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**Autodoc** automates the boring part: it scans your PRs, understands your code, and generates high-quality Javadoc so you don’t have to.\n\n## **Key Features**\n\n* ✨ **Understands Your Code** – Skips trivial getters and setters, focusing only on meaningful docs\n* 🔄 **PR-Native** – Runs on pull requests, adds docs in a clean commit.\n* 🎯 **Team-Ready** – Customize prompts for your standards.\n* 🚀 **Open Source** – Install, use, and improve it on GitHub.\n\nSo how does it actually work?\n\n## **How It Works**\n\nOpen a PR, and Autodoc gets to work. It scans the changed Java files, **adds contextual Javadoc where it’s missing**, and pushes a separate commit with the docs. **Reviewers see the docs right inside the PR and can refine them like any other code.**\n\n## **Get Started**\n\n👉[ Get started with Autodoc on GitHub](https://github.com/manycore-com/JavadocGithubAction?utm_source=chatgpt.com)\n\n_(Requires a valid Claude API account.)_\\\n\\\nBlog post: [https://deviantabstraction.com/2025/08/29/autodoc-ai-writing-your-javadoc](https://deviantabstraction.com/2025/08/29/autodoc-ai-writing-your-javadoc/%5C)\\\nGithub Repo: https://github.com/manycore-com/JavadocGithubAction", "url": "https://www.ycombinator.com/launches/OKI-autodoc-open-source-ai-writing-your-javadoc", "votes": 7, "created_at": "2025-09-02T18:38:30.015Z" }, { "id": 70040, "title": "Inboxbooster: Get back to the inbox", "tagline": "We fix email in spam", "body": "**Tl;dr; If you’re in spam or promotion,** [**Inboxbooster**](https://inboxbooster.com) **will fix it. Free** [**Sign up**](https://detector.inboxbooster.com/accounts/signup/)\n\n### **My newsletter is in promotion**\n\nHave you ever had that problem? Have you ever had your business revenue drops because of spam placements? Do you dread the promotion tab?\n\n![uploaded image](/media/?type=post&id=70040&key=user_uploads/126917/27d19339-a345-4256-840e-5faaa2f3ced6)\n\nIf this ever happened to you, you’ll love us. We’re fixing this email problem once and for all. Inboxbooster fixes email in spam and promotion.\n\n### **Why are you in spam?**\n\nSenders are in spam for a combination of:\n\n* **Incorrect Email DNS Setup**. The keywords are DKIM, SPF, and DMARC.\n* **Bad Reputation**. Mailbox providers score IPs and domains from their past behavior.\n* **Content Filter**, the content of your emails triggers the filters.\n\nUsually, the root cause is a combination of these factors, and they compound. For instance, your DMARC is wrongly set up and triggers Gmail to send all your emails to spam. Because nobody is marking the email as \"not spam,\" Gmail decides that your email is spam. Now your domain and your content have a bad reputation. You fixed your DMARC, but your emails are still going to spam because of what happened.\n\n### **How does Inboxbooster fix spam placements?**\n\nSpam filters work by scoring how people interact with your emails. Once in spam, your emails are interacted with much less. Hence they tend to stay in spam. This is this vicious cycle that Inboxbooster breaks.\n\nWe resolve this quandary by identifying the elements in your email triggering the spam filter and the root cause.\n\nThe first step is to send us your email: we’ll tell you where you’re in spam, promotion, and if you have any DNS issues. This is free.\n\n![uploaded image](/media/?type=post&id=70040&key=user_uploads/126917/4410a7b2-816a-4fb6-8f82-1e58aee86ca4)\n\nThen we’ll build a step-by-step solution guide with the root cause, the short-term fix, and the long-term fix.\n\n![uploaded image](/media/?type=post&id=70040&key=user_uploads/126917/ecec4fc4-4ade-403f-b097-991093fc528b)\n\nAlso, we love talking to you, so please [book some chat time with us](https://calendly.com/inboxbooster/inboxbooster-onboarding?).\n\n### **About Us**\n\nWe, [Nicolas](https://www.linkedin.com/in/nicolas/) and [Marcus,](https://www.linkedin.com/in/ehsmeng/) built this product. We are a proud two-people company. Nicolas is a deliverability expert. He co-founded an email delivery company and delivered more than 50 billion emails in his career. Marcus is a recognized CTO who co-founded Pond5.\n\n### **Our Asks**\n\nTry it, please with it, email us, and give us feedback\n\n[Sign up](https://detector.inboxbooster.com/accounts/signup/)", "url": "https://www.ycombinator.com/launches/IDg-inboxbooster-get-back-to-the-inbox", "votes": 15, "created_at": "2023-03-09T01:01:12.292Z" }, { "id": 65940, "title": "Inboxbooster: Free Inbox Monitoring", "tagline": "We tell you where, when and why your emails are in spam. Free signup.", "body": "# We tell you where, when and why your emails are in spam. Free signup\n\n# \n\n# **Problem**\n\nThis email is in spam in my mailbox but its open rate is good. What happened? Google moved some emails of this senders in spam.\n\n![uploaded image](/media/?type=post&id=65940&key=user_uploads/126917/e51821f0-901e-4f66-b729-16d8b2feda8a)\n\nFor marketer or a sales person, this is an obvious problem. Most of my emails could go to spam without me knowing. How do I know? What should I do? Inboxbooster is your answer.\n\n# **Effortless Deliverability Monitoring**\n\n[Inboxbooster](https://inboxbooster.com) will answer all these questions for you. Are you significantly in spam, for which templates, where and how to get out of the spambox.\n\n# **Setup**\n\nSetup is [super simple](https://inboxbooster.com/2022/07/15/installation/): create an account, add your unique deliverability beacon to your email and you’re done.\n\n**24/7 Alert**\n\nInboxbooster will alert you 24/7 when we detect a problem.\n\nOur [Free Edition](https://inboxbooster.com/2022/07/15/why/) works only for Gmail/Workspace and tells you if you’re in spam.\n\n[Sign up](https://detector.inboxbooster.com/accounts/signup/)", "url": "https://www.ycombinator.com/launches/H9Y-inboxbooster-free-inbox-monitoring", "votes": 22, "created_at": "2022-09-09T00:01:56.590Z" } ] }, { "id": 1536, "name": "Terark", "slug": "terark", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://www.terark.com", "all_locations": "Beijing, Beijing, China", "long_description": "Terark built a new storage engine for Database and Data Systems. Our technology enables direct search on highly compressed data, with 200X faster read performance and more than 10X storage savings (better than Google's LevelDB, Facebook's RocksDB), getting larger scalability with lower cost for big data applications. Alibaba is our paying customer, and we are a YCombinator company.", "one_liner": "Fastest Storage Engine with the Best Compression, we enables direct…", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1478745619, "tags": [ "Big Data", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2017", "status": "Acquired", "industries": [ "B2B", "Infrastructure" ], "regions": [ "China", "East Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/terark", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2017/terark.json", "year_founded": null, "city": "Beijing", "country": "CN", "linkedin_url": null, "x_url": null, "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/terark", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 143026, "full_name": "Sean Fu", "title": "Founder/CEO", "founder_bio": null, "is_active": true, "linkedin_url": "https://cn.linkedin.com/in/xinyuanfu", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ba7fc5a72ed09bb9d6a28b8afe7dd7f60a4fbb56.jpg" }, { "user_id": 143678, "full_name": "Peng Lei", "title": "Founder", "founder_bio": null, "is_active": true, "linkedin_url": "https://www.linkedin.com/in/peng-lei-b2599535", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/19055c89c912137a10c1a005252636367b77bb5d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 12867, "name": "Vorticity", "slug": "vorticity", "former_names": [ "Nabla Computing", "Nabla Inc" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bf45a738c52014231eb5cc7bfba5ca712ef23c50.png", "website": "http://vorticity.xyz/", "all_locations": "San Francisco, CA, USA", "long_description": "Many pressing problems facing humanity can be solved with faster scientific compute. Currently, it takes billions of dollars to design and develop a new fusion reactor, a hyper-sonic airplane or a new cancer treatment. This is because scientists and engineers have to build very expensive things before they even know if their ideas work. But what if we can simulate the workings of these ideas (and more) on computers first and have high confidence that it works before we build really expensive things?\r\n\r\nThe work of humanity's greatest scientists over the years has given us the physics and math to do this. The problem is that we simply do not have the computing power to solve these big problems.\r\n\r\nTo address this, the Vorticity Inc is re-imagining scientific computing all the way down to processor architecture and system design. Our proven technology is already helping the energy, life sciences and aerospace industries.", "one_liner": "The Fastest Scientific Computing Platform on the Planet", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1559271873, "tags": [ "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2019", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "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/vorticity", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2019/vorticity.json", "year_founded": 2019, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vorticityinc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bf45a738c52014231eb5cc7bfba5ca712ef23c50.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 344807, "full_name": "Chirath Neranjena", "title": "Founder", "founder_bio": "Aerospace Engineer.\nPrivate pilot, amateur musician and photographer.\nCaltech | Idealab | GoogleX | Y Combinator.\nMade in Sri Lanka\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chirath-neranjena-8299241/", "x_url": "https://twitter.com/neranjena?lang=en", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6048c541901923761fbace17efeaa283c82f50c0.jpg" } ], "jobs": [ { "id": 103741, "title": "Software Engineer, Parallel Scientific Computing", "url": "https://www.ycombinator.com/companies/vorticity/jobs/Sr2dhMZ-software-engineer-parallel-scientific-computing", "location": "Redwood City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $190K", "equity_range": "0.25% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 13091, "name": "Porter", "slug": "porter", "former_names": [ "Bloom" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a4ed1610bf1bf1bff5ffcd350ef85f5c381ad63f.png", "website": "https://porter.run", "all_locations": "New York City, NY, USA", "long_description": "Porter is the easiest way to deploy and scale your applications on AWS, Azure, and GCP. Connect your own cloud account, and Porter will provision and manage the underlying infrastructure for you - simply point at your repository and Porter will handle the rest, from building your application to autoscaling it.\r\n\r\nUnder the hood, Porter manages the same kind of infrastructure that growth-stage companies use and allows you to scale without DevOps overhead.", "one_liner": "Easiest way to deploy on AWS/GCP/Azure", "team_size": 18, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1599762607, "tags": [ "Developer Tools", "SaaS", "B2B", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2020", "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/porter", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/porter.json", "year_founded": 2020, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/porterrun/", "x_url": "https://twitter.com/porterdotrun", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a4ed1610bf1bf1bff5ffcd350ef85f5c381ad63f.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": 176129, "full_name": "Justin Rhee", "title": "Founder", "founder_bio": null, "is_active": true, "linkedin_url": "https://www.linkedin.com/in/justin-rhee-61634112a/", "x_url": "https://twitter.com/rheejust", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff61ee4351d032f02e9dd2df6b9995d3992db023.jpg" } ], "jobs": [ { "id": 43716, "title": "Full Stack Engineer", "url": "https://www.ycombinator.com/companies/porter/jobs/6QhplSz-full-stack-engineer", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Go", "React", "TypeScript" ] }, { "id": 44501, "title": "Backend Engineer (Go)", "url": "https://www.ycombinator.com/companies/porter/jobs/GjO3enf-backend-engineer-go", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$100K - $200K", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "Go", "Kubernetes", "Docker" ] }, { "id": 46166, "title": "Growth/Product Engineer", "url": "https://www.ycombinator.com/companies/porter/jobs/V5kia33-growth-product-engineer", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$100K - $200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "CSS", "React", "TypeScript" ] }, { "id": 60380, "title": "Frontend Engineer", "url": "https://www.ycombinator.com/companies/porter/jobs/GD7hwtI-frontend-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$150K - $200K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "React" ] }, { "id": 61258, "title": "Staff Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/porter/jobs/Tz5EW2n-staff-infrastructure-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$200K - $280K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Microsoft Azure", "Go", "Google Cloud", "Kubernetes" ] }, { "id": 81057, "title": "Staff Frontend Engineer", "url": "https://www.ycombinator.com/companies/porter/jobs/UrP0LRr-staff-frontend-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$200K - $280K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "React", "TypeScript" ] }, { "id": 81058, "title": "DevOps Support Engineer", "url": "https://www.ycombinator.com/companies/porter/jobs/Fc0Rzny-devops-support-engineer", "location": "Remote", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$120K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Amazon Web Services (AWS)", "Microsoft Azure", "Google Cloud", "Kubernetes" ] }, { "id": 92849, "title": "Founding Security Engineer", "url": "https://www.ycombinator.com/companies/porter/jobs/UdlFqlr-founding-security-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$200K - $300K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Microsoft Azure", "Google Cloud", "Kubernetes", "Software Security" ] } ], "news": [ { "title": "Platform as a service startup Porter aims to become go-to for deploying, managing cloud-based apps – TechCrunch", "url": "https://techcrunch.com/2021/07/30/platform-as-a-service-startup-porter-aims-to-become-go-to-platform-for-deploying-managing-cloud-based-apps/", "date": "Jul 30, 2021" } ], "launches": [ { "id": 71916, "title": "Porter - Turn your AWS account into Heroku", "tagline": "Porter brings the magical experience of deploying applications with a few clicks into your own cloud account.", "body": "**TLDR -** [Porter](https://porter.run) is a Platform as a Service (PaaS) that runs in your own cloud. It brings the magical experience of deploying your applications with a few clicks into your own cloud account. After a year since we closed down our self-serve flow, we are opening Porter back up for self-serve today.\n\n* [Sign up here](https://dashboard.getporter.dev) and start deploying applications on your own infrastructure that scales with you.\n* [Claim $10,000 in credits](https://gcpjnf9adme.typeform.com/to/lHMQdJYb) if your company is enrolled in YC Startup School. Along with the AWS credits you can claim from Startup School, this deal effectively lets you deploy on a PaaS for free - it’s like using Heroku with your AWS credits!\n\n![uploaded image](/media/?type=post&id=71916&key=user_uploads/323071/cc2f3fac-340f-4f39-9e4d-533f7ab40053)\n\n## **What is Porter?**\n\nHi everyone,\n\nWe are Trevor and Justin from [Porter](https://porter.run/). We first launched Porter almost 2 years ago - a lot has happened since then, and today we’re excited to re-launch our product and share our story so far.\n\n**For those of you who aren’t familiar:**\n\n_Porter is a Platform as a Service (PaaS) that runs in your own cloud. You just link up your Git Repository, and Porter will deploy it into your own AWS/GCP/Azure account. Under the hood, it runs your apps on a Kubernetes cluster that’s been battle-tested against real life incidents so you can scale on the same kind of infrastructure that growth-stage companies run without any DevOps work._\n\n## **The PaaS Graduation Problem**\n\nMany startups first get started on a PaaS like Heroku to move quickly without worrying about infrastructure. However, most of these companies end up migrating to their own cloud infrastructure at some point, because their applications need more flexibility as they scale (they “graduate” from their PaaS provider). Moving off production applications off a PaaS is time-consuming and difficult, and hosting all of your infrastructure on in-house solutions of a single PaaS vendor comes with the risk of getting locked in.\n\nPorter hits the sweet spot between simplicity and flexibility by allowing startups to deploy into their own cloud infrastructure with the convenience of a PaaS. Get started on Porter just as easily as you would on a traditional PaaS, then customize your infrastructure freely as you grow. Under the hood, Porter runs a Kubernetes cluster with the same kind of architecture that growth-stage companies build out with an army of infra engineers, so you don’t have to worry about outgrowing the infrastructure.\n\n## **Opening back up for self-serve**\n\n**Porter was originally open for self-serve when we first launched.** We onboarded a lot of companies through the self-serve flow in the beginning, but after a few months quickly realized that we didn’t have the resources to properly manage the Kubernetes clusters that are distributed across different cloud accounts at scale.\n\nThis led us to the difficult decision of shutting down our self-serve function and focusing on larger growth-stage companies that warrant the scalability of Kubernetes. This strategy worked well - we incrementally moved upmarket, quickly grew our revenue, and even onboarded a few public companies.\n\nAfter a year since the initial launch, however, something fascinating started happening; some of the seed-stage companies we’ve onboarded in the beginning started to reach true scale on Porter. [Writesonic](https://www.ycombinator.com/companies/writesonic) (YC S21), who first started on Porter during their YC batch, now runs a Kubernetes cluster with 1.5 _Terabytes_ of RAM without a single full-time infra engineer. [Memberstack](https://www.ycombinator.com/companies/memberstack) (S20) routinely handles more than a million requests a day processing >$5M in payments every month, and [OneShop](https://www.ycombinator.com/companies/oneshop) (S21) runs 60 different integration services on Porter. The list goes on.\n\nBecause we had been building a product for larger companies, our platform evolved on many axes to accommodate projects that are running at true scale - and we have lived long enough to witness companies who initially had tiny workloads on Porter organically grow into a scale that we’ve never even imagined.\n\nWe took the learnings from this experience and are opening Porter back up for self-serve with two key improvements:\n\n1. With a new onboarding and deployment flow, getting started on Porter is truly just as easy as using a traditional PaaS like Heroku or Render. **The only difference** is that you need to connect your cloud account and wait 30 minutes for infrastructure to be provisioned.\n\n ![](https://www.ycombinator.com/media/?type=post&id=71916&key=user_uploads/323071/890e143d-5d10-4138-9c8e-aeb05a89d420)\n\n2. We’ve built out an internal system that oversees and manages the Kubernetes clusters that are distributed across different cloud accounts, so we are now ready to support a self-serve motion at scale.\n\nYou can [get started here](https://dashboard.getporter.dev). If you’re enrolled in YC Startup School, [claim $10k in credits here](https://gcpjnf9adme.typeform.com/to/lHMQdJYb).", "url": "https://www.ycombinator.com/launches/Ihw-porter-turn-your-aws-account-into-heroku", "votes": 41, "created_at": "2023-05-30T18:48:51.452Z" } ] }, { "id": 22704, "name": "Triplit", "slug": "triplit", "former_names": [ "Aspen Cloud" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bad31a4bcc3d6ffc3f0bab1c3e693a7a1134c50c.png", "website": "https://www.triplit.dev", "all_locations": "Remote", "long_description": "Triplit is complete full-stack solution to data persistence, state management, and realtime synchronization for web applications that want to go fast", "one_liner": "The best database for app developers", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1614190988, "tags": [ "Developer Tools", "SaaS", "Web Development", "Cloud Computing", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/triplit", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/triplit.json", "year_founded": 2020, "city": null, "country": null, "linkedin_url": "", "x_url": "https://twitter.com/triplit_dev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/aspen-cloud", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bad31a4bcc3d6ffc3f0bab1c3e693a7a1134c50c.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": 179179, "full_name": "Matthew Linkous", "title": "Founder", "founder_bio": "Used to launch new features on the Google Search page and now building the best database for application developers!", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/matthewlinkous/", "x_url": "https://twitter.com/matthew_linkous", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e2b534c4afa0fb288b927e8fe08ba623f8f9e112.jpg" }, { "user_id": 309073, "full_name": "Will Ernst", "title": "Founder", "founder_bio": "Software engineer with a background in finance and performant web applications. Building Triplit - the full-stack database platform for application developers. Middlebury College graduate.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/will-ernst-71557297/", "x_url": "https://twitter.com/will_ernst", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/39750d1e982a1cdac2175182b41f1a88e949e4f8.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 22974, "name": "LogisticsOS", "slug": "logisticsos", "former_names": [ "Silkroads.ai", "logisticsOS.ai", "logisticsOS" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0c3a2949d5b00e96a695286945f94952d99655cd.png", "website": "https://logisticsos.com", "all_locations": "Ontario, CA, USA; Remote", "long_description": "LogisticsOS provides route optimization and fleet dispatching algorithms as services to let any last-mile company offer same-day and next-hour delivery. We are the creators of the route optimization engine that both FedEx and USPS are using on production today. We increase profit per delivery by 15% and optimize thousands of deliveries in seconds using 30X faster algorithms.", "one_liner": "World's fastest and most optimal route optimization engine", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1610906188, "tags": [ "SaaS", "Delivery", "Logistics", "API", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "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/logisticsos", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/logisticsos.json", "year_founded": 2020, "city": "Ontario", "country": "US", "linkedin_url": "https://www.linkedin.com/company/logisticsos-inc", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0c3a2949d5b00e96a695286945f94952d99655cd.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": 494692, "full_name": "Yuzhe Yan", "title": "Founder", "founder_bio": "Hi there, I am Yuzhe. I am an algo expert and a C++ guru. Let me know how I can help. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yuzhe-yan-257573a8/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/26e985e47e358b5a1d6793112c9c2593ccff3291.jpg" }, { "user_id": 587833, "full_name": "Tiangang Song", "title": "Founder", "founder_bio": "Tech geek, ask me about any technologies. Also interested in many other fields like music, philosophy, psychology, physics, etc.", "is_active": true, "linkedin_url": "http://linkedin.com/in/tgsong", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2483d169153800a786f05f44bc92118a71553488.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 24348, "name": "Cloudthread", "slug": "cloudthread", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/901ce3d4d85e5af8508dc541cdc117afcf14c583.png", "website": "https://cloudthread.io", "all_locations": "San Francisco, CA, USA", "long_description": "Cloudthread is an analytics platform that helps engineering teams build cost efficiently in the cloud. We were behind Lyft's internal cloud cost management system and now we use that deep expertise to help organizations save hours of engineering time, reduce cloud bills, and prevent costly re-architectures.", "one_liner": "Eliminate Cloud Waste. Attribute and Track Savings. Engage Engineers.", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1628208703, "tags": [ "Developer Tools", "FinOps", "B2B", "Workflow Automation", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cloudthread", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/cloudthread.json", "year_founded": 2020, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cloudthread", "x_url": "https://twitter.com/_Cloudthread_", "fb_url": "https://m.facebook.com/Cloudthread.io/", "cb_url": "https://www.crunchbase.com/organization/cloudthread", "github_url": "https://github.com/cloudthread", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/901ce3d4d85e5af8508dc541cdc117afcf14c583.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 738583, "full_name": "Ilia Semenov", "title": "Founder", "founder_bio": "🚀ex-Lyft (2016-2020): Data Engineering + Cloud Cost Management\n🎮ex-EA (2014-2016): Cloud Cost Management\n🎓Carnegie Mellon University\n🏡Saint-Petersburg, Russia\n🌁San Francisco, USA", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/iliavsemenov/", "x_url": "https://twitter.com/ilia_v_semenov", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/17bcfa797b83e672337eae9735fd7f5b270c9e48.jpg" } ], "jobs": [], "news": [ { "title": "Cloudthread Raises $3M to Help Engineering Teams Build in the Cloud With Cost Efficiency - Grit Daily News", "url": "https://gritdaily.com/cloudthread-raises-3m-to-help-engineering-teams-build-in-the-cloud-with-cost-efficiency/", "date": "Dec 15, 2021" } ], "launches": [ { "id": 71628, "title": "Cloudthread ☁️🧘‍♂️ Your Cloud Cost Savings Hub", "tagline": "Meet Cloudthread, the radical cloud waste reduction platform for modern teams", "body": "Hey YC! We're thrilled to announce the launch of [**Cloudthread Savings Hub**](https://www.cloudthread.io/), brought to you by [**@Ilia**](https://www.cloudthread.io/), [**@Daniele**](https://www.linkedin.com/in/danielepackard/), and [**@Thomas**](https://www.linkedin.com/in/thomasyopes/)! 🎉\n\n# TL;DR\n\n**Cloudthread Savings Hub** empowers you to identify and eliminate wasted cloud spend, streamline optimization workflows, and **maximize savings**.\n\nDiscover optimization opportunities, prioritize based on expected savings and implementation complexity, gain detailed context, group and share through Jira and Slack, track progress, and analyze realized savings.\n\nSupports **AWS** and **GCP**.\n\n![uploaded image](/media/?type=post&id=71628&key=user_uploads/738583/733b2dec-ae3d-411f-af62-46349eb8bdc0)\n\n# **The Problem**\n\nDespite various tools, sources, and techniques to manage cloud costs, achieving actual savings remains challenging. Many tools are expensive and charge a percentage of your total bill.\n\n# **The Solution**\n\nCloudthread Savings Hub disrupts the market by offering a combination of product and services laser-focused on eliminating cloud waste. We aggregate cost savings insights from various sources (including native cloud provider data), enrich it with valuable context, and facilitate workflow creation to effectively implement recommendations. We charge a **flat fee** for our product and a percentage of savings for service engagements.\n\n# **How It Works**\n\n\n\n### **💰 Special Deal + Ask**\n\n💰 For the next two weeks, find over $500 in monthly AWS savings with Cloudthread’s Savings Hub or receive a **$100 Amazon Gift Card** 🎁\n\n[**www.cloudthread.io/aws-save-or-get-paid**](https://www.cloudthread.io/aws-save-or-get-paid)\n\nJoin us in revolutionizing cloud cost management with Cloudthread Savings Hub!\n\n# **About Us**\n\nAt [**@Cloudthread**](https://bookface.ycombinator.com/company/24348), we're committed to making cloud cost analytics accessible for businesses of all sizes. Our platform enables engineering teams to lower cloud costs easily and effectively. We've helped enterprises with 8-figure cloud bills, high-growth startups, and everything in between achieve cloud cost efficiency.\n\nA few months ago, [**we launched our cloud cost saving services on Bookface**](https://bookface.ycombinator.com/posts/70004) for the YC community. Since then, we've helped companies reduce their AWS spend by **10-50%**!\n\nOur team has been working in cloud cost management since **2014**. [**@Ilia Semenov**](https://bookface.ycombinator.com/user/738583) managed cloud costs at Electronic Arts before leading Lyft's cloud cost management efforts ahead of their IPO, resulting in a **40% reduction** in AWS spend ([**case study**](https://aws.amazon.com/solutions/case-studies/lyft-cost-management/) and [**AWS Re:Invent talk**](https://youtu.be/ChupgIbZr5Q?t=2479)). Through Cloudthread, we've tackled cloud cost challenges across numerous AWS services.", "url": "https://www.ycombinator.com/launches/IdI-cloudthread-your-cloud-cost-savings-hub", "votes": 19, "created_at": "2023-05-17T15:50:55.737Z" } ] }, { "id": 25312, "name": "Ravion", "slug": "ravion", "former_names": [ "Flightcontrol" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/37e14c5170610d3f3a08f942bf5e63e5d48ced34.png", "website": "https://www.ravion.com?ref=bookface", "all_locations": "Dayton, OH, USA; Remote", "long_description": "Ravion is the easiest way to use AWS for agents and humans. Get a Vercel-like experience in your own AWS account, with one place to manage and monitor Terraform resources, builds, and deploys.\r\n\r\nUse your existing Terraform or start with our standard library of modules. Build and deploy applications, inspect logs and metrics, and customize modules and pipelines as your needs grow.\r\n\r\nYour agents get structured configuration, complete CLI and API access, and connected context across infrastructure and deployments. Reviewable plans, permissions, approval gates, and audit history keep your team in control.\r\n\r\nYou get a production-grade AWS system without assembling every DevOps capability from scratch.", "one_liner": "The easiest way to use AWS for agents and humans", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1646146960, "tags": [ "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ravion", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/ravion.json", "year_founded": 2021, "city": "Dayton", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ravionhq", "x_url": "https://x.com/ravion", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/ravion", "github_url": "https://github.com/flightcontrolhq", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/37e14c5170610d3f3a08f942bf5e63e5d48ced34.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": 280296, "full_name": "Brandon Bayer", "title": "Founder", "founder_bio": "CEO & Cofounder Ravion | Creator of Blitz.js\nOutside of work I love flying airplanes and helicopters, rock climbing, tennis, riding my unicycle, and reading books", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brandonbayer1/", "x_url": "https://x.com/flybayer", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/679e4829d84b8de90e848573ce58db266d96ef96.jpg" }, { "user_id": 867633, "full_name": "Mina Abadir", "title": "Founder", "founder_bio": "Co-Founder Ravion.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mabadir/", "x_url": "https://mobile.twitter.com/abadir_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/99fd127aad68e0240be6e838d9b7183b6f799da1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 114496, "title": "Ravion – the easiest way to use AWS for agents and humans", "tagline": "Get a Vercel-like experience in your own AWS account. You and your agents get one place to manage and monitor Terraform resources, builds, and deploys.", "body": "**TL;DR:** Ravion is the easiest way to use AWS for agents and humans. Get a Vercel-like experience in your own AWS account, with one place to manage and monitor Terraform resources, builds, and deploys. Use your existing Terraform or start with our standard library of modules, then customize as your needs grow.\n\n![uploaded image](/media/?type=post&id=114496&key=user_uploads/280296/a5bdea0f-19b9-46f4-8553-35cd76b2c238)\n\n![uploaded image](/media/?type=post&id=114496&key=user_uploads/280296/841484c9-539d-4f3d-bb30-6770859a1a03)\n\n\n\nWe launched Flightcontrol during W22 to make AWS as easy as using a PaaS. Over the past five years, Flightcontrol managed millions of AWS compute for thousands of users. Developers loved it, but devops teams needed something they could extend and govern.