[ { "id": 5, "name": "CircuitHub", "slug": "circuithub", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5967d06c7b101af8570dc47b6eea5cd8567dd32b.png", "website": "https://circuithub.com", "all_locations": "London, England, United Kingdom", "long_description": "CircuitHub offers on-demand electronics manufacturing powered by our factory-scale robotics platform, The Grid. This platform delivers a 10x improvement in the speed and cost of small-batch electronics production. Leading customers like Tesla, NASA, and Zipline rely on CircuitHub to cut their time to market in half.", "one_liner": "On-Demand Electronics Manufacturing", "team_size": 58, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1322045523, "tags": [ "Hard Tech", "Hardware", "Robotics", "Manufacturing", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2012", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/circuithub", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2012/circuithub.json", "year_founded": 2012, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/circuithub", "x_url": "https://twitter.com/circuithub", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/circuithub", "github_url": "https://github.com/circuithub", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5967d06c7b101af8570dc47b6eea5cd8567dd32b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2005, "full_name": "Andrew Seddon", "title": "Founder/CEO", "founder_bio": "I'm building CircuitHub to automate and simplify electronics manufacturing—making it as seamless as writing software. Our platform helps hardware teams prototype and launch faster by tightly integrating design, sourcing, and assembly. Previously, I led teams working on computer vision and robotics at Cambridge Signal Processing and Oxford Metrics. Background in ECE from the University of Leeds. Passionate about closing the gap between software agility and hardware development.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/seddonandrew/", "x_url": "https://x.com/seddonandrew", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d9857a5667a1d94a35831704e333bf23deafbebc.jpg" } ], "jobs": [ { "id": 76919, "title": "Full-Stack Robotics Engineer", "url": "https://www.ycombinator.com/companies/circuithub/jobs/bUPM5eq-full-stack-robotics-engineer", "location": "Deerfield, MA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $250K", "equity_range": "0.10% - 0.40%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 80377, "title": "Full-Stack Robotics Engineer Summer 2026 Intern ", "url": "https://www.ycombinator.com/companies/circuithub/jobs/pxHqv58-full-stack-robotics-engineer-summer-2026-intern", "location": "South Deerfield, Massachusetts", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$6K / monthly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 81906, "title": "Operations Research Engineer", "url": "https://www.ycombinator.com/companies/circuithub/jobs/UM1QSjZ-operations-research-engineer", "location": "UK / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£80K - £150K GBP", "equity_range": "0.10% - 0.25%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Python" ] }, { "id": 81916, "title": "Haskell Engineer", "url": "https://www.ycombinator.com/companies/circuithub/jobs/OGZOqQ5-haskell-engineer", "location": "UK / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£80K - £150K GBP", "equity_range": "0.10% - 0.25%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Haskell" ] }, { "id": 81917, "title": "Computer Vision Engineer", "url": "https://www.ycombinator.com/companies/circuithub/jobs/js2U2cL-computer-vision-engineer", "location": "UK / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£80K - £150K GBP", "equity_range": "0.10% - 0.25%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Torch/PyTorch", "OpenCV" ] } ], "news": [], "launches": [] }, { "id": 460, "name": "Vastrm", "slug": "vastrm", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://vastrm.com", "all_locations": "San Francisco, CA, USA; Burlingame, CA, USA; Remote", "long_description": "Vastrm Fashion™ (pronounced vas' trum) Vastrm was started to solve a basic problem: Shirts that don’t fit well!\r\n\r\nMass produced shirts were meant to accommodate a wide variety of body types with one standard size, and different brands have different sizing standards, making shopping difficult--many men must shop in 4 - 5 different stores before finding a shirt that actually fits! By providing a home try on program and giving the ability to make custom fit adjustments to all of their apparel, Vastrm allows its customers to finally hone in on and find the perfect fit for their unique body types.\r\n\r\nTang came up with the idea for Vastrm, which is a Sanskrit word for cloth, when a customer told him he had purchased a perfect shirt in Italy and has never been able to find the same fit again. He was considering flying back to Italy to track the shirt maker down, but Jonathan managed to adjust Vastrm shirts to the same fit.", "one_liner": "Mass customized active apparel. We are building a full turn key…", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer -> Apparel and Cosmetics", "launched_at": 1336241706, "tags": [ "Manufacturing", "Apparel", "Customization" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2012", "status": "Acquired", "industries": [ "Consumer", "Apparel and Cosmetics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vastrm", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2012/vastrm.json", "year_founded": 2012, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/vastrm", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 30619, "full_name": "Jonathan Tang", "title": "Founder/CEO/President", "founder_bio": null, "is_active": false, "linkedin_url": "https://www.linkedin.com/in/jonathantang/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2374146a4bbe9bbb25318ea23d2fecbfe9b11ec8.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 509, "name": "Logiblock", "slug": "logiblock", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://logiblock.com", "all_locations": "San Francisco, CA, USA", "long_description": "Logiblock makes electronic product development faster for startups and established firms alike. Logiblock is the client services division of Outbreak, Inc. Founded as a technology research and development group in 2008, Outbreak primarily develops and licenses embedded software technology.", "one_liner": "Logiblock engineers electronics and development tools to dramatically…", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1354492918, "tags": [ "Hardware", "IoT", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2013", "status": "Inactive", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/logiblock", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2013/logiblock.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": null, "x_url": null, "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/logiblock", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 55771, "full_name": "Kuy Mainwaring", "title": "Founder", "founder_bio": null, "is_active": false, "linkedin_url": "https://www.linkedin.com/in/kuy-mainwaring-1396a76", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5c1c3cd74e532fa20b8407202711f72123beeb25.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 779, "name": "Pakible", "slug": "pakible", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fcb8f74b73307ed4303eceb91f55cc00e877aa35.png", "website": "https://pakible.com", "all_locations": "San Francisco, CA, USA", "long_description": "2000+ customers use Pakible including Samsung, Reddit, Soylent, and the Golden State Warriors.\r\n\r\nWe make it insanely easy to design, price, and manufacture custom product packaging.\r\n\r\nLeveraging in house software to automate operations, an incredibly user-friendly customer-facing interface, plus amazing people + vendors. Pakible is an unbeatable experience and price compared to brokers or direct manufacturers.\r\n\r\nPackaging is the most slept-on market in the world, a $500B market just domestically representing over 2% of US GDP.\r\n\r\nWe're a startup of < 10 people. Come build something special with us, and have a huge role in doing so.", "one_liner": "We make it insanely easy to design, price, and manufacture custom…", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1416221132, "tags": [ "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2015", "status": "Inactive", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pakible", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2015/pakible.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/pakible", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fcb8f74b73307ed4303eceb91f55cc00e877aa35.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 7767, "full_name": "Nick Carson", "title": "Founder/CEO", "founder_bio": ".", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/nrcarson", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/08c653a8aca6e24d0f50e55b6e0282f473867e1b.jpg" }, { "user_id": 11718, "full_name": "Phillip Akhzar", "title": "Founder", "founder_bio": "www.Arka.com", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/phillip-akhzar-89612315/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5901909f4cc0e04a007d1a71ae8def3c681860aa.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 872, "name": "Assembly", "slug": "assembly", "former_names": [ "GetScale" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ccab13d3e0d1ffa05b2e8a687246cac34ef55b8.png", "website": "https://asm.co/", "all_locations": "Los Angeles, CA, USA", "long_description": "Crowdfunding has fueled an increase in innovative product companies turning to Chinese factories for production.\r\n\r\nYet, Chinese factories seem undifferentiated because they all make the same, unverifiable claims of excellence. \r\n\r\nThis results in competition centered on price. Factories are forced to under-bid contracts to win business, but often, they later surprise the customer with quality problems and delays.\r\n\r\nThis process is broken. We install cameras and remote monitoring software on the assembly line, and this ensures compliance with test protocol, improves quality, reduces liability, and helps fight warranty fraud.\r\n\r\nWe charge a nominal per-unit fee to the OEM and revenue share with the factory when they demonstrate compliance with quality standards (whether units pass or fail).\r\n\r\nIt encourages better behavior from factories and rewards those who perform with an audit trail of good performance that helps them win new foreign business.\r\n\r\nOn average, defect rate will fall 75% within 5 months of deploying Assembly at a factory.", "one_liner": "Advanced manufacturing and distribution solutions (for China-based…", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1429997718, "tags": [ "Logistics", "Manufacturing", "China" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2015", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/assembly", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2015/assembly.json", "year_founded": 2014, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/assembly-inc./about/", "x_url": "https://twitter.com/assembly_inc", "fb_url": null, "cb_url": null, "github_url": "https://github.com/asm-co", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ccab13d3e0d1ffa05b2e8a687246cac34ef55b8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 5656, "full_name": "Jonathan Friedman", "title": "Founder/CEO", "founder_bio": "Ph.D. in electrical engineering with a background in biomedical and industrial systems engineering. 2x YC Founder. Lives part time in China. Happy to help with supply chain, manufacturing, distribution, or design problems. If you move/sell physical products, I can probably find you more margin or more market share. Free consults for founders. Don't be afraid to ask. We'll learn new things together! Cheers.", "is_active": true, "linkedin_url": "https://linkedin.com/in/friedparts", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b9c50796999f8a6e02220db3c19ea223f5bb1757.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 947, "name": "Maderight", "slug": "maderight", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://maderight.com", "all_locations": "San Francisco, CA, USA; San Mateo, CA, USA", "long_description": "Global manufacturing, simplified.\n\nMaderight is your one-stop shop for fashion sourcing, manufacturing, and logistics. We manage your entire supply chain so that you can focus on building your brand and selling your products rather than worrying about manufacturing delays and mistakes. 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{ "id": 106437, "title": "Content and Communications Manager, Aerospace and Defense", "url": "https://www.ycombinator.com/companies/jiga/jobs/vFci01Y-content-and-communications-manager-aerospace-and-defense", "location": "US / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "11+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 106438, "title": "Program Manager - Production Programs", "url": "https://www.ycombinator.com/companies/jiga/jobs/4Biij08-program-manager-production-programs", "location": "US / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 106439, "title": "Senior Account Executive Defense - Israel", "url": "https://www.ycombinator.com/companies/jiga/jobs/rxWEq2S-senior-account-executive-defense-israel", "location": "IL / Remote (IL)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106440, "title": "Account Executive - Remote/US", "url": "https://www.ycombinator.com/companies/jiga/jobs/PLIRiiL-account-executive-remote-us", "location": "US / San Francisco, CA, US / Remote (US; San Francisco, CA, US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$110K - $180K", "equity_range": "0.01% - 0.10%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106443, "title": "Senior Account Executive - Defense", "url": "https://www.ycombinator.com/companies/jiga/jobs/eqAtnJ9-senior-account-executive-defense", "location": "US / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$130K - $200K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106444, "title": "Manufacturing / NPI Engineer", "url": "https://www.ycombinator.com/companies/jiga/jobs/UCNnInE-manufacturing-npi-engineer", "location": "US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106445, "title": "Logistics Manager - Remote/Anywhere", "url": "https://www.ycombinator.com/companies/jiga/jobs/aBVydpB-logistics-manager-remote-anywhere", "location": "VN / PH / Remote (VN; PH)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 106446, "title": "Head of Supplier Growth", "url": "https://www.ycombinator.com/companies/jiga/jobs/ncLKacf-head-of-supplier-growth", "location": "US / Remote (US)", "type": "Full-time", "role": "Operations", 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Series A", "url": "https://www.axios.com/pro/supply-chain-deals/2025/11/18/exclusive-hardware-sourcing-platform-jiga-closes-12m-series-a", "date": "Nov 18, 2025" } ], "launches": [ { "id": 86643, "title": "Jiga: The White Box Manufacturing Platform 🦾", "tagline": "Source high-quality, cost-competitive custom parts faster by partnering directly with vetted manufacturers", "body": "# **What is Jiga?**\n\nJiga is a sourcing platform that enables engineers to get quick quotes and place orders with manufacturing suppliers, maintaining full transparency and direct communication to the manufacturer who actually make the parts.\n\nWe are proud to help the best engineering teams in the world bring their products quickly from idea to production, including blue-chip accounts such as Tesla, NASA, Apple, KLA, Siemens, and others.\n\n![uploaded image](/media/?type=post&id=86643&key=user_uploads/371504/9cf849f6-bf2d-49a5-b221-c7917443aae7)\n\n\n# **Why We Built Jiga?**\n\nMechanical engineers often face challenges when sourcing custom parts, such as managing messy email threads and maintaining spreadsheets of quotes and quote requests.\n\nThese inefficiencies often lead to miscommunication, delays, and increased costs, making the procurement process time-consuming and frustrating for both sides.\n\n![uploaded image](/media/?type=post&id=86643&key=user_uploads/371504/07a793ad-c2e1-44a7-8dc8-e526f2c001e6)\n\n\nOn the other hand, many digital manufacturing services provide instant quotes but completely hide the manufacturer from the engineers, making it very hard to collaborate on complex parts. Imagine you are an engineer that spent weeks on designing a part on your 3D software, you need to talk to the machinist and explain them the small nuances in your design. Otherwise, they will get it completely wrong and valuable time and money will be wasted.\n\nWe call it \"The Black Box Problem\".\n\n# **Our Solution**\n\nJiga platform offers a transparent way to connects engineers directly with vetted suppliers, **facilitating** efficient collaboration and communication.\n\nBy eliminating the middleman, we reduce support expenses, enhance scalability by empowering suppliers to manage support, and create strong network effects through collaborative workflows.\n\nWe use AI under the hood to automate all the manual tasks that engineers (and no one else, really) want to do: matching the right suppliers, monitoring production processes, finding and reporting discrepancies, extracting data from engineering and procurement documents, following up, mitigating delays, and more.\n\n![uploaded image](/media/?type=post&id=86643&key=user_uploads/371504/351fb1a7-cd48-4be2-b6cb-8e78c4edf995)\n\n![uploaded image](/media/?type=post&id=86643&key=user_uploads/371504/8f6b2e32-00fb-47a5-82fb-7a3c3d3c735a)\n\n# **How to Get Started?**\n\nIf you are ready to ditch the black box:\n\n* Sign up: \n* Talk to us: [founders@jiga.io](mailto:founders@jiga.io)\n* Follow our engineering content on LinkedIn: ", "url": "https://www.ycombinator.com/launches/MXT-jiga-the-white-box-manufacturing-platform", "votes": 21, "created_at": "2025-01-07T15:36:26.015Z" } ] }, { "id": 23970, "name": "Jupe", "slug": "jupe", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/32999b03bfa83f47b9348a7e827836b3d847b026.png", "website": "http://www.jupe.com", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Just add land", "team_size": 7, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Housing and Real Estate", "launched_at": 1629604306, "tags": [ "Hardware", "Housing", "Manufacturing", "Proptech", "Climate" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Inactive", "industries": [ "Real Estate and Construction", "Housing and Real Estate" ], "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/jupe", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/jupe.json", "year_founded": 2020, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/jupe-inc/", "x_url": "https://twitter.com/JupeInc", "fb_url": "https://www.facebook.com/jupethereitis", "cb_url": "https://www.crunchbase.com/organization/jupe", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/32999b03bfa83f47b9348a7e827836b3d847b026.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 240569, "full_name": "Jeff Wilson", "title": "Founder", "founder_bio": "🧢 Co-founder @ No Cap (W23)*\n🤠 Co-founder @ Jupe (S21) \n🗑 1 X dumpster dweller\n📍 SF <> MARFA\n\n*Post-batch co-founder", "is_active": false, "linkedin_url": "https://linkedin.com/in/jeffwilsonphd", "x_url": "https://twitter.com/profdumpster", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/abebd3506dc7b5049f94444180cc617f8972ad2e.jpg" }, { "user_id": 707496, "full_name": "Antonio Gonzalez", "title": "Founder", "founder_bio": "Building the future of housing and hospitality through Design and Automation", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/jantoniogonzalez/", "x_url": "https://twitter.com/antoniozalez", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4ec2af641b4450c377892bf796e035c66b5df92d.jpg" } ], "jobs": [], "news": [ { "title": "Jupe wants to solve for X, where X is the 1.5B people without adequate shelter – TechCrunch", "url": "https://techcrunch.com/2021/12/07/jupe-series-a/", "date": "Dec 07, 2021" } ], "launches": [] }, { "id": 24256, "name": "AI Tech Packs", "slug": "ai-tech-packs", "former_names": [ "Muse" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6427a932886d345ee567b4d32212b20d32be6163.png", "website": "https://aitechpacks.com", "all_locations": "Los Angeles, CA, USA", "long_description": "AI Tech Packs is software that generates factory-ready techpacks in minutes for apparel design teams who currently spend 3-4 hours on each one. Our customers are brands, licensing companies, and manufacturers producing 200+ techpacks a month. 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We plan to continually moving upstream, offering more complex manufacturing services including electro-mechanical assembly. \r\n\r\nWe’ve delivered critical parts for companies building custom robots, autonomous farms, PCB factories, weather modification technology, rockets, and more. ", "one_liner": "Advanced Contract MFG for fast moving hardware companies", "team_size": 9, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1625587751, "tags": [ "Robotics", "Manufacturing", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rmfg", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/rmfg.json", "year_founded": 2021, "city": "Fort Worth", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rmfg/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3d6481e53fac19208ab930fa400c6e6efc6e1d7b.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": 461358, "full_name": "Kenneth Cassel", "title": "Founder", "founder_bio": "Had my first kid at 20, worked in the trades for the better part of a decade and accidentally stumbled into software. Spent a few years as a software engineer. Had some more kids (4 total). Now I'm building a software-defined contract manufacturing company called RMFG", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kenneth-cassel/", "x_url": "https://twitter.com/KennethCassel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d203f2bcac882ae939157ea0e0dbd0faa8843ac6.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 24705, "name": "Sensible Biotechnologies", "slug": "sensible-biotechnologies", "former_names": [ "Genbiotics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/45d14c57e3b4e2739c65c0bb84a511608548ffa2.png", "website": "https://sensible.bio", "all_locations": "Oxford, England, United Kingdom", "long_description": "The future of mRNA therapeutics is hampered by manufacturing challenges and unless solved, its exciting potential may never be realised. Sensible enables the next generation of mRNA medicines by turning living cells into factories producing abundant, highly stable and non-immunogenic mRNA in a scalable and cost-effective way.", "one_liner": "Unlocking the next generation of mRNA medicines", "team_size": 55, "industry": "Healthcare", "subindustry": "Healthcare -> Therapeutics", "launched_at": 1680519323, "tags": [ "Synthetic Biology", "Biotech", "Manufacturing", "Therapeutics", "Biotechnology" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "Healthcare", "Therapeutics" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sensible-biotechnologies", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/sensible-biotechnologies.json", "year_founded": 2021, "city": "Oxford", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/sensible-biotechnologies/", "x_url": "https://twitter.com/sensible_bio", "fb_url": "https://www.facebook.com/SensibleBiotechnologies", "cb_url": "https://www.crunchbase.com/organization/sensible-biotechnologies", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/45d14c57e3b4e2739c65c0bb84a511608548ffa2.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": 327676, "full_name": "Miroslav Gasparek", "title": "Founder", "founder_bio": "I am Miro, CEO and Co-Founder of Sensible Biotechnologies. We build a cell-based platform for cost-efficient and scalable production of high-quality mRNA to unlock next generation of mRNA medicines.\n\nMy background is in computational modeling of biological systems and bioengineering. I have worked on developing Slovak national biosecurity policies - I am passionate about building biotech ecosystem in Eastern Europe. I studied Bioengineering at Imperial College London and Engineering at Oxford.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/miroslavgasparek/", "x_url": "https://twitter.com/MiroGasparek", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d25e01e0699856449f168b5f4aa9f2e1383bd123.jpg" }, { "user_id": 475409, "full_name": "Marian Kupculak", "title": "Founder", "founder_bio": "I am Marian, the Chief Scientific Officer and co-founder of Sensible Biotechnologies. We are building a new platform for cost-efficient and scalable manufacturing of high-quality mRNA.\n\nI have more than 9 year of experience in biochemistry and molecular biology, more specifically in cellular engineering and downstream processing. I am interesting in engineering cells to produce high-quality proteins and nucleic acids.\n\nI did my PhD in Biochemistry at the University of Oxford, UK. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marian-kupculak-34468a85/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e253a90c972be4ed5e591a638f3473284857f69c.jpg" } ], "jobs": [], "news": [ { "title": "Sensible Biotechnologies Partners with Ginkgo to Develop Novel mRNA Manufacturing Platform", "url": "https://www.genengnews.com/topics/bioprocessing/sensible-biotechnologies-partners-with-ginkgo-to-develop-novel-mrna-manufacturing-platform/", "date": "Apr 04, 2023" }, { "title": "Ginkgo partners up with Sensible Biotechnologies to forge mRNA manufacturing platform – Endpoints News", "url": "https://endpts.com/ginkgo-partners-up-with-sensible-biotechnologies-to-forge-mrna-manufacturing-platform/", "date": "Apr 03, 2023" }, { "title": "Sensible Biotechnologies And Ginkgo Bioworks Announce Partnership To Make In Vivo RNA To Unlock The Promise Of RNA Therapeutics", "url": "https://www.forbes.com/sites/johncumbers/2023/04/03/sensible-biotechnologies-and-ginkgo-bioworks-announce-partnership-to-make-in-vivo-rna-to-unlock-the-promise-of-rna-therapeutics/", "date": "Apr 03, 2023" }, { "title": "Developing a Novel mRNA Manufacturing Platform with Sensible Biotechnologies - Ginkgo Bioworks", "url": "https://www.ginkgobioworks.com/2023/04/03/developing-a-novel-mrna-manufacturing-platform-with-sensible-biotechnologies/", "date": "Apr 03, 2023" }, { "title": "Sensible Biotechnologies Announces Partnership with Ginkgo Bioworks to Develop Novel mRNA Manufacturing Platform", "url": "https://www.prnewswire.com/news-releases/sensible-biotechnologies-announces-partnership-with-ginkgo-bioworks-to-develop-novel-mrna-manufacturing-platform-301787563.html", "date": "Apr 03, 2023" } ], "launches": [ { "id": 70713, "title": "Sensible Biotechnologies: Engineering cells to make better mRNA 🧬", "tagline": "mRNA. Made better.", "body": "At Sensible Bio, we are turning living cells into cost-efficient factories for manufacturing high-quality mRNA to unlock the full potential of mRNA therapeutics and vaccines.\n\n### **tl;dr**\n\nMessenger RNA (mRNA) is a promising biological platform for both vaccines and therapeutics. Today, all mRNA is synthesised via cell-free processes, which are expensive, cumbersome, and cannot produce mRNA with sufficient quality for many of its promising clinical applications. **We engineer cells to produce high-quality mRNA in a scalable and cost-efficient fashion to meet the growing demand for mRNA in novel vaccines and therapies.**\n\n### **The Problem: Cell-free mRNA manufacturing**\n\nCurrently, mRNA production completely relies on In Vitro Transcription (IVT), a cell-free process involving numerous proprietary and expensive enzymes and reagents. This method also requires multiple intricate steps, laborious purification procedures, and cannot be scaled to large reaction volumes.\n\nImportantly, IVT-based mRNA manufacturing generates highly immunogenic double-stranded RNA (dsRNA), which is posing risks in some of the most important applications of mRNA such as in gene editing and cancer. Moreover, it is difficult to produce and purify long mRNA sequences via IVT; this creates major obstacles for other promising mRNA modalities like self-amplifying mRNAs, which could significantly reduce the high amounts of mRNA needed for many of its therapeutic applications.\n\n**To truly unleash the power of mRNA more efficient, affordable, and effective mRNA manufacturing methods are needed.**\n\n![uploaded image](/media/?type=post&id=70713&key=user_uploads/89898/0eb9ee01-1c73-46bd-b15f-3bc3376e2176)\n\n## **The Solution: Cell-free mRNA manufacturing (not done)**\n\n**We are utilizing the processes in the living cells, which have been producing high-quality mRNA for millions of years.** By combining natural cellular processes with cell engineering, we build a scalable platform to produce high-quality mRNA cost-effectively.\n\nOur platform enables the production of **longer mRNA**, while addressing the problem of **immunogenic double-stranded RNA** inherent in IVT.\n\nBy removing the need for expensive and proprietary reagents, we enable **cost-effective mRNA manufacturing** and improve access to mRNA technology. Also, the **scalability** of cell-based mRNA production strengthens biosecurity and supply chain resilience.\n\nOur objective is to become a partner for all pharma and biotech companies striving to produce the next generation of mRNA therapies and vaccines.\n\n## **The Platform**\n\nOur platform combines the principles of **cell engineering**, **computational** **biology** and **precision** **fermentation**. We exploit and optimise the selective packaging of the mRNA of interest into specific protein complexes. This enables a specific encapsulation of mRNA, prevents mRNA contamination and simplifies its downstream processing.\n\n![uploaded image](/media/?type=post&id=70713&key=user_uploads/89898/01d827a8-d966-4616-a155-5a029401da1d)\n\n## **Team**\n\nSensible Bio was founded in August 2021 by **Miroslav Gasparek** (CEO) and **Dr Marian Kupculak** (CSO).\n\n**Miro** holds a Bioengineering degree from Imperial College London and conducted research at Imperial College, Caltech and Stanford. He worked with several TechBio VCs and advised public and private institutions in Central Europe on life science R&D. Miro also advised the Slovak Ministry of Health and the Board Member of the World Health Organization on biosecurity and innovation.\n\n**Marian** has a PhD in Molecular Biology from Oxford, where he focused on genetic engineering and cancer. He has more than 9 years of full-time wet-lab experience with cellular engineering. He has worked at the leading European research centres, including the University of Oxford, the University of Gothenburg, and Vienna BioCenter.\n\nOur leadership includes the **global leaders in mRNA manufacturing**, as well as in **clinical development and strategy**. We also assembled a fantastic team of bioengineers and scientists from across the globe.\n\n## **Traction**\n\nUsing our proprietary technology we have demonstrated the **capability to produce the mRNA**. Additionally, we have secured a major [co-development partnership with Ginkgo Bioworks](https://www.ginkgobioworks.com/2023/04/03/developing-a-novel-mrna-manufacturing-platform-with-sensible-biotechnologies/). We also set up collaborations with leading research institutions across the globe. Sensible Biotechnologies has established lab operations in **Oxford, United Kingdom** and **Bratislava, Slovakia**. We have obtained **10 Letters of Intent** for our mRNA from the biotech companies and research groups that would like to test it.\n\nOur **scientific advisory board** includes world-leading synthetic biology, mRNA manufacturing, and clinical experts and our mentors include the top life science executives.\n\nOur investors include **specialist** **TechBio** **funds** and leading **biotech executives** investing as angels.\\\n\\\nWe're excited to be working on unlocking the full potential of mRNA technology. Are you interested? Get in touch at [**info@sensible.bio**](mailto:info@sensible.bio).\n\nDo you want to build the platform for making better mRNA with us? Drop us an email at [**careers@sensible.bio**](mailto:careers@sensible.bio) We are hiring **synthetic biologists**, **bioprocess** **engineers**, **mRNA Quality Control experts**, **RNA computational biologists**, and **machine learning engineers.**", "url": "https://www.ycombinator.com/launches/IOX-sensible-biotechnologies-engineering-cells-to-make-better-mrna", "votes": 19, "created_at": "2023-04-03T16:24:05.337Z" } ] }, { "id": 25306, "name": "Capuchin", "slug": "capuchin", "former_names": [ "WorldQL" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ea9d3b72b1fa93a8d4352fa71bae133957dcb7a7.png", "website": "https://capuchin.ai/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "", "one_liner": "Search and automation for engineer-to-order companies", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1648654841, "tags": [ "Manufacturing", "Defense", "Search", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/capuchin", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/capuchin.json", "year_founded": 2021, "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/ea9d3b72b1fa93a8d4352fa71bae133957dcb7a7.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": 859638, "full_name": "Jackson Roberts", "title": "Founder", "founder_bio": "Software engineer. My interests include distributed systems (both computer and IRL), novel business models, and discovering new problems. CU Boulder '21.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jackson-roberts/", "x_url": "https://twitter.com/jacksondotsh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/80066dd0452d0cffbba91d2412900a4241ea8303.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 25351, "name": "Axross Pte Ltd", "slug": "axross-pte-ltd", "former_names": [ "Axross Pte Ltd", "Axross", "bipi", "Axross", "bipi (formerly Axross)", "bipi" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a54413dcb3bda96eb7f8d5f729b2f2827a3dd276.png", "website": "https://www.axross.co/", "all_locations": "Singapore, Singapore; Jakarta, Jakarta, Indonesia", "long_description": "At Axross, we specialize in delivering AI-driven HVAC control systems designed to enhance energy efficiency and reduce operational costs for manufacturers. Our solutions are tailored to meet the stringent requirements of industries, where maintaining precise environmental conditions is critical.\r\n\r\nWith a team of experts in AI, data science, and industrial systems, Axross is committed to providing reliable, scalable solutions that help manufacturers achieve their energy efficiency goals and support sustainable practices.", "one_liner": "AI-driven HVAC control system for improved energy performance", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1641380402, "tags": [ "B2B", "Manufacturing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Singapore", "Indonesia", "Southeast Asia", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/axross-pte-ltd", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/axross-pte-ltd.json", "year_founded": 2021, "city": "Singapore", "country": "SG", "linkedin_url": "https://www.linkedin.com/company/axross-sg/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a54413dcb3bda96eb7f8d5f729b2f2827a3dd276.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 867030, "full_name": "David Chew", "title": "Founder", "founder_bio": "Consultant-turned-entrepreneur. First Class Aeronautics grad. 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Oscar was early-Uber, launching the transport business in APAC, UberEATS across APAC and EMEA, and even worked on self-driving cars for a bit. He is focused on figuring out how to get to a zero carbon future through economics for the environment.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oscar-peppitt-99965331/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/891eb20415e878dcdc872add782e3b25fe19d5ea.jpg" }, { "user_id": 723101, "full_name": "Rodny Heemskerk", "title": "Founder", "founder_bio": "Rodny is a trained industrial designer and CAD/CAM engineer. He previously built a successful manufacturing business. Rodny knows Cutr’s industry inside out – from workflow issues to machining solutions to how to close deals. At Cutr he is responsible for the sales and ops teams and working with the product team to turn his experience into scalable solutions.\n\n2013 Lean Startup Machine\n2015 Succesfull campaign at Kickstarter (US)\n2017-2020 Accelerator program - Entrepreneurs Organization (EO)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rodny-heemskerk-ab75b513/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aa084b26bc8ce6b3c448f6c49b0038a495a330b2.jpg" }, { "user_id": 723067, "full_name": "Jasper Mittelmeijer", "title": "Founder", "founder_bio": "Jasper built the procedural furniture generator & CNC controller that started Cutr. He started writing code in high school and wrote his first 3D render engine at 15. At Cutr, Jasper is responsible for the engineering & design team. Because of his broad skillset and experience he excels at getting new product shipped fast. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jaspermittelmeijer/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7329bb60a8a81e0ccc6b88886c26a1bba1a3dfa3.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 25541, "name": "Versable", "slug": "versable", "former_names": [ "Vista" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/27cef04a2b2af454d42923ab9d77113e9f198884.png", "website": "https://www.versableai.com/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Auto parts retailers get product data from hundreds of manufacturers that is inaccurate and inconsistent, often with big gaps in key values. They currently have a team of \"catalog managers\" who are required to process and enhance this data line by line, resulting in a week to months long lag between receiving product data and actually being able to start generating revenue from those products. \r\n\r\nVersable leverages AI to scan the web for tens of millions of auto parts listings, and uses a fine-tuned LLM with RAG to instantly process, enhance, and transform data. With just a part number, Versable is able to generate market-ready titles, product descriptions, and specs, in any format that's needed. 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I’m [Christina](https://www.linkedin.com/in/christinaseong/), founder of [Versable](https://versableai.com/).\n\nVersable uses AI fix sparse and messy catalogs in high-value, high pain legacy industries. Our first focus is the $500B auto aftermarket.\n\n### 🧩 **The problem: bad product data costs sales and is hard to fix**\n\n* Bad product data leads to **lost sales, slow time to market, and high return rates**, especially in the aftermarket where accuracy is critical.\n* Most aftermarket catalogs were built decades ago and are not designed for modern digital demands. Product data lives in silos, lacks standardization, and requires deep domain expertise to classify correctly.\n* Today, teams of catalog managers manually onboard, audit, and update product content for millions of SKUs, causing **weeks of delay before a part can start generating sales**.\n\n---\n\n### 🔧 **Why Versable solves this 10x better than status quo**\n\n* Versable is the **only tool built specifically to accommodate the technical complexity and massive scale required in industrial and aftermarket applications**. We use context aware and domain specific AI to automatically clean, standardize, and enrich product data with precision.\n\n![uploaded image](/media/?type=post&id=90121&key=user_uploads/581453/4c8ca459-6498-484b-a2a2-dbe5855e41f5)\n\n* With just a part number, Versable generates market-ready titles, product descriptions, and specs in any required format. This means our customers are able to sell more, faster, and across more platforms than ever before.\n\n![uploaded image](/media/?type=post&id=90121&key=user_uploads/581453/b8baa292-22ab-4890-afad-8799b1ce1b5b)\n\n### **🙏** **Our Ask**\n\nWe’d love any intros to anyone managing ecommerce data at scale, especially\n\n1. Sellers managing industrial products like auto parts\n2. Sellers managing multiple marketplaces and platforms (eBay, Walmart, Amazon, etc.)\n3. Service providers supporting these sellers (PIM systems/ecommerce syndicators, etc.)\n\nShoot me an email at [tina@versable.ai](mailto:tina@versable.ai)!", "url": "https://www.ycombinator.com/launches/NRZ-versable-generate-your-auto-parts-catalog-with-ai", "votes": 70, "created_at": "2025-05-06T02:30:12.462Z" }, { "id": 82840, "title": "Versable - AI-powered product data enhancement for the auto parts space", "tagline": "🚀 Supercharge your product data to help you sell more, faster.", "body": "Hi everyone! My name is [Christina](https://www.linkedin.com/in/christinaseong/), and I’m building [Versable](https://www.versable.ai/). We use AI to help auto parts manufacturers, retailers, and distributors generate market-ready product listings at scale.\n\n**The data problem in auto parts**\n\nAuto parts retailers get product data from hundreds of manufacturers, often riddled with inaccuracies, inconsistencies, and missing key values. This forces companies today to manually process and enhance this data line by line, causing a weeks to months long lag between receiving product data and actually being able to start generating revenue from those products.\n\nThis bottleneck means companies are slower to market and unable to onboard new products at the scale they want. Manufacturers also face challenges with data requirements, which limits their ability to sell across multiple retailers or even consider listing their own products on online marketplaces like Amazon or eBay, which have even stricter platform-specific content guidelines.\n\n**How Versable solves this 10x better than the status quo**\n\nVersable leverages AI to scan the web for tens of millions of auto parts listings and uses a fine-tuned LLM with RAG to instantly process, enhance, and transform product data. With just a part number, Versable generates market-ready titles, product descriptions, and specs in any required format. This means our customers are able to sell more, faster, and across more platforms than ever before.\n\nBy incorporating brand-specific voices and relevant SEO keywords, Versable ensures that in a market filled with near-perfectly competitive products, our customers can come out on top.\n\n![uploaded image](/media/?type=post&id=82840&key=user_uploads/581453/07aaedb4-ceef-4c5d-a8a5-270ac0c5e65e)\n\n**Our Ask**\n\n1. Connect us with companies dealing with auto parts (distributors, manufacturers, retailers)\n2. Reach out if you work with any e-commerce product data at scale! Always looking to connect with founders building other cool tools in the space. [tina@versable.ai](mailto:tina@versable.ai)\n3. Follow us on [LinkedIn](https://www.linkedin.com/company/versableai)!\n\n# ", "url": "https://www.ycombinator.com/launches/LY8-versable-ai-powered-product-data-enhancement-for-the-auto-parts-space", "votes": 61, "created_at": "2024-08-08T00:23:07.709Z" } ] }, { "id": 25914, "name": "IoTFlows Inc", "slug": "iotflows-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/db834b21af4ce2705ca320994110533bc0a0b2c6.png", "website": "https://www.iotflows.com/", "all_locations": "Atlanta, GA, USA", "long_description": "IoTFlows combines AI-powered hardware and software to give manufacturers real-time visibility into machine utilization, downtime, and workflow efficiency. Our plug-and-play platform analyzes data, generates actionable insights, and automates maintenance and operational tasks, helping teams optimize performance and achieve ROI in less than a month. 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We challenge today’s mundane, over-standardized car designs produced by the traditional automotive industry.\r\n\r\n► Olympian EVs are powered by an open, modular EV architecture. We are pioneering a new modular production model in the U.S., delivering 85–90% reductions in tooling and machinery costs, and achieved 60–80% faster production-lead-times compared to legacy automakers in the U.S.\r\n\r\n💸 Revenue Backlog: $61M+\r\n🚗 Number of Orders: 790+\r\n🏭 Production Capacity: 2,400 units in 2026\r\n✅ Backed by: YC, NVIDIA, Climate Capital, Mobility Vision, Amazon AWS, Soma & Collaborative.\r\n\r\n--\r\nOlympian has two pillars:\r\n1) Art-deco, aesthetic, but simple electric cars\r\n2) Modular EV architecture that enables rapid, cost-efficient production.\r\n\r\nOlympian rejects today's mundane and over-standardized car experience. We challenge the 40-year status-quo in automotive design, and bring aesthetic, simplicity and color back to the cars. \r\n\r\nWe are manufacturing electric vehicles with our innovative 'modular' vehicle & drivetrain architecture (MVDS), providing Olympian with strong cost and lead-time advantages compared to legacy automakers like Tesla and Ford. Olympian is disrupting 120+ years old automotive industry and targeting to capture 7% market share in the U.S. automotive market by 2030.\r\n\r\nOlympian developed a fully-decoupled, modular, EV drivetrain system (eMVDS) that provides a 'Lego-like' vehicle architecture. Built on 4-core-hardware and 2-core software modules, Olympus eMVDS platform unlocks 80% reduction in tooling & machinery costs and built ~60% faster production lead time. ", "one_liner": "Next-generation, modular electric vehicles", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Automotive", "launched_at": 1645825233, "tags": [ "Consumer", "Manufacturing", "Climate", "Transportation", "Electric Vehicles" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "Industrials", "Automotive" ], "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/olympian-motors", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/olympian-motors.json", "year_founded": 2021, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/olympian-motors/", "x_url": "https://twitter.com/OlympianMotors", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/olympian-motors", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/295a828c811272d963b3ebd52d4f226bb1023827.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 869016, "full_name": "Jasmine Sungu", "title": "Founder", "founder_bio": "Previously a Business Development Lead at Cisco. 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Our AI leverages standard CCTV cameras and learns how a manufacturing process looks like when things are going well and can automatically detect and track problems in real-time.\r\n\r\nFor example, one of our customers, a Pepsi supplier producing 500 bottles per minute now automatically detects and reacts to a fallen bottle before it starts blocking their production line. ", "one_liner": "Video AI to automatically detect and respond to production line…", "team_size": 16, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1659519771, "tags": [ "Deep Learning", "Computer Vision", "Video", "Manufacturing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Industrials" ], "regions": [ "Switzerland", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cerrion", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/cerrion.json", "year_founded": 2021, "city": "Zürich", "country": "CH", "linkedin_url": "https://www.linkedin.com/company/76510684/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a2cfaa4757206398a9d1678a216905dc2a248f11.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": 1001364, "full_name": "Karim Saleh", "title": "Founder", "founder_bio": "Karim is the Co-Founder and CEO of Cerrion. Karim grew up in Egypt where he was a professional athlete and captain of Egypt's Water Polo national team. He represented his country at three world championships while simultaneously receiving an electrical engineering degree from ETH Zurich. Prior to founding Cerrion Karim has built Unicorn Labs which has helped 30+ startups build their MVPs. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/karim-saleh99/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cb42488af359b4f1c8fea2fff34c6605bde806f2.jpg" }, { "user_id": 140429, "full_name": "Nikolay Kobyshev", "title": "Founder", "founder_bio": "Nikolay is the co-founder and CPO of Cerrion. He is in charge of building a product that Cerrion's users will truly love, and customer success.\nHe is a serial entrepreneur in the AI and CV space. Prior to Cerrion, Nikolay has built Spectando, an AI engine which generates photorealistic 3D models of real estate objects, and Assaia, a B2B Computer Vision solution which detects irregularities in airports’ ground operations.\nNikolay holds PhD and MSc degrees in Computer Vision from ETH Zurich.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nkobyshev/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/70bc945d7f0dadb179d9b7b52d4fa153e09efada.jpg" } ], "jobs": [], "news": [ { "title": "Cerrion raises $18M for factory intelligence platform", "url": "https://www.axios.com/pro/supply-chain-deals/2025/11/25/cerrion-raises-18m-for-factory-intelligence-platform", "date": "Nov 25, 2025" }, { "title": "Y Combinator-backed Cerrion raises $5 million in funding to boost AI Video tech in manufacturing - Tech.eu", "url": "https://tech.eu/2024/09/11/y-combinator-backed-cerrion-raises-5-million-in-funding-to-boost-ai-video-tech-in-manufacturing/", "date": "Sep 11, 2024" } ], "launches": [ { "id": 65196, "title": "Cerrion ⚡️ Computer Vision to automatically detect problems on production lines", "tagline": "Cerrion helps manufacturers automatically detect problems on their production lines using Computer Vision.", "body": "Hi everyone 👋 we are Karim, Nikolay and Michael, co-founders of [Cerrion](https://cerrion.com).\\\n\\\nWe help production teams understand when, where and why losses are happening on their production lines. Enabling them to act on problems faster, implement targeted improvement actions and understand the root cause of problems in a matter of minutes.\n\n**The problem: Production teams today struggle to track and eliminate deviations on their production lines**\n\nLack of transparency leads to around $1 trillion in annual preventable losses for the global manufacturing industry. Production teams today struggle to understand when losses on their production lines will happen and why they happen. To stay on top of your production a lot of trained and experienced eyes are needed. Given that today there is a 40% labor shortage in the US manufacturing industry alone, it is now more important than ever to help the existing workforce eliminate deviations on their production lines\n\n**The solution: Automatically monitor production lines for deviations**\n\nOur plug and play visual AI learns how a manufacturing process looks when things are going well and can automatically detect and track problems in real-time. This:\n\n\\- Eliminates the need for human monitoring;\\\n\\-Allows to detect subtle issues on the production line  before they become big;\\\n\\-Facilitates root cause analysis remotely and in a matter of minutes.\n\n![uploaded image](/media/?type=post&id=65196&key=user_uploads/1001364/919f2fc1-c895-4acd-ad72-16c22c3d17fc)\n\nOur AI in action ^\n\n**Can I deploy Cerrion in my production?**\\\nYes! Cerrion is already deployed in 4 countries and we are expanding. You can reach me at [karim@cerrion.com](mailto:karim@cerrion.com) to make it happen.", "url": "https://www.ycombinator.com/launches/GxY-cerrion-computer-vision-to-automatically-detect-problems-on-production-lines", "votes": 232, "created_at": "2022-08-08T12:43:31.235Z" } ] }, { "id": 26783, "name": "Raven", "slug": "raven", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3fb50438182aeb488057a1788d0a93f79ae1c8ec.png", "website": "https://startraven.com", "all_locations": "Bengaluru, KA, India", "long_description": "At Raven, we are building AI assistants for manufacturing plants which can offer intelligent assistance for day-to-day operations like training, job planning, troubleshooting, reporting and also helps with real-time analytics — all while seamlessly integrating with your existing systems.\r\nWe’re taking decades of manufacturing expertise and combining it with AI to solve real operational problems. 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", "is_active": true, "linkedin_url": "https://linkedin.com/in/priyanshs", "x_url": "https://twitter.com/proy31", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1077e68b458e299e40d385e644a977d5e3499cc3.jpg" }, { "user_id": 570729, "full_name": "Sriyansh Srivastava", "title": "Founder", "founder_bio": "Co-founder at Raven", "is_active": true, "linkedin_url": "https://linkedin.com/in/sriyansh7", "x_url": "https://twitter.com/sriyansh_s", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b6ce8cd8964038e91b7e06b0fc3fc782da377b9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 65513, "title": "🔔 Raven - A single API for product notifications across SMS, Email, Push, WhatsApp, Slack & more", "tagline": "We make it easy for businesses to manage all the multi-channel notifications they send to customers.", "body": "**TL;DR** Raven gives businesses a central platform to manage product notifications across SMS, Email, Push, WhatsApp, Slack & more. We do this by connecting 40+ providers like Twilio, SendGrid, Firebase with a single API and giving a central dashboard on top to design & monitor all notifications.\n\n```\n\n```\n\n**📝Book a demo** [**here**](https://calendly.com/priyanshs/platform-demo) **to learn more.**\n\nHey everyone - We’re Priyansh and Sriyansh (yes, we are brothers!) and we would love to tell you about [Raven](https://www.raven.dev).\n\n### 🚫THE PROBLEM\n\nBusinesses spend a lot of resources managing product notifications (think due-date reminders or verification codes). For example to send a payment reminder via SMS, Email & WhatsApp, you have to integrate multiple provider APIs like Twilio, SendGrid, then orchestrate channels basis user preferences and finally send the correct template on-time. The problem is -\n\n* Since each notification has it’s own set of templates & configurations, it becomes complex & time consuming to make any changes.\n* There’s no central visibility as the data is spread across multiple messaging providers. It is a pain for product teams to pull it from 5-6 diff sources, standardize and then analyze them.\n* Ensuring deliverability is a challenge. Some messages like OTPs are critical and their delivery failures lead to huge business losses.\n\n### 🎁OUR SOLUTION\n\nA central platform that brings all your messaging channels & providers in one place, where you can orchestrate and analyze them - all without engineering.\n\n* A single API to send notifications across channels via any of the 40+ providers like Twilio, SES, Firebase, Messagebird, Gupshup.\n* A dashboard gives central visibility on all templates, logs & delivery metrics allowing product teams to optimize CX by analyzing what works and what doesn’t, reduce redundant messages and thereby saving tons of money.\n* Reduces business risk by effectively managing delivery failures using failovers/retries across channels & providers.\n\n### \n\n![uploaded image](/media/?type=post&id=65513&key=user_uploads/584996/91936c0b-0457-43f0-9746-5eee037fcebf)\n\n### 💡WHY WE BUILT THIS\n\nWe’ve previously built the notification infrastructure for Apna (India’s fastest unicorn) & OkCredit (YC S18), and didn’t want any other engineer to go through the same pain as we did. It was not only us, but companies like LinkedIn, Netflix, AirBnB spend $10s of millions/yr with a 10-30 member engineering & product team which just does notifications 🤯.