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It offers a client-side networking library that integrates with iOS and Android operating systems; network of proxies that speaks a custom protocol to optimize delivery times, throughput, and data and battery usage; and metrics to visually monitor and debug connection quality in its users’ applications.\n\nNextop IO was launched in 2014.", "one_liner": "Nextop optimizes the path between your app and backend. Client…", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1416308666, "tags": [ "Developer Tools", "DevOps" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2015", "status": "Inactive", "industries": [ "B2B", "Infrastructure" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/nextop", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2015/nextop.json", "year_founded": null, "city": null, "country": null, "linkedin_url": null, "x_url": null, "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/nextop-io", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 4936, "full_name": "Brien Colwell", "title": "Founder/CEO", "founder_bio": "2023-present working on privacy and security. 2015-2022 Co-Founder and CTO HeadSpin (global device infrastructure); YC W15 Nextop; prior startup engineer and HCI researcher", "is_active": false, "linkedin_url": "https://linkedin.com/in/briencolwell", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/431a02e9b689105c99cc058222677f4829f65bbf.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 848, "name": "Tara AI", "slug": "tara-ai", "former_names": [ "Gradberry", "TARA" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5150a8797d7be6783f61a5e2ea17ea19cd3721a3.png", "website": "http://www.tara.ai", "all_locations": "San Francisco, CA, USA; San Jose, CA, USA; Remote", "long_description": "Tara AI helps engineering leaders measure and improve engineering efficiency, with fine-tuned, secure LLMs trained on source control and project data. \r\n\r\nOur customers include MongoDB, Clearbit and Prometric. Our platform generates all-in-one views on cycle times, benchmarks, investments and overall size and velocity of engineering activity. 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His second venture Elements was a specialized Engineering and Design firm that was acquired and his current venture Tara AI is focused on making the Software Lifecycle more Predictable. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/syedahmedz/", "x_url": "https://x.com/syedahmed", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e9042f3d437e8f239421005d9bd7a8c335846356.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 1222, "name": "Opsolutely", "slug": "opsolutely", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "https://www.opsolutely.com", "all_locations": "San Francisco, CA, USA", "long_description": "The best way for businesses to ship software. Opsolutely empowers engineering teams to be more productive, inclusive, and collaborative by making the most challenging and chaotic part of their software creation process safe, easy-to-use, and friendly for every member of the team.", "one_liner": "Automated deployments for software teams.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1461210618, "tags": [ "DevOps" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2016", "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/opsolutely", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2016/opsolutely.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/opsolutely", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 119647, "full_name": "Kate Heddleston", "title": "Founder/CEO", "founder_bio": "", "is_active": false, "linkedin_url": "https://linkedin.com/kateheddleston", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3a796db806f7de002cbe4b617799689cea9882ef.jpg" }, { "user_id": 145214, "full_name": "Rachel Myers", "title": "Founder", "founder_bio": null, "is_active": false, "linkedin_url": "https://www.linkedin.com/in/rachelmyers", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/915d11213071ed6a360e283f16ab27e4c3a38fd6.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 1510, "name": "FastJVM", "slug": "fastjvm", "former_names": [ "Manycore", "Manycore.io", "Manycore", "Inboxbooster" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d20c1dd1d05527f51041212802e5e737587823ff.png", "website": "https://fastjvm.com", "all_locations": "San Francisco, CA, USA", "long_description": "FastJVM analyzes JVM bytecode and applies provably safe optimizations such as automatic parallelization.\r\n\r\nOn some workloads it already delivers up to 10× speedups; 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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": 12266, "name": "Dockup", "slug": "dockup", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7bbbc0b138970d664365f112bc20022470751139.png", "website": "https://getdockup.com/", "all_locations": "Bengaluru, KA, India; Mountain View, CA, USA", "long_description": "Dockup gives on-demand environments for engineering teams so they can merge pull requests with confidence. 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I love hikes, poker, board games, and adrenaline.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/suryaoruganti/", "x_url": "https://twitter.com/suryaoruganti", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9c36a14083521f77b95c21ba406072fcd0e243c4.jpg" } ], "jobs": [ { "id": 110902, "title": "Senior Network Engineer", "url": "https://www.ycombinator.com/companies/warpbuild/jobs/UCEOEhn-senior-network-engineer", "location": "IN / Remote (IN)", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "₹3M - ₹8M INR", "equity_range": "0.10% - 0.20%", "experience": "7+ years", "visa": "US citizenship/visa not required", "skills": [ "Python", "Linux" ] } ], "news": [], "launches": [ { "id": 76905, "title": "WarpBuild: Blazing fast x86-64 and ARM64 runners for Github actions", "tagline": "Supercharge your development cycle with 30% faster runners in 2 minutes", "body": "**WarpBuild provides blazing fast cloud CI runners that speed up of your builds by over 30%.**\n\nThis is a drop-in replacement for Github-hosted Actions runners (_including all pre-installed dependencies)_ that takes one line of code change to get started.\n\nOur mission is to deprecate this:\n\n![](https://imgs.xkcd.com/comics/compiling.png)\n\n## **Key benefits:**\n\nYour existing github actions will run without any changes. You will also get:\n\n* **x86-64 and arm** architecture runners\n* **30% faster** than GitHub Actions at half the price\n* **Secure** VM-level isolation for your workloads\n* **Easy debugging** - SSH into running Github actions workflows\n* **Fast IO** with SSD backed volumes\n* **Unlimited parallelization** for eliminating job queueing delays\n* **Automatic updates** of pre-installed toolchains saving maintenance if you are self-hosting runners\n* **Runs as a VM**, not in a container, for workloads that don’t work in `dind` or `kind` environments\n\n## **Use cases:**\n\n* **Plain ol’ Github actions**, but faster, cheaper, and awesomer\n* **Easy debugging:** ssh into a running workflow using `Action-Debugger`\n* **Nested virtualization** for running firecracker, VMs, custom hypervisors, inside of your workflow\n* **Running android emulators** in CI\n* Spinning up kubernetes clusters in testing pipelines", "url": "https://www.ycombinator.com/launches/K0P-warpbuild-blazing-fast-x86-64-and-arm64-runners-for-github-actions", "votes": 9, "created_at": "2023-12-14T06:22:01.182Z" } ] }, { "id": 25342, "name": "Stably AI (Orca)", "slug": "stably-ai-orca", "former_names": [ "Lovecast", "UpArrow", "UpDragon", "Stably", "Stably AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7522b24d3853d0b79cebe72798f4a3a33c54ac27.png", "website": "http://onorca.dev/", "all_locations": "San Francisco, CA, USA", "long_description": "Orca is an ADE built for engineers who run 10 to 100 coding agents at once. Termina-based. Any coding agent. Bring your own subscription (Claude Code, Codex etc). Mobile app included. Browser, CUA, Mobile emulator, and other. 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", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jinjingliang/", "x_url": "https://x.com/JinjingLiang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b229ed178a317af7ee19f1ba641bf66b8f2bdefd.jpg" }, { "user_id": 831615, "full_name": "Neil Parker", "title": "Founder", "founder_bio": "Building OSS Devtools for 100x builders\n- Orca - Agent IDE for 100× builders https://github.com/stablyai/orca\n\nPrev TL @Uber\n2x founder and Cornell alum.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/neilwilliamparker/", "x_url": "https://x.com/nwparker_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/06e849215a8e84189e6715a0f8bb8fb0ea6bedf6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 91969, "title": "Stably - Tests Every Code Change Like Your Best Engineer Would", "tagline": "AI agent for testing your PRs and releases", "body": "**Tl;dr**\n\nWe've built an AI testing agent that lets anyone on your team—engineers, PMs, and QA—create and maintain tests without writing code.\\\n\\\n❌ The Problem / ✅ Our Value\n\nStop shipping bugs. Stop waiting for tests. Stop fixing broken test suites.\n\nStably is an AI QA engineer that understands your product, tests intelligently, and integrates seamlessly into your workflow.\\\nhttps://youtu.be/p-cjcxjTH-E\n\n## 💪 Our 3 Core Strengths\n\n### **1. ⚡ Speed: 10x Faster Testing**\n\n* **Smart test selection:** Our AI analyzes PR diffs and runs only affected tests—when you change checkout, we test checkout, not your entire suite\n* **Automated test creation:** Tests that once took hours of hand-coding in Playwright or Cypress now generate automatically in under 10 minutes.\n* **Intelligent caching:** Tests run in cached Playwright until your app changes, then auto-heal\n\n### 2. 🎯 **Accuracy: AI That Actually Understands Your Product**\n\n* **99.7% assertion accuracy** by learning from your Notion docs, Google Drive specs, PostHog recordings, and Git history\n* **Context-aware testing:** Tell Stably \"test checkout with expired coupons\" in plain English—it knows what checkout means in YOUR app\n* **Catches real bugs:** Not just UI changes, but actual business logic failures\n\n### 3. 🧩 **Easy Integration: Works for Everyone, Everywhere**\n\n* **No-code for all teams:** PMs describe tests in English, QAs point-and-click to show flows, and engineers get PR-ready tests\n* **One-click GitHub app** or use our API for GitLab, local CLI, and Cursor MCP (upcoming)\n* **Human-in-the-loop:** When AI needs help, anyone can step in and show it what to do—no coding required\n\n## 💥 Real Impact\n\n* [**OpenArt**](https://openart.ai/) scaled from $0 to $16M ARR with just 10 employees using Stably\n* [**Tofu**](https://tofuhq.com) saves 40+ engineering hours per week after migrating from Playwright\n* Multiple customers replaced six-figure QA contracts, cutting testing costs by 80%\n\n> \"I actually love testing now after switching to Stably\" — Senior Engineer, Curebase (YC W18)\n\n## 👩🏻‍💻🧑‍💻 About Us\n\n[**Jinjing**](https://www.linkedin.com/in/jinjingliang/) (CEO): Built the testing & release infrastructure that ships Google Chrome to billions of users\n\n[**Neil**](https://www.linkedin.com/in/neilwilliamparker/) (CTO): One of Uber's youngest Tech Leads; led multiple large-scale ML projects on Uber's Safety team\n\nWe've assembled a team of PhD graduates specializing in AI’s application in software reliability, plus ex-founders who've previously built and sold an AI startup.\n\n## 🎉 Launch Week Special\n\n**We're looking for teams who:**\n\n* Wait too long for PR tests to run\n* Have PMs/QAs who want to contribute to testing but can't code\n* Are tired of updating tests every time they ship\n\n**Get the first month free on our starter plan. Just mention \"YC Launch\" when signing up.**\n\nSign up or schedule a demo at [stably.ai](https://www.stably.ai/?utm_source=launch-yc&utm_medium=link&utm_campaign=launch-yc-07-2025&utm_id=launch-yc-07-2025) or contact us at [jinjing@stably.ai](https://mailto:jinjing@stably.ai)", "url": "https://www.ycombinator.com/launches/NvN-stably-tests-every-code-change-like-your-best-engineer-would", "votes": 337, "created_at": "2025-07-09T02:42:30.339Z" } ] }, { "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": 27693, "name": "Depot", "slug": "depot", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee26edbce33f1fe3229feaa137276afd82b5ea00.png", "website": "https://depot.dev", "all_locations": "Remote", "long_description": "Depot gives engineering teams the fast source control, builds, CI runners, sandboxes, caches, and registries they need to ship reliable software they trust at AI speed. Companies like PostHog, Inference, Wistia, PlanetScale, Poolside, Astral, and Semgrep use Depot to power their entire software delivery stack.\r\n\r\nKyle and Jacob worked together as staff engineers for 4.5 years at Thorn and Era Software, before founding Depot. 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He and Jacob Gillespie (CTO) built Depot after being faced with the same challenges time and time again surrounding slow CI builds across all generic providers. He is originally from Portland, Oregon but relocated to Montpellier, France in October 2022 to immerse himself in French culture with his wife who is originally from the area.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kylegalbraith459", "x_url": "https://twitter.com/kylegalbraith", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/97ac9fc9205afdfd9a00a9dd95b589e9cfcae2f3.jpg" }, { "user_id": 956934, "full_name": "Jacob Gillespie", "title": "Founder", "founder_bio": "Cofounder and CTO of Depot. US expat living in the UK.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jacobwgillespie/", "x_url": "https://twitter.com/jacobwgillespie", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d302e2c98c1cce2705fb9bd496baf2fb19b0339e.jpg" } ], "jobs": [], "news": [ { "title": "Depot raised a $10M Series A", "url": "https://x.com/kylegalbraith/status/2031357969338663387?s=46&t=O2dQBFTAcOO_utQ0IktGUg", "date": "Mar 10, 2026" }, { "title": "Depot raises $4.1M to speed software builds by 40X | VentureBeat", "url": "https://venturebeat.com/programming-development/depot-raises-4-1m-to-help-developers-speed-up-software-builds-by-40x-or-more/", "date": "Aug 22, 2024" } ], "launches": [ { "id": 79909, "title": "✨ Depot: Managed GitHub Actions runners for AWS", "tagline": "30% faster compute, 10x faster cache, 1/2 the cost", "body": "Hey, we’re Kyle and Jacob, the founders of [Depot](https://depot.dev), a hosted container build service for Docker images, and we’re excited to launch our new product: [managed GitHub Actions runners for AWS](https://depot.dev/products/github-actions)!\n\n![uploaded image](/media/?type=post&id=79909&key=user_uploads/956934/99034910-f435-44ef-8301-3610146d56bd)\n\n## The Problem\n\nWhile GitHub Actions is one of the most prevalent CI providers, Actions is slow for a few reasons:\n\n* GitHub uses underpowered CPUs.\n* Network throughput for cache and the internet at large is capped at 125 MB/s.\n* Total cache storage is limited to 10GB per repo.\n* Larger runners are expensive and take a long time to start running jobs.\n\n## The Solution\n\n**Depot-managed runners solve this!** Rather than your CI jobs running on GitHub’s slow compute, Depot routes those same jobs to powerful EC2 instances. And not only is this faster, it’s also 1/2 the cost of GitHub Actions!\n\nWe do this by launching a dedicated instance for each job, registering that instance as a self-hosted Actions runner in your GitHub organization, and then terminating the instance when the job is finished.\n\nWe've also integrated the runners with our existing distributed storage cluster that we use for Docker image builds for up to 10x faster cache throughput! 💪\n\n## Demo Video\n\n\n\n## Tech Details\n\nUsing AWS as our compute provider has a few advantages:\n\n* We launch fast `m7a` instances, which are typically 30%+ more performant than alternatives.\n* Each instance has high-throughput networking of up to 1.5 GB/s, hosted in `us-east-1`, so interacting with artifacts, cache, container registries, or the internet at large is quick.\n* Each instance has a public IPv4 address, so you’re not sharing any rate limits with anyone else.\n\nBy integrating the runners with the distributed cache system (backed by S3 and Ceph) that we use for Docker build cache, jobs automatically save/restore cache from this cache system, with speeds of up to 1.5 GB/s, and without the default 10 GB per repo storage limit.\n\nAdditionally, the runners are located in the same VPC as our [Docker build service](https://depot.dev), so for anyone using both, built containers are now able to `--load` back into CI for testing much faster than they would over GitHub’s default network.\n\nWe build our machine image from [GitHub's image definition](https://github.com/actions/runner-images), so all the same software you expect is pre-installed. Support for Arm runners, powered by Graviton instances, is in beta now.\n\n## Getting Started\n\nYou can sign up at for a free trial if you’d like to try it out with your own workflows!", "url": "https://www.ycombinator.com/launches/Kmr-depot-managed-github-actions-runners-for-aws", "votes": 21, "created_at": "2024-04-03T14:38:17.273Z" }, { "id": 67759, "title": "⚡ Depot - a faster way to build Docker images", "tagline": "A remote container build service that is 3-14x faster than CI providers, with emulation-free support for both Intel & Arm architectures", "body": "Hey everyone! We’re Kyle and Jacob, and we’re excited to share [Depot](https://depot.dev/) with all of you.\n\n[![uploaded image](/media/?type=post&id=67759&key=user_uploads/600738/bc4dbd39-a0a3-4838-a4f5-20e6302c00b2)](https://depot.dev/benchmark/temporal)\n\nDepot is a remote container build service that is 3-14x faster than building Docker images inside of generic CI providers. It’s much faster than existing solutions like GitHub Actions because we run BuildKit the right way with a persistent SSD cache. We launch both Intel and Arm VMs for each build, allowing you to build native multi-platform or Arm images without any slow emulation.\n\nPostHog’s Docker builds [run around 5x faster with Depot](https://posthog.com/blog/speeding-up-posthog-builds-with-depot), reducing daily time spent on builds from 5+ hours to just an hour. We continuously benchmark several open-source projects, comparing `docker build` and `depot build`, including:\n\n* [Temporal](https://depot.dev/benchmark/temporal) (\\~14.5x faster, saving 7 hours over the last 10 builds)\n* [Supabase](https://depot.dev/benchmark/supabase) (\\~8.5x faster, saving 2 hours over the last 10 builds)\n\n### Our background\n\nAs software and platform engineers, we absolutely hate slow CI builds. Everyone has their own internal timer for what classifies a slow build, our own is 5 minutes, if it takes longer than that we get annoyed. We have experienced first-hand the pain and challenge of keeping Docker container builds fast, optimizing/re-optimizing pipelines and Dockerfiles, and implementing custom runners for multi-platform builds. It’s all annoying, unnecessary, and a drain on developer happiness.\n\nOverall, slow builds clog up the delivery pipeline and take time away from iterating on new ideas and fixing problems for users.\n\n### Building Docker images is slow\n\nBuilding Docker images in CI providers like GitHub Actions, CircleCI, etc. is slow:\n\n* **Saving and loading layer cache is slow.** Transferring the cache over the network to the ephemeral CI runners eats away at any cache time savings.\n* **Runner resources are constrained,** with limited CPUs, RAM, and disk space.\n* **Multi-platform and Arm builds require emulation.** Emulation is orders of magnitude slower than native, and Arm is increasingly important with the rise of popularity with devices like MacBook M1, Graviton, etc.\n\n### Our Solution\n\nDepot provides managed VMs running BuildKit, the backing build engine for Docker. Each VM includes 4 CPUs, 8GB of memory, and a persistent 50GB SSD cache disk. We launch both native Intel and Arm machines on AWS. You can choose to have your builder VMs launch in our AWS account or in your own if you want to maintain total control over your data.\n\nOur `depot` CLI is a drop-in replacement for `docker build` as we embed Docker `buildx` directly as a library. Anything you can build with Docker today, you can build with Depot on our remote VMs.\n\n![uploaded image](/media/?type=post&id=67759&key=user_uploads/600738/79d72d22-c290-4d0f-87bc-2e2ae2527797)\n\n### Signing up\n\nWe love having new folks try out Depot and throw new questions & feedback our way. It really is the fuel that keeps a new startup going.\n\nIf you’re annoyed by your slow Docker image builds today, we have a 14-day free trial that you automatically get when you sign up here: .", "url": "https://www.ycombinator.com/launches/Hct-depot-a-faster-way-to-build-docker-images", "votes": 37, "created_at": "2022-12-07T14:37:25.884Z" } ] }, { "id": 27713, "name": "Lynx", "slug": "lynx", "former_names": [ "Myly", "CodeComplete AI", "CodeComplete" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/87bf8e05766a109cbdca1dfc5bfa3fa7f69f32d8.png", "website": "https://uselynx.