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We combine industry-leading software with experienced, professional service to maximize the value of your assets. \r\n\r\nSave time, make money, and get peace of mind by managing your oil & gas interests with MineralSoft.", "one_liner": "Data management platform for oil & gas assets", "team_size": 35, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1447311917, "tags": [ "Analytics", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2016", "status": "Acquired", "industries": [ "Industrials", "Energy" ], "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/mineralsoft", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2016/mineralsoft.json", "year_founded": null, "city": "Austin", "country": "US", "linkedin_url": null, "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/mineralsoft", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 60663, "full_name": "Jon Parker", "title": "Founder/CTO", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jparker165", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f95364f7148d598e4ddf7203970abd59d94430f.jpg" }, { "user_id": 109393, "full_name": "Gabe Wilcox", "title": "Founder", "founder_bio": null, "is_active": true, "linkedin_url": "https://www.linkedin.com/pub/gabe-wilcox/8/744/b59", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e0b668a8b7240e7011c2764196c56b9abe945740.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 1026, "name": "Open Motors", "slug": "open-motors", "former_names": [ "OSVehicle" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d48728d2bd5556dcfa025a664608f1a7e310cb5d.png", "website": "https://www.openmotors.co", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Open Motors (formerly OSVehicle): open, modular, electric vehicle platforms allow new and existing car manufacturers to develop their own models saving up to two years of R&D and millions of dollars in investments. At the same time, it is a reference platform for mobility startups to embed and develop their technology on.\r\nOpen Motors (formerly OSVehicle) is also developing “EDIT”, the first self-driving vehicle designed & engineered for services in white label, extremely modular & open. Fleets can last 10X more thanks to an easy repairability & upgradeability.\r\n\r\nFor more info visit www.openmotors.co", "one_liner": "Open Motors (formerly OSVehicle) is a B2B company that is developing…", "team_size": 11, "industry": "Industrials", "subindustry": "Industrials -> Automotive", "launched_at": 1447359615, "tags": [ "Electric Vehicles", "Self-Driving Vehicles" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2016", "status": "Inactive", "industries": [ "Industrials", "Automotive" ], "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/open-motors", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2016/open-motors.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/openmotors/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/osvehicle", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d48728d2bd5556dcfa025a664608f1a7e310cb5d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 110688, "full_name": "Tin Hang Liu", "title": "Founder/CEO", "founder_bio": "Tin Hang Liu, born in Italy, is an entrepreneur, and a keynote speaker focused on: Innovation, New Mobility & Energy, and Climate Change.\nHe is the founder and CEO of Open Motors, a startup from Silicon Valley that developed an open hardware platform for EVs, a modular self-driving vehicle called “EDIT” engineered for MaaS (Mobility as a Service) & Logistic, and EV battery swap technology.\nMedia defined Open Motors as the “IKEA car”, “Arduino for Vehicles”, “Android for Electric Vehicles”.", "is_active": true, "linkedin_url": "https://linkedin.com/in/tinhangliu", "x_url": "https://twitter.com/tinhangliu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cb3556b5e9896c9af48882ed39251b0b4488abf0.jpg" }, { "user_id": 114029, "full_name": "Yuki Liu", "title": "Founder/COO", "founder_bio": "co-founder Open Motors", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yukiliu", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/43dce84de1d64eefeb907828f27d626b81b1b711.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 1051, "name": "Gecko Robotics", "slug": "gecko-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/eb7bd253bc194c1e1245a6c643b86e65d530a53f.png", "website": "https://www.geckorobotics.com", "all_locations": "Pittsburgh, PA, USA; Austin, TX, USA", "long_description": "Gecko Robotics is the pioneer of AI + Robotics [AIR technology], transforming how the world builds, operates, and maintains its most critical infrastructure for a more reliable and sustainable future. Using fixed sensors and robots that climb, crawl, swim, and fly, we combine first-order data layers with the predictive power of AI into a single source of truth for the physical world. Cantilever™ is our operating platform, powered by AIR technology, that empowers teams to achieve operational excellence through actionable data for immediate and long-term planning.", "one_liner": "AI + Robotics for the Built World", "team_size": 230, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1447653915, "tags": [ "Robotics", "Energy", "Big Data", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2016", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "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": "Troy and Jake met in at Grove City College outside of Pittsburgh. They lived in the same dorm, played sports together and enjoyed frequent conversations about the world. After initially bootstrapping Gecko, Jake and Troy reconnected and saw the same vision of building a robotics company to solve real challenges in the built world." }, { "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?", "answer": "Jake was unfamiliar with YC before they applied. In the fall of 2016, Troy learned that Kevin Hale was scheduled to be in Pittsburgh promoting the next cohort. Jake and Troy met him and talked through the vision for how Gecko could scale. At the time Gecko was making money but wasn’t yet focused on raising money or the traction it would take to turn the company into a scalable business. Kevin, Jake and Troy talked through that path and Jake and Troy turned in their application almost immediately afterwards. Going through the batch was formative for helping Jake and Troy chart Gecko’s path forward. As the batch was starting they were weighing an acquisition offer but, thanks in large part to the advice they were getting at YC, they decided to reject the offer and build the company together." }, { "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?", "answer": "Yes. Mostly through interactions with Kevin Hale, Jared Friedman, Sam Altman and Jon Levy. " }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "Jake built the world’s first wall-climbing ultrasonic testing robot in 2012. Soon after we were making money but weren’t sure on the path to scale. Going though YC was a key inflection point that lead us to our model for scaling Gecko. The decision to turn down early acquisition attempts and investments in favor of building the company we wanted build to was another key inflection point. Gecko turned down offers right before demo day from investors in favor of walking. Fast forward to today and Gecko is closing deals with some of the biggest energy providers on the planet as well as global institutions like the U.S. Air Force and U.S. Navy." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Jake visited a power plant while in college. The owner talked about how assets at the plant just fail and the plant shuts down regularly and that was seen as just the cost of doing business. That seemed wrong to Jake. It made him think about the importance of the built world and how much we rely on physical assets to provide power, water, safety and other critical services. Yet at the same time they are aging and starting to breakdown - Jake thought he had found a problem hiding in plain sight. Jake and Troy talked a lot about that in the early days of Gecko and committed the company on a path to deploy advanced robotics to solve this critical problem that no one else seemed to be working on." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "The long-term vision for Gecko Robotics is to transform the world’s most important industries that have been left behind in the digitalization movement. Gecko aims to be one of the first truly impactful robotics companies and prove that the best way to build incredible hardware and software is around solving real world problems and creating impactful outcomes for customers. 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With this information we can help improve operations while reducing spills and theft. This technology could change the way the oil and gas industry, water municipalities, and anyone dealing with high volume fluid, operates. 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We connect small and marginal farmers directly to businesses anywhere in the country, with each step digitally captured and monitored on our proprietary management portal. As a result, farmers are able to earn 10% more than prevalent market prices for their produce.\r\n\r\nOur system, built on the 3 pillars of \r\n1) 100% integration\r\n2) Standardisation w.r.t. on-field practices and,\r\n3) Transparency for all stakeholders\r\n\r\nis a departure from the opaque and inconsistent traditional supply chain which thrives on the high levels of fragmentation in the ecosystem. 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Why? We found that many farmers in the specialty crops space were still using traditional pencil-and-paper techniques to predict yield. These low-fidelity forecasting methods weren’t giving them a clear enough understanding of their production until it was too late, leading to waste and inefficiency throughout the supply chain.\r\n\r\nWe saw a problem we wanted to solve.\r\n\r\nToday, Bountiful is using advanced data science to help farmers forecast more accurately, so they can make better decisions. In the last three years, we’ve combined the latest in machine learning with weather, satellite, geographic, and historical data. The result is a user-friendly platform that transforms volumes of complex agricultural information into simple, actionable insights farmers can use to run more economically and environmentally sustainable farms.\r\n\r\nMore recently, we’re working to open the dialogue between buyers and sellers, remove uncertainty, and provide clarity to the supply chain to meet global food demand.\r\n\r\nOur ultimate goal is to close the agricultural margin of error. Not only will this make individual farms more efficient, profitable, and sustainable, but it will help optimize the global food supply chain. 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You strap it around a cow's neck. It measures temperature, activity and cow behavior. Cowlar makes sense of the data and sends the farmers actionable recommendations on how to:\n\n1. Boost reproduction rates\n2. Identify diseases instantly\n3. Improve milk yield \n4. We can even tell if someone is stealing your cow ! \n\nCowlar is simple, affordable and easy to use. It's rugged, water proof, comes with a 6 Month battery life so farmers dont have to worry about charging and farmers can be sent text messages in any language/ for those who cant read, we can send an automated phone call.", "one_liner": "Fitbit for dairy cows. 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We are Whitney and George, and at [Sinovia Technologies](https://www.sinoviatech.com/) we make OLED displays for smart products using roll-to-roll printing.\n\n### **🚧 The problem: smart products need to communicate data to their users, but there hasn’t been innovation in low cost displays in 50 years.**\n\nIoT products are built around the data that they collect, the functions they perform, and the data that they communicate back to their users. They are constrained by space, power, and cost, and these factors determine whether a product can include an indicator or display for user communication. The primary indicator options right now are based on LED and LCD technologies, which are bulky, power-hungry, and can only convey limited types of information.\n\n### ✨ **The solution: printed OLED**\n\nOLED is the highest-quality display tech on the market, but until now it has been relegated to high-end phones and TVs because of cost. Sinovia's proprietary materials allow us to make printed OLEDs using the same old-school tools used to make labels, packaging, and newspapers. We make really nice displays very quickly and very cheaply. They are perfect for products that have space and power constraints, as they are as **thin as a human hair, consume less power, and are flexible**. And because we are using the same printing tech used to print newspapers, we can **easily customize the display** to fit the product in the same way new newspapers are printed every day. **We envision a world in which any product can have effective visual communication on any surface.**\n\n![uploaded image](/media/?type=post&id=65527&key=user_uploads/168283/8dd81ba8-06b4-4142-b408-d72a9724ac91)\n\nWe have been working on this for a long time – we started back in 2009 during our PhD programs at Stanford. We are now in the demo and customer collaboration stage, moving toward mass production next year.\n\n### **Our Asks**\n\n**Are you building hardware?**\n\n_We’d love to talk with you about how we might be able to collaborate!_\n\n**Know anybody else building hardware? Are you friends with product designers or contract manufacturers?**\n\n_We love intros to makers and builders!_\n\n📩 **Get in touch!** [founders@sinoviatech.com](mailto:founders@sinoviatech.com)", "url": "https://www.ycombinator.com/launches/H2t-sinovia-technologies-flexible-printed-oleds", "votes": 15, "created_at": "2022-08-22T06:24:20.888Z" } ] }, { "id": 1452, "name": "lvl5", "slug": "lvl5", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://www.lvl5.ai", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "HD maps for self-driving cars.", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Automotive", "launched_at": 1478140813, "tags": [ "Autonomous Trucking", "Self-Driving Vehicles" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2017", "status": "Acquired", "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/lvl5", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2017/lvl5.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": null, "x_url": "https://twitter.com/lvl5inc", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/lvl5", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 160517, "full_name": "George Tall", "title": "Founder/CTO", "founder_bio": null, "is_active": true, "linkedin_url": "https://www.linkedin.com/in/georgetall", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a7f62c2d11310ab87e2bcd21ceb163a2f945ee71.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 1457, "name": "Volansi", "slug": "volansi", "former_names": [ "volans-i", "Volans-i" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a5fb76375a3ebb1f2f694f690e6b22ee1ce21b34.png", "website": "https://flyvoly.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Volansi builds and operates high-payload long-range unmanned aerial vehicles to service B2B customers with a point-to-point delivery solution that saves them millions of dollars in down-time costs.\r\n\r\nWe service customers around the world with a focus on defense, commercial, and medical supply deliveries. 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In high school we built an electric car together with a small team of students, and we both went on to study at the University of Waterloo. Chris went into math & accounting, I went into mechanical engineering. \r\n\r\nThe first spark of an idea came in 2017, with EV adoption on the rise. I’ve always been fascinated by all things complicated, difficult, and physical, and naturally was drawn to the energy and automotive space. There is beauty in the things that power our world in the background, unnoticed, unglamorous, but essential. I was drawn to the problem not so much in the spotlight, aging and ever strained grid infrastructure. The constant need for more efficient hardware with practical implementation. Through a rabbit hole of research I was fascinated with the potential of superconducting technologies, saw the barrier in the high cost of cryocooling, and had an idea for more cost effective cryocoolers. I went to my trusted friend Chris with the idea, and Intelline was born. People ask about the name, its a word we made up from latin, ‘intelligent in nature’.\r\n\r\nFast forward to 2019, we had a lovely multi-layered pulse tube cryocooler prototype designed and fabricated from scratch, along with our own linear helium compressor to power it. Unfortunately there wasn’t a huge market for it and we would have to move mountains as a tiny startup to bring together all the stakeholders for any meaningfully sized superconductor project. Over the holidays at the end of that year, we came across an article on diesel generators, highlighting their terrible inefficiency, yet they remain the only effective option for heavy duty industrial power. We were sitting beside our compressor prototype and that was the lightbulb - “Hey, this compressor design would make a really great engine”. I was always a huge car nerd, and have been sketching designs for engines and car parts since high-school, so the prospect of contributing a game-changing engine to the world was very exciting. We modified the compressor design with piston-mounted valves and added on the necessary combustion hardware, filed the patents, quickly machined a small cross-sectioned prototype, and carted it off to a mining equipment conference in Toronto where it was an instant hit. Customers were so excited even at that stage, and it was clear to us we were building something that customers have been begging for with no one answering the call. Today, we have a real running prototype of our groundbreaking engine design, and are preparing for first customer deliveries at a time when this technology is critical for growing power demand. We’ve come a long way, it’s difficult and painful, but since day 1 I’ve had the same fascination with unnoticed, unglamorous, essential hardware, and I’m eternally grateful to have the chance to contribute to that world of important energy hardware.\r\n\r\nI don’t think I ever decided to be a founder. My path is more driven by a need to do something, and a company is just the vehicle to bring vision into reality. " }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "1. Energy equality. Growth and prosperity in the human race is driven by access to energy. In developing countries and remote areas, this resource is severely lacking. Stable, reliable, and affordable access to electricity improves quality of live, period. We have the unique opportunity to create this change in underserved regions, with affordable microgrids based on our generator tech, given that many of these regions already use old inefficient diesel generators that keep costs high and curtail growth. Furthermore, the power concentrations centered on access to oil can be better distributed, as our generator can run on any fuel. Biofuel and other renewable sources allow remote areas to be far more self reliant on their own energy sources. In short, we can improve the worldwide quality of life by ensuring no-one is left behind in access to practical and affordable energy.\r\n2. Practical transition to zero emissions. We believe in climate change. We don’t care if you don’t. People can argue about this until they are blue in the face, all the while massive diesel engines continue to tick on powering our world economy because no one has provided an actual effective replacement. Our opinion is that real change is not hype, not a fad, and it doesn’t happen overnight. We made an engine that runs on anything, and uses less so it makes financial sense. Stuck with your diesel supply chain? No problem, use less, save money. Soon enough we’ll have thousands of customers using our engines, enough that it makes sense to develop robust supply chains for alternative fuels at scale. With real scale in alternative fuels and customers to use them, costs come down. All the while even the most steadfast climate denier has been using our engine, loving the rugged reliability we’ve come to know from the last 100 years of diesel engines, and then sees that the cost of say, ammonia fuel, is now lower than diesel, and no changes are needed to run it. That’s pretty cool. 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SpaceRyde is the only sustainable mode of space transportation. Its innovative system utilizes a stratospheric balloon to bypass the atmosphere without emissions nor depositing black particles into the ozone layer and is the world’s first and only multi-functional rocket. After completing its initial mission, the vehicle will remain powered in orbit and joins its rocket network until assigned its next in-space mission, including tasks such as; refuelling, deep space missions, space junk removal and de-orbiting. \r\n\r\nSpaceRyde’s story began in 2018 with husband-wife founders Saharnaz Safari and Sohrab Haghighat and the dream of eliminating the barriers to innovation in space. 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This system integrates together different quantum components, each performing different functions with the data, including processing, communication, and memory. Integration of different specialized components that efficiently work together to complete the calculation is precisely how classical computers work. No other quantum hardware company has yet tackled the integration challenge. AuroraQ will be the Dell of quantum computing, sourcing components from our partners to build a better quantum computer. 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We also show users how they can reduce their carbon footprint. We make it easy for anyone to turn climate confusion into climate action.", "one_liner": "Wren is a monthly subscription to offset your carbon footprint.", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1541646296, "tags": [ "Consumer", "Climate" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2019", "status": "Active", "industries": [ "Industrials", "Climate" ], "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/wren", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2019/wren.json", "year_founded": 2019, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/project-wren/", "x_url": "https://twitter.com/project_wren", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1fc2ae0450bfff6d78cec8f427ebdd55a1dbbbac.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": 127785, "full_name": "Benjamin Stanfield", "title": "Founder", "founder_bio": "Current: Founding Designer @ Outset\nFormerly: Co-founder, Product & Design @ Wren", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/meetben/", "x_url": "https://twitter.com/bnstnfld", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/298d83d23cba599b22c146cd613c82d843389b10.jpg" }, { "user_id": 243237, "full_name": "Mimi Tran Zambetti", "title": "Founder", "founder_bio": "Co-founder at Wren", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mimitranzambetti/", "x_url": "https://twitter.com/mims_tz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9eb18eeca921beddd9a9280b315a0560d6768da2.jpg" }, { "user_id": 235051, "full_name": "Landon Brand", "title": "Founder", "founder_bio": null, "is_active": true, "linkedin_url": "https://www.linkedin.com/in/landonbrand/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a177897a002f8a6c1d5a5e1f9fb8403d75982287.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 12083, "name": "Valo", "slug": "valo", "former_names": [ "Boundary Layer Technologies" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ca66c2f9239b9eadea72810d134da45f3cb38285.png", "website": "https://boundarylayer.tech", "all_locations": "San Francisco, CA, USA", "long_description": "Valo build modular integrated hydrofoil systems for the worlds boatbuilders, allowing them to create fast, clean and quiet flying vessels that consume 15x less energy. ", "one_liner": "Cutting edge hydrofoil systems for boatbuilders", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1541655237, "tags": [ "Transportation", "ClimateTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2019", "status": "Active", "industries": [ "Industrials", "Climate" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/valo", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2019/valo.json", "year_founded": 2018, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ridevalo", "x_url": "https://twitter.com/ridevalo", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/boundary-layer-technologies", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ca66c2f9239b9eadea72810d134da45f3cb38285.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 159353, "full_name": "Ed Kearney", "title": "Founder/CEO", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edward-kearney/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c0456becfa096417aaaddb243f2e252f9a6eae00.jpg" }, { "user_id": 296984, "full_name": "Jeremy Osborne", "title": "Founder", "founder_bio": "Jeremy is the co-founder and CEO of Electric Air, on a mission to lower the cost of heat pumps for a brighter future. He is a renewable energy engineer with over a decade of experience working on heat pump systems. He's a two-time Y Combinator founder, having started Boundary Layer Technologies (W19). ", "is_active": true, "linkedin_url": "https://linkedin.com/in/jezosborne", "x_url": "https://twitter.com/JezOsborne", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/00d8cd40c903fcae44808e7c0549d0ab4ddca964.jpg" } ], "jobs": [], "news": [ { "title": "Boundary Layer Technologies reveals prototype of new watercraft", "url": "https://powersportsbusiness.com/latest-news/2023/05/31/boundary-layer-technologies-reveals-prototype-of-new-hydrofoil-watercraft/", "date": "May 31, 2023" }, { "title": "Boundary Layer pivots from container ships to hydrofoiling personal watercraft • TechCrunch", "url": "https://techcrunch.com/2022/12/01/boundary-layer-personal-watercraft-pivot/", "date": "Dec 01, 2022" }, { "title": "Boundary Layer wants to steal air freight’s lunch and transport it by water instead – TechCrunch", "url": "https://techcrunch.com/2022/06/01/boundary-layer/", "date": "Jun 01, 2022" } ], "launches": [ { "id": 68006, "title": "Valo Hyperfoil - The electric flying personal watercraft of the future", "tagline": "Valo flies 2ft above the water, at great speed, in silence, with no waves or emissions, and will be the most exhilarating thing on the water", "body": "# Meet Valo - the worlds first Hyperfoil.\n\n![uploaded image](/media/?type=post&id=68006&key=user_uploads/159353/28733529-cdb7-4bf0-a840-6ff65cf62169)\n\n**⚡What is it?**\n\n[Valo is a Hyperfoil](https://ridevalo.com/) - a new category of ultra-performance hydrofoiling personal watercraft we created with a full computerized stability control system. Think of it like an electric flying jet ski, that is super bad ass. The complete overhaul that the 50 year old Jetski desperately needs.\n\n![uploaded image](/media/?type=post&id=68006&key=user_uploads/159353/1b753dae-0030-4a9a-90b6-055292666ef0)\n\n![uploaded image](/media/?type=post&id=68006&key=user_uploads/159353/a5b48647-e421-4c01-8254-99b09d61e6e2)\n\n**📉The old - Jetskis**\n\nLoud, gas-burning, noisy impeller driven, wake causing, wave splashing bathtubs.\n\n**📈The new -** [**_Valo_**](https://ridevalo.com/)\n\nA fully electric, near silent, near zero wake, high speed, highly agile vehicle that slices above the waves.\n\n![uploaded image](/media/?type=post&id=68006&key=user_uploads/159353/6eaeca7e-206f-4368-8a7f-fc6298be1c01)\n\n![uploaded image](/media/?type=post&id=68006&key=user_uploads/159353/323c9876-4d67-4d88-bb74-178cb0e6e80d)\n\n### **📋 Specs:**\n\n* Top speed: 58 mph\n* Range: 68 miles\n* Charging time: 3 hours\n* Cruising altitude: 2 ft\n* 100% electric\n* Hull: Carbon Fiber\n\n![uploaded image](/media/?type=post&id=68006&key=user_uploads/159353/de88bd84-ff5b-45b1-ae7b-c0d690d77872)\n\n![uploaded image](/media/?type=post&id=68006&key=user_uploads/159353/d1aa3612-35cd-459e-8604-0c7c09de6698)\n\n### 🤔 **Why do I want one?**\n\nRiding Valo is truly exhilarating, flying clear above the surface of the water, banking into turns like a ski racer.\n\nYou don't get wet. You don't need good balance.\n\nCruise from the SF Marina to Sausalito in 10 minutes. Have a cocktail, enjoy the sun. All without making waves, noise, or emissions.\n\n![uploaded image](/media/?type=post&id=68006&key=user_uploads/159353/53404302-f851-49cf-87ab-42418c643755)\n\n### **🔨Who is making it?**\n\nOur team consists of world class engineers that have worked on Americas Cup racing yachts, hyperloops, self landing rockets, and navy ships, as well as having a massive amount of experience in making electric foiling boats. We are super confident that Valo will work better than we have planned and that customers will absolutely love it. We are going to use the technology in Valo to revolutionize increasingly larger boats and ships, ultimately bringing zero emissions technology to the entire marine sector.\n\n### **📦How do I get one?**\n\n[Place a reservation today!](https://ridevalo.com/) $1000 fully refundable. A reservation secures your spot in the line for the limited production slots we will have available next year.\n\n### \n\n**📆When will it be ready?**\n\nWe will have a prototype complete by early Feb next year, and will be offering demo rides.\n\nWe will then have a limited run of founders edition vessels delivered mid next year, with priority given to the reservation queue position. The full production run will begin early after that.\n\n### \n\n**🎣How much does it cost?**\n\nValo costs more than your typical jet ski. Production price is targeted at $59,000.\n\nThis is because Jetski’s and PWCs in general are pretty much glorified fiberglass bathtubs with a piston engines slapped inside. Valo is effectively a fully featured electric aircraft with wings, stabilizers, actuated control surfaces, inertial sensors and complex flight control software, nothing else out there comes close to it, and all that extra stuff does add to the cost.\\\n\\\nIf you have any questions, reach out to [valo@boundarylayer.tech](mailto:valo@boundarylayer.tech)\n\n### **Thanks!**", "url": "https://www.ycombinator.com/launches/Hgs-valo-hyperfoil-the-electric-flying-personal-watercraft-of-the-future", "votes": 18, "created_at": "2022-12-20T22:29:55.039Z" } ] }, { "id": 12084, "name": "JetPack Aviation", "slug": "jetpack-aviation", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/94480033ba6508a0100986d13cbdc894e041ebd0.png", "website": "http://www.jetpackaviation.com", "all_locations": "Los Angeles, CA, USA", "long_description": "Our focus is on developing the smallest, fastest heavy lift optionally piloted VTOL aircraft. 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"Aug 04, 2022" } ], "launches": [] }, { "id": 12597, "name": "Lucid Bots", "slug": "lucid-bots", "former_names": [ "Lucid Drone Technologies", "Lucid Drone Tech" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ef3c01732ca1adf6e17c2105c507271f7b86744.png", "website": "https://lucidbots.com/", "all_locations": "Charlotte, NC, USA", "long_description": "At Lucid, we are a B2B robotics provider for dull, dirty, and dangerous jobs, starting with the cleaning industry, which has a 200% annual turnover rate. \r\n\r\nOur primary product is a drone that can clean anything from windows to roofs to stadium domes to industrial tanks. 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We engineer, manufacture, and support our technology from a 20,000 sqft headquarters in Charlotte, NC.", "one_liner": "We build robots for dull, dirty, and dangerous jobs.", "team_size": 26, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1556215532, "tags": [ "Robotics", "Drones", "Manufacturing", "Aerospace", "Self-Driving Vehicles" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2019", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lucid-bots", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2019/lucid-bots.json", "year_founded": 2018, "city": "Charlotte", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lucid-bots", "x_url": "https://twitter.com/lucid_bots", "fb_url": "https://www.facebook.com/lucidbots/", "cb_url": "https://www.crunchbase.com/organization/lucid-drone-technologies", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ef3c01732ca1adf6e17c2105c507271f7b86744.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 324936, "full_name": "Andrew Ashur", "title": "Founder", "founder_bio": "Andrew manages the overall operations of Lucid, including product development, strategic partnerships, and investor relations. He is a prolific learner with a demonstrated track record for extreme productivity. Andrew graduated with a double major from Davidson College in just three years, while playing a Division I sport, working three jobs, and founding Lucid. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/andrewashur", "x_url": "https://twitter.com/andrew__ashur", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7dab073afb6738934109b1ebf3cf32a194453587.jpg" } ], "jobs": [], "news": [ { "title": "Lucid Bots secures $9M for drones to clean more than your windows | TechCrunch", "url": "https://techcrunch.com/2024/05/08/lucid-bots-9m-drones-clean-windows/", "date": "May 08, 2024" }, { "title": "Charlotte company turns to drones for window washing | Charlotte Observer", "url": "https://www.charlotteobserver.com/news/business/article263258723.html", "date": "Jul 12, 2022" } ], "launches": [] }, { "id": 12621, "name": "Kitekraft", "slug": "kitekraft", "former_names": [ "kiteKRAFT" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/563de955e2c51775116bc17224ca20a8d3c2a3c8.png", "website": "http://www.kitekraft.de", "all_locations": "Munich, BY, Germany", "long_description": "Kitekraft systems consist of a tethered electric aircraft, a.k.a. a kite. The kite has 8 onboard (flying) wind turbines. It autonomously flies in figure eights and generates electrical energy from the wind. Our systems need 10x less construction materials compared to a conventional wind turbine and our systems cost half as much.", "one_liner": "Building flying wind turbines.", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1597610441, "tags": [ "Hardware", "Climate", "Renewable Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2019", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kitekraft", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2019/kitekraft.json", "year_founded": 2019, "city": "Munich", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/kitekraft/", "x_url": "https://twitter.com/kiteKRAFT_tech", "fb_url": "https://www.facebook.com/kitekraft.tech", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/563de955e2c51775116bc17224ca20a8d3c2a3c8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 324523, "full_name": "Maximilian Isensee", "title": "Founder", "founder_bio": "Renewable energy engineer. Co-founder of climate NGO \"Protect Our Winters Germany\". Former start-up consultant at Karlsruhe Institute of Technology. Working on solving climate change.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maximilian-isensee-621711175/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b466718f13c023c9a3c0a1a132025b002554355.jpg" }, { "user_id": 333280, "full_name": "Christoph Drexler", "title": "Founder", "founder_bio": "Graduated in mechanical engineering at Technical University of Munich. Delved into aerodynamics in master thesis optimizing Kitekraft's airfoils. Heavy interest in sustainability and technological advances tackling climate change, to which the solutions lie in the \"We\", not in the \"I\".", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/christoph-drexler-78173a87/", "x_url": "https://twitter.com/zembobembo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/83a06e83d3e655aaa73923b07dd029fa26dabd62.jpg" }, { "user_id": 333631, "full_name": "André Frirdich", "title": "Founder", "founder_bio": "Aerodynamics engineer, graduated from Technical University of Munich. Focused on aircraft, helicopter, and wind turbine technology. Wrote master thesis about flying wind turbine aerodynamics optimization. Personal motivation powered by the vision of changing the world's energy generation.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andr%C3%A9-frirdich-42257715b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/83d6fdbba09c9df90224676d54424126b464fb9f.jpg" }, { "user_id": 333347, "full_name": "Florian Stappenbeck (Bauer)", "title": "Founder", "founder_bio": "Electrical and control engineer. Electrical Engineering PhD on \"Multidisciplinary Optimization of Drag Power Kites\" from Technical University of Munich. Published more than a dozen of research papers about flying wind turbine technology. Inventor of 5 patents pending. Passionate about renewable energies and anything that flies.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/floba/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f97c61896e1d3043a8fbaa3da84001a2e9981e42.jpg" } ], "jobs": [], "news": [ { "title": "Kitekraft Blog: Kitekraft Connects Flying Wind Turbine Demonstrator to Public Grid", "url": "https://www.kitekraft.de/blog/kitekraft-connects-flying-wind-turbine-demonstrator-to-public-grid", "date": "Nov 06, 2023" }, { "title": "Kitekraft Blog: First grid-connected flight with power production", "url": "https://www.kitekraft.de/blog/first-grid-connected-flight-with-power-production", "date": "Nov 02, 2023" }, { "title": "Startup Showcase: Kitekraft – Flying Wind Turbines for Sustainable Energy Generation – Brutal Tech", "url": "https://brutaltech.news/startup-showcase-kitekraft-flying-wind-turbines-for-sustainable-energy-generation/", "date": "Apr 17, 2023" }, { "title": "Wind power firms warn progress is at risk in green transition | CNN Business", "url": "https://edition.cnn.com/videos/business/2023/02/20/wind-power-marketplace-europe-vpx.cnn", "date": "Feb 20, 2023" }, { "title": "Wind power firms warn progress is at risk in green transition | CNN Business", "url": "https://edition.cnn.com/videos/business/2023/02/20/wind-power-marketplace-europe-vpx.cnn", "date": "Feb 20, 2023" } ], "launches": [] }, { "id": 12622, "name": "Yummy Future", "slug": "yummy-future", "former_names": [ "Yummy Future", "Yummy Future Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b16e65239377a055987a5fda8f301c3a3cd7876f.png", "website": "https://yummy-future.com", "all_locations": "Champaign, IL, USA", "long_description": "We amplify worker produtivity by10X. Restaurants and food retail businesses require high volume and consistency, yet many business owners struggle to achieve this. Employees also dislike working in repetitive and labor-intensive environments, where even a slight mistake can lead to customer complaints. This results in high turnover rates in the restaurant industry.\r\n\r\nOur goal is to let robots and machines handle the boring, laborious tasks so that humans can focus on engaging with customers and collecting product feedback.", "one_liner": "We build robotic workforces for the food & beverage industry.", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1556675968, "tags": [ "Hard Tech", "Hardware", "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2019", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/yummy-future", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2019/yummy-future.json", "year_founded": 2018, "city": "Champaign", "country": "US", "linkedin_url": "https://www.linkedin.com/company/yummy-future-inc", "x_url": "", "fb_url": "https://www.facebook.com/yummyfuturerobot/", "cb_url": "https://www.crunchbase.com/organization/yummy-future", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b16e65239377a055987a5fda8f301c3a3cd7876f.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/12694/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECADIQ5IO3P%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022644Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJHMEUCIFn9f1Q%2Fd5qbfh%2BaAtaVplCeCsQqcNPXsuJRFd%2FhEVNTAiEA32K96AnrgcbRhcV%2FG1nfonPcgv%2Bc%2FqKyXAbZewGS7bkq5QMIORAAGgwwMDYyMDE4MTEwNzIiDMTF%2FTN3Ytu8H%2BXUvCrCA1e4pUvTMyQiKt1%2BeAxWJxztB3upc48xMnu8txnu6hPBB6tBT9FH%2B7KdYRpxGBnJZBkdyCmlLAJ0CXfeAAY8fyQvYDNR%2FVSROes19%2BTTnJYT9S2wCgfQCuJ0YeiFCQLChHcol7BkRYnmMNIO%2FgE29LCyEStkWRZG8WbRZY81Ca7Az%2BTBv1lMtscc5ZPC81SmhdJekCuCDpwEsSL%2FPrlMBHsQmNQ7fWZt%2FC%2F6PL9LagGFJrFwULDIrlKTRuT7%2BbaJ%2FIK4VXnF4lb94Qy6zViEkIrDXoC%2FMM8rlq8sDNGiqbGMj1TovkZ6kZSW5ZjdiSSC7qHt0t2cywP9UEqQdXuMhdWAft9xeQK1LvDjPhtv9kR6uvifQIRrMHKq%2FiRb1XsAikH6XANMUVzUJ8Ir1HZqBuS%2FEy88qF7mCLBci5FVyousO1F9Ut3gwITW0JcFOcCCd2Dsg1N%2BDATCZBDU6xN0%2FDdz8wDqBNzjAjrGbBiYgMnIOv9uk%2BsyK8iYnCmea%2FXfGo%2BiY5SuTsG%2BV8C5dxRg3phnYkIMAxeZqL7TD1qmmPu6uv9YVQKa%2BslxeaqycA%2Ba%2BafPdlHmaggog8yCaUbjFRWrhTDn%2FdrWBjqlAYDHbtBAFbJaQyRK%2Frvi4i%2BaROKi9FWEPA6onBTAu32RxbMsFc29ZArKwaNqujD8g1G3rzBr%2FC5GV%2FAXG6jj7cVGairxEVEvGC1yDegS%2FCv86Hpqs%2FT9xUImWeQ4KeT62C7Nuyj3iLifpzmHqORhRhY63cnr0feNsvCU3m42qSPRPsvIPk8NOVUKFKdgs6fuRI%2B7pHVoEPDzz%2Bdxlt1USe8vCNP5vQ%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=01be14057ee0ded3b6ac3e637faf394fc9e4b6ba634705861a1cf7d3cae60375", "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/45/1566252272200-cmyzzr3imzw-f1c51ca09c87077380702957be7c4114/566bd3ebf9b19599a73b0740386c0683.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022644Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=0ac8a1af05e5f9b2b002296cf956642a55ca768a7340103b3dcce4f21a64eeac", "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 310507, "full_name": "Jack Cui", "title": "Founder", "founder_bio": "Any questions for robotics? Happy to help.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/guangzhe-cui-5b8651b5/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e191eb10434c9fb6cadeeef46061350b47350197.jpg" }, { "user_id": 321241, "full_name": "Garrett Yan", "title": "Founder", "founder_bio": "Co-founder", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/garrett-yueming-yan-b036b470/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/85d860e5809e09c1d164a6983ffc5aec0b72bcd3.jpg" } ], "jobs": [ { "id": 54252, "title": "Robotics Engineer (CS&ECE)", "url": "https://www.ycombinator.com/companies/yummy-future/jobs/DVpzEkU-robotics-engineer-cs-ece", "location": "Champaign, IL", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 60742, "title": "ECE / Robotics Engineer (Full-Time) – Yummy Future", "url": "https://www.ycombinator.com/companies/yummy-future/jobs/I7pFdm6-ece-robotics-engineer-full-time-yummy-future", "location": "Champaign, IL", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$1", "equity_range": "0.50%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "C", "C++", "Python", "Linux" ] }, { "id": 60930, "title": "Mechanical / Robotics Engineer (Full-Time) – Yummy Future", "url": "https://www.ycombinator.com/companies/yummy-future/jobs/ebWpqJv-mechanical-robotics-engineer-full-time-yummy-future", "location": "Champaign, IL", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$1", "equity_range": "0.50%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 63700, "title": "Full-time Barista at Yummy Future Coffee on the UIUC campus", "url": "https://www.ycombinator.com/companies/yummy-future/jobs/iY2RxjJ-full-time-barista-at-yummy-future-coffee-on-the-uiuc-campus", "location": "Champaign, IL, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$18 - $20 / hourly", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79183, "title": "Coffee Shop Manager - on University Ave in Palo Alto", "url": "https://www.ycombinator.com/companies/yummy-future/jobs/ml5CQna-coffee-shop-manager-on-university-ave-in-palo-alto", "location": "Palo Alto, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$26 - $32 / hourly", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79184, "title": "Barista - on University Ave in Palo Alto", "url": "https://www.ycombinator.com/companies/yummy-future/jobs/lN5QDXj-barista-on-university-ave-in-palo-alto", "location": "Palo Alto, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$20 - $22 / hourly", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Yummy Future robotic coffee shop's drinks and food - Smile Politely — Champaign-Urbana's Culture Magazine", "url": "https://www.smilepolitely.com/food-drink/yummy-future-robotic-coffee-shops-drinks-and-food/", "date": "Nov 05, 2024" }, { "title": "Robot coffee stand serves drinks with a twist", "url": "https://www.wcia.com/news/local-news/robot-coffee-stand-serves-drinks-with-a-twist/", "date": "Apr 22, 2019" } ], "launches": [ { "id": 86631, "title": "Yummy Future - Robot workforce for the Food & Beverage industry", "tagline": "Advance the Food & Beverage industry and tackle inflation with robots.", "body": "# **TL;DR**\n\nYummy Future creates a cutting-edge **robot workforce** designed specifically for the food and beverage industry to tackle inflation. Our technology reduces the burden on human workers, allowing them to focus on building closer connections with customers.\n\n![uploaded image](/media/?type=post&id=86631&key=user_uploads/310507/94f263ae-be8f-49a6-b20a-3d3a8fc988b9)\n\n## **The Problem: Restaurant Price Inflation**\n\nAccording to Finance Buzz, restaurant prices increased by an average of 60% between 2014 and 2024—nearly double the national inflation rate. To make matters worse, service quality has declined. CNBC reports that 25.9% of Starbucks customers experienced longer wait times, reflecting a broader trend of labor shortages in the industry.\n\n![uploaded image](/media/?type=post&id=86631&key=user_uploads/310507/7b2798ce-cc88-4789-98cf-124637dd96cc)\n\nWhy is the labor shortage happening?\n\nMany workers view server or barista roles as unsustainable long-term careers, especially on minimum wage, leading to **high turnover rates**, such as **130.7%** in 2020. This forces businesses to incur additional expenses for hiring, training, and maintaining staff while overburdening existing employees to stay profitable.\n\n# **Our solution**\n\nWe're here to change the game—making businesses profitable while ensuring workers find satisfaction and sustainability in their roles.\n\n[YC launch Video](https://youtu.be/3cQhbJTUL10)\n\n![uploaded image](/media/?type=post&id=86631&key=user_uploads/310507/ec24464e-a9a9-4eda-b0ce-52e69a6884d4)\n\nOur system is a high-throughput, modular, and reconfigurable solution, designed to serve as a flexible multi-category food and beverage assembly line. By automating routine and production-heavy tasks, it reduces the burden on human workers, allowing them to focus on building closer connections with customers—answering questions, addressing their needs, and fostering meaningful interactions.\n\n![uploaded image](/media/?type=post&id=86631&key=user_uploads/310507/10db4630-8784-4114-a96f-85cf52a555f3)\n\n# **Our ask**\n\nWe’d love to hear from you:\n\n* **Support Our Crowdfunding Campaign:** \n* **Franchising Interests:** Let’s explore how we can grow together.\n* **Partnership Opportunities:** If you have an existing brand and want to integrate our solution, let’s collaborate!\n* **Join the Waitlist for Coffee Shop in a Box:** Email us at [business@yummy-future.com](mailto:business@yummy-future.com)\n\nWe look forward to connecting and working together!\n\n![uploaded image](/media/?type=post&id=86631&key=user_uploads/310507/a9c1edd9-fbb1-46d2-9f04-5d274611c758)\n\n", "url": "https://www.ycombinator.com/launches/MXH-yummy-future-robot-workforce-for-the-food-beverage-industry", "votes": 10, "created_at": "2025-01-07T01:36:29.570Z" } ] }, { "id": 12666, "name": "spotLESS Materials", "slug": "spotless-materials", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4bcbe21be5fc35568846a259c348e3973168839.png", "website": "https://www.industry.spotlessmaterials.com", "all_locations": "State College, PA, USA", "long_description": "Surface fouling is a costly challenge across industries, impacting medical consumables, diagnostic devices, and automotive components. 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He holds a B.S. in Mechanical Engineering from Colorado School of Mines and M.S. in Mechatronics from DU", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aj-lasater/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b7bc7c791d570d7fa5d8302fb967156cdf42d8d3.jpg" } ], "jobs": [ { "id": 93942, "title": "Director of Hardware", "url": "https://www.ycombinator.com/companies/albedo/jobs/TOtlu2u-director-of-hardware", "location": "Broomfield, CO", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$205K - $237K", "equity_range": "", "experience": "11+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 93943, "title": "Director of Software", "url": "https://www.ycombinator.com/companies/albedo/jobs/Jf8Jr49-director-of-software", "location": "Broomfield, CO", "type": "Full-time", "role": "Engineering", "role_type": "Embedded systems", "salary_range": "$200K - $219K", "equity_range": "", "experience": "11+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 93945, "title": "Lead Recruiter", "url": "https://www.ycombinator.com/companies/albedo/jobs/dJsRVu8-lead-recruiter", "location": "Broomfield, CO", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "$164K - $188K", "equity_range": "", "experience": "11+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Albedo to loft Clarity to very low orbit in early 2025 - SpaceNews", "url": "https://spacenews.com/albedo-to-loft-clarity-to-very-low-orbit-in-early-2025/", "date": "Jun 12, 2024" }, { "title": "Albedo closes $35M at boosted valuation to build satellites that orbit very, very close to Earth | TechCrunch", "url": "https://techcrunch.com/2024/01/23/albedo-closes-35m-at-boosted-valuation-to-build-satellites-that-orbit-very-very-close-to-earth/", "date": "Jan 23, 2024" }, { "title": "A Q+A with Albedo's Topher Haddad - Payload", "url": "https://payloadspace.com/a-qa-with-albedos-topher-haddad/", "date": "Sep 08, 2022" }, { "title": "Albedo wins license to sell 10-centimeter imagery - SpaceNews", "url": "https://spacenews.com/albedo-wins-license-to-sell-10-centimeter-imagery/", "date": "Dec 14, 2021" } ], "launches": [] }, { "id": 22708, "name": "Flux Auto", "slug": "flux-auto", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1782782e9f339f3d5ae2b7213cb07b675c29d2f7.png", "website": "https://fluxauto.ai", "all_locations": "Bengaluru, KA, India", "long_description": "Flux is building physical AI to automate material movement in warehouses and factories on legacy vehicle fleets. Using Flux's solutions customers can reduce their dependency on human drivers, while also increasing productivity and reducing operating costs. \r\n\r\nFlux is currently deploying with customers like Walmart, Daimler, Bajaj, Cummins, Mahindra Logistics across warehouses, fulfillment centers and factories.", "one_liner": "Physical AI for Warehouses and Factories", "team_size": 56, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1647888445, "tags": [ "Autonomous Trucking", "Hard Tech", "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "India", "South 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/flux-auto", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/flux-auto.json", "year_founded": 2020, "city": "Bengaluru", "country": "IN", "linkedin_url": "https://linkedin.com/company/fluxauto", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1782782e9f339f3d5ae2b7213cb07b675c29d2f7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2137, "full_name": "Pranav Manpuria", "title": "Founder", "founder_bio": "Founder and CEO at Flux Auto, building physical AI for warehouses and factories.\n\nI pursued a business administration degree from Illinois Tech, Chicago, before moving back to India to explore my entrepreneurial interests. Flux Auto is the only autonomous vehicle company to successfully run vehicles in real time road and traffic scenarios in India. I previously built a payment startup in India, and am a deep tech, racing and football enthusiast. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pranavmanpuria/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f5ed53b9fc80e143f80ddae42ef04cd6deb1ebb8.jpg" }, { "user_id": 603423, "full_name": "Abhishek Gupta", "title": "Founder", "founder_bio": "COO at Flux Auto, building autonomous driving technology for trucks.\n\nI handle all the day to day operations to ensure everyone in our team has the right direction and all the resources they need. I also plan and oversee our testing activities. \n\nPreviously built a drone platform with custom cameras and data processing systems for farmers to better understand crop health.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abhishek-gupta2494/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8cce421d14af38f3f7a2c1bc1427da7dc7db49a2.jpg" } ], "jobs": [], "news": [ { "title": "B’luru startup eyes US market with self-drive truck kits - Times of India", "url": "https://timesofindia.indiatimes.com/business/india-business/bluru-startup-eyes-us-market-with-self-drive-truck-kits/articleshow/60077696.cms", "date": "Dec 02, 2022" }, { "title": "flux auto: Beating Google, Tesla, this startup's self-driving truck is all set to hit Indian roads - The Economic Times", "url": "https://economictimes.indiatimes.com/small-biz/startups/features/beating-google-tesla-this-startups-self-driving-truck-is-all-set-to-hit-indian-roads-flux-a/articleshow/62333560.cms", "date": "Dec 02, 2022" }, { "title": "Nine Startups With Promise - Forbes India", "url": "https://www.forbesindia.com/article/9th-anniversary-special/nine-startups-with-promise/50217/1", "date": "Dec 02, 2022" }, { "title": "Top Indian Self-Driving Startups To Watch Out For In 2021", "url": "https://analyticsindiamag.com/top-indian-self-driving-startups-to-watch-out-for-in-2021/", "date": "May 27, 2021" }, { "title": "How a bootstrapped team of engineers in Bengaluru is building India’s answer to Tesla's Autopilot", "url": "https://yourstory.com/2017/12/bootstrapped-bengaluru-flux-auto-tesla-autopilot/amp", "date": "Dec 12, 2017" } ], "launches": [] }, { "id": 22780, "name": "Noya", "slug": "noya", "former_names": [ "Aether Laboratories" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/809001ee58b1d16bdeb8ad9ce120858feaea0fd7.png", "website": "https://noya.co", "all_locations": "San Francisco, CA, USA", "long_description": "Noya is radically reducing the upfront capital costs and installation time required to perform direct air capture. 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As pioneers in supervised autonomous mobility, Faction is dedicated to creating innovative solutions that redefine the future of transportation. With a commitment to sustainability, safety, and technological excellence, Faction is driving the evolution of autonomous mobility for a smarter, more connected world. Learn more at www.faction.us.", "one_liner": "Driverless electric vehicles at a fraction of the cost of a car.", "team_size": 25, "industry": "Industrials", "subindustry": "Industrials -> Automotive", "launched_at": 1614699354, "tags": [ "Autonomous Delivery", "Robotics", "Logistics", "Electric Vehicles", "Self-Driving Vehicles" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Inactive", "industries": [ "Industrials", "Automotive" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": [ { "question": "Describe what your company does in 50 characters or less.", "answer": "Production-focused digital vehicle platforms" } ], "question_answers": null, "url": "https://www.ycombinator.com/companies/faction", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/faction.json", "year_founded": 2020, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/faction-technology", "x_url": "https://twitter.com/factionmoto", "fb_url": "https://www.facebook.com/factiontechnology", "cb_url": "https://www.crunchbase.com/organization/faction-65b7", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a1756fb9ac322c1d351b67848cc199b85c7f1fb.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": 503896, "full_name": "Ain McKendrick", "title": "Founder", "founder_bio": "Previously CEO at Faction Technology. 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If we succeed, communities will experience fewer disruptions, safer environments, and a grid that can sustainably support the increasing demands of electrification and renewable energy integration. 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$195", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "GraphQL", "Python", "React", "TypeScript" ] }, { "id": 82751, "title": "Senior Software Engineer, Backend", "url": "https://www.ycombinator.com/companies/gridware/jobs/K6L1r6R-senior-software-engineer-backend", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$175 - $195", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Distributed Systems" ] }, { "id": 82752, "title": "Senior Software Engineer, Frontend", "url": "https://www.ycombinator.com/companies/gridware/jobs/iH7i7Na-senior-software-engineer-frontend", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$175 - $195", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 82753, "title": "Senior Software Engineer, Active Grid Response", "url": "https://www.ycombinator.com/companies/gridware/jobs/b0994Oy-senior-software-engineer-active-grid-response", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$175 - $195", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 84043, "title": "Senior Firmware Engineer, Wireless Communications ", "url": "https://www.ycombinator.com/companies/gridware/jobs/C1f3KuA-senior-firmware-engineer-wireless-communications", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Embedded systems", "salary_range": "$180K - $230K", "equity_range": "", "experience": "6+ years", "visa": "Will sponsor", "skills": [] } ], "news": [ { "title": "Gridware Raises $55 Million Growth Round to Accelerate U.S. Deployments and Support Global Expansion", "url": "https://www.gridware.io/news/gridware-raises-55-million-growth-round-to-accelerate-u-s-deployments-and-support-global-expansion", "date": "Nov 17, 2025" }, { "title": "Gridware Raises $5.3 Million In Seed Round For Its Tech To Eliminate Suburban Wildfires | CleanTechnica", "url": "https://cleantechnica.com/2021/06/01/gridware-raises-5-3-million-in-seed-round-for-its-tech-to-eliminate-suburban-wildfires/", "date": "Jun 01, 2021" }, { "title": "In a YC ‘power’ play, Gridware girds $5.3M to save humanity from weather – TechCrunch", "url": "https://techcrunch.com/2021/05/24/gridware-seed/", "date": "May 24, 2021" }, { "title": "Gridware is building early-detection sensors for power grid failures and wildfires – TechCrunch", "url": "https://techcrunch.com/2021/02/17/gridware-is-building-early-detection-sensors-for-power-grid-failures-and-wildfires/", "date": "Feb 17, 2021" } ], "launches": [] }, { "id": 22843, "name": "Orbillion Bio", "slug": "orbillion-bio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/be3ee88da804df3544dbb3e04269cb45cc6f2258.png", "website": "https://www.orbillion.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Intro to Orbillion Bio: https://www.youtube.com/watch?v=wAf21WXxnhw (Slush Nov 2024)\r\n\r\nOrbillion is making cultivated beef at scale using advanced computational models to rapidly optimize the bioprocess and reduce cost. With Orbillion’s proprietary bioware, they can precisely control the microenvironment that the meat cells need. This supercharges cell growth without the need for GMO, serum, or expensive growth factors, enabling a cost of $4 per kg at commercial scale.\r\n\r\n\r\nOrbillion’s technology addresses the industry's two main challenges: cost and scale-up. Its integrated bioprocess platform allows Orbillion to produce at a commercial level anywhere globally within two weeks in an asset-light fashion. Partnerships with two global food companies of combined $280B revenue, and a European partner have fast-tracked commercialization in the $211B ground beef market. Founders Dr. Patricia Bubner and Samet Yildirim are the only industry founders with scale-up experience in mammalian cells from the biopharma industry. Orbillion is backed by The Venture Collective, Y Combinator, At One Ventures, Venture Souq, and Hub71 among others.", "one_liner": "Tasty and scalable cultivated meat at price parity", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1614619033, "tags": [ "Cultured Meat", "Climate", "Food Tech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Acquired", "industries": [ "Industrials", "Climate" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/orbillion-bio", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/orbillion-bio.json", "year_founded": 2019, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/orbillion/", "x_url": "https://twitter.com/Orbillion1", "fb_url": "https://www.facebook.com/Orbillion-109686784161881/", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/be3ee88da804df3544dbb3e04269cb45cc6f2258.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": 601401, "full_name": "Patricia Bubner", "title": "Founder", "founder_bio": "Patricia Bubner, PhD, is the CEO and founder of Orbillion Bio, a food tech startup pioneering scalable bioprocesses for cultivated meat. With a PhD in Biotechnology, she has led Orbillion from inception to acquisition and has raised over $15M. Her career spans biopharma (Boehringer Ingelheim), battery tech (Sila Nanotechnologies), and global entrepreneurship, fostering strategic partnerships across industries. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/patriciabubner/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/419e2c0427e91e91f0d22d9a41dc31cdc173b1c8.jpg" } ], "jobs": [], "news": [ { "title": "Orbillion raises new capital to de-risk cultivated meat scaleup", "url": "https://agfundernews.com/brief-orbillion-raises-new-capital-for-predictive-modeling-platform-to-de-risk-cultivated-meat-scaleup", "date": "Mar 14, 2024" }, { "title": "Orbillion Bio teams up with Solar Biotech to scale up cultivated meat platform in the US ", "url": "https://www.foodnavigator-usa.com/Article/2022/12/07/orbillion-bio-teams-up-with-solar-biotech-to-scale-up-cultivated-meat-platform-in-the-us", "date": "Dec 13, 2022" }, { "title": "Orbillion Bio to Bring Cultivated Meats Inc Wagyu Beef to 35 European Countries", "url": "https://vegconomist.com/cultivated-cell-cultured-biotechnology/orbillion-bio-cultivated-meat-35-european-countries/", "date": "Sep 26, 2022" }, { "title": "Orbillion Bio Joins AMPS Coalition Bringing Cell-Cultured Proteins To U.S. Market", "url": "https://www.greenqueen.com.hk/orbillion-bio-joins-amps-coalition-bringing-cell-cultured-proteins-to-u-s-market-3/", "date": "Jun 15, 2021" } ], "launches": [] }, { "id": 22870, "name": "Care Weather", "slug": "care-weather", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6bd70155aa26748f0d48ecc4507276f1f296e759.png", "website": "https://www.careweather.com", "all_locations": "Orem, UT, USA", "long_description": "Care Weather collects the highest-accuracy global weather data to help governments and shipping companies adapt to extreme weather. The data is collected by Care Weather’s unique flat-panel radar satellite, which is 1000X more cost effective because it’s vertically integrated, gets more solar power, and sails on top of the atmosphere for a closer view of the surface. Our team includes CEO Patrick Walton (NASA Earth science fellow) and CTO Alex Laraway (mach 4 rockets). In the last 4 months, we built and launched the smallest radar satellite ever. We have $35M worth of LOIs, including one from the Air Force and others from cargo shippers. Care Weather is backed by Boost VC, Kickstart Seed Fund, Y Combinator, and more.", "one_liner": "The highest-accuracy global weather data from low-cost flat satellites", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1692679539, "tags": [ "Hard Tech", "Space Exploration", "Satellites", "Weather", "Agriculture" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "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": null, "url": "https://www.ycombinator.com/companies/care-weather", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/care-weather.json", "year_founded": 2019, "city": "Orem", "country": "US", "linkedin_url": "https://www.linkedin.com/company/careweather/", "x_url": "https://twitter.com/CareWeather", "fb_url": "https://www.facebook.com/careweather", "cb_url": "https://www.crunchbase.com/organization/care-weather", "github_url": "https://github.com/careweather", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6bd70155aa26748f0d48ecc4507276f1f296e759.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": 349337, "full_name": "Patrick Walton", "title": "Founder", "founder_bio": "Co-founder, CEO, and project engineer at Care Weather. As project engineer, he funded, architected, licensed, and operates the company's five satellites on orbit. He has an M.S. and B.S in electrical and mechanical engineering from BYU. As an undergrad, he started BYU's nationally-recognized rocketry club and won $1M from NASA to lead a team of 20 in launching BYU’s first two satellites.", "is_active": true, "linkedin_url": "http://linkedin.com/in/mpatrickwalton", "x_url": "https://twitter.com/mpatrickwalton", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b962ec93a7e9abecbabe4a774212b4ea13e09c6.jpg" }, { "user_id": 378778, "full_name": "Alex Laraway", "title": "Founder", "founder_bio": "Alex is a full-stack aerospace engineer. He single-handedly designed and built multiple record-breaking satellites that are on orbit now. Alex got his B.S. in manufacturing from BYU. His space experience goes back to age 10 machining high-altitude rockets on a lathe in his garage and flying them at Mach 4 to the edge of space. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-laraway-8ba461169/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ed7677fc465451b242ff816051231980ca11208a.jpg" } ], "jobs": [], "news": [ { "title": "YC’s latest Demo Day shows fascinating wagers on healthcare, chip design, AI and more | TechCrunch", "url": "https://techcrunch.com/2024/04/04/ycs-latest-demo-day-shows-fascinating-wagers-on-healthcare-chip-design-ai-and-more/", "date": "Apr 04, 2024" }, { "title": "Utah Company Improving Ocean Weather Forecasting Through Its Satellites - Governor's Office of Economic Opportunity", "url": "https://business.utah.gov/innovation-center/utah-company-improving-ocean-weather-forecasting-through-its-satellites/", "date": "Sep 25, 2023" } ], "launches": [ { "id": 79524, "title": "Care Weather 🌎 🛰️ Highest-accuracy global weather data from low-cost satellites", "tagline": "We help weather-sensitive organizations adapt to increasingly extreme weather.", "body": "Hi everyone! We’re [Alex](https://www.linkedin.com/in/alex-laraway-8ba461169/) and [Patrick](http://linkedin.com/in/mpatrickwalton) from [Care Weather](https://www.careweather.com/). We’re leveraging SpaceX rideshare and 5G electronics to make a swarm of low-cost satellites that get 17X more accurate global weather data.\n\n![uploaded image](/media/?type=post&id=79524&key=user_uploads/349337/502dc652-58a2-489c-928c-3cedb21358be)\n\n_(Left) Alex with with a flight-ready satellite. (Right) Patrick testing the latest satellite._\n\n### [🌪️](https://emojipedia.org/tornado) **Problem**\n\nWeather is quietly [costing billions](https://www.ncei.noaa.gov/access/billions/) across the economy. For example:\n\n* ✈️ A recent supertyphoon damaged $200M of Air Force planes in Guam ([JTWC](https://www.metoc.navy.mil/jtwc/products/atcr/2018atcr.pdf)).\n* 🚢 Ocean cargo ships reroute around so many unpredicted cyclones that they lose $60M of voyage time per ship per year.\n\nIt may seem like your weather app has tons of data to prevent this, but weather apps pretend predicted data is real. Those predictions are based on limited, inaccurate measurements from aging government satellites. Other solutions (weather stations, balloons, drones) aren’t scalable.\n\n![uploaded image](/media/?type=post&id=79524&key=user_uploads/349337/5ce389df-7421-4592-aa8c-dc75b9ba0e7b)\n\n### **🌎 🛰️ Solution**\n\nAfter studying with a NASA expert, we invented a modernized radar satellite, called [Veery](https://careweather.com/tech). We can mass produce Veery at low cost and get orders of magnitude more truth data. Veery’s flat form factor gives it way more solar power and lets it sail on top of the atmosphere for a closer view of the surface. Veery will map ocean surface vector winds, soil moisture, and sea ice globally, every hour, with 100 m - 6 km resolution.\n\n![uploaded image](/media/?type=post&id=79524&key=user_uploads/349337/fe836808-1163-4870-b7d1-7849bbbadb47)\n\n### **🚀 Traction**\n\nIn the last four months, we built and launched the smallest radar satellite in history! And we did it with pre-seed funding and a team of two. In the same timeframe, we received $50M worth of LOIs from the Air Force, the National Weather Service, and several maritime companies.\n\n![uploaded image](/media/?type=post&id=79524&key=user_uploads/349337/563a1d03-1716-4c5d-a467-4ad4ff993d97)\n\n![uploaded image](/media/?type=post&id=79524&key=user_uploads/349337/20167ab2-c237-4521-995e-2b2b114502c8)\n\n### **Asks**\n\nHelp us build a disaster-free future!\n\n* Follow us on [Twitter](https://twitter.com/CareWeather) and [LinkedIn](https://www.linkedin.com/company/careweather/).\n* If you work with weather data or in a weather-sensitive business, [sign up for our waitlist](https://careweather.com/waitlist)! 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Previously, he was co-founder and CEO of Glow Energy, acquired by Ivy Energy in 2024. Earlier, Greg co-founded a proptech startup that led to his role at Airbnb, where he helped reaccelerate host growth and later served as Head of Home Experience, Luxe.", "is_active": true, "linkedin_url": "http://www.linkedin.com/in/gregsirotek", "x_url": "https://twitter.com/gregsirotek", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aebe9da6f0a08a195cc6488f2dbf2abe3250b925.jpg" }, { "user_id": 697212, "full_name": "Ross Gruber", "title": "Founder", "founder_bio": "Ross is the co-founder and CTO of Glow Energy. Ross was previously a lead data engineer and engineering manager who helped scale engineering teams at YC and VC-backed startups like Dia&Co and Upkeep. Ross is passionate about sustainability and is focused on building decarbonization as a crucial building block on our way to a net-zero future. 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Grew Arm's market share from 0% to 95%. VP, Global Head of Corporate Development. Sponsored and executing the 2006 acquisition of Falanx (Mali GPU) by Arm. Founder of the non-profit MIPI Alliance. Founded and ran NGCodec as its CEO for 7 years till its successful 5x exit to Xilinx in 2019. Founded Impossible Mining and recruited co-founders.\n\nCEO/Co-founder, Entrepreneur, Investor & Advisor in DeepTech/ClimateTech\n30+ years experience.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gunasekara/", "x_url": "https://twitter.com/OlyG", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/af46a7c94f96181d4e87cbd7254c2addd2c5b110.jpg" }, { "user_id": 812029, "full_name": "Jason Gillham", "title": "Founder", "founder_bio": "Jason is an achievement driven entrepreneur, driven by seeing positive impact to society. \n\nHis passion is solving customer problems through unique business models, technology and go to market strategies. With a passion for subsea technology, his first company, 2G Robotics (Voyis), developed an underwater laser scanner and imaging product for monitoring in the offshore energy, military and civil infrastructure markets. He led the company to a successful acquisition in January 2020.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jason-gillham-31b23824/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f0b067c16d517c5d29c62ffc31217576d05d2014.jpg" }, { "user_id": 855438, "full_name": "Renee Grogan", "title": "Founder", "founder_bio": "Renee is a sustainability expert with 16 years' experience in due diligence, pre-feasibility and feasibility, permitting, strategy, risk and community and stakeholder engagement. Her experience includes working in Australasia, the Pacific, the United States, Africa and parts of Europe. Renee has worked predominantly in the extractive resources industry, including consulting to financial institutions, resources companies, government and intergovernmental agencies, NGOs and research institutions.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/renee-grogan-a3646361/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/525e301f4d60cfe064097b877a87d73e28d5b0ce.jpg" } ], "jobs": [], "news": [ { "title": "This massive robot is designed to harvest EV metals from the ocean | FastCompany", "url": "https://www.fastcompany.com/90822101/massive-robot-ev-metals-ocean-sustainably", "date": "Dec 13, 2022" }, { "title": "Impossible Metals demonstrates its super-careful seabed mining robot", "url": "https://newatlas.com/marine/seabed-mining-robot-impossible-metals/", "date": "Dec 08, 2022" }, { "title": "Roundtable Discussion Plants Flag to Support Responsible Technology for DSM — Impossible Mining", "url": "https://impossiblemining.com/news/5u8j2o1gj2vwtzqpm3kvzzvpb4u08a", "date": "Jul 20, 2022" }, { "title": "Impossible Mining is combing the seafloor for battery metals – TechCrunch", "url": "https://techcrunch.com/2022/06/21/impossible-mining-is-combing-the-seafloor-for-battery-metals/", "date": "Jun 21, 2022" }, { "title": "Impossible Mining announces its plans to develop the world's first sustainable and responsible deep-sea mining technology — Impossible Mining", "url": "https://impossiblemining.com/news/2021/11/03/impossible-mining-announces-its-plans-to-develop-the-worlds-first-sustainable-and-responsible-deep-sea-mining-technology", "date": "Mar 28, 2022" } ], "launches": [] }, { "id": 26120, "name": "AirMyne", "slug": "airmyne", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/41288cd5105aae41d1cae37fa2544b168a76b040.png", "website": "http://www.airmyne.com", "all_locations": "San Francisco, CA, USA", "long_description": "AirMyne is building machines to capture & remove carbon dioxide from ambient atmospheric air so it can be utilized or sequestered downstream. Our team is based in Berkeley, CA. ", "one_liner": "Building systems to remove carbon dioxide from air at industrial scale", "team_size": 11, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1645729600, "tags": [ "Carbon Capture and Removal", "Hard Tech", "Hardware", "Climate" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "Industrials", "Climate" ], "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/airmyne", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/airmyne.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/77735406", "x_url": "https://twitter.com/AirMyneCO2/", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/41288cd5105aae41d1cae37fa2544b168a76b040.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": 904578, "full_name": "Mark Cyffka", "title": "Founder", "founder_bio": "Cleantech commercialization leader. Helped invent, scale, & sell products used in EV, solar, semiconductor, & display manufacturing. Formerly served as Product Manager at Chemetall-BASF & R&D Engineer at Honeywell. Trained at Harvey Mudd College (Chemistry) & Babson College (MBA). ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/markcyffka/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3be7795a03611ae47eee0aed1acaba1c04205463.jpg" }, { "user_id": 843857, "full_name": "Sudip Mukhopadhyay", "title": "Founder", "founder_bio": "Deep tech innovator helped bringing billions of revenue-Helped developing low global warming refrigerant, 1234yf for cars. Developed products and commercialized in Solar, Semi, Displays and Quantum Dot TV applications. Founding member of Honeywell drone and air taxi greenhouses/startups, Also worked with 100s of startup in deep tech from Finland.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sudip/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e4487519e4d7a55918361535eb9beb51868aeda9.jpg" } ], "jobs": [ { "id": 112657, "title": "Staff/Senior Scientist, R&D", "url": "https://www.ycombinator.com/companies/airmyne/jobs/vyDn45J-staff-senior-scientist-r-d", "location": "Berkeley, CA, US", "type": "Full-time", "role": "Science", "role_type": "Process engineer", "salary_range": "$130K - $170K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112799, "title": "Research Engineer", "url": "https://www.ycombinator.com/companies/airmyne/jobs/um0dqSc-research-engineer", "location": "Berkeley, CA, US", "type": "Full-time", "role": "Science", "role_type": "Process engineer", "salary_range": "$90K - $140K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112940, "title": "Mechatronics / Automation Engineer", "url": "https://www.ycombinator.com/companies/airmyne/jobs/BthUSgs-mechatronics-automation-engineer", "location": "Berkeley, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$90K - $120K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112941, "title": "Mechanical Design Engineer", "url": "https://www.ycombinator.com/companies/airmyne/jobs/90orNAL-mechanical-design-engineer", "location": "Berkeley, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$90K - $120K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112942, "title": "Lab Technician", "url": "https://www.ycombinator.com/companies/airmyne/jobs/yo0Ywnm-lab-technician", "location": "Berkeley, CA, US", "type": "Full-time", "role": "Science", "role_type": "Chemistry", "salary_range": "$65K - $85K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "AirMyne taps geothermal energy to scale direct air carbon capture | TechCrunch", "url": "https://techcrunch.com/2024/03/20/airmyne-seed-round/", "date": "Mar 20, 2024" } ], "launches": [] }, { "id": 26134, "name": "Beyond Aero", "slug": "beyond-aero", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c372268dde1c1e5ed3e639d9cb8603d8cf3639ea.png", "website": "https://www.beyond-aero.com/", "all_locations": "Toulouse, Occitanie, France", "long_description": "Beyond Aero is building the first electric business aircraft powered by hydrogen propulsion, enabling six passengers to fly up to 800 NM (1,500 km), a range unattainable with battery-electric aircraft. Founded in December 2020, the company is redesigning the architecture of an aircraft around hydrogen-electric propulsion, focusing on fuel cell technology, gaseous hydrogen tank integration, and advanced cooling systems. With offices in Toulouse, Paris, and Los Angeles, the company boasts a team of over 80 highly qualified engineers from leading aerospace companies. Beyond Aero has secured over $50 million in funding, backed by investors such as Giant Ventures, Bpifrance, and prior supporters like Initialized Capital, Female Founders Fund, and 7 Percent Ventures. Beyond Aero also completed Y Combinator in 2022. The company has secured $1.5bn in Letters of Intent (LOIs), completed France’s first manned, fully hydrogen-electric flight, and acquired Universal Hydrogen Co.'s assets, IP, and flight data. Beyond Aero is a member of the World Economic Forum’s First Movers Coalition and the Alliance for Zero Emission Aviation, underscoring its commitment to electrifying aviation with hydrogen propulsion.", "one_liner": "First electric business aircraft designed for hydrogen propulsion", "team_size": 80, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1639500772, "tags": [ "Hydrogen Energy", "Airplanes", "Energy", "Electric Vehicles", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "France", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/beyond-aero", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/beyond-aero.json", "year_founded": 2020, "city": "Toulouse", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/beyondaero/", "x_url": "https://twitter.com/beyond_aero", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/beyond-aero", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c372268dde1c1e5ed3e639d9cb8603d8cf3639ea.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": 741075, "full_name": "Hugo Tarlé", "title": "Founder", "founder_bio": "Co-Founder and COO, Beyond Aero", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hugotarle", "x_url": "https://twitter.com/hugotarle", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c1a4c38d8fa034a904aaaa01c18b4aa722bdab5b.jpg" } ], "jobs": [], "news": [ { "title": "Startup Beyond Aero Raises $20 Million for Its Hydrogen-Electric Private Jets", "url": "https://www.wsj.com/articles/startup-beyond-aero-raises-20-million-for-itshydrogen-electric-private-jets-009f52c1", "date": "Oct 28, 2024" }, { "title": "Meet the 27-year-old woman running an electric plane startup", "url": "https://www.fastcompany.com/91046672/meet-the-27-year-old-woman-running-an-electric-plane-startup", "date": "Mar 06, 2024" }, { "title": "Aerospace Testing International September 2023 Page 64", "url": "https://ati.mydigitalpublication.co.uk/september-2023?m=63357&i=800172&p=64&ver=html5", "date": "Oct 11, 2023" }, { "title": "Beyond Aero is building a hydrogen-powered jet | TechCrunch", "url": "https://techcrunch.com/2023/09/19/beyond-aero-is-building-a-hydrogen-powered-jet/", "date": "Sep 19, 2023" }, { "title": "Hydrogen-powered planes almost ready for takeoff | Ars Technica", "url": "https://arstechnica.com/science/2023/08/hydrogen-powered-planes-almost-ready-for-takeoff/", "date": "Aug 09, 2023" } ], "launches": [] }, { "id": 26137, "name": "Pina Earth", "slug": "pina-earth", "former_names": [ "Pina" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/edd32af81be19832964baf047e67f20f5f388dba.png", "website": "https://pina.earth/en", "all_locations": "Munich, BY, Germany", "long_description": "Pina Earth is building a suite of digital tools for data collection, monitoring, and certification of forest carbon projects. EU forests are at high risk due to climate change. With Pina Earth, forest owners can start high-quality carbon projects on their properties and use the new income stream to prepare their forests for a changing climate. \r\n\r\nPina Earth and Tree.ly recently joined forces to create Europe's leading forest carbon platform: https://tech.eu/2025/07/29/pina-earth-and-treely-merge-to-create-europes-largest-forest-carbon-platform/", "one_liner": "Unlocking carbon markets for European forest owners", "team_size": 30, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1643809189, "tags": [ "Climate", "ClimateTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Acquired", "industries": [ "Industrials", "Climate" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pina-earth", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/pina-earth.json", "year_founded": 2021, "city": "Munich", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/pina-de/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/edd32af81be19832964baf047e67f20f5f388dba.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": 806287, "full_name": "Gesa Biermann", "title": "Founder", "founder_bio": "I have a background in environmental studies (PhD @LMU, M.Sc., @TU Munich) and business (C-level consulting at Kearney, Audi). Before founding Pina Earth, I co-led the Center for Digital Technology and Management (CDTM) in Munich for the four years of my doctoral research. At CDTM, I taught entrepreneurship and was responsible for partnerships (with e.g. Siemens AI, Adidas) as well as recruiting. CDTM is also where I met my co-founder, Florian.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gesabiermann/", "x_url": "https://twitter.com/gesabiermann", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a980368ebeec623ca94b30e96e4649569a9802c4.jpg" }, { "user_id": 364515, "full_name": "Florian Fincke", "title": "Founder", "founder_bio": "My main study background is in HCI (M.Sc. @ LMU in Munich, Germany). I specialized in affective computing & decision-support systems for expert users. Additionally, I attended an add-on study program in Technology Management @ the Center for Digital Technology and Management (CDTM) where I also met my co-founders. Since the beginning of my studies, I was working as a full-stack web and app developer at various early-stage start-ups including Alasco, ORDA, and ShoeSizeMe.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/florian-fincke/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/694f426d9a1a501515d718e3adf479c1f6dea8ae.jpg" } ], "jobs": [], "news": [ { "title": "Pina Earth gets seed backing to grow sustainable forestry carbon credits", "url": "https://techcrunch.com/2022/07/05/pina-earth-seed/", "date": "Jul 05, 2022" }, { "title": "These 11 Startups Are Scaling the Voluntary Carbon Market", "url": "https://www.businessinsider.com/web3-carbon-credit-ratings-and-marketplaces-startups-carbon-market-2022-3", "date": "Mar 24, 2022" }, { "title": "Y Combinator's W22 intake: Meet the European startups | Sifted", "url": "https://sifted.eu/articles/y-combinator-cohort-w22-startups/", "date": "Mar 06, 2022" }, { "title": "Can carbon credits for improving forests help save them from climate change?", "url": "https://techcrunch.com/2022/02/01/pina-earth-carbon-credits/", "date": "Feb 01, 2022" }, { "title": "17 German greentech startups to watch, according to top VCs | Sifted", "url": "https://sifted.eu/articles/germany-greentech-startups/", "date": "Jun 16, 2021" } ], "launches": [] }, { "id": 26138, "name": "KorrAI", "slug": "korrai", "former_names": [ "KorrAI Technologies Ltd." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/33961621d8602321f304fcd55e4abfa80d7569d4.png", "website": "https://www.korrai.com", "all_locations": "Toronto, ON, Canada", "long_description": "KorrAI began in 2021 as a Canadian Space Agency research spin-off. We spent four years on ground deformation monitoring and geotechnical studies for mines and infrastructure, and kept running into the same problem: engineers who sign off on a site's safety have to synthesize reports by hunting for docs and data received from consultants, contractors, and site teams by hand.\r\n\r\nOver the last two years, we built TRAIL, a platform informed by interconnected data, powered by specialised AI agents, and supported by our experts. With TRAIL deployed at multiple mine sites across the US and Canada, we envision turning risk management into a proactive process. When records span decades, a wrong answer has regulatory and safety consequences; it is necessary to have complete knowledge of risks and take action in time. \r\n\r\nOur team of satellite data experts, geoscientists, and AI engineers monitors more than $100 billion in assets across the globe. TRAIL reads a site's full record: reports, drawings, inspection notes, monitoring data, satellite imagery, and ground deformation, etc. It builds a location-based knowledge graph. AI Agents run defined risk passes over the graph, flag contradictions, cross-link data, and present findings. Every finding cites its source page and data point, so a regulator or Engineer of Record can review it. Where no evidence supports a claim, TRAIL says so.\r\n\r\nTRAIL is used by closure professionals, geotechnical engineers, and Engineers of Record in mining, and by risk engineers and underwriters on data centers and other critical infrastructure. We work with organizations including Agnico Eagle, Hecla, Eldorado Gold, Stantec, AECOM, Ramboll, Amazon Web Services, and Zurich North America.", "one_liner": "Traceable AI for billion-dollar infrastructure.", "team_size": 20, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1643659113, "tags": [ "Climate", "Mining", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/korrai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/korrai.json", "year_founded": 2022, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/korrai/", "x_url": "https://twitter.com/KorrAITech", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/korrai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/33961621d8602321f304fcd55e4abfa80d7569d4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/cec82964d6a84e18433a1e577dc6334214ae9f6e.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/fc3806b7dc8e6c5dd49c94d73228423e09f12b00.png" ], "primary_partner": null, "founders": [ { "user_id": 492046, "full_name": "Rahul Anand", "title": "Founder", "founder_bio": "Serial founder. Started Mycopie in my second year at NIT Karnataka and sold it, then built and sold HopCar, a consumer app. Spent the years between building enterprise IoT systems for ONGC in oil and gas, Ooredoo in telecom and Nokia in manufacturing. Co-founded KorrAI in 2020 out of a Canadian Space Agency research project and grew it to 20 people. We build AI agents for mining; our product, TRAIL, builds the safety case the Engineer of Record signs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rahulanandnitk/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c51785b7e1e7ce40ff06b7bf37b0ab7cb4b0708a.jpg" }, { "user_id": 852151, "full_name": "Rob McEwan", "title": "Founder", "founder_bio": "My passion for knowledge and tinkering with technology quickly lead me to transition from a professional hockey career to the geosciences, where I found an absolute fascination with image sensors, spectroscopy, and working with geospatial data.\n\nI am driven by the pursuit of commercially viable technologies and solutions for industries that are most critical to the transition to a sustainable economy. I believe in open data, collaboration, and strong digital privacy protections.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robmcewan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f0cf0b98dc7fd6e18fba970ad8c8af629f390f6c.jpg" } ], "jobs": [], "news": [ { "title": "Asset Owners' Perspective: Understanding Site Condition Risks in Data center Construction", "url": "https://www.korrai.com/blog/asset-owners-perspective-understanding-site-condition-risks-in-hyperscale-construction", "date": "Jun 10, 2026" }, { "title": "How MICA and KorrAI Are Accelerating AI‑Enabled Mine Operations", "url": "https://www.korrai.com/blog/how-mica-and-korrai-are-accelerating-ai-enabled-mine-operations", "date": "Aug 31, 2025" }, { "title": "Understanding that sinking feeling: better managing subsidence risk | The Insurer", "url": "https://www.theinsurer.com/ti/viewpoint/understanding-that-sinking-feeling-better-managing-subsidence-risk-2025-01-30/", "date": "Jul 31, 2025" }, { "title": "Raised $1.6M to build digital twins for the global natural resources sector", "url": "https://www.korrai.com/post/raised-1-6m-to-build-digital-twins-for-the-global-natural-resources-sector", "date": "Nov 23, 2022" } ], "launches": [ { "id": 122378, "title": "TRAIL by KorrAI: AI Agents for Mining Risk", "tagline": "Deployed on 5 mine sites, for Engineers who sign high-consequence mine safety reports.", "body": "Hey YC, we’re Rahul, Rob, and Rajat from KorrAI (W22).\n\n**TL;DR:** We're building AI agents for engineers who sign off on mine safety reports. It connects site records, links evidence to failure modes, and supports critical decisions. Live on 5 sites with $1.7M booked in 2026, we’re raising a seed. Contact me at [rahul@korrai.com](mailto:rahul@korrai.com).\n\n\n\n### The Problem\n\nEvery tailings dam has an Engineer of Record. Their name and licence go on the document that says the dam and slope will hold, or that a closed site is safe. If that document is wrong, the liability is theirs. For example, in 2019, a tailings dam at Brumadinho, Brazil, failed and 270 people lost their lives. Engineers from the firm that certified it as stable were among 16 people charged with homicide.\n\n### How We Got Here\n\nWe started in 2021 as a spin-off from a Canadian Space Agency research project and spent four years building AI algorithms for geological and satellite data processing. When we worked with the engineers who prepare review reports, we saw what signing actually takes. They pull together decades of reports, sensor readings, inspections, and surveys provided by paid consultants, contractors, and site teams. All information is in different formats. They synthesize conclusions by hand every cycle. But with the overwhelming amount of data mine sites collect today, making sense of it across 20 different systems is daunting.\n\nThere’s a risk of missed, misinterpreted, or mistaken risk signals.\n\nAI is already in mining. It drives haul trucks, tunes processing plants, and watches camera feeds.\n\nBut there’s no solution for safety reporting because general AI gives plausible and, at times, hallucinated answers. It lacks an interconnected understanding of a mine site and the nuance from diverse sources. Our proprietary data, Ontologies, and Agents are purpose-built for that.\n\n### What TRAIL Does\n\nTRAIL reads the entire site record, enables engineers to link evidence to each failure mode, and supports decisions that matter for the facility. There’s a simple human-AI collaboration to arrive at the final report the engineer can sign.\n\n1. **The site record is connected:** reports, monitoring data, inspection notes, satellite and drone surveys, including the scanned paper nobody has opened in years.\n\n ![uploaded image](/media/?type=post&id=122378&key=user_uploads/492046/d49d95a5-0884-44c6-a496-ebb1b89fe8db)\n\n2. **Failure modes:** evidence linked to the ways each facility can actually fail, so the engineer sees what supports each conclusion and what doesn't.\n\n ![uploaded image](/media/?type=post&id=122378&key=user_uploads/492046/35039718-6227-433e-90ce-f47069b586ba)\n\n3. **Cited answers:** when the engineer asks questions, TRAIL answers with citations for each piece of evidence. Where no evidence supports a claim, TRAIL says so instead of guessing.\n\n ![uploaded image](/media/?type=post&id=122378&key=user_uploads/492046/3d66ca01-0cdb-4d92-9822-4478408dade4)\n\n4. **The engineer's sign-off:** the engineer reviews the evidence file and signs. TRAIL does the insight hunting; the engineer keeps the judgment.\n\n ![uploaded image](/media/?type=post&id=122378&key=user_uploads/492046/e4c61a2e-5659-4c97-9d93-584c1ac4ee26)\n\n\n**Founders & The Team**\n\n![uploaded image](/media/?type=post&id=122378&key=user_uploads/492046/d1a7e126-6cda-484f-aec3-e117496df6ce)\n\n**Rahul** - I'm the CEO. My first startup was acquired before I graduated. Before KorrAI, I built enterprise IoT systems for the tier-1 Indian heavy infra companies. I took KorrAI from a 2-person research project with the Canadian Space Agency to a team of 20, while also leading sales.\n\n**Rob (CRO)** - is a geologist who worked in the field for Atlantic Gold and then explored others before moving into remote sensing. He led the ground monitoring systems our mining customers run today.\n\n**Rajat (CTO)** - has 14 years of experience in software and worked on AR/VR and other cutting-edge tech. He works on geospatial AI and leads our architecture and data infrastructure for TRAIL.\n\nWe’re based in Toronto.\n\n### Progress & Traction\n\nTRAIL is live at operating and closing mine sites, 5 in total, in Canada and the US. We have $1.7 million booked this year, mostly recurring, all of it won from consulting budgets rather than software budgets. Our active customers include major mining operators, a global engineering firm, and a tech giant.\n\n### **Our ask**\n\nWe are raising a seed round to hire forward-deployed and evaluation engineers, because we have more in the pipeline than we can provide. If you invest in industrial or vertical AI, or know someone who does, write to me at [rahul@korrai.com](mailto:rahul@korrai.com)\n\nIf you know someone in a mining company or work at one, we'd love to do a live tour of TRAIL on a real project site.\n\n![uploaded image](/media/?type=post&id=122378&key=user_uploads/492046/4d9497c9-503b-4b80-a848-3042b31c27ad)\n\n", "url": "https://www.ycombinator.com/launches/Vpq-trail-by-korrai-ai-agents-for-mining-risk", "votes": 22, "created_at": "2026-10-15T16:06:07.640Z" } ] }, { "id": 26139, "name": "Revoy", "slug": "revoy", "former_names": [ "SixWheel" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ead4cc08d003abbedf544e12a04d386ad68cb2a.png", "website": "https://www.revoy.com", "all_locations": "San Francisco, CA, USA; San Mateo, CA, USA", "long_description": "SixWheel makes diesel trucks hybrid-electric in 3 minutes at zero upfront cost while delivering $25k more profit per truck annually.", "one_liner": "Make diesel semi trucks hybrid-electric", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Automotive", "launched_at": 1645548982, "tags": [ "Logistics", "Climate", "Electric Vehicles" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "Industrials", "Automotive" ], "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/revoy", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/revoy.json", "year_founded": 2020, "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/6ead4cc08d003abbedf544e12a04d386ad68cb2a.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": 472981, "full_name": "Ian Rust", "title": "Founder", "founder_bio": "Cruise Founding Engineer\nMIT MechE 2010/2012", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ian-rust-85a41b43/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/480a08efacd3c870b450ac9ed8e62084f6c4a6ca.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 26243, "name": "Phoenix Hydrogen", "slug": "phoenix-hydrogen", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8301691eddf532285fe9add6d7c08ae5d764a72e.png", "website": "https://phoenixhydrogen.com/", "all_locations": "San Francisco, CA, USA; Berkeley, CA, USA; Remote", "long_description": "Phoenix Hydrogen is building the first commodity marketplace for hydrogen. 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Originally from Ireland, previously I was the founder of Hale, a personal training marketplace and held senior roles at Google acquired ML startup Hello Vera, B2B marketplace Respondent and fintech giant FactSet. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jamesmcwalter/", "x_url": "https://twitter.com/james_mcwalter", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/29a93026281ad6e0eb5bc2f9b3bb3709672ff211.jpg" }, { "user_id": 268279, "full_name": "Charles Bai", "title": "Founder", "founder_bio": "Charles is the co-founder and CTO of Paces. Before Paces, Charles worked on large model inference and led AI efficiency at Meta AI. Prior to that, he built data-intensive software solutions at various different startups. Charles is based in New York and holds a CS degree from Cornell University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/charlesxbai/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a08ad95ffd8816001555a57a551a754647fd693a.jpg" } ], "jobs": [ { "id": 85557, "title": "Enterprise Account Executive", "url": "https://www.ycombinator.com/companies/paces/jobs/pNHUkbx-enterprise-account-executive", "location": "Brooklyn, United States", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$220K - $240K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 90647, "title": "Transmission Planning Engineer", "url": "https://www.ycombinator.com/companies/paces/jobs/8rYFkgW-transmission-planning-engineer", "location": "Brooklyn, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $150K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 90874, "title": "Development Manager", "url": "https://www.ycombinator.com/companies/paces/jobs/MNIhOFw-development-manager", "location": "Brooklyn, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $170K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 91062, "title": "Environmental Engineer", "url": "https://www.ycombinator.com/companies/paces/jobs/2Q4dYpv-environmental-engineer", "location": "Brooklyn, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $140K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92968, "title": "AI Engineer", "url": "https://www.ycombinator.com/companies/paces/jobs/dvpgJX8-ai-engineer", "location": "Brooklyn, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $190K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 95061, "title": "Software Engineer (Junior)", "url": "https://www.ycombinator.com/companies/paces/jobs/D4TGpfL-software-engineer-junior", "location": "Brooklyn, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $160K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 95062, "title": "Software Engineer, Full Stack", "url": "https://www.ycombinator.com/companies/paces/jobs/uMeVsua-software-engineer-full-stack", "location": "Brooklyn, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $190K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 96301, "title": "Head of Engineering", "url": "https://www.ycombinator.com/companies/paces/jobs/LKceoon-head-of-engineering", "location": "Brooklyn, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$220K - $280K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 96642, "title": "Product Manager", "url": "https://www.ycombinator.com/companies/paces/jobs/TBL2Q1w-product-manager", "location": "Brooklyn, United States", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$160K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98460, "title": "Product Marketer", "url": "https://www.ycombinator.com/companies/paces/jobs/xOkPeTb-product-marketer", "location": "Brooklyn, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $160K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 98461, "title": "Software Engineer, Geospatial Systems", "url": "https://www.ycombinator.com/companies/paces/jobs/IEYY2OZ-software-engineer-geospatial-systems", "location": "Brooklyn, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $220K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 103723, "title": "Regulatory Analyst", "url": "https://www.ycombinator.com/companies/paces/jobs/g6ZYekw-regulatory-analyst", "location": "Brooklyn, United States / Remote (US)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$85K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 112544, "title": "VP of Product", "url": "https://www.ycombinator.com/companies/paces/jobs/BSUC30u-vp-of-product", "location": "Brooklyn, United States / Remote (US)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$240K - $300K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Roadmap: The AI data center stack | Bessemer Venture Partners", "url": "https://www.bvp.com/atlas/roadmap-the-ai-data-center-stack", "date": "May 17, 2026" }, { "title": "Aligning Transmission Investment with Development Realities | TD World", "url": "https://www.tdworld.com/overhead-transmission/article/55337693/aligning-transmission-investment-with-development-realities", "date": "Mar 26, 2026" }, { "title": "The rise of the AI-native power developer - DCD", "url": "https://www.datacenterdynamics.com/en/opinions/the-rise-of-the-ai-native-power-developer/", "date": "Feb 22, 2026" }, { "title": "Strategies for de-risking early-stage renewable energy projects – pv magazine International", "url": "https://www.pv-magazine.com/2025/05/06/strategies-for-de-risking-early-stage-renewable-energy-projects/", "date": "May 05, 2025" }, { "title": "Shrinking Site Availability Threatens Renewable Energy Goals: Here's How Developers Can Adapt | EnergyTech", "url": "https://www.energytech.com/renewables/article/55261812/shrinking-site-availability-threatens-renewable-energy-goals-heres-how-developers-can-adapt", "date": "Jan 27, 2025" } ], "launches": [ { "id": 64098, "title": "Paces - Siting and Due Diligence of Green Projects", "tagline": "Paces is software for green infrastructure developers to identify the best places to build and manage their projects", "body": "### **The Problem**\n\n[80% of](https://www.canarymedia.com/articles/transmission/lbnls-nationwide-interconnection-survey-has-good-news-and-bad-news-for-clean-energy) clean energy projects **developers** start never actually get built because most projects are started without deep due diligence on zoning and interconnection due to the cost of collecting that data. This means $17B worth of cancelled projects per year.\n\n### **The Solution**\n\nPaces is software for green infrastructure developers to identify the best places to build and manage their projects.\n\nFirst we collect environmental, permitting, zoning, energy grid data from various different sources; then we analyze the data and use AI to identify the best places for developers to build their next projects. \n\n### **Our Vision**\n\nOur long term vision for Paces is for it to be the **go-to software platform to enable the climate positive development of every piece of land on earth**. With Paces:\n\n* Solar developers can find and track all the sites for their projects.\n* EV charging developers can easily get a ranked list of the best nearby sites to deploy their next 20 charging stations\n* Heavy energy users like Data Centers, Direct Air Capture and Hydrogen plants can find locations with excess electricity\n* Financial firms can evaluate the value and risks of green assets around the world\n\n### **About Us**\n\nPaces was founded by Charles and James in early 2022.\n\n* James is our CEO! He grew up on an organic farm in Ireland and across a 15 year tech career he was employee 1 at an Google acquired AI startup and has millions in career SaaS sales.\n* Charles is our CTO! He grew up in Beijing and completed a CS degree at Cornell. Before Paces, he led AI efficiency at Facebook AI and built [metrics to track power/carbon cost of AI models](https://arxiv.org/pdf/2111.00364.pdf).\n\n### **Contact Us**\n\nIf you are building in the physical worlds, such as solar, wind, battery storage, hydrogen, EV charging, real estate and data centers, please reach out to us at [team@paces.com!](mailto:team@paces.com)", "url": "https://www.ycombinator.com/launches/Gfq-paces-siting-and-due-diligence-of-green-projects", "votes": 46, "created_at": "2022-06-27T16:38:09.514Z" } ] }, { "id": 26675, "name": "Birch Biosciences", "slug": "birch-biosciences", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d5ede074951640a2e67e11927c78affb1e31b81.png", "website": "http://www.birchbiosciences.com", "all_locations": "Portland, OR, USA", "long_description": "Birch Biosciences engineers enzymes for plastic recycling using synthetic biology and machine learning. Our enzymes function as high performance “molecular scissors” that efficiently break down plastic polymers into chemical building blocks that can be used to manufacture high quality recycled plastic products. Today, plastic manufacturing is unsustainable and a major driver of climate change. Birch Biosciences is developing an economical end-to-end plastic recycling process that reduces carbon emissions by 70% and enables a circular plastic economy.\r\n", "one_liner": "We recycle plastic using engineered enzymes", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1656393851, "tags": [ "Machine Learning", "Synthetic Biology", "Biotech", "Climate", "ClimateTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Industrials", "Climate" ], "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/birch-biosciences", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/birch-biosciences.json", "year_founded": 2021, "city": "Portland", "country": "US", "linkedin_url": "https://www.linkedin.com/company/birch-biosciences-llc", "x_url": "https://twitter.com/BirchBiosci", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/birch-biosciences", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d5ede074951640a2e67e11927c78affb1e31b81.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 913224, "full_name": "Johan Kers", "title": "Founder", "founder_bio": "Johan is co-founder and Chief Executive Officer of Birch Biosciences. He has spent the last 15 years programming bacteria and genetic circuits to produce novel therapeutic proteins and other natural products at leading companies including Absci and Ginkgo Bioworks. Johan is especially interested in solving major sustainability problems using biotechnology. He holds a PhD from Cornell University and completed a postdoctoral fellowship at Stanford University School of Medicine.", "is_active": true, "linkedin_url": "http://linkedin.com/in/johankers", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/77c9dbc7ddcfc0cea9d901a92e53475050f42ea4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 64291, "title": "🌳 Birch Biosciences — Engineered Enzymes for Plastic Recycling 🌳", "tagline": "We recycle plastic using engineered enzymes", "body": "**The problem:**\n\nToday, plastic recycling doesn't work.  Less than 9% of plastic is recycled in the United States, a number unchanged over the past 15 years.  The current mechanical recycling process involves melting and reforming plastic at high temperatures, generally resulting in major greenhouse gas emissions while producing low quality plastic at high cost.  This is a major problem as consumers demand more sustainable plastic products, but brands are unable to meet this demand due to sustainability, quality, yield, and price issues with mechanically recycled plastic.  If we don’t develop a circular plastic economy, plastics will be responsible for 15% of global CO2 emissions by 2050.\n\n**The solution:**\n\nBirch Biosciences is engineering an enzyme-mediated process to recycle plastic. Our high performance enzymes work as “molecular scissors'' at low temperatures to break down plastic polymers into monomer “building blocks,” which can be re-polymerized into high quality recycled plastic products. Birch recycling technology will:\n\n* **Reduce** **carbon emissions** associated with plastic recycling by > 70%.\n* Generate recycled plastic of **equivalent** **quality** **to new plastic**.\n* Produce recycled plastic at **equal or lower cost** than mechanically recycled plastic.\n* Increase the variety of plastic products that can be **effectively recycled**\n\nBirch’s recycling process enables a true ‘circular’ plastic economy where plastic products are continuously recycled into the same plastic products, rather than being manufactured from oil or gas.  This is especially important as consumers, brands, and our planet demand more sustainable products.\n\n**Our technology focus:**\n\nEnzymes as “molecular scissors” are the centerpiece of our recycling technology. We discover and develop high performance enzymes using iterative machine learning and quantitative high-throughput screening of novel protein designs. Our technology stack enables design of robust enzymes for industrial scale plastic recycling using a fermentation-like bioprocess.\n\nWe’re currently focused on engineering enzymes for PET plastics (i.e., beverage bottles, polyester clothing) and polyurethane plastics (i.e., foam for furniture, bedding, insulation). In addition to YC, our technology development is supported by the US Department of Energy and the National Science Foundation.\n\n**How you can help:**\n\nIf you or anyone in your network might be interested in learning more or helping out, we would love to chat.  We're especially interested in talking with:\n\n* Companies and brands that use PET plastics\n* Experts in the plastic manufacturing and recycling industry\n* Operators of recycling facilities\n* Nonprofits with an interest in sustainability and plastic recycling\n\nWe can be reached at [founders@birchbiosciences.com](mailto:founders@birchbiosciences.com)", "url": "https://www.ycombinator.com/launches/Gix-birch-biosciences-engineered-enzymes-for-plastic-recycling", "votes": 246, "created_at": "2022-07-02T17:42:00.694Z" } ] }, { "id": 26718, "name": "Cerrion", "slug": "cerrion", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a2cfaa4757206398a9d1678a216905dc2a248f11.png", "website": "https://www.cerrion.com/", "all_locations": "Zürich, ZH, Switzerland", "long_description": "Cerrion helps manufacturers automatically detect, understand and eliminate problems on their production lines using video-based Computer Vision. 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": 26736, "name": "Array Labs", "slug": "array-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/34746446c096447594f17489088456723db1992d.png", "website": "https://www.arraylabs.io/", "all_locations": "San Francisco, CA, USA; Sunnyvale, CA, USA", "long_description": "We're designing swarms of tiny satellites which will work together to create the first real-time, high-resolution 3D model of the earth. \r\n\r\nBy using clusters of satellites to image the same place on the earth at the exact same time, we can improve image quality by more than 60x over conventional techniques. \r\n\r\nThis technology will massively increase the amount of affordable, high-quality 3D data, enabling a host of new applications across an array of industries, including AR/XR/Autonomy, Defense, Climate/ESG, and Insurance Analytics. \r\n", "one_liner": "We're building satellites to create a real-time 3D map of the world.", "team_size": 30, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1659596762, "tags": [ "Satellites" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "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": null, "url": "https://www.ycombinator.com/companies/array-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/array-labs.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/array-labs/?viewAsMember=true", "x_url": "https://twitter.com/ArrayLabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/34746446c096447594f17489088456723db1992d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/547c659ad93486540b2d925b6c83aa2539d72d93.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1013445, "full_name": "Andrew Peterson", "title": "Founder", "founder_bio": "Previous to being CEO at Array Labs, Andrew led teams across a number of remote sensing projects, including contributions to the Vera Rubin Observatory (largest telescope in the world), satellite constellation design, and high-resolution radar imaging systems. He holds B.S. and M.S. degrees in Aerospace Engineering. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andrew-peterson-array-labs/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b8ea6efedaeec1c9021ad019a4287747d4da2cea.jpg" }, { "user_id": 1014906, "full_name": "Jose Isaac Robledo", "title": "Founder", "founder_bio": "Previous to joining Array Labs, Isaac lead business development efforts and conducted financial analysis for companies such as Sunstone Properties Trust, Morgan Stanley, and JLL, improving operational efficiency and assisting in the closing of over $500M in investments. He holds a B.S. in Economics from BYU.", "is_active": true, "linkedin_url": "http://linkedin.com/in/isaac-arraylabs", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/87dd4684d165195d9c8e4f384c3006a0a9b0b032.jpg" } ], "jobs": [], "news": [ { "title": "Exclusive: Array Labs Raises $21M Led by Mitsubishi Electric", "url": "https://www.tectonicdefense.com/exclusive-array-labs-raises-21m-led-by-mitsubishi-electric/", "date": "Jul 27, 2026" }, { "title": "Array Labs: 3D Mapping Earth from Space", "url": "https://www.notboring.co/p/array-labs-3d-mapping-earth-from", "date": "Sep 27, 2023" }, { "title": "Array Labs is scanning Earth from space to equip autonomous vehicles with 3D maps | TechCrunch", "url": "https://techcrunch.com/2023/08/07/array-labs-is-scanning-the-earth-from-space-to-power-autonomous-vehicles-with-3d-maps/", "date": "Aug 07, 2023" }, { "title": "Q4 2022 News Roundup - Payload", "url": "https://payloadspace.com/q4-2022-news-roundup/", "date": "Dec 21, 2022" }, { "title": "Array Labs Raises $5M Seed - Payload", "url": "https://payloadspace.com/array-labs-raises-5m-seed/", "date": "Oct 27, 2022" } ], "launches": [ { "id": 65560, "title": "🛰️ Array Labs - 3D imaging from space", "tagline": "Array Labs is building satellites to create a real-time 3D map of Earth", "body": "Hi YC!\n\nWe’re Andrew and Isaac, the founders of Array Labs. We're designing swarms of tiny satellites which will work together to create the first real-time, high-resolution 3D model of the earth.\n\n### **Our Solution**\n\nBy using clusters of satellites to image the same place on the earth at the exact same time, we can improve image quality by more than 60x over conventional techniques.\n\n### **The Market**\n\nThere’s a huge need for accurate 3D data, but it’s always been extremely expensive to collect. Our technology will massively increase the amount of affordable, high-quality 3D data, enabling a host of new applications across an array of industries, including AR/XR/Autonomy, Defense, Climate/ESG, and Insurance Analytics.\n\n### **We need help**\n\nWe need all the help we can in finding talented engineers. We’re looking for a broad array of talent, including (but not limited to): Electronics Design, Software, and Mechanical/Aero. If you can think of anyone who might be a good fit, please have them reach out to:\n\n[founders@arraylabs.io](mailto:founders@arraylabs.io)\n\n### **Thank you!**\n\nLast and most importantly, thank you.\n\nDuring our short time in YC, we’ve had so much to be grateful for. We’ve been so warmly welcomed by the community, and the level of support and encouragement has been stunning.\n\nIf there is ever anything we can do to return some of the goodwill, please let us know.\n\n\\-Andrew and Isaac", "url": "https://www.ycombinator.com/launches/H3Q-array-labs-3d-imaging-from-space", "votes": 19, "created_at": "2022-08-23T00:12:59.698Z" } ] }, { "id": 26763, "name": "Voltic", "slug": "voltic", "former_names": [ "Vault", "Sylva", "Clyent" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/10ff722eceb550e5d2356209069344867f3e3b39.png", "website": "https://volticshipping.com/", "all_locations": "New York City, NY, USA; Remote", "long_description": "Voltic is launching US-built cargo ships that are 4x more profitable than diesel vessels. \r\n\r\nWe have $100M+ in sales to companies including the largest US shipping company and the largest global shipper by volume. We are on pace for our first commercial deployment in early 2026. The team previously started two shipping lines and has decades of experience in maritime innovation. Our patented battery & solar tech stack was spun out of MIT’s Ocean Engineering department. We are backed by top investors like the largest maritime VC in the world. ", "one_liner": "Electric cargo ships", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1662076346, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Industrials", "Climate" ], "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/voltic", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/voltic.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/voltic-shipping", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/10ff722eceb550e5d2356209069344867f3e3b39.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": 986341, "full_name": "Prosser Cathey", "title": "Founder", "founder_bio": "Prosser is the founder and CEO of Voltic. He is excited to make the shipping industry greener and more efficient. Prosser grew up in Ligonier, PA, where he was the oldest of five siblings. He graduated from MIT in three years with multiple majors, winning a Fulbright upon graduation to study the auto industry's transition to EVs. He also rowed for MIT's D1 Heavyweight Crew team, with whom he won a Gold Medal at Head of the Charles. In his free time, he enjoys pizza, movies and skiing. ", "is_active": true, "linkedin_url": null, "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cab8b06ff3854f7080afab24857944d748225f7a.jpg" } ], "jobs": [ { "id": 92489, "title": "Asymmetric Upside Engineering", "url": "https://www.ycombinator.com/companies/voltic/jobs/TZ0KKRI-asymmetric-upside-engineering", "location": "Boston, MA, US / Remote (US)", "type": "Contract", "role": "Engineering", "role_type": "Hardware", "salary_range": "$1 - $75K", "equity_range": "3.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 73624, "title": "Voltic: electric cargo ships", "tagline": "We’re building electric cargo ships that are zero-emission and 3x more profitable than existing ships.", "body": "**tl;dr** - We’re building electric cargo ships that are **zero-emission** and **3x more profitable** than existing ships.\n\n![](https://lh4.googleusercontent.com/dkaLepTBHoVkqrWaRvHNwTdAZFsxsTB86Y7rsG1EaFYoe8_SUB2t_vp4E3_NprRzl6N4aFUIRIX-Ee9PDjYzsHP5W_0tJhcxThcywcYB3hIeFLW4dOe4qvlLMztbUKpVJKUT6d-Y9s_4yqvpvApJDFE)\n\nHey everyone! This is Prosser from [Voltic](https://volticshipping.com/). We’re creating electric cargo ships that are greener and cheaper than current options. \n\n### 🚢 **THE PROBLEM**\n\nShipping is a massive industry that contributes **2\\.2%** of the world’s CO2 emissions, 15% of the world’s NOx emissions and 13% of the world’s SOx emissions ([Source](https://clearseas.org/en/air-pollution/)). In other words, approximately 816,640,000,000 kg (.8 gigatons) of carbon dioxide is emitted by ships every year ([Source](https://ourworldindata.org/co2-emissions)). There is currently no generally accepted path to full sustainability for the industry. \n\nAt the same time, fuel is an enormous operating cost for ships. Ranging from **50%** at shipping’s most efficient to **75%** on fast or heavy routes when fuel prices are high, cargo prices are highly dependent on fuel prices ([Source](https://www.sciencedirect.com/science/article/abs/pii/S1361920920306817)). This means our ships will not only be great for the environment but also sustainably cheaper than current alternatives. \n\n### **⚡ OUR SOLUTION**\n\nSupported by grants from the Department of Energy, we designed a solar and battery tech stack that can completely power a container ship at standard operating speeds. Unlike most hardware startups working on difficult engineering problems, we do not have a multi-year, multi-round path to profitability. We already have our first customer, and expect our first ship to be operational in the near future. This will be the first step towards building out a fleet of zero-emission vessels. Long term, we want to fully power the shipping industry via electricity, operating a fleet that can serve any route in the world. 🚢 🚢 🚢 \n\nEmail [contact@volticshipping.com](mailto:founders@volticshipping.com) for inquiries or contacts.\n\nAnd give our [LinkedIn page](https://www.linkedin.com/company/voltic-shipping/) a follow :)", "url": "https://www.ycombinator.com/launches/J9U-voltic-electric-cargo-ships", "votes": 97, "created_at": "2023-07-31T23:07:33.095Z" } ] }, { "id": 26769, "name": "ALT TEX", "slug": "alt-tex", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6cf48f1bdd01fd17e94a2956a2f313bda002e407.png", "website": "https://thealttex.com/", "all_locations": "Toronto, ON, Canada", "long_description": "ALT TEX is a Toronto-based biomaterials startup that has developed the world’s first biodegradable and carbon neutral fabric, engineered from the world’s largest landfill contributor - food waste. Polyester alone makes up 60% of the $2.5 trillion fashion industry and is the biggest blocker preventing brands from meeting sustainability mandates. The patent-pending ALT TEX fermentation technology creates a polyester alternative that works with the existing infrastructure to supply a sustainable, high performance and cost competitive polyester replacement to fashion brands, at scale. \r\n\r\nThe product solves key problems for fashion brands, consumers, and the environment:\r\n\r\n(1) Fashion brands: ALT TEX sells fabric to fashion brands, allowing them to differentiate via sustainable options (sustainable fashion growing 11% CAGR) and hit sustainability targets, without sacrificing performance or changing their current supply chain.