[ { "id": 598, "name": "Kimono Labs", "slug": "kimono-labs", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://kimonolabs.com", "all_locations": "Los Angeles, CA, USA; San Francisco, CA, USA", "long_description": "Kimono Labs lets people turn websites into structured APIs from their browsers in seconds.\nWe are based in San Francisco, California and graduated from the Y Combinator startup accelerator. Our main product, a bookmarklet or chrome extension, enables users to scrape and crawl websites without any programming required.", "one_liner": "Create APIs where they don't exist. With kimono you can quickly…", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1384978772, "tags": [ "APIs" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2014", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kimono-labs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2014/kimono-labs.json", "year_founded": null, "city": "Los Angeles", "country": "US", "linkedin_url": null, "x_url": null, "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/kimono", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 61748, "full_name": "Ryan Rowe", "title": "Founder", "founder_bio": null, "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ryan-rowe-4088107", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/00bfc14cc40a3f7e424ae93e8d70adb5ac5d9ae0.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 631, "name": "Wit.ai", "slug": "wit-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9a24800a3244c11aac600b6958821d920becd8ea.png", "website": "http://wit.ai", "all_locations": "San Francisco, CA, USA; Palo Alto, CA, USA", "long_description": "Natural Language for the Internet of Things.\r\n\r\nWit.ai is an API that makes it easy for developers to build applications and devices that you can talk to. Any app, any device can use Wit.ai to take natural language input (speech or text message) from users and turn it into a command.\r\n\r\nWit.ai is a Y Combinator company based in Palo Alto, and funded by Andreessen Horowitz.", "one_liner": "Natural Language for Developers --Wit is an API that makes it easy…", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1384979096, "tags": [ "Developer Tools", "NLP", "APIs" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2014", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/wit-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2014/wit-ai.json", 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"https://twitter.com/lololando", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ecc34e673cb80139a295e400baa3b6677a1678d1.jpg" }, { "user_id": 59258, "full_name": "Willy Blandin", "title": "Founder/CTO", "founder_bio": "", "is_active": false, "linkedin_url": "", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/539a71c9fb3b66797d72351c9268b72a92b5947f.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 12974, "name": "Flowglad", "slug": "flowglad", "former_names": [ "NUMI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a33924c9ef04561b7f186705a82e3da8b6e9251d.png", "website": "https://flowglad.com", "all_locations": "New York City, NY, USA", "long_description": "A unified home for your team's cross-system automations, context, and knowledge.", "one_liner": "Analyze, act, and automate across systems", "team_size": 7, "industry": "B2B", "subindustry": "B2B", "launched_at": 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"dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 272109, "full_name": "Agree Ahmed", "title": "Founder", "founder_bio": "Co-founder Flowglad.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/agreea", "x_url": "https://x.com/agreeahmed", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53bbf67c5cbb74709628e982f7f5c01bfbece09b.jpg" }, { "user_id": 284519, "full_name": "Harrison Telyan", "title": "Founder", "founder_bio": "Co-Founder of Flowglad.com - Analyze, act, and automate across systems.\n\nPrev. co-founded NUMI (Profitable Spin-out), your startup's design dept.\n\nRISD/Y Combinator alum with 10 years of product design experience. Imgur's founding product designer, responsible for helping scale to 330 million MAUs.\n\nPassionate about helping companies find PMF and growth with design. Forever interested about the intersection of design and business.\n\nClimbed Everest, never had coffee, straightened my own teeth 😁", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/harrisontelyan/", "x_url": "https://twitter.com/harrisontelyan/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/192156ecfd00248047f9a6dd8d55f37e2f537da9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 96121, "title": "Flowglad: the Open Source, Zero Webhooks Payments Provider", "tagline": "Payments you can integrate with just copy, paste, enter", "body": "![uploaded image](/media/?type=post&id=96121&key=user_uploads/272109/b208b526-0dbf-4690-bd7b-416bc0c20ae2)\n\n**Flowglad** is an open source payments provider that requires **zero webhooks**.\n\nIt’s designed so that your AI can **one shot payments with just copy, paste, enter** for virtually any pricing model.\n\nhttps://youtu.be/sZkv1niV-Vc\n\n# TL;DR\n\n* We generate a **bespoke integration prompt** for your coding agent **based on your pricing model and codebase**, so you don’t need to deal with docs\n* **Use Flowglad as the source of truth**: read what features and usage credits your customers have based on their billing state\n* You don’t need to store any ids from us on your side\n * Refer to prices, features and meters using slugs\n * Refer to customers using their id in your DB\n\n# Asks\n\n* Try Flowglad out for your next project, get started [here](https://www.flowglad.com/)\n* Check out our [Github](https://github.com/flowglad/flowglad/), where you can see all of our billing logic\n\n# Problem\n\nEven a minimal payments integration for a SaaS requires:\n\n* Choreographing at least 16 individual server-client boundary crossings\n* Maintaining mappings between your payment processor and your DB across at least 3-5 different entities (prices, plans / products, customers)\n* Handling race conditions\n\n![uploaded image](/media/?type=post&id=96121&key=user_uploads/272109/99803326-387d-4a8d-b4de-4755f6b12b63)\n\nAnd that’s just to accept a payment. You then need to write a bunch more code to map what features your customers can access based on their subscription.\n\nThe result is a bunch of glue code that you have to maintain to keep your app’s DB in sync with what happened in your payment processor. You sync your DB through webhooks which are brittle, create race conditions, and often one of the hardest parts of your app to test.