\n\nBefore AI, we were pursuing ease of use and good DX, but that’s less important now. Today when evaluating products, we want the most powerful product in the market that is also agent-friendly.\n\nRavion is what we built from scratch over the past 13 months for this new world.\n\n**WHAT IT IS**\n\nRavion is the agent-native cloud infrastructure platform that gives you one system to orchestrate everything in your AWS account.\n\n**Import or provision** new infrastructure, **build** and **deploy** any type of application, and **monitor** logs and metrics, all from one agent-friendly platform.\n\nUse your existing Terraform or start with our standard library of Terraform-backed modules.\n\n**Saves time and tokens** because AI agents get typed module schemas and connected context across infrastructure state, deployments, failures, logs and metrics.\n\n**Enhances safety** by gating infrastructure changes on preview plans and approval gates.\n\nThe result is a production-grade AWS DevOps system that you didn’t have to assemble from scratch and is fully customizable as your needs change.\n\n> I love Ravion's agent-friendly structure for getting great defaults on AWS while still being able to customize deployments just the way we need. And their support has been invaluable.” -Edgars Jekabsons, Engineering Manager at Ember\n\n**HOW YOU CAN USE IT**\n\n* **Start fresh:** use our production-ready module library to deploy any type of service in a single prompt\n* **Plug and play your existing Terraform:** start with Ravion as an Terraform Cloud or Spacelift alternative, then package existing stacks into governed modules over time.\n* **Have existing AWS infra from click-ops?** Import them into Ravion standard modules so they become tracked by infrastructure-as-code and exposed to agents through Ravion.\n\n**KEY FEATURES**\n\n* Deploy web servers, workers, static sites, Lambda function databases, caches, file storage, and more\n* Standard modules for ECS, EC2, VPC, load balancers, RDS, Aurora, CloudFront, Lambda, S3, Route53, IAM, ElastiCache, and more\n* GitHub action style pipelines that run in your AWS for builds and other CI\n\nLearn more and get started for free at [Ravion.com](https://www.ravion.com?ref=yc)\n\n---", "url": "https://www.ycombinator.com/launches/Tmi-ravion-the-easiest-way-to-use-aws-for-agents-and-humans", "votes": 8, "created_at": "2026-09-10T01:16:17.661Z" }, { "id": 76674, "title": "Flightcontrol - Developer-first AWS infrastructure", "tagline": "Use the best AWS services without tedious infra work", "body": "AWS has been too intimidating and tedious, causing teams to settle for a simplistic black-box PaaS or hiring DevOps too early. But no more! 🙅🏼\n\nOur **Developer-first AWS infrastructure** enables you to use the best AWS services without manual infra work. In fact, you might even call it delightful 😍\n\n![](https://www.flightcontrol.dev/_next/image?url=https%3A%2F%2Fwww.datocms-assets.com%2F98758%2F1699399752-browser-min.png%3Ffit%3Dcrop%26q%3D90&w=3840&q=75)\n\n**Simple setup**\n\n1️⃣ Connect your GitHub & AWS accounts in 1-click\\\n2️⃣ Zero config or customize to your heart’s content\\\n3️⃣ Relax while we deploy to your AWS\\\n4️⃣ Never worry about hitting the technical or cost limits of black box PaaS\n\n**Deploy every language, globally**\n\n✅ Servers, background workers, static sites, databases, redis. Coming: cron, Lambda and more\\\n✅ Every language and framework\\\n✅ Use all 32 AWS regions. Multi-region deploys are in early access\n\n**A few years ago** I was building an app that should have been using native AWS services. I tried, but it was too hard. So I ended up on Vercel with a Frankenstein collection of third-party services. It worked ok until I accidentally racked up a $6,000 bill 😬 That was my fault, but the rickety setup of callbacks and lambda chains made it much easier to fail.\n\nSo I thought, why can’t I have a great developer experience on my own AWS account?! Then I met [**@Mina Abadir**](https://www.linkedin.com/in/mabadir/) who has been using AWS since S3 & EC2 were all they had. He had the same vision of a better cloud, so we joined forces and the rest is history!\n\n**You can now easily deploy and manage AWS services without having to use AWS console or CLI.** The all-new dashboard has runtime logs, metrics, and even live AWS cost reporting.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=76674&key=user_uploads/280296/fb138ef1-3f3a-476b-8b35-ed751e7a35cd)\n\n2\\.0 barely scratches our vision. But it's now a mature product we're really proud of!\n\nCompanies of all sizes from startups to Series H are now using us to deploy thousands of times each month.\n\n**We’re known for providing an exceptional level of support.** So whether you are just starting or have a massive setup to migrate, we’re available to help and make sure everything goes smoothly.\n\n**If you are even a little bit frustrated** with your current infra setup, I invite you to take Flightcontrol for a test flight!\n\nStart a free trial: [**www.Flightcontrol.dev**](https://www.Flightcontrol.dev?ref=launchyc)", "url": "https://www.ycombinator.com/launches/Jwg-flightcontrol-developer-first-aws-infrastructure", "votes": 16, "created_at": "2023-12-05T16:23:03.821Z" } ] }, { "id": 25575, "name": "Beam", "slug": "beam", "former_names": [ "Slai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cf7324872fe6b37d7579334928f7018d2099483b.png", "website": "https://beam.cloud", "all_locations": "New York City, NY, USA", "long_description": "Beam is cloud platform for AI inference, sandboxes, and agents.", "one_liner": "AI-Native Cloud Platform", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1641494547, "tags": [ "Developer Tools", "Open Source", "Cloud Computing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/beam", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/beam.json", "year_founded": 2021, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/slai-labs", "x_url": "https://twitter.com/beam_cloud", "fb_url": null, "cb_url": null, "github_url": "https://github.com/beam-cloud/beta9", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cf7324872fe6b37d7579334928f7018d2099483b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 313369, "full_name": "Eli Mernit", "title": "Founder", "founder_bio": "Co-Founder of Beam. Former competitive cyclist and hackathon winner. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/mernit", "x_url": "https://x.com/elimernit", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6459889a48e1142153c6ec2db6ccf5a91e1c6b72.jpg" }, { "user_id": 692009, "full_name": "Luke Lombardi", "title": "Founder", "founder_bio": "Hardware/Software Engineer - like robotics and ML. Also an experienced prep cook.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/luke-lombardi-2165968b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/42789eb07f7dd98db612cc43055f2e6da48308b3.jpg" } ], "jobs": [ { "id": 81962, "title": "Head of GTM and Growth", "url": "https://www.ycombinator.com/companies/beam/jobs/6rKakUF-head-of-gtm-and-growth", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K - $160K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98387, "title": "Distributed Systems Engineer", "url": "https://www.ycombinator.com/companies/beam/jobs/lwlKfNI-distributed-systems-engineer", "location": "New York, NY, US / San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98388, "title": "Network Engineer", "url": "https://www.ycombinator.com/companies/beam/jobs/ajXD7Ap-network-engineer", "location": "New York, NY, US / San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $180K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98389, "title": "Site Reliability Engineer", "url": "https://www.ycombinator.com/companies/beam/jobs/CnrHNaM-site-reliability-engineer", "location": "New York, NY, US / San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 99577, "title": "Applied AI Research Engineer", "url": "https://www.ycombinator.com/companies/beam/jobs/AQyjV6c-applied-ai-research-engineer", "location": "New York, NY, US / San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Torch/PyTorch", "Reinforcement learning (RL)", "GPU Programming" ] }, { "id": 113699, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/beam/jobs/RZW9Xu8-chief-of-staff", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$90K - $140K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114260, "title": "GPU Cluster Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/beam/jobs/tK37WS7-gpu-cluster-infrastructure-engineer", "location": "New York, NY, US / San Francisco, CA, US / Remote (US)", "type": "Contract", "role": "Engineering", "role_type": "Full stack", "salary_range": "$10.5K - $18K / monthly", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116343, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/beam/jobs/QFlGNxn-product-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $160K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116405, "title": "Head of Compute Operations", "url": "https://www.ycombinator.com/companies/beam/jobs/qwLlBWJ-head-of-compute-operations", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$110K - $150K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117101, "title": "Compute Trader", "url": "https://www.ycombinator.com/companies/beam/jobs/V4JS1as-compute-trader", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K - $150K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Slai makes intelligent choices around machine learning setups for developers – TechCrunch", "url": "https://techcrunch.com/2022/05/10/slai-seed-round/", "date": "May 10, 2022" } ], "launches": [ { "id": 95756, "title": "Beam - Open Source Modal Alternative", "tagline": "Run GPU inference, background jobs, and sandboxes with ultrafast boot times and no vendor lock-in.", "body": "**Hey all!**\n\n**We’re [Eli](https://www.linkedin.com/in/mernit/) and [Luke](https://www.linkedin.com/in/luke-lombardi-2165968b/) – co-founders of [Beam](https://beam.cloud).** \n\n**TL;DR**\n\n[Beam](https://beam.cloud) is an open source alternative to Modal for running AI apps. Coca Cola, Magellan AI, Shippabo, and Stratum use Beam for serverless inference, sandboxes, and background jobs. We're 100% open source and self-hostable.\n\nhttps://www.youtube.com/watch?v=Itu_jCnyfJc\n\n**The Problem**\n\nIf you're building an AI product, you need a fast serverless platform to run your code, whether that's GPU inference, background jobs, or sandboxes for agents. \n\nExisting cloud platforms either lock you in (Modal) or aren't optimized for serverless AI workloads (Lambda, SageMaker, Kubernetes). Various sandbox providers exist (e2b, Daytona) but don’t support a full range of AI compute workloads.\n\n**Our Solution** \n\nBeam is your all-in-one serverless cloud for AI applications. You can run inference endpoints, background jobs, sandboxes, and more – all with a simple decorator in your Python or Typescript code. There’s no YAML and no configuration required. \n\nhttps://youtu.be/UxQ9O8pVVKk\n\nThis is possible thanks to a custom container runtime and distributed storage layer we built to run large container images with low cold start. We provide the security and isolation with gVisor, and build and launch new container images lightning fast.\n\nSome of the features we support include:\n\n* Fast image builds\n* GPU support\n* Memory/file system snapshotting\n* GPU checkpoint restore (stop and resume sandboxes while preserving running processes)\n* File system operations\n* Run long sessions that last over 24h\n* Open source and self-hostable\n\n **The Team**\n\nEli and Luke were college roommates and have been building products together pretty much since then.\n\nBefore starting Beam, Eli and Luke frequently attended hackathons and built a serverless framework to quickly ship web apps onto the cloud. When they started tinkering with AI, they realized that no serverless framework existed to make it easy to deploy AI models on the cloud. They decided to build it.\n\n![uploaded image](/media/?type=post&id=95756&key=user_uploads/313369/0bd4a323-556b-441a-ac00-7c61bf0c69c7)\n\n**Our Ask**\n\n* Try Beam here: [beam.cloud](http://beam.cloud)\n* Star us on Github: https://github.com/beam-cloud/beta9\n\nIf this post resonated with you, we’d love to connect: [founders@beam.cloud](mailto:founders@beam.cloud)", "url": "https://www.ycombinator.com/launches/OuS-beam-open-source-modal-alternative", "votes": 46, "created_at": "2025-11-25T16:15:38.074Z" } ] }, { "id": 25714, "name": "Strong Compute", "slug": "strong-compute", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6d861374205c6a41091e3a76655da787098154b.png", "website": "https://strongcompute.com", "all_locations": "Merritt Island, FL, USA; Sydney, NSW, Australia", "long_description": "Strong Compute is building the future of Cloud Computing, priced by performance not consumption. Our software and hardware optimizations speed up neural network development 10x-1000x, file transfer 1000x, instance start time 10x. We're starting with AI and are aimed at the $500B cloud market.", "one_liner": "10x-1000x faster compute for Neural Network training", "team_size": 8, "industry": "B2B", "subindustry": "B2B", "launched_at": 1646850573, "tags": [ "Machine Learning", "Cloud Computing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "Australia", "America / Canada", "Oceania", "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/strong-compute", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/strong-compute.json", "year_founded": 2021, "city": "Merritt Island", "country": "US", "linkedin_url": "https://www.linkedin.com/company/strongcompute", "x_url": "https://twitter.com/strongcompute", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/strong-compute", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6d861374205c6a41091e3a76655da787098154b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 37323, "full_name": "Ben Sand", "title": "Founder", "founder_bio": "Building the future of Cloud, starting with AI. (Strong Compute, W22)\n\nCo-Founder of Meta, Y Combinator S13.", "is_active": true, "linkedin_url": "https://linkedin.com/in/bensandcastle", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2f273b47679d41254669221fd128238f38df2c2d.jpg" } ], "jobs": [], "news": [ { "title": "Strong Compute raises $7.8M seed round to speed up ML training pipelines – TechCrunch", "url": "https://techcrunch.com/2022/05/30/strong-compute-raises-7-8m-seed-round-to-speed-up-ml-training-pipelines/", "date": "May 30, 2022" }, { "title": "Strong Compute wants to speed up your ML model training – TechCrunch", "url": "https://techcrunch.com/2022/03/09/strong-compute-wants-speed-up-your-ml-model-training/", "date": "Mar 09, 2022" } ], "launches": [] }, { "id": 25871, "name": "Brainboard", "slug": "brainboard", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1940cbdacec83b1df06f778aab51ef87295bad3.png", "website": "https://www.brainboard.co", "all_locations": "New York City, NY, USA; Paris, Île-de-France, France; Remote", "long_description": "Brainboard is a collaborative and end-to-end solution for engineers to visually design & manage their Cloud infrastructures.\r\nWe allow companies to lower the learning curve while moving to IaC, build a self serve model, have a service catalog to not reinvent the wheel.\r\n\r\nBoth technical profiles with 25+ years of combined expertise and after working together at a major French Cloud provider, Chafik and Jeremy launched Brainboard in 2020.", "one_liner": "Visually design and manage cloud infrastructures.", "team_size": 9, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1645991861, "tags": [ "Developer Tools", "DevOps", "Cloud Computing", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "France", "America / Canada", "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/brainboard", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/brainboard.json", "year_founded": 2020, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/brainboard-co", "x_url": "https://twitter.com/brainboard_co", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/brainboard", "github_url": "https://github.com/brainboard", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1940cbdacec83b1df06f778aab51ef87295bad3.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": 858189, "full_name": "Chafik Belhaoues", "title": "Founder", "founder_bio": "- Engineer with 17 years of experience on infrastructures (SRE, cloud architect, then software developer)\n- Former CTO of Scaleway (french cloud provider)\n- CEO at Brainboard.co", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chafik-belhaoues-%E2%98%81-4145b320/", "x_url": "https://twitter.com/ChafikBelhaoues", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/da747ede5d673ae5a5f0d9fc0c7db1c435dd2634.jpg" }, { "user_id": 848539, "full_name": "Jeremy Albinet", "title": "Founder", "founder_bio": "- 10 years designing Cloud architectures and building infrastructures\n- co-founder of Brainboard\n- former SRE @Scaleway", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jeremy-albinet/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0c9f80e3928db234f29e441262a0149df1f3ca22.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 25949, "name": "Jamsocket", "slug": "jamsocket", "former_names": [ "Drifting in Space" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/49c1f43f10b8f99493ac3006583172298d236974.png", "website": "https://jamsocket.com", "all_locations": "New York City, NY, USA", "long_description": "We are a platform for high-performance browser-based applications. We make it easier for developers to deploy apps that give every user a dedicated backend.\r\n\r\nThis is a system design that apps like Figma and GitHub codespaces use, but it's currently difficult for others to replicate it. We make it as easy as deploying a traditional web server.", "one_liner": "Run compute-intensive apps in a browser", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1643314979, "tags": [ "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "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/jamsocket", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/jamsocket.json", "year_founded": 2021, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/jamsocket", "x_url": "https://twitter.com/drifting_corp", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/jamsocket", "github_url": "https://github.com/drifting-in-space", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/49c1f43f10b8f99493ac3006583172298d236974.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": 590, "full_name": "Paul Butler", "title": "Founder", "founder_bio": "I'm a technical founder building Drifting in Space. My career has straddled the line between engineering and data science, with stints at Google as a software engineer on search, Two Sigma as a quantitative analyst, and botnet detection at an adtech startup.\n\nI'm originally from Halifax, Canada, currently based in Brooklyn, and love running, sailing, and exploring new cities.", "is_active": true, "linkedin_url": "https://linkedin.com/in/paulgb", "x_url": "https://twitter.com/paulgb", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0910b52e010a859500633ec3d44aab4d9bca669e.jpg" }, { "user_id": 948568, "full_name": "Taylor Baldwin", "title": "Founder", "founder_bio": "Co-founder of Drifting in Space. Was previously a software engineer at Uber and Datadog building WebGL-based data viz applications in the browser. Before becoming a software engineer, I was a classical musician with bachelor and master degrees in piano performance and pedagogy.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/taylor-baldwin-642b4818/", "x_url": "https://twitter.com/taylorbaldwin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/71bc9fbdbf148b1768bd0c795a2dae12116ff8a6.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 26666, "name": "Airtrain AI", "slug": "airtrain-ai", "former_names": [ "Sematic AI", "Sematic" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/75317513ffcf6008b389c1e9fada5072394a8511.png", "website": "https://airtrain.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Airtrain AI is a no-code data platform for Large Language Models.\r\n\r\nProprietary AI models such as GPT-4 are very powerful but also very costly, slow, unreliable, and unsecured.\r\n\r\nAs businesses look to scale their AI prototypes into production-grade products, they struggle with large AI bills, slow APIs and large failure rates.\r\nOn the other hand, smaller language models have been proven to be able to perform on-part with large ones with fine-tuned on high-quality datasets.\r\n\r\nAirtrain AI lets AI practitioners explore alternatives to proprietary models, build up training datasets, evaluate, fine-tune, and serve a large selection of open-source LLMs.", "one_liner": "No-code data curation for LLM fine-tuning and evaluation.", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1657048120, "tags": [ "AIOps", "Developer Tools", "SaaS", "Cloud Computing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Inactive", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/airtrain-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/airtrain-ai.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/airtrain-ai/", "x_url": "https://twitter.com/AirtrainAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/sematic-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/75317513ffcf6008b389c1e9fada5072394a8511.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": 1014902, "full_name": "Emmanuel Turlay", "title": "Founder", "founder_bio": "Hi, I am Emmanuel.\n\nI spent my foundational years in academia (particle physics research at CERN) then branched out into tech. I built the order and payment infrastructure at Instacart, and lead ML platform at Cruise.\n\nI am the CEO and co-founder of Sematic (S22).\n\nReach out and say hello.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/emmanuelturlay/", "x_url": "https://twitter.com/neutralino1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/69cdd805022f44e70ed65f68b182f02ab503f7ab.jpg" } ], "jobs": [], "news": [ { "title": "Sematic Blog – Sematic Raises $3M to Build an Open-Source Continuous Machine Learning Platform", "url": "https://www.sematic.dev/blog/sematic-raises-3m-to-build-an-open-source-continuous-machine-learning-platform", "date": "Nov 17, 2022" } ], "launches": [ { "id": 64701, "title": "Sematic – Prototype-to-production ML in days not weeks", "tagline": "Build and productionize arbitrary end-to-end ML/DS pipelines with only Python in a few hours.", "body": "**TL;DR –** [**Sematic**](https://sematic.dev) **is an** [**open-source**](https://github.com/sematic-ai/sematic) **framework to build and run arbitrary end-to-end ML/DS pipelines developed by two ex-Cruisers.**\n\nWhen COVID hit and restaurant parklets popped up around San Francisco, the Cruise robotaxis needed to update their ML models in a matter of days.\n\nThis fast turnaround in data processing > model training > evaluation > simulation > metrics generation > deployment was enabled by talented ML Engineers using **state-of-the-art pipelining tools**.\n\n## Your problem\n\nIf you are an **ML/DS developer** 🧑‍💻, you likely spend a lot of time battling obscure infrastructure instead of leveraging your core competency: extracting insights and predictions from data.\n\nIf you are a **business leader** 🧑‍💼, you likely want more models to grow and optimize your business; and retrain them frequently to adapt to ever-changing world conditions (hello COVID!).\n\nExisting solutions (e.g. Kubeflow, Argo, Airflow, Prefect) are still too low-level and not usable by ML/DS developers.\n\nTools such as Ruby on Rails and Heroku enabled generations of web developers to build prototypes into unicorns. **Where is that experience for ML/DS development?**\n\n## Our solution\n\n[Sematic Beta Launch Demo](https://www.youtube.com/watch?v=G0Hj0T-bbiY)\n\n[Sematic](https://sematic.dev/) is **a lightweight** [**open-source**](https://github.com/sematic-ai/sematic) **ML/DS pipeline development and execution framework based on learnings from working at Cruise**.\n\nWith easy-as-pie onboarding, simply **use native Python** to develop and run arbitrary end-to-end pipelines that track and version all your assets and artifacts (models, datasets, plots, metrics, etc.), and visualize them in a slick UI.\n\nRun locally or **leverage your cloud resources** (GPUs!!) seamlessly without infrastructure work.\n\n**Collaborate with your team** in Sematic to keep the conversation close to the data context.\n\n**Sematic aims to facilitate the journey from Notebook prototypes to automated production-grade pipelines.**\n\n## Our ask\n\n⭐ [Star our Github repo](https://github.com/sematic-ai/sematic)\n\nTry us out:\n\n```\n$ pip install sematic\n$ sematic start\n```\n\nJoin our [Discord](https://discord.gg/4KZJ6kYVax) **and give us your feedback to make the product more useful to you and your company**.\n\n## Early Bird offer\n\nWe offer a white-glove onboarding service and dedicated support to build out your end-to-end pipelines.\n\n[Try us out](https://sematic.dev/), reach out on [Discord](https://discord.gg/4KZJ6kYVax), or email us at [emmanuel@sematic.dev](mailto:emmanuel@sematic.dev).", "url": "https://www.ycombinator.com/launches/GpZ-sematic-prototype-to-production-ml-in-days-not-weeks", "votes": 27, "created_at": "2022-07-18T17:06:21.384Z" } ] }, { "id": 26898, "name": "Diversion", "slug": "diversion", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3cca9dfc5d45583f86876ecd0b8110e7412ab6cd.png", "website": "https://diversion.dev", "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel", "long_description": "Diversion is a modern alternative to Perforce and Git, designed for digital entertainment industries like games, virtual production, animation, and 3D/VR. It streamlines collaboration by providing GitHub-like version control for large files and complex projects, integrating seamlessly with tools like Unreal Engine. Built for studios handling massive assets, Diversion ensures efficient workflows, secure storage, and effortless tracking of project history, making it the go-to platform for creative teams managing evolving digital content.", "one_liner": "A scalable, cloud-native Perforce and Git alternative", "team_size": 14, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1660930915, "tags": [ "SaaS", "Virtual Reality", "Enterprise", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Israel", "Middle East and North Africa" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/diversion", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/diversion.json", "year_founded": 2021, "city": "Tel Aviv-Yafo", "country": "IL", "linkedin_url": "https://www.linkedin.com/company/79021186", "x_url": "https://twitter.com/diversion_hq", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/diversion-company", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3cca9dfc5d45583f86876ecd0b8110e7412ab6cd.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": 1014744, "full_name": "Sasha Medvedovsky", "title": "Founder", "founder_bio": "A software engineer, engineering manager and product manager with 20+ years of experience.\nServed as an officer in an elite Israeli cyber-intelligence unit (8200).\nCo-founded Leprechaun (bootstrapped to high profitability, sold in 2012) and Adience (sold in 2015).\nMSc. in Computer Science and MBA from Tel Aviv University, cum laude.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sasha-medvedovsky-10b2381/", "x_url": "https://twitter.com/sasham1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/51a46a1920ae902653505277a00f01f4b0dd7418.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 27810, "name": "Cakework", "slug": "cakework", "former_names": [ "Sahale" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4dbd8d6bcbc396c907943226c3f01d2cbcd5809.png", "website": "https://www.cakework.com", "all_locations": "Seattle, WA, USA", "long_description": "We make it possible to build a serverless cloud platform that hosts custom user code with just APIs and no infrastructure team. For example, an open source framework can build a cloud offering that deploys their users code from Github or local dev environments in days instead of months. ", "one_liner": "API that adds cloud hosting to any developer platform", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1673854005, "tags": [ "Developer Tools", "B2B", "Cloud Computing", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Inactive", "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/cakework", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/cakework.json", "year_founded": 2022, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/usecakework", "x_url": "https://twitter.com/usecakework", "fb_url": null, "cb_url": null, "github_url": "https://github.com/usecakework", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4dbd8d6bcbc396c907943226c3f01d2cbcd5809.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": 461027, "full_name": "Eric Chen", "title": "Founder", "founder_bio": "working on www.cakework.com!", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/ericchen90/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ab6f8addc07bcec89848ca31970e5441e18517e4.jpg" }, { "user_id": 1098594, "full_name": "Jessie Young", "title": "Founder", "founder_bio": "CEO of Cakework", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/jyoung73/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bacd8dfbf932dba178be48e147deb56a5188e65c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 70142, "title": "Cakework - Custom user code in any developer product", "tagline": "Build your own serverless platform in days instead of months", "body": "**tldr**\n\n_We make it easy to run custom user code using APIs instead of infrastructure. Build extensibility directly into your developer product, or launch your own serverless cloud solution._\n\nHi friends, we're Jessie and Eric from [Cakework](https://www.cakework.com). We're ex-AWS engineers that got tired of managing infra and wanted our tools to do it for us. We started Cakework to bake serverless into every developer product and never have to host our own code again.\n\n![uploaded image](/media/?type=post&id=70142&key=user_uploads/461027/608b19e2-7cf0-4402-8173-aa280ba89b58)\n\n[Jessie](https://www.linkedin.com/in/jyoung73/) - Senior Engineer that led development of AWS call center AI analytics and NLP services.\n\n[Eric](https://www.linkedin.com/in/ericchen90/) - Engineering Manager that led a team of engineers, scientists, and clinicians in building AWS services for healthcare.\n\n**Problem**\n\nModern developer experiences let users run custom code natively, so users can build extensions and applications without any devops. This can be anything from in-browser scripting to webhook handlers or web services that deploy from Github.\n\nBuilding a platform to do this is hard because cloud services like AWS are designed by default to run your code, not your users'. You need to package your users code, handling dependencies and multiple languages. You need to provide logging, metrics, and metering. Serverless options like Lambda help with security and cost, but have restrictions on timeout and prevent you from using protocols like gRPC.\n\nYou’re basically building your own Heroku.\n\nOne of our early customers had given up on building their own serverless cloud solution. With us, they were able to launch in a week.\n\n**How did we do it?**\n\nCakework is a set of simple APIs for building serverless directly into your developer product. You describe how you want to package and run your users' code, and use Cakework to build images from Github, CLI, or even a browser. You use our APIs to run that code securely, and show logs and metrics back to your users.\n\nHere's a gif of Cakework in action with a developer SaaS tool that wanted their users to be able to run custom code on webhooks in their system.\n\n![uploaded image](/media/?type=post&id=70142&key=user_uploads/461027/72dd917a-6381-4859-8341-6d278385f1d0)\n\nYou can build your own in-browser scripting with multiple languages!\n\n![uploaded image](/media/?type=post&id=70142&key=user_uploads/461027/7a15ec40-7de5-4641-8a73-87b612c1ba7c)\n\n**Asks**\n\nWe're onboarding customers in early access now. If you or someone you know is working on a developer product and want to run your user's code, reach out at [eric@cakework.com](mailto:eric@cakework.com)!", "url": "https://www.ycombinator.com/launches/IFK-cakework-custom-user-code-in-any-developer-product", "votes": 57, "created_at": "2023-03-10T17:19:23.787Z" } ] }, { "id": 27813, "name": "Omnistrate", "slug": "omnistrate", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/428feb2a5e495458be88abd1793ebca289d4798b.png", "website": "http://www.omnistrate.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Omnistrate helps software companies to build their own private-label control plane to deliver your product as vendor-hosted SaaS, inside customer cloud accounts/VPCs/Kubernetes clusters, on-premises, in air-gapped environments, and through cloud marketplaces.", "one_liner": "Build your control plane to deploy your product in your customer VPC…", "team_size": 25, "industry": "B2B", "subindustry": "B2B", "launched_at": 1677779443, "tags": [ "Developer Tools", "B2B", "Cloud Computing", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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/omnistrate", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/omnistrate.