "votes": 369, "created_at": "2023-07-11T18:56:11.080Z" } ] }, { "id": 29080, "name": "Smobi", "slug": "smobi", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d332393d7c5b5f27e1a2f82f8ec54fa8b38e21a1.png", "website": "https://smobi.com/", "all_locations": "New York City, NY, USA", "long_description": "Smobi is the AI-powered platform for branded, interactive business messaging, starting with RCS. We help businesses send rich, personalized messages that drive engagement, build trust, and create real conversations.", "one_liner": "Send texts your customers actually want over RCS", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1689048246, "tags": [ "B2B", "API", "Marketing", "SMS", "Telecommunications" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/smobi", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/smobi.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getsmobi/", "x_url": "https://twitter.com/GetSmobi", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d332393d7c5b5f27e1a2f82f8ec54fa8b38e21a1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 846621, "full_name": "Kunal Puri", "title": "Founder", "founder_bio": "I spent 4 years building out communication systems for Amazon Advertising, and got my first taste of entrepreneurship when I created a Minecraft server that generated over 250K at the age of 15.\n\nNow I'm building Smobi - the AI-powered platform for branded, interactive business messaging, starting with RCS. We help businesses send rich, personalized messages that drive engagement, build trust, and create real conversations.\n\n", "is_active": false, "linkedin_url": "https://linkedin.com/in/kunal-puri1", "x_url": "https://twitter.com/thekunalpuri", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/740e9a422d9032c9b4ac7fd1f5a56c7fce81ce02.jpg" }, { "user_id": 275990, "full_name": "Michael Ning", "title": "Founder", "founder_bio": "Founder and CTO @ Smobi (YC S23), a business for sale marketplace with verified buyer and listing data.\n\nFormerly Dover (YC S19)\n", "is_active": false, "linkedin_url": "https://linkedin.com/in/mning1598", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3a4ea26d5c55edcd9053b9cb13537a889dbc4576.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93769, "title": "Smobi - Business Texting Reimagined.", "tagline": "We help businesses 5x their engagement with interactive & conversational texts over RCS.", "body": "Hey everyone, I’m [Kunal](https://www.linkedin.com/in/kunal-puri1/) - founder of Smobi 👋\n\n# **📖 TLDR**\n\nSmobi is the AI-powered platform for branded, interactive business messaging, starting with RCS. We **help businesses send rich, personalized texts** that build trust, drive engagement, and create real conversations.\n\nIf SMS messaging is part of your strategy, we’d love to show you how you can do more!\n\nBook a Demo: https://www.smobi.com/contact\n\n# **🎬 Our Launch Video:**\n\nhttps://www.youtube.com/watch?v=oJkl6m7RxgI\n\n# **‼️ Why This Matters**\n\nModern customer engagement is broken. Despite the abundance of messaging channels - email, SMS, WhatsApp, in-app notifications, and voice - most brand communications feel impersonal, transactional, and spammy. **Consumers are overwhelmed with noise**:\n\n* 82% of consumers received a spam text in the past week\n* 70% of consumers will penalize a business for a poor communication experience\n* 35% of consumers are annoyed by impersonalized and irrelevant content\n\nMessages go unread. Calls go unanswered. Engagement is at an all time low. The problem is clear, all of us have felt it.\n\n# **🛠 Our Solution**\n\nRCS addresses these issues with verified, branded, and interactive messages and it is finally here in the US. However most businesses don’t know it exists, and the few that do are still figuring out how to use it.\n\n**Smobi changes that**. We know exactly how to unlock RCS to drive real value.\n\nWith Smobi, you can:\n\n* 👷 Create complex AI-powered conversational flows in minutes\n* 🚀 Launch them via API or campaign\n* 📊 Analyze every tap, interaction, and read\n\nWe also handle the strict carrier vetting and compliance, so you don’t have to.\n\n**The results speak for themselves**:\n\n* ⚡ On average, 5 - 10x the engagement vs SMS\n* 🎯 4x higher CTR than SMS\n* 💳 Up to 3x increase in purchase intent\n\n# **🙏 Join Us**\n\nWe’re already helping innovative businesses in industries such as healthcare, entertainment, and fintech, leverage RCS to provide the most unique experiences for their customers. \n\nIf you’re interested in doing the same, let’s talk.\n\n\\\nBook a Demo: https://www.smobi.com/contact\n\n![uploaded image](/media/?type=post&id=93769&key=user_uploads/846621/98237455-fafd-4894-959d-7b955b4fde85)\n\n", "url": "https://www.ycombinator.com/launches/OOP-smobi-business-texting-reimagined", "votes": 12, "created_at": "2025-09-11T16:36:35.923Z" }, { "id": 73135, "title": "Smobi - New age marketplace for businesses for sale", "tagline": "Bringing main-street business acquisitions to the 21st century", "body": "# Overview\n\nHi everyone, we’re [Kunal](https://www.linkedin.com/in/kunal-puri1/) and [Michael](https://www.linkedin.com/in/mning1598/) from [Smobi](https://smobimarket.com/)!\n\nSmobi is a marketplace that makes it **easy for buyers** to purchase brick & mortar small businesses. We do this by **verifying business listing data** and **managing deal-flow** on our platform.\n\nWebsite: [smobimarket.com](http://smobimarket.com)\n\n![](https://substackcdn.com/image/fetch/w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fc69c6f56-e67a-45b9-904d-ee8c7ea7f4f0_3456x1812.png)\n\n### **The Problem:**\n\n* Buyers have to go through numerous listings to find quality businesses because most listings are **incomplete and misrepresented**\n* Business brokers and owners who are looking to sell, **waste their time** working with buyers who aren’t qualified to purchase their business\n* In the past 30 years, technology has only changed the business for sale market in **two** ways:\n * Listings have moved online instead of being in the local newspaper\n * Financial documents are emailed instead of being sent via mail\n* The baby boomer generation is retiring over the next decade, who owns **1\\.4 million businesses** that will close their doors unless they are sold to someone willing to buy them\n\n### **The Solution:**\n\nFor those looking to buy, we utilize first and third party data to screen listings, so buyers are looking at the complete picture of the business that is for sale. Buyers can keep track of the state of each of the listings they are interested in and manage deal flow on the platform.\n\n![](https://substackcdn.com/image/fetch/w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F4c68aba5-bbb6-4d50-9daf-4afef20fb191_3456x1822.png)\n\nAdditionally, we create NDA protected data rooms with more in-depth documents for each listing on our website. If the broker / seller of the business thinks you’re a good match for buying the business, we send the data room to the buyer.\n\nFor those looking to sell their business, we create a comprehensive profile for each buyer that is interested in a listing that the seller has created. Using data that the buyer has provided and our internal business logic, we classify how well of a match a person is for your business, ultimately saving time in your search for a buyer.\n\n![](https://substackcdn.com/image/fetch/w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F465d0d7a-7313-4cb9-a80a-e6011294ea8c_3454x1828.png)\n\n### **Our Vision:**\n\nOur long term vision is to **digitize the entire acquisition process** for main-street businesses, ultimately making small business ownership attainable for everyone.\n\n### **Who Are We?**\n\nHi everyone, we are Kunal and Michael, and we are building Smobi. Our mission is to make small business ownership attainable by everyone.\n\nKunal formerly worked in Amazon Advertising, where he built several notification delivery channels that supported 10B+ communications annually. Kunal spent over 6 months in 2022 looking to purchase multiple SMBs and found the process of finding and purchasing a business to be extremely complex, especially for a first time buyer.\n\nBefore Smobi, Michael worked at another YC startup, Dover, as an early engineer where he worked on growth initiatives and building AI products.\n\nKunal and Michael grew up together, have known each other for 10 years, and now both reside in NYC. Together, we are attempting to simplify the small business acquisition process for all parties involved.\n\n![uploaded image](/media/?type=post&id=73135&key=user_uploads/846621/2ed626b9-972e-4a72-84c0-fe19ecf48dee)\n\n### **Our Asks**\n\nThank you for reading about Smobi! We welcome any feedback for our platform as we are just beginning!\n\n* **Sign up today**: Sign up and browse 700+ businesses for sale and get notified when businesses come up for sale tailored to your preferences.\n* **Join our newsletter**: Sign up for our [blog](https://smobi.com/blog) for guides on how to buy and sell SMBs!\n* **Give us your feedback**: Tell us more about what criteria and information you would want before purchasing a SMB\n* **Connect us**: Help us connect with SBA approved lenders, business brokers, people looking to purchase small businesses, and owners looking to sell their business", "url": "https://www.ycombinator.com/launches/J1b-smobi-new-age-marketplace-for-businesses-for-sale", "votes": 44, "created_at": "2023-07-17T14:37:58.227Z" } ] }, { "id": 29081, "name": "Minded", "slug": "minded", "former_names": [ "Octo", "AgentsForce" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4a8b8741148369773db260cddde6892a1c95cba.png", "website": "https://www.minded.com/", "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel", "long_description": "Generate AI agents with plain English, edit visually, customize with code in your own IDE. Currently automating millions of tasks across support, sales, finance and more for companies like eToro, Payoneer and JustEat.", "one_liner": "Cursor for AI Agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1692715178, "tags": [ "B2B", "API", "Customer Support", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "Israel", "Middle East and North Africa" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/minded", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/minded.json", "year_founded": 2023, "city": "Tel Aviv-Yafo", "country": "IL", "linkedin_url": "https://www.linkedin.com/company/minded-ai", "x_url": "https://twitter.com/minded_ai", "fb_url": "https://www.facebook.com/profile.php?id=61550230631817", "cb_url": "https://www.crunchbase.com/organization/minded-ai", "github_url": "https://github.com/minded-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4a8b8741148369773db260cddde6892a1c95cba.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/91d5d3f5b1b157f0dda72a4e71b00c2d0b42d739.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 158086, "full_name": "Ohad Navon", "title": "Founder", "founder_bio": "Launch AI support chatbot that grew Roundforest from $200M to $1B GMV within 18 months. Saved Google $100M in fraud prevention as an engineer. Data science at McKinsey. Graduated at 19. Dan 2 black belt in Krav Maga", "is_active": true, "linkedin_url": "https://linkedin.com/in/ohad-navon-639b356a", "x_url": "https://twitter.com/OhadNavon", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/193479a9a86a46ad81a96abff87dbe8bf10af184.jpg" }, { "user_id": 1422243, "full_name": "Nadav Zamir", "title": "Founder", "founder_bio": "Launched the Chinese Google Photos as Director of AI at Alibaba, becoming the #1 app in China.\nEx-CTO & Co-founder at Galigu, search engine for VR, raised money, launched product, but VR wasn’t there yet. \nBuilt the world’s first wireless VR headset at Intel launched at CES by Intel's CEO. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/nadavzamir", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0a699f359ad8102743e67deb8f39f2e4e90bec2a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 74302, "title": "🐙 Octo - AI agents to replace customer support outsourcing", "tagline": "We generate AI agents from historical data to instantly resolve 70% of support tickets", "body": "Hey YC fam, we’re [Ohad](https://www.linkedin.com/in/ohad-navon-639b356a/) and [Nadav](https://bookface.ycombinator.com/user/1422243), founders of [Octo.](http://getocto.ai)\n\nOcto is an AI agent that actually replaces support outsourcing - it can take **actions via APIs**, read help center article, and email/chat with customers\n\nTop support teams from top 500 Amazon brands to fintech unicorns are using Octo to **replace 70% of their support team**.\n\n![uploaded image](/media/?type=post&id=74302&key=user_uploads/158086/c6c5c471-9dc6-4498-bcf5-1b750dc4e5cf)\n\n### Support teams can’t build good chatbots\n\nAfter chatting with 100+ support teams we found that support teams lack the tools to build good bots, and even simple issues like refunds are often escalated to human agents.\n\nHere’s a real screenshot from one of our customers who spent **6 months building their chatbot** (which was ultimately implemented by professional services team at Intercom!), resulting in **<15% of tickets solved.**\n\n![uploaded image](/media/?type=post&id=74302&key=user_uploads/158086/20ce41c6-b478-4173-905f-c683df59b7a7)\n\n### Octo resolves 70% of tickets instantly\n\nOcto makes it really easy to connect to the CRM, help center articles and internal systems via APIs, to instantly generate **human-level AI agents** from historical data.\n\nThere are 3 main reasons our AI agents can solve more tickets:\n\n1. **Taking actions via APIs** - based on our real-world experience about 80% of tickets require pulling customized data or take actions on behalf of customers.\n2. **Learning from past tickets** - enabling significantly higher accuracy and eliminating the frequency of AI hallucinations. Technically speaking we’ve built retrieval augmented generation that can easily generalize across customers and industries.\n3. **Multi-party conversations** - much of the work of human agents often involves tasks outside of the ticket itself like investigating delays with couriers.\n\n![uploaded image](/media/?type=post&id=74302&key=user_uploads/158086/6e027f10-fec4-4147-a7de-0232e106176e)\n\n### Built by AI Engineers\n\n![uploaded image](/media/?type=post&id=74302&key=user_uploads/158086/8c74656a-fdd0-4da0-8015-68c140cc33d4)\n\nOcto’s accuracy draws from Nadav’s experience as **Director of AI at Alibaba** where he built and launched LLMs to improve Alibaba search used by millions of consumers every day.\n\nThe idea was born when Ohad launched an AI support chatbot that took Roundforest **to $1B GMV.**\n\n### The ask\n\n* **Take Octo for a spin** - tell us what’s your most painful support use case and we’ll create a personalized demo of Octo based on your support context.\n* **Spread the love -** if you can think of other support teams that are overworked and looking to automate their customer support we’d really appreciate and introduction 🙏\n\nSounds interesting to you? Email us at [founders@getocto.ai](mailto:founders@getocto.ai)", "url": "https://www.ycombinator.com/launches/JKQ-octo-ai-agents-to-replace-customer-support-outsourcing", "votes": 22, "created_at": "2023-08-22T14:43:16.720Z" } ] }, { "id": 29082, "name": "Strada", "slug": "strada", "former_names": [ "Strada", "Finbox" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1ed3e2a5a9fdba541eb63fd5da473fcbac4b34f.png", "website": "https://www.getstrada.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Strada automates insurance operations with AI agents. We deploy agents that handle policy servicing and claims operations end-to-end for some of the largest insurance carriers and brokers in the US. With native integrations into core policy, claims and agency management systems, we automate complex workflows with the domain expertise and compliance guardrails the industry demands.", "one_liner": "AI agents that run insurance operations", "team_size": 21, "industry": "B2B", "subindustry": "B2B", "launched_at": 1690570692, "tags": [ "SaaS", "B2B", "Insurance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/strada", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/strada.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getstrada", "x_url": "https://twitter.com/stradaHQ", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/strada-d62c", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1ed3e2a5a9fdba541eb63fd5da473fcbac4b34f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8fb857670e169cdef3efe71d22f20b88ac8353f0.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 764026, "full_name": "Amir Prodensky", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Strada. Previously PM @ Revolut.", "is_active": true, "linkedin_url": "https://linkedin.com/in/aprodensky", "x_url": "https://twitter.com/AmirProd1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a62b5c987283e02cc42bc99ec1c02f4507923dea.jpg" }, { "user_id": 1440639, "full_name": "Arash Khazaei", "title": "Founder", "founder_bio": "Co-Founder & CTO of Strada. Previously led engineering at Stripe-backed fintech and tech lead at Microsoft. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/arash-khazaei-18063260", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0a3e3b9d204dda75321e4d5fc3209cdf7ef07a08.jpg" } ], "jobs": [ { "id": 93372, "title": "Senior Full Stack Engineer", "url": "https://www.ycombinator.com/companies/strada/jobs/jrkrq2u-senior-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $230K", "equity_range": "0.20% - 0.60%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 99576, "title": "Senior BDR (Business Development Representative)", "url": "https://www.ycombinator.com/companies/strada/jobs/fCYs7ij-senior-bdr-business-development-representative", "location": "San Francisco Office", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $130K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102364, "title": "Enterprise Account Executive", "url": "https://www.ycombinator.com/companies/strada/jobs/78CcyW6-enterprise-account-executive", "location": "Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$240K - $320K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 110258, "title": "Senior Full Stack Engineer", "url": "https://www.ycombinator.com/companies/strada/jobs/bhUo7Ro-senior-full-stack-engineer", "location": "Toronto, ON, CA / Toronto, Ontario, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $220K CAD", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Node.js", "React", "TypeScript" ] } ], "news": [], "launches": [] }, { "id": 29085, "name": "Quill Bills", "slug": "quill-bills", "former_names": [ "Quill AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7ad90ff298c085246c8c2af38a348e6f2c92f338.png", "website": "https://quillbills.com", "all_locations": "San Francisco, CA, USA", "long_description": "Quill Bills is a medical billing company that works with healthcare providers to significantly lower billing costs and recover denied claims.\r\nOur platform performs much of a biller's job autonomously, and we sell this platform to private practice doctors and medical MSOs.", "one_liner": "AI-Powered Medical Billing", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1685991991, "tags": [ "Healthcare", "Health Insurance", "Healthcare IT", "Billing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "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/quill-bills", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/quill-bills.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/quill-bills/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7ad90ff298c085246c8c2af38a348e6f2c92f338.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": 1188332, "full_name": "Gabriel Banks", "title": "Founder", "founder_bio": "Love to touch computer all day", "is_active": true, "linkedin_url": "https://linkedin.com/in/gabriel-banks-662548230", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b17765d0a8064075ceb47a40da059e4adc6c369d.jpg" }, { "user_id": 820106, "full_name": "Kartik Donepudi", "title": "Founder", "founder_bio": "Quill AI, Computer Science and Economics at MIT", "is_active": true, "linkedin_url": "https://linkedin.com/in/kartik-donepudi-763a22167", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de8cc3eaeaf9cc0ebd46f5e6cc32ccd26e02df0d.jpg" } ], "jobs": [ { "id": 90846, "title": "Founding Business Development", "url": "https://www.ycombinator.com/companies/quill-bills/jobs/cPBK2hG-founding-business-development", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $120K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 93732, "title": "Quill Bills: AI billing that makes doctors more money!", "tagline": "Transparent, Fast, and Affordable Medical Billing Agency", "body": "\n**The Problem**\n\nRight now, every doctor in the US pays for human billers. Some of them outsource it to a billing agency which charges them anywhere from 2% to _10% of total revenue_. (that’s crazy!)\n\nThat on its own is expensive, but there’s also another problem: Since processing bills is expensive, up to **30%** of all claim revenue is denied by health insurance companies, and no follow up is made by the biller to fight it.\n\n**The Solution**\n\nDoctors in the US right now are being charged up to 10% on their bottom line and losing up to 30% of their top line revenue.\n\nWell, we’ve figured out how to fix this problem, by making it a lot cheaper to do billing. We’ve figured out how to do it (nearly) all with AI. We have a team of human billers to do manual checks, but they can process orders of magnitude more claims than a biller doing it manually (which is all of them right now).\n\nThis means we can not only charge lower fees, but also we have more bandwidth to fight that 30% denial rate! So we typically end up making doctors more money.\n\nWe’ve got decades of billing experience on our team, and are already deployed with clinics and hospitals in the US processing millions of dollars in annual claim revenue.\n\n**Offer for Doctors**\n\nIf you or somebody you know is a doctor, we can help them make up to 30% more money every year!\n\nWe have a limited offer for the next 10 clinics/hospitals we bring on: **We’ll do your billing as a white-glove service for a flat 1.8% fee (+ no onboarding fee)**. This is way below market price. Just tell them to ask for the YC discount.\n\n**Links**\n\nhttps://quillbills.com\n\n**Asks**\n\nPlease send us any doctors you know! Doctors who own their own practices are our happiest customers.\n\n![uploaded image](/media/?type=post&id=93732&key=user_uploads/89898/609faa41-c675-45cf-b5f1-c7cbf7c57fd8)\n\n", "url": "https://www.ycombinator.com/launches/ONo-quill-bills-ai-billing-that-makes-doctors-more-money", "votes": 24, "created_at": "2025-09-10T00:32:22.403Z" }, { "id": 81746, "title": "Quill AI: A 10x more efficient equity research platform", "tagline": "Turn PDFs into spreadsheets, export data with citations, and get up to speed on earnings performance within seconds of release", "body": "**tl;dr** We are using LLMs to speed up the equity research process by taking the pain out of working with financial filings.\n\n**Problem 1:** **Pulling tables from SEC filings**\n\nThe de-facto current solution is a tool called BamSEC. However, there are a couple of problems with it: a) They don’t provide citation links to their numbers, and b) To merge data from previous filings, you can only do it one table at a time.\n\nQuill solves both these problems. Take a look:\n\n![uploaded image](/media/?type=post&id=81746&key=user_uploads/1188332/a0ad69cc-e3d1-44e3-be24-11b74b4c7147)\n\n**Problem 2: PDFs → Excel is painful**\n\nThis flow normally involves a lot of number-by-number copy-pasting. Quill lets you skip that and turn any PDF into a spreadsheet (extracting all reported numbers and tables) – with citation links for each number.\n\n![uploaded image](/media/?type=post&id=81746&key=user_uploads/1188332/e60269ce-c233-48e5-a639-b4bf03e5d709)\n\n**Problem 3: Earnings season is extremely hectic**\n\nEvery quarter, companies report earnings and investors have to quickly digest the performance, guidance, and Q&A sections of the earnings calls for each of their 20-40 portfolio companies before forming an investment opinion.\n\nQuill lets you digest these sections in an instant. Instead of reading through the raw calls, you get a dashboard that explains the main reported performance and guidance metrics, the key points in management’s commentary, and the key concerns of Wall Street analysts.\n\nFaster workflows mean you can cover more companies per quarter.\n\n![uploaded image](/media/?type=post&id=81746&key=user_uploads/1188332/bf27d425-881e-4da3-8c2d-373a4eff5244)\n\nWe’ve been working hard on these features and would love to get the word out! If you know people who work in:\n\n* Hedge funds\n* Investment banks\n* Equity research\n\nWe’d love to talk to them!\n\nOur website is \n\nReach out to us at [founders@quillai.com](mailto:founders@quillai.com)\n\nBest,\n\nGabriel and Kartik", "url": "https://www.ycombinator.com/launches/LGU-quill-ai-a-10x-more-efficient-equity-research-platform", "votes": 27, "created_at": "2024-06-25T21:56:44.151Z" }, { "id": 72889, "title": "Quill AI: The financial research assistant", "tagline": "Meet Quill, the tool that makes financial research a breeze.", "body": "**TLDR:** We let investors a) extract information from SEC filings just by asking, and b) screen stocks much faster. If you have friends in finance who want to get more sleep this week, send them to [quillai.co](http://quillai.co)!\n\nQuill AI lets you search through SEC filings and screen stocks on command. And we don’t just summarize the information - we point you right to the source, making it easy to audit the results.\n\n**The Problem(s)**\n\n* Investors spend hours reading SEC filings looking for key bits of information to use in their models/reports.\n* Existing AI info extraction tools don’t cite sources very well - making them difficult to audit. They also aren’t tuned for financial filings.\n* Current stock screeners require an annoying filtering process to produce meaningful lists of investment opportunities.\n\n**The Solution**\n\n* Quill’s web app, which lets you search for key pieces of information across financial documents in Q&A format.\n\n![uploaded image](/media/?type=post&id=72889&key=user_uploads/820106/c53e2745-e899-4fbe-90c3-341f984067b5)\n\n* Quill’s natural language screener, which lets you ask for stocks matching your desired criteria.\n\n![uploaded image](/media/?type=post&id=72889&key=user_uploads/820106/dec91582-cca8-4c34-ab17-bec911fe7fba)\n\n**Our Ask**\n\n* If you’re an investor or you work in finance, give Quill a shot at [quillai.com](http://quillai.com) – we’re giving users a 7-day free trial. \n* Try the tool. If you think your whole team could benefit from it, send us a message at [founders@quillai.com](mailto:founders@quillai.com) and we’ll get you up and running.\n\nThank you!", "url": "https://www.ycombinator.com/launches/Ixd-quill-ai-the-financial-research-assistant", "votes": 125, "created_at": "2023-07-09T19:28:15.075Z" } ] }, { "id": 29086, "name": "Eden Care", "slug": "eden-care", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7fa49eb2930eeded02c619636a22909358301f3b.png", "website": "https://www.edencaremedical.com/", "all_locations": "Nairobi, Nairobi County, Kenya", "long_description": "Eden Care is building the claims infrastructure for African health insurance ", "one_liner": "Claims infrastructure for African health insurance", "team_size": 28, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1687277447, "tags": [ "Fintech", "Health Insurance", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Fintech", "Insurance" ], "regions": [ "Kenya", "Africa", "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/eden-care", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/eden-care.json", "year_founded": 2022, "city": "Nairobi", "country": "KE", "linkedin_url": "https://www.linkedin.com/company/edencaremedical/?viewAsMember=true", "x_url": "https://twitter.com/edencaremedical", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7fa49eb2930eeded02c619636a22909358301f3b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/32d8553d147f9813494bc88a74f31afc506e6b7a.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 584359, "full_name": "Moses Mukundi", "title": "Founder", "founder_bio": "I founded my first startup, an agritech startup, at 23 that scaled to profitability and was acquired in 2017. I spent 6 years in the insurance and healthcare verticals in Africa before pursuing my MBA at Wharton Business School. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/mosesmukundi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92dbf4e853015c0ebd369988003ecaa2eb7b42c0.jpg" } ], "jobs": [], "news": [ { "title": "Eden Care: Y Combinator's latest health insurance bet in Africa", "url": "https://techcabal.com/2023/08/26/eden-care-medical-y-combinators-latest-health-insurance-bet-in-africa/", "date": "Aug 26, 2023" }, { "title": "Eden Care becomes first Rwandan company to join Y Combinator", "url": "https://www.benjamindada.com/eden-care-y-combinator-first-rwandan/", "date": "Jul 04, 2023" } ], "launches": [ { "id": 72392, "title": "Eden Care - Digital health insurance for employers in Africa", "tagline": "Saving employers time and money with better, cheaper health insurance", "body": "**Tl;dr:** Eden Care offers digital health insurance to employers in Africa. We are making health insurance cheaper by building a new tech stack that reduces the cost of insurance operations by 43%. In 6 months since launch, we have $2.1M in gross premiums and growing 100% month-on-month. Check out [Eden Care](https://www.edencaremedical.com/) today.\\\n—\n\nHello, I am Moses Mukundi, and my team and I are building [Eden Care](https://www.edencaremedical.com/). We are on a mission to provide access to affordable quality health insurance to the 90 million uninsured African employees. See some of our team below:\n\n![uploaded image](/media/?type=post&id=72392&key=user_uploads/584359/6d025c95-c4e5-41e1-9052-b7f58978a690)\n\n**Problem: Underserved**\n\nAfrican insurance cost of operation (claims, distribution, and fraud cost) is 2.2x the global average resulting in expensive insurance. No wonder, health insurance penetration in Africa is 0.2%, 15x lower than emerging market peers. \n\nThis $11 billion industry hasn’t modernized (manual, limited customer insights, and high fraud waste and abuse) and has largely focussed on large companies and high network individuals, leaving out the majority of Africans. There’s a need for a new solution for Africans to increase health insurance uptake.\n\n**Our Solution: Digital infrastructure that automates the entire value chain**\n\nEden Care is a full-stack licensed health insurer. We are building a new tech that reduces our cost operation by 43% resulting in cheaper cover. \n\nWe have deployed tech infrastructure across 3 main users - HR& admin teams, employees, and healthcare facilities. This enables us to automate the majority of our processes reducing cost but also improving customer experience. \n\n**For HR teams**, we provide them with a portal to easily manage the health benefits of their team.\n\n![uploaded image](/media/?type=post&id=72392&key=user_uploads/584359/17e2bd51-fcc1-4ad0-8dff-946759a190b3)\n\n**For employees and their dependents**, we provide them with an app that helps them access and navigate healthcare, participate in Eden Care’s wellness and prevention program, and earn/redeem rewards.\n\n![uploaded image](/media/?type=post&id=72392&key=user_uploads/584359/3aa361ff-2a28-440f-b060-660a4cc70ebd)\n\n**For service providers**, we have provided an end-to-end digital tool that enables them to quickly serve our members and digitally complete all their processes on our system — eliminating the majority of manual processes and paper, automating the majority of the tasks, and saving time and money.\n\n![uploaded image](/media/?type=post&id=72392&key=user_uploads/584359/6a47735f-0923-4997-8c72-081a79109571)\n\nWith this data-rich view, we can:\n\n1. automate >90% of all back-end insurance processes enabling us to deliver real-time decision-making and personalized health nudges\n2. intervene at the point of service to prevent fraud, waste, and abuse \n3. deliver better underwriting and products more relevant to user needs.\n4. Develop AI tools to improve stakeholder experience while lowering ops cost even further\n\n**The opportunity: Right time to build Eden Care**\n\n1. 22 Africans will transition to middle-income status by 2030. This transition is associated with a 7x growth in health insurance spend.\n2. SMEs are formalising at a faster rate and buying insurance for their teams for the first time. This is the largest insurance opportunity in Africa and is where Eden Care is positioning itself to be the segment leader. \n3. Rapid digitisation of healthcare facilities and end users is for the first time enabling the deployment of end-to-end digital health infrastructure. \n4. 310 million Africans will be middle class by 2030. The majority are young digital native families buying insurance for the first time. Eden Care is becoming the default insurer for this group.\n\n**Ask: How you can help us**\n\n1. Share this post! Please help spread the word, as you never know who it may help.", "url": "https://www.ycombinator.com/launches/Ipc-eden-care-digital-health-insurance-for-employers-in-africa", "votes": 19, "created_at": "2023-06-20T18:45:31.877Z" } ] }, { "id": 29087, "name": "ParadeDB", "slug": "paradedb", "former_names": [ "Retake" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6668d68dbb65664dcc7f40eff60e4ee586f09132.png", "website": "https://paradedb.com", "all_locations": "San Francisco, CA, USA", "long_description": "One Postgres for your application data, full-text search, vector retrieval, and aggregations.", "one_liner": "You should just use Postgres.", "team_size": 11, "industry": "B2B", "subindustry": "B2B", "launched_at": 1689280457, "tags": [ "Developer Tools", "Analytics", "Open Source", "Infrastructure", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "We (Phil and Ming) previously built Whist, a cloud-hybrid browser, together with an amazing team of 20 from 2020 to 2023. We originally met at university, in 2016, during the earliest days of orientation, and quickly became close friends, pitching each other startup ideas throughout college, until we decided to make the jump during our senior year.The idea for ParadeDB came from building on the experience acquired in the cloud infrastructure market during our Whist days, and from talking with 50+ customers in the beginnings of YC S23. We initially applied to YC with a completely different idea, but pivoted into what became ParadeDB after seeing more customer interest for the infrastructure we had built to service our prior idea, a sustainability platform, than the idea itself; and thus ParadeDB was born." }, { "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?", "answer": "We were looking for an environment that would help us make something people want and not get caught in all the other non-essential parts of building an early-stage company. Our experience with YC was shaped by this mindset from application to fundraising and we had a great experience." }, { "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?", "answer": "We’ve made a bunch of friends in YC, are still in touch with our Group Partner and batchmates, and frequently interact on Bookface." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "ParadeDB started during the YC batch, in Summer of 2023. We first released `pg_search`, our full-text search product in Postgres. A few months later we released `pg_analytics`, our analytics product in Postgres. We eventually combined them both into a single Postgres extension to offer full-text search and analytics in Postgres. Today, we’re productionizing both in ParadeDB and working to serve increasingly large customers." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Postgres’ full-text search and analytics capabilities, two critical workloads for SaaS, finance, retail, and countless more industries, are a far cry from dedicated data stores like Elasticsearch. ParadeDB is fixing that." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "ParadeDB is part of the “Postgres for everything” movement, enabling companies to run increasingly larger parts of their data infrastructure on Postgres in an open-source, free of vendor lock-in world." } ], "url": "https://www.ycombinator.com/companies/paradedb", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/paradedb.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/paradedb", "x_url": "https://twitter.com/paradedb", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/paradedb", "github_url": "https://github.com/paradedb", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6668d68dbb65664dcc7f40eff60e4ee586f09132.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ce5ca15131669146d463d97b0579fcdc2d4b71e2.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 317980, "full_name": "Philippe Noël", "title": "Founder/CEO", "founder_bio": "Founder @ ParadeDB. Previously @Whist, @Microsoft. Harvard CS'20. From Québec.", "is_active": true, "linkedin_url": "https://linkedin.com/in/philippemnoel", "x_url": "https://twitter.com/philippemnoel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e6ca7eedf6383c2ebb46a29a5f9e96a6e976add1.jpg" }, { "user_id": 1341340, "full_name": "Ming Ying", "title": "Founder", "founder_bio": "Founder @ ParadeDB", "is_active": true, "linkedin_url": "https://linkedin.com/in/ming-ying", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/19af7b14da5cf743d9de76ee556ebaf69adc3ebb.jpg" } ], "jobs": [ { "id": 74017, "title": "Database Engineer — Storage & Query Execution", "url": "https://www.ycombinator.com/companies/paradedb/jobs/GCpYraM-database-engineer-storage-query-execution", "location": "San Francisco, CA, US / Remote (CA; US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $250K", "equity_range": "0.15% - 0.40%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Rust", "Distributed Systems" ] }, { "id": 74019, "title": "Distributed Systems Engineer — Postgres Platform", "url": "https://www.ycombinator.com/companies/paradedb/jobs/yWsaLaN-distributed-systems-engineer-postgres-platform", "location": "San Francisco, CA, US / Remote (US; CA)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $250K", "equity_range": "0.15% - 0.40%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Bash/Shell", "Go", "Kubernetes", "PostgreSQL", "Elasticsearch", "RDS/Aurora", "Distributed Systems", "Docker" ] } ], "news": [ { "title": "ParadeDB takes on Elasticsearch as interest in Postgres explodes amid AI boom | TechCrunch", "url": "https://techcrunch.com/2025/07/15/paradedb-takes-on-elasticsearch-as-interest-in-postgres-explodes-amid-ai-boom/", "date": "Jul 15, 2025" } ], "launches": [] }, { "id": 29088, "name": "Cair Health", "slug": "cair-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/174cf352bddd34701bef4a958ce1e21e7d49de3d.png", "website": "https://www.cairhealth.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Cair Health empowers billing companies, care management platforms, EHRs, offshore BPOs, provider groups, and specialty pharmacies with AI-driven RCM solutions. Our suite of AI Agents helps RCM teams streamline operations, reduce manual costs, and improve consistency—while maintaining full control over core workflows. Cair is trusted by 100+ practices across the country — including iconic VC-backed digital health startups, leading specialty EHRs, and some of the largest billing companies and BPOs\r\n\r\nBacked by Y Combinator, Foundation Capital, Soma Capital, Translink Capital & many others.. ", "one_liner": "AI Agents for Healthcare RCM", "team_size": 6, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1690913334, "tags": [ "Health Tech", "Healthcare", "Health Insurance", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "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/cair-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cair-health.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cair-health/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/174cf352bddd34701bef4a958ce1e21e7d49de3d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1370983, "full_name": "Shehbaz Virk", "title": "Founder", "founder_bio": "Co-Founder @ Cair Health,\nPublic Health & Biochemistry @ UC Berkeley", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shehbazvirk/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/71748884bfbe1b858958bd71a621295ef2b29331.jpg" }, { "user_id": 1371723, "full_name": "Ishan Balakrishnan", "title": "Founder", "founder_bio": "Co-Founder @ Cair Health,\nComp Sci & Business @ UC Berkeley", "is_active": true, "linkedin_url": "https://linkedin.com/in/ishanbalakrishnan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7d50db33e360227615622d12c07eba5a88bdbb7c.jpg" } ], "jobs": [ { "id": 97972, "title": "Founding Customer Success Engineer", "url": "https://www.ycombinator.com/companies/cair-health/jobs/XuQEfj7-founding-customer-success-engineer", "location": "Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $130K", "equity_range": "0.10% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Git", "MySQL", "PostgreSQL", "Python", "React", "Docker", "AI Agents" ] }, { "id": 98751, "title": "Founding Forward Deployed Engineer ", "url": "https://www.ycombinator.com/companies/cair-health/jobs/Ye8X3VN-founding-forward-deployed-engineer", "location": "Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $130K", "equity_range": "0.10% - 0.30%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 98752, "title": "Software Engineer (SWE)", "url": "https://www.ycombinator.com/companies/cair-health/jobs/3oPirfm-software-engineer-swe", "location": "Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $150K", "equity_range": "0.10% - 0.40%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 29089, "name": "Line.Build", "slug": "line-build", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/02320662022f49489050fc19df1ac3ad750c205e.png", "website": "https://www.line.build/", "all_locations": "San Francisco, CA, USA; Seattle, WA, USA; Remote", "long_description": "Line.Build is software for contractors to seamlessly find and apply for financing and rebates for energy efficiency upgrades. With buildings accounting for almost 40% of US GHG emissions, retrofitting for efficiency is essential to reduce emissions and load on the grid, but expensive. Over $80B of rebates, incentives and financing is available but hyper-fragmented across utilities, federal funds, grants, and green lending programs. Line consolidates disparate sources of funds and simplifies finding and applying for incentives and financing.\r\n\r\nLine is designed to be user-friendly, available in multiple languages, and accessible on both web and mobile devices. Additionally, it provides an API that seamlessly integrates with existing quoting tools, enhancing efficiency and convenience.", "one_liner": "Incentives and financing for energy efficiency upgrades", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1687386560, "tags": [ "Payments", "Construction", "Climate", "Renewable Energy", "ClimateTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/line-build", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/line-build.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/line-build/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/02320662022f49489050fc19df1ac3ad750c205e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1401886, "full_name": "Stephanie Vasquez", "title": "Founder", "founder_bio": "Leveraging my experience in the risk and payments space to make building decarbonization attainable for everyone. \n\n12+ years in both the public and private sector building and leading product, operations, and analytics teams. Ex-Airbnb, Plaid, Asana, Gusto", "is_active": false, "linkedin_url": "https://linkedin.com/in/svasquezruiz", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/968445dc8c7114a0357563b350e95befa088a525.jpg" }, { "user_id": 1432654, "full_name": "Dasha Cherepennikova", "title": "Founder", "founder_bio": "Excited to be working in climate tech to accelerate the transition to a greener and more energy efficient economy. \n\n12+ years scaling hard problems through automation, ML. Seasoned product leader, experience building teams, taking products 0->1 and 1>100. Ex-Stripe, Airbnb, Google. ", "is_active": false, "linkedin_url": "https://linkedin.com/in/dasha-cherepennikova", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/988b1539f72fe8f92b38d533b7bb920040e9321c.jpg" } ], "jobs": [], "news": [ { "title": "Our favorite startups from YC’s Summer 2023 Demo Day, Day 1 | TechCrunch", "url": "https://techcrunch.com/2023/09/06/ycombinator-demo-day-one-summer-2023/", "date": "Sep 06, 2023" } ], "launches": [ { "id": 72550, "title": "Line: Enabling affordable building decarbonization", "tagline": "Line empowers contractors with tools that make building decarbonization projects affordable for their customers and boosts conversion rates", "body": "### **Tl;dr**\n\n[Line](https://www.line.build/?utm_source=YCLaunch&utm_medium=post) empowers contractors with tools that make building decarbonization projects affordable for their customers and boosts conversion rates. We consolidate the thousands of rebates, incentives, and green financing options for energy efficiency upgrades, and make it easy for contractors to secure funding for their customers.\n\n**We’re looking for intros to HVAC installers and electrification services for our pilot**. And if you’re thinking about getting a heat pump, we’d love to help you find and apply for rebates and other incentives. Get in touch at [founders@line.build](mailto:founders@line.build)\n\n### **The Problem**\n\nWith buildings accounting for almost 40% of US GHG emissions, retrofitting for efficiency is essential to reduce emissions and load on the grid, but expensive. Over $80B of rebates, incentives and financing is available but hyper-fragmented across utilities, federal funds, grants, and green lending programs. Contractors are often responsible for helping consumers navigate this fragmented landscape - not only does their consumer demand it, but many sources of funding require it. This is leading to an increase in overhead, as they hire Ops teams and consultants to meet demand. Contractors that do not provide this service are seeing their conversion impacted, as consumers look to maximize savings. \n\n### **Our Solution**\n\nLine is a single source of truth for all available funding options. By providing a few pieces of information, such as project address and scope, contractors can easily access all available incentives and financing options available to their customer. Requirements are consolidated and distilled in a simple manner and we make suggestions that help contractors maximize savings for their customers. Maximized savings, means maximized conversion!\n\nOnce the customer is ready to proceed with the project, the contractor can leverage a common application to apply for all eligible programs. We remove the hassle of navigating multiple websites, printing documents, or mailing applications.\n\nOur platform is designed to be user-friendly, available in multiple languages, and accessible on both web and mobile devices. Additionally, we provide an API that seamlessly integrates with existing quoting tools, enhancing efficiency and convenience.\n\n![uploaded image](/media/?type=post&id=72550&key=user_uploads/1432654/02e79c39-4134-4f77-bff2-286ca21bbd57)\n\n### **Our Backstory**\n\nDasha and Steph have worked on payments and risk management for the last 10+ years at companies such as Airbnb, Plaid, Stripe, Asana, Gusto, and Google. We couldn’t think of a bigger risk than climate change, and wanted to find ways to help accelerate the transition to a greener and more energy efficient economy. We learned that cost is a big barrier to deploying technology such as heat pumps. We knew that funds such as utility rebates were available, but were surprised at how hard the process of discovering and applying for them is – so we decided to help solve that! \n\n![uploaded image](/media/?type=post&id=72550&key=user_uploads/1432654/96e73cbe-5f05-4084-b4bc-890df449174a)\n\n### **Ask: How you can help**\n\n* Connect us to contractors such as HVAC installers, residential solar companies, electricians or whole home electrification contractors to try out our pilot\n * _quick blurb to copy & paste:_ [Line](https://www.line.build/?utm_source=YCLaunch&utm_medium=post) is a new tool that creates a single source of truth for all available funding options for home energy efficiency projects. They help access sources of funds to reduce project cost and increase conversion. Check them out at [www.line.build](http://www.line.build) or get in touch at [founders@line.build](mailto:founders@line.build)\n* Are you thinking about a home project such as getting a new hot water heater or heat pump? We’d be keen to help you get any rebates or incentives (email us at [founders@line.build](mailto:founders@line.build))\n* Intros to companies that build other contractor tooling such as quoting or invoicing.\n\n ", "url": "https://www.ycombinator.com/launches/IsA-line-enabling-affordable-building-decarbonization", "votes": 234, "created_at": "2023-06-26T19:01:06.507Z" } ] }, { "id": 29090, "name": "Trayd", "slug": "trayd", "former_names": [ "Trayd", "TRAYD" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0a9f2865966789c4edf9a5fb78aced71bf8c4d9.png", "website": "https://www.buildtrayd.com/", "all_locations": "New York City, NY, USA", "long_description": "Trayd is building the operating system for commercial construction: payroll, compliance, and back office workflows that actually work in the real world.\r\n\r\nConstruction is one of the biggest industries in North America (valued at $2T+), and it still runs on a messy mix of spreadsheets, legacy payroll providers, and manual processes that break the moment things get even slightly complex. The people doing the work are the hardest working people in the country, and the companies running crews are forced to spend hours every week fighting systems that were never built for them.\r\n\r\nWe’re changing that.\r\n\r\nTrayd started with a simple promise: construction workers should be able to access the money they already earned faster, and subcontractors should be able to run payroll without chaos. Today, we’re building deeper infrastructure across payroll, union rules, job costing, and accounting workflows so our customers can run their businesses with confidence.", "one_liner": "A construction payroll and compliance platform built for specialty…", "team_size": 34, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1689535318, "tags": [ "Fintech", "SaaS", "Construction", "Proptech", "Payroll" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/trayd", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/trayd.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/buildtraydllc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0a9f2865966789c4edf9a5fb78aced71bf8c4d9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8ab43a4fd37381a69b78afd386d10c31228ad8b1.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/bc79befc735df674406e2a70a6fc00c93c7888f9.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1435469, "full_name": "Anna Berger", "title": "Founder", "founder_bio": "2x founder | product and growth hacker \n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/anna-berger-39497a72", "x_url": "https://twitter.com/annajberger3?s=21", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f5dba3384ee3eaa3075442c0f45ba9d4b75082f7.jpg" }, { "user_id": 1434148, "full_name": "Cara Kessler", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://linkedin.com/in/carakessler", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/522fecb28f766d740937d735a8839bb520912153.jpg" } ], "jobs": [ { "id": 89198, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/trayd/jobs/1Ez3l4b-senior-software-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $220K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Node.js", "React", "React Native", "TypeScript" ] }, { "id": 91081, "title": "Implementations Analyst", "url": "https://www.ycombinator.com/companies/trayd/jobs/2DvQ0jQ-implementations-analyst", "location": "Manhattan, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$85K - $100K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 91083, "title": "Senior Implementations Analyst, Enterprise", "url": "https://www.ycombinator.com/companies/trayd/jobs/9lEwtm5-senior-implementations-analyst-enterprise", "location": "Manhattan, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$120K - $130K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106604, "title": "AI Support Specialist", "url": "https://www.ycombinator.com/companies/trayd/jobs/AoVlEfg-ai-support-specialist", "location": "Manhattan, United States", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$70K - $80K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Exclusive: YC Doubles Down On Trayd, A Construction Tech Startup That Just Raised $10M In 3 Weeks", "url": "https://news.crunchbase.com/venture/construction-tech-automation-trayd-ai-seriesa/", "date": "Mar 25, 2026" }, { "title": "3 - Empowering Construction Payroll with Trayd - YouTube", "url": "https://www.youtube.com/watch?v=LSXho1Bpwv4", "date": "Mar 18, 2024" }, { "title": "Trayd", "url": "https://read.unicorner.news/p/trayd", "date": "Mar 11, 2024" }, { "title": "Why Y Combinator alumni, Anna Berger, is reinventing construction payroll - YouTube", "url": "https://www.youtube.com/watch?v=cqDGLtWy_M4", "date": "Mar 07, 2024" }, { "title": "Top Risk Management Tools For Construction | aec+tech", "url": "https://www.aecplustech.com/blog/top-risk-management-tools-for-construction", "date": "Feb 28, 2024" } ], "launches": [ { "id": 73344, "title": "Trayd 🏗️ Construction payroll designed for same-day pay", "tagline": "Trayd reinvents traditional construction payroll, creating financial opportunity for subcontractors and their workers.", "body": "### **TL;DR:**\n\nTrayd is reinventing construction payroll for the betterment of all key players. For commercial real estate subcontractors, Trayd generates back office efficiencies with a platform that manages workforce attendance and payroll. For workers, Trayd offers instant access to their earned wages. Win-Win.