\n\n### 🤑 OFFER + ASK✨\n\n50% off first 3 months for startup community - email [founders@ravenapp.dev](mailto:founders@ravenapp.dev) to redeem\n\n**🥳 We’d love to talk to you -**  [**book a demo**](https://calendly.com/priyanshs/platform-demo) **with us today!**", "url": "https://www.ycombinator.com/launches/H2f-raven-a-single-api-for-product-notifications-across-sms-email-push-whatsapp-slack-more", "votes": 76, "created_at": "2022-08-20T19:48:21.781Z" } ] }, { "id": 27190, "name": "Sculpt", "slug": "sculpt", "former_names": [ "aBridge", "Abridge" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aecbe7c9746a215c5988fc9a472c03bbcb3fec72.png", "website": "", "all_locations": "Pune, MH, India", "long_description": "", "one_liner": "World Models for Aviation MROs", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1657149913, "tags": [ "B2B", "Manufacturing", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "India", "South Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sculpt", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/sculpt.json", "year_founded": 2022, "city": "Pune", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/sculptcosting/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aecbe7c9746a215c5988fc9a472c03bbcb3fec72.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": 466754, "full_name": "Vidhi Vakharia", "title": "Founder", "founder_bio": "Founder of Sculpt. We're helping precision manufacturers automate their should-cost analysis. Ex-Adobe, Rice University CS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vidhi-vakharia-812a2b114", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c0fb36b2800e3ab179e871ea581f9b3c0fd3e10a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 65179, "title": "Abridge 🚢 Flexport for India", "tagline": "We help importers/exporters ship anything from India in just a few clicks!", "body": "Hi, we’re Vidhi and Pradhith, and we’re super excited to introduce Abridge!\n\n### **What is Abridge?**\n\nAbridge is an intelligent logistics partner for importers/exporters who want to ship freight into or out of India. We digitize the full shipment lifecycle (online freight booking, optimized container load plans, automatically generated compliance documents, and online communication channels). We make the lives of importers and exporters easier by:\n\n1. Providing shippers an online freight booker and record-keeper of all shipments.\n\n ![uploaded image](/media/?type=post&id=65179&key=user_uploads/466754/984e8c45-fef1-4709-8f95-c772a576aa67)\n\n2. Saving shippers money (5-15%!) on every container shipped by providing them with optimized container stuffing plans and minimizing wasted space inside the container.\n\n ![uploaded image](/media/?type=post&id=65179&key=user_uploads/466754/dc39cc40-f6d6-483e-8b04-8aed92506f0c)\n\n3. Automatically generating all shipping compliance documents, thus saving shippers \\~3-9 emails/shipment in co-ordinating manually generated documents.\n\n ![uploaded image](/media/?type=post&id=65179&key=user_uploads/466754/5f7390c7-8d4e-412c-97d0-84ce37cc0fdf)\n\n4. Decluttering shippers’ email, messages, and phone lines by providing a shared online workspace for all shipment related communications with easy and intuitive referencing to each shipment.\n\n ![uploaded image](/media/?type=post&id=65179&key=user_uploads/466754/394747d5-512e-4bd1-808e-357abfa4f95f)\n\n\n### **Whom is Abridge for?**\n\nIf you import/export anything in India, what has been your biggest challenge when shipping goods? Click [here](https://calendly.com/abridge-vidhi/abridge-can-help-30mins?month=2022-08) to tell us!\n\n### **Can you try Abridge?**\n\nYes, we are currently open for shipments into and out of India! You can sign up [here](https://www.abridge.dev/demo) to digitize your India import/export needs!\n\n### **How did we come to build Abridge?**\n\nMy family has been exporting auto-parts from India to the US, France, and Germany for the last thirty years. Although the main business is manufacturing, managing shipping logistics is an unnecessarily high-touch, highly manual overhead in the business’ day-to-day operations.\\\nAdditionally, Pradhith and I also got to experience the tedious logistics around importing products into India while we developed our previous business — an e-commerce retailer in India. Other companies that were suppliers to our e-commerce retailer also said they faced the same issues!\\\nA lot of these issues have digitization and automation solutions, so it’s unnecessary that every importer/exporter has to manage logistics as a separate, highly-involved project in addition to their actual business. Our goal is to be the digital logistics partner that we wanted to partner with when we were running our previous business.", "url": "https://www.ycombinator.com/launches/GxH-abridge-flexport-for-india", "votes": 39, "created_at": "2022-08-06T20:04:56.744Z" } ] }, { "id": 27992, "name": "Proglix", "slug": "proglix", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b934ac4e6592338ecfb6059eed0e744a22a3698a.png", "website": "https://proglix.com/", "all_locations": "Jakarta, Jakarta, Indonesia", "long_description": "Proglix is a marketplace for small and medium manufacturers to buy metal and steel raw materials in Indonesia. With our platform, customers can easily order domestic and import raw materials with cheaper price, no minimum order quantities, 2x faster in SLA and real time inventory stock. \r\n", "one_liner": "B2B Marketplace for Steel Raw Materials", "team_size": 25, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1671782782, "tags": [ "Marketplace", "B2B", "Manufacturing", "E-commerce" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Industrials" ], "regions": [ "Indonesia", "Southeast Asia", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/proglix", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/proglix.json", "year_founded": 2022, "city": "Jakarta", "country": "ID", "linkedin_url": "https://www.linkedin.com/company/proglixindonesia/", "x_url": "", "fb_url": "https://www.facebook.com/profile.php?id=100086480051818", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b934ac4e6592338ecfb6059eed0e744a22a3698a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1166644, "full_name": "Wynn Wijaya", "title": "Founder", "founder_bio": "Wynn was born in Indonesia and have 7 years in B2B sector. He started his small business in 2016 trading electrical components to government project and power plant developer. Moving on in 2019, he expand the business into manufacturing in agriculture commodities and got contracted from local and global oil companies like Wilmar and Cargill. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/wynn-wijaya-76a2a8a4/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/61e8079eb10490ca376c66030892b87f33f57f10.jpg" }, { "user_id": 1170558, "full_name": "Prawira Indrawan", "title": "Founder", "founder_bio": "Software engineer, with 11+ years in software development. CTO of Proglix.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/prawira-indrawan-11826a256/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9377d16b061d91b84e8b20022d454c8cf8db135b.jpg" }, { "user_id": 1168404, "full_name": "Wendy Wijaya", "title": "Founder", "founder_bio": "Wendy has built several ventures in Construction distribution and F&B. In 2016, he started a steel distributor company located in Cikarang, Indonesia. 4 years later, he started Joomba, an F&B company that produce & sell smoothies. In 2022, Joomba has 70 outlets across Indonesia and invested by Jiwa Group (one of the biggest F&B company in Indonesia).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/wendy-noel-wijaya-b9b6648b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0341d50a65c24b09ed1608ff55ab96c686f924db.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 68562, "title": "Proglix - One stop shop for industrial raw material", "tagline": " Raw material procurement in one click", "body": "Proglix is a tech-enabled platform that enables SMEs in the infrastructure and industrial sectors to simplify their raw materials procurement. It incorporates technology into SME purchasing behaviour to provide clients with better items, at better costs, and in shorter time frames, as well as extensive online and offline assistance. Proglix offer a variety of raw materials, including industrial steel (structures, plates, and coils), electrical items, construction materials, and solar system components.\n\n**The Problem**\n\nSME’s in Indonesia usually buy their raw material from traders or wholesalers hence its not reliable in terms of stock availability, delivery time and price. \n\n**Our Solution**\n\nEnd to end procurement solution from stock integration and price updates with multiple manufacturers to customer order taking, tracking, delivery and payment. \n\n**How “procurement in one click” works:**\n\n1. Proglix allows each individual business to BROWSE raw materials categories from various manufacturers specification\n\n ![uploaded image](/media/?type=post&id=68562&key=user_uploads/1166644/789d2824-4759-4d7e-a11f-ceef74034891)\n\n2. ORDER the raw materials and PAY using cashless payment or financing option\n\n ![uploaded image](/media/?type=post&id=68562&key=user_uploads/1166644/b44647b1-e3b3-4103-831a-1f14b2657844)\n\n3. Finally DELIVER it directly to their business location.", "url": "https://www.ycombinator.com/launches/Hpq-proglix-one-stop-shop-for-industrial-raw-material", "votes": 28, "created_at": "2023-01-19T23:15:28.001Z" } ] }, { "id": 28221, "name": "Serial", "slug": "serial", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a8354b5bea40df992c6f00ba3131da07c65e1300.png", "website": "https://www.serial.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Serial is software to help manufacturers root cause problems in minutes not days and avoid millions in liabilities. Our solution integrates with data sources from any production line, enabling engineering & operations teams to ask questions about their manufacturing data and instantly get answers. Serial will become the single source of truth for manufacturing data.\r\n\r\nOur founding team has 10+ years of manufacturing and product design experience from Apple, Tesla, and more. We have suffered this problem firsthand and are building the tool to fix it.", "one_liner": "Root cause manufacturing issues in seconds", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1677010841, "tags": [ "SaaS", "Analytics", "Manufacturing" ], "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/serial", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/serial.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/serialmfg/", "x_url": "https://twitter.com/Serialmfg", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a8354b5bea40df992c6f00ba3131da07c65e1300.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": 1235892, "full_name": "Tak Alguire", "title": "Founder", "founder_bio": "Co-founder at Serial (W23). I've spent my carreer in the manufacturing space at Apple and Google. Now I lead the product team at Lumafield, making the best CT equipment in the world. Always will to trade notes with founders in the hardware/manufacturing space. ", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/tak-alguire/", "x_url": "https://twitter.com/tak_alguire", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7706faad70cc1b9507fe2a3181d9435c108126e4.jpg" }, { "user_id": 1208864, "full_name": "Devon Copeland", "title": "Founder", "founder_bio": "Co-founder and CTO of Serial (W23). Devon has spent over 5 years working in hardware engineering at companies like Apple, Tesla, and Aeryon Labs. His obsession with timely, data-driven decision making has guided the engineering of several features on Apple Watch Ultra and the Model 3. Today, Devon is laser-focused on bringing his wealth of analytical engineering knowledge to Serial, thereby unlocking new cheat codes for any company making physical products.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/dkccopeland/", "x_url": "https://twitter.com/devonkcopeland", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c510b7fa22096ecee2a33dfa2275d3148e7a4caa.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 69709, "title": "Serial - Unify your manufacturing data", "tagline": "Helping engineers root cause manufacturing issues in minutes ", "body": "### **TL;DR**\n\n[Serial](https://www.serial.io/) unifies data from your manufacturing process, enabling engineers to save time and root cause issues immediately.\n\n### **The Problem**\n\n* Root-causing manufacturing issues is a painful and time-consuming process that requires collecting and aligning all forms of data - log files, dimensional measurements, supplier reports, images, etc.\n* These costly problems result in millions of dollars in lost production capacity, scrapped parts or product recalls.\n\n### **The Solution**\n\n* A pipeline to collect, parse, clean and structure data from any source on a production line\n* Models to identify local trends or deviations in data to escalate quality risks in realtime\n* Single platform to ask any question about your data and immediately get an answer\n\n![uploaded image](/media/?type=post&id=69709&key=user_uploads/1235892/1d0a0ce5-e134-43ed-839e-b2ee1da42986)\n\n### **The Team**\n\nWe are Waterloo grads with 10+ years of experience in product design and manufacturing quality from Apple, Tesla, and North. We have suffered this problem firsthand and are building the tool we wish we had.\n\n![uploaded image](/media/?type=post&id=69709&key=user_uploads/1235892/4ee36f70-60d5-4903-9a22-d325dbead0e3)\n\n### **The Ask - Intros to Manufacturers**\n\nIf you are manufacturing products and share this pain, then reach out to [founders@serial.io](mailto:founders@serial.io) or sign up directly at [serial.io](https://www.serial.io/contact-us)", "url": "https://www.ycombinator.com/launches/I8L-serial-unify-your-manufacturing-data", "votes": 26, "created_at": "2023-02-27T17:43:34.649Z" } ] }, { "id": 28810, "name": "Zelos Cloud", "slug": "zelos-cloud", "former_names": [ "Zelos" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/afc3d576d23341fe3b3be62748770b0756c79dcc.png", "website": "https://zeloscloud.io", "all_locations": "San Francisco, CA, USA", "long_description": "Zelos Cloud is the data platform for mission-critical systems that enables teams to observe, control, and test systems from prototype to production. The platform connects across entire ecosystems, capturing data from many protocols, enabling remote command execution, and facilitating team collaboration through shared workspaces and real-time annotations. By integrating data collection, processing, and visualization into one seamless pipeline, Zelos Cloud eliminates complexity and breaks down silos between engineering, operations, and quality teams.", "one_liner": "The Data Platform for Mission‑Critical Systems", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1688766669, "tags": [ "Hard Tech", "Manufacturing", "Data Visualization" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "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/zelos-cloud", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/zelos-cloud.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/zeloscloud/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/afc3d576d23341fe3b3be62748770b0756c79dcc.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": 1264582, "full_name": "Michael Jaradah", "title": "Founder", "founder_bio": "Co-Founder @ Zelos Cloud. Former Tesla Energy Firmware lead. Experienced across domains like embedded, networking, safety systems and validation infrastructure.\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michaeljaradah/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/231fc91e47724ca63cb3dd02fa271f6a6ac6cb0d.jpg" }, { "user_id": 1265862, "full_name": "Taylor Keairns", "title": "Founder", "founder_bio": "Co-Founder @ Zelos Cloud. Former Tesla Energy Firmware/Software lead. Specialized in system programming for embedded Linux and RTOS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/taylor-keairns-872063125/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7c8cf19c0e1882975d641a95311761b2268b2cd5.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28818, "name": "Mandel AI", "slug": "mandel-ai", "former_names": [ "Enbank", "Fynt", "Fynt AI", "Fynt", "Fynt AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4cf3efb3a17f100893c2b9e11f3f945ba7fbdf04.png", "website": "https://www.mandel.ai/", "all_locations": "Sofia City Province, Bulgaria", "long_description": "Mandel runs the operational work across direct-materials sourcing and ordering - from RFQ through invoice - for manufacturers and distributors. It coordinates suppliers, checks orders and invoices against agreed terms, resolves discrepancies, recovers supplier credits, and keeps the ERP current.\r\n\r\nWorking across email, supplier portals, EDI, and ERP systems, Mandel investigates issues and carries out the next steps within your team’s approval rules.", "one_liner": "AI Coordination Layer for Supply Chain", "team_size": 9, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1691105932, "tags": [ "Logistics", "Manufacturing", "Supply Chain", "Procurement", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "Bulgaria", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mandel-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/mandel-ai.json", "year_founded": 2023, "city": null, "country": "BG", "linkedin_url": "https://www.linkedin.com/company/mandel-ai/", "x_url": "https://x.com/mndl_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4cf3efb3a17f100893c2b9e11f3f945ba7fbdf04.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1376951, "full_name": "Nick Gospodinov", "title": "Founder", "founder_bio": "Founder & CEO of Mandel AI (S23)", "is_active": true, "linkedin_url": "https://linkedin.com/in/nick-gospodinov-457643187", "x_url": "https://twitter.com/shmkkr", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/48ac7541cec5765c2018cacbe34300ac3b05df66.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 82795, "title": "Mandel AI - Never chase suppliers for updates again", "tagline": "We surface supply chain disruptions and supplier updates with email AI.", "body": "# **One Email Unsent - That’s all it could take for the global supply chain to crash**\n\nThe way to manage a supply chain has not changed since the invention of E-Mail and Excel.\n\n## **What’s the problem?**\n\nFor your ordered Tesla to be produced, there are thousands of suppliers that need to be coordinated so that a single bolt missing does not halt $billions of production.\n\nHowever, today, procurement teams manage this coordination through email, spreadsheets, PDFs (and, horrifyingly, sometimes even WhatsApp).\n\nThis means there are tons of supply chain disruptions not caught on time because an email or spreadsheet was not sent to or from the supplier.\n\n**This year, due to supply chain disruptions,** [**businesses will lose over $1.6 Trillion**](https://www.accenture.com/content/dam/accenture/final/capabilities/cross-service-group/iconic-thought-leadership/document/Resiliency-in-the-making-report.pdf)\n\n## **So how do we fix this?**\n\n[Mandel AI](https://www.mandel.ai/) is building autonomous supply chain agents that plug into the email and ERP of manufacturers to create a real-time, self-updating source of truth for your supply chain. Our AI-powered procurement agents:\n\n* Proactively email suppliers for order updates\n* Surface supply chain disruptions and extract supplier updates (like lead times & price updates) from emails\n* Save 20+ hours per week per team member\n\n![uploaded image](/media/?type=post&id=82795&key=user_uploads/1376951/2c1d8412-6fe0-4a76-9d51-d461ec432b01)\n\n![uploaded image](/media/?type=post&id=82795&key=user_uploads/1376951/6000a50f-4441-40d4-afcb-470574a4b499)\n\n![uploaded image](/media/?type=post&id=82795&key=user_uploads/1376951/cf3b9f13-47b4-4d05-b8c2-bf5bb39865ec)\n\n## **Why It Matters**\n\nProcurement teams spend up to 80% of their time manually emailing suppliers for RFQs and PO update requests, leading to production delays and miscommunications that can result in millions or billions in lost sales. As Covid proved, in today's global supply chain, real-time visibility and rapid response to issues are critical for the business and the end consumer.\n\n![uploaded image](/media/?type=post&id=82795&key=user_uploads/1376951/7e0f13f0-ca52-4e22-82f2-3726b9b2eaa4)\n\n**We have already processed $50M+ in material spend and 40,000+ email threads.**\n\n**To create your first Mandel AI agent, sign up on our website:**\n\n### [**www.mandel.ai**](http://www.mandel.ai)", "url": "https://www.ycombinator.com/launches/LXP-mandel-ai-never-chase-suppliers-for-updates-again", "votes": 80, "created_at": "2024-08-07T00:24:34.437Z" } ] }, { "id": 29045, "name": "Movley", "slug": "movley", "former_names": [ "Movley", "OpsNinja" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/79242638b23a78d632224e08f484f02f5318f098.png", "website": "https://movley.com/", "all_locations": "New York City, NY, USA", "long_description": "Movley is your e-commerce brand's product quality control department. 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They struggle with any task that isn't perfectly repetitive. We are building the eyes and brain (a proprietary vision system and AI model) that allow industrial robots to see, reason, and perform complex work with sub-millimeter accuracy and the adaptability of a human expert.\r\n\r\nWe are witnessing the start of a new industrial revolution: an era of advanced manufacturing powered by AI and robotics. We aim to lead this shift by putting these tools into the hands of every manufacturer, ensuring the power to invent and build at scale isn’t a privilege of the few.", "one_liner": "AI control layer for welding robots", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1706234384, "tags": [ "Robotics", "Manufacturing", "AI", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "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/tekton-dynamics", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/tekton-dynamics.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/maihem/", "x_url": "https://x.com/maihem_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/maihem", "github_url": "https://github.com/maihemlabs/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c88f8c82a6ce22ef99621a0f594acb23ef6aa48f.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": 1616651, "full_name": "Max Ahrens", "title": "Founder/CEO", "founder_bio": "Max is the Founder & CEO of Tekton Dynamics. He did his PhD and Postdoc in Machine Learning at the University of Oxford. During his Postdoc, he was also the Project Leader of a +$500,000 research grant which he was awarded by the Alan Turing Institute and the British Ministry of Defence. Previously, he worked as a consultant with McKinsey.", "is_active": true, "linkedin_url": "https://linkedin.com/in/maximilianahrens", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/80bef22695b3397da58980f1c3ebd03912d55d75.jpg" } ], "jobs": [ { "id": 96215, "title": "General Application", "url": "https://www.ycombinator.com/companies/tekton-dynamics/jobs/wfu5lO9-general-application", "location": "London", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "£75K - £180K GBP", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 96216, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/tekton-dynamics/jobs/knCVBh5-founding-engineer", "location": "London", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£100K - £150K GBP", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Python", "Machine Learning", "Deep Learning", "Computer Vision", "CAD Design" ] } ], "news": [], "launches": [] }, { "id": 29367, "name": "Draftaid", "slug": "draftaid", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0f9c73afb8a385d3fa57d5e1f327411fc22e4445.png", "website": "https://draftaid.io/", "all_locations": "Toronto, ON, Canada", "long_description": "DraftAid is the world's first generative AI for CAD manufacturing drawings, akin to GitHub Copilot but for CAD. It drastically shortens drawing creation time, turning hours into seconds.\r\n\r\nEvery product that is manufactured - from construction to aerospace, automotive, durable goods, and electronics—relies on drawings. Currently, engineers and designers painstakingly make these essential drawings manually. Draftaid streamlines this process saving teams millions in time and quality. \r\n\r\nThe idea was born out of Abdullah's experience as a mechanical design team member, where he created thousands of drawings and longed for a more efficient process. Partnering with Tahsin, a neighbour with a PhD in AI, and Mohammed, a seasoned engineering VP with experience in construction software, they turned the dream into reality.\r\n\r\nSince their launch in August, DraftAid has engaged customers through targeted outreach and word-of-mouth, securing paid pilots with subsequent contracts valued at $150,000.\r\n\r\nBe a part of ushering in the new era of CAD designs!", "one_liner": "Go from 3D models to CAD drawings using AI", "team_size": 14, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1704853466, "tags": [ "Construction", "Design", "Manufacturing", "Architecture", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Canada", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/draftaid", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/draftaid.json", "year_founded": 2023, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/draftaid", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0f9c73afb8a385d3fa57d5e1f327411fc22e4445.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 290663, "full_name": "Mohammed Al-arnawoot", "title": "Founder/CEO", "founder_bio": "Founder and CEO of DraftaidHe studied Mechatronics engineering at University of Waterloo with a focus on manufacturing systems. Before DraftAid, Mohammed worked as a Director of Engineering at Dozr, a Series B construction tech company. Where he wore many hats building a rockstar engineering team to deliver a new category of product. Before that he was a VP of eng. at Emagin (acquired by Innovyze), where he lead product solution development.", "is_active": true, "linkedin_url": "https://linkedin.com/in/mohammed-al-arnawoot-6a102a66", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6247127378655c8621e18a32e6f6f8b7fbef2766.jpg" }, { "user_id": 1653010, "full_name": "Abdullah Elqabbany", "title": "Founder/CPO", "founder_bio": "Abdullah is an electromechanical engineer with years of experience in design and manufacturing. In his last role Abdullah led manufacturing process automation where he worked to bridge the gap between design and manufacturing. Prior to that, he worked as a drafter where he made thousands of CAD drawings shaping Toronto’s skyline. DraftAid is the culmination of years of experiences solving the biggest challenges facing teams trying to go from design to manufacturing as efficiently as possible.", "is_active": true, "linkedin_url": "https://linkedin.com/in/abdullah-elqabbany-8160551a8", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/614a2af2b5de0ecb967e2380328587e7589ba936.jpg" }, { "user_id": 1653070, "full_name": "Tahsin Rahman", "title": "Founder/CTO", "founder_bio": "Cofounder and CTO of Draftaid, Tahsin has a PhD from the University of Toronto in Electrical and Computer Engineering. He has pioneered algorithms and machine learning techniques at the intersection of geometry, wireless communications, and quantum computing. Previously, he led a team of engineers and researchers in developing cyber security AI/ML systems for the Canadian Department of National Defence. Rewind 10 years and you would see him orchestrating instrumentation systems in Oil and Gas.", "is_active": true, "linkedin_url": "https://linkedin.com/in/muhammed-tahsin-rahman", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1eeb12f305ad162c2f4ffd7d8e0c120896b8fa2b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 78878, "title": "DraftAid: Automate your CAD drawings with AI!", "tagline": "Engineers designing everything from cars to skyscrapers use our software to turn 3D models into the detailed 2D fabrication drawings that manufacturers require.", "body": "# TLDR\n\nMechanical engineers and designers dedicate around 40% of their time to the labor-intensive process of converting 3D models into 2D fabrication drawings, crucial for manufacturers. Using [**DraftAid**](https://draftaid.io/), teams can automate this process with a single click and:\n\n* Save considerable time\n* Direct their focus toward more value-added tasks\n* Cut down on drawing errors, preventing expensive manufacturing mistakes\n\n# **The problem**\n\nModern design teams initiate their design by 3D modeling. To get their design manufactured, they need to make 2D drawings that look something like this:\n\n![uploaded image](/media/?type=post&id=78878&key=user_uploads/89898/590e3017-c1e8-4987-a30a-2c8469a2a8d6)\n\nMaking 2D drawings for what’s already been modeled in 3D takes up considerable time and energy. Design teams find themselves stuck investing 40% of their time in this manual task. This causes project delays while keeping talented designers busy doing repetitive tasks.\n\nLike any other repetitive manual task, making drawings can also be quite error-prone. Even with accurate designs, errors often sneak in and are only found when fixing them is an expensive endeavor.\n\n# **Enter DraftAid:**\n\nOur innovation streamlines the drafting process making it as effortless as a single click. Once engineers complete their 3D design, a single click swiftly produces a manufacturing-ready 2D drawing within seconds.\n\nThe resulting drawing is entirely editable, allowing engineers to make any necessary adjustments before sending it off for manufacturing.\n\nDraftAid allows teams to slash their current drawing time by up to 90% and eliminate common drawing errors. This not only enhances efficiency but also ensures consistency in drawings throughout the company, improving overall readability.\n\n![uploaded image](/media/?type=post&id=78878&key=user_uploads/290663/9f289b2c-ea8a-4f13-9a4e-f317ac9cd804)\n\n# **Meet the Power Trio:**\n\nWe are Mohammed, Abdullah, and Tahsin, a formidable team with a bond forged over three dynamic years of collaboration.\n\nBefore the inception of DraftAid, [**Mohammed Al-arnawoot**](https://www.linkedin.com/in/mohammed-al-arnawoot/)’s journey included roles as a software engineer and later as a VP of engineering (@ Emagin, acquired by Innovyze) and a Director (@ Dozr) in several start-ups. Navigating the challenging terrain from pre-seed to Series X.\n\n[**Abdullah Elqabbany**](https://linkedin.com/in/abdullah-elqabbany-8160551a8) is an electro-mechanical engineer who boasts a career marked by the creation of tens of thousands of drawings. Frustrated by the absence of a suitable drawing automation tool in his last role, he took matters into his own hands and built one from scratch.\n\n[**Tahsin Rahman**](https://linkedin.com/in/muhammed-tahsin-rahman) is a distinguished PhD graduate from the University of Toronto, who brings a wealth of experience in developing cutting-edge machine-learning solutions. In his previous role, he spearheaded an engineering team within the Canadian National Defence, crafting an AI-powered cybersecurity solution.\n\n# Our Ask:\n\n* Share our solution with any Construction or Automotive design companies you know.\n* Warm intros to design companies that spend a lot of time making drawings — email us at [mohammed@draftaid.io](mailto:mohammed@draftaid.io).\n* Follow us on [**Linkedin.**](https://www.linkedin.com/company/draftaid)", "url": "https://www.ycombinator.com/launches/KWE-draftaid-automate-your-cad-drawings-with-ai", "votes": 16, "created_at": "2024-02-28T23:52:36.882Z" } ] }, { "id": 29444, "name": "Vista Power", "slug": "vista-power", "former_names": [ "Vista Space" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/200c92ec7689cca5def8c23c08741030c6d28f97.png", "website": "https://vistapower.com", "all_locations": "San Francisco, CA, USA", "long_description": "Vista designs, finances, installs, and manages energy storage and solar at commercial, industrial, and multifamily properties for $0 upfront, helping businesses save up to 30% on their energy bills. The founding team previously worked at SpaceX, Rocket Lab, NASA and Firefly.", "one_liner": "Batteries and solar for $0 upfront to help businesses save money", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1706595297, "tags": [ "Energy Storage", "B2B", "Sustainability", "Manufacturing", "Renewable Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vista-power", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/vista-power.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/vista-power", "x_url": "https://twitter.com/vista_power", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/200c92ec7689cca5def8c23c08741030c6d28f97.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": 293472, "full_name": "Maxim Kraft", "title": "Founder/CEO", "founder_bio": "I care deeply about space, sustainability, and using economics and engineering to build a future worth living in for all humankind. In 2023, I co-founded Vista Power (fka. Vista Space) to help businesses use clean energy to save money on energy bills for $0 upfront. Previously, I worked on profit improvement at Starlink, built supply chain analytics tooling at Rocket Lab, and ran a software startup called Tour (acquired), which I co-founded in high school.", "is_active": true, "linkedin_url": "https://linkedin.com/in/maximkraft", "x_url": "https://twitter.com/2001kraft", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd4c7e3020f5390eae55ee60de1b4dc3091258c6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 79713, "title": "Vista Space: Structural batteries for high performance spacecraft", "tagline": "Our batteries let spacecraft have 2x the energy capacity or save 15-30% in volume", "body": "### **TL;DR**\n\n**About Us** \\\n[Vista Space](https://govista.space/) builds Tesla-inspired structural batteries to increase satellites’ energy capacity without increasing their size. The founders worked at SpaceX, Rocket Lab, and NASA. \n\n**The Ask** \\\nIf you or anyone you know are building spacecraft or any other products that could benefit from structural batteries, we should talk! Please reach out or send referrals our way to [sales@govista.space](mailto:sales@govista.space) or our website at . \n\n—\n\nHey all, we’re [Vista Space](https://govista.space/), co-founded by [Maxim Kraft](https://linkedin.com/in/maximkraft), [Petar Matejic](https://linkedin.com/in/petar-matejic), and [Chaitanya Kore](https://www.linkedin.com/in/ckore/). Our mission is to power the next generation of space exploration. \n\n### **Problem**\n\nPower is a fundamental constraint for space mission design, as everything operating in space requires electricity. Today's spacecraft power systems are not capable enough to support both the current and next-generation mission concepts, leading satellite manufacturers to painful trade-offs: **limiting additional hardware** or **increasing system size** to get more power. \n\n![uploaded image](/media/?type=post&id=79713&key=user_uploads/293472/5a1ec437-b4ee-4544-b3ad-5082e2be92c3)\n\nWith reduced capabilities, companies lose their technological advantage. With increased size, manufacturing costs are higher, risk of schedule delays is greater, and go-to-market is slower due to fewer spacecraft launches. **These trade-offs are fundamental limitations** of spacecraft design and space economics. \n\nWhile space-rated solar panels are thin, efficient, and can be foldable, **batteries take up significant useful volume** (up to 30% in small spacecraft) **and are vastly less capable** than the latest terrestrial equivalents.  \n\n### **Solution**\n\nTraditional spacecraft walls are purely structural, serving little functional purpose after launch while occupying valuable space. \n\nOur **Voltaris 1** module replaces these walls, providing **structural support and energy storage simultaneously**. This allows satellite manufacturers to **double their energy capacity** without increasing size or **gain 15-30% more useful volume** at the same power budget. \n\n![uploaded image](/media/?type=post&id=79713&key=user_uploads/293472/a51852a8-0dfc-46a5-a2bf-049c29a42d7e)\n\n**Key Features:** \n\n* **Inspired by structural batteries in EVs** like the Tesla Model Y and Cybertruck \n* **Plug and play with any chassis size**, bolting onto the chassis in place of aluminum walls \n* **Compatible with third-party electrical & power system** (EPS) modules inside \n* CubeSat modules **include a solar cell**, and all form factors have the electrical components & thermal protection systems to **work out of the box** \n* **Additional radiation protection** for the contents inside the chassis \n* Launching **to space in February 2025** \n* Targeting **pricing to be middle of the market** for space batteries\n\n \n\n### **About Us**\n\nMaxim & Petar met at SpaceX, working on Starlink and Starship, respectively, and bonded over discussing opportunities for satellite design improvements. Maxim met Chaitanya at a conference for rising NewSpace leaders and stayed in touch since. \n\n![uploaded image](/media/?type=post&id=79713&key=user_uploads/89898/1b0414fe-b273-4da1-b4fb-2265113278ca)\n\nMaxim: Berkeley alum (Economics & Physics). Former SpaceX, Rocket Lab. Taught a course on space economy and entrepreneurship during undergrad. \n\nPetar: Former SpaceX, NASA, Firefly, The Boring Company. Co-founded UNLV's student satellite team. \n\nChaitanya: Founded Space Force Association Great Lakes chapter. Helped secure a multi-billion-dollar battery gigafactory in Illinois.  \n\n### **The Ask**\n\n* Please share this post with your network, even outside the space industry! \n* If we’re building something you need, please reach out or send referrals to [sales@govista.space](mailto:founders@govista.space) or our website .\n* Leave an upvote!\n\n \n\n**Early adopter benefits:** Anyone who places a Pre-order gets personalized technical review sessions and priority delivery of the first production units. \n\nThanks all! Let us know what you think. ", "url": "https://www.ycombinator.com/launches/Kjh-vista-space-structural-batteries-for-high-performance-spacecraft", "votes": 43, "created_at": "2024-03-26T17:00:54.840Z" } ] }, { "id": 29688, "name": "camfer", "slug": "camfer", "former_names": [ "Camfer Inc.", "Camfer" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c19c2043057dddb96aa0fb4c1eb11f547911f429.png", "website": "https://www.camfer.dev/", "all_locations": "San Francisco, CA, USA", "long_description": "camfer is the AI CAD tool. Now, engineers can create parametric designs with natural language.", "one_liner": "Building the world’s first AI mechanical engineer.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1726008426, "tags": [ "Generative AI", "Hardware", "Productivity", "Manufacturing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Inactive", "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/camfer", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/camfer.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/camferinc", "x_url": "https://x.com/camfer_inc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c19c2043057dddb96aa0fb4c1eb11f547911f429.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1991210, "full_name": "Arya Bastani", "title": "Founder/CEO", "founder_bio": "Berkeley '23. FRC kid. I like electric racecars. Trained transformers to interpret EEG in BLISS Lab @ Berkeley. ex-AWS.\n\nMore @ aryabastani.com", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/arya-bastani/", "x_url": "https://x.com/AryaBastani", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/93f7ecd2abe2c21f44ee7a09152b6cc2addd9baf.jpg" }, { "user_id": 1366466, "full_name": "Keaton Elvins", "title": "Founder", "founder_bio": "EECS honors grad @ UC Berkeley, helped launch Amazon Q to millions of users", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/keatonelvins/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8147ee1991bdc3291e0efc46139580ee0dd53bfe.jpg" }, { "user_id": 1395477, "full_name": "Roth Vann", "title": "Founder", "founder_bio": "Dropped out of UCR to work on ads at Meta. Dropped out of Meta to build Camfer.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/rothvann/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/03748e361f6b95daf6cd973e55d2cf1272dd8f62.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 29753, "name": "Autumn Labs", "slug": "autumn-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5df469af020f91ac0b4d19796abb3d31c3518288.png", "website": "https://www.autumnlabs.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Autumn Labs delivers a developer-friendly platform for monitoring and managing modern manufacturing lines. Seamlessly integrating with robotic stations—automated test stations, robotic assembly cells, and industrial arms—it ensures full traceability, live data monitoring, and secure data transport. We prioritize streamlining factory operations, boosting production quality, and preventing supply chain disruptions, all while offering an effortless onboarding experience for engineers and manufacturers.", "one_liner": "Datadog for industrial robots", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1724817075, "tags": [ "Hardware", "Robotic Process Automation", "SaaS", "Robotics", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "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/autumn-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/autumn-labs.json", "year_founded": 2023, "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/5df469af020f91ac0b4d19796abb3d31c3518288.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 991674, "full_name": "Prathik Muppidi", "title": "Founder/CEO", "founder_bio": "University of Waterloo Mechatronics Engineering, ex-Google Engineer", "is_active": true, "linkedin_url": "https://linkedin.com/in/prathikmuppidi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ae728870bbb8d337d10dc9aecf09f3058982fe3b.jpg" }, { "user_id": 1250574, "full_name": "Harsh Bhatt", "title": "Founder/CTO", "founder_bio": "Ex. Apple | Mechatronics Engineering @ University of Waterloo", "is_active": true, "linkedin_url": "https://linkedin.com/in/harshmbhatt", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f9cfe0f35ded2657954fedd4b377c34d61c80e6c.jpg" }, { "user_id": 309960, "full_name": "Sam Monga", "title": "Founder/CTO", "founder_bio": "Hardware software engineer", "is_active": true, "linkedin_url": "https://linkedin.com/in/sammonga", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ba15caa4ff5b343488e5acfc1fd1063b92da206c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83709, "title": "Autumn Labs - Monitoring platform for industrial robots and manufacturing", "tagline": "Detect machine downtime, process quality, and factory issues — in real time. ", "body": "**tl;dr:** [Autumn Labs](https://www.autumnlabs.io/) delivers a unified platform to monitor and manage modern factories. Our SDK seamlessly integrates with manufacturing systems (test stations, assembly robots, industrial arms, and manual stations) to provide real-time monitoring, control, and production data management. The result? Lower operation costs, higher product quality, and a smoother production line.\n\n🍁 = 🤖 + 🏭 + 📊\n\n### **Problem - Advanced Machines, Outdated Infrastructure**\n\nThe adoption of robots in manufacturing is exploding, especially to keep up with producing increasingly more complex products and shortages in skilled labor. However, the infrastructure in which these robots would be deployed is still years behind.\n\nWithout effective systems, manufacturing physical products might seem like an insurmountable black box, especially when they are made in factories on another continent where critical information is only reported via spreadsheets every other week.\n\nThe past: [_src_](https://www.youtube.com/watch?app=desktop&v=xqPfY8S5HJ4)\n\n![uploaded image](/media/?type=post&id=83709&key=user_uploads/991674/84c0d0be-c84c-4872-84f8-20aa591d28a6)\n\nToday: [_src_](https://www.youtube.com/watch?app=desktop&v=luFGI13Mv8o)\n\n![uploaded image](/media/?type=post&id=83709&key=user_uploads/991674/2da6a941-47af-48e3-aaf4-4ddee5351437)\n\nBut the manufacturing data is always lagging and still looks like this:\n\n![uploaded image](/media/?type=post&id=83709&key=user_uploads/991674/5472966f-362b-483b-9117-37b4730a3676)\n\n### **Solution - Seamless Integration, Real-time insights**\n\nAutumn Labs provides an SDK that’s easy to integrate into any robotic architecture, enabling seamless monitoring and management of machines and, ultimately, the factory in which they reside. This way, robotic integrators and developers have a standard platform where they pull and push critical data that’s specific to their machine’s tasks. Both factory operations and engineering teams are able to get actionable data they need to improve production utilizations and process quality.\n\n_A Unified Platform for Hybrid Factories:_\n\nOur platform is built for hybrid factory lines, too, allowing for seamless integration of manual human assembly stations. Factory personnel can now get a holistic view of your factory's performance—robotic or not.\n\n![uploaded image](/media/?type=post&id=83709&key=user_uploads/991674/8d55d085-5141-4c8e-a11f-d4751a050099)\n\nWith Autumn Labs, you can track, triage, and push fixes for:\n\n1. Robotic assembly stations/cells\n2. Automated test stations\n3. Palletizing robots\n4. Manual assembly stations\n\n### **Traction - Real Results, Real Impact:**\n\nAutumn Labs is already monitoring and managing 50+ automated factory stations in 4 different consumer electronics factory lines across multiple companies and contract manufacturers. There’s a good chance that a product you use today has gone through our platform.\n\nWhy our customers love us:\n\n1. Clear insights into Manufacturing Value Added (MVA) costs\n2. Increased machine utilization\n3. Rapid improvements in production quality\n4. Enhanced product development cycles\n\n### **Meet the Founders**\n\nWe’re [Sam](https://www.linkedin.com/in/sammonga/), [Harsh](https://www.linkedin.com/in/harshmbhatt/), and [Pra](https://www.linkedin.com/in/prathikmuppidi/)[thik](https://www.linkedin.com/in/harshmbhatt/) — Mechatronics engineers from the University of Waterloo with decades of combined experience at Apple (iPhone), Google (Nest), and Meta (Oculus). After countless sleepless nights fixing robotic assembly lines and test stations, we decided it was time to create the ultimate tool for manufacturing. We’re building the solution we wish we had back then.\n\n![uploaded image](/media/?type=post&id=83709&key=user_uploads/991674/4ecd6fa2-6352-46ae-a602-f69219f0fe93)\n\n### **Our Ask - Let's Transform Manufacturing Together**\n\nKnow someone struggling to get real-time data from robots, test stations, or factories? Let’s talk. Reach us at [founders@autumnlabs.io](mailto:founders@autumnlabs.io)", "url": "https://www.ycombinator.com/launches/Lm9-autumn-labs-monitoring-platform-for-industrial-robots-and-manufacturing", "votes": 35, "created_at": "2024-09-03T16:30:31.314Z" } ] }, { "id": 29761, "name": "Distro", "slug": "distro", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/499bf69da05f9cd925def17274cd2ef5f91c8a22.png", "website": "https://distro.app", "all_locations": "San Francisco, CA, USA", "long_description": "Distro is the all-in-one AI-powered sales platform for counter staff and inside sales at industrial wholesale distributors (HVAC/R, plumbing, electrical, and more).", "one_liner": "The AI co-pilot for sales reps at industrial wholesale distributors.", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1715554333, "tags": [ "SaaS", "B2B", "Manufacturing", "Supply Chain", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/distro", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/distro.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/distro-ai-app", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/499bf69da05f9cd925def17274cd2ef5f91c8a22.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": 742025, "full_name": "Jason Sullivan", "title": "Founder/CEO", "founder_bio": "Jason is the founder and CEO of Distro, the all-in-one AI co-pilot for counter staff and inside sales at industrial wholesale distributors. He is a repeat founder, having previously co-founded Vested. Before Vested, he was CTO at Elementus, Tech Lead at Coatue, and Senior Software Engineer at PeerIQ. In a prior life, Jason was a credit derivatives trader.\n\nJason holds an MS in Computer Science from Stanford and a BA in Cognitive Science from Yale.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jasoncsullivan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/35952c32a6a1d405afe2380cfdf7314cc969603d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 80953, "title": "🏭🤖 Distro - Bringing point-of-sale AI to industrial distribution", "tagline": "The AI co-pilot for sales reps at industrial wholesale distributors.", "body": "[Distro](https://distro.app/) is the AI sales co-pilot designed for industrial wholesale distributors. We created Distro out of a passion for developing software for the “real economy,” and in particular for the trades. The Distro team is based in, and loves, NYC! 🗽\n\n### 😅 **The Problem**\n\nDistributors, particularly those mid-size and smaller, face a long list of point-of-sale challenges these days.\n\n_🧠 Brain drain_: the most experienced reps are at or near retirement and are taking a great deal of tribal knowledge with them.\n\n_🔧 Complex sales_: quoting entire systems, load calculations, replacing legacy parts and equipment.\n\n_📦 Inventory challenges_: growing SKU counts, supply chain disruptions, decreased inventorying by contractors.\n\n_🎓 Training and retention_: counter reps, in particular, are difficult to hire, train and retain.\n\nThese issues are amplified by the increasing importance of counter and inside sales relative to the rest of the sales organization–there has been a whopping 13 percentage point shift\\* towards counter staff and inside sales influencing purchasing decisions, moving away from territory managers/outside sales.\n\nTo top it all off, there is the ever-present and growing threat of larger players that have the resources to throw money and bodies at the aforementioned problems.\n\n_\\*_ 2023-2024 State of the Channel, HARDI (Heating, Air-conditioning & Refrigeration Distributors International)\n\n### 🔍 **Our Approach**\n\nWhat began as an academic curiosity about how to apply AI to distribution evolved into our team spending countless hours with distributor reps across the country over the course of a year, going deep on their day-to-day challenges, and building a distributor-centric solution from the ground up in partnership with several leading distributors. \n\nThis experience–fully immersing ourselves in a distribution vertical in order to go far beyond a superficial understanding of that vertical’s product universe and sales workflows–has shaped our product philosophy and overall approach. Some of our learnings:\n\n📍 _Meet reps where they are_: don’t try to push reps to adapt to a totally new paradigm. Adapt our workflows to how things really work at the counter.\n\n🚀 _Effortless onboarding_: distributor IT teams don’t need another tech project to distract them. Build solutions that avoid the need for long implementations.\n\n🔒 _Data sanctity_: distributors can spend a lot of time, energy, and money curating their data. Complete data security and privacy are necessary to protect that advantage.\n\n🛠️ _Enhance, don’t replace_: the human element is the key to a distributor’s value-add to its contractor customers. We’re building Iron Man’s suit, not the Terminator.\n\n### 💡 **Our Solution**\n\nOur platform helps counter and inside sales reps work more efficiently by transforming complex customer requests into real-time product information and quotes. With Distro, reps can quote faster, boost conversion rates, and increase customer retention. We support distributors in sectors like HVAC/R, plumbing, electrical, and more.\n\n![uploaded image](/media/?type=post&id=80953&key=user_uploads/742025/a65bf5e8-d75d-422d-961c-0e3f049162f4)\n\n![uploaded image](/media/?type=post&id=80953&key=user_uploads/742025/7ff364d0-e77c-4dc4-82d2-16db7e4cd9cf)\n\n![uploaded image](/media/?type=post&id=80953&key=user_uploads/742025/e80a0ede-809d-4ac0-b6c3-72b64f1c0e3e)\n\n![uploaded image](/media/?type=post&id=80953&key=user_uploads/742025/170c793c-6a8a-466a-8ea5-bb3623e8a427)\n\n### 🙏 **Asks**\n\n🤝 Connect with us: If you are a founder in the distribution, manufacturing, or contractor spaces, we’d love to share learnings.\n\n📣 Customer intros: distributors, contractors, and OEMs, particularly in HVAC/R, plumbing, and electrical.", "url": "https://www.ycombinator.com/launches/L3h-distro-bringing-point-of-sale-ai-to-industrial-distribution", "votes": 26, "created_at": "2024-05-20T15:06:08.115Z" } ] }, { "id": 29773, "name": "Soff", "slug": "soff", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6da2b305915dd2f4090a9cd55210079b59c3095d.png", "website": "https://soff.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Distributors & Manufacturers use Soff to grow revenue through Soff's sales agents that process quotes, orders and handles all communication with customers, co-workers & suppliers.", "one_liner": "AI Agents for Distributors", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1721748598, "tags": [ "B2B", "Sales", "Manufacturing", "Supply Chain", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/soff", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/soff.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/soff-ai", "x_url": "https://www.x.com/soff_hq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6da2b305915dd2f4090a9cd55210079b59c3095d.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": 1972623, "full_name": "Berni Hausleitner", "title": "Founder/CTO", "founder_bio": "Co-founder and CEO at Soff. Building AI agents for supply chain teams at enterprise-scale industrials. Previously a Full-Stack Engineer on Tesla’s Autopilot team, developing AI tooling. Published AI Research at Stanford, holding M.Sc. in Robotics and Electrical Engineering from TUM. Licensed German car mechanic.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hausleitnerb/", "x_url": "https://x.com/itsnotbernhard", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fba17f57be97623da2f7009f7827c7b18cece629.jpg" } ], "jobs": [ { "id": 109816, "title": "Business Development Representative (Founding GTM)", "url": "https://www.ycombinator.com/companies/soff/jobs/lBGDYxA-business-development-representative-founding-gtm", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $180K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 114414, "title": "Founding GTM ", "url": "https://www.ycombinator.com/companies/soff/jobs/dqNez2P-founding-gtm", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80K - $180K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 114415, "title": "Sales Development Representative (Founding SDR)", "url": "https://www.ycombinator.com/companies/soff/jobs/ooqsshp-sales-development-representative-founding-sdr", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80K - $180K", "equity_range": "0.20% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 114416, "title": "Founding Ops", "url": "https://www.ycombinator.com/companies/soff/jobs/j50ICZH-founding-ops", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80K - $180K", "equity_range": "0.20% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Supply Chain Operating System Startup for Manufacturers Joins CMTA | California Manufacturers & Technology Association", "url": "https://cmta.net/news/soff-joins-cmta/", "date": "Sep 24, 2024" } ], "launches": [ { "id": 90126, "title": "Soff: The AI-powered Supply Chain Hub", "tagline": "Automating procurement to save manufacturers time and money.", "body": "# It Is 2025\n\nTariffs are spiking. Contracts are collapsing. And manufacturers? They're fighting to keep the lights on while costs explode.