\n\nAnd whenever you want to change your pricing, this code is the most liable to break.\n\n# Solution\n\nFlowglad gives you solid state payments. It eliminates glue code.\n\n### 1. Source of truth\n\nLike other payment providers, we handle the money movement for you. But unlike others, we also give you a source of truth for what your customers get access based on their billing state. You can check your customers’ access and create checkout sessions like so:\n\n![uploaded image](/media/?type=post&id=96121&key=user_uploads/272109/6beeac16-971d-4035-927e-9307a9bd8acf)\n\n### 2. Docs-Free Integration\n\nFlowglad generates a bespoke integration prompt specific to your pricing model and codebase, that you can give your AI coding agent.\n\nWhen coupled with the Flowglad MCP server, your agent can integrate payments in one shot.\n\n![uploaded image](/media/?type=post&id=96121&key=user_uploads/272109/fac8f58b-1b15-4fd7-9123-ba961b3192b2)\n\n### 3. Open Source = Code-as-Docs\n\nEvery billing engine has all kinds of edge cases. We built ours from scratch, and the code is fully open source. So you can clone it locally and have your AI agent scan our 130,000+ lines of test code to quickly tell you exactly what will happen across various scenarios. No more consulting vague or out of date docs.", "url": "https://www.ycombinator.com/launches/P0L-flowglad-the-open-source-zero-webhooks-payments-provider", "votes": 32, "created_at": "2025-12-10T20:13:10.870Z" }, { "id": 74829, "title": "🎨 NUMI - Your startup's design department", "tagline": "A full-suite design department for startups, on subscription", "body": "# **TL;DR**\n\n[NUMI](https://numi.tech) gives your startup a design department on subscription, with a dedicated primary designer. We cover all your design needs, from product to web design, creative design, and even no code development.\n\n[**See example designs**](https://www.figma.com/proto/AmRAnvyBxNrdPlRZFijTIB/Our-Work?page-id=0%3A1&type=design&node-id=3-3&viewport=1224%2C1072%2C0.18&t=nZ4pPtvomYvN1h1d-1&scaling=scale-down&starting-point-node-id=3%3A3&hide-ui=1)\n\n![](https://i.gyazo.com/b3210ba3878b2702f4f9d80e4321e6e0.jpg)\n\n# **Problem**\n\nGood design is now a non-negotiable for startups.\n\nBut there isn’t a single person that can do **all** the kinds of design that startups need: product, brand, graphic, web, and site development.\n\nThis forces every founding team into freelancer management hell: they have to source, vet, and onboard designers for each discipline. Half of those designers quit, ghost, or are fired within 3 months.\n\nThe alternatives are either to spend $100k+ / year on white shoe agencies or full-time hires or go to freelancer platforms that commodify design (including the work they’ll do for you!).\n\n# **Solution**\n\n* **Unlimited design requests,** completed one at a time.\n* **A dedicated primary designer with timezone overlap**. You’ll collaborate directly over Slack, video, and Figma\n* **1:1 design office hours:** talk design strategy with cofounder Harrison (founding designer at Imgur, RISD alum), up to twice a month - while supplies last!\n* **Full design coverage**: product, brand, web, and no code design / development—all included. If you ever need something outside of your primary designer’s skill set, we’ll match you with an additional designer\n* **Guild of vetted pros:** our guild of designers is invite-only. Harrison and I personally vet every single designer before they join. Our acceptance rate is lower than 2%\n* **Backed by community**: NUMI’s guild means that if your designer ever faces a challenge, there’s a whole community of world-class designers available to help unblock them\n* **Satisfaction guarantee**: if you’re ever unhappy with your designer, we’ll match you with another one and handle their onboarding seamlessly\n\n# **Backstory**\n\nWhen we got into YC, our startup was growing fast and so was our design backlog. Even with my cofounder Harrison’s design prowess (RISD alum and founding designer of Imgur) in the design community, we were surprised by how much work went into building and maintaining our design capacity.\n\nSince then, we’ve spoken with hundreds of startups who have the same problem. One YC founder told us “I sent personalized messages to over 300 designers but got no responses.”\n\nWe figured there had to be a better way.\n\n# **Interested?**\n\n**Special launch offer:** try us out with a two-week, $15 trial.\n\n**If you’d like to give NUMI a shot, **[**book a call**](https://cal.com/team/numi/design-chat-15min)** with us**. We’ll personally walk through your design roadmap and help you prioritize the most impactful design work.\n\nIf you’re just design-curious, watch our podcast [**Bottom Line Design**](https://www.youtube.com/channel/UCDCuvx5TIrFjgUcSXp1ShKw) to see our interviews with design leaders from [YC and Instacart](https://www.youtube.com/watch?v=TMkkh2_3SLc), [Apple](https://www.youtube.com/watch?v=uE7nKvQ2T78), [Zapier](https://youtu.be/-sDsruRS-tE), and [Nike](https://www.youtube.com/watch?v=UhpzFDovsZM).", "url": "https://www.ycombinator.com/launches/JSv-numi-your-startup-s-design-department", "votes": 139, "created_at": "2023-09-13T15:17:53.613Z" } ] }, { "id": 22665, "name": "Waypoint", "slug": "waypoint", "former_names": [ "Metaccountant", "Marketbase" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6bbc4ee18717a8743a3b77c32098b2eeafb4fe72.png", "website": "https://www.usewaypoint.com", "all_locations": "United States; Remote", "long_description": "Waypoint combines a modern email API with a visual template builder so teams can ship faster.\r\n\r\nAlternative to SendGrid, MailGun, or Postmark.", "one_liner": "The email API built for product teams", "team_size": null, "industry": "B2B", "subindustry": "B2B", "launched_at": 1620188785, "tags": [ "SaaS", "B2B", "Design", "Email", "APIs" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "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/waypoint", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/waypoint.json", "year_founded": null, "city": null, "country": "US", "linkedin_url": "https://www.linkedin.com/company/usewaypoint/", "x_url": "http://twitter.com/usewaypoint", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6bbc4ee18717a8743a3b77c32098b2eeafb4fe72.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 18473, "full_name": "Jordan Isip", "title": "Founder", "founder_bio": "Product designer with over 15 years of experience helping grow and develop new products within large organizations and small startups.