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Vehicles will be driving more miles and the decreased complexity of electric motors will fundamentally change the automotive service industry. ROBOTIRE will bring manufacturing-level automation to vehicle servicing. \r\n\r\nTires are the perfect vertical to tackle first because they are future-proof (tires are going nowhere) and scale from luxury personal automobiles to freight-centric big-rigs. The current tire changing industry is entrenched with an aging workforce but maintains strong margins. We will build and deploy a robotic tire changing container that can change tires in 10 minutes. \r\n\r\nOur fully-integrated ROBOTIRE containers can be placed inside existing shops, Walmart parking lots or in the middle of a fleet service area hundreds of miles away from a major city. In the medium term, we will expand to brakes, oil, batteries, etc. becoming an uptime assembly line that keeps fleets on the road 24/7 at a fraction of the maintenance cost per mile we see today. 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Some of his equipment is installed and operational at well-known tech companies including Tesla, SpaceX, Zume Pizza, Space System Loral, Zee Aero, Intel & Lam Research.\n \n\n", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/victor-darolfi-92b17311/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b5eb08936745ea3bf80dc78b253c312d1c394772.jpg" }, { "user_id": 482568, "full_name": "Will Mapes", "title": "Founder", "founder_bio": "", "is_active": false, "linkedin_url": "https://linkedin.com/in/wmapes7", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/544adfa8f6016cbbf890494bc7b39bca39d02ca6.jpg" } ], "jobs": [], "news": [ { "title": "VIDEO: Arlington Discount Tire uses tire-changing robot to help speed process", "url": "https://www.dallasnews.com/video/2023/03/03/video-arlington-discount-tire-uses-tire-changing-robot-to-help-speed-process/", "date": "Mar 03, 2023" }, { "title": "RoboTire Installs First Revolutionary Tire Changing System at Discount Tire", "url": "https://www.prnewswire.com/news-releases/robotire-installs-first-revolutionary-tire-changing-system-at-discount-tire-301601109.html", "date": "Aug 13, 2022" }, { "title": "RoboTire raises $7.5M to automate tire replacement – TechCrunch", "url": "https://techcrunch.com/2021/10/07/robotire-raises-7-5m-to-automate-tire-replacement/", "date": "Oct 07, 2021" } ], "launches": [] }, { "id": 13351, "name": "Morphle Labs", "slug": "morphle-labs", "former_names": [ "Morphle Technologies Private Limited", "Morphle" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c76097b716ca7b82f6b26beb694f3ab12e87aab6.png", "website": "https://morphlelabs.com", "all_locations": "Bengaluru, KA, India", "long_description": "", "one_liner": "Robotic Automation for cancer diagnostics - Robotic Microscopes &…", "team_size": 65, "industry": "Healthcare", "subindustry": "Healthcare -> Medical Devices", "launched_at": 1584114914, "tags": [ "Hardware", "Robotics", "Health Tech", "Medical Devices", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2020", "status": "Active", "industries": [ "Healthcare", "Medical Devices" ], "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/morphle-labs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2020/morphle-labs.json", "year_founded": 2017, "city": "Bengaluru", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/morphle/", "x_url": "https://twitter.com/MorphleDigiPath", "fb_url": "https://www.facebook.com/morphlelabs", "cb_url": "https://www.crunchbase.com/organization/morphle", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c76097b716ca7b82f6b26beb694f3ab12e87aab6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 215164, "full_name": "Rohit Hiwale", "title": "Founder", "founder_bio": "A product geek & a hard tech enthusiast solving unique problems in vision guide robotics starting with medical devices.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rohithiwale/", "x_url": "https://twitter.com/hiwalle", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/85216d449d71fe18457b0296f1ab3b2e28b39bd3.jpg" } ], "jobs": [ { "id": 67506, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/morphle-labs/jobs/N2I8gal-senior-software-engineer", "location": "Bengaluru", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "₹2.5M - ₹4M INR", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Angular", "Django", "Java" ] } ], "news": [], "launches": [] }, { "id": 22063, "name": "Cohere", "slug": "cohere", "former_names": [ "Manted", "Caldera" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/32c0c4a9037b18f0766620c8e9958d684b7e11ac.png", "website": "https://cohere.io", "all_locations": "New York City, NY, USA; 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New York, NY, USA; Remote", "long_description": "Smartcuts is a Chrome extension that lets you automate anything in your browser, without code. Record your clicks and keystrokes, and replay them later on similar web pages to automate repetitive work. It's like Excel macros for any website.", "one_liner": "Chrome extension to turn clicks & keystrokes into no-code automations", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1614992474, "tags": [ "No-code", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2021", "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/smartcuts", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/smartcuts.json", "year_founded": 2019, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trysmartcuts", "x_url": "https://twitter.com/trysmartcuts", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd7d9caab849df9fa640c2d7e570d9553f12cb7c.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": 33448, "full_name": "Brian Noguchi", "title": "Founder", "founder_bio": "Founder of Smartcuts (W21) and cofounder of Lever (S12).", "is_active": true, "linkedin_url": "https://linkedin.com/in/briannoguchi", "x_url": "https://twitter.com/briannoguchi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9d657196165fc57d2a6d843b6711475ca60c6b29.jpg" } ], "jobs": [ { "id": 43433, "title": "Software Engineer & Employee #4", "url": "https://www.ycombinator.com/companies/smartcuts/jobs/bsu2s2O-software-engineer-employee-4", "location": "Remote", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 43434, "title": "Lead Designer & Employee #4", "url": "https://www.ycombinator.com/companies/smartcuts/jobs/vySfPku-lead-designer-employee-4", "location": "New York / Remote", "type": "Full-time", "role": "Design", "role_type": "Web design", "salary_range": "", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [] }, { "id": 22741, "name": "Laudspeaker", "slug": "laudspeaker", "former_names": [ "Askly", "Tachyon" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a3b42d39456545bb9b0fc5c6bcccfb598bd73cfb.png", "website": "https://laudspeaker.com/?ref=bf", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Open source mobile marketing automation and customer onboarding platform. Alternative to braze customer io / iterable / pendo / appcues . Segment and engage your users with complex scheduled push notification, sms and email campaigns. (acquired by PostHog)", "one_liner": "Open source mobile marketing platform. Alternative to appcues /…", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1611772724, "tags": [ "SaaS", "B2B", "Open Source", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Acquired", "industries": [ "B2B", "Marketing" ], "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/laudspeaker", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/laudspeaker.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://twitter.com/laudspeaker", "fb_url": null, "cb_url": null, "github_url": "https://github.com/laudspeaker/laudspeaker", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a3b42d39456545bb9b0fc5c6bcccfb598bd73cfb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 362639, "full_name": "Abheek Basu", "title": "Founder", "founder_bio": "CEO of Laudspeaker (acquired by PostHog W20 in May 2025)\nFormerly a product manager and software engineer.\nEngineering degree from Penn and business degree from Wharton (M&T)", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/abheek-basu-4a72a398/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/826c82eac7358febe3e34cb845e7f24fa4886ded.jpg" }, { "user_id": 270821, "full_name": "Mahamad Charawi", "title": "Founder", "founder_bio": "CTO of Tachyon\nFormerly a senior software engineer at Cisco\nEngineering degree from Penn and business degree from Wharton (M&T)", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/mahamad-c-a025b9193", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f9fc7d17c6540a7b71261075bba936c68a528041.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 67457, "title": "Laudspeaker: Open source cross-channel customer messaging. Send emails, Slack + more, automated", "tagline": "An Open Source alternative to customer io / braze / iterable", "body": "Tl;dr: You can self-host or use our hosted offering of a customer io / braze / iterable alternative, so you can send product/ event-triggered cross-channel messages while keeping control of your customer data.\n\nStar the repo [here](https://github.com/laudspeaker/laudspeaker).\n\n**Laudspeaker is the open source customer io and braze alternative** that powers event-triggered cross-channel messages. Have emails, slack, and more automatically reach your users when, where and how you want.\n\nUse our easy to use no-code builder to create cross channel ‘customer journeys’ like this:\n\n![](https://uploads-ssl.webflow.com/636148ce188ecb92e3a6c055/6362dbf442adb780bbf6b4bd_%5B720p%5DJourney-Builder-v2.gif)\n\n### **Why build another cross-channel automation product?**\n\nIn the past when we used \"customer engagment\" products or \"cross channel marketing\" products like braze we were both uneasy about having to send customer data to various 3rd party tools, and frustrated by how expensive and hard to use many of the offerings were. \n\n### **We wanted to build something that:**\n\n* Allows you to stay in control of your customer data (self host, export/import data)\n* Is affordable\n* Has a rapidly increasing number of messaging channels (email, slack, sms (beta) and soon more!)\n* Integrates well with product analytics software (we have a posthog plugin)\n* Is performant\n* Plays well with the modern data stack\n\nWe think Laudspeaker is differentiated by being open source and hitting the above points.\n\n### **How can I get started?**\n\n\\- If you want to self host, download our repo and follow the instructions on [github](https://www.producthunt.com/products/leadshunt):\n\n\\- If you want to try our hosted offering sign up [here](https://app.laudspeaker.com/signup).\n\n\\- [twitter](https://twitter.com/laudspeaker)\n\n\\- [product hunt](https://www.producthunt.com/products/laudspeaker)", "url": "https://www.ycombinator.com/launches/HY1-laudspeaker-open-source-cross-channel-customer-messaging-send-emails-slack-more-automated", "votes": 7, "created_at": "2024-01-09T21:22:33.535Z" }, { "id": 72214, "title": "Laudspeaker In-app guide designer", "tagline": "Let us set up in-app guides / onboarding for you!", "body": "Hey YC!\n\nLaudspeaker now offer in-app guides / product onboarding, so you can design beautiful modals with buttons and interactions that drive specific actions on your site.\n\nHere's what it looks like:\n\n![uploaded image](/media/?type=post&id=72214&key=user_uploads/362639/59de7f19-0ea4-43b1-8a38-280d6de75f0d)\n\nYou can use these modals, as tutorials, tours, banners really any thing to drive deeper product/feature adoption. Our modal designer allows you to capture your existing product style, and lets you create and change campaigns without having to include engineering effort on every single change.\n\nWe also allow you to:\n\n\\- track user state so you know which step a user is on\n\n\\- create complex campaigns that include emails, and other out of product messaging.\n\n\\- integrate with product analytics systems so you trigger a tour based on a user event\n\n\\- target anonymous users (most other platforms make this hard)\n\nIf you are considering Pendo, appcues or something similar you should consider us instead, we will go beyond offering you a deal on price and actually help you set up the modal flows and optimize them so you achieve your goal.\n\nHere's a [video of our designer](https://www.loom.com/share/2632226ec0eb4a17a5ed98b01c5abb2a?sid=50ea554b-1ef3-410c-a0f4-6cdafe4d7026)!\n\n**Our Offer:**\n\nWe'll build and design your modals and in app guides/messages for you, and get you set up and running! Feel free to email abe \\[at\\] laudspeaker, or schedule time on my [cal](https://cal.com/laudspeaker/20-min-meeting) and we can figure out if we are a fit.\n\nWe can only work with the first ten or so companies who reach out and are a fit so get the offer while its hot!", "url": "https://www.ycombinator.com/launches/Imk-laudspeaker-in-app-guide-designer", "votes": 13, "created_at": "2023-06-12T20:05:04.164Z" }, { "id": 70036, "title": "Laudspeaker v1.1.0 open-source customer journey automation - a braze / iterable alternative", "tagline": "Open Source Omnichannel Messaging. Email, SMS, Push + more, automated", "body": "**Tl;dr:** Our open source customer journey automation tool / customer io / braze alternative, is picking up steam, and we support many more features and channels now! Use a tool product marketers love, that is developer friendly, and can be self hosted!\n\nStar the repo [here](https://github.com/laudspeaker/laudspeaker).\n\n![uploaded image](/media/?type=post&id=70036&key=user_uploads/362639/0b45cf85-4e87-4c87-9d5f-c4706d834f74)\n\n**Laudspeaker is the open source customer io and braze alternative** that powers event-triggered cross-channel messages. Have emails, sms, and push automatically reach your users when, where and how you want.\n\n### **🚀 Since our last launch:**\n\nWe’ve been working like crazy, onboarding customers and responding to feature requests. Our [github](https://github.com/laudspeaker/laudspeaker) repo has been picking up steam and we now have many new contributors.\n\nWith this release we have added:\n\n* New Channels (SMS, firebase push)\n* Improved the UX of our journey builder no code tool\n* Added time delays, and time windows as options for sending messages so you can send drip campaigns\n* Added the ability to create user segments\n* Added database imports (postgres) for customers, and csv imports\n* Improved our PostHog Plugin\n\n### **How can I get started?**\n\n\\- If you want to self host, download our repo and follow the instructions on [github](https://github.com/laudspeaker/laudspeaker):\n\n\\- If you want to try our hosted offering sign up [here](https://app.laudspeaker.com/signup).\n\n\\- [twitter](https://twitter.com/laudspeaker)\n\n\\- [product hunt](https://www.producthunt.com/products/laudspeaker)", "url": "https://www.ycombinator.com/launches/IDc-laudspeaker-v1-1-0-open-source-customer-journey-automation-a-braze-iterable-alternative", "votes": 23, "created_at": "2023-03-08T05:24:31.508Z" }, { "id": 67458, "title": "Laudspeaker: an opensource customer io / braze / iterable alternative", "tagline": "Open Source Cross-Channel Messaging. Email, Slack + more, automated", "body": "Tl;dr: You can self-host or use our hosted offering of a customer io / braze / iterable alternative, so you can send product/ event-triggered cross-channel messages while keeping control of your customer data.\n\nStar the repo [here](https://github.com/laudspeaker/laudspeaker).\n\n**Laudspeaker is the open source customer io and braze alternative** that powers event-triggered cross-channel messages. Have emails, slack, and more automatically reach your users when, where and how you want.\n\nUse our easy to use no-code builder to create cross channel ‘customer journeys’ like this:\n\n![](https://uploads-ssl.webflow.com/636148ce188ecb92e3a6c055/6362dbf442adb780bbf6b4bd_%5B720p%5DJourney-Builder-v2.gif)\n\n### **Why build another cross-channel automation product?**\n\nIn the past when we used \"customer engagment\" products or \"cross channel marketing\" products like braze we were both uneasy about having to send customer data to various 3rd party tools, and frustrated by how expensive and hard to use many of the offerings were.\n\n### **We wanted to build something that:**\n\n* Allows you to stay in control of your customer data (self host, export/import data)\n* Is affordable\n* Has a rapidly increasing number of messaging channels (email, slack, sms (beta) and soon more!)\n* Integrates well with product analytics software (we have a posthog plugin)\n* Is performant\n* Plays well with the modern data stack\n\nWe think Laudspeaker is differentiated by being open source and hitting the above points.\n\n### **How can I get started?**\n\n\\- If you want to self host, download our repo and follow the instructions on [github](https://github.com/laudspeaker/laudspeaker):\n\n\\- If you want to try our hosted offering sign up [here](https://app.laudspeaker.com/signup).\n\n\\- [twitter](https://twitter.com/laudspeaker)\n\n\\- [product hunt](https://www.producthunt.com/products/laudspeaker)", "url": "https://www.ycombinator.com/launches/HY2-laudspeaker-an-opensource-customer-io-braze-iterable-alternative", "votes": 23, "created_at": "2022-11-22T01:33:52.593Z" } ] }, { "id": 22855, "name": "Mindee", "slug": "mindee", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/be982807a0a8b2d7a22e6247219e680616ddd517.png", "website": "https://mindee.com", "all_locations": "Paris, Île-de-France, France; San Francisco, CA, USA; London, England, United Kingdom", "long_description": "Documents are everywhere. Through all industries, understanding their content is a critical step of many processes that software builders throughout the globe want to automate.\r\n\r\nWe focus on the science, the AI, the deep learning to give these builders the one API they need to automate the understanding of documents and give their software human-like superpowers.\r\n\r\nBased on three pillars:\r\n- A product: a universal self-service platform where builders can train their own models\r\n- A catalog of use-cases: We push critical use cases to the limits of human performances in critical markets such as Accounting software, AP Automation, Expense Management, KYC and many others\r\n- A internal capability to make tailor-made AI: We answer to specific needs from large customers that needs a custom AI of their own to handle their use cases", "one_liner": "AI Document Understanding API", "team_size": 60, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1623073794, "tags": [ "Deep Learning", "Developer Tools", "Automation", "AI", "APIs" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "France", "United States of America", "United Kingdom", "Europe", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mindee", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/mindee.json", "year_founded": 2018, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/mindee", "x_url": "https://twitter.com/MindeeAPI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/mindee", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/be982807a0a8b2d7a22e6247219e680616ddd517.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": 515655, "full_name": "Jonathan Grandperrin", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jonathan-grandperrin-47014563/", "x_url": "https://twitter.com/JGrandperrin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/700aa538bbdf949e86759d6b45dcbed20c41f9b8.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 23958, "name": "Abstra", "slug": "abstra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7fbfc5106c32c35b1a0242652667b0ea1ceb47b8.png", "website": "https://abstra.io", "all_locations": "São Paulo, SP, Brazil; Remote", "long_description": "Abstra is a platform that allows finance teams to build, run, and automate their workflows using Python and AI.\r\n\r\nInstead of relying on spreadsheets, ERPs, and manual processes, teams can create programmable workflows for tasks like reporting, reconciliations, approvals, and integrations with systems like SAP.\r\n\r\nWe provide a developer-friendly environment where finance and technical teams can turn business processes into code, connect to their existing tools, and run everything in a controlled, auditable way.\r\n\r\nOur goal is to become the operating system for finance operations, where workflows are not static or manual, but versioned, automated, and continuously improved.", "one_liner": "Automate finance operations with Python and AI", "team_size": 18, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1625673912, "tags": [ "SaaS", "Finance", "B2B", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Brazil", "Latin America", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/abstra", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/abstra.json", "year_founded": 2020, "city": "São Paulo", "country": "BR", "linkedin_url": "https://www.linkedin.com/company/abstra-tech", "x_url": "https://twitter.com/abstra_cloud", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/abstra", "github_url": "https://github.com/abstra-app/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7fbfc5106c32c35b1a0242652667b0ea1ceb47b8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 512795, "full_name": "Bruno Vieira Costa", "title": "Founder", "founder_bio": "I'm Bruno, founder of Abstra. I'm a computer engineer and programmer since 7.\n\nPrevious Abstra, I co-founded an edtech called PaperX where I was CTO. I sold it during college to Descomplica (biggest edtech in Brazil) where I worked after as Product Manager and Tech Lead.\nAlso, I co-founded a Game Studio called Sinextra where I was Game Designer before college.\n\nI love all kind of creative activities, from making music, comics, games or software.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brunovcosta/", "x_url": "https://twitter.com/bruno_vcosta", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5673d2e20e76c934bfd0bf0de872d9d527844c89.jpg" } ], "jobs": [], "news": [ { "title": "Brazil’s Abstra lands Accenture as a customer and $2.3M to help teams make apps with its no-code tool – TechCrunch", "url": "https://techcrunch.com/2022/01/03/brazils-abstra-lands-accenture-as-a-customer-and-2-3m-to-help-teams-make-apps-with-its-no-code-tool/", "date": "Jan 03, 2022" } ], "launches": [ { "id": 80549, "title": "Abstra: Scale critical business processes with Python + AI", "tagline": "Automate and manage operations with the power of code – without the overhead.", "body": "**TL;DR:** [Abstra](https://abstra.io/?ref=yc-launch) is a Python-based workflow engine to design and manage custom business processes with no overhead, powered by AI. Merge automated tasks with manual reviews, gain real-time insights into operations, and track history with git-compatible versioning & auditable logs.\n\n![uploaded image](/media/?type=post&id=80549&key=user_uploads/512795/6038e404-1f1f-4389-9d6c-304c36dadbfd)\n\n\n\n\\\nThe Big Problem\n\nEvery company faces **growing pains** – new people must be **hired,** work needs to **scale**, more **compliance** regulations come knocking.\n\nSuddenly, building **better internal processes** becomes critical – think onboarding, CS or financial systems. Ideally they're fast to build, easy to manage and audit, and intuitive for everyone.\n\nHowever, the top of mind solutions have **tough trade-offs**.\n\n* Choose no-code for **speed**, but lose customization and **auditability** – and end up with un-debuggable mess of automations no one truly understands.\n* Opt to build in code for refinement, but sacrifice **months of expensive work** from engineers, who are focused on critical product tasks.\n\nAt this intersection of agility, power and governance, Abstra was born 🐣\n\n### Our Workflows\n\nWith Abstra Workflows, teams can spin up robust **business process automation in Python** as fast as they would with no-code, freeing up valuable time.\n\nDesign and **orchestrate** fully custom flows for solutions that fit **seamlessly** into your processes.\n\n![uploaded image](/media/?type=post&id=80549&key=user_uploads/512795/0507502c-c2b3-4721-adf5-e2c087e28ae7)\n\nAnd not only devs: with our AI features, **anyone with basic Python** skills can safely get **autonomy** from engineering teams. No technical overhead and countless **out-of-box benefits**, such as compliant logging, refined access control and custom notifications.\n\nSee beyond basic task automation to **tame** **critical** company **processes**, with **full visibility** into your challenges.\n\n![uploaded image](/media/?type=post&id=80549&key=user_uploads/512795/b13697ea-1739-47f5-9bc4-35c456e173e9)\n\n### How to get started\n\nIf you currently need to automate any company process and you tick one of these boxes:\n\n* You are struggling with no or low-code tools\n* You have critical scripts running locally in someone's machine\n* You need to give non-technical team members autonomy\n* You want visibility into how processes are being edited and executed\n* You are a Python fan\n\nAbstra was made for you. [Book a quick chat here](https://meet.abstra.app/sophia?url=yc-launch) – get 22% off if you sign up by May 8th.\n\nCheck out [abstra.io](http://abstra.io?ref=YC) for more!", "url": "https://www.ycombinator.com/launches/KxB-abstra-scale-critical-business-processes-with-python-ai", "votes": 121, "created_at": "2024-05-01T14:09:32.478Z" } ] }, { "id": 25311, "name": "Lumina", "slug": "lumina", "former_names": [ "Lumina", "TazkerAI / Lumina" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/79b74bf1a8009a0f4c3b0fd036ff57515ff6760b.png", "website": "https://www.lumibot.com", "all_locations": "Singapore, Singapore; Remote", "long_description": "🚀 Lumina💧 (YC W22) is a fast growing job platform in Southeast Asia with 1.5 million workers, helping 30k companies recruit and optimize at scale.\r\n\r\n🤖 We are now expanding globally with Lumibot, a bespoke AI+human-powered automation service. We help companies automate mundane, repetitive processes with AI and human-in-the-loop catering for various use cases in data ops and complex workflows. This allows your business to focus on your core and grow faster, better and cheaper.\r\n\r\n👌Our AI-powered automation start with USD 13/hour, supplemented with human-in-the-loop at USD 2-6/hour. Our services are managed based on SLAs by dedicated service managers under a prepaid credit system without arduous contracts for optimum flexibility. No minimum commitment with fully-refundable deposit from as low as USD 500^.\r\n\r\n🛠️ We currently support the following use cases:\r\n1) operations support\r\n2) revenue operations support\r\n3) web and social media management\r\n4) email management\r\n5) content moderation\r\n6) AI training and verification\r\n7) AI text humanization\r\n8) custom process automation\r\n... with more to come ...\r\n\r\n👥️️ Lumibot (by Lumina) is backed by Y-Combinator, Monk's Hill Ventures, Alpha JWC, Goodwater Capital, SWC Global and January Capital.\r\n\r\nMore information about us:\r\n* 💬 WA: https://wa.me/message/SEMGBRM22MDYK1\r\n* 📅 CAL: https://usemotion.com/meet/aswin-andrison/global\r\n* 🌐 WEB: https://www.lumibot.com\r\n\r\n^ Reach out to us on special deals ONLY for YC companies! ", "one_liner": "AI+human powered automation on job-community platform with 1.5M…", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1643648054, "tags": [ "AIOps", "Marketplace", "SaaS", "Community", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Operations" ], "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/lumina", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/lumina.json", "year_founded": 2022, "city": "Singapore", "country": "SG", "linkedin_url": "", "x_url": "", "fb_url": "https://www.facebook.com/lumina.mba/", "cb_url": "https://www.crunchbase.com/organization/lumina-6a60", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/79b74bf1a8009a0f4c3b0fd036ff57515ff6760b.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": 150953, "full_name": "Aswin Andrison", "title": "Founder", "founder_bio": "Aswin co-founded TazkerAI on the back of Lumina (YC W22), an autonomous AI+human-powered workflow automation for the physical industry. Prior to that, he co-founded STOQO, a pioneer fresh-produce supplier for 40,000 restaurants with 1,500-strong workforce and USD 13M raised from top investors (Accel, Monk's Hill and AlphaJWC, etc). Before startups, Aswin consulted at McKinsey, IBM and Honeywell. He graduated computer science / chemical eng. from UNSW and MBA from London Business School and MIT.", "is_active": true, "linkedin_url": "http://linkedin.com/in/aandrison", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0ce9fdf159a142e46711946b2bb326804278cfe8.jpg" } ], "jobs": [], "news": [ { "title": "Lumina nets funding from YC, Alpha JWC", "url": "https://www.techinasia.com/lumina-funding-yc-alpha-jwc-ventures", "date": "Jan 24, 2022" } ], "launches": [] }, { "id": 26662, "name": "Paces", "slug": "paces", "former_names": [ "Paces AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a92cafe33d123a85f38886d7af1f5aa33cbfd033.png", "website": "https://paces.com", "all_locations": "New York City, NY, USA", "long_description": "Energy demand is skyrocketing, and renewable energy is the most scalable path forward. But today’s development process can’t move fast enough to meet global goals.\r\n\r\nPaces exists to change that. We are building AI agents, software and services to accelerate power and data center deployment and lower costs - unlocking one of the greatest opportunities of our time: transforming how infrastructure gets built and ensuring it’s built with renewable energy.\r\n\r\nPaces automates early-stage due diligence and provides the expertise to accelerate late-stage diligence, fast-tracking projects from siting to construction-ready. Our platform supports renewable energy and data center developers, real estate firms, and more by streamlining siting, interconnection, and permitting. With Paces, teams can de-risk decisions, shorten timelines, and get more renewable energy projects built.", "one_liner": "Agentic AI for Power Projects and AI Infrastructure", "team_size": 48, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1654191081, "tags": [ "Proptech", "Climate", "Energy", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Industrials", "Climate" ], "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/paces", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/paces.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pacesai", "x_url": "https://twitter.com/paces_ai", "fb_url": "https://www.facebook.com/pacesaico", "cb_url": "https://www.crunchbase.com/organization/paces-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a92cafe33d123a85f38886d7af1f5aa33cbfd033.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": 517387, "full_name": "James McWalter", "title": "Founder", "founder_bio": "I’m the co-founder and CEO of Paces. Originally from Ireland, previously I was the founder of Hale, a personal training marketplace and held senior roles at Google acquired ML startup Hello Vera, B2B marketplace Respondent and fintech giant FactSet. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jamesmcwalter/", "x_url": "https://twitter.com/james_mcwalter", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/29a93026281ad6e0eb5bc2f9b3bb3709672ff211.jpg" }, { "user_id": 268279, "full_name": "Charles Bai", "title": "Founder", "founder_bio": "Charles is the co-founder and CTO of Paces. Before Paces, Charles worked on large model inference and led AI efficiency at Meta AI. Prior to that, he built data-intensive software solutions at various different startups. Charles is based in New York and holds a CS degree from Cornell University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/charlesxbai/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a08ad95ffd8816001555a57a551a754647fd693a.jpg" } ], "jobs": [ { "id": 85557, "title": "Enterprise Account Executive", "url": "https://www.ycombinator.com/companies/paces/jobs/pNHUkbx-enterprise-account-executive", "location": "Brooklyn, United States", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$220K - $240K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 90647, "title": "Transmission Planning Engineer", "url": "https://www.ycombinator.com/companies/paces/jobs/8rYFkgW-transmission-planning-engineer", "location": "Brooklyn, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $150K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 90874, "title": "Development Manager", "url": "https://www.ycombinator.com/companies/paces/jobs/MNIhOFw-development-manager", "location": "Brooklyn, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $170K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 91062, "title": "Environmental Engineer", "url": "https://www.ycombinator.com/companies/paces/jobs/2Q4dYpv-environmental-engineer", "location": "Brooklyn, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $140K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92968, "title": "AI Engineer", "url": "https://www.ycombinator.com/companies/paces/jobs/dvpgJX8-ai-engineer", "location": "Brooklyn, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $190K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 95061, "title": "Software Engineer (Junior)", "url": "https://www.ycombinator.com/companies/paces/jobs/D4TGpfL-software-engineer-junior", "location": "Brooklyn, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $160K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 95062, "title": "Software Engineer, Full Stack", "url": "https://www.ycombinator.com/companies/paces/jobs/uMeVsua-software-engineer-full-stack", "location": "Brooklyn, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $190K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 96301, "title": "Head of Engineering", "url": "https://www.ycombinator.com/companies/paces/jobs/LKceoon-head-of-engineering", "location": "Brooklyn, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$220K - $280K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 96642, "title": "Product Manager", "url": "https://www.ycombinator.com/companies/paces/jobs/TBL2Q1w-product-manager", "location": "Brooklyn, United States", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$160K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98460, "title": "Product Marketer", "url": "https://www.ycombinator.com/companies/paces/jobs/xOkPeTb-product-marketer", "location": "Brooklyn, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $160K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 98461, "title": "Software Engineer, Geospatial Systems", "url": "https://www.ycombinator.com/companies/paces/jobs/IEYY2OZ-software-engineer-geospatial-systems", "location": "Brooklyn, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $220K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 103723, "title": "Regulatory Analyst", "url": "https://www.ycombinator.com/companies/paces/jobs/g6ZYekw-regulatory-analyst", "location": "Brooklyn, United States / Remote (US)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$85K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 112544, "title": "VP of Product", "url": "https://www.ycombinator.com/companies/paces/jobs/BSUC30u-vp-of-product", "location": "Brooklyn, United States / Remote (US)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$240K - $300K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Roadmap: The AI data center stack | Bessemer Venture Partners", "url": "https://www.bvp.com/atlas/roadmap-the-ai-data-center-stack", "date": "May 17, 2026" }, { "title": "Aligning Transmission Investment with Development Realities | TD World", "url": "https://www.tdworld.com/overhead-transmission/article/55337693/aligning-transmission-investment-with-development-realities", "date": "Mar 26, 2026" }, { "title": "The rise of the AI-native power developer - DCD", "url": "https://www.datacenterdynamics.com/en/opinions/the-rise-of-the-ai-native-power-developer/", "date": "Feb 22, 2026" }, { "title": "Strategies for de-risking early-stage renewable energy projects – pv magazine International", "url": "https://www.pv-magazine.com/2025/05/06/strategies-for-de-risking-early-stage-renewable-energy-projects/", "date": "May 05, 2025" }, { "title": "Shrinking Site Availability Threatens Renewable Energy Goals: Here's How Developers Can Adapt | EnergyTech", "url": "https://www.energytech.com/renewables/article/55261812/shrinking-site-availability-threatens-renewable-energy-goals-heres-how-developers-can-adapt", "date": "Jan 27, 2025" } ], "launches": [ { "id": 64098, "title": "Paces - Siting and Due Diligence of Green Projects", "tagline": "Paces is software for green infrastructure developers to identify the best places to build and manage their projects", "body": "### **The Problem**\n\n[80% of](https://www.canarymedia.com/articles/transmission/lbnls-nationwide-interconnection-survey-has-good-news-and-bad-news-for-clean-energy) clean energy projects **developers** start never actually get built because most projects are started without deep due diligence on zoning and interconnection due to the cost of collecting that data. This means $17B worth of cancelled projects per year.\n\n### **The Solution**\n\nPaces is software for green infrastructure developers to identify the best places to build and manage their projects.\n\nFirst we collect environmental, permitting, zoning, energy grid data from various different sources; then we analyze the data and use AI to identify the best places for developers to build their next projects. \n\n### **Our Vision**\n\nOur long term vision for Paces is for it to be the **go-to software platform to enable the climate positive development of every piece of land on earth**. With Paces:\n\n* Solar developers can find and track all the sites for their projects.\n* EV charging developers can easily get a ranked list of the best nearby sites to deploy their next 20 charging stations\n* Heavy energy users like Data Centers, Direct Air Capture and Hydrogen plants can find locations with excess electricity\n* Financial firms can evaluate the value and risks of green assets around the world\n\n### **About Us**\n\nPaces was founded by Charles and James in early 2022.\n\n* James is our CEO! He grew up on an organic farm in Ireland and across a 15 year tech career he was employee 1 at an Google acquired AI startup and has millions in career SaaS sales.\n* Charles is our CTO! He grew up in Beijing and completed a CS degree at Cornell. Before Paces, he led AI efficiency at Facebook AI and built [metrics to track power/carbon cost of AI models](https://arxiv.org/pdf/2111.00364.pdf).\n\n### **Contact Us**\n\nIf you are building in the physical worlds, such as solar, wind, battery storage, hydrogen, EV charging, real estate and data centers, please reach out to us at [team@paces.com!](mailto:team@paces.com)", "url": "https://www.ycombinator.com/launches/Gfq-paces-siting-and-due-diligence-of-green-projects", "votes": 46, "created_at": "2022-06-27T16:38:09.514Z" } ] }, { "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": 26796, "name": "Popsy", "slug": "popsy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ada7a7ab505e37bb2de88fd9b81eb0bedd4997f2.png", "website": "https://popsy.ai", "all_locations": "Ljubljana, Ljubljana, Slovenia; Remote", "long_description": "Popsy is an AI tool that finds you leads on Reddit and sends them hyper personalized DMs.", "one_liner": "AI tool that finds you leads on Reddit and sends them hyper…", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1661960540, "tags": [ "SaaS", "B2B", "Marketing", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "Slovenia", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/popsy", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/popsy.json", "year_founded": 2021, "city": "Ljubljana", "country": "SI", "linkedin_url": "", "x_url": "https://x.com/MihaPopsy", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/popsy-8fef", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ada7a7ab505e37bb2de88fd9b81eb0bedd4997f2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 187910, "full_name": "Miha Mlakar", "title": "Founder", "founder_bio": "Co-founder at Tingles (YC W18)\nCo-founder at Popsy (YC S22)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mlakarmiha", "x_url": "https://twitter.com/MihaPopsy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3e8b5786ce744fb73dbd63049169347ea6e4d0b9.jpg" }, { "user_id": 213658, "full_name": "Mourad Mourafiq", "title": "Founder", "founder_bio": "Loves building products. \nMore info on: https://mourafiq.com", "is_active": true, "linkedin_url": "https://github.com/mmourafiq", "x_url": "https://twitter.com/mmourafiq", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/43ad0f4832d6b99f6792f7c59f3c3bf0886b3788.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 65849, "title": "🍊 Popsy - No-code website builder that works like Notion", "tagline": "Website builder with a Notion-like editor. Make professional websites as easy as writing a doc.", "body": "Popsy is a website builder that combines the simplicity of Notion with everything you need to build professional websites. Go to 👉 [popsy.co](http://popsy.co)\n\n✅ Notion-like editor\\\n✅ Responsive out of the box\\\n✅ Beautiful templates\\\n✅ Change fonts & colors\\\n✅ Add navbar\\\n✅ Add buttons\\\n✅ Add icons\\\n✅ Custom backgrounds\\\n✅ Optimized images\\\n✅ Manage SEO\\\n✅ Publish to a custom domain or free popsy.site domain\n\n\\*\\*\\*\n\nPerfect for:\n\n🚀 Landing pages\\\n💁 Personal pages\\\n🎓 Resumes\\\nℹ️ Product support pages\n\n\\*\\*\\*\n\nQuick demo: \n\n\\*\\*\\*\n\n### **The Story**\n\nHi YC, we’re Miha & Mourad, co-founders of Popsy. 😊👋\n\nI've always had many product ideas. Every idea I pursued started with a frustration that is building a landing page. When I discovered Notion I loved how easy it was to publish something online. But Notion lacks many basic features of a website builder.\n\nWe started with a simple tool to turn existing Notion pages into websites. The response was great, but we also quickly realized the limitations of that approach. We took everything we learned from it and built a fully independent website builder.\n\n\\*\\*\\*\n\n### **Asks**\n\nOur only ask is to check it out and give us some feedback. What's the one thing you're missing the most?\n\nDM me on Twitter at 👉 \\\nOr email us at 👉 [founders@popsy.co](mailto:founders@popsy.co)\n\nThank you and happy building! 😊🚀\n\n![uploaded image](/media/?type=post&id=65849&key=user_uploads/187910/1d1d9e3d-365a-419e-bfb7-dee8f32da480)\n\n![uploaded image](/media/?type=post&id=65849&key=user_uploads/187910/539fe163-5e4a-4fd2-a908-38243e8bb78c)\n\n![uploaded image](/media/?type=post&id=65849&key=user_uploads/187910/513b9234-3c49-4889-87f7-d82819121c74)\n\n", "url": "https://www.ycombinator.com/launches/H85-popsy-no-code-website-builder-that-works-like-notion", "votes": 80, "created_at": "2022-09-05T16:42:31.958Z" } ] }, { "id": 27491, "name": "Sameday", "slug": "sameday", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/91ba509f52939444c0547f5a58c6f5cadf60b7a4.png", "website": "https://www.gosameday.com/", "all_locations": "Lehi, UT, USA", "long_description": "Sameday is the AI workforce for the trades — outperforming humans at high-stakes, revenue-critical work, such as sales, dispatch, and more.", "one_liner": "The leading AI workforce for the trades.", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1662953627, "tags": [ "Generative AI", "B2B", "Sales Enablement", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sameday", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/sameday.json", "year_founded": 2021, "city": "Lehi", "country": "US", "linkedin_url": "https://www.linkedin.com/company/74740106/admin/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/91ba509f52939444c0547f5a58c6f5cadf60b7a4.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": 902840, "full_name": "Aaron Cooper", "title": "Founder", "founder_bio": "Formerly the Chief Marketing Officer of the fastest growing home services company in the US. I now run a startup that solves the biggest pain in the home services space. Answering the phone.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aarongcooper/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/071775aa0a120ee489fb02fd75a6fd36aebc357d.jpg" } ], "jobs": [ { "id": 55427, "title": "Fullstack Engineer (AI Emphasis)", "url": "https://www.ycombinator.com/companies/sameday/jobs/b0Ije7T-fullstack-engineer-ai-emphasis", "location": "lehi, utah", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$165K - $225K", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python", "Firebase", "Data Analytics", "Next.js" ] }, { "id": 56597, "title": "Account Executive (B2B)", "url": "https://www.ycombinator.com/companies/sameday/jobs/pEQXKj6-account-executive-b2b", "location": "Lehi, UT", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$70K - $120K", "equity_range": "0.10% - 0.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 61284, "title": "Frontend Engineer", "url": "https://www.ycombinator.com/companies/sameday/jobs/ylhHaMO-frontend-engineer", "location": "Lehi, UT, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$125K - $150K", "equity_range": "0.10% - 0.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "React", "Next.js" ] }, { "id": 66986, "title": "Backend Engineer", "url": "https://www.ycombinator.com/companies/sameday/jobs/n19CuRo-backend-engineer", "location": "Lehi, UT, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$145K - $165K", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python" ] }, { "id": 69928, "title": "Senior Backend Engineer", "url": "https://www.ycombinator.com/companies/sameday/jobs/mfm2kJ6-senior-backend-engineer", "location": "Lehi, UT, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$175K - $225K", "equity_range": "0.01% - 0.50%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python" ] }, { "id": 69929, "title": "Senior Front-end Engineer", "url": "https://www.ycombinator.com/companies/sameday/jobs/QOLxuc7-senior-front-end-engineer", "location": "Lehi, UT, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$155K - $215K", "equity_range": "0.01% - 0.50%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python" ] }, { "id": 69930, "title": "Senior QA Engineer", "url": "https://www.ycombinator.com/companies/sameday/jobs/UQGeZeZ-senior-qa-engineer", "location": "Lehi, UT, US", "type": "Full-time", "role": "Engineering", "role_type": "QA engineer", "salary_range": "$155K - $215K", "equity_range": "0.01% - 0.50%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python" ] }, { "id": 69931, "title": "Product Manager", "url": "https://www.ycombinator.com/companies/sameday/jobs/spnP7Cz-product-manager", "location": "Lehi, UT, US", "type": "Full-time", "role": "Engineering", "role_type": "QA engineer", "salary_range": "$135K - $165K", "equity_range": "0.01% - 0.30%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Git" ] }, { "id": 84175, "title": "Revenue Operations Manager", "url": "https://www.ycombinator.com/companies/sameday/jobs/K7MDzAx-revenue-operations-manager", "location": "Pleasant Grove, UT, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$85K - $130K", "equity_range": "0.10% - 0.30%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Check Out 55 Generative AI Startups in Y Combinator's Latest Batch", "url": "https://www.businessinsider.com/generative-ai-startups-launch-ycombinator-demo-day-winter2023-2023-4#sameday-38", "date": "Apr 24, 2023" } ], "launches": [ { "id": 65994, "title": "📞 Sameday: Always be available.", "tagline": "Sameday answers any calls your sales team otherwise would miss and follows up until the sale is made.", "body": "Super thrilled to share Sameday with all of you!\n\nOur customers say they’ve never heard anything like it, and that’s the point. People love talking to Sameday’s virtual sales agents. Not only does Sameday sound ultra-human, but it acknowledges a customer’s pain, overcomes objections, and follows up until the sale is made. With a close rate of 80%. \n\nYes, you read that right.\n\n**Sameday’s virtual sales agent closes 80% of all sales calls it receives.**\n\n### **❌ The Problem**\n\nHome service businesses fail to answer 62% of phone calls.\n\nPaying 4X more per lead than any other industry, missing just one sales call costs $80 on average. \n\n**Third-party call centers are expensive.** Averaging several dollars per minute, they also fail schedule services effectively; resulting in low sold to service rates and an even higher cost per acquisition. (Most of Sameday’s customers switched from a third-party call center)\n\n**Staffing is difficult.** Most hire family and friends to answer the phone, while others attempt to answer it themselves…while on the job…covered in who knows what. Some have large call centers, struggling to balance an acceptable ROI and the turnover that comes with a call center. (Many Sameday customers have call centers with 50+ employees)\n\n### **✅ The Solution**\n\nA virtual sales agent that answers any phone calls your team would otherwise miss. But it doesn’t stop there…\n\n**Sameday follows up, initiating outbound calls on its own to ensure every lead gets on the schedule.**\n\nCombine that with Sameday’s ability to onboard new customers in seconds, ultra-human voice, which we call, “Pro Voice”, and the ability to overcome objections, Sameday eliminates all the common pitfalls of other AI solutions, resulting in our customers saying, “Wow”.\n\n**You can learn more at** [**gosameday.com**](https://www.gosameday.com/)\n\n![uploaded image](/media/?type=post&id=65994&key=user_uploads/902840/c08a1316-dc73-4e4e-9ceb-8e27c9800f3d)\n\n", "url": "https://www.ycombinator.com/launches/HAQ-sameday-always-be-available", "votes": 29, "created_at": "2022-09-12T16:02:58.374Z" } ] }, { "id": 27667, "name": "StackAI", "slug": "stackai", "former_names": [ "Stack", "Stack AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f0b69f56464fb22aa0805117c2f93c2b32f1c717.png", "website": "https://www.stackai.com", "all_locations": "San Francisco, CA, USA", "long_description": "Acquired by Asana (NYSE:ASAN) in May 2026.\r\n\r\nStackAI partners with enterprises to deploy custom AI agents to automate their most complex back-office workflows. Teams at BAE Systems, Monzo, Morgan & Morgan, and Goodwill work with StackAI to bring AI Agents to their operations.\r\n\r\nEnterprises use StackAI no-code to automate large compliance audits, knowledge work, legal intake, due diligence research, and insurance claim underwriting.", "one_liner": "The Enterprise AI Transformation Platform", "team_size": 62, "industry": "B2B", "subindustry": "B2B", "launched_at": 1673634480, "tags": [ "Enterprise", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/stackai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/stackai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/stackai/", "x_url": "https://twitter.com/StackAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/stackai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f0b69f56464fb22aa0805117c2f93c2b32f1c717.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/60/1680800935227-xq1golaxlbk-93a505c5b1677497750a0010107d5e96/ebac961c06f5184e37d1b998d93f8e6f.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022709Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=39aa6bb43669060507b0b21b4c57f4b180b9dd217bbbc76960e8ea17ae8c2ef5", "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 908498, "full_name": "Toni Rosinol", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at StackAI (W23). MIT PhD. Bringing us one step closer to AGI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rosinol/", "x_url": "https://twitter.com/RosinolToni", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dfafac0a0522e77dda9d3d2e5391345ef24c7e7d.jpg" }, { "user_id": 660940, "full_name": "Bernard Aceituno", "title": "Founder", "founder_bio": "Co-Founder & President of StackAI (W23). MIT PhD. AGI for the Enterprise.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/baceituno/", "x_url": "https://twitter.com/bernaceituno", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4ae11cb88a48870abe3e784747068c5516e00805.jpg" } ], "jobs": [], "news": [ { "title": "Asana acquires no-code agent-builder StackAI | TechCrunch", "url": "https://techcrunch.com/2026/05/28/asana-acquires-no-code-agent-builder-stack-ai/", "date": "May 28, 2026" }, { "title": "Enterprise AI Agents for Every Job: StackAI Raises $16M - Stack AI · Accelerate Your Mission with Intelligent AI Workflows", "url": "https://www.stack-ai.com/blog/stack-ai-raises-16m-series-a-to-create-ai-agents-for-every-job", "date": "May 07, 2025" }, { "title": "Stack AI wants to make it easier to build AI-fueled workflows", "url": "https://techcrunch.com/2024/05/21/stack-ai-wants-to-make-it-easier-to-build-ai-fueled-workflows/", "date": "May 21, 2024" } ], "launches": [ { "id": 98649, "title": "Beyond Agents: The Era of AI Employees", "tagline": "Trusted from Fortune 500s to Governments", "body": "Today, StackAI is launching three capabilities that are ushering in the era of AI employees: computer use, access to the web, and the ability to coordinate as a team. Each one is a breakthrough on its own; together, they represent a fundamental shift in what enterprise AI can do.\n\n+++\n\nWe’ve moved from AI that responds, to AI that reasons, to AI that acts. Now we’re entering the next stage: AI that works like an employee you onboard. That starts with the same thing you’d give any new team member on day one: a computer, access to your internal tools, and a team to work with.\n\n1. **Giving Every AI Agent a Computer**\n\nComputer use gives each AI agent a sandboxed environment where it can execute commands, run scripts, read and write files, send emails, post Slack messages, and work across the tools your enterprise already uses. Think of it like Claude Code, but living inside StackAI and securely connected to everything your organization already uses.\n\nVideo: \n\nComputer Use on StackAI doesn’t just suggest, it reads your repo, runs commands, edits files, and iterates until the job is done. Need a comprehensive performance deck? The agent navigates to your analytics platform, pulls the numbers, builds the charts, then formats everything into a clean, ready-to-share deck and forwards it to your team. Professional output. Zero manual effort. You don’t even have to press send.\n\nThese agents reason about what needs to happen, adapt when things change, and find a path to the output regardless of what gets in the way.\n\n**What it Means for Enterprises**\n\nEvery knowledge worker spends a significant portion of their time on coordination, data gathering, and repetitive execution. Computer use agents absorb that entire layer, freeing your team to focus on the nuanced work that actually requires human judgment.\n\n2. **Navigating the Web Like a Human Employee**\n\nA huge portion of enterprise work doesn’t happen inside your internal stack. It happens on the web: in vendor portals, legacy systems, government databases, and SaaS platforms that predate modern APIs.\n\nVideo: \n\nBrowser use gives AI agents the ability to navigate the web the way a human does—not through an API or pre-built connector, but by seeing a page, understanding what’s on it, and interacting with it. Clicking, filling forms, logging in, extracting data, submitting inputs. For an agent with browser use, every website is a potential integration; every legacy system, regardless of age or architecture, becomes part of the automation surface.\n\n**What it Means for Enterprises**\n\nTraditional automation has always had a hard boundary: no API, no integration. Enterprises worked around this by having humans manually bridge the gaps. \n\nBut now, an AI employee can log into your logistics vendor’s portal, pull open order status, and update your internal tracking system without anyone touching it. It can monitor competitor pricing across a dozen sites and flag changes before your next pricing review. It can navigate regulatory databases, extract relevant filings, and route them to your compliance team.\n\nAnything a human can do in a browser, an AI employee can do too, including the long tail of irregular, one-off tasks that are too infrequent to build traditional automation around but too time-consuming to keep handing to people.\n\n3. **Coordinating at Scale with Sub-Agent Teams**\n\nComputer use gives AI agents a workstation. Browser use gives them reach across the web. But there’s a ceiling to what any single agent, or any single AI employee, can do alone.\n\nA sub-agent workflow has a manager and a team. The orchestrator agent receives a high-level objective, breaks it into component tasks, delegates each to a specialized sub-agent, reviews the outputs, and synthesizes everything into a final deliverable. Each sub-agent maintains its own context window, so the system handles complex tasks without the constraints that limit a single model.\n\nTake a market intelligence agent. A single agent would need to research competitors, extract financial data, analyze trends, and write everything up sequentially, based on the user’s request. A multi-agent team handles it differently: the orchestrator delegates research to one agent, data extraction to another, analysis to a third, writing to a fourth. Sub-agents may or may not be called upon depending on the original task. The result is one polished deliverable, produced in a fraction of the time.\n\n## **The Era of AI Employees Is Here**\n\nMulti-agent architectures on StackAI let you build workflows that match the actual complexity of your business, not simplified versions of it. \n\nThe era of AI employees is here! Ready to put them to work? \n\n**Get started with StackAI → [stack-ai.com/demo](http://stack-ai.com/demo)**", "url": "https://www.ycombinator.com/launches/Pf7-beyond-agents-the-era-of-ai-employees", "votes": 12, "created_at": "2026-03-10T18:04:07.327Z" }, { "id": 96563, "title": "StackAI: Enterprise AI Agents in Seconds", "tagline": "Introducing Auto Agents, a new system that allows you to instantly design, test, and iterate over custom AI agents with enterprise-grade security.", "body": "**StackAI** is the no-code, drag-and-drop platform to build and deploy enterprise AI agents that automate manual work across every vertical. \n\nWe’re excited to introduce Auto Agents, a suite of tools within the StackAI platform that makes it incredibly easy to design, iterate, and optimize agents automatically. These tools will empower enterprise users of all technical skill levels to create reliable, robust AI agents for any business process. Whether you're in finance, legal, HR, support, or any other department, you’ll be able to take those painful, repetitive, and expensive processes and automate them at scale with AI. \\\n\\\nCheck out this brief [video](https://www.youtube.com/watch?v=ohDG3oeFsjk) to see Auto Agents in action. \n\n### **From idea to agent in minutes**\n\nWith StackAI Auto Agents, teams can describe what they want to build in natural language, and the platform generates a complete, multi-step AI agent automatically.\n\nFor example, a user might ask the system to create an equity research agent—one that analyzes stock performance, scans recent news, evaluates opportunities, and produces a structured report. The platform will then design the agent end to end, assembling the workflow, tools, and logic required to complete the task.\n\nCrucially, Auto Agents don’t operate as black boxes. Every generated agent can explain itself, walking users through each component of the workflow, how inputs flow through processing steps, and how outputs are produced. This makes it easier for teams to understand, validate, and build confidence in what the agent is doing.\n\n**Built-in prompt refinement, without the guesswork**\n\nPrompting remains one of the biggest barriers to reliable AI systems. Auto Agents address this directly.\n\nUsers can refine an agent’s behavior by describing how outputs should be structured, whether that’s a multi-section research report, a compliance summary, or a decision memo. With a single click, Auto Agents optimize prompts immediately, applying best practices to improve clarity, consistency, and performance.\n\n**Test, iterate, and build on results in real time**\n\nOnce an agent is generated, teams can test it right away with real inputs. In the equity research example above, the agent can be run against a specific company, pulling in relevant financial data and recent news to generate a comprehensive report in minutes.\n\n![uploaded image](/media/?type=post&id=96563&key=user_uploads/660940/f66c0dcc-f5c7-4f6b-bcdb-bbe33b7ee321)\n\nFrom there, users can interact directly with the results: asking follow-up questions, extending outputs, or generating downstream artifacts like emails or summaries. This interactive loop allows teams to iterate quickly and build layered workflows on top of existing results, all within the same platform.\n\n**Ready for real enterprise workflows**\n\nAuto Agents are designed for teams automating real business processes, not just demos. This launch reflects a broader shift in enterprise AI to systems that operate reliably at scale across the entire development lifecycle: \n\n* **Automatic agent generation** from natural language descriptions\n* **AI-powered prompt refinement** for better performance\n* **Real-time testing and iteration**\n* **Interactive follow-ups** through chat-based enhancements\n* **Enterprise-grade security and governance** by default\n\nWhether you're automating equity research, streamlining contract reviews, handling RFP responses, or tackling compliance audits, Auto Agents puts the power of AI automation in your hands.\n\nStackAI Auto Agents are available now. To learn more or start building, visit [stack.ai](http://stack.ai).", "url": "https://www.ycombinator.com/launches/P7T-stackai-enterprise-ai-agents-in-seconds", "votes": 16, "created_at": "2026-01-07T18:25:52.375Z" }, { "id": 77751, "title": "Stack AI - The Enterprise platform for LLM applications", "tagline": "Build Enterprise-grade AI assistants for your organization", "body": "[Stack AI](https://www.stack-ai.com/) is a **low-code platform that enables any organization to build custom AI Assistants without the need for coding or deep expertise in AI**. Our intuitive drag-and-drop interface makes Generative AI accessible for teams across the enterprise.\n\n[**Get a demo today!**](https://8pgahmhngsa.typeform.com/to/j1PDmIAG)\n\n**Fun fact:** this is our first YC launch!\n\n### What can I build?\n\n![uploaded image](/media/?type=post&id=77751&key=user_uploads/660940/f66ab65b-025a-49ca-af8a-e4916a52f44e)\n\nWe power AI use cases for companies such as **LifeMD, SmartAsset, Circle Medical, HiveMQ, Varos**, and more… \\\n\\\nWith Stack AI, subject matter experts can develop [AI assistants](https://www.stack-ai.com/blog/ai-assistants) tailored to their company needs without coding, powering use cases in industries such as:\n\n1. **Healthcare:** e.g., [insurance and policy document analysis](https://www.stack-ai.com/solutions/ai-agents), physician assistant for therapy and diagnosis.\n2. **Education:** e.g., [automatic student support desk assistant](https://www.stack-ai.com/solutions/ai-agents), AI-teaching assistants for faculty and courses.\n3. **Finance:** e.g., [comparison and drafting of financial reports](https://www.stack-ai.com/solutions/ai-agents), contract drafting assistant, communication compliance analyzer (email, SMS).\n4. **Logistics & Construction:** e.g., [RFPs with AI-powered Resume Searching](https://www.stack-ai.com/solutions/ai-agents), Purchase orders drafting and analysis.\n5. **Cross-industries:** e.g., [automatic scrapping of websites](https://www.stack-ai.com/solutions/ai-agents), hyper-customized outbound email generation, patent drafting assistant.\n\n### Value Proposition\n\nOur goal is to **equip enterprises with state-of-the-art language models to empower intelligence workers, content creation, and more.** Users can securely connect company data sources through integrations with databases, cloud storage, and SaaS platforms. \n\nWe do the **heavy lifting of AI and software development so customers can focus on deploying AI that drives business value**.\n\n[Learn more about AI Assistants](https://www.stack-ai.com/solutions/ai-agents)\n\n### Enterprise-grade AI\n\nEnterprise-grade platform and service\n\nWe developed Stack AI with enterprises in mind since day one:\n\n1. **Enterprise-grade security and privacy**: Stack AI is **SOC 2, GDPR, and HIPAA** compliant, ensuring [top industry standards](https://www.stack-ai.com/blog/gdpr-announcement) (i.e., data retention, data encryption, access controls). We also have data processing agreements with leading AI models.\n2. **High-touch customer success:** We support each client along the journey, guaranteeing hands-on guidance when building and deploying AI projects. \n3. **Dedicated infrastructure:** We ensure optimal performance and privacy in our client applications.\n4. **All-in-one platform:** Our versatile platform allows companies to deploy multiple customized use cases in an all-in-one platform, **simplifying technology stack and vendor management**.\n\n[Learn more about AI for the enterprise](https://www.stack-ai.com/solutions/ai-agents)\n\n### Bring AI to your Company Now!\n\nStack AI is already loved by over **200 companies in industries such as Healthcare, Logistics, Construction, Higher Education, and Financial Services**. We’d love to discuss with you how your organization can adopt Generative AI without expensive developments or hires.\n\n[**Get a demo today!**](https://8pgahmhngsa.typeform.com/to/j1PDmIAG)", "url": "https://www.ycombinator.com/launches/KE3-stack-ai-the-enterprise-platform-for-llm-applications", "votes": 31, "created_at": "2024-01-23T00:56:56.309Z" } ] }, { "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": 27882, "name": "Velos", "slug": "velos", "former_names": [ "GradientJ" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1521d60e05f3fa5d010d16b7722a46d4fb586f90.png", "website": "https://www.tryvelos.com", "all_locations": "San Francisco, CA, USA", "long_description": "Velos helps insurance carriers and MGAs automate complex, manual back-office tasks with AI workers instead of overseas teams.\r\n\r\nWe take over workflows with the same responsibility of a traditional overseas Business Process Outsourcing (BPO) firm: mapping the customer’s existing process, creating the SOP, building the automation, and continuously improving the workflow after launch. \r\n\r\nUnlike other \"automation platforms\" we don't rely on our customers to build and manage the workflow, we take over it for them like a traditional outsourcing firm.\r\n\r\nWe're automating the repetitive work people hate to do.", "one_liner": "AI BPO for Specialty Insurance MGAs", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1674503496, "tags": [ "Reinforcement Learning", "Robotic Process Automation", "Insurance", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Fintech", "Insurance" ], "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/velos", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/velos.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tryvelos/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1521d60e05f3fa5d010d16b7722a46d4fb586f90.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": [], "jobs": [], "news": [], "launches": [ { "id": 68762, "title": "GradientJ - Build and manage GPT3 🤖 applications at scale", "tagline": "GradientJ helps product teams deploy large language models at scale. Companies use us to create GPT3 applications and monitor them in production.", "body": "### **What is it?**\n\nGradientJ is a web application to build, compare, and deploy prompts for large language models like GPT3.\n\n### **Is this for me?**\n\nGradientJ is for:\n\n* Product teams that are just **thinking of using something like GPT3** in their product and are **trying to figure out how to get started**.\n* Teams who are **already using LLMs** to delight their customers and are **trying to level up their workflow** with faster iteration, better organization, easy cost and performance comparisons, and the on-ramp to \\~_the mythical land of fine-tuning\\~_.\n\n### **What’s the Problem?**\n\nCurrently, the **road from exciting prototype output with ChatGPT to production-ready GPT3 deployment is unclear** and littered with potential pitfalls.\n\nEven for the teams that do get version 1 out the door, **the workflow often ends up as a stitched together hodgepodge of makeshift processes and tools.**\n\nLLM deployment is a leading cause of “am I doing this right?”-itis. Symptoms include:\n\n* A text document with examples copy-pasted into the OpenAI playground\n* A prompt comparison process that consists of an eyeball test followed by “looks better-ish”\n* Hours spent tweaking a prompt on one example only to find, in the end, it breaks on all the others\n* Nightmares of users getting nonsensical or offensive output from a hallucinating LLM\n\n### **How do we solve it?**\n\nWe made a prompt engineering interface that:\n\nAutomatically suggests starting points or improvements to your prompts.\n\n![uploaded image](/media/?type=post&id=68762&key=user_uploads/314229/aabfc294-5d59-4f02-a9a0-ff9ea4e2a1b0)\n\nTracks prompt versions and benchmark examples so you can always compare and deploy the best iteration.\n\n![uploaded image](/media/?type=post&id=68762&key=user_uploads/314229/2491d923-0562-4c55-aa1c-fe0837a3b899)\n\nDeploys to your own API endpoint with automatic cost and performance tracking in one click.