\n\n📉 Fortune 500s have already lost **over $5 billion** to supply chain failures this year.\\\n📈 Tariffs are **hitting 145%**. Imports could plummet 20%.\n\n_So who’s left holding the bag?_\n\n**Procurement**. They need to keep raw materials flowing—fast!\n\nBut instead of focusing on supplier relationships or unlocking opportunities, procurement teams are stuck chasing emails, digging through spreadsheets, and losing time—and money—by the hour.\n\n# Enter Soff\n\n![uploaded image](/media/?type=post&id=90126&key=user_uploads/1972623/f4436cc5-bc8e-4b95-8d0a-1ccdfa93e46f)\n\nSoff connects directly to your purchasing inbox, streamlining how manufacturers request, track, and approve supplier quotes—all in one place.\n\n1. No more chaos. Just **faster, smarter** procurement.\n2. **60% faster** procurement cycles.\n3. Teams freed up to do what matters: manage supplier relationships and **keep production running**.\n\n![uploaded image](/media/?type=post&id=90126&key=user_uploads/1972623/25354546-6587-414f-a341-6414a4567cc1)\n\n# The bottom line\n\nYou can’t control global tariffs. But you **can** control how fast you respond. The manufacturers who win in 2025 will be the ones who move **quicker than the chaos**.\n\n👉 Visit [soff.ai](http://soff.ai) to see how.\\\n🎯 Know a manufacturer? We’re offering **free consultations** to navigate today’s tariff mess.\\\n⬇️ Hear what customers say about Soff.\n\n", "url": "https://www.ycombinator.com/launches/NRe-soff-the-ai-powered-supply-chain-hub", "votes": 13, "created_at": "2025-05-06T13:34:15.864Z" }, { "id": 83460, "title": "🚛 Soff: Supply Chain Operating System for Manufacturing Companies", "tagline": "Unify supply chain data and automate core workflows.", "body": "**⛓️ TL;DR**\n\n[Soff](https://soff.ai) is a supply chain operating system for manufacturing companies. We automate data entry, requesting quotes, comparing quotes, and issuing purchase orders. Our customers save dozens of hours a week spent on repetitive manual tasks.\n\n👬 **Team**\n\nWe met five years ago while studying at the CDTM in Munich. Most recently, [Berni](https://www.linkedin.com/in/hausleitnerb/) worked as a full-stack engineer at Tesla on the Autopilot team, whilst [Raban](https://linkedin.com/in/raban) finished his engineering master’s at Stanford. At Tesla, Berni built tons of internal tooling and saw the supply chain inefficiencies firsthand. During the batch, Raban worked as a purchasing manager for one of our customers.\n\n🌋 **Problem**\n\nSupply chain data is spread across multiple platforms, such as ERPs, custom spreadsheets, and email inboxes, leading to inefficiencies and a lack of visibility. Supply Chain Managers spend hours each week searching through emails and spreadsheets to track the status of parts procurement, from request to quote to award. This process is not only time-consuming but also prone to errors and delays. For example, changes in production schedules require Supply Chain Managers to follow up with all suppliers individually to adjust their purchase orders. Quotes that aren’t used are lost in the abyss of email inboxes. Suppliers are reluctant to upload quotes to yet another portal and often fail to notify about delays, leading to costly production standstills.\n\n🚛 **Solution**\n\n![uploaded image](/media/?type=post&id=83460&key=user_uploads/1755188/cacbe907-12f5-429f-9391-9ba957afa746)\n\nSoff connects suppliers, parts, and quotes into a single platform.\n\nWe integrate with ERPs and email to automate supplier communication, send RFQs, and issue purchase orders. We turn unstructured email and PDFs into SQL-ready data, injecting quotes directly into the ERP system. We eliminate the need for manual data entry and dedicated supplier portals, thus increasing supplier response rates.\n\nOur platform stores quote data, ensuring no loss of information when switching suppliers or moving from single-source to dual-source. It also tracks parts from the initial request through to the final receipt, providing a complete overview for supplier management.\n\nSoff enables manufacturers to deliver higher-quality products faster. Companies like SpaceX (Warpdrive), Rivian (Basecamp), and Apple (Incline) spend millions on building their in-house supply chain tools—we bring that level of efficiency to any manufacturer.\n\n**❤️ How you can help**\n\nIf you work in Supply Chain or work(ed) at a manufacturing company we’d love to connect. Send us a message at [founders@soff.ai](mailto:founders@soff.ai). 📨\n\n![uploaded image](/media/?type=post&id=83460&key=user_uploads/1755188/a277625d-201c-471a-a6d4-5a9fa4c0a104)\n\n", "url": "https://www.ycombinator.com/launches/Li8-soff-supply-chain-operating-system-for-manufacturing-companies", "votes": 84, "created_at": "2024-08-27T14:42:52.309Z" } ] }, { "id": 29814, "name": "Vendra", "slug": "vendra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/929ad75b7088b9721f87d1e0e30daae50d49198f.png", "website": "https://vendra.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Vendra makes it faster and easier to get custom parts manufactured in America. \r\n\r\nSubmit one RFQ and Vendra turns your technical requirements into custom manufactured parts - routing work through qualified US suppliers, gathering competitive quotes, and managing production through delivery.\r\n\r\nWe're ITAR registered and manufacture parts for American aerospace and defense leaders. Customers include Anduril, Mach Industries, Relativity Space, Castelion, and Planet Labs.\r\n\r\nSubmit an RFQ at www.vendra.io to get started today!", "one_liner": "Custom Parts, Manufactured in America 🇺🇸", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1724084407, "tags": [ "Hardware", "Manufacturing", "Supply Chain", "Aerospace", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vendra", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/vendra.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vendra-hq/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/vendra", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/929ad75b7088b9721f87d1e0e30daae50d49198f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4494b730c0e5479cf91e29459b50918793f50ddd.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 914508, "full_name": "Shan Mohta", "title": "Founder/CEO", "founder_bio": "CEO of Vendra. I'll help you get parts manufactured in America. I also built cool hardware at Skydio, Apple, & Microsoft.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shanmohta/", "x_url": "https://x.com/shanmohta", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ada4961bf89e49443bf458e132e7d04191be2aa5.jpg" }, { "user_id": 2050663, "full_name": "Anish Bhardwaj", "title": "Founder/CTO", "founder_bio": "CTO of Vendra. I build software.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anish-b-00109695/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/939f8fa06c02f01535001b4aa0cb45b2d26837b3.jpg" } ], "jobs": [ { "id": 96225, "title": "Mechanical Engineer", "url": "https://www.ycombinator.com/companies/vendra/jobs/wdHYZmT-mechanical-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$100K - $120K", "equity_range": "0.05% - 0.20%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 110597, "title": "Supply Chain Manager", "url": "https://www.ycombinator.com/companies/vendra/jobs/TNILqFi-supply-chain-manager", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$80K - $140K", "equity_range": "0.05% - 0.15%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 111490, "title": "Cloud Infrastructure & Security Engineer", "url": "https://www.ycombinator.com/companies/vendra/jobs/3z2bFVm-cloud-infrastructure-security-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $150K", "equity_range": "0.05% - 0.20%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 111491, "title": "Full Stack Engineer ", "url": "https://www.ycombinator.com/companies/vendra/jobs/pi7IbS4-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $140K", "equity_range": "0.05% - 0.25%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 88957, "title": "Vendra - Custom Parts, Manufactured in America 🇺🇸", "tagline": "Vendra brings you fast quotes, rapid production, and direct access to US manufacturers ready to build your parts.", "body": "Hi YC, we’re [Anish](https://www.linkedin.com/in/anish-bhardwaj-00109695/) and [Shan](https://www.linkedin.com/in/shanmohta/) from Vendra!\n\n### **TL;DR**\n\n**Vendra is the best way to manufacture custom parts in the US, beating legacy platforms like Xometry and Protolabs at their own game.**\n\n[**Submit an RFQ today**](https://vendra-marketplace.io/) **to get fast quotes, short lead times, and experience the difference yourself. 🚀**\n\n\n\n# **THE PROBLEM**\n\nManufacturing is coming back to America, but getting your parts made is still a frustrating process. Existing platforms (like Xometry and Protolabs) hide suppliers from you, mark up your parts, and give you minimal control and flexibility.\n\nAlternately, you do a bunch of manual outreach to find suppliers, check if they have production capacity, see if they have the right equipment, can provide a quote quickly, can meet your tolerances and finish, follow-up a bunch of times, etc… Whichever option you use today - it sucks.\n\n# **THE SOLUTION**\n\nJust submit ONE RFQ on Vendra - **_that’s literally it._**\n\nWe match your parts to US manufacturers who meet your exact specs and automate all the manual sourcing steps. You receive multiple competitive quotes and lead times, collaborate directly with suppliers on design and manufacturing details, and choose exactly who builds your parts.\n\n![uploaded image](/media/?type=post&id=88957&key=user_uploads/914508/a65ec6d6-69cd-4490-a8f9-8089c0a00ef4)\n\nWe’re the **_only platform_** optimized for real-time production capacity. Need parts machined on a 5-axis CNC or printed on a large-format SLS printer? We’ll connect you exclusively with suppliers who have that exact equipment available immediately - **_so you get fast quotes and even faster production._**\n\nWe’re already trusted by Apple, Skydio, and leading aerospace and hard-tech startups. **_Our automation and capacity optimization have saved them up to 40% on part cost and cut lead times in half_** compared to legacy platforms.\n\n# **THE ASK**\n\n* Need parts made? [Submit an RFQ!](https://vendra-marketplace.io/)\n* Know someone who needs parts made? Send them this post or tell them to [submit an RFQ!](https://vendra-marketplace.io/)\n* Follow us on [LinkedIn](https://www.linkedin.com/company/vendra-hq/) and [X!](https://x.com/vendraHQ) Oh, and [SUBMIT AN RFQ!](https://vendra-marketplace.io/)\n\n![uploaded image](/media/?type=post&id=88957&key=user_uploads/914508/6c2e372e-651b-40e6-930d-96193dfb5e26)\n\n", "url": "https://www.ycombinator.com/launches/N8n-vendra-custom-parts-manufactured-in-america", "votes": 284, "created_at": "2025-03-25T16:40:06.168Z" }, { "id": 83256, "title": "Vendra - AI vendor and project management for hardware teams", "tagline": "We use AI to help hardware teams manage projects, files, and more with their vendors and suppliers - all with no change to their existing workflows", "body": "### TL;DR\n\n* Hardware engineers **_should_** spend their time building cool products, but they **_actually_** spend their time dealing with vendors and doing non-engineering work (digging through emails, searching for files, updating spreadsheets, etc.)\n* Traditional project management solutions don’t really work in hardware, and vendor communications inevitably revert to emails/text messages/WeChat/etc.\n* Vendra uses AI to understand these vendor communications, giving hardware teams modern project management and instant information lookup with almost no change to their existing workflow\n* We offer solutions to hardware teams at all stages - [book a demo today!](https://calendly.com/vendra-shan/30-minute-vendra-chat)\n\n### The Team\n\nWe’re [Shan](https://www.linkedin.com/in/shanmohta/) and [Anish](https://www.linkedin.com/in/anish-b-00109695/)! We’ve known each other since childhood when our parents moved from India to the same apartment complex in Santa Clara. Between us, we’ve built a lot of cool hardware (cameras for autonomous drones, AR/MR headsets) and cool software (ML for satellites, AI for the shipping industry).\n\n![uploaded image](/media/?type=post&id=83256&key=user_uploads/914508/f65f0c3b-ceef-4c41-b76f-0ded74c39615)\n\n### The Problem\n\nAs a former hardware engineer, Shan experienced the challenges of managing complex projects across a network of vendors, suppliers, and manufacturers. He saw hardware teams struggle to use traditional project management solutions with vendors because of the unstructured nature of projects and communications, security and access issues, and difficulties in the adoption of new processes. The workflow inevitably defaulted to emails, text messages, WeChat, etc., often leading to misplacement of crucial information.\n\nA 2021 report revealed that 70% of engineers still use email for external collaboration, struggling to track critical information across teams. 94% of engineers want faster access to data, and 29% often work with outdated information, leading to costly delays, reworks, and longer time to market.\n\nWe’re building Vendra to change that.\n\n### The Solution\n\n**Vendra uses AI to bring a smart project management suite and file repository to hardware teams working with vendors and suppliers - all with no change to existing workflows.**\n\nSimply connect Vendra to your email/WeChat/WhatsApp/Slack (or cc it to your conversations and threads):\n\n![uploaded image](/media/?type=post&id=83256&key=user_uploads/914508/0497419e-34ee-4f22-8f08-e15331533c4c)\n\nVendra automatically contextualizes your emails/messages/files and generates key takeaways like project and conversation summaries, open items, blockers, tasks, etc. It also creates a smart file directory so you never have to go digging through emails or attachments ever again.\n\nEasily access all this information from anywhere through our SlackBot, GPT-like chat interface, or web-based dashboard:\n\n![uploaded image](/media/?type=post&id=83256&key=user_uploads/914508/ad310c5b-4582-4e07-9e43-1bbaf6691b37)\n\nYou can ask Vendra AI things like\n\n* ‘Show me all the quotes and lead times we got from vendors for the upper bracket machining in the past month’\n* ‘What are all the open items for the enclosure injection molding tooling?’\n* ‘Pull up the RF module datasheet the supplier sent me last week’\n* And so much more!\n\nFor teams looking for 2-way external collaboration, we also offer VendraPM - a secure end-to-end platform to onboard your vendors and work together across projects and tasks. Features like secure file sharing, document revision control, and AI-enabled language translation make external work easier than ever:\n\n![uploaded image](/media/?type=post&id=83256&key=user_uploads/914508/850d8b2a-133f-492b-a346-3f441932ab20)\n\n### The Ask\n\n* If you work in hardware, [book a demo today!](https://calendly.com/vendra-shan/30-minute-vendra-chat)\n* We also love warm intros to folks in hardware - if you know anyone working in (or around) hardware, we’d love to chat with them to understand their workflow and see how we can help!\n* Follow us on [LinkedIn](https://www.linkedin.com/company/vendra-hq/) and [X!](https://x.com/vendraHQ)", "url": "https://www.ycombinator.com/launches/Leq-vendra-ai-vendor-and-project-management-for-hardware-teams", "votes": 1024, "created_at": "2024-08-23T15:30:21.401Z" } ] }, { "id": 29834, "name": "Rastro", "slug": "rastro", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/447ef3f5bdd55f339b07fe098ff620ccfd86af36.png", "website": "https://rastro.ai", "all_locations": "London, England, United Kingdom", "long_description": "We help distributors and manufacturers turn catalog chaos into launch-ready products. Share vendor data, pull online specs and pricing, fuzzy match to your database, generate images, and output products in your exact schema.", "one_liner": "The fastest way to launch product catalogs.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Retail", "launched_at": 1721284235, "tags": [ "Manufacturing", "Retail Tech", "Retail", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Retail" ], "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/rastro", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/rastro.json", "year_founded": 2024, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/101692605", "x_url": "https://x.com/rastroai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/447ef3f5bdd55f339b07fe098ff620ccfd86af36.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1651987, "full_name": "Baptiste Cumin", "title": "Founder/CEO", "founder_bio": "CEO @ Rastro: the fastest way for retailers to launch thousands of products. \n\nPreviously a lead on Shopify's catalog team for 6 years as a Staff AI Engineer.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/baptiste-cumin/", "x_url": "https://twitter.com/baptiste_cumin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/114a11c8d128ea9a2f6e1dc4a6e9fe53fedea814.jpg" }, { "user_id": 2075162, "full_name": "Augustin Baudoin", "title": "Founder", "founder_bio": "COO @ Rastro - Launch products faster\n\nPreviously Ops @ Uber and DS @ Criteo / French Gov.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/augustin-baudoin/", "x_url": "https://x.com/rastroaug", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f75526ea661ece9d358010784e2481ef3f91d06c.jpg" }, { "user_id": 1989386, "full_name": "Papa Sougou Wele", "title": "Founder", "founder_bio": "CTO @ Rastro: the fastest way for retailers to launch thousands of products.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/papiswele/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fef17c573dbadcd97b22f128ccbf7a33b9ca45f3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95204, "title": "Rastro AI: launch products faster", "tagline": "The fastest way for retailers and distributors to launch new product lines", "body": "I used to be an AI lead on Shopify’s catalog. We worked with everything from sex toys (real story) to lightbulbs, for 2bn products. Chaotic catalogs, and lots of war stories.\n\nSince then, we heard the same problem from large catalog merchants like Sunco. Vendors send them Excel sheets with 30% missing data, inconsistent product identifiers and blurry images.\n\nOur catalog agent lives for these headaches. Share any vendor data, pull competitor pricing and product specs, generate images, standardize attributes and output products at scale.\n\n![uploaded image](/media/?type=post&id=95204&key=user_uploads/1651987/c9dffef9-b2c2-4762-a90f-fdce9c5a2b63)\n\nThe result? A customer told us “[Rastro.AI](http://Rastro.AI) gave us a new scale”. We get thousands of products out of their backlog, and quality listings online.\n\n**Ask**: do you know any retailers or distributors with 5k+ products? We’ll help them launch their next product line in the first month, or offer a refund. \n\n![uploaded image](/media/?type=post&id=95204&key=user_uploads/1651987/f45b9b48-912f-44a4-bb47-f80019f8a058)\n\n", "url": "https://www.ycombinator.com/launches/OlY-rastro-ai-launch-products-faster", "votes": 11, "created_at": "2025-11-05T23:15:43.974Z" }, { "id": 83240, "title": "Rastro: Your personal interior designer", "tagline": "Find beautiful objects for your home, at no extra cost.", "body": "# Should it cost you 50k to decorate your home?\n\nDecorating your home? You have 2 choices: hire an interior designer for $50k, or spend 50 hours doing it yourself. A beautiful home, time, money: pick two.\n\nRastro is your hassle-free personal shopper and interior designer:\n\n1. We craft your taste profile in a 15-minute call.\n2. We find you matching decor from 46 sources.\n3. We buy what you love, delivered to your door.\n\nAre you decorating your space? \\\n[**Book your 15-minute onboarding call here.**](https://forms.fillout.com/t/eJHrqtsGiKus)\n\n![uploaded image](/media/?type=post&id=83240&key=user_uploads/2075162/4c6ff5d7-be50-45e6-9245-51b6f184a78c)\n\n# 💡 How we got here\n\nIn our first week at YC, we built a tool to help interior designers source furniture for less. Early on, a designer told us, “Getting an $8k chair for $4k isn’t material, we do $75k jobs.” Not sure their customer would agree, but it does explain their fee.\n\nMost of us know our taste, but scrolling dozens of websites is a waste of time. Niche sourcing channels are jealously guarded by professional dealers, and the best inventory is difficult to find.\n\n# ✅ Rastro’s Solution\n\nRastro is your personal interior designer, with no up-front costs.\n\n1. In an onboarding call, we craft a taste profile for you. Show us your space and tell us what you’re looking for. Share specific pieces you love, styles that inspire you, and how your home is laid out.\n2. Our sourcing agents automatically scour through 46 different sites to find decor matching your tastes. We look through auctions and listing sites as well as classic sources like 1stDibs or West Elm. You receive our top picks and share your feedback directly on Rastro.\n3. We deliver everything you purchase to your door, leveraging retailer partnerships and referrals to ensure a same-price guarantee.\n\nLet us help you decorate your home: book your onboarding call today at [**rastro.sh**](https://rastro.sh)\n\n![uploaded image](/media/?type=post&id=83240&key=user_uploads/89898/037237d1-8a7b-4779-9d3c-2e8b27a42f9c)\n\n", "url": "https://www.ycombinator.com/launches/Lea-rastro-your-personal-interior-designer", "votes": 27, "created_at": "2024-08-20T19:29:33.359Z" } ] }, { "id": 29847, "name": "Bucket Robotics", "slug": "bucket-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/55cc697d9f14eca5a5d45772ac14d97a83df16ae.png", "website": "https://bucket.bot", "all_locations": "San Francisco, CA, USA", "long_description": "Bucket Robotics builds deployable computer vision systems for manufacturing — without labeling, long pilots, or fragile rules.\r\nWe turn CAD and sample data into production-ready vision models that run on existing cameras and edge hardware. No manual labeling. No cold-start problem. Models deploy in minutes and adapt as parts, defects, and lines change.\r\n\r\nOur roots are in self-driving cars (Argo AI, Uber ATG, Stack AV), where we learned how to ship perception systems that operators trust in messy, real-world environments. We’re applying that playbook to factories: robust sensing, fast iteration, and tooling engineers actually enjoy using.\r\n\r\nManufacturers struggle with inspection because parts are too variable for rules-based vision and too expensive to inspect by hand. Legacy systems are rigid, hardware-locked, and slow to customize. We take the opposite approach: software-first vision that fits into existing automation and scales across SKUs, facilities, and workflows.\r\n\r\nAmerican Manufacturing is in the middle of a $700B automation push — but quality is still a trust problem. Bucket Robotics is building the vision infrastructure that lets factories automate inspection with confidence.", "one_liner": "Defect detection for manufacturing built from CAD and synthetic data.", "team_size": 8, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1719001491, "tags": [ "Robotic Process Automation", "Robotics", "Computer Vision", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "If we succeed, quality inspection stops being a human bottleneck. Manufacturing quality becomes software—deployed from CAD, scaled instantly across factories, and verified automatically. The world builds complex physical products faster, with less waste, and with machine-verifiable trust." } ], "url": "https://www.ycombinator.com/companies/bucket-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/bucket-robotics.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bucketrobotics/", "x_url": "https://x.com/BucketRobotics", "fb_url": "https://www.facebook.com/profile.php?id=61578008815737", "cb_url": null, "github_url": "https://github.com/bucket-robotics", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/55cc697d9f14eca5a5d45772ac14d97a83df16ae.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/72627bb1c990f52131cd9089f7589fc3dc47457f.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1918803, "full_name": "Matt Puchalski", "title": "Founder/CEO", "founder_bio": "Matt is the co-founder and CEO of Bucket Robotics, building CAD-driven computer vision for manufacturing inspection and assembly verification. Previously, he worked on autonomous vehicle integration and deployment at Argo AI, Latitude AI, and Stack AV, helping bring self-driving vehicles onto public roads in the United States and Germany.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matt-puchalski", "x_url": "https://x.com/lasermatts", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/96e15f894eb00281539dee8a84cf516b581aac67.jpg" } ], "jobs": [ { "id": 73634, "title": "ML Engineer", "url": "https://www.ycombinator.com/companies/bucket-robotics/jobs/wamcLUR-ml-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$120K - $165K", "equity_range": "0.70% - 2.80%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "ML", "Python", "Machine Learning", "CUDA" ] }, { "id": 95125, "title": "Senior Full Stack Engineer", "url": "https://www.ycombinator.com/companies/bucket-robotics/jobs/6pT0gS3-senior-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $220K", "equity_range": "1.00% - 3.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Data Modeling" ] }, { "id": 95797, "title": "Forward Deploy Engineer", "url": "https://www.ycombinator.com/companies/bucket-robotics/jobs/va6hXZz-forward-deploy-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$100K - $120K", "equity_range": "0.25% - 1.20%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python" ] } ], "news": [ { "title": "Synthetic Data Comes of Age: How Bucket Robotics is Changing the Economics of Machine Vision - MVPro Media", "url": "https://mvpromedia.com/synthetic-data-comes-of-age-how-bucket-robotics-is-changing-the-economics-of-machine-vision/", "date": "Jul 21, 2026" }, { "title": "How YC-backed Bucket Robotics survived its first CES | TechCrunch", "url": "https://techcrunch.com/2026/01/18/how-yc-backed-bucket-robotics-survived-its-first-ces/", "date": "Jan 18, 2026" } ], "launches": [ { "id": 82809, "title": "Bucket Robotics 🤖 Vision for Manufacturing", "tagline": "Go from CAD model to defect detection system in the blink of an eye.", "body": "# ☕ **_TL;DR_**\n\n[_Bucket Robotics_](https://bucket.bot) makes defect detection models way faster and easier to deploy. CAD goes in — detection model comes out.\n\n![uploaded image](/media/?type=post&id=82809&key=user_uploads/1918803/d49ec265-a7cd-4a9c-ad32-62b45df8c825)\n\n# **👥** **The Team**\n\n### Hi everyone, we’re [Matt](https://www.linkedin.com/in/matt-puchalski/) and [Steph](https://www.linkedin.com/in/stephan-wolski/), and we’re Bucket Robotics!\n\n![uploaded image](/media/?type=post&id=82809&key=user_uploads/1918803/a2825a9a-9dd1-4c95-8aa4-46ba2826efae)\n\n# **📉 The Problem**\n\nDefects are a universal challenge in manufacturing, particularly with methods like injection molding, die casting, and 3D printing. Factories using these methods frequently retool their lines for different products making it difficult and costly to gather enough data to train defect detection models.\n\nManufacturers strive to ensure that only the highest quality products reach their customers. Avoiding the shipment of defective products not only protects their reputation but also safeguards expensive machinery from damage, maximizes yield by leveraging advanced analytics, and prevents the progression of faulty parts through the production line, which can lead to compounded waste and increased costs.\n\nA 2017 study estimates that [yield losses account for 44% of sheet metal used](https://www.sciencedirect.com/science/article/abs/pii/S092401361730211X) in the production of passenger vehicles — and we want to bring that number down, saving money and the environment.\n\nTraditionally, defect detection comes in two flavors:\n\n1. Pay a person to watch your line.\n2. Train a vision model the old-fashioned way — wait for defective parts to come out and add your sample to the dataset.\n\nPaying people to check parts is inefficient and a miserable job. Collecting enough labeled data samples to train a model is impractical for rapidly retooled outputs, and the labeling is expensive. This often leaves manufacturers with a critical gap in quality assurance, leading to increased scrap, downtime, and potentially unhappy customers with defective parts.\n\n## **📈 The Solution**\n\nWe help eliminate the need for inefficient human monitoring and outdated defect detection by providing a system where we generate defect detection models using CAD files—something every part designed for modern manufacturing has. Our models can run on an edge computing device as small as a Jetson Orin Nano and be continually refined with real-world data.\n\n### **_Here’s why this is a game-changer:_**\n\n* **Early Deployment:** Your defect detector can arrive at your manufacturing line before you’ve manufactured any parts. This means you can catch defects right from the get-go.\n* **Continuous Improvement:** As defects start to appear, we can automatically refine and improve the model, ensuring your system remains top-notch.\n* **Classification**: The system tells you how the part is defective, allowing you to dial in your tooling configuration and maintenance cycle—e.g. when it's time to create a new mold.\n\nCheck out a video on our process here: [Bucket Robotics | Defect Detection](https://youtu.be/U_bJxaH_U9U)\n\n# **🙏How You Can Help**\n\nWe are seeking connections and collaborations to drive our mission forward. If you or anyone in your network is interested in learning more or helping out, we want to hear from you! We’re specifically looking to connect with:\n\n* Quality Assurance and Factory Automation leaders\n* Companies and brands in high-volume and precision manufacturing\n* Experts in the manufacturing and defect detection industries\n\nIf that’s you or someone you know, [please get in touch!](https://bucket.bot)", "url": "https://www.ycombinator.com/launches/LXd-bucket-robotics-vision-for-manufacturing", "votes": 77, "created_at": "2024-08-07T05:00:27.470Z" } ] }, { "id": 29851, "name": "Diode Computers, Inc.", "slug": "diode-computers-inc", "former_names": [ "Schematx", "Diode, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1e7f9d9a50296d38458d5ad7a76c87823682bc2.png", "website": "https://diode.computer", "all_locations": "New York City, NY, USA", "long_description": "Diode automates circuit board design. We work with hardware companies to get them the PCBs they need, fast.", "one_liner": "Automate circuit board design using AI", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1722536101, "tags": [ "Hardware", "Manufacturing", "Electronics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 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/diode-computers-inc", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/diode-computers-inc.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/diode-inc/", "x_url": "http://x.com/diodeinc", "fb_url": null, "cb_url": null, "github_url": "https://github.com/diodeinc", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1e7f9d9a50296d38458d5ad7a76c87823682bc2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4a8771114ff9f0e674b1430ce569d90409522fc7.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1931106, "full_name": "Davide Asnaghi", "title": "Founder/CEO", "founder_bio": "I make circuit boards", "is_active": true, "linkedin_url": "https://linkedin.com/in/d-asnaghi", "x_url": "https://x.com/davideasnaghi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/187b99f2a5386d00d754fd577d594158498d727c.jpg" }, { "user_id": 79914, "full_name": "Lenny Khazan", "title": "Founder/CTO", "founder_bio": "Lenny is the Co-Founder and CTO @ Diode Computers, Inc.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lennykhazan", "x_url": "https://twitter.com/LennyKhazan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b5315443bdfa5eecabdbce72fff7f0ee8294cba7.jpg" } ], "jobs": [ { "id": 76882, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/diode-computers-inc/jobs/V8LqvBH-senior-software-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $240K", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Rust", "TypeScript" ] }, { "id": 84722, "title": "Staff Electrical Engineer", "url": "https://www.ycombinator.com/companies/diode-computers-inc/jobs/UAUsCJS-staff-electrical-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$140K - $200K", "equity_range": "0.10% - 0.30%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Python", "Rust", "Altium", "OrCAD" ] } ], "news": [ { "title": "Making Claude a better electrical engineer | Claude", "url": "https://claude.com/blog/making-claude-a-better-electrical-engineer", "date": "Dec 11, 2025" }, { "title": "How Diode Is 10x-ing Hardware Design", "url": "https://www.youtube.com/watch?v=ryHJuYzUejs", "date": "Jul 23, 2025" }, { "title": "AI-Powered Circuit Board Design Startup Diode Lands $11.4 Million Series a - Business Insider", "url": "https://www.businessinsider.com/ai-circuit-board-diode-a16z-series-a-y-combinator-2025-7", "date": "Jul 22, 2025" } ], "launches": [ { "id": 83244, "title": "Diode Computers, Inc. — Circuit boards as a service", "tagline": "Diode automates the circuit board design and ordering process for engineers.", "body": "Ciao Y Combinator! We’re [Davide](https://x.com/davideasnaghi) and [Lenny](https://www.linkedin.com/in/lennykhazan/) from [Diode Computers, Inc.](https://diode.computer/)\n\n**TL;DR: Diode is an end-to-end platform for circuit board design. With the help of AI, we can finish a months-long design project in days, and then ship working boards straight to your door.**\n\n**Try out our designer at **[**https://pcb.new/**](https://pcb.new/)**, or shop generated boards at **[**https://pcb.store/**](https://pcb.store/)**.**\n\n\n\n# Problem\n\nDesigning printed circuit boards (PCBs) is really hard. Existing tools provide little opportunity for design reuse, so most projects are started from scratch. Since there’s no good way to test your design, your best bet is to just order them and hope for the best.\n\nThought you were done? Nope — ordering PCBs is a pain too. Now you need to source the components, ship them across the globe to your manufacturer, and constantly be on the lookout for part shortages and replacements. It’s a full-time job.\n\n# Solution\n\nDiode solves this by owning the entire PCB design process end-to-end. It starts with a core of composable, reusable modules that users can stitch together to build their boards. When new use cases come up, our AI generator creates new modules in seconds instead of days. And with rigorously-tested modules instead of de novo designs, we can be confident that each board works first try.\n\n![uploaded image](/media/?type=post&id=83244&key=user_uploads/79914/00e25ff4-abe8-49d4-94c3-e74a925eb0a3)\n\nWe then take the user’s design and automatically translate it into manufacturing requirements to send to the factory. We stockpile all of the necessary components to remove the burden of supply chain management from users and amortize the cost of parts across all designs.\n\nThe result is an all-in-one platform for hardware design: describe what you need and get working boards delivered to your door.\n\n# Why\n\nIn a past life, we designed hardware at companies like Apple, and we encountered a problem: PCBs never worked on the first try. At best, they required micro-soldering surgery under a microscope and, at worst, a whole new board. These issues were driving us mad, so we started a company to fix it.\n\nWe want to make hardware design work more like software. Fast iteration cycles, reusable components with clean composition, and one-click ordering to build your products fast and cheap. Our vision is to turn PCB design into a software problem.\n\n**P.S.** Want a customized NFC business card with your logo? Get your own: \n\n![NFC Business Card (x10)](https://pcb.store/cdn/shop/files/back.png?v=1724092003&width=1445)\n\n", "url": "https://www.ycombinator.com/launches/Lee-diode-computers-inc-circuit-boards-as-a-service", "votes": 83, "created_at": "2024-08-20T20:15:39.588Z" } ] }, { "id": 29853, "name": "No Logo", "slug": "no-logo", "former_names": [ "Terra Labs", "Terra" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b5b06eac03359187ea4b158a471d8bc4ecb6c046.png", "website": "https://nologo.com/", "all_locations": "New York City, NY, USA", "long_description": "No Logo is building the orchestration layer for creating viral consumer products. The manufacturing world is full of capable, underutilized overseas factories with the machines, tooling, and engineers to build winning products – but no way to connect them to the creators and brands with the ideas and distribution. As a result, bringing a new product to market has traditionally taken 6-12 months, tens of thousands of dollars, and a team of 20-30 people.\r\n\r\nNo Logo collapses that. Using generative AI, we take a creator's product idea, visualize it, break it into core components and manufacturing processes, and match each step to the right factory in our network – turning an idea into a shippable product in just a few weeks.", "one_liner": "Turn ideas into physical products", "team_size": 15, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1720474111, "tags": [ "Consumer", "Manufacturing", "E-commerce", "Supply Chain", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/no-logo", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/no-logo.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/useterra", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b5b06eac03359187ea4b158a471d8bc4ecb6c046.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0ad9a29b363d5ce62db380863687708036344592.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1864416, "full_name": "Lev Glushkovskii", "title": "Founder/CEO", "founder_bio": "Previously co-founded SabersPro and bootstrapped the company from 0 to $10M+ in sales in 2.5 years, where he restructured the supply chain with factories increasing margins by 15% saving ~1M in profits. Dropped out from the Business, Technology, and Entrepreneurship program (BTE) at NYU Stern.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lev-glushkovskii/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6498abc55f9921e35cba05685b09b81c3b1ff3e.jpg" }, { "user_id": 1859401, "full_name": "Dylan McFarland", "title": "Founder/CTO", "founder_bio": "In high school bootstrapped a furniture startup and in under a year went from selling on Craigslist to running a 40-person factory in Shenzhen. Took those insights and dropped out of NYU Stern BTE to run No Logo, a platform that streamlines supply chain creation for growing companies. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dylan-mcfarland/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/acc389a0599fcd74956e3d31c4f5fbec224a5652.jpg" } ], "jobs": [ { "id": 88195, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/no-logo/jobs/7OzjhOe-software-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $170K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 96324, "title": "Founding Growth Lead, Paid Media", "url": "https://www.ycombinator.com/companies/no-logo/jobs/HL4hboz-founding-growth-lead-paid-media", "location": "New York, NY, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$120K - $160K", "equity_range": "0.05% - 0.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 103396, "title": "No Logo: Turn any idea into a real, manufactured product", "tagline": "Building the orchestration layer for physical product creation", "body": "The last twenty years have made starting a business seamless. Shopify solved the store. Stripe solved payments. TikTok solved distribution. Manufacturing is the one piece that never moved. Launching a single new product still takes 6 to 12 months, tens of thousands of dollars upfront, and a team of specialists. Most great product ideas die before they become something you can hold.\n\nWe are building the orchestration layer for physical product creation, bridging the gap between customer demand and manufacturing supply.\n\nIt works like this. You describe an idea. Our AI visualizes it with you, breaks it into components and manufacturing processes, and matches each step to the right factory in our network. We run production, QC, and fulfillment, going from idea to a growing brand in about a month with no upfront costs.\n\nWe are not putting logos on mugs. We create entirely new consumer products: a digital camera that clips onto a purse, a lava-lamp humidifier, a painting that glows like the sun. We are starting with creators whose audiences have already validated demand; production happens only after demand exists, not before.\n\nSo far we’ve launched hundreds of products, shipped tens of thousands of items, and reached creator audiences totaling more than 90M people. Every product we create makes the network faster and smarter for the next one.\n\nHave a product idea your audience keeps asking for? We'll make it real. [nologo.com](http://nologo.com)\n\n![uploaded image](/media/?type=post&id=103396&key=user_uploads/1864416/00357a42-8390-424d-88fd-cf378c0395fe)\n\n", "url": "https://www.ycombinator.com/launches/Qtg-no-logo-turn-any-idea-into-a-real-manufactured-product", "votes": 6, "created_at": "2026-06-17T22:59:32.498Z" }, { "id": 83615, "title": "Terra 🌎: Instant supply chain creation", "tagline": "Enter Terra, a new world of procurement.", "body": "# **TL;DR -**\n\nUse [Terra](http://useterra.com) as an all-in-one platform to seamlessly **develop, manufacture, and ship your products**. Discover pre-vetted suppliers and instantly create modular supply chains, all while having access to wholesale pricing regardless of order quantity.\n\n—\n\n# **The Team**\n\nHello all! We’re [Dylan](https://www.linkedin.com/in/dylan-mcfarland/) and [Lev](https://www.linkedin.com/in/lev-glushkovskii/) from Terra, and we’re _really_ passionate about making custom manufacturing accessible to everyone.\n\n![uploaded image](/media/?type=post&id=83615&key=user_uploads/1859401/1b3de9c2-aefa-40aa-aeeb-7243b3bec363)\n\n# **🚨 The Problem 🚨**\n\nWe’ve been working with suppliers globally since we were freshmen in high school. If you can think of a costly manufacturing or shipping mistake, we’ve likely already made it a dozen times over. But through our experiences building supply chains, we’ve routinely run into the same issues: \n\n⚙️ Way too many moving parts \n\n⚠️ The best factories have high minimum order requirements \n\n👎 Current software is either too rudimentary or ridiculously complex\n\n# **✅ The Solution ✅**\n\n* Forget spending weeks juggling multiple supplier group chats, spreadsheets of shipping quotes, and financial docs. Terra automatically matches you with the right partners through a single dashboard, allowing you to launch products in minutes.\n* We aggregate demand based on similarity, ensuring you’ll get access to the best pricing and factories regardless of order size.\n*  Our platform is completely modular. Build a supply chain entirely from our pre-vetted partners, onboard your existing suppliers, or use a combination of both. No constrictions, only flexibility.\n\n![uploaded image](/media/?type=post&id=83615&key=user_uploads/1859401/38054f53-5593-4f5e-8f1e-0e80ff948676)\n\n# **🤝 Our Ask 🤝**\n\nAre you or anyone in your network looking to launch/scale/streamline manufacturing processes? If so, hit us at [founders@useterra.com](mailto:founders@useterra.com), we’d love to get in touch.\n\nCurrently looking specifically for anyone selling/manufacturing furniture or home goods! ", "url": "https://www.ycombinator.com/launches/Lkd-terra-instant-supply-chain-creation", "votes": 110, "created_at": "2024-08-30T04:18:41.909Z" } ] }, { "id": 29992, "name": "Outerport", "slug": "outerport", "former_names": [ "haipera", "Haipera", "Outerbasis" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2fd2342d3ea6b9592dfb0ad90c6249ad7c9ee05.png", "website": "https://outerport.com", "all_locations": "San Francisco, CA, USA", "long_description": "We’re about to see an influx in the AI-led discovery of new medicines, specialty chemicals, and materials. This means the bottleneck will shift from R&D, to the scale-up of these new recipes. Unfortunately, designing these production systems and making sure they can be operated safely is an expensive and labor-intensive ordeal that involves thousands of pages of drawings where one mistake can cause millions of dollars in rework or even disasters. Outerport solves this by helping engineering firms automate the design of the industrial control systems needed for production scale-up, using a domain-specific language for electrical design with thousands of unit tests that verify performance, and building simulators that can ingest already built schematics of plants to help automate comissioning and help train operators to prevent costly mistakes.", "one_liner": "Design automation for industrial electrical controls", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1721673756, "tags": [ "Hardware", "Design", "Manufacturing", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 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/outerport", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/outerport.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/outerport", "x_url": "https://x.com/outerport", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2fd2342d3ea6b9592dfb0ad90c6249ad7c9ee05.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": 231327, "full_name": "Towaki Takikawa", "title": "Founder/CEO", "founder_bio": "Ex-Research Scientist at NVIDIA, working on R&D for simulation (neural fields, 3D computer vision, 3D generative models). Previously worked in robotics (systems engineering / electro-mechanical design) and manufacturing (operating various CNC machines 😎).", "is_active": true, "linkedin_url": "https://linkedin.com/in/tovacinni", "x_url": "https://x.com/yongyuanxi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/517caf29a4afd4a93916d324c052859963ad85db.jpg" } ], "jobs": [ { "id": 81669, "title": "Member of Technical Staff, Computer Vision / Graphics", "url": "https://www.ycombinator.com/companies/outerport/jobs/XyfMWG2-member-of-technical-staff-computer-vision-graphics", "location": "San Francisco, CA, US / Tokyo, JP", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$100K - $200K", "equity_range": "0.50% - 3.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Python", "Torch/PyTorch", "OpenCV", "Computer Vision" ] }, { "id": 88429, "title": "Member of Technical Staff, Tokyo Deployed", "url": "https://www.ycombinator.com/companies/outerport/jobs/mMUcpLv-member-of-technical-staff-tokyo-deployed", "location": "San Francisco, CA, US / Tokyo, JP / Remote (US; JP; CA)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$60K - $200K", "equity_range": "0.50% - 3.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "React", "TypeScript", "Next.js" ] }, { "id": 95319, "title": "Member of Technical Staff, Process Engineering", "url": "https://www.ycombinator.com/companies/outerport/jobs/xNvEant-member-of-technical-staff-process-engineering", "location": "San Francisco, CA, US / Tokyo, JP / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Chemical engineering", "salary_range": "$60K - $200K", "equity_range": "0.50% - 3.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 95320, "title": "Business Development / Operations, Tokyo", "url": "https://www.ycombinator.com/companies/outerport/jobs/xOHQwfu-business-development-operations-tokyo", "location": "Tokyo, JP", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $200K", "equity_range": "0.10% - 3.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114954, "title": "Member of Technical Staff, DSL for Automation & Electrical CAD", "url": "https://www.ycombinator.com/companies/outerport/jobs/sRFUnQ9-member-of-technical-staff-dsl-for-automation-electrical-cad", "location": "San Francisco, CA, US / Tokyo, JP / Remote (US; JP; CA)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$100K - $300K", "equity_range": "1.00% - 5.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30075, "name": "Tiny", "slug": "tiny", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc7095317389a5c68c0c208c8ea8d41d1ba3ad7c.png", "website": "https://andtiny.com", "all_locations": "Singapore, Singapore; Remote", "long_description": "At Tiny, we’re building a new kind of ERP system for factories where AI agents automate repetitive workflows. Made for the four million factories still primarily relying on Excel. LLMs now unlock their troves of siloed unstructured data. We see a massive opportunity to build a compound startup and, beyond that, tap into network effects to unlock just-in-time manufacturing across entire supply chains.", "one_liner": "A new kind of ERP system for factories", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1731209249, "tags": [ "SaaS", "B2B", "Workflow Automation", "Manufacturing", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "Singapore", "Southeast Asia", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tiny", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/tiny.json", "year_founded": 2024, "city": "Singapore", "country": "SG", "linkedin_url": "https://www.linkedin.com/company/and-tiny", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/tiny-6bbb", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc7095317389a5c68c0c208c8ea8d41d1ba3ad7c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2234606, "full_name": "Edward Zhang", "title": "Founder/CTO", "founder_bio": "Ed is the CTO and co-founder of Tiny. Previously, he led the scaling of Apple’s Services API gateway from the ground up. Before that, he was a full-stack engineer at SaaS companies such as Zenefits and Addepar. He holds a B.S. in Computer Science from Carnegie Mellon University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edward-zhang-14685828/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fbc81ec23b4099b16cd6db20f3a70e20c67dea6e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85625, "title": "Tiny - Rippling for factories", "tagline": "A new kind of ERP system for factories.", "body": "# **TL;DR**\n\nAt [Tiny](https://andtiny.com/) we’re building a compound startup like [Rippling](https://www.rippling.com/) for factories. Our mission is to provide factories with a single, cohesive platform to track and manage the full lifecycle of a manufactured item across every department in their organization.\n\n\n\nWe’re already working with several factories in Indonesia, Vietnam, and India, focusing on suppliers in the automotive and electronics industries.\n\n# **The Problem**\n\nMany factories are trapped in a web of disjointed spreadsheets and partially integrated tools, requiring costly manual data re-entry at nearly every stage—unless they can afford to spend over $1M on an ERP solution like SAP. This fragmentation leads to poor visibility into true costs and inventory, resulting in over-ordering of materials and dead stock of manufactured goods.\n\n# **The Solution**\n\nTiny is a ground-up reimagination of cumbersome traditional ERP software. Factories now have an intuitive user experience that leverages live collaborative editing to get everyone working together seamlessly, with a workflow engine that assigns tasks to the right person at the right time. Furthermore, as we expand our platform, we plan to automate repetitive tasks, thereby reducing costs and unlocking valuable insights by unifying sales, procurement, and production processes—all within a single system.\n\nCurrently, we’ve started at the very beginning of the order lifecycle: the quotation process. Our first module empowers sales and engineering teams to respond to customer inquiries faster and more accurately. The foundation of this module—the workflow engine, the lightweight CRM, and the item library—are shared in the upcoming procurement and production modules, resulting in deep integration and a seamless experience for our customers.\n\nThe foundation we’ve built is a fully collaborative object graph with real-time computations, plus a truly novel form input framework including automatic object syncing and interactive audit logs, on top of durable workflow execution that enables us to customize workflows extremely efficiently. Thanks to this foundation, we are uniquely positioned to unlock never-before-seen, truly interactive collaboration with AI agents.\n\n# **About Us**\n\nWe’re [Louis](https://www.linkedin.com/in/ldevalliere) and [Ed](https://www.linkedin.com/in/edward-zhang-14685828/), co-founders who have known each other for over a decade. We were roommates in San Francisco and previously collaborated at Addepar, developing wealth management software, and at Zenefits, building benefits and payroll solutions. Before founding Tiny, Louis served as VP of Design at BitGo, and Ed led the scaling of Apple’s Services API gateway from the ground up.\n\n# **How You Can Help**\n\nWe’d love introductions to anyone connected with factories who might benefit from a more streamlined, cost-effective solution.\n\n![uploaded image](/media/?type=post&id=85625&key=user_uploads/89898/57d5d166-e0c1-4aa8-b796-927ab003ce9d)\n\n", "url": "https://www.ycombinator.com/launches/MH3-tiny-rippling-for-factories", "votes": 46, "created_at": "2024-11-17T19:31:27.657Z" } ] }, { "id": 30110, "name": "Forerunner", "slug": "forerunner", "former_names": [ "Forerunner AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/683490b8ed63456c153999da3c193d23b5d08e78.png", "website": "https://tryforerunner.com", "all_locations": "Los Angeles, CA, USA", "long_description": "Forerunner is an AI-native factory building precision bent-tubes for aerospace, defense, energy, and industrials.", "one_liner": "Quick-turn bent tube shop for aerospace, energy, industrials", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1730181783, "tags": [ "Manufacturing", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/forerunner", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/forerunner.json", "year_founded": 2024, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tryforerunner/", "x_url": "https://x.com/TryForerunner", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/683490b8ed63456c153999da3c193d23b5d08e78.