\r\n\r\n(2) Consumer: The ALT TEX fabric is projected to be half the price vs. other specialized sustainable alternatives (due to low-cost input and scalability), meaning greater accessibility.\r\n\r\n(3) Environment: A single shirt produced with ALT TEX fabric can divert 1 kg of food waste from landfills, 9 kg of carbon emissions from the air, and 4 g of micro-plastics from our waterways.\r\n\r\nCo-founders Myra and Avneet have worked together managing teams and projects for six years, with backgrounds in serial entrepreneurship, corporate sales at Fortune 500 companies, textile manufacturing and biochemistry. To date, ALT TEX has created their first fabric prototype that’s 70% stronger than cotton, secured $1M in LOIs and raised $2.3M.", "one_liner": "Biodegradable and carbon neutral textiles, engineered from food waste.", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1659631637, "tags": [ "Carbon Capture and Removal", "Bioplastic", "Biotech", "Climate", "Food Tech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Industrials", "Climate" ], "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/alt-tex", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/alt-tex.json", "year_founded": 2020, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/alt-tex/", "x_url": "https://twitter.com/thealttex", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6cf48f1bdd01fd17e94a2956a2f313bda002e407.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 578199, "full_name": "Myra Arshad", "title": "Founder", "founder_bio": "Hey, I'm Myra - Co-founder and CEO of ALT TEX. Coming from a family background in textile manufacturing, I'm disrupting the $2.5 trillion fashion industry with better and more sustainable materials.\n\nPrior to ALT TEX, I held corporate roles in sales and marketing at Fortune 500 companies, before founding fluidic – a direct to consumer lifestyle brand. Prior to fluidic, I built FarmBox, a Hult Prize backed, AI micro-farming technology that enabled food sustainability in refugee camps.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/myra4/", "x_url": "https://twitter.com/thealttex", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a7545ee525a8ce037e02092f3887cf6713e3ead5.jpg" }, { "user_id": 1018781, "full_name": "Avneet Ghotra", "title": "Founder", "founder_bio": "Hi, I'm Avneet - Co-founder and CTO of ALT TEX. I left medical school to build ALT TEX. With education and research background in biochemistry & environmental science, I lead the R&D behind ALT TEX’s food waste to fabric mission. Prior to medical school & ALT TEX, I founded Approaching Zero, a non-profit dedicated to reducing plastic pollution through production of reusable cotton produce bags. Continuing that vision, I am now building a global solution for fashion's polyester pollution. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/avneet-ghotra-51284728/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0b966fc74e0d1cba5fdf62f691cfb77b4d977a4a.jpg" } ], "jobs": [], "news": [ { "title": "Toronto startup aims to turn food waste into clothing", "url": "https://globalnews.ca/video/7477536/toronto-startup-aims-to-turn-food-waste-into-clothing/", "date": "Aug 04, 2022" }, { "title": "How Canadian clothing entrepreneurs are disrupting 'fast fashion' | CBC News", "url": "https://www.cbc.ca/news/climate/canadian-companies-environmental-fashion-solutions-1.6429603", "date": "Aug 04, 2022" }, { "title": "Women In Tech Series: Alt Tex | CTV News ", "url": "https://ottawa.ctvnews.ca/video?clipId=2337539", "date": "Dec 06, 2021" }, { "title": "ALT TEX closes $1.5 million pre-seed round to commercialize sustainable polyester alternative | BetaKit", "url": "https://betakit.com/alt-tex-closes-1-5-million-pre-seed-round-to-commercialize-sustainable-polyester-alternative/", "date": "May 19, 2021" } ], "launches": [ { "id": 65136, "title": "ALT TEX: Fabric made from food waste 🍎👕", "tagline": "Biodegradable, carbon neutral, cost competitive and high performance fabrics, engineered from the world’s largest landfill contributor - food waste.", "body": "Hey All! We’re [Myra](https://www.linkedin.com/in/myra4/) and [Avneet](https://www.linkedin.com/in/avneet-ghotra-51284728/), co-founders of [ALT TEX](http://thealttex.com). We’ve created the world’s first polyester-alternative fabric, made from food waste.\n\n![uploaded image](/media/?type=post&id=65136&key=user_uploads/578199/71da3b57-6b33-4db2-a80f-becf0dd70065)\n\n🌍 **The problem: polyester is leading fashion’s GHG emissions, but has no circular alternative.**\n\nThe fashion industry’s heavy reliance on petroleum-derived polyester textiles is a major contributor to the 10% of global GHG emissions the industry generates annually. The plastic-based material, found in 60% of the clothes we wear, creates over 50 million tons of global annual landfill waste, generates 35% of all ocean micro-plastics, and consumes 70 million barrels of oil each year.\n\nDespite 1/3 of the fashion industry committing to 0 carbon emissions by 2050, polyester, the most widely used fabric, has no fully circular, carbon-neutral alternative.\n\nAt the same time, food waste is on the rise with 1 billion tons generated annually across the world. So, we’re using one problem 🍎 to fix the other 👕. Here’s how ⬇️\n\n👕 **The Solution: Fabric created from the world’s largest waste source - food waste.**\n\nALT TEX reduces the fashion industry’s dependence on fossil fuels through its biodegradable and carbon-neutral textiles engineered from food waste. The patent-pending fermentation technology plugs into the existing polyester supply chain to provide fashion brands with a cradle-to-cradle polyester alternative without sacrificing performance.\n\nThe product solves key problems for fashion brands, consumers, and the environment:\n\n1. Fashion brands: ALT TEX sells fabric to fashion brands, allowing them to differentiate via sustainable options (sustainable fashion growing 11% CAGR) and hit sustainability targets, without sacrificing performance or changing their current supply chain.\n2. Consumer: The ALT TEX fabric is projected to be half the price vs. other specialized sustainable alternatives (due to low-cost input and scalability), meaning greater accessibility.\n3. Environment: A single shirt produced with ALT TEX fabric can divert 1 kg of food waste from landfills, 9 kg of carbon emissions from the air, and 4 g of micro-plastics from our waterways.\n\n**The Story & Future:**\n\nMyra and Avneet have worked on every school project together since the 9th grade. With Myra’s background in corporate sales and family history in the textile sector, alongside Avneet’s background in environmental science and biochemistry, the two came together in 2020 to build ALT TEX. Today, ALT TEX has created its fabric prototype, raised $2,300,000 USD in funding, secured $1,000,000 in pilot LOIs and has grown the team to 10.\n\n**How you can help:**\n\nAs we scale out of the lab and into the market over the next year, we’re looking for:\n\n1. fashion brands interested in sourcing a sustainable polyester alternative\n2. food manufacturers looking for a sustainable way to re-purpose their waste\n\nIf you’re curious or have help/resources for us, please feel free to reach out!\n\n📩 [myra@thealttex.com](mailto:myra@thealttex.com)\n\n🌐 [thealttex.com](http://thealttex.com) | [linkedin.com/company/alt-tex/](http://linkedin.com/company/alt-tex/)\n\n👩‍💻 [@thealttex](https://twitter.com/thealttex)", "url": "https://www.ycombinator.com/launches/Gwa-alt-tex-fabric-made-from-food-waste", "votes": 188, "created_at": "2022-08-04T17:08:53.742Z" } ] }, { "id": 26784, "name": "Seaflight Technologies", "slug": "seaflight-technologies", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a03c035eb081cba9d31fbf5316b214d8d910584.png", "website": "https://www.seaflight.tech", "all_locations": "Sydney, NSW, Australia; Torrance, CA, USA", "long_description": "Seaflight Technologies has developed a new form of Aerodynamic Flow Control for electrified aircraft that increases range and payload by 30%. That's the same performance improvement you'd get from hopping in a DeLorean to 2035 and coming back with batteries from the future. But it's available today - our tech has been derisked by testing supported by the National Science Foundation, the US Air Force, and the Australian Government. \r\n\r\nOur first product is a simple fixed-wing large cargo drone that is efficient enough to remove the \"green penalty\" currently associated with electric aviation. That's a step change from today's conventional platforms. \r\n\r\nFirst generation electric aircraft are heavy, expensive, complicated, and limited in terms of range and payload. In the entire history of aviation, that's never been a winning formula. When everyone already has access to the same batteries, materials, and motors, what really makes the difference? The answer is revolutionary aerodynamics, but in a form factor that suits today's operations and manufacturing. \r\n\r\nBeyond our own drone product line, we have partners across Aerospace helping incorporate our tech into their products. In the future, if you want to have the most efficient and cost-effective flying machine of any description, you'll need Seaflight's Flow Control inside. \r\n\r\n", "one_liner": "We make the world's most efficient aircraft", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1659334578, "tags": [ "Robotics", "Airplanes", "Logistics", "Climate", "Transportation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "Australia", "United States of America", "Oceania", "America / Canada", "Remote", "Partly Remote" ], "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": "Graham \"Myself and Will Sutton built the first prototypes in our garages, this was before we even got into YC. Some bits of plane are still in there. We were obsessed with the idea that if you could make an electric plane just dramatically more efficient using aerodynamics, then you'd start to get the range that'll make it viable so much sooner than anyone expects. Then it'll take on that air of inevitability that happened with cars as soon as the Model S arrived\"    " }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "Seaflight originally started out by developing “wingships”, ultra-low altitude craft that fly just a few ft above the waves for extra efficiency. After 6 prototypes and a series of record-breaking flights in Australia, the performance and market data wasn’t adding up, **so the company undertook a pivot.** With backing from the National Science Foundation and the US Air Force we developed our Aerodynamic Flow Control and immediately felt stronger pull from customers for our ultra-efficient cargo drone - one that can operate from any short airfield, anywhere. The Australian Government has funded our $2m project to develop a full flight demonstrator of our cargo drone by 2026, which will also serve as our first saleable product to early adopters in Defense and commercial operators. " }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Imagine a world where literally all short distance flight is electrified, quiet, direct, and low cost. Taking advantage of cutting-edge high lift technologies that we have government funding to develop, a much broader range of applications is on the horizon as we aim to be a global leader in large capacity drones as well as a high-value developer of key tech that can be used by every company pursuing electrified flight. We aim to show it’s possible \\*now\\* to cut costs, cut emissions, cut time, and cut worries globally with electric flight that is focused on extreme efficiency, not crazy complexity." } ], "url": "https://www.ycombinator.com/companies/seaflight-technologies", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/seaflight-technologies.json", "year_founded": 2022, "city": "Sydney", "country": "AU", "linkedin_url": "https://www.linkedin.com/company/seaflight-technologies", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a03c035eb081cba9d31fbf5316b214d8d910584.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/636ce8f3dca71a667390405d8a8afd5754714e0e.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 881099, "full_name": "Graham Doig", "title": "Founder", "founder_bio": "Graham Doig, founder/CEO of Seaflight Technologies, has >18 years experience across aerospace and automotive, and in academia with over 90 technical papers to his name as a Lockheed Martin-endowed professor. After his PhD on the aerodynamics of low altitude flight, he led the aero/range team at EV startup Canoo from early through SPAC, and conducted funded research programs with NASA, Tesla, and Joby Aviation. He designed 2 solar-electric vehicles which set international land speed records. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/graham-doig/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a31c91732204ac6b1751cdf7365ad61022f47494.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 65921, "title": "Seaflight ✈️ We make the world's most efficient airplanes", "tagline": "We use aerodynamic magic to make electric aircraft good enough to take over aviation", "body": "Hi everyone, Graham here, founder at Seaflight Technologies. We developed an aerodynamic technology for any fixed-wing aircraft that makes it possible to carry more payload, over longer distances - perfect for electric aviation to overcome the limitations of today’s batteries. Our first product is a large cargo drone called AURAE. \n\n![uploaded image](/media/?type=post&id=65921&key=user_uploads/881099/5f0e8973-d450-4958-aff1-e4820d36eae7)\n\n\n### **BATTERIES ARE NOT VERY GOOD**\n\nAviation is incredibly hard to decarbonize, and first generation electric aircraft are proving to be heavy, expensive, complicated, and limited in range. That formula has never been successful in the history of aviation. Could we just wait for better batteries? Not great - emissions keep rising, and progress is incremental - a few % improvement each year means a few % more range... What about better motors, or lighter structures? There’s a few % still on the table there too, sure.\n\nBut if you could _double_ the aerodynamic efficiency, you could double the range that’s possible with today’s batteries. \n\nSeaflight uses Aerodynamic Flow Control. It’s tech that suits today’s operations, manufacturing approaches, and form factors, and we’ve de-risked it to the point where it’s ready to fly. \n\n### **CONTROL THE AIR**\n\n**Thanks to over $2m in backing from the National Science Foundation, the US Air Force, and the Australian Government**, we’ve been able to develop and test our Aerodynamic Flow Control - an active system that pulls more air over the wing when we need it (takeoff and landing), but otherwise adds almost no mass or drag to the aircraft (unlike adding extra propulsion). \n\nBecause we triple the lift only when we need it, we can have smaller wings. Smaller wings mean less drag in cruise, which means much less energy used. \n\n**This is key enabling technology to make electric flight viable.** \n\nOur upcoming large scale flight demonstrator will take to the skies over Australia in early 2026, with a production version to follow. \n\nBest of all, this is universal technology. Every plane has wings… Seaflight’s tech can go on every plane. \n\n![uploaded image](/media/?type=post&id=65921&key=user_uploads/881099/4b0649c0-2cb1-47d2-900d-a8b8791842cf)\n\n\n### **HOW DID WE GET HERE**\n\nWill Sutton and Graham Doig founded Seaflight Technologies heading into the S22 batch. We originally worked on ultra-low-altitude “ground effect” flight. After 6 prototypes and a series of world-first flight achievements, we realized the numbers didn’t add up to viable economics. After pivoting to aerodynamic flow control and developing the new IP, including a test campaign at Caltech, it’s time to make the AURAE flight demonstrator a reality and break some world records for electric flight. \n\n### **About the founder :**\n\nGraham Doig has a PhD in aerodynamics and has worked on electric mobility for 19 years, including 2 world land speed records. He led the aero/range team at EV startup Canoo, and was a Lockheed Martin-endowed professor of engineering in a past life, working on projects with the likes of Tesla and NASA. \n\n### **Lastly, Asks 🙏**\n\nDo you know anyone involved in **logistics** that has already been looking at or using drone technology?\n\nDo you know any **wizards in electric or autonomous mobility** who are looking for a bonkers new professional challenge?", "url": "https://www.ycombinator.com/launches/H9F-seaflight-we-make-the-world-s-most-efficient-airplanes", "votes": 39, "created_at": "2022-09-08T07:48:51.950Z" } ] }, { "id": 26801, "name": "Evoly", "slug": "evoly", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/15bd487f1318bd8903bdefa5fe13d9ef7b9e0891.png", "website": "https://www.evolyenergy.com", "all_locations": "Remote, OR, USA; San Francisco, CA, USA; Lausanne, VD, Switzerland; Remote", "long_description": "Evoly makes smart electric & water meters. \r\n\r\nWe save a typical utility over $4M a year.\r\n\r\nElectric and water meter measure your consumption, A smart meter on the other hand not only measure it, it also send this consumption data and a lot more remotely and wirelessly to the utility. \r\n\r\nWe are a plug and play, easy to install, 5 times cheaper smart metering solution.\r\nWe are a B2B company and our customer are the Utilities \r\n\r\nThanks to our software they get 24/7 view on their grid and a wide range of possibilities :\r\n- Remote meter reading\r\n- Detecting fraud \r\n- Turning electricity on and off remotely \r\n- Time of use pricing ", "one_liner": "Smart electric & water meters as a service", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1656952444, "tags": [ "Climate", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "Switzerland", "America / Canada", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/evoly", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/evoly.json", "year_founded": 2021, "city": "Remote", "country": "US", "linkedin_url": "https://www.linkedin.com/company/evolyenergy/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/15bd487f1318bd8903bdefa5fe13d9ef7b9e0891.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": 589759, "full_name": "Hassan Lantry", "title": "Founder", "founder_bio": "evoly, McKinsey & Company", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hassan-lantry-008698108/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8b1e0d4ba97134e9d63e92fe94af45ed959deb34.jpg" }, { "user_id": 595265, "full_name": "Sami El Bouari", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sami-el-bouari/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e7688a7c8e918bbce4f26fde33b36e2c1acb08b8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 64320, "title": "evoly — Smart metering as a service", "tagline": "Meet evoly, the only smart metering solution that's easy to deploy", "body": "**TL;DR**\n\nAt **evoly, we make smart meters for electric, water & waste use cases.** Our software helps utilities achieve better energy efficiency & lower costs.\n\nWe're already deployed in Europe & Africa and are looking to find new customers in America.\n\n**Problem**\n\nSmart metering has been around for years, but it has always been very expensive, hard to deploy and heavy on battery usage.\n\nDue to this, more than **65% of utilities in the world still have old gen meters** - they need to be read by a technician on a regular basis to bill you. A Smart meter is an instrumental part when building a smart grid and trying to push for energy efficiency and those challenges are becoming the main priorities as we try to build a greener planet.\n\nOn waste, we help collectors know the exact level of the bins in their city to optimize collection (less CO2 - less travels)\n\n**Solution**\n\nAt evoly we make smart meters easy to deploy. By developing our own hardware leveraging a unique transmission technology: LoRa we are able to offer an **easy to install, 5 times cheaper smart metering solution.**\n\nOur software then helps utilities get 24/7 view on their grid and a wide range of possibilities:\n\n\\- Remote meter reading\n\n\\- Detecting fraud\n\n\\- Turning electricity on and off remotely\n\n\\- Time of use pricing\n\n**Our Story**\n\nDuring the Covid lockdown, we experienced the limit of old gen meters, as technicians could not come and read them to bill every households.\n\nFeeling this pain for the first time ourselves, we tried to solve it in our hometown where we used to go to high school together, before realising that the problem was actually almost everywhere around the globe.\n\nToday we help 8 cities (Europe - North Africa) in this transition and are looking to find our first customers in the US.\n\n**How you can help**\n\n**If you know anyone in the utility space in any country that could find this relevant, please feel free to reach us at** [**founders@evolyenergy.com**](mailto:founders@evolyenergy.com)**. Thank you!**\n\n\\-- Hassan & Sami", "url": "https://www.ycombinator.com/launches/GjQ-evoly-smart-metering-as-a-service", "votes": 21, "created_at": "2022-07-05T11:22:22.097Z" } ] }, { "id": 26807, "name": "MaverickX", "slug": "maverickx", "former_names": [ "Maverick Bioworks", "Maverick BioMetals", "Maverick Metals" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/863f997124ddcf68b9b2129609f950b6485be63f.png", "website": "https://www.MaverickX.com", "all_locations": "Austin, TX, USA", "long_description": "MaverickX is a chemical technology company advancing natural resource extraction. The company was founded by Eric Herrera, former Department of Defense scientist, and Jesse Evans, former startup operations manager. \r\n\r\nAs resources become more difficult to extract across the energy and mining sectors, new technologies are needed. MaverickX has a portfolio of chemical solutions -- PetroX and LithX -- to enhance recovery of oil from shale reservoirs and metals from low-grade ores. \r\n\r\nMore oil. More metal. Better chemistry.\r\n\r\n", "one_liner": "Engineering the future of chemistry for natural resource extraction", "team_size": 30, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1654465495, "tags": [ "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "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/maverickx", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/maverickx.json", "year_founded": 2022, "city": "Austin", "country": "US", "linkedin_url": "https://www.linkedin.com/company/maverickx-company", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/863f997124ddcf68b9b2129609f950b6485be63f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [], "jobs": [], "news": [ { "title": "MaverickX Pleasanton Facility Reaches Capacity Milestone as PetroX Demand Grows", "url": "https://finance.yahoo.com/sectors/energy/articles/maverickx-pleasanton-facility-reaches-capacity-160100545.html", "date": "Apr 07, 2026" }, { "title": "30 Under 30 Energy & Green Tech 2026: Meet The Founders Recharging Our Energy Future", "url": "https://www.forbes.com/sites/christopherhelman/2025/12/02/30-under-30-energy--green-tech-2026-meet-the-founders-recharging-our-energy-future/", "date": "Dec 05, 2025" }, { "title": "Maverick Metals secures $19M seed funding for copper extraction tech - MINING.COM", "url": "https://www.mining.com/maverick-metals-secures-19m-seed-funding-for-copper-extraction-tech/", "date": "Apr 03, 2025" }, { "title": "Maverick Metals secures $19M seed funding for copper extraction tech - MINING.COM", "url": "https://www.mining.com/maverick-metals-secures-19m-seed-funding-for-copper-extraction-tech/", "date": "Apr 03, 2025" } ], "launches": [ { "id": 95571, "title": "MaverickX: Next-gen chemicals that break rock to unlock valuable natural resources", "tagline": "Now expanding into oil & gas— launching our PetroX product line.", "body": "Hey YC — we’re **Eric and Jesse**, co-founders of **MaverickX**.\n\nMaverickX makes next-generation chemicals that break rock to unlock valuable natural resources — oil and critical metals.\n\nWe started in mining. Now we’ve expanded into oil & gas, launching our PetroX™ product line with multiple major operators already under contract.\n\n![uploaded image](/media/?type=post&id=95571&key=user_uploads/89898/23215d7c-5b15-4672-9408-dadbc92688ad)\n\n**🔥 The Problem**\n\nAmerican energy production has a math problem:\n\n* Only 20% of the oil in unconventional shale wells is recovered – 80% of the oil is still underground\n* Operating costs are projected to rise 40% over the next decade, heading toward $95/BBL\n\nAnd nearly 10% of U.S. oilfield deaths each year are linked to exposure to toxic chemicals still used in daily operations\n\nIt’s one of the biggest “old-tech” sectors left untouched by modern science.\n\n**⚡ What We Built**\n\nMaverickX creates next-gen chemistry that actually removes iron, breaks scale and paraffin, liberates metals and more oil from shale. We reduce operating costs and keep production flowing.\n\nWith PetroX, operators are seeing:\n\n* dramatically cleaner systems\n* lower operating cost\n* reduced downtime\n* safer field operations\n* and the ability to liberate **50%+ more hydrocarbons** in certain shale environments\n\nOur chemistry increases shale porosity by up to 40x, allowing oil to move freely where it previously couldn’t. We aren’t just swapping chemicals — we’re rewriting the physics of the reservoir.\n\n**⛽ Why Oil & Gas?**\n\nOil is the backbone of our modern economy and demand is only projected to increase.\n\nMaverickX started in mining, building better chemistries to extract metals.\\\nThen the Department of Energy contracted us for a wild project:\n\n_“Turn old oil wells into mines. Extract the metals trapped inside.”_ We did it.\\\n\\\nAnd in that process, we discovered something bigger: Our chemistry didn’t just free metals, it freed hydrocarbons — a lot of them. The moment we saw that, we knew we had to expand into oil & gas. Today we operate in South Texas with production-scale manufacturing and contracts for PetroX™ across multiple operators.\n\n# **📣 Call to Action**\n\nIf you operate or know operators of wells, SWDs, or production facilities and want:\n\n* lower operating cost\n* fewer shutdowns\n* better flow\n* safer, non-toxic chemistry\n* or more oil out of the rock you already control\n\n**We want to run a pilot with you.**\n\n👉 Email us: [**founders@maverickx.com**](mailto:founders@maverickx.com)", "url": "https://www.ycombinator.com/launches/OrT-maverickx-next-gen-chemicals-that-break-rock-to-unlock-valuable-natural-resources", "votes": 9, "created_at": "2025-11-19T20:10:33.679Z" }, { "id": 64272, "title": "🔋 Maverick BioMetals extracts lithium with microbes!", "tagline": "We extract lithium better than traditional extraction tech for hard rock assets. ", "body": "TLDR; we use a custom microbe and enzyme to extract lithium from rock at low energy and high recovery rates while producing no waste. \n\nHi, we’re Eric and Jesse. We’re passionate about using biology to solve tough problems and reducing the environmental impact of industry (and saving our customers money along the way).\n\n---\n\n---\n\n### **The Problem**\n\n**Traditional lithium extraction is energy intensive, inefficient and produces tons of waste.**\n\n### **OUR SOLUTION: LITHx**\n\n**We’ve developed a synthetic enzyme that completely solubilizes hard rock ores and extract ALL the metals.** \n\nThis happens at low temperatures, so we don’t use much energy. \n\n### ", "url": "https://www.ycombinator.com/launches/Gie-maverick-biometals-extracts-lithium-with-microbes", "votes": 23, "created_at": "2022-07-01T18:31:29.103Z" } ] }, { "id": 26880, "name": "Airhart Aeronautics", "slug": "airhart-aeronautics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8754b2c358df7ab9263e0a74ddf008cb7c8cee4d.png", "website": "https://www.airhartaero.com/", "all_locations": "Los Angeles, CA, USA", "long_description": "Airhart is making airplanes anyone can fly. Our semi-autonomous tech will enable 10x more people to fly their own planes and make flying to Tahoe as easy as driving to the grocery store\r\n", "one_liner": "Airplanes anyone can fly", "team_size": 9, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1658522825, "tags": [ "Airplanes", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "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/airhart-aeronautics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/airhart-aeronautics.json", "year_founded": 2022, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/airhart-aeronautics/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8754b2c358df7ab9263e0a74ddf008cb7c8cee4d.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": 1018211, "full_name": "Nikita Ermoshkin", "title": "Founder", "founder_bio": "Nikita Ermoshkin is an electrical and systems engineer with a degree in Electrical and Computer Engineering from Cornell University. Nikita was an avionics systems engineer at SpaceX, where he worked on Falcon 9 Fairing recovery, Falcon 9 Payload design, Falcon 9 Stage 2 avionics, and several other projects. Prior to SpaceX and Cornell, Nikita was a co-founder and systems architect at Carbon, where he worked on the development of Carbon's 3D printing technology and printer architecture.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nikita-ermoshkin-0727357b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fd240ad78616a77e03cb4552b71efbb1756a71b7.jpg" } ], "jobs": [ { "id": 103737, "title": "Avionics Manufacturing Engineer II", "url": "https://www.ycombinator.com/companies/airhart-aeronautics/jobs/laqGY6m-avionics-manufacturing-engineer-ii", "location": "Long Beach, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$125K - $155K", "equity_range": "0.10% - 0.30%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105569, "title": "Electrical Engineer", "url": "https://www.ycombinator.com/companies/airhart-aeronautics/jobs/60uB4nV-electrical-engineer", "location": "Long Beach, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$105K - $135K", "equity_range": "0.05% - 0.20%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Super-simplified aircraft promises pilots a car-like flying experience", "url": "https://newatlas.com/aircraft/airhart-sling-simplified-airplane/", "date": "Oct 15, 2024" } ], "launches": [ { "id": 71635, "title": "✈️ Airhart Sling: The first fly-by-wire personal airplane", "tagline": "Airhart is making airplanes that anyone can fly. Our advanced flight control systems make flying to Tahoe as easy as driving to the grocery store.", "body": "At Airhart, we are building airplanes anyone can fly. We’ve been working on our vehicle for close to a year now and are thrilled to announce we are working with Sling Aircraft in developing our first fully fly-by-wire and easy-to-fly airplane: the **Airhart Sling**!\n\n![](https://uploads-ssl.webflow.com/64085db05268829a421ce823/6462978da8bca97ce08640ac_OUTDOOR%20A%20RED.png)\n\n**Why are we building airplanes?**\n\nCommon small planes today look, feel, and fly the same way a car from the 1960’s looks, feels, and drives because they were designed and built in that same time. Today, many people don’t see themselves being able to drive a 1960’s manual transmission car, much less a plane from the same era.\n\nLearning the motor skills required to fly a plane today like this adds time, costs, and training complexity. Around [70 to 80%](https://download.aopa.org/epilot/2011/AOPA_Research-The_Flight_Training_Experience.pdf) of aspiring pilots drop out before getting their Private Pilot License citing these as reasons.\n\n**What is the Airhart Sling?**\n\nBased on the [Sling TSi](https://slingaircraft.com/aircraft/sling-tsi/), it will possess all the excellent features typical of a TSi:\n\n* capacity for four people (including the pilot)\n* a cruise speed of 148 KTAS,\n* a range of 800 nautical miles\n* only burning 7.4 gallons of fuel per hour.\n\nThe Airhart Sling will feature Airhart’s easy-to-fly controls, creating a safe and user-friendly airplane that anyone can fly.\n\nRead more about the Airhart Sling on our website: \n\n**Asks**\n\n* Interested in getting an Airhart Sling when it is released or know someone who would be? **Reserve your spot** with a deposit: \n* Just think airplanes are cool? **Sign up to receive updates** on our blog as we make progress: \n* **Share us** with your airplane-loving friends!", "url": "https://www.ycombinator.com/launches/IdP-airhart-sling-the-first-fly-by-wire-personal-airplane", "votes": 8, "created_at": "2024-01-09T22:13:27.818Z" }, { "id": 64872, "title": "✈️ Airhart Aeronautics - Airplanes Anyone Can Fly", "tagline": "Airhart is making airplanes that anyone can fly. Our advanced flight control systems make flying to Tahoe as easy as driving to the grocery store.", "body": "We are [Nikita](https://www.linkedin.com/in/nikita-ermoshkin-0727357b/) and [Brendan](https://www.linkedin.com/in/brendanjohnquinn/) and we are excited to launch [Airhart Aeronautics](https://www.airhartaero.com/). \n\nAirhart is making **airplanes that anyone can fly**. Our advanced flight control systems make flying to Tahoe as easy as driving to the grocery store. \n\n**Our Story** \n\n![uploaded image](/media/?type=post&id=64872&key=user_uploads/1013063/00953193-9c63-431f-a09f-165a2d6a2b4e)\n\nNikita worked at SpaceX on Falcon and Brendan worked at Apple on the M1. We met at Cornell and led a project team building small unmanned air systems capable of autonomous takeoff, navigation, landing, target recognition, and obstacle avoidance for an international competition. \n\nWhen we were learning how to fly, Brendan was flying the classic Cessna 172 and Nikita was flying a Cirrus SR20 with a glass cockpit. We had built advanced control systems before and knew what it could and should feel like – these were not it. \n\n**The Problem**\n\nCommon small planes today look, feel, and fly the same way a car from the 1960’s looks, feels, and drives because they were designed and built in that same time. Today, many people don’t see themselves being able to drive a 1960’s manual transmission car, much less a plane from the same era. \n\nLearning the motor skills required to fly a plane today like this adds time, costs, and training complexity. Around [70 to 80%](https://download.aopa.org/epilot/2011/AOPA_Research-The_Flight_Training_Experience.pdf) of aspiring pilots drop out before getting their Private Pilot License citing these as reasons.  \n\n**Our Product**\n\nAirhart is building modern airplanes with advanced flight controls that enable anyone to fly safely and with ease. Our aircraft are built with intuitive fly-by-wire controls to expertly fly your plane where you direct it to go. Safety features constantly monitor for the most common causes of accidents and stop issues before they start. Fault-tolerant electronics maintain functionality even if components fail. \n\nThis summer we are going to fly an experimental airplane equipped with our advanced flight controls and demonstrate what flying should be. We will be documenting our efforts on [our blog](https://www.airhartaero.com/post/the-airhart-promise).\n\n**Our Ask** \n\n1. **Share us** with your friends who are **pilots** and **those would want to fly a safer plane.** \n2. For **Investors**, reach out to us at [founders@airhartaero.com](mailto:founders@airhartaero.com)\n3. **Reserve your spot in line** to purchase an Airhart A1 at : ", "url": "https://www.ycombinator.com/launches/GsK-airhart-aeronautics-airplanes-anyone-can-fly", "votes": 36, "created_at": "2022-07-25T19:00:18.825Z" } ] }, { "id": 26883, "name": "Hedgehog", "slug": "hedgehog-2", "former_names": [ "Hedgehog Agriculture" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cefd49e2f001817fd856853325f328d68d72bfa7.png", "website": "http://hedgehogfoods.com", "all_locations": "San Francisco, CA, USA", "long_description": "Hedgehog builds robotic mushroom farms. Our robots eliminate labor and our AI optimizes grow conditions to increase yield. We’ll soon grow mushrooms and fungi for <1/3rd the cost of leading growers. \r\n\r\nFungi may address our food system’s biggest problems: they transform agricultural waste into protein-rich foods with near-zero environmental impact. Hedgehog’s technology is unleashing fungi as our next major food source.", "one_liner": "Building robotic mushroom farms", "team_size": 50, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1659119457, "tags": [ "Robotics", "Climate", "Food Tech", "Agriculture", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "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/hedgehog-2", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/hedgehog-2.json", "year_founded": 2022, "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/cefd49e2f001817fd856853325f328d68d72bfa7.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": 995535, "full_name": "Jamie Balsillie", "title": "Founder", "founder_bio": "Jamie is a co-founder of Hedgehog, building robotic mushroom farms. He previously founded Indigo Carbon, the largest agriculture carbon credit platform. He joined Indigo Agriculture pre-revenue and helped scale sales to >$250m as GM of two new business units. Before Indigo, he worked in software and food at McKinsey & Co. In June 2022, Jamie graduated from Stanford's MBA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jamie-balsillie/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5aa2163395da235b872c74cafa583fc7ef5b1e0b.jpg" }, { "user_id": 953786, "full_name": "Wilson Ruotolo", "title": "Founder", "founder_bio": "Wilson Ruotolo is a co-founder of Hedgehog, where he designs robotics for mushroom production. He received his PhD from Stanford, studying the design of robotic hands. He collaborated with NASA on end-effectors for martian exploration and his prototypes have been used to retrieve artifacts off the Mediterranean seafloor. He has first author publications in multiple journals, including Science Robotics, and his work is featured in TechCrunch, Popular Science, and Spotify’s Soft Robotics podcast.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/wilson-ruotolo-679a6697/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/57aabf53f1d51058462c50a0b5e4664dc4cd9ebe.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 65014, "title": "🍄 Hedgehog - Robotic mushroom farms", "tagline": "Growing mushrooms & fungi for 1/3rd cost.", "body": "**tl;dr** Hedgehog builds robotic farms that grow mushrooms and fungi for 1/3rd the cost. Fungi produce protein-rich foods with near-zero environmental impact. Our tech is unleashing them as our next major food source.\n\nHey everyone! We’re Jamie & Wilson, co-founders of Hedgehog.\n\n**Opportunity: Fungi - our next major food source?**\n\n![uploaded image](/media/?type=post&id=65014&key=user_uploads/995535/6274e56c-e42e-41de-97aa-a0e6bc59c109)\n\nFungi are unique crops. They transform agricultural waste (corn husks, wheat straw, etc.) into protein-rich, meaty-tasting food. And they do it without arable land, irrigation, or energy intensive lighting. With 30% of global greenhouse gas emissions coming from food, this is an opportunity we must seize. Fungi are our chance to produce quality food at scale with near-zero environmental impact.\n\n**Problem: They’re labor intensive** \\\nUnfortunately, producing mushrooms and fungi is labor intensive, limiting their scale and affordability. For even the most sophisticated mushroom and fungi farms, labor is the vast majority of cost. They require delicate handling and careful monitoring – difficult jobs to automate.\n\n**Solution: Robots** \\\nOh yeah. Robots. We’re building robotics and AI to automate each step of production. Autonomous dexterous manipulation harvests, breaks down, and packages the mushrooms. Computer vision and low-cost sensors power decisions like when to harvest. AI optimizes >60 dimensions to increase yield. Eliminating labor and increasing yield will reduce costs by 70%+.\n\n \n\n\\*\\*How you can help:\\*\\*\\\nWe aim to unleash fungi as our next major food source, making these healthy, sustainable foods affordable for anyone. If you’re interested in helping out, we’d love to meet:\n\n* A+ talent in robotics and ML\n* Mushroom growers\n\nReach out at [hello@hedgehogfoods.com](mailto:hello@hedgehogfoods.com)\n\nJamie & Wilson\\\n🦔", "url": "https://www.ycombinator.com/launches/Guc-hedgehog-robotic-mushroom-farms", "votes": 272, "created_at": "2022-07-29T22:20:01.173Z" } ] }, { "id": 27078, "name": "Wand Solar", "slug": "wand-solar", "former_names": [ "Allero.io", "Allero", "Wand" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d578cfd1e80bacd21b29dac7951d27cd195252dc.png", "website": "https://www.wandsolar.com", "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel", "long_description": "Wand Solar enables Solar Revenue for Income Properties owners. By empowering landlords to sell solar energy directly to tenants, we make it a no-brainer for landlords to adopt solar energy.", "one_liner": "We enable landlords to generate income from solar panels.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1658513576, "tags": [ "Solar Power", "Real Estate", "Climate", "ClimateTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Industrials", "Climate" ], "regions": [ "Israel", "Middle East and North Africa" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/wand-solar", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/wand-solar.json", "year_founded": 2023, "city": "Tel Aviv-Yafo", "country": "IL", "linkedin_url": "https://www.linkedin.com/company/wandsolar/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d578cfd1e80bacd21b29dac7951d27cd195252dc.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": 1014551, "full_name": "Idan Shahar", "title": "Founder", "founder_bio": "I always operate at the forefront of technology, curious about Kubernetes, App Innovations, Cloud Native, and OSS technologies.\nI enjoy partnering with developers and C-level executives to realize the value of Cloud Native through, public speaking, communities, and hackathons.\nI've been a backend developer most of my life, and in the last few years, I helped companies build and modernize Cloud Native applications.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/idan-shahar/", "x_url": "https://twitter.com/sh_idan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/72d905a5a098b2ed28329a16eb8eb3e325efa0b8.jpg" }, { "user_id": 1018437, "full_name": "Itai Peri", "title": "Founder", "founder_bio": "I'm super passionate about entrepreneurship, and have been in this area for the past 6 years.\nI come from a background of Software Engineering and Machine Learning, and love to solve complex problems using these two disciplines.\nIn the past I've been CTO of a B2C startup, and as a Data Scientist in another startup led a project for identifying diseases in trees using advanced Computer Vision algorithms.\nNowadays I'm working to help companies better manage their delivery pipelines.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/itayperry/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1a61f264e74c8443fc4c1b0a0706e7c577c4c7b6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 89699, "title": "🚀 Wand Solar — Utility-style solar billing for landlords", "tagline": "Landlord with Solar? Start billing tenants like a utility.", "body": "# 🚀 Wand Solar — Bill Tenants for Solar Energy Like a Utility\n\n👋 Hi everyone! We’re Idan and Itai, co-founders of **Wand Solar**.\n\n## 🔥 The Problem\n\n**Solar wasn’t built for rentals.**\n\nToday, landlords invest in solar systems for their rental properties, but **tenants get all the savings**.\n\nLandlords pay tens of thousands upfront—and see no return. ❌\n\nWe spoke with dozens of landlords who installed solar on their house, but when they moved out and kept it as a rental, they had **no way to bill their tenants** and recoup their investment.\n\n\n\n## ⚡ What We’re Building\n\n**Wand lets landlords bill tenants for solar energy—just like a utility.**\n\n* 💰 Tenants pay what they normally would for electricity (or less)\n* 🏠 Landlords finally earn from the solar systems they paid for\n* ⚡ Same utility line items and tariffs. Full transparency\n* ✨ Want to offer a deal? Set your own discount (e.g., 10%, 15%)\n* 💳 Tenants pay by credit card—just like any other utility\n* 🏦 Landlords get paid via wire transfer\n\n**_No additional hardware. No tenant disruption. Just new income from the sun._**\n\n**_You earn first, we only earn when you do_** - we charge 10% of the solar revenue you collect.\n\n## 🔄 How It Works\n\n1. **Add your property and connect your solar system -** just enter basic property info and link your solar setup.\n2. **We track solar usage in 15-minute intervals -** we measure how much solar energy your tenants use—accurately, throughout the month.\n3. **We generate monthly solar bills using your utility’s rates -** the bills reflect the same line items and tariffs your utility company uses.\n4. **Tenants receive transparent, familiar-looking bills -** nothing confusing—just clear, itemized solar billing that looks like a standard utility bill.\n5. **Tenants pay, you get paid -** tenants pay by card, you receive automatic transfers. You keep 90%, we take 10%.\n\n## 💡 Why We Built This\n\nBefore Wand, we built a DevOps startup together. But we wanted to work on something with deeper impact—something that could actually move the needle on climate.\n\nThen we saw this stat:\n\n**55% of electricity in the U.S. is used in rental properties.**\n\nYet solar adoption in rentals is almost nonexistent—because of the **split incentive problem**: landlords pay for solar, but tenants get the savings.\n\nIt’s a broken system. And it’s a massive opportunity—both for reducing carbon emissions and unlocking billions in untapped properties across the entire value chain.\n\nWe built Wand to fix it. Now, landlords can finally earn from solar, and tenants still benefit from clean, affordable energy. Win-win.\n\n🚀 [Use Our Solar Income Calculator to See How Much You Could Earn—in Seconds.](https://www.wandsolar.com/real-estate)\n\n![uploaded image](/media/?type=post&id=89699&key=user_uploads/1014551/e1089a7c-f5b5-494e-ab45-6ef4458b85d4)\n\n## 🏁 Ready to Boost Your Income?\n\n☀️ **Already have solar?**\n\n[Sign up now](http://app.wandsolar.com/signup) and **get your first month free.**\n\n_shoot us an email at _[_founders@wandsolar.com_](mailto:founders@wandsolar.com)_ after you sign up to claim it._\n\n🔧 **No solar yet?**\n\nWe’ll connect you with trusted installers—schedule a call or drop us a line \\*\\*[**here**](https://www.wandsolar.com/schedule-a-call).\n\n**Wand Solar — Utility-style billing for landlords with solar.**\n\nCheck us out → [www.wandsolar.com](http://www.wandsolar.com)\n\n📬 Questions? [founders@wandsolar.com](mailto:founders@wandsolar.com)", "url": "https://www.ycombinator.com/launches/NKl-wand-solar-utility-style-solar-billing-for-landlords", "votes": 61, "created_at": "2025-04-21T14:30:32.587Z" }, { "id": 65694, "title": "🛡 Allero - Open source project that protects your production CI/CD pipelines", "tagline": "We scanned many OSS project and found tons of CI/CD pipelines which are not protected. Allero is here to protect them all.", "body": "### **Hey Fam! 👋**\n\nI am [@Idan Shahar](https://www.linkedin.com/in/idan-shahar/?originalSubdomain=il) and together with [@Itai Peri](https://www.linkedin.com/in/itayperry/) we founded [Allero](https://allero.io/).\n\n### **📣 TL;DR**\n\n**We scanned public repositories of FreeCodeCamp, Medium, Supabase, Posthog, and many more. Guess what we found out?!**\n\n[Allero](https://github.com/allero-io/allero) is an open source () CLI policy enforcement tool that protects your production CI/CD pipeline. CI/CD pipelines tend to be messy, and there are so many variations of pipeline manifests spread across different repositories. This makes it difficult to ensure security, code quality, and compliance standards are in place in every pipeline.\n\nBy running Allero, you can easily reveal and prevent problematic pipelines across multiple organizations and repositories.🏁\n\n### **👩🏽‍💻Who is it for**\n\nYou are a DevOps engineer or a platform engineer responsible for CI/CD pipelines in your company. You have at least a few dozen pipelines, and they are complex as hell! You obviously spend so much time managing and maintaining them, which is a total nightmare. Why? because you need to ensure that the code they deliver is bug-free, not vulnerable, scalable, and ready for production.\n\n**We already found many problematic pipelines in open-source projects, and we are 100% sure there are many of them out there!**\n\n* [Medium](https://github.com/Medium/jupyterhub/blob/master/.github/workflows/test.yml#L141) - When using npm in CI, in order to avoid surprises in dependencies’ versions, you should always use `npm ci` instead of `npm install`\n* [Supabase](https://github.com/supabase/supabase/blob/master/.github/workflows/integration-tests.yml#L42) - When using `npm ci` / `npm install` without `--ignore-scripts` - you risk running unknown scripts injected by your dependencies - which may be malicious.\n\n**Are you sure you don’t have them as well? Go ahead and see for yourself** **with** **our** [**CLI**](https://github.com/allero-io/allero#%EF%B8%8F-one-minute-installation-to-run-allero-validation-on-a-daily-basis-most-recommended)**!**\n\n**Wanna help us out?**\n\nWould love for you to run our tool, and to hear your thoughts! If you’re missing any rules, please reach out to us at [founders@allero.io](mailto:founders@allero.io) or just create a [new issue](https://github.com/allero-io/allero/issues/new) in our repo!\n\nIf you found this helpful, would love you to share it with your friends. Also, a GitHub Star goes a long way in helping our journey. 🌟", "url": "https://www.ycombinator.com/launches/H5a-allero-open-source-project-that-protects-your-production-ci-cd-pipelines", "votes": 20, "created_at": "2022-08-29T17:35:55.185Z" }, { "id": 64859, "title": "Allero - Prevent Non-compliant Code from Reaching Production", "tagline": "With Allero, only high quality and secure code makes it to production.", "body": "### Hey Fam! 👋\n\nI am [@Idan Shahar](https://www.linkedin.com/in/idan-shahar/?originalSubdomain=il) and together with [@Itai Peri](https://www.linkedin.com/in/itayperry/) we founded [Allero](https://allero.io).\n\n### 📣 TL;DR\n\n[Allero](https://allero.io) scans your code delivery processes (aka CI/CD pipelines) to verify that security, code quality, and compliance checks are in place and that only valid code reaches production. 🏁\n\n![uploaded image](/media/?type=post&id=64859&key=user_uploads/1014551/711f2234-57e1-44b6-8dd5-c9e678973107)\n\n## 📖 Our Story\n\nItai and I both have been engineers for most of our careers. During my years at Microsoft, I worked with lots of companies who developed microservices in the cloud. While microservices bring lots of advantages, they also come with a lot of complexity - as there are so many of them, often by the hundreds.\n\nHundreds of microservices means hundreds of delivery processes - a significant bottleneck with DevOps engineers. I witnessed developers ending up developing their own delivery processes (CI/CD), while the DevOps team owns the process organization-wise and provides guidance to developers.\n\nThis poses a huge challenge for companies (and in particular DevOps and Platform Engineers) to ensure CI/CD pipelines are up to security, quality and compliance standards.\n\nAs a result, companies are forced to allocate significant engineering resources to deal with incidents like data breaches, complex rollbacks due to bugs, long delivery times, etc.\n\n## 🤯 We solve it with one simple CLI tool!\n\n**Manage your deployment risks with us!**\n\n* ✔️ Simply query pipelines to ensure they are up to security, compliance, and quality standards, across the entire organization.\n* 📊 Gain visibility into your pipelines across multiple SCM and CI/CD platforms in one single tool.\n* 🏃 Simplicity is our thing. Just download the CLI, generate a token, and start querying pipelines.\n\n**For example:**\n\n* Verify that every pipeline implements Snyk / SonarQube / unit/integration tests. (or any other tool!)\n* Make sure binaries are not being published to the wrong destinations.\n* Get the top 10 pipelines that fail the most / are the slowest.\n\n![uploaded image](/media/?type=post&id=64859&key=user_uploads/1014551/eae5776e-8ef1-4b8d-8b5c-49f1cda57bca)\n\n**Sounds interesting? Wanna try our alpha version? Check out our** [**Website**](https://allero.io)**,** [Sign Up,](https://www.allero.io/waiting-list) and start gaining trust in your code delivery processes again.\n\n## 🤝 Don’t have this problem but wanna help us out?\n\nWe would love to talk with Platform and DevOps Engineers\n\n* **Who work for companies that develop microservices.**\n* **With at least 150+ Engineering team.**\n* **Cares about having a healthy and secure production.**\n\nShoot us an intro email to [founders@allero.io](mailto:founders@allero.io)", "url": "https://www.ycombinator.com/launches/Gs7-allero-prevent-non-compliant-code-from-reaching-production", "votes": 118, "created_at": "2022-07-25T15:25:53.546Z" } ] }, { "id": 27198, "name": "Velontra", "slug": "velontra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f91f60fef77675614e979bd8ce01941da0e92c40.png", "website": "https://www.velontra.com/", "all_locations": "Dayton, OH, USA", "long_description": "Velontra is building a hypersonic space plane that can takeoff from anywhere in any weather. This horizontal takeoff increases launch reliability and enables customers to directly access any orbit. Our air-breathing propulsion system is up to 6 times more fuel efficient than any rocket, and uses oxygen from the air which creates thousands of pounds of additional payload capacity. \r\n\r\nWe have millions in current government/commercial contracts and LOI’s. \r\n\r\nWe have assembled a team of industry experts, government senior executives, and a NASA astronaut. \r\n\r\nThe hypersonic space plane will work by taking off from any runway with a jet propulsion system. Next, it will climb to over 100,000’ and Mach 5. At this point, it will launch a 2nd stage rocket directly into the desired Low Earth Orbit. \r\n\r\nVelontra is “boldly going where no one has gone before.”", "one_liner": "Hypersonic space plane that can take-off from any location and weather", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1657640799, "tags": [ "Commercial Space Launch", "Hardware", "Drones", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/velontra", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/velontra.json", "year_founded": 2021, "city": "Dayton", "country": "US", "linkedin_url": "https://www.linkedin.com/company/velontra/", "x_url": "https://twitter.com/Velontra", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f91f60fef77675614e979bd8ce01941da0e92c40.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": 831322, "full_name": "Joel Darin", "title": "Founder", "founder_bio": "Most recently first employee at Hermeus where I designed, built and tested a Turbine-Based-Combined-Cycle prototype demonstrator up to Mach 4+. Prior to that I worked at GE Aviation in Afterburner Design. Before GE I was at Georgia Tech where I did research in computational fluid dynamic simulations of reacting flows while obtaining a MS in Combustion. I started at Michigan State University with a BS in Mechanical Engineering. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joel-darin-b329041a/", "x_url": "https://twitter.com/JoelDarin2", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cabbc12ab839952af401dcec9f09d5c43951629d.jpg" } ], "jobs": [], "news": [ { "title": "An Ohio Hypersonic Engine Manufacturer is Blasting Off — in Business and Into the Atmosphere – TechOhio", "url": "https://weare.techohio.ohio.gov/2022/10/31/an-ohio-hypersonic-engine-manufacturer-is-blasting-off-in-business-and-into-the-atmosphere/", "date": "Oct 31, 2022" }, { "title": "Velontra Contracts with Venus Aerospace", "url": "https://www.aviationpros.com/aircraft/press-release/21279351/velontra-velontra-contracts-with-venus-aerospace-to-deliver-a-propulsion-system-enabling-airflights-around-the-globe-in-one-hour", "date": "Sep 04, 2022" }, { "title": "Greater Cincinnati startup Velontra lands spot in prestigious Y Combinator", "url": "https://www.bizjournals.com/cincinnati/inno/stories/news/2022/08/16/velontra-makes-y-combinator-summer-2022-cohort.html", "date": "Aug 16, 2022" } ], "launches": [ { "id": 65001, "title": "✈️ Velontra - Hypersonic space plane that can take-off from any location and weather", "tagline": "Propelling Innovation", "body": "Velontra is building a hypersonic space plane that can takeoff from anywhere in any weather.\n\nCheck us out at \n\n**Problem**\n\n1\\.     Conventional Rocket-based launch is expensive (>$5000 per kg)\n\n2\\.     Rocket launch cancellations cost satellite companies millions\n\n3\\.     Launch lead times are greater than 1 year\n\n4\\.     Satellite companies do not get launched into their desired orbits\n\n**Solution**\n\nVelontra is building a hypersonic space plane that can takeoff from anywhere in any weather.  This horizontal takeoff increases launch reliability and enables customers to directly access any orbit.  Our air-breathing propulsion system is up to 6 times more fuel efficient than any rocket, and uses oxygen from the air which creates thousands of pounds of additional payload capacity.\n\n![uploaded image](/media/?type=post&id=65001&key=user_uploads/848374/3cac1349-a095-4ac8-b60c-2753b8220b70)\n\n**Revenue Generating Products**\n\nHere are the steps of our tech development path.\n\n1\\.     Propulsion System\n\n2\\.     Supersonic UAV\n\n3\\.     Hypersonic UAV\n\n4\\.     Space Plane for Low Earth Orbit\n\n**How It Works**\n\nThe hypersonic space plane will work by taking off from any runway with a jet propulsion system.  Next, it will climb to over 100,000’ and Mach 5.  At this point, it will launch a 2nd stage rocket directly into the desired Low Earth Orbit.\n\n**Ask**\n\nOur Ask is for introductions to any company putting anything into orbit. We are pursuing LOI’s and customer discovery.", "url": "https://www.ycombinator.com/launches/GuP-velontra-hypersonic-space-plane-that-can-take-off-from-any-location-and-weather", "votes": 19, "created_at": "2022-07-29T15:23:52.592Z" } ] }, { "id": 27361, "name": "Polymath Robotics", "slug": "polymath-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d6f5a2035d19900b2a4411b03d2c1998b0aaa5e.png", "website": "http://www.polymathrobotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "Polymath is building a general autonomy stack for cautious vehicles. Our software allows any industrial vehicle - whether it's a tractor in a field or a bulldozer in a mine, drive itself. 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The Robot Report", "url": "https://www.therobotreport.com/polymath-robotics-to-share-lessons-learned-at-a-saas-based-startup-at-robobusiness/", "date": "Aug 14, 2024" } ], "launches": [ { "id": 65002, "title": "📍 Polymath Robotics: plug & play autonomy for industrial vehicles", "tagline": "Polymath lets you easily add autonomy to any industrial vehicle, and build your own applications via Rest API.", "body": "Hey, we’re Stefan & Ilia, founders of Polymath Robotics.\n\n**Polymath makes autonomy software for industrial vehicles.**\n\nToday we’re excited to introduce **Caladan**: a set of simulated vehicles & environments you can use to build autonomous industrial vehicle applications via Rest API.\n\n### **The problem**\n\nBuilding an autonomous industrial vehicle is a multiyear, multimillion-dollar project. Just getting a vehicle to drive itself reliably takes 6 months of engineering effort at a minimum. Even then, the autonomy itself is often buggy and unreliable, and impossible to transfer across different vehicle types.\n\nAs a result, many autonomy companies run out of steam before they even have a reliably-working product … let alone product-market fit.\n\n### **Our solution: general autonomy software**\n\nPolymath software handles generalized basic autonomy — in other words, **driving around and not hitting stuff** — for any industrial vehicle in a controlled environment. That means autonomous industrial vehicle companies can have an autonomous vehicle on day 1.\n\nSince we’re _just_ working on autonomy, we can focus on making the system **stable and reliable.** No more battling with weird controls issues or buggy obstacle detection.\n\n### Caladan: build on Polymath autonomy in simulation\n\nCaladan makes it easy to build autonomous vehicle behaviors in sim. The tool is a set of simulated vehicles & environments you can use to interact with Polymath autonomy via Rest API.\n\nThat means you can program custom autonomous vehicle behaviors and applications using Python, not ROS. And when you’re ready, whatever you’ve built in Caladan can seamlessly transition to a physical vehicle.\n\n### Product demo / example application\n\nHere’s an example application you could build with Caladan (you can download the example code [here](https://github.com/polymathrobotics/caladan_examples)).