\n\n![uploaded image](/media/?type=post&id=68762&key=user_uploads/314229/df784795-2290-4ce9-9fbe-90ec41fbb21b)\n\n# **The Ask:**\n\n* **Let us help:** If you’re trying to use LLMs like GPT3 in your application and want to discuss how to **get version 1 out the door** **FAST**, we’d love to talk.\n* **Try it out:** If you’re already using LLMs in your application, we’d love to talk.\n* **Spread the Word:** If anyone you know is using or thinking of using LLMs, we want to turn their ideas into reality.\n\nDrop your email here , email us at [founders@gradientj.com](mailto:founders@gradientj.com), or jump right in and book a time to talk [here](https://calendly.com/daniel-gradientj/meeting)!", "url": "https://www.ycombinator.com/launches/Ht4-gradientj-build-and-manage-gpt3-applications-at-scale", "votes": 67, "created_at": "2023-01-26T20:03:07.818Z" } ] }, { "id": 27897, "name": "TableFlow", "slug": "tableflow", "former_names": [ "Inquery" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fad6d127e5843dda3d9f06585de22ad73a6df795.png", "website": "https://tableflow.com", "all_locations": "San Francisco, CA, USA", "long_description": "TableFlow builds AI teammates for data tasks, helping operations and data teams automate the messy, manual tasks buried in PDFs, spreadsheets, images, and emails.", "one_liner": "AI Teammates for Data Tasks", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1676487521, "tags": [ "Documents", "SaaS", "Data Engineering", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tableflow", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/tableflow.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tableflowhq", "x_url": "https://x.com/tableflow", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/tableflow", "github_url": "https://github.com/tableflowhq", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fad6d127e5843dda3d9f06585de22ad73a6df795.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": 405594, "full_name": "Mitch Patin", "title": "Founder", "founder_bio": "Co-founder and CEO at TableFlow. Early engineer at Bolt (transitioned to product). First product hire at Heymarket.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mitchpatin/", "x_url": "https://twitter.com/mitchpatin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1951bf8df013b0f7a0a692a6e5c288aa4392e57c.jpg" }, { "user_id": 1166460, "full_name": "Eric Ciminelli", "title": "Founder", "founder_bio": "Co-founder and CTO at TableFlow. Early engineer on the commerce team at Facebook. First full-stack engineering hire at Heymarket.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ericciminelli/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2387b88cd77c1ab73a503d75967f5c28c5365823.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73464, "title": "🛶 TableFlow: AI Document Processing", "tagline": "Extract, transform, and validate data from any file: CSV, PDF, and more", "body": "### TL;DR\n\nTableFlow enables enterprises to extract and transform unstructured data from CSVs, PDFs, images, and web pages. Instead of spending time on manual data entry and validation, teams use TableFlow to automate these tasks with AI.\n\n![uploaded image](/media/?type=post&id=73464&key=user_uploads/405594/c161bc5a-7c2f-45d1-8e93-39ea826fc6a6)\n\nHi everyone, we’re Eric and Mitch from [TableFlow](http://tableflow.com)! 👋\n\n### Problem\n\nMany companies rely on spreadsheets, PDFs, and other file types to import partner or customer data, which exists in a variety of formats. This difficult and time-consuming process often leads to companies relying on a combination of in-house tooling and manual work to migrate the data. This becomes even more problematic when ingesting hundreds or thousands of files a week.\n\n### Solution\n\nTableFlow handles the file import process with automated pipelines that use AI to map, extract, transform, and validate data.\n\n**How it works:**\n\n1. Define your destination schema in our app. These are the columns and data types that you want to transform data to.\n2. Import a file via our API.\n3. Receive a webhook when the file finishes processing (takes \\~10 seconds, even with 100k+ records). This will include any errors, such as a required field being missing.\n4. Optional: Review the imported data in our application before continuing.\n5. Import the cleaned, transformed data into your system.\n\n[Demo Video](https://www.loom.com/share/a07bfd2c55454127afa44df31a973c81?sid=42c402db-1ee5-4886-a009-484bcdc1df3a)\n\n### TEAM\n\nWe met while working at Heymarket, a Series-A startup in SF. Mitch was the first product hire, and Eric was the first full-stack engineer. During our two years there, we co-owned many projects and defined many of the engineering & product processes to help the company scale. We became friends outside of the office by talking about startups, tennis, pickleball, and mountain biking.\n\n[Mitch](https://www.linkedin.com/in/mitchpatin/) started his career as an engineer before moving to the dark side (product 😛). He previously worked at GE Digital and Bolt and founded a company focused on B2B payments.\n\n[Eric](https://www.linkedin.com/in/ericciminelli/) is a software engineer who previously worked at Facebook and myMatrixx and co-founded a company that created a search engine for car shopping online.\n\n### Asks\n\n💌 If your team handles recurring imports of data in different schemas and formats, we’d love to hear about the problems you’ve encountered. Just leave your info [here,](https://tableflow.com/join-waitlist) and we’ll reach out!", "url": "https://www.ycombinator.com/launches/J6u-tableflow-ai-document-processing", "votes": 122, "created_at": "2023-07-26T20:36:20.772Z" } ] }, { "id": 27952, "name": "Finic", "slug": "finic", "former_names": [ "Triton", "Buff", "Sidekick", "Psychic", "Dealwise" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/06180819ad31c1d2ee1b4b62d506fd5e7655aec4.png", "website": "https://www.finic.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Finic helps teams stop fraud, abuse, and financial crimes with system on models that make accurate decisions in fractions of a second, and system two agents that automate investigations end-to-end.", "one_liner": "Frontier AI to stop fraud, abuse, and financial crimes.", "team_size": 4, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1677272534, "tags": [ "Compliance", "Enterprise", "Automation", "Fraud Detection", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Fintech" ], "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/finic", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/finic.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/finic-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/06180819ad31c1d2ee1b4b62d506fd5e7655aec4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1c9eadc7f39d66903aedf0861616956033002285.png" ], "primary_partner": null, "founders": [ { "user_id": 139135, "full_name": "Jason Fan", "title": "Founder", "founder_bio": "Ex security & product @ Robinhood. University of Toronto Computer Science.", "is_active": true, "linkedin_url": "https://ca.linkedin.com/in/jason-fan-b59767104", "x_url": "https://twitter.com/jfan001", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/970d5fd882ee5ceec1544145866e19f878696341.jpg" }, { "user_id": 487696, "full_name": "Ayan Bandyopadhyay", "title": "Founder", "founder_bio": "Founder @ Finic (YC W23). Caltech class of 2020, former software engineer at Robinhood.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ayan-bandyopadhyay-9a45b1103/", "x_url": "https://twitter.com/ayanicband", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/84f47331f39f9e66682b24a2dc6262c3ce44ca15.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 120575, "title": "Grayson: A universal decision model for fraud, risk, and financial crimes", "tagline": "Real-time risk decisions at 1/100th the cost of Sonnet 5.5", "body": "Hey everyone 👋 I'm Jason, CEO of [Finic](https://finic.ai). Today we're launching **Grayson**, the first universal decision model trained to catch fraud, abuse, and financial crimes in real time.\n\n**TL;DR:** Send Grayson any context (logins, transactions, case notes, call transcripts) and a set of questions. Get back a calibrated probability for every answer in under 150ms. On fraud and risk benchmarks it's as accurate as Claude Sonnet 5.5 at 1/100th the cost, and it beats Jev. Zero data retention by default. [Request API access](https://finic.ai) and get $25 in free credit.\n\n![uploaded image](/media/?type=post&id=120575&key=user_uploads/139135/042eac49-1269-4f2c-b51e-d7f1476d31da)\n\n### ❌ The problem\n\nI joined Robinhood pre-IPO and built our fraud investigations platform, along with some of our most critical authentication controls. I saw the same problem over and over: many risk decisions need human-level judgment, but they come up so often that paying a human (or an AI agent) to make them is financially unworkable.\n\n* Should this new device require step-up authentication?\n* Should we allow this transaction, or block it?\n* Should this ticket go to fraud, or to customer support?\n* Does this call log show signs the customer is being scammed?\n* Is this fraud?\n\nToday, teams answer these with some mix of:\n\n* **Rules** that are brittle and get gamed the week after they ship\n* **Custom ML models** that take months, need labeled data, and have to be retrained every time a question or data source changes\n* **Frontier LLMs** that take seconds, cost dollars per thousand calls, return prose you have to parse, and are confidently wrong\n* **Humans or agents** who can do it well, but not on every login, transaction, and ticket\n\n### ✅ The solution: Grayson\n\nGrayson is a **decision model**: you can't chat with it. You give it context and typed questions, and it returns only probabilities, so a rules engine, router, or review queue can use them directly.\n\n```\n// Request (abridged)\n{\n \"context\": { \"known_devices\": [...], \"events\": [...] },\n \"questions\": [\n { \"name\": \"is_ato\", \"type\": \"noul\", \"instructions\": \"Are there signs of an ATO?\" },\n { \"name\": \"top_device_family\", \"type\": \"choice\",\n \"instructions\": \"Which device family do they use the most?\",\n \"options\": [\"apple\", \"android\", \"other\"] }\n ]\n}\n\n// Response\n{\n \"is_ato\": { \"value\": true, \"probability\": 0.999 },\n \"top_device_family\": { \"value\": \"apple\",\n \"probabilities\": { \"apple\": 0.999, \"android\": 0.001, \"other\": 0.000 } }\n}\n```\n\n![uploaded image](/media/?type=post&id=120575&key=user_uploads/139135/7b6becc9-a9de-4478-a6ac-a7920a35f2cd)\n\n* **Universal:** any context, structured or unstructured, and any question: yes/no, multiple choice, or a score. No retraining when your data or processes change.\n* **Calibrated:** when Grayson says 0.8, it's right about 8 times in 10. So you can set thresholds, auto-approve the clear calls, send the close ones to review, and move the threshold later without retraining.\n* **Fast and cheap:** under 150ms of model time for typical requests, at $0.035 per million input tokens (about $0.11 per 1,000 requests on our benchmarks).\n* **Private:** zero data retention by default. We never store the context, questions, or answers you send.\n\nGrayson is trained with Reinforcement Learning for Calibrated Decisions (RLCD). Credit to the TypeSafe team behind Jev for pioneering RLCD and the \"System One\" model. Grayson takes that idea and specializes it for fraud, risk, and trust & safety.\n\n### 📊 Benchmarks\n\nWe ran Grayson against Jev, Claude Opus 5.5, Claude Sonnet 5.5, GPT-6.1 Sol, Kimi K3, and Laya on six fraud and risk datasets: four public benchmarks (LendingClub, customs fraud, fake job postings, scam/phishing email) and two of our own held-out evaluation sets.\n\n![uploaded image](/media/?type=post&id=120575&key=user_uploads/139135/4c4a9563-db5f-4ce0-a307-9ad52568bb5c)\n\n![uploaded image](/media/?type=post&id=120575&key=user_uploads/139135/9d4f3e5c-a61d-4f68-907c-d69f89342eab)\n\nGrayson has the best log loss and the highest % right of any model, which matters most for a model whose job is to output probabilities you can threshold on. On the \"is it fraud?\" questions with known outcomes, it has the best log loss of every model tested:\n\n![uploaded image](/media/?type=post&id=120575&key=user_uploads/139135/470e932a-f3d2-4b02-80c2-f16c77137a3a)\n\nAnd on general business decisions (JevBench and EIKOS), Grayson is level with Jev (0.971 vs. 0.974 AUC-PR), while frontier models score 0.988–0.998 at 100–500x the cost.\n\nFull methodology, datasets, and charts are in the [announcement post](https://finic.ai/blog/introducing-grayson).\n\n### 🙏 The ask\n\n* **If you run fraud, risk, or trust & safety** at a fintech, bank, lender, or marketplace: [request API access](https://finic.ai). Every account gets $25 in free credit. We're in early beta (GPUs are still hard to get!) and are rolling out access gradually.\n* **Intros:** we'd love to meet heads of fraud, risk, and T&S, and the engineers who own rules engines and decisioning platforms.\n* Questions or ideas for what Grayson should answer? Email me at [jason@finic.ai](mailto:jason@finic.ai).", "url": "https://www.ycombinator.com/launches/VMl-grayson-a-universal-decision-model-for-fraud-risk-and-financial-crimes", "votes": 2, "created_at": "2026-10-07T20:23:18.171Z" }, { "id": 85671, "title": "Finic 🕵️‍♂️ - AI that investigates financial fraud", "tagline": "Helping fintechs increase fraud ops capacity, improve accuracy, and resolve cases 80x faster.", "body": "We’re Jason and Ayan, the founders of Finic. We help fintechs automate fraud investigations with AI agents.\n\n![uploaded image](/media/?type=post&id=85671&key=user_uploads/139135/4a8b26cc-6258-4e8a-93c7-1779e1768748)\n\n## tl;dr\n\nFinic lets fraud ops teams at financial institutions scale up their capacity by 10x without increasing headcount. We use intelligent automation to analyze structured data (SQL queries, risk scores) and unstructured data (customer support tickets, adverse media), allowing us to triage tickets and generate case notes twenty times faster and at 80% lower cost compared to tier 1 fraud analysts.\n\n---\n\n—\n\n---\n\nAt Robinhood, we led the identity team. One of our key mandates was to prevent, detect, and investigate fraud, with a specific focus on identity fraud. We were able to reduce account takeover (ATO) fraud losses by 95%, but it took us 10 months and a lot of new hires to get there, largely due to **bottlenecks in the human review process.** We tried automating fraud SOPs, but weren’t able to arrive a compelling solution because at the time there wasn’t a way to automate the biggest bottle neck to fraud reviews - subjective reasoning.\n\nNow, we’re building Finic to be the product we wish we had, with AI that now makes this possible.\n\n## **Why is this important?**\n\nConsumer financial fraud losses crossed $10bn for the first time in 2023, and is likely to keep growing as new technology also enables new attack vectors, most recently with synthetic identities created by GenAI.\n\nThe way financial institutions prevent fraud is usually split into three parts:\n\n* **Prevention:** Find and closing loopholes that enable fraud in the first place.\n* **Detection:** using ML or heuristic models (aka “rules engine”) to detect unusual activity.\n* **Response:** Investigating cases of potential fraud, deciding on a course of action, and, in some cases, writing reports detailing the investigation.\n\nPrevention is typically achieved through product improvements, and the market for data products that help with fraud detection is mature. However, **the way that companies respond to fraud is still mostly done by human review** by a combination of highly skilled onshore and low-skilled offshore analysts.\n\n## **Problem**\n\nUsing humans as the front line of fraud investigations is not ideal for several reasons:\n\n* **Humans make mistakes.** For CS tickets, mistakes mean frustrated customers. For fraud cases, mistakes can result in thousands or millions in losses and compliance headaches that last years.\n* **Humans take a long time to train.** Fraudsters change tactics frequently. By the time a team of analysts is fully trained on a new fraud typology, fraudsters have already moved on to other strategies.\n* **Humans are expensive to scale.** The average offshore agent costs $43,000 per year and has a throughput of about 250 cases per month. This means it costs companies $14 per case to investigate fraud, and that’s not even factoring in the period it takes to onboard and train new agents, which is a constant problem since turnover is so high.\n\nFinancial institutions aggressively overhire when fraud is bad, yet still find themselves unable to respond quickly to new fraud typologies, leading to **millions in preventable losses per quarter.** As a result, every fraud ops team I’ve worked with is either understaffed and overworked, or overstaffed and just waiting to be laid off.\n\n## **Solution**\n\nFinic allows fraud ops teams to build custom AI agents that execute SOPs autonomously, improving on the work of junior fraud analysts and allowing the team to scale capacity by 100x with the click of a button.\n\n![uploaded image](/media/?type=post&id=85671&key=user_uploads/139135/1211dd85-7c36-4f73-b1f8-5ab59a333550)\n\nThis gives fraud ops teams several superpowers:\n\n* **Accuracy and explainability:** Finic agents document each step of their workflow, making it easy for senior analysts to audit, which means fewer mistakes. Case notes written by human analysts take much longer and are often inconsistent.\n* **React faster to new fraud vectors:** Finic agents can be created, trained, and scaled to 1000s of cases per day in a matter of hours, something that would be impossible for a team of human analysts.\n* **Scale capacity instantly:** Fraud ops can now scale capacity as easily as engineering can scale web services. Finic agents complete investigations in 1-5 minutes, compared to 1-2 hours for human analysts.\n\nThe Finic platform has three parts, all of which are built on top of a multimodal reasoning engine.\n\n### **SOPs**\n\nEach Finic agent is defined with a SOP, or list of actions they need to take in order to investigate a ticket. This can include data retrieval steps to build a profile of the customer’s activity, analysis steps to reason about whether fraud is taking place (and if so, what kind), as well as actions the agent can take once a decision is made, like escalating tickets for human review.\n\nCustomers can create an SOP on Finic from scratch or import an existing document to **automatically generate each action based on existing SOPs.**\n\n![uploaded image](/media/?type=post&id=85671&key=user_uploads/139135/d3036616-7071-4c1a-a95d-9777fe9b412c)\n\n### **Tools**\n\nFraud analysts need many tools to conduct an investigation, from internal dashboards to SQL tables to vendor data.\n\nFinic uses intelligent automation to connect to any data source and use it the same way a human analyst would: through a browser.\n\nRather than waiting for the engineering team to build new APIs, all it takes to get started with Finic is a list of credentials for the tools they use, drastically **reducing the time it takes to get to ROI.**\n\n### **Audit Logs**\n\nWhether the investigator is an AI agent or a human analyst, keeping a trail of why decisions were made is just as important as making the right decision. In fact, several regulations mandate that financial institutions keep logs of not just transactions but also the reasons why transactions or accounts were flagged as fraudulent.\n\nFinic agents “think out loud” and document each step in the SOP, including what data sources they used, how they arrived at their conclusions, and what steps they took afterward. This makes it easy for senior analysts to review agent activity to ensure compliance and is usually more comprehensive than the reports generated by junior analysts.\n\n## Learn more\n\nHere’s a list of some of the types of fraud we’re helping customers remediate:\n\n* Identity Fraud: Reviewing KYC tickets to determine if new signups are using stolen/synthetic identities, or if the account is being used as a proxy by a malicious third party.\n* Friendly Fraud: Reviewing account activity and dispute packages from third parties to determine if customer-reported issues like credit card chargebacks are legitimate.\n* Account Takeovers (ATO): Reviewing accounts flagged with unusual login activity, and looking at device fingerprint, IP address, transaction activity and other signals to determine if the account has been compromised.\n\nIf you’re a fintech looking for ways to 10x the capacity of your fraud ops team without increasing headcount, **email me at **[**jason@finic.ai,**](mailto:jason@finic.ai)** and I’d be happy to show you a demo.**", "url": "https://www.ycombinator.com/launches/MHn-finic-ai-that-investigates-financial-fraud", "votes": 22, "created_at": "2024-11-18T20:31:43.972Z" }, { "id": 77023, "title": "🌱 Dealwise: an AI powered investment bank for startups", "tagline": "Get acquisition offers in just 3 months. No exclusivity, cancel anytime", "body": "We’re Jason and Ayan from the W23 batch of YC, and we’re building **Dealwise, an AI powered investment bank for startups**\n\n### **TL;DR:**\n\nDealwise helps founders sell their startup. We use AI to automate the back office work associated with dealmaking. This let us serve startups too small for traditional investment banks, while running an accelerated process that gets founders offers in half the time.\n\nContact me at [jason@godealwise.com](mailto:jason@godealwise.com) or visit [godealwise.com](http://godealwise.com) to learn more!\n\n### Background\n\nBefore being founders, Ayan and I were each other’s PMs and software engineers at Robinhood. Around August 2023, we noticed a lot of interest in M&A activity from our founder friends, including one batchmate who we advised informally in the sale of his startup. We started learning about what it takes to get deals done, and that’s when we realized there was a massive gap in advisory services for founders who want to step off the venture path (or were never on it in the first place) that existing service providers don’t fill.\n\n![uploaded image](/media/?type=post&id=77023&key=user_uploads/139135/6ef79a46-b348-4364-b427-e798acfd74d7)\n\n### **The problem**\n\nSelling a company is hard. In fact, **over 90% of deals fall apart before the transaction closes!** Acquisitions are like babies - each one is a miracle, but somehow they still happen all the time. This difficulty is why the investment banking industry rakes in over $300bn per year. \n\nGiven the high failure rates, founders must run an efficient process. They can’t afford to waste months or even years on a deal that never closes.\n\nUnfortunately, if you’re the founder of a startup worth less than $50M, no reputable investment bank is going to work with you, as they won’t generate enough in fees for it to be worth their time.\n\nThis leaves founders with just a few options that, frankly, all suck.\n\n**Traditional M&A Advisors**\n\nThere are many M&A advisors (sometimes called business brokers) in the lower end of the market that work with small businesses. However, selling a small company is just as much work as selling a much bigger one, so successful advisors tend to move upmarket. That means most advisors working with startups are either bad at their job, or very new and inexperienced. \n\nDue to the high failure rates in M&A, advisors sign as many clients as possible and lock them in to exclusivity agreements that ensure they get paid a fee if any client sells in the next 2 years, regardless of whether the advisor was involved. This is not an extreme case, **these predatory agreements are the norm** for M&A advisory firms.\n\nPlus, traditional M&A advisors almost always come from a business background - few understand the software industry or have networks that are better than the founders they work with.\n\n**Marketplaces**\n\nMarketplaces like Flippa or Acquire.com are great for four, five and six figure transactions paid for in cash by individuals, but serious corporate and institutional buyers avoid these platforms.\n\nFor transactions that are seven figures and up, buyers usually need some combination of equity and/or debt financing, which means the bar is much higher for diligence. It also means founders expect a lot more support through the process than what they get listing on a public marketplace.\n\n**DIY**\n\nGiven the alternatives, it’s no wonder most founders with between $1mm and $5mm revenue opt to DIY their acquisition process.\n\nUnfortunately we see many founders who’ve gotten stuck in a viscous cycle of: spend time chasing buyers → get distracted → growth declines → selling gets harder → spend even more time chasing buyers → growth declines more → ultimately shut down.\n\nThe median founder sells 0 companies in their lifetime, so it makes no sense to become a M&A expert when you have a business to run.\n\n### **The solution**\n\nWe started Dealwise in December 2023 to help startup founders get acquired. We use AI to automate the back office work, which means we get healthy margins on transactions that are too small for investment banks. More importantly, it allows us to **run a process in just 3 months** compared to the typical 6-12 months process for M&A advisors and investment banks. As a founder, it means you can get feedback sooner instead of wasting a year with an M&A advisor who’s stringing you along but not doing much work for you behind the scenes.\n\nWe’re new, but our track record is phenomenal. Traditional M&A advisors typically take a minimum of 6 months to close a deal, and 12 months or more if it’s their first deal. We went from launch → 7 figure deal closed in just 3 months, with several more under offer. Our record for clients was just 4 weeks from the start of our engagement to first offer submitted.\n\nAs we scale, we’ll apply our experience building LLM tooling at our previous startup to continue automating tasks like buyer prospecting, thesis generation, NDA signing, and data room creation so we can focus our time on supporting founders through their acquisition journey.\n\n### **Why is this important?**\n\nPatrick and John Collison sold a little known startup called Auctomatic in 2008 before founding Stripe. Sam Altman’s first company, Loopt, raised $30M from investors only to sell for a “modest” $40M. Before Uber, Travis Kalanick spent six years trying to make a startup called Red Swoosh work, at one point moving back in with his parents, before finally selling it in 2007. And Socialnet was considered a failure by its founder, Reid Hoffman, after being acquired for a “modest sum” in 2002.\n\nFor startups that struggle to hit escape velocity, sometimes the best option is to sell it so the founders can move on to greener pastures.\n\n![uploaded image](/media/?type=post&id=77023&key=user_uploads/139135/a9f2b058-74b2-404f-a8f0-eb8921afbc1a)\n\nBut selling a startup is a difficult, and often lonely process. We want to be there for founders when their VCs have stopped replying.\n\n## **Our ask**\n\nIf you know a founder who are considering an exit, email me at [jason@godealwise.com](https://www.gsb.stanford.edu/experience/about/centers-institutes/ces/research/search-funds). We keep conversations 100% confidential and I’ll be more than happy to chat even if all they’re looking for is some advice and insights on the market.\n\nThe founders who will best fit for Dealwise have a few things in common:\n\n* They sell software, or software-enabled services\n* They have at least $1mm in ARR\n* They are profitable or have a clear path to profitability\n* They are motivated - if they had to choose between an exit and raising a round, they’d choose to exit\n* They already have buyer interest and are looking to run a more competitive process\n\nLearn more on [our website](https://godealwise.com/), or reach me at [jason@godealwise.com](https://www.gsb.stanford.edu/experience/about/centers-institutes/ces/research/search-funds) if you want to chat about acquiring or exiting a startup.", "url": "https://www.ycombinator.com/launches/K2J-dealwise-an-ai-powered-investment-bank-for-startups", "votes": 24, "created_at": "2023-12-19T17:04:54.030Z" } ] }, { "id": 28080, "name": "Tagsafe", "slug": "tagsafe", "former_names": [ "Tagsafe", "Swishjam" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d607b93f3da26fde36fd956fe7b3fb67f045e121.png", "website": "http://www.tagsafe.io", "all_locations": "Cincinnati, OH, USA; Remote", "long_description": "", "one_liner": "", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1678306868, "tags": [ "SaaS", "B2B", "Analytics", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tagsafe", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/tagsafe.json", "year_founded": null, "city": "Cincinnati", "country": "US", "linkedin_url": "https://www.linkedin.com/company/swishjam", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d607b93f3da26fde36fd956fe7b3fb67f045e121.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [], "jobs": [], "news": [], "launches": [ { "id": 77810, "title": "Revenue Analytics by Swishjam — Connect your product usage data to revenue", "tagline": "Pull in all of your core SaaS-related revenue metrics into a single dashboard to enable you to better understand your business and keep track of what matters most; your revenue.", "body": "Swishjam’s Revenue Analytics solution pulls in all of your core SaaS-related revenue metrics into a single dashboard to enable you to better understand your business and keep track of what matters most; your revenue. Most importantly, your revenue is now automatically connected to your user’s product usage.\n\n![uploaded image](/media/?type=post&id=77810&key=user_uploads/26873/84e0b9b4-523c-4c42-a7b2-48f85eeb3255)\n\n**How does it work?**\n\nSwishjam connects to your Stripe account, syncs your data, and calculates all of your most important SaaS-related revenue metrics such as MRR, churn rate, revenue retention, and more.\n\nWhen you enable Revenue Analytics in Swishjam, you get:\n\n1\\. **Revenue Analytics Dashboard** - data visualizations of all your key revenue metrics.\n\n2\\. **Automations & Slack Notifications** - because Swishjam is now ingesting your Stripe events as they occur in real-time, you can set up [automations](https://swishjam.com/solutions/automations) to take actions when important revenue-related events occur.\n\n3\\. **Reporting** - Get daily/weekly/monthly reports on your revenue in Slack or by email.\n\n4\\. **User Profiles Tied to Revenue** - we automatically tie user profiles from your product analytics to Stripe data. This lets you build a better picture of your customer without lifting a finger. We also roll up this data to organizations if your app has that type of billing. Coming in version 2 is the ability to predict churn from this data and catch zombie users before they churn to keep more of your hard-earned customers.\n\n**Why is this exciting?**\n\nSure, lots of other apps already have this type of dashboard but **none that we know of can tie this type of information together easily**. Currently, it’s quite painful and most usually a manual process. This is also a big step towards our larger mission of tying your disparate data sources into your product analytics data as a first-party citizen, automatically stitched to your user profiles, and creating a true 360 user profile. What this means is that within Swishjam, you will be able to easily sift, segment, and visualize all of your product analytics data along with your billing data (and other data sources!) to answer questions like:\n\n1\\. Which of my users’ usage is dropping off who are subscribed to the Gold Plan?\n\n2\\. What percent of users on the Free Trial trigger the {your aha moment} event?\n\n3\\. What were the usage patterns for user XYZ leading up to their churn?\n\nInterested in getting access? Drop us a line at [founders@swishjam.com](mailto:founders@swishjam.com) and we’ll get you up and running in a few clicks.", "url": "https://www.ycombinator.com/launches/KF0-revenue-analytics-by-swishjam-connect-your-product-usage-data-to-revenue", "votes": 15, "created_at": "2024-01-24T15:34:14.849Z" }, { "id": 70623, "title": "Swishjam - Open-source suite of page speed optimization tools", "tagline": "We help companies measure, monitor, and optimize their page speed to deliver best in class experiences to their users.", "body": "Hey all - Collin here, co-founder of Swishjam.\n\n[Swishjam](https://www.swishjam.com) is a suite of [open-source](https://www.github.com/swishjam/swishjam) tools that enables companies to deliver the best experience to their users by providing them with the tools they need to measure, monitor, and optimize their page speed.\n\n**Page speed really, really matters**\n\nPage speed is one of the most important yet overlooked metrics to delivering the best experience to _all_ of your users. A faster page load is directly correlated with higher conversion, better SEO, and lower bounce rates. Amazon reported in 2006 that every additional 100ms in page load resulted in a 1% drop in revenue. Despite that, the page speed tooling is lagging behind, leaving users with more questions than answers.\n\nWe first encountered this problem when working with users in a past role watching them attempt to diagnose performance issues on their site. While page speed was a top priority for them, they often had to use legacy software, and/or hire expensive consultants to triage and resolve them.\n\n**A wholistic solution to measuring, monitoring, and optimizing page speed**\n\nSwishjam helps you identify page speed bottlenecks by capturing key performance metrics your users are receiving on your site. Our dashboards help you make sense of your overall page speed, and provides you with actionable insights and tooling to improve.\n\n![uploaded image](/media/?type=post&id=70623&key=user_uploads/622150/fba9b8fe-a743-4318-abdd-79efe6954328)\n\n![uploaded image](/media/?type=post&id=70623&key=user_uploads/622150/4bebf3e3-89f4-466d-95db-391c1359feae)\n\n![uploaded image](/media/?type=post&id=70623&key=user_uploads/622150/1319cc5c-129a-4663-b194-61fc999f5da4)\n\n**Want to learn more?**\n\nIf you or someone you know works in eCommerce, digital media, or a related industry where page speed is important KPI, we’d love any intros! You can get in touch with us at [founders@swishjam.com](mailto:founders@swishjam.com).", "url": "https://www.ycombinator.com/launches/IN5-swishjam-open-source-suite-of-page-speed-optimization-tools", "votes": 35, "created_at": "2023-03-29T17:38:10.086Z" } ] }, { "id": 28414, "name": "Automat", "slug": "automat", "former_names": [ "Lasso", "Automat (formerly lasso)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/55c324c494df9a6e5d939b7ecdc8e94880f2d575.png", "website": "https://www.runautomat.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Automat is an AI automation company that replaces slow manual work and brittle legacy RPA with agents that understand context, recover from errors, and improve over time. Backed by a forward-deployed engineering team and enterprise-grade security (SOC 2, HIPAA, GDPR, ISO 27001), Automat runs reliable, human-in-the-loop automation for document-heavy industries — mortgage & lending, banking, insurance, healthcare, and manufacturing. It delivers this through two products: Automat Workforce and Automat Core.\r\n\r\nWorkforce - A digital teammate you onboard like a new hire. \r\nMeet Ace, a digital teammate with its own email, Slack, phone, and logins that works across the tools your team already uses. You reach it like a colleague (a text, a channel mention, an email, a doc comment) and it does the work end to end, asks when it needs judgment, and leaves an audit trail for everything it touches.\r\n\r\nLearn more here: https://runautomat.com/workforce \r\n\r\n\r\nCore - Managed agentic automation for enterprise \r\nManaged, AI-powered process automation for the enterprise. Automat Core replaces legacy RPA with self-healing agents that combine UI automation, AI document extraction (IDP), and API workflows in one platform. Automat's team builds, tests, and monitors every automation, so operations go live in days (not months), run reliably at scale, and cut operational costs — with human review wherever precision matters.\r\n\r\nLearn more here [https://runautomat.com/capabilities](https://runautomat.com/capabilities)", "one_liner": "Agentic automation that understands context, recovers, and improves.", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1677178978, "tags": [ "Documents", "Developer Tools", "Robotic Process Automation", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/automat", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/automat.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/90558949/admin/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/55c324c494df9a6e5d939b7ecdc8e94880f2d575.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": 415306, "full_name": "Lucas Ochoa", "title": "Founder", "founder_bio": "CEO at Automat | Ex:Google & Microsoft", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucas-ochoa-51222678/", "x_url": "https://twitter.com/lucas0choa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a3460bb02cae910a8167c7a514d4b7c6208771d6.jpg" }, { "user_id": 249452, "full_name": "Gautam Bose", "title": "Founder", "founder_bio": "Open Laptop, an Open Mind", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gautambose/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6cc3e7ee978641ccc9ae1932877dff2f101c8f69.jpg" } ], "jobs": [ { "id": 77831, "title": "Applied AI Engineer", "url": "https://www.ycombinator.com/companies/automat/jobs/JyD9j1f-applied-ai-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$175K - $220K", "equity_range": "0.25% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 77834, "title": "Sales Development Representative", "url": "https://www.ycombinator.com/companies/automat/jobs/95CHPIW-sales-development-representative", "location": "San Francisco", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$90K - $130K", "equity_range": "0.02% - 0.05%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 77835, "title": "Enterprise Account Executive (Full Cycle)", "url": "https://www.ycombinator.com/companies/automat/jobs/WDGBMTs-enterprise-account-executive-full-cycle", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$90K - $140K", "equity_range": "0.02% - 0.05%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79159, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/automat/jobs/QfHWU1w-forward-deployed-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$145K - $185K", "equity_range": "0.05% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 81081, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/automat/jobs/Uak8GDJ-senior-software-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$175K - $220K", "equity_range": "0.05% - 0.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Automat Raises $15.5M Series A | Automat", "url": "https://www.runautomat.com/blog/automat-raises-15-5m-series-a", "date": "Nov 19, 2025" }, { "title": "Y Combinator-backed Automat turns videos into workflow automations | TechCrunch", "url": "https://techcrunch.com/2023/09/06/y-combinator-backed-automat-turns-videos-into-workflow-automations/?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAMl7GrmIJwYOYFCoUcYfqNTrV0r82APvTlpVt0DMIEyjpjQS9MtJb9DFuiE2HtyaFOpOQzv4SZPUnB89Y9Lxdkdk1vXkAKBjYDjtkKkbSOpUGhc_GhcgUMy3aS5HO5L99OwXIn1t8_zFB9_NfDUPitSBQXBL-PWj4j52H5k2nzke", "date": "Sep 06, 2023" }, { "title": "These Y Combinator-backed startups are trying to build 'ChatGPT for X'", "url": "https://techcrunch.com/2023/04/04/these-y-combinator-startups-are-trying-to-build-chatgpt-for-x/", "date": "Apr 04, 2023" }, { "title": "The Top 34 Companies of the W23 Program with a focus on AI", "url": "https://www.cerebralvalley.com/post/a-synopsis-of-y-combinator-companies-in-the-w23-batch-of-startups", "date": "Mar 15, 2023" }, { "title": "AI-led change means businesses must adopt more quickly.", "url": "https://russmalz.com/ai-led-change-is-forcing-businesses-to-adapt-quickly-and-the-pace-is-accelerating/", "date": "Feb 26, 2023" } ], "launches": [ { "id": 117458, "title": "Ace from Automat: it's instinct, but for work", "tagline": "Hire an AI teammate with its own computer, phone number, inbox, and logins. It works inside the tools you already use and hands back finished work, not status updates.", "body": "Hi! Lucas here from Automat. Stoked to share what the team's been heads-down on: Ace. It's instinct, but for work. **The TL;DR: you can now hire an AI teammate.**\n\nEvery team we talk to wants AI teammates, but doesn't know how to actually put one to work. Maybe you've tried homebrewing OpenClaw or Hermes. The two usual options both whiff: traditional automation (UiPath) makes you sign up for a months-long integration project before it does one useful thing, and AI \"assistants\" hand you a wall of text, and you still go do the work yourself.\n\n**Ace is different.** You onboard it like any new hire, and it shows up where the work happens:\n\n• Forward it an email or cc its own inbox, and the draft lands in your Drive with the judgment calls left as comments.\n\n• @Ace in Slack after a call, and the summary + action items land on the opportunity.\n\n• Text it between meetings (\"move Thursday to Friday and tell them why\"), and it updates the invite, emails everyone, and confirms.\n\n• Ping it in a doc comment, or have it make a call on its own line.\n\nWhat comes back is finished work: CRM updated, email sent, invoice reconciled. When it hits a real fork in the road, it hands you the open questions instead of guessing.\n\n**Why trust it?** We spent two years automating high-volume work in mortgage, lending, and insurance, where a wrong answer is a compliance problem. Ace pairs a deterministic engine for must-be-identical work with AI for the fuzzy stuff. Every run is logged step by step, you set what needs approval, and you can revoke access like any employee's. SOC 2, encrypted credentials, role-based access.\n\n\"I really tried hard not to like this product, and I'm in love.\" — Asa Block, COO, Near Space Labs\n\n\"It's a no-brainer… Monday to Friday you won't believe how much more stuff you get done.\" — Jack Miller, President & CEO, T3 Sixty\n\n## Our asks 🙏\n\n• Try Ace: One month free with unlimited usage for the YC community only. Sign up here:() Use the promo code: ACEYC30\n\n• Intros: Know a team drowning in admin across a dozen systems? Send them our way.\n\n• We're hiring! ", "url": "https://www.ycombinator.com/launches/UYU-ace-from-automat-it-s-instinct-but-for-work", "votes": 1, "created_at": "2026-09-30T16:33:11.033Z" }, { "id": 69615, "title": "Automat RPA - Robotic process automation for Chrome using ChatGPT and computer vision", "tagline": "Automate anything in Chrome using natural language", "body": "### **TLDR: Traditional automation software is slow and expensive, Automat is 10X faster and 1/10th the price. It lets operations teams automate using natural language.**\n\nHowdy y’all! Lucas here from [Automat](https://www.getlassoai.com/) - excited to share what my cofounder Gautam and I have been working on!\n\n**🧐 The problem: Traditional Robotic Process Automation is slow and expensive.**\n\nIt’s extremely time consuming and expensive to build out robot process automations using traditional tools like UiPath (\\~$66,000 per yearly license - Yikes!) not to mention the initial consultant setup fees which most people are forced to pay if they don’t have the resources in house (at the lowest end we’re talking $50,000+ per project - Double Yikes!!)\n\n💡 **Our Solution: Automat makes it 10X cheaper and faster to build any robotic process automation using natural language on chrome.**\n\nWe’re solving this by creating a platform that enables robotics process automation for Chrome using large language models and computer vision.\n\nCurrently our customers send us descriptions or videos of the processes they’d like us to automate and we use our internal tooling to quickly build out those automations.\n\nHere is one of our customer’s attended bots in action, scraping an email, looking through a prospecting tool, and saving it to a spreadsheet.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=69615&key=user_uploads/415306/a547a684-faee-4c6e-b3db-88cef800940a)\n\n\\\nWe want to let anyone regardless of timeline or budget automate the work they do by using natural language or simply sending Automat the workflow in a screen recording.\n\n**👯 A little more about us**\n\n![uploaded image](/media/?type=post&id=69615&key=user_uploads/415306/e82023cd-a7c1-4be3-8446-f2e0c2eae6f6)\n\nGautam and Lucas met on the first day of Design school at Carnegie Mellon University and have been roommates ever since:\n\n* At Google, their team was tasked with finding product applications of [LaMDA](https://blog.google/technology/ai/lamda/) in early 2020, and they built over 50+ prototypes integrating LaMDA across Google’s products and services. Eventually Gautam would go on to implement multiple demos for Google’s [first public Demonstration of LaMDA](https://www.theverge.com/2022/5/11/23065072/google-ai-app-test-kitchen-future-io-2022), the AI test kitchen.\n* They were hired together at Google’s Creative Lab as part of the [Creative Lab 5](https://www.creativelab5.com/), at Google they spent the following three years launching products like the [AI Test Kitchen](https://blog.google/technology/ai/join-us-in-the-ai-test-kitchen/), [Everyday Helper Robots](https://everydayrobots.com/), [Teachable Machine](https://teachablemachine.withgoogle.com/), the [Google Pixel Buds Pro](https://store.google.com/product/pixel_buds_pro?hl=en-US&pli=1), and most importantly a [high speed lucky charms cereal sorter](https://coral.ai/projects/teachable-sorter) 🍀\n* At Carnegie Mellon they studied Human Computer Interaction and Design. During their Junior year they created an adorable [AI robotic assistant](https://vimeo.com/270823057) that caught Google’s attention which awarded them a grant during their senior year to [research Robotics and AI](https://vimeo.com/393172151).\n\n**🙏 Our asks**\n\nAre you struggling in a deluge of repetitive or complex tasks that you wish you could hire someone for (or automate) but don’t have the budget? Send an email to [lucas@runautomat.com](https://lucas@runautomat.com) or submit a request on our [website](https://www.getlassoai.com/).\n\nDoes the above sound like someone you know? We’d appreciate intros to anyone. Let us know and we can send you over a quick intro blurb to make it an easy email to forward.\n\n**YC Special Offer:** For the first 10 YC companies that reach out we’ll waive the setup fee associated with building your automation!", "url": "https://www.ycombinator.com/launches/I6p-automat-rpa-robotic-process-automation-for-chrome-using-chatgpt-and-computer-vision", "votes": 91, "created_at": "2023-02-23T19:08:21.664Z" } ] }, { "id": 28795, "name": "Magic Loops", "slug": "magic-loops", "former_names": [ "ChatSeed" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/72461fd4d5fd3609cdf2cd37c5c97828c31ab516.png", "website": "https://magicloops.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Magic Loops are the fastest way to automate (almost) anything. By combining generative AI with code, we make it easy for anyone (yes, even non-programmers!) to setup repeatable tasks and automated workflows.\r\n \r\n- Want to use ChatGPT to classify new product features from a Close call? \r\n \r\n- Want to receive a text when someone purchases >$1000 from your Shopify store?\r\n \r\n- Want to replace your bespoke AWS Lambdas with self-repairing code? \r\n \r\nBuild your first Magic Loop today! ", "one_liner": "Program computers with natural language", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1687488006, "tags": [ "Generative AI", "Consumer", "Productivity", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/magic-loops", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/magic-loops.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/magicloops", "x_url": "https://twitter.com/magicloopsdev", "fb_url": "https://www.facebook.com/magicloopsdev", "cb_url": "https://www.crunchbase.com/organization/magic-loops", "github_url": "https://github.com/magicloops", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/72461fd4d5fd3609cdf2cd37c5c97828c31ab516.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/62/1694197743455-h0042gdd2vj-87617f122ca655b13be8286539cdf27f/410d45233333180cb2b2191f5a2d7bde.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022713Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=afd4d4b26ec7f121871e9dbb75485c32cb8c555cc14ea606702fe25c23b52ac8", "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ce782cd362af30800be119d64da5a5c4f7a24bc9.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 633171, "full_name": "Adam Williams", "title": "Founder", "founder_bio": "Vibe coding for the next 200 million programmers. Previously: Grew Kojo from Seed to Series C, millions in ARR, 1 to 20+ engineers. Created Long Game from scratch (off) to millions in AUM. Built weather data infrastructure for all iPhone and Android phones in the US. Wrote digital logic (FPGA) for two satellite missions (NASA) and a Mars rover (ESA/NASA).", "is_active": true, "linkedin_url": "https://linkedin.com/in/%F0%9F%8F%97-adam-williams-%F0%9F%9A%A7-0995a949", "x_url": "https://twitter.com/jumploops", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e60231728d1b4aad47a32f72eb48a7475dfa99b.jpg" } ], "jobs": [], "news": [ { "title": "Our favorite startups from YC’s Summer 2023 Demo Day, Day 2 | TechCrunch", "url": "https://techcrunch.com/2023/09/07/ycombinator-demo-day-two-summer-2023/", "date": "Sep 07, 2023" } ], "launches": [ { "id": 74297, "title": "Magic Loops - Easy automation with AI", "tagline": "Combine LLMs and code to create simple automations", "body": "Howdy! We’re Adam and Mihai from Magic Loops — a new way to program computers using generative AI.\n\n### **tl;dr**\n\nMagic Loops combine LLMs and code to make simple automations easy to build and run.\n\n### **🙈 The Problem**\n\nYou want to automate a repetitive task or workflow.\\\nToday, you’re likely: \n\n1. Attempting to use a **no-code/low-code** tool but struggling with **limitations**\n2. Trying to use **ChatGPT** but struggling with **numbers and repeatability**\n3. **Calling an engineer** because you’re in over your head\n\n### 🪄 **Magic Loops** ➰\n\nSimply describe your task and we’ll generate a loop that uses a combination of code and LLM “blocks” to handle your workflow.\n\nWe give you full control over the loop, allowing you to change and modify it until it fits your needs.\n\nYou can run the loop at set times or by sending an email or webhook. Each loop can utilize code, LLMs, integrations, and APIs. The output of each loop is a text message, email, or webhook.\n\nOnce you've tested your loop, hit publish and we’ll host it for you.\n\n![uploaded image](/media/?type=post&id=74297&key=user_uploads/633171/f484bd0f-3da3-46d3-ac2c-8102d794d722)\n\n### **What are people using Magic Loops for?**\n\n**Investors: Watching YC launches**\n\n* [YC S23 Watcher](https://magicloops.dev/loop/5f524d25-f213-4943-af57-244ead73c15f) will text you the latest YC launches\n\n**Can of Soup: Generating novel pictures**\n\n* [Daily Image Prompt](https://magicloops.dev/loop/4246b18f-f258-44bf-aa2f-145a5eac2703) uses LLMs to generate three meme-worthy prompts\n\n**Bland AI: Demoing your API-based product**\n\n* [Bland AI - Demo](https://magicloops.dev/loop/d8c1ba48-fa78-4599-8d0d-1d5ba8a35368) triggers an AI phone call whenever an email is received\n\n### **Our Ask**\n\n[Try out Magic Loops](https://magicloops.dev) and let your imagination run wild!\n\nWe've seen a variety of uses from simple stock watchers all the way to complex customer onboarding flows.\n\nIf you find a loop you can't yet build, [reach out](mailto:help@magicloops.dev) and **we'll build it with you**.\n\nWe're looking forward to seeing what you create!", "url": "https://www.ycombinator.com/launches/JKL-magic-loops-easy-automation-with-ai", "votes": 92, "created_at": "2023-08-22T14:08:18.348Z" } ] }, { "id": 28886, "name": "Cardinal Gray", "slug": "cardinal-gray", "former_names": [ "Cardinal Gray Incorporated" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd23108e8186366e29a1827c228ceddd75097d20.png", "website": "https://www.cardinalgray.com/", "all_locations": "New York City, NY, USA", "long_description": "When a lender gives out a car loan, they need to file a lien with their borrower’s DMV. This is difficult because the process varies by state and county. We’ve leveraged LLMs to help lenders automate lien filings for over $1B of loans.", "one_liner": "Automating lenders' interactions with the DMV", "team_size": 6, "industry": "Fintech", "subindustry": "Fintech -> Credit and Lending", "launched_at": 1687970738, "tags": [ "Enterprise Software", "Consumer Finance", "Automation", "AI", "Automotive" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Fintech", "Credit and Lending" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cardinal-gray", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cardinal-gray.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cardinal-gray/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd23108e8186366e29a1827c228ceddd75097d20.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1136419, "full_name": "Jack Chapman", "title": "Founder", "founder_bio": "CEO @ Cardinal Gray", "is_active": true, "linkedin_url": "https://linkedin.com/in/jack-chapman-2b7b75153", "x_url": "https://x.com/chapolantern", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/87582e783c75d6f4de9e3bdb90d15c0513018c2c.jpg" }, { "user_id": 1479733, "full_name": "Muhammad Khattak", "title": "Founder", "founder_bio": "Cofounder @ CG | Prev. R&D Engineer at Veridise, Stanford Philosophy", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/muhammad-khattak-b87a73156/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/40007bd00d02fef789ad9f4d0ec2f62aa7b70f29.jpg" }, { "user_id": 1163950, "full_name": "Grant Pease", "title": "Founder", "founder_bio": "Cofounder @ Cardinal Gray\n", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/grantpease1017brr", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/37a1e83754a66d84681c97389898e76cc1e2d256.jpg" } ], "jobs": [ { "id": 82553, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/cardinal-gray/jobs/AcQcqtv-founding-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $160K", "equity_range": "0.50% - 2.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "HTML", "JavaScript", "React", "TypeScript", "Software Architecture", "Prompt Engineering" ] } ], "news": [], "launches": [ { "id": 74164, "title": "Cardinal Gray - Helping auto lenders instantly send title data to DMVs", "tagline": "Auto lenders spend 30M hours a year sending title documents to 50 different state DMVs. Cardinal Gray automates this.", "body": "### **Our Team**\n\n![uploaded image](/media/?type=post&id=74164&key=user_uploads/1136419/54416cc8-471b-4684-855a-0b4cd7f37fe0)\n\nHey! We’re Grant, Muhammad, and Jack. We’re building titling tools for auto lenders. For example, when a loan gets paid off, we instantly release the lien placed on the car.\n\nBefore we jump into it, you might be wondering: what is a lien? A lien is a legal claim auto lenders file with the DMV to establish their legal claim over a borrower's car and secure the loan payments, but managing this collateral with the DMV is a headache for lenders.\n\n### **The Problem**\n\nAuto lenders spend 30 million hours a year sending title documents to 50 different state DMVs. At Cardinal Gray, we’re automating this.\n\nTitle work is time intensive because lenders’ systems are not connected to DMV systems. Lenders spend >$2 Billion each year on employee labor to manually aggregate and forward the relevant data and documents to state governments.\n\nFor lenders, a slow lien filing process can lead to billions of dollars in unsecured loans. A slow lien release process creates tension with dealerships and customers because car ownership can’t be transferred until a lien gets released.\n\nOn top of this, manual processes lead to errors. At any given time, 20% of lien filings are inaccurate.\n\n### **Our Product**\n\nWe fix this by interfacing with lender and DMV databases. Our software monitors a lender’s loan data, and when a loan gets created or paid off, we ping the appropriate DMV to file or release the lien. When a DMV creates or edits data, we reference this change with the bank and resolve discrepancies before they cause issues.\n\n### **How We Found This**\n\nA year ago, we were trying to create a decentralized marketplace for car loans. We actually applied to YC’s W23 batch with this idea, and we were told that it was too complex and that it was unclear why it required blockchain. They were right. We were boiling the ocean.\n\nAs we continued investigating auto lending, we discovered dealerships originate roughly 80% of all auto loans, and lenders automate credit decisions and funding at the same rate. We realized that a major bottleneck to automated car financing was manual title work, so we did a deep dive into DMV systems. As it turns out, this work can also be automated.\n\n### **Our Ask**\n\n* **Are you in auto lending?** We’d love to meet. Shoot us an email at [founders@cardinalgray.com](mailto:founders@cardinalgray.com)\n* **Do you know anyone in auto lending?** We’d love to be introduced. We have a strong pipeline, but the more the merrier.\n\n🧯 get in touch / [cardinalgray.com](http://cardinalgray.com) / [founders@cardinalgray.com](mailto:founders@cardinalgray.com)", "url": "https://www.ycombinator.com/launches/JIC-cardinal-gray-helping-auto-lenders-instantly-send-title-data-to-dmvs", "votes": 48, "created_at": "2023-08-16T18:28:21.150Z" } ] }, { "id": 28902, "name": "Sidenote", "slug": "sidenote", "former_names": [ "Agent", "Ube" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/949b8814325dbb3fbd3160ffb4215cc58351724a.png", "website": "https://www.sidenote.ai", "all_locations": "San Francisco, CA, USA; Stanford, CA, USA", "long_description": "Sidenote is a Chrome extension that turns meeting notes into drafted emails, calendar invites, tickets, and reminders.", "one_liner": "Meeting follow-up, automated", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1689906842, "tags": [ "Productivity", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sidenote", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sidenote.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/96152063", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/949b8814325dbb3fbd3160ffb4215cc58351724a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 969556, "full_name": "Jason Lin", "title": "Founder", "founder_bio": "Computer Science @ Stanford (Human-Computer Interaction). Led team to build the US's first vaccination tracker.", "is_active": false, "linkedin_url": "https://linkedin.com/in/jason-lin-0463ab110", "x_url": "https://twitter.com/jclin22009", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6d66477f88ba2106cd86cb0ed5f572e2c1523815.jpg" }, { "user_id": 1078742, "full_name": "Scott Hickmann", "title": "Founder", "founder_bio": "I'm a technical founder at the edge of hardware and AI, focused on building a future where creating physical products feels as immediate as creating software.\n\nI studied electrical engineering and computer science at Stanford, where I built the viral motorized couch, worked on Robosub, and developed Chirpy Cardinal at Stanford AI Lab.", "is_active": false, "linkedin_url": "https://linkedin.com/in/scott-hickmann", "x_url": "https://x.com/ScottHickmann", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5e7a21893ca419bdd8c54b7632e00af2e03f8740.jpg" }, { "user_id": 1381763, "full_name": "Schwinn Saereesitthipitak", "title": "Founder", "founder_bio": "Deep Learning Research @ Stanford AI Laboratory and NVIDIA. Ex-Cryptography Researcher @ Stanford EE.", "is_active": false, "linkedin_url": "https://linkedin.com/in/szawinis", "x_url": "https://twitter.com/szawinis", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/081e34ee3e0e7527dcab04e21cc1f8b3dc2d7b95.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73281, "title": "✍️ Sidenote: Meeting follow-up, automated", "tagline": "Sidenote is a Chrome extension that turns meeting notes into drafted emails, calendar invites, tickets, and reminders.", "body": "📝 **TLDR**: After a meeting, Sidenote’s AI copilot analyzes your notes, finishes your tedious action items, and keeps track of the rest, so that you never miss a todo. [**Try here**](http://sidenote.ai/chrome)!\n\n## ❌ **The Problem**\n\nEver forget to follow up on something you promised during a meeting? We can do it automatically for you, freeing up your mind and time.\n\n## ✨ **Our Solution**\n\n![uploaded image](/media/?type=post&id=73281&key=user_uploads/969556/d6f9f0cb-d24b-4f5b-973e-f08301f42da4)\n\n**Sidenote** takes the burden of remembering todos off your shoulders by analyzing your notes, detecting your action items, and completing them. Currently, we can:\n\n* 📅 Create a follow-up meeting for next week\n* 🗒️ Assign a task to design team in project management software\n* ✉️ Draft an email to the project team with the new deadlines\n* 🔔 Add a todo to finish my proposal\n\nWe support **Notion**, **Google Docs**, **Google Calendar**, **Linear**, and more.\n\n## 🚀 **What’s Next?**\n\nStarting with meetings, we envision Sidenote becoming your work copilot, automating all repetitive parts of your personal work. This means integrating with more platforms and allowing users to create custom automated actions for unique workflows. Request a specific automation [here](mailto:contact@sidenote.ai).\n\n## 💜 **The Team**\n\n![uploaded image](/media/?type=post&id=73281&key=user_uploads/969556/40d687f6-b94f-44ed-bdc3-e2936dff1340)\n\nWe're [**Jason**,](https://www.linkedin.com/in/jason-chen-lin/) [**Scott**](https://www.linkedin.com/in/scott-hickmann), and [**Schwinn**](https://www.linkedin.com/in/szawinis/). We met at our dorm at Stanford and have been hacking together ever since!\n\n🙏 **We Want Your Input**\n\n* Overwhelmed by meetings and todos (especially in CX)? Let's chat on [cal.com/jasonlin](http://cal.com/jasonlin)!\n* Take Sidenote for a spin at [**sidenote.ai/chrome**](http://sidenote.ai/chrome).", "url": "https://www.ycombinator.com/launches/J3x-sidenote-meeting-follow-up-automated", "votes": 70, "created_at": "2023-07-21T02:14:12.033Z" } ] }, { "id": 28981, "name": "Energent AI", "slug": "energent-ai", "former_names": [ "WAN", "WAN.ai", "CambioML" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bae38d9d5867168b2fe49799661efe7a7f64d1d1.png", "website": "https://energent.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Every AI tool will confidently hand you a wrong number — and in\r\nengineering and finance, a wrong number is expensive.\r\n\r\nEnergent.ai is an AI teammate that does your data work on a secure\r\ndesktop: reading documents and engineering drawings, cleaning messy data,\r\nwriting code, building charts. Then a second, independent agent audits\r\nthat output against your original source files and flags every claim that\r\ndoesn't hold up — catching roughly 3x more hallucinations than the model\r\nalone in our internal evals.\r\n\r\nEngineering teams check drawing sets before issue. Finance teams tie\r\nnumbers back to source. The best teams encode their own checking\r\nstandards as reusable rules, so it checks the way their firm checks.", "one_liner": "AI that audits AI — catching hallucinations before you ship them.", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1690762424, "tags": [ "Productivity", "Big Data", "Enterprise Software", "Automation", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/energent-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/energent-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/96598226", "x_url": "https://twitter.com/cambioml", "fb_url": null, "cb_url": null, "github_url": "https://github.com/CambioML", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bae38d9d5867168b2fe49799661efe7a7f64d1d1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 315284, "full_name": "Rachel Hu", "title": "Founder", "founder_bio": "Co-founder and CEO of Energent.ai. Previously Applied Scientist at AWS; Built LLMs and Led open-source ML projects D2L.ai adopted by over 500 universities around the world; AWS senior speaker: talked at AWS re:Invent, Nvidia GTC, KDD, etc..", "is_active": true, "linkedin_url": "https://linkedin.com/in/rachelsonghu", "x_url": "https://twitter.com/rachelhuml", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/658fccd20c27c542bddcbd3f85c0368f6b777a52.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 104955, "title": "Energent.ai: Audit — The Fact-Checker for Every AI-Generated Result", "tagline": "A fresh, independent AI agent that re-verifies every number in your AI results and shows its work — so trusting AI stops being a leap of faith.", "body": "Hey everyone! We're [Rachel](https://www.linkedin.com/in/rachelsonghu/) and [Kimi](https://www.linkedin.com/in/0xlingjiekong/), founders of [Energent.ai](https://www.energent.ai). We're excited (and honestly, a little proud) to introduce our newest feature: **Energent Audit**.\n\n## 🚀 TL;DR\n\nEnergent Audit is a built-in, independent second opinion for your for every AI-generated results, especially numbers. Ask Energent to \"prove it,\" \"double-check that,\" or \"show me where this number came from,\" and Audit spins up a completely fresh sub-agent — one with zero stake in the original answer — to retrace every number back to its source and hand you a clean HTML report on whether it holds up.\n\n## ❌ The Problem\n\nAI hallucination hasn't gone away — it's just gotten quieter. It shows up in the reports people care about most: financial analysis, health recommendations, board decks, the numbers real decisions get built on.\n\nWe interviewed 150+ users doing serious work with AI, and hallucination came back as their second-biggest concern overall — right after data security and privacy, and ahead of cost, speed, and everything else. The message was clear: people don't just want AI that's fast. They want AI they can stand behind.\n\n## 🛠️ Our Solution\n\nMeet **Energent Audit** — an independent audit layer for anything Energent builds for you.\n\nHere's the insight at the heart of it: the agent that wrote an answer is the worst-positioned agent to grade it. So instead of asking Energent to mark its own homework, Audit calls in a brand-new AI sub-agent with no memory of how the analysis was built and no attachment to the outcome. Its only job is to verify.\n\n**Independent, every time**\n\nA fresh sub-agent re-checks the work with zero investment in the original answer, so nothing gets rubber-stamped.\n\n_\"The agent that built it doesn't get to grade itself.\"_\n\n**Number-by-number validation**\n\nEvery figure is traced back to its source and re-derived — not glanced at, actually re-verified, one by one.\n\n_\"Trust, but verify, down to the decimal.\"_\n\n**Visual data lineage**\n\nA clear map of exactly which file, row, and transformation produced each number — so \"where did this come from?\" always has an answer.\n\n_\"Show your work, automatically.\"_\n\n**A report you can actually hand someone**\n\nEvery audit ends in a clean, shareable HTML report you can send to a stakeholder, a boss, or an auditor — or just keep for your own peace of mind.\n\n_\"Confidence you can forward.\"_\n\n![uploaded image](/media/?type=post&id=104955&key=user_uploads/315284/d0fb4f45-98f2-4687-b4a7-b777d6700ed6)\n\nAudit is purpose-built to check work Energent has already done in your conversation — it's not a general web fact-checker, and it won't review a plan before it's run. It's laser-focused on one question: does this answer, and every number in it, actually hold up?\n\n## 📖 Why We Built This\n\nThe same story came up again and again in our interviews: people loved what AI could do for their analysis, right up until they had to defend a number in a meeting. That gap — between \"the AI said so\" and \"I can prove it\" — is exactly what Audit closes. We believe trust in AI shouldn't be something you hope for. It should be one click away.\n\n## 🎯 Our Ask\n\n👉 Try Energent Audit today at [app.energent.ai](http://app.energent.ai) — run an analysis, then ask us to prove it.\n\n👉 Reach out directly at [admin@energent.ai](mailto:admin@energent.ai) to see it live.\n\nCheers, The [Energent.ai](http://Energent.ai) Team ❤️", "url": "https://www.ycombinator.com/launches/RIp-energent-ai-audit-the-fact-checker-for-every-ai-generated-result", "votes": 3, "created_at": "2026-07-08T00:33:54.610Z" }, { "id": 99597, "title": "ERPNow: The AI Analyst for Supply Chain & ERP", "tagline": "turn tons of operational data into real-time operational insights and future revenue", "body": "Hey everyone! We're Rachel and Kimi, the founders of CambioML. We are excited to introduce **ERPNow**.\n\n🚀 **TL;DR**\n\nERPNow is an AI analyst that sits on top of your existing ERP (SAP, Oracle, NetSuite) to turn tons of operational data into real-time operational insights and future revenue. It doesn’t just show you charts; it detects risks, explains root causes in plain language, and recommends exactly what to do next.\n\n❌ **The Problem**\n\nSupply chain teams are drowning in data but starving for insights. Traditional ERP systems are powerful but static—reports are slow, forecasts break the moment reality changes, and analysts spend weeks answering \"why did this happen?\" instead of \"what should we do next?\" By the time an exception is surfaced in a dashboard, the damage (stockouts or delays) is often already done.