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Cupertino, CA, USA", "long_description": "Our vision is to reduce the paperwork required after each Ambulance run and increase efficiency of the Ambulance operations and create a channel to securely communicate information to the hospitals in a timely manner.", "one_liner": "On average each Ambulance run is two hours long, 40 minutes is spent…", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1461182719, "tags": [ "Health Tech", "Workflow Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2016", "status": "Inactive", "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/rigplenish", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2016/rigplenish.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": null, "x_url": null, "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/rigplenish", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 130012, "full_name": "Nupur Mehta", "title": "Founder/CEO (YC S16)", "founder_bio": "AI in robotics", "is_active": true, "linkedin_url": "http://www.linkedin.com/in/rigplenish", "x_url": "https://twitter.com/onenupur", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2e920db1db18ef1ee86ed6f1d3a876d5caaa68fb.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 1490, "name": "Snappr", "slug": "snappr", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f634405992d692577e2cfd091936940a54fcab1e.png", "website": "https://www.snappr.com", "all_locations": "San Francisco, CA, USA", "long_description": "Snappr is the one-stop-shop for visual content creation, backed by the largest marketplace for on-demand photography and photo editing services.\r\n\r\nSnappr Shoots is a self-service product for anyone to book a photoshoot in as little as 60 seconds.\r\n\r\nSnappr Workflows is a SaaS solution for brands for automating visual content pipelines.", "one_liner": "Snappr is the one-stop-shop for visual content creation", "team_size": 250, "industry": "B2B", "subindustry": "B2B", "launched_at": 1478224835, "tags": [ "Marketplace", "Workflow Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2017", "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/snappr", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2017/snappr.json", "year_founded": 2017, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/snappr.co/", "x_url": "https://twitter.com/snappr_co", "fb_url": "https://www.facebook.com/snappr.co/", "cb_url": "https://www.crunchbase.com/organization/snappr-2", "github_url": "https://github.com/snappr", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f634405992d692577e2cfd091936940a54fcab1e.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": 165329, "full_name": "Matt Schiller", "title": "Founder/CEO", "founder_bio": "📸 CEO of Snappr, 👨‍💻Web dev, 👨‍✈️ Pilot, 🎓GownTown co-founder, 📙YC alum, 👔McKinsey alum, 🏛️UNSW alum, 👨‍⚕️Medical doc.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mdschiller", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ab5e951e3285fe2828088e3db354941dce20f19f.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 1838, "name": "OSIMple", "slug": "osimple", "former_names": [ "BigBridge Technologies Inc" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c1c2a9980ae69d40edf2b33fff65a5bb696aa68.png", "website": "http://osimple.co", "all_locations": "Kitchener, ON, Canada", "long_description": "OSIMple automates data entry for inspectors by replacing stacks of paper with tablets and by generating completed inspection forms. This saves inspectors almost half of their inspection time. Founder Amanda Chan and Michael Miller came across the idea while talking to friends and professors in the civil engineering department at their university. They started building better software for bridge inspectors who were using very manual processes, and it’s been used on over 400 bridges so far. They’ve recently expanded to service home inspectors as well.\r\n\r\nRobust, easy to use software and committed team of self-starters providing fast and reliable customer service. We are chalk full of Software Engineering expertise and ready to automate routine inspection tasks to let you focus on meaningful work.", "one_liner": "Software for inspectors to automate their paper workflow. ", "team_size": 2, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1510200187, "tags": [ "Workflow Automation", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2018", "status": "Inactive", "industries": [ "Real Estate and Construction", "Construction" ], "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/osimple", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2018/osimple.json", "year_founded": null, "city": "Kitchener", "country": "CA", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/osimple", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c1c2a9980ae69d40edf2b33fff65a5bb696aa68.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 207766, "full_name": "Amanda Chan", "title": "Founder", "founder_bio": "Hello! \nI am Amanda! I work on Bridge Inspections!", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/amanda-chan-6427a8120/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/476317ab2f99c075fdf59e0d35ed87da70849840.jpg" }, { "user_id": 215475, "full_name": "Mike Miller", "title": "Founder/CTO", "founder_bio": "Previously co-founder at OSIMple", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/mike-miller-09262979/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0c5be2bf79a28bd2a46fa59e575147cfae7d943.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 12582, "name": "Pair Team", "slug": "pair-team", "former_names": [ "Arc", "Sling Health (formerly Arc)", "Sling Health" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0b89cac566636a744bfbbc0aa673ff4d81b1b779.png", "website": "https://pairteam.com/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Pair Team is building a new kind of healthcare system across Medicaid, Medicare, and public assistance programs: one that recognizes that access to housing, nutritious food, and reliable transportation are just as critical to health as having the right medications or seeing a doctor. We run one of the largest medical groups for complex, low income patients and our next chapter is building a vertically integrated AI care manager to support any clinical, behavioral, or social need for everyone.", "one_liner": "Building the safety net of the future", "team_size": 500, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare Services", "launched_at": 1556171666, "tags": [ "Health Tech", "Workflow Automation", "Digital Health", "Healthcare", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2019", "status": "Active", "industries": [ "Healthcare", "Healthcare Services" ], "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/pair-team", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2019/pair-team.json", "year_founded": 2019, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/yourpairteam/", "x_url": "https://twitter.com/yourpairteam", "fb_url": "https://www.facebook.com/YourPairTeam/", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0b89cac566636a744bfbbc0aa673ff4d81b1b779.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 330919, "full_name": "Neil Batlivala", "title": "Founder", "founder_bio": "I am a technical entrepreneur, YC alumni, and co-founder of Pair Team (YC S19). I've spent the majority of my career in healthcare and had the honor of working with some exceptional people while building remote medical teams at Sling, opening primary care practices at Forward, designing medical devices at Spect, training machine learning models at Noxon, and researching pneumonia at UCSF.\n\n50% thrill seeker, 40% dad jokes, 15% math. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/neil-batlivala/", "x_url": "https://twitter.com/Neil_Batlivala", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e0ff7ab0d08822bf9d89a98af62edd7685322d36.jpg" }, { "user_id": 334974, "full_name": "Cassie Choi", "title": "Founder", "founder_bio": "After starting in emergency medicine in Boston, I moved to NYC to work in cardiac critical care at NewYork Presbyterian Columbia University Medical Center. I then moved to San Francisco and worked at Kaiser Permanente and UCSF. After leaving bedside medicine, I was the first RN at Forward building out clinical protocols, workflows and the flagship clinic. After launching Forward, I was director of operations at Circle Medical and launched their flagship clinic before starting Pair Team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cassandrachoirn/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3d9baa1f0dff7bfe7ebc4153e359a4ee1100c334.jpg" } ], "jobs": [ { "id": 81967, "title": "Director of Care Operations", "url": "https://www.ycombinator.com/companies/pair-team/jobs/wr0unYp-director-of-care-operations", "location": "US / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$175K - $200K", "equity_range": "0.01%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 85127, "title": "IT Lead", "url": "https://www.ycombinator.com/companies/pair-team/jobs/AtbOBbj-it-lead", "location": "Remote (United States) / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$165K - $205K", "equity_range": "0.01% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 85128, "title": "Principal Product Manager", "url": "https://www.ycombinator.com/companies/pair-team/jobs/AQmrR8s-principal-product-manager", "location": "Remote (United States) / Remote (US)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$190K - $240K", "equity_range": "0.01% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 85129, "title": "Principal Product Manager, AI", "url": "https://www.ycombinator.com/companies/pair-team/jobs/exM27r4-principal-product-manager-ai", "location": "Remote (United States) / Remote (US)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$190K - $250K", "equity_range": "0.01% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 85130, "title": "Senior Software Engineer - Product (Remote)", "url": "https://www.ycombinator.com/companies/pair-team/jobs/8XEyhA4-senior-software-engineer-product-remote", "location": "Remote (United States) / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$165K - $220K", "equity_range": "0.01% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 85131, "title": "Staff Software Engineer - Product (Remote)", "url": "https://www.ycombinator.com/companies/pair-team/jobs/2sIYO6a-staff-software-engineer-product-remote", "location": "Remote (United States) / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$190K - $240K", "equity_range": "0.01% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "A Novel Intervention for Medicaid Beneficiaries with Complex Needs | Journal of General Internal Medicine", "url": "https://doi.org/10.1007/s11606-025-09839-2", "date": "Sep 24, 2025" }, { "title": "Pair Team collects $9M for Medicaid-based care", "url": "https://www.axios.com/pro/health-tech-deals/2023/10/19/pair-team-collects-9m-for-medicaid-based-care", "date": "Oct 19, 2023" } ], "launches": [] }, { "id": 12659, "name": "Hatchways", "slug": "hatchways", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/55a1d205a4314f3f88f9fbc01e898edd5701e951.png", "website": "http://www.hatchways.io", "all_locations": "Toronto, ON, Canada", "long_description": "Easily customize GitHub-based technical assessments, where candidates can complete tasks like reviewing code, submitting a pull request, or improving a system’s design. Hatchways helps you build a state-of-the-art practical interview process that is customized to your role while saving you engineering interview load along the way.", "one_liner": "We make engineering interviewing look more like real work.", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Recruiting and Talent", "launched_at": 1556763610, "tags": [ "B2B", "Workflow Automation", "Recruiting", "HR Tech", "Talent Acquisition" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2019", "status": "Active", "industries": [ "B2B", "Recruiting and Talent" ], "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/hatchways", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2019/hatchways.json", "year_founded": 2018, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/hatchways/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/55a1d205a4314f3f88f9fbc01e898edd5701e951.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 330833, "full_name": "Shums Kassam", "title": "Founder", "founder_bio": "Co-founder/CTO of Hatchways (S19), Co-founder/CTO of Blynk (acquired by Kik), grad from UofT EngSci", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shumskassam/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/173e2e3bc0fee2a15dcc9e1cb8eb8d0ae845ea1e.jpg" }, { "user_id": 321746, "full_name": "Jaclyn Ling", "title": "Founder", "founder_bio": "Co-founder of Hatchways. Prev. co-founder of Blynk (acq. by Kik). I focus on product + sales. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jaclynling/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/154cbe9486c0ec21779685f3c1c125cda5ff8f5b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 71240, "title": "Hatchways - Making engineering interviewing look more like real work", "tagline": "Easily customize GitHub-based technical assessments, where candidates can complete tasks like reviewing code, submitting a pull request, or improving a system’s design.", "body": "**TL;DR:** Easily customize GitHub-based technical assessments, where candidates can complete tasks like reviewing code, submitting a pull request, or improving a system’s design. Hatchways helps you build a state-of-the-art practical interview process that is customized to your role while saving you engineering interview load along the way.\n\n# 👋 The Origin Story\n\nI've shared my personal struggle with traditional interviews on [HackerNews](https://news.ycombinator.com/item?id=20578850) and how I’ve never been great at \"performing\" on the spot.\n\nThis summarizes well what our mission has always been: _“Mainstream hiring processes are biased towards those who went to great schools, had high GPAs, are native-English speaking, have worked at brand name companies, are extroverts and great networkers, etc. But there are so many talented people who don't fit that profile. We're excited to work on ways of hiring that give them a better chance.”_\n\nOver time, we realized the challenge in solving this issue lies in the fact that companies lack incentives to improve their processes unless it saves them money or time.\n\nThus, Hatchways is on a mission to make talent discovery efficient yet fair. By streamlining skill evaluations, we help companies save time while hiring top talent with the right skills for the job, rather than focusing on pedigree, connections, or interview prowess.\n\n# 🤔**The Problem: Inefficient Interviewing**\n\nMany companies struggle with inefficient interviewing— spending too much time while not getting quality signal.\n\nAlthough creating a unique process is time-consuming, mimicking FAANG approaches, which most companies do, leads to inaccurate signal, a lot of wasted engineering hours, and increased competition for the same talent pool.\n\n# 💡**The Solution: Design a Purposeful Interview Experience**\n\nHatchways enables you to develop an effective interview process, ensuring accurate signal capture, time savings for engineers, and a positive candidate experience.\n\n![uploaded image](/media/?type=post&id=71240&key=user_uploads/321746/b44f8b5f-fbf0-4990-a37e-67afc3768fc5)\n\n# 🦄 **How it works:**\n\n* **Adopt Best Practices from Leading Tech Companies, and Tailor to your Needs:** We've distilled best practices from tech leaders at Dropbox, Plaid, and Airtable (e.g., crafting rubrics, enhancing candidate experience, setting pass-through rates) and can easily customize them for your company, role, and specific hiring needs.\n* **Custom Rubrics and Tailored Interview Questions:** Most companies introduce interviewing rubrics too late. This leads to standardization and bias issues, resulting in inconsistent hiring outcomes. We assist in identifying crucial skills and transforming them into a grading rubric to shape the perfect interview question.\n* **Streamline Grading and Optimize Calibration Effortlessly:** With Hatchways, use our automation features to build test cases or utilize our human-assisted reviewers to reduce your engineering review load. Drawing from the best practices of leading technical teams, we establish a starting benchmark and optimize your on-site pass-through rates over time.\n\n![uploaded image](/media/?type=post&id=71240&key=user_uploads/321746/d2286ba9-dc3f-4647-b835-7b4faf858137)\n\n### **Use Cases**\n\nWhat companies use Hatchways for:\n\n* pre-screen technical assessment (i.e. resume replacement)\n* technical phone-screen step (i.e. 60-90 minute live coding replacement)\n* university/intern recruiting (i.e. high-volume vetting)\n\nWho is this for?\n\n* Companies scaling engineering hiring who are aiming to reduce interviewer load\n* Companies aiming to introduce greater standardization in their interview process\n\n# **Asks**\n\n* If you’re an engineer who wants to see companies adopt more effective and fair interviewing practices - share this with them\n* For companies aiming to streamline their interview process while ensuring a fair and enjoyable candidate experience, sign up on our platform [here](https://www.hatchways.io/?utm_source=ycombinator&utm_medium=web&utm_campaign=launch_yc) or reach out directly to me to learn more: [jaclyn@hatchways.io](mailto:jaclyn@hatchways.io)", "url": "https://www.ycombinator.com/launches/IX2-hatchways-making-engineering-interviewing-look-more-like-real-work", "votes": 181, "created_at": "2023-04-27T17:06:10.064Z" } ] }, { "id": 13502, "name": "Zynq", "slug": "zynq", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9509c7e59d312ec1fba7486bc3b4896f2d02edec.png", "website": "https://zynq.io", "all_locations": "San Francisco, CA, USA", "long_description": "Zynq makes company offices smart with an all-in-one workspace management platform that redefines the relationship between people x space x time.\r\n\r\nCompanies using Zynq can fully embrace the Hybrid Office, giving employees a quick way to find the best time and space to collaborate, meet with guests, and much more.", "one_liner": "Office management platform that optimizes your hybrid workplace", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1583806303, "tags": [ "Workflow Automation", "Productivity", "Remote Work" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2020", "status": "Acquired", "industries": [ "B2B", "Productivity" ], "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/zynq", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2020/zynq.json", "year_founded": 2019, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/zynq/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9509c7e59d312ec1fba7486bc3b4896f2d02edec.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 238868, "full_name": "Zerzar Bukhari", "title": "Founder", "founder_bio": "Product, Platform & Partnerships - Cartesia\nFounder - Product & Engineering @ Marble\nFounder - CEO @ Zynq (exit)\nEx-PM at Google & Microsoft\nFinance @ Harvard\nEngineering @ UToronto\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zerzar/", "x_url": "https://twitter.com/ZerzarBukhari", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ec0d17dd69e07cfbf2999bc343b2f84d09999c8.jpg" }, { "user_id": 374296, "full_name": "David Cottrell", "title": "Founder", "founder_bio": "Ex-Google Software Engineer in G Suite\n1st Engineer at Spacebar\nComputer Science and Math at McGill", "is_active": true, "linkedin_url": "http://www.linkedin.com/in/david-cottrell-01765a67", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd712dd601ec81be046bf25e613f61575bd54ab8.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 13536, "name": "Syncro", "slug": "syncro", "former_names": [ "Display", "_", "Display", "_", "Display", "Displaya", "Display", "Aeronaut", "Story Ships", "Aeronaut" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e1e96da71d2efe84210a071b8537ded2d55b5835.png", "website": "https://runsyncro.com/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "", "one_liner": "Intelligence layer for internal communications and culture", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Recruiting and Talent", "launched_at": 1586978108, "tags": [ "Workflow Automation", "Recruiting" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2020", "status": "Inactive", "industries": [ "B2B", "Recruiting and Talent" ], "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/syncro", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2020/syncro.json", "year_founded": 2019, "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/e1e96da71d2efe84210a071b8537ded2d55b5835.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 421834, "full_name": "Brian Chan", "title": "Founder", "founder_bio": "SW @ Gridware", "is_active": true, "linkedin_url": "https://linkedin.com/brianjychan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/30010e69edfb4689f9a9fa76d0e200a0ccb387f9.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 13579, "name": "Tasker AI", "slug": "tasker-ai", "former_names": [ "DAPI", "Dapi", "Tasker ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b029364b4690cea881329d5e60d810a2d1ff05fd.png", "website": "http://www.tasker.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Tasker is an AI assistant for everyday work and life to-dos. Tasker is able to perform complex tasks from a single prompt by using multiple tools. ", "one_liner": "Your AI co-worker", "team_size": 7, "industry": "B2B", "subindustry": "B2B", "launched_at": 1598041442, "tags": [ "Consumer", "Workflow Automation", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2020", "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/tasker-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2020/tasker-ai.json", "year_founded": 2020, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/taskerai/", "x_url": "https://twitter.com/taskerhq", "fb_url": "https://www.facebook.com/TaskerHQ", "cb_url": "https://www.crunchbase.com/organization/tasker-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b029364b4690cea881329d5e60d810a2d1ff05fd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 346822, "full_name": "Ahmed AJ", "title": "Founder", "founder_bio": "Co-founder of Tasker AI, an AI Assistant for everyday work and life. We are re-imaging human-computer interaction. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ahmedajsf/", "x_url": "https://twitter.com/0xAhmedAJ", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/379eae9b3f6b10095b99153269ecec81e00111a7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92702, "title": "Tasker AI: Your Personal AI Assistant", "tagline": "Reschedule meetings, summarize emails/webpages, build mini apps, and even plan a night out — all from one place.", "body": "Hey everyone, this is Ahmed, co-founder of[ Tasker AI](http://www.tasker.ai/) 👋\n\nTLDR: **Tasker AI** is your AI teammate for daily tasks – reschedule meetings, summarize emails/webpages, build mini apps, and even plan a night out — all from one place.\n\nTry it: [playground.tasker.ai](http://playground.tasker.ai)\n\n[Video](https://www.youtube.com/watch?v=U6RccsEyfgE)\n\n\\\nWe are building an AI assistant for everyday work & life. Tasker AI takes actions by completing work on your behalf. **_It's like your intern or co-worker._**\\\n\\\nTasker helps manage recurring daily tasks. That’s why we’re including unlimited email and calendar-based tasks for free to everyone🎊🎉.\n\n**The problem**\n\n* We spend 2-3 hours every day on busy work. That’s a whole month every year!\n* Context switching & burnout is a massive problem.\n* Too many tools handle tiny specific tasks, fragmenting productivity and increasing friction.\n\n**The Solution**\n\nA general-purpose agent that can handle complex tasks.\n\n**What can you do today with Tasker?**\n\nHere are some additional uses:\n\n📅 Reschedule meetings – just CC [assistant@tasker.ai](mailto:assistant@tasker.ai)\n\n![uploaded image](/media/?type=post&id=92702&key=user_uploads/346822/bdab016a-b0a8-436e-82b1-4cb776a3318d)\n\n📰 Summarize newsletters automatically\n\n![uploaded image](/media/?type=post&id=92702&key=user_uploads/346822/dd6b670d-66c6-4273-9739-6747743580a1)\n\n\\\n🌐 Summarize or automate tasks from any webpage with our browser extension\n\n![uploaded image](/media/?type=post&id=92702&key=user_uploads/346822/de49a181-b8b7-4c00-9698-38bcbbc7da74)\n\n📄 Build a landing page (with editable Google Sheet backend) – perfect for waitlists or microsaas\n\n![uploaded image](/media/?type=post&id=92702&key=user_uploads/346822/420fa23f-c2a5-43ee-bea4-34276f14d235)\n\nAnd much more!\n\nWhat other things could it do?\n\n🛍 Turn a recipe video into a shopping list\\\n🔁 Schedule recurring tasks like event searches\\\n✅ Putting the ingredients from a recipe video into a shopping cart; and\n\n🍽 Plan an entire date night – from Uber to OpenTable to movie tickets – in one go by connecting those apps.\\\n⚙️ Deep integration with Google Apps – build light-weight apps without writing code.\n\n**Our Ask**\n\nTry Tasker out today[ ](https://playground.tasker.ai/)[playground.tasker.ai](http://playground.tasker.ai) 👏\n\nLearn more at [tasker.ai](http://tasker.ai) & follow us on [X](https://x.com/TaskerHQ).\n\nYou can see some use cases in action in our Reddit community: https://www.reddit.com/r/TaskerAI/\n\nWe are still collecting feedback. If you try something and it doesn't work like you think it should, please tell us, and we will work with you to make your use case work.", "url": "https://www.ycombinator.com/launches/O7C-tasker-ai-your-personal-ai-assistant", "votes": 9, "created_at": "2025-08-04T15:08:32.453Z" }, { "id": 86940, "title": "Tasker AI: Automate Your Work", "tagline": "Access our swarm of agent executive assistants with web navigation capabilities", "body": "Hey everyone, this is Ahmed, co-founder of [Tasker AI](http://www.tasker.ai/) 👋\\\n\\\nWe built a tool that connects with SaaS apps and websites you use daily, automating complex workflows and executing deep research.\n\n# **The Problem**\n\nTask automation on the internet is a complex and challenging process ⚙️\n\n* There are many data sources without APIs. AI agents struggle to access them 🌐. \n* Traditionally, businesses had to ask developers to write scripts to access data they wanted to monitor 🛠️. \n* There are lots of workflow builders. However, this approach still requires technical know-how, making it inaccessible for many users 🙅‍♂️🙅🏻‍♀️.\n* Data is siloed among many different SaaS applications 🚧.\n\n \n\n# **Our Solution**\n\n[video](https://youtu.be/3vLztxJghR4)\n\n\\\nWith Tasker AI’s natural language chat interface, users can assign tasks and create automations through plain English instructions. Simply describe what you want to accomplish. The system automatically converts these inputs into step-by-step actions, providing visual feedback and validation at every step.\n\n# **Features**\n\n**Deep Search**\\\nTasker evaluates webpage structure in real time. Agents navigate & adapt to changes with built-in error recovery & retry mechanisms. \\\n**Smart Outputs**\\\nTasker collects the information and aggregates it in CSV, Google Docs etc.\\\n**Automatic Scheduling** \\\nSet all your tasks in your preferred cadence.\\\n**Agentic Workflows**\\\nTasker is able to connect to all your apps and compose workflows in plain English.\n\n# ⬇️ ⬇️ ⬇️\n\n# **Apply for access** [**here**](https://51l9vfhgn41.typeform.com/to/lxVmgAOn)\n\nLearn more at [tasker.ai](http://tasker.ai) & follow us on [X](https://x.com/TaskerHQ). \\\nThe platform is built on TaskNet, an open-source agentic infrastructure layer. If you want to be involved, join our [Discord community](https://discord.gg/4Xt4ZM4pfD).", "url": "https://www.ycombinator.com/launches/McG-tasker-ai-automate-your-work", "votes": 18, "created_at": "2025-01-17T22:40:57.371Z" } ] }, { "id": 21882, "name": "CoreCare", "slug": "corecare", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/672d1183e4066fae6c6f5104b7e94e1357a68a17.png", "website": "https://corecare.ai", "all_locations": "New York City, NY, USA", "long_description": "CoreCare is the leading AI-powered workflow platform helping Post-Acute and Long-Term Care (PALTC) providers achieve operational excellence. Trusted by 1,000+ locations nationwide, CoreCare increases admissions, optimizes reimbursement rates, improves collection metrics, and reduces administrative burdens—all on one intuitive platform.\r\n\r\nAt the heart of CoreCare is Collaborative Revenue Management, which unites essential data and teams on a shared platform. Our approach empowers employees—regardless of skill or tenure—to perform like experts from day one, collaborate with their peers on critical work, and give management unmatched visibility into performance across the organization.\r\n\r\nCoreCare replaces error-prone spreadsheets and fragmented portals with streamlined workflows that drive measurable results. Trusted by leading providers, CoreCare redefines how teams work and sets a new standard for AI in long-term care.", "one_liner": "Helping healthcare providers reduce administrative costs using AI", "team_size": 11, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1599762607, "tags": [ "B2B", "Workflow Automation", "Enterprise Software", "Healthcare IT", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2020", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "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/corecare", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/corecare.json", "year_founded": 2020, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/corecare/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/corecare", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/672d1183e4066fae6c6f5104b7e94e1357a68a17.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 449462, "full_name": "Dennis Antonelos", "title": "Founder/CEO", "founder_bio": "Always running towards the big, complicated problems. I love creating high quality software products for customers that 10x how employees and teams work, and make a big impact on critical business metrics. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/antonelos1/", "x_url": "https://x.com/dennisantonelos", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/829bc0378bba2526fa2020e69a6636e392abb3f3.jpg" }, { "user_id": 448037, "full_name": "Mehrdad Shafaie", "title": "Founder/COO", "founder_bio": "I get excited about solving really hard problems in payments and money movement. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mehrdad-shafaie-7904503b/", "x_url": "https://twitter.com/MehrdadShafaie", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f67fcad1c449b2d3e996e5a6e38b41cbcb1cd14f.jpg" } ], "jobs": [], "news": [ { "title": "CoreCare and Creative Solutions in Healthcare Launch Pre-Admit, the First AI-Powered Solution to Evaluate SNF Referrals in Under a Minute", "url": "https://finance.yahoo.com/news/corecare-creative-solutions-healthcare-launch-170700013.html", "date": "Apr 27, 2025" }, { "title": "CoreCare launches CoreCare Admit, the first workflow solution for Preadmission Screening and Resident Review (PASRR) tracking in skilled nursing facilities", "url": "https://finance.yahoo.com/news/corecare-launches-corecare-admit-first-130000253.html", "date": "Nov 12, 2024" }, { "title": "CoreCare and Creative Solutions in Healthcare (CSNHC) Team up to Tackle New Minimum Data Set (MDS) Challenges", "url": "https://www.01net.it/corecare-and-creative-solutions-in-healthcare-csnhc-team-up-to-tackle-new-minimum-data-set-mds-challenges/", "date": "Jun 04, 2024" }, { "title": "Alan Patricof Sizes Up Today’s Venture Capital Market | Barron's ", "url": "https://www.barrons.com/articles/alan-patricof-venture-capital-demographics-ai-eb39d27d?st=wh10flni5fjm74m", "date": "Sep 07, 2023" }, { "title": "CoreCare’s Software to Speed Reimbursements and Minimize Write-Offs Now Available for Ohio Nursing Homes | Business Wire", "url": "https://www.businesswire.com/news/home/20220725005249/en/CoreCare%E2%80%99s-Software-to-Speed-Reimbursements-and-Minimize-Write-Offs-Now-Available-for-Ohio-Nursing-Homes", "date": "Jul 27, 2022" } ], "launches": [] }, { "id": 22273, "name": "Fieldguide", "slug": "fieldguide", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/03ab0a46259f7ce1ac30cf1d9aff41e90bcaad5e.png", "website": "http://fieldguide.com", "all_locations": "San Francisco, CA, USA", "long_description": "‍Fieldguide is a vertical AI platform for modern audit and advisory firms that digitizes the end-to-end engagement workflow on a single platform. 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"launches": [ { "id": 79931, "title": "Platypus: The distributed data operating system", "tagline": "Data toolkit to manage distributed and real-time data 10x faster.", "body": "### **Platypus - The Distributed Data Operating System**\nPlatypus is a toolkit to help data engineers and technical founders manage their distributed and real-time data 10x faster. We help you organize and connect any data, across any stack, in any format. Fast.\n\n### **We are Looking for Feedback and Early Users**\nWe are offering Customized Support for our Early Access Program to founders and data engineering teams dealing with real-time and distributed data challenges - contact us at or [send me an email](mailto:pablo@getplatypus.com).\n\n### **The Problem**\nManaging distributed data is tough and costly in an ever-evolving landscape where the concept of a \"modern\" data stack is rapidly aging, requiring **expert teams, multiple tools, and expensive resources**. On top of that, the Business teams **struggle to access** and use this data effectively.\n\n### **The Solution**\n**A** **customizable,** **real-time** **data platform that** **boosts data engineering productivity**. We simplify data with automation for data discovery, data management, and data pipeline creation while keeping data engineers in full control of their data architecture. We also allow business teams to self-serve the data and data activation they need.\n\n### **Any Data, Any Stack, Any Client.**\n\n![uploaded image](/media/?type=post&id=79931&key=user_uploads/68620/30cddba6-8d35-4789-af89-931119f5d610)\n\n![uploaded image](/media/?type=post&id=79931&key=user_uploads/68620/93556e53-3c5c-4c3f-9aaa-9a9c2129746c)\n\n![uploaded image](/media/?type=post&id=79931&key=user_uploads/68620/ff4714d4-5390-43fe-a6d3-2de472e45e82)\n\n### **Our Team**\n\nWe are data engineers with experience at big tech companies like Amazon and Intel. We’re eager to tackle your data challenges, from simple database replications to complex AI-driven data strategies.\n\nWe know our craft, we love it, and we want to help with your specific data challenges.\\\n - [pablo@getplatypus.com](mailto:pablo@getplatypus.com)", "url": "https://www.ycombinator.com/launches/KnD-platypus-the-distributed-data-operating-system", "votes": 5, "created_at": "2024-04-03T23:03:20.517Z" } ] }, { "id": 23127, "name": "Rulebricks", "slug": "rulebricks", "former_names": [ "Prefix", "Rulebricks", "Prefix" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9f092ef2f6ce139c0a8bc3465eea6850877d2049.png", "website": "https://rulebricks.com/", "all_locations": "San Francisco, CA, USA; Los Altos, CA, USA", "long_description": "Many workflow builders and automation tools have support for adding logic to your processes, but get complicated quick– to the point where process owners are unable to edit them directly and require specialist services.\r\n\r\nRulebricks separates decision-making logic from your workflows, giving your team a clear visual, spreadsheet-like interface to manage the changing rules that drive your business, and use those rules as API endpoints, visual forms, and in automation tools like Zapier.", "one_liner": "Add powerful decision-making capabilities to any automated workflow.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1616113929, "tags": [ "Developer Tools", "SaaS", "B2B", "Workflow Automation", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2021", "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": [ { "question": "Describe what your company does in 50 characters or less.\n", "answer": "10x better process automation for the modern web" }, { "question": "What is your company going to make? Please describe your product and what it does or will do.\n", "answer": "Prefix is the fastest way to automate processes and centralize data across every modern web tool, allowing rapidly growing teams and organizations to build rich automation flows for tools that may not offer API’s without writing a line of code or, importantly, spending weeks in tutorials.\r\n\r\nPrimarily focused on financial institutions, Prefix consolidates the highest utility functionality from five-figure RPA platforms into a power tool that outperforms historically expensive and bloated software, lowering the activation energy necessary to start automating and raising the bottom line for boring work on the internet.\r\n" } ], "question_answers": null, "url": "https://www.ycombinator.com/companies/rulebricks", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/rulebricks.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/prefix-software", "x_url": "https://twitter.com/rulebricks", "fb_url": null, "cb_url": null, "github_url": "https://github.com/rulebricks", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9f092ef2f6ce139c0a8bc3465eea6850877d2049.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 483234, "full_name": "Sid Garimella", "title": "Founder", "founder_bio": "Worked in finance infra for a few years, now on automation.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sidgarimella/", "x_url": "https://twitter.com/sidgarimella", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/99c9de3319f1ba5cc1a864789dd7f9c4419fc122.jpg" } ], "jobs": [ { "id": 42152, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/rulebricks/jobs/8EoS8qDo0-founding-engineer", "location": "Palo Alto / Remote (US)", "type": "Co-founder", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $150K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "JavaScript", "Python", "Vue.js" ] } ], "news": [], "launches": [] }, { "id": 24348, "name": "Cloudthread", "slug": "cloudthread", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/901ce3d4d85e5af8508dc541cdc117afcf14c583.png", "website": "https://cloudthread.io", "all_locations": "San Francisco, CA, USA", "long_description": "Cloudthread is an analytics platform that helps engineering teams build cost efficiently in the cloud. We were behind Lyft's internal cloud cost management system and now we use that deep expertise to help organizations save hours of engineering time, reduce cloud bills, and prevent costly re-architectures.", "one_liner": "Eliminate Cloud Waste. Attribute and Track Savings. Engage Engineers.", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1628208703, "tags": [ "Developer Tools", "FinOps", "B2B", "Workflow Automation", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cloudthread", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/cloudthread.json", "year_founded": 2020, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cloudthread", "x_url": "https://twitter.com/_Cloudthread_", "fb_url": "https://m.facebook.com/Cloudthread.io/", "cb_url": "https://www.crunchbase.com/organization/cloudthread", "github_url": "https://github.com/cloudthread", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/901ce3d4d85e5af8508dc541cdc117afcf14c583.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": 738583, "full_name": "Ilia Semenov", "title": "Founder", "founder_bio": "🚀ex-Lyft (2016-2020): Data Engineering + Cloud Cost Management\n🎮ex-EA (2014-2016): Cloud Cost Management\n🎓Carnegie Mellon University\n🏡Saint-Petersburg, Russia\n🌁San Francisco, USA", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/iliavsemenov/", "x_url": "https://twitter.com/ilia_v_semenov", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/17bcfa797b83e672337eae9735fd7f5b270c9e48.jpg" } ], "jobs": [], "news": [ { "title": "Cloudthread Raises $3M to Help Engineering Teams Build in the Cloud With Cost Efficiency - Grit Daily News", "url": "https://gritdaily.com/cloudthread-raises-3m-to-help-engineering-teams-build-in-the-cloud-with-cost-efficiency/", "date": "Dec 15, 2021" } ], "launches": [ { "id": 71628, "title": "Cloudthread ☁️🧘‍♂️ Your Cloud Cost Savings Hub", "tagline": "Meet Cloudthread, the radical cloud waste reduction platform for modern teams", "body": "Hey YC! We're thrilled to announce the launch of [**Cloudthread Savings Hub**](https://www.cloudthread.io/), brought to you by [**@Ilia**](https://www.cloudthread.io/), [**@Daniele**](https://www.linkedin.com/in/danielepackard/), and [**@Thomas**](https://www.linkedin.com/in/thomasyopes/)! 🎉\n\n# TL;DR\n\n**Cloudthread Savings Hub** empowers you to identify and eliminate wasted cloud spend, streamline optimization workflows, and **maximize savings**.\n\nDiscover optimization opportunities, prioritize based on expected savings and implementation complexity, gain detailed context, group and share through Jira and Slack, track progress, and analyze realized savings.\n\nSupports **AWS** and **GCP**.\n\n![uploaded image](/media/?type=post&id=71628&key=user_uploads/738583/733b2dec-ae3d-411f-af62-46349eb8bdc0)\n\n# **The Problem**\n\nDespite various tools, sources, and techniques to manage cloud costs, achieving actual savings remains challenging. Many tools are expensive and charge a percentage of your total bill.\n\n# **The Solution**\n\nCloudthread Savings Hub disrupts the market by offering a combination of product and services laser-focused on eliminating cloud waste. We aggregate cost savings insights from various sources (including native cloud provider data), enrich it with valuable context, and facilitate workflow creation to effectively implement recommendations. We charge a **flat fee** for our product and a percentage of savings for service engagements.\n\n# **How It Works**\n\n\n\n### **💰 Special Deal + Ask**\n\n💰 For the next two weeks, find over $500 in monthly AWS savings with Cloudthread’s Savings Hub or receive a **$100 Amazon Gift Card** 🎁\n\n[**www.cloudthread.io/aws-save-or-get-paid**](https://www.cloudthread.io/aws-save-or-get-paid)\n\nJoin us in revolutionizing cloud cost management with Cloudthread Savings Hub!\n\n# **About Us**\n\nAt [**@Cloudthread**](https://bookface.ycombinator.com/company/24348), we're committed to making cloud cost analytics accessible for businesses of all sizes. Our platform enables engineering teams to lower cloud costs easily and effectively. We've helped enterprises with 8-figure cloud bills, high-growth startups, and everything in between achieve cloud cost efficiency.\n\nA few months ago, [**we launched our cloud cost saving services on Bookface**](https://bookface.ycombinator.com/posts/70004) for the YC community. Since then, we've helped companies reduce their AWS spend by **10-50%**!\n\nOur team has been working in cloud cost management since **2014**. [**@Ilia Semenov**](https://bookface.ycombinator.com/user/738583) managed cloud costs at Electronic Arts before leading Lyft's cloud cost management efforts ahead of their IPO, resulting in a **40% reduction** in AWS spend ([**case study**](https://aws.amazon.com/solutions/case-studies/lyft-cost-management/) and [**AWS Re:Invent talk**](https://youtu.be/ChupgIbZr5Q?t=2479)). Through Cloudthread, we've tackled cloud cost challenges across numerous AWS services.", "url": "https://www.ycombinator.com/launches/IdI-cloudthread-your-cloud-cost-savings-hub", "votes": 19, "created_at": "2023-05-17T15:50:55.737Z" } ] }, { "id": 24404, "name": "OneSchema", "slug": "oneschema", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0da6fd5bf7648bc26ba469b7a2a03b08186196dd.png", "website": "https://www.oneschema.co", "all_locations": "San Francisco, CA, USA", "long_description": "OneSchema Studio brings AI Cowork into your private cloud. Teams can clean and validate massive datasets at 1,000x the scale of generic AI tools - data never leaves your network, you pick the AI model, and proven work becomes a skill your whole team can reuse. It self-hosts natively on AWS, Azure, or GCP, gives you granular, role-based control over who can touch what data, and connects directly to the systems you already run - from Salesforce and Workday to SAP and Snowflake.", "one_liner": "The AI Cowork for big data", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1626328672, "tags": [ "SaaS", "B2B", "Workflow Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/oneschema", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/oneschema.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/oneschema", "x_url": "https://twitter.com/oneschema_co", "fb_url": "https://www.facebook.com/OneSchema-145400804361261", "cb_url": "https://www.crunchbase.com/organization/oneschema", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0da6fd5bf7648bc26ba469b7a2a03b08186196dd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 431865, "full_name": "Andrew Luo", "title": "Founder", "founder_bio": "Co-founder of OneSchema", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andrew-luo-6495704a/", "x_url": "https://twitter.com/andrewjluo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a2ff370ad915adb90be4c01adca39b06083b381b.jpg" } ], "jobs": [ { "id": 74165, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/oneschema/jobs/kvoGGnM-senior-software-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$135K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 78794, "title": "Head of Engineering", "url": "https://www.ycombinator.com/companies/oneschema/jobs/4JJSgdx-head-of-engineering", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Engineering manager", "salary_range": "$225K - $275K", "equity_range": "", "experience": "11+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79723, "title": "Business Development Representative", "url": "https://www.ycombinator.com/companies/oneschema/jobs/NPR2pGK-business-development-representative", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80K - $100K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "OneSchema Raises $6.3M from General Catalyst, Sequoia, and Y Combinator to Make Ingesting CSV Data Magical For Developers", "url": "https://www.oneschema.co/blog/oneschema-announces-6m-fundraise", "date": "Nov 16, 2022" }, { "title": "How OneSchema Raised $6.3 Million in Seed Funding Without a Pitch Deck", "url": "https://www.businessinsider.com/oneschema-raised-seed-funding-without-pitch-deck-general-catalyst-sequoia-2022-11", "date": "Nov 16, 2022" } ], "launches": [ { "id": 66712, "title": "OneSchema: Embeddable CSV Importer for SaaS", "tagline": "Product and engineering teams use OneSchema to save months of development time to build a CSV importer.", "body": "Hi everyone, we’re Christina and Andrew, co-founders of [OneSchema](https://oneschema.co/). We’re very excited to share the launch of our new product line with you!\n\n## **Founders Backstory**\n\nAs a product manager and engineering manager, we both suffered through months of wasted engineering time building CSV importers instead of core product features. Even after launch, the [maintenance never seemed to end](https://www.oneschema.co/blog/csv-importer-cost) - parsing issues, performance improvements, and UX issues always seemed to pop up. \n\nWe decided to build OneSchema so product teams could focus on the features that matter most to their customers.\n\n## **What is OneSchema?**\n\nOneSchema is an embeddable CSV importer for SaaS companies. Product and engineering teams use OneSchema to save months of development and maintenance time and provide a best-in-class CSV import process for their customers. OneSchema cleans customer data during import, and offers helpful suggestions for resolving errors. \n\n![uploaded image](/media/?type=post&id=66712&key=user_uploads/431865/e31cbb2a-a4c0-4455-9a51-593e136d5367)\n\nOur product team is laser-focused on making data onboarding as fast and seamless as possible for your customers. We are a developer-first platform and have built OneSchema so you can have production-ready CSV import set up in less than a day.\n\n## **We'd love to hear from you!**\n\nWe’re excited to help companies deliver a delightful onboarding experience for their users. If you’re interested in learning more, feel free to [book a demo here](https://demo.oneschema.co/?utm_source=yc&utm_campaign=launchboard) or reach out to us at [founders@oneschema.co](mailto:founders@oneschema.co)", "url": "https://www.ycombinator.com/launches/HM0-oneschema-embeddable-csv-importer-for-saas", "votes": 20, "created_at": "2022-10-14T03:54:17.378Z" } ] }, { "id": 25322, "name": "VantedgeAI", "slug": "vantedgeai", "former_names": [ "8vdx", "8vdX", "8vdx", "VentedgeAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/12fd444a2c7a34b121c256f9259458e601b0351a.png", "website": "https://www.vantedgeai.com/", "all_locations": "Norwalk, CT, USA", "long_description": "FundOS is the agentic operating system for fund managers. It replaces the manual \"human glue\" between a fund's systems with audit-logged AI agents — covenant monitoring, capital calls, diligence, recon, and reporting — running on the data funds already have, via MCP, with no migration. Dogfooded at Eight Capital, where FundOS runs a 270+ company YC portfolio off a single spine of data, auto-generating NAVs and K-1s. Clients include Semper Capital (London) and a New York asset manager. SOC 2, role-based access, LP-scoped data, and a full audit trail. Built by a team that ran a credit fund for 15 years.", "one_liner": "FundOS — AI operations for fund managers", "team_size": 11, "industry": "Fintech", "subindustry": "Fintech -> Banking and Exchange", "launched_at": 1641821942, "tags": [ "Fintech", "SaaS", "Workflow Automation", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "Fintech", "Banking and Exchange" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vantedgeai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/vantedgeai.json", "year_founded": 2021, "city": "Norwalk", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vantedgeai", "x_url": "https://x.com/vantedgeAI", "fb_url": "https://www.facebook.com/vantedgeAI", "cb_url": "https://www.crunchbase.com/organization/8vdx", "github_url": "https://github.com/8vdx1", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/12fd444a2c7a34b121c256f9259458e601b0351a.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": 754637, "full_name": "Ravi Chachra", "title": "Founder", "founder_bio": "Ravi cofounded VantedgeAI (W22), and has invested in over 270+ YC companies through a demo day fund, Eight Capital. In 1999, he co-founded SNAZ, a venture backed mobile wallet and universal shopping cart. After the Dot.com bust, he set up a distressed fund to acquire busted convertibles bonds of tech cos that could thrive in the future. In 2019, he set up a pvt. credit fund which was sold in 2021 to his JV partner, J.C. Flowers & Co. Ravi holds a Degree in Computer Science and a Wharton MBA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rchachra/", "x_url": "https://twitter.com/rchachra", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5924ae5024e7221014146da3f8c32d3541967da8.jpg" }, { "user_id": 763615, "full_name": "Vijay Lavhale", "title": "Founder", "founder_bio": "Building VantedgeAI\nInvesting at Eight Capital", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vijay-lavhale-86b06938/", "x_url": "https://www.twitter.com/vijay_lavhale1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a1a246f671e71e4764cba5f0f6a9c27830cb2fc.jpg" } ], "jobs": [], "news": [ { "title": "Venture Debt Fund 8vdX's New Move To Aid Startups In Early Stages", "url": "https://www.vccircle.com/venturedebt-fund-8vdx-s-new-move-to-aid-startups-in-early-stageshttps://www.vccircle.com/venturedebt-fund-8vdx-s-new-move-to-aid-startups-in-early-stages", "date": "Jan 04, 2023" }, { "title": "8vdX Secures Investment To Back Early And Growth Stage Startups", "url": "https://inc42.com/buzz/venture-debt-player-8vdx-secures-investment-to-back-early-and-growth-stage-startups/", "date": "May 27, 2022" }, { "title": "How venture debt marketplace 8vdX provides funds on founder-friendly terms", "url": "https://yourstory.com/2022/04/venture-debt-marketplace-8vdx-startups-ravi-chachra/amp", "date": "Apr 12, 2022" } ], "launches": [ { "id": 89343, "title": "🚀 Vantedge AI — The Agent marketplace to scale your investing workflows", "tagline": "AI agent marketplace with a secure data layer infrastructure and compliance framework", "body": "Hi everyone! We’re building **an agent marketplace** with a secure data layer infrastructure and compliance framework **for institutional investors and fintech AI startups**.\n\n### **🧠 The Problem**\n\nInstitutional Investors know they need to adopt AI — but where does one start?\n\n* AI is new, noisy, and fragmented.\n* Consultants lack the required knowledge and are expensive.\n* Broadly available mainstream AI tools aren't built with investor workflows, compliance, or security in mind.\n\nMeanwhile, fintech AI startups are building targeted specialised agents — but distribution to investment funds is a huge challenge.\n\n### **💡 Our Solution**\n\n**Vantedge AI** is the first Agent marketplace with distribution to a rapidly expanding client base of 10+ blue-chip institutional investors managing **$100B+ in AUM**.\n\n* **For investors:** A secure, plug-and-play platform with curated AI agents to streamline research, diligence, and analysis.\n* **For AI startups:** A distribution and infrastructure layer that gets your agents in front of institutional clients, with SOC 2-level compliance, usage tracking, and real-world data access.\n\nWe’re now opening up access to our Agent Marketplace for startups building fintech AI tools.\n\n### **⚙️ How It Works**\n\n* Investors can upload any document or search for filings and instantly run a vetted AI agent — like an SEC filings parser or investment memo generator.\n* AI startups can integrate their agents through our SDK and securely run them inside investor workflows — no sales motion required.\n* All data is stored in a secure Data Vault with workspace-level access, so funds can collaborate and startups can serve verticalized use cases.\n\n🎥 [Here’s a 90-second demo of how it works](https://youtu.be/piElxwuZXbM):\n\n---\n\n### **🎯 Who It’s For**\n\n* **Investors and funds**: Looking to adopt AI but want a secure, curated, and compliant solution.\n* **AI startups**: Building tools for the investment ecosystem and looking for distribution, infrastructure, and real customers.\n\n---\n\n### **📣 Call to Action**\n\n* 🎯 **Funds**: Want to try the platform? **Please reach out to us at** [**founders@vantedgeai.com**](mailto:founders@vantedgeai.com)\n* 🤖 **AI startups**: Want distribution to $100B+ in AUM? [**Join the Agent Marketplace waitlist**](https://forms.gle/cHen2Hh74n3B1Npr8)\n\n### **🙌 Thanks YC**\n\nWe wouldn’t be here without the YC community, and we’d love your feedback, intros, or support. If you’re building in AI, fintech, or investing, we’d love to connect.", "url": "https://www.ycombinator.com/launches/NF1-vantedge-ai-the-agent-marketplace-to-scale-your-investing-workflows", "votes": 12, "created_at": "2025-04-08T19:51:06.367Z" }, { "id": 80487, "title": "Yardstick - Data-driven startup valuation and KPI benchmarking tool", "tagline": "Benchmark and value startups with ease", "body": "Hello, YC community! We're Ravi and Vijay, data enthusiasts and startup founders who've faced the significant challenge of quantifying startup success. Through our experiences in building and growing companies, we've recognized a glaring need in the market for transparent, accessible benchmarking and valuation metrics—tools that rely on data rather than just intuition or incomplete data. Here is a [quick demo](https://app.storylane.io/share/916eqxtsotpo). \n\n![uploaded image](/media/?type=post&id=80487&key=user_uploads/763615/96e63adc-0b0b-46db-a6cc-0ddca5afeb65)\n\n**What Yardstick Offers:**\n\nYardstick delivers comprehensive tools for accurately benchmarking startup performance and estimating valuations. _Our platform utilizes an extensive dataset of startup performance metrics, providing growth rate percentiles to precisely position startups against a broad database. Moreover, Yardstick computes valuation estimates_ through sophisticated models that analyze KPIs in relation to valuation data and qualitative insights from hundreds of startups.\n\n**The Problem and Our Journey:**\n\nNavigating the vibrant startup ecosystem, we found that evaluating these ventures has traditionally been more art than science_. Our experience in assessing hundreds of early-stage startups for equity and debt investments revealed the difficulty of understanding their market standing without resorting to costly market research or external consultants_. This challenge inspired the creation of Yardstick.\n\n**Our Solution:**\n\nYardstick seamlessly integrates into the workflows of fintechs, investors, and entrepreneurs wanting to underwrite a startup’s performance. Our solution offers not just KPI benchmarking but also insights into current valuations. _With both an API and a user-friendly web application_, Yardstick serves both technical and non-technical users, ensuring comprehensive accessibility.\n\n**Give it a try:**\n\nWe are thrilled to introduce Yardstick and are eager for your feedback. Whether you are a fintech looking to perform KPI benchmarking on potential clients, an investor in need of data-driven tools, or a startup founder trying to understand where your startup stacks up against peers or what should be the latest valuation based on current traction, [we invite you to try out Yardstick](https://ventureinsights.ai/yardstick/) (without a need to sign up!) and share your insights. For those interested in integrating our tools directly, check out our [API documentation](https://documenter.getpostman.com/view/32615745/2sA35G3MMX).\n\nWe look forward to your feedback!