\n\nWe are Anna Berger and Cara Kessler, the team behind @Trayd and we are on a mission to digitize construction payroll in order to power a better financial future for subcontractors and their workers.\n\n![uploaded image](/media/?type=post&id=73344&key=user_uploads/1435469/811e72a1-0fc1-4b73-ab24-27b7ed95567f)\n\n### 🚨**Problem**🚨\n\nWithin commercial real estate, demand for work is at an all-time high. In the last year, total construction spend in New York City reached $86BN and it keeps on climbing. That said, construction subcontractors are ill-equipped to handle the influx of work, with only 17% of them using digital tools to manage their back office. This lack of tech adoption is leading to work stoppages and high attrition, resulting in major revenue loss.\n\nTo make matters worse, construction employment still lags behind pre-covid levels. Of those that remain, highly skilled workers are choosing to leave the trades in search of more control over their cash flow, for example, gig economy jobs that allow them to work when they want and get paid instantly.\n\n### **🏗️ Our Solution** 🏗️\n\nTrayd is new type of construction payroll platform, designed to incentivize all key players. Through a closed loop system, Trayd tracks workers’ daily attendance in order to power real-time payroll automation. By merging time and payroll data into one system, subcontractors save tens of hours a week on manual back office work. As an added bonus, because Trayd authenticates attendance in real-time, Trayd can offer instant payment options to the workforce.\n\n![uploaded image](/media/?type=post&id=73344&key=user_uploads/1435469/5ed2d168-f70d-4752-b949-09d093ba8d81)\n\n![uploaded image](/media/?type=post&id=73344&key=user_uploads/1435469/92cdb561-b705-4aca-9ce1-c33f875435b9)\n\n### 📖 **The Backstory** 📖\n\nBorn into a construction family and close to the problems that plague subcontractors and workers on a daily basis, our team is excited to modernize construction back office operations while simultaneously offering financial tools and opportunities to subcontractors and workers.\n\n### **Asks 🙏**\n\n* Know anyone in the construction industry? We’d love to speak to any general contractors, subcontractors, construction workers, or developers about their day-to-day experiences. Send any leads to [anna@buildtrayd.com](mailto:anna@buildtrayd.com)\n* Follow along on our journey! → \n\nIf you have any questions, reach out! We’d love to hear from you.", "url": "https://www.ycombinator.com/launches/J4y-trayd-construction-payroll-designed-for-same-day-pay", "votes": 43, "created_at": "2023-07-24T15:14:09.940Z" } ] }, { "id": 29091, "name": "Webhound", "slug": "webhound", "former_names": [ "Slingshot", "Lavalamp", "Instaclass", "Remy" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c9d8480ce32c923dc77fca44069ab19c5dab6eb.png", "website": "https://webhound.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Webhound builds long-horizon AI research agents that scale quality with time and budget. Our agents can create either structured datasets or fully cited research reports.", "one_liner": "Long-horizon research agents", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1689818569, "tags": [ "Generative AI", "Consumer", "Search", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Consumer" ], "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/webhound", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/webhound.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/webhound", "x_url": "https://x.com/webhoundai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c9d8480ce32c923dc77fca44069ab19c5dab6eb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/af083f86bdd2f140667a8be17ea63bf77b6ea035.png" ], "primary_partner": null, "founders": [ { "user_id": 1444428, "full_name": "Flynn Traeger", "title": "Founder", "founder_bio": "Software engineer by training but cut my teeth in headhunting so can't stop talking to people. Ex-Stanford rower. 2x All-American. Now I'm trying to make search better.", "is_active": false, "linkedin_url": "https://linkedin.com/in/flynn-traeger", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ecc1f2dff3dba0c41cd8d3b38dca353c6dc31bd4.jpg" }, { "user_id": 1446074, "full_name": "Bryn Hughes", "title": "Founder", "founder_bio": "Stanford CS 2023 grad with previous research in ASL translation with LLMs and model design.", "is_active": false, "linkedin_url": "https://linkedin.com/in/bryn-hughes-3968b7201", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f3d8a68d7607f020c95d70f2be99b53f17ccd1e4.jpg" }, { "user_id": 1444435, "full_name": "Moe Khalil", "title": "Founder", "founder_bio": "Product @ LiteLLM (YC W23). Previously built the first ever commercial deep research product @ Webhound (YC S23). Stanford CS '23", "is_active": false, "linkedin_url": "https://linkedin.com/in/moe-khalil-73a2371a1", "x_url": "https://x.com/Mokhalil01", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/71908f66e9da71876cf3cca281a7afd005398c55.jpg" }, { "user_id": 870360, "full_name": "Porter Weisberg", "title": "Founder", "founder_bio": "Previously a C.S. major and all-academic rower at Stanford, and has been building startups since.", "is_active": false, "linkedin_url": "https://linkedin.com/in/porter-weisberg", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/48f21488c1a9ade1b22a7d7a2c52afb3703b1f4b.jpg" } ], "jobs": [], "news": [ { "title": "Our favorite startups from YC's Summer 2023 Demo Day, Day 1 | TechCrunch", "url": "https://techcrunch.com/2023/09/06/ycombinator-demo-day-one-summer-2023/", "date": "Sep 06, 2023" } ], "launches": [ { "id": 99089, "title": "Webhound Agent: A full research assistant with a workspace", "tagline": "An AI research assistant powered by the best deep research money can buy", "body": "\n\n**The problem:** Most deep research products decide for you when to stop. And since they're subscription-based, the less work they do per query, the more they profit.\n\n**What we built:** Webhound is a research agent where you set a dollar budget and it keeps searching until it's used. $5 or $100 — every dollar goes into deeper search, more sources, and real verification. The output is either a cited research report or a structured dataset with source URLs per cell.\n\n**What's new:** Today we're launching Webhound Agent — a full research assistant with a workspace.\n\n* **Start research from chat.** Describe what you need, the agent proposes a session with an editable budget and model. You confirm before anything runs.\n* **Multi-step pipelines.** Chain steps together — \"research X, then extract Y, then write a recommendation\" — and they run automatically in sequence.\n* **Analyze your existing work.** Ask the agent about any report or dataset. It reads the full document and answers with citations.\n* **Organize everything in folders.** Nested workspace with drag-and-drop, working directories, and folder-scoped context.\n* **The agent remembers you.** It learns your research interests, budget preferences, and working patterns across conversations.\n\n**How it works under the hood:** Research sessions run a plan-execute-verify loop. The planner decides what to investigate, the executor searches the web and writes a cited report, and the verifier checks every claim against its sources. When the verifier finds gaps, it sends the work back. This cycle repeats until the budget runs out.\n\n**Pricing:** Pay-as-you-go. No subscriptions. $5 free credits to start. See real example reports at different budgets: \n\n![uploaded image](/media/?type=post&id=99089&key=user_uploads/1444435/efda94f3-8921-4230-98e9-e26f86b3514c)\n\n", "url": "https://www.ycombinator.com/launches/PmD-webhound-agent-a-full-research-assistant-with-a-workspace", "votes": 7, "created_at": "2026-03-25T17:52:50.836Z" }, { "id": 97405, "title": "Webhound Reports: Deep research that scales with your budget", "tagline": "Long-running deep research for the highest quality reports", "body": "Hey everyone, Moe here.\n\nWe're building Webhound — AI research agents where you set a budget and the agent keeps researching until it runs out. More budget = more sources, more depth.\n\n**How we got here:** We started with a product (now called Datasets) that builds structured tables from the web. It worked, but we hit a wall: as datasets got bigger, costs exploded and context became unmanageable. And for open-ended datasets, we never had a clean answer for \"when should the agent stop?\"\n\nSo we rebuilt everything around two ideas: costs that stay linear with time, and giving users direct control over depth.\n\nThe new architecture is a **Planner-Executor-Verifier loop**. Executors get fresh context each run. Planner and Verifier work from summaries and can search over what's accumulated. Runs until budget's out.\n\nWe tested it on traditional deep research as a sanity check. At $3-5, it beat the top result on DeepResearch Bench. At $15, it way outperformed it, even running on older models (gemini-2.5-flash). So we shipped it as Reports and put the same architecture into Datasets.\n\n**We now have two products:**\n\n* **Reports** = cited research docs (competitive analysis, market research, system design). Always uses the full budget—more budget means more sources and deeper coverage.\n* **Datasets** = build structured tables from the web, or upload your own and enrich with new columns. We can access LinkedIn, YouTube, Reddit, and most other sites. Examples: lead lists with company info, competitor feature matrices, lists of VCs filtered by thesis, GTM leads with emails. Stops when complete, or at budget, whichever comes first.\n\n**Asks:**\n\n* **Try it** – [**webhound.ai**](http://webhound.ai), $5 free. Honest feedback welcome.\n* **Spread the word** – if it's useful, share it with anyone you know doing a lot of research (investors, analysts, consultants)\n\n– Moe\n\n![uploaded image](/media/?type=post&id=97405&key=user_uploads/1444435/fceaddd4-53f4-438f-930d-a4bf18bf97ce)\n\n(Demo Video for Reports: [**https://www.youtube.com/watch?v=eEGJBudvmsE**](https://www.youtube.com/watch?v=eEGJBudvmsE))", "url": "https://www.ycombinator.com/launches/PL3-webhound-reports-deep-research-that-scales-with-your-budget", "votes": 3, "created_at": "2026-02-02T18:32:28.191Z" }, { "id": 92035, "title": "Webhound: An AI Agent That Builds Datasets From the Web", "tagline": "Webhound lets you automate weeks of manual research work by running in the background while you tackle other priorities.", "body": "Hey everyone,\n\nWe’re [Moe](https://www.linkedin.com/in/moe-khalil-73a2371a1/) and [Theo](https://www.linkedin.com/in/theodor-schmidt/), and we’re building [Webhound](https://webhound.ai).\n\n# TL;DR\n\nWebhound is an AI research agent that builds custom datasets from web research. Instead of spending weeks manually gathering data, simply describe what you need and Webhound automatically finds, extracts, and organizes it into structured datasets you can export.\n\nSome examples are:\n\n* “Find 100 AI/ML YouTubers with 50K-100K subscribers, their email addresses, and latest video view counts.”\n* “Track pricing, features, and customer reviews from both Reddit and Youtube for 30 CRM competitors including Salesforce, HubSpot, and Pipedrive.”\n* “Collect 500 vacation rental listings in Bali with photos, pricing, amenities, and guest reviews from multiple platforms to analyze market trends.”\n* “Identify 200 early-stage e-commerce startups on Shopify or WooCommerce, along with founder names, contact emails, and product categories to build a lead list.”\n\nhttps://www.youtube.com/watch?v=cG1SiKznpHs&pp=0gcJCcEJAYcqIYzv\n\n# **❌ The Problem**\n\nData collection is painfully manual and slow. Need to research 100 competitors? That means visiting 100 different websites, copying information into spreadsheets, and repeating this process for every data point.\n\nThis creates two major problems:\n\n* **High effort:** Hours of tedious manual work, clicking through sites, and organizing data\n* **Slow speed:** What should be quick research turns into weeks of work\n\n# **👷 Our Solution**\n\nWebhound makes data collection effortless and fast.\n\n**Effortless:** Simply describe what you need in plain English. Webhound handles everything in the background while you focus on other work.\n\n**Fast:** A fleet of parallel search agents collect data simultaneously across multiple sources, turning weeks of manual work into hours.\n\nExport clean, structured datasets as CSV, Excel, or JSON.\n\n![uploaded image](/media/?type=post&id=92035&key=user_uploads/1444435/a0229371-c973-42ca-8383-bf35d6bb99c7)\n\n# **🙏 Our Ask**\n\nWant to try Webhound? Access is currently limited to 5 datasets per week and one at a time, but if you're interested in higher limits to automate your research workflow, please reach out to us at [**team@webhound.ai**](mailto:team@webhound.ai).\n\n# 👬 **The Team**\n\nMoe and Theo have been friends for 6 years and were roommates in college (in the room where Evan Spiegel founded Snapchat).\n\nSince graduating, Moe’s built a bunch of AI search tools, including Instaclass (turn any topic into a full search-backed course) and Remy (think Perplexity, but for video).\n\nTheo went deep on data, building and scaling Quicklime, where he helped film studios and streaming services collect the info they needed to make smart bets.", "url": "https://www.ycombinator.com/launches/NwR-webhound-an-ai-agent-that-builds-datasets-from-the-web", "votes": 20, "created_at": "2025-07-10T00:48:30.310Z" }, { "id": 85709, "title": "Remy: The chatbot that's seen every video on YouTube", "tagline": "Remy searches over billions of videos to build you custom playlists on any topic, finding exactly what you want to watch - and nothing you don't.", "body": "![](https://www.ycombinator.com/media/?type=post&id=85709&key=user_uploads/1444428/e4dd006c-a312-4c90-9340-6b403f9bd17a)\n\nThe internet is filled with incredible video content, but finding the exact moments you're looking for can feel impossible. \n\nCurrently, typical video search falls into one of two categories:\n\n**1. Searching short-form video content**\n\n* Search TikTok or YouTube Shorts for clips made by creators.\n* Settle for recommended clips that don't quite match what you need.\n* Get filtered back into _the algorithm_.\n\n**2. Manually looking through long-form videos**\n\n* Open ten tabs with the top results on YouTube to look through them all.\n* Waste time scrubbing through long videos looking for the moments you want.\n* Miss valuable insights buried in obscure content.\n* Give up searching altogether.\n\n### We built Remy to solve this.\n\nInstead of treating videos as single units, [Remy](https://www.useremy.com/) understands what's happening inside every second of every video. It's like having a brilliant research assistant who's watched everything on the internet and can quickly find the exact moments you care about.\n\nThink of all the knowledge trapped in hour-long podcasts, conference talks, interviews, and tutorials. Remy sets it free by building you personalized playlists that connects the dots across thousands of sources—turning an overwhelming sea of content into a clear story that matters to you.\n\n\n\n## **🔎 How Remy works:**\n\n1. Tell Remy what you're curious about\n2. Remy searches through the internet's video content\n3. Remy curates a playlist of perfectly clipped moments for you to watch\n\n## **✨ Perfect for:**\n\n* 📚 Learning new skills: **\"Gordon Ramsay explaining expert knife techniques\"**\n* 🎯 Product research: **\"Professional skiers talking about best skis of 2025\"**\n* 🔍 Deep dives: **\"070 Shake talking about the music scene in New Jersey\"**\n* 📰 News & updates: **\"What does Sam Altman think about what's happening with AI regulation?\"**\n\n## **🤨 What makes Remy different:**\n\n* Real-time search across billions of videos\n* Smart clipping that captures full context\n* Conversational interface for natural discovery\n* Playlists that make sense for your search, not just random clips\n\nAs your searches evolve, Remy understands the context and narrows down results in real time, finding clips that otherwise might be buried deep within hours-long videos. Have questions about a clip it found? Just ask in the chat and get answers rooted in the content Remy found for you.\n\n### Give Remy a try today to discover videos you never knew existed.\n\n", "url": "https://www.ycombinator.com/launches/MIP-remy-the-chatbot-that-s-seen-every-video-on-youtube", "votes": 49, "created_at": "2024-11-19T20:47:39.072Z" }, { "id": 80492, "title": "Instaclass: Make a masterclass on literally anything", "tagline": "Instaclass lets you make a masterclass on anything with the best content on the internet", "body": "[Instaclass](https://myinstaclass.com/) lets you make a masterclass on anything you want, using the best content that's already on the internet.\n\nWe’ve spent the last year building and launching in the AI content consumption space, from games to podcasts to news to videos. What we’ve learned is that we don’t need AI to create content for us. Everything you could possibly need or want to consume has probably already been created; _it’s just hard to find, and you don’t always know what to look for_. Instead of using AI to create content, we believe AI should play a role in curating human-made content.\n\nOn the back of all of this work and these insights, we have built [Instaclass](https://myinstaclass.com/).\n\n![uploaded image](/media/?type=post&id=80492&key=user_uploads/1444428/f9dbfab3-e0c1-4518-ae87-ba05f3caf9b5)\n\n[Instaclass](https://myinstaclass.com/) lets you build classes on anything you want, no matter how niche, doing the hunter-gatherer portion of research for you so you don't need to spend a day trawling through the internet looking for good content to learn with.\n\nWe use Instaclass daily to learn about [_brewing better coffee_](https://myinstaclass.com/home/0510f5fd-420c-4023-b394-39c3c6074c1e/f4157ffb-def7-44b8-bb6a-80c933ed3054)_, _[_the Fallout universe and lore_](https://myinstaclass.com/home/0c315ab0-a562-46d5-94e5-8013f3be40d3/3b0fdf63-c6a6-4feb-a883-b8f207409810)_, _[_the French Revolution_](https://myinstaclass.com/home/0cf5ac0a-025b-455b-9e17-344d221cec2f/347c6edc-6b41-43c8-8a0b-2ec32471f6a8)_, and _[_cooking tips from Gordon Ramsay_](https://myinstaclass.com/home/0510f5fd-420c-4023-b394-39c3c6074c1e/acbcc328-a9a1-4158-a892-2a04b8d5c830)_._ We’ve joked that this would have been really helpful in the early days of each of our previous pivots - if you know us, then you’d know this one on [_how to build video games_](https://myinstaclass.com/home/1d5a2b90-86c1-471a-933c-6903d1f93206/443c077a-34bc-400a-abc3-6284d6a3e1e7) would have been worth its weight in gold.\n\n_Users have done everything from learning _[_how to give a sales pitch for an interview_](https://myinstaclass.com/home/8ee4cb8a-0ab4-4d88-83c2-50d582fe1adb/9be936bd-c058-4ad8-be2d-f292bd1059e9)_ to _[_how to be nice to your boyfriend_](https://myinstaclass.com/home/1db8a552-515d-4029-9eba-68c807329668/299d2703-4b49-4743-a83a-d9168cbc3874)_._\n\n[Instaclass](https://myinstaclass.com/) pulls in information from across the web on a particular topic and puts it in a course format so you can go in with no idea about a topic and come out decently well-informed.\n\nTry it out, and let us know what you think! We are limiting free credits at the moment, so if you run out, join the waitlist, and we’ll email you when more become available. Looking forward to seeing what you all make!", "url": "https://www.ycombinator.com/launches/KwG-instaclass-make-a-masterclass-on-literally-anything", "votes": 172, "created_at": "2024-04-29T17:51:32.573Z" } ] }, { "id": 29092, "name": "dili", "slug": "dili", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9e905bd15e69e145959bbab0b2b161c61c3dd16c.png", "website": "https://www.dili.com", "all_locations": "New York City, NY, USA", "long_description": "Dili (YC S23) is building the most reliable AI automation for compliance in real-world industries.\r\n\r\nAcross energy, infrastructure, datacenters, advanced manufacturing, and construction, Dili has run prevailing wage, apprenticeship, & other labor compliance to help customers secure over $1 billion in federal funding.\r\n\r\nDili is building the AI system of record to help physical industries track compliance, analyze labor and spend, run payroll, and more. ", "one_liner": "Automating Compliance for Construction", "team_size": 15, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1686681508, "tags": [ "Fintech", "B2B", "Compliance", "Energy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/dili", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/dili.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dili-ai/", "x_url": "https://twitter.com/dili_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/dili-e466", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9e905bd15e69e145959bbab0b2b161c61c3dd16c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6c8352b3b1beae02ba227c90161f5c2a41e30041.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 312266, "full_name": "Anand Chaturvedi", "title": "Founder/CEO", "founder_bio": "Anand Chaturvedi is the Co-Founder & CEO of Dili working in New York, NY. Anand led engagement growth at Coinbase (S12) to increase revenue by $50M, and built out KYC/AML systems. Previously, Anand has conducted ML research at Apple, working on new hardware products. Anand is a fellow at Kleiner Perkins, and holds a Bachelor's & Master's in Machine Learning from Georgia Tech.", "is_active": true, "linkedin_url": "https://linkedin.com/in/anandchaturvedi1", "x_url": "https://twitter.com/metanand", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2ca2da781fefc7d0c8c5e13645f68d3b19964d31.jpg" }, { "user_id": 622827, "full_name": "Brian Fernandez", "title": "Founder", "founder_bio": "Building compliance automation that keeps America’s big projects moving.", "is_active": true, "linkedin_url": "https://linkedin.com/in/brianfernandez1", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/77ad83f3bb203ba0822fbdce07ca643bfb8d309d.jpg" } ], "jobs": [ { "id": 75683, "title": "Founding Business Development Representative", "url": "https://www.ycombinator.com/companies/dili/jobs/PkNc0a5-founding-business-development-representative", "location": "New York, NY, US / Remote (US; CA)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$65K - $95K", "equity_range": "0.05% - 0.10%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 76552, "title": "Senior Full-Stack Engineer", "url": "https://www.ycombinator.com/companies/dili/jobs/C4KB131-senior-full-stack-engineer", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$125K - $200K", "equity_range": "0.10% - 0.30%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79796, "title": "Compliance Customer Success Manager", "url": "https://www.ycombinator.com/companies/dili/jobs/JihtpfK-compliance-customer-success-manager", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $130K", "equity_range": "0.05% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 101985, "title": "Product Manager", "url": "https://www.ycombinator.com/companies/dili/jobs/VzbrBab-product-manager", "location": "New York, NY, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$160K - $190K", "equity_range": "0.10% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 101986, "title": "DevOps Engineer", "url": "https://www.ycombinator.com/companies/dili/jobs/mTPjPZe-devops-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "$180K - $220K", "equity_range": "0.10% - 0.20%", "experience": "6+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Python", "Docker", "Terraform" ] }, { "id": 103107, "title": "Demand Gen Marketer", "url": "https://www.ycombinator.com/companies/dili/jobs/vRGv4ue-demand-gen-marketer", "location": "New York City, NY / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$95K - $225K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 108688, "title": "Senior QA Engineer", "url": "https://www.ycombinator.com/companies/dili/jobs/VkpvtaS-senior-qa-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "QA engineer", "salary_range": "$160K - $190K", "equity_range": "0.05% - 0.20%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 108949, "title": "Senior QA Engineer", "url": "https://www.ycombinator.com/companies/dili/jobs/xVXDovT-senior-qa-engineer", "location": "New York City, NY / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 111953, "title": "Sale Operations Manager", "url": "https://www.ycombinator.com/companies/dili/jobs/e0gtTc4-sale-operations-manager", "location": "Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116802, "title": "Founding Recruiter", "url": "https://www.ycombinator.com/companies/dili/jobs/BUyQpRH-founding-recruiter", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiting lead", "salary_range": "$150K - $195K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117032, "title": "Founding Recruiter", "url": "https://www.ycombinator.com/companies/dili/jobs/6XscHNV-founding-recruiter", "location": "New York City, NY / Remote (US)", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117462, "title": "Customer Success Specialist", "url": "https://www.ycombinator.com/companies/dili/jobs/8smosJB-customer-success-specialist", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$70K - $90K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Dili raises $21.7M to bring AI compliance to the infrastructure boom | TechCrunch", "url": "https://techcrunch.com/2026/07/30/dili-raises-15-million-to-bring-ai-compliance-to-the-infrastructure-boom/", "date": "Jul 30, 2026" }, { "title": "Dili Raises $21.7m from Khosla Ventures to Bring AI-Powered Assurance to America’s Infrastructure Boom", "url": "https://finance.yahoo.com/technology/ai/articles/dili-raises-21-7m-khosla-193900367.html", "date": "Jul 29, 2026" }, { "title": "Dili wants to automate due diligence with AI | TechCrunch", "url": "https://techcrunch.com/2024/02/19/dili-wants-to-automate-due-diligence-with-ai/", "date": "Feb 19, 2024" }, { "title": "Y Combinator Demo Day 2023: Our favorites Day 2 | TechCrunch", "url": "https://techcrunch.com/2023/09/07/ycombinator-demo-day-two-summer-2023/", "date": "Sep 07, 2023" } ], "launches": [ { "id": 82651, "title": "Dili: The most reliable AI for diligence on high-stakes deals", "tagline": "Dili has provided diligence and red flags on 3000+ deals across tax credits, real estate, private credit and PE.", "body": "Hi everyone, we are Brian and Anand. We had a big month at Dili with +210% revenue growth MoM, and we wanted to publicly share how Dili can improve underwriting and investment outcomes for our customers.\n\n![uploaded image](/media/?type=post&id=82651&key=user_uploads/312266/5c9775a5-577f-46a8-b175-df7c53aa86e7)\n\n**🧨 The Problem: Due Diligence is time-consuming, prone to human error, and today’s AI is not equipped to handle these mission-critical workflows**\\\n\\\nDue diligence today can mean spending weeks digging up data in datarooms using your domain-specific knowledge and presenting findings in memos to make multi-million-dollar investment decisions. All of this work is manual, time-consuming, and very often prone to human error. There are several cases where it is not feasible to have a human sift through 100’s of documents to find the red flag buried deep in the data room. Today’s AI models are not accurate enough to assist with mission-critical use cases like underwriting $60M+ tax credit transactions, $100M+ loan & lease abstraction, deal screening, and drafting investment memos.\\\n\\\n**🧿 The Solution: Dili’s AI Platform reads every file to generate relevant reports - with confidence scores.**\n\n![uploaded image](/media/?type=post&id=82651&key=user_uploads/312266/a75b94cc-08d8-475d-87eb-2722f0f2ff4b)\n\nDili is built to be the most reliable platform for automating diligence and portfolio management workflows. It can read every file in a dataroom and provide reports with confidence scores on every output so you know when something needs your attention. Using the in-app file viewer, you can inspect sources directly with text highlighted.\n\n![uploaded image](/media/?type=post&id=82651&key=user_uploads/312266/1ce274aa-4733-4e59-aca9-d9275250bac9)\n\nFirms can now tune Dili using their domain knowledge and instructions to fit their custom templates, reports, and SOPs. Using this fine-tuned expertise, Dili has found and fixed critical red flags and human errors on several multi-million dollar transactions across 3000+ deals.\n\n**Dili has been used to automate:**\n\n✅ **Tax credit** diligence to validate credits and underwrite risk on transactions\n\n✅ **Real estate** OM screening, loan, and lease abstraction\n\n✅ **Private Equity and Private Credit** deal screening and DD checklists\n\n✅ **VC** portfolio monitoring and drafting investment memos\n\n\n\n### **👋 Ask: How you can help**\n\n* If you are involved in tax credit, real estate, or private credit/PE transactions, we’d love to share how Dili can help you. Book a demo [here](https://calendly.com/anand-dili-ai/30min).\n* Follow along on [LinkedIn](https://www.linkedin.com/company/dili-ai/) & [Twitter](https://twitter.com/dili_ai)!", "url": "https://www.ycombinator.com/launches/LV5-dili-the-most-reliable-ai-for-diligence-on-high-stakes-deals", "votes": 15, "created_at": "2024-08-01T19:01:58.230Z" }, { "id": 73138, "title": "🧿 Dili: Accelerating due diligence with AI", "tagline": "Dili is the newest analyst on your deal team - who lets you complete due diligence in hours, not weeks.", "body": "**_Tl;dr:_** _Dili is an AI platform that accelerates manual tasks involved in the due diligence process for both buy- and sell- side deal teams. We make it easier for the buy-side (PE/VC funds) to invest in and buy companies, and for the sell-side to streamline due diligence processes for capital raises or M&A. Dili helps you make data-driven investment decisions through due diligence - from understanding the deal dataroom, leveraging your firm’s internal knowledge, to crafting investment deal materials. _[_Contact us here_](https://www.diliai.com/)_._\n\n\\\nHi everyone, we are Stephanie, Brian, and Anand - the co-founders of Dili! After working together at Coinbase, we decided to take on the challenge of making the due diligence process for capital markets more efficient for both buy-side and sell-side deal teams.\n\n![uploaded image](/media/?type=post&id=73138&key=user_uploads/312266/1392cf6c-9a41-45c9-b07c-eba28b21eb7b)\n\n### **🧨 The Problem: Due diligence is a time-consuming, manual process that is required for doing deals**\n\nStephanie (CEO, Co-founder) spent years working in investment banking, corporate development, and venture capital doing over $500m+ in deal volume. Her job consisted of several hours a day of tedious, manual tasks and workflows while conducting due diligence on deals. Today, due diligence means spending weeks or months carefully reading through company datarooms, digging up data across internal tribal knowledge & external sources, and analyzing or presenting findings in memos to make million dollar investment decisions.\n\nThis time-consuming, manual process means investors see fewer deals per year - and cannot dive deep enough on thorough due diligence for each deal. (i.e., JP Morgan’s recent acquisition of Frank!)\n\n### **🧿 The Solution: Dili’s AI platform that helps you make better investment decisions**\n\nDili is an LLM-powered platform that creates insights and analyses for investors which sits on top of 3 sources of data: 1.) the dataroom from the company you are doing due diligence on, 2.) a custom built structured internal knowledge database for your unstructured data, 3.) data integrations from your favorite external partners. Our solution helps you conduct data-driven due diligence because it improves the quality of due diligence conducted. LLMs run on top of all available internal and external data to provide you with better analyis and insights, making it 5x faster by automating the most manual parts of the process.\n\nImagine a new deal comes across your desk - you can use Dili to deeply **understand the information in a dataroom**, automatically find anomalies or red flags, and instantly calculate financial metrics/models.\n\n![uploaded image](/media/?type=post&id=73138&key=user_uploads/312266/c0e1c5c7-e38b-4a87-909f-5e11f7c9cb65)\n\nIf you wish to proceed with the deal - Dili structures and searches through your firm’s **internal knowledge base** as well as **external sources** (Pitchbook, Crunchbase, Tegus, LinkedIn etc.) to provide comprehensive comparables analysis and dashboard metrics for each new deal.\n\n![uploaded image](/media/?type=post&id=73138&key=user_uploads/312266/20b06589-6dbf-4335-b6dd-a4038b83a363)\n\nFinally, as you are coming to a thesis and writing an investment memo - Dili can put together a **first-cut memo / deal packet in minutes**, not days.\n\nUsing Dili, **PE & VC Firms**:\n\n✅ Conduct a due diligence deep dive on several more companies per year\n\n✅ Catch red flags early during due diligence (like Frank’s list of fake usernames) to potentially save millions\n\n✅ Search through a database of every company your firm has seen, to find comparables across your entire knowledge base\n\n✅ Get AI-enhanced insights to make better data-driven investment decisions\n\n### \n\n### **👋 Ask: How you can help**\n\n* If you’re an **investor** looking to improve your due diligence process, we’d love to share how Dili can help you. [Book a demo here.](https://calendly.com/steph_dili/30min)\n* If you are a **startup** planning to fundraise soon, we could help make this process easier. [Contact us here.](https://mailto:sales@diliai.com?subject=Connecting%20you%20to%20Dili)\n* Please share this post, and follow along on [LinkedIn](https://www.linkedin.com/company/dili-ai/) & [Twitter](https://twitter.com/dili_ai)! 🧿", "url": "https://www.ycombinator.com/launches/J1e-dili-accelerating-due-diligence-with-ai", "votes": 76, "created_at": "2023-07-17T15:57:36.172Z" } ] }, { "id": 29093, "name": "Roame", "slug": "roame", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f2575793e5340c7b238109e6ddb277c072e9469.png", "website": "https://roame.travel/", "all_locations": "San Francisco, CA, USA", "long_description": "Roame is flight search engine design for credit card points and miles. We help travelers redeem their points for dream vacations in seconds rather than days.\r\n\r\nAt Roame, we are on a mission to revolutionize travel and consumer finance. We stand at the intersection of travel tech and fintech.", "one_liner": "Flight search engine using credit card points and miles", "team_size": 3, "industry": "Consumer", "subindustry": "Consumer -> Travel, Leisure and Tourism", "launched_at": 1685728226, "tags": [ "SaaS", "Travel", "Airlines", "Consumer Finance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Consumer", "Travel, Leisure and Tourism" ], "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/roame", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/roame.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/roametravel/", "x_url": "https://twitter.com/roametravel", "fb_url": "https://www.facebook.com/groups/roame/", "cb_url": "https://www.crunchbase.com/organization/roame-travel/", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f2575793e5340c7b238109e6ddb277c072e9469.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": 1214689, "full_name": "Tim Qin", "title": "Founder", "founder_bio": "Tim is the co-founder & CEO of Roame (S23). Over the last few years, he has invested billions of dollars in internet travel and financial services companies while working at UBS Asset Management, Fidelity, and Affiliated Managers Group. Tim started his career as an engineer at Lockheed Martin.\n\nTim received an MBA from Harvard Business School and a BS in Operations Engineering from Columbia University.\n\nFor investment inquiries: tim@roame.travel", "is_active": true, "linkedin_url": "https://linkedin.com/in/timqin", "x_url": "https://x.com/timtqin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9ea315bcec594efab1aebbb631ddc3c0e974cb37.jpg" }, { "user_id": 39955, "full_name": "Zi Liu", "title": "Founder", "founder_bio": "Zi (CTO) ran all of Airbnb’s encryption services, creating and managing billions of cryptographic requests from payments vaulting to healthcare data. He started his career in Machine Vision AI processing at the Department of Defense in Oak Ridge. Zi studied computer science at Dartmouth.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ziyuanliu", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d58a5fd7d90138ce06e5edb6879d7d13cc057c53.jpg" } ], "jobs": [ { "id": 102290, "title": "Founding Growth Lead", "url": "https://www.ycombinator.com/companies/roame/jobs/zIcqBhL-founding-growth-lead", "location": "Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 102742, "title": "Lead Full-Stack Engineer ", "url": "https://www.ycombinator.com/companies/roame/jobs/mqqfa38-lead-full-stack-engineer", "location": "US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$175K - $250K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 103197, "title": "Content Systems Builder / Editor", "url": "https://www.ycombinator.com/companies/roame/jobs/KuVVqSh-content-systems-builder-editor", "location": "US / Remote (US)", "type": "Contract", "role": "Marketing", "role_type": null, "salary_range": "$40K - $80K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 111233, "title": "Marketing & Partnerships Lead", "url": "https://www.ycombinator.com/companies/roame/jobs/qm0TNqs-marketing-partnerships-lead", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $160K", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 72364, "title": "✈️ Roame - Google Flights using points & miles", "tagline": "Maximize the value of your credit card points and miles with the best-in-class award travel search engine", "body": "### **TL;DR:**\n\nAt [**Roame**](https://roame.travel/), our goal is to help you maximize the value of your credit card points and miles while reducing the work needed by 100x. \n\nCredit card points and miles have become so widespread that it’s essentially an $100+ billion asset class. Yet, the process to redeem those points for outsized-valued flights is quite convoluted. Everyone wants to redeem an international first class ticket for 70K points, but few know how and the process can take up to 30 hours to fully optimize. Experts know the tricks of redeeming points, but most people, including frequent flyers, do not.\n\n### **⭐️ Team**\n\n![uploaded image](/media/?type=post&id=72364&key=user_uploads/1214689/fde7241e-261f-4e2e-8376-0834cd643e38)\n\nOur First Class Japan Airlines flight from Tokyo to San Francisco, booked for just 70K miles each using [**Roame**](https://roame.travel/)!\n\n[**Tim Qin**](https://www.linkedin.com/in/timqin/) **(CEO)** is a points and miles geek. He spent the last 10 years as a successful investor and operator in internet travel, financial services, and ad-tech companies, earning more than a hundred million for clients.\n\n[**Zi Liu**](https://www.linkedin.com/in/ziyuanliu/) **(CTO)** is a full-stack software engineer. He was most recently in charge of Airbnb’s encryption services, creating and managing billions of cryptographic requests.\n\n### **❌ Problem**\n\n1. **Data** access is limited and fragmented for points redemptions. What you find on the travel portals are oftentimes not the best deals.\n2. **Time-consuming** to find flights and hotels to book using points. Can take up to 30 hours per trip to search across multiple loyalty programs to take advantage of complicated award redemption rules and that’s just for 1 ticket.\n3. **Underutilization** of points and miles leading to dissatisfaction and churn. Chase / Amex portals allow customers to book flights using points-to-cents value on a 1:1 to 1:1.5 ratio, whereas the true value of points can only be realized through airline partner transfers where users can find points-to-cents value ratio up to **1:25**!\n\n### **✨ Solution**\n\nWe built [Roame](https://roame.travel/) as the best-in-class award flight search engine, supporting 12 airline loyalty programs and delivering results in  seconds. We even one-up Google Flights by allowing you to search from multiple origin and destination airports including entire states, countries, and even continents.\n\n![uploaded image](/media/?type=post&id=72364&key=user_uploads/1214689/673c55d7-864f-406b-b298-6dfdee20e42c)\n\nWe currently search for points redemption availability across these 12 airline programs and their partners airlines (180+):\n\n 1. AeroMexico Club Premier\n 2. Air Canada Aeroplan\n 3. Air France / KLM Flying Blue\n 4. Alaska Mileage Plan\n 5. American Airlines AAdvantage\n 6. Avianca Lifemiles\n 7. Delta SkyMiles\n 8. Emirates Skywards\n 9. Iberia Plus\n10. Jetblue TrueBlue\n11. United Airlines MileagePlus\n12. Virgin Atlantic Flying Club\n\n### **🙏 Asks**\n\n* **Sign up** for [**Roame**](https://roame.travel/) and search for **free**! Would love feedback or suggestions on how we can make Roame better serve your points journey.\n* Connect us with **credit card issuers** (Chase, American Express, Citi, Capital One, Wells Fargo, etc.), **networks** (Visa, Mastercard, etc.), **personal finance gurus/apps** (CreditKarma, NerdWallet, CreditSesame, etc.), and **travel bloggers/content writers**.\n\nMaximize the value of your points and miles with [Roame](https://roame.travel/) ✈️\\\nYou can follow us on [Instagram](https://www.instagram.com/roame.travel/) or [Twitter](https://twitter.com/roametravel). You can also reach us at [founders@roame.travel](mailto:founders@roame.travel).", "url": "https://www.ycombinator.com/launches/IpA-roame-google-flights-using-points-miles", "votes": 461, "created_at": "2023-06-19T15:25:11.058Z" } ] }, { "id": 29100, "name": "CheqUPI", "slug": "chequpi", "former_names": [ "Terrafin Solutions Pvt Ltd" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a843f9faa1181a347ed222e5101c43bcf320c8d8.png", "website": "https://www.cheq.money", "all_locations": "Bengaluru, KA, India; San Francisco, CA, USA", "long_description": "Cheq is a modern UPI payments app for NRIs and international citizens visiting India. \r\nUsing Cheq, you can pay digitally at over 55mn+ merchants across India. \r\nWe help tourists avoid ATMs and minimize their foreign exchange costs while in India.\r\n\r\n\r\n", "one_liner": "India's first UPI wallet for foreign nationals and NRIs", "team_size": 15, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1690215615, "tags": [ "Fintech", "Payments", "India", "Consumer Finance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "Fintech" ], "regions": [ "India", "United States of America", "South Asia", "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/chequpi", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/chequpi.json", "year_founded": 2021, "city": "Bengaluru", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/cheq-it/", "x_url": "https://twitter.com/cheqit_", "fb_url": "https://instagram.com/cheqit_", "cb_url": "https://www.crunchbase.com/organization/cheq-money", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a843f9faa1181a347ed222e5101c43bcf320c8d8.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": 267716, "full_name": "Sudhanshu Shekhar", "title": "Founder", "founder_bio": "Building Cheq UPI - A better payments app for foreign nationals and NRIs visiting India.\n\nPrevious work experience: Ispirt, Zeta, Headout, Walmart", "is_active": true, "linkedin_url": "https://linkedin.com/in/sudshekhar02", "x_url": "https://twitter.com/sudshekhar02", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ce41d08bd1f25e97db6131c543b0cc452940bc99.jpg" }, { "user_id": 513391, "full_name": "Manish Shukla", "title": "Founder", "founder_bio": "Building Cheq UPI to enhance the digital payment experience of foreign nationals and NRIs\n\nPrevious experience: Zeta, Ispirt ", "is_active": true, "linkedin_url": "https://linkedin.com/in/mkshukla", "x_url": "https://twitter.com/mani__shukla", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/86497d951933f5eb478ffee2d0a23b7f49fd5413.jpg" } ], "jobs": [], "news": [ { "title": "Foreign tourists go cashless in India: Cheq in partnership with Transcorp issues UPI wallets to users from 8 nationalities, ET TravelWorld", "url": "https://travel.economictimes.indiatimes.com/news/technology/foreign-tourists-go-cashless-in-india-cheq-in-partnership-with-transcorp-issues-upi-wallets-to-users-from-8-nationalities/99107922", "date": "Mar 31, 2023" }, { "title": "Cheq Launches India's First UPI-enabled Payment Wallet for Foreign Tourists | Zee Business", "url": "https://www.zeebiz.com/agencies/cheq-launches-indias-first-upi-enabled-payment-wallet-for-foreign-tourists-223058", "date": "Feb 22, 2023" } ], "launches": [ { "id": 73875, "title": "Cheq UPI: Digital payments for NRIs and foreigners in India", "tagline": "Cheq is India's 1st UPI payment app for international citizens and NRIs", "body": "Hi everyone!\n\nCheq is a UPI payment wallet for Non-Resident Indians (NRIs) and foreign citizens visiting India.\n\nUsing Cheq, you can purchase almost any goods/services across India 🇮🇳. \\\nJust scan the merchant QR code / choose the pay by UPI id option to make the purchase. We accept all international debit/credit cards and support international phone numbers.\n\n### Foreigners Struggle to make payments in India\n\nMost foreigners visiting India will invariably face one of the below problems👇\n\n1. Indian merchant not accepting your international credit card\n2. Indian merchants not tendering exact loose change (you’ll collect lots of candies!)\n3. Unavailability of ATMs/money changers at remote locations\n\n### Indian Expats struggle to make payments in India\n\n1. Enabling UPI on an international number doesn’t work.\n2. Linking NRE/NRO accounts to UPI does not work\n3. NRE/NRO accounts are linked to the customer’s (often deactivated) Indian phone number.\n\nMore than **10mn+** **international citizens** visiting India each year regularly **face issues in making payments**!\n\n### Cheq UPI lets foreigners pay digitally in India 🇮🇳\n\n![uploaded image](/media/?type=post&id=73875&key=user_uploads/267716/4bd562de-f083-45f2-aa36-84e50bd3beb6)\n\n1. Cheq provides NRIs/Tourists with a digital UPI wallet that can be used to purchase goods/services across 55mn+ merchants across India\n2. Users can add money to their Cheq wallet anytime, anywhere via their international debit/credit card 💳\n3. Purchasing INR through Cheq is much cheaper than exchanging currency at the airport. We strive to serve you for less.\n4. Having Cheq, lets you travel throughout India cashlessly. Your bank card details remain safe from ATM fraud and clone attacks.\n\n### People from 16 different nationalities are already using Cheq UPI\n\n[Meet our customers](https://www.youtube.com/watch?v=4Ct5WY9vOz4)\n\n[Renatha, from Brazil, goes cashless in India](https://www.youtube.com/shorts/L_w7OWK-Uqo)\n\n[Leo loves Cheq UPI](https://www.youtube.com/watch?v=LgI7HJTH8Uw&t=1s)\n\nNote: Cheq accounts can only be activated after the customer finishes in-person passport verification in India. We provide at-home verification facilities in more than 22 cities across India.\n\n### Pricing\n\nWe charge a one-time joining fee of Rs 800 (10$) to every customer. This covers the cost of verifying your profile and running our business.\n\n### Meet the team\n\nWe are [@Manish Shukla](https://www.linkedin.com/in/mkshukla/) and [@Sudhanshu Shekhar,](https://www.linkedin.com/in/sudshekhar02/) the co-founders of [@CheqUPI](https://www.chequpi.com). Both of us are passionate about finance and technology and we’ve known each other for 12 years now.\n\nHaving lived the life of an expat abroad, we’re empathetic to the problems being faced by them in the Indian market. Our goal with Cheq is to make life a little easier for every traveler visiting India.\n\n![uploaded image](/media/?type=post&id=73875&key=user_uploads/267716/c174b7e2-8d6c-43e5-8a06-658a93da2e82)\n\n### Can you help us grow? 🙏\n\n1. We just launched today on Product Hunt! If you actively use PH, please drop us an upvote 🙂 \\\n \n2. If you know any companies/startups frequently sending travelers to India, please put me in touch with their founders/representatives. We’ll provide them with the best fintech experience in India ✨ \\\n ( reach me at sudhanshu@[cheq.money](http://cheq.money) )\n3. If you’re traveling to India, [Download our app](https://link-to.app/chequpiwebsite)\n\nIf you have any questions/feedback on the services offered by Cheq, please don’t hesitate to reach out!\n\nThank you\n\n### Connect with us👇\n\n1. Cheq:\n 1. Product link: \n 2. Website: \n2. Founders\n 1. Sudhanshu - \n 2. Manish - ", "url": "https://www.ycombinator.com/launches/JDX-cheq-upi-digital-payments-for-nris-and-foreigners-in-india", "votes": 22, "created_at": "2023-08-07T18:38:34.759Z" } ] }, { "id": 29101, "name": "Cargo", "slug": "cargo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0d8cb5eeb1f59caf6bbe0cc250f3653dd62358d.png", "website": "https://getcargo.io", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "We’re redefining how teams execute GTM by making them leaner, faster and engineer-driven. In an AI-first world, we’re replacing SDR-heavy models with a hybrid approach, empowering full-cycle AEs through a blend of manual effort and automation.\r\n", "one_liner": "Build your GTM workforce", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1687355301, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada", "Remote", "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/cargo", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cargo.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cargo-hq", "x_url": "https://twitter.com/cargo_hq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0d8cb5eeb1f59caf6bbe0cc250f3653dd62358d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1182415, "full_name": "Aurelien Aubert", "title": "Founder", "founder_bio": "+10y of experience in data & growth engineering - ex Spendesk (french unicorn)", "is_active": true, "linkedin_url": "https://linkedin.com/in/auree", "x_url": "https://twitter.com/aureeaubert", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/43da9aba44d8b087c2ba4472af630b1cc228c1c1.jpg" }, { "user_id": 1206264, "full_name": "Maxence De Villepion", "title": "Founder", "founder_bio": "10 years xp in generating revenue for fast-growing companies (among them: 2 unicorns: Ledger and Spendesk)", "is_active": true, "linkedin_url": "https://linkedin.com/in/tshaped-marketer", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec15742e5a1e22291cad9147047f13508fda5538.jpg" } ], "jobs": [ { "id": 72406, "title": "Senior Product Engineer", "url": "https://www.ycombinator.com/companies/cargo/jobs/frqAMJ9-senior-product-engineer", "location": "San Francisco, CA, US / Paris, Île-de-France, FR / Remote", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $200K", "equity_range": "", "experience": "6+ years", "visa": "Will sponsor", "skills": [ "Node.js", "React", "TypeScript" ] }, { "id": 73989, "title": "Founding AE", "url": "https://www.ycombinator.com/companies/cargo/jobs/hLc670b-founding-ae", "location": "San Francisco, CA, US / Remote", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 105579, "title": "Sales Development Representative", "url": "https://www.ycombinator.com/companies/cargo/jobs/dIqe5jd-sales-development-representative", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$65K - $100K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 72778, "title": "🚢 Cargo, the revenue architecture for modern teams", "tagline": "Easily segment, score and route leads to turn pipeline into revenue", "body": "### **tl;dr**\n\nCargo is the first revenue architecture built for modern teams. We help revenue teams to access their company data and automate their sales operations. We provide a headless interface to enable them to easily segment, score and route leads to turn pipeline into revenue.