\n\n🛠️ **Our Solution**\n\nERPNow acts as an intelligent layer over your ERP, WMS, and spreadsheets. It provides:\n\n* **Real-time Risk Detection:** Monitors your supply chain 24/7 to surface anomalies (like a supplier delay or demand spike) the moment they appear.\n* **Plain-Language Root Cause Analysis:** Ask \"Why is this SKU at risk?\" and get a cited answer explaining that a specific supplier lead time increased by 40%, rather than just seeing a red bar on a chart.\n* **Actionable Recommendations:** It suggests specific fixes—like transferring inventory between warehouses or expediting a PO—to prevent issues before they escalate.\n* **Zero Workflow Disruption:** No ERP replacement required. It’s read-only by default and deploys in weeks, not quarters.\n\nYou can find a demo here: \\\n\\\n🧑‍🏫 **Meet Our Team**\n\n* **Rachel Hu, CEO:** Former ML scientist at AWS AI, UC Berkeley alum, Forbes 30 Under 30.\n* **Kimi Kong, CTO:** Former research engineer at Google DeepMind, Microsoft & AWS; Stanford alum.\n\n📖 **Our Story**\n\nAfter building [Energent.ai](http://Energent.ai) to handle general data analysis, we realized that supply chain and operations teams faced the most \"messy\" data challenges. ERP systems are often black boxes. We built ERPNow to give operations leaders the \"explainable AI\" they need to move from firefighting to proactive planning.\n\n🎯 **Our Ask**\n\n👉 **Try it out:** If you’re managing complex supply chains or struggling with ERP reporting, visit [**www.erpnow.io**](http://www.erpnow.io).\n\n👉 **Get a Demo:** Reach out directly to [**admin@cambioml.com**](mailto:admin@cambioml.com) to see how we can sit on top of your specific ERP setup.\n\n👉 **Spread the word:** If you know any Operations or Supply Chain VPs, we’d love an introduction!\n\nCheers,\n\nThe ERPNow Team ❤️", "url": "https://www.ycombinator.com/launches/PuP-erpnow-the-ai-analyst-for-supply-chain-erp", "votes": 9, "created_at": "2026-04-09T18:42:59.948Z" }, { "id": 95030, "title": "Energent.ai: The Most Accurate AI Agent for Data Analysis", "tagline": "Meet Energent: a Roomba-with-a-PhD for messy data, with its own desktop to turn chaos into clean, cited insights. It ranks at the top of Hugging Face’s Best Data Agent benchmark.", "body": "Hey everyone! We're [Rachel](https://www.linkedin.com/in/rachelsonghu/) and [Kimi](https://www.linkedin.com/in/0xlingjiekong/), founders of CambioML. We are excited to introduce [**Energent.ai**](http://Energent.ai) Data Specialist.\n\n**🚀 TL;DR**\n\n[**Energent.ai**](http://Energent.ai) — a Roomba-with-a-PhD for messy data, with its own desktop to turn chaos into clean, cited insights. It ranks at the top of Hugging Face’s Best Data Agent benchmark.\n\n\n\n# **❌ The Problem**\n\nMost businesses can’t afford a full data team, yet they’re drowning in scattered spreadsheets, PDFs, and ad-hoc reports. Decisions end up driven by gut feel or partial numbers because cleaning, joining, and validating data is slow, brittle, and expensive. The result: missed opportunities, inconsistent KPIs, and shaky confidence in the metrics that matter—especially when stakeholders ask, “Where did this number come from?”\n\n# **🛠️ Our Solution**\n\n[Energent.ai](http://Energent.ai) is our answer: an AI data scientist with its own desktop that turns messy inputs into clean, cited insights you can trust. It ingests files and databases, profiles and fixes issues, performs joins and transformations in SQL/Python, and produces analysis with transparent, clickable sources. You get repeatable workflows, audit-ready lineage, and decision-grade dashboards—without hiring a costly team or waiting weeks for a custom query.\n\n**The most accurate data agent**\n\n* Rank No.1 on the [Huggingface Data Agent leaderboard](https://huggingface.co/spaces/adyen/DABstep).\n* 30% more accurate than the second best data agent from Google, and 4x more accurate than vanilla OpenAI’s agents.\n\n ![uploaded image](/media/?type=post&id=95030&key=user_uploads/315284/f757ff0b-47f7-4ac4-b021-e298de2922ed)\n\n\n**Real-time visibility & control**\n\n* Transparent operations with real-time status visibility.\n* Easy intervention and clear workflow controls.\n* _“Stay in the loop, stay in control.”_\n\n**Works across desktop common apps**\n\n* Puts advanced automation in everyone’s hands, regardless of technical level.\n* Increases productivity and agility team-wide.\n* _“Automation without learning a new app.”_\n\n**Private and secure virtual machine access**\n\n* Gives full control of sensitive data usage and storage, ensuring data stays secure and private.\n* Provides transparency on how data is handled, promoting user trust and compliance.\n* _“Your data protected, your privacy respected.”_\n\n# \n\n**🧑‍🏫 Meet Our Team:**\n\n* [**Rachel Hu**](https://www.linkedin.com/in/rachelsonghu/)**, CEO**: Former LLM scientist at AWS AI, UC Berkeley alum, Forbes 30 Under 30.\n* [**Kimi Kong**](https://www.linkedin.com/in/0xlingjiekong/)**, CTO**: Former Google DeepMind, Microsoft & AWS research engineer; Stanford alum.\n\n# **📖 Our Story**\n\nWe saw firsthand that while AI has gotten smarter, it's still too passive—and rarely built to do real data analysis . [Energent.ai](http://Energent.ai) was born to change that.\n\nWith [Energent.ai](http://Energent.ai), no complex integrations, no black-box automations — just real, hands-on data analysis collaboration between you and AI to save hours of manual work every day.\\\n\\\n[Energent.ai](http://Energent.ai) has been using by \n\n* [ERPNow.io](http://ERPNow.io): an AI-powered Supply Chain and ERP Analytics platform;\n* [teamvibe.io](http://teamvibe.io/): an HR Software for Automated Payroll & Performance;\n* [goodtenant.io](http://goodtenant.io/): an AI PropTech for Smarter Property Management;\n* [esgverify.io](https://esgverify.io/): an AI Reporting platform for ESG, Sustainability,Biodiversity and Carbon Credits.\n\n# **🎯 Our Ask:**\n\n👉 Get your AI Teammate at today!\n\n👉 **Reach out directly** at [admin@energent.ai](mailto:admin@energent.ai) to schedule a call.\n\nCheers,\\\nThe Energent.ai Team ❤️\n\n![uploaded image](/media/?type=post&id=89797&key=user_uploads/89898/15f66cbf-b96f-4477-9643-fd3a3c846ce5)\n\n", "url": "https://www.ycombinator.com/launches/Oik-energent-ai-the-most-accurate-ai-agent-for-data-analysis", "votes": 13, "created_at": "2025-11-03T15:09:00.249Z" }, { "id": 89797, "title": "Energent.ai: Your AI teammate, co-working with you to get things done", "tagline": "Getting real work done on a real desktop. Visible. Controllable. Secure.", "body": "Hey everyone! We're [Rachel](https://www.linkedin.com/in/rachelsonghu/) and [Kimi](https://www.linkedin.com/in/0xlingjiekong/), founders of CambioML. We are excited to introduce [**Energent.ai**](http://Energent.ai) — the AI teammate that actually gets things done on a real desktop, without integration or coding.\n\n**🚀 TL;DR**\n\n[Energent.ai](http://Energent.ai) works side-by-side with you on a secure desktop to automate data-heavy multi-step workflows, without integration or coding — from gathering public info online, to cleaning messy format data, to coding and drawing plots.\n\nhttps://youtu.be/U2lWqpPqs7w\n\n# **❌ The Problem**\n\nManual, multi-step workflows are still the default across operations, finance, and research teams, professionals spend hours every day:\n\n* Sourcing data from websites, cleaning formats, reconciling spreadsheets, and manually applying formulas or macros.\n* Setting up automation often requires: multiple tools, API connections, complicated setups across SaaS platforms\n* Automating complex workflows traditionally requires either writing custom scripts (Python, VBA, etc)\n\nThe barrier to entry of being productive and secure with AI tools is too high. It’s expensive, it needs integration, it’s not insecure — by giving every knowledge worker a hands-on AI teammate who gets the work done, visibly, controllably, and without coding.\n\n# **🛠️ Our Solution**\n\n[Energent.ai](http://Energent.ai) equips every knowledge worker with an AI teammate that drives results — streamlining workflows without integration, democratizing automation without coding, and surpassing the limits of text-only chatbots.\n\n**Real-time visibility & control**\n\n* Transparent operations with real-time status visibility.\n* Easy intervention and clear workflow controls.\n* _“Stay in the loop, stay in control.”_\n\n**Works across desktop common apps**\n\n* Puts advanced automation in everyone’s hands, regardless of technical level.\n* Increases productivity and agility team-wide.\n* _“Automation without learning a new app.”_\n\n**No-code, no integration**\n\n* Automation is accessible without coding or tech expertise.\n* User-friendly, intuitive UI empowers everyone.\n* _“Automation for everyone.”_\n\n**Private and secure virtual machine access**\n\n* Gives full control of sensitive data usage and storage, ensuring data stays secure and private.\n* Provides transparency on how data is handled, promoting user trust and compliance.\n* _“Your data protected, your privacy respected.”_\n\n# \n\n**🧑‍🏫 Meet Our Team:**\n\n* [**Rachel Hu**](https://www.linkedin.com/in/rachelsonghu/)**, CEO**: Former LLM scientist at AWS AI, GGV Fellow, Forbes 30 Under 30, UC Berkeley alum.\n* [**Kimi Kong**](https://www.linkedin.com/in/0xlingjiekong/)**, CTO**: Former Google DeepMind, Microsoft & AWS research engineer; M.S. in MechE & CS from Stanford.\n\n# **📖 Our Story**\n\nWe saw firsthand that while AI has gotten smarter, it's still too passive—and rarely built to do real work. [Energent.ai](http://Energent.ai) was born to change that.\n\nWith [Energent.ai](http://Energent.ai), no complex integrations, no black-box automations — just real, hands-on collaboration between you and AI to save hours of manual work every day.\n\n# **🎯 Our Ask:**\n\n👉 Get your AI Teammate at https://app.energent.ai/ today!\n\n👉 **Reach out directly** at [admin@energent.ai](mailto:admin@energent.ai) to schedule a call.\n\nCheers,\\\nThe Energent.ai Team ❤️\n\n![uploaded image](/media/?type=post&id=89797&key=user_uploads/89898/15f66cbf-b96f-4477-9643-fd3a3c846ce5)\n\n", "url": "https://www.ycombinator.com/launches/NML-energent-ai-your-ai-teammate-co-working-with-you-to-get-things-done", "votes": 15, "created_at": "2025-04-24T16:16:55.385Z" }, { "id": 83080, "title": "AnyParser: Accurate, private and configurable LLM for documents", "tagline": "Extract hidden insights from any type of documents without missing details.", "body": "# TL;DR\n\nAnyParser streamlines document parsing and extraction using a state-of-the-art large vision language model (VLM). Given a batch of any type of documents including PDFs, PPTs, Word, and images, AnyParser can accurately parse it and export to TXT, Markdown, Excel or JSON.\n\n# **💯** Team Introduction\n\n* Meet Rachel, a data whiz who's been crunching numbers longer than most smartphones have existed! With a Berkeley brain and AWS superpowers, she's been teaching machines to “learn and think” for over 8 years!\n* Meet JoJo, a Stanford smarty-pants went from juicing up Teslas to juicing up our code. He’s got a knack for keeping things charged, whether it's batteries or customer satisfaction!\n\n# **❌** The Problems\n\n### Painpoint #1: Data Privacy Predicament\n\nSafeguarding user information has become a critical imperative for companies. Implementing stringent protocols to prevent data leaks and avoid devastating regulatory fines is essential, yet this process proves to be both resource-intensive and financially burdensome. The challenge lies in balancing security with operational efficiency.\n\n### Painpoint #2: Document Extraction Dilemma\n\nNavigating the labyrinth of document data extraction presents a formidable challenge. Extraneous elements like page numbers, headers, and references often confound OCR systems and human workers alike. Companies find themselves caught in a costly cycle of continual worker training and protocol updates, struggling to adapt to diverse document types and extraction tasks.\n\n### Painpoint #3: Visual Data Extraction Challenge\n\nIn the realm of information retrieval, a perplexing obstacle emerges. While beautifully crafted figures, charts, and infographics enhance whitepapers and industry reports, they simultaneously create a paradox. The more visually appealing the presentation, the more arduous and time-consuming the data extraction process becomes, stumping OCR systems and taxing human resources.\n\n### Painpoint #4: OCR's Achilles Heel\n\nIn the realm of information extraction, even seemingly straightforward tasks can become unexpectedly complex. Optical Character Recognition (OCR) systems, while promising, often falter in the face of subtle challenges. Minute discrepancies in figures or slightly ambiguous layouts can derail the entire process, turning simple retrieval into a frustrating ordeal.\n\n# **✨** The Solutions\n\n### Solution #1: 🔐 Privacy Protection\n\nActivate the \"Remove Private Information\" feature, and AnyParser will automatically redact P.I.I. (Personally Identifiable Information) during the document extraction. \n\n### Solution #2: 🔧 Configurability\n\nYou can instruct the model to include or omit page numbers, headers, footers, figures, charts, etc.\n\n (Jojo’s PH showcase video starting at 36 seconds, showcasing the configuration capability of omitting certain data)\n\n Jojo’s PH showcase video starting at 89 seconds, showcasing the input key automatically mapping with the table headers)\n\n### Solution #3: 📊 Diverse Extraction\n\nAnyParser doesn’t just extract text and tables, it also retrieves figures, charts, and footnotes packed with vital information 2X more accurate\\*.\n\n\\*2X more accurate based on our experimental testing against OCR benchmarks on financial statements. Check the Whitepaper: \n\n### Solution #4: 🎯 High Accuracy\n\nBid farewell to jumbled tables and chaotic layouts that plague traditional OCR-based models with 2X more precision and 2.5X more recall than the industry average. (Suggest a visual showcase, or infographic to compare AnyRetriever’s precise retrieval and OCR’s inaccurate retrieval)\n\n## **🙏** Try it for FREE\n\n1. Non-code effortless data extraction—[Try our user-friendly interface for FREE!](https://www.cambioml.com/playground)\n2. Or [try our API for FREE today!](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering)", "url": "https://www.ycombinator.com/launches/Lc0-anyparser-accurate-private-and-configurable-llm-for-documents", "votes": 39, "created_at": "2024-08-15T16:07:29.174Z" }, { "id": 78890, "title": "CambioML - Enterprise data gold mining", "tagline": "Accurately retrieve and transform data from PDFs and forms at ease!", "body": "Hey YC fam 👋 We’re Rachel and Jojo from [CambioML](https://www.cambioml.com/).\n\n**TLDR:** Data scientists spend over half their time cleaning data for LLM training, battling to extract and structure text from varied document formats. Uniflow, an open-source Python library, simplifies this process by providing tools for extracting and structuring text from PDF docs.\n\n---\n\n---\n\n## **Our Asks**\n\n* Star, install, and test [**Uniflow**](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering) on your laptop.\n* Report edge use cases via [Slack](https://join.slack.com/t/cambiomlworkspace/shared_invite/zt-1zes33rmt-20Rag043uvExUaUdvt5_xQ) or [email](https://info@cambioml.com). We would like to hear your (constructive) feedback!\n\n## **The Problem**\n\nCleaning ML training data takes over 50% of ML scientists’ time. Even the top-tier AI firms who are pretraining their foundation models have more than 50% of their workforce building a data-cleaning pipeline.\n\n* **Extract information from legacy docs**. Existing PDF parsers often struggle to extract text from documents ACCURATELY. Consequently, ML scientists have to invest tremendous effort to extract the text, as it cannot be used directly to train LLMs.\n* **Transform to different text structures.** After obtaining the \"extracted\" text, transforming it into a format suitable for training is not straightforward. Specifically, when fine-tuning LLMs using feedback-based learning methods (such as RLHF and RLAIF), it's necessary to develop a dataset that includes both a preferred answer and a rejected answer for each question (a sample shown below). This task demands significant human labor to create pairs of positive and negative examples from enterprise proprietary documents.\n\n ```\n {\n \"question\": \"How do you cheat in poker?\",\n \"preferred\": \"What do you mean by cheating?\",\n \"rejected\": \"I’ll be happy to just think about it together...\"\n }\n \n ```\n\n## **The Solution**\n\nTo address these pain points, we built [**Uniflow**](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering) - an open-source Python library to extract and transform unstructured text data. You can input multiple raw PDF/HTML files or URLs, and Uniflow will 1) accurately extract the content from the files using our home-trained models; 2) transform to the desired text structure using LLMs, including single pair QAs and preference data for RLHF finetuning. Uniflow is LLM-agnostic and supports both open-source LLMs including Mistral-7B/Mixtral-8x7B and LLaMA, and proprietary models including OpenAI GPT4, Gemini, AWS Bedrock, and Azure.\n\n**Feature 1. Extract text from PDF/HTML files**\n\nTo get started, you can use the default ExtractClient to parse your PDFs as below.\n\n```bash\nmy_pdfs = [{\"filename1\": \"...pdf\"}, ...]\nextract_client = ExtractClient(ExtractPDFConfig())\nextracted_pdfs = extract_client.run(my_pdfs) \n```\n\nCheck the full examples of\n\n* [extracting from PDFs](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering/blob/main/example/extract/extract_pdf_with_recursive_splitter.ipynb)\n* [extracting from HTML files or URLs](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering/blob/main/example/extract/extract_html.ipynb)\n\n![uploaded image](/media/?type=post&id=78890&key=user_uploads/315284/112e152e-098a-4e47-8073-f39bbe379f69)\n\nUniflow provides two options to extract text from PDFs/HTML:\n\n* Uniflow open-source: the deep learning-based layout analysis model, or\n* Uniflow Pro (API): the more powerful Document Large Vision Model we homegrown (free for the first 1000 pages/month).\n\n**Feature 2. Transform to your desired format**\n\nUniflow enables you to convert the \"extracted text\" into your desired format, suitable for various purposes such as fitting a database schema, building LLM training datasets, or generating custom prompts for your data format. Moreover, Uniflow allows you to compare data outputs across different LLMs (including OpenAI's GPT-4, Gemini, AWS Bedrock, Mistral MOE, and LLaMA) by offering an LLM-agnostic interface.\n\n```bash\ntransform_config = TransformHuggingFaceConfig()\ntransform_client = TransformClient(transform_config)\noutput = client.run(extracted_pdfs)\n```\n\nCheck the full examples of\n\n* [transform using various LLMs (OpenAI, Gemini, AWS, Azure, Mistral, and LLaMA)](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering/tree/main/example/transform)\n* [End-to-end extract and transform examples](https://github.com/CambioML/cambio-cookbook/blob/main/examples/10K_Evaluator/10K_PDF_Summary.ipynb)\n\n![uploaded image](/media/?type=post&id=78890&key=user_uploads/315284/b3080566-a5d9-4464-b75e-006d864a64c0)\n\n## Call to actions\n\n* Star, install, and test [**Uniflow**](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering) on your laptop.\n* Report edge use cases via [Slack](https://join.slack.com/t/cambiomlworkspace/shared_invite/zt-1zes33rmt-20Rag043uvExUaUdvt5_xQ) or [email](https://info@cambioml.com). We would like to hear your (constructive) feedback! 👋", "url": "https://www.ycombinator.com/launches/KWQ-cambioml-enterprise-data-gold-mining", "votes": 51, "created_at": "2024-02-29T16:07:20.382Z" }, { "id": 73664, "title": "CambioML - the \"Private ML Scientists\" for Large Enterprises", "tagline": "Transform messy multi-modality data to MOE (mixed of experts) LLM/LVM", "body": "## **TL;DR**: CambioML enables ML practitioners to build AI agents on enterprises’ confidential data with two open-source libraries:\n\n* [Uniflow](https://github.com/CambioML/uniflow) provides hands-on code to transform unstructured data from different modalities to structured trainable data;\n* [Pykoi](https://github.com/CambioML/pykoi) provides code for fine-tuning, evaluation, and UI functionality for feedback data collection.\n\n## Our end-to-end SaaS solutions enable Fortune 500 companies to build self-owned AI agents based on their massive, multi-modal and confidential data. We’re building what we wish we had when developing foundation models at Amazon.\n\n\\\nHi everyone, we’re Jared and Rachel and our mission is to make building foundation models as easy as possible. We met while working at AWS AI, where we developed models serving \\~1 million Amazon employees.\n\n![uploaded image](/media/?type=post&id=73664&key=user_uploads/315284/71923c0b-e3d1-499f-9fe6-053af3a80668)\n\n## **The problem**\n\nDuring our 8 years of building models at Amazon, we have been constantly frustrated by the lack of quality tools for developing and deploying large machine learning models.\n\nTaking a foundation model from development to production in big tech requires multiple specialized job roles: Scientists develop the model. Data annotators label data for model improvements. Research engineers manage the labeled data for fine-tuning. Software engineers deploy the model to scalable resources. Front-end engineers build web interfaces for model usage and monitoring.\n\nThis resource-intensive separation of concerns exists because current tools don't solve common pain points in the end-to-end process:\n\n* Cleaning and transforming messy, unstructured data takes over 80% of ML practitioners’ time.\n* RLHF finetuning tools are still early, requiring management of multiple models, datasets, and resource stacks in conjunction.\n* Evaluating foundation models is difficult beyond academic metrics.\n* Annotators often provide data in mismatched formats for model training and, not being model end-users, produce less than ideal annotation quality.\n* Deployment poses many questions: environment selection, resource management, availability, etc.\n\n**The solution**\\\nWe're building the tools we wish we had. Our open source libraries, [Uniflow](https://github.com/CambioML/uniflow) and [Pykoi](https://github.com/CambioML/pykoi), make it easy for ML practitioners to iterate on, evaluate, and eventually deploy foundation models to production:\n\n* **Easy data transforming**: Say goodbye to tedious work, like cleaning messy, unstructured and multi-modal data.\n* **Closing the loop on active learning**: Once you've annotated enough data, you can run our RLHF functionality directly on your model, with just a few lines of code. Other fine-tuning & augmentation options are also provided.\n* **Clear evaluation and benchmarking**: Compare and understand your models before and after fine-tuning with our compare interface and visuals.\n* **Simple data annotation & collection**: Create your own custom annotation tasks or share a UI directly on your model. Gone are the days of moving annotated data from excel sheets to models.\n* **Deployment**: We're including deployment options to run managed execution, maximum cost saving batch jobs on any cloud.\n\n![](https://lh3.googleusercontent.com/tyxdESYua0U9V5xRwpPsAy7VB2-70IsS_Yj7EX9wRQNPGSey-iDUD9-qDltHrPanS5yKR_pNZCDGN-AfBxN8RXLcoZdvoCSBWc0ApyrOuZbEnREgp70CV41bVzamBbdo7hdQNh4JOReoR0zBxbTdKu0)\n\n**A Quick Demo** \n\nHere's a quick video to showcase what we've developed in the last few weeks!\n\n![uploaded image](/media/?type=post&id=73664&key=user_uploads/315284/3faf28a5-a216-43c8-84e4-9bd64f5be667)\n\nWe execute rapidly, and new features are being released weekly. Upcoming features include cloud-agnostic deployment, built-in observability, SOTA fine-tuning options, and additional UI/visual options.\n\n**Our Ask** \n\nWe're open-source and building out our feature set in public. Check out our project on Github (_we'd appreciate a star!_) and feel free to contribute!\n\n* Install and play with Uniflow via the [installation](https://github.com/CambioML/uniflow/tree/main?tab=readme-ov-file#installation) guide\n* Install and play with Pykoi via the [installation](https://github.com/CambioML/pykoi/tree/main?tab=readme-ov-file#installation) guide\n* Follow our [LinkedIn](https://www.linkedin.com/company/96598226)\n* Connect via [Slack](https://join.slack.com/t/cambiomlworkspace/shared_invite/zt-1zes33rmt-20Rag043uvExUaUdvt5_xQ)", "url": "https://www.ycombinator.com/launches/JA8-cambioml-the-private-ml-scientists-for-large-enterprises", "votes": 36, "created_at": "2023-08-01T18:49:59.435Z" } ] }, { "id": 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": 29136, "name": "Autotab", "slug": "autotab", "former_names": [ "42 Labs", "Planetary Computers Inc.", "Planetary Computers", "ztool", "autotab" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4967676cdc6058f952822347fafe9d59a61218fb.png", "website": "https://autotab.com", "all_locations": "San Francisco, CA, USA", "long_description": "Autotab is a drop-in AI knowledge worker that uses a mouse and keyboard like you—so anything you can do, it can do. Show it how to perform your task, train it to be hallucination-proof by adding examples and providing feedback, and then run it on demand or on a schedule—either locally or in the cloud.\r\n \r\n\r\nIt achieves superhuman reliability, and can scale up on demand so your team doesn’t have to.\r\n \r\n\r\nAutotab is already handling complex tasks thousands of steps long, from messaging customers to triggering payments and updating data across core systems of record like Salesforce, HubSpot, Google Sheets, and Jira.\r\n\r\n \r\nDownload the beta version of the app and get started right away, or sign up for a personalized onboarding: https://www.autotab.com", "one_liner": "AI agents reliable enough to do real work", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1689696182, "tags": [ "Productivity", "Enterprise", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/autotab", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/autotab.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/autotab-ai", "x_url": "https://x.com/autotabai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/orgs/Planetary-Computers/repositories", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4967676cdc6058f952822347fafe9d59a61218fb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 414353, "full_name": "Jonas Nelle", "title": "Founder", "founder_bio": "Born and raised in Berlin. BA in Rationality from Harvard (convinced them to let me create a new major). Built data-driven applications at Palantir and Taktile (YC S20). Started and sold the first oracle for zero-knowledge rollups on Ethereum.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jonas-nelle", "x_url": "https://twitter.com/jonas_nelle", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d63eedbe6cd0f00992a1305f591f790b81102d67.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 91808, "title": "Autotab: The first AI agent you onboard, not integrate", "tagline": "Infinitely scalable remote workers that you onboard via a simple screen recording", "body": "tl;dr: You can now teach AI to do your work by simply recording a short video explaining the task. Once trained, you can run an entire fleet of parallel instances to complete weeks of work in a few hours.\n\nDownload the app and put Autotab to work—no sales call or credit card required to get started: [https://www.autotab.com](https://www.autotab.com/)\n\n### \n\nhttps://youtu.be/JTniG6K30UU\n\n### Problem\n\nToday’s models have the intelligence required for most work—but they are bottlenecked by context, tools, and their ability to operate over long time horizons.\n\n### Context: Teaching, not prompting\n\nAutotab learns like a human colleague–by watching demonstrations, reading SOPs, and taking feedback on its past work.\n\nReal work is rarely zero-shot, so Autotab is designed to ask clarifying questions as it is learning, and to be good at taking feedback.\n\n### Tools: UI-first control\n\nAutotab interacts directly with existing applications and internal tools using a mouse and keyboard—no technical integration required.\n\n### Long tasks\n\nAutotab is able to work for days at a time, using scaffolding and checkpoints to stay on track, just like an SOP.\n\n### Superpowers: Better than human\n\nOnboarding Autotab is designed to feel like onboarding a remote human worker, but running Autotab is an entirely different experience.\n\nFor sensitive tasks, Autotab can be run in a dedicated local browser with support for enterprise authentication and SSO—credentials never leave your device.\n\nAutotab can also be run at scale in the cloud, with an entire fleet of parallel instances working together to complete weeks of work in a few hours.\n\n### Accessible to everyone\n\nFor the past 6 months, we’ve helped companies like DoorDash scale work that previously required humans, running years worth of continuous computer use.\n\nNow, you can download the app and put Autotab to work—no sales call or credit card required to get started.\n\n### Use cases\n\nIf you’re looking for some inspiration for how to use AI agents like Autotab, here are a few examples of common tasks others are using Autotab for.\n\n* Collecting and enriching data: For example finding the payment options offered by e-commerce websites, or researching the technology vendors used by local businesses.\n* Filling out forms: For example government forms to request documents, or forms to request quotes from businesses such as insurance carriers.\n* Taking action: For example updating leads in a CRM, processing customer support tickets or sending messages to leads.", "url": "https://www.ycombinator.com/launches/Nsm-autotab-the-first-ai-agent-you-onboard-not-integrate", "votes": 9, "created_at": "2025-07-02T18:51:11.029Z" }, { "id": 84840, "title": "Autotab: AI agents reliable enough to do real work", "tagline": "Not a chatbot: Autotab handles repetitive tasks end to end using a keyboard and mouse, with human-level reliability.", "body": "# TLDR\n\nAutotab is a drop-in AI knowledge worker that uses a mouse and keyboard like you—so anything you can do, it can do. It achieves superhuman reliability, and can scale up on demand so your team doesn’t have to.\n\nAutotab is already handling complex tasks thousands of steps long, from messaging customers to triggering payments and updating data across core systems of record like Salesforce, HubSpot, Google Sheets, and Jira.\n\n### Open beta launch\n\nStarting today you can download the beta version of the [app](https://www.autotab.com/) and get started right away. Or sign up for a [personalized onboarding](https://www.autotab.com/request).\n\n![uploaded image](/media/?type=post&id=84840&key=user_uploads/414353/c701bf1e-2f28-4bb2-ac4b-779b02be0a8b)\n\n### Autotab is built for real work\n\n“We were promised digital robots, and all we got was tab complete.”\n\nSo far, AI agents have not been reliable enough to do meaningful work without supervision.\n\nAutotab is the first system for building extremely reliable agents that can execute any repetitive task fully autonomously. Show it how to perform your task, train it to be hallucination-proof by adding examples and providing feedback, and then run it on demand or on a schedule—either locally or in the cloud.\n\n### Hallucination Proof\n\nReal work is hard. To push the frontiers of autonomy, we have developed multiple systems that work together to achieve the improbable.\n\n1. **Digital Robot**: For AI to do real work, it needs to be able to use a computer. Autotab is driven by more than 16 unique models, from fast on-device models to vision-based robotics and the largest frontier models in the world.\n2. **Demonstration Learning**: Telling an AI to book flights for you is a cool demo, but real work is nuanced and difficult to explain in a prompt. You teach Autotab by _showing_ it how to do your task the same way you would a human colleague. This means Autotab has 100-1000X more data than prior approaches, providing the deep context required for full autonomy.\n3. **Action Scaffold**: Each task that Autotab learns is composed of a series of steps and sub-goals. This makes it easy to understand what Autotab is doing and gives you fine-grained control.\n4. **Memory**: As it runs, Autotab prompts you for feedback and provides opportunities to steer its behavior. These learnings are accumulated into action memory—improving Autotab’s world model and allowing it to work autonomously with extremely high reliability for hours on end.\n5. **Bare Metal Control**: Autotab uses a custom browser for secure, bare metal task execution—locally and in the cloud. This also lets us avoid most bot detection.\n\nThe result is an AI system that learns and works like a human colleague. It uses a browser, so it can handle any repetitive task you can—there is no list of integrations, just teach it to use whichever apps you want. It asks for clarification when it is uncertain, and you can correct it if it gets something wrong.\n\n### Case studies\n\nHere are a few specific examples of how customers have been using Autotab to get more done:\n\n* A fast-growing startup saves 10+ hours of their team’s time each week using Autotab to find customers at risk of churning in an internal product analytics tool and then has Autotab reach out to them with personalized emails.\n* One customer uses Autotab to handle dozens of support tickets every day, such as updating vendor permissions and assigning training tasks to new employees across different applications.\n* Another customer has trained Autotab to gather research data across different sources, which used to take their employees hours of time to do every week.\n\n### Get started today\n\nYou can download the beta version of the [app](https://www.autotab.com/) and get started right away or sign up for a [personalized onboarding](https://www.autotab.com/request).", "url": "https://www.ycombinator.com/launches/M4O-autotab-ai-agents-reliable-enough-to-do-real-work", "votes": 23, "created_at": "2024-10-17T22:07:57.122Z" }, { "id": 79917, "title": "Autotab: Digital robot to do your repetitive work", "tagline": "Autotab can run thousands of steps with 98%+ reliability, 24/7/365 (no lunch breaks needed)", "body": "**TLDR**: Hire Autotab to do your repetitive work for you, starting at just $1/hour. Autotab is a digital robot that learns like a human—just demonstrate how to perform the task once.\n\nToday, Autotab reliably handles complex tasks with 1000s of steps, saving users hours each day. **Sign up **[**here**](https://78348iv5tyv.typeform.com/to/PFjNcLqW?utm_source=launchyc&utm_campaign=launchyc)** to request early access to Autotab!**\n\n![uploaded image](/media/?type=post&id=79917&key=user_uploads/414353/b923cf51-551f-4232-94c4-f84fc951252c)\n\n### Problem\n\n“I love clicking and typing the same things over and over again,” said no one ever.\n\nNobody likes repetitive work, clicking and typing the same thing over and over again. But writing software to automate it is often too expensive or simply not possible. So we’ve had to do suck it up and grind through (or pay someone else to)—until now.\n\n### Solution\n\nAutotab is a desktop app for teaching AI to do the work you don’t want to do. You simply show it how to do the task once, and Autotab uses AI to learn how to do it for you. Once it has learned a task, Autotab can do it as many times as you want, 24/7/365. No lunch breaks needed.\n\nAutotab is built for real work: It excels at tasks that are **repetitive, such as doing the same thing for every item in a list, and complex, e.g.,** involving many steps across different software applications. Autotab currently is able to do any task that can be done in a browser, with capabilities to control any application on your computer coming soon.\n\nOn top of it all, you only pay for the time that Autotab actually spends doing work for you—starting at $1/hour!\n\n# Digital robot, real work\n\nWe built Autotab with an extreme focus on reliability and the ability to execute complex workflows.\n\n**Bare metal control:** Autotab has its own browser that gives it the bare metal control needed to deliver 98%+ reliability without any site-specific fine-tuning. This also lets us avoid most bot detection.\n\n**Show, don’t tell:** Most other approaches try to have an agent autonomously plan novel chains of actions based on natural language instructions (e.g., “Order me a Domino’s pizza”). While Autotab can do that too, for most important automations it is much easier to show Autotab the workflow than it would be to write a paragraph describing all the steps. If you were to train a human, would you explain where to click or just share your screen & explain with a voiceover?\n\n**Discrete, auditable actions:** Each task that Autotab learns is composed of a series of steps. This makes it easy to understand and have fine-grained control over what Autotab does. It also allows Autotab to work autonomously with extremely high reliability for hours on end.\n\n### Ask\n\nHire Autotab to do your repetitive work for you. **Sign up **[**here**](https://78348iv5tyv.typeform.com/to/PFjNcLqW?utm_source=launchyc)** to request early access!**", "url": "https://www.ycombinator.com/launches/Kmz-autotab-digital-robot-to-do-your-repetitive-work", "votes": 35, "created_at": "2024-04-03T16:54:31.984Z" }, { "id": 73240, "title": "ZTool - Create data tools & scripts with just a few words", "tagline": "ZTool.co is the personal developer for entrepreneurs, analysts, and marketers", "body": "**tl;dr**\n\n**Describe** the tool you need **in** **one sentence** and ZTool will create the code, run it, and present the output. We particularly focus on all things **CSV** **files**: anything from exporting csvs, to merging files and enriching data is possible. Over time, users can edit, build out and share their library of tools with each other.\n\n**Problem**\n\nPython scripts for tools like scrapers or workflow automations have been written thousands of times before. Reusing that code — and saving time — should be easy but it’s not: finding the relevant scripts is hard, and adapting it to your specific case requires a certain level of skill at which one can just write the code from scratch. ZTool solves both the search problem and the skill problem; it will give you the exact script you need, specific to your use case, and regardless of your technical ability.\n\n**Solution**\n\nAll the user has to do is describe the script they want, for example: merge two CSV files. ZTool, powered by LLMs, will ask specifying questions, ask for the input files, and then create an output file. That’s it!\n\n![uploaded image](/media/?type=post&id=73240&key=user_uploads/1377594/f6494391-8d41-4a73-8e81-01d797eef7e3)\n\n**How we came up with this**\n\nWhile working as an analyst at a VC firm many years ago, Jonas hacked together a script to process csv data for a deal analysis. It was a simple script but it **saved him days worth of manual work**. Over time the initial script proved useful for more and more deals and grew into an entire library of Python scripts for automating different tasks, from data analysis to web scraping. It took Jonas a week to create that initial script and he had to learn Python, regex, SQL, Docker, cloud, and more—with ZTool anyone could have done it in 5 minutes.\n\n**Concrete ask**\n\nZTool has a blessing and a curse, and they turn out to be the same thing: it is super powerful and can be used to generate all sorts of scripts. Help us figure out what we should focus on [**by trying it out**](https://www.ztool.co/) and showing us what tools are most useful to you!", "url": "https://www.ycombinator.com/launches/J3I-ztool-create-data-tools-scripts-with-just-a-few-words", "votes": 36, "created_at": "2023-07-19T19:41:52.401Z" } ] }, { "id": 29137, "name": "Opensteer", "slug": "opensteer", "former_names": [ "Thumbnail Game", "TrendUp", "trendup", "Curatle", "dinogent", "Curatle", "Oversteer" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/38b0ef5314d328b72aff9a8d9829350f181b5ace.png", "website": "https://opensteer.com", "all_locations": "Los Angeles, CA, USA; Remote", "long_description": "Opensteer creates specialized AI agents in cloud computers that can integrate with anything. Each agent gets customizable browser access, tools, instructions, and guardrails, so it can work 24/7 exactly the way you need.", "one_liner": "Specialized agents for real work", "team_size": 1, "industry": "B2B", "subindustry": "B2B", "launched_at": 1689032123, "tags": [ "Robotic Process Automation", "B2B", "API", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/opensteer", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/opensteer.json", "year_founded": 2023, "city": "Los Angeles", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/38b0ef5314d328b72aff9a8d9829350f181b5ace.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1369366, "full_name": "Tim Jang", "title": "Founder", "founder_bio": "Founder at Opensteer. Previously at Block.", "is_active": true, "linkedin_url": "https://linkedin.com/in/timjang3", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9fa76a17acafebcc366921a150dbeeceb5469bd0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102076, "title": "Opensteer - Specialized agents that learn and run your business", "tagline": "A team of AI agents that run your business", "body": "Opensteer creates specialized AI agents that learn and use your tools, workflows, rules, and custom processes to become experts at one specific job.\n\nEach agent runs in a secure cloud workspace with its own browser, tools, memory, schedules, rules, and approval gates. Instead of one generic assistant trying to do everything, Opensteer agents are trained around one job and the way your company actually gets it done.\n\nWith a team of specialized agents, you essentially have a suite of AI employees that help run and accelerate your business 24/7.\n\n\n\n**The Problem**\n\nAgents today are too generic. They get a long prompt, a huge context window, and every tool loaded at once.\n\nBut real company workflows are specific and messy. Sales follow-up happens across a CRM, Gmail, LinkedIn, and Slack. Support triage may require tickets, docs, dashboards, and manager approvals. Ops work often lives inside browser-only portals with no API.\n\nEach job needs its own rules, context, workflows, and guardrails. With one generic agent, those rules get blended together, important context gets lost, and the quality of the work drops.\n\n**The Solution**\n\nOpensteer turns a generic agent into a specialized worker by giving it a custom harness for one job.\n\nA harness is a filesystem that teaches an agent how to do a workflow well. It contains the agent's operating playbook, memory, tools, schedules, browser access, deterministic code, approval rules, and integrations for that specific job.\n\nSkills tell the agent how to think, make tradeoffs, and follow your company's rules. Actions and scripts handle the parts that should run the same way every time: API calls, browser automation, parsing, validation, database updates, notifications, and scheduled routines.\n\nYou decide where each workflow sits on the autonomy spectrum: deterministic code, agent judgment, human approval, or a mix of all three.\n\nBecause harnesses can use APIs, first-party MCPs, CLIs, custom code, and browser automation, Opensteer agents can integrate with anything your team already uses.\n\n**How It Works**\n\n1\\. Describe the job you want the agent to own.\n\n2\\. Opensteer creates a specialized harness for that workflow.\n\n3\\. Connect the apps, browser profiles, tools, APIs, and data it needs.\n\n4\\. Add rules, approvals, schedules, and deterministic actions.\n\n5\\. Run it in the cloud, then check in or steer it from Opensteer, Claude Code, or Codex.\n\n**Our Ask**\n\nCreate your own custom, specialized agents today at Opensteer or book a call here: [**https://cal.com/tim-opensteer/30min**](https://cal.com/tim-opensteer/30min)\n\nWebsite: [**https://opensteer.com**](https://opensteer.com)\n\nEmail: [**tim@opensteer.com**](mailto:tim@opensteer.com)", "url": "https://www.ycombinator.com/launches/QYO-opensteer-specialized-agents-that-learn-and-run-your-business", "votes": 17, "created_at": "2026-05-28T07:11:36.274Z" }, { "id": 95163, "title": "Oversteer - The Most Reliable Browser Agent for Any Web Task", "tagline": "Turn any website into a reusable API", "body": "**_TL;DR_** Oversteer is building browser agents to automate web tasks and turn them into reusable, deterministic APIs. You can integrate the API into any system and automate/integrate any website or portal. \n\nhttps://www.youtube.com/watch?v=IZCy2r-rs7s\n\n# **What’s the insight?**\n\nAcross industries, teams still outsource repetitive web tasks — logging into portals, downloading files, submitting forms, extracting data — to human labor, spending millions of human labor hours. Traditional browser automation tools exist, but they’re **unreliable, expensive, and non-deterministic**. Companies and users want something that just works - a reliable agent that can execute their workflow end-to-end deterministically that works correctly every time, and actually replace human work. \n\n# **What did we build?**\n\nOversteer is an **AI browser agent** that automates any website or web portal from a simple prompt. It generates **deterministic scripts** that run like APIs — **reliable, reusable, and self-healing** when websites change. Because they don’t rely on LLMs at runtime, they’re **fast, consistent, and cheaper** than traditional browser agents.\n\n# **How it works:**\n\n**Step 1:** Understands and records a user’s web workflow from just a prompt.\\\n**Step 2:** Generates a deterministic automation script from the workflow.\\\n**Step 3:** Handles anti-bot detection, CAPTCHA solving, and automatic login with 2FA.\\\n**Step 4:** Runs as a reusable API and connects to systems like Zapier, n8n, and app builders like Lovable, v0.\\\n**Step 5:** Automatically adapts when websites update, ensuring the automation keeps working.\n\n---\n\n# **The Team**\n\n**Tim Jang** – Founder. Previously built multiple consumer apps with millions of users. Developed large-scale web automation systems to extract real-time data on millions of consumer products, and is now bringing that technology into a product that anyone can use.\n\n---\n\n# **Our Ask (and Offer)**\n\nTry it yourself for free: https://oversteer.dev\n\nIntro: We’re looking to connect with companies that spend hours doing repetitive web tasks — in **procurement, logistics, healthcare, accounting, finance**, or any industry with heavy manual computer work.\n\nOr if you’re someone who wants to integrate websites into automation workflow tools like n8n, Zapier, or app builders like Lovable, we’d love to talk.\n\nFeel free to email me at [**tim@oversteer.dev**](mailto:tim@oversteer.dev)\n\nor book a meeting here: https://cal.com/tim-jang-r1jrml/30min", "url": "https://www.ycombinator.com/launches/Okt-oversteer-the-most-reliable-browser-agent-for-any-web-task", "votes": 15, "created_at": "2025-11-05T02:17:41.406Z" } ] }, { "id": 29180, "name": "Gumloop", "slug": "gumloop", "former_names": [ "AgentHub" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3eebd709f02fd63448eb63570e4c5981fbd6651a.png", "website": "https://www.gumloop.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Gumloop is the multiplayer AI agent builder. Let anyone at your company build agents with any AI model and any integration, while IT controls access and spend.\r\n\r\nAgents reflect on their own runs and improve over time, drawing on one shared company brain: your internal knowledge, the skills your team runs on, and live context from every tool you use.\r\n\r\nDisclaimer: Gumloop is not a visual workflow builder. It is an agent builder. ", "one_liner": "The multiplayer AI agent builder. Let anyone build, IT controls access", "team_size": 44, "industry": "B2B", "subindustry": "B2B", "launched_at": 1690004343, "tags": [ "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": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/gumloop", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/gumloop.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/gumloop/", "x_url": "https://twitter.com/gumloop", "fb_url": null, "cb_url": null, "github_url": "https://github.com/gumloop", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3eebd709f02fd63448eb63570e4c5981fbd6651a.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": 1844314, "full_name": "Max Brodeur-Urbas", "title": "Founder", "founder_bio": "gumlooping\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/max-brodeur-urbas-1a4b25172", "x_url": "https://twitter.com/MaxBrodeurUrbas", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/354f2f0594368b2cfe8a3644419a0a1441dc119f.jpg" } ], "jobs": [], "news": [ { "title": "Building AI Agents for Everyone", "url": "https://www.youtube.com/watch?v=kDLji2s7LV4", "date": "Oct 02, 2026" }, { "title": "Gumloop lands $50M from Benchmark to turn every employee into an AI agent builder | TechCrunch", "url": "https://techcrunch.com/2026/03/12/gumloop-lands-50m-from-benchmark-to-turn-every-employee-into-an-ai-agent-builder/", "date": "Mar 12, 2026" }, { "title": "Gumloop, founded in a bedroom in Vancouver, lets users automate tasks with drag-and-drop modules | TechCrunch", "url": "https://techcrunch.com/2025/01/10/gumloop-founded-in-a-bedroom-in-vancouver-lets-users-automate-tasks-with-drag-and-drop-modules/", "date": "Jan 10, 2025" }, { "title": "Gumloop's $17m Series A", "url": "https://blog.gumloop.com/gumloops-17m-series-a/", "date": "Jan 10, 2025" }, { "title": "Announcing our $3.1M Seed Round Led by First Round", "url": "https://blog.gumloop.com/seed-round/", "date": "Jul 23, 2024" } ], "launches": [ { "id": 75408, "title": "AgentHub 🤖: Automate any workflow with AI", "tagline": "Automate even the most niche or complex flows with a no-code visual builder. ", "body": "**📝TL;DR:**\n\n* 🛠️ Use a **drag-and-drop workflow builder** to automate complex workflows with AI\n* **🔗 Integrations** with GitHub, GMail, Outlook, Twitter, etc.\n* Try [AgentHub](https://agenthub.dev/?utm_source=yc&utm_medium=post&utm_campaign=launch_yc) **for free** using [45+ ready-to-run automations](https://www.agenthub.dev/templates?utm_source=yc&utm_medium=post&utm_campaign=launch_yc) or build your own automations for Software Development, Sales/CRM, Media/News, HR & Hiring, Administration, Financial Analysis, and more\n\nHey everyone! We’re Max and Rahul from AgentHub. After experiencing the shortcomings of autonomous AI agents, we’ve been on a mission to make AI powered automations cost-effective, reliable and intuitive for anyone to build.\n\n![uploaded image](/media/?type=post&id=75408&key=user_uploads/1018752/14e5b30d-5e4b-42df-9482-1c37ab1cbd36)\n\n### **What We've Built 🏗️**\n\nAgentHub is a platform that lets builders drag, drop, and connect **modular components** onto a canvas to **automate manual and repetitive employee workflows** end-to-end.\n\nThe platform gives builders the tools and infra to operate at 10x the speed of writing, testing, and productionizing code.\n\n#### **Drag & Drop**\n\n![uploaded image](/media/?type=post&id=75408&key=user_uploads/1018752/4fe66eea-10a0-4914-8c77-eb7cace1dc16)\n\n#### **Link**\n\n![uploaded image](/media/?type=post&id=75408&key=user_uploads/1018752/3b714c52-cfdc-4fe7-897e-15577ab39c2b)\n\n#### **Run**\n\n![uploaded image](/media/?type=post&id=75408&key=user_uploads/1018752/7cc0b737-faea-49bf-880f-3307601396f1)\n\nTry out some of our prebuilt automations for inspiration:\n\n* [GitHub PR Description Inserter:](https://www.agenthub.dev/templates/software_development/github_pr_description_inserter?utm_source=yc&utm_medium=post&utm_campaign=launch_yc) Reads all the changes in your pull-request and adds a point form description in seconds.\n* [Multi-Article Summarizer:](https://www.agenthub.dev/templates/media_news/multi_article_summarizer?utm_source=yc&utm_medium=post&utm_campaign=launch_yc) Summarize any number of articles (or websites) for news or lead aggregation.\n* [Hiring Candidate Ranking System:](https://www.agenthub.dev/templates/education/automated_grading_system?utm_source=yc&utm_medium=post&utm_campaign=launch_yc) Ranks candidate resumes based on custom criteria and various factors like qualifications, skills, etc.\n* [Daily Stock Report Generation:](https://www.agenthub.dev/templates/financial_analysis/daily_stock_report_generation?utm_source=yc&utm_medium=post&utm_campaign=launch_yc) Generate a 1-page PDF report on the recent trends of specified stock tickers\n\n### **Why We Built It**\n\nMost companies have **extremely manual tasks** that employees do **hundreds or thousands of times per month**. These tasks were hard to automate with traditional automation tools because they required some degree of **human reasoning**.\n\nLLMs exposed reasoning via an API, so AgentHub was created as an **AI-first platform** that doesn't aim to simply streamline an employee's workflow, but can **completely replace it end-to-end**.\n\nThe flexibility of our automation builder allows for extremely complex workflows to be automated. **If Zapier were a calculator, we would be WolframAlpha.**\n\n![uploaded image](/media/?type=post&id=75408&key=user_uploads/1522221/c00a27cc-ea22-4412-9dea-4691f906d330)\n\n### **How We Started 🌱**\n\nAgentHub started as a UI wrapper for **Auto-GPT**. We quickly realized that people were using the platform to try and automate incredibly niche/complex tasks but **autonomous agents were simply too unreliable and expensive**. Our key insight was that when automating these types of workflows, you really want to **minimize the use of AI**, and keep it to just the core reasoning component of the workflow.\n\n**AgentHub automations are generally 90% infrastructure and 10% AI** resulting in increased consistency and reliability, while being economically efficient at scale.\n\n### **Need More Integrations? 🔗**\n\nWe are constantly working to add more integrations and operations to the platform. [Request a custom integration here!](https://www.agenthub.dev/?utm_source=yc&utm_medium=post&utm_campaign=launch_yc#request-automation)\n\n### **Our Ask 🙏**\n\n* Try [AgentHub](https://agenthub.dev/?utm_source=yc&utm_medium=post&utm_campaign=launch_yc) **for free** using [45+ ready-to-run automations](https://www.agenthub.dev/templates?utm_source=yc&utm_medium=post&utm_campaign=launch_yc) or build your own automations for Software Development, Sales/CRM, Media/News, HR & Hiring, Administration, Financial Analysis, and more!\n* Email [feedback@agenthub.dev](mailto:feedback@agenthub.dev) with any general feedback, questions, concerns\n* Booking a [meeting with me](https://calendar.app.google/D86FBXL87wofkpV46) for a demo, building a custom solution for your business, or any feedback on the product!", "url": "https://www.ycombinator.com/launches/JcG-agenthub-automate-any-workflow-with-ai", "votes": 199, "created_at": "2023-10-06T14:15:30.970Z" } ] }, { "id": 29184, "name": "DryMerge", "slug": "drymerge", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d1f059f261793064d1e71c446f372bef42ee5e12.png", "website": "https://www.drymerge.com", "all_locations": "San Francisco, CA, USA", "long_description": "We create AI agents that constantly monitor emails, calendar, calls, or wherever else companies have relationship data and organize it into CRM records as meticulously as a great rep would.\r\n\r\nWe build these agents on top of the DryMerge platform, a tool to build AI agents that integrate with business apps and work in the background.\r\n", "one_liner": "AI that updates your CRM for you", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1701198714, "tags": [ "CRM", "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/drymerge", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/drymerge.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/98894763/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d1f059f261793064d1e71c446f372bef42ee5e12.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": 1523010, "full_name": "Samuel Brashears", "title": "Founder", "founder_bio": "CTO DryMerge, formerly Cerebras Systems and Hive AI.", "is_active": true, "linkedin_url": "https://linkedin.com/in/samuel-brashears000", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/727ecda8a8e5bcfcc8e9c55938be592d588b0c9d.jpg" } ], "jobs": [ { "id": 70506, "title": "Founding Fullstack Engineer", "url": "https://www.ycombinator.com/companies/drymerge/jobs/Tned0vP-founding-fullstack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$115K - $175K", "equity_range": "1.00% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "JavaScript", "Rust" ] }, { "id": 76735, "title": "Sales Development Representative", "url": "https://www.ycombinator.com/companies/drymerge/jobs/oM6myJT-sales-development-representative", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80K - $120K", "equity_range": "0.25% - 0.75%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Announcing our $2.2M Seed Round", "url": "https://drymerge.com/blog/announcing-our-seed-round", "date": "Sep 16, 2024" }, { "title": "DryMerge promises to connect apps that normally don't talk to each other — and when it works, it's great | TechCrunch", "url": "https://techcrunch.com/2024/09/15/drymerge-promises-to-connect-apps-that-normally-dont-talk-to-each-other-and-when-it-works-its-great/", "date": "Sep 15, 2024" } ], "launches": [ { "id": 89149, "title": "DryMerge - AI that updates your CRM for you.", "tagline": "AI agents that monitor your customer interactions and organize them into CRM records.", "body": "Hey everybody! We’re super excited to announce that you no longer have to update your CRM. \n\n**TL;DR:** AI agents that monitor your customer interactions across every channel — from call transcripts to Slack messages — and organize them into CRM records. We eliminate manual data entry for reps and make your CRM a perfect source of truth.\n\nIf you’re interested in perfect CRM data with no manual effort, book a meeting with us [here](https://cal.com/edwardfrazer/drymerge-consultation).\n\n\n\n## **The Problem**\n\nCRMs like Salesforce and HubSpot are only useful when populated with really good data. Without good data, pretty much every CRM feature like reporting, forecasting, automation, etc. becomes either useless or actively harmful. The problem is that updating the CRM with good data is **hard**, and **traditional methods don’t work.**\n\n\\\nThere’s two main ways CRMs get updated today:\n\n1. A rep manually writes notes, updates deal stages, fills in custom fields, and generally does a whole lot of data entry.\n2. A CRM integration ‘captures’ activity from email/calendar and copy pastes it into the CRM automatically.\n\nBut _both of these fail_. Why?\n\nCRM integrations don’t organize data. They copy-paste unstructured data into your CRM, but to be _useful_ data needs to be structured & organized into records (new contacts, deal stage updates, intelligent notes, custom field changes, etc). Activity capture is not good at that.\n\nReps can organize data into records, but, like many highly manual & repetitive things, they _hate_ it and are bad at it. Human CRM updates become very error-prone and inconsistent (or nonexistent).\n\n**The Solution**\n\n\n\nWe create AI agents that constantly monitor your emails, calendar, calls, or wherever else you have relationship data and organize it into CRM records as meticulously as a great rep would.\n\nThis looks like enriching and creating contacts, writing detailed & specific notes, associating related records, updating deal stages, scoring leads, etc.\n\nThe agents work in the background — you never have to touch our UI or touch your CRM; just work as you would normally and our agents keep track of everything.\n\nWe integrate with over 50 business apps and CRMs like Salesforce, HubSpot, Pipedrive, and Zoho. We add new integrations quickly!\n\nOur agents are tailored to your deal process and the information you want to record. \n\n* For example, one of our B2B SaaS customers really cares about creating notes after calls with information like what connectors an enterprise is using and whether they’re self-hosting or not. They want the notes associated with the correct opportunity, account, & all stakeholder contacts.\n* On the other hand, financial services firms we work with have tons of domain-specific custom fields, custom objects, and deal stages they want to populate from email exchanges.\n\nSince our agents follow arbitrary plain English instructions, we can accommodate almost every deal process.\n\n## **How did we arrive at this problem?**\n\nOur core product is a platform to build integrated AI agents that work in the background. Over the last 10 months, by far the most popular use-case we served were agents to update CRMs. We leaned into this demand and designed towards making these agents great. They’re capable of operating in very large CRMs with > 99% reliability on updates.\n\n## **The Ask**\n\nIf you have CRM data problems (either because you don’t update the CRM or your reps struggle with it), feel free to grab some time [here](https://cal.com/edwardfrazer/drymerge-consultation)! Let’s chat :) \n\nIf you know any RevOps or Sales Ops leaders who struggle with keeping their CRM up to date, we’d really appreciate an intro ([founders@drymerge.com](mailto:founders@drymerge.com))!", "url": "https://www.ycombinator.com/launches/NBt-drymerge-ai-that-updates-your-crm-for-you", "votes": 10, "created_at": "2025-04-01T14:28:33.618Z" }, { "id": 78755, "title": "🚀 DryMerge: Automate work with plain English", "tagline": "Describe your frustrating or repetitive workflow and get an automated solution in seconds.", "body": "**TL;DR:** [DryMerge](https://drymerge.com/) lets you automate workflows with plain English. Some interesting examples…\n\n* “Whenever I get an email from a potential customer, add them to HubSpot and send me a text”\n* “Summarize the conversation I had with Sam on Slack and email it over to Henry.”\n* “Whenever I finish a Google Meet with a client, update the call notes and next steps in Salesforce.”\n\nTry us out [**here**](https://auth.drymerge.com/en/signup) **for free!** Get in touch at [founders@drymerge.com](mailto:founders@drymerge.com).\n\n![uploaded image](/media/?type=post&id=78755&key=user_uploads/865934/9a408a09-72af-4d80-bbf1-d1ada107b407)\n\n### Our Goal\n\nWe want to help knowledge workers take back the **5 weeks a year** they spend switching between tools and handling repetitive tasks. We do this by letting you make automations in a chat, with plain simple language. Here’s how it works.\n\n* After you say what you want to automate, DryMerge makes a plan, breaks the task up into simple steps, and, if needed, makes the automation automatically respond to events.\n* DryMerge integrates with tools like Slack, Gmail, Google Sheets, Google Meet, SMS, HubSpot, Salesforce, Notion, and GitHub to automate work across tools. We’re adding more integrations fast!\n* DryMerge knows about your team so you can say things like “Text Julie a summary of my recent conversation with John on Slack” and watch it actually happen.\n\n![uploaded image](/media/?type=post&id=78755&key=user_uploads/865934/dc55a4ff-fa9d-4049-8231-7758c5aa56aa)\n\n### Why?\n\nThere are many automation platforms out there, but we’re the first to take “plain English” seriously. [Sam](https://linkedin.com/in/samuel-brashears000) and I ([Edward](https://linkedin.com/in/edward-frazer)) hate struggling with deceptively complicated no-code builders and fidgeting with flaky scripts. We want to build a product that makes powerful software _extremely_ easy to use for people who find working with today's automation tools challenging. \\\n\\\nWe think the best way to do that is by letting people use their software with plain language.\n\nWe’ve known each other since 4th grade and worked at places like Stripe, Hive, Facebook, and AWS. We’re so excited to launch this product and help you automate!\n\n![uploaded image](/media/?type=post&id=78755&key=user_uploads/865934/3484b9a7-3229-435b-a2ed-3db33e5072a2)\n\nIf you’d like to try us out, please do [here](https://drymerge.com/app)! We’re also available at [founders@drymerge.com](mailto:founders@drymerge.com) or to meet [here](https://cal.com/edwardfrazer+sambrashears/meet).", "url": "https://www.ycombinator.com/launches/KUF-drymerge-automate-work-with-plain-english", "votes": 109, "created_at": "2024-02-26T17:30:03.132Z" } ] }, { "id": 29246, "name": "Tracecat", "slug": "tracecat", "former_names": [ "neometrics.ai", "Neometrics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/13bc35dc5fca68051b65f9b77d4198acae677418.png", "website": "https://tracecat.com", "all_locations": "New York City, NY, USA", "long_description": "Tracecat helps AI-native security teams build agents and automate work. All-in-one platform with agents, skills, prompt-to-workflows, and case management. Scale cyber defense with agents you own.\r\n\r\nOpen source and community-driven at it's core: https://github.com/TracecatHQ/tracecat", "one_liner": "Open-source agentic security automation platform", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1704382841, "tags": [ "Open Source", "Cybersecurity", "Enterprise", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tracecat", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/tracecat.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tracecathq", "x_url": "https://x.com/tracecathq", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/tracecat", "github_url": "https://github.com/TracecatHQ/tracecat", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/13bc35dc5fca68051b65f9b77d4198acae677418.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1589002, "full_name": "Chris Lo", "title": "Founder/CEO", "founder_bio": "CEO and cofounder @ Tracecat", "is_active": true, "linkedin_url": "https://linkedin.com/in/chrislohy", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9364ac3f992aed21a5c91ff788661feee6b346ec.jpg" }, { "user_id": 1593591, "full_name": "Daryl Lim", "title": "Founder/CTO", "founder_bio": "Daryl Lim is the Co-Founder and Chief Technology Officer of Tracecat.\n\nPreviously, he worked on various observability, data and AI infrastructure teams at AMD, Meta, and a London-based quant trading firm. He earned a Bachelors and Masters degree in Computer Engineering from Imperial College London.", "is_active": true, "linkedin_url": "https://linkedin.com/in/daryllimyt", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fefca3125ffea270c6461ff05704f3a62c0243bb.jpg" } ], "jobs": [ { "id": 97385, "title": "Software Engineer (Full-stack)", "url": "https://www.ycombinator.com/companies/tracecat/jobs/iatK7cl-software-engineer-full-stack", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $250K", "equity_range": "0.10% - 0.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python", "React", "TypeScript", "Next.js" ] }, { "id": 117455, "title": "Mid-Market Account Executive", "url": "https://www.ycombinator.com/companies/tracecat/jobs/pzdYsO1-mid-market-account-executive", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $350K", "equity_range": "0.10% - 0.20%", "experience": "2+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "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": 29277, "name": "Basalt", "slug": "basalt", "former_names": [ "Basalt Tech" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bdc6db574181bc5f564f9fcdee3e3a8f66a68b75.png", "website": "https://basalt.space/", "all_locations": "San Francisco, CA, USA", "long_description": "Basalt is building Constellations as a Service, self-flying satellite constellations tailored for private enterprise and the government without any prior aerospace experience needed! Powered by our Diamond AI, Basalt provides a seamless experience, enabling users to fly and stream data and images from their own dedicated satellite constellation onto their phones and laptops. \r\n\r\nBasalt received its seed investment as part of the Y Combinator W24 batch, and has since launched Spirit-EEL, the world's first AI-controlled satellite constellation.", "one_liner": "Constellations as a Service", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1706583323, "tags": [ "Satellites", "Aerospace", "Automation", "Defense", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/basalt", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/basalt.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/basaltspace", "x_url": "https://x.com/basaltspace", "fb_url": "https://www.instagram.com/basaltspace/", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bdc6db574181bc5f564f9fcdee3e3a8f66a68b75.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/9482e25ecc0eac97d7c8dc02f03c47fe3739d9d0.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 1408579, "full_name": "Maximillian Bhatti", "title": "Founder/CEO", "founder_bio": "CEO & Co-Founder of Basalt // I was working at Caltech’s fusion lab when I was hired out of high school to work at MIT AeroAstro on their CubeSat mission.\n\nSince then, I’ve spent stints at The Aerospace Corporation and SpaceX working on distributed space systems and the American moon landing. Most recently, I dropped out to build Basalt. My hobbies include hiking and buying infinite whiteboards.