\n\nThank you,\n\nRavi and Vijay", "url": "https://www.ycombinator.com/launches/KwB-yardstick-data-driven-startup-valuation-and-kpi-benchmarking-tool", "votes": 7, "created_at": "2024-04-29T16:44:40.352Z" }, { "id": 79828, "title": "Ventureinsights.ai - Stay on top of your angel portfolio with Smart Updates", "tagline": "Effortlessly oversee your investments, with all the critical information you need at your fingertips", "body": "As an angel investor, if you have more than a handful of startups in your portfolio - staying on top of how each company has been performing through their investment updates is hard as it is difficult to remember their KPIs and goals from their past investment updates. At [VentureInsights](https://d2vchz04.na1.hs-sales-engage.com/Ctc/I9+23284/d2VcHZ04/Jll3l5QDW7Y8-PT6lZ3p1W5CnVzJ74HHFqW2cDQZK3w0lS2N2DPgRM2mnSXW7jhCrx1-80tGW6KWBsH3yQ423W3dCVRC4zzGg0W7SFwY58DSQxwW1wh6wZ1yNz2yW2vwcTV6R2x7WW8wFCM24RdyFBW3pbYyX8JcB6mW9dC9Yy98f9RLW8GM13H59q25kN5JDmyQ5NJfHW7bflGj4W15DbW39dwrq2sZ44lW5MSk1L4Ytt7YN29Pt1s17ZP8W39H9Nq1CPqbrW3DBFhf1SJ7qyW4mfrMn7_yq8fW4rPFC65-11JFW2VLKHY4BjmnYW7grPCC5NJqgZW3nxBSB4yr6LxMdG2b7tjzyDf5J9l9b04), we understand the value of your time and investments. That's why we've developed a tool that makes it super easy to monitor and manage your angel investments - introducing the [Smart Updates](https://d2vchz04.na1.hs-sales-engage.com/Ctc/I9+23284/d2VcHZ04/Jll3l5QDW7Y8-PT6lZ3p0W8fMLXx20nsnJW1Fvfzk6LTlP8W7_dsKt4MkxzyW7T-3sj5km1B2W8lqhdj1vMTQrW6sggCG8Jq_dqN2NQgS0YVlbcW5xtKvn5wf6VvVvQ49m70_-3zVgNJNn8k216sW2_mcJy5Hl3wLW1TfLDV4Q-LdNW6j82r87k1rF4W6q-ZFr2YTTCqW3GHkcR7hz18dN7-ndQnKdzldW4qwwSL8MqJHbW3nV7Fy6Y_TGpN3B7ZKfrf5MmW1Ww_9j5Mkt4vVL6n3X3FwV22W5L00xN6LMzKFW8KLgCj5GB_fDV3P8q38yQBpxW583JwQ83tvL8W6L7LzC8dLjx4f4qcN9T04) tool.\n\nYou can check out a quick demo here: \n\n[Smart Updates](https://d2vchz04.na1.hs-sales-engage.com/Ctc/I9+23284/d2VcHZ04/Jll3l5QDW7Y8-PT6lZ3nvW2KsthG7X96xrN50pTLK_FNYWN7015NBP-H4NW2FHRff7hYp1rW3VxbFM4fFNvrN7TZNPL81Rx1W6g377d734DhZW5ypF8m8W5nZpW804f8l5DhMsDW4XB9ss2dfGn-W1BkkVW551P7yW1fFJD868ChbQN7sgyWVP3wjQW3LCD753v0hbRW71Nzv42zVC0bVjpXy21wGF9zW19W_D443lVc-W12vQXT8kPHLHW1Kck915rMMt8W4LMN0J4K92bwW5qvD716NvgvwW8cBhhG81-GHDW2GMCy15YydKNW2BPzxL6mQrXwW5DvtKh6Gw1ssW7fSQNv5nF78FdTBS7P04) is designed to streamline your investment oversight process. It collates, summarizes, and visualizes the key performance indicators (KPIs) of your portfolio companies through engaging graphs and concise summaries. Our tool also smartly tags and organizes periodic updates from founders, allowing for a seamless review process.\n\n![](https://lh7-us.googleusercontent.com/HW6OYmd-pGO2k9jwRLHrY6Z-zCB79mLvmx-8DMW4240EyJR-mvVMQCRFg3etNY5M_K7k1nUfGt3Mz9VQaUR1RaJ8RsPyYqrPAE29lM0DudvTL7enJ4Y4RSIYZS2Tnel5DmBJx42arzcePasBykiBY-o)\n\nImagine having the ability to effortlessly oversee your investments, with all the critical information you need at your fingertips. [VentureInsights](https://d2vchz04.na1.hs-sales-engage.com/Ctc/I9+23284/d2VcHZ04/Jll3l5QDW7Y8-PT6lZ3ngW3ryJGW988LTtVCB1qF3P6-vKV36xRM2qB12PW8cD7cx7NSV9-W5xfpFw676htDW7V4P7D1qWRpSW7Zv5Rb1nlw6TW4cnG0F3P4XD2W6T2KzH3yzsB0W6qM6Gj8VF64tN55l1Xf_hxnGW2YXl3T1Vt3rgW7W86w07jC8DvW7GRV6N4qWD6DW6nzz735lLkhXW2jCN6Z63jGhrW68NjHW81PX0xW6jkWXD2X_LYGW5RZHt835pHw1N78K1WkRJFMcW1t90vJ545dxkW5x3mW95jRDPCW5gy2LH6qbJKHW16_zgx13L1c-W43SF4V62lwBgW8FL4Pt3HpS31f6Z0gDF04) makes this possible, through a dashboard with the insights you need to make informed decisions and maximize the potential of your portfolio.\n\nWe believe that effective monitoring leads to better support for your investments and, ultimately, to higher returns. Let VentureInsights take the complexity out of managing your angel investments, so you can focus on what you do best - identifying and investing in the next unicorn! \n\nLearn more and sign up by visiting [VentureInsights](https://d2vchz04.na1.hs-sales-engage.com/Ctc/I9+23284/d2VcHZ04/Jll3l5QDW7Y8-PT6lZ3nHW1sBdsm3Nnz8wW9llzzq4q5vt3N3mz7FK7GZxJW22YdHZ6NL9dLW1Q2VPz4_hWr7VFBrpq8bcvRSN846zRq1lLBFN1dwH99HldbCN2W3fM0jzHRhW3zQ73V93GGl8N52DSZBB67vnW3m6MSS6LN4DXW5LmmR18wC_SQW4VkpTP3Bdc2LW1419rf3Yzkp8W2R3VGW10-MwfN1x34MPHjqgQW9hHggj96cYLQW43PKsz8H3q0hW71rLtY2xG6H2N3kYKzmf7-MQVKvxSz26_tGvW1SZp0X3wWy8nW4WMzfB5BNhStW4JSl5t7YnKsfW2DF5Z52Z8wPlf1xW0tv04) today. \n\n Best,\n\n8vdx Team", "url": "https://www.ycombinator.com/launches/KlY-ventureinsights-ai-stay-on-top-of-your-angel-portfolio-with-smart-updates", "votes": 10, "created_at": "2024-03-30T21:34:33.124Z" }, { "id": 76266, "title": "🚀 VentureInsights: Intelligent data-driven decision-making for investors", "tagline": "VentureInsights harnesses AI to empower VCs and angels with actionable intelligence and data-driven decision-making.", "body": "Hey everyone! 👋\n\nWe're thrilled to unveil [**VentureInsights**](https://www.8vdx.com/ventureinsights/), our latest venture in revolutionizing early-stage investing. Having backed over 90 YC startups, we've crafted a solution to the persistent challenges of investment discovery, analysis, and monitoring.\n\n[ ](https://www.youtube.com/watch?v=IDo_EN21P4E)\n\n### **The Problem**\n\nEarly-stage investing is fraught with scattered data, cumbersome discovery, and a lack of effective tools for analyzing startups with minimal track records. Post-investment, investors grapple with the pain of tracking scattered investment updates, often losing out on pivotal insights.\n\n### **The Solution**\n\nEnter VentureInsights, your AI-driven hub for early-stage investing. Here's how we're changing the game:\n\n1. **Easy Discovery**: Connect with actively fundraising startups, reducing the grunt work of finding investment-worthy ventures.\n2. **In-Depth Analysis**: Convert inbound founder communications into detailed investment profiles with our AI Analyst tool, giving you the essentials to make informed decisions swiftly.\n3. **Smart Monitoring**: Our Smart Updates feature parses regular updates from your portfolio companies, offering a continuously refreshed performance snapshot and industry benchmarking via the 'Yardstick' score.\n\nAlready, many YC founders have expressed interest in VentureInsights. Experience VentureInsights firsthand with the [**click-through**](https://app.storylane.io/share/sfhx5tbvsqmv) demo or just book a personal demo with our team through this [**calendar link**](https://meetings.hubspot.com/vijay-lavhale/vi-demos).\n\nTo celebrate our launch, we're providing $200 in joining credits that can be applied towards subscription fees ($19.99/month), and AI reports ($9.99/report). No credit card is needed to start your trial.\n\nJoin the venture revolution with us, and let's navigate the investment journey together.\n\nCheers,\n\nRavi and Vijay (Founders@8vdx.com)", "url": "https://www.ycombinator.com/launches/Jq6-ventureinsights-intelligent-data-driven-decision-making-for-investors", "votes": 12, "created_at": "2023-11-15T23:47:27.197Z" }, { "id": 68625, "title": "8vdX - Extend your seed extension with a ‘seedex booster’ of up to $1M", "tagline": "Venture debt marketplace with a fundraising stack for early stage startups", "body": "**We are excited to announce the launch of 8vdX Seedex Booster, a new addition to our expanding product portfolio at 8vdX. This product offers early stage startups the opportunity to access seed extension debt of up to $1 million.**\n\nUntil recently, we were focused on providing bridge to Demo Day loans to current YC batches. However, the current market environment has given us the opportunity to expand our product offering.  The 8vdX Seedex Booster aims to solve some of the fundraising challenges currently being faced by founders including;\n\n* Not enough funding runway to meet the performance benchmark expectations of series A investors\n* Decreased valuations that require founders to achieve significantly higher targets in order to avoid a down round \n* Raising seed extension rounds can be challenging in the current environment\n\n8vdX's Seedex Booster program augments a startup’s seed extension raise with up to $1 million of additional funding with founder friendly venture debt.\n\n**How it works is pretty simple:**\n\n**8vdX is offering to contribute up to 25% of a startup's seed extension round**, with the remaining 75% sourced from insiders or others. Our ticket size is between $250k-$1 Mn, capped at 25% of your seed-ex round. Here is an example of how it would work:\n\n* Let’s say you are a startup which has just launched a **$1 Mn seed-ex round** and applied for the 8vdX seedex booster. After evaluating your startup, 8vdX gives a commitment of $250k representing 25% of the total seed-ex round. \n* **We will disburse the $250k** along with the $750k equity investment from other investors. _If you raise $750k in multiple tranches, we can make pro-rata disbursements_.\n* Maturity of up to 18 months or Series A closing, whichever is earlier\n\n_Assuming, the following terms have been negotiated and agreed upon by both parties:_\n\n* Interest cost: \n * cash interest of 1% per month ($2.5k) that you pay each month and\n * bonus SAFE of 5% i.e. ($125k) with the same valuation cap as the seed extension investors. \n\n_8vdX allows for flexibility in selecting a combination of cash interest and bonus SAFE._\n\n* Repayment schedule: The seedex booster will be repaid with the Series A funding. However, founders have the option to create an amortization schedule to prepay the loan or extend it upon maturity.\n\nOverall terms are founder-friendly terms as there is **no prepayment penalty, no collateral, no personal guarantees & no enforcement action.**\n\n**Please apply at** [**8vdx.com**](http://8vdx.com) **or email us at** [**zeronote@8vdx.com**](mailto:zeronote@8vdx.com)\n\n**Our aim is to help you achieve your maximum potential and successfully raise Series A funds.** How do we know this approach works? We have firsthand experience using it to drive growth and secure successful fundraises for startups. In fact, our own business model was developed through observing startups leverage our capital to accelerate their growth and secure successful fundraises.\n\nWe are thrilled to have already partnered with over 20 YC startups and look forward to supporting you as well. Join us in driving this innovative approach to fundraising!\n\n**Interested startups, please visit our digital** [**platform**](https://8vdx.com/) **to learn more and apply.** The entire process is simple, transparent, fast, and completely digitized. If you have any questions, please feel free to email us and we will be more than happy to set up a call.\n\nThanks,\n\nTeam 8vdX", "url": "https://www.ycombinator.com/launches/Hqr-8vdx-extend-your-seed-extension-with-a-seedex-booster-of-up-to-1m", "votes": 15, "created_at": "2023-01-23T16:24:03.035Z" }, { "id": 66668, "title": "Fundraising CRM for early stage startups from 8vdX", "tagline": "Enabling startups to fuel their growth through our fundraising stack and alternative sources of capital", "body": "Hi guys! **We are so excited to share our new fundraising CRM!** This is a product that is something we desperately needed, so we built it to help not only us, but the larger startup community. 🥰\n\n**The Problem:** \n\nAs we all know, fundraising can be overwhelming **😩** and hard to keep track of:\n\n* Leads can be hard to organize and schedule. \n* Following up with everyone who contacts us can be difficult!\n* Research on the caliber and reputation of VCs can be hard to gauge. Do they have a history of investing in companies like us? What are their normal check sizes? 🧐 Who is in their existing portfolio?\n\n![My Dumpster Fire Is Filled To The Brim Sarah Wayne Callies GIF - My Dumpster Fire Is Filled To The Brim Sarah Wayne Callies Robin Perry GIFs](https://media.tenor.com/lMrxlxggxXMAAAAC/my-dumpster-fire-is-filled-to-the-brim-sarah-wayne-callies.gif)\n\nWe could go on, but you get it– we’ve lived it, after all. \n\n**The Solution 😃:**\n\nOur new fundraising CRM makes organizing your raise easy by:\n\n* Keeping track of your leads, including follow ups and replies. \n* Making it easy to upload your leads and track them from initial contact to close in a single place\n * This is particularly useful for anyone who is still fundraising from the S22 batch!\n* Targeting investors with high conversion rates and larger check sizes 🤑\n* Providing a clear snapshot of where you are in your goals with our dashboard. 🥳\n\n![uploaded image](/media/?type=post&id=66668&key=user_uploads/763615/2e7f70ea-bd3f-4ae2-b052-3b4331a3af10)\n\n**We just launched and would love any and all feedback on this!** Your time is valuable, so the **first 20 startups** able to get on a zoom call with us will get a **$100 gift card to Amazon.**\n\nMuch love,\n\nThe 8vdX fam❤️", "url": "https://www.ycombinator.com/launches/HLI-fundraising-crm-for-early-stage-startups-from-8vdx", "votes": 46, "created_at": "2022-10-12T17:04:14.257Z" } ] }, { "id": 25712, "name": "Finnt", "slug": "finnt", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/76ced0ae663413325aa735ad7b15bae4019f286f.png", "website": "https://finnt.com", "all_locations": "", "long_description": "Finnt AI Agents run Controllership and Accounting procedures to accelerate time to close and increase accuracy. ERP-ready journals and financial reports delivered in under 5 minutes, with audit-trail and commentary. \r\n", "one_liner": "AI Agents for CFO and Finance teams", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1643292732, "tags": [ "Finance", "B2B", "Workflow Automation", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Inactive", "industries": [ "B2B", "Finance and Accounting" ], "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/finnt", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/finnt.json", "year_founded": 2022, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/finnt-app", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/finnt", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/76ced0ae663413325aa735ad7b15bae4019f286f.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": 545603, "full_name": "Anji Ismail", "title": "Founder/CEO", "founder_bio": "Repeat entrepreneur.\nAspiring astronaut.", "is_active": false, "linkedin_url": "https://linkedin.com/in/anjismail", "x_url": "https://twitter.com/anjismail", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1069242f1cce8f7425c1db1c05887b21275dd662.jpg" }, { "user_id": 845969, "full_name": "Faouzi EL YAGOUBI", "title": "Founder", "founder_bio": "Software expert with 10 years of experience focused on Software Engineering, Product Management.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/faouzi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/591c1f5f17e05411c95b18c86a42194c694ca9b1.jpg" } ], "jobs": [], "news": [ { "title": "Finnt raises $3.5M seed to help cross-border families send, save, and spend money - Refresh Miami", "url": "https://refreshmiami.com/finnt-raises-3-5m-seed-to-help-cross-border-families-send-save-and-spend-money/", "date": "Jun 08, 2022" }, { "title": "Big Announcement : Finnt Raised $3.5M", "url": "https://www.finnt.com/finnt-raised-announcement/", "date": "May 11, 2022" } ], "launches": [] }, { "id": 26738, "name": "Integration Labs", "slug": "integration-labs", "former_names": [ "RootFi" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ea7e6661f892abcb5298813588ef6cc256d72baa.png", "website": "https://www.integrationlabs.co", "all_locations": "Bengaluru, KA, India", "long_description": "Integration Labs makes it easy to interact with your business customers' financial data.\r\n\r\nLeading SaaS, payments, and financial service companies use a single API to seamlessly retrieve and sync data across their customers' accounting, commerce, and payments platforms.\r\n\r\nWith Integration Labs, B2B companies integrate once to connect to 30+ accounting, payments and e-commerce integrations and build innovative business tools for invoice financing, digital lending, expense management, automated AP/AR reconciliation, and more.", "one_liner": "The Unified API for Business Financial Data ", "team_size": 8, "industry": "B2B", "subindustry": "B2B", "launched_at": 1654751226, "tags": [ "SaaS", "Workflow Automation", "API", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Inactive", "industries": [ "B2B" ], "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/integration-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/integration-labs.json", "year_founded": 2022, "city": "Bengaluru", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/rootfi", "x_url": "https://twitter.com/RootFiAPI?s=20", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/clear-money", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ea7e6661f892abcb5298813588ef6cc256d72baa.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 638870, "full_name": "Ishwar Gogineni", "title": "Founder", "founder_bio": "Founder of Kelasa. Previously co-founder of Integration Labs (YC S22), acquired by Commenda in 2025. Later led product at Commenda. MSc Finance from Imperial College London. BSc Mathematics and Finance from USC.\n", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/ishwar-gogineni/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3ae011cacaa134f9240a58023b1dee53fb2b7f9a.jpg" }, { "user_id": 816890, "full_name": "Parth Shah", "title": "Founder", "founder_bio": "CTO of Rootfi", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/parth-yo-shah/", "x_url": "https://twitter.com/cryptofudin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/17455967a319786cb395ebabee36d62358b52090.jpg" }, { "user_id": 803375, "full_name": "Sidharth Rao", "title": "Founder", "founder_bio": "", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/siddharth-rao-33ba80146/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ab5a5af682f8bd6c732f71b69ee13bf36ff3fe31.jpg" } ], "jobs": [], "news": [ { "title": "Y Combinator-Backed Rootfi Wants To Automate Accounting Process For Businesses", "url": "https://inc42.com/startups/y-combinator-backed-rootfi-wants-to-automate-accounting-process-for-businesses/", "date": "May 15, 2023" } ], "launches": [] }, { "id": 26792, "name": "Activepieces", "slug": "activepieces", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e3da00ac0f6b66a7e896be53679d01b6fe5fd45.png", "website": "https://www.activepieces.com", "all_locations": "San Francisco, CA, USA", "long_description": "Activepieces is an open-source (MIT) business automation software.\r\nFor example, you can build automations to receive email and Slack notifications about new contacts add to your HubSpot CRM.", "one_liner": "Open-source, AI-first and no-code business automation tool", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1657116357, "tags": [ "Workflow Automation", "Open Source", "No-code", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "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/activepieces", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/activepieces.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/activepieces/", "x_url": "https://twitter.com/activepieces", "fb_url": "https://www.facebook.com/activepieces", "cb_url": "https://www.crunchbase.com/organization/activepieces", "github_url": "https://github.com/activepieces/activepieces", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e3da00ac0f6b66a7e896be53679d01b6fe5fd45.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": 138932, "full_name": "Ashraf Samhouri", "title": "Founder/CEO", "founder_bio": "Ended up responsible for growing our ARR so I guess I do sales from the perspective of a software engineer, on a mission to make AI a native part of enterprise through open source automation (aka Activepieces)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ashrafsam", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e91e5e9ed7c7a1da6530ccd4dee552e196bbfe3d.jpg" }, { "user_id": 724168, "full_name": "Mohammad AbuAboud", "title": "Founder/CTO", "founder_bio": "I love building cool stuff. Started programming at 13 and never looked back—turns out, breaking things is the fastest way to learn.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mohammad-abuaboud/", "x_url": "https://mobile.twitter.com/mabuaboud", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b9a11f094d4568c74704be4223fe03b4eeeac74e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 68665, "title": "Activepieces – Open source alternative to Zapier", "tagline": "No-code business automation that is open-source and can be self-hosted.", "body": "**tl;dr** You can now host an equivalent software to Zapier to automate your work. You can automate your sales process, marketing operations or back-office without writing code (or with, if you’d like to).\n\n—\n\nHi everyone!\n\nWe're [Mohammad](https://www.linkedin.com/in/mohammad-abuaboud/) (ex-Google) and [Ashraf](https://www.linkedin.com/in/ashrafsam) (3x founder), and here is what we’re building 👇\n\n### 💔 **Problem**\n\nIt can quickly get **too expensive 💰** to use automation tools like Zapier, and if you can’t or hate to **send your data to 3rd parties** [**🔒**](https://emojipedia.org/locked/) it’s already challenging to use these tools.\n\n### 🕺 **Our Product**\n\nActivepieces is a no-code business automation tool. It’s open-source (MIT licensed) and can be self-hosted on your servers.\n\nHere is a 2-min video by our founding engineer Abdul, who’ll explain how to automate sending notifications about a new **Pipedrive** Person to **Slack** and **Email**.\n\nhttps://www.youtube.com/watch?v=IY4TI6jGBwM\n\n### ❇️ **Difference from Zapier**\n\nWhile Zapier offers a cloud service, Activepieces is:\n\n1. **Self-hosted:** You can keep your data on your servers (helpful for data privacy).\n2. **Open-source:** the platform and the connectors (don’t wait for us to build the connector).\n3. **Free** (helpful for .. your pocket).\n\n### 🖌️ **Use Cases**\n\nWe’re working with some users at companies to:\n\n* Automate lead flow: from blogs to MailChimp and CRMs.\n* Centralize notifications: from marketing/sales to Slack workspace.\n* Automate operations: a company is using us to convert pdfs to text, summarize them and submit them to their proofreading team.\n\n### 🟢 **Status**\n\nWe just launched with **15 apps** including OpenAI, HubSpot, MailChimp, Stripe, Pipedrive, Gmail, SendGrid — and adding more.\n\nOur focus is to build the free product and the community around it. Later, we’ll make money from enterprise features.\n\n### 🙏 **Our Ask**\n\nYou can try out Activepieces on the [Playground](https://demo.activepieces.com/sign-up?utm_source=launch&utm_medium=post&utm_campaign=launch_yc) and we’ll be happy if you give us a star ⭐ on our [GitHub repo](https://github.com/activepieces/activepieces)!\n\n### 🖇️ **All links**\n\n* Website: [www.activepieces.com](http://www.activepieces.com?utm_source=launch&utm_medium=post&utm_campaign=launch_yc)\n* Github repo (star us maybe?😳❤️): [https://github.com/activepieces/activepieces](https://github.com/activepieces/activepieces?utm_source=launch&utm_medium=post&utm_campaign=launch_yc)\n* Playground: [https://demo.activepieces.com](https://demo.activepieces.com/sign-up?utm_source=launch&utm_medium=post&utm_campaign=launch_yc)\n* Community (Discord): https://discord.gg/2jUXBKDdP8\n\nI’ll be happy to help anyone get set up (or grow out of Zapier): [founders@activepieces.com](mailto:founders@activepieces.com)", "url": "https://www.ycombinator.com/launches/HrV-activepieces-open-source-alternative-to-zapier", "votes": 45, "created_at": "2023-01-24T18:10:00.535Z" } ] }, { "id": 26793, "name": "Windmill", "slug": "windmill", "former_names": [ "Windmill.dev" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/65ba001ab4d9a51e57b2d599e1b3c910c0a39b01.png", "website": "https://windmill.dev", "all_locations": "Paris, Île-de-France, France", "long_description": "Windmill is an open-source developer platform that turns scripts into workflows, internal tools, and full-stack apps.\r\n\r\nWrite scripts in Python, TypeScript, Go, Bash, Rust, SQL - Windmill auto-generates UIs from their parameters, handles dependencies, credentials, permissions, and scheduling so you focus on business logic, not infra.\r\n \r\nOpen-source alternative to Airflow, Temporal, Retool and n8n. Chain scripts into flows with branching, parallelism, retries. Build dashboards with the app builder. Trigger via cron, webhook, or UI. All-in-one runtime, editor, secret manager, and OAuth platform - enterprise-ready out of the box.\r\n \r\nStack: Rust / TypeScript + Svelte / PostgreSQL. Self-hostable, easy to deploy, built for performance and DX.", "one_liner": "Open-source platform to turn scripts into internal apps & workflows", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1651798285, "tags": [ "Developer Tools", "SaaS", "B2B", "Workflow Automation", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "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/windmill", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/windmill.json", "year_founded": 2022, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/windmill-dev", "x_url": "https://x.com/WindmillDev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/windmill-labs/windmill", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/65ba001ab4d9a51e57b2d599e1b3c910c0a39b01.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8bae564e0c7ca477efb46466f76a9b96d0a3e84f.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 229730, "full_name": "Ruben Fiszel", "title": "Founder", "founder_bio": "Ruben was top of his class MSc in CS at EPFL, did research on compilers from Scala to Hardware at Stanford, built the first open-source library for reinforcement learning for Java, , built distributed systems at scale at Palantir and ran the engineering team at a Multi-Party Computation startup. He is now building Windmill, an open-source alternative to Retool, Pipedream, Airplane that contains the infra to run it and that you can deploy at scale.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rubenfiszel/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8fbc73c8ea02cf3ca30ba2ae9aa7e3ab94e9df6.jpg" } ], "jobs": [ { "id": 93198, "title": "Founding Growth & Developer Marketing", "url": "https://www.ycombinator.com/companies/windmill/jobs/t7ToQBK-founding-growth-developer-marketing", "location": "Paris, Île-de-France, FR / Remote (FR; DE; GB; ES; IT)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "€50K - €100K EUR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 93199, "title": "Product Software Engineer", "url": "https://www.ycombinator.com/companies/windmill/jobs/aXpL7BC-product-software-engineer", "location": "Paris, Île-de-France, FR / Geneva, GE, CH / Remote (FR; CH)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€50K - €95K EUR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "PostgreSQL", "Rust", "TypeScript", "Machine Learning", "Svelte", "LLMs", "AI Agents", "Generative AI" ] } ], "news": [], "launches": [ { "id": 65264, "title": "Windmill: Turn scripts into internal apps and workflows", "tagline": "Fully open-source developer platform to turn any python, typescript, SQL into internal apps, integrations and workflows", "body": "## Developer platform for APIs, background jobs, workflows and UIs\n\nWindmill is an open-source developer platform to quickly build production-grade internal apps, workflows and integrations from scripts in Python, Typescript, Go, Bash, SQL.\n\nOpen-source alternative to Airplane and Pipedream. Simplified Temporal with automatic app generation. Usable as a self-hosted AWS Lambda.\n\nSync your scripts from your GitHub repo or write them directly on Windmill, have them be converted to apps and no-code modules automatically. Use those apps as standalone (triggered on demand, by webhook or schedule) or build powerful flows using those scripts. The experience is similar to no-code tools except that at any point, any module can have its code inspected and tweaked. Leveraging the open-source community, we will build an exhaustive library of scripts for all APIs and generic tasks on [hub.windmill.dev](https://hub.windmill.dev/).\n\nYou may also wrap Windmill with your own frontend to provide automation as a feature on top of your own SaaS.\n\nFocus on your business logic for all kind of flows, Windmill is the platform to build, share and run them.\n\n## Active Founders\n\n**Ruben Fiszel**\n\nRuben was top of his class MSc in CS at EPFL, did research on compilers from Scala to Hardware at Stanford, built the first open-source library for reinforcement learning for Java, built distributed systems at scale at Palantir and ran the engineering team at a Multi-Party Computation startup. He is now building Windmill, an open-source alternative to Retool, Pipedream, Airplane that contains the infra to run it and that you can deploy at scale.\n\n### The sweet spot between low-code and code from scratch\n\n### Open-source and self-hostable alternative to Pipedream and Airplane. Simplified Temporal\n\nTo build internal apps for ops, integrations between services that cannot talk to each other directly, or to run background jobs that run your business logic and analytics, the two main options today are no-code solutions and old-fashioned, roll-your-own scripting. Both have problems, and our goal with Windmill is to find a new sweet spot between the two. No-code solutions are productive _if_ your problem matches the tool exactly - but if not, they are rigid, hard to extend and quickly become tech debt, annihilating their initial time advantage. Indeed, no-code is just code but made by an opinionated someone else and hidden as a blackbox with an UI.\n\nThe alternative is to do it the old-fashioned way, writing everything from scratch, both backend and frontend, perhaps deploying it on the latest flavor of serverless, and pray to never have to touch it again because that took way too much time and it has now became a burden that the ops and business team might poke you about regularly.\n\nFurthermore, the landscape of SaaS is specialized tools for everything—alerting, data analytics, administration panels, support management, integration between services—when it feels like a few scripts and some SQL would have been as good or even better and spared you the need of depending on one yet another tool. This could be even further facilitated if there was a way to import the right bunch of scripts from a fellow community of engineers, tweak it and deploy it like you can do in communities where automation can be shared as simple JSON files, for instance in the node-red or home assistant community… That’s the idea of Windmill: to bring back the power of scripting in an easy but high-scale production-grade way.\n\n## What are good use cases for Windmill\n\n1\\. The biggest pain we solve is to turn scripts that you would run on your own laptop as internal apps that you can share with your team.\n\n2\\. Avoid SQL queries to production in favor of templatized SQL made into apps instead (automatically!). Making live SQL queries is common in DevOps, support and ops in general. It can be very error-prone, stressful and inconvenient.\n\n3\\. Integrations between tools you already use but that are unable to talk to each other.\n\n4\\. Workflows, background jobs: code that runs very frequently to react to new events, transform data and run your business logic. Many companies are a frontend on top of a database, and that database is updated in the background. We make it possible to build those workflows from simple scripts so that you can build it faster, more reliable and easier to maintain.\n\n5\\. The last one only apply if you are a SaaS that wants to provide automation as a feature of your product, or a no-code tools yourself. Because we focused very much on the hard-engineering of orchestration and specs for workflows, you might simply want to wrap Windmill to offer it to your own clients.\n\n### Where is the catch, how do you make money\n\nWe make money from support, dual licensing of commercial licenses (for SaaS wrapping Windmill or for clients requiring it) and the hosted solution. On self-hosted, our Enterprise plan embedds:\n\n* SLA & Priority Support 24/7\n* Design partners for roadmap (priority on feature requests)\n* Enterprise-specific features (Audit logs, Distributed dependency cache backed by S3, SAML support etc.)\n\nWe are workflows experts and would be happy to support you to transition to clean code working on open-source software.\n\nYou can however self-host it for free forever as long as you do not go against the AGPL license (keep open-source or do not provide it as your service).\n\n![uploaded image](/media/?type=post&id=65264&key=user_uploads/229730/0fe6dab5-5378-4e2e-ad66-930378bbe8ac)\n\n![uploaded image](/media/?type=post&id=65264&key=user_uploads/229730/5d176de7-2303-49de-adb4-9bb98c559506)\n\n![uploaded image](/media/?type=post&id=65264&key=user_uploads/229730/e1d39016-bd36-4241-b0df-a5f7799ef4f5)\n\n**Docs:** [https://windmill.dev](https://windmill.dev/)\n\n**Hosted app:** [https://app.windmill.dev](https://app.windmill.dev/)\n\n**Self-host (star us!):** \n\n**Discord to chat with the team/community:** \n\n**Schedule a demo:** \n\n**Windmill on HackerNews:**\n\n* [Aug 9 2022, HN Launch](https://news.ycombinator.com/item?id=32400849)\n* [May 12 2023, Before v2](https://news.ycombinator.com/item?id=35920082)\n* [Nov 22 2023, Why Windmill is the fastest self-hostable workflow engine?](https://news.ycombinator.com/item?id=38383138)", "url": "https://www.ycombinator.com/launches/Gye-windmill-turn-scripts-into-internal-apps-and-workflows", "votes": 17, "created_at": "2022-08-10T13:00:24.836Z" } ] }, { "id": 26890, "name": "Latent Space", "slug": "latent-space", "former_names": [ "wagmi", "Payable" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c0b56165e84e87a8ef9fc8ec4eddc18beadea9d.png", "website": "https://latentspace.sh/", "all_locations": "Jakarta, Jakarta, Indonesia", "long_description": "Latent Space develops AI applications specifically designed to address the unique challenges and opportunities in emerging economies. Our products are Halo AI (an AI universal concierge for SEA enterprises), GoVisa (an AI-enabled online visa and permit application), and Supa (a hyperlocal knowledge AI for 280M+ Indonesians).", "one_liner": "Applied AI for The Emerging Economies", "team_size": 100, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1657560214, "tags": [ "SaaS", "Workflow Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Consumer" ], "regions": [ "Indonesia", "Southeast Asia", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/latent-space", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/latent-space.json", "year_founded": 2022, "city": "Jakarta", "country": "ID", "linkedin_url": "https://www.linkedin.com/company/payableid/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c0b56165e84e87a8ef9fc8ec4eddc18beadea9d.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": 205368, "full_name": "Faza Fahleraz", "title": "Founder", "founder_bio": "Co-Founder at Payable. Helping millions of Indonesian businesses to accept payments online without writing any code.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ffahleraz/", "x_url": "https://twitter.com/ffahleraz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d83285770f1cb33694c85eea8c48a9b425f54d39.jpg" }, { "user_id": 1016578, "full_name": "Gery Nugraha", "title": "Founder", "founder_bio": "Co-Founder @ Latent Space. Building cool AI product in Indonesia", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gerynugraha/", "x_url": "https://twitter.com/gerynugrh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9adf1b9055b0b80f79c2f4787272861680ba694a.jpg" }, { "user_id": 677750, "full_name": "Albert Sahala", "title": "Founder", "founder_bio": "Cofounder at Latent Space.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/albertsahala/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c6b2b54394d6941ecf0d21066a12a2a343d8643b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 65481, "title": "Payable ⚡️ No-code Online Payments for Indonesia", "tagline": "We help Indonesian businesses accept payments online without writing any code.", "body": "Hi everyone, we’re Faza, Gery, and Albert, aka the team behind Payable!\n\n### 👋 Team\n\nFaza, Gery, and Albert were classmates back in Bandung Institute of Technology, #1 engineering school in Indonesia. We have been friends for almost 7 years and in early 2022, we started building Payable.\n\nPreviously, Faza worked at BCG helping enterprises to build their own digital ventures. Gery worked at Shopee Singapore as a Tech Lead, building robust systems at scale handling >1 million QPS. He even managed two PhDs in his team even though he is a bachelor’s graduate. Albert worked at L’Oreal, the biggest beauty company in the world to set up their social commerce business in Indonesia and grew it by 10x.\n\nDuring his time in L’Oreal, Albert realized how effective it is when beauty advisers sell products directly in WhatsApp, but it’s also very apparent how bad the payment infrastructure is (non-existent, actually). This led us to realize how massive the problem is, and how uniquely qualified we are to help solve it.\n\n### **❌** Problem\n\nIn Indonesia, online commerce is a really big thing, but almost half of those don’t happen on e-commerce sites, but rather they happen on apps such as WhatsApp, Instagram, Line, etc. Here, the payment infrastructure is basically non-existent. Everyone is still using bank transfers which create a huge pain for sellers because they have to spend hours manually reconciling hundreds of transfers every day. This also hurts the buyer’s experience since they have a very limited range of payment options.\n\n### ⚡️ Meet Payable\n\nThere are actually a number of existing online payment solutions in Indonesia, but all of them are too expensive and too hard to use for these small and medium sellers, hence they are stuck to doing manual bank transfers. But with Payable, we’re providing them with an online payment infrastructure that is 6x cheaper and much easier to use compared to the existing solutions.\n\n### ⚙️ How it Works\n\nWith Payable, sellers can easily create payment links, and send it to their customers via WhatsApp, Instagram, or other chatting apps. Their buyers can open the link and pay with various payment methods. After the payment is done, the seller will instantly get a notification and it’s all reconciled automatically.\n\n![uploaded image](/media/?type=post&id=65481&key=user_uploads/205368/003301ce-766c-4f7c-a847-b056ad83f4ad)\n\n### 🙏 Our Ask\n\nIf you know anyone who is selling stuff through WhatsApp or Instagram in Indonesia, we’d love to learn about their use case! Please hit us up at [founders@payable.id](mailto:founders@payable.id)!", "url": "https://www.ycombinator.com/launches/H29-payable-no-code-online-payments-for-indonesia", "votes": 24, "created_at": "2022-08-19T07:33:58.528Z" } ] }, { "id": 27253, "name": "Cone", "slug": "cone", "former_names": [ "Cone software private limited" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6749dbc3973af54314fb19bab89f96afd64cd254.png", "website": "https://www.getcone.io", "all_locations": "Hyderabad, Telangana, India; Remote", "long_description": "Cone is an AI-powered work operating system that unifies accounting workflows —\r\nproposals, tasks, billing, payments, and client engagement into one platform", "one_liner": "Work operating system for professional service businesses", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1655892820, "tags": [ "SaaS", "B2B", "Workflow Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "India", "South Asia", "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/cone", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/cone.json", "year_founded": 2022, "city": "Hyderabad", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/getcone/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6749dbc3973af54314fb19bab89f96afd64cd254.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1014395, "full_name": "Jahangir Mohammed", "title": "Founder", "founder_bio": "Jahangir is the co-founder of Cone.\nBefore Cone, Jahangir was the co-founder of Joveo - the leading platform that finds companies worldwide the most qualified hires in the least amount of time. From 4 to 300 employees, he helped the company scale and find product-market fit. He worked across all functions of the company.\nHe has held several technical and product leadership roles. He also advises early-stage startups. \nHe has a MS degree in Computer Science from Stony Brook University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jahangir27/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9a5895c39d74db13bc8aec04d77a2c08cdf6fbbb.jpg" }, { "user_id": 1006473, "full_name": "Bharath Kumar Reddy", "title": "Founder", "founder_bio": "Bharath is the co-founder of Cone.\nBefore Cone, he was a founding engineer at Rialtic. He led the engineering team to build a scalable and extensible platform for healthcare claims (raising $45 million in series A). Before that, he co-founded adaptive.team, which allowed businesses to manage OKRs through conversational bots.\nHe has a Bachelor's and Master's degree in Electrical Engineering from IIT Madras.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bharath-k-r", "x_url": "https://twitter.com/sunnylbk", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/22362e3efb42c01addc5a0a7e7e3e536a6534d4c.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 27702, "name": "Mulligan", "slug": "mulligan", "former_names": [ "Pyq", "pyq", "Pyq AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb7d742c0af1fc213b223ce6a9311844bfe178f6.png", "website": "https://insurestack.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Mulligan (now Insure Stack) is an end-to-end AI automation platform for commercial insurance brokers. Automates quoting, policy checking, proposals and more by up to 90%.\r\n\r\nIt was acquired in 2026 and is available here: https://insurestack.ai", "one_liner": "AI automation for insurance brokerages", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1669843803, "tags": [ "Documents", "Generative AI", "Finance", "Workflow Automation", "Insurance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "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/mulligan", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/mulligan.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pyq-inc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb7d742c0af1fc213b223ce6a9311844bfe178f6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1013488, "full_name": "Aman Raghuvanshi", "title": "Founder", "founder_bio": "Prior to co-founding Mulligan, I worked at Sightly where I was the Director of Product. Studied Computer Science at Claremont McKenna College (through Harvey Mudd) and graduated in 2018. I enjoy watching F1, reading (mostly historical non-fiction that reads like fiction) and playing squash. I have three A.I. patents.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aman-r-b727976a/", "x_url": "https://twitter.com/araghuvanshi2", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/78d961fa5efd6183e9dfaadaa2a280b48de26f76.jpg" }, { "user_id": 1144997, "full_name": "Emily Dorsey", "title": "Founder", "founder_bio": "I previously worked on the HoloLens at Microsoft. I studied Computer Science and French at Harvey Mudd College, and graduated in 2018. I love reality TV, knitting, and baking. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emdors/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fc168471b772c1d5e3e31ab25be56966a474a04d.jpg" } ], "jobs": [], "news": [ { "title": "Florida’s Prestige Trucking Insurance Acquires Mulligan, an AI Automation Platform", "url": "https://www.insurancejournal.com/news/southeast/2026/04/09/865144.htm", "date": "Apr 09, 2026" } ], "launches": [ { "id": 94819, "title": "Mulligan: End-to-end AI automation platform for insurance brokers", "tagline": "Automate quoting, policy checking, proposals and more by up to 90%", "body": "**TL;DR** Mulligan is an end to end AI automation platform for commercial insurance brokers. Cuts time spent on quoting, policy checking, proposals and more by 90%.\\\nStart for free at [usemulligan.com](http://usemulligan.com)\n\n[Check out our launch video](https://drive.google.com/file/d/13cMUq8gAs5q-ZjXVqoS7SLv7pAC1ljYF/view?usp=sharing)!\n\n# **Intro**\n\nI’m Aman and we’re building Mulligan, the world’s first end-to-end AI automation platform for commercial insurance brokers. It automates Quoting, Policy Comparison, Proposals, Commissions and more. We work with dozens of brokers and have helped all of them scale their businesses without adding more employees.\n\n# **Problem**\n\nSelling and servicing commercial insurance is a complicated process to begin with, and the manual paperwork involved makes it difficult to scale profitably. Brokers have to spend hours reading lengthy documents, navigating ancient portals and formatting documents to fit into their internal systems.\n\nExisting automation tools typically only address narrow workflows and do not integrate with each other, which means that automating a brokerage involves juggling multiple solutions and integrations.\n\nThe end result is that brokerages spend hundreds of hours every week, and billions of dollars annually, on non-revenue generating tasks and outsourcing.\n\n# **Solution**\n\nMulligan assembles submissions, generates quotes from carrier portals, compares quotes and policies, generates proposals and handles commission statements in minutes, without needing your hands-on-keyboard. Here’s what it can do:\n\n### **Quoting**\n\nQuote from one of the largest selections of commercial lines insurance carriers for Commercial Auto, Workers’ Compensation, Business Owners’, General Liability and Trucking policies. Do so with minimal data entry and largely without human intervention. This makes it easy for an agent to get a more complete view of the market, do less data entry and spend more time with their customers.\n\nTo use it, select the carriers to quote, upload any documents that contain relevant data and click “Submit’’. Mulligan then logs into and produces draft quotes in each carrier portal, ready to review, edit and bind.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/6f26d394-1c38-4f97-a17e-99c397e184db)\n\n### **Policy Checking & Comparison**\n\nAnalyze quotes, binders or policies, compare across documents and identify gaps in coverage. Manually analyzing these documents used to take hours, if not days, and can now be done in minutes. This tool can be used to service existing customers, as well as to help close new ones by analyzing their existing policies and identifying areas of improvement.\n\nSimply upload docs, view them side-by-side, chat with them and match them to checklists to identify gaps.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/dbc87031-968d-4c02-8301-d77ee5cd94d3)\n\n### **Proposals**\n\nGenerate beautiful, branded proposals using quotes, policies and binders in minutes. These documents can be produced in Mulligan’s own design format, or using a template provided by the agency. The end result is a document whose style, content and tone showcases the agency’s professionalism and thoroughness.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/f393c554-a4f4-4485-8d9a-9e89bfe6248e)\n\n### **Submissions**\n\nProduce clean, complete and professional submissions to send to underwriters. Upload diverse documents such as loss runs, SOVs, vehicle and driver lists, and produce easily ingestible documents with just a few clicks. These submissions help portray the customer in the best possible light, and get processed by underwriters faster since they are well organized and easy to process.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/66ba3d38-9f05-4ae9-a64f-fccefee61a2c)\n\n### **Commissions**\n\nExtract commissions from lengthy statements and transform them into a format expected by most popular Agency Management Systems such as Applied Epic, AMS360, EZLynx, Veruna and more. Furthermore, review the values in the commission statement to check if there’s an underpayment from the carrier, or to reconcile the books faster.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/218d7bc3-1aa4-45d6-abb8-0ddabd48c31f)\n\n# **How to get started**\n\nIf you are an insurance agent working on commercial lines, or know someone who is, sign up at [usemulligan.com](http://usemulligan.com) for free and get started today. Mulligan has already been deployed across organizations of various sizes, and offers flexible pricing models that fit any budget.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/ac7eae38-9fd9-434a-924d-eadc97472b0c)\n\n", "url": "https://www.ycombinator.com/launches/OfL-mulligan-end-to-end-ai-automation-platform-for-insurance-brokers", "votes": 34, "created_at": "2025-10-22T16:15:47.880Z" } ] }, { "id": 27785, "name": "Pledge Health", "slug": "pledge-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dce31c6ca3dabf16bfd5ee207762b419f47372bd.png", "website": "https://www.pledge.health/", "all_locations": "New York City, NY, USA", "long_description": "Our AI browser assistant automates insurance tasks like verifying benefits, submitting prior auths, checking claim statuses, and more across all payer portals, directly from the clinic's EHR. It does exactly what the admin team is doing today, just helps them do it 10x faster and as thoroughly as a seasoned teammate.", "one_liner": "AI RCM assistant that handles any insurance task on payer portals for…", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1673114409, "tags": [ "SaaS", "Health Tech", "B2B", "Workflow Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "Healthcare", "Healthcare IT" ], "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/pledge-health", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/pledge-health.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pledge-health-inc", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dce31c6ca3dabf16bfd5ee207762b419f47372bd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 820961, "full_name": "Andrew Tang", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andrew-tang-033a6088/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3766177ca06466cd82979e976a35d4e640fe41e3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 69977, "title": "Pledge Health - Automated patient billing for healthcare clinics", "tagline": "We automate cost estimation and billing so clinics get paid by their patients faster", "body": "Hi! We’re Shreya and Andrew, the team behind [Pledge Health](https://www.pledge.health/?utm_source=launch_yc&utm_medium=post&utm_campaign=launch_yc).\n\n**TL;DR** Pledge automates patient billing for independent healthcare clinics. We estimate how much insurance will cover for each visit, so clinics can charge patients at the time of service, rather than waiting weeks for insurance to process.\n\n![uploaded image](/media/?type=post&id=69977&key=user_uploads/632299/dfd59475-c145-471f-966b-d69acf3819ef)\n\n### 🤯  **The Problem**\n\nA larger share of healthcare clinics’ revenue is coming from patients instead of insurance companies, so clinics are trying to charge patients upfront for care. However, the manual process of estimating how much a patient will pay after insurance is error-prone, expensive, and time-consuming.\n\nTake Dr. Emily for example; she **spends more than 20 cents to collect every $1 from a patient**. Despite the high cost and effort, her office is only able to collect 50% of the patient's responsibility at the time of the visit.\n\nThere are over 200k clinic owners like Dr. Emily in the US, **struggling to collect $47 billion in patient payments** every year.\n\n### 💡 **Our Solution**\n\n* Automatically verifies patient insurance benefits ahead of their appointment.\n* Creates personalized out-of-pocket cost estimates by combining the patient’s insurance benefits, the predicted services for the visit, and contracted prices.\n* Communicates the estimated cost and final bills clearly with patients via email and text and allows patients to schedule payments.\n\n![uploaded image](/media/?type=post&id=69977&key=user_uploads/632299/e1fa730d-526f-440b-99b8-53fc81ffa657)\n\n📈 Results with Pledge\n\n* Reduce time spent on collecting patient responsibility by 75%\n* Increase collections by 17%\n* See > 90% patient satisfaction\n\n### 🤠 **Team**\n\nAndrew was a founding engineer at CancerIQ, where he built integrations with electronic health record systems that are crucial to automating billing workflows at Pledge.\n\nShreya was a software engineer at Microsoft, where she worked on healthcare and ML applications.\n\n### 🫶 **Our Ask**\n\nAre you a digital health company or know someone who owns/works at a private healthcare practice that accepts insurance? **Please connect with us at **[**engage@pledge.health**](mailto:engage@pledge.health)**!**\n\n![uploaded image](/media/?type=post&id=69977&key=user_uploads/632299/b78a4d89-22e0-40dd-bed0-1fdd421c39e8)\n\n", "url": "https://www.ycombinator.com/launches/ICf-pledge-health-automated-patient-billing-for-healthcare-clinics", "votes": 299, "created_at": "2023-03-07T05:01:21.102Z" } ] }, { "id": 27811, "name": "Tennr", "slug": "tennr", "former_names": [ "Elegant" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f3807f5ec8c0c63e791201050e45457f0ca05759.png", "website": "https://www.tennr.com", "all_locations": "New York City, NY, USA", "long_description": "Tennr is solving the black hole problem in healthcare by leveraging models to digitize the flow of paperwork between healthcare providers.\r\n--\r\nToday, when you go to your doctor and need to be referred to a specialist (e.g., for sleep apnea), your doctor sends a fax (yes, in 2024, 90% of provider-provider communication is a 1980s fax). These are often converted into 20+ page PDFs, with handwritten (doctor’s handwriting!) notes, in thousands of different formats. The problem is so complex that a person has to read it, type it up, and manually enter your information. Tennr built RaeLM™ (7B—trained on 3M+ documents) to read these docs, talk to your doc to ensure nothing is missed, and text you to help schedule your appointment so you can get better, faster.\r\n", "one_liner": "Fast, Transparent Patient Experiences", "team_size": 205, "industry": "B2B", "subindustry": "B2B", "launched_at": 1676577561, "tags": [ "SaaS", "Workflow Automation", "Healthcare" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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/tennr", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/tennr.json", "year_founded": 2021, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tennrai/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f3807f5ec8c0c63e791201050e45457f0ca05759.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": 970576, "full_name": "Trey Holterman", "title": "Founder", "founder_bio": "Former All-American rower, Computer science major and TA before going to work as a Software engineer at Strava. Left Strava to start a company with my former teammate Diego and former roommate Tyler. \n\nOutside of work, (pre-startup) I did standup whenever I had time ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/trey-holterman-09b904153/", "x_url": "https://twitter.com/TreyHolterman", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/80ccafa5493d518d3c16844b5df737f79d8f9d2c.jpg" }, { "user_id": 1196037, "full_name": "Diego Baugh", "title": "Founder", "founder_bio": "Grew up going to a school with no grades, then to Stanford, where I studied CS and was on the rowing team. Love learning, simple design, and decomposing hard problems (whether they're my own or listening to other people's). Hate to lose.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/diego-baugh/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2918847403e3aafc094cc6ed7ff19b163bc9b8ff.jpg" }, { "user_id": 1204628, "full_name": "Tyler Johnson", "title": "Founder", "founder_bio": "Tyler is the co-founder and CTO at Tennr. He met his co-founders, Trey and Diego, while studying at Stanford, and spent a year working in technical consulting before leaving to work with them. A dedicated midwesterner, he lives in Wisconsin with a lot of dogs!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tyler-johnson-482a42158/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2a66a12abb0fcf7b0a3c895e87b9702a04a38f6a.jpg" } ], "jobs": [ { "id": 64314, "title": "Sales Development Representative", "url": "https://www.ycombinator.com/companies/tennr/jobs/qutajEy-sales-development-representative", "location": "New York City Office", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $90K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 84438, "title": "Senior Product Designer", "url": "https://www.ycombinator.com/companies/tennr/jobs/81hidB8-senior-product-designer", "location": "New York City Office", "type": "Full-time", "role": "Design", "role_type": "Web design", "salary_range": "$180K - $215K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 84439, "title": "Backend Software Engineer", "url": "https://www.ycombinator.com/companies/tennr/jobs/AO9E3OB-backend-software-engineer", "location": "New York City Office", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$170K - 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$250K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Node.js", "PostgreSQL", "React", "TypeScript", "Next.js" ] }, { "id": 84446, "title": "Product Manager", "url": "https://www.ycombinator.com/companies/tennr/jobs/WMjOkbL-product-manager", "location": "New York City Office", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$180K - $220K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92260, "title": "Senior Backend Software Engineer", "url": "https://www.ycombinator.com/companies/tennr/jobs/HPKz7fv-senior-backend-software-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$200K - $220K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "JavaScript", "Node.js", "PostgreSQL", "Python", "TypeScript" ] }, { "id": 96149, "title": "Staff Backend Software Engineer", "url": "https://www.ycombinator.com/companies/tennr/jobs/oG0U77c-staff-backend-software-engineer", "location": "New York City Office", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$230K - $250K", "equity_range": "", "experience": "11+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "JavaScript", "Node.js", "PostgreSQL", "TypeScript", "Distributed Systems", "Software Architecture" ] }, { "id": 96150, "title": "Senior ML Ops Engineer", "url": "https://www.ycombinator.com/companies/tennr/jobs/LfqROTS-senior-ml-ops-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$200K - $220K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "JavaScript", "Node.js", "PostgreSQL", "Python", "TensorFlow", "Torch/PyTorch", "Distributed Systems", "Machine Learning", "Computer Vision", "Evals", "MLOps" ] } ], "news": [ { "title": "Exclusive: Health tech startup Tennr raises $101 million Series C at $605 million valuation to fix the patient referral process | Fortune", "url": "https://fortune.com/2025/06/18/tennr-health-tech-ai-patient-referral-ivp-a16z-lightspeed-iconiq-series-c/", "date": "Jun 18, 2025" }, { "title": "Tennr Raises $37 Million In Series B Round To Power New Growth Push", "url": "https://www.forbes.com/sites/davidprosser/2024/10/22/tennr-raises-37-million-in-series-b-round-to-power-new-growth-push/", "date": "Oct 22, 2024" }, { "title": "How Tennr Plans To Ensure Patients Finally Get To See Their Doctors", "url": "https://www.forbes.com/sites/davidprosser/2024/03/26/how-tennr-plans-to-ensure-patients-finally-get-to-see-their-doctors/?sh=50e7bdea5c16", "date": "Mar 26, 2024" } ], "launches": [] }, { "id": 27817, "name": "loopfour", "slug": "loopfour", "former_names": [ "Loopfour", "JustPaid.io (Loopfour Inc)", "Loopfour Inc", "JustPaid (Loopfour Inc)", "JustPaid", "JustPaid.io", "JustPaid.ai", "JustPaid" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/16284384d06d6162a400238a8b4e998e471fe35b.png", "website": "https://www.loopfour.