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jordanisip/", "x_url": "https://twitter.com/fixie", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/020ecb15b8964c8d3fb37590cde5f487ee58ae3a.jpg" }, { "user_id": 16349, "full_name": "Carlos Rodriguez-Rosario", "title": "Founder", "founder_bio": "Puerto Rican, now living in Portland, OR. Interested in payments, taxes compliance, infrastructure as a service, messaging tools.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/carlosrr/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0a37d1ae0b568d543e18d9f896090989a415cf7b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 71975, "title": "Waypoint – a refreshingly simple way to send data-rich transactional emails", "tagline": "Software teams use Waypoint to build, orchestrate, deliver, and monitor email notifications – with little to no code.", "body": "### **Hi 👋**\n\nWe’re Jordan and Carlos and we’re excited to share our new product called [Waypoint](https://www.usewaypoint.com/). Waypoint makes it easy for software teams to design, orchestrate, monitor product-triggered emails. Think of it as an email delivery service that is geared for data-rich transactional emails (like order confirmations, reminders, receipts, alerts, and other system notifications).\n\n### **The problem**\n\nAdding data-rich email notifications to software in 2023 is still a pain. Most email tools are repurposed marketing email builders for templates with little to no dynamic data. This means getting data into branded templates and setting up logic around them (eg. delays) still requires significant code within your code base. Additionally, existing tools are lacking from an observability standpoint which makes it difficult for developers to test and debug.\n\nWhile it’s easy to hate on emails, the truth is that emails still act as the ‘[glue of UX](https://www.usewaypoint.com/blog/transactional-emails-the-glue-of-ux-for-marketplaces)’ for most platforms and it is often the key to onboarding and engaging users.\n\n### \n\n### **The solution**\n\n\\\n**Demo video (4.5 min)**\n\n\n\n\\\n**Design**\n\n![uploaded image](/media/?type=post&id=71975&key=user_uploads/18473/8cfed776-9039-4bee-8f46-0d679c59d098)\n\n* Create templates that match your brand in minutes.\n* Use our block-based template builder that works seamlessly with [Liquid templating](https://liquidjs.com/) and [Markdown](https://www.markdownguide.org/).\n* Build with confidence knowing templates render well across clients and devices.\n\n\\\n**Orchestrate**\n\n![uploaded image](/media/?type=post&id=71975&key=user_uploads/18473/610a5230-8d68-4cd8-b6a2-3924c2cd6731)\n\n* Trigger templates and workflows using our simple [developer friendly API](https://www.usewaypoint.com/docs).\n* Automate workflows with conditionals and delays using a visual builder.\n* Deliver emails reliably through world-class infrastructure.\n\n\\\n**Monitor**\n\n![uploaded image](/media/?type=post&id=71975&key=user_uploads/18473/aa5c76c1-3ae6-4c24-9c22-587d837d450e)\n\n* See a full timeline of events. From initial trigger to clicks.\n* Be informed of bounces or any other exceptions.\n* Log a receipt of the full email content and data variables for every mail.\n\n\\\n**Customer quote**\n\n> _\"Waypoint team and support surpassed our expectations, ensuring a seamless transition from Sendgrid. Their liquid templating simplified the conversion of our existing emails, and since migrating, their service has been flawless. Our emails no longer end up in spam folders, leading to an impressive increase in our onboarding conversion rates. Waypoint's fast and reliable deliverability has taken our account verification success from below 50% to nearly 100%.”_\n\n– Dallin Dyer, CTO of [Dree.com](http://Dree.com)\n\n### \n\n### **Interested?**\n\nWe’d love to help. [Request access](https://www.usewaypoint.com/access) on [Waypoint](https://www.usewaypoint.com/) and mention ‘Launch YC’ to get to the front of the waitlist.", "url": "https://www.ycombinator.com/launches/Iit-waypoint-a-refreshingly-simple-way-to-send-data-rich-transactional-emails", "votes": 22, "created_at": "2023-06-01T13:45:13.152Z" } ] }, { "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": 24893, "name": "Exa", "slug": "exa", "former_names": [ "Exa Search", "Metaphor" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9a54e5c11b9f296fb3be7980c9aaaf6ddd2f0c8c.png", "website": "https://exa.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Exa is a search engine built for AIs. We enable developers to filter the internet's content with complex queries in order to bring the world's knowledge into their AI apps.", "one_liner": "Web search rebuilt for LLMs", "team_size": 75, "industry": "B2B", "subindustry": "B2B", "launched_at": 1628280127, "tags": [ "Developer Tools", "Search", "AI", "APIs" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "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/exa", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/exa.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/exa-ai/", "x_url": "https://twitter.com/ExaAILabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9a54e5c11b9f296fb3be7980c9aaaf6ddd2f0c8c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4ec722b1e7f5be34ef6b1ecef005e23c18d8f229.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 779813, "full_name": "William Bryk", "title": "Founder/CEO", "founder_bio": "I grew up in NYC, then studied CS and physics at Harvard, where I did some ML research and led the robotics club. Then I was a software engineer at ML startup Cresta, while also writing a book about the history of civilization in my spare time. When I realized the future of civilization depends almost entirely on the quality of information we consume, I left to start Exa.