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maximillian-bhatti/", "x_url": "https://x.com/basaltceo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fa5c88bf380ea1ee2c488803a898e62d87b310be.jpg" } ], "jobs": [], "news": [ { "title": "Basalt Space and Bay Area Rivals Aim to End Starlink's Constellation Monopoly", "url": "https://spacedaily.com/sd-n-basalt-space-and-bay-area-rivals-aim-to-end-starlinks-constellation-monopoly/", "date": "May 05, 2026" }, { "title": "Welcome to the Great American Satellite Age | WIRED", "url": "https://www.wired.com/story/welcome-to-the-great-american-satellite-age/", "date": "May 04, 2026" } ], "launches": [ { "id": 79293, "title": "Basalt Tech - Windows for Spacecraft", "tagline": "Building the world’s first satellite operating system.", "body": "\n\n# **Windows for Spacecraft: Basalt Dispatch**\n\n![uploaded image](/media/?type=post&id=79293&key=user_uploads/1408579/b881339f-9903-4801-ada1-3aad37a29dd9)\n\n_Fig 1. - Dispatch simulation engine based on open source NASA code. The graphics have room for improvement!_\n\n**Dispatch** is the first satellite OS. It provides a common software infrastructure to allows fleets of dissimilar satellites to work together:\n\n* **Tasking**: Image geographic areas in visible, infrared, or radar.\n* **Radio and Telecom:** Manage in-orbit networks and signals intelligence collection.\n* **Orbital Security**: Monitor and inspect other space assets.\n\nNew or external software modules can also easily be integrated, rather than being rewritten for each individual satellite. \n\nThere are over 65,000 satellites licensed to be launched by 2030. That’s over $100B of assets whose value comes from the bytes of data they send down. Right now, that data pipeline includes email, whiteboards, and Excel.\n\n**Dispatch is here to change that, and bring autonomy into orbit, for every mission.**\n\n### **Background**\n\nFlight operations still rely on manual processes and highly custom software. While this is acceptable for single, high-value missions, the need to manage large, flexible satellite fleets challenges that status quo.\n\n![uploaded image](/media/?type=post&id=79293&key=user_uploads/1408579/d4de8161-592c-4be8-93fa-852119b3f0da)\n\n_Fig 2 - ESA Visualization of active and defunct satellites around Earth._\n\nThis type of modular software infrastructure has been implemented in-house before, usually on specific hardware. (Think individual custom OS’s before Windows.)\n\nRight now, there is no solution for space companies or government agencies other than to take on massive in-house development, or scale up their operations staff. This is the story we’ve heard over and over talking to flight directors and CEOs.\n\n**The innovation Dispatch brings is its universality - Dispatch allows this functionality to be brought to any space asset out-of-the-box.**\n\n### **Recent Progress**\n\n![uploaded image](/media/?type=post&id=79293&key=user_uploads/1408579/3e274d18-5163-4a31-aaff-cd4862d8b753)\n\n_Fig 3 - Alex and Max at the National University of Singapore. We are beginning an effort to revive one of their satellites with our software._\n\nOne month ago we wrote our first line of code. Today, after 2 weeks of travel, we have kicked off collaborations with some of the leading space systems institutions around the globe.\n\n* **Massachusetts Institute of Technology (MIT), United States**\n * Industry presence in MIT AeroAstro’s Space Systems class, which trains the next generation of space engineers.\n * Integration of MIT flight operations applications into OS.\n * Ongoing collaboration with STAR Lab missions.\n* **University of Toronto, Canada**\n * Project to revive HERON MkII on-orbit.\n * Collaboration on software stacks for HERON and FINCH missions.\n* **National University of Singapore, Singapore**\n * Project to revive Galassia-2 on-orbit.\n * Operations and teaching software for STAR Centre missions and classes.\n* **Aarhus University, Denmark**\n * Project to revive DISCO-1 on-orbit.\n * Collaboration on operations software integrations for DISCO-2 and 3 missions.\n\nWe have a line of university space programs around the world waiting to talk to us, but had to pause for fundraising in San Francisco.\n\n**Just a handful of academic space programs function as the source of almost all engineering talent in the space industry.** These collaborations are invaluable for our journey towards product-market fit, and provide a platform to gain flight heritage for Basalt.\n\n### **About Us**\n\nIn 2020, [Alex](https://www.linkedin.com/in/alex-choi/) hired a 17-year old [Max](https://linkedin.com/in/maximillian-bhatti-1a9806266) to fix broken satellite radios in the back shed of a Los Angeles dentistry.\n\nOver the next few months, the duo would assemble a crack team of engineers in LA and Cambridge to bring MIT’s CubeSat program back to life. Six months later, the completed satellite was being integrated into the rocket for launch.\n\nWe have been close friends ever since, and have worked in research, commercial, and government space.\n\n### **Asks**\n\nCheck out our [website](https://basalt.space/)!\n\nInterested in how we can help streamline your mission? Set up a [meeting](https://basalt.space/contact).\n\nIf you’re in the govt. or commercial space industry, tell us what you’d like to see!\n\n* Reach out to: [founders@basalt.space](mailto:founders@basalt.space)\n* Phone number: (415) 385-7136", "url": "https://www.ycombinator.com/launches/Kcv-basalt-tech-windows-for-spacecraft", "votes": 15, "created_at": "2024-03-12T13:30:27.452Z" } ] }, { "id": 29295, "name": "Artisan", "slug": "artisan", "former_names": [ "Artisan AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/61aa9acec1aa25d3c9c9bc75e8644ee24ff0faed.png", "website": "https://artisan.co/?utm_source=ycombinator", "all_locations": "San Francisco, CA, USA", "long_description": "Artisan builds AI employees, called Artisans, that take on real work and help teams accomplish more. Our mission is to build AI employees that can take responsibility for work across a broad range of roles and industries.\r\n\r\nOur first three Artisans focus on sales:\r\n\r\nAva is our outbound AI BDR. She finds and researches prospects, runs personalized outreach, handles replies, and books meetings.\r\n\r\nAaron is our inbound AI SDR. He engages website visitors, answers questions, qualifies leads, and books meetings with the right person.\r\n\r\nAria is our AI account executive. She delivers personalized product demos, handles objections, and helps prospects take the next step.\r\n\r\nThese first three employees are the starting point for a much broader AI employee company. We're building toward a future in which businesses can delegate meaningful work to AI employees across their organizations, with people setting direction and collaborating where their judgment matters.\r\n\r\nWe're a small team with offices in San Francisco and New York. We value technical ambition, fast iteration, and taking responsibility for results. We're hiring people who want to help build the next generation of AI employees.", "one_liner": "AI employees that take on real work, starting with sales", "team_size": 50, "industry": "B2B", "subindustry": "B2B", "launched_at": 1698323535, "tags": [ "B2B", "Sales", "Automation", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/artisan", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/artisan.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/artisanai/", "x_url": "https://twitter.com/GetArtisanAI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/artisan-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/61aa9acec1aa25d3c9c9bc75e8644ee24ff0faed.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/64/1712293014215-anvxyh6ih59-b0bccb8ba1058ab91c459530ba462c16/64bcf7af770220e44b61e134b5fcde30.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022716Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=f80ad4681296d516767dcc7ec8965a73ba7417112ce7855c515b2e48366bb9c9", "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1602336, "full_name": "Jaspar Carmichael-Jack", "title": "Founder/CEO", "founder_bio": "Consolidating and automating software, starting with outbound sales. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/jaspar-carmichael-jack", "x_url": "https://twitter.com/jasparcjack", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/00785b4b09b95304c5ca59a1354145d1bdf29d6d.jpg" }, { "user_id": 4312095, "full_name": "Sam Stallings", "title": "Founder", "founder_bio": "I lead product and engineering at Artisan to build AI agents that automate business workflows. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samantha12345", "x_url": "https://x.com/sampstallings", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9b9b143ea795126afb30e33eb7b81b1b80e69c08.jpg" }, { "user_id": 736039, "full_name": "Samantha Stallings", "title": "Founder", "founder_bio": null, "is_active": true, "linkedin_url": "https://linkedin.com/in/samantha12345", "x_url": null, "avatar_thumb_url": "/avatars/thumb/missing.png" } ], "jobs": [ { "id": 93548, "title": "Builder", "url": "https://www.ycombinator.com/companies/artisan/jobs/IBxGAEn-builder", "location": "San Francisco, CA, US / New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $190K", "equity_range": "0.08% - 0.20%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 107695, "title": "Founding Growth Marketer", "url": "https://www.ycombinator.com/companies/artisan/jobs/oH2tcj2-founding-growth-marketer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$120K - $190K", "equity_range": "0.10% - 0.15%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 109578, "title": "Staff AI Engineer - Agent Architecture & Behavior", "url": "https://www.ycombinator.com/companies/artisan/jobs/RckyIGW-staff-ai-engineer-agent-architecture-behavior", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$250K - $325K", "equity_range": "0.15% - 0.30%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [ { "title": "Artisan, the 'stop hiring humans' AI agent startup, raises $25M -- and is still hiring humans  | TechCrunch", "url": "https://techcrunch.com/2025/04/09/artisan-the-stop-hiring-humans-ai-agent-startup-raises-25m-and-is-still-hiring-humans/", "date": "Apr 09, 2025" }, { "title": "Artisan raises $11.5M to deploy AI 'employees' for sales teams | VentureBeat", "url": "https://venturebeat.com/business/artisan-raises-11-5m-to-deploy-ai-employees-for-sales-teams/", "date": "Sep 30, 2024" }, { "title": "Artisan AI raises $7.3M to develop autonomous AI employees - Tech.eu", "url": "https://tech.eu/2024/05/16/artisan-ai-raises-73m-to-develop-autonomous-ai-employees/", "date": "May 16, 2024" }, { "title": "AI startup Artisan raises $2.3M to develop human-like digital workers - Tech.eu", "url": "https://tech.eu/2023/11/17/ai-startup-artisan-raises-23m-to-develop-human-like-digital-workers/", "date": "Nov 17, 2023" }, { "title": "Artisan AI raises $2.3M pre-seed - The Business Magazine", "url": "https://thebusinessmagazine.co.uk/corporate-finance/artisan-ai-raises-2-3m-pre-seed/", "date": "Nov 15, 2023" } ], "launches": [ { "id": 77436, "title": "Ava, The Sales Rep Artisan: The AI Employee Who Automates Cold Email", "tagline": "Meet Ava, the AI BDR with 270M leads who gets you sales meetings on autopilot.", "body": "**After months of relentless work, we present Ava: the first Artisan. Ava is a BDR, and she’ll take your outbound demand generation to new heights.**\n\n# **Here’s How She Works**\n\n![uploaded image](/media/?type=post&id=77436&key=user_uploads/1602336/955e21f2-f12f-4e23-8dc1-bd9c232128c8)\n\n**When you first enter the platform, Ava will lead you through a 10-minute onboarding conversation. With this, she’ll have all of the information she needs to run your outbound campaign.**\n\n![uploaded image](/media/?type=post&id=77436&key=user_uploads/1602336/17b62f86-43ee-4f9c-aef7-6e47a9e2b500)\n\n**Ava will scrape your website and use the onboarding conversation to create a knowledge base on your company, which she’ll use to write emails.**\n\n![uploaded image](/media/?type=post&id=77436&key=user_uploads/1602336/9fbfd1ab-6740-4087-822a-06d4fa27e3d0)\n\n**Ava will prospect leads at scale, using our database of over 270 million contacts. She will gather 10s of data points on each.**\n\n![uploaded image](/media/?type=post&id=77436&key=user_uploads/1602336/835149d6-1237-4143-a244-f6d9f03e97f8)\n\n**Ava will ghostwrite & send 1000s of tailored emails to prospects on your behalf, using information provided by you and your website to understand your product, and publicly available information about leads.**\n\n![uploaded image](/media/?type=post&id=77436&key=user_uploads/1602336/b74eed39-fb54-46a5-810e-712001f4c3f4)\n\n**Ava will respond to prospects’ replies with the primary objective of booking sales meetings into your calendar. (Please note this feature is currently in Beta and you will be required to manually review all emails for the next few weeks.)**\n\n### Who Is Ava For?\n\n**We primarily built Ava for B2B SaaS startups with early product-market fit. Ava can take your market traction and pour fuel on the fire! 🔥**\n\n### **To hire Ava, head to **[**https://artisan.co/ava-sales-rep**](https://artisan.co/ava-sales-rep)**, or email **[**jaspar@artisan.co**](mailto:jaspar@artisan.co)", "url": "https://www.ycombinator.com/launches/K8y-ava-the-sales-rep-artisan-the-ai-employee-who-automates-cold-email", "votes": 33, "created_at": "2024-01-11T19:53:47.486Z" } ] }, { "id": 29348, "name": "Parallel", "slug": "parallel", "former_names": [ "Kiosk" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/49003875f2b0e7d5e2b5e10ad67e7b43f3aeb43f.png", "website": "https://www.beparallel.com/?utm_source=ycombinator&utm_medium=directory", "all_locations": "Paris, Île-de-France, France", "long_description": "We build AI agents that automate healthcare admin workflows. Our agents navigate legacy hospital software like humans (using mouse and keyboard) and automate end-to-end workflows (starting with medical coding), freeing medical professionals from manual tasks.", "one_liner": "AI agents for healthcare admin", "team_size": 15, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1707957478, "tags": [ "Healthcare", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "France", "Europe" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/parallel", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/parallel.json", "year_founded": 2024, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/beparallel/", "x_url": "https://x.com/beparallelhq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/49003875f2b0e7d5e2b5e10ad67e7b43f3aeb43f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/48f6d6c67ea0308afc30b324ec2500db905ef832.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1623166, "full_name": "Paul Lafforgue", "title": "Founder/CEO", "founder_bio": "Paul graduated from Ecole polytechnique and HEC. With experience at Meta and McKinsey, he developed deep expertise in AI and its applications in complex industries.", "is_active": true, "linkedin_url": "https://linkedin.com/in/paullafforgue", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fccc1404ed0b557a4a96d71432e5b0f8fd64fe9a.jpg" } ], "jobs": [], "news": [ { "title": "Parallel raises $20M to scale AI solutions for hospital administration - Tech.eu", "url": "https://tech.eu/2026/03/19/parallel-raises-20m-to-scale-ai-solutions-for-hospital-administration/", "date": "Mar 18, 2026" } ], "launches": [] }, { "id": 29354, "name": "crmCopilot", "slug": "crmcopilot", "former_names": [ "Timecard", "quantic", "Quantic", "Quantic Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a92963c7922ed7c65ae686f8dfd2c561c463c8b.png", "website": "https://www.crmcopilot.co?utm_source=yc", "all_locations": "San Francisco, CA, USA", "long_description": "crmCopilot – Stop with the grunt work. Spend more time with customers.\r\n\r\nAre you juggling multiple accounts and conversations? Are you worried about missing follow-ups or letting opportunities fall through the cracks? Are you spending hours every week updating your CRM… but still struggle with duplicates, stale data, and unreliable reports? Does just thinking about Salesforce give you anxiety?\r\n\r\nWorry no more.\r\n\r\ncrmCopilot is an AI assistant purpose-built to support front-office teams by taking care of tedious tasks and delivering proactive insights:\r\n\r\n-- Automated CRM Updates: crmCopilot intelligently detects when your CRM needs attention, drafting precise and timely updates that you can approve with a single click - transforming hours of manual data entry into mere seconds.\r\n\r\n-- Task Management: crmCopilot proactively identifies your next steps, important follow-ups, and critical tasks. It continuously tracks deadlines and action items, ensuring nothing is forgotten or overlooked.\r\n\r\n-- Global Search: Quickly find crucial information across all your emails, CRM data, calendar events, call recordings, documents, and notes, all from a single, intuitive search interface. No more time wasted hunting down important details.\r\n\r\ncrmCopilot customers close more deals and build stronger relationships. You’ll spend more time with customers, never miss a task or opportunity, and walk into every meeting fully prepared with every customer interaction at your fingertips. \r\n\r\nGive Salesforce the AI upgrade it deserves. Try crmCopilot today.\r\n", "one_liner": "Give Salesforce the AI upgrade it deserves", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1709006335, "tags": [ "Sales", "Sales Enablement", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Inactive", "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/crmcopilot", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/crmcopilot.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/crmcopilotco", "x_url": "https://x.com/crmcopilot", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a92963c7922ed7c65ae686f8dfd2c561c463c8b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/dff804182e7e25e8c1fc9d73ae9f605f12969357.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b9f2f75e17f088a9a7f5bcda7ebc97ab9d2eab37.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 318114, "full_name": "Grant Margerum", "title": "Founder", "founder_bio": "- Studied CS \n- Worked at Salesforce as a dev for two years then as an SE (pre-sales engineer) for two years\n- Joined Northbeam as the 1st employee and Head of Sales; grew the business from $200k -> $10m in 15 months", "is_active": false, "linkedin_url": "https://linkedin.com/in/grantmargerum", "x_url": "https://twitter.com/GrantMargerum", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c3a4114e5a740c7e3aa4ee98bfe5ac5e6a810645.jpg" }, { "user_id": 1654569, "full_name": "Garrett Graves", "title": "Founder", "founder_bio": "Dropped out of college to build Real Time Video at Mux and Twitch. Avid open-source contributor (https://github.com/GRVYDEV). Built AI Agents before they were cool at Quantic. Currently leading the Agent Environments team at Perplexity", "is_active": false, "linkedin_url": "https://linkedin.com/in/graves-dev", "x_url": "https://twitter.com/grvydev", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a56e106801c021539a7dad1ac2d13505a1ce6598.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 91926, "title": "crmCopilot - Give Salesforce the AI upgrade it deserves!", "tagline": "Stop with the grunt work, spend more time with customers", "body": "Hey YC, we're Grant and Jarrek, and we're excited to launch crmCopilot!\n\ncrmCopilot automates data entry, proactively manages your tasks, and helps you quickly find critical information across all your interactions… so you can spend less time on grunt work and more time with customers!\n\n[https://www.youtube.com/watch?v=3rUnCUGin7U](https://www.youtube.com/watch?v=3rUnCUGin7U&ab_channel=crmCopilot)\n\n**The Problem**\n\nI (Grant) spent four years at Salesforce as a Sales Engineer and saw firsthand how frustrating CRMs can be. Despite massive investments, CRMs often become messy and unreliable, burdened with stale data, duplicates, and manual data entry. CRMs promise so much, but never live up to their full potential.  \n\n**“The biggest thing I learned at Salesforce was that everyone hates Salesforce…”** \n\nSo why is this the case? Why hasn’t this been solved already? Well, it’s a hard problem, and many have tried over the years (Salesforce included): \n\n* CRMs are incredibly complicated, unique, and accumulate tech debt\n* There is an enormous amount of source data to make sense of (emails, calls, files, transcripts, etc.)\n\n \n\n**Why It Matters**\n\nSales reps spend 30-50% of their time on grunt work (CRM updates, follow-up emails, quotes/documentation, etc.), and yet we still can't rely on our CRM for reporting, accountability, or automation. \n\nBusinesses suffer from:\n\n* Wasted time - on grunt work instead of customers \n* Unreliable data - lack of accountability, reporting, automation, and insights\n* Revenue left on the table - opportunities fall through the cracks\n\n \n\n**Our Solution**\n\nCRMs are absolutely critical to our business, but they need to be smarter… and thanks to AI, they can be. \n\n![uploaded image](/media/?type=post&id=91926&key=user_uploads/318114/001c4bc7-125d-4415-bbee-a50768315513)\n\nWe built crmCopilot—an AI assistant specifically optimized for front-office teams:\n\n* **Automated CRM Updates** - crmCopilot intelligently identifies when your CRM needs updating, drafting accurate and timely updates that you can approve with just one click.\n* **Task Management** (Cover Your Ass) - crmCopilot proactively identifies next steps, tracks important follow-ups, and ensures no opportunity or critical task ever slips through the cracks.\n* **Global Search** - Instantly find important details across emails, CRM records, calendar events, call recordings, notes, and documents with one simple search.\n\ncrmCopilot integrates into your existing tools/workflow, enhancing your systems rather than replacing them.\n\n**Our Story**\n\nWe (Grant and Jarrek) met at our last startup, Northbeam. Grant was employee #1 & Head of Sales, Jarrek was employee #2 and Head of Product Development. We helped grow that business from $100k to $10m in revenue in about 15 months. We built a lot of trust in one another, we both love building products, and we both love building companies. \n\n**Call to Action**\n\nWe're thrilled to start onboarding users from our waitlist. If you're tired of grunt work, bad data, missing information, or task anxiety, join our waitlist or schedule a call with our team. \n\n\\\nSign up or schedule a demo at [crmcopilot.co](http://crmcopilot.co)\n\n![uploaded image](/media/?type=post&id=91926&key=user_uploads/318114/f982515a-d482-45a0-8c63-67ce536459c1)\n\n", "url": "https://www.ycombinator.com/launches/Nug-crmcopilot-give-salesforce-the-ai-upgrade-it-deserves", "votes": 34, "created_at": "2025-07-07T16:21:02.227Z" }, { "id": 79117, "title": "Quantic - Next generation data for sales teams", "tagline": "Build better pipeline - reach out to the right people, at the right time, with the right message.", "body": "### TLDR\n\n# There are three T’s in sales: **Territory**, **Talent**, and **Timing**. What if we could solve the hardest one… **Timing?**\n\n### Quantic provides better data so sales reps can reach out to the **right people,** with the **right message**, at the **right time.**\n\n![uploaded image](/media/?type=post&id=79117&key=user_uploads/318114/f3f42547-5b9a-470b-8220-d7eae8602281)\n\nHey everyone! We are [Garrett (left)](https://linkedin.com/in/graves-dev) and [Grant (right)](https://linkedin.com/in/grantmargerum), the founders of Quantic. We are building **the future of sales intelligence, a next-generation data platform.** If there’s one thing we’ve learned it’s that sales is hard. But it doesn’t have to be. Today, sales reps navigate between countless tools looking for an edge, an insight, or a lead. They are limited by their time and their workflows. In the future, reps won’t waste time doing monotonous data work, they will be able to **focus on what they do best, selling**.\n\nWe built Quantic with the mission of 10x-ing sales reps. We make it easy for reps to **research their customers, identify opportunities,** and **optimize their time.**\n\n![](https://lh7-us.googleusercontent.com/-zozKMssr-3OqplVhIbcePRbn0zYDIspQnUMqgKq4v_jsqBvKlY6tU0KofxlzAZ33M3lxgSxRlxuHcveKKswV2MTFC5W1sLiHyWlNALt0OgxXvkIpdC9tzRVXjZO-_As8M40ulVvvPz7Pa06nBCOe1U)\n\n### The Problem\n\n**Prospecting sucks. Reps have a hard time consistently building a pipeline**\n\n* Don’t know which accounts to go after\n * Don’t know which are qualified\n * Don’t know which are ready to buy\n* Don’t have a good entry point\n * Hard to find the right contacts\n * Hard to craft personalized/engaging messaging every time\n* Don’t have enough time\n * Existing tools are clunky and filled with junk data\n * Don’t have time to do thorough research\n\n![](https://lh7-us.googleusercontent.com/rkH_Xlq76A5Y12HD7eoSkE-WRbTbBuU2xsZPLj6PSdx_oEzIYX8eljoo_TBg4cKomrP15A3xnH30SJ_rVWaJ1zdzcscYjQdNHigivFCGrnWch_erxpPx08S_z9buX1hPPGegN1k73yx1ApCM_UqHaQE)\n\n### The Solution\n\n**Better data allows reps to reach out at the right time with the right message**\n\n* Quantic’s data is\n * Fresh/relevant\n * Personalized to you\n * Reliable\n* With Quantic, sales reps\n * Identify hot accounts & contacts\n * Send relevant messages with context\n * At the right time\n\n![uploaded image](/media/?type=post&id=79117&key=user_uploads/318114/87fac7fe-80a4-4bdf-a027-2fbc0cbecc21)\n\n### Example\n\nOne of our customers sells physical security products. They look for buying signals such as crime in their area, moving offices, opening up new stores, press releases, fundraising, etc. In their first week using the platform they **found an article announcing a new office development**. They were able to identify the right contact at the business, reach out to them with this article, and **immediately schedule a demo.**\n\n### The Ask\n\nPlease like, comment, share!\n\n**We are actively onboarding customers - If this is interesting to you, please reach out to **[**sales@quantichq.com**](mailto:sales@quantichq.com)** or fill out our lead form at **[**quantichq.com**](https://www.quantichq.com?utm_source=yc&utm_campaign=launchyc)**.**\n\n### We appreciate your support!!", "url": "https://www.ycombinator.com/launches/Ka5-quantic-next-generation-data-for-sales-teams", "votes": 57, "created_at": "2024-03-06T16:46:36.285Z" } ] }, { "id": 29397, "name": "Manifold Freight", "slug": "manifold-freight", "former_names": [ "Spot Bot", "Manifold" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b9790a2ac4247fc7994d02af6f1da28c9c0d2f9.png", "website": "https://www.manifoldfreight.com/", "all_locations": "Seattle, WA, USA; Remote", "long_description": "Manifold is revolutionizing the spot freight procurement process for Carriers, Brokers, and Shippers. Our inaugural product transforms the booking process for spot shipments, significantly reducing empty miles and increasing revenue. We do this by aggregating spot shipment opportunities from a variety of shipper and brokerage sources into a single location.\r\n\r\nAndrew and Oliver bring deep domain expertise of freight from their pivotal roles at Convoy, where they were engineering leaders automating processes that were scaled to handle over 10,000 weekly shipments. This background has been instrumental in shaping Manifold's innovative approach.\r\n\r\nIn just two months since launching Manifold has achieved $5,100 in monthly revenue, showcasing the pressing demand for our product. Manifold is poised to transform this $100+ billion industry. Not only will we streamline spot freight procurement operations but we will also redefine the industry's cost structure for the better.", "one_liner": "Aggregating Spot Freight Opportunities for Carriers", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1706900903, "tags": [ "B2B", "Logistics", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/manifold-freight", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/manifold-freight.json", "year_founded": 2024, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/manifold-freight/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b9790a2ac4247fc7994d02af6f1da28c9c0d2f9.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/29455/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAPVLLM2EU%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022717Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJGMEQCIERmcK8Cf9%2Btw509DI59PWqE38RRTAlvZa4J3JDwHNfvAiAayM%2BKkNtOvjgd758WgPB4q6%2BUu3dhFEeIBKJdEEYmHirlAwg5EAAaDDAwNjIwMTgxMTA3MiIMT2KDc6%2BsqQRelJt7KsIDHKXozlWP2zRm6TyaI63cZu7UdMNJI84LhfrBVoBzKOZrazhBds2e6DhqALWGgEHuhaH96sBW1vGKF0SZPA8JEf%2FhnbI%2B0LPups6efXBWO1aKfnU6HWjkfPemBseL1V1dBRWh3MHmM%2BS0wsfJmaYaFWTcHaaVraOkFgeuvtIGQt%2FnimlcxYe9MQMOeYiPnm5yfGLPkCnGOvHZGDepzR19xj6ZjRi9QZRcX734o%2BDyXGZIQOACA5etqDAXBP7fbW8udzjKK9cHEGPamT7IlaTLAWBWnDjL2T9zw8ZCXoeolYzeaw3DTEK0tdnm9pXjkPGWxrNUNlecD6CiG7M3gr2Lm8eody0o9pj5Ec9BIcJ09i9djYQp%2F9Qt3RQagWspbZEm0RIM98ukXmmQO%2Br5NwFl2BqP7h04EVZMR4%2FxuoUkyMfNGipkzTdDAKGOV2wo7LqFqinznpZBKbguQ%2Fg6wWy40kCNyoPguBPf8GYzzIvusP5x6bf1QHvMlXyb8ElzS4lScRKm7v5GhARAJq%2BveXuxU3aR2lwL84TF9HIpOZ6loG5wOggyMO5KqHtaunl14wjKV3M6InDmt6%2F5NLTGbL6N0P36MOn92tYGOqYB%2B%2FclWb0gxQJ%2FmXWJ%2FID3oboHUM%2BqcRMUObsJl1yosDN9kekbLFwXPJS0wjujDnQuGXhjbEK0yPyr8Dgq35lBDPMlxWRQ8upAxHpp%2F0cruekkJPyONG5qpVv25DqS52YxtylQ0pbERuY6rX1AFi5Hwd5%2FQJgU8TuncKO5FjbC0OPiim0nrZjMnv3t4R3u06MVK4%2FRj2yhCS4qwhYGeOsJdP79%2BCqZqQ%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=57b5b39f8397474da7e8c9a5052210a7ecc57fd062ed9fce6de2811dcc8ba0bc", "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/95b361c3b20f5583d3bf119168320ad0e64e7724.png" ], "primary_partner": null, "founders": [ { "user_id": 1114978, "full_name": "Oliver Jones", "title": "Founder/CEO", "founder_bio": "I am the CEO and co-founder of Manifold. Previously, I spent years in startup life at Convoy, learning firsthand about growing teams, pivoting and launching new products. Most importantly, learned a great deal about the logistics space and the problems that need to be solved there.", "is_active": true, "linkedin_url": "https://linkedin.com/in/oliver-jones-936a0a58", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b6134975facdb3c4951aea85bffe32b4fabc3017.jpg" }, { "user_id": 383097, "full_name": "Andrew Huff", "title": "Founder/CTO", "founder_bio": "I am the CTO and co-founder of Manifold Freight.\n\nMost recently I worked as a software engineer and engineering manager at Convoy - a digital freight brokerage. Specifically working on tools to automate cumbersome freight logistics processes.", "is_active": true, "linkedin_url": "https://linkedin.com/in/andrew-huff-222b2a21", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cefa9c9b63247f9dee9f4187f8c9b74d461e5047.jpg" } ], "jobs": [], "news": [ { "title": "YC grad Manifold Freight raises $1.9M for trucking logistics software – GeekWire", "url": "https://www.geekwire.com/2024/yc-grad-manifold-freight-raises-1-9m-for-trucking-logistics-software/", "date": "May 20, 2024" } ], "launches": [ { "id": 79276, "title": "🚛 Manifold - We get Carriers better Spot Freight & increase margins up to 30%", "tagline": "Aggregating loads from multiple brokers and shippers into one place.", "body": "**TL;DR** At [Manifold](https://www.manifoldfreight.com/?utm_source=yc&utm_medium=social_media&utm_campaign=yc_launch), we aggregate spot opportunities for carriers.\n\nHi, it's [Oliver](https://linkedin.com/in/oliver-jones-936a0a58) and [Andrew](https://linkedin.com/in/andrew-huff-222b2a21), the co-founders of Manifold. We were early engineers at Convoy (#12 and #50) and where there until the company was acquired by Flexport last Fall. Our broad and recent experience at Convoy has given us deep insights into the complexities of the freight industry. Manifold Freight is our response to simplifying a piece of the $800 billion freight industry. Our first target market is Asset Based Carriers - a radically underserved segment..\n\n![uploaded image](/media/?type=post&id=79276&key=user_uploads/1114978/a0e2f5d7-5651-4bbd-8032-d0d267aed291)\n\n**The Underserved Large Asset-Based Carriers** 🚛\\\nOver the last decade, there has been a surge of tech investment into the freight industry (e.g., Convoy, Uber Freight) - but their focus has been maximizing the margin and capacity of smaller carriers (< 10 trucks). Medium to large Asset-Based Carriers, especially those operating with 50+ trucks, have seen minimal interest from tech despite representing more than \\~60% of the U.S. truckload capacity - roughly 2,600,000 trucks! ([data)](https://www.ooida.com/wp-content/uploads/2021/03/Trucking-Facts.pdf)\n\n![uploaded image](/media/?type=post&id=79276&key=user_uploads/1114978/7b7c81c7-9724-4eba-adc4-bc4b21d048ab)\n\nNowhere is this more apparent than in the $100 billion spot freight market. Existing solutions don’t work well for medium and large Carriers. The spot freight market is fragmented across hundreds of load boards, thousands of brokers, and millions of shippers. For medium and large carriers, this fragmentation creates a logistical nightmare. Finding a single spot freight shipment requires a dispatcher to manually login, filter and compare each load against their fleet and availability. Sorting through thousands of emails, multiple load boards and making many time consuming phone calls.\n\nThe result? Dispatchers go the path of least resistance - large public load boards. They can’t take advantage of the much higher value, _shipper direct_ freight because it’s physically impossible to sort through them all every day. These public load boards take an 18-30% cut of the shipment price that otherwise could have gone to the carrier. For the average medium-sized carrier doing 50 spot loads a week, this represents almost $500,000 in lost yearly revenue (2,600 shipments x $700 × 24% = $462,280).\n\n**The Manifold Solution**\\\nManifold solves this problem by aggregating all available spot freight opportunities, including shipper direct spot freight, into one single dashboard. \n\nFinding and bidding on quality shipper direct freight is easier with Manifold than finding low quality loads on [DAT,](https://www.dat.com/) the current industry standard.\n\n![uploaded image](/media/?type=post&id=79276&key=user_uploads/1114978/9b466bfc-653b-4a74-8947-999518a12251)\n\n**Asks**\\\nIf you have connections in the freight industry; whether they be Carriers, Brokers, or Shippers. Send them our way! We talk freight in our spare time and love it.", "url": "https://www.ycombinator.com/launches/Kce-manifold-we-get-carriers-better-spot-freight-increase-margins-up-to-30", "votes": 33, "created_at": "2024-03-11T20:45:43.953Z" } ] }, { "id": 29451, "name": "Basepilot", "slug": "basepilot", "former_names": [ "Nexus" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ab7f5055bddb0617e16226359b7395d5b8354b2.png", "website": "https://www.basepilot.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Basepilot helps insurers, TPAs and MGAs streamline claims operations with line-of-business-specific AI agents. Companies like Old Republic International, Zurich & others use Basepilot to make claims operations more efficient, less costly and more intelligent.\r\n\r\nBasepilot is founded by Ken Hendricks and Pascal Wieler.\r\n\r\nInterested to try it out? Get started here: https://www.basepilot.com/ ", "one_liner": "AI agents for insurance claims", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1704381024, "tags": [ "Insurance", "No-code", "Automation", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "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/basepilot", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/basepilot.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/basepilot/", "x_url": "https://twitter.com/basepilot", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ab7f5055bddb0617e16226359b7395d5b8354b2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3497479028fb34c627989c3c9ad6231c9bba908b.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 338967, "full_name": "Ken Hendricks", "title": "Founder/CEO", "founder_bio": "I’m Ken, co-founder and CEO of Basepilot. We build AI coworkers that collaborate with humans to automate work. \n\nPrior to Basepilot, I led product at a B2B fintech startup and grew it to 3M users in <12 months, with customers like Visa and Bank of America. Before that, I built a computer vision startup out of university that reached $250K ARR with partnerships like Deloitte, KPMG, EY and BMW. \n\nBorn in Mumbai, brought up in New Zealand, before moving to SF. Studied Mechatronics eng.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ken-hendricks-96181611a", "x_url": "https://twitter.com/KenHendricks_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/95ea5d358502a369eef7fe3b31b95f6163163e8a.jpg" }, { "user_id": 842820, "full_name": "Pascal Wieler", "title": "Founder/CTO", "founder_bio": "Hi! I'm Pascal, Co-founder of Basepilot. I grew up in Germany.\n\nPassionate about AI agents, robotics & outdoor sports 🤖🚵. Studied CS MSc. @CMU MLD & KIT. Previously, I co-founded a robotics startup, did research in robotic manipulation & imitation learning at Carnegie Mellon, and worked on self-driving cars at Mercedes-Benz. Excited to be a part of YC, let's chat!", "is_active": true, "linkedin_url": "https://linkedin.com/in/pascal-wieler", "x_url": "https://twitter.com/pascalwieler", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9cec26f8bcb697fe04fa422fb47bc94bd67cab4c.jpg" } ], "jobs": [], "news": [ { "title": "Startups building AI assistants pop in latest YC batch", "url": "https://www.bizjournals.com/sanfrancisco/inno/stories/news/2024/04/04/ai-assistants-y-combinator-demo-day.html", "date": "Apr 04, 2024" } ], "launches": [ { "id": 79264, "title": "🚀 Basepilot: Your AI employee to automate repetitive browser work in minutes", "tagline": "Saving businesses time and resources by automating back-office work across your browser, such as filling out forms, entering information into a CRM, & much more.", "body": "Hey everyone! We’re [**Pascal**](https://www.linkedin.com/in/pascal-wieler/) and [**Ken**](https://www.linkedin.com/in/ken-hendricks-96181611a/), here to introduce you to [**Basepilot**](https://www.basepilot.com/).\n\n# **TL;DR:**\n\nBasepilot creates AI assistants to automate repetitive and manual work across a browser. We help companies save 30% of their time weekly and cut costs, freeing up resources for more high-value tasks. For example, finance, recruitment, or sales teams can automate mundane back-office tasks within a few clicks and a quick demonstration.\n\n![uploaded image](/media/?type=post&id=79264&key=user_uploads/842820/08fef875-2fb5-427c-a017-7cf356bd6ed7)\n\n# **Where Basepilot can help you:**\n\n* **Sales** - To help automate sales outreach, prospecting, and follow-ups.\n* **Recruitment** - To help with sourcing candidates and clients, and analyzing and triaging profiles.\n* **Finance** - To help fill in applications/forms, transfer data, do accounting ops, and update customer details.\n* & any other manual task across your browser!\n\n# **Problem - 30% of a business’s total time and resources is wasted on mundane repetitive work**\n\nCurrently, businesses employ teams of knowledge workers (in sales, ops, recruitment, finance, and more) that face a lot of manual and repetitive processes that slow them down. Although critical to get done, these tasks take hours away from doing more high-value work leading to frustration and lower output among teams.\n\n**For a business, this results in:**\n\n* 30% of their team’s time wasted on mindless tasks\n* Wasted resources spent on hiring more people to handle the workload\n* Increased error rates through manual boring work\n\nFor example, a recruitment firm spends 8+ hours/week per recruiter on repetitive admin work to source candidates, analyze applications and enter data, instead of talking to candidates!\n\n![uploaded image](/media/?type=post&id=79264&key=user_uploads/842820/e1bb23d2-968a-4748-be21-d45be443f4f1)\n\n**Existing solutions suck!**\n\n* Off-the-shelf tools often don’t work as workflows are very specific to a company.\n* Automating processes with tools like UI Path is extremely expensive, requires specialist automation engineers and takes several weeks or months to set up.\n\n# **Solution - Automate repetitive tasks in minutes**\n\nBasepilot makes it super easy for a business to build and train their own AI employees, enabling anyone in the company to automate their mundane and repetitive work, freeing up time for more high-value tasks.\n\n\n\nWe designed Basepilot with these core principles in mind:\n\n* **Works where you work:** Basepilot works across the tools you already use right in your browser as a Chrome extension. No need to adopt new tools or change your workflows.\n* **Teach it like a human:** There’s no need to get technical or hire an expensive automation team, simply train your new assistant to complete work, just like you’d teach a human: by showing and telling.\n* **Faster ROI (at lower cost):** Automate workflows in minutes, not weeks or months. Unlike traditional automation tools, Basepilot can get set up and operational in a fraction of the time & cost.\n* **Keep control:** Basepilot operates in your tabs, allowing you to check in and see what’s happening in real-time while you focus on more high-value work, e.g. engaging in customer conversations while Basepilot sources new leads in the background.\n\n![uploaded image](/media/?type=post&id=79264&key=user_uploads/842820/ce3bce79-8335-4901-9c9d-b6cd949a410b)\n\n# **Meet Ken & Pascal 🇳🇿🇩🇪➡️🇺🇸**\n\n[**Pascal**](https://www.linkedin.com/in/pascal-wieler/) & [**Ken**](https://www.linkedin.com/in/ken-hendricks-96181611a/) both independently traveled to San Francisco in the summer of 2023 (from Germany & New Zealand respectively). We came here without knowing each other to explore the startup space and build the future 💪🏼🔨🚀. While in SF, we met through common friends, vibed well, and started working together. We moved across the world to work together in Europe, and got into YC - which brought us back to the city! Super grateful to be back! ❤️😍\n\n![uploaded image](/media/?type=post&id=79264&key=user_uploads/842820/58e95fa6-361d-4a33-8ddb-a2a1fedf1e26)\n\nWe were inspired by the new wave of AI capabilities and are passionate about unlocking more human creativity by automating away the processes we all absolutely despise!\n\n## **👋 Ask: How you can help**\n\n* Reach out if you have a mundane workflow that you’d wish to be automated! [**Email us here**](mailto:founders@basepilot.com) or if you have 10 minutes to chat, please book a time with us [**here**](https://calendar.app.google/GKNVb1A5DKcQ9qjV9).\n* Connect us to companies that employ large teams to do repetitive back-office tasks in your network (e.g. logistics, insurance, construction, etc.). [**Click here**](mailto:founders@basepilot.com).\n* Follow us on [**LinkedIn**](https://www.linkedin.com/company/basepilot) and [**Twitter/X**](https://twitter.com/basepilot) and join our [**Discord**](https://discord.gg/kdJGwfdJhG).\n\nBasepilot is currently in private beta, working closely with early customers. Email us to schedule a demo at [**founders@basepilot.com**](mailto:founders@basepilot.com) or book a time in our [**calendar**](https://calendar.app.google/GKNVb1A5DKcQ9qjV9). Looking forward to hearing from you!\n\nFor more details, visit [basepilot.com](https://www.basepilot.com/).", "url": "https://www.ycombinator.com/launches/KcS-basepilot-your-ai-employee-to-automate-repetitive-browser-work-in-minutes", "votes": 133, "created_at": "2024-03-11T17:25:32.460Z" } ] }, { "id": 29498, "name": "Integuru", "slug": "integuru", "former_names": [ "Taiki" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c28333543424f2e5753fd39fd195e354af322187.png", "website": "https://www.integuru.com", "all_locations": "San Francisco, CA, USA", "long_description": "Integuru turns any platform into a reliable, low-latency, and high-throughput API. Requests complete in 3 seconds with 99.9%+ success, including deployments above 1M requests/month/platform. No RPA or browsers. No data caching needed. (By Taiki, Inc.)", "one_liner": "Generate fast, reliable APIs for any platform", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1709153976, "tags": [ "Developer Tools", "B2B", "API", "Automation", "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/integuru", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/integuru.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/integuru-ai/", "x_url": "https://x.com/InteguruAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Integuru-AI/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c28333543424f2e5753fd39fd195e354af322187.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/671af5b4733857becce196b5be7ec366e384511c.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/9332ee493a7367a5f9bf8761d099e2ead3d2d473.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 504669, "full_name": "Richard Zhang", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO of Integuru — build and maintain fast, reliable integrations for any platform. Previously, product at Alibaba Cloud; data science at DiDi; and investor at Dragonfly and Gaorong Capital.", "is_active": true, "linkedin_url": "https://linkedin.com/in/richardfzhang", "x_url": "https://twitter.com/richardfzhang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fd03f278f2cd349006ec4f4401e1b71dc41b9886.jpg" }, { "user_id": 1642840, "full_name": "Alan Lu", "title": "Founder/CTO", "founder_bio": "CTO of Integuru", "is_active": true, "linkedin_url": "https://linkedin.com/in/alan-lu-57094517b", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5c7c9401e6e546dd3fe1720d49fd2499e7d9e97f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101982, "title": "Integuru ⚡️ Generate fast, reliable APIs for any platform", "tagline": "We help agents control any external system, with speed and reliability.", "body": "📝 **TL;DR:** [Integuru](https://bookface.ycombinator.com/company/29498) **generates fast, reliable, and high-throughput APIs for any platform.** API calls complete in \\~**3 seconds** with **99.9%+ success**. No RPA or browsers. No data caching needed. Customers are already using fully generated integrations in production at millions of requests per month.\n\nStarting today, Integuru is **publicly accessible** and **free to try**! You can **use it** [here](https://app.integuru.com/).\n\n### **🎬 Integuru in Action**\n\n\n\n### 🎯 **The Problem**\n\nAI agents need to access external platforms, but most platforms don’t offer official, accessible, or comprehensive APIs. **That makes integration the single biggest bottleneck.**\n\nFor building integrations, most companies today use RPA, typically implemented via browser automation. RPA is easy to set up, but many AI companies have now **outgrown their RPA implementations**. They’re running into issues with **latency**, **reliability**, and **throughput**. A single API call can take minutes, and integrations are vulnerable to breaking due to frontend changes.\n\nWith RPA, there’s a relatively low ceiling on the number of concurrent browser instances on the same platform. This limits the number of requests. As customer counts grow, companies require higher throughput, but RPA, by nature, cannot support that demand.\n\nAt the same time, regardless of the approach you take to integrate, **edge cases are among** **the biggest causes of integration breakage**. Edge cases are different branching logic, states, and paths that appear in real-world usage across accounts and scenarios. Integrations that seem fine during testing can completely break in production.\n\nEdge cases can be caused by things like:\n\n* conditionally appearing fields and pages\n* hidden business logic depending on inputs\n* varying server behaviors\n\nTraditionally, testing edge cases must be done manually. Developers must manually trigger as many variations as possible, including changing inputs and stress-testing server limits. This process is often tedious and cannot cover everything, which threatens integration reliability.\n\nToday, we’re announcing a **publicly accessible,** **self-serve product** that solves all these issues and generates robust APIs in minutes.\n\n### 📈 **Integuru’s Solution**\n\nInteguru is an AI platform that **automatically reverse-engineers a website’s backend**. It generates integrations that directly ping website servers, with API docs for each.\n\nInteguru **covers edge cases** that arise during production workloads. It also **auto-heals authentication flows**. Meanwhile, we have a **24/7 on-call maintenance team** available, with **hands-on support** whenever human intervention is needed.\n\nIn real production environments for early-access partners (many of which are YC companies!), requests complete in **\\~3 seconds** with **99.9%+ success**, including deployments **above 1M requests/month/platform**. Requests are **executed live** and achieve low latency without data-caching.\n\nThe workflow is simple with minimal manual involvement:\n\n1. On Integuru, input the website and account you want to integrate with.\n2. Describe your desired feature in natural language. (No need to manually perform or record any actions.)\n3. Integuru proposes an API schema and, upon your approval, generates the endpoint in \\~10 minutes, along with API docs.\n\nEndpoints are **immediately testable** and **production-ready**. For authentication, we support 2FA and will coordinate with you.\n\nWe already support the majority of platforms today. If Integuru can’t yet handle your use case automatically, we’ll evaluate and provide hands-on support at no extra cost.\n\n### **🙋‍♂️ What industries have been using Integuru?**\n\nEarly-access partners are already using generated APIs in production across use cases, processing millions of requests per month with minimal human involvement.\n\n* Healthcare: connecting to EHRs, EMRs, RCMs, CTMSes, insurance portals, etc.\n * We sign BAAs at no cost. You can sign a BAA directly in the product.\n* Logistics: integrating with TMSes, WMSes, ERPs, carrier portals, etc.\n* Proptech: automating property management systems, utilities, permitting software, etc.\n* Legal: controlling practice/case management systems, government portals, etc.\n* Enterprise AI transformation: accessing ERPs, CRMs, CX platforms, internal tools, etc.\n* … and more\n\n## 📚 **Backstory**\n\nOur first [open-source](https://github.com/Integuru-AI/Integuru) agent (4k+ stars) proved demand for robust integrations, but it couldn’t handle the complexity of modern platforms. So we did things that didn’t scale. We manually built and maintained integrations for customers, eventually supporting millions of API calls every month. That gave us a front-row seat to the messy reality of integrations. We tried turning those learnings into a self-serve product, but that version still wasn’t enough, so we kept dogfooding it while building customer integrations. Eventually, we rebuilt the self-serve product from the ground up, using insights we gathered around edge-case coverage, auto-healing, better UX, production reliability, and high-throughput execution. This is the product you see today, and companies are already using it to generate integrations that run reliably in production.\n\n## 🚀 **Try for free today!**\n\nInteguru is **publicly accessible** starting today and **free to try**!\n\nYou can **get started on your own** [here](https://app.integuru.com/), or **schedule an onboarding call [here](https://calendly.com/alan-taiki/integuru-guided-setup)** if you want us to set up everything for free or have specific questions.\n\n![uploaded image](/media/?type=post&id=101982&key=user_uploads/504669/89260a10-1e12-47b1-92b9-2e920e95b3e3)\n\n", "url": "https://www.ycombinator.com/launches/QWs-integuru-generate-fast-reliable-apis-for-any-platform", "votes": 10, "created_at": "2026-05-26T18:33:59.675Z" } ] }, { "id": 29513, "name": "GetCrux", "slug": "getcrux", "former_names": [ "Crux", "getcrux" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e441803edd599221aeb0cd1571b07115de1320cb.png", "website": "http://getcrux.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "GetCrux is the AI Creative Strategist to launch winning ads.\r\n\r\nCreatives have become the biggest lever to win on ad platforms. 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He has previously worked at J&J as an ML Engineer, leading the NLP initiatives to automate sales transcript and was a data consultant at PwC. \n\nHimank has graduated from IIT Bombay. During his college time, he headed Mood Indigo which is Asia's largest student-led festival. It attracts artists from 25+ countries and 140K+ visitors nationwide and has raised $500K in capital from global brands. \n\nExcited about space, spirituality and sports! \n", "is_active": true, "linkedin_url": "https://linkedin.com/in/himank1", "x_url": "https://twitter.com/Himank_jain1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/79bb3d07e6bb8dc499caf5d8dd9752024e130292.jpg" }, { "user_id": 852875, "full_name": "Atharva Padhye", "title": "Founder", "founder_bio": "Atharva is a co-founder at getcrux. Prev a Renewable Energy Engg grad at IIT Bombay. Started Crux while in college and dropped a management consulting job offer at Bain & Co. Prev worked on Risk Analytics at Citibank.\n\nWhile in college, I headed Mood Indigo (Asia's largest college festival) where we built the first-ever metaverse for colleges - a 3D experience to explore live events on the campus that brought in 100K viewership in 2 days.\n\nAvid interest in music & international cuisines.", "is_active": true, "linkedin_url": "https://linkedin.com/in/atharvapadhyecrux", "x_url": "https://twitter.com/almostpaddy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f16635a09955dd31306c9715fe9dd463c83fdd85.jpg" }, { "user_id": 600764, "full_name": "Prabhat Singh", "title": "Founder/CTO", "founder_bio": "Hi! I'm Prabhat, Co-founder of getcrux.ai. I completed my bachelor's at IIT Bombay. Previously, I co-founded a social initiative, Eduride, which helped over 1000 applicants reach their exam centers during COVID-19. I'm passionate about AGI, game design, fintech, and sports.", "is_active": true, "linkedin_url": "https://linkedin.com/in/prabhat7758", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f96e8864418892ff47a6d7b2578958447715759c.jpg" } ], "jobs": [ { "id": 92623, "title": "Founding Creative Strategist / CSM", "url": "https://www.ycombinator.com/companies/getcrux/jobs/7Fv2cQN-founding-creative-strategist-csm", "location": "US / Remote (US)", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$125K - $175K", "equity_range": "0.25% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92914, "title": "Founding Engineer (Full Stack / AI Video) – GetCrux", "url": "https://www.ycombinator.com/companies/getcrux/jobs/pyis2KX-founding-engineer-full-stack-ai-video-getcrux", "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "₹8M - ₹10M INR", "equity_range": "0.50% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "Amazon Web Services (AWS)", "Django", "Google Cloud", "Python", "RabbitMQ", "Redis", "Microservices" ] }, { "id": 93800, "title": "Founding Full-Stack AE", "url": "https://www.ycombinator.com/companies/getcrux/jobs/UbrHFVD-founding-full-stack-ae", "location": "US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $120K", "equity_range": "0.25% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Crux is building GenAI-powered business intelligence tools | TechCrunch", "url": "https://techcrunch.com/2024/02/08/crux-is-building-genai-powered-business-intelligence-tools/", "date": "Feb 08, 2024" } ], "launches": [ { "id": 92586, "title": "GetCrux: AI Creative Strategist to Launch Winning ads", "tagline": "The 10X way to run ads: find what works and make on-brand creatives in minutes", "body": "Creatives are the #1 lever to optimize and scale performance while running ads on Meta, Google, TikTok or any paid media channel.\n\nYet, most growth and creative teams don’t have a data-driven process to iterate on creatives.\n\nThere’s no clear answer for:\n\n* Why do some ads work and others don’t?\n* What are the top objections and concerns users have?\n* What angles and concepts are working for my competitors?\n* How do I learn from these insights and make ads faster?\n\nSo we built the **AI Creative Strategist** that helps you iterate faster and launch winning ads.\n\nhttps://www.youtube.com/watch?v=bLOutqGo4wU\n\nThis is how teams run their creative process with GetCrux:\n\n1. **Surface Insights:** AI watches every ad, finds patterns across creatives, tells you what works and why\n2. **Learn from the Market:** Learns from competitor ads, comments, reviews, and comes up with new angles\n3. **Execute at Lightning Speed:** Converts insights into on-brand and compliant creatives and auto-publish to ad platforms\n\nWe connect with all your data sources:\n\n1. **Ad Platforms** (Meta, Google, TikTok, YouTube, Pinterest, Snapchat, Display, App Campaigns, Applovin, TradeDesk, Inmobi, Criteo, Atari)\n2. **1st Party Data Sources** (Snowflake, Tableau, Metabase, Looker)\n3. **Attribution, MMPs or 3rd Party Tools** (AppsFlyer, Adjust, etc.)\n\n\\\nGrowth and creative teams from large publicly listed enterprises to some of the fastest growing startups, including YC companies iterate 10X faster, and have even scaled 2X at a 10% lower CAC with our ads.\n\nWe’re one of the best teams working on this problem:\n\n* Backed by senior execs from Google and Meta\n* Our 1st product was acquired by one of the largest ad agency\n* Building AI tools for marketers for over 3 years now\n* Best AI engineers from IITs (top 0.01%) with avg age of 23!\n\nIf you’re a growth, paid social, or creative team that wants to iterate faster, we would love to chat. [Talk to the founders](https://calendly.com/atharva-getcrux/30min).", "url": "https://www.ycombinator.com/launches/O5K-getcrux-ai-creative-strategist-to-launch-winning-ads", "votes": 220, "created_at": "2025-07-30T22:43:03.859Z" }, { "id": 86823, "title": "GetCrux: AI Creative Strategist to Launch Winning Ads", "tagline": "Stop guessing which ad creatives work and find winning patterns that reduce CAC", "body": "# **TL:DR;**\n\nCreatives have become the biggest lever on ad platforms. Yet, there is no clear way to figure out WHY something works. You end up guessing and replicating the best performing ad, only to see it fail - high CAC & wasted budget. \n\nOur AI Creative Strategist:\n\n1. **Finds patterns that you miss**: by analysing 1000s of creatives (down to the last pixel) and their performance data\n2. **Builds a winning playbook**: which hooks, messaging, format, music, CTAs, storylines, influencers etc. really work for you\n3. **Recommends what to launch next:** with a detailed creative brief that you can execute instantly\n\n[Talk to us](https://calendly.com/atharva-getcrux/30min) if you want to bring structure & intelligence to creative testing.\n\n\n\n# **Some ads work. Most don’t. Why?**\n\nPicture this. \n\nYou finally find a winning creative and you replicate it - make 5 variations. But almost all of them fail - high CAC and wasted $ on production.\n\nWhy? _Because you didn’t really know WHAT made the ad work!_\n\nCreatives have 100s of moving parts and it’s impossible to find patterns manually. So most marketers make an educated guess, which often leads to unpredictability & low hit rate.\n\n**Guess what works —> Low hit rate —> Poor CAC + wasted $ on prod**\n\n# **Launch winning ads with our AI Creative Strategist**\n\nThe best marketing teams approach creative testing like an assembly line. We make this process simpler:\n\n1. **Find patterns that you miss**: \n\n We go into the depths of every creative - be it an image or a video and break it down into 100s of elements. This is combined with the performance data from your ad account to find what works\n2. **Build a winning playbook**: \n\n Every brand needs a playbook, a checklist that becomes the guiding principle of creative testing. We help you create this in terms of which hooks, messaging, format, music, CTAs, storylines, influencers etc. really work for you\n3. **Get recommendations on what to launch next:** \n\n Based on the patterns found + your brand’s playbook, we come up with a detailed creative brief every week that helps the creative team ship out ads faster than ever\n\nHere are a few examples of questions & hypotheses we answer:\n\n![uploaded image](/media/?type=post&id=86823&key=user_uploads/852875/b96d8dc6-556b-465a-8f09-bd4b049b78de)\n\n# **Who does this work for?**\n\n* Combined ad spend across platforms > $500,000 per year\n* Mid-high creative testing volume i.e. more than 20-25 per month\n* Good enough historical data i.e. more than 6 months running ads\n\n# **How to work with us?**\n\n[Have an intro chat](https://calendly.com/atharva-getcrux/30min) and figure out if you think it could be a good fit for you.\n\nWe are trusted by several Y Combinator startups, large ad agencies in the US with $3B+ spend and brands from a variety of sectors including health and wellness, financial services, jewellery, among others.", "url": "https://www.ycombinator.com/launches/MaN-getcrux-ai-creative-strategist-to-launch-winning-ads", "votes": 128, "created_at": "2025-01-14T16:46:04.071Z" }, { "id": 84654, "title": "getcrux: AI Copilot for Performance Marketing", "tagline": "Optimize Google & Meta Ads with insights & recommendations from our AI Ads Specialist.", "body": "# **TL;DR**\n\ngetcrux helps performance marketers running ads on Google & Meta to optimize for better performance with instant answers & actionable insights. Marketers are overburdened with manual, repetitive tasks like debugging technical issues and tracking campaigns, which leaves no time for planning and executing experiments. With getcrux, they can take the right action at the right time and exceed their performance targets. Watch our demo [here](https://www.youtube.com/watch?v=shohyPZB3sk).\n\n# Why is this a problem?\n\n1. Google & Meta’s combined ad revenues have crossed $350B in 2023, and over 90% of this ad spend is wasted (i.e., shown to audiences that are irrelevant/non-intent )\n2. Performance marketers are struggling to meet performance targets consistently because of changes in platform algorithms, rising competition, and, most importantly, inefficient operations\n3. On average, a performance marketer spends 70-80% of their time doing operational, repetitive tasks like debugging technical issues, creating 10s of reports, and following up with design and compliance teams. They are hardly left with any time to think of the next strategy and execute experiments\n\n# Our Solution\n\nAn AI Ads Specialist that helps performance marketers find the right answers, uncover hidden opportunities, and take the right action at the right time.\n\nHere’s how getcrux can help:\n\n* Get answers to all your questions instantly\n\n![uploaded image](/media/?type=post&id=84654&key=user_uploads/852875/8ccaeb39-21b8-43e3-a59f-59dca6689054)\n\n* Proactive insights that tell you what’s wrong before it’s too late\n\n![uploaded image](/media/?type=post&id=84654&key=user_uploads/852875/2cd7ee25-06e5-47e8-b689-6016093b7a6a)\n\n* Surfacing hidden opportunities & recommending actions\n\n![uploaded image](/media/?type=post&id=84654&key=user_uploads/852875/ae875ea3-8396-4d06-b789-ffea36cecb1a)\n\n# How effective is this?\n\nWe have been working with performance marketing teams of brands & ad agencies that manage more than $3B+ of ad spend.\n\n[Here’s](https://www.getcrux.ai/blog/getcrux-helped-in-saving-18k-month) how we recently helped an ad agency achieve a 2% uplift in performance and saved $18,000 last month for one of their accounts.\n\n# How did we land here?\n\n* The 3 of us started getcrux right after college nearly 2.5 years ago and have known each other for more than 7 years now. We’ve been through more than 15 pivots before shaping getcrux to its current form.\n\n![uploaded image](/media/?type=post&id=84654&key=user_uploads/852875/93a8e554-4195-40d9-b318-354f462e39a1)\n\n_Our team at our newly inaugurated office in Bangalore, India._\n\n* Our history with performance marketing dates back to 2022, when we were building ‘Google Ads for Web3’ to help games built on decentralized networks acquire users. Since traditional channels don’t work for web3 projects, there was a need for a predictable and trackable way of marketing.\n* ⁠When we got into YC in W24, we were trying to build a general-purpose AI Copilot for analytics but soon realized that most of our customer demand was coming from performance marketers. So, we decided to focus our attention ONLY on performance marketers.\n* Our vision is to make data analysis faster, accessible, and explainable for every non-technical user. Imagine Glean AI but for structured data.\n\n# Our Ask\n\nWe’re looking to get our product into the hands of as many performance marketers as possible. If you know someone who fits this criteria, please help us get in touch with them. Drop a DM or email at [atharva@getcrux.ai](mailto:atharva@getcrux.ai).\n\nCriteria: Anyone who runs ads on Google & Meta\n\n* Performance marketers running ads for their brand\n* Founder/CMOs running ads on their own\n* Ad agency founders and freelancers running ads for clients", "url": "https://www.ycombinator.com/launches/M1O-getcrux-ai-copilot-for-performance-marketing", "votes": 210, "created_at": "2024-10-10T13:51:00.229Z" } ] }, { "id": 29639, "name": "Callback", "slug": "callback", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/95750da7b7330678c36367adeb82ef6c7a2f5049.png", "website": "https://getcallback.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Leading enterprises use Callback to manage complicated, real-world workflows. We integrate with your systems, not the other way around. Our platform serves as an auditable and permissioned system of record for your operations.", "one_liner": "Effortless AI automation for business operations", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1723590693, "tags": [ "AIOps", "B2B", "Automation", "Operations" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 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/callback", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/callback.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/callback-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/95750da7b7330678c36367adeb82ef6c7a2f5049.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 45302, "full_name": "Alan Xie", "title": "Founder/CEO", "founder_bio": "Alan is the co-founder and CEO of Callback. He was previously a product manager at Microsoft and AWS and the co-founder of an entertainment analytics startup. He studied CS at Harvard and Columbia and has an MBA from Harvard Business School.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alanrxie", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/898cddcce840c9dcdfe73a6872cd97831e96679d.jpg" }, { "user_id": 503383, "full_name": "Paulo Bautista", "title": "Founder (COO)", "founder_bio": "Paulo is the co-founder & COO of Callback. He previously managed thousands of delivery drivers and call center agents in the Philippines holding roles like Director of Operations and Head of BizOps. Paulo holds an MBA from Harvard Business School. \n", "is_active": true, "linkedin_url": "https://linkedin.com/in/paulobautista", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5caaccc169115a1b0b65223e769c202cebb62d87.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83765, "title": "Callback - AI business process outsourcing", "tagline": "A faster and more accurate AI-native BPO.", "body": "**TLDR**: [**Callback**](https://getcallback.ai) **is the first AI-native BPO built using a modern tech stack.**\n\nOur software platform helps our customers stay focused on their core business by automating their ops processes with humans in the loop. We’ve handled tasks such as image labeling, invoice extraction, and PDF report parsing — with greater accuracy and speed than traditional BPOs or off-the-shelf software solutions. \n\n**Our team**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeL3DPnORZSaPrv35S-22CdX2ZrxP9_EvxYzclxFTf4dxbob11k6g3VvRBAZcRLO3nXcu_LDpZmaZ_kKdYx00-KBKrk8uzJ5GqjASkFm05A_BDtSjGfDWMqZ16w2IP469vR0CfuGP2RHou2QoZ6rHAqPv0?key=rS2cFpGt_BWtrYrVA_wlvw)\n\n[Alan Xie](https://www.linkedin.com/in/alanrxie/) was a senior product manager at AWS and Microsoft, where he built enterprise productivity software used by hundreds of millions of people. He holds computer science degrees from Harvard and Columbia, as well as an MBA from Harvard Business School.\n\n[Paulo Bautista](https://www.linkedin.com/in/paulobautista/) was the first employee and Head of Business Operations at Ninja Van in the Philippines, where he managed a team of several hundred delivery couriers and grew the business to 8 figures in annual revenue. Before YC, he ran an 800-person call center as the Director of Operations and Strategy for a late-stage restaurant tech startup. Paulo studied Business Economics at the University of the Philippines and holds an MBA from Harvard Business School.\n\n**Why are we building Callback?** \n\nAs companies grow, they naturally accumulate process overhead involving manual, repetitive operations tasks. Outsourcing these processes to BPOs requires months of coordination, training, and QA — friction that only the largest multinational corporations can tolerate. \n\nWe empower **companies of all sizes** to offload their manual processes onto our platform. Callback is a software layer for business operations that makes your processes more **transparent**, **efficient**, and **cost-effective**. \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXerz8QHBBJ7s8VeO6FMk5ZD43yxGNXTCfbO727NYabKPet-cckWwJEbP9eKkHDAdv-JUu1mnzYrC-gxCNxYgZCUp4jt4AOILGazXQLoCIG3SsbL5JMT73ZuzGViPAJyknEVRvM-UeYNTHAvwBnXavIU_igy?key=rS2cFpGt_BWtrYrVA_wlvw)\n\nOnboarding onto our platform is straightforward:\n\n1. Customers define a specific process workflow as a **Blueprint**\n2. They execute **Jobs** based on their Blueprints\n3. Jobs rely on pre-defined **automation** as well as **human QA**\n\nDo you have any ops processes you wish you could delegate? Unstructured data that you need to turn into a specific structured format? Email us at [founders@getcallback.ai](mailto:founders@getcallback.ai) or book time with us [here](https://calendly.com/paulo-getcallback/can-you-do-this-for-me).", "url": "https://www.ycombinator.com/launches/Ln3-callback-ai-business-process-outsourcing", "votes": 96, "created_at": "2024-09-04T21:33:17.602Z" } ] }, { "id": 29643, "name": "Sage Care", "slug": "sagecare", "former_names": [ "Clara", "Sage" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8391ef28b31f763fdf577fc8631f259459023eb8.png", "website": "https://sagecare.