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "loopfour builds reliable, automated workflows across the tools your business already uses, including NetSuite, QuickBooks, Stripe, and Salesforce.\r\n\r\nNo fragile integrations. No AI hallucinations. Just financial operations that work, every time.\r\n\r\nWe also make JustPaid, our billing automation product.", "one_liner": "Workflow automation, without AI hallucinations.", "team_size": 20, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1676918637, "tags": [ "AI-Enhanced Learning", "Workflow Automation", "Automation", "Operations", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Fintech" ], "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/loopfour", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/loopfour.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/loopfour/", "x_url": "https://twitter.com/getloopfour", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/loopfour", "github_url": "https://github.com/loopfour", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/16284384d06d6162a400238a8b4e998e471fe35b.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": 33968, "full_name": "Daniel Kivatinos", "title": "Founder/CEO", "founder_bio": "loopfour CEO & cofounder.\n\nI’ve worked across multiple startups and raised millions of dollars of venture capital funding over the last several years for my startups.\n\nCofounded DrChrono, acquired in 2021, making DrChrono a top 1% YC exit.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kivatinos/", "x_url": "http://x.com/danielkivatinos", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c5470edad26a70417bbb76253849ec572e80b3e5.jpg" }, { "user_id": 75267, "full_name": "Anelya Grant", "title": "Founder", "founder_bio": "Immigrant founder solving B2B billing", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anelya/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ecb189e5e9b74bb022cae24a7f7314772d105318.jpg" }, { "user_id": 352359, "full_name": "Vinay Datta Pinnaka", "title": "Founder", "founder_bio": "Vinay is a co-founder and founding engineer at Loopfour with over 10 years of experience in building scalable web applications. He scaled the billing system for Drchrono to handle $4B+ worth transactions. Vinay holds a master's degree in Computer Science with a specialization in Human-Computer Interaction. He is responsible for overseeing Loopfour's technology strategy and product development", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vinaydatta2020", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/108dc200c3307f336d46050c343f27319e6ee4eb.jpg" } ], "jobs": [ { "id": 100479, "title": "Social Media Intern", "url": "https://www.ycombinator.com/companies/loopfour/jobs/j8cWw7Z-social-media-intern", "location": "Remote (US)", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$25 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Marketing design" ] } ], "news": [ { "title": "Top 5 AI Workflow Automation Tools for Business Operations in 2026 | The AI Journal", "url": "https://aijourn.com/top-5-ai-workflow-automation-tools-for-business-operations-in-2026/", "date": "Aug 21, 2026" }, { "title": "The startup JustPaid drew inspiration from the sitcom Silicon Valley gag into an AI engineer", "url": "https://www.rdworldonline.com/the-startup-justpaid-drew-inspiration-from-the-sitcom-silicon-valley-gag-into-an-ai-engineer/", "date": "Apr 28, 2026" }, { "title": "Meet the Startup That Used AI and OpenClaw to Automate Its Own Developers", "url": "https://www.wsj.com/tech/ai/meet-the-startup-that-used-ai-and-openclaw-to-automate-its-own-developers-9e733351", "date": "Mar 31, 2026" }, { "title": "JustPaid.ai - Automate your AR/AP, Amplify your Cash Flow", "url": "https://www.venturescout.io/p/justpaid", "date": "Mar 12, 2026" }, { "title": "2026 Tech Predictions: The 17 Shifts that will Actually Matter – Silicon Valleys Journal", "url": "https://siliconvalleysjournal.com/2026/02/03/2026-tech-predictions-the-17-shifts-that-will-actually-matter/", "date": "Feb 03, 2026" } ], "launches": [ { "id": 84140, "title": "JustPaid.ai - Automate accounts receivable with the most powerful platform", "tagline": "Meet JustPaid.ai, the billing platform for complex B2B sales.", "body": "[JustPaid.ai](http://JustPaid.ai) is reimagining B2B accounts receivable workflows, stepping away from rigid legacy CPQs, and entering a new era of finance efficiency, connecting CRO and CFO in one place.\n\nWithin seconds, the platform converts fully executed complex sales contracts into dynamic revenue records (customer names, billing parameters, customer notes) - where the journey of each invoice is timely generated, payments are reconciled automatically, and human-like collections workflows guide the cash gently into your bank account.\n\nHere’s a preview: \n\nJustPaid.ai excels in managing complexity and effortlessly handling consumption, tiered plans, renewals, price discounts, and custom SLAs.\n\nIntegrations to support your workflows with:\n\n* API or CSV usage data upload \n* eSignature (Dropbox, PandaDoc, DocuSign, Box)\n* CRM (SalesForce, HubSpot, [Close.io](http://Close.io), PipeDrive, Attio)\n* ERP (Intuit, NetSuite, Xero, Sage)\n* Sales Tax (Avalara, TaxJar)\n* Payments Checkout (Bank payments and Credit Card)\n\n**JustPaid.ai is positioned to help any growing enterprise.**\n\n**Ready to step into the future and consolidate the tools you are using for billing? Email** [**sales@justpaid.ai**](mailto:sales@justpaid.ai)\n\n_Story on the founders:_\n\nJustPaid.ai is the brainchild of Anelya Grant, Daniel Kivatinos, and Vinay Pinnaka.\n\nAnelya is a two-time female founder with a profound understanding of accounting and finance. She led a top accounting practice for tech startups in Silicon Valley for 15 years.\n\nDaniel is a two-time founder and the co-founder of DrChrono, the first YC healthcare company and one of the YC’s top healthcare exits.\n\nVinay is an exceptional software talent with expertise in ML and AI and years of experience building complex billing architecture.\n\nAccounts Receivable is a massive multibillion-dollar market, with around 12%—15% projected growth over the next few years. With companies focusing on improving cash flow management, JustPaid.ai helps them step into the future and reduce the time spent on billing per month, payment reconciliation, and collections.\n\n![uploaded image](/media/?type=post&id=84140&key=user_uploads/75267/38fbbf8b-8120-4d9b-8817-bba675f4f414)\n\n", "url": "https://www.ycombinator.com/launches/Lt6-justpaid-ai-automate-accounts-receivable-with-the-most-powerful-platform", "votes": 51, "created_at": "2024-09-19T16:02:05.483Z" }, { "id": 69443, "title": "JustPaid.io (Loopfour) - Spend confidently with smart financial tools", "tagline": "Automatically check bills and bank charges against contractual pricing from vendors to ensure there are no billing errors.", "body": "### TL;DR\n\n[JustPaid.io](http://JustPaid.io) is the AI-powered controller you wish you had earlier, so you will never have to worry about overpaying bills again.\n\n### Problem\n\nCompanies' current financial processes are disconnected from what you _agreed_ to pay vs. what you were _actually_ charged, even when your vendor makes a billing error. This is what we’re here to resolve.\n\nOn average, United States businesses lose over $300,000 per year alone from invoice fraud totaling $12B. Don’t be a statistic. \n\nWith expanding teams, a lot of vendor workflows are stuck in Slack and inboxes.  We are automating workflows to successfully manage vendors, including contracts, projected spend, W9/W8BEn collection, payment approval and remittance. \n\n### Solution\n\nSaving thousands of dollars in real-time overview of your usage and billing, [JustPaid.io](http://JustPaid.io) provides a centralized experience to automate and manage vendor relationships, overspending, and more to ensure no matter the stage of your organization, you are always in control.\n\nWe collect data from your contracts all in one dashboard and compare it to both your historical as well as ongoing spend. We work with your existing bill payment solution or you can leverage our multi-approval workflow.\n\n### Backstory\n\nOur backstory is founded on personal experience that is often shared by many in the YC Community:\n\n“_My firm and I were handling all the bookkeeping, accounting and controller functions for over 1,000 startups in the past 10 years. It’s the same issues with the lack of workflow. There is always the same persistent disconnect of management and finance teams. Endless emails between so many stakeholders due to the contract negotiation process with no meaningful control when the bill is due. Additionally, collecting W9/W8BEN forms, and setting up payment accounts.”_ \n\n_- Anelya Grant // Co-CEO_ [_JustPaid.io_](http://JustPaid.io) _(Loopfour)_\n\n_“As a second-time founder, I know it can be a burden to keep a daily eye on spend, yet it is a necessary part of running a successful startup looking into what is owed and what is paid. I wanted to create a tool I wish I had that gave real-time financial insights. Founders and their teams need a copilot providing a usable dashboard to make them certain about cash flow visibility into their company, giving financial insights real-time.”_\n\n_- Daniel Kivatinos // Co-CEO_ [_JustPaid.io_](http://JustPaid.io) _(Loopfour)_\n\n_“I want every founder out there to have accurate financial information at their fingertips so that every employee can feel secure.”_\n\n_- Vinay Pinnaka // Co-Founder and Founding Engineer_ [_JustPaid.io_](http://JustPaid.io) _(Loopfour)_\n\n![](https://lh6.googleusercontent.com/aaAXDhjlpZgFRCKiGdU36ksQkCeDyTb-2lNZJYaYrw3Dcle9U271Z_ic4GI8zI6E-Zz1a8MbEPerpl0I76302PBIhVIZVyyaw-Y2bN7FA3jLrCTkEcu0oeGtFV96yBDco3HngTqTXMuyGGGdzKOKhMs)\n\n### Asks\n\nFrom [_JustPaid.io_](http://JustPaid.io) _(Loopfour)_, YC members and others are able to easily self-onboard, connect bank accounts and provide contracts to jump-start the process of agreed vs. charged bill analysis and manage payments. We’re excited to welcome an early adoption of users to not only alleviate their current headaches but also create an open collaboration of feedback together to better advance our solution to exceed your expectations. We are also providing a 50% discount to all YC Companies.", "url": "https://www.ycombinator.com/launches/I43-justpaid-io-loopfour-spend-confidently-with-smart-financial-tools", "votes": 178, "created_at": "2023-02-20T18:34:57.555Z" } ] }, { "id": 27881, "name": "Inkeep", "slug": "inkeep", "former_names": [ "inkeep" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ca1b5818bf14fe551342345b16c3c399f2ecdf21.png", "website": "https://inkeep.com", "all_locations": "San Francisco, CA, USA", "long_description": "Inkeep is the only agent platform designed to help both developers and non-developers ship Agent-powered assistants and automations.\r\n\r\nCompanies like Anthropic, Midjourney, Clay, PostHog, and Postman deploy Inkeep Agents at scale to help with everything from support to sales.\r\n\r\nHighlights:\r\n- A No-Code Builder and Developer Framework with full 2-way sync\r\n- Unified search and RAG for knowledge bases, docs, and company data\r\n- MCPs and integrations with your apps, APIs, and software\r\n- Intelligent insights and monitoring over how Agents perform\r\n\r\nWith Inkeep Agents, enterprises and high-growth teams empower their employees with AI teammates that help get work done and automate repeatable tasks.\r\n\r\nBacked by Khosla Ventures, Y-Combinator, Great Point Ventures and leading CEOs and founders.", "one_liner": "Build AI Agent teammates and automations in code or no-code", "team_size": 18, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1677660046, "tags": [ "Developer Tools", "Workflow Automation", "Customer Support", "No-code", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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/inkeep", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/inkeep.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/inkeep/", "x_url": "https://twitter.com/inkeep", "fb_url": null, "cb_url": "https://crunchbase.com/organization/inkeep", "github_url": "https://github.com/inkeep", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ca1b5818bf14fe551342345b16c3c399f2ecdf21.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c9c0852fd8b6bce98922c3f075583b77aa63e8d4.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1161446, "full_name": "Nick Gomez", "title": "Founder", "founder_bio": "Nick is co-founder and CEO of Inkeep. He previously led devex for a team at Microsoft, focusing on self-serve developer experiences and no-code builders. He studied Business & Computer Science at MIT. Beyond Inkeep, Nick enjoys photography and hiking.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edwinngomez", "x_url": "https://twitter.com/nickgomez", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/909605b4e584bff4ae903ae08a61d992f8a253b6.jpg" }, { "user_id": 1161457, "full_name": "Robert Tran", "title": "Founder", "founder_bio": "Robert Tran is a cofounder of inkeep. He studied CS & Math at MIT and has an extensive background in tech, including working with government, political organizations, financial firms, and logistics companies. Previously, Robert was an early employee then Head of Engineering at illumis — building software to aggregate thousands of public data sources that are locked in silos. illumis was acquired by ComplySci. Outside of inkeep, Robert is passionate about film & writing.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robert-tran-profile", "x_url": "https://twitter.com/robert_inkeep", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/be2d117ced48c24de80e03ddc3cfb572bfb86714.jpg" } ], "jobs": [], "news": [ { "title": "This Startup Just Raised $13 Million To Make AI Agents Easy For Any Team", "url": "https://www.forbes.com/sites/zoyahasan/2025/09/05/this-startup-just-raised-13-million-to-make-ai-agents-easy-for-any-team/", "date": "Sep 05, 2025" } ], "launches": [ { "id": 85650, "title": "Inkeep - AI support you can trust", "tagline": "All the AI tools you need to scale support - without losing the human touch", "body": "Hi everyone, we’re Nick and Robert - co-founders of [Inkeep](https://inkeep.com/).\n\n### TL;DR\n\nAs founders, we know that fast, quality support helps great products stand out.\n\nInkeep accelerates every step of support with:\n\n🔍 An AI assistant for end-users\n\n🎧 A copilot for support teams\n\n📚 Tools to fix content gaps\n\nInkeep works with any docs or support platform; see our [showcase](https://inkeep.com/showcase?example=anthropic&tab=aiForCustomers) for examples.\n\n![uploaded image](/media/?type=post&id=85650&key=user_uploads/1161446/2fab07e8-72a9-4e56-9fb9-e14f38f411c6)\n\n### Problem: today’s tools focus too much on automation\n\nUsers of modern products expect two things:\n\n(1) great self-serve experiences\n\n(2) fast human help when they need it\n\nAI support solutions often forget about this and end up feeling like a barrier to getting “real” help. \n\n### Solution - AI that builds trust\n\nOur approach is simple: build practical tools for every step of the support process with the end-user as the #1 priority.\n\n**Assistant for users**\n\nInkeep taps into your docs, help center, and other content to provide direct answers to user questions. Our assistant cites its sources, **admits when it doesn’t know**, and hands off to your support channels.\n\n![uploaded image](/media/?type=post&id=85650&key=user_uploads/1161446/66cc6667-df67-4209-baa3-6ea0e6b38fd3)\n\n**Copilot for support teams**\n\nWhen your support team needs to step in, our CX copilot:\n\n✍️ Drafts detailed answers\n\n🔗 Links to relevant docs and past tickets\n\n⚡ Summarizes long tickets \n\n🔔 Suggests to-dos and next steps\n\n[Demo:](https://youtu.be/4_yEpMkdua4)\n\n**Tools to fix content gaps**\n\nThe #1 way to improve support over time is to improve your content (or product).\\\nInkeep helps close that loop with:\n\n1. [AI reports](https://docs.inkeep.com/analytics/reports) that pinpoint and prioritize gaps in your content.\n2. A [Ticket to FAQ](https://go.inkeep.com/ticket-into-faq) tool to create new content from closed tickets.\n\n![uploaded image](/media/?type=post&id=85650&key=user_uploads/1161446/2a81cc6c-821f-4853-8630-a831a5144135)\n\n### **🙏 Our Ask**\n\n* Want to try an AI assistant powered by your content? Get a [self-serve demo](https://inkeep.com/demo?cta_id=yc_launch).\n* Thinking about adding AI to your entire support workflow? [Schedule a call](https://inkeep.com/demo?cta_id=pricing_enterprise_demo_cta).\n\nSocials: [LinkedIn](https://www.linkedin.com/company/inkeep), [𝕏.](https://x.com/inkeep_ai)", "url": "https://www.ycombinator.com/launches/MHS-inkeep-ai-support-you-can-trust", "votes": 22, "created_at": "2024-11-18T15:46:06.140Z" }, { "id": 69837, "title": "Inkeep - Conversational search for your developer product 💬🔍", "tagline": "Help developers do more with your product, faster.", "body": "> tl;dr: [Inkeep](https://www.inkeep.com/?utm_campaign=yc) provides conversational search for developer-focused companies. We use LLMs to understand a company’s docs, GitHub issues, Stack Overflow questions, and more to answer developer questions and increase customer activation.\n\n### **Our Team:**\n\nHi YC, we’re [Robert Tran](https://www.linkedin.com/in/robert-tran-profile/) and [Nick Gomez](https://www.linkedin.com/in/edwinngomez/) from Inkeep!\n\n![uploaded image](/media/?type=post&id=69837&key=user_uploads/1161457/4cbbe838-fb40-4508-89aa-8713f83d7755)\n\nWe met eight years ago at MIT as undergrads. After MIT, Nick was a Senior Product Manager working on developer experiences for Microsoft’s identity products. Robert was Head of Engineering at illlumis (acquired), building large-scale data aggregation pipelines for public datasets.\n\nWith years of experience building developer-focused products, we are excited to build Inkeep.\n\n### **Problem:** Any blocker or unanswered question is a drop-off point\n\nDevelopers evaluate a product by how easy it is to get started and use it for their use case. Optimizing this experience is the #1 goal for many developer-focused companies, but it’s hard to do well because:\n\n* Knowledge about the product is scattered across docs, GitHub issues, Stack Overflow, forums, private communities, and more.\n* Answering technical issues and questions at scale is hard.\n* Developers often prefer to self-troubleshoot.\n\n### **Solution:** Conversational search powered by all your existing content\n\n[Inkeep](https://www.inkeep.com/?utm_campaign=yc) automatically indexes all of a developer tool company’s content with zero effort required. We use fine-tuned LLMs that fully understand your product to power search and chat experiences tailored for developers.\n\nInkeep is embeddable as a:\n\n* Search bar for your docs\n* Chat widget for your app or landing page\n* Slack or Discord bot for your community\n\nYour developers can search or ask anything and get answers immediately. And you’ll be able to get insights on what they're getting stuck on.\n\n![uploaded image](/media/?type=post&id=69837&key=user_uploads/1161457/41100239-1ce3-4e5a-8349-4294e24a237d)\n\n\n### **Our asks:**\n\n* Interested in adding Inkeep to your developer product? We’d love to [show you a demo](https://calendly.com/nickgomez/inkeep-demo-20mins).\n* Connect us with folks who are obsessed with developer experience & activation.\n\nGet in touch at: [founders@inkeep.com](mailto:founders@inkeep.com) \\\nLearn more at: [Inkeep.com](https://www.inkeep.com/?utm_campaign=yc)", "url": "https://www.ycombinator.com/launches/IAP-inkeep-conversational-search-for-your-developer-product", "votes": 167, "created_at": "2023-03-01T20:02:13.615Z" } ] }, { "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": 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": 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": 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": 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": 29270, "name": "Keystroke", "slug": "keystroke", "former_names": [ "Buster" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cf87214e16d20d148922c10192f5ccf83e32f1f8.png", "website": "http://keystroke.ai", "all_locations": "Salt Lake City, UT, USA", "long_description": "Keystroke is an all-in-one platform for building internal agents and workflows. \r\n\r\nIt's built from the ground up with coding agents in mind. Build agents and workflows as TypeScript in your own repo, then deploy them to a web app where your whole team can use them.", "one_liner": "An all-in-one platform for building internal agents & workflows", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1698776495, "tags": [ "Developer Tools", "Generative AI", "Workflow Automation", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/keystroke", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/keystroke.json", "year_founded": 2023, "city": "Salt Lake City", "country": "US", "linkedin_url": "", "x_url": "https://x.com/KeystrokeAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cf87214e16d20d148922c10192f5ccf83e32f1f8.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": 699099, "full_name": "Blake Rouse", "title": "Founder/CEO", "founder_bio": "Blake Rouse is the co-founder and CEO of Keystroke. Previously, he led product development at a bootstrapped analytics startup (DataSpark, acqd by Threecolts). Blake is originally from South Carolina. He studied Product Management and Computer Science at BYU for three years before dropping out to start Keystroke.", "is_active": true, "linkedin_url": "https://linkedin.com/in/cblakerouse", "x_url": "https://twitter.com/cblakerouse", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8852f81710eef3189468f9aeade63952d9babfd1.jpg" }, { "user_id": 830598, "full_name": "Dallin Bentley", "title": "Founder", "founder_bio": "All things AI", "is_active": true, "linkedin_url": "https://linkedin.com/in/dallinbentley", "x_url": "https://twitter.com/dalbentley", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/243363943a7a9ccbaf8b4ae87b177729e40dbbc0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 105225, "title": "Keystroke - open sourcing our internal agents & automations platform", "tagline": "An all-in-one platform for building internal agents & workflows.", "body": "**_tl;dr:_** Keystroke is an all-in-one platform for building internal agents and workflows. It's built from the ground up with coding agents in mind. Build agents and workflows as TypeScript in your own repo, then deploy them to a web app where your whole team can use them.\n\nTry it free: \\\nGitHub: \n\n### why we built keystroke (our pivot story)\n\nHey everyone, we’re [Blake](https://x.com/cblakerouse) and [Dallin](https://x.com/dalbentley) from [Keystroke](https://keystroke.ai/home). Keystroke is a recent pivot from Buster, our original YC W24 idea.\n\n![uploaded image](/media/?type=post&id=105225&key=user_uploads/699099/e5ee8874-7b36-45d5-b9cd-f0f96cd14846)\n\nAt Buster, we spent a lot of time building internal agents and automations. We used visual platforms like n8n and Gumloop, as well as code-first tools like Trigger.dev, Mastra, and several of Vercel’s open frameworks. We genuinely liked many of them, but kept encountering two different problems:\n\n1. Visual tools gave us integrations, credentials, hosting, and an application the rest of the team could use. They were fast initially, but became difficult to maintain as the systems grew. Tests and typechecks were limited, JSON blobs were hard to review, and debugging failures was painful.\n2. Code-first tools gave us ordinary TypeScript, tests, npm packages, and a codebase that coding agents could work with directly. But after building something, we were deploying it to infrastructure rather than an application people could use. We still needed to configure the chat UI, streaming, credentials, integrations, run history, permissions, and sharing ourselves.\n\nSo, we started building the thing we wish existed: a code-first framework that made it stupid easy to build complex agents and AI systems, with a web app for teams to collaborate on top.\n\nWe liked it so much that we decided to pivot away from Buster and focus on building Keystroke full time.\n\n## keystroke rebuilt our W24 idea in 5 minutes\n\nWith Keystroke, I was able to rebuild our original startup’s product (an AI data analyst) in \\~5 minutes.\n\nI pointed Cursor at our old Buster repo and it was able to:\n\n* spin up a local Keystroke project\n* rebuild the OG Buster agent w/ memory, its own file system, etc\n* connect our Postgres DB, PostHog, Metabase, and Slack\n* build skills for using each of the data sources\n* explore our DB and add schema docs to the file system\n* build a workflow to keep schema docs synced\n* name the agent \"Delbert\"\n* then pushed him up to the Keystroke app\n\nSince then, Delbert has been answering ad-hoc questions for me in Slack on a regular bases. He builds me metabase dashboards when I need them. He sets his own triggers, reviews key metrics periodically, and pings me in Slack if anything looks off.\n\n## how keystroke works\n\nIn Keystroke, workflows are ordinary async TypeScript: a ‘for’ loop is an actual ‘for’ loop, inputs use Zod schemas, and everything you build can be tested with Vitest. Our managed runtime makes workflows durable across errors, sleeps, approval steps, and process restarts.\n\nAgents wrap Vercel’s AI SDK and can use workflows, actions, other agents, MCP servers, and integrations as tools. They also include memory, a persistent filesystem, web search, triggers, and optional VM sandboxes.\n\nDeployed agents and workflows instantly appear in the web app with a chat UI, workflow visualizations, input forms, sharing, credential management, integrations, and logs.\n\n**The entire platform was built from the ground of with coding agents in mind**. Your coding agent can use the CLI to scaffold a local directory with a Keystroke project and an [AGENTS.md](http://AGENTS.md). Then, it can build whatever agent or AI system you want, search our docs, run tests, and push what you build up to the Keystroke platform.\n\n## \n\n![uploaded image](/media/?type=post&id=105225&key=user_uploads/699099/d6f73f5f-ba9d-43e4-8c8e-167b770bbe65)\n\n## **our asks**\n\n**Try it:** get started at [keystroke.ai](http://keystroke.ai) with $20 in free credits\n\n**Share feedback:** we’re in open alpha, please tell us what breaks\n\n**Star us on Github:** we’re open source, check out the code on [GitHub](https://github.com/keystrokehq/keystroke)\n\n**Reach out:** want to chat? email us at [team@keystroke.ai](mailto:team@keystroke.ai)", "url": "https://www.ycombinator.com/launches/RNB-keystroke-open-sourcing-our-internal-agents-automations-platform", "votes": 9, "created_at": "2026-07-10T19:26:21.580Z" } ] }, { "id": 29315, "name": "Attunement", "slug": "attunement", "former_names": [ "Attunement.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/167203f3b5d690947159f8db21fd55fc9e145e72.png", "website": "http://attunement.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Attunement extracts, reconciles, and structures behavioral health records from any source, giving operators, clinicians, and AI systems a single, accurate picture of the patient.", "one_liner": "Attunement turns fragmented behavioral health records into structured…", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1706574795, "tags": [ "Workflow Automation", "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "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/attunement", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/attunement.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://twitter.com/attunementai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/167203f3b5d690947159f8db21fd55fc9e145e72.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1271220, "full_name": "Angie Muller", "title": "Founder/CEO", "founder_bio": "Attunement turns fragmented behavioral health records into structured patient data that operators and AI systems can act on.", "is_active": true, "linkedin_url": "https://linkedin.com/in/angiemuller", "x_url": "https://twitter.com/lokosbasilisk", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0fcd73b08035e8f72c501269e8d7d677547355f4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 77939, "title": "⚡Attunement- Patient monitoring and treatment recommendation for better behavioral health", "tagline": "We track your behavioral health and provide mental health providers evidence-based recommendations", "body": "⚡TLDR; At [**Attunement**](https://attunement.ai/), we’re building a patient monitoring and treatment recommendation platform for behavioral health.\n\n![uploaded image](/media/?type=post&id=77939&key=user_uploads/1271220/150865a5-d545-4932-972c-811e317e8875)\n\n**🧠 Current state of tracking if patients are getting better: “I just know.”**\n\nWhen you ask a behavioral health provider how they know whether their patients are getting better, they typically say “I just know.”\n\nExisting tools like the standardized assessment PHQ-9 for depression are not used regularly to measure patient progress, as providers find them to be simplistic and lack context.\n\n**📉 Mental Health Crisis escalating, and we do not know what treatments are working**\n\n1 in 3 Americans suffer from a mental health disorder. Medicaid alone spent approximately $110 billion per year on behavioral health services to address the crisis last year. Without better measurements to track whether the patients are improving, it is challenging to evaluate the impact of these dollars accurately.\n\n**⚡Attunement: Tracking behavioral health to quantify patient outcomes**\n\n[Attunement](https://attunement.ai/) passively tracks the patient’s behavioral health week over week and makes it easy for mental health professionals to update their treatment plans without additional visitations.\n\nOur software platform provides automated patient assessments at regular intervals, incorporating chat-based mental health detection, physiological biomarkers, and self-reported inputs of patients currently in treatment.\n\nAttunement unlocks key recommendations for providers to discuss the results of these assessments with the patient and helps make collaborative decisions about the direction therapeutic modalities will proceed in based on these discussions.\n\n**✅ Our Ask**\n\nWant to access our demo and **track your mental health**? Fill out the form [**here**](https://forms.gle/yZuSFwjP9QXKeiuCA).\n\nKnow any therapist/psychiatrist who would use this product? Email us at [**founders@attunement.ai**](mailto:founders@attunement.ai).\n\nWe’re [**Angie**](https://linkedin.com/in/angiemuller) and [**Briar**](https://linkedin.com/in/briar-smith), and we believe effective mental healthcare can be made easy.", "url": "https://www.ycombinator.com/launches/KH5-attunement-patient-monitoring-and-treatment-recommendation-for-better-behavioral-health", "votes": 131, "created_at": "2024-01-30T18:42:46.826Z" } ] }, { "id": 29363, "name": "Solari AI", "slug": "solari-ai", "former_names": [ "Spare Change", "SpareChange", "Lytix" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2af699b82335feb5991d34bb94bb5e75f4fb1bbf.png", "website": "https://www.usesolari.ai/", "all_locations": "New York City, NY, USA", "long_description": "Solari gives non-technical team members access to agents that work right out of the box. ", "one_liner": "Gives non-technical team members agents that work right out of the box", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1710554488, "tags": [ "Workflow Automation", "Team Collaboration", "Chatbots", "No-code", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/solari-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/solari-ai.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/solari-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2af699b82335feb5991d34bb94bb5e75f4fb1bbf.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/41c97a72877a9ae286b1cfa1b3fceb283c3ebb3b.png" ], "primary_partner": null, "founders": [ { "user_id": 547106, "full_name": "Sahil Sinha", "title": "Founder/CEO", "founder_bio": "Grew up between India and the UK.\nClaremont McKenna College '20. \nIntuit Rotational PM Program '20-'22\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/sssinha20", "x_url": "https://x.com/Sahils2nd", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/42699344de829a561a8bb842048f86df6eb257f4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83820, "title": "Lytix - A single solution for the full lifecycle of LLM applications", "tagline": "Lytix is one control panel to observe, manage and optimize your E2E LLM stack.", "body": "**TL;DR: Lytix is one control panel to observe, manage and optimize your E2E LLM stack. From early model experimentation to guardrails and specific evaluations, lytix helps teams at any stage save money, move faster, and minimize tech debt.**\n\n⚠️ **The Problem**\n\n1. You want to use and experiment with multiple models, but setting up interfaces per provider/model is painful and slows you down.\n2. As your product gets more specific, tracking performance becomes more challenging as off-the-shelf metrics lack the domain context to evaluate the unique attributes _you_ care about.\n3. You want to protect your inference calls against known failures, but finding + integrating the right guardrails for your use case is time-consuming and confusing.\n4. Simple logging is great, but it gets hard to interpret and find bugs quickly, especially if you have multiple LLM tasks all being logged in a single place.\n\n**⚡ Our Solution**\n\nLytix helps teams of all sizes build faster, save money, and minimize tech debt.\n\n**Single Gateway For All Models & Providers.**\n\n1. Integrate [seamlessly](https://docs.lytix.co/Quickstart/openai-integration) with your existing stack to quickly get started.\n2. Instantly gain access to 25+ models; switching between models becomes a 1-line change.\n3. Our code is open-source, so you can always add more providers and models that are specific to you.\n\n![uploaded image](/media/?type=post&id=83820&key=user_uploads/1639132/3018a6a5-f5e6-494c-9b87-e4c320e89c54)\n\n**Guardrails & Alerts**\n\n1. An intuitive and flexible framework for adding SOTA guardrails to your inference calls, and set up real-time fallback logic\n2. Configure alerts in **seconds**, to instantly get alerted when guardrails fail\n\n![uploaded image](/media/?type=post&id=83820&key=user_uploads/1639132/c5e44af3-d41d-4013-8b1e-98db8c663e46)\n\n**Build Specific Evaluations**\n\n1. Easily build new eval metrics bespoke to _your_ product, factoring specific domain knowledge and context.\n2. Track how your specific evals perform over time, and easily find anomalous sessions or problematic users.\n3. Move beyond ‘feelings’, and start to quantify your results as you experiment with different configurations, model combinations and prompts.\n\n![uploaded image](/media/?type=post&id=83820&key=user_uploads/1639132/9c7e0c81-06d9-4954-9036-466639cefadd)\n\n**Grouping LLM events by task**\n\n1. Instead of a single stream of logs, lytix divides your logs by the task they belong to.\n2. Debug errors faster by viewing them in the right context.\n3. Cut critical metrics (like cost, latency, error rates) by task, to answer questions like ‘what is our most expensive task?’ or “which tasks are failing the most?”\n\n![uploaded image](/media/?type=post&id=83820&key=user_uploads/1639132/767653cb-a38a-4df9-a154-3f981a9246f2)\n\n**Product + LLM Insights**\n\n* Identify themes and patterns in your LLM interactions\n* Export that LLM events, with evals, to product analytic tools (such as Posthog) to combine product and LLM metrics into a single insight (i.e., cut conversation length by prompt).\n\n![uploaded image](/media/?type=post&id=83820&key=user_uploads/1639132/adcfbfeb-5f0b-4560-917c-d8bcfc4c5e76)\n\n**And much more…**\n\n* Bring your own cache: own your data and save money on requests by hosting your own cache\n* Playground to test new or existing events against 25+ models\n* Cost + Token usage tracking\n* Datasets to collect events for fine-tuning\n\n🪩 **The Team**\n\nWe’ve both worked in the tech, and have known each other since high school.\n\nSahil worked as a product manager at Intuit, working on teams all over the world. For QuickBooks international, he launched localized sales tax and “send invoice via WhatsApp” increasing 91d retention, subscription rates, and invoice sends for emerging markets. He also worked on complex machine learning systems, working on matchmaking models for QuickBooks Live.\n\nSid worked at a verity of startups after college working on a breath of tasks from cybersecurity to infrastructure and devops. He was cited as an author on a state of the art cryptography [white-paper](https://eprint.iacr.org/2023/296.pdf) and has helped teams containerize and migrate infrastructure while maintaining 50,000+ active users.\n\nWe are builders at heart and believe that lytix is the future of how to build and scale LLM products.\n\n![uploaded image](/media/?type=post&id=83820&key=user_uploads/1639132/feb330f8-8a93-401b-b5d2-8df9b4bf4afb)\n\n**🚀 Lytix can be used today!**\n\n* [Free to start](http://lab.lytix.co/home/login/) and use up to 100k messages.\n* We love learning about problems, if you have any in the LLM space we’d love to be helpful and [chat](https://book.vimcal.com/p/sahilsinha/30minutes-8347b)!\n* Check out our [open-source](https://github.com/Lytix-Labs/optimodel) work and get 24/7 support on our [Discord](https://discord.com/invite/u2MFEnhmv3)\n* Follow our socials on [LinkedIn](https://www.linkedin.com/company/103001009/) and [X](https://x.com/lytixai)", "url": "https://www.ycombinator.com/launches/Lnw-lytix-a-single-solution-for-the-full-lifecycle-of-llm-applications", "votes": 53, "created_at": "2024-09-06T17:44:22.249Z" }, { "id": 81849, "title": "Lytix - Everything you need to monitor, improve and scale your LLM applications", "tagline": "Scale and iterate on your LLM products, with minimal changes to your code or tech stack. ", "body": "**Everything LLM teams need, to build something your users love. Get started **[**here**](https://www.lytix.co/)**.**\n\n![uploaded image](/media/?type=post&id=81849&key=user_uploads/547106/e9646020-5b9d-4c28-bcf8-6dfa602e31de)\n\n# The Problem ❌\n\nMonitoring and testing LLMs is notoriously challenging. Specifically:\n\n1. **Product insights & monitoring** - how can I see how different customers are using my LLM stack?\n\n > What are users talking to my bot about? What questions are users asking my search system?\n2. **Testing** - I just made a change to my code. How can I confirm it’s making the change I intended? How can I make sure I haven’t introduced unexpected side effects?\n\n > _Will making my bot faster make it less reliable? Will switching LLM providers make our system too slow for our customers_\n3. **E2E analytics** - Product 🤝 LLM metrics. How can I see how changes to my LLM stack are impacting my primary product metrics?\n\n > _I just changed my RAG pipeline, is that improving my conversion rates? Which prompt gives us the best activation rate? What are high vs. low value customers talking to my bot about?_\n4. **Errors** - I’m using 4+ providers across my LLM stack, each with its own logging system and dashboard. How can I quickly view the root cause of my errors and get all the context I need in one place?\n\n**We’ve seen teams waste weeks of dev time building internal tools to solve these problems instead of building what their users want.**\n\n# The Solution 🛠️\n\nLytix brings insights, testing, and E2E analytics to your LLM stack with minimal changes to your existing codebase.\n\n# Product insights 🔎 & monitoring 👀\n\n1. Add a tracer function to any aspect of your LLM stack you’d like monitored\n\n ![uploaded image](/media/?type=post&id=81849&key=user_uploads/547106/dc47d9d9-39f5-47ed-8fd5-035063e4ade4)\n\n2. _\\[Optional\\]_ - in the Lytix dashboard, define some ‘themes’ you’d like Lytix to start tagging your sessions as. For ex. ‘questions about math’\n\n ![uploaded image](/media/?type=post&id=81849&key=user_uploads/547106/c660f875-f0f5-4189-b7c5-408bb2ee4b99)\n\n3. If you do not define an intent - Lytix will auto-tag each session with an intent that best summarizes the session.\n4. You can always explore previous sessions and re-configure your themes to change how they appear in your analytics stack\n\n# E2E analytics 📊 ( for ex. PostHog 🦔)\n\n1. Save your PostHog API key in your Lytix account (under settings)\n2. Whenever Lytix sees a new session, we’ll tag it (with the intents you’ve configured), and import them into Posthog with all the associated metadata\n3. In PostHog, you’ll see a “lytix_event” → this event describes your users’ sessions with your LLM stack. **Bring this into your funnel analysis, retention charts, etc., to include your LLM sessions in your product insights**\n\n ![uploaded image](/media/?type=post&id=81849&key=user_uploads/547106/90a58a3c-03e4-4e81-9ae2-33a8d61eb6ea)\n\n\n# Errors 🚨\n\n1. Wherever you throw an error, use the new Lytix LError class.\n\n ```\n async def backgroundProcess():\n logger = LLogger(\"background-logger\", {\"userId\": '124'})\n logger.info(\"Some process is starting\")\n raise LError(\"An unexpected error\")\n \n ```\n2. Anytime the error is thrown in production, you’ll find all relevant logs and metadata in your Lytix dashboard\n\n ![uploaded image](/media/?type=post&id=81849&key=user_uploads/547106/b4373adc-92ec-487b-bef4-90e3dae98cc0)\n\n\nTo try it out yourself, head over to . You’ll also get 2 founders on deck as analysts to ask any questions about how your customers are using your products 🚀.\n\nAnd get in touch if you:\n\n1. Are about to launch - and would like to chat about best practices\n2. Recently launched - and are thinking about effective analytics and monitoring\n3. Or have a hair-on-fire problem you need to be taken care of!", "url": "https://www.ycombinator.com/launches/LI9-lytix-everything-you-need-to-monitor-improve-and-scale-your-llm-applications", "votes": 172, "created_at": "2024-07-01T15:33:09.746Z" } ] }, { "id": 29376, "name": "Carma", "slug": "carma", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/995749b249373d88528eca173b29dc4d2d8e77da.png", "website": "https://www.joincarma.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Carma is building an AI-native platform that transforms fleet operations from tedious, manual work into effortless, automated workflows.\r\n\r\nWe’re the fastest-growing company in fleet management software. Carma already powers some of the largest fleets in the U.S., saving operations teams thousands of hours by eliminating busywork and keeping vehicles on the road.\r\n\r\nBacked by Soma Capital, Y Combinator, founders of Superhuman, and Tier-1 investors, we are sprinting toward a Series A in 2026.\r\n\r\nWe’re hiring the top 0.1% of engineers who want real ownership and impact—starting Day 1, you’ll build and ship fast to production for enterprise clients. Fleet operations run in real time, so your work is immediately used in the field and gets real customer feedback in hours, not months.", "one_liner": "The AI Operating System For Modern Fleets.", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1701065445, "tags": [ "B2B", "Workflow Automation", "Compliance", "AI", "Automotive" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/carma", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/carma.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/carma-com", "x_url": "https://twitter.com/joincarma", "fb_url": "https://www.facebook.com/joincarmacom", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/995749b249373d88528eca173b29dc4d2d8e77da.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/028e53023cbd8b9785d653859c76f2fc6a0d918c.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1377569, "full_name": "Muhammad Alasgarli", "title": "Founder/CEO", "founder_bio": "Founder & CEO @ Carma. Previously, Muhammad worked in investment banking (M&A/Restructuring) in NYC where he executed mega-cap mergers & acquisitions for publicly traded auto-tech companies, automotive OEMs, Tier 1 suppliers, and related auto service providers. He has worked on over $60B of cumulative transactions for notable corporate clients such as Carvana, Honeywell Transportation Systems, and various stakeholder affiliates of Hertz Rent-A-Car. Graduate of Washington University in St. Louis.", "is_active": true, "linkedin_url": "https://linkedin.com/in/muhammadalasgarli", "x_url": "https://twitter.com/ceocarma", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5dc582818ac2336ab4370f4172b6d39e48dc142.jpg" }, { "user_id": 1654921, "full_name": "Suleyman Alasgarli", "title": "Founder/CRO", "founder_bio": "Founder & Chief Growth Officer @ Carma.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/salasgarli/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a74681914382cb780d6fc790dbea11f2bfee9548.jpg" } ], "jobs": [ { "id": 88420, "title": "Founding Full-Stack Software Engineer (React / Node.js / NestJS / PostgreSQL)", "url": "https://www.ycombinator.com/companies/carma/jobs/YLaym2M-founding-full-stack-software-engineer-react-node-js-nestjs-postgresql", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$175K - $225K", "equity_range": "0.50% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Node.js", "PostgreSQL", "React", "Docker" ] } ], "news": [], "launches": [ { "id": 98918, "title": "Carma: We replaced fleet operations with software.", "tagline": "AI that runs fleet ops end-to-end, unlocking revenue and curbing costs.", "body": "**We scrapped our original model and rebuilt Carma as an AI-native operating system for fleet operations.**\n\nSince then, every metric has compounded.\n\n⸻\n\n**The problem**\n\nFleet maintenance is the #1 cost for companies that run vehicles.\n\nAnd it’s still managed with:\n\n* 15+ disconnected tools\n* spreadsheets\n* phone calls\n\nMillion-dollar decisions happen daily.\n\nMade by people who:\n\n* aren’t automotive experts\n* aren’t incentivized on cost\n\nSo they approve everything.\n\nManagement can’t keep up. The problem requires deep technical context. It gets ignored.\n\nAs fleets grow, complexity snowballs.\n\nThe double-effect is vicious:\n\nVehicle uptime drops while costs spiral.\n\nMargins bleed heavily.\n\n⸻\n\n**Why incumbents fail**\n\nThe incumbent software providers are 30+ year-old leasing companies.\n\nThey make money when fleets replace vehicles more often.\n\nSo real optimization works against them.\n\nTheir software reflects it:\n\n* system of record\n* not system of intelligence\n\n_In reality:_ glorified Google Drive with manual data entry.\n\nNo automation. No decisions. No leverage.\n\n⸻\n\n**What we built**\n\nCarma replaces the entire stack.\n\nOur AI system, Neo, runs fleet operations end-to-end:\n\n* automates all repetitive daily workflows\n* replaces all manual labor\n* replaces all fragmented software\n\nAnd makes optimal decisions:\n\n* verifies pricing\n* selects vendors\n* schedules maintenance\n* audits invoices\n* determines replacement timing\n\nNot when a leasing company wants to sell a new vehicle.\n\nWhen it actually makes economic sense.\n\nEvery service makes Neo smarter.\n\nCustomers don’t add Carma.\n\nThey replace everything with it.\n\n⸻\n\n**Why now**\n\nAI can finally automate judgment, not just data entry.\n\n_Before:_ hire more people or accept inefficiency.\n\n_Now:_ neither.\n\n⸻\n\n**If you’re an investor or operator in this space, email us:**\n\n[muhammad@joincarma.com](mailto:muhammad@joincarma.com) - Muhammad Alasgarli, Founder and CEO\n\n[suleyman@joincarma.com](mailto:suleyman@joincarma.com) - Suleyman Alasgarli, Founder and Chief Growth Officer", "url": "https://www.ycombinator.com/launches/PjS-carma-we-replaced-fleet-operations-with-software", "votes": 4, "created_at": "2026-03-19T20:33:46.461Z" }, { "id": 76596, "title": "🚗Carma – Fleets get top service centers to bid for same-day service", "tagline": "Never overpay or wait weeks for quality vehicle service ever again.", "body": "![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/6e469c63-fd73-4b07-a14c-c16389064f61)\n\n**tl;dr:** Carma saves fleets generates measurable P&L savings on the order of hundreds of thousands to millions of dollars on vehicle repairs and maintenance with same-day service – Carma clients get pushed to the front of the line and don’t have to wait weeks to get vehicles back on the road!\n\n**💰Referral Opportunity:** We’re offering $100 in cash for every vehicle onboarded through a warm referral to a new client. 500 vehicles = $50,000 cash referral bonus. In addition, the referred fleet receives a 25% discount on their Carma subscription fees for their first 12 months.\n\n**🤝 [Join Carma Now](https://www.joincarma.com/)**\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/ff0b49ed-15b5-4336-89fb-fef7553f940a)\n\nWe are also hiring top-caliber full-stack software engineers and account executives – apply [**HERE**](https://www.ycombinator.com/companies/carma/jobs) today.\n\n**👀 [See How Carma Works](https://www.youtube.com/watch?v=Hx7fTYv3GBw)**\n\n**😡The Problem: Fleets HATE getting vehicle repair!**\n\nIt’s a time-draining hassle to get vehicle repair for fleets – a lack of price transparency makes U.S. fleets lose $37 billion each year due to improper or unnecessary vehicle repairs. Based on recent industry statistics, service centers overcharge fleets 85% of the time, leaving fleets overpaying an average of 68% more than what they actually should based on the fair cost of service. The worst part: there’s not much the average fleet management team can do – most fleets rely on minimal spares and don’t have the time to price shop for quotes. 80% of fleet managers don’t know what fair auto repair pricing looks like for non-routine repairs.\n\n**💲The Solution: Carma**\n\nCarma gets fleets prioritized same-day service offers with guaranteed, locked-in pricing. Fleet managers request any service they need through Carma, which we send to our highly rated and vetted local service center Partner Centers, who respond with real-time offers. Fleet can compare multiple same-day service offers in just 60 seconds or less. Carma handles the transaction with zero fees – no marked-up prices or “convenience” charges – you pay the service center’s in-store price or better.\n\nFleets save upwards of 50% when they use Carma vs. the median price for the same service in their zip code. It takes just 30 seconds to add a car to your profile and request service.\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/179a2ad1-4d43-4195-8951-dcba9afe1f1c)\n\n👨‍👩‍👧‍👦**Meet the TEAM**\n\nWe are setting a new standard in automotive service to make pricing transparent and the entire process hassle-free.\n\nCarma was founded by a team of automotive experts with deep technical domain expertise from the most prominent industry leaders, with a combined 120+ years of experience in the automotive service industry:\n\n* [**Muhammad Alasgarli**](https://www.linkedin.com/in/muhammadalasgarli/) **- Co-Founder & CEO.** Previously, Muhammad worked in investment banking (M&A/Restructuring) in NYC where he executed mega-cap mergers & acquisitions for publicly traded auto-tech companies, automotive OEMs, Tier 1 suppliers, and related auto service providers. He has worked on over $60B of cumulative transactions for notable corporate clients such as Carvana, Honeywell Transportation Systems, and various stakeholder affiliates of Hertz Rent-A-Car. Graduate of Washington University in St. Louis.\n* [**Suleyman Alasgarli**](https://www.linkedin.com/in/suleyman-alasgarli-6a54b1147/) **- Co-Founder & Head of Revenue.** Prior to joining Carma, Suleyman led operations for a portfolio of commercial and residential real estate investments and served as Operations Director for a prominent dental care chain, where he managed the entire sales pipeline end-to-end. Suleyman studied biology and chemistry with an emphasis in biomedical science at the University of Missouri - Kansas City.\n* **Alan Kennedy - Vice President of Sales.** Alan spent 36 years at Hunter Engineering Company, most recently as an International Regional Manager for the Asia-Pacific region and previously as a U.S. sales representative for Hunter Engineering’s sales territories in Texas and Oklahoma, specializing in undercar service equipment sales to independent automotive service centers and dealerships, with extensive experience in direct sales to both single-location and large-chain service facilities.\n* [**Doug Felt**](https://www.linkedin.com/in/doug-felt-63a30911/) **- Technical Product Manager and Subject Matter Expert.** Prior to joining Carma, Doug spent 46 years in automotive service: 32 years at Hunter Engineering Company as a Technical Training Manager and Subject Matter Expert, where he managed a portion of Hunter Engineering's training department supplying training to automotive and heavy truck technicians using over 35 satellite training centers nationally; including wheel alignment, balancing, tire changing, brake lathe operation, and counter sales training. Doug also managed training partnerships with Audi/Volkswagen, Bridgestone, Goodyear and a variety of other industry leaders. Before this, Doug spent 7 years as a Shop Manager at Hood’s Automotive and 7 years as a service technician and instructor in the U.S. Air Force.\n\n**💰Our Offer to You**\n\nOur sales process is supercharged by personal introductions, so any fleets whose owners or operational managers who you know or could introduce us to would be **very valuable**.\n\nIf you have a relationship with the C-Suite, owner, operations executive, or anyone else at business that owns cars – anything from HVAC, plumbing, pest control, landscaping, construction, cleaning & restoration, electrical contracting, sanitation, etc. – please give us a three-way intro over text or email (Muhammad, **636.293.5254 or** [**muhammad@joincarma.com**](mailto:muhammad@joincarma.com)):\n\nFor each vehicle onboarded through your warm referral to a new fleet client, we will wire you $100 in cash. 500 vehicles = $50,000 cash referral bonus. In addition, your referred fleet receives a 25% discount on their Carma subscription fees for their first 12 months.\n\n**🙋Open Letter to Fleets**\n\nDear fleets, please give us your feedback if you think anything can be improved in our user interface or user experience so we can deliver the most fluid customer journey possible. No forms, just call or text me (Muhammad, CEO) on my cell and give me direct feedback: (**636.293.5254**). You can also email your feedback to me at [**muhammad@joincarma.com**](mailto:muhammad@joincarma.com) – I read and respond to every user.\n\n**🤝 [Join Carma Now](https://www.joincarma.com/)**\n\n**👀 [See How Carma Works](https://www.youtube.com/watch?v=Hx7fTYv3GBw)**\n\n**Cities where Carma is live now: St. Louis, MO; Kansas City, KC; Oklahoma City, OK; Springfield, MO; Nashville, TN; Dallas, TX; Houston, TX; and Phoenix, AZ.**\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/eafb09ec-394c-4a76-ab81-3edeacbd1ac2)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/fc1d8f92-25f7-4a9e-a501-e581f59076d5)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/57555baa-2c14-41fb-940e-1a9771ad01d4)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/9a324fb6-ede3-47b6-81d4-5da948b9b41e)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/6f335e2a-048c-45be-ae05-4ac410feffe7)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/9b7197ff-318b-4900-b00a-6afbf72ebcc6)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/0867d4e2-2d89-4f03-9e5d-bb52874c16f4)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/077bba8c-e540-4ced-a563-16d0dd271efa)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/d41e738c-53c5-484e-8b13-a325c7758519)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/1ec14d2f-a0ea-430a-be7a-7fc5cb12234b)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/65bb4dd4-32b2-4600-9724-87803ea5f44a)\n\n", "url": "https://www.ycombinator.com/launches/JvQ-carma-fleets-get-top-service-centers-to-bid-for-same-day-service", "votes": 21, "created_at": "2023-12-01T22:39:47.302Z" } ] }, { "id": 29399, "name": "Centauri AI", "slug": "centauri-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2909e97f1b5b60712aa5c9853c288e7c547ac289.png", "website": "https://centauri-ai.tech", "all_locations": "San Francisco, CA, USA", "long_description": "We build coSlash, a management layer for AI coding agents. Our platform enables teams to orchestrate parallel Claude Code and Codex sessions, track project progress, team knowledge, and seamlessly transfer context between developers.\r\n\r\nhttps://coslash.io/\r\n", "one_liner": "Helps teams work effectively with AI coding agents.", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1711328630, "tags": [ "Developer Tools", "Workflow Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/centauri-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/centauri-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/101369147/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/centauri-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2909e97f1b5b60712aa5c9853c288e7c547ac289.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 415692, "full_name": "He Lu", "title": "Founder", "founder_bio": "co-founder and CEO of Centauri AI\nco-founder and CTO of Blue Water Fintech(acquired)\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/he-lu-63666852", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b2bc7c59ce0aed345cef18bcdf1264febbfe271c.jpg" }, { "user_id": 1522478, "full_name": "Milan Shen", "title": "Founder/CPO", "founder_bio": "Milan is co-founder and Chief Product Officer at Centauri AI. Milan has expertise in Data and AI over 10 years with both research and product development. After obtaining a PhD in Statistics from Stanford, she led DS for Pricing and Forecasting powering over 1 million listings at Airbnb. More recently at Meta as a research scientist manager, she led the team to deploy Facebook Ads system’s first privacy-preserving AI solution (approx $0.5B+ yearly incremental revenue).", "is_active": true, "linkedin_url": "https://linkedin.com/in/milan-shen-860b5062", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b11a45260614c613ef647e9e48b369b7ed6dbb98.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 79657, "title": "❇️ Centauri AI - Modernizing ETL for Finance 🏦", "tagline": "Evaluate assets faster and win more deals with our modern data platform", "body": "**TL;DR**: [Centauri AI](https://centauri-ai.tech/) is a modern data platform for institutional investors to process and analyze complex investment asset data, starting with Structured Finance. We help investment teams evaluate assets faster and win more deals by turning 2-3 hours of data extracting, mapping, and analysis work under minutes. [Contact us here](https://centauri-ai.tech/).