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/william-bryk", "x_url": "https://twitter.com/WilliamBryk", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7eebec32bed52e52dc4a67b4ee21d53a67ccff2f.jpg" }, { "user_id": 269220, "full_name": "Jeffrey Wang", "title": "Founder", "founder_bio": "2023-now: Exa.ai\n2019-2022: Plaid\n2015-2019: Harvard CS+Philosophy\n\n- Obsessed with new AI tools, productivity\n- Surf, read, cook for friends, when I have time", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/wangzjeff/", "x_url": "https://x.com/wangzjeff", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/41fd29bfb7236e6c9b5a8efc4a73549f661d9149.jpg" } ], "jobs": [], "news": [ { "title": "Andreessen-Backed AI Search Startup Exa Valued at $2.2 Billion - Bloomberg", "url": "https://www.bloomberg.com/news/articles/2026-05-20/andreessen-backed-ai-search-startup-exa-valued-at-2-2-billion", "date": "May 20, 2026" }, { "title": "Exa: Organizing the World’s Knowledge", "url": "https://www.youtube.com/watch?v=9ZQP7PfHnuI", "date": "Sep 03, 2025" }, { "title": "Benchmark Bets Big on Exa, Which Wants to Be Google for the AI Era - Bloomberg", "url": "https://www.bloomberg.com/news/articles/2025-09-03/benchmark-bets-big-on-exa-which-wants-to-be-google-for-the-ai-era", "date": "Sep 03, 2025" }, { "title": "Exa raises $17M from Lightspeed, Nvidia, Y Combinator to build a Google for AIs", "url": "https://techcrunch.com/2024/07/16/exa-raises-17m-lightspeed-nvidia-ycombinator-google-ai-models/", "date": "Jul 16, 2024" } ], "launches": [] }, { "id": 29453, "name": "Miden", "slug": "miden", "former_names": [ "Tyrus Technologies", "MIDEN" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8471337f6cd686658e82e47fb301dd81af79d869.png", "website": "http://www.miden.co", "all_locations": "Rotherham, England, United Kingdom", "long_description": "Miden is building a modern infrastructure that facilitates the launch of card programs and various financial products for businesses in Sub-Sahran Africa. Just by reducing integration time, card fraud, improving stability, and being customer focused we quickly rose to top 5 in TPV among card issuing Fintechs in Sub-Saharan Africa within 8 months of launch.\r\n\r\nWe’re going to build the first comprehensive fintech and banking software stack for Africa, based on modern technology. We’re starting with a card issuer-processor.", "one_liner": "Card issuer processor and banking stack for businesses in Sub-…", "team_size": 19, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1706458122, "tags": [ "Fintech", "Payments", "B2B", "APIs" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/miden", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/miden.json", "year_founded": 2023, "city": "Rotherham", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/tyrus-technologies/", "x_url": "https://twitter.com/TyrusTechHQ", "fb_url": "https://www.facebook.com/TyrusTechnologies?mibextid=LQQJ4d", "cb_url": null, "github_url": "https://github.com/Tyrus-Technologies", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8471337f6cd686658e82e47fb301dd81af79d869.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": 1047170, "full_name": "Okiemute Avworhokai", "title": "Founder/CEO", "founder_bio": "Okiemute brings more than a decade of experience in managing financial institutions within commercial banking and the fintech sector. As a former founder of a credit firm focused on student loans, he successfully disbursed over $1.5 million within 18 months. He is now dedicated to developing Miden, aiming to address challenges he has encountered over the past ten years.", "is_active": true, "linkedin_url": "https://linkedin.com/in/okiemute-d-avworhokai-5b52a7a6?lipi=urn%253Ali%253Apage%253Ad_flagship3_profile_view_base_contact_details%253BgNZt1BAJRYa%252FInOsfn4KRw%253D%253D", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d8f18aa3745a655430ec89ff73b8f0b22d4d5f22.jpg" }, { "user_id": 1366375, "full_name": "Ini Udoh", "title": "Founder/CTO", "founder_bio": "Chief Technology Officer (CTO) at Tyrus Technologies, a B2B fintech specializing in virtual cards and embedded finance solutions. With over 12 years of experience in the banking and fintech sectors, I previously contributed to major financial institutions like First Bank of Nigeria and Heritage Bank, as well as fintech firm Mukuru. I have expertise in developing innovative banking solutions have been crucial in driving Tyrus Technologies' success.", "is_active": true, "linkedin_url": "https://linkedin.com/in/iudoh", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef47e99ec7754304d8a0a937a9effd70df3bfe9a.jpg" } ], "jobs": [], "news": [ { "title": "YC’s latest Demo Day shows fascinating wagers on healthcare, chip design, AI and", "url": "https://techcrunch.com/2024/04/04/ycs-latest-demo-day-shows-fascinating-wagers-on-healthcare-chip-design-ai-and-more/?utm_campaign=tc_startups&utm_medium=newsletter&_hsenc=p2ANqtz--tFaGiB4AT1JEp5k1Z93xSyPg4Kcp9vTGuqPHz7DMwSl1sbflSzi97W3pxmAFVIJ7RQPlZLS0R2r4nwHmV-SsgWls4ig&_hsmi=301405387&utm_source=tc", "date": "Apr 04, 2024" }, { "title": "Breaking: YC selects Nigerian startup Miden for 2024 winter batch", "url": "https://techcabal.com/2024/01/29/y-combinator-picks-miden-a-nigerian-api-fintech-startup/", "date": "Jan 29, 2024" } ], "launches": [ { "id": 77898, "title": "Miden 💳: Accessible financial tech in Sub-Saharan Africa", "tagline": "Intuitive API for businesses to launch their own virtual card program", "body": "TLDR: Miden's intuitive API addresses challenges faced by businesses in Sub-Saharan Africa, enabling the swift launch of financial solutions such as virtual card programs, credit systems, reconciliation, and expense management systems. This is especially vital in a continent boasting the largest youth population and the fastest-growing economy.\n\n![uploaded image](/media/?type=post&id=77898&key=user_uploads/1047170/5d8b269f-fb02-47d0-8868-c8fd545e181b)\n\nIn Sub-Saharan Africa, businesses face significant challenges in launching financial solutions promptly. The region grapples with cumbersome processes, outdated infrastructure, and prolonged timelines, hindering the swift deployment of essential tools like virtual card programs, credit systems, and reconciliation and expense management systems.\n\nDespite rising account ownership from 43% in 2017 to 55% in 2021, Sub-Saharan Africa still lags significantly behind the global average of 76%. Africa currently represents less than 1% of global card transaction volumes, and the core infrastructure for payments remains either legacy or in its infancy.\n\nWe are a dynamic and seasoned team of banking and financial experts :\n\n🔍 [Okiemute](https://www.linkedin.com/in/okiemuteavworhokai/), our adept navigator, with over 10 years of expertise in business development. Having built and successfully sold financial tools and services in banking and fintech in Nigeria, Okiemute is optimistic about the financial landscape in Sub-Saharan Africa.\n\n🚀 [Ini-Obong](https://bookface.ycombinator.com/user/1366375/linkedin_redirect?key=607468f8c4243fa02a63b2cc86dd3707c3b0f6ee), the tech maestro and Chief Technology Officer at Tyrus Technologies. With an impressive 13-year journey in banking and fintech, Ini-Obong has left his mark on major financial institutions like First Bank of Nigeria and Heritage Bank, along with fintech firms like Mukuru. He is the visionary behind our virtual card program and embedded finance solutions.