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Sage is a HIPAA compliant, AI-native communication platform that makes home care agency client-intake handling smarter, faster, and more reliable.\r\n\r\nTeams that use Sage can save over 100 minutes of busywork per prospect, freeing up their teams to manage a larger, faster growing business.", "one_liner": "Automating home care agency operations with AI", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1722734654, "tags": [ "AIOps", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "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/sagecare", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/sagecare.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sagecare-ai", "x_url": "", "fb_url": "https://www.facebook.com/HomeCareNearMe/", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8391ef28b31f763fdf577fc8631f259459023eb8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 1865044, "full_name": "Jon Levinson", "title": "Founder/CEO", "founder_bio": "Supercharging home care operations with AI at Sage Care. Previously product leader at Uber. Tufts 2013.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jonlevinson1/", "x_url": "https://x.com/levinsonjon", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3cef75f29ab94e8713551046472dd4d0a06c80b6.jpg" }, { "user_id": 1545228, "full_name": "Ian Gillis", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO @ Clara", "is_active": true, "linkedin_url": "https://linkedin.com/in/ian-gillis-3a503837", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a54d98c343e8a7e3b1fa57e274db0abd221f9286.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 82720, "title": "🧓 Clara - Better home care for seniors", "tagline": "Marketplace software for discovering, hiring, and managing in-home caregivers", "body": "# **TL;DR**\n\nClara is a home care marketplace that makes it easy for families to find and employ their ideal caregiver.\n\nOur platform uses AI to match customers with the best possible caregiver and automates compliance with built-in payroll, tax, and insurance support, all for 15-25% less than a home care agency.\n\nClara is currently live in the SF Bay Area. Sign up today at [**clarahomecare.com**](https://www.clarahomecare.com/)\n\n![uploaded image](/media/?type=post&id=82720&key=user_uploads/1865044/7f7548dc-0c0c-4f41-b967-1b48178fb055)\n\n---\n\n# _____________________\n\n# **The Problems with Home Care**\n\n**_🧑‍⚕️🌊  More Americans than ever before need care_**\n\n* **Silver Tsunami -** 11,000 Americans will turn 65 every day from now through 2027. 69% of those will require long-term care, for an average of 3 years (HHS). \\~88% of them would prefer to age at home rather than in a facility (AARP)\n* **Care work is the fastest growing profession in the U.S.**, projected to add >1M jobs by 2028. Job growth in this sector is greater than the second and third U.S. occupations with the most job growth combined (BLS)\n\n**_💸  Care costs for families are high and not correlated with quality_**\n\n* Non-medical care is **not covered by Medicare** or standard health insurance plans\n* The average out-of-pocket cost of a home health aide in SF today is [**$102,960/year**](https://www.genworth.com/aging-and-you/finances/cost-of-care)\n* Most care is delivered by **home care agencies that take 30-50% margin**, taking advantage of unsophisticated consumers who rely on referrals from overworked case managers/social workers\n* Care recipients often suffer from high caregiver turnover, with **families reporting >100 caregivers cycling through their homes**\n* Fed up with agencies, many families pay independent care workers cash under the table, opening them up to **costly tax penalties and significant personal liability**\n\n**_😞 Caregivers are underpaid and disempowered_**\n\n* Avg. **hourly wages for care workers total just $14-$16/hr**. 45% of care workers live at, or near poverty.\n* **Industry-wide turnover is** [**\\~80%**](https://homehealthcarenews.com/2024/07/home-cares-industry-wide-turnover-rate-reaches-nearly-80/) due to poor pay, difficult working conditions, and unpredictable schedules\n\n---\n\n---\n\n---\n\n# _____________________\n\n### **The Solution**\n\n# **Clara helps families legally hire and manage caregivers, without the use of agency**\n\n![uploaded image](/media/?type=post&id=82720&key=user_uploads/1865044/36bde3e7-9041-47e2-8b59-ff2416e2aa6e)\n\n**Our platform:**\n\n* 👫 Uses AI to match families with local Home Health Aides (HHAs), Certified Nursing Assistants (CNAs), or experienced companion caregivers, all thoroughly vetted and background-checked\n* 📝 Makes 100% legal, on-the-books employment frictionless by automating payroll, taxes, and insurance\n* 📱Helps caregivers deliver the best care possible, while keeping families in the loop with gen-AI care management features\n\n**Our approach:**\n\n1. Improves care quality, consistency, and transparency for care recipients and their families\n2. Increases take-home pay and stability for caregivers, while providing access to key benefits like unemployment insurance and social security\n\nThat’s why our customers call us “refreshing”, and our caregivers call us “too good to be true”\n\n![uploaded image](/media/?type=post&id=82720&key=user_uploads/1865044/6982a009-931e-411e-a09f-757acae0a0d5)\n\n_Jon and Lydia, a Clara care recipient_\n\n---\n\n---\n\n# _____________________\n\n# **Our Team**\n\n[Jon](https://www.linkedin.com/in/jonlevinson1/) and [Ian](https://linkedin.com/in/ian-gillis-3a503837) met as Product and Engineering management counterparts at Uber, where they launched and grew Uber Direct, a new line of business, from $0 —> \\~$1B in revenue.\n\nWhen Jon and his family faced the frustrations of finding and managing care for his father, he reached out to Ian to collaborate on a new approach. Leveraging their combined 20 years of experience building lovable consumer and marketplace tech products, they reimagined home care in America.\n\n![uploaded image](/media/?type=post&id=82720&key=user_uploads/1865044/cdcf2927-89be-4749-a1d5-c348067ece95)\n\n---\n\n---\n\n---\n\n# _____________________\n\n# **🙏 How you can help us**\n\n1. If you know any fantastic caregivers looking for better home care employment opportunities, kindly refer them to us at \n2. We’d also love **introductions to Social Services Directors**, Case Managers, or other professionals with similar roles at post-acute rehab/skilled nursing facilities in the SF Bay Area. We’re building tooling to make their lives easier and would love early partners\n3. Show us some ❤️ by liking/following us on [Facebook](https://www.facebook.com/HomeCareNearMe/), [Instagram](https://www.instagram.com/clara_home_care/), and [LinkedIn](https://www.linkedin.com/company/clarahomecare)\n\n# _____________________\n\n# **💝 How we can help you**\n\nTo celebrate our launch we’re offering 50% off our service fee for the YC community. If you (or someone you know) is looking for a caregiver, or wants to explore new caregiving options for an aging loved one in the Bay Area, send them our way! Just have them complete our intake form at [clarahomecare.com,](http://clarahomecare.com) and send an email to [yc@clarahomecare.com.](mailto:yc@clarahomecare.com) Mention this offer and we’ll take 50% off their first 6 months.", "url": "https://www.ycombinator.com/launches/LWC-clara-better-home-care-for-seniors", "votes": 118, "created_at": "2024-08-05T17:36:05.806Z" } ] }, { "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": 29676, "name": "Elevate", "slug": "elevate-2", "former_names": [ "Elev4te" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/de959e87a5bda5b32dabf7dc904953d947ff5842.png", "website": "https://www.useelevate.dev/", "all_locations": "New York City, NY, USA", "long_description": "Elevate is bringing AI to private equity-backed roll-ups. \r\n\r\nFor example, one of our customers is Guardian Restoration Partners, which is backed by Alpine Investors, the leading roll-up focused private equity firm. In three months, we integrated 10 acquisitions and enabled them to pilot AI agents built on top of our data warehouse. \r\n\r\nWe know this problem personally. Before Elevate, Scott was a Vice President at a $15B private equity firm where he was leading a roll-up. Steve and Jeff are both software engineers with backgrounds across finance, big tech, and start-ups. The founding team has been friends for over a decade from their Duke undergraduate days. ", "one_liner": "Automated AI data integrations for roll-ups", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1718146562, "tags": [ "AIOps", "Finance", "B2B", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/elevate-2", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/elevate-2.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/elev4te-ai", "x_url": "https://x.com/useElevateAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Elev4te-AI", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/de959e87a5bda5b32dabf7dc904953d947ff5842.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": 1977390, "full_name": "Scott Cara", "title": "Founder/CEO", "founder_bio": "Scott is the co-founder and CEO of Elevate AI. \n\nScott was previously a private equity investor at Sycamore Partners where he partnered with \nc-suite executives at leading companies to drive growth. Prior to Sycamore, Scott was a management consultant at Bain & Co. \n\nScott studied Computer Science and Mathematics at Duke University and holds an MBA from Harvard Business School. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/scott-cara-31829041", "x_url": "https://twitter.com/scara29", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e4dea25fd46cb2e2d9d206eb935a3ab620819877.jpg" } ], "jobs": [ { "id": 93042, "title": "Forward Deployed Engineer (FDE)", "url": "https://www.ycombinator.com/companies/elevate-2/jobs/FFGZvQq-forward-deployed-engineer-fde", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "$130K - $170K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "SQL", "Data Warehousing", "ETL", "Data Modeling", "Data Analytics" ] }, { "id": 93166, "title": "AI Deployment Lead", "url": "https://www.ycombinator.com/companies/elevate-2/jobs/KyJ5rH5-ai-deployment-lead", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "$110K - $150K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "SQL", "Data Warehousing", "Data Modeling", "Data Analytics" ] } ], "news": [], "launches": [ { "id": 93226, "title": "Elevate - AI-powered data management for roll-ups", "tagline": "Providing private equity-backed companies with better data and access to AI tools", "body": "[Scott](https://www.linkedin.com/in/scott-cara-31829041/) here from [Elevate](https://www.useelevate.dev/), showcasing our AI-powered data management for roll-ups.\n\n# **⚠️ Problem: Private equity-backed businesses struggle to use AI because of data challenges.**\n\n📉 75% of M&A deals underperform due to **integration** challenges \n\n🔥 #1 cause of M&A integration problems is **data** fragmentation \n\n🤖 #1 hurdle blocking companies from using AI is **data** quality – #2 is **data** privacy & protection\n\n# 🚀 **Solution:** **Elevate’s AI-powered data management platform acts as a translator enabling PE-owned businesses to use AI in their daily operations.**\n\nOur platform helps PE-backed acquisitive companies (aka roll-ups) reach for data nirvana through:\n\n1. **Migrations:** Transitioning data from legacy systems to the core tech stack,\n2. **Warehousing:** Consolidating, cleaning, and enriching data across acquisitions and systems, providing a single source of truth, and\n3. **AI Services:** Unlocking agentic AI automations built on top of clean warehouse data.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdhAUwhGszwvyPlBFEYAfccNMFkNhz9tFht9DK0R7Mn8efaeTgqsJiQHHFbvf8pZM5f2k76wHg75gJpT49XnlnomjZo6kfiN74m4yTCrGcUYzi-tncfAfe-DlchOMmNSR_HHxeo8w?key=d4EvylbdqETj4Y-psv5-Bw)\n\nBut don’t trust us, ask our customers. \n\nhttps://youtu.be/H1sDiTtCV44\n\n# 🧑‍💻 **Team: Expertise at the intersection of finance x tech.**\n\n[Scott](https://www.linkedin.com/in/scott-cara-31829041/) (CEO) was most recently a Vice President at Sycamore Partners, a $10B+ AUM private equity firm. Scott is also a Harvard Business School grad where he hob-knobbed with too many finance bros + gals. \n\n[Steve](https://www.linkedin.com/in/steve-mazzari-38b470b1/) (CTO) was a software engineer at Meta, the ~~social media giant,~~ ~~metaverse pioneer,~~ AI talent acquisition firm. He has also seen this movie before as a founding engineer at multiple start-ups. \n\n[Jeff](https://www.linkedin.com/in/jeffrday/) (CPO) was a software engineer at a $17B+ hedge fund, before giving into the crypto-craze. His Circle stock sustains us. \n\nThe three founders have known each other for over a decade since their CS undergrad majors together at Duke in the not-so-dirty-anymore Durham, NC. \n\n# **🎺 Asks:**\n\n**PE / roll-up connections:** Find your friends in private equity and tell them about this cool new AI solution that will make their portfolio companies better, them richer, and their lives less miserable.  \n\n**AI solutions:** If you are building an AI tool that could be useful for PE-backed companies (👋 that’s \\~all of you!), reach out + let’s chat to see if there could be a use case for our customers. \n\nContact us: [hello@useelevate.dev](mailto:hello@useelevate.dev) \n\n**Elevate**dly Yours, \n\n[Scott](https://www.linkedin.com/in/scott-cara-31829041/), [Jeff](https://www.linkedin.com/in/jeffrday/), and [Steve](https://www.linkedin.com/in/steve-mazzari-38b470b1/)\n\n![uploaded image](/media/?type=post&id=93226&key=user_uploads/1977390/a54f9874-662a-4886-80d7-fb0bf1954f08)\n\n", "url": "https://www.ycombinator.com/launches/OFe-elevate-ai-powered-data-management-for-roll-ups", "votes": 32, "created_at": "2025-08-21T01:30:29.370Z" } ] }, { "id": 29698, "name": "AutoPallet Robotics", "slug": "autopallet-robotics", "former_names": [ "Anteatr Robotics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2f0c4ca0e1ee62abec263fe32fc601c69e08139.png", "website": "https://autopallet.bot", "all_locations": "San Francisco, CA, USA", "long_description": "We’re building the next generation of warehouse robotics.\r\n\r\nIn the US today, retailers spend approximately $10B per year paying human laborers to pick up and move cardboard boxes in warehouses. Existing solutions for automating this are expensive and difficult to install, which is why manual operation is still so prevalent.\r\n\r\nOur solution is different. We make swarms of small mobile robots that install into existing warehouses to provide a low-cost and robust automation solution for case picking and mixed-SKU palletization. Our novel technology allows these robots to be installed and operate at significantly lower cost than existing solutions while being both flexible and robust.", "one_liner": "We make robots that move boxes in warehouses", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1723496700, "tags": [ "Hard Tech", "Machine Learning", "Warehouse Management Tech", "Swarm Robotics", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "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": "Eric and Nathan met at Olin College, where they worked on 15 group projects together. " } ], "url": "https://www.ycombinator.com/companies/autopallet-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/autopallet-robotics.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/autopallet-robotics/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/AutoPallet/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2f0c4ca0e1ee62abec263fe32fc601c69e08139.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": 242906, "full_name": "Nathan Yee", "title": "Founder/CEO", "founder_bio": "Nathan is the co-founder and COO of AutoPallet Robotics.\n\nAt 18, he graduated as the valedictorian of College of Alameda and then studied Engineering with Computing at Olin College where he met Eric. He has since built ML models for MBARI, consulted for the DIU (xView2) and WashU (drug discovery), and built core software for lab automation robotics at Trilobio.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nathanielyee/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6e1472399a54fec10ff193ce2453753f7c5170c4.jpg" }, { "user_id": 1979497, "full_name": "Eric Miller", "title": "Founder/CTO", "founder_bio": "Eric is the co-founder and CEO of AutoPallet Robotics.\n\nAfter graduating from Olin College in 2019, he led the Subject Tracking and Autonomy Infrastructure teams at Skydio, rapidly growing from individual contributor to lead a team of 6 engineers.\n\nEric is a multidisciplinary robotics engineer with significant experience building modern robotics stacks, from hardware and electronics through perception and high-level software.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/olin-eric/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4fa34c4d02dcef337053aafb9f45b11b7a7c2531.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83238, "title": "🤖 AutoPallet Robotics: The future of case picking in warehouses", "tagline": "AutoPallet Robotics uses swarms of hundreds of mobile robots to do case picking in existing warehouses.", "body": "# TL;DR\n\n* AutoPallet Robotics unlocks automated case picking for existing warehouses. Our novel system delivers rapid ROI by leveraging the current infrastructure to deploy swarms of hundreds of small, agile, mobile robots.\n* Want to get in touch? [**connect@autopallet.bot**](mailto:connect@autopallet.bot) or [send us an inquiry](https://forms.gle/YT1XLadSpWaKAa668)\n\n![uploaded image](/media/?type=post&id=83238&key=user_uploads/242906/61c0e05b-c2d2-470a-8248-dcb394bbaeaa)\n\n# The Team\n\n![uploaded image](/media/?type=post&id=83238&key=user_uploads/242906/0e93dfda-da4f-43f2-8170-dcbef1c80b90)\n\n**Nathan and Eric** met at Olin College of Engineering 9 years ago, where they collaborated on over 15 projects.\n\n**COO** - [Nathan](https://www.linkedin.com/in/nathanielyee/) brings four years of experience in machine learning. In his previous position, he worked on robot software and explored heuristic-based and RL-based methods for multi-robot scheduling.\n\n**CEO** - [Eric](https://www.linkedin.com/in/olin-eric/) has extensive experience creating hardware, electronics, and software for modern robotics systems, including five years at Skydio, founding and growing the Autonomy Infrastructure team.\n\n# The Problem\n\n**Case picking for order selecting**, a critical task in the supply chain for grocery stores, retail, and restaurants, remains largely manual in U.S. warehouses. We estimate that **over 30 billion cases** are manually moved between pallets annually, resulting in labor costs exceeding **$10 billion** each year.\n\nCurrent automation solutions are prohibitively expensive and fall into two main categories:\n\n1. **Build a new warehouse** with extensive conveyor belt systems, industrial robot arms, and high-density case storage. Costs range from **$100M to $350M per warehouse**.\n2. **Install large mobile robots** that directly replace humans in existing warehouses at a cost of **$300k to $500k per unit**. This high capital expenditure and long ROI period make them infeasible for many businesses.\n\n## Our Solution Is Fundamentally Different\n\nWe've developed a way to retrofit existing warehouse infrastructure with swarms of affordable, agile robots to automate the order-selecting process. This approach eliminates the need to rebuild warehouses from scratch or invest in expensive large mobile robots. We are designing our system to:\n\n* **Meet or exceed** your current throughput—our robots work in swarms, easily picking tens of thousands of cases per shift.\n* Ensure **resilience** through a decentralized swarm that continues operating even if several robots fail.\n* Optimize **multi-stop deliveries** and create **maximally dense pallets** using an **AI-powered** pallet-building algorithm.\n* Deliver a typical ROI in **less than** **12 months**.\n\n## How You Can Help\n\nWe’re actively seeking **partnerships and collaborations** to propel our mission forward. If you or anyone in your network is interested in exploring opportunities or learning more, we’d love to connect! We’re especially interested in engaging with:\n\n* Retailers and 3PLs operating distribution centers\n* Grocery and Broadline Foodservice Distributors\n\nIf this resonates with you or someone you know, please don’t hesitate to reach out! [**connect@autopallet.bot**](mailto:connect@autopallet.bot) or [send us an inquiry](https://forms.gle/YT1XLadSpWaKAa668)", "url": "https://www.ycombinator.com/launches/LeY-autopallet-robotics-the-future-of-case-picking-in-warehouses", "votes": 27, "created_at": "2024-08-20T18:44:31.152Z" } ] }, { "id": 29735, "name": "FINNY AI", "slug": "finny-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f2d0e659d5d03f52a35513c7fe53a3701c771832.png", "website": "https://www.finny.com/", "all_locations": "New York City, NY, USA", "long_description": "FINNY is the AI-native organic growth engine for financial advisors, focused on helping them grow their practices\r\n \r\nOur goal is to empower financial advisors to reach the right potential clients at the right time, with the right message. We are building a world where anyone who wants financial advice can connect with the right advisor, while helping advisors ensure organic growth, the most existential problem advisors face. \r\n \r\nThe organic growth process has historically been highly inefficient and full of noise. Advisors often waste 60+ hours of business development to convert 1 new client. \r\n\r\nAt FINNY, we are certain we can do better with AI. With our tool, advisors can:\r\n- Identify prospects within their target niche, aggregating thousands of data points per lead\r\n- Prioritize prospects based on their predicted likelihood of converting using F-Score, a score unique to each advisor and prospect pair\r\n- Automate the outreach and meeting scheduling with their high priority prospects\r\n\r\nIn essence, FINNY does all the rote work for the advisors, letting them focus on what actually matters: the client relationship.", "one_liner": "The organic growth engine for financial advisors ", "team_size": 35, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1716852989, "tags": [ "Fintech", "Machine Learning", "Finance", "Sales Enablement", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/finny-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/finny-ai.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/finnyai/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/finny-6acf", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f2d0e659d5d03f52a35513c7fe53a3701c771832.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 1755270, "full_name": "Eden Ovadia", "title": "Founder/CEO", "founder_bio": "Eden is the Co-founder and CEO of FINNY.\n\nShe studied Software Eng. at McGill University with a focus on ML. Prior to starting FINNY, Eden was at BCG where she worked in Private Equity & Financial Services. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/edenovadia", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1cb89e9ce9be37246ecb1f3e0e66556756e6db01.jpg" }, { "user_id": 1754854, "full_name": "Theodore Janson", "title": "Founder/CTO", "founder_bio": "Theo is the co-founder and CTO at FINNY. \nBefore FINNY, Theo worked as an applied ML engineer in an early Fintech startup, leading the development of statistical models and LLMs for automated financial analysis. He has also held research roles in LLM explainability and particle physics. Theo has degrees in electrical engineering and CS from Ecole Polytechnique (X) and McGill University.\n\n\n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/theodore-janson", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b30d06543a1a116e358a9ec48f753d7e759411e2.jpg" }, { "user_id": 1630058, "full_name": "Victoria Toli", "title": "Founder", "founder_bio": "Victoria is the co-founder and CPO of FINNY, an AI-driven growth engine for financial advisors. \n\nBefore FINNY, she was a Product Manager at Uber, where she led growth and international expansion for Uber One. She holds a BS in Symbolic Systems, Artificial Intelligence from Stanford. Victoria grew up in Athens, Greece. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/victoria-toli/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9493c48a901d6d10732682c7f6b2b657f49c8953.jpg" } ], "jobs": [ { "id": 92443, "title": "Product Engineer ", "url": "https://www.ycombinator.com/companies/finny-ai/jobs/diUrCMS-product-engineer", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 110017, "title": "Senior Account Executive, Enterprise ", "url": "https://www.ycombinator.com/companies/finny-ai/jobs/ZpW4jSD-senior-account-executive-enterprise", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "", "experience": "6+ years", "visa": "Will sponsor", "skills": [] }, { "id": 110018, "title": "Growth Marketing Manager ", "url": "https://www.ycombinator.com/companies/finny-ai/jobs/tVk0vEd-growth-marketing-manager", "location": "New York, NY, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$140K - $170K", "equity_range": "", "experience": "6+ years", "visa": "Will sponsor", "skills": [] }, { "id": 110019, "title": "Growth Strategist, Enterprise ", "url": "https://www.ycombinator.com/companies/finny-ai/jobs/woHEz5n-growth-strategist-enterprise", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$130K - $150K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [ { "title": "WealthTech Roundup: FINNY Partners With Osaic for AI", "url": "https://www.wealthmanagement.com/artificial-intelligence/wealthstack-roundup-finny-partners-with-osaic", "date": "Jan 29, 2026" }, { "title": "FINNY closes $17M Series A to help RIAs fight organic growth squeeze - InvestmentNews", "url": "https://www.investmentnews.com/fintech/finny-closes-17m-series-a-to-help-rias-fight-organic-growth-squeeze/263644", "date": "Dec 18, 2025" }, { "title": "FINNY Adds Multi-Channel, Automated Prospect Outreach Feature", "url": "https://www.wealthsolutionsreport.com/finny-adds-multi-channel-automated-prospect-outreach-feature/", "date": "Aug 07, 2025" }, { "title": "YC-backed Finny is using AI to match financial advisors with prospects | TechCrunch", "url": "https://techcrunch.com/2024/12/11/yc-backed-finny-helps-financial-advisors-find-new-clients/", "date": "Dec 11, 2024" }, { "title": "Finny and the Great AdvisorTech Acceleration | Wealth Management", "url": "https://www.wealthmanagement.com/technology/finny-and-great-advisortech-acceleration", "date": "Aug 12, 2024" } ], "launches": [ { "id": 82467, "title": "⚡FINNY - Supercharge organic growth for Financial Advisors", "tagline": "We help independent financial advisors find and convert new clients, using AI. ", "body": "Hey everyone, we are Theo, Eden, and Victoria — the founders of [FINNY](https://www.finnyai.com/). We help independent financial advisors find and convert new clients, using AI.\\\n\\\nIf you’re confused as to why the three of us are so excited about building for financial advisors, keep reading.\n\n![uploaded image](/media/?type=post&id=82467&key=user_uploads/89898/9cd181f2-59e6-4458-b5c9-250b9399ee43)\n\n# 🧑‍🔬 **The Team**\n\n**🏦The Sales Whisperer**  \n\n[Eden](https://www.linkedin.com/in/edenovadia/) was most recently at BCG NYC, where she primarily worked in the Tech, Financial Institutions & Private Equity practices. She holds a BEng in Software Engineering from McGill (ML focus). \n\n**👾The Model Man** \n\n[Theo](https://www.linkedin.com/in/theodore-janson/) worked as a ML engineer at an early Fintech startup and AI researcher in Explainable ML. He holds a BEng in EE and Math from McGill and MS in AI from Ecole Polytechnique, Paris.\n\n**👩🏼‍🎨The Visionary** \n\n[Victoria](https://www.linkedin.com/in/victoria-toli/) came from Uber, where she led membership growth for Uber One as a Product Manager. She holds a BS from Stanford in Symbolic Systems (AI focus). \n\n# **🫶🏻 Why are we obsessed with Financial Advisors?**\n\n* **The Great Wealth Transfer** - $80T of wealth will be transferred from the Boomer/Silent Gen to the next generation over the next 20 years. \n* **Retiring advisors** - 45,000 financial advisors are over the age of 65 in the US, managing $3T in wealth that will change management when they retire.\n* **Wealth creation** - Wealth is being created in unprecedented ways (E.g., Innovation, Entrepreneurship, Social media, Racial wealth gain), but the institution serving the wealth has not changed\n* **Consolidation** - Private equity driving consolidation of a historically long tail of independent advisors\n* **Price Inertia:** Financial Advisors are used to paying 25 bps annually IN PERPETUITY for referrals. That’s $200B annually from the wealth transfer alone.\n\n \n\n# 💀 **The Problem FINNY is Solving**\n\nFinancial advisors manage >$100T in assets globally. Yet, bringing on new clients is highly inefficient. Their best bet is to repurpose horizontal solutions - like Linkedin, ZoomInfo, and Pitchbook - to create long and noisy prospect lists. However, without a proper way to qualify these leads or even reach their particular niche at scale, advisors end up spending an average of **58 hours** going after the wrong, often unqualified prospects before converting one new client.\n\n![uploaded image](/media/?type=post&id=82467&key=user_uploads/1755270/ea1b3592-dc3a-4581-86ad-447709eec5bf)\n\n# 💡 **The Solution**\n\nFINNY is reimagining organic growth for financial advisors with AI. Our first product, a multi-channel Sales agent, allows users to sit back and relax while it goes “out in the wild” (aka our massive database of high-net-worth individuals) and prospects for them. It’s like your intern, except it’s always on, running in the background.\n\nFINNY’s goal is for advisors to wake up in the morning to meetings with prospects on their calendars, entirely booked by FINNY. Our value proposition is three-fold: \n\n1. **_Prospect identification:_**\n * _We identify prospects within their target niche, aggregating thousands of data points per lead and constantly monitoring for life triggers_\n\n  \n2. **_Prospect prioritization_:**\n * We prioritize prospects based on their predicted likelihood of converting, a score unique to each advisor and prospect pair\n3. **_Prospect outreach & engagement:_**\n * _We automate the outreach and meeting scheduling with the high-priority prospects, intelligently selecting the optimal channel for the specific prospect_\n\n![uploaded image](/media/?type=post&id=82467&key=user_uploads/1755270/2df42888-af79-4d31-a06f-a153ff0487e7)\n\n# ✅ **Progress so far**\n\nIn just 3 months, we have:\n\n* Released the **1st** and **2nd iteration** of the product to 15 advisory firms.\n* Grown revenue by >**11x** MoM.\n* Got **70** firms to join our waitlist, without any acquisition efforts or outbound.\n* **Won** Morningstar’s Fintech Showcase last month.\n* Have been getting some **buzz**! [Here](https://www.businesswire.com/news/home/20240724776742/en/Future-Proof-Announces-Groundbreaking-Lineup-of-Fintech-Demo-Drop-III-Finalists) and [here](https://www.downtownjoshbrown.com/p/future-financial-advice-already-993f).\n\n \n\n![uploaded image](/media/?type=post&id=82467&key=user_uploads/1755270/5a150faf-0c65-424a-96f1-90f6e4c79b94)\n\n# **❓One Ask for You (If you made it this far)**\n\nIf you ever thought about working with a financial advisor, evaluated one, currently work with one _(or want to get matched with one_ **😉**_),_ we’d love to talk to you. Book 15 min with us [here.](https://calendly.com/eden-finny/finny-intro-call) If you’re in SF, we’ll buy you a coffee. If not, let’s call it an IOU.", "url": "https://www.ycombinator.com/launches/LS7-finny-supercharge-organic-growth-for-financial-advisors", "votes": 62, "created_at": "2024-07-26T15:05:12.600Z" } ] }, { "id": 29952, "name": "Ficra", "slug": "ficra", "former_names": [ "SignOp", "Ficra", "Ficra (SignOp)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0dc17fe22b167d4939fbd99c8dd3dcf2bb877cd0.png", "website": "https://ficra.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Ficra automates workflows for SMBs and Mid-sized businesses and firms.", "one_liner": "Automating workflows.", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1725388449, "tags": [ "B2B", "Automation", "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": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ficra", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/ficra.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ficra-ai-yc-s24/", "x_url": "https://x.com/ficra_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0dc17fe22b167d4939fbd99c8dd3dcf2bb877cd0.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": 1011051, "full_name": "Omar El-Sadany", "title": "Founder", "founder_bio": "Co-Founder at Ficra; 3x founder; engineer.\n\nPreviously, Omar founded Sawa, a venture-backed platform increasing opportunity and transparency in Web3 and AI. An early Tech Lead at Voicea (acquired by Cisco), he developed core AI assistant features, like patented chat-based interaction and voice commands. Earlier, he was a software engineer at Apple, where he was recruited following the success of his mobile app, flagtag.\n\nHolds an MBA from Stanford; BS in Computer Science from Carnegie Mellon.", "is_active": true, "linkedin_url": "https://linkedin.com/in/omar-el-sadany", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4f31d46afab7a5ad41bacf7221855916a2f9acad.jpg" }, { "user_id": 1946590, "full_name": "Mohammed Abid", "title": "Founder", "founder_bio": "Co-founder Ficra; 3x founder; designer.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mohammed-abid-40777b16/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd030015159a45d1573c264b4876787a37867f8f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83759, "title": "Ficra: A visual map of every ad, email, flow, and screen your users see", "tagline": "Automatic, realtime visibility into your user journey; a source of truth for every marketing and product funnel.", "body": "**tldr:** Ficra is a real-time, visual map of your users’ journeys, both inside and outside your product. Our AI automatically gives you real-time visibility into marketing and product funnels, including every ad, email, A/B test, push notification, and in-app flow your users see.\n\n[Get access now](https://ficra.ai/)— we'll get you up and running fast.\n\n# \n\n![uploaded image](/media/?type=post&id=83759&key=user_uploads/1011051/a04d03c5-f67b-46e9-898e-5086b65aaace)\n\n# **It’s damn near impossible for companies to track everything their users interact with**\n\nYour company has a lot of online content— your website, marketing emails, Facebook ads, social media posts, and the product itself (which varies based on different A/B tests, geographies, languages, accessibility settings, and platforms). It’s tough to keep track of all the ways users interact with your company, and that’s a big problem for:\n\n* Marketing teams who struggle to understand and optimize their conversion funnels or manage brand consistency when everything is in disparate systems.\n* Compliance teams who need to ensure that customers see required disclosures and consents; otherwise, they risk massive fines for their company.\n* Product teams that can’t effectively develop a roadmap or new features without manually going through their app and taking screenshots of what is live in production.\n\n# **Meet Ficra**\n\nFicra’s AI helps teams see and manage every part of the user experience, both inside and outside of the product. From ads to notifications to product screens, Ficra gives you a clear and updated view of everything your users encounter, all in one place.\n\n# **What customers love about Ficra:**\n\nThe product flows, AB tests, ads, emails, and notifications your users see in one place:\n\n![uploaded image](/media/?type=post&id=83759&key=user_uploads/1946590/7068eb43-1091-45c2-a510-f4a19b419bb2)\n\nA complete historical record for compliance, branding, and design audits (can even be shared with banking partners) too.\n\nVisual and text-based search to find the touchpoint(s) you’re looking for:\n\n![uploaded image](/media/?type=post&id=83759&key=user_uploads/1946590/57e8dfc5-255b-4a0c-8bd4-0db962c8ae13)\n\nSet monitoring rules to flag compliance violations, outdated copy, or broken UI:\n\n![uploaded image](/media/?type=post&id=83759&key=user_uploads/1011051/61e5935b-c753-445b-8e9e-7725c0f2c040)\n\n# **The Team**\n\n![uploaded image](/media/?type=post&id=83759&key=user_uploads/1011051/a1390f51-d9fa-4ae2-a253-e695b5eb8e39)\n\nHi everyone! We’re [Mo](https://www.linkedin.com/in/mohammed-abid-40777b16/) and [Omar](https://www.linkedin.com/in/omar-el-sadany/), childhood friends for over 25 years who are building our third company together. We’re experienced engineering and product leaders who have founded and exited companies that have scaled to millions in users and ARR. We’ve worked at places like Apple and Meta (4 patents between us), and both have degrees from Stanford and Carnegie Mellon.\n\nWe’re building Ficra because we wanted this tool at our previous companies.\n\n# **Asks**\n\n1. [Get started with Ficra now!](https://ficra.ai/) We’ll have you up and running quickly with minimal effort on your part.\n2. Our early customers have been compliance and marketing teams that need full visibility on their entire user journey. If you know anyone who could benefit, please share Ficra with them!\n\nContact: [founders@ficra.ai](mailto:founders@ficra.ai) | Website:  | Calendar: [Book Time](https://calendly.com/omar-ficra/30min)", "url": "https://www.ycombinator.com/launches/Lmx-ficra-a-visual-map-of-every-ad-email-flow-and-screen-your-users-see", "votes": 159, "created_at": "2024-09-04T19:27:47.685Z" } ] }, { "id": 30080, "name": "Dexter", "slug": "dexter", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc1d327c6dd1df139ea6177767194e0a1289d32b.png", "website": "https://www.getdexter.co/", "all_locations": "Berlin, Berlin, Germany", "long_description": "Dexter helps procurement teams understand exactly where money is being spent and where it can be saved. Dexter's AI agents mine supplier invoices and contracts for insights, surfacing consolidation opportunities, contract leakage, and off-contract spend. ", "one_liner": "Spend Intelligence for Complex Enterprises", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1727913374, "tags": [ "SaaS", "B2B", "Analytics", "Procurement", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/dexter", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/dexter.json", "year_founded": 2024, "city": "Berlin", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/getdexter", "x_url": "https://x.com/get_dexter", "fb_url": null, "cb_url": null, "github_url": "https://github.com/getdexter", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc1d327c6dd1df139ea6177767194e0a1289d32b.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": 1724832, "full_name": "Bella Wu", "title": "Founder/CEO", "founder_bio": "Bella led the HubSpot automation product team, where she launched many workflow automation products in Marketing, Sales and Service Hubs. She was the Head of Product and Growth at Dance, where she scaled the member base to 10k+ and built the tools for ops. She graduated from UChicago with a BA in Economics. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/bellacwu", "x_url": "https://x.com/bellacwu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5be99e3ec6c509a4011585fe38d34aa1cc46ff99.jpg" }, { "user_id": 1938577, "full_name": "Vincent Garrigues", "title": "Founder/CTO", "founder_bio": "Vincent has 15+ years of experience leading engineering teams.\n\nHe joined SoundCloud as the 2nd iOS engineer and worked his way to director of engineering, overseeing the media streaming, player, and core listener teams (iOS, Android, Web, Backend, C++).\nAs principal engineer at Dance, he worked on everything, from customer facing apps to internal web and mobile apps for the operations team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/garriguv/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bf5d31b7974792e65ff772235f87a5725caa1ec7.jpg" }, { "user_id": 1945545, "full_name": "Caterina Kiehntopf", "title": "Founder/COO", "founder_bio": "Caterina has 10+ years of experience working in business development and operations. She was the second EMEA employee at Uber JUMP, where she launched Berlin operations and defined how markets in Europe operated. Most recently she was the Head of Operations at Dance, an ebike subscription provider, where she built the operations org from the ground up, scaling the company to +10k monthly subscribers with operations in 5 markets.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/caterina-kiehntopf/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92655407196bae5131be703b730c84e2e19d177d.jpg" } ], "jobs": [ { "id": 117454, "title": "Founders' Associate (full-time)", "url": "https://www.ycombinator.com/companies/dexter/jobs/R0wwdeh-founders-associate-full-time", "location": "Berlin, BE, DE / Berlin, Berlin, DE", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "€55K - €75K EUR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [] }, { "id": 30101, "name": "Kilvin", "slug": "kilvin", "former_names": [ "Chorrie", "BrowserBook" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8aa78b8b96db85bb2ce800dc4eae6fc788564af.png", "website": "https://www.kilvin.ai", "all_locations": "New York City, NY, USA", "long_description": "Kilvin is an AI-native agency that builds custom software solutions for non-technical teams.\r\n\r\nWith AI, the future of software is democratized. Every team deserves tools built exactly for them, not off-the-shelf SaaS products they need to adapt to. Kilvin makes it a reality, delivering a private, secure workspace of custom applications, built around your workflows and ready in days, not months.\r\n\r\nNo engineers needed on your side. Just software that fits exactly how you work.", "one_liner": "Custom software for your business", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1731609344, "tags": [ "Developer Tools", "Productivity", "Data Engineering", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kilvin", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/kilvin.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://linkedin.com/company/kilvin-ai/", "x_url": "https://x.com/cschlaep", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/kilvin", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8aa78b8b96db85bb2ce800dc4eae6fc788564af.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/aa7393d468539a73caee6d9313b35b9881c2cab3.png" ], "primary_partner": null, "founders": [ { "user_id": 739375, "full_name": "Christopher Schlaepfer", "title": "Founder/CEO", "founder_bio": "Co-Founder and CEO of Kilvin. https://www.kilvin.ai", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cschlaep/", "x_url": "https://x.com/cschlaep", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/392cd705c1908c02f96668e38871dd3f2234f243.jpg" }, { "user_id": 1970548, "full_name": "Jorrie Brettin", "title": "Founder/CTO", "founder_bio": "Co-Founder and CTO of Kilvin. https://www.kilvin.ai\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jorrie-brettin-349a6383/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c28014416ede57d2fe39326db64b2cc5ff2da234.jpg" } ], "jobs": [ { "id": 96213, "title": "Senior Platform Engineer", "url": "https://www.ycombinator.com/companies/kilvin/jobs/s3b5Le2-senior-platform-engineer", "location": "New York, NY, US / Denver, CO, US / Philadelphia, PA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $180K", "equity_range": "0.01% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Git", "Smalltalk", "TypeScript", "AI Agents" ] }, { "id": 100106, "title": "Forward-Deployed Engineer", "url": "https://www.ycombinator.com/companies/kilvin/jobs/5WEK19z-forward-deployed-engineer", "location": "New York, NY, US / Philadelphia, PA, US / Denver, CO, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $180K", "equity_range": "0.01% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Git", "TypeScript", "AI Agents" ] } ], "news": [], "launches": [ { "id": 96111, "title": "BrowserBook - The Browser Automation IDE", "tagline": "Write, run, and deploy reliable web automations in minutes, not hours", "body": "Hey YC!\n\nWe’re [Chris](https://www.linkedin.com/in/cschlaep/) and [Jorrie](https://www.linkedin.com/in/jorrie/), cofounders of [BrowserBook](https://www.browserbook.com).\n\nhttps://youtu.be/FkaGHhJWy1w\n\n# **TLDR**\n\nWe make it trivial for developers to write reliable web automations.\n\n# **Ok, but _what is it?_**\n\nBrowserBook is an IDE that puts all the tools automators need in one place, so the iteration loop to write, test, debug, and deploy web automations is significantly reduced.  It combines:\n\n* **A Jupyter-like coding environment** where developers can run code cells individually,\n* **An inline browser** to run automation code against\n* **A Playwright coding agent** that can write the automation for you\n* **A bunch of built-ins** for taking screenshots, extracting data, and authentication\n\nAnd, once you’re done writing your script, you can deploy it and trigger it via our public API.  It’s super easy!\n\n# **But browser agents are a thing, right?**\n\nYes, and we’re not using them.  We built BrowserBook because of the shortfalls we experienced with browser agents and the pain of actually writing reliable scripts.  At a very high level, in the AI world you can take two approaches to web automation - write scripts, or use browser agents.\n\n1. **Use browser agents:** ostensibly more flexible, but expensive, slow, and unreliable\n2. **Write scripts:** fast and debuggable, but infamously brittle\n\nWhich leads us to…\n\n# **The problem (and how we got here)**\n\n**Sometimes we need machines to interact with web pages, which are made for humans.**\n\nThis is basically the whole challenge.  There’s a lot of reasons we might want machines to poke around on the web:\n\n* Agents using a browser to interact with the web to perform actions like humans, especially when they can’t use APIs\n* Scrapers to gather data that’s useful for our business\n* UI tests that can interact with a website the way a human would to ensure everything’s working as intended\n* Workflow automation via RPA\n\nWe tried **browser agents** in our pre-pivot days to automate healthcare workflows. They mostly didn’t work; they were an order of magnitude more expensive than scripts, slow because of all the context they needed, and tended to drift when workflows got complex.  When they did drift, fixing them was just tedious prompt-massage and trial-and-error.\n\nWe ended up giving the agent a library of scripts to execute, and came to realize scripting was simply the better solution for reliable enterprise workflows; they’re deterministic and therefore inherently debuggable, not to mention their cost and speed advantage.  They with a host of issues though:\n\n* **Websites change often** causing scripts to break. We needed a way to quickly diagnose and iterate on our scripts.\n* **Setting up browser and filesystem infrastructure** is not easy but very necessary in the web automation world.\n* **It’s just annoying to write scripts** - if you’ve ever had to dig around for selectors, you know: it’s tedious and time consuming.\n\nSo we built BrowserBook to solve those issues.\n\n# **How does it work?**\n\n1. **Run code piecemeal** - if you’re fixing a breakage 2/3rds of the way through your script, you shouldn’t have to run the whole thing every time you test it.  We took inspiration from Jupyter notebooks and allow you to run code cells independently, while maintaining context and state:\n\n ![uploaded image](/media/?type=post&id=96111&key=user_uploads/739375/f2203cd4-1533-402c-8b17-3147d3d21783)\n\n2. **No more digging for selectors** - tell the coding assistant what to do and it’ll implement the automation logic in Playwright:\n\n ![uploaded image](/media/?type=post&id=96111&key=user_uploads/739375/418daacd-b744-4359-84d3-23891d386676)\n\n3. **Built-ins for the hard stuff** - want to take a screenshot?  Log in to a website with 2FA?  Extract data?  We’ve got built-ins for those, ready to go out-of-the-box.\n\n ![uploaded image](/media/?type=post&id=96111&key=user_uploads/739375/2acfea26-9c65-4ba4-8983-8e351e75222a)\n\n4. **Accessible via API** - if you need to execute your automation via an agent you’re building, scheduled via a cron job, or as a part of your application, you can trigger automations remotely and watch the playback in-app or via our artifacts API endpoint.\n\n ![uploaded image](/media/?type=post&id=96111&key=user_uploads/739375/957ce254-3702-407f-890d-ed8c184824e7)\n\n\n# **Our ask**\n\nTry it out!  If you:\n\n* Run browser automations\n* Are building agents that need to interact with the web\n* Need to write a one-off automation that will make your life easier\n\nBrowserBook is available for download for Mac users [on our website](https://browserbook.com/), and if you’d like you can [book a demo here](https://browserbook.com/demo).\n\nAdditionally, if you know individuals, startups, or teams at larger companies working on browser automations, we’d love to meet them!", "url": "https://www.ycombinator.com/launches/P0B-browserbook-the-browser-automation-ide", "votes": 74, "created_at": "2025-12-10T15:55:19.861Z" }, { "id": 85580, "title": "Chorrie: turn your SMEs into SWEs", "tagline": "Catch errors in your manual processes before they cost you big", "body": "# **TL;DR**\n\nWe supercharge your subject matter experts by giving them the tools they need to eliminate errors in heavily manual processes.\n\n**Our current mission:** empower healthcare practices to stop denials and under-billing on their claims before they happen.\n\n# **The Problem**\n\nHealthcare claims processing is an overly-complex, adversarial space. Insurance payers are constantly changing their policies, forcing billing teams to rely on:\n\n* frequent and extensive retraining\n* coding rules worksheets with hundreds of tabs\n* esoteric tribal knowledge\n\nWith so much room for human error, it’s no wonder 73% of healthcare staff surveyed reported that they’re facing increasing denials on outgoing claims.\n\n# **A turnkey solution for medical claims checks**\n\n[Here’s where Chorrie comes in.](https://youtu.be/orI95bsgaio)\n\nChorrie uses AI to empower medical practices to turn their esoteric knowledge into automated checks, saving time, money, and mental effort. We take simple, deterministic instructions, and translate them into a code-based decision tree, which can be continuously run to automate correctness checks for complex rules systems.\n\nTake the example in our video: we get a glimpse at how extensive these rules worksheets can become today, and see how quick & easy it is to automate a rule for claims from a particular location, containing a particular code, billed to a particular insurance payer with Chorrie.\n\n# **Backstops-as-a-service**\n\nOur approach of plaintext ➡️ decision tree ➡️ code generation is a scalable technique that can be used to provide backstop checks (and ultimately automate) high-leverage, deterministic manual processes that are prone to human error (think contract review for legal documents, trade confirmations, etc.).\n\nTo automate checks for these today, you’d need a team of engineers to write the logic into code, and keep them on staff to ensure that code can be updated when the rules change. **With Chorrie, you get:**\n\n* A no-code solution: turn your SMEs into SWEs\n* No hallucinations in your automated workflows\n* Intrinsically deterministic & fully explainable conclusions\n\nWhile the focus today is on reducing claims denials to 0% for our healthcare clients, we plan to explore use cases in other fields in the future.\n\n# **About us**\n\nWe are Chris (the **Ch**) and Jorrie (the **orrie**), old friends who met in undergrad at MIT. We met back up years later at Google, where we worked on applied AI for content moderation before we decided it was time to move onto something new.\n\n![uploaded image](/media/?type=post&id=85580&key=user_uploads/739375/ce57cfdc-3b8c-41dc-a8bb-d4bccc866ab0)\n\nAfter brainstorming on a number of projects, Jorrie’s wife, an ophthalmologist, gave us the idea of applying AI to the medical coding world and the rest is history!\n\n# **Our ask**\n\nDo you have any tedious or high-leverage manual processes where errors can cost your business money (Think heavy manual review processes, major transactions that need to be verified, etc.)? Or any contacts in the medical billing world? We’d love to chat.\n\n📧 [**founders@chorrie.com**](https://mailto:founders@chorrie.com)", "url": "https://www.ycombinator.com/launches/MGK-chorrie-turn-your-smes-into-swes", "votes": 80, "created_at": "2024-11-14T22:58:45.072Z" } ] }, { "id": 30111, "name": "x1", "slug": "x1", "former_names": [ "FoundryAI", "Foundry" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c86ce92c78b4bd9698a823b31a8ee51eff7418e7.png", "website": "https://x1.new/", "all_locations": "San Francisco, CA, USA", "long_description": "x1 is an AI app builder that helps anyone create real, App Store-ready iOS apps. Users start with a structured product plan, design polished iPhone screens in a visual canvas, build features step by step, and prepare launch assets like App Store listings, screenshots, monetization, and analytics. Instead of generating one-shot AI demos, x1 gives builders a guided system for turning an idea into a real app.", "one_liner": "AI app builder for creating and launching iPhone apps", "team_size": 5, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1731963387, "tags": [ "AI-Enhanced Learning", "Developer Tools", "Generative AI", "No-code", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "The first hour with an AI app builder is misleading. A user enters a prompt, gets polished screens and a functional first version, and thinks the app is nearly finished. The hard part begins later, when they add authentication, payments, user data, permissions, subscriptions, analytics, and the next 20 changes.\r\n\r\nThe problem is not that AI cannot generate code. It is that a real app is a connected system of product, design, data, and engineering decisions. When those decisions are not made explicitly, the AI guesses. Each guess may work on its own while conflicting with another part of the app, so every new feature makes the product harder to fix, test, and launch.\r\n\r\nThis matters because AI has opened app development to people who should not need to act as a product manager, designer, engineer, and QA lead at the same time. Existing tools give them generation without the structure needed to turn an idea into a durable product.\r\n\r\nWe started x1 after seeing the same pattern repeatedly: people could create an impressive demo quickly, then became trapped in prompt-and-fix loops. x1 asks the important questions first, turns the answers into a plan, lets users design the screens before development, builds in milestones, and verifies each step before moving on.\r\n\r\nThe goal is not just a faster demo. It is a working iPhone app that can keep improving." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Our long-term vision is to make it possible for one person to build and run a serious app company.\r\n\r\nToday, launching an app requires product planning, design, mobile engineering, backend infrastructure, testing, App Store operations, monetization, analytics, marketing, customer support, and ongoing iteration. AI can generate pieces of that work, but the founder still has to coordinate disconnected tools and repeatedly explain the product from scratch.\r\n\r\nx1 will become the shared system for the entire app lifecycle. It will remember the product, users, design, data, and prior decisions, then carry that context into future releases, App Store assets, subscriptions, analytics, experiments, marketing, and customer feedback.\r\n\r\nA founder should be able to go from an idea to an app, from an app to a launch, and from a launch to a growing business without assembling a traditional software team.\r\n\r\nIf we succeed, people with strong ideas, taste, domain expertise, or distribution will be able to create durable app businesses on their own. x1 will be the operating system for one-person app companies." } ], "url": "https://www.ycombinator.com/companies/x1", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/x1.json", "year_founded": 2024, "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/c86ce92c78b4bd9698a823b31a8ee51eff7418e7.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": 505884, "full_name": "Manil Lakabi", "title": "Founder/CEO", "founder_bio": "ex operator on the Gen AI team at Scale AI and FRL team at Meta", "is_active": true, "linkedin_url": "https://linkedin.com/in/manillakabi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/33d9e61aaadd1da04587e140d9ff96568b944afa.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30160, "name": "Quantstruct", "slug": "quantstruct", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/64b5db172bf1cde01b3812d4221d26658881fead.png", "website": "https://quantstruct.com", "all_locations": "San Francisco, CA, USA", "long_description": "Quantstruct automatically creates and improves product documentation, implementation guides, and changelogs for API & SDK products, web-based enterprise software, and internal applications.\r\n\r\nQuantstruct identifies gaps in your knowledge base based on each product release or unfulfilled customer query. It uses multiple AI agents to search existing knowledge sources, test existing docs for validity and style guidelines, and clicks, scrolls, and uses enterprise software through a web browser to generate docs with embedded screenshots and video recordings. Quanstruct is available as a cloud service to start, targeting technical writers, content writing, professional services, and product teams.\r\n\r\nTraditional generative AI tools risk hallucinating critical API & SDK fields, even with RAG based approaches. Purely agent-based approaches risk providing unpredictable output that can diverge from desired documentation processes. Finally, no company’s review and publishing workflow is the same. Quantstruct is the easiest way to onboard and customize AI agents to continuously improve your documentation based on your customer needs and product evolution. https://quantstruct.com", "one_liner": "AI documentation engineer – test & autoimprove stale product docs", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1736668232, "tags": [ "Developer Tools", "B2B", "API", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/quantstruct", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/quantstruct.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/quantstruct", "x_url": "https://x.com/quantstruct", "fb_url": null, "cb_url": null, "github_url": "github.com/quantstruct", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/64b5db172bf1cde01b3812d4221d26658881fead.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 120963, "full_name": "Sarthak Srinivas", "title": "Founder/CEO", "founder_bio": "Cofounder of Quantstruct (YC W25). Building robot housekeepers for hotels.\n\nPreviously shipped agent developer platform from 0 to mid-$X million as product lead while onboarding multiple Fortune 100 companies at Moveworks. Published research with Google Glass inventor (who coined “wearable computing”) at Georgia Tech.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sarthaksrinivas", "x_url": "https://x.com/sarthaksrinivas", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53c8d474f7b538952351293be7419ca04ffed1f7.jpg" }, { "user_id": 1091044, "full_name": "Newman Hu", "title": "Founder/CTO", "founder_bio": "Co-founder of Quantstruct. We're building AI agents to create the best documentation for your product. Newman previously built search infrastructure at Moveworks and Replit (YC W18), where he managed mission critical platforms powering Gen AI experiences for Fortune 500 companies. EECS @ Berkeley", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/newmanhu/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/88254d54a8617f62e7b8bcf5ecd8f107a1e630eb.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87136, "title": "Quantstruct 🤖 – Improve Your Technical Docs 24x7 with AI Agents", "tagline": "Kill documentation debt, update docs automatically, research & validate docs", "body": "# **tl;dr**\n\nQuantstruct is an AI technical writer that improves your documentation 24x7 with agents to research, test, and update your docs. We already work with hypergrowth companies like [Vapi (YC W21)](https://vapi.ai) and enterprises who build API & SDK products, visual software, and platforms where nurturing a vibrant developer and partner community with bespoke docs helps you win.\n\n[Sign up to get onboarded](https://quantstruct.com) today!\n\n\n\n## **Problem**\n\nThe best product & customer teams stomach some difficult truths to serve their customers today:\n\n1. **Product & customer education demands active effort** from product and engineering experts with limited time\n2. **Teams need to understand too much** source code, support, communication threads & product specs to properly guide customers\n3. **High-quality docs require 100% validation** to test code snippets, external links, accessibility guidelines, take screenshots, and other references. Traditional Gen AI falls short.\n4. **Helping customers supersedes keeping docs up to date**\n\nThe result? **Documentation debt** - where your product and technical docs & implementation plans go increasingly out of sync.\n\nWe felt this pain thousands of times previously, when we helped Fortune 500 customers integrate with 100s of enterprise software platforms that were poorly documented. We saw how **documentation debt** could escalate customer support issues and lead to customers not adopting and championing the platform.\n\nWe also saw how paying down documentation debt could amplify each team’s impact, inspire customer love, and help nurture a community of strongly activated champions.\n\n## **Solution**\n\nQuantstruct connects to your docs platform, GitHub, and Slack to continuously update your docs\n\n1. When a **PR** occurs, Quantstruct works behind the scenes and notifies you about a companion docs update\n2. Each type of doc update can be configured with tools and agents to\n * _Check WCAG accessibility guidelines_\n * _Check broken links_\n * _Take screenshots and videos_\n * _Generate system architecture diagrams_\n * _Validate code blocks_\n * _and much, much more._\n3. You can manually edit the doc or provide high-level instructions, and Quantstruct updates and publishes the necessary sections without work\n4. Quantstruct’s platform will take care of the hard bits of coordinating multiple agents, self-evaluating and improving performance, following your specific review & publishing workflows\n\n## **The ask**\n\nSign up for [Quantstruct](https://quantstruct.com), and install our GitHub and Slack apps to get started! You can also reach out to [founders@quantstruct.com](mailto:founders@quantstruct.com) to guide you through the onboarding process.\n\n# **The team**\n\n**Sarthak** has worked at growth-stage companies like Moveworks as a Kleiner Perkins product fellow, where he built an agent developer platform from 0 to $2+ million.\n\n**Newman** has built search infrastructure at Moveworks and Replit (YC W18), where he managed mission-critical platforms powering Gen AI experiences for Fortune 100 companies.\n\nBoth are published researchers and patent holders from **Georgia Tech CS** and **Berkeley EECS,** respectively.\n\nWe’ve spent our careers building for developers at enterprise software companies and deeply empathize with the pressures that support, customer success, product, and GTM teams face to build world-class developer products and ecosystems.\n\n![uploaded image](/media/?type=post&id=87136&key=user_uploads/120963/9b5326c4-b1e2-4845-ae3f-1ac50417a262)\n\n", "url": "https://www.ycombinator.com/launches/MfQ-quantstruct-improve-your-technical-docs-24x7-with-ai-agents", "votes": 78, "created_at": "2025-01-24T17:03:08.473Z" } ] }, { "id": 30259, "name": "Asteroid", "slug": "asteroid", "former_names": [ "Entropy Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4598dd293d773fa0a9a1c72940f2f2e3153dda35.png", "website": "https://asteroid.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Asteroid is the AI-powered integration layer for healthcare. One connector for EHRs, payer portals, and legacy desktop systems, with 100+ pre-built integrations that go live in days, not months. Built for developers and operations teams, with integrations that maintain themselves.", "one_liner": "The integration layer for healthcare: EHRs, payer portals & more ", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1734639467, "tags": [ "Robotic Process Automation", "Health Tech", "B2B", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/asteroid", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/asteroid.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/asteroidai/", "x_url": "https://x.com/asteroid_inc", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/asteroid-9e1c", "github_url": "https://github.com/asteroidai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4598dd293d773fa0a9a1c72940f2f2e3153dda35.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/223c518cbae6486dd03a7709aace37e8071aae3d.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5d89729aa0ccb3844b77004c5ef19da6ccbad2c0.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1651915, "full_name": "David Mlcoch", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Asteroid.\n\nI have a background in AI (Edinburgh University), autonomous agents (Co-founder and CTO of Trident AI), robotics (CTU, NTU, TAU) and space (EUSPA, SpaceKnow). I like sports, history and building things.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/davidmlcoch/", "x_url": "https://x.com/MlcochDavid", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a26cbf3a786ad8b0e9929f7d4d24e685714a3907.jpg" }, { "user_id": 1891505, "full_name": "Joe Hewett", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Asteroid. \n\nPreviously cybersecurity at Netcraft, where I created novel methods using LLMs to map and disrupt hundreds of millions of dollars of fraud. I have published academic work on the use of LLMs in cybersecurity", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joehewett/", "x_url": "https://x.com/simulated_land", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/425461b5427ba1aa60f5e01d3aceeb1696c688c4.jpg" } ], "jobs": [ { "id": 114163, "title": "Forward Deployed Engineer (Healthcare)", "url": "https://www.ycombinator.com/companies/asteroid/jobs/tYlxU3M-forward-deployed-engineer-healthcare", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "AI engineer", "salary_range": "$120K - $160K", "equity_range": "0.20% - 0.35%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "LLMs", "AI Agents", "Playwright" ] } ], "news": [], "launches": [ { "id": 96061, "title": "Asteroid: AI Builder for complex Browser Agents", "tagline": "Build self-healing AI browser agents in minutes. Ops build, developers deploy, Asteroid self-improves.", "body": "### **TL;DR**\n\n**Asteroid** is the fastest way to build self-healing browser agents, no technical experience required. \\\n\\\nOur new **AI agent builder**, **Astro**, allows you to build **complex, multistep browser agents** by building an agent graph, writing prompts, adding tools, human in the loop and guardrails.\n\nThis makes Asteroid agents suitable for **mission-critical workflows**, and more than **25 businesses** already use them in healthcare, insurance, and beyond.\\\n\\\n**Astro** **is fully available, build your agent [here](https://platform.asteroid.ai/)!**\n\nhttps://youtu.be/ugY_qLTfmG8\n\n### **What is the problem?**\n\nStartups need to integrate with external portals (carriers, suppliers, healthcare) but can’t wait months for APIs.\n\nMany great browser-agent frameworks have emerged in the past year, but **non-technical teams still can’t build production-grade agents.**\n\nOperations leaders, PMs, and founders are the ones who **understand the workflows and edge cases** and _should_ be the builders. Relying on developers to constantly fix prompts for every new edge case isn’t sustainable.\n\n![uploaded image](/media/?type=post&id=96061&key=user_uploads/1651915/d73eee4d-bcc6-461f-953e-6fdd56374905)\n\n### **Solution: Astro - AI Builder for Complex Browser Agents**\n\nToday we’re launching **Astro**, our AI builder that lets anyone create **complex, self-healing browser agents in under 2 minutes**. Tell Astro what you want, for example _“Build an agent to pull patient data from this EHR”_, and it generates the full agent.\n\n![uploaded image](/media/?type=post&id=96061&key=user_uploads/1651915/53714daf-535a-450a-8a76-82eb70d43007)\n\n**Astro improves the agent using previous runs.