\n\nCheck out our latest demos here:\n\n* Clean and validate complex loan files effortlessly\n* [Draft a deal memo under 10 minutes](https://www.loom.com/share/387a38a2908543a8a90590c87a2358ba?t=22&sid=733daefd-dd1a-496a-b68d-cc6fc6c234b4)\n* Validate growth numbers from multiple docs\n* Covenant compliance certificate analysis\n\n### [🔥](https://emojiterra.com/fire/) The Problem\n\nThe Structured Finance industry suffers from antiquated technology, particularly in mortgage securitization. Lenders and investors deal with inefficient processes, using emails and Excel files to exchange complex information on mortgage-backed securities and other assets. This requires manual or outdated software for data mapping and transformation, consuming significant time (2-3 hours daily) even for experienced professionals. Similar inefficiencies are present in other Alternative Investment sectors like Private Credit, Private Equity, and Real Estate, where analysts wade through extensive documents for deal analysis and portfolio updates.\n\n### ✨ Our Solution\n\nWe envision bringing a modern ETL and data science platform built natively with AI to this traditional industry. Traders and analysts can centralize, standardize, and gain insights quickly from all the data they handle without wrangling with copy-pasting between numerous PDFs and Excel files. We believe that equipped with the right tools purpose-built for data in structured finance, AI agents can perform on par or better than humans on these mundane tasks.\n\n### [⚙](https://emojiterra.com/fire/)️ How it works\n\n**Extract**\n\nDrop your CSV, PDF, or Excel files into our upload hub. The agent automatically detects the structured tables and indexes unstructured text. Later, these tables are ready for data-cutting and modeling.\n\n**Transform**\n\nOur AI agent is built for data mapping. It identifies and explains data fields in natural language and writes code to map them to the desirable output format. \n\n**Analyze**\n\nOur first-of-its-kind analysis agent is equipped with features designed for ad-hoc exploratory analysis. You can auto-run, rewind, or branch out a generative report at any given time to get more insights easily.\n\n![uploaded image](/media/?type=post&id=79657&key=user_uploads/1522478/a89bdb32-0d3f-452e-9985-e5eafc99bb18)\n\n**Present**\n\nWe support exporting the transformed data and analysis findings as a nice dashboard or customized in your way, such as in well-formatted Excel sheets. More customized-style exporting is on the roadmap!\n\n![uploaded image](/media/?type=post&id=79657&key=user_uploads/1522478/60fba13c-b340-4ac1-8b6b-abe23f589b28)\n\n### Our Team\n\nWe are [He](https://www.linkedin.com/in/he-lu-63666852/), [Milan](https://www.linkedin.com/in/milan-shen-860b5062/), and [James](https://www.linkedin.com/in/jameswu1991/). \n\nHe was the co-founder and CTO of Blue Water Fintech, which generated $18M ARR before being acquired in 2022. He experienced the inefficiency of data processing and analytics tasks firsthand when he managed 5 institutional trading books as a portfolio manager.\n\nAfter obtaining a PhD in Statistics from Stanford, Milan led DS for Pricing and Forecasting, powering over 1 million listings at Airbnb. More recently, at Meta, as a research scientist manager, she led the deployment of Facebook Ads system’s first privacy-preserving AI solution (approx $0.5B+ yearly incremental revenue).\n\nJames is a UC Berkeley Alumni in Computer Science and was a Director of Engineering at Tubi, hired the Platform Eng Team managing a >1500c autoscaling K8s cluster and oversaw costs for a $x0M/year tech budget. He was also Principal Engineer at Minted as a full-stack DevSecOps developer.\n\nTogether, we’re excited to help bring the modern data stack powered by AI to financial firms.\n\n![uploaded image](/media/?type=post&id=79657&key=user_uploads/1522478/136f0f03-3e33-4551-8cce-f80795f5dca9)\n\n### 🙏 Asks\n\n* If you are in the financial industry and processing large amounts of Excel and PDF files is part of your daily life, we would love to hear your product feedback! Please [book a demo here](https://docs.google.com/forms/d/e/1FAIpQLScu7V4vCg8vpWBolMrHT2HgxXujsOyeKt41IG3vqMJteJGMgQ/viewform).\n* If you know any leaders in investment firms such as private credit or private equity, please connect us!\n* If you know any Directors or VPs responsible for trading or managing Whole Loans, Mortgage Backed Securities (MBS), Collateralized Mortgage Obligations (CMO), or Asset Backed Securities (ABS) in any banks or asset management firms, please connect us! Email us at [he.lu@centauri-ai.tech](mailto:he.lu@centauri-ai.tech)", "url": "https://www.ycombinator.com/launches/Kin-centauri-ai-modernizing-etl-for-finance", "votes": 23, "created_at": "2024-03-25T02:43:00.680Z" } ] }, { "id": 29407, "name": "JustAI", "slug": "justai", "former_names": [ "Choice", "Choice AI", "just words", "Just Words" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/166536f94d496e2b50084b3b8edf8b6d9e29040b.png", "website": "https://getjust.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Always-on AI agents for 1-1 personalization at scale", "one_liner": "Agentic Marketing Platform", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1704840202, "tags": [ "Reinforcement Learning", "Workflow Automation", "Personalization", "Marketing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "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": "When we were heading Growth at Twitter, we saw the power of copy changes. **When we tweaked a push notification from “Elon tweeted” to “Elon _just_ tweeted”, we gained 800K additional users.** We never underestimated the power of copy since that day. The company funded it as a big investment in the difficult years when Twitter’s growth was tanking. However, each change would take 3-6 months to pick, test, approve, and ship. We also didn’t know how to use those learnings systematically to prioritize the next copy change. We started building internal tools to automate this and gained 20% additional user growth. We stumbled upon similar problems and “vision docs” at Pinterest. We knew we were staring at money on the table. We quit our jobs to build [just words](https://justwords.ai)." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Today, lifecycle marketing is built on manual effort — copywriters brainstorming variants, data scientists running A/B tests, and marketers trying to make sense of disconnected dashboards. Every campaign is a one-off experiment.\r\n\r\nIn the world we’re building, **AI-marketers** will handle this entire loop — strategy, creation, optimization, and learning — with humans acting as orchestrators, not operators.\r\n\r\n* Campaigns will **self-evolve**: AI agents will detect new opportunities, write and test messages, measure outcomes, and continuously improve.\r\n* Brands will move from **batch campaigns** to **living systems** — always-on, hyper-personalized, cross-channel journeys that adapt in real time.\r\n* Every marketer, no matter their company size, will have access to enterprise-level intelligence — a strategist, a creative, an optimizer, and a data scientist — all in one AI team.\r\n\r\nThe world will shift from “humans using tools” to **humans teaming with AI agents**.\\\r\nAnd in doing so, we’ll make personalization not just scalable, but truly human again — every message relevant, every experience intelligent, every brand empathetic at scale." } ], "url": "https://www.ycombinator.com/companies/justai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/justai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getjustai", "x_url": "https://twitter.com/getjustai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/166536f94d496e2b50084b3b8edf8b6d9e29040b.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/64/1712293254075-oa1quvatg4-d244daa8dd4b243426185eb8f60afd01/97ff172a722b3330829f91f059c8a6fa.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022718Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=9d901f8c8d5a89ffbc8593efcbecbf2e7710642a848ee8af318bba6194c23a5a", "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1381391, "full_name": "Neha Mittal", "title": "Founder/CEO", "founder_bio": "Neha Mittal is the CEO & Co-founder of JustAI. She was the head of product for Retention & Growth at Pinterest and at Twitter. She also co-founded CityStructure and was the founding engineer at Sensorflow. She has also held product & engineering roles at the Chan Zuckerberg Initiative and Goldman Sachs.", "is_active": true, "linkedin_url": "https://linkedin.com/in/neha01mittal", "x_url": "https://twitter.com/neha01mittal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/163592976aa66718aaf2fdbb6a4f09a93ea4efb0.jpg" } ], "jobs": [ { "id": 89154, "title": "Full Stack Software Engineer", "url": "https://www.ycombinator.com/companies/justai/jobs/BmBq81w-full-stack-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $160K", "equity_range": "0.10% - 0.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89155, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/justai/jobs/NOV6eqU-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $350K", "equity_range": "0.10% - 0.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Just Words Gets Funding From Peak XV Partners, Y Combinator", "url": "https://inc42.com/buzz/former-x-executives-startup-just-words-nets-funding-to-automate-personalised-messaging-for-enterprises/", "date": "Aug 27, 2024" }, { "title": "YC’s latest Demo Day shows fascinating wagers on healthcare, chip design, AI and more | TechCrunch", "url": "https://techcrunch.com/2024/04/04/ycs-latest-demo-day-shows-fascinating-wagers-on-healthcare-chip-design-ai-and-more/", "date": "Apr 04, 2024" } ], "launches": [ { "id": 77393, "title": "just words - Scale Hyper-personalized Messaging with AI", "tagline": "Maximize growth velocity with automated message refresh on emails and push.", "body": "**tldr:** We’re building an AI-first marketing tech stack for enterprises. We are on a mission to rethink growth by turning content into conversations. Our core product allows companies to auto-refresh content on growth channels like emails using reinforcement learning, artificial intelligence, and causal inferences. Companies have 10X their speed of experimentation, and have seen stat sig engagement lift with our technology. \n\n```\n❌ the problem\n```\n\n1\\. Traditional A/B testing is slow. It can take 3-6 months to run one test because of organizational decision-making and lack of ML infrastructure. \n\n2\\. Content and copy selection is based on vibes. \n\n3\\. Prioritization of the biggest opportunities is decided by the loudest voice in the room. \n\n```\n✨ our solution\n```\n\n1\\. Enrich CRM with ML powered personalization \n\n2\\. Auto-refresh content on the fly. Auto-tune underperforming content with newly generated dynamic content in real time\n\n3\\. Use insights from infinite testing to predict the next best action.\n\n![uploaded image](/media/?type=post&id=77393&key=user_uploads/1381391/30b40cc4-6a73-4e12-9a09-5cbba4930fb3)\n\n```\n🙏 asks\n```\n\n1\\. Check out [justwords.ai](http://justwords.ai) and book a demo for your use case (email, sms, push, landing page titles).\n\n2\\. Connect us to your growth & marketing teams. Book a [30 min slot](https://calendly.com/just-words) with us or drop us an email at [founders@justwords.ai.](mailto:founders@justwords.ai)", "url": "https://www.ycombinator.com/launches/K8H-just-words-scale-hyper-personalized-messaging-with-ai", "votes": 70, "created_at": "2024-01-10T20:48:09.601Z" } ] }, { "id": 29417, "name": "Brainbase Labs", "slug": "brainbase-labs", "former_names": [ "Brainbase" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/55b9b557f3faec62dfe5b2755730337e32975f4b.png", "website": "https://brainbaselabs.com", "all_locations": "San Francisco, CA, USA", "long_description": "Brainbase Labs is an applied AI research lab enabling AI in the workforce by building high-fidelity agent environments and tooling.\r\n\r\n", "one_liner": "The AI Labor Company", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1707350817, "tags": [ "Generative AI", "SaaS", "B2B", "Workflow Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/brainbase-labs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/brainbase-labs.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/usebrainbase", "x_url": "https://twitter.com/BrainbaseHQ", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/55b9b557f3faec62dfe5b2755730337e32975f4b.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": 672893, "full_name": "Gokhan Egri", "title": "Founder", "founder_bio": "Freeing up your company's workforce by automating repetitive data tasks at Brainbase (W24).\n\nPreviously Co-founder and CEO at Leo (AI grader), Harvard CS PhD (dropped-out).", "is_active": true, "linkedin_url": "https://linkedin.com/in/gokhan-egri", "x_url": "https://twitter.com/gokhan_egri", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dd0160ff4f1dd1d88ffb9130e7786d0e31237074.jpg" } ], "jobs": [ { "id": 66129, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/brainbase-labs/jobs/aslqKqO-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$125K - $250K", "equity_range": "0.80% - 2.40%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Node.js", "Python", "React", "TypeScript", "Next.js" ] }, { "id": 92242, "title": "Founding Growth", "url": "https://www.ycombinator.com/companies/brainbase-labs/jobs/XUPFMWx-founding-growth", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $160K", "equity_range": "0.20% - 0.80%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 80202, "title": "Brainbase - Build your own AI workforce", "tagline": "Build enterprise-grade AI workers for your business", "body": "### TLDR\n\n_Brainbase is to AI workers what Retool is to internal tools._\n\nVery soon every company will need to have an AI workforce working alongside their human team. Brainbase is the only platform that lets your business create its own enterprise-grade AI workers. Everyone from government agencies to SMBs is choosing us to create workers that do everything from outbound sales calls to customer support.\n\nIf your company already has workflows that you want to automate or just want to explore our 100+ templates, [**schedule a demo**](https://calendly.com/usebrainbase/demo) or [**get on our waitlist**](https://docs.google.com/forms/d/e/1FAIpQLSdOpDWM6faDDH8vkDhBYVFij6kGqeK5NQZmRkOiXU8q-s149w/viewform)!\n\n![uploaded image](/media/?type=post&id=80202&key=user_uploads/89898/eab30f63-2964-4b23-a44a-9b4d731b2629)\n\n### Intro\n\nHey, [Gokhan](https://www.linkedin.com/in/gokhan-egri/) here! I dropped out of my Machine Learning PhD at Harvard to build Brainbase. **So far, it’s been the best choice ever!** Previously I started another AI company and built over 15 apps that got more than 50K downloads.\n\n### Problem\n\nMost business workflows are very repetitive with easily automatable tasks, yet they cost the average business **70% of their workforce** every year. That’s **every 2 out of 3 hires** doing repetitive work day in and day out 🤯\n\nWhen businesses try to automate these workflows using one of the hundreds of AI automation tools out there, they quickly see that these tools are either **unreliable, difficult to set up** or **simply not powerful enough for business tasks.**\n\n### Solution\n\nAt [Brainbase](https://www.loom.com/share/d6b05fe8d5a4455f983e92c919998cdd?sid=7b2f0f3f-e38c-4cff-9970-b932b9d787af) we let you build industry-grade AI workers that are _designed_ to handle complex enterprise workflows unique to your business.\n\nUnlike our competitors, Brainbase’s workers are:\n\n* **Unique to your business:** No two employees at two different companies are the exact same. We let you build unique workers for your business’s unique requirements\n* **24/7:** Our workers work non-stop so they can delight your customers continuously\n* **10x cheaper:** Our AI workers are 1/10th the cost of hiring another employee, with the same performance\n* **Easy to set up:** Start in less than a day with one of our 100+ templates for the most common Sales, HR, and customer support workers\n* **Easier to customize:** We built the best tools — code and no code — to build your workers to your business’s exact needs\n\nSo far, our customers have built:\n\n* **Government call centers** responding to 100s of calls a day\n* **Resume reviewers** that review 1000s of documents in minutes\n* **Automated support reps** that respond to customer requests in seconds\n* and more…\n\nStart with one of our [100+ templates](https://docs.google.com/forms/d/e/1FAIpQLSdOpDWM6faDDH8vkDhBYVFij6kGqeK5NQZmRkOiXU8q-s149w/viewform) for end-to-end Sales, HR, or Customer Support workers, invite your team, customize to perfection, and start seeing results in less than a week.\n\n### ASK\n\n1. **Is your business currently hiring for a non-technical position? Let’s see if you can get away with an AI worker instead!** [Schedule a demo](https://calendly.com/usebrainbase/demo) to see what’s possible with Brainbase.\n2. **Do you have ideas for business workflows you want automated?** Reach out to [gokhan@usebrainbase.xyz](mailto:gokhan@usebrainbase.xyz), I’d love to have a chat!\n3. **Like, share, and tell your friends!:** It would mean a lot!\n\n❤️ _Thank you for taking the time to read through this. We’d love to hear your thoughts about what we’re building._\n\nBonus: [Check out](https://www.loom.com/share/b1fed8a9666647faa6128989a1e263a0?sid=093045e2-f598-449b-938a-4ce7bf130a1a) how we spun up a worker to handle OpenAI’s entire Slack support system from scratch in **less than 5 minutes**.", "url": "https://www.ycombinator.com/launches/Kra-brainbase-build-your-own-ai-workforce", "votes": 31, "created_at": "2024-04-15T23:52:39.137Z" } ] }, { "id": 29455, "name": "CommodityAI", "slug": "commodityai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/933c7f548a28cf3c29ce287133e7a5c8f9b0ca0c.png", "website": "https://commodityai.io/", "all_locations": "San Francisco, CA, USA", "long_description": "CommodityAI builds intelligent automation agents for some of the most operationally complex businesses in the world: physical commodity traders.\r\n\r\nIn trading operations, critical data is often buried in spreadsheets, emails, PDFs, and legacy systems — making workflows slow, error-prone, and overly manual. CommodityAI acts as a digital operator, continuously reading, interpreting, and updating information across the trade lifecycle to keep records accurate and systems in sync.\r\n\r\nOur agents extract and validate key details from trade confirmations, contracts, vessel updates, and more — turning scattered, unstructured data into clean, structured records that flow directly into CTRMs, ERPs, and other core platforms. No manual entry required.\r\n\r\nBy automating what others still do by hand, we help trading teams move faster, reduce risk, and focus on the decisions that matter most.", "one_liner": "The AI operating system for commodity operations", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1710175582, "tags": [ "B2B", "Workflow Automation", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "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/commodityai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/commodityai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/commodityai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/933c7f548a28cf3c29ce287133e7a5c8f9b0ca0c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1080598, "full_name": "Philip Koenig", "title": "Founder/CEO", "founder_bio": "CEO & Co-founder at CommodityAI", "is_active": true, "linkedin_url": "https://linkedin.com/in/philipkoenig", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3cfade36a66c9ca1104d7deb32c95e33f013bb51.jpg" }, { "user_id": 1800705, "full_name": "Daniel Cervoni", "title": "Founder", "founder_bio": "Head of Engineering & Co-Founder at CommodityAI", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dcervoni/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ac13b2059b7d0b600f64661856a8828b4277e8ea.jpg" }, { "user_id": 1534677, "full_name": "Kyle Franz", "title": "Founder/CTO", "founder_bio": "CTO & Co-Founder at CommodityAI", "is_active": true, "linkedin_url": "https://linkedin.com/in/kyle-manuel-franz-7a4351a8", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c9dd6b8ec50f1f2a35014a57c57bc54bf85b55f9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 79344, "title": "CommodityAI — The shipment management platform for commodity traders", "tagline": "Meet CommodityAI, the easiest way for commodity traders to manage shipments", "body": "Hi everyone! We’re [Philip](https://linkedin.com/in/philipkoenig), [Kyle](https://linkedin.com/in/kyle-manuel-franz-7a4351a8), and [Daniel](https://www.linkedin.com/in/dcervoni/) from [CommodityAI](https://commodityai.io/). We are building a platform for commodity traders to manage their shipments.\n\n**tl;dr** CommodityAI makes it easy for commodity trading companies to manage their shipments. One of the largest sugar traders uses our product to classify over a million documents, extract relevant fields from them, and organize them by shipment. They also use us to execute shipment-related workflows, like sending shipment status updates and generating vessel nominations.\n\n# **The Problem**\n\nShipping commodities requires a company to manage \\~200 processes and over 50 documents. Now imagine you're managing thousands of shipments a month, and tens of thousands in a year. As a result, a trading company’s workforce spends \\~70% of their day on admin and 40% of operating costs are allocated to labor. Almost all of our customer calls have had one thing in common: the trader or operations person can recall a time in the past 6 months when a document or process error resulted in the firm losing hundreds of thousands of dollars.\n\nThese processes also differ between customers. In other words, no 2 customers run their commodity trading operations the exact same way. This makes it difficult to build a one-size-fits-all solution without being intimately familiar with the space and the nuances of these shipments.\n\n# **The Solution**\n\nWe’ve built AI, automation, and collaborative tools built specifically for commodities trading. Our customers use CommodityAI to manage thousands of shipments and process millions of shipment-related documents. This includes classifying them, extracting relevant fields, and organizing them. They also use our platform to automate a series of time-consuming, related tasks that they do in their day-to-day, such as tracking vessels, generating vessel nominations, and sending real-time updates to their counterparty.\n\n**Document Processing Workflow: Classify, Extract data, create shipment**\n\n![uploaded image](/media/?type=post&id=79344&key=user_uploads/1800705/47492cb6-5514-42b8-97ea-03ad19cad07e)\n\n**Track and Send Shipment Status Updates**\n\n![uploaded image](/media/?type=post&id=79344&key=user_uploads/1800705/524a9171-3d63-42a0-8a14-d5360ecda593)\n\nOur goal is to ultimately take the number of manual processes within a commodities shipment down to 0, transforming the way commodity trading companies manage their operations.\n\n# **Ask**\n\nWe know there aren’t too many commodity trading companies probably checking YC every day, but we do know many founders worked as traders or know traders from previous work experience! We’d be extremely grateful for any introductions to potential customers or investors =).", "url": "https://www.ycombinator.com/launches/Kdk-commodityai-the-shipment-management-platform-for-commodity-traders", "votes": 85, "created_at": "2024-03-13T01:53:54.452Z" } ] }, { "id": 29478, "name": "Reform", "slug": "reform", "former_names": [ "Knowstory" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d1dc8f5914cad7c44e1fba45da40ae265dd9bfe2.png", "website": "https://www.reformhq.com", "all_locations": "San Francisco, CA, USA", "long_description": "At Reform, we’re building a platform for building and managing AI agents that perform high-stakes operational work. Some of the most critical industries today run on outdated systems, spreadsheets, and manual processes - creating friction across every handoff, contract, and invoice. We’re rebuilding this infrastructure from the ground up.", "one_liner": "AI Agents for high-stakes work.", "team_size": 13, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1706556384, "tags": [ "Workflow Automation", "Compliance", "Logistics", "Supply Chain", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "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/reform", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/reform.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/reformhq", "x_url": "https://twitter.com/reform_hq", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/reform-4e31", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d1dc8f5914cad7c44e1fba45da40ae265dd9bfe2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1362655, "full_name": "Omar Abuhashish", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Reform. BS in CS and mechanical & aerospace engineering from NYU. Prior to Reform, worked on new products at CoinTracker (YC W18) and was engineer #1 at Altan Insights.", "is_active": true, "linkedin_url": "https://linkedin.com/in/omarabuhashish", "x_url": "https://twitter.com/abuhasho", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d720a82e6e916e98e46d15d6a69bd2b2542a76f6.jpg" }, { "user_id": 1379039, "full_name": "Pradhit Gosula", "title": "Founder", "founder_bio": "Co-founder and CTO of Reform \n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/pradhit-gosula-27a955149", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/45d56244b85283bd6488430e8f09715e11101cd9.jpg" } ], "jobs": [ { "id": 82937, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/reform/jobs/0GwlJHw-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$125K - $175K", "equity_range": "0.30% - 0.70%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 84524, "title": "Recruiting Lead", "url": "https://www.ycombinator.com/companies/reform/jobs/ei44CKT-recruiting-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "$125K - $175K", "equity_range": "0.20% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 84525, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/reform/jobs/vWBAFlT-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $200K", "equity_range": "0.30% - 0.70%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 95231, "title": "Forward Deployed Engineer — Spanish Speaking", "url": "https://www.ycombinator.com/companies/reform/jobs/EfKLPPO-forward-deployed-engineer-spanish-speaking", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$125K - $175K", "equity_range": "0.30% - 0.70%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 108324, "title": "Licensed Customs Broker", "url": "https://www.ycombinator.com/companies/reform/jobs/b05roZC-licensed-customs-broker", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$120K - $170K", "equity_range": "0.10% - 0.40%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 79036, "title": "Reform: The fastest way to build modern logistics software", "tagline": "Development tools for logistics engineering teams", "body": "👋 Hello world! It’s [Saif](https://www.linkedin.com/in/saifabuhashish/), [Omar](https://www.linkedin.com/in/omarabuhashish/), and [Pradhit](https://www.linkedin.com/in/pradhit/) here to introduce you to [Reform](https://www.reformhq.com/)!\n\n🤓 **TL;DR**\n\nReform is the easiest way for dev teams to build modern logistics software fast. Logistics service providers use our pre-built components and APIs to build software that can automate tasks such as quoting, shipment creation, and customs clearance filing. \n\nOne of the largest freight forwarders in Latin America is using Reform to automate shipment creation and invoice processing.\n\n\\\n**❌ Problem**\n\nLogistics service providers rely on dated, archaic ERP and transportation management systems (TMS) to manage their operations. These systems are rigid, closed, and opinionated. Oftentimes, they require customization, and hence, the need for logistics service providers to hire development agencies to build bespoke customizations and internal tools on top of these systems to make them easier to work with. \n\nAn alternative these companies resort to is to build an internal system from scratch to fit their business needs. However, such an undertaking is long, costly, and is oftentimes a distraction from their core business.\n\n\\\n**⚒️ Solution**\n\n**Reform is the sweet spot between buying a generic off-the-shelf TMS and building one in-house**. Our APIs and pre-built components allow logistics service providers to build the modern transportation management system they need - faster, better, and without the maintenance overhead.\\\n\\\nOur first product is an AI-powered API suite that allows logistics service providers to build custom automations for mundane tasks related to their TMS. \\\n\\\nOur APIs are used to power automation use cases including:\n\n🚢 Shipment and quote creation\n\n👮 Customs clearance filing\n\n🏭 Warehouse order intake\n\n🧾 Invoice reconciliation\n\n\\\n⚙️ **How it works**\n\n**Eliminate manual document analysis:** Our customizable AI-powered data extraction API, purpose-built for the logistics industry, allows you to extract data with high accuracy from incoming emails and documents including commercial invoices, BOLs, packing lists, and more.\n\n![uploaded image](/media/?type=post&id=79036&key=user_uploads/1369382/b3cfab82-392b-4fee-853c-1adaed324808)\n\n\\\n**Integrate with any TMS**: Our Universal API allows you to plug extracted data into any system without the burden of building and maintaining integrations.\n\n![uploaded image](/media/?type=post&id=79036&key=user_uploads/1369382/259bb079-8490-4260-b8b8-fc598221c91b)\n\n**Build beautiful interfaces:** Our headless UI components allow you to embed our APIs directly in your products and customer-facing dashboards.\n\n![uploaded image](/media/?type=post&id=79036&key=user_uploads/1369382/1200b04a-798a-44ea-8de9-0bbe694a316c)\n\n**Meet The Team**\n\n![uploaded image](/media/?type=post&id=79036&key=user_uploads/1369382/28bdbda5-b565-4a50-8d9d-919bed1cac4f)\n\nSaif and Omar are brothers, born and raised in Jordan, before moving to the US to pursue a career in technology. Saif built warehouse robotics at Amazon, conversational AI at Capital One, and category-defining SaaS at Drift. Omar was a founding engineer at Altan Insights, followed by building 0 → 1 products at CoinTracker (YC W18). Omar was also Pradhit’s favorite co-worker at CoinTracker, where together, they led the new products team. Before that, Pradhit was at Microsoft where he built data pipelines to process petabytes of telemetry data.\\\n\\\n🙏 **Asks**\n\n* If you know any freight forwarders, 3PLs, or logistics software providers that might be interested in Reform, send them our way!\n* Think we can help, have questions or feedback? [Book a call](https://calendly.com/omar-abuhashish/20-min) or reach out to us at [founders@reformhq.com](mailto:founders@reformhq.com)!", "url": "https://www.ycombinator.com/launches/KYm-reform-the-fastest-way-to-build-modern-logistics-software", "votes": 62, "created_at": "2024-03-04T20:39:40.112Z" } ] }, { "id": 29505, "name": "Tower", "slug": "tower", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/71c566f418e6fe3b2b2aa396c65f6feec1bfc40f.png", "website": "https://withtower.com", "all_locations": "Toronto, ON, Canada", "long_description": "Tower accelerates transactional due diligence via an AI-powered, centralized diligence platform. By consolidating disparate diligence workflows, Tower helps deal teams stay organized, spot issues earlier, and close deals faster.", "one_liner": "M&A due diligence platform powered by AI", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1715707959, "tags": [ "Workflow Automation", "Legal", "LegalTech", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "Canada", "America / Canada" ], "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": "Both Adam and I both have strong conviction that legal services ought to be more accessible. We believe the current system is broken on both sides of the marketplace. Lawyers are bogged down by a variety of tasks which can and should be automated while their clients are encumbered with large legal costs arising from said tasks. We strongly view legal access as the core recipe for a functional and equitable society and believe that technology has a large role to play in getting us there. We interviewed hundreds of lawyers and found that there are many salient pain points being experienced by in-house legal teams which we’re well-equipped to solve given our in-depth backgrounds in software engineering and AI research." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "When Tower truly succeeds, all lawyers will be able to focus on tasks which they attended law school for, such as advising their clients and applying their nuance to strategic matters. They will no longer have to waste their day performing low-value-add tasks such as searching through precedents or handling admin work. Clients, from the largest corporations down to the individual, will have access to quality legal services at affordable costs as legal professionals are freed from the tyranny of mundane work." } ], "url": "https://www.ycombinator.com/companies/tower", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/tower.json", "year_founded": 2024, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/tower-software-labs/", "x_url": "https://twitter.com/trytower/", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/tower-aab5", "github_url": "https://github.com/tower-software-labs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/71c566f418e6fe3b2b2aa396c65f6feec1bfc40f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/be9b737d3bdcb8f10bd2e971cb0dd384d1cf1fb5.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1450770, "full_name": "Adam Dorfman", "title": "Founder/CEO", "founder_bio": "I am the co-founder & CEO of Tower; we're building an AI platform for legal due diligence. Previously I was an early engineer at Float (corporate card for Canada), built software for speaker & microphone manufacturing at Apple, built AI software & performed AI computer-vision research at DarwinAI (acq. Apple). I studied Mathematical Physics at the University of Waterloo, where I co-oped in data-science/ML and software engineering.", "is_active": true, "linkedin_url": "https://linkedin.com/in/adam-dorfman", "x_url": "https://twitter.com/headcaffeinator", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2d3ee3b0806e318dcc142069fe61dae8aec6c98d.jpg" }, { "user_id": 1791443, "full_name": "Andy Zhang", "title": "Founder", "founder_bio": "Co-founder and CTO @ Tower; we're building helpful software so M&A folks can leave work at 5PM everyday. Before Tower I was the founding engineer of ArenaX Labs, a Web3 AI Gaming startup, where I helped the company from inception and zero users to Series A and a community of hundreds of thousands. Before this I did research at an investment trust, specializing in reinforcement learning and cool assets like crypto. I graduated from UWaterloo BCS and Laurier BBA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andy-z/", "x_url": "https://twitter.com/UnholyCucumber", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/915ef170f6842e04259bbbae58d56db29a65c54b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101268, "title": "Tower - collaborative AI for due diligence", "tagline": "We help deal teams collect the right disclosures faster and automate review.", "body": "Hi YC,\n\nWe’re Adam, Andy, and Noah - co-founders of Tower ([withtower.com](https://www.withtower.com/?utm_source=ycombinator&utm_medium=referral&utm_campaign=yclaunch&utm_content=launch_page))\n\n## TL;DR\n\nTower is a collaborative AI diligence workspace. We take your DD checklist and messy data room, organize it, flag what’s missing, and let your team query everything with AI - so you spend time on analysis, not chasing information.\n\nWe’re live with AmLaw 50 and Chambers Band 1 law firms, top serial acquirers, and leading commercial real estate diligence teams.\n\n\n\n## The Problem\n\nThe hardest part of diligence isn’t reviewing documents - it’s collecting the right information. \n\nDeal teams have no dedicated system for collecting and verifying that disclosures are complete before analysis begins. Instead, they rely on multiple VDRs, Excel trackers, email threads, and one-off AI prompts to figure out what’s been received, what’s missing, and what matters. That process of chasing and structuring information is iterative, time-consuming, and kills deal momentum. \n\nMost AI tools help teams review documents faster. But you can’t review what you don’t have, and you can’t assess risk in documents you don’t know are missing. \n\n## The Solution\n\nTower is the workspace that takes deal teams from first disclosure to answers faster - by fixing collection first, then accelerating review.\n\n**1. Automatically organized data room:** Upload anything, get a fully indexed deal room in minutes. Click any diligence request and see the exact files behind it.\n\n![uploaded image](/media/?type=post&id=101268&key=user_uploads/1450770/0ac92ee3-6a92-4b0f-8d35-176aa978f693)\n\n**2. Catch red flags and missing files up front:** Missing amendments, unsigned agreements, stale financials, and expired contracts are flagged within seconds of upload, before anyone wastes review time.\n\n![uploaded image](/media/?type=post&id=101268&key=user_uploads/1450770/0e556183-5997-4b8f-b5a1-72fbd4b38bca)\n\n**3. AI document review:** Extract covenants, financial definitions, change-of-control triggers, and rep language across hundreds of documents in one pass. Every answer cited to source.\n\n![uploaded image](/media/?type=post&id=101268&key=user_uploads/1450770/36914b9b-402a-4ce1-b78e-b1b3bd0341ab)\n\n**4. Smart diligence Q&A:** Every request, every responder, every status, in one live system, synced with the data room. No more \"what's the latest tracker?\" email threads.\n\n## The Backstory\n\nOur team spent years on the wrong end of messy data rooms - burning weeks organizing and chasing disclosures before real review could begin. We watched deals stall and sour because of it. Tower is the system we wished we had on every one of those deals. \n\nNoah is a former M&A and tech lawyer at Dentons, where he co-led the AI industry practice and advised top Canadian startups. Andy was an ML quant at a $27B pension fund and founding engineer at NRN Agents. Adam was an early engineer at one of Canada's fastest-growing fintechs, and worked on data science in manufacturing at Apple.\n\n## Our ask\n\n* Warm intros to M&A partners at AmLaw 200 firms, corp dev leads at PE/strategics, and CRE acquisitions teams.\n* Working on a deal? Book a demo with us.\n\nLearn more at [withtower.com](https://www.withtower.com/?utm_source=ycombinator&utm_medium=referral&utm_campaign=yclaunch&utm_content=launch_page), or reach us directly at [founders@withtower.com](mailto:founders@withtower.com)\n\n![uploaded image](/media/?type=post&id=101268&key=user_uploads/1450770/5afe8369-4d10-42cd-bc56-ccc6b999a6d8)\n\n", "url": "https://www.ycombinator.com/launches/QLM-tower-collaborative-ai-for-due-diligence", "votes": 18, "created_at": "2026-05-13T01:11:54.537Z" } ] }, { "id": 29651, "name": "FirstWork", "slug": "firstwork", "former_names": [ "Migrant.ai", "firstwork.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d263d80a559ff3f8f00a1086c466c45905a09911.png", "website": "https://firstwork.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Firstwork is a next-generation HR platform designed specifically for companies with dynamic workforce needs. Our mission is to streamline and automate key HR processes to help businesses operate more efficiently and effectively.\r\n\r\nWhat We Do (for now):\r\n\r\n(1) Smart Onboarding 📋: Our platform simplifies the onboarding process by automating the collection and verification of credentials, such as right-to-work documents, insurance forms and driver’s licenses. This reduces administrative burden and accelerates the time-to-productivity for new hires.\r\n\r\n(2) AI-Assisted Activation 🤖: Leveraging AI, we enhance communication and messaging for new hires, ensuring they receive timely and relevant information. This helps in better engagement and faster integration into their roles.\r\n\r\n(3) Perpetual Compliance ✅: Our system uses AI and OCR technology to continuously monitor and ensure compliance with various regulatory requirements. This includes tracking expirations of critical documents, updating records, and generating compliance reports, thus reducing the risk of penalties and legal issues.\r\n\r\n", "one_liner": "Rippling for seasonal workers", "team_size": 9, "industry": "B2B", "subindustry": "B2B -> Human Resources", "launched_at": 1721851005, "tags": [ "SaaS", "Human Resources", "Workflow Automation", "Compliance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Human Resources" ], "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/firstwork", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/firstwork.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/firstworkhr/", "x_url": "https://x.com/firstworkhr", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/firstwork-16ba", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d263d80a559ff3f8f00a1086c466c45905a09911.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/13365225e2f6316be33eac0c38ec29eeedc21d7c.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 955974, "full_name": "Vardhan Kapoor", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO @ Firstwork, Rippling for seasonal workers.\n\nPreviously:\nHead of Region, APAC at Remitly (NASDAQ: RELY) where I launched and scaled Remitly’s expansion into the APAC region, building the P&L from ground up to high-eight figures USD ARR across 5+ geographies.\nStrategy Head at Deliveroo (LSE:ROO) where I led regional growth and strategy. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vardhan-kapoor/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2096e99bc7388507e5f3fcd5e9549dbd41df5d28.jpg" }, { "user_id": 1696345, "full_name": "Shubham Choudhary", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO @Firstwork, Rippling for seasonal workers.\nPreviously:\nDirector of Engineering @Deel, led the development and management of PEO, Immigration/Mobility, Time-Off & Time-Tracking products at Deel. \nBuilt out the core infrastructure for the Employer Of Record (EOR) systems at @Rippling, which enabled Rippling’s market entry into end-to-end employee lifecycle in 50+ countries. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shubhamtech/", "x_url": "https://twitter.com/techie_Shubham", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0d23216e082f4a54df4adbc89741f043b738b720.jpg" } ], "jobs": [ { "id": 108077, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/firstwork/jobs/CaWvqIS-software-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": 108078, "title": "Staff Software Engineer", "url": "https://www.ycombinator.com/companies/firstwork/jobs/Jpe1GBs-staff-software-engineer", "location": "Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 108079, "title": "Senior Product Manager", "url": "https://www.ycombinator.com/companies/firstwork/jobs/sv2lAWi-senior-product-manager", "location": "Remote (US)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 108080, "title": "Product Manager", "url": "https://www.ycombinator.com/companies/firstwork/jobs/9RCMhSt-product-manager", "location": "Remote (US)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 108081, "title": "EMEA Sales Lead", "url": "https://www.ycombinator.com/companies/firstwork/jobs/lBAMr0I-emea-sales-lead", "location": "Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 108082, "title": "Strategy & Operations Lead, EMEA", "url": "https://www.ycombinator.com/companies/firstwork/jobs/75hLFkg-strategy-operations-lead-emea", "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": 108084, "title": "Solutions Consultant, EMEA", "url": "https://www.ycombinator.com/companies/firstwork/jobs/Imp7Jfm-solutions-consultant-emea", "location": "Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 108085, "title": "Head of Research & Editorial", "url": "https://www.ycombinator.com/companies/firstwork/jobs/7EuCWDN-head-of-research-editorial", "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": 108086, "title": "Head of Research & Editorial", "url": "https://www.ycombinator.com/companies/firstwork/jobs/qN5pbyD-head-of-research-editorial", "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": 109179, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/firstwork/jobs/sRQFKmZ-senior-software-engineer", "location": "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": 109577, "title": "Marketing Design Lead", "url": "https://www.ycombinator.com/companies/firstwork/jobs/lgyvomJ-marketing-design-lead", "location": "Remote (US)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Workforce management startup Firstwork raises $5M seed", "url": "https://www.axios.com/pro/fintech-deals/2025/02/27/workforce-management-firstwork-5-million", "date": "Feb 27, 2025" } ], "launches": [ { "id": 82431, "title": "🚀 Firstwork - Rippling for frontline workers", "tagline": "The all-in-one HR and compliance platform cutting onboarding time >75%", "body": "**tl;dr**: [**Firstwork**](https://firstwork.com/) **is building Rippling for frontline workers.**\n\nHi everyone! We are Vardhan and Shubham, and we’re on a mission to build an all-in-one HR and compliance platform for frontline workers.\n\n🧨 **The Problem:** Managing workforces in sectors like transport, delivery, and logistics is complex and inefficient. Many sectors have seasonal onboarding/offboarding and onerous credential validation that bottleneck HR Ops teams. Traditional HRIS solutions are scattered across multiple systems, which leads to delays, compliance issues, and high operational costs.\n\nWorking at Deliveroo and Remitly, where we spent a lot of time partnering with frontline workers across the gig economy, trucking, and logistics industries. Managing HR and compliance was a constant struggle.\n\n🎉 **The Solution:** At **Firstwork**, we realize that worker onboarding, compliance, and management are not standalone problems but interconnected opportunities that require a unified approach. It’s with these insights that we’re building a compound product, with an initial focus on:\n\n* **Smart Onboarding 📋:** Automates credential verification with Intelligent Process Automation and OCR, reducing admin burdens and speeding up time-to-productivity.\n* **AI-Assisted Communication 🤖:** Enhances new hire activation for better engagement and faster integration.\n* **Perpetual Compliance ✅:** Uses AI and OCR to ensure continuous compliance, tracking document expirations and updating records.\n\n**Using Firstwork, Employees:**\n\n✔️ Get onboarded faster and with less hassle\\\n✔️ Receive timely and relevant communication for better engagement\\\n✔️ Stay compliant with regulations effortlessly\n\n**and Companies:**\\\n✔️ Avoid compliance issues and potential penalties\\\n✔️ Improve overall worker efficiency per hour \\\n✔️ Save time, costs, and reduce administrative burdens\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXe2_g1HVyT3kqDGZDJeclhjnPtvP8Z1UOnnNkp8LIbHqbmJVEdMbMOpXn3ZHSTqrHlBsnv_dZS1wtr9c5ZBWffOOseNQAXRKDnLd8dpKGny22Mq7QRMSK5F4VpGQMilE8hgMMSs7cX86oRJSorWvDexFrze?key=BnWjbm21DhEvXen5Fbi5aQ)\n\n\\\n💲 **Opportunity:** The scope and impact of our market are significant. Companies in logistics, warehousing, delivery, hospitality, and BPO centers can benefit from our platform, improving their workforce management processes and saving costs.\n\n**Our Team:**\n\n[Vardhan Kapoor](https://www.linkedin.com/in/vardhan-kapoor/), our CEO, has firsthand experience with blue-collar worker engagement challenges at Deliveroo and Remitly, where he scaled various business units to high eight-figure USD ARR. [Shubham Choudhary](https://www.linkedin.com/in/shubhamtech/), our CTO, built the core HR infrastructure at Rippling and Deel and holds multiple US patents.\n\n👋 **Ask:** How you can help\n\n* We’d love to connect with companies in the logistics, ride-hailing, warehousing, trucking, delivery, hospitality, and BPO centers. \n* If you know potential customers or partners, please reach out at [vardhan@firstwork.com.](mailto:vardhan@firstwork.com)\n* We’d also love any feedback or advice from this incredible community.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdXMy7QIbUBRiQJM2qgKkTV5KgMxDfhlzakRVbkQ_S67FG9Yp78Y6f9WUUD8TLRLuy9CZrZux6ko1__oMg3ehSw3XmvAR0McL7kY3kCrEj7Hdzg3XNCxkXjjhfODZdKqEeBLseqdvV7BbhA0XVCWmgyZ1w?key=BnWjbm21DhEvXen5Fbi5aQ)\n\n", "url": "https://www.ycombinator.com/launches/LRX-firstwork-rippling-for-frontline-workers", "votes": 131, "created_at": "2024-07-24T23:57:23.769Z" } ] }, { "id": 29655, "name": "Decisional AI", "slug": "decisional-ai", "former_names": [ "Decisional AI, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/41aabc8daca51e7697f6edfa19e6601f54841485.png", "website": "https://www.decisional.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Decisional is the fastest way to build self healing automation agents that work with the apps you use.\r\nYou just ask for an agent in natural language, it builds and tests its own workflow that it runs constantly in the background.\r\n", "one_liner": "AI Coworkers for Business Automation", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1723533013, "tags": [ "B2B", "Workflow Automation", "Automation", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/decisional-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/decisional-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/decisional-ai/", "x_url": "https://twitter.com/getdecisional", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/41aabc8daca51e7697f6edfa19e6601f54841485.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/29713/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAOTKCHR7A%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022720Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJHMEUCIQDeV7cQCYWa%2ByyakJaw7aH8e0HNWEyd2tO1Fn9KHjIpkgIgJPUveNomWrSf4Oq5DPuVDY7LKeaNJPvi5F2sbSx87Hoq5QMIOhAAGgwwMDYyMDE4MTEwNzIiDJ7%2FkqUU8p5mIeDC5CrCA7F4UggTYlVYiff4mYkoYiIpXa9r%2FKkUhcKwMNwtYpcuNTEBtH5xi9Hzkl3B%2FOYmUn%2FIacrdemsB9KrtOuRo%2FccaY%2Bs%2FSuIzime%2BcYuI7%2B%2Fg2nldjcm7YPCf32sIR8EflXc2916%2FDRMbztsRKDiQDL1ZKbK6YPHJppiQyVyRrrcCFD0X7tEf0D7QgK2DIpKnu8zGLzN4oAHn6xfHIgQnynrupcJbc9cga5AURtsRl7TfSM6XaGTtp1fNogyhUKX9f%2FYIL2pg03nlhLpRpDuqHpJ9qbbVsf%2FvboDHQ4IRRkiCaWH6GZwuTm%2FaXzTPIrAlVKH5%2F0RNaaExh%2Byw4VhHEEsSkHSs4mw%2BmNAKnW2FnWuldPRw5kn3j05dqhv5fkQxdp74JTYQe5wex1YN5PCok147bSKEuieYlIgH%2FiP9NY3Ym0ZRUWuo0zL40XWv9X3L1tLg%2BYWY0fCdhDKHGgTuesmbVajzEhu%2Bg9iWLptoK63cZ4UfO8oOd6sOc09XF6lBy%2BmD%2BSVmOfDWUOzz5ELD16slDTUwml0MZsttBoLDzldUc0olkl5nCAl23UqraiUXeaeW3yLOvJn%2BAD%2B%2FM6PvmZF0VzDn%2FdrWBjqlAVRsuTd0UsfPEqyKlBgBcSJTbWkHvSj10wzTCIqvOoZ3bz1TWza43iHLTCs7u%2FHmvoKE0qG5FTOsMYhLZb5XFdRretuo%2F1BjdoZt%2Fr0dHWGT4LLkmfYrkFclUq7u0pvMr6%2FR4I41ZYdCD3cWpGAcOrCQxKJukkkU%2Fx4O0IOnvZKvXzK4OISHe4XPgWQrnAJcSBOFX%2BXRwhpFbVXOOC%2BtEw%2BR3JTElw%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=8bee015f9d2e527ec670b20013bd1c3991f8cec77c2d9a5f79e0bfbf76009546", "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1762746, "full_name": "Dhruv Tandon", "title": "Founder/CEO", "founder_bio": "CEO & Co-founder @ Decisional AI. LBS and BITS Pilani grad. \n\nBuilding the easiest way to build and manage AI Agents for workflow automation.\n\nPreviously, Product at Razorpay (W15), Drip Capital (S15) and an Analyst at Moonfire Ventures & Concentric Capital.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tandondhruv/", "x_url": "https://x.com/groovetandon", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b7225c147d20cd129e85562bdc12789d6042f40.jpg" }, { "user_id": 990193, "full_name": "Sai Neeraj Kanuri", "title": "Founder", "founder_bio": "Co-founder & Head of Engineering at Decisional AI. NYU grad. Laying the groundwork for an AI Agent that can reliably work for Finance. Previously, engineering at Razorpay (YC W15) and Arthur AI, an ML platform that helps financial services firms like J.P Morgan reduce hallucinations. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/neerajkanuri", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a334a3fac6c1c5e1320ff9a2bb72c2b328e041a6.jpg" }, { "user_id": 1901094, "full_name": "Adit Sanghvi", "title": "Founder/CTO", "founder_bio": "CTO & Co-founder at Decisional AI, building the brain of an AI Agent for Finance. CMU Grad. Previously, worked in deep learning and machine learning at Uber and generated incremental $100m+ in revenue. Hold patents and papers on AI since 2017, before it was cool.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aditsanghvi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cb437ab8f99c02ff396d06a43f72bbf293e6faaf.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92541, "title": "Decisional Knowledge Engines", "tagline": "AI Native workspace for Financial Professionals", "body": "Hey folks, we’re Dhruv, Adit & Neeraj, the founders of [decisional.com](https://www.decisional.com/) and we are introducing the world to Knowledge Engines.\n\n### Decisional Knowledge Engines\n\n**A new way for financial professionals doing in-depth work to collaborate with AI agents.**\n\n**TLDR**\n\nKnowledge engines are AI native workspaces built for financial professionals in private markets to accelerate **due diligence**, **fundamental research**, and **portfolio management** in a secure sandbox environment with **full citations and audit trails**.\n\nPreview video here - https://www.youtube.com/watch?v=RU9Xm8VWNd0\n\nTHE PROBLEM\n\nFinancial professionals spend hours doing grunt work that includes copy pasting tables, screenshotting charts and doing data entry and have been unable to use AI effectively due to a lack of precision and transparency in using LLMs in their workflows.\n\nThe Decisional knowledge engine allows you to **add** and **view** sources to so that you can\n\n1. **Write** your own thoughts into Memos\n2. **Ask** **AI** questions related to the sources you upload\n3. **Generate / Edit** high quality tables, charts and metrics based on the underlying materials with your AI Assistant Dex\n\nDecisional features a powerful **document processing** system that handles multiple formats (excel, pdf, ppt, docx) with OCR for tables, charts, and figures. Our agentic **RAG** implementation grounds AI responses in your sources, delivering up to **4.1x** greater accuracy with fewer hallucinations and the most transparent citations. Choose from top models by Anthropic, xAI, OpenAI, and Meta.\n\n![uploaded image](/media/?type=post&id=92541&key=user_uploads/1762746/22dec013-48a4-4503-9fff-973b36880183)\n\n_(Chart produced with Decisional)_\n\nTop three reasons to use Decisional Knowledge Engines\n\n### **1.You start from SCRATCH**\n\n![uploaded image](/media/?type=post&id=92541&key=user_uploads/1762746/b37b878a-8843-496a-b84c-9c52b4e996e0)\n\nDon’t become a consensus thinker, use AI only when you need it - to do the grunt work not the real decision making. Upload sources you trust and view it on the left, iterate on your workup in the middle and ask AI for assistance on the right, ONLY when you need it.\n\n### **2.Deep Research** & **Agentic Editing** with Finance Grade **Tables**, **Charts** and **Writing**\n\nWe’ve tuned Dex to be thoughtful, analytical and rigorous like any financial professional worth their salt. It spends time thinking before writing to improve depth and understanding. Get Dex to refine outputs, answer follow-ups, and iterate on your materials. Write inline when you need to onto a collaborative editor with Dex. It can even do financial modeling and scenario analysis.\n\n![uploaded image](/media/?type=post&id=92541&key=user_uploads/1762746/724dfdbc-ff09-44d0-b8c4-055a08d4d39f)\n\n### **3.Full transparency**\n\nEvery insight links back to original sources with complete audit trails. Imagine an analyst that can read hundreds of thousands of files in seconds but tells you the exact page with a bounding box around where it got a figure from. Inline citations ensure you don’t have to second guess whether the data is accurate, see for yourself without yielding all your time savings to fact check AI.\n\n![uploaded image](/media/?type=post&id=92541&key=user_uploads/1762746/8f459550-8129-44ef-8f88-067c0d06ac11)\n\nAll this with enterprise grade APIs to embed AI agents within your workflow and deployments that work with your data security policies.\n\n### **Try Decisional free for a week with no credit card**\n\nThere are multiple AI Agents for finance but none offer the level of transparency and control that we do.\n\nNo smoke and mirrors, just results you can trust.\\\nChoose from one of our public samples where we have pre loaded documents for you:\n\n* [AI Infrastructure Build Out](https://app.decisional.com/public/memo/9fc52894-91e4-4531-b776-913929e058a9?promptId=prmt_ainfrabuildout)\n* [US Gambling Restrictions](https://app.decisional.com/public/memo/7154d423-6626-4099-88fb-eb1ffb3c327d?promptId=prmt_usgamblingmemo)\n* [Tesla SEC Filings (10 years)](https://app.decisional.com/public/memo/eb1a312c-1b55-4738-acb9-2ade5880eee9?promptId=prmt_tslasec10years)\n* [Coffee Retailer Data Room](https://app.decisional.com/public/memo/b1fa6424-9790-4194-93e5-eebcc9f8d9ab?promptId=prmt_pvtequityjoeco)\n\nOR login and upload your own documents here - https://app.decisional.com/sign-in\n\nReach out to us at [founders@decisional.com](mailto:founders@decisional.com) if you want to use our [APIs](https://docs.getdecisional.ai/welcome/introduction) to embed our workspace in your product or workflow.", "url": "https://www.ycombinator.com/launches/O4b-decisional-knowledge-engines", "votes": 10, "created_at": "2025-07-29T16:16:45.742Z" }, { "id": 83138, "title": "Decisional - An AI agent for Financial Analysts", "tagline": "AI Financial Analyst to help investors focus on what matters.", "body": "Hey everyone, we’re Dhruv, Adit, and Neeraj — co-founders of [Decisional](https://www.getdecisional.ai/).\n\n### **tl;dr**\n\nDecisional built an AI Financial Analyst that reads and understands data from thousands of public and private sources. Imagine a new world - an AI Analyst, at your beck and call, that has understood every email, read every data room, and can browse the web. \\\n\\\nDecisional breaks down data silos and performs all of your grunt work, ensuring you never have to manually copy a table from a pdf to Excel ever again.