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Lynx is an AI platform that investigates and resolves engineering issues directly in your environment, from data anomalies to production outages. When incidents arise, Lynx will automatically gather information, pinpoint root causes, and execute solutions. Lynx makes incident resolution faster and more reliable, so teams can minimize downtime and focus on building.", "one_liner": "AI platform for investigating and resolving engineering incidents", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1675473274, "tags": [ "Developer Tools", "DevOps", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lynx", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/lynx.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/codecomplete-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/87bf8e05766a109cbdca1dfc5bfa3fa7f69f32d8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 471786, "full_name": "Max Lu", "title": "Founder", "founder_bio": "Founder / CEO at Lynx", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/max-lu-a881b249/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/79ad3c95f1f37d0dff46a8d912bafb7a7a2f898f.jpg" }, { "user_id": 1160505, "full_name": "Lydia Ding", "title": "Founder", "founder_bio": "Founder / COO at Lynx", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/lydia-ding/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/091567207db64e1702fa104875db11a631a42f51.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87299, "title": "Lynx: AI Incident Resolution for Eng Teams", "tagline": "Meet Lynx, the platform to help engineers resolve oncall incidents faster!", "body": "[Lynx](https://uselynx.ai) is an AI-powered incident resolution platform that helps engineers diagnose and resolve on-call issues faster. If you’ve ever been woken up at 2 AM for a production incident and spent hours piecing together logs, metrics, and documentation, Lynx can help. Sign up on our [website](https://www.uselynx.ai/getstarted), reach out to us at [founders@uselynx.ai](mailto:founders@uselynx.ai), or schedule a time with us on [Calendly](https://calendly.com/codecompleteai/lynx-demo).\n\n### The Problem\n\nSoftware engineering has evolved, but on-call hasn’t. Even with the best observability tools, finding the root cause is slow and frustrating: systems grow more complex, documentation becomes scattered, and tribal knowledge gets lost as engineers leave the company.\n\nCompanies need a faster, more intelligent way to diagnose and resolve issues.\n\n### Our Solution\n\nLynx is an AI-powered **incident resolution platform** that allows engineers to easily investigate and resolve issues directly in their development environment.\n\nCheck out our product [demo](https://youtu.be/atzdMyd7PG0)!\n\nWhen incidents arise, **Lynx will automatically gather information, pinpoint root causes, and perform actions to help fix the issue**. Lynx lives on your dev server, so it can connect with all the tools and integrations in your environment. You can directly run code or execute commands on the Lynx platform in order to resolve your issues.\n\n[Lynx Demo - Directly Resolve Incidents](https://youtu.be/TbvYtI5SstQ)\n\nWe built out chain-of-thought command execution so Lynx can automatically generate queries step-by-step and retrieve all the context it needs.\n\n[Lynx Demo - Chain of Thought Command Execution](https://youtu.be/EANK62F75Pc)\n\nWe implemented several safeguards to ensure Lynx only executes read-only commands, but if you want a bit more control, you can opt to manually approve each command before it runs:\n\n[Lynx Demo - Manual Command Execution](https://youtu.be/oGUpwGSPdVQ)\n\nLynx focuses on helping engineers **resolve** incidents instead of just managing them.\n\n### Why We’re Building This\n\nWe started by building self-hosted, fine-tuned AI coding assistants, but we quickly realized coding was just a fraction of an engineer’s workflow. Teams spend just as much—if not more—time testing, debugging, and deploying.\n\nWe saw an opportunity to apply AI beyond generating new code, with on-call standing out as a major pain point. Engineers were losing hours digging through logs, retracing past incidents, and manually correlating data across tools.\n\nLynx was created to streamline incident resolution, but it goes beyond just on-call incidents. Our vision is to create an AI agent that can understands all the ins and outs of your tech stack so it can predict, investigate, and resolve any technical issue.\n\n### **Ask: How you can help**\n\nIf your team has a heavy on-call burden, we'd love to chat about your workflows and pain points.\n\n* Try out our product! Sign up for our waitlist: \n* Introduce us to engineering leaders or teams who might benefit from Lynx.\n\nQuestions? Visit our [website](https://uselynx.ai/), reach out to [founders@uselynx.ai](mailto:founders@uselynx.ai), or schedule a time with us on [Calendly](https://calendly.com/codecompleteai/lynx-demo).\n\n![uploaded image](/media/?type=post&id=87299&key=user_uploads/471786/1e163e61-6d72-4178-b08b-2342f1ad445d)\n\n", "url": "https://www.ycombinator.com/launches/Mi3-lynx-ai-incident-resolution-for-eng-teams", "votes": 23, "created_at": "2025-01-30T14:29:09.564Z" }, { "id": 69046, "title": "CodeComplete - GitHub Copilot for Enterprise", "tagline": "AI coding assistant for enterprise that is self-hosted to protect their IP and fine-tuned to their codebases", "body": "### **TLDR**\n\n[CodeComplete](http://codecomplete.ai) is GitHub Copilot for Enterprise. Large companies can't use Copilot because of the security and privacy risks, so we're building a self-hosted version that’s also fine-tuned to the company's codebase. \n\n**If you (or if you know anyone else who):**\n\n* **Would like to use Copilot at work but cannot, or**\n* **Would like a version of Copilot that’s fine tuned to your enterprise codebase**\n\nPlease reach out to us at [founders@codecomplete.ai](mailto:founders@codecomplete.ai) or schedule a time with us on [Calendly](https://calendly.com/lydia-codecomplete/intro). \n\n—\n\n---\n\nHi everyone, we’re Max and Lydia, and we’re building CodeComplete: an AI-powered code assistant built for enterprise companies. We’re incredibly excited about the advances in generative AI and are on a mission to transform the way developers work. Our code completion product is the first in a suite of AI-powered dev tools we’d like to build. \n\n### **The problem**\n\nWe love GitHub Copilot, but in order to use it, you need to send your code to GitHub, Microsoft, and OpenAI. Many large enterprise companies strictly forbid this due to **security and privacy concerns**, so they cannot leverage AI-powered dev tools to multiply their productivity.\n\nAlso, the underlying **Copilot model is not tuned to your codebase**, so you don't always get relevant suggestions. It’s best practice for developers to use their company’s frameworks and libraries. However, without fine tuning, code generation models can suggest generic code, which decreases legibility and introduces technical debt, performance issues, and security holes in the codebase.\n\n### **The solution**\n\nCodeComplete is a **self-hosted AI coding assistant tool that's fine tuned to your codebase**. We train powerful code generation base models on your codebase so we can deliver more relevant suggestions. We deploy these models directly on-premises or in your own cloud, so your valuable intellectual property stays with your company. With CodeComplete, your team can leverage cutting-edge AI technology to be more productive, quickly ramp up developers, and write better code while staying security compliant.\n\n**Demo**\n\n![uploaded image](/media/?type=post&id=69046&key=user_uploads/1160505/0dbe9136-8d6c-415f-a09e-c6f81bba8ddb)\n\n### **Why we’re building this**\n\nMax wanted to use GitHub Copilot at Meta, but leadership explicitly blocked him from doing so. We believe AI-powered dev tools are the future, and we think they can be especially powerful and deliver value at larger companies. We want to set companies up for success in the long run by helping the millions of developers at these companies leverage new AI technology.\n\n**Buy vs. Build**\n\nThis is not a core competency for many large enterprises. Buying a solution will save millions by freeing up engineering resources and catapulting dev velocity. \n\n### **Ask: How you can help**\n\n* Connect us to an engineering leader at a large company that needs our product. [Email us](mailto:founders@codecomplete.ai)!\n* Connect us to engineers who really want to use Copilot but cannot. [Email us](mailto:founders@codecomplete.ai)!\n* Try out our product. Sign up on our [website](https://www.codecomplete.ai/)!\n* **We will provide a $500 referral bonus if your referral becomes a paying customer.**", "url": "https://www.ycombinator.com/launches/Hxe-codecomplete-github-copilot-for-enterprise", "votes": 45, "created_at": "2023-02-06T14:02:26.861Z" } ] }, { "id": 27867, "name": "DataSuite", "slug": "datasuite", "former_names": [ "Extensional AI", "Extensional", "Extensional AI", "Anarchy AI", "Anarchy", "Anarchy Labs", "TruthSuite" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/98dc541fc5fbbef1e6c9baee61264602e4e64531.png", "website": "https://truthsuite.com", "all_locations": "New York City, NY, USA; Remote", "long_description": "DataSuite provides a way to manage and collect multi-terabyte multi-media datasets, and train generative models (diffusion, gan, interactive video) models based on them. \r\n\r\nWe make it trivial for non-technical builders to create their own networks by providing an instant way to collect with AI without worrying about data formats, unzipping power, caching, or data locality.", "one_liner": "Dataset Management for AI Trainers", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1669080392, "tags": [ "Developer Tools", "Generative AI", "Machine Learning", "DevOps", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Developers need an easy way to collaborate on the step-by-step process of gathering data and training AI models. Out of the box, LLMs can be **>100b** parameters and require **trillion** token datasets. This is more than most organizations are equipped to handle: a few years ago, few had heard of LLMs, and now organizations are scrambling to get ahold of GPUs to train and run them. The famous models are furthermore _proprietary_. Privacy, quality and efficiency needs are leading organizations to _train their own models._ \\\\While training these models, developers are constantly adjusting their datasets. As their projects grow, it becomes harder to keep track of the changes, and figure out what data and models to use and track these things in production." } ], "url": "https://www.ycombinator.com/companies/datasuite", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/datasuite.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/datasuite", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/anarchy-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/98dc541fc5fbbef1e6c9baee61264602e4e64531.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 129728, "full_name": "Matthew Mirman", "title": "Founder", "founder_bio": "Before founding DataSuite, Matt received his PhD in AI from ETH Zurich in 2022 where he scaled verified machine learning from working on 10 neuron toy nets in hours to 100m neuron nets in milliseconds and invented differentiable abstract interpretation and provable training. Before this, he worked at apple on JS compiler optimizations that saved the world a billion dollars in time wasted waiting for pages to load, and before that got an MS from CMU on meta-programming CoC logic languages.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/matthewmirman/", "x_url": "https://twitter.com/mmirman", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0f8c7b0dfce84c3fc75c64878dd889bf64439c0d.jpg" }, { "user_id": 1151451, "full_name": "James Spoor", "title": "Founder", "founder_bio": "A Generalist, with a passion for learning! After living in multiple countries hustling, building and creating, I ended up in Switzerland diving into the deep tech world where I worked at DeepCode, ml on static analysis which was then acquired by Snyk a cyber security unicorn. A fun fact about me is I was once a professional climber. My superpower is caring deeply and understanding through questions... there will be many questions!\n", "is_active": false, "linkedin_url": "https://linkedin.com/in/james-spoor", "x_url": "https://twitter.com/Spoor2709", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5578b222bbf26bfc932bfdd143434fe50587bbf5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 69294, "title": "Anarchy 🧪 - LLM infrastructure for building conversational applications 🏗️", "tagline": "Anarchy provides companies with their own LLM endpoints that can call any APIs", "body": "Greetings YC community! We’re Matt and James, the founders of Anarchy. We’ve been working in AI for a long time (Matt just finished a PhD working on formal methods in deep learning) and have become experts in taming LLMs. We started Anarchy to share these advances with devs who want to use LLMs in production.\n\n### **Problem**\n\nWhile LLMs are beginning to be used as universal text interfaces, developers and prompt engineers are beginning to want consistent and reliable LLMs with agency: LLMs which can search through their ever-changing databases, be able to book meetings, and generally make calls to their APIs. However, coaxing LLMs to behave consistently is black magic requiring constant vigilance, and relying on a single provider can be a risky point of failure.\n\n### **Solution**\n\nOur platform abstracts away the unpredictable work of researching ideal prompts so developers can focus on building business logic: Provide your API and its description, and your LLM-keys, and anarchy will provide you an LLM endpoint (or web-interface chatbot) that can answer questions and solve problems using your API and load-balance between LLMs.\n\n[Here's a short product demo](https://www.youtube.com/watch?v=Qcv_wrCYRds)\n\n![uploaded image](/media/?type=post&id=69294&key=user_uploads/129728/2ecd3d46-6642-49b8-bdf7-8f655f59078e)\n\n### **Ask**\n\nIf this excites you (or anybody you might know, YC or not) and you’d like to try our product, please contact us by [signing up.](https://forms.gle/5rqU282gUKmKPmjm9)\n\nIf you want to have a chat about LLM tech or ask us questions directly, feel free to join our discord: \n\nWe’re also in the process of building up our [twitter](https://twitter.com/anarchy_ai_inc) and [linkedin](https://www.linkedin.com/company/extensional) and would appreciate a follow 🙂!", "url": "https://www.ycombinator.com/launches/I1e-anarchy-llm-infrastructure-for-building-conversational-applications", "votes": 28, "created_at": "2023-02-15T01:33:56.036Z" } ] }, { "id": 27942, "name": "SensorSurf", "slug": "sensorsurf", "former_names": [ "Woeden", "Technician" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/af65fb5b7bd34202e33bb69a39d61b60824c0343.png", "website": "https://www.technician.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Technician helps you get your pull requests merged faster. We do this by listening to your check run logs for failures and provide suggested changes that you can instantly commit to your branch.", "one_liner": "Resolve PR check failures instantly with AI", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1669218295, "tags": [ "SaaS", "DevOps", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "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/sensorsurf", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/sensorsurf.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/technicianai/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/sensorsurf", "github_url": "https://www.github.com/technicianai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/af65fb5b7bd34202e33bb69a39d61b60824c0343.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/27997/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAB65C3NVS%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022711Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJHMEUCIFHXAPmtyBqrp837x%2BtvevEoxnv8Gx58GX3c9rn9bY6wAiEAnoTYvKXZBY2yYnHaniYwouJlCtk3JKIPv4z%2BTXuT688q5QMIOhAAGgwwMDYyMDE4MTEwNzIiDIHC0yiHW7T%2BEq6IKSrCA0mQmdRF2LeGicURdAqTuXKwIBhPfKv03ZZAZzoNtJAkGM8u7vooAxawOKcZPN9WLpeDtSzEM7TuTjQY%2FSS%2FTfEhzvdl500snpvwMuAUX%2FMnVTcl5kj2%2FIsG28zbyz8SPOC4MFZxDJVLkVzZNyPm3Sqhwd3tVb2eAEA3Snlb4tVJoon4gMiENPudPZx1mYan0pV4y%2BvzIh5fSOXOzeCNtxQsghL2vqdt3ZRX4GhG0IaYmwHZ0vFYWZwGU2xHZTPJkKesM7CU%2BMSvC%2BKk9kh8ZiXfIhNiuw%2FOR852%2Bweym8GCQK6sL6vUztSw7YJM3DE7S54GoLMVqJ3pVZ4nRCueNuUDIk5Xcrm%2BnO1D9PDCkuXHfeKAtd5IND0%2F4wYBviiIjCiK4V7c1Te%2BjLtQeECQN5bdreLVcmD0ZFE7SP6Dvl%2BeNrrSzWJHVFMVrMXuYy1wq%2BUAVorlEk4FscLgq3nyCKv61HriR0E6TvRMW6fk5BtLEXX1pdLG9J0wPrD6BS8%2BV21NXMusbpc083g5foxzAm0jcBk1vdGzWZo%2BGnkPgmkjCbFBu%2FG4dGUQ1bjI0EleTOkMK9Gc9hZuAdBXN6Zq1hmsgjDp%2FdrWBjqlAalkHK0yOWpTa7BiFYcBcyXQM0nL9eNLVPHbhsST5McQGckOmastElrLWzEA65ZsOsnbn5TgNPMQCUiMKSoECCtAW%2FTFKN3Ej8hCo8MYzwczme29nAZKN2BjgGewXyGbJcEZLYeLieG3o0UXlAc8xAQtVo7SKkZsv5jz5027mW394DI93TQNDPVYcRXMMcqk6cNJjjQg29oJFm95qhz2pS7W7NvhVw%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=410337ce23a9a748d9ea97c9f1d2bbc4bc83eca0111ec3b52f99f4205f2a88ce", "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1161431, "full_name": "Alexander Bell", "title": "Founder/CEO", "founder_bio": "I'm Alec, co-founder and CTO of ThunderPhone. We build AI voice agents that handle real phone calls for businesses. Before that I was the solo founder of SensorSurf (W23), building data infrastructure for robot fleets. More at alexandertbell.com.", "is_active": false, "linkedin_url": "https://linkedin.com/in/alec-bell", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5ee3cf5f0b509875cc9ba48c61552802f76bd1c.jpg" }, { "user_id": 818148, "full_name": "Noah Epstein", "title": "Founder", "founder_bio": "", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/noahjepstein/", "x_url": "https://twitter.com/noahjepstein", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/54ad22d9ba93992490cb53742df4f6ef10effe4e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 67785, "title": "🏄 SensorSurf - Data infra for robotics", "tagline": "We help robotics companies collect and manage petabytes of data", "body": "> **tl;dr:** Robots produce a lot of data, and it’s a challenge to collect and manage all of it. Our infrastructure enables companies to easily collect, offload, and make use of sensor data.\n>\n> ![uploaded image](/media/?type=post&id=67785&key=user_uploads/1161431/6669487c-0baf-4116-b0b7-1dd6b0ba7ec6)\n\n\n---\n\nHowdy, YC! I’m [Alec Bell](https://www.linkedin.com/in/alec-bell/) from SensorSurf. I love robots, and I’m writing software to make it easier to build them.\n\n### **❌** Problem\n\nRobots generate absurd quantities of data. **A single self-driving car produces up to 1.5 petabytes/year** ([source](https://www.tuxera.com/blog/autonomous-cars-300-tb-of-data-per-year/)). Developers need access to this data to diagnose issues, train models, and run simulations; but it’s hard to get a hold of since its clunky and sits on an edge device. Robotics companies currently build data infra in-house, which is extremely costly.\n\n### ✅ Solution\n\n**SensorSurf offers the infrastructure to collect, offload, and make use of sensor data.** Users can specify where, when, and what data to collect. From there, they can selectively offload it, run queries on it, visualize it, and put it to work for purposes like debugging, annotation, and analytics.\n\n### 👨‍💻 How it works\n\nRobotics companies install **a tiny agent on their robots,** which allows us to establish a connection to our services and **observe their system.** We can then collect data across a fleet of robots and help users manage/search it in the cloud, accounting for network constraints that our customers may experience.\n\n### 👍 Noteworthy features\n\n* [Event-based data collection](https://docs.woeden.com/collection/auto_record)\n* [Rolling buffers/windows of data](https://docs.woeden.com/collection/rolling_buffer)\n* [Data streaming for visualization](https://docs.woeden.com/management/visualize)\n\n### 🙏 Asks\n\n* **Robotics developers:** [**try out our tool**](https://docs.woeden.com/getting_started)**!**\n* Share this post to robotics communities.\n* Connect us with robotics companies and researchers ([founders@woeden.com](mailto:founders@woeden.com)).", "url": "https://www.ycombinator.com/launches/HdJ-sensorsurf-data-infra-for-robotics", "votes": 33, "created_at": "2022-12-08T04:27:20.832Z" } ] }, { "id": 28192, "name": "Skyhook", "slug": "skyhook", "former_names": [ "Koala Ops" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4df2dc3a8591521492f4797ca92971742623b68.png", "website": "https://skyhook.io", "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel", "long_description": "We make running services on Kubernetes as easy as Heroku, but on your cloud and with all the flexibility and power of Kubernetes. Companies use Skyhook so that they don't have to hire dedicated infrastructure engineers.