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/omnistrate/", "x_url": "https://twitter.com/omnistrate", "fb_url": "https://www.facebook.com/omnistrate", "cb_url": "https://www.crunchbase.com/organization/omnistrate", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/428feb2a5e495458be88abd1793ebca289d4798b.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": 1159729, "full_name": "Kamal Gupta", "title": "Founder", "founder_bio": "Kamal is a Co-Founder & CEO of Omnistrate. He is a repeat founder with an entrepreneurial spirit. Kamal led the engineering for Kafka at Confluent across all channels. During his time, Kafka Cloud revenue grew by 20x. Before that, he led the database engineering for AWS Aurora MySQL, a BB+ dollar business managing MM+ of database nodes. During his period at AWS (2007-2020), he built more than half-a-dozen cloud services at AWS across different domains & providers\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kkgupta2/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2bdbc295d004c505d91a3663ec8ab3dc6870254d.jpg" }, { "user_id": 1157545, "full_name": "Alok Nikhil", "title": "Founder", "founder_bio": "Alok comes with deep technical expertise in Serverless, Networking, Performance on the Cloud. He was the original technical author of Aurora Serverless, which revolutionized the data systems space. Within the first year of its introduction, ~50% of hundreds of thousands of Aurora DBs created were on Aurora Serverless. He also scaled networking (packets-per-second) on AWS by 10-15x during his tenure at Cisco, scaled Confluent Cloud by 5x from 4GBps to 20GBps, and Kafka Cloud latencies by 10x.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nikhilalok/", "x_url": "https://twitter.com/aloknnikhil", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/933eb8ed887865783271f7d6a4ceef25eccf1973.jpg" } ], "jobs": [ { "id": 79259, "title": "Platform Engineer [US]", "url": "https://www.ycombinator.com/companies/omnistrate/jobs/L0WAiFF-platform-engineer-us", "location": "US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$100K - $140K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Go", "Kubernetes", "Distributed Systems" ] }, { "id": 97793, "title": "Founding AE Role", "url": "https://www.ycombinator.com/companies/omnistrate/jobs/yeQMikj-founding-ae-role", "location": "US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K - $160K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97794, "title": "SDR role [India only]", "url": "https://www.ycombinator.com/companies/omnistrate/jobs/T2nsaRb-sdr-role-india-only", "location": "Remote", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$1", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 122341, "title": "Deploy your product in your customer VPC or Single-tenant SaaS or AirGapped", "tagline": "BYOC, BYO-K8s, BYO-VPC, Single-tenant SaaS, Dedicated SaaS, Hosted SaaS", "body": "Omnistrate helps software companies to build their own private-label control plane to deliver your product inside customer cloud accounts/VPCs/Kubernetes clusters, on-premises, air-gapped environments, single-tenant SaaS and through cloud marketplaces.\n\n**A simple way to think about it:** when an enterprise customer asks, “Can this run in our AWS account?”, or “Can we self-host this?”, or “Do you have a isolated SaaS with XYZ requirements”, “Can we buy this through our cloud marketplace?”, Omnistrate generated control plane enables you say **yes** without turning every customer into a custom engineering project.\n\n### **Why we built Omnistrate:**\n\nWe experienced firsthand how difficult it is to deploy and operate software across customer environments. Every enterprise deployment became a custom engineering project, slowing down sales, consuming engineering resources, and creating ongoing operational complexity.\n\nWe built Omnistrate to change that — enabling software companies to deploy, manage, and scale their products in any customer environment without building and maintaining their own control plane.\n\n### **Three common use cases**\n\n**1. Support BYOC, self-hosted, on-prem, and air-gapped customers**\n\nEnterprise customers increasingly want software to run inside infrastructure they control due to data sovereignty or leveraging their cloud commits.\n\nWith Omnistrate you can support:\n\n* **Customer cloud accounts:** Deploy the complete stack into your customer's AWS, GCP, Azure, or other cloud account — including networking, Kubernetes, compute, storage, and your application.\n* **Customer VPCs:** Run inside an existing customer network with private connectivity and customer-controlled security.\n* **Customer Kubernetes:** Deploy and operate your software on Kubernetes infrastructure the customer already manages.\n* **On-prem and air-gapped:** Support environments with limited or no connectivity to your SaaS control plane.\n\nYou can operate these deployments as a managed service or enable customers to self-serve through your private-label portal. To learn more, see this blog: \n\n**2. Build and distribute your Single-tenant SaaS (or Hosted SaaS)**\n\nUse the same control plane to run your single-tenant SaaS across clouds, regions, tenancy models, and infrastructure configurations.\n\nStart with hosted SaaS to support simple dedicated deployments, add dedicated K8s, dedicated network, dedicated account, or multi-tenant your customers over the shared infrastructure.\n\nThis is particularly useful when your first few customers have very different requirements but you don't want to maintain separate platforms for every deployment configuration. Also - allows you to enable free trial cost-effectively or figure out the right distribution model as you unlock your GTM. To learn more, please see this blog: \n\n**3. Sell through AWS, Azure, and Google Cloud Marketplaces**\n\nLaunch and transact through the major cloud marketplaces without building separate fulfillment and billing integrations for each provider.\n\nOmnistrate helps with the end-to-end motion including marketplace enablement, fulfillment, subscriptions, metering, billing, and integration with your product. We also work with you on the listing (we partner with Suger, another YC company) and cloud co-sell motion.\n\nTo learn more, please see this blog: \n\n### **What Omnistrate handles**\n\nYour generated control plane can automate:\n\n* Infrastructure provisioning and configuration\n* Application deployment, scaling, and upgrades\n* Customer self-service deployments\n* Tenant and subscription management\n* Observability and health monitoring\n* Backups, recovery, drift detection, and Day-2 operations\n* Security, governance, RBAC, and auditability\n* Metering, billing, licensing, and entitlements\n* Cloud Marketplace fulfillment\n* Fleet-wide operations across customer environments\n* and more: [**https://docs.omnistrate.com/**](https://docs.omnistrate.com/)\n\n### **How does it work?**\n\nBring what you already have — container images, Docker Compose, Helm charts, Kustomize manifests, Kubernetes Operators, Terraform/IaC, or your existing deployment artifacts.\n\nDefine how your product should be deployed and operated in Claude (or your favorite codex), and we will translate that into a declarative spec and then use that to generate your **private-label control plane running in your account**.\n\nThat control plane manages the infrastructure and application lifecycle across your different customer environments.\n\nFor customer-hosted deployments, your customer's workloads and data stay in their environment. Your customers interact with your product and brand — not Omnistrate.\n\nAlready have a control plane or customer portal? You don't have to replace it. Omnistrate can extend what you already built to support additional clouds, BYOC, Kubernetes, on-prem, air-gapped environments, and operational capabilities.\n\n### **Our ASK:**\n\nIf you are looking to build one or would like to discuss more on the topic, we would love to chat more. Here is our calendly: \n\nIf you would like to interested to learn more about Agent deployments, check out: ", "url": "https://www.ycombinator.com/launches/VpF-deploy-your-product-in-your-customer-vpc-or-single-tenant-saas-or-airgapped", "votes": 6, "created_at": "2026-10-15T15:50:12.811Z" }, { "id": 91525, "title": "Omnistrate: CoPilot for Platform teams to go from app to product in days, not years", "tagline": "Build software distribution aka Control Plane", "body": "Going from (Agentic) App to Product, organizations have to build multiple distribution engines. The Control Plane is nothing but an **operating system for those distribution models**.\n\nOmnistrate is a developer platform to build software distribution aka Control Plane — the \"operating system\" that powers deployment models like On-Prem / AirGapped, BYOC, PaaS, SaaS, AaaS distributions.\n\nWe achieve this by building and running your Control Plane in your account, so that you don't have to spend years to build and army to operate on undifferentiated things.\n\n![uploaded image](/media/?type=post&id=91525&key=user_uploads/1159729/a13a9237-8faa-4f5d-b232-b8fecb82ce62)\n\n### **What will your Control Plane do?**\n\n* OnPrem Installs: Packaging, versioning, deployment templatization, seamless upgrade paths, collecting basic troubleshooting data (logs/metrics), and enforcing licensing to prevent unauthorized use. Its effectively similar to building your terraform scripts for infrastructure, L5 K8s operator on top, writing the deployment script to stitch everything together.\n* BYOC CoPilot: If you want to extend OnPrem model by automating deployments within the customer’s cloud account — across any cloud or region. You have to automate deployments, build the ability to deploy in customers’ account, support Offline mode for security conscious customers\n* PaaS: If you want to extend OnPrem and BYOC to offer self-serve deployments (aka PLG motion) including tenant management, usage-based billing and, automated operations at massive scale — reliably, securely, and cost-effectively\n* SaaS: for companies looking to provide seamless experience by just giving an endpoint that just works. The endpoint is smart enough to handle a broad range of use cases and automatically adjust based on usage to optimize for the cost, scale, performance without compromising on the security or reliability\n* AaaS: If you are looking to build next-gen experience where each customer gets a **personalized experience** based on their organization, workloads, and data or distribute your agents\n\nTo learn more more about different distribution models, see this blog: https://blog.omnistrate.com/posts/152\n\nTo learn more on how we are different than CI/CD, IaC, or PaaS systems: https://omnistrate.com/control-plane-demystified\n\n### **Why we built Omnistrate:**\n\nGiven the complexities of Control Plane, most DIY control planes become fragile, siloed, and a blocker to innovation. Hence, we have built Omnistrate to build your control plane running in your account, so that you don't have to spend years to build and army to operate on undifferentiated things.\n\n### **How does it work:**\n\n![uploaded image](/media/?type=post&id=91525&key=user_uploads/1159729/b3f750a5-13d3-4db1-bded-a6dcc79a186f)\n\nWe take your container images and your cloud account id to run your control plane. From there you can provide the control plane specification using docker compose (we have added extensions) or use our native DSL (domain specific language) to describe your control plane.\n\nWhat if you already started? - No problem. You can start at any point in the journey very easily. We integrate with your existing control plane stack irrespective of your current state. You can keep control of the pieces you like, leave the rest on us and have the peace of freedom to expand into new areas with ease at one-tenth the cost. Examples:\n\n* We can import your Terraform (used for infrastructure management)\n* We can import your Helm, Kustomize, Operator (used for packaging, templatization,\n* We can take your existing automation for deployments to extend you across clouds or regions, build beautiful SaaS and AaaS experiences.\n* and much more..\n\nTo learn more, see our technical blogs:\n\n* https://blog.omnistrate.com/posts/151\n* https://blog.omnistrate.com/posts/150\n* https://blog.omnistrate.com/posts/149\n\nQuick Product Intro videos:\n\n* BYOC CoPilot: https://youtu.be/3D08uFN6ugc\n* PaaS: https://youtu.be/4vDdVf9x_nU, [https://youtu.be/\\_S0UXJh516M](https://youtu.be/_S0UXJh516M%EF%BF%BC-), https://youtu.be/8gUrqrMcjdM\n* For OnPrem, SaaS and AaaS demo, reach out to <[support@omnistrate.com](mailto:support@omnistrate.com)>\n\n### **Use-cases:**\n\n* Build OnPrem Installer, BYOC, PaaS, SaaS or AaaS Products as mentioned above.\n* BYOC CoPilot for your support teams to streamline deployments to accelerate customer onboarding, manage upgrades/versioning to keep track of your customers in an automated way, streamline operations to reduce MTTR and bring consistency in handling the issues. We also support offline mode for security conscious customers to only connect during operational time otherwise they can stay completely disconnected\n* Multi-cloud & BYOC expansion for teams with existing control planes to extend it across clouds — deploy globally and support any deployment model, including BYOC, to run seamlessly in your customers’ accounts\n* Open-source Project to Open-core: Monetize your open-source project without compromising your community-driven values by offering value-added services like streamlined deployments across any cloud/region in your own account or deploy in customers’ accounts, automated operations, seamless infrastructure management\n* Internal PaaS to save cost by using your cloud credits, streamlining deployments and operations, infra management\n\n### **Our ASK:**\n\nIf you are looking to build one or have any questions or would like to discuss more on the topic, we would love to chat more. Here is our calendly: https://calendly.com/omnistrate\n\nIf you would like to stay connected, follow us here: https://www.linkedin.com/company/omnistrate/ or join our community group: http://saasmondays.com/", "url": "https://www.ycombinator.com/launches/NoD-omnistrate-copilot-for-platform-teams-to-go-from-app-to-product-in-days-not-years", "votes": 17, "created_at": "2025-06-22T18:13:13.639Z" }, { "id": 70134, "title": "Omnistrate - Cloud platform to SaaSify your open-source project 🚀", "tagline": "From your docker image to your multi-cloud SaaS in 1 minute", "body": "![uploaded image](/media/?type=post&id=70134&key=user_uploads/1159729/250b8d8a-7e84-40d5-80c6-deb4f4645c83)\n\n### **✨ TL;DR**\n\nOmnistrate is a control-plane as-a-service that **transforms your docker image into a multi-cloud SaaS service**. Let’s say you have an open-source software (e.g. MongoDB), and you want to monetize your invention by building a multi-cloud SaaS solution (e.g. MongoDB Atlas), you can either spend years doing it yourself, or use Omnistrate to do it in no time.\n\nHello everyone - it’s Kamal and Alok here introducing [Omnistrate](https://www.omnistrate.com)!\n\n### **🤯 Problem**\n\n* Going from Software to SaaS can **take months or even years**. Moreover, it can take several attempts for enterprises to find their product-market fit making it **extremely costly** to experiment.\n* Cloud is **complicated** with so many different services, cloud providers, and a rapidly evolving landscape.\n* Building a SaaS service from scratch to do undifferentiated heavy-lifting **distracts** enterprise from the core innovation and adds significant **risk** to their business.\n\n### **💡 Solution**\n\n* Omnistrate makes it **simple, quick** and **cost-effective**, saving years of development time and resources. And we do this, for every cloud provider across the globe out of the box.\n* Omnistrate abstracts away all the cloud complexities and make it **super** **easy** to build cloud-native services.\n* In a fast moving world, enterprises need a platform that allows them to **successfully experiment**, without shifting their focus or taking a massive business risk.\n\n### **📜 Our Story**\n\nI was part of the AWS founding team, and built **more than half-a-dozen cloud services** over the years (2007-2020) across different domains. During my early days at AWS, I was one of the **original authors of AWS control plane** that was used to host open-source technologies by numerous AWS services.\n\nAlok and I met at AWS Aurora when I was running the database engineering for a **billion dollar SaaS business**, managing millions of databases. Alok was the original technical author of Aurora Serverless, which revolutionized the data systems space. He then went to Cisco to scale networking pipeline (packets-per-second) on AWS by 10-15x.\n\nWe reunited again at Confluent in 2020 where I ran the Kafka engineering at Confluent and grew their multi-cloud Kafka offering to **200MM+ ARR business managing over 100,000 containers**. Alok played a key role there in scaling Kafka Cloud throughput by 5x, and reducing Kafka Cloud latencies by 10x to really distinguish Confluent Kafka offering from other vendors.\n\nWith Omnistrate, we want to **share our learnings into a fully automated platform** by getting rid of the undifferentiated work and making it simple for anyone to build a SaaS service.\n\n### **⚒️ How it works**\n\n![uploaded image](/media/?type=post&id=70134&key=user_uploads/1159729/57ff5a13-a71a-4853-8370-f46493442817)\n\nYou start by simply bringing your docker image. Omnistrate, from then on, will seamlessly build your SaaS and runs it on auto-pilot. At every step of the process, you retain full control, the ability to innovate on your product and the ability to integrate with your favorite tools or services.\n\n### **🫶 Ask**\n\nIf you are **looking to SaaSify your open-source (or any other software)**, please sign-up [here](https://omnistrate.com/demo) and we will create an account for you to provide a white glove experience. We will then come on a quick call to get you up and running in a few minutes.\n\nIf you know someone who could benefit, please reach out to us at: [founders@omnistrate.com](mailto:founders@omnistrate.com)\n\nIf you are excited about the SaaS space, please join our [Slack](https://join.slack.com/t/cloudnative-u5h1399/shared_invite/zt-1qf3cgi37-lCV1vKJlrBioqGuVjKBtyw) community\n\n### **⭐️ Our YC deal:**\n\nPlease see this: \n\nFor any questions on the deal, please reach out to us at [yc@omnistrate.com](https://mailto:yc@omnistrate.com)\n\nThank you! Omnistrate Team ✌️\n\nCEO, Kamal Gupta", "url": "https://www.ycombinator.com/launches/IFC-omnistrate-cloud-platform-to-saasify-your-open-source-project", "votes": 560, "created_at": "2023-03-10T14:58:53.557Z" } ] }, { "id": 27971, "name": "Arroyo", "slug": "arroyo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a7f1c3e5b076e80781490318e3dfe43f0db3a2b.png", "website": "https://www.arroyo.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Arroyo is a serverless stream processing platform built on top of the open-source Arroyo streaming engine. We allow companies to transform, filter, aggregate, and join their Kafka streams in real-time just by writing SQL. We charge purely based on usage, with no fixed costs or clusters to manage.\r\n\r\nIn 2025, Arroyo was acquired by Cloudflare and now powers Cloudflare Pipelines", "one_liner": "Cloud-native stream processing", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1674589009, "tags": [ "Developer Tools", "SaaS", "Open Source", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/arroyo", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/arroyo.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://twitter.com/ArroyoSystems", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a7f1c3e5b076e80781490318e3dfe43f0db3a2b.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": 61370, "full_name": "Micah Wylde", "title": "Founder", "founder_bio": "Micah was previously tech lead for streaming compute at Splunk and Lyft, where he built real-time data infra powering Lyft's dynamic pricing, ETA, and safety features. He spends his time rock climbing, playing music, and bringing real-time data to companies that can't hire a streaming infra team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/wylde/", "x_url": "https://twitter.com/mwylde", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4045d99fbf85dd9b5551c8d3ce5084cfd118be76.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 69175, "title": "Arroyo - Serverless stream processing", "tagline": "Build real-time data pipelines in SQL without a real-time platform team", "body": "Hey everyone, we’re Micah and Jackson, and we’re building Arroyo. Arroyo is the easiest way to build powerful streaming ⚡️ data pipelines. Just connect your Kafka, then you can filter, aggregate, window, and join your event data in real time with sub-second results. We fully manage the infrastructure, autoscale with your data, and charge based on usage with no fixed costs.\n\n![uploaded image](/media/?type=post&id=69175&key=user_uploads/61370/f468f5b0-8088-4982-abd8-a45e143f02a8)\n\n## **💥 The problem: real-time data processing is too hard.**\n\nMany companies have adopted Kafka to collect and route their event data. But if they want to actually _do_ anything complex with that data, their options today are to use a complex solution like Flink or dump it in a data warehouse for batch processing.\n\n## **⚡️ The solution**\n\nAfter leading streaming teams at Lyft and Splunk, we’ve seen how critical real-time data can be. At Lyft this infrastructure was vital to the operation of the product, powering features like dynamic pricing, ETAs, safety, and fraud. We’re working to bring it to everyone by solving the hard infrastructure and UX problems of existing solutions.\n\nIt’s three steps to get started writing real-time queries:\n\n1. Tell us how to connect and authenticate against your Kafka cluster\n2. Configure the source and sink topics\n3. Write SQL\n\nFrom there, our system will compile your query into an efficient dataflow program that responds to events within milliseconds and pushes results to Kafka. We charge purely on usage (based on data in, query complexity, and window sizes) with no minimums. Our system automatically scales with your data volume, and there’s no need to manage clusters or provision fixed infrastructure.\n\n![uploaded image](/media/?type=post&id=69175&key=user_uploads/61370/8789103e-9032-4cf3-bc1e-3f9bcf03a026)\n\n## **What can you use this for?**\n\n* Compute real-time ML features\n* Detect fraud and abuse as it happens\n* Turn your daily analytics jobs into real-time queries\n* Filter/redact/aggregate your logs before indexing, or turn them into metrics\n* Reduce costs in your data warehouse by pre-aggregating before ingestion\n\n## **The backstory**\n\nMicah spent four years at Lyft and Splunk building streaming platforms on top of Apache Flink and Kubernetes. Teams shipped impactful features backed by that infrastructure, but it still wasn’t easy enough for non-experts to adopt. Users wanted the same UX they had for batch: just write SQL, don’t worry about operations, scale, or the nuances of the infra. But the underlying tech wasn’t good enough.\n\nWe started Arroyo because we believe this goal is now achievable, but it requires looking beyond existing technology like Flink. That’s why we’re building a new, cloud-native stream processing engine in Rust. We’ve designed it from the ground up for near-instant rescaling and recovery even with very large windows (something that can take hours with Flink!) by separating storage and compute. And by leveraging WASM for user-defined functions, we can run user code efficiently and securely.\n\n## **Get in touch!**\n\nIf you use a stream processing system like Flink or Spark Streaming, or would like to make use of your event data in Kafka, we’d love to talk! We’re excited help you solve your real-time data problems or turn an existing batch workflow into a streaming pipeline. Reach us at [founders@arroyo.systems](mailto:founders@arroyo.systems).", "url": "https://www.ycombinator.com/launches/Hzj-arroyo-serverless-stream-processing", "votes": 29, "created_at": "2023-02-09T20:11:44.194Z" } ] }, { "id": 28812, "name": "Cedana", "slug": "cedana", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/765d8a1a78a1c5939f354a26be87d3c1c1696290.png", "website": "https://cedana.ai", "all_locations": "New York City, NY, USA; Remote", "long_description": "Cedana (YC S23) brings hyperscaler and frontier-lab orchestration capabilities for AI workflows. Our core capability is live migration for CPUs and GPUs workloads. This increases cost savings up to 80%, accelerates time to first token 2-10x, and enables stateful reliability of training jobs even through catastrophic GPU failures. We've integrated our solution into K8s, and support Kueue and Slurm for training distributed jobs, and Kserve for serving inference.   \r\n\r\nOpenAI, Meta and Microsoft have flavors of these capabilities internally and we’re bringing them to everyone. \r\n\r\nOur vision is to transform cloud compute into a real-time, arbitraged commodity. \r\n\r\nhttps://www.cedana.ai", "one_liner": "Fast, reliable, reproducible AI with GPU live migration", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1689189501, "tags": [ "Deep Learning", "Developer Tools", "Cloud Computing", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cedana", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cedana.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cedanacorp/", "x_url": "https://twitter.com/cedana_ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/cedana", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/765d8a1a78a1c5939f354a26be87d3c1c1696290.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 77597, "full_name": "Neel Master", "title": "Founder", "founder_bio": "CEO of Cedana. Previously CEO/co-founder of Engooden, AI-powered chronic disease management proven to improves outcomes and lower costs for patients (Series B). VP of Corp Development for Petra Systems (predictive smart grid/solar company) scaled from $0-$70M ARR. At TL Ventures ($1.6B VC fund) investing across semi, software and systems. Built a system for large-scale, automated ML and computer vision at MIT CSAIL. Patents and publications in AI, computer vision.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/neelmaster1", "x_url": "https://twitter.com/neelmaster", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d563c8b75caf8e9bc463baf0be90836b8802c73f.jpg" }, { "user_id": 297703, "full_name": "Niranjan Ravichandra", "title": "Founder", "founder_bio": "Co-founder/CTO at Cedana. Previously Robotics at Shopify. Previously previously Mech/Aero, published in control systems, neuromorphic computing and satellite formation flight. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/niranjanravichandra", "x_url": "https://x.com/0xnravic", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/537093808141633a595f61b05e15face61dc9b9c.jpg" } ], "jobs": [ { "id": 95527, "title": "Forward Deployed Engineer: AI + HPC", "url": "https://www.ycombinator.com/companies/cedana/jobs/d1vYocG-forward-deployed-engineer-ai-hpc", "location": "US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$140K - $180K", "equity_range": "0.10% - 0.25%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 95761, "title": "Systems Engineer: Linux Kernel Test and Validation", "url": "https://www.ycombinator.com/companies/cedana/jobs/BntWOIg-systems-engineer-linux-kernel-test-and-validation", "location": "US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$140K - $180K", "equity_range": "0.10% - 0.30%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 73681, "title": "Cedana - Real-time save, move and resume for compute", "tagline": "Solving critical GPU performance, reliability, capacity and cost problems", "body": "Hey, we’re Neel and Niranjan from [Cedana](https://cedana.ai/?utm_source=cedana&utm_medium=yc&utm_campaign=launch).\n\n![uploaded image](/media/?type=post&id=73681&key=user_uploads/77597/b1097aa9-66f2-4253-8243-63e63d5c23e9)\n\n### **The Problem**\n\nLosing work because of infra problems is painful. Imagine you have a long-running compute job and the instance fails. Your 20-hour job finished but because your pipeline was misconfigured you have to restart it from scratch.  \n\nBurning cash is stressful.  Poor utilization results in your inference jobs costing more.  If you’re managing a cluster of 1,000s of GPUs, poor utilization leaves money on the table even while demand is skyrocketing.    \n\nCold start times impact your customer satisfaction and their reliance on your solution.  \n\nLimited GPU access makes it difficult for you to innovate, and finding GPUs can be a full-time job of constantly identifying, evaluating, and adapting different vendors.    \n\n### **Our Solution**\n\nCedana is real-time migration for compute.  We automatically schedule and move workloads across instances and vendors without interrupting progress or breaking anything.\n\nThere are several critical benefits:\n\n* Utilization is maximized to save costs and eliminate idle resources.  \n* Job-level SLAs dynamically allocate compute between inference and training, prioritizing costs, latency, and performance based on preferences.  \n* Avoid re-running jobs from scratch due to infra, pipeline, or memory failures. Jobs continue their progress in the event of infra failure or spot revocation.\n* Access planet-scale compute through vendor aggregation\n* Solve the cold start problem by enabling fast auto-suspend-resume \n* Spot management that migrates and provisions new instances automatically upon revocation or failure.\n\n  \n\nOpenAI, Meta, Microsoft, and Databricks employ some of these methods internally and we’re bringing them to everyone.\n\n### **How it works**\n\n[Cedana](https://cedana.ai/?utm_source=cedana&utm_medium=yc&utm_campaign=launch) is available as an [open-source package](https://github.com/cedana/cedana-cli) and as a [managed service](https://www.ycombinator.com/launches/JAP-cedana-real-time-save-move-and-resume-for-compute). \n\n* Cedana needs no code modification and works with Linux processes or containers\n* Current use cases and customers range from AI Training and Inference, High-Performance Compute, DevTools, ML Ops platforms, and Computational Biology.\n* It automatically provisions and manages infra with your existing credentials. Our managed service can leverage our vendor relationships if preferred.\n\nHere’s a 1m30s [demo video](https://www.youtube.com/watch?v=KC4STzSQ_DU)\n\n### **Our Team**\n\nOur team has built real-world robotics and large-scale computer vision systems across a number of places including 6 River Systems/Shopify and MIT.  We’ve led the development, commercialization, and scale of NLP for clinical workflows used in the delivery of patient care.   Our team’s publications span computer vision, computer graphics, robotics optimization, and spacecraft/aerospace controls, with patents in AI use cases for grid energy management, optimal battery control, and healthcare. \n\n### **We kindly ask**\n\n* Give Cedana a try! [Check out our Github Repo](https://github.com/cedana/cedana-cli)\n* Please support us with a Github star", "url": "https://www.ycombinator.com/launches/JAP-cedana-real-time-save-move-and-resume-for-compute", "votes": 26, "created_at": "2023-08-01T22:03:04.520Z" } ] }, { "id": 29231, "name": "Ubicloud", "slug": "ubicloud", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/621ac44e76ec8f002f47c567b4533df1d318abcc.png", "website": "https://www.ubicloud.com", "all_locations": "San Francisco, CA, USA", "long_description": "Ubicloud is an open source cloud that can run anywhere.\r\n\r\nOur cloud services include elastic compute, block storage, virtual networking, managed Postgres, K8s, AI inference, and powerful IAM. Ubicloud provides these services on bare metal providers, such as Hetzner, Leaseweb, or AWS Bare Metal.\r\n\r\nYou can self-host our software or use our managed service to reduce your cloud costs by 3-10x.", "one_liner": "Open source alternative to AWS", "team_size": 15, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1700481295, "tags": [ "Cloud Computing", "Infrastructure", "AI", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ubicloud", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/ubicloud.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ubicloud", "x_url": "https://twitter.com/UbicloudHQ", "fb_url": null, "cb_url": null, "github_url": "https://github.com/ubicloud/ubicloud", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/621ac44e76ec8f002f47c567b4533df1d318abcc.