\n\n\n\nThe free version of Caladan comes with a simulated farm environment or simulated port environment. You can also reach out to us about a custom environment & vehicle in Caladan.\n\n### **Does Polymath autonomy work for my vehicle/use case?**\n\nPolymath autonomy is limited to industrial vehicles in closed environments, since the system will stop immediately if there’s trouble, and fall back on teleoperation in hazardous situations.\n\n**Use case examples:** ⛏ Mining trucks • 🚜 Agricultural vehicles • 🌲 Logging trucks • ✈️ Ground support equipment at airports • 🚢 Yard trucks\n\n### **Can I try it?**\n\nHeck yeah. You can try Caladan for free by signing up [here](http://polymathrobotics.com/product).", "url": "https://www.ycombinator.com/launches/GuQ-polymath-robotics-plug-play-autonomy-for-industrial-vehicles", "votes": 67, "created_at": "2022-07-29T15:56:38.207Z" } ] }, { "id": 27762, "name": "Ohm", "slug": "ohm-2", "former_names": [ "Byterat" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/55b1c275e0ba176abf2805a822f08b78ecea7eba.png", "website": "https://www.ohm.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Ohm’s AI platform helps Fortune 100 engineering teams accelerate the engineering and testing of complex hardware, including wearables, electric vehicles, and batteries. Launched in 2025, Ohm's platform is used by leading teams to compress development cycles, optimize test programs, and launch better products, faster.", "one_liner": "Ohm helps engineering teams accelerate hardware development & testing.", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1676603508, "tags": [ "Hardware", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "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/ohm-2", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/ohm-2.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ohm/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/55b1c275e0ba176abf2805a822f08b78ecea7eba.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": 1145681, "full_name": "Penelope Jones", "title": "Founder", "founder_bio": "Founder and CEO of Ohm. 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I love building devices from the ground up as well as giving systems the love and care they deserve.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/bailey-da-costa-411084b4/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/636e3404f41aefc6e8ef3c46ec4cf8dbb9471581.jpg" }, { "user_id": 1203378, "full_name": "Joseph Oorebeek", "title": "Founder", "founder_bio": "Hands-on aerodynamicist with experience in supersonics, hydrodynamics, automotive and aerospace, who loves building the infrastructure of the future. I thrive on experimental fluid-dynamic studies to find novel solutions to complicated problems, while leveraging simulation tools and low fidelity analysis to back up the experiments. I am happy expanding my work to include all other aspects of engineering for a good product design. On my own time I love finding the confluence of science in baking.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/joseph-oorebeek/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bbf4570f977da654a448dd37aa7260c3cfeea4cb.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 27960, "name": "Radical", "slug": "radical", "former_names": [ "Radical Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d6c4df45192bc64b3d0c669324d48fcd4465995d.png", "website": "https://www.radicalaero.com/", "all_locations": "Seattle, WA, USA", "long_description": "Radical’s StratoSats are autonomous platforms that provide satellite-like services on demand. They fly within Earth’s atmosphere to provide persistent, high performance infrastructure across applications in earth observation, connectivity, and more. Unlike satellites, StratoSats navigate freely without the need for rocket launches or orbits - reducing costs, increasing flexibility, and ensuring customers get the targeted coverage they need.", "one_liner": "Building persistent, high-performance infrastructure in the sky", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1672782390, "tags": [ "Drones", "Satellites", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "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": null, "url": "https://www.ycombinator.com/companies/radical", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/radical.json", "year_founded": 2022, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/radicalaero", "x_url": "https://twitter.com/radicalaero", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d6c4df45192bc64b3d0c669324d48fcd4465995d.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": 1045182, "full_name": "James Thomas", "title": "Founder", "founder_bio": "Co-Founder & CEO at Radical (W23) - Radical makes high altitude solar-powered aircraft. Our aircraft are able to fly continuously in the stratosphere without landing. They provide an inexpensive, zero-emissions way to connect and observe earth like never before. Prior to this I worked at Amazon Prime Air for six years (doing aerodynamics and aircraft design for delivery drones).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/james0thomas/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0b7c185c49f67aa098d46078a656757ddd68860c.jpg" }, { "user_id": 1094918, "full_name": "Cyriel Notteboom", "title": "Founder", "founder_bio": "Co-Founder & CTO at Radical (W23) - Radical makes high altitude solar-powered aircraft. Our aircraft are able to fly continuously in the stratosphere without landing. They provide an inexpensive, zero-emissions way to connect and observe earth like never before. Prior to this I worked at Amazon Prime Air for six years (mechanical design, structural analysis and optimization of delivery drones).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cyriel-notteboom/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/52ba6749c239ca49f3b800e92c8ca7c455d74f72.jpg" } ], "jobs": [], "news": [ { "title": "Radical thinks the time has come for solar-powered, high-altitude autonomous aircraft | TechCrunch", "url": "https://techcrunch.com/2024/04/24/radical-thinks-the-time-has-come-for-solar-powered-high-altitude-autonomous-aircraft/amp/", "date": "Apr 24, 2024" } ], "launches": [ { "id": 68187, "title": "Radical ✈️ High-altitude solar-powered aircraft", "tagline": "Solar aircraft for connectivity, observation, and sensing, from the stratosphere", "body": "Hi [👋](https://emojipedia.org/waving-hand/#:\\~:text=A%20hand%20waving%20most%20commonly,to%20Emoji%201.0%20in%202015.) [James](https://www.linkedin.com/in/james0thomas/) and [Cyriel](https://www.linkedin.com/in/cyriel-notteboom/) here to introduce [Radical](https://www.radicalaero.com/)!\n\nRadical makes high altitude solar-powered aircraft. Our aircraft are able to fly continuously in the stratosphere without landing. They provide an inexpensive, zero-emissions way to connect and observe earth like never before.\n\n![uploaded image](/media/?type=post&id=68187&key=user_uploads/1045182/65f89115-af17-4432-ae79-3fcbeb7b2bc5)\n\n### **Why Solar aircraft?**\n\nOur aircraft is designed to fly over specific areas for months, carrying various payloads for tasks like imagery, sensing, and telecommunications. What we’re building behaves like a drone in some ways, and like a satellite in other ways. Much like satellites, we’re able to provide service for long periods of time, but we’re also much closer to users (we fly at around 70,000 ft / 20 km altitude) and able to maneuver or remain over an area of interest. This makes what we’re building really well suited to applications that require continuous coverage or high-resolution/bandwidth data. Applications include:\n\n* Providing cell service or internet coverage\n* Aerial imagery and mapping\n* Meteorology and atmospheric sensing\n* Emergency response\n\n![uploaded image](/media/?type=post&id=68187&key=user_uploads/1045182/893208ea-fa0f-46bc-9dc7-b93042439b94)\n\n### **How it works**\n\nOur aircraft is battery electric and driven by propellers. It has a large wing for high aerodynamic efficiency and to generate the necessary lift required to fly in the thin air of the stratosphere. The wing is covered in solar cells, during the day, these power the aircraft and charge its batteries. Through the night, battery energy is deployed to continue flight. We repeat this process daily, enabling us to fly for many months without needing to land. Ultimately, battery cycle life is what limits our aircraft’s flight endurance - and we can land, carry out simple maintenance tasks and then re-launch to continue flying.\n\n### **Ask**\n\nWe’re hiring and working with customers! If you’re interested in making use of this technology or working on challenging physics technology then get in touch!", "url": "https://www.ycombinator.com/launches/Hjn-radical-high-altitude-solar-powered-aircraft", "votes": 37, "created_at": "2023-01-04T19:12:42.475Z" } ] }, { "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. 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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. 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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": 28075, "name": "Stralis Aircraft", "slug": "stralis-aircraft", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e6cd43124bbe625dfa17c771db4a40a68e9ddccb.png", "website": "https://stralis.aero/", "all_locations": "Brisbane, QLD, Australia", "long_description": "Our planes fly 10 times further than battery electric alternatives, with a lower operating cost than fossil fuel powered aircraft. Our first product is a 15 seat aircraft with a range of 800 km that enters service in 2026 with launch customer Skytrans. 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He previously supported leading emission free aircraft projects at Heart Aerospace, Ampaire, magniX and Google X, combining a strong passion for sustainability with technical engineering skills. Born in Nashville, TN, he moved to Australia at 10 and studied Aerospace Engineering at UNSW in Sydney.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bobcriner/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1c56d64a2549235047fccca6fdd75befe1f3a7c1.jpg" }, { "user_id": 1206742, "full_name": "Stuart Johnstone", "title": "Founder", "founder_bio": "Stuart is co-founder and CTO at Stralis Aircraft and is leading the development of their lightweight hydrogen electric propulsion system. Stuart started his career in engineering working on superconducting magnets for MRI and scientific applications. This multidisciplinary experience along with an MSci in Physics from University of Glasgow gave him the tools to tackle novel and interesting engineering problems that can impact the planet for the better. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stuartjohnstone1/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3de3900b4d0f72def84c487a675ceb9515872b0b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 70037, "title": "Stralis 🛫 - Emission free hydrogen electric aircraft", "tagline": "Our planes fly 10 times further than battery electric alternatives, with a lower operating cost than fossil fuel powered aircraft.", "body": "Hi! We’re [Bob](https://www.linkedin.com/in/bobcriner/) & [Stuart](https://www.linkedin.com/in/stuartjohnstone1/) from [Stralis Aircraft](https://stralis.aero/) in Australia. We make emission free hydrogen electric aircraft to help decarbonise air travel. We have $50M in LOIs for our launch product, a 15 seat aircraft with a range of 800 km that enters service in 2026 [with launch customer Skytrans](https://www.theguardian.com/world/2022/jun/30/queensland-airline-skytrans-unveils-plans-for-australias-first-hydrogen-fuelled-plane).\n\n![uploaded image](/media/?type=post&id=70037&key=user_uploads/1205655/4a8710bf-c888-40cf-9f99-5e2f9c82b9ce)\n\n**Ask:** 🙏 Intros to airlines or aircraft operators that might be interested in our products would be greatly appreciated. Contact: [bc@stralis.aero](mailto:bc@stralis.aero)\n\n**Problem - Alternatives Compromise on Range or Cost**\n\nAs other modes of transport decarbonise, aviation’s contribution to global emissions will increase. Based on our first hand experience, we believe other sustainable flight alternatives compromise on:\n\n* Battery Electric - limited range & payload\n* Hybrid Electric - expensive to operate, limited emission reduction\n* Sustainable Aviation Fuel (SAF) - expensive & emits other harmful pollutants (NOx, sulphates, particulates)\n\n**Solution - Hydrogen Electric Propulsion**\n\nWe're convinced hydrogen electric is the cheapest way to rapidly decarbonise 50% of commercial flights.\n\n* How it works - Green hydrogen and air are combined in a fuel cell stack to produce electric power, which is used by an electric motor to turn a propeller. The only thing emitted during this process is water.\n* Our proprietary hydrogen electric propulsion system is 35% lighter than the competition, unlocking useful aircraft ranges at low cost.\n* Our first product is a retrofit of an already certified aircraft, allowing us to get to market quicker and cheaper.\n* We plan to deliver 50,000 of our 48 seat SA-1 aircraft by 2050, generating $850B in revenue.\n\n**Our Backstory**\n\nWe met in 2017 at [magniX](https://www.magnix.aero/), leading teams developing electric aircraft propulsion systems for the world’s first battery powered eBeaver and eCaravan flights. The Stralis team has 85 years of aerospace experience, having developed, flight tested and certified aircraft at GoogleX, [Heart Aerospace (YC W19)](https://heartaerospace.com/), [Ampaire](https://www.ampaire.com/), Airbus, Boeing, Bombardier and Gulfstream. Now we’re on a mission to make Stralis the world’s leading emission free aircraft company. Spread the good word!\n\n![uploaded image](/media/?type=post&id=70037&key=user_uploads/1205655/03a6b905-1ceb-47e8-a006-4f45dcfaec8b)\n\n", "url": "https://www.ycombinator.com/launches/IDd-stralis-emission-free-hydrogen-electric-aircraft", "votes": 45, "created_at": "2023-03-08T05:29:54.024Z" } ] }, { "id": 28214, "name": "Atmeto", "slug": "atmeto", "former_names": [ "Keeling Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9903b97190d67a01064a67c7522d3703402c8f0c.png", "website": "https://www.atmeto.com", "all_locations": "Los Angeles, CA, USA", "long_description": "", "one_liner": "Building a frontier world model for power", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1674416288, "tags": [ "Machine Learning", "Climate", "Energy", "ClimateTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "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/atmeto", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/atmeto.json", "year_founded": 2022, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/atmeto/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9903b97190d67a01064a67c7522d3703402c8f0c.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": 310129, "full_name": "Jack O'Grady", "title": "Founder", "founder_bio": "I build applied machine learning for energy systems. Currently building Atmeto, previously at Rivian building battery data science from the ground up, where I ultimately focused on reinforcement learning for battery optimization in the R1T/R1S.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jackogrady/", "x_url": "https://mobile.twitter.com/jack_ogrady", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/044029ca7972f026b79274f3a4bf14405f53265e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 68703, "title": "Keeling Labs: Applied AI for batteries in the grid", "tagline": "We help grid-scale battery operators adapt to changes in the grid with energy management software that automatically adjusts its behavior to maximize revenue", "body": "### **Meet the Team:**\n\nI’m [Jack](https://www.linkedin.com/in/jackogrady/), the founder of [Keeling Labs](https://www.keelinglabs.com/)! I started the company because I believe that batteries are crucial to enabling more renewable energy from solar and wind, and I wanted to bring applied AI to the table to help scale the deployment, efficiency, and performance of these assets.\n\nPrior to this, I worked on battery algorithms, data, and optimization for 3+ years at Rivian, where I started the company’s Battery Data Science Team and pioneered the application of Reinforcement Learning to fast charging in the R1T/R1S.\n\n![uploaded image](/media/?type=post&id=68703&key=user_uploads/310129/7bf230b1-f162-4080-967d-104572029552)\n\n### **Let’s Talk About Grid-Scale Batteries…**\n\n**What’s Happening**\n\nThe U.S. is deploying batteries in the grid at an insane pace, but managing them is unlike any other power asset:\n\n* They don’t make their own power\n* They don’t have contracts for selling power at a fixed price\n\nBattery storage assets are constantly buying and selling power at dynamic prices, and doing that well or poorly leads to massive differences in project returns. With every new battery and renewable energy system added to the grid, though, the right thing to do shifts. Looking at planned battery additions across nearly every ISO, we can see that changes to grid dynamics will only be intensifying.\n\n![uploaded image](/media/?type=post&id=68703&key=user_uploads/310129/2997b0e7-f7be-4efa-8f8a-4ab56d9462fd)\n\n**How Our Product Handles This**\n\nRather than rely on human experience or hard-coded instructions, we make AI that learns the best way to buy and sell power specific to each battery asset – all on its own. This type of AI is called Reinforcement Learning, and it’s a paradigm shift in how we optimize hardware systems. Our product builds on the founding team’s years of experience with RL-based battery controls and optimization in the EV space.\n\nYou can read more about our technology here: \n\n![uploaded image](/media/?type=post&id=68703&key=user_uploads/310129/dd18161f-2f67-49d8-8f32-0f4cbc2b3cc8)\n\n### **One ask**\n\nWe’re looking for tech-forward industry partners to work with us as we develop an amazing product. If you have connections to the following groups, we’d love the introductions!\n\n* asset managers / battery owners\n* utilities\n\nFeel free to send me a DM on LinkedIn to get in touch: \n\n### **Quick Links:**\n\nWebsite: [https://www.keelinglabs.com](https://www.keelinglabs.com/)\n\nContact Us: \n\nJoin Our Team: ", "url": "https://www.ycombinator.com/launches/Hs7-keeling-labs-applied-ai-for-batteries-in-the-grid", "votes": 27, "created_at": "2023-01-25T16:33:06.343Z" } ] }, { "id": 28593, "name": "HyLight", "slug": "hylight", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5bcbb9e93eb3ebbc3a622b3826ec8c2df9b276d7.png", "website": "https://www.hylight.aero/", "all_locations": "Paris, Île-de-France, France", "long_description": "HyLight builds and operates the HyLighters. Our autonomous airships for long range monitoring. We focus on critical infrastructure inspections:\r\n- detecting methane leaks on pipelines.\r\n- defects & vegetation risks on power lines.\r\n- defects & vegetation risks on railways.\r\n\r\nOur innovation, the HyLighter, is a crossover between drone and airship technology. Like a drone, it is easily controllable and transportable. And, like an airship, it is extremely energy-efficient, enabling it to fly for up to 10 hours at slow speed (22mph) for optimal data collection which represents a range of 220miles. \r\n\r\nToday, energy infrastructure operators struggle with conducting inspections that are simultaneously: massive and precise. HyLight offers a solution to precisely detect issues on the infrastructure at an industrial scale, and all of this without emitting GHGs.\r\n\r\nWe are 3 co-founders experienced in hardware and energy companies with Masters in Mechanical Engineering, Computer Science and Business from the best Engineering and Business School in France.\r\n\r\nWe have manufactured 20 HyLighter and are deploying across Europe.", "one_liner": "Unmanned airships for inspecting our critical assets", "team_size": 37, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1687803555, "tags": [ "Hydrogen Energy", "B2B", "Climate", "Energy", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Industrials", "Climate" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hylight", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/hylight.json", "year_founded": 2022, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/hylightaero", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5bcbb9e93eb3ebbc3a622b3826ec8c2df9b276d7.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/62/1694197321070-kiq5u588dbg-f467142732c5e07f85aa96a7b9c386f9/e4fb42eb165fd155d7f09286629d4578.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022713Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=f7a0e201355b3d94e89b2cc6d7221794c8a51b43c1f4e770aae17bb2d8121f27", "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3a84c7aa583e7ae282f0d5c2761491dd74d862f2.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1294200, "full_name": "Thomas Laporte", "title": "Founder", "founder_bio": "Co-founder & CBO at HyLight | My goal is to reduce greenhouse gas emissions. I do that by supporting utilities in taking care of their critical infrastructure (power lines, pipelines, railways etc) and helping them in detecting defects and risks before outages.\n\nThanks to HyLight, our clients replace an old, not adapted solution (helicopter and human based inspections) with a high carbon footprint by our offer (HyLighter based inspection) with zero carbon footprint and no risks for human crews.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/thomaslaporte/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/baa91f6567508aa8dbb57a8367c6b92040bcc085.jpg" }, { "user_id": 939194, "full_name": "Martin Bocken", "title": "Founder", "founder_bio": "Co-founder & CEO of @HyLight. I'm a doer at heart, my engineering background helped me to launch several entrepreneurial projects. I devote my energy to creating and designing the innovations that will enable us to live in a low-carbon world tomorrow. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/martin-bocken/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fc2a3eb98268019633e365686398888f46b8dfc4.jpg" }, { "user_id": 1294012, "full_name": "Josef Rokusek", "title": "Founder", "founder_bio": "Co-founder & CTO of @HyLight. With a boundless passion for innovation and a commitment to sustainable solutions, I've dedicated my life to making a difference in the world. My journey began with a solid foundation in mechanical engineering and sustainable energy. This background provided me with the tools to turn my creative ideas into real-world innovations. My mission? Lead the change in reshaping society's approach to technology, making it environmentally friendly. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/josef-rokusek/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/555fb088667941d22fbe137c580424eb0139aedf.jpg" } ], "jobs": [ { "id": 117429, "title": "Spontaneous application", "url": "https://www.ycombinator.com/companies/hylight/jobs/wlKHnIf-spontaneous-application", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117430, "title": "GNC Drone Engineer Internship", "url": "https://www.ycombinator.com/companies/hylight/jobs/z7p0cKo-gnc-drone-engineer-internship", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117431, "title": "Senior Autonomous Drones Engineer", "url": "https://www.ycombinator.com/companies/hylight/jobs/m0fmCL9-senior-autonomous-drones-engineer", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117432, "title": "Talent Acquisition Intern (6 month Internship)", "url": "https://www.ycombinator.com/companies/hylight/jobs/PZdcMLO-talent-acquisition-intern-6-month-internship", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117433, "title": "Talent Acquisition Specialist (Headhunter)", "url": "https://www.ycombinator.com/companies/hylight/jobs/omvYqPw-talent-acquisition-specialist-headhunter", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117434, "title": "Embedded Software Engineer - Architecture & CI/CD", "url": "https://www.ycombinator.com/companies/hylight/jobs/8x9j1cu-embedded-software-engineer-architecture-ci-cd", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117435, "title": "Airworthiness engineer - Internship", "url": "https://www.ycombinator.com/companies/hylight/jobs/ELojucZ-airworthiness-engineer-internship", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117436, "title": "Mechanical Engineering Internship", "url": "https://www.ycombinator.com/companies/hylight/jobs/U0HI4S7-mechanical-engineering-internship", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117438, "title": "Full-Stack Engineer - Full-time position", "url": "https://www.ycombinator.com/companies/hylight/jobs/R3OoU5W-full-stack-engineer-full-time-position", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117439, "title": "Mechanical Integration and Test Engineer - Full Time Position", "url": "https://www.ycombinator.com/companies/hylight/jobs/c003rLY-mechanical-integration-and-test-engineer-full-time-position", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117440, "title": "Autonomous Drones Engineer", "url": "https://www.ycombinator.com/companies/hylight/jobs/sgux8ud-autonomous-drones-engineer", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117441, "title": "Full-Stack Engineer - Internship", "url": "https://www.ycombinator.com/companies/hylight/jobs/vYK5sYQ-full-stack-engineer-internship", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117442, "title": "Country Lead - Germany", "url": "https://www.ycombinator.com/companies/hylight/jobs/Jj0evaj-country-lead-germany", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117443, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/hylight/jobs/8nkkukr-founding-account-executive", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117444, "title": "Technicien(ne) Assemblage et Fabrication (H/F)", "url": "https://www.ycombinator.com/companies/hylight/jobs/2EbImqI-technicien-ne-assemblage-et-fabrication-h-f", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117445, "title": "Data Engineer, Airships to Cloud", "url": "https://www.ycombinator.com/companies/hylight/jobs/eRWwsMp-data-engineer-airships-to-cloud", "location": "Paris, France / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117446, "title": "Business Development Internship", "url": "https://www.ycombinator.com/companies/hylight/jobs/uQiauPv-business-development-internship", "location": "Paris, France", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117447, "title": "Embedded Software Internship", "url": "https://www.ycombinator.com/companies/hylight/jobs/S6eH5Ss-embedded-software-internship", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117448, "title": "Payload Operator & Embedded Data Analyst - internship", "url": "https://www.ycombinator.com/companies/hylight/jobs/gIiGNF0-payload-operator-embedded-data-analyst-internship", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117449, "title": "Field Operations Manager - Full time position ", "url": "https://www.ycombinator.com/companies/hylight/jobs/NQpVYGb-field-operations-manager-full-time-position", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117450, "title": "Senior Electronics Engineer", "url": "https://www.ycombinator.com/companies/hylight/jobs/ZGY1k4r-senior-electronics-engineer", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117451, "title": "Chauffeur super poids lourd (SPL) Dirigeable (H/F)", "url": "https://www.ycombinator.com/companies/hylight/jobs/6aZ4Bst-chauffeur-super-poids-lourd-spl-dirigeable-h-f", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117452, "title": "Télépilote drone et chargé de réglementation", "url": "https://www.ycombinator.com/companies/hylight/jobs/EFu32H7-telepilote-drone-et-charge-de-reglementation", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117453, "title": "Chief of Staff Associate Intern", "url": "https://www.ycombinator.com/companies/hylight/jobs/QQPRLmY-chief-of-staff-associate-intern", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "French startup HyLight raises €13 million to build autonomous airships", "url": "https://www.aerotime.aero/articles/french-startup-hylight-raises-e13-million-to-build-autonomous-airships", "date": "Oct 12, 2026" }, { "title": "HyLight raises $4M for hydrogen-powered airship drones - Tech.eu", "url": "https://tech.eu/2024/04/15/hylight-raises-4m-for-hydrogen-powered-airship-drones/", "date": "Apr 15, 2024" } ], "launches": [ { "id": 72609, "title": "HyLight 🎈 Hydrogen airships for long range monitoring", "tagline": "We help utility companies inspect their infrastructure in a sustainable & cost-effective way.", "body": "Hello everyone, we are [HyLight](https://www.hylight.aero/). We build small unmanned hydrogen airships to automatically gather massive amounts of precise data in a sustainable and cost-effective way.\n\n🚫 **The problem :**\n\nWe currently focus on:\n\n* 💨 Pipeline inspection to detect methane leaks (4% of global greenhouse gas emissions).\n* ⚡Power line inspection to prevent outages, reduce wildfire risks ($19 billion per year in the US), and ensure grid reliability.\n\nCurrent solutions (helicopters, airplanes, satellites and drones) are not adapted to make accurate, efficient and sustainable observations.\n\n✅ **Our solution** :\\\nOur solution is a crossover between drone and lighter than air technologies, using hydrogen as a lifting gas and power source.\n\n![uploaded image](/media/?type=post&id=72609&key=user_uploads/935793/71bfe7a3-7276-4501-a63f-19311f24fcb5)\n\nThis vehicle combines long range, high payload, and hovering capabilities\n\nWe have already built four prototypes, [two minimum viable products (MVPs)](https://youtu.be/MQLInmqLF7M), and are running a paid pilot with the largest power line company in Europe.\n\n🙏 **Our ask: How you can help**\n\n* **🤝 Refer:** If you know anyone that works in Oil&Gas or utilities please connect us ([thomas@hylight.aero](mailto:thoma@hylight.aero)).\n* **📣 Share:** Share this post with your network.\n* **🔔 Follow:** Follow us on [LinkedIn](https://www.linkedin.com/company/hylightaero).\n\nWe are building the perfect airborne platform to better observe, understand, and improve our world.\n\nJoin us for the flight!\n\n![uploaded image](/media/?type=post&id=72609&key=user_uploads/935793/56584ff9-a2da-41ab-985b-3a830e9f5f67)\n\n", "url": "https://www.ycombinator.com/launches/It7-hylight-hydrogen-airships-for-long-range-monitoring", "votes": 696, "created_at": "2023-06-28T14:55:01.605Z" } ] }, { "id": 28745, "name": "Nectar", "slug": "nectar", "former_names": [ "Pairly Climate", "Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7411f4ecb5153ac85174724f663e8e21142f624a.png", "website": "https://nectarclimate.com", "all_locations": "San Francisco, CA, USA", "long_description": "Nectar is the modern AI energy management platform. We automate utility data analysis to optimize energy costs, manage buildings, and report energy efficiency metrics for energy and sustainability teams. Our utility data API uses in-house AI agents to deliver the most accurate granular usage and cost data on the market.", "one_liner": "Manage energy cost & usage with AI for facility & sustainability teams", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1688762834, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "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/nectar", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/nectar.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nectarclimate", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7411f4ecb5153ac85174724f663e8e21142f624a.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": 518312, "full_name": "Allen Wang", "title": "Founder", "founder_bio": "Allen studied CS & EE and Math at MIT. Before founding Nectar with Katherine, he worked at Scale AI and Google. Talk to Allen about climate, math, or card magic.", "is_active": true, "linkedin_url": "https://linkedin.com/in/allenwang314", "x_url": "https://twitter.com/AllenWang314", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5e0c49b46c9b76c69f64f4aa710de5fc3ab319d2.jpg" }, { "user_id": 672812, "full_name": "Katherine He", "title": "Founder", "founder_bio": "Katherine studied computer science and business management at MIT. Previously she's worked at Two Sigma building financial pipelines that move millions of dollars daily. She holds a US record in poetry memorization.", "is_active": true, "linkedin_url": "https://linkedin.com/in/katherine-he", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cb198326c4987ca23dabdb5d1ea4048300d71f70.jpg" } ], "jobs": [ { "id": 97708, "title": "Sales Development Representative (SDR) (Contract to Hire)", "url": "https://www.ycombinator.com/companies/nectar/jobs/V0LHrvP-sales-development-representative-sdr-contract-to-hire", "location": "San Francisco, CA, US / Remote (US)", "type": "Contract", "role": "Sales", "role_type": null, "salary_range": "$65K - $100K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 28794, "name": "Ohmic Biosciences", "slug": "ohmic-biosciences", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b68cb6a90af9c37176d63232ab7f6372925388d.png", "website": "https://ohmicbiosciences.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Pests and pathogens cost the world hundreds of billions of dollars every year. Existing technologies like agrochemicals are no longer working. Ohmic Biosciences uses protein engineering to design resistance genes for crops that are robust to pathogen evolution.", "one_liner": "Genetically engineering plants for disease resistance.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Agriculture", "launched_at": 1689702500, "tags": [ "Synthetic Biology", "Biotech", "Climate", "Agriculture", "Genetic Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Industrials", "Agriculture" ], "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/ohmic-biosciences", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/ohmic-biosciences.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ohmic-biosciences", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b68cb6a90af9c37176d63232ab7f6372925388d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1293563, "full_name": "PJ Steiner", "title": "Founder", "founder_bio": "I'm a protein engineer, synthetic biologist, and computer scientist. I studied computer science at MIT (SB/MEng) and then synthetic biology at Cambridge (PhD) and UCSD (postdoc). After two years as a scientist at Bolt Threads engineering yeast for protein production, I moved to the University of Colorado Boulder to work on a DARPA project using protein engineering to turn plants into chemical biosensors. My co-founder Matt and I founded Ohmic to make plants resistant to disease.", "is_active": true, "linkedin_url": "https://linkedin.com/in/pjsteiner", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ffbbe4cdd117cdb5d1833d399a417f33612afa78.jpg" }, { "user_id": 1350610, "full_name": "Matthew Bedewitz", "title": "Founder", "founder_bio": "I'm a plant biochemist with experience in protein engineering, genetics and analytical chemistry. I studied Horticulture Science (BS), and then Plant Breeding, Genetics, and Biotechnology (PhD) at Michigan State where I characterized enzymes in tropane alkaloid production for nerve agent antidotes and stimulants (including cocaine). That work led me to a DARPA protein engineering project where I met my cofounder, PJ, and we decided to use our skills to tackle crop disease resistance.", "is_active": true, "linkedin_url": "https://linkedin.com/in/matthew-bedewitz-915848239", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8a7b8411e8a6c8a66af0dd9bada25c96e6f74894.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73380, "title": "Ohmic Biosciences: Genetically engineering disease-resistant plants", "tagline": "We use protein engineering to create resistance traits for any disease in any plant.", "body": "**TL;DR:** Ohmic Biosciences genetically engineers plants to make them resistant to disease. Our first product is a soybean resistant to a parasite that causes over $1.5B of yearly damage in the US alone.\n\n**The Problem**\n\nPlant diseases cost the world more than $200B every year. Climate change and trade globalization are accelerating the problem, but existing solutions are failing. Today, crop diseases are controlled in two ways:\n\nAgrochemicals are slow and expensive to commercialize. Once pathogens evolve resistance to them, they are useless. Many are being taken off the market and it is increasingly difficult to get new products approved.\n\nGenetic resistance traits are a better solution - no spraying - but are plagued by a basic tradeoff: they usually either work really well but are easy for pathogens to evolve around, or are robust to pathogen evolution but don't work so well.\n\nThis comes down to a basic limitation of plant breeding and biotechnology as practiced today: both amount to hoping the gene you want already exists in nature and embarking on a fishing expedition to find it. Sometimes that works, but there's no reason to believe that genes useful for industrial agriculture will have evolved naturally.\n\n**The Solution**\n\nOhmic Biosciences is taking a different approach. We are protein engineers. We know what traits we want; instead of hoping nature already made them, we're engineering them ourselves.\n\nPlant pathogens have a difficult job. To even start infecting a plant they need to breach the plant's tough cell wall and disable its innate immune system. They do all of this by secreting a whole suite of effector proteins that attack the plant in various ways. We engineer proteins that inhibit those effectors, effectively defanging plant diseases.\n\nWe're starting by focusing on soybean cyst nematode (SCN), a tiny parasitic worm that has completely infested the US and causes >$1.5B in yield loss every year. That number is probably an underestimate, because SCN is an insidious root parasite that rarely causes visible above-ground symptoms - just yield loss.\n\n![uploaded image](/media/?type=post&id=73380&key=user_uploads/1293563/79777d2d-a15c-4669-9d68-5cf2a36c8fcf)\n\n_Above: soybean cyst nematode infection on soybean roots._\n\n**About Us**\n\nWe met as postdocs at the University of Colorado Boulder where we worked together for 2.5 years on [**engineering plant hormone receptors**](https://www.nature.com/articles/s41587-022-01364-5) into biosensors. Before that, PJ worked in CS and synthetic biology and Matt worked in plant genetics and biochemistry.\n\n**Ask**\n\nPlease get in touch if you or anyone you know is interested in protein engineering for agriculture! Find us on LinkedIn [here.](https://www.linkedin.com/company/ohmic-biosciences/)", "url": "https://www.ycombinator.com/launches/J5Y-ohmic-biosciences-genetically-engineering-disease-resistant-plants", "votes": 43, "created_at": "2023-07-28T19:41:51.431Z" } ] }, { "id": 28841, "name": "Baud", "slug": "baud", "former_names": [ "Neuralyze", "Cerelyze", "Zener", "Front", "Zener", "SuperCraft", "Ponder", "SuperCraft", "Baud Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ea89d0878c367c79b3a58c19eb1323a648e3f38.png", "website": "https://baudlabs.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Novel AI hardware built from first principles to let companies train, fine-tune, and deploy frontier models with orders of magnitude better performance than incumbents", "one_liner": "AI chips for ultra-fast training and inference", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1688534176, "tags": [ "Hard Tech", "Semiconductors", "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/baud", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/baud.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/baud-labs-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ea89d0878c367c79b3a58c19eb1323a648e3f38.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": 1348413, "full_name": "Sarang Zambare", "title": "Founder/CEO", "founder_bio": "Multi-time founder with 4 patents and 7+ years in deep learning and AI hardware. ML lead for Peloton Guide from concept to 100,000+ devices shipped. Previously founding ML engineer at Peloton and Caper (acquired by Instacart). Also a certified pilot.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sarang-zambare", "x_url": "https://twitter.com/sarangz11", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d9ae5ac000c0c036f4b5022a8dd94a1b90a9e2a9.jpg" }, { "user_id": 3805085, "full_name": "Eric Taylor", "title": "Founder & Chief Hardware Architect", "founder_bio": "Experienced ASIC Architect with over a decade of industry experience, including four tape-outs, two major IP releases, two patents, and a publication. Prior roles at NVIDIA, Freescale/NXP, Arteris IP, and Enfabrica.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eric-taylor-995b923b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/54e1b3deed285b11303c26e69ac744fbf80d5f4c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 104577, "title": "Baud - AI Chips for Accelerated Training and Inference", "tagline": "Novel AI hardware and developer platform, co-designed from first principles to let businesses create frontier models with orders of magnitude better performance than incumbents", "body": "**TL;DR**\n\nBaud is building a new chip for training and inference of large AI models\n\nWe have developed a new arithmetic representation of neural networks that does not contain multiplications. Our silicon is architected specifically for this representation and doing this lets us train and serve AI faster and more efficiently than incumbents.\n\n![uploaded image](/media/?type=post&id=104577&key=user_uploads/1348413/43bfbd38-2274-4963-b225-3714d18f7c65)\n\n\\\n\\\n**Our Team** \n\n* **Sarang Zambare**, multi-time founder with 4 patents and 7+ years in deep learning and AI hardware. ML lead for Peloton Guide from concept to 100,000+ devices shipped and founding engineer at Caper (acquired by Instacart) building edge deep learning models.\n* **Eric Taylor**, ex-NVIDIA chip design veteran with a decade of experience including 4 tape-outs on leading process nodes, two major IP releases, multiple patents and publications, prior roles at NVIDIA, Freescale/NXP, Arteris IP, and Enfabrica.\n\n\\\n\\\n**The Problem**\n\nWe are living in exciting times where humanity has figured out a way to turn sand and sunlight into machines of scientific discovery.\n\nBut creating and serving these machines aka frontier AI models, is extremely capital intensive.\n\nNVIDIA’s publicly documented training recipe of the Nemotron model took **6144 H100 GPUs**, going on for around 3 months, drawing around **4.3 megawatts** of electricity.\n\n![uploaded image](/media/?type=post&id=104577&key=user_uploads/1348413/eddfed11-11fd-41b3-bbc2-8bb950078002)\n\nThat's **$44M in rentals or $245M in capex** plus an ungodly number of developer hours standing up distributed training. Models like Claude Opus 4.6 surprised the world, and that's just the beginning. But at these numbers, **only a handful of teams on Earth control the frontier in AI** and have a shot at a new opus-level moment in other domains like robotics, world models, drug discovery, material science, physics, simulation, the list goes on.\\\n\\\nCurrent attempts at solving this such as Cerebras, Groq, Etched, D-Matrix and 50 other chip startups are only attacking the silicon side and leaving the fundamental math side of the problem untouched, because they are focused on inference and hence have to run existing model weights.\n\nWhen we looked deeper, we found that if you let go of the constraint of running existing model weights, a radically different silicon architecture becomes possible, with an order of magnitude better performance.\n\nWe think we're just scratching the surface of what's possible when you co-design the hardware with the model architecture.\n\nAnd that’s what we are betting the farm on.\n\n**Solution**\n\nWe have developed a new way to represent neural network architectures that eliminates multiplications from both the forward and backward passes, and also compresses the weights by more than 10x without any loss in intelligence. The catch is that you need to train the model in this representation, or start with a base model that is also in this representation.\n\nBoth during training and inference, our chip does not need multiplier circuits.\n\nThis makes our individual cores drastically smaller and simpler than say GPU’s tensor cores or the PEs in TPU’s systolic arrays.\n\nWhich means we can pack way more compute and SRAM on the die and move way more weights for the same memory bandwidth.\n\nThis makes our chip faster, less power hungry and simpler to build.\\\n\\\nWe provide a developer platform based on our hardware that makes creation of frontier AI frictionless and economical to serve, so businesses of all sizes can start owning their intelligence.\\\n\\\n**We are live already**\n\n![uploaded image](/media/?type=post&id=104577&key=user_uploads/1348413/fb27985c-5941-4f2b-aac1-a81378047b7c)\n\nOur first chip is validated on the Global Foundries 12nm process and on schedule for tape-out by the end of this year.\\\n\\\nOur training and inference service is already live on a cluster of FPGAs running the chip architecture in emulation.\\\n\\\nUsing FPGA emulation, we've developed a compiler and a distributed training stack that converts any PyTorch exportable model to our format with bit exact results in most cases, including popular opensource architectures such as GLM, Qwen, Gemma, DeepSeek, Flux, Wan and others.\\\n\\\nYou can checkout a small demo of our chip running in emulation on a single FPGA here: \n\n**Our partner program**\\\n\\\nBaud is now working with design partners who can test our systems and help smooth out the developer experience, in exchange for reserved capacity on our first cluster for training and inference.\\\n\\\nCapacity is limited. Contact us if you are training something new or are tired of paying through the nose for intelligence that you do not own.\\\n\\\n\n\n![uploaded image](/media/?type=post&id=104577&key=user_uploads/1348413/7e141e34-4913-4656-b502-b1b7201eeb73)\n\n", "url": "https://www.ycombinator.com/launches/RCj-baud-ai-chips-for-accelerated-training-and-inference", "votes": 98, "created_at": "2026-07-06T15:52:27.467Z" } ] }, { "id": 29134, "name": "Cognitio Labs", "slug": "cognitio-labs", "former_names": [ "Flair Technology Services Inc.", "Flair", "Flair Health", "Flair Technologies" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef89599f5919a67db2c626d5aa12b8e6f38bf8da.png", "website": "https://cognitioiq.com", "all_locations": "Los Angeles, CA, USA", "long_description": "CoAsync by Cognitio Labs is the AI back office for product quality compliance teams.\r\n\r\nWe help mission-critical food manufacturers automate repetitive, document-intensive workflows.\r\n\r\nWe started with Certificates of Analysis (COAs), one of the many workflows quality teams manage before products can ship. Today, this work is still performed manually across PDFs, emails, spreadsheets, and disconnected ERP systems. \r\n\r\nOther documents we help quality teams respond to 24x7 include supplier audit questionnaires, production schedules, lab reports & changes in product specifications and quality records.\r\n\r\nCoAsync automates the workflow by:\r\n\r\nReading supplier documents\r\nExtracting laboratory data\r\nValidating product specifications\r\nApplying compliance requirements\r\nDrafting compliant COAs\r\nOrganizing audit-ready documentation\r\n\r\nResults from one of our initial deployments with a mid-market food processor:\r\n\r\n85% less QA administrative work\r\n4× more COAs processed per shift\r\n1-2 hours saved per document\r\nNew product onboarding in under one day\r\n\r\nCOAs are just the beginning. Our vision is to build the AI back office for product quality and compliance across regulated industries by automating the many document-intensive workflows manufacturers manage every day.\r\n\r\nBacked by Y Combinator and leading investors. Founder Diva Avaya Sharma has presented example AI workflows for product quality and compliance through the World Economic Forum Centre for Advanced Manufacturing and Supply Chains' SmartStart initiative and at the International Telecommunication Union's AI for Good Global Summit, organized in partnership with the United Nations.\r\n\r\nKnow a company shipping food & product urgently? Help them get started with their own document workflows at https://cognitioiq.com", "one_liner": "AI back office for food product quality teams", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1690407835, "tags": [ "AIOps", "B2B", "Data Science", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "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/cognitio-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cognitio-labs.json", "year_founded": 2025, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cognitio-labs/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef89599f5919a67db2c626d5aa12b8e6f38bf8da.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 339188, "full_name": "Diva Avaya Sharma", "title": "Founder", "founder_bio": "Diva is the founder of Cognitio Labs (former Flair telehealth) and inventor of a patented remote patient monitoring device. Previous companies & projects at Ancestry.com, Facebook, Johnson & Johnson, and the Stanford School of Medicine. Alum: Stanford University (Bachelors)", "is_active": true, "linkedin_url": "https://linkedin.com/in/diva-sharma", "x_url": "https://twitter.com/adivawhocodes", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/66eb801562304c65890ec479268fc5fa4cacc625.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109669, "title": "Cognitio Labs - the AI Back Office for Product Quality Teams", "tagline": "CoAsync by Cognitio Labs, the AI back office for product quality teams.", "body": "CoAsync by Cognitio Labs, the AI back office for product quality teams.\n\n\n\nCertificates of Analysis are one of the sources of documentation clogging food and consumer product shipments today. Every day, millions of dollars of product sit waiting to ship because paperwork isn't ready to certify it is safe.\n\nBefore food can leave a facility, quality teams review supplier documents, lab reports, product specs, and regulatory requirements to produce a COA, the document certifying a product is safe, meets quality standards, and complies with destination-country rules. That still happens across PDFs, emails, spreadsheets, and disconnected ERPs, and a single COA can take hours.\n\nCoAsync ingests supplier documents, extracts lab data, validates specifications, applies country-specific compliance requirements, and drafts audit-ready COAs, keeping quality teams in control at every step.\n\n![uploaded image](/media/?type=post&id=109669&key=user_uploads/339188/d089cbb5-ccba-49ee-a89b-29f4ad88253f)\n\n\nResults: A Fresno-based dry fruit manufacturer cut COA processing from 8 hrs/week to under 1 hr in a six-week deployment, an 85% drop in QA admin work. A California fig grower now processes 4x more COAs per shift, saving 1 to 2 hours per document, and onboarded in under a day.\n\n![uploaded image](/media/?type=post&id=109669&key=user_uploads/339188/c9de609b-22b8-4634-a6d0-47768cd58e52)\n\n\nWe're starting with food, one of the most document-intensive, regulated supply chains in the world, building toward an AI operating system for safety and quality across consumer products adoption.\n\nOur founder @[Diva Avaya Sharma](https://www.linkedin.com/in/diva-sharma/) presented on critical supply chains adopting artificial intelligence tools at the World Economic Forum's SmartStart Manufacturing Initiative Initiative and the AI for Good Global Summit (International Telecommunications x United Nations).\n\nIf you know a food, consumer products, or ingredients manufacturer buried in paperwork overload, we welcome an introduction: .\n\n![uploaded image](/media/?type=post&id=109669&key=user_uploads/339188/7e9b5cea-da52-47c8-b61a-c419b89e02bf)\n\n\n#YCLaunch #FoodTech #SupplyChain #AI #FoodSafety", "url": "https://www.ycombinator.com/launches/SWr-cognitio-labs-the-ai-back-office-for-product-quality-teams", "votes": 2, "created_at": "2026-08-07T17:12:02.313Z" }, { "id": 104819, "title": "Cognitio Labs: The AI back office for Food & Product Quality", "tagline": "The AI back office for Food & Product Quality", "body": "[Cognitio Labs ](https://cognitioiq.com/)is building CoAsync, the AI back office for product quality teams. We started with one of food's most document-intensive workflows: the Certificate of Analysis.\n\n85% less QA admin time. 4× more COAs per shift. New products onboarded in under a day.\n\nEvery day, millions of dollars of food sit waiting to ship because the paperwork isn't ready.\n\nBefore food can leave a facility, quality teams manually review supplier documents, lab reports, product specifications, and regulatory requirements to produce a Certificate of Analysis (COA). It's just one of dozens of document-heavy workflows quality teams manage every day.\n\nToday, that work still happens across PDFs, emails, spreadsheets, and disconnected ERP systems. A single COA can take hours.\n\nOver a six-week deployment, the manufacturer reduced COA processing time from 8 hours per week to under 1 hour, centralized supplier documentation, and dramatically improved audit readiness. The result was an 85% reduction in QA administrative work.\n\nCoAsync ingests supplier documents, extracts lab data, validates specifications, applies country-specific compliance requirements, drafts compliant COAs, and prepares audit-ready documentation while keeping quality teams in control at every step.\n\nWe're starting with food because it's one of the most document-intensive, highly regulated supply chains in the world. Our vision is to build the AI back office for product quality and compliance across every regulated industry.\n\nThis summer, our founder [Diva Avaya Sharma](https://linkedin.com/in/diva-sharma) is presenting example AI workflows for product quality and compliance through the World Economic Forum Centre for Advanced Manufacturing and Supply Chains’ SmartStart initiative and at the AI for Good Global Summit, organized by the International Telecommunication Union (ITU) in partnership with the United Nations. These examples explore how AI can reduce repetitive documentation, strengthen compliance, and support the next generation of quality, manufacturing, and supply chain professionals.\n\nAre you a food quality manufacturer or processor ready to see CoAsync on your own products? Upload a supplier document, a sample lab report, and a historical COA, and watch your quality workflow automate in minutes on ", "url": "https://www.ycombinator.com/launches/RGd-cognitio-labs-the-ai-back-office-for-food-product-quality", "votes": 3, "created_at": "2026-07-06T15:52:02.427Z" }, { "id": 99119, "title": "Cognitio Labs – Real-time food traceability for safety and compliance", "tagline": "Automating real-time food traceability for FDA compliance", "body": "[Cognitio Labs](https://cognitioiq.com) is an applied AI research lab building real-time compliance infrastructure for regulated supply chains, serving as the first line of defense against recalls and regulatory failure.\n\nView our launch video at: [**https://youtu.be/iFD6vxaS0eY**](https://youtu.be/iFD6vxaS0eY)\n\nWhen a food contamination event happens, time is everything. If traceability takes days instead of hours, entire product categories get destroyed, brands lose trust, and recalls cost $10M to $100M+.\n\nYet today, most operators still rely on spreadsheets, PDFs, and manual logs. Traceability data is fragmented across facilities, systems, and partners, and critical events like temperature, handling, and lot transformations are not automatically captured or standardized. As a result, generating accurate, regulator-ready records is slow, manual, and error-prone.\n\n**Why now:** The FDA’s [FSMA 204 rule](https://www.fda.gov/food/food-safety-modernization-act-fsma/fsma-final-rule-requirements-additional-traceability-records-certain-foods) requires companies to produce standardized, lot-level digital traceability records within 24 hours by 2028, impacting over 60,000 U.S. food facilities. The regulatory bar is rising, but the infrastructure to meet it requires improvement.\n\nWe are building that infrastructure.\n\nOur system uses sensors and AI to automatically capture key events such as temperature, humidity, handling, and lot-level movements across production, storage, and transit. We convert fragmented operational data into standardized, FSMA 204-compliant traceability records and generate regulator-ready reports in real time.\n\nCompliance is generated as operations happen, not after.\n\nThis becomes the first line of defense by enabling faster recalls, reducing spoilage, eliminating manual compliance work, and protecting contracts, insurance coverage, and brand equity. Avoiding even one major recall can save $10 million to over $100 million.\n\nCognitio Labs was founded by [Diva Avaya Sharma](https://www.linkedin.com/in/diva-sharma/), a Stanford-trained technologist who previously built a patented remote patient monitoring system integrating sensors and machine learning in regulated healthcare environments, recognized by global development institutions and national innovation programs.\n\nWe are starting with food and expanding into other regulated, high-risk supply chains.\n\nLearn more at [**cognitioiq.com**](http://cognitioiq.com).\n\nFollow our Linkedin Page [**here**](https://www.linkedin.com/company/110755112/)**.**", "url": "https://www.ycombinator.com/launches/Pmh-cognitio-labs-real-time-food-traceability-for-safety-and-compliance", "votes": 11, "created_at": "2026-03-26T19:07:46.555Z" } ] }, { "id": 29146, "name": "Singularity", "slug": "singularity", "former_names": [ "Singularity Space" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/992f82455265202b720c9d34ee95f7a7b0ffbcc9.png", "website": "https://www.singularityus.com/", "all_locations": "Los Angeles, CA, USA", "long_description": "Singularity is answering humanity’s call to engineer counter-weapon systems at scale. We build to protect people on the battlefield and at home.", "one_liner": "Building and Protecting an Exciting Future", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1784043755, "tags": [ "Hardware", "Manufacturing", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "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/singularity", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/singularity.json", "year_founded": 2023, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/singularity-defense", "x_url": "https://www.x.com/singularitydefc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/992f82455265202b720c9d34ee95f7a7b0ffbcc9.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": 1314399, "full_name": "Jack Oswald", "title": "Founder", "founder_bio": "Passionate rocket propulsion engineer. - 1st Technical Hire at Impulse Space - Propulsion @ SpaceX - Analysis @ Tesla - MIT Grad - Stanford Dropout", "is_active": true, "linkedin_url": "https://linkedin.com/in/jack-oswald-258baa96", "x_url": "https://twitter.com/JackOswald10", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9638153ec78f9c45e94bfd313706edf7a78a98c4.jpg" } ], "jobs": [], "news": [ { "title": "Interceptor Startup Singularity Emerges from Stealth with an $80M Series A at a $400M Valuation", "url": "https://www.tectonicdefense.com/interceptor-startup-singularity-emerges-from-stealth-with-an-80m-series-a-at-a-400m-valuation/", "date": "Jul 14, 2026" } ], "launches": [] }, { "id": 29158, "name": "Feanix Biotechnologies", "slug": "feanix-biotechnologies", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8ebea1f97b9fb9414d0775e2f2eff98efacb7b81.png", "website": "https://www.feanixbio.com/", "all_locations": "Asheville, NC, USA", "long_description": "Feanix is a trailblazing force in the trillion-dollar animal breeding industry. Feanix leverages proprietary genetic testing advancements to provide genetics and breeding as a service. \r\n", "one_liner": "Farm Genetics Made Easy - Using DNA and Software", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Agriculture", "launched_at": 1691628578, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Industrials", "Agriculture" ], "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/feanix-biotechnologies", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/feanix-biotechnologies.json", "year_founded": 2022, "city": "Asheville", "country": "US", "linkedin_url": "https://www.linkedin.com/company/feanix-inc/about/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8ebea1f97b9fb9414d0775e2f2eff98efacb7b81.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": 1142918, "full_name": "Mitchell Angove", "title": "Founder", "founder_bio": "Hi, I am Mitch and I am a Co-Founder of Feanix Biotechnologies. At Feanix we focus on utilizing DNA to create a new generation of efficient and healthy agriculture. I grew up on a farm and have spent a lifetime in agriculture working to make a better future of food. I have a Bachelors in Genetics and a Masters in Animal Science. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mitchell-angove-044b53163/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6692886c94c6818b74020b6dd7f5a9ba0fc2258d.jpg" }, { "user_id": 1155754, "full_name": "Tom Bishop", "title": "Founder", "founder_bio": "Co-founder and CSO of Feanix Biotechnologies. Completed a BSc with honors in Biochemistry and PhD in Genetics at the University of Otago in New Zealand. Was a Postdoctoral Scholar in the department of Animal Science at UC Davis for five years. Research highlights include developing a chemical treatment to improve regeneration of non-regenerative tissues, developing a transgene to differentiate between X and Y chromosome sperm, and developing a new method for transgene delivery to avian embryos.