\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/4de69132-aa36-4e7e-9574-a34127936fa2)\n\nSalut 🇫🇷, we are Aurelien and Max, 2 passionated people about data and go-to-market with more than 10+ experience. We previously met at Spendesk where we used to built together the revenue engine in house, feeding more than 200 sales on autopilot, in our 3 different markets and bringing the meeting booked rate from 5% to 15%.\n\n### **All in one CRM are dead**\n\nOver the past years, the number of tools used by revenue teams have increased significantly. Sales/marketing/finance data and workflows exist in disparate systems and share different definitions.\n\n5 years ago, companies started to invest a lot in data tools (like Dagster, reverseETL, DBT) to consolidate these fragmented data and build their revenue source of truth in Snowflake instead of Salesforce.\n\nHowever, the modern data stack has made revenue teams more than ever dependent from data teams. This ended up creating too technical and unmaintainable revenue workflows.\n\nToday, and especially in this downturn period, companies are looking do more with less. The future belongs to compounds softwares. RevOps teams need to unify their operations in one place without compromising the flexibility.\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/a22f9668-bd79-4c62-ad66-ff9a43bce097)\n\n### **The opportunity**\n\nIn today’s reality, 80% of SaaS companies offer a sales-driven customer approach. Even with the new hype of PLG as a GTM motion, there is more than never a need to prioritize on which accounts the sales reps should focus their energy.\n\n**Current systems don’t solve marketing and sales alignment**\n\nFor years, the alignment of sales and marketing has been somewhat of a mythical beast in the business world, eluding even the best of us. Companies still have disparate data leading to disconnected customer journeys. Cargo serves as the glue between your revenue stack, so you can easily orchestrate [Allbound strategy](https://www.linkedin.com/posts/tshaped-marketer_allbound-sales-realbuyerjourney-activity-6982722735391006721-K7LQ?utm_source=share&utm_medium=member_desktop) _(ie: coupling inbound & outbound approaches)._\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/e75a4042-59a5-4e5b-9028-8847c1c139f8)\n\n**Current systems don’t make sales rep more efficient**\n\nSales spend only 1/3 of their time selling: the [Salesforce State of Sales 5th edition](https://www.salesforce.com/content/dam/web/en_gb/www/pdf/state-of-sales-5th-edition.pdf) study reveals that Sales reps spend only 28% of their week actually selling. This is a sobering statistic in an era where AI and automation are advancing at a rapid pace. Cargo automates the entire pre-sales journey (waterfall enrichment, data verification, lead prioritization, account assignment & routing to sales sequences + write AI powered sales notes to let sales reps drive meaningful conversation with prospects) and follow the boom of revenue operations.\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/d8e865f3-63f2-48d1-9221-50e846f0c3f6)\n\nThe revenue operations market is considered currently as the fastest growing market and is projected to be multiplied by 3 in 2028.\n\n### **The solution**\n\nWe designed Cargo by getting the most out of unbundling and bundling architectures. Cargo sits directly on top of your company data. We built a set of features to allow revOps teams to easily manage their revenue data & workflows.\n\n**Setup your system of record**\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/639d1103-fb26-4c5b-baf8-99e73d435c03)\n\nKeep the control and flexibility of your data. Your data warehouse is used as the backend of Cargo and data are never stored on our side. Easily leverage the data models built by your data teams and connect them to your revenue sources.\n\n**Define your business entities**\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/09b5b961-2b09-4126-a5d5-09290eef9087)\n\nBe versatile by defining the entities that make sense for your business or use cases. PLG or SLG, Inbound or Outbound, Fintech or Ecommerce, …\n\n**Create your segments**\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/a73a418a-2690-4a08-a968-2ef51ddb442c)\n\nCreate segments without writing any lines of SQL\n\n**Build and deploy your workflows**\n\nOrchestrate your prospect and customer journeys to systematize your sales process and ensure sales reps are loaded up with qualified accounts at scale.\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/9604c20f-6593-4047-bcd6-966227970d91)\n\n## **Asks**\n\n* If you want to grow your pipeline and get more revenue with the same resource, [book a demo with us](https://calendly.com/max-growth/30min) directly and we’ll get you a VIP onboarding asap.\n* Connect us to CRO, Sales ops / Rev ops leaders in your network.\n\n### **Stay in the loop**\n\n* Sign up on \n* Check our [Changelog](http://changelog.getcargo.io) and [Documentation](https://docs.getcargo.io)\n* Follow us on [Linkedin](https://www.linkedin.com/company/cargo-hq)", "url": "https://www.ycombinator.com/launches/Ivq-cargo-the-revenue-architecture-for-modern-teams", "votes": 83, "created_at": "2023-07-05T16:48:16.967Z" } ] }, { "id": 29102, "name": "Kips Health", "slug": "kips-health", "former_names": [ "Solomon", "Tally", "Persona", "Fable", "Advent" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a06810edb3cd0645dab112ab644c476e71c48c8.png", "website": "", "all_locations": "Los Angeles, CA, USA", "long_description": "Kips Health enables physical therapists to automatically collect RTM reimbursements with only 5 minutes of work.", "one_liner": "The only patient engagement software that pays you.", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Consumer Health and Wellness", "launched_at": 1692953112, "tags": [ "Consumer Health Services", "Health Tech", "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "Healthcare", "Consumer Health and Wellness" ], "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/kips-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/kips-health.json", "year_founded": 2023, "city": "Los Angeles", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a06810edb3cd0645dab112ab644c476e71c48c8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1402061, "full_name": "Jarrett Perkins", "title": "Founder", "founder_bio": "CEO at Kips Health. Previously SWE @ Asana", "is_active": false, "linkedin_url": "https://linkedin.com/in/jarrett-perkins", "x_url": "https://twitter.com/jarrett_perkins", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/771670538e7efb4c9c15a298b004a2bfcd952ef0.jpg" }, { "user_id": 1392033, "full_name": "Eric Wang", "title": "Founder", "founder_bio": "Product at Wander. Co-founder of Kips Health (S23)\n\nwww.ericwang.app", "is_active": false, "linkedin_url": "https://linkedin.com/in/eric-l-wang", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f92145255e5fe265ac7c0f65ce5c2062423c88a6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 74451, "title": "🎮 Advent - Video games that never end", "tagline": "Building the next generation of UGC-first games", "body": "### **TL;DR**\n\n[Advent Studios](https://www.adventstudios.gg/) is creating the next generation of video games.\n\n**Games where players are also the creators.**\n\nWith the help of generative AI, players now have an opportunity to dramatically expand on their favorite games. From assets to NPCs, and storylines to dialogue, our games empower every player to create their own in-game content for a never-ending, player-led gaming experience.\n\n### **The Opportunity 💡:**\n\nGaming is already a massive market ($250B in 2022). But unlike traditional game franchises that refresh every few years, games powered by user-generated content (UGC) can maintain massive user bases for decades. \n\nWhy?\n\n**Because players love creating**. Did you know UGC-centric games like Roblox have the highest engagement among all social platforms?  \n\n![](https://lh5.googleusercontent.com/jB6QPulgmRCqaI7SHD2jEWRGSzArapeagaljOa_L1KVBmZV9mVC7toOOOl5SnK-EhGlgTjisD-AhvFhPP8EwgZWQMBPDZFK1-Cz_ptdWJzvoIiltDFChESgHoiFPWQs-M07AR5hSBOGFT9V3VdzaBWg)\n\nAnd with the introduction of generative AI, **we can now unlock a new category of UGC games that weren’t possible before.**\n\n# **Advent Studios 🕹️**\n\nAt Advent Studios, we’re making games that take full advantage of AI and UGC. Some of our early games involve:\n\n* AI narrative storytelling\n* Generative agent NPC’s\n* Customized, generated gaming assets\n* AI-enabled game mechanics\n* User-generated worlds\n\nHere’s a [demo video](https://www.youtube.com/watch?v=WIVqfhI2THs) of how we believe the future of gaming can look:\n\n### **Our Team**\n\nWe met in middle school and we've been best friends ever since. We’re both avid gamers and have put in more hours into Minecraft than we’re comfortable admitting. \n\n![uploaded image](/media/?type=post&id=74451&key=user_uploads/1392033/d6e29b19-ba9c-409c-a046-8212db13873c)\n\n[Eric](https://www.linkedin.com/in/eric-l-wang/): With development experience at Amazon Games and marketing experience on an esports team, Eric already has a wide range of game industry experience. He also supported the launch of two AAA titles during his time at Amazon Games, New World, and Lost Ark, earning development credits on both.\n\n[Jarrett](https://www.linkedin.com/in/jarrett-perkins/): Spent two years with Asana’s Search and Navigation team, helping to refine Asana’s search relevance and leading experiments that increased Asana’s ARR by $2M.\n\n![uploaded image](/media/?type=post&id=74451&key=user_uploads/1392033/e557e34e-68d4-4ac7-a44d-60c903c0698c)\n\n### **Why we’re building Advent**\n\nDuring my time at Amazon Games, I witnessed firsthand how much Amazon struggled to break into the gaming space without strong UGC elements in their games. Now that AI empowers every player to be a creator, we’re on a mission to build the next generation of UGC-first games so every gamer can feel how we felt the first time we played Minecraft.\n\n### **Offer**\n\nFollow us on [twitter](https://twitter.com/playadvent) to get free **lifetime access** to closed beta testing for all of our future games.\n\n### **Asks**\n\nIf you or someone in your network is excited about the future of gaming, we’d love to connect! You can email us at [founders@adventstudios.gg](mailto:founders@adventstudios.gg).", "url": "https://www.ycombinator.com/launches/JMp-advent-video-games-that-never-end", "votes": 34, "created_at": "2023-08-28T20:12:27.112Z" } ] }, { "id": 29103, "name": "Inconvo", "slug": "inconvo", "former_names": [ "ten.dev", "Ten" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/42126d50fed615bc74167d22b4985b25e9d25fad.png", "website": "https://inconvo.com", "all_locations": "Limerick, County Limerick, Ireland", "long_description": "Inconvo is the open-source platform for building data agents on production data. With safe queries, permissions, and structured outputs.\r\n\r\nUse Inconvo to build and deploy data agents that query production databases and can be called directly from your application. You get safe query execution, permissions, stateful conversations, and observability out of the box.", "one_liner": "Build chat-with-data agents for customer-facing applications", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1690946743, "tags": [ "Developer Tools", "Analytics", "API", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Ireland", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/inconvo", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/inconvo.json", "year_founded": 2023, "city": "Limerick", "country": "IE", "linkedin_url": "https://www.linkedin.com/company/inconvoai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/42126d50fed615bc74167d22b4985b25e9d25fad.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1151062, "full_name": "Eoghan Mulcahy", "title": "Founder", "founder_bio": "Co-founder of Inconvo ", "is_active": true, "linkedin_url": "https://linkedin.com/in/eoghan-mulcahy", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7ff19867067d1703d0f567694ee725542cc8d350.jpg" }, { "user_id": 1153587, "full_name": "Liam Mulcahy", "title": "Founder", "founder_bio": "Co-founder", "is_active": true, "linkedin_url": "https://linkedin.com/in/liam-mulcahy-418001174", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8dc7299a418449aab17f1a5f3571248e5e83d537.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97668, "title": "📶 Inconvo: Open source AI agent for customer-facing chat-with-data", "tagline": "The easiest way to add reliable chat-with-data to your product", "body": "# TLDR;\n\nInconvo helps companies add chat-with-data agents to their product. We provide a platform for configuring agent rules and directions and a simple API endpoint to call them. We’re open source — check out our repository [here](https://github.com/inconvoai/inconvo). We also offer Inconvo cloud — check it out at [app.inconvo.ai](https://app.inconvo.ai)\n\n[**https://www.youtube.com/watch?v=sbDTAbVG-WQ**](https://www.youtube.com/watch?v=sbDTAbVG-WQ)\n\n# The problem:\n\nToday, many product teams are under pressure to add “data agents” to their apps that connect to live databases and answer user questions.\n\nChat-with-data demos are easy. Shipping one to real customers is hard.\n\nMost teams start with “LLM generates SQL + prompts,” then run into three issues:\n\n* **Data safety:** you can’t reliably stop the model from pulling the wrong rows, crossing tenants, or selecting sensitive columns.\n* **Business correctness:** metric definitions, allowed filters/enums, join paths, and formats get split across prompts which can confuse the model and drift over time.\n* **Boundaries:** because the model can generate arbitrary SQL, “only allow these joins/filters/columns” becomes brittle after-the-fact validation.\n\nThe result is a second system of guardrails and checks just to make it safe to ship.\n\n### The solution:\n\nInconvo flips the approach: constrain the agent up front instead of trying to rein it in after.\n\n* **A semantic model as the contract:** define approved tables/columns, metrics, filters/enums, and join paths in one place.\n* **Constrained query plans (not SQL):** the model outputs structured query plans which are validated against your semantic model before execution.\n* **Automatic access rules:** tenant scoping and field restrictions are enforced on every request with deterministic code not prompts.\n\nYou can call your data agent from your application in just a few lines of code:\n\n![uploaded image](/media/?type=post&id=97668&key=user_uploads/1151062/a427ef4c-552e-4a7e-8675-671a08023bbf)\n\n# Our ask:\n\nCheck out our repo and leave us a ⭐ on Github: [**https://github.com/inconvoai/inconvo**](https://github.com/inconvoai/inconvo)\n\nRun Inconvo OSS locally `npx inconvo@latest dev` Or sign up to our cloud for free [**https://app.inconvo.ai**](https://app.inconvo.ai)", "url": "https://www.ycombinator.com/launches/PPI-inconvo-open-source-ai-agent-for-customer-facing-chat-with-data", "votes": 6, "created_at": "2026-02-10T17:40:07.857Z" }, { "id": 94541, "title": "Inconvo ⚟: Build MCP servers for SaaS customers", "tagline": "Make your existing data ready for AI apps like ChatGPT to use — quickly and securely.", "body": "# **TL;DR**\n\nConnect your existing database + auth provider and launch an MCP server for your customers in a few minutes.\n\n[Watch me ship an MCP server and connect it to ChatGPT in 2.5 minutes](https://www.youtube.com/watch?v=4G41AQJZMO0)\n\n# The Problem\n\nA few days ago OpenAI announced Apps for ChatGPT — a new generation of apps you can chat with, right inside ChatGPT.\n\n**An MCP server is the foundation of every Apps SDK integration**. It exposes tools that the model can call, enforces authentication, and packages the structured data plus component HTML that the ChatGPT client renders inline.\n\nYou can build an MCP server in one of two ways:\n\nA)\n\n_Load all of your API endpoints into the MCP server as tools and have the client decide which aggregation of tools it should use to fulfil user requests._\n\nThis approach **works well if you already have a highly composable API** designed for data analysis — concretely the API expresses any combination of filters, sorts, and transformations in a structured way.\n\nHowever, most SaaS APIs are designed for record management, not data analysis or flexible retrieval. These APIs break down when presented with the wide array of potential user queries which come with a natural language input.\n\nB)\n\n_Build an AI agent attached to your database which takes in natural language and dynamically generates queries based on the input  — then attach the agent to your MCP as a tool._\n\nThis is **hard to build** because you need to handle conversation state, schema introspection, agent observability, multi-tenancy and query safety.\n\n**Luckily, with Inconvo we offer AI data agents as a service so you don’t need to worry about any of that.**\n\nOverall option B outperforms option A in power and flexibility, while eliminating the need for new API endpoints as user input cases grow.\n\n# Our Solution\n\n![uploaded image](/media/?type=post&id=94541&key=user_uploads/1151062/8f7eac8d-448f-4808-b34b-e3c7d0158a4f)\n\nWith Inconvo you can build a powerful AI agent for data analysis on top of your database and make it available to your users in your own app or the AI apps they already use like ChatGPT.\n\n### How it works\n\n1) Connect your existing database\n\n2) Link your existing authentication and set user data permissions scopes\n\n![uploaded image](/media/?type=post&id=94541&key=user_uploads/1151062/9e056431-135c-4066-b637-5f48d58cd1db)\n\n3) Launch a remote authenticated MCP server in a few clicks, which can be linked easily by your users to ChatGPT etc.\n\n![uploaded image](/media/?type=post&id=94541&key=user_uploads/1151062/0a85474a-2589-4033-afab-f8920ed79b61)\n\n### Inconvo handles the Details\n\nWe give you agent traces and logs for out of the box observability\n\n![uploaded image](/media/?type=post&id=94541&key=user_uploads/1151062/33078fb7-d7bf-43ea-9da1-bd7af1651e73)\n\nAnd a semantic layer so you can improve the data agents performance through context engineering without needing to write any extra code.\n\n![uploaded image](/media/?type=post&id=94541&key=user_uploads/1151062/19a1ea68-0999-4876-8cdb-8992d9bce1e7)\n\n\n# Ready to ship MCP servers for your customers?\n\nYou can **try inconvo today for free** by visiting [**https://inconvo.com**](https://inconvo.com) and creating an account.\n\nOr book a call: [**https://inconvo.com/demo**](https://inconvo.com/demo)", "url": "https://www.ycombinator.com/launches/Oar-inconvo-build-mcp-servers-for-saas-customers", "votes": 10, "created_at": "2025-10-09T21:24:28.025Z" }, { "id": 93332, "title": "Inconvo: AI agents for customer-facing analytics", "tagline": "Build ChatGPT-style analytics into your product", "body": "# **TL;DR:**\n\nInconvo makes it easy to build and deploy AI analytics agents into your SaaS products, so your customers can quickly interact with their data.\n\n# **Problem**\n\nSaaS products typically offer dashboards and reports, which work for high-level metrics but are clunky for drill-downs and slow for ad-hoc questions. \n\nModern users, shaped by tools like ChatGPT, now expect a similar degree of speed and flexibility when getting insights from their data. \n\nTo meet these expectations, you need to ship an AI analytics agent, but these are painful to develop and manage.\n\n# **Solution**\n\nInconvo is a platform built from the ground up for developers building AI agents for customer-facing analytics.\n\nWe make it simple for agents to access data by connecting to SQL databases.\n\n![uploaded image](/media/?type=post&id=93332&key=user_uploads/1151062/a56e965c-a51e-42ad-b63b-a8cdae08d317)\n\nWe provide a semantic model to create a layer that governs data access and defines business logic.\n\n![uploaded image](/media/?type=post&id=93332&key=user_uploads/1151062/8f7567c1-2926-4a1d-915d-5fb52444a9a6)\n\nWe support multi tenant databases by scoping the data an agent can see to specific tenants on a conversation basis.\n\n![uploaded image](/media/?type=post&id=93332&key=user_uploads/1151062/1ddec989-a3aa-4e3e-b2dd-0cc525fdc80b)\n\nWe offer a chat playground making it easy to test agents offline.\n\n![uploaded image](/media/?type=post&id=93332&key=user_uploads/1151062/edfcd6cf-e3b6-4157-9acf-6949259e1f6b)\n\nWe expose a developer-friendly API for easy integration and conversation logs to track user interactions. For observability we show a trace for each agent response, making agent behaviour easily debuggable.\n\n![uploaded image](/media/?type=post&id=93332&key=user_uploads/1151062/bd2f2ae8-a30f-4131-bb89-eac30a0a5821)\n\nHere’s a deeper dive demo video for interested developers showing how we create and call an agent via the API in \\~5 minutes.\n\nhttps://youtu.be/4wlZL3XGWTQ\n\n# Ask\n\nIf this problem is one you face, try us out!\n\n[Book a demo](https://inconvo.com/demo) or [Sign up for free](https://auth.inconvo.ai/en/signup).\n\n![uploaded image](/media/?type=post&id=93332&key=user_uploads/1151062/14c14e6a-af3a-4ebf-a99f-79829304ec03)\n\n", "url": "https://www.ycombinator.com/launches/OHM-inconvo-ai-agents-for-customer-facing-analytics", "votes": 8, "created_at": "2025-08-26T14:03:59.256Z" }, { "id": 88017, "title": "Inconvo: Ask-AI for customer-facing analytics", "tagline": "Build an AI-first analytics experience your users will obsess over.", "body": "# **TLDR;**\n\nInconvo **makes it easy for developers to add Ask AI for customer-facing analytics** so that users can ask questions on their data in natural language. \n\n[Watch our demo!](https://youtu.be/1kpS48ifOAY)\n\nWith Inconvo, shipping AI-first analytics is easy. Just send a user question to our API, and it will respond with a chart, table, or text.\n\n# **The Problem**\n\n**Ask-AI for customer-facing analytics should deliver on its promise of being intelligent**, capable of answering dynamic user questions and not limited to a set of basic canned prompts.\n\nBut, **building genuinely intelligent Ask-AI for customer-facing analytics is hard.**\n\nYou need…\n\n**An AI Agent** to dynamically retrieve relevant data that:\n\n* Automatically connects to your database.\n* Intelligently queries, joins, filters, and transforms data based on user questions.\n* Responds with answers in human-readable formats (text, chart, table).\n\n![uploaded image](/media/?type=post&id=88017&key=user_uploads/1151062/2afe2960-8150-4296-95e6-9c522ac7381d)\n\n**AI Evaluations** to measure you agent’s performance before and after deployment that:\n\n* Allows you to build a dataset of conversation-answer pairs for evaluation.\n* Assess your agent's ability to answer these evaluation pairs.\n\n![uploaded image](/media/?type=post&id=88017&key=user_uploads/1151062/0dec4f67-821f-46b1-af8a-bad3d9896a5a)\n\n**A Semantic Layer** to ensure accurate data retrieval that:\n\n* Maps user terminology to database field names.\n* Facilitates the creation of computed fields and alternative field labels.\n\n**Data Access Control** to restrict your AI agent’s database access that:\n\n* Allows you to turn off access to whole tables or individual columns.\n* Allows you to set if a table can be queried directly or only joined into.\n\n![uploaded image](/media/?type=post&id=88017&key=user_uploads/1151062/1b92ea04-f968-4ecb-b419-9495ae2b328b)\n\n**Multi-tenancy support to** ensure results are scoped to the requestor’s access that is:\n\n* Configurable on a per-request basis.\n* Defined by you based on your existing data structures.\n\n# **Our Solution**\n\n**Inconvo provides a single API call to power genuinely intelligent Ask AI for customer-facing analytics.**\n\n![uploaded image](/media/?type=post&id=88017&key=user_uploads/1151062/50ba0c22-7d2e-4ff4-bd4f-8ff457adb212)\n\nBehind [this API call](https://inconvo.ai/docs/api-reference/ask), Inconvo handles all the hard problems of Ask AI for customer-facing analytics.\n\n[Inconvo connects to your database](https://inconvo.ai/docs/guides/connect/) to automatically retrieve the right data to answer your users’ questions. Then, you’re in charge of presenting the API responses to your users in a way that fits your design.\n\n![uploaded image](/media/?type=post&id=88017&key=user_uploads/1151062/d9f04fae-8c25-4146-b940-f012a65b890c)\n\n**Inconvo is purpose-built to overcome the challenges of Ask-AI for customer-facing analytics**, providing tools that handle multi-tenancy, database access control, [AI evaluation](https://inconvo.ai/docs/guides/evaluate/), and a semantic layer.\n\n# **Our Asks**\n\n**Share** - talk to your friends and colleagues about Inconvo.\n\n**Connect** - ping [eoghan@inconvo.ai](mailto:eoghan@inconvo.ai) if you want to chat more or make an intro.\n\n**Engage** - [book a demo call](https://inconvo.ai/request-demo).", "url": "https://www.ycombinator.com/launches/Mtd-inconvo-ask-ai-for-customer-facing-analytics", "votes": 39, "created_at": "2025-02-25T17:26:15.958Z" } ] }, { "id": 29104, "name": "Shadeform", "slug": "shadeform", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7a846e62f95a076c15722c84a203afd1fccb34a5.png", "website": "https://www.shadeform.ai/", "all_locations": "", "long_description": "Teams struggling with GPU availability use our platform to unlock capacity immediately for their growing AI workloads. Shadeform has a unified, easy-to-use API and platform to access and provision GPUs and deploy models for inference to any provider. With our aggregated availability and pricing data, we can help ensure your on-demand inference and training jobs will run on time at optimal cost.", "one_liner": "The GPU Cloud Marketplace", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1689812081, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/shadeform", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/shadeform.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/shadeformai/", "x_url": "https://twitter.com/shadeformai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/shadeform", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7a846e62f95a076c15722c84a203afd1fccb34a5.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": 1212177, "full_name": "Ed Goode", "title": "Founder", "founder_bio": "CEO @ Shadeform. SWE with experience building distributed systems, compute orchestrators, and NLU & NLP services. Building a single control plane for the GPU market.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ed-goode", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fcb96378f379623f478f11ea6d2f3be3b3c68990.jpg" }, { "user_id": 430762, "full_name": "Ronald Ding", "title": "Founder", "founder_bio": "CTO @ Shadeform. Former engineer and TL at Robinhood, AWS, and Microsoft working on large scale, distributed infrastructure.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ronaldding", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1deaec552b7f744f94d76b79ae296d69016a5577.jpg" } ], "jobs": [ { "id": 74148, "title": "Founding Sales", "url": "https://www.ycombinator.com/companies/shadeform/jobs/ZBDwwU6-founding-sales", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$125K - $300K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 74149, "title": "Founding (Senior) Software Engineer", "url": "https://www.ycombinator.com/companies/shadeform/jobs/2sDkjnk-founding-senior-software-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $190K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 74159, "title": "Chief of Staff & Automation Lead", "url": "https://www.ycombinator.com/companies/shadeform/jobs/u71t9AV-chief-of-staff-automation-lead", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $160K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 73251, "title": "Shadeform: Unifying ML infra across clouds - solving for the GPU shortage", "tagline": "When companies need GPUs, they use Shadeform to access and deploy their workloads to any GPU provider with our unified compute platform and APIs.", "body": "**TLDR:** Teams struggling with GPU availability use Shadeform to **unlock capacity immediately for their growing AI workloads**. Shadeform has a unified, easy-to-use API and platform to access and deploy GPU workloads to any provider. With our aggregated availability and pricing data, we can guarantee inference and training jobs will run on time at optimal cost.\n\n## **The Team**:\n\nWe are Ronald, Ed, and Zach (pictured in order)! We have built and operated critical cloud infrastructure services at AWS and Azure and know the pain of infra management as customers at Robinhood and Capital One. Our goal is to make multi-cloud ML infra simple and easy to use.\n\n![uploaded image](/media/?type=post&id=73251&key=user_uploads/1212177/989a4bdc-3ed1-4937-a76b-9e7f41496b3d)\n\n## **The Problem**: GPU Cloud Availability Shortage\n\n* **Explosion in ML training and inference** demands has resulted in massive GPU shortages; it's difficult and expensive to get GPUs on AWS, GCP, and Azure\n* **Smaller cloud providers are coming online** but have unstable capacity, disparate interfaces, and non-standard OS images preventing companies from adopting at scale\n\n## **The Solution**: Unified Platform for All GPU Providers\n\nShadeform allows you to deploy your inference and training jobs to any cloud provider. We have aggregated all providers, so you can launch your workloads anywhere with our platform and generalized APIs.\\\nWith Shadeform you can:\n\n* Manage GPU instances on every provider with a single control plane\n* Receive notifications, view pricing, and configure auto-reservations when the machines you need are available\n* One click deploy and SSH into machines with any provider\n* Use a unified, simple API\n\n### Deploy Anywhere\n\n![uploaded image](/media/?type=post&id=73251&key=user_uploads/1212177/d4dcc424-a5d6-4583-a5c4-b0d83aa51d71)\n\n### Notify and Auto-Reserve\n\n![uploaded image](/media/?type=post&id=73251&key=user_uploads/1212177/771abd62-79ff-477f-8f69-edd5da8ce8ed)\n\n## **The Goal**: Unify ML Infra Across Clouds\n\nWe are building towards a future where teams are never blocked by their current provider’s GPU capacity and features.\n\n## **The Ask**: Reach out today to access our platform: \n\nWe’d love to integrate you with all GPU providers and provide you access to the machines you need, when you need them! Contact us at [founders@shadeform.ai](mailto:founders@shadeform.ai).", "url": "https://www.ycombinator.com/launches/J3T-shadeform-unifying-ml-infra-across-clouds-solving-for-the-gpu-shortage", "votes": 92, "created_at": "2023-07-20T02:31:18.973Z" } ] }, { "id": 29105, "name": "FlowiseAI", "slug": "flowiseai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/430a7c6b91b2b976c63ca3ebab6cfe4e2a6371d4.png", "website": "https://flowiseai.com", "all_locations": "Remote", "long_description": "Flowise uses low-code approach that enable developers to manage the whole lifecycle of building LLMs apps in production. From protoyping, evaluation, to iterations.", "one_liner": "Open source GenAI development platform", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1688552847, "tags": [ "Developer Tools", "Generative AI", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Back in Feb 2023, we've been building apps using open source frameworks like LangChain, HuggingFace, etc.We wanted a quicker way to build prototype without having to write repetitive code. We also want a better visualization of the whole LLM flow.Hence, the idea of Flowise was born." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Recent advancement of large language models like ChatGPT is revolutionizing every industry. But how do people from less tech-savvy background be able to learn it, and use it for their own use cases?This is why we made Flowise just like LEGO[🧩](https://emojipedia.org/puzzle-piece/). Flowise let you connect different components like PDF loader, OpenAI Embeddings, Pinecone vector database and build your own ChatGPT on your own documents, without any code. You learn at the same time as you build!" } ], "url": "https://www.ycombinator.com/companies/flowiseai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/flowiseai.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/flowiseai", "x_url": "https://twitter.com/FlowiseAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/FlowiseAI", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/430a7c6b91b2b976c63ca3ebab6cfe4e2a6371d4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/710e491e2514993ee7527b8a9fd11894a7721990.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1358352, "full_name": "Henry Heng", "title": "Founder", "founder_bio": "Cofounder of Flowise. Ex-software engineer @FidelityInvestment", "is_active": true, "linkedin_url": "https://linkedin.com/in/zhenjing-heng-henry", "x_url": "https://twitter.com/henryhengzj", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b0ff871bb8ebe5923516f186dd30fa89a1b27661.jpg" }, { "user_id": 1393783, "full_name": "Chung Yau Ong", "title": "Founder", "founder_bio": "Cofounder of Flowise.", "is_active": true, "linkedin_url": "https://linkedin.com/in/chung-yau-ong-1407701a9", "x_url": "https://twitter.com/ChungYauOng", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f43413f8d8df9a38d744580487818074e61ed022.jpg" } ], "jobs": [], "news": [ { "title": "Open100: Top 100 Open Source achievements", "url": "https://www.benchcouncil.org/evaluation/opencs/annual.html#Achievements", "date": "Nov 01, 2023" }, { "title": "Top trending early-stage open-source startups by GitHub star growth in Q3 2023 - Runa Capital", "url": "https://runacap.com/ross-index/q3-23/", "date": "Nov 01, 2023" }, { "title": "GenOs Index - The June Edition: 5 Emerging Trends among Generative AI Open Source Projects - Decibel", "url": "https://www.decibel.vc/articles/genos-index-the-june-edition-5-emerging-trends-among-generative-ai-open-source-projects", "date": "Jun 14, 2023" } ], "launches": [ { "id": 90360, "title": "Flowise 3.0 - Build AI Agents, Visually", "tagline": "Build any agentic system from just an idea", "body": "# Flowise 3.0\n\nhttps://youtu.be/-h4WQuzRHhI\n\nFor the first time, anyone can build AI agents from just an idea. Simply describe what you want to create, and a draft will be generated for you.\n\nFlowise provides modular building blocks for you to build any agentic systems, from simple compositional workflows to autonomous agents. Some common patterns are:\n\n* Chaining\n* Routing\n* Parallelization\n* Hierarchy\n* Looping\n* Iteration\n\n![uploaded image](/media/?type=post&id=90360&key=user_uploads/1358352/68095851-704f-4f14-b1cf-dfcfc56b4009)\n\nEach LLM/Agent has the following augmentations to enable flexible multi agents architecture:\n\n* Memory\n* Retrieval(RAG)\n* Tool\n* Centralized State\n* Structured Output\n\n🙋‍♂️ **Human in the Loop**:\n\nThis is a core aspect of an agentic system, allowing humans to review tasks performed by agents, or to approve/reject tool calls by agents. For example, reviewing actions before sending an email or booking an appointment.\n\n![uploaded image](/media/?type=post&id=90360&key=user_uploads/1358352/a08091a2-93cb-493f-858e-a851bcd3d12d)\n\n📝 **Form Input**:\n\nIn addition to the standard chat interface, workflows can also be triggered through a form-based interface. This is ideal for workflows that don't require back-and-forth communication between the user and agents.\n\n![uploaded image](/media/?type=post&id=90360&key=user_uploads/1358352/bba6f3b4-3d95-4699-bcdc-b6c2485f1fa2)\n\n🔍 **Observability**:\n\nGain full visibility into execution traces to debug issues and optimize performance. You can share traces publicly, allowing others to review, approve, or provide feedback.\n\n![uploaded image](/media/?type=post&id=90360&key=user_uploads/1358352/4e8ed542-c2f8-424c-8ef2-0c60c059199a)\n\n✅ **Flow Validation**:\n\nDesigning complex workflows can be challenging. Flow validation helps minimize misconfigurations and human errors by automatically checking for common issues.\n\n![uploaded image](/media/?type=post&id=90360&key=user_uploads/1358352/80943e44-97d6-4012-ae6e-407bde108b9d)\n\n# Try it out\n\nEverything is open source, give a star on our [Github](https://github.com/FlowiseAI/Flowise) repo ✨\n\n```\n$npm install -g flowise\n$npx flowise start\n```\n\nOr try it out for free on [Flowise Cloud](https://cloud.flowiseai.com) ☁️\n\n![uploaded image](/media/?type=post&id=90360&key=user_uploads/1358352/f366ab3a-a6c9-47ba-807c-bf94d8122e76)\n\nFlowise is used by Fortune 500 companies such as Thermo Fisher, Deloitte, Accenture, AWS, and many others. We are continuously pushing the frontier of generative AI development platform.", "url": "https://www.ycombinator.com/launches/NVQ-flowise-3-0-build-ai-agents-visually", "votes": 18, "created_at": "2025-05-13T18:37:51.183Z" }, { "id": 72776, "title": "Flowise - Low-code LLM apps builder", "tagline": "An open source drag & drop tool to build your customized LLM flow", "body": "### **☕️TL;DR**\n\n[**Flowise**](https://flowiseai.com/) **is an open source drag & drop tool to build your customized LLM flow.**\n\n**We provide a visual interface to let you build backends for LLM apps used for QnA, summarization and analysis on your own data.**\n\n![uploaded image](/media/?type=post&id=72776&key=user_uploads/1358352/f29f7b92-9f41-4257-b293-046eb46d9b84)\n\n👋 This is [Henry](https://www.linkedin.com/in/zhenjing-heng-henry/) and [Yau](https://www.linkedin.com/in/chung-yau-ong-1407701a9/), co-founders of Flowise. We’re on a mission to make it easy for people with no-code background to learn and build AI apps.\n\n### **🤔 Problem**\n\nRecent advancement of large language models like ChatGPT is revolutionizing every industry. But how do people from less tech-savvy background be able to learn it, and use it for their own use cases?\n\n### **✨ Solution**\n\nJust like LEGO[🧩](https://emojipedia.org/puzzle-piece/), Flowise let you connect different components like PDF loader, OpenAI Embeddings, Pinecone vector database and build your own ChatGPT on your own documents. You learn as you build!\n\n### **⚙️ How it works**\n\n**Chatflow**\n\nDrag & drop any component to the canvas and interact with it in real-time.\n\n![uploaded image](/media/?type=post&id=72776&key=user_uploads/1358352/064c1f3e-83c2-489f-a115-b7efdd74289f)\n\n**API/Embed**\n\nUse the flow as an API or embed into your application.\n\n![uploaded image](/media/?type=post&id=72776&key=user_uploads/1358352/4c5d5d78-eedd-48b0-91cf-e0c7fa1bac53)\n\n**Tool**\n\nCreate your own tool and let agent automatically use it. For instance, get stock prices and add it to Airtable/Gsheets.\n\n![uploaded image](/media/?type=post&id=72776&key=user_uploads/1358352/558cf99b-b199-48d9-a0fa-d1500a30ec7d)\n\n**Extensible**\n\nFlowise is built to be extensible. Developers can easily customize their integrations by using libraries/frameworks such as LangChain, LlamaIndex, HuggingFace, etc.\n\n### **🙏Ask**\n\n* Star Flowise [Github](https://github.com/FlowiseAI/Flowise) and let us know what you’d like us to build next\n* Follow us on [Twitter](https://twitter.com/FlowiseAI) to keep up with the latest updates\n* Hop into our 2k+ [Discord](https://discord.com/invite/jbaHfsRVBW) community\n* We want to offer cloud-hosted solution, let us know your [thoughts](https://fmhvbn0ukuf.typeform.com/to/Zn6A7fb4)!\n\n[🚩](https://emojipedia.org/triangular-flag/) We just crossed **10k** stars on Github!\n\n![uploaded image](/media/?type=post&id=72776&key=user_uploads/1358352/7719ac4f-6699-4cdf-8d52-9ff7c63a596d)\n\n", "url": "https://www.ycombinator.com/launches/Ivo-flowise-low-code-llm-apps-builder", "votes": 70, "created_at": "2023-07-05T16:02:36.118Z" } ] }, { "id": 29106, "name": "Affinity", "slug": "affinity", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/883b7bc8ea92895dbca7a59f5ad014c489f3729a.png", "website": "https://itsaffinity.com", "all_locations": "New York City, NY, USA; Remote", "long_description": "Affinity is a compliance training platform designed specifically for regulated industries. We’ve previously built a fintech from inception to a successful exit and are leveraging that experience to solve the learning management needs of regulated tech companies from growth stage to large enterprise banks.\r\n", "one_liner": "A compliance training platform built for regulated industries.", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1689270808, "tags": [ "Fintech", "Workflow Automation", "Team Collaboration", "Compliance", "HR Tech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/affinity", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/affinity.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/affinity-training", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/883b7bc8ea92895dbca7a59f5ad014c489f3729a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1371162, "full_name": "Faraz Rana", "title": "Founder", "founder_bio": "Faraz has over 15 of experience as a start-up operator and a legal and compliance professional. Faraz was part of the founding employee team at Bread, a BNPL fintech, where helped build the company from inception to a $450M exit. Previous to Bread, Faraz had been an M&A lawyer, dabbling with start-up ideas in his spare time. \n\nFaraz is based in Brooklyn, NY and enjoys running and playing tennis. \n\n\n\n\n\n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/faraz-rana-502874a", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fbe9002d693006cda05cf2a4850fc70aa870fd76.jpg" }, { "user_id": 599372, "full_name": "Peter Greczner", "title": "Founder", "founder_bio": "Peter is CTO of Affinity. He's been building and working with NYC start-ups for almost 15 years, including companies in AdTech, FinTech, and Crypto. As a founding team member of Bread, a pay-over-time FinTech, he led and built the engineering team to a successful $500M exit. In addition to having fun building startup's, Peter also loves to play basketball, run, try new board games and play outside with his 2 kids.", "is_active": true, "linkedin_url": "https://linkedin.com/in/peter-greczner-0067086", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4368510ff32f5960f622d60e144b4699b4114834.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73139, "title": "Affinity - The compliance training platform built for regulated industries", "tagline": "Seamlessly manage your organizations trainings and compliance needs in one integrated platform.", "body": "Hi 👋 , we’re Faraz and Peter and we’re building Affinity!\n\nAffinity is a compliance training platform designed specifically for regulated industries. We’ve previously built Bread - a fintech - from inception to a $450M exit and are leveraging that experience to solve the learning management needs of regulated tech companies from growth stage to large enterprise banks.\n\n### **Problem and Current Market**\n\nWhile scaling Bread, we learned how necessary training is in the fintech industry for all stakeholders both internal (your employees) and external (your vendors and clients), and how glaringly inefficient the process is.\n\nFor example:\n\n* Fintech bank sponsors lack standardized training across portfolio companies;\n* Fintechs themselves train thousands of their business customers using valuable human hours;\n* Compliance and HR teams use sign up sheets and spreadsheets to track internal trainings;\n* Ineffective trainings create bigger problems later on when companies are just starting to scale.\n\nAnd it’s not just fintechs who face these problems, **it’s all regulated industries**.\n\n### **How Affinity Solves This**\n\nWe’ve built:\n\n1. A platform that allows organizations, such as banks, to standardize training across external parties.\n\n ![uploaded image](/media/?type=post&id=73139&key=user_uploads/599372/84a4ee60-ef53-4c9d-be35-655588e56f42)\n\n2. A workflow management tool that allow companies to assign trainings based on internal policy rules.\n\n ![uploaded image](/media/?type=post&id=73139&key=user_uploads/599372/1794b23f-a480-4ce3-a239-5797646ab28b)\n\n3. Relevant, practical content and ways to customize the content.\n\n ![uploaded image](/media/?type=post&id=73139&key=user_uploads/599372/df94140a-c1db-4654-adac-488c98aa1ed3)\n\n4. Data for reporting to regulators and auditors.\n\n ![uploaded image](/media/?type=post&id=73139&key=user_uploads/599372/b751d335-f134-45fa-9201-7f14c9641c6c)\n\n\n_In short: we help regulated companies make compliance training seamless and powerful._\n\n### **The Future (to Affinity and beyond!)**\n\n* A dynamic content creation platform built in.\n* Leveraging AI and LLM’s for interactive learning experiences.\n* The best and most useful trainings available in every vertical and industry.\n\n### **The Team**\n\n![uploaded image](/media/?type=post&id=73139&key=user_uploads/599372/093dbfde-47dd-45bf-bce1-7642471e7eb1)\n\nWe have known each other for almost a decade and spent much of that time building out a buy-now, pay-later fintech together called Bread ($450M exit). Faraz led legal and compliance, and Peter led engineering. Through Bread’s growth we’ve learned how important compliance education is for teams to be effective in a regulated space.\n\n### **Asks from the community**\n\n* Introductions to Fintechs and tangential regulated companies (all sizes)\n* Introductions to Banks\n* Introductions to Compliance and HR teams\n* Tell us what you’re not getting from your current learning management systems\n\n### **How can your company use Affinity today?**\n\nWe’re live for fintechs today at: . We are also offering a discount to all YC companies for their first year, and while you can onboard yourself, we’d love to walk you through getting started. So, please reach out to us at [founders@itsaffinity.com](mailto:founders@itsaffinity.com) and we can start working together with your team!", "url": "https://www.ycombinator.com/launches/J1f-affinity-the-compliance-training-platform-built-for-regulated-industries", "votes": 41, "created_at": "2023-07-17T16:58:49.486Z" } ] }, { "id": 29107, "name": "Saatvy", "slug": "saatvy", "former_names": [ "SaefOps", "Sero AI", "Saatvy (by Sero AI)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/387c4373e4c5c331d3e08166ebdbb72d71cdf8f5.png", "website": "https://saatvy.com", "all_locations": "San Francisco, CA, USA", "long_description": "Saatvy is a transparent, personalized and natural wellness platform to manage chronic conditions such as gut/sleep disorder, diabetes, arthritis, and postpartum thyroiditis. We do this by personalizing the health plans which are created by experienced and authentic Ayurveda practitioners.\r\n\r\nSeveral people in the USA have trusted us with their natural wellness journeys. The biggest benefit our customers find in the first consultation is understanding the root causes of their health issues, where traditional medicine often falls short. Our Ayurvedic practitioners have decades of experience, with some serving on Ayurveda boards in the USA.", "one_liner": "Root cause help for chronic conditions", "team_size": 1, "industry": "Healthcare", "subindustry": "Healthcare -> Consumer Health and Wellness", "launched_at": 1687725846, "tags": [ "Consumer Health Services", "Health & Wellness", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "Healthcare", "Consumer Health and Wellness" ], "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/saatvy", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/saatvy.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/saatvy/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/387c4373e4c5c331d3e08166ebdbb72d71cdf8f5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1263379, "full_name": "Ankur Rustagi", "title": "Founder", "founder_bio": "Engineering and people leader with over a decade of experience in applying machine learning to enhance products and ensure user safety. He has led teams at Facebook and Roblox, tackling issues like child endangerment and hate speech. Motivated by this experience, Ankur founded Sero AI to assist other companies in effectively addressing similar trust and safety challenges.\n ", "is_active": false, "linkedin_url": "https://linkedin.com/in/anrustagi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/751b4556ef2d9881cd3bf27bb2e80d58d9ce1ee9.jpg" }, { "user_id": 1443296, "full_name": "Talha Baig", "title": "Founder", "founder_bio": "Co-founder and COO of Sero AI. At Meta, Talha was an ML Engineer that focused on reducing human, drugs and weapons trafficking. He also co-founded and produces THE Trust and Safety Podcast - Trust in Tech and is a Visiting Fellow for the Integrity Institute - a think tank focused on protecting the social internet.", "is_active": false, "linkedin_url": "https://linkedin.com/in/talha-baig", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8691078e561c77d56d9a9a159c8b6270e2d8e4df.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 72896, "title": "Sero AI - help humans keep humans safe online", "tagline": "We help maximize the efficiency and precision of Trust and Safety moderation.", "body": "**tl;dr:** [Sero AI](https://www.getsero.ai) streamlines the management of safety workflows, such as abuse reports, content moderation, user appeals, and more. It's a workflow manager, augmented with an AI-copilot, designed to elevate the efficiency and precision of human moderators.\n\n![uploaded image](/media/?type=post&id=72896&key=user_uploads/1263379/2a698855-bd77-41ae-9bf8-4f1ab964ffc3)\n\nHi everyone, we are Talha and Ankur (left to right), and we are building Sero AI. Our mission is to empower platforms to keep their users safe. \n\n\\\nWe led safety machine learning teams at Meta and Roblox where we deployed hundreds of AI models to safeguard our users from threats like human trafficking and child endangerment. In this process, we learned the often overlooked yet critical importance of human moderation accuracy for enhancing machine learning enforcement. Inspired by this understanding, we founded Sero AI with the goal to support other companies navigating similar Trust and Safety challenges.\n\n### **🧨 The Problem**\n\nPlatforms hosting user-generated content establish community guidelines and employ a substantial workforce of human moderators. Their role is crucial in enforcing these policies, particularly high risk policies such as child endangerment, hate speech, and harassment. At a large scale, Trust and Safety operations managers face challenges in ensuring moderator quality and consistency. Thus platforms either build in-house bespoke solutions or use non-opinionated tools such as  Zendesk, which leads to high costs, user frustrations, and safety risks. This costs tens of millions of dollars, over-enforces account bans, and causes real life harm.\n\n### **✨ Our Solution**\n\nWe provide an end to end solution for T&S operations management and moderation. Sero AI is the fastest way to set up tailored safety workflows and customize review user interfaces, augmented by a self learning AI-copilot to assist human moderators.\n\n* Easily setup moderation workflows:create tailored moderation workflows such as tiered child safety reviews or a user appeals queue. All in a few clicks.\n* Customize moderation UI: Build custom views with all relevant information in one place. No more jumping across several screens to review a single user.\n* Moderate with AI co-pilot: Accelerate reviews of users, audios, and videos by highlighting harmful sections.\n\nAs Salesforce manages customer relations, Sero AI streamlines Trust and Safety operations.\n\n### **🙏 Our Asks**\n\nIntroduce us to your Trust and Safety friends.\n\n\\* introduction blurb: Former Meta and Roblox team members are building Sero AI - an end to end T&S platform simplifying human moderation workflows. Check out their [website](http://www.getsero.ai) and reach out at [founders@getsero.ai](mailto:founders@getsero.ai) for more.", "url": "https://www.ycombinator.com/launches/Ixk-sero-ai-help-humans-keep-humans-safe-online", "votes": 27, "created_at": "2023-07-10T14:46:48.607Z" } ] }, { "id": 29108, "name": "Giga", "slug": "giga", "former_names": [ "Giga", "Giga ML" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb8d37a891f8bcff52ba067cc273aab648732435.png", "website": "https://giga.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "AI Support Agent for Enterprises.", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1689858919, "tags": [ "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/giga", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/giga.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/giga-ai", "x_url": "https://twitter.com/gigaml", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb8d37a891f8bcff52ba067cc273aab648732435.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/db29dd990cd315870626f2d00a5b3ab4a0314a83.