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": 26240, "full_name": "Umur Cubukcu", "title": "Founder", "founder_bio": "Previously visiting partner at YC for W23 and S23; now co-founder at Ubicloud. Co-founder and CEO of Citus Data (S11), the creators of the distributed PostgreSQL database Citus. Led the PostgreSQL product team at Azure, after Citus Data was acquired in 2019 by Microsoft.", "is_active": true, "linkedin_url": "https://linkedin.com/in/umurc", "x_url": "https://twitter.com/umurc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/811b92be504c42ee56cf6aad47e9f0f260d0fc7c.jpg" }, { "user_id": 26241, "full_name": "Ozgun Erdogan", "title": "Founder", "founder_bio": "I’m the cofounder of Ubicloud (YC W24), an open source alternative to AWS. We're on a mission to rebuild the cloud market with different values.\n\nPreviously, I was a partner at Microsoft, leading PostgreSQL engineering teams. I came to Microsoft through its acquisition of Citus Data (S11). I was the cofounder and CTO at Citus, and I learned a lot about doing startups there. Before all this, I built distributed systems at Amazon.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ozgune", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d633f56431a747505416d1e826a81fb1377926ee.jpg" }, { "user_id": 49554, "full_name": "Daniel Farina", "title": "Founder/CTO", "founder_bio": "I am one of the founders of Ubicloud.\n\nI've contributed to a number of control planes from an early phase, starting at Heroku, in what would become Heroku Postgres. Since then, I've serially created new control planes and infrastructure cloud products with some close colleagues, at Citus Cloud and Crunchy Bridge. Ubicloud is the fourth such system.\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/danfarina", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/18aa66df55ba80101caba48b73dd18d85d324c17.jpg" } ], "jobs": [ { "id": 89544, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/ubicloud/jobs/j4bntEJ-software-engineer", "location": "CA, US / Remote (NL; TR)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$95K - $250K", "equity_range": "0.15% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Ubicloud wants to build an open source alternative to AWS | TechCrunch", "url": "https://techcrunch.com/2024/03/05/ubicloud-wants-to-build-an-open-source-alternative-to-aws/", "date": "Mar 05, 2024" } ], "launches": [ { "id": 79315, "title": "Ubicloud - Open source alternative to AWS", "tagline": "Ubicloud is an open source cloud that can run anywhere.", "body": "**TL;DR**: Ubicloud provides IaaS cloud features on bare metal providers, such as Hetzner, Leaseweb, or AWS Bare Metal. You can self-host our software or use our managed service to reduce your cloud costs by 3-10x.\n\nHey everyone 👋 We’re Umur, Daniel, and Ozgun from [Ubicloud](https://www.ubicloud.com). We’re on a mission to rebuild the cloud market with different values. More on us below.\n\n## The Problem\n\n![uploaded image](/media/?type=post&id=79315&key=user_uploads/26241/10a339e1-dafe-421e-99f4-9484960966a7)\n\nAWS, Azure, and Google Cloud make life easier for start-ups and enterprises. But they are closed source, have you rent computers at a huge premium, and lock you in. It gets worse after your credits expire.\n\nAlthough the cloud came in with savings in its early years, the market evolved into a few players that overcharge for non-differentiated services, with increasingly complex products for standard, essential services. Each vendor optimizing for their walled gardens leaves customers stuck maintaining their apps and infra across incompatible clouds.\n\nThe cloud is here to stay. We believe a simpler, secure, and open source version of it will have a lasting impact.\n\n## The Solution\n\nUbicloud offers an open source alternative, reduces your costs, and returns control of your infrastructure back to you — all without sacrificing the cloud’s benefits. We’re starting with elastic compute, virtual networking, block storage (non-replicated), managed PostgreSQL, and powerful IAM.\n\nOur managed cloud runs on cost-effective bare metal providers, such as Hetzner. As a result, you can reduce your costs by 3-10x. Example use-cases:\n\n1. GitHub Actions: Change 1-line in your workflow file. Reduce costs by 10x\n2. Compute for batch processing: Run data pipelines for AI, scientific computing, and video processing - on-demand and encrypted. Reduce costs by 3x (vs AWS VMs)\n3. Managed PostgreSQL: Open source and portable. Uses local NVMes for higher performance, ideal for analytics. Reduce costs by 3x (vs AWS RDS)\n\n## The Team\n\n![uploaded image](/media/?type=post&id=79315&key=user_uploads/89898/3ce2495a-3697-4f8e-a61e-a6aa4a64bde7)\n\n_“Never tell me the odds.” — Han Solo_\n\nWe think the cloud galaxy deserves a solution that stands for open source values. We’re building to those values as part of the Rebel Alliance (yes, an alliance is needed to outmatch the empire :). From left to right:\n\n[Umur](https://www.linkedin.com/in/umurc/) - 5 years at startups. Then co-founded and led Citus Data (S11) to Microsoft acquisition. Led product teams within Azure. YC Visiting Partner for the previous two batches\n\n[Ozgun](https://www.linkedin.com/in/ozgune/) - 4 years at Amazon. Then co-founded and led Citus Data (S11) to Microsoft acquisition. Led engineering teams within Azure.\n\n[Daniel](https://www.linkedin.com/in/danfarina/) - Instrumental in building Heroku PostgreSQL. Amazed everyone with his skills in building managed cloud services at Citus Data, Azure, and Crunchy Bridge.\n\n## Our Ask\n\n1. Help us build the Rebel Alliance. [**Follow us (@UbicloudHQ)**](https://twitter.com/UbicloudHQ) on Twitter and tweet [**this post**](https://twitter.com/UbicloudHQ/status/1767594825023721858)!\n2. Start using Ubicloud for [GitHub Actions](https://www.ubicloud.com/use-cases/github-actions), [secure virtual machines](https://www.ubicloud.com/use-cases/ubicloud-compute), or [managed PostgreSQL](https://www.ubicloud.com/use-cases/postgresql). We reduce costs by 3-10x and we are open source!\n\n## The Deal\n\nTweeting and following us on Twitter gets 5,000 free compute minutes (standard-2). Using Ubicloud for one of the above use cases before demo day gets 10,000 compute minutes. Claim those minutes by sending us an email at [founders@ubicloud.com](mailto:founders@ubicloud.com)", "url": "https://www.ycombinator.com/launches/KdH-ubicloud-open-source-alternative-to-aws", "votes": 121, "created_at": "2024-03-12T16:11:25.761Z" } ] }, { "id": 29320, "name": "Celest", "slug": "celest", "former_names": [ "Teo" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/708de5f70d1c62cfdbd2dc173bb1fb905166fb19.png", "website": "https://celest.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Celest is a backend-as-a-service for Flutter and Dart developers. It empowers Flutter developers with the tools and capabilities they need to become full-stack developers. We are introducing \"Cloud Widgets\", a set of primitives which enable you to declaratively define every piece of your backend and infrastructure in Dart.\r\n\r\nAs the role of the front-end developer evolves towards full-stack proficiency, we recognize that existing tools have fallen short for those specializing in Flutter. Using the programming language and patterns Flutter developers already know from building their frontend, Celest enables developers to build and connect their apps to their backend with no additional tooling.\r\n\r\nWe enable Flutter developers to concentrate on building features and delivering value to their customers rather than learning additional domains and fragmenting themselves across disparate toolchains.", "one_liner": "The Vercel of Flutter", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1701978273, "tags": [ "Developer Tools", "SaaS", "B2B", "Cloud Computing", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Inactive", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": true, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Dillon has been a member of the Flutter community since 2018 and worked at AWS on the Amplify Flutter product for two and a half years. At AWS, he created the first comprehensive Dart SDK, aimed at helping Flutter developers connect their apps to AWS. This SDK received positive reception within the Flutter community. However, he identified a persistent challenge: Flutter developers were still facing difficulties in crafting their backends, since it required them to spread themselves across different toolchains and programming languages. Recognizing this gap, Dillon left AWS with the idea of creating a dedicated platform for Flutter developers to unlock their ability to build every part of their apps in Dart. He submitted an application to Y Combinator only an hour before the deadline and was accepted into the Winter 2024 batch. Now, he’s able to realize the vision started at AWS: significantly improving the Flutter development landscape." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Our vision is centered on expanding the capabilities and reach of Flutter and Dart developers. By providing a solution that facilitates backend development in Dart, we are enhancing and completing the story for the Flutter and Dart ecosystem by making Dart a comprehensive language for building full-stack applications. Dart's strong typing and sound design patterns make it an attractive alternative for those currently using JavaScript/TypeScript for web development. 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Previously, I wrote the Amplify Flutter framework at AWS.", "is_active": false, "linkedin_url": "https://linkedin.com/in/dillon-nys", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/115197e5419648fa054955244579810145dab9d8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 79354, "title": "Celest 💙 turning every Flutter developer into a full-stack developer", "tagline": "Write once, deploy literally anywhere", "body": "When I was at AWS building Amplify Flutter, I found myself wanting to write more and more of my code in Dart. I loved being able to maintain my flow state and use a single programming language—one I’d grown quite fond of—for everything. CLIs, tooling scripts, HTTP servers… if I needed a piece of code, I would find a way to write it in Dart.\n\nThe ecosystem for these use cases was immature but that just made it a challenge, which I loved. _Use the right tool for the job_, you may say. Nah… I want to use Dart. I thought I was alone in this quest but, I was okay being the crazy one.\n\nAnd then, to my surprise, our customers began asking\n\n“When can I write my Lambdas in Dart?”\n\n“When is AWS going to release an SDK for Dart so I can use it in my backends?”\n\nIt dawned on me that there was perhaps something deeper we were all experiencing, something more fundamental about coding being expressed.\n\nJavaScript is one of the most popular server-side languages in use today. A reasonable person with no knowledge of JavaScript may conclude from this that it’s because JavaScript is performant, efficient, or otherwise designed for the server.\n\nThe reality, though, is that developers will often seek the path of least resistance in an environment replete with friction. It’s easy to deride a choice in language, but it’s hard to downplay the numbers. Software engineers are human, after all—and humans are constantly optimizing their flows.\n\nFlutter was born from a desire to solve this age-old quest of optimization—first, as a way to build iOS and Android apps from the same codebase, saving teams the burden of managing two separate products. Then, to desktop and web applications, dramatically reducing the barrier to entry for these platforms too. The vision is largely realized. And, thanks to Dart, it’s been done without sacrificing performance.\n\n![uploaded image](/media/?type=post&id=79354&key=user_uploads/251048/d2f6624a-21cf-4080-93ba-a61020b1070b)\n\nOur mission with [Celest](https://celest.dev/) is to fill in the last piece of this puzzle—the cloud. We do that, simply, by starting and ending with Dart.\n\nHere’s how you define a cloud function with Celest.\n\n![uploaded image](/media/?type=post&id=79354&key=user_uploads/251048/78043071-9e1e-4349-907e-ffc1c1f08c3e)\n\nAnd here’s how you add authentication.\n\n![uploaded image](/media/?type=post&id=79354&key=user_uploads/251048/8ca2deb1-8964-4b0b-b08b-734e58a02c6b)\n\nTo test it out, you run `celest start` and iterate on your backend locally as you build your Flutter app. Your functions hot reload as you save your changes, and integration comes free with an auto-generated client library.\n\n![uploaded image](/media/?type=post&id=79354&key=user_uploads/251048/6222b983-d692-43f1-8f83-58c42a131053)\n\nAnd when you’re ready to turn this into a fully managed and auto-scaled backend, you run `celest deploy`. That’s it.\n\n![uploaded image](/media/?type=post&id=79354&key=user_uploads/251048/ad25a06e-a7c8-4fb9-b6d9-b591519c8b98)\n\nAs a Flutter developer, I’ve never left the Dart programming language, never thought about the many layers of abstraction beneath, and didn’t even need to leave my IDE to solve an otherwise laborious and flow-breaking task. I’m back to writing my app in less than 5 minutes. It feels like I’d never left.\n\n---\n\nCelest is the product I always wanted as a Flutter developer, the tool I had felt crazy for wanting at one point. It feels a little less crazy now, but only time will tell :-)\n\nYou can try and play with Celest for free today. Our cloud offering has started rolling out to the waitlist and will be publicly available in the coming weeks. For this and all the other goods in store, check us out @ [celest.dev](https://celest.dev?utm_source=ycombinator&utm_medium=blog&utm_campaign=launch_yc)\n\nAnd if this story rings true for you (or not), I’d love to hear your thoughts\n\n[dillon@celest.dev](mailto:dillon@celest.dev)\n\nTo the crazy ones 😎 🎯\n\nDillon, Chief Celestial", "url": "https://www.ycombinator.com/launches/Kdu-celest-turning-every-flutter-developer-into-a-full-stack-developer", "votes": 45, "created_at": "2024-03-13T14:29:37.676Z" } ] }, { "id": 29660, "name": "Hyrex", "slug": "hyrex", "former_names": [ "Kura" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c33003b33c54f32f641d1dd6956b58f331c3842d.png", "website": "https://www.hyrex.io", "all_locations": "San Francisco, CA, USA", "long_description": "Hyrex is a task orchestration framework that uses PostgreSQL (or Hyrex Cloud) as a durable task queue. Define tasks in Python or TypeScript, send them to be processed asynchronously, and let Hyrex handle the rest.\r\n\r\nHyrex tasks are COLD: Controllable, Observable, Large-Scale, and Durable!", "one_liner": "The COLD Task Framework", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1724200248, "tags": [ "AIOps", "Developer Tools", "Cloud Computing", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 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/hyrex", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/hyrex.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hyrex-labs", "x_url": "https://x.com/hyrex_io", "fb_url": null, "cb_url": null, "github_url": "https://github.com/hyrex-labs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c33003b33c54f32f641d1dd6956b58f331c3842d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/29c89a57406f27700f9b8b7efac971895519ec3f.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 668182, "full_name": "Mark Dawson", "title": "Founder/CEO", "founder_bio": "Software Engineer. Second time founder. Currently focused on AI + Cloud infrastructure.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/markedwarddawson/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6790b0a938ff2f969081aec2eac59e12ba759360.jpg" }, { "user_id": 1967655, "full_name": "Trevor Reed", "title": "Founder/CTO", "founder_bio": "Co-founder at Hyrex, building the COLD task orchestration framework. Former Mars Rover driver at JPL with over 1km of drive distance on Mars and software engineer at Google processing worldwide YouTube data.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/trevorar", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0f6e2f6d5eafc4fc06afb8ca024e54677782c091.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93335, "title": "Hyrex - The Open-Source COLD Task Framework", "tagline": "Production-grade background tasks built on Postgres", "body": "![uploaded image](/media/?type=post&id=93335&key=user_uploads/1967655/4c6a3685-1d2e-4f71-8808-ffcbd2a920a8)\n\n\\\nWe’re Mark and Trevor, founders of [Hyrex](https://hyrex.io). We’ve written a lot of software over the years at Google, NASA, and multiple startups. As our focus has shifted to scalable web apps, we’ve come to appreciate the magic of asynchronous background task queues. They make it easy to build lightning-fast apps that can scale dynamically, while ensuring that essential tasks are completed with full confidence, in priority order. This distributed approach is more important than ever for building dynamic AI agents, indexers, and web-first apps.\n\nHere’s a basic task orchestration architecture - you send tasks (i.e. function calls) to a queue, and workers pull them off and complete them in parallel.\n\n![uploaded image](/media/?type=post&id=93335&key=user_uploads/1967655/f29e6d7d-890b-4863-aa19-eea241e05714)\n\n**The Problem**\\\nUnfortunately, none of the existing frameworks supported everything on our checklist. As we talked with developers working on startups, we learned that most shared the same experience. Some frameworks require extensive code rewrites, while others are difficult to configure and debug, or simply unmaintained. Most lack a deep commitment to open-source, and many require dependencies on outdated or niche technologies. As you can probably guess by now, we decided to build our own!\\\n\\\n**Our Approach**\n\nWe started with a few core creative constraints.\n\n1. Only required dependency is a Postgres database.\n2. Existing functions can be converted to tasks using just a decorator/wrapper. No changes to your core code that lead to lock-in.\n3. Open-source first, with a higher-performance managed service with an identical SDK. Easy to switch back-and-forth.\n4. Can be set up and tested in minutes.\n\nAnd we ended up with Hyrex!\n\nIf you’ve used a task framework before, everything should work as you expect (and probably better)! If you’re new to task frameworks, everything you need to know is at [hyrex.io/docs](https://hyrex.io/docs)\n\n![uploaded image](/media/?type=post&id=93335&key=user_uploads/1967655/8472e657-3969-4e48-aa91-d4a8ecdc7f85)\n\n\\_(Hyrex Cloud in action)\\_\\\n\\\n**What is COLD?**\n\nWhy do we call ourselves “the COLD task framework”? For each function you wrap as a Hyrex task, you get 4 properties needed for production-grade systems:\n\n* **Controllable** - tasks can be sent from anywhere, anytime, with any configuration\n* **Observable** - tasks status, results, logs, and metadata are easily available via a UI or programmatically\n* **Large-scale** - workloads are horizontally scalable across any cloud infra (even multi-cloud)\n* **Durable** - workers are fault-tolerant and self-healing, and tasks can’t be dropped once they’re in the system\n\nWith these built-in properties, your Python/TypeScript functions are ready to send with confidence. You can run them on schedules and easily chain them together into task trees to build products like Deep Research and dynamic AI agents.\n\n![uploaded image](/media/?type=post&id=93335&key=user_uploads/1967655/a9e116eb-a557-4687-8f6a-fd8242f72e3d)\n\nHyrex open-source requires only a Postgres database to run. Hyrex Cloud ([hyrex.io/cloud](https://hyrex.io/cloud)) provides higher throughput, GitHub integration with automatic deployments when you push changes, and built-in scalable worker pools. Both options use the same SDKs, so you can easily switch at any time!\n\n**Hyrex Cloud pricing**\n\n* $200/month - individual plan (1 project + 1 worker)\n* $400/month - team plan (up to 5 members and 5 projects + 2 workers)\n\n**Our ask:**\n\n* Sign up for a 1:1 demo at [hyrex.io](http://hyrex.io)\n * We’d love to chat directly and help write your first Hyrex task!\n* Try it out on your own!\n * Build your first Hyrex task in minutes using our quickstart guides: https://hyrex.io/docs/learn/getting-started\n* Join our Discord ([discord.gg/hyrex](https://discord.gg/hyrex)) for questions and discussion", "url": "https://www.ycombinator.com/launches/OHP-hyrex-the-open-source-cold-task-framework", "votes": 17, "created_at": "2025-08-27T13:44:23.405Z" }, { "id": 83339, "title": "Kura | The AI DevOps Copilot", "tagline": "Kura is an intelligent copilot that helps software teams manage and optimize their cloud infrastructure.", "body": "**TL;DR:** [Kura](https://www.usekura.com/) integrates directly with services like AWS, helping software teams respond to incidents, provision infrastructure, and optimize complex cloud systems.\n\n![uploaded image](/media/?type=post&id=83339&key=user_uploads/1967655/a1945e14-3f49-4491-8e31-d40335e6f5ab)\n\nHello YC! We’re [Trevor](https://www.linkedin.com/in/trevorar) and [Mark](https://www.linkedin.com/in/markedwarddawson/), founders of Kura. After building distributed systems for a combined \\~15 years at places like Google and NASA, we know the challenges and triumphs of cloud-based products. We started Kura with the core belief that recent AI advancements can unlock the potential of software teams building on the cloud.\n\n# **What’s the problem?**\n\nAs web apps become increasingly core to the world, maintaining cloud infrastructure requires increasingly more time and resources.\n\n* Distributed systems are getting more complex than ever\n* Managed solutions trade off ease against control and cost\n* Cloud infra engineers are few and far between, leaving much of the work to teams who may not have extensive cloud experience\n\n# **What can Kura do?**\n\nKura is a chatbot and workspace that integrates directly with a live index of your cloud infra from services like AWS, GCP, and Azure.\n\n![uploaded image](/media/?type=post&id=83339&key=user_uploads/1967655/be157dd9-7ee9-48bf-af07-aca46efca63c)\n\n**Kura can answer questions about your cloud system**, providing links and live information for queries like:\n\n* “Is my main API cluster healthy?”\n* “Which container version is running in prod?”\n* “Can you help me deploy a new container via CDK?”\n\n**Kura can run pre-packaged and user-defined “runbooks”** to proactively surface issues via notifications. For example:\n\n* Scheduled checks for over/under-utilized computing resources\n* Discovering and surfacing cost spikes and trends\n* Searching for common security vulnerabilities\n\nWith Kura, software teams can build faster and more confidently on the cloud, all while maintaining full control of their critical infrastructure.\n\n# **Our ask:**\n\n* If your team is building on the cloud and would like to learn more or sign up as a pilot customer, please reach out to [founders@usekura.com](mailto:founders@usekura.com).\n* If you know software teams or developers running into roadblocks due to cloud complexity, please send this post their way - we’d love to chat and learn more!\n* Follow us at [@kura_labs](https://x.com/kura_labs) to follow along on the journey!", "url": "https://www.ycombinator.com/launches/LgB-kura-the-ai-devops-copilot", "votes": 57, "created_at": "2024-08-23T01:15:08.727Z" } ] }, { "id": 29663, "name": "NetworkOcean", "slug": "networkocean", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4ea43063c4846025feacfa937099e20519f804c8.png", "website": "https://networkocean.io/", "all_locations": "San Francisco, CA, USA", "long_description": "We build floating solar data centers to reduce time-to-first-power by 10x. We powered an H100 in the bay, from a paper sketch to serving a customer within 60 days.", "one_liner": "We build floating solar data centers", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1722891266, "tags": [ "Hard Tech", "Hardware", "Cloud Computing", "ClimateTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Climate" ], "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/networkocean", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/networkocean.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/networkocean/", "x_url": "https://x.com/Network_Ocean_", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4ea43063c4846025feacfa937099e20519f804c8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 433820, "full_name": "Sam Mendel", "title": "Founder/CEO", "founder_bio": "CEO, Co-founder of NetworkOcean", "is_active": true, "linkedin_url": "https://linkedin.com/in/sammendel2000", "x_url": "https://twitter.com/sammendel00", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3ffd57db8a32e8d41deb62d4d891781f6f30cac4.jpg" }, { "user_id": 1647914, "full_name": "Eric Kim", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO building floating data centers @ NetworkOcean. \nBackground in Physics and CS, with a focus on ML and renewable energy.", "is_active": true, "linkedin_url": "https://linkedin.com/in/yekime", "x_url": "https://x.com/yekime", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a9d4ec17a3c6b3ee6a548d96dcaf4f73cdef3ec7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 117462, "title": "NetworkOcean: Floating solar data centers", "tagline": "We build floating solar data centers to cut time-to-power by 10x", "body": "### **TLDR:**\n\nFloating solar will soon be the fastest, most sustainable way to deploy data centers. Bypass interconnection queues, HV equipment delays, turbine backlogs, and public moratoriums. Our 2030 target is 1 GW/wk.\n\n#### Launch video:\n\n\n\n#### Whitepaper:\n\n\n\nSolar is already at 700 GW/yr scale. Solar is the only technology that can match AGI timelines. \n\n![uploaded image](/media/?type=post&id=117462&key=user_uploads/1647914/857054e6-c943-465f-83b4-7aaff5634538)\n\nLast week, NetworkOcean made history as the 1st to run a customer AI workload from the ocean, powered by solar.\\\n\\\nWe went from paper to deployed in the water in 53 days.\n\n#### Asks:\n\nShare the launch on X: \n\nAnd on LinkedIn: \n\nAnd share the NetworkOcean showcase tomorrow (9/29/26) to relevant investors and founders:\n\n\n\nEdit (10/1/26): Thanks for showing up to the event! \n\n![uploaded image](/media/?type=post&id=117462&key=user_uploads/1647914/d2459e60-8728-46d1-98b6-73fef3e1a4c6)\n\n![uploaded image](/media/?type=post&id=117462&key=user_uploads/1647914/a391fac0-bbf2-4b4e-95d1-a8c46025b29b)\n\n![uploaded image](/media/?type=post&id=117462&key=user_uploads/1647914/85da9b24-7615-400f-b953-692ef3c8b1f5)\n\n_ad mare_\n\n[_founders@networkocean.io_](mailto:founders@networkocean.io)", "url": "https://www.ycombinator.com/launches/UYY-networkocean-floating-solar-data-centers", "votes": 158, "created_at": "2026-09-30T00:24:09.713Z" }, { "id": 83094, "title": "NetworkOcean - Underwater data centers", "tagline": "We build underwater data centers to cut power usage by up to 30%", "body": "### We are now building floating solar data centers. \nNew launch:\nhttps://www.ycombinator.com/launches/UYY-networkocean-floating-solar-data-centers\n\n\nOld launch:\n# **TLDR:**\n\nOur underwater data centers eliminate water consumption and reduce power usage by up to 30% through efficient cooling, creating **more capital-efficient and sustainable AI infrastructure.** \n\n**✴️ We have 2,048 low priced H100s you can reserve **[**_now_**](http://networkocean.io/)**_._**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcZNMjB36smeVmqCdg-o97CvLCbxdtHyni1mK4PoLdGtaLXh06mxoJUueWBB2ic7_btx6EYnyZjYJ7s-sCmWImuXkajXUO60gRL2k-O2VIM7aDIgr7pvTCaQgwdLYpwWk_udq3VPt9_7YbYB8iOb18jh7uV?key=MO98a9JpAng3q9fJmJYqcg)\n\n_Our 0.5 MW capsule in progress, to be tested underwater in the SF Bay in 1 month._\n\n# **Problem:**\n\nBy 2030, we’re projected to see:\n\n* $1T+ spent building data centers\n* 1T+ gal/yr consumed by data centers\n* 800+ TWh/yr by US data centers\n\n**💵 Cost:**\n\nBuilding a data center costs $10-20 million per MW of power capacity. 2/3rd of this cost is land, building, and cooling infrastructure. A GW facility requires a staggering $10-20 billion investment before purchasing any servers or switches.\n\n**🔌 Power:** \n\nPower capacity is the primary constraint in building new data centers. Real estate with high-power infrastructure and power availability is extremely high in demand.\n\n**💧 Water:**\n\nSince water usage doesn’t affect net-zero carbon goals, most hyperscalers prioritize energy efficiency by using water-intensive evaporative cooling systems. This approach is facing scrutiny, as evidenced by [Google's recent permit](https://www.reuters.com/world/americas/chile-partially-pulls-google-data-center-permit-seeks-tougher-environmental-2024-02-27/) issues in Chile. \n\n# **Solution: 🌊**\n\n**Underwater data centers.** \n\n1. They’re cheaper to build than on-land data centers, significantly reducing costs in land, building, and cooling infrastructure. \n2. They’re also cheaper to operate, with up to 30% lower power consumption and no water consumption.\n\n \n\nOther benefits: \n\n* Co-location with offshore power\n* Speed to deployment\n* [1/8th](https://natick.research.microsoft.com/) Hardware failure rate\n* Low latency to coastal cities (<2ms to all of SF from the Bay)\n\n**Have others tried this?**\n\n[Microsoft, 2016](https://natick.research.microsoft.com/): was the first to experiment with underwater data centers. They built a proof-of-concept capsule that showcased promising efficiency metrics. Despite this, the project remained a research testbed, with limited investment in underwater infrastructure, maintenance operations, and scaled deployments. Microsoft has [officially retired](https://www.datacenterdynamics.com/en/news/microsoft-confirms-project-natick-underwater-data-center-is-no-more/) the project and is focused on expanding their existing on-land data centers.\n\n[China moving ahead](https://www.datacenterdynamics.com/en/news/china-deploys-1400-ton-commercial-underwater-data-center/): since Microsoft’s Project Natick, Highlander was awarded an $880M contract to build 100 data center capsules around Chinese port islands.\n\n**Team:**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfAwb2H9E-6BWAIJYVyJGPhF9OyzSH1nggJFj_GHMHJH00EvwbnxMioApVY6CLejRHT7McsVvhSF8Q3KAK9TDivKfuFsqqJpn9p92DW6Fr16h6ThEcRmkGVex_WN-pnPwGmOd5DpvOpEIWl6y23boXBTaM?key=MO98a9JpAng3q9fJmJYqcg)\n\n[_Sam Mendel_](https://linkedin.com/in/sammendel2000) _and _[_Eric Kim_](https://linkedin.com/in/yekime)_, co-founders of **NetworkOcean**_\n\nSam and Eric met through robotics in 9th grade and worked together building underwater MHD generators throughout high school. Eric has patented a renewable energy device and developed various CV and LLM applications at Cornell, Merge, and Palantir. Sam, to fund his ocean tech ambitions, built various startups and hardware projects, most recently exiting a hiring marketplace for creators. A year ago, he built and deployed a floating web server that hosted our site in a port in the bay. \n\n### **Asks:**\n\nAs of this launch, **we have 2,048 H100s available NOW.**\n\n[Reserve 1-2,048 H100s](http://networkocean.io), minimum 1 week reserved, ≤ $2.10 / GPU / hr\n\nWe can operate GPUs cheaper than anyone else, but we will be constrained by capacity. If you know you will have future needs, please let us know soon, and we'll work to get you your GPUs!\n\n**_Ad mare -_** [_Founders@NetworkOcean.io_](mailto:Founders@NetworkOcean.io)", "url": "https://www.ycombinator.com/launches/LcE-networkocean-underwater-data-centers", "votes": 247, "created_at": "2024-08-15T17:56:53.858Z" } ] }, { "id": 29667, "name": "Rewbi", "slug": "rewbi", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/05452330a078be465b5353a9b54ad87966552d0b.png", "website": "https://www.rewbi.com/", "all_locations": "San Francisco, CA, USA", "long_description": "A stealth mode startup.", "one_liner": "A stealth mode startup.", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1724874761, "tags": [ "B2B", "Energy", "Renewable Energy", "Cloud Computing", "ClimateTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rewbi", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/rewbi.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rewbi", "x_url": "https://x.com/rewbienergy", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/05452330a078be465b5353a9b54ad87966552d0b.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": 600101, "full_name": "Thomas Marge", "title": "Founder/CEO", "founder_bio": "Thomas is co-founder and CEO of Rewbi, which uses AI to optimize grid-connected battery storage. He previously founded inBalance, a YC W21 company, which was acquired by Stem (NYSE: STEM) in January of 2023. He led battery storage optimization and forecasting for Stem. He completed part of a Pure Mathematics PhD at University of Cambridge, which he left to build inBalance. He holds a Masters in Applied Mathematics and B.S.E. in Pure and Applied Mathematics from Johns Hopkins, graduating early.", "is_active": true, "linkedin_url": "https://linkedin.com/in/thomas-marge", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e928aa8f09dd229ceedcffa08968ba2649d89e7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83622, "title": "Rewbi - Using AI to optimize grid-connected battery storage", "tagline": "Rewbi more than doubles grid-connected battery storage revenue.", "body": "**We’re Rewbi!**\n\n**Rewbi uses AI to optimize grid-connected battery storage.** We generate revenue by charging batteries when electricity is cheap and discharging when electricity is expensive.