\n\nOur Ask:\n\n🚀 Explore the boundless possibilities with Miden’s intuitive API.\n\n🔗 Connect us with businesses in Sub-Saharan Africa ready to embark on this transformative journey.\n\nJoin Miden in pioneering the future of financial accessibility in Sub-Saharan Africa. Email us at [founders@tyrus.io.](mailto:founders@tyrus.io)", "url": "https://www.ycombinator.com/launches/KGQ-miden-accessible-financial-tech-in-sub-saharan-africa", "votes": 23, "created_at": "2024-01-28T17:00:51.647Z" } ] }, { "id": 30552, "name": "sieve", "slug": "sieveai", "former_names": [ "Sieve" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/459d63741f9af0815baebb98ab6c243158d589c2.png", "website": "https://usesieve.com/", "all_locations": "New York City, NY, USA", "long_description": "sieve solves data cleaning for hedge funds and investment firms by letting them get clean data in four lines of code. Currently, their data pipelines have conditions that raise for human review, which literally send an email to engineers with data that needs to be reviewed. We provide an API that integrates directly into their existing pipeline - instead of raising for human review, they can send all the same information to our API and get clean, high-quality data back.\r\n\r\nBy using our AI agents built specifically for financial data collection, along with expert-in-the-loop review, we provide our clients with clean, validated data at a scale and level of quality that wasn't achievable before.", "one_liner": "AI + human review to solve data cleaning - accessible via API or Excel", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1747624073, "tags": [ "Investing", "Data Engineering", "APIs" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sieveai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/sieveai.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/usesieve", "x_url": "https://x.com/usesieve", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/459d63741f9af0815baebb98ab6c243158d589c2.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": 1591478, "full_name": "Nicole Lu", "title": "Founder/CEO", "founder_bio": "Nicole is co-founder and CEO of sieve, which is solving data cleaning for hedge funds and investment firms. She previously worked at Citadel across Equity Quant Research, Global Trading, and Data Science groups, was a management consultant at McKinsey, and developed cancer detection algorithms at the Broad Institute.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lu-nicole/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8afeb7c737351a294c8a72c2510ef4df86a819d9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90521, "title": "sieve helps hedge funds extract and clean data from any source directly into their existing tools", "tagline": "Focus on differentiated analyses and never think about data cleaning again", "body": "**The problem**\n\nRight now, the most sophisticated hedge funds pay over-qualified data engineers to spend hours a day on the under-levered task of data cleaning. It's crazy to anyone outside of the industry, but in finance even earnings dates (the date a company reports earnings) are considered **a known hard problem.**\n\nhttps://youtu.be/V-OpzDRge3o\n\n**Our ask**\n\nWe've solved this problem and our ask to the YC community is - **connect us with anyone you know who works in the investing world and uses data (should be all of them).** You can email us at [founders@usesieve.com](mailto:nicole@usesieve.com).\n\n**Who we are**\n\nAfter studying CS at MIT, I worked at Citadel and McKinsey, and Savannah worked at Bain. We've dealt with this problem first hand and were amazed that there weren't good solutions.\n\n**What we've built**\n\nsieve lets hedge funds replace manual review in their data pipelines with a simple API call, so their engineers and analysts can get back to more differentiated work. Behind the scenes, we use AI to find and retrieve the appropriate source documents and to extract the requested data. Each data point is reviewed by a team of expert reviewers before being returned to the client. This lets us achieve the level of accuracy hedge funds need, and that AI-only approaches aren't able to achieve.\n\nWe offer direct API access and access via other tools like Excel. Watch below to see how the excel integration works!\n\n[**https://youtu.be/r6A1t_X2kZo**](https://youtu.be/r6A1t_X2kZo)\n\n**What the early results look like**\n\n* sieve is able to replace manual data cleaning workflows:\n * accurately (100% match to data that was hand-collected internally)\n * more scalably (weeks of full-time work to review data became a passive background task for the data scientist)\n * more cheaply (easily 60-70% cheaper than existing options, even when that existing option is BPO outsourcing)\n\nIn our first week of YC, we were told that we need to be at least one of: better, faster, or cheaper.\n\n![uploaded image](/media/?type=post&id=90521&key=user_uploads/1591478/5e3dcc39-e2cb-48d4-bf91-5babfba2d701)\n\n![uploaded image](/media/?type=post&id=90521&key=user_uploads/1591478/9bec35c3-4989-4973-b5ab-2fd181799d39)\n\n", "url": "https://www.ycombinator.com/launches/NY1-sieve-helps-hedge-funds-extract-and-clean-data-from-any-source-directly-into-their-existing-tools", "votes": 83, "created_at": "2025-05-19T15:16:31.617Z" } ] }, { "id": 30894, "name": "Unsiloed AI", "slug": "unsiloed-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9f85fd135a735334483a66e34f7d25f1c8f535c.png", "website": "https://www.unsiloed.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "AI teams spend 6+ months building document workflows, yet fewer than 10% ever reach production. Generic LLM parsers and OCR collapse on multimodal documents with text, tables, images, and charts. Poor parsing and suboptimal chunking cripple RAG pipelines and downstream automation. Unsiloed AI has built state-of-the-art vision models which serves as the infrastructure layer for turning unstructured data into structured, queryable, and LLM-ready assets.\r\n\r\nOur APIs are already parsing hundreds of thousands of documents for startups and NASDAQ-listed enterprises, powering vertical AI solutions across industries. On public benchmarks, Unsiloed AI consistently outperforms solutions from LlamaIndex, Gemini, Mistral, and Unstructured.io among others.", "one_liner": "API for parsing multimodal unstructured data", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1759119503, "tags": [ "B2B", "Infrastructure", "AI", "APIs" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "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": null, "url": "https://www.ycombinator.com/companies/unsiloed-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/unsiloed-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/unsiloed-ai", "x_url": "https://x.com/UnsiloedHQ", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/unsiloed-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9f85fd135a735334483a66e34f7d25f1c8f535c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/078b943a7238682920862bf5368e98a5b340997d.