\r\n\r\nAlthough 50-70% of organizations have already adopted Kubernetes, most developers agree that it is too complex and difficult to manage. It is intended to be extremely flexible in order to solve pretty much everyone’s needs, but it can take a ton of work and many auxiliary tools to get there.\r\n\r\nAs companies grow, they spend a lot on DevOps or Platform Engineers that try to reduce the burden on developers by gluing together all the 3p tools via custom internal tools.\r\n\r\nWe are building an “internal developer platform” out of the box, with best practices and golden paths for building and operating services on Kubernetes.\r\n\r\nWe do the research on the latest and greatest tools in the extremely vibrant ecosystem, and automatically integrate for you the tools you want to use.\r\n\r\nWe operate on our customers code and in your Cloud environment, so they never locked in and never restricted, as is common with classic PaaS offerings.\r\n\r\nIf you prefer a fully hosted environment like Heroku, Fly or Vercel, we’ll host a cluster for you and offer you a one-click migration to your own cluster when you want.", "one_liner": "PaaS-like experience with the power of Kubernetes, on your cloud", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1677416596, "tags": [ "Developer Tools", "SaaS", "B2B", "Kubernetes", "DevOps" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Israel", "Middle East and North Africa", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/skyhook", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/skyhook.json", "year_founded": 2023, "city": "Tel Aviv-Yafo", "country": "IL", "linkedin_url": "https://www.linkedin.com/company/skyhook-io", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/skyhook-io", "github_url": "https://github.com/skyhook-io", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4df2dc3a8591521492f4797ca92971742623b68.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/01183b0b057b61e1d3b92a001dc8882ec033a95c.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1233800, "full_name": "Nadav Erell", "title": "Founder", "founder_bio": "Experienced Software Engineer and team leader, with a passion for technology, product and strategy.\n\nSpent 9 years at Google working on Identity and Authentication, internal Google User Analytics, Notifications infrastructure, and Google Cloud, with multiple roles as TL / Architect.\n\nStudied Computer Science and Electrical and Computer Engineering (double degree) at Ben-Gurion University, graduating Summa Cum Laude in both.\n\nServed as an Intelligence Analyst in Unit 8200 in the Israeli Army.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nadav-erell/", "x_url": "https://twitter.com/nadaverell", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/77bd824548fd700e13ef12c5620d8ff8a63df0e4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 69952, "title": "Skyhook - Kubernetes the easy way 🚀", "tagline": "We make running services on Kubernetes as easy as Heroku, but on your cloud and with all the flexibility and power of Kubernetes.", "body": "**TL;DR; We help you set up production-ready services in minutes instead of days and weeks, with all the tools you need and Kubernetes best practices out of the box, so that you can focus on your code. [Talk to us](https://calendly.com/oded-koalaops/meeting) to learn more!**\n\n**Also, if you need help with migrating/working with Kubernetes please [contact us ](https://mailto:founders@skyhook.io)for a free consultation. We’d love to learn and help.**\n\nHi everyone, we’re Oded Regev and Nadav Erell, the founders of [Skyhook](https://www.skyhook.io/?utm_source=ycombinator&utm_medium=website&utm_campaign=yclaunch).\n\n![uploaded image](/media/?type=post&id=69952&key=user_uploads/1233799/182a0cd6-8737-48d0-9543-543907a62b1b)\n\n[**Nadav, CTO**](https://www.linkedin.com/in/nadav-erell/) formerly a Staff Software Engineer and an experienced team leader and architect at Google. Deep technical experience building scalable, robust systems in cloud native environments.\n\n[**Oded, CEO**](https://www.linkedin.com/in/odedregev/) founded and led Cherrypick Consulting for 7 years with diverse customers including Gong.io, Mixtiles, Outbrain, OpenWeb and many more. \n\n# The Problem\n\nAlthough [50-70%](https://www.cncf.io/reports/cncf-annual-survey-2022/) of organizations have already adopted Kubernetes, most developers agree that it is too complex and difficult to manage. It is intended to be extremely flexible in order to solve pretty much everyone’s needs, however, it can take a ton of work and many auxiliary tools to get there.\n\nAs companies grow, they spend a lot on DevOps or Platform Engineers that try to reduce the burden on developers by gluing together all the 3rd party tools via custom internal tools.\n\n# Our Solution\n\nWe give you an “internal developer platform” out of the box, with best practices and golden paths for building and operating services on Kubernetes.\n\n![uploaded image](/media/?type=post&id=69952&key=user_uploads/1233799/9f8423a0-3f16-48f6-911c-d8e6234bfbc1)\n\nWe do the research on the latest and greatest tools in the extremely vibrant ecosystem, and automatically integrate for you the tools you want to use.\n\nWe operate on your code and in your Cloud environment, so you’re never locked in and never restricted, as is common with classic PaaS offerings.\n\nIf you prefer a fully hosted environment like Heroku, Fly or Vercel, we’ll host a cluster for you and offer you a one-click migration to your own cluster whenever you want.\n\n# **Our Ask 🙏**\n\n[Contact us](https://mailto:founders@skyhook.io) - We have a few last slots left in our beta - we’d love to see if we can help you step up your Kubernetes game or migrate, so that you can focus on building your own product instead of configuring YAML files and tools all day.\n\n### **We also offer free Kubernetes consultation!**\n\nPlease [contact us](https://mailto:founders@skyhook.io) or [book time](https://calendly.com/nadaverell) - we’d love to assist, even if you don’t end up using our product. Learning about real-life challenges that you are facing and trying to help you navigate them helps inform our roadmap and focus.", "url": "https://www.ycombinator.com/launches/ICG-skyhook-kubernetes-the-easy-way", "votes": 49, "created_at": "2023-03-05T21:35:40.921Z" } ] }, { "id": 28846, "name": "Parea", "slug": "parea", "former_names": [ "OptimusPrompt", "Parea AI", "Parea", "Parea AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/32972e7b6074f606373a477c496dcde4a5e81219.png", "website": "https://www.parea.ai", "all_locations": "New York City, NY, USA", "long_description": "Parea AI is the essential developer platform for debugging and monitoring every stage of LLM application development. We provide testing, evaluation, and monitoring in one unified platform. These capabilities help developers get visibility into LLM responses, quickly test and optimize prompts, and ensure customers get the best user experience.", "one_liner": "Test, evaluate & observe your LLM applications", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1685551349, "tags": [ "Developer Tools", "Generative AI", "SaaS", "DevOps", "Monitoring" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/parea", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/parea.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/parea-ai", "x_url": "https://twitter.com/PareaAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/parea-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/32972e7b6074f606373a477c496dcde4a5e81219.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 699950, "full_name": "Joel Alexander", "title": "Founder", "founder_bio": "Senior Software Engineer at Lyft.\nJ.P. Morgan TMT Investment Banking.\nBA @ Columbia University.\nMSc @ New York University", "is_active": true, "linkedin_url": "https://linkedin.com/in/ajoeljr", "x_url": "https://twitter.com/joel_a_wilde", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7fdaebd022c79889e713b8b3d9e023ba6a0e1b65.jpg" }, { "user_id": 501039, "full_name": "Joschka Braun", "title": "Founder", "founder_bio": "Published my first paper in the highest-ranked number theory journal at age 17. Continued to pursue math until my M.Sc. from NYU as a Fulbright scholar. Noticed AI has more real world applications than math and started researching applications of deep learning to medical imaging at Covera Health. Built semantic search systems and automatic code generation software at Jina AI.\n\nhttps://joschkabraun.com", "is_active": true, "linkedin_url": "https://linkedin.com/in/joschkabraun", "x_url": "https://twitter.com/joschkabraun", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9a835cbd9621cf7321af15246517e2417f3c0063.jpg" } ], "jobs": [], "news": [ { "title": "Y Combinator Demo Day 2023: Our favorites Day 2 | TechCrunch", "url": "https://techcrunch.com/2023/09/07/ycombinator-demo-day-two-summer-2023/", "date": "Sep 07, 2023" } ], "launches": [ { "id": 82145, "title": "Parea AI - Aligned & reliable LLM evaluations", "tagline": "Automatically create LLM-based evals aligned with human judgement", "body": "**tl;dr:** [Parea AI](https://www.parea.ai/) automates the creation of evals for your AI products. We achieve this by bootstrapping an evaluation function with human annotations. Allowing you to automagically turn “vibe checks” into scalable and reliable evaluations aligned with human judgment.\n\n# **😩 The Problem**\n\n![uploaded image](/media/?type=post&id=82145&key=user_uploads/501039/78024ed1-9aa2-4be8-a022-359d82b9ac59)\n\nEvaluating free-form text is often only possible by humans reviewing outputs or using LLMs to evaluate them. The former is laborious, slow, and expensive, while the latter often fails to evaluate the outputs correctly. For LLM evaluations to work properly, one needs to prompt engineer them; i.e., they require their own optimization process.\n\n# **🚀 The Solution**\n\n![uploaded image](/media/?type=post&id=82145&key=user_uploads/501039/b7c1f4c7-b654-40e6-9e1d-84ab93f4ad5f)\n\nThe best [LLM evals](https://joschkabraun.com) are adapted to your particular business use case & data. We've developed a method for uploading human annotations (via CSV or using our [Annotation Queue](https://docs.parea.ai/manual-review/queue)) and bootstrapping an evaluation to mimic the annotations. To create a human-aligned eval, you need as few as 20 sample annotations. Using your new LLM eval is as easy as copying the code into your codebase or using it directly via Parea's API. Check out [our docs](https://docs.parea.ai/manual-review/bootstrapped-eval) to see the complete workflow.\n\n# **🙏 Our Ask**\n\n* **Get started** on [**our free tier,**](https://app.parea.ai/sign-up) or [**book a chat**](https://calendly.com/parea-ai/chat) to discuss how we can help you evaluate your AI app!\n* **Support our** [**launch** **tweet**](https://x.com/JoschkaBraun/status/1812884216444510233) and follow us on [**LinkedIn**](https://www.linkedin.com/company/parea-ai/) and [**Twitter**](https://x.com/PareaAI)\n* **Share Parea** **AI** with anyone you know who is facing challenges [evaluating AI & LLM systems](https://joschkabraun.com).", "url": "https://www.ycombinator.com/launches/LMv-parea-ai-aligned-reliable-llm-evaluations", "votes": 8, "created_at": "2024-07-15T16:47:45.697Z" }, { "id": 73431, "title": "Parea AI – DataDog for LLM apps", "tagline": "Parea AI helps developers ideate, evaluate, and manage LLM-powered applications to consistently deliver quality user experiences.", "body": "**TL;DR:** [**Parea AI**](https://www.parea.ai/?utm_source=yc&utm_medium=post&utm_campaign=launch_yc&utm_content=tldr) is the essential developer platform for debugging and monitoring every stage of LLM application development. We provide debugging, testing, evaluation, and monitoring in one unified platform. These capabilities help developers get visibility into LLM responses, quickly test and optimize prompts, and ensure customers get the best user experience.\n\n![uploaded image](/media/?type=post&id=73431&key=user_uploads/699950/7cd2fa60-436e-46c0-b266-b88f3fd66b8c)\n\n### 🤔 **The Problem**\n\nLLMs hold infinite promise, but translating this potential into practical applications can be complex. Crafting precise prompts or building effective chains, tracking their performance, and optimizing them currently involves a disparate array of tools and a steep learning curve, leading to decreased productivity and increased time to market. This trial-and-error process can become taxing; in the words of one of our customers, **\"reading 1000s of words from ChatGPT outputs a day takes the fun out of building**.**\"**\n\n### 💡 **The Solution**\n\nParea was conceived to streamline this journey by simplifying the entire process of creating and managing LLM-powered systems. Our intuitive UI enables developers to **debug and test** their **prompts/chains**, offering deep visibility into the best-performing changes that dramatically improve LLM responses. The built-in Lab module lets you **compare various prompts, models, and parameter configurations side by side**, transforming rigorous testing into an insightful and fun task. Post-deployment, our robust **API ensures you have comprehensive analytics**, performance insights, and a complete tracking system for optimizing your application to excel in delivering user experiences.\n\n### 🚀 **Who is it for:**\n\nParea is for developers, AI enthusiasts, and organizations with a vision to leverage the power of LLMs. Whether you're a small team working on an LLM-driven product or a large company developing complex LLM-powered applications, **Parea simplifies the process and accelerates your time-to-productivity**.\n\n### 🎉 **Meet the Parea team**\n\nJoel and Joschka met in New York City and bonded over philosophy, learning, and of course, start-ups!\n\nJoel is a true Renaissance man. His quest has led him from a published microbiology researcher to International Politics at the Council of Foreign Relations, to learning Russian in Moscow, working on >$100B of M&A deals at J.P Morgan, and most recently honing his self-taught coding skills as a SWE at Lyft. With Parea AI, he's committed to enhancing the productivity of every AI builder.\n\n[Joschka](https://joschkabraun.com) is our Wunderkind. He published a paper in the highest-ranked Journal for Number Theory at age 17, graduated college at 19, took a gap year to do Kung Fu in China, then completed his Master's at NYU as a Fulbright scholar. Joschka spent the last 3 years on the AI/ML frontline doing computer vision at Covera Health, and semantic search & LLMs at Jina. Parea was born to tackle the issues he'd faced in debugging and building LLM applications like DevGPT.\n\n![uploaded image](/media/?type=post&id=73431&key=user_uploads/699950/4bdf0da2-6bfd-4139-8f0c-ea7e826fd062)\n\n### ❤️ **Our Ask**\n\nWe invite you to explore [Parea’s](https://www.parea.ai?utm_source=yc&utm_medium=post&utm_campaign=launch_yc2&utm_content=cta) capabilities for your LLM solution and join our welcoming community. Follow us on [Twitter](https://twitter.com/PareaAI) and on [LinkedIn](https://www.linkedin.com/company/parea-ai/).\n\nIf you have any questions or would like a personalized onboarding session for your team, write us at [founders@parea.ai](mailto:founders@parea.ai)", "url": "https://www.ycombinator.com/launches/J6N-parea-ai-datadog-for-llm-apps", "votes": 128, "created_at": "2023-07-26T03:34:53.972Z" } ] }, { "id": 29073, "name": "Terracotta AI", "slug": "terracotta-ai", "former_names": [ "Monitaur", "Monitaur (Pivoted)", "Monitaur", "OpsBerry AI (formally Monitaur)", "OpsBerry AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7901d3a776bcd60d2813e642a8814ea750bb84ef.png", "website": "https://tryterracotta.com", "all_locations": "Las Vegas, NV, USA", "long_description": "Terracotta AI is an AI-powered Infrastructure as Code PR reviewer for Terraform, OpenTofu, and CDK-TF code, making Infrastructure as Code changes more transparent, less risky, and faster.\r\n\r\nTerracotta stops your Infrastructure as Code deployments from becoming ticking time bombs every time you modify your environment with AI-driven, contextual feedback delivered directly to your pull requests.", "one_liner": "AI-powered Infrastructure as Code PR reviews", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1686680826, "tags": [ "Developer Tools", "DevOps", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/terracotta-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/terracotta-ai.json", "year_founded": 2023, "city": "Las Vegas", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tryterracotta", "x_url": "https://x.com/tryterracotta", "fb_url": null, "cb_url": null, "github_url": "https://github.com/enfraxyz", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7901d3a776bcd60d2813e642a8814ea750bb84ef.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/eabe482f39bc0afc6cc8d9d7d476984b577f043f.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 925045, "full_name": "Carlos Feliciano", "title": "Founder", "founder_bio": "Co-founder and CEO of Terracotta AI. Over a decade of experience in Infrastructure, monitoring, and operations at YC-backed startups and large enterprises. AWS Solutions Architect. Love PC gaming, fitness, the beach, and just good vibes!", "is_active": true, "linkedin_url": "https://linkedin.com/in/carlosfelicianoii", "x_url": "https://twitter.com/gtlpanda", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eeaf8878cafd92cf0af4729b52597c4c0f51b0a8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 91358, "title": "Terracotta AI - AI agents for Infrastructure as Code workflows", "tagline": "Intelligent preflight checks for your Infrastructure as Code workflows inside of your PR", "body": "# **tl;dr**\n\nPlatform and DevOps teams are still catching Terraform issues after they break production. Terracotta AI brings AI-powered review directly into PRs, analyzing your code, state, and live cloud resources to prevent problems before any workflow triggers.\n\n**Try Terracotta AI for free at [https://tryterracotta.com](https://tryterracotta.com)!**\n\nhttps://www.youtube.com/watch?v=QyzyiJVeZqU\n\nhttps://www.youtube.com/watch?v=GuSfvcYllZo&t\n\n# **Problem**\n\nEven the simplest Terraform changes can break production in unexpected ways and can take a significant amount of time to debug and fix.\n\nPlatform teams have developed sophisticated DevOps practices, including module catalogs, compliance policies, and continuous integration/continuous delivery (CI/CD) pipelines.\n\nHowever, even with senior engineers reviewing pull requests (PRs), critical issues still slip through, including drift conflicts, hidden dependencies, and blast radius across services that you didn't know were connected.\n\nThe problem isn't a lack of processes. It's that humans can't consistently analyze Terraform changes against live cloud state, remote state, and downstream dependencies simultaneously. Traditional tools catch problems after the PR is approved or deployed, not before.\n\n# **Solution**\n\n![uploaded image](/media/?type=post&id=91358&key=user_uploads/925045/89ae62a4-eb80-4d9e-95d5-e2af0684740a)\n\nWe created a purpose-built AI agent for Infrastructure as Code (IaC) workflows that seamlessly integrates into your IaC pipeline, contextualizing and providing real-time feedback directly within your pull requests.\n\nTerracotta AI analyzes every Terraform change against the most critical contexts in your IaC deployment pipeline and provides accurate, contextual, actionable feedback inside of your PR:\n\n* **Your IaC code** — syntax, structure, linting, and more\n* **Local plan state** — what Terraform thinks will happen\n* **Live remote state** — What should be deployed\n* **Live cloud resources** — what actually is deployed\n\nWe instantly surface the issues that break production:\n\n* Drift and state mismatches\n* Threat vectors and misconfigurations\n* Hidden blast radius and downstream risk\n* Cost anomalies and compliance violations\n* Cross-PR conflicts for resource modifications\n\nEverything happens as soon as the PR opens, before any CI/CD workflow triggers, and serves as an early detection system for hidden risks and issues that might enter your production environment.\n\n# **Traction**\n\nWe're working with platform engineering and DevOps teams at SupportLogic, LaminatedLabs, and others who are catching issues they would have missed and deploying with confidence rather than crossing their fingers.\n\n\"Terracotta has helped my DevOps team ship Terraform faster and with more clarity. It catches cost impacts, exposed secrets, potential threat vectors, and even cross-PR conflicts before we trigger our CI/CD pipelines. It's been a huge win for both speed and compliance and an overall boost in confidence in helping manage Terraform across all our environments.\" - **Tyler Pinckard - Head of Software Engineering, DevOps & Security at SupportLogic**\n\n**SupportLogic Case study:** https://tryterracotta.com/case-study/supportlogic\n\n# **Our ask**\n\nIf your team is tired of Terraform, OpenTofu, and CDK-TF surprises in production, let's show you a 15-minute demo or sign up for a free 14 day trial at https://tryterracotta.com.