\n\n### **The Problem: Grunt Work & Data Silos**\n\nAnalysts want to create alpha through first principles thinking - but they’re blocked by mundane tasks like extracting tables, plotting market maps, and sifting through transcripts and board packs. Their information is scattered in data silos internally (Airtable, Dropbox, Email) and externally (web pages, SEC filings, and private data feeds like S&P).\n\nDecisional ingests information across your organisation and configured external sources to create a knowledge graph that powers a 24x7, intelligent AI Agent empowered with your organization’s information. It helps you unearth key facts and patterns hidden in plain sight.\n\n### **The Solution: Writing > Chatting for Deep Work**\n\nDecisional’s Magic Tables will organize key metrics, competition, and public comps, enriched with external data like funding amounts, stage, geography, and sector.\n\n![uploaded image](/media/?type=post&id=83138&key=user_uploads/1762746/b32cb74b-83a4-4da8-87fc-3a246c5cf797)\n\n\\\nAnalysts generate “AI memos” and glean deep insights from your documents. Decisional eliminates the 24-48 hour wait while your offshore team performs simple data extraction grunt work.\n\nDeep, living documents are then drafted with the help of an AI Agent that automatically pulls and organizes data from underlying sources, complete with citations.\n\n![uploaded image](/media/?type=post&id=83138&key=user_uploads/1762746/784ed30e-d5e2-4e6e-84ca-dfce79a724ae)\n\n![uploaded image](/media/?type=post&id=83138&key=user_uploads/1762746/f7531425-4503-4c11-b5ed-f24e6bd9328e)\n\n### **The Finance + AI + Distributed Systems Squad**\n\nDhruv, Adit, and Neeraj studied at London Business School, Carnegie Mellon University, and NYU, respectively. Adit and Dhruv have known each other for 20 years and are childhood friends. Dhruv and Neeraj shared a PM - Lead Engineer bromance from their time working at Razorpay (W15).\n\n[Dhruv](https://www.linkedin.com/in/tandondhruv/) - Experienced in investing, lending, and banking through working at Moonfire Ventures, Concentric Capital, Drip Capital (S15), and ICICI Bank. Rage quit a bank to join the startup world.\n\n[Adit](https://www.linkedin.com/in/aditsanghvi/) - Developed machine learning models at AWS and Uber, and built models for billions of transactions that generated over $200+ million in additional revenue. Published research and patents in machine learning since 2017.\n\n[Neeraj](https://www.linkedin.com/in/neerajkanuri) - Developed end-to-end financial infrastructure that handles over $150B in transaction volume at Razorpay (W15). Won a contest in Yann LeCun’s Deep Learning course and then built distributed systems at Arthur AI for financial services firms like JP Morgan.\n\n![uploaded image](/media/?type=post&id=83138&key=user_uploads/1762746/20a310e0-32b6-4d5d-a483-0c7c3f733ea6)\n\nWatch our full product video here:\n\n", "url": "https://www.ycombinator.com/launches/Lcw-decisional-an-ai-agent-for-financial-analysts", "votes": 298, "created_at": "2024-08-16T21:16:34.697Z" } ] }, { "id": 29695, "name": "Dench.com", "slug": "dench-com", "former_names": [ "Merse", "Merse Originals, Inc.", "Merse", "Dench.com", "Dench" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef306ea6f1d72c351b58047f5bd3c1644904cbd2.png", "website": "https://dench.com", "all_locations": "San Francisco, CA, USA", "long_description": "Dench: AI CRM + Full-Service Deployment\r\n\r\nMost CRMs sell you software and hand you a 200-page setup guide. Dench is different. We're the only CRM that ships with an embedded team: we migrate your data, build your object schema, configure your integrations, train your people, and deploy AI agents that keep your pipeline clean without a Salesforce developer, a RevOps contractor, or a six-month implementation project.\r\n\r\nFrom day one, our team works inside your stack. We pull your existing data out of HubSpot, Salesforce, or whatever spreadsheet graveyard you're currently using, and rebuild it properly in Dench. Custom objects, custom fields, automation rules, integration config across Gmail, Slack, Notion, GitHub, LinkedIn, and 50+ other tools. Everything set up the way your business actually works, not the way a generic CRM template assumes it does.\r\n\r\nThen we train your team. Not a one-hour Zoom and a PDF. Real sessions that build CRM discipline: how to log activity consistently, how to keep data clean, how to use AI agents to do the repetitive work so your reps spend time selling instead of updating fields. Quarterly business reviews keep the system evolving as your pipeline grows.\r\n\r\nThe AI layer is what makes it permanent. Dench agents enrich leads automatically, move deals through stages based on real signals, draft outreach, log interactions, and flag hygiene issues before they compound. Your CRM stays accurate without someone babysitting it.\r\n\r\nNo implementation consultant invoice. No dedicated Salesforce admin headcount. No duct-taped automation stack. One engagement, everything included, starting at $1,500/month.", "one_liner": "Workspace for your AI Agents, Build any Workflow.", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1720334032, "tags": [ "Workflow Automation", "Open Source", "CRM", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Productivity" ], "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/dench-com", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/dench-com.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/denchcom", "x_url": "https://twitter.com/dench_com", "fb_url": null, "cb_url": null, "github_url": "https://github.com/orgs/DenchHQ", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef306ea6f1d72c351b58047f5bd3c1644904cbd2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/01b12d21db95d8785bb5a9439641c04bf7b04e6b.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 990824, "full_name": "Mark Rachapoom", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO of Dench (dench.com); Founded Merse; Vercel AI Accelerator; Previously developed a top-ranking iOS app, reaching #3 on the App Store.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/markrachapoom/", "x_url": "https://www.twitter.com/markrachapoom", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8339589ffeff0106c972f2c1f6007982bf97032a.jpg" }, { "user_id": 455465, "full_name": "Kumar Abhirup", "title": "Founder/CTO", "founder_bio": "Founder of Dench.com, formerly Merse. Worked alongside Naval Ravikant as engineer at Airchat. Sold my first company Beam (Substack for Texting) at the age of 16.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kumareth", "x_url": "https://twitter.com/kumareth", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8f2425f44553622613beb7926bf732200feb36c8.jpg" } ], "jobs": [ { "id": 78260, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/dench-com/jobs/8WGRwRI-founding-engineer", "location": "San Francisco, CA, US / Remote (San Francisco, CA, US; New York, NY, US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 84562, "title": "Chief Growth Strat", "url": "https://www.ycombinator.com/companies/dench-com/jobs/cVcSPlW-chief-growth-strat", "location": "US / Remote (US)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$60K - $80K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Empathy Meets Efficiency: AI Voice In Law, Healthcare And Collections", "url": "https://www.forbes.com/councils/forbestechcouncil/2025/05/29/empathy-meets-efficiency-voice-ai-in-law-healthcare-and-debt-collection/", "date": "May 29, 2025" }, { "title": "Business Insider - 13 Creator and Influencer Startups to Watch in 2024, According to VCs", "url": "https://www.businessinsider.com/promising-creator-economy-influencer-marketing-startups-per-top-vcs-2024-10", "date": "Oct 24, 2024" }, { "title": "The Journal by Fondo | Merse launches: Netflix for Audio-Visual Comics", "url": "https://www.tryfondo.com/blog/merse-launches", "date": "Jul 16, 2024" } ], "launches": [ { "id": 87857, "title": "Dench.com — AI Intake for Law Firms", "tagline": "AI Secretary to pre-qualify leads for Law Firms", "body": "![uploaded image](/media/?type=post&id=87857&key=user_uploads/455465/eaa1bd7b-f4ac-41db-b30f-10e8ac46f443)\n\n[Dench.com](http://dench.com/) is transforming legal lead qualification with AI voice agents. We’re doing to law firm intake what AI receptionists are doing to customer service—offering real-time lead qualification, 24/7 availability, and seamless CRM integration at a fraction of the cost.\n\nWe help law firms increase revenue by automating intake and monetizing unqualified leads through a compliant referral network.\n\nSince most people here aren’t our target customers, **we’d appreciate introductions to lawyers, legal intake teams, or law firm operators.**\n\nThe fully-managed system that intakes, follows-up with, manages, and updates clients. No human intervention required.\n\n---\n\n## **The Problem**\n\nLaw firms are overpaying for basic answering services that do little more than take messages.\n\n* **Missed after-hours calls:** Most law firms only accept intake during business hours, losing many clients that call after-hours.\n* **Limited Intake Staff:** Not every incoming potential client is vetted and then duly followed up with, because intake staff is already exhausted with a lot of work, and can cost $42K a year per intake specialist.\n* **High costs:** Services like Answering Legal charge $3.91/minute, and Ruby charges $235/month for just 50 minutes, they employ a human sweatshop somewhere in Georgia and sometimes in India which potential clients do not prefer.\n* **Wasted leads:** Many law firms turn away the majority of inbound leads without monetizing them through referrals.\n\n---\n\n## **Our Solution – AI Call Intake with our Lead Referral Network**\n\n![uploaded image](/media/?type=post&id=87857&key=user_uploads/455465/5e7010ea-bb2a-4c8d-a7d0-8a825fbffac3)\n\nDench replaces expensive human receptionists with AI voice agents that:\n\n* **Qualify leads in real-time:** Our NLP-driven AI assesses lead quality during calls, not after.\n* **Offer 24/7 availability:** No missed calls, no lost leads.\n* **Integrate seamlessly with CRMs:** Auto-syncs data to platforms like Clio Grow, eliminating manual entry.\n* **Monetize unqualified leads:** Converts rejected cases into paid referrals through a compliant network. We transfer the call to another AI representing another law firm that handles that kind of cases, and micro-transact the lead live, helping law firm earn for the referred lead.\n* **Schedule Consultations Automagically:** Intake staff would not have to call them back for anything as our AI handles all the followups, payments and everything right up to the end of the pipeline.\n\n---\n\n## **Key Features**\n\n* **Affordable pricing:** $0.99/minute, undercutting traditional services while offering superior automation.\n* **AI lead routing:** Instantly matches callers with the right attorney based on practice area.\n* **Regulatory compliance:** Built to comply with state-specific referral rules, ensuring ethical fee-sharing.\n* **Detailed analytics:** Track call performance, lead quality, and conversion rates.\n* **Automated Scheduling:** Intake specialist would never have to call again later, the AI handles all the followups until the consultation is scheduled.\n\n![uploaded image](/media/?type=post&id=87857&key=user_uploads/455465/e9ee6fdc-c09b-42d9-833f-aaa086c85686)\n\n---\n\n## **Market Opportunity**\n\n* 450,000+ law firms in the U.S.\n* 150,000+ mid-sized firms (5–20 attorneys) — our core target.\n* Average mid-sized firm handles 80–100 calls/month.\n* Law firms in the US spend upwards of $4.5B for managing intake, and $22B in marketing and lead-generation expenses.\n\n**Revenue potential**\n\n* **Bottom-up Revenue Projection:**\n\n 150,000 × $0.99 (per call minute) × 4 (avg duration) × 100 calls x 12 months = **$712.8M ARR**\n* **1% market penetration:** $8.5M ARR\n* **5% market penetration:** $42.6M ARR\n* **10% market penetration:** $85.2M ARR, plus $12M+ from referral fees\n\n---\n\n## **Live Demo**\n\n![uploaded image](/media/?type=post&id=87857&key=user_uploads/455465/5a4800b4-072e-4923-8599-65c83c9bf055)\n\n---\n\n## **Founding Team**\n\n* **Mark Rachapoom:** Co-Founder & CEO of [Dench.com](http://dench.com/). Founded Merse. Vercel AI Accelerator. Developed an app that reached #3 on the App Store.\n* **Kumar Abhirup:** Co-Founder & CTO of [Dench.com](http://dench.com/), Worked alongside Naval Ravikant at Airchat, sold [itsbeam.com](http://itsbeam.com/) at age 16.\n\n---\n\n## **Our Ask**\n\n* **Introductions:** Know any lawyers, legal intake teams, or firm operators? We’d love to meet them. Please introduce them to us. Here’s a blurb you can send them easily:\\\n “[Dench.com](http://dench.com/) is an AI Intake Specialist Platform that take calls from prospective clients, talks to them (sounds totally human, it laughs, does uhms and aahs), vets them, conflict checks, does follow-ups and books an appointment, or it forwards the call to a human after client pre-qualification.\n\n They can work after-hours 24x7, they also integrate with Clio/Lawmatics.\n\n They convert rejected cases into paid referrals through their referral network, to land you huge profits over “wasted” leads.\n\n For a simple demo, try calling (415) 997-2939 as someone with any legal dispute, property or other variety of issues you can possibly imagine.”\n* **Beta testers:** We’re offering free trials to law firms interested in AI-powered intake.\n\n📧 **Email:** [founders@dench.com](mailto:hey@dench.com)\n\nJoin us in transforming legal lead qualification and full-stack lead generation and management.", "url": "https://www.ycombinator.com/launches/Mr3-dench-com-ai-intake-for-law-firms", "votes": 50, "created_at": "2025-02-20T16:40:07.404Z" }, { "id": 82025, "title": "Merse: The Netflix for audio-visual comics", "tagline": "Comic reader and AI creator with audio effects", "body": "![](https://lh7-us.googleusercontent.com/docsz/AD_4nXdBaxrK7CcR3gzn-A00Ocq7nz7Gv5H3RculiBueZTO77gTL_Gw-Fmr-__xZItu9CxLHXoBQltCt2V2jf7XJqBJpx4leYKA8XptCBo0QS-llFeavgHdDdTQkWQ5Zg5HCOdG7Un6hnFNLBv1Zqn-bHc5I93gz?key=qRiSZgvhLfMtdDoMZNm-xA)\n\n# **⏰ TLDR;**\n\n**WE are the Netflix for Audio-Visual Comics,** with a wide range of premium entertaining content for comic readers.\n\n**YOU** can **HEAR THE CHARACTERS SPEAK** in 6 languages, with immersive soundtracks and crispy audio effects.\n\n**ARTISTS** can **EARN A LIVING** by creating, uploading, publishing, and monetizing comics. With a wide range of characters, voices and soundtracks to choose from. Artists can also generate audio effects and soundtracks at will using Merse AI. Our AI tooling handles text and voice translation of speech bubbles.\n\n**GET THE APP** @ [merse.co](http://merse.co/)\n\n---\n\n---\n\n---\n\n# **⚠️ The Problem**\n\n**Creating comics is a labor-intensive process** that requires significant time and effort.\n\nDespite the popularity of comics, producing them often **takes hours of meticulous work** using tools like Adobe Illustrator, or requires plain drawings. This limits the number of creators who can participate and the volume of content available to readers.\n\nThe comic reading experience has been the same for decades. On the other hand, **readers are looking for new and more immersive experiences.** While static images are the norm, there is a growing demand for interactive content that brings characters and stories to life with character voices and sounds.\n\n---\n\n---\n\n---\n\n# **🫶 Our Solution — Audio-Visual Comics**\n\n[**https://www.youtube.com/watch?v=uidjDsilxms**](https://www.youtube.com/watch?v=uidjDsilxms)\n\nThe Merse platform enables creators to generate high-quality, audio comics quickly and easily, and offers readers an immersive experience. You focus on crafting engaging stories; Merse handles all your tech, distribution, and monetization.\n\n---\n\n# **📸 Features**\n\n**• Generate comics using AI:** Our GenAI features create detailed comic panels from your scripts, creates compelling voices in multiple languages for each speech bubble, with AI generated sound effects, significantly reducing the time from concept to publication.\n\n**• Audio Effects + Soundtracks:** Be it the sound of gulping water, or cracking knuckles, it has it all.\n\n**• Read and Hear in 6 different languages:** 🇮🇳Hindi 🇫🇷French 🇨🇳Chinese\\\n🇯🇵Japanese 🇰🇷Korean 🇺🇸English\n\n**• Monetization options:** Choose how to monetize your content – keep it free, or charge users per episode.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXd_bJUbA6bx3M3KxAr3qIM5R3W0A7geU2auFE-r1w35sW10EbGwzQrQVX6CtUZbevZVH5spBJFvLvVO91nOrE2QIGe4hoNybDPpr4Ffx36nKv75GLxCm7-chh9TkehdTSUf2JISQdu0etlbY0d74iDjFJvs?key=qRiSZgvhLfMtdDoMZNm-xA)\n\n---\n\n# **🏪 The Market**\n\nThe biggest incumbent in this industry is Naver Webtoons. It’s the YouTube for static, hand-drawn comics. Over 120,000 artists draw and upload their episodes and get paid over $27M for their work, clocking in a revenue of over $1.4B a year and 170M monthly active readers.\n\n---\n\n# **🇺🇸 The Founders**\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXdJDl22TQVliZe38bVqEVmAzhxeTY-H4BiFyI2Z0o2XixgFedjKv1y7nrELdGwiRR3WUXy9q65n4eww-gwuGo_wOeOzTKpQbeLvm0H-hxUTG_QbqdzHgabiC8A3QvAVICKuCI_TRsr51SGmnyPHFfajxKno?key=qRiSZgvhLfMtdDoMZNm-xA)\n\n[**Mark Rachapoom**](https://x.com/markrachapoom)\n\n**CEO of Merse,** 21-year-old founder, an engineer at heart with a great sense of design, college dropout, and fellow at Vercel AI Accelerator. He created Diary Dingo, an iOS journaling app that hit the top 3 in the App Store's Lifestyle category within 24 hours of launch.\n\n[**Kumar Abhirup**](https://twitter.com/kumareth)\n\n**CTO of Merse,** 20-year-old founder, dropped out of high school in Nashik, India, and worked alongside Naval Ravikant as an **Engineer at Airchat**, **1x Exited founder** @ [itsbeam.com](http://itsbeam.com)\n\n---\n\n---\n\n# **🙏 Our Ask**\n\n• **Connect us to creators and readers:** We’re looking to connect with comic artists, writers, and enthusiasts interested in innovative storytelling methods. Please reach us at [hey@merse.co](mailto:hey@merse.co), and we’ll follow up.\n\n• **Create on Merse:** Are you a passionate comic creator looking to transform your storytelling process? Start creating on our platform and own your storytelling journey! Share the comics you love on the Merse feed and on your socials, and help us gauge what content works best.\n\n• **We are looking to seed content:** CONTENT IS KING! It’s important we have a good catalog of content before future launches. If you want to help us with filling Merse up with exciting content, and have ideas, or want to work with us, contact [hey@merse.co](mailto:hey@merse.co)\n\n• **If you have experience going viral on TikTok / Reddit or are a good growth hacker and would love to help us**, contact us.\n\nJoin us in helping artists story-tell with Merse.\n\n![uploaded image](/media/?type=post&id=82025&key=user_uploads/455465/d512f5b4-fb4e-402c-8d0e-c7e82e3e6ed6)\n\n", "url": "https://www.ycombinator.com/launches/LKz-merse-the-netflix-for-audio-visual-comics", "votes": 27, "created_at": "2024-07-10T14:18:03.616Z" } ] }, { "id": 29705, "name": "Lighthouz AI", "slug": "lighthouz-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/590821192763a73a9f24cba27c008ad9759614a4.png", "website": "https://lighthouz.ai/", "all_locations": "Atlanta, GA, USA", "long_description": "Lighthouz is a backoffice AI solution for freight brokers, to automate AP, AR, and Collections. \r\n\r\nLeading freight brokers are using Lighthouz AI to automate FTL (full truckload) and LTL (less than truckload) freight bill auditing, automatically filing disputes, and invoicing customers. \r\n\r\nWith Lighthouz, 70%-85% emails do not need to be touched by humans. \r\n\r\nHence, brokers using Lighthouz are invoicing customers 36% faster, getting paid 5 days sooner, and reducing back office costs by 40%.\r\n\r\nLighthouz brings 25+ years of supply chain, logistics, and AI experience to brokers, with a AI Professor from Georgia Tech who taught 1000+ students, and team with PhD and MS in AI, Machine Learning, and Data Science. ", "one_liner": "Freight bill audits, AP, AR automation for freight brokers with…", "team_size": 8, "industry": "B2B", "subindustry": "B2B", "launched_at": 1724264636, "tags": [ "SaaS", "Workflow Automation", "Logistics", "Supply Chain", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lighthouz-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/lighthouz-ai.json", "year_founded": 2023, "city": "Atlanta", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lighthouz-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/590821192763a73a9f24cba27c008ad9759614a4.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": 122192, "full_name": "Srijan Kumar", "title": "Founder/CEO", "founder_bio": "I'm an award-winning AI professor-turned-entrepreneur. Over the last 14 years, my AI systems have been used at Meta, Wikipedia, The Home Depot, and Flipkart. I have been a Georgia Tech professor and worked at Google, Stanford, CMU, and UMD, and IIT. I pioneered dynamic graph neural nets. I have written 60+ AI publications w 6000+ citations. Awards won: NSF CAREER, Forbes 30u30, Kavli Fellow.\n\nI'm building AI agents to do AP and AR in logistics, powered by dynamic knowledge graphs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/srijankr/", "x_url": "https://x.com/srijankedia", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6ee02be8c90e9764459d5346af28c8f58e55c642.jpg" }, { "user_id": 1179316, "full_name": "Sonali Pattnaik", "title": "Founder/COO", "founder_bio": "Sonali is the COO and Co-founder of Lighthouz.\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sonali-pattnaik/", "x_url": "https://x.com/sonalipnaik", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e5d65c18112caa1e819a7c9297cc10681c51bfb.jpg" } ], "jobs": [ { "id": 91105, "title": "Software Engineer (4-6 Years Experience)", "url": "https://www.ycombinator.com/companies/lighthouz-ai/jobs/05KYNGI-software-engineer-4-6-years-experience", "location": "DL, IN / Delhi, IN", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "₹2M - ₹3.5M INR", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 101621, "title": "Founding Account Executive ", "url": "https://www.ycombinator.com/companies/lighthouz-ai/jobs/lcnoXxx-founding-account-executive", "location": "US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$75K - $150K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 113866, "title": "Lighthouz AI: AI to automate collections for freight brokers and 3PLs", "tagline": "Freight brokers and 3PLs collect what they're owed 5-8 days faster — without adding headcount to AR", "body": "Freight brokers and 3PLs run lean accounting teams that spend their days chasing money that's already earned. Every unpaid invoice means emailing a customer, checking a portal, following up again a week later, and manually deciding which accounts are actually at risk — work that scales linearly with headcount and doesn't get easier as a book of business grows. DSO creeps up not because customers refuse to pay, but because no one has time to chase every invoice consistently.\n\nLighthouz built Lucie, an AI collections agent purpose-built for freight finance. Lucie works customer accounts the way a best-in-class AR analyst would, just continuously and across every account at once:\n\n* Email Collections Agent — drafts and sends context-aware payment reminders and follow-ups, escalating tone as invoices age\n* Portal Collections Agent — logs into customer payment portals to check status and submit documentation, so nothing stalls waiting on a portal check\n* Collections Work Queue — surfaces the accounts that actually need a human, with full context, instead of a flat list of overdue invoices\n* AR Risk Dashboard — flags at-risk accounts early using payment-behavior signals, before they become write-offs\n\nEvery action Lucie takes is visible to the AR team, with clear ownership indicators showing what's automated and what's waiting on a person — collections teams stay in control of the relationship, they just stop doing the busywork.\n\nFounders:\n\nSrijan and Sonali are married co-founders who met at IIT during undergrad and bring 15+ years of combined AI and supply chain experience. Srijan was a CS professor at Georgia Tech, a former Google research scientist, and a Stanford postdoc with 60+ publications. Sonali spent a decade as an AI/data engineer in fintech and insurance, including at Halliburton, Progressive, and American Family.\n\nKey Metrics:\n\n* DSO reduction: 5-8 days faster to collect\n* 30%-50% reduction in overdues \n* 45% of collections touches now automated\n* One AR specialist manages 2x more accounts\n\nTraction:\n\nLighthouz already powers finance operations of 40+ freight brokers and 3PLs, including Hoplite Logistics, Southern Reins Logistics, ADL, and NAD Logistics. Lighthouz AI has won the TIA 2025 and 2026 Technovator Awards.", "url": "https://www.ycombinator.com/launches/TcY-lighthouz-ai-ai-to-automate-collections-for-freight-brokers-and-3pls", "votes": 3, "created_at": "2026-09-07T20:11:49.454Z" }, { "id": 96349, "title": "Lighthouz AI: AI to automate AP and AR for freight brokers and 3PLs", "tagline": "3PLs invoice customers within 24 hours of delivery & get paid 5 days faster", "body": "https://www.youtube.com/watch?v=SNdu7kqN0MY\n\nFreight brokers and 3PLs still run AP and AR manually.\n\nAccounting teams spend days processing carrier bills, chasing missing PODs, delaying customer invoicing, and collections efforts. Cash flow stagnates. Before Lighthouz, teams typically take 3–5 days to approve carrier bills and send customer invoices — and still miss errors like duplicate payments and invalid accessorials.\n\n**At Lighthouz, we’ve built freight-native AI agents to automate AP and AR for brokers and 3PLs. With Lighthouz, brokers are invoicing customers within 24 hours of delivery and reduce days-to-get-paid by 5 days.** \n\n### **Who we are**\n\nWe’re **Srijan and Sonali**, the founders of **Lighthouz AI**. We’re part of YC S24. \n\nWe met a decade ago during undergrad at **IIT**, have been building together ever since, and have been married for 5+ years. Srijan and Sonali have 15+ years of combined experience in AI and supply chain, building AI systems for companies like Halliburton, The Home Depot, Google, and more. \n\n* **Srijan** an award-winning AI scientist with **60+ publications and 6,000+ citations**.  He’s been a **CS professor at Georgia Tech**, an **ex-research scientist at Google**, completed his **postdoc at Stanford**, and earned his **PhD from the University of Maryland**.\n* **Sonali** is a former **Lead AI Engineer** at **Halliburton**, **Progressive Insurance, and American Family**, specializing in **unstructured data** and building production-grade AI systems from scratch. She earned her **MS from the University of Washington**.\n\nWe’ve spent our careers building and deploying AI for complex, messy real-world data — which is exactly what freight finance looks like.\n\n### **What Lighthouz AI does**\n\nLighthouz handles the entire freight billing workflow:\n\n✅ Ingests **carrier bills, PODs, BOLs, lumpers, and invoices** from email and uploads\n\n✅ Extracts and structures **all freight data** — rates, accessorials, remit-to, signatures, handwritten notes\n\n✅ Verifies carrier bills against **rate confirmations / quotes**\n\n✅ Detects exceptions like **duplicates, overbilling, missing PODs, wrong factors, and invalid accessorials**\n\n✅ Auto-approves clean bills and routes **only true exceptions**\n\n✅ Approves and submits **customer invoices within 24 hours of delivery**\n\n✅ Sends automated **collections reminders** to customers pre- and post-due date \n\n✅ Creates a work queue for human collectors \n\n✅ Posts clean, validated data directly into the **TMS with full audit trails**\n\n### **Why this matters**\n\nManual AP/AR quietly kills cash flow in freight. Before Lighthouz, teams typically take **3–5 days** to approve carrier bills and send customer invoices — and still miss errors like duplicate payments and invalid accessorials.\n\nWith Lighthouz:\n\n* Processing time drops from **3–5 days → <24 hours**\n* Days to get payment from customers reduces by 5 days \n* One AP specialist can process **4–5x more volume**\n* Errors and rework drop dramatically\n* Teams scale without adding headcount\n\nThis isn’t generic automation. Lighthouz is freight-native, built for multi-stop loads, multi-document PDFs, missing pages, rotated scans, handwritten notes, and factoring response workflows.\n\n### **Where we are**\n\nWe are already working with leading freight brokers and 3PLs in the US and Canada. \n\n**Ask** ❤️\n\nIf you know freight brokers or 3PLs, please introduce us!", "url": "https://www.ycombinator.com/launches/P41-lighthouz-ai-ai-to-automate-ap-and-ar-for-freight-brokers-and-3pls", "votes": 16, "created_at": "2025-12-22T13:34:56.794Z" } ] }, { "id": 29740, "name": "Redouble AI", "slug": "redouble-ai", "former_names": [ "Deconvolute AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/20753f897b891239d8d377fd61dc4c2f58e6523d.png", "website": "https://redouble.ai/", "all_locations": "New York City, NY, USA; Remote", "long_description": "At Redouble AI we have developed Silverlake, a Java-native agentic AI operating system for enterprise. While other AI solutions force enterprise stakeholders to embrace unfamiliar concepts in an unfamiliar language, we do the opposite: we slot agentic AI right into the enterprise comfort zone - by mapping all agentic concepts onto established enterprise primitives in their own language, their own security model, their own infrastructure. It’s like moving from Bitcoin to Stablecoin, just for agentic AI. \r\n\r\nWhen we did YC we realized there was no framework or platform that gave us as enterprise and workflow automation veterans what we needed to build truly secure, reliable, and scalable agentic solutions for mission-critical workflows. That’s why we spent the past 18 months building Silverlake from the ground up. \r\n\r\nWe empower the 12 million Java engineers worldwide to write and deploy their own AI, securely, at scale. They define an agent in a few lines of code, and our platform does everything else, from orchestration to permission control, from auditability to rate limiting, from long-running agents to autonomous coordinated networks that perform the work of entire departments. \r\n\r\nSilverlake has been developed with design partners across biopharma, insurance and financial services. For example, our agentic workflows write submission-ready Clinical Study Reports that are hundreds of pages long, analyze entire datarooms full of financial and operational data for private equity investors, and automate claims processing for a large insurance player. \r\n\r\nWe are backed by Y Combinator, Exponential, Transpose Platform, Tiny VC, and the Oxford Seed Fund and advised by Java inventor James Gosling and automation guru Professor Christian Terwiesch. ", "one_liner": "Java-native multi-agentic AI operating system for enterprise", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1724701202, "tags": [ "Generative AI", "B2B", "Workflow Automation", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "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/redouble-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/redouble-ai.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/redouble-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/20753f897b891239d8d377fd61dc4c2f58e6523d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1897636, "full_name": "Martin Bittner", "title": "Founder/CEO", "founder_bio": "Martin Bittner is a serial entrepreneur in AI and automation for complex enterprise workflows. Before co-founding Redouble AI, he was the CEO of Arctoris, a successful pharma workflow automation company which he co-founded and led from inception to scale. In terms of background, Martin obtained his MD from the University of Freiburg in Germany, his DPhil in Oncology as a Rhodes scholar at the University of Oxford, and his MBA from The Wharton School. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marbit/ ", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1b47562b3f5573a152567d5c0da70d75bb8820d5.jpg" }, { "user_id": 1959127, "full_name": "Andrey Santrosyan", "title": "Founder/CTO", "founder_bio": "Andrey has spent 25 years in data and software engineering across Novartis and several startups. Specializing in devising and executing holistic data and software strategies, he led the development of over 120 software, data and AI applications, contributing to the successful market introduction of seven pharmaceutical products", "is_active": true, "linkedin_url": "https://linkedin.com/in/santrosyan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/71112602568ae03373f9ba977e85b328a8e6a13c.jpg" } ], "jobs": [], "news": [ { "title": "The Workflow Control Plane: Why Identity Isn't Enough for Zero Trust Agentic Systems", "url": "https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6714738", "date": "May 11, 2026" }, { "title": "The Golden Five: Non-Negotiable Security Rules For Your Agentic AI", "url": "https://www.forbes.com/councils/forbestechcouncil/2026/04/24/the-golden-five-non-negotiable-security-rules-for-your-agentic-ai/", "date": "Apr 23, 2026" }, { "title": "Why GenAI Pilots Often Fail To Scale To Production", "url": "https://www.forbes.com/councils/forbestechcouncil/2025/12/29/why-genai-pilots-often-fail-to-scale-to-production/", "date": "Dec 28, 2025" }, { "title": "Five Learnings To Successfully Move AI From Pilot To Production", "url": "https://www.forbes.com/councils/forbestechcouncil/2025/10/23/five-learnings-to-successfully-move-ai-from-pilot-to-production/", "date": "Oct 22, 2025" } ], "launches": [ { "id": 101524, "title": "Silverlake: The Java-native agentic AI operating system for enterprise", "tagline": "Mapping agentic concepts onto established enterprise primitives", "body": "Hey YC! \n\nWe're [Martin](https://www.linkedin.com/in/marbit/) and [Andrey](https://www.linkedin.com/in/santrosyan/) from [Redouble AI](https://redouble.ai/). We have spent our entire careers in workflow automation in highly regulated industries - and just launched **the first agentic AI operating system for enterprise in Java**. \n\nOur launch video:\n\n\n\n# ❌ **The Problem**\n\nEvery large company’s Board wants agentic AI deployed yesterday - but **the Java engineers in the enterprise who are supposed to deliver these AI solutions can’t just abandon their stack and security model and instead adopt paradigms that go against their most fundamental engineering principles**. Put differently: no enterprise Java engineer will ship production AI in Python - the cultural and engineering mismatch is too deep. In mission-critical workflows, you can’t rely on system prompts as “guardrails”, you can’t rely on only having rudimentary permission control, you can’t rely on data being moved outside of your premises. \n\n![uploaded image](/media/?type=post&id=101524&key=user_uploads/1897636/4022bdd2-26fd-4cf9-b327-9e88da4578e0)\n\n# **✅ The solution**\n\nThat is why we developed **Silverlake**, a Java-native AI operating system that **maps every single agentic concept and concern onto an established enterprise primitive**. Think of Bitcoin: it was a new technology, it was scary, and there was absolutely no way a bank would move its deposits into Bitcoin. But then, we got Stablecoins - mapping the new technology onto the familiar primitive of the US Dollar. And now, trillions of dollars are routinely being moved in Stablecoins, and it’s part of everyday finance. We do the same thing for agentic AI, slotting it right into the enterprise comfort zone.\n\n![uploaded image](/media/?type=post&id=101524&key=user_uploads/1897636/416be4ec-9e0c-4079-b26c-2f3895d80ce1)\n\n**For example**, agent identity is the existing identity layer, extended. Agent audit is the existing audit framework, extended. Same for orchestration, permissions, rate limiting, observability, fault tolerance. \n\nWith Silverlake **we empower the 12 million Java engineers worldwide to develop and deploy agentic solutions for their companies in a code-first platform**. They define an agent in a few lines of code, and Silverlake takes care of everything else, giving Java engineers the same granular control over their AI as they have over any other production system.\n\n![uploaded image](/media/?type=post&id=101524&key=user_uploads/1897636/3b4e29b9-5650-49dd-8666-3af5c376785a)\n\nIn technical terms, **Silverlake offers**:\n\n* **Deployment** in private cloud, managed cloud, on premise, hybrid or even air-gapped environments\n* Seamless **connectivity** across the entire enterprise tech stack\n* True Zero Trust, **security-first architecture** with RBAC+ABAC permissions\n* **Deterministic guardrails** enforced in code, impervious to prompt manipulation\n* **Resource management** across operations that differ by orders of magnitude (from milliseconds to minutes)\n* **Hardware and token use optimization** enabling thousands of concurrent agents even on modest hardware\n* **Incorruptible domain objects** enabling deep chains of specialized and long-running agents\n* **Full audit trails** with complete job lineage and structured reasoning on every AI decision\n* Continuously **learning from your experts while in production**\n\n# **💡 Examples**\n\nSilverlake has been **developed with design partners across biopharma, insurance and financial services**. For example, our agentic workflows write submission-ready Clinical Study Reports that are hundreds of pages long, analyze entire datarooms full of financial and operational data for private equity investors, and automate claims processing for a large insurance player, from extracting data from a faxed form to comparing against the policy in place and doing full coverage determination, benefits explanation, etc. The possibilities are endless. And as it’s all plain Java, every new deployment organically generates expansion within the organization - one engineering team automates a workflow, the team next door jumps on board, and it scales by itself from there.\n\n![uploaded image](/media/?type=post&id=101524&key=user_uploads/1897636/6520cdfc-89d5-4bff-94f3-604b2df11da2)\n\n# **❓Why Java?**\n\n**12 million Java engineers run the world's enterprise infrastructure**. Python is the language of data science - rightfully so - but production agentic systems have far more in common with enterprise software than with a Jupyter notebook. Same transaction management, same permission enforcement, same deployment pipelines, same monitoring - and Java has been solving these problems for 30 years. There are great Java AI frameworks out there, but none that tackle the production infrastructure challenges - resource orchestration, deterministic security, observability at scale. That's what we built with Silverlake.\n\n# **👫 The team**\n\n**We have spent our entire careers automating complex enterprise workflows**: [Martin](https://www.linkedin.com/in/marbit/) (CEO) is a Rhodes scholar, Oxford PhD, and Wharton MBA turned serial entrepreneur who previously founded and scaled a pharma workflow automation company closing millions in enterprise deals; [Andrey](https://www.linkedin.com/in/santrosyan/) (CTO) has developed more than 120 enterprise software and AI applications in a 25 year career across large enterprise and several startups. We are backed by Y Combinator, Exponential, Transpose Platform, Tiny VC, and the Oxford Seed Fund and advised by Java inventor James Gosling and automation guru Professor Christian Terwiesch. \n\nWe'd love your support - follow us, share us, work with us, or just say hi.\n\nYou can reach us at [founders@redouble.ai](mailto:founders@redouble.ai) and \n\n[Book a Demo](https://calendly.com/d/cqhn-9ft-kzq/redouble-ai-demo)\n\n![uploaded image](/media/?type=post&id=101524&key=user_uploads/1897636/f59f68cb-20ac-49be-a0d5-aaa204ce600a)\n\n", "url": "https://www.ycombinator.com/launches/QPU-silverlake-the-java-native-agentic-ai-operating-system-for-enterprise", "votes": 10, "created_at": "2026-05-19T15:14:55.606Z" } ] }, { "id": 29791, "name": "Cartage", "slug": "cartage", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3d0afccc0962e52bb6440d323cf8b43f42b8a268.png", "website": "https://cartage.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Cartage is the future of freight coordination. Transparent, tech-driven and eliminating the need for human coordinators.", "one_liner": "Autonomous freight coordination", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1716915052, "tags": [ "Machine Learning", "Workflow Automation", "Logistics", "Supply Chain", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "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/cartage", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/cartage.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cartage-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3d0afccc0962e52bb6440d323cf8b43f42b8a268.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/016bceb345b673eb7a6146a8648f6fae229d760b.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1567005, "full_name": "Abdul Basharat", "title": "Founder/CEO", "founder_bio": "Abdul is cofounder and CEO of Cartage. He started his career training as a military pilot. He was the product lead for network and PLG at Rose Rocket (YC S16 trucking ERP) and helped Pathstream launch a B2B platform from 0-1. Prior to tech he worked in management consulting. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abashara/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9c376ce0fbd19db66106190530c91c82235a0006.jpg" }, { "user_id": 1434656, "full_name": "Josh Lampen", "title": "Founder/CTO", "founder_bio": "Josh is cofounder and CTO of Cartage. At Rose Rocket (YC S16 trucking ERP), he was a founding engineer on their Platform team, where he led the development of their first workflow engine. He was also an engineer at Together (YC S19). Prior to tech, Josh was a management consultant, and played water polo for Canada's National Team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joshlampen", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/538e12fe798236176632daab0ef4a2e99faeb3c8.jpg" } ], "jobs": [ { "id": 77197, "title": "Sales Development Representative", "url": "https://www.ycombinator.com/companies/cartage/jobs/1QP2BxS-sales-development-representative", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $90K", "equity_range": "0.30% - 0.70%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 82372, "title": "Full Stack Engineer", "url": "https://www.ycombinator.com/companies/cartage/jobs/xVIZlS8-full-stack-engineer", "location": "San Francisco, CA, US / Vancouver, BC, CA / Vancouver, British Columbia, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 87895, "title": "Autonomy Operations Architect", "url": "https://www.ycombinator.com/companies/cartage/jobs/LDjKBtk-autonomy-operations-architect", "location": "Vancouver, BC, CA / Vancouver, British Columbia, CA / San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$50K - $80K", "equity_range": "0.02% - 0.10%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 93487, "title": "Autonomy Manager", "url": "https://www.ycombinator.com/companies/cartage/jobs/u04pgWD-autonomy-manager", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "0.20% - 0.50%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116077, "title": "Growth Lead", "url": "https://www.ycombinator.com/companies/cartage/jobs/zRsevOC-growth-lead", "location": "Vancouver, BC, CA / Vancouver, British Columbia, CA / San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80K - $180K", "equity_range": "0.20% - 0.60%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Growth design" ] } ], "news": [ { "title": "Cartage secures $3.3M to support shippers and carriers with automation - FreightWaves", "url": "https://www.freightwaves.com/news/cartage-secures-3-3m-to-support-shippers-and-carriers-with-automation", "date": "Oct 10, 2024" } ], "launches": [ { "id": 83370, "title": "Cartage: Autonomous freight operations 🚚", "tagline": "Service-as-software that replaces freight brokers and logistics teams.", "body": "**_Tl;dr:_** You don’t need people to coordinate freight. We replace brokers and logistics teams, cut costs by 30%, and embed visibility into shipping.\n\n![uploaded image](/media/?type=post&id=83370&key=user_uploads/1567005/0930f62f-8507-486b-a01b-846b7bceea4e)\n\n**🫠 Problem**\\\nManufacturers and distributors in North America spend $400 billion every year on third-party vendors to coordinate freight shipments for them. These vendors are inefficient and opaque and inflate freight spend by up to 50%.\n\n![uploaded image](/media/?type=post&id=83370&key=user_uploads/1567005/029b60ed-1218-4b77-ab82-d9e67e073503)\n\n**😁 Solution**\\\nCartage is a service-as-software system that coordinates freight shipments between shippers and trucking companies. We replace freight brokers and internal logistics teams. By requiring minimal headcount to coordinate freight, we afford margins traditional vendors can’t, reducing freight costs for shippers by up to 30%.\n\nIn addition to cheaper shipping costs, we embed technology into the shipping experience, providing all stakeholders visibility and transparency on shipments.\n\n![uploaded image](/media/?type=post&id=83370&key=user_uploads/1567005/3986ca96-2699-4343-9aa8-03854af6c159)\n\n**😁 Impact**\\\nWe started by selling software to freight brokers, growing to $150k ARR in under 4 months full-time, but since pivoting to replacing brokers, we’ve received immediate love from shippers.\n\nWe’ve signed 8 shipper customers since launching in early August, and have acquired [Westcore Logistics](https://westcorelogistics.com/), [Canada’s fastest-growing logistics company](https://www.newswire.ca/news-releases/westcore-logistics-places-no-3-on-the-globe-and-mail-s-fifth-annual-ranking-of-canada-s-top-growing-companies--867532237.html) in 2023. We are on pace to coordinate more than $2m in freight shipments over the next six months.\n\n**👨‍💻 Team**\\\n[Abdul Basharat](https://www.linkedin.com/in/abashara/) (CEO) and [Josh Lampen](https://www.linkedin.com/in/joshlampen/) (CTO) were early employees at [Rose Rocket (YC S16)](https://www.roserocket.com/), a leading ERP solution for trucking companies. [Harman Sahota](https://www.linkedin.com/in/harmansahota/) (COO) founded Westcore Logistics, scaling it from 0 to $50M+ in revenue within four years.\n\nFun facts:\n\n* Abdul trained as a military pilot\n* Josh played water polo for Team Canada\n* Harman started brokering freight at 14\n\n![uploaded image](/media/?type=post&id=83370&key=user_uploads/1567005/773960d0-c363-46a0-aca9-7b09af81e61b)\n\n", "url": "https://www.ycombinator.com/launches/Lgg-cartage-autonomous-freight-operations", "votes": 47, "created_at": "2024-08-24T19:24:05.802Z" } ] }, { "id": 29805, "name": "Handled", "slug": "handled", "former_names": [ "Zimi" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a6a1e68ab0e8a242ed2d89b4af36673b59f155d.png", "website": "https://www.itshandled.ai", "all_locations": "New York City, NY, USA", "long_description": "Consumer brands run finance and operations across ERPs, commerce platforms, 3PLs, accounting systems, email, and spreadsheets. Because these systems do not share context or complete work, teams still spend hours assembling reports, reconciling numbers, entering orders, monitoring inventory, processing invoices, and chasing exceptions. Problems are often discovered only after they have cost the business time, margin, or revenue.\r\n\r\nHandled is an AI teammate for finance and operations. It connects to the systems and unstructured information a brand already uses and learns its data, rules, and workflows. Handled answers questions about the business, proactively catches issues, and takes on recurring manual work across financial reporting, inventory, procurement, wholesale order-to-cash, and AP/AR. It works across systems and brings a person in when judgment or approval is required.\r\n\r\nHandled gives lean teams more operating capacity without adding another tool to manage, more outsourced support, or more headcount.\r\n", "one_liner": "AI teammate for finance and operations teams at consumer brands", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Retail", "launched_at": 1719423480, "tags": [ "B2B", "Workflow Automation", "Logistics", "E-commerce", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Retail" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/handled", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/handled.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/itshandledai", "x_url": "https://x.com/itshandled", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/zimi-a057", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a6a1e68ab0e8a242ed2d89b4af36673b59f155d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/462a8b9cd3deca81f8820b0074b1a42819ca6efe.png" ], "primary_partner": null, "founders": [ { "user_id": 501744, "full_name": "Audrey Djiya", "title": "Founder/CEO", "founder_bio": "Audrey Djiya is the Co-Founder & CEO of Handled. Before Zimi, Audrey led projects across ops, international expansion, and GTM for e-commerce businesses like Peloton and launched fintech products to enable commerce at start-ups like Duplo (YC W23). \n\nAudrey earned her MBA from Stanford University and BA from Dartmouth College.", "is_active": true, "linkedin_url": "https://linkedin.com/in/audrey-elodie-djiya-7a7a24101", "x_url": "https://x.com/AudreyDjiya", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/87aa43ed4b0039c6a3a7aaf68c5c550108227ede.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 29963, "name": "Capitol AI", "slug": "capitol-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d21edd589862cd64f905545df119c53426538c8d.png", "website": "https://www.capitol.ai/", "all_locations": "Washington, DC, USA", "long_description": "Capitol AI is building a sovereign operating system for intelligence, designed for regulated, high-stakes institutions such as professional services firms, financial services, and government agencies. These organizations are overwhelmed by data and experimenting with generic AI tools that lack auditability, repeatability, and secure deployment. As a result, critical decisions are increasingly shaped by systems they do not fully control.\r\n\r\nCapitol runs entirely inside enterprise infrastructure and transforms proprietary data into structured, decision-grade artifacts such as due diligence reports, regulatory documentation, and executive intelligence. The platform is model-agnostic, fully auditable, and operates with no data egress, giving institutions durable control over their data, workflows, and standards.", "one_liner": "Capitol: the sovereign operating system for intelligence.", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1724724761, "tags": [ "AI-Enhanced Learning", "Workflow Automation", "Analytics", "Media", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Productivity" ], "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 you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?", "answer": "Brian Chesky encouraged us to apply. He hired Shaun at Airbnb. We wish we had done it earlier, but in some ways, the timing of this couldn’t be better. Brian believes the position we are in is very similar to Airbnb's right before they joined YC. And even similar dynamics to when Justin Kan made the last-minute referral for Airbnb’s founders (Brian, Joe, and Nate) to join YC. Going through the batch has been an incredible experience. Garry, Ooshma, and Aaron are phenomenal partners to work with and boil down opportunities and challenges to overcome to their essence. We’ve made huge strides in the batch regarding product velocity and customer acquisition. We’ve signed a $1.3m customer term sheet with one of the most influential media brands during YC! " }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "Tom and I were collaborating on Covid-19 logistics applications leveraging AI models for HHS and the US DoD and the interfaces that prime USG integrators like IBM, SAP, and Deloitte produced were unusable. We saw an opportunity to develop integration and design standards for creating intelligent content leveraging models, and Capitol AI was born. We started the company with a contract from the 2nd largest health insurer in the US to automate data storytelling for their self-insured employer business line. We approached this problem with a mix of classical and bayesian statistical analysis and automating insight generation leveraging DBT. After GPT 3.5 was released we saw an opportunity to center our product stack around LLMs. We made a pivot away from healthcare and so that we could collect user data and feedback to move the product forward as quickly as possible. We now have built a product that is in high demand we just closed a $1.3m enterprise contract, with more to come. " }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "In the future, all content and data publishers will have an AI research layer. Capitol will be the category-defining product that unlocks this transformation, creating a more useful and personalized internet." } ], "url": "https://www.ycombinator.com/companies/capitol-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/capitol-ai.json", "year_founded": 2021, "city": "Washington", "country": "US", "linkedin_url": "https://www.linkedin.com/company/capitolai/", "x_url": "https://x.com/capitolai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d21edd589862cd64f905545df119c53426538c8d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/465a03d7bd6b7776b9cae31229834db61e7d8ffe.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1614cd0180f33e702e1313ecfc979563ffa836d8.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 23932, "full_name": "Shaun Modi", "title": "Founder/CEO", "founder_bio": "Shaun Modi is the founder and CEO of Capitol AI, an infinitely smart research assistant that instantly generates high-quality content from your documents. One of the founding designers of Airbnb, Shaun has been named one of Business Insider’s Top 75 Designers in Technology. Shaun has designed software products for technology giants, the government, and its agencies, including Google, the White House, DoD, NASA, CDC, and Motorola. At Airbnb, Shaun worked side by side with CEO Brian Chesky. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shaunmodi/", "x_url": "https://twitter.com/shaunmodi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9ae194cbc0574b7170365c07d2b00ca313f7747a.jpg" }, { "user_id": 2079920, "full_name": "thomas hallaran", "title": "Founder/CTO", "founder_bio": "Software engineer and technical manager with a product mindset. Two decades of experience, including IC and Director positions in academia, venture backed startups, and the US Federal Government.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tomhallaran/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2c1845b565cbe70e5f79c64541e056727aa150fc.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83810, "title": "Capitol AI - Create powerful content from data", "tagline": "Infinitely smart research assistant + document editor that generates content from your data.", "body": "Hey! We're Shaun and Tom from [Capitol AI](https://www.capitol.ai), and we’re thrilled to announce the launch of Capitol 2.0.\n\n# **TL;DR**\n\nAfter we got into YC, we asked ourselves: “What would Microsoft Word look like if it were built in the age of AI?” Our answer: A product that seamlessly combines deep research, generative images + text, and AI-assisted editing.\n\n[**This is Capitol 2.0**](https://www.capitol.ai)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcBHZ-cSYPZzPy48Nm-rz78AXUraAmaYG7sk-AXyR5-_p4cYGaj0-5uztAEO_pXY0r56gOz_hbUB-4-rhfcnbiBW5hV-31m9crYfEFGFfPmP-Zlcm7xFLJAdQgA0njg42wh1M8cPNv84VoBlZ4LmGBRoiN3?key=F5l7R5NSBH7WxKd4nIiTpg)\n\n**The Business Problem**\n\nContent creation for business users is a slow, disjointed process involving multiple tools like search, proprietary databases, spreadsheets, slides, PDFs, and word processors. This complexity limits businesses with data-driven content creation workflows from scaling their content production and selling more products.\n\n# **Our Solution**\n\nCapitol simplifies content creation by integrating research and editing into one seamless experience—automating tasks to supercharge productivity.\n\nCapitol AI empowers enterprise customers with an API/SDK that automates the research and content creation process. It gives them the tools to personalize and scale their product offerings with less headcount.\n\n[**Watch the video**](https://www.youtube.com/watch?v=SFymrPfE-nk)\n\n# **B2B Customers**\n\n**Enterprise** \\\n[Politico](https://www.politico.com), the global authority on the intersection of politics, policy, and power has exclusively partnered with Capitol to empower all [Politico Pro](https://www.politicopro.com/) users with AI content creation for policy and regulatory analysis.\n\n**Startups & SMB**\\\nFor startups and small businesses with repeatable data-driven processes like Cloud GTM provider [Invisory](https://invisory.co/) and the innovative AI-powered grant platform [AI Grants](https://www.aigrants.app/), Capitol is automating the creation of **revenue-generating** business documents with our API-accessible artifact generation pipeline.\n\n![uploaded image](/media/?type=post&id=83810&key=user_uploads/23932/0950a826-5715-468c-b4f8-f00190aa1a77)\n\n# **Why Now?**\n\nIn a time when publishers are increasingly being courted by AI model builders for licensing deals, Capitol AI is arming the rebels—helping publishers compete for attention and grow their customer base by automating content generation from their high-value data. Capitol will be the category-defining product to unlock this transformation.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeIy5Y14hTVoYbNBzaWtye7QpqmqdiBdbKm2y2gR9eXkUoA3T5QxSunxXgkx5_xbhjBb1pvLJM8ob_XM73c0CHtCHUldMDuoFzZjctfWKOoyzJForUKh3CcS2kI8o1S3JG9TyVrGZsCgyDPF_1KpgZjniI?key=F5l7R5NSBH7WxKd4nIiTpg)\n\n# \n\n# **Tech**\n\nCapitol includes a proprietary model orchestration, eval framework, chain of thought reasoning, and RAG pipelines that work together to enable our customers to generate and iterate on content in our product or via API.