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 695093, "full_name": "Yash Kadadi", "title": "Founder/CEO", "founder_bio": "Prev. Software/Autonomy/ML at Anduril, SpaceX, and NASA |\nStanford BS CS '25, MS CS '26 (on leave)", "is_active": true, "linkedin_url": "https://linkedin.com/in/yashkadadi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/61dd1e8893ca6d6f65f7d8d79f9c757baccc170c.jpg" }, { "user_id": 972066, "full_name": "Will Nida", "title": "Founder/CTO", "founder_bio": "Stanford BS '25 (Physics + CS). Prev. Starship Propulsion Engineering @ SpaceX, Plasma Propulsion Research @ Stanford", "is_active": true, "linkedin_url": "https://linkedin.com/in/william-nida", "x_url": "https://x.com/willnida0", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/088a3d13c32b1a604dc4303a36ba4d9d61b03e9c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85132, "title": "Forerunner - Copilot for aerospace engineers", "tagline": "Forerunner collaborates with engineers to accelerate development of defense tech, satellites, and rockets.", "body": "### **BLUF**\n\n[Forerunner](https://tryforerunner.com) automates repetitive hardware engineering tasks, helping hardware teams speed up design iterations and stay aligned. Our AI-powered Slackbot integrates with software like Confluence and GitHub, enabling engineers to efficiently access the latest data (“What’s the current thrust on our Methalox engine?”), run calculations (“Solve for mass flow rate on the cold gas thruster”), and update files (“Update SRB design thrust with new test data”).\n\nWith Forerunner, engineers can focus on what matters: designing and building hardware systems.\n\n\n\n### **The Ask – Refer Us**\n\nWe’d like to chat with any engineering leads at aerospace, defense, and hardware companies! \n\nEmail [yash@tryforerunner.com](mailto:yash@tryforerunner.com) if you or your friends are building cool hardware! \n\n### **Who we are**\n\nWe’re [Yash](http://linkedin.com/in/yashkadadi) and [Will](http://linkedin.com/in/william-nida)! We’re lifelong aerospace nerds. We’ve launched liquid biprop rockets and built CubeSats at Stanford, and we have deployed hardware and software at SpaceX (Starship and Starlink), Anduril (Altius), and NASA (ISS operations).\n\n### **Why this matters**\n\n![uploaded image](/media/?type=post&id=85132&key=user_uploads/695093/61c93aea-f5e3-4ed2-a5eb-c0b0788ada17)\n\n_An FPV drone carrying a warhead disables Russian armor. Credit: United24_\n\n[The world is on fire](https://www.cnn.com/2024/10/24/europe/ukraine-north-korean-troops-spotted-kursk-intl-latam/index.html), and we desperately need to fly the next generation of autonomous weapons, satellites, launch vehicles, hypersonics, and eVTOL aircraft. \n\nHowever, inefficient engineering software is slowing us down. We personally experienced the frustration of digging through hundreds of slides of primary structures analysis, setting up Excel hand-calcs with equations from Roark’s, and missing flight deadlines.\n\nTo accelerate the development of critical aerospace and defense hardware, we need to automate slow, tedious workflows for engineers. \n\n### **How we solve this**\n\nForerunner automates repetitive tasks in aerospace engineering. Today, Forerunner can:\n\n* Update turbopump design specs in Document A by querying and synthesizing test results from Documents B and C.\n* Size the mass budget for a comms satellite using techniques in The New SMAD. Generate compliant test plans based on [Air Force Space Command procedures](https://explorers.larc.nasa.gov/2019APSMEX/MO/pdf_files/SMC-S-016_05SEP2014.pdf).\n* Analyze assembly instructions for an arming fuse and generate an inspection plan for QA.\n* Track system-level requirements for a loitering munition; when new wingbox subsystem specs are uploaded, Forerunner flags and corrects any inconsistencies with system requirements.\n\n![uploaded image](/media/?type=post&id=85132&key=user_uploads/695093/7042fafb-b9b4-449a-9bac-9c11b3bf9309)\n\n", "url": "https://www.ycombinator.com/launches/M96-forerunner-copilot-for-aerospace-engineers", "votes": 39, "created_at": "2024-10-29T20:49:59.814Z" } ] }, { "id": 30127, "name": "Loombotic", "slug": "loombotic", "former_names": [ "Fabraicate", "Fabricate" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/03e05dcd715014e7e3ce539d4aef2abf9ef621e2.png", "website": "https://www.loombotic.com", "all_locations": "Toronto, ON, Canada", "long_description": "Loombotic is automating wire harness manufacturing.", "one_liner": "Wire Harnesses in as little as 7 days", "team_size": 25, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1731992228, "tags": [ "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "Canada", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/loombotic", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/loombotic.json", "year_founded": 2024, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/loombotic", "x_url": "https://x.com/loombotic", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/03e05dcd715014e7e3ce539d4aef2abf9ef621e2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e37f409d0c03fa596a84b1fe28a4c0313248a1b9.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1684816, "full_name": "Lucas Crupi", "title": "Founder/CEO", "founder_bio": "Co-founder @ Loombotic", "is_active": true, "linkedin_url": "https://linkedin.com/in/lucas-crupi-4a7037177", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d8fe6a15748d6084776cac776180af4d2ff933a8.jpg" }, { "user_id": 1690221, "full_name": "Ethan Breit", "title": "Founder/CTO", "founder_bio": "Co-founder @ Loombotic", "is_active": true, "linkedin_url": "https://linkedin.com/in/ethan-breit-a7ba81180", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ed66d76f6d3aa98325ab274ac03103c6616fe91c.jpg" } ], "jobs": [ { "id": 112445, "title": "Mechatronics Engineer", "url": "https://www.ycombinator.com/companies/loombotic/jobs/gVVi8Uy-mechatronics-engineer", "location": "Austin, TX, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$90K - $150K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "CAD Design", "PCB design" ] }, { "id": 112518, "title": "Robotics Engineer", "url": "https://www.ycombinator.com/companies/loombotic/jobs/3C66pEX-robotics-engineer", "location": "Austin, TX, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$100K - $160K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 112797, "title": "Technical Account Executive", "url": "https://www.ycombinator.com/companies/loombotic/jobs/BUBbBYH-technical-account-executive", "location": "Austin, TX, US", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$70K - $90K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 114360, "title": "Content Creator & Social Media Manager", "url": "https://www.ycombinator.com/companies/loombotic/jobs/pWrEdog-content-creator-social-media-manager", "location": "Austin, TX, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$60K - $95K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 85704, "title": "Fabricate - Instantly Generate Engineering Drawings", "tagline": "Mechanical Engineers spend too much time making engineering drawings. Fabricate does it for them.", "body": "# **TLDR**\n\nMechanical engineers **hate** making engineering drawings. Fabricate lets them instantly create engineering drawings for their parts, saving them up to **40** hours every month by doing the tedious work for them.\n\n[Product Video](https://youtu.be/SYAAd9bGSlQ)\n\n# **The Problem**\n\nEngineering drawings are required for every manufactured part, but creating them is tedious and time-consuming. For large industrial projects with **thousands** of parts, engineers spend countless valuable hours on drawings instead of designing new parts. This bottleneck delays production and **wastes** valuable engineering talent.\n\n![uploaded image](/media/?type=post&id=85704&key=user_uploads/1684816/9e451d4b-5f32-4dea-9829-2796f126651f)\n\n# **The Solution**\n\nFabricate analyzes your existing drawings and automatically generates new ones matching your exact standards - from dimensions and annotations to views and formatting. It integrates directly with existing CAD software and maintains consistency across all drawings and manufacturing methods.\n\n# **The Founders**\n\n![uploaded image](/media/?type=post&id=85704&key=user_uploads/1684816/fd42ce0c-7467-431c-84ca-8a3e41a04194)\n\nLucas has been obsessed with CAD his entire life; He became the youngest ever Solidworks expert at 15. Recently, he worked on the Cybertruck battery design.\n\nEthan has been programming since he was 8; most recently worked at Ericsson, a job he was offered for developing an embedded OS on his own at school. \n\nWe met at the Canada Wide Science Fair and have been building together for 6+ years. We both dropped out of university to work on Fabricate.\n\n**Our Ask:**\n\nIf you're making engineering drawings or know someone who is, we'd love to get you started. Email [lucas@tryfabricate.com](mailto:lucas@tryfabricate.com) or book a demo at [tryfabricate.com](http://tryfabricate.com). We're happy to visit your office with donuts to discuss how we can help!", "url": "https://www.ycombinator.com/launches/MIK-fabricate-instantly-generate-engineering-drawings", "votes": 40, "created_at": "2024-11-19T19:55:06.612Z" } ] }, { "id": 30233, "name": "Inversion Semiconductor", "slug": "inversion-semiconductor", "former_names": [ "Axiom Semiconductor Inc.", "Axiom Semiconductor" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f8f65cc20ede5375e5fb2b79c8dcf6d37b04f4c2.png", "website": "https://www.inversionsemi.com", "all_locations": "San Francisco, CA, USA", "long_description": "Inversion Semiconductor is developing the next-generation chip fabrication machine, to create the most powerful chips 15x faster. Our vision is to reshore advanced chip fabrication capabilities in the West.\r\n\r\nWe're building a lithography machine. Lithography uses light to pattern circuit features on silicon. We're scaling transistors to their physical limits by shrinking particle accelerators 1000x, to create a high power light source. \r\n\r\nUsing our light source we will double transistor density for a given numerical aperture and 3x throughput.", "one_liner": "Manufacturing the most powerful chips, 15x faster", "team_size": 9, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1740019402, "tags": [ "Hardware", "Manufacturing", "Semiconductors" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/inversion-semiconductor", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/inversion-semiconductor.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/inversion-semiconductor/", "x_url": "https://x.com/inversionsemi", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f8f65cc20ede5375e5fb2b79c8dcf6d37b04f4c2.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": 1787486, "full_name": "Rohan Karthik", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Inversion Semiconductor (W25), developing next-gen semiconductor lithography machines. \nMasters in Mechanical Engineering from Imperial College London & Royal Academy of Engineering awardee. \nPreviously automated chip design at Arm and led the Karman Space Programme to build record-breaking high power rockets. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rohan-karthik-60a0b61b7/", "x_url": "https://x.com/rohankarthik_?s=11&t=VBdqSXL_9iUGm2d8V2oKBg", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/640f0673236b8d2a684219c698df989fd02754dc.jpg" }, { "user_id": 2326493, "full_name": "Daniel Vega", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of Inversion Semiconductor (W25), developing next-gen lithography machines. \nMasters in Applied Physics from University College London, with a focus on applications of particle physics. \nPreviously created novel ML models for stability optimization of tabletop particle accelerators at CERN, and developed particle accelerators for cancer treatment at Lumitron Technologies\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daniel-r-vega/", "x_url": "https://twitter.com/daniel_r_vega", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/95a252674e588a5c32406c68d263bbce51435bf5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87848, "title": "Inversion Semiconductor – Scaling Chips to their Physical Limits", "tagline": "Manufacturing the most powerful chips 15x faster", "body": "# Scaling Chips to their Physical Limits\n\nImagine a chip fabrication machine that produces the most powerful chips 15x faster.\n\nSeven months ago, Rohan was automating chip design at Arm while finishing his master’s in Mechanical Engineering at Imperial College London. Meanwhile, Daniel was creating novel ML models for stability optimization of tabletop particle accelerators at CERN. All while completing his master’s in Applied Physics at University College London.\n\nWe realized that we could build a novel lithography machine, to truly kill Moore’s Law. And we could do this by shrinking particle accelerators 1000x, to build a high power light source driven by laser wakefield acceleration (LWFA). \n\nHere’s a concept video of how our lithography machine will work:\n\n\n\n# Background\n\nLithography is the process of using light to pattern circuit features on silicon. It’s the most important step in making chips. \n\nWith a monopoly on advanced lithography machines, ASML produces 13.5 nm “EUV” light by blasting tin droplets and directing the light on to a wafer using mirrors. However, advanced chips constantly demand finer circuit features. To improve resolution, ASML enlarges its mirrors, a trade-off that significantly increases system complexity and cost.\n\nOver the next decade ASML targets 1 kW of EUV light out, with 1 MW of power in. We aim to achieve 10 kW of even shorter-wavelength light. This will also enable our light source to power multiple lithography machines, unlocking billions in annual revenue gains for fabs.\n\n# Currently\n\nWe aim to generate the required high power light using “tabletop” particle accelerators capable of accelerating electrons to extremely high energies over centimeters, rather than the kilometers needed for large accelerators at CERN and SLAC. We’ll do this using plasma waves (wakefields) driven by a high power laser. \n\nSo far we have:\n\n* Set-up a mini laser lab in the basement of the YC office, to test our novel laser stability algorithms\n* Developed initial LWFA prototypes to generate small-wavelength light.\n\nWe’ve secured a strategic partnership with the world’s leading research group for LWFA development – Lawrence Berkeley National Lab and the Berkeley Laser Lab Accelerator (BELLA). Our collaboration, dubbed the Laser Undulator eXperiment (LUX) or BELLA-LUX (Beautiful Light), is initially focused on improving laser stability and testing light generation using our prototypes.\n\n![uploaded image](/media/?type=post&id=87848&key=user_uploads/1787486/4977528a-59c0-47a9-944f-0cf3211ffa2c)\n\n![uploaded image](/media/?type=post&id=87848&key=user_uploads/1787486/757f3d74-9e83-4864-bd8b-6d105de5d7a5)\n\n# Next Steps\n\nDuring the BELLA-LUX collaboration, we aim to build a high power, tunable light source – STARLIGHT. We are currently exploring early applications to accelerate technical development towards lithography. Companies like Tesla and Applied Materials are interested in potential applications for industrial x-ray imaging and semiconductor mask inspection.\n\nOur goal is to generate 1 kW of soft x-ray light (20nm – 6 nm). If successful, this milestone will pave the way for a user facility, where booking beam time will be as simple as reserving a SpaceX launch—using your credit card. \n\nSimultaneously, we will develop novel mirror systems to reflect and focus generated x-ray light. This will allow us to demonstrate silicon patterning with our initial LITH-0 system, powered by STARLIGHT.\n\n# Asks\n\nIf you know incredible plasma / particle accelerator scientists or lithography engineers, we’d love an introduction.\n\nIntros to VPs / C-Suite at semiconductor manufacturing companies\n\nGot spare laser system parts (optics, gratings, actuators etc)? We’ll take them.\n\n[Lab snacks](https://neil.computer/notes/thorlabs-lab-snacks/)\n\n![uploaded image](/media/?type=post&id=87848&key=user_uploads/1787486/f67b95de-7fd7-46e5-9b82-f26ad0b04ade)\n\n![uploaded image](/media/?type=post&id=87848&key=user_uploads/1787486/11a71540-2837-40cd-a44d-937e09753418)\n\n", "url": "https://www.ycombinator.com/launches/Mqu-inversion-semiconductor-scaling-chips-to-their-physical-limits", "votes": 54, "created_at": "2025-02-20T03:24:56.576Z" } ] }, { "id": 30305, "name": "Forge Automation", "slug": "forge-automation", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/83675e4cb8108f5003548d5dd5c6e5ee56ede4aa.png", "website": "https://www.forgeautomation.ca", "all_locations": "Toronto, ON, Canada", "long_description": "Forge Automation runs software enabled factories that deliver custom metal parts in four days or less. Instead of mechanical engineers having to wait two to three weeks for their low volume CNC parts, they can simply upload a CAD model on our platform and we will ship it out in four days or less. We aim to give mechanical engineers the \"Amazon experience\" for custom metal parts.", "one_liner": "Software Enabled CNC Parts Supplier", "team_size": 21, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1736647566, "tags": [ "Hard Tech", "Hardware", "Robotics", "Manufacturing", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "Canada", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/forge-automation", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/forge-automation.json", "year_founded": 2022, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/forge-automation", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/83675e4cb8108f5003548d5dd5c6e5ee56ede4aa.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": 1502123, "full_name": "Timothy Seto", "title": "Founder/CEO", "founder_bio": "Co-founder + CEO @ Forge Automation | I make metal parts. Send me CAD, I will make it in the real world.\n\nI went to the University of Waterloo Engineering, and interned at Apple, Formlabs and iRobot. I have been machining for over 10 years and I love building robots and machines. I graduated in the summer of 2022 and co-founded Forge Automation right after.", "is_active": true, "linkedin_url": "https://linkedin.com/in/timmy-seto", "x_url": "https://x.com/TimmySeto", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e323b40b6256f205c7b5e8cf0bc59216b4541428.jpg" }, { "user_id": 1631233, "full_name": "Walter Raftus", "title": "Founder/CTO", "founder_bio": "Co-Founder + CTO @ Forge Automation | I love computers, math, and big specialized machines controlled with software!\n\nI went to the University of Waterloo for AI + Mechatronics Engineering, and interned at Nvidia, Trexo Robotics (W19), and Intel PSG working on a bunch of different software ranging from system software, deep learning, and embedded control. I graduated in the summer of 2022 and co-founded Forge Automation right after!", "is_active": true, "linkedin_url": "https://linkedin.com/in/walterraftus", "x_url": "https://x.com/walter_raftus", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0d7ab215db8f29667413c93869cec9b8fdba5150.jpg" } ], "jobs": [ { "id": 103180, "title": "Manufacturing Software Engineer", "url": "https://www.ycombinator.com/companies/forge-automation/jobs/GAgHVzO-manufacturing-software-engineer", "location": "Toronto, ON, CA / Toronto, Ontario, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100 - $160 CAD", "equity_range": "0.10% - 0.30%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 87618, "title": "Forge Automation - CNC parts in 4 days or less", "tagline": "Forge Automation runs software enabled factories that deliver quickturn on-demand CNC parts.", "body": "**TLDR**\n\nForge Automation runs software enabled factories that deliver quickturn on-demand CNC parts.  For customers who prioritize consistent and fast lead times, Forge offers the option to reserve dedicated CNC machines on their floor, giving you a guaranteed SLA on production time. Alternatively, customers can order parts on-demand at a higher price. We’ve shipped thousands of parts to engineers all over North America ranging from Fortune 10 companies to start-ups.\n\n**For an instant quote, upload a CAD file at** [**www.forgejobshop.com**](http://www.forgejobshop.com)!\\\n\\\n[**Check out our Factory!**](https://www.youtube.com/watch?v=KSKWPaM_Yno) \n\n**Problem:**\n\nHardware development is hard because it takes 2-3 weeks to receive prototype parts after placing an order with a supplier. For those in the software world, imagine having to wait 2 weeks to compile your code - you would hate your life and nothing would get done! Engineers just want a CNC service that is quick, affordable, and reliable! \n\n**Introducing Forge Automation:**\n\nWe are a North American based machine shop that makes custom, low volume CNC parts. Over the past two years, we’ve shipped thousands of parts to engineers all over North America ranging from Fortune 10 companies to brand new start-ups.\n\nAlong with the high quality and fast lead times, customers love our service because it’s the easiest way to order parts online. **Engineers can ditch the drawing and add manufacturing intent directly onto their CAD model within our platform.** Here's a quick demo showing how easy it is to submit an order.\n\n[**Quoting Demo:**](https://www.youtube.com/watch?v=bkJ73dUJ1gs)\n\nWe are excited to launch a new product – **Forge Reserve Machines**. Customers can get dedicated access to their own CNC machine on Forge's shop floor. Forge handles everything - purchasing and maintaining a 3 axis mill, plus providing one of their skilled machinist to make your parts. Forge Reserved Machines represent an SLA guaranteeing you 4 day production times so your parts are never late!\n\n**Our Ask - If you need parts made:**\n\nIt's easy to get started! Upload a CAD model to [**www.forgejobshop.com**](http://www.forgejobshop.com), receive an instant quote, checkout online, and have a part in your hand lightning fast!\n\nIf you want fast, reliable, and guaranteed service on your CNC parts, check out our [**Reserved Machine**](https://www.forgejobshop.com/docs/reserve) option.\n\n![uploaded image](/media/?type=post&id=87618&key=user_uploads/1502123/01702dfd-885e-4894-a3e6-420115ecedc5)\n\n", "url": "https://www.ycombinator.com/launches/MnC-forge-automation-cnc-parts-in-4-days-or-less", "votes": 37, "created_at": "2025-02-12T19:12:07.695Z" } ] }, { "id": 30315, "name": "Optifye.ai", "slug": "optifye-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d86ffdce2296389239f29bc23023bc7867815208.png", "website": "https://www.optifye.ai", "all_locations": "New Delhi, DL, India", "long_description": "Optifye.ai does AI performance monitoring for factory workers\r\n\r\nWe place cameras in factories and use vision AI to tell supervisors who's working and who's not in real time. \r\n\r\nThe shop floor has historically been a black box. With Optifye, manufacturing companies can now accurately measure worker output and boost efficiency!", "one_liner": "AI performance monitoring for factory workers", "team_size": 8, "industry": "B2B", "subindustry": "B2B", "launched_at": 1739567184, "tags": [ "Hard Tech", "Computer Vision", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "India", "South Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/optifye-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/optifye-ai.json", "year_founded": 2024, "city": "New Delhi", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/optifye-ai/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d86ffdce2296389239f29bc23023bc7867815208.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": 1289176, "full_name": "Vivaan Baid", "title": "Founder/CEO", "founder_bio": "I studied computer science & psychology at Duke. My family has been running a manufacturing company since before I was born. I've been around assembly lines for as long as I can remember.\n\nAt Optifye, I am using my expertise in computer vision to enable supervisors to solve shop-floor inefficiencies in real-time.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vivaan-baid-119415177/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f9c6b9b6347741a6d9c5e1f2925f6fe792d6e654.jpg" }, { "user_id": 2122711, "full_name": "Kushal Mohta", "title": "Founder", "founder_bio": "Building Optifye.ai. Previously built a system to boost efficiency by 105% of semi-automated lines at an automobile gears manufacturing company. My family also runs several manufacturing plants in various industries, which has given me unrestricted access to assembly lines since I was 15.\n\n Studied for a B.S.E in Electrical and Computer Engineering and B.S. in Computer Science at Duke University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kushal-mohta-6926931b4/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d2a8ab3d0987d09ccf90ab6ef67b652990a20d12.jpg" } ], "jobs": [ { "id": 74288, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/optifye-ai/jobs/sDfGXkK-founding-engineer", "location": "New Delhi, DL, IN / New Delhi, Delhi, IN / Gurugram, HR, IN / Gurugram, Haryana, IN", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "₹2.4M - ₹4.8M INR", "equity_range": "0.10% - 0.30%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "Amazon Web Services (AWS)", "Kubernetes", "PostgreSQL", "Machine Learning", "Docker", "Computer Vision" ] }, { "id": 79224, "title": "Founding Engineer - AI/ML", "url": "https://www.ycombinator.com/companies/optifye-ai/jobs/NQxhJPr-founding-engineer-ai-ml", "location": "Gurugram, HR, IN / Gurugram, Haryana, IN", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "₹2.4M - ₹3.6M INR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87931, "title": "Optifye.ai - AI Performance monitoring for factory workers", "tagline": "Solve shop-floor inefficiencies in real-time", "body": "Hi everyone, we’re Kushal & Vivaan - co-founders of Optifye.\n\nWe’re CS grads from Duke and because our families run manufacturing companies, we’ve seen more assembly lines than most industrial engineers!\n\n**Tl;dr;** We place cameras in manufacturing lines and use computer vision to help supervisors solve shop-floor inefficiencies in real-time.\n\n# **The Shop floor is a black-box.**\n\nThere has never been a way to accurately measure shop-floor performance. It is also understaffed; each supervisor, on average, is responsible for 50+ workers. \n\nCompanies struggle to boost efficiency because they cannot determine what caused the problem. \n\nAsk any manufacturing company owner about the last time they reached their productivity targets and you will get a very long, frustrated answer.\n\n# **For the first time ever, Optifye makes it… not a blackbox!**\n\nWe place cameras in manufacturing lines and use computer vision to count the number of pieces each workspace makes in real-time.\n\nWe then relay this information on a dashboard.\n\n![uploaded image](/media/?type=post&id=87931&key=user_uploads/1289176/58cd8240-7fe5-4884-b809-581905b11f89)\n\nWe believe that if you can measure it, you can improve it. \n\n![uploaded image](/media/?type=post&id=87931&key=user_uploads/1289176/dd1da477-3736-42fb-8f82-f76d7d32c77b)\n\n# **What this means for the ____**\n\n**Owner**: Gets accurate real-time factory, line, and workspace productivity metrics - no need to rely on your production head (who never has the incentive to say production looks terrible)\n\n**Production Head**: Gets line-wise and workspace-wise metrics to identify areas for improvement\n\n**Shopfloor supervisor**: Can finally identify what is causing inefficiency in the line and fix the problem on the go\n\nWe align every stakeholder with manufacturing companies’ primary KPI – efficiency.\n\nKnow any manufacturing company owners? \n\nLet us know at [founders@optifye.ai](mailto:founders@optifye.ai), and we’ll help them drop their cortisol levels :) \n\n![uploaded image](/media/?type=post&id=87931&key=user_uploads/1289176/387126da-5b03-41ab-b442-9f2ca0dbcb86)\n\n", "url": "https://www.ycombinator.com/launches/MsF-optifye-ai-ai-performance-monitoring-for-factory-workers", "votes": 82, "created_at": "2025-02-23T02:27:13.182Z" } ] }, { "id": 30316, "name": "Reditus Space", "slug": "reditus-space", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f567bf243e624ac80b841cec50ec05ef7e87c1ac.png", "website": "https://www.reditus.space/", "all_locations": "Atlanta, GA, USA", "long_description": "We are making reusable satellites for zero-g manufacturing & Hypersonic Technology Development. \r\nOur first orbital recovery mission is set to launch in Q4 2026.", "one_liner": "Reusable Satellites", "team_size": 12, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1739340612, "tags": [ "Hard Tech", "Manufacturing", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "The founders met in graduate school at Georgia Tech, while we were both pursuing our PhD’s in aerospace engineering. " } ], "url": "https://www.ycombinator.com/companies/reditus-space", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/reditus-space.json", "year_founded": 2024, "city": "Atlanta", "country": "US", "linkedin_url": "https://www.linkedin.com/company/reditus-space", "x_url": "https://x.com/ReditusSpace", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/reditus-space", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f567bf243e624ac80b841cec50ec05ef7e87c1ac.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1847423dc250b719ebdef9254dae22b30428d3fd.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2231256, "full_name": "Stef Crum", "title": "Founder/CEO", "founder_bio": "CEO Reditus Space - Space Systems Engineer\nSpace Systems Engineering PhD, worked with NASA and Space Force on orbital operations and reentry. Founded Da Vinci Satellite, a satellite mission non-profit.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/spcrum/", "x_url": "https://x.com/StefReditus", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5da8427c01c1ced92fb4375f6dbf2541ffdee78.jpg" }, { "user_id": 2250643, "full_name": "Will Sherman", "title": "Founder/CTO", "founder_bio": "CTO Reditus Space - Georgia Tech PhD dropout", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/willamasherman/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6bb49f20a0b9d5d15773ae4b4ed4fb47472edf81.jpg" } ], "jobs": [ { "id": 76235, "title": "Avionics Engineer", "url": "https://www.ycombinator.com/companies/reditus-space/jobs/2Ag3TbE-avionics-engineer", "location": "Atlanta, GA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$110K - $145K", "equity_range": "0.10% - 0.30%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 76237, "title": "Thermal Structures Engineer", "url": "https://www.ycombinator.com/companies/reditus-space/jobs/zVwGCvw-thermal-structures-engineer", "location": "Atlanta, GA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$110K - $145K", "equity_range": "0.10% - 0.30%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 81898, "title": "Senior Mechanical Engineer", "url": "https://www.ycombinator.com/companies/reditus-space/jobs/z9X9wJa-senior-mechanical-engineer", "location": "Atlanta, GA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$130K - $175K", "equity_range": "0.10% - 0.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "CAD Design" ] }, { "id": 92319, "title": "Senior Aerothermal Engineer", "url": "https://www.ycombinator.com/companies/reditus-space/jobs/phc3lPZ-senior-aerothermal-engineer", "location": "Atlanta, GA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$130K - $175K", "equity_range": "0.10% - 0.25%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 88064, "title": "Reditus Space: Reusable Satellites for zero-g manufacturing", "tagline": "The next wave of pharmaceutical & materials manufacturing will happen in space, and we are getting people there and back faster!", "body": "Hey everyone, we are Will and Stef from Reditus Space!\\\n\\\n**The Problem**\n\nAccess and Return from space is almost entirely dependent on the International Space Station (ISS), a costly, slow, and overly bureaucratic process. Zero-G manufacturing is currently at a turning point, transitioning from research to producing materials for use on Earth. The current space infrastructure cannot provide consistent access & return for zero-g manufacturing, and that is where we come in.\n\n**Why produce anything in space at all?**\n\nThe absence of gravity in space means that there is no sedimentation or convection. In turn, that means during the formation of materials, you are able to make them more homogenous on an atomic level. This has huge implications for pharmaceuticals, semiconductors, and biologics. You are able to create materials in space that cannot be produced on Earth.\\\n\\\nIn short, the material production has to be so precise that gravity is too much of a disturbing force and needs to be removed.\n\n\\\n**What are we building right now?**\\\nRight now we are working on our first full-scale re-entry mission, the ENOS mission, which will be launching on a Falcon 9 in a launch window starting in March '26. We will be hosting a pharmaceutical R&D payload on-orbit and fully re-enter and recover the satellite.\\\n\\\nCheck out the following video for more info about ENOS!\\\n\n\n**The Team**\n\nWill and I met at Georgia Tech while we were both pursuing our PhD’s in Aerospace Engineering. We have worked on several satellite missions and re-entry and recovery with NASA & the DoD.\n\n![uploaded image](/media/?type=post&id=88064&key=user_uploads/2231256/ea6b8ac3-69ce-446b-90f8-9ceb9661a42e)\n\n**The Ask**\n\nWe are actively looking to expand our customer base. If you have any connections within the pharmaceutical or the semiconductor industry, especially the very large companies, we would love to talk to you! Even if you think that your company doesn’t do anything in space, very often they do.\n\n![uploaded image](/media/?type=post&id=88064&key=user_uploads/2231256/7966f07a-9691-448a-8ba7-e90e7537d2f7)\n\n", "url": "https://www.ycombinator.com/launches/MuO-reditus-space-reusable-satellites-for-zero-g-manufacturing", "votes": 15, "created_at": "2025-02-26T18:27:06.101Z" } ] }, { "id": 30353, "name": "Axal", "slug": "axal", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/82e9354c307a1bd5e3bca2ede62b3b0bdfbdba15.png", "website": "https://www.axal.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Axal is a quick-turn PCB assembly shop in San Francisco. Samai and Nand build every board themselves, and both are IPC certified. For quantities under 10, we assemble boards in under 48 hours. Order online in 2 minutes at axal.ai.\r\n\r\nSend us your board files and we handle the parts, bare boards, assembly, inspection, and delivery. ", "one_liner": "We assemble PCBs in under 48 hours for quantities under 10", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1736891737, "tags": [ "Hardware", "Robotics", "Manufacturing", "Electronics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/axal", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/axal.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/axalai/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/82e9354c307a1bd5e3bca2ede62b3b0bdfbdba15.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": 1097575, "full_name": "Samai Patel", "title": "Founder", "founder_bio": "I like making electronics. Made projects being used by Lockheed Martin and Amazon Kuiper. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samaipatel", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5a05bba8f4675bd20d06a33f7fa30448bfcc345.jpg" }, { "user_id": 570999, "full_name": "Nand Vinchhi", "title": "Founder", "founder_bio": "Co-founder and CTO of Axal - https://axal.ai", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nandvinchhi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e03b530f45ad3e0b17ec21eb09353b338338a5de.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108343, "title": "Axal: Designing and Getting PCB's in China is Dead", "tagline": "We help companies design and assemble their board in days", "body": "We are launching Axal, a services company that designs, assembles, and tests custom PCBs for hardware startups in days. American manufacturing is back. 🇺🇸\n\nAxal enables hardware teams to get custom PCBs designed and built in the U.S. without needing electrical engineers on staff.\n\nWe’ve helped teams go from no PCB design to a working board delivered in as little as two weeks.\n\nIt’s ridiculous that American hardware startups have to go overseas just to get a PCB designed and built affordably. Together, we can change that and build more hardware in America.", "url": "https://www.ycombinator.com/launches/SBT-axal-designing-and-getting-pcb-s-in-china-is-dead", "votes": 2, "created_at": "2026-07-30T06:10:46.886Z" }, { "id": 91586, "title": "Axal: Legacy Code, Understood in Hours. Seriously.", "tagline": "We help startups who want to integrate their tech into enterprise legacy systems by expediting the process of discovery + rewrite by months.", "body": "Hi, we’re Samai and Nand — Co-Founders of Axal 👋\n\nIf you're selling to a sticky product to enterprises, you've probably run into this:\n\n“We’d love to use your product, but our stack is too old...”\n\nThat’s where we come in.\n\nAxal reverse engineers legacy codebases (Java, C#) to generate **functional requirements and user stories in hours** — essentially helping your clients expedite the discovery process of their modernization. A beta version of our tool then figures out what needs to be rewritten and makes an outline for your team so you can easily rewrite their code and integrate your product. \n\nMongoDB already does this to land enterprise deals — they rewrite the client’s legacy system _just enough_ to make it so they can integrate their product and switch up the DB. Then they are sticky forever.\n\nGet setup in less than 1 hour guaranteed. \n\nAxal Demo - Creating Functional Requirement Document and User story of 30k line Java codebase \n\nhttps://www.youtube.com/watch?v=yXWTFxfw2vE\n\nWe make that process instant and repeatable so if you have a sticky product you can integrate with enterprise codebases easily.\n\n**Why it matters to you (YC founder):**\n\nYou’re not just selling software. You’re selling _change_.\n\nIf legacy tech is blocking your deal, let us unblock it — so you can close faster and look like a hero.\n\nTo get started, email me - [samai@joinaxal.com](mailto:samai@joinaxal.com)\n\nJoin the waitlist rewrite tool: ", "url": "https://www.ycombinator.com/launches/NpC-axal-legacy-code-understood-in-hours-seriously", "votes": 9, "created_at": "2025-06-24T14:50:34.452Z" }, { "id": 86865, "title": "Axal - Automate identifying and fixing architectural tech debt", "tagline": "Break down monoliths, identify tech debt, and fix it with AI at scale!", "body": "Hey everyone, I’m Nand - Founder at Axal👋\\\n\\\nWe built a tool that uses deterministic methods to **automate the hardest parts of application modernization**— identifying architectural bottlenecks and prioritizing those issues based on business value. Once the issues are broken down by Axal, AI can autonomously collaborate with your team to resolve them.\n\n# **The Problem**\n\nEveryone knows that software teams cut corners in development over time, resulting in accumulation of debt tech overtime that slows them down and raises costs. Until now, to address this problem there needed to be long modernization efforts, where stakeholders spent months finding possible solutions to the problem, if you could even find and train the team members needed to do the work. \n\n# **Our Solution: One platform for Application Modernization**\n\nAxal uses deterministic methods to provide teams with clear observability into architectural technical debt.\n\n![uploaded image](/media/?type=post&id=86865&key=user_uploads/570999/5453ac1a-0928-4ba2-91f1-665ad2c142fd)\n\nWe show tech debt scores tailored to your goals. For example, if maintainability is your focus, we display the maintainability index, aligning business impact with priorities to guide effective action.\n\nTechnical teams can leverage our graphs to gain clear insights into class-level and domain-level codebase relationships.\n\n![uploaded image](/media/?type=post&id=86865&key=user_uploads/570999/ceaeb77c-b33c-4ef2-8540-3e5fc5f564d2)\n\nArchitectural issues - domain exclusivity, circular dependencies, dead code, etc. - are automatically detected based on the goals that an organization makes, and engineers can work with Axal to assign their priority.\n\n![uploaded image](/media/?type=post&id=86865&key=user_uploads/570999/f63d172c-c479-4a22-92b6-ab40ffdd2ef7)\n\nOnce prioritized, **Axal leverages AI to autonomously address issues**, while ensuring none of the existing code breaks.\n\n![uploaded image](/media/?type=post&id=86865&key=user_uploads/570999/01d79606-ac19-4fd4-a503-aff34a23a9c8)\n\n**Demo Video** (\\* excludes technical debt scores and AI code fix demonstration)\n\n\n\n# **Our Ask**\n\nPlease reach out:\n\n\\- If you want to see your team's architectural technical debt \n\n\\- If you have a Java, C#, or Go monolithic application you want to modernize, contact us (min. 100k lines of code)\n\nPlease let us know if you have any previous connections to large to medium-sized companies undergoing application modernization\n\nLearn more at [axal.ai](http://axal.ai)", "url": "https://www.ycombinator.com/launches/Mb3-axal-automate-identifying-and-fixing-architectural-tech-debt", "votes": 117, "created_at": "2025-01-15T17:17:50.625Z" } ] }, { "id": 30417, "name": "GroundControl", "slug": "groundcontrol", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aa0a54f0fef4c64097aee43f99b1b40bf7bda56a.png", "website": "https://rungroundcontrol.com/", "all_locations": "San Francisco, CA, USA", "long_description": "GroundControl builds mission-critical software for manufacturers in highly-regulated industries (aerospace, defense, medical)\r\n\r\nOur core product automates lengthy, complex, and regulated quality documentation in aerospace manufacturing.\r\n\r\nAs an example, the Boeing 777 is made up of over 3 million parts sourced from manufacturers around the world. These manufacturers must complete quality documentation for every part on this aircraft (machined parts, printed circuit boards, wire harnesses, assemblies, and more).\r\n\r\nGroundControl helps manufacturers complete this required documentation accurately, in minutes instead of days.", "one_liner": "Vertical AI for highly-regulated manufacturing", "team_size": 8, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1744173288, "tags": [ "SaaS", "Manufacturing", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/groundcontrol", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/groundcontrol.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/groundcontrol-software/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/groundcontrol-software", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aa0a54f0fef4c64097aee43f99b1b40bf7bda56a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/73eef59fbfda87e5d1cd13179b73c4899aac89f9.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1816593, "full_name": "Mehul Shah", "title": "Founder/CEO", "founder_bio": "Spent 8 years building software for my family business in PCB manufacturing.\nNow Co-founder & CEO of GroundControl (X25).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mehulmshah22", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c066fd2aa1f87a4059440d6cc18d201337bbc4d8.jpg" }, { "user_id": 1816343, "full_name": "Matthew Noseworthy", "title": "Founder/CTO", "founder_bio": "Childhood script kiddie, ECE Undergrad, Founded/Exited inspectAR, now CTO @ GoundControl ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matthew-noseworthy-218167106/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ea6a156dd22b216a1d70d2beaea7c6e6d1c2c04.jpg" } ], "jobs": [ { "id": 111655, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/groundcontrol/jobs/AbIZrUo-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$75K - $120K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 90406, "title": "GroundControl: Vertical AI for highly-regulated manufacturing", "tagline": "We automate lengthy, complex, and regulated quality documentation in aerospace manufacturing.", "body": "Hi! We’re [**Mehul Shah**](https://www.linkedin.com/in/mehulmshah22), [**Nick Warren**](https://www.linkedin.com/in/nickcw/), [**Matthew Noseworthy**](https://www.linkedin.com/in/matthew-noseworthy-218167106/) — co-founders of [**GroundControl**](https://rungroundcontrol.com/).\n\n[**https://youtu.be/s2heFLI1R80**](https://youtu.be/s2heFLI1R80)\n\n**TL;DR** — We've onboarded 70+ manufacturing facilities as customers throughout the US. Our core product automates lengthy, complex, and regulated quality documentation in aerospace manufacturing.\n\n**How We Started**\n\nNick and Matt co-founded their last startup (InspectAR) with Mehul's brother before being acquired by Cadence ($CDNS). I (Mehul) spent the last decade in my family business, where we built PCBs for every advanced system on Earth: rockets, satellites, aircraft, fighter jets, and more. We noticed despite building for innovation, manufacturing operations were antiquated and bogged down with manual processes.\n\nFirst Article Inspection Reports (AS9102s) were creating a bottleneck in quality. Parts would be built and ready to ship, just waiting on paperwork. Our facilities were doing 15 reports a day, 8 hours per report. The worst part? Even if the part was built exactly to spec — if a single typo was found by the customer, the report would get rejected and payment delayed until the report was fixed.\n\n**What We Built**\n\nOur core product automates first article inspection reporting for regulated manufacturing. Quality teams can balloon drawings and automate inspection report generation in minutes, instead of days.\n\n**Our Vision**\n\nToday, over 70 facilities across the US generate almost 1000 reports a month on our platform. This is just the beginning. We'll continue to build for quality, and upstream towards operations, engineering, and sales to empower manufacturers with AI. GroundControl will embed itself across the global supply chain, from Tier 4 suppliers to OEMs with vertically integrated manufacturing.\n\n**Our Ask**\n\nIf you know anyone in regulated manufacturing (aerospace, automotive, medical), or their customers (OEMs like Lockheed, SpaceX, Anduril, etc.) we would love to chat. Reach us at [**founders@gndctl.com**](mailto:founders@gndctl.com) or **408-390-4460**.\n\n![uploaded image](/media/?type=post&id=90406&key=user_uploads/1816593/5a76bc6a-30b2-49fb-9e27-43c222bcab9d)\n\n", "url": "https://www.ycombinator.com/launches/NWA-groundcontrol-vertical-ai-for-highly-regulated-manufacturing", "votes": 76, "created_at": "2025-05-14T18:21:40.860Z" } ] }, { "id": 30430, "name": "Almond", "slug": "almond-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/37312e12dc6f12e2470a531052ec0e30ee697a75.png", "website": "https://almond.bot/", "all_locations": "San Francisco, CA, USA", "long_description": "We build robots for physical AI. Meet Axol - A dual-arm robot designed for real-world tasks using AI.", "one_liner": "A dual-arm robot built for physical AI.", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1745432874, "tags": [ "Hardware", "Robotics", "Manufacturing", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/almond-2", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/almond-2.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/almond-inc", "x_url": "https://x.com/almond_robotics", "fb_url": null, "cb_url": null, "github_url": "github.com/orgs/almond-bot/repositories", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/37312e12dc6f12e2470a531052ec0e30ee697a75.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 33058, "full_name": "Saba Khalilnaji", "title": "Founder/CEO", "founder_bio": "ex-DoorDash logistics engineer & ex-CTO Conduit (W23)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/saba-khalilnaji-853631241/", "x_url": "https://twitter.com/saba_khalilnaji", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/06726c32d6bbe24037817517e07713cd6f57f7ee.jpg" }, { "user_id": 1049100, "full_name": "Shawn Patel", "title": "Founder/CTO", "founder_bio": "🤖", "is_active": true, "linkedin_url": "https://linkedin.com/in/shawnpatel", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c9b2f7b4ac6a5d23217331e11b703fcb1d08bcb1.jpg" } ], "jobs": [ { "id": 86930, "title": "Founding Robotics Software Engineer", "url": "https://www.ycombinator.com/companies/almond-2/jobs/RXD2GSW-founding-robotics-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$130K - $200K", "equity_range": "0.50% - 3.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Rust", "Torch/PyTorch", "WebVR" ] }, { "id": 86932, "title": "Founding Mechanical Engineer", "url": "https://www.ycombinator.com/companies/almond-2/jobs/5NPlb6V-founding-mechanical-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$100K - $200K", "equity_range": "0.25% - 5.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "CAD Design" ] }, { "id": 95984, "title": "Assembly & Production Technician", "url": "https://www.ycombinator.com/companies/almond-2/jobs/pBOdInA-assembly-production-technician", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$25 - $40 / hourly", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102952, "title": "Founding Software Engineer", "url": "https://www.ycombinator.com/companies/almond-2/jobs/HiQT2fV-founding-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$130K - $200K", "equity_range": "0.50% - 3.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python" ] } ], "news": [], "launches": [ { "id": 102875, "title": "Axol - A dual-arm robot built for AI.", "tagline": "Axol is the robot for the teams turning physical AI into reality. ", "body": "Today, we’re launching **Axol**, a dual-arm robot built for real-world tasks.\n\n\n\nWe spent the last year deploying robots in factories and grocery stores.\n\nAnd they kept breaking.\n\nData collection was just too difficult. Reach and payload were limited. Singularities reduced our workspace. Cables failed but support was slow.\n\nThe robots we tried were built for demos, not real tasks.\n\nSo we built our own.\n\n![uploaded image](/media/?type=post&id=102875&key=user_uploads/33058/8029ac83-f0a9-4809-8bf9-f13c97c24bc6)\n\nAxol is for builders who believe robots should work, in the real world, not just staged environments.\n\nAxol’s Specs:\n\n* Extra-long 860mm reach & 4kg sustained payload\n* Joints exceeding human range of motion with fewer singularities\n* Protected cabling and robust hardware\n* Open-source SDK + data collection that works out of the box\n\nOur factory is in San Francisco so we can support teams directly and be there when it matters.\n\n**Available now.**\n\n* Axol — standalone robot\n* Axol Kit — robot + cameras + compute (start training day 0)\n\nFirst orders deliver this week.\n\nIf you're working on manipulation or physical AI, Axol is for you.", "url": "https://www.ycombinator.com/launches/QlH-axol-a-dual-arm-robot-built-for-ai", "votes": 20, "created_at": "2026-06-10T16:30:47.683Z" } ] }, { "id": 30465, "name": "Photonium", "slug": "photonium", "former_names": [ "PhotonIQ" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f9f89a3e11065395408b656b79f12f0fd9868a1.png", "website": "https://www.photoniumoptics.com/", "all_locations": "New York City, NY, USA", "long_description": "Photonium is building software to automate optical system design. We supercharge optics experts with intelligent tooling to reduce costs and deliver faster. We handle the full design stack — from optimization, verification, sourcing, to prototyping — for AR/VR, quantum, biotech, metrology/chip fab, LiDAR, and more. ", "one_liner": "AI-Powered Optical Consulting & Software", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1748388578, "tags": [ "Hard Tech", "Hardware", "Machine Learning", "B2B", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "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/photonium", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/photonium.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://linkedin.com/company/photonium-optics/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f9f89a3e11065395408b656b79f12f0fd9868a1.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": 2467765, "full_name": "Jennifer Song", "title": "Founder/CEO", "founder_bio": "Co-founder of Photonium. Quantum Computing at Harvard/Stanford/QuEra", "is_active": true, "linkedin_url": "https://linkedin.com/in/jennifer-y-song", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/727e50b2591f66ca240e53da3afda54e3a081413.jpg" }, { "user_id": 1865732, "full_name": "Adam Mhatre", "title": "Founder/CTO", "founder_bio": "Co-founder of Photonium. Computational Physics at Stanford", "is_active": true, "linkedin_url": "https://linkedin.com/in/adam-mhatre-5b8aaa230", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d9986f5f0661a450e5b754ef2c49dce90970e9db.jpg" } ], "jobs": [ { "id": 79020, "title": "Founding ML Engineer", "url": "https://www.ycombinator.com/companies/photonium/jobs/JEOfTqj-founding-ml-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $200K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Machine learning" ] } ], "news": [], "launches": [ { "id": 90808, "title": "Photonium: AI-Accelerated Optical Design Automation ⚛️", "tagline": "Design optical systems faster and cheaper.", "body": "Hey YC!\n\nWe’re [Jennifer](https://www.linkedin.com/in/jennifer-y-song) and [Adam](https://www.linkedin.com/in/adam-mhatre-5b8aaa230/) - cofounders of Photonium.\n\n**TL;DR**\n\nPhotonium automates optical system design with AI, replacing costly manual iteration with end-to-end system optimization.\n\n**🚨 The Problem**\n\nOptical systems are mission-critical across many high-growth sectors — including quantum technology, biomedical imaging, LiDAR for defense and autonomous vehicles, and metrology for semiconductor fabrication.\n\nBut designing them is a nightmare:\n\n* Companies pour millions into teams of 20+ optical engineers\n* Projects take months or years to go from R&D to production\n* Tools are fragmented and outdated\n* Optimization is manual and often based on trial-and-error\n\nEngineers spend countless hours on repetitive workflows — constrained by tools that haven’t changed in decades.\n\n**⚙️ Our Solution**\n\nPhotonium is building the electronic design automation (semiconductor EDA) for optics. We work with complex optical setups across industries and handle the entire design process — from system generation and optimization to simulation, tolerancing, and sourcing.\n\nPhotonium enables companies to:\n\n* Generate and optimize designs from product specs\n* Predict tolerance impacts without slow simulations\n* Recommend data-driven alignment and manufacturing tweaks\n* Optimize for cost, size, and performance trade-offs\n* Seamlessly integrate with existing CAD workflows and optics simulation tools\n* Automate the full design-to-sourcing pipeline\n\n[Launch Video](https://youtu.be/YvX3Xr2_Gt8)\n\n**🚀 The Team**\n\nJennifer studied physics, math, and CS at Harvard and built quantum optics experiments across Harvard, Stanford, and QuEra (a Google-backed quantum computing startup).\n\nAdam studied computational physics at Stanford, and worked on plasma simulation for fusion and large-scale astrophysical modeling of black holes.\n\nWe’ve both felt the pain of inefficient engineering design firsthand — and built Photonium to fix it.\n\n⚛️ **Why This Matters**\n\nOptical systems are foundational to cutting-edge technologies, from quantum computing to semiconductor fabrication. Yet, outdated tools and fragmented workflows slow innovation and inflate costs. We hope to eliminate these bottlenecks and accelerate innovation across industries.