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tom-bishop-64253a280/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7239e1062111af8dbd2fd3cb30d94de67fb72067.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73986, "title": "🐄 Feanix Bio - GEN AI: GENetics for Artificial Insemination", "tagline": "Revolutionizing the trillion-dollar animal breeding industry by combining genomics and breeding advising software", "body": "📈**Revenue**: We launched our first test at the end of March and have done over $100,000 in cumulative revenue\n\n![uploaded image](/media/?type=post&id=73986&key=user_uploads/1142918/a1fb92c2-52f6-4193-a356-df4d183df9b6)\n\n**🚜Market**: Animal breeding is a trillion dollar industry.\n\n❔**Problem**: Herds today suffer from a proliferation of genetic defects due to massive inbreeding over the past 50 years.\n\n✨**Solution**: Breeding as a service. Our breeding software platform, powered by our proprietary genetic testing, makes the optimal breeding decision easy. Farmers juggle many roles, we make sure geneticist is not one. With Feanix, farmers make the best pregnancies, create healthy and productive cows, and focus on running their business.\n\n⚙️**How it Works**: Farmers send us a single hair from their cows. We genetically test each hair for mutations. Using machine learning, we search the bank of parent genetics available to find each cow’s perfect match. Farmers approve their matches. We then order the semen and make their pregnancies happen.\n\n![uploaded image](/media/?type=post&id=73986&key=user_uploads/1142918/4a05dfb3-d674-4458-bc00-3c7b6c8035fe)\n\n⏳**How we got here**: In an effort to improve his hobby racing pigeon flock, Tom discovered two new genetic technologies. The first, a way to extract DNA from just a single feather. The next, a novel mutation detection method. Our team quickly realized the potential of Tom’s inventions to revolutionize agriculture. We then developed a software platform based around machine learning and genetic matching to best utilize the genetic information farmers receive from our tests.\n\n# We Live and Breathe Agriculture\n\n🐦 [Tom](https://www.linkedin.com/in/tom-bishop-64253a280/): Drives our scientific vision. Raised on a New Zealand dairy farm, understands the science behind everything ag, BS, Honors, PhD, and Post-Doc in Agricultural Genetics, avid pigeon racer and geneticist. Chat with me about #pigeon-racing #invasive-species\n\n🐄 [Mitchell](https://www.linkedin.com/in/mitchell-angove-044b53163/): Empowers farmers with our technology. 23+ years experience in dairy farming. Previous research lead at the largest dairy ag company. B.S in Genetics and Masters in Animal Science from UC Davis. Chat with me about #rewilding #farm-economics\n\n# Share: [LinkedIn](https://www.linkedin.com/company/feanix-biotechnologies-inc) [Website](https://www.feanixbio.com/)\n\n# If you know any farmers or Ag Companies who might benefit, please give us an intro!\n\n# [founders@feanixbio.com](mailto:founders@feanixbio.com)", "url": "https://www.ycombinator.com/launches/JFK-feanix-bio-gen-ai-genetics-for-artificial-insemination", "votes": 32, "created_at": "2023-08-10T01:43:26.020Z" } ] }, { "id": 29183, "name": "Navier AI", "slug": "navier-ai", "former_names": [ "NavierAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/013b05510174120a0b1551eb38a764500bbd5525.png", "website": "http://navier.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Navier AI is building the first Agent-Driven Engineering platform.\r\n\r\nWe believe engineers should focus on designing great products, not wrestling with simulation software.\r\n\r\nNavier AI makes it simple to run CFD simulations at scale through our web-based platform built on OpenFOAM, the industry-standard solver for CFD. Our AI agents autonomously handle the complex, time-consuming steps of simulation—from geometry cleanup and meshing to solver configuration and cloud resource management.\r\n\r\nBy automating the tedious parts of the workflow, we enable engineering teams to move faster, explore more design possibilities, and spend their time on high-value engineering decisions.", "one_liner": "Agent-Driven Engineering", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1708536461, "tags": [ "Aerospace", "AI", "Automotive" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "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": null, "url": "https://www.ycombinator.com/companies/navier-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/navier-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/navier-ai/about/", "x_url": "https://x.com/NavierAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/013b05510174120a0b1551eb38a764500bbd5525.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": 1393398, "full_name": "Cameron Flannery", "title": "Founder", "founder_bio": "Cameron is an Aerospace Engineer and the cofounder of Navier AI. Cameron has built rocket engines, satellites, hydrofoiling containerships, and autonomous trucks in his career at some of the top engineering companies in the world. \n\nFormerly at SpaceX, Tesla, Aurora Innovation, Astranis, and Boundary Layer Technologies.", "is_active": true, "linkedin_url": "https://linkedin.com/in/cameronflannery", "x_url": "https://twitter.com/cmflanne", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/985b89b1aca704cafbe63c9597fbc148a50491f9.jpg" }, { "user_id": 1438060, "full_name": "Evan Kay", "title": "Founder", "founder_bio": "Evan is an Aerospace Engineer and the co-founder of Navier AI. Evan formerly worked at SpaceX and General Atomics, where he was designing and metal 3D printing rocket engine and aircraft components. Prior to Navier AI, Evan was also a hard tech investor at Anzu Partners, where he invested in early-stage industrial technologies.", "is_active": true, "linkedin_url": "https://linkedin.com/in/evankay1", "x_url": "https://twitter.com/Evan_Kay", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3ab60b72932efe798ad5b4dbffb6f0b8db7f4d6e.jpg" } ], "jobs": [], "news": [ { "title": "AI engineering startup Navier raises $5.6M seed for hardware design", "url": "https://www.axios.com/pro/enterprise-software-deals/2025/12/15/navier-ai-engineering-hardware-design", "date": "Dec 15, 2025" }, { "title": "Rescale and Navier AI Partner to Accelerate Computational Engineering with AI Physics - Rescale", "url": "https://rescale.com/blog/rescale-and-navier-ai-partner-to-accelerate-computational-engineering-with-ai-physics/", "date": "Mar 13, 2024" } ], "launches": [] }, { "id": 29185, "name": "Relari", "slug": "relari", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d8724ca6da40d81a8aadbd3cf9cf5fbaa58ac997.png", "website": "https://www.relari.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Relari is a robotics research company developing new ways for robots to learn dexterous manipulation from humans. We combine video with rich, scalable biomechanical data—including electromyography (EMG), motion, force, and touch—to train robotics foundation models for more capable, human-like manipulation.", "one_liner": "Building dexterous robots that learn from human biomechanics", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1709879960, "tags": [ "Robotics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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/relari", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/relari.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/relari", "x_url": "https://x.com/relariai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/relari-ai/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d8724ca6da40d81a8aadbd3cf9cf5fbaa58ac997.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/23fd0aa60eb175a501ea1228afb056d31d6dc5bf.png" ], "primary_partner": null, "founders": [ { "user_id": 983988, "full_name": "Yi Zhang", "title": "Founder", "founder_bio": "Co-Founder & CEO of Relari. Previously building autonomous cars & trucks at Pony.ai and warehouse robots at Dexterity.ai. Harvard MBA.", "is_active": true, "linkedin_url": "https://linkedin.com/in/yizhang0123", "x_url": "https://twitter.com/Yiszzzz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d055e5f1485a40abcce6e3419a1108537fecd4a4.jpg" }, { "user_id": 1884040, "full_name": "Pasquale Antonante", "title": "Founder", "founder_bio": "Co-Founder & CTO of Relari. I have a PhD from MIT focusing on the reliability of complex AI systems such as autonomous cars. Previously at NVIDIA and Raytheon Technologies (previously United Technologies).", "is_active": true, "linkedin_url": "https://linkedin.com/in/pasquale-antonante-5306524a", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/45803c3461bd6b70f33bfa7b9c35a577b4825f7d.jpg" } ], "jobs": [ { "id": 106785, "title": "Research Engineer, Robot Learning", "url": "https://www.ycombinator.com/companies/relari/jobs/vZgIE15-research-engineer-robot-learning", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$125K - $175K", "equity_range": "0.25% - 2.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 106811, "title": "Research Engineer, Human Biomechanics", "url": "https://www.ycombinator.com/companies/relari/jobs/xoRkCNW-research-engineer-human-biomechanics", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Science", "role_type": "Research", "salary_range": "$125K - $175K", "equity_range": "0.25% - 2.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 106812, "title": "Hardware Engineer", "url": "https://www.ycombinator.com/companies/relari/jobs/CLokIVv-hardware-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$125K - $175K", "equity_range": "0.25% - 2.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 106813, "title": "Software Engineering Intern", "url": "https://www.ycombinator.com/companies/relari/jobs/WfW1xjj-software-engineering-intern", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$40 - $60 / hourly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 106814, "title": "Data Operations Lead", "url": "https://www.ycombinator.com/companies/relari/jobs/pjJ1WLP-data-operations-lead", "location": "San Francisco, CA, US / Remote", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 91726, "title": "Nuvi – The AI Agent Builder for Software 3.0", "tagline": "Write specs in natural language. Get working agents. It’s that simple.", "body": "![uploaded image](/media/?type=post&id=91726&key=user_uploads/983988/7e12281e-7f3b-4f82-b803-dd815931d5c8)\n\n### **TL;DR**\n\nEveryone wants to build AI agents. But doing it right is still way too hard.\n\nYou can build a website with natural language in tools like Lovable. But if you want to build AI agents, you're stuck dragging blocks or writing code.\n\n[**Nuvi**](https://www.nuvi.dev) is the AI agent builder for Software 3.0: Write specs in plain English. Get testable, verifiable behavior — out of the box.\n\n---\n\n## **❌ The Problem**\n\nBuilding AI agents still means building behavior manually — whether you’re writing code, dragging blocks, or tweaking prompts.\n\n* **Tools like n8n** let you create agents without code, but you’re still wiring up logic step by step.\n* **Tools like Cursor** help you code faster, but you still need to know what code to write.\n\nAt the same time, **tools like Lovable have shown what’s possible with natural language** — you can build and launch a polished UI in minutes.\n\nKarpathy called it years ago: _“English is the hottest new programming language.”_ But while we’ve embraced it for websites and weekend projects, there’s still no reliable Lovable for building AI agents.\n\n**Intelligent software still lacks a way to go from natural language to tested, trusted behavior.**\n\nWe need a system where intent becomes implementation — with structure, simulation, and shared understanding built in.\n\n---\n\n## **🎯 The Solution: Nuvi**\n\nNuvi lets anyone define, build, and deploy intelligent agents using natural language — with the **structure and guarantees** of real software development.\n\nWhat makes us different:\n\n🧠 **All in Natural Language**\n\nIf you can explain what you want, Nuvi helps you build it. No coding, no frameworks, no LLM know-how required.\n\n![uploaded image](/media/?type=post&id=91726&key=user_uploads/983988/e8536123-efac-4c99-8924-a3798a077a15)\n\n**🤝 Built for Collaboration**\n\nSpecifications are readable, editable, and versioned — so people across different teams stay aligned.\n\n![uploaded image](/media/?type=post&id=91726&key=user_uploads/983988/2b0f6f88-9d1d-473b-8e76-6e8c3ad190eb)\n\n🧪 **Fully Tested by Default**\n\nUser stories become behavioral tests. You can simulate how your agent behaves _before_ launch — and continuously validate after. Using only language.\n\n![uploaded image](/media/?type=post&id=91726&key=user_uploads/983988/d18df70f-0181-4ec0-83f0-208bab3379aa)\n\n⚙️ **One-Click Deployment**\n\nClick to deploy. Built-in access control and integrations mean you go from idea to agent in minutes.\n\n![uploaded image](/media/?type=post&id=91726&key=user_uploads/983988/7c089cfe-87e5-44c6-9472-e81963a1431f)\n\n---\n\n## **✅ Nuvi Agents at Work**\n\nAgents built with Nuvi are already transforming how real work gets done — here are a few examples:\n\n* A legal SaaS company built a custom BDR agent that scans hundreds of court filings daily, flags high-complexity cases, and drafts tailored outreach directly in HubSpot.\n* A mortgage brokerage built a fulfillment agent that processes messy loan documents, checks them against underwriting rules, and saves hours of manual review on every application.\n* An international nonprofit built an AI coach that interviews underserved small business owners, generates detailed financial forecasts, and dramatically scales personalized support.\n\n---\n\n## **💡Our Secret sauce: Specification-as-Source**\n\nIn his recent AI Startup School keynote, Andrej Karpathy revamped the idea of **Software 3.0** — where we write software using English instead of code.\n\nBut English alone isn’t a programming language. If it were, we wouldn’t have invented C or Python. For English to work as code, it needs structure (but we can now relax how much structure we need). That’s what Nuvi provides.\n\n**🧠 1. AI Specification Assistant**\n\nDescribe the agent in plain English. Nuvi helps you clarify goals, cover edge cases, and remove ambiguity — like a linter for intent.\n\n**🧾 2. Specification-as-Source**\n\nThe spec _is_ the agent’s source code. It’s structured, complete, and readable by both humans and machines.\n\n**⚙️ 3. One-Click Agent Compilation**\n\nWe compile your spec into a live agent. Just like devs once implemented PRDs — but this time, the AI does it.\n\n**🧪 4. Simulation & Continuous Testing**\n\nUser stories become test cases. You can simulate the agent’s behavior before launch — and verify it keeps working after.\n\nNuvi is the behavioral compiler for Software 3.0. Not another prompt wrapper. Not another no-code toy. Real behavior. From real specs. Written in plain English.\n\n---\n\n## **🙌 Our Ask**\n\n* Try Nuvi and build your first agent — all in plain English.\n* Want to join the mission, collaborate, or write about us? Reach out at [nuvi.dev](https://www.nuvi.dev/)", "url": "https://www.ycombinator.com/launches/NrS-nuvi-the-ai-agent-builder-for-software-3-0", "votes": 17, "created_at": "2025-06-30T16:10:38.865Z" }, { "id": 79322, "title": "Relari - Testing and simulation stack for GenAI systems", "tagline": "Relari helps AI teams simulate, test, and validate complex GenAI applications throughout the development lifecycle.", "body": "# **TL;DR**\n\n[Relari](https://www.relari.ai/) is an open-source platform to simulate, test, and validate complex Generative AI (GenAI) applications. With 30+ open-source metrics, synthetic test-set generators, and online monitoring tools, we help AI app developers achieve a high degree of reliability in mission-critical use cases such as compliance copilot, enterprise search, financial assistance, etc.\n\n# **⭐ Meet the Relari Team**\n\nHi everyone, [Yi](https://www.linkedin.com/in/yizhang0123/) and [Pasquale](https://www.linkedin.com/in/pasquale-antonante-5306524a/) from [Relari](https://www.relari.ai/) here. We both spent years building safety-critical AI applications, particularly in autonomous driving and robotics. Pasquale has a PhD from MIT where he researched fault detection in complex AI systems. Yi has an MBA from Harvard and led multiple AI products from concept to production including robo-taxis, self-driving trucks, and warehouse robots.\n\n![uploaded image](/media/?type=post&id=79322&key=user_uploads/983988/a8982b08-9cda-4741-bc17-eb3df31679e1)\n\n# **💡 Our Inspiration: Autonomous Vehicles**\n\nJust like autonomous vehicles promise to change how we move, GenAI applications promise to revolutionize the way we work. However, ensuring these systems are safe and reliable requires a shift in the development process. Autonomous vehicles need to drive billions of miles to ensure that they are safer than human drivers. This would take decades, so the industry relies on simulation and synthetic data to efficiently test and validate each iteration of the self-driving software stack.\n\nWe see a strong parallel in the world of GenAI. At [Relari.ai](https://www.relari.ai/), we are building towards a future where a similar infrastructure will enable complex and powerful applications based on large language models (LLMs).\n\n# **🔴 Problem: GenAI Apps are Unreliable**\n\nLLM-based applications can be inconsistent and unreliable. This blocks GenAI’s adoption in mission-critical workflows and hurts user confidence and retention once deployed to production. Good testing infrastructure is paramount to achieving the quality users demand, but GenAI app developers across startups and enterprises struggle to define the right set of tests and quality-control standards for deployment.\n\nThe main challenges the AI teams face are:\n\n* **Complex Pipelines:** GenAI pipelines are getting increasingly more complex and it is often difficult to pinpoint where problems originate.\n* **Gap from Evaluation to Reality:** There is a huge gap between the metrics used in offline evaluation and user feedback, leading to distrust in offline evaluation results.\n* **Lack of Relevant Datasets:** Public datasets are overfitted by models and often not relevant to specific applications. However, manual curation of custom datasets is extremely time-consuming and costly.\n\n# **🚀 Solution: Harden AI Systems with Simulation**\n\nRelari offers a complete testing and simulation stack for GenAI pipelines designed to directly address the problems above. Relari allows you to:\n\n* **Pinpoint problem root causes with modular evaluation:** Define your pipeline and flexibly orchestrate modular tests to quickly analyze performance issues. Our open source framework offers 30+ metrics covering text generation, code generation, retrieval, agents, and classification with more coming soon.\n\n ![uploaded image](/media/?type=post&id=79322&key=user_uploads/983988/04a313af-1bb9-4469-a9d3-4f89c5132aa5)\n\n* **Simulate user behavior with close-to-human evaluators:** Leverage user feedback to train custom evaluators that are 90%+ aligned with human evaluators (backed by our research). Introduce a feedback loop connecting your production system and the development process.\n\n ![uploaded image](/media/?type=post&id=79322&key=user_uploads/983988/908218e2-4462-43d5-a23d-7c005c927a29)\n\n* **Accelerate development with synthetic data:** Generate large-scale synthetic datasets tailored to your use case and stress test your AI pipeline. Ensure coverage of all the corner cases before shipping to users.\n\n ![uploaded image](/media/?type=post&id=79322&key=user_uploads/983988/d78bb49e-ec9d-4519-909b-b46532751380)\n\n\n# **❤️ Our Ask**\n\n* ⭐ Star us on Github ([link](https://github.com/relari-ai/continuous-eval))\n* 📅 Book a demo with us ([link](https://cal.com/pasquale/relari-demo))\n* 👉 Introduce us to AI / ML / Data Science teams building mission-critical GenAI applications ([founders@relari.ai)](mailto:founders@relari.ai)", "url": "https://www.ycombinator.com/launches/KdO-relari-testing-and-simulation-stack-for-genai-systems", "votes": 75, "created_at": "2024-03-12T17:42:49.322Z" } ] }, { "id": 29241, "name": "Tekton Dynamics", "slug": "tekton-dynamics", "former_names": [ "MAIHEM", "Maihem" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c88f8c82a6ce22ef99621a0f594acb23ef6aa48f.png", "website": "https://www.tekton-dynamics.com", "all_locations": "London, England, United Kingdom", "long_description": "Our mission is to empower every manufacturer, no matter their scale, to invent and build anything using intelligent robots.\r\n\r\nToday’s industrial robots are fast but \"blind\". 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": 29273, "name": "Pivot Robotics", "slug": "pivot-robotics", "former_names": [ "Pivot AI", "Pivot Robots" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee0d44cf8688258862f3d2457491a3a79d07f53c.png", "website": "https://pivotrobotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "Pivot Robotics makes AI software for robotic arms that helps manufacturers automate their most labor intensive tasks. We are starting out with the dangerous task of metal grinding and are currently deploying our software on 10+ robots in a cast-iron foundry. ", "one_liner": "AI for Robot Arms in Factories", "team_size": 8, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1709584102, "tags": [ "Robotics", "AI", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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/pivot-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/pivot-robotics.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pivot-robots/", "x_url": "https://twitter.com/pivotrobots", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee0d44cf8688258862f3d2457491a3a79d07f53c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 1333819, "full_name": "Siddharth Girdhar", "title": "Founder/CEO", "founder_bio": "AI, Robots, Soccer.", "is_active": true, "linkedin_url": "https://linkedin.com/in/siddharthgir", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dd54777195d0ae4314e22e6d32d4a65a6dc013f1.jpg" }, { "user_id": 509746, "full_name": "Vignesh Rajmohan", "title": "Founder/CTO", "founder_bio": "Co-Founder of Pivot Robotics", "is_active": true, "linkedin_url": "https://linkedin.com/in/vignesh-rajmohan", "x_url": "https://twitter.com/vrajmo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d7e3e1feba2670721b48a43c0bac55297d9433ef.jpg" } ], "jobs": [ { "id": 73893, "title": "Robotics Software Engineer", "url": "https://www.ycombinator.com/companies/pivot-robotics/jobs/0sRNlmU-robotics-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$120K - $160K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python", "Machine Learning", "Computer Vision" ] }, { "id": 88453, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/pivot-robotics/jobs/IDlqU83-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$120K - $160K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python", "Machine Learning", "Computer Vision" ] } ], "news": [ { "title": "YC-backed AI startup Pivot Robots raises funding from NuVentures", "url": "https://www.business-standard.com/companies/start-ups/yc-backed-ai-startup-pivot-robots-raises-funding-from-nuventures-124070100581_1.html", "date": "Jul 01, 2024" } ], "launches": [ { "id": 79034, "title": "Pivot Robotics - Automating high-mix manufacturing with AI", "tagline": "Pivot Robotics builds software to tackle the next frontier of manufacturing automation.", "body": "**TL;DR** We’re building this -\n\n![uploaded image](/media/?type=post&id=79034&key=user_uploads/509746/b2c4bca3-62a5-4591-9743-29683d930076)\n\nAnd we are Ex-Google and Meta robotics engineers that are using foundation vision models to solve the riddle of high-mix to redefine American manufacturing.\n\n—\n\n### **🚨 The Problem:**\n\nU.S. manufacturing is making a comeback for the first time since the 1970s, but there is a problem: **Nobody is filling these jobs**. Decades of decline and entire generations shying away from manufacturing jobs have left the industry facing an expected 2.4 million jobs going unfulfilled by 2030. \n\nThe obvious solution is to use robots, but **75% of all U.S. manufacturers are effectively unable to use traditional robotic automation** due to their high-mix production: they produce a wide array of products in small quantities. Traditional automation is rigid and needs new fixturing and re-programming for each part, and doesn’t provide ROI for high-mix manufacturers since so little of each part is produced. \n\nIf America is unable to capitalize on the current manufacturing and AI boom, we lose out on **$1 trillion per year in opportunity cost** and the chance to strengthen our weakened industrial base. High-mix manufacturers are a crucial component for this and they urgently need adaptable automation solutions that can cheaply handle their large variety of parts. \n\n### **🦾 Our Solution:**\n\nPivot Robotics combines off-the-shelf robots and vision sensors with our pioneering AI vision control software to give industrial robots the ability to adapt. Our first product, Proteus, addresses the dangerous and unpopular task of grinding metal parts, offering zero-shot adaptation to new parts with the same precision, and efficiency. **We do this by leveraging the latest advances in foundational vision models**, allowing us to avoid the large data requirements that prior attempts of adding vision to industrial robots faced. We are currently engaged in a **pilot to deploy 10+ Proteus systems** at a large cast iron foundry that produces over 200 different parts a year.\n\n### **🤝 Who We Are:**\n\n![uploaded image](/media/?type=post&id=79034&key=user_uploads/509746/dca22c09-4fc2-4c3c-aa64-5482d6880583)\n\nWe both met on the first day of college at Carnegie Mellon University, living 2 doors across from each other. \n\n[Siddharth](https://bookface.ycombinator.com/user/1333819/linkedin_redirect?key=74798b374abfa1117de67acaa6e2c7591293097d) has worked on self-driving cars at Uber ATG, AI at Meta, and most recently was designing multi-agent algorithms for warehouse robots at Nimble Robotics.\n\n[Vignesh](https://bookface.ycombinator.com/user/509746/linkedin_redirect?key=102ec6e610057e9a5088e60101031188a7145ab9) optimized motion planning for general-purpose robots at Google X, researched LLM applications for robotics in the Atkeson Lab, and worked on manipulation at ABB.\n\nBoth of us are inspired to use our robotics experience to solve real-world labor problems after watching our respective parents’ careers in these industries (agriculture and manufacturing).\n\n### 🔮**The Future:**\n\nExpanding our vision technology to develop hand-eye coordination for robot arms, enabling the automation of tasks beyond grinding, like materials handling and assembly for high-mix manufacturers.\n\n### **🙏Our Ask:**\n\nWe’re looking for introductions to manufacturing partners eager to embrace AI-driven automation and investors who share our vision for the future of manufacturing.\n\n### **✉️ Contact Us:**\n\nReach out at [founders@pivotrobotics.com](mailto:founders@pivotrobots.com) and follow us on [Twitter](https://twitter.com/pivotrobots)/[Linkedin](https://www.linkedin.com/company/pivot-robots/) for updates and cool demos.", "url": "https://www.ycombinator.com/launches/KYk-pivot-robotics-automating-high-mix-manufacturing-with-ai", "votes": 136, "created_at": "2024-03-04T20:30:42.743Z" } ] }, { "id": 29277, "name": "Basalt", "slug": "basalt", "former_names": [ "Basalt Tech" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bdc6db574181bc5f564f9fcdee3e3a8f66a68b75.png", "website": "https://basalt.space/", "all_locations": "San Francisco, CA, USA", "long_description": "Basalt is building Constellations as a Service, self-flying satellite constellations tailored for private enterprise and the government without any prior aerospace experience needed! Powered by our Diamond AI, Basalt provides a seamless experience, enabling users to fly and stream data and images from their own dedicated satellite constellation onto their phones and laptops. \r\n\r\nBasalt received its seed investment as part of the Y Combinator W24 batch, and has since launched Spirit-EEL, the world's first AI-controlled satellite constellation.", "one_liner": "Constellations as a Service", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1706583323, "tags": [ "Satellites", "Aerospace", "Automation", "Defense", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/basalt", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/basalt.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/basaltspace", "x_url": "https://x.com/basaltspace", "fb_url": "https://www.instagram.com/basaltspace/", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bdc6db574181bc5f564f9fcdee3e3a8f66a68b75.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/9482e25ecc0eac97d7c8dc02f03c47fe3739d9d0.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 1408579, "full_name": "Maximillian Bhatti", "title": "Founder/CEO", "founder_bio": "CEO & Co-Founder of Basalt // I was working at Caltech’s fusion lab when I was hired out of high school to work at MIT AeroAstro on their CubeSat mission.\n\nSince then, I’ve spent stints at The Aerospace Corporation and SpaceX working on distributed space systems and the American moon landing. Most recently, I dropped out to build Basalt. My hobbies include hiking and buying infinite whiteboards.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maximillian-bhatti/", "x_url": "https://x.com/basaltceo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fa5c88bf380ea1ee2c488803a898e62d87b310be.jpg" } ], "jobs": [], "news": [ { "title": "Basalt Space and Bay Area Rivals Aim to End Starlink's Constellation Monopoly", "url": "https://spacedaily.com/sd-n-basalt-space-and-bay-area-rivals-aim-to-end-starlinks-constellation-monopoly/", "date": "May 05, 2026" }, { "title": "Welcome to the Great American Satellite Age | WIRED", "url": "https://www.wired.com/story/welcome-to-the-great-american-satellite-age/", "date": "May 04, 2026" } ], "launches": [ { "id": 79293, "title": "Basalt Tech - Windows for Spacecraft", "tagline": "Building the world’s first satellite operating system.", "body": "\n\n# **Windows for Spacecraft: Basalt Dispatch**\n\n![uploaded image](/media/?type=post&id=79293&key=user_uploads/1408579/b881339f-9903-4801-ada1-3aad37a29dd9)\n\n_Fig 1. - Dispatch simulation engine based on open source NASA code. The graphics have room for improvement!_\n\n**Dispatch** is the first satellite OS. It provides a common software infrastructure to allows fleets of dissimilar satellites to work together:\n\n* **Tasking**: Image geographic areas in visible, infrared, or radar.\n* **Radio and Telecom:** Manage in-orbit networks and signals intelligence collection.\n* **Orbital Security**: Monitor and inspect other space assets.\n\nNew or external software modules can also easily be integrated, rather than being rewritten for each individual satellite. \n\nThere are over 65,000 satellites licensed to be launched by 2030. That’s over $100B of assets whose value comes from the bytes of data they send down. Right now, that data pipeline includes email, whiteboards, and Excel.\n\n**Dispatch is here to change that, and bring autonomy into orbit, for every mission.**\n\n### **Background**\n\nFlight operations still rely on manual processes and highly custom software. While this is acceptable for single, high-value missions, the need to manage large, flexible satellite fleets challenges that status quo.\n\n![uploaded image](/media/?type=post&id=79293&key=user_uploads/1408579/d4de8161-592c-4be8-93fa-852119b3f0da)\n\n_Fig 2 - ESA Visualization of active and defunct satellites around Earth._\n\nThis type of modular software infrastructure has been implemented in-house before, usually on specific hardware. (Think individual custom OS’s before Windows.)\n\nRight now, there is no solution for space companies or government agencies other than to take on massive in-house development, or scale up their operations staff. This is the story we’ve heard over and over talking to flight directors and CEOs.\n\n**The innovation Dispatch brings is its universality - Dispatch allows this functionality to be brought to any space asset out-of-the-box.**\n\n### **Recent Progress**\n\n![uploaded image](/media/?type=post&id=79293&key=user_uploads/1408579/3e274d18-5163-4a31-aaff-cd4862d8b753)\n\n_Fig 3 - Alex and Max at the National University of Singapore. We are beginning an effort to revive one of their satellites with our software._\n\nOne month ago we wrote our first line of code. Today, after 2 weeks of travel, we have kicked off collaborations with some of the leading space systems institutions around the globe.\n\n* **Massachusetts Institute of Technology (MIT), United States**\n * Industry presence in MIT AeroAstro’s Space Systems class, which trains the next generation of space engineers.\n * Integration of MIT flight operations applications into OS.\n * Ongoing collaboration with STAR Lab missions.\n* **University of Toronto, Canada**\n * Project to revive HERON MkII on-orbit.\n * Collaboration on software stacks for HERON and FINCH missions.\n* **National University of Singapore, Singapore**\n * Project to revive Galassia-2 on-orbit.\n * Operations and teaching software for STAR Centre missions and classes.\n* **Aarhus University, Denmark**\n * Project to revive DISCO-1 on-orbit.\n * Collaboration on operations software integrations for DISCO-2 and 3 missions.\n\nWe have a line of university space programs around the world waiting to talk to us, but had to pause for fundraising in San Francisco.\n\n**Just a handful of academic space programs function as the source of almost all engineering talent in the space industry.** These collaborations are invaluable for our journey towards product-market fit, and provide a platform to gain flight heritage for Basalt.\n\n### **About Us**\n\nIn 2020, [Alex](https://www.linkedin.com/in/alex-choi/) hired a 17-year old [Max](https://linkedin.com/in/maximillian-bhatti-1a9806266) to fix broken satellite radios in the back shed of a Los Angeles dentistry.\n\nOver the next few months, the duo would assemble a crack team of engineers in LA and Cambridge to bring MIT’s CubeSat program back to life. Six months later, the completed satellite was being integrated into the rocket for launch.\n\nWe have been close friends ever since, and have worked in research, commercial, and government space.\n\n### **Asks**\n\nCheck out our [website](https://basalt.space/)!\n\nInterested in how we can help streamline your mission? Set up a [meeting](https://basalt.space/contact).\n\nIf you’re in the govt. or commercial space industry, tell us what you’d like to see!\n\n* Reach out to: [founders@basalt.space](mailto:founders@basalt.space)\n* Phone number: (415) 385-7136", "url": "https://www.ycombinator.com/launches/Kcv-basalt-tech-windows-for-spacecraft", "votes": 15, "created_at": "2024-03-12T13:30:27.452Z" } ] }, { "id": 29369, "name": "Astro Mechanica", "slug": "astro-mechanica", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3061d37bd8ef4d9230c3ef353d4f4f69f9f17efd.png", "website": "https://astromecha.co/", "all_locations": "San Francisco, CA, USA", "long_description": "Astro Mechanica is reinventing supersonic aircraft by innovating on engine, airframe, and systems that industry hasn’t in over 50 years. Our electric combined cycle engine, Duality, is the world’s first jet engine that's engineered for efficiency from takeoff to Mach 3+. This new propulsion technology enables the delivery of people and payloads anywhere on Earth in just hours, laying the foundation for a new operational paradigm: an affordable point-to-point global travel network that will make on-demand, high-speed air transport the new standard of travel.", "one_liner": "Supersonics for the new Jet Age", "team_size": 52, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1711740097, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "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/astro-mechanica", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/astro-mechanica.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/astro-mechanica/", "x_url": "https://twitter.com/AstroMechanica", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3061d37bd8ef4d9230c3ef353d4f4f69f9f17efd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/97500ffe8fdf31fe0edc97c061dddf1a7215e197.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 204090, "full_name": "Ian Brooke", "title": "Founder/CEO", "founder_bio": "Velocity enthusiast.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ian-brooke-b7496325", "x_url": "https://twitter.com/k2pilot", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5fc7f5262a481c02b46fe6a8dc7f8917aa463c09.jpg" } ], "jobs": [ { "id": 74440, "title": "Open Resume Submission", "url": "https://www.ycombinator.com/companies/astro-mechanica/jobs/CnuC8nx-open-resume-submission", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "", "visa": "US citizen/visa only", "skills": [] }, { "id": 74443, "title": "Senior Mechanical Engineer", "url": "https://www.ycombinator.com/companies/astro-mechanica/jobs/fQXHgbU-senior-mechanical-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Exclusive: Astro Mechanica Raises $27.1M for Supersonic Flight - Tectonic Defense", "url": "https://www.tectonicdefense.com/exclusive-astro-mechanica-raises-27-1m-for-supersonic-flight/?oly_enc_id=9796G7341467H2T", "date": "Apr 17, 2025" }, { "title": "Ian Brooke wants to revolutionize flight as we know it", "url": "https://www.freethink.com/hard-tech/jet-engine", "date": "Sep 27, 2024" }, { "title": "Ian Brooke wants to revolutionize flight as we know it", "url": "https://www.freethink.com/hard-tech/jet-engine", "date": "Sep 27, 2024" }, { "title": "Astro Mechanica - Not Boring by Packy McCormick", "url": "https://www.notboring.co/p/astro-mechanica", "date": "Apr 01, 2024" } ], "launches": [ { "id": 79893, "title": "Astro Mechanica: New jet engines for the new Jet Age", "tagline": "Accelerating access toward space and across the planet, enabled by the world’s first electric adaptive jet engine.", "body": "**Astro Mechanica: New jet engines for the new Jet Age**\n\nAccelerating access toward space and across the planet, enabled by the world’s first electric adaptive jet engine.\n\n**TL;DR** \n\nAstro Mechanica has invented a new kind of jet engine – the Electric Adaptive Engine. Unlike any existing engine, it's efficient at every speed. Because it's efficient at every speed, it can be used in new and different ways. It can launch payloads to orbit 3x cheaper than an all rocket system, or enable a passenger aircraft 3x faster than an airliner.\n\n**Jet Aircraft Stopped Improving in the 1970s**\n\nJet aircraft have powered much of the global economy through trade and commerce since the advent of the Jet Age, yet the technology has not changed foundationally in over 40 years. \n\nModern commercial jets are still using (more or less) the same airframes that were originally designed in the 1970s. The first Boeing 737 flew in April 1967 and the first Airbus A300 flew in October 1972. \n\nJet engines – which are limited by a trade-off between speed and efficiency – have similarly only seen incremental improvements. Newer jet engine designs (like the turbofan) are more fuel-efficient, _but slower_ than older ones (like the turbojet).\n\n**The New Jet Age**\n\n![uploaded image](/media/?type=post&id=79893&key=user_uploads/204090/9797c1b0-0c0e-4889-bdfb-87ec2fea2a34)\n\n_Powered flight starts with the engine. To change flight, you must change the engine._ \n\n**Astro Mechanica has invented a new type of jet engine that is efficient at every speed. We call it the Electric Adaptive Engine and it is not only more fuel efficient than modern jet engines, but 3x faster.** We’ve achieved this by using electric motors to drive the compressor, allowing it to spin at variable speeds and \"adapt\" to its airspeed and combustion cycle. \n\nWe built our proof-of-concept engine in just two months — something that would take the typical aerospace company a year to build. We’re now finishing up our first flight engine in just three months using $500k of off-the-shelf hardware. The next step is to build an airframe over the next 6-8 months to use that engine. We’ll then put it all together and demonstrate supersonic flight in 2025.\n\n**Here’s some photos from that first flight engine build**\n\n![uploaded image](/media/?type=post&id=79893&key=user_uploads/204090/a4f4b133-ce06-4e92-ab14-8de091f0dbf8)\n\n![uploaded image](/media/?type=post&id=79893&key=user_uploads/204090/9f0a9532-00a7-463f-acc4-d16f920ecdfe)\n\n![uploaded image](/media/?type=post&id=79893&key=user_uploads/204090/2f542446-5a56-444f-a600-0ab2c87cc82d)\n\n![uploaded image](/media/?type=post&id=79893&key=user_uploads/204090/ab220bf7-1c8d-45f7-853c-68c153b79233)\n\n![uploaded image](/media/?type=post&id=79893&key=user_uploads/204090/ef311d87-b168-466c-8b45-fd5181671fc5)\n\n**Astro Mechanica’s Master Plan**\n\n![uploaded image](/media/?type=post&id=79893&key=user_uploads/204090/a590551c-a496-47fe-bc9b-e4570cce4cf7)\n\n**Phase 1:** De-risk technology for passenger aircraft certification through applications like space launch\n\n**Phase 2:** Establish manufacturing and operational capacity to offer private flights\n\n**Phase 3:** Scale operational capacity and make supersonic flight affordable\n\n**_Why Are We Starting with Launch?_** Because it is cheaper, easier, and a regulatory hack to supersonic passenger travel. \n\n* Less stringent FAA regulations\n* Fastest and highest return on technical investments\n* Quickest iteration loop with off-the-shelf hardware\n* “Tactical Response” capability\n* “Multi-role” aircraft with commercial and military applications\n\n**_What Are the Benefits of Launching at Speed?_** An increase in payload capacity at a lower cost. We can deliver 3.5x more payload capacity by air-launching a rocket at 800 m/s – that also makes it 3.5x cheaper than launching from the ground.\n\n![uploaded image](/media/?type=post&id=79893&key=user_uploads/204090/3a7a2951-ab7f-4e72-8ef6-ee9211db02e6)\n\n**Contact Us**\n\nReach out to [info@astromecha.co](mailto:info@astromecha.co) for more information. Follow us on [LinkedIn](https://www.linkedin.com/company/astro-mechanica) and [Twitter](https://twitter.com/AstroMechanica) for news, updates, and demos.\n\n**Our Asks**\n\n* **Spread the word:** We’re looking to connect with satellite operators interested in a better way to space and investors who share our passion in redefining the future of aerospace.\n* **Help grow our team:** We’re hiring, please reach out if you or someone you know is interested in working with us.\n* **Learn more:** Follow along with us on [LinkedIn](https://www.linkedin.com/company/astro-mechanica) and [Twitter](https://twitter.com/AstroMechanica), and check out this profile of us by [Not Boring](https://www.notboring.co/p/b494460f-9b5a-4cf8-8259-137aa9cd5080)!", "url": "https://www.ycombinator.com/launches/Kmb-astro-mechanica-new-jet-engines-for-the-new-jet-age", "votes": 37, "created_at": "2024-04-02T20:58:34.629Z" } ] }, { "id": 29381, "name": "Elodin", "slug": "elodin", "former_names": [ "Elodin Systems", "Inc", "Elodin", "Elodin Systems" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c69ab06e9dcd05c2d8d6257e045ed1514a741f0.png", "website": "https://elodin.systems/", "all_locations": "San Francisco, CA, USA", "long_description": "Elodin creates flight software, simulations, and hardware for drones, satellites, and defense.", "one_liner": "Unified flight software and hardware for the mission of tomorrow", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1705381687, "tags": [ "Hard Tech", "Drones", "Satellites", "Rocketry", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/elodin", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/elodin.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/elodin-systems-inc", "x_url": "https://twitter.com/elodinsystems", "fb_url": null, "cb_url": null, "github_url": "https://github.com/elodin-sys", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c69ab06e9dcd05c2d8d6257e045ed1514a741f0.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": 1618281, "full_name": "Daniel Driscoll", "title": "Founder/CEO", "founder_bio": "A technology adventurer experienced in tanks (and armored warfare in general), video games (playing and making them), sales/marketing & CRM/LMS/digital content platforms, real estate investment platforms, SaaS API platforms generally, blockchain technology (both core technology and services), and aerospace technology (specifically rocketry, guidance and control systems) ", "is_active": true, "linkedin_url": "https://linkedin.com/in/x46085", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f5e11cc37e499635e13c99cb5fe1dd69fa4a5dad.jpg" }, { "user_id": 1618322, "full_name": "Tom Gurka", "title": "Founder", "founder_bio": "One-man design and marketing team. Designer and product leader with 10+ years of experience spanning software UI/UX, brand development, and marketing communications. Includes working across early-stage startups and high-growth companies, with deep experience in design systems, motion and interaction design, prototyping, creative direction, and cross-functional product development.", "is_active": true, "linkedin_url": "https://linkedin.com/in/tomgurka", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fbe4b59a8f66a50f20b19335a450fab146e74e12.jpg" }, { "user_id": 1772157, "full_name": "Akhil Velagapudi", "title": "Founder", "founder_bio": "Grew up in New Jersey, and studied electrical + computer engineering at Rutgers. I entered the startup world with M10, where I worked on distributed systems and developed a passion for systems engineering. After M10, I went to Google to work on kubernetes networking, focusing of programmable data planes. I tend to spend my free time either reading fantasy/sci-fi or working on my homelab (which keeps growing).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/akhil-velagapudi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/547d0a28b737b886cc131a86af1bfb6c3ec95b7d.jpg" }, { "user_id": 776143, "full_name": "Sascha Wise", "title": "Founder/CTO", "founder_bio": "Co-founder of Elodin Systems, developers of simulation tools for aerospace. I'm a software engineer by practice and a physicist by training. I've worked on a wide variety of projects throughout my career from a database for central banks to the flight software for a deep space mission. I'm passionate about building simple, elegant solutions to complex problems. In my spare time, I try and get outdoors as much as possible, which usually means climbing or skiing. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/sascha-wise", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7a2528ecb1ae1a47f0febbcf408e7cb081ae00ba.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 77547, "title": "Elodin - CI/CD for Aerospace ✈️ 🛰 🚀", "tagline": "We help aerospace engineers rapidly design, test, and simulate control systems", "body": "### **TL;DR**\n\n[Elodin](https://www.elodin.systems) helps aerospace engineers rapidly design, test, and simulate control systems. For example, an engineer could use our Python physics toolkit, which automatically optimizes physics computations for GPU computing, to test a new satellite control system in minutes instead of hours.\n\n---\n\nHello everyone! We’re [Dan](https://linkedin.com/in/x46085), [Sascha](https://linkedin.com/in/sascha-wise), [Andrei](https://linkedin.com/in/andrei-khvalko), [Tom](https://linkedin.com/in/tomgurka), and [Akhil](https://www.linkedin.com/in/akhil-velagapudi/) from [Elodin](https://bookface.ycombinator.com/company/29381). \n\nDrawing experience from roles at AstroForge, Google, Salesforce, Spatial, and several startups. We discovered that the rapid iteration in cloud software was missing in the field of aerospace, so we were compelled to make the development experience better.\n\n---\n\n### **Problem**\n\nIf you want to build an autonomous drone today, you've only got a few options when it comes to testing.\n\n* You can write your control system, flash it to your flight computer, launch the drone, and watch it crash over and over again. \n* You can agonize over setting up a complex simulation using MATLAB, Gazebo, or something homegrown.\n\nThose choices are time-consuming, complex, and costly.\n\nNow, imagine you are building a satellite or an eVTOL aircraft; you have no choice but to set up a complicated simulation.\n\n---\n\n### **Solution**\n\nHow does Elodin prevent this complexity?\\\n**We don’t; we just do it for you.**\n\n![uploaded image](/media/?type=post&id=77547&key=user_uploads/1618322/9f285018-486c-4602-adb3-43297bf75961)\n\nCongrats! You can now simulate your drone's control system easily, but that's not enough. What if a massive windstorm comes around? What if the neighborhood dog decides to take a bite out of one of the propellers? You need to test your control system for any situation you can imagine.\n\n**Enter** - [Monte Carlo Testing](https://aws.amazon.com/what-is/monte-carlo-simulation/#:\\~:text=The%20Monte%20Carlo%20simulation%20is,on%20a%20choice%20of%20action.)\n\nMonte Carlo testing is when you run a simulation multiple times with randomized initial conditions. For example, you could run your simulation with randomized wind speeds.\n\nElodin makes running Monte Carlo simulations seamless, through our cloud platform. We let you run 100,000s of simultaneous simulations right from the comfort of your laptop. \n\nOur dream is that you run a full Monte Carlo test of your control system every time you push code to GitHub. Historically, this would be very costly and difficult to achieve.\n\n---\n\n### **What Elodin is**\n\n🐍 **Python physics library** - A toolkit for building custom physics engines using the GPU, imagine Tensorflow, but for Physics\n\n🎲 **Monte Carlo Cloud Runner** - A cloud runner that enables you to run your simulation in a scalable Monte Carlo fashion\n\n🌎 **3D Viewer** -  A live-reloading 3d viewer to share, inspect, and analyze your simulations\n\n![uploaded image](/media/?type=post&id=77547&key=user_uploads/1618322/d2e5c348-a7f8-47c4-8522-1025a8d966dc)\n\n**Try out our Alpha!** We have an early alpha sandbox prototype that showcases the real-time editing experience of Elodin but does not include our customizable physics engine or Monte Carlo support.\n\n![uploaded image](/media/?type=post&id=77547&key=user_uploads/1618322/effd2707-d83b-4dc4-9c1f-deea7f65fb74)\n\n---\n\n### **Our Asks**\n\n**Reach Out:** If you work with drones, satellites, or anything else with a control system, [schedule a call with our CEO, Dan](https://calendly.com/dan-elodin/30min), to discover how Elodin can streamline your design and testing processes\n\n**Share Your Insights:** We value your perspective! If you have any feedback or suggestions, we'd love to hear from you. Your insights are crucial to shaping the future of Elodin.\n\n**Connect Us:** Even if Elodin is not the perfect fit for your needs, you may know someone who could benefit from our platform. If you have connections in aerospace or related industries, we'd greatly appreciate sharing our website/demo with them or even better a direct introduction to [founders@elodin.systems](mailto:founders@elodin.systems)", "url": "https://www.ycombinator.com/launches/KAl-elodin-ci-cd-for-aerospace", "votes": 24, "created_at": "2024-01-16T14:54:27.097Z" } ] }, { "id": 29402, "name": "Yondu", "slug": "yondu", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0b7969c1cf6999d5b5333e8a0fd7ca63e13f079f.png", "website": "https://yondu.ai/", "all_locations": "Los Angeles, CA, USA", "long_description": "Yondu is creating the robotic workforce of the future starting with logistics automation. We're deploying humanoid robots in the first flexible, drop-in picking automation solution designed for 3PLs.", "one_liner": "Robots to Automate Fulfillment", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1709280983, "tags": [ "Hard Tech", "Robotics", "Logistics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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/yondu", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/yondu.json", "year_founded": 2024, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/yonduai/", "x_url": "https://twitter.com/yonduai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0b7969c1cf6999d5b5333e8a0fd7ca63e13f079f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a96f5a9a53d9ee9d1ca8ef51cb6f294eab9b6ad6.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 782277, "full_name": "Michael Chen", "title": "Founder/CEO", "founder_bio": "Michael Chen is at a unique crossroads with a background in intelligent machines from MIT and research experience at the forefront of robotics and AI. He helped build an open source bipedal robot at MIT CSAIL. Michael is an avid entrepreneur who has always loved business (even owning a sauce brand). For fun, he builds all sorts of cool machines ranging from FPV drones to train track cleaning robots to gasoline powered snowboards. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/michael-chen-17464a1b1", "x_url": "https://twitter.com/chenouttaten", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/16760bb043b9bd6619773df1464be0a224e3f300.jpg" }, { "user_id": 1547615, "full_name": "Tahmid Jamal", "title": "Founder/CTO", "founder_bio": "Tahmid graduated from MIT with degrees in AI and AeroAstro. There he's worked on projects ranging from language model compression and quantization to astrodynamics simulations for a solar research proposal to NASA. He was doing his master's researching uncertainty estimation methods in deep learning before dropping out to participate in YC. In his free time, he enjoys movies, board games, and climbing the occasional tree.", "is_active": true, "linkedin_url": "https://linkedin.com/in/74hm1d", "x_url": "https://twitter.com/74hm1d", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dc90be30b2779e01b76edb62c535d5bb13944890.jpg" } ], "jobs": [ { "id": 71111, "title": "Active Interest for Engineers", "url": "https://www.ycombinator.com/companies/yondu/jobs/DEor4se-active-interest-for-engineers", "location": "Gardena, CA, US / Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$120K - $200K", "equity_range": "0.50% - 1.60%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Bash/Shell", "C++", "Torch/PyTorch", "Linux", "Deep Learning", "Reinforcement learning (RL)", "Docker", "Computer Vision", "Microcontrollers", "CAD Design", "PCB design", "Sensor integration" ] }, { "id": 74730, "title": "Robotics Researcher", "url": "https://www.ycombinator.com/companies/yondu/jobs/QAKnidR-robotics-researcher", "location": "Gardena, CA, US / Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$120K - $200K", "equity_range": "0.50% - 1.60%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 87004, "title": "Senior Robotics Engineer", "url": "https://www.ycombinator.com/companies/yondu/jobs/l6z04IP-senior-robotics-engineer", "location": "Gardena, CA, US / Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$120K - $200K", "equity_range": "0.50% - 1.60%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Bash/Shell", "C++", "Python", "Linux", "Docker", "Sensor integration" ] }, { "id": 107166, "title": "Robot SWE", "url": "https://www.ycombinator.com/companies/yondu/jobs/fOsMYvM-robot-swe", "location": "Gardena, CA, US / Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$100K - $200K", "equity_range": "0.20% - 1.20%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Bash/Shell", "C++", "Python", "Linux", "Docker" ] }, { "id": 113732, "title": "Robotics Hardware Engineer ", "url": "https://www.ycombinator.com/companies/yondu/jobs/Y0Ek2e8-robotics-hardware-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$100K - $200K", "equity_range": "0.10% - 1.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 114065, "title": "Physical AI Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/yondu/jobs/dLJNfs8-physical-ai-infrastructure-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$100K - $200K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "C++", "Python", "Linux", "Microcontrollers" ] }, { "id": 116145, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/yondu/jobs/AwihGGR-chief-of-staff", "location": "Gardena, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $200K", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116147, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/yondu/jobs/EYpToWD-forward-deployed-engineer", "location": "Gardena, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$80K - $120K", "equity_range": "0.01% - 0.10%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 116149, "title": "Robot Technician", "url": "https://www.ycombinator.com/companies/yondu/jobs/Af1rQ7C-robot-technician", "location": "Gardena, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$60K - $80K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116150, "title": "Software Engineering Intern (Spring/Summer)", "url": "https://www.ycombinator.com/companies/yondu/jobs/0Cu1yIr-software-engineering-intern-spring-summer", "location": "Gardena, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Robotics", "salary_range": "$4K - $10K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 116151, "title": "Mechatronics Intern (Spring/Summer)", "url": "https://www.ycombinator.com/companies/yondu/jobs/glxSqKV-mechatronics-intern-spring-summer", "location": "Gardena, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$4K - $6K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95475, "title": "Yondu AI ➡️ Enabling the robot workforce of the future", "tagline": "Yondu is the platform for robot labor starting with drop-in order fulfillment automation", "body": "### **We are a platform-to-application company that puts robots in warehouses and makes them useful on day one. Our state-of-the-art remote teleoperation gives immediate efficiency gains, with our robot behavior models gradually taking over to reach full automation and drive costs down further. We’re starting with mobile order fulfillment, where a huge chunk of warehouse labor spend sits.**\n\n![uploaded image](/media/?type=post&id=95475&key=user_uploads/1547615/e8add669-ff4f-4eaa-9579-da70973fc77b)\n\n[https://www.youtube.com/watch?v=GzglTuRloCo](https://www.youtube.com/watch?v=GzglTuRloCo&t=1s)\n\n### ——————————————————————————————\n\n# **The timing**\n\nGeneral purpose robot **hardware has gotten 10x cheaper** in the past decade. And advancements in robot learning are helping automate **long-form, complex tasks**. **BUT** it’s still hard to achieve the **perfect human level success rates necessary** for deployment! The **opportunity lies in automating the shorter-form, easier-to-master tasks** that still have a level of complexity that made them impossible to automate in the past. The logistics field is full of these types of problems…\n\n![uploaded image](/media/?type=post&id=95475&key=user_uploads/1547615/8a3ea638-c361-46bd-8276-97be15ccf669)\n\n_A simple, fully autonomous pick at 1× speed_\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n### ——————————————————————————————\n\n# **The problem in mind**\n\nOrder picking labor can account for up to **50%** of warehouse manual operating costs. Pickers often walk **miles** per shift! Warehouses still rely on people for repetitive, physically demanding tasks with high turnover. Existing order fulfillment automation falls into two buckets:\n\n\\- **ASRS (Automated Storage and Retrieval Systems)**: Basically turns a warehouse into a giant 3D robot grid system. It gets high throughput but costs tens of millions and requires an overhaul of warehouse space. 😢 **_HIGH COST_**_, 😊 **HIGH AUTOMATION**_\n\n\\- **AMR (Autonomous Mobile Robots)**: These robots carry shelves and goods around which reduces walking time. But they still require human picking. 😊 **_LOW COST_**_, 😢 **LOW AUTOMATION**_\n\n### ——————————————————————————————\n\n# **OUR SOLUTION**\n\n**We’ve created a 3 part embodied-AI platform that automates bin picking using off the shelf robots in brownfield deployments. 😊 _LOW COST, 😊 HIGH AUTOMATION_**\n\nhttps://youtu.be/UVmMSui2_FQ\n\nWith **ULTRON** (user-friendly low-latency **remote teleoperation** system) we **deploy first**, putting robots to use immediately in our customers’ operations and spinning up our data flywheel.\n\n![uploaded image](/media/?type=post&id=95475&key=user_uploads/1547615/6ddec526-7b14-48db-a5b1-387ea371943e)\n\nOur **WMS** (warehouse management software) **integration and** **orchestration** software routes orders from a warehouse’s WMS to our platform, instructing robots where to go and operators what to pick.