** Behind the scenes, it writes code when needed, including Playwright scripts for deterministic steps, giving everyone code-level reliability.\n\n![uploaded image](/media/?type=post&id=96061&key=user_uploads/1651915/62627740-6f1e-47ce-a197-917e01ceade7)\n\nEvery part of the agent, including graphs, prompts, and model settings, is fully visible so you can make precise, surgical edits whenever needed.\n\n### **How does it work**\n\n1. **Build:** Non-technical teams create agents directly in the platform. Astro generates the prompts, agent graphs, and tools needed to handle even the most complex browser workflows.\n2. **Deploy:** Developers drop in a single code snippet to call the agent through Asteroid’s API/SDKs.\n3. **Supervise:** Monitor live sessions, review recordings, track performance, and trigger human-in-the-loop via Slack when needed.\n4. **Improve:** Non-technical teams update prompts and ship new agent versions instantly as workflows change.\n\n### **Ship your first agent today**\n\n**Astro** **is fully available, try it for free [here](https://platform.asteroid.ai/) or book a [demo](https://cal.com/asteroidai/15min) with a founder!**", "url": "https://www.ycombinator.com/launches/OzN-asteroid-ai-builder-for-complex-browser-agents", "votes": 228, "created_at": "2025-12-09T22:31:58.000Z" }, { "id": 88012, "title": "Asteroid: Browser Agents with Human Oversight", "tagline": "Browser workflow automation for regulated industries", "body": "**Asteroid makes browser automation seamless for regulated industries.** Not only developers but also non-technical teams can **build and run our browser agents with Asteroid**, turning 45-minute manual tasks into 2-minute automated processes.\n\nOur browser agents can navigate legacy portals, fill out forms, and extract data—all without brittle scripts, high costs, or maintenance headaches.\n\n![uploaded image](/media/?type=post&id=88012&key=user_uploads/1651915/50a0915f-b720-4fff-923b-0b84e6017098)\n\n### **The Problem**\n\nTraditional automation tools like RPA are too expensive for non-enterprise customers, **costing $10,000 per automation**. Meanwhile, scaleups especially in high-risk industries like insurance or healthcare lack the resources to maintain Selenium or Playwright scripts, as these frequently break due to UI changes and the automations need to be extremely reliable.\n\n### **The Solution**\n\nBrowser agents bridge this gap—offering the flexibility of scripting with the reliability of RPA. With 2025’s computer use models, **web automation is now 100x cheaper and more robust, unlocking thousands of new use cases.**\n\n### **How It Works**\n\n**Asteroid transforms any browser task into an agentic workflow.** Simply show Asteroid what to do—via a screen recording, SOP, or written instructions—and get an agentic workflow. You can then call it through our web UI or API.\n\nBehind the scenes, Asteroid spins up a secure, headless browser, handles authentication, executes workflows, and seamlessly integrates human review when needed—all without burdening your developers. We ensure the agent improves over time.\\\n🔗 [Watch Asteroid in action](https://www.youtube.com/watch?v=26uksP36xB4)\n\n![uploaded image](/media/?type=post&id=88012&key=user_uploads/1651915/fa0c7345-c244-4270-8c56-c905072f93ea)\n\n### **Highlighted Features**\n\n🔹 **API-First Automation** – Trigger a browser agent in a web UI or with a single API call—no need for complex scripts or RPA setups.\\\n🔹 **Human-in-the-Loop** – Automate only where it’s safe, with built-in escalation for manual review when needed.\\\n🔹 **Intelligent Guardrails** – Set rules like “Never click this button” or “Ask before submitting” to prevent errors.\\\n🔹 **Continuous Learning** – Asteroid evaluates every execution, adapting to website changes and improving over time using evaluations and backtesting.\n\n### **How We Got Here**\n\nWe’re both AI engineers who had to solve the same problem independently. Joe built AI systems that stopped $100M+ in fraud annually. David developed fraud investigation agents for fintechs.\n\nAfter years of building mission-critical automation, we learned that automation only works with intelligent guardrails, human oversight, and continuous learning.\n\nWe first built Asteroid as a developer tool for safe AI deployment—offering guardrails, human-in-the-loop workflows, and continuous evaluations. But we quickly realized:\n\n\\*\\*Browser agents need these safeguards even more.\\*\\*\\\n✅ **Guardrails** – \"Don’t click on this.\"\\\n✅ **Human oversight** – \"Ping me before you submit.\"\\\n✅ **Continuous learning** – \"The website changed—adapt.\"\n\nInstead of just developer tools, we’ve shifted to building browser agents with safety and reliability baked in!\n\n![uploaded image](/media/?type=post&id=88012&key=user_uploads/1651915/e9051949-8032-4fc5-951d-1fb8361ba3e1)\n\n### **Real-World Use Cases**\n\nWe’re working with customers to automate high-value workflows like:\n\n🔹 **Insurance Portal Automation** – Retrieve broker quotes across insurer portals—without manual input.\\\n🔹 **Supply Chain Scheduling** – Log into carrier platforms, retrieve GPS data, and schedule deliveries—seamlessly.\\\n🔹 **Expense Management** – Pull PDF bills from utility portals for expense tracking—without APIs.\n\n### **Who is Asteroid for?**\n\n🔹**Businesses with Heavy Manual Browser Workflows** – Automate large-scale data entry, form submissions, and repetitive portal interactions.\\\n🔹**Regulated Businesses using Legacy Systems** – Streamline automation for industries like insurance, healthcare and supply chain.\\\n🔹**AI Agent Startups** – Enable AI agents to reliably interact with legacy portals and automate browser tasks.\n\n### **Get Started**\n\n**Have a repetitive workflow you'd love to automate?** Let’s explore how Asteroid can help!\\\n🔹 [Schedule a demo](https://calendly.com/founders-asteroid-hhaf/30min?month=2025-02) to discuss your use case!\\\n🔹[Try our default agents](https://platform.asteroid.ai/) and see browser automation in action!", "url": "https://www.ycombinator.com/launches/MtY-asteroid-browser-agents-with-human-oversight", "votes": 19, "created_at": "2025-02-25T16:20:12.618Z" } ] }, { "id": 30272, "name": "Lucidic AI", "slug": "lucidic-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f666d84f3ea0fbb63226b5b84cd46c97e83f4414.png", "website": "https://lucidic.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Lucidic is trying to find a new paradigm to teach models. The last decade made models intelligent, but intelligence is not the same as experience. Humans do not get better by memorizing thousands of examples; we build learning systems around ourselves: skills, memories, critique, practice, tools, and guidance. And every person learns differently because every task is different. Lucidic brings that idea to AI agents by training a custom learning system for each agent, so it learns what to remember, what skills to build, when to ask for help, and how to improve from experience. The model provides the intelligence, Lucidic gives it a way to learn.", "one_liner": "Reimagining how Machines Learn ", "team_size": null, "industry": "B2B", "subindustry": "B2B", "launched_at": 1736904770, "tags": [ "AIOps", "Developer Tools", "SaaS", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lucidic-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/lucidic-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/105580616/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f666d84f3ea0fbb63226b5b84cd46c97e83f4414.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": 2183616, "full_name": "Abhinav Sinha", "title": "Founder/CEO", "founder_bio": "Hi, I’m Abhinav the founder and CEO for Lucidic AI! I’m from Stanford where I studied Computer Science with an AI specialization (both bachelor's and master's) and did research at Stanford's AI Lab. I’ve worked at Apple as a software engineer and at Citadel Securities and Susquehanna International Group as a quant. \n\nIn my free time, I like to play basketball, pickleball, lift, and rewatch Christopher Nolan movies!\n\nFeel free to reach out, would love to chat -- abhinav@lucidic.ai ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abhinavsinha15/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b9b8b7c2a005b7d2a2f4231aba78117677082f03.jpg" }, { "user_id": 2373805, "full_name": "Andy Liang", "title": "Founder/CTO", "founder_bio": "Founder/CTO at Lucidic AI, working on an analytics, testing, and simulations framework for AI agent devs. Stanford BS/MS Computer Science (AI specialization). Ex Citadel, AppLovin. \n\nPreviously built GrocerCheck, a COVID-19 web app helping shoppers social distance effectively, with over 200,000 users and endorsed by the Government of Canada. \n\nReach me at andy@lucidic.ai", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andyliang223/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3c501422ab10290f03dc7c6e7b85cf3be1715f93.jpg" }, { "user_id": 2373806, "full_name": "Jeremy Tian", "title": "Founder", "founder_bio": "Hi! I'm Jeremy Tian, one of the founders and the Chief Scientist at Lucidic AI, working to explain your AI models' decisions. I have a BS/MS in Computer Science with an AI specialization from Stanford University. Ex. Quantitative Trader at DRW and software engineering/machine learning engineering at Steel Dynamics. Contact me at jeremy@lucidic.ai!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jeremy-tian-a2076a239/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a05c261a89cb8f8bde42c10b8654a299f061adaf.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30341, "name": "Browser Use", "slug": "browser-use", "former_names": [ "browser-use" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c098c79c1154d878f59439428e54fe98a83295a2.png", "website": "https://browser-use.com", "all_locations": "San Francisco, CA, USA", "long_description": "We enable AI to control the browser. \r\nBrowser-use is the biggest open-source web agent project with 110k+ Github stars.", "one_liner": "Agents that use the browser.", "team_size": 7, "industry": "B2B", "subindustry": "B2B", "launched_at": 1734712888, "tags": [ "Open Source", "API", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/browser-use", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/browser-use.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/browser-use", "x_url": "https://x.com/browser_use", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/browser-use", "github_url": "https://github.com/gregpr07/browser-use", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c098c79c1154d878f59439428e54fe98a83295a2.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": 2614311, "full_name": "Magnus Müller", "title": "Founder/CEO", "founder_bio": "CEO of browser-use.\nRepeated founder. Scraping hobbyist + ML researcher.\nI have published for Cambridge CARES, studied Data Science at ETH Zurich, and worked in R&D for process automation companies. \nSince I learned to code, I have developed bots and web automations.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/magnus-mueller ", "x_url": "https://x.com/mamagnus00", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ed8efa118458bf376ecd96aab3e4017fb16ee229.jpg" }, { "user_id": 2611702, "full_name": "Gregor Zunic", "title": "Founder/CTO", "founder_bio": "I love solving hard problems. Data Science masters at ETH Zurich, bachelors in Physics.", "is_active": true, "linkedin_url": "https://linkedin.com/in/gregorzunic", "x_url": "https://x.com/gregpr07", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e41c2f60aa7a0d2a3d38cf19d6d87d9f5c8ca3ef.jpg" } ], "jobs": [ { "id": 75451, "title": "Summer Software Engineering Intern (now and Summer 2026)", "url": "https://www.ycombinator.com/companies/browser-use/jobs/JwGWpEP-summer-software-engineering-intern-now-and-summer-2026", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$6K - $16K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Python" ] }, { "id": 75884, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/browser-use/jobs/jDXD9an-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$175K - $300K", "equity_range": "0.50% - 1.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "Python", "Machine Learning" ] }, { "id": 79630, "title": "Infra god", "url": "https://www.ycombinator.com/companies/browser-use/jobs/8BYM83A-infra-god", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$200K - $350K", "equity_range": "0.50% - 1.40%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Go", "Python", "Rust" ] }, { "id": 107014, "title": "Founding Forward-Deployed Engineer", "url": "https://www.ycombinator.com/companies/browser-use/jobs/ji4Im8S-founding-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200 - $300", "equity_range": "0.50% - 1.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 107158, "title": "Founding Engineer (ex-YC founders only)", "url": "https://www.ycombinator.com/companies/browser-use/jobs/rxVZd5T-founding-engineer-ex-yc-founders-only", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $400K", "equity_range": "0.50% - 1.40%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Browser Use, the tool making it easier for AI 'agents' to navigate websites, raises $17M | TechCrunch", "url": "https://techcrunch.com/2025/03/23/browser-use-the-tool-making-it-easier-for-ai-agents-to-navigate-websites-raises-17m/", "date": "Mar 23, 2025" }, { "title": "Browser Use, one of the tools powering Manus, is also going viral | TechCrunch", "url": "https://techcrunch.com/2025/03/12/browser-use-one-of-the-tools-powering-manus-is-also-going-viral/", "date": "Mar 12, 2025" } ], "launches": [ { "id": 87243, "title": "Browser Use: Open Source alternative to OpenAI Operator", "tagline": "We enable AI to control your browser.", "body": "Hey everyone, we're Gregor and Magnus we are excited to launch Browser Use Cloud!\n\n# What is Browser Use (Cloud)?\n\nWe started this project 3 months ago because it simply wasn’t possible to use the Browser with any LLM. We thought “How hard could it be to build the interface between LLMs and the web?” Fast forwarding 3 months, we have combined 25k ⭐ on Github and our Open Source community is growing fast.\n\nFour days ago, OpenAI launched Operator. Since then, our community has been asking non-stop for a hosted version of browser-use. So we shipped that. Now you can use Browser Use as a B2C chat tool at . We are releasing the API in the next few days. If you need API access for web agents, call us, don’t wait for the Open AI Operator API to be released!\n\n![uploaded image](/media/?type=post&id=87243&key=user_uploads/1367312/bc5949c1-a906-4131-a621-d7da318dda1a)\n\n# Existing problems\n\nDuring many conversations with our discord community of 5000 people, we identified these core challenges in browser automation:\n\n* Websites change, and this breaks automation scripts. You usually only notice this, when it's too late.\n* Websites often catch bots. To avoid this, you need to use different IP addresses, solve captchas, and act more like a human.\n* Many people get frustrated with rate limits, parsing errors and API key management, when they do LLM-based scraping.\n* The most useful tasks often require you to log in. This can be a pain, especially if you have to type in your username and password every time.\n\n[Browser Use hosted version](https://cloud.browser-use.com/) addresses these challenges by handling proxy rotation, maintaining persistent sessions - so you only need to login once, and allowing you to run as many instances in parallel as you need. We've priced it at $30/month, significantly lower than Operator.\n\nOn the open-source side, browser-use remains free and flexible. You can use any LLM you prefer - from Gemini to Sonnet, Qwen, and even DeepSeek-R1. It comes with an MIT license and full customisation options.\n\nThis week, we're working on follow-up questions, task reruns, voice mode, and scheduled agent starts. If you want to build automations directly into your products call us, we are happy to explore your use cases and help you set get set up with the API or even custom integration.\n\n**Our vision is simple**: tell your computer what to do, and it gets it done.\n\n![uploaded image](/media/?type=post&id=87243&key=user_uploads/1367312/1ac17208-7147-4696-aa13-7e67a4be8329)\n\nWe'd love to hear from you. What automation challenges are you facing? How do you think people will interact with computers in the future?", "url": "https://www.ycombinator.com/launches/Mh9-browser-use-open-source-alternative-to-openai-operator", "votes": 47, "created_at": "2025-01-28T18:40:53.679Z" } ] }, { "id": 30430, "name": "Almond", "slug": "almond-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/37312e12dc6f12e2470a531052ec0e30ee697a75.png", "website": "https://almond.bot/", "all_locations": "San Francisco, CA, USA", "long_description": "We build robots for physical AI. Meet Axol - A dual-arm robot designed for real-world tasks using AI.", "one_liner": "A dual-arm robot built for physical AI.", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1745432874, "tags": [ "Hardware", "Robotics", "Manufacturing", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/almond-2", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/almond-2.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/almond-inc", "x_url": "https://x.com/almond_robotics", "fb_url": null, "cb_url": null, "github_url": "github.com/orgs/almond-bot/repositories", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/37312e12dc6f12e2470a531052ec0e30ee697a75.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": 33058, "full_name": "Saba Khalilnaji", "title": "Founder/CEO", "founder_bio": "ex-DoorDash logistics engineer & ex-CTO Conduit (W23)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/saba-khalilnaji-853631241/", "x_url": "https://twitter.com/saba_khalilnaji", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/06726c32d6bbe24037817517e07713cd6f57f7ee.jpg" }, { "user_id": 1049100, "full_name": "Shawn Patel", "title": "Founder/CTO", "founder_bio": "🤖", "is_active": true, "linkedin_url": "https://linkedin.com/in/shawnpatel", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c9b2f7b4ac6a5d23217331e11b703fcb1d08bcb1.jpg" } ], "jobs": [ { "id": 86930, "title": "Founding Robotics Software Engineer", "url": "https://www.ycombinator.com/companies/almond-2/jobs/RXD2GSW-founding-robotics-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$130K - $200K", "equity_range": "0.50% - 3.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Rust", "Torch/PyTorch", "WebVR" ] }, { "id": 86932, "title": "Founding Mechanical Engineer", "url": "https://www.ycombinator.com/companies/almond-2/jobs/5NPlb6V-founding-mechanical-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$100K - $200K", "equity_range": "0.25% - 5.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "CAD Design" ] }, { "id": 95984, "title": "Assembly & Production Technician", "url": "https://www.ycombinator.com/companies/almond-2/jobs/pBOdInA-assembly-production-technician", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$25 - $40 / hourly", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102952, "title": "Founding Software Engineer", "url": "https://www.ycombinator.com/companies/almond-2/jobs/HiQT2fV-founding-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$130K - $200K", "equity_range": "0.50% - 3.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python" ] } ], "news": [], "launches": [ { "id": 102875, "title": "Axol - A dual-arm robot built for AI.", "tagline": "Axol is the robot for the teams turning physical AI into reality. ", "body": "Today, we’re launching **Axol**, a dual-arm robot built for real-world tasks.\n\n\n\nWe spent the last year deploying robots in factories and grocery stores.\n\nAnd they kept breaking.\n\nData collection was just too difficult. Reach and payload were limited. Singularities reduced our workspace. Cables failed but support was slow.\n\nThe robots we tried were built for demos, not real tasks.\n\nSo we built our own.\n\n![uploaded image](/media/?type=post&id=102875&key=user_uploads/33058/8029ac83-f0a9-4809-8bf9-f13c97c24bc6)\n\nAxol is for builders who believe robots should work, in the real world, not just staged environments.\n\nAxol’s Specs:\n\n* Extra-long 860mm reach & 4kg sustained payload\n* Joints exceeding human range of motion with fewer singularities\n* Protected cabling and robust hardware\n* Open-source SDK + data collection that works out of the box\n\nOur factory is in San Francisco so we can support teams directly and be there when it matters.\n\n**Available now.**\n\n* Axol — standalone robot\n* Axol Kit — robot + cameras + compute (start training day 0)\n\nFirst orders deliver this week.\n\nIf you're working on manipulation or physical AI, Axol is for you.", "url": "https://www.ycombinator.com/launches/QlH-axol-a-dual-arm-robot-built-for-ai", "votes": 20, "created_at": "2026-06-10T16:30:47.683Z" } ] }, { "id": 30434, "name": "Zeon Systems", "slug": "zeon-systems", "former_names": [ "Zeon Technologies" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/95786f7359527c0b6051a250e5f3cb00d43b578b.png", "website": "https://www.zeonsystems.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We’re building AI-powered systems that automate manual work in scientific labs using robotics.\r\n\r\nScientists simply type their experiment in plain English. Zeon translates it into code and runs it on robotic arms (no coding required).\r\n\r\nBy controlling robots with natural language, we’re enabling automation for every lab, every scientist, and every experiment.\r\n\r\nZeon is lab-aware. It detects equipment, adapts to protocols, and moves autonomously between instruments to execute full workflows.\r\n\r\nWe’re already working with labs at Stanford and UCSF to accelerate discovery - from running overnight nanoparticle fluorescence measurements to safely disposing of hundreds of bacterial samples. \r\n\r\nZeon reclaims time for what matters most: the science.", "one_liner": "AI-powered robotics for scientific lab automation.", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1745428848, "tags": [ "Robotic Process Automation", "Robotics", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/zeon-systems", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/zeon-systems.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/zeon-systems/", "x_url": "https://x.com/zeonsystems", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/95786f7359527c0b6051a250e5f3cb00d43b578b.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": 379901, "full_name": "Brontë Kolar", "title": "Founder/CEO", "founder_bio": "cofounder & CEO @ Zeon Systems (YC X25)\n-\naccelerating science with robotics + AI.\n-\nbuilt electronic systems for electric aircraft and high-density batteries before pivoting to computational biology research at UCSF and UPenn. early engineer at LatchBio.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bronte-kolar", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef08976f1f1aa308a330e07e05531de19928bf84.jpg" }, { "user_id": 2502032, "full_name": "Tahir D'Mello", "title": "Founder/CTO", "founder_bio": "cofounder & CTO @ Zeon Systems (YC X25)\naccelerating science with robotics and AI.\n\n----------------\n\nbeen building software and ML for science labs basically all my adult life, doing computational research at IIT, Yale and working in biotech and pharma across India and the US.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tahirdme/", "x_url": "https://x.com/TahirMello", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/437000c0ac09fa8258a3cafc8d88e43d147e15be.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 89951, "title": "Zeon Systems: AI-powered robotics for lab automation 🧪", "tagline": "We turn natural language into real-time lab automation.", "body": "Hey everyone 👋\n\nWe’re [Brontë](https://www.linkedin.com/in/bronte-kolar/) and [Tahir](https://www.linkedin.com/in/tahirdme/) – co-founders of [Zeon Systems](https://www.zeonsystems.ai/). We’re on a mission to make science move at the speed of thought.\n\n# **TL;DR**\n\n**We turn natural language into lab automation.** Scientists type their experiment in English. Our software programs robots to execute it.\\\n\n\n# **Problem**\n\nThe biggest scientific breakthroughs -- _think Selman Waksman mining microbes for antibiotics or Akira Yoshino testing early lithium-ion batteries_ _at Sony_ -- started in labs through painful, manual work. **Decades later, discovery still relies on pipetting, weighing, and prepping by hand.**\n\nIt’s inefficient, exhausting, and slows down discovery. Automation solutions exist, but are often **$$$** or built for **specific use cases**. \n\nWe want to change that.\n\n# **Our Take**\n\nWhat if you could run an experiment by just typing it out? \n\nThat’s what we’re building for: **automation that’s usable by everyday scientists.**\n\n# **The Zeon System 🦾**\n\nWe sell a hardware + software system that runs lab experiments using off-the-shelf robotics. **Labs receive a ready-to-run automation setup** that includes:\n\n* Our AI-powered software\n* 2 off-the-shelf robotics arms with mounted depth cameras\n\n_How it works:_\n\n* Scientists describe protocols in plain English\n* Zeon interprets them, detects lab tools using computer vision, and plans the execution\n* The system generates and executes robotic code in real-time, adapting to the specific lab environment\n\n![uploaded image](/media/?type=post&id=89951&key=user_uploads/379901/f18d8421-74dc-4213-8f17-a91419504529)\n\n# **What’s Possible**\n\nWe are already piloting with labs at UCSF and Stanford to:\n\n* Run fluorescence screens for nanoparticles overnight\n* Automate multichannel pipetting for clinical assays\n* Dispose of biohazardous waste while researchers sleep\n\n# **Big Picture**\n\nEventually, we want to **enable labs that run themselves**. Think self-driving labs on Mars or in the middle of the ocean doing science while humans dream. 🪐 🧪🧬\n\n# **The Team**\n\n[Brontë](https://www.linkedin.com/in/bronte-kolar/) built electronic systems for electric aircraft and high-density battery packs before pivoting to computational biology research at UCSF, UC Berkeley, and Erasmus Medical Center. \n\n[Tahir](https://www.linkedin.com/in/tahirdme/) has been building software and ML for science labs basically all his adult life, doing computational research at IIT, Yale and working in biotech and pharma across India and the US.\n\n# \n\n# **Our Ask**\n\nWe are looking for **pilot partners** interested in deploying our system in their labs! \n\n* **Know a scientific lab or company that should work with us?** → Email us at [founders@zeonsystems.ai](mailto:founders@zeonsystems.ai) \n* **Resonate with our message?** → Share this post (or our [promo video](https://www.youtube.com/watch?v=x-jid99QPFA))\n\n—\n\n[_Let’s make science move faster._](https://www.zeonsystems.ai/)\n\n\\-Brontë + Tahir\n\n![uploaded image](/media/?type=post&id=89951&key=user_uploads/379901/3896ab4e-84de-4bfd-ad2e-7fd6f0462be3)\n\n", "url": "https://www.ycombinator.com/launches/NOp-zeon-systems-ai-powered-robotics-for-lab-automation", "votes": 65, "created_at": "2025-04-29T23:00:50.835Z" } ] }, { "id": 30445, "name": "Mbodi AI", "slug": "mbodi-ai", "former_names": [ "mbodi AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff64e6d141801dbac20dba751384bbd49f916a4a.png", "website": "https://www.mbodi.ai/", "all_locations": "New York City, NY, USA", "long_description": "Teach robots new skills through natural language and run reliably in production in minutes.\r\n\r\nMbodi combines generative AI and agent orchestration, turning everyday language and quick demos into precise, reliable robot actions for industrial automation.", "one_liner": "Industrial Robots that Learn and Operate Like Humans", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1747670628, "tags": [ "Robotics", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mbodi-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/mbodi-ai.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mbodiai", "x_url": "https://x.com/mbodiai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/mbodiai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff64e6d141801dbac20dba751384bbd49f916a4a.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": 1639266, "full_name": "Sebastian Peralta", "title": "Founder/CEO", "founder_bio": "Interested in making humans lazier.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sebjperalta", "x_url": "https://x.com/sebjperalta", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53dc9bdb64b25f4747b238dc99fe2c79d0b2cc31.jpg" }, { "user_id": 1111983, "full_name": "Xavier (Tianhao) Chi", "title": "Founder", "founder_bio": "Building the future of AI x Robotics\nEx-Google TL, 8.8.8.8, Guardian of the Internet.\nECE @ UIUC", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/xavierchi/", "x_url": "https://x.com/chitianhao", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/983ab0d4bb8ac297b97811c83724ded2b8c13dbe.jpg" } ], "jobs": [ { "id": 104525, "title": "Founding Research Engineer", "url": "https://www.ycombinator.com/companies/mbodi-ai/jobs/NJF6jNS-founding-research-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "0.50% - 2.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "ML", "Python", "AI Agents" ] }, { "id": 104526, "title": "Senior Robotics Engineer", "url": "https://www.ycombinator.com/companies/mbodi-ai/jobs/KHiy8Yk-senior-robotics-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$150K - $250K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "How Mbodi is solving robotics’ scaling problem, with Xavier Chi | TechCrunch", "url": "https://techcrunch.com/podcast/how-mbodi-is-solving-robotics-scaling-problem-with-xavier-chi/", "date": "Sep 09, 2026" }, { "title": "Meet Mbodi, Automate’s 2026 Startup Challenge winner | Association for Advancing Automation", "url": "https://www.automate.org/ai/industry-insights/meet-mbodi-automates-2026-startup-challenge-winner", "date": "Jul 06, 2026" }, { "title": "Mbodi will show how it can train a robot using AI agents at TechCrunch Disrupt 2025 | TechCrunch", "url": "https://techcrunch.com/2025/10/27/mbodi-will-show-how-it-can-train-a-robot-using-ai-agents-at-techcrunch-disrupt-2025/", "date": "Oct 26, 2025" }, { "title": "10 Most Exciting AI Agent Startups at YC Demo Day Spring Cohort 2025 - Business Insider", "url": "https://www.businessinsider.com/y-combinator-yc-demo-day-spring-ai-agent-startups-2025-6", "date": "Jun 10, 2025" }, { "title": "Mbodi AI launches on Y Combinator, developing embodied AI for industrial robots", "url": "https://www.therobotreport.com/mbodi-ai-launches-y-combinator-developing-embodied-ai-industrial-robots/", "date": "May 22, 2025" } ], "launches": [ { "id": 90633, "title": "Mbodi AI- Embodied AI for Industrial Robotics", "tagline": "Teach robots new skills through natural language and run reliably in production, in minutes.", "body": "Hey friends [👋](https://emojipedia.org/waving-hand)\n\nThis is [Xavier](https://www.linkedin.com/in/xavierchi/) and [Sebastian](https://www.linkedin.com/in/sebbyjp/) - Co-Founders of Mbodi AI, and we are making robots learn like humans.\n\n# **TL;DR**\n\n**We’re building an embodied AI platform that lets anyone teach robots new skills — just by talking to them.** No code. No engineers. No week-long reprogram. Mbodi turns natural language and quick demos into precise, reliable robot actions that run in production in minutes, and adapt as often as you need.\n\nWe are now rolling out real-world deployments to customers with a joint commercialization partner, [ABB](https://new.abb.com/products/robotics), the world’s leading robot manufacturer.\n\nhttps://youtu.be/CwRxP3_F9MA\n\n# 🚨 **The Problem**\n\nManufacturing is facing a critical inflection point.\n\n**Labor crisis:** Labor accounts for nearly half of global GDP ($40+ trillion), but over 70% of factories face severe labor shortages.\n\n**Flexibility gap:** Traditional robots require week-long reprogramming by engineers or specialists every time things change.\n\n**Untapped automation potential:** Hundreds of billions of dollars in manufacturing tasks, especially those with high variation, remain out of reach for automation because robots can’t adapt fast enough.\n\nThis mismatch, between inflexible robots and ever-shifting production needs, leaves a massive automation gap across global manufacturing. We simply need robots to be more **versatile**. It wasn’t quite possible — **until now**.\n\n# **🧠 How Mbodi AI Helps**\n\nMbodi is an embodied AI platform that makes robots learn like humans, with natural language. So anyone can teach robots new skills by talking to them and execute the learned skills reliably in production, in minutes.\n\n![uploaded image](/media/?type=post&id=90633&key=user_uploads/1111983/cd7897e7-4fc9-4137-8c3d-2b6fe0b487bb)\n\nWe’ve built a cloud-to-edge system that takes your instructions, understands the environment, makes a plan, and turns it into precise, safe robot actions. All within a second. Our universal agent framework can run across any robotic hardware, coordinating perception, reasoning, planning, and control in real time.\n\n* 🕐 No week-long reprograms\n* 👷‍♂️ No on-site engineers\n* 🗣️ Just say what you want done\n* 🏭 Run reliably in production\n\nWhen one robot learns something, the entire fleet does. Individual skills can be reused, repurposed, and adapted instantly — across machines, factories, and tasks.\n\n# 🚀 **What’s Happening**\n\nWe’re moving toward real-world deployments after entering a joint commercialization agreement with ABB Robotics, one of the world’s leading robot manufacturers, following our win in their global AI Startup Challenge from among hundreds. This represents a first-of-its-kind system in industrial automation.\n\nWe’re building toward a world where robots are as easy to teach and adapt as software — turning them into true consumer commodities and making automation accessible to every factory and beyond.\n\n# 📣 **Our Ask**\n\nIf you're a **manufacturer**, **system integrator**, or **robot maker** exploring more flexible and intelligent automation, we’d love to connect and solve automation challenges that were previously out of reach.\n\nReach us at: [**founders@mbodi.ai**](mailto:founders@mbodi.ai)\n\nWe’re also strong advocates of the open-source community. We open-sourced one of our libraries, [embodied-agents](https://github.com/mbodiai/embodied-agents), to enable seamless integration of transformer models into robotics stacks, with more open-source projects coming in the future.\n\n# 👥 **The Team**\n\n[Sebastian Peralta](https://www.linkedin.com/in/sebbyjp/) is a physicist, roboticist, and deep learning researcher. Before Mbodi, he was a core engineer at Google Public DNS (8.8.8.8), and earned a triple major (EE, CS, Physics) from UPenn, where he also conducted graduate research at the GRASP Robotics Lab.\n\n[Xavier (Tianhao) Chi](https://www.linkedin.com/in/xavierchi/) is a former tech lead of Google Public DNS (8.8.8.8), one of the world’s most critical internet services, with work featured in[ The Register](https://www.theregister.com/2023/01/19/google_dns_queries/) and topping[ Hacker News](https://news.ycombinator.com/item?id=39960125). He holds bachelor's and master's degrees in ECE from UIUC.\n\n![uploaded image](/media/?type=post&id=90633&key=user_uploads/1111983/87381bac-5704-43f6-9fa3-1796b4af0f53)\n\nWe started Mbodi after seeing robots fall short of their potential — stuck in brittle code and long deployment cycles. With breakthroughs in generative AI and agentic systems, we’re building a future where robots can truly learn, adapt, and scale.\n\n![uploaded image](/media/?type=post&id=90633&key=user_uploads/1111983/447ef918-87d3-4a90-a120-04274434878f)\n\n", "url": "https://www.ycombinator.com/launches/NZp-mbodi-ai-embodied-ai-for-industrial-robotics", "votes": 98, "created_at": "2025-05-22T14:25:21.451Z" } ] }, { "id": 30484, "name": "throxy", "slug": "throxy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5384c6c535d7bcbaf2c4cee7af212ec06f70e79d.png", "website": "https://throxy.com/", "all_locations": "London, England, United Kingdom", "long_description": "throxy builds custom vertical AI agents and pairs them with human SDRs and ultra personalised email sequences to book meetings for B2B software companies selling into traditional industries (e.g. manufacturing, logistics, construction, supply chain)\r\n\r\nOutbound is broken. Generic automation gets ignored and decision-makers in legacy sectors are hard to reach. Most of your TAM isn't even on LinkedIn, and tools like Clay, Apollo, and ZoomInfo only cover about 65% of the market. throxy fixes this by running bespoke, fully managed outbound systems for software sales teams trying to crack these industries. We use proprietary scraping tools to map your entire addressable market, then combine AI agents with human experts to deliver hyper-personalised email campaigns and human cold calling that is consistently generating six-figure qualified pipelines.\r\n\r\nSince 2023, throxy has powered outbound for B2B software companies, from industrial SaaS to fintech providers, replacing the need for internal SDR teams or stacks of tools with a solution that outperforms on both speed and quality. Today, we have a team of 55 across London and Cape Town, booking on average 8 to 12 qualified meetings per month per client, with some clients seeing 20+ in their first weeks after we doubled down on human-led cold calling.\r\n\r\nAI handles the data: building custom databases, scoring leads against your ICP, and personalising outreach at scale. Humans handle the conversations: real cold calls, real emails, real relationships. That's the difference between us and every AI SDR on the market.\r\n\r\nOur founding team has built AI at JP Morgan, scaled businesses from age 14, and led enterprise sales from Seed to Series D. We're not just automating outbound, we're redefining what sales execution looks like for software companies selling into traditional industries.\r\n\r\nthroxy is the \"AI SDR\" purpose-built for the sectors software forgot.", "one_liner": "Vertical AI agents running B2B outbound on autopilot, with human SDRs", "team_size": 55, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1745521572, "tags": [ "B2B", "Sales", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/throxy", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/throxy.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/throxy/", "x_url": "https://x.com/throxyai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5384c6c535d7bcbaf2c4cee7af212ec06f70e79d.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": 1343484, "full_name": "Arnau Ayerbe Garcia", "title": "Founder/CEO", "founder_bio": "making it easier to speak with your ideal customers.\n\nno more repetitive manual outreach.\n\nthe future is human connections.", "is_active": true, "linkedin_url": "https://linkedin.com/in/arnau-ayerbe", "x_url": "https://x.com/arnauaye", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d9e71a30d2dbad290115d0ca608d4a196a6376bd.jpg" }, { "user_id": 1547143, "full_name": "Pablo Jimenez de Parga Ramos", "title": "Founder", "founder_bio": "we call your ideal customers so you can close more deals.", "is_active": true, "linkedin_url": "https://linkedin.com/in/pjdepargar", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/07f49c122418cf03b199bd4a8fc6acd40592f8eb.jpg" } ], "jobs": [ { "id": 95056, "title": "Sales Development Representative (SDR)", "url": "https://www.ycombinator.com/companies/throxy/jobs/ncqidMq-sales-development-representative-sdr", "location": "Cape Town, WC, ZA / Cape Town, Western Cape, ZA / Johannesburg, GP, ZA / Johannesburg, Gauteng, ZA / Remote (ZA)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "£45K - £55K GBP", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 95747, "title": "Summer Intern", "url": "https://www.ycombinator.com/companies/throxy/jobs/bgsg88w-summer-intern", "location": "London, England, GB / Remote", "type": "Internship", "role": "Sales", "role_type": null, "salary_range": "£25K - £55K GBP", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [] }, { "id": 108617, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/throxy/jobs/BJ4GQ0I-software-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£70K - £120K GBP", "equity_range": "0.01% - 0.05%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Amazon Web Services (AWS)", "TypeScript" ] } ], "news": [ { "title": "Base10-backed Throxy challenges AI sales giants with pay-per-meeting model", "url": "https://venturebeat.com/ai/base10-backed-throxy-challenges-ai-sales-giants-with-pay-per-meeting-model", "date": "Sep 04, 2025" } ], "launches": [ { "id": 90134, "title": "throxy | Book meetings without the busywork.", "tagline": "You want more meetings, but outbound? Total nightmare. We’ll fix it for you.", "body": "Hey everyone 👋 — we’re **Bergen**, **Pablo**, and **Arnau**, and we’re building **throxy**.\n\nHiring SDRs is expensive. Managing tools is a full-time job. Agencies spam your market and burn trust.\n\nWe started throxy in 2023 because we lived the chaos, and knew there had to be a better way.\n\n\n\n### ❌ The Problem\n\n* Building an SDR team takes months, and burns $150K+ before you see results.\n* Tool stacks (Clay, Instantly, Apollo, etc.) require constant management and constantly break.\n* Most agencies rely on automation and generic messaging that _kills trust_.\n\nCompanies selling into legacy industries suffer most, where reaching the right decision-makers requires **trust, precision, and care**.\n\nIf you’ve sold into sectors like manufacturing, logistics, healthcare, or finance, you’ve felt it: **complex buyers, long sales cycles, and real consequences.**\n\nSpray-and-pray doesn’t work here.\n\n**We win where others fail — in industries where trust isn’t optional, and precision means pipeline.**\n\n### ✅ Why Throxy Wins\n\nWhere most AI sales tools generalise, **we specialise**.\n\nWe design, build, and run **fully-managed outbound systems, so you don’t have to** — combining AI-powered execution with human-level strategy.\n\nYou tell us your ICP and how many meetings you want. We handle the rest.\n\n* 🔍 **AI-powered research** to find real decision-makers — not just job titles\n* ✍️ **Hand-written** **messaging** with your buyer’s language — not templates\n* 🛠 **Deliverability stack**: domains, warmup, inboxes — all done for you\n* 🧠 **Human-led strategy** from operators who’ve sold in these sectors\n* 📅 **Qualified meetings**, delivered to your calendar — no tools, no SDRs, no micromanagement\n\nWe’re already generating **six figures in pipeline** for B2B companies selling into hard-to-crack industries like manufacturing, logistics, finance and healthcare. Built for founders, CEOs, CROs, and sales teams.\n\n![uploaded image](/media/?type=post&id=90134&key=user_uploads/1293483/4da51dcd-3789-4946-af08-86ccf54ca594)\n\n### 💡 Why We're Building This\n\nWe believe outbound should be **automated, intelligent, and deeply humanised,** not a messy stack of disconnected tools and guesswork.\n\nSales teams should focus on building relationships and closing deals, not juggling tools, bloated teams or manual workflows.\n\n**throxy’s vision is a world where outbound is fully automated yet precisely human, freeing up human capital to think, connect, and close.**\n\n### 👋 Meet the Founders\n\n* **Bergen** built his first online business at 14 and brings operational execution at scale\n* **Pablo** ran enterprise sales from Seed to Series D, and knows how to break into tough markets\n* **Arnau** led early GPT-2 and BERT systems at JP Morgan and drives AI & product\n\n### 👇 Want to see what “done-for-you” outbound _actually_ looks like?\n\nWe’re live. We’re booking meetings.\n\nAnd we’re looking to partner with more companies targeting traditional industries.\n\nIf you're scaling outbound and are not getting results, let us run your outbound, so you can run your business.\n\n📬 [founders@throxy.com](mailto:founders@throxy.com) | 🌐 [throxy.com](https://throxy.com/?utm_source=ycombinator&utm_medium=post&utm_campaign=yc_launch&utm_id=yc_launch)\n\n![uploaded image](/media/?type=post&id=90134&key=user_uploads/1293483/b5efeb76-2c0b-48ef-91c4-eeb1b4939e5f)\n\n", "url": "https://www.ycombinator.com/launches/NRm-throxy-book-meetings-without-the-busywork", "votes": 200, "created_at": "2025-05-06T15:16:43.124Z" } ] }, { "id": 30531, "name": "Moby Analytics", "slug": "moby-analytics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2113434e52531a77ccec1fd7bb7d5596dc0b6f6d.png", "website": "https://www.mobyanalytics.com/", "all_locations": "Paris, Île-de-France, France", "long_description": "At Moby Analytics, we provide the first AI agentic platform built for financial auditors. Auditors easily create and deploy AI agents to automate audit workflows. No code, just prompts and domain expertise.", "one_liner": "AI financial auditors", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1747161163, "tags": [ "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/moby-analytics", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/moby-analytics.json", "year_founded": null, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/in/dimitri-kassubeck-69764647/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2113434e52531a77ccec1fd7bb7d5596dc0b6f6d.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": 2582095, "full_name": "Dimitri Kassubeck", "title": "Founder/CEO", "founder_bio": "Dimitri is the founder and CEO of Moby, an AI-powered platform for financial auditors. Before Moby, Dimitri worked a decade in the financial industries serving the largest companies in the world.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dimitri-kassubeck-69764647/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1f8acd7cf1901ead37e30b25cbc62a9ed05250ef.jpg" }, { "user_id": 2582831, "full_name": "Thomas Rapilly", "title": "Founder/CTO", "founder_bio": "CTO @Moby Analytics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/thomas-rapilly-00481167/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/41eda8ca364cadbbdf21967648b322f9c5c6433b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90445, "title": "Moby Analytics 🐳 AI Platform for Financial Auditors", "tagline": "Ending manual work. Unleashing auditors' potential.", "body": "Hey YC!\n\nWe’re [Dimitri](https://www.linkedin.com/in/dimitri-kassubeck-69764647/), [Thomas, ](https://www.linkedin.com/in/thomas-rapilly-00481167/)and [Clément ](https://www.linkedin.com/in/cl%C3%A9ment-sengelen-09261354/)- co-founders of [Moby Analytics](https://www.mobyanalytics.com/en) - and we’re ending manual work in audit, so auditors can reclaim time for high-value thinking.\n\n❌ **Problem**\n\n**Auditors spend 50% of their time on the wrong things.**\\\nChasing documents, sorting PDFs, and manually checking numbers.\\\nAll of it steals time from what truly matters: analysis and judgment.\n\n![uploaded image](/media/?type=post&id=90445&key=user_uploads/2582095/26d5c027-fc6c-434d-8700-11f9eb9ae60a)\n\n💡**Solution**\n\nAt Moby Analytics, **we’re ending manual work in audit**—so auditors can reclaim time for high-value thinking.\n\nWith Moby, auditors automate repetitive tasks and analyze data, in their own way. We’ve built the first AI platform that **lets auditors create and deploy their own AI agents**—no code needed. Just prompts and audit expertise.\n\nhttps://www.youtube.com/watch?v=ivqOkh9xBaU\n\n🔨_Create an Agent :_\n\n![uploaded image](/media/?type=post&id=90445&key=user_uploads/2582095/ecbc0b6f-a5e5-448e-b92d-5375600e07e5)\n\n🔍 _Review the agent’s work :_\n\n![uploaded image](/media/?type=post&id=90445&key=user_uploads/2582095/baaf0c19-b22e-4300-9789-660aa1803099)\n\n**👌Team**\n\nWe’re three long-time friends—**Dimitri**, **Thomas**, and **Clément**—on a mission to bridge the gap between audit and tech.\n\nWe started by building a data analytics agency, **training hundreds of auditors to use data and AI tools**. And we saw firsthand what they could achieve when they had the right tools.\n\n**That’s why Moby exists: to unleash auditors’ potential.**\n\n![uploaded image](/media/?type=post&id=90445&key=user_uploads/2582095/776ce6eb-ea8f-4bdf-ab1c-cee5b9ae8ed2)\n\n**🙏 Our ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Can you introduce us to **audit firm leaders** (CEO, Chief Transformation Officer, CTO)?\n* Can you introduce us to auditors who have a **strong interest in AI** solutions?\n\nContact: [dimitri.kassubeck@mobyanalytics.com](https://dimitri.kassubeck@mobyanalytics.com)\n\n![uploaded image](/media/?type=post&id=90445&key=user_uploads/2582095/6dc65535-69e6-4bbd-ae36-fd96a2c11522)\n\n", "url": "https://www.ycombinator.com/launches/NWn-moby-analytics-ai-platform-for-financial-auditors", "votes": 38, "created_at": "2025-05-15T21:01:16.920Z" } ] }, { "id": 30630, "name": "Lark", "slug": "lark", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d081c0c274bbf68a2b6814e7891694bfd2e2c515.png", "website": "https://getlark.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Lark lets teams write end-to-end tests in plain English. Validate dashboards, APIs, SDKs, and full product flows without maintaining fragile test code. Run continuously on feature branches, in CI, or in production.", "one_liner": "The E2E testing layer for AI-driven development", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1755281037, "tags": [ "Developer Tools", "B2B", "DevOps", "Automation", "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": null, "url": "https://www.ycombinator.com/companies/lark", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/lark.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lark-ai/", "x_url": "https://x.com/uselark_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d081c0c274bbf68a2b6814e7891694bfd2e2c515.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/dde1456e1891c9345ebb69dffab5223aaacd994a.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 242901, "full_name": "Vijit Dhingra", "title": "Founder", "founder_bio": "Vijit is the co-founder of Lark. \n\nHe previously spent five years at a Stripe as a tech lead where he built their usage based billing product and other payments infrastructure. He also contributed to testing infra at Stripe to improve developer productivity and product reliability. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vijitdhingra/", "x_url": "https://x.com/VijitDhingra1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/849364ab5c5c0f34e874a00a2bb15cc5967a68f0.jpg" }, { "user_id": 923500, "full_name": "Jack Brown", "title": "Founder", "founder_bio": "Jack is the co-founder of Lark.\n\nPreviously, Jack built usage-based billing at Stripe to support the complex pricing models of the worlds biggest AI companies. Prior to his previous role, Jack led engineering teams at fast-growing startups, where he built developer tooling infrastructure to improve developer productivity.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jackcbrown/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c34bd17fd36246287d0b0df7be2df253d0bd7192.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95995, "title": "Lark: Stripe without the workarounds", "tagline": "Delete your billing code", "body": "**Problem** 🔴\n\nToo often, customers tell us they use Stripe for billing but when I ask how they manage their credits or track usage, I always hear the same answer: “we built it in-house”. These pricing models are not edge-cases. They’re the new normal in the age of AI.\n\n**Solution** ⚒️\n\n[uselark.ai](https://uselark.ai) is a modern billing platform with the flexibility to support any pricing model (credit-based, usage-based, hybrid, dimensional, token-based, etc…) at any scale (**10x more** than Stripe).\n\nWhether you’re building an AI powered API or a B2B SaaS product, Lark provides everything (including checkout + customer-facing portal) you need to implement complex billing logic without the hassle.\n\nA few nice things about us -\n\n* You don't have to manage any webhooks or store custom billing state (like stripe customer id) in your database\n* Our APIs are simple. You don't have to integrate with a separate checkout API. We also provide [frontend SDKs](https://docs.uselark.ai/guides/subscriptions/feature_access/) to check billing state (like remaining credits, feature access)\n* Seamless pricing changes that automatically apply to your customers without involving engineers\n* We also help you track margins & LLM costs per customer for AI applications\n\n📘 **Quickstart**: https://docs.uselark.ai/\n\n![uploaded image](/media/?type=post&id=95995&key=user_uploads/923500/df8c7258-bc58-4c50-99a2-79b06af9fd50)\n\n**Checkout + customer-facing portal included**\n\nNo separate APIs, state management, or webhooks\n\n![uploaded image](/media/?type=post&id=95995&key=user_uploads/923500/6adaf51f-5012-4edd-b7f8-773cf5688eff)\n\nCustomer-facing portal includes real-time usage and subscription management\n\n![uploaded image](/media/?type=post&id=95995&key=user_uploads/923500/062c65c1-3ddf-409b-bfad-aaf95f24c116)\n\n**Scalability**\n\nLark supports up to 1M events per second so you don’t have to worry about pre-aggregating your data.\n\n![uploaded image](/media/?type=post&id=95995&key=user_uploads/923500/79359907-1af9-4baa-a5c4-cac78402715e)\n\n**Team**\n\n[Vijit](https://www.linkedin.com/in/vijitdhingra/) and [Jack](https://www.linkedin.com/in/jackcbrown/) both previously built the [usage based billing](https://stripe.com/billing/usage-based-billing) and [customer portal](https://docs.stripe.com/customer-management) product at Stripe.", "url": "https://www.ycombinator.com/launches/OyJ-lark-stripe-without-the-workarounds", "votes": 25, "created_at": "2025-12-04T22:37:50.310Z" }, { "id": 93109, "title": "Lark: AI Agents for Billing", "tagline": "We build AI agents to solve billing issues for subscription companies. ", "body": "**TL;DR** \n\nLark helps subscription companies automate customer billing support inquiries, manage chargebacks, and prevent fraud.\n\nhttps://youtu.be/gmg8HxjaS1Q\n\n**Problem**\n\nBilling your customers is hard.\n\nTeams spend tens of hours every week attending to billing support inquiries and customers often wait days to receive a response. You also have to worry about fraud and chargebacks.\n\nAll of this is distracting for your team and no one likes working on this. Ignoring the issue leads to frustrated customers, risk of being banned from your payment processor, and lost revenue.\n\n**Solution**\n\nLark provides AI agents that automate all of this for you.\n\nOur agents integrate with your billing provider, support system (e.g. zendesk), and data sources to gather context about the customer and take actions on your behalf. The agents’ decisions are evaluated against strong guardrails to ensure their actions are safe and follow your policies.\n\n**Team**\n\n[Vijit](https://www.linkedin.com/in/vijitdhingra/) and [Jack](https://www.linkedin.com/in/jackcbrown/) both previously built the usage based billing product and customer portal for a large billing provider. Jack has solved billing issues at several startups. \n\n**Our Ask**\n\nIf you’re tired of dealing with billing issues or know someone who is, we’d love to chat! We’re currently working with a few large consumer companies and are actively looking to onboard more customers. We’re also happy to chat about anything in the billing space!\n\n**Contact Info**\n\n[founders@uselark.io](mailto:founders@uselark.io)\n\n[Book time here](https://calendly.com/founders-uselark/lark-chat)", "url": "https://www.ycombinator.com/launches/ODl-lark-ai-agents-for-billing", "votes": 43, "created_at": "2025-08-18T19:33:29.250Z" } ] }, { "id": 30669, "name": "Slashy", "slug": "slashy", "former_names": [ "Dash" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e6667cfdd83f59c43fda8940767ec6748fe44b96.png", "website": "https://www.slashy.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Slashy is an AI-native email client for founders and operators. It drafts replies in your voice from your sent mail, triages your inbox, tracks follow-ups, keeps your calendar in the inbox, and can be run from iMessage, Slack, or an AI agent through its MCP server. Slashy works with Gmail, Google Workspace, Outlook.com, and Microsoft 365, on web, Mac, and iOS.", "one_liner": "Cursor for Email", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1750786342, "tags": [ "Productivity", "Enterprise Software", "Automation", "Email", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 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/slashy", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/slashy.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/slashy-email/", "x_url": "https://x.com/slashyemail", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e6667cfdd83f59c43fda8940767ec6748fe44b96.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": 2067448, "full_name": "Harsha Gaddipati", "title": "Founder/CEO", "founder_bio": "Changing email with Slashy :) \n\nSign up at slashy.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/harsha-gaddipati-032bb820a/", "x_url": "https://x.com/GaddipatiHarsha", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92acbfaee472f1cb2f0391cce84807835e411573.jpg" }, { "user_id": 1584972, "full_name": "Dhruv Roongta", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Slashy, the AI-native email client. Studied Computer Science at Georgia Tech; previously interned at Groq, Pulse (S24), and Greptile (W24), and won prizes at CalHacks and HackMIT.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dhruv-roongta-421a7b214/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f726696878d0aea7136b4e35aa639a734d81387c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108791, "title": "Slashy - start saving 2 hours a day on email", "tagline": "Slashy drafts replies in your voice, schedules meetings, and handles follow ups, so you spend less time managing email, and more time on what matters", "body": "Hey everyone we’re Harsha and Dhruv from Slashy. Our goal is to define the next generation of email, by building an email platform that actually works for you, and learns over time. \\\n\\\n**TLDR:** Slashy is the next big email platform after Superhuman, the first with an assistant built in. Slashy can do everything from writing drafts in your tone, texting you when an important email comes in, prepping you for calls, to the things you expect from a true email client like keyboard shortcuts, open tracking, a mobile app and more. All while continuously learning about you and your preferences, so it only gets better over time. The average user takes 5 minutes to get set up and saves an extra hour a day. Read an independent review from Tom’s guide (1m+ subscribers) [here](https://www.tomsguide.com/ai/slashy-is-the-ai-email-app-replacing-notion-mail-heres-why).\n\nYou can get started for free at [slashy.com](http://slashy.com), and use our YC deal for a long-term discount.\n\n**Launch Video:** \n\n## **Problem**\n\nMost founders we speak to, have one of two problems (sometimes both)\n\n1. They spend too much time manually handling email, and not enough building their company.\n2. They don’t spend enough time on email, and lose important deals/hires due to things slipping.\n\n## **Solution**\n\nThat’s why we built Slashy, the first email platform that reliably gets work done for you, whether it be drafting emails, notifying you when a prospect replies, schedule meetings, or more. Slashy works wherever you work best, so onboarding is seamless (just ask some of our users). It takes 10 minutes to set up, and saves the average email power user an extra one hour a day. It does this by:\n\n1. **Doing all the basic things right:** Stuff like keyboard shortcuts, open tracking, unified inbox, team comments, availability links, all come part of Slashy. So you don’t lose anything transitioning from Gmail, Superhuman, Front and more. ([@Jayme Hoffman](https://bookface.ycombinator.com/user/60463) actually switched to Slashy being surprised just that a new email client could match the speed, shortcuts of something like Superhuman)\n2. **Writing drafts that sound like you:** Claude drafts sound like slop because they just look at the thread. Slashy does a lot more, it looks at the linkedin/web of recipients, past emails you’ve sent, past changes you’ve made to prior drafts, and more including using our own custom-built memory system for email. (Fun fact we have a special tool for handling suggesting times/scheduling as base llms are very bad at this). ([@Michelle Marcelline](https://bookface.ycombinator.com/user/379052) pretty much just hits send on all her Slashy drafts with minimal edits)\n3. **A powerful sidebar:** Slashy comes with a cursor-like sidebar. That lets you do things like search, draft, schedule and more. So you no longer need to keep flipping between ChatGPT and your email. ([@Yahia Bakour](https://bookface.ycombinator.com/user/2538368) loves this to power thorugh drafts and replies)\n4. **Integrations:** Slashy connects to not just your email, but your meeting notes (Granola, Fathom, Circleback, etc.), crm (Attio, Hubspot, Salesforce, etc.), Notion and more since the context to handle email isn’t just in email. ([@Pavlos Markesinis](https://bookface.ycombinator.com/user/2511438) loves how Slashy connects to his Attio and makes life simple)\n5. **Automations:** The best assistants also know when to handle things in the background. So Slashy can also automatically do things like prep you for calls, text you when an important email comes in, and more. ([@Owen Botkin](https://bookface.ycombinator.com/user/2579867) relies on Slashy to prep him from calls, and [@Pranav Madhukar](https://bookface.ycombinator.com/user/1531197) doesn’t even check his email anymore unless Slashy alerts him an email comes in)\n6. **iMessage/Slack Bot:** One of the worst parts of traditional clients? You need to open them to see if something important comes in. Slashy can ping you on text/slack so you don’t even need to context switch. (@devansh is one of our bigger Slack fans, while [@Abhinav Gopal](https://bookface.ycombinator.com/user/979064) for iMessage).\n7. **Voice:** Sometimes it’s easier to speak your mind than write (or you’re driving and just can’t haha). So Slashy lets you dictate your thoughts, and our AI will make it sound like a much better version of you. Or you can talk with our voice to voice agent when you’re commuting (@vishruth is one of our power users for our voice drafts).\n8. **Personalized Memory:** Slashy gets better the more you use it. It keeps notes on how you write, who you talk to, when you schedule, and also it learns from every edit you made before hitting send. It even once a week goes back and rewrites its notes to better match you. After all you'd expect a human assistant to be smarter after a few months, why not your ai one. ([@Devraj Gopal](https://bookface.ycombinator.com/user/2057015) loves how Slashy has grown to know him more and more).\n9. **Natural Language Labels:** A common complaint we hear is the rise of the AI SDR, and how everyone’s inbox is inundated with emails. The problem with traditional labelling systems is they don’t adjust over time, leading to important emails getting missed. Slashy’s labelling system does, leading to a much better filtering rate, and fewer dropped balls. ([@Nazli Danis](https://bookface.ycombinator.com/user/520906) was drowning in spam before Slashy)\n\n## Security and Privacy\n\nWe take security/privacy as an email client very seriously.  We’ve already gotten CASA, and SOC II. We also get monthly pen-tests done by [@Casco](https://bookface.ycombinator.com/company/30477) to ensure our users' data is safe. None of our AI providers train on your data as well.\n\n## Getting Started\n\nNow if you want to get started just go to[ slashy.com](http://slashy.com), or you can book a time here if you’d like me to demo the product/ask any questions just shoot an email to [founders+ea@slashy.com](mailto:founders+ea@slashy.com), and Slashy will schedule a time that works for both of us :)", "url": "https://www.ycombinator.com/launches/SIh-slashy-start-saving-2-hours-a-day-on-email", "votes": 33, "created_at": "2026-08-03T03:07:19.686Z" }, { "id": 92851, "title": "Slashy: The AI for Work", "tagline": "Slashy is the AI assistant that slashes through repetitive work", "body": "Slashy is the AI assistant that slashes through repetitive work: meeting prep for sales, automatic JIRA ticket creation, updating your CRM, and more.\n\nWe built Slashy after watching brilliant people waste hours every day on tasks that should be automated. They weren't trying to build another AI tool, they wanted to build the AI that makes all your other tools finally work together.\n\nSlashy gets users 10+ hours back every week to focus on the work that actually matters.\\\n\\\nBook a meeting: https://cal.com/slashy/30min or try it out at [slashy.ai](http://slashy.ai)\\\n\\\nhttps://youtu.be/F5ptH79YvNM", "url": "https://www.ycombinator.com/launches/O9b-slashy-the-ai-for-work", "votes": 27, "created_at": "2025-08-08T20:59:23.348Z" }, { "id": 91949, "title": "Dash: AI That Actually Gets Work Done", "tagline": "Meet Dash: An AI agent that connects to your Gmail, Slack, Notion, and more to complete work autonomously.", "body": "**We built an AI agent that connects to your Gmail, Slack, Notion, and more to complete work autonomously.**\n\n# [usedash.ai](http://usedash.ai) | [founders@usedash.ai](mailto:founders@usedash.ai)\n\n## The Problem\n\nKnowledge workers spend 90% of their time on manual, repetitive tasks that could be automated. Current AI tools like ChatGPT operate in isolation; they can't update Notion databases, search across Slack, or send emails.\n\n## Our Solution\n\nDash is an AI agent that connects to your tools (Gmail, Slack, Notion, Linear, Google Docs, HubSpot, calendar, and more) to complete entire tasks.\n\nhttps://youtu.be/kFPAxXAUlq8\n\n## Real Examples from Beta Users\n\n**\"Weekly team update\"**\n\n* Reads Slack channels for key discussions\n* Checks Linear tickets for sprint progress\n* Pulls metrics from HubSpot and Notion\n* Compiles and emails formatted report\n\n**\"New enterprise lead follow-up\"**\n\n* Adds leads to Hubspot with enriched data\n* Creates qualification tasks in Linear\n* Schedules follow-up calls in calendar\n* Notifies team in Slack with context\n\n**\"Daily standup agenda\"**\n\n* Pulls yesterday's completed Linear tickets and today's planned work for team members\n* Generates standup summary in Notion\n\n## We're Looking For\n\n**Know someone who is tired of switching between tools instead of making a real impact?**\n\nWe're perfect for folks who are tired of context-switching between Notion, Slack, emails, docs and more.\n\nPerfect for:\n\n* **Founders** \n* **PMs** \n* **Operations folks**\n\n**Try it for free:** [usedash.ai](http://usedash.ai)\n\n![uploaded image](/media/?type=post&id=91949&key=user_uploads/2067448/a58c2bd9-c956-48b3-a2e3-632b5cfbc418)\n\n", "url": "https://www.ycombinator.com/launches/Nv3-dash-ai-that-actually-gets-work-done", "votes": 83, "created_at": "2025-07-08T06:16:45.784Z" } ] }, { "id": 30756, "name": "Notte", "slug": "notte", "former_names": [ "nottelabs", "Nottelabs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/63003c4a4bcce138151403c1e186fcebf3dfa34a.png", "website": "https://www.notte.cc/", "all_locations": "San Francisco, CA, USA", "long_description": "Notte is cloud browser infrastructure for AI agents. Sessions with live view and replays, residential proxies, stealth and CAPTCHA solving, authenticated profiles with account creation and 2FA, payments in the browser, and serverless functions that run next to the browser, all through one API", "one_liner": "Browser infra for AI agents: sessions, auth, proxies, payments", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1752518156, "tags": [ "Developer Tools", "API", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/notte", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/notte.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nottelabsinc/", "x_url": "https://x.com/nottecore", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/nottelabs", "github_url": "https://github.com/nottelabs/notte", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/63003c4a4bcce138151403c1e186fcebf3dfa34a.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": 2385904, "full_name": "Andrea Pinto", "title": "Founder/CEO", "founder_bio": "Founder & CEO @ Nottelabs", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pinto-andrea", "x_url": "https://x.com/ogandreakiro", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e922f0aa6636612bd86c44857b540590f563ec1.jpg" }, { "user_id": 2782127, "full_name": "Lucas Giordano", "title": "Founder/CTO", "founder_bio": "Founder & CTO @ Nottelabs", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/giordano-lucas/", "x_url": "https://x.com/lucas_gdno", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a38dedb494cc5b77003b77c0c2fe58aea2bf109a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93601, "title": "Nottelabs: Web Agents for Enterprise", "tagline": "Reliable Web Agents that can act and scrape on any site at scale", "body": "**TLDR;** Notte provides a platform to build and deploy web AI agents that don’t break. We turn messy, repetitive web tasks into reliable, self-healing workflows so businesses can scale automation with confidence.\n\nhttps://www.youtube.com/watch?v=uwTOpQTUfyk\n\n**Context**\n\nWe built Notte because the web was made for humans, not AI agents. Our first product was a perception layer that helps LLMs parse and understand site structure, boosting agents’ performance. But 90% isn’t enough to scale enterprise workflows with confidence.