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 879419, "full_name": "Aman Mishra", "title": "Founder/CEO", "founder_bio": "Co-founder at Unsiloed AI • IIT Kharagpur\n\nPreviously built an ultra low-latency trading system moving billions at a hedge fund. Founding Engineer (#1) at an SF-based startup building AI copilots for firms like Goldman Sachs and Charles Schwab. Launched a P2P rental platform from my dorm room, scaling it to thousands of orders within 2 months of operation.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aman005/", "x_url": "https://x.com/__Aman_Mishra", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a4bb76f1ec54978aaf3cce9053ad7e1808c01338.jpg" }, { "user_id": 2381336, "full_name": "Adnan Abbas", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Unsiloed AI • MIT • IIT Kharagpur\n\nBuilt multi-modal models deployed at a Fortune 10 company. Was building autonomous navigation systems at Mercedes Benz. Launched India’s first Web 3.0 audio app while in college, scaling it to thousands of users within a month.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adnan-abbas-903b711a2", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a5d0a35df645a59a83211a7fc63a99585bff4b90.jpg" } ], "jobs": [ { "id": 87605, "title": "Founding Software Engineer - Backend and Infrastructure", "url": "https://www.ycombinator.com/companies/unsiloed-ai/jobs/cmlq27S-founding-software-engineer-backend-and-infrastructure", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $300K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 87808, "title": "Founding ML Researcher", "url": "https://www.ycombinator.com/companies/unsiloed-ai/jobs/SJCT4d4-founding-ml-researcher", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$200K - $300K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Python", "Torch/PyTorch", "CUDA", "Computer Vision", "Data Analytics" ] }, { "id": 95433, "title": "Founding GTM Lead", "url": "https://www.ycombinator.com/companies/unsiloed-ai/jobs/ePft6Ux-founding-gtm-lead", "location": "San Francisco, United States", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K - $200K", "equity_range": "0.10% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95076, "title": "Unsiloed AI: Make Unstructured Data LLM-Ready", "tagline": "We build APIs to parse multimodal unstructured data and convert it into LLM-ready formats. Our vision is to make documents as computable and queryable for AI Agents as your data sitting in an RDS.", "body": "Hey YC, we are [Aman Mishra](https://www.linkedin.com/in/aman005/) and [Adnan Abbas](https://www.linkedin.com/in/adnan-abbas-903b711a2) from [Unsiloed AI](https://www.unsiloed.ai/).\n\n**TL;DR:** _Unsiloed AI is building the most accurate APIs for ingesting multimodal unstructured data like PDFs, PPT, DOCX, tables, charts, and images, and converting it into structured Markdown and JSON for downstream LLMs and AI Agents._\n\nWe are already processing millions of pages of complex documents each week for Fortune 150 banks, NASDAQ‑listed companies, as well as early‑stage startups in accuracy-sensitive domains like finance, legal, and healthcare.\n\nhttps://youtu.be/ULDK5dgfgzM\n\n**The Problem**\n\nMore than **80% of enterprise data is multimodal and unstructured**. AI teams spend **6+ months** building accurate document‑ingestion pipelines that keep breaking.\n\n* From the tons of open‑source solutions out there, it’s still tough to achieve superior accuracy on even mildly complex cases.\n* Traditional OCRs are static and break with changing layouts.\n* LLMs, although good at comprehension, suffer at **deterministic extraction**, making them unreliable for accuracy‑sensitive domains like finance and healthcare.\n* Early‑stage vertical AI teams end up becoming **document AI companies**, reinventing the wheel, as evident from **300+ conversations** we’ve had with AI teams of all sizes.\n\n**Solution (What we built)**\n\nWe combine **vision models** with **OCR‑based models** to accurately extract information from complex documents.\n\n**1) Pre‑processing & Segmentation**\n\n* We segment data into **texts, tables, images, and plots** using specialized models for each task.\n* We use a **heatmap‑based chunking** technique that first generates **pivot elements** from the document. Pivot elements are the elements of importance, e.g., **numbers and merged cells in tables**.\n* This chunking strategy ensures all related pieces of information are preserved in the **same chunk** (e.g., a table spanning multiple pages, rows split across pages), while unrelated information is split across chunks. The result: retrieval feeds **only accurate, complete‑context chunks** to LLMs.\n\n**2) Dual‑Stream Representation**\n\nPost pre‑processing, we pass the segmented chunks through **two parallel streams**:\n\n* **Data Stream:** preserves the **extracted content**.\n* **Layout Stream:** preserves the **actual layout & hierarchy** (indentation, alignment, clause/sub‑clause structure).\n\nThis matters because the data is not just text and numbers the **structure carries meaning** (e.g., a right‑aligned cell in a financial table or the way clauses/sub‑clauses are arranged). The dual stream captures both **semantic content** and **structural cues**.\n\n**3) Domain‑Specific Decoder**\n\n* A decoder consumes both the streams and structures the outputs as per the required **JSON schema** or **Markdown**.\n* We incorporate **domain‑specific ontologies** (finance, healthcare, legal).\n* An in-built **RL pipeline** to train the decoder when outputs involve internal terminology that is hard to capture using a general LLM.\n* We generate **confidence scores** for each extracted item; **low‑score items** are collected over time to run **fine‑tuning jobs**\n\nWe can run all of this under fully air-gapped on-premise environments as well for privacy-sensitive verticals.\\\n\\\n**Here are some sample outputs generated by our Vision Models:**\n\n![uploaded image](/media/?type=post&id=95076&key=user_uploads/879419/fdfed5e7-994a-47d3-9357-b20b1d2a3b67)\n\nPIE Chart formatted markdown\n\n![uploaded image](/media/?type=post&id=95076&key=user_uploads/879419/7e78481c-6898-4bfe-a6d8-c49ada7cef52)\n\nJSON output from handwritten, scanned docs, along with confidence scoring and citations.