\n\n📣 **Our Ask**\n\nIf you know anyone working with lasers and optics in any context, we’d love to chat! Contact us at [founders@photonium.ai](mailto:founders@photonium.ai)\n\n![uploaded image](/media/?type=post&id=90808&key=user_uploads/2467765/c27811f3-aa01-4860-9682-d3136973df3e)\n\n", "url": "https://www.ycombinator.com/launches/Nce-photonium-ai-accelerated-optical-design-automation", "votes": 51, "created_at": "2025-05-28T19:10:45.827Z" } ] }, { "id": 30512, "name": "MorphoAI", "slug": "morphoai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6d184a7985bf94fb06fe3645712c7af87070512.png", "website": "https://morpho.ai/", "all_locations": "New York City, NY, USA", "long_description": "We're building an AI powered platform for engineers that are building new robots and machines. \r\n\r\nWe allow users to invent and modify machine designs in a matter of minutes, not years. Ayna and Andy, the co-founders, met during their time at Harvard and started this in 2024 as their programs were wrapping up. We're commercializing 10+ years research done by our team at Harvard and MIT on this space. Our team wrote the very first papers on applying GenAI and optimization algorithms to compose robots from parts and applying computational design to fine tune machine designs. We're bringing in our deep knowledge of modifying equipment and integrating it into factories keenly understanding what makes hardware hard. \r\n\r\nWe take in parts under consideration, constraints and tasks at hand and our algorithm formulates and fine tunes from 100s of possible design options. All in a few clicks, so engineers can push hardware to market faster and companies can benefit from the inventions being done by their R&D teams. We already have two paying customers in the OEM and system integrator spaces. \r\n\r\nWe are venture backed and supported by a GBP 2.5MM grant by ARIA, the UK Government's invention agency. ", "one_liner": "Software tool for designing robots and machines ", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1746718035, "tags": [ "Robotics", "Manufacturing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "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/morphoai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/morphoai.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/morphoai/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6d184a7985bf94fb06fe3645712c7af87070512.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2358627, "full_name": "Ayna Arora", "title": "Founder/CEO", "founder_bio": "Building an AI Powered CAD platform for robotics and machine engineers. Backed with a grant from the UK government. Founded 2 businesses in manufacturing tech previously, setting up factories each time (one of them is now series B). Former VC (software, manufacturing, and CPG focus). Harvard MBA / Industrials + Manufacturing undergrad. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aynaarora/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fbb25788fb7817f3b1da61f3e473e82d22cc0557.jpg" }, { "user_id": 2225896, "full_name": "Andrew Spielberg", "title": "Founder/CTO", "founder_bio": "\n\nCTO of MorphoAI - interested in simulation methods, design algorithms, and digital manufacturing processes.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andrew-spielberg-82073926a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9ce7186cd93e4275f6a302f4199728c7a03d3d3a.jpg" } ], "jobs": [ { "id": 76272, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/morphoai/jobs/aTiZdB8-founding-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "£40K - £110K GBP", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "C#", "Python", "Torch/PyTorch", "Reinforcement learning (RL)", "Unity", "GPU Programming", "Software Architecture", "CAD Design" ] }, { "id": 97107, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/morphoai/jobs/VvPeGQK-chief-of-staff", "location": "London, England, GB", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "£30K - £45K GBP", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 90214, "title": "MorphoAI - AI‑powered computer‑aided invention for robotics and machine engineering", "tagline": "Turn parts and task requirements into working machine designs in minutes, not years.", "body": "We’re Ayna and Andrew, and we’re building [MorphoAI](https://morpho.ai/). We’re a team of manufacturing tech experts and MIT PhDs who have written 30+ papers on foundational research of AI design methods for robotics engineering. We met at Harvard last year and decided to help people develop hardware at the speed of software. \n\nIn our research, we demonstrated capabilities that allowed engineers to generate 100s of verified optimal designs from parts and task requirements in minutes, and now we’re translating those findings to a product for robotics & automation. We’re cutting R&D cycles by 50 %+ and letting teams ship better hardware, faster!\n\nhttps://www.youtube.com/watch?v=iGmXIsoUc2Y&feature=youtu.be\n\n### **Problem**\n\nDesigning a new robot, machine, or work‑cell still feels like 1985: weeks of manual CAD drawing, long prototype‑and‑test loops, and “does it even work?” uncertainty. A single product can take 40‑100 iterations and burn through months of engineering time. This all amounts to $240B spent on mechanical design each year. https://www.morpho.ai/ \n\n### **Our Take**\n\nWhat if you could take requirements and ideas into _validated machine designs_ automatically? We’re building that for hardware—so engineers can explore more, better-performing designs, fine-tune the ones likely to work, and land on an optimal design before the first part is cut. Engineers input and tasks and constraints (_what the robot must do)_ and their favorite parts to build with, and MorphoAI’s software auto‑generates, verifies, and fine tunes manufacturable designs in minutes—cutting R&D cycles by 50 %+ and letting teams ship new hardware faster. \n\n### **The MorphoAI Platform**\n\n1. **Generate** hundreds of verified design candidates from parts and task requirements in minutes, and select the concepts to fine-tune.\n2. **Simulate** full‑dynamical behavior with optimal, verified controllers.\n3. **Optimize** for cost, performance, weight, manufacturability, and more.\n\nThe result is a ready‑to‑manufacture machine design, programmable motions, and BOM—delivered in minutes, not months.\n\n### **Team**\n\n* **Ayna Arora** (CEO, Co-founder) – Harvard Business School; Former VC, 2x founder in manufacturing tech setting up factories across the world.\n* **Andy Spielberg, PhD** (CTO, Co-founder) – MIT CSAIL; Harvard PostDoc (digital manufacturing). 30+ papers on Optimization algorithms in robotics design.\n* Founding team: Allan Zhao (MIT PhD on GenAI for robot design), Amira Abdel-Rahman (Havard + MIT PhD on design for hardware) Han Wang (simulation expert in research+industry).\n\nWe’re also backed by ARIA (UK Government’s Invention Agency) with a 2.5MM GBP Grant.\n\n### **What’s Possible Today**\n\nOur early users are:\n\n* Resizing robot geometry and motors to maximize reach and payloads.\n* Redesigning workcells to minimize costs, design time, and improve margins.\n* Auto-generating new end-of-arm tooling designs from parts in hours, not weeks\n\n### **Big Picture**\n\nMorphoAI is the “compiler” for the physical world. As we expand our capabilities, any company will be able to invent machines that were previously infeasible— shrinking $MM R&D budgets and accelerating everything from factory automation to medical innovation to planetary exploration.\n\n### **Let’s Talk**\n\nBuilding a new robot or a new cutting-edge machine? We’d love to talk. Drop us a note at [**hello@morpho.ai**](mailto:hello@morpho.ai) .", "url": "https://www.ycombinator.com/launches/NT4-morphoai-ai-powered-computer-aided-invention-for-robotics-and-machine-engineering", "votes": 24, "created_at": "2025-05-08T17:40:20.776Z" } ] }, { "id": 30516, "name": "Bramante", "slug": "bramante", "former_names": [ "LabKick Corporation", "LabKick", "Bramante Biologics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d13627b06670d3337bda071d8e7bccb8d6728ffd.png", "website": "https://www.bramantebio.com", "all_locations": "Boston, MA, USA", "long_description": "We make reagents and software that are purpose built for AI, automated labs, and personalized medicines.", "one_liner": "Life sciences reagents and software", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1747846039, "tags": [ "Biotech", "Manufacturing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/bramante", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/bramante.json", "year_founded": 2024, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bramante-biologics/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d13627b06670d3337bda071d8e7bccb8d6728ffd.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": 547597, "full_name": "Scott Stankey", "title": "Founder/CEO", "founder_bio": "Manufacturing pharmaceutical drugs faster and in the USA", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/scottstankey/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2a50a3cd953745835aea2bed4130d7bb9709bcae.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90667, "title": "Bramante Biologics - American drug manufacturing", "tagline": "Manufacturing pharmaceutical drugs faster and in the USA", "body": "We manufacture pharmaceutical drugs faster than current methods and in the USA. We are building microfactories that can handle the upcoming wave of AI-designed drugs and safeguard against biothreats.\n\n[Launch Video](https://www.youtube.com/watch?v=W_lJOs7k7nI)\n\n### **The Problem**\n\nAmerica is at risk of ceding leadership in advanced biomanufacturing to China.\n\n* **Drug manufacturing is moving to China;** 79% of US biotech and pharma companies already have at least one contract with a Chinese firm, _primarily because they are faster._\n* **China is investing billions in biotech**; one third of new compounds licensed by US pharma are now _discovered and manufactured_ in China, up from almost none five years ago.\n* **Over-reliance on foreign biomanufacturing is a national-security risk;** agile, on-shore manufacturing is critical to protect our nation against future biothreats.\n\n### **Our Solution**\n\nA contract development and manufacturing organization (CDMO) for advanced drugs, rebuilt from the ground up to address the future of America’s biomanufacturing needs.\n\n* **Faster biomanufacturing**; Our platform leverages advanced methods to accelerate production timelines and de-risk scale-up.\n* **Modular container factories**; our form factor is a standard shipping container that can be brought up to operation in roughly two weeks and shipped where it is needed.\n* **Supply-chain independence;** by vertically integrating and manufacturing critical equipment in-house, we secure production against global disruptions.\n\n### **Why It Matters**\n\n* **Drugs can be developed faster**; shorter production cycles move life-saving drugs from the lab to the clinic up to a year sooner.\n* **More drugs can be developed**; we will be able to manufacture the thousands of low-volume, personalized biologics that will be designed by AI.\n* **Strengthening US autonomy;** rapid-deploy, U.S.-based capacity protects the nation from supply shocks, geopolitical turbulence, and potential bioweapons.\n\n### **Who We Are**\n\nWe love biomanufacturing. Together, we built Protein Evolution, an industrial biotech company that turned plastic waste into new textile fibers. Scott is ex-McKinsey and a Yale mathematician (he loves a good cost model almost as much as he loves America). Mike earned his PhD in Bioengineering from Penn after completing Penn’s M&T program in undergrad (he builds DNA, software, and bioreactors).\n\n### **Our Ask**\n\n**Please reach out** if you work in drug development, work at a CDMO, or have experience working with or at the FDA: [**founders@bramantebio.com**](mailto:founders@bramantebio.com)\n\n**Follow along** on our journey:\n\n* [**www.bramantebio.com**](http://www.bramantebio.com)\n* [**www.linkedin.com/company/bramante-biologics**](http://www.linkedin.com/company/bramante-biologics)\n\n![uploaded image](/media/?type=post&id=90667&key=user_uploads/547597/1ed9b2f2-f6d9-4253-b3b0-f7561d246977)\n\n_Let’s build the infrastructure tomorrow’s medicine deserves, right here at home._", "url": "https://www.ycombinator.com/launches/NaN-bramante-biologics-american-drug-manufacturing", "votes": 45, "created_at": "2025-05-23T16:36:11.138Z" } ] }, { "id": 30526, "name": "chrt", "slug": "chrt", "former_names": [ "CHRT, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b277e76a793543c1eca6d025b35d9a2909a75cd2.png", "website": "https://chrt.com", "all_locations": "Los Angeles, CA, USA", "long_description": "chrt is a logistics platform for time-critical shipping. We enable businesses to deliver their most critical items same-day.\r\n\r\nTime-Critical Logistics is a $30B market growing at a 20% CAGR driven by growth in American healthcare and manufacturing.\r\n\r\nBusinesses that place time-critical orders are enterprises who have urgent items they need to deliver ASAP. These orders are critical in nature and often require white glove service -- think therapeutic treatments for healthcare providers or specialized equipment for manufacturers. \r\n\r\nchrt builds the software for forwarders and professional couriers who pick up and deliver these orders. Couriers use chrt to coordinate and track their shipments, including a driver app and fleet management tools. Forwarders use chrt to dispatch couriers, book flights, and track time-critical orders from start to finish. Shippers use chrt to place these orders with their providers and to monitor everything. \r\n\r\nIn addition, we also sell physical tracking devices that can be used to track valuable cargo or assets.\r\n\r\nThis gives us full control of the shipment and allows us to provide shippers with end-to-end tracking. It also allows us to intervene early if we notice something is going wrong.\r\n\r\nWe’re software engineers that became friends years ago at McKinsey. Kyle is an expert in Time-Critical Logistics, having led strategy at a leader in the space. Aaron is an expert at designing and implementing AI systems to handle complex coordination. We were shipping code together on nights and weekends for years before chrt; now we’re also shipping freight.", "one_liner": "chrt is a logistics platform for time-critical shipping", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1747152745, "tags": [ "Autonomous Shipping", "Logistics", "Healthcare", "Manufacturing", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/chrt", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/chrt.json", "year_founded": 2025, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/chrt-inc/", "x_url": "https://x.com/chrt_inc", "fb_url": null, "cb_url": null, "github_url": "https://github.com/chrt-inc", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b277e76a793543c1eca6d025b35d9a2909a75cd2.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": 1381778, "full_name": "Kyle Reagan", "title": "Founder/CEO", "founder_bio": "Software engineer, Co-founder and CEO of chrt, building a platform for Time-Critical Logistics operated by AI agents.\n\nPreviously, Kyle led Strategy at a Series C Time-Critical Logistics startup, scaling the company 4x and working closely with dozens of enterprise customers, like J&J and Boeing. \n\nKyle studied Mechanical Engineering and Mathematics and builds web and mobile apps.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kyle-reagan-surfs", "x_url": "https://x.com/based_kyle_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/429bd3223121ffb319b044d3d3f3e4943051dd91.jpg" }, { "user_id": 679049, "full_name": "Aaron Carver", "title": "Founder/CTO", "founder_bio": "Software developer, Co-Founder and CTO of chrt - a platform for Time-Critical Logistics operated by AI agents.\n\nAaron is an expert in the web stack. He's worked at a YC company as a full stack developer and deployed many full-stack side projects. He's also trained from-scratch AI/ML models, deployed NLP microservices, and hosted LLMs in high-security environments for clients like the DoD.\n\nAaron studied Chemical Engineering and Computational Science.", "is_active": true, "linkedin_url": "https://linkedin.com/in/aaroncarver", "x_url": "https://x.com/aaronmaxcarver", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e1a3daefabd886020fbe3b7aeffb8233d41baff.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90745, "title": "📦 chrt – Logistics Platform for Time-Critical Shipping", "tagline": "We enable businesses to deliver their most critical items same-day with full visibility", "body": "Hi everyone! We are [Kyle](https://www.linkedin.com/in/kyle-reagan-surfs/) and [Aaron](https://www.linkedin.com/in/aaroncarver/), co-founders of [chrt.com](https://chrt.com). We’re helping businesses deliver and track their most critical same-day shipments.\n\nhttps://youtu.be/EJfOqCY06rw\n\n**🎯 Who is it for?**\n\n* Industrial manufacturers and healthcare companies that need white-glove, same- or next-day delivery with live tracking — for shipments such as life‑saving therapeutics or mission‑critical production parts\n* Courier companies and freight forwarders that want to provide their customers with end-to-end tracking and custom workflows\n\n**⛔️ Problem:**\n\n* Businesses shipping critical items depend on outdated freight forwarders\n* Two-thirds of these forwarders’ staff are call-center agents coordinating shipments across thousands of professional courier companies\n* Call center agents rely on phone and email to reach couriers\n* With no real-time tracking, shipment status is unknown, causing frequent failures and delays\n* Your life-or-death shipment? Tracked worse than a pizza\n\n**✅ Solution:**\n\n![uploaded image](/media/?type=post&id=90745&key=user_uploads/1381778/dc006314-7ec3-4274-afff-89ca44a92b31)\n\nchrt is the all-in-one platform for time-critical logistics\n\n* 📦 Businesses place urgent shipments on [**chrt.com**](http://chrt.com)\n* 🚛 chrt matches a vetted provider for pickup and delivery\n* 📱 Couriers execute the job entirely through chrt’s mobile app\n* 📍 Real-time tracking and custom workflows provide complete shipment visibility\n* ⚡ Automation slashes overhead, delivering faster, cheaper, and more reliable service\n\n**🙋‍♂️ About us:**\n\nWe’re software engineers that became friends years ago at McKinsey. Kyle is an expert in time-critical logistics, having led strategy at a leading startup in the space. Aaron led gen AI deployment projects at Deloitte, launching AI projects for clients like the Department of Defense. We were shipping code together on nights and weekends for years before CHRT; now we’re also shipping freight.\n\n**🙌 How to help us:**\n\n**If you have or handle time-critical shipments (or know someone who does) we would love to get connected**. We’ll help you ship your most complex and important orders same-day.\n\n📧 Email us: [**founders@chrt.com**](mailto:founders@chrt.com)\n\n![uploaded image](/media/?type=post&id=90745&key=user_uploads/1381778/7e53965b-b0da-4f03-b2fa-d57d74b931d1)\n\n", "url": "https://www.ycombinator.com/launches/Nbd-chrt-logistics-platform-for-time-critical-shipping", "votes": 80, "created_at": "2025-05-27T15:37:13.489Z" } ] }, { "id": 30540, "name": "Lumari", "slug": "lumari", "former_names": [ "Rextly" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/12837739c0d64330042216a7aa87b32fd0deb815.png", "website": "https://www.lumari.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Lumari is the world's first AI-powered procurement automation platform purpose-built for direct materials and supply chain execution. \r\n\r\nBacked by Y Combinator, Lumari is a well-funded startup that deploys 100s of always-on AI agents that run sourcing workflows, manage RFQs, expedite purchase orders, and coordinate supplier communication end-to-end -- compressing cycle times and giving teams full visibility into active orders, RFQs, and supplier performance.\r\n\r\nFounded by engineers from Google, Tesla, Amazon, and Stripe who have built and scaled supply chain systems serving millions of users. \r\n\r\nBuilt to operate directly on top of existing tools and ERP systems, Lumari helps procurement teams move faster, eliminate operational bottlenecks, and build more resilient supply chains. No rip-and-replace, no supplier onboarding. Lumari handles the manual chase: quote follow-ups, PO confirmations, delivery status updates, and risk escalation.\r\n\r\nLumari helps companies from Fortune 500s to fast-growing startups automate work from sourcing to delivery, streamline supplier communication and order management, and bring full visibility to their procurement operations.\r\n\r\nTo learn more check out https://lumari.ai/", "one_liner": "AI Digital Workers for Supply Chain ", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1747084472, "tags": [ "B2B", "Manufacturing", "Supply Chain", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lumari", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/lumari.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lumari-io", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/12837739c0d64330042216a7aa87b32fd0deb815.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1755497, "full_name": "Eshani Mehta", "title": "Founder/CEO", "founder_bio": "Co-founder @ Lumari, re-imagining the future of supply chain. Ex-Stripe engineer.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eshanimehta/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/87dfe945f1e425941d65061c450d67e488db7554.jpg" }, { "user_id": 526569, "full_name": "Sam Lamba", "title": "Founder/CTO", "founder_bio": "Building Lumari! Previously at Google, Amazon, Tesla", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samarthlamba", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/22695c558455111f087a54e7ac9de735f2b5fe75.jpg" } ], "jobs": [ { "id": 87969, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/lumari/jobs/EaQMR7l-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $170K", "equity_range": "0.20% - 3.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Python", "React", "TypeScript" ] }, { "id": 92320, "title": "Former Founders", "url": "https://www.ycombinator.com/companies/lumari/jobs/XuEG5NT-former-founders", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $160K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 93602, "title": "Founding Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/lumari/jobs/y8Reyou-founding-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $170K", "equity_range": "0.25% - 3.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 90564, "title": "Lumari - AI Digital Workers for Supply Chain", "tagline": "We enable supply chain teams to automate manual work with always-on AI teammates that monitor, coordinate, and take action.", "body": "Hey everyone! We’re [Sam](https://www.linkedin.com/in/samarthlamba/) and [Eshani](https://www.linkedin.com/in/eshanimehta/), the co-founders of Lumari 🔥\n\n**TL;DR:** Lumari is AI-powered procurement automation for direct materials and supply chain. We deploy **100s of always-on AI agents** that run sourcing workflows, manage RFQs, expedite purchase orders, and coordinate supplier communication end-to-end.\n\n### **The Problem ❌**\n\nSupply chain teams are stuck in reactive mode.\n\n* Buyers spend their days copy-pasting between email, spreadsheets, and ERPs, chasing supplier quotes, following up on late POs, and manually entering delivery updates\n* Missed delivery dates and poor visibility lead to expediting costs, production delays, and revenue risk\n* Existing tools require suppliers to adopt new portals and force rigid workflows that don't reflect how teams actually operate\n* There's too much operational work and not enough time for strategic decision-making\n\n### **Lumari’s Solution ✨**\n\nLumari brings autonomous agents to supply chain and acts as a **force multiplier** for the team.\n\n* **Automates** the manual chase across the entire procurement lifecycle, from RFQs to PO tracking to supplier follow-ups\n* Compresses cycle times and gives teams full **visibility** into active orders, RFQs, and supplier performance\n* Operates directly on top of **existing tools** (ERP, email, Slack, Excel) with no rip-and-replace and no supplier onboarding\n* Teams are always in **control** with configurable guardrails and approval layers for every action\n* **Customize** your agent behavior and configuration in plain English\n\nWe **partner** closely with every customer to adapt our agents to their specific processes and systems, from **Fortune 500s** to fast-growing scale-ups.\n\n### **The Team**\n\n![uploaded image](/media/?type=post&id=90564&key=user_uploads/1755497/3a1a90ce-6ebb-49fc-8c0e-6b1cd98be8fb)\n\n[Sam Lamba](https://www.linkedin.com/in/samarthlamba/) is an ex-Google engineering lead who led the development of AI-driven products that scaled to millions of weekly enterprise users, and has received 2 AI patents. Sam also previously worked at Amazon and Tesla and holds a degree in Electrical and Computer Engineering and Computer Science from Duke University.\n\n[Eshani Mehta](https://www.linkedin.com/in/eshanimehta/) was previously at Stripe leading payments intelligence products handling $XXX million in volume. She also previously worked at Robinhood and Snap and studied Computer Science at UC Berkeley. \n\n### **Our Ask**\n\n* 📅 [Book a meeting](https://cal.com/team/lumari/lumari-demo) with us if this could be useful for you or your team\n* Follow us on [LinkedIn](https://www.linkedin.com/company/lumari-io)!\n* Check us out at [lumari.ai](http://lumari.ai) or read lumari.ai/blog to understand the problem better", "url": "https://www.ycombinator.com/launches/NYi-lumari-ai-digital-workers-for-supply-chain", "votes": 128, "created_at": "2025-05-20T18:06:51.257Z" } ] }, { "id": 30542, "name": "Linewise", "slug": "linewise", "former_names": [ "Comply Genie", "Vision Nexus", "LineWise", "Vision Lab" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2b6523fd3e82e786169b750e69bb81160c422bc6.png", "website": "https://linewise.io/", "all_locations": "San Francisco, CA, USA", "long_description": "We capture how physical things are made, from the first design to the final assembly, and turn it into training data for frontier AI and robotics models.", "one_liner": "Industrial data layer for physical RSI", "team_size": 25, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1743036496, "tags": [ "Robotics", "Manufacturing", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/linewise", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/linewise.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/linewise-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2b6523fd3e82e786169b750e69bb81160c422bc6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/27f8fa04b65e99bdb2ebabb86e73fd71f35f9bb5.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/35658d6d055e51d7f572f0d0813d8eb3a9b7bf76.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2371704, "full_name": "Tanachart (James) Kujareevanich", "title": "Founder/CEO", "founder_bio": "James is the co-founder and CEO at Vision Lab. MBA from MIT. Former McKinsey Ops consultant.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tanachartkujareevanich/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a51605bd53380345564966573f52709d42356d3c.jpg" }, { "user_id": 2373140, "full_name": "Zhichu Ren", "title": "Founder/CTO", "founder_bio": "Zhichu is the co-founder and CTO at Linewise. MIT PhD. Built robotics automation for materials research.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zhichu-ren/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/98ef468f54a1e6b309dcae7ccfd3531eacb003e8.jpg" }, { "user_id": 2547908, "full_name": "Will Wenbo Zhang", "title": "Founder/CPO", "founder_bio": "Will is the co-founder and CPO at Linewise. MSE in AI & Robotics at UPenn GRASP Lab. Former founding engineer at Greyscale AI and Bestmow.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/wenbo-zhang6", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dae0fb87a14c53d5de2764acef1e34263c5c100a.jpg" } ], "jobs": [], "news": [ { "title": "Vision lab raises $6m to bring real-world factory data to robotics foundation models · vision lab", "url": "https://thevisionlab.ai/articles/seed-2026", "date": "Jun 15, 2026" }, { "title": "Race Capital - Our Investment in Vision Lab: The Industrial Data Layer for Physical AI", "url": "https://race.capital/blog/our-investment-in-vision-lab-the-industrial-data-layer-for-physical-ai", "date": "Jun 15, 2026" } ], "launches": [ { "id": 99007, "title": "Vision Lab: The Industrial Data Layer for Robotics", "tagline": "Aggregating the Largest Manufacturing Process Data for Robotics Training", "body": "## **TL;DR**\n\nWe capture and structure real factory workflows at scale, pairing first-person industrial video with SOP-level process knowledge, so robotics and AI labs can train models on the data that actually exists inside production environments, not just lab demos. We are already working with 2 frontier AI labs.\n\n🎥 **Our 60-second Product Launch**:\\\n\n\n## **THE PROBLEM**\n\nThe robotics industry is being trained mostly on lab demos, even though robots will ultimately need to operate in messy, high-variance real factories. The industry has **less than 0.3% of the data it needs**, and almost none of it comes from real factory environments.\n\nWhy?\n\n**Industrial data does not exist at scale**\\\nIt cannot be scraped or passively collected. It has to be captured inside real factories, on real production lines, during real operations.\n\n**Raw footage is not enough**\\\nUnstructured industrial video is noise. Models need process context: what step is happening, in what order, with what tools, and whether it was done correctly.\n\n**Crowdsourcing cannot solve it**\\\nUnderstanding industrial actions requires factory expertise. Anyone can label an object; far fewer can distinguish whether a torque check, weld, inspection, or setup sequence was performed correctly.\n\n---\n\n## **THE SOLUTION**\n\nVision Lab solves the industrial data problem by building:\n\n**The most diverse industrial dataset**\\\nSOP-structured production data spanning cutting-edge environments like biotech, EV manufacturing, semiconductors, and medical devices, as well as large-scale manufacturing.\n\n**Industrial access at scale**\\\nA network of **2,000+ factories across 50+ industries in 27 countries**, with operators and factory owners embedded in the capture process so every sequence, tool, and technique is recorded correctly at the source.\n\n**A proprietary VLM for industrial settings**\\\nA temporal VLM trained on SOP-paired industrial footage to understand not just what is happening, but the **order, timing, and correctness** of real industrial processes. Our state-of-the-art VLM outperforms Gemini by **2.5x on temporal understanding in industrial settings**.\n\n---\n\n## **PARTNER WITH US**\n\nIf you believe the next decade of robotics and world models will depend on **real-world industrial data, not just compute**, we’d love to talk.\n\nVision Lab partners with robotics labs, frontier AI teams, and manufacturers to build the default industrial data layer for robotics.\n\n**Contact:** [founders@thevisionlab.ai](mailto:founders@thevisionlab.ai)\\\n**More info**: [www.thevisionlab.ai](http://www.thevisionlab.ai)\n\n![uploaded image](/media/?type=post&id=99007&key=user_uploads/2371704/81b524d4-30fd-40cf-9b55-6cacc2bcaffb)\n\n", "url": "https://www.ycombinator.com/launches/Pkt-vision-lab-the-industrial-data-layer-for-robotics", "votes": 18, "created_at": "2026-03-23T17:15:21.041Z" }, { "id": 90196, "title": "LineWise - AI Copilot for Manufacturers", "tagline": "AI that troubleshoots your production line", "body": "### **TL;DR**\n\nLineWise is building an AI assistant for manufacturing teams to get their production lines back up and running - fast.\n\nWe connect siloed factory data (PLCs, maintenance logs, manuals) to triage faults, guide technicians to fixes, and capture every resolution for smarter troubleshooting in the future.\n\n🎥 **Our 60-second Product Launch:\\\n[https://youtu.be/DfnmQ4k8q-k](https://youtu.be/DfnmQ4k8q-k)**\n\n### **THE PROBLEM**\n\nWhen a line goes down, it can take **hours** to identify the problem. Engineers and technicians chase PLC logs, flip through outdated manuals, and rely on the one person who “just knows.” While production stalls, tribal knowledge disappears, and the same issues repeat.\n\n### **THE SOLUTION**\n\nLineWise centralizes critical knowledge by integrating siloed data from IoT sensors, maintenance records, and machine manuals. It ranks the most likely causes and guides the team to a fix in just **minutes**. But the best part? It remembers every issue for next time and advocates for preventative actions.\n\n---\n\n### **How LineWise Works**\n\n🔧 Upload an error code image or describe the issue in a message.\n\n🤖 The AI provides a refocused problem statement for confirmation.\n\n📊 The AI dynamically ranks possible hypotheses of causes by probability.\n\n🧠 A human validates each hypothesis to identify the true cause.\n\n🛠️ Resolve the issue by following a step-by-step guide.\n\n🔍 Conduct further investigation to uncover the root cause.\n\n📚 Enrich the knowledge base with insights from the issue and resolution.\n\n---\n\n### **Join Us to Revolutionize Manufacturing**\n\nLineWise partners with forward-thinking manufacturers to minimize unplanned downtime, empower frontline teams, and unlock the value of siloed data within a company. \n\nIf that sounds like you, we’d love to talk.\n\n🔧 **Want to see LineWise in action?** Contact: [info@linewise.io](mailto:info@linewise.io)\n\n![uploaded image](/media/?type=post&id=90196&key=user_uploads/2371704/9ed0ed2e-2221-436f-8407-534f1abd18a2)\n\n", "url": "https://www.ycombinator.com/launches/NSm-linewise-ai-copilot-for-manufacturers", "votes": 37, "created_at": "2025-05-07T23:13:06.095Z" } ] }, { "id": 30560, "name": "Foundation Industries", "slug": "foundation-industries", "former_names": [ "Sava Robotics", "SAVA Robotics", "SAVA" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9c4d6c7b4eeb36609b87bd95a70ffca51164330.png", "website": "https://www.foundation-industries.com/", "all_locations": "San Francisco, CA, USA", "long_description": "For the first time in decades, fast, flexible domestic production can be economically superior. We’re rebuilding America’s productive edge through low-volume, high-mix manufacturing, helping hard-tech teams prototype faster, launch sooner, and build more here.\r\n\r\nIf you want to restore American productive power and ship real hardware, reach out.\r\n\r\njakob@foundation-industries.com", "one_liner": "We supply hard tech companies with critical components.", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1746512449, "tags": [ "Manufacturing", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/foundation-industries", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/foundation-industries.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/foundationindustries", "x_url": "https://x.com/FoundationManf", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9c4d6c7b4eeb36609b87bd95a70ffca51164330.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": 2108415, "full_name": "Jakob Knudsen", "title": "Founder/CEO", "founder_bio": "Foundation Industries", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jakob-knudsen5/", "x_url": "https://x.com/jakeknudsen5", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c19f49e7d9079c7700665e2d222b6f56c230569d.jpg" } ], "jobs": [ { "id": 103215, "title": "Mechanical Engineer", "url": "https://www.ycombinator.com/companies/foundation-industries/jobs/oPXFpCs-mechanical-engineer", "location": "Belmont, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$100K", "equity_range": "0.25% - 0.75%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 109292, "title": "Head of Software", "url": "https://www.ycombinator.com/companies/foundation-industries/jobs/5FZ1jII-head-of-software", "location": "Belmont, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $175K", "equity_range": "0.25% - 0.75%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116836, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/foundation-industries/jobs/Rbf2oEW-software-engineer", "location": "Belmont, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "0.12% - 0.25%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30697, "name": "Normal", "slug": "normal", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6cbae55e86532c01c20d7392309f9280f190548.png", "website": "https://www.normal.ai", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Applied research lab for hardware design", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1754954871, "tags": [ "Hardware", "Manufacturing", "AI", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/normal", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/normal.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/normal-factory/", "x_url": "https://x.com/normalfactoryco", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6cbae55e86532c01c20d7392309f9280f190548.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 924433, "full_name": "Anson Yu", "title": "Founder/President", "founder_bio": "Co-founder of Normal. Prev Engineering at Waterloo, Notion, and Fuse. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anson-yu-231336141/", "x_url": "https://x.com/ansonyuu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/111def3366aa26f16637d3474604f94b8c41e0fb.jpg" }, { "user_id": 988784, "full_name": "Hudhayfa Nazoordeen", "title": "Founder", "founder_bio": "Co-founder of Normal. Previously worked at Cohere and Xanadu", "is_active": true, "linkedin_url": "https://linkedin.com/in/hudzah", "x_url": "https://x.com/hud_zah", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3be7710c51837de29c856181076199ec36dd552f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93193, "title": "Normal - Vanta for Hardware", "tagline": "Automated hardware testing & compliance, saving 50x the time", "body": "LLMs have made building hardware easier, proving it's safe to sell is still hard. We automate hardware certification: from drones to robots. Cutting compliance hours for teams 50x.\n\n[normalfactory.com](https://www.normalfactory.com/?utm_source=yc)\n\nhttps://youtu.be/51bFkdSyNvA\n\n**The Problem:**\n\n* **Certification are critical, non-core work** - Teams (often the Chief Engineers) spend days parsing standards\n* **It’s not clear what you actually need** - Compliance can be opaque, often requiring expensive consultants to decipher\n* **Labs take long to book** - Third party labs can be unresponsive without insider connections\n* **You can’t sell without them** - Not having the right certifications is gating \n\n![uploaded image](/media/?type=post&id=93193&key=user_uploads/924433/aec806d9-2cec-478e-ba2b-439ce1457d93)\n\n**What We’re Building:**\n\n* **Certification roadmap to sell:** Clear, market‑specific path (what to test, in what order, and why)\n* **Automated lab bookings & logistics:** We handle scheduling, sample coordination, and paperwork end‑to‑end\n* **Live test tracking:** Visibility into progress, blockers, and results\n* **Technical file generation:** Auto‑assembled technical files and audit packs ready for submission\n\n![uploaded image](/media/?type=post&id=93193&key=user_uploads/924433/3465b07b-7851-4f77-a0d8-52a840973ea9)\n\n**Who We Are**\n\nEngineers of both software and hardware! We’re Waterloo grads, previously working at AI labs, published in Nature for pulsed power research, and going extremely viral on the internet.\n\n**OUR ASK: Do you know of any hardware teams looking to spend less time on compliance? Please connect us!**\n\nWe’ve helped teams go from 0 to fully certified in weeks. We are now serving hardware teams for FCC / CE / UL / ASTM at [normalfactory.com](https://normalfactory.com?utm_source=yc) or [founders@normalfactory.com](https://mailto:founders@normalfactory.com)!", "url": "https://www.ycombinator.com/launches/OF7-normal-vanta-for-hardware", "votes": 29, "created_at": "2025-08-20T17:07:25.899Z" } ] }, { "id": 30781, "name": "Duranium", "slug": "duranium", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2a84608596d6e85a1a64227a175491ef9496eb22.png", "website": "https://www.duranium.co/", "all_locations": "San Francisco, CA, USA", "long_description": "China and Russia control the world’s critical minerals. We can produce Titanium, Magnesium, Aluminum, Zirconium & Hafnium in the U.S. more profitably than any existing process, and carbon neutrally via co-production.\r\n\r\nCarbochlorination is the primary process for producing critical metals like titanium, hafnium, and zirconium, and was once the standard for magnesium. The problem: conventional carbochlorination relies on purchasing carbon feedstocks, wastes valuable byproducts, and is highly CO₂-intensive.\r\n\r\nDuranium changes this with a novel reactor that recycles CO₂ emissions back into feedstock (CO) while generating a valuable co-product (bleaching agents). This closed loop slashes emissions and delivers Chinese-level metal pricing without subsidies — unlocking the full potential of carbochlorination for U.S. critical mineral production.", "one_liner": "Reshoring critical metal production", "team_size": 12, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1757191317, "tags": [ "Manufacturing", "Advanced Materials", "ClimateTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/duranium", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/duranium.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/duraniumlabs/about/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2a84608596d6e85a1a64227a175491ef9496eb22.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4f169782511f31df122e36a7e40d55cfbfe2dda3.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2509424, "full_name": "Brenden Prins-McKinney", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Duranium, working to reshore critical metal production. Previously a consultant with McKinsey & Co. in D.C., where I advised the DoD on reshoring critical chemical production. Graduate of Stanford Law School where I was a Knight-Hennessy Scholar.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brenden-prins-mckinney-96959a69/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/af5542d9d05f59e1ba7fd4a89578786de67eb41e.jpg" }, { "user_id": 2570104, "full_name": "Berkley Noble", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of Duranium, working to reshore critical metal production. My expertise lies in molten-salt electrolysis. I hold a a patent for an electrochemical metal cell and built the only U.S. pilot magnesium electrolyzer in the last 20+ years.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/berkleynoble/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d7b8cdd1d6993ae48c6b620e0d011ff39d018a5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93706, "title": "Duranium — Reshoring critical metal production", "tagline": "Reshoring critical light-weight metal production (Ti, Mg, Al, Zr, Hf) — more profitably than any other method through modernized carbochlorination and co-production.", "body": "![uploaded image](/media/?type=post&id=93706&key=user_uploads/2509424/cab46185-5d50-4822-bf45-873f52ae6571)\n\n**TL;DR** — **China and Russia control world’s critical minerals. We can produce Titanium, Magnesium, Aluminum, Zirconium & Hafnium in the U.S. more profitably than any existing process, and carbon neutrally. On track to supply 12% of U.S. magnesium by 2029, at 50%+ EBITDA margins (@ world’s lowest mkt prices).**\n\nHi all, we’re Berkley and Brenden of Duranium, and we’re delivering American critical mineral independence with a light-weight metal production process that competes globally without subsidies. As brothers-in-law, we’re passionate about rebuilding the U.S. industrial base — not through taxes and subsidies, but through real technological innovation. Our mission is to help America reclaim its place as the world’s greatest builder of _tangible_ things.\n\n# ❌ The Problem\n\nMagnesium, titanium, aluminum, hafnium, and zirconium are all listed on the DOE’s Critical Minerals List, with magnesium ranked among the highest in both supply risk and strategic importance to U.S. energy security. _The U.S. has zero domestic magnesium production and no titanium sponge production — yet both are indispensable for fighter jets, missiles, satellites, rockets, and advanced aerospace systems._ \n\nChina and Russia control \\~97% of magnesium and \\~90% of titanium production (directly or indirectly). \n\nOn top of that, U.S. magnesium costs nearly 3x the global average, and legacy methods are CO₂-intensive and waste valuable byproducts.\n\n# ✨ Our Solution\n\nWe’ve modernized carbochlorination metallurgy (the primary methods for producing many of these critical metals) with a novel reactor and process that:\n\n* Creates a closed-loop system that profitably matches Chinese pricing — without subsidies — and slashes emissions\n* Recycles CO₂ emissions into CO feedstock\n* Generates a valuable co-product (bleaching agents)\n\nOthers are trying to reinvent lightweight metal production from scratch with approaches that are costly and dependent on government subsidies or green premiums to hit profitability. Our approach is different: we harness the laws of thermodynamics instead of fighting them, co-producing valuable outputs that make the economics best-in-class.\n\n![uploaded image](/media/?type=post&id=93706&key=user_uploads/2509424/38fd63f0-e5a7-4f91-88cf-ad06c8b7e01a)\n\n# 🏆 What we’ve achieved so far and where we’re headed\n\n* We’ve proven the process at benchtop scale, producing magnesium, bleaching agents, and converting CO₂ produced by carbochlorination into CO\n* We are now scaling with the build of a pilot facility to be operational by June 2026\n* We’re on track to supply 12% of U.S. magnesium by 2029, at 50%+ EBITDA margins (@ world’s lowest mkt prices)\n\n# 👥 Our Team\n\nBerkley, CTO — A leading American expert in magnesium production; holds a patent for an electrochemical metal cell and built the _only_ U.S. pilot magnesium electrolyzer in the last 20+ years. Brings unmatched technical depth in lightweight metal production\n\nBrenden, CEO — Former McKinsey D.C. consultant, where he advised the DoD on reshoring critical chemical production and spent 1 year with the Defense Logistics Agency (DLA). Ex-Goldman TMT investment banker, Stanford Law graduate and Knight-Hennessy Scholar\n\n![uploaded image](/media/?type=post&id=93706&key=user_uploads/2509424/babe8628-8537-44c5-aa1a-daecb483c077)\n\n## 🙏 Asks\n\nJoin our team! We’re looking for engineers with experience in high-temperature or corrosive reactors. If that’s you — or someone you know — and you want to help build the future of lightweight metal production, get in touch!\n\n[team@duranium.co](mailto:team@duranium.co)", "url": "https://www.ycombinator.com/launches/ONO-duranium-reshoring-critical-metal-production", "votes": 23, "created_at": "2025-09-09T03:29:52.411Z" } ] }, { "id": 30807, "name": "Paloma", "slug": "paloma", "former_names": [ "Salesmith" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f1218976659374be7dae288b56678777bbb6a1eb.png", "website": "https://getpaloma.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Paloma gives manufacturing companies an embedded team of engineers and ops experts who replace their manual operations with custom AI-native software.", "one_liner": "Digital transformation for real economy businesses", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1754546482, "tags": [ "SaaS", "Analytics", "Manufacturing", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/paloma", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/paloma.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/108207089/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f1218976659374be7dae288b56678777bbb6a1eb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 520906, "full_name": "Nazli Danis", "title": "Founder/CEO", "founder_bio": "CEO and co-founder @ Paloma | Previously GPM and first product hire @ Deel where I led Employee of Record (EOR), our highest revenue generating vertical, as we blitzscaled from $10K MRR to $XXM MRR.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nazlidanis/", "x_url": "https://x.com/nazlidanis", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7d271a3f5b1cafb751db1b728c33034d02c60d91.jpg" }, { "user_id": 2703464, "full_name": "Alex Avnit", "title": "Founder/CRO", "founder_bio": "CRO and co-founder @ Paloma | Previously Head of Deel’s EOR Business Unit - their fastest-growing and highest revenue-generating product | Quant & Data scientist by trade.\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-avnit-222b3611a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e9384bffde5c89c504343f3270759669145f4083.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93175, "title": "Paloma: AI-native CRM for billing, renewals, and expansions", "tagline": "Auto-pilot everything after the handshake", "body": "### **TL;DR**\n\nPaloma unifies contracts, service consumption, and customer relationship context so that revenue, success and sales teams can operate from the same ground truth. With everything centralized, you can stay ahead of upsell and churn signals while billing runs smoothly in the background.\n\nhttps://youtu.be/jav-7qS-S4U\n\n---\n\n### **The Problem**\n\nFragmented customer context and manual billing kill revenue potential:\n\n* Account managers and customer success don’t have full visibility on which clients to pay attention to for maximizing upsells and minimizing churn\n* Complex pricing or custom deals often require manual work to bill accurately, making them hard to support and creating a real barrier to selling\n\n### The Result\n\n* Revenue opportunities slip through the cracks because signals for upsell or renewals aren’t surfaced on time\n* Teams don’t have a clear view of what they can upsell or at what price, leading to missed opportunities\n* Sales is constrained to “billable” terms, creating friction and slowing execution\n\nThe result is a reactive, fragmented go-to-market motion where growth is capped by operational bottlenecks instead of driven by customer opportunity.\n\n---\n\n### **How Paloma Solves It**\n\nPaloma is the AI copilot and system of record for everything that happens after the handshake:\n\n* **Unified ground truth:** Parses contracts, communications, notes and service consumption into one shared customer context for revops, finance and customer success.\n* **Surfaces revenue opportunities:** Flags upsells, renewals, churn risks, and usage changes and prioritizes them by impact.\n* **Automates billing workflows:** Turns complex terms into billing-ready instructions that run behind the scenes.\n* **Works with your stack:** Seamlessly integrates with your CRM, billing software, and data sources to sync context and actions.\n* **Human-in-the-loop by design:** You stay in control. Paloma learns from your feedback and gradually automates more over time.\n\n### Demo: From Contract to Invoice in Seconds\n\n**1. Upload Contract & Add Notes**\\\nEasily import customer contracts and attach important context in seconds.\n\n![Effortless Billing and Invoicing 💻](https://lh7-rt.googleusercontent.com/docsz/AD_4nXenCXn3XWc-aJ86auvk1b4EbfYkrX83Tacb9LElt6_O29CrmLlKpIV3-g3t-A_ZoEwNMRTLizwutLePHZd6OQoxoJBYoBENxRAEhjZ5StRPdrED7L42JfBVZGDrxzT9GZLvY1NwDg?key=BG5KxR_KYqp8AhZRK2bQPQ)\n\n**2. Parse & Review Contract Data**\\\nPaloma extracts terms, pricing, and key conditions from the contract.\n\n![Effortless Billing and Invoicing 💻](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcWyfWU9QpLWYr70cBoUZtfs1pqaC4uSNPLA-zF3eCa0zgAMZLXcOxQTZ2EZs-Gl2GMEaTMcyt7oDKcETvRgggs25ZpNHVSVuz0kxx3aHVqSeVKSJplYcr7lpgKw4Dxd0iAc23LpQ?key=BG5KxR_KYqp8AhZRK2bQPQ)\n\n**3. Upload Usage Data**\\\nFeed in real consumption data to trigger accurate billing calculations.\n\n![Effortless Billing and Invoicing 💻](https://lh7-rt.googleusercontent.com/docsz/AD_4nXczxqONAnGu0BAaL8dL5EZ8zABzWHQyDBgMN8xgW4YBFvyu7vGKcgBTcBK9s9JNdLqq4ekGPJGVjCCO7KWRvTtxm9x9dR0n4QoPnD5qaQSj188gQ4fMT0A6QwRymziy0-VI-kXY?key=BG5KxR_KYqp8AhZRK2bQPQ)\n\n**4. Generate & Review Invoice**\\\nWatch the system apply contract rules and usage to produce the final invoice, automatically.\n\n![Effortless Billing and Invoicing 💻](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcCNxVydjEGKUle7c1KaAb4Pqzr9zZ-H7WrQGYXDH8re-Q1ggk8tOCqwZ6Y3jvxgOl-dEmspx3B7_hWdY-gsPiHSV_nfRj_8FnQ8oPXl8zBgoNTzu8KJ1XCYPFmEVdKOSMemx8nYw?key=BG5KxR_KYqp8AhZRK2bQPQ)\n\n### **The Team**\n\nWe met at Deel, where we were early employees. Naz (CEO) and Alex (CRO) spent 3 years building and scaling Deel’s largest revenue-generating product from zero to $500m ARR. Kai (CTO) led the development of Deel’s billing and payments infrastructure from the ground up. We’ve lived the pain of messy post-sales firsthand and we’re building Paloma to solve it.\n\n![uploaded image](/media/?type=post&id=93175&key=user_uploads/2703464/b02e3435-4880-4c5e-a9a6-1f9c9b46bb59)\n\n### **Our ask**\n\nIf your team spends too much time on messy workflows, manual billing processes or you feel like you’re leaving money on the table, let’s talk.\n\n* **Book a call**: [https://cal.com/team/paloma/intro-call-with-paloma-](https://cal.com/team/paloma/intro-call-with-paloma-founders)\n\n [founders](https://cal.com/team/paloma/intro-call-with-paloma-founders)\n* **Or email/call us at** : [founders@getpaloma.ai](mailto:founders@getpaloma.ai) / +1 (917) 971-7795\n\nThank you!", "url": "https://www.ycombinator.com/launches/OEp-paloma-ai-native-crm-for-billing-renewals-and-expansions", "votes": 118, "created_at": "2025-08-20T14:28:04.109Z" } ] }, { "id": 30818, "name": "Nox Metals", "slug": "nox-metals", "former_names": [ "NOX METALS", "NOX METAL" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f724f217879daf89f5fc2ea9279d9cf723f6300.png", "website": "https://noxmetals.co/", "all_locations": "Detroit, MI, USA", "long_description": "Nox Metals is an AI-powered metals supplier powering modern American manufacturing at scale. We are building automated factories that turn raw metal into production-ready material faster, cheaper, and more reliably than legacy service centers.", "one_liner": "Supplying America's Industrial Base", "team_size": 52, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1751751667, "tags": [ "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Factories waste time quoting, sourcing, and cutting aluminum blocks. It's slow, manual, and adds unnecessary overhead. This inefficiency compounds across thousands of jobs, dragging down margins and throughput. We started Nox to automate this layer and unlock speed and scale for modern manufacturing." } ], "url": "https://www.ycombinator.com/companies/nox-metals", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/nox-metals.json", "year_founded": 2025, "city": "Detroit", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nox-metals-inc/", "x_url": "https://x.com/noxmetals", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f724f217879daf89f5fc2ea9279d9cf723f6300.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6439dfa3b9d8de9b2146e20914d41db9b7b08f59.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1489130, "full_name": "Zane Hengsperger", "title": "Founder/CEO", "founder_bio": "Supplying factories across America with the fastest and lowest-cost metals.