\n\n![uploaded image](/media/?type=post&id=95475&key=user_uploads/1547615/583a510d-09f3-46e7-8b54-c44e0edc3e9b)\n\nOur autonomy stack **YGM** (Yondu General Manipulation) pushes the system to fully autonomous as we **gain more in-the-wild** experience. Over time the manipulation policy takes over more work and the operator is required less. YGM is responsible for:\n\n* Steering our robot policy to pick and place from the correct bins\n* Identifying how good a job it is doing and whether it is struggling so an operator can take over\n* Learning from new experiences and adapting to succeed in situations that it previously struggled in\n\n![uploaded image](/media/?type=post&id=95475&key=user_uploads/1547615/663a0f0b-53ce-40b5-ad46-95980e70197b)\n\n_Operations in our partner warehouse_\n\n### ——————————————————————————————\n\n# Our Vision\n\nOur platform is **not limited to only helping us conquer bin picking**. Logistics warehouses still have many more repetitive-yet-slightly-complex tasks such as decanting, replenishing, and packing. And as **robot learning capabilities continue to grow**, our pipeline of _deploy→collect→refine→automate_ only increases in value. There will be **more brownfield robotics automation providers** for specific industries and increasingly complex tasks. They will need to integrate with their customers and spin up their own data flywheels. And the Yondu platform will be available for them so they can automate **any task** with **any robot**.\n\n### ——————————————————————————————\n\n# **Team**\n\nWe’ve gathered quite the team. Here are just a few of our talented members\n\n\\- **Michael Chen (CEO)** Ex-MIT Controls and Robotics\n\n\\- **Tahmid Jamal (CTO)** MIT AI & Aerospace\n\n\\- **Lianhao Yin (Head of Research)** MIT CSAIL Postdoc in Robotic Systems\n\n\\- **Jairo Maldonado (Teleop Lead)** Georgia Tech PhD in Robotic Prosthesis\n\n\\- **Mehul Kumar (Founding Researcher)** Industry veteran in VR, humanoids, simulations, and teleop\n\n![uploaded image](/media/?type=post&id=95475&key=user_uploads/1547615/b5914757-4088-48a7-b88b-0252656f6300)\n\n### ——————————————————————————————\n\n# Ask\n\n\\- **3PLs**: If you are in charge of warehouse operations and think you’re spending more resources on a job than you _should_ be, **complain to us**!\n\n\\- **Robotics partner**: If you’re also in the robotics automation space and would like to use our platform, **let’s partner up**\n\n**Reach out to [founders@yonduai.com](mailto:hello@yonduai.com)**\n\n### ——————————————————————————————", "url": "https://www.ycombinator.com/launches/Opv-yondu-ai-enabling-the-robot-workforce-of-the-future", "votes": 58, "created_at": "2025-11-14T18:30:57.452Z" } ] }, { "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": 29447, "name": "Deepnight", "slug": "deepnight", "former_names": [ "DeepNight" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/419c6b136773af60713e2a4301554b4ef1bbd8a9.png", "website": "https://www.deepnight.com", "all_locations": "San Francisco, CA, USA", "long_description": "DeepNight is building the next generation of night vision with AI.", "one_liner": "Building The Next Generation of Night Vision Devices", "team_size": 16, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1709629638, "tags": [ "Computer Vision", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Industrials", "Defense" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/deepnight", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/deepnight.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/deepnight-inc", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/419c6b136773af60713e2a4301554b4ef1bbd8a9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1583389, "full_name": "Lucas Young", "title": "Founder/CEO", "founder_bio": "Solving night vision with software.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucasdyoung/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1db87cb23cdb8e0c210d7b811a4beb540a83c9e6.jpg" } ], "jobs": [ { "id": 84663, "title": "Computer Vision Engineer", "url": "https://www.ycombinator.com/companies/deepnight/jobs/xG3gegU-computer-vision-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$160K - $240K", "equity_range": "0.10% - 0.40%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Torch/PyTorch", "Machine Learning", "Deep Learning", "Computer Vision" ] }, { "id": 109948, "title": "Electrical Engineer - Displays & Camera Sensors", "url": "https://www.ycombinator.com/companies/deepnight/jobs/Apr3qXh-electrical-engineer-displays-camera-sensors", "location": "San Diego, CA / San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$120K - $180K", "equity_range": "0.15% - 0.35%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "PCB design" ] } ], "news": [ { "title": "YC grad Deepnight nabs $5.5M for AI night vision software that disrupts a multi-billion dollar industry | TechCrunch", "url": "https://techcrunch.com/2025/02/27/yc-grad-deepnight-nabs-5-5m-for-ai-night-vision-software-that-disrupts-a-multi-billion-dollar-industry/", "date": "Feb 27, 2025" } ], "launches": [] }, { "id": 29557, "name": "Ultra", "slug": "ultra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e0a45197c7d56b15f0976e431a519c2b35929c0.png", "website": "https://ultra.tech", "all_locations": "New York City, NY, USA", "long_description": "Ultra builds practical, general-purpose robots that are deploying—and producing ROI—today.\r\n\r\nUnlike traditional industrial automation that’s rigid and complex, our robots are zero integration (able to be installed in hours, not weeks) and are highly flexible, capable of quickly learning new tasks and delivering immediate value to customers.\r\n\r\nFounded by a team of three-time entrepreneurs with a decade of collaboration, Ultra moves fast. We already have robots in the field generating revenue and data, with plans to rapidly scale deployments this year.", "one_liner": "Practical, general-purpose robots for repetitive industrial tasks", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1723759198, "tags": [ "Robotics", "Logistics", "AI", "Industrial" ], "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": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ultra", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/ultra.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ultraroboticsco", "x_url": "https://x.com/Ultraroboticsco", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e0a45197c7d56b15f0976e431a519c2b35929c0.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": 36827, "full_name": "Jon Miller Schwartz", "title": "Founder/CEO", "founder_bio": "Robotmaxxing at Ultra. Prev Arena AI, Voodoo Manufacturing (YC W17), Body Labs, and Layer By Layer (YC S13).\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jmschwartz11", "x_url": "https://twitter.com/JMSchwartz11", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4175a41b7ddfb0a9f80aaa87d7b4354f003a0842.jpg" }, { "user_id": 36828, "full_name": "Max Friefeld", "title": "Founder", "founder_bio": "Max is the co-founder and COO of Ultra. \n\nHe studied Computer and Electrical Engineering at Harvey Mudd College ('13), and founded two YC-backed companies, Layer By Layer (S13) and Voodoo Manufacturing (W17).\n\nImmediately prior to starting Ultra, Max led teams at Boston Consulting Group optimizing operations for the largest logistics networks in the world and developing go-to-market strategy for private equity backed robotics companies.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mfriefeld", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d8216f62957dfd9a799bdefaf861c60b0774a844.jpg" }, { "user_id": 36829, "full_name": "Oliver Ortlieb", "title": "Founder/CTO", "founder_bio": "Oliver is the co-founder and CTO of Ultra.\n\nBefore co-founding Ultra, Oliver Ortlieb was the Co-founder & CTO at Voodoo Manufacturing where he built the software and systems to support one of the largest 3D printing factories in the world. Prior to that, he co-founded Layer By Layer, a secure marketplace for 3D-printable products. He holds multiple patents in the field of 3D printing, and received his BS in Computer Science from Harvey Mudd College.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oliverortlieb", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c3fc0be0545afe2d8211c303677994e8a2952daa.jpg" }, { "user_id": 1831182, "full_name": "Chetan Parthiban", "title": "Founder", "founder_bio": "Chetan is a Co-Founder and Chief Scientist of Ultra. \n\nHe studied Mathematics and Robotics at the University of Pennsylvania, where he received both his BA and MSE. Chetan has deep experience in applied AI as he was one of the first machine learning scientists at Arena, where he focused on applying machine learning to solve high frequency decision making problems. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chetan-parthiban", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/749af06a053a239e175d1652781dd89476c0a8c5.jpg" } ], "jobs": [ { "id": 74646, "title": "Robotics Software Engineer", "url": "https://www.ycombinator.com/companies/ultra/jobs/Dureryz-robotics-software-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$150K - $250K", "equity_range": "0.10% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python" ] }, { "id": 74651, "title": "Machine Learning Scientist", "url": "https://www.ycombinator.com/companies/ultra/jobs/4eHDieo-machine-learning-scientist", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $275K", "equity_range": "0.10% - 1.25%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Machine learning" ] }, { "id": 86406, "title": "Senior Machine Learning Engineer", "url": "https://www.ycombinator.com/companies/ultra/jobs/rrGm2vq-senior-machine-learning-engineer", "location": "NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$175K - $275K", "equity_range": "0.25% - 0.75%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102723, "title": "Senior Mechatronics Engineer - R&D", "url": "https://www.ycombinator.com/companies/ultra/jobs/2TWk03F-senior-mechatronics-engineer-r-d", "location": "New York, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102725, "title": "Deployment Engineer", "url": "https://www.ycombinator.com/companies/ultra/jobs/ypeplP4-deployment-engineer", "location": "New York, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 102726, "title": "Field Support Technician", "url": "https://www.ycombinator.com/companies/ultra/jobs/pq8Nnee-field-support-technician", "location": "New York, United States", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 102727, "title": "Senior Electrical Engineer", "url": "https://www.ycombinator.com/companies/ultra/jobs/67kIKjJ-senior-electrical-engineer", "location": "New York, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102728, "title": "Supply Chain and Procurement Lead", "url": "https://www.ycombinator.com/companies/ultra/jobs/bwhTqw4-supply-chain-and-procurement-lead", "location": "New York, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102729, "title": "Robot Manufacturing Technician", "url": "https://www.ycombinator.com/companies/ultra/jobs/GmHGHC0-robot-manufacturing-technician", "location": "New York, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 102733, "title": "Research Scientist", "url": "https://www.ycombinator.com/companies/ultra/jobs/JUvjsB0-research-scientist", "location": "New York, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$250K - $350K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102734, "title": "Technical Program Manager, Data & Autonomy", "url": "https://www.ycombinator.com/companies/ultra/jobs/yOuxbEY-technical-program-manager-data-autonomy", "location": "New York, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $250K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102738, "title": "Founding Product", "url": "https://www.ycombinator.com/companies/ultra/jobs/FBkPnMN-founding-product", "location": "New York, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102739, "title": "Head of People", "url": "https://www.ycombinator.com/companies/ultra/jobs/SVLN1F9-head-of-people", "location": "New York, United States", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 103176, "title": "Head of Marketing", "url": "https://www.ycombinator.com/companies/ultra/jobs/Vafn155-head-of-marketing", "location": "New York, United States", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105451, "title": "Product Engineer ", "url": "https://www.ycombinator.com/companies/ultra/jobs/nHZ29Tq-product-engineer", "location": "New York, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 107001, "title": "Senior Software Infrastructure Engineer ", "url": "https://www.ycombinator.com/companies/ultra/jobs/hyzmpbG-senior-software-infrastructure-engineer", "location": "New York, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 113502, "title": "Data Operations Associate", "url": "https://www.ycombinator.com/companies/ultra/jobs/9jPJKd3-data-operations-associate", "location": "New York, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115421, "title": "Head of Hardware", "url": "https://www.ycombinator.com/companies/ultra/jobs/fCC9bhS-head-of-hardware", "location": "New York, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117036, "title": "Facilities & Office Manager", "url": "https://www.ycombinator.com/companies/ultra/jobs/IYhbTmv-facilities-office-manager", "location": "New York, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117231, "title": "Head of Pilot Operations", "url": "https://www.ycombinator.com/companies/ultra/jobs/nXjHf7e-head-of-pilot-operations", "location": "New York, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Ultra raises $62 million for fast-growing ‘robots as a service’ business, announces tie-up with AI research firm Physical Intelligence | Fortune", "url": "https://fortune.com/2026/10/09/ultra-raises-62-million-fast-growing-robots-service-tie-up-ai-research-firm-physical-intelligence/", "date": "Oct 09, 2026" } ], "launches": [ { "id": 83218, "title": "🇺🇸🤖 Ultra - Building the next million robots to automate American warehouses", "tagline": "Warehouses are filled with dull, repetitive tasks still done by people. Ultra makes robots to change that.", "body": "**_TL;DR_**: Ultra robots automate e-commerce order packaging and returns in fulfillment centers. Traditional automation isn't working for warehouses because it's costly, rigid, and often underutilized. Our robots are different: they’re easy to deploy, resilient to changing environments, and powered by AI that’s trained with examples.\n\n![uploaded image](/media/?type=post&id=83218&key=user_uploads/36827/b95e65a5-16bd-4a49-9790-0cf80c5b5c27)\n\nHi everyone - we’re [Oliver](https://www.linkedin.com/in/oliverortlieb/), [Chetan,](https://www.linkedin.com/in/chetan-parthiban/) [Jon](https://www.linkedin.com/in/jmschwartz11/), and [Max](https://www.linkedin.com/in/mfriefeld/). After years of building and scaling manufacturing and robotics companies (_Layer By Layer, S13, and Voodoo Manufacturing, W17_), we’re now focused on bringing automation to the industries that need it most.\n\n![uploaded image](/media/?type=post&id=83218&key=user_uploads/36827/8b8174a9-9ca6-46cc-b6f6-f7b1e854c160)\n\nWe believe we’re at a moment in history when robots can be made accessible and capable enough for mass adoption - and we need it more than ever.\n\n**Labor is harder to come by than it’s been in decades**.\n\nImagine running a warehouse: you hire 20 temp workers to come in one day, but only 15 show up in the morning, and just 5 return after lunch. That’s the reality one of our partners told us they face.\n\nIn 2018, the U.S. entered its first labor shortage in over 60 years. Today, we are short over 1.3 million workers, causing companies to go understaffed or rely on high-churn temp labor.\n\nAnd yet, **traditional warehouse automation isn’t being adopted fast enough**.\n\n![uploaded image](/media/?type=post&id=83218&key=user_uploads/36827/04cde5a1-5136-4f3b-b880-24464506183b)\n\n# **🤖 Ultrabots**\n\nUltra is building robots that can be dropped in at existing workstations and quickly trained to do repetitive tasks. They are more cost-effective than human labor and can operate around the clock, giving your team [✨](https://emojipedia.org/sparkles)superpowers[✨.](https://emojipedia.org/sparkles)\n\nWe use reliable off-the-shelf hardware so we can focus on rapid deployment. The key to unlocking the next million robots is data scale, and the fastest way to get there is to put robots in real-world environments doing useful tasks.\n\n# **⏰ Why Now?**\n\nRecent AI breakthroughs mean we can control robots with neural nets trained with examples, rather than with explicitly programmed routines.\n\n![uploaded image](/media/?type=post&id=83218&key=user_uploads/36827/ebd67a19-babf-4f49-81f4-7994950ed7f7)\n\n_Above is an example of a fully autonomous picking policy we trained on \\~2hrs of data from teleoperating our research arms. The two RGB camera feeds are the input to the model, which outputs the joint+gripper positions at 10Hz._\n\n![uploaded image](/media/?type=post&id=83218&key=user_uploads/36827/13ced136-d5de-4a57-ade8-cb53e074a4a7)\n\n_Examples of emergent behavior learned from the training data, but not explicitly programmed like what would be required in traditional automation._\n\n# **🙏 Asks**\n\nWe’d love to connect to e-commerce 3PLs and large brands that handle their own fulfillment. You can reach us at [founders@ultra.tech](mailto:founders@ultra.tech). Thanks!", "url": "https://www.ycombinator.com/launches/LeE-ultra-building-the-next-million-robots-to-automate-american-warehouses", "votes": 66, "created_at": "2024-08-20T14:59:15.048Z" }, { "id": 66553, "title": "YC Deals - Access to software deals for employees at YC companies", "tagline": "Employees at YC companies have access to more than 100 discounts and exclusive offers on industry leading tools.", "body": "Hello, [Oliver](https://www.linkedin.com/in/oliverortlieb/) and [Zach](https://www.linkedin.com/in/zach-kamran/) here, software engineers at Y Combinator. We are thrilled to announce YC Deals. \n\nEmployees at YC companies can now leverage one of the major benefits previously only available to YC founders – [YC Deals](https://deals.ycombinator.com/). Through YC Deals, employees have access to more than 100 discounts and exclusive offers on industry leading tools. There are already $500,000 worth of free credits and discounts available, and new deals are constantly being added.\n\n**❌ The Problem**\n\nWe built YC Deals for our companies with a growing team. The founders still want to take advantage of the wide variety of discounts and free credits that YC companies receive, but their employees don’t have access to Bookface (our internal platform for YC founders), where these exclusive deals are listed. \n\n**✨ Our Solution**\n\nNow any employee of a YC company can redeem these deals and help their company save money. Building something new? There are dozens of dev tools like PostHog, Fivetran, and OneSignal.  First HR or ops hire? Get Deel and Stable up and running at a discount. In charge of security? Check out Vanta.  Also find deals on startup staples, like Gusto, GitHub, Algolia, and Amplitude. Help build and grow your company using world-class tools on a startup budget. \n\n![](https://lh5.googleusercontent.com/OVsQc12ujUnJFjcR_OxLDPXrIqj4mEsltXolYe2QhAQEnu2RuZ3Fxv57z2kkc_q2P9rfXhkFKPmJzqM2pJ-th57ArroztYuQQ43o04-PI_6lwk6qWZxnAWciWP6K7x5i8ZTQiBabH2s5ax5vH2n5nh7UUjf1Y4_F3-hK7cxIzjMPxTTyqYIzK0pp)\n\n**👉 Next steps**\n\nEmployees at YC companies can access YC Deals by completing a simple email verification flow using their company email address [here](https://deals.ycombinator.com/).\n\nIf you’d like to offer a deal to the YC community and their employees, you can submit one [here](https://bookface.ycombinator.com/deals/new). \n\nAny additional questions about YC Deals? Visit our FAQs [here](https://deals.ycombinator.com/faq).", "url": "https://www.ycombinator.com/launches/HJR-yc-deals-access-to-software-deals-for-employees-at-yc-companies", "votes": 20, "created_at": "2022-10-06T16:03:12.293Z" } ] }, { "id": 29589, "name": "Theseus", "slug": "theseus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/05b004a38c0a5df5a4e151b258151cd9a38f08c8.png", "website": "https://theseus.us", "all_locations": "San Francisco, CA, USA", "long_description": "Theseus builds visual navigation software for GPS-denied drone operations. Using onboard cameras, inertial sensors, and satellite reference imagery, our system computes position fixes entirely passively. The system is entirely self contained, can't be jammed and has no RF signature.", "one_liner": "GPS Denied Navigation for Drones", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Drones", "launched_at": 1725406335, "tags": [ "Robotics", "Drones", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Drones" ], "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/theseus", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/theseus.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/theseustech/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/05b004a38c0a5df5a4e151b258151cd9a38f08c8.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": 1290514, "full_name": "Ian Laffey", "title": "Founder", "founder_bio": "GPS-denied nav for drones", "is_active": true, "linkedin_url": "https://linkedin.com/in/ian-laffey-943200247", "x_url": "https://twitter.com/ilaffey2", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0dea34f6fa9fe3e815c86e9a875ee467ffc01ab0.jpg" }, { "user_id": 917795, "full_name": "Sacha Lévy", "title": "Founder", "founder_bio": "Sacha Lévy is Co-Founder and Chief Technology Officer of Theseus Technology Corporation, where he develops visual navigation systems that enable drones to operate autonomously without GPS.\n\nBefore founding Theseus, he was a PhD student in Computer Science at Yale University, where his research applied large language models to biological data and was published in top machine learning conferences. He holds a B.Eng. in Computer Engineering from McGill University.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sacha-levy", "x_url": "https://x.com/sachalevy3", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d81061c1de4f0c0f74d5e91ca8625a9b5c3d1446.jpg" } ], "jobs": [ { "id": 92386, "title": "Lead Robotics Software Engineer, Localization", "url": "https://www.ycombinator.com/companies/theseus/jobs/yUlD33Z-lead-robotics-software-engineer-localization", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$200K - $300K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "C++", "Python", "Linux" ] }, { "id": 92621, "title": "Forward Deployed Software Engineer", "url": "https://www.ycombinator.com/companies/theseus/jobs/NYFHBhe-forward-deployed-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$80K - $120K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "C++", "Python" ] } ], "news": [ { "title": "Defense tech Theseus landed Y Combinator, the US Special Forces, and $4.3M from a tweet | TechCrunch", "url": "https://techcrunch.com/2025/04/17/defense-tech-theseus-landed-y-combinator-the-us-special-forces-and-4-3m-from-a-tweet/", "date": "Apr 17, 2025" } ], "launches": [ { "id": 83768, "title": "Theseus: GPS Denied Navigation for Drones", "tagline": "Our Visual Navigation System is a replacement for GPS that works with any drone.", "body": "![uploaded image](/media/?type=post&id=83768&key=user_uploads/1290514/a1856391-04dc-473d-92dd-9ad6c8a8cb95)\n\nSix months ago we did a hackathon, this month we sold to SOCOM. Our Visual Navigation System (VNS) uses cameras, an inertial measurement unit, and pre-loaded satellite imagery to determine it’s position and send a fake GPS signal to any drone. Integrations typically take <30min.\n\n### How It Started\n\n![uploaded image](/media/?type=post&id=83768&key=user_uploads/1290514/3f680d0f-91e3-4f9e-bf5f-212a076df8fa)\n\nIn February, [Carl](https://www.linkedin.com/in/carlscho) was a Senior at Stanford, [Sacha](https://linkedin.com/in/sacha-levy) was a PhD student at Yale, and [Ian](https://linkedin.com/in/ian-laffey-943200247) was working with a British celebrity. After our post went viral, we spent weeks talking with troops on the ground, drone manufacturers, and DoD.\n\nWe learned that:\n\n\\- The front lines of Ukraine are 100% GPS-denied\n\n\\- Cheap, DIY drones are extremely effective but typically rely on GPS\n\n\\- Existing GPS alternatives are extremely heavy and extremely expensive\n\nWe set out to create a low-cost, low-weight replacement for GPS that works with any drone.\n\n### How It’s Going\n\n![uploaded image](/media/?type=post&id=83768&key=user_uploads/1290514/edd612ed-a0d4-421d-afe4-36931183b93f)\n\nOur first customer in the Special Forces has enabled us to push our VNS to its limits, and the results have been impressive. Here are a few excerpts from a memorandum written by the Captain we work with:\n\n_“Having tested the Theseus’ VizNav system for a week, I am convinced that their technology presents the best solution for a current, and ever-expanding urgent operational need.”_\n\n![uploaded image](/media/?type=post&id=83768&key=user_uploads/1290514/edd4eb3e-a568-4519-84a8-de2020556437)\n\n_“As a company, Theseus has shown a willingness to seek the ground truth from the operator and make improvements based on these recommendations immediately. The progress they have made with limited funding gives me incredible confidence that they act quicker and more efficiently than any other vendors we have worked with.”_\n\n![uploaded image](/media/?type=post&id=83768&key=user_uploads/1290514/7fe82322-4001-49c7-b9ab-255c2a9174d6)\n\nDue to the sensitive nature of our product, technical details and customer-specific information in this post will be limited. We are happy to discuss results in more detail privately.\n\n### Going Forward\n\n![uploaded image](/media/?type=post&id=83768&key=user_uploads/1290514/5acb4bc0-1658-47f2-83ef-38d0dd6d3601)\n\nAmerica is way behind. The current demand for drones in Ukraine is 1-2 million yearly. Every country in the world sees this and is in the process of building out its arsenal. Our product affordably enables an entirely new capability set for every one of these platforms.\n\nWe have sold units to multiple customers, have six-figure LOIs from large drone manufacturers, integrations scheduled, and eight figures in funding for our VNS requested by the DoD for FY25.\n\nThe West needs to build millions of drones, and all of those drones need Theseus.\n\n![uploaded image](/media/?type=post&id=83768&key=user_uploads/1290514/3f997243-9cf5-4868-9a58-fda72313a613)\n\n", "url": "https://www.ycombinator.com/launches/Ln6-theseus-gps-denied-navigation-for-drones", "votes": 57, "created_at": "2024-09-04T22:35:57.651Z" } ] }, { "id": 29597, "name": "Spaceium Inc", "slug": "spaceium-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0afea0e3a81a3c4895401d9a1e4f5620a04a076b.png", "website": "https://spaceium.com", "all_locations": "Ottawa, ON, Canada", "long_description": "Spaceium builds fully automated space stations to refuel and repair spacecraft. We have secured $86.1 million in binding commercial contracts and have an additional $230 million in the pipeline. Additionally, we have 1 billion dollars in letters of intent. We have successfully tested our hardware, which will launch to space next year. \r\n\r\nOur fully automated space stations will efficiently store and transfer both cryogenic (extremely cold) and non-cryogenic fuels with zero loss during storage and transfer. And they can transfer fuel seamlessly to any spacecraft design using our proprietary modular robotic arm.\r\n\r\nOur customers include launch vehicles, orbital transfer vehicles, moon landers, and spacecraft that benefit from increased payload capacity and extended travel capabilities. Our long-term vision is to build service hubs along the space superhighway to connect Earth to Moon and Mars and help humanity to become multi multi-planetary species\r\n", "one_liner": "In-Space Refueling", "team_size": null, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1715783569, "tags": [ "Hard Tech", "Robotics", "Space Exploration", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "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/spaceium-inc", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/spaceium-inc.json", "year_founded": 2023, "city": "Ottawa", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/spaceium-inc", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0afea0e3a81a3c4895401d9a1e4f5620a04a076b.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": 985204, "full_name": "Ashi Dissanayake", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ Spaceium (S24) \nI love space and grew up wanting to be an astronaut one day. I co-founded Spaceium to build space infrastructure for a better new space economy. 
\nI specialize in orbital mechanics and rocket propulsion systems. Previously, I worked on Aerodynamic models for NASA, built models for interplanetary transfers for an unmanned return mission to an asteroid in real time, and built rocket engines, payload structures, and recovery systems. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/ashi-dissanayake", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e89b228c2cf8c0d080711c619dd0f4632d64e346.jpg" }, { "user_id": 1009478, "full_name": "Reza Fetanat", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO @ Spaceium (S24).\nBelieve in developing in-space infrastructure to sustainably explore space and find a better place to call home, like the first caveman stepping out of their cave. Help humanity become a multiplanetary species.\nI led a rocket program at university. We successfully launched 3 rockets and became fastest growing team. \nFully developed 4 rocket engines and built a propulsion stability model. \nBuilt many robots including rocket tracker for recovery.", "is_active": true, "linkedin_url": "https://linkedin.com/in/rezafetanat", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e7e9c6e7386b210ae285efac855201ec036fdbcf.jpg" } ], "jobs": [ { "id": 92025, "title": "Embedded Software Engineer – Canada", "url": "https://www.ycombinator.com/companies/spaceium-inc/jobs/kq3uAHj-embedded-software-engineer-canada", "location": "Ottawa, ON, CA / Ottawa, Ontario, CA", "type": "Full-time", "role": "Engineering", "role_type": "Embedded systems", "salary_range": "$75K - $110K CAD", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "C", "C++" ] } ], "news": [ { "title": "Y Combinator grad Spaceium raises oversubscribed $6.3M for space re-fueling | TechCrunch", "url": "https://techcrunch.com/2025/01/23/space-re-fueling-startup-spacium-raises-6-3-million/", "date": "Jan 23, 2025" }, { "title": "Spaceium Partners Space Machines for Space Cryogenic Refuelling", "url": "https://spacewatch.global/2024/01/spaceium-partners-space-machines-for-space-cryogenic-refuelling/", "date": "Jan 16, 2024" }, { "title": "Spaceium and The Exploration Company Partner for In-Space Servicing", "url": "https://www.google.com/search?client=safari&rls=en&q=spaceium+and+exploration+company&ie=UTF-8&oe=UTF-8", "date": "Sep 13, 2023" } ], "launches": [ { "id": 81561, "title": "🚀 Spaceium: Automated space stations that refuel and repair spacecraft in orbit", "tagline": "Enabling deep space exploration through unmanned service stations.", "body": "**TL;DR:** **Spaceium is building unmanned servicing stations in space to improve mission efficiency. Our stations will offer proprietary cryogenic fuel storage and transfer technology, enabling in-space refueling and providing robotic repair solutions, a capability that sets us apart. We aim to launch servicing stations in Low Earth Orbit in 2025 and expand to Geostationary Orbit, the Moon, and Mars by 2030.**\n\n\"Helping space explorers go \"where no man has gone before\" - Captain James T. Kirk :)\n\n**_ _** \n\nHi, everyone. We are [Ashi Dissanayake](https://linkedin.com/in/ashi-dissanayake) and [Reza Fetanat](https://linkedin.com/in/rezafetanat), the team behind [Spaceium](https://spaceium.com/).\n\n![uploaded image](/media/?type=post&id=81561&key=user_uploads/985204/76cbc58c-243e-410f-99ca-5eaa12bdeb79)\n\n**Here's a brief introduction:**\n\n**Ashi** is an Aerospace Engineer specializing in **Orbital Mechanics and rocket propulsion.** Ashi has worked on real-time simulation models for uncrewed return missions to asteroids and on **NASA-related aerodynamics projects**.\n\n**Reza** is also a space enthusiast and a Mechanical Engineer specializing in **Robotics, structures, and Cryogenics**. Reza has worked on revitalizing the **LR-101 engine, which was used on Atlas, Thor, and Delta launch vehicles.**\n\nWe first met while leading the University of Ottawa's rocketry team, where we built high-powered rockets to send scientific payloads to different altitudes. In our spare time, we enjoyed working together to build rockets in the backyard, sometimes leading to interesting experiences with backyard fires. 🔥\n\nThroughout our careers, we've noticed the constraints on space missions due to the lack of ability to refuel or repair spacecraft in orbit. The current solutions are costly, and a centralized location where spacecraft can refuel and repair is a massive necessity. We are on a mission to build the missing piece of space infrastructure that connects the space superhighway, Just like how service stations were built on Earth back in the day!\n\n# **The problem**\n\nAll spacecraft and space missions face a standard set of challenges. Fuel is a limited and difficult resource to transport. In the event of a significant issue, spacecraft cannot be repaired in space. These challenges have significantly hindered efficiency in current space missions and have been a substantial obstacle in humanity's quest to explore space further. \n\nUnlike a road trip where refueling is common and convenient, spacecraft face a unique challenge. Spacecraft cannot refuel along the way. Instead, they must carry all the fuel required for the mission from Earth. **An overwhelming 85% - 95% of the launch weight is fuel on a typical launch vehicle, with 80-90% burned off to reach orbit.** 🚀\n\nAs a result, spacecraft that transport loads in space (space tugs) can only perform, **on average, 25% as many missions as they're technically capable of due to the absence of refueling in space.** 🛰️\n\nFurthermore, even if a spacecraft wanted to carry additional fuel, it is not easy. Current spacecraft require cryogenic fuels such as liquid oxygen, methane, and liquid hydrogen, which must be stored and transferred at extremely low temperatures of -285°F. 🥶 Environmental factors in space, such as heat and radiation, increase the temperature of these fuels, causing them to boil off (vaporize).\n\nIn addition, **there is no current solution for spacecraft repair**. This means that today's spacecraft must operate flawlessly to maximize efficiency, which is only sometimes the case. For instance, Eutelsat Communications' satellites experienced power loss mid-mission with no option for repair, resulting in a **$30 million** revenue loss. **With Spaceium's multifunction robotic arm, the communication satellite could have been fixed.** 🛠️\n\n# **Solution**\n\n_Automated servicing stations in space 🌎🚀🛰️_\n\nOur primary solution aims to improve space missions' efficiency by addressing refueling challenges. **The developed cryogenic fuel storage and transfer technology is designed to store fuel without any boil-off for multiple years in space.** As a result, spacecraft can now refuel in space, carry more payload, and travel longer distances.\n\nTwo fundamental principles guide our proprietary Zero Boil Off (ZBO) technology. \n\n* Firstly, we prevent heat from entering the system through a unique tank design, insulation, and coating system. \n* Secondly, our innovative multistage closed-loop cooling system evenly removes the heat from the cryogenic fuel and transfers it to radiators, ensuring zero boil-off.\n\n \n\nOur cryogenic storage system is not only efficient but also highly scalable. Our current cooling system is **65% more efficient** than any other cooling system, and our scalable storage system can store up to 30 metric tons of fuel, making it adaptable to a wide range of space missions and requirements.\n\nAfter successfully addressing the challenge of transporting large amounts of space fuel, we turned our attention to developing technology for delivering this fuel to spacecraft in space. This is achieved through the use of a **multifunction robotic arm**. This advanced arm can securely dock with incoming spacecraft and initiate the fuel transfer. **The fluid system built within the arm allows the transfer of different fuel types through the robotic arm**. The built-in thermal system ensures that fuel is transferred to the customer's spacecraft at the correct temperature without any boil-off issues associated with cryogenic fuels in space.\n\nAdditionally, the same robotic arm is versatile enough to handle non-cryogenic fuels as well, providing a comprehensive solution for refueling spacecraft in space.\n\nIn addition to safe and efficient fuel transfer, the robotic arm is equipped with an interchangeable end effector designed for in-space repairs. In-space repairs are achieved through a fully automated robotic arm that can retrieve tools from a stored \"toolbox\" within the system. This innovative feature ensures that even in the event of a significant issue, spacecraft can be repaired in space, minimizing the risk of mission failure and maximizing mission efficiency.\n\nOur vision is to transform the space industry. Starting in Low Earth Orbit (LEO), our servicing infrastructure will progressively expand to encompass Geostationary Earth Orbit (GEO), the moon, and eventually Mars. We are on a mission to empower space missions to go further, explore more, and achieve what was once deemed impossible.\n\n**Who can benefit from our service stations in space** \n\n* **Launch vehicles** \n* **Orbital transfer vehicles** \n* **Space tugs** \n* **Moon landers** \n* **Satellites**\n\n# **Ask**\n\n* **Feedback, comments, or questions.** Reach out to us to learn how we can help with your missions.\n* **Warm Intros.** If you know or work with any launch providers, space companies, or satellite providers who could benefit from our service, please introduce us to them. 🛰 \n* **Follow.** Follow us on [LinkedIn](https://www.linkedin.com/company/spaceium-inc), [X](https://x.com/SpaceiumInc). Cool news coming soon\n* **Share.** Please share this post with your network so we can reach more space companies looking for refueling, repairs, and other services for their future missions. 👾\n\n# Email us [HERE](mailto:founders@spaceium.com).\n\nThank you!", "url": "https://www.ycombinator.com/launches/LDV-spaceium-automated-space-stations-that-refuel-and-repair-spacecraft-in-orbit", "votes": 30, "created_at": "2024-06-17T15:53:21.197Z" } ] }, { "id": 29650, "name": "Sorcerer", "slug": "sorcerer", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/543dab64586e13bb93c11e6012ecd070fb8c8a67.png", "website": "https://sorcerer.earth", "all_locations": "San Francisco, CA, USA", "long_description": "Sorcerer is deploying a global network of persistent airborne sensors to fuel advanced weather forecasting. Our high-altitude balloons collect 1000x more data than existing systems and are already used daily by meteorologists to track extreme weather across the US and Central America.", "one_liner": "Building a nervous system for the atmosphere", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1720630564, "tags": [ "Hard Tech", "Hardware", "Climate", "Aerospace", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Climate" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Hundreds of terabytes of weather data are collected from satellites, ground stations, airplanes and weather balloons every day. A typical weather satellite costs more than $100 million to launch, and the US National Weather Service spends over a billion dollars a year _just on its sparse network of weather balloon stations_. A small handful of organizations then pipe that data into billion-dollar supercomputers to run the world’s most expensive physics simulations four times a day. Despite this cost, there are still places in the US [**where we don't know what the temperature is going to be two days from now**](https://web.archive.org/web/20240705002110/https://www.washingtonpost.com/climate-environment/interactive/2024/how-accurate-is-the-weather-forecast/). And for the rest of the world that lacks adequate weather infrastructure? There’s always the [**weather rock**](https://en.wikipedia.org/wiki/Weather_rock). AI models are upending the expensive physics simulations. These models are more accurate, running at higher resolutions for a fraction of the cost. But, like most AIs, weather models are hungry for _data,_ and the reality is that most of the world isn’t covered despite the costly infrastructure.This is because _direct_ observation (as opposed to satellite observation) is both incredibly impactful but also incredibly expensive. This cost leaves **most of the Earth without in-situ observations**. Oceans have especially poor coverage, and no matter how good your model is, you still need to know what’s happening over the Pacific today to predict the weather in SF tomorrow. Sorcerer is deploying a global network of low-cost, persistent weather drones to provide real-time data in previously unreachable locations. Our system collects 30x more observations than the entire global observation infrastructure at 1% the cost. We use this data to train a weather model that’s already competitive with best-in-class traditional weather prediction, while being 10,000x cheaper." } ], "url": "https://www.ycombinator.com/companies/sorcerer", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/sorcerer.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sorcerercorp", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/sorcerer", "github_url": "https://github.com/sorcerer-corp", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/543dab64586e13bb93c11e6012ecd070fb8c8a67.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ffc46de4c072ee18d52ad35baaaefdb696ca57f7.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 563504, "full_name": "Austin Tindle", "title": "Founder/CEO", "founder_bio": "CEO at Sorcerer. Engineering and product leader of decacorn hardware teams. Previously Head of Product at SumUp, led acquisition of Fivestars (YC W11).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/austintindle", "x_url": "https://x.com/_austintindle", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6907374cc6f41e1784fd922204f4bf1da1976e52.jpg" }, { "user_id": 1982858, "full_name": "Maxmillion McLaughlin", "title": "Founder/CTO", "founder_bio": "CTO of Sorcerer. Previously, first hire at Urban Sky where I led development of high-resolution stratospheric imaging systems for mapping cities and tracking wildfires.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maxmclau/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/edec734a752bb1817cc9bc04e9089b0c5250788e.jpg" }, { "user_id": 1982860, "full_name": "Alessandro Vecchi", "title": "Founder/CPO", "founder_bio": "CPO of Sorcerer. I was employee #3 at Urban Sky, where I built their mission control software (\"the best in the world\" - US Secretary of Defense) and prediction engine from the ground up. Over 5 years of experience working with/dealing with forecast and weather data. Building software products since I was in high school.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/avecchi/", "x_url": "https://x.com/big_veech", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/665d0ba4bdc25d0c61592f32c2caa08dec803f04.jpg" } ], "jobs": [], "news": [ { "title": "Y Combinator startup Sorcerer raises $3.9M to launch more weather balloon", "url": "https://www.axios.com/pro/climate-deals/2025/06/12/sorcerer-seed-weather-balloons", "date": "Jun 12, 2025" } ], "launches": [ { "id": 83172, "title": "Sorcerer - Weather balloons that collect 1000x more data", "tagline": "Sorcerer builds weather balloons that last for over six months, collecting 1000x more data per dollar from previously inaccessible regions.", "body": "![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdhaRDb6jJZ-jlGUyRp-3-n13VeXn3891lqS1FiV2F80tyntvz2hIWMa4p-4IBuZ_jYh8C1Xg2_jlzBMtO-SSYSaiHp6nwjxQkUJ4iDx756wC7zfboXTd5DEVI3WaWNb0XbXGKK7w5rmDjUS4dW_8IbhaM?key=hflpXWIGtnGX0Lu39DmmlA)\n\nHey YC! We’re [Max](https://www.linkedin.com/in/maxmclau/), [Alex](https://www.linkedin.com/in/avecchi/), and [Austin](https://www.linkedin.com/in/austintindle/), the team behind [Sorcerer](https://sorcerer.earth).\n\n**The problem & background**\n\nHundreds of terabytes of weather data are collected from satellites, ground stations, airplanes, and weather balloons every day. In-situ weather observation has the most impact on weather models, but it’s incredibly expensive to collect. The US National Weather Service spends over a billion dollars annually _just on its network of weather balloons, stations, and aircraft sensors_. Despite this cost, there are still places in the US [where we don't know what the temperature will be two days from now](https://web.archive.org/web/20240705002110/https://www.washingtonpost.com/climate-environment/interactive/2024/how-accurate-is-the-weather-forecast/). And for the 80% of the world that lacks any weather infrastructure? There’s always the [weather rock](https://en.wikipedia.org/wiki/Weather_rock).\n\n**The solution**\n\nWe’re launching a global network of persistent weather balloons to provide real-time data in previously unreachable locations. Each balloon remains airborne for over six months, completing \\~30 laps around the globe while navigating between sea level and 65,000 feet. We’re able to collect 1000x more data per dollar than current systems, and we use this unique data to train AI weather models that are up to 50% more accurate than today’s best forecasts. \n\n\n\n**The Team**\n\nAs founding engineer at aerospace startup [Urban Sky](https://www.urbansky.com/), Max developed the world’s first stratospheric ballooning systems for high-resolution imaging and wildfire tracking. As employee number three at Urban Sky, Alex built their mission control and flight prediction engine from the ground up (“the best in the world” - US Secretary of Defense). Austin was an ultralight flight instructor before he could legally drive and was most recently Head of Product at [SumUp](https://www.sumup.com/en-us/), shipping highly regulated hardware at scale.\n\n**How You Can Help**\n\n* **Industry intros:** We’d love to talk with aerospace, commercial aviation, ocean freight, logistics, and commodities trading execs (these folks think weather data is pretty neat)\n* **If you find one of our balloons near SF**: Sorry! It’s still a work in progress (and please get it back to us)\n\nWe’d also love to hear from you! Reach out any time at [austin@sorcerer.earth](mailto:austin@sorcerer.earth)  \n\nBest,\n\nMax, Alex, & Austin\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfcNhE481xXzkiV3QVQ7bg2bDc4PCU74OYnk6YZZJVbqnpL0CAUknXkFEocEj9MqXJOghGBGnQU0YWXMr9E2j-CeiVHbKLzwKy7PV33p0rM27WB1s_WpSsNZp7xV2fhDo5QnBEUXHJj501V8MDVTuF1-j0H?key=hflpXWIGtnGX0Lu39DmmlA)\n\n# ", "url": "https://www.ycombinator.com/launches/LdU-sorcerer-weather-balloons-that-collect-1000x-more-data", "votes": 84, "created_at": "2024-08-19T16:13:50.662Z" } ] }, { "id": 29657, "name": "Azalea Robotics Corporation", "slug": "azalea-robotics-corporation", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a43d3ef392fa3a7d4ef89797c2972ddacbdd1b5c.png", "website": "https://azalearobotics.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Azalea Robotics automates airport baggage handling with intelligent robot operations. The global market for airport baggage handling systems is $20+ billion and growing, presenting a significant opportunity for innovation and market disruption in this sector.\r\n\r\n\r\nPassenger air traffic volume is increasing, driving demand for efficient and reliable baggage handling at airports and putting immense pressure on existing infrastructure. In 2023 alone, airports processed approximately 4.5 billion bags, highlighting the need for advanced solutions to manage this load effectively. Azalea Robotics provides state-of-the-art robotic systems that enhance efficiency, reduce mishandling, and improve passenger experience through more reliable operations.\r\n\r\n\r\nBaggage handling is a critical component of airline ground operations, yet it is fraught with challenges. The work is physically demanding, often leading to long-term injuries among workers. Traditional baggage handling involves repetitive lifting and maneuvering of heavy loads, which can result in long-term health issues. Azalea Robotics addresses these challenges by automating the most strenuous tasks, thereby reducing the risk of injury and enhancing operational efficiency.", "one_liner": "Automating airport baggage handling with robots.", "team_size": null, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1723668106, "tags": [], "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", "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/azalea-robotics-corporation", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/azalea-robotics-corporation.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/azalea-robotics", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a43d3ef392fa3a7d4ef89797c2972ddacbdd1b5c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2440553, "full_name": "David Millard", "title": "Founder/CEO", "founder_bio": "David is a roboticist and software engineer with a background in mathematics and computer science. He previously worked as a software engineer at Google X on the Everyday Robots project, Microsoft, and at IronOx (W16).\n\nDavid's doctoral research focused on robotic systems manipulating non-rigid objects and was funded by a NASA Space Technology Research Fellowship. He has published research with the NASA Jet Propulsion Lab, Ames Research Center, and Google DeepMind.", "is_active": true, "linkedin_url": "https://linkedin.com/in/davidrmillard", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb42e55de176df3e9bf645c958acb13224f376d8.jpg" }, { "user_id": 1401183, "full_name": "John B. Stroud", "title": "Founder/CFO", "founder_bio": "John B. is a finance and operations professional with experience in airline operations, management consulting, and large-scale operations finance. He has a full-time MBA from Kellogg School of Management at Northwestern University. From his time at United Airlines, John B. understands the inner workings of major international airlines and the inherent challenges of running manual baggage handling systems that he brings to Azalea Robotics.", "is_active": true, "linkedin_url": "https://linkedin.com/in/john-b-stroud", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/906a7519687cd3f06c27af123d06d788e56791bb.jpg" } ], "jobs": [ { "id": 106474, "title": "Senior Robotics Engineer", "url": "https://www.ycombinator.com/companies/azalea-robotics-corporation/jobs/vjwIUhh-senior-robotics-engineer", "location": "Berkeley, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "13 companies from YC Demo Day 1 that are worth paying attention to | TechCrunch", "url": "https://techcrunch.com/2024/09/25/13-companies-from-yc-demo-day-1-that-are-worth-paying-attention-to/", "date": "Sep 25, 2024" } ], "launches": [ { "id": 83069, "title": "Azalea Robotics - Robots moving bags at airports", "tagline": "We build robotic systems to automate airport baggage operations.", "body": "**TL;DR** - [**Azalea Robotics**](https://azalearobotics.com/) is building robots to handle baggage between touchpoints at airports. Our robots work around the clock, never get tired, and never lose or damage your bag after check-in.\n\n\\\n\\\n**The Team** - [David](https://linkedin.com/in/davidrmillard) and [John B.](https://linkedin.com/in/john-b-stroud) met in undergrad at the University of Georgia and have been close friends for 12 years. David has a PhD in Computer Science from USC and is an expert in soft-body robotic manipulation. John B. has an MBA from Kellogg and extensive experience in airline ground operations. They founded Azalea Robotics at the intersection of their combined strengths to modernize bag-handling systems at airports.\n\n![uploaded image](/media/?type=post&id=83069&key=user_uploads/1401183/c6103fdc-dad1-4a28-af14-48852427f62f)\n\n\\\n**The Problem** - Airport baggage handling is broken. It requires an immense amount of back-breaking labor, using decades-old infrastructure at airports, all while passengers increasingly choose to cram everything into a carry-on because they don’t trust airlines to deliver their luggage on time and in one piece. Airlines and airports have an increasingly hard time hiring these workers and are plagued by frequent system outages and customer confusion and complaints during large weather events.\\\n\\\n**The Solution** - Robotic systems work around the clock, never get tired and damage your bag, never misidentify bags, and are significantly cheaper to deploy than manual labor. Our technology allows large robotic arms to handle all bag types and intelligently improve with every bag transferred.\n\n\\\n**Our Customers** - We sell our systems to airports and airlines around the world. Depending on the size of their airport presence (i.e., is this a hub for a given airline?), airlines will either outsource or hire in-house baggage handling for their customers. Airports are typically public entities run by the local city or metropolitan area and can be more or less hands-on with baggage handling, depending on their passenger volume. Worldwide, airports and airlines spend $20B+ to handle 4.5B+ bags (and growing) every year!\\\n\\\n**Our Ask** - Everyone has a nightmare baggage story, and we’d love to hear yours at [mishandled@azalearobotics.com](mailto:mishandled@azalearobotics.com)! Otherwise, if you're interested in learning more or have someone you think we should talk to, let us know at [founders@azalearobotics.com](mailto:founders@azalearobotics.com)!\n\n![uploaded image](/media/?type=post&id=83069&key=user_uploads/1401183/40154504-9ea0-40d9-a079-88ff9551ab24)\n\n", "url": "https://www.ycombinator.com/launches/Lbp-azalea-robotics-robots-moving-bags-at-airports", "votes": 33, "created_at": "2024-08-15T03:08:21.196Z" } ] }, { "id": 29661, "name": "Silurian", "slug": "silurian", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/264e2c359db5aaec1e0417e61bfa018c5458c3dc.png", "website": "https://silurian.ai/", "all_locations": "Seattle, WA, USA", "long_description": "Silurian is building foundation models for simulating Earth, starting with weather. From assessing the risk of wildfires to predicting the energy grid load, we provide an infrastructure layer for our planet. Our frontier models push the boundaries of what can be simulated on Earth and improve decision making across vital sectors including energy, insurance, agriculture, and logistics. \r\n", "one_liner": "Foundation models to simulate Earth, starting with weather.", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1723594839, "tags": [ "Climate", "Insurance", "Agriculture", "Energy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Climate" ], "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/silurian", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/silurian.json", "year_founded": 2024, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/silurianai", "x_url": "https://twitter.com/SilurianAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/silurian-ai/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/264e2c359db5aaec1e0417e61bfa018c5458c3dc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1974056, "full_name": "Jayesh K. Gupta", "title": "Founder/CEO", "founder_bio": "Jayesh is Co-founder and CEO of Silurian AI. Previously he was the Head of AI at Poly Corporation. He led the development of the first foundation model for weather & climate as researcher at Microsoft and was the co-author of Aurora. Jayesh holds a Ph.D. in CS from Stanford.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jayeshkg/", "x_url": "https://x.com/rejuvyesh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b2c8dc753ea95bb3e34ce4114e9431fea3cdea4.jpg" }, { "user_id": 1988161, "full_name": "Nikhil Shankar", "title": "Founder", "founder_bio": "Nikhil is a co-founder and chief engineer at Silurian AI. Previously he was a software engineer at AWS SageMaker and prior to that he dropped out of his PhD in applied mathematics where he was working on problems in fluid dynamics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nikhil-shankar-3090131b7/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9dc04e3799ba4d8f4545296148cba73d66480079.jpg" } ], "jobs": [ { "id": 81736, "title": "Machine Learning Research Engineer / Scientist", "url": "https://www.ycombinator.com/companies/silurian/jobs/eexfBWN-machine-learning-research-engineer-scientist", "location": "Seattle, WA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$120K - $250K", "equity_range": "0.25% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "AI Startups Urge Congress to Preserve Access to Weather Data", "url": "https://www.riskmarketnews.com/ai-startups-urge-congress-to-preserve-access-to-weather-data/", "date": "Jul 21, 2025" }, { "title": "Startup radar: Early stage tech companies making moves in Seattle – GeekWire", "url": "https://www.geekwire.com/2024/startup-spotlight-early-stage-tech-companies-making-moves-in-seattle/", "date": "Oct 25, 2024" }, { "title": "9 startups that stood out on YC Demo Day 2 | TechCrunch", "url": "https://techcrunch.com/2024/09/26/9-startups-that-stood-out-on-yc-demo-day-2/", "date": "Sep 26, 2024" } ], "launches": [ { "id": 83141, "title": "Silurian - Simulate the Earth", "tagline": "Foundation models for simulating Earth, starting with weather. ", "body": "# **The Problem**\n\nEvery day, crucial decisions are made based on outdated geospatial simulations. \n\nInsurance companies guess more than they would like about hurricane risks. Airports can't predict tomorrow's delays, let alone next week's. Meanwhile, utilities are crossing their fingers every heatwave that the grid won't collapse.\n\nEarth’s simulation infrastructure needs an upgrade.\n\n# **The Solution**\n\n![uploaded image](/media/?type=post&id=83141&key=user_uploads/1992622/3f194f0b-cfe1-4af7-a41a-e12d0d081aa7)\n\nToday, [Silurian](https://silurian.ai/) is announcing the launch of GFT (Generative Forecasting Transformer), a 1.5B frontier model that simulates global weather up to 14 days ahead at approximately 11km resolution with unprecedented accuracy. Our model outperforms numerical weather prediction systems from the American (NOAA) and European (ECMWF) agencies by up to 30% across multiple variables. \n\nRemember Hurricane Beryl? In a simulation (shown above) run on the 1st of July, GFT correctly predicted that the hurricane would hit Texas. In contrast, the NOAA and ECMWF models wrongly predicted a landfall in Mexico, as [The New York Times](https://www.nytimes.com/interactive/2024/07/29/science/ai-weather-forecast-hurricane.html) recently reported. \n\nGFT is immediately available to our customers via our **Artificial Planetary Intelligence (API)**. The API allows users to easily query our models at any location on Earth, and it will become publicly available in the next few weeks. \n\n![uploaded image](/media/?type=post&id=83141&key=user_uploads/1992622/aadb6eff-4273-443f-abab-ff9244da3dcf)\n\nGFT is only the beginning. We are working towards state-of-the-art simulation infrastructure for verticals such as energy, climate, and agriculture.\n\n# **Team**\n\nWe are a team of scientists and engineers with years of experience in building large-scale AI simulations at Microsoft Research and Google Brain. Our work on weather and atmospheric chemistry simulations at Microsoft has been featured in [Nature](https://www.nature.com/articles/d41586-024-01677-2), [Bloomberg,](https://www.bloomberg.com/news/articles/2024-06-25/from-trump-to-ai-bill-gates-sees-climate-impacts-for-the-world) and [The Wall Street Journal](https://www.wsj.com/tech/ai/ai-is-learning-to-predict-the-weather-8968fa7c?st=d0o2so2v9r14bf2&reflink=desktopwebshare_permalink).\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXd9eEb9mwTRMRPXQpJ6vkWtFRoUpGCc5sXpXIukdbAGyLsmWCAoqAKCOwXLbWfQZuFuGxg4Mu6qNyRHpIsoRKYlhDbnr8Qx0XCnUl26oa_T2ftzOsL4W3BijCebKj6OXA4oUoXWDnrqjJnqDIvGJz-SP5RL?key=P6HArdzTsIyNOARHbY8cEw)\n\n# **Our Ask**\n\nDo you want to talk about the weather? Reach out to us at [founders@silurian.ai](mailto:founders@silurian.ai)! ", "url": "https://www.ycombinator.com/launches/Lcz-silurian-simulate-the-earth", "votes": 46, "created_at": "2024-08-16T23:09:17.361Z" } ] }, { "id": 29662, "name": "Atum Works", "slug": "atum-works", "former_names": [ "phorg", "ATUM WORKS", "ATUM Works" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/919432869b9d7a01cb7d24ccff7380278318f625.png", "website": "https://atum.works/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Gigascale Nanomanufacturing", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1745346268, "tags": [ "Hard Tech", "3D Printing", "Semiconductors" ], "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/atum-works", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/atum-works.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/atum-works", "x_url": "https://twitter.com/atumworks", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/919432869b9d7a01cb7d24ccff7380278318f625.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": 1884492, "full_name": "Lucas Pabarcius", "title": "Founder/CEO", "founder_bio": ".", "is_active": true, "linkedin_url": "www.linkedin.com/in/lucas-pabarcius-ba3595167", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0884df112dcac548a238f88c861cec72db25ca32.jpg" }, { "user_id": 1975891, "full_name": "Matteo Kimura", "title": "Founder/CRO", "founder_bio": ".", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matteo-kimura-90879318b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e889b9ac0bec382d4d511226cf89459d675ae771.jpg" }, { "user_id": 1884437, "full_name": "Malcolm Tisdale", "title": "Founder/COO", "founder_bio": ".", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/malcolm-tisdale", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3589b15041b76034e67feec70fa57fba14af2c76.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 89753, "title": "Atum Works", "tagline": "3D Lithography Foundry", "body": "\n\n**Problem**\n\n“For the past 50 years, semiconductor-technology development has felt like walking inside a tunnel. The road ahead was clear, as there was a well-defined path. And everyone knew what needed to be done: shrink the transistor. Now, we have reached the end of the tunnel.\"\\\nH.-S. Philip Wong, Chief Scientist, TSMC, 2024.\n\nToday’s 2D lithography has hit a fundamental wall in feature density, so the semiconductor industry has begun stacking 2D layers to fit more transistors, bits, and bandwidth on each chip. \\\n\\\nBut stacking scales cost exponentially with density, unlike the constant cost days of Moore: a 10-layer high bandwidth memory (HBM) package is \\~5x more expensive than the same amount of un-stacked DRAM.\n\n**Solution**\n\nUsing a 3D process to make today's increasingly 3D integrated circuits could shortcut this problem, scaling process complexity with materials rather than layers and enabling the next decade of continued progress.\n\nOur 3D lithography technology can do this: it is capable of fabricating multi-material 3D structures with 100 nm resolution at wafer scale.\n\nWhere the ability to create more complex forms enables more complex functions, such granular control of matter enables the future of much more than just chips, including biotech, sensing, and advanced materials.\n\nWe recently crossed the cost thresholds that make this technology commercially viable. We will be driving an exponential scaling law in the production capacity of this technology over the coming decade.\n\n**Team**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcMsUlRx_bo7xJvNWmZaC-39OI7Hknw0Y65Er2tjyUh54Sd4--EgCih-wQzZojhTUdUgn2OqKfPxVzmnfqnJGprg2qacYS56K-eYqnSh_n3uz75XB9uyCslMaxReWdNHhKkcVHF?key=cch75ExUod4AOIuWU2xY6A)\n\nWe’re a team of physicists and systems engineers from Caltech and NASA, where we previously matured multiple nascent technologies, winning NASA’s Most Visionary Concept and Best Product Development awards.\\\n\\\n**Advisory Board**\\\nDr. H.-S. Philip Wong: Chief Scientist, TSMC