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1381270, "full_name": "Esha Dinne", "title": "Founder", "founder_bio": "Hi, I'm Esha, I am currently CTO of Giga ML and an IIT Kharagpur CS'23 grad, where I ranked 3rd institute-wide. Before Giga ML, I was a systems engineer intern at Quadeye Securities and led the Math Club at IIT. Off work, I watch anime and read novels.\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/esha-manideep-ba112a218", "x_url": "https://twitter.com/eshamanideep", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7a266232fda36f51f279943fe4fcaab81729b7e5.jpg" } ], "jobs": [ { "id": 76266, "title": "Senior Technical Recruiter", "url": "https://www.ycombinator.com/companies/giga/jobs/LyWOqTx-senior-technical-recruiter", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiting lead", "salary_range": "$150K - $220K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 80630, "title": "Software Engineer I / II - San Francisco", "url": "https://www.ycombinator.com/companies/giga/jobs/GAVxgkS-software-engineer-i-ii-san-francisco", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 88394, "title": "Staff Backend Engineer", "url": "https://www.ycombinator.com/companies/giga/jobs/q2UE9JO-staff-backend-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$180K - $500K", "equity_range": "", "experience": "6+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Django", "Kubernetes", "Python" ] }, { "id": 90083, "title": "Head of Product Marketing/Founding Growth Marketing", "url": "https://www.ycombinator.com/companies/giga/jobs/6TVJ2wZ-head-of-product-marketing-founding-growth-marketing", "location": "San Francisco", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$150K - $325K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 91597, "title": "HR Generalist / People Operations", "url": "https://www.ycombinator.com/companies/giga/jobs/enhDXgk-hr-generalist-people-operations", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $185K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Giga: The AI Platform for Enterprise Support", "url": "https://www.youtube.com/watch?v=KmdN6OQ_PwE", "date": "Nov 06, 2025" }, { "title": "Giga raises $61 million to expand enterprise voice AI, starting with DoorDash | Fortune", "url": "https://fortune.com/2025/11/05/voice-ai-giga-raise-61-million-customer-service-series-a", "date": "Nov 05, 2025" }, { "title": "GigaML Raises $3.6M To Help Enterprises Build LLMs As Powerful As GPT4 | Entrepreneur", "url": "https://www.entrepreneur.com/en-in/news-and-trends/gigaml-raises-36m-to-help-enterprises-build-llms-as/464095", "date": "Oct 23, 2023" } ], "launches": [ { "id": 74294, "title": "Giga ML's X1 Large 32k - The most powerful on-prem deployable model", "tagline": "Customized LLMs for Industry-specific needs. On-premise & secure.", "body": "We are announcing our first lineup of on-premise LLMs, X1 Large 8k, 32k — pre-trained and fine-tuned versions of llama2 70B, which are outperforming Claude 2 on the MT bench with a score of 8.1 vs 8. (White paper coming soon with performance on all the benchmarks.)\\\n\\\nX1 Large is available for further fine-tuning and pre-training. Try it out [here](https://chat.gigaml.com/) and let us know what you think!\n\n![uploaded image](/media/?type=post&id=74294&key=user_uploads/1381270/388aa2d4-9000-4e2a-97fe-5720c057c9b3)\n\n**The problems today:**\n\n1. **Pre-training:** Existing large language models (LLMs) lack the ability to pre-train on specific text data, hindering their effectiveness in specialized domains like healthcare, legal, and finance.\n2. **Fine-tuning:** The inability to fine-tune LLMs for specific output structures or forms restricts their adaptability in critical areas requiring tailored responses.\n3. **Privacy:** Organizations dealing with sensitive customer data face trust & compliance challenges when using third-party servers like OpenAI and Anthropic.\n\n**X1 Large:**\n\n* **Performance:** Achieves an MT bench score of 8.1, surpassing Claude 2 after fine-tuning and pre-training.\n* **Customization:** Our unique pre-training and fine-tuning capabilities provide unrivaled performance for industry-specific use cases.\n* **Security:** Offers secure on-premise deployment, ensuring data privacy for enterprises.\n* **State of the art RAG:** We’re partnering with [@Mano AI](https://usemano.com) to bring state of art RAG for on-prem deployment on your petabytes of data.\n\n**Our ask:**\n\nTry out out the demo [here](https://chat.gigaml.com/) with your prompt and let us know how it performed! Email us at [founders@gigaml.com](mailto:founders@gigaml.com) if you want fine-tuning and pre-training access in-cloud or on-premise.\n\n**_Coming soon:_**\n\nX1 Large Med: Continuing pre training on Medical data.\n\nX1 Large Law: Continuing pre training on entire law data base of all the countries.", "url": "https://www.ycombinator.com/launches/JKI-giga-ml-s-x1-large-32k-the-most-powerful-on-prem-deployable-model", "votes": 15, "created_at": "2023-08-22T01:51:37.233Z" }, { "id": 73286, "title": "Giga ML: Secure on-premise LLMs for enterprises", "tagline": "We supercharge open-source LLMs to outperform GPT-4 for your use case.", "body": "**TL;DR🔖:** Giga ML is a platform to fine-tune and deploy open-source Large Language Models (LLMs) with features such as high-speed inference, secure on-premise deployment, and OpenAI API compatibility. Our platform provides a 70% cost reduction compared to GPT-4 API, 300% faster output delivery, and fine-tuning expertise garnered from 300+ experiments. We're inviting you to compare our fine-tuned model, X1 Chat, with Chat GPT at [**gigaml.co**](http://gigaml.co) and discover the benefits of custom fine-tuned models. Below is a screenshot of a very basic comparison:\n\n![uploaded image](/media/?type=post&id=73286&key=user_uploads/578920/25fd4cab-2c63-4130-8729-003e5110657c)\n\nHi there, we're [**@Esha Manideep Dinne**](https://www.linkedin.com/in/esha-manideep-ba112a218/) and [**@Varun Vummadi**](https://www.linkedin.com/in/varunvummadi/), co-founders of Giga ML! Today, we're excited to introduce our fine-tuning and deployment platform designed specifically for open-source Large Language Models (LLMs).\n\n**The Problem:🔍**\n\nDeploying and experimenting with open-source LLMs, such as the MPT and Llama models, is fraught with challenges. From the difficulty of fine-tuning for optimal performance to navigating intricate hyper parameters, the process is far from straightforward. On top of these technical hurdles, there's also the issue of privacy: data being processed on external servers like OpenAI's can lead to customers slipping through your fingers.\n\n**The Need:💡**\n\nCompanies require a robust and efficient way to fine-tune and deploy their models without compromising on speed, cost, or privacy. They also need to be able to support varying context lengths depending on their use case. Plus, in light of Ben Fishman's recent tech talk where he revealed that fine-tuned models perform better than GPT-4 for some companies, there's a clear demand for effective fine-tuning solutions.\n\n**The Solution:🚀**\n\nEnter Giga ML - the platform designed to take the stress out of fine-tuning and deploying LLMs. We've run over 300 experiments to perfect our process, and here's how we're tackling these issues:\n\n1️⃣ **Fine-tuning**: We've cracked the code to efficient model fine-tuning and are ready to share our expertise with you!\n\n2️⃣ **High-Speed Inference**: Experience faster responses with our solutions that deliver output tokens 300% faster than the GPT-4 API.\n\n3️⃣ **Privacy**: We offer secure on-prem deployments so your fine-tuned data can be processed on-premise, maintaining your clients' trust.\n\n4️⃣ **Cost Savings💰**: Spend 70% less compared to using the GPT-4 API with an 8k prompt. We support 4k, 8k, and 16k context lengths depending on your use case.\n\n5️⃣ **OpenAI API Compatibility**: No need to rewrite your code, our API integrates seamlessly with OpenAI's.\n\n**Our Request:🙏**\n\nWe're asking you to give Giga ML a try. Compare the performance of Chat GPT with our fine-tuned model, X1-Chat, at \\[[**gigaml.co**](http://gigaml.co)\\]. If you're struggling with the cost or privacy issues of GPT-4 or facing challenges with large prompts, we might just be the solution you're looking for! Please Fill this form for access [Google form](https://forms.gle/EnH3V9Z4JDfZuJQt5) \\\n\\\n**The Team:** 🤝\n\n[**@Esha Manideep**](https://www.linkedin.com/in/esha-manideep-ba112a218/) and I met each other in freshman year at IIT Kharagpur, and we just graduated college. I left my PhD offer at Stanford in CS and Esha left his job as a Systems Engineer at a High Frequency Trading Firm to work on Giga.\n\nLooking forward to serving your AI needs,\n\nEsha and Varun", "url": "https://www.ycombinator.com/launches/J42-giga-ml-secure-on-premise-llms-for-enterprises", "votes": 38, "created_at": "2023-07-21T15:08:18.913Z" } ] }, { "id": 29110, "name": "AiSDR", "slug": "aisdr", "former_names": [ "AI SDR" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c4ee33b19412517e139da731ca8d250eae8eee8.png", "website": "https://aisdr.com/", "all_locations": "San Francisco, CA, USA", "long_description": "AiSDR builds Ami, an AI sales agent that helps B2B companies find customers and book meetings.\r\n\r\nGive Ami your website. It researches your business, recommends who to target and why now, and builds an outreach plan. Once you approve, it runs personalized campaigns across email and LinkedIn, follows up, handles replies, and books meetings.\r\n\r\nAmi keeps working after launch. It monitors results, spots problems with targeting or messaging, and recommends changes or applies them within the rules you set. It remembers your decisions and campaign results, so each campaign builds on the last.\r\n\r\nBuilt on lessons from 17,000+ real AiSDR campaigns, Ami gives founders and small teams sales strategy and execution in one place, without having to manage every step themselves.", "one_liner": "AI that finds the right buyers and books sales meetings", "team_size": 34, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1685885661, "tags": [ "SaaS", "B2B", "Sales", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Sales" ], "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/aisdr", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/aisdr.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/aisdrapp/", "x_url": "https://x.com/runAISDR", "fb_url": "https://www.facebook.com/aisdrapp", "cb_url": "https://www.crunchbase.com/organization/aisdr", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c4ee33b19412517e139da731ca8d250eae8eee8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8eb452f53a4fc3d4d0353ec4197b8153accff844.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 208580, "full_name": "Yuriy Zaremba", "title": "Founder/CEO", "founder_bio": "2x YC alumni, 1 exit (AXDRAFT acquired by Onit Inc.).\n\nGrew AXDRAFT from $0 to $2M through founder-led sales, managed a $10M ARR business line for the acquiring company.\n\nSkilled crisis management: navigated company through war in Ukraine with uninterrupted business continuity and high ARR growth.\n\nStarted AiSDR in 2023 to automate sales prospecting with generative AI.", "is_active": true, "linkedin_url": "https://linkedin.com/in/yuriy-zaremba", "x_url": "https://twitter.com/YuriyZaremba", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/810f10a93d56372b391fad4f9e7a225659d4226c.jpg" }, { "user_id": 217579, "full_name": "Oleg Zaremba", "title": "Founder", "founder_bio": "2x YC alumni, 1 exit (AXDRAFT acquired by Onit Inc.). \n\nLed the engineering, product and QA teams that built AXDRAFT. Post-acquisition led the cross-product integrations and AI initiatives (3 generative AI products and 1 ML product). \n\nAchieved and maintained security standard (SOC 2 Type 2) for AXDRAFT 3 years in a row including during war times in Ukraine.\n\nStarted AiSDR in 2023 with my brother Yuriy to automate sales prospecting with generative AI.", "is_active": true, "linkedin_url": "https://linkedin.com/in/oleg-zaremba", "x_url": "https://twitter.com/olzare", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9b7e3cb09fde63a25928ed629a1776f59f60315b.jpg" } ], "jobs": [], "news": [ { "title": "EXCLUSIVE: Ukrainian-founded startup AiSDR ropes in €2.7M to develop an AI-powered tool designed to replace human SDRs | Silicon Canals", "url": "https://siliconcanals.com/news/startups/ukrainian-founded-aisdr-gets-2-7m/", "date": "Nov 28, 2023" } ], "launches": [ { "id": 114134, "title": "Ami by AiSDR: AI GTM agent that builds your full outbound motion", "tagline": "Trained on 3 years of data across 27 industries, 17k+ campaigns and 20k+ booked meetings", "body": "Hey YC 👋\n\nYuriy here - founder of AiSDR (YC S23). This is my second YC company. The first (AXDRAFT – YC W19) was acquired by Onit in 2020.\n\nToday we’re launching **Ami**, an AI GTM agent that already knows what good outbound looks like. Ami builds your campaign, and runs it across email and LinkedIn until a meeting’s booked.\n\nWhat makes it different is what happens next. Ami remembers every campaign it’s run for you, spots what isn’t working, fixes it on your say-so, and tells you what to run next.\n\n## TL;DR\n\n* Point Ami at your website and it builds your campaign in 20 minutes against what’s worked across 17,150+ campaigns across 27 industry-specific playbooks. \n* Every decision is driven by data, and Ami pushes back when it thinks your direction is off.\n* Targeting is pain-based. Ami looks for evidence that someone has your problem right now, and validates the timing before sending a message.\n* Ami remembers everything it’s run for you, so Month 3 is better than Month 1.\n* Self-serve for $250/month. No demo required to start.\n* **Try it at** \n\n[Launch video](https://www.youtube.com/watch?v=Z--7OETsjrs)\n\n## The Problem\n\nAI outbound got very good at scaling noise. But it struggled at making sales judgments.\n\nAlmost every AI SDR, ours included, assumed the human would bring the strategy, define the ICP, create the angle, and hit approve. The AI would take it from there and do it all faster than any human.\n\nThis works if you already know what a good campaign looks like. A lot of people buying these tools don’t:\n\n* First-time founders running founder-led sales\n* First sales hires\n* 2-person GTM teams\n\nWorking out which of 42+ possible audiences is worth spending time on and deciding what to say is a skill built over years. \n\nSo we handed that decision back to buyers and called it control. So did everyone else.\n\nWhat came out the other end is thousands of messages and full dashboards, but zero pipeline.\n\nThe missing piece was never speed. It was judgment. And no one had automated it.\n\n## Our Solution – Ami AI\n\nFor 3 years, we built execution: research, writing, sequencing, deliverability, reply handling. And the thing customers kept telling us was still hard was the part we hadn't automated – deciding what campaign to run in the first place, and when to stop and pivot to something else.\n\nThe number that settled it was 80% of our customers were using our campaign generator instead of building campaigns by hand, even though building gave them far more control. \n\nPeople wanted a decision rather than controls.\n\nSo we took what we learned from over 17,150 campaigns run on the platform in the past 3 years, and built the agent that does it. \n\nThat's Ami.\n\n![uploaded image](/media/?type=post&id=114134&key=user_uploads/208580/7df84866-6f8f-476e-8d12-7e12ad99005d)\n\n### Where Ami’s judgment comes from\n\nIn a nutshell, 3 years of running outbound as a company that sells outbound. As of September 2026, this means (adding daily):\n\nCampaigns run - 17,150\n\nEmails sent - 2,546,096\n\nMeetings booked - 19,501\n\nCustomers served - 1,150\n\nIndustries served - 27\n\nEvery one of those campaigns taught Ami something about what lands, in which industry, at what moment. That's the part you can't buy off the shelf, and that’s why this took three years.\n\n**1. Ami builds your campaign from your website, CRM, and industry best practices, against everything we’ve learned:** Give Ami your URL and it reads your site, and share access to your CRM. Ami then runs what it found against your industry and the 17K+ campaigns we’ve done over 3 years, and comes back with the angles and audiences you need. You can argue with Ami: narrow the ICP, push a different angle, or ask why it picked what it did.\n\n![uploaded image](/media/?type=post&id=114134&key=user_uploads/208580/c36e16a8-d236-41be-bb97-8f133a06f758)\n\n**2. Ami targets pains:** Most tools match a profile and hope the timing is right. Ami looks for evidence someone has the problem you solve. There's no fixed database. Describe who you want and Ami finds them, with data verified at the time of the search.\n\n![uploaded image](/media/?type=post&id=114134&key=user_uploads/208580/59022bd3-8755-4def-9ecb-2c47fac6b9ab)\n\n**3. Ami remembers, and it gets better at your sales motions**: This is where Ami’s value compounds. Ami keeps every campaign it’s run for you: angles that landed, segments that went quiet, objections that kept coming up, and things you tried. It tells you what’s breaking and why when performance drops, and it makes fixes once you give the green light. Month 3 is better than Month 1 because Ami has 3 months of your outbound in its head. \n\n![uploaded image](/media/?type=post&id=114134&key=user_uploads/208580/031002d5-65f8-4470-91c3-97fc2a0caae7)\n\nAn AI that learns your business and doesn’t need babysitting is what this category’s promised since Day 1 (ours included). It took 3 years, 17K campaigns, and 2.5M emails before we had enough to build it..\n\nYou don’t have to be good at outbound to win with Ami.\n\nThat’s the whole point.\n\n![uploaded image](/media/?type=post&id=114134&key=user_uploads/208580/f47e2f0d-2f4b-4255-b482-98cecdc06982)\n\n### **What it produces**\n\nMedians across our customer case studies:\n\nConnection acceptance (LinkedIn) - 32.42%\n\nResponse rate (email) - 4.92%\n\nPositive response rate (email) - 1.02%\n\nPositive response rate (LinkedIn) - 3.4%\n\nMeeting booked rate - 0.54%\n\nMeetings per 1,000 leads - 6–10\n\n## The team\n\n**Yuriy Zaremba (CEO)**: 2x YC founder. 8+ years in B2B sales. Previously co-founder and CEO of AXDRAFT (W19, acquired by Onit in 2020).\n\nAiSDR’s team of 35 works across the United States, Ukraine, and Poland. 200+ customers. 4.6/5 on G2 across 101 reviews. SOC 2 certified.\n\n## Our ask\n\n* **Try it at** . Solo plan is $250 per month, self-serve, with no demo required. YC companies get 50% discount.\n* **Share the signup link**. Send it to someone who might find it useful since signup is free.\n* **Follow us on LinkedIn.** Share our launch posts.\n* **Tell us what broke for you**. If you’re doing founder-led sales and you bounced off an AI outbound tool, we want to hear where it failed: targeting, messaging, execution. Conversations like this are what built Ami.\n* **Intros**. B2B SaaS founders at 10-200 person companies that want to try AI outreach.", "url": "https://www.ycombinator.com/launches/Tgs-ami-by-aisdr-ai-gtm-agent-that-builds-your-full-outbound-motion", "votes": 203, "created_at": "2026-09-09T13:36:03.590Z" }, { "id": 74643, "title": "AiSDR - AI that sells", "tagline": "Meet AiSDR, software that reaches out and books meetings with prospects for you on auto-pilot", "body": "## tl;dr\n\n**AiSDR automates sales prospecting.** Our software uses generative AI to write and send sales emails to prospective customers. Once a prospect engages, AiSDR automatically corresponds with the prospect with the goal of getting a meeting booked. In just 2 months, AiSDR already has 24 customers. The response rate of our sales emails is on par with the industry’s rate for emails written by humans. This is our second time as YC founders after we sold our first company AXDRAFT (W19) to Onit Inc.\n\nIf you want to learn more - [book a demo with us](https://calendly.com/aisdr-intro/demo).\n\n## Problem\n\nDo you want to scale your SDR team without growing your headcount or significantly raising your operating costs? AiSDR will make it easier for your business to stay lean and mean. \n\nIf you’re faced with any of these challenges, AiSDR is the SDR for you:\n\n* Inbound/outbound leads are lost because you can’t answer in <10 minutes\n* You run 1-3 generic email campaigns that don’t convert because you don’t have the time to create personalized campaigns\n* You’re uncomfortable with sending follow-ups because they seem “salesy” or “spammy”\n* You want to scale your email outreach but you don’t have the budget to confidently hire an SDR\n\n![uploaded image](/media/?type=post&id=74643&key=user_uploads/208580/06a07780-7d1c-4c5e-8daf-a0db770f621d)\n\n## Solution\n\n**For a fraction of the cost of a full-time, in-house SDR,** AiSDR will use your leads and personas to (a) create personalized email campaigns for each lead, (b) send personalized follow-ups to leads, and (c) correspond and drive leads to book a meeting with you. \n\nThis will help you scale your outreach without increasing headcount while giving you the freedom to experiment with campaigns before hiring your first full-time SDR.\n\nLong story short, AiSDR is the AI SDR that will grow your pipeline, optimize SDR costs, and give you the freedom to reinvest revenue into growing your business.\n\n## How it works\n\nAiSDR leverages generative AI to create personalized email campaigns at scale using lead data and sales personas. Since AiSDR never needs to sleep, it will respond to and follow up with engaged leads in less than 10 minutes, ensuring that **prospective clients never fall through the cracks** due to lack of time.\n\nAiSDR will also help with developing and fine-tuning personas, cleaning leads, and warming up inboxes so that emails don’t land in spam.\n\n![uploaded image](/media/?type=post&id=74643&key=user_uploads/208580/913f200a-2543-4ab6-8795-ea210803c40c)\n\n## The team\n\nThis is our second time in YC. After our first time taking part (W19), we successfully sold our company AXDRAFT to Onit. Now with 6+ years of founder-led sales under our belt, we’re keen on solving many of the pains and challenges founders experience in sales. Before AXDRAFT, Oleg was a senior software engineer at [Booking.com](http://Booking.com).\n\n![uploaded image](/media/?type=post&id=74643&key=user_uploads/208580/25b698d1-e20d-4461-acd1-84b74bd1e6c8)\n\n## Our quick asks\n\n* [Book a demo](https://calendly.com/aisdr-intro/demo) with us if you want to learn more about AiSDR and use it to scale your outbound outreach or improve your inbound conversion rates.\n* Follow us on [LinkedIn](https://www.linkedin.com/company/aisdrapp/), [Twitter](https://twitter.com/getaisdr), or [Facebook](https://www.facebook.com/aisdrapp). Our inboxes are always open.\n* Refer us to anyone you know who’s on the lookout for a budget-friendly solution to scale their SDR teams.", "url": "https://www.ycombinator.com/launches/JPv-aisdr-ai-that-sells", "votes": 373, "created_at": "2023-09-07T13:59:11.065Z" } ] }, { "id": 29112, "name": "Foundation", "slug": "foundation-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9dd20033ab143f980f73115add9045604e7e9b6b.png", "website": "https://buildwithfoundation.com/", "all_locations": "Boulder, CO, USA; Remote", "long_description": "Foundation is the buyer experience platform for homebuilders. By bringing the new home shopping, purchase, and ownership experience online, Foundation helps homebuilders sell more homes, more profitably, to happier customers.", "one_liner": "Shopify for Homebuilders", "team_size": 4, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Housing and Real Estate", "launched_at": 1693591286, "tags": [ "SaaS", "Real Estate", "B2B", "Proptech", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Real Estate and Construction", "Housing and Real Estate" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Our founding team met while working at Opendoor. Two of us (Derek &Luke) worked together on the partnerships team, which grew to become a major driver of customer acquisition at Opendoor, while Graham was one of the first people on the original version of Opendoor Mortgage. The Homebuilder business was Opendoor’s first partner channel AND first billion-dollar partner channel. As these builders got to know Opendoor, they’d get to know our products — and started wrapping their heads around how modern digital products could help them transform their businesses. We started Foundation to meet this growing demand." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "The core problem we’re solving is that today, most of the consumer experience in homebuilding is still offline. Our buyer experience platform brings homebuilders online to help them sell more homes, at higher margins, to happier home buyers. One way to think about this is to ask a question: why do you have a better app for tracking your pizza delivery than you do for the biggest purchase of your life? Almost nobody in Silicon Valley understands homebuilding in the U.S. Just the Top 300 U.S. homebuilders — what some folks call “production builders” — build and sell >$250 BILLION (with a B) worth of homes a year, and spend $10B+ on technology, customer acquisition, and commissions. These builders don’t build homes on Sand Hill Road. But once you get outside of the Silicon Valley bubble, you learn how important homebuilding is in the U.S. Yes, it’s economically important — this is a massive corner of the American economy — but homebuilding also has huge cultural significance. Go talk to someone from Texas, or Florida, or a normal midwestern city: either they’ve thought about buying a new construction home, or their friends & family have, or they know someone who works in homebuilding." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "The U.S. is underbuilt by anywhere from 2M-6M+ homes. By helping bring homebuilding online, we help builders run better businesses — and do our small part to help get more homes built for American families. Beyond the new construction industry, we believe more broadly that the entire economy is still coming online. Parts of residential real estate have resisted this, but it’s happening. Foundation has the opportunity to become the platform for homeownership — not another search portal, but an actual digitally-native checkout and ownership experience." } ], "url": "https://www.ycombinator.com/companies/foundation-2", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/foundation-2.json", "year_founded": 2023, "city": "Boulder", "country": "US", "linkedin_url": "https://www.linkedin.com/company/foundation-tech/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9dd20033ab143f980f73115add9045604e7e9b6b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 17250, "full_name": "Luke Groesbeck", "title": "Founder", "founder_bio": "Luke is the cofounder of Foundation, the buyer experience platform for homebuilders. Prior to foundation, Luke has spent 15+ helping start & scale ventured-backed startups as a founder, PM, and product exec.", "is_active": true, "linkedin_url": "https://linkedin.com/in/lukegroesbeck", "x_url": "https://twitter.com/newgroesbeck", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/02b5ad3bdba5368a335d4705c26ea6f51ba0e4a5.jpg" }, { "user_id": 1514484, "full_name": "Derek Schairer", "title": "Founder", "founder_bio": "Derek is the co-founder of Foundation, the buyer experience platform for homebuilders. Prior to Foundation, he was the former GM of Opendoor’s homebuilder business, which he turned into the company's first $1b+ partnership channel. Previously, he worked at one of the nation's largest homebuilders, Lennar, and has 15+ years in the homebuilding industry. He is passionate about building a better platform for residential real estate and the new construction industry.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/derekschairer/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6e94b569536dd5143ae4726036ff5c387412c18e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 78242, "title": "Foundation: The buyer experience platform for new homes", "tagline": "Meet Foundation — Shopify for Homebuilders", "body": "### Homebuilding: A huge industry that’s still offline\n\nHomebuilding — building and selling new-construction homes — is a massive business. In the U.S., the Top 300 builders alone sell \\~$250 billion worth of homes each year.\n\nNot only is homebuilding a meaningful part of the U.S. economy, but it’s also a big part of U.S. culture (at least once you get out of Silicon Valley and NYC). In most American cities, most homeowners have either considered buying a new construction home, have already bought one, or know someone who works in or around the new construction industry.\n\nThe U.S. is also significantly underbuilt from a housing perspective — estimates suggest that we’re anywhere from 2M-6M homes short of the inventory needed to house American families. To bridge this gap, it’s going to be the big “production” builders who do much of the heavy lifting.\n\n### The opportunity: bring a massive industry online\n\nDespite how central homebuilding is to the U.S. economy & culture, large parts of the industry run almost entirely offline. After working closely with homebuilder partners for years at Opendoor, Foundation’s [founding team](https://www.linkedin.com/company/foundation-tech/) realized how big of an opportunity this is.\n\nA simple question we ask: “Why do you have an app for tracking your pizza delivery, but not one for the biggest purchase of your life?” With [the launch of Foundation’s buyer experience platform](https://buildwithfoundation.com/), this finally changes.\n\n![uploaded image](/media/?type=post&id=78242&key=user_uploads/17250/224f88b6-3d32-435a-b9c9-90fd77e1ef64)\n\nBy bringing the home purchase and ownership experience online, Foundation’s buyer experience platform helps homebuilders sell more homes, at higher margins, to happier buyers.\n\nOur first customers go live in Q1 2024, and the early response we’ve gotten — everyone from leading national builders who sell tens of thousands of homes a year, to forward-thinking, fast-growing regional and local builders — shows the tide is finally turning.", "url": "https://www.ycombinator.com/launches/KLy-foundation-the-buyer-experience-platform-for-new-homes", "votes": 16, "created_at": "2024-02-07T19:21:11.036Z" } ] }, { "id": 29113, "name": "Simbie AI", "slug": "simbie-ai", "former_names": [ "PeerWise Medical", "Simbie Health" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/de3ea440a910c4beb43d2c07c03f4dad65d8030c.png", "website": "http://www.simbie.ai", "all_locations": "New York City, NY, USA", "long_description": "", "one_liner": "We get patients to their next appointment", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1689114050, "tags": [ "SaaS", "Health Tech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare" ], "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/simbie-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/simbie-ai.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/simbieai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/de3ea440a910c4beb43d2c07c03f4dad65d8030c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 617488, "full_name": "Natalia Khosla, MD", "title": "Founder", "founder_bio": "Natalia is CEO and co-founder of Simbie AI. Before this she completed medical training at the University of Chicago, was a Fulbright Scholar at the LSE where she got her master's in health policy, and was an undergrad at Yale. Prior to Simbie she built DesiSpace, a social network for South Asian immigrants' mental health, and WeDesi, an artists' community building platform. Outside of Simbie, she is a dancer, writer, and does stand-up comedy.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/natalia-neha-khosla-md-msc-01968334/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a0cbffbc13b9b8dbd42585d7d5cfafb135668a2.jpg" }, { "user_id": 1135589, "full_name": "Rachel O’Driscoll", "title": "Founder", "founder_bio": "Co-Founder of Simbie AI. Rachel began her career in clinical research and quickly transitioned to health tech. She was an early employee at three digital health companies: Formation Bio, Carrot Fertility and Cayaba Care, focused on leveraging technology to increase patient access to healthcare. She loves building in this space and is passionate about bridging the gaps between the clinical and software development worlds.", "is_active": true, "linkedin_url": "https://linkedin.com/in/rachel-o-driscoll-896b55147", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/289cdd354bb4b3258e91bb96667171da9540a59b.jpg" } ], "jobs": [ { "id": 95703, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/simbie-ai/jobs/W0NFn29-forward-deployed-engineer", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $150K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python" ] }, { "id": 95847, "title": "Product Engineer / Senior Product Engineer", "url": "https://www.ycombinator.com/companies/simbie-ai/jobs/DmsGSBf-product-engineer-senior-product-engineer", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$120K - $160K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 107564, "title": "Business Development Representative (BDR)", "url": "https://www.ycombinator.com/companies/simbie-ai/jobs/iEfjrdo-business-development-representative-bdr", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$65K - $85K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95610, "title": "Simbie AI: We get patients to their next appointment", "tagline": "Healthcare's system of AI agents owning the between-visit period", "body": "Hi YC, we’re [Natalia Khosla MD](https://www.linkedin.com/in/natalia-neha-khosla-md-01968334/) and [Rachel O’Driscoll](https://www.linkedin.com/in/rachel-o-driscoll-896b55147/) from Simbie AI.\n\n# TL;DR\n\nSimbie AI is the AI agents’ system for healthcare follow up, ensuring patients get to their next visit. Today 30% of return visits don’t happen because patients get lost in follow up logistics, costing doctors 10% of revenue. Our clinically intelligent, EHR-integrated AI agents proactively reach out to patients and answer their messages, via text and voice, at vulnerable touchpoints for loss to follow up - after new diagnoses, new meds, or diagnostic tests are ordered - and close the loop on every request, documenting directly in the medical chart, until the patient is handed off to their return visit.\n\n![uploaded image](/media/?type=post&id=95610&key=user_uploads/617488/45df86c7-1f4e-4f3e-b590-8ef0355dc7af)\n\n# Ask: Intros! [founders@simbie.ai](mailto:founders@simbie.ai)\n\n# \n\n# Problem: 30% of patients get lost in follow up and don’t make it to their next appointment\n\nNeeding to schedule diagnostic tests like bloodwork or imaging, getting a new med or diagnosis, or general confusion about how to accomplish next steps stop patients from getting there. This loses practices 10% of revenue. Medical groups and hospitals throw expensive people at the problem—sinking 20% of revenue on human staff to chase patients down manually.\n\n# Solution: EHR-integrated Clinical AI agents that see patient questions/barriers through to resolution\n\nBeyond reactively answering phones: Simbie AI proactively reach patients at vulnerable touchpoints and get them back on track, answering their responses and scheduling outreach (call & text) sequentially until loops are closed. \n\n# Accomplished To Date:\n\n* Grown 400X since launching in Jan 2025\n* Used 24/7 in practices across the country \n* 0% churn\n* 100% inbound, $0 CAC due to our unfair advantages: 1) quick trust-gaining of doctor-leadership as a doctor- and clinical operator-led team and 2) viral spread via physician peer-to-peer networks.\n\n# Team & Why:\n\nNatalia and Rachel met during their undergrad days at Yale and have been best friends for 15 years. We are a doctor and clinic operations strategist—this problem is what we each lived for 10 years.\n\n[Natalia Khosla MD MSc](https://www.linkedin.com/in/natalia-neha-khosla-md-msc-01968334/) is a physician from UChicago, Fulbright Scholar, and LSE master’s in health economics. As a doctor herself, and from a family of docs, she has advocated for doctos and their patients throughout her career, recognizing physician burnout and poor patient satisfaction are two sides of the same coin. AI was the turning point she’d been waiting for: infinitely scalable staff to handle the grunt work that depletes doctors and loses patients in the system: making sure no patient is ever lost to follow up again.\n\n[Rachel O’Driscoll](https://www.linkedin.com/in/rachel-o-driscoll-896b55147/) is a clinical ops and strategy veteran with a proven track record: she built Cayaba Care, a brick and mortar and digital health practice, ground-up. As the Ops leader and de facto practice manager overseeing medical assistants and front desk staff firsthand, she saw the inefficiency of human staffing. Before Cayaba, Rachel led private practice onboarding at Formation Bio and designed partnerships with practices at Carrot Fertility. Across all roles, she’s specialized in streamlining clinic operations, improving patient experience, and building scalable systems that support physician groups and health systems.", "url": "https://www.ycombinator.com/launches/Os6-simbie-ai-we-get-patients-to-their-next-appointment", "votes": 28, "created_at": "2025-11-19T20:10:40.668Z" }, { "id": 73955, "title": "Simbie AI - Clinically-intelligent AI Voice Agents for Healthcare", "tagline": "Our agents answer the phones, call patients, and are EHR integrated.", "body": "Hi! We’re Natalia Perina, Rachel O’Driscoll, and Natalia Khosla MD and we’re the founders of Simbie AI.\n\n**TL;DR**\n\n[Simbie AI](https://www.simbie.ai) is an AI voice agents platform for medical practices. Our agents answer practice phone calls, call patients and outside providers for practices, and integrate fully with the EHR.\n\n![uploaded image](/media/?type=post&id=73955&key=user_uploads/617488/e6eeeb33-fdb3-49f9-b10e-c05f7d3b8ea2)\n\n**The Problem: Doctors are overburdened with tasks that take them from their key work: medical decision making.**\n\nDuring medical training, Natalia Khosla identified firsthand the tasks in the overstretched medical workflow that were perfect cases for AI automation - not only administrative, but a step further: medical, clinical, and practice-of-medicine-changing. We apply these insights.\n\n**Our Solution: EHR-Integrated, Clinically Intelligent AI Voice Agents**\n\nOur agents work directly in practices’ EHRs, and are clinically trained to handle all tasks, administrative and beyond. They answer practice phone calls, complete relevant tasks in the EHR, call patients, and document appropriately.\n\n**Our Story & Team**\n\nOur team has been in healthcare for over 20 years combined. After collectively being friends, working together, and scheming about how to reshape healthcare for over 10 years (including as roommates at Yale and colleagues at TrialSpark), we decided to make waves. We are on a mission to leverage technology to expand care access and equity—helping providers practice how they prefer and improving quality of care. \n\n* [Natalia Khosla, MD, MSc](https://www.linkedin.com/in/natalia-neha-khosla-md-01968334/) is a physician who trained at the University of Chicago and a published author in a number of academic medical journals, with a career focus on innovation for health equity and quality—holding strongly that improving systems for the most marginalized improves quality for all. She received her master’s in Inequalities & Health Policy at the London School of Economics as a Fulbright Scholar.\n* [Rachel O’Driscoll](https://www.linkedin.com/in/rachel-o-driscoll-896b55147/) is a clinical operations expert with a decade of experience in high-growth healthcare startups, including launching and operating a tech-enabled OBGYN clinic at Cayaba Care, running US Operations at [Carrot Fertility](https://www.ycombinator.com/companies/carrot-fertility), and managing the Provider Network at TrialSpark.\n* [Natalia Perina](https://www.linkedin.com/in/natalia-perina-48918391/) is a healthcare technical leader, with over 5 years of experience in the space. At TrialSpark, she led the patient recruitment product and data teams to make faster and cheaper clinical trials. She most recently worked on improving public health analytics while at Ratio PBC.\n\n**Asks**\n\n1. Do you know medical practices looking to level up with AI voice agents? [Let us help them](https://founders@simbiehealth.com).\n2. Share this post and follow us on [LinkedIn](https://www.linkedin.com/company/simbie-health/?viewAsMember=true)!", "url": "https://www.ycombinator.com/launches/JEp-simbie-ai-clinically-intelligent-ai-voice-agents-for-healthcare", "votes": 58, "created_at": "2023-08-09T17:03:17.423Z" } ] }, { "id": 29115, "name": "Mocha", "slug": "mocha", "former_names": [ "action AI", "Action AI", "Axilla", "Axflow", "Srcbook" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e2e9ab5d9d14600d56cfc241294be2559fffc5f6.png", "website": "https://getmocha.com", "all_locations": "San Francisco, CA, USA", "long_description": "What if you could build web apps as easily as you make a Figma design or edit a Google Doc?\r\n\r\n\r\nEnter Mocha. We've reimagined app development with a state-of-the-art coding agent that builds for our users.\r\n\r\nWant to launch that app idea? Need to build something for your community? Looking to prototype faster? Start here. We've removed the barriers between idea and execution.\r\n\r\nOur mission is to empower everyone to build for the web, our vision is personal software.\r\n\r\n", "one_liner": "Build and publish web apps in minutes. No coding required.", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1690767970, "tags": [ "No-code", "Web Development", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mocha", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/mocha.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/96310770", "x_url": "https://twitter.com/buildwithmocha", "fb_url": null, "cb_url": null, "github_url": "https://github.com/srcbookdev/srcbook", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e2e9ab5d9d14600d56cfc241294be2559fffc5f6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1f3192a68c42ec6ce46753d2035c2f7677266dec.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1399285, "full_name": "Nicholas Charriere", "title": "Founder", "founder_bio": "Currently building Mocha. \n\n\n\nFrench & British, been a developer in the valley for 12 years in smaller & larger startups (Pinterest, Cruise).\nGeneralist but most of my recent experience is in distributed systems, ML platforms and AI systems (agents, harnesses, agent UX).\n\nhttps://nicholascharriere.com", "is_active": true, "linkedin_url": "https://linkedin.com/in/nicholas-charriere", "x_url": "https://twitter.com/nichochar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/158068b1cc71592e72d530ace07bd358ca420202.jpg" }, { "user_id": 1448621, "full_name": "Ben Reinhart", "title": "Founder", "founder_bio": "Software engineer and entrepreneur. Previously ML infra at Cruise, cofounder at Fam (acquihired by Nextdoor), and Groupon.", "is_active": true, "linkedin_url": "https://linkedin.com/in/bereinhart", "x_url": "https://twitter.com/benjreinhart", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/431f4c4da27f11fb396f174e32f93b73d8d572de.jpg" } ], "jobs": [], "news": [ { "title": "Show HN: Srcbook – A TypeScript notebook for rapid prototyping | Hacker News", "url": "https://news.ycombinator.com/item?id=41291700", "date": "Aug 20, 2024" } ], "launches": [ { "id": 83310, "title": "Srcbook: TypeScript notebooks", "tagline": "Meet Srcbook, the best way to prototype in TypeScript!", "body": "**TLDR**: We recently launched a new open-source application for prototyping in TypeScript: [**Srcbook**](https://srcbook.com/) (pronounced “source-book”). Srcbook is a notebook-style programming environment and the best way to prototype code, explore libraries, learn concepts, and rapidly iterate on your ideas with TypeScript. It runs locally, has powerful AI features, and exports to markdown for maximum portability.\n\n[**https://www.loom.com/share/f0ea7257d9c544848f4128cf0ccba8ae?sid=d5a51920-8c37-4b10-90ee-414170dfeb5d**](https://www.loom.com/share/f0ea7257d9c544848f4128cf0ccba8ae?sid=d5a51920-8c37-4b10-90ee-414170dfeb5d)\n\n### Origin story\n\nWe are very bullish on AI moving from being a Python discipline in the ML era to a TypeScript discipline in the Generative AI era. We previously tried building multiple products to serve this new TypeScript-AI wave, but we quickly realized that most teams don’t want low-code GUI tools to do evals or build agents with drag-and-drop. What they actually want is to write code but do so with rapid iterations. In Python, they automatically reach out to Jupyter for such workflows, but in TypeScript? We found that there was a large gap… We realized that a TypeScript notebook would be useful for many use cases, not just applied gen-AI, and so we started building.\n\n### The product\n\nSrcbook is a beautiful, open-source, local-first application to write and iterate on TypeScript code. It’s available today on npm: `npx srcbook start`\n\n![uploaded image](/media/?type=post&id=83310&key=user_uploads/1399285/1af6e324-e52a-4d49-8e35-27af1b5dd4b5)\n\nSome key features:\n\n* Full npm ecosystem access\n* AI-assisted coding (OpenAI, Anthropic, or local models), with notebook-specific advantages and a natural “pair-programmer” UX\n* Exports to valid markdown for easy sharing and version control\n\nWe recently [launched on HN](https://news.ycombinator.com/item?id=41291700) and devs really seem to like it, all our graphs started looking like this!\n\n![uploaded image](/media/?type=post&id=83310&key=user_uploads/1399285/a040cd03-a61f-4767-b524-50b285aa9bd3)\n\n### Demo\n\nIn this video, you can see Nick using the genAI features to bootstrap a CLI-based chess game in a few minutes.\n\n\n\n### Asks\n\nTry Srcbook out! It’s free, just `npm srcbook start` in any terminal.\n\nStarring us on [GitHub](https://github.com/srcbookdev/srcbook/tree/main) also helps, although what we really want is for you to build cool stuff with Srcbook. If you make a good Srcbook, send it our way, and we will showcase it in the [Hub](https://hub.srcbook.com).\n\n![uploaded image](/media/?type=post&id=83310&key=user_uploads/1399285/8bab03fa-f71f-43bb-9639-152a83cfb733)\n\nPS: We’re [Ben](https://linkedin.com/in/bereinhart) and [Nick](https://linkedin.com/in/nicholas-charriere), been building together for 5+ years at Cruise and other startups, and we love TypeScript. If you do too, reach out and let’s chat!", "url": "https://www.ycombinator.com/launches/Lfi-srcbook-typescript-notebooks", "votes": 31, "created_at": "2024-08-22T17:06:51.212Z" }, { "id": 73588, "title": "Axilla — an AI framework for TypeScript", "tagline": "Axilla is an end-to-end framework to develop LLM applications for enterprise", "body": "**tl;dr** Axilla is a framework for the AI engineer of the future: a product-focused TypeScript developer. Axilla provides a family of modular libraries, which can be incrementally adopted, and together form an **end-to-end opinionated framework for LLM development**.\n\n### The team\n\nHey there 👋, we’re [**@Ben Reinhart**](https://linkedin.com/in/bereinhart) and [**@Nicholas Charriere**](https://linkedin.com/in/nicholas-charriere).\n\n![uploaded image](/media/?type=post&id=73588&key=user_uploads/1399285/8bda8bff-dc8a-4979-9c4b-a73b4c49a5f1)\n\nWe first started working together on ML platforms at Cruise, a leading self-driving car company, where we spent 4 years on the ML platform team. This is also where we became great friends!\n\nAt Cruise, we’ve seen the productivity losses that result from a fragmented ML organization. We then spent years designing and building a standardized framework and personally experienced the productivity superpowers that resulted from the framework’s adoption.\n\n### 🤨 The problem\n\nAn accelerating trend in the AI landscape is the shift from in-house model training to foundational models abstracted away behind APIs (chatGPT, Midjourney, llama2…).\n\nA consequence of this trend is that AI teams are morphing from Python-focused data scientists to resemble typical product engineering teams: full-stack web developers increasingly coding AI applications in TypeScript.\n\nWe’ve spoken to a number of enterprise customers who’ve confirmed their product teams are now responsible for designing and launching new AI initiatives, especially ones involving LLMs. However, given how recent the explosion of LLMs is, **these product engineers don’t yet have the tools** **to ship AI features quickly and with confidence**.\n\n### 💡 The solution\n\n[**Axilla**](https://www.axilla.io/) provides a family of modular and coherent libraries which together form an end-to-end opinionated framework for LLM development. It is aimed at TypeScript developers who want to build and operate production-grade AI applications.\n\nIt’s early, but in the last three weeks we launched our first two modules:\n\n1. [**axgen**](https://github.com/axilla-io/ax/tree/main/packages/axgen) is focused on data ingestion and retrieval\n2. [**axeval**](https://github.com/axilla-io/ax/tree/main/packages/axeval) is focused on continuous evaluation & quality monitoring\n\nNext, we are excited to begin work on model serving and monitoring, which are two of our most critical components. Together, these integrate production data back into the continuous evaluation pipelines, enable enterprises to run open-source models internally, and **allow developers to stop flying blind** when it comes to their AI applications.\n\n### Demo\n\nAs part of our first release, we built a proof of concept that demonstrates how to build a “chat with your documents” application using axgen.\n\n\n\n### Asks\n\n[**Try axilla**](https://github.com/axilla-io/ax) today! It’s open source and available on npm. If you like it, **give it a star** ⭐️, and come join the conversation on [twitter](https://twitter.com/axilla_io).\n\nAre you a product engineer building AI applications (especially with TypeScript)? We’d love to [chat](https://calendly.com/nichochar/15min-chat-with-nicholas)!", "url": "https://www.ycombinator.com/launches/J8u-axilla-an-ai-framework-for-typescript", "votes": 54, "created_at": "2023-07-31T01:48:09.241Z" } ] }, { "id": 29117, "name": "Twine", "slug": "twine", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b3e6d9ef44b5a30957092f779906587404458335.png", "website": "http://www.usetwine.com", "all_locations": "San Francisco, CA, USA", "long_description": "Twine helps service businesses turn more leads into booked revenue. We capture every call, text, form, chat, Google, Yelp, and ad lead in one place, then use AI to respond instantly, qualify customers, follow up automatically, book jobs, and show which channels are actually making money.", "one_liner": "ai revenue engine for service businesses", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1692063402, "tags": [ "Sales", "Sales Enablement", "Marketing", "SMB", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Sales" ], "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/twine", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/twine.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/twinelabs/", "x_url": "https://www.twitter.com/useTwine", "fb_url": "https://www.facebook.com/profile.php?id=100095014730522&sk=friends_likes", "cb_url": "https://www.crunchbase.com/organization/twine-e85f", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b3e6d9ef44b5a30957092f779906587404458335.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/42ebd242176ba5ad1ba10d04ae42e316fd35940d.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 406208, "full_name": "Anand Valavalkar", "title": "Founder", "founder_bio": "Co-founder/CEO @ Twine | Previously UT Austin CS, Superhuman | Founded 6 Figure Networking & Audio/Visual Installation Company in High School", "is_active": true, "linkedin_url": "https://linkedin.com/in/anand-valavalkar", "x_url": "https://twitter.com/anandvalavalkar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/74de39dbe5321707bf2bbe905664d43a9f58feec.jpg" }, { "user_id": 1363513, "full_name": "Omar Imtiaz", "title": "Founder", "founder_bio": "Omar Imtiaz is the CTO and co-founder of Twine. Helping small, service-based businesses transform missed calls into paying customers. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/omar-ahmed-imtiaz", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0bfa30fcaf47182be5204f80261897736c1f745.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 74112, "title": "Twine 🪡 AI text conversations for SMBs", "tagline": "Turning missed calls into bookings.", "body": "**tl;dr**: We make sure small businesses never miss out on potential customers because of missed calls. We use conversational AI to engage customers over text, find out what they need, and book them for a service.