\n\nWe rent battery storage for a fixed fee per month, and we earn **more than double** that fee in monthly revenue by dispatching the battery optimally.\n\nToday, power companies use human traders to manually track grid conditions and update the battery’s dispatch schedule. However, batteries can adjust their power output **100x faster** than traditional power generation (e.g., hydro, coal, nuclear, gas), with the ability to go from full-speed charging to full-speed discharging in under a minute. **Electricity prices change every 5 minutes, often by 300% or more.** Our AI better tracks 100s of live inputs, and it makes decisions faster than a human operator (with lower overhead), **more than doubling revenue**.\n\nSince starting YC, we’ve joined ERCOT (the Texas grid operator) as a registered power company.\n\n**Our Team**\n\n[Thomas](https://linkedin.com/in/thomas-marge) has built battery dispatch (and wind farm optimization) solutions for the past 8 years, including as founder of inBalance (YCW21, acquired by Stem, Inc. in January of 2023). [Derek](https://linkedin.com/in/derekmod) wrote his first commodity trading and risk management algorithm for a fund when he was 18, and he was the first technical hire at Adept - his models were used to raise over $400m. We’ve known each other for a decade - we met working together on grad level math courses as freshmen at Hopkins.\n\n**Asks**\n\nWe would love to speak with battery storage developers - message us at or email us at [founders@rewbi.com](mailto:founders@rewbi.com)!\n\n![uploaded image](/media/?type=post&id=83622&key=user_uploads/89898/0f214291-26b7-4259-a61d-55904a9d8616)\n\n![uploaded image](/media/?type=post&id=83622&key=user_uploads/89898/503ce453-7532-40ea-b307-9e0f0c5827b3)\n\n", "url": "https://www.ycombinator.com/launches/Lkk-rewbi-using-ai-to-optimize-grid-connected-battery-storage", "votes": 26, "created_at": "2024-08-30T16:53:42.510Z" } ] }, { "id": 29767, "name": "Thunder Compute", "slug": "thunder-compute", "former_names": [ "Thunder" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2623539c5a9dddb54681db96f38cf2be0f9428d9.png", "website": "https://www.thundercompute.com", "all_locations": "San Francisco, CA, USA", "long_description": "Thunder Compute is a systems research lab with commercial focus. We productionize GPU virtualization research to provide step-change improvements in utilization to our cloud offering and partner GPU fleets.", "one_liner": "GPUs for Agents", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1723245936, "tags": [ "Developer Tools", "Data Science", "Cloud Computing", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "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": [ { "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": "Carl Peterson and Brian Model met as freshmen at Georgia Tech and became close friends. The idea for Thunder Compute sparked from Brian's experience in his Systems for AI lab, where researchers made GPU reservations weeks in advance via Google Sheets, severely hindering research progress. This inefficiency inspired us to explore ways to improve GPU access." } ], "url": "https://www.ycombinator.com/companies/thunder-compute", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/thunder-compute.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/thundercompute/", "x_url": "https://x.com/ThunderCompute", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/thunder-9b4c", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2623539c5a9dddb54681db96f38cf2be0f9428d9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d3fd827d18b35d35d4f3861cffb2a960801078b5.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1276433, "full_name": "Carl Peterson", "title": "Founder/CEO", "founder_bio": "CEO of Thunder Compute, formerly Management Consultant at Bain", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cpeterson42", "x_url": "https://twitter.com/carl_petey", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/64f0d31897538a58874ce79d46b9d3390a4e51f9.jpg" }, { "user_id": 1989859, "full_name": "Brian Model", "title": "Founder/CTO", "founder_bio": "CTO of Thunder Compute, formerly Quantitative Developer at Citadel Securities", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brian-model/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c3c91379c7fd849da36c768aedd80a5f6151a624.jpg" } ], "jobs": [ { "id": 79986, "title": "Cloud Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/thunder-compute/jobs/dtlQhtw-cloud-infrastructure-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$1", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Go", "Kubernetes", "Python", "Linux" ] }, { "id": 82422, "title": "Systems Software Engineer (C++)", "url": "https://www.ycombinator.com/companies/thunder-compute/jobs/SZq8TQx-systems-software-engineer-c", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$1", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "C++", "TCP/IP", "Linux", "Distributed Systems" ] } ], "news": [ { "title": "Thunder Compute raises $13M to squeeze more work out of idle GPUs - SiliconANGLE", "url": "https://siliconangle.com/2026/08/19/thunder-compute-raises-13m-squeeze-work-idle-gpus/", "date": "Aug 19, 2026" }, { "title": "Thunder Compute Raises $500K to Advance GPU Access for AI Developers | citybiz", "url": "https://www.citybiz.co/article/575672/thunder-compute-raises-500k-to-advance-gpu-access-for-ai-developers/", "date": "Jul 10, 2024" } ], "launches": [ { "id": 82910, "title": "Thunder Compute: Launch GPU instances in one click for 80% less", "tagline": "Self-serve GPUs in VS Code with persistent storage, snapshots, and hot-swappable hardware, for 80% less than AWS", "body": "![uploaded image](/media/?type=post&id=82910&key=user_uploads/1276433/30b5b896-6109-4aa6-8a05-fb9a138f61a8)\n\n### **The backstory**\n\nHi everyone, we’re Carl and Brian, aka the team behind [Thunder Compute.](https://thundercompute.com)\n\n![uploaded image](/media/?type=post&id=82910&key=user_uploads/1276433/07db7c92-f1f2-4356-80f8-9dabf9c2fbcd)\n\nBefore Thunder Compute, [Carl](https://www.linkedin.com/in/cpeterson42) was a Management Consultant at Bain & Company, and [Brian](https://www.linkedin.com/in/brian-model/) was a Quantitative Developer at Citadel Securities. Carl and Brian met at Georgia Tech and have been close friends for over 6 years.\n\n### **Problem**\n\nGPU access sucks. Today’s options are expensive and hard to use. Developers are crowded out of the market by large corporations and can’t get the GPUs they need for reasonable prices. Even if you can afford GPUs, they are scarce and hard to use.\n\n### **Solution**\n\nThunder Compute sells cloud GPUs for the lowest rates on the market and provides a simple interface to access them.\n\nYou can connect in one click through VSCode, without SSH. We have “prototyping” mode, with prices 50% lower than anywhere else, and “production” mode, with higher uptime and multi-GPU nodes.\n\n### **Our offer**\n\nSimple: low-cost, easy GPUs. \\\n\\\nIf you’re looking for a better GPU cloud, join Thunder Compute’s public beta today at [www.thundercompute.com](https://www.thundercompute.com).\\\n\\\nIf you have questions, need technical support, or want to rant about the current state of GPUs, join our discord at [**https://discord.gg/nwuETS9jJK**](https://discord.gg/nwuETS9jJK) or contact us at [**founders@thundercompute.com.**](https://mailto:founders@thundercompute.com/)", "url": "https://www.ycombinator.com/launches/LZG-thunder-compute-launch-gpu-instances-in-one-click-for-80-less", "votes": 50, "created_at": "2024-08-11T14:49:40.486Z" } ] }, { "id": 29808, "name": "Starcloud", "slug": "starcloud", "former_names": [ "Lumen Orbit, Inc.", "Lumen Orbit", "Star Cloud" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e9c9b9996bb500ee171134f1e1a0a83f5d48bec3.png", "website": "https://www.starcloud.com/", "all_locations": "Seattle, WA, USA", "long_description": "Starcloud is building data centers in space, initially to provide GPU compute to other satellites, and later to address the rapidly growing demand for energy caused by the deployment of AI. Falling launch costs give Starcloud access to abundant energy, radiative cooling, and the ability to rapidly scale in space.\r\n\r\nIn November 2025, just 21 months after founding, Starcloud launched its first satellite, Starcloud-1 to space. This has an Nvidia H100, which is 100x more powerful GPU than has ever been operated in space before. With this, they became the first entity to train an LLM in space and the first to run a version of Gemini in space. Starcloud will soon also run high-powered inference on Capella SAR data on orbit for the first time. \r\n\r\nStarcloud is launching its second satellite in October 2026, which will have 100x the power generation of the first and generate more cash than it costs to build and launch. Starcloud expects that within 10 years, most new data centers will be being built in space for the energy.\r\n\r\nIn March 2026, Starcloud raised a $170M Series A led by Benchmark, becoming the fastest unicorn in YC history, just 17 months after demo day.", "one_liner": "Data centers in space", "team_size": 12, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1718841179, "tags": [ "Hard Tech", "Satellites", "Climate", "Cloud Computing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "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/starcloud", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/starcloud.json", "year_founded": 2024, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/starcloudinc", "x_url": "https://x.com/Starcloud_", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/starcloud", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e9c9b9996bb500ee171134f1e1a0a83f5d48bec3.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/29867/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAOTKCHR7A%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022722Z&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=8f05ea904212f861c1d5ecd5761f1b4f7880444cd9717a5a059405f701de7659", "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/065a3eebab8634327ccf3fddba698fec064b402a.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1489854, "full_name": "Philip Johnston", "title": "Founder/CEO", "founder_bio": "Philip is a second-time founder who previously spent time at McKinsey & Co. working on satellite projects for national space agencies. Philip has an MPA in National Security & Technology from Harvard University, an MBA from Wharton, an MA in Applied Mathematics & Theoretical Physics from Columbia University, and is a CFA Charter holder.", "is_active": true, "linkedin_url": "https://linkedin.com/in/philipjohnst0n", "x_url": "https://x.com/philipjohnston", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d3394d5d9bde1ea05b6e234ac597803afa51503a.jpg" }, { "user_id": 1512096, "full_name": "Ezra Feilden", "title": "Founder/CTO", "founder_bio": "Ezra has a decade of experience with satellite design, specializing in deployable solar arrays and large deployable structures. Ezra comes from Airbus Defense & Space (SSTL) and Oxford Space Systems, where he worked on many missions, including NASA's Lunar Pathfinder. Ezra has a PhD in Materials Engineering from Imperial College London.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ezrafeilden", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b6a499a75b563eb52dd9821819b834e5119c29eb.jpg" }, { "user_id": 1861208, "full_name": "Adi Oltean", "title": "Founder", "founder_bio": "I have a software and hardware background. As part of SpaceX and Microsoft I delivered key features in satellite networks, operating systems, cloud and machine learning infra. \n\nMy focus areas at Starcloud include software, hardware and engineering design aspects of our satellite constellation. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adioltean/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8f6967e1c2ef4027c9198509b6ec69fb6aa3265b.jpg" } ], "jobs": [ { "id": 115514, "title": "Electrical Engineer", "url": "https://www.ycombinator.com/companies/starcloud/jobs/tJF6I6L-electrical-engineer", "location": "Redmond, WA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$100K - $200K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Starcloud raises $170M for space-based data centers, hits $1.1B valuation", "url": "https://www.geekwire.com/2026/orbital-ai-seattle-area-startup-starcloud-hits-1-1b-valuation-to-build-space-based-data-centers/", "date": "Mar 30, 2026" }, { "title": "Could data centres ever be built in orbit? Starcloud thinks so", "url": "https://www.economist.com/science-and-technology/2025/04/09/could-data-centres-ever-be-built-in-orbit", "date": "Apr 16, 2025" }, { "title": "Could data centres ever be built in orbit?", "url": "https://www.economist.com/science-and-technology/2025/04/09/could-data-centres-ever-be-built-in-orbit", "date": "Apr 09, 2025" }, { "title": "Newly renamed Starcloud raises $10M for space data centers", "url": "https://www.geekwire.com/2025/lumen-orbit-starcloud-10m-space-data-centers/", "date": "Feb 26, 2025" }, { "title": "The answer to tech’s clean energy problem? Put data centres in space", "url": "https://www.thetimes.com/business-money/companies/article/the-answer-to-techs-clean-energy-problem-put-data-centres-in-space-6pl9z5zbw", "date": "Feb 11, 2025" } ], "launches": [ { "id": 83713, "title": "Starcloud🚀 Data Centers in Space", "tagline": "Starcloud is building data centers in space to make use of 24/7 solar energy and passive cooling. ", "body": "![uploaded image](/media/?type=post&id=83713&key=user_uploads/1489854/7e0ffedf-fdc5-45ce-ade1-c091f6c96ea5)\n\n# **TL;DR** - We should train future large AI models in space to make use of abundant solar energy, cooling, and the ability to freely scale up.\n\nHey all, we're building data centers in space. We’re launching our first satellite next year, which will have the most powerful GPUs ever put in space by >100x. We will launch a larger iteration each year until we reach gigawatt scale.\n\n## **❌The Problem**\n\nFuture hyperscale data centers will put a huge strain on electricity grids, freshwater distribution, and the Western world’s permitting systems. It will simply not be possible to deploy multi-gigawatt scale data centers rapidly in the way we build data centers today.\n\n## **✨Our Solution**\n\nWe take advantage of falling launch costs to make use of inexpensive solar energy in space and low-cost passive radiative cooling, rapidly scaling up orbital data centers almost indefinitely without the physical or permitting constraints faced on Earth. This will ensure we can continue training ever larger models without destroying the environment.\n\n## **⚙️ Read our white paper**\n\nCheck out our [**white paper**](https://lumenorbit.com/wp) for more information on why space data centers are the future and how we’re going about making this happen.\n\nSee a short video on the design [here](https://www.youtube.com/watch?v=DIaKDUzFMpk).\n\n## **🏆 What we’ve achieved so far**\n\n* Booked our first launch (May 2025) and our second launch (H2 2026)\n* Set up our payload manufacturing facility in Redmond, WA\n* Designed and started building and testing our first spacecraft, with the fastest GPUs to ever launch to space by \\~100x\n* Created concept designs for our micro data center (2026 launch) and our Hypercluster data center (launching when Starship-class launch vehicles enter commercial service)\n* Secured high-value LOIs for H100 compute time in space\n\n## **🔜 What’s next**\n\n* Launch and complete our demonstrator mission, which will train the first LLM in space!\n* Prototype our micro-data center design\n* Secure contracts which incumbent hyper scalers\n\n## **👥 Our Team**\n\n![uploaded image](/media/?type=post&id=83713&key=user_uploads/1489854/22431fb2-7f3d-42f8-b2a2-32f684a6cf2b)\n\n[**Philip**](https://www.linkedin.com/in/johnstonphilip/), CEO, is a second-time founder who has worked at McKinsey & Co. working on satellite projects for national space agencies. Philip has an MPA in National Security & Technology from Harvard University, an MBA from Wharton, an MA in Applied Mathematics & Theoretical Physics from Columbia University, and is a CFA Charter holder.\n\n[**Ezra**](https://www.linkedin.com/in/ezrafeilden/), CTO, has a decade of experience with satellite design, specializing in deployable solar arrays and large deployable structures. Ezra comes from Airbus Defense & Space (SSTL) and Oxford Space Systems, where he worked on missions including NASA's Lunar Pathfinder. Ezra has a PhD in Materials Engineering from Imperial College London.\n\n[**Adi**](https://www.linkedin.com/in/adioltean/), Chief Engineer, was previously a Principal Software Engineer at SpaceX, where he was part of the Starlink network team enabling Starlink for in-motion users, including Starship. Before that, he deployed the first LLMs on large GPU production clusters at Microsoft, where he also delivered more than 25 patents in more than two decades. Adi holds degrees in Computer Science and Chemistry from the top two universities in Bucharest.\n\n## **🙏 Asks**\n\nJoin our team! If you are or know any hardcore engineers with experience in aerospace or data center infrastructure and are interested in working with the Starcloud team, please get in touch!\n\n[**https://www.starcloud.com/careers**](https://www.lumenorbit.com/careers)\n\nWe are also interested in talking to operators and customers of hyperscale training clusters who are contemplating the scale-up from megawatts to gigawatts.", "url": "https://www.ycombinator.com/launches/LmD-starcloud-data-centers-in-space", "votes": 44, "created_at": "2024-09-03T19:42:08.218Z" } ] }, { "id": 29976, "name": "Freestyle", "slug": "freestyle", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4c248db416a898fa7c553e48dd6ec3f458817e5.png", "website": "https://www.freestyle.sh", "all_locations": "San Francisco, CA, USA", "long_description": "Freestyle builds the most powerful VMs for AI Agents. \r\n\r\n- **Instant Startup**: Freestyle VMs provision in milliseconds, with p99s under 400ms.\r\n- **Persistence**: Freestyle VMs can run forever, they can be hibernated with their exact memory in place and come back to life weeks later instantly, in that exact state.\r\n- **Powerful**: Freestyle VMs go up to 64GB of RAM for public tiers and much further for enterprise. Freestyle does high quality hardware virtualization supporting nested virtualization, FUSE, eBPF, full Linux networking and more. If it can run in an EC2, it can run in a Freestyle VM.\r\n- **Cheaply Snapshottable and Branchable**: Freestyle VMs are instantly and cheaply snapshottable (sub 1ms interruption, sub 50ms to snapshot ready). These snapshots can be used to create new VMs in the exact state of the original VM (memory and disk). This enables powerful workflows like branching, cloning, and rapid recovery from failures.\r\n\r\n", "one_liner": "The most powerful sandboxes for AI Agents", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1719115501, "tags": [ "Developer Tools", "Cloud Computing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "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/freestyle", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/freestyle.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://x.com/freestyle_dev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/freestyle-sh", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4c248db416a898fa7c553e48dd6ec3f458817e5.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": 800509, "full_name": "Benjamin Swerdlow", "title": "Founder/CEO", "founder_bio": "I learned to code in elementary school.\n\nIn high school I served as a code owner and technical lead for the World Health Organization COVID-19 App Collective Team.\n\nI did a year of college, then took a job as a consultant for Apple. In 3 months I became a senior. \n\nI left Apple to found Freestyle. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/benswerdlow/", "x_url": "https://x.com/benswerd", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/477e8bc77c78795e61c56e29cfabab0ed4459ebc.jpg" }, { "user_id": 1860855, "full_name": "Jacob Zwang", "title": "Founder/CTO", "founder_bio": "I dropped out of college and became an Apple senior full-stack engineer in Conversational Engineering at 19. During the year and a half I worked there, I delivered multiple projects to production at scale.\n\nI love building products that inspire and delight customers, but I'm frequently frustrated by poor back-end developer tools. My co-founder and I are building a new cloud and backend workflow so that we and others can build exceptional software in a fraction of the time.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jacobzwang/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/38ccebf783ef3df1f880c363199154971ea91c89.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83627, "title": "Freestyle: A new way to build fullstack TypeScript apps", "tagline": "Empowering TypeScript developers to build with TypeScript", "body": "Today, most new apps are written with Fullstack TypeScript, but the tooling around them is still built as though the frontend and backend are separate codebases. We built an open source framework, runtime, and cloud that acknowledges this and removes these unnecessary layers from the development process.\n\n**What?**\n\nAny JavaScript class can be marked as [@cloudstate](https://github.com/freestyle-sh/cloudstate), and:\n\n1. The data in it is now persisted. You query the data with regular JavaScript.\n2. The methods on it can now be called from the front end. No Express/API Routes/tRPC needed!\n\n**Coolest Side Effect:** By building our tooling around Fullstack TypeScript, we enable **full-stack feature packages,** a way for JavaScript developers to package any feature they build and share it in a way that it can be embedded in other projects. Think **npm install mui**, except it’s **npm install chat**, or **npm install auth**. Imagine a world where every third-party SaaS provider today can be an open source package that runs in your application.\n\n**Our Ask:**\n\n**Build with us!** Contribute to our [Open Source Repository,](https://github.com/freestyle-sh/cloudstate) or try [deploying an app with us](https://docs.freestyle.dev)!\n\n![uploaded image](/media/?type=post&id=83627&key=user_uploads/89898/0a2412f8-6b6e-4906-9d8f-256badd8b332)\n\n", "url": "https://www.ycombinator.com/launches/Lkp-freestyle-a-new-way-to-build-fullstack-typescript-apps", "votes": 22, "created_at": "2024-08-30T19:44:46.817Z" }, { "id": 81748, "title": "Freestyle: TypeScript for EVERYTHING", "tagline": "A fundamental shift in how we approach web development", "body": "# **TLDR; You can use TypeScript for EVERYTHING**\n\n[**Freestyle**](https://www.freestyle.sh) is a fundamental shift in how we approach web development. With Freestyle, you write your entire application—frontend and backend—in TypeScript. No context switching. No mental gymnastics. Just pure, consistent TypeScript throughout.\\\n\\\nRight now, building an application has a ton of disjointed layers. Imagine you’re writing a book in English for English readers. Now, imagine being told that all the connecting words—the “ands,” “buts,” and “ors”—must be written in Latin. Sounds absurd, right? Yet, this is often what web development feels like: you write your frontend in one language, only to switch to another for the backend, another for your database, and yet another to let your app connect to others.\n\n![alt](https://blog.freestyle.dev/images/blogs/multiplayer-infinite-craft/meme-backend-frontend.png)\n\nDuring our work for Apple, we lost hundreds of hours trying to integrate different layers and teams together to make our application run. That time should’ve been spent on features, but instead was spent on stitching features together. We created [Freestyle](https://www.freestyle.sh) not as a new stitching tool but as a way for whole organizations to not need those tools and instead function as a single unit.\n\nWhen you use Freestyle, you write your frontend and backend in JavaScript. Then, when you wanna call functions from your backend on your frontend, you just use them — no more dealing with REST APIs. When you want to store data, you just mark your JavaScript as [@cloudstate](https://docs.freestyle.dev/guides/cloudstate/) and when you’re ready to deploy, you run **_npx freestyle deploy_** — and in one command you’re up and running.\n\nNo more SQL, no MongoDB, no Firebase, no GraphQL or REST, or anything else taking time away from building features. With Freestyle, all you need is TypeScript.\n\n### Ready to try it? [**Sign up for a demo here**](https://www.freestyle.sh/join), or [**CHECK OUT THE DOCS HERE**](https://docs.freestyle.dev/getting-started/astro)", "url": "https://www.ycombinator.com/launches/LGW-freestyle-typescript-for-everything", "votes": 87, "created_at": "2024-06-25T22:12:58.661Z" } ] }, { "id": 30307, "name": "Archon", "slug": "archon", "former_names": [ "NEXUS" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a035400f6acd84a35dea2f9fb7832b054c02ed12.png", "website": "https://archon.inc", "all_locations": "San Francisco, CA, USA", "long_description": "Archon helps software companies sell to the government by cutting the required federal compliance timeline (called FedRAMP) down from 16 to 6 months and cuts costs by $1M per company. \r\n\r\nEmail us at inquiries@archon.inc", "one_liner": "We help software companies sell to government.", "team_size": 3, "industry": "Government", "subindustry": "Government", "launched_at": 1738095676, "tags": [ "GovTech", "Compliance", "Cybersecurity", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Government" ], "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 came to YC planning to build AI agents that would speed up government workflows. But, we realized that we’d be spending more of our time on government compliance, than on our actual product. Currently, companies seeking FedRAMP certification face two bad options: spend millions of dollars on consultants, or use loophole solutions that lock them into unfavorable terms. We're building the solution we wish existed - a straightforward path that helps software companies build lasting government partnerships." } ], "url": "https://www.ycombinator.com/companies/archon", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/archon.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getarchon/", "x_url": "https://x.com/archoninc", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/archon-technologies-9074", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a035400f6acd84a35dea2f9fb7832b054c02ed12.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": 1220402, "full_name": "George Parks", "title": "Founder/CEO", "founder_bio": "CEO of Archon. Previously a tech policy analyst at the U.S. Department of State, informing diplomats on trends in AI, Quantum, and VR/XR. Originally a software engineering consultant. Studied CS at Georgia Tech.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/george-parks/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a00f68f05f36874e6552433e262e98e436a1173e.jpg" } ], "jobs": [ { "id": 77338, "title": "Founding Engineer, Infrastructure", "url": "https://www.ycombinator.com/companies/archon/jobs/iSDasJM-founding-engineer-infrastructure", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "$130K - $210K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Microsoft Azure", "Groovy", "Kubernetes" ] }, { "id": 77339, "title": "Software Engineer, Security", "url": "https://www.ycombinator.com/companies/archon/jobs/n9cvKhD-software-engineer-security", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$120K - $170K", "equity_range": "0.25% - 0.75%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Docker", "Software Security" ] }, { "id": 77340, "title": "Software Engineer, Full Stack", "url": "https://www.ycombinator.com/companies/archon/jobs/R6DSmps-software-engineer-full-stack", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $170K", "equity_range": "0.25% - 0.75%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87386, "title": "Archon: Fast-track selling software to government", "tagline": "Get the cybersecurity requirements you need to sell software to government.", "body": "We’re George and Sam—co-founders of Archon, and former government staffers. \n\n**TL;DR:** Our free-to-integrate SDK gives you all the cybersecurity requirements you need to sell to government faster and cheaper. This saves companies $1M (2/3rds of the cost) and reduces the timeline from 16 to 6 months. \n\n**Problem: The government software market is locked behind an opaque, million-dollar compliance process (called FedRAMP) that favors big incumbents with lots of time.**\n\n**Solution:** Our SDK provides compliant-out-of-the-box implementations of all the compliance features you need to sell to government – authentication, logging, access control, etc. You can integrate it into your existing codebase in a week, and we handle all of the obscure compliance restrictions so you don’t have to. \n\n![uploaded image](/media/?type=post&id=87386&key=user_uploads/2110890/2caad249-0936-4910-9a4e-12ad4425e4f5)\n\nIf you want to sell your software to government agencies, start exploring our SDK [here.](https://archon.inc/docs)\n\n\\\n**We condense the FedRAMP process into 4 steps.**\n\n1. Integrate our free SDK (what we’re launching today)\n2. Self-serve onboarding; then we prepare your 700-page security package\n3. Get an audit\n4. Wait for the Federal authorization board to approve your audit\n\nA typical Series A startup spends $1.5M on consultants and 1.5 years on the first 2 steps. Archon’s SDK cuts the integration timeline down to 1 week. We also know many startups that never sold their software to the government because the barrier was just too high. **Yet, the government’s IT spending accounts for 20% of the entire U.S. software market.** It’s our mission to eliminate these compliance hurdles and bring much-needed innovation from small tech to the federal sector. \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcz8xKiHOkcrclWYcEfAY2gc_hB1s4NlkbyEpQMLR9RNfngWF5EKYxG6N7b67Ix_5A7xxplmqU3xUvP65S-RAl4BSWsBuHJ0sy1duVwFAvZXXZ7xTPG9XPF4LZufVFMc5eQ-a-qrQ?key=gLGrgddQZLJJWptIH4zDOWpy)\n\n**Context:**\n\nWe came to YC planning to build AI agents that would speed up government workflows. But, we realized that we’d be spending more of our time on government compliance, than on our actual product. Currently, companies seeking FedRAMP certification face two bad options: spend millions of dollars on consultants, or use loophole solutions that lock them into unfavorable terms. We're building the solution we wish existed - a straightforward path that helps software companies build lasting government partnerships.\n\n**Team:**\n\n* **George Parks:** Advised diplomats on emerging technologies at State.\n* **Sam Jung:** Previously at State, advised the U.S. AI Safety Institute.\n\n# **OUR ASK:**\n\n* **Anyone looking to sell software to the government, or get FedRAMP**, we’d be grateful for an introduction. Email us at [founders@archon.inc](mailto:founders@archon.inc)\n* **If you want to sell to government, what technology do you use?** Our SDK is only available for NodeJS to start. Let us know what tech stack you use with [this form.](https://forms.office.com/r/m5vPfmqVP3)", "url": "https://www.ycombinator.com/launches/MjS-archon-fast-track-selling-software-to-government", "votes": 26, "created_at": "2025-02-03T21:39:28.653Z" } ] }, { "id": 30333, "name": "TensorPool", "slug": "tensorpool", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/79bd0c6f85962c1282260ab60adb0462fdb87ec8.png", "website": "https://tensorpool.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Our CLI makes ML model training effortless - just describe your job, and we handle GPU orchestration and execution at half the cost of major cloud providers.", "one_liner": "Vercel For GPUs", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1738629191, "tags": [ "AIOps", "Developer Tools", "SaaS", "DevOps", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Acquired", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tensorpool", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/tensorpool.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/105594641/", "x_url": "https://x.com/tensorpool", "fb_url": null, "cb_url": null, "github_url": "https://github.com/tensorpool/tensorpool", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/79bd0c6f85962c1282260ab60adb0462fdb87ec8.