\n\n# **How Capitol Works** \n\nRewrite, reformat, & transform your content\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfnE4np5a5RdEIJQCWpT_4uN5J7iIdkrQ5lgeGgyDcZp0it1eAwRI7XKVti4Kzbm_bqn_JXf39BlJhRwEvxy7vbpHSaxWiCX1Oz8KpmZzmay4tz7DXc8U_Rj5RXioSH1JxZaFSFUG-eAMK_jt0qmrLjBVkx?key=lcBvgZFvISlTTsrwNwpBug)\n\n\nType ‘/’ anywhere to generate new content in-line\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXexmXK1RLuHucEMVk-ervnI0_dyyjJCU5JvPdpOPnnBl0gi0IYBBrsNZqz5A-5gqP42_ablQrRdWE9eqlLQMxYQRIrKoTG6ew8P464tXf_Ucs9WUfYHa-kBj-RItpCXa_w7Y2BdLpyt61eVKLVfBovnl3A?key=lcBvgZFvISlTTsrwNwpBug)\n\n\nGenerate new content with a single click \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeeLUmH9cppVSN5FGD9L1TfC8X5rDCgTyhx6hunL-s1wZLSq5kPzLWvvMkPCHrupc2z3efQfrO4wFzCq4Gqq1cJ9heMp1v9XXPeChbvN2bwMfZW2vLJT8E3weKkPwtov5b1nNUQ0A21qLfTTGIrOrUUvxoE?key=lcBvgZFvISlTTsrwNwpBug)\n\n### **🙏🏽 Our asks**\n\n# **1\\. Try Capitol**\n\nHead to [www.capitol.ai](http://www.capitol.ai) and try Capitol today. \\\nGet 3 months free with the special YC discount code **FOUNDERMODE**\n\n# **2\\. Integrate Capitol Into Your Product!**\n\nCapitol’s embedded content generation will transform your application’s user experience with real-time RAG and document creation from your data. By leveraging Capitol’s API/SDK, you can drive more engagement with your product and have more time with your users. Common use cases include:\n\n* Give your users the ability to create bespoke reports and insights, pulling forward hard-to-find data\n* Turn enterprise document search into a content generation flow\n* Transforming your knowledge base or help center into a more helpful experience for your customers\n* Let your users create social media content directly on your site\n\nContact us at [founders@capitol.ai](mailto:founders@capitol.ai)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcQrF-ciwjn96Unv9Js-UbJ4o1bJLuLzP_2Ihg1yGe45RIxjluJG0mzQ2j1tweHYGwRX8UOeOBC1HGmbmqnbi_KPK-38xKhxlpp6qeBisC54g56Tj3BArNJKgZbG8VnRRkK9loy__0DHmRR_D_Gf56pMPoD?key=F5l7R5NSBH7WxKd4nIiTpg)\n\n# **Founders**\n\n* [Shaun Modi](https://www.linkedin.com/in/shaunmodi/), CEO. One of the first product designers hired at Airbnb. Worked side by side with CEO Brian Chesky crafting the user experience of Airbnb. Fmr Google, Fmr Nasa, named one of Business Insider's Top 75 Designers in Technology. BFA from RISD.\n* [Tom Hallaran](https://www.linkedin.com/in/tomhallaran/), CTO. Fmr Director US AI Center of Excellence, Fmr VP of engineering at acquired adtech startup Selectable Media, Initial technical lead and architect of the largest political payment app in US. Undergrad from Columbia.\n\n[X](https://x.com/usecapitol), [Linkedin](https://www.linkedin.com/company/capitolai/), [Instagram](https://www.instagram.com/capitol.ai/)", "url": "https://www.ycombinator.com/launches/Lnm-capitol-ai-create-powerful-content-from-data", "votes": 68, "created_at": "2024-09-06T04:52:46.055Z" } ] }, { "id": 29965, "name": "Formula Insight", "slug": "formula-insight", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d24f87db5131a298b5fd35aba59870c07522d6f.png", "website": "https://www.formulainsight.io/", "all_locations": "New York City, NY, USA", "long_description": "Formula Insight offers Institutional Investors previously inaccessible data. We provide a central repository of financial models so investors can track changes to forecasts, quantify projection accuracy and expedite analysis. This further systematizes the investment process and enables better investment decisions.", "one_liner": "Help Institutional Investors manage, track & query their Excel models", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1721802502, "tags": [ "Fintech", "SaaS", "B2B", "Workflow Automation", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/formula-insight", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/formula-insight.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/formula-insight/", "x_url": "https://x.com/FormulaInsight", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d24f87db5131a298b5fd35aba59870c07522d6f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 2084024, "full_name": "Will Tong", "title": "Founder/CEO", "founder_bio": "Co-Founder and CEO of Formula Insight. Will brings a decade of financial expertise to the role. He spent the past 4 years in public equities investing, most recently managing a healthcare equities portfolio at Citadel. In 2022, Will distinguished himself as a top 5 equity analyst within Citadel's Global Equities division.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/will-tong-04046a162/", "x_url": "https://x.com/yingertong", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ea8aeb942c82947344c2ef87f60ddadcaab08f21.jpg" }, { "user_id": 550721, "full_name": "Stefan Raghavan", "title": "Founder/CTO", "founder_bio": "Co-Founder and CTO at Formula Insight. Background in building complex engineering systems, specializing in rockets and drones, most recently at SpaceX and Zero Aviation.\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stefan-raghavan-957204a1/", "x_url": "https://x.com/stefanraghavan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a9fa9d5dddf245fe63fd1cc7a2ae1a6cadf6355.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85848, "title": "Formula Insight: An Equity Research Platform that Analyzes Complex Excel Models", "tagline": "Expedites research by providing analysis in minutes to help investors gain an edge in the public markets.", "body": "**tl;dr**\n\nAt Formula Insight, we’re launching our new equity research platform. It’s integrated with FactSet data and designed by a former Citadel investor and SpaceX engineer. Institutional investors use spreadsheets to manage billions of dollars for investments. However, key insights are lost when connecting the dots between complex Excel financial models with millions of cells and across hundreds of SEC filings, management transcripts, and research papers. \n\nFormula Insight expedites the research process by analyzing these critical documents in minutes to help investors gain an edge in the public markets.\n\n\n\n**The Problem**\n\nFinancial models in Excel are the backbone of every investment thesis. Still, the workflow between financial model analysis and other key research documents has been separate. Critical details are missed when drawing inferences between Excel data and paper documents, and the work to build the fact pattern for investment decisions is inefficient.\n\n**The Solution**\n\nUsers can accurately search through millions of cells and build the fact pattern within internal financial Excel models, all down to granular KPIs for custom benchmarking. They can also plot financial projections against consensus estimates and draw inferences across hundreds of documents, including transcripts and filings. All answers have source document references and are housed within a secure environment, ensuring that sensitive information remains protected.\n\nSign up [here](https://fwotrcm808u.typeform.com/to/cYqIrmWn) to get access.", "url": "https://www.ycombinator.com/launches/MKe-formula-insight-an-equity-research-platform-that-analyzes-complex-excel-models", "votes": 11, "created_at": "2024-11-28T16:30:35.284Z" } ] }, { "id": 30075, "name": "Tiny", "slug": "tiny", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc7095317389a5c68c0c208c8ea8d41d1ba3ad7c.png", "website": "https://andtiny.com", "all_locations": "Singapore, Singapore; Remote", "long_description": "At Tiny, we’re building a new kind of ERP system for factories where AI agents automate repetitive workflows. Made for the four million factories still primarily relying on Excel. LLMs now unlock their troves of siloed unstructured data. We see a massive opportunity to build a compound startup and, beyond that, tap into network effects to unlock just-in-time manufacturing across entire supply chains.", "one_liner": "A new kind of ERP system for factories", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1731209249, "tags": [ "SaaS", "B2B", "Workflow Automation", "Manufacturing", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "Singapore", "Southeast Asia", "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/tiny", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/tiny.json", "year_founded": 2024, "city": "Singapore", "country": "SG", "linkedin_url": "https://www.linkedin.com/company/and-tiny", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/tiny-6bbb", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc7095317389a5c68c0c208c8ea8d41d1ba3ad7c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2234606, "full_name": "Edward Zhang", "title": "Founder/CTO", "founder_bio": "Ed is the CTO and co-founder of Tiny. Previously, he led the scaling of Apple’s Services API gateway from the ground up. Before that, he was a full-stack engineer at SaaS companies such as Zenefits and Addepar. He holds a B.S. in Computer Science from Carnegie Mellon University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edward-zhang-14685828/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fbc81ec23b4099b16cd6db20f3a70e20c67dea6e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85625, "title": "Tiny - Rippling for factories", "tagline": "A new kind of ERP system for factories.", "body": "# **TL;DR**\n\nAt [Tiny](https://andtiny.com/) we’re building a compound startup like [Rippling](https://www.rippling.com/) for factories. Our mission is to provide factories with a single, cohesive platform to track and manage the full lifecycle of a manufactured item across every department in their organization.\n\n\n\nWe’re already working with several factories in Indonesia, Vietnam, and India, focusing on suppliers in the automotive and electronics industries.\n\n# **The Problem**\n\nMany factories are trapped in a web of disjointed spreadsheets and partially integrated tools, requiring costly manual data re-entry at nearly every stage—unless they can afford to spend over $1M on an ERP solution like SAP. This fragmentation leads to poor visibility into true costs and inventory, resulting in over-ordering of materials and dead stock of manufactured goods.\n\n# **The Solution**\n\nTiny is a ground-up reimagination of cumbersome traditional ERP software. Factories now have an intuitive user experience that leverages live collaborative editing to get everyone working together seamlessly, with a workflow engine that assigns tasks to the right person at the right time. Furthermore, as we expand our platform, we plan to automate repetitive tasks, thereby reducing costs and unlocking valuable insights by unifying sales, procurement, and production processes—all within a single system.\n\nCurrently, we’ve started at the very beginning of the order lifecycle: the quotation process. Our first module empowers sales and engineering teams to respond to customer inquiries faster and more accurately. The foundation of this module—the workflow engine, the lightweight CRM, and the item library—are shared in the upcoming procurement and production modules, resulting in deep integration and a seamless experience for our customers.\n\nThe foundation we’ve built is a fully collaborative object graph with real-time computations, plus a truly novel form input framework including automatic object syncing and interactive audit logs, on top of durable workflow execution that enables us to customize workflows extremely efficiently. Thanks to this foundation, we are uniquely positioned to unlock never-before-seen, truly interactive collaboration with AI agents.\n\n# **About Us**\n\nWe’re [Louis](https://www.linkedin.com/in/ldevalliere) and [Ed](https://www.linkedin.com/in/edward-zhang-14685828/), co-founders who have known each other for over a decade. We were roommates in San Francisco and previously collaborated at Addepar, developing wealth management software, and at Zenefits, building benefits and payroll solutions. Before founding Tiny, Louis served as VP of Design at BitGo, and Ed led the scaling of Apple’s Services API gateway from the ground up.\n\n# **How You Can Help**\n\nWe’d love introductions to anyone connected with factories who might benefit from a more streamlined, cost-effective solution.\n\n![uploaded image](/media/?type=post&id=85625&key=user_uploads/89898/57d5d166-e0c1-4aa8-b796-927ab003ce9d)\n\n", "url": "https://www.ycombinator.com/launches/MH3-tiny-rippling-for-factories", "votes": 46, "created_at": "2024-11-17T19:31:27.657Z" } ] }, { "id": 30090, "name": "Origami", "slug": "origami-2", "former_names": [ "Charm", "origami", "Origami", "Origami Agents" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90a150650f55581e2db5d27ee09895ea19f1d1a7.png", "website": "https://origami.chat/", "all_locations": "San Francisco, CA, USA", "long_description": "Origami is the first AI that automatically gets customers for you. Enter your domain, and let it start working.\r\n\r\nUsed daily by 10,000+ businesses, Origami gets smarter everyday - learning from your campaigns to find better buyers and drive more revenue for you. On average, customers get 3-6x more positive replies than traditional outbound.\r\n\r\nOrigami combines Outbound, Lead Generation, Website Visitors Identification, Viral Content & more, starting at $29/month.", "one_liner": "Enter your domain & Origami gets you customers.", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1731183180, "tags": [ "Workflow Automation", "Sales", "Search" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/origami-2", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/origami-2.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/origamiagents/", "x_url": "https://x.com/fin465", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/origami-agents", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/90a150650f55581e2db5d27ee09895ea19f1d1a7.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": 713453, "full_name": "Finn Mallery", "title": "Founder/CEO", "founder_bio": "Find your perfect customers with a prompt, start free → origami.chat", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/finn-m/", "x_url": "https://x.com/fin465", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0d2b2bbc262de4cd6ba4c89d37a9e3140e7b3a8.jpg" }, { "user_id": 1856165, "full_name": "Kenson Chung", "title": "Founder/CTO", "founder_bio": "Former CTO of an enterprise sales platform. Engineered research workflows used by sales teams at companies with $1B+ in revenue. CS dropout from UCL.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kenson-chung-837849230/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/01b96ddb8847e1e589d914149f38079a02f04640.jpg" } ], "jobs": [], "news": [ { "title": "Y Combinator’s hottest startup, Origami Agents, secures $2M seed round to supercharge sales teams with AI | VentureBeat", "url": "https://venturebeat.com/ai/y-combinators-hottest-startup-origami-agents-secures-2m-seed-round-to-supercharge-sales-teams-with-ai/", "date": "Jan 24, 2025" } ], "launches": [ { "id": 85537, "title": "Origami 🕊️ — Find who's looking", "tagline": "AI agents that find you companies actively searching for your solution", "body": "Hi everyone, we’re [Finn](https://www.linkedin.com/in/~finn/) and [Kenson](https://www.linkedin.com/in/~kenson/) - cofounders of Origami.\n\n### TL;DR\n\nWe train AI research agents to help you find leads at the point of maximum buying intent. Our agents scour the internet to surface the 99% of insights that exist beyond structured databases for you.\n\n\n\n### The problem: outbound sales in 2024 is broken\n\nResponse rates have hit rock bottom and quotas are going unmet while companies continue bombarding prospects pulled from the same databases with the same signals.\n\nThey're missing the one thing that matters most: reaching buyers when they're ready to purchase.\n\n### Our solution: Agents scouring the web to find you interested buyers\n\nAt our last companies, we solved this by building AI agents to make sense of niche sources — product reviews, google activity, linkedin engagements, and dozens of others. This immediately became the biggest lever of customer success.\n\n![uploaded image](/media/?type=post&id=85537&key=user_uploads/713453/a357b0d1-a22c-4eee-b08d-7a5ff25feeba)\n\nWe’re realizing the power of the entire internet’s unstructured data by building a generalized solution any company can make use of. Our agents work around the clock to spot high-potential buyers, providing actionable, human-like insights for each one.\n\n### We’ll find you buyers!\n\nThere’s enough information on the internet to know who already wants your solution, let Origami help you find it: [origami.chat](https://origami.chat)\n\nCan’t find time or have a question? Reach out to [finn@origamiagents.com](mailto:finn@origamiagents.com)\n\nSee our other launches on [X](https://x.com/fin465/status/1856774380233396309) and [LinkedIn](https://www.linkedin.com/feed/update/urn:li:activity:7262544301073530880/).", "url": "https://www.ycombinator.com/launches/MFd-origami-find-who-s-looking", "votes": 94, "created_at": "2024-11-13T17:43:00.486Z" } ] }, { "id": 30205, "name": "Scout", "slug": "scout-4", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e9b6cad93f23ac155f617f2d95c1556389ee69e1.png", "website": "https://scoutforschools.com/", "all_locations": "New York City, NY, USA", "long_description": "The student information system (SIS) is the core system of record in every K-12 school. It tracks students, attendance, grades, schedules, staff, and more - kind of like the ERP for schools.\r\n\r\nLegacy SIS providers do just about that, and not much more. School districts layer dozens of tools on top of their SIS to fill in the gaps.\r\n\r\nScout is an AI-powered student information system that automates school- and district-wide busywork, from day-to-day operations like attendance tracking to annual compliance reports. Our mission is to help school districts run like high-performing organizations, enabling them to provide high-quality, personalized instruction to every student.", "one_liner": "AI-powered student information system for K-12 schools", "team_size": 8, "industry": "Education", "subindustry": "Education", "launched_at": 1737960750, "tags": [ "Education", "Workflow Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Education" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/scout-4", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/scout-4.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/scout-edu", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e9b6cad93f23ac155f617f2d95c1556389ee69e1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b59665cd30e487b8a4a97f4a7218381859d120bc.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1495921, "full_name": "Noah Fichter", "title": "Founder/CEO", "founder_bio": "Building the next generation of digital infrastructure for America's schools", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/noah-p-fichter/", "x_url": "https://x.com/foahnichter", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2801d7de018835906ceeea4645ea03bc7ff7cb65.jpg" }, { "user_id": 502779, "full_name": "Max Bertfield", "title": "Founder/CTO", "founder_bio": "Building software for educators", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maxbertfield/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ddb9eb905c7decae4e64d6d91e6a3f8afac5c28f.jpg" } ], "jobs": [ { "id": 99645, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/scout-4/jobs/bPZHexz-software-engineer", "location": "New York City, NY", "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": 99646, "title": "Customer Success Manager", "url": "https://www.ycombinator.com/companies/scout-4/jobs/5XFiwpv-customer-success-manager", "location": "New York City, NY", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$75K - $150K", "equity_range": "0.10% - 0.25%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87832, "title": "Scout 🐙 The AI-powered student information system that schools actually enjoy using", "tagline": "We automate schools' back-office compliance tasks, enabling them to function as high-performing organizations", "body": "**TL;DR:**\n\nThe core system of record in education -- the student information system (SIS) -- is broken. Schools run all of their software on top of it, but most teachers and administrators avoid using their SIS as much as possible. Traditionally, the SIS has been a database with a UI, but we believe that the SIS of the future will be providing “compliance-as-a-service”, handling every administrative task schools have to deal with, so educators at every level can focus on optimizing instruction.\n\n[Demo](https://www.loom.com/share/584f0389606f4b88841efcce59df740c?sid=9e5b78bd-fc67-4341-a299-7d86bb699c16)\n\n**Automated Compliance 💫**\n\nBy law, schools have to collect and report mountains of data. It takes large teams of people a ton of time to ingest, validate, audit, and report data to the government. They develop their own manual pipelines to try to improve these processes, but there’s no unified pipeline, and it often involves several rounds of manual auditing to make sure the data is accurate.\n\nEven with all of these redundant checks, these are manual processes, and schools make mistakes. When the annual audit comes around, schools lose funding for every mistake - and it can come out to hundreds of thousands of dollars in losses.\n\nScout automates the entire school compliance pipeline, from data ingestion to internal audits to government reporting. Our AI agents use drip campaigns to remind parents and students to submit documents, we continuously monitor all data for compliance throughout the school year, and Scout’s end-to-end reporting features compress reporting from a month-long process to something that can be done in a few hours.\n\n**AI-powered outreach**\n\nOne of the biggest time-sinks in compliance is that teachers need to constantly reach out to families for data and documents, track submissions in spreadsheets, continue to follow-up until everything’s been submitted, and then manually validate each document, starting the whole cycle again if something’s invalid. We’ve heard some teachers refer to themselves as “professional nags”.\n\nOther industries that are outreach-heavy have already solved this problem. For example, HubSpot has solved this for sales by automating follow-ups until prospects respond.\n\nScout treats each student like a customer in a CRM: students moves through a variety of funnels, from annual tasks like enrollment and re-enrollment to daily tasks like tracking attendance or engagement with online curriculum providers. Scout’s built-in drip campaigns make sure students and parents complete tasks without teacher or administrator involvement, only flagging the students who need attention and removing the burden on schools to manually track all of these funnels.\n\nScout’s AI agents automatically reach out to parents and students via phone, email, text, and the Scout mobile app to get them to fill out forms, upload documents, mark excused absences, and more.\n\n![uploaded image](/media/?type=post&id=87832&key=user_uploads/1495921/093d586b-f015-49f7-8bae-ef39d01de1ce)\n\nRight now, schools put multiple levels of compliance checks in place to make sure that submitted documents are valid. To reduce the number of humans that need to check over each document, Scout proactively scans every document for compliance on ingestion, highlighting exactly what’s wrong and how to fix it. With Scout, schools reduce the possibility for human errors while avoiding the back and forth that comes with invalid documentation.\n\n![uploaded image](/media/?type=post&id=87832&key=user_uploads/1495921/4b705cad-b848-44fb-bf55-4d6530b68add)\n\n**24/7 internal audits**\n\nThroughout the course of the school year, Scout monitors every dimension of compliance, highlighting only the items that need attention. With Scout, schools can shift their mental model from checking every single document and database row for compliance to only looking at the ones that are out of compliance - saving as much as 95% of the time they spend on compliance tasks.\n\n![uploaded image](/media/?type=post&id=87832&key=user_uploads/1495921/1b4e76e6-86cd-49fe-943b-64a4f0f655c4)\n\n**End-to-end government reporting**\n\nThroughout the school year, California schools need to report information to a number of state and federal bodies, including the California Department of Education (via a number of systems like CALPADS, PADC, and ConApp), and the federal Department of Education’s Office of Civil Rights. These reports often take weeks to compile, because data errors aren’t discovered until submission, and understanding exactly what’s wrong and how to fix it is an extremely time-consuming process. Current SIS providers don’t report directly to the state, so schools are exporting CSVs, and their edits aren’t reflected in the SIS.\n\nScout manages the reporting process end-to-end with proactive error discovery, a step-by-step error resolution flow, and automated submission without leaving the page.\n\n![uploaded image](/media/?type=post&id=87832&key=user_uploads/1495921/344b8853-ec8c-451d-84c0-6e95c6ee5cc4)\n\n# **Our team** 🤼\n\nNoah (CEO)\n\n* coding since 12 years old, started his first company at 17 selling licenses to a sneaker bot (500K ARR)\n* first engineer at Slash (S21), where he worked for 3 years, bringing dozens of products and features from zero to one\n* degrees from UMD in CS and education policy\n\nMax (CTO)\n\n* coding since 13 years old, early eng at a number of startups\n* led a product/engineering team at TodayTix for 4 years\n* CS degree from UCL\n\nWe met on the first day of high school in 2013, and we’ve been best friends ever since, hacking on side projects like sneaker bots throughout high school and college.\n\n![uploaded image](/media/?type=post&id=87832&key=user_uploads/1495921/88c7fa91-cb9b-4202-af7b-12f5b1f930cc)\n\n# **Our ask** 🙏\n\nIf you know anyone who works at a school district or charter school in California, particularly if they oversee compliance/reporting/other administrative tasks, please send them this post or connect us!\n\nIf you’d like to see a demo of Scout, send me an email at noah@teachwithscout.com. Thanks!", "url": "https://www.ycombinator.com/launches/Mqe-scout-the-ai-powered-student-information-system-that-schools-actually-enjoy-using", "votes": 31, "created_at": "2025-02-19T21:09:18.432Z" } ] }, { "id": 30253, "name": "Finbar", "slug": "finbar", "former_names": [ "finbar" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/79a24ae2dbf8c5f1b06b70c124868d6c9383b535.png", "website": "https://finbar.com", "all_locations": "London, England, United Kingdom", "long_description": "Finbar is high-quality financial data and intelligence, used by several of the world's largest hedge funds. It automates financial modelling, research, and data analysis so multi-million-dollar decisions can be made 100x faster.\r\n\r\nFinbar maintains its own dataset of worldwide company filings, presentations, transcripts, and more, delivering clean data from these fundamental sources within minutes of release. This data is available via web, Excel add-in, API, and MCP. \r\n\r\nOur services include: company primers and prebuilt models; AI tools for analysts to create their own research; Excel tools to build financial models in minutes and update them in seconds; API streams to integrate our worldwide data into any programmatic or agentic system.", "one_liner": "Financial intelligence for every investor", "team_size": 4, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1736618357, "tags": [ "Documents", "Fintech", "Finance", "Workflow Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United Kingdom", "Europe" ], "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": "Edward & Robin have been friends for more than half their lives: King’s Scholars at Eton, undergrads at Oxford, roommates in London. Edward founded **finbar** in 2023 as a solution to the time-consuming ‘grunt’ work of his former hedge fund role, and wrote most of the MVP up to first revenue. Robin joined in 2024 to take the lead on software dev as CTO." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "A huge amount of the financial industry still runs on manual data input: thousands of workers whose job is simply to copy data from documents, build historical time series, and update models by hand. We leverage cutting-edge tech to finally automate this process, delivering more data, faster, and with much lower cost overhead." } ], "url": "https://www.ycombinator.com/companies/finbar", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/finbar.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://linkedin.com/company/fin-bar", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/79a24ae2dbf8c5f1b06b70c124868d6c9383b535.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2312013, "full_name": "Edward Huang", "title": "Founder/CEO", "founder_bio": "Founder and CEO at finbar. I wrote most of the MVP but now focus product and sales.\nPreviously I was a hedge fund analyst, and before that at Goldman Sachs. CFA charterholder. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edward-huang-cfa-8807b4149/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/399ff5e879c7c3d086da13fd0c42dc562c78e7ae.jpg" }, { "user_id": 2375293, "full_name": "Robin Gan", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at finbar.com.\n\nPrevious to this I worked on a globally deployed cloud-native banking platform at Thought Machine.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robin-gan-180060126", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/256b9b1bb75fa062939d144d53615bd17eec89c2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 117886, "title": "Finbar: Financial intelligence for every investor", "tagline": "Financial data and AI tools trusted by the world's largest hedge funds", "body": "**Finbar is financial data and intelligence for the AI age.**\n\nWe’re super excited to announce our first public launch. Give us a go if you’re interested in: worldwide company fundamental data (incl. via API/MCP), AI tools for data analysis and investment research, prebuilt models, an Excel add-in for building + updating custom models, and more.\n\n**Get started at [https://finbar.com](https://finbar.com).** Read on if you're interested in how we're differentiated, and why some of the biggest investors in the world rely on us for their research processes.\n\n\n\n**---**\n\nHi! Ed and Robin here, here to announce the first general availability of Finbar. **Our mission is to give every investor (and agent) the best data and tools to conduct high-quality financial research.**\n\n_A brief recap of our journey_. We started with a single product - **reliably updating any financial model within 5 minutes of market release, without any mistakes**. Seems niche? It was - but it meant we could truly stand out to customers, solving a real burning problem that those who haven't worked in hedge funds just don't really 'get'. Over Q2 earnings season, we handled 150,000 model updates, meaning our clients (including several of the world's largest hedge funds) could go into every market-open with all of their models ready.\n\nDeveloping this product turned out to be a problem that seemed simple but actually was fiendishly difficult (not least for the data reasons discussed below). Doing so, however, has meant building some truly unique financial data and infrastructure, which we've since deployed in many other products - and now available to all investors.\n\nTwo key parts to what we do:\n\n**I. We're building the best fundamental financial dataset**\n\nUnderlying everything is our proprietary data. **We collect and ingest millions of documents across thousands of companies worldwide**: reports, presentations, transcripts. You might be surprised this is not a solved problem already. But almost all providers lack at least one of: a) breadth, b) quality, and/or c) speed. All three have been necessary to serve our clients, hence the need to build our own. And yes, we're including players like Factset, S&P and Bloomberg in this (we're often explicitly evaluated against them by our institutional clients).  \n\nSome snippets to illustrate the point:\n\n    1) _The most important fundamental datapoints are often not in 10Qs/10Ks, and rarely in a fully-structured format._ Think segment organic growth in presentation charts, conference call remarks on forward guidance, Pillar 3 banking disclosures, and a million other company-specific datapoints.\n\n    2) _>1/2 of our customers invest outside of the US._ International markets have much less structured data availability than the US, often not even a central repository, and it is where arguably there is more edge from strong fundamental data (these two facts may well be corollary)\n\n    3) _Financial data is exceptionally messy on the tail end_ - which is often also where the insights live. Understanding nuances around restatements, accounting regime changes, mergers and divestments, and all the other insane things companies do to produce messy data (sometimes on purpose) is bread-and-butter in our design. It causes many nights of hair-pulling but is the only way to actually produce great data that investors trust.\n\n**II. We're building the best financial toolkit for the AI age**\n\nUpon this data foundation is a whole range of Finbar products, built on the knowledge and experience of what professional investors actually need. This includes:\n\n* Machine-readable versions of millions of worldwide company documents\n* Fundamental time-series and datapoints on thousands of line items\n* Company primers and financial metadata\n* Prebuilt public company model XLSXs\n* A web platform for AI-automated financial data analysis, modelling, and report-writing\n* An Excel add-in to update any analyst model in seconds, and build any custom model in minutes\n* MCP and APIs to expose our fundamental data to programmatic and agentic users\n\nAnd we already have a long list of items in development with institutional partners, including macro data, supply chains, newsflow, privates and more.\n\n\\---\n\nThere’s still so much more we’ve got planned, but we’re genuinely so excited to start giving every investor the tools they need to make intelligent decisions in the AI age. So thanks for reading, and **head to [https://finbar.com](https://finbar.com) to try us out**. We’re looking forward to your thoughts!", "url": "https://www.ycombinator.com/launches/UfO-finbar-financial-intelligence-for-every-investor", "votes": 3, "created_at": "2026-10-01T14:29:23.427Z" }, { "id": 87042, "title": "finbar: your AI financial data analyst", "tagline": "Eliminate manual data entry. Update financial models in seconds.", "body": "Hi! We’re Ed and Robin, the founders of [finbar](https://finbar.com/).\n\n**Our summary**: **too many analysts across finance still rely on manually collecting and compiling data for their models - we’re here to completely automate that process.** \n\nSeveral multi-billion AUM hedge funds already use us for exactly that - but if you work with financial data in any capacity, we want to help!\n\n# finbar\n\n1. Automatically extracts and compiles data from thousands of companies globally, public and private\n2. Gives analysts tools to easily explore and reshape data for their own use cases\n3. Provides powerful automation to update models with new data in seconds\n\n**If you’ve ever spent hours copying data from a bunch of PDFs into a spreadsheet, you understand the core problem we solve!**\n\n![uploaded image](/media/?type=post&id=87042&key=user_uploads/2312013/e56da6c5-76fa-44d5-b30b-94aaedec850c)\n\n**Why can we do this better than others?** Financial data is inherently very messy – we’ve spent more than a year building a highly bespoke pipeline geared for financial data: numeric algorithms, text processing, OCR, LLMs, and more. This means in minutes we can provide complete series data from any set of documents: PDFs, Excels, websites, scans, etc.\n\nWe also understand the financial domain intimately well – our starting point has always been to build something that would have saved us hours per day as hedge fund analysts.\n\n![uploaded image](/media/?type=post&id=87042&key=user_uploads/2312013/d80aa23d-1e53-448f-8f0b-f6c2b7d47171)\n\n**Want to learn more?** [**Watch a full demo here!**](https://www.youtube.com/watch?v=DGh_3TDVb4M)\n\n**If you spend time working with financial data in any field, we believe we can save you valuable time.** We’re live with several multi-billion AUM hedge funds but are also very interested in speaking to anyone in banking, research, PE, VC, accounting, or corporate. We’d love to help you!\n\n**Head to **[**https://finbar.com/about**](https://finbar.com/about)** to request a trial – or reach out directly to **[**ehuang@finbar.com**](mailto:ehuang@finbar.com)**!**\n\n# About us\n\n**Ed** was a hedge fund analyst at Balyasny, and before that was at Goldman Sachs. He solo-founded finbar up to first revenue and now leads product and commerce. He is a CFA charterholder.\n\n**Robin** was a software engineer at Thought Machine, working on a globally deployed cloud-native banking platform. He now leads the finbar tech effort.\n\nWe’ve been close friends for 13 years, through school, then Oxford, then as roommates in London – and of course now as co-founders!\n\n![uploaded image](/media/?type=post&id=87042&key=user_uploads/2312013/e2bf30db-5b91-4870-99c5-7725c2baee31)\n\n Thanks for reading - happy modeling!", "url": "https://www.ycombinator.com/launches/Mdu-finbar-your-ai-financial-data-analyst", "votes": 33, "created_at": "2025-01-22T15:11:23.913Z" } ] }, { "id": 30319, "name": "Corsair", "slug": "corsair", "former_names": [ "Demeter" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/669230895e9a350309e4b696d01d846593838da1.png", "website": "https://www.corsair.dev", "all_locations": "New York City, NY, USA; Remote", "long_description": "Corsair connects your app to any other API. \r\n\r\nUse Corsair to build custom agents, dashboards, and workflows with hundreds of different integrations. \r\n\r\nGet started here: https://docs.corsair.dev/quick-start", "one_liner": "OpenRouter for Integrations", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1739227592, "tags": [ "Developer Tools", "B2B", "Workflow Automation", "Open Source", "Personalization" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "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/corsair", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/corsair.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/corsairdev", "x_url": "https://x.com/corsairdotdev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/corsairdev/corsair/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/669230895e9a350309e4b696d01d846593838da1.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": 932430, "full_name": "Dev Jain", "title": "Founder/CTO", "founder_bio": "CEO of Corsair. We're building the TypeScript integration framework. \n\nBefore launching Corsair, I was a software engineer at Curri (S19). I went to UT Austin and studied mechanical engineering & economics 🤘", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/devrjain/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b86a18146f5802f843731f5c00107bd39466c6d7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 112352, "title": "Corsair: Connect your users to their apps", "tagline": "10k GitHub stars, 200+ integrations: Open-source integration layer for agents and product UIs.", "body": "Corsair is a fully-featured product integration platform with a seamless DX. Build anything, from an agent working across all your integrations to a multi-tenant dashboard for your users to connect to anything.\n\n[Website](https://corsair.dev) | [Discord](https://discord.gg/uNgCP3mSzU) | [X](https://x.com/corsairdotdev) | [Cal](https://cal.com/dev-jain-ar3ec6/15min)\n\nMost agent integration tools are MCP-only. **Corsair is built on a REST API**, so the same layer works for agents, backend jobs, and the dashboards your customers actually use.\n\nClosed integration platforms keep your users' tokens on infrastructure you can't inspect or leave. **Corsair is open source**. Self-host it, or use Corsair Hub if you want us to handle OAuth and webhooks. Your data remains yours either way.\n\nThe more third-party APIs your product touches, the more glue code you write. **Corsair gives every integration the same syntax**, and we maintain the adapters behind it.\n\n**Here's how we use Corsair internally**: a GitHub clone wired up through the Corsair SDK. The UI was vibe-coded in an afternoon. All of it runs on the Corsair SDK.\n\n\n\n**How we can help you**: If you're stuck writing integrations or your current provider holds your customers' data on servers you don't control, reach out. We'll help you set up Corsair, open a Slack channel for support, and build any integrations you're missing.\n\n[Get started at corsair.dev →](https://corsair.dev)\n\n![uploaded image](/media/?type=post&id=112352&key=user_uploads/932430/529a4c94-03c1-4f1a-aa35-eceb39742401)\n\n", "url": "https://www.ycombinator.com/launches/TE8-corsair-connect-your-users-to-their-apps", "votes": 1544, "created_at": "2026-08-27T20:55:14.055Z" } ] }, { "id": 30340, "name": "TamLabs", "slug": "tamlabs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/34b8a98c2f9db316565bd733e8ce6e18bca1bb3b.png", "website": "https://tamlabs.ai", "all_locations": "San Francisco, CA, USA", "long_description": "TamLabs agent teams deliver professional work products with speed and precision.", "one_liner": "Agent teams for complex work", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1740176772, "tags": [ "Finance", "Workflow Automation", "Legal", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "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/tamlabs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/tamlabs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tamlabs", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/34b8a98c2f9db316565bd733e8ce6e18bca1bb3b.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": 2271465, "full_name": "Joshua Doolan", "title": "Founder/CEO", "founder_bio": "Founder & CEO at TamLabs (W25). Previously, Blackstone Data Science, deployed AI solutions across PE portfolio and led data science diligence for PE. Harvard AB/SM in Computer Science, focus in AI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joshua-doolan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e1bc8f61814e07251588f88fb46036f2d8aae3f.jpg" }, { "user_id": 2271471, "full_name": "Ben Doolan", "title": "Founder/COO", "founder_bio": "COO & Co-Founder at TamLabs. Worked across private equity, consulting and policy. Studied physics and classics at Georgetown. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ben-doolan-66aa64204/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1c5af637d92d41111507e191aa357615682cd624.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30554, "name": "Bond", "slug": "bond", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4056bd531497eb8c59fcb550011c9196adad6a6.png", "website": "https://www.bondapp.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Bond is an AI Chief of Staff that gives CEOs and busy executives real-time visibility into what’s happening across the company and tells them what to focus on. Saving execs 10+ hours a week.\r\n", "one_liner": "Your AI Chief of Staff", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1748290714, "tags": [ "B2B", "Workflow Automation", "Productivity", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Productivity" ], "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/bond", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/bond.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/thebondapp", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4056bd531497eb8c59fcb550011c9196adad6a6.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/71/1749668262-079aeb7ddfc76381b2310a86d05f1a3d/a65d1e6ad874f0e63ffbc79d4fec7127.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022728Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=a4584098c03afd725340343a78a401ab4b21629fc94858b308ef1a6c74da0ae1", "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8734accc3aad442ace78e3962c11306987cac677.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4a0389a915e124bd0d189f7ed59d34504bf649ec.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 959902, "full_name": "Chloe Samaha", "title": "Founder/CEO", "founder_bio": "Building the world's best AI Chief of Staff. Occasional skydiver, tennis, and guitar player.\n\n ", "is_active": true, "linkedin_url": "https://linkedin.com/in/chloesamaha/", "x_url": "https://x.com/bondwithchloe", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/03703cf396396a983c5807ab77af5eedb1c8b833.jpg" } ], "jobs": [ { "id": 99329, "title": "GTM/Customer Success Lead", "url": "https://www.ycombinator.com/companies/bond/jobs/heVAbp8-gtm-customer-success-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$80K - $120K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 90815, "title": "BOND: AI Chief of Staff for CEOs and busy execs ⏳", "tagline": "Eliminate pointless meetings and save 10+ hours a week. ", "body": "Hey YC! 👋\n\n**TL;DR**\\\nBOND plugs into your tools (Slack, Jira, Notion, GitHub, Salesforce, etc.) to give CEOs real-time visibility on the metrics that matter and pings you when risks, blockers or wins appear. No more status-update meetings or scrambling for information. \\\n\\\n\\*\\*Save 10+ hours and thousands of dollars a week.\\*\\*\\\n[https://youtu.be/CWE6AkaOn9M?si=C77jXfWiYqcAWFAp](https://youtu.be/CWE6AkaOn9M?si=C77jXfWiYqcAWFAp%5C)\n\n⚠️ **The Problem**\n\n* **Data fog:** At 30 employees, you juggle 5+ tools that don’t talk to each other; by 100, it’s 20 tools…eventually, visibility vanishes as you scale.\n* **Hunting answers:** Every question spawns meetings, email chains, or Slack searches. 10 people pause work just to pull reports.\n* **Missed moments:** No real-time insight means lost chances to unblock projects or close deals…you’re stuck in reactive fire drills.\n\n\\\n**🛠️ Meet BOND: Your AI Chief of Staff**\n\n* **Ask Donna Anything**: A chatbot that has the answers to all of your questions. Your single source of truth across every tool in your stack.\n* **Presidential Brief**: Each morning BOND sends a one-page snapshot via Slack or email: what moved, who’s blocked, and your top 3 priorities. No more all-hands, just the intel you need to start your day.\n* **Live Dashboard**: Central view of KPIs, project statuses (with owners), and team capacity.\n* **Pattern Radar**: Automated alerts on stalled projects, team overload, churn spikes, and outliers.\n\n ![uploaded image](/media/?type=post&id=90815&key=user_uploads/959902/c1e5b82f-7386-4575-9bfd-94a2a75ad052)\n\n\n**🌟 Why We Built It**\\\nAfter 2,000+ interviews with CEOs, CoSs and execs, one insight stood out: knowledge management is broken. \n\nWith LLMs and vector search, we finally have the tech to tear down the data silos, and KILL the data fog.\\\n\\\n\\*\\*We’re on a mission to collapse management layers and help companies ship 1000x faster.\\*\\*\\\n\\\n**🔐 Enterprise Ready**\\\nYour data is safe. SOC II and more provided by [Probo (YC X25)](https://www.ycombinator.com/companies/probo)\\\nBOND runs inside your infra, so your data never leaves your walls. **\\\n\\\n🏁 Start Today\\\nReady to get your sh\\*t together? We have limited pilot spots.\\\n✉️ Email: [founders@bondapp.io](mailto:founders@bondapp.io)\\\n💬** **Text:** +1 (415) 418-4017\\\n**\\\n👉** For more info: [**bondapp.io**](http://bondapp.io)\\\n\\\n**Your time is too valuable to waste.** \\\n_Stop talking about work—let BOND be your CoS so you can actually get things done._", "url": "https://www.ycombinator.com/launches/Ncl-bond-ai-chief-of-staff-for-ceos-and-busy-execs", "votes": 195, "created_at": "2025-05-28T16:33:41.699Z" } ] }, { "id": 30647, "name": "Cyberdesk", "slug": "cyberdesk", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6deea0aa4e96211ac35f75ade0705df19758a8e.png", "website": "https://www.cyberdesk.io", "all_locations": "San Francisco, CA, USA", "long_description": "Cyberdesk is the first self learning computer use agent for developers to automate desktop workflows. \r\n\r\nFor example, one of our customers is building an AI agent for hospital patient intake, and they’re using us to automate an entire team of people manually clicking and typing into a desktop app to book appointments. \r\n\r\nWe launched mid July, and our agent is already operating in production environments, creating appointments in electronic health record apps and processing files in legacy ERPs.\r\n\r\nWe’ve built the first computer use agent that memorizes tasks and repeats them quickly while still adapting to unexpected changes on the screen. A good analogy is to how humans use computers: once we get used to an app, we use it much faster, while still adapting to random popups and crashes. This new paradigm for computer use will be needed by every company automating human workflows on computers.\r\n\r\nMahmoud previously built robotic process automation solutions impacting 20K+ employees at a Fortune 100 company. He also built AI & ML solutions at Baylor College of Medicine Neuroscience & Texas Children's Hospital + co-published a paper at the Rice Networks Group. \r\n\r\nAlan is ex-NASA and previously dropped out to be the first founding engineer at a PearX startup. He is a second time founder, having previously built and scaled a consumer AI app to thousands of paying users.\r\n\r\nComputer-use agents will automate the $6T dollars spent on enterprise knowledge work and Cyberdesk will be the platform to power this.\r\n\r\nWe’d love to talk with you!\r\nhttps://cal.com/mahmoud-al-madi-klrs5s/30min", "one_liner": "Self learning computer use agent for developers", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1749659433, "tags": [ "Developer Tools", "Robotic Process Automation", "Workflow Automation", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "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 met 2 years ago, connecting over our shared experiences at Rice, and our love of building things. We both ended up living at the same Hacker House in Menlo Park, called Incepto! We started Cyberdesk with the realization that it’s really hard to build a great computer use agent, especially when it comes to reliability, speed, and cost. We both lived in a 9×9 Airbnb room with a tiny bed and a single desk (we call it the Cyberdesk lol) and got Cyberdesk off the ground, building the MVP in a 6 days and getting a paid customer the next day through a cold email. \\\r\n\\\r\nCyberdesk was built to solve all three of the core problems with off the shelf computer use models: speed, reliability, and cost. We’re excited to deploy this architecture to the world and become the best developer framework for computer use." }, { "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": "From the moment we started working together, we knew we wanted to go through YC together. It was a little over a month before the deadline for Summer 2025 came out when we started working together, so we got to work! We launched, got paid customers, and built out our infrastructure fast. A month later, we interviewed in person and got the call from Jon Xu the same night that we got in! It was one of the happiest days of our lives." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "We started working together in late March (2025), with a shared goal of solving deep developer problems around computer use. We started off with an idea to help developers spin up virtual desktops for computer use agents in a single line of code. We shipped an MVP in 5 days and got a paid customer the next day through a cold email. For the next month, we kept shipping and looking for customers, and applied to YC with this idea. We found the product had interest from hobbyist developers, but for companies, there was much less pull because companies often already have VM infrastructure they are happy with. \\\r\n\\\r\nSo we made the call to pivot. We talked to over 100 developers in the computer use and robotic process automation space, and heard the same thing over and over: automating Windows desktops is an important yet extremely tedious process. You create a script once, then it breaks every time something changes in the app or a popup happens. Computer use agents were meant to solve that pain but even they were slow, costly, and non deterministic. That’s how we came up with the idea for what Cyberdesk is today - a layer on top of computer use agents that helps it memorize tasks it’s done before and repeat it consistently, 3 - 5x faster, and cheaply, while still falling back to computer use during popups and anomalies. We built an MVP in a week, and got our first pilot a week later. \\\r\n\\\r\nSince then we’ve been rapidly building out the product and closing more deals with startups and companies in healthcare, construction, accounting, and more, all of them using our agent to automate manual computer work they’ve struggled to automate before. " }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "For a developer team to automate legacy desktop apps with poor APIs, they’ve often resorted to building brittle automation scripts (either in Python or using a legacy RPA tool like UiPath) or hiring unreliable remote workers to click on remote desktops. As they need to support more and more software and versions of that software, the development and maintenance times exponentially increases. \\\r\n\\\r\nEvery company in the world has repetitive manual desktop work that is bogging them down. On top of that, companies building AI agents are increasingly having to interface with desktop apps to perform full human workflows. This problem is pervasive and we’re excited to solve it." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Traditional robotic process automation is a $6 billion industry, yet it only services a tiny fraction of desktop tasks that can now be automated by our agent. In the long term, our agent will automate every manual computer task." } ], "url": "https://www.ycombinator.com/companies/cyberdesk", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/cyberdesk.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cyberdeskhq", "x_url": "https://x.com/CyberdeskHQ", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/cyberdesk-9e2a", "github_url": "https://github.com/cyberdesk-hq/cyberdesk", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6deea0aa4e96211ac35f75ade0705df19758a8e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f97e92ea8e68598a95edd550d0062da113b863a0.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/afa862d3c6811c2f8fa968b87c2ce6d4508a98df.png" ], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 1707002, "full_name": "Mahmoud Al-Madi", "title": "Founder/CEO", "founder_bio": "Mahmoud graduated from Rice University with a degree in Electrical Engineering where he built AI & ML solutions at Baylor College of Medicine Neuroscience & Texas Children's Hospital + co-published a paper at the Rice Networks Group.\n\nAfter Rice, Mahmoud built RPA solutions impacting 20K+ employees at a Fortune 100 company, which inspired him to cofound Cyberdesk to build a computer use agent developers can use to automate desktop workflows.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mahmoudalmadi/", "x_url": "https://x.com/mahmoudalmadi_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/61b7bae3551c4559b2db78736f13d61532e2c0b0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92540, "title": "Cyberdesk - The computer use agent for developers to automate legacy Windows apps", "tagline": "Automate legacy apps like EHRs, ERPs, and more with just a prompt and an API call to our agent", "body": "Hey everyone! We’re Mahmoud and Alan, co-founders of Cyberdesk.\n\n**🏆 TL;DR:**\n\nWe’re building a computer use agent for developers to automate legacy Windows apps like EHRs, ERPs, and more. Just write your task in plain English, and call our API to trigger our agent. Our agent is designed to follow memorized steps reliably, only falling back to computer use models during expected popups.\n\nhttps://www.youtube.com/watch?v=yCDGsiCNb3E\n\n**❌ The Problem**\n\nDevelopers in industries like healthcare, supply chain, and beyond often work with clients who have old, legacy Windows software. Today, to work with these clients, they probably:\n\n* Hire unreliable offshore teams to manually click through remote desktops\n* Write fragile automation scripts that break on popups and need constant fixes\n* Skip the integration entirely—leaving valuable customers behind\n\n**✨ Our Solution**\n\nJust write your task in plain English, and our computer use agent will run it reliably, cheap, and fast, on any Windows PC (cloud or on prem).\n\nExample: entering patient data into OpenDental, a legacy dental EHR (real use case from one of our customers)\n\n1. **Write the task** (”Log in to Opendental, click Patients, find this dropdown, etc”), then just call our API to trigger the workflow\n2. **Our agent learns the task.** Every time it repeats the task, it does it 100% deterministically, upwards of 3x faster, and almost zero cost\n3. **If something unexpected happens** (like a popup), our system falls back to the computer use agent, and memorizes that trajectory too\n\n![uploaded image](/media/?type=post&id=92540&key=user_uploads/1707002/d09c26db-4734-4c16-8324-e5e0657e6512)\n\n**💯 The Team**\n\nMahmoud (CEO) previously scaled robotic process automation solutions to 20k employees at a Fortune 100. Alan (CTO) is ex-NASA and built a computer use agent at his previous startup.\n\n**Book a demo with us, or intro us to AI companies in regulated industries who need to integrate into legacy desktop apps!**\n\n* Book demo: https://cal.com/mahmoud-al-madi-klrs5s/30min\n* Our website: https://cyberdesk.io\n* Email us: mahmoud \\[at\\] cyberdesk \\[dot\\] io\n\n![uploaded image](/media/?type=post&id=92540&key=user_uploads/1707002/ca98113f-44e9-44ce-ab9b-20e5ea40354a)\n\n", "url": "https://www.ycombinator.com/launches/O4a-cyberdesk-the-computer-use-agent-for-developers-to-automate-legacy-windows-apps", "votes": 34, "created_at": "2025-07-29T15:47:24.669Z" } ] }, { "id": 30778, "name": "Perspectives Health", "slug": "perspectives-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d4d717434657a084785d53a7ab208f3a1b202dae.png", "website": "https://perspectiveshealth.ai/", "all_locations": "Chicago, IL, USA", "long_description": "America is facing an addiction and mental health crisis, but the treatment programs trying to solve the problem are faced with administrative burden, staff shortages, and pressure from payers. \r\n\r\nWe work with treatment programs to incorporate AI that reduces administrative burden, prevents insurance denials, and helps directors run their program better.\r\n\r\nOur agents analyze charts to prevent insurance denials, complete documentation and insurance paperwork to save staff time, and sift through historical data to find opportunities for improvement.", "one_liner": "AI to run behavioral health programs better", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1751446455, "tags": [ "Workflow Automation", "Healthcare", "Mental Health", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "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/perspectives-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/perspectives-health.json", "year_founded": 2024, "city": "Chicago", "country": "US", "linkedin_url": "https://www.linkedin.com/company/perspectives-health/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d4d717434657a084785d53a7ab208f3a1b202dae.