\n\n![uploaded image](/media/?type=post&id=74112&key=user_uploads/406208/e4650e95-528b-4a3f-97ed-babcf0965a2f)\n\nWe’re Divyesh, Omar, and Anand, and we’re building [Twine](https://www.usetwine.com/).\n\n# **Problem: Missed Calls = Missed Business** 💸\n\nSmall businesses are missing out on thousands of dollars because they can’t immediately pick up the phone. Customers often work with the company that responds to them the fastest. To solve the problem of missed calls, businesses employ expensive solutions, such as a receptionist or an outsourced answering service.\n\n# **Solution: Missed Calls** ☎️ **→ Immediate AI Text Message Conversations** 💬\n\nIf a business misses a call, Twine texts the customer to find out why they were calling and can get them on their calendar. We integrate with existing VOIP and cell phone services with minimal setup time.\n\n![](https://lh5.googleusercontent.com/qSsWRMEkZekNQrHrrkMPALcUeWoAmQKigcw8cNoskTKe2Ereo8Y96_x_EhzqCBhHqKQCFe5gwC9pmZ7s0JuEgFpXQca_qG2iujVLOQzB_HWxR07-NCXHuR0TvUHhHj3P9_vgCmxSzEzRQIpUhvzJwt0)\n\n_Twine understands natural language and follows up with customers to get details and book services._\n\n### **How we got started**\n\nAnand started a networking & audio/visual company in high school that eventually grew to six figures. He sold phone systems to small businesses and saw the revenue his customers left on the table due to missed calls.\n\n# **The Ask** 👋\n\nDo you know a small business owner that could benefit from Twine? If so, we'd be grateful for an introduction!\n\nQuick blurb to copy and paste:\n\n> Twine uses AI to make sure that businesses like yours never miss out on potential customers when calls go unanswered. Check out their website at [www.usetwine.com](http://www.usetwine.com) or email them at [founders@usetwine.com](mailto:founders@usetwine.com)", "url": "https://www.ycombinator.com/launches/JHM-twine-ai-text-conversations-for-smbs", "votes": 331, "created_at": "2023-08-15T15:30:23.196Z" } ] }, { "id": 29118, "name": "Structured Labs", "slug": "structured-labs", "former_names": [ "Structured", "Structured Labs", "Preswald", "Structured Labs", "Wadium", "Waldium" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e8dd08fd61491d9efffabb3dff787320791e2421.png", "website": "https://www.structuredlabs.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Waldium is an AI-driven platform for researching, writing, and publishing technical knowledge in formats that both humans and AIs can understand. We help developers create technical guides, resources and tutorials — structured, durable knowledge that AIs can learn from, cite, and build upon.", "one_liner": "The publishing layer for the agentic internet", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1686619959, "tags": [ "Developer Tools", "Search", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/structured-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/structured-labs.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/structuredlabs/", "x_url": "https://x.com/waldium", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/structured-labs", "github_url": "https://github.com/StructuredLabs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e8dd08fd61491d9efffabb3dff787320791e2421.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": 1194855, "full_name": "Amrutha Gujjar", "title": "Founder", "founder_bio": "Structured", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/amruthagujjar/", "x_url": "https://twitter.com/amruthagujjar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/94a9bf7fb1763cd598927323dbc16a60f0d7ad98.jpg" }, { "user_id": 281458, "full_name": "Shivam Singhal", "title": "Founder", "founder_bio": "data infrastructure", "is_active": false, "linkedin_url": "https://linkedin.com/in/shivam-singhal", "x_url": "https://twitter.com/singhals_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4d9c91a2c049a5a37324846f26886d63ddc5837d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83717, "title": "📈 Structured - Single source of truth for key business metrics", "tagline": "Unify your growth and data teams with consistent metrics, automated documentation, and real-time alerts, all synced directly from your data warehouse and dbt.", "body": "### **The Problem: Inconsistent Metrics, Misaligned Decisions**\n\nIn the high-pressure world of growth and revenue, teams live or die by their data. Yet, too often, the very metrics that should guide decisions are inconsistent, poorly documented, or misunderstood across different teams. \n\nImagine this: Your team is preparing for an important strategy meeting. They need to assess the impact of a new onboarding feature on user activation. Marketing has one definition of \"activation,\" product has another, and sales uses a completely different set of metrics. Each team pulls data from the same warehouse – but interprets it differently, leading to conflicting reports and a confused leadership team. The result? This misalignment creates chaos, leading to conflicting reports, wasted resources, and missed revenue. Hours are wasted on reconciling data discrepancies instead of focusing on strategy, and missed opportunities to act on accurate insights.\n\nBut what if you could ensure that every team in your organization was always on the same page, with a single, accurate source of truth for all key metrics? What if your data was automatically documented, changes tracked, and alerts sent out when something significant changes? Enter Structured.\n\n![uploaded image](/media/?type=post&id=83717&key=user_uploads/1194855/8a5a8ddb-49b1-4d41-82f6-12ec24c16154)\n\n### **The Solution: Structured Brings Clarity and Consistency**\n\nStructured is designed to solve this exact problem. By integrating directly with your data warehouse (e.g., Snowflake, BigQuery) and your transformation tools (e.g., dbt), Structured automatically catalogs your data’s metadata and ensures that all metrics are consistently defined and documented across your organization.\n\n1. **Connect Your Data Warehouse and dbt:**\n * Structured connects directly to your data warehouse—whether it’s Snowflake, BigQuery, Databricks, or Redshift—and integrates with dbt, the tool your data engineers already use to model and transform data.\n * The moment you connect, Structured starts cataloging your data, tracking every table, column, and transformation automatically.\n2. **Auto-Generated Data Catalog and Documentation:**\n * Structured automatically generates a comprehensive data catalog, documenting every metric, entity, and relationship. AND—this documentation is instantly synced to Notion, a tool your business teams already know and love.\n * Now, whether you’re a data engineer or a revops analyst, you can easily access and understand how metrics are defined and where the data comes from. No more guessing, no more miscommunication—just clarity\n3. **Summaries of Changes and Version History:**\n * Structured tracks every change made to your data models and metrics, automatically generating summaries that are easy to understand, even for non-technical users.\n * Every change is logged with version history, so you can see exactly how metrics have evolved over time. This means no more confusion over which version of a report to trust—everyone is working from the latest, most accurate data.\n4. **Alerting on Metric Changes:**\n * Structured’s AI doesn’t just catalog your data—it monitors it over time. If a critical metric changes—say, your churn rate spikes or a key transformation in dbt is modified—Structured sends out alerts to the relevant teams to see what’s up\n * These alerts are designed to be easily understood by business users so everyone knows what’s happening and why it matters. This means faster, more informed decisions and no surprises in your strategy meetings.\n\n![uploaded image](/media/?type=post&id=83717&key=user_uploads/1194855/aeb49c87-18e9-4860-9bcb-04a54f96569b)\n\n### **ROI: Real Results from Day One**\n\nStructured delivers measurable value by:\n\n* **50% Faster Reporting:** Teams can generate accurate reports in half the time, thanks to consistent, pre-documented metrics that are automatically synced to tools like Notion.\n* **20% Reduction in Data Errors:** Structured reduces the risk of data discrepancies with automated metadata management and version tracking, ensuring that your reports are always based on the most accurate and up-to-date information.\n* **30% Lower Operational Costs:** By automating the documentation and alignment of data, Structured reduces the manual effort required from your data teams, freeing them to focus on more strategic tasks.\n\n![uploaded image](/media/?type=post&id=83717&key=user_uploads/1194855/9751d79d-6c81-46c3-adb8-c9156653f0d6)\n\n### **Get Started Today!**\n\nStructured is here to help your teams make better decisions, faster. Visit [structuredlabs.com](http://structuredlabs.com) or reach out to Amrutha Gujjar: [amrutha@structuredlabs.com](mailto:amrutha@structuredlabs.com) to schedule a demo and see how Structured can help!", "url": "https://www.ycombinator.com/launches/LmH-structured-single-source-of-truth-for-key-business-metrics", "votes": 125, "created_at": "2024-09-03T20:34:12.116Z" }, { "id": 73623, "title": "⭐ Structured - Semantic layer for reliable business metrics", "tagline": "Consistent metrics, trusted data, faster decisions, and clear growth outcomes.", "body": "Hello YC! We are Amrutha Gujjar and Shivam Singhal, the founders of Structured.\n\nWe’re excited to introduce **Structured**—a platform that helps businesses easily define, manage, and scale their most critical business metrics using a robust semantic layer.\n\n### **The Problem**\n\nIn today’s data-driven world, businesses are increasingly relying on metrics to guide decision-making. However, we’ve seen countless organizations struggle with the inconsistency and complexity of defining and managing these metrics. Whether it’s “Revenue,” “Customer Acquisition Cost,” or “Churn Rate,” different teams within the same company often use different definitions, leading to misaligned decisions, wasted resources, and a lack of trust in the data.\n\nTraditional BI tools fall short when it comes to ensuring that metrics are computed consistently across an organization. This problem is particularly acute in companies with large, complex datasets stored in cloud data warehouses like Google BigQuery. Maintaining consistency and governance over these metrics typically requires significant manual effort, deep technical expertise, and can lead to errors that compromise decision-making.\n\n### **Scenario**\n\nAs the VP of Data at a rapidly scaling SaaS company, you're responsible for ensuring that the metrics used across the organization are accurate, consistent, and aligned. But despite your best efforts, discrepancies in critical metrics like Customer Acquisition Cost (CAC) and Monthly Recurring Revenue (MRR) continue to create challenges.\n\nFor example, your Marketing team reports a CAC of $130, calculated using data from HubSpot and Salesforce, where they focus on ad spend and campaign costs. They’re eager to demonstrate the efficiency of their campaigns, so they exclude overhead costs to present a leaner figure.\n\nOn the other hand, your Finance team calculates CAC at $210, pulling from NetSuite and incorporating a broader range of costs, including overhead and allocated expenses. Their approach is to capture the full financial impact, ensuring that nothing is overlooked.\n\nMeanwhile, the Product team is responsible for tracking MRR, using data from Stripe. However, they include one-off setup fees in their MRR calculations, inflating the recurring revenue figure. When they report MRR as $1.2 million, you know the true recurring revenue is closer to $1 million when those fees are excluded.\n\nThese conflicting numbers lead to confusion and frustration at the executive level. The CEO asks for the real CAC and MRR to inform key strategic decisions, but the data from different teams doesn’t match up. You find yourself mediating between departments, trying to align definitions, and reconciling these differences. Your data team spends hours pulling reports, adjusting metrics, and validating numbers, just to arrive at a single source of truth.\n\nThis process isn’t just time-consuming; it’s draining your team’s resources and slowing down the decision-making process. The ongoing discrepancies and the manual effort required to resolve them create friction across departments, eroding trust in the data and undermining the confidence of the executive team in making data-driven decisions.\n\n### **The Solution**\n\n**Structured** is a powerful semantic layer that integrates directly with cloud data warehouses like Google BigQuery.\n\n* **Onboarding and Setup**:\n * Your data team connects Structured to your Google BigQuery warehouse in one-click. \n * **Define Standard Metrics**: Access a library of pre-built metric templates or create custom metrics tailored to your specific business needs. \n * _Example_: Using Structured’s library, you define CAC and MRR with input from finance, marketing, and product. Everyone agrees on what costs are included in CAC and how MRR should be calculated.\n * Structured makes sure that these definitions are consistently applied across your organization.\n\n![uploaded image](/media/?type=post&id=73623&key=user_uploads/1194855/fe1a81fd-f235-4e41-9395-daeefe0b3daa)\n\n* **Governance and Control**:\n * You assign ownership of these metrics to the finance team, but allow other departments to view and suggest changes. Structured’s version control means every change is tracked, so you can always revert if necessary.\n * Now, all departments are using the same metrics. When the CEO asks for the latest CAC and MRR, everyone is looking at the same, accurate numbers \n* **Proactive Alerts**: Structured’s AI-driven features monitor your metrics and flag any anomalies. For example, if CAC suddenly spikes, the platform can alert you before it becomes a bigger issue. These insights help you stay ahead of potential problems and make more informed decisions.\n* **Data Request Tickets:** Structured offers an integrated ticketing system to manage data-related requests across your organization. Whether it's a request for a new metric, a data discrepancy, or additional analysis, your team can easily submit, track, and resolve these requests within the platform.\n* **Knowledge Base**: Structured automatically generates documentation as an artifact of setting up and managing metrics. This documentation is a powerful, quick win for your data team, creating a shared reference point that everyone in the organization can trust. This instant clarity translates directly to business impact—empowering your teams to make aligned decisions faster.\n* **ROI**:\n * Your team saves dozens of hours previously spent reconciling different versions of the same metric. Decisions are made faster and with more confidence.\n * By making data-driven adjustments to your customer acquisition strategies based on the standardized CAC, your company can focus on reducing the acquisition costs. The clarity around MRR helps optimize pricing strategies, contributing to increase in revenue.\n\n![uploaded image](/media/?type=post&id=73623&key=user_uploads/1194855/333b7409-baed-4975-ac28-e4d7a850ba1c)\n\n### **Why Structured?**\n\nWe founded Structured because we believe that every business, regardless of its size or technical sophistication, should have access to reliable, consistent metrics that drive smarter decisions. We’ve experienced firsthand the frustrations of working with inconsistent data and the impact it can have on business outcomes.\n\nWe realized that the tools available today either require significant technical expertise or fall short in ensuring metric consistency across an organization. Structured was born out of a desire to create a solution that bridges this gap—providing a platform that is both powerful enough for data teams and simple enough for business users. By focusing on the specific challenge of metric consistency, we aim to empower companies to make better, data-driven decisions without the technical overhead.\n\n### **Why Now?**\n\nBusinesses are generating and storing more data than ever before, particularly in cloud-based data warehouses. With this explosion of data comes the challenge of making sense of it—turning raw numbers into meaningful metrics that everyone in the organization can trust and use.\n\nAt the same time, the complexity of data environments is increasing. Companies are dealing with multiple data sources, complex data pipelines, and a growing need to make sure that metrics are not only accurate but also consistent across different departments and teams. Traditional BI tools are struggling to keep up with these demands, and businesses are increasingly looking for solutions that can provide a more streamlined, consistent approach to metric computation.\n\nThe market is ripe for a solution that can simplify the process of managing business metrics, reduce the reliance on specialized technical skills, and allow organizations to unlock the full potential of their data. Structured addresses this need head-on, providing a solution that is both timely and essential for the next generation of data-driven businesses.\n\n### **Try Structured**\n\nIf you’ve ever struggled with inconsistent metrics or if you’re looking for a better way to manage and scale your business analytics, we’d love to connect with you. Check us out at [structuredlabs.com](http://structuredlabs.com) or drop us an email at [amrutha@structuredlabs.com](mailto:amrutha@structuredlabs.com) \n\nLooking forward to your feedback and insights!", "url": "https://www.ycombinator.com/launches/J9T-structured-semantic-layer-for-reliable-business-metrics", "votes": 157, "created_at": "2023-07-31T22:30:34.907Z" } ] }, { "id": 29119, "name": "Nowadays", "slug": "nowadays", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a04edfc3d5a9b0bb3ae585010c50f7f39fdc2a1.png", "website": "http://nowadays.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Nowadays is the AI-native platform for corporate meetings and events. Our AI doesn't just assist planners – it does the work. It emails and calls venues, negotiates rates in 22 languages, parses 50-page hotel proposals into clean apples-to-apples comparisons, and surfaces unmanaged meeting spend across your entire org.\r\n\r\nWe work with companies ranging from ones planning one epic company kickoff a year to ones running thousands of meetings through the platform annually. Clients include Google, Airbnb, BlackRock, Anthropic, Pylon, and Mintlify.\r\n\r\nUnlike legacy platforms like Cvent that bolted AI onto decades-old infrastructure, Nowadays was built from the ground up for the AI era.", "one_liner": "AI-native platform for corporate meetings and events", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1687830204, "tags": [ "B2B", "Logistics", "Marketing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/nowadays", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/nowadays.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nowadays-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a04edfc3d5a9b0bb3ae585010c50f7f39fdc2a1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ba2fac5a9acaec8c27991d725107ea149c9ea2a6.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/25148f53122cadc55082e163406f58434e1fa741.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1347384, "full_name": "Anna Sun", "title": "Founder", "founder_bio": "CEO at Nowadays. Previously PM & SWE at Datadog, DoorDash, and Amazon. Studied Computer Science and graduated from MIT. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/annasun19", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ba62c93f728ad98f33d467d4fb1fe23184c39a89.jpg" }, { "user_id": 1374367, "full_name": "Amy Yan", "title": "Founder", "founder_bio": "COO at Nowadays. Formerly worked in strategy & operations roles at Google, Meta, and McKinsey & Company.", "is_active": true, "linkedin_url": "https://linkedin.com/in/amysunyan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3dffea87f39ee6fe31af9fccb82ac578c27c4b98.jpg" } ], "jobs": [ { "id": 87719, "title": "Founding Software Engineer", "url": "https://www.ycombinator.com/companies/nowadays/jobs/MkqOCPn-founding-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $170K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 87720, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/nowadays/jobs/hq419qc-founding-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80K - $240K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 87721, "title": "Founding Operator", "url": "https://www.ycombinator.com/companies/nowadays/jobs/3hKed4I-founding-operator", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$90K - $130K", "equity_range": "0.25% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 87949, "title": "Founding Product Engineer", "url": "https://www.ycombinator.com/companies/nowadays/jobs/syo6fpn-founding-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $170K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 87950, "title": "Founding AI Engineer", "url": "https://www.ycombinator.com/companies/nowadays/jobs/AYtFC1G-founding-ai-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $170K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 87952, "title": "Founding Product Designer", "url": "https://www.ycombinator.com/companies/nowadays/jobs/hrkGPy8-founding-product-designer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "0.25% - 1.25%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117421, "title": "Forward-Deployed Engineer", "url": "https://www.ycombinator.com/companies/nowadays/jobs/fTcD3v9-forward-deployed-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $170K", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Node.js", "Python", "React", "TypeScript", "SQL", "Next.js" ] } ], "news": [ { "title": "Turning Event Planning Headaches into AI Innovation With Nowadays' Anna Sun", "url": "https://www.rippling.com/blog/founder-spotlight-anna-sun", "date": "Mar 11, 2026" }, { "title": "\n\tHot 25 Travel Startups for 2026: Nowadays | PhocusWire\n", "url": "https://www.phocuswire.com/hot-25-travel-startups-2026-nowadays", "date": "Nov 10, 2025" }, { "title": "AI Event Planning Tool Nowadays Wins BTS America Innovation Faceoff | Business Travel News", "url": "https://www.businesstravelnews.com/Management/AI-Event-Planning-Tool-Nowadays-Wins-BTS-America-Innovation-Faceoff?utm_source=newsletter&utm_medium=email&utm_campaign=eltrdaily&oly_enc_id=7297B1248256H2B", "date": "Oct 17, 2025" }, { "title": "Mercer Island Women Leading Venture Capital", "url": "https://citylifestyle.com/articles/mercer-island-female-vcs-thankful-for-connection", "date": "Dec 18, 2024" }, { "title": "Nowadays' Founders Share How $2 Million Will Help Further Develop Its AI", "url": "https://meetings.skift.com/2024/12/13/nowadays-founders-share-how-2-million-will-help-further-develop-its-ai/", "date": "Dec 13, 2024" } ], "launches": [ { "id": 103278, "title": "Nowadays AI: AI-Native Platform for Corporate Meetings & Events", "tagline": "The AI-native platform that sources venues, negotiates contracts, and runs your entire corporate event, so your team just shows up", "body": "Hey everyone!! We're Anna and Amy, sisters, co-founders, and the people who used to manually call 20 hotels for a single offsite.\n\nWe launched Nowadays on YC S23 as an \"AI copilot for event planning.\" Two years later, we want to show you what we actually built :)\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/709549e5-8a04-4b5c-8557-76886ff145a0)\n\n# **TL;DR**\n\nNowadays is the AI-native platform for corporate retreats and meetings. Tell us what you need: we handle venue sourcing, contract negotiation, room blocks, attendee logistics, and post-event reconciliation. Fortune 500 teams and fast-growing startups use Nowadays to run offsites they're proud of, without burning out their ops team.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/53908cc7-1f81-4c15-afe7-5e0f11b7ad59)\n\n# **The Problem**\n\nPlanning a corporate offsite is a second job nobody signed up for.\n\nYour EA or ops lead spends weeks cold-emailing hotels, chasing RFPs, deciphering hotel contracts, and manually tracking room blocks in spreadsheets, only to do it all over again next quarter.\n\nThe vendors in this space are slow and expensive. Many of our customers have said the same thing: \"I got paired with a planner worse than myself.\"\n\nThe result: overpriced venues, cancellation penalties nobody caught, and an ops team that's exhausted before the event even starts. And for most enterprises, 65% of meeting spend is completely unmanaged, buried in expense reports, booked by admins outside any system.\n\n# **Our Solution**\n\nNowadays replaces the entire event planning stack with one AI-native platform, backed by a team that actually executes on your behalf. You tell us what you need. We handle the rest. Your team just shows up.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/67abf2bb-7640-4684-9bbf-c2bfb3a85d4a)\n\n## **1. AI-powered venue sourcing**\n\nDescribe your event, dates, headcount, vibe, budget, and we generate a curated shortlist of venues with proposals in 24 hours, not weeks. We have relationships with 400K+ hotels globally and we're a certified IATA travel agency.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/cedeb56d-e591-4eed-a1f6-b75d1eabf9b5)\n\n## **2. Contract negotiation, handled**\n\nWe negotiate directly with venues on your behalf, pushing on room rates, F&B minimums, attrition clauses, and cancellation terms. Our AI knows market rates from thousands of events and pushes back when hotels overcharge. Clients routinely save 20-30% vs. going direct.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/1156b34d-e9b9-4e1d-bc9a-7736a13901a9)\n\n## **3. Exclusive rates**\n\nWe aggregate demand across all our clients to secure rates individual companies can't get on their own.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/592bb426-c3e7-4457-ab13-860504f2fc0e)\n\n## **4. End-to-end logistics**\n\nRoom blocks, cutoff dates, rooming lists, supplier coordination, tracked in one place, managed by us. Nothing falls through the cracks while you're onsite.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/49563edb-1c99-4cc1-afbd-d590b691258f)\n\n## **5. Attendee registration and logistics**\n\nCustom registration forms, dietary needs, t-shirt sizes, room assignments, all in the platform. Your ops lead is not managing 12 spreadsheets.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/302d0f5a-5d1c-4b01-8cdc-32bffe7d01e8)\n\n## **6. Expert support**\n\nEvery client gets a dedicated Nowadays partner who knows your program, your preferences, and your budget. Our AI acts, and when you need a human, we're there.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/2afea73a-7a20-4209-b1b7-e2ded68d6a13)\n\n## **7. Post-event reconciliation**\n\nWe audit the final folio, catch billing errors, and close the loop financially. No more surprise charges two weeks after everyone's home.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/836fcdff-8837-4754-b447-cda95c651c11)\n\n## **Why we're different**\n\nEvery competitor you've heard of bolted AI onto infrastructure built decades ago. We built around AI from day one, which is why a small team can do at scale what legacy platforms need armies of account managers to do.\n\nOur AI calls venues in 22 languages, parses 50-page proposals into clean apples-to-apples comparisons, and routes every meeting through approval workflows, including the small ones EAs used to book on their own.\n\nOne Fortune 500 VP uncovered $18M in previously unmanaged meeting spend just by turning Nowadays on.\n\n# **Use Cases**\n\n* Quarterly offsites: for remote-first teams who need to meet all their new employees\n* Leadership retreats: for executive teams running strategic planning sessions\n* Sales kickoffs: with complex AV, F&B, and multi-day programming needs\n* International group travel: we handle the complexity of multi-country logistics end to end\n\n# **Where We Are Now**\n\nWe work with companies ranging from ones planning one epic kickoff a year to ones running thousands of meetings through the platform annually. Clients include Google, Airbnb, BlackRock, Anthropic, Pylon, and Mintlify.\n\nWe've run retreats from San Diego to Thailand, from 20-person leadership offsites to 500+ person company kickoffs.\n\nWe won both judges' choice and people's choice at Business Travel Show America 2025 and Business Travel Show APAC 2026, the two biggest innovation competitions in corporate travel.\n\n# **Why Now**\n\nCorporate travel spend is back and growing. But the infrastructure for planning events hasn't caught up. Legacy travel companies are slow, opaque, and not built for the modern distributed workforce. We're rebuilding this from scratch with AI at the core and a team that treats every event like it's our own.\n\n# **We're growing!!**\n\nWe're hiring across the board for founding team members, engineers, operators, and account executives who want to work on a problem that's genuinely hard and unsolved, with a really fun team in San Francisco.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/6174eee6-ebce-4c88-8465-b443a7584c55)\n\nSee open roles: [nowadays.ai/careers](https://nowadays.ai/careers)\n\n# **Get started**\n\nBook a call: [meetings-na2.hubspot.com/amy-yan](http://meetings-na2.hubspot.com/amy-yan)\n\nEmail us: [events@nowadays.ai](mailto:events@nowadays.ai)\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/ee979b76-ff7a-42cc-99f8-18f3034a7d95)\n\n", "url": "https://www.ycombinator.com/launches/Qrm-nowadays-ai-ai-native-platform-for-corporate-meetings-events", "votes": 6, "created_at": "2026-06-16T13:51:25.690Z" }, { "id": 73488, "title": "🎉 Nowadays: AI copilot for event planning", "tagline": "Take the hassle out of organizing corporate events", "body": "Hi everyone! We’re Anna and Amy, sisters and co-founders of [Nowadays](https://www.getnowadays.com/).\n\n![uploaded image](/media/?type=post&id=73488&key=user_uploads/1374367/8abc167e-68ed-4057-ab7a-4f39e5f961ec)\n\n_From left to right:_\n\n[Anna](https://www.linkedin.com/in/annasun19): Software engineer from MIT, with PM & SWE experiences at DoorDash, Amazon, and Datadog. Organized events for 1300+ students as class president at MIT.\n\n[Amy](https://www.linkedin.com/in/amysunyan/): 7+ years in strategy & operations roles at Google, Meta, and McKinsey. Organized events for 2000+ students as class president at Johns Hopkins.\n\n### **🧨 The Problem**\n\nCorporate event planners are bombarded with endless calls and emails while planning events. Stressing over tight schedules, planners are paying for full-time assistants or tools that cost them $100,000+ a year.\n\nWhat if we could transform this time-consuming and expensive process, making it not just simple, but enjoyable and efficient?\n\n### **🙌🏼 The Solution**\n\nMeet [Nowadays](http://getnowadays.com/), the first AI co-pilot for event planning. Recover hours lost to manual, repetitive tasks, and spend time focusing on what really matters.\n\n**Here’s how it works:** Share event details, and we'll automatically reach out to venues and vendors, manage emails and calls, and stay within budget.\n\n![uploaded image](/media/?type=post&id=73488&key=user_uploads/1347384/482a0ef3-b7e2-4569-bd63-3e15548b608d)\n\n_Want a venue with an onsite golf course? Done ✅_\n\n_Activities within walking distance? Booked ✅_\n\n_Keeping your costs under a certain budget? You got it ✅_\n\nBut that’s not all. Our AI doesn't just offer a one-size-fits-all approach. It adapts to unique tastes and needs, providing a truly personalized event planning experience.\n\nWe're not just offering a tool; we're offering a smarter way to celebrate, connect, and create unforgettable moments.\n\n### **👋 Ask: How you can help**\n\n1. Know anyone planning corporate events (e.g. retreats, happy hours, holiday parties)? We’d love to speak to any event planners, office managers, or executive assistants about their day-to-day experiences. Send any leads to [founders@getnowadays.com](mailto:founders@getnowadays.com). 🙏\n2. Follow along on our journey [here](https://www.linkedin.com/company/getnowadays/)!\n\n### Transform the way you plan events with **Nowadays** **🚀**", "url": "https://www.ycombinator.com/launches/J7I-nowadays-ai-copilot-for-event-planning", "votes": 662, "created_at": "2023-07-27T14:15:04.307Z" } ] }, { "id": 29120, "name": "Morph", "slug": "morph", "former_names": [ "AutoInfra", "Lingtual", "innkeeper" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dedc5ca68422aae62a4f58f3a0823d0903b71997.png", "website": "https://morphllm.com", "all_locations": "Columbus, OH, USA", "long_description": "Specialized inference, built for agent workloads\r\n\r\nFast Open-Source models: Kimi k3, Deepseek v4 flash, qwen 397b, at 200+ tps\r\nSpecialized models for applying edits, code search, compaction, and model routing", "one_liner": "Fast Models Optimized for Coding Agents", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1686706939, "tags": [ "Developer Tools", "Generative AI", "API", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "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/morph", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/morph.json", "year_founded": 2025, "city": "Columbus", "country": "US", "linkedin_url": "https://www.linkedin.com/company/morphllm", "x_url": "https://twitter.com/morphllm", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dedc5ca68422aae62a4f58f3a0823d0903b71997.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": 405977, "full_name": "Tejas Bhakta", "title": "Founder", "founder_bio": "inference thats optimized for agents", "is_active": true, "linkedin_url": "https://linkedin.com/in/tejas-bhakta", "x_url": "https://twitter.com/tejasybhakta", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c6f50e938c0f7e3a90a8e68bbcc0f5d615160f77.jpg" } ], "jobs": [ { "id": 81462, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/morph/jobs/PSesvJB-founding-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80K - $140K", "equity_range": "0.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Growth design" ] }, { "id": 102427, "title": "Member of Technical Staff", "url": "https://www.ycombinator.com/companies/morph/jobs/0Z8vI3K-member-of-technical-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$180K - $350K", "equity_range": "0.40%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 108269, "title": "Kimi K3 on Morph: near-Fable performance at 1/5 the cost", "tagline": "Live on OpenRouter and Vercel's AI Gateway", "body": "Kimi K3 is now live on Morph.\n\n![uploaded image](/media/?type=post&id=108269&key=user_uploads/405977/9bf53656-3db4-42fe-92a9-48a4a412df40)\n\nMost open-weight models look promising in benchmarks, then fall apart in production: unreliable tool calls, weak long-context performance, or inconsistent outputs.\n\nGLM-5.2 and Kimi K3 are the first two I’ve tested that feel genuinely production-ready.\n\nIn our benchmarks, Kimi K3 approaches Fable-level performance at roughly half the cost of Opus. On Morph, it comes with:\n\n* 1M-token context\n* 90–200 output tokens/sec\n* Tool calling and structured outputs\n* OpenAI- and Anthropic-compatible APIs\n\nWe want to see how it performs on real workloads, not toy demos.\n\nIf you currently run Anthropic or OpenAI models in production, we’ll cover the cost of routing 5% of your production traffic to Kimi K3. Compare quality, latency, and cost against your existing model with minimal integration work.\n\nWe’d love brutally honest feedback: where it works, where it breaks, and what it would take for you to route more traffic to it.\n\nTry it here: \n\nComment or DM me if you want us to fund your production test.\n\n![uploaded image](/media/?type=post&id=108269&key=user_uploads/405977/cd809dfe-c7e5-406f-9707-f7c250c7113a)\n\n", "url": "https://www.ycombinator.com/launches/SAH-kimi-k3-on-morph-near-fable-performance-at-1-5-the-cost", "votes": 2, "created_at": "2026-07-29T06:05:58.276Z" }, { "id": 104095, "title": "Reflexes API: Catch what agent logs miss", "tagline": "Most Agent failures are behavioral. Catch them at scale ", "body": "Behavioral observability for AI agents, built and priced to run on millions of production turns.\n\nMost agent failures don’t show up as errors.\n\n![uploaded image](/media/?type=post&id=104095&key=user_uploads/405977/00b2cef4-ce0d-4a93-a145-0209d28eb3a6)\n\n\nThe API returns 200.\\\nThe tool call succeeded.\n\nBut the agent is looping. The user is frustrated. A jailbreak slipped through. The answer technically completed, but the experience failed.\n\nThat is the problem Reflexes solves.\n\nReflexes are fast classifiers that run on every turn of every agent conversation and catch the behavioral signals normal observability misses:\n\n* user frustration\n* infinite loops\n* jailbreak attempts\n* refusals\n* hallucinations\n* task failures\n* policy violations\n* custom signals specific to your product\n\nTraditional observability tells you when software breaks. Reflexes tells you when the agent experience breaks.\n\nThe reason this has not worked before is cost and latency. Frontier-model LLM-as-judge is fine for offline evals, but it is too slow and expensive to run across production traffic.\n\nReflexes are built and priced to run at scale: millions of turns, inline, across 100% of production conversations.\n\nUnder the hood, Reflexes uses a shared backbone with many small heads, so multiple behavioral signals can run on the same conversation without multiplying latency or cost.\n\nYou can use our default reflexes out of the box, or train a custom reflex for the failure modes that matter to your agent.\n\nWe built this after working with production agent teams and seeing the same pattern repeatedly: agents usually fail long before they throw an error.\n\nThey fail in the behavior.\n\nTry Reflexes: ", "url": "https://www.ycombinator.com/launches/R4x-reflexes-api-catch-what-agent-logs-miss", "votes": 5, "created_at": "2026-06-27T14:31:15.899Z" }, { "id": 98898, "title": "FlashCompact: A specialized model for context compaction", "tagline": "33k tok/sec context compaction for coding agents", "body": "We built **FlashCompact** because context compaction is one of the most broken parts of modern coding agents.\n\nRight now, compaction is:\n\n* slow (often 2+ minutes)\n* lossy (kills useful context)\n* expensive (wastes tokens and steps)\n\nSo people avoid it… and agents degrade over time.\n\n---\n\n![uploaded image](/media/?type=post&id=98898&key=user_uploads/405977/77e4cb4f-c326-4f2b-8602-2aca1e0fa9c3)\n\n\n### What we built\n\nA **specialized model for context compaction**:\n\n* **33,000 tokens/sec throughput**\n* **200k → 50k tokens in \\~1.5s**\n* Designed specifically for agent workflows, not general summarization\n\nCompaction should feel invisible. This actually does.\n\n---\n\n### Why this matters\n\nWe analyzed **200+ real agent sessions** across **40+ top coding agent harnesses**.\n\nThe core insight:\n\n> Most context bloat comes from tool responses, not model generation.\n\nThat means naive summarization fails, because it compresses the wrong things.\n\nFlashCompact:\n\n* removes redundant tool output\n* preserves execution-relevant state\n* reduces context without hurting task performance\n\nResult:\n\n* no performance drop\n* fewer tokens\n* fewer steps\n\n---\n\n### The deeper point\n\nAgents don’t fail because models are weak.\n\nThey fail because their **context degrades over time**.\n\nIf you want agents to:\n\n* run longer\n* take more steps\n* stay coherent across complex tasks\n\nYou need **clean, compressed context**.\n\n", "url": "https://www.ycombinator.com/launches/Pj8-flashcompact-a-specialized-model-for-context-compaction", "votes": 6, "created_at": "2026-03-18T14:42:28.223Z" }, { "id": 98329, "title": "WarpGrep v2: Code Search Subagent -> #1 on SWE-Bench Pro", "tagline": "Code search limits coding capabiltiies. Moving it out to a specialized model wins.", "body": "### WarpGrep v2 is a fast code search subagent that works via parallel tool calls. Runs up to 36 grep/read tool calls in under 5s.\n\n![uploaded image](/media/?type=post&id=98329&key=user_uploads/405977/ba17c624-92ca-4502-8c56-00c22e31ad4e)\n\n### SWE-Bench Pro: WarpGrep v2\n\n#### Scores\n\n* Opus 4.6 → 55.4\n* GPT-5.3 Codex → 56.0\n* MiniMax 2.5 → 55.4\n* Opus 4.6 + WarpGrep → **57.5** (**+2.1**)\n* Codex 5.3 + WarpGrep → **59.1 (+3.1)**\n* MiniMax 2.5 + WarpGrep → **57.6** (**+3.7**)\n\n#### Efficiency\n\nTokens:\n\n* Input tokens: **\\~17% less** (Opus, Codex, MiniMax, etc..)\n* Output tokens: **13% less** (fewer turns)\n\nTurns (MiniMax):\n\n* Avg turns per task: **157 → 135**\n\nRuntime (Opus):\n\n* Opus 4.6: **518s**\n* Opus 4.6 + WarpGrep: **545s**\n* **178s saved** (**12% faster**)\n\nCost (Opus):\n\n* Opus 4.6: **$3.06**\n* Opus 4.6 + WarpGrep: **$2.51**\n* **$0.55 saved** (**15.6% cheaper**)\n\n#### TLDR\n\nWarpGrep v2 raises SWE-Bench Pro scores (**+2.1 Opus**, **+3.7 MiniMax**) while using **\\~17% fewer input tokens**, **13% fewer turns**, running **12% faster**, and costing **15.6% less**. The median WarpGrep codebase search takes 5s end to end compared to 75s for the Claude Code Explore subagent\n\nOn normal usage on production repos these numbers improve across the board \\~40% faster\n\n\\\ninstall it in your favorite coding agent here \n\nor integrate it into your product here ", "url": "https://www.ycombinator.com/launches/PZx-warpgrep-v2-code-search-subagent-1-on-swe-bench-pro", "votes": 4, "created_at": "2026-03-02T15:39:58.078Z" }, { "id": 95846, "title": "WarpGrep: A 20x faster subagent to grep for code", "tagline": "50% faster than Cognition's SWE-grep - improve Claude Code or Codex via MCP ", "body": "**Problem**\\\nCoding agents don’t feel fast because they aren’t.\n\nIn our benchmarks, agents spend **60%+ of their time searching for the right code**, not generating any. They why they do more than you want, and break developer flow.\n\nThe bottleneck isn’t “agent intelligence.”\\\nIt’s **speed, context retrieval** and the **irrelevant code** that gets shoved into the prompt.\n\nMost agent stacks today are basically **sequential grep pipelines**:\n\n1. Ask the model where to look\n2. Call a tool\n3. Read output\n4. Repeat 10–20x\n\nIt’s slow, noisy, and compounds latency every step.\n\nWarpGrep is built to do that dirty job correctly and fast.\n\n**Our Insight**\n\n\\*\\*We value human attention.\\*\\*\\\nYou can’t build responsive coding agents until retrieval is treated as its own learning and inference optimization problem.\\\nWe optimized for a simple goal: keep both the developer and the agent inside the sub-10-second “flow window.” Anything slower and usage collapses.\n\n**What we built**\\\nWarpGrep is an RL-trained retrieval model designed specifically to be used as a tool by a coding agent. It operates under a strict budget:\n\n![uploaded image](/media/?type=post&id=95846&key=user_uploads/405977/cbc2f17d-1ff9-4d7c-bfa1-38d3d36b3ac7)\n\n* Up to eight parallel tool calls per turn (grep, glob, file read, semantic search)\n* A reward function that only cares about two things: did it fetch the correct files and did it hit the correct line ranges.\n\nWarpGrep is an expert at deciding what to grep, and what context is relevant for the task. That’s it. This combination reduces context rot by more than fifty percent in production and eliminates the “forty irrelevant files in your prompt” failure mode.\n\n**Performance**\\\nSWE-Grep runs at around 650 tokens per second on Cerebras.\\\nWarpGrep hits around 900 tokens per second on B200.\\\n\\\nWe worked closely with NVIDIA to optimize WarpGrep. CUDA gives us the stability and customization ability to push non-standard inference workloads for parallel search.\n\n![uploaded image](/media/?type=post&id=95846&key=user_uploads/405977/8e04cd3d-9646-4f25-a0f6-96d2a440471b)\n\n**RL Training**\\\nRL for MOEs is notoriously inefficient, so we built infrastructure to eliminate dead time:\n\n* Dedicated inference and training GPU pools, continuous rollout streaming to the trainer\n* Controlled policy staleness without collapsing effective sample size\n* Partial rollout interruption so slow sequences don’t stall sync\n* In-flight weight updates so vLLM workers ingest new weights mid-generation with only millisecond pauses\n\nThose optimizations delivered a 1.6 to 2.35 times training throughput boost with essentially no sample efficiency loss.\n\n**Why this matters**\\\nEvery company building coding agents is running into the same wall.\\\nOnce your agent touches a large codebase, retrieval dominates latency and derails reasoning.\\\nYou solve it by giving the agent a retrieval system that behaves like a specialist, not a bottleneck.\n\nIf you want an agent that actually performs on large codebases, doesn’t have crippling context rot, and stays within real-time latency, reach out!\n\nhttps://docs.morphllm.com/api-reference/endpoint/mcp\n\nhttps://docs.morphllm.com/sdk/components/warp-grep", "url": "https://www.ycombinator.com/launches/Ovu-warpgrep-a-20x-faster-subagent-to-grep-for-code", "votes": 17, "created_at": "2025-11-28T19:27:09.731Z" }, { "id": 90352, "title": "Morph: The \"other models\" you need to build coding agents like Cursor", "tagline": "Instantly apply AI output into code and files (5000+ tok/sec). Build your own coding agents. ", "body": "**TLDR: Morph: the “other models” you need to build the best coding agents like Cursor and Windsurf.**\n\n**Retrieve and rerank code, stuff context, and apply edits to files FAST. Relevant context, fast applies, every time.**\n\n**Morph Apply:** The fastest way to apply updates from Claude, GPT-4o, and others into any file - codebases, docs, etc - 5000+ tok/sec\n\n[Try API for Free →](https://morphllm.com/dashboard)\n\n![uploaded image](/media/?type=post&id=90352&key=user_uploads/405977/887a632b-bd61-4ace-9af5-d6abc166c319)\n\n> Benchmarked on a 9,000 token file, \\~2 seconds\n\n# **The Problem**\n\nThere’s no good way to apply edits that models want to make into files. Outputting the full file again is slow and expensive. Diff/Patch edits are brittle and a poor product experience.\n\nIn a production setting, AI agents need to update thousands of files. What about when you have a 50k token docx to update? Or when you need to be world-class at retrieving relevant info from a 500+ file repo?\n\n# **Solution:**\n\nMorph is the foundational infrastructure for AI Coding Agents that **_work and feel amazing_** _-_ not a quick demo.\n\n**~~Tired~~**~~: Chunked RAG and having Claude re-output full files~~\n\n**Wired**: Syntax-aware embeddings, reranking, and Fast Apply models = the perfect product experience\n\n**Cursor and Windsurf _roughly_ do this:**\n\n1. For a query, search for top-k relevant embeddings.\n2. Re-rank the corresponding content with a re-ranking model → stuff prompt using Claude/Gemini tool calls\n3. Use Claude/Gemini to generate small, focused changes\n4. Use a Fast Apply model to apply those changes back to the original file\n\n**We provide:**\n\n**Morph Apply**: _Fast Apply_ model: Merge updates from GPT-4o, Claude, and others into your files in under 2s (5000+ toks/second) \\\n**Morph Embeddings:** Syntax-aware embeddings, built for code\n\n**Morph Reranking:** Rerank functions/classes or file snippets to stuff your context with only the relevant context - every time.\n\n[Try it Now →](https://morphllm.com/dashboard)\n\n**Morph SDK:** Intelligently watch for file changes + smarter embeddings.\n\n![uploaded image](/media/?type=post&id=90352&key=user_uploads/405977/20ff3242-a426-4ec3-8c62-4e8633a5cc74)\n\n> Morph Fast Apply dropped errors by 8x vs. patch-based edits in our internal IDE and worked on our largest files - **Staff Eng @ Fortune-50**\n\nIf you’re building the Cursor for \\__\\_, or building agents that modify code:\n\nEmail us: [info@morphllm.com](mailto:info@morphllm.com)\n\n[Grab a Time Here](https://calendar.app.google/PW4nayCdGanN9iEKA)\\\nGet Started for Free: https://morphllm.com\n\n[Self Host Morph](https://morphllm.com/blog/self-hosting)", "url": "https://www.ycombinator.com/launches/NVI-morph-the-other-models-you-need-to-build-coding-agents-like-cursor", "votes": 31, "created_at": "2025-05-13T16:56:19.950Z" } ] }, { "id": 29121, "name": "Constructable", "slug": "constructable", "former_names": [ "No-Idea", "Jem", "Superset OS" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9d0ff3f692bfb08031dfe4107b5c7695d63a7d30.png", "website": "https://www.constructable.ai/", "all_locations": "Santa Barbara, CA, USA", "long_description": "Constructable is the modern alternative to Procore, Autodesk, and Fieldwire. We help mid-size general contractors manage the entire lifecycle of a commercial project from bidding to closeout.\r\n\r\nWith Constructable, teams can accelerate field, project, and financial management in one intuitive system. RFIs, submittals, drawings, daily logs, punch lists, change orders—everything lives in one place, with AI-powered search to find answers instantly.\r\n\r\nGCs and builders across the U.S. and Canada are already running smoother projects on Constructable.\r\n\r\nLearn more at constructable.ai", "one_liner": "Building the next Procore", "team_size": 6, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1690913303, "tags": [ "SaaS", "Construction", "B2B", "Productivity", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Real Estate and Construction", "Construction" ], "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/constructable", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/constructable.json", "year_founded": 2023, "city": "Santa Barbara", "country": "US", "linkedin_url": "https://www.linkedin.com/company/constructableapp", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9d0ff3f692bfb08031dfe4107b5c7695d63a7d30.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/06f6d7b7738c240ac104a14aea1da7e34f5e616c.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d9b27270e91087df9f210676fea0429f8cd0849b.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1393936, "full_name": "Emma Nazim", "title": "Founder", "founder_bio": "I am a co-founder and CEO at Constructable. Previously I was a VP of Product at Appfolio and led the product team for Appfolio Investment Manager from 0 to 1500 customers. I love working with customers and building vertical software, but outside of that, you can find me making mugs and bowls where no two ever look the same.", "is_active": true, "linkedin_url": "https://linkedin.com/in/emmamedjuck", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4574159362e7a87c20a3b181e6d7fd5bef5aac43.jpg" }, { "user_id": 1401911, "full_name": "Molly Abbott", "title": "Founder", "founder_bio": "I am a co-founder and CPO at Constructable. Since 2010, I have had the privilege to work along side amazing leaders in Product, Operations and Partnerships at both Mindbody and AppFolio. Growing up in a construction family, and then marrying into one, I'm excited to be in both tech and construction. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/molly-abbott-41b03037", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/baa58c8d1ebd4f3c386bd9ab68d104583bf6663d.jpg" }, { "user_id": 1401905, "full_name": "John Yoder", "title": "Founder", "founder_bio": "I am a co-founder and CTO at Constructable. Prior to this, I was the VP of Engineering for AppFolio Property Manager where I grew the team from 65 engineers to 250 engineers over 4 years. I am most satisfied when my team can hear the joy in a customer's voice because of something we accomplished together.", "is_active": true, "linkedin_url": "https://linkedin.com/in/john-yoder-92595985", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/052caf905a556bf74bf97c2691c9778df2d8894f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94471, "title": "Constructable - Modern Construction Management Software", "tagline": "Constructable is an all-in-one construction management software for mid-size general contractors who are tired of outdated, clunky, and overpriced solutions.", "body": "**TLDR:** [Constructable](https://constructable.ai/) is a field, project, and financial management software for mid-size GCs whose projects are too complex to manage over email and shared drives, but who are frustrated with the complexity and pricing of Procore and Autodesk. Constructable supports every stage of a commercial project, from bidding to close out, with powerful tools and intuitive workflows.\n\n# \n\n# **The Problem**\n\nCommercial general contractors spend too much time on administrative work in legacy platforms, using only a fraction of the features they pay for, and still relying on point solutions to handle everyday tasks.\n\n# \n\n# **The Solution**\n\n[Constructable](https://constructable.ai/) brings field, project, and financial management together in one fast, intuitive platform. Teams can manage bidding, active construction, and financial closeout in a single system. \n\nWe’ve already helped top construction companies across the US and Canada migrate off of incumbent solutions they found slow, hard to use, and not worth the price tag. To date, Constructable has powered over 500 construction projects. Over the past year we’ve expanded Constructable so it’s robust enough to support $60M+ projects, while still being intuitive and easy to use in the field and the office.