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": 2359695, "full_name": "Tycho Svoboda", "title": "Founder", "founder_bio": "Co-founder & CEO of Tensorpool. Ex-Blackstone, Stanford", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tycho-svoboda/", "x_url": "https://x.com/TychoSvoboda", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/71640aeaca285abc7a66cfc35382cb816fb97f60.jpg" }, { "user_id": 969804, "full_name": "Joshua Martinez", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO of TensorPool (W25)\nPreviously NVIDIA, Apple, Chan Zuckerberg Initiative\nStanford BS & MS in Computer Science + Statistics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joshkmartinez/", "x_url": "https://x.com/joshkmartinez", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c836606ceba2f01352bc677895c11d93dbd10733.jpg" }, { "user_id": 1709047, "full_name": "Hlumelo Notshe", "title": "Founder/CPO", "founder_bio": "Co-Founder & CPO of TensorPool\nEx-DeepMind & NextDoor\nStanford BS & MS in Computer Science + Mathematics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hlumelo-notshe", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4f64adb6ddd63e6cd1c2d5f8c9773281f1ced8d6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87792, "title": "TensorPool: the easiest way to use GPUs 🌊", "tagline": "With TensorPool, just describe your job and we handle all the GPU orchestration and execution at half the cost", "body": "Hi Everyone! We’re [Joshua](https://bookface.ycombinator.com/user/969804), [Hlumelo](https://bookface.ycombinator.com/user/1709047), and [Tycho](https://bookface.ycombinator.com/user/2359695) - cofounders of TensorPool!👋\n\n**TLDR;** Our CLI makes ML model training effortless - just describe your job, and we handle GPU orchestration and execution at half the cost of major cloud providers.\n\n[Get setup in 3 minutes](https://github.com/tensorpool/tensorpool)\n\nHere’s a quick demo of how easy it is to train ML models with TensorPool!\n\n[**TensorPool Demo -- Fine-Tuning DeepSeek**](https://youtu.be/RqqLIVzP780)\n\n# **Problem**\n\nSince high school, when we trained our first ML models, **accessing remote compute has always been a massive hurdle**. As the years went by and we moved further into academia/industry, a good solution never came. Whether it was AWS EC2’s absurd amount of configuration, or Google Colab’s inability to run jobs without your computer being on, nothing left us satisfied. We talked to our co-workers and friends and they all felt the same. We wanted using GPUs to be as easy as programming locally.\n\n# **Solution**\n\nWe got together and built a way to **access industry-scale compute from your IDE**. No more SSHing. No more massive data migrations. No more ML Ops headache. Just a simple CLI. \\[We also **cut your costs by 50%** which will be explained below :)\\]\n\n# **How It Works**\n\nTensorPool has 2 main advantages:\n\n1. **Ease of Use:** \n * **Don’t leave your IDE:** TensorPool deploys your code directly to GPUs and ships the results back, just as if you were developing locally. \n * **Intuitive CLI & Configuration:** With TensorPool you can run your job with a single command, kick off several experiments with different tp.config.toml configurations, and version control training jobs with your code.\n2. **Price Advantage**\n * **Multi-cloud integration:** We’ve developed technology to do a real time analysis of all available GPU cloud providers, and put your job on the cheapest one.\n * **Spot node resummation tech:** We’ve created a way to give users the price advantage of spot nodes with the reliability of on-demand instances. This leads to \\~50% savings!\n\n# **Our ask**\n\nWe’re currently giving away $5/week of **free compute** to early users, and would love for you all to **try us out**! Whether your start-up needs an ML infra upgrade or you love messing around with models in your free time – reach out to us we’d love to chat ([team@tensorpool.dev](mailto:team@tensorpool.dev))! You can find all the information to get started [on our GitHub](http://github.com/tensorpool/tensorpool) (**drop us a star while you’re there** 😊) or [our website](https://tensorpool.dev).\n\n**We would also love intros to enterprises** that you believe could benefit from cheaper / easier access to GPUs.\n\n# **Try TensorPool today!**\n\nBelow is a quick start:\n\nAfter completing [the prerequisites](https://github.com/tensorpool/tensorpool?tab=readme-ov-file#prerequisites), we create a “tp.config.toml” ([explained here](https://github.com/tensorpool/tensorpool?tab=readme-ov-file#configuration)), either manually with: \n\n```\ntp config new\n```\n\nOr auto-generate one with natural language: \n\n```\ntp config \n```\n\nTo then deploy and run your job – simply run:\n\n```\ntp run\n```\n\nand that’s it! Your model is training on cloud GPUs! \n\n# **About Us**\n\nJoshua, Tycho, and Hlumelo all met their freshman year at Stanford where they got placed on the same dorm floor. Since then, they’ve taken all their classes together and have worked at companies like Apple, Blackstone, DeepMind, Nextdoor, CZI, and PIMCO.", "url": "https://www.ycombinator.com/launches/Mq0-tensorpool-the-easiest-way-to-use-gpus", "votes": 697, "created_at": "2025-02-18T22:18:38.093Z" } ] }, { "id": 30366, "name": "Blaxel", "slug": "blaxel", "former_names": [ "Beamlit" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/daedc1e66e212180bb678c683cd4595f1c7cd149.png", "website": "https://blaxel.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Blaxel is the infrastructure foundation for autonomous agents.\r\n\r\nEngineered for the way agents actually run, Blaxel gives builders deep control over compute (sandboxes), storage (shared filesystem), and networking as built-in infra primitives.\r\n\r\nUnlike traditional sandboxes that expire or suffer from cold starts, our sandboxes automatically scale to zero after 1s of inactivity and resume in under 25ms with full memory state preserved — allowing you to keep millions of secure sandboxes on standby indefinitely.", "one_liner": "The infrastructure for autonomous agents", "team_size": 12, "industry": "B2B", "subindustry": "B2B", "launched_at": 1745276338, "tags": [ "Developer Tools", "Cloud Computing", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Acquired", "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/blaxel", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/blaxel.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/blaxel-ai", "x_url": "https://x.com/blaxelAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/blaxel-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/daedc1e66e212180bb678c683cd4595f1c7cd149.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": 2156675, "full_name": "Paul Sinaï", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO @ Blaxel - I'm a repeat entrepreneur; I founded two startups and sold the last one to the largest European cloud provider to become their analytics products suite. Currently, I'm working on an exciting project at Blaxel, where my team and I are focused on building the next generation of cloud for AI Agents. From the Infrastructure to the UX, we are redesigning the entire stack for the Agentic world.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/paul-sinai", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c42fc1b535157da171db617f8def74e699966dd2.jpg" }, { "user_id": 2458126, "full_name": "Charles Drappier", "title": "Founder", "founder_bio": "I'm a Co-founder & Developer at Blaxel, the AWS for AI Agents.\nI have 15 years of experience building cloud infrastructure products with a successful exit.\nAt Blaxel, we provide AI builders with the infrastructure they need to develop and scale intelligent agents efficiently.\nI'm focused on creating the essential technology backbone for the next generation of AI applications.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/charles-drappier-48017962/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dcb8f7bffdf5d4ddfc22287d07f8e56740bae7a4.jpg" }, { "user_id": 2458128, "full_name": "Mathis Joffre", "title": "Founder", "founder_bio": "I’m the co-founder and engineering lead at Blaxel, where I’m building the infrastructure layer for AI agents. My background spans cloud systems, microVMs, and distributed compute — from designing next-gen architectures at OVHcloud and developing tooling across large-scale network environments. I’m focused on creating an AI-native platform that makes deploying and scaling agentic applications simple, reliable, and accessible to every developer.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mathis-joffre-30992712a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a994928802dcdb5bf5e7448208abba1a2fd22f19.jpg" }, { "user_id": 2264960, "full_name": "Nicolas Lecomte", "title": "Founder", "founder_bio": "Building Blaxel, the cloud for your AI agents.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nicolas-lecomte-080317153/?locale=en_US", "x_url": "https://x.com/NicolasLec91112", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9d694e23f02fde3fc03c7bf36a07a04b5e434e7e.jpg" }, { "user_id": 2264607, "full_name": "Christophe Ploujoux", "title": "Founder/CTO", "founder_bio": "Addict software developper, with 8 years of experience at ForePaaS, where I contributed to launch a PaaS for Data and AI projects, I developed a deep understanding of building scalable platforms that empower innovation. \nThis experience inspired me to create Blaxel, an end-to-end platform for AI agents, aimed at simplifying the development, deployment and management of AI solutions for businesses. My passion lies in bridging complex technology with real-world applications, making advanced AI", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/christophe-ploujoux/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2fe3f4c8556189c150ab20e02a118d320c492d1a.jpg" } ], "jobs": [], "news": [ { "title": "Blaxel raises $7.3M seed round to build 'AWS for AI agents' after processing billions of agent requests | VentureBeat", "url": "https://venturebeat.com/ai/blaxel-raises-7-3m-seed-round-to-build-aws-for-ai-agents-after-processing-billions-of-agent-requests/", "date": "Jul 17, 2025" } ], "launches": [ { "id": 90942, "title": "Blaxel — AWS for AI agents", "tagline": "Powering the next trillion AI agents.", "body": "**tl;dr**: Yesterday’s cloud can’t power tomorrow’s AI. Blaxel is a cloud infrastructure built for AI agents. Our computing platform gives AI Builders tools, infra, and developer experience optimized to build and deploy agentic AI — with a twist: your agents can also take the wheel.\n\nhttps://www.youtube.com/watch?v=aISExQg14qg\n\n### Problem\n\nOur team of 6 co-founders previously built and sold a data platform to OVHcloud, which eventually became their entire Analytics product suite. What we saw during that time is that **the current world’s infrastructure** **wasn't built for the AI revolution that's coming**.\n\nTraditional clouds were built almost 20 years ago. Their architecture and service sprawl weren't designed for agentic workloads. Nor was the UX thought for the developers who build them.\n\nNot only that, but the economics don't make sense anymore. As AI agents become more autonomous, they're racking up huge bills from LLM calls, serverless tasks, and network bandwidth.\n\nIn the next decade, we're looking at billions or even trillons of AI agents coming online, each needing computing power, memory, and connectivity in every direction. The world’s current infrastructure isn't just unprepared, it's completely inadequate.\n\n### Solution **💡**\n\nWe're creating **a new kind of infrastructure**. One that's not only built to make agents, but also to be operated by them.\n\nBlaxel is a complete computing platform with all services designed and optimized for both AI Agents and their Developers — from the hardware to the user experience.\n\nWe offer two levels of APIs to give you full flexibility:\n\n**1-** Our **high-level platform** lets developers to fast-track deploying agents without reinventing the wheel:\n\n* Agent deployments as serverless autoscalable APIs — fully framework-agnostic\n* MCP servers hosting\n* AI gateway — with features like token rate limiting or model routing and fallbacks\n* Built-in observability\n* GitHub synchronization\n\n![uploaded image](/media/?type=post&id=90942&key=user_uploads/2264960/665aa3c9-5d63-4ce6-8c16-bbb6e2c6537e)\n\n**2-** Our flexible **low-level API** gives both builders and agents access to our core compute infrastructure to run agentic workloads fast and reliably:\n\n* Sandboxes with <25ms boot time — designed for agents to execute code or commands\n* Batch processing jobs\n* Headless browser VMs _(coming soon!)_\n* Programmable AI gateway _(coming soon!)_\n\n![uploaded image](/media/?type=post&id=90942&key=user_uploads/2264960/8e2c837d-f329-44b4-beec-0f80d75daa10)\n\nPioneering teams are already building the next wave of agents on Blaxel. Don't get left behind:\n\n* Email us: [founders@blaxel.ai](mailto:founders@blaxel.ai)\n* Book a demo: [blaxel.ai/contact](http://blaxel.ai/contact)", "url": "https://www.ycombinator.com/launches/Neo-blaxel-aws-for-ai-agents", "votes": 75, "created_at": "2025-06-02T15:53:06.496Z" } ] }, { "id": 30403, "name": "Aravolta", "slug": "aravolta", "former_names": [ "CentralAxis" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fef90b2fedf3b6bcd07d770648c6074b9717d2a0.png", "website": "https://www.aravolta.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Aravolta provides a single pane of glass software for data centers to increase uptime, reduce costs, and improve performance.\r\n\r\nA single utility node onboards every asset within an hour and detects hardware failures, hotspots, and other issues.\r\n\r\nIt also generates reports on important metrics like Power Usage Effectiveness (PUE), energy metering, resource utilization, and much more. ", "one_liner": "Software to monitor, control, and optimize data centers.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1746569409, "tags": [ "Enterprise Software", "Cloud Computing", "Monitoring" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "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/aravolta", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/aravolta.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/centralaxis", "x_url": "https://x.com/CentralAxis_X25", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fef90b2fedf3b6bcd07d770648c6074b9717d2a0.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": 1833246, "full_name": "Margarita Groisman", "title": "Founder/CEO", "founder_bio": "Worked on data center deployments at Microsoft, now my company Aravolta builds software for data centers. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/margarita-groisman/", "x_url": "https://x.com/Marg_Groisman", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5150584412ea3eb0182f8e63c266e0f281c95f7c.jpg" }, { "user_id": 2213346, "full_name": "Jack Sutton", "title": "Founder/CTO", "founder_bio": "Lifelong software engineer", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sutton-jack", "x_url": "https://x.com/JackSutton_SF", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8af4649e155b78aa37df060b30c652788ea65252.jpg" } ], "jobs": [ { "id": 76973, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/aravolta/jobs/5mXBTwN-senior-software-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "0.40%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Bash/Shell", "Node.js", "PostgreSQL", "TypeScript", "Next.js", "Tailwind" ] }, { "id": 80505, "title": "Intern", "url": "https://www.ycombinator.com/companies/aravolta/jobs/xNqAuCd-intern", "location": "San Francisco, CA, US / Remote (US)", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$4K - $15K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Node.js", "React", "TypeScript" ] }, { "id": 92973, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/aravolta/jobs/F5owCzV-forward-deployed-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $240K", "equity_range": "0.25% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 111389, "title": "Sales Development Representative", "url": "https://www.ycombinator.com/companies/aravolta/jobs/ySYYxBA-sales-development-representative", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80K - $200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30456, "name": "Tinfoil", "slug": "tinfoil", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1fb98a08722d6b4a90ad914611f5c3579c0f3558.png", "website": "https://tinfoil.sh", "all_locations": "San Francisco, CA, USA", "long_description": "Tinfoil makes it easy to make your AI workloads secure and provably private. You get the privacy of on-prem deployments, while running on the cloud. It's like end-to-end encrypted messaging but for your AI applications. \r\n\r\nWe’ve built a full-stack platform on top of the latest NVIDIA GPUs offering confidential computing capabilities, meaning that you don’t have to trade off performance for privacy. We integrate a suite of recent advances in secure hardware technologies, in particular NVIDIA’s confidential compute mode available on Hopper and Blackwell. When combined with Tinfoil’s software stack, companies can prove their security claims like \"we can't see and don’t log your queries.” Tinfoil guarantees that all data always stays private and cannot be accessed by anyone other than the end user -- not even by Tinfoil or the cloud provider it’s processed on. Everything can be made end-to-end encrypted and private with Tinfoil. \r\n\r\nThe founding team combines deep academic and industry experience in security and Internet protocols. Tanya was previously a systems engineer at Cloudflare, where she built Internet security protocols used by billions, and contributed to the Workers AI platform. Jules and Sacha hold PhDs from MIT, where they worked on secure hardware, cryptography, and privacy technologies. Jules has also worked at NVIDIA on their confidential computing team. Tinfoil was born from our personal frustration with the false choice between access to powerful AI and the massive data privacy implications of deeply integrated AI.\r\n\r\nAI is a universal tool that becomes part of our personal lives and business workflows. In the process, it needs access to all personal, private, and proprietary data. Right now, the only solutions are data processing agreements (i.e., \"pinky promises\"), band-aids like PII redaction that don't work in practice, or AI locally/on-prem, which doesn't scale. Tinfoil promises to unlock significantly deeper AI adoption and integrations by making it easy to obtain true privacy, just as TLS on the Internet enabled e-commerce to flourish by securing credit cards on the network.\r\n\r\nToday we offer several self-serve products: \r\n\r\n- A consumer-facing chatbot that keeps your chats end-to-end encrypted and provides zero-access inference with powerful open-source models like Kimi, Gemma, and GLM. You can try it out for free: https://chat.tinfoil.sh\r\n\r\n- A developer-friendly API that allows you to build AI applications where all user data is kept private and we as the inference provider cannot see any of the prompts. Our SDKs make sure that all relevant security measures are checked for you before even sending a single byte of data. Learn more:https://docs.tinfoil.sh \r\n\r\n- An advanced confidential computing platform we call Tinfoil Containers that allows you to secure any Docker application. We make it easy to deploy your own logic and applications inside secure enclaves and prove to the world what code is running inside. This enables attested workloads and publicly verifiable privacy policies for sensitive applications. Learn more: https://tinfoil.sh/containers ", "one_liner": "Encrypted AI with verifiable privacy", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1744845895, "tags": [ "Developer Tools", "Security", "Privacy", "Cloud Computing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "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/tinfoil", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/tinfoil.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/Tinfoil/", "x_url": "https://x.com/TinfoilAI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/tinfoil", "github_url": "https://github.com/tinfoilsh", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1fb98a08722d6b4a90ad914611f5c3579c0f3558.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": 1678261, "full_name": "Tanya Verma", "title": "Founder/CEO", "founder_bio": "Co-founder @ Tinfoil | Systems, Cryptography and AI @ Cloudflare | CubeSats & CS @ UIUC", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tanya-verma-130a23124/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/71e19f53dbd482777277fb5c1899f8ee0808a80f.jpg" }, { "user_id": 2554847, "full_name": "Jules Drean", "title": "Founder", "founder_bio": "Jules has an MIT PhD in secure hardware and confidential computing. He has industry experience working at Microsoft Research and NVIDIA on the technologies underlying Tinfoil. During his PhD, Jules has built secure enclaves from the ground up and studied how to attack and defend these systems against advance microarchitectural attacks. His work also looked at using trusted hardware to securely deploy advanced cryptographic primitives such as FHE and MPC.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jdrean", "x_url": "https://x.com/julesdrean", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6e2e2ad4734fda8e101f5d5cfb506c5944356a36.jpg" }, { "user_id": 2540941, "full_name": "Sacha Servan-Schreiber", "title": "Founder", "founder_bio": "Co-founder of Tinfoil | PhD at MIT in cryptography\n\nPersonal website: sachaservanschreiber.com ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sacha-servan-schreiber-308341305", "x_url": "https://x.com/sachaservan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/33096fdaf7641b0498b900f6e2b99c126f850834.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90590, "title": "Tinfoil: Verifiable Privacy for Cloud AI", "tagline": "We host models and AI workloads on the cloud while guaranteeing zero data access and retention", "body": "Sending your most sensitive or proprietary data to OpenAI et al?\n\nSick of deals getting stalled during enterprise or government security reviews?\n\nHate deploying on various configurations of on-prem infrastructure environments?\n\nSay less ✋\n\nWe’re [Tanya](https://www.linkedin.com/in/tanya-verma-130a23124/), [Jules](https://www.linkedin.com/in/jdrean/), [Sacha](https://www.linkedin.com/in/sacha-servan-schreiber-308341305/) and [Nate](https://www.linkedin.com/in/nate-sales/) from[ Tinfoil](https://tinfoil.sh/). What we’re building at Tinfoil sidesteps these concerns because we can host models while guaranteeing zero data access and retention.\n\nWe let you run powerful models like Llama, Deepseek R1 on cloud GPUs without you having to trust us – or the cloud provider – with your private data.\n\nSince AI performs better the more context you give it, we think solving AI privacy will unlock more valuable AI applications, just how TLS on the Internet enabled e-commerce to flourish knowing that your credit card info wouldn't be stolen by someone sniffing internet packets.\n\nhttps://youtu.be/wnwI22qT-QQ\n\n**Who we are**\n\nWe come from backgrounds in cryptography, security, and infrastructure. Jules did his PhD in trusted hardware and confidential computing at MIT, and worked with NVIDIA and Microsoft Research on the same, Sacha did his PhD in privacy-preserving cryptography at MIT, Nate worked on privacy tech like Tor, and I (Tanya) was on Cloudflare's cryptography team.\n\n We were unsatisfied with band-aid techniques like PII redaction (which is actually undesirable in some cases like AI personal assistants) or “pinky promise” security through legal contracts like DPAs. We wanted a real solution that replaced trust with provable security, and addressed our personal frustration with the false choice between exploring cutting-edge AI capabilities and personal privacy.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcicUJrVGkJrvHFqW2CaNEpGzvSfbjySaAR3k-Q8fbf56JtXg8xAJa5MJrYn-RIdJjFirmZ4khWay_UpV6WhnZKZEE9ApI5HX97jRKGw4mJOTblXrujRY_9xcCvGPL139p2QaKd1g?key=xi6EV3GMAYXvlmorGP948w)\n\n**The magic sauce**\n\nRunning models locally or on-prem is an option, but can be expensive and inconvenient. Fully Homomorphic Encryption (FHE) is not practical for LLM inference for the foreseeable future. The next best option is using secure enclaves: a secure environment on the chip that no other software running on the host machine can access. This lets us perform LLM inference in the cloud while being able to prove that no one, not even Tinfoil or the cloud provider, can access the data. And because these security mechanisms are implemented in hardware, there is minimal performance overhead.\n\nUp until recently, secure enclaves were only available on CPUs. But NVIDIA confidential computing recently added these hardware-based capabilities to their latest GPUs, making it possible to run GPU-based workloads in a secure enclave.\n\nBelieve it when you see it, but Tinfoil has negligible performance overhead despite the strong security & privacy guarantees.\n\n**Getting Started**\n\n**The best part is you can start using confidential AI chat and inference with Tinfoil today!**\n\n**Try our private chat: [tinfoil.sh/chat](http://tinfoil.sh/chat).**\n\n[**https://www.youtube.com/watch?v=FuFszT0_vXk**](https://www.youtube.com/watch?v=FuFszT0_vXk)\n\n**Build with our API:** Drop-in replacement for the OpenAI chat-completions API with Tinfoil\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfBq_bx4bvZAzdB9BTzMg9KSE8UB2bKQO5uqfF5eoZkEWZFUtlbFnZpeD-m_PwaCVgUWftTt3QDLTW-r84u2dvUEGQ0ddbbQuq082ClI48l2cY4jWX-kWG1G6ZfwjNh8GN-EdAVJg?key=xi6EV3GMAYXvlmorGP948w)\n\nWe support several popular open source models like Deepseek R1 70B, Llama3.3 70B, Mistral 3.1 24B. Missing your favorite model? Just ask us to add it!\n\nTry out our free version running Llama3.3 70B in [Colab](https://colab.research.google.com/drive/1DhpUSmSWjxERnEo3U0qyAyApfcdIhvMv?usp=sharing).\n\nSee how Nate psychoanalyzes himself by sending all his iMessage chats to Tinfoil!\n\nhttps://www.loom.com/share/2381c02ba51043528c6d3bdf61270bc0?sid=9ea0e955-ae68-4ce4-9c86-d06cab18d25c\n\n**Deploy your AI Application**: Make your AI application enterprise-ready in a matter of minutes. Here's a demo of how you can use Tinfoil to run a deepfake detection service that could run securely on people's private videos:\n\nhttps://www.youtube.com/watch?v=_8hLmqoutyk\n\nWe encourage you to be skeptical of our privacy claims. Verifiability is our answer. It’s not just us _saying_ it’s private; the hardware and cryptography let _you_ check. Here’s a guide that walks you through the verification process:[ ](https://docs.tinfoil.sh/verify)https://docs.tinfoil.sh/verification/attestation-architecture.\n\n**The Ask**\n\nIf you think this sounds interesting, or too good to be true, contact us at [**founders@tinfoil.sh**](mailto:founders@tinfoil.sh)**!**\n\nWe’d love to hear from you, whether you’re a:\n\n* startup looking to sell into regulated industries\n* government agency that does everything on-prem but doesn’t trust your AI team to handle sensitive data\n* neocloud trying to secure enterprise customers in regulated industries that don’t migrate from the big clouds to you\n* company providing your employees dead-simple confidential LLM chat app\n\nYou can also learn more on our [**blog**](https://tinfoil.sh/blog), and subscribe to our [**LinkedIn**](https://www.linkedin.com/company/tinfoil/) and [**Twitter**](https://x.com/TinfoilAI) to follow updates!", "url": "https://www.ycombinator.com/launches/NZ8-tinfoil-verifiable-privacy-for-cloud-ai", "votes": 44, "created_at": "2025-05-21T14:22:18.121Z" } ] }, { "id": 30605, "name": "Dedalus Labs", "slug": "dedalus-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7090c5a2d73a4c3057030995d02dc87abae964a5.png", "website": "https://www.dedaluslabs.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Dedalus Labs builds persistent compute for AI agents. Our flagship product, Dedalus Machines, gives agents isolated computers where they can run software, keep files and state, and do useful work over time.\r\n\r\nWe build across virtualization, distributed storage, networking, scheduling, and orchestration. Our goal is to make persistent compute dependable and straightforward to use through APIs and developer tools, so developers can build agents that work with real software and maintain a working environment across sessions.", "one_liner": "Persistent computers for AI agents", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1756399069, "tags": [ "Developer Tools", "DevOps", "Cloud Computing", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "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/dedalus-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/dedalus-labs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dedalus-labs", "x_url": "https://x.com/dedaluslabs", "fb_url": "https://www.facebook.com/dedaluslabs", "cb_url": "https://www.crunchbase.com/organization/dedalus-labs", "github_url": "https://github.com/dedalus-labs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7090c5a2d73a4c3057030995d02dc87abae964a5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/54c7bc34d7f644f26f4d2fb8aea33cfc23d4684b.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/16c9af42d9adfb160dd3a15005b124edb50fd1fc.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2684979, "full_name": "Cathy Di", "title": "Founder/CEO", "founder_bio": "Let us build the wings\n so your agents can fly 🪽", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cathydi", "x_url": "https://x.com/itsCathyDi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e6105f830d0c2b1243019fb14c0f57b4130c8298.jpg" }, { "user_id": 1126811, "full_name": "Windsor Nguyen", "title": "Founder/CTO", "founder_bio": "Moving electrons really fast.", "is_active": true, "linkedin_url": "https://linkedin.com/in/windsornguyen", "x_url": "https://x.com/WindsorNguyen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5dc47e2245af96f7a157a8480c9a6f536a01ab2e.jpg" } ], "jobs": [ { "id": 107466, "title": "Systems Engineer", "url": "https://www.ycombinator.com/companies/dedalus-labs/jobs/694An25-systems-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $250K", "equity_range": "0.50% - 1.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 107469, "title": "Infrastructure Engineer Intern", "url": "https://www.ycombinator.com/companies/dedalus-labs/jobs/012beI1-infrastructure-engineer-intern", "location": "San Francisco", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$7.8K - $8.67K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 107661, "title": "Systems Engineer Intern", "url": "https://www.ycombinator.com/companies/dedalus-labs/jobs/EQcMolJ-systems-engineer-intern", "location": "San Francisco", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$7.8K - $8.67K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 112907, "title": "Software Engineer, Infrastructure & Performance", "url": "https://www.ycombinator.com/companies/dedalus-labs/jobs/KSsPCqY-software-engineer-infrastructure-performance", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] } ], "news": [ { "title": "Amid the AI boom, Princetonians swap school for Silicon Valley - The Princetonian", "url": "https://www.dailyprincetonian.com/article/2026/04/princeton-features-profiles-dropout-school-startups-silicon-valley-ai-boom", "date": "Apr 10, 2026" }, { "title": "Disrupting Industries: Highlights from the Latest YC Demo Day", "url": "https://nextunicorn.ventures/disrupting-industries-highlights-from-the-latest-yc-demo-day/", "date": "Sep 15, 2025" }, { "title": "Y Combinator's Summer 2025 Demo Day Highlights Over 160 Startups with a Focus on AI Solutions", "url": "https://news.ssbcrack.com/y-combinators-summer-2025-demo-day-highlights-over-160-startups-with-a-focus-on-ai-solutions/", "date": "Sep 15, 2025" }, { "title": "The 9 most sought-after startups from YC Demo Day | TechCrunch", "url": "https://techcrunch.com/2025/09/15/the-9-most-sought-after-startups-from-yc-demo-day/", "date": "Sep 14, 2025" }, { "title": "Dedalus Labs Review: Is This The “Vercel for AI Agents” We’ve Been Waiting For?", "url": "https://medium.com/design-bootcamp/dedalus-labs-review-is-this-the-vercel-for-ai-agents-weve-been-waiting-for-d52e764f3756", "date": "Aug 28, 2025" } ], "launches": [ { "id": 94675, "title": "Dedalus Labs: Build & Deploy Complex Agents in 5 Lines of Code", "tagline": "Build and deploy complex AI agents with any model and any tool in just 5 lines of code. No Docker files. No YAMLs. No wasted weeks.", "body": "# [**TL;DR:**](https://www.youtube.com/watch?v=E0FR4LBTSZo)\n\n_We’re excited to launch [Dedalus Labs](https://www.dedaluslabs.ai/), an AI-native cloud platform for developers to build agentic AI applications. Our [SDKs](https://github.com/dedalus-labs/dedalus-sdk-python) allows you to connect any LLM to any MCP servers – local or remotely hosted by us. No Docker files or YAML configs required._\n\n* **Blog:** https://dedaluslabs.ai/blog/dedalus-seed-round\n* **Product Demos:**\n * https://www.youtube.com/watch?v=s2khf1Monho\n * https://www.youtube.com/watch?v=4B1xuRCgLgA\n\n# **The Problem: Building Agents Is Hard**\n\nBuilding tool-using agents ≠ calling **_v1/chat/completions._**\n\nToday, developers are still stuck with:\n\n* Running their MCP servers locally.\n* If deploying remotely, wiring up AWS and config hell.\n* Juggling model quirks, streaming issues, and auth across GPT-4o, Claude 3.5, Sonnet, Flash, etc. (♾️ API keys).\n* Rebuilding everything just to add a new tool.\n\nWe were **_tired_** of writing hundreds of lines of code and battling Docker files and infra—all for a spaghetti agent that breaks under stress.\n\n**So, we built the tool we wished existed.