\n\nEmail us: [founders@tryterracotta.com](mailto:founders@tryterracotta.com)", "url": "https://www.ycombinator.com/launches/NlW-terracotta-ai-ai-agents-for-infrastructure-as-code-workflows", "votes": 16, "created_at": "2025-06-16T22:20:23.169Z" }, { "id": 82694, "title": "OpsBerry AI - Secure your identity sprawl", "tagline": "Defending against identity-driven breaches with AI. ", "body": "![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/926203d7-e2a0-45cd-b97b-d38419a524b4)\n\n**TL; DR** —[OpsBerry AI](https://d2lssd04.na1.hs-sales-engage.com/Ctc/ZW+23284/d2LsSd04/Jks2-6qcW69sMD-6lZ3lyVmsNqH4X0sgdW5TPVYB7bLMr0W6gCpW-7YVgsNW1bvyKV6VTFTXVcRKMB84G-_WW68Bq2C90_lXpW6_BGLs6C_-0yW4lQkxg4FflCWW8rtXpw1ppdmgW2NfKVX6P8tfhW5nXNYm10nsb3W4lyMqq6LVSVZV_cQzJ8LnY0rW5Vt27w62FFv5W2Q4pWc4Z67KLW3kFQKk6ZC34bW68q3RQ3jfwPVW1ztCL98bbKldW685KMM36rzGDW8SMnJ02zDZD_f5nZ8xj04) is an Identity Security Posture Management Platform that uses AI trained with the latest cybersecurity and compliance frameworks to help organizations proactively control, secure, and defend their human and non-human identity sprawl against identity-driven attacks. We help security and engineering teams quickly unify, analyze, and remediate critical vulnerabilities in their identity sprawl into a single pane of glass across central cloud, identity, and ZeroTrust providers.\n\n# **The team**\n\n![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/f8edf5e2-f5ee-4acb-8df8-3284f47601f0)\n\n[**Carlos**](https://www.linkedin.com/in/carlosfelicianoii/) is the company's CEO. He handles the business end, infrastructure, security, architecture, and technical operations. He has over 15 years of experience in Cloud infrastructure, architecture, and observability. Before Y Combinator, Carlos was Director of Solutions Architecture and technical customer success at [OpsRamp](https://opsramp.com), multi-cloud and hybrid observability, and ITSM (acq. by HPE), helping enterprises like Micron, Dolby, Epsilon, and others architect end-to-end observability across their multi-cloud environments. Before that, Carlos was an engineering and technical support manager for [LogDNA](https://mezmo.com) (YC S15).\n\n[**Casey**](https://buildspace.so/) is the company's CTO. With over 16 years of experience architecting and shipping code for his business ventures, Casey started by building and selling Runescape bots when he was 12. This eventually led him into various software engineering roles at YC-backed startups like [Buildspace](https://buildspace.so) and Farmstead. Casey runs the product side of the house, handling UIUX design, software architecture, and development, and ultimately, shipping amazing enterprise code.\n\n# **What is causing the rapid increase in identity-driven breaches and why?**\n\nIdentity security is often overlooked and underestimated, leaving organizations vulnerable to unauthorized access, data breaches, and compliance failures. User-based identities are steadily growing annually at a 30% rate, with most employees having two or more identities that allow access to critical business and engineering systems, which is only part of it. NHIs, or Non-Human identities (think OAuth apps, API keys, Service Accounts, etc.), are increasing even faster at 50%, or said otherwise, four or more NHIs per every employee.\n\nIn 2023 alone, 84% of organizations suffered at least one identity-based attack, which averaged $4.5 million in cost. The number of breaches has grown at a steady 50% yearly since 2020 (Source: ISDA). That's not all; unrealized fallout from these breaches after the fact tends to include legal repercussions, loss of customers, increased security costs, higher insurance premiums, reputational repair, loss of intellectual property, and more.\n\n![](https://www.idtheftcenter.org/wp-content/uploads/2024/01/ITRC-DataBreachReport-2023-Infographic-H-1024x791.jpg.webp)\n\nUser identities are only one attack vector in your identity security posture; machine-based identities like API keys, OAuth apps, service identities, and other NHIs are critical attack vectors for businesses. Partially offboarded identities, orphaned human and non-human identities, identity privilege creep, overprivileged access, and shadow accounts that fly under the radar, like non-sso access, gen-AI tools, and other IT internal systems, eventually snowball out of control and exponentially increase the potential for identity-driven breaches across critical engineering and business environments.\n\nFor businesses struggling to maintain compliance and adhere to regulatory requirements, these unchecked identity issues lead to significant compliance and regulatory problems. Organizations face increased risks of failing audits, substantial fines, and even reputational damage due to their inability to manage and secure their identity sprawl effectively.\n\n# **How does OpsBerry solve this with AI?**\n\nOpsBerry AI defends against human and non-human identity breaches using AI to continuously discover, prioritize, and remediate vulnerabilities and risks in your identity sprawl. Our AI-powered identity security posture management platform, trained with popular cyber security and compliance frameworks, provides comprehensive visibility and contextualization across your user accounts, service accounts, API keys, OAuth apps, and more, keeping your organization safe from identity-driven attacks.\n\n# **How it works**\n\n![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/41846940-aa9e-44ae-948b-39ed31b48d7a)\n\n👀 **Automated Identity risk assessments**—We automatically gather all information about each identity and generate in-depth risk assessments with AI, instantly surfacing gaps, vulnerabilities, and threats.\n\n![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/019721bf-ba26-4e5d-abd6-af44511dabae)\n\n👥 **Shadow identities**—let AI surface the identities that hide in the shadows and quickly identify “unknown unknown” identity risks in your identity secure posture. Quickly surface and remediate shadow accounts across human and non-human identities, such as non-sso user accounts, API Keys and tokens, service accounts, orphaned identities, unmonitored privileged accounts, and more. This is the quickest way to transform hidden risks into strategic cost savings.\n\n![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/ecaaaa23-83bd-40d6-9f1e-d2c3a169e380)\n\n**🌱 Lifecycle management and remediation** are the easiest ways to control and secure your human and non-human identity posture. Drop-and-drop no-code automation lets you build streamlined self-service workflows to quickly onboard and offboard identities, remediate risks, and defend against identity-driven breaches.\n\nAnd much more in the works!\n\n![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/968ba4e4-c7d3-4379-b992-3f6781f46563)\n\n![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/dda6bfd7-7e40-42e1-aca1-1c14c25ec780)\n\n![uploaded image](/media/?type=post&id=82694&key=user_uploads/925045/119b7479-a979-48a4-ac8b-2d3b7c3a0fb0)\n\n# **Our ask**\n\nNeed help wrangle your identity sprawl with an identity security platform that’s like having your very own in-house identity security expert? We’d love to work with you!\n\nRegardless of your company size, industry, or role, if you’re serious about protecting against identity breaches and want to take real control of your identity sprawl, we’d love to chat and show you a demo! Email [carlos@opsberry.ai,](mailto:carlos@opsberry.ai) or you can even set a time on our [Calendly](https://calendly.com/opsberry/opsberry).\n\n# Socials\n\n[OpsBerry AI (Y S23)](https://opsberry.ai)\n\n[X](https://x.com/opsberryai)\n\n[Linkedin](https://www.linkedin.com/company/opsberryai)", "url": "https://www.ycombinator.com/launches/LVm-opsberry-ai-secure-your-identity-sprawl", "votes": 34, "created_at": "2024-08-02T19:49:51.530Z" } ] }, { "id": 29312, "name": "OneGrep", "slug": "onegrep", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7a7195a4d8bec15ad4ae4cd76acb1103fb1d125.png", "website": "https://www.onegrep.dev", "all_locations": "New York City, NY, USA", "long_description": "OneGrep is a DevOps Agent that helps engineers automate manual devops tasks. It works across integrations that teams have to search, correlate, and operate automated tasks like runbook automation during incidents.\r\n\r\nOneGrep specializes across devops tools to help teams release code faster and more reliably so that engineers can spend more time building rather than being trained in bespoke tools like Observability, Ci/Cd, or Infra.\r\n \r\nAchintya and Brian are technical co-founders who have deep domain expertise in building and operating systems at scale at Coinbase, Disney, and Amazon. Achintya led the Search Team at Disney enabling DisneyPlus to scale to 70M users in two weeks. Brian was a founding engineer on the team that built the Incident Management Platform at Amazon that helps 30k DAUs in Amazon resolve critical incidents every day.\r\n \r\nhttps://www.onegrep.dev", "one_liner": "AI Agent for DevOps Workflow Automation", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1706125160, "tags": [ "Generative AI", "B2B", "DevOps", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "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/onegrep", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/onegrep.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/onegrep", "x_url": "https://twitter.com/one_grep", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7a7195a4d8bec15ad4ae4cd76acb1103fb1d125.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": 108240, "full_name": "Achintya Ashok", "title": "Founder/CEO", "founder_bio": "Achintya is a Co-Founder and the CEO of OneGrep which he started with Brian Cripe in late 2023. OneGrep saves engineers time by automatically generating insights that improve the usefulness of their Observability Data.\n\nAchintya has worked in engineering highly distributed systems at Coinbase, Disney Streaming, & Goldman Sachs. In a previous life, he was the Tech Lead of the Search Team at Disney Streaming responsible for serving contextual experiences to 70-million customers in real-time.", "is_active": true, "linkedin_url": "https://www.linkedin.com/profile/view?id=AAIAAAgz8egBvjGL53N3zhzkhhR7N5gfUrh7GJE", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6631e066852b42d777a2c3f8d40db47c3facb8ed.jpg" }, { "user_id": 1638809, "full_name": "Brian Cripe", "title": "Founder/CTO", "founder_bio": "Brian Cripe is the co-founder and CTO of OneGrep, which he started with Achintya Ashok in 2023. OneGrep saves engineers time by automatically generating insights that improve the usefulness of their Observability Data. Brian brings over a decade of experience in the areas of developer-tools, distributed systems, and real-time analytics from companies such as 'Amazon', 'Tableau', and 'Coinbase'.", "is_active": true, "linkedin_url": "https://linkedin.com/in/briancripe", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/64592762877342f7831fb7af9c3ac35fbde5b12b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 79014, "title": "OneGrep — Reduce Observability costs and resolve incidents faster", "tagline": "OneGrep makes observability efficient and actionable for fast-moving teams.", "body": "**TL;DR** — [OneGrep](https://www.onegrep.dev) is every engineer’s dedicated Observability Copilot. OneGrep helps engineers resolve incidents 10X faster and more efficiently. We do this by fine-tuning LLMs with real-time telemetry as well as knowledge bases that engineers use to operate their production systems.\n\nTeams can deploy OneGrep on their own infrastructure or use our cloud. If you are an engineer, we invite you to try us out! [onegrep.dev/try](http://onegrep.dev/try)\n\n# Problem\n\nEvery engineering team struggles with observability cost bloat and incident management when they are moving fast.\n\n![uploaded image](/media/?type=post&id=79014&key=user_uploads/108240/27337479-43ff-4af3-b1a9-33d826abd4ce)\n\n### Why Does This Happen?\n\n🔨 — Engineers find it hard to instrument code effectively and they make unintentional, costly mistakes.\n\n![](https://lh7-us.googleusercontent.com/g9TzD8RlqcCxPkwE7FDt9EuRHrZacWUc3fjAOJ1eHWblTPS1dqTzJ5sis9UQnzvZowvDTLBHUb-UU3PFE8rFuDxhvka5E_tolNjX50lmjnb3fs6QujAC9pdvaou9metU2ji-8Y1_kF2s5EVNmKcuGw)\n\n📲 — On-call engineers find mitigating incidents to be very difficult because it is hinged on tribal knowledge and tool know-how.\n\n* Engineers spend **25%** of their time on on-call-related work, which equates to companies spending \\~**$61,000** per engineer for on-call work  — _and that’s not including the DataDog bill._\n\n**TL;DR —** Engineers struggle to find answers using observability and pay a lot for unintentional mistakes.\n\n# ✅ Solution — Have your cake & eat it too\n\nEngineers can use OneGrep to make telemetry **actionable** and **efficient**.\n\nHere’s a **13-second** example of OneGrep cutting noisy logs **by 50%** and saving a team thousands of dollars:\n\n![uploaded image](/media/?type=post&id=79014&key=user_uploads/108240/6322e5bd-87f6-43aa-a402-3d35bf8bf167)\n\nAnd here is an example of OneGrep helping an engineer automatically resolve an incident — ✔️ gone are the days of reading through retros, parsing logs, or pinging the entire team:\n\n\n\nCut costs & resolve incidents faster with OneGrep.\n\n——\n\n# Who We Are\n\nWe are [Achintya](https://www.linkedin.com/in/achintya-ashok/) & [Brian.](https://www.linkedin.com/in/briancripe/) We have applied telemetry best practices to highly distributed systems at Coinbase, DisneyPlus, AWS, Tableau, & Goldman Sachs. We hated our daily struggle with observability and we know how and why other engineers do too. We share the plight of all engineers who have struggled and continue to struggle with noisy alerts at 2 AM.\n\nSo, in the pursuit of helping engineers sleep more soundly knowing their systems are operational, we are on a mission to build the new way to do Observability.\n\n![](https://lh7-us.googleusercontent.com/DOphP_OzGeKanLDxit_2BMc3PtjCdDwIX-Vmf2UUAMjAx4S-Um0TqYn3n_e2ervRbp-PhBJ3ReDfR6IlJUbuGlH_O7BEtjjZDnVnvsaBe3eJgc0KxoLjvoBNRMvC5SnfwwTAi5ux1GUb7zzEEBN52w)\n\n_— Brian & Achintya inspecting the Y Combinator sign for any errant logs._\n\n## ➡️ Our Asks\n\n▶️ Do you have high DataDog bills? [Book a demo with us](https://cal.com/teamonegrep/demo).\n\n▶️ Do your engineers wish their on-call was better? [Learn how we can help](https://cal.com/teamonegrep/learn-in-30) or send us an email at [contactus@onegrep.dev](https://mailto:contactus@onegrep.dev).", "url": "https://www.ycombinator.com/launches/KYQ-onegrep-reduce-observability-costs-and-resolve-incidents-faster", "votes": 44, "created_at": "2024-03-04T18:09:38.939Z" } ] }, { "id": 29569, "name": "Miru", "slug": "miru-ml", "former_names": [ "Continuous AI", "Miru ML", "Miru", "Miru ML" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f8c54103232ce6ad4a91f33685eeaecbcd4d224.png", "website": "https://www.mirurobotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "Miru makes it easy for robotics teams to manage, version, and deploy robot configurations. Developers use our well-documented APIs and UI components to automate configuration updates for both engineers and operators.\r\n\r\nIn the long term, we're building software infrastructure to accelerate the automation of the physical world.", "one_liner": "Config Management for Robotics", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1722117145, "tags": [ "Developer Tools", "Robotics", "DevOps" ], "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/miru-ml", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/miru-ml.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/miruml", "x_url": "https://x.com/mirurobotics", "fb_url": null, "cb_url": null, "github_url": "https://github.com/miruml", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f8c54103232ce6ad4a91f33685eeaecbcd4d224.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": 620575, "full_name": "Armel Talla", "title": "Founder/CEO", "founder_bio": "Armel is the Co-Founder and CEO of Miru.\n\nHe graduated from UT Austin with a B.S. in Computer Science and Mathematics. He previously founded Clips AI, an AI video dev tool that automatically repurposes long videos into clips. During college, Armel interned at Google and YouTube, focusing on building internal tools.", "is_active": true, "linkedin_url": "https://linkedin.com/in/armeltalla", "x_url": "https://twitter.com/armelwtalla", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/40ee8e8adf3b9d90905f829608ed5f600d2b079b.jpg" }, { "user_id": 1035647, "full_name": "Vedant Nair", "title": "Founder", "founder_bio": "Vedant is the Co-Founder and COO of Miru.\n\nHe graduated from UT Austin, where he studied Business and Computer Science. He previously founded Clips AI, an AI video developer tool that automatically repurposed long videos into clips. During college, he interned at Bain & Co. and EY-Parthenon, doing GTM consulting for software companies.", "is_active": true, "linkedin_url": "https://linkedin.com/in/vedantnair", "x_url": "https://x.com/vedantnair__", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2bf4c979b9371b48d25473b333207ae536ec3e6b.jpg" }, { "user_id": 1521401, "full_name": "Benjamin Smidt", "title": "Founder/CTO", "founder_bio": "Ben is the Co-Founder and CTO of Miru. \n\nHe holds a B.S. in Electrical and Computer Engineering from UT Austin, where he initially spent two years studying Mechanical Engineering, igniting his passion for hardware and robotics. Prior to Miru, Ben founded Clips AI, where he developed production-ready AI models and video processing servers using Kubernetes.", "is_active": true, "linkedin_url": "https://linkedin.com/in/benjamin-smidt", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dd7148f07187d171dea5d0364ead07b775dc74f5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 82564, "title": "Miru - Deployment infrastructure for Robotics and IoT 🦾", "tagline": "Deploy software updates over the air to fleets of devices", "body": "**tl;dr:** Miru helps robotics and IoT teams painlessly deploy software over the air, provision devices, and manage versioning for their fleets.\n\nFor engineers using Miru, _updating software on thousands of devices is as easy as pushing a change to GitHub._\n\n**Our Ask:** Engineers in robotics and IoT, [get started with Miru today!](https://www.miruml.com/)\n\n![uploaded image](/media/?type=post&id=82564&key=user_uploads/1035647/c64f81c9-695b-472e-bab9-5687c4eef19f)\n\n**❌ The Problem**\n\nRobotics and IoT companies don’t have robust, off-the-shelf DevOps tools.\n\nAs a result, to deploy their software, they’re forced to manually SSH/SCP into their devices or build a hacky solution internally.\n\n**But building this infrastructure is costly.** These companies often need to dedicate more than half of their software team to build and maintain their custom internal tools. This balloons engineering costs and decreases product velocity.\n\nIt’s one of the reasons **why many of these companies die.**\n\n**🦾 Miru**\n\nMiru helps engineers build and maintain their deployment pipelines, saving them months of work.\n\nWith Miru, you can:\n\n1. Push changes to GitHub, and let Miru handle building, staging, and deploying your software to your devices across the world\n2. Manage devices and track software versioning on a centralized dashboard\n3. Enjoy obsessive, fast, 24/7 customer support 🫡\n\n**Installation is easy.** If your device already uses Ubuntu, the Miru installation is just one command **🪄**\n\nMiru users have an unfair advantage. They enjoy reliable, scalable, and secure deployments _without all the pain of building it themselves_.\\\n\\\n\n\n🧍🏼🧍🏿🧍🏾 **About Us**\n\nHi 👋🏾 - we’re [Vedant](https://linkedin.com/in/vedantnair), [Armel](https://linkedin.com/in/armeltalla), and [Ben](https://linkedin.com/in/benjamin-smidt)!\n\n![uploaded image](/media/?type=post&id=82564&key=user_uploads/1035647/a48e7554-cf3c-493b-b5c7-d8aa5a03eb84)\n\nAfter meeting at our freshman dorm at UT Austin, we instantly clicked and became best friends. Whether we were playing intramural basketball or scaling our previous startup, [Clips AI](https://www.clipsai.com/), to 7000 MAUs in just three months, we've proven we make an exceptional team.\n\nOutside of Clips AI, Armel worked as a software engineer at Google and YouTube, focusing on building internal tools and infrastructure. Vedant brings experience in software GTM consulting from Bain & Co. and EY-Parthenon. Ben, our hardware fanatic, has a background in mechanical and electrical engineering, and he’s built production-ready AI and video processing infrastructure using Kubernetes.\n\nWe’re passionate about a future where robots can free humans from doing the dull, dirty, and dangerous tasks that dominate billions of people’s lives. We founded Miru to provide the infrastructure to accelerate this transition.\n\nWe’re obsessed with solving this problem. If you’re a software engineer in robotics or IoT who is struggling with deployment, we’d LOVE to make your life easier.