\\\n\\\n**Our Progress:**\n\nWe are already processing millions of pages for Fortune 150 banks, NASDAQ‑listed companies, as well as early‑stage startups (including 10+ YC startups) across finance, legal, and healthcare. On public benchmarks, we consistently outperform solutions from LlamaIndex, Gemini, Mistral, and [**Unstructured.io**](http://Unstructured.io)**,** among others.\n\nHere is a representation of the volume of pages we have processed, stacked on top of each other.\n\n![uploaded image](/media/?type=post&id=95076&key=user_uploads/879419/849f06b2-5d8d-4c77-8b73-40f6661a3f92)\n\n**Our Ask:**\n\nParsing **PDFs, images, PPTs,** or **Excel files** for your **Vertical AI** use case or **RAG** pipeline? Give [**Unsiloed AI**](https://www.unsiloed.ai/) a try. We turn months of ingestion work into one API call for every document type.\\\n\\\nSign up on [**unsiloed.ai**](http://unsiloed.ai) to give it a try (no credit card needed)\\\n\\\n**For any queries or feedback**:\\\n\\\nShoot us an email at [**founders@unsiloed.ai**](mailto:founders@unsiloed.ai) \\\nPing on WhatsApp/iMessage at +1 415 996 5878 (Aman)\\\nWebsite: [**https://www.unsiloed.ai/**](https://www.unsiloed.ai/)", "url": "https://www.ycombinator.com/launches/OjU-unsiloed-ai-make-unstructured-data-llm-ready", "votes": 52, "created_at": "2025-10-31T20:18:08.350Z" } ] }, { "id": 31463, "name": "Armature", "slug": "armature", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cafd940f7349e6c612893fad752013b10458ce39.png", "website": "https://armature.tech", "all_locations": "Paris, Île-de-France, France", "long_description": "Coding agents like Claude Code, Codex and Cursor now decide which tools get installed in a codebase. Armature runs the real agents inside a panel of realistic repositories, measures whether they pick you, and works with your team on the docs, SDK and content that make them choose you.\r\n\r\nWe call this Agent-Led Growth (~coding agents GEO for dev tools).\r\n\r\nAnd once agents use your product, Armature shows you what users do with it through AI, with self-serve MCP analytics and evals that catch regressions before your users see them.", "one_liner": "We get your product picked by coding agents.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1778126369, "tags": [ "Marketing", "SEO", "AI", "APIs" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "France", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/armature", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/armature.json", "year_founded": 2026, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/armature-tech", "x_url": "https://x.com/ArmatureYCP26", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/armature-3615", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cafd940f7349e6c612893fad752013b10458ce39.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": 3408440, "full_name": "Theodore Otzenberger", "title": "Founder/CEO", "founder_bio": "Ex-Palantir, studied at Polytechnique.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/th%C3%A9odore-otzenberger-895345131/", "x_url": "https://x.com/Totzenberger", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aecab3cbccf2f426fe2735507cde98d9e0bdfb27.jpg" }, { "user_id": 3284644, "full_name": "Louis Scremin", "title": "Founder", "founder_bio": "Previously leading AI Automation (AI Agents & MCP servers) at Joko as early employee", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/louis-scremin/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0841ba8c45279329c31ad5a76eab2bdd0c7a79b4.jpg" } ], "jobs": [], "news": [ { "title": "Which tools do Claude, Codex and Cursor choose? We measured 17k runs to find out | Hacker News", "url": "https://news.ycombinator.com/item?id=49557206", "date": "Sep 02, 2026" } ], "launches": [ { "id": 101594, "title": "Armature - Making your app finally usable by AI agents", "tagline": "Armature helps companies monitor, analyze, and optimize how AI agents experience their products.", "body": "Hey everyone, we’re [Theodore](https://www.linkedin.com/in/theodore-otzenberger-895345131/) and [Louis](https://www.linkedin.com/in/louis-scremin/) - Co-Founders of [Armature](https://armature.tech/) 👋\n\n### TL;DR\n\n**Armature helps companies monitor, analyze, and optimize how AI agents experience their products.**\n\n* We discover your product through MCP and CLI, **run the real workflows your customers’ AI agents do** and let you finally see your customers’ agents thinking **traces**.\n* We provide analytics, run **benchmarks**, and turn this into **concrete actions** to improve your MCP and CLI.\n* This is only the beginning: we are reinventing the building blocks of the ~~User~~ **Agent Experience**.\n\n**_The Ask:_** _If you are building a product that is increasingly used by AI agents or if you want to ensure agents can use your product but don’t know where to start, we’d love to hear about your challenges! You can also try our product self-serve **for free** directly at [armature.tech](http://armature.tech)._\n\n\n\n### ❌ The Problem: The Missing Agent Experience (AX)\n\nWe have 30 years of tooling to optimize User Experience (UX), from session replays and funnel analytics to live support chat. But as products are increasingly operated by **AI agents** rather than humans, we lack the equivalent tooling for **Agent Experience (AX)**.\n\nRight now, companies have **zero visibility** into how each agent (Claude, Codex, ChatGPT, OpenClaw, etc.) interacts with their products. And when a bad AX causes an agent to fail silently, the end-user simply churns.\n\nBut it goes deeper. As agents become the primary users, the fundamental mechanics of software products simply stop working. Because if a human isn’t looking at the screen:\n\n* _How do you upsell a premium feature to an AI?_\n* _How do you build brand loyalty with a user that doesn’t feel emotions?_\n* _How do you offer customer support when an agent fails?_\n\nWe are building Armature to solve these exact problems and so many more questions related to this shift!\n\n### 💡 Our Solution: Armature\n\nArmature helps companies monitor, analyze, and optimize how AI agents experience their products.\n\n**What we do today:**\n\n* **Automated testing:** We run complex sessions against your MCPs/CLIs across all major harnesses and models to catch broken workflows before your users do.\n* **AX analytics & benchmarking:** No more black boxes. We trace agent sessions to show you exactly what the model \"thought\", what context it missed, and why it failed. We measure your AX against competitors to ensure you remain the preferred platform for agents to use.