\n\n# \n\n# **How We’re Different**\n\n**Collaborate right on the plans** - Share markup and comments with specific people or  publish to the full team, so you can keep coordination documented right on the drawings instead of buried across email threads.\n\n![uploaded image](/media/?type=post&id=94471&key=user_uploads/1393936/cc5fd0c7-4302-461c-aa61-50f88ba01fbf)\n\n\\\n\\\n**Quickly review drawings all in one place** - Overlay any two sheets, compare sheets side by side, get measurements and takeoffs without exporting to other tools, and flip through hundreds of sheets without waiting for them to load.\n\n![uploaded image](/media/?type=post&id=94471&key=user_uploads/1393936/d50e11ec-c723-4a84-ba0b-9d440845f774)\n\n\\\n\\\n**Built-in search and Q&A** - Find answers instantly across all your data. We make everything searchable including your photos and scanned documents.\n\n![uploaded image](/media/?type=post&id=94471&key=user_uploads/1393936/dd20ff09-afa9-4294-b47b-bca3bce7d86d)\n\n\\\n\\\n**AI and automations that save real time** - Copy a door schedule from the drawings to a spreadsheet with one click, fill in punch list items as you narrate, automatically organize bids sent to your email, and so much more.\n\n![uploaded image](/media/?type=post&id=94471&key=user_uploads/1393936/b7b37a44-77ec-4108-b524-1a06b613fe1f)\n\n\\\n\\\n**Built on modern software practices** - No more loading spinners, waiting for an email to get your PDF download, or refreshing the page to see what’s changed. Everything updates in realtime.\n\n**Pricing that’s straightforward** - Get unlimited projects, users, and construction volume for one flat monthly subscription.\n\n# **Our Customers**\n\nWe’ve seamlessly migrated companies to Constructable from Procore, Autodesk, Fieldwire, and Buildertrend. Here’s a quote from a customer on how it’s gone:\n\n> The transition to Constructable was very smooth. The tools are so user friendly that our team and our trade partners were up and running in no time.\n\n_- Jordyn Nelson Fox, Holladay Construction Group_\n\n# **Ask**\n\nKnow any general contractors? Send them the link to our launch or [website](http://constructable.ai). Thanks for the support!", "url": "https://www.ycombinator.com/launches/OZj-constructable-modern-construction-management-software", "votes": 40, "created_at": "2025-10-08T14:29:13.711Z" }, { "id": 73724, "title": "🏗️ Constructable - The AI copilot for construction teams", "tagline": "We integrate construction management tools, email, chat, and documents to create an AI powered knowledge-base for construction projects", "body": "**_Tl;dr:_** _Constructable aggregates documents and communication from multiple sources so construction teams can answer questions quickly and accurately about their projects, saving them critical time and preventing costly mistakes._\n\nHi everyone,\n\nWe are [John](https://www.linkedin.com/in/john-yoder-92595985/), [Molly](https://www.linkedin.com/in/molly-abbott-41b03037/), and [Emma](https://www.linkedin.com/in/emmamedjuck/), former proptech product and engineering leaders and the team behind [Constructable](https://www.constructable.app/). We’re on a mission to give everyone on a construction project the information they need at their fingertips to deliver a project safely, accurately, and efficiently.\n\n## **🧨 The Problem**\n\n**Construction teams are spending too much time digging through data spread out in many places**\n\nConstruction projects are complex and constant change means a single project will have a huge amount of documentation. Take the San Francisco team we’re working with that just finished a major 3-year project. By the end of the project, they had a 2000-page plan that had changed hundreds of times, 2300 change orders, and thousands of bids, RFIs, and submittals going back and forth between the general contractor, developer, architect, engineers, and 93 specialty contractors. The team spent hours each week trying to find information across email, Procore, chat conversations, and document management systems.\n\nLook at all the folders one of our customers has for just 1 project!\n\n![uploaded image](/media/?type=post&id=73724&key=user_uploads/1393936/d805b330-519c-4775-a2c5-c6699a58a99c)\n\n**Not finding accurate information quickly can be detrimental to a project**\n\nMany teams waste time and hire additional people to sort through data and search for the answers they need, yet still mistakenly use outdated or incorrect information. A [**study**](https://www.constructiondive.com/news/contractors-lost-18-trillion-globally-in-2020-due-to-bad-data-new-report/606939/) by FMI found that “bad data” – including data that is inaccessible, inconsistent, or untimely  – **cost the global construction industry $1.85 trillion** in 2020. Operating off of outdated plans or missing information can lead to costly delays, expensive re-work, and in the worst cases can cause dangerous conditions for the crews on the ground.\n\n## **✨ Our Solution**\n\nConstructable is the central place to find any information and get questions answered about a construction project. We aggregate documents and communication from file management systems like OneDrive and Dropbox, construction management software like Procore and Autodesk, email, and chat apps and make it quick for teams to answer any question and find the relevant documentation.\n\n![uploaded image](/media/?type=post&id=73724&key=user_uploads/1393936/9318d182-f037-4d41-a7cd-f6f4a7a90581)\n\nConstructable makes it easy to:\n\n* Compare bids from multiple specialty contractors and see if they are missing key components in their bid\n* Find the most recent steel plan and highlight what has changed since the last revision\n* See RFIs that have been outstanding for more than 2 weeks and the contact information of the requestee\n* Find the change order that involved adding an additional wall to the lobby, link to the before and after plans, and list the difference in takeoffs because of the change\n* Get the schedule of all specialty contractors working the following week and which supplies are still on backorder for each contractor\n* Get data from the appliance manuals needed for maintenance teams once the project is delivered\n\n## **The Team**\n\n![uploaded image](/media/?type=post&id=73724&key=user_uploads/1393936/05c0d913-f492-43de-babd-97f415d5c860)\n\nWe spent the past 10 years working together at Appfolio (Nasdaq: APPF), where Emma was a VP of Product, John was a VP of Engineering, and Molly was a product growth leader. We loved supporting the businesses that provide millions of people with exceptional living and workplace experiences and we’re excited to bring our experience to empower today’s builders to construct tomorrow’s communities.\n\nMolly has first-hand experience in the world of construction. Her dad, husband, and brother-in-law are general contractors and specialty contractors and she previously worked for a large specialty contractor. She’s experienced the chaotic highs and lows that go into completing a large project, which has fueled her passion to bring new technology to the industry.\n\n## **👋 Ask:**\n\nConnect us to general contractors, owner’s reps, large specialty contractors, or developers. We’d love to get their feedback! Pass along our [website](https://www.constructable.ai) or send us an email, [founders@constructable.app](https://mailto:founders@constructable.ai). We appreciate the support!", "url": "https://www.ycombinator.com/launches/JB6-constructable-the-ai-copilot-for-construction-teams", "votes": 64, "created_at": "2023-08-02T18:23:44.705Z" } ] }, { "id": 29122, "name": "Wattson Health", "slug": "wattson-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e4ba866a12de96b32ebc06498d98a4722760e680.png", "website": "https://www.wattsonhealth.com", "all_locations": "", "long_description": "Wattson Health’s AI agents connect with customers over the phone and SMS. Give us your busiest tasks and we’ll train our agents to take them off your hands.", "one_liner": "AI Voice and SMS Agents for Healthcare", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1690480394, "tags": [ "SaaS", "Healthcare", "Healthcare IT", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "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/wattson-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/wattson-health.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/wattson-health/", "x_url": "https://twitter.com/wattsonhealth", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e4ba866a12de96b32ebc06498d98a4722760e680.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ac98a0a1f434b9f74b46ca851a2d64bfddc3ef9f.png" ], "primary_partner": null, "founders": [ { "user_id": 337920, "full_name": "Justin Spitz", "title": "Founder", "founder_bio": "Justin is currently the CEO & co-founder of Wattson Health (YC S23). Previous work includes Head of Ops @ Maximus, Strategy @ Google, & Analytics @ Dropbox. Outside the office, he's an avid swimmer, basketball fanatic, fantasy football commissioner, points & miles enthusiast, & spicy food addict.", "is_active": true, "linkedin_url": "https://linkedin.com/in/justin-spitz", "x_url": "https://twitter.com/jspitz_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4436851fd22cc5c1543813ae3e6f229f5345ebdc.jpg" }, { "user_id": 10489, "full_name": "Cleophus Robinson IV", "title": "Founder", "founder_bio": "Cleo is currently the CTO & co-founder of Wattson Health (YC S23). Previously worked at YouTube driving engagement and satisfaction metrics for key emerging markets, shorts and gen z. At L3 he created a new driver framework for controlling devices on naval vessels. Outside of work, he enjoys being competitive in sports and games; traveling, cooking, concerts and creating music.", "is_active": true, "linkedin_url": "https://linkedin.com/in/cleor41", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/10ac724420b0aafcb73bbef39a747217867eea2a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73874, "title": "Wattson Health 💊 Pharmacy automation to increase RX throughput & accuracy", "tagline": "Connecting fragmented pharmacy systems & automating high error-prone tasks", "body": "**TL;DR:** [**Wattson Health**](https://www.wattsonhealth.com/)**’s automation platform integrates with pharmacies' existing systems and enables them to fill prescriptions error-free in a matter of seconds vs. hours or even days.**\n\n### **THE PROBLEM**\n\nMedication errors cost the healthcare industry $40 billion each year, the largest contributor being the manual processes employed by pharmacies. Software development within the pharmacy space has lagged behind other industries. Pharmacies are often saddled with old technology systems that don’t talk to each other. The result is a lot of duct-taped manual solutions in order to fill prescriptions. Entire teams are needed to be hired for data entry and review, costing pharmacies time and money.\n\n### **THE SOLUTION**\n\n[Wattson Health](https://www.wattsonhealth.com/)’s automation platform integrates seamlessly with existing pharmacy software to manage the “prescription lifecycle.”\n\n![uploaded image](/media/?type=post&id=73874&key=user_uploads/337920/71c08cbd-6fc0-4463-accf-f8e2da0cdb35)\n\n* As orders come in, we parse, process, and apply any **auto-curated rules** necessary to progress orders from A to Z in a matter of seconds vs. hours or even days.\n* We run in the background and provide **real-time analytics** and reports.\n* Our **bi-directional APIs** finally provide patients, doctors, and clinics with transparency into the mysterious fulfillment process.\n\n### **THE TEAM**\n\n![uploaded image](/media/?type=post&id=73874&key=user_uploads/337920/6c8b1f3f-f71d-4440-918d-d3b836399f5e)\n\nWe both lived down the hall from each other in our freshman dorm at Stanford back in 2010. Much of our early friendship focused on competitive Super Smash Bros. games (on N64 of course), so much so that we built a robust tracking app to record our matches. Over the last 13 years, we’ve remained close friends and have loved hacking on projects together.\n\n[@Justin Spitz](https://www.linkedin.com/in/justin-spitz/) spent the last 3 years as the first employee of Maximus, a telemedicine startup, scaling it from $0 to $11M in ARR. He saw first-hand how difficult it was to work with pharmacies and built internal tools to streamline operations.\n\n[@Cleophus Robinson IV](https://www.linkedin.com/in/cleor41/) spent the last 6 years at Google & YouTube designing infrastructure and pipelines to facilitate data propagation. He is an expert at building AI/ML models to influence user behavior.\n\nWith Justin’s experience working with pharmacies and Cleo’s background in data pipelines and infrastructure, we’re excited to double down on our skill sets to bring Wattson Health to life.\n\n### **THE ASK**\n\nIf you fall into one of the categories below or know anyone that does, **please reach out**, **introduce us**, or [request a demo](https://www.wattsonhealth.com/) directly on [our website](https://www.wattsonhealth.com/):\n\n* Pharmacy owners, pharmacists, pharmacy techs, etc.\n* EMR/EHR (Electronic Medical/Health Record) companies\n* Telemedicine companies / online clinics\n\nFollow us on [LinkedIn](https://www.linkedin.com/company/wattson-health/) & [𝕏 (Twitter)](https://twitter.com/WattsonHealth) to stay updated – thank you!", "url": "https://www.ycombinator.com/launches/JDW-wattson-health-pharmacy-automation-to-increase-rx-throughput-accuracy", "votes": 113, "created_at": "2023-08-07T18:16:22.231Z" } ] }, { "id": 29123, "name": "Glide", "slug": "glide-2", "former_names": [ "WalletKit" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d1c76d50e7b1ba3c361d312f4e312c3e5f8f54b3.png", "website": "https://buildwithglide.com", "all_locations": "New York City, NY, USA; Remote", "long_description": "Glide lets apps accept crypto deposits from any chain, wallet, or exchange using pre-built wallet funding flows. Users can fund wallets directly — no bridges, no swaps, no repeated KYC.", "one_liner": "Crypto Deposits, Wallet Funding, and Pay-with-crypto Infra", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1689702823, "tags": [ "Developer Tools", "Crypto / Web3", "B2B", "API", "Infrastructure" ], "tags_highlighted": [ "Crypto / Web3" ], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/glide-2", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/glide-2.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/paywithglide", "x_url": "https://twitter.com/tusharsoni1205", "fb_url": null, "cb_url": null, "github_url": "https://github.com/usewalletkit", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d1c76d50e7b1ba3c361d312f4e312c3e5f8f54b3.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": 139706, "full_name": "Tushar Soni", "title": "Founder", "founder_bio": "Co-founder, CEO @ Glide (buildwithglide.com)\n\nPrior to starting Glide, I was a tech lead at Robinhood Crypto building the Robinhood Wallet app. Previously, I worked on large-scale consumer apps such as Uber Eats, Apple Music, and App Store.\n\nI also created and maintain Copper (https://gocopper.dev) - a fullstack toolkit to build web apps in Go.", "is_active": true, "linkedin_url": "https://linkedin.com/in/tusharsoni", "x_url": "https://twitter.com/tusharsoni1205", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4eaba884107d19c2cd6d94abab93483bc503a360.jpg" }, { "user_id": 1440060, "full_name": "Qinyu Tong", "title": "Founder", "founder_bio": "I'm the co-founder at WalletKit building the best developer platform for web3 consumer app developers. Prior WalletKit, I was at Robinhood Crypto building the Robinhood Wallet. Previously, I worked at LinkedIn on enterprise infra such as Ads API, AI Infra. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/tongqinyu", "x_url": "https://twitter.com/qtofrivia", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/111d623f397ce92074da29e898a8e59f7e8bd78f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73221, "title": "WalletKit — Developer platform for building consumer-friendly web3 apps", "tagline": "Build web3 apps with wallets, tokens, and NFTs using simple HTTP APIs", "body": "**_⏳ TLDR;_** WalletKit is a developer platform, that helps you build decentralized apps without any crypto knowledge. It is best used for building user-friendly consumer apps aimed at mass adoption. Come talk to us if you’re building in this space or if you’re curious about adding decentralized features to your product.\n\nHey everyone! This is [**@Tushar Soni**](https://bookface.ycombinator.com/user/139706) and [**@Qinyu Tong**](https://bookface.ycombinator.com/user/1440060) from [**@WalletKit**](https://bookface.ycombinator.com/company/29123), and we are super excited to tell you what we’ve been working on.\n\n![uploaded image](/media/?type=post&id=73221&key=user_uploads/139706/1b7b6d81-ebee-42dd-a5bf-c926342dc9d6)\n\n---\n\n### **🤔 Problem**\n\nCrypto has gone through several ups and downs in its decade-long history. However, we have yet to build meaningful use cases outside of trading. There are a few reasons that are slowing us down:\n\n1. **Low Adoption**: People find crypto products hard to use, confusing, risky, or scammy. We believe this is because it is incredibly difficult to build trusted brands and high-quality user experiences that everyone has come to expect from the products they use.\n2. **High Complexity**: Blockchain is a collection of really complicated technology and building consumer products directly on top of it will take a lot of expertise and a long time.\\\n Imagine trying to build a Rewards & Loyalty Program - you have to pick a chain, work with smart contracts, figure out how users will manage their wallets, handle transactions, reorgs, gas management, and so much more. You have to do this while making sure everything is done securely so you and your users don’t lose their digital assets.\n3. **Developer Tooling**: The popular developer platforms are too low-level. They are usually a mirror of Blockchain Node APIs aimed at node operations, not building consumer apps.\n\nOur goal is to elevate the developer experience for building decentralized consumer apps and enable builders to focus on their use case, not blockchain infrastructure.\n\n---\n\n### **🔧 Solution**\n\nWe are rethinking how to build decentralized apps by providing engineers with simple high-level abstractions to create amazing products.\n\nWalletKit wraps popular blockchain building blocks into easy-to-use HTTP APIs. Today, we support building with wallets, tokens, and NFTs.\n\n![uploaded image](/media/?type=post&id=73221&key=user_uploads/139706/77b906df-a7b3-4387-ad5f-43630e739bdf)\n\nWe took it a step further with WalletKit Dashboard - a digital asset management tool for your app-related digital assets. Use WalletKit Dashboard to create wallets, tokens, mint NFTs, make transfers, and interact with user wallets.\n\n![uploaded image](/media/?type=post&id=73221&key=user_uploads/139706/feafd2f1-3d58-493f-bc5e-3ee76bf2f14e)\n\n---\n\n### **👽 Founders**\n\nQinyu and I met at Robinhood, where we led the Web3 team responsible for building Robinhood Wallet. We experienced firsthand the lack of tools and infrastructure needed to build a consumer-friendly product.\n\nIt became clear to us that this gap in infrastructure is holding back the entire community from creating amazing products that have a chance at mass adoption. It acts as a barrier for founders to build decentralized products. WalletKit aims to remove this barrier entirely.\n\n---\n\n### **🤝 Ask & Deal**\n\nConnect us with founders/builders who are building decentralized apps or want to add decentralized features! Feel free to send an intro email to [**tushar@usewalletkit.com**](mailto:tushar@usewalletkit.com). We would love to help out.\n\nFor all YC companies and connections that come through the YC network, we offer a white-glove service and discounted rates :)", "url": "https://www.ycombinator.com/launches/J2z-walletkit-developer-platform-for-building-consumer-friendly-web3-apps", "votes": 31, "created_at": "2023-07-19T15:30:20.915Z" } ] }, { "id": 29124, "name": "Onward", "slug": "onward", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ae5e783591dc54d6ad178b3ce7591e1a0494b4c3.png", "website": "", "all_locations": "", "long_description": "Onward is a new take on conversational intelligence. We streamline follow-ups, CRM updates, ticket creation, and other tasks after every meeting—helping you connect this knowledge to the rest of your tools.", "one_liner": "Intelligent meeting automation for ambitious teams.", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1690408341, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B", "Productivity" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/onward", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/onward.json", "year_founded": 2021, "city": null, "country": null, "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ae5e783591dc54d6ad178b3ce7591e1a0494b4c3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 585552, "full_name": "Nikolas Huebecker", "title": "Founder", "founder_bio": "Building software that sets a new standard for service on the internet. Previously founded Onward (S23) and led the product team at Midjourney.", "is_active": false, "linkedin_url": "https://linkedin.com/in/nhuebecker", "x_url": "https://twitter.com/nhuebecker", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef44a20ef66e139d70f61bd9105335f3c81bb25e.jpg" }, { "user_id": 233084, "full_name": "Coleman Oates", "title": "Founder", "founder_bio": "Building software that sets a new standard for service on the internet. Previously founded Onward (S23) and scaled hospitality at Chick-fil-A.", "is_active": false, "linkedin_url": "https://linkedin.com/in/colemanoates", "x_url": "https://twitter.com/colemanoates", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e3e5b52afcf936597f28bb647589e9b760495861.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 74311, "title": "⚡ Onward – Meeting automation for ambitious teams", "tagline": "Streamline your meetings + automate your action items, instantly.", "body": "👋 Hey everyone - we’re Nikolas and Coleman from [Onward](https://onwardhq.com/?utm_source=yc&utm_campaign=launchyc).\n\n### **🏆 TL;DR:**\n\n[Onward](https://onwardhq.com/?utm_source=yc&utm_campaign=launchyc) is a new take on meeting automation software. We streamline follow-ups, CRM updates, ticket creation, and other tasks after every customer meeting.\n\n✨ [Get in touch](https://onwardso.typeform.com/to/XXZDRCQq) with us, and we'll talk through your current workflows, share insights from high-performing teams, and give you a white-glove onboarding experience.\n\n![uploaded image](/media/?type=post&id=74311&key=user_uploads/585552/b80b26d8-3cbb-49ba-ae2a-7f6d95ecb1f3)\n\n### **🎉 Our Story**\n\n![uploaded image](/media/?type=post&id=74311&key=user_uploads/585552/d2bbd5df-f14e-42f4-8d4a-db0e18892226)\n\nWe're Nikolas and Coleman. We built our first AI automation product together in middle school and have worked alongside each other ever since.\n\nWe started Onward shortly after Nikolas left Midjourney to help teams spend more time on the thing that matters most: supporting their customers.\n\n### **🤔 The Problem**\n\nWe have spent the past couple of years talking with hundreds of sales and support leaders. One thing has become quite clear: face-to-face interaction is the most effective way to acquire and retain customers. However, the time spent in and around meetings has become a bottleneck for organizations.\n\nHere's why:\n\n1. **Every meeting creates more work for us to do**, and less time to do it. In the end, the highest leverage interactions become the hardest to scale.\n2. Today's tools are disconnected from our conversations, meaning **knowledge workers lose around 30% of their day due to meetings and the subsequent work that follows**, such as communication, synthesis, and data entry tasks – often long after the call has happened and the context is fresh.\n\n### **✨ Our Solution**\n\nWe offer a seamless, end-to-end meeting automation platform.\n\n1. **Connect calls with one click.** We integrate with all live communication platforms (Zoom, Meet, Teams, Slack) and import these interactions directly into our platform.\n2. **Instantly synthesize interactions.** We analyze your calls, extract summaries and key moments, and identify action items and commitments, ensuring that nothing is overlooked.\n3. **Enrich and automate action items.** We automate your work by automatically drafting emails 📧, populating CRMs ✨, creating tickets 🔔, tracking commitments ✅, sending event invites 📅, and creating reminders 💬 – all within the context of your interactions.\n\nThis helps teams scale their human touch, allowing them to remain front and center while Onward streamlines the 30% of their day spent on repetitive tasks.\n\n### **🙏 Our Ask**\n\n**Intro us to Revenue leaders:** If you or anyone else in your network spends hours each week in repetitive meetings (such as demos, sales calls, interviews, etc.), we would love to connect. Please make a warm intro to [coleman@onwardhq.com](mailto:coleman@onwardhq.com)!\n\n**Interested in early access?:** [Get in touch](https://onwardso.typeform.com/to/XXZDRCQq), and we'll talk through your current workflows, share best practices from high-performing teams, and give you a white-glove onboarding as early as this week.", "url": "https://www.ycombinator.com/launches/JKZ-onward-meeting-automation-for-ambitious-teams", "votes": 92, "created_at": "2023-08-22T18:04:42.652Z" } ] }, { "id": 29125, "name": "truemetrics", "slug": "truemetrics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6cd7b0f7663e8989ac828e2eeebe6e1968813d3.png", "website": "https://www.truemetrics.io/", "all_locations": "Berlin, Berlin, Germany", "long_description": "truemetrics helps logistics companies to find their customer's faster. By detecting and mapping entrances, we help GLS, a key logistics company in Europe, save 32.7 seconds on each delivery.\r\n\r\nThe way couriers navigate is broken.\r\n\r\n“You Have Arrived At Your Destination!” — or so Google Maps thinks. In reality, the way couriers navigate is broken: No parking, hard-to-find entrances, and labyrinth-like apartment and office complexes can turn the last meters of delivery into a time-consuming puzzle.\r\n\r\ntruemetrics provides parking positions and entrance locations to enable faster drop-offs. Our data is generated by analyzing sensor data from drivers' smartphones, allowing truemetrics to identify precise parking and entrance locations, thereby simplifying the last meters of delivery.\r\n", "one_liner": "We show couriers where to park and enter a building.", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1688493255, "tags": [ "Delivery", "Logistics", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "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/truemetrics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/truemetrics.json", "year_founded": 2021, "city": "Berlin", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/truemetricsio", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6cd7b0f7663e8989ac828e2eeebe6e1968813d3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1019217, "full_name": "Ingo Boegemann", "title": "Founder", "founder_bio": "Studied mechanical engineering at the technical university of Hamburg and at UC Berkeley\nWorked in tech consulting for almost 10 years with a focus on supporting classical European tech companies (automotive, aerospace, etc. ) \nFounded my own consulting company which I exited to a competitor in 2020\nStarted working on sensor fusion technologies which are part of truemetrics core tech stack in 2020\nIn my free time I love to the outdoors, especially camping and surfing", "is_active": true, "linkedin_url": "https://linkedin.com/in/ingo-boegemann-a78800bb", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/73cf0926ae6f86b6c2e562ab1072b7e7f023cb2f.jpg" }, { "user_id": 1372422, "full_name": "Jan Bischof", "title": "Founder", "founder_bio": "Jan Bischof is a highly skilled and accomplished software engineer with a strong background in artificial intelligence research. With a passion for developing innovative solutions, Jan has a proven track record of designing and implementing cutting-edge algorithms and software systems. He possesses excellent problem-solving abilities and a deep understanding of machine learning techniques, making him a valuable asset in the field of AI and software development. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/jan-bischof", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7f49658ac12d4a60e2bdb8e5ce62ded4c8e0d66a.jpg" } ], "jobs": [ { "id": 113238, "title": "GTM Founder's Associate", "url": "https://www.ycombinator.com/companies/truemetrics/jobs/THLEzXI-gtm-founder-s-associate", "location": "Berlin, BE, DE / Berlin, Berlin, DE", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "€50K - €60K EUR", "equity_range": "0.10% - 0.50%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 74016, "title": "truemetrics - helping logistics companies deliver to their customer’s doorstep", "tagline": "truemetrics provides logistics companies with precise delivery coordinates to guide couriers to their customer's doorstep.", "body": "### **_TL;DR_**\n\ntruemetrics provides logistics companies with precise delivery coordinates to guide couriers to their customer's doorstep. Our tech enables GLS, one of Europe’s biggest logistics companies, to speed up their deliveries by 2-10 minutes.\\\n\\\nHi! We are Ingo, Jan, and David and we believe that **the way how couriers navigate is broken.**\n\n![uploaded image](/media/?type=post&id=74016&key=user_uploads/1295475/c9886fc5-f687-4973-b936-d2a54ddae884)\n\n“You Have Arrived At Your Destination!” — or so Google Maps thinks. In reality, the way couriers navigate is broken: No parking, hard-to-find entrances, and labyrinth-like apartment and office complexes can turn the last meters of delivery into a time-consuming puzzle.\n\n### **Solution**\n\n![uploaded image](/media/?type=post&id=74016&key=user_uploads/1295475/58631705-41f1-4a39-8f74-075582b6bdcb)\n\n\n[truemetrics](https://truemetrics-26059762.hs-sites-eu1.com/en/product-presentation) provides parking positions and entrance locations to enable faster deliveries. Our data is generated by analyzing sensor data from drivers' smartphones, allowing truemetrics to identify precise parking and entrance locations, thereby simplifying the last meters of delivery.\n\n### **Team**\n\nDuring his management of Wolt's operations in three of Germany's four regions, David often faced challenges with inefficiencies in the last 50 meters of delivery. Together with Jan and Ingo, he started truemetrics to overcome these problems. Ingo contributes 10 years of engineering and entrepreneurial experience, along with a successful exit. Jan Bischof holds a PhD in Control Theory and has developed software and AI solutions for nearly a decade.\n\n### **Ask: How you can help**\n\n* [Please connect us with COOs and CTOs from your network!](https://mailto:david@truemetrics.io)\n* We would be happy to hear your feedback! [Discover the biggest address fuck-ups](https://www.demonstrator.truemetrics.cloud/map) and share with us [your favourite navigation mishaps](https://forms.gle/ugDzhR6YTWfMdWaM9).", "url": "https://www.ycombinator.com/launches/JFo-truemetrics-helping-logistics-companies-deliver-to-their-customer-s-doorstep", "votes": 27, "created_at": "2023-08-10T21:49:21.358Z" } ] }, { "id": 29128, "name": "Olio Labs", "slug": "olio-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6cb70c7b1c00797475c860562acfdb3a164629b8.png", "website": "https://oliolabs.co/", "all_locations": "Remote", "long_description": "Olio labs uses AI to develop combination therapeutics that consider the thousands of interacting proteins in your body rather than targeting just one or two. Their lead combinations target obesity and are more effective with fewer side effects than Ozempic, the fastest growing drug of all time. Their custom ML built from real-world expertise and cutting edge AI searches trillions of combinations to find the perfect one.", "one_liner": "Combination therapeutics for the world's toughest diseases", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Drug Discovery and Delivery", "launched_at": 1689797916, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Drug Discovery and Delivery" ], "regions": [ "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/olio-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/olio-labs.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/olio-labs/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Olio-Labs/olio", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6cb70c7b1c00797475c860562acfdb3a164629b8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1288444, "full_name": "David Tingley", "title": "Founder", "founder_bio": " David has over 13 years of experience as a systems neuroscientist and biologist. His interest in systems biology led him to earn a PhD in Neuroscience at New York University and complete postdoctoral research at Harvard. During this time, he published more than 15 scientific articles and uncovered a link between oscillations in brain activity and glucose metabolism in the body (Tingley et al., Nature 2020). ", "is_active": true, "linkedin_url": "https://linkedin.com/in/david-tingley-0428b5229", "x_url": "https://twitter.com/davidwtingley", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b90e3ec5d4fc7313dc5dec2bd305b0adc9ae7cd.jpg" }, { "user_id": 1357697, "full_name": "Tom Roseberry", "title": "Founder", "founder_bio": "Tom has over 15 years of industry experience leading teams and engineering technologies in aerospace, brain machine interfacing, synthetic biology and drug discovery/development. At Neuralink he built and co-led a group that developed a next-generation neural interface. At Loyal he built and led multiple teams as VP of Engineering, Computational Biology and Drug Development.", "is_active": true, "linkedin_url": "https://linkedin.com/in/tom-roseberry-a84501163", "x_url": "https://twitter.com/tomroseberry789", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a5f44d29c4554851b8be147f2a8f7d36f8f6a987.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73765, "title": "Olio Labs - Combination therapeutics for the world's toughest diseases", "tagline": "Using AI to design better treatments for disease ", "body": "**In short**\n\nOlio labs uses AI to develop combination therapeutics that consider the thousands of interacting proteins in your body rather than targeting just one or two. \n\n**The problem**\n\nDrug discovery focuses on finding therapeutics that target one or two proteins. But proteins are found in many organs throughout the body, which results in side effects. \n\n![](https://lh3.googleusercontent.com/nCXuE0YFP47YFSREM_gvtYJdIdYEY4iqI-SvmYumTPcTycsPM0pa0KmgMrnUoTWmHuJ7PYW8OXC88mmqJU39vB2P_gVb11IK0Erikj9v4cL-9lIIlqsXnHoUbVGboDGr0pEBTV0ozSOTWiL6XjeUmw)\n\nCombinations of therapeutics allow for better targeting in the right places.\n\n![](https://lh4.googleusercontent.com/lkQf4Z1hE3SBtbiHzZLy_GakojBT9WD0HNEvFGnwzdHRMOLU7C1fju9LVOKrY8Zp0L14qhkSr9orPiFmBvFThYwpZsb1KYrkPbWtUYmV8UOCU-Kw5AnA5ZvFhkSb86abKwnQgjODJb6sVmb4j5VxQg)\n\nOptimizing a combination requires testing trillions of combinations, which is impossible _in vitro_ (cell culture) or _in vivo_ (rodents). \n\n**Solution**\n\nWe have developed a computational platform that allows rapid _in silico_ testing to find only the most promising combinations to move forward. \n\n![uploaded image](/media/?type=post&id=73765&key=user_uploads/1288444/02e216ba-c2be-4553-879f-0451a6c89120)\n\nWe have lead combinations that beat the currently available market-leading drugs. \n\n**Who are we?**\n\n![](https://lh4.googleusercontent.com/aAdMatFLBHE8DYk6SKxdxo5PXq8QZQPDYaxsIO6zoUylUVscOekD8f7pIyNhrs7D2fQiCJ99074X5owKeHxQqy9_vb5D2Eb1E9VQpeA2jGQ_gjku46dwsfojMtwJB75KvcofBgbZSmPqhmO1GHuybQ)\n\nDavid and Tom are both systems neuroscientists and worked together on the Computational Biology team at Loyal for Dogs.\n\nIn our PhDs we used research tools that allowed single neurons to be turned on or off in order to test their function. These tools are not available in humans, but is there another way to be this precise? Combinations of therapeutics make it possible.\n\nWe are a new type of scientist that has emerged over the past decade - as comfortable working at the bench as we are in the codebase. This means we have a full understanding of the problems and tools, from cell to model, with no disconnect between engineers and scientists. We are looking to automate every aspect of the drug discovery and development process and expand our platform into multiple indications. \n\n**Get in touch with us if you can help us find:**\n\n* **Connections** in mid to large **pharmaceutical companies**.\n* **Leads** on any developing **molecules** you find interesting that we can test out in our models. \n* **Builders** in the AI x Bio space who might resonate with our mission.\n\n… or if you just want to learn more!\n\n[founders@oliolabs.co](mailto:founders@oliolabs.co)", "url": "https://www.ycombinator.com/launches/JBl-olio-labs-combination-therapeutics-for-the-world-s-toughest-diseases", "votes": 29, "created_at": "2023-08-04T16:55:29.868Z" } ] }, { "id": 29134, "name": "Cognitio Labs", "slug": "cognitio-labs", "former_names": [ "Flair Technology Services Inc.", "Flair", "Flair Health", "Flair Technologies" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef89599f5919a67db2c626d5aa12b8e6f38bf8da.png", "website": "https://cognitioiq.com", "all_locations": "Los Angeles, CA, USA", "long_description": "CoAsync by Cognitio Labs is the AI back office for product quality compliance teams.\r\n\r\nWe help mission-critical food manufacturers automate repetitive, document-intensive workflows.\r\n\r\nWe started with Certificates of Analysis (COAs), one of the many workflows quality teams manage before products can ship. Today, this work is still performed manually across PDFs, emails, spreadsheets, and disconnected ERP systems. \r\n\r\nOther documents we help quality teams respond to 24x7 include supplier audit questionnaires, production schedules, lab reports & changes in product specifications and quality records.\r\n\r\nCoAsync automates the workflow by:\r\n\r\nReading supplier documents\r\nExtracting laboratory data\r\nValidating product specifications\r\nApplying compliance requirements\r\nDrafting compliant COAs\r\nOrganizing audit-ready documentation\r\n\r\nResults from one of our initial deployments with a mid-market food processor:\r\n\r\n85% less QA administrative work\r\n4× more COAs processed per shift\r\n1-2 hours saved per document\r\nNew product onboarding in under one day\r\n\r\nCOAs are just the beginning. Our vision is to build the AI back office for product quality and compliance across regulated industries by automating the many document-intensive workflows manufacturers manage every day.\r\n\r\nBacked by Y Combinator and leading investors. Founder Diva Avaya Sharma has presented example AI workflows for product quality and compliance through the World Economic Forum Centre for Advanced Manufacturing and Supply Chains' SmartStart initiative and at the International Telecommunication Union's AI for Good Global Summit, organized in partnership with the United Nations.\r\n\r\nKnow a company shipping food & product urgently? Help them get started with their own document workflows at https://cognitioiq.com", "one_liner": "AI back office for food product quality teams", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1690407835, "tags": [ "AIOps", "B2B", "Data Science", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Industrials" ], "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/cognitio-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cognitio-labs.json", "year_founded": 2025, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cognitio-labs/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef89599f5919a67db2c626d5aa12b8e6f38bf8da.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 339188, "full_name": "Diva Avaya Sharma", "title": "Founder", "founder_bio": "Diva is the founder of Cognitio Labs (former Flair telehealth) and inventor of a patented remote patient monitoring device. Previous companies & projects at Ancestry.com, Facebook, Johnson & Johnson, and the Stanford School of Medicine. Alum: Stanford University (Bachelors)", "is_active": true, "linkedin_url": "https://linkedin.com/in/diva-sharma", "x_url": "https://twitter.com/adivawhocodes", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/66eb801562304c65890ec479268fc5fa4cacc625.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109669, "title": "Cognitio Labs - the AI Back Office for Product Quality Teams", "tagline": "CoAsync by Cognitio Labs, the AI back office for product quality teams.", "body": "CoAsync by Cognitio Labs, the AI back office for product quality teams.\n\n\n\nCertificates of Analysis are one of the sources of documentation clogging food and consumer product shipments today. Every day, millions of dollars of product sit waiting to ship because paperwork isn't ready to certify it is safe.\n\nBefore food can leave a facility, quality teams review supplier documents, lab reports, product specs, and regulatory requirements to produce a COA, the document certifying a product is safe, meets quality standards, and complies with destination-country rules. That still happens across PDFs, emails, spreadsheets, and disconnected ERPs, and a single COA can take hours.\n\nCoAsync ingests supplier documents, extracts lab data, validates specifications, applies country-specific compliance requirements, and drafts audit-ready COAs, keeping quality teams in control at every step.\n\n![uploaded image](/media/?type=post&id=109669&key=user_uploads/339188/d089cbb5-ccba-49ee-a89b-29f4ad88253f)\n\n\nResults: A Fresno-based dry fruit manufacturer cut COA processing from 8 hrs/week to under 1 hr in a six-week deployment, an 85% drop in QA admin work. A California fig grower now processes 4x more COAs per shift, saving 1 to 2 hours per document, and onboarded in under a day.\n\n![uploaded image](/media/?type=post&id=109669&key=user_uploads/339188/c9de609b-22b8-4634-a6d0-47768cd58e52)\n\n\nWe're starting with food, one of the most document-intensive, regulated supply chains in the world, building toward an AI operating system for safety and quality across consumer products adoption.\n\nOur founder @[Diva Avaya Sharma](https://www.linkedin.com/in/diva-sharma/) presented on critical supply chains adopting artificial intelligence tools at the World Economic Forum's SmartStart Manufacturing Initiative Initiative and the AI for Good Global Summit (International Telecommunications x United Nations).\n\nIf you know a food, consumer products, or ingredients manufacturer buried in paperwork overload, we welcome an introduction: .\n\n![uploaded image](/media/?type=post&id=109669&key=user_uploads/339188/7e9b5cea-da52-47c8-b61a-c419b89e02bf)\n\n\n#YCLaunch #FoodTech #SupplyChain #AI #FoodSafety", "url": "https://www.ycombinator.com/launches/SWr-cognitio-labs-the-ai-back-office-for-product-quality-teams", "votes": 2, "created_at": "2026-08-07T17:12:02.313Z" }, { "id": 104819, "title": "Cognitio Labs: The AI back office for Food & Product Quality", "tagline": "The AI back office for Food & Product Quality", "body": "[Cognitio Labs ](https://cognitioiq.com/)is building CoAsync, the AI back office for product quality teams. We started with one of food's most document-intensive workflows: the Certificate of Analysis.\n\n85% less QA admin time. 4× more COAs per shift. New products onboarded in under a day.\n\nEvery day, millions of dollars of food sit waiting to ship because the paperwork isn't ready.\n\nBefore food can leave a facility, quality teams manually review supplier documents, lab reports, product specifications, and regulatory requirements to produce a Certificate of Analysis (COA). It's just one of dozens of document-heavy workflows quality teams manage every day.\n\nToday, that work still happens across PDFs, emails, spreadsheets, and disconnected ERP systems. A single COA can take hours.\n\nOver a six-week deployment, the manufacturer reduced COA processing time from 8 hours per week to under 1 hour, centralized supplier documentation, and dramatically improved audit readiness. The result was an 85% reduction in QA administrative work.\n\nCoAsync ingests supplier documents, extracts lab data, validates specifications, applies country-specific compliance requirements, drafts compliant COAs, and prepares audit-ready documentation while keeping quality teams in control at every step.\n\nWe're starting with food because it's one of the most document-intensive, highly regulated supply chains in the world. Our vision is to build the AI back office for product quality and compliance across every regulated industry.\n\nThis summer, our founder [Diva Avaya Sharma](https://linkedin.com/in/diva-sharma) is presenting example AI workflows for product quality and compliance through the World Economic Forum Centre for Advanced Manufacturing and Supply Chains’ SmartStart initiative and at the AI for Good Global Summit, organized by the International Telecommunication Union (ITU) in partnership with the United Nations. These examples explore how AI can reduce repetitive documentation, strengthen compliance, and support the next generation of quality, manufacturing, and supply chain professionals.\n\nAre you a food quality manufacturer or processor ready to see CoAsync on your own products? Upload a supplier document, a sample lab report, and a historical COA, and watch your quality workflow automate in minutes on ", "url": "https://www.ycombinator.com/launches/RGd-cognitio-labs-the-ai-back-office-for-food-product-quality", "votes": 3, "created_at": "2026-07-06T15:52:02.427Z" }, { "id": 99119, "title": "Cognitio Labs – Real-time food traceability for safety and compliance", "tagline": "Automating real-time food traceability for FDA compliance", "body": "[Cognitio Labs](https://cognitioiq.com) is an applied AI research lab building real-time compliance infrastructure for regulated supply chains, serving as the first line of defense against recalls and regulatory failure.\n\nView our launch video at: [**https://youtu.be/iFD6vxaS0eY**](https://youtu.be/iFD6vxaS0eY)\n\nWhen a food contamination event happens, time is everything. If traceability takes days instead of hours, entire product categories get destroyed, brands lose trust, and recalls cost $10M to $100M+.\n\nYet today, most operators still rely on spreadsheets, PDFs, and manual logs. Traceability data is fragmented across facilities, systems, and partners, and critical events like temperature, handling, and lot transformations are not automatically captured or standardized. As a result, generating accurate, regulator-ready records is slow, manual, and error-prone.\n\n**Why now:** The FDA’s [FSMA 204 rule](https://www.fda.gov/food/food-safety-modernization-act-fsma/fsma-final-rule-requirements-additional-traceability-records-certain-foods) requires companies to produce standardized, lot-level digital traceability records within 24 hours by 2028, impacting over 60,000 U.S. food facilities. The regulatory bar is rising, but the infrastructure to meet it requires improvement.\n\nWe are building that infrastructure.\n\nOur system uses sensors and AI to automatically capture key events such as temperature, humidity, handling, and lot-level movements across production, storage, and transit. We convert fragmented operational data into standardized, FSMA 204-compliant traceability records and generate regulator-ready reports in real time.\n\nCompliance is generated as operations happen, not after.\n\nThis becomes the first line of defense by enabling faster recalls, reducing spoilage, eliminating manual compliance work, and protecting contracts, insurance coverage, and brand equity. Avoiding even one major recall can save $10 million to over $100 million.\n\nCognitio Labs was founded by [Diva Avaya Sharma](https://www.linkedin.com/in/diva-sharma/), a Stanford-trained technologist who previously built a patented remote patient monitoring system integrating sensors and machine learning in regulated healthcare environments, recognized by global development institutions and national innovation programs.\n\nWe are starting with food and expanding into other regulated, high-risk supply chains.\n\nLearn more at [**cognitioiq.com**](http://cognitioiq.com).\n\nFollow our Linkedin Page [**here**](https://www.linkedin.com/company/110755112/)**.**", "url": "https://www.ycombinator.com/launches/Pmh-cognitio-labs-real-time-food-traceability-for-safety-and-compliance", "votes": 11, "created_at": "2026-03-26T19:07:46.555Z" } ] }, { "id": 29136, "name": "Autotab", "slug": "autotab", "former_names": [ "42 Labs", "Planetary Computers Inc.", "Planetary Computers", "ztool", "autotab" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4967676cdc6058f952822347fafe9d59a61218fb.png", "website": "https://autotab.com", "all_locations": "San Francisco, CA, USA", "long_description": "Autotab is a drop-in AI knowledge worker that uses a mouse and keyboard like you—so anything you can do, it can do. Show it how to perform your task, train it to be hallucination-proof by adding examples and providing feedback, and then run it on demand or on a schedule—either locally or in the cloud.\r\n \r\n\r\nIt achieves superhuman reliability, and can scale up on demand so your team doesn’t have to.\r\n \r\n\r\nAutotab is already handling complex tasks thousands of steps long, from messaging customers to triggering payments and updating data across core systems of record like Salesforce, HubSpot, Google Sheets, and Jira.\r\n\r\n \r\nDownload the beta version of the app and get started right away, or sign up for a personalized onboarding: https://www.autotab.com", "one_liner": "AI agents reliable enough to do real work", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1689696182, "tags": [ "Productivity", "Enterprise", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/autotab", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/autotab.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/autotab-ai", "x_url": "https://x.com/autotabai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/orgs/Planetary-Computers/repositories", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4967676cdc6058f952822347fafe9d59a61218fb.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": 414353, "full_name": "Jonas Nelle", "title": "Founder", "founder_bio": "Born and raised in Berlin. BA in Rationality from Harvard (convinced them to let me create a new major). Built data-driven applications at Palantir and Taktile (YC S20). Started and sold the first oracle for zero-knowledge rollups on Ethereum.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jonas-nelle", "x_url": "https://twitter.com/jonas_nelle", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d63eedbe6cd0f00992a1305f591f790b81102d67.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 91808, "title": "Autotab: The first AI agent you onboard, not integrate", "tagline": "Infinitely scalable remote workers that you onboard via a simple screen recording", "body": "tl;dr: You can now teach AI to do your work by simply recording a short video explaining the task. Once trained, you can run an entire fleet of parallel instances to complete weeks of work in a few hours.\n\nDownload the app and put Autotab to work—no sales call or credit card required to get started: [https://www.autotab.com](https://www.autotab.com/)\n\n### \n\nhttps://youtu.be/JTniG6K30UU\n\n### Problem\n\nToday’s models have the intelligence required for most work—but they are bottlenecked by context, tools, and their ability to operate over long time horizons.\n\n### Context: Teaching, not prompting\n\nAutotab learns like a human colleague–by watching demonstrations, reading SOPs, and taking feedback on its past work.\n\nReal work is rarely zero-shot, so Autotab is designed to ask clarifying questions as it is learning, and to be good at taking feedback.\n\n### Tools: UI-first control\n\nAutotab interacts directly with existing applications and internal tools using a mouse and keyboard—no technical integration required.\n\n### Long tasks\n\nAutotab is able to work for days at a time, using scaffolding and checkpoints to stay on track, just like an SOP.\n\n### Superpowers: Better than human\n\nOnboarding Autotab is designed to feel like onboarding a remote human worker, but running Autotab is an entirely different experience.\n\nFor sensitive tasks, Autotab can be run in a dedicated local browser with support for enterprise authentication and SSO—credentials never leave your device.