\n\nJust reach out at \\[vedant\\] @ miruml \\[dot\\] com, or better yet, [start using Miru today](https://www.miruml.com/)", "url": "https://www.ycombinator.com/launches/LTg-miru-deployment-infrastructure-for-robotics-and-iot", "votes": 235, "created_at": "2024-07-30T16:20:31.446Z" } ] }, { "id": 29641, "name": "Invaria", "slug": "invaria", "former_names": [ "Patchwork", "Patchwork Technologies" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/07b72c4e012c5010eb399d3c3541a6ce75e1383e.png", "website": "https://invaria.com", "all_locations": "London, England, United Kingdom", "long_description": "Invaria automates logging from code to storage. We make it possible to automatically add actionable, structured event logs across your entire codebase. OTel is automated instrumentation for the ideal world, Invaria is for everyone else.\r\n\r\nInvaria was founded by three engineers who know what good looks like when it comes to observability, but also know it's takes a lot of dev effort to do manually. ", "one_liner": "The next generation logging and observability platform", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1723390201, "tags": [ "Developer Tools", "DevOps", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/invaria", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/invaria.json", "year_founded": 2024, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/104537093", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Patchwork-Tech/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/07b72c4e012c5010eb399d3c3541a6ce75e1383e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1666763, "full_name": "Ben Hall", "title": "Founder", "founder_bio": "Working on something new - keen to connect with hardware-turned-software engineers.\n\nPrior to Invaria, Ben spent almost 5 years at Palantir, mixing code and sales. Most recently he led the company's zero-to-one effort in the EMEA Utilities sector – an engineer in the deep end of sales. He was founding Principal Engineer at deep tech startup, Oxford Flow. The startup spun out of Oxford Uni's aerospace lab, where he had carried out his PhD research in jet engine aerodynamics. ", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/benjaminfhall", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/41887e5f58a5aa5f8393c5a5806b1eb53f1ccbc4.jpg" }, { "user_id": 1709643, "full_name": "Sam Kramer", "title": "Founder", "founder_bio": "Prior Invaria, Sam spent six years at Palantir, splitting his time equally between product and business development. Sam has done everything from fixing availability bugs in Paxos protocol implementations to running relationships with customer IT. ", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/samuel-kramer-4263189a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ab9b5d7feb0a5eb63f9b9370418678626ad1d503.jpg" }, { "user_id": 1977434, "full_name": "Alex Maass", "title": "Founder", "founder_bio": "Prior to Invaria, Alex spent 9 years at Palantir as a Forward Deployed Engineering Lead and as a Production Engineering Manager. He has led globally distributed teams to deliver client facing projects across diverse industries. As a Production Engineering Manager, Alex led and grew the EMEA team and was responsible for special projects with some of Palantir's most critical clients. Prior to Palantir, Alex had hardware engineering internships at Nvidia and MSI.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/alexmaass/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8b8a67597097e5d98338cd1a415343f56f869aae.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83144, "title": "Patchwork Technologies: Automated logging from code to storage", "tagline": "We make it simple to implement actionable, context-rich logging across your entire codebase.", "body": "[Patchwork](https://getpatchwork.io/) automates logging from code to storage. Developers no longer need to manually write or re-write logs — Patchwork does it for them. Actionable, context-rich, secure logs can become the new standard across your entire codebase.\n\nThe product currently works with Java, Go, Python, Ruby, TypeScript, JavaScript, Scala, and Kotlin.\n\n\n\n# **The Problem with Logs**\n\nManually instrumenting code with logging is time-consuming and tedious. Unlike building features, logging doesn’t earn promotions. Logs are written by developers but consumed by SREs and security engineers once in production.\n\nPicture this: a critical incident strikes at 2 AM. Your SREs are scrambling, frantically searching through a mess of inconsistent logs, trying to piece together what went wrong. Sound familiar? That’s because logging, as it stands today, is broken.\n\nEmpires like Splunk have been built on the premise that messy logs are a fact of life and you therefore need to fork out for best-in-class indexing and querying. We say it’s time to tackle this problem at the source.\n\n![uploaded image](/media/?type=post&id=83144&key=user_uploads/1666763/dc25e534-00d3-4b8d-91ab-dba6bf902905)\n\n**Patchwork: Logging, _Un_\\-imagined**\n\nWith Patchwork, developers can focus on building features while our product ensures that every log is context-rich, actionable, and secure. Developers can un-imagine logs, forever.\n\nPatchwork works in the background, reviewing your existing codebase and stepping in during continuous integration to ensure that your new code meets your engineering standards.\n\nOur product is flexible, but in our experience, good logs:\n\n* Are context-rich and actionable,\n* Explain what the failed method was attempting (the intent),\n* Provide the context in which it failed (the state of all relevant variables),\n* Use a structured format,\n* Handle sensitive information gracefully (never include tokens/passwords, label or exclude, e.g., personal information).\n\nOur mission is to provide a few-click, automated journey to implement logging from code through to storage.\n\n# **Our Ask: Give an SRE a Hug**\n\nAnd then, help them out by giving them our email – [founders@getpatchwork.io](mailto:founders@patchwork.io). We’d love to connect with Senior SREs and VPs of Engineering – in our experience, they really get it.\n\nCheck out how we think at our [blog.](https://www.getpatchwork.io/post/the-problem-with-logs)\n\n![uploaded image](/media/?type=post&id=83144&key=user_uploads/1666763/fee73b48-c706-4393-a215-ff9dace4edfe)\n\n# **Our Story**\n\nThe Patchwork founders ([Ben](https://www.linkedin.com/in/benjaminfhall/), [Sam,](https://www.linkedin.com/in/sam-kramer-4263189a/) and [Alex](https://www.linkedin.com/in/alexmaass/)) met while working at Palantir. That translates to _met while delivering product and outcomes to demanding customers, at massive data and infra scale, under tight timelines_. Late-night debugging sessions at Palantir taught us that good logs are priceless.\n\n![uploaded image](/media/?type=post&id=83144&key=user_uploads/1666763/25c4d414-95ab-4572-bb3a-05f90868ced0)\n\n# ", "url": "https://www.ycombinator.com/launches/Ld2-patchwork-technologies-automated-logging-from-code-to-storage", "votes": 29, "created_at": "2024-08-17T00:34:12.169Z" } ] }, { "id": 29751, "name": "Opslane", "slug": "opslane", "former_names": [ "TBD", "Opslane", "Octopipe" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2f632f905565346c94d60925b5fcc1728cf28368.png", "website": "https://opslane.com", "all_locations": "San Francisco, CA, USA", "long_description": "Opslane catches the bugs code review misses. On every PR, it runs your app against test versions of the services it calls, from Stripe to the LLM. Then it tries what breaks in production: a service failing, two requests at once, a restart mid-job.", "one_liner": "Catch bugs that code review tools miss", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1721925789, "tags": [ "Developer Tools", "Open Source", "Enterprise", "DevOps", "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/opslane", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/opslane.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/opslaneinc", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "github.com/opslane", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2f632f905565346c94d60925b5fcc1728cf28368.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 230654, "full_name": "Abhishek Ray", "title": "Founder/CEO", "founder_bio": "Co-founder @ Opslane. \n\nAbhishek was an early engineer at Robinhood and Quora. He was at Robinhood for 5 years where he helped scale infrastructure from ~1M to 20M+ customers. He saw firsthand how challenging incident response can be when critical information is spread across 6 different observability tools.", "is_active": true, "linkedin_url": "https://linkedin.com/in/abhishek-ray-29210145", "x_url": "https://twitter.com/abhishekray07", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/93e52b105731f064e9682974b7c5ad2b3332f869.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 82453, "title": "Opslane – Making on-call suck less", "tagline": "We reduce alert fatigue for on-call teams.", "body": "**TL;DR**\n\nOur [Slack bot](https://github.com/opslane/opslane) classifies your Datadog alerts and flags noisy alerts, reducing alert fatigue.\n\nAdditionally, we generate insights based on all your alerts to give you a picture of your overall alert hygiene.\n\n### The Problem\n\n**Picture this:** It's 3AM, and you're woken up by a page. It's an error you've seen before, and you know it wasn't worth waking up for.\n\nAnyone who's been on-call knows the infamous middle-of-the-night unactionable alert all too well.\n\nEven with modern tools, it's still tough to determine when something has actually gone wrong, the user impact, and how to fix it quickly.\n\n**Why are existing solutions not cutting it?**\n\n* Lack of context - it's really hard to understand the customer and business impact from looking at an alert.\n* Alerts are noisy and not actionable.\n* Debugging requires context switching between multiple siloed tools.\n\n### Our solution\n\nWe're starting with our open source Slack bot that reduces alert noise.\n\nOnce you add our bot to your Slack channel, we pull your alert history from Datadog.\n\nWe analyze your alert history across various parameters:\n\n* Alert frequency\n* How quickly have the alerts resolved in the past\n* Alert priority\n* Alert response history\n\nBased on these, we classify your alert as actionable or noisy.\n\n![User-uploaded](https://slabstatic.com/prod/uploads/s97i19pj/posts/images/6P01k6pFnPq5repaabLC5_-G.png)\n\nIn addition, we generate a report on your team's overall alert health, pinpointing which noisy alerts are prime candidates for tuning or disabling.\n\n![User-uploaded](https://slabstatic.com/prod/uploads/s97i19pj/posts/images/1e4X0_iAo7eLJh7PLEo1oZoS.png)\n\nOur vision is to stitch together all the relevant context engineers need to debug incidents in one place and automate root cause analysis.\n\n### Team\n\n![uploaded image](/media/?type=post&id=82453&key=user_uploads/6530/ba62e789-6ccf-4b5c-a555-90e5c932d81c)\n\nWe ([Amaresh](https://linkedin.com/in/amareshray/) and [Abhishek](https://linkedin.com/in/abhishek-ray-29210145)) have firsthand experience dealing with the challenges of on-call and alert fatigue at companies like Robinhood and Atlassian. With Opslane, we’re reducing the alert fatigue that overwhelms on-call engineers and leads to millions in lost productivity and downtime.\n\n### Ask\n\n🔥 Are noisy alerts a hair-on-fire problem for your company or someone you know? We'd love to hear from you - email [founders@opslane.com](mailto:founders@opslane.com) or [schedule a call](https://cal.com/team/opslane/demo) with us.\n\n⭐ Please star us on Github: ", "url": "https://www.ycombinator.com/launches/LRt-opslane-making-on-call-suck-less", "votes": 10, "created_at": "2024-07-26T14:59:47.999Z" } ] }, { "id": 30108, "name": "Struct", "slug": "struct-ai", "former_names": [ "Bramble", "Edgedive" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f292fd64c9e2943d040e390cd2700e19b243bb8c.png", "website": "https://struct.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Struct automatically sets up, manages, and triages alerts based on how your app is supposed to work in prod. Connect your coding agent to it to enable your software factory to fix prod on its own.\r\n\r\nOnboarding takes 5 minutes.\r\n", "one_liner": "Struct keeps prod running", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1727386579, "tags": [ "Developer Tools", "B2B", "DevOps", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/struct-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/struct-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trystruct", "x_url": "https://x.com/trystruct", "fb_url": null, "cb_url": null, "github_url": "https://github.com/struct-dot-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f292fd64c9e2943d040e390cd2700e19b243bb8c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1655136, "full_name": "Nimesh Chakravarthi", "title": "Founder/CEO", "founder_bio": "Nimesh is a Co-Founder at Struct, building the new way to do oncall. He led the consumer messaging team at LinkedIn, where reduced messaging support volume by >80% by overhauling reliability & observability. He's an EECS Berkeley grad and a real estate agent.", "is_active": true, "linkedin_url": "https://linkedin.com/in/nimesh-chakravarthi-68238749", "x_url": "https://x.com/nimeshmc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/889b5b0e370cd6d28b3c5d3373c2734925f4c0f0.jpg" }, { "user_id": 950535, "full_name": "Deepan Mehta", "title": "Founder", "founder_bio": "Deepan is building.\n\nPreviously he spent 4 years as a Sr. PM at LinkedIn, where he launched an AI-powered revamp of messaging, video posting, and messaging stories while driving 10s of millions in ARR. Before that, he launched LiveRamp's first self-serve distribution UXs and APIs. He graduated from Georgia Tech with a BS in computer science and is a Mexican Pizza enthusiast. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/deepanmehta", "x_url": "https://x.com/meksikanpijha", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1de2aedf852b59725f17ed62e7ba8db7f1eb39d3.jpg" } ], "jobs": [], "news": [ { "title": "AI agent platforms look to find their stride in 2025", "url": "https://www.housingwire.com/articles/ai-real-estate-agent-platforms-2025-realpha-homa-modern-realty-bramble/", "date": "Jan 23, 2025" } ], "launches": [ { "id": 98615, "title": "Struct: Automate your on-call runbook", "tagline": "Auto root-cause eng alerts by cross-referencing logs, metrics, and your code.", "body": "Hi - we’re Deepan and Nimesh, and we’re launching the on-call agent every team deserves. For free.\n\n**tl;dr:** Struct auto-generates impact summaries, root causes, and pattern analyses for every eng alert by cross-referencing your logs, metrics, traces, and code. Free to use, set up in 5 minutes, fully customizable.\n\nVideo: \n\n⚠️ **The Pain:**\n\nIf you’ve been on-call, you know the drill.\n\n* Alert fires\n* Open Datadog (or Grafana, or whatever)\n* Find spikes, note timestamp\n* Hunt for relevant logs\n* Grep through code to root cause\n* Rinse & repeat\n\nMeanwhile, your most senior engineers keep getting looped into every incident, noisy alerts never get tuned, context lives across multiple tools, and customer issues keep slipping through.\n\n❇️ **The Fix:**\n\nStruct is the fastest way to go from alert → root cause. It plugs into your existing stack and automates the investigation workflow your team already runs manually.\n\nWithin minutes of an alert firing, Struct:\n\n* Pulls relevant metrics, logs, traces, monitors, and code\n* Does a regression analysis and correlates anomalies and spikes\n* Replies with with a root cause, impact summary, and pattern analysis\n* Drafts a full incident report with dynamically generated charts, timelines, and commit histories\n\nDive deeper in Slack or our app. Or, handoff the full context to your favorite coding agent to ship a fix.\n\nTeams already use Struct to:\n\n* Ensure their on-call runbook is consistently run on every alert and issue\n* Query across all logs, metrics, traces, and incidents in one place\n* Give every engineer the context to handle on-call without looping in seniors\n* Delay heavy investments in centralized observability\n* Supercharge their fave coding agents with one-click context handoffs\n\n👨🏽‍💼 **Who It’s For:**\n\n* Founding engineers scaling from 1 → 10 → 50\n* Lean teams running serious infra without an SRE\n* Orgs investing heavily into AI dev workflows\n\n🙏🏽 **Our Ask: Try It Free**\n\n**Get started in 5 minutes at [struct.ai](http://struct.ai)** — start for free, no credit card required. See ROI before you commit\n\nOr:\n\n* Book a quick demo: [here](https://cal.com/deepanm/struct-demo)\n* Email us: [**founders@struct.ai**](mailto:founders@struct.ai)", "url": "https://www.ycombinator.com/launches/PeZ-struct-automate-your-on-call-runbook", "votes": 33, "created_at": "2026-03-09T16:09:43.354Z" }, { "id": 92145, "title": "Edgedive - understand what your customers are actually saying", "tagline": "Edgedive unifies scattered customer feedback and makes it actionable at scale", "body": "**tl;dr: Edgedive unifies scattered customer calls, messages, tickets, and CRM data, enabling deep insights, custom reports, and on-demand research**\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/39577381-65fc-4927-b42a-6057c595fd9b)\n\n**👀 [Book a 15 min demo call](https://cal.com/deepanm/edgedive-demo) to see it in action!**\n\n⚠️ **The Problem:**\n\nListening to your customers **is really hard at scale**.\n\n* Customer interactions (call transcripts, support tickets, messages, emails, etc.) are still siloed in separate tools and rarely linked to CRM data or eng tickets\n* PMs and others have to manually search through scattered data for relevant snippets, but they miss a lot\n* Answering a question like “which $10k+ ARR customers asked about MCP in the past quarter” is difficult and time-consuming\n* Monitoring real-time, qualitative reactions to a launch is challenging\n\n❇️ **The Solution:**\n\nEdgedive makes it incredibly simple to collect, tag, and synthesize **all incoming feedback from every channel** (linked to your CRM) so you can focus on building something people want.\n\n_After white-glove onboarding, our customers are using Edgedive to:_\n\n🔎 Answer **any** question about **anything** customers are saying\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/03c089aa-7043-42c9-84ce-a57b32d41abd)\n\n🎫 Tag tickets & quantify revenue impact - automatically\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/9232202c-e8c5-4d0f-9bd6-67c7cefd89d5)\n\n🗣️ Schedule custom voice of customer reports\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/d787a9b2-92eb-43f7-9314-34efcc5be748)\n\n💸 Identify gaps leading to churn or closed-lost deals\n\n🧪 Get a shortlist of good beta testers for features\n\n🤩 Monitor customer reactions to launches, live\n\n_…all in seconds, not days (or weeks)._\n\n👨🏽‍💼 **Our customers are:**\n\n* Customer-obsessed **Founders** or **Product, CS, & Ops leaders**\n* Teams trying to scale PM, CS, or Ops without scaling headcount\n* Organizations trying to launch or automate Voice of Customer programs\n\n🙏🏽 **Our Asks:**\n\n* **Book a [15 min call](https://cal.com/deepanm/edgedive-demo) or email us at [founders@edgedive.com](mailto:founders@edgedive.com)** if you fit any of the above profiles (or just want to see it in action)\n* **Know anyone that might be a good fit? [Intro us!](mailto:founders@edgedive.com)** First 5 intros receive their choice of (5) Taco Bell Crunchwrap Supremes 🌮 or (5) caffeinated beverages ☕ Act fast!\n* **Follow us or give a shoutout on [LinkedIn](https://www.linkedin.com/company/use-edgedive) or [X](https://x.com/edgedive/) to support!**\n\n🚀 **The Team:**\n\nDeepan (fmr Sr. PM, Georgia Tech) and Nimesh (fmr. Sr. EM, Berkeley) worked together for 4+ years at LinkedIn - some of our launches include the AI Focused Inbox, video posting, and stories, along with growth launches that drove $XXM in annual revenue. We’re building the solution we wish we had when we were trying to plan, build, and launch impactful products.\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/3e31334c-2af8-4696-939e-fee8a252c848)\n\n", "url": "https://www.ycombinator.com/launches/NyD-edgedive-understand-what-your-customers-are-actually-saying", "votes": 61, "created_at": "2025-07-14T22:31:50.649Z" }, { "id": 84508, "title": "Bramble: Buy any home, get $20k back!", "tagline": "Bramble is an AI-backed real estate brokerage that helps you buy a home end-to-end for a simple flat fee", "body": "**TL;DR:** Bramble is an AI-backed real estate brokerage that provides end-to-end homebuying services for one simple flat fee. Get instant help to set up tours, research homes, submit offers, and close confidently - with responsive support from an experienced agent whenever you need it.\n\nHey there! We’re [Nimesh](https://linkedin.com/in/nimesh-chakravarthi-68238749), [Deepan](https://linkedin.com/in/deepanmehta), and [Danny](https://www.linkedin.com/in/dannyighsu), co-founders of [Bramble](https://usebramble.com?utm_source=yc&utm_medium=post&utm_campaign=yc_launch).