\\\nDr. Eli Yablonovitch: Director Emeritus of the NSF Center for Energy Efficient Electronics Science (E3S)\\\nDr. Julia Greer: Director, Caltech Kavli Nanoscience Institute
 
\\\nDr. Michael Hochberg: Silicon Photonics Pioneer
\\\nDr. Pooya Tadayon: Intel Fellow
", "url": "https://www.ycombinator.com/launches/NLd-atum-works", "votes": 87, "created_at": "2025-04-22T18:46:21.407Z" } ] }, { "id": 29663, "name": "NetworkOcean", "slug": "networkocean", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4ea43063c4846025feacfa937099e20519f804c8.png", "website": "https://networkocean.io/", "all_locations": "San Francisco, CA, USA", "long_description": "We build floating solar data centers to reduce time-to-first-power by 10x. We powered an H100 in the bay, from a paper sketch to serving a customer within 60 days.", "one_liner": "We build floating solar data centers", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1722891266, "tags": [ "Hard Tech", "Hardware", "Cloud Computing", "ClimateTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Climate" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/networkocean", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/networkocean.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/networkocean/", "x_url": "https://x.com/Network_Ocean_", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4ea43063c4846025feacfa937099e20519f804c8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 433820, "full_name": "Sam Mendel", "title": "Founder/CEO", "founder_bio": "CEO, Co-founder of NetworkOcean", "is_active": true, "linkedin_url": "https://linkedin.com/in/sammendel2000", "x_url": "https://twitter.com/sammendel00", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3ffd57db8a32e8d41deb62d4d891781f6f30cac4.jpg" }, { "user_id": 1647914, "full_name": "Eric Kim", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO building floating data centers @ NetworkOcean. \nBackground in Physics and CS, with a focus on ML and renewable energy.", "is_active": true, "linkedin_url": "https://linkedin.com/in/yekime", "x_url": "https://x.com/yekime", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a9d4ec17a3c6b3ee6a548d96dcaf4f73cdef3ec7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 117462, "title": "NetworkOcean: Floating solar data centers", "tagline": "We build floating solar data centers to cut time-to-power by 10x", "body": "### **TLDR:**\n\nFloating solar will soon be the fastest, most sustainable way to deploy data centers. Bypass interconnection queues, HV equipment delays, turbine backlogs, and public moratoriums. Our 2030 target is 1 GW/wk.\n\n#### Launch video:\n\n\n\n#### Whitepaper:\n\n\n\nSolar is already at 700 GW/yr scale. Solar is the only technology that can match AGI timelines. \n\n![uploaded image](/media/?type=post&id=117462&key=user_uploads/1647914/857054e6-c943-465f-83b4-7aaff5634538)\n\nLast week, NetworkOcean made history as the 1st to run a customer AI workload from the ocean, powered by solar.\\\n\\\nWe went from paper to deployed in the water in 53 days.\n\n#### Asks:\n\nShare the launch on X: \n\nAnd on LinkedIn: \n\nAnd share the NetworkOcean showcase tomorrow (9/29/26) to relevant investors and founders:\n\n\n\nEdit (10/1/26): Thanks for showing up to the event! \n\n![uploaded image](/media/?type=post&id=117462&key=user_uploads/1647914/d2459e60-8728-46d1-98b6-73fef3e1a4c6)\n\n![uploaded image](/media/?type=post&id=117462&key=user_uploads/1647914/a391fac0-bbf2-4b4e-95d1-a8c46025b29b)\n\n![uploaded image](/media/?type=post&id=117462&key=user_uploads/1647914/85da9b24-7615-400f-b953-692ef3c8b1f5)\n\n_ad mare_\n\n[_founders@networkocean.io_](mailto:founders@networkocean.io)", "url": "https://www.ycombinator.com/launches/UYY-networkocean-floating-solar-data-centers", "votes": 158, "created_at": "2026-09-30T00:24:09.713Z" }, { "id": 83094, "title": "NetworkOcean - Underwater data centers", "tagline": "We build underwater data centers to cut power usage by up to 30%", "body": "### We are now building floating solar data centers. \nNew launch:\nhttps://www.ycombinator.com/launches/UYY-networkocean-floating-solar-data-centers\n\n\nOld launch:\n# **TLDR:**\n\nOur underwater data centers eliminate water consumption and reduce power usage by up to 30% through efficient cooling, creating **more capital-efficient and sustainable AI infrastructure.** \n\n**✴️ We have 2,048 low priced H100s you can reserve **[**_now_**](http://networkocean.io/)**_._**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcZNMjB36smeVmqCdg-o97CvLCbxdtHyni1mK4PoLdGtaLXh06mxoJUueWBB2ic7_btx6EYnyZjYJ7s-sCmWImuXkajXUO60gRL2k-O2VIM7aDIgr7pvTCaQgwdLYpwWk_udq3VPt9_7YbYB8iOb18jh7uV?key=MO98a9JpAng3q9fJmJYqcg)\n\n_Our 0.5 MW capsule in progress, to be tested underwater in the SF Bay in 1 month._\n\n# **Problem:**\n\nBy 2030, we’re projected to see:\n\n* $1T+ spent building data centers\n* 1T+ gal/yr consumed by data centers\n* 800+ TWh/yr by US data centers\n\n**💵 Cost:**\n\nBuilding a data center costs $10-20 million per MW of power capacity. 2/3rd of this cost is land, building, and cooling infrastructure. A GW facility requires a staggering $10-20 billion investment before purchasing any servers or switches.\n\n**🔌 Power:** \n\nPower capacity is the primary constraint in building new data centers. Real estate with high-power infrastructure and power availability is extremely high in demand.\n\n**💧 Water:**\n\nSince water usage doesn’t affect net-zero carbon goals, most hyperscalers prioritize energy efficiency by using water-intensive evaporative cooling systems. This approach is facing scrutiny, as evidenced by [Google's recent permit](https://www.reuters.com/world/americas/chile-partially-pulls-google-data-center-permit-seeks-tougher-environmental-2024-02-27/) issues in Chile. \n\n# **Solution: 🌊**\n\n**Underwater data centers.** \n\n1. They’re cheaper to build than on-land data centers, significantly reducing costs in land, building, and cooling infrastructure. \n2. They’re also cheaper to operate, with up to 30% lower power consumption and no water consumption.\n\n \n\nOther benefits: \n\n* Co-location with offshore power\n* Speed to deployment\n* [1/8th](https://natick.research.microsoft.com/) Hardware failure rate\n* Low latency to coastal cities (<2ms to all of SF from the Bay)\n\n**Have others tried this?**\n\n[Microsoft, 2016](https://natick.research.microsoft.com/): was the first to experiment with underwater data centers. They built a proof-of-concept capsule that showcased promising efficiency metrics. Despite this, the project remained a research testbed, with limited investment in underwater infrastructure, maintenance operations, and scaled deployments. Microsoft has [officially retired](https://www.datacenterdynamics.com/en/news/microsoft-confirms-project-natick-underwater-data-center-is-no-more/) the project and is focused on expanding their existing on-land data centers.\n\n[China moving ahead](https://www.datacenterdynamics.com/en/news/china-deploys-1400-ton-commercial-underwater-data-center/): since Microsoft’s Project Natick, Highlander was awarded an $880M contract to build 100 data center capsules around Chinese port islands.\n\n**Team:**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfAwb2H9E-6BWAIJYVyJGPhF9OyzSH1nggJFj_GHMHJH00EvwbnxMioApVY6CLejRHT7McsVvhSF8Q3KAK9TDivKfuFsqqJpn9p92DW6Fr16h6ThEcRmkGVex_WN-pnPwGmOd5DpvOpEIWl6y23boXBTaM?key=MO98a9JpAng3q9fJmJYqcg)\n\n[_Sam Mendel_](https://linkedin.com/in/sammendel2000) _and _[_Eric Kim_](https://linkedin.com/in/yekime)_, co-founders of **NetworkOcean**_\n\nSam and Eric met through robotics in 9th grade and worked together building underwater MHD generators throughout high school. Eric has patented a renewable energy device and developed various CV and LLM applications at Cornell, Merge, and Palantir. Sam, to fund his ocean tech ambitions, built various startups and hardware projects, most recently exiting a hiring marketplace for creators. A year ago, he built and deployed a floating web server that hosted our site in a port in the bay. \n\n### **Asks:**\n\nAs of this launch, **we have 2,048 H100s available NOW.**\n\n[Reserve 1-2,048 H100s](http://networkocean.io), minimum 1 week reserved, ≤ $2.10 / GPU / hr\n\nWe can operate GPUs cheaper than anyone else, but we will be constrained by capacity. If you know you will have future needs, please let us know soon, and we'll work to get you your GPUs!\n\n**_Ad mare -_** [_Founders@NetworkOcean.io_](mailto:Founders@NetworkOcean.io)", "url": "https://www.ycombinator.com/launches/LcE-networkocean-underwater-data-centers", "votes": 247, "created_at": "2024-08-15T17:56:53.858Z" } ] }, { "id": 29667, "name": "Rewbi", "slug": "rewbi", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/05452330a078be465b5353a9b54ad87966552d0b.png", "website": "https://www.rewbi.com/", "all_locations": "San Francisco, CA, USA", "long_description": "A stealth mode startup.", "one_liner": "A stealth mode startup.", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1724874761, "tags": [ "B2B", "Energy", "Renewable Energy", "Cloud Computing", "ClimateTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rewbi", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/rewbi.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rewbi", "x_url": "https://x.com/rewbienergy", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/05452330a078be465b5353a9b54ad87966552d0b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 600101, "full_name": "Thomas Marge", "title": "Founder/CEO", "founder_bio": "Thomas is co-founder and CEO of Rewbi, which uses AI to optimize grid-connected battery storage. He previously founded inBalance, a YC W21 company, which was acquired by Stem (NYSE: STEM) in January of 2023. He led battery storage optimization and forecasting for Stem. He completed part of a Pure Mathematics PhD at University of Cambridge, which he left to build inBalance. He holds a Masters in Applied Mathematics and B.S.E. in Pure and Applied Mathematics from Johns Hopkins, graduating early.", "is_active": true, "linkedin_url": "https://linkedin.com/in/thomas-marge", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e928aa8f09dd229ceedcffa08968ba2649d89e7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83622, "title": "Rewbi - Using AI to optimize grid-connected battery storage", "tagline": "Rewbi more than doubles grid-connected battery storage revenue.", "body": "**We’re Rewbi!**\n\n**Rewbi uses AI to optimize grid-connected battery storage.** We generate revenue by charging batteries when electricity is cheap and discharging when electricity is expensive.\n\nWe rent battery storage for a fixed fee per month, and we earn **more than double** that fee in monthly revenue by dispatching the battery optimally.\n\nToday, power companies use human traders to manually track grid conditions and update the battery’s dispatch schedule. However, batteries can adjust their power output **100x faster** than traditional power generation (e.g., hydro, coal, nuclear, gas), with the ability to go from full-speed charging to full-speed discharging in under a minute. **Electricity prices change every 5 minutes, often by 300% or more.** Our AI better tracks 100s of live inputs, and it makes decisions faster than a human operator (with lower overhead), **more than doubling revenue**.\n\nSince starting YC, we’ve joined ERCOT (the Texas grid operator) as a registered power company.\n\n**Our Team**\n\n[Thomas](https://linkedin.com/in/thomas-marge) has built battery dispatch (and wind farm optimization) solutions for the past 8 years, including as founder of inBalance (YCW21, acquired by Stem, Inc. in January of 2023). [Derek](https://linkedin.com/in/derekmod) wrote his first commodity trading and risk management algorithm for a fund when he was 18, and he was the first technical hire at Adept - his models were used to raise over $400m. We’ve known each other for a decade - we met working together on grad level math courses as freshmen at Hopkins.\n\n**Asks**\n\nWe would love to speak with battery storage developers - message us at or email us at [founders@rewbi.com](mailto:founders@rewbi.com)!\n\n![uploaded image](/media/?type=post&id=83622&key=user_uploads/89898/0f214291-26b7-4259-a61d-55904a9d8616)\n\n![uploaded image](/media/?type=post&id=83622&key=user_uploads/89898/503ce453-7532-40ea-b307-9e0f0c5827b3)\n\n", "url": "https://www.ycombinator.com/launches/Lkk-rewbi-using-ai-to-optimize-grid-connected-battery-storage", "votes": 26, "created_at": "2024-08-30T16:53:42.510Z" } ] }, { "id": 29680, "name": "Ares Industries", "slug": "ares-industries", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c1bb6e6d5b88de1027f26cd87fddd83304d2d58e.png", "website": "https://aresindustries.com", "all_locations": "Los Angeles, CA, USA", "long_description": "", "one_liner": "Building low-cost cruise missiles ", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1724193978, "tags": [ "Aerospace", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ares-industries", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/ares-industries.json", "year_founded": 2024, "city": "Los Angeles", "country": "US", "linkedin_url": "https://linkedin.com/company/aresindustries", "x_url": "https://x.com/ares_industries", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c1bb6e6d5b88de1027f26cd87fddd83304d2d58e.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": 1087615, "full_name": "Alex Tseng", "title": "Founder/CEO", "founder_bio": "Missiles are cool", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alextseng1/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9d615e35e13fda89fe1eba4508c31bd3b01f6103.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83257, "title": "Ares Industries - Building low-cost cruise missiles 🚀", "tagline": "We're building a $3M missile for $300k.", "body": "![uploaded image](/media/?type=post&id=83257&key=user_uploads/1087615/dea0086b-00cd-4322-b4ba-d670c17a85f8)\n\nHello, we’re Alex and Devan, and we’re building the low-cost cruise missiles the United States needs!\n\n**What we’re building**\n\nAres is building a new class of anti-ship cruise missiles. We are going to deliver the capabilities that the DoD wants in a form factor that’s 10x smaller and 10x cheaper.\n\nOur missiles will be compatible with existing launch platforms, deliver smaller payloads at high subsonic speeds, and take out ships hundreds of miles away. We’re focusing on ground and ship-launched variants to start but will expand into air-launched versions, as well as versions with extended ranges and different payloads.\n\n**Why we’re doing this**\n\nA war with China in the Taiwan Strait would look nothing like what we've seen in Ukraine or the Middle East. Wargames within DoD and military experts are in agreement that the most useful weapons in such a conflict would be long range anti-ship weapons or cruise missiles.\n\nThe United States is not adequately prepared. In a potential conflict, our stockpiles will run out in weeks, and we currently don’t have the industrial capacity to build at a rate that could win a war, much less deter China. Higher-ups in DoD are waking up to the problem, and generals such as Major General Cameron Holt and officials such as Chairman of the House Select Committee on China Mike Gallagher have echoed this sentiment.\n\nRecent conflicts in the Middle East and Ukraine have shown that our weapons are too large, too expensive for the wars of today. Existing anti-ship cruise missiles are low-volume, multi-million dollar, 3,000 lb behemoths meant to take out large cruisers and destroyers.\n\nBut Chinese shipbuilding capability is far superior to ours, and we can’t make enough anti-ship missiles to counter. In addition, huge missiles aren’t needed to take out the smaller corvettes and frigates that make up the People’s Liberation Army Navy. And $3M missiles make even less sense to take out swarms of $200k small, unmanned surface vessels.\n\nThe DoD needs smaller, less expensive cruise missiles, and lots of them! But no one has delivered on that promise yet.\n\n**How we know how to do this**\n\nBoth of us have worked at multiple defense and munitions startups. [Devan](https://www.linkedin.com/in/devanplantamura) is an Army Psychological Operations and Navy combat veteran and has deep experience in operations and business development at well-funded defense startups. [Alex](https://www.linkedin.com/in/alextseng1/) was the first engineering hire at an earlier missile startup, built autonomous systems at Rivian and Stanford, and worked on turbojets at CSULB.\n\n**Where we’re at now**\n\nWe spent the summer building multiple prototypes and flight-testing them in the Mojave. In 11 weeks, we went from starting the company to flight testing with our own design. We are on track to deliver early working missile systems to our first customers by mid-2025.\n\nWe believe our vision for anti-ship cruise missiles can help fill the munitions gap that the US faces. At Ares, we would never wish for a war to occur. But by helping to rebuild our defense industrial base, we can make sure the United States is prepared to stop a conflict and save countless lives.\n\n**Our Ask**\n\nWe are looking for extremely talented aerospace engineers to help bring our prototypes to fruition. If you know any aerodynamics, propulsion, or GNC engineers who are interested in building something incredibly cool and want to make a positive difference in geopolitics, please send them our way!\n\n![uploaded image](/media/?type=post&id=83257&key=user_uploads/1087615/44076741-cbe9-4762-af9b-84e96db0c32e)\n\n", "url": "https://www.ycombinator.com/launches/Ler-ares-industries-building-low-cost-cruise-missiles", "votes": 75, "created_at": "2024-08-20T23:21:53.587Z" } ] }, { "id": 29692, "name": "Weave Robotics", "slug": "weave-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/656bbbf27cb99ea496ba946f90963d0806212dab.png", "website": "https://www.weaverobotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "Making the world’s first personal robot that's built for the home. Our robot, Isaac, will autonomously tidy up endless messes, fold laundry, and care for your home while you’re away, and we’re shipping our first 30 in fall of 2025.", "one_liner": "Practical and delightful home robots", "team_size": 26, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1724225748, "tags": [], "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/weave-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/weave-robotics.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/weave-robotics", "x_url": "https://x.com/weaverobotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/656bbbf27cb99ea496ba946f90963d0806212dab.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": 718353, "full_name": "Kaan Dogrusoz", "title": "Founder/CEO", "founder_bio": "Co-founder of Weave Robotics (S24)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kaan-dogrusoz-073b748a/", "x_url": "https://twitter.com/kaandogrusoz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/33f264e866a866875d5bacb8ba74a93bc636334e.jpg" }, { "user_id": 725485, "full_name": "Evan Wineland", "title": "Founder", "founder_bio": "Co-founder of Weave Robotics (S24) | Former Lead AI PM at Apple", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ecwineland/", "x_url": "https://twitter.com/alittlemorewine", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/631457fcf48b20e8c68bafd08ad601894c14ab3b.jpg" } ], "jobs": [ { "id": 80340, "title": "Robotics Lab Technician", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/eHgFjkU-robotics-lab-technician", "location": "San Francisco, CA", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$80K - $100K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104351, "title": "Robot Production Manager", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/pWhl1r2-robot-production-manager", "location": "San Francisco, CA", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$90K - $120K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105550, "title": "Robotics Operations Assistant", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/I1HKn6L-robotics-operations-assistant", "location": "San Francisco, CA", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 105551, "title": "System Software Engineer", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/xgfK0NR-system-software-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 105553, "title": "Assembly Technician", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/YRTY6jY-assembly-technician", "location": "San Francisco, CA", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$60K - $85K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 105554, "title": "UI & Interaction Designer", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/tPdYs9a-ui-interaction-designer", "location": "San Francisco, CA", "type": "Full-time", "role": "Design", "role_type": "Web design", "salary_range": "$140K - $190K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 105555, "title": "CNC Machinist", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/XmquG9l-cnc-machinist", "location": "San Francisco, CA", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$80K - $120K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 105556, "title": "Workplace Coordinator", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/UOjG8mB-workplace-coordinator", "location": "San Francisco, CA", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$80K - $110K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 105557, "title": "Embedded Systems Engineer", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/HLYVEWC-embedded-systems-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 105559, "title": "Robotic Systems Engineer (Triage)", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/2nh5diY-robotic-systems-engineer-triage", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 105560, "title": "3D Perception & SLAM Engineer", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/VLLyjjg-3d-perception-slam-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $190K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 105878, "title": "Software Engineer, Applications", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/Cbz0F5A-software-engineer-applications", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 105879, "title": "Software Engineer, Cloud Infrastructure", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/Z4MKRrm-software-engineer-cloud-infrastructure", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 106010, "title": "Senior Security Engineer", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/8n2ZTBb-senior-security-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 113295, "title": "Electrical Engineer", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/HJJ9njM-electrical-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113296, "title": "Mechanical Design Engineer, Mechanisms", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/p7U5emV-mechanical-design-engineer-mechanisms", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113297, "title": "Mechanical Design Engineer, Actuators", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/4TvYCR1-mechanical-design-engineer-actuators", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - 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$180K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113301, "title": "Principal Robotics Software Engineer", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/s5aFd66-principal-robotics-software-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 113302, "title": "Systems Software Engineer, Operating Systems", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/c1X3fC8-systems-software-engineer-operating-systems", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113303, "title": "Robotics Software Engineer, Actuator Firmware", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/5R3IdG8-robotics-software-engineer-actuator-firmware", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $180K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113304, "title": "Robotics Software Engineer, Controls", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/MBM4vz1-robotics-software-engineer-controls", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $190K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113305, "title": "Robotics Software Engineer, Simulation", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/XRL9B7H-robotics-software-engineer-simulation", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $180K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113306, "title": "Robotics Research Engineer, Teleoperation", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/R0sj2Rf-robotics-research-engineer-teleoperation", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113307, "title": "Electrical Engineer, Motor Controllers", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/8Kuyit2-electrical-engineer-motor-controllers", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113308, "title": "Marketing Lead", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/xbk0IKL-marketing-lead", "location": "San Francisco, CA", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 113309, "title": "ML Research Scientist, Robot Learning", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/M4ptUxw-ml-research-scientist-robot-learning", "location": "San Francisco, CA", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$180K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113310, "title": "Senior Security Engineer", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/PM6haQS-senior-security-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 113311, "title": "Mechatronics Engineer", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/sw7JHXx-mechatronics-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113312, "title": "ML Research Engineer, Training", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/q6hk8wb-ml-research-engineer-training", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113313, "title": "Robotics Systems Engineer, Triage", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/IF1cpyN-robotics-systems-engineer-triage", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113314, "title": "Software Engineer, Cloud Infrastructure", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/5uselwk-software-engineer-cloud-infrastructure", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113315, "title": "UI & Interaction Designer", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/JYLVrMh-ui-interaction-designer", "location": "San Francisco, CA", "type": "Full-time", "role": "Design", "role_type": "Web design", "salary_range": "$140K - $190K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113316, "title": "ML Research Engineer, Data", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/jXlVhXY-ml-research-engineer-data", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113317, "title": "Software Engineer, Applications", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/7Yy29iW-software-engineer-applications", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113318, "title": "Electrical Engineer, Power", "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/ZZyiOyV-electrical-engineer-power", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $210K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 83807, "title": "Weave - Making the first personal robot built for the home", "tagline": "We're making Isaac, the first personal robot built for the home—and it's shipping soon.", "body": "We’re [Evan](https://x.com/alittlemorewine) and [Kaan](https://x.com/kaandogrusoz), the team behind [Weave](https://www.weaverobots.com) and [Isaac](https://youtu.be/ck_r-v-M3ug)!\n\n# **What’s the problem?**\n\nThe average American spends 3.5 years of their life on housework (cleaning, maintenance, laundry) that they don’t want to do.¹ Our customers (and everyone else we’ve spoken to) want to reclaim that time for themselves and their loved ones. Robots that automate this mundane, repetitive work won’t just finally mean that we’re living like the Jetsons; they’ll mean people get months or years of their lives back. \n\nIn order to do much of that work, they have to have a general-purpose design; they have to be capable (i.e., of manipulation across a long tail of tasks), and they have to be safe.\n\n# **We’re building Isaac to help**\n\n[Weave’s](http://www.weaverobots.com/) first robot, Isaac, is the first and only personal robot that meets these requirements for the home and is shipping soon. Isaac will tidy up endless messes, fold laundry, and care for your home while you’re away, and we’re shipping in the fall of 2025.\n\nIsaac acts autonomously when it’s given a voice or text command, or in response to an automation that’s programmed in our app.  When Isaac isn't needed, its camera folds and turns off, its torso lowers, and it stows in the enclosure that's included with every order.\n\nAnd with Remote Op, users can request that Weave remotely operate their Isaac for a task it can't yet do autonomously.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdou6fZiBlaqLmPZYaHiO8XoV04y8uE_d63ixNrHW2DW_ecQE4i85ub48GDjex5uFYtwIFpSLJcAmVkuQgn7wV5ykNOeF1Ap9rFfRM4z7DPPSZX5c5W0bjIdvOBFu4Vsmon7ll0GO4hYZWvhGlJu1k_B3Mf?key=72VQXwH9xmVDPgNNMBwk-g)\n\n_Collecting data with our first prototype_\n\n# **What we’ve already built**\n\nIn two months, we’ve already:\n\n* assembled our first data collection system and prototype\n* trained Isaac's planner and VLA, combined them with a VLM in our ML pipeline\n* had Isaac autonomously complete its first tasks\n* got our first reservations for Isaac\n\n![uploaded image](/media/?type=post&id=83807&key=user_uploads/725485/9cd72f04-200e-4a90-9e3a-6acaae7ce95c)\n\n# **The team**\n\n[Evan](https://x.com/alittlemorewine) and [Kaan](https://x.com/kaandogrusoz) are best friends and roommates dating back to 2015 and their time at Carnegie Mellon. They're both Apple veterans: Evan most recently was a Lead AI PM who worked on Next-Gen Siri (Apple Intelligence). Before that, he shipped private, large-scale knowledge graphs for on-device personalization and marquee features like Communication Safety (child safety) and Focus modes. Kaan most recently was a manager in ML Robotics research, and before that, he was a staff ML researcher who shipped Double Tap on the Apple Watch and a lead embedded engineer on the iPhone who spent way too many weeks in factories debugging prototype hardware.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdh7Wl_gmEBCVc60A-R0cd5PwBWjrBkCF9HKq0gXTL4SYXspgWWIU7oV7dSGFoV7HF2iL0HYchz2hKKVn2CkjQZHJ5_z_2Ji3D3MqQhCy2jEXVf9Dv5c1Hi6JTLYlxw6WPc2vz-MyEKKuA0jYyX-yVXmlqc?key=Q5Sj2zozjy8LlCfDX-_V6w)\n\n### **Our asks**\n\nIf you know anyone who would be interested in having their own Isaac, have them check out our [website](http://weaverobots.com/), where they can now reserve one directly!  Each Isaac costs $1000 to reserve and nothing more until we deliver in the fall of 2025.  \n\n\\\nWe’re also happy to talk to interested folks in more detail; reach us at [founders@weaverobots.com](mailto:founders@weaverobots.com).\n\n![uploaded image](/media/?type=post&id=83807&key=user_uploads/89898/27f17550-54e6-45f3-a7e8-7ce70e2c21d5)\n\n¹ ", "url": "https://www.ycombinator.com/launches/Lnj-weave-making-the-first-personal-robot-built-for-the-home", "votes": 56, "created_at": "2024-09-06T02:18:34.657Z" } ] }, { "id": 29698, "name": "AutoPallet Robotics", "slug": "autopallet-robotics", "former_names": [ "Anteatr Robotics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2f0c4ca0e1ee62abec263fe32fc601c69e08139.png", "website": "https://autopallet.bot", "all_locations": "San Francisco, CA, USA", "long_description": "We’re building the next generation of warehouse robotics.\r\n\r\nIn the US today, retailers spend approximately $10B per year paying human laborers to pick up and move cardboard boxes in warehouses. Existing solutions for automating this are expensive and difficult to install, which is why manual operation is still so prevalent.\r\n\r\nOur solution is different. We make swarms of small mobile robots that install into existing warehouses to provide a low-cost and robust automation solution for case picking and mixed-SKU palletization. Our novel technology allows these robots to be installed and operate at significantly lower cost than existing solutions while being both flexible and robust.", "one_liner": "We make robots that move boxes in warehouses", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1723496700, "tags": [ "Hard Tech", "Machine Learning", "Warehouse Management Tech", "Swarm Robotics", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Eric and Nathan met at Olin College, where they worked on 15 group projects together. " } ], "url": "https://www.ycombinator.com/companies/autopallet-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/autopallet-robotics.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/autopallet-robotics/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/AutoPallet/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2f0c4ca0e1ee62abec263fe32fc601c69e08139.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 242906, "full_name": "Nathan Yee", "title": "Founder/CEO", "founder_bio": "Nathan is the co-founder and COO of AutoPallet Robotics.\n\nAt 18, he graduated as the valedictorian of College of Alameda and then studied Engineering with Computing at Olin College where he met Eric. He has since built ML models for MBARI, consulted for the DIU (xView2) and WashU (drug discovery), and built core software for lab automation robotics at Trilobio.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nathanielyee/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6e1472399a54fec10ff193ce2453753f7c5170c4.jpg" }, { "user_id": 1979497, "full_name": "Eric Miller", "title": "Founder/CTO", "founder_bio": "Eric is the co-founder and CEO of AutoPallet Robotics.\n\nAfter graduating from Olin College in 2019, he led the Subject Tracking and Autonomy Infrastructure teams at Skydio, rapidly growing from individual contributor to lead a team of 6 engineers.\n\nEric is a multidisciplinary robotics engineer with significant experience building modern robotics stacks, from hardware and electronics through perception and high-level software.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/olin-eric/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4fa34c4d02dcef337053aafb9f45b11b7a7c2531.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83238, "title": "🤖 AutoPallet Robotics: The future of case picking in warehouses", "tagline": "AutoPallet Robotics uses swarms of hundreds of mobile robots to do case picking in existing warehouses.", "body": "# TL;DR\n\n* AutoPallet Robotics unlocks automated case picking for existing warehouses. Our novel system delivers rapid ROI by leveraging the current infrastructure to deploy swarms of hundreds of small, agile, mobile robots.\n* Want to get in touch? [**connect@autopallet.bot**](mailto:connect@autopallet.bot) or [send us an inquiry](https://forms.gle/YT1XLadSpWaKAa668)\n\n![uploaded image](/media/?type=post&id=83238&key=user_uploads/242906/61c0e05b-c2d2-470a-8248-dcb394bbaeaa)\n\n# The Team\n\n![uploaded image](/media/?type=post&id=83238&key=user_uploads/242906/0e93dfda-da4f-43f2-8170-dcbef1c80b90)\n\n**Nathan and Eric** met at Olin College of Engineering 9 years ago, where they collaborated on over 15 projects.\n\n**COO** - [Nathan](https://www.linkedin.com/in/nathanielyee/) brings four years of experience in machine learning. In his previous position, he worked on robot software and explored heuristic-based and RL-based methods for multi-robot scheduling.\n\n**CEO** - [Eric](https://www.linkedin.com/in/olin-eric/) has extensive experience creating hardware, electronics, and software for modern robotics systems, including five years at Skydio, founding and growing the Autonomy Infrastructure team.\n\n# The Problem\n\n**Case picking for order selecting**, a critical task in the supply chain for grocery stores, retail, and restaurants, remains largely manual in U.S. warehouses. We estimate that **over 30 billion cases** are manually moved between pallets annually, resulting in labor costs exceeding **$10 billion** each year.\n\nCurrent automation solutions are prohibitively expensive and fall into two main categories:\n\n1. **Build a new warehouse** with extensive conveyor belt systems, industrial robot arms, and high-density case storage. Costs range from **$100M to $350M per warehouse**.\n2. **Install large mobile robots** that directly replace humans in existing warehouses at a cost of **$300k to $500k per unit**. This high capital expenditure and long ROI period make them infeasible for many businesses.\n\n## Our Solution Is Fundamentally Different\n\nWe've developed a way to retrofit existing warehouse infrastructure with swarms of affordable, agile robots to automate the order-selecting process. This approach eliminates the need to rebuild warehouses from scratch or invest in expensive large mobile robots. We are designing our system to:\n\n* **Meet or exceed** your current throughput—our robots work in swarms, easily picking tens of thousands of cases per shift.\n* Ensure **resilience** through a decentralized swarm that continues operating even if several robots fail.\n* Optimize **multi-stop deliveries** and create **maximally dense pallets** using an **AI-powered** pallet-building algorithm.\n* Deliver a typical ROI in **less than** **12 months**.\n\n## How You Can Help\n\nWe’re actively seeking **partnerships and collaborations** to propel our mission forward. If you or anyone in your network is interested in exploring opportunities or learning more, we’d love to connect! We’re especially interested in engaging with:\n\n* Retailers and 3PLs operating distribution centers\n* Grocery and Broadline Foodservice Distributors\n\nIf this resonates with you or someone you know, please don’t hesitate to reach out! [**connect@autopallet.bot**](mailto:connect@autopallet.bot) or [send us an inquiry](https://forms.gle/YT1XLadSpWaKAa668)", "url": "https://www.ycombinator.com/launches/LeY-autopallet-robotics-the-future-of-case-picking-in-warehouses", "votes": 27, "created_at": "2024-08-20T18:44:31.152Z" } ] }, { "id": 29701, "name": "Plume", "slug": "plume", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/848a0a716b3d688b2054184d78580f9988c075be.png", "website": "http://www.plumefinder.com", "all_locations": "Paris, Île-de-France, France", "long_description": "Plume is an AI-powered geospatial platform for site selection in energy infrastructure projects. \r\n\r\nSelecting the right sites requires analysis of +50 geospatial, grid, and regulatory constraints across fragmented data sources. \r\n\r\nPlume changes the process by enabling users to interact with geospatial data using natural language.", "one_liner": "Renewable infrastructure deployment at scale.", "team_size": 9, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1724527338, "tags": [ "Solar Power", "B2B", "Energy", "AI", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Climate" ], "regions": [ "France", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/plume", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/plume.json", "year_founded": 2024, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/plumefinder", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/848a0a716b3d688b2054184d78580f9988c075be.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": 1849325, "full_name": "Marc W", "title": "Founder/CEO", "founder_bio": "Accelerating Energy Transition", "is_active": true, "linkedin_url": "", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cc492a3fdcb483089ddfe723e8fdda16d3e44ba3.jpg" }, { "user_id": 1919563, "full_name": "Edouard Labarthe", "title": "Founder/COO", "founder_bio": "Unlocking renewable infrastructure deployment at scale.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edouard-labarthe/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7795c4349c7d79be0ebce201fb21ab49448d0888.jpg" } ], "jobs": [], "news": [ { "title": "[L’acteur de la semaine] « Plume » facilite l’accès des développeurs au foncier – pv magazine France", "url": "https://www.pv-magazine.fr/2025/08/25/lacteur-de-la-semaine-plume-facilite-lacces-des-developpeurs-au-foncier/", "date": "Aug 24, 2025" } ], "launches": [] }, { "id": 29733, "name": "1849 bio", "slug": "1849-bio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a17250c337f8e98ac79079d08da2abffb3b3b6b.png", "website": "https://www.1849.bio", "all_locations": "San Francisco, CA, USA", "long_description": "1849 bio designs microbes enabling cheap metal extraction allowing miners to unlock value from low quality copper and gold ores. Surprisingly, the mining industry is one of the largest scale users of biotech in the world with biomining processes accounting for ~1% of global copper production. Biomining is ultra-low cost, running around ~$1/ton of ore vs ~$7/ton for conventional processes. \r\n\r\nUnfortunately, while biomining is cheap, it can’t be applied to over 80% of copper ores, leaving vast resources without profitable extraction methods. An estimated ~$800B of copper sit today in waste materials and stockpiles with negative unit economics.\r\n\r\nWhile a great deal of effort has been spent on optimizing microbial metal extraction processes, very little effort has been spent on optimizing the microbes themselves. \r\n\r\nTo change that, we’re creating new biotech tools and platforms applied directly to the types of biology most relevant to miners. This enables us to develop new microbes and tackle some of the most difficult problems in biomining, unlocking billions in value from unprofitable resources while being more environmentally friendly than conventional processes.\r\n\r\nWe’re world class microbial engineers. We met while doing our PhDs in synthetic biology, where we spent our time applying and developing the most advanced bioengineering technologies to engineer living cells. ", "one_liner": "Engineering microbes for miners to unlock billions in trapped metal", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1720558135, "tags": [ "Hard Tech", "Synthetic Biology", "Biotech", "Climate", "Mining" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "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/1849-bio", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/1849-bio.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/1849-bio/", "x_url": "https://x.com/1849bio", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a17250c337f8e98ac79079d08da2abffb3b3b6b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 736094, "full_name": "Jai Padmakumar", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of 1849 bio. I get excited working on difficult problems with outsized impacts if you can solve them. I studied Microbiology and Applied Math at the University of Washington before doing my PhD at MIT in a synthetic biology lab. I've spent my time pushing the limits of what’s possible in bioengineering.\n\n1849 is my second startup, the first of which I co-founded during grad school and led the early science at. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/jai-padmakumar", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4e675d7e4a7d57b363b4c651b1e4e87341b92730.jpg" }, { "user_id": 736376, "full_name": "Yongjin Park", "title": "Founder", "founder_bio": "I am the co-founder and CSO of 1849 bio. I studied chemical engineering at KAIST and did my PhD at MIT in the Department of Biological Engineering. During my PhD, I developed core technology used in the world's first engineered probiotic that went into clinical trial. After completing PhD, I worked in deep biotech companies, developing microbial products that were administered to over 6M acres of farmland in the US (about the area of Belgium!).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yongjin-park-6604092a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7a8db85fbc0f4403667b06663061bc5c9c13dc42.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 82014, "title": "1849 bio: Microbes for miners", "tagline": "Optimizing microbes for mining 🧬 ⛏️🪨", "body": "**TL;DR – We’re building microbes for metal extraction, enabling cleaner and cheaper mining of difficult-to-process ores. This will unlock 100M tonnes of copper stranded in ores that are not profitable to mine.** \n\n—\n\nHey all! We’re [Yongjin](https://www.linkedin.com/in/yongjin-park-6604092a/) and [Jai](https://linkedin.com/in/jai-padmakumar), co-founders of [1849 bio](https://www.1849.bio/), a team of genetic engineers developing microbes for metal extraction. We met while doing our PhDs at MIT and have spent the better portion of our adult lives hacking living organisms to do cool/useful tasks.  \n\n![uploaded image](/media/?type=post&id=82014&key=user_uploads/736094/55c73446-daaf-49c2-b6ec-cd654ab4a66e)\n\nNow, we’re on a mission to make the mining industry more sustainable and ensure a stable metal supply for the green energy transition.  \n\n### The Challenge:\n\nThe drive to electrify the world is driving an unprecedented demand for metals like copper, nickel, lithium, and other rare earths. Unfortunately, ramping up metal production is incredibly difficult. Copper is expected to face a \\~20% supply gap by 2031, threatening to slow the rollout of critical technologies like EVs and wind turbines.   \n\nNew mines are difficult to open, taking an average of 16.5 years in the US _after_ a new ore body has been identified. These bodies of metal themselves have become more difficult to identify. After decades of selective mining, **most copper today exists in low grade ores** (ore that contains very little copper), **making economical extraction with conventional methods impossible**.  \n\nApproximately 100M tonnes of copper is trapped in stockpiles and waste materials without any means to profitably extract the metal.  \n\n### The Solution:\n\nBiology! It turns out the mining industry is one of the largest-scale users of biotech in the world. \\~1.2% of copper production in 2019-2020 was done using microbes in a process called “bioleaching.” The basic idea here is to: \n\n1. Stack ore into a giant pile — think miles long and 100s of feet tall. This pile is called a “heap.” \n\n ![uploaded image](/media/?type=post&id=82014&key=user_uploads/736094/146fb0a7-bff6-421f-81e9-41eea8e38d68)\n\n2. Grow a very unique group of organisms that love acid and use both iron in the rocks and CO2 from the air as food sources. This triggers a series of chemical reactions that ultimately separates the solid copper from the ore into a liquid form.\n3. Collect this liquid at the bottom and run a current through it.\n\nThen you have pure copper! \n\nMiners have been using this process for copper extraction for decades (and in some cases, for other metals like gold, nickel, and cobalt). The process is cleaner and \\~7x cheaper than conventional processes. It also produces fewer tailings (mine waste), a growing environmental problem and liability for miners \n\nWhy isn’t this used everywhere? \n\n1. **It doesn’t work for 80% of copper ores**. Owing to some complex chemistry, the dominant copper ore, chalcopyrite, can’t be processed using bioleaching.  \n2. **It’s really slow, narrowing its use cases**. While a conventional process can melt ore down and give you pure copper in an hour, bioleaching operates on a timescale of months to years.\n\nWe’re using our deep background in bioengineering to build platforms and tools specifically for the types of biology miners need. By engineering the microbes themselves, we are introducing a new set of capabilities to the mining industry: \n\n* **Bioleaching solutions that work on difficult-to-process ores**, like chalcopyrite, unlock billions of dollars of value currently trapped in uneconomical materials. \n* **Faster metal extraction timelines**, getting miners their cash faster. \n* **Low CapEx, sustainable metal extraction**. Our solutions fit into existing mine infrastructure and processes.\n\n# Our asks:\n\n1. If you know anyone in the mining industry, we’d love to meet them! \n2. If you know anyone working in the e-waste recycling industry, we’d love to chat with them, too. We can tune our process for e-waste recycling and are looking into applications for that as well.\n\nReach out to [intro@1849.bio](mailto:intro@1849.bio)!", "url": "https://www.ycombinator.com/launches/LKo-1849-bio-microbes-for-miners", "votes": 28, "created_at": "2024-07-17T04:20:31.752Z" } ] }, { "id": 29747, "name": "deepsilicon", "slug": "deepsilicon", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/86bf1a250ebd174788e945f8cb80bbfa5fad5a1c.png", "website": "https://www.deepsilicon.net/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Software and hardware to run neural networks faster and cheaper", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1724647478, "tags": [ "Edge Computing Semiconductors", "Hard Tech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Inactive", "industries": [ "Industrials" ], "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/deepsilicon", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/deepsilicon.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/deepsilicon/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/deepsilicon", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/86bf1a250ebd174788e945f8cb80bbfa5fad5a1c.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": 1269816, "full_name": "Abhinav Reddy", "title": "Founder", "founder_bio": "Computer Science and Electrical Engineering.\nFocused on creating simple software and fast hardware for running neural networks.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/abhinav-reddy-387386262/", "x_url": "https://x.com/abhireddy2004", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/70cc4f7cd720b9b145edb1547c6bc4ce0b5a88d1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83396, "title": "deepsilicon: Running neural nets with 5x less RAM and up to 20x as fast", "tagline": "We’re making hardware to run neural nets with orders of magnitude less latency, energy, and 5x less RAM. Right now, we’re proving it with software.", "body": "![uploaded image](/media/?type=post&id=83396&key=user_uploads/1269816/61292aaf-ce8a-4b34-ac1a-688fe1bc6517)\n\n**👥 The Team**\\\nHi everyone, we’re running deepsilicon!\n\n**📉 The Problem**\\\nTransformer-based models have become increasingly crucial in various industries, from natural language processing to Vision Language Action models for robotics. However, the deployment and operation of these models, particularly those exceeding a few billion parameters, present significant challenges regarding hardware capabilities, energy consumption, and operational costs.\\\nTraditional approaches to this problem typically fall into two categories:\n\n1. Utilize massive, power-hungry GPU clusters to distribute the computational load.\n2. Compromise on model size and capabilities to fit within existing hardware constraints on the edge.\n\nBoth of these approaches have significant drawbacks. GPU clusters are expensive to acquire and operate, with substantial energy costs and complex cooling requirements. They also introduce latency issues due to inter-device communication and can’t be deployed on the edge. On the other hand, compromising on model size can limit the AI's capabilities and potential applications, putting organizations at a competitive disadvantage.\n\n\\\n📈 **The Solution**\\\nWe help eliminate the need for inefficient distributed computing and compromised model capabilities by providing a full-stack system where we run transformer-based models on a single chip, including existing hardware. Our solution can run on a custom ASIC, dramatically reducing power consumption and operational costs.\n\n\n\n\\\n**_Here's why this is a game-changer:_**\n\n* **Immediate Deployment:** Your large-scale AI model can be operational on a single chip, eliminating the need for complex distributed setups. This means you can leverage the full power of multi-billion parameter models right from the start.\n* **Customization:** The chiplet architecture allows for near-infinite customization, enabling hardware/software co-design tailored to specific client needs.\n* **Efficiency:** Even on existing Nvidia hardware, our software provides a 5x reduction in memory usage\n* **Ease of Use:** Developers can switch their linear layer with our optimized version, dramatically simplifying the integration process and democratizing access to large-scale AI capabilities.\n\nIf you’re a YC company, we offer a 50% discount to help you train your model and deploy it on the device or the cloud!\n\n**🙏 How You Can Help**\\\nWe are looking for 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* Robotics, Drone, and Autonomous Vehicle Companies\n* People looking to train their own foundation model\n* Experts in edge AI deployment\n\nIf that’s you or someone you know, please email us at [founders@deepsilicon.net](mailto:founders@deepsilicon.net)!", "url": "https://www.ycombinator.com/launches/Lh6-deepsilicon-running-neural-nets-with-5x-less-ram-and-up-to-20x-as-fast", "votes": 38, "created_at": "2024-08-26T17:39:52.197Z" } ] }, { "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": 29754, "name": "Conductor Quantum", "slug": "conductor-quantum", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f87b0dddb05a92646b51780f21648d12f3019bf.png", "website": "https://www.conductorquantum.com", "all_locations": "San Francisco, CA, USA", "long_description": "Conductor Quantum is building quantum superintelligence: AI that operates quantum computers to make scientific discoveries beyond human reach.\r\n\r\nQuantum computers let us understand the world at its most fundamental level, the path to new drugs, new materials, and discoveries no human can reach alone. \r\n\r\nA quantum computer is the perfect simulator of nature: it encodes the logic of reality into a programmable machine, atom by atom, electron by electron. Give AI that simulator and you open the door to discovery.\r\n\r\nThe bottleneck is operating the hardware. Today, engineers spend days or weeks by hand to bring a chip to operating conditions for just two qubits. A qubit is the information-carrying unit of a quantum computer, the equivalent of a bit in a classical one, and a useful machine needs billions. \r\n\r\nRemoving the human from that loop is only half the problem. Every command an AI sends to a quantum computer must be optimised for the specific hardware it runs on.\r\n\r\nWe build the AI that operates quantum computers and tunes every machine it runs on. That is the path to quantum superintelligence.", "one_liner": "AI that operates quantum computers for scientific discovery", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1718219316, "tags": [ "Hard Tech", "Machine Learning", "Quantum Computing", "Semiconductors", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "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 your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Everyone will have access to a quantum computer from their desk." } ], "url": "https://www.ycombinator.com/companies/conductor-quantum", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/conductor-quantum.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/conductorquantum/", "x_url": "https://twitter.com/conductorquant", "fb_url": null, "cb_url": null, "github_url": "https://github.com/conductorquantum", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f87b0dddb05a92646b51780f21648d12f3019bf.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": 1977732, "full_name": "Brandon Severin", "title": "Founder/CEO", "founder_bio": "Building quantum superintelligence.\n\nDuring my PhD at Oxford, I worked with 4 quantum institutions across the globe (IST Austria, Basel, UNSW, Diraq), developing AI for semiconductor quantum device control and published 4 papers on the topic including one in Nature. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brandon-severin/", "x_url": "https://twitter.com/BrandonSeverin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/87d24eacb09bbfa920e690defd179aa0cfe720b2.jpg" }, { "user_id": 947594, "full_name": "Joel Pendleton", "title": "Founder/CTO", "founder_bio": "Co-founder of Conductor Quantum, building software for quantum computers. I’ve worked at many deep tech startups and research labs, exploring various quantum computing technologies — from carbon nanotubes to superconducting transmon qubits. I left my PhD at Oxford to start Conductor Quantum.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joelpendleton/", "x_url": "https://twitter.com/joelpendleton", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eec48af10146303ada5db62e00483a97d82d86a9.jpg" } ], "jobs": [ { "id": 76007, "title": "Quantum Engineer (Spin)", "url": "https://www.ycombinator.com/companies/conductor-quantum/jobs/mvfbgvb-quantum-engineer-spin", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$120K - $180K", "equity_range": "0.25% - 1.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Design systems" ] }, { "id": 90538, "title": "Quantum Engineer (Superconducting)", "url": "https://www.ycombinator.com/companies/conductor-quantum/jobs/Gcnhe4e-quantum-engineer-superconducting", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$120K - $180K", "equity_range": "0.25% - 1.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python" ] }, { "id": 92445, "title": "AI Systems Engineer", "url": "https://www.ycombinator.com/companies/conductor-quantum/jobs/bVWYarJ-ai-systems-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $180K", "equity_range": "0.25% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Microsoft Azure", "Google Cloud", "Python", "Redis", "Machine Learning", "Reinforcement learning (RL)", "Design systems", "Next.js", "FPGAs" ] }, { "id": 102431, "title": "Quantum Engineer (Neutral Atom)", "url": "https://www.ycombinator.com/companies/conductor-quantum/jobs/SjZPBMm-quantum-engineer-neutral-atom", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$120K - $180K", "equity_range": "0.25% - 1.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python" ] }, { "id": 102432, "title": "Quantum Engineer (Ion Trap)", "url": "https://www.ycombinator.com/companies/conductor-quantum/jobs/eV4F5ew-quantum-engineer-ion-trap", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$120K - $180K", "equity_range": "0.25% - 1.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python" ] }, { "id": 103103, "title": "Executive Assistant / Lab Operations Manager", "url": "https://www.ycombinator.com/companies/conductor-quantum/jobs/1vOd00H-executive-assistant-lab-operations-manager", "location": "Albuquerque, NM, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$55K - $75K", "equity_range": "0.05% - 0.15%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Python" ] }, { "id": 104396, "title": "AI Systems Engineer (NM)", "url": "https://www.ycombinator.com/companies/conductor-quantum/jobs/OjWoAtF-ai-systems-engineer-nm", "location": "Albuquerque, NM, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$75K - $125K", "equity_range": "0.25% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 97009, "title": "Coda — Natural language quantum computing", "tagline": "Describe your problem and execute it on real quantum computers.", "body": "![uploaded image](/media/?type=post&id=97009&key=user_uploads/1977732/6b78d7ee-645f-420a-8e65-86a4e4da0982)\n\n**_TL;DR Quantum computing will not scale if every program is a hand-written circuit. The future is describing what you want a quantum computer to do and letting the system handle the rest._**\n\nHi - We are Brandon and Joel from Conductor Quantum.