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/73/1757444798-e238caf003eadad628843518da04d477/1f09e9118dd0cb12bfda2e5252510d3b.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022730Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=973e5011f0faf75346a26c8a6ebe0419fa530b8cd49087375ed7aa1b16c6a1fe", "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2329278, "full_name": "Eshan Dosani", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO, Perspectives Health. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eshan-dosani/", "x_url": "https://x.com/EshanDosani", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/82b2141759123737c726fcdc466ec142c3bd40d3.jpg" }, { "user_id": 1003771, "full_name": "Kyle Jung", "title": "Founder/CTO", "founder_bio": "I like building cool things, martial arts, and golf.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kyle-hyun-woo-jung-a06814180/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/76c7b10d44d923aa745450d3689cd0880684ef53.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101622, "title": "Perspectives Health", "tagline": "AI to Run Behavioral Health Clinics Better", "body": "Hey YC.\n\nMy name is Eshan. I’ve spent the last 5 years trying to address what I think is the most pressing problem in the country — addiction and mental health. Before YC, I ran a group doing on the ground overdose prevention work across the country. I also worked at the White House on Drug Policy.\n\n**Insurance companies love to scrutinize behavioral health treatment**, partially because it’s expensive (a single 30-day residential treatment episode can cost upwards of $50,000), and partially because proving medical necessity for behavioral health is a subjective process.\n\nBut behavioral health care _is_ medically necessary. **Drug overdose is the single biggest cause of death for young people in the US.** And there are too many stories of insurers denying people care, only for those individuals to later lose their lives to overdose.\n\nWe were in the summer ‘25 YC batch. Since then, we’ve been working with a small group of customers to develop a new product. I’m excited to announce it today.\\\n\\\n**Introducing: Perspectives Reclaim**\n\nBecause they’re under so much pressure from payors, behavioral health treatment programs currently spend an immense amount of resources and staff generating documentation and auditing it to be perfect. \\\n\\\nReclaim solves this by\n\n1. Reading tens of thousands of pages of charts every night\n2. Finding issues that can lead to insurance denials or other issues\n3. Tracking down which clinician made the error and emailing back and forth with them until it’s solved. \n\n![uploaded image](/media/?type=post&id=101622&key=user_uploads/2329278/a7ccf9c3-cf38-409a-a8d4-9c4421623a19)\n\n\\\nIn each of our pilots, we’ve flagged and resolved hundreds of issues, from missing documents to drug tests that weren’t happening when they were supposed to, **leading to more approvals from payors, higher revenue for our clinics, and better outcomes for patients.**\n\nReclaim’s agent can also help provide evidence when fighting against payor clawbacks and can generate the insurance documentation used to argue for more days of care.\n\nIn the last 4 weeks since launching Reclaim, we’ve gone from **0 —> $250k cARR.** Our vision is to replace the $30B spent on the financial and administrative services that keep these clinics afloat and give that capacity back to care.\n\n**Asks**:\n\n1. Intros to our ICP: we’re looking for multi-site behavioral health/SUD treatment centers that deal with commercial insurance.\n2. We’re currently hiring a senior software engineer to help us scale. Any intros here would be appreciated.\n3. Investor intros are always appreciated as well.\n\nHere’s our launch video: ", "url": "https://www.ycombinator.com/launches/QR4-perspectives-health", "votes": 4, "created_at": "2026-05-20T03:01:54.820Z" }, { "id": 92889, "title": "Perspectives Health: AI Agents for behavioral health admin", "tagline": "Too many clinicians are forced to chase insurance reimbursements through hours of documentation. We’re here to fix that", "body": "**Perspectives Health is the AI assistant automating the admin work that slows down behavioral health clinics.**\n\n[https://youtu.be/xL-XqY41L10](https://youtu.be/xL-XqY41L10%5C)\n\nHey everyone! We're Eshan and Kyle, founders of Perspectives Health.\n\nWe help the millions of clinicians and clinical directors finally use AI inside the outdated EMR systems they've been stuck in.\n\nMost clinical record software works like Microsoft 95, has no modern APIs, and can't integrate with new tools. That leaves clinicians stuck doing endless manual computer work. \n\nBelieve it or not, most behavioral health clinicians will spend 5 years of their lives just typing notes!\n\n**The Problem**\n\n* 60%+ of clinicians work outside of major hospital systems.\n* Most of them use software that nobody can connect to.\n* This means they can't access life-changing AI software, which could automate notes, billing, scheduling, and more.\n\n**Our Solution**\n\n* Connects to any web-based EMR instantly. Yes, we mean any EMR.\n* Perspectives listens to sessions, writes notes better than a clinician, and populates them straight into any EMR. \n* No copy/paste. And we don't rely on browser agents, so our tool fills out any form in seconds, not minutes.\n\nAI is rapidly improving, but most of healthcare is locked out due to legacy systems. Perspectives bridges that gap, making AI usable immediately. Clinicians want to help people. Not to be drowned in manual work. We're building toward a future where clinicians never touch a keyboard for documentation again—where intelligent systems handle every workflow outside of patient care. \n\nThe first step is integrating seamlessly with outdated EMRs and filling in the critical workflows they lack. From there, we'll expand across specialties—behavioral health, speech therapy, physical therapy, veterinary care, and beyond—unlocking AI for every provider outside the hospital system.\n\n**Our Traction**\n\n* We're growing 25% every week.\n* Once users try our product 5 times, the habit is built, and they never write notes without it.\n* We have onboarded 9 clinics for our pilot program since YC started, and each is on track to onboard all our pilot clinicians by September (180 clinicians).\n\n**Our Team**\n\nOur founding team combines lived experience in mental health care, policy expertise from the White House Drug Policy team, and technical expertise in scalable AI systems.\n\n**Our Ask**\n\nIf you're a behavioral health operator, clinician, or investor who believes AI should be helping providers now—not five years from now—let's talk.", "url": "https://www.ycombinator.com/launches/OAD-perspectives-health-ai-agents-for-behavioral-health-admin", "votes": 25, "created_at": "2025-08-13T19:26:58.682Z" } ] }, { "id": 30785, "name": "RowFlow", "slug": "rowflow", "former_names": [ "SheetStorm", "RowFlower" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4556b19fb6feb8d4b68cc26dd6a04f18622c3c33.png", "website": "https://rowflow.ai", "all_locations": "New York City, NY, USA", "long_description": "RowFlow replaces clunky web forms with natural conversations that run over text, slack, or wherever your users are. Our platform increases your form’s response rates while cutting your internal overhead in half. \r\n\r\nWith RowFlow, you can take any existing form and instantly convert it into an AI-powered conversation. New flows launch in minutes and reach respondents over your preferred channel or embedded chat. We guide the exchange, follow up automatically, and return clean structured data without extra work from your team.\r\n\r\nForms power billions of business interactions yearly. Whether it’s forms for client intake, registrations, compliance, feedback, or surveys, they all follow the same painful pattern: low conversion, messy data, and frustrated users. Teams have long tolerated forms only because there's been no scalable alternative for collecting structured information from people - until now. Our goal is for RowFlow to become the new default way for how organizations collect user data in an AI-first world.", "one_liner": "Replacing forms with AI conversations", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1756177645, "tags": [ "B2B", "Workflow Automation", "Chat", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "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/rowflow", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/rowflow.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rowflow", "x_url": "https://x.com/rowflowai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/rowflow", "github_url": "https://github.com/rowflow", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4556b19fb6feb8d4b68cc26dd6a04f18622c3c33.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": 644079, "full_name": "Alec Olesky", "title": "Founder/CTO", "founder_bio": "Co-founder at RowFlow.\n\nPreviously was a quant trader at Virtu Finacial and Hack VC, and before that a software engineer at Meta.\n\nI studied comp-sci at UPenn (where I met my cofounder Jack).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alec-olesky/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d75427aa8a932c888124781295ebcbcc3713ed6.jpg" }, { "user_id": 2767809, "full_name": "Jack Bubes", "title": "Founder/COO", "founder_bio": "Jack is the co-founder of RowFlow. He spent 8 years scaling marketplaces at Uber, Shef (YC19), and Faire (YC17), where he built 0-to-1 operational systems, standardized messy onboarding flows, and most recently led human-in-the-loop ML programs. He holds a degree in Statistics and Operations from Wharton, where he graduated in 2017.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jack-bubes/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9bd2d6d42c702f0649b3a9248d8017043627dcac.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93357, "title": "RowFlow: Turn any form into an AI conversation", "tagline": "We replace clunky webforms with AI conversations that get more responses faster", "body": "**Hey all -** we’re Jack and Alec, co-founders of **RowFlow**.\n\n**TL;DR**\n\nRowFlow can take any existing static form and instantly convert it into a dynamic AI-powered conversation. New flows launch in minutes and reach respondents over text, Slack, embedded chat, or wherever your users are. We guide the exchange, follow up automatically, and return clean structured data without extra work from your team. Compared to traditional webforms, our AI-native approach delivers higher completions, less overhead, and a better user experience.\n\n**Want to see it in action? [Try our demo here.](https://rowflow.ai/)**\n\n**Have a form that users hate filling out? [Schedule a call with us here.](https://calendly.com/rowflow/discovery-call)**\n\n![uploaded image](/media/?type=post&id=93357&key=user_uploads/2767809/755cae46-1c7f-4e48-a9e2-733e1d68348b)\n\n**Problem**\\\nForms suck. They power power billions of business interactions yearly _(think: lead qualification, customer onboarding, client intake, feedback forms, surveys, event RSVPs, registration forms, compliance, healthcare…the list goes on),_ but most have:\n\n* **Low conversion:** too many users provide half-answers or drop off before completing.\n* **Time drain:** teams waste hours building complex logic, chasing non-responders, hand-holding, and cleaning messy data.\n* **Poor user experience:** even when forms do work, they frustrate users and hurt your brand.\n\nTeams have been forced to tolerate these pain points as there's been no scalable alternative for collecting structured information from people - until now.\n\n---\n\nhttps://www.youtube.com/watch?v=MrchVB7RHmg\n\n\\\n**Solution**\\\nWith RowFlow, we abstract away from the static form structure altogether. It works like this:\n\n1. Say what data you need ([or try our Google Form converter](https://rowflow.ai/)).\n2. RowFlow runs guided AI conversations over text, Slack, email, or embedded chat with automated follow-ups.\n3. You get clean, structured data delivered into your systems.\n\nOur goal is for RowFlow to become the new default way for how organizations collect needed user data in an AI-first world.\n\n---\n\n**Ask:**\n\n1. Do you have a form with low response rate? If so, we’d love to help - [**you can book a call with us here**](https://calendly.com/rowflow/discovery-call)!\n2. If you have to fill out a form in the wild that makes you go 🤬, send a screenshot to [**jack@rowflow.ai**](mailto:jack@rowflow.ai) and we’ll take it from there.\n\n\\\n**About Us:**\n\nJack and Alec met as freshmen at UPenn and we always knew we’d build something together. 12 years later, we are! Prior to RowFlow, Jack scaled Ops at Uber, Shef, and Faire, while Alec was a quant trader at Virtu and an engineer at Meta.\n\n![uploaded image](/media/?type=post&id=93357&key=user_uploads/2767809/2b8be54b-a588-45eb-8224-5efb9ab195bf)\n\n", "url": "https://www.ycombinator.com/launches/OHl-rowflow-turn-any-form-into-an-ai-conversation", "votes": 20, "created_at": "2025-08-27T18:30:29.678Z" } ] }, { "id": 30792, "name": "Bizzy AI", "slug": "geo-ai", "former_names": [ "Visibl.ai", "Geo AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f1bb9d080fb903ceaca051fee53ae9b28b4bb593.png", "website": "https://www.usebizzy.com/", "all_locations": "New York City, NY, USA", "long_description": "Bizzy handles your calls, captures and qualifies leads, and books appointments directly into your CRM. It understands your services better than a receptionist would, routes and escalates calls, and syncs with your existing tools to incorporate complex workflows, all so your team can focus on servicing leads, not qualifying them.", "one_liner": "Bizzy works 24/7 so you never miss a lead.", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1768273014, "tags": [ "Workflow Automation", "Sales", "Marketing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/geo-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/geo-ai.json", "year_founded": 2025, "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/f1bb9d080fb903ceaca051fee53ae9b28b4bb593.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": 2157250, "full_name": "Rithvik Gabri", "title": "Founder", "founder_bio": "Formerly Stanford CS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rithvikgabri", "x_url": "https://x.com/rickgxa", "avatar_thumb_url": "/avatars/thumb/missing.png" }, { "user_id": 2378882, "full_name": "Ansh Sheth", "title": "Founder", "founder_bio": "Formerly Stanford CS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ansh-sheth-684b8a215/", "x_url": "https://x.com/AnshSheth4", "avatar_thumb_url": "/avatars/thumb/missing.png" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30877, "name": "Trelium", "slug": "trelium", "former_names": [ "Questom" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4cf7ff003fba8201e539d2872cb8344bd10cf9b4.png", "website": "https://www.trelium.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Trelium lets enterprise teams build AI agents in simple English to automate back-office work. We serve companies handling custom and bulk operations, including distributors, suppliers, and decorators across the print, merch, and apparel industries, automating workflows like order entry, purchase order creation, PO-invoice matching, order-status follow-ups, and many more.", "one_liner": "AI Agents for Enterprise Wide Operations", "team_size": 11, "industry": "B2B", "subindustry": "B2B", "launched_at": 1759277752, "tags": [ "B2B", "Workflow Automation", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "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/trelium", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/trelium.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/questom-inc/", "x_url": "https://x.com/trelium_ai", "fb_url": "https://www.facebook.com/profile.php?id=61590313357941", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4cf7ff003fba8201e539d2872cb8344bd10cf9b4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a5b8c4c92ec5a87175cd6dced6e402985f021a43.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2543329, "full_name": "Abhimanyu Yadav", "title": "Founder/CEO", "founder_bio": "Trelium lets teams describe workflows in English and deploys agents to run them. Any app, any logic, any automation, built in under 7 minutes, runs forever.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abhiy1", "x_url": "https://x.com/not_by_default", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9232e2d5c6321dbf8bed4ac3dccb6b9d53c9c407.jpg" }, { "user_id": 1608276, "full_name": "Ritanshu Dokania", "title": "Founder/CTO", "founder_bio": "Trelium lets teams describe workflows in English and deploys agents to run them. Any app, any logic, any automation, built in under 7 minutes, runs forever.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ritanshudokania", "x_url": "https://x.com/ritanshu675", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/84e04c2e1c5fdbc85669452950487e97b6aa1063.jpg" } ], "jobs": [ { "id": 89120, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/trelium/jobs/UBebsyO-founding-engineer", "location": "IN / Remote (IN)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$25K - $35K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "React", "TypeScript", "Next.js" ] } ], "news": [], "launches": [ { "id": 121520, "title": "Paul by Trelium", "tagline": "An AI automation scout that finds repetitive work and shows your team what to automate.", "body": "Meet Paul, an agent built on Trelium to be our Lazy Champion and automation scout 🐧 His job is simple: figure out where your team could be doing less. \n\nOver the last year, we rebranded Questom to Trelium and evolved from building AI agents for B2B inbound sales into a platform where non-technical enterprise teams can build deterministic AI agents in simple English to automate back-office work across the tools they already use. Since then, we have been creating value for distributors, suppliers, and decorators across print, merch, and apparel by helping them automate work like order entry, purchase order creation, PO-invoice matching and a lot more.\n\nIn sales calls, we keep hearing the same thing: “We want to use AI, but we do not know what to automate.” The funny part is that figuring this out is still extremely manual. AI audits usually mean workshops, interviews, process maps, and asking people to remember all the repetitive things they do. But the work wasting the most time is often so routine that nobody even remembers to mention it.\n\nSo we thought, why not make Paul? Paul is an agent built on our own platform, and now he is available to everyone. Connect him to places like email and chat, and he watches how work actually moves across your team, spots repetitive processes, and tells you what is worth automating. He might notice someone doing the same tiny task 40 times a week because apparently copy-paste has become a job description. Instead of a giant consulting deck, Paul gives you the opportunity, the reasoning behind it, and a ready-made prompt to build that agent on Trelium.\n\nWe have been using Paul on ourselves too, and unfortunately he keeps finding things. The idea is simple: spend less time talking about “adopting AI” and more time removing work nobody wanted to do in the first place. Paul has mastered laziness. We are trying to catch up. 🐧\n\n[trelium.com/PaulThePenguin](http://trelium.com/PaulThePenguin)\n", "url": "https://www.ycombinator.com/launches/Vc0-paul-by-trelium", "votes": 3, "created_at": "2026-10-11T22:23:55.414Z" }, { "id": 95375, "title": "Questom: AI Agents for B2B Inbound Sales", "tagline": "We build AI agents that answer inbound calls, emails, and chats for B2B companies, collecting requirements, quoting orders, sending updates, and turning conversations into revenue.", "body": "Hey everyone, Ritanshu and Abhimanyu here from Questom.\n\nWe’re building **AI agents that handle the everyday conversations B2B companies rely on to sell.**\\\n\\\n[**Questom: AI Agents for Sales**](https://youtu.be/EkodDghaQ4A)\n\n## **TL;DR**\n\nMost B2B revenue still runs through **phone calls and emails**, not websites.\n\nTeams struggle to:\n\n* answer every inquiry\n* follow up consistently\n* collect details cleanly\n* apply the right catalog + pricing rules\n* generate accurate quotes\n* and keep customers updated\n\nQuestom trains **AI sales agents** that do all of this automatically, using your workflows, your rules, your language, and your systems.\n\nOur agents live directly inside the communication channels B2B teams already use:\n\n**📞 Phone • 📧 Email • 💬 Chat • 📱 SMS**\n\nThey handle inbound conversations end-to-end and hand off to humans only when needed.\n\n# **🚨 The Problem**\n\nAcross wholesalers, distributors, field-service companies, custom-order shops, foodservice, industrial supply, packaging, labels, and more — the story is the same:\n\n**Revenue depends on conversations.**\n\nEvery day teams handle:\n\n• “Can you do this?”\n\n• “How much will it cost?”\n\n• “Can I get it by Friday?”\n\n• “Where’s my order?”\n\n• “Can I change something?”\n\nBut these companies run lean.\n\nSales, operations, and customer service are often the _same people_ juggling:\n\n* quoting\n* re-quotes\n* customer updates\n* scheduling\n* inventory/lead-time questions\n* supplier coordination\n* repeat jobs\n* production constraints\n\nWhen things get busy, response times slip, inboxes pile up, and high-intent buyers quietly move on.\n\nThis creates:\n\n* Missed revenue\n* Burnt-out teams\n* Customers who don’t come back\n* An invisible tax on growth\n\nPeople think “chatbots” solve this, but bots don’t understand:\n\n* catalogs\n* pricing rules\n* discounts\n* exceptions\n* minimums\n* production timelines\n\nB2B sales is _not_ FAQ automation.\n\nIt’s conversational problem-solving.\n\n# **💡 The Solution**\n\n**Questom builds AI sales agents that run your inbound sales process.**\n\nThey learn:\n\n* your catalog\n* your pricing\n* your discounts & exceptions\n* your constraints\n* your approval flows\n* your lead times\n* your edge cases\n* your CRM/ERP logic\n\nThe agent:\n\n* answers instantly\n* asks the right questions\n* collects order requirements\n* applies your pricing logic\n* generates quotes and revisions\n* manages follow-ups\n* sends status updates\n* and pushes structured orders into your ERP/CRM\n\nWhen needed, the agent hand-offs to a human with full context, so nothing gets lost.\n\n### **Operational impact:**\n\n* Faster first responses\n* Fewer missed inquiries\n* More accurate quoting\n* More deals closed\n* Less repetitive messaging\n* Happier customers\n* Less load on your team\n\n# **⚡ Early Results**\n\nAcross our pilots with wholesalers, print companies, and multi-location brands:\n\n* Up to **50%** of inbound sales conversations fully automated\n* Meaningful **AOV lift** from smart upsells\n* Backlogs cleared within days\n* More quotes sent → more revenue captured\n* Teams finally able to focus on higher-value work\n\n# **👥 About Us**\n\n**Ritanshu** grew up in a 75-year-old wholesale business, worked at Google (Wing) and Tesla, and previously bootstrapped a SaaS product to $45K ARR.\n\n**Abhimanyu** spent 7 years in Applied ML Research at Apple working on conversational intelligence, with CS degrees from IIT Kanpur and Columbia.\n\nWe’re combining **deep B2B operational understanding** with **real applied ML** to solve one of the oldest, hardest problems in the industry:\n\n**turning everyday conversations into revenue automatically.**\n\n# **🤝 Our Ask**\n\nIf you know a B2B company that:\n\n* handles lots of inbound calls\n* quotes custom or configured orders\n* relies heavily on phone or email\n* struggles with response time\n* or is drowning in repetitive sales conversations\n\nWe’d love to talk.\n\n📩 [founders@questom.ai](mailto:founders@questom.ai)\n\n📅 [Book a meeting](https://cal.com/meetabhimanyu/investor-chat)\n\n![uploaded image](/media/?type=post&id=95375&key=user_uploads/89898/659e2fe4-f8b3-48cb-8421-7de00c3b637b)\n\n", "url": "https://www.ycombinator.com/launches/OoJ-questom-ai-agents-for-b2b-inbound-sales", "votes": 20, "created_at": "2025-11-10T19:13:01.810Z" } ] }, { "id": 30911, "name": "Helonic", "slug": "helonic", "former_names": [ "Articulate" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/336d43aeb77b236c25b003848175a054e780ccbc.png", "website": "https://helonic.com", "all_locations": "New York City, NY, USA", "long_description": "We help construction teams eliminate rework, delays, and drawing confusion before construction starts.
We analyze PDF plans, detect clashes and inconsistencies across disciplines, and create draft RFIs so teams can resolve issues early.\r\n\r\nThis saves construction companies hundreds of hours and millions of dollars.\r\n\r\nWhat we do:\r\n- Automatically detect clashes, missing information, and drawing mismatches\r\n- Align architectural, structural, and MEP plans so everything matches across sheets\r\n- Generate draft RFIs from issues we find\r\n- Replace long page-turn meetings with instant drawing analysis\r\n- Reduce rework and prevent schedule delays before boots hit the ground\r\n\r\nWe integrate with:
Procore, Autodesk, email, and the tools teams already use\r\n\r\nTeams use us to:\r\n- Save hundreds of thousands to millions of dollars per project\r\n- Catch design and coordination issues early\r\n- Reduce RFIs and prevent field fixes\r\n- Keep projects on schedule with fewer surprises\r\n\r\nContact us at founders@helonic.com", "one_liner": "Automatic Construction Drawing Clash Detection ", "team_size": 2, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1760131149, "tags": [ "Construction", "B2B", "Workflow Automation", "Architecture", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/helonic", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/helonic.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/helonic", "x_url": "https://x.com/HelonicAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/336d43aeb77b236c25b003848175a054e780ccbc.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": 2463466, "full_name": "Milind Sagaram", "title": "Founder/CTO", "founder_bio": "Co-Founder @ Helonic\nEx. SpaceX, BMW, NG\nIllinois Alum", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/milind-sagaram", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b9ab6e4960bf447e4ab5d732825808df30c0d34e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94785, "title": "Helonic: Automatic Construction Drawing Issue Detection", "tagline": "Catch issues in drawings before they appear on site", "body": "**TL;DR:** Helonic is the AI platform that helps **construction companies, architects, and civil engineers** catch design errors and avoid costly rework before construction begins. We automatically detect clashes and discrepancies, and generate RFIs and save construction companies hundreds of hours and millions of dollars.\n\n**Launch Video: [https://youtu.be/sen1fR6e7n4](https://youtu.be/sen1fR6e7n4)**\n\n**❌ The Problem:**\n\n* Drawings and specs are often incomplete or inconsistent, leading to design clashes and costing companies **hundreds of millions of dollars**\n* Mechanical, structural, and architectural plans don’t align, forcing long coordination cycles and rework\n* Incorrect blueprints and outdated revisions cause crews to build from the wrong designs, especially in fast-paced solar installations\n\n**✅ The Solution:**\n\nHelonic automatically finds issues in construction drawings.\n\n* **Detect design discrepancies automatically:** AI identifies clashes across MEP, structural, architectural, and solar layouts before they reach the field.\n* **Instantly generate RFIs:** Proactive document and drawing auditing allows project managers and installers to stay focused on building.\n* **Integrated and proactive:** Helonic connects with Procore, Revit, Autodesk, Outlook, Gmail, Google Drive, SharePoint, Bluebeam, and more\n\n**About Us:**\n\nMilind is from Chicago. He’s an engineer who worked at SpaceX, Northrop Grumman, and BMW. At SpaceX, he built critical satellite and ground station hardware test infrastructure for Starlink. He also graduated with a degree Computer Engineering from the University of Illinois.\n\n**🦺 Our Ask:**\n\n* If you know any project managers or superintendents at general contractors, we’d love an introduction.\n* If you know directors or executives at construction or solar firms who are improving design coordination or workflows, we’d love to connect with them.\n* Visit us at [helonic.com](http://usearticulate.com) or contact us at [founders@helonic.com](mailto:founders@helonic.com)!", "url": "https://www.ycombinator.com/launches/Oen-helonic-automatic-construction-drawing-issue-detection", "votes": 35, "created_at": "2025-10-20T19:45:41.152Z" } ] }, { "id": 31005, "name": "MarkIt", "slug": "markit", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/39b63a988d2773d1a5c1037f6450dfbc78231218.png", "website": "https://markittrade.com", "all_locations": "Atlanta, GA, USA", "long_description": "MarkIt is an AI-powered regulatory compliance platform that helps consumer brands launch products in new markets. We review formulations, packaging, and supporting documents against local regulations, identify compliance gaps, and provide the exact changes, regulatory references, and market-ready labels needed before launch. We are initially focused on cosmetics and food products entering the U.S., replacing weeks of manual work across regulatory consultants, spreadsheets, and disconnected vendors with one actionable compliance workflow.\r\n", "one_liner": "Compliance that makes products ready for global markets.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1759442158, "tags": [ "Workflow Automation", "Compliance", "Consumer Products", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/markit", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/markit.json", "year_founded": 2025, "city": "Atlanta", "country": "US", "linkedin_url": "https://www.linkedin.com/company/markittrade/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/39b63a988d2773d1a5c1037f6450dfbc78231218.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": 2551075, "full_name": "Chanhyung Kim", "title": "Founder/CEO", "founder_bio": "CEO @ MarkIt", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chanhkim?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/097e256154b2fe65818d509c5760a97625be76ad.jpg" }, { "user_id": 850083, "full_name": "Roland Saavedra", "title": "Founder/CTO", "founder_bio": "CTO of Markit", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rsaav", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d2658f55701abb5c7932995fff951b3d87d7430b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94776, "title": "MarkIt: Silver Bullet for Trade Compliance", "tagline": "2025 Tariffs Megathread", "body": "Hey Everyone!\n\nExcited to share our story and what we’ve been working on.\n\nhttps://youtu.be/kdNXKa-zfcg\n\nWhen Chan worked on Tesla’s Global Trade team, every car part—bolts, batteries, doors, etc—came from a different country. Each time tariffs shifted (pretty frequently), he and his team had to manually check thousands of parts across hundreds of pages of trade rules. Pair that with meetings with consultants, brokers, & suppliers to get potentially the worst workflow of 2025. All happening within Outlook & Excel 2019.\\\nThey tried software, consultants, startups — every one of them got shot down due to reasons like product quality & data security, but mainly that it doesn’t bring enough value.\n\nThat’s why we built **MarkIt** — AI agents that actually _do the work_ for Suppliers, Brokers, and OEMs.\n\n# **Introducing MarkIt - The Silver Bullet for Trade Compliance**\n\nWith agents that live where trade professionals already work — **Excel, broker portals, and browser** — MarkIt helps teams classify products, manage tariffs, and resolve customs issues in seconds, not hours.\n\n# **MarkIt’s Value: Product & Logic Application**\n\nMarkIt is intentionally lightweight, and customizable. Previously, without AI, software in this industry was clunky & typically automating a set workflow. Now, MarkIt services all of your workflow needs in a single\n\n* **Classification**: MarkIt can enhance your workflows at scale. Entries are\n\n **defensible** with thorough **reasoning** and **supporting documents**.\n* **OCR**: Upload your Bill of Ladings, Commercial Invoices, Packing Lists, and other documents to create your import filings and reports.\n* **Customization**: Users can choose to **use their own logic**, where MarkIt’s platform would simply handle applying it at volume. No more worrying about reasonable care, if you don’t trust AI research.\n* **Build Your Own:** MarkIt’s agents can work in files & desktop, applying trade logic in your own customizable way.\n* **Integration:** Plug directly into ABIs and ERPs **only if you want.**\n\nMarkIt is like a coworker specialized in customs & the trade process. Who’s willing to do all of your mindless “dishwashing” work.\n\n# **Our Ask:**\n\nWe’re looking to connect with anyone who works in Global Trade. Suppliers, customs brokers, manufacturers, e-commerce operators, etc.\n\n# **Connect with Us:**\n\nMarkIt: [LinkedIn](https://www.linkedin.com/company/markittrade/)\n\nChan: [LinkedIn](https://www.linkedin.com/in/chanhkim/)\n\nRoland: [LinkedIn](https://www.linkedin.com/in/rsaav/)", "url": "https://www.ycombinator.com/launches/Oee-markit-silver-bullet-for-trade-compliance", "votes": 4, "created_at": "2026-02-07T15:54:23.608Z" }, { "id": 94794, "title": "MarkIt: Silver Bullet for Trade Compliance", "tagline": "2025 Tariffs MegaThread: MarkIt Launch", "body": "When Chan worked on Tesla’s Global Trade team, every car part—from bolts to battery packs—came from a different country. Each time tariffs shifted, thousands of parts across hundreds of pages of trade rules needed review, research, or reclassification. Pair that with tons of paperwork & meetings with consultants, brokers, & suppliers, and you’ll have one worst workflow of 2025. All happening within Outlook & Excel 2019.\\\nThey tried software, consultants, startups — every one of them got shut down due to reasons like product quality & data security.\\\nThat’s why we built **MarkIt** — AI agents that actually _do the work_ for Suppliers, Brokers, and OEMs.\n\n**Introducing MarkIt**\n\nhttps://www.youtube.com/watch?v=STJujU1zWz4\n\nWith agents that live where trade professionals already work — **Excel, broker portals, and browser** — MarkIt helps teams classify products, manage tariffs, and resolve customs issues in seconds, not hours.\n\n**MarkIt’s Value: Product & Logic Application**\\\nMarkIt is intentionally lightweight, and customizable. Previously, without AI, software in this industry was clunky & typically automating a set workflow. Now, MarkIt can support every trade compliance process, including ones companies have been ignoring. \n\n* **Classification**: Use our **accurate**, defensible classifications, or upload your own!\n* **OCR**: Analyze your Bill of Ladings, Commercial Invoices, Packing Lists for report filing, analysis, and report generatino.\n* **Customization**: Users can choose to **use their own logic**, where MarkIt’s platform would simply handle applying it at volume.\n* **Build Your Own:** MarkIt’s agents are familiar with many document types & many regulations. It’ll be able to support ad-hoc workflows just as well as your daily ones.\n* **Integration:** Plug directly into ABIs and ERPs **only if you want.** We don’t want require complete system overhaul.\n\nMarkIt is like a coworker specialized in customs & the trade process. Who’s willing to do all of your mindless “dishwashing” work.\n\n\\*\\*Our Ask:\\*\\*\\\nWe’re looking to connect with anyone who works in Global Trade. Suppliers, customs brokers, importers, e-commerce operators, etc. Anyone who may have to get a good across a border.\n\n\\*\\*Connect with Us:\\*\\*\\\nMarkIt: [LinkedIn](https://www.linkedin.com/company/markittrade/), [Website](https://markittrade.com)\\\nChan: [LinkedIn](https://www.linkedin.com/in/chanhkim/), [X](https://x.com/ch6nkim)\\\nRoland: [LinkedIn](https://www.linkedin.com/in/rsaav/), [X](https://x.com/supadupacoda)", "url": "https://www.ycombinator.com/launches/Oew-markit-silver-bullet-for-trade-compliance", "votes": 17, "created_at": "2025-10-21T15:36:33.380Z" } ] }, { "id": 31261, "name": "Control Seat", "slug": "control-seat", "former_names": [ "C42" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9fbf6b23216653c383d7f0caea2def1b673a3a5.png", "website": "https://www.controlseat.com", "all_locations": "San Francisco, CA, USA", "long_description": "Control Seat builds the hardware and software that helps industrial teams see, understand, and run their operations.\r\n\r\nOur platform creates one clear source of truth across the plant. It connects the systems teams already use, brings control, monitoring, history, and machine health together, and adds an intelligence layer that continuously watches for meaningful changes. Teams can understand what happened, catch problems earlier, and act before they become downtime.\r\n\r\nThe result is fewer surprises, faster decisions, and less time spent piecing together information across disconnected tools.\r\n\r\nWe work with manufacturers, utilities, energy companies, and other industrial operators modernizing existing facilities or building new ones.", "one_liner": "AI that runs factories. ", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1777448165, "tags": [ "Workflow Automation", "Monitoring", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "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/control-seat", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/control-seat.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/control-seat", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9fbf6b23216653c383d7f0caea2def1b673a3a5.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": 3064044, "full_name": "Warren Shepard", "title": "Founder/CEO", "founder_bio": "Building a modern SCADA system to control and monitor factory hardware and replace legacy systems. Previously at Dartmouth ('26), SpaceX (Starlink), and Microsoft (security).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/warren-shepard-493a37201/", "x_url": "https://x.com/warrren_shepard", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff41fa222f3fc3b27bd9e580e1dee71f5754722d.jpg" }, { "user_id": 3132492, "full_name": "Jack Grodnick", "title": "Founder/CTO", "founder_bio": "Building Control Seat, the AI-native controls and monitoring stack for industry. We help industrial teams connect plant systems, understand what changed, catch problems earlier, and run operations with fewer surprises. On leave from Dartmouth. Previously at Tesla, SpaceX, and Amazon.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jack-grodnick/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b49172bc391f2b19dcde4aff68ff061ccd456a44.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 104972, "title": "Control Seat: the operating system for the physical world.", "tagline": "An AI-native controls (SCADA) platform and integration service.", "body": "\\\n\\\n**THE PROBLEM**\n\nIndustrial control software still looks and feels like it was built in the Windows 95 era. Manufacturers spend weeks stitching together Programable Logic Controllers (PLCs), Supervisory Control and Data Acquisition (SCADA), HMIs, databases, and custom integrations just to get systems running. Additionally, legacy systems collect enormous amounts of high-quality data, but don’t do _anything_ with it, even though it could easily be used for things such as anomaly detection or optimization recommendations.\\\n\\\n**OUR SOLUTION**\n\nWe're building an AI-native platform to unify the industrial control stack, starting with SCADA and eventually extending down to PLC hardware and the devices on the factory floor. We offer both a product and a service:\n\n**1) Software**\n\nWe already built a full SCADA system to replace legacy platforms like Ignition, WinCC, and FactoryTalk. It’s AI native: users can use AI to generate controls screens in seconds (this used to take hours), write custom scrips/logical flows, and automatically detect issues before they become catastrophic. \\\n\\\nNot only is this a full SCADA system, but it can operate on top of an existing one so that users can take advantage of our “intelligence layer” without having to rip out their current infrastructure (people understandably don’t like doing this).\\\n\\\n**2) System Integration** \n\nWe’ve recently expanded to become an AI-native industrial integrator. Instead of just selling our software, we integrate it into our clients existing stack for them, and help them set up any other tools they need to run it. \n\nOver the past few months, we've spent hundreds of hours talking with controls engineers, manufacturers, operators, and system integrators. We already knew that industrial software was broken, but we also learned that even when better technology exists, people are understandably cautious about adopting it. These systems run critical infrastructure and reliability matters more than novelty. Change is slow, but we want to reindustrialize America now.\n\n**Instead of waiting for the industry to adopt an entirely new software stack, we're bringing our technology directly into customer projects today.**\n\nWhile larger firms can spend millions on integration services, smaller firms don’t have that kind of money. Traditional integrators use highly manual methods to set up their clients software stacks (which are also outdated). By leveraging AI, we’ll be able to set up the same systems at 10x the speed and charge way less. \n\n**Our ask: if you’re exploring controls/automation systems, PLC programming, SCADA systems, or system integration**, **we’d love to talk. Or, if you know any deep tech companies that want to set up a controls system, let us know!**\n\nSee more at .", "url": "https://www.ycombinator.com/launches/RJ6-control-seat-the-operating-system-for-the-physical-world", "votes": 4, "created_at": "2026-07-09T14:31:33.522Z" } ] }, { "id": 31272, "name": "Poth Labs", "slug": "poth-labs", "former_names": [ "Poth" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee08f2b3965c952b7b91fda669eab1aace70f2b1.png", "website": "https://pothlabs.com", "all_locations": "San Francisco, CA, USA", "long_description": "Poth is an agentic research platform that connects to your company data, creates hypotheses about what might be causing problems, and validates them using both existing data and adaptive user feedback.", "one_liner": "The customer brain that connects data to explain customer behavior", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1782326273, "tags": [ "SaaS", "B2B", "Workflow Automation", "Market Research", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "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/poth-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/poth-labs.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/poth", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee08f2b3965c952b7b91fda669eab1aace70f2b1.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": 2622339, "full_name": "Mojmir Horvath", "title": "Founder", "founder_bio": "Cofounder & CTO of Poth Labs. Ex-Tietoevry and Phillips Academy", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mojmir-horvath/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3251bb7283370c7779f42f2224497630d2fc08a7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 106978, "title": "Ask Poth—ask anything about your customers", "tagline": "The internal voice of the customer", "body": "# \\*\\*\\*\\*\n\n**TL;DR: Your customer data is fragmented across Pylon, Granola, Posthog, Hubspot, Slack, and Notion. Poth connects that information into a living model of your customers, mapping analytics from Posthog and transcripts from Granola to the same customer, so you can finally answer the questions that live across multiple tools: churn, adoption or what to build next, with cited evidence. pothlabs.com**\n\n\n\n**The problem:**\n\nCompanies have customer information scattered across support tickets, sales calls, CRM notes, surveys, interviews, product analytics and more. \n\nBut answering a new question about customers still usually means manually searching across those systems or beginning another research project.\n\n**The (soft) pivot:**\n\nWe originally built Poth to generate hypotheses and launch adaptive interviews and surveys to test them. To determine what questions to ask and which customers to ask, Poth first had to understand all of the customer information a company already had.\n\nUnder the hood, we built a customer knowledge graph: Poth identifies the important objects in a company’s data: customers, accounts, users, products, features, conversations, behaviors, and feedback, and connects them through their relationships.\n\nAs we integrated with more teams, we noticed that several were using this underlying model as much as, or more than, the survey functionality itself. They wanted to ask questions across everything their customers had already said and done so we made that a core part of the product!\n\n**Customer knowledge graph example:**\n\nFor a company like Slack, Poth might model five objects:\n\n* **Account**  (a company paying for Slack)\n* **User**\n* **Workspace**\n* **Feature** (Slack Connect, Huddles, Canvas, or workflows)\n* **Customer signal** (A support ticket, call transcript, survey response, or product event)\n\nIt then connects them through relationships such as:\n\nUser —BELONGS_TO→ Account Account —OWNS→ Workspace User —USED→ Feature Customer Signal —CREATED_BY→ User Customer Signal —REFERENCES→ Feature\n\nSlack could then ask:\n\n“Why are enterprise accounts trying Slack Connect but not adopting it broadly?”\n\nAnd Poth could connect low Slack Connect usage in PostHog, permission-related support tickets in Pylon, security concerns mentioned in Granola transcripts, and renewal context from HubSpot, all through the same accounts, users, workspaces, and features.\n\nInstead of returning a generic summary, Poth can show the supporting and contradicting evidence, cite the underlying sources, and explain what information is still missing.\n\nIn practice, the model contains many more objects and relationships based on each company’s business and data.\n\n**Ask Poth:**\n\nConnect your customer data sources and internal documentation. Poth automatically builds the living model, and your team can ask questions naturally across everything customers have said and done.\n\nWhen the existing evidence is not enough, you can also use Poth to launch adaptive interviews and surveys to collect what is missing.\n\nSome use cases we’ve seen:\n\n* **Discovery:** “Across our discovery calls, what do users want most that we haven’t built?”\n* **Adoption and growth:** What is preventing activated customers from adopting more of the product and expanding?”\n* **Churn and risk:** “Identify the top three reasons customers have churned, then flag the five active accounts showing similar warning signs.”\n* **Win-loss analysis:** “What are the most common reasons we lose enterprise deals, and which product gaps are actually affecting revenue?”\n* **Account intelligence:** “Give me everything relevant to this account before my next customer call.”\n\n**Our ask:**\n\nWe’re already working with several teams in the YC batch, and we’re looking for more companies whose customer context is spread across several systems.\n\nI’d especially appreciate introductions to:\n\n* Founders and product leaders at growing startups with significant customer data across three or more tools\n* Heads of Customer Insights, Voice of the Customer, Customer Experience, User Research, or Customer Success at larger companies\n\nAnd if your team has important customer questions it still cannot answer confidently, email me at [matthew@pothlabs.com](mailto:matthew@pothlabs.com)! We’ll work closely with early teams to connect their core systems and get them live.\n\npothlabs.com", "url": "https://www.ycombinator.com/launches/RpS-ask-poth-ask-anything-about-your-customers", "votes": 7, "created_at": "2026-07-22T20:02:23.718Z" }, { "id": 103949, "title": "Poth Labs - The AI Native Customer Research Platform", "tagline": "Understand why users behave the way they do—hypotheses from your data, validated through interviews.", "body": "**TL;DR:** Poth helps you understand _why_ your users behave the way they do. It uses your company's data and context to generate hypotheses, then validates them through adaptive user interviews until it uncovers the root cause.\n\n**What we do:** Poth is an AI-native customer research platform\n\nAnalytics tools show behavior. Traditional research tools ask users static, predetermined questions. Poth connects the two—starting from your own data.\n\nIt takes a company's existing data and context to generate hypotheses, validates them through adaptive interviews, and continuously updates its questioning based on each user's responses—helping teams uncover the reasons behind churn, failed activation, checkout abandonment, or any user behavior.\n\n\n\n**Who we are:** Before Poth, I (Matthew) was an FDE at Palantir, where I worked closely with enterprise customers to help them make better use of their data. My co-founder Mojmir was a data scientist at Tietoevry, where he did the same.\n\nNow we're building Poth to help every company understand why users behave the way they do.\n\n**Our ask:** If you work in product, growth, customer research, or analytics, we'd love to chat — reach out and connect. Try it at [pothlabs.com](http://pothlabs.com).", "url": "https://www.ycombinator.com/launches/R2b-poth-labs-the-ai-native-customer-research-platform", "votes": 41, "created_at": "2026-06-25T19:41:41.476Z" } ] }, { "id": 31352, "name": "Marker", "slug": "marker", "former_names": [ "Widari", "Widari Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/93931f5e81e962ad8d0a22dae5ec988c5226fb07.png", "website": "https://onmarker.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Marker is a platform for rebuilding enterprises agent-first, delivered by forward-deployed engineers. It productizes every step from discovery to production, so every agent we ship makes the next one faster.", "one_liner": "Platform + FDEs that rebuild enterprises agent-first", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1787016991, "tags": [ "Generative AI", "SaaS", "B2B", "Workflow Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "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/marker", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/marker.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/112296703/", "x_url": "https://x.com/markerhq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/93931f5e81e962ad8d0a22dae5ec988c5226fb07.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 334251, "full_name": "David Pastewka", "title": "Founder", "founder_bio": "Co-founder & CEO of Marker. Previously co-founded Drapr (S20), acquired by Gap Inc. UC Berkeley, Business & Computer Science.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/davidpastewka/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a6a89814f4f0727febfa36792bba3bf24dff3432.jpg" }, { "user_id": 35831, "full_name": "Richard Berwick", "title": "Founder", "founder_bio": "Co-founder of Marker. Previously co-founded Drapr (S20; acquired by Gap Inc.) and Twindom (acquired). UC Berkeley, Business.\n\nEntrepreneur at heart with a hacker brain. I'm always looking for ways to solve problems in efficient, inexpensive ways -- and I love helping people (and companies) get through difficult situations. If I can create value, I will.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/richard-berwick-93995629/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/feaf807d92184710fb01168ec1224a14a4583a1c.jpg" }, { "user_id": 35832, "full_name": "Will Drevno", "title": "Founder", "founder_bio": "Co-founder at Marker. Previously co-founded Drapr (yc s20; acquired by Gap Inc.) and Twindom (acquired). Studied engineering at UC Berkeley.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/will-drevno-0a78832a/", "x_url": "https://twitter.com/WillDrevno", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/49050f23e7b38cb215076ab6eaa87155b8076252.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111180, "title": "Marker: AI-native consultancy rebuilding businesses with AI agents", "tagline": "95% of enterprise AI initiatives fail. Ours don't.", "body": "**TL;DR: Marker partners with execs, learns how their organization actually works, finds the highest-impact problems, and solves them by** **shipping custom AI agents into production on the Marker platform in weeks. Each agent deepens our understanding of the business, so the next agent launches faster. We stay embedded until the business is rebuilt.**\n\n\n\nWe’re Will Drevno, Richard Berwick, and David Pastewka, the founders of Marker. We’ve built together for 15 years. Our last company, Drapr (YC S20), was acquired by Gap Inc., and Richard went on to found Gap’s Office of AI.\n\n## **Why we built Marker**\n\nInside Gap, we saw firsthand how much leaders wanted to transform their businesses with AI and how hard it was to turn that ambition into production systems that actually changed how their organizations worked.\n\n**95% of AI initiatives still fail. Ours don’t.**\n\nThe hard part is understanding how work happens across people, systems, and teams; choosing the opportunities that matter most; and getting solutions into production.\n\n## **How Marker works**\n\nWe embed with each company and lead the transformation end to end:\n\n* **Understand the organization.** We listen closely to leaders and frontline teams, learn their systems and ways of working, and map the processes that usually live in people’s heads.\n* **Find the biggest opportunities.** We identify and prioritize the problems where AI can have the greatest impact on cost, capacity, speed, or growth.\n* **Build and ship.** We create custom agents and automations around the company’s real workflows and systems. The agents we deploy run on the Marker Command Center and go live in production within weeks.\n* **Compound.** Every agent we deploy deepens our understanding of the company. That helps us launch the next one faster and makes Marker increasingly integral to how the organization operates.\n\n## **Who we’re working with today**\n\nWe’re rebuilding companies from mid-size through Fortune 500.\n\n## **Why us**\n\nWe’ve sat on every side of this: founders selling into enterprises, operators transforming one from the inside, and executives responsible for enterprise AI. Marker is the company we wish we could have hired at Gap.\n\n## **Our ask**\n\n**If you are (or you know) a leader looking for real AI transformation—not another pilot, deck, or self-serve tool—please send them our way.**\n\nReach us via email at [**founders@onmarker.com**](mailto:founders@onmarker.com), or visit [**onmarker.com**](http://onmarker.com).", "url": "https://www.ycombinator.com/launches/SvE-marker-ai-native-consultancy-rebuilding-businesses-with-ai-agents", "votes": 72, "created_at": "2026-08-19T14:00:01.019Z" } ] }, { "id": 31572, "name": "GBrain", "slug": "gbrain", "former_names": [ "The Overton Window Company", "Gbrain.io", "gbrain.io" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7bf7b8a84de5df5cb99d1a5f1024ec159e9c14d.png", "website": "https://gbrain.io", "all_locations": "San Francisco, CA, USA", "long_description": "Like ChatGPT or Claude, but it runs in the cloud, remembers everything you give it, and comes loaded with skills. Hand it a job tonight and read the answer in the morning. Use it on your own, or with your whole team.", "one_liner": "A personal or team assistant that works while you sleep", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1789511395, "tags": [ "Workflow Automation", "Automation", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "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": [ { "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": "The three of us met building Garry's List. Every time we moved between AI tools we pasted the same API keys into the next one and explained the work all over again. \r\n\r\nNo existing tools were built for a team, either. We wanted one thing all three of us could prompt together, which is why gbrain.io is multiplayer.\r\n\r\nInitially, building this meant the three of us in a room spinning up an agent harness, initializing memory; installing skills, manually setting up integrations to external tools, and pasting API keys in one at a time. \r\n\r\nAfter copy-pasting that setup for a bunch of our friends, we built [gbrain.io](http://gbrain.io) for the world: the same thing, in the cloud, that sets itself up in one click." } ], "url": "https://www.ycombinator.com/companies/gbrain", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/gbrain.json", "year_founded": 2026, "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/f7bf7b8a84de5df5cb99d1a5f1024ec159e9c14d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4d795139c26bbadb2c8e2e7e6c3439df5cd41339.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1967, "full_name": "Brad Gessler", "title": "Founder/CEO", "founder_bio": "Cofounder & CEO Gbrain.io, P26. Cofounder & CTO of Poll Everywhere, S08. More at https://bradgessler.com/", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bradgessler/", "x_url": "https://twitter.com/bradgessler", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ed81cee17af9f19a6939a40140c4c7b3cb210d7.jpg" }, { "user_id": 1432803, "full_name": "Jamison Mercurio", "title": "Founder", "founder_bio": "Co-founder at Gbrain.io (P26). Previously co-founder and CEO of Mango Health (YC W24, AI mental health). Former Meta iOS and web engineer (Messenger Video Chat + Facebook News). Princeton CS Class of 2020.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jamison-mercurio", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a1e44f6d608ba967b54443148f9451fee30087c2.