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zanehh/", "x_url": "https://x.com/zanehengsperger", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca5aca1125d8f1d8d5a8cbe1524b3c18afb9e8cb.jpg" } ], "jobs": [ { "id": 105416, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/tPQM8Q3-chief-of-staff", "location": "Detroit, MI, US / Los Angeles, CA, US / San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $225K", "equity_range": "0.05% - 0.10%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105417, "title": "Member of Technical Staff", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/E0MI9g4-member-of-technical-staff", "location": "Detroit, MI, US / San Francisco, CA, US / Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$90K - $180K", "equity_range": "0.05% - 0.10%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 107628, "title": "Product Manager ", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/m0RJ4yi-product-manager", "location": "Detroit, MI, US / Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$70K - $150K", "equity_range": "0.01% - 0.02%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 109972, "title": "Operations", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/2K1qJqK-operations", "location": "Detroit, MI, US / Los Angeles, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $200K", "equity_range": "0.01% - 0.10%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114993, "title": "Manufacturing Operations Associate", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/mKXeZyX-manufacturing-operations-associate", "location": "Detroit, MI, US / Los Angeles, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$80 - $120K", "equity_range": "0.01% - 0.05%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115813, "title": "Social Media Manager", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/z0TyIpq-social-media-manager", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$47.5K - $52.5K", "equity_range": "0.00% - 0.03%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115814, "title": "ML Engineer", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/ztSQcah-ml-engineer", "location": "Detroit", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$152K - $168K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115815, "title": "Marketing Intern", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/vgy6xq3-marketing-intern", "location": "Los Angeles / Detroit", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$39.1K - $43.2K", "equity_range": "0.00% - 0.03%", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 115816, "title": "Recruiter", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/0TsVTWN-recruiter", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "$52.3K - $57.8K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115817, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/bDoZ7lp-software-engineer", "location": "Detroit", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$154K - $170K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115818, "title": "Customer Success Manager", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/7gwRK4c-customer-success-manager", "location": "Detroit", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$71.3K - $78.8K", "equity_range": "0.00% - 0.03%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115819, "title": "Inside Sales", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/6PLQ5fz-inside-sales", "location": "Detroit", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$71.3K - $78.8K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115820, "title": "Local Delivery Driver", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/9E0KMma-local-delivery-driver", "location": "Detroit / Los Angeles", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$47.5K - $52.5K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115821, "title": "Material Handler (All Shifts)", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/85BjrW7-material-handler-all-shifts", "location": "Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$19 - $21 / hourly", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115822, "title": "Factory Technician (All Shifts)", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/8GQRzy8-factory-technician-all-shifts", "location": "Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$19 - $21 / hourly", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115823, "title": "Operations Associate", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/5XKeNrV-operations-associate", "location": "Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$76K - $84K", "equity_range": "0.00% - 0.03%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115824, "title": "Recruiting Associate", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/mbSfJsO-recruiting-associate", "location": "Detroit / Los Angeles", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "$52.3K - $57.8K", "equity_range": "0.00% - 0.03%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115825, "title": "Production Supervisor (Multiple Shifts Available)", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/mHl5hkY-production-supervisor-multiple-shifts-available", "location": "Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$75.1K - $83K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115826, "title": "Machine Learning Engineer", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/FHK02T5-machine-learning-engineer", "location": "Los Angeles / San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$152K - $168K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115827, "title": "Production Supervisor", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/mBmk5Q2-production-supervisor", "location": "Los Angeles", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$75.1K - $83K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115828, "title": "Video Editor / Motion Designer", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/CDXU2aB-video-editor-motion-designer", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Design", "role_type": "Web design", "salary_range": "$61.8K - $68.3K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115829, "title": "Head of Engineering", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/vGqayKm-head-of-engineering", "location": "Los Angeles", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$188K - $207K", "equity_range": "0.00% - 0.10%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115830, "title": "Manufacturing Engineer", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/RfPuIqI-manufacturing-engineer", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$115K - $127K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115831, "title": "Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/qyUf4GG-infrastructure-engineer", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$111K - $123K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115832, "title": "Customer & Commercial Product Manager", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/zDQVVxF-customer-commercial-product-manager", "location": "Los Angeles", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$124K - $137K", "equity_range": "0.00% - 0.03%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115833, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/tE6KoQ2-chief-of-staff", "location": "Los Angeles", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$149K - $165K", "equity_range": "0.00% - 0.10%", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115834, "title": "Associate Supply Chain Engineer", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/G7v3kr7-associate-supply-chain-engineer", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$57K - $63K", "equity_range": "0.00% - 0.03%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115835, "title": "Material Handler / Shipping Associate", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/juVKRcx-material-handler-shipping-associate", "location": "Los Angeles", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$19 - $21 / hourly", "equity_range": "0.00% - 0.03%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115836, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/HLY8ADP-account-executive", "location": "Los Angeles / Detroit / San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$81.3K - $89.8K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115837, "title": "Weekend Operations Associate", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/CI9z0fz-weekend-operations-associate", "location": "Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$19 - $21 / hourly", "equity_range": "0.00% - 0.03%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115838, "title": "Operations Trainer", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/LJQ2Tmi-operations-trainer", "location": "Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$69.2K - $76.5K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115839, "title": "Cinematographer", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/o8OsliJ-cinematographer", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$81.5K - $90.1K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115840, "title": "Business Development Representative", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/JJTNXuD-business-development-representative", "location": "Detroit", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$82.8K - $91.5K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115841, "title": "Operations Systems Product Manager", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/Iz35FOX-operations-systems-product-manager", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$152K - $168K", "equity_range": "0.00% - 0.03%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115842, "title": "Plant Manager", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/j3OhDNV-plant-manager", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$132K - $146K", "equity_range": "0.00% - 0.10%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115843, "title": "Assistant General Manager", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/DDS033t-assistant-general-manager", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$76K - $84K", "equity_range": "0.00% - 0.10%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115844, "title": "Director of Manufacturing", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/ewqJoHE-director-of-manufacturing", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$129K - $142K", "equity_range": "0.00% - 0.10%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115845, "title": "Accounts Receivable / Accounts Payable Specialist", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/mi3Hv4i-accounts-receivable-accounts-payable-specialist", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$53.8K - $59.4K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115846, "title": "Saw Operator", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/oyQ7YQw-saw-operator", "location": "Los Angeles", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$19 - $21 / hourly", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115847, "title": "Full Stack Engineer", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/Y4KoiT9-full-stack-engineer", "location": "Los Angeles / San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$154K - $170K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115848, "title": "Executive Assistant", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/kJreaNw-executive-assistant", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$77.5K - $85.7K", "equity_range": "0.00% - 0.03%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115849, "title": "Senior Finance Manager", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/yRxyyOb-senior-finance-manager", "location": "Los Angeles / Detroit", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$177K - $196K", "equity_range": "0.00% - 0.10%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115851, "title": "People Operations Associate", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/DQoH7Gg-people-operations-associate", "location": "Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$42.8K - $47.3K", "equity_range": "0.00% - 0.03%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115852, "title": "Office Manager", "url": "https://www.ycombinator.com/companies/nox-metals/jobs/OoRm3au-office-manager", "location": "Detroit", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$68K - $75.2K", "equity_range": "0.00% - 0.03%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "NOX METALS Raises an $11.5M Seed Round to Reindustrialize America", "url": "https://noxmetals.co/blog/nox-metals-seed-round", "date": "Jun 14, 2026" } ], "launches": [ { "id": 92971, "title": "NOX METALS: The modern metals supplier.", "tagline": "Modern metals factories to supply America's industrial base. ", "body": "**NOX METALS: The Factory is the Product**\\\nVertically integrated, automated metals factories built to move at software speed.\n\n**TL;DR:** Nox Metals is building the metals processing platform of the future. Our vertically integrated factories run on software and automation to deliver lightning-fast, low-cost metal to our customers. Our goal: power the next industrial era by becoming the fastest, most advanced supplier to America’s industrial base.\n\nLaunch Video: https://www.youtube.com/watch?v=X6qMjj4RMBQ\n\n## 🛑 The Problem\n\nEvery part, from aerospace components to automotive tooling, starts with raw metal. But the supply chain that delivers it hasn’t changed in decades:\n\n* **3–5 days** to get a quote from a broker.\n* **Multiple markups** between the mill and your shop.\n* **Slow fulfillment** with no visibility once you order.\n* **High overhead** baked into every part because of manual, fragmented workflows.\n\nThis slows down factories, raises costs, and makes American manufacturing less competitive.\n\n## ⚡ The Nox Metals Model\n\nWe don’t just _use_ factories, we build them to be the product.\n\n* **Orders in → Machines moving:** Your quote instantly becomes a job on our automated cutting line.\n* **Software + Automation:** Robots pick, cut, package, and label… removing human bottlenecks.\n* **Lower Overhead:** No layers of brokers, reps, and schedulers.\n* **Faster for You:** Shorter lead times, real-time tracking, and predictable delivery.\n\nLower overhead means better prices. Faster cycle times mean more throughput for your factory.\n\n## 📈 Why It Works for Customers\n\n* **Time:** Place orders in minutes, get delivery in days.\n* **Cost:** Reduced overhead on our end means better pricing for you.\n* **Certainty:** Every order tracked from quote to delivery.\n\n## 🛠 Who We Serve\n\n* Job Shops\n* OEMs\n* Tier 1/2/3 Suppliers\n* Aerospace, Defense, and Industrial Manufacturers\n\n## 💬 Ask\n\nWe’re live with aluminum plate and block today, expanding into steel, tube, and sheet next. If you run a factory and need raw metal faster and cheaper, let’s talk.\n\n📩 zane@noxmetals.co\\\n🌐 [noxmetals.co](http://noxmetals.co)\n\nWhen your factory needs metal, ours is already working.", "url": "https://www.ycombinator.com/launches/OBX-nox-metals-the-modern-metals-supplier", "votes": 33, "created_at": "2025-08-13T19:15:21.779Z" } ] }, { "id": 30849, "name": "MOVEdot", "slug": "movedot", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff366b5cf4ba792d472cf1af716e033566ff24ff.png", "website": "https://www.movedot.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Our agents run hardware engineering tasks that normally take hours or days in just a few minutes, allowing engineers to process 100x more data and information. Our platform allows hardware engineers to orchestrate agents for tasks such as analyzing failures across entire test campaigns, pulling the right data and KPIs from their databases, checking how conditions (like temperature or load) affect performance and reliability, and then document findings in reports and dashboards.", "one_liner": "AI Agents for Hardware Engineering", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1759431340, "tags": [ "Hardware", "Manufacturing", "AI", "Automotive", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "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/movedot", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/movedot.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/move-dot-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff366b5cf4ba792d472cf1af716e033566ff24ff.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 845924, "full_name": "Girish Radhakrishnan", "title": "Founder/CEO", "founder_bio": "Building AI agents for hardware test data analysis\nex-Tesla, 10 years of experience in the automotive industry working with my co-founder Bruno Finco", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/girish-radhakrishnan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6d40cfbaae3ffb298752be939eaf3c1da7fd76a8.jpg" }, { "user_id": 1931404, "full_name": "Bruno Finco", "title": "Founder/CTO", "founder_bio": "Building AI agents for sensor data analysis. 10 years in automotive as a lead forward-deployed engineer, working with my cofounder Girish.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bruno-finco-610999b6/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/014be131eb6fc4cfee8218b1bba16a5e5609c13d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95237, "title": "MOVEdot: AI Agents for Hardware Engineering", "tagline": "Cursor for Engineering Analysis - From Race Cars to Factory Floors", "body": "Hey everyone, we’re [**Bruno**](https://www.linkedin.com/in/bruno-finco-610999b6/) and [**Girish**](https://www.linkedin.com/in/girish-radhakrishnan/), founders of [**MOVEdot**](https://www.movedot.ai/).\n\n# TL;DR\n\n* When developing any sort of hardware, engineers are the bottleneck due to data/information overload, creating huge inefficiencies and waste\n* We built a Cursor-like interface that allows humans and AI agents to work together on multi-modal data, achieving 10-100x efficiency\n* We started with race cars and are now expanding to other industries\n* [**Book a demo**](https://www.movedot.ai/) or email us ([founders@movedot.com](mailto:founders@movedot.com))\n\nhttps://youtu.be/tA-4cdiJ5tI\n\n# ❌ The Problem\n\nEvery engineer says the same thing:\n\n> “Too much data, not enough time.”\n\nData collection has grown 10x, but the **same human brain** still has to make sense of it. Engineers spend days digging through spreadsheets and KPIs to find what failed. Or more realistically, they give up, leaving most data unused.\n\n# ⚙️ The Solution\n\nWe built **MOVEdot**, an AI agent platform that allows you to use 10x more data to make decisions. It connects to data, video, and test standards, automating reports or answering questions like:\n\n> _When did temperature spikes cause mechanical failures, and what were early signs?_\n\nAgents process the data and produce interactive dashboards and mind maps.\n\n![uploaded image](/media/?type=post&id=95237&key=user_uploads/1931404/3f0d742e-35f8-4d25-8c7a-ccd153474570)\n\n# 🌍 The Vision\n\nPhysical-world testing is a **$250B market** across development, durability, and validation. Our goal: give every engineering team **thousands of AI teammates** that helps them use **100%** of their data, increasing performance and shortening time to market. From racing to robotics. From proving grounds to production lines.\n\n# 🏎️ Race Cars - Why We Started Here\n\nWe began in motorsports: time-sensitive environment with short sales cycles. Closed our first 30k deal within 2 weeks of the POC. Well, we were also race car engineers…\n\n![uploaded image](/media/?type=post&id=95237&key=user_uploads/1931404/590dddb8-083c-4492-a213-a4695df7a028)\n\nSince then, we’ve onboarded dozens of racing teams and have expanded into manufacturing, with a POC at [**Tractian**](https://tractian.com/en) (YC W21).\n\n# 👥The Team\n\n[**Bruno**](https://www.linkedin.com/in/bruno-finco-610999b6/) and [**Girish**](https://www.linkedin.com/in/girish-radhakrishnan/) worked together for 8 years as forward-deployed engineers in an automotive consulting firm, where we realized we were the bottleneck. Girish also had a stint at Tesla, seeing the same challenges.\n\n![uploaded image](/media/?type=post&id=95237&key=user_uploads/1931404/d3d6577b-ae0c-4715-803e-1ad78a09d2a6)\n\n# 🔥 Our Ask\n\n* Are you an engineer working with a ton of data? [**Book a demo!**](https://www.movedot.ai/)\n* Know someone who is? Share this post!\n\nContact us at [founders@movedot.com](mailto:founders@movedot.com)", "url": "https://www.ycombinator.com/launches/Om5-movedot-ai-agents-for-hardware-engineering", "votes": 14, "created_at": "2025-11-06T04:35:39.416Z" } ] }, { "id": 30895, "name": "Allus AI", "slug": "allus-ai", "former_names": [ "Allus AI Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e556d72ba8162e6d77731f52ccea802c98b54fa3.png", "website": "https://allus.ai", "all_locations": "Atlanta, GA, USA", "long_description": "Allus builds next-gen vision foundation models that bring real intelligence to manufacturing. Enabling factories to see, understand, and improve production in real time. ", "one_liner": "Transforming manufacturing with our next-gen Vision Foundation Model", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1761108820, "tags": [ "Machine Learning", "SaaS", "Computer Vision", "Manufacturing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/allus-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/allus-ai.json", "year_founded": 2025, "city": "Atlanta", "country": "US", "linkedin_url": "https://www.linkedin.com/company/allus-ai/", "x_url": "https://x.com/allus_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e556d72ba8162e6d77731f52ccea802c98b54fa3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/19ed8bfd28856edefbda0d3ee4d4d3017054ed8a.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/02b1652b4ead3ef7bd979f7db3e7461b111e93bf.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1667481, "full_name": "Kai Cui", "title": "Founder/CEO", "founder_bio": "Founder & CEO @ Allus AI. BS + MS in CS from Georgia Tech. Building vision foundation model to transform manufacturing.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kaixiang-cui", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d012cfddf81fb9af30743cc5270cb84579450398.jpg" }, { "user_id": 2667730, "full_name": "Zhisen An", "title": "Founder/COO", "founder_bio": "Co-Founder @ Allus AI Inc. | MS CS @ GaTech", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zhisenan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d36b723641b04f1a88fef304237446298bdc8919.jpg" }, { "user_id": 2673772, "full_name": "Shijie Wang", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO @ Allus AI | CS @ Georgia Tech", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shijiew/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/26e530b95b0469b4c70162d6c284bcf3d4df99b7.jpg" } ], "jobs": [ { "id": 92048, "title": "Founding AI Agent Engineer", "url": "https://www.ycombinator.com/companies/allus-ai/jobs/AcYMVC9-founding-ai-agent-engineer", "location": "Cupertino, CA, US / Atlanta, GA, US / Remote (CA, US; GA, US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K", "equity_range": "0.30% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Microsoft Azure", "Node.js", "Python", "React", "Redis", "Rust", "TypeScript", "SQL", "Docker", "Software Architecture" ] } ], "news": [], "launches": [ { "id": 95347, "title": "Allus AI — Vision Foundation Model for Manufacturing", "tagline": "Bringing real intelligence to factories", "body": "Hi YC,\n\nThis is [Kai](https://bookface.ycombinator.com/user/1667481), [Shijie](https://bookface.ycombinator.com/user/2673772), and [Jason](https://bookface.ycombinator.com/user/2667730), cofounders of Allus AI.\n\nWe’re building a vision foundation model for manufacturing.\n\n**TL;DR**: Traditional manufacturing vision systems are slow, complex, and expensive. Allus delivers a million-dollar vision solution in minutes.\n\nhttps://www.youtube.com/watch?v=pNV7Ekyzfm0\n\n**A Vision Foundation Model for Manufacturing**\n\nAllus is a 1B parameter vision foundation model trained on over 1.5 billion industrial, robotics, and manufacturing data pairs collected over five years. It achieves state-of-the-art accuracy in defect detection (> 99.95%) and process monitoring (> 99.2%).\n\nAllus understands manufacturing the same way ChatGPT understands language. The dataset we used to train Allus is more than 100x larger than comparable industrial datasets, giving Allus a strong baseline familiarity with the entire factory ecosystem, including machines, people, and processes.\n\nToday 95% of manufacturers still rely on manual inspection to detect defects and monitor process compliance on the factory floor. This work can be automated with computer vision, but these solutions are domain-specific, take months to implement and cost millions of dollars. \n\nWith our implementation agent, Allus can be trained to handle specific use cases in only a few minutes using a small number of reference examples. \n\nIn the last three months, we’ve deployed it on production lines run by five global fortune 500 manufacturers, where we’ve been able to improve defect detection accuracy in some cases by more than 100x.\n\n**Our Team**\n\n![uploaded image](/media/?type=post&id=95347&key=user_uploads/1667481/c1a959c6-45ec-441b-b904-0ef212f17f53)\n\nWe combine cutting-edge AI with challenges that have troubled manufacturing for over a century. Kai, Shijie, and Jason began exploring how AI could empower industry while studying at Georgia Tech. Kai comes from a family deeply rooted in manufacturing and grew up in factories, managing production for IPhone back panel at the age of 18. Shijie previously worked as an LLM scientist at NVIDIA Lab, where he gained firsthand insight into the pain points of manufacturing. Jason has always operated on the front lines of industrial enterprises and developed universal solutions for robotics companies.\n\n**Ask**\n\nWe’re working with manufacturers across the globe, from electronics and automotive to food & beverage, FMCG, and high-performance materials.\n\nIf you want to bring intelligence to your factory, talk to us!\n\n👉 [Allus.ai](http://Allus.ai)\n\n📧 [kai@allus.ai](mailto:kai@allus.ai)\n\n![uploaded image](/media/?type=post&id=95347&key=user_uploads/1667481/802e4649-e04c-4d8f-beec-a357eef0f593)\n\n", "url": "https://www.ycombinator.com/launches/Onr-allus-ai-vision-foundation-model-for-manufacturing", "votes": 282, "created_at": "2025-11-10T07:02:52.620Z" } ] }, { "id": 30917, "name": "Bravi", "slug": "bravi", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/293f67239064e77044472c7d1555aed47f6899c7.png", "website": "https://www.bravi.app/", "all_locations": "New York City, NY, USA", "long_description": "Bravi helps manufacturers of windows, doors, and other home improvement products turn fragmented technical and commercial data into tools their teams can use instantly. \r\n\r\nOur AI platform helps sales, customer service, and field teams answer technical questions, configure complex products, generate quotes, and retrieve order information by connecting to existing documentation, catalogs, ERP, CRM, and pricing systems.\r\n\r\nBravi is already live with leading installers and manufacturers across Europe and the US, turning missed demand into revenue.", "one_liner": "AI operating system for home improvement manufacturers", "team_size": 8, "industry": "B2B", "subindustry": "B2B", "launched_at": 1759871932, "tags": [ "B2B", "Manufacturing", "Automation", "Home Services", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "We (Anas and Pierre-Habté) met at UC Berkeley in 2017 and immediately started working together on tech projects. After co-founding Snipfeed, scaling it to 20+ people, and selling the company in 2024, we knew we wanted to build again together.\r\n\r\nThe idea for Bravi came from a very personal pain point: my family runs a shutter installation business in France, and I saw firsthand how many calls and leads were missed every day. On top of that, I launched a side business, Volet Dumont, selling shutters online, and experienced the same chaos with quoting and customer communication.\r\n\r\nWe realized installers were losing 30–40% of potential revenue just from slow follow-ups, missed calls, and disorganized workflows. With our background in automation and product scaling, we decided to tackle it head-on.\r\n\r\nThat’s how Bravi was born: combining our founder-market fit, validated by hundreds of conversations with installers, with the conviction that AI assistants could transform how home service companies capture and convert leads." } ], "url": "https://www.ycombinator.com/companies/bravi", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/bravi.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/braviapp", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/293f67239064e77044472c7d1555aed47f6899c7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7636c7fb91d9cf0122d51febfbb6e191e9cd47ab.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/9b42378c39210eacfa059a9799e1f5a2645d4ad1.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 231836, "full_name": "Anas Bouassami", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Bravi (YC F25), the AI communication platform for home service companies. \nAlongside Bravi, he also runs Volet Dumont, an online rolling shutter business that serves as a live testing ground for Bravi’s technology and customer workflows.\nHe previously co-founded Snipfeed in 2017, where he scaled the company to 20+ employees before its acquisition in 2024. \nAnas holds a Master Degree from UC Berkeley and a Bachelor of Science in Mechanical Engineering from EPFL.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anas-bouassami", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/843c0e7207b31b53a786edabe00362860887c3a1.jpg" }, { "user_id": 231673, "full_name": "Pierre-Habte Nouvellon", "title": "Founder", "founder_bio": "Co-founder and CPTO of Bravi. Previously co-founded and exited Snipfeed ($7M raised, 20+ employees). South American Math Olympiad #1. Trained as a space/aerospace engineer before moving into ML and AI product.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pierre-habte-nouvellon/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef29a9e4166d4b4e83e3e4bf6f92ae1c5d6a3601.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94602, "title": "Bravi - AI voice and chat assistants for home service companies", "tagline": "The AI assistant that helps home service companies capture every lead", "body": "👋 We’re [Pierre-Habté](https://www.linkedin.com/in/pierre-habte-nouvellon/) & [Anas](https://www.linkedin.com/in/anas-bouassami/) from [Bravi (F25)](https://bravi.app/) and we are bulding AI voice and chat assistants for home service companies.\n\nyoutube.com/watch?v=Zl3jtIK_yco&feature=youtu.be\n\n**TL;DR:** Bravi builds **AI voice & chat assistants** for home service installers (shutters, solar, HVAC, carpentry) and manufacturers. We help them capture every lead, follow up instantly, and close more jobs.\n\n### **Problem**\n\n**Missed revenue**\n\nMost installers and manufacturers selling directly to consumers lose **30–40% of potential revenue** because they miss calls, don’t answer emails, and fail to respond to chats in time. Every unanswered lead is lost business.\n\n**Broken communication workflows**\n\nSales, admin, and field teams rely on **manual callbacks, scattered inboxes, and slow CRMs**, which makes it impossible to respond instantly or follow up consistently. That lag costs them real money.\n\n**Tools not made for them**\n\nGeneric chatbots and call centers don’t understand **home service workflows** — quotes, site visits, or product specs — leaving customers frustrated and companies unable to scale efficiently.\n\n### **Solution**\n\n![uploaded image](/media/?type=post&id=94602&key=user_uploads/231836/5c45980d-e8ee-4351-bb93-f7f115717a92)\n\nBravi fixes this with AI agents that:\n\n* **Answer calls & chats** 24/7\n* **Pre-qualify leads** (project type, urgency, location)\n* **Book** **callbacks** for the team\n* **Create tasks & reminders** for team members to ensure follow-through\n* **Generate** and **Send** **quotes** automatically\n\n### **Our Story**\n\nThis isn’t theory. We (Anas & Pierre) met at UC Berkeley in 2017. After co-founding and scaling our first startup to 20+ employees (acquired in 2024), we wanted to build again, this time in a space we knew personally.\n\n![uploaded image](/media/?type=post&id=94602&key=user_uploads/231836/4bd905c2-fa8c-4c65-91dc-f0891a474e13)\n\nAnas grew up in a **family shutter installation business** and later launched an **online shutter e-commerce store** (Volet Dumont). Both showed us the same pain: installers drowning in leads, but losing 30–40% of potential revenue.\n\nThat’s how **Bravi** was born.\n\n### **🙏 Our Ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Do you know **installers, manufacturers, or contractors** in home services (shutters, solar, HVAC, carpentry…) who struggle with missed calls or slow follow-ups?\n\n 👉 Invite them to test **Bravi** for free at [www.bravi.app](http://www.bravi.app)\n* Can you introduce us to **B2B2C manufacturers** selling directly to consumers who could benefit from AI assistants handling their inbound calls, chats, and emails 24/7?\n* Are you working with or know **digital agencies** or **industry partners** that build websites for installers and could integrate Bravi’s AI assistants into their clients’ sites?\n\n💬 We’d love to connect — every intro or feedback helps us make sure **no home service business ever loses a lead again**\n\n📩 Reach us anytime at [**anas@bravi.app**](mailto:anas@bravi.app)\n\n![uploaded image](/media/?type=post&id=94602&key=user_uploads/231836/0ee0d771-04a0-4722-b59f-761dfd5ecbcf)\n\n", "url": "https://www.ycombinator.com/launches/Obq-bravi-ai-voice-and-chat-assistants-for-home-service-companies", "votes": 40, "created_at": "2025-10-13T17:33:41.518Z" } ] }, { "id": 30996, "name": "Axial", "slug": "axial", "former_names": [ "Axial Composites Industries", "Nerviom" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/50b2530edbf5348c3c01f68b90374b1e76cd4dd6.png", "website": "https://axialcompute.com", "all_locations": "San Francisco, CA, USA", "long_description": "Axial develops accelerated software for geometric computation, physical simulation, and manufacturing.\r\n\r\nOur GPU-native kernels provide programmable building blocks for the computational engineering cycle. They make existing workflows faster and less expensive while enabling engineering teams to explore substantially larger design spaces.", "one_liner": "Accelerated Physics Kernels for Computational Engineering", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1757132336, "tags": [ "Manufacturing", "AI", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/axial", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/axial.json", "year_founded": 2025, "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/50b2530edbf5348c3c01f68b90374b1e76cd4dd6.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": 853081, "full_name": "Giuseppe Rapisarda", "title": "Founder/CEO", "founder_bio": "Aerospace engineer. 5+ years of designing and manufacturing composite components for UAVs, rockets and satellites. Space industry experience @ Rocket Factory Augsburg, designed and simulated composites aerostructures.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/giuseppe-rapisarda2001/", "x_url": "https://x.com/peps_rp", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f916b718b726da45ffb965ad788f90c529725590.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95367, "title": "Axial Composites Industries: Manufacturing Stronger Carbon Fiber Parts Faster", "tagline": "Composites manufacturing for the upcoming aerospace and robotic age", "body": "**TLDR:** Drones and robotics are driving demand for high-performance materials at an all-time high. We make it easier to manufacture aerospace-grade carbon fiber parts thanks to our bespoke 5-axis manufacturing cell.\n\nhttps://youtu.be/9H3dZBSVojE\n\nHey all,\n\nWe are [Giuseppe](https://x.com/peps_rp) and [Rollo](https://www.linkedin.com/in/rollo-tully-5a3306221/),\n\nWe started with manufacturing UAVs together back in university, and now we are creating a manufacturing cell to make better composite parts for aerospace and robotics.\n\n**Why work on this?**\n\nConventional composites manufacturing faces long lead times (2-10 weeks)\n\nThis is how the standard process looks like:\n\n1\\.     Mold manufacturing (1-4 weeks, $10k–$100k+).\n\n2\\.     Manual layup (8-40 labor hours @ 30-80$/hr).\n\n3\\.     Part curing (3-20hr, autoclave CAPEX: $35k-$500k+).\n\n4\\.     Post-processing (2-5 days).\n\nOne design iteration burns weeks and money; a small design change results in going back to step 1.\n\nEngineering teams need faster lead times, lower barriers to entry for manufacturing, and more design freedom.\n\n**The solution**\n\nWe condense all of those steps in a single manufacturing cell, producing parts in a day instead of weeks, offering unprecedented design opportunities.\n\nOur MK1 custom manufacturing cell is equipped with:\n\n* 5 degrees of freedom for non-planar operations\n* thermal chamber for high-performance materials\n* switchable end effectors for additive and subtractive manufacturing of composites\n* 1.5m tall build chamber for large structures production\n\nOur software stack is the first optimized 5-axis slicer for continuous fiber that can deposit material along the stress fields direction of the component, which allows us to produce parts as strong as metals but as light as plastics.\n\nWe engineer and produce our own reinforced thermoplastic stock in-house. We believe that material science advancements lie at the base of most significant step changes in the progress of a civilization, and our fundamental belief is that we have barely scratched the surface of what these materials can achieve.\n\n![uploaded image](/media/?type=post&id=95367&key=user_uploads/853081/dbfa5011-b19e-4c4c-a9ac-17e394252188)\n\n**Ask**\n\nIf you would like to try our parts, hit us up! Any intros to aerospace/robotics companies are also greatly appreciated. Just reach out on X or via email [Giuseppe@axialcomposite.com](mailto:Giuseppe@axialcomposite.com)\n\nP.S. We weren’t able to break the test sample shown in the gif, we hit the upper limit of the crane, and the aluminum structure started to bend instead. More testing soon!", "url": "https://www.ycombinator.com/launches/OoB-axial-composites-industries-manufacturing-stronger-carbon-fiber-parts-faster", "votes": 19, "created_at": "2025-11-10T19:04:14.644Z" } ] }, { "id": 31043, "name": "Advanced Metal Research", "slug": "advanced-metal-research", "former_names": [ "Gradient Robotics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d5a7969eb6dca800d7d66a510da584091e078f33.png", "website": "https://advancedmetalresearch.com/", "all_locations": "Los Angeles, CA, USA", "long_description": "America does not just need more welders. It needs welding knowledge that can scale.\r\n\r\nThe American Welding Society projects 320,500 new welding professionals will be needed by 2029, with about 80,000 jobs to be filled annually from 2025 to 2029. More than 157,000 current welding professionals are approaching retirement. Welders are only a small share of the skilled-trades workforce, but welding accounts for an outsized share of projected capability demand. \r\n\r\nThe market calls it a labor shortage. AMR sees a learning bottleneck.\r\n\r\nWe are building American-made robotic welding cells that combine computer vision to provide real-time seam tracking and post-weld inspection to turn welding from a scarce manual process into a closed-loop manufacturing system that learns from every weld as it happens.", "one_liner": "Machine intelligence for American Welding", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1778801477, "tags": [ "Hardware", "Robotics", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/advanced-metal-research", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/advanced-metal-research.json", "year_founded": 2025, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/advanced-metal-research/", "x_url": "https://x.com/amrwelding", "fb_url": null, "cb_url": null, "github_url": "https://github.com/gradient-industrial-robotics", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d5a7969eb6dca800d7d66a510da584091e078f33.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": 2387747, "full_name": "Angus Muffatti", "title": "Founder/CEO", "founder_bio": "+Last startup hit first $1m in 18 months &\n$10m val at last investment from largest\naussie real estate group\n+ 3 published ML & AI optimisation papers\n+ Designed & built liquid bi-propellant\nrocket engines & test facility", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/angusmuffatti/", "x_url": "https://x.com/dirtman", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/646784bdfdad91fa4bd900a67f40c8583fd68bc8.jpg" }, { "user_id": 2392080, "full_name": "Julian Fried", "title": "Founder", "founder_bio": "Building robotic welding equipment | Prev. Welding foreman in Eastern PA 🇺🇸", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/julian-fried-460691226", "x_url": "https://x.com/JulianFried", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9dfec594b322db9fff20733f9980b38f0e6d6fb3.jpg" }, { "user_id": 1654103, "full_name": "Stephen Lin", "title": "Founder", "founder_bio": "Founder at Advanced Metal Research. Previously at NASA working on spacewalks and planetary exploration. Built systems used by mission control for 19 spacewalks to date enabling real-time telemetry & monitoring of EVAs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stephen-lin-0/", "x_url": "https://x.com/Perandex", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e89340e2cecc6871ebdb5fe3b69da1781422744.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31298, "name": "Applied Electrodynamics, Inc.", "slug": "applied-electrodynamics-inc", "former_names": [ "Applied Electrodynamics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/11648bf43e6f51e66e8e798d40073877c53c2f20.png", "website": "https://www.ae-dyn.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Applied Electrodynamics builds imaging systems that see through solid matter. Our team previously co-invented the iPhone touchscreen and Nest learning thermostat. We’re starting in construction, helping teams map structural elements and utilities inside walls and ceilings. The same platform extends to security screening and cargo inspection. Our mission is to make the hidden physical world machine-readable across the entire electromagnetic spectrum.\r\n", "one_liner": "A new kind of camera that can see through walls.", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1785202775, "tags": [ "Hard Tech", "Hardware", "Construction", "Manufacturing", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/applied-electrodynamics-inc", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/applied-electrodynamics-inc.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/applied-electrodynamics", "x_url": "https://x.com/ae_dynamics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/11648bf43e6f51e66e8e798d40073877c53c2f20.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 2724984, "full_name": "Bilgehan Avser", "title": "Founder/CEO", "founder_bio": "Bil Avser previously led antenna technologies at Apple across multiple iPhone generations, including UWB, 5G, and mmWave systems, before serving as Head of Technology at Humane through its acquisition by HP. He holds a PhD in Electrical Engineering, has 35+ patents in electromagnetics and RF systems, and received the IEEE APS Pre-Doctoral Research Award.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bavser", "x_url": "https://x.com/bavser", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1b1a0995ed1bd232a77653db4e4dee2ab647ac71.jpg" }, { "user_id": 2980661, "full_name": "Brian Huppi", "title": "Founder", "founder_bio": "Brian Huppi is a hardware engineer and inventor who helped build the earliest iPhone prototypes at Apple, contributing to the multitouch hardware that redefined how the world interacts with devices. He co-invented the first generation Nest Learning Thermostat and later worked on the AI Pin at Humane. He is a named inventor on numerous patents spanning touch interfaces, sensing systems, lighting, and connected devices. Brian holds degrees in Civil and Electrical Engineering from UMass Amherst.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brian-huppi-69a8433/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d67b0681b838d1fed82f35b18d6a43b7bebae7ab.jpg" }, { "user_id": 2974809, "full_name": "Paul Leutheuser", "title": "Founder", "founder_bio": "Paul Leutheuser is a hardware product design engineer who drove numerous new iPhone features into production, including the first haptic home button and IPX8 sealed enclosure. He then designed and shipped multiple 0-1 products at Humane, leading the Product Design team post-acquisition. Paul has 11 patents and holds a Mechanical Engineering degree from UC Berkeley.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/paul-leutheuser-54207364/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/034c1ff34b8c99a04807aa712b02f94f3c6d3e72.jpg" }, { "user_id": 2980566, "full_name": "George McLean", "title": "Founder", "founder_bio": "George McLean is an applied physicist with wide-ranging experience in semiconductor imaging systems and medical devices and patents in retinal prothesis and wearable physiological monitoring. At Humane he made key contributions to the laser display of the Ai Pin. He holds degrees in physics from MIT and UC Berkeley.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/george-mclean-75990415/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4b8c4f90c563da550a00fdb0e86935250883a24f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108275, "title": "Applied Electrodynamics: A new kind of camera that can see through walls", "tagline": "Making the physical world machine-readable across the entire electromagnetic spectrum", "body": "**TL;DR:** We are building a new kind of camera that can see through walls using radio waves. We provide construction, industrial inspection, and security teams with an accurate map of hidden objects behind walls and composite surfaces.\n\n\n\n## **The Problem**\n\nMost of the built world is opaque.\n\nPipes, cables, and structural elements hide behind walls until they're discovered mid-project, driving $20B+ a year in avoidable rework.\n\nDefects remain hidden inside composites until parts break.\n\nEntry teams are missing critical information before they breach a barrier.\n\n## **The Solution**\n\nAn imaging platform that uses radio waves to see behind walls. It works just like a camera, requiring no training and producing high-resolution images that are instantly understandable. The resulting point cloud is natively to scale, accurate down to 1mm.\n\n## **The Team**\n\nFour engineers who've worked together for 8+ years, shipped multiple zero-to-one hardware products, and hold 250+ patents.\n\n**Bilgehan** — PhD in electromagnetics; led antenna technologies on four iPhone generations, shipping the first phones with UWB and 5G mmWave; inventor of the zirconia dielectric resonator antenna.\n\n**Brian** — built the earliest iPhone prototypes at Apple, co-invented iPhone multitouch and the Nest Learning Thermostat; degrees in Electrical and Civil Engineering.\n\n**George** — MIT physicist; built x-ray imagers, retinal implants, optical sensors and the world's smallest laser projector.\n\n**Paul** — Berkeley Mech.E.; ex-Apple and Humane product design lead; co-invented iPhone haptic Touch ID, IPX8 sealing.\n\n## **What we built**\n\n![uploaded image](/media/?type=post&id=108275&key=user_uploads/2724984/c00b3438-c7f7-433f-941d-e021791e51c5)\n\nWe've built the hardware and imaging algorithms that can see behind composite layers and common building materials (sheetrock, tiles, marble, quartz, brick and insulation). Next step is our handheld platform that fuses our radio imaging with RGB and thermal cameras.\n\n![uploaded image](/media/?type=post&id=108275&key=user_uploads/2724984/f1cf1ffa-8b23-4780-b363-13b0db90832d)\n\n## **Our Ask**\n\nWe're looking for intros to decision makers at general contracting firms and industrial inspection teams, and to contacts with military access who can introduce and demo our systems to US defense organizations.\n\nIf that's you or someone you know, reach out to us at [founders@ae-dyn.com](mailto:founders@ae-dyn.com)", "url": "https://www.ycombinator.com/launches/SAN-applied-electrodynamics-a-new-kind-of-camera-that-can-see-through-walls", "votes": 25, "created_at": "2026-07-30T14:48:05.478Z" } ] }, { "id": 31374, "name": "Tenet Industries", "slug": "tenet-industries", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5849b2060564f1836d25c1fa4a3cd18ef1bf9553.png", "website": "https://www.tenetindustries.com", "all_locations": "Stockholm, Stockholm County, Sweden", "long_description": "Tenet Industries is building AI-automated factories for electronics manufacturing services.\r\n\r\nWe're using AI and robotics to build a factory in München for instant-quote, fast-turnaround PCB Assembly and electronic manufacturing services.", "one_liner": "AI-automated factory for PCBAs", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1775173231, "tags": [ "Hardware", "Manufacturing", "Automation", "Electronics", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "Sweden", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tenet-industries", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/tenet-industries.json", "year_founded": 2026, "city": "Stockholm", "country": "SE", "linkedin_url": "https://www.linkedin.com/company/tenet-industries-ab/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5849b2060564f1836d25c1fa4a3cd18ef1bf9553.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ed09a12073ae1ca655b04908a899478f377abca8.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 3351069, "full_name": "Emil Falk", "title": "Founder/CEO", "founder_bio": "Building Tenet: ultrafast, cheap and instant-quoted PCBAs in Europe with amazing developer tools & APIs.\n\nTwo-time hardware founder with an exit in a hardware startup. Grew up in a machining shop in Sweden. Stockholm School of Economics dropout. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emilfalk/", "x_url": "https://x.com/falkemil_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d442cfd078bc68961d3553d7f857be44b0af1fb9.jpg" }, { "user_id": 3398084, "full_name": "Fabian Andersson", "title": "Founder/Engineering", "founder_bio": "Member of Technical Staff @ Tenet Industries. Used to build firmware and hardware for rockets and guidance systems. Dropped out of Aerospace Engineering at KTH. Ran a chicken farm at 11.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/fanderssons/", "x_url": "https://x.com/0xfabian_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/24ff800c4c997be29d743a213138a5f543a18edc.jpg" }, { "user_id": 3336958, "full_name": "Hugo Frisk", "title": "Founder/Engineering", "founder_bio": "Member of Technical Staff @ Tenet Industries. Previously built production lines at Teenage Engineering. Built rockets and electronics at ÆSIR. Dropped out of engineering physics at KTH. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hugo-frisk/", "x_url": "https://x.com/PepperoniPingu/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7dedc99c702850fd8f6aa424807cc1a74a43355d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31437, "name": "Sidekick", "slug": "textsidekick", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/70f52c907fab24ab4f95aa200a11907c5bc3896f.png", "website": "https://textsidekick.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Sidekick is an AI agent that runs custom manufacturing operations over text. Workers text a problem, photo, video, or voice memo and get an answer from the shop's own documents. It reads live machine data and acts on its own: flagging issues before they become downtime, opening and routing work orders, and placing purchase orders. No app, no login.\r\n\r\nThese shops run on tribal knowledge: a handful of veterans know how every job is set up, and they are retiring. Sidekick learns from every message it handles, so answers outlive the people who gave them, and shops run 15% more jobs with the same crew. Sidekick captures it as a byproduct of the work, in an industry that was never documented.", "one_liner": "AI agent that manages manufacturing operations over text", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1775584801, "tags": [ "SaaS", "B2B", "Manufacturing", "AI Assistant", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/textsidekick", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/textsidekick.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/textsidekick", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/70f52c907fab24ab4f95aa200a11907c5bc3896f.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": 3332767, "full_name": "Justin So", "title": "Founder/CEO", "founder_bio": "Founder & CEO at Sidekick (YC S26). Studied computer science at Penn. Previously Finance at Arm.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/justinso1/", "x_url": "https://x.com/Just1nSo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f82fbe50ab02744a7af35fd71ac034d38e8a6e3e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109075, "title": "Sidekick: AI agent that handles frontline operations over text", "tagline": "Sidekick gives frontline workers an AI assistant they can text, with no app, login, or training.", "body": "**Hey everyone 👋**\n\nI'm Justin, founder of Sidekick.\n\n**TL;DR** Sidekick is an AI assistant that frontline manufacturing workers use over text message. They text a number and it answers from the company's own documents, creates and routes work orders, and syncs with the software the company already uses. No app, no login, no training. I built Sidekick for my dad's manufacturing shop. It’s now live at facilities across the globe.\n\n**_Ask:_** Do you know anyone who owns or runs a manufacturing plant, warehouse, or industrial facility? I'd love an intro! Email [**justin@textsidekick.com**](mailto:justin@textsidekick.com) or [**book a demo**](https://calendly.com/justin-textsidekick).\n\nCheck out our launch video:\n\n\n\n## ❌ The Problem\n\nI grew up in my dad's manufacturing plants and spent summers working on the factory floor at EDS Manufacturing.\n\nHere's what I watched happen repeatedly. A machine goes down, everyone's waiting, and the person who can help is in a meeting or on another line. Half the time the answer already existed. Nobody could get to it.\n\nWhy it keeps happening:\n\n* **No computer access.** Nobody on that floor has a company login or an email address, so none of the plant's software reaches them.\n* **The answers are scattered.** An SOP in a binder, a manual on a shared drive few have permissions to, a safety procedure someone printed and taped to a wall in 2019.\n* **The best answers were never written down.** Thirty years of tribal knowledge lives in one guy's head, and when he retires it leaves with him.\n* **So the same questions get asked over and over.** Shift after shift, and every one of them costs somebody their afternoon.\n\nThere are 239,000 manufacturing plants in the US, and only 29% of the people working in them have advanced digital skills. Any tool that requires a download, a login, and training makes adoption difficult.\n\n## ✅ Our Solution\n\nWorkers text the Sidekick phone number. Problems, photos, voice memos, in any language. No app to download, no account to create, nothing to learn. Every worker on the floor already knows how to send a text, which is why adoption isn't a fight.\n\n* **Answers from your own documents.** SOPs, manuals, safety procedures, tribal knowledge. Sidekick responds in the worker's language, in seconds.\n* **Creates and routes the work order.