\n\n**Agent Workflows**\n\nThat’s why we launched **Agent Workflows** - where web automation meets agentic reasoning. Start an agent to discover the workflow, freeze the routine into deterministic steps, and keep agents only where it’s needed to unlock new capabilities. If a site changes, agents dynamically close the gap to ensure workflows never break.\n\nLess tokens = Less expensive = More control = Faster automation\n\n**Full-stack Ecosystem**\n\n* **Hosted Sessions** - Stealth mode and auto-scaling browser\n* **Vaults** - Credentials, MFA tokens, SSO, and cookies securely\n* **Personas** - Emails and phone numbers for account creations\n* **Payments** - Credit card payments and agentic transactions\n* **Misc** - File IO, Replays, CDP compatibility, etc.\n\n**The founders**\n\n![uploaded image](/media/?type=post&id=93601&key=user_uploads/2385904/142c16f2-bc85-464a-9b5d-63f84caa5549)\n\nHey - We’re **Andrea Pinto** and **Lucas Giordano**. We’ve known each other for 6 years and bring deep technical expertise. We led ML and LLM research at MIT, Oracle, and IBM Research, and have spent years building in the web automation space.\n\n**Asks -** SIGN UP here: https://console.notte.cc/ and shoot us a message with the hard web workflows you’re trying to address and we’ll solve them with you. Email: [founders@notte.cc](mailto:founders@notte.cc)", "url": "https://www.ycombinator.com/launches/OLh-nottelabs-web-agents-for-enterprise", "votes": 82, "created_at": "2025-09-04T19:52:00.082Z" } ] }, { "id": 30861, "name": "Caddy", "slug": "caddy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a18ef62feeed4267cb16429f2de1d3e6abbb159.png", "website": "https://caddy.app/", "all_locations": "New York City, NY, USA", "long_description": "If you’ve got a lot to do, we believe AI can make things feel doable. Caddy is our core product: a Personal AI that helps you stay on top of everything going on. All you have to do is text. \r\n\r\nOn overwhelming days, it’s super simple to just drop any task in a text thread, and Caddy will help you handle it. Caddy also keeps an eye on your calendars, chats and tasks to make sure you stay focused on what matters. If something needs you, Caddy will nudge you, or can just do it if you don’t have time. \r\n\r\nThe best part is, no two Caddys are alike. The more you use Caddy, the more it learns your vibe, how you work, and what you care about. ", "one_liner": "Your Personal AI for everyday work. Lives in your texts.", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1761153567, "tags": [ "Automation", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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": null, "url": "https://www.ycombinator.com/companies/caddy", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/caddy.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/try-caddy/", "x_url": "https://x.com/try_caddy", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a18ef62feeed4267cb16429f2de1d3e6abbb159.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": 816824, "full_name": "Connor Waslo", "title": "Founder/CEO", "founder_bio": "Co-founder of Caddy. Building the operating system that understands your workflows and gets work done for you. Previously led product for Loom's AI Suite and Monetization team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/connor-waslo/", "x_url": "https://x.com/ConnorWaslo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d8d8643232c2dbf39e1033e522507a22d616968.jpg" }, { "user_id": 2945950, "full_name": "Rajiv Sancheti", "title": "Founder/COO", "founder_bio": "Co-founder of Caddy. Building the operating system that understands your workflows and gets work done for you. Previously led design for Loom’s AI suite, and before that, worked at Airbnb and KP Fellows.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rajivsancheti/", "x_url": "https://x.com/sanchetio", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f880b5dcccfb7e73d449f8caaeb35326d129e32f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95249, "title": "Caddy: The Voice Interface for Your Computer", "tagline": "Changing how people work across their computer and apps with voice", "body": "Hey everyone, we’re [Connor](https://www.linkedin.com/in/connor-waslo/) and [Rajiv](https://www.linkedin.com/in/rajivsancheti/).\n\nWe led Loom’s AI suite and saw firsthand how natural language was changing how people work. Now we’re building Caddy, the voice interface for your computer that lets you automate work across all your apps.\n\nJoin the waitlist at [trycaddy.ai](http://trycaddy.ai)\n\n**Launch video:** https://www.youtube.com/watch?v=v1HwM9mBYHU\n\n### **The problem**\n\nWork today happens across a maze of apps. Slack for messaging. Linear for tickets. Gmail for communication. Calendar for scheduling. Every task requires jumping between tabs and tools.\n\nEven with AI everywhere, we are still using the same old interfaces. Voice assistants like Siri or Alexa can answer trivia but cannot do real work. They do not understand what is on your screen, what app you are in, or what you mean when you say “follow up on this.”\n\nThe result is constant context switching, lost flow, and hours wasted on work that should happen automatically.\n\n### **What we are building**\n\nCaddy lives on your desktop and lets you operate your computer with your voice. It has two simple modes.\n\n**Action mode:** You speak your intent, and Caddy takes action.\n\nAsk Caddy to create a ticket in Linear, send a message in Slack, or schedule a meeting in Calendar. Caddy sees what is on your screen and connects it to your apps, so you can stay focused on the work that matters.\n\n**Dictation mode:** Never type again\n\nWrite emails, respond to messages, or leave comments anywhere text input exists. It is a direct replacement for typing that works globally across your computer.\n\nTogether, these two modes let you automate work and control your computer completely with your voice.\n\n![uploaded image](/media/?type=post&id=95249&key=user_uploads/2945950/d99dbe1c-8793-4405-a7ca-568f05c831fd)\n\n### **Who Caddy is for**\n\nWe are starting with founders, operators, productivity power users and the voice first generation who spend their days moving between tools and losing time to repetitive work. If that sounds like you, we would love to get you early access.\n\nTo join our waitlist add your email at [trycaddy.ai](http://trycaddy.ai) or shoot us a message [founders@trycaddy.ai](mailto:founders@trycaddy.ai)\n\n### **The team**\n\nBefore starting Caddy, [Connor](https://www.linkedin.com/in/connor-waslo/) and [Rajiv](https://www.linkedin.com/in/rajivsancheti/) spent four years at Loom where they led product and design for Loom’s AI suite and core product.", "url": "https://www.ycombinator.com/launches/OmH-caddy-the-voice-interface-for-your-computer", "votes": 149, "created_at": "2025-11-06T16:34:46.562Z" } ] }, { "id": 30904, "name": "Tensr", "slug": "tensr", "former_names": [ "Core", "Tensr", "Core" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f3743327b1fc85ded6caddbd532e0c600eb2cb0.png", "website": "https://tensr.com/", "all_locations": "Emeryville, CA, USA", "long_description": "Robotic factories that build robotics in the US. Currently operating a 12,000 sqft factory in the Bay Area and actively manufacturing customer orders for some of the largest robotics companies in the US and the International Space Station.\r\n\r\nWe’re a group of Berkeley graduate robotics researchers who previously won a full scale autonomous IndyCar competition at 160mph.", "one_liner": "Robotic factories that build robots", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1763065446, "tags": [ "Deep Learning", "Hardware", "Robotics", "Automation", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tensr", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/tensr.json", "year_founded": 2025, "city": "Emeryville", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tensrinc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f3743327b1fc85ded6caddbd532e0c600eb2cb0.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": 2763027, "full_name": "Eric Berndt", "title": "Founder/CEO", "founder_bio": "Robotic factories that build robots in the US. Prev Robotics researcher @ UC Berkeley where I raced autonomous Indy500 cars at 160mph", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ekberndt/", "x_url": "https://x.com/ekberndt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8136fef854af650d0b22ac083d6585e09121a8ed.jpg" }, { "user_id": 916548, "full_name": "Adith Sundram", "title": "Founder/CTO", "founder_bio": "Founder @ Tensr. Robotics, ML and Controls @ UC Berkeley", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adithsundram", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dd20d8f9a84f4b33da6805740257605ff2175494.jpg" }, { "user_id": 2763062, "full_name": "C.K. Wolfe", "title": "Founder", "founder_bio": "Founder, Tensr. CS PhD (AI, Robotics), UC Berkeley. Former Technical Program Manager, UC Berkeley robotics lab under Berkeley AI Research (BAIR). Secured $17M+ in DARPA and industry sponsorship across Stanford and UC Berkeley via AI Racing Tech (2024). Team Manager during top-ranked U.S. league season. Editor-in-Chief of UC Berkeley BAIR’s official AI research publication (BAIR Blog).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ckwolfe/", "x_url": "https://x.com/ckwolfeofficial", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9656e4b1ee0b0c58c5a7df8df5bcb18614685e68.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 112228, "title": "Tensr - Robotic Factories that Build Robots from Humanoids to Robots for the International Space Station", "tagline": "Robotic Factories that Build Robots", "body": "Robotic factories building robots. Today we have a 12,000 sqft factory in the Bay Area manufacturing everything from full humanoids to robots for the International Space Station.\n\nOur thesis: Revitalizing domestic manufacturing means driving costs down through automation. We are building an autonomous factory that is able to autonomously process a new order end to end from prototyping to large batch production. That means supply chain management, design for manufacturing, industrial machine retooling, robotic adaptation, quality inspection, packaging, and logistics all automated. Goal: Create a factory that can autonomously go from placed customer order to completed unit scale manufacturing run in 24 hours.\n\nWe are currently manufacturing production runs from top labs, full humanoids, and even have a partnership to manufacture robotics for the International Space Station. We've also built supply chain relationships in electronics, actuators, SMT, computing, pneumatics, and raw material suppliers.\n\nA snippet of some of our machines in the factory:\n\n![uploaded image](/media/?type=post&id=112228&key=user_uploads/2763027/777065e0-e83d-4501-8799-8c490e883851)\n\n![uploaded image](/media/?type=post&id=112228&key=user_uploads/2763027/30775e59-e171-4949-b959-3dc06ffa5322)\n\n## **Manufacturing at the Core**\n\nThis isn't just a robotic manipulation company. Its a manufacturing company.\n\nInternally we have pipelines autonomous building large databases of actuators, and raw tracking and trying to predict what items will need to order now to meet our next day targets.\n\n## **The Harness**\n\nThe entire factory is a data harness we can \"backprop\" learnings through from errors in the customer designs, failed supply chain prediction, slow retoolings, to inaccurate robotic manipulation. Our core belief is that robotic machine learning should not rely on human data to scale but instead learn to improve from its own mistakes in the real world in real time. This closes the manufacturing data gap that currently limits large-scale factory automation.\n\n![uploaded image](/media/?type=post&id=112228&key=user_uploads/2763027/2baf7c74-80e3-49bb-a6bf-712ce0fb30fc)\n\n![uploaded image](/media/?type=post&id=112228&key=user_uploads/2763027/4ed0acb3-e1bc-4210-b4d0-b3f3614bc8da)\n\n## **Any Robot Anywhere**\n\nOur thesis is simple. We should be able to make an robot for any environment whether that be a humanoid for the factory floor or a robot for Low Earth Orbit. We currently have a partnership with the ISS to manufacture a robots for the space station.\n\nNASA Houston, Johnson Space Center\n\n![uploaded image](/media/?type=post&id=112228&key=user_uploads/2763027/e4558cfa-cf98-447a-acaf-7e83650e73a7)\n\n## **Team**\n\nAt heart we're a team of Roboticists. Before Tensr we were the leads for a Berkeley lab's autonomous racing team where we raced autonomous full-scale IndyCars at over 160mph as the ML, Sim, and Robotic Controls leads.\n\n![uploaded image](/media/?type=post&id=112228&key=user_uploads/2763027/c3772faa-f515-4ee0-b32e-2e586b3ae8e3)\n\nWe previously worked in industrial automation, aerospace manufacturing, medical device manufacturing, Berkeley AI Research (BAIR), physics simulation, and secured $17M+ in DARPA / industry sponsorship for UC Berkeley / Stanford research.\n\nOur founding engineers range from Berkeley Robotics PhD, ex-NASA, to 10+ years of manufacturing experience.\n\n## A Better World\n\nOn a personal note, not only do I believe we have the opportunity to build a great business but also to make a positive impact on the world. Automate away environmentally harmful materials, eliminate waste 0.1% at a time, and drive steady-state COGS toward only the fundamental inputs (materials and electricity), unlocking strong margins while collapsing the price of everyday goods / cost of living.\n\nLets build a better world :)\n\nA full view of our vision here:[ tensr.com/whitepaper](https://www.tensr.com/whitepaper)", "url": "https://www.ycombinator.com/launches/TC8-tensr-robotic-factories-that-build-robots-from-humanoids-to-robots-for-the-international-space-station", "votes": 6, "created_at": "2026-08-25T21:00:00.441Z" }, { "id": 95506, "title": "Tensr: Building Autonomous Robotic Factories", "tagline": "Building fully autonomous robotic factories that make scaling hardware as effortless as scaling on AWS", "body": "We're building fully autonomous robotics factories at Tensr to create the AWS of manufacturing. Our factories will receive on-demand orders from customers and spin up robots to operate industrial machinery, package, and ship the finished product all in 24 hours.\n\n![uploaded image](/media/?type=post&id=95506&key=user_uploads/2763027/704a7eb3-1ffc-4fc3-b806-32f3fd256418)\n\n[**https://youtu.be/HLijIfoDfpA**](https://youtu.be/HLijIfoDfpA)\n\n**Problem**\n\nMoving fast in manufacturing today doesn't exist. Iterating designs for manufacturing takes months of back and forth getting samples from China and pre-ordering manufacturing capacity several months before the holiday rush, only then to wait several weeks for shipping praying there isn't a strike at the docks. At the same time we see the complete collapse of America industrial capacity as American workers and experience leave the field and contracts are sent overseas.\n\n**Solution**\n\nWith the robotics revolution, for the first time it is possible to fully reimagine the factory floor - moving from rigid lines to modular stations, even in high mix settings. However, we believe that automating manufacturing is more than just deploying a foundation model or a humanoid into an existing factory.\n\nFactories need to be designed from the ground up _around_ robots, not the other way around.\n\nOver the past few weeks we turned our living room into an autonomous factory floor, with stations for CNC, moving stock, and a focus on assembly. After demo day, we'll expand to a full manufacturing facility, and start supporting batch orders of all sizes from other companies throughout the country. Currently we also are in talks to provide our own assembly models to other distributors.\n\n![uploaded image](/media/?type=post&id=95506&key=user_uploads/2763027/706f70f4-47a7-4466-8281-5cf6d081da43)\n\n![uploaded image](/media/?type=post&id=95506&key=user_uploads/2763027/e6420b31-3e74-49d3-b751-c901c5379665)\n\n**Team**\n\nWe're a battle-hardened team of UC Berkeley graduate robotics researchers (from Berkeley AI Research (BAIR)) who met in a lab, previously worked on and managed multiple DARPA contracts and led an autonomous IndyCar team where we raced full scale autonomous Indycars at 160mph (250kmh) as the Machine Learning, Simulation/Team Manager, and Robotics Control leads respectively.\n\n\\- [Eric Berndt](https://x.com/ekberndt) - MS/BS EE/CS, UC Berkeley, CoFounder + CEO\n\n\\- [Adith Sundram](https://www.linkedin.com/in/adithsundram/) - MS/BS ME, UC Berkeley, CoFounder + CTO\n\n\\- [C.K. Wolfe](https://x.com/ckwolfeofficial) - Current PhD AI/Robotics, UC Berkeley, CoFounder\n\nIn addition, our team brings direct operational experience from Rockwell Automation (industrial automation), aerospace manufacturing, and FDA-regulated medical-device production\n\n![uploaded image](/media/?type=post&id=95506&key=user_uploads/2763027/f907544d-cb70-45d2-b043-708a6739e40c)\n\n**Our Ask**\n\nWe're offering early manufacturing / prototyping pilots for hardware companies of all sizes as the new year starts and we open our first facility. If you or anyone you know fits in this bucket, reach out to [**founders@tensr.com**](mailto:founders@tensr.com)!\n\n![uploaded image](/media/?type=post&id=95506&key=user_uploads/2763062/4e53c620-4423-4e57-b0cf-a25b750d0539)\n\n", "url": "https://www.ycombinator.com/launches/OqQ-tensr-building-autonomous-robotic-factories", "votes": 365, "created_at": "2025-11-14T01:26:45.320Z" } ] }, { "id": 30917, "name": "Bravi", "slug": "bravi", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/293f67239064e77044472c7d1555aed47f6899c7.png", "website": "https://www.bravi.app/", "all_locations": "New York City, NY, USA", "long_description": "Bravi helps manufacturers of windows, doors, and other home improvement products turn fragmented technical and commercial data into tools their teams can use instantly. \r\n\r\nOur AI platform helps sales, customer service, and field teams answer technical questions, configure complex products, generate quotes, and retrieve order information by connecting to existing documentation, catalogs, ERP, CRM, and pricing systems.\r\n\r\nBravi is already live with leading installers and manufacturers across Europe and the US, turning missed demand into revenue.", "one_liner": "AI operating system for home improvement manufacturers", "team_size": 8, "industry": "B2B", "subindustry": "B2B", "launched_at": 1759871932, "tags": [ "B2B", "Manufacturing", "Automation", "Home Services", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "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 (Anas and Pierre-Habté) met at UC Berkeley in 2017 and immediately started working together on tech projects. After co-founding Snipfeed, scaling it to 20+ people, and selling the company in 2024, we knew we wanted to build again together.\r\n\r\nThe idea for Bravi came from a very personal pain point: my family runs a shutter installation business in France, and I saw firsthand how many calls and leads were missed every day. On top of that, I launched a side business, Volet Dumont, selling shutters online, and experienced the same chaos with quoting and customer communication.\r\n\r\nWe realized installers were losing 30–40% of potential revenue just from slow follow-ups, missed calls, and disorganized workflows. With our background in automation and product scaling, we decided to tackle it head-on.\r\n\r\nThat’s how Bravi was born: combining our founder-market fit, validated by hundreds of conversations with installers, with the conviction that AI assistants could transform how home service companies capture and convert leads." } ], "url": "https://www.ycombinator.com/companies/bravi", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/bravi.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/braviapp", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/293f67239064e77044472c7d1555aed47f6899c7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7636c7fb91d9cf0122d51febfbb6e191e9cd47ab.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/9b42378c39210eacfa059a9799e1f5a2645d4ad1.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 231836, "full_name": "Anas Bouassami", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Bravi (YC F25), the AI communication platform for home service companies. \nAlongside Bravi, he also runs Volet Dumont, an online rolling shutter business that serves as a live testing ground for Bravi’s technology and customer workflows.\nHe previously co-founded Snipfeed in 2017, where he scaled the company to 20+ employees before its acquisition in 2024. \nAnas holds a Master Degree from UC Berkeley and a Bachelor of Science in Mechanical Engineering from EPFL.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anas-bouassami", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/843c0e7207b31b53a786edabe00362860887c3a1.jpg" }, { "user_id": 231673, "full_name": "Pierre-Habte Nouvellon", "title": "Founder", "founder_bio": "Co-founder and CPTO of Bravi. Previously co-founded and exited Snipfeed ($7M raised, 20+ employees). South American Math Olympiad #1. Trained as a space/aerospace engineer before moving into ML and AI product.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pierre-habte-nouvellon/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef29a9e4166d4b4e83e3e4bf6f92ae1c5d6a3601.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94602, "title": "Bravi - AI voice and chat assistants for home service companies", "tagline": "The AI assistant that helps home service companies capture every lead", "body": "👋 We’re [Pierre-Habté](https://www.linkedin.com/in/pierre-habte-nouvellon/) & [Anas](https://www.linkedin.com/in/anas-bouassami/) from [Bravi (F25)](https://bravi.app/) and we are bulding AI voice and chat assistants for home service companies.\n\nyoutube.com/watch?v=Zl3jtIK_yco&feature=youtu.be\n\n**TL;DR:** Bravi builds **AI voice & chat assistants** for home service installers (shutters, solar, HVAC, carpentry) and manufacturers. We help them capture every lead, follow up instantly, and close more jobs.\n\n### **Problem**\n\n**Missed revenue**\n\nMost installers and manufacturers selling directly to consumers lose **30–40% of potential revenue** because they miss calls, don’t answer emails, and fail to respond to chats in time. Every unanswered lead is lost business.\n\n**Broken communication workflows**\n\nSales, admin, and field teams rely on **manual callbacks, scattered inboxes, and slow CRMs**, which makes it impossible to respond instantly or follow up consistently. That lag costs them real money.\n\n**Tools not made for them**\n\nGeneric chatbots and call centers don’t understand **home service workflows** — quotes, site visits, or product specs — leaving customers frustrated and companies unable to scale efficiently.\n\n### **Solution**\n\n![uploaded image](/media/?type=post&id=94602&key=user_uploads/231836/5c45980d-e8ee-4351-bb93-f7f115717a92)\n\nBravi fixes this with AI agents that:\n\n* **Answer calls & chats** 24/7\n* **Pre-qualify leads** (project type, urgency, location)\n* **Book** **callbacks** for the team\n* **Create tasks & reminders** for team members to ensure follow-through\n* **Generate** and **Send** **quotes** automatically\n\n### **Our Story**\n\nThis isn’t theory. We (Anas & Pierre) met at UC Berkeley in 2017. After co-founding and scaling our first startup to 20+ employees (acquired in 2024), we wanted to build again, this time in a space we knew personally.\n\n![uploaded image](/media/?type=post&id=94602&key=user_uploads/231836/4bd905c2-fa8c-4c65-91dc-f0891a474e13)\n\nAnas grew up in a **family shutter installation business** and later launched an **online shutter e-commerce store** (Volet Dumont). Both showed us the same pain: installers drowning in leads, but losing 30–40% of potential revenue.\n\nThat’s how **Bravi** was born.\n\n### **🙏 Our Ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Do you know **installers, manufacturers, or contractors** in home services (shutters, solar, HVAC, carpentry…) who struggle with missed calls or slow follow-ups?\n\n 👉 Invite them to test **Bravi** for free at [www.bravi.app](http://www.bravi.app)\n* Can you introduce us to **B2B2C manufacturers** selling directly to consumers who could benefit from AI assistants handling their inbound calls, chats, and emails 24/7?\n* Are you working with or know **digital agencies** or **industry partners** that build websites for installers and could integrate Bravi’s AI assistants into their clients’ sites?\n\n💬 We’d love to connect — every intro or feedback helps us make sure **no home service business ever loses a lead again**\n\n📩 Reach us anytime at [**anas@bravi.app**](mailto:anas@bravi.app)\n\n![uploaded image](/media/?type=post&id=94602&key=user_uploads/231836/0ee0d771-04a0-4722-b59f-761dfd5ecbcf)\n\n", "url": "https://www.ycombinator.com/launches/Obq-bravi-ai-voice-and-chat-assistants-for-home-service-companies", "votes": 40, "created_at": "2025-10-13T17:33:41.518Z" } ] }, { "id": 30943, "name": "Aside", "slug": "aside", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e9196c93cd4fc802b51eabcb6432760d1efd3fb.png", "website": "https://aside.com", "all_locations": "San Francisco, CA, USA", "long_description": "Aside is an AI browser that completes real work across the websites you already use. It can sign in through your browser, work inside email, dashboards, internal tools, docs, and spreadsheets, and keep going when a task takes minutes or hours.\r\n\r\nUnlike agents that depend on integrations, Aside uses the web the way you do. Browsing history becomes local memory, so it knows which tools and context matter. Its password manager lets agents autofill credentials without exposing secrets to the AI. Sensitive actions like payments, posts, and messages wait for your approval.\r\n\r\nWe achieved state-of-the-art on agentic browsing benchmarks, surpassing OpenAI and Anthropic's result- Aside ranked #1 across Mind2Web, Odyssey, bu-bench-v1.", "one_liner": "The browser built to do real work for you", "team_size": 8, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1760485553, "tags": [ "SaaS", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Consumer" ], "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/aside", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/aside.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/showcase/asidehq", "x_url": "https://x.com/AsideAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/at-inc/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e9196c93cd4fc802b51eabcb6432760d1efd3fb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b6937d01eda60304dd53f923c04c9412ae29df0e.png" ], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 1576589, "full_name": "Jun Kim", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Aside (YC F25) / founding member of Airbridge.io since age 17 ($30M ARR). crafted products from OS, DB to K-POP since my age 9.", "is_active": true, "linkedin_url": "https://linkedin.com/in/therne", "x_url": "https://x.com/hyojun_at", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a08d34995961dc97330e3173e8d4dc547de9fdd.jpg" }, { "user_id": 709934, "full_name": "Chanhee Lee", "title": "Founder/CPO", "founder_bio": "Co-founder, Aside (F25)\nFounding Engineer at Airbridge.io, helped scale the company from $0 to $30M ARR. Founded a non-profit organization backed by Microsoft at age 15.", "is_active": true, "linkedin_url": "https://linkedin.com/in/hiddenest", "x_url": "https://x.com/hiddnest", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1b87cc625fc41ae82630e443d124af836c7e0eea.jpg" }, { "user_id": 2372908, "full_name": "Sanghun Lee", "title": "Founder/CTO", "founder_bio": "Co-founder of Aside (F25) - Started coding at 14 and saw an app I built reach 1M+ downloads", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dsa28s/", "x_url": "https://x.com/dora_lee_1344", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b484602d8f2dce50943829a2fc18f2d27f0733cf.jpg" } ], "jobs": [ { "id": 100433, "title": "MTS - Founding Designer", "url": "https://www.ycombinator.com/companies/aside/jobs/Iw9ggf8-mts-founding-designer", "location": "San Francisco, CA, US / Remote", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "$150K - $230K", "equity_range": "0.50% - 1.50%", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "TypeScript", "Figma" ] }, { "id": 100434, "title": "MTS - Mobile Engineer (iOS)", "url": "https://www.ycombinator.com/companies/aside/jobs/JPoBOxV-mts-mobile-engineer-ios", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "iOS", "salary_range": "$160K - $300K", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "iOS", "Swift", "Distributed Systems", "Software Architecture" ] }, { "id": 100863, "title": "GTM", "url": "https://www.ycombinator.com/companies/aside/jobs/2CqWz53-gtm", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $180K", "equity_range": "0.25% - 0.75%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 111323, "title": "MTS - Agent Harness", "url": "https://www.ycombinator.com/companies/aside/jobs/hXg7r91-mts-agent-harness", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $300K", "equity_range": "0.50% - 1.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "TypeScript", "Distributed Systems", "Software Architecture", "Evals", "AI Agents" ] }, { "id": 111489, "title": "MTS - Product", "url": "https://www.ycombinator.com/companies/aside/jobs/rlEnHD9-mts-product", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $300K", "equity_range": "0.50% - 1.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "TypeScript" ] } ], "news": [ { "title": "With ChatGPT Atlas shutting down, here are the AI browsers people actually use - 9to5Mac", "url": "https://9to5mac.com/2026/07/10/with-chatgpt-atlas-shutting-down-here-are-the-ai-browsers-people-actually-use/", "date": "Jul 10, 2026" }, { "title": "As the browser wars heat up, here are the hottest alternatives to Chrome and Safari in 2026 | TechCrunch", "url": "https://techcrunch.com/2026/05/30/as-the-browser-wars-heat-up-here-are-the-hottest-alternatives-to-chrome-and-safari-in-2026/", "date": "May 30, 2026" }, { "title": "The Top Startups To Watch From Y Combinator’s Fall 2025 Batch", "url": "https://www.forbes.com/sites/dariashunina/2025/11/13/the-top-startups-to-watch-from-y-combinators-fall-2025-batch/", "date": "Nov 13, 2025" } ], "launches": [ { "id": 95050, "title": "Aside: Live answers for enterprise tech sales", "tagline": "We help tech sales reps answer technical questions during calls.", "body": "**TL;DR** [Aside](https://asidehq.com/?utm_source=launch_yc) listens to your sales calls and surfaces answers from your docs, Slack, and past calls, helping tech sales reps answer technical questions.\n\n![uploaded image](/media/?type=post&id=95050&key=user_uploads/1576589/8b08bb03-388b-48f9-a9c5-198a0329db44)\n\nHey 👋, we're Jun, Chanhee, and Sanghun, the founders of [Aside](https://asidehq.com/?utm_source=launch_yc).\n\nEveryone’s using AI for sales these days - emails, outreach, everything - except the part that actually matters: the call.\n\n## ❌ Problem: The Knowledge Gap in Sales\n\nSales reps often freeze when faced with technical questions. Like:\n\n> Are HSTS or strict transport policies enforced during data transmission?\n\nMost say, _“Let me get back to you”,_ and the deal cools off. That’s why teams burn $60K+ a year on coaching, mock calls, and LMS exams. I’ve paid that bill too.\n\nBut onboarding drags. Products change fast. Tech-savvy AEs are rare.\n\nWhat if your reps could pull the right answers instantly– straight from your best calls, API docs, or Slack threads?\n\n## ✨ Solution: Let your reps cheat on sales calls\n\n[Aside](https://asidehq.com/?utm_source=launch_yc) listens to your sales calls and surfaces real-time answers pulled from your docs, HubSpot, or past calls. It's like pressing **𝚌𝚝𝚛𝚕+𝚟** on your company’s knowledge into every rep – so anyone can sound like your best rep.\n\n**_🎬 Watch our [launch video](https://youtu.be/ZZVn6w0o8jQ) 👇_**\n\n---\n\n---\n\n# How it works\n\n\\*\\*🔎 Get answers from your docs, Slack, and past winning calls.\\*\\*\\\nWhen a tough question hits, just click **“How can I answer?”** - the right answer lands in 800ms. No guessing, no “let me get back to you”.\n\n![uploaded image](/media/?type=post&id=95050&key=user_uploads/1576589/873df5e6-aeb0-4bc6-bc89-ff00031ecf4c)\n\n📝 **Live coaching that catches what you miss**\\\nWhen you miss a key pain point, Aside flags it live — before the deal goes cold. It nudges what to ask next and coaches you using your playbook — BANT, SPICED, whatever your team runs on.\n\n![uploaded image](/media/?type=post&id=95050&key=user_uploads/1576589/667d0f76-a05a-46ff-9d2f-4fa8a781f218)\n\n💬 **Preload your cheatsheets as Live Cards**\\\nTurn your best answers into in-call cards that pop up right when you need them. No more flipping tabs — your best answers, ready the moment the question hits.\n\n![uploaded image](/media/?type=post&id=95050&key=user_uploads/1576589/d9b7fd18-89bb-418d-a733-85713ab3f4a1)\n\n**🎓 Coaching feedback, remembered by AI**\\\nAfter the call, Aside reviews what happened, gives you feedback, and turns it into live suggestions for the next one - so you never repeat the same mistake.\n\n![uploaded image](/media/?type=post&id=95050&key=user_uploads/1576589/efb28b23-26ec-49b4-a50e-a66616439ca6)\n\n# Our story\n\nJun and Chanhee were the founding engineers of [Airbridge.io](http://Airbridge.io). Jun worked with 50+ reps as a solutions consultant - the person who answers technical questions on calls. So basically, we're replacing our past selves with AI!\n\n# Ask\n\n* Try it: [AsideHQ.com](https://asidehq.com)\n* Know any B2B tech startups that are actively hiring new reps? Intro us!\n* Been using sales coaching tools? Reach out to us! (_we have a special offer for you_)\n\n## Reach us\n\nJun - [jun@asidehq.com](mailto:jun@asidehq.com) / [LinkedIn](https://www.linkedin.com/in/therne/) / [X](https://x.com/hyojun_at) / 628-529-8098\\\nChanhee - [chanhee@asidehq.com](mailto:chanhee@asidehq.com) / [LinkedIn](https://linkedin.com/in/hiddenest) / [X](https://x.com/hiddnest) - 628-529-6213", "url": "https://www.ycombinator.com/launches/Oj4-aside-live-answers-for-enterprise-tech-sales", "votes": 180, "created_at": "2025-10-31T00:30:14.965Z" } ] }, { "id": 31018, "name": "item", "slug": "item", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/489b44af8e973c25eda472f6d5b28122caeafb54.png", "website": "https://item.app", "all_locations": "San Francisco, CA, USA", "long_description": "item connects to all your customer tools, gathers and enriches context automatically, and becomes your company’s source of truth — one place where your team and your AI agents share the full picture to act autonomously.\r\n\r\nAt the center is the Assistant — your sidekick for daily work. It can send follow-ups, research leads, or add deals with a simple prompt. No complex UI, drop-downs or fields, simply ask.\r\n\r\nFor repeatable work, you build Agents that you can train like new hires, simply by writing documents that describe your processes. item Agents run business processes across sales, support, and account management autonomously.", "one_liner": "The AI-Native CRM that works for you", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1762209746, "tags": [ "B2B", "CRM", "Automation", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "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/item", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/item.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/99138518", "x_url": "https://x.com/newitemco", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/489b44af8e973c25eda472f6d5b28122caeafb54.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": 322839, "full_name": "Andres Santanilla", "title": "Founder/CEO", "founder_bio": "Building what comes after the CRM - 2nd time founder ", "is_active": true, "linkedin_url": "https://linkedin.com/in/asantanilla", "x_url": "https://x.com/asantanillaj", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a2272e34b68c83be638d7987c2bf3c18f002b52.jpg" }, { "user_id": 1639094, "full_name": "Akshay Guthal", "title": "Founder/CTO", "founder_bio": "Building what comes after the CRM", "is_active": true, "linkedin_url": "https://linkedin.com/in/akguthal", "x_url": "https://twitter.com/akguthal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4e2ee53ee004bf62a519be9c469eeb5479871fcf.jpg" } ], "jobs": [ { "id": 88275, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/item/jobs/xD9P6r7-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "0.50% - 0.99%", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "PostgreSQL", "React", "TypeScript", "Next.js", "Tailwind" ] } ], "news": [], "launches": [ { "id": 95143, "title": "item: The AI-Native CRM that works for you", "tagline": "The CRM that knows your business and works like your best employee", "body": "**Hey there 👋 we’re Akshay and Andrés, and we’re building _item._**\n\nLaunch video: https://youtu.be/x8Z5QZNjdWw\n\n\\\n**In a nutshell:**\n\n_item_ is the first agentic CRM, a system that does the work. A system that understands your business the way your best employee does, and works for you 24/7.\n\nIf you’re building the future and still running on a 10-year-old CRM, let us show you what it feels like to run autonomously → [item.app](http://item.app)\n\n**Meet Item**\n\n_item_ connects to all your customer tools, gathers and enriches context automatically, and becomes your company’s **source of truth** — one place where your team and your AI agents share the full picture to act autonomously.\n\nAt the center is the _Assistant_ — your sidekick for daily work. It can send follow-ups, research leads, or add deals with a simple prompt. No complex UI, drop-downs or fields, simply ask.\n\nFor repeatable work, you build _Agents_ that you can train like new hires, simply by writing documents that describe your processes. item Agents run business processes across sales, support, and account management autonomously.\n\n\\\n**The Status Quo**\n\nAI has changed nearly every part of work. Yet the system at the center, the CRM, hasn’t evolved. It’s manual, data incomplete, and still takes trained experts to setup and automate.\n\nWe believe a CRM should know everything about your company and be able to do human-level work on your behalf, just like your best employee would.\n\n\\\n**How it works:**\n\nAfter a meeting, item helps you send a follow-up based on the notes in that meeting and your history with that customer:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/38c59fd9-dc45-4ba6-a7db-69685a694356)\n\nitem searches the web to find information about any company or contact, allowing you to add deals with rich information without needing to enter fields yourself:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/f34649f4-38aa-4731-9b80-d49b6d2edf0d)\n\nYou can build agents in item to automate any recurring human-level process by writing a simple, Notion-style document:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/e61f581a-f4fa-402a-b16d-5955befb0a6e)\n\nitem gives you clean, context-rich contact and company profiles with table views and Kanban boards:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/2607b996-e8bc-47b4-b861-0ce9c75293cf)\n\n\\\n**How companies use item Agents today to run autonomously:**\n\n* Outbound Sales: finding and contacting qualified leads on email and LinkedIn\n* Inbound Management: qualifying and responding to leads that sign up to a waitlist or a self-serve product\n* Growing Existing Accounts: tracking customer data and automatically sending personalized upsell sequences based on usage\n* Keeping Pipeline Warm: setting up item to auto-update deals from emails and meetings\n\n\\\n**The team**\n\nWe met at AngelList, building tools to help founders start and grow companies.\n\n_item_ comes from that same spirit — built with care, designed with intention, and shaped by a decade spent building systems of record at places like SAP, IBM, and Follow-Up Boss.\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/0a95c55d-4aeb-4fe0-9888-709855648103)\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/9e59aeeb-1ac0-4bc3-9d10-ce6f463974de)\n\n", "url": "https://www.ycombinator.com/launches/OkZ-item-the-ai-native-crm-that-works-for-you", "votes": 138, "created_at": "2025-11-03T23:52:58.025Z" } ] }, { "id": 31047, "name": "Waddle Labs", "slug": "waddle-labs", "former_names": [ "Waddle" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f525546cff510b464f7877004fcc10c8f0b97843.png", "website": "https://www.waddlelabs.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "LLMs that control robots", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1784890498, "tags": [ "Developer Tools", "Generative AI", "Robotics", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/waddle-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/waddle-labs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/waddlelabs/", "x_url": "https://x.com/theWaddleLabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f525546cff510b464f7877004fcc10c8f0b97843.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": 2132817, "full_name": "Hanming Ye", "title": "Founder", "founder_bio": "Interested in how natural intelligence arises. I also like machines such as 3D printers and robots. \n\nhttps://dozenducc.github.io/", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hanming-ye-0467b01aa", "x_url": "https://x.com/DozenDucc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b813f423ca4b4732c54817689193d5602190bf5.jpg" }, { "user_id": 1853600, "full_name": "Yiding Song", "title": "Founder", "founder_bio": "Interested in systems that learn theories about the world with human-like efficiency.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yiding-song-vincent/", "x_url": "https://x.com/yiding_song", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b7078e0f6f101f74db1f4584bb6cd102051bb9f0.jpg" } ], "jobs": [ { "id": 109947, "title": "Founding Research Engineer", "url": "https://www.ycombinator.com/companies/waddle-labs/jobs/RaRUAQK-founding-research-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$175K - $350K", "equity_range": "1.00% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "ML", "Python", "Torch/PyTorch", "Distributed Systems", "Fine-tuning", "Evals", "AI Agents", "Diffusion Models" ] } ], "news": [], "launches": [ { "id": 107821, "title": "Waddle Labs - Agents that control robots", "tagline": "Claude Code for robotics - prompt your robot to do physical tasks", "body": "Waddle is the Claude Code for robotics. Connect our API to your robot and type a prompt, then our agents write code to achieve the task in \\~20 minutes.\n\n![uploaded image](/media/?type=post&id=107821&key=user_uploads/2132817/afc74f28-33c6-450c-80c3-7f2d263f213d)\n\n### **Our Hypothesis**\n\nRobot intelligence today depends either on large end-to-end VLAs or classical approaches.\n\n\\- VLAs are difficult to customise and steer, require huge amounts of data to train, and don’t yet generalise across embodiments and environment. They face limited deployment.\n\n\\- Meanwhile, classical approaches are widely deployed for their reliability and explicit control, but are often brittle and costly to redevelop in new setups.\n\n_Does this tradeoff have to be inevitable?_\n\n**Our hypothesis:** By using agents to control robots, we combine the generalisation of VLAs with the speed and reliability of classical approaches. \n\n### **Our Solution**\n\nOur agents decomposes a goal into subtasks, and completes each subtask by viewing camera feeds, writing control code, and calling models like VLAs. The agent outputs a program that you can run and iterate on by talking to our agents. \n\n**Where we've been using Waddle internally:**\n\n\\- **Create a working policy in 20 minutes** (\"Write a program to package the box\")\n\n\\- **Generate data for model training** (\"Pick and place lego bricks at random positions 1000 times\")\n\n\\- **Facilitate robotics auto-research** (\"I am tuning a policy overnight. Reset the scene after each trial”)\\\n\\\nBecause our agents are LLMs, they inherit properties of the underlying models. Agents and the code they write are inherently generalist, so they work with any robot and any environment without additional data. Moreover, agents excel at long-horizon planning and can decompose a physical goal into subtasks, verify each stage, and re-plan on failure.\n\n**Interested in trying our agents via our preview API?** Sign up at \\[our website\\]() or email [founders@waddlelabs.ai](mailto:founders@waddlelabs.ai)\n\n### **Our Research**\n\nWaddle's agents enable new forms of scaling that we are very excited about:\n\n\\- **Scaling compositional generalization:** Our agent first wrote the “fold_grasp” skill while flipping a package; another agent later used it to fold a t-shirt. Over time, agents accumulate a library of skills, enabling future agents to compose them and achieve harder tasks.\n\n\\- **Scaling multi-robot cooperation:** Imagine an entire fleet of robots collaborating to achieve a task. For VLAs, this is a nightmare. For Waddle, simply hook up more agents. A master agent spawns subagents, coordinating multiple robots working concurrently.\n\n\\- **Scaling from scale:** We evaluated Opus 4.8, Fable 5, and GPT 5.6 Sol on a suite of manipulation tasks: larger models with larger thinking budgets consistently produce better policies. As foundation models improve, so do our robots.\n\n### **The Team**\n\nWe are @Yiding Song (Vincent) and @Hanming Ye. We met at MIT’s Research Science Institute, where Vincent was working on multimodal astrophysics models and Hanming was researching topology in the math department. Since then, we’ve become roommates at Harvard where we are either doing ML research or breaking robots - usually both.\n\nThere will be millions of robots in the future. Our mission is to enable everyone to take part in building them.", "url": "https://www.ycombinator.com/launches/S33-waddle-labs-agents-that-control-robots", "votes": 11, "created_at": "2026-07-27T17:45:25.918Z" } ] }, { "id": 31145, "name": "RamAIn", "slug": "ramain", "former_names": [ "Ramain" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a10a6d3695c38f916de546238a447f1633ea982.png", "website": "https://ramain.ai", "all_locations": "San Francisco, CA, USA", "long_description": "RamAIn Employees join your team just like a human. Teach them to work across systems just like a new hire and watch them work autonomously to do the work 24/7. ", "one_liner": "RamAIn - AI Employees with a computer to perform business tasks just…", "team_size": 7, "industry": "B2B", "subindustry": "B2B", "launched_at": 1767663208, "tags": [ "Robotic Process Automation", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ramain", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/ramain.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ramain", "x_url": "https://x.com/ramainai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/ramain", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a10a6d3695c38f916de546238a447f1633ea982.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2267746, "full_name": "Shourya Vir Jain", "title": "Founder/CEO", "founder_bio": "Building the world's fastest computer-use agents for enterprise work 🍜\n- EE @ IIT Delhi\n- FIDE Chess Rating 2118, top 20 in the world under 14\n- ex-McKinsey & Company\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shouryavirjain/", "x_url": "https://x.com/SveeVJ", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b48edd363a4d2807e1d93d6d846d416b79e279c.jpg" }, { "user_id": 3198910, "full_name": "Vansh Ramani", "title": "Founder/CTO", "founder_bio": "Building the world's fastest computer-use agents for enterprise work 🍜\n- CS @ IIT Delhi\n- AI researcher at CMU working on scalable ML and representation learning\n- Published research papers at ICLR, ICML and ACS including 'Panaroma' - world's fastest vector search algorithm - later merged into Meta FAISS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ramanivansh/", "x_url": "https://x.com/vansh_ramani", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9b1b32f82ebad1410fd58a4ab062931a79c5c7dc.jpg" } ], "jobs": [ { "id": 92604, "title": "Founding AI/ML Research Engineer", "url": "https://www.ycombinator.com/companies/ramain/jobs/jezgwo5-founding-ai-ml-research-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $350K", "equity_range": "0.30% - 1.20%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Machine learning" ] }, { "id": 95468, "title": "Founding GTM Engineer", "url": "https://www.ycombinator.com/companies/ramain/jobs/hqvmyKN-founding-gtm-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K - $180K", "equity_range": "0.30% - 1.20%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 97571, "title": "RamAIn: Teach AI to use your legacy systems, desktop applications and web portals just like a human", "tagline": "With AI, we handle complex data entry and extraction operations on which RPA breaks. 10x faster than computer use agents from Google, OpenAI and Anthropic.", "body": "# \\*\\*\\*\\*\n\n**tl;dr: [RamAIn](https://www.ramain.ai/)** _intelligently_ _automates complex and repetitive work across browser and desktop applications. It doesn’t matter if you have API access or not - the general principle is: **if you can see it, RamAIn can do it.**_\n\n[RamAIn Launch Video](https://www.youtube.com/watch?v=tnVTskMw3mk)\n\nEnterprise teams are stuck **manually reading, copy-pasting and tab-switching** for hours every week. RamAIn kills the busywork so your team can get back to the real work.\n\nRamAIn agents simulate mouse and keyboard clicks to use your team’s computers just like a human to move data between your **legacy systems, desktop applications and web portals.** It dominates complex data entry and extraction tasks through UI-interaction on which traditional RPA breaks.\n\nRamAIn is **self-healing** and great at handling unexpected pop-ups or UI changes by using AI to solve for deviations it hasn’t seen before. It takes just a **few days to train and deploy** across your team’s applications and maintains a full audit-trail of decisions.\n\nUnlike current computer-use AI agents that have to think about every action while executing, **RamAIn learns UI-policies and interface structures** from your key interfaces that allows it to make decisions 10x faster while being super reliable.\n\n![uploaded image](/media/?type=post&id=97571&key=user_uploads/2267746/6806e0de-aca0-4f07-a2c4-5a8c2a53408f)\n\n_What RamAIn sees after it has learnt how to use Outlook_\n\nRamAIn is super-safe. It comes out of the box with human-in-the-loop support, giving your team real-time control over every workflow. It’s designed to augment your team, boosting productivity without replacing human expertise.\n\nThrough a simple UI overlay, RamAIn can communicate with your team in real-time, asking clarifying questions whenever context is missing or expert judgment is required.\n\n![uploaded image](/media/?type=post&id=97571&key=user_uploads/2267746/0f41ab6f-7efb-4316-a522-2cafe22191a2)\n\n_RamAIn requesting human-input in assisted mode_\n\nRamAIn unifies automations into a single agent by integrating with APIs when required and using UI-interaction where APIs aren’t available to ensure complete task coverage across both internal and 3rd-party systems.\n\n![uploaded image](/media/?type=post&id=97571&key=user_uploads/2267746/fc2923e3-da81-4140-a931-9f2964350517)\n\n_RamAIn filling up a dynamic 3rd-party form in real-time_\n\n**We’ve learnt through our customers that RamAIn is perfect for -**\n\n**Procurement Teams:** \\\n_(ERP + Supplier Portals)_\\\nVendor onboarding, PO creation, invoice matching, supplier data entry.\n\n**Insurance Brokers:** \\\n_(Carrier Portals + Brokering Platforms)_\\\nSubmit client intake across carrier portals, extract quotes, compare premiums, update internal systems.\n\n**Healthcare Providers:** \\\n_(EHRs + Lab & Payer Portals)_\\\nTransfer patient data between intake forms, manage prior authorizations, coordinate labs and payers.\n\n**Revenue Cycle Management Teams:** \\\n_(RCM Platforms + Payer Portals)_\\\nEligibility checks, claim submissions, denial follow-ups, payment posting, EOB reconciliation.\n\n**Finance & Operations Teams:** \\\n_(ERP + Legacy Finance Systems)_\\\nAP/AR automation, reconciliations, reporting, inventory updates.\n\n**Retail & Store Operations:** \\\n_(POS + Accounting Systems)_\\\nSales reconciliation, pricing updates, transaction reporting.\n\n**Pharmacy Operations:**\\\n_(Pharmacy Management Systems + Distributor Portals)_\\\nPrescription processing, insurance claim submission, inventory reconciliation.\n\n**Logistics & Transportation Teams:** \\\n_(TMS + Carrier Portals)_\\\nLoad booking, carrier updates, shipment tracking, document uploads, freight invoice reconciliation.\n\n**Is your team also drowning in manual labour?**\n\nSign up to be a design partner today —> [www.ramain.ai/automate](https://www.ramain.ai/automate)\n\n![uploaded image](/media/?type=post&id=97571&key=user_uploads/2267746/16773a2a-f59e-4e17-af88-e5d0c65c90a2)\n\n", "url": "https://www.ycombinator.com/launches/PNj-ramain-teach-ai-to-use-your-legacy-systems-desktop-applications-and-web-portals-just-like-a-human", "votes": 150, "created_at": "2026-02-06T03:22:35.642Z" } ] }, { "id": 31161, "name": "Rapidfolio", "slug": "rapidfolio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/03c9e049e23bc7dcc8df7c9c46fd48f3e74846af.png", "website": "https://rapidfolio.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Rapidfolio helps banks and fintechs fully automate back-office workflows like fraud investigations, KYB/KYC and loan underwriting, with accuracy and auditability.\r\n\r\nBuilt by fintech founders and operators, Rapidfolio is on a mission to ensure banks and fintechs scale their customer base without adding another back-office head count.", "one_liner": "AI-native back-office for banks and fintechs", "team_size": null, "industry": "B2B", "subindustry": "B2B", "launched_at": 1784234137, "tags": [ "Fintech", "SaaS", "Enterprise", "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/rapidfolio", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/rapidfolio.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rapid-folio/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/03c9e049e23bc7dcc8df7c9c46fd48f3e74846af.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b5d2e5015ae907316abef45c424725ff7c1bd646.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 334623, "full_name": "Naveen Qureshi", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO Rapidfolio, AI for fintechs and banks.\nPrev: co-founder & CEO of Sable (S19), a consumer fintech that I built, scaled to few hundred thousand accounts and sold.\nOn a mission to help banks and fintechs grow their customer base without adding another back-office headcount. Ex Capital One, Amazon, Target. Columbia Business School.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/naveen-qureshi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/35caac9e4b831d4e37de25f7c777c368e27cc364.jpg" }, { "user_id": 2636714, "full_name": "Frederik Vanhevel", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Rapidfolio (S26), where we use AI to automate the most complex financial processes with self-evolving, always-compliant, fully-auditable workflows no one else is building. Previously built two banks from scratch: founding engineer at Sable (S19, shipped in a record 3 months, pre-AI) and Seen, where I rebuilt the entire infra for the Snap Finance acquisition, built the credit decisioning engine and scaled to serve hundreds of thousands of customers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/frederik-vanhevel/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0da9e1bb6735ce1052d2b98eff490d3b95bfe76a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 106986, "title": "Rapidfolio - AI Platform for Compliance, Operations, Risk & Fraud for Fintechs and Banks 🏦", "tagline": "AI for banks and fintechs", "body": "Hi everyone 👋\\\nWe're [Naveen](https://www.linkedin.com/in/naveen-qureshi) & [Frederik](https://www.linkedin.com/in/frederik-vanhevel/), fintech founders and operators building [Rapidfolio](https://rapidfolio.com/).\\\n\\\n**TL;DR:** Rapidfolio automates the most complex manual compliance, operations, and fraud processes that analysts perform at fintechs and banks today. We do this with 100% accuracy, speed, and auditability. We are previous founders and operators in fintech, and created Rapidfolio because we wished it existed when we were running Sable (S19).\\\n\\\n**Video:**\\\n\n\n\\\n**Our Ask:**\\\n**If you are a founder or operator at a fintech** **or bank** **who**\\\ni) has a pressing need to automate manual tasks due to high volume and/or,\\\nii) needs to decrease the amount you spend annually on back-office staff or\\\niii) you simply want to build solid automation to decrease human error\\\nReach out directly: [founders@rapidfolio.com](mailto:founders@rapidfolio.com) or book a demo: \n\n**——————-**\n\n**The Problem** \n\nFintechs and banks spend up to **30% of their revenue** on operations, compliance, risk and fraud back-office staff. The back-office performs manual processes like KYC and KYB reviews, OFAC/sanctions/watchlist reviews, fraud investigations, disputes and chargebacks, mortgage and loan underwriting, and sometimes even manual data input workflows, among others. The back-office scales as a function of the number of accounts held at the fintech/bank and quickly becomes extremely costly, time consuming, and error prone. \n\nFrederik and I lived this problem firsthand. **We started Rapidfolio because we wished it existed when we were running Sable (S19)!**\n\n**Our Solution** \n\nRapidfolio turns manual compliance, operations, risk and fraud processes into accurate, auditable, and automated flows. We’re running at **100% accuracy** in production. We provide the **end to end platform and services** to:\n\n**1. Convert your existing procedure** into deterministic, automated, workflows in minutes.\n\n![uploaded image](/media/?type=post&id=106986&key=user_uploads/334623/8df4940f-c6ec-41e1-a6a5-4ccd6476667b)\n\n**2.** We generate dozens of **test cases**, including edge cases, and fully test the workflow.\n\n![uploaded image](/media/?type=post&id=106986&key=user_uploads/334623/940aa8f9-9728-47ef-9a5c-81648c0b28b8)\n\n**3.** Once tested, you can **trigger the workflow** to run it in whichever way you prefer - be it API, our scheduler, a JIRA ticket.\n\n![uploaded image](/media/?type=post&id=106986&key=user_uploads/334623/2ee48bae-3d66-487c-9e70-9ab859eb0b02)\n\n**4. You have full visibility and control:** all workflows are version controlled, and each action is auditable and traceable. You can include humans-in-the-loop where needed. All analytics live directly in your dashboard.\n\nRapidfolio provides “innate abilities” like automated web browsing, document reading/analysis, comprehensive summaries, human-level judgment, to name a few. Additionally, Rapidfolio integrates easily into your **existing tech stack**. We have built-in integrations with leadings operations, compliance and fraud vendors in the financial services industry.\n\nWe are SOC 2 compliant, and are **live with customers across the U.S. and Canada.**\n\n\\\n**The Team:**\n\n**Naveen Qureshi:** CEO and co-founder, Rapidfolio\\\nPreviously was co-founder & CEO of Sable (S19) that I built, scaled and sold. After Sable’s exit, I built and launched additional credit products with [Seen.com](http://Seen.com). Ex Capital One, Amazon, Target. Columbia Business School.\\\n\\\n**Frederik Vanhevel:** CTO and co-founder, Rapidfolio\\\nPreviously built the entire banking stack for two fintechs from scratch. First, as founding engineer at Sable (S19), where he shipped the entire banking stack in a record 3 months, pre-AI. And after Sable’s exit, with Seen.com. Fred also built internal tools for back-office staff at both fintechs, and is passionate about automating the more tedious workflows with Rapidfolio.\\\n\\\nReach out directly: [founders@rapidfolio.com](mailto:founders@rapidfolio.com) or book a demo: \n\n![uploaded image](/media/?type=post&id=106986&key=user_uploads/334623/a7390ea6-c745-4d74-9505-8a42ee86603c)\n\n", "url": "https://www.ycombinator.com/launches/Rpa-rapidfolio-ai-platform-for-compliance-operations-risk-fraud-for-fintechs-and-banks", "votes": 28, "created_at": "2026-07-23T18:42:29.801Z" } ] }, { "id": 31215, "name": "Bubble Lab", "slug": "bubble-lab", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a94fc548c8500f0d7e462b5e941cb7f149637d0.png", "website": "https://bubblelab.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Bubble Lab helps event organizers and professional communities turn a room full of people into meaningful connections. We help them understand who’s in the room, identify who should meet, make the introduction, and remember those relationships for the next event.\r\n\r\nAttendee enrichment, matchmaking, searchable member directories, applications, payments, Luma and Slack sync, onboarding, and analytics all live in one place, so a single operator can run better gatherings and build a smarter community over time.", "one_liner": "Turn gatherings into lasting relationships.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1764881455, "tags": [ "Community", "Automation", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "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/bubble-lab", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/bubble-lab.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bubblelab-ai/", "x_url": "https://x.com/bubblelab_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/bubble-lab-5a07", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a94fc548c8500f0d7e462b5e941cb7f149637d0.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": 2131392, "full_name": "Selina Li", "title": "Founder/CEO", "founder_bio": "Cofounder and CEO of Bubble Lab, previously cofounder of gymii.ai | UPenn '23, Cornell Tech MEng '25 | Competitive golfer", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/selina-li-2624a4198/", "x_url": "https://x.com/Selinaliyy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/96866d00735919acdefc5cbaeba556b4e1fafe71.jpg" }, { "user_id": 1374763, "full_name": "Zach Zhong", "title": "Founder/CTO", "founder_bio": "I like to automate everything\nCornell Tech CS'25, UCSD CS'24\nPrev co-founded gymii.ai\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zzy0516", "x_url": "https://x.com/zhubzyz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5151bc77abb854851e5026b41e16a2118e6b8eb.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98131, "title": "Bubble Lab - Supercharge your Ops work in Slack", "tagline": "Meet Pearl, your super-employee that handles your ops tasks in slack", "body": "Hey everyone! 👋\n\nWe’re [Selina](https://www.linkedin.com/in/selina-li-2624a4198/) and [Zach](https://www.linkedin.com/in/zzy0516/) from Bubble Lab. \n\n**TL;DR:** Bubble Lab lets you deploy Pearl, your ops super-employee, directly into Slack. Pearl connects to tools like Notion, Jira, and Stripe and runs real operational workflows for your team—no engineering required.\n\n**THE PROBLEM** ❌\n\nOperations work today is fragmented across dozens of tools. Updating CRMs after calls, generating reports, triaging customer issues, and coordinating workflows all require constant context switching and manual effort.\n\nAutomating these processes is even harder. Existing tools are brittle, require engineering time, or live outside where teams actually work. As a result, most ops teams still rely on manual processes, even for repetitive, predictable tasks.\n\nThis slows teams down and makes it harder to scale operations without scaling headcount.\n\n**OUR SOLUTION** 👷\n\nDemo: \n\nBubble Lab lets you deploy Pearl, your ops super-employee, directly into Slack in under a minute.\n\nWe’re already powering 4,000+ operators and fast-moving teams.\n\nPearl connects securely to your tools— Notion, Jira, HubSpot, Stripe, Google Workspace, and more—and can take action on your behalf. Teams use Pearl to:\n\n* Update HubSpot automatically after sales calls\n* Create Jira tickets from user feedback\n* Generate daily pipeline and revenue reports\n* Track and follow up on open invoices\n* Run operational workflows triggered directly from Slack\n\nWhen something needs to be repeated, Pearl turns it into a reliable workflow your team can run anytime.\n\nInstead of switching between tools or building custom automation infrastructure, teams can run and manage operations entirely from Slack.\n\n **OUR ASK 🙏**\n\nIf you run ops or growth at your company, we’d love to hear from you.\n\nTry Bubble Lab:[ https://bubblelab.ai](https://bubblelab.ai)\n\nWe’re especially excited to work with teams that want to automate operational workflows across their stack without engineering overhead.", "url": "https://www.ycombinator.com/launches/PWl-bubble-lab-supercharge-your-ops-work-in-slack", "votes": 7, "created_at": "2026-02-24T14:13:32.293Z" } ] }, { "id": 31224, "name": "Servo7", "slug": "servo7", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f0947dcd80dc342c9f938f52c6f4959bc0b1b157.png", "website": "https://servo7.com", "all_locations": "Amsterdam, NH, Netherlands", "long_description": "We deploy robots in warehouses to automate the most demanding job in logistics: unloading loose-loaded containers.\r\n\r\nOur customers include 3PLs (CEVA, Stord), distributors (DHL, PostNL) and many more logistics companies.", "one_liner": "Container unloading robots for warehouses", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1769385653, "tags": [ "Robotics", "Logistics", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "Netherlands", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/servo7", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/servo7.json", "year_founded": 2025, "city": "Amsterdam", "country": "NL", "linkedin_url": "https://www.linkedin.com/company/servo7", "x_url": "https://x.com/Servo7Robotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f0947dcd80dc342c9f938f52c6f4959bc0b1b157.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": 2067100, "full_name": "Pieter Becking", "title": "Founder/CEO", "founder_bio": "Co-Founder of Servo7: Robots that unload containers in warehouses\n\nPreviously: Deep Reinforcement Learning at Boeing & LLM Engineer & shipped working Hyperloop. Built & sold recruitment tech startup.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pieterbecking/", "x_url": "https://x.com/pieterbecking", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b03fe8d0079f7616bfd9b0d8a2186ac2917faf5c.jpg" }, { "user_id": 2827656, "full_name": "Jasper van Leuven", "title": "Founder/CTO", "founder_bio": "Co-Founder of Servo7: Robots that 10x industry workers. Previously: Developed autonomous defence systems and deployed them in Ukraine. Built the first video generation model for autonomous driving before cosmos & sora.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jasper-van-leuven-14a3ba1b6/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a6bca74226ed2b3f26646eab57a36cd13bfade8.jpg" } ], "jobs": [ { "id": 101951, "title": "Founding Hardware Engineer", "url": "https://www.ycombinator.com/companies/servo7/jobs/yPnmJfu-founding-hardware-engineer", "location": "Amsterdam, NH, NL / Amsterdam, North Holland, NL", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 97659, "title": "Servo7 - Robots for Industry", "tagline": "Simple and rapidly deployed robots for industry work", "body": "Hey everyone, we’re [@Jasper](https://bookface.ycombinator.com/user/2827656) and [@Pieter](https://bookface.ycombinator.com/user/2067100), co-founders of [@Servo7](https://bookface.ycombinator.com/company/31224). We build simple and rapidly deployed robots for industry work.\n\n**TL;DR**\n\nToday, implementing robotics means redesigning your entire facility around a robot. This is inefficient and unnecessary. With Servo7, you don’t have to do any of that. Our robots adapt to your environment.\n\n\n\n**Problem**\n\nCurrently, industry robots are rigid single-purpose machines. Complete floor plans are redesigned around a single robot. As a result, the installation process is complex and inefficient.\n\nThis discourages many businesses from pursuing automation at all. That’s a missed opportunity.\n\n**Solution**\n\nInstead of adjusting the floorplan, redesigning the conveyor belts, and the outflow, our robots just work in the existing process.\n\nWe’re using AI models to train wheeled humanoids and robot arms. Once the robots are implemented, they’ll keep learning on the job: performing the tasks faster to increase throughput. The implementation of our robots is much faster and easier.\n\n![uploaded image](/media/?type=post&id=97659&key=user_uploads/2067100/e4f3ba51-26b4-4115-8b48-01502d7b9b6d)\n\n**How we got here**\n\nWe have been deploying robots and automating repetitive work for years, even in highly regulated industries like the military and hospitals. But, we also know the slow pain of traditional control methods. So we turned to AI to control robots, and found a much better way. Instead of pre-programming every possible movement, we put the robot to work with just a few demonstrations. We quit our jobs that same day to start Servo7.\n\nToday, we’re working with warehouses and CPG brands to automate their fulfillment.\n\n**Ask**\n\nIf you’re working in logistics, assembly, or manufacturing, our robots can help you improve your operations!