\n\nAutotab can also be run at scale in the cloud, with an entire fleet of parallel instances working together to complete weeks of work in a few hours.\n\n### Accessible to everyone\n\nFor the past 6 months, we’ve helped companies like DoorDash scale work that previously required humans, running years worth of continuous computer use.\n\nNow, you can download the app and put Autotab to work—no sales call or credit card required to get started.\n\n### Use cases\n\nIf you’re looking for some inspiration for how to use AI agents like Autotab, here are a few examples of common tasks others are using Autotab for.\n\n* Collecting and enriching data: For example finding the payment options offered by e-commerce websites, or researching the technology vendors used by local businesses.\n* Filling out forms: For example government forms to request documents, or forms to request quotes from businesses such as insurance carriers.\n* Taking action: For example updating leads in a CRM, processing customer support tickets or sending messages to leads.", "url": "https://www.ycombinator.com/launches/Nsm-autotab-the-first-ai-agent-you-onboard-not-integrate", "votes": 9, "created_at": "2025-07-02T18:51:11.029Z" }, { "id": 84840, "title": "Autotab: AI agents reliable enough to do real work", "tagline": "Not a chatbot: Autotab handles repetitive tasks end to end using a keyboard and mouse, with human-level reliability.", "body": "# TLDR\n\nAutotab is a drop-in AI knowledge worker that uses a mouse and keyboard like you—so anything you can do, it can do. It achieves superhuman reliability, and can scale up on demand so your team doesn’t have to.\n\nAutotab is already handling complex tasks thousands of steps long, from messaging customers to triggering payments and updating data across core systems of record like Salesforce, HubSpot, Google Sheets, and Jira.\n\n### Open beta launch\n\nStarting today you can download the beta version of the [app](https://www.autotab.com/) and get started right away. Or sign up for a [personalized onboarding](https://www.autotab.com/request).\n\n![uploaded image](/media/?type=post&id=84840&key=user_uploads/414353/c701bf1e-2f28-4bb2-ac4b-779b02be0a8b)\n\n### Autotab is built for real work\n\n“We were promised digital robots, and all we got was tab complete.”\n\nSo far, AI agents have not been reliable enough to do meaningful work without supervision.\n\nAutotab is the first system for building extremely reliable agents that can execute any repetitive task fully autonomously. Show it how to perform your task, train it to be hallucination-proof by adding examples and providing feedback, and then run it on demand or on a schedule—either locally or in the cloud.\n\n### Hallucination Proof\n\nReal work is hard. To push the frontiers of autonomy, we have developed multiple systems that work together to achieve the improbable.\n\n1. **Digital Robot**: For AI to do real work, it needs to be able to use a computer. Autotab is driven by more than 16 unique models, from fast on-device models to vision-based robotics and the largest frontier models in the world.\n2. **Demonstration Learning**: Telling an AI to book flights for you is a cool demo, but real work is nuanced and difficult to explain in a prompt. You teach Autotab by _showing_ it how to do your task the same way you would a human colleague. This means Autotab has 100-1000X more data than prior approaches, providing the deep context required for full autonomy.\n3. **Action Scaffold**: Each task that Autotab learns is composed of a series of steps and sub-goals. This makes it easy to understand what Autotab is doing and gives you fine-grained control.\n4. **Memory**: As it runs, Autotab prompts you for feedback and provides opportunities to steer its behavior. These learnings are accumulated into action memory—improving Autotab’s world model and allowing it to work autonomously with extremely high reliability for hours on end.\n5. **Bare Metal Control**: Autotab uses a custom browser for secure, bare metal task execution—locally and in the cloud. This also lets us avoid most bot detection.\n\nThe result is an AI system that learns and works like a human colleague. It uses a browser, so it can handle any repetitive task you can—there is no list of integrations, just teach it to use whichever apps you want. It asks for clarification when it is uncertain, and you can correct it if it gets something wrong.\n\n### Case studies\n\nHere are a few specific examples of how customers have been using Autotab to get more done:\n\n* A fast-growing startup saves 10+ hours of their team’s time each week using Autotab to find customers at risk of churning in an internal product analytics tool and then has Autotab reach out to them with personalized emails.\n* One customer uses Autotab to handle dozens of support tickets every day, such as updating vendor permissions and assigning training tasks to new employees across different applications.\n* Another customer has trained Autotab to gather research data across different sources, which used to take their employees hours of time to do every week.\n\n### Get started today\n\nYou can download the beta version of the [app](https://www.autotab.com/) and get started right away or sign up for a [personalized onboarding](https://www.autotab.com/request).", "url": "https://www.ycombinator.com/launches/M4O-autotab-ai-agents-reliable-enough-to-do-real-work", "votes": 23, "created_at": "2024-10-17T22:07:57.122Z" }, { "id": 79917, "title": "Autotab: Digital robot to do your repetitive work", "tagline": "Autotab can run thousands of steps with 98%+ reliability, 24/7/365 (no lunch breaks needed)", "body": "**TLDR**: Hire Autotab to do your repetitive work for you, starting at just $1/hour. Autotab is a digital robot that learns like a human—just demonstrate how to perform the task once.\n\nToday, Autotab reliably handles complex tasks with 1000s of steps, saving users hours each day. **Sign up **[**here**](https://78348iv5tyv.typeform.com/to/PFjNcLqW?utm_source=launchyc&utm_campaign=launchyc)** to request early access to Autotab!**\n\n![uploaded image](/media/?type=post&id=79917&key=user_uploads/414353/b923cf51-551f-4232-94c4-f84fc951252c)\n\n### Problem\n\n“I love clicking and typing the same things over and over again,” said no one ever.\n\nNobody likes repetitive work, clicking and typing the same thing over and over again. But writing software to automate it is often too expensive or simply not possible. So we’ve had to do suck it up and grind through (or pay someone else to)—until now.\n\n### Solution\n\nAutotab is a desktop app for teaching AI to do the work you don’t want to do. You simply show it how to do the task once, and Autotab uses AI to learn how to do it for you. Once it has learned a task, Autotab can do it as many times as you want, 24/7/365. No lunch breaks needed.\n\nAutotab is built for real work: It excels at tasks that are **repetitive, such as doing the same thing for every item in a list, and complex, e.g.,** involving many steps across different software applications. Autotab currently is able to do any task that can be done in a browser, with capabilities to control any application on your computer coming soon.\n\nOn top of it all, you only pay for the time that Autotab actually spends doing work for you—starting at $1/hour!\n\n# Digital robot, real work\n\nWe built Autotab with an extreme focus on reliability and the ability to execute complex workflows.\n\n**Bare metal control:** Autotab has its own browser that gives it the bare metal control needed to deliver 98%+ reliability without any site-specific fine-tuning. This also lets us avoid most bot detection.\n\n**Show, don’t tell:** Most other approaches try to have an agent autonomously plan novel chains of actions based on natural language instructions (e.g., “Order me a Domino’s pizza”). While Autotab can do that too, for most important automations it is much easier to show Autotab the workflow than it would be to write a paragraph describing all the steps. If you were to train a human, would you explain where to click or just share your screen & explain with a voiceover?\n\n**Discrete, auditable actions:** Each task that Autotab learns is composed of a series of steps. This makes it easy to understand and have fine-grained control over what Autotab does. It also allows Autotab to work autonomously with extremely high reliability for hours on end.\n\n### Ask\n\nHire Autotab to do your repetitive work for you. **Sign up **[**here**](https://78348iv5tyv.typeform.com/to/PFjNcLqW?utm_source=launchyc)** to request early access!**", "url": "https://www.ycombinator.com/launches/Kmz-autotab-digital-robot-to-do-your-repetitive-work", "votes": 35, "created_at": "2024-04-03T16:54:31.984Z" }, { "id": 73240, "title": "ZTool - Create data tools & scripts with just a few words", "tagline": "ZTool.co is the personal developer for entrepreneurs, analysts, and marketers", "body": "**tl;dr**\n\n**Describe** the tool you need **in** **one sentence** and ZTool will create the code, run it, and present the output. We particularly focus on all things **CSV** **files**: anything from exporting csvs, to merging files and enriching data is possible. Over time, users can edit, build out and share their library of tools with each other.\n\n**Problem**\n\nPython scripts for tools like scrapers or workflow automations have been written thousands of times before. Reusing that code — and saving time — should be easy but it’s not: finding the relevant scripts is hard, and adapting it to your specific case requires a certain level of skill at which one can just write the code from scratch. ZTool solves both the search problem and the skill problem; it will give you the exact script you need, specific to your use case, and regardless of your technical ability.\n\n**Solution**\n\nAll the user has to do is describe the script they want, for example: merge two CSV files. ZTool, powered by LLMs, will ask specifying questions, ask for the input files, and then create an output file. That’s it!\n\n![uploaded image](/media/?type=post&id=73240&key=user_uploads/1377594/f6494391-8d41-4a73-8e81-01d797eef7e3)\n\n**How we came up with this**\n\nWhile working as an analyst at a VC firm many years ago, Jonas hacked together a script to process csv data for a deal analysis. It was a simple script but it **saved him days worth of manual work**. Over time the initial script proved useful for more and more deals and grew into an entire library of Python scripts for automating different tasks, from data analysis to web scraping. It took Jonas a week to create that initial script and he had to learn Python, regex, SQL, Docker, cloud, and more—with ZTool anyone could have done it in 5 minutes.\n\n**Concrete ask**\n\nZTool has a blessing and a curse, and they turn out to be the same thing: it is super powerful and can be used to generate all sorts of scripts. Help us figure out what we should focus on [**by trying it out**](https://www.ztool.co/) and showing us what tools are most useful to you!", "url": "https://www.ycombinator.com/launches/J3I-ztool-create-data-tools-scripts-with-just-a-few-words", "votes": 36, "created_at": "2023-07-19T19:41:52.401Z" } ] }, { "id": 29137, "name": "Opensteer", "slug": "opensteer", "former_names": [ "Thumbnail Game", "TrendUp", "trendup", "Curatle", "dinogent", "Curatle", "Oversteer" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/38b0ef5314d328b72aff9a8d9829350f181b5ace.png", "website": "https://opensteer.com", "all_locations": "Los Angeles, CA, USA; Remote", "long_description": "Opensteer creates specialized AI agents in cloud computers that can integrate with anything. Each agent gets customizable browser access, tools, instructions, and guardrails, so it can work 24/7 exactly the way you need.", "one_liner": "Specialized agents for real work", "team_size": 1, "industry": "B2B", "subindustry": "B2B", "launched_at": 1689032123, "tags": [ "Robotic Process Automation", "B2B", "API", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/opensteer", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/opensteer.json", "year_founded": 2023, "city": "Los Angeles", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/38b0ef5314d328b72aff9a8d9829350f181b5ace.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": 1369366, "full_name": "Tim Jang", "title": "Founder", "founder_bio": "Founder at Opensteer. Previously at Block.", "is_active": true, "linkedin_url": "https://linkedin.com/in/timjang3", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9fa76a17acafebcc366921a150dbeeceb5469bd0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102076, "title": "Opensteer - Specialized agents that learn and run your business", "tagline": "A team of AI agents that run your business", "body": "Opensteer creates specialized AI agents that learn and use your tools, workflows, rules, and custom processes to become experts at one specific job.\n\nEach agent runs in a secure cloud workspace with its own browser, tools, memory, schedules, rules, and approval gates. Instead of one generic assistant trying to do everything, Opensteer agents are trained around one job and the way your company actually gets it done.\n\nWith a team of specialized agents, you essentially have a suite of AI employees that help run and accelerate your business 24/7.\n\n\n\n**The Problem**\n\nAgents today are too generic. They get a long prompt, a huge context window, and every tool loaded at once.\n\nBut real company workflows are specific and messy. Sales follow-up happens across a CRM, Gmail, LinkedIn, and Slack. Support triage may require tickets, docs, dashboards, and manager approvals. Ops work often lives inside browser-only portals with no API.\n\nEach job needs its own rules, context, workflows, and guardrails. With one generic agent, those rules get blended together, important context gets lost, and the quality of the work drops.\n\n**The Solution**\n\nOpensteer turns a generic agent into a specialized worker by giving it a custom harness for one job.\n\nA harness is a filesystem that teaches an agent how to do a workflow well. It contains the agent's operating playbook, memory, tools, schedules, browser access, deterministic code, approval rules, and integrations for that specific job.\n\nSkills tell the agent how to think, make tradeoffs, and follow your company's rules. Actions and scripts handle the parts that should run the same way every time: API calls, browser automation, parsing, validation, database updates, notifications, and scheduled routines.\n\nYou decide where each workflow sits on the autonomy spectrum: deterministic code, agent judgment, human approval, or a mix of all three.\n\nBecause harnesses can use APIs, first-party MCPs, CLIs, custom code, and browser automation, Opensteer agents can integrate with anything your team already uses.\n\n**How It Works**\n\n1\\. Describe the job you want the agent to own.\n\n2\\. Opensteer creates a specialized harness for that workflow.\n\n3\\. Connect the apps, browser profiles, tools, APIs, and data it needs.\n\n4\\. Add rules, approvals, schedules, and deterministic actions.\n\n5\\. Run it in the cloud, then check in or steer it from Opensteer, Claude Code, or Codex.\n\n**Our Ask**\n\nCreate your own custom, specialized agents today at Opensteer or book a call here: [**https://cal.com/tim-opensteer/30min**](https://cal.com/tim-opensteer/30min)\n\nWebsite: [**https://opensteer.com**](https://opensteer.com)\n\nEmail: [**tim@opensteer.com**](mailto:tim@opensteer.com)", "url": "https://www.ycombinator.com/launches/QYO-opensteer-specialized-agents-that-learn-and-run-your-business", "votes": 17, "created_at": "2026-05-28T07:11:36.274Z" }, { "id": 95163, "title": "Oversteer - The Most Reliable Browser Agent for Any Web Task", "tagline": "Turn any website into a reusable API", "body": "**_TL;DR_** Oversteer is building browser agents to automate web tasks and turn them into reusable, deterministic APIs. You can integrate the API into any system and automate/integrate any website or portal. \n\nhttps://www.youtube.com/watch?v=IZCy2r-rs7s\n\n# **What’s the insight?**\n\nAcross industries, teams still outsource repetitive web tasks — logging into portals, downloading files, submitting forms, extracting data — to human labor, spending millions of human labor hours. Traditional browser automation tools exist, but they’re **unreliable, expensive, and non-deterministic**. Companies and users want something that just works - a reliable agent that can execute their workflow end-to-end deterministically that works correctly every time, and actually replace human work. \n\n# **What did we build?**\n\nOversteer is an **AI browser agent** that automates any website or web portal from a simple prompt. It generates **deterministic scripts** that run like APIs — **reliable, reusable, and self-healing** when websites change. Because they don’t rely on LLMs at runtime, they’re **fast, consistent, and cheaper** than traditional browser agents.\n\n# **How it works:**\n\n**Step 1:** Understands and records a user’s web workflow from just a prompt.\\\n**Step 2:** Generates a deterministic automation script from the workflow.\\\n**Step 3:** Handles anti-bot detection, CAPTCHA solving, and automatic login with 2FA.\\\n**Step 4:** Runs as a reusable API and connects to systems like Zapier, n8n, and app builders like Lovable, v0.\\\n**Step 5:** Automatically adapts when websites update, ensuring the automation keeps working.\n\n---\n\n# **The Team**\n\n**Tim Jang** – Founder. Previously built multiple consumer apps with millions of users. Developed large-scale web automation systems to extract real-time data on millions of consumer products, and is now bringing that technology into a product that anyone can use.\n\n---\n\n# **Our Ask (and Offer)**\n\nTry it yourself for free: https://oversteer.dev\n\nIntro: We’re looking to connect with companies that spend hours doing repetitive web tasks — in **procurement, logistics, healthcare, accounting, finance**, or any industry with heavy manual computer work.\n\nOr if you’re someone who wants to integrate websites into automation workflow tools like n8n, Zapier, or app builders like Lovable, we’d love to talk.\n\nFeel free to email me at [**tim@oversteer.dev**](mailto:tim@oversteer.dev)\n\nor book a meeting here: https://cal.com/tim-jang-r1jrml/30min", "url": "https://www.ycombinator.com/launches/Okt-oversteer-the-most-reliable-browser-agent-for-any-web-task", "votes": 15, "created_at": "2025-11-05T02:17:41.406Z" } ] }, { "id": 29146, "name": "Singularity", "slug": "singularity", "former_names": [ "Singularity Space" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/992f82455265202b720c9d34ee95f7a7b0ffbcc9.png", "website": "https://www.singularityus.com/", "all_locations": "Los Angeles, CA, USA", "long_description": "Singularity is answering humanity’s call to engineer counter-weapon systems at scale. We build to protect people on the battlefield and at home.", "one_liner": "Building and Protecting an Exciting Future", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1784043755, "tags": [ "Hardware", "Manufacturing", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "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/singularity", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/singularity.json", "year_founded": 2023, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/singularity-defense", "x_url": "https://www.x.com/singularitydefc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/992f82455265202b720c9d34ee95f7a7b0ffbcc9.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": 1314399, "full_name": "Jack Oswald", "title": "Founder", "founder_bio": "Passionate rocket propulsion engineer. - 1st Technical Hire at Impulse Space - Propulsion @ SpaceX - Analysis @ Tesla - MIT Grad - Stanford Dropout", "is_active": true, "linkedin_url": "https://linkedin.com/in/jack-oswald-258baa96", "x_url": "https://twitter.com/JackOswald10", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9638153ec78f9c45e94bfd313706edf7a78a98c4.jpg" } ], "jobs": [], "news": [ { "title": "Interceptor Startup Singularity Emerges from Stealth with an $80M Series A at a $400M Valuation", "url": "https://www.tectonicdefense.com/interceptor-startup-singularity-emerges-from-stealth-with-an-80m-series-a-at-a-400m-valuation/", "date": "Jul 14, 2026" } ], "launches": [] }, { "id": 29150, "name": "Tempo", "slug": "tempo-2", "former_names": [ "Tempo Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/860f478b7cd2ea33eefb86e90c9c693abef2997f.png", "website": "https://www.tempo.new", "all_locations": "Toronto, ON, Canada", "long_description": "Tempo is a visual editor for react that gives PMs, designers, and engineers the ability to collaborate visually on code. It offers the familiar UX of a design tool but functions like an IDE under the hood. Tempo is optimized for Vite and Tailwind.", "one_liner": "Visual Editor for React, powered by AI", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1689887097, "tags": [ "Developer Tools", "B2B", "Design Tools", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Canada", "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/tempo-2", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/tempo-2.json", "year_founded": 2023, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/tempo-labs/", "x_url": "https://twitter.com/Tempo_Labs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/860f478b7cd2ea33eefb86e90c9c693abef2997f.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": 186561, "full_name": "Kevin Michael", "title": "Founder", "founder_bio": "Spent the last 5 years as founding engineer and head of product at Perpetua ($150M exit). Previously product fellow at Social Capital and engineer on the Visual Studio team at Microsoft.\n\nI've tried every low-code tool on the market and not a single one does a good job integrating with existing production codebases. I'm obsessed with solving this problem at Tempo and using AI to turn anyone into a 10X engineer.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kevin1michael", "x_url": "https://twitter.com/Kevin1Michael", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8c7830f8663eab5c6d02ae78b8d45d215d44e638.jpg" }, { "user_id": 187455, "full_name": "Peter Gokhshteyn", "title": "Founder", "founder_bio": "Passionate about building great products fast. Joined Perpetua ($150M exit) 6 years ago as employee #3 and led the engineering team from idea to PMF. Previous worked as a software developer at Google, Bloomberg & Zynga.", "is_active": true, "linkedin_url": "https://linkedin.com/in/petergokhshteyn", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/736fd7198b0fd99e0e711bdeb7288da5fbf5e458.jpg" } ], "jobs": [ { "id": 68263, "title": "Software Engineer, Full Stack (In-Person - Toronto)", "url": "https://www.ycombinator.com/companies/tempo-2/jobs/fszRm52-software-engineer-full-stack-in-person-toronto", "location": "Toronto, ON, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $200K CAD", "equity_range": "0.35% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Node.js", "React" ] }, { "id": 68264, "title": "Software Engineer, LLMs & AI Agents (In-Person - Toronto)", "url": "https://www.ycombinator.com/companies/tempo-2/jobs/C9xH3JW-software-engineer-llms-ai-agents-in-person-toronto", "location": "Toronto, ON, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $200K CAD", "equity_range": "0.35% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Node.js", "React" ] }, { "id": 83825, "title": "Founding Product Designer ", "url": "https://www.ycombinator.com/companies/tempo-2/jobs/Hia3MVk-founding-product-designer", "location": "Main Office - Toronto", "type": "Full-time", "role": "Design", "role_type": "Web design", "salary_range": "$125K - $200K CAD", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "React", "TypeScript", "Figma", "Tailwind" ] } ], "news": [ { "title": "Tempo's $5M Seed To Empower The Design Engineering Movement", "url": "https://www.tempo.new/blog/5m-seed-design-engineering-movement", "date": "Oct 22, 2025" } ], "launches": [ { "id": 88483, "title": "Tempo V2: Build React Apps 10X Faster With AI", "tagline": "Tempo is where designers and developers collaborate on code", "body": "### **TL;DR**\n\nTempo is a visual IDE that enables designers, PMs, and developers to collaborate on code with the help of AI. In addition to prompting, Tempo gives you the fine-grain control that comes from a traditional design editor or code editor.\n\nIn V2, we introduce our [Figma Plugin](https://www.figma.com/community/plugin/1463689183126672406/tempo-ai-powered-figma-to-code-react), new AI reasoning + Gemini Search, [pre-built SaaS templates](https://tempolabsinc.mintlify.app/SaasTemplates) (for Stripe, Polar, Supabase, Convex+Clerk), and Expo support for react-native mobile apps. Watch our demo, [here](https://youtu.be/Sup921tMUf4).\n\n**The problem?** \n\n“Low-code” and “design to code” tools suck. As much as they accelerate the development process for simple apps, none have succeeded at helping serious software companies ship production-grade software. \n\nNew AI-powered web app builders take a code-first approach that is superior, however, they still struggle with complex apps and large codebases.\n\n**How we are solving it**\n\nTempo redefines the development workflow by combining the best of an IDE (like VS Code), a design tool (like Figma), and an AI chat assistant that enhances both—creating a single source of truth for designers and developers. Whether you’re a non-technical builder or a seasoned engineer, Tempo streamlines the process from concept to production.\n\nWith **V2, Tempo introduces:**\n\n🎨 **A fine-grain design panel** for pixel-perfect control\n\n🖼️ **A Figma plugin** that converts your designs to code in Tempo\n\n🧠 **Enhanced AI reasoning + Gemini Search** for faster debugging and development.\n\n⚡ **Pre-built SaaS templates** for Stripe, Polar, Supabase, Convex + Clerk.\n\n📱 **Expo support** for mobile app development with react native.\n\n**Teams use Tempo to:**\n\n* Build production grade applications.\n* Rapidly generate and refine prototypes.\n* Visually collaborate on production code.\n* Ship UIs that are pixel-perfect, every time.\n\nThe interface feels like your favourite design tool but works like an IDE. Teams using tempo ship to production 10x faster by adopting a code-first workflow.\n\n**What are we looking for?** \n\nSimply put—build, share, and showcase what you’ve created. Tag us in your [X](https://x.com/Tempo_Labs), [LinkedIn](https://www.linkedin.com/company/tempolabs/), or other posts, and we’ll amplify it to the community. Also please share your feedback.\n\nNeed additional support to accelerate your product roadmap? [Agent+](https://www.tempo.new/ai-agent-plus) can help accelerate your roadmap—designing and shipping 1-3 features per week. YC companies get $500 off for the first 3 months. Let’s build faster, together.\n\n**About Us:** \n\nFounders [Kevin](https://www.linkedin.com/in/kevin1michael/) and [Peter](https://www.linkedin.com/in/petergokhshteyn/) previously worked at Microsoft, Google, and Perpetua. They are building Tempo to help teams go from idea to production in minutes.", "url": "https://www.ycombinator.com/launches/N19-tempo-v2-build-react-apps-10x-faster-with-ai", "votes": 53, "created_at": "2025-03-11T17:41:51.665Z" }, { "id": 73362, "title": "Tempo Labs - Build UIs 10X faster with AI", "tagline": "AI design & prototyping tool which contributes react code directly to your codebase", "body": "**TL;DR:** [_Tempo_](https://www.tempolabs.ai/) is an AI design & prototyping tool which contributes high-quality react code directly to your codebase. You can use tempo to generate complete views using simple AI prompts, polish & control design details visually, and build a high quality design system using your existing components. Sign up here to give it a try: [**_https://www.tempolabs.ai/_**](https://www.tempolabs.ai/)_._\n\nHere’s a 2-min demo: [**https://www.youtube.com/watch?v=2qQJKQJq7Jk**](https://www.youtube.com/watch?v=2qQJKQJq7Jk)\n\nHey Everyone, [Kevin](https://www.linkedin.com/in/kevin1michael/) & [Peter](https://www.linkedin.com/in/petergokhshteyn/) here, we’re the founders of [Tempo Labs](https://www.tempolabs.ai/).\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=73362&key=user_uploads/186561/3de21c2f-8b73-4db8-8f65-5e2b61ea3670)\n\n### **The Problem**\n\nWhile building our last startup (Perpetua), we spent a lot of time looking for ways to speed up the pace of our development and prototyping. We tried every low-code tool on the market and were constantly disappointed by how poorly they integrated with our existing codebase. Figma ended up being our de facto tool for testing concepts but Figma prototypes always felt low-fidelity and took way too long to ship to production.\n\n### **The Solution**\n\nTempo is the design and prototyping tool we wish existed. Tempo integrates with any react project and empowers designers to collaborate with engineers directly on the codebase. Powered by AI, tempo generates 60%-80% of the front-end code required for any feature so engineers are free to focus on writing business logic rather than css. By eliminating the design->code translation process we help teams ship their ideas to production 10X faster.\n\n### **The Ask**\n\nIf you’re building a react app and are interested in testing us out please email me at [**kevin@tempolabs.ai**](mailto:kevin@tempolabs.ai). If you already have a design system we’ll give you a visual playground to build new views, if you don’t, we’ll help you implement one! If your app looks like crap, or your codebase feels hard to maintain, get in touch - we’ll help you level up your front-end using AI :)\n\n### **The Deal**\n\nSign-up before demo day and get 70% off for the first 6 months!", "url": "https://www.ycombinator.com/launches/J5G-tempo-labs-build-uis-10x-faster-with-ai", "votes": 84, "created_at": "2023-07-24T18:15:59.327Z" } ] }, { "id": 29152, "name": "Cembla", "slug": "cembla", "former_names": [ "Taylor", "Taylor AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/41b0a27e54d4ae8ccb5d6d44522528df85b7ed7a.png", "website": "https://cembla.com", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "AI for legal & government", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1687991939, "tags": [ "SaaS", "GovTech", "B2B", "Legal" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Ben and Brian met at the 2015 Speech & Debate Nationals the summer before the start of their freshman year at Stanford. Since then, they’ve been best friends and are currently roommates in San Francisco. After graduating with his master’s in computer science, Ben was most recently an applied machine learning researcher in a Stanford research lab. After graduating with his bachelor’s in engineering, Brian was most recently a product manager on the front lines of early AI adoption in industry. Ben and Brian started Taylor because they saw companies rushing to adopt AI but struggling to adapt one-size-fits-all chat models for their use cases." } ], "url": "https://www.ycombinator.com/companies/cembla", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cembla.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/41b0a27e54d4ae8ccb5d6d44522528df85b7ed7a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/53a4c68619911ccd19537c76a9f9a99ed50038a3.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 989748, "full_name": "Brian Kim", "title": "Founder", "founder_bio": "S23", "is_active": true, "linkedin_url": "https://linkedin.com/in/brian-kim-463a50142", "x_url": "https://twitter.com/brian_j_kim", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8df0ed53ec7dd20d9732a35304d67b041ac9175e.jpg" }, { "user_id": 515987, "full_name": "Benjamin Anderson", "title": "Founder", "founder_bio": "CTO", "is_active": true, "linkedin_url": "https://linkedin.com/in/andersonbcdefg", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4d46e310dd7ebda152ee67370014aad907ff6fc2.jpg" } ], "jobs": [], "news": [ { "title": "Data Engineering Startups funded by Y Combinator (YC) 2024 | Y Combinator", "url": "https://www.ycombinator.com/companies/industry/data-engineering", "date": "Apr 01, 2024" }, { "title": "The Journal by Fondo | Taylor AI launches: Tag your text data at scale", "url": "https://www.tryfondo.com/blog/taylor-ai-launches", "date": "Mar 26, 2024" }, { "title": "The Journal by Fondo | Taylor AI launches: Tag your text data at scale", "url": "https://www.tryfondo.com/blog/taylor-ai-launches", "date": "Mar 25, 2024" }, { "title": "Bruckner Ventures on LinkedIn: 🚨 Bruckner Ventures is thrilled to announce our investment in Taylor AI…", "url": "https://www.linkedin.com/feed/update/urn:li:activity:7136381855037100033/?actorCompanyId=95063899", "date": "Dec 01, 2023" }, { "title": "The AI Edge on LinkedIn: #ai #aitools #tech #productivity | 10 comments", "url": "https://www.linkedin.com/posts/the-ai-edge_ai-aitools-tech-activity-7095124082316185602-tVwh?utm_source=share&utm_medium=member_desktop", "date": "Sep 01, 2023" } ], "launches": [ { "id": 79451, "title": "Taylor — Tag your text data at scale", "tagline": "The API for on-demand text classification (No LLMs)", "body": "Hey everyone! 👋 We're Ben & Brian.\n\n**TL;DR** Use Taylor’s API to tag your free text faster and cheaper than a LLM can.\n\n**THE PROBLEM** High-volume, high-frequency text data (like user-generated content, chat completions, and lead communication logs) is difficult to sort, productize, and manage. You can tag text with LLMs, which works well on smaller datasets but is challenging at scale due to rate limits, high latency, and accuracy issues (“creative” labels). What if you could classify text in real time with no rate limits?\n\n**OUR SOLUTION** An API for classifying your text in milliseconds into hierarchical labels. For example, use our out-of-the-box **topic classification model** to tag your free text by topic.\n\n![uploaded image](/media/?type=post&id=79451&key=user_uploads/989748/3ee6956b-5fd4-4f09-a9f4-8150c204b8ac)\n\n**OUR ASKS**\n\n1. Make a request to our topic classification model! [Log in](https://www.trytaylor.ai/login), grab your API key, and then use [this starter code](https://docs.trytaylor.ai/Topic%20Tags/request#full-example) to get back topic labels.\n2. Not the labels you need? Email us ([founders@trytaylor.ai](mailto:founders@trytaylor.ai)) or book time [here](https://calendly.com/brian-r0o/taylor-ai).\n3. Follow us on [Twitter](https://twitter.com/TryTaylor_AI) and [LinkedIn](https://www.linkedin.com/company/taylor-ai/) to stay on top of our latest models and roadmap!", "url": "https://www.ycombinator.com/launches/KfT-taylor-tag-your-text-data-at-scale", "votes": 64, "created_at": "2024-03-18T03:17:06.573Z" } ] }, { "id": 29153, "name": "Coba", "slug": "coba", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/064ab4995b234ee61187e6d755a27338f57c5c90.png", "website": "https://www.coba.ai", "all_locations": "Monterrey, N.L., Mexico; Austin, TX, USA", "long_description": "Coba makes it easy for Mexican knowledge workers employed by US companies to earn in US Dollars and seamlessly spend locally in Pesos.\r\n\r\nOn average, a knowledge worker will lose $1,000 per year in hidden ForEx and transfer fees. In that process, their money will touch at least 3 different accounts adding time and steps along the way. These workers’ require more than simple money movement, they demand a financial solution that addresses their specific needs: banking, saving, spending - all in two currencies.\r\n\r\nCoba allows its users to not only deposit and save their earnings in a US account, but also access critical financial services at home in Mexico - from a local credit card to integrated bill pay. With Coba, remote workers can live across two currencies... efficiently and effortlessly.", "one_liner": "Dual Currency Accounts For LatAm", "team_size": 9, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1689886684, "tags": [ "Fintech", "Latin America", "Remittances", "Neobank" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Fintech" ], "regions": [ "Mexico", "United States of America", "Latin 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/coba", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/coba.json", "year_founded": 2022, "city": "Monterrey", "country": "MX", "linkedin_url": "https://www.linkedin.com/company/cobaremote", "x_url": "https://twitter.com/Cobaremote", "fb_url": "https://www.instagram.com/coba.remote/", "cb_url": null, "github_url": "https://github.com/coba-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/064ab4995b234ee61187e6d755a27338f57c5c90.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/339260dbbbe5f4927d4326716c8fa978a91f8aee.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 819558, "full_name": "Abraham Kuri Vargas", "title": "Founder", "founder_bio": "CTO & Co-founder at Coba. B.S. in Computer Science & Technology who has been developing software since 18 years old. I've been working in web development for 10+ years. Ruby on Rails expert. I'm the author of APIs on Rails(http://apionrails.icalialabs.com/book). 3D Printing enthusiast", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abraham-kuri-vargas-b41a2126/", "x_url": "https://www.twitter.com/kurenn", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d66e4654d439e42219f2be18ee5f64d46580f77a.jpg" }, { "user_id": 810779, "full_name": "Eduardo Lopez De Leon", "title": "Founder", "founder_bio": "I am an entrepreneur with 10+ years of experience building companies around the software and technology fields in the Americas. Developer by training. Dad, Husband, Regio. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/elopezdeleon/", "x_url": "https://twitter.com/edolopez", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4aeb48386ceaf890f6d51a1722e0ce65ef2d9781.jpg" }, { "user_id": 819594, "full_name": "Carlos Alberto Medellin Gonzalez", "title": "Founder", "founder_bio": "Co-founder of Coba. Former CFO of Icalia Labs. Finance Degree from Tec de Monterrey, Masters Degree from Copenhagen Business School. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/camego", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c47ff3b87d37d90b3fd9cc2590a9b26c5a706825.jpg" } ], "jobs": [ { "id": 69207, "title": "Coba.ai Hiring | Full-stack developers for US-MX cross-border fintech (remote US or MX)", "url": "https://www.ycombinator.com/companies/coba/jobs/9wju4KE-coba-ai-hiring-full-stack-developers-for-us-mx-cross-border-fintech-remote-us-or-mx", "location": "MX / US / Remote (MX; US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$84K - $120K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Node.js", "Ruby on Rails" ] }, { "id": 69208, "title": "Coba.ai Hiring | UI/UX designer for US-MX cross-border fintech (remote US or MX)", "url": "https://www.ycombinator.com/companies/coba/jobs/2cSKYwP-coba-ai-hiring-ui-ux-designer-for-us-mx-cross-border-fintech-remote-us-or-mx", "location": "MX / US / Remote (MX; US)", "type": "Full-time", "role": "Design", "role_type": "UI / UX", "salary_range": "$84K - $120K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "React Native", "Figma" ] }, { "id": 69209, "title": "Coba.ai Hiring | Marketing/G2M for US-MX cross-border fintech (remote US or MX)", "url": "https://www.ycombinator.com/companies/coba/jobs/9hV6Nxz-coba-ai-hiring-marketing-g2m-for-us-mx-cross-border-fintech-remote-us-or-mx", "location": "MX / US / Remote (MX; US)", "type": "Full-time", "role": "Design", "role_type": "UI / UX", "salary_range": "$50K - $80K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "React Native", "Figma" ] } ], "news": [ { "title": "Our favorite startups from YC's Summer 2023 Demo Day, Day 1 | TechCrunch", "url": "https://techcrunch.com/2023/09/06/ycombinator-demo-day-one-summer-2023/", "date": "Sep 06, 2023" } ], "launches": [ { "id": 73265, "title": "Coba 🇺🇸💸🇲🇽 — Dual currency accounts for LatAm", "tagline": "Earn in US Dollars and spend in Pesos. Live across two currencies.", "body": "[**Coba**](https://www.coba.ai/) allows international knowledge workers in Mexico to deposit their USD paychecks in US accounts and spend in pesos. One account…two currencies.\n\nHola 👋 ! We are the team behind Coba.\n\n![uploaded image](/media/?type=post&id=73265&key=user_uploads/891884/5561585a-e518-429a-bcf9-3f85a1bffa7a)\n\n### **🤔 The Problem**\n\nInternational knowledge workers earn in USD but live their day-to-day in Pesos. Moving money across borders is costly, complex and the existing banking infrastructure is slow. On average, a knowledge worker will lose $1,000 per year in hidden ForEx and transfer fees. In that process, their money will touch at least 3 different accounts adding time and steps along the way.\n\n### **💡 The Solution**\n\nCoba is the app where users can:\n\n* Access a single account to deposit their payroll, save in USD and send funds to Mexico.\n* Transfer Mexican Pesos to local bank accounts in seconds without fees and at competitive FX rates.\n* Receive a local credit card for daily expenses in Pesos that draws from their USD balance.\n\n**Earning and saving in USD… Living and spending in Pesos.**\n\n![uploaded image](/media/?type=post&id=73265&key=user_uploads/891884/b144f0dd-5495-4c5a-aa84-41c0c0ddea66)\n\n### **🇺🇸💸🇲🇽 How Do We Do It?**\n\n* **Trust**: Coba runs on existing, regulated banking infrastructure and tools\n* **Convenience**: A single app for two currencies\n* **Efficiency**: Proprietary payment rails mean more competitive FX rates and savings for our Users\n\n### **🇺🇸💸🇲🇽 Why Us?**\n\nFrom the Near-shoring capital of Latin America, Monterrey, MX, we live a cross-border reality. Not only have we employed remote teams across LatAm in the businesses we have operated, but we are remote workers ourselves and know first-hand the costs and complexity of moving money from USD to Pesos.\n\n### **🙏 The Ask**\n\nIf you currently have employees or friends in Mexico who are earning in USD and could benefit from an account, we would love to have them as early adopters. They can sign-up for our priority waitlist [**here**](https://coba.ai/onboarding.html).", "url": "https://www.ycombinator.com/launches/J3h-coba-dual-currency-accounts-for-latam", "votes": 34, "created_at": "2023-07-20T19:23:31.123Z" } ] }, { "id": 29154, "name": "Catamaran", "slug": "catamaran", "former_names": [ "Ultravity", "CatX" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0af944f6ad96c6f8c2095e8c485de560a528833.png", "website": "https://www.trycatamaran.com", "all_locations": "London, England, United Kingdom", "long_description": "Catamaran uses AI to help people make clearer, faster decisions about risk. Our platform brings all internal and external risk data into one easy-to-understand workspace. By automating data gathering, checking, and scenario testing, we help insurers, reinsurers, brokers, and investors quickly understand and manage their risks. Catamaran also provides a regulated marketplace to easily buy, sell, and manage insurance coverage.", "one_liner": "The AI-powered risk decision platform ", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1687023200, "tags": [ "Machine Learning", "Finance", "Analytics", "Insurance", "Investing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "Fintech", "Insurance" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/catamaran", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/catamaran.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/catamaranrisk/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0af944f6ad96c6f8c2095e8c485de560a528833.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": 635059, "full_name": "Benedict Altier", "title": "Founder", "founder_bio": "Benedict has advised more than 10 leading insurers and asset managers working across insurance, reinsurance, and risk modeling. He is also a front-end developer with a decade's worth of experience designing and building web applications. He graduated with a 1st class degree in Chinese Studies from the University of Oxford. As a visiting student at Peking University, he advised leading Chinese technology companies including a spin-out from Baidu. ", "is_active": true, "linkedin_url": "https://uk.linkedin.com/in/benedict-altier-0041748b", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1dab89abad066a8fdb09e97fb62b1a097a4d29d6.jpg" }, { "user_id": 1360323, "full_name": "Lucas Schneider", "title": "Founder/CTO", "founder_bio": "Building CatX to revolutionize risk transfer for insurers. Bringing my expertise in financial markets and investing to the insurance world. \n\nStarted my career in Credit Securitisation at Barclays in London where I structured and executed multiple transactions in excess of $10bn+ in value. Oxford PhD Candidate in Machine Learning for Gene Editing. Previously, leading the research team at a web3 hedge fund, focusing on infrastructure and decentralized finance investments.\n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/lucas-sch", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/358ede5a7b0831d4ff15db816976f97505db9b0f.jpg" } ], "jobs": [], "news": [ { "title": "CatX Raises US$2.7 Million to Bring More Alternative Capital into the Insurance Sector | Insurtech Insights", "url": "https://www.insurtechinsights.com/catx-raises-us2-7-million-to-bring-more-alternative-capital-into-the-insurance-sector/", "date": "Nov 24, 2023" }, { "title": "Our favorite startups from YC's Summer 2023 Demo Day, Day 1 | TechCrunch", "url": "https://techcrunch.com/2023/09/06/ycombinator-demo-day-one-summer-2023/", "date": "Sep 06, 2023" }, { "title": "Risk exchange start-up CatX accepted into Y Combinator accelerator - Artemis.bm", "url": "https://www.artemis.bm/news/risk-exchange-start-up-catx-accepted-into-y-combinator-accelerator/", "date": "Jun 23, 2023" } ], "launches": [ { "id": 88573, "title": "Catamaran: Intelligent Catastrophe Risk Analysis and Underwriting 🌊", "tagline": "The smartest way to analyze natural catastrophe risks for any property, location, or business.", "body": "Hey YC! We’re the CatX team, and we are excited to announce the launch of [Catamaran 2.0](https://trycatamaran.com/)—the smartest way to analyze natural catastrophe risks for any property, location, or business.\n\n🔍 **Problem**\n\nOrganizations today struggle with outdated, slow, and expensive processes for assessing natural catastrophe risks. Traditional tools lack comprehensive insights, require significant manual effort, and leave critical gaps in understanding how disasters like wildfires, hurricanes, earthquakes, and severe weather could impact their assets and portfolios.\n\n💡 **Our Solution**\n\nCatamaran makes catastrophe risk analysis effortless and powerful. Just upload your property details or any relevant documents, and Catamaran instantly generates comprehensive risk insights using extensive historical data across all major catastrophe perils—including wildfires, hurricanes, earthquakes, typhoons, weather, hail and more.\n\n\n\nPowered by advanced AI agents, Catamaran quickly identifies errors, provides clarity from complex datasets, and delivers insights previously only available through costly, manual underwriting.\n\nWe spent the past two years helping institutional investors understand, model, and invest in catastrophic risk. Frustrated by outdated workflows in underwriting and risk assessment amidst modernizing processes everywhere else, we built Catamaran as our solution.\n\n⚡ **What Catamaran Can Do:**\n\n* 📚 **Historical Risk Analysis:** Evaluate location-specific risk profiles based on hundreds of years of historical data.\n* 🛡️ **Optimal Insurance Protection:** Automatically identify the best insurance structures—parametric or traditional—tailored to your unique risk exposure.\n* 📄 **Advanced Document Extraction:** Effortlessly process complex, unstructured documents to rapidly extract key insights.\n* 📈 **Calculate Loss & Scenario Analysis:** Instantly conduct sophisticated scenario analyses to quantify potential losses for proactive risk management.\n\n![uploaded image](/media/?type=post&id=88573&key=user_uploads/635059/e8343eea-4ad1-4a95-8674-d2a4e1d2bfb8)\n\n⚙️ **Use Cases**\n\n* 🏦 **Insurers:** Accelerate underwriting, cut costs by up to 90%, and precisely manage portfolio risks.\n* 📊 **Brokers:** Transform your quoting process with faster, more accurate risk assessments.\n* 🏢 **Businesses & Investors:** Confidently evaluate and manage catastrophe risk exposure across investments, portfolios, and operations.\n* ⚖️ **Regulators:** Enhance regulatory oversight and compliance with transparent, data-driven risk analytics.\n* 🛠️ **Developers:** Easily integrate catastrophe risk analytics into your apps using our developer-friendly API\n\n![uploaded image](/media/?type=post&id=88573&key=user_uploads/635059/de65f188-e565-4c35-99e7-4a149dfc73fb)\n\n👥 **The Team**\n\nCatamaran is built by the CatX technology team led by:\n\n**Benedict Altier**, insurance consultant with experience modeling programs for leading insurers like AXA, Beazley, and MS Amlin, ex-Oxford.\n\n**Lucas Schneider**, Oxford PhD candidate in Machine Learning, ex-Barclays Investment Banker, ex-McKinsey.\n\n**Jon Wood**, formerly on the retro leadership team at top insurance broker AON and previously at Guy Carpenter (Marsh) and Willis.\n\n**Matthew Salamon**, experienced software developer formerly at AON, PwC and Balancer.\n\n🙏 **Our Ask**\n\nIf you manage or insure properties at risk, we'd love to show you how Catamaran can streamline your process and enhance your decision-making:\n\n\\- Email us directly: [catamaran@catxglobal.com](mailto:benedict@catx.re)\n\n\\- Schedule a quick demo here: \\[[trycatamaran.com](http://trycatamaran.com)\\]()\n\nCatamaran: The future of intelligent catastrophe risk analysis.\n\n– Benedict, Lucas & the CatX Team\n\n![uploaded image](/media/?type=post&id=88573&key=user_uploads/635059/5ec96af3-9467-4beb-9127-d6aa336ed3af)\n\n![uploaded image](/media/?type=post&id=88573&key=user_uploads/635059/a70b0e67-95fe-4e9a-aaf4-c5f74b643729)\n\n", "url": "https://www.ycombinator.com/launches/N2b-catamaran-intelligent-catastrophe-risk-analysis-and-underwriting", "votes": 45, "created_at": "2025-03-13T17:17:13.085Z" }, { "id": 72510, "title": "CatX - the digital marketplace for insurance risk", "tagline": "We are the best way for insurance companies to offload risk and for asset managers to invest in an attractive, uncorrelated asset class. ", "body": "CatX is a digital marketplace connecting insurance carriers with institutional investors to trade and transfer insurance risk efficiently. We help to make insurance risk models understandable and accessible for asset managers so they can unlock new sources of return. In addition, we streamline and digitalize the entire risk transfer process, so insurers can get faster, cheaper access to capital from our partner funds.\n\n**❌ The Problems:**\n\n1. **Rising hedging and funding costs for insurers,** US property rates are up 265% over a six-year period\n2. **Highly inefficient risk transfer markets,** with average cost ratios of 40% remaining largely unchanged despite recent technological advancements\n3. **Slow and expensive set-up and structuring processes** when issuing new insurance-linked products, involving multiple parties\n4. **Little secondary market liquidity for insurance-linked securities** due to their complex economics and limited availability of risk models\n5. **Poor analytics or data-drive insights** for understanding novel areas of risks\n\n**💡Our Solution**\n\nCatX addresses these challenges by simplifying the market and providing access to world’s most advanced modeling technologies directly within our platform. In addition, we streamline the origination process, including legal setup and pricing, and offer an electronic secondary trading venue coupled with sophisticated analytics.\n\nCatX helps:\n\n* **Insurers** to access capital at **better rates** through direct capital markets access,\n* **Investors** to unlock new investment opportunities in an uncorrelated asset class,\n* **Protection buyers** find more efficient structures to offload risks, reducing the protection gap for novel and emerging risks.\n\n ![uploaded image](/media/?type=post&id=72510&key=user_uploads/1360323/ca917659-8d2c-4371-a236-a1fc95a58903)\n\n\n**🙏Our Ask**\n\nConnect us with\n\n* **Investors** interested in accessing new sources of uncorrelated returns,\n* **(Re)insurers** looking for access to more flexible capital at better rates,\n* **Businesses** looking to more efficiently transfer risks (property, weather, energy, cyber)\n* **Risk model providers** seeking new distribution opportunities.\n\n**✉️ Contact**\n\nIf you have any questions or suggestions, feel free to reach out to [Ben](https://www.linkedin.com/in/benedict-altier-0041748b/) or [Lucas](https://www.linkedin.com/in/lucas-sch/) directly or email [founders@catxglobal.com](mailto:founders@catxglobal.com).", "url": "https://www.ycombinator.com/launches/IrW-catx-the-digital-marketplace-for-insurance-risk", "votes": 23, "created_at": "2023-06-24T19:31:35.892Z" } ] }, { "id": 29156, "name": "CodeStory", "slug": "codestory", "former_names": [ "codestory" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a9169e160dd38d456fe04d3f659d2d15573346d.png", "website": "https://aide.dev", "all_locations": "London, England, United Kingdom", "long_description": "We're building Aide, an AI-native IDE designed for engineers to enjoy problem-solving with agents by their side.