** The issue gets logged and sent to the right person, without anyone needing a laptop.\n* **Syncs with the software you already run.** Sidekick pulls from and writes to your existing systems instead of replacing them, and integrates directly through PLC and SCADA systems so the floor and the software finally see the same thing.\n* **Captures tribal knowledge.** Every exchange builds a searchable knowledge base the company owns, so the know-how stays when the veteran leaves.\n\nHere's a full walkthrough:\n\n\n\n## 👤 The Team\n\nI'm Justin, founder and CEO. I'm the third generation in a manufacturing family, and I've been around plant floors since I was a kid. I studied Computer Science at the University of Pennsylvania, worked in finance at Arm, and left both to build Sidekick after watching the same problem play out on every floor I'd been on.\n\n## 🙏 Our Ask\n\nIf you answer \"yes\" to any of these, I'd love your help:\n\n* **Do you know anyone who owns or runs a manufacturing plant, warehouse, or industrial facility?** Even a name and a \"you two should talk\" goes a long way.\n* **Have you sold software into manufacturing?** I'd love to hear what actually worked and what didn't.\n\nContact me at [**justin@textsidekick.com**](mailto:justin@textsidekick.com) or [**book a demo here**](https://calendly.com/justin-textsidekick)**.**", "url": "https://www.ycombinator.com/launches/SNH-sidekick-ai-agent-that-handles-frontline-operations-over-text", "votes": 7, "created_at": "2026-08-07T15:00:00.438Z" } ] }, { "id": 32122, "name": "Donkey", "slug": "donkey", "former_names": [ "Prelude" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8bacc206e6479ad9ca5809a5242ecdf78c6f5535.png", "website": "https://donkey.trade", "all_locations": "San Francisco, CA, USA", "long_description": "Donkey is the AI-native trading company. Upload a buying list and we land the whole container at one locked, delivered price, tariffs included. You buy from Donkey: one contract, one company responsible for everything between the factory floor and your door. Our own people check the cartons before the factory gets paid, and the balance is due when the goods are accepted at your dock.\r\n\r\nSmall businesses buy imports through three or four middlemen, each adding 15 to 30 points, because none of them can fill a container on their own. Big enough to buy pallets, never big enough to buy the box. Quotes float with freight, FX and tariffs and live 15 to 30 days.\r\n\r\nA trading company is rooms of people on the phone with factories, forwarders and brokers. Donkey runs that as one engine. It finds the real factory behind the customs record, stacks duty line by line, packs the container on weight and cube, and returns one number that holds from signature. Next comes the shared container: small buyers fill one box together at container prices, and every container earns better factory terms for the next one.\r\n\r\nTeam in San Francisco and Wuhan, English and Mandarin. If your business buys pallets of anything imported, send us your buying list.", "one_liner": "The AI-native trading company: factory prices, delivered, one number", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1784315538, "tags": [ "Logistics", "Manufacturing", "Supply Chain", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United States of America", "America / Canada", "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/donkey", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/donkey.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/thedonkeytrade/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8bacc206e6479ad9ca5809a5242ecdf78c6f5535.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/83521fec3b262b8bc72bd6db93e75881b4fb1a0a.png" ], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 3038319, "full_name": "Benjamin Martindale", "title": "Founder/CEO", "founder_bio": "Grew up in his family's importing business in Toronto. Advised Chinese heavy-machinery giants on selling into the West and ran a Wuhan office in Mandarin. Featured on Mango TV, one of China's largest broadcasters: factory-floor segments and a named 13-minute profile. Founded a Toronto marketing company: $4M of construction deals closed in six months. Finance at Rotman, UofT, one credit short.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/benjamin-martindale/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/045809463bf1d66616681e28482ee5bad8d1f20a.jpg" }, { "user_id": 3041470, "full_name": "Minghao Tan", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO. Donkey buys factory-direct in China and sells delivered to US importers. Customs records are public. We read them, flag the trading company markup, and quote the same parts straight from the factory that makes them. QC on the floor before the factory gets paid.\nI build the data side: parsing raw customs filings, separating real factories from shells and forwarders, and the software the whole trade runs on. \ndonkey.trade", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/james-tan-5a4b07224/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/81a0230e7bc211c76037d8cb1aeb802632abf5c4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111184, "title": "Donkey — the AI-native trading company", "tagline": "The AI-native trading company: factory prices, delivered, one number.", "body": "Everything gets cheaper by the container. Big companies buy the box. Small businesses buy from the people who bought the box.\n\nDonkey turns the container into a cart. Upload your buying list and see every landed price instantly, tariffs and delivery included. Our engine packs the order, and when the load needs a bigger box, a second container steps in. When you sign, the price holds.\n\nYou buy from Donkey. One contract, one company responsible for everything between the factory floor and your door. If costs move under your locked price, that's our problem. And our own people are on those factory floors, checking what goes into the box before it ships.\n\nOur AI agents read public customs records to find the real factories and pull their quotes. Duty gets stacked line by line. The pricing math is deterministic, not AI, so the number you see is the number you pay. Factory pricing and terms improve with volume, and Donkey's volume grows with every container.\n\nA home builder in Oakland put 15 SKUs into one container with us and saved 38% versus buying piecemeal from distributors. We're starting with the people who build.\n\nWe're Ben and James. Ben grew up in his family's industrial supply business and helped Chinese industrial giants like Sany and Zoomlion sell into Western markets. James built agent systems for industrial supply chains at InstaLILY. We’ve lived both ends of the container.\n\nIf your business buys inventory, bring us your buying list. [donkey.trade](http://donkey.trade)\\\n", "url": "https://www.ycombinator.com/launches/SvI-donkey-the-ai-native-trading-company", "votes": 9, "created_at": "2026-08-19T18:00:00.190Z" } ] }, { "id": 32123, "name": "HERA", "slug": "manufacturingintelligence", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/caa902826145e78311e27007937976e8663a9265.png", "website": "https://www.manufacturingintelligence.org", "all_locations": "San Francisco, CA, USA", "long_description": "At Hera, we build tools that help heavy engineering teams bring products to market up to 20× faster. Today, we work with manufacturers of data center ancillary equipment, renewable energy systems, robotics, heat exchangers, power plants and pressure vessels.\r\n", "one_liner": "We make sure every factory in the world builds without mistakes.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1784416117, "tags": [ "B2B", "Design", "Design Tools", "Manufacturing", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "American manufacturers lose an estimated $285,000 annually to poor quality for every $10 million in revenue. At the same time, the industry is losing the engineers who know how to prevent those losses. Nearly 4 million manufacturing jobs will need to be filled by 2033 as experienced workers retire, and almost half are expected to go unfilled. Much of the expertise required to review complex engineering drawings exists only in the heads of senior engineers who are leaving the workforce.\r\n\r\nWe're both engineers who grew up watching this firsthand. After more than 200 conversations with manufacturing engineers, quality engineers and machinists, we're building software that captures that expertise by automatically reviewing engineering drawings against ASME standards and company-specific rules before they ever reach the shop floor." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "We're building the largest repository of engineering judgment in the world. We tailor each company's checks to their own standards, the kind usually mastered by only a handful of senior engineers. We turn that knowledge into software every plant can use the same week.\r\n\r\nWith success, the physical things the world depends on get built 10x faster, and a retiring generation's expertise is never lost." } ], "url": "https://www.ycombinator.com/companies/manufacturingintelligence", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/manufacturingintelligence.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/heraengineer/posts/?feedView=all", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/caa902826145e78311e27007937976e8663a9265.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0f48ca5529aa1b18d9d6d0b656ed5b0bcfae271f.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/dda0e108df1d005a8106e912cf690d30e4643294.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1972660, "full_name": "Meera Patel", "title": "Founder/CEO", "founder_bio": "CEO of HERA. Previously delivered projects for Pfizer and TE Connectivity, and built factory automation systems used by millions. ML research and Industrial Engineering at UW.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/meera-patel-92704b207/", "x_url": "https://x.com/lockedincheetah?s=21", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4f51e71bee8d216d4bfee5f0f7eb14687afb9605.jpg" }, { "user_id": 3352287, "full_name": "Noelle So", "title": "Founder/CTO", "founder_bio": "Co-founder of HERA. Built water infrastructure at 19 serving companies behind 6% of Philippine GDP. Previously developed software for engineering facilities at TE Connectivity & Wyze Labs. Former machine learning and industrial engineering researcher at UW.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/noelle-so-055474140/", "x_url": "https://x.com/noelleyso", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2a0cf52a331c47b6a753767b0bdf41c846502342.jpg" } ], "jobs": [ { "id": 108320, "title": "Industrial Software Engineer", "url": "https://www.ycombinator.com/companies/manufacturingintelligence/jobs/ffZp9fi-industrial-software-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "JavaScript", "CAD Design", "AI Agents" ] } ], "news": [], "launches": [ { "id": 107030, "title": "HERA: catches thousand-dollar drawing mistakes before the shop floor.", "tagline": "Hera reviews every drawing against your factory's own standards and the ASME code, catching expensive mistakes and preventing rework 10x faster than manual review.", "body": "**TL;DR: Every custom metal part starts as a drawing, and every drawing gets checked by hand before anyone builds it. Hera does that check in minutes instead of a full day, and catches the mistakes that turn into scrapped parts.**\n\n[**https://youtu.be/J_5NRjkou3Y**](https://youtu.be/J_5NRjkou3Y)\n\n**The Problem**\n\nCustom mechanical parts run on 2D drawings. Whether you're an OEM releasing drawings to suppliers, or an aerospace supplier answering to source inspection, every drawing has to be checked against ASME/ISO standards and GD&T requirements before it goes anywhere near a machine.\n\nRight now, that review is done by hand, and usually by the most senior engineer in the building. And a single missed tolerance callout or an ambiguous datum reference can mean a scrapped part, a blown schedule, or a shipment that fails inspection.\n\nWe heard the same story from a pressure vessel fabricator, a semiconductor tooling shop, and a medical device manufacturer: reviews take days. This isn't because the work is hard. There's simply no good way to do it faster without cutting corners, and nobody cuts corners on a drawing that could scrap a $40,000 part.\n\n**Our Solution**\n\nHera is a brain for manufacturing. Any real advance in manufacturing has to be grounded in two things: the standards parts are held to and the reality of the shop floor. So that's what we built Hera on.\n\nUpload a drawing and Hera checks GD&T callouts, tolerance stack ups, and title block requirements against ASME Y14.5, relevant ISO standards, and your own design intent. The result is a drawing your shop can build right the first time, without the delays and rework that eat margins. Every review also makes Hera more valuable, creating a system of record for drawing errors that helps teams build better models for engineering processes.\n\n**While the current review takes days, Hera takes minutes… and gets better by the drawing.**\n\n**Us**\n\n**Noelle** grew up in an industrial park her family runs in the Philippines and has been on factory floors her whole life. At 19, she built a water-treatment facility that added 40 L/s of capacity to the park. \n\n**Meera** has spent years around manufacturing: at her family's plants, and on projects at Pfizer and TE Connectivity, where she built a SOTA discrete-event simulation. She taught herself PLC programming and C++, and has published ML research at UW.\n\nWe actually met on a bus to a factory tour, and have been best friends ever since!\n\n![uploaded image](/media/?type=post&id=107030&key=user_uploads/3352287/d05e9e1a-57c8-4e43-91d7-75e42a004261)\n\n**Our Ask** If you run or work at a factory (aerospace, semiconductor, medical device, pressure vessel, or custom machinery), we want to visit you! If you invite us out to see your shop, we’ll come by in person and bring you a **customized Hera Swiss Army knife**.\n\nReach out to us at [**founders@manufacturingintelligence.org**](mailto:founders@manufacturingintelligence.org).", "url": "https://www.ycombinator.com/launches/RqI-hera-catches-thousand-dollar-drawing-mistakes-before-the-shop-floor", "votes": 138, "created_at": "2026-07-24T15:18:23.996Z" } ] }, { "id": 32128, "name": "Mass Magnetics", "slug": "mass-magnetics", "former_names": [ "Mass Energy Company" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/26161cef0e683292e39a5da2d6258b38702473a0.png", "website": "https://massmagnetics.com/", "all_locations": "Boston, MA, USA", "long_description": "Mass Magnetics turns recycled rare-earth scrap into high-performance permanent magnets, made in America. The materials we supply are the backbone of electric motors, sensors, speakers, hard drives, and electronics.\r\nOur process enables DFARS-compliant magnets for defense, aerospace, and industrial manufacturers who demand domestic supply without compromising on quality.\r\nOperations in Greater Boston, MA (Greentown Labs) and Columbus, IN.", "one_liner": "USA-made magnetics for robotics and defense. ", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1786735839, "tags": [ "Hard Tech", "Robotics", "Drones", "Manufacturing", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Defense" ], "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/mass-magnetics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/mass-magnetics.json", "year_founded": 2026, "city": "Boston", "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/26161cef0e683292e39a5da2d6258b38702473a0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Vivian Midha Shen", "url": "https://www.ycombinator.com/people/vivian-midha%20shen" }, "founders": [ { "user_id": 3652354, "full_name": "Eric Silver", "title": "Founder/CEO", "founder_bio": "Founder at Mass Magnetics. Worked in pilot cathode production for lithium-sulfur battery chemistries. Now I'm fixing American magnet supply chains. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/energyeric/", "x_url": "https://x.com/2998x10tothe8", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8160b42bdee61a0dff0fef65dd723b8cae326e3.jpg" }, { "user_id": 3637161, "full_name": "Matthew Groll", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at Mass Magnetics. Former NASA/Columbia/MIT. Previously worked on thermal systems and guidance/navigation at NASA Johnson Space Center for ISS and Artemis lunar missions. Also previously worked as a Member of Technical Staff at Draper Laboratory. Studied Mechanical Engineering at Columbia, captaining the Formula SAE team and Robotics Club, then earned a Masters in Manufacturing from MIT.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matthew-groll/", "x_url": "https://x.com/matthewxgroll", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/68e632830dda51ab14dec0fac18967c93ed5c8ed.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110611, "title": "Mass Magnetics: USA-made magnets", "tagline": "Vertically integrated magnet manufacturing for aerospace, robotics and defense.", "body": "### **TL:DR; Mass Magnetics makes American magnets in minutes.**\n\n🧲🧲🧲🧲🧲🧲🧲🧲🧲🧲🧲🧲🧲🧲🧲🧲🧲🧲🧲🧲🧲🧲🧲🧲🧲🧲\n\n![uploaded image](/media/?type=post&id=110611&key=user_uploads/3652354/be41c9e5-378d-452f-a111-10380035f14d)\n\n**Every electric motor runs on rare-earth magnets.** EVs, drones, robots, wind turbines, guided munitions: nearly all of them are dependent on Chinese magnets. On January 1st, 20270, [regulation changes will make it illegal to deliver anything that walks, drives, or flies to US Defense if it contains a magnet produced in covered countries like China.](https://www.massmagnetics.com/comply) The domestic supply chain meant to replace it doesn't exist yet. **Mines take a decade to permit, and the ore they pull up leaves radioactive tailings behind, making permitting magnet mining a nightmare.**\n\nWe’re[ ](https://www.linkedin.com/in/energyeric)the founders, [Eric Silver](https://x.com/metalscontent) and [Matthew Grol](https://www.linkedin.com/in/matthew-groll/)l (left and right in the pic below). We’ve known each other since grade school. Since then, Eric’s built multiple battery pilot production lines and materials science labs in the Midwest for NSF-funded companies. Matthew’s built exquisite aerospace gear including Moon-regolith melters and ultra-precise guidance systems for the world’s foremost labs at NASA, Draper, and MIT. **Together we’re making one bet: America's rare-earth problem isn't a mining problem.**\n\n![uploaded image](/media/?type=post&id=110611&key=user_uploads/3652354/2046e9de-2db6-47e8-91fc-651e31e5a834)\n\n**Mass Magnetics’ unfair advantage is sitting in end-of-life electric vehicles, hard drives, and industrial equipment.** The team uses AI models and robotics trained on real scrap to sort metallurgy by exact grade and chemistry. Then, a rapid-sintering process takes that reclaimed mass to a finished magnet in 3 minutes, where conventional approaches take over 4 hours. The result is a magnet as strong as anything imported, with no radioactive footprint or bureaucratic permitting, fully compliant for US defense.\n\n**If you build robots, drones or motors visit our site and reach out at [outreach@massmagnetics.com](mailto:outreach@massmagnetics.com) and get your magnets.**\n\n![uploaded image](/media/?type=post&id=110611&key=user_uploads/3652354/797eff3c-6d9d-4ffc-894b-664aece1ba74)\n\n", "url": "https://www.ycombinator.com/launches/Sm3-mass-magnetics-usa-made-magnets", "votes": 7, "created_at": "2026-08-18T14:30:00.079Z" } ] }, { "id": 32137, "name": "Kara", "slug": "kara", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1db7948d6861e68f3fa79c81509a04c4aea01614.png", "website": "https://karalabs.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Kara is building diamond semiconductors. \r\n\r\nWe begin with growing ultra-high purity diamond wafers for advanced hardware. Used in data centers, spacecrafts, RF systems, and quantum hardware, our diamond moves heat up to 5× better than copper, helping critical systems run cooler, faster, and more reliably. \r\n\r\nDiamond has spent centuries as a symbol. We are turning it into infrastructure.", "one_liner": "Making Diamond Semiconductors", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1785349021, "tags": [ "Hardware", "B2B", "Manufacturing", "Advanced Materials" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kara", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/kara.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kara-labs", "x_url": "https://x.com/KaraLabsAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1db7948d6861e68f3fa79c81509a04c4aea01614.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": 3669602, "full_name": "Aarin Jhaveri", "title": "Founder/CEO", "founder_bio": "CEO @ Kara. 5th-generation diamond manufacturer. Sold millions worth of natural and lab-grown diamonds across the value chain. UC Berkeley Economics and Data Science. Industrializing diamond for the compute age.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aarin-jhaveri/", "x_url": "https://x.com/AarinJhaveri", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bc3c1c5bffdd62cc5f29c634a07cf5bfca574fa3.jpg" }, { "user_id": 3669310, "full_name": "Anuveer Chadha", "title": "Founder", "founder_bio": "Founder @ Kara (S26) | Built diamond quantum sensing and computing systems @ LBNL with the Department of War | ML for chemical formulations @ Regeneron | Berkeley Chemical Engineering Dropout", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anuveerchadha/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/11821dd27eb4615b23cd032eb75060954c633b4f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109988, "title": "Kara: Making Diamond an Engineering Material", "tagline": "Kara grows and engineers diamond wafers for thermal management, semiconductor and quantum applications", "body": "**TL;DR:** We grow high-purity diamond wafers for scientific and industrial applications. Our diamond thermal wafers can be used in aircraft, spacecraft, RF electronics, and lasers to move heat dramatically better than conventional materials. We’re helping hardware run cooler, faster, and more reliably with diamond that is 5× more thermally conductive than copper.\n\nHere is a link to our launch video: \n\n\n\n**The Problem**\n\nThe world’s most valuable hardware systems are limited by how quickly they can remove heat.\n\nFor AI chips, that means expensive GPUs throttle and deliver less compute. In aircraft and satellites, it means carrying more cooling mass. In RF systems and lasers, it limits sustained output power.\n\nAdding more cooling costs space, and energy, and sometimes is simply not possible.\n\n**What We Built**\n\nDiamond is usually something you wear. We make it something engineers can build with.\n\nDiamond conducts heat up to **5× better than copper while weighing \\~60% less** for the same volume. It is electrically insulating and stable in extreme environments.\n\nToday we manufacture:\n\n* Diamond heat spreaders for AI and high-performance computing\n* Ultra-high-purity diamond wafers for thermal, photonic and quantum applications\n* Diamond-metal composites (copper and aluminium) for thermal management\n* Metallized and bondable diamond plates\n* Custom-engineered diamond components\n\nWe are now producing custom samples under pilot agreements and purchase orders for thermal, electronic, aerospace, and quantum applications.\n\nSilicon transformed computing when we learned to manufacture it with extreme purity and control. Kara is doing the same with diamond. Today, our ultra-high-purity diamond pulls heat away from silicon chips.\n\n**Tomorrow, Kara’s control over purity and defects unlocks diamond as the ultimate semiconductor.**\n\n**Why us**\n\n[@Aarin Jhaveri](https://bookface.ycombinator.com/user/3669602) is a fifth-generation diamantaire who has sold millions of dollars in natural and lab-grown diamonds and worked across the supply chain.\n\n[@Anuveer Chadha](https://bookface.ycombinator.com/user/3669310) is a chemical engineer who has worked on diamond quantum sensing and advanced-materials research at Lawrence Berkeley National Laboratory with the Department of Defense and Department of Energy.\n\nDiamond is our unfair advantage. We know how to grow, control, and engineer it far beyond jewelry.\n\n**Our ask**\n\n**Today, we're looking for introductions to engineers building hardware that is limited by heat.** \n\nSpecifically:\n\n* AI accelerator packaging teams\n* Advanced packaging / OSAT engineers\n* Aerospace, space, and defence electronics\n* Data-centre infrastructure companies\n* High-power RF and GaN teams\n\nIntroduce us to the engineer responsible for the hottest, hardest-to-cool hardware, especially where size, weight, or power makes cooling difficult. \n\nWe’ll build them a custom diamond sample to test.\n\nEmail us at [founders@karalabs.ai](mailto:founders@karalabs.ai) or book time here: \n\n**Diamond spent centuries as a symbol of “extraordinary”. We are making it something the world can build with.**", "url": "https://www.ycombinator.com/launches/Sc0-kara-making-diamond-an-engineering-material", "votes": 85, "created_at": "2026-08-11T20:00:00.166Z" } ] }, { "id": 32194, "name": "GUILD", "slug": "guild", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/efd3ccc04f842f9a3a1235ba1ef66aa4447fc993.png", "website": "https://www.guildai.co", "all_locations": "New York City, NY, USA", "long_description": "GUILD is an AI-Native Defense prime making aerospace parts faster and cheaper. We win defense contracts, automate manufacturing, and deliver to the government's door.", "one_liner": "Making Defense Manufacturing Faster and Cheaper", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1778869862, "tags": [ "Manufacturing", "Supply Chain", "Defense", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Defense" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/guild", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/guild.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/guildai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/efd3ccc04f842f9a3a1235ba1ef66aa4447fc993.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/77/1789083552-66c43d504ac5635e52a1f9823fa8ef5a/f119a8c82a28d76d89468609e5d0285b.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022739Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=670ee52c4dfde4e363ba0bb12bdec7abf466e2511a9bc2abc2f9f929d0dd4501", "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e55fc87a71d9e406a0a8fdfdd14ba685fc117785.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 3161464, "full_name": "Kaya Celebi", "title": "Founder/CEO", "founder_bio": "Founder at GUILD. Previously AI Tech Lead at Hartree Partners and ML Engineer at Morgan Stanley.\nMSc in Computer Science from Columbia, dual BSc in CS and Statistics from Duke.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kaya-celebi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b48b1bdd435cb7bc03969c64b95f41c522af52d.jpg" }, { "user_id": 3163115, "full_name": "Erim Gurlemis", "title": "Founder/COO", "founder_bio": "Founder at GUILD. Previously Associate in the Global Investment Office at Morgan Stanley, where he worked on wealth management development and engagement . BA in Biological Studies from Rutgers University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/erim-gurlemis-b13b22204/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f0c16bff7dc6fd5301ab5b66684588bf18413c9f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109739, "title": "GUILD - New Generation of Defense Contractor", "tagline": "Making aerospace and naval parts faster and cheaper for defense", "body": "Hey everyone 🙂 - we’re [@Kaya Celebi](https://bookface.ycombinator.com/user/3161464) and [@Erim Gurlemis](https://bookface.ycombinator.com/user/3163115) , co-founders of [@GUILD](https://bookface.ycombinator.com/company/32194) .\n\n**TL;DR**\n\n[@GUILD](https://bookface.ycombinator.com/company/32194) **is an AI-native defense contractor making aerospace parts faster and cheaper than today’s supply chain**. We win government contracts, turn technical requirements into production-ready workflows, and execute through factory integrations that eliminate the weeks normally lost between RFQ and factory floor. \n\n![uploaded image](/media/?type=post&id=109739&key=user_uploads/3161464/3cf82073-c0e0-4c42-8d2b-d4fab3e159ca)\n\nWe’re building GUILD in two connected motions:\n\n* First, we win and execute government manufacturing contracts directly.\n* Second, we help defense hardware companies turn designs, technical packages, and supply-chain requirements into executable procurement and production workflows.\n\nIn both cases, the goal is the same: move from technical requirements to manufactured parts faster, with less cost and less operational drag.\n\n**THE PROBLEM**\n\nGovernment contracting is fragmented, overcomplicated, and inaccessible. That makes defense manufacturing slower and more expensive than it should be.\n\nThe government waits too long and pays too much for parts the country already knows how to make. Meanwhile, the supplier base is shrinking: DoW’s reported in 2023 that small-business participation in the defense industrial base has fallen by over 40% in the last decade.\n\n**Less competition means fewer options, higher prices, weaker supply chains, and more critical work stuck before it ever reaches a production floor.** \n\n**THE CAUSE**\n\nThe defense supply chain is not wired together. Government demand, technical requirements, manufacturer capability, financial markets, and execution data all live in different places, so every contract becomes a manual search problem - stuck in PDFs, portals, spreadsheets, and domain knowledge.\n\nThe hard part is not finding government opportunities. Anyone can have Claude build a scrape-bot for [SAM.gov](http://SAM.gov) and call it a pipeline. **The hard part is turning messy technical requirements into a manufacturing decision, then executing the work.**\n\nThis favors large incumbents who can throw teams of people at the problem. Smaller manufacturers usually cannot. They either spend weeks decoding the package, price in too much risk, miss the timing, or never enter the market at all.\n\n**OUR APPROACH**\n\n**GUILD is the prime contractor**, not a marketplace or lead-gen layer for manufacturers. We win government work directly. We break the technical package into the operational steps required to produce and deliver the part. Then we execute.\n\n**The core of this is our company brain: a structural ontology of defense manufacturing.**\n\nAI-native, to us, means the company documents and learns from its own execution. Every artifact around a contract - requirements, quotes, supplier interactions, decisions, awards, workflows, and deliveries - becomes structured memory. Our agents traverse that graph to understand what a part is, how it can be made, what it should cost, and what needs to happen next.\n\nThe company brain compounds. Every bid makes the next bid smarter. Every factory handoff improves the next handoff. Every delivery teaches the system what actually happened, not just what the plan said. That is what lets us move from document parsing to execution as the contractor responsible for the work.\n\n**WHAT WE’VE BUILT**\n\nWe’ve built the company brain that turns technical packages into executable manufacturing workflows. It ingests messy contract packages, understands the requirements, prices work against known factory capability, generates the production path, and keeps improving as new parts, factories, and outcomes enter the system.\n\nThis is not a hard-coded set of workflows. The system helps us build and refine new workflows as it observes more of the defense manufacturing knowledge space. GUILD Forge is the interface for this: a procurement and production planning system for defense companies that need to move from technical design to supply-chain execution.\n\n**WHAT WE MAKE**\n\nOur current focus is aerospace precision metals. That includes jet and engine components, structural and wing-adjacent parts, housings, brackets, fittings, retainers, and the simple but critical hardware that sits inside larger aerospace systems.\n\nThese parts are not always glamorous, but they are everywhere. When their supply chain is slow, expensive, or opaque, the larger programs above them slow down too.\n\n**THE TEAM**\n\n![uploaded image](/media/?type=post&id=109739&key=user_uploads/3161464/9f3944e0-0a34-426b-a920-033542ce928f)\n\nKaya has an MS in Computer Science from Columbia and studied CS + Statistics at Duke. His background is in ML research, AI modernization, and quant work: he worked on AI modernization and quantitative systems at Morgan Stanley, and later led an AI team at hedge fund Hartree Partners. Coming into defense from the outside forced him to learn the industry from first principles and turn that learning into GUILD's technical architecture.\n\nErim studied Biological Sciences at Rutgers University, where he conducted research on metabolism before working in pharma consulting supporting oncology research. He then pivoted into finance at Morgan Stanley. There, he led full-scale AI implementation for Wealth Management & Advisory. At GUILD, he turns the messy reality of defense manufacturing, supplier coordination, pricing and execution into operating requirements our system can handle.\n\n**THE ASK**\n\nWe’d love intros to defense companies that need better access to procurement, people with government or program connections, and teams dealing with supply-chain pain around technical packages, suppliers, compliance, packaging, or delivery.\n\nWe’re especially interested in meeting defense hardware companies, aerospace manufacturers, primes, and manufacturers with end-to-end automation capability - the kind of partners where GUILD can integrate directly into the factory operating layer, not just send PDFs back and forth.\n\nEmail us at [founders@guildai.co](mailto:founder@guildai.co) or visit .\n\n\\-  Kaya + Erim 🧿", "url": "https://www.ycombinator.com/launches/SXz-guild-new-generation-of-defense-contractor", "votes": 23, "created_at": "2026-08-08T17:00:00.905Z" } ] }, { "id": 32200, "name": "Bizmark", "slug": "bizmark", "former_names": [ "LeanLog" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee2b3b896d33b5af63938bfada70f7377592ac49.png", "website": "https://bizmark.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Hey YC! We're Bizmark. I (Rodrigo) grew up in a factory, watching my mum run everything through Excel and email.\r\n\r\nThat’s why we’ve built Otto, the OpenClaw for manufacturers.\r\n\r\nIn a few days, he learns from your systems and spreadsheets to take over repetitive work in procurement, quoting, and production planning. \r\n\r\nOtto is live at multiple factories, bringing in $108k in annual recurring revenue. Last month, he worked the equivalent of 9 full-time employees.\r\n\r\nI did CS at UChicago and built a distribution business from 0 to $60M.\r\n\r\nMy cousin and cofounder Oscar did CS at Stanford and deployed AI for the US Air Force, Amazon, and the factories of Johnson & Johnson and Intel.\r\n\r\nThere's a quarter of a million manufacturers in the US, making this a $25B market.\r\n\r\nIn 5 years, they will all run on Otto-pilot.", "one_liner": "OpenClaw for manufacturers", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1784331710, "tags": [ "Manufacturing", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/bizmark", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/bizmark.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee2b3b896d33b5af63938bfada70f7377592ac49.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 343702, "full_name": "Rodrigo Mosqueira", "title": "Founder/CEO", "founder_bio": "I grew one of the largest e-commerce logistics startups in Brazil from zero to $60M in revenue running 100k orders/month across 10k SKUs as the first employee. Prev. CS at UChicago, MBA from Chicago Booth.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/moag/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1ea1768af0b16fd80a12279f323138a1d48501d7.jpg" }, { "user_id": 1156158, "full_name": "Oscar Aguilar", "title": "Founder/CTO", "founder_bio": "I've implemented machine learning and optimization at Intel, Amazon, and J&J, and deployed AI for the Department of War. Studied operations Research at Stanford and Georgia Tech.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oscar-aguilar-76bb15170/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/02e433f8d34d4f2fff110b7d3eeb44d9f36d1dba.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 107941, "title": "Bizmark – Transforming physical industries", "tagline": "The operating system for companies that make, move, or sell physical goods", "body": "[Bizmark Launch](https://youtu.be/-5g3wv2OE2g)\n\nHey everyone, we're Rodrigo and Oscar, founders of Bizmark (S26).\n\n**TL;DR:** Bizmark is the operating system for companies that make, move, or sell physical goods. It connects the systems, spreadsheets, and knowledge a company already has, and turns them into optimized decisions and automated workflows: quotes priced in seconds, schedules that reflow when a machine goes down, inventory balanced between service levels and cash. Bizmark adapts to how each company operates, not the other way around. Working product in weeks, not years. Some of the most innovative American companies use Bizmark to transform their operations. Ask: intros to decision makers at manufacturers, distributors, and retailers.\n\n**The problem**\n\n> _“Quotes take too long, so I lose revenue. Or I quote too fast and give away margin.”_\n\n> _“Days of inventory are critical for my business, but I’m not sure I’m buying the right quantities at the right time, or getting the best supplier terms.”_\n\n> _“An urgent order comes in and I do not know what to run next. I’m hitting max capacity constantly, but I’m not sure I’m using my equipment and labor in the most efficient way.”_\n\nAfter 150 of these conversations, we've realized these problems share the same cause. Legacy ERPs force operators into templates that don’t reflect how the business runs, while custom implementations often run to years and seven-figure budgets. As a result, decisions that directly affect revenue, margins, and service levels are made from spreadsheets, delayed reports, and fragmented tools, with less information than the company has, often by whoever is closest, not whoever knows best.\n\n**What we built**\n\nBizmark is the operating system for companies that make, move, or sell physical goods. It connects the systems, spreadsheets, and knowledge a company already has, and turns them into optimized decisions and automated workflows. Bizmark adapts to how each company operates, not the other way around. And customers get a working product in weeks, not years.\n\n**Here’s how some of the most innovative American companies use Bizmark to transform their operations:**\n\nA spec-heavy RFQ lands in the inbox. Bizmark reads it, and a quoting engine prices it against inventory, capacity, and customer history. It returns a customer-ready quote in seconds. The team approves it, it goes out, and when the customer says yes, the order enters the system without any retyping.\n\nThen the order runs. Bizmark schedules it into your machines and crews against your objectives, using the same estimates the quote was priced on. When a machine goes down or a rush order lands, the plan reflows and the new sequence reaches the queues that run the operation. The job runs, passes quality, and ships.\n\nThe order drew down inventory. Bizmark forecasts what you will sell next, holds your days of inventory in balance – enough for minimum service levels while protecting cash – and decides what to buy, when, and from whom. It sends RFQs to qualified suppliers and compares what comes back. The team chooses, and the PO books straight into the system.\n\n**Who we are**\n\nWe’re cousins who love seeing how things get built in the real world.\n\nRodrigo grew one of the largest e-commerce logistics startups in Brazil from zero to $60M in revenue running 100k orders/month across 10k SKUs as the first employee. Prev. CS at UChicago, MBA from Chicago Booth.\n\nOscar led process optimization at Intel, Amazon, and J&J, and deployed AI for the U.S. government. Prev. Operations Research at Stanford and Georgia Tech.\n\n**Ask**\n\nIntros to decision makers at manufacturers, distributors, and retailers.", "url": "https://www.ycombinator.com/launches/S4z-bizmark-transforming-physical-industries", "votes": 8, "created_at": "2026-07-28T17:50:56.018Z" } ] }, { "id": 32261, "name": "Rasyn", "slug": "rasyn", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ffda7ce34aee49cfec95fa8aef9ed1a70e4c3e28.png", "website": "https://www.rasyn.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We build foundational AI models for chemistry. Almost nothing you buy is a single chemical. Products like datacenter coolant, GPU thermal paste, paint, and glue are formulations, which are mixtures of around ten ingredients each, and demand for them has grown quickly because of AI and EVs.\r\n\r\nDesigning a new formulation is essentially a search problem, because there are more possible mixtures than anyone could ever test, and none of them can be predicted in advance. As a result, bringing a single formulation to market today takes three to five years of trial and error in a lab.\r\n\r\nOur models predict how a mixture will behave far faster than the standard methods used today, which lets us design new formulations in weeks rather than years, at a fraction of the cost. To prove this, we used them to invent three chemicals that never existed before, including a PFAS-free coolant for datacenters, and we have since synthesized and patented all three.\r\n\r\nWe are already working with some of the largest manufacturers to design formulations for them, and we are building our own lab to generate the data that will train our next models.", "one_liner": "Making chemicals 100,000x faster", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1785736030, "tags": [ "Deep Learning", "Biotech", "Manufacturing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rasyn", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/rasyn.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rasyn-ycs26/", "x_url": "https://x.com/rasyn_lab", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ffda7ce34aee49cfec95fa8aef9ed1a70e4c3e28.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 3475945, "full_name": "Ansh Tiwari", "title": "Founder/CEO", "founder_bio": "Building AI for scientific discovery | Physics @ Caltech, ex-NASA, Author of 3x ICML papers | Masason Foundation Member", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ansschh/", "x_url": "https://x.com/4n5che", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3629530f2959475271a8d4c059a54c800cccaed5.jpg" }, { "user_id": 972683, "full_name": "Ayush Chauhan", "title": "Founder/CTO", "founder_bio": "AI for chemical discovery | ex-Speechify (50M+ users) & 2x YC engineer | NeurIPS-published ML research, used by OpenAI & Meta", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ayushchauhan0203/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f433dd02a059cbf14b5ec7764ee6592562cddc2.jpg" }, { "user_id": 3481804, "full_name": "Daood Hashmi", "title": "Founder", "founder_bio": "Researching in the Arnold and Marcus Lab at Caltech", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daood-hashmi/", "x_url": "https://x.com/hash_me_NOT", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/951a6c5546701cb614078a22a24b949c93cf48a8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108802, "title": "Rasyn: One place to run any Chemistry task", "tagline": "Towards a General Intelligence for Chemistry", "body": "**Hey!**\n\nWe're **Rasyn**, and we built a platform called **Marigold**. Give it any chemistry task in plain language and it pulls the literature, reads your files, picks the tools, sets up and runs the calculations on its own machine, and hands back the numbers along with its reasoning what it did to get them. \n\nIt's live at [app.rasyn.ai](http://app.rasyn.ai); here's a short demo: \n\n\\\n**Here's the team:** \\\nOur team has worked at NASA JPL, and researched with scientists from Nvidia and Deepmind. Our team has worked on softwares serving 50 million users, and their research was used by frontier AI labs including OpenAI and Meta. Our team studies Computational Chemistry at Caltech, has done Total Synthesis for 4+ years, and researched alongside Nobel Laureates, so they have faced these problems firsthand. They'd lose hours deciding which tool to call next, moving outputs between disconnected tools, and running a single program at a time.\n\n**Problem:** \\\nChemistry has countless software. There's one for predicting a structure, another for proposing a route, another for reading a spectrum. None of them talk to each other, so you're stuck feeding outputs between them; this clerical work is where the time goes, none of which is science.\n\n\\*\\*Solution:\\*\\*\\\nWe tried coding agents first. They're built to write software, so a chemistry task gets handled as a scripting problem and the chemistry goes unverified. Marigold checks between steps and stops when something doesn't hold.\n\nIt runs on its own machine, so it installs and executes what it needs. It works with the tools chemists already use, submits jobs to your cluster, and runs on whatever model endpoint you have, so your data can stay in the building. In the demo we hand it four thousand compounds and ask which are worth screening. It does the whole thing itself.\n\nLonger term we're building toward a general intelligence for chemistry. Marigold today reasons over existing tools, and that's where we start.\n\n**The Ask:**\n\nThis is only the first version; it will break. And we'd like it to break in front of chemists, so if you run any sort of chemistry, please try it and tell us where it falls over. \n\nWe'd also love intros to any lab doing chemistry, computational or wet, since we want to sit down and work through a real problem with people. \n\nHappy to answer any questions!", "url": "https://www.ycombinator.com/launches/SIs-rasyn-one-place-to-run-any-chemistry-task", "votes": 9, "created_at": "2026-08-03T19:40:21.411Z" } ] }, { "id": 32584, "name": "Aerogen Systems", "slug": "aerogen-systems", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/235b4dc8ef4a94e38d79ce892c9d55184a2b0224.png", "website": "https://www.aerogensystems.com/", "all_locations": "Ann Arbor, MI, USA", "long_description": "We are building the future of chip manufacturing.\r\n\r\nChips are more advanced than ever, and the features inside them keep getting smaller. But the cleanroom infrastructure supporting their manufacture has not scaled at the same pace. Intel, TSMC, Samsung, and others spend billions building and operating massive cleanrooms, only to isolate their most advanced wafers from the surrounding facility as much as possible.\r\n\r\nWe think that architecture is backwards. Instead of making the entire building cleaner, why not make the machinery itself as clean as possible?\r\n\r\nTalos is our proprietary tool-integrated purification system. It sits directly inside semiconductor equipment and continuously destroys airborne molecular contaminants before they reach the wafer. Instead of fighting contamination by constantly flooding tools with ultra-high-purity nitrogen, Talos keeps the environment inside the machine 10–100x cleaner, without the massive purge-gas bill.\r\n\r\nTalos is powerful on its own, but it is also the foundation for a much bigger vision: the Cleanpipe.\r\n\r\nThe Aerogen Systems Cleanpipe is an ultra-clean interconnect infrastructure that protects wafers as they move from machine to machine across the fab. Rather than relying on a billion-dollar cleanroom to protect every cubic foot of factory space, Cleanpipe creates a controlled environment only where cleanliness actually matters: around the wafer.\r\n\r\nTalos cleans the tools. Cleanpipe connects them. Eventually, we delete the cleanroom and build more advanced chips, at greater scale, with radically less infrastructure. With cleanpipes connecting tools, chip fabs can exist anywhere.", "one_liner": "Modernizing Chip Manufacturing Infrastructure", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1786900126, "tags": [ "Hard Tech", "B2B", "Manufacturing", "Semiconductors" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/aerogen-systems", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/aerogen-systems.json", "year_founded": 2026, "city": "Ann Arbor", "country": "US", "linkedin_url": "https://www.linkedin.com/company/aerogen-systems-company/", "x_url": "https://x.com/AerogenSystems", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/235b4dc8ef4a94e38d79ce892c9d55184a2b0224.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e2f1aeb38c2211e11ef666f05de7b888fd393137.png" ], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 3388722, "full_name": "Noah Vogel", "title": "Founder/CEO", "founder_bio": "Founder & CEO at Aerogen Systems. Previously engineering intern at SpaceX building Starship actuators and at Draper developing advanced mission simulators. BSE Aerospace Engineering from University of Michigan.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/noahvogel/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5153adbbedb2cd7f09db195d1d63de5e64513dea.jpg" }, { "user_id": 3422652, "full_name": "Colin Lavery", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of Aerogen Systems. Previously an electrical engineer at H3D, developing 3D gamma ray imaging systems. BSE Space Sciences and Engineering at the University of Michigan.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/colin-lavery-67b7512a3/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b3f944b8190b3fbc2ca61bd6963d1d3707c6976.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111026, "title": "Aerogen Systems: Building Chip Fabs Without Cleanrooms", "tagline": "Redefining the architecture behind chip manufacturing", "body": "Hi YC!\n\nWe’re [Noah](https://www.linkedin.com/in/noahvogel/) and [Colin](https://www.linkedin.com/in/colin-lavery-67b7512a3/), the founders of [Aerogen Systems](https://www.aerogensystems.com/). We’re building the next generation of clean infrastructure for chip manufacturing.\n\n**TL;DR:** Aerogen Systems makes semiconductor tools clean themselves. Talos, our tool-integrated purification system, continuously destroys airborne contaminants around the wafer, creating 10–100x cleaner tool environments while reducing dependence on ultra-high-purity nitrogen. Over time, Talos becomes the foundation for the Cleanpipe, an ultra-clean interconnect network that lets wafers move between tools without depending on the surrounding cleanroom.\n\n\n\n# **The Problem**\n\n**Chip features keep getting smaller, but cleanrooms do not scale with them.**\n\nSemiconductor manufacturers spend billions building enormous cleanroom facilities, then spend even more trying to isolate their most advanced wafers from the environment they just built.\n\nAs features approach the atomic scale, trace airborne contaminants that were once tolerable can create defects, reduce yield, and disrupt some of the most sensitive manufacturing processes on Earth. Yet the industry's answer has largely been more of the same: cleaner facilities, more filtration, and more ultra-high-purity nitrogen flooding sensitive equipment.\n\n**The proof is in the yield numbers.** 2026 reporting puts Intel’s 18A program between roughly 50% and 65% yield as it pushed the node toward high-volume production. With global semiconductor sales projected to reach **$1.5 trillion** in 2026, every percentage point matters. Improvements in yield and manufacturing efficiency can represent tens of billions of dollars in value.\n\n# **The Solution**\n\nAt Aerogen Systems, we think the industry is approaching this problem backwards.\n\n**The whole factory does not need to be a massive cleanroom.** Only the environment immediately surrounding the wafer does.\n\nTalos is our proprietary, tool-integrated purification system. It sits directly inside semiconductor manufacturing equipment and continuously recirculates and purifies the environment around the wafer. Instead of constantly replacing contaminated gas with more ultra-high-purity nitrogen, Talos destroys contaminants at the point of use, offering 10–100x cleaner tool environments while dramatically reducing dependence on purge gas and consumable filtration.\n\n![uploaded image](/media/?type=post&id=111026&key=user_uploads/3388722/a095a4e2-31a2-4307-b8f1-bca417cb27d7)\n\n_1. Rendering of standalone Talos unit._\n\nBut Talos is only part of the vision.\n\nWith tool-integrated purification units as a foundation, we build **the Cleanpipe: ultra-clean interconnect infrastructure** that protects wafers as they move from machine to machine across the fab. Talos cleans the tools. The Cleanpipe connects tools to each other. Together, they delete the cleanroom and all the expenses that come with it.\n\n# **What We’ve Built**\n\nTalos has progressed through multiple generations of hardware development and is protected by patent-pending IP. We’ve validated the core purification architecture and are now working toward tool integrations, pilots, and commercial deployments with semiconductor manufacturers and equipment companies.\n\n![uploaded image](/media/?type=post&id=111026&key=user_uploads/3388722/a8596c2c-c29b-4271-8d92-85672dce0dc1)\n\n_2. Test results showing Talos bringing industry-standard 6N purification levels down to 8N — a 100x improvement in cleanliness._\n\nThe next step is connecting these purified environments together through the Cleanpipe, creating an ultra-clean path around the wafer from tool to tool and ultimately removing the need to maintain the entire fab as one enormous cleanroom.\n\n# **The Team**\n\nAerogen Systems started as a NASA-backed research group at the University of Michigan, where our team developed the underlying purification technology. \n\nWe have spent the last several years designing, testing, patenting, and rebuilding this technology for extreme manufacturing environments.\n\n* Noah, CEO, worked in manufacturing engineering at SpaceX, where he focused on production rate and yield improvement for the Starship program.\n\n\n* Colin, CTO, previously built advanced particle detectors at H3D and led the team through the earliest design cycles of Talos.\n\n![uploaded image](/media/?type=post&id=111026&key=user_uploads/3388722/4db2a255-30a8-44ee-928b-b07425918094)\n\n# **Our Ask**\n\nWe want to meet semiconductor fabs, equipment OEMs, and manufacturing teams interested in pilots, tool integrations, and commercial deployments. If this sounds like you, please reach out to [hi@aerogensystems.com](mailto:hi@aerogensystems.com)!