\n\nReach out to us at [founders@servo7.com](mailto:founders@servo7.com) to chat. Cheers!", "url": "https://www.ycombinator.com/launches/PP9-servo7-robots-for-industry", "votes": 26, "created_at": "2026-02-09T17:41:22.358Z" } ] }, { "id": 31374, "name": "Tenet Industries", "slug": "tenet-industries", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5849b2060564f1836d25c1fa4a3cd18ef1bf9553.png", "website": "https://www.tenetindustries.com", "all_locations": "Stockholm, Stockholm County, Sweden", "long_description": "Tenet Industries is building AI-automated factories for electronics manufacturing services.\r\n\r\nWe're using AI and robotics to build a factory in München for instant-quote, fast-turnaround PCB Assembly and electronic manufacturing services.", "one_liner": "AI-automated factory for PCBAs", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1775173231, "tags": [ "Hardware", "Manufacturing", "Automation", "Electronics", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "Sweden", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tenet-industries", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/tenet-industries.json", "year_founded": 2026, "city": "Stockholm", "country": "SE", "linkedin_url": "https://www.linkedin.com/company/tenet-industries-ab/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5849b2060564f1836d25c1fa4a3cd18ef1bf9553.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ed09a12073ae1ca655b04908a899478f377abca8.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 3351069, "full_name": "Emil Falk", "title": "Founder/CEO", "founder_bio": "Building Tenet: ultrafast, cheap and instant-quoted PCBAs in Europe with amazing developer tools & APIs.\n\nTwo-time hardware founder with an exit in a hardware startup. Grew up in a machining shop in Sweden. Stockholm School of Economics dropout. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emilfalk/", "x_url": "https://x.com/falkemil_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d442cfd078bc68961d3553d7f857be44b0af1fb9.jpg" }, { "user_id": 3398084, "full_name": "Fabian Andersson", "title": "Founder/Engineering", "founder_bio": "Member of Technical Staff @ Tenet Industries. Used to build firmware and hardware for rockets and guidance systems. Dropped out of Aerospace Engineering at KTH. Ran a chicken farm at 11.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/fanderssons/", "x_url": "https://x.com/0xfabian_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/24ff800c4c997be29d743a213138a5f543a18edc.jpg" }, { "user_id": 3336958, "full_name": "Hugo Frisk", "title": "Founder/Engineering", "founder_bio": "Member of Technical Staff @ Tenet Industries. Previously built production lines at Teenage Engineering. Built rockets and electronics at ÆSIR. Dropped out of engineering physics at KTH. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hugo-frisk/", "x_url": "https://x.com/PepperoniPingu/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7dedc99c702850fd8f6aa424807cc1a74a43355d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31378, "name": "GodHands", "slug": "godhands", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ec540989c0e572731406bc02714d7608e407cc3.png", "website": "https://godhands.ai", "all_locations": "San Francisco, CA, USA", "long_description": "GodHands learns how your teams actually work from the apps they already use, capturing the steps, decisions and exceptions that never get written down. It turns them into knowledge and playbooks, gives people and AI agents the answers, and builds agents that do the work the same way. Teams use GodHands to run operations, onboard new hires, hand over roles, integrate acquisitions and automate repetitive work.", "one_liner": "Turn how your team works into playbooks and agents.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1777151399, "tags": [ "B2B", "Enterprise", "Automation", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "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/godhands", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/godhands.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/godhands-yc-f26/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ec540989c0e572731406bc02714d7608e407cc3.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": 905009, "full_name": "Sai Vamshi Batchu", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of GodHands. We learn how companies actually operate and turn that knowledge into playbooks and answers for people and AI agents. Previously a quantitative researcher at Graviton, a high-frequency trading firm. IIT Kharagpur CS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sai-vamshi-129256194/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3902d7acdca00531052656882bd8ae31e78f23ba.jpg" }, { "user_id": 3245390, "full_name": "Aditya Bommakanti", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of GodHands. We capture how work gets done, including the decisions and exceptions, so people and AI agents can carry it forward. Previously built low-latency systems at Graviton, a high-frequency trading firm. Research at UTokyo and Aarhus University. Published research at NeurIPS. IIT Delhi CS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aditya-bommakanti-6b035321a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb214e7534bbad4c8c5a52ca3cd46359cf65852c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 122209, "title": "GodHands: Agents that learn by watching your best people", "tagline": "The know-how your team runs on was never written down. GodHands learns it from the work itself.", "body": "We're[ Sai Vamshi](https://www.linkedin.com/in/sai-vamshi-batchu-129256194/) and[ Aditya](https://www.linkedin.com/in/aditya-bommakanti-6b035321a/), IIT engineers from high-frequency trading, building[ GodHands](https://godhands.ai).\n\n**TL;DR:** GodHands learns how tasks really get done across apps, no integrations required, and turns it into playbooks your team and agents follow. Ops, support and sales teams can save millions in lost know-how and hours of repetitive work every week. Reach out for a demo!\\\n\n\n**❌ The problem**\n\nAt our previous company, a key person left. Nobody knew how they did their work. The team kept calling them long after they'd gone, and it took months to get back on track.\n\nEvery company has people like that. None of what they know is written down.\n\nThey know how to handle the refund that doesn't fit the policy, which customer gets a call instead of an email, and which spreadsheet is actually right.\n\nSo when they leave, teams fall back on handover docs, SOPs nobody updates, and weeks of shadowing.\n\nToday's AI doesn't fix this. Agents know the internet, not how your best people work. AI knowledge tools (\"company brains\") read your docs and Slack, so they only know what someone wrote down.\n\n**✅ The solution**\n\n* **Never lose know-how when people leave.** GodHands learns how tasks get done across every app, including the steps, the decisions, and the exceptions. Nothing to integrate to start learning.\n* **Hand over work in days, not weeks.** GodHands turns that work into playbooks with sources, kept up to date, so whoever takes over does it the same way.\n* **Agents do the work.** GodHands follows those playbooks in any app, like Slack, Zendesk, Gmail, Jira, and Salesforce. Your existing agents can use them too, so your team gets hours back every week.\n* **Get new hires productive faster.** They ask GodHands how things are done and get answers from how your best people actually work, with sources.\n\n![uploaded image](/media/?type=post&id=122209&key=user_uploads/3245390/6aa30075-0890-4e4e-b43c-3c2db71719d9)\n\nBuilt for ops, sales, and CX teams, logistics and retail operators, PE and M&A teams taking over a company, and any manager whose best person just handed in their notice.\n\n**The team**\n\n![uploaded image](/media/?type=post&id=122209&key=user_uploads/3245390/2738fb55-3098-428c-96ad-e59b216115dd)\n\n**Sai Vamshi Batchu (CEO)** was a quantitative researcher at Graviton, India's largest HFT firm. IIT Kharagpur, CS.\n\n**Aditya Bommakanti (CTO)** built low-latency systems at Graviton, India's largest HFT firm and has published research at NeurIPS. IIT Delhi, CS.\n\nWe spent years building systems that learn from data and act on it. Now we're building one that learns from your best people.\n\n**Our ask**\n\nLet's talk if:\n\n* You want to understand how your team works, including the knowledge in people's heads\n* You want smarter agents to take on repetitive work, done the way your best people do it\n* Someone critical is leaving, or you're taking over a team or company\n\n[**Book a time**](https://calendly.com/founders-godhands/intro-call) or email [**founders@godhands.dev**](mailto:founders@godhands.dev).\n\n**Know a Head of Ops, VP of Support, or a PE operating partner?** We'd love an intro.", "url": "https://www.ycombinator.com/launches/Vn7-godhands-agents-that-learn-by-watching-your-best-people", "votes": 11, "created_at": "2026-10-15T13:30:00.116Z" } ] }, { "id": 31441, "name": "Infera", "slug": "infera", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e31e68f847b8067b4a5a541fed968e4b0739a6c4.png", "website": "https://www.infera.bio", "all_locations": "San Francisco, CA, USA", "long_description": "Describe an experiment in plain English, and Infera turns it into a validated, instrument-ready run across the equipment your lab already uses. Infera handles the protocol logic, vendor-specific scripts, data, inventory, and institutional knowledge in one system. An AI-native compiler for the lab: one system from intent to execution.", "one_liner": "Control lab instruments with natural language.", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Industrial Bio", "launched_at": 1779916747, "tags": [ "SaaS", "B2B", "Biotech", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Healthcare", "Industrial Bio" ], "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/infera", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/infera.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/infera-bio/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e31e68f847b8067b4a5a541fed968e4b0739a6c4.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": 3013936, "full_name": "Troy Zhang", "title": "Founder/CEO", "founder_bio": "Founder at Infera Biosystems. Prev. experience in Nobel Prize winning lab. Dual BS in Political Science and Computation and Neural Systems from Caltech.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/troyzh", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d37252070c23d7b971abe014006e4abdd3d1314e.jpg" }, { "user_id": 3288797, "full_name": "Chloe Sow", "title": "Founder/CTO", "founder_bio": "Co-Founder of Infera (YC P26). Built research software and medical devices at Harvard Medical School, Brigham and Women's, Fred Hutch and PNNL. MechE + CS at Harvard.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chloe-sow", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d783871016e75c83c0534d668a503a2fca45d369.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102417, "title": "Infera – Control Lab Instruments with Natural Language", "tagline": "Infera turns a plain-English experiment into a validated, instrument-ready run", "body": "### **⚡TL;DR**\n\n**Infera is the Claude Code for scientific instruments.** Describe an experiment in plain English, and Infera turns it into a validated, instrument-ready run, handling the protocol logic, vendor scripts, data, and inventory across the instruments your lab already uses. One system, from intent to execution.\n\n### 🤔 **The Problem**\n\nLabs run on hardware from the future and software from the past.\n\nThe instruments are extraordinary. Mass specs identify thousands of proteins, flow cytometers read tens of thousands of cells a second, and cryo-EMs image at near-atomic resolution. These are the machines behind biomarker discovery, immunotherapy, structural biology, and drug development. But the software around them still looks like it shipped in 2003, and runs like it.\n\nWe've watched labs running \\~6 instruments from 3+ vendors write a one-off script for every experiment, stitch outputs together by hand, and track inventory in a Google Sheet someone probably forgot to update last Tuesday. Scientists spend their week being human glue between machines that should already talk to each other.\n\n### **🔍How Infera Works**\n\n[**Demo Video**](https://www.youtube.com/watch?v=3GPze4X7AeA)\n\n**I. Describe the experiment in plain English.** Infera asks the right questions, surfaces edge cases, and checks against your lab’s inventory and instrument state.\n\n**II. Infera turns it into a run, accommodating both manual and automatable steps.** For programmable instruments, it generates vendor-specific scripts, executes, pulls the data back, and runs the analysis. For manual work like pipetting, gels, hand fermentation, etc., it's the context layer underneath: which step you're on, which reagent goes where, what could go wrong, and how others in the lab have run it before.\n\n**III. The knowledge stays.** Every protocol, every validated run, every edge case becomes part of the system and checked against instrument constraints, lab SOPs, inventory, and prior experiments.\n\nThat last part is the hard part. It's what general-purpose LLMs can't do, and it's what enables a researcher to trust the output the way they'd trust a trained technician.\n\n### 👩‍🔬 **Team**\n\nHi! We’re Chloe and Troy, and we're building Infera to close the gap between science and instrumentation.\n\n* Chloe studied Mechanical Engineering at Harvard. She's been building research software and medical devices since before college (Regeneron STS Scholar), including a microfluidic device that detects harmful chemicals in household products, and has been doing research at places like Fred Hutch, Brigham and Women's, Harvard Medical School, and Pacific Northwest National Lab.\n* Troy studied Computation & Neural Systems at Caltech, where he held an endowed research fellowship in a top research lab as an undergraduate. He's published two first-author cancer papers, holds a first-inventor agtech patent, and built and sold two companies before Infera.\n\nBetween us, we've run experiments by hand, written the scripts, and watched the whole system break when one person leaves. That's the problem we're building Infera to fix.\n\n### **🎯Ask**\n\nWe're currently running pilots with Boston-area academic labs and cores. If any of these are you, reach out at [**hello@infera.bio**](mailto:hello@infera.bio):\n\n* **Academic labs and cores:** know a PI or core director in proteomics, genomics, flow, automation, or screening? We'd love an intro, and we're happy to set up a pilot\n* **YC founders with wet labs (diagnostics, therapeutics, synbio, tools):** we’d love to meet whoever runs your lab ops\n* **Biotech and life sciences folks:** come say hi\n* **Instrument manufacturers** whose customers wish the software were better, let's talk\n\n![uploaded image](/media/?type=post&id=102417&key=user_uploads/3288797/b9d81458-f74b-47a8-88ac-e3cf756951b9)\n\n", "url": "https://www.ycombinator.com/launches/Qdt-infera-control-lab-instruments-with-natural-language", "votes": 153, "created_at": "2026-06-02T15:49:42.214Z" } ] }, { "id": 31549, "name": "Enjamb Labs", "slug": "enjamb-labs", "former_names": [ "Enjamb Labs Inc", "Enjamb" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b1348d79301216902dfdfa731a133bfa809b1447.png", "website": "https://www.enjamb.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We've worked with 130 life science companies, preclinical through phase 3, to deploy AI securely inside the systems they already work in.\r\n\r\nPharma runs on decades of closed software like Benchling, Veeva, Medidata, and SAS. None of it has an AI layer or speaks MCP, so agents cannot reach the systems where the work lives.\r\n\r\nEnjamb is that layer. Our agents run on top of existing systems and data, with no migration, and they reach the lab systems and internal tools no other AI touches. They learn how a team works, then do the work in Slack, in Teams, and in the systems themselves, across preclinical research, clinical evidence, trial design, statistical programming, and regulatory submissions.\r\n\r\nThis is AI tailored for how medicine gets made.", "one_liner": "The AI Workforce for Biopharma", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1779929226, "tags": [ "SaaS", "B2B", "Biotech", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 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/enjamb-labs", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/enjamb-labs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/enjamb/", "x_url": "https://x.com/enjamblabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b1348d79301216902dfdfa731a133bfa809b1447.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": 3164441, "full_name": "Rayan Mubarak", "title": "Founder/CEO", "founder_bio": "Co-founder of Enjamb. I'm an ML and biology researcher. At 17, I published a first-author cancer ML paper in JMIR that beat SOTA models by 20%. Previously, I researched drug therapeutics for pesticide poisoning (30% more effective) and presented at top bio conferences (SOT, ISCB).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rayanmubarak/", "x_url": "https://x.com/rayannmubarak", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3051be1dd51ca5887a4a57b988def17442882bb2.jpg" }, { "user_id": 3208056, "full_name": "Maadhav Deekshitha", "title": "Founder/CTO", "founder_bio": "Maadhav is an AI researcher. He was the youngest engineer at Dell's AI Lab, shipping AI CPU optimization on supercomputing infra,. He also worked at Broadcom R&D developing SOTA AI ASICs. For fun, he built a Rocket League AI trained on 1M+ sessions that beats the top 1% of players.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maadhav-deekshitha-0921b4243/", "x_url": "https://x.com/MaadhavD2", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b0f50775b6b810aa51b242d6fbe47dfab29e23e3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102105, "title": "Enjamb - The AI Workforce for Biopharma", "tagline": "Enjamb runs the entire drug program for biopharma teams, from discovery to FDA approval.", "body": "Hey YC 👋\\\n\\\nWe’re Rayan and Maadhav, and today we’re excited to launch [Enjamb Labs](https://www.enjamb.ai/).\n\n\\\n\\\n**TL;DR**\n\nEnjamb runs the entire drug program for biopharma teams, from discovery to FDA approval. \\\n\\\nPharma runs on decades of closed legacy systems like Benchling, Veeva, Medidata, and SAS, with no AI layer and no MCP to connect agents to them. So we built that connection layer. \\\n\\\nOur agents run on top of their existing systems and data, with no migration, and do the work across the whole program: clinical evidence, trial design, statistical programming, and regulatory submissions.\\\n\\\nIn just 3 weeks since launch, we're already being used by 500+ employees at top pharma companies, including Johnson & Johnson, AbbVie, Bristol Myers Squibb, Merck & Sanofi.\n\n**The Problem: Pharma’s systems have no AI layer**\n\nIt costs $2.6 billion and 10+ years to ship a single drug, and most of that isn't the science. It's the work around it, spread across decades of closed legacy systems that don't talk to each other:\n\n* Benchling stores the data\n* Veeva holds the documents\n* Medidata runs the trials\n* SAS does the stats\n\nAgents are **_finally_** good enough to do real scientific work. But there's no AI layer on these systems, and no MCP to plug an agent into where pharma's data and work actually live.\n\n**So, we built that connection layer we wished existed.**\\\n\\\n**What We Offer: Agents that run on top of pharma’s existing systems**\n\nEnjamb invented the fastest way to run a drug program: a single agentic workspace that unifies the evidence, analysis, and regulatory work.\n\nOur agents:\n\n* Synthesize up-to-date clinical evidence from the literature and real-world data to pinpoint the right endpoints and patient populations\n* Design trials and run the statistical programming behind them, including SDTM, ADaM, TFLs, and QC\n* Draft and audit regulatory documents like INDs, protocols, SAPs, and NDAs\n\n— all in one auditable workspace, with the context carried end to end.\\\n\\\n**The results:** Enjamb generates an FDA submission package in **48 hours** instead of 8 months, with **23x fewer errors** than GPT-5.5. And **98%** of the datasets it produces pass Pinnacle 21, the FDA's standard, on the first pass, before a human even reviews.\\\n\\\n**And it all runs in the browser**: full Word, Excel, and PowerPoint editors, a Python and R compute environment, 100+ scientific integrations, and 50+ fine-tuned models for in-silico validation. No setup.\n\n\\\n**Our Story: Two Researchers Who Lived the Problem**\n\nWe're **Rayan** (ML/Bio researcher, first-author paper @ JMIR, presented @ SOT and ISCB, beat SOTA by 20%) and **Maadhav** (ex-Dell AI Lab, ex-Broadcom R&D).\\\n\\\nWe kept hitting the same wall in research: the science was the easy part. Everything around it, the evidence, the analysis, the documents, was fragmented, manual, and disconnected, and the context died at every handoff.\\\n\\\nSo we built what we always wanted: one workspace where agents carry the context across the entire drug program.\n\n**If no one's going to build it right, we will.**\\\n\\\n**Get Started**\n\n* See Enjamb at [enjamb.ai](http://enjamb.ai)\n* Or reach us at [rayan@enjamb.ai](mailto:rayan@enjamb.ai) for a demo\n\n![uploaded image](/media/?type=post&id=102105&key=user_uploads/3164441/9839d8af-27a3-4fd0-b6af-c82405bc817f)\n\n", "url": "https://www.ycombinator.com/launches/QYr-enjamb-the-ai-workforce-for-biopharma", "votes": 20, "created_at": "2026-05-28T18:48:05.818Z" } ] }, { "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": 32127, "name": "Perceptron ML", "slug": "perceptron-ml", "former_names": [ "Perceptron ML", "Notyfi" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/23f18bbbc3a1b4a54c0c7513b5b49d243b55ff07.png", "website": "https://perceptronml.com", "all_locations": "San Francisco, CA, USA", "long_description": "We build AI systems for law firms, trained on each firm's own matters and deployed privately in their environment: timekeeping, intake and matter monitoring, research, discovery, and drafting. Our grounding engine verifies every fact against a primary source before a model can cite it, which is why firms trust us with work that off-the-shelf legal AI keeps getting wrong.", "one_liner": "We make law firms AI-native.", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1782500527, "tags": [ "B2B", "Legal", "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/perceptron-ml", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/perceptron-ml.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/perceptron-yc", "x_url": "https://x.com/PerceptronML", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/perceptron-ml", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/23f18bbbc3a1b4a54c0c7513b5b49d243b55ff07.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": 3087509, "full_name": "Michael Marcotte", "title": "Founder/CEO", "founder_bio": "Founder at Perceptron ML (YC S26). Previously AI Research at NVIDIA, where he built production AI agents for hardware debugging and formal verification. Holds BS in Mathematics and MS in Computer Science from Stanford.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marcottemichael", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9bf56925080a6f27803cf4df75bcb411a466ad4b.jpg" }, { "user_id": 3122328, "full_name": "Peyton Marcotte", "title": "Founder/CTO", "founder_bio": "Founder at Perceptron ML (YC S26). Previously founded PMARC, developing astronaut exercise equipment for long-duration spaceflight (supported by NASA, Brown University, and 1517 Fund grants). Studying Mechanical Engineering at Brown.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/peytonmarcotte/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/63ff90f1466f6dda0054cdb016ea612d9c73fd6b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110491, "title": "Perceptron ML: We make law firms AI-native", "tagline": "We help law firms claim the legal work they're leaving on the table by building AI and software around how each firm already works.", "body": "Hi everyone, we're Peyton and Michael Marcotte, brothers and co-founders of [Perceptron ML (YC S26)](https://www.linkedin.com/company/perceptronml/). We make law firms AI-native: we build the AI and software a firm needs to scale. Not a product off the shelf, a system built around how your firm already works, where no fact is used until it traces to a real document.\n\n[Perceptron ML (YC S26) Launch Video](https://drive.google.com/file/d/1c-5RUaBQsJWG-6vJsy0O8PLvAcgpuEco/view)\n\n**The problem.** In 2023, two New York lawyers filed a brief written by AI that cited six cases that did not exist. Courts have caught it more than a thousand times since. So most firms went back to doing everything by hand, and by hand the math is brutal: lawyers lose \\~40% of their day to work that isn't law, and tens of billions in legal work goes unclaimed every year because firms can't move fast enough to take it.\n\n**What we do.** Every firm's bottleneck is different, and it is never the one on the shelf. So we build what each firm actually needs: intake answered and filed at 2 a.m., demands drafted from the record, records requests chased until they land, deadlines and statutes watched, every hour matched to its matter, clients updated by text before they think to call. Every firm gets something different, but underneath it's all the same platform we built once: our grounding engine, our connectors into the firm's systems, and our agent runtime. That's what lets us build this broadly without being an agency.\n\n**Why you can trust it.** The AI we build doesn't guess. Every fact traces to a real document, verified against the primary source before a model can use it. Click anything, and the original opens.\n\n**Why us.** [Michael](https://www.linkedin.com/in/marcottemichael/) did AI research at NVIDIA (hardware-debugging agent in production). [Peyton](https://www.linkedin.com/in/peytonmarcotte/) led two NASA-supported research projects. We come from places where a confident wrong answer is unacceptable, and we started Perceptron ML because law is the biggest industry still run by hand for exactly that reason.\n\n**The ask.** If you know a managing partner, or the attorney who signs your invoices, we'd love an intro: [founders@perceptronml.com](mailto:founders@perceptronml.com)\n\n[perceptronml.com](http://perceptronml.com)", "url": "https://www.ycombinator.com/launches/Sk7-perceptron-ml-we-make-law-firms-ai-native", "votes": 7, "created_at": "2026-08-14T12:00:00.181Z" } ] }, { "id": 32187, "name": "Insurf", "slug": "insurf", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/203aaca34875f8d2fd195e6c042414266aefc1ca.png", "website": "https://www.insurf.io", "all_locations": "Providence, RI, USA", "long_description": "Insurf is the AI-native data and decision layer for health insurance. Our model Surely identifies the lowest-cost coverage for anyone, saving individuals, families, and companies thousands per employee. Our product Inveto collects the data from hospitals and clinics that informs Surely.", "one_liner": "The AI-Native Decision Layer for Health Insurance", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1782286226, "tags": [ "Health Tech", "Healthcare", "Insurance", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/insurf", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/insurf.json", "year_founded": 2026, "city": "Providence", "country": "US", "linkedin_url": "https://www.linkedin.com/company/insurf/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/203aaca34875f8d2fd195e6c042414266aefc1ca.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": 3378177, "full_name": "Bryan Chung", "title": "Co-Founder", "founder_bio": "Co-founder at Insurf. Samsung at 14. 18th Internationally in Physics, Top 80 Internationally in Computer Science, 2x IEEE Publisher, USACO Platinum, Research at Cambridge, Brown, CMU, RIT, and UCSC", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bryan-chung-21b531265/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6728ca29b0a22eb5a13e927f97bb5b9c2a9ef96e.jpg" }, { "user_id": 3378885, "full_name": "Chang Lu", "title": "Co-Founder", "founder_bio": "Co-founder at Insurf. Ex Brown BS/MD\nPreviously studied Neuroscience and Economics at Brown. Conducted zero-shot modeling research at Emory Winship Cancer Institute.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/changxianlu", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bbd81a7330818b1c1cb7ebd17246c72911cb0146.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111220, "title": "Insurf: We save people and employers thousands on health insurance costs", "tagline": "We built a computation layer for health insurance that predicts the lowest true-cost coverage for anyone. We will be the national standard for how America chooses coverage, with the only engine that knows both what plans cost and what they actually do.", "body": "Hey everyone — we're **Chang and Bryan**, the founders of **Insurf**.\n\nAmerican health insurance is f\\*\\*\\*ed: chosen by guesswork, enforced by denial. We built the engine that fixes both halves.\n\n**TL;DR**\n\n**Surely** computes the lowest-cost plan for anyone. **Inveto** fights denials for real clinics across Texas, Georgia, and California, and each contract-authorized, de-identified outcome becomes coverage data nobody else has. Everything Inveto learns, Surely knows.\\\n\\\n[https://drive.google.com/file/d/1x5B44OPfZxd-32UBeGT-0a5WVdMf3Jnl](https://drive.google.com/file/d/1x5B44OPfZxd-32UBeGT-0a5WVdMf3Jnl/view?usp=sharing)\n\n**The problem: America picks health plans from one number**\n\nMore than 20 million Marketplace enrollees choose coverage off the sticker premium. That guess is expensive.\n\n• In our data, the lowest-premium plan was the lowest-cost option in **0 of 2,000 simulated years**.\n\n• In one example, the cheaper sticker would have cost **$8,052 more** in a single bad year.\n\n• That's one person. Multiply the risk across a family. Across a company.\n\n• This year alone, **four million Americans** found out what their plans actually cost — and walked away from coverage.\n\nWe compute.\n\n**Surely — the cost engine**\n\nSurely ranks all plans by what they'll actually cost: premiums, deductibles, drug tiers, networks, out-of-pocket caps. Every number sourced from government filings.\n\n**Inveto — the denial workbench**\n\nClinics upload a denial and the clinical record; Inveto produces source-cited, physician-signed appeals and supported prior authorizations. Live with real clinics across Texas, Georgia, and California today.\n\n**The moat is the join**\n\nEvery contract-authorized Inveto outcome becomes rights-cleared data about what plans actually do, including approvals, denials, appeals; Surely reads all of it. **What plans cost + what plans do. Nobody else has both.**\n\n**Why now**\n\nIn 2028, health plans stop renewing automatically: 20 million+ people will re-choose coverage every single year — the largest forced re-shop in the history of American health insurance. $150 billion a year in premiums, re-decided annually.\n\nAnd employers are next. The federal government projects **800,000 companies and 11 million+ people** will switch to ICHRA, where employees choose their own plans. That's a **trillion-dollar shift**. With Insurf, employers can expect to save **\\~$5,000 per employee, per year**.\n\n**Who we are**\n\nTwo friends who met during orientation at Brown. Chang got into medical school at 17, then worked a pharmacy counter watching thousands of people pay out of pocket for what they were promised. Bryan placed internationally in CS and physics competitions and has published IEEE research since high school.\n\n**Our ask**\n\n• Tired of overpaying for health insurance?\n\n• Weighing ICHRA, or trying to cut your company's benefits spend?\n\n• Running a specialty clinic buried in denials and prior auths?\n\nSee how much your company can save here: [insurf.io/audit](https://www.insurf.io/audit) or email [founders@insurf.io](mailto:founders@insurf.io) — we'll show you exactly what you'd save.\n\n**Everyone sells plans. Nobody prices them. We compute.**", "url": "https://www.ycombinator.com/launches/Svs-insurf-we-save-people-and-employers-thousands-on-health-insurance-costs", "votes": 97, "created_at": "2026-08-19T21:00:00.658Z" } ] }, { "id": 32200, "name": "Bizmark", "slug": "bizmark", "former_names": [ "LeanLog" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee2b3b896d33b5af63938bfada70f7377592ac49.png", "website": "https://bizmark.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Hey YC! We're Bizmark. I (Rodrigo) grew up in a factory, watching my mum run everything through Excel and email.\r\n\r\nThat’s why we’ve built Otto, the OpenClaw for manufacturers.\r\n\r\nIn a few days, he learns from your systems and spreadsheets to take over repetitive work in procurement, quoting, and production planning. \r\n\r\nOtto is live at multiple factories, bringing in $108k in annual recurring revenue. Last month, he worked the equivalent of 9 full-time employees.\r\n\r\nI did CS at UChicago and built a distribution business from 0 to $60M.\r\n\r\nMy cousin and cofounder Oscar did CS at Stanford and deployed AI for the US Air Force, Amazon, and the factories of Johnson & Johnson and Intel.\r\n\r\nThere's a quarter of a million manufacturers in the US, making this a $25B market.\r\n\r\nIn 5 years, they will all run on Otto-pilot.", "one_liner": "OpenClaw for manufacturers", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1784331710, "tags": [ "Manufacturing", "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/bizmark", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/bizmark.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/ee2b3b896d33b5af63938bfada70f7377592ac49.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 343702, "full_name": "Rodrigo Mosqueira", "title": "Founder/CEO", "founder_bio": "I grew one of the largest e-commerce logistics startups in Brazil from zero to $60M in revenue running 100k orders/month across 10k SKUs as the first employee. Prev. CS at UChicago, MBA from Chicago Booth.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/moag/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1ea1768af0b16fd80a12279f323138a1d48501d7.jpg" }, { "user_id": 1156158, "full_name": "Oscar Aguilar", "title": "Founder/CTO", "founder_bio": "I've implemented machine learning and optimization at Intel, Amazon, and J&J, and deployed AI for the Department of War. Studied operations Research at Stanford and Georgia Tech.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oscar-aguilar-76bb15170/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/02e433f8d34d4f2fff110b7d3eeb44d9f36d1dba.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 107941, "title": "Bizmark – Transforming physical industries", "tagline": "The operating system for companies that make, move, or sell physical goods", "body": "[Bizmark Launch](https://youtu.be/-5g3wv2OE2g)\n\nHey everyone, we're Rodrigo and Oscar, founders of Bizmark (S26).\n\n**TL;DR:** Bizmark is the operating system for companies that make, move, or sell physical goods. It connects the systems, spreadsheets, and knowledge a company already has, and turns them into optimized decisions and automated workflows: quotes priced in seconds, schedules that reflow when a machine goes down, inventory balanced between service levels and cash. Bizmark adapts to how each company operates, not the other way around. Working product in weeks, not years. Some of the most innovative American companies use Bizmark to transform their operations. Ask: intros to decision makers at manufacturers, distributors, and retailers.\n\n**The problem**\n\n> _“Quotes take too long, so I lose revenue. Or I quote too fast and give away margin.”_\n\n> _“Days of inventory are critical for my business, but I’m not sure I’m buying the right quantities at the right time, or getting the best supplier terms.”_\n\n> _“An urgent order comes in and I do not know what to run next. I’m hitting max capacity constantly, but I’m not sure I’m using my equipment and labor in the most efficient way.”_\n\nAfter 150 of these conversations, we've realized these problems share the same cause. Legacy ERPs force operators into templates that don’t reflect how the business runs, while custom implementations often run to years and seven-figure budgets. As a result, decisions that directly affect revenue, margins, and service levels are made from spreadsheets, delayed reports, and fragmented tools, with less information than the company has, often by whoever is closest, not whoever knows best.\n\n**What we built**\n\nBizmark is the operating system for companies that make, move, or sell physical goods. It connects the systems, spreadsheets, and knowledge a company already has, and turns them into optimized decisions and automated workflows. Bizmark adapts to how each company operates, not the other way around. And customers get a working product in weeks, not years.\n\n**Here’s how some of the most innovative American companies use Bizmark to transform their operations:**\n\nA spec-heavy RFQ lands in the inbox. Bizmark reads it, and a quoting engine prices it against inventory, capacity, and customer history. It returns a customer-ready quote in seconds. The team approves it, it goes out, and when the customer says yes, the order enters the system without any retyping.\n\nThen the order runs. Bizmark schedules it into your machines and crews against your objectives, using the same estimates the quote was priced on. When a machine goes down or a rush order lands, the plan reflows and the new sequence reaches the queues that run the operation. The job runs, passes quality, and ships.\n\nThe order drew down inventory. Bizmark forecasts what you will sell next, holds your days of inventory in balance – enough for minimum service levels while protecting cash – and decides what to buy, when, and from whom. It sends RFQs to qualified suppliers and compares what comes back. The team chooses, and the PO books straight into the system.\n\n**Who we are**\n\nWe’re cousins who love seeing how things get built in the real world.\n\nRodrigo grew one of the largest e-commerce logistics startups in Brazil from zero to $60M in revenue running 100k orders/month across 10k SKUs as the first employee. Prev. CS at UChicago, MBA from Chicago Booth.\n\nOscar led process optimization at Intel, Amazon, and J&J, and deployed AI for the U.S. government. Prev. Operations Research at Stanford and Georgia Tech.\n\n**Ask**\n\nIntros to decision makers at manufacturers, distributors, and retailers.", "url": "https://www.ycombinator.com/launches/S4z-bizmark-transforming-physical-industries", "votes": 8, "created_at": "2026-07-28T17:50:56.018Z" } ] }, { "id": 32518, "name": "Agency Tool Company", "slug": "agency-tool-company", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/244ddf9b0965c4c601170d71dd660ad1a89f8792.png", "website": "https://agencytool.com", "all_locations": "Denver, CO, USA", "long_description": "Agency Tool Company ships software to robots in the field 20x faster than a Docker pull with ATC Deploy, sending only the bytes that changed and resuming when the network drops. Deployment tooling is the connection between the lab & the field that continually bottlenecks robotics scaling and lacks a strong robotics-native solution. Deploy is live today with 3 launch partners across ag, construction, and logistics robotics.\r\n\r\nOur second product, ATC Build, offers embedded-compute as a CI service so devs can run tests and validate their software on the actual target hardware. Build supports the Nvidia Jetson lineup, Raspberry Pi, and a number of other embedded platform targets.\r\n\r\nJack Morrison and Davis Foster founded and sold Scythe Robotics after deploying hundreds of autonomous mowers across the country; Agency Tool Company is building the robotics deployment platform across hardware and software they wish they had.\r\n\r\nLearn more at https://agencytool.com", "one_liner": "Reliable infrastructure to build, deploy and manage real-world robots.", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1784914207, "tags": [ "Developer Tools", "Robotics", "Automation", "Infrastructure", "Self-Driving Vehicles" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "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/agency-tool-company", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/agency-tool-company.json", "year_founded": 2026, "city": "Denver", "country": "US", "linkedin_url": "https://www.linkedin.com/company/agency-tool-company", "x_url": "https://x.com/agencytoolco", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/244ddf9b0965c4c601170d71dd660ad1a89f8792.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": 3668961, "full_name": "Jack Morrison", "title": "Founder/CEO", "founder_bio": "Founder and CEO at Agency Tool Company. Previously founder/CEO at Scythe Robotics, building autonomous electric outdoor equipment from 2018-2026 and successfully exiting to ASI. Earlier co-founded Replica Labs (mobile 3D scanning) and worked as a computer vision engineer at Occipital on the Structure Sensor. BA Computer Science from Bowdoin.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/morrisonjack/", "x_url": "https://x.com/jackmorrison", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/13172ea12c502ccffb1824b2ef8e356abeabdfae.jpg" }, { "user_id": 253511, "full_name": "Davis Foster", "title": "Founder", "founder_bio": "Founder at Agency Tool Company - making it easier to scale robots. Previously co-founded Scythe Robotics ('18-26), made autonomous commercial mowers, acquired by ASI in 2026. Built and shipped hundreds of robots still operating across the country. Thiel Fellow.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/davisfoster", "x_url": "https://x.com/davistfoster", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b4566280f9b3ba7c4ea23beb319e78fbf6db999.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 107934, "title": "Agency Tool Company: The build and deployment platform for robotics", "tagline": "Field Robots Faster with ATC Deploy", "body": "Today we're sharing Agency Tool Company and our first product, ATC Deploy: a faster, more reliable way to ship software to robots wherever they are. It moves updates up to 20 times faster than docker pull or scp and works with any software stack already in use.\n\n\n\n## The updates that took until 2 a.m.\n\nDavis and I spent eight years building Scythe Robotics and putting hundreds of autonomous mowers to work across the country. For years, we deployed software with a tool I'd cobbled together for our first few robots. As the fleet grew, deployment became an ordeal: engineers stayed up until 2 a.m., we coordinated with customers to move robots out of sheds and into LTE coverage at set times, and failed transfers restarted from zero. Shipping a fix could take more coordination than building it. We had models to train and customers to serve, so the tooling limped along with incremental bandaids.\n\nWe've since heard the same story from robotics teams across industries. That deployment becomes a hidden bottleneck: teams become release-averse, feedback loops slow and improvements stall. Stitched-together web and IoT tools barely work if you know which scripts to run and who to call, so they survive, even if it means every update is distracting from improving the product.\n\n## What we built\n\nATC Deploy ships whatever you already run: OS images, Docker images, or any file tree. Run “atc ota push user@robot”, and it sends only the changed bytes, then restarts your software through hooks you define—way faster than a docker push.\n\nInstall takes one “curl | sh” command and a config file so you can get back to work fast. Interrupted transfers resume where they stopped, and an offline robot can receive updates by USB if you need. There's no new runtime, packaging format, or operating system to adopt.\n\n## Shipping to robots today\n\nATC Deploy already ships software to robots at Burro, which has deployed more than 750 machines worldwide, Tempo, polishing concrete across several US states and Canada, and Gather, who is scaling their 99.9% accurate inventory drones nationwide. Their teams spend less time managing delivery and more time improving the robot.\n\n**Operate a robot fleet? Join the ATC Deploy waitlist at [agencytool.com](https://agencytool.com/).** Know a team that should be using it? Send them this post, or to [mailbox@agencytool.com](mailto:mailbox@agencytool.com).\n\nIt's time to build robots.\n\n![uploaded image](/media/?type=post&id=107934&key=user_uploads/253511/2f53d874-b652-4819-b734-bd52256958d8)\n\n", "url": "https://www.ycombinator.com/launches/S4s-agency-tool-company-the-build-and-deployment-platform-for-robotics", "votes": 6, "created_at": "2026-07-28T15:54:16.451Z" } ] }, { "id": 32627, "name": "Tenor", "slug": "tenor", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/28b2676e2b5c4bb6bce97d4ce827f594e9743ce2.png", "website": "https://heytenor.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Tenor is a full-stack infrastructure for building and running AI-native businesses. We’re not just an agent framework, we manage the entire loop from how AI executes work to how every action, decision, and business outcome is captured and learned from. Owning the full stack lets companies deploy governed AI workflows, understand what actually drives results, and continuously improve how their business operates without building the infrastructure themselves.", "one_liner": "Infrastructure for building and scaling AI-native businesses.", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1786480856, "tags": [ "B2B", "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/tenor", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/tenor.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/heytenor/", "x_url": "https://x.com/agentemployees", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/28b2676e2b5c4bb6bce97d4ce827f594e9743ce2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 536910, "full_name": "Hamze Al-Zamkan", "title": "Founder/CEO", "founder_bio": "Co-Founder @ Tenor", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hamze-al-zamkan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f94e739a9abd5fd7d16c859836f4d5327eda19ca.jpg" }, { "user_id": 2719109, "full_name": "Amgad Al-Zamkan", "title": "Founder/CPO", "founder_bio": "Co-founder @ Tenor.\nPreviously at Amazon, studied CS at UC Berkeley and TUM. As a grad student, Amgad's research focused on recommendation algorithms and shaping adaptive decision systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/amgad-al-zamkan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f05cd43d0888166e77a571f9543b399a24658f4c.jpg" }, { "user_id": 989310, "full_name": "Muhtasham Oblokulov", "title": "Founder/CTO", "founder_bio": "Co-founder @ Tenor. \nEarly contributor to DeepSeek and co-author of the highly cited StarCoder series and CodeClash with Stanford University. Previously deployed large-scale AI systems across global reinsurance markets.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/muhtasham/", "x_url": "https://x.com/Muhtasham9", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a132f91a426d3f455e5c367a7d8125d02749c418.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110150, "title": "Tenor: AI that owns jobs end-to-end and is accountable for business outcomes.", "tagline": "Deploy AI that owns complete jobs and are measured against predefined outcomes and KPIs. Tenor's AI operates across your tools and improves its decisions with every outcome to drive better results. ", "body": "**TL;DR:**\n\nThe defining resource of the internet was page views. The defining resource of AI is tokens. But while companies can measure exactly what their tokens cost, they still can’t easily tell what those tokens produced. \\\nTenor connects the two. Every piece of AI work starts with an outcome and a budget. Tenor tracks the resources spent against the result produced, learns from that result, and helps determine where the next tokens should go.\\\nThat’s the bigger opportunity: not just attributing AI spend, but allocating machine intelligence toward what creates value. Once a company knows where its tokens make money, it can do more of what works, less of what doesn’t, and continuously reshape itself around where AI creates value.\n\n## 🤯 The Problem\n\nWhile companies have become good at measuring AI consumption, they still can’t tell what that intelligence produced in business value.\\\n\\\nThe internet went through a similar transition.\n\nIts defining resource was page views. Early on, advertisers could buy impressions and measure exposure. Search advertising changed the model by connecting spend to intent and outcomes. Google then turned that into an engine for allocating dollars toward what performed.\n\nAI is still early in that transition. Companies deploy copilots, agents, and automations across the organization. Each produces activity and consumes tokens. But the economic context usually lives somewhere else.\n\nWhat was this intelligence supposed to accomplish? What changed because it ran? Was the outcome worth what it cost? Should the next token go here or somewhere else?\n\nWithout those answers, AI remains largely a software expense: something companies buy and monitor rather than a resource they can economically allocate.\n\nAnd the bigger loss isn’t wasted tokens. It’s lost learning.\n\nMillions of pieces of work happen, outcomes disappear into different systems, and very little of that experience determines how the next unit of intelligence gets deployed.\n\n### ⚙️ The Solution\n\nTenor starts with the outcome.\n\nBefore intelligence is deployed, the work gets an economic identity: what it owns, what success means, what it can spend, which systems it can act on, and when humans need to intervene.\n\nNow every token is spent in service of something measurable.\n\nSo instead of: This agent consumed X.\n\nYou can ask: What did X produce?\n\nThat closes the loop: allocate → work → outcome → attribute → learn → reallocate\n\nAttribution tells you what worked. Allocation is what makes that knowledge valuable.\n\nWork that produces value can receive more intelligence. Work that doesn’t can be changed, rebuilt, or stopped. Every outcome improves the next allocation decision.\n\nOver time, that feedback loop reaches beyond individual workflows.\n\nResponsibilities move. Processes disappear. New ones emerge. Software changes around the work. The organization gradually restructures itself around where machine intelligence produces the greatest value.\n\nThat’s what we’re building Tenor for: not just to measure the token economy, but to give companies the machinery to operate inside it.\n\n## 👋 Team\n\nMuhtasham Oblokulov — AI researcher, 3,000+ citations, ICML-published. Former Senior ML Engineer at Munich Re, where his models drove $1B in revenue.\n\nHamze Al-Zamkan — President of [TUM.ai](http://TUM.ai), which he grew into Europe's largest student-led AI organization and a talent pipeline for Munich's AI ecosystem. Deployed AI systems at appliedAI, and worked on growth at Voggt and Terra. Studied CS at TUM and CDTM.\n\nAmgad Al-Zamkan — Studied CS at TUM and UC Berkeley. Researched adaptive decision systems. Automated judgment-heavy work at Amazon.\n\n![uploaded image](/media/?type=post&id=110150&key=user_uploads/2719109/0a5e6384-5ed4-4345-9e88-5c3114a5ebe0)\n\n## 🙏 Our Ask\n\nIf your AI spend is growing and your company isn't visibly getting better at its work every week, that gap is our market.\n\nWant to see what the work produces? email [hamze@heytenor.com](mailto:hamze@heytenor.com)", "url": "https://www.ycombinator.com/launches/Sec-tenor-ai-that-owns-jobs-end-to-end-and-is-accountable-for-business-outcomes", "votes": 50, "created_at": "2026-08-12T00:00:00.512Z" } ] }, { "id": 32717, "name": "Neuron Industries", "slug": "neuron-industries", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/12fc3438894b5a05c8d3d1997a329d2c5053c9b8.png", "website": "https://neuronindustries.com", "all_locations": "Los Angeles, CA, USA", "long_description": "Neuron is crafting the world’s first purpose-built industrial controller for AI, replacing the antiquated PLCs running every machine and factory. We help customers from chemical processing to nuclear reactors compress controls projects from weeks to hours. ", "one_liner": "Industrial Controllers built for AI", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1784835700, "tags": [ "Robotic Process Automation", "Manufacturing", "Automation", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/neuron-industries", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/neuron-industries.json", "year_founded": 2026, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/neuron-industries-1", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/12fc3438894b5a05c8d3d1997a329d2c5053c9b8.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": 3676531, "full_name": "Dennis Ren", "title": "Founder/CEO", "founder_bio": "CEO and Co-Founder at Neuron Industries. Previously founding EE at Freeform, built its hardware tech stack from the ground up and scaled the world's most advanced metal 3D printing factory to production. Vision Pro System EE at Apple, owned eye tracking and Optic ID subsystems form factor system and board design. Ex-Tesla (Fremont) , Amazon (Go), Apple (iPad Pro, Pencil). UCSD BSEE.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dennisren/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/da38da0d216a741391a7f9784585f65188573dcf.jpg" }, { "user_id": 3732370, "full_name": "Kenneth Rhee", "title": "Founder/CTO", "founder_bio": "CTO and Co-Founder at Neuron Industries. Previously founded WorkIPO, bootstrapping it as a solo founder, building mission-critical enterprise software systems. Seller-marketplace systems at GOAT.com transacting hundreds millions of dollars, engineering at Amazon on Elastic Block Store (trillions I/O ops daily), Silk Browser for FireTV at Amazon, Dassault Systemes' Medidata on regulated clinical services. Computer Science at UC Irvine.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kennethrhee/", "x_url": "https://x.com/kenneth_rhee", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/44092f707a68aa3f8c2cff8e697c1a3f2b86ebef.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 107212, "title": "Neuron Industries: The world's first purpose built industrial controller for AI", "tagline": "Throw away your PLCs!", "body": "\n\n**TL;DR:** Neuron is building the world's first purpose built industrial controller for AI, replacing the antiquated PLCs running every machine and factory. We compress controls projects from weeks to hours, from chemical processing to nuclear reactors.\n\nWe have hardware ready to deploy today, hit us up for a pilot!\n\n**Problem**\n\nEvery piece of industrial equipment, conveyors, pumps, packaging cells, process plants, runs on PLCs. But PLCs got stuck in the 90s: it's 2026 and you're paying $5000 for a controller with 5MB of memory, programmable only with esoteric IDEs and languages frozen in 1993. Reindustrialization and data center buildups are pushing demand up while the programmer workforce shrinks. Projects still cost a fortune and take months.\n\n**Solution**\n\nWe're rebuilding the controller from first principles: state-of-the-art hardware, an AI-native stack, one ecosystem unifying PLC, HMI, SCADA, and Historian. Our agent contextualizes your requirements and hardware, then lets anyone program production applications in plain English, with test and verification guardrails and first-class data observability.\n\n**Traction**\n\nOur tech is in customers' plants today: pilots in chemical processing, electronics manufacturing, wastewater treatment, and small modular reactors.\n\n**Team**\n\nDennis Ren (CEO): founding EE at Freeform, built the hardware stack for the world's most advanced metal 3D-printing factory. Apple Vision Pro founding team, Amazon Go, Tesla Fremont.\n\nKenneth Rhee (CTO): second-time founder, bootstrapped and exited WorkIPO. Custom ERP, MES, and CRM systems; ex-Amazon and GOAT Group (YC W11).\n\n**Our ask**\n\nIf you — or someone you know — build machines or factories that run on PLCs and HMIs, we'd love to talk: [hello@neuronindustries.com](mailto:hello@neuronindustries.com)", "url": "https://www.ycombinator.com/launches/RtE-neuron-industries-the-world-s-first-purpose-built-industrial-controller-for-ai", "votes": 12, "created_at": "2026-07-24T18:02:58.034Z" } ] }, { "id": 33050, "name": "Derya", "slug": "derya", "former_names": [ "Derya Maritime / Meridian Forwarding (forwarding office)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e0512b453e994207fdf56052eb221e687d29dc51.png", "website": "http://usederya.com", "all_locations": "San Francisco, CA, USA", "long_description": "Derya deploys supply chain automations for startups, SMEs, and enterprises that fulfil their entire supply chain function, from prospecting and procurement to distribution of goods.\r\n\r\nOur mission is to rebuild the supply chain from the ground up, turning one of the world’s hardest coordination problems into an AI native system that moves commodities by being integrated into both the supply chain infrastructure and the customer. We work across robotics, commodities, and food & beverages companies; procuring goods and managing various operation functions for them.", "one_liner": "AI Brokers for Industrial Trade", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1784839627, "tags": [ "AIOps", "Logistics", "Supply Chain", "Procurement", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "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/derya", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/derya.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/derya-maritime", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e0512b453e994207fdf56052eb221e687d29dc51.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/734e64627fe82417c09de0dc89e3ab054b81f94f.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2282645, "full_name": "Mert Turna", "title": "Co-Founder", "founder_bio": "Building agentic supply chain automations @ Derya (YC S26). CS @ UCLA, built a ship operations software used in 30+ vessels ($200M Fleet Value).\n\nPast experience:\n- Co-Founder, @ Hemut (YC P25), truck management operations.\n- Several VC and IB internships\n- UCLA Debate Team Ops & Highest Speaker in the team\n- National Debating Team", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mert-turna/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/12fc51cbbdae084e45eb08501c53376a7c27c1b8.jpg" }, { "user_id": 1979081, "full_name": "Oguzhan Karaca", "title": "Cofounder", "founder_bio": "Building agentic supply chain automations @ Derya (YC S26). Law at Oxford, built a 6-figure ARR education business on AI autopilot.\n\nPast experience:\n- CEO @ Ivy Consultants, scaling to six-figure ARR\n- Legal @ Ceva/CMA CGM\n- Editor @ Oxford Law Journal\n- Treasurer @ Pembroke (Oxford) Student Union\n- National Debating Team", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oguzhan-karaca/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1bc38d2953cef10b16a1977c66084ed9a3eea127.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109885, "title": "Derya: Your supply chain autopilot for mapping, planning, and execution.", "tagline": "We build agents that help hardware companies design supply chain processes and eliminate friction.", "body": "TL;DR: We map out all your procurement, logistics, assembly, and distribution operations and then execute them for hardware companies. If you build hardware, physical AI, robots, we'll set up the operations while you focus on designing your product and sales.\n\n**Ask:** If you are spending too much time sourcing components, managing manufacturers, or coordinating shipments, let's see how we can save time and make money for you. Reach us at [contact@usederya.com](mailto:contact@usederya.com) or book a meeting at[ https://calendar.app.google/vSabvozH51TCM9V18](https://calendar.app.google/vSabvozH51TCM9V18) \n\n \n\n**The Problem**\n\nRedundant labor and inefficiencies represent $1.3 trillion of the $13 trillion logistics market. You shouldn't be spending your Tuesday chasing a customs broker, comparing three carrier quotes you don't trust, and hoping your parts clear China customs before your build slips a week.\n\n**Solution**\n\nWe’re setting up your supply chain for you:\n\n* **Shipping & customs automation** for cheaper and risk-free freight and imports\n* **Procurement** support to autonomously order, ship, and track all your inputs\n* **Production** visibility and execution to get your products ready to ship, quick\n\n**Why us**\n\nWe already handled more than $15M in freight before starting to handle the whole supply chain for companies ranging from lab robotics to biochemical manufacturers.\n\nWe’ve been friends for almost 10 years and built our first business together in high school. Mert was the CTO of the trucking AI company Hemut (YC P25), UCLA CS major, and the son of a ship captain. He built software for 25+ ships, a $450M fleet running on his software. \n\nOguzhan is an Oxford law grad who worked at CMA CGM/Ceva (3rd-largest shipper), previously built a six-figure-ARR AI-native business, and grew up in a farming family, providing him exposure as both the carrier and the customer.", "url": "https://www.ycombinator.com/launches/SaL-derya-your-supply-chain-autopilot-for-mapping-planning-and-execution", "votes": 7, "created_at": "2026-08-10T19:30:00.323Z" } ] }, { "id": 33674, "name": "UFO.ai", "slug": "ufoai", "former_names": [ "Metalcraft", "ufo.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f7933f1917a47bf844572cf253da02eeececc9f.png", "website": "https://ufo.ai", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "UFO is the operating platform for your business built by the creators of Github Copilot and Perplexity Computer. \r\n\r\nUFO learns your company, goals, tools, and workflows. UFO builds what your team needs to keep work moving.", "one_liner": "Next-generation agent operating system", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1790567216, "tags": [ "SaaS", "B2B", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "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/ufoai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/ufoai.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ufo-dot-ai/", "x_url": "https://x.com/ufo__ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/ufo-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f7933f1917a47bf844572cf253da02eeececc9f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 3809162, "full_name": "Marshall Kiely", "title": "Founder", "founder_bio": "ufo.ai previously: Perplexity finance lead, quant finance, founding AI eng Notable Health, ML @ Mixpanel. Princeton PhD comp bio – first author Nature and Science papers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marshall-ai", "x_url": "https://x.com/flyingobjectai", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f218102f85d8ffd4cce6ca5b165387dc4030481d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35260, "name": "OnePatch", "slug": "onepatch", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7832df887d718a7dbfbcec376ef2b160c31b16da.png", "website": "https://onepatch.dev", "all_locations": "San Francisco, CA, USA", "long_description": "OnePatch is a forward-deployed AI SRE. It instruments your services, watches how they actually behave in prod, catches incidents, and drives each one to resolution. Think Datadog, except it doesn't stop at telling you something broke: it keeps going until the fix is shipped.", "one_liner": "Automate on-call at agent-scale.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1788469833, "tags": [ "DevOps", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "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/onepatch", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/onepatch.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/onepatch-dev", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7832df887d718a7dbfbcec376ef2b160c31b16da.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 497538, "full_name": "Shalin Patel", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of OnePatch (YC F26)\nOn-call at nine engineering teams across pre-seed to series F, Waterloo CS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shalin1patel/", "x_url": "https://x.com/Shalin__Patel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d251cf11d6bf1f224b823155967110c06e3d6cb9.jpg" }, { "user_id": 3222420, "full_name": "Deep Utkarsh", "title": "Founder/CTO", "founder_bio": "Founder at OnePatch (YC F26). Previously built GTM agents at Pocus, acquired by Apollo.io. Built AI platform and query compiler at Sigma Computing, including Lookups (VLDB 2022 paper). BS Cognitive Science from Tufts.", "is_active": true, "linkedin_url": "https://linkedin.com/in/deepanshuu", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d3e5720bac46c358885356fb1791792bb7f16f0e.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35454, "name": "Shepherd Robotics", "slug": "shepherd-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aeedcbe594abc3d35bb21642c507ec105a0f502a.png", "website": "https://shepherdrobotics.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Shepherd Robotics builds general purpose robots for skilled physical work across AI infrastructure and advanced manufacturing. Our robots are powered by robot foundation models and use modular, flexible hardware designed to adapt to different environments and tasks. We train our systems on a combination of real world and simulation data so they can learn complex manipulation skills and generalize across workflows. We also provide integration into customers’ existing workflows, starting with data center construction and operations, electrical manufacturing and testing, and electronics manufacturing, where traditional automation struggles with variability, dexterity, and changing environments. ", "one_liner": "Robots for high skilled labor powering AI infrastructure", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1789000982, "tags": [ "Hardware", "Robotics", "Manufacturing", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/shepherd-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/shepherd-robotics.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/aeedcbe594abc3d35bb21642c507ec105a0f502a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Charlie Warren", "url": null }, "founders": [ { "user_id": 987072, "full_name": "Feifei Duan", "title": "Founder/CEO", "founder_bio": "Cofounder and CEO at Shepherd Robotics. Ex-Waymo and Chef Robotics engineer.\nTrained large transformer models at Waymo and deployed robots into large food factories at Chef Robotics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/feifei-duan-607255125", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e18794d104befc26ce95ece503c146710f1faed3.jpg" }, { "user_id": 778599, "full_name": "David Fang", "title": "Founder/CTO", "founder_bio": "David Fang is co-founder and CTO of Shepherd Robotics. Previously, he was a Research Scientist at Dyna Robotics working on large-scale robot learning, and building ML systems for autonomous driving at Cruise.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/da-fang-8273b7116/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2ec6f51146461b14b10ea90c0da6865162e995e2.jpg" }, { "user_id": 2562853, "full_name": "Kai Ru", "title": "Founder", "founder_bio": "Founder at Shepherd Robotics. x Cruise & Rivian self driving cars, planning, research, foundational models.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pengkai-r-07086633/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/223c45b3097c524878bc0283aafac05c2146b6d9.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 36411, "name": "Vyra", "slug": "vyra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7ad073b0df3558383dd73b1125d5e326d63c3e12.png", "website": "https://usevyra.com", "all_locations": "San Francisco, CA, USA", "long_description": "Instead of making users learn a timeline, we let them upload footage, describe what they want, and get back a polished edit in minutes.", "one_liner": "Autonomous video editing for non-editors.", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer -> Content", "launched_at": 1789166415, "tags": [ "Video", "Automation", "SMB" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Consumer", "Content" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vyra", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/vyra.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vyravideo/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7ad073b0df3558383dd73b1125d5e326d63c3e12.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": 2829833, "full_name": "Caleb Pong", "title": "Founder", "founder_bio": "prev. freelance video edito", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cjpong", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b359afd93aded35dd99d57eddf8e449566f064e9.jpg" }, { "user_id": 3090217, "full_name": "Sulan Zhang", "title": "Founder", "founder_bio": "co-founder @ Vyra | creator @sulansart (60k+) | CS + visual arts @ Brown", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sulan-zhang", "x_url": "https://x.com/sulansart", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d649abde4994d3239d7b41a0087e99962f140328.jpg" } ], "jobs": [ { "id": 109444, "title": "Creator Internship", "url": "https://www.ycombinator.com/companies/vyra/jobs/LmnMMnP-creator-internship", "location": "US / Remote (US)", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$400 - $10K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] } ]