\r\n\r\nWe're currently a team of two, based in London, United Kingdom. Between us, we have been tech leads with experience building testing infrastructure at Meta, payment systems for 150k merchants in India, been an ACM ICPC world finalist and Open-Source contributor to critical infrastructure including gRPC and the Bazel build system. We love dev tooling, and enjoy thinking about the future of programming.", "one_liner": "Aide is an AI-native , privacy-first IDE built on top of VSCode", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1688064768, "tags": [ "Developer Tools", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/codestory", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/codestory.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/codestory-ai/", "x_url": "https://twitter.com/aide_dev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/codestoryai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a9169e160dd38d456fe04d3f659d2d15573346d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/056917f629daaa193d3613f73299be5a5139b4e3.png" ], "primary_partner": null, "founders": [ { "user_id": 1045830, "full_name": "Sandeep Pani", "title": "Founder", "founder_bio": "Currently building CodeStory. I have worked extensively in the devtooling and AI space for the last 5 years as the tech-lead for testing infrastructure at Meta and as the founding engineer for Findly.ai (YC S22).\nPassionate about making developers more productive and want to build for a world where developers have powerful AI agents working together to ship more value.\n\nI love making computers do things. 👾", "is_active": false, "linkedin_url": "https://linkedin.com/in/sandeep-pani-3a87117b", "x_url": "https://twitter.com/skcd42", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ab170ad79387e128615d107d16e758a4ccecac0f.jpg" }, { "user_id": 752193, "full_name": "Naresh Ramesh", "title": "Founder", "founder_bio": "Currently building CodeStory, an AI-native IDE designed for engineers to enjoy problem-solving with agents by their side. I've built payments infrastructure to handle 150k merchants and scaled an engineering team from 5 to 35.", "is_active": false, "linkedin_url": "https://linkedin.com/in/naresh-ramesh", "x_url": "https://twitter.com/ghostwriternr", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3d7f17b10b6e8f552877514e8339cccaa28b0c2f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85305, "title": "Aide — The Open Source IDE to solve hard problems", "tagline": "Code with the speed and knowledge of the best programmer you know. Aide is by your side.", "body": "Hey all! We’re Sandeep and Naresh from CodeStory. Aide () is the IDE for engineers to solve hard problems where changes are not limited to a single file but require iteration across multiple files. We are also open source at . The main repositories are the:\n\n* [IDE](https://github.com/codestoryai/ide) (the VSCode fork)\n* [Sidecar](https://github.com/codestoryai/sidecar) (our rust binary the AI brains)\n\nCheck out the [editor in action](https://youtu.be/M82aLgBzdmk):\n\nWhen we started building CodeStory last year, we were set on building the best chat and autocomplete experience in the editor, which we believed to be the best use of LLM for code generation.\n\nWe quickly (after 6 months) realised that with the increasing trend of LLM coding capabilities, the UX around chat and copilot felt limiting to the real abilities of these LLMs to help the developer accomplish more. \n\nIn March this year, while debating what to focus our energy on, we decided to experiment with the idea: “What if LLMs could make edits across multiple files without breaking the logic?” So after a month of hacking, we tested our framework against [SWE-Bench Lite](https://www.swebench.com) and were very surprised (and kind of shocked) that Aide became the SOTA, resolving 43% of the issues.\n\nWe instantly knew we had to build the multi-file editing experience into the editor and do it well. \n\nWe decided NOT to put energy into building a better “copilot autocomplete” or “chat,” but rather go all in on shipping a better “multi-file editing flow.”\n\nWhile multi-file edits allow for larger units of work to be done, they have their set of problems:\n\n1. Lack of control to granularly iterate when there is a small issue within a large change\n2. Inability to roll back to older states when using over a long coding session.\n3. Changes to the local scope, especially when context is not provided exhaustively, break the codebase globally\n4. Context about edits made in a previous editing session is not kept around\n\nTo start in this direction, we forked VSCode 15 months ago as the most rock solid foundation to build an editor on top of and put quite a lot of work into solving some of the above stated issues with multi-file editing:\n\n1. We built a proactive agent which looks at the linter errors (Language server and your own feedback) and proactively comes back with fixes and suggestions for improvements.\n2. Special UX and integration with models for always breaking down changes into small, logical units that are easy to understand and have live previews using decorations in the editor, so changes can be applied easily, in parts or all at once.\n3. Native support for checkpoints and rollbacks: We couldn’t use git, of course, so we hooked into the TextModel implementation in VSCode (which is its in-memory representation of a file) to keep track of file versions across AI changes, while also preserving the undo stack. These checkpoints are exposed in the UI, letting you easily move back and forth when needed without having to worry about uncontrolled changes.\n4. Integrate tightly with the Language Server API on the editor to gather diagnostics from the whole codebase when changes occur, to ensure unintended breakages are quickly caught and propose fixes. For instance, the LLM changing a function signature should also fix the entire call stack.\n5. Maintain a continuous, long session context. Because our editor works entirely locally (no intermediary server interaction, just LLM calls directly from your machine!), the Rust binary shipped with the editor listens to all events and changes made by both the developer and AI to keep a continuous context, so subsequent changes are always better informed.\n\nThough, we, of course, didn’t just stop with multi-file edits.\n\n1. Even with single-file changes, our Rust binary leverages tree-sitter to structurally understand a file and use a combination of Search-And-Replace style editing with tight editor integration to edit multiple locations within a file in parallel to make faster edits, especially useful in large files. And threw in AST navigation for developers to move faster around them.\n2. To gather context for codebase-wide queries, rather than try to maintain lossy embeddings, the binary builds a repo map to let the LLMs filter down the most useful parts of the codebase per query.\n3. Wherever possible, use the new prompt caching capabilities (also exposed as a first-class citizen in the editor to give developers more control) to cache the most relevant files in a coding session — which largely speeds up response times.\n4. Build a macOS Spotlight style widget to quickly send our edit instructions for the agent to pick up and work while you focus on the code front and centre.\n\nSince everything runs locally on your machine, this is also a more privacy-friendly approach and gives the optional benefit of using your keys & contracts with cloud model providers — and we’re more than happy to speak with companies that are interested in setting this up. If you are someone who loves tinkering with LLMs, all the requests & responses are just stored on a SQLite DB on your machine (and nothing at our end), which is data that could perhaps be used in the longer run to fine-tune or build features to improve AI performance over time within teams.\n\nThere is still a ton to do in terms of robustness and capabilities. Despite all the progress, we still feel we’ve only explored about 1% of what coding with AI could look like. For now, we’d love for you to try out Aide at . To keep things simple, we have a standard subscription plan with a 2-week trial to try out the editor. We’d love to hear your feedback and ideas!\n\n![uploaded image](/media/?type=post&id=85305&key=user_uploads/89898/ac8a2779-6f50-4489-bd96-b7739eb66724)\n\n", "url": "https://www.ycombinator.com/launches/MBt-aide-the-open-source-ide-to-solve-hard-problems", "votes": 18, "created_at": "2024-11-05T21:54:43.869Z" }, { "id": 73829, "title": "CodeStory ✨ is an AI-powered mod of VSCode.", "tagline": "CodeStory is a full-blown AI-powered IDE built to tackle any complex task, so you can accomplish your goals faster.", "body": "TLDR: CodeStory ✨ is an IDE for engineers of the future. CodeStory enables deep integration for AI assistants with your development environment, so your pair programmer can complete complex tasks and get it right.\n\n### The problem ⚙️\n\nAs programmers, we like to break down our tasks into small chunks that can be executed independently. Consider the simple task of **adding a widget to show sales numbers on your website** which can involve multiple steps:\n\n* Database queries to fetch the data on the backend\n* Exposing an API route to make the data available for the frontend\n* Frontend UI and API integration to complete the task\n\nEven within a single codebase, such a task requires finding and making the right changes in multiple parts and connecting them together. Though this can be done independently and in parallel, there is only so much an engineer can do at a time.\n\nWe thus decided to build CodeStory, **a next-generation code editor that is AI-first, where humans assist powerful AI agents instead of the other way around!** We have started with a VSCode extension in order to prototype the capabilities.\n\n### Watch CodeStory debug and build itself! 🤯\n\nIt would be a shame if CodeStory couldn’t debug or build itself... so we put it to work!\n\nHere we asked CodeStory to do proper dependency injection (you can see it using references, searching for symbols using ripgrep and cmd+click on a symbol like a true programmer!)\n\n\n\nIn the following video, we asked CodeStory to fix an annoying bug with a race condition happening in our async codebase and write a test to make sure the issue does not repeat again.\n\n\n\n### How we are solving it? ✨\n\nTo be effective as software engineers, we need access to tools. We realized early on that even our editor is full of features that aid in writing code and debugging it.\n\nTo make CodeStory effective as an engineer, we gave it the following powers 🔋:\n\n* Language Server integration 📝\n * CodeStory can ask for references of a symbol or cmd+click to a symbol to investigate more\n* Terminal access 🖥️\n * CodeStory can freely run commands on the terminal when required in a sandbox environment.\n* Code Graph of the whole codebase 〽️\n * CodeStory knows how different classes and modules are linked to each other, so it can search your whole codebase semantically (both natural language)\n\n### The future 📡\n\nWe love AI-powered development and envision a future where humans are gluing AI agents to work together.\n\n### The team 👥\n\nHi all! We are Naresh and Sandeep, co-founders of [CodeStory.ai](http://CodeStory.ai) and close friends for over a decade. We met in our freshman year at University and since then Sandeep worked as Tech leads for Testing Infrastructure at Meta and building out devtooling for engineers, and founding engineers at startups (YC backed!) and fintech.\n\n### Our ask 🙏\n\nWe are currently on-boarding users for CodeStory slowly to gather detailed feedback. If you’d love to try CodeStory, we are active on [discord](https://discord.gg/Cwg3vqgb) or [twitter](https://twitter.com/codestoryAI), and would be happy to help you onboard and answer any questions.\n\nYou can also reach out to us directly at [founders@codestory.ai](mailto:founders@codestory.ai) to talk more about the future of AI-powered coding. We are very, very excited about this!", "url": "https://www.ycombinator.com/launches/JCn-codestory-is-an-ai-powered-mod-of-vscode", "votes": 38, "created_at": "2023-08-04T22:58:55.458Z" } ] }, { "id": 29157, "name": "Orbio Earth", "slug": "orbio-earth", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c8b46bfc8422d4590d819ae4695c62834845a549.png", "website": "https://www.orbio.earth/", "all_locations": "Remote", "long_description": "Orbio uses satellite imagery to track methane emissions from the oil & gas industry. We sell the data to financial companies that want to invest into the best performing energy companies.\r\n\r\nUntil today, oil & gas companies use excel-based emission factors to calculate and report their emissions. As these excel-based emission factors underestimate actual emissions by ~70%, the finance companies that invest into oil & gas can’t mitigate against incoming risks from new regulations, \r\n\r\nWe have built a technology that can for the first time use satellite images to track methane from every single oil & gas facility on the planet, replacing emission factors and allowing finance companies to make the best bets on oil & gas companies that will withstand a wide avalanche of incoming regulation. In the summer 2023 our satellite-based technology got ranked #1 both in terms of accuracy and sensitivity of methane emission events by Stanford University in a peer-reviewed study, beating a range of multi-bn dollar competitors like Maxar.\r\n\r\nLearn more at https://orbio.earth", "one_liner": "Tracking methane emissions with satellites", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1687128394, "tags": [ "Satellites", "Analytics", "Climate", "Energy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/orbio-earth", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/orbio-earth.json", "year_founded": 2021, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/orbioearth/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/orbio", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c8b46bfc8422d4590d819ae4695c62834845a549.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 934621, "full_name": "Robert Huppertz", "title": "Founder", "founder_bio": "Co-Founder Orbio Earth GmbH; Ex-ML Engineer NASA Harvest; Ex-Cervest", "is_active": true, "linkedin_url": "https://linkedin.com/in/robert-huppertz-6536a0122", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f8439326c44aa077d7671d517304a4f7c229f0ed.jpg" }, { "user_id": 855020, "full_name": "Jack Angela", "title": "Founder", "founder_bio": "Climate optimist building out product and commercial strategy @ Orbio Earth", "is_active": true, "linkedin_url": "https://linkedin.com/in/jack-angela-bab326a5", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a60ad6413ab0c3d137f4e6e8d9d64f5b9ebf567a.jpg" } ], "jobs": [], "news": [ { "title": "Orbio Earth finds methane leaks that could cost oil companies billions this year | TechCrunch", "url": "https://techcrunch.com/2024/03/13/orbio-earth-seed-round/", "date": "Mar 13, 2024" } ], "launches": [ { "id": 72376, "title": "🛰️ Orbio Earth - Monitoring methane emissions with satellites", "tagline": "We help sustainability analysts manage methane emission risks", "body": "**tl;dr** _Orbio makes it easy for sustainability and risk professionals to identify large methane emission risks across global energy portfolios. If you’re interested in finding out more check out our website _[_here_](https://www.orbio.earth/)_, and feel free to book a product demo _[_here_](https://www.orbio.earth/orbio-demo)_!_\n\nFor more information read on below 👇\n\nHi everyone, thanks for stopping by our launch YC post. We are Rob and Jack and we are on a mission to power the low-carbon transition through methane monitoring.\n\n💨 **Why methane I hear you ask?**\n\nMethane emissions from the energy industry, if prevented would have the climate impact equivalent to taking all cars and trucks off the road globally. It is a short-lived pollutant, therefore stopping this gas getting to the atmosphere is one of the best levers we have in the climate change mitigation fight.\n\n🚫 **The Problem: Poor data on understanding where emissions occur**\n\nExisting data collection processes are manual, involving hand-held cameras on a site, expensive and not frequently available on all 12 million oil & gas assets globally. Poor data collection processes mean poor data.\n\nExisting methane inventories under-represent methane emissions by around 70%. This is preventing sustainability and risk analysts from managing emissions in their global energy portfolios. Mismanagement of these emissions can lead to stock devaluations, stranded assets and increases global warming.\n\n⭐ **The solution: Global and frequent methane emissions data**\n\nOrbio helps sustainability and risk analysts identify where in their large energy portfolios the biggest methane emission risks are. Identifying previously unknown risks and doing this on a frequent basis gives these analysts the tools to effectively manage emission risks.\n\n🤖 **How it works: Processing non-methane emission satellite data**\n\nOrbio leverages the power of satellite data. We have developed an algorithm capable of processing data from satellites not previously designed to monitor methane emissions. Using these satellites enables us to deliver world-leading data across global scales, at an asset level (e.g. an oil well) and on a frequent basis.\n\n_Benchmarking assets, operators and countries on methane emission performance:_\n\n![uploaded image](/media/?type=post&id=72376&key=user_uploads/855020/9256c560-1b9c-43dd-b0ff-f4dba82c8f01)\n\n_\\\nMapping out where these methane emission risks lie in energy portfolios_\n\n![uploaded image](/media/?type=post&id=72376&key=user_uploads/855020/6cf6d1c0-82c8-45ed-bdef-7cb274bbd1c4)\n\n💰 **The opportunity: A growing market being pulled by new regulation**\n\nA sweep of regulation being introduced across the globe in 2023. This is putting pressure on the energy industry, financial professionals and insurers, totalling around 60,000 companies worldwide, to get a better understanding of what the associated emission risks in their energy portfolios.\n\n🙏 **Our ask: How you can help**\n\n* Connect us with sustainability risk analysts in the energy, finance and insurance industries. [Click here](https://www.linkedin.com/in/jack-angela-bab326a5/)\n* We are hiring, if you know anyone on the marketing and commercial side we would love to have an intro! [Click here](https://www.orbio.earth/careers)", "url": "https://www.ycombinator.com/launches/IpM-orbio-earth-monitoring-methane-emissions-with-satellites", "votes": 28, "created_at": "2023-06-19T22:48:41.505Z" } ] }, { "id": 29158, "name": "Feanix Biotechnologies", "slug": "feanix-biotechnologies", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8ebea1f97b9fb9414d0775e2f2eff98efacb7b81.png", "website": "https://www.feanixbio.com/", "all_locations": "Asheville, NC, USA", "long_description": "Feanix is a trailblazing force in the trillion-dollar animal breeding industry. Feanix leverages proprietary genetic testing advancements to provide genetics and breeding as a service. \r\n", "one_liner": "Farm Genetics Made Easy - Using DNA and Software", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Agriculture", "launched_at": 1691628578, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Industrials", "Agriculture" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/feanix-biotechnologies", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/feanix-biotechnologies.json", "year_founded": 2022, "city": "Asheville", "country": "US", "linkedin_url": "https://www.linkedin.com/company/feanix-inc/about/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8ebea1f97b9fb9414d0775e2f2eff98efacb7b81.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1142918, "full_name": "Mitchell Angove", "title": "Founder", "founder_bio": "Hi, I am Mitch and I am a Co-Founder of Feanix Biotechnologies. At Feanix we focus on utilizing DNA to create a new generation of efficient and healthy agriculture. I grew up on a farm and have spent a lifetime in agriculture working to make a better future of food. I have a Bachelors in Genetics and a Masters in Animal Science. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mitchell-angove-044b53163/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6692886c94c6818b74020b6dd7f5a9ba0fc2258d.jpg" }, { "user_id": 1155754, "full_name": "Tom Bishop", "title": "Founder", "founder_bio": "Co-founder and CSO of Feanix Biotechnologies. Completed a BSc with honors in Biochemistry and PhD in Genetics at the University of Otago in New Zealand. Was a Postdoctoral Scholar in the department of Animal Science at UC Davis for five years. Research highlights include developing a chemical treatment to improve regeneration of non-regenerative tissues, developing a transgene to differentiate between X and Y chromosome sperm, and developing a new method for transgene delivery to avian embryos.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tom-bishop-64253a280/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7239e1062111af8dbd2fd3cb30d94de67fb72067.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73986, "title": "🐄 Feanix Bio - GEN AI: GENetics for Artificial Insemination", "tagline": "Revolutionizing the trillion-dollar animal breeding industry by combining genomics and breeding advising software", "body": "📈**Revenue**: We launched our first test at the end of March and have done over $100,000 in cumulative revenue\n\n![uploaded image](/media/?type=post&id=73986&key=user_uploads/1142918/a1fb92c2-52f6-4193-a356-df4d183df9b6)\n\n**🚜Market**: Animal breeding is a trillion dollar industry.\n\n❔**Problem**: Herds today suffer from a proliferation of genetic defects due to massive inbreeding over the past 50 years.\n\n✨**Solution**: Breeding as a service. Our breeding software platform, powered by our proprietary genetic testing, makes the optimal breeding decision easy. Farmers juggle many roles, we make sure geneticist is not one. With Feanix, farmers make the best pregnancies, create healthy and productive cows, and focus on running their business.\n\n⚙️**How it Works**: Farmers send us a single hair from their cows. We genetically test each hair for mutations. Using machine learning, we search the bank of parent genetics available to find each cow’s perfect match. Farmers approve their matches. We then order the semen and make their pregnancies happen.\n\n![uploaded image](/media/?type=post&id=73986&key=user_uploads/1142918/4a05dfb3-d674-4458-bc00-3c7b6c8035fe)\n\n⏳**How we got here**: In an effort to improve his hobby racing pigeon flock, Tom discovered two new genetic technologies. The first, a way to extract DNA from just a single feather. The next, a novel mutation detection method. Our team quickly realized the potential of Tom’s inventions to revolutionize agriculture. We then developed a software platform based around machine learning and genetic matching to best utilize the genetic information farmers receive from our tests.\n\n# We Live and Breathe Agriculture\n\n🐦 [Tom](https://www.linkedin.com/in/tom-bishop-64253a280/): Drives our scientific vision. Raised on a New Zealand dairy farm, understands the science behind everything ag, BS, Honors, PhD, and Post-Doc in Agricultural Genetics, avid pigeon racer and geneticist. Chat with me about #pigeon-racing #invasive-species\n\n🐄 [Mitchell](https://www.linkedin.com/in/mitchell-angove-044b53163/): Empowers farmers with our technology. 23+ years experience in dairy farming. Previous research lead at the largest dairy ag company. B.S in Genetics and Masters in Animal Science from UC Davis. Chat with me about #rewilding #farm-economics\n\n# Share: [LinkedIn](https://www.linkedin.com/company/feanix-biotechnologies-inc) [Website](https://www.feanixbio.com/)\n\n# If you know any farmers or Ag Companies who might benefit, please give us an intro!\n\n# [founders@feanixbio.com](mailto:founders@feanixbio.com)", "url": "https://www.ycombinator.com/launches/JFK-feanix-bio-gen-ai-genetics-for-artificial-insemination", "votes": 32, "created_at": "2023-08-10T01:43:26.020Z" } ] }, { "id": 29159, "name": "Healthtech 1", "slug": "healthtech-1", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/15cc6519a2b0765f7891150168879dacd368471a.png", "website": "https://www.healthtech1.uk/", "all_locations": "London, England, United Kingdom", "long_description": "Healthtech-1 builds clinical AI that navigates patients to the right place, first time. Today we automate eligibility checks, triage and appointment booking for 1,600+ NHS GP practices.\r\n\r\nTomorrow, every healthcare appointment - GP, pharmacy, dentist, physio - is instantly bookable on bookable.health.\r\n\r\nWhy now?\r\nThe NHS has come a long way, but access to it hasn't. Patient satisfaction is at a 25-year low. Automating access to care - eligibility, triage, booking - is how we reverse the trend.", "one_liner": "Navigating patients to the right place, first time.", "team_size": 40, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1688443537, "tags": [ "Health Tech", "Workflow Automation", "Digital Health", "Healthcare", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "We exist to make every NHS appointment [Bookable](https://bookable.health/). Presently only 1% of NHS appointments are easily accessible to patients. For good reason, barriers exist to hide these behind triage forms and long phone line queues. We think we can solve this." } ], "url": "https://www.ycombinator.com/companies/healthtech-1", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/healthtech-1.json", "year_founded": 2022, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/healthtech-1/", "x_url": "https://twitter.com/healthtech_1", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/15cc6519a2b0765f7891150168879dacd368471a.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": 860223, "full_name": "Raj Paul", "title": "Founder", "founder_bio": "NHS Clinical Entrepreneur who grew up running around my parents primary care practice. Ex-management consultant who delivered intelligent automation projects for global banks. \n\nSometimes I teach people how to ski ⛷️", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rajkumarkohli", "x_url": "https://twitter.com/rajpkohli", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1b635c75d727092621d084dc3cbf9ec18be23acd.jpg" }, { "user_id": 857509, "full_name": "Peter Huang", "title": "Founder", "founder_bio": "Cofounder and Head of Product of Healthtech 1. \n\nBritish Born Chinese based in London. A deep generalist with skills in product, growth & engineering. Most recently a Web Engineer @ Monzo.\n\nI'm building a health tech automation company with a best friend from school! This is our 2nd company together, having found our true Ikigai in helping a national health system thrive. There isn't a convincing plan to fill the huge staffing gap in the NHS. This is where our automation platform fits in.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/petejayhuang", "x_url": "https://twitter.com/PeteJayHuang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/25f1e64672b7b8c5c7da03dfad2622231912baec.jpg" } ], "jobs": [ { "id": 90068, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/healthtech-1/jobs/UZRAH1c-account-executive", "location": "Stratford, East London", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "£45K - £90K GBP", "equity_range": "0.01% - 0.10%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 90074, "title": "Senior Product Engineer", "url": "https://www.ycombinator.com/companies/healthtech-1/jobs/rVuqHps-senior-product-engineer", "location": "Stratford, East London", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£80K - £130K GBP", "equity_range": "0.05% - 0.20%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "Healthtech-1 raises $3.5m to automate admin in doctors surgeries ", "url": "https://sifted.eu/articles/healthtech-1-raise-monzo-alumni-news", "date": "Sep 18, 2024" }, { "title": "12 hospital tech startups to watch, according to VCs | Sifted", "url": "https://sifted.eu/articles/12-hospital-tech-startups-to-watch-according-to-vcs#:~:text=Gilmartin%2C%20investor%2C%20AlbionVC-,Healthtech%2D1%20%E2%80%94%20UK,-Healthtech%2D1%20automates", "date": "Feb 16, 2024" } ], "launches": [ { "id": 73529, "title": "Healthtech-1 💙 Making free healthcare sustainable", "tagline": "by automating repetitive processes, starting with the first touchpoint: new patient registrations", "body": "**Healthcare systems across the world spend $1.1 trillion\\* on repetitive processes completed manually by healthcare staff.** [Healthtech-1](https://www.healthtech1.uk/) automates repetitive processes for healthcare systems. We’re starting with the world’s most famous: the NHS. We’re already live in over 100 primary care practices, and we’re hiring.\n\n---\n\n### **Problem**\n\nIn Britain, from the moment you first open your eyes, to the moment you finally close them, you’re cared for by the NHS free at the point of delivery _\\- it’s a beautiful thing_ 💙\n\nThe NHS is a safety net for the most vulnerable people in British society, and Europe’s biggest employer. This year, as the NHS turns 75, **9/10 people agree that healthcare should be free of charge,** and more than 8/10 of agree that the NHS makes them proud to be British.\n\nBut at the current rate, the NHS won’t see its 100th birthday. Post-pandemic, Britain's most treasured institution is in crisis. **Patient satisfaction is at a 25-year low and 1/7 of staff are in the process of leaving, citing mental and physical exhaustion.**\n\nLonger lives and an ageing population are steadily increasing the complexity and pressure of providing healthcare. **The increasing demand is unsustainable unless the cost of providing care can be massively reduced.**\n\nThe largest single cost is the staff. The NHS pays a $93bn wage bill, for 470k administrators, 740k clinicians, and 50k managers\\*\\*. All of whom spend an eye-watering amount of time on manual repetitive processes: data entry, summarisation, filing, scheduling..._the list goes on._\n\nThe current plan is “hire more staff”, but recruitment isn’t the answer.\n\n### **Solution**\n\nHealthtech-1 uses the latest technology to automate repetitive processes for healthcare organisations. The first automation launched 18 months ago for new patient registrations is now live in over 100 NHS Primary Care practices across England saving over 1000 hours of staff time per week.\n\nSo far we’ve added the equivalent of 25 full-time staff to the NHS providing a 9.8/10 ⭐️ experience to patients, for **half the cost.** That’s how you make free healthcare sustainable.\n\n![uploaded image](/media/?type=post&id=73529&key=user_uploads/860223/c5a83841-8d79-42f0-9689-0a48dee0e89e)\n\nBased out of Raj's parents' primary care practice, the Healthtech-1 team is systematically automating the repetitive processes they experience every day.\n\n### **Team**\n\nIt started as two school friends, now **we’re a team of 5 engineers, 3 doctors, and an accountant.**\n\n[**@Peter Huang**](https://www.linkedin.com/in/petejayhuang/) is an ex-Monzo software engineer that has built products that millions of people love. [**@Raj Kohli**](https://www.linkedin.com/in/rajkumarkohli/) is an NHS Clinical Entrepreneur who has delivered intelligent automation for global banks. After starting our first company, we jumped into healthcare to support Raj’s parents during the pandemic.\n\nWe’re here at YC to redirect the world’s best talent to one of the world’s greatest opportunities for good: universal healthcare.\n\n![uploaded image](/media/?type=post&id=73529&key=user_uploads/860223/7d4df318-8951-4d3d-9137-23a006c6d574)\n\n### **Ask**\n\nIf you know any operators or engineers interested in making something people need, please intro them to [raj@healthtech1.uk](mailto:raj@healthtech1.uk).\n\n\\-\n\n**References:**\n\n_\\*$9 trillion spent on healthcare (_[_WHO, 2022_](https://www.who.int/publications/i/item/9789240064911)_). Admin spend varies between 10-30% depending on the geography (_[_Health Affairs, 2022)_](https://www.healthaffairs.org/do/10.1377/hpb20220909.830296/)_. Let’s assume 12%._\n\n_Global Healthcare Admin spend: $9tr \\*12% = $1.08tr_\n\n_\\*\\*$8.4bn GP practices, $84.6bn in hospital. (_[_The Kings Fund, 2023_](https://www.kingsfund.org.uk/audio-video/key-facts-figures-nhs)_)_\n\n_NHS total staff salaries: 8.4bn + 84.6bn = $93bn._", "url": "https://www.ycombinator.com/launches/J7x-healthtech-1-making-free-healthcare-sustainable", "votes": 267, "created_at": "2023-07-28T06:01:12.000Z" } ] }, { "id": 29160, "name": "Letterbook", "slug": "letterbook", "former_names": [ "Usher", "Martin" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c6c57e5c710ca16dd9d6aada5b18cbe7dbed8be8.png", "website": "https://www.letterbook.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Letterbook is the AI-native alternative to Zendesk, Freshdesk, Zohodesk, and Intercom. We help companies manage and resolve customer support tickets across email, in-app feedback, and website forms. Our AI will triage your tickets, write replies, and build your knowledge base.", "one_liner": "AI-native customer support platform", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1689104591, "tags": [ "Customer Service", "Customer Support", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/letterbook", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/letterbook.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/letterbook-ai/", "x_url": "https://x.com/LetterbookAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c6c57e5c710ca16dd9d6aada5b18cbe7dbed8be8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/77b180a97c11db19a00c102eeab6b1ae4c0c027f.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6a424767660297d0bfcb706709123650005cc39b.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1211344, "full_name": "Ethan Hou", "title": "Founder", "founder_bio": "Founder", "is_active": true, "linkedin_url": "https://linkedin.com/in/ethan-hou10", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/08674f0ee0965bf332f334e7c9d09f714a7e5ce1.jpg" } ], "jobs": [], "news": [ { "title": "These Yale and Berkeley dropouts just raised $2 million to build an AI assistant that could rival OpenAI | VentureBeat", "url": "https://venturebeat.com/ai/these-yale-and-berkeley-dropouts-just-raised-2-million-to-build-an-ai-assistant-that-could-rival-openai/", "date": "Jan 30, 2025" }, { "title": " 😺 Bye, Siri | Product Hunt", "url": "https://www.producthunt.com/newsletters/archive/28671-bye-siri", "date": "Mar 26, 2024" } ], "launches": [ { "id": 99773, "title": "Letterbook - AI Customer Support Built for Startups", "tagline": "Connect your inbox, database, and Stripe. AI resolves your customer service tickets.", "body": "Hey everyone, we’re Dawson and Ethan, the founders of Letterbook.\n\n![uploaded image](/media/?type=post&id=99773&key=user_uploads/1399924/882cde5c-ce40-4fa9-ac07-a8b8104f3fa9)\n\n## The Problem\n\nWe grew our last product, Martin (an AI personal assistant), to 100,000 users. At one point, we'd get 50 customer support tickets every day, across email and help forms:\n\n* \"How do I use this feature?\"\n* \"Can I get a refund?\"\n* \"I can't log into my account.\"\n\nI had no choice but to hire a virtual assistant in the Philippines to reply to users and solve billing issues. I had to use Zendesk to manage tickets, which was built 20 years ago and designed for a VP of Support, not a founder.\n\n## The Solution\n\nNone of this made sense, so we built our own modern, AI-native support platform.\n\nLetterbook integrates with your database, knowledge base, and Stripe, and our AI auto-prepares resolutions to every ticket. All you have to do is review and send.\n\nWatch our launch video: \n\n## Results\n\nWe’ve already replaced Intercom, Zendesk, Zohodesk, Helpscout, and Freshdesk for many fast-growing companies in YC. \n\nOne founder said:\n\n> The AI drafts save us so much time, and it gets better over time without us doing anything (it learns from our past emails). When we have to make changes to the draft, the CMD+k feature is a game changer and allows us to fine-tune the response without copying and pasting the entire thread to ChatGPT.\n\n## Try it for free\n\nSign up at !\n\nStart resolving tickets in 3 easy steps:\n\n1. Connect your [support@yourdomain.com](mailto:support@yourdomain.com) inbox.\n2. Connect your database and/or Stripe by pasting a restricted API key in Letterbook.\n3. Review the first draft and send it!\n\nUnlike Zendesk/Freshdesk/Zohodesk, which takes days to set up (a friend literally hired a consultant to teach him), Letterbook takes 5 mins. And if you need help, you better believe we have top-notch customer support!\n\nYou can book a call anytime at [letterbook.ai](http://letterbook.ai), or email me at [dawson@letterbook.ai](mailto:dawson@letterbook.ai).", "url": "https://www.ycombinator.com/launches/PxF-letterbook-ai-customer-support-built-for-startups", "votes": 9, "created_at": "2026-04-15T03:49:20.289Z" }, { "id": 75285, "title": "🤵‍♂️ Martin - Your personal voice AI", "tagline": "Meet Martin, a better Siri with an LLM brain.", "body": "**TLDR:** Martin is like Jarvis in an app. Through voice conversations, Martin builds a personal relationship with you. He can find information, brainstorm ideas, or just chat with you about your week! You can also ask Martin to send you notes or set reminders in any conversation.\n\n## Meeting Martin for the first time:\nhttps://www.youtube.com/watch?v=eQLTXBq2tDI\n\n## Martin as your friendly confidant:\nhttps://www.youtube.com/watch?v=zfyf5qfYuBM\n\n## Martin as your smart secretary:\nhttps://www.youtube.com/watch?v=azXTaKitrw4\n\n### Our Ask:\n\n* Download Martin on the [App Store](https://apps.apple.com/us/app/martin/id6453473083) and leave us a good review/rating!\n* Let us know all your feedback at [dawson@trymartin.com](mailto:dawson@trymartin.com). :)\n* If you want Martin on Android, let us know [here](https://getwaitlist.com/waitlist/11378)!\n\n### Team:\n\nDawson, Harsh, and Arjun studied Computer Science at Yale, MIT, and CMU respectively for 1 year before dropping out to build Martin.\n\nThe three of us have been hacking together since 6th grade. We’ve built countless apps, websites, and robots together. And, we all share a childhood dream of having our own Jarvis!", "url": "https://www.ycombinator.com/launches/JaH-martin-your-personal-voice-ai", "votes": 94, "created_at": "2023-10-02T06:46:32.174Z" } ] }, { "id": 29162, "name": "Flex", "slug": "flex", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6db50cb8b7d8269f3c2b9ce2c300b8dd5e7d0bab.png", "website": "https://www.withflex.com/shop", "all_locations": "Remote", "long_description": "Flex is a payment platform for businesses to accept HSA/FSA, unlocking the $150B per year sitting in HSA/FSA accounts. \r\n", "one_liner": "Stripe for HSA/FSA payments", "team_size": 8, "industry": "Fintech", "subindustry": "Fintech -> Payments", "launched_at": 1690520542, "tags": [ "Fintech", "Marketplace", "Health & Wellness" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Fintech", "Payments" ], "regions": [ "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/flex", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/flex.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/withflex/", "x_url": "https://twitter.com/paywithflex", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6db50cb8b7d8269f3c2b9ce2c300b8dd5e7d0bab.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 6343, "full_name": "Sam O'Keefe", "title": "Founder", "founder_bio": "Sam is a cofounder at Flex. Her previous roles include product leadership at a growth stage fintech (Unit21), EIR in Area120, and global head of startup programs at Google, and an editor at TechCrunch. Sam has also been a writer and producer of South of Market, the Musical.\n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/samokeefe", "x_url": "https://www.twitter.com/samok", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f3a1effdc76f0cba24fee1b311ef5d36bc41e835.jpg" }, { "user_id": 1509340, "full_name": "Miguel Toledo", "title": "Founder", "founder_bio": "Miguel is a cofounder at Flex. Previously built software to make machine learning infrastructure and data pipelines work at Lyft Level 5, fraud and AML products at Unit 21, and monitoring systems at Google Cloud.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/migueltol22/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ac3d7ae747618ec5283495193be65b233bbdc491.jpg" } ], "jobs": [ { "id": 65864, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/flex/jobs/XE6Guz3-software-engineer", "location": "US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$165K - $212K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "React", "Rust", "TypeScript" ] } ], "news": [ { "title": "Flex Raises $15M to Unlock $150B in Unused HSA/FSA Funds", "url": "https://www.withflex.com/blog/flex-raises-15m-to-unlock-150b-in-untapped-pre-tax-spending-for-health-wellness-retailers", "date": "Sep 02, 2025" }, { "title": "Flex raises $3.2M seed for D2C health account payments", "url": "https://www.axios.com/pro/fintech-deals/2024/09/04/flex-d2c-health-account-payments-seed", "date": "Sep 04, 2024" } ], "launches": [ { "id": 86397, "title": "Flex Market: Marketplace for HSA/FSA", "tagline": "Save 30% on health & wellness products by shopping with your HSA/FSA", "body": "We’re excited to introduce [Flex Market](https://www.withflex.com/shop), a new marketplace designed to make health and wellness more accessible.\n\nHere’s a glimpse of what you’ll find on Flex Market:\n\n* **🏋️‍♀️** Fitness programs and equipment\n* 🧴 Supplements \n* 💆‍♀️ Sleep and recovery products\n* ⌚ Wearables \n* 🏥 Traditional OTC health products (eyeglasses, women’s health products etc)\n\n![uploaded image](/media/?type=post&id=86397&key=user_uploads/6343/178a211a-9313-4e35-af74-717bc445d4ed)\n\n**Why Flex Market is Unique**\n\nFor products like supplements, fitness equipment or other “dual use” items, consumers are required to have a doctor's note, or Letter of Medical Necessity (LMN), to qualify to spend their HSA/FSA funds. \n\nFlex is the only place where consumers can both shop for traditional healthcare products (think what you might expect to find at a CVS) as well as those items that require a Letter of Medical Necessity (LMN). For those that require the latter, consumers can initiate a two minute telehealth consultation immediately, qualify, and receive their LMNs later that day.\n\n![uploaded image](/media/?type=post&id=86397&key=user_uploads/6343/67901886-4948-4208-807e-b72e1d912ecc)\n\n**Quick HSA/FSA Background**\n\nHealth Savings Accounts and Flexible Spending Accounts are tax advantaged accounts that are designated to be spent on healthcare related purchases. Historically these funds have only been able to be spent on trips to the doctor’s office or buying items at CVS. \n\nFSAs are use-it-or-lose-it, meaning that at the end of the year any funds that aren't spent are forfeited. On average, individuals lose about $450 per year, resulting in nearly $10B of lost benefits.\n\n**Why it Matters**\n\nFlex Market isn’t just a shopping platform – it’s part of a larger mission to make health and wellness more accessible.\n\nBy addressing the barriers of traditional HSA/FSA spending, we’re helping people:\n\n* Avoid forfeiting their hard-earned HSA/FSA funds\n* Discover new ways to invest in their health\n* Making health products and services more accessible\n\n**Check Us Out Today!**\n\nIf you or someone you know has FSA funds to spend before year-end or is gearing up for health-related purchases as part of a New Year’s resolution, check out [Flex Market!](https://www.withflex.com/shop) If you’re interested in seeing your brand on the marketplace, reach out to us [here.](https://www.withflex.com/contact)\n\nThanks so much for your support – and here’s to a healthier 2025! 💪", "url": "https://www.ycombinator.com/launches/MTV-flex-market-marketplace-for-hsa-fsa", "votes": 15, "created_at": "2024-12-18T17:21:25.934Z" }, { "id": 73539, "title": "💪 Flex: Stripe for HSA/FSA payments", "tagline": "We enable businesses to unlock the $120B per year sitting in HSA/FSA accounts.", "body": "**TL;DR** - Flex is Stripe for HSA/FSAs\\*. We enable businesses to unlock the $120B per year sitting in HSA/FSA accounts. To learn more or start accepting HSA/FSA payments, email [partners@withflex.com](mailto:partners@withflex.com).\n\n**PROBLEM**\n\nToday, HSA/FSAs can only be spent at medical institutions or large retailers that have specific inventory management systems in place to comply with IRS regulations.\n\nAs a result many consumer wellness, fitness, nutrition, and even e-commerce companies selling health related products are not able to accept HSA/FSAs. \n\nThese businesses are missing out on 60M American consumers who are looking to spend $120B per year from their HSA/FSA accounts on health related products and services.\n\n**SOLUTION**\n\nFlex is a payment platform for businesses to accept HSA/FSA cards. \n\nWe provide a prebuilt, hosted checkout page or UI building blocks to integrate HSA/FSA payments directly into your existing payments flow. \n\nWe know how critical your checkout flow is so Flex pages are thoughtfully designed to optimize conversion.\n\n**HOW IT WORKS**\n\nFor [pre-approved items by the IRS](https://www.irs.gov/publications/p502#en_US_2022_pu): Flex checks your inventory against the most up to date IRS approved products list and it processes the FSA or HSA payment, and keeps the necessary records in the case of an audit.\n\nFor non-pre-approved items: Flex’s asynchronous telehealth team assesses medical necessity and can issue the required paperwork to make your product or service HSA/FSA eligible for the customer — all in a streamlined checkout flow.\n\n![uploaded image](/media/?type=post&id=73539&key=user_uploads/6343/927924de-af6b-4596-9f0e-e9d4c0e3dfe8)\n\n_(Checkout flow with telehealth intake form.)_\n\n**TEAM**\n\nWe’re Sam and Miguel! We met working together at a growth stage at fintech company, Unit21. We’re both lifelong athletes, and started Flex because we believe we can improve people’s lives by making healthy habits more accessible.\n\n![](https://lh6.googleusercontent.com/0hhGyZ9IuCFZkpaxuzoVFghZLgb7v5ExY518_dAHcfS-q7HqdRfVPnU-wOttzSfX0aSjPlHRl73BkpgOjgddEgKXp1qufEtrE_DXZz1_IyVgzzp1YM7GcfoNV7-O3fSqB14Of6RTsHvn6Hbuo_Hua20)\n\n\\***_Background - What are HSA/FSAs?_**\n\n_HSAs (Health Savings Account) and FSAs (Flexible Savings Accounts) are accounts that allow you to set aside pre-tax money to spend on health related purchases. Since you aren't being taxed on the money you put into the account, anything you spend it on is effectively \\~30% cheaper._ ", "url": "https://www.ycombinator.com/launches/J87-flex-stripe-for-hsa-fsa-payments", "votes": 47, "created_at": "2023-07-28T14:46:12.162Z" } ] }, { "id": 29187, "name": "OpenPipe", "slug": "openpipe", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/78827e9e8ab6d62b5e66b11dffea9ae771b7d97a.png", "website": "https://openpipe.ai/", "all_locations": "Seattle, WA, USA", "long_description": "OpenPipe is an SDK that abstracts away fine-tuning custom models. We capture your existing provider’s prompt-completion pairs in the background and use them to create a new model that is faster, cheaper and often more accurate than the original.", "one_liner": "Turn expensive prompts into cheap fine-tuned models", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1690818525, "tags": [ "AIOps", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/openpipe", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/openpipe.json", "year_founded": 2023, "city": "Seattle", "country": "US", "linkedin_url": "", "x_url": "https://twitter.com/OpenPipeAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/openpipe/openpipe", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/78827e9e8ab6d62b5e66b11dffea9ae771b7d97a.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": 203501, "full_name": "Kyle Corbitt", "title": "Founder", "founder_bio": "Repeat founder and former engineer at Google and YC. Led the Startup School team and built products that increased YC applications by over 40%.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kcorbitt", "x_url": "https://twitter.com/corbtt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/61a7e3b87e48ae759ab6ad3f1abe5d76c39e6dbc.jpg" }, { "user_id": 323984, "full_name": "David Corbitt", "title": "Founder", "founder_bio": "I'm a co-founder at OpenPipe, a platform for turning your slow and expensive prompts into cheap fine-tuned models. My cofounder and I wrote the first web agent that ran on GPT-4 (Taxy.AI) and I've been fine-tuning models since 2021.", "is_active": true, "linkedin_url": "https://linkedin.com/in/davidcorbitt", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/df70a826af6890cc6dc3e0aabda4ca6e185e8780.jpg" } ], "jobs": [], "news": [ { "title": "Seattle startup OpenPipe raises $6.7M to help companies reduce costs for LLM models – GeekWire", "url": "https://www.geekwire.com/2024/seattle-startup-openpipe-raises-6-7m-to-help-companies-reduce-costs-for-llm-development/", "date": "Mar 26, 2024" } ], "launches": [ { "id": 74436, "title": "OpenPipe: Convert expensive LLM prompts into fast, cheap fine-tuned models", "tagline": "OpenPipe automatically captures your existing prompts and completions, then uses them to fine-tune a drop-in replacement. The replacement is faster, cheaper and often more accurate than your original prompt.", "body": "Hi there! We’re Kyle and David, and we’re building [OpenPipe](https://openpipe.ai/). OpenPipe lets you capture your existing prompts and completions, and then use them to fine-tune a model specific to your use-case. Here’s how the process works:\n\n![uploaded image](/media/?type=post&id=74436&key=user_uploads/203501/750c83fe-b66d-40b8-bec3-63049b029360)\n\n## Problem: General-Purpose LLMs are slow and expensive\n\nBefore working on OpenPipe, we each ran into limitations of GPT-3.5 and GPT-4:\n\n* **David** built an app that required searching Reddit and classifying the results on user-specific dimensions. Because the set of possible results that GPT-3.5 had to classify was so large, each search cost multiple dollars!\n* **Kyle** built (and sold) a startup that involved translating official documents. It was difficult to express the specific requirements that official translations must comply with in a way that GPT-3.5 would reliably follow, but GPT-4 was too slow to provide a good user experience.\n\nWe’ve spoken with many other companies and these issues are common. Cost and latency are two major factors blocking production deployment of LLM-backed functionality.\n\n## Solution: Replace prompts with auto-deployed fine-tuned models\n\nSmall models fine-tuned on a specific prompt are highly performant and can excel at many tasks. They’re particularly good at data extraction and classification, even on tasks that need significant world knowledge.\n\nFor example, in [one project](https://github.com/OpenPipe/OpenPipe/tree/main/examples/classify-recipes) we built to classify recipes, our model was able to determine that a recipe that calls for sautéed mushrooms needs a stovetop, despite not being explicitly trained on that connection. It outperformed GPT-3.5 in classification accuracy and reached 95% of GPT-4’s performance.\n\nAnd not only does our fine-tuned model outperform GPT-3.5, it costs 50X less to run!\n\n![uploaded image](/media/?type=post&id=74436&key=user_uploads/203501/c4655ba3-5023-4010-9fae-ea71cc0e2ccb)\n\nWe’ve built infrastructure to make fine-tuning your own model extremely easy. The process works like this:\n\n* Develop a prototype of your LLM-powered feature using GPT-3.5 or 4 like normal.\n* Collect prompts and completions over time using our reporting SDK.\n* Once you have a few hundred to a few thousand completions recorded, kick off a training job in our UI.\n* A few hours later, your model will be ready. You can either download it and self-host, or host it with us.\n* Update your SDK’s URL to point to the new model. Keep your prompts and application code exactly the same — everything will just work!\n\n## Our Ask\n\n* If you’re prototyping or rolling out a product that is hurt by the slow responses or high costs of your existing LLM provider, talk to us.\n* If you know someone who is prototyping or rolling out AI-based functionality within a large company, link them to this post or just put them in contact with us directly.\n\nYou can reach us at [founders@openpipe.ai](mailto:founders@openpipe.ai). We’d love to help out if we can!", "url": "https://www.ycombinator.com/launches/JMa-openpipe-convert-expensive-llm-prompts-into-fast-cheap-fine-tuned-models", "votes": 99, "created_at": "2023-08-28T14:59:50.515Z" } ] } ]