\n\nWe are building toward a world where fabs no longer need billion-dollar cleanrooms to manufacture the world’s most advanced chips.", "url": "https://www.ycombinator.com/launches/Ssk-aerogen-systems-building-chip-fabs-without-cleanrooms", "votes": 17, "created_at": "2026-08-18T21:15:05.234Z" } ] }, { "id": 32717, "name": "Neuron Industries", "slug": "neuron-industries", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/12fc3438894b5a05c8d3d1997a329d2c5053c9b8.png", "website": "https://neuronindustries.com", "all_locations": "Los Angeles, CA, USA", "long_description": "Neuron is crafting the world’s first purpose-built industrial controller for AI, replacing the antiquated PLCs running every machine and factory. We help customers from chemical processing to nuclear reactors compress controls projects from weeks to hours. ", "one_liner": "Industrial Controllers built for AI", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1784835700, "tags": [ "Robotic Process Automation", "Manufacturing", "Automation", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/neuron-industries", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/neuron-industries.json", "year_founded": 2026, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/neuron-industries-1", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/12fc3438894b5a05c8d3d1997a329d2c5053c9b8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 3676531, "full_name": "Dennis Ren", "title": "Founder/CEO", "founder_bio": "CEO and Co-Founder at Neuron Industries. Previously founding EE at Freeform, built its hardware tech stack from the ground up and scaled the world's most advanced metal 3D printing factory to production. Vision Pro System EE at Apple, owned eye tracking and Optic ID subsystems form factor system and board design. Ex-Tesla (Fremont) , Amazon (Go), Apple (iPad Pro, Pencil). UCSD BSEE.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dennisren/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/da38da0d216a741391a7f9784585f65188573dcf.jpg" }, { "user_id": 3732370, "full_name": "Kenneth Rhee", "title": "Founder/CTO", "founder_bio": "CTO and Co-Founder at Neuron Industries. Previously founded WorkIPO, bootstrapping it as a solo founder, building mission-critical enterprise software systems. Seller-marketplace systems at GOAT.com transacting hundreds millions of dollars, engineering at Amazon on Elastic Block Store (trillions I/O ops daily), Silk Browser for FireTV at Amazon, Dassault Systemes' Medidata on regulated clinical services. Computer Science at UC Irvine.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kennethrhee/", "x_url": "https://x.com/kenneth_rhee", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/44092f707a68aa3f8c2cff8e697c1a3f2b86ebef.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 107212, "title": "Neuron Industries: The world's first purpose built industrial controller for AI", "tagline": "Throw away your PLCs!", "body": "\n\n**TL;DR:** Neuron is building the world's first purpose built industrial controller for AI, replacing the antiquated PLCs running every machine and factory. We compress controls projects from weeks to hours, from chemical processing to nuclear reactors.\n\nWe have hardware ready to deploy today, hit us up for a pilot!\n\n**Problem**\n\nEvery piece of industrial equipment, conveyors, pumps, packaging cells, process plants, runs on PLCs. But PLCs got stuck in the 90s: it's 2026 and you're paying $5000 for a controller with 5MB of memory, programmable only with esoteric IDEs and languages frozen in 1993. Reindustrialization and data center buildups are pushing demand up while the programmer workforce shrinks. Projects still cost a fortune and take months.\n\n**Solution**\n\nWe're rebuilding the controller from first principles: state-of-the-art hardware, an AI-native stack, one ecosystem unifying PLC, HMI, SCADA, and Historian. Our agent contextualizes your requirements and hardware, then lets anyone program production applications in plain English, with test and verification guardrails and first-class data observability.\n\n**Traction**\n\nOur tech is in customers' plants today: pilots in chemical processing, electronics manufacturing, wastewater treatment, and small modular reactors.\n\n**Team**\n\nDennis Ren (CEO): founding EE at Freeform, built the hardware stack for the world's most advanced metal 3D-printing factory. Apple Vision Pro founding team, Amazon Go, Tesla Fremont.\n\nKenneth Rhee (CTO): second-time founder, bootstrapped and exited WorkIPO. Custom ERP, MES, and CRM systems; ex-Amazon and GOAT Group (YC W11).\n\n**Our ask**\n\nIf you — or someone you know — build machines or factories that run on PLCs and HMIs, we'd love to talk: [hello@neuronindustries.com](mailto:hello@neuronindustries.com)", "url": "https://www.ycombinator.com/launches/RtE-neuron-industries-the-world-s-first-purpose-built-industrial-controller-for-ai", "votes": 12, "created_at": "2026-07-24T18:02:58.034Z" } ] }, { "id": 32750, "name": "Ultrasonium", "slug": "ultrasonium", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/734dc12d12265ba8890bf4ef5e7e564bdb629a87.png", "website": "https://ultrasonium.com/", "all_locations": "Boston, MA, USA", "long_description": "The technologies that define this century, including data centers, rockets, satellites, and robots, are built from complex metal parts. As these systems advance, the parts get harder to make. Past a certain complexity, casting and machining stop working, and the advanced methods that remain are slow, expensive, and hazardous.\r\n\r\nUltrasonium has invented a new manufacturing method to make these critical parts 15x faster and 75% cheaper than the methods they replace, in the U.S. and at scale. Solid metal feedstock goes in and a finished part safely comes out, controlled by a physical AI layer and novel control processes. \r\n\r\nThe systems that matter most, in aerospace, energy, and compute, are demanding metal geometries that can't be machined or cast and are too expensive and slow to make with incumbent methods, at a moment when domestic manufacturing capacity is a national priority.\r\n\r\nOur founding team has built and innovated some of the most complex engineering systems known to man: quantum computers, superconductors, nuclear reactors, and novel aerospace alloy processing methods. ", "one_liner": "Metal manufacturing, faster, cheaper, and more versatile.", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1785870310, "tags": [ "Hard Tech", "Hardware", "Robotics", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ultrasonium", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/ultrasonium.json", "year_founded": 2026, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ultrasonium/", "x_url": "https://x.com/Ultrasonium", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/734dc12d12265ba8890bf4ef5e7e564bdb629a87.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": 3735756, "full_name": "Jack Qiu", "title": "Founder/CEO", "founder_bio": "Founder & CEO of Ultrasonium. Inventor, physicist, and engineer with a PhD in EECS from MIT, with research spanning quantum computing, cryogenics, plasma research, signal processing, hardware control, and advanced manufacturing. First author of a Nature Physics publication in collaboration with MIT Lincoln Laboratory under IARPA and DoD programs. Former researcher at Lawrence Berkeley National Laboratory. BA in Physics from UC Berkeley.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jack-q-a1b81546/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/10afaa4d3df89c18be993661d93702c07d1f3782.jpg" }, { "user_id": 3748345, "full_name": "Hunter Brown", "title": "Founder", "founder_bio": "Founder & VP, Engineering at Ultrasonium\n\nStarted my R&D career working at national labs by age 15. I have contributed to the ITER fusion reactor and CERN through labs at NHFML and LBNL. I have led teams of fabricators and designers in both research and industry. I am passionate about hard tech and moving groundbreaking research ideas into real products. \n\nI lead the Ultrasonium team on the novel and cutting edge technology we implement in our manufacturing process. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hunterpbrown/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/525b78441a81f2ea58c6801c81cc2f8643e4e421.jpg" }, { "user_id": 1892793, "full_name": "Chris Carter", "title": "Founder", "founder_bio": "Founder & Chief Scientific Officer at Ultrasonium. PhD candidate on leave from MIT researching novel metal matrix materials and 3D printed metal heat treatments under NSF GRFP, MIT UCEM, GEM, and .406 Venture fellowship programs. Previously at Argonne National Laboratory working on 3D printed steel. Led metal melt pool simulations for NASA-funded multi-university project. Patent holder and publisher on metal printing. MS in Mechanical Engineering from MIT, BS from University of South Carolina.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/christopher-p-carter/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d2c39cf3788b615d4686293df632fc23d11aab12.jpg" }, { "user_id": 2875171, "full_name": "Alexander Urbanski", "title": "Founder", "founder_bio": "Founder & Chief Research Officer of Ultrasonium. Former founder of the DOE-funded nuclear energy startup Bay State Energy and inventor of the Nuclear Thermoelectric Generator. Studied physics and computer science at Boston University. First hire at Phase3D - built and commercialized metals manufacturing technology deployed across NASA, USAF, and companies across four continents. Former metals manufacturing research engineer at Argonne National Laboratory. Dropped out of mech-e grad program. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aurban42/", "x_url": "https://x.com/urban_alex42", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/453e1928db84e3ca68b98855a033c46f98ebc438.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 113464, "title": "Ultrasonium: Shaping the Future of Metal Manufacturing", "tagline": "We make the world’s most difficult metal parts faster, cheaper, and more versatile.", "body": "**The problem**\n\nThe technologies that define this century, including data centers, rockets, satellites, robots, etc., are built from complex metal parts. As these systems advance, the parts get harder to make. Past a certain complexity, casting and machining stop working, and the advanced methods that remain are slow, expensive, and limited in the alloys and geometries they can process.\n\n**What we built**\n\nUltrasonium has invented a new method to make these critical parts. Solid metal feedstock goes in and a finished part comes out, controlled by a Physical AI layer and novel control processes.\n\nWe produce near-net-shape complex metal parts up to 15× faster, 75% cheaper, and with far greater alloy versatility than conventional manufacturing methods, at scale in the U.S.\n\n\n\n![uploaded image](/media/?type=post&id=113464&key=user_uploads/3735756/dbd12c5d-1203-4e50-9939-980a218df45a)\n\n**Why now / why us**\n\nThe systems that matter most, in aerospace, defense, energy, and compute, are demanding metal geometries that can’t be machined or cast and are too expensive and slow to make with incumbent methods, at a moment when domestic manufacturing capacity is a national priority.\n\nOur founding team has worked on some of the most difficult engineering systems in the world, including quantum computers, superconductors, nuclear reactors, and advanced aerospace alloy processing. Between the four of us, we have backgrounds in physics, metallurgy, advanced manufacturing, controls, hardware, and commercialization.\n\nJack Qiu (CEO) completed his PhD in Electrical Engineering and Computer Science at MIT and published pioneering quantum computing work in Nature Physics. Chris Carter (CSO) left to join Ultrasonium during the 5th year of his PhD program at MIT after more than six years of research in state-of-the-art metallurgy and materials processing. Alexander Urbanski (Chief Research Officer) previously founded a DOE-funded nuclear startup and was the first hire at Phase3D, where he built and commercialized metal manufacturing monitoring technology. Hunter Brown (VP, Engineering) began working at national labs when he was 15, studied physics at UC Berkeley, and contributed to the ITER fusion reactor.", "url": "https://www.ycombinator.com/launches/TW4-ultrasonium-shaping-the-future-of-metal-manufacturing", "votes": 6, "created_at": "2026-09-02T19:54:37.419Z" }, { "id": 109239, "title": "Ultrasonium: A new way to make complex metal parts, 15x faster and 75% cheaper", "tagline": "Ultrasonium makes the most difficult metal parts for the world's most important systems 15x faster and 75% cheaper. ", "body": "\n**The problem**\n\nThe technologies that define this century - data centers, rockets, satellites, robots, etc. - are built from complex metal parts. As these systems advance, the parts get harder to make. Past a certain complexity, casting and machining stop working, and the advanced methods that remain are slow, expensive, and hazardous.\n\n**What we built**\n\nUltrasonium has invented a new method to make these critical parts. Solid metal feedstock goes in and a finished part safely comes out, controlled by a physical AI layer and novel control processes. We produce near-net-shape complex metal parts 15x faster and 75% cheaper than the methods they replace, in the U.S. and at scale.\n\n \n\n![uploaded image](/media/?type=post&id=109239&key=user_uploads/2875171/55d1e111-fc43-450d-a83c-2c191d88d909)\n\n\n**Why now / why us**\n\nThe systems that matter most, in aerospace, defense, energy, and compute are demanding metal geometries that can’t be machined or cast and are too expensive and slow to make with the incumbent methods, at a moment when domestic manufacturing capacity is a national priority.\n\nOur founding team has built and innovated some of the most complex engineering systems known to man - quantum computers, superconductors, nuclear reactors, and novel aerospace alloy processing methods. Jack Qiu (CEO) completed his PhD in Electrical Engineering and Computer Science at MIT and has published pioneering quantum computing work in Nature Physics. Chris Carter (CSO) dropped out during the 5th year of his PhD program at MIT and has over a half dozen years of experience researching state of the art metallurgy and materials processing systems. Alexander Urbanski (Chief Research Officer) previously founded a DOE-funded nuclear startup and was the first hire at Phase3D where he built and commercialized metals manufacturing monitoring technology. Hunter Brown (VP, Engineering) began working at national labs when he was 15, graduated from UC Berkeley Physics, and contributed to the ITER fusion reactor.", "url": "https://www.ycombinator.com/launches/SPv-ultrasonium-a-new-way-to-make-complex-metal-parts-15x-faster-and-75-cheaper", "votes": 8, "created_at": "2026-08-05T17:31:24.990Z" } ] }, { "id": 32913, "name": "Pacific", "slug": "pacific", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/196624bfab919b6dd989cb601af1771954cb562e.png", "website": "https://pacific.space", "all_locations": "San Francisco, CA, USA", "long_description": "We mass-produce modular data centers that deploy on stalled infrastructure projects losing billions per week.\r\n\r\nDelayed infrastructure projects hemorrhage $1B a week in the US alone - Pacific mass-produces modular data centers that deploy on those sites in days and turn their unused power into revenue.\r\n\r\nData centers are stuck for years waiting for power, while delayed construction sites across the world sit on unused interconnects, losing billions of dollars per week in interest on trillions of dollars of debt. Our pods deploy on those sites and generate revenue for them in days. They use diamond wafers in the cooling system so pods run anywhere on earth, even a desert. \r\n\r\nWe'll use the same mechanisms we're building today to deploy compute across the galaxy.\r\n", "one_liner": "Mass-producing and financing micro data center incredibly quickly.", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1786300632, "tags": [ "Fintech", "Robotics", "Space Exploration", "Manufacturing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pacific", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/pacific.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pacific-compute", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/196624bfab919b6dd989cb601af1771954cb562e.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": 3218344, "full_name": "Harper Dammann Smith", "title": "Founder/CEO", "founder_bio": "Founder and CEO of Pacific - Grew my drone startup to $1M in revenue at 18; left school to shoot expeditions for Red Bull on 7,000m peaks. Studied aerospace engineering; dropped out after selling my first company. Now mass producing modular data centers that deploy in days turning unused power into Ai factories.\n\nI'll go to space one day.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/harper-dammann-smith/", "x_url": "https://x.com/harperdammann?s=21", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3e20832d513b9aced0007904f88c4e05ba173221.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109996, "title": "Pacific: Mass-producing and deploying micro data centers for Earth and Space", "tagline": "Pacific mass produces micro data centers for Earth and space, faster than anyone else.", "body": "**Building the toughest super computers for earth and space**\\\n\\\n**TL;DR:** Data centers are stuck for years waiting for power, while delayed construction sites across the world sit on unused interconnects, losing $1B per week in the US alone, in interest on trillions of dollars of debt. Our pods deploy on those sites and generate revenue for them in days. They use diamond wafers in the cooling system so pods run anywhere on earth, even a desert.\n\n\n\n**The deal**\n\nIf you need compute (GPU hours, tokens, capacity for a training run) send us a note. We sell short and long-term contracts below market rate.\n\nIf your data has to stay on-prem (**defense, CUI, CMMC)**, we sell managed, modular pods directly and are already working with large aerospace companies.\n\n**We're building factories**\n\nSpaceX didn't just build rockets, they built rocket factories. We do the same and our first factory stands up over the next few months, potentially funded by the state of Missouri. We vertically integrate the critical components that currently carry multi-year lead times: transformers, switchgear and power distribution, and by taking control of our own supply chain we ensure we can build pods fast enough.\n\n**Financed like aircraft**\n\nOur pods are financed like aircraft - debt at **\\~5-6%, not 11-15%**. A data center is a risky construction loan: money stuck in a half-built site for years, and if it fails the lender holds a building and a pile of GPUs priced by a brutally volatile market - the banks are freaking out. Our pods leave the factory fully functional, earns the moment it's connected to power, and can be repossessed and redeployed: the profile of equipment finance, far faster and cheaper.\n\n**Traction**\n\nToday we have $95M in LOI’s for our hosted compute and a further $27M for direct sales of our pods. Our first two clusters go live in Missouri this month, followed by the first modular factory.\n\n**Our asks**\n\n* **Compute buyers and offtake.** We'd love to speak to anyone buying compute, or setting up on-prem deployments, or needing CMMC compliance. Introductions to procurement teams at OpenAI, Anthropic, or any startup constrained by access to cheap compute would be incredible.\n* **Hiring.** Data center engineers, electrical engineers, any data center nerds you know.\n* **Financiers.** These projects run on capital from infra investors and tech lenders. If you've worked in that world, we'd love to chat.\n* **Construction sites.** If you sell to construction sites, work in construction, mining, or fab production, or own a site yourself - we will put a money machine on it. Let's chat.\n\n**Join us as we build supercomputers for the galaxy!**\n\n![uploaded image](/media/?type=post&id=109996&key=user_uploads/3218344/e8f50721-c56b-4585-9abf-7d11cf11d5c3)\n\n", "url": "https://www.ycombinator.com/launches/Sc8-pacific-mass-producing-and-deploying-micro-data-centers-for-earth-and-space", "votes": 10, "created_at": "2026-08-12T17:30:05.717Z" } ] }, { "id": 33013, "name": "Operon", "slug": "operon", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aaeb7f2ff7aa5b0b7e64888230be2a7e46342f66.png", "website": "https://operonsolutions.com/en", "all_locations": "San Francisco, CA, USA", "long_description": "Operon is the data intelligence layer for heavy industry. We ingest the messy documents a plant runs on (P&IDs, schematics, datasheets, scans) and turn them into one structured, queryable model of the facility.\r\n\r\nOn top of it, engineers query their plant in natural language and build agentic workflows for safety, compliance, and design. \r\n\r\n", "one_liner": "Agentic data layer for manufacturing & process industries. ", "team_size": 0, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1782593141, "tags": [ "Computer Vision", "Manufacturing", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/operon", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/operon.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/operonsolutions/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aaeb7f2ff7aa5b0b7e64888230be2a7e46342f66.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 2155140, "full_name": "Anderson Chen", "title": "Founder/CEO", "founder_bio": "Founde/CEO @ Operon Solutions.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anderson-chen-2b6941216/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/289ff08d5218c7b14ea8d2d173dfb9330c17e927.jpg" } ], "jobs": [ { "id": 96232, "title": "Founding FDE", "url": "https://www.ycombinator.com/companies/operon/jobs/w7qf3HJ-founding-fde", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "0.20% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 33017, "name": "ProvenMetal", "slug": "provenmetal", "former_names": [ "Syncra" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/450cf955a0b5a1e301afe718484dd30ffb22fb67.png", "website": "https://provenmetal.com", "all_locations": "San Francisco, CA, USA", "long_description": "ProvenMetal manufactures the fastest circuit boards in the United States.\r\n\r\nDomestic circuit board manufacturing is slow and expensive, and while reshoring is happening, the supply chain isn't there yet.\r\n\r\nWe automate the bottlenecks - part procurement, DFM review, and assembly - delivering circuit boards in days instead of weeks.\r\n", "one_liner": "AI-native electronics manufacturing for the American industrial base", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1783632830, "tags": [ "Hardware", "Manufacturing", "Electronics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/provenmetal", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/provenmetal.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/provenmetal", "x_url": "https://x.com/provenmetal", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/provenmetal", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/450cf955a0b5a1e301afe718484dd30ffb22fb67.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Vivian Midha Shen", "url": "https://www.ycombinator.com/people/vivian-midha%20shen" }, "founders": [ { "user_id": 3677443, "full_name": "Johnny Doyle", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at ProvenMetal (YC S26).\nPreviously shipped IoT building management systems. \nDropped out of Engineering with Management @ Trinity College", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/johnny-doyle-69022718a/", "x_url": "https://x.com/jdoyleirl", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e0f543b094d851454fd151bf153f573591886fef.jpg" }, { "user_id": 1001813, "full_name": "Will Carkner", "title": "Founder/CTO", "founder_bio": "Co-Founder at ProvenMetal (YC S26). Previously Electrical Engineer at Lumindt working on hydrogen battery systems, studied Electrical Engineering at Trinity College Dublin, and researched metagenomics at ICL.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/will-carkner-518b77228/", "x_url": "https://x.com/CarknerWill", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9e2e5b2da14ac447cd242e0bc67bf50701494890.jpg" } ], "jobs": [ { "id": 109684, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/provenmetal/jobs/rBRC3Vu-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K", "equity_range": "1.00% - 4.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 105450, "title": "ProvenMetal - Fast-turn, American made PCBs", "tagline": "Ship hardware just as fast as software", "body": "We're Johnny and Will - founders of ProvenMetal (YC S26). We assemble the fastest circuit boards in the US, out of a garage in Dogpatch, San Francisco.\n\nSend us your design files and get assembled boards back in days instead of weeks.\n\n\n\n**The Problem**\n\nHardware companies - start-ups and large manufacturers alike - need speed to survive, and right now they wait weeks for circuit boards.\n\nThat time is lost to quoting, design review, part procurement, and assembly - bottlenecks we're automating.\n\nAt the same time, the reshoring wave is driving demand to manufacture critical infrastructure - drones, robotics, defense, energy - domestically.\n\nBut the capacity to assemble boards domestically, quickly and at scale, isn't there. Decades of offshoring hollowed it out, and what's left is slow and expensive.\n\nThe supply chain needed to revitalise American electronics manufacturing hasn't been built yet. We're building it.\n\n**What We Do**\n\nWe're removing the bottlenecks that stand in the way of fast domestic PCB manufacturing.\n\nSend us your design files, get instant quoting and rapid design review.\n\nWe source every component, assemble in San Francisco, and X-ray every board - delivered in days instead of weeks.\n\n**The Founders**\n\nWill Carkner (CTO) - Electrical Engineer, previously shipped the PCB testing pipeline at Lumindt.\n\nJohnny Doyle (CEO) - Mechanical and Manufacturing Engineer, previously built IoT building management systems.\n\n**The Ask**\n\nIntros to drone companies that need hardware fast.\n\n![uploaded image](/media/?type=post&id=105450&key=user_uploads/3677443/8207a1f2-8f6c-41a2-ade8-66fa8d5f7c59)\n\n![uploaded image](/media/?type=post&id=105450&key=user_uploads/3677443/75079b59-06bb-49f5-898f-dff57e93579a)\n\n![uploaded image](/media/?type=post&id=105450&key=user_uploads/3677443/eeabd5ee-fa61-411c-97da-519125e27c0d)\n\n", "url": "https://www.ycombinator.com/launches/RQo-provenmetal-fast-turn-american-made-pcbs", "votes": 34, "created_at": "2026-07-13T16:18:44.326Z" } ] }, { "id": 33053, "name": "Shiraz AI", "slug": "shiraz-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/93d2ffb0a884b8a3781f59266189d89f4b30d975.png", "website": "https://shiraz.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We deploy robots that learn new tasks from a single human demonstration in the factory. We're starting in contract manufacturing, where lines change every week and both traditional automation and today's VLAs fall over.\r\n\r\nOur founding team has 20+ years of experience in robotics. Navid was part of the core team that productized Spot at Boston Dynamics and led manipulation projects there. Before that, he was at Rethink Robotics. Mojtaba led whole-body control and manipulation efforts at Amazon Robotics and was a Research Assistant Professor at Northwestern University.", "one_liner": "Robots that learn on the job", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1786517990, "tags": [ "Generative AI", "Robotics", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/shiraz-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/shiraz-ai.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/shiraz-ai/", "x_url": "https://x.com/shiraz_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/93d2ffb0a884b8a3781f59266189d89f4b30d975.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 585458, "full_name": "Navid Aghasadeghi", "title": "Founder/CEO", "founder_bio": "Founder at Shiraz AI (YC S26). Previously Senior Staff Robotics Engineer at Boston Dynamics, where he was part of the core team that brought Spot from R&D to commercial deployment and led industrial manipulation. Previously Principal Robotics Engineer at Rethink Robotics, where he developed full-stack controls for Sawyer and led force control development. Also founded GenZArt, an AI consumer app that scaled to 1M users. PhD in ECE from UIUC.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/navid-aghasadeghi-356b077b", "x_url": "https://x.com/realnavida", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b08976791c20954393282468d399741e7e6a659f.jpg" }, { "user_id": 2722145, "full_name": "Mojtaba Mozaffar", "title": "Founder/CTO", "founder_bio": "Founder at Shiraz AI. Previously Senior Applied Scientist and tech lead at Amazon Robotics, leading high-impact work in perception, policy learning, and manipulation. Before that, Research Assistant Professor at Northwestern directing AI and robotics research. PhD in Mechanical Engineering and Robotics from Northwestern.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mojtaba-mozaffar/", "x_url": "https://x.com/MozaffarMojtaba", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2eac2883bfdf8e59573461acba516e0ea179ed74.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110367, "title": "Shiraz AI: Robots that learn on the job", "tagline": "Deploy robots that learn new tasks from a single human demonstration in the factory", "body": "**TL;DR:** We deploy robots that learn new tasks from a single human demonstration in the factory. A new task shows up on the floor? You just film it once on your phone and the robot picks it up. No sitting around collecting data. No engineer flying out to your site. No overnight fine-tuning. You show it, and the robot learns.\n\n\n\n**❌ The problem**\n\nManufacturing is full of constantly changing, high-mix production tasks, which are among the hardest to automate. A line that's packing one product today is building something completely different next week. Every factory owner we talk to says the same two things: they can't find enough people to do the work, and the automation solutions they've tried have been too expensive and too rigid, often ending up gathering dust in a corner.\n\n**✅ What we do**\n\nWe're developing a robot foundation model whose core capability is adapting instantly to new variations of a task. You give the model a human demonstration video as context, and it bridges the embodiment gap to execute the task itself. This in-context learning is the missing piece in today's VLA approaches, and it's what changing manufacturing environments need.\n\nWe deliver the complete system: robot hardware, foundation model, and on-site deployment. We're already deploying robots at customer sites.\n\n**👋 Who we are**\n\n![uploaded image](/media/?type=post&id=110367&key=user_uploads/585458/0832cd2d-2dfc-41b0-8de6-d29897b6c8d3)\n\nBetween the two of us, we have 20+ years of experience in robotics. Navid was part of the core team that productized Spot at Boston Dynamics and led manipulation projects there; before that, he was at Rethink Robotics. Mojtaba led whole-body control and bimanual manipulation efforts at Amazon Robotics and was a Research Assistant Professor at Northwestern University.\n\n**🙏 Our ask**\n\nDo you have a manufacturing task that needs automating, or know someone who does? Let us know and we'll automate it.\n\nReach us at: [founders@shiraz.ai](mailto:founders@shiraz.ai)", "url": "https://www.ycombinator.com/launches/Si7-shiraz-ai-robots-that-learn-on-the-job", "votes": 63, "created_at": "2026-08-12T20:00:00.186Z" } ] }, { "id": 33311, "name": "SpaceFlow Technologies, Inc.", "slug": "spaceflow-technologies-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/161339dc99cea591f4bd07fbb627aaa0b7771a88.png", "website": "https://spaceflow.tech", "all_locations": "San Francisco, CA, USA", "long_description": "SpaceFlow is an AI-native procurement services company for businesses that make, move and serve physical goods. We help procurement teams bring more spend under management, execute source-to-contract work and turn identified savings into realized savings without adding headcount or replacing existing systems.", "one_liner": "AI-native procurement services for the physical economy", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1785644557, "tags": [ "Fintech", "Logistics", "Manufacturing", "Supply Chain" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/spaceflow-technologies-inc", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/spaceflow-technologies-inc.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/spaceflow-yc-s26/", "x_url": "https://x.com/usespaceflow", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/spaceflow-de69", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/161339dc99cea591f4bd07fbb627aaa0b7771a88.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3c6238c718981e5757df84d1247509ab56f2c870.png" ], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 1732874, "full_name": "Emre Isik", "title": "Founder/CEO", "founder_bio": "Founder and CEO of SpaceFlow Technologies. Previously researched computational linguistics at Cambridge under Prof. Anna Korhonen and developed system identification algorithms for motor control at UCLA's Institute of Pure and Applied Mathematics. BA in Computer Engineering from University of Cambridge. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emre-isik-6a88aa193/", "x_url": "https://x.com/Emrre_isik", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/28d05ebaf53739897d5635366d7199420e898744.jpg" }, { "user_id": 3610149, "full_name": "Hakan Enes Aksu", "title": "Founder", "founder_bio": "Co-founder and CTO of SpaceFlow Technologies. Previously build crypto-ad automation software in high school, AI models for sports analysis and built a campus social platform. Dropout", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hakan-enes-aksu/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a232238a981347ef4a7cd6905b71a4afe540049a.jpg" }, { "user_id": 2475947, "full_name": "Ali Eren Aytekin", "title": "Founder", "founder_bio": "Co-Founder of SpaceFlow Technologies. Previously developed deep learning models for genetic perturbation analysis, earning runner-up at the Microsoft Imagine Cup. Holds a patent for a compressed-air energy storage system. Engineering at Istanbul Technical University, dropout.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ali-eren-aytekin-6305a41aa/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/09e1fd106720cfbfd5b526bcaa939f3b64eaef64.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109415, "title": "SpaceFlow: AI-native procurement services for the physical economy", "tagline": "An extension of your team handling sourcing, planning and contracting. ", "body": "**TL;DR:** SpaceFlow is an AI-native procurement services company for businesses that make, move and serve physical goods. We help procurement teams bring more spend under management, execute source-to-contract work and turn identified savings into realized savings without adding headcount or replacing existing systems.\n\n\n\n### The problem\n\nProcurement must absorb changing demand, supplier issues, and growing volume without increasing cost or risking continuity. Every existing option fails on the same axis:\n\n* **Internal teams:** expertise and judgment, fixed capacity. It takes years to build and when someone leaves, the tacit knowledge that keeps operations running is lost.\n* **SaaS:** automation and visibility without execution. The customer still staffs the operation, supervises it, handles exceptions, and owns the result.\n* **Outsourcing:** capacity, expertise, and accountability, permanently labor-linked. More volume, suppliers, and locations require more service-delivery headcount.\n\nThe unmet need is operating capacity that **takes responsibility for completing the work** while becoming faster, more consistent, and more profitable as volume grows.\n\n## The insight\n\n* **Software can recommend actions; it cannot assume commercial authority.** The customer keeps execution, exceptions, and supplier outcomes. Whoever owns the exceptions owns the expertise, and expertise is the entire product in procurement.\n* **Incumbents cannot follow.** Consulting and outsourcing firms store process knowledge in employees and grow revenue through staff hours. Automation directly cannibalizes that model.\n* **The economics are breakable.** Traditional services sit below software economics: Accenture at Rule-of-22.6, Genpact at 24.1. An AI-native operator can reach **Rule-of-60**.\n\n## What we built\n\n**The proprietary platform SpaceFlow uses to operate procurement for customers.**\n\n* A **process-mapping engine** converts interviews, SOPs, approval rules, and existing system configurations into executable workflows. A supply-chain consultancy estimates it cuts customer launch from **26 months to 4**, a 6.5x jump in deployment capacity.\n* It **executes procurement end to end**, from demand and production planning through sourcing, contracting, purchase orders, exception resolution, and reconciliation, across the customer's own systems.\n* Operating across companies in the same vertical turns cross-company experience into **proprietary process and supplier intelligence**, while pooled demand creates **group-purchasing power**: better execution, prices, resilience, and terms for every customer.\n* The same platform **monitors service levels, resolves exceptions, and remains accountable** for completing the operation. Per-action autonomy limits, approval queues, and an immutable audit log make every task provable.\n\n## Proof so far\n\n* **Live:** $400M a year of supplier spend under management, zero systems migrated. Multiple six figure contracts signed.\n* **Demand for delegation:** our first customer cancelled 3 planned procurement hires, the CSCO invested his own money, and two chains are signing to progressively outsource purchasing, one planning a procurement team 90% smaller by 2027.\n* **Results:** 3x faster RFQ cycles, off-contract spend down 42% at one customer, $120K a year saved at another.\n\n## Where this goes\n\nSpaceFlow will replace legacy service providers across the physical economy. Traditional service firms grow by hiring; SpaceFlow grows output faster than headcount, targeting **$1B in revenue with headcount capped at 100**. \n\n## What's in it for you?\n\n1. **You run a physical-goods company with $100M+ supplier spend:** send us 12 months of PO history and we'll map one lane and size the savings, free. [spaceflow.tech](http://spaceflow.tech) · [emre@spaceflow.tech](mailto:emre@spaceflow.tech)\n2. **You know an operator like that:** intros are gold. \n\n### **About the team:**\n\n**Emre Isik (CEO)**  studied computer engineering at the University of Cambridge and dropped the master's to build SpaceFlow full time. Before that he researched embedded AI for motor control at UCLA's Institute for Pure and Applied Mathematics, published a machine-learning paper on reasoning with small data, and trained with Turkey's international informatics olympiad reserve team at 15. \n\n**Ali Eren Aytekin (co-founder)** left engineering at Istanbul Technical University to build SpaceFlow.  He was Microsoft Imagine Cup EMEA runner-up for a genetic-signal classifier that hit 98.3% accuracy, and co-authored the published paper on low-data reasoning. [LinkedIn](https://www.linkedin.com/in/ali-eren-aytekin-6305a41aa/) . He talked his way into an invite-only AI showcase in Istanbul, came out with a procurement problem from the CEO of a UK medical manufacturer, and shipped the solution with the team in two weeks. That deal became the learning SpaceFlow grew from.\n\n**Hakan Enes Aksu (co-founder)** left information engineering at Boğaziçi University to build SpaceFlow. He has been shipping commercial software since 16, when his Reddit ad-automation service earned $40K in revenue, and he later built a tender-matching engine that reads public tenders against a company's product catalog and sold it to a corporate customer for five figures. He scored in the top 500 out of roughly 3 million students in Turkey's national university entrance exam. [LinkedIn](https://www.linkedin.com/in/hakan-enes-aksu/)", "url": "https://www.ycombinator.com/launches/SSl-spaceflow-ai-native-procurement-services-for-the-physical-economy", "votes": 37, "created_at": "2026-08-06T15:30:00.856Z" } ] }, { "id": 34896, "name": "Faraday", "slug": "faraday", "former_names": [ "Faraday Cage", "Faraday", "Faraday Cage" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fbde4bac30252064b1c0af408469172eea1d9b55.png", "website": "https://faradaycompute.com", "all_locations": "San Francisco, CA, USA", "long_description": "Faraday builds industrial AI that learns how enterprises operate and executes long-horizon, multi-step tasks from the back office to the shop floor.\r\n\r\nWe sit on top of fragmented systems of record, coordinating work across existing software and teams. We combine operating procedures, enterprise data, and expert feedback to capture the rules and judgment behind complex processes. In customer-specific RL environments, we optimize the agent harness around each company’s systems, constraints, approvals, and exceptions.\r\n\r\nWe’re connecting to industrial hardware to bring live production data into the same feedback loop. 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Previously built systems for factories powering a $2B+ steel manufacturer (worthington steel), shipped medical devices for a $100B+ company (Stryker), and worked on projects for NASA astronauts.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oscar-rangel", "x_url": "https://x.com/oscarrangelmora", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/821bac69e02067b2b3f58a5c4df05546e8881c37.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 34959, "name": "Applied Kinetics", "slug": "applied-kinetics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f64a699ef7ce7501af64a3b0efc5dfecb5d71fd5.png", "website": "https://appliedkinetics.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Applied Kinetics is an AI-native, end-to-end manufacturer for data center and energy developers. We supply the transformers, switchgear, generators, cooling systems, and other critical equipment needed to bring new power and compute capacity online. Every unit is built to project specifications, and we manage the process from technical requirements through production and delivery. We shorten lead times and accelerate projects forward, removing the physical bottlenecks holding back the next generation of technological progress.", "one_liner": "End-to-end manufacturing for data center and energy projects", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1789683444, "tags": [ "B2B", "Manufacturing", "Energy", "AI", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/applied-kinetics", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/applied-kinetics.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/applied-kinetics-ai/posts", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f64a699ef7ce7501af64a3b0efc5dfecb5d71fd5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/168cf96a0b64e03eb98908d917ce1800e2b97f49.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 2724300, "full_name": "Rohit Naras", "title": "Founder/CEO", "founder_bio": "Founder @ Applied Kinetics (YC F26) | ex-Crusoe AI Infra | Georgia Tech Computer Engineering", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rohitnaras", "x_url": "https://x.com/rohitnaras", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e6d25a574b334c6d11ff32e261be39b41d2caa8a.jpg" }, { "user_id": 3088791, "full_name": "Adhik Durga", "title": "Founder/CTO", "founder_bio": "Founder @ Applied Kinetics (YC F26) | ex-IBM AI Agents | Computer Engineering @ Georgia Tech", "is_active": true, "linkedin_url": "https://linkedin.com/in/adhikdurga", "x_url": "https://x.com/ajdurga999", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b24e5b3d4f708487d8942aa0fd219b2c7b92c645.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35025, "name": "Inflection Space Systems", "slug": "inflection-space-systems", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9391545f5f098175eca1fe35fba695db3a2e0766.png", "website": "https://inflection-space.com/", "all_locations": "Los Angeles, CA, USA", "long_description": "Inflection is building the industrial capacity to manufacture tens of thousands of spacecraft per year for next generation commercial and government space applications. Imagine a factory that looks like an Amazon fulfillment center instead of a NASA clean room.", "one_liner": "Hyperscaling space manufacturing", "team_size": null, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1789683191, "tags": [ "Satellites", "Manufacturing", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/inflection-space-systems", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/inflection-space-systems.json", "year_founded": 2025, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/inflection-space/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9391545f5f098175eca1fe35fba695db3a2e0766.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [ { "user_id": 2135107, "full_name": "Alex Lisso", "title": "Founder/CEO", "founder_bio": "Co-founder of Inflection Space Systems. Background in spacecraft engineering spanning design, manufacturing, test, and operations. LEO, GEO, and Lunar orbits. Millennium Space Systems, Rocket Lab, Planet Labs, and Interlune.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexander-lisso-1bbb99b8", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6c8ade6ac64de453d61f765a8bc2f1038f4e8e99.jpg" }, { "user_id": 2951855, "full_name": "Matt Hanley", "title": "Founder/CTO", "founder_bio": "Matt is the co-founder and CTO of Inflection Space Systems. \n\nBefore Inflection, Matt was at Loft Orbital helping them scale up their satellite integration and test by implementing new technologies and automation. Before that, he spent 4 years at Rocket Lab building out their space systems division, most notably shepherding the Lunar Photon spacecraft to the Moon. \n\nMatt holds a BS and MS degree in Mechanical Engineering from the University of Colorado Boulder.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matthewdhanley/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/653a11856978788cdb05d518409fc3503bec6de3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 121642, "title": "Inflection Space Systems - Hyperscaling Spacecraft Manufacturing (>10,000/year)", "tagline": "Inflection Space Systems is mass manufacturing standardized spacecraft, and will manufacture 10,000 spacecraft per year by 2031.", "body": "**TL;DR: Mass manufacturing spacecraft using robots and terrestrial parts**\n\n\n\nAt Inflection we are developing the industrial capacity to manufacture tens of thousands of spacecraft per year. Imagine a factory that looks more like an Amazon fulfillment center than a NASA-style clean room.\n\n**The Problem**\n\nThere is a massive disparity between (1) humanity’s plans for space and (2) the manufacturing reality in the space sector. **The human race has made about 30,000 spacecraft, _ever_**. Next-gen space constellations like orbital data centers, Golden Dome, lunar infrastructure, and global D2D connectivity will **require _hundreds of thousands_ of spacecraft** to become reality. There are actual FCC filings for over 1M spacecraft. **Inflection was founded to bridge this 970,000-spacecraft gap.**\n\n**What We’re Doing**\n\n1. **Immediate vertical integration** of the entire spacecraft hardware and software stack. We are designing everything in-house, to ensure all parts are designed for low-cost and high-volume manufacturing. We’ve already built >50% of the stack, including our own flight software and ground software.\n2. **Automating everything.** Now is a great time to build processes, both digital and physical, that use AI and automation. Everything in our factory from supply chain management to metal cutting to testing will be AI-native and will utilize industrial robotics.\n3. **Going to space!** We have booked our first launch for Q1 2028 and are actively booking payload customers.\n\n**Who we are**\n\nAlex and Matt have spent their entire careers designing, building, and operating spacecraft (Rocket Lab, Millennium Space Systems, Planet Labs, and Loft Orbital). They’ve conducted classified government missions (REDACTED), facilitated in-space manufacturing (with Varda), and even sent something to the Moon (Lunar Photon). We have first hand experience with how slow, expensive, and antiquated manufacturing is in the space sector, and we’re going to fix it.\n\n**Our asks**\n\n* **Reach out to us** if you are looking to get something into space or develop a space-based \n* **Hiring.** We are recruiting founding engineers, business development professionals, and manufacturing experts. If you know anyone amazing, please send them our way.\n* **Contact**: [**alex@inflection-space.com**](mailto:alex@inflection-space.com)", "url": "https://www.ycombinator.com/launches/Vdy-inflection-space-systems-hyperscaling-spacecraft-manufacturing-10-000-year", "votes": 3, "created_at": "2026-10-13T15:00:00.132Z" } ] }, { "id": 35290, "name": "Antropi Robotics", "slug": "antropi-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8c101f20a3b29a6ae368d81297168e49391e75a.png", "website": "https://www.antropi.world/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Autonomous CNC factories for faster hardware", "team_size": 0, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1786284917, "tags": [ "Robotics", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/antropi-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/antropi-robotics.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/antropi-robotics/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8c101f20a3b29a6ae368d81297168e49391e75a.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": 2771579, "full_name": "Naman Gupta", "title": "Founder/CEO", "founder_bio": "Founder at Antropi Robotics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/namangupta24/", "x_url": "https://x.com/namaangupta", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/198dcb03b52084327028f3f0ed3bbe71ee8f2090.jpg" }, { "user_id": 2771603, "full_name": "Shubh Agarwal", "title": "Founder/CTO", "founder_bio": "Founder at Antropi Robotics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shubhagarwal566/", "x_url": "https://x.com/Shubh__Agarwal_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/595067adc4990aba2aa8149c62d3b0ae87788190.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 123265, "title": "Antropi Robotics | CNC parts in days, from autnomous factories", "tagline": "Turning your designs into precision metal parts in days", "body": "👋 **Hey Everyone!** I’m Naman. My best friend Shubh and I are building **Antropi Robotics**.\n\n**We make inspected CNC parts for hardware teams.** Our first factory is live and already shipping parts to customers with **lead times under 7 days**.\n\n**Our goal:** a network of autonomous factories across the US, making and delivering parts locally in as little as 24 hours.\n\n\n\n## ⚙️ Problem\n\nBefore starting Antropi, I spent six months running my dad’s CNC machining business in India. The biggest lesson was simple: **automating the machine is not the same as automating the factory.**\n\nA CNC machine can cut automatically. But someone still has to plan the job, load the machine, inspect the part, and decide what to do when something goes wrong.\n\nFor hardware teams, this becomes a familiar cycle. Prepare drawings. Request quotes. Go back and forth on manufacturing details. Wait for a production slot. Wait for the parts.\n\n**Every week spent waiting is a design iteration you don’t get before your next demo.**\n\nAdding a robot to load the machine fixes one step. It does not tell the factory whether the part is correct, or what should happen next.\n\n## 🤖 Solution\n\nWe’re building **dark factories: autonomous factories designed to run 24/7.** Our Factory OS connects job planning, CNC machines, robots, and inspection into one system.\n\nSoftware turns CAD into machining programs and checks them in simulation, with an engineer approving them before production.\n\nRobots load and unload. Machines cut. **Every part is inspected.**\n\nInspection feeds back into production, so the system can make supported corrections or stop the machine before a problem repeats.\n\n![uploaded image](/media/?type=post&id=123265&key=user_uploads/2771579/275935ea-e97d-40e7-b0fa-cc9d04977486)\n\nFor you, it’s simple: upload your CAD, confirm your requirements, and receive inspected parts with an inspection report.\n\n**You buy parts. We handle the factory.**\n\nWe’re also building agent ordering through our MCP server and a **Rush option** for priority production.\n\n![uploaded image](/media/?type=post&id=123265&key=user_uploads/2771579/c7d0124b-0e12-4a10-b4ca-322ecac60205)\n\n\n## 🌎 Vision\n\n**One factory is the start. The network is the point.**\n\nOur long-term plan is hundreds, eventually thousands, of microfactories across the US, close to the teams building hardware. The same Factory OS will coordinate production across the network.\n\nAutonomy removes waiting inside the factory. Local production puts the finished part closer to you.\n\nThe target: **American-made precision at China-competitive prices**, with local delivery in as little as 24 hours for supported parts.\n\nShenzhen-like speed, without needing to build in Shenzhen.\n\n![uploaded image](/media/?type=post&id=123265&key=user_uploads/2771579/e012541d-ba88-4809-9423-a1935c878aec)\n\n\n## 🛠️ We’ve spent nine years getting hardware built.\n\nShubh and I met in college in 2017. We both studied computer science, built Mars rovers together, and competed internationally. We also spent plenty of days in CNC shops waiting for parts.\n\nBefore running my dad’s business, I was the first employee and Chief of Staff at Accio Robotics, a warehouse automation company in India, participating in its journey from the first product through scaling and acquisition.\n\nShubh completed his Master’s in Robotics at the University of Pennsylvania, working with robotic manipulators. After his master’s, we started Antropi.\n\nWe have experienced this problem as the people waiting for parts and as the people responsible for making them.\n\n**Now we’re building the factories we wish we’d had.**\n\n## 🙌 Ask\n\n**Need CNC parts?** Send us your most challenging part and we’ll get it done. \n\n👉 [www.antropi.shop](http://antropi.shop)\n\n**Know a team scaling production?** We’d appreciate introductions to hardware or procurement teams at Series B+ companies in computing infrastructure, robotics, medical devices, and energy.\n\nWe’re happy to start with one part and earn the next order.\n\n**Naman & Shubh**\n\nAntropi Robotics", "url": "https://www.ycombinator.com/launches/W49-antropi-robotics-cnc-parts-in-days-from-autnomous-factories", "votes": 5, "created_at": "2026-10-19T18:00:00.087Z" } ] }, { "id": 35389, "name": "Open Actuation", "slug": "open-actuation", "former_names": [ "Pendulum Robotics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/04bbecc591031b8b78b9a43b4f8c9cd329829f72.png", "website": "https://openactuation.com", "all_locations": "Los Angeles, CA, USA", "long_description": "We design and manufacture high-mix drone motors and robotic actuators in LA.\r\n\r\nDJI, Apple, and Ford don't settle for OTS components. Likewise, the teams that win the Western robotics market will build seamless machines from tightly integrated software and hardware. \r\n\r\nOpen Actuation designs motors and actuators around your robot's unique form factor and mission - then we rapidly bring them to life with proprietary software and tooling geared for high-mix machining and assembly. We've designed and built motors for top drone OEMs and can assemble thousands of motors per month at our first factory in LA.\r\n\r\nWe're doing for motion components what 3D printing has done for structural components. 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