\n\n![uploaded image](/media/?type=post&id=84508&key=user_uploads/950535/673184b4-b4b3-4a72-bc11-fb7e3be1aa00)\n\n**The Problem: buying a home with an agent is often frustrating and expensive**\n\nToday, buyers already do a lot of work themselves to find and visit houses, but buyer agents continue to charge a very high fee (2-3% of a home’s price) for what’s often a frustrating and unresponsive experience. On top of that, the [2024 NAR settlement](https://blog.usebramble.com/post/how-nar-settlement-affects-home-buyers?utm_source=yc&utm_medium=post&utm_campaign=yc_launch) means that buyers are now fully exposed to that fee. As they look for cheaper alternatives, buyers are finding this means compromising on service or quality.\n\n![uploaded image](/media/?type=post&id=84508&key=user_uploads/950535/fd500ac9-92b1-4e2a-adbc-97087bfce021)\n\n**The Solution: buy any home with our AI-backed full-service broker for one flat fee**\n\nSchedule tours, analyze properties, draft offers, and close right on platform, with responsive, on-demand agent support whenever you need it — all for a simple flat fee. (The rest of the commission is rebated back to you.)\n\n[See how it works!](https://youtu.be/zFCG09fxJ_E)\n\nAI tools like instant disclosure analysis, comp reports, market analysis, and more, plus expert support from dedicated agents, mean Bramble buyers get the experience of a top-tier real estate agent without sky-high commissions. In California, the average homebuyer gets over $20k rebated at close! \n\n![uploaded image](/media/?type=post&id=84508&key=user_uploads/950535/6a601435-32ef-4366-a683-fa7a3b0e885c)\n\n**Asks:**\n\nWe’d love to talk to:\n\n* **Anyone looking to buy a home in CA in the next 6 months** - whether that’s you or anyone you know, we want to learn more.\n* Anyone who’s bought a home in the last year - we’d love to hear about your experience. We’ll even throw in a gift card of your choice!\n* Other founders/builders in the real estate tech space - let’s exchange notes.\n\nEmail us at [team@usebramble.com](mailto:team@usebramble.com) or grab time directly [here](https://calendar.app.google/ppD4aJz2hV2Mwv6T8)!", "url": "https://www.ycombinator.com/launches/Lz2-bramble-buy-any-home-get-20k-back", "votes": 62, "created_at": "2024-10-03T20:04:32.029Z" } ] }, { "id": 30114, "name": "Ryvn", "slug": "ryvn", "former_names": [ "Armada" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/38a4a570871fba4b9702b51fa8da50142159b1a8.png", "website": "https://ryvn.ai", "all_locations": "New York City, NY, USA", "long_description": "Ryvn provides the devtools and infrastructure to easily deploy any workload, on any cloud, and on-prem. Run apps in your own cloud and offer Bring Your Own Cloud (BYOC) to your customers in minutes, with built-in observability designed for sensitive industries.", "one_liner": "Easy and secure customer cloud deployments", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1730680026, "tags": [ "Developer Tools", "SaaS", "DevOps", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 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/ryvn", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/ryvn.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ryvn/", "x_url": "https://x.com/ryvnai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/38a4a570871fba4b9702b51fa8da50142159b1a8.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": 1690248, "full_name": "Albert Lam", "title": "Founder/CEO", "founder_bio": "CEO at Ryvn, making cloud and on-prem deployment, monitoring, and management simple. Previously led AI and infrastructure teams at Palantir.", "is_active": true, "linkedin_url": "https://linkedin.com/in/simplyalam", "x_url": "https://x.com/albert_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f61743a26b1715c1db12a6ea5c68fe199e4866fc.jpg" }, { "user_id": 682648, "full_name": "Shardool Patel", "title": "Founder/CTO", "founder_bio": "Building deployment infrastructure to help companies deploy to multi-cloud. Previously led an engineering team at Palantir and helped scale the internal deployment platform to a $20M ARR product.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sp97/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f49826d81086cce33d2c2d395e7c170ea460ca3e.jpg" } ], "jobs": [ { "id": 84793, "title": "Founding Software Engineer", "url": "https://www.ycombinator.com/companies/ryvn/jobs/qg0OM1Q-founding-software-engineer", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $220K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Microsoft Azure", "Go", "Google Cloud", "React", "TypeScript" ] } ], "news": [], "launches": [ { "id": 85379, "title": "🚢 Ryvn - Deploy applications to customer clouds, on-prem", "tagline": "Like Vercel but for deploying to your own cloud and customer clouds", "body": "**TL;DR:** [**Ryvn**](https://ryvn.ai) **_empowers SaaS startups to seamlessly deploy, monitor, and manage their applications within customer clouds_** _and on-premises environments. We streamline on-prem delivery with integrated logging, monitoring, and simplified updates and rollbacks across all customer installations._ [_Watch our demo_](https://youtu.be/1wTY1a0KKPU)\n\n   \n \n# **🔥 The Team**\n\n[Albert](https://www.linkedin.com/in/simplyalam/) and [Shardool](https://www.linkedin.com/in/sp97/) collectively bring over a decade of expertise in infrastructure and DevOps.\n\nAt Palantir, Shardool led engineering teams building deployment infrastructure for managing **hundreds of environments**, including cloud, on-premises, and air-gapped systems—facilitating over 10,000 deploys per day.\n\nAlbert led engineering teams at Palantir, developing disaster prevention products that secured $xxM in contracts. At Capital One, he architected modular deployment pipelines and resource management tools.\n\n   \n \n# **❌ The Problem**\n\n**Building infra is not building product**\\\nSetting up infrastructure for each customer—learning tools like Terraform and Kubernetes, creating configurations, and making Docker images—is time-consuming. Instead of building new features, your team is tied up with these tasks just to get deployments working.\n\n**Customer DevOps slows you down**\\\nIf you're sending code, docker images, or Helm charts to customers, you're relying on their DevOps team to prioritize your updates and correctly follow installation instructions. This can lead to **delays of 4-6 weeks** before updates are applied, hurting your delivery cycle.\n\n**Support sucks without monitoring and logging**\\\nHearing about outages or bugs over email or Slack leaves you scrambling to react, putting customer trust at risk. Secure access to logs and metrics is critical to providing reliable service.\n\n   \n \n# **🔮 Our Solution**\n\n**🚢 Easily Install and Ship Updates**\\\nRyvn handles on-prem and VPC deployments automatically from your GitHub code, like Vercel, allowing you to push updates **multiple times a day** with little to no customer involvement.\n\n![uploaded image](/media/?type=post&id=85379&key=user_uploads/1690248/a32c6ee9-98c9-4289-b62f-83ec48cda238)\n \\\n**🎮 Controlled Updates & Instant Rollbacks**\\\nRoll out updates with ease across release stages, including **instant rollbacks** to previous stable versions, ensuring uptime and customer confidence.\n\n![uploaded image](/media/?type=post&id=85379&key=user_uploads/1690248/a6862582-b463-415b-9239-39ff5d161cf0)\n \\\n**👁️ Integrated Logging & Monitoring**\\\nSecure, **centralized access to logs** and health metrics across customer environments. Logs are streamed to your cloud or accessible on-demand from your customer’s cloud.\n\n![uploaded image](/media/?type=post&id=85379&key=user_uploads/1690248/1bffb4e3-5a28-44d0-a75c-8e92ebf639d6)\n\n   \n \n# **💭 Why Deploy to Customer Clouds?**\n\n**💸 Charge more, bigger markets**\n\n* Charge **3–10x** more for customer cloud / on-prem deployments\n* Sell to regulated industries — health, finance, enterprise, etc.\n\n**🥷 Skip the security review & SOC 2**\n\n* Land **PoCs** _faster_ by deploying on-prem to bypass lengthy security reviews\n* You don’t need SOC 2 or HIPAA to deploy on-prem\n\n**❤️ Make your bank and lawyers happy**\n\n* Customers pay directly for infrastructure cost\n* Not hosting customer data reduces your liability\n\n   \n \n# **📣 Our Ask**\n\n**Follow** - we’re on [LinkedIn](https://www.linkedin.com/company/105480942/)\\\n**Share** - If you know any startups looking to deploy to customer clouds, we’d appreciate a warm intro using our email [founders@ryvn.ai](mailto:founders@ryvn.ai)\\\n**Demo** - [book here](https://cal.com/albertlam/ryvn-demo)\n\n![uploaded image](/media/?type=post&id=85379&key=user_uploads/1690248/7b4e5b4d-30d0-4b34-8762-1f8664c960b6)\n\n", "url": "https://www.ycombinator.com/launches/MD5-ryvn-deploy-applications-to-customer-clouds-on-prem", "votes": 84, "created_at": "2024-11-08T14:33:26.181Z" } ] }, { "id": 30117, "name": "Relvy AI", "slug": "relvy-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2aa06b2c04632ad68c2151cc3aac66c942a0119b.png", "website": "https://www.relvy.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Relvy provides AI-powered debugging notebooks that help software engineers investigate and resolve incidents faster. It finds the root cause in over 70% of alerts automatically, and when it doesn’t, engineers can easily guide or correct the investigation - saving valuable time across the team.", "one_liner": "AI powered debugging notebooks for incident response", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1729032291, "tags": [ "Developer Tools", "SaaS", "B2B", "DevOps", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/relvy-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/relvy-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/relvyai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2aa06b2c04632ad68c2151cc3aac66c942a0119b.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": 1381863, "full_name": "Bharath Bhat", "title": "Founder/CEO", "founder_bio": "Co-founder, CEO at Relvy AI. I enjoy building delightful AI powered software. Previously worked on efficient computer vision/language models for Google Pixel, YouTube and Uber.", "is_active": true, "linkedin_url": "https://linkedin.com/in/bharathpbhat", "x_url": "https://twitter.com/bharathpbhat", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b7c35bb16ab8a02875c2a470ec4c66504134842.jpg" }, { "user_id": 1410020, "full_name": "Simranjit Singh", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at Relvy. Previously I worked at Microsoft and Amazon on researching and developing SOTA Computer Vision models. I also Co-Founded Vetan, a payroll app that was used by over 30k SMBs. Prior to that I developed distributed systems at Nutanix.", "is_active": true, "linkedin_url": "https://linkedin.com/in/simranjit2112", "x_url": "https://x.com/simsingh2112", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fc723953d8d3041697848249dc33254bdb1ddd5e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85574, "title": "Relvy: AI that discovers and debugs production issues", "tagline": "Relvy looks at application logs and metrics to detect and debug issues, so engineers don’t have to.", "body": "Hi, we are Bharath Bhat and Simranjit Singh. We are building Relvy AI.\n\n### ❗ The problem\n\n* Companies spend $35B annually paying engineers to be on-call, and yet continue to suffer from $$$$ outages.\n* Monitoring production software is hard.\n* Engineering teams are always playing catch up - either flying blind with no alerts, or drowning in alert noise.\n\n \n\n### ⭐ Introducing Relvy\n\nWith Relvy, you can just say “**Hey Relvy, monitor my logs for me**”. Relvy connects to your observability stack to detect and debug any issues that show up. It takes less than 5 minutes to set up Relvy to monitor your logs and get actionable alerts WITH a root cause analysis.\n\n[Demo Video](https://www.youtube.com/watch?v=j_8wLDFMGNM)\n\n### ⚙️ How it works\n\n* You connect Relvy to your observability tools and provide a set of log queries that you’d want to monitor\n* Relvy queries and process logs 24x7 to detect issues. No need to define log based metrics and create alerts manually.\n* Relvy then debugs these issues to provide an actionable root cause analysis. This includes querying and analyzing other metrics to provide context, and finding responsible code changes from your recent commits.\n* Already have alerts on your on-call slack channel? Relvy can debug these as well, and respond to follow-up queries.\n\n### 🚀 Our tech\n\n* We ship with a small language model that’s optimized for debugging. It is as good as gpt-4o on our eval benchmarks while being 1/100th the cost. The core unlock that enables us to offer continuous monitoring.\n* We lean on your previous incident response history to help optimize our agent. Helps us denoise alerts, figure out useful queries to run while debugging, and pattern match logs faster.\n\n### 📝 Our story\n\nSimranjit and I are both ML engineers. We met a few years ago when we were building computer vision models for satellite imagery at a startup called Orbital Insight. Together, we have built and supported ML products at Google, Uber, Microsoft and Amazon. \n\nRelvy came out of our efforts to automate the not-so-fun parts of our jobs as software engineers. Believe it or not, our first product was something that recorded your screen as you were coding, and tried to come up with bug fix suggestions for any error messages that popped up on screen. Thankfully, Relvy is less intrusive, more accurate, and fits into your existing on-call workflows.\n\n### ➡️ Ask\n\nI bet you’d like AI to take monitoring off your plate. Try us out at or book time with us at \n\n![uploaded image](/media/?type=post&id=85574&key=user_uploads/1381863/8a25e559-845a-4b23-90dd-6fadde0fbdb8)\n\n", "url": "https://www.ycombinator.com/launches/MGE-relvy-ai-that-discovers-and-debugs-production-issues", "votes": 80, "created_at": "2024-11-15T04:27:49.553Z" } ] }, { "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": 30545, "name": "StarSling", "slug": "starsling", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fae29a98d132c4b435b336dbb5d6cf4a1aaf5de7.png", "website": "https://starsling.dev/", "all_locations": "San Francisco, CA, USA", "long_description": "Drop-in Ubuntu runners plus AI agents that open optimization PRs for your workflows. StarSling Runners continuously improve your CI to make it up to 6x faster and 13x cheaper.", "one_liner": "Self-Driving CI: fast AI-native GitHub Actions runners", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1747381971, "tags": [ "Developer Tools", "B2B", "DevOps", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/starsling", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/starsling.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/starslingdev", "x_url": "https://x.com/starslingdev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/starslingdev", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fae29a98d132c4b435b336dbb5d6cf4a1aaf5de7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ac673fbe328666896d6971baaf798768567f8017.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a957738896dfa0061f88dc67ad23bcd23c38b2e4.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 7866, "full_name": "Yonas Beshawred", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO @ StarSling 💫 Previously Founder & CEO of StackShare, a developer community that had 1.5M+ devs and an enterprise SaaS offering ~$1M ARR, then sold to FOSSA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yonas-beshawred/", "x_url": "https://x.com/yonasbe", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0b3b96f558d6a2d589261e15aaff251e45429b39.jpg" }, { "user_id": 751609, "full_name": "Daniel Worku", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO @ StarSling 💫 Built Netflix’s Internal Developer Portal (IDP) for their 3K+ engineers & managers and scaled it to become the highest DAU internal tool for devs. Eng on Facebook’s AI Camera team and helped build the mobile computer vision lib that currently powers camera effects for 100M+ DAUs across IG, FB, and WhatsApp.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/worku", "x_url": "https://x.com/dbworku", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9fce0c666cca02fcf76812b958467dbf296b88d2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 104233, "title": "StarSling Runners - Self-Driving CI", "tagline": "Fast GitHub Actions runners with AI agents that continuously improve your CI to make it up to 6x faster and 13x cheaper.", "body": "Hey everyone!\n\nWe're Yonas & Daniel, co-founders of [StarSling](https://www.starsling.dev).\n\n**TL;DR: [StarSling Runners](https://starsling.dev/)** are an AI-native drop-in replacement for ubuntu-latest that continuously make your CI up to **6x faster** and **13x cheaper**. On day one, StarSling Runners are faster and cheaper. From there, AI agents analyze your pipelines and continuously ship optimization PRs.\n\n\n\n**🤔 Why now**\n\nCoding agents made writing code dramatically faster, and they’ve pushed PR volume up, which compounds CI times and cost fast.\n\n![uploaded image](/media/?type=post&id=104233&key=user_uploads/7866/2149565f-569b-4f8d-b4b3-9eab341daf0f)\n\nEveryone has the option of getting fast CI runners now. What nobody has is **CI that adapts and improves itself**.\n\nMeanwhile, keeping a CI pipeline fast is a constant manual chore: caches break, tests get flaky, build steps pile up, and someone has to notice and fix it, over and over. We believe DevOps tooling like CI should be as agentic as coding is, and that's the unlock behind self-driving CI: the optimization work that used to be a recurring human task now runs continuously in the background as part of the infrastructure running it.\n\n**🔥 The problem**\n\nKeeping CI fast is nobody's job and everybody's problem:\n\n* **Pipelines rot.** Caches get misconfigured, dependency installs get slow, tests turn flaky, build steps stop being parallel. Performance quietly degrades until someone carves out time to fix it.\n* **Fast runners alone don't solve it.** Swapping in faster hardware helps once, then your setup drifts right back as you add more code and tests and they get more complex. Plenty of products give you faster runners. None of them keep your pipeline optimized for you.\n* **It's getting worse.** Recent GitHub Actions pricing changes hit teams running lots of jobs, and GitHub's focus has clearly moved elsewhere. When we surveyed companies looking for DevOps AI solutions, a GitHub Actions agent was the single most-requested solution engineers wanted.\n\n**🧯 The solution: self-driving CI**\n\nStarSling Runners are an AI-native, drop-in replacement for ubuntu-latest\\\nthat get faster the longer you use them:\n\n* **Fast infrastructure on day one.** 5th Gen AMD EPYC (\\~30% faster than GitHub), actions/cache compatible with zero config, unlimited concurrency.\n* **AI agents that optimize your CI for you.** Agents continuously scan your workflows, jobs, run logs, and machine telemetry, then open optimization PRs: fixing caching, speeding up dependency installs, parallelizing build steps, sharding tests, and restructuring workflows. This is the part nobody else does. Real PRs our agents opened and customers merged: [sharding E2E tests across 3 parallel jobs](https://github.com/mastra-ai/mastra/pull/15888) (Mastra), [optimizing Playwright browser installs](https://github.com/better-auth/better-auth/pull/8073) and [fixing turbo cache config](https://github.com/better-auth/better-auth/pull/7950) (Better Auth).\n* **Cheaper, with no surprises.** $0.008/min vs GitHub's $0.012/min (33% cheaper), queue time never billed, no seat fees.\n* **You stay in control.** Every agent-authored optimization ships as a PR your team reviews and merges.\n* **Secure by default.** Every job runs in its own single-use, hardware-isolated microVM that's destroyed after the run, the same isolation model GitHub-hosted runners use. Secrets pass directly from GitHub to your job and are never stored by StarSling.\n* **One-line install.** Install the [StarSling GitHub App](https://github.com/apps/starslingdev) and copy our AI install prompt to swap ubuntu-latest\\\n for starsling-ubuntu-24.04. You're on faster runners immediately, with 2,000 free minutes your first month. The optimization agents are in early access right now, so request access and we'll turn them on for your repos. **👇**\n\n![uploaded image](/media/?type=post&id=104233&key=user_uploads/7866/a91c193f-d5e1-4d00-a93c-1dfd6381666b)\n\n**📈 Traction**\n\nAfter being in private beta for the past four months, StarSling has now run over **one million CI jobs** for fast-moving teams like Better Auth, Mastra, Partcl, and more, and the self-driving AI agents is what won them over:\n\n* [**Mastra**](https://starsling.dev/customers/mastra) got **6x faster** CI:\n * _\"The runners are just handled, so nobody on my team thinks about CI infrastructure anymore, and the agents keep optimizing for the one thing I care about: minutes saved.\"_ - Abhi Aiyer, Co-founder & CTO at Mastra (YC W25)\n* [**Better Auth**](https://starsling.dev/customers/better-auth) got **2x faster** E2E:\n * _\"StarSling agents are like a CI engineer we never had to hire. They find the slow spots, test out fixes, find the ones that work and open the PRs themselves.