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 32154, "name": "Zomma", "slug": "zomma", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/019855257e473ab4938156b12e16e4a3214a2f51.png", "website": "https://zommalabs.com", "all_locations": "San Francisco, CA, USA", "long_description": "Zomma is building the AI workforce for financial services with computer-use agents that onboard like humans and scale like compute. Its agents handle KYC reviews, transaction alerts, and disputes on the same screens human analysts use, no integration.", "one_liner": "The AI BPO for financial servies, run by computer-use agents", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1783572526, "tags": [ "Robotic Process Automation", "Finance", "B2B", "Workflow Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "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/zomma", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/zomma.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/zomma", "x_url": "https://x.com/ZommaLabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/019855257e473ab4938156b12e16e4a3214a2f51.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b2b79e62b805cf93e198d9b3d4b6342664e73d7c.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 3128623, "full_name": "Jihyun Kim", "title": "Founder/CEO", "founder_bio": "Founder at Zomma (YC S26). Launched $1B Hedge Fund as the Founding Team and Head of Product. Scaled Asia's largest wealth tech (now $10B+ AUM). Second time founder. Ex-Goldman Sachs. Cornell and NYU Abu Dhabi.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kimjihyun/", "x_url": "https://x.com/jihprobs", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/67617ac3a534465e42aa00e5e395beaed235f970.jpg" }, { "user_id": 3597712, "full_name": "Varun Arumugam", "title": "Founder", "founder_bio": "Founder at Zomma (YC S26). Previously Founding ML Engineer at Bronco AI building agents for chip design verification. SWE at Apple on verification infrastructure. MS and BS in Electrical and Computer Engineering from UT Austin.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/varunarumugam/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/526b6e3a7761d998cfb1049aab57c89fa1f3cd11.jpg" }, { "user_id": 3627790, "full_name": "Cashel Fitzgerald", "title": "Founder/CTO", "founder_bio": "Co-founder at Zomma. Master's in Computer Science from Cornell. Built SOTA aerial object detection systems at Modern Intelligence. Previously engineered backend systems at 8am supporting $300M+ annual revenue and $20B+ yearly transactions. Trains VLMs for computer use.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cashelfitzgerald", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/69c3f4c9b45abfcd2073a8a53036f40eba0a1ce1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110619, "title": "Zomma: AI operations employees for finance back offices", "tagline": "Computer-use agents that work cross-border transaction alert investigations end to end: collect evidence, produce an assessment, draft an RFI.", "body": "We're building Zomma: AI operations employees for finance back offices, starting with cross-border transaction alert investigations.\n\n**TL;DR:** Zomma agents work directly inside the software your ops team already uses. No APIs, no integrations. For every cross-border alert, the agent gathers the evidence, writes the draft assessment, and drafts the RFI, end-to-end. Running live compliance-ops pilots with a US RIA and a $10B AUM wealth tech. 92% on OSWorld.\n\n\n\n## **The problem**\n\nCross-border payments trip more monitoring rules than anything else in the queue: sanctions name hits on foreign counterparties, high-risk corridors, first-time beneficiaries. Most alerts are false positives (McKinsey: over 90% in transaction monitoring), but every one still needs to be investigated. 20 to 60 minutes per case, across five or six systems, several with no API at all. And the evidence that clears them sits in foreign company registries and local-language adverse media. \n\nSo review capacity scales the only way it can: hiring. When hiring lags volume, alerts pile into backlogs that take months to clear, and backlogs are what regulators fine: $3.8B in AML penalties last year alone.\n\n## **What Zomma does**\n\nZomma agents work the queue on the same screens your analysts use: case manager, screening tool, admin panel, inbox, web search. Onboarding looks like hiring: an SOP and a login.\n\nOn a transaction monitoring alert, the agent\n\n* pulls the KYC profile and payment history\n* verifies the invoice and researches the counterparty, including registries you can only search by hand\n* writes a case-specific assessment with every claim cited to the source screen\n* drafts the RFI when documents are missing\n\nEvery step is logged and replayable: timestamped screenshots of every page checked, numbered citations, explicit no-match statements, a screen-by-screen trail an examiner can follow.\n\n## **Why start with cross-border alerts**\n\nIf an employee can do it on a screen, Zomma can learn it: the rest of the compliance queue, payment disputes, client onboarding, trade ops. Cross-border alerts come first because they have the exact shape our agents are best at: high-volume, parallelizable work that needs real reasoning but follows a defined workflow to a documented disposition. They're also the hardest cases to automate any other way: the evidence lives in registries and portals that will never have APIs. And agents scale with the queue: a volume spike means provisioning two more that afternoon; a BPO batch takes a month to train.\n\nComputer-use agents only recently got accurate enough to trust with a live queue, which is why we're building this now. Our state-of-the-art computer-use harness with our procedural and workflow memory system scores 92% on OSWorld.\n\n## **Team**\n\n* **Jihyun (CEO):** founding team at a Blackstone-backed hedge fund, scaled Asia's largest wealth tech, Goldman engineer.\n* **Cash (CTO):** backend systems behind $20B+ in yearly transactions, trains VLMs for computer use.\n* **Varun (CPO):** high-performance infra at Apple, design-verification agents at Bronco AI (YC S23).\n\nSend us \\~100 closed cross-border alerts and we'll show you what the agent would have done with them, or book a call: zommalabs.com/call.", "url": "https://www.ycombinator.com/launches/SmB-zomma-ai-operations-employees-for-finance-back-offices", "votes": 76, "created_at": "2026-08-18T16:00:00.082Z" } ] }, { "id": 32165, "name": "Rote", "slug": "rote", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/813e1a8e770c08e788937c21e5a62c42be5e08d9.png", "website": "https://tryrote.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Rote handles the entire negotiation lifecycle between shops and insurance companies to help them recover thousands of dollars in denied claims. Shops today lose millions per year because they lack the resources to negotiate with insurance companies that undervalue repair costs. Rote's agents recover denied revenue by taking shop estimates and referencing technical repair data to autonomously file and defend shop claims.", "one_liner": "AI-native insurance department for auto body shops", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1778719731, "tags": [ "B2B", "Workflow Automation", "Insurance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2027", "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/rote", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2027/rote.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tryrote/posts/?feedView=all", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/813e1a8e770c08e788937c21e5a62c42be5e08d9.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": 2644782, "full_name": "Aditya Mittal", "title": "Founder/CEO", "founder_bio": "Founder and CEO of Rote (YC W27). A CS student at Cornell, he built scaled iCloud Mail Intelligence at Apple and engineered the computer vision pipelines powering Toyota’s autonomous factory fleets. A 4x hackathon winner focused on agentic AI applications, he developed machine learning infrastructure for Raytheon and served as Vice President of the Cornell Entrepreneurship Club.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/i-am-adityamittal/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0159c08cfea4ee6b042ec817f2f46e75cde754ac.jpg" }, { "user_id": 2145284, "full_name": "Gabriel Castillo", "title": "Founder/CTO", "founder_bio": "Building the AI-native insurance department for auto body shops.\nCS @ Cornell | ex-SWE @ Apple (AI Tools & Automation). Previously built the fastest-growing dating app at Cornell.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gabriel-ach/", "x_url": "https://x.com/GabrielCasHe", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/221880e3316d6744168993c61917df5c43dc587b.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 32263, "name": "LinkLane", "slug": "linklane", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/622f0cd8620407da036d7d0809c1bb429c984f34.png", "website": "https://linklane.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "LinkLane helps businesses move freight with a click. Anyone can get a quote and book instantly, while our AI agents find the carrier, negotiate the rate, and manage every load from pickup to delivery. Trucking is a nearly $1 trillion market still run by call centers of brokers working the phones. We're bringing the Amazon experience to freight, making shipping cheaper and easier for every business.", "one_liner": "AI-powered freight brokerage. Quote, book, and track loads in seconds.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1791055548, "tags": [ "Digital Freight Brokerage", "Marketplace", "Workflow Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2027", "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/linklane", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2027/linklane.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/linklaneinc/home/", "x_url": "https://x.com/LinkLaneInc", "fb_url": "https://www.facebook.com/people/LinkLane-Logistics/61594691908252/", "cb_url": "https://www.crunchbase.com/organization/linklane#overview", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/622f0cd8620407da036d7d0809c1bb429c984f34.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 2669943, "full_name": "Christopher Ruaño", "title": "Founder/CEO", "founder_bio": "Building the future of freight at LinkLane (YC W27). Most recently studied and researched economics & computer science at Harvard.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/christopher-ruano/", "x_url": "https://x.com/chris_ruano_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7c8bed0196ea10515d9afd7894a9da506bcd6d80.jpg" }, { "user_id": 3615040, "full_name": "Patryk Wekwejt", "title": "Founder/COO", "founder_bio": "Patryk Wekwejt is the co-founder and COO of LinkLane. Harvard College '26. Previously a scientist.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/patrykwekwejt/", "x_url": "https://x.com/wekwejtpatryk", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1f54b94c127051660bbfc6b9ce8e6d021b54e163.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 32525, "name": "FlowManual", "slug": "flowmanual", "former_names": [ "ProManual" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7ea500c797163e99dad11a205953572d46a0034.png", "website": "https://flowmanual.com/", "all_locations": "San Francisco, CA, USA", "long_description": "FlowManual is the all-in-one AI estimating, bidding, and purchasing platform for both general and MEP construction contractors.\r\n\r\nBuilt by two engineers and Harvard dropouts, FlowManual automates the buying process during pre-construction. With FlowManual, specialty contractors win more work while general contractors deliver at higher standards.", "one_liner": "AI for Construction's Back Office", "team_size": 2, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1782366913, "tags": [ "SaaS", "Construction", "Workflow Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "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/flowmanual", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/flowmanual.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/flowmanual/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7ea500c797163e99dad11a205953572d46a0034.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": 3655483, "full_name": "David Shijoon Bae", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO @ FlowManual. Automating Construction Contract Procurement. Previously MechE @ Harvard.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shijoonbae/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d1f8cb67b8dff98305776484a9dd815171923863.jpg" }, { "user_id": 3054292, "full_name": "Michael Lin", "title": "Founder/CTO", "founder_bio": "Co-Founder and CTO at FlowManual. Previously SWE intern at Dijie, where he built a video-based landing page that scaled revenue from $3K to $336K MRR and reduced latency from 800ms to 100ms. Published CS researcher at UC Santa Cruz, co-authored paper submitted to IEEE IV 2025.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/itsmichaellin", "x_url": "https://x.com/immichaellin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7fbb62b7b30790e8c248f3f80ac177a3bb3c451c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109738, "title": "FlowManual — An AI-native back office for construction contractors", "tagline": "AI bidding, estimating, and purchasing for construction contractors, clearing risk without blind AI reliance.", "body": "Hey everyone! We’re David and Michael, co-founders of FlowManual.\n\n**What FlowManual is**: AI preconstruction for General and MEP contractors, executing projects while cutting risk. \n\n**TL;DR:** Construction contractors waste hundreds of hours monthly on manual tasks, sifting through 500-page PDFs only to miss fine print that can cost tens of thousands. FlowManual automates the back-office work before and during construction, so teams can reliably secure and complete projects faster than ever before.\n\n\\\n\\\n**The Problem:**\n\nMeet Jeremy. He’s a project manager at a mid-sized contractor, and his job is to secure projects and then make sure the company doesn’t lose money on already thin margins.\n\nA bid invite lands in his inbox. To put together one number his firm can send in, Jeremy has to read thousands of pages. A 400-page project manual, drawings, insurance, spec sections, and so much more. Buried somewhere inside all this print is a line that can ultimately decide whether this job makes or loses money. From a liquidated-damages clause to a scope item sneakily handed to the mechanical contractor, if Jeremy misses it, it’s a $5K-$10K mistake.\n\nJeremy’s got one week, three other bids on his desk, and no way to read all of it as carefully as he’d like. So he reads what he can and sends in a number.\n\nSay he wins. A change in the signed contract by the General Contractor or a sneaky difference in vendor pricing costs the company thousands after the fact. Every step of the way requires hundreds of pages of reading and referencing done under a deadline. And Jeremy does this for every job.\n\n**The Solution:**\\\nFlowManual automates these historical workflows that contractors run on, allowing teams to submit bids and complete projects faster than ever before. Here’s a couple major features:\n\n* AI Takeoffs from drawings\n* Drawing comparisons / overlay\n* Bid leveling\n* Contract Review\n\nOur software doesn’t do the job for you, but it works alongside you to reduce time spent and mistakes made.\n\n**About Us:**\\\nMichael and David were college roommates and engineers at Harvard. When renovations for a heater in our dorm took 6 weeks, we poked at the problem, realizing it stems from a larger issue. Through hundreds of conversations with professionals, we found an industry that ran on file cabinets, Excel, and page-by-page manual review.\\\n\\\n**Our Ask:**\n\n* **Know anyone in construction?** Connections to anyone in the industry, including on the legal and tech side, is greatly appreciated. Anyone in Project Management, Business Development, Marketing, IT are ideal! Reach us at [founders@flowmanual.com](mailto:founders@flowmanual.com) \n* **Feedback, intros, or just want to chat?** Book a call with us, or email [founders@flowmanual.com](mailto:founders@flowmanual.com)!", "url": "https://www.ycombinator.com/launches/SXy-flowmanual-an-ai-native-back-office-for-construction-contractors", "votes": 5, "created_at": "2026-08-10T13:00:00.161Z" } ] }, { "id": 32751, "name": "Vestris", "slug": "vestris", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e17d90c0a32a27bdb75bac6bb8a2ca4e0ad1646d.png", "website": "https://vestris.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Vestris automates title processing end-to-end, from contract to close, so title shops can close more deals with fewer processors. Title insurance has famously high margins, but slow, manual processing is a constant pain — especially in today's bleeding housing market.", "one_liner": "AI native platform for real estate closings", "team_size": 2, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Housing and Real Estate", "launched_at": 1783395705, "tags": [ "Workflow Automation", "Home Services" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Real Estate and Construction", "Housing and Real Estate" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vestris", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/vestris.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/119274035", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e17d90c0a32a27bdb75bac6bb8a2ca4e0ad1646d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/84c006c8048ba11d7ef2471745824fa60204e6d4.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 3411757, "full_name": "Joshua Tang", "title": "Founder", "founder_bio": "Founder at Vestris, with the goal of becoming an AI-native title company. Studied Computer Engineering at the University of Michigan, and built telemetry software for MRacing, the school's FSAE team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joshua-tang-449717279/", "x_url": "https://x.com/joshtang07", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/075afc25dd0ae0479f01d13c1b8edf88767414fc.jpg" }, { "user_id": 3411947, "full_name": "Aahil Valliani", "title": "Founder", "founder_bio": "Founder at Vestris. Previously founded Safe Kids AI, creating better mental health software for K-12 schools and scaled to over 10k+ users. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aahil-valliani", "x_url": "https://x.com/aahil__val", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b1b1692674aac1dc411abf6cae40e4deccd6f5f1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109429, "title": "Vestris: Al native title processing service", "tagline": "We allow title shops to close more deals", "body": "**TL;DR:** Title insurance is the thorn in the side of every single residential real estate transaction in America. With the home market bleeding, you'll find attorneys processing documents by hand with outdated software at title agencies. Vestris automates the back office and supplements processors the way software should — _letting shops give the same care to closing the biggest purchase of a buyer's life._\n\n\n\n### The Problem\n\nImagine you're shopping the market and you just found your dream home. You're ready to purchase, the contract is signed, everything is in place.\n\nAnd you're recommended a settlement company, and told to buy title insurance.\n\nMost homeowners couldn't tell you what title insurance actually buys them. In a nutshell: **you're paying for the peace of mind that the property you're buying has no open claims against it** — payments a title company makes on your behalf.\n\nBut it's also a process that takes weeks. Behind the phone, you've got lawyers processing files, manually checking emails, and scanning two seemingly identical documents for changes.\n\nMeanwhile, the incumbent software is a decade-old, per-file database whose premium plans put it out of reach for the small and mid-size shops that make up most of the market.\n\n### The Solution\n\nVestris runs the file end to end:\n\n**Reads everything on arrival** — every document that hits a processor's inbox is routed to the right order, new contracts spin up new files, and the routine back-and-forth is handled, so the first 30% of a file is done before a human even looks.\n\n**Does the math** — logs into county tax and land portals to pull up-to-date figures, then prorates taxes, utilities, HOA dues, and special assessments to the settlement date on that county's convention, every figure traced back to its source.\n\n**Drafts the commitment** — building Schedule A from the vesting and legal description and Schedule B from the exceptions in the record, the work a small shop waits a week and pays an abstractor hundreds for.\n\n**Closes it out** — reconciling the closing disclosure against the settlement statement, handling the lender back-and-forth, and showing the processor exactly what changed, so no one's squinting at two seemingly identical PDFs.\n\nEvery step still goes through human approval. What changes is bandwidth: **a mom-and-pop shop never has to turn down an order because they're swamped**, and they get to spend their time on the in-person care that made buyers seek them out in the first place.\n\n### The Team\n\nWe're Aahil and Josh, best friends and UMich roommates.\n\nAahil previously built SafeKids and holds three USPTO patents. He spent the summer closing files at a title shop, seeing the processor's grind firsthand.\n\nJosh previously built live-telemetry and communication systems for Michigan's Formula SAE team. He worked the same title desk, and stole the cubicle with the monitor 😠\n\n![uploaded image](/media/?type=post&id=109429&key=user_uploads/3411947/af48be0b-23b2-4cb5-9c1c-4eb5c7b45e50)\n\n### Our Ask\n\nWe're running Vestris in parallel at a title shop that settles millions in deals a month.\n\nIf you know anyone at **a title agency, escrow, or settlement company** — we'd love an intro.\n\nAnd if you've ever bought or sold a home, reach out! You probably have strong feelings about the title process :)\n\nYou can reach us at [founders@vestris.ai](mailto:founders@vestris.ai), or better yet, give us a call at +1 (571) 466 7878.", "url": "https://www.ycombinator.com/launches/SSz-vestris-al-native-title-processing-service", "votes": 15, "created_at": "2026-08-06T19:00:00.169Z" } ] }, { "id": 33055, "name": "Capto", "slug": "capto", "former_names": [ "chromie.dev", "Chromie" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/300579f704f4971abc355f226a91f0da7f7f38b4.png", "website": "https://gocapto.com/", "all_locations": "San Francisco, CA, USA", "long_description": "The intelligent operating system for government contracting. Built by AI engineers and former government officials.", "one_liner": "Build something the government wants", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1785887406, "tags": [ "GovTech", "Workflow Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "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/capto", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/capto.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/chromie-dev/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/chromie-dev", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/300579f704f4971abc355f226a91f0da7f7f38b4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e7b5908337f1787dba0fe86b95ef9cbb88b6f3db.png" ], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 2373564, "full_name": "Ananth Sankaralingam", "title": "Founder/CEO", "founder_bio": "Founder at GoCapto.com, bridging the gap between Silicon Valley and the US Government.\n\nPreviously studied AI/ML University of Maryland, published ML research at NeurIPS, and worked as an engineer at LinkedIn and Amazon. \n\nOutside of work, I love sports and music. I've completed a half iron man, perform Carnatic Music (I play the Mridangam, a South Indian drum), and post on my YouTube channel.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ananth-s/", "x_url": "https://x.com/_ananthhh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/808def4baf8fc8cb01cf72462f93ef1e5c32654c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109881, "title": "Chromie - AI OS for Government Contracting", "tagline": "Find, qualify, & win government contracts with AI", "body": "**TL;DR:** Chromie is the AI operating system for government contractors. We help teams find opportunities before the RFP drops, build the right relationships, test win strategies against real data, and draft winning proposals. All on top of a company brain that remembers everything your team has ever learned.\n\n\n\n\\\n**The problem**\n\nThe U.S. government is the largest buyer on earth, spending $800B on contracts every year. Yet the business is fundamentally relationship driven. Winning depends on understanding the agency, finding opportunities earlier than your competitors, and applying judgment built over years. \n\nToday, that work runs on gut instinct, fragmented tools, and institutional knowledge that disappears when people leave.\n\n**What Chromie does**\n\nChromie surfaces agency signals and expiring contracts years before an RFP is posted publicly, giving capture teams time to understand the customer and shape a credible pursuit.\n\n![uploaded image](/media/?type=post&id=109881&key=user_uploads/2373564/7796de7e-c1c5-4a18-b1ce-7036de7414dc)\n\nFrom there, teams can qualify opportunities, develop teaming and pricing strategies, and compare potential win strategies without wasting resources. Chromie’s PWin models are backtested against millions of verified award outcomes, helping teams augment intuition with evidence.\n\nOnce a team decides to bid, Chromie carries that strategy into proposal development. It maintains a **company brain** that connects capture, proposal, and contract-execution knowledge in one shared foundation, so each pursuit benefits from the company’s past experience.\n\n![uploaded image](/media/?type=post&id=109881&key=user_uploads/2373564/899638cb-afd8-40d6-81c5-e625eba27b75)\n\nWhat your team learns today strengthens the next pursuit.\n\n**Traction**\n\nChromie already supports contractors with 100+ prime awards and more than $250M in obligated contract value. These teams have used Chromie to 3x their monthly proposal output and win new awards.\n\n![uploaded image](/media/?type=post&id=109881&key=user_uploads/2373564/8292fe04-c346-49ba-9a3c-836b09c75f60)\n\n**Who we are**\n\nWe're Ananth and Akshay. We met in a high school English class and have been building together ever since. Between us we've built and scaled infrastructure at Google, LinkedIn, Plaid, and Amazon. We’re developing Chromie alongside former federal contracting officers and acquisition leaders with decades of government experience.\n\n**Our ask**\n\nWe'd love to connect with:\n\n* Government contractors, especially capture, BD, and proposal teams\n* Startups and companies trying to break into government contracting \n* GovCon and federal-sales experts willing to share what they’ve learned :)\n\nContracts are won by the companies that start earliest, remember most, and test how to win instead of guessing. If that's you, or you're trying to get there, reach out.\n\nLearn more at [chromie.dev](http://chromie.dev), or email [founders@chromie.dev](mailto:founders@chromie.dev) to find your company's fit in government contracting 🧩\n\n![uploaded image](/media/?type=post&id=109881&key=user_uploads/2373564/26ff0c87-9129-4af4-b345-f797f269e874)\n\n", "url": "https://www.ycombinator.com/launches/SaH-chromie-ai-os-for-government-contracting", "votes": 24, "created_at": "2026-08-10T17:48:31.293Z" } ] }, { "id": 33320, "name": "OneCLI", "slug": "onecli", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0405005492b7122ac5f4784e260fc64d7bd99053.png", "website": "https://onecli.sh", "all_locations": "San Francisco, CA, USA", "long_description": "OneCLI (YC S26) is an open-source platform for delegating business-critical work to AI agents, from Salesforce updates to data analysis and engineering investigations.\r\n\r\nAgents work across your company’s apps, prepare changes, and pause for approval when your rules require it. Your team controls what they can access and change, while credentials stay out of the agents’ reach and every call is logged.\r\n\r\nhttps://www.onecli.sh", "one_liner": "AI teammates for your business-critical work.", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1783888956, "tags": [ "AIOps", "B2B", "Workflow Automation", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "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/onecli", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/onecli.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/onecli", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0405005492b7122ac5f4784e260fc64d7bd99053.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 406823, "full_name": "Jonathan Fishner", "title": "Founder/CEO", "founder_bio": "Co-founder of OneCLI", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jonathanfishner", "x_url": "https://x.com/jonathanfishner", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6230ecfcb0be73a0475915f586f61d5139a12a58.jpg" }, { "user_id": 1935982, "full_name": "Guy Ben Aharon", "title": "Founder/CTO", "founder_bio": "Co-founder of OneCLI", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/guy-ben-aharon/", "x_url": "https://x.com/GuyBenAharon", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d2d3562621d02f714e16c1c63903eab6e5f71f23.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111185, "title": "OneCLI - Give every employee a secured, sandboxed pro assistant agent", "tagline": "Self-hosted agent harness for teams: sandboxed, policy-controlled, and never touching a real credential. Works from web and Slack.", "body": "Hi everyone 👋, we're Jonathan and Guy, founders of OneCLI.**\\\n\\\n🏆 TL;DR**\n\nOneCLI is an open source agent harness for teams. Each employee gets their own sandboxed pro assistant agent, connected to their GitHub, Gmail, Notion, Dropbox, or CRM right from the chat/Slack, while the whole workspace runs under one policy your admins control. \\\n\\\nAgents never hold real secrets: the credential is injected at the network layer, per request, after the call is authorized. You can't steal what isn't there.\n\n**Launch Video**\\\n\n\n🚧 **The Problem**\n\nLately, autonomous agents have arrived and shown up everywhere. Tools like OpenClaw and Hermes have become extremely popular and been adopted by open source communities, mostly by individuals. Companies, however, have been left behind: they need integration with their identity providers to enable easy provisioning of agents on behalf of an employee's identity, with least-privilege access.\n\nThose tools have fundamental flaws. Security fundamentals, like secret handling and organization-level control, are missing by default. So companies must choose between weak agents or making them powerful but risky.\n\n✅ **What OneCLI Does**\n\nOneCLI gives teams the whole harness, open source and self-hosted, so agents can be powerful and safe at once:\n\n* **Sandboxed agent per employee:** each agent runs isolated with its own memory, skills, and permissions.\n* **Secrets injected at the network layer:** the agent gets a placeholder, the gateway swaps in the real credential per request, after the call is authorized. Credentials never enter the agent's context, memory, or logs.\n* **Policy enforced outside the model:** admins define org-wide policy. Block endpoints and scope access per agent.\n* **Human-in-the-loop where it counts:** sensitive actions (send the email, delete the Linear ticket, empty the S3 bucket) wait for deterministic approval in the chat.\n* **Full identity trail:** every agent is bound to an employee, every call logged with who it acted for and which policy allowed it.\n\n🚀 **Team**\n\nWe've spent our careers in security. Jonathan built zero trust network access at Axis Security (acquired by HPE). The core ZTNA idea is that you never trust the client and enforce access outside it, at the network layer. Guy was the first employee at Argon (AppSec company acquired by Aqua Security), protecting client codebases. Agents need exactly the treatment ZTNA gives humans, so we built it.\n\n🙏 **Our Ask**\n\n* Do you want to provide each of your employees with a secure OpenClaw isolated in a sandbox? Shoot me an email: [jonathan@onecli.sh](mailto:jonathan@onecli.sh)\n* Star/try the repo:[ https://github.com/onecli/onecli](https://github.com/onecli/onecli). Self-host in minutes, free.", "url": "https://www.ycombinator.com/launches/SvJ-onecli-give-every-employee-a-secured-sandboxed-pro-assistant-agent", "votes": 29, "created_at": "2026-08-20T14:00:00.677Z" }, { "id": 106907, "title": "OneCLI - Your AI agents shouldn't be holding raw secrets", "tagline": "Agents hold placeholder tokens, real secrets get injected at the network layer", "body": "# **🏆 TL;DR**\n\n[**OneCLI**](http://onecli.sh) is an open-source credential gateway for **AI agents**.\\\nWhen an agent makes a call, OneCLI swaps in the real credential at the network layer and forwards it. The agent never touches the secret, **you can't steal what isn't there**.\\\n320K+ downloads, 2,500+ GitHub stars, and the default credential layer in NanoClaw (30K+ stars).\n\n**Ask:** If your team runs coding agents (Claude Code, Codex, Cursor) or autonomous agents in production. And if you can intro us to Head of DevOps or heads of DevSecOps at companies rolling out AI agents, email us at [jonathan@onecli.sh](mailto:jonathan@onecli.sh) \\\n\\\n**Sign up for free:** \n\n![uploaded image](/media/?type=post&id=106907&key=user_uploads/406823/5294ff50-4b88-4ee7-9c9c-3c776b5b45b5)\n\n\n\n# The Problem\n\nAI agents are doing real work now, which means they need real credentials: API keys, database passwords, OAuth tokens. And there's no safe way to hand them over.\n\nToday, every team does one of two things: hardcode secrets into **.env files** the agent can read, or build a one-off proxy hack. Both mean the **agent holds the secret**. An agent that holds a secret can leak it, through prompt injection, a malicious MCP server, a compromised dependency, or simply by pasting it into a log or a commit.\n\nSecrets management was designed for humans and **deterministic software**. Autonomous agents that read untrusted webpages, install packages, and write their own code are a fundamentally different threat model. The blast radius of one leaked production key is enormous, and teams are granting agents more access every week.\n\n# Our Solution\n\nOneCLI moves the credential out of the agent entirely.\n\nYou run one command, and every outbound call from your coding agent (Claude Code, Codex, Cursor, Cline) or autonomous agent (OpenClaw, Hermes, NanoClaw) routes through OneCLI. The agent only ever sees placeholder tokens. On each request, the proxy:\n\n1. Matches the request by host/path\n2. Checks it against policy\n3. Swaps the placeholder for the real credential\n4. Forwards the request\n\nThe agent never holds the secret, so there's nothing to steal, log, or exfiltrate. \\\nSecrets are AES-256-GCM encrypted at rest. The whole thing runs in a single Docker container with no external dependencies. It works with anything that can set HTTPS_PROXY.\n\nFor teams, we already support integration with IdPs and organization-wide policy setup, giving you full control and visibility over every access made by your agents.\n\n# Why this and not the PAM/identity vendors?\n\nBecause the credential problem for agents is a **network problem, not an identity problem**. Vault-based tools (1Password, HashiCorp Vault) still hand the secret to the agent to authenticate. The agent holds it, so the agent can leak it. OneCLI injects the credential at the wire: transparent injection, policy enforced on every outbound request, and the secret never enters the agent's context in the first place.\n\n# The Team\n\nWe've spent our careers in security. Guy (CTO) was the first hire at Argon (acquired by Aqua Security). Jonathan (CEO) worked on ZTNA and network security at Axis Security (acquired by HPE), after serving in Israeli Military Intelligence.\n\nWe hit this problem ourselves. Before OneCLI we built ChartDB together, an open-source database tool with 20K+ GitHub stars, and while building an agent orchestration layer on top of it, we kept hitting the same wall: there was no safe way to hand an autonomous agent credentials. Every team we talked to was either hardcoding API keys or duct-taping proxies. So we built the thing we wished existed.\n\n![uploaded image](/media/?type=post&id=106907&key=user_uploads/406823/ff451063-51d2-4c13-9c5f-cd1863b8c648)\n\n# The Ask\n\nIf you know a Head of DevOps or DevSecOps lead at a company rolling out AI agents, we'd love an intro.\n\n[jonathan@onecli.sh](mailto:jonathan@onecli.sh)", "url": "https://www.ycombinator.com/launches/RoJ-onecli-your-ai-agents-shouldn-t-be-holding-raw-secrets", "votes": 11, "created_at": "2026-07-23T13:44:46.846Z" } ] }, { "id": 33342, "name": "Nex", "slug": "nex", "former_names": [ "GarageSpace", "Inc.", "Nex", "Nex.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8f563ce5c802b34a01e9ad0f5641eb4bb092c6c.png", "website": "https://nex.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We build and deploy AI agents that manage prospecting, qualification, CRM hygiene, forecasting, lead routing, revenue recovery, and all the complex revenue work in between, on autopilot.", "one_liner": "Grok bot for GTM & Revenue teams", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1784187262, "tags": [ "AIOps", "Workflow Automation", "Sales" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "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/nex", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/nex.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nexdotai/", "x_url": "https://x.com/nexdotai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8f563ce5c802b34a01e9ad0f5641eb4bb092c6c.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": 1371335, "full_name": "Najmuzzaman (Nazz) Mohammad", "title": "Founder/CEO", "founder_bio": "CEO/Co-founder at Nex (YC S26).\n\nFounding hire at VentureBasecamp, an ed-tech product acquired by Wadhwani Foundation within 2 years.\nEarlier founded a profitable e-commerce business during college.\nPreviously Senior PM at HubSpot and Clipboard Health.", "is_active": true, "linkedin_url": "https://linkedin.com/in/najmuzzaman", "x_url": "https://x.com/najmuzzaman", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5bd335c3878a06175e6944df3acdedf99db2ab1b.jpg" }, { "user_id": 3636126, "full_name": "Francisco Dias", "title": "Founder/CTO", "founder_bio": "Just trying to help out.\n\n4th engineer on HubSpot CRM (pre-IPO, ~0 customers)\nCo-wrote HubSpot's first component library\nFirst product-focused engineer on HubSpot's AI infrastructure team; helped grow it into a new group\nMentored 10+ ICs into technical leads\n\nHelped ship one of the most ambitious responsive websites, BostonGlobe.com\n\n22 marathons and a sub-11 Ironman in 22 months\n\nBOS > ATL > SFO", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/frandias/", "x_url": "https://x.com/ffrandias", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fef4552be6d6bed0049c187c08b25e3fd19b792f.jpg" } ], "jobs": [], "news": [ { "title": "Show HN: A Karpathy-style LLM wiki your agents maintain (Markdown and Git) | Hacker News", "url": "https://news.ycombinator.com/item?id=47899844", "date": "Apr 24, 2026" } ], "launches": [ { "id": 111167, "title": "Nex - Claude Cowork for high-volume workflows, starting with GTM", "tagline": "AI that builds and runs the complex, high-volume GTM workflows only the world's best GTM engineers know how to build, at the price of a coffee.", "body": "**TL;DR:** Nex is Claude Cowork for high-volume workflows, starting with GTM. Describe a goal, and Nex builds an agent that runs it end to end across 1000+ integrations. The kind of work that would burn your entire weekly limit overnight on Claude or Codex runs on autopilot on Nex, for the price of a coffee, while that coffee brews. Try it at [nex.ai/signup](http://nex.ai/signup).\n\n _(Our AI-generated “The Office” parody video that went viral was taken down by YouTube. You can still [watch it here on LinkedIn](https://www.linkedin.com/posts/nexai-yc-s26-is-the-ai-gtm-engineer-that-ugcPost-7495214587882004480-Ch_b/?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAAseA8sB3xUI6osd_UWpcPBpx2tIFENh3N8)_)\n\n👋 Hey friends, we're Nazz and Francisco. We spent years at HubSpot running its three largest customer platforms, and we're backed by HubSpot founder Dharmesh Shah.\n\n**The problem: general-purpose agents aren't built for high-volume GTM**\n\nThe best GTM engineers can wire HubSpot, Clay, Outreach, Gong, and Slack into agents that run a revenue team. But run that same work through a general agent and it re-reasons every step, burns your entire weekly limit overnight, and still isn't reliable at volume. Almost nobody can hire enough GTM engineers to do it properly.\n\n**How Nex works**\n\nDescribe a goal, and Nex builds and runs the workflow across 1000+ integrations:\n\n* Lead generation, qualification, and enrichment\n* Scraping public records\n* Outbound over email and socials\n* CRM cleanup and hygiene\n* Re-engaging lost deals\n\nBecause most GTM work is repetitive and deterministic, Nex has AI write code for the predictable parts and run it fast without wasting tokens, saving AI judgment for the genuinely hard parts. That's how it breezes through high-volume work while not burning through your monthly AI budget in a day.\n\n**What that looks like**\n\nOn a single onboarding call, Nex audited thousands of records in a customer's HubSpot, flagged missing data, archived owners, bad associations, and zombie deals, and started fixing them before the call was over.\n\n**Why this matters**\n\nGTM is the beachhead. The same engine runs any high-volume workflow that's too slow and too expensive to run straight through a general model, and that pattern shows up in every operations-heavy function: finance reconciliations, support triage, recruiting outreach.\n\n**Our ask**\n\n* Try it free at [nex.ai/signup](http://nex.ai/signup)\n* If you run RevOps or GTM at a fast-moving company, we'd love to talk\n* If you know a RevOps or GTM leader, an intro would mean a lot: [founders@nex.ai](mailto:founders@nex.ai)", "url": "https://www.ycombinator.com/launches/Sv1-nex-claude-cowork-for-high-volume-workflows-starting-with-gtm", "votes": 7, "created_at": "2026-08-17T22:00:00.274Z" } ] }, { "id": 33606, "name": "Billow AI Labs", "slug": "billow-ai-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2c42b391e7d2cf9beb71d20f5ce1ed2b4e77e77d.png", "website": "https://thebillow.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Billow handles the work of Accounting and FP&A FTEs keeping teams compliant and audit-ready. We work within existing stacks (NetSuite, Coupa, and 80+ other systems) and complex spreadsheets, chasing down information and coordinating approvals across stakeholders. \r\n\r\nBuilt by repeat founders; Joan built and exited an accounting/ERP platform (45,000 businesses in 4 years) and Phil built Bloomberg's financial “brain” data infrastructure, and as CTO of a trading platform ($1B in volume). Advisors include CFOs, controllers, auditors from publicly-traded biopharma, and a Big-4 Accounting firm. ", "one_liner": "AI-native Accounting Firm that's killing Deloitte", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1784327267, "tags": [ "Finance", "B2B", "Workflow Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "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/billow-ai-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/billow-ai-labs.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/billow-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2c42b391e7d2cf9beb71d20f5ce1ed2b4e77e77d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ce73d929ec37820269e48e542e1af8c6deaf9d43.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 983067, "full_name": "Joanathan McIntosh", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Billow AI Labs. Repeat, exited founder - built an accounting/ERP software (45,000 businesses in 4 years). Formerly en-route to become a CPA/CFA, ex-Merrill Lynch and StreetLight Data (AI/ML for the U.S. government and regulated industries).", "is_active": true, "linkedin_url": "https://linkedin.com/in/joanathanlim", "x_url": "http://x.com/joanathanlmc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c7bb76a8542e736d8c8e672a059c389f9decd761.jpg" }, { "user_id": 548009, "full_name": "Philip Moniaga", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of Billow AI Labs. Phil (YC W22) had built Bloomberg’s finance \"brain\" data infra and co-founded/CTO of a trading platform ($1B+ in volume)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/philipmoniaga/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0748bfa571fe070604aad2bc278c30312f1a1d5b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110394, "title": "Billow - Killing Deloitte with AI", "tagline": "AI-native Accounting Firm for Enterprise", "body": "# **_We’re killing Deloitte with AI_**\n\n[https://drive.google.com/file/d/1YaUyJE-ZL0poxDAFGv962RniFsue5nyE](https://drive.google.com/file/d/1YaUyJE-ZL0poxDAFGv962RniFsue5nyE/view?usp=sharing)\n\n**Accounting is a $700B industry that hasn’t changed in 200 years.** Today, 80% of companies still do their accounting by hand – manually exporting data, building spreadsheets, and chasing approvals.\n\n**Billow is an accounting firm that replaces human accountants with AI agents.**\n\nWe connect to your existing tools (NetSuite, QuickBooks, and 80+ other systems) and use agents to provide faster, cheaper, and better accounting services. \n\n![uploaded image](/media/?type=post&id=110394&key=user_uploads/983067/43e1b7ba-2178-44e3-a001-690ad7b41766)\n\nThere is zero software for customers to use. Just integrate and we’ll close your books for you.\n\nIn the last three months, we went from an idea to partnering with Series B-D companies representing over $1B in enterprise value.\n\n**Team:**\n\n* [Joanathan McIntosh](https://www.linkedin.com/in/joanathanlim/) - Repeat VC-backed founder, built and exited an accounting/ERP platform (45k businesses in 4 years). Ex-Merrill Lynch and StreetLight Data (AI/ML for US Government)\n* [Philip Moniaga](https://www.linkedin.com/in/philipmoniaga/) - Repeat YC founder (W22). Built financial infra at Bloomberg and [Booking.com](http://Booking.com). CTO of a trading platform ($1B+ in volume).\n\n![uploaded image](/media/?type=post&id=110394&key=user_uploads/983067/0bf2a219-f426-444c-a7c2-dda2bbd7e6e7)\n\n**Ask - intros to:**\n\n* CFOs, Controllers, and VPs of Finance at companies with $40M+ in revenue or funding.\n* Fractional CFOs, accounting and advisory firms\n* **$5k referral or 1 US Open ticket for every closed customer.**\n\n[joan@thebillow.ai](mailto:joan@thebillow.ai) | [thebillow.ai](http://thebillow.ai)", "url": "https://www.ycombinator.com/launches/SiY-billow-killing-deloitte-with-ai", "votes": 70, "created_at": "2026-08-13T19:00:00.141Z" } ] }, { "id": 33969, "name": "OpenTag", "slug": "opentag", "former_names": [ "Gini Agent", "Gini", "OpenTag", "Open Tag" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c893158d06fb0a2865c30711a691fd486b8a7dcf.png", "website": "https://www.tryopentag.com/", "all_locations": "San Francisco, CA, USA", "long_description": "OpenTag is an AI coworker in your Slack with full context on your company. It answers questions and takes real work off your plate. It also keeps your wiki up to date automatically, so knowledge never goes stale.", "one_liner": "Model Agnostic AI coworker in Slack", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1787093671, "tags": [ "AIOps", "B2B", "Workflow Automation", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "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/opentag", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/opentag.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/109881466", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c893158d06fb0a2865c30711a691fd486b8a7dcf.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/790aa3ec5de0bba9ece0a6519e8daba6f10a2cff.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 802295, "full_name": "Tony Kam", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO at OpenTag. Previously at Tesla and founded Lilac Labs (S24). Studied EECS at Berkeley.", "is_active": true, "linkedin_url": "https://linkedin.com/in/tonyshekkam", "x_url": "https://x.com/tonykamshek", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/79ba45d01b5c5889e6430069721b3a279fa04e29.jpg" }, { "user_id": 3880379, "full_name": "Wilson Nguyen", "title": "Founder", "founder_bio": "Co-founder at OpenTag. Previously founding engineer at Lilac Labs (YC S24). Studied Computer Science at UC Berkeley.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nguyenwilson/", "x_url": "https://x.com/potatoparser", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/19a40eb53a4be1df58ecf47644f1c5154bd9ff7e.jpg" }, { "user_id": 1378729, "full_name": "Shelden Shi", "title": "Founder/CTO", "founder_bio": "Co-Founder and CTO at OpenTag. Previously founded Lilac Labs (S24). Studied CS and CogSci at UC Berkeley.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sheldenshi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92d85249cf52d37811253ebfde1164c62804c115.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111999, "title": "OpenTag - Model Agnostic Claude Tag", "tagline": "AI Super Coworker in Slack.", "body": "Hey everyone. You’ve might of heard of Open AI, Open Router, OpenCode, OpenWork….\n\nIntroducing [OpenTag](https://www.tryopentag.com/?utm_source=yc&utm_medium=referral&utm_campaign=yc-launch&utm_content=launch-page) - the model agnostic Claude Tag.\n\nWe started early access a 2 weeks ago and are live with 10 teams.\n\nIf you've seen Claude Tag, you know the interface: tag an AI in Slack, hand it a task, get the result in the thread. We think that's the right interface. We built OpenTag because we think the multiplayer harness should be model agnostic. When a better model ships, your coworker gets better the same day, benefiting from the performance and cost improvements.\n\nOpenTag is an AI coworker that lives inside of Slack. You invite it into the channels you want. It picks up how the company runs, how decisions are made, who owns what. It helps the team coordinate and builds automations for workflows that it sees as repetitive. It asks for tools and visibility the way an A-player hire does, and it tries to grow its own scope and agency. It starts as an intern and tries to earn the COO job. As it works, it writes a company wiki of how you actually run. That wiki compounds as a company brain, so OpenTag only gets sharper with time. Throw it anything. It does its best, and it asks for help when it’s blocked. The result lands in the thread, with sources, where the whole team can see it.\n\n**Four parts, one coworker:**\n\n1. **Ambient and proactive agents -** properly sandboxed with its own computer and browser, so you can trust them with actual tasks instead of babysitting chat windows.\n2. **A wiki that maintains itself —** no more stale handbooks. OpenTag writes down how the company actually runs and keeps it current. Teammates can read it. Agents can read it.\n3. **Automations that suggest themselves -** OpenTag watches how your team works and surfaces the repetitive stuff worth automating, so you're not designing workflows from a blank page.\n4. **Built for multiplayer** - OpenTag is designed with proper permissioning that matches how your team operates.\n\n**2 minutes to start.** Add OpenTag to Slack, invite it to the channels where work happens, give it a job. It’ll ask for the tools it needs (whatever the job touches). It only reads the channels you invited it to.\n\n**Built by software engineers who’ve shipped products used by millions.**\n\nThe three of us worked together at Lilac Labs (YC S24) and all went to Berkeley. Tony (CEO) was software at Tesla and Intel. Shelden (CTO) was at Flatiron Health, Roche, and Certik (cyber security). Wilson (Chief Engineer) was at Hewlett Packard Enterprise and Vestible, a regulated securities platform.\n\nOpenTag is the coworker we wanted at our last company, when we were the ones running every job.\n\n**Try OpenTag today**\n\nTry it at [www.tryopentag.com](http://www.tryopentag.com)\n\nTake 30 minutes with me: [book a demo.](https://cal.com/tony-kam-ympx2p/intro?overlayCalendar=true)\n\nWould love to hear your thoughts and feedback. You can email me at [tony@tryopentag.com](mailto:tony@tryopentag.com)\n\n![uploaded image](/media/?type=post&id=111999&key=user_uploads/802295/8d1c1925-f213-405e-bfd4-f9b9effd0095)\n\n", "url": "https://www.ycombinator.com/launches/T8R-opentag-model-agnostic-claude-tag", "votes": 6, "created_at": "2026-08-25T22:00:00.175Z" }, { "id": 111423, "title": "Gini: AI coworker that lives in Slack", "tagline": "Does the work in your channels and turns what it learns into a company brain.", "body": "Hi everyone, [Shelden](https://www.linkedin.com/in/sheldenshi), [Wilson](https://www.linkedin.com/in/nguyenwilson), and I ([Tony](https://www.linkedin.com/in/tonyshekkam/)) are cofounders of [Gini](https://ginicomputer.com/?utm_source=yc&utm_medium=referral&utm_campaign=yc-launch&utm_content=launch-page).\n\n[Gini](https://ginicomputer.com/?utm_source=yc&utm_medium=referral&utm_campaign=yc-launch&utm_content=launch-page) is a model agnostic proactive AI coworker that lives inside of Slack. You invite it into the channels you want. It picks up how the company runs, how decisions are made, who owns what. It helps the team coordinate and builds automations for workflows that it sees as repetitive. It asks for tools and visibility the way an A-player hire does, and it tries to grow its own scope and agency. It starts as an intern and tries to earn the COO job. As it works, it writes a company wiki of how you actually run. That wiki compounds as a company brain, so Gini only gets sharper with time. Throw it anything. It does its best, and it asks for help when it’s blocked. The result lands in the thread, with sources, where the whole team can see it.\n\n\n\n**Four parts, one coworker:**\n\n1. **Ambient and proactive agents -** properly sandboxed with its own computer and browser, so you can trust them with actual tasks instead of babysitting chat windows.\n2. **A wiki that maintains itself —** no more stale handbooks. Gini writes down how the company actually runs and keeps it current. Teammates can read it. Agents can read it.\n3. **Automations that suggest themselves -** Gini watches how your team works and surfaces the repetitive stuff worth automating, so you're not designing workflows from a blank page.\n4. **Built for multiplayer** - Gini is designed with proper permissioning that matches how your team operates.\n\n**2 minutes to start.** Add Gini to Slack, invite it to the channels where work happens, give it a job. It’ll ask for the tools it needs (whatever the job touches). It only reads the channels you invited it to.\n\n**Built by software engineers who’ve shipped products used by millions.**\n\nThe three of us worked together at Lilac Labs (YC S24) and all went to Berkeley. Tony (CEO) was software at Tesla and Intel. Shelden (CTO) was at Flatiron Health, Roche, and Certik (cyber security). Wilson (Chief Engineer) was at Hewlett Packard Enterprise and Vestible, a regulated securities platform.\n\nGini is the coworker we wanted at our last company, when we were the ones running every job.\n\n**Try Gini today**\n\nTry it at [ginicomputer.com](https://ginicomputer.com/?utm_source=yc&utm_medium=referral&utm_campaign=yc-launch&utm_content=try-cta).\n\nTake 30 minutes with me: [book a demo.](https://cal.com/tony-kam-ympx2p/intro?overlayCalendar=true)\n\nWould love to hear your thoughts and feedback. You can email me at [tony@ginicomputer.com](mailto:tony@ginicomputer.com)\n\n![uploaded image](/media/?type=post&id=111423&key=user_uploads/802295/f974cf1c-1978-4418-a1e6-5fdc6de258f8)\n\n", "url": "https://www.ycombinator.com/launches/Sz9-gini-ai-coworker-that-lives-in-slack", "votes": 101, "created_at": "2026-08-20T13:00:00.616Z" } ] }, { "id": 36016, "name": "Pomerado", "slug": "pomerado", "former_names": [ "Toolsmith" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d4ea3739a0bbffad42b3f827b3d69b5ad605a8f.png", "website": "https://www.pomerado.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Pomerado turns any website into an API / MCP in minutes. Connect your agents to legacy portals, consumer websites, and internal tools. \r\n\r\nWhy Pomerado:\r\n • 7x faster than browser agents on customer workflows\r\n • 100x cheaper than browser agents\r\n • Self healing, deterministic APIs\r\n • Universal website coverage\r\n • Hosting, authentication, and permissions handled\r\n\r\nCustomers can use us to:\r\n • automate back office workflows on legacy systems (ERP, EHR, CRM)\r\n • speed up customer integrations for forward deployments\r\n • connect enterprise assistants to internal tools\r\n • supercharge personal assistants with fast and reliable browser use\r\n\r\nWe’re ex-McKinsey and Scale AI. We drove enterprise agent deployments at F500s and orgs like the Mayo Clinic. We saw how legacy systems block agent development and AI transformations; Pomerado turns those systems into AI-native components automatically.", "one_liner": "Turn any website into an MCP for your agents, in minutes", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1791788322, "tags": [ "Developer Tools", "B2B", "Workflow Automation", "API", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "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/pomerado", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/pomerado.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pomerado/", "x_url": "https://x.com/home", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d4ea3739a0bbffad42b3f827b3d69b5ad605a8f.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": 2657756, "full_name": "Akshay Manglik", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Pomerado (YC F26). Previously Applied AI Engineer at Scale AI, where I built frontier agents for enterprises in telecom, finance, and healthcare, such as the Mayo Clinic.\n\nLed Scale's research on agentic trace analysis for recursive agent optimization. Published ML research in Nature Communications and NeurIPS IAB workshop.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/akshay-manglik/", "x_url": "https://x.com/akshay_manglik", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6ff94e97b1746aa73487deb7f786228af7de43f4.jpg" }, { "user_id": 4166436, "full_name": "Alan Ma", "title": "Founder", "founder_bio": "Co-founder at Pomerado (YC F26). Previously Business Analyst at McKinsey, setting Data and AI strategy for F500 companies. Mathematics and Computer Science at Columbia", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ajma867/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6a24f3d62778bfb1147f0ff82b10cbe2322cc3fb.jpg" } ], "jobs": [], "news": [], "launches": [] } ]