**\n\n# **What We Offer: Complex Agents in 5 Lines of Code**\n\nDedalus invented the simplest way to build and deploy agents—a drop-in infrastructure layer that unifies models, tools, and orchestration.\n\nOur open-source SDK supports:\n\n* Vendor-agnostic model handoffs\n* Chaining both local tools and hosted MCPs\n* Real-time streaming across any provider\n\n—all in 5 lines of code.\n\nAnd our managed infra lets you **deploy an MCP server in 3 clicks**, so anyone can equip their agent with tools. No Docker files, no setup.\n\n# **Why MCP: Tools Made for Agents**\n\n[MCP (Model Context Protocol)](https://spec.modelcontextprotocol.io/) is becoming the standard for how models talk to tools. Think of it as an API that AI models already know how to call—reliable, predictable, and language-agnostic.\n\nAs more companies adopt MCP, exposing your product as an MCP server means you’re not just serving humans anymore—you’re serving _agents._\n\nWe’re building the infrastructure that powers that shift.\n\n# **Our Story: Two Princeton CS Students with High Standards**\n\nWe’re **Cathy** (ex-Voyage AI / Salesforce) and **Windsor** (ex-DeepMind / Sentient AGI).\n\nWe first ran into this problem while working with MCP during Windsor’s time at Sentient AGI. Every solution felt wrong: drag-and-drop GUIs, brittle configs, frameworks that broke under real workloads. Nothing met our standards for what good developer infrastructure should be.\n\nSo we built what we always wanted—a developer-first platform that makes agentic workflows composable, scalable, and effortless to ship.\n\n**If no one else is going to build it right, we will.**\n\n# **Get Started + Early YC Deal**\n\n* **Quick install:** **_pip install dedalus-labs_**\n* **Docs:** [docs.dedaluslabs.ai](http://docs.dedaluslabs.ai)\n* **YC Deal:** we’re giving $200 free credits to every YC company. Email [founders@dedaluslabs.ai](mailto:founders@dedaluslabs.ai) to claim your deal!\n\n![uploaded image](/media/?type=post&id=94675&key=user_uploads/1126811/4a1b700a-a1ab-41a3-a730-7b9a88b65500)\n\n_Let us build your wings_ so your agents can fly. 🪽", "url": "https://www.ycombinator.com/launches/Od1-dedalus-labs-build-deploy-complex-agents-in-5-lines-of-code", "votes": 23, "created_at": "2025-10-15T18:10:39.053Z" } ] }, { "id": 30649, "name": "Lilac", "slug": "lilac", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/18234851431f8da18d1f087abc867a57412f1a97.png", "website": "https://getlilac.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Lilac sells flexible GPU contracts and runs the software layer on top: monitoring, bare-metal provisioning, and managed Kubernetes and Slurm. We also run this layer for GPU cloud providers as their named operations and support partner.", "one_liner": "We sell GPUs.", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1754345371, "tags": [ "Machine Learning", "Cloud Computing", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lilac", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/lilac.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/get-lilac", "x_url": "https://x.com/LilacML", "fb_url": null, "cb_url": null, "github_url": "https://github.com/getlilac", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/18234851431f8da18d1f087abc867a57412f1a97.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/73/1757438550-c9621df37029cc122bc2415a49351917/9eadda8ada622d88427020d698f25df7.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022728Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=9aaaa0453d588f17ec05b77f091b5d1a5603a8b5cf39b20595f6f0bb5ada7d38", "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e53628ce1b948c6a0fdc6aa376c679c34368c258.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2382454, "full_name": "Lucas Ewing", "title": "Founder/CEO", "founder_bio": "I'm Lucas, born and raised in Stockholm Sweden, and moved to the US for High School and College (Harvey Mudd '23!)\n\nWorking on democratizing GPUs!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucasboewing/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4052bd2e866b8460ca058a8fff43ad5c446f355c.jpg" }, { "user_id": 2356063, "full_name": "Ryan Ewing", "title": "Founder", "founder_bio": "I'm Ryan, a software engineer with a background in building cloud and networking services at AWS.\n\nCurrently working on Lilac, a spot GPU marketplace that leverages idle GPUs in data centers and on-prem clusters.\n\nwww.getlilac.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rjewing/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bb13aa0cdc322cde8ee75db007c6ad439670d73c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92724, "title": "Lilac - We find you GPUs!", "tagline": "Lilac! The open-source tool that ensures your data scientists always have GPUs", "body": "💬 **TL;DR Lilac is an open-source tool that ensures your data scientists always have enough GPUs for their work. We seamlessly connect compute from any source, on-prem or cloud. [Check out our GitHub!](https://github.com/getlilac/lilac)**\n\n![uploaded image](/media/?type=post&id=92724&key=user_uploads/2382454/b1a41fba-535e-4392-9526-f97e72771387)\n\n❗**The Problem: The GPU Scramble is Slowing Down AI Innovation**\n\nAsk any data scientist and they will likely tell you their biggest frustration is finding GPUs. One team we talked to is spending $7 million dollars a year with a service provider to guarantee GPUs, yet they were still running out. This forces data science and infrastructure teams into a difficult position:\n\n* **Wasted Time:** Data scientists waste hours hunting for available GPUs across different clouds and on-premise servers, distracting them from building models.\n* **Spiraling Costs & Security Risks:** Infrastructure teams lose visibility as desperate data scientists use personal keys on unmanaged instances, leading to security gaps and unpredictable cloud bills.\n* **Slowed Innovation:** The result is a direct trade-off between innovation speed and engineering best practices. Companies either accept a slow model development lifecycle or pay millions for dedicated GPU contracts in a single cloud, losing flexibility.\n\n🏆 **The Solution: Unify Your Compute, Unleash Your Data Scientists**\n\nLilac is an open-source platform that transforms your scattered, multi-cloud, and on-premise GPU resources into a single, unified compute fabric.\n\nInstead of hunting for servers, your data scientists simply submit their training jobs to Lilac. Our intelligent scheduler handles the rest—finding the first available GPU that meets the job's requirements, allocating it, and running the job.\n\n**The Result:**\n\n* **For Data Scientists:** Maximum productivity. They can focus on building models, not managing infrastructure.\n* **For Infrastructure Teams:** Centralized control. Gain full visibility, enforce security policies, and manage costs across your entire fleet of compute resources.\n\nLilac bridges the gap between R&D and infrastructure, turning GPU scarcity into a streamlined, efficient workflow.\n\nHere’s an introduction and example of how it works:\n\n[**https://www.youtube.com/watch?v=n8Ye-8YS0I4&ab_channel=Lilac**](https://www.youtube.com/watch?v=n8Ye-8YS0I4&ab_channel=Lilac)\\\n\\\n🥇 **About Us**\n\nWe're a team of two brothers, [**@Ryan Ewing**](https://bookface.ycombinator.com/user/2356063) and [**@Lucas Ewing**](https://bookface.ycombinator.com/user/2382454), who have spent our careers building the infrastructure that powers the modern web. With experience scaling enterprise infrastructure at **AWS** and building end-to-end data platforms at **Webflow**, we've seen firsthand how critical, and how broken, the tooling for AI development is. We believe the rapid acceleration of AI requires a fundamental rethinking of the infrastructure stack, and we built Lilac to be the foundation of that new ecosystem.\\\n\\\n⭐ **Our Ask**\n\nWe are thrilled to announce that Lilac is now open-source with the release of **v0.1.0**!\n\n* **Check out our GitHub:** [**github.com/getlilac/lilac**](https://github.com/getlilac/lilac)\n* **Try it out:** Star the repo, try the quick start, and give us your feedback. We welcome all contributions, from bug reports to feature requests.\n* **Get in touch:** If the problem we're solving resonates with your company, we'd love to connect. Reach out at [**contact@getlilac.com**](mailto:contact@getlilac.com), [**schedule a 15-minute chat**](https://calendly.com/lucas-getlilac/15-minute-meeting) with us, or checkout our [**website**](https://getlilac.com/).", "url": "https://www.ycombinator.com/launches/O7Y-lilac-we-find-you-gpus", "votes": 23, "created_at": "2025-08-04T22:34:11.492Z" } ] }, { "id": 30762, "name": "KERNEL", "slug": "kernel", "former_names": [ "Kernel" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0b651ae4215e55c6eec3b366c18c9dcdd7838a97.png", "website": "https://www.kernel.sh", "all_locations": "San Francisco, CA, USA", "long_description": "Kernel is crazy fast, open source infra for AI agents to access the internet 🧠🕸️\r\n- Built on unikernels for crazy fast cold starts and low resource usage\r\n- Sub-150ms cold starts on managed headful browsers\r\n- Built-in stealth mode with residential proxies and automatic CAPTCHA solving\r\n- Full observability: session recording, live view, and full logs\r\n- Persistent sessions that maintain cookies and auth across invocations\r\n- Native support for all browser and computer use frameworks\r\n- SOC 2 compliant and HIPAA-ready\r\n\r\nTrusted by Cash App, Rye, and 1000+ others. Backed by Accel & Y Combinator (S25).", "one_liner": "Crazy fast, open source infra for AI agents to use the Internet", "team_size": 22, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1753229701, "tags": [ "Developer Tools", "Cloud Computing", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kernel", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/kernel.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trykernel", "x_url": "https://x.com/usekernel", "fb_url": null, "cb_url": null, "github_url": "https://github.com/onkernel", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0b651ae4215e55c6eec3b366c18c9dcdd7838a97.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": 101761, "full_name": "Catherine Jue", "title": "Founder/CEO", "founder_bio": "Co-Founder and CEO @ Kernel. Previously co-founder @ Sway Finance (S16)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/juecd", "x_url": "https://twitter.com/juecd__", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/76b95b6560f6faac427383c9b5fe708d1421927d.jpg" }, { "user_id": 26604, "full_name": "Rafael Garcia", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at Kernel. We're making browser infra fast.\n\nPreviously co-founder and CTO at Clever (S12, exited for $500m).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rafgarcia/", "x_url": "https://twitter.com/rfgarcia", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/70c4b460440085cf060e26d5a87677498f80b80b.jpg" } ], "jobs": [], "news": [ { "title": "We’ve raised $22m to scale our browser infrastructure platform for AI agents", "url": "https://blog.onkernel.com/series-a-announcement/", "date": "Oct 09, 2025" } ], "launches": [ { "id": 92607, "title": "Kernel: Crazy Fast Browser Infrastructure", "tagline": "Browsers-as-a-service for web automations and AI agents", "body": "Hey everyone! We’re Catherine and Raf, the founders of Kernel.\n\nhttps://youtu.be/vexAn3_KYvc\n\n# **🤝 TLDR:**\n\nWe make an API to instantly launch browsers in the cloud so AI can use the internet just like humans do.\n\n# **🚀 What’s Kernel?**\n\nKernel is the best place in the world to launch web agents and browser automations. We handle the hard parts of running browser infrastructure in the cloud so you don’t have to: spinning up browsers quickly, responsive read/write live view, logs, headless vs. headful mode, residential proxies, and more.\n\nOur edge is an infrastructure platform that’s **flexible, observable, and insanely fast** from day one:\n\n* **Performance** - web automations and Computer Use agents can launch and connect to Kernel browsers in 300 milliseconds\n* **Isolation x telemetry** - Kernel browsers run in isolated virtual machines and ship with live views & replays so you can see exactly what your agent saw and take control when needed\n* **Agent runtime** - launch your web agent on Kernel’s code execution platform to seamlessly connect it to a browser in the cloud\n* **Simple, clear pricing** - pay only for the resources you use. Our straightforward pricing model makes it easy to predict usage costs\n\n![uploaded image](/media/?type=post&id=92607&key=user_uploads/101761/f06a340f-9752-48c9-a20a-f952e18c403e)\n\n# **⚡️ How does it work?**\n\nKernel’s API makes it simple to launch browsers in the cloud and automate anything on the internet. **We work with any browser/web agent framework**: **Playwright, Puppeteer, Browser Use, Magnitude, and more.** Users love our platform for:\n\n* Instant **browser spin-ups** on-demand\n* **VM logs & read/write live view**\n* Video **replays**\n* **Browser session** reuse\n* **Residential proxies** and auto-CAPTCHA solvers\n* **Turn any agent into a https endpoint** — we host your agent, you invoke it on-demand with a prompt\n* & much more soon!\n\n# **👨‍💻👩‍💻 The Team**\n\nRaf and Catherine started Kernel from the shared belief that cloud infrastructure can be 100x better. We believe that well-designed, opinionated tooling unlocks superpowers, and we’re passionate about building best-in-class infrastructure for the next generation of AI applications.\n\nBefore starting Kernel, Raf was the co-founder/CTO of Clever (YC S12), which exited for $500m in 2021. Catherine was the co-founder of Sway Finance (YC S16) and most recently led Cash App’s team of forward deployed engineers and Cash App’s docs platform.\n\n# **🙏 Our Ask**\n\nIf you:\n\n* Run **browser automations**\n* **Built a web agent locally** and want to run it in production\n* Maintain **browser containers** but want to outsource the infrastructure because it’s not core to your IP\n\nCheck out [our platform](https://www.onkernel.com/) to sign-up, or schedule a demo with us [here](https://calendly.com/d/cwr7-xxq-m45).\n\n![uploaded image](/media/?type=post&id=92607&key=user_uploads/101761/bdc37fff-37ff-4eea-8a25-8bb544e1ba51)\n\n", "url": "https://www.ycombinator.com/launches/O5f-kernel-crazy-fast-browser-infrastructure", "votes": 34, "created_at": "2025-07-31T16:55:43.448Z" } ] }, { "id": 30804, "name": "Luminal", "slug": "luminal", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/200fe1fa3e40bd9aed419582490f17ed6cf00c37.png", "website": "https://luminal.com", "all_locations": "San Francisco, CA, USA", "long_description": "Luminal builds an ML framework and compiler that generates GPU code.\r\nOur stack 10x's model speed while simplifying deployment and cutting idle GPU costs\r\n\r\nGithub: https://github.com/luminal-ai/luminal\r\nDiscord: https://discord.gg/APjuwHAbGy", "one_liner": "Making AI run fast on any hardware.", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1752295982, "tags": [ "AIOps", "Developer Tools", "Cloud Computing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Most people running their own AI models are lighting money on fire and don’t even know it. The rush to get to market first means nearly every AI company is leaving thousands of dollars on the table every MONTH by not optimizing their models. That’s why we made Luminal.\r\n\r\nIf you want your team spending more time making the world’s best models and less time optimizing hardware and cloud infrastructure, we’re for you!" }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "At Luminal, we’re taking a bold swing at redefining how machine learning engineers interact with the core compute layer powering AI. When we succeed, the world’s intelligence stacks will be faster, simpler, and more robust. The hardware is ready for AI performance, the low-level code is not.\r\n\r\nSolving the software layer destroys NVIDIA’s moat and democratizes compute for AI" } ], "url": "https://www.ycombinator.com/companies/luminal", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/luminal.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/luminalai", "x_url": "https://x.com/luminal_ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/luminal-ai/luminal", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/200fe1fa3e40bd9aed419582490f17ed6cf00c37.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/73/1757458252-72779f72997f54317b8c01694f81904a/3f224a54c068a1a328bad1346d270df1.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022731Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=baa04fa440a7a89278a425e5d379c70e68fcc86cdadb2696474ed7dae2cc989c", "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/afe07b7cdad741133663ccd98ae75b789d6181ec.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4246eb727ea8c653fa0d76f735c92584d36369c7.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1374217, "full_name": "Joe Fioti", "title": "Founder/CEO", "founder_bio": "Generating GPU kernels automatically to speed up ML models. Ex-Intel, worked on CPU microcode and ML accelerators.", "is_active": true, "linkedin_url": "https://linkedin.com/in/joe-fioti-24a986189", "x_url": "https://x.com/joefioti", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0583e75ba29d754c8f1ed1c3827cf290ad883aae.jpg" }, { "user_id": 1927303, "full_name": "Matthew Gunton", "title": "Founder/CTO", "founder_bio": "Co-founder at Luminal AI. Ex-Amazon engineer, with globally deployed projects automatically finding issues in the Amazon fulfillment network and cost effectively fixing them", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matthewjgunton/", "x_url": "https://x.com/matthewjgunton", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/15de4b81bdb4fc504eb3cf421a355e8a3e6a6d8e.jpg" }, { "user_id": 427411, "full_name": "Jake Stevens", "title": "Founder", "founder_bio": "Cofounder at Luminal: generating GPU kernels automatically to speed up ML models. Ex-Apple. Talk to me about donuts or compilers or both :)", "is_active": true, "linkedin_url": "https://linkedin.com/in/jake-stevens-", "x_url": "https://x.com/stake_jevens", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b4844719d9e9c9bd7f7cd8d3f02862f691340f0d.jpg" } ], "jobs": [ { "id": 80694, "title": "Compiler Engineer", "url": "https://www.ycombinator.com/companies/luminal/jobs/GAXg6qE-compiler-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "0.15% - 0.75%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Rust", "CUDA" ] }, { "id": 83575, "title": "Cloud Inference Engineer", "url": "https://www.ycombinator.com/companies/luminal/jobs/J87U2SS-cloud-inference-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "0.15% - 0.75%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Torch/PyTorch", "CUDA" ] }, { "id": 94688, "title": "Senior Compiler Engineer", "url": "https://www.ycombinator.com/companies/luminal/jobs/7Bgke65-senior-compiler-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$200K - $350K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "SASS", "CUDA" ] } ], "news": [ { "title": "Luminal raises $5.3 million to build a better GPU code framework | TechCrunch", "url": "https://techcrunch.com/2025/11/17/luminal-raises-5-3-million-to-build-a-better-gpu-code-framework/", "date": "Nov 17, 2025" } ], "launches": [ { "id": 92298, "title": "Luminal - PyTorch for Production", "tagline": "Luminal automatically speeds up and deploys your PyTorch models", "body": "Hey we’re Joe, Jake, and Matthew, cofounders of Luminal. \n\nLuminal is an [open-source](https://github.com/jafioti/luminal) ML compiler that generates blazingly fast CUDA kernels and makes deploying AI to production one line of code. We’re already powering research at Yale, production workloads at VC-backed startups and several research labs.\n\nhttps://youtu.be/Rgo15NY9K-8\n\n**TLDR:**\n\n* Our drop-in upgrade to PyTorch automatically generates complex GPU kernel code, like Flash Attention, with zero hand-engineering\n* We provide truly serverless deployments; no idle costs or cold starts.\n* By not relying on pretrained LLMs or hand-written optimizations, we can reliably speed up any model\n\n**Ask:**\n\n* [Book a meeting](https://calendly.com/accounts-luminalai/30min) if you write PyTorch and want your models to run fast\n* [Star us on github](https://github.com/jafioti/luminal) and try Luminal right now on your own laptop!\n* Email us if you know someone who runs custom models: [contact@luminalai.com](https://mailto:contact@luminalai.com)\n\n—\n\n### **The problem:**\n\nMost people running their own AI models are lighting money on fire and don’t even know it. AI teams are frustrated when moving their model from dev to production. They either fall into dependency hell or kill their model’s speed. Today, **companies waste millions of dollars on GPU engineering** teams to optimize new models before they can be served to users.\\\n—\n\n### **How Luminal solves it:**\n\n**Luminal replaces a process that companies pay GPU engineers $300k+ a year to do.**\n\nOur key insight is that by treating optimization as a search problem, we’re able to automatically discover extremely complex optimizations in minutes that would take a GPU expert weeks. We use a series of ‘rewrite rules’ to create millions of graphs to describe your model, generate kernel code for each and then search for the fastest one based on runtime.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfNzLo_zAkiYY_fsEQMseEQZXpdFjn0chhSJ8Wn-0WOkSHGblAi1XseXLIbZsiim6z8_AiWxx6wuzTuCQYfNe2ELulijuOBR5b_1x4-kzEoxEoxutW0qv127MHbl1Lu6YLIJBfP_A?key=gRJ545K4hfVVtN0eX-o_ZQ)\n\n_Example of a complicated kernel on the left that Luminal automatically sped up, on the right._\n\nLuminal is:\n\n1. **Closing the research → engineering gap.** Because we auto-generate optimized GPU code directly from your PyTorch, a brand-new model can go from research notebook to production in hours instead of weeks\n2. **Writing blazing fast models.** Luminal generates kernels that would take a seasoned GPU engineer weeks of painstaking profiling and tuning to write.\n3. **Future-proofing AI for new chips**. We can rerun our compiler on fresh hardware to get new optimal kernels so you're never out of date.\n\n—\n\n### **You should reach out if:**\n\n* You’re an AI researcher or ML engineer\n* You’d like to lower your compute bill by **tens of thousands of dollars a month**\n* You work at a company that runs their own **custom models**\n\nIf you want your team spending more time making the world’s best models and less time optimizing hardware and cloud infrastructure, we’re for you!\n\n—\n\n### **The Team:**\n\n[Joe](https://www.linkedin.com/in/joe-fioti-24a986189/) - ex Intel, every Intel chip sold has the AI accelerator Joe worked on. He has extensive experience optimizing performance at the silicon level.\n\n[Matt](https://www.linkedin.com/in/matthewjgunton/) - ex Amazon where his software handled finding and automatically fixing issues within the global inventory network 24/7\n\n[Jake](https://www.linkedin.com/in/jake-stevens-/) - ex Apple Jake worked on imaging at Apple for your iPhone. He’s been a founder (with an exit) and head of growth at another startup that he grew to \\~$5M ARR.\n\nSend us an email: [contact@luminalai.com](https://mailto:contact@luminalai.com)\n\n[Book a call with us](https://calendly.com/accounts-luminalai/30min)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXd1hRLOasxYQ38r0AmMN9fTC9-BatUjGjE9-BXM21-w8PRvhBJVeYAc3pWlLPVlmTtnP3jG9Pa5HmUIGTYaZ93ClC-M-CRx0nkNw-DgS3Wh28xWXaUzXVwL_XPCNUL8JyTd_9FmBA?key=gRJ545K4hfVVtN0eX-o_ZQ)\n\n", "url": "https://www.ycombinator.com/launches/O0g-luminal-pytorch-for-production", "votes": 127, "created_at": "2025-07-20T17:12:19.542Z" } ] }, { "id": 31458, "name": "Reason Machines", "slug": "reason-machines", "former_names": [ "EasyClaw", "Ara" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ac8d1fbd9622030ddfab1cc9a6fac1907350004f.png", "website": "https://reasonmachines.com", "all_locations": "San Francisco, CA, USA", "long_description": "Reason Machines builds Reason Agent, the autonomous software engineer for engineering teams. Reason connects to GitHub, reproduces bugs, writes code, passes tests, and ships review-ready pull requests with recordings and logs across cloud environments.", "one_liner": "Reason Machines builds Reason Agent, the autonomous software engineer…", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1775160352, "tags": [ "Developer Tools", "Enterprise Software", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "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": null, "url": "https://www.ycombinator.com/companies/reason-machines", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/reason-machines.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/reasonmachines", "x_url": "https://x.com/reasonmachines", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ac8d1fbd9622030ddfab1cc9a6fac1907350004f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e6483df4542e8fec3bc050b1bc1cf0562df4b238.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8caf159fde370af7bbd020dd2a597856e67f6aa5.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1868530, "full_name": "Adi Singh", "title": "Founder/CEO", "founder_bio": "co-founder & ceo @ Reason Machines\nEECS @ UC Berkeley, Cybernetics NTNU\nPrev built a rust based IDE from scratch\n21\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adisinghlink", "x_url": "https://x.com/xadisingh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/39dc609171f30d0579beff3ad7feda1e12ddde45.jpg" }, { "user_id": 3131989, "full_name": "Sven Myhre", "title": "Founder/CTO", "founder_bio": "co-founder @ Reason Machines (P26)\n-\nWith a background in EECS from UC Berkeley and scaling ML infra in industry, some notable milestones include winning 1st place in the Norwegian AI Championship 2025, having chaired Norway's largest AI student org and having ran ultramarathons (100km>).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/svemyh", "x_url": "https://x.com/svemyh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fe32f68ce79ac76c83594b8ea44b35b153f2e132.jpg" } ], "jobs": [ { "id": 102429, "title": "Engineering Internship", "url": "https://www.ycombinator.com/companies/reason-machines/jobs/r1SHuHh-engineering-internship", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "React", "Rust", "TypeScript", "Distributed Systems", "LLMs", "AI Agents" ] } ], "news": [], "launches": [ { "id": 102348, "title": "Ara - The World's First Self-driving IDE", "tagline": "The IDE that thinks ahead of you", "body": "Hey everyone, we’re [Adi](https://www.linkedin.com/in/adisinghlink/) and [Sven](https://www.linkedin.com/in/svemy/) - cofounders of [Ara](https://ara.so/) 👋\\\n\\\n**tl;dr:** we built an IDE for the future\n\n\\\n\\\n**the problem**\\\nThe bottleneck in development keeps moving. It used to be writing the code. Then agents solved that, and it became reviewing the code. Now what's left is planning the next step, and every IDE still waits.\n\n![uploaded image](/media/?type=post&id=102348&key=user_uploads/3131989/cb840d79-95f8-446d-b4cd-a60e9db72a85)\n\n**the solution** \\\nAra closes the loop. It proactively plans your next step, handing you proposals you can discard or send off to follow up on, with self-improving memory across all your tools and sessions, and full visibility across chats, files, browsers, terminals, and review panes.\n\n![uploaded image](/media/?type=post&id=102348&key=user_uploads/3131989/fc09658e-c84b-4e56-8b00-4485c3de72ae)\n\n\\\n**team**\\\nAdi and Sven both studied EECS at UC Berkeley. Adi worked in applied ML, at Scale AI and previously built an IDE company. Sven was an ML engineer on production systems and chaired Norway's largest student AI org. Serial hackathon winners, they've built and lived together across four cities and dropped out to build the IDE they always wanted.\n\nThe goal is an IDE that runs the development loop end to end, not one that waits for instructions.\n\n\\\n_The IDE for token-maxxers._\n\n![uploaded image](/media/?type=post&id=102348&key=user_uploads/3131989/eb3b255b-1cc1-4f77-a1c5-aa2f22227b7b)\n\n**our ask**\\\nTry it! [**Download Ara**](https://ara.so/) and email us at [founders@ara.so](mailto:founders@ara.so) with your feedback.", "url": "https://www.ycombinator.com/launches/Qcm-ara-the-world-s-first-self-driving-ide", "votes": 30, "created_at": "2026-06-01T00:32:45.864Z" } ] }, { "id": 31547, "name": "InsForge (InstaCloud)", "slug": "insforge-instacloud", "former_names": [ "InsForge" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/de52713fe1552551dbe8aa2a5e60202c09bfc0d7.png", "website": "https://insforge.dev/", "all_locations": "San Francisco, CA, USA", "long_description": "InstaCloud is the agent-native serverless cloud: deploy any code or service instantly, with automatic scaling and zero DevOps required.", "one_liner": "The agent-native serverless cloud", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1776234676, "tags": [ "Developer Tools", "DevSecOps", "Cloud Computing", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 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/insforge-instacloud", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/insforge-instacloud.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/insforge/", "x_url": "https://x.com/Insforge", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/de52713fe1552551dbe8aa2a5e60202c09bfc0d7.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": 967495, "full_name": "Hang Huang", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at InsForge (YC P26). Ex-Amazon PM, Yale MBA. Former professional League of Legends player.", "is_active": true, "linkedin_url": "https://linkedin.com/in/hang-huang-oliver", "x_url": "https://x.com/hanghuang_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2058201598004fe3b3a6453fb39790a037aa9afc.jpg" }, { "user_id": 2376097, "full_name": "Tony Chang", "title": "Founder", "founder_bio": "Co-founder & CTO at InsForge. Previously Software Engineer at Databricks(Networking Infra). \nInterned @ Meta(Ads ML Infra) & Amazon(Backend Infra) \n\nHackathon Addict :) 10x Wins + 9x judge", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tony-chang-0430/", "x_url": "https://x.com/tonychang430", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d9ae957713ee880ded3c7c44a66eb2110e1fd999.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101500, "title": "InsForge: The backend platform for AI-native developers", "tagline": "Let your coding agent deploy, operate, and debug your backend end-to-end", "body": "Hey YC! We’re [Hang Huang](https://linkedin.com/in/hang-huang-oliver) and [Tony Chang](https://www.linkedin.com/in/tony-chang-0430/) from [InsForge](https://insforge.dev/).\n\n**TL;DR:** InsForge lets your AI coding agent deploy and operate the full backend (servers, database, auth, storage, and more) from one consistent CLI. Instead of stitching together separate tools and dashboards, your agent manage entire backend infrastructure end-to-end.\n\n\n\n**The Problem**\n\nThe way software gets built is changing fast. Coding agents are now the primary builders, but every backend platform today was designed for human developers, with dashboards, manual configs, and workflows that require a person at every step.\n\nWe tried MCP servers like Supabase, Vercel, GitHub, and Context7, but kept running into the same problems: tools bloated the context window, payloads came back at 10K+ tokens, and core backend state like telemetry, configs, logs, and runtime behavior still wasn’t accessible in a way agents could reliably use.\n\n**Our Solution**\n\nSo we built InsForge as one backend platform your coding agent can actually operate. Install our CLI and Skills with one command, and your coding agent can build, run, debug, and scale full-stack apps end to end on InsForge.\n\nEvery primitive returns structured outputs and readable errors the agent can act on. And because agents make mistakes, branching, scoped permissions, and reversible writes let you review or discard changes safely.\n\n**Where We're Going**\n\nWe believe that coding agents won’t stop at writing code. They’ll run your entire application and infrastructure autonomously as well. For that to work, backend infrastructure needs to become agent-native: CLI-first, observable, permissioned, reversible, and designed around agents as operators.\n\n**About Us**\n\n![uploaded image](/media/?type=post&id=101500&key=user_uploads/967495/90d7cdcf-0682-408c-bf3c-c5f192edf89b)\n\n* **Hang (CEO)** — ex-Amazon PM, previously professional League of Legends player.\n* **Tony (CTO)** — ex-Databricks network infrastructure engineer.\n\n**Our Ask**\n\n1. **Try it and break it**: [**insforge.dev**](http://insforge.dev). If you found there’s anything missing or you think some features are poorly designed, let us know! We read every piece of feedback. We’re also open source, here’s our [**GitHub repo**](https://github.com/InsForge/InsForge).\n2. **Design partners**: if you want your coding agent to handle everything, and believe that’s the future, drop a comment or email [**founders@insforge.dev**](mailto:hang.huang@insforge.dev). We'll get you set up directly.