\"_ - Bereket Engida, Founder & CEO at Better Auth (P25)\n* [**Partcl**](https://starsling.dev/customers/partcl) got **13x cheaper** CI, and the agents proved themselves on day one:\n * _\"Within a day of migrating to StarSling Runners, their agents opened up a PR that literally made our Rust CI tests 2x faster!\"_ - Vamshi Balanaga, Co-founder & CTO at Partcl (YC P25)\n\nFull case studies: \n\n![uploaded image](/media/?type=post&id=104233&key=user_uploads/7866/10826f60-8e4d-41a8-a800-32026a78bfc8)\n\n\n**🏋️ Team**\n\n**Daniel** led the 12-person engineering team at Netflix that built their Internal Developer Portal (\"Netflix Console\"), the central hub for Netflix's 3,000+ engineers and the highest-DAU internal developer tool at the company. Before Netflix he was on Facebook's AI Camera team, building computer vision that powers camera effects for 100M+ DAUs across Instagram, Facebook, and WhatsApp.\n\n**Yonas** built StackShare, one of the largest online developer communities (1.5M+ registered developers), with an enterprise offering used by Fortune 500s to surface tech stack data across thousands of internal codebases. StackShare was acquired by FOSSA in 2024.\n\nWe've spent our careers on developer tools, and self-driving CI is the first part of a suite of tools we always wished we had.\n\n**🔮 Vision**\n\nDevOps should be as agentic as coding. CI is just the start. We're building toward a world where your entire pipeline improves on its own and AI agents take on the slow, manual engineering work that’s left after your coding agents finish, across the whole SDLC, so your team ships faster.\n\n**👇 Our ask**\n\n* **Try it.** If your team runs CI on ubuntu-latest, you're a one line change away from faster runs: . YC companies get 50% off the first year.\n* **Intros.** If you know a CTO or VP Eng at a company drowning in CI time or cost, we'd love an intro: 📧 [founders@starsling.dev](mailto:founders@starsling.dev)\n\nHappy Slinging!\n\n\\- Yonas & Daniel", "url": "https://www.ycombinator.com/launches/R7B-starsling-runners-self-driving-ci", "votes": 85, "created_at": "2026-06-29T17:20:25.137Z" }, { "id": 90469, "title": "StarSling - AI Agents for Developers That Ship 🛸", "tagline": "Agentic internal developer portal that automates your tasks across deployments, performance, incidents, and bugs", "body": "Hey everyone! \n\nWe’re Yonas & Daniel - Co-founders of [StarSling](https://www.starsling.dev).\n\nStarSling (https://starsling.dev) is a developer portal that turns your daily unplanned work from all your dev tools into one-click actions, powered by AI. Open your homepage, click on a GitHub, Linear, or Sentry issue and you’ll see an Autofix button that triggers an agent and opens a Pull Request with a fix, all without leaving your portal. It’s AI agents for the tasks that live outside of your code editor, across deployments, performance, incidents, and bugs.\n\nhttps://youtu.be/-rbrSNyguHY \n\n**🌄 Our Story**\n\nDaniel led an engineering team at Netflix that built their Internal Developer Portal (IDP), called Netflix Console. It was the central hub for Netflix's 3,000+ engineers, managers and leaders and became the highest DAU internal tool for developers at Netflix.\n\nYonas built StackShare, one of the largest online developer communities that had over 1.5M registered developers and an enterprise offering used by thousands of companies that integrated tech stack data into their IDPs and other internal tools.\n\nBoth of us have seen the challenges that developers at large companies face in keeping their tech stacks healthy across thousands of codebases. We’ve also seen the benefits that a high-quality single IDP brings to engineering teams. We believe that AI agents have created a unique opportunity for developers to get the benefits of an IDP with automation baked in from the start.\n\n**🔥 The Problem**\n\nDevelopers typically spend \\~20% of their time on annoying eng tasks outside of their code editor:\n\n* Fixing exceptions\n* Patching flaky CI builds and tests\n* Updating engineering docs and changelogs\n* Investigating and remediating incidents\n* Optimizing slow database queries\n* Debugging preview and staging environments\n* Rotating expiring credentials and keys\n\nThese tasks are spread out across many different developer tools and workflows: Sentry, GitHub, CircleCI, PagerDuty, Supabase, Vercel and many more. StarSling is unifying these tools and bringing AI agents to the rest of the software development lifecycle (SDLC).\\\n**🧯 Our Solution**\n\nWe're building a system of AI agents that perform engineering tasks using the deep context that only exists in an internal developer portal (IDP). One central command center that houses internal services, applications, APIs, documentation and has AI agents continuously improving them. We bring your tools into one system and give you powerful workflows by orchestrating AI agents across these tools.\n\nOur first offering is an agentic developer homepage that shows you your aggregated task list along with actions that AIs can take on your behalf. In your homepage you’ll see: your open PRs, exceptions, tickets, notifications, and more alongside AI agents.\n\n![uploaded image](/media/?type=post&id=90469&key=user_uploads/7866/d4f9f3c3-e7b9-485b-9920-3d04e80d385f)\n\nSoon StarSling will orchestrate agents across the more complex tasks like investigating incidents. Our immediate goal is to be the interface and “portal” to all the AI agents for the dev tools you already use.\n\n**🔮 Our Vision**\n\nTo create a system of AI agents that allows every engineer to spend close to 0% of their time dealing with deployments, performance, incidents, and bugs.\n\n**👇 Our Ask**\n\nIf you’re a developer working on a production system, we’d love to show you StarSling and get your feedback!\n\n👉 Signup for the waitlist: https://starsling.dev\n\n📧 Email us: [founders@starsling.dev](mailto:founders@starsling.dev)", "url": "https://www.ycombinator.com/launches/NXB-starsling-ai-agents-for-developers-that-ship", "votes": 591, "created_at": "2025-05-16T15:08:07.425Z" } ] }, { "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": 30630, "name": "Lark", "slug": "lark", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d081c0c274bbf68a2b6814e7891694bfd2e2c515.png", "website": "https://getlark.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Lark lets teams write end-to-end tests in plain English. Validate dashboards, APIs, SDKs, and full product flows without maintaining fragile test code. Run continuously on feature branches, in CI, or in production.", "one_liner": "The E2E testing layer for AI-driven development", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1755281037, "tags": [ "Developer Tools", "B2B", "DevOps", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lark", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/lark.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lark-ai/", "x_url": "https://x.com/uselark_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d081c0c274bbf68a2b6814e7891694bfd2e2c515.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/dde1456e1891c9345ebb69dffab5223aaacd994a.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 242901, "full_name": "Vijit Dhingra", "title": "Founder", "founder_bio": "Vijit is the co-founder of Lark. \n\nHe previously spent five years at a Stripe as a tech lead where he built their usage based billing product and other payments infrastructure. He also contributed to testing infra at Stripe to improve developer productivity and product reliability. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vijitdhingra/", "x_url": "https://x.com/VijitDhingra1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/849364ab5c5c0f34e874a00a2bb15cc5967a68f0.jpg" }, { "user_id": 923500, "full_name": "Jack Brown", "title": "Founder", "founder_bio": "Jack is the co-founder of Lark.\n\nPreviously, Jack built usage-based billing at Stripe to support the complex pricing models of the worlds biggest AI companies. Prior to his previous role, Jack led engineering teams at fast-growing startups, where he built developer tooling infrastructure to improve developer productivity.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jackcbrown/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c34bd17fd36246287d0b0df7be2df253d0bd7192.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95995, "title": "Lark: Stripe without the workarounds", "tagline": "Delete your billing code", "body": "**Problem** 🔴\n\nToo often, customers tell us they use Stripe for billing but when I ask how they manage their credits or track usage, I always hear the same answer: “we built it in-house”. These pricing models are not edge-cases. They’re the new normal in the age of AI.\n\n**Solution** ⚒️\n\n[uselark.ai](https://uselark.ai) is a modern billing platform with the flexibility to support any pricing model (credit-based, usage-based, hybrid, dimensional, token-based, etc…) at any scale (**10x more** than Stripe).\n\nWhether you’re building an AI powered API or a B2B SaaS product, Lark provides everything (including checkout + customer-facing portal) you need to implement complex billing logic without the hassle.\n\nA few nice things about us -\n\n* You don't have to manage any webhooks or store custom billing state (like stripe customer id) in your database\n* Our APIs are simple. You don't have to integrate with a separate checkout API. We also provide [frontend SDKs](https://docs.uselark.ai/guides/subscriptions/feature_access/) to check billing state (like remaining credits, feature access)\n* Seamless pricing changes that automatically apply to your customers without involving engineers\n* We also help you track margins & LLM costs per customer for AI applications\n\n📘 **Quickstart**: https://docs.uselark.ai/\n\n![uploaded image](/media/?type=post&id=95995&key=user_uploads/923500/df8c7258-bc58-4c50-99a2-79b06af9fd50)\n\n**Checkout + customer-facing portal included**\n\nNo separate APIs, state management, or webhooks\n\n![uploaded image](/media/?type=post&id=95995&key=user_uploads/923500/6adaf51f-5012-4edd-b7f8-773cf5688eff)\n\nCustomer-facing portal includes real-time usage and subscription management\n\n![uploaded image](/media/?type=post&id=95995&key=user_uploads/923500/062c65c1-3ddf-409b-bfad-aaf95f24c116)\n\n**Scalability**\n\nLark supports up to 1M events per second so you don’t have to worry about pre-aggregating your data.\n\n![uploaded image](/media/?type=post&id=95995&key=user_uploads/923500/79359907-1af9-4baa-a5c4-cac78402715e)\n\n**Team**\n\n[Vijit](https://www.linkedin.com/in/vijitdhingra/) and [Jack](https://www.linkedin.com/in/jackcbrown/) both previously built the [usage based billing](https://stripe.com/billing/usage-based-billing) and [customer portal](https://docs.stripe.com/customer-management) product at Stripe.", "url": "https://www.ycombinator.com/launches/OyJ-lark-stripe-without-the-workarounds", "votes": 25, "created_at": "2025-12-04T22:37:50.310Z" }, { "id": 93109, "title": "Lark: AI Agents for Billing", "tagline": "We build AI agents to solve billing issues for subscription companies. ", "body": "**TL;DR** \n\nLark helps subscription companies automate customer billing support inquiries, manage chargebacks, and prevent fraud.\n\nhttps://youtu.be/gmg8HxjaS1Q\n\n**Problem**\n\nBilling your customers is hard.\n\nTeams spend tens of hours every week attending to billing support inquiries and customers often wait days to receive a response. You also have to worry about fraud and chargebacks.\n\nAll of this is distracting for your team and no one likes working on this. Ignoring the issue leads to frustrated customers, risk of being banned from your payment processor, and lost revenue.\n\n**Solution**\n\nLark provides AI agents that automate all of this for you.\n\nOur agents integrate with your billing provider, support system (e.g. zendesk), and data sources to gather context about the customer and take actions on your behalf. The agents’ decisions are evaluated against strong guardrails to ensure their actions are safe and follow your policies.\n\n**Team**\n\n[Vijit](https://www.linkedin.com/in/vijitdhingra/) and [Jack](https://www.linkedin.com/in/jackcbrown/) both previously built the usage based billing product and customer portal for a large billing provider. Jack has solved billing issues at several startups. \n\n**Our Ask**\n\nIf you’re tired of dealing with billing issues or know someone who is, we’d love to chat! We’re currently working with a few large consumer companies and are actively looking to onboard more customers. We’re also happy to chat about anything in the billing space!\n\n**Contact Info**\n\n[founders@uselark.io](mailto:founders@uselark.io)\n\n[Book time here](https://calendly.com/founders-uselark/lark-chat)", "url": "https://www.ycombinator.com/launches/ODl-lark-ai-agents-for-billing", "votes": 43, "created_at": "2025-08-18T19:33:29.250Z" } ] }, { "id": 30903, "name": "Kestrel AI", "slug": "kestrel-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a17c93b508bc423bb59667db4befdfd07cfd6f68.png", "website": "https://usekestrel.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Kestrel is the AI automation layer for platform engineering teams.\r\n\r\nPlatform teams use Kestrel to automate incident response, cloud provisioning, CI/CD, security, and developer requests across their stack.\r\n\r\nKestrel turns natural-language prompts into deterministic, production-ready workflows with 40+ integrations, 200+ pre-built actions, and support for custom HTTP and webhook actions.\r\n\r\nDeveloper-first, with a CLI, Python SDK, and MCP server to manage workflows from where platform teams already work.", "one_liner": "AI Agents for Platform Engineering", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1761187283, "tags": [ "AIOps", "Developer Tools", "DevOps", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/kestrel-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/kestrel-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kestrel-ai-security/", "x_url": "https://x.com/kestrel__ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/KestrelAI/Kestrel-Operator", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a17c93b508bc423bb59667db4befdfd07cfd6f68.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1567ed15193a6530e6a8ca6468ddada7553e0aa0.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 2950276, "full_name": "Raman Varma", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO. Prev: CS @ Berkeley; ML @ Sky Computing / BAIR labs, Square, Coursera; SWE @ Illumio.\nBuilding Kestrel – AI agents for platform engineering teams.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ramanvarma/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b2b5f7e9806eb261a5342845ec47b959b65e467e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 104092, "title": "Kestrel - AI Agents for Platform Engineering", "tagline": "Automate incident response, CI/CD, developer requests, security, and more with AI agents that build deterministic workflows across your platform stack.", "body": "TL;DR: Kestrel turns natural-language prompts into deterministic, production-ready workflows that automate incident response, cloud provisioning, CI/CD, security, and developer requests. It supports 30+ integrations and is developer-first, with a CLI, Python SDK, and MCP server so you can manage workflows from where you (and your coding agents) already work. Build your first workflow in <5 mins with $1,000 in usage credits at [usekestrel.ai](http://usekestrel.ai).\n\n\n\n**The Problem**\n\nCoding agents made every developer faster. But the platform team did not get faster with them.\n\nDevelopers now ship with Cursor/Claude/Codex and generate infrastructure, deployments, and provisioning requests at a rate no platform team was staffed for.\n\nAt illumio I once waited more than three weeks just to get Kafka clusters provisioned for a new service I was building. And provisioning is only part of it. The platform team is also on the hook for incident response when production breaks, repairing the CI/CD glue that ties the deployment pipeline together, platform security, and every \"can you just\" developer request in Slack.\n\nMost platform teams pick one of two bad options. They hand developers (and their agents) direct access to infra, CI/CD, and cloud accounts, and hope nothing breaks. Or they gatekeep and become the bottleneck every developer has to wait on.\n\nBuilding a platform that developers actually like has been a luxury only the largest engineering orgs could staff, and an understaffed platform effort usually does more harm than good.\n\n**The Solution**\n\nSee how it works: \n\nPlatform teams use Kestrel to automate incident response, cloud provisioning, CI/CD, security, developer requests, and more across their stack. You describe what you want to automate in plain English, and the Workflow Agent builds the whole thing. It draws from 140+ pre-built actions across 30+ integrations, plus custom HTTP APIs and webhooks for anything that isn't built in yet.\n\nOnce a workflow is configured it runs deterministically with no LLM deciding what to do at runtime.\n\nYou can define workflows that handle self-service developer requests without handing over the keys; scope who can trigger each workflow; fence it to specific clusters, cloud accounts, or repos; and require approval before anything touches production. Developers get a golden path without free rein, and the platform team keeps the guardrails without gatekeeping.\n\nKestrel analyzes your connected integrations and suggests ready-to-deploy workflows, and the Workflow Assistant turns your existing runbooks and scripts into production-ready automations, so you don't have to start from scratch: \n\nEvery workflow you build in Kestrel is fully observable, with a dashboard that shows what's running, what's waiting on approval, and what failed; real-time step-level logs; and a failure diagnosis agent that fixes failed workflows for you: \n\nThe [Kestrel CLI](https://docs.usekestrel.ai/workflows/cli), [Python SDK](https://docs.usekestrel.ai/workflows/sdk), and [MCP server](https://docs.usekestrel.ai/workflows/mcp) let you and your coding agents build and manage workflows from the terminal and application code.\n\n**How It Works**\n\nFirst, connect your platform stack. Kestrel supports 30+ integrations across infrastructure, PaaS, AI compute, observability, on-call, networking, databases, CI/CD, and IaC:\n\n![uploaded image](/media/?type=post&id=104092&key=user_uploads/2950276/c11a044c-2df5-4c23-8035-5c23b99ad45c)\n\nThen, open the Workflow Agent and describe what you want to automate. Here are a few examples:\n\n* “When a PagerDuty alert fires for the production Kubernetes cluster, run root cause analysis, post the findings to #incidents in Slack, create a P1 Jira ticket, and apply the recommended fix after approval in Kestrel.”\n* “When a developer submits a cloud provisioning request in Slack, route it to the team lead for approval, provision the AWS resources with Terraform in the infra repo, and notify the developer once the pull request is merged.”\n\nEverything you do in the dashboard is available via the CLI/SDK/MCP. E.g. you can generate a workflow, activate it, and clear an approval from the terminal:\n\n![uploaded image](/media/?type=post&id=104092&key=user_uploads/2950276/e5c068f1-98e7-4e35-9e83-407f2d4807a6)\n\n**Ask**\n\nIf you're a platform engineer or eng leader tired of manually responding to developer requests, incidents, or CI/CD failures, you can try it yourself today with a 14-day free trial and $1,000 in usage credits. Use suggested workflows and the Workflow Assistant to build your first platform automations in minutes.\n\nIf you want to learn more about what onboarding looks like or dedicated infrastructure/on-prem deployment options, [book a demo](https://calendly.com/hello-usekestrel/30min) and I'll walk you through it.\n\n[Try Kestrel today](https://platform.usekestrel.ai/register)", "url": "https://www.ycombinator.com/launches/R4u-kestrel-ai-agents-for-platform-engineering", "votes": 20, "created_at": "2026-07-01T23:54:04.445Z" }, { "id": 95330, "title": "Kestrel: AI Copilot for Kubernetes Ops & Security", "tagline": "Run Kubernetes securely and fix incidents in seconds, not hours.", "body": "Hey everyone, we’re [Raman](https://www.linkedin.com/in/ramanvarma/) and [Evan](https://www.linkedin.com/in/evanchopra/) from Kestrel 👋\\\n\\\n**TL;DR:** Kestrel helps teams using Kubernetes detect, investigate, and fix issues without manual firefighting. It monitors cluster health and security 24/7, finds root causes, and generates ready-to-apply YAML fixes - so incidents get resolved before you even reach for your laptop.\\\n\\\nLaunch video: https://youtu.be/HA2YziEBMVw\n\n**Ask:** If your team runs Kubernetes, we’d love to hear from you! You can reach out to us at [raman@usekestrel.ai](mailto:raman@usekestrel.ai) or [book a demo here](https://calendly.com/raman-usekestrel/demo). Or get started in minutes with a [14-day trial](https://platform.usekestrel.ai/register)!\n\n# **The** **Problem**\n\nRunning Kubernetes at scale is **chaos**.