\n* **Auto-remediation:** Our MCP lets your internal coding agents plug into Armature to autonomously fix your product's AX based on our run data.\n\n![uploaded image](/media/?type=post&id=101594&key=user_uploads/3408440/5642c5dd-a3b1-46e1-865d-a0425ceba1d5)\n\n**Our vision for tomorrow:**\n\nReaching full understanding of how agents use your product and how you can improve it is only step one. \n\nThe next step is to provide the **foundational infrastructure for the Agent Experience**, powering agent-native revenue, lifecycle marketing, and customer support for the next generation of software.\n\n### 🙏 Our Ask: If you’re building apps for agents, let’s talk!\n\n1. **Audit your MCP or CLI:** If you are building for agents, you can start by running your first audit & benchmark on [**armature.tech**](http://armature.tech) **for free** to see how they actually experience your app.\n2. **Let’s chat:** If you are facing challenges to make your app usable by agents or optimize the agent experience, please reach out to [**founders@armature.tech**](mailto:founders@armature.tech). We’d love to discuss and help you with this!\n\n### 👬 The Team: why we are working on this\n\nBefore founding Armature, Louis scaled **AI agents at Joko, a 6M user consumer app**. Theo was a **FDE at Palantir** and then built petabytes-scale **observability** from scratch as a Founding Engineer at Tsuga, a Datadog spin-off.\n\n**Blindly shipping a self-tested MCP to 6M of edge cases drove us crazy so we decided to build the solution.**\n\n![uploaded image](/media/?type=post&id=101594&key=user_uploads/3408440/bdb32e65-c048-467e-aa62-0e67c8f1fff7)\n\n", "url": "https://www.ycombinator.com/launches/QQc-armature-making-your-app-finally-usable-by-ai-agents", "votes": 25, "created_at": "2026-05-19T20:45:48.490Z" } ] }, { "id": 32227, "name": "Context.dev", "slug": "contextdev", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe20b06c889ed9f1a1b7d9b0ecf522c8e057d68b.png", "website": "https://context.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Context.dev gives AI agents structured data from any website through a single API.\r\n\r\nWe help developers build smarter agents & products that depend on accurate, fresh web data.\r\n\r\nIf you need structured data from the internet, you need Context.dev\r\n\r\nProud to power agentic products at Mintlify, Super, Vizzy, Klarna, and 600+ other companies. ", "one_liner": "We give AI agents realtime web context via API", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1780323126, "tags": [ "B2B", "AI", "APIs" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/contextdev", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/contextdev.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/contextdev/", "x_url": "https://x.com/getcontextdev", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe20b06c889ed9f1a1b7d9b0ecf522c8e057d68b.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": 2538368, "full_name": "Yahia Bakour", "title": "Founder/CEO", "founder_bio": "Founder at Context.dev, building the future of web context for AI.\n\nPreviously Principal SWE/Manager at Sunrun. Ex-Amazon SDE2, tech lead on tier-1 retail checkout platform. Co-founder at StockAlarm.io (acquired), scaled to 225K+ users, 100K+ daily notifications.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yahia-bakour/", "x_url": "https://x.com/mynameisyahia", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b419df2397373e6789300f64b85611798b1b6f2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109242, "title": "Context.dev: Live web data API for AI agents", "tagline": "One API to collect, structure, and continuously refresh internet data for AI", "body": "Hello!\n\nYahia here, founder of [Context.dev](https://link.context.dev/yc) (YC S26).\n\n**TL;DR:** [Context.dev](https://link.context.dev/yc) turns the live web into structured data for AI agents and applications. Trusted by Mintlify, Passionfroot, Rho, and more than 400 customers.\n\nThe web was built for humans to browse, not agents to understand.\n\nOnce an AI product needs live internet data, its team often ends up maintaining browsers, proxies, crawlers, parsers, queues, retries, caches, and multiple data vendors.\n\nWe built Context.dev so that entire workflow starts with one API.\n\n\n\n**How it works**\n\nGive Context.dev the sources your product cares about and tell us what context you need. We collect it, structure it, and keep it current without your team building the infrastructure underneath.\n\n* Send URLs, domains, companies, websites, sitemaps, or files.\n* Get back clean Markdown, screenshots, company data, or structured JSON matching your schema.\n* Use Batches to process large workloads and Monitors to keep information current.\n* We handle the browsers, proxies, rendering, extraction, caching, retries, and queues underneath.\n\nHere’s what customers are already using it for:\n\n* **Soria** monitors hundreds of healthcare and financial sources.\n* **Murph** structures data on 2M+ foods, supplements, and tests.\n* **Mintlify** turns GitHub repositories into custom branded documentation.\n* **Executor** discovers and structures API docs across 3,000+ integrations.\n* **Dench** monitors social platforms for leads, generating $3M+ in pipeline.\n* More stories at [context.dev/customers](http://context.dev/customers)\n\nYour team builds the product. Context.dev keeps it connected to the live web.\n\n**The team**\n\nI’m Yahia Bakour, founder of[ Context.dev](https://link.context.dev/yc). Before this, I led engineering at Sunrun, worked at Amazon, and built and sold two startups.\n\nI started [Context.dev ](https://link.context.dev/yc)after watching teams repeatedly rebuild, and get stuck maintaining, the same web data infrastructure.\n\nToday, our team of 4 is building the context layer between the internet and every agent or application that needs to understand it.\n\nModels are no longer the main bottleneck for intelligent knowledge work. Context is.\n\n**Our ask to you**\n\nIf you’re building an AI product that needs internet data at scale, **please reach out**. We would love to learn what you’re building and where the existing tools fall short.\n\nYou can also try the API with 500 free credits and no credit card at [**Context.dev**](https://link.context.dev/yc)\n\nSchedule a call: \\\nEmail: [yahia@context.dev](mailto:yahia@context.dev)", "url": "https://www.ycombinator.com/launches/SPy-context-dev-live-web-data-api-for-ai-agents", "votes": 113, "created_at": "2026-08-05T18:02:48.007Z" } ] } ]