\n3. **Intros:** we're a day-0 infra company, so we need to find top developers before they get locked in elsewhere. If you know any developers or founders just / about to get started, we’d love an intro!", "url": "https://www.ycombinator.com/launches/QP6-insforge-the-backend-platform-for-ai-native-developers", "votes": 33, "created_at": "2026-05-18T15:39:09.065Z" } ] }, { "id": 32089, "name": "Hoplite", "slug": "hoplite", "former_names": [ "Carbon Copy", "Carboncopy", "Blueprints" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/087c3f8fd341b06cc103d1bfc1f15c78f2464f4a.png", "website": "https://hoplite.sh", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Effortlessly deploy cloud software factories.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1782199103, "tags": [ "Developer Tools", "Cloud Computing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 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/hoplite", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/hoplite.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hoplite-sh", "x_url": "https://x.com/hoplite_sh", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/087c3f8fd341b06cc103d1bfc1f15c78f2464f4a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Vivian Midha Shen", "url": "https://www.ycombinator.com/people/vivian-midha%20shen" }, "founders": [ { "user_id": 2563241, "full_name": "Ryan Morrissey", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at Hoplite, Prev. Stripe, Induct ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ryan-morrissey-834256271/", "x_url": "https://x.com/ryan_morr", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/70a86a38d371096d8819303d0cf325e7b22af67d.jpg" }, { "user_id": 2614746, "full_name": "Bence Redmond", "title": "Founder/CTO", "founder_bio": "Founder & CTO at Hoplite, prev. AWS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bence-redmond", "x_url": "https://x.com/benceredmond", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c2283c4810bf71aac47f96aad681ac05c0a0eb68.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108274, "title": "Hoplite - Effortless cloud agents for programming", "tagline": "Hoplite runs autonomous coding agents in cloud sandboxes. Spin up tasks manually from Slack, Linear, iMessage, or automatically from Sentry.", "body": "Cloud coding agents are painful to set up, lacking ergonomics, and don't allow you to move as fast as possible. We let you bring your local set up to the cloud.\n\n![uploaded image](/media/?type=post&id=108274&key=user_uploads/2563241/28db62de-d65b-4498-84ac-12e2683c65f2)\n\n**The Problem** \n\nIn the next 10 years the best software startups will be those who can effectively deploy tokens. \n\nRight now that's significantly harder than it needs to be. If you’ve ever ran multiple agents locally you immediately know this pain.\n\nLaptop crashes, wrangling gitwork trees, juggling ports, and more headaches.\n\n![uploaded image](/media/?type=post&id=108274&key=user_uploads/2563241/6f320e85-ccbb-4fb4-a5e9-6ec3cb0206c7)\n\nSo cloud is the obvious answer right? \n\nBut setting up with these existing providers is quite a hassle, and oftentimes they miss some key feature that your local config has.\n\n**What we do**\n\nWe deploy software factories into businesses that want to **tokenmaxx** but don't have the time or the resources to set up the infrastructure.\n\nDuring onboarding, we transfer all of your local sessions and MCP servers to Hoplite, meaning you can pick up right from where you left off. We also configure all the required dependencies and CLIs that your projects require, letting you see instant previews of what your agent is doing.\n\nOur bet is that as models improve, we’re going to start caring less about the code that they output (we’ll implicitly trust it), and shift our focus towards the product itself. Hence, a platform that prioritizes iteration on product rather than code will ultimately win. \n\nWe also have an iMessage integration so you can prompt on the go.\n\nWe installed in our first business last week and we saw an immediate result, from sentry logs going from largely ignored to fully proactive PRs when something breaks. \n\nThey have significantly faster iteration cycles and lower priority tickets have been continuously getting merged. \n\nThey wanted faster iterations but didn't have the infrastructure to support a software factory, so we went in and built it.\n\nIf this sounds like you reach out! \n\nP.S. – If you love Vim, this is for you. It was built with keyboard navigation in mind 🙂\n\ndemo vid: \n\nsign up: \n\n**How we got here**\n\nPreviously, we were building an agentic harness for financial markets; letting retail investors trade with AI. The product worked well, but we never truly had founder market fit. \n\nWe found that our true passion was in talking to founders and developers – and oftentimes when pitching our old product, I’d spend 5x longer explaining our potential pivot 😅\n\nAnd so we set out to commercialize a product that we’d built internally, one that’d let us deploy the $1.5 million in OpenAI credits effectively.\n\n**Our Ask:** Let us Collison install! Bence and I will come to your apartment and set up everything for you (and bring some matcha & assorted sweet treats). We want to build the best possible product for developers to move faster and care deeply about peoples setups. Partially because we have very strong opinions of our own… \n\n**The Team** \n\nBence & I are both from Ireland 🇮🇪. We met in college in a course called Immersive Software Engineering. \n\nWe have been building projects & doing freelance work tg for the past 2 years, but got sick of building other people's visions. \n\nWe previously interned at AWS (Bence) & [@Stripe](https://bookface.ycombinator.com/company/240) (Ryan). After that experience, we were fed up and decided to drop out to build. \n\nWe are best friends & just want to build a product that people truly love. ", "url": "https://www.ycombinator.com/launches/SAM-hoplite-effortless-cloud-agents-for-programming", "votes": 11, "created_at": "2026-07-30T18:32:37.080Z" } ] }, { "id": 32527, "name": "machine0", "slug": "machine0", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0eb24a85015d2fd30115c143876496fed0a17210.png", "website": "https://machine0.io", "all_locations": "San Francisco, CA, USA", "long_description": "machine0 is a CLI for agent compute: `machine0 new mybox` gives your agent a full cloud VM, billed by the minute, from small up to 60 vCPU / 240 GB and 8×H100s. Agents drive it themselves via CLI or MCP.\r\n\r\nAgent workloads are moving from ephemeral to always-on. A coding agent working on a hard feature runs 6-8 hours. Auto-research agents run for days. machine0 is the environment in which these agents run.", "one_liner": "AWS for Agents", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1780987913, "tags": [ "Developer Tools", "Cloud Computing" ], "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/machine0", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/machine0.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/machine0", "x_url": "https://x.com/machine__0", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0eb24a85015d2fd30115c143876496fed0a17210.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": 31731, "full_name": "Barnaby Malet", "title": "Founder/CEO", "founder_bio": "Engineer. 2 x YC Founder. Currently founder/CEO of machine0 (S26). Previously cofounder/CTO/CPO of Upflow (W20). Before all that, Computer Science @ Imperial College London.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/barnabymalet/", "x_url": "https://x.com/barnabymalet", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3aa5cc9ddb2b21b5e10a21bd90ac20c4978f083a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108327, "title": "machine0: Cloud computers for AI agents", "tagline": "One command spins up a persistent VM. Your agent drives it via CLI or MCP, building its own fleet from 1 vCPU up to 60 vCPU / 240 GB and 8×H100s.", "body": "TLDR: machine0 is a CLI for agent compute: “machine0 new mybox” gives your agent a full cloud VM, billed by the minute, from $0.013/hr up to 60 vCPU / 240 GB and 8×H100s. Agents drive it themselves via CLI or MCP.\n\n\n\n## The Pain\n\nAgent workloads are moving from ephemeral to always-on. A coding agent working on a hard feature runs 6-8 hours. Auto-research agents run for days. OpenClaw & Hermes run 24/7. As you run more in parallel:\n\n* **Resources**: a few agents on a big codebase saturate your RAM and CPU. Auto-research needs GPUs you don't have.\n* **Security**: “—yolo” on your personal machine is one prompt injection away from exfiltrated credentials.\n* **Availability**: close your laptop and the agent dies mid-task.\n* **Isolation**: there's no clean line between everything on your laptop and the minimum this agent actually needs.\n\n## The Solution\n\nmachine0 gives every agent its own computer. It's a CLI that both humans and agents can use without reading docs:\n\n* “machine0 new mybox” creates an SSH-ready VM with a static IP and HTTPS endpoint. Always on (99.99% uptime) until you switch it off.\n* **Billed by the minute.** 1 vCPU / 1 GB at $0.013/hr up to 60 vCPU / 240 GB, plus GPUs from RTX 4000 Ada to 8×H100s.\n* **Profiles.** Bundles of MCP connections, credentials, prompts, and env vars, injected at VM creation. Each agent gets exactly the capabilities (or personality) you choose, and nothing else.\n* **Agents self-serve.** Hand the CLI or MCP server to Claude, Codex, or OpenCode and it manages its own fleet: spin up a box for a build, snapshot it, tear it down.\n* **Suspend & resume.** Pause an idle machine, stop paying for compute, resume exactly where it left off.\n* **Snapshot & clone.** Configure one machine perfectly, then stamp out ten identical agents from it.\n* **NixOS is first-class.** Declarative, reproducible machines.\n\n## How people use it\n\n* **Compute for your agent**: give it the CLI and it spins up its own VMs for builds, tests, and long jobs instead of grinding your laptop.\n* **Hosting the agent itself**: run Claude, Codex or Hermes 24/7. Snapshot once, then clone as many as you want.\n* **Swarms of agents**: an orchestrator agent spawns worker machines, farms out subtasks, and tears them down when the work is done.\n* **Auto-Research on GPUs**: drop an agent on an H100 with a goal and let it run for days.\n\n## About me\n\nI'm a solo, second-time YC founder. I was CTO of Upflow (YC W20), where I scaled EPD post series A and personally owned DevOps, infra, and security for years because they were too high-stakes to delegate. Upflow handles sensitive accounting data for companies like Postman, ProductBoard, and Lattice, and is doing many millions in ARR.\n\nBefore that I built consumer payments at Hike Messenger (100M+ users) in India. Working with sensitive data and infra for years is what got me deep into the problems machine0 solves, security especially.\n\n## Asks 🙏\n\n* Try it: \n* Let's talk about your agent fleets, software factory or auto-research: [hello@machine0.io](mailto:hello@machine0.io)", "url": "https://www.ycombinator.com/launches/SBD-machine0-cloud-computers-for-ai-agents", "votes": 22, "created_at": "2026-07-31T15:30:36.400Z" } ] }, { "id": 32814, "name": "Computable", "slug": "computable", "former_names": [ "Hobby.Trade" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4778fcb121d43a885f6b39a13d66a2fe2364fb1a.png", "website": "https://getcomputable.com", "all_locations": "New York City, NY, USA", "long_description": "", "one_liner": "Derivatives Exchange for Compute", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1784612730, "tags": [ "Marketplace", "Finance", "Cloud Computing", "Trading", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "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/computable", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/computable.json", "year_founded": null, "city": "New York City", "country": "US", "linkedin_url": "", "x_url": "https://x.com/getcomputable", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4778fcb121d43a885f6b39a13d66a2fe2364fb1a.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": [], "jobs": [], "news": [], "launches": [ { "id": 110494, "title": "Computable: The Exchange for Physical Compute", "tagline": "the first exchange for physical compute where you can buy, sell, use, and hedge GPU capacity for exactly the dates you want", "body": "Hi, we're Computable, the first exchange for physical compute where you can buy, sell, and use GPU capacity for exactly the dates you want like staying on Airbnb. You pay less, commit less, and stay flexible.\n\n\n\n**The problem**\n\nCompute is the newest major commodity, but it still trades like an asset from the last century. You overpay going in and you eat the weeks you don't use.\n\n**How it works**\n\nWe put a public price on every week. Open the market and you'll see dedicated H100 nodes, every week through January 2027, each with its own price, from $2.55/GPU-hr. Pick a start week and an end week, and it's yours.\n\n* **Buy the exact weeks you need.** Two nodes for the last two weeks of October is just a few clicks, and you never pay for weeks you don't want.\n* **Sell back what you don't use.** If your plans change, sell the weeks back to the market whenever you want; we keep a market quote posted on every position.\n* **Lock next year at a price you can see.** January 2027 is on the grid today, so you know exactly what the future run costs before another H100 40% rate jump happens.\n* **Real machines, fast.** Dedicated H100 SXM nodes, full SSH root access, live within an hour of your window start.\n\n**Why us**\n\nOur founding team comes from Jump Trading, Coinbase, Citadel Securities, and other trading firms and exchanges. We have spent our careers building markets. Stay tuned for more products coming soon as we build out the financial infrastructure of the AI economy.\n\n**Our asks**\n\n* **Open [market.getcomputable.com](http://market.getcomputable.com) and buy GPU!**\n* **Tell us what to list next: GPU type, region, dates.** Email [team@getcomputable.com](mailto:ray@getcomputable.com); it directly sets what goes on the grid.\n* **If GPU prices move your margins or you are worried about your long-term contracts, email [team@getcomputable.com](mailto:ray@getcomputable.com).** We have a super cool product in pipeline for exactly this. Early testers get it first!", "url": "https://www.ycombinator.com/launches/SkA-computable-the-exchange-for-physical-compute", "votes": 26, "created_at": "2026-08-18T19:00:00.333Z" } ] }, { "id": 33673, "name": "Caution", "slug": "caution", "former_names": [ "Caution SEZC" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a0571039e7dc6cc20c7a181c0b7ffa967bc5c6d3.png", "website": "https://caution.co", "all_locations": "George Town, George Town, Cayman Islands", "long_description": "Caution is a hosting platform for software you can't afford to get hacked. It simplifies and extends confidential compute, and lets developers deploy workloads to secure enclaves in minutes and give customers, auditors, and counterparties cryptographic proof that production is running the exact reviewed source code, build, configuration, and runtime - not an opaque binary controlled by a cloud operator or internal admin.\r\n\r\nConfidential computing hardware exists, but the tooling is too fragmented and incomplete for most teams to use well. Today, attestation often proves only that a binary has a certain hash; it does not prove what source code produced that binary. Building the missing deployment, reproducibility, and verification layer requires specialized security engineering and often locks teams into one cloud or hardware stack. Caution turns that into a simple git-based workflow that builds reproducible enclave images, provisions infrastructure, and lets anyone independently verify what is running.\r\n\r\nWe built Caution after years securing high-risk systems through Distrust, where we worked with hedge funds, custodians, blockchain teams, cloud platforms, and critical grid operators on systems responsible for more than $600B in assets. Again and again, the same problem showed up: teams running mission-critical infrastructure could not reliably prove what was executing in production.\r\n\r\nAs AI, fintech, healthcare, and regulated data collaboration move into the cloud, \"trust us\" is no longer enough. Caution is a general-purpose platform: if it runs on a server, it can run verifiably on Caution. We're starting where trust failures cost the most, but we believe verifiable compute will become the default way software runs, the same way HTTPS became the default way it's served. Infrastructure you can verify, not trust.", "one_liner": "Hosting platform for software you can't afford to have hacked", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1785719703, "tags": [ "Cybersecurity", "Cloud Computing", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "Cayman Islands", "Latin America", "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/caution", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/caution.json", "year_founded": 2025, "city": "George Town", "country": "KY", "linkedin_url": "https://www.linkedin.com/company/cautionco", "x_url": "https://x.com/CautionHosting", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a0571039e7dc6cc20c7a181c0b7ffa967bc5c6d3.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": 3655130, "full_name": "Anton Livaja", "title": "Founder/CEO", "founder_bio": "Co-founder/CEO of Caution (YC S26). We give teams a hosting platform to run sensitive workloads in secure enclaves and cryptographically prove what code is running in prod. Previously co-founded Distrust, securing systems for hedge funds, custodians, and critical infra responsible for $600B+ in assets. Deep in confidential computing, supply chain security, and applied cryptography. Mission: improve the freedom, security, and privacy of as many people as possible.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alivaja/", "x_url": "https://x.com/antonlivaja", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f6dddfa8391b5f9fce21fa7496e2368d59ef6987.jpg" }, { "user_id": 3654857, "full_name": "Ksenia Lesko", "title": "Founder", "founder_bio": "Co-founder at Caution, where we help teams run sensitive workloads in secure enclaves and cryptographically prove what code is running in production. I lead the business and product side; previously ran strategy and ops at Distrust (distrust.co) and led customer education and activation at Ada (ada.cx).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ksenialesko/", "x_url": "https://x.com/xenush", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4ecf3715be1ffcf30eedb062148902b9a1458237.jpg" }, { "user_id": 52788, "full_name": "Lance Vick", "title": "Founder/CTO", "founder_bio": "Technology sovereignty maximalist. Lead security architect at Caution. Former security lead at Turnkey, BitGo, Unit 410, Pebble. Founded Stagex Linux distribution, and #! decentralized hackerspace. Experienced in Linux hardening, privacy, software engineering, security auditing, cryptographic key management, tamper evidence, HSMs, and supply chain security. Frequently internet infamous for exposing security negligence. Prolific mechanical puzzle collector, lockpicker, and hardware hacker.", "is_active": true, "linkedin_url": "https://lance.dev", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/45728fc907c9915858fe6304bbdb25700f05d67b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108800, "title": "Caution: Hosting platform for software you can't afford to have hacked", "tagline": "Deploy to secure enclaves in minutes, isolate sensitive workloads, cryptographically prove what code is running.", "body": "Hey everyone! We're [Anton Livaja](https://www.linkedin.com/in/alivaja/), [Lance Vick](https://lance.dev), and [Ksenia Lesko](https://www.linkedin.com/in/ksenialesko/) from [Caution](https://caution.co).\n\n**TL;DR:** Caution is a hosting platform for software you can't afford to have hacked. Your software and data Istay protected even if your CI/CD pipeline, host infrastructure, or a developer laptop gets compromised. You go from source to a verifiable deployment in three commands. \n\n**Built for:** payment processors, PHI processors, AI agents, policy and fraud engines, secrets management, and other sensitive workloads.\n\n[https://drive.google.com/file/d/1u-l2TSBQO2t5dbhBsatCkZf5earCTyDD](https://drive.google.com/file/d/1u-l2TSBQO2t5dbhBsatCkZf5earCTyDD/view?usp=sharing)\n\n### **Why we built this**\n\nOn February 21, 2025, attackers stole **$1.5 billion** worth of Ethereum from Bybit, the largest digital heist in history. They never breached Bybit's own infrastructure: North Korea's Lazarus Group compromised a single developer machine at Safe{Wallet}, Bybit's multisig provider, and injected malicious JavaScript into the signing interface. Bybit's team approved what looked like a routine transfer and handed over a cold wallet to the attackers. The code everyone trusted was not the code that was running.\n\nThis keeps happening because nearly all software runs on blind trust:\n\n* trust in the cloud host\n* trust in production admins\n* trust in CI/CD\n* trust that the code you reviewed is the code actually running\n\nIf any part of that chain is compromised, an attacker can read your secrets, tamper with your business logic, or quietly run code your team never reviewed. It's the same failure behind SolarWinds and Codecov: tampered code arriving through a trusted channel, passing every check. Caution exists to shrink that attack surface and make the most sensitive systems verifiable.\n\n### **Caution proves exactly what's running on your server**\n\nCryptographically, and in real time. Deploying into secure enclaves normally takes a specialist team and months of integration. Caution automates the entire flow: source to verifiable deployment in minutes, with three commands:\n\n![uploaded image](/media/?type=post&id=108800&key=user_uploads/3654857/f3161435-2a97-4207-915a-96375a72be82)\n\n**🎥** [Watch Anton walk through the platform](https://caution.co/platform-tour.html)\n\nUnder the hood, **Caution is a verifiable confidential compute platform:** hardware-backed cryptography isolates your workloads, preserves data privacy, and proves what software is running on a server in real time. The entire platform is open source, so verification never requires trusting us. In practice, this eliminates entire classes of attacks out of the box:\n\n* **Build & CI/CD tampering**: reproducible, multi-party signed builds mean injected code can't pass as a legitimate release.\n* **Infrastructure & insider compromise**: a compromised cloud account, admin, or laptop can't silently swap what's running.\n* **Runtime data theft**: data is processed in hardware-isolated enclaves, unreadable even to the host, the cloud provider, or us.\n\nCaution guards against everything but first- or third-party code bugs: if the release you approve has a flaw, that's what runs. Nothing can be added, no fix can be stripped out, and every patch is provably live.\n\n### **Why now**\n\nWith advances in AI, attacks that used to require rare, expensive expertise are now cheap and scalable, and the gap between a vulnerability existing and being exploited is collapsing toward zero. Reactive patching was already losing. It can't win a race against automated attackers.\n\nIn the post-Mythos world, the security model has to flip. Infrastructure can no longer assume it won't be compromised. It has to be built to stay secure even when the host, the pipeline, or individuals with privileged access are compromised, and to prove, cryptographically, that it has. That's what Caution does.\n\nCaution is a general-purpose platform: if it runs on CPU or GPU, it can run verifiably on Caution. We're starting where trust failures cost the most, but we believe verifiable compute will become the default way software runs, the same way HTTPS became the default way it's served.\n\n### **Why us**\n\n[Anton](https://www.linkedin.com/in/alivaja/) and [Lance](https://lance.dev) have spent their careers securing some of the most security-critical systems in the world: BitGo, Ledn, Turnkey, OpenZeppelin, and Unit 410 (later acquired by Coinbase). Across hundreds of engagements, from hedge funds to critical grid operators, the systems we've helped secure hold more than **$600B** in digital assets. [Ksenia](https://www.linkedin.com/in/ksenialesko/) spent years helping enterprises adopt new technology, and now leads go-to-market, customer education, and operations at Caution, turning deep security engineering into a product companies can understand, buy, and use.\n\nWe've been the people companies call in when this class of attack hits. Teams needed stronger guarantees against supply chain and runtime attacks, but existing solutions were too hard, too bespoke, or too expensive. So we built the platform we kept wishing existed.\n\n### **Traction**\n\nCaution is in production and onboarding customers spanning crypto infrastructure, blockchain labs, digital asset lending, consumer hardware, post-quantum security, and private AI inference.\n\nWe support AWS Nitro Enclaves today. Intel TDX, AMD SEV-SNP, TPM 2.0, NVIDIA Confidential Computing, and broader cloud support is in active development and coming soon.\n\n### **Our ask**\n\nIf you're running software where sensitive data must stay private or business logic can't be tampered with, we'd love to help you level up your security. [Book 20 minutes with us](https://caution.co/contact.html) or email us at [founders@caution.co](mailto:founders@caution.co).\n\nWe'd especially love to hear from you if you're a:\n\n* security team that wants proof, not promises, from your infrastructure\n* fintech running payments, policy, or fraud engines\n* crypto custodian, exchange, or wallet team that can't afford another Bybit\n* healthcare or AI company processing PHI or other regulated data\n* team giving AI agents production credentials and losing sleep over it\n* company using AI inference with sensitive data\n\nYou can also learn more on our [blog](https://caution.co/blog.html), and follow us on [LinkedIn](https://www.linkedin.com/company/cautionco/) and [X](https://x.com/CautionHosting) for updates.", "url": "https://www.ycombinator.com/launches/SIq-caution-hosting-platform-for-software-you-can-t-afford-to-have-hacked", "votes": 59, "created_at": "2026-08-04T17:02:42.242Z" } ] }, { "id": 34928, "name": "Boat", "slug": "boat", "former_names": [ "Ascii box", "Ascii" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd00ca6a15fbe23bc8d3447bda9de39006326892.png", "website": "https://boat.dev", "all_locations": "Paris, Île-de-France, France; Remote", "long_description": "**Problem**\r\n\r\nHumans used to need laptops to do their work. Now they prompt agents instead, and those agents need computers too: always-on, in large quantities, and with unlimited capabilities. \r\n\r\nBuilding and maintaining that yourself is far from trivial.\r\n\r\n**Solution**\r\n\r\nBoat provides powerful, simple, permissive Ubuntu VMs in the cloud. In a sandbox, an agent can work for long periods on code or on knowledge work like legal, research, reporting, and auditing.\r\n\r\n**Why Boat and not any other cloud VM?**\r\n\r\n1. It is ready out of the box: every sandbox ships with a desktop, chrome, languages, docker, snapshots, and templates, plus a CLI, SDK, API, and control pane for your fleet.\r\n2. It is permissive and paradigm agnostic: any number of agents can use any number of sandboxes. Agents can run inside or use sandboxes as an external tool.\r\n3. It is expertly crafted: we manage everything from the individual CPU to the orchestration software, which makes sandboxes stable, persistent, scalable, and secure.\r\n4. It is the best performance and price in town: our CPUs rank first on HPC benchmarks, and sandboxes are typically 9x to 18x cheaper than other leading sandboxes.\r\n\r\n**Further notes**\r\n\r\nSandboxes are hosted in Europe, which keeps prices low, and more regions are coming. 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We help engineering teams continually test and validate what they build: our agents use the product, check real user flows and discover bugs before release. Previously, as CTO at Cosine, I built AI coding agents and the infrastructure behind them, including one of the first CLI harnesses, sandboxed execution from scratch and large-scale repository mirroring for data generation and model training. Now I help teams validate software at scale.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pandelis", "x_url": "https://x.com/pandelisz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2a55b3f5f6b672b3b8e37a486a15ce014683193a.jpg" }, { "user_id": 986471, "full_name": "Jonathan Davies", "title": "Founder/CTO", "founder_bio": "Co-Founder and CTO of Composal. Previously Senior Software Engineer at PapayaDash. Before that built software for Telefonica, Mitie, and Vodafone", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jonathan-m-davies/", "x_url": "https://x.com/jonathandavies", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b5db544d164e39b3c1e12d9c67fdd8b2afca5015.jpg" }, { "user_id": 858028, "full_name": "Jan Moehlmann", "title": "Founder", "founder_bio": "Founder at composal.ai (YC F26). 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Previously a visiting lecturer at MIT and researcher at NANDA", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mariagorskikh/", "x_url": "https://x.com/mariagorskikh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/33a982ecd7c7aa7e52ba5b21b3a7240ee0881408.jpg" }, { "user_id": 2682745, "full_name": "Aryaman Shrivastava", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at Maritime (YC F26). Prev researcher at MIT NANDA Lab on AI agent coordination at scale. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/aryshriv", "x_url": "https://x.com/AryShriv", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1fd69dca86a8ca1c88e42dea655277268f3e64e4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 120824, "title": "Maritime: Fully managed cloud for running AI agents at scale", "tagline": "Run millions of agents, each on its own isolated, persistent VM.", "body": "Hi everyone, we’re Maria and Ary, founders of [Maritime](https://bookface.ycombinator.com/company/38061) (YC F26).\n\n**TL;DR:** Maritime is a fully managed cloud platform for running millions of AI agents, each on its own isolated, persistent VM.\n\n\n\n**Why we built Maritime** \n\nWe believe we’re heading toward a world with billions of AI agents. Everyone will have agents working for them, and businesses will run entire teams of AI employees. A new generation of startups will build and sell these agents, giving every customer one of their own.\n\nWe started working on Maritime when OpenClaw was released. Now, with dots, Instinct, Grok Bot, and Muse, that future is taking shape. We saw the infrastructure challenge firsthand while hosting hundreds of agents during our research at MIT. Even at that scale, our time went into getting environments running, maintaining them, and debugging individual agents.\n\nRunning billions of agents will require infrastructure that lets developers give each one a persistent computer and manage entire fleets with ease. We’re building Maritime to make that possible, so any startup can launch an agent product, give every customer their own agent, and scale it to millions in no time.\n\n![uploaded image](/media/?type=post&id=120824&key=user_uploads/3118952/6772cfd5-737c-4278-8a02-ec3793cb070b)\n\n**What Maritime does**\n\nMaritime gives every agent a persistent computer and manages the infrastructure around it:\n\n* **An isolated VM for each agent.** Run code, install software, and use a browser.\n* **Pricing built for scale.** Hosting starts at $1 per agent per month, making it practical to give every customer their own persistent computer and grow your fleet as your product grows.\n* **Persistence between tasks.** Keep files, memory, installed software, and logins so agents can pick up where they left off.\n* **Tools to manage individual agents.** Inspect, debug, and fix each customer’s agent directly.\n* **Different environments for different workflows.** Choose Linux computers, Windows desktops, or virtual Android phones based on the software and apps your agents need.\n\nYou can run your agent code inside a Maritime VM, or keep your agent on your existing backend and use MCP to let it control a Maritime computer.\n\n![uploaded image](/media/?type=post&id=120824&key=user_uploads/3118952/db071ab8-94f8-4245-9de8-f574cc2aba1d)\n\n**Who it’s for**\n\nTeams building and selling AI employees, personal assistants, and other products where every customer has an agent of their own.\n\nWe want founders to focus on building and growing their products, with Maritime managing the infrastructure to run them.\n\n**Our ask**\n\n* **Try Maritime:** Host three agents for free at [maritime.sh](http://maritime.sh). Hosting starts at $1 per agent per month.\n* **Introduce us:** If you know teams building and selling agents, especially those deploying a separate agent or computer for every customer, please comment or connect us.", "url": "https://www.ycombinator.com/launches/VQm-maritime-fully-managed-cloud-for-running-ai-agents-at-scale", "votes": 23, "created_at": "2026-10-09T19:00:00.166Z" } ] } ]