\\\n\\\nAs founding engineers on the Kubernetes Security team at Illumio, we saw both startups and large **organizations struggle with its complexity and scale**. For example, network policies are so tricky that many teams default to allowing everything, and even basic ops tasks like debugging failed rollouts mean spending hours digging through logs and events just to find where things went wrong.\\\n\\\nOver time, this complexity compounds and clusters begin to drift - configs diverge, policies break, and “temporary” workarounds become production. And when something goes wrong, **engineers are buried under alerts and reports** from disconnected tools, trying to debug blind at 3 a.m.\n\n# **Our Solution**\n\nKestrel is redefining how teams manage Kubernetes with the **first agentic platform that unifies ops and security**. It replaces manual triage with autonomous investigations and human-in-the-loop remediations - so issues that used to take hours to debug can be understood and fixed in seconds.\n\n💬 **AI Chat Assistant**: Investigate **any Kubernetes issue** across all of your clusters in plain English - skip the complex queries and context switching, and get answers with ready-to-apply YAML fixes from a single point of command.\n\n![uploaded image](/media/?type=post&id=95330&key=user_uploads/2950276/4cabf3fd-7053-4e7b-8562-4feaa5f72df4)\n\n🚨 **Incident Response**: Kestrel continuously monitors your clusters to detect incidents, trace root causes, and generate **YAML fixes that can be applied with a single click**. It's like having a dedicated on-call SRE team - without the burnout or headcount.\n\n![uploaded image](/media/?type=post&id=95330&key=user_uploads/2950276/218cbd5b-4100-4341-a02b-4b8ff04d5a26)\n\n🌐 **Topology Map**: Visualize your Kubernetes infra with classified intra-cluster, cross-cluster, and external traffic overlaid in real time.\n\n![uploaded image](/media/?type=post&id=95330&key=user_uploads/2950276/280f095a-4030-46bf-824e-1f0d421cf761)\n\n⚠️ **Risk Assessments**: Launch a swarm of specialized AI agents that discover vulnerabilities and provide **exact remediation steps** across network security, RBAC, privilege escalation, container image security and more. Validate fixes with a single click.\n\n![uploaded image](/media/?type=post&id=95330&key=user_uploads/2950276/53b80638-b9b4-4986-be1d-7a5ed6db5571)\n\n# **The Team**\n\n[Raman](https://www.linkedin.com/in/ramanvarma/) and [Evan](https://www.linkedin.com/in/evanchopra/) were founding engineers on Illumio’s Kubernetes team, where they built distributed systems to secure clusters for Fortune 500 companies.\\\n\\\nRaman previously worked on ML systems research at Sky Lab and BAIR. Evan was a security researcher during his Master’s in Computer Science, focusing on the Signal Protocol.\n\n![uploaded image](/media/?type=post&id=95330&key=user_uploads/2950276/7eeab8b1-9e35-4d4a-bac4-41b196c89fc7)\n\n", "url": "https://www.ycombinator.com/launches/Ona-kestrel-ai-copilot-for-kubernetes-ops-security", "votes": 37, "created_at": "2025-11-09T16:01:39.639Z" } ] }, { "id": 30954, "name": "Specific", "slug": "specific", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/32b20b00d4eefb0011495a24b9f27376787da0bc.png", "website": "https://specific.dev", "all_locations": "Stockholm, Stockholm County, Sweden", "long_description": "Specific lets your coding agent write code and build the infrastructure to deploy it. Connect your favorite coding agent and start building immediately. Run `specific dev` to get a full local environment running in seconds. Run `specific deploy` to go to production on our scalable cloud platform in minutes.", "one_liner": "The cloud platform built for coding agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1758776605, "tags": [ "Developer Tools", "No-code", "DevOps", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Sweden", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/specific", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/specific.json", "year_founded": 2025, "city": "Stockholm", "country": "SE", "linkedin_url": "https://www.linkedin.com/company/specific-dev", "x_url": "https://x.com/specific_dev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/specific-dev/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/32b20b00d4eefb0011495a24b9f27376787da0bc.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": 122815, "full_name": "Fabian Lindfors", "title": "Founder/CEO", "founder_bio": "Former tech lead at Stripe", "is_active": true, "linkedin_url": "https://linkedin.com/in/fabian-lindfors", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/45f81a6a414dd2adc196cedd91057f854284ace2.jpg" }, { "user_id": 2974997, "full_name": "Iman Radjavi", "title": "Founder/CTO", "founder_bio": "4+ years of experience building mission-critical backend systems. Most recently built and scaled energy grid systems that processed 1B+ data points daily. MSc in Computer Science.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/iman-radjavi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fbde14690de7669ddf979f48f85b09671d33fe42.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95350, "title": "Specific: production-ready backends from natural language", "tagline": "Create and scale production-ready backends without configuration or coding", "body": "Hi! 👋\n\nWe’re [Fabian](https://www.linkedin.com/in/fabian-lindfors/) and [Iman](https://www.linkedin.com/in/iman-radjavi/), and we’re building [Specific](https://specific.dev/) — an agent that builds and deploys backends from natural language.\n\nSpecific makes it effortless to create, scale, and manage production-ready backends, without configuration or coding. Just describe what you need, and Specific builds it.\n\n# Why we are working on this\n\nWe’ve spent our careers as engineers building and maintaining complex backend systems, and learning firsthand what it takes to make them reliable, secure, and scalable.\n\n* **Fabian** spent three years at **Stripe**, where he was tech lead for systems that processed tens of billions of dollars each year.\n* **Iman** spent four years at startups like **Fever** and **Braive**, building software that balanced national energy grids and managed sensitive healthcare data under strict regulatory requirements.\n\nAs AI unlocks software building at an entirely new scale and speed, backends need to keep up in reliability, security and scalability. Specific is our way of making that possible.\n\n---\n\nSee it in action: https://youtu.be/62QGL3drU44\n\n# Backends are hard\n\nBackend-as-a-service platforms have made backend development much easier, but not easy enough for a new era where AI lets anyone build software in minutes.\n\nThey still require deep understanding of concepts like database schemas, migrations, security and APIs to use effectively. That limits how powerful and flexible non-technical users can be. Ambitions often exceed what the platforms make possible.\n\nThis gap becomes particularly clear for AI coding platforms. Their agents can generate impressive web and mobile apps, but still rely on users to sign up for and connect to an external backend provider. Integrating those providers can take weeks, and maintaining them is an ongoing effort to make sure the agent truly understands how to use them.\n\n# How Specific helps\n\nSpecific offers a backend-as-a-service that’s entirely generated and maintained by our own expert coding agent. We designed it to understand user needs from natural language prompts, and to build a tailor made backend automatically.\n\nYou can connect any coding agent to Specific in minutes through our MCP server. Once connected, you can now generate fully featured, secure, and scalable backends to match any frontend.\n\nBecause the backend is built and managed by our own agent, there’s no need to teach your agent how to use an external platform or maintain fragile integrations. Specific handles everything end-to-end, scaling seamlessly as projects grow.\n\n![uploaded image](/media/?type=post&id=95350&key=user_uploads/122815/3655d431-5a32-424d-9a95-7d8f6f6f6eab)\n\nFor our initial launch, we are working with AI coding platforms like [Natively](https://natively.dev/) that create thousands of new projects _every day_. We are hearing from these platforms that they want to focus on what they do best, designing and building great apps, without worrying about backends.\n\nWith Specific, they can:\n\n* **Launch new isolated projects in seconds** through our API. Fully white-label, end users don’t need to configure anything.\n* **Scale automatically.** Projects scale up based on usage, and down to zero when idle.\n* **Integrate in minutes** by connecting through our MCP server. No need to spend weeks teaching their agents how to build and maintain backends.\n* **Enable common integrations instantly**. Authentication, payments and LLMs work out of the box with no API keys or setup required from users.\n\n# Come talk to us\n\nGet in touch at [hello@specific.dev](mailto:hello@specific.dev).\n\nWe are excited to talk to everybody who needs backends, whether you have years of experience building software, have just discovered vibe coding, or are building a coding platform for others.\n\nWe also have a waitlist that you can sign up for on our site: [specific.dev](https://specific.dev/). We will be inviting folks from the waitlist to a private beta of Specific soon. Sign up early to be one of the first to get access!", "url": "https://www.ycombinator.com/launches/Onu-specific-production-ready-backends-from-natural-language", "votes": 154, "created_at": "2025-11-10T02:28:02.906Z" } ] }, { "id": 31592, "name": "GitCafe", "slug": "gitcafe", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/10ae63bcc494b6d92bd37c0a46800fc12762436c.png", "website": "https://git.cafe", "all_locations": "San Francisco, CA, USA", "long_description": "We build GitHub for agents. We're rebuilding the infrastructure for the next hundred billion commits and CI jobs with hundreds of engineers already making the move.", "one_liner": "The Git forge for the next hundred billion commits", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1785301269, "tags": [ "Developer Tools", "B2B", "DevOps", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "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/gitcafe", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/gitcafe.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://twitter.com/gitcafe", "fb_url": null, "cb_url": null, "github_url": "https://github.com/git-dot-cafe", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/10ae63bcc494b6d92bd37c0a46800fc12762436c.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": 1920545, "full_name": "Veronica C.", "title": "Founder/CEO", "founder_bio": "Previously a founding engineer at Corgi S24 and returning to my roots in dev tooling.", "is_active": true, "linkedin_url": "", "x_url": "", "avatar_thumb_url": "/avatars/thumb/missing.png" } ], "jobs": [], "news": [], "launches": [ { "id": 109445, "title": "GitCafe: A Git forge for teams and agents shipping hundreds of times a day, not twice.", "tagline": "The Git forge for agent-scale teams", "body": "Software development is becoming much more parallel. Coding agents let a team have dozens or hundreds of related changes moving at the same time, creating more branches, reviews, CI runs, and automation than existing workflows were designed to absorb.\n\nToday, we’re opening GitCafe in public beta. It is a Git forge built for teams where humans and coding agents may ship hundreds or thousands of changes a day. We’re building the hosting, review, CI, security, and automation layer for that way of working.\\\n\\\nHundreds of users are already on GitCafe, and we’re currently running trials with roughly a dozen YC companies.\n\n![uploaded image](/media/?type=post&id=109445&key=user_uploads/1920545/eecbfb4f-82f1-4660-8ee8-aeea5273a8b9)\n\nGenerating code is only part of the problem. Teams still need to understand what is changing, review it safely, keep CI moving, catch security issues, and coordinate work without becoming overwhelmed.\n\nWe’re not building GitCafe because putting repositories, code review, and CI in one product is new. We’re building it because we believe the workload those systems need to support is about to change dramatically.\n\nWe started by rebuilding the Git infrastructure itself. Now we’re closing the product gap feature by feature.\n\nRecently, we added secret scanning, Buildkite and Harmont CI support, stacked diffs with Jujutsu and Sapling integration, and beta support for GitHub Actions.\n\nThese are foundational capabilities, not the destination. Building them on infrastructure we own gives us a base we can keep extending for higher-volume, agent driven development.\n\nThe honest version is that GitCafe is behind GitHub today. GitHub has spent more than a decade building an enormous product, and GitCafe does not yet have every workflow, administrative control, or integration that mature teams need. Some features are missing, some are experimental, and some edges are rough. We expect to earn the broader product surface, not claim it on day one.\n\nWe’re opening GitCafe now because the fastest way to improve it is to put it in the hands of teams doing real work.\n\nIf your team is already using coding agents heavily, try GitCafe at and tell us where the workflow breaks down.\\\n\\\n", "url": "https://www.ycombinator.com/launches/STF-gitcafe-a-git-forge-for-teams-and-agents-shipping-hundreds-of-times-a-day-not-twice", "votes": 64, "created_at": "2026-08-11T15:43:21.182Z" } ] }, { "id": 33177, "name": "HyperProbe", "slug": "hyperprobe", "former_names": [ "HyperTest inc" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b4b91e0b78bbed1c83add57d22b06ab632567450.png", "website": "https://hyperprobe.co", "all_locations": "San Francisco, CA, USA", "long_description": "With tools like Cursor and Claude Code, writing software is no longer the bottleneck. Debugging is. Agents cannot fix production crashes using logs and traces that were sized for human eyeballs. The gap is missing data.\r\n\r\nHyperProbe allows agents to debug live software autonomously. Our SDK drops non-breaking probes straight into running services to read exact variable states from memory at the moment of failure, instead of reasoning backwards from flat logs.\r\n\r\nZero redeploys. Under 1% CPU overhead. Automatic PII redaction.\r\n\r\nWe turn 4-hour production war rooms into 10-minute automated resolutions. As agents write and operate more of the world's software, HyperProbe is the runtime observability layer that lets them understand what they built.\r\n\r\n", "one_liner": "AI engineer that debugs and fixes production incidents in realtime", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1783455456, "tags": [ "AIOps", "Developer Tools", "SaaS", "DevOps", "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", "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/hyperprobe", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/hyperprobe.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b4b91e0b78bbed1c83add57d22b06ab632567450.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": 3173209, "full_name": "Shailendra Singh", "title": "Founder/CEO", "founder_bio": "Founder at HyperProbe. Also founded HyperTest. Previously headed and scaled engineering and product functions at a unicorn and few small startups.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shailendra-singh-6540b8b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/804a582f290d73d89dadb5a73815fc0814ca121d.jpg" }, { "user_id": 417680, "full_name": "Karan Raina", "title": "Founder/CTO", "founder_bio": "Founder and CTO at HyperTest (YC S26)\nMS CS Georgia Tech\n\n2nd time founder\nPreviously led a 50 member engineering team at Limetray", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/karanraina/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bd379360253464d14cb5b5a47a3911c2139eaa6d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110401, "title": "Hyperprobe: On-call Agent for engineering teams", "tagline": "The fastest way for coding agents to debug incidents live in production.", "body": "# \\*\\*\\*\\*\n\n**TL;DR:** AI writes most of our code now. Debugging it when it breaks in production is still slow, because the value that explains the failure was never logged. HyperProbe is an on-call agent for engineering teams. It takes an open incident to a confirmed root cause by dropping read-only probes into your running service and capturing the exact variable state logs don't have. No redeploys, no restarting the app. \\\n\\\n📹 **Launch Video: [https://youtu.be/QtaZrQ8_Uk8](https://youtu.be/QtaZrQ8_Uk8)**\n\n**🚧 The Problem**\n\nTeam ships faster than ever with agents that write most of our code. This is already shrinking the useful context engineers need to debug AI written code. Not helped by the limited telemetry added in the same code by AI. So when something breaks in prod, the first instinct for engineers is to open logs or throw them to agents. But if the line you are looking for is not there, agents will start guessing the root cause on limited data, forcing engineers to collect more logs by redeploys.\n\nThe result: our best engineers become our on-call team, incidents stay open longer, and patches come from data that never capture production context, so issues recur.\n\nYou can see where that leads. In September last year, a public fintech in India paid out $5 million after failed transactions were incorrectly marked successful. NYSE the same year miscalculated price bands for 40 symbols, printing trades so wrong they had to be reversed. Same pattern: the code ran clean, wrote the wrong state, and neither logs nor traces could show it.\n\n ✅ **What Hyperprobe does**\n\nHyperProbe gives engineering teams an on-call agent that works the incident and takes it to a confirmed root cause, live in production.\n\n* **Plan:** the agent picks up the alert from PagerDuty, Datadog, or Slack, then reads your logs and traces to locate the file and line. The easy incidents resolve right here.\n* **Probe:** logs not enough? places read-only virtual breakpoints on the suspect lines and captures the exact variable state live, across services. No redeploys, no restarts. \n* **Confirm:** the diagnosis is verified against real captured evidence, not a guess. Your engineer gets a confirmed RCA and commits the fix.\n\nThere are two pieces. An SDK that runs inside your service, and an MCP server your coding agent talks to. The SDK is what makes setting probes (virtual breakpoints, log or metric) possible without a redeploy. \n\n### **🔍 A few examples**\n\n* **An intermittent 500 that won't reproduce locally:** catch it live with full variable state \n* **A third-party API misbehaving:** see the exact payload and response\n* **A function returns a wrong value with no error:** see what it computed and why\n* **Anything that only happens in prod:** stop redeploying with console.logs\n\n🚀 **The team**\n\nWe've both lived this problem. Shailendra ran production at scale. Karan was a senior architect at a SaaS company. Before this, both spent three years building production SDKs for a testing product, learning the hard parts of pulling real runtime state out of a running service without breaking it.\n\nEvery incident we watched came down to the same question: what was the actual value at the moment it broke. Nobody built it for the way engineers debug with coding agents now. So we did.\n\n![uploaded image](/media/?type=post&id=110401&key=user_uploads/3173209/ddf3d8d0-2bd4-4a8c-9547-fa5ea2496469)\n\n### **🎁 Why now**\n\nFor thirty years the expensive part of software was writing it, and every tool got built for that. Generation is now nearly free, but the cost didn't disappear. It moved downstream, to figuring out why the generated code broke in production.\n\nAnd that system is now mostly code no human wrote or holds in their head. When it breaks, the engineer has less context than ever, and their first move is already to hand it to the coding agent. That agent only has your logs and traces, so it guesses. We give it the evidence instead, captured live from the running code at the point of failure.\n\n### **🙏 Our ask**\n\n* If you're an engineer tired of the redeploy loop, debugging code you didn't write at 2 AM, try it on your own service.**,** first investigation in 10 min:[ https://docs.hyperprobe.co/quickstart](https://docs.hyperprobe.co/quickstart)\n* If your best engineers have become your on-call team and you want that fixed, let us work one real incident from your stack, free: ", "url": "https://www.ycombinator.com/launches/Sif-hyperprobe-on-call-agent-for-engineering-teams", "votes": 82, "created_at": "2026-08-17T15:30:20.732Z" } ] }, { "id": 35260, "name": "OnePatch", "slug": "onepatch", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7832df887d718a7dbfbcec376ef2b160c31b16da.png", "website": "https://onepatch.dev", "all_locations": "San Francisco, CA, USA", "long_description": "OnePatch is a forward-deployed AI SRE. It instruments your services, watches how they actually behave in prod, catches incidents, and drives each one to resolution. 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