\n\nWe’re announcing Coda - our natural language interface for quantum computing.\n\nQuantum computers offer a new computing paradigm for simulating the world at the atomic level. This opens up new possibilities in chemistry, materials science, and drug discovery that push beyond what the largest classical supercomputers can handle.\n\n## Problem\n\nUsing quantum computers today requires deep domain expertise and low-level tooling.\n\n## Solution\n\n\n\nType your problem into a box, Coda builds the quantum circuit, verifies the code and runs it on current state-of-the-art quantum computers.\n\nIf you’re completely new to quantum, we’ve included a learn mode to get you started. One of the first quantum computers we’re offering on our platform is [Rigetti’s (S14)](https://www.ycombinator.com/companies/rigetti-computing) 84-qubit quantum computer. We also support simulations up to 34 qubits supported by NVIDIA cu-Quantum.\n\n## Why?\n\nWe’re building Coda because we want everyone to be able to access a quantum computer from their desk, as soon as possible.\n\n## What we’ve achieved so far\n\n* Built the first API for low-level silicon quantum chip control.\n* Partnered with quantum chip maker SemiQon and ran our software across 64 of their quantum devices.\n* Shipped quantum control software for companies including Quobly and EeroQ.\n\n## What’s next?\n\n* End-to-end GPU + QPU orchestration, so classical and quantum computation work together in a single workflow.\n* Connecting Coda to our lower-level quantum control and tune-up software, closing the loop from high-level intent to device-level execution.\n* Pushing our control software to larger numbers of qubits as hardware scales.\n\n## Team\n\n![uploaded image](/media/?type=post&id=97009&key=user_uploads/1977732/fca09063-084c-4734-b9ec-0edde6ec9dd3)\n\n[Brandon](https://www.linkedin.com/in/brandon-severin/), CEO, Previously a postdoc at Oxford, with multiple Nature journal publications on silicon quantum computing. Developed early AI systems for automated qubit formation. PhD, Oxford.\n\n[Joel](https://www.linkedin.com/in/joelpendleton/), CTO, Built machine-learning–based control software for superconducting qubits at QuantrolOx, with prior roles at Quantum Motion and C12. MSc Physics, UCL. Left machine learning and quantum computing PhD at Oxford to start Conductor.\n\n[Raymond](https://www.linkedin.com/in/raymond-jow-190654145/), Founding Engineer, Former SpaceX guidance, navigation, and control software engineer whose code flew on 100+ Falcon 9 missions. Previously worked on robotics at NASA and quantum machine learning at Cornell. BS Physics and Computer Science, Harvard.\n\n## Asks\n\n* Join our team. We’re looking for hardcore full-stack quantum engineers who want to work across the entire stack - from device fabrication, fridge wiring to qubit operation. As well as engineers focused on quantum algorithms and applications.\n* Intros to companies based on hard science - think pharma, biotech, materials, chemistry, engineering who are interested in leveraging quantum computing in their workflows.\n* Email us at [founders@conductorquantum.com](mailto:founders@conductorquantum.com) \n* Try Coda here: [https://coda.conductorquantum.com/](https://coda.conductorquantum.com/login)", "url": "https://www.ycombinator.com/launches/PEf-coda-natural-language-quantum-computing", "votes": 10, "created_at": "2026-01-21T17:45:59.744Z" }, { "id": 83306, "title": "Conductor Quantum - Quantum computers on silicon chips using AI", "tagline": "Our AI software creates qubits 1000x faster than current methods.", "body": "**Tl;dr:**\n\n* [Conductor Quantum](https://www.conductorquantum.com) is using **AI software** to **create qubits** in **semiconductor chips** to **build quantum computers** at scale.\n* The two founders met during their **PhDs at Oxford**. They have experience at 5 quantum companies and institutions, plus 4 publications between them.\n* Conductor Quantum is launching **the first publicly available API** to **classify quantum transport features in semiconductors**.\n\n# **🧑‍🔬🧑‍💻The Team**\n\nHi - We are Brandon and Joel! We are building Conductor Quantum.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdZn6_SJC2SQu80WOKYWfJsFE9MCQt2R9PXG6mXNMb3co5B6iBYNZ7ckJ8i8Mgd01fTALt1oZeeLzN19Lc68mTVIqnZZZeJjPQVt_I6ilRcz1m8J-WB-L3xn-zcN4Hci1MBDC6UggpvjN13o_5EMAk3hCWM?key=M7s5FyBBuze--OVSs9y0AQ)\n\nCEO, [Brandon](https://www.linkedin.com/in/brandon-severin/) – Brandon developed **_AI for Quantum Computing in Silicon_** during his **PhD** at **Oxford**. Over the past four years, Brandon has worked with four top quantum research institutions on **software for quantum device control** and has **four publications**, including one in **Nature**.\n\nCTO, [Joel](https://www.linkedin.com/in/joelpendleton/) – Joel has shipped software at **four deep tech companies** and has worked with a series of quantum devices ranging from **carbon nanotubes to superconducting circuits**. Joel studied **Physics at UCL** and **dropped out of his PhD** at **Oxford** to start Conductor Quantum.\n\nDuring Joel’s PhD at **Oxford**, he launched Feynman.ai— an AI science research assistant— with Brandon, which they bootstrapped to **300 signups within a month** of launch.\n\n# **😯 The Problem**\n\n* **Quantum computers** will **revolutionize drug discovery** and **material development** as we will, for the first time, be able to accurately **simulate nature at its most fundamental level**.\n* Leveraging the **trillion-dollar semiconductor** industry, silicon chips offer a **scalable architecture** for building quantum computers.\n\n→ Currently, quantum engineers **spend days, sometimes weeks,** manually configuring silicon chips to **create a single quantum bit (qubit)**, analogous to a bit in a classical computer.\n\n**→ We need millions, if not billions, of qubits** to make a **useful quantum computer.**\n\nAutomation software to create qubits at scale is vital to realize this goal.\n\n# **✅ Our Solution - AI software to create qubits**\n\n* We are building **leading AI software** that creates qubits by **learning and understanding the principles of quantum transport** in semiconductor chips.\n* Our AI software will **replace the human** in the loop, **unlocking rapid qubit generation** and **fabrication feedback iteration cycles**.\n* Automatic qubit creation and control are the foundation of **the first quantum operating system** on **semiconductor chips**.\n\n[Our AI Playground](https://youtu.be/FBeTFudh-Jc)\n\n# **🤝 How You Can Help**\n\n* Sign up for our [**waitlist**](https://www.conductorquantum.com) (Announcements soon!)\n* Quantum engineers who want to get back to building and save themselves 100s of hours per qubit created - Email us at [founders@conductorquantum.com](mailto:founders@conductorquantum.com)\n* We’d love intros to:\n * Chip designers/verifiers/manufacturers\n * Anyone who wants to **bring chip manufacturing back to the USA**", "url": "https://www.ycombinator.com/launches/Lfe-conductor-quantum-quantum-computers-on-silicon-chips-using-ai", "votes": 100, "created_at": "2024-08-22T17:05:04.031Z" } ] }, { "id": 29763, "name": "Piggy Robotics", "slug": "piggy-robotics", "former_names": [ "RigManic" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bb8bcc76da3e91c1a436eea5e5eec4075f3deb89.png", "website": "https://piggyrobotics.com", "all_locations": "London, England, United Kingdom", "long_description": "We build humanoid robots that do your chores at iPhone prices. Just like the millions of cars generating data for self-driving, we need millions of humanoids generating real-world data for general-purpose robotics. Humanoid companies today can only manufacture hundreds a year because motors are expensive and slow to assemble. We use artificial muscles. Each muscle is just a tube wrapped in braided fibre, and the whole robot is powered by a single pump — which means we can mass-produce humanoids by the millions. Our design is built for that scale from day one and is cheap enough to enter billions of homes.", "one_liner": "Humanoid robots that do your chores for the price of an iPhone!", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1756389316, "tags": [ "Smart Home Assistants", "Robotics", "AI", "Home Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/piggy-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/piggy-robotics.json", "year_founded": 2024, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/piggy-robotics/", "x_url": "https://x.com/PiggyRobotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bb8bcc76da3e91c1a436eea5e5eec4075f3deb89.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": 1476712, "full_name": "Richard Gong", "title": "Founder/CEO", "founder_bio": "Dropped out of medicine at Oxford to build humanoid robots for the home.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/richard-g-15852b22b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/81c7dc84e57f6a45dd2d098072df6cdf5c873de1.jpg" }, { "user_id": 3244838, "full_name": "Chenny (Qianyi) Deng", "title": "Founder", "founder_bio": "Founder @ Piggy Robotics (YC F25) ｜ PhD Candidate in Computer Science @ the University of Oxford ｜ Ex-Tencent AI researcher ｜ Founded the largest laser-tag arena in my city at age 13", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/qianyi-deng/", "x_url": "https://x.com/Chenny_Deng33", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e7b598f4ae3dd0f4dd4988e9c3e4e0bdb0fc577f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95684, "title": "Piggy Robotics - Humanoid robots", "tagline": "We built a mass-producible humanoid robot for less than $1000 in 2 months.", "body": "Hello! We’re [Richard ](https://www.linkedin.com/in/richard-g-15852b22b)and [Chenny](https://www.linkedin.com/in/qianyi-deng/), founders of Piggy Robotics. We build mass-producible humanoid robots that do your chores at iPhone prices.\n\nBelow is why our architecture is uniquely positioned to win the humanoid race:\n\n1\\. We built a **full-size**, **mass-producible** humanoid robot in **2 months**, complete with custom muscles, valves, and pumps for **less than $1000**. For comparison, other humanoid companies with hundreds of millions in cash spent years developing their actuators before touching a full prototype. We’re the most capital-efficient humanoid company, and we’re on track to catch up with incumbents that have far more capital within one year.\n\n[Piggy Robotics F25 Launch](https://www.youtube.com/shorts/ty0fOJORnoc)\n\n2\\. **Mass production** must happen before **autonomy**. Tesla collects hundreds of thousands of hours of driving data per day from cars with basically 2 DoF. A humanoid has >50 DoF. To collect the same amount of data, you need >100K humanoid robots deployed. Existing humanoid companies can only produce a few hundred units per year. Our artificial muscles are far cheaper and simpler, meaning we can manufacture millions of humanoids and reach autonomy far sooner.\n\n️3. Only our humanoid at **iPhone prices** can **enter every home**. A household robot cannot be a 70kg, $20k metal beast. At that price point, adoption follows car-level economics. New cars mostly cost over $20k, and the entire world buys only around 75 million per year. But at $2k, adoption shifts into phone-level territory, where the world buys over a billion smartphones every year. Only an architecture built around cheap, simple-to-produce artificial muscles can reach phone-scale manufacturing quickly and make that future possible.\n\n**Team**\n\n[Richard ](https://www.linkedin.com/in/richard-g-15852b22b)studied **Medicine** at **Oxford University**, built AI systems for personalized cancer vaccines, and has a deep understanding of human anatomy and biomechanicsx—knowledge that is directly relevant to designing artificial muscles and full-body actuation.\n\n[Chenny ](https://www.linkedin.com/in/qianyi-deng/)trained AI models to read human motion—the foundational step for teleoperation and future autonomy—while doing her **PhD in Computer Science** at **Oxford University**. She previously worked on AI at Tencent. Fun fact: at age 13, Chenny built the largest laser-tag centre in her city.\n\nTogether, we spent a year inside factories deploying humanoid robots in real production environments.\n\nEven though Piggy Robotics is only a few months old, we’ve already assembled a **16-engineer elite hardware & software team** from **Oxford University** and **top global robotics competitions**. This combination of deep biomechanics, AI motion understanding, and hands-on factory deployment uniquely positions us to build the **first truly mass-producible humanoid robot**.\n\n![uploaded image](/media/?type=post&id=95684&key=user_uploads/89898/901840c8-864a-4d85-b82b-7ecf78a9b6b0)\n\n**Our Ask**\n\nIf our mission resonates and you want to ship humanoids with us, we’d love to connect: [founders@piggyrobotics.com](mailto:founders@piggyrobotics.com)", "url": "https://www.ycombinator.com/launches/OtI-piggy-robotics-humanoid-robots", "votes": 753, "created_at": "2025-11-21T17:31:10.408Z" }, { "id": 94076, "title": "Piggy Robotics: Humanoid robots that do your chores at iPhone prices.", "tagline": "Tesla promise robots for the price of a car. We will sell ours for the price of an iPhone. ", "body": "In **two months**, we built a **full humanoid** prototype with 22-degree-of-freedom **dexterous hands**, powered by our own custom **artificial muscles** for **less than $1000**!\n\n[Piggy Robotics F25 Launch](https://www.youtube.com/shorts/ty0fOJORnoc)\n\nCompared to electric-motor driven humanoids, ours are **softer**, **safer**, and delivers **higher strength-to-weight**. It will be **20x cheaper** enabling real-world AI training at scale.\n\n[Richard](https://www.linkedin.com/in/richard-g-15852b22b) trained AI to optimize cancer vaccines while studying **Medicine at Oxford University**. As a teen he scored **top 3 nationally** in the UK Intermediate Maths Olympiad.\n\n[Chenny](https://www.linkedin.com/in/qianyi-deng/) trained AI to read human motion while doing her **PhD in Computer Science at Oxford University**. At the **age of 13** she built the largest laser tag centre in her city!\n\n![uploaded image](/media/?type=post&id=94076&key=user_uploads/89898/2182c0f0-e665-410d-b83e-574bba525662)\n\n### Chat with us at: [founders@rigmanic.com](mailto:founders@rigmanic.com)", "url": "https://www.ycombinator.com/launches/OTM-piggy-robotics-humanoid-robots-that-do-your-chores-at-iphone-prices", "votes": 291, "created_at": "2025-09-23T22:11:41.061Z" } ] }, { "id": 29768, "name": "Ember Robotics", "slug": "ember-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d7501c381ec6654b0249e7c8d1881f708e27ce6e.png", "website": "https://www.emberrobotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "Ember builds hardware and system observability tools for robots and IoT devices. Founded by former Tesla Autopilot engineers, we help hardware teams catch failures early, reduce downtime, and iterate with confidence from prototype to scale.", "one_liner": "Datadog for robots", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1722583865, "tags": [ "Developer Tools", "Robotics", "B2B", "Analytics", "Data Visualization" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ember-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/ember-robotics.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ember-robotics", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d7501c381ec6654b0249e7c8d1881f708e27ce6e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6c2229c2c42289396d01eae7f571cb9a5c3d6351.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1932951, "full_name": "Shivani Mouleeswaran", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO @ Ember Robotics. Previously at Tesla Autopilot / Simbe Robotics. I love robots, basketball, and playing the sitar!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shivanicm", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca21e267ed252271b8234a225ca024e791db442e.jpg" }, { "user_id": 1946129, "full_name": "Ritika Shrivastava", "title": "Founder/CTO", "founder_bio": "Ritika is a roboticist who loves helping robots see 🕶! She is a proud UC Berkeley alumna (B.S. EECS '21 & M.S. EECS '22) 🐻, where she researched and taught about computer vision and robotics. Formerly a computer vision engineer at Tesla Autopilot, Ritika is excited to build tools that help roboticists!\n\nIn her free time, she enjoys playing tennis 🎾, building gizmos, and reading 📖!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ritikashrivastava/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/62f2b8c1226f588a683c681ac6ac1c7ceb5d341c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87515, "title": "Ember Robotics: Datadog for Robots", "tagline": "From prototype to scale, we keep robots running", "body": "# **tldr; Fast-track your robotics development**\n\nAt [**Ember**](https://www.emberrobotics.com/), we make it easy for robotics teams to catch and fix issues fast. Our edge-first robot diagnostics platform helps you stay on top of system performance—whether you're prototyping, scaling, or deploying in the field. \\\n\\\nWith instant insights and built-in reliability, we help you move faster, build smarter, and launch with confidence. Ready to try it out? Book a demo [**here**](https://www.emberrobotics.com/) or reach out to us at [**founders@emberrobotics.com**](mailto:founders@emberrobotics.com)!\n\n# **The problem**\n\n1. **No Visibility in Low-Network Zones** – When robots lose connectivity, **cloud-based diagnostics fail**, making it hard to track performance or troubleshoot failures in real time.\n2. **Slow, Costly Root-Cause Analysis** – Debugging is painful, with teams sifting through **dense logs and complex graphs** instead of getting clear, actionable insights.\n3. **Inefficient DIY Monitoring Stacks** – Robotics teams **waste months building custom diagnostics** because existing tools don’t work for their needs.\n4. **Reactive Debugging Leads to System Failures** – Without **proactive monitoring**, small issues snowball into major downtime and expensive repairs.\n\n# **Our solution**\n\n### **🌐 Works Offline**\n\n* **Edge-first diagnostics** to store and analyze data even when the network is down.\n* **Smart caching & prioritized sync** ensure no critical insights are lost.\n\n### **🔍 Faster, Clearer Troubleshooting**\n\n* **Instant anomaly detection** surfaces failures before they escalate.\n* **Real-time sensor & system health analytics** (cameras, IMU, LiDAR, CPU, memory).\n* No more digging through logs—just **straightforward insights** when you need them.\n\n### **⚡ Seamless Integrations**\n\n* **Built-in Sensor Plugins & Robotics Middleware Support** – Off-the-shelf support for **Intel® RealSense™, Luxonis®, Orbbec®**, and more. Easy integrations for **ROS and e-Cal** —no extra setup required.\n* **Deploy in minutes with standard Linux packages**—skip the custom integrations.\n* **API-first design** lets you access diagnostics effortlessly and extend with your own **custom metrics plugins**.\n\n### **📈 Scale up to Fleet-Wide Monitoring**\n\n* Grow reliably from 1 to 10,000 robots with **consistent, structured data collection**.\n* Identify **trends & patterns across groups of sensors and devices**.\n* Works in **low-bandwidth environments**, ensuring continuous insights.\n\n# **Check it out**\n\n![uploaded image](/media/?type=post&id=87515&key=user_uploads/1932951/8cd43030-d313-4ade-af0d-f7fe7197ac0d)\n\n[**\\[dashboard demo\\]**](https://www.tella.tv/video/ember-robotics-dashboard-gvog)\n\n[**\\[real-time diagnostics demo\\]**](https://www.tella.tv/video/ember-real-time-diagnostics-walk-through-dcdf)\n\n### **Meet the team**\n\nWe built software at Simbe Robotics and Tesla Autopilot to optimize robot reliability—covering real-time diagnostics, sensor calibration, field service alerts, and low-latency data pipelines. From early R&D to fleet-scale deployment, we ensure robots stay operational, efficient, and ready for any environment.\n\n![uploaded image](/media/?type=post&id=87515&key=user_uploads/1932951/b82857af-566f-465a-8212-74965d060e03)\n\n# \n\n# **Our ask**\n\nStruggling with blind spots in your fleet? Drowning in logs while root-causing issues? **Ember streamlines troubleshooting and ensures reliable performance—no matter the network conditions.**\n\n🔹 **Book a demo** → [**here**](https://www.emberrobotics.com/)\n\n🔹 **Know someone working with robots, drones, or multi-camera systems?** Send them our way!\n\n🔹 **Just love talking robots?** Same—let’s chat!\\\n\\\nLet’s make **robot monitoring effortless.** Hit us up at [**founders@emberrobotics.com**](mailto:founders@emberrobotics.com)! 🚀", "url": "https://www.ycombinator.com/launches/MlX-ember-robotics-datadog-for-robots", "votes": 25, "created_at": "2025-02-07T22:07:48.510Z" }, { "id": 82673, "title": "Ember Robotics: Camera diagnostics for robots", "tagline": "Reducing vision failures from the source", "body": "# **tldr; Got camera problems? We’ve got solutions.**\n\n[Ember](https://www.emberrobotics.com/) builds software to monitor and resolve robot camera issues - so you can reduce vision failures from the source.\n\nIs robot camera reliability or degraded vision driving you nuts? Book a demo [here](https://www.emberrobotics.com/) or reach out to us at [founders@emberrobotics.com](mailto:founders@emberrobotics.com)!\n\n### **The problem**\n\nWe’ve spent years working on vision systems for autonomous robots and found similar issues everywhere:\n\n![uploaded image](/media/?type=post&id=82673&key=user_uploads/1932951/335dd4a4-e0b6-4c6b-bb64-a4c9c0c60f7f)\n\n☐ Robotics companies work on lean teams that have to do lots of things super fast - **hardware reliability is often secondary to core product features**\n\n☐ **Camera failures cause large fires** because they float up the stack to critically damage perception, controls, and safety\n\n☐ **Digging through layers of software / hardware to figure out what went wrong is painful** (ex. sometimes you spend hours goose-chasing a “perception issue” just to find a loose cable)\n\n### **Our solution**\n\n![uploaded image](/media/?type=post&id=82673&key=user_uploads/1932951/9c181ef2-e04a-498d-a839-35bfa75fd1dc)\n\n**A camera diagnostics framework that ties in real-time data, logs, and reports to contextualize your robot’s vision health.** Support the full life-cycle of your robot with features like:\n\n✅ Out-of-the-box tracking for common issues (disconnection, frame drops, time sync)\n\n💬 Automated suggestions for error resolution\n\n⏱️ Real-time alerts\n\n🖌️ Image quality analysis tools to optimize computer vision\n\n📈 Historical data analysis for predictive maintenance\n\n### **Try it out: Plug-and-play camera testing**\n\nBench-test cameras or diagnose issues in the field with one easy tool. **Fill a config file, launch our service, and get fast metrics on camera health.**\\\n[demo](https://www.youtube.com/watch?v=OnoCmdVEzzM)\n\nCurrently we support Intel® RealSense™ D400 cameras and ROS - more cameras and pub-sub models coming soon!\n\n### **Meet the team**\n\n![uploaded image](/media/?type=post&id=82673&key=user_uploads/1932951/cc554985-1fa2-4bd8-9d16-96609bb82645)\n\nHi, we are [Shivani](http://linkedin.com/in/shivanicm) & [Ritika](https://www.linkedin.com/in/ritikashrivastava/)! We built software at Tesla Autopilot to optimize camera performance for autonomy. We’ve covered the camera stack end-to-end (low-latency image capture, real-time camera monitoring, online camera calibration, multi-trip reconstruction, and SLAM) - we’re passionate about helping robots see!\n\n### **Our ask**\n\nIs robot camera reliability or degraded vision driving you nuts? Book a demo [here](https://www.emberrobotics.com/) or reach out to us at [founders@emberrobotics.com](mailto:founders@emberrobotics.com)!\n\nIf you know anyone working on robots, drones, or other multi-camera systems (surveillance, manufacturing, etc.) we would love a warm intro.\n\nAnd for those who are just generally robot-curious - always happy to chat!", "url": "https://www.ycombinator.com/launches/LVR-ember-robotics-camera-diagnostics-for-robots", "votes": 101, "created_at": "2024-08-02T13:50:39.909Z" } ] }, { "id": 29774, "name": "Mineflow", "slug": "mineflow", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed607e65537f111a39e5fd0ab221ec114e01bb3e.png", "website": "http://mineflow.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Mineflow is an AI platform for mineral exploration. We generate predictions for mineral deposit shapes and locations, empowering mining companies from initial exploration to advanced feasibility studies.\r\n\r\nGeologists need to know precisely where their deposits are because drilling is expensive. In early trials with a lithium mining company, we found that Mineflow predicts the shape of hard rock lithium deposits more than an order of magnitude more accurately than our competitors.\r\n\r\nRyan received a BS in Artificial Intelligence from Carnegie Mellon's School of Computer Science where he helped teach both the grad-level Deep Learning course and the grad-level Search Engines course. He built ML models at Google in the Display Ads optimization org for 2 years and launched products that generated ~125m USD in ARR.", "one_liner": "Mineflow predicts the shape and location of mineral deposits", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1723534292, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "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 your long-term vision? If you truly succeed, what will be different about the world?", "answer": "The discovery rate of economically viable mineral deposits near the earth's surface is declining each year. As the \"low-hanging fruit\" is claimed and mined, we’ll increasingly need to drill deeper to retrieve critical minerals like gold, copper, and lithium. While mining companies today can afford to drill hundreds of holes to precisely model a deposit at a depth of 200 meters, the cost of drilling will rise sharply as we go deeper. This means fewer holes can be drilled, necessitating more powerful deep learning models to accurately predict the shape and location of these deeper mineral deposits. Mineflow will lead the way in developing a family of foundation models for predicting the earth's subsurface composition and structure. Ultimately, I hope every mining company will use Mineflow's models to guide their exploration with precision." } ], "url": "https://www.ycombinator.com/companies/mineflow", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/mineflow.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mineflowai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed607e65537f111a39e5fd0ab221ec114e01bb3e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0205d8b54b41ab67700f97885fc8445e80f65a8b.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7298b2944e4935a799fbbf826d17ab3770528f5d.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1928886, "full_name": "Ryan Goggins", "title": "Founder/CEO", "founder_bio": "studied AI at CMU in SCS, built ML models for Google Ads, now trying to predict the shape of mineral deposits underground", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rgoggins", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/76de56057f619b5b96a7f65152564b82821db55c.jpg" } ], "jobs": [ { "id": 69084, "title": "Founding Machine Learning Engineer", "url": "https://www.ycombinator.com/companies/mineflow/jobs/sJbXTyi-founding-machine-learning-engineer", "location": "San Mateo, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$80K - $150K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "C++", "Python" ] } ], "news": [], "launches": [ { "id": 83015, "title": "⛏️ Mineflow - AI mineral exploration", "tagline": "Mineflow takes your mining exploration data and trains a custom AI model to accurately predict the shape and location of mineral deposits, reducing drilling costs significantly", "body": "---\n\nHey YC! I'm Ryan from [Mineflow](http://mineflow.ai/).\n\nQuick backstory: I've always been fascinated by how mining companies discover deposits. That passion led me to leave Google after two years of working on deep learning for ads to start Mineflow. I’m convinced that mineral exploration is as much a statistics problem as it is a geology problem, and early feedback from lithium mining companies suggests I might be on the right track!\n\n### The problem\n\nAccurately predicting deposit shapes is critical for geologists because each drill hole can cost tens of thousands of dollars. However, **traditional computational models fall short** because they:\n\n1. Can't incorporate highly multimodal data\n2. Don’t learn from data across multiple exploration sites\n3. Rely on naive algorithms for their inferences\n\nAs a result, mining companies often **drill thousands of holes** before an exploration site becomes operational, driving up costs.\n\n### The solution\n\nMineflow lets geologists **upload any dataset from their exploration sites**. Then, Mineflow **builds a custom AI model to predict the shape and location of mineral deposits**. By training a deep learning model on the whole dataset, Mineflow is able to make predictions with **an order of magnitude of accuracy more than our competitors**. As a result, Mineflow can significantly reduce the number of drill holes needed, saving mining companies millions in exploration costs.\n\nWe can produce predictions in 2 dimensions (think overhead, bird' s-eye view) and 3 dimensions (think 3D grid of cubes).\n\n3D gold deposit we are modeling:\n\n![uploaded image](/media/?type=post&id=83015&key=user_uploads/1928886/685a3a98-f1f5-4959-b7ed-a6f4b6876b01)\n\n2D prospectivity map we produced for an exploration project:\n\n![uploaded image](/media/?type=post&id=83015&key=user_uploads/1928886/d99c6c6b-8737-4ab0-a761-4058c33653ed)\n\n### Team\n\n[Ryan](https://www.linkedin.com/in/rgoggins) earned a BS in Artificial Intelligence from Carnegie Mellon SCS and built ML models for the Google Display Ads optimization team for two years. While at Google, he launched products and deep learning models that generated \\~$125m USD of ARR.\n\n![uploaded image](/media/?type=post&id=83015&key=user_uploads/1928886/697e9e0b-3f28-4ef6-b9c0-0a2b4e789e37)\n\n### Ask\n\nIf you know anyone in mineral exploration or oil and gas exploration, I'd love to [connect](https://www.linkedin.com/in/rgoggins/) with them to see how Mineflow can help. Grab space on my calendar [here](https://calendly.com/ryan-mineflow/30min).", "url": "https://www.ycombinator.com/launches/Lax-mineflow-ai-mineral-exploration", "votes": 36, "created_at": "2024-08-13T23:23:41.164Z" } ] }, { "id": 29777, "name": "Zettascale Computing", "slug": "zettascale-computing", "former_names": [ "Exa Labs", "Exa Laboratories", "Zettascale" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dc824cdcd1866f181c1cae19f0dfc1371a717e51.png", "website": "https://zscc.ai", "all_locations": "San Francisco, CA, USA", "long_description": "AI silicon for the era of recursive self-improvement and superintelligence", "one_liner": "Chips for frontier AI", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1722631140, "tags": [ "Hard Tech", "Semiconductors", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "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/zettascale-computing", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/zettascale-computing.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/zettascale-computing-corp", "x_url": "https://x.com/zettascale", "fb_url": null, "cb_url": null, "github_url": "https://github.com/thezettascale", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dc824cdcd1866f181c1cae19f0dfc1371a717e51.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": 779644, "full_name": "Elias Almqvist", "title": "Founder/CEO", "founder_bio": "Founder/CEO of Zettascale Computing, autodidact dropout", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/almqv", "x_url": "https://x.com/fcvprzhfgsybj", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a6432e5966767866a5568fae25b979f0f8da9f7d.jpg" } ], "jobs": [ { "id": 109821, "title": "Founding Silicon Engineer", "url": "https://www.ycombinator.com/companies/zettascale-computing/jobs/E3xe53H-founding-silicon-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$200K - $300K", "equity_range": "1.00% - 2.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "Tcl", "Verilog", "FPGAs" ] } ], "news": [ { "title": "9 startups that stood out on YC Demo Day 2 | TechCrunch", "url": "https://techcrunch.com/2024/09/26/9-startups-that-stood-out-on-yc-demo-day-2/", "date": "Sep 26, 2024" } ], "launches": [ { "id": 120562, "title": "XPU Grasshopper: An AI chip designed for the era of recursive self-improvement", "tagline": "AI chip co-designed with AI for the era of recursive self-improvement", "body": "![uploaded image](/media/?type=post&id=120562&key=user_uploads/779644/45160b6c-c87e-4ed1-ad59-7ded469a382d)\n\nToday we’re announcing XPU Grasshopper, our AI architecture co-designed with AI!\n\nIt went from its first tokens to 816x faster in 13 weeks on FPGA.\n\nWith a very small team and autonomous AI agents, we were able to design the hardware and software together. The agents rewrote kernels, reworked the hardware overlay, and ran and tested their own FPGA builds.\n\nRunning gemma-3-1b-it (yes, it runs other models too, but that’s for the next launch :)) at more than 51 tok/s and over 90% utilization at batch 1, on four tiles on an FPGA, measured end to end, to prove out our micro-architecture and software stack before silicon.\n\nWe wrote up the full story, including the day-by-day optimizations the agents found, the Mutation Tile Unit architecture, and the benchmarks: \n\n100 numbered FPGA devkits are open for pre-order, with early cluster API and SSH access: \n\nRead more: ", "url": "https://www.ycombinator.com/launches/VMY-xpu-grasshopper-an-ai-chip-designed-for-the-era-of-recursive-self-improvement", "votes": 7, "created_at": "2026-10-07T16:33:31.723Z" }, { "id": 83472, "title": "Exa Laboratories - 27.6x more efficient chips for AI 🔥🚀", "tagline": "Reconfigurable chips for AI that are 27.6x more energy efficient.", "body": "### TL;DR:\n\nWe're building reconfigurable chips for AI that are up to 27.6x more efficient and powerful than the H100 GPUs. This could save data centers hundreds of millions to billions in annual energy costs.\n\n### Meet the Team\n\nHello! We're [Elias](https://www.linkedin.com/in/almqv/) and [Prithvi](https://www.linkedin.com/in/prithvi-raj-eng/) from [Exa](https://exalaboratories.com/). We're developing **reconfigurable chips for AI** that are up to around **27\\.6x\\* more efficient and performant** than the modern H100 GPUs.\n\n\\*: [_Read our litepaper!_](https://exalaboratories.com/litepaper)\n\n![uploaded image](/media/?type=post&id=83472&key=user_uploads/779644/fe720272-a21f-4761-a766-9b90dc6401a9)\n\n[**CEO, Elias Almqvist**](https://www.linkedin.com/in/almqv/) (right): Self-taught engineer who also studied computer science and computer engineering (dropped out and founded Exa, btw) at Chalmers University of Technology. Previously worked in the embedded software space but also worked on various aerospace projects at university.\n\n[**CTO, Prithvi Raj**](https://www.linkedin.com/in/prithvi-raj-eng/) (left): Holds an MEng from the world-leading Computational Stats & ML Lab at Cambridge. During his time there, he fell in love with scientific machine learning, a field that demands bespoke neural network architectures and extreme hardware efficiency, and also interned at Microsoft as a software engineer.\n\n### The problems!\n\nThe AI industry faces critical challenges threatening its sustainable growth:\n\n1. **Unsustainable Energy Consumption**: Modern GPUs consume 600-1000 W per unit, creating massive scaling issues for data centers. Large data centers face energy costs in the hundreds of millions to potentially billions each year. **GPU power draw seems to be increasing with each new release**, while **compute per area has remained the same** for the past 5 years.\n2. **Exponential Compute Demand**: With AI advancements, computational power demand is rapidly increasing. Unchecked, this trend could lead to an energy crisis, impeding AI progress and costing data centers billions of dollars.\n3. **Hardware Limitations**: **Current fixed architectures constrain AI innovation**. They lack the versatility to efficiently support diverse AI architectures and custom neural network designs crucial for solving real-world problems.\n\n### The solution.\n\nExa's polymorphic computing technology addresses these challenges:\n\n* **Reconfigures for each AI model architecture**, maximizing efficiency and versatility\n* Supports diverse approaches, from **transformers** and **GPTs** to novel AI architectures (e.g., the new [**Kolmogorv-Arnold Networks (KAN)**](https://arxiv.org/abs/2404.19756))\n* Early simulations indicate potential efficiency gains of up to **27\\.6x** over the H100 GPUs\n\n**This technology could save data centers hundreds of millions to billions in annual energy costs**, significantly reducing operational expenses and environmental impact.\n\n![uploaded image](/media/?type=post&id=83472&key=user_uploads/779644/12f4a895-8885-4089-a331-920fb65b683c)\n\nFor a somewhat deeper technical dive, refer to our [litepaper](https://exalaboratories.com/litepaper)!\n\n### Asks :)\n\n* Read our [litepaper](https://exalaboratories.com/litepaper)! All feedback welcome!\n* Introduce us to anyone in the scientific machine learning space and/or someone conducting research in AI, **particularly those who have very “_cursed model architectures.”_**\n* Get us in contact with any data center, AI research organization, or GPU cloud provider (i.e., AWS, OpenAI, Anthropic, DeepMind, Lambda).\n* Give us intros to semiconductor industry professionals, particularly those interested in **bringing back chip manufacturing to the US**!\n\nFeel free to reach us at [founders@exalaboratories.com](mailto:founders@exalaboratories.com), **we would love to hear your feedback and answer your questions!**", "url": "https://www.ycombinator.com/launches/LiK-exa-laboratories-27-6x-more-efficient-chips-for-ai", "votes": 35, "created_at": "2024-08-27T19:36:23.464Z" } ] }, { "id": 29783, "name": "Guardian RF", "slug": "guardian-rf", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ec6cf435222465cfd6d7908d7b853c7edb7ab66d.png", "website": "https://guardianrf.com/", "all_locations": "Washington, DC, USA", "long_description": "The rise of low-cost commercial drones has introduced a new class of asymmetric threats to U.S. national security. Off-the-shelf platforms now deliver ISR, contraband, or payloads with precision, while operating below radar coverage and beyond line-of-sight. These systems—often costing under $1,000—are capable of neutralizing multi-million-dollar defense assets. For drone detection to be viable at scale, sensors must achieve cost parity with the threat.\r\n\r\nIn response, the Department of Defense established multiple initiatives to counter the rapid proliferation of uncrewed aerial systems. The Joint Counter-small UAS Office (JCO) coordinates policy and acquisition across services. The Base Defense Cross-Functional Team enables persistent perimeter security for CONUS and OCONUS installations. Falcon Peak, Red Sands, and related exercises are accelerating deployment of counter-UAS technologies in complex environments.\r\n\r\nThis threat is no longer exclusive to military operations overseas. It now directly targets the U.S. homeland. In 2025, an executive order designated the protection of American airspace sovereignty a national priority, recognizing that uncrewed systems present both surveillance and kinetic risks within the United States. That same year, a domestic extremist plotted to destroy a Tennessee power substation using a drone rigged with C-4 explosives—a plan disrupted by undercover federal agents. In July 2025, an unauthorized drone collided with a rescue helicopter during disaster response operations in Kerr County, Texas, forcing an emergency landing and halting flood relief efforts. These are not isolated incidents—they reflect a broader shift in drone-enabled threats against homeland infrastructure and public safety.\r\n\r\nGuardian RF builds passive, radiofrequency-based drone detection systems for force protection and critical infrastructure defense inside the United States. Our systems are fielded under an AFWERX Direct-to-Phase-II SBIR with the 30th Security Forces Squadron at Vandenberg Space Force Base, deployed by local and state law enforcement, and integrated into commercial security operations. We were selected as a finalist for Falcon Peak 25.2, the Department of Defense’s premier counter-UAS exercise.\r\n\r\nScout is a passive RF sensor for fixed, mobile, or temporary deployments. It detects and classifies drone control signals—including modified variants of DJI, Crossfire, and ExpressLRS—at standoff ranges. Scout supports direct integration into TAK and other operational APIs and is managed through GRF-SECURE, our secure interface for live monitoring, threat alerting, and forensic review.\r\n\r\nMosaic extends coverage in austere environments, enabling persistent low-altitude monitoring and classification of non–Remote ID drones across complex terrain—without active emissions or mesh dependency.\r\n\r\nBuilt in the United States, Guardian RF delivers scalable, automated, and cost-aligned drone detection—passive by design and hardened for real-world deployment across the homeland.", "one_liner": "Drone detection for US defense and national security ", "team_size": 15, "industry": "Industrials", "subindustry": "Industrials -> Drones", "launched_at": 1718385099, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Drones" ], "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/guardian-rf", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/guardian-rf.json", "year_founded": 2024, "city": "Washington", "country": "US", "linkedin_url": "https://www.linkedin.com/company/guardian-rf", "x_url": "https://x.com/Guardian_RF", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ec6cf435222465cfd6d7908d7b853c7edb7ab66d.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": 2000729, "full_name": "Lucas Raskin", "title": "Founder/CEO", "founder_bio": "Physics enthusiast. Building next generation counter UAS capabilities.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucas-r-422937242/", "x_url": "https://twitter.com/LucasRaskin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f9f5a380d118b8c3fccc92f303f6f7802ff9a04d.jpg" }, { "user_id": 2000165, "full_name": "John Andrzejewski", "title": "Founder/COO", "founder_bio": "Former Physics at Georgetown. Working on counter UAS and hitting PRs on bench press.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/john-andrzejewski/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d353f3b00965eadfc3e7a947dcc414fe97cd435b.jpg" }, { "user_id": 2000957, "full_name": "Eli Kerstein", "title": "Founder/CTO", "founder_bio": "My background is in physics and comp sci. I build Counter UAS systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eli-kerstein-64a98919a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6800aa844bf5bea81782b752c273c9eb39c45e95.jpg" } ], "jobs": [ { "id": 89995, "title": "Electrical Engineer Intern (Summer)", "url": "https://www.ycombinator.com/companies/guardian-rf/jobs/gHKlg95-electrical-engineer-intern-summer", "location": "Washington, DC, US", "type": "Internship", "role": "Engineering", "role_type": "Electrical", "salary_range": "$4.8K - $7K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Assembly", "Verilog", "Raspberry Pi", "PCB design", "FPGAs", "Altium" ] }, { "id": 114128, "title": "Electrical Engineer", "url": "https://www.ycombinator.com/companies/guardian-rf/jobs/iWpyyX4-electrical-engineer", "location": "Washington, DC, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$105K - $130K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "C++", "MATLAB", "Python", "PCB design" ] } ], "news": [], "launches": [] }, { "id": 29784, "name": "Sensei", "slug": "sensei", "former_names": [ "OBO" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e3e1067b2d9b0492706fd6cec1ccf4d50ee5c59.png", "website": "https://senseirobotics.com", "all_locations": "Boston, MA, USA", "long_description": "Sensei helps robotics companies scale and outsource their training data collection. Our hardware platform enables the collection of human-demonstration data at a tenth of the cost and twice the speed of current teleop approaches. Our software platform acts like Scale AI for robotics data: a large network of paid human operators use our low-cost collection platform to fulfill data-generation requests. ", "one_liner": "Robotic Training Data at Scale", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1724658554, "tags": [ "Hard Tech", "Marketplace", "Robotics", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sensei", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/sensei.json", "year_founded": 2024, "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/0e3e1067b2d9b0492706fd6cec1ccf4d50ee5c59.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": 842573, "full_name": "Anubhav Guha", "title": "Founder/CEO", "founder_bio": "CEO at Sensei - building the marketplace for robotic training data. Previously MIT Robotics PhD (dropped out) and Chief Engineer & Program Manager of Aurora Flight Science/Boeing's DARPA AlphaDogfight team. I've spent my whole career in robotics, and my goal is to help make AI robotics a reality.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anubhav-guha-886445129/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9580bcefaa36422ee6b7c4f52ebab522fc7e6491.jpg" }, { "user_id": 2033335, "full_name": "John Piotti", "title": "Founder/CTO", "founder_bio": "CTO at Sensei - scaling robotic training data collection to be 2x faster and 10x cheaper. Previously MIT '19, Robotics Engineer at Aurora Flight Science/Boeing, and full stack web development at UtilityAPI. Also building a house in my free time. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/john-piotti-51a67412a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/16f9d0a34775f335bac9e0e7ac869194c2b0cd63.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83555, "title": "🦾 Sensei: Robotics training data, at scale.", "tagline": "We produce high quantities of high-quality training data for robotics companies.", "body": "**tl;dr:** [Sensei](https://senseirobotics.com/) is the Scale AI for robotics training data. Our platform collects human demonstration data at a tenth of the cost and twice the speed of current approaches.\n\n# **Our Team**\n\nWe are MIT engineers who have been friends since undergrad. We worked together at Aurora Flight Sciences, where we ran a DARPA-funded program to develop AI algorithms for autonomous fighter jet combat. [John](https://www.linkedin.com/in/john-piotti-51a67412a/) went on to spearhead the reinforcement learning efforts at Aurora, while [Anubhav](https://www.linkedin.com/in/anubhav-guha-886445129/) returned to MIT for a PhD focused on robotics, control theory, and machine learning (but dropped out to found Sensei!).\n\nWe have spent our careers working at the frontiers of robotics and AI. With Sensei, we plan to empower the expansion of those frontiers. \n\n![uploaded image](/media/?type=post&id=83555&key=user_uploads/842573/7653e304-26fe-4239-b434-58c524f60b31)\n\n# **The Problem**\n\n**Data scarcity is one of the biggest challenges in developing robotic artificial intelligence.** \n\nInnovators in the space are looking to apply the learnings from the Foundation Model Era: that large models trained on huge datasets are incredibly powerful. As researchers, engineers, and a rapidly growing number of commercial efforts race to develop large models for robotic intelligence, it’s become increasingly clear that the availability of sufficient quantities of quality data is the most significant bottleneck. \n\nCurrent solutions are slow, expensive, and fundamentally not scalable. Human demonstrations are the gold standard for training data. Robotics companies currently employ fleets of 5-20 data-collectors. These in-person contractors teleoperate a robot to perform hundreds of demonstrations a day - with tasks ranging from clothes folding, to bin sorting, to dishwasher loading. **This is not the right long-term solution:** \n\n* Large-scale collection is prohibitively expensive: a teleop setup requires a physical robot, often with a cost of $40,000+ per operational platform.\n* Low-quality data: restriction to labs/office spaces makes it hard to collect varied and realistic demonstrations\n* Slow data collection rates: non-intuitive interfaces, cumbersome equipment, and faulty hardware lead to slow demonstrations on platforms that break often.\n\n \n\nThese drawbacks make it impossible to scale quality training data collection to the quantities needed for robotics.\n\n# **Our Solution**\n\nWe design and manufacture low-cost and easy-to-use devices for collecting human demonstration data. Our platform costs less than $300 and can be used by anyone to collect high-quality training data. As seen in a clothes folding task that demonstrates our research prototype, the operator is equipped with a sensorized exoskeleton arm that closely matches the natural human range of motion. The intuitive design, coupled with a suite of angle, vision, and inertial sensors, enables the rapid collection of highly accurate visuo-spatial state information. \n\n![uploaded image](/media/?type=post&id=83555&key=user_uploads/842573/a58f4a6e-504c-4dd7-a1e1-8afd1d02cb30)\n\nOur main advantage is that an operator can easily set up and equip the platform, leading to an unprecedented ability to generate quality data at scale. Demonstrations can be performed for a broad range of common tasks, in a nearly infinite number of diverse settings, in as many different ways as human behavior is varied. \n\nIn order to maximally utilize a fleet of our data-collect platforms, we are building out and operating a network of Senseis— contractors that have been trained to collect high-quality training data using our devices. Our Senseis receive task descriptions from robotics researchers and engineers, and are then paid to collect demonstrations that fulfill the request. \n\n**Our combined hardware + software stack represents the first truly scalable solution to generating training data for AI robotics.**\n\n# **Our Goal**\n\nWithin the next five years, we envision tens of thousands of operators, equipped with increasingly sophisticated, portable, and effective data-collection arms, exoskeletons, headwear, and tools. These Senseis will be located all over the world, come from and live in a variety of environments, and all have different takes on what it means to perform tasks “like a human.” This is the best way to power data collection for improved robots, and it is the future we’re building.\n\n# **Ask**\n\nIf you’re interested in solving the data scarcity problem in robotics - either for yourself, your company, or your customers - we’d love to hear from you. You can reach us at [founders@senseirobotics.com](mailto:founders@senseirobotics.com)", "url": "https://www.ycombinator.com/launches/Ljf-sensei-robotics-training-data-at-scale", "votes": 112, "created_at": "2024-08-28T20:27:10.260Z" } ] }, { "id": 29803, "name": "Ionworks", "slug": "ionworks", "former_names": [ "Ionworks Technologies Inc" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9d19f43559a7c58d6263bc07ad06e83fd4ad1f0a.png", "website": "https://ionworks.com/", "all_locations": "Remote", "long_description": "Every battery company spends tens of millions of dollars a year on experiments. Simulations that replace experiments reduce these costs but are currently underutilized in industry because they are hard to create and run. We make simulations accessible to every engineer, by helping them to create models from their own data, then run large scale simulations in the cloud to explore the full design space.", "one_liner": "Simulation software used by leading battery and automotive companies", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1721785352, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ionworks", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/ionworks.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/ionworks-technologies/", "x_url": "https://x.com/ionworks_", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9d19f43559a7c58d6263bc07ad06e83fd4ad1f0a.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": 1162906, "full_name": "Valentin Sulzer", "title": "Founder/CEO", "founder_bio": "Created PyBaMM, the world's leading open-source battery simulation software. Now building Ionworks to make it accessible to every single battery engineer around the world. Previously PhD (Maths) at Oxford + 4 years engineering research at University of Michigan and Carnegie Mellon", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/valentinsulzer/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e9adfbe113b899a61410d2cb6a8fd0ae001fe4c2.jpg" }, { "user_id": 1931768, "full_name": "Rob Timms", "title": "Founder", "founder_bio": "Co-Founder and CTO at Ionworks, building the modern software stack for batteries, powered by PyBaMM. Core developer of the leading open-source battery modelling package PyBaMM. Ex-Oxford mathematician. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robertwtimms/", "x_url": "https://twitter.com/robertwtimms", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9e2678fd548a911437faf13c76ee1801bc36d0b6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 82425, "title": "Ionworks - Build and run battery simulations at scale", "tagline": "Digitize your battery experiments to accelerate R&D.", "body": "We provide battery-simulation-as-a-service to help battery engineers accelerate their battery design cycles by replacing experiments with simulations. We’re building this on top of [**PyBaMM,**](https://github.com/pybamm-team/PyBaMM) the world’s leading open-source battery modeling software, which was created by our team and is now used by most battery engineering teams around the world.\n\n**Our ask:** If you are a battery engineer or know one, reach out to [**info@ionworks.com**](mailto:info@ionworks.com) for a demo\n\n**Meet the team**\n\nWe ([**Valentin**](https://www.linkedin.com/in/valentinsulzer/), [**Rob**](https://www.linkedin.com/in/robertwtimms/), [**Tom**](https://www.linkedin.com/in/tom-tranter-355a1033/)) have PhDs in Maths/Chemical Engineering from Oxford/East Anglia/Leeds & UCL, and a collective 20 years of experience working on physics-based battery simulations. As academics, we were frustrated by the scientific reproducibility crisis, so we created an open-source project to share our research and hold ourselves accountable. This turned out to be something people wanted, and PyBaMM has now grown to become the leading open-source battery simulation package used by engineers in battery companies and academic labs around the world. We’re now building Ionworks to scale up this success and bring the power of digital design to every single battery engineer.\n\n![uploaded image](/media/?type=post&id=82425&key=user_uploads/1162906/8c9248b2-33cb-4cd1-a577-f564bb1f0ce6)\n\n**The Need**\n\nBatteries are a crucial technology underpinning the electrification of every application ranging from EVs to grid storage. This makes the battery market worth _$150b today (1.5% of global GDP)_, with projected growth to $680b in 10 years (4% of projected global GDP). However, batteries still need to improve massively to meet a difficult set of demands: **higher energy and power density, faster charge times, lower cost, longer lifetimes, and better safety.**\n\n![uploaded image](/media/?type=post&id=82425&key=user_uploads/1162906/ba1d3286-9e94-4cf5-a24a-8f886d18dbdd)\n\n**Why designing better batteries is difficult**\n\nBatteries come in all shapes and sizes, with complex and nonlinear effects of design inputs on performance outputs. As a result, battery engineering teams build and test thousands of physical prototypes to find the optimal design for their application. This is an expensive and time-consuming process (up to $1000 and 2 years for each individual test), which leads to **$100m/5 year battery development cycles**. This makes batteries the bottleneck in many product development cycles, such as new laptops and electric cars.\n\n**The Solution**\n\nWe’re doing for batteries what CFD (computational fluid dynamics) did for aerodynamics and CAD (computer-aided design) did for structural and electrical engineering: **move the design problem into the digital world**. Generic engineering software already exists but requires specialist knowledge and decades of experience to build battery-specific models. We’re building software that makes this process available to any battery engineer. Our solution is built for the cloud, providing the interfaces and cost models to do this at scale.\n\n![uploaded image](/media/?type=post&id=82425&key=user_uploads/1162906/00b0d1e5-e12b-4f4d-9eb7-a3e7d9deb650)\n\n**How it works**\n\nWe move battery design into the digital world using the following process:\n\n1. Collect a small amount of experimental data\n2. Parameterize (i.e. train) the physics-based model to find the parameter values that best match the experimental data\n3. Use the generated parameters to virtually explore the entire space of designs and operating conditions\n4. Pick the best candidates from the virtual experiments and test those in the physical world to validate the simulation results\n\nThe underlying physics-based models are old-school partial differential equations that describe the chemical reactions, lithium transport, and heat exchange happening inside a battery. These models generalize well from their training data, which allows us to build accurate models from small amounts of data. **Our secret sauce is that we’ve built software that makes steps 2 and 3 fast and robust.**\n\n![uploaded image](/media/?type=post&id=82425&key=user_uploads/1162906/8cd0cdec-18b1-4468-87fe-245207c3aad3)\n\n**Ask**\n\n* If you are a battery engineer or know one, reach out to [**info@ionworks.com**](mailto:info@ionworks.com) for a demo\n* Submit a [**PyBaMM Testimonial**](https://forms.gle/mZnbRFWFQdj48RFT6) for a chance to win some [swag](https://numfocus.myspreadshop.com/pybamm+logo-A65835f9218539517e7310303?productType=812&sellable=xr4nBeRpbRhJJX4enQn7-812-7)\n* Star [**PyBaMM on GitHub**](https://github.com/pybamm-team/PyBaMM)", "url": "https://www.ycombinator.com/launches/LRR-ionworks-build-and-run-battery-simulations-at-scale", "votes": 46, "created_at": "2024-07-24T20:31:12.823Z" } ] }, { "id": 29808, "name": "Starcloud", "slug": "starcloud", "former_names": [ "Lumen Orbit, Inc.", "Lumen Orbit", "Star Cloud" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e9c9b9996bb500ee171134f1e1a0a83f5d48bec3.png", "website": "https://www.starcloud.com/", "all_locations": "Seattle, WA, USA", "long_description": "Starcloud is building data centers in space, initially to provide GPU compute to other satellites, and later to address the rapidly growing demand for energy caused by the deployment of AI. Falling launch costs give Starcloud access to abundant energy, radiative cooling, and the ability to rapidly scale in space.\r\n\r\nIn November 2025, just 21 months after founding, Starcloud launched its first satellite, Starcloud-1 to space. This has an Nvidia H100, which is 100x more powerful GPU than has ever been operated in space before. With this, they became the first entity to train an LLM in space and the first to run a version of Gemini in space. Starcloud will soon also run high-powered inference on Capella SAR data on orbit for the first time. \r\n\r\nStarcloud is launching its second satellite in October 2026, which will have 100x the power generation of the first and generate more cash than it costs to build and launch. Starcloud expects that within 10 years, most new data centers will be being built in space for the energy.\r\n\r\nIn March 2026, Starcloud raised a $170M Series A led by Benchmark, becoming the fastest unicorn in YC history, just 17 months after demo day.", "one_liner": "Data centers in space", "team_size": 12, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1718841179, "tags": [ "Hard Tech", "Satellites", "Climate", "Cloud Computing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/starcloud", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/starcloud.json", "year_founded": 2024, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/starcloudinc", "x_url": "https://x.com/Starcloud_", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/starcloud", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e9c9b9996bb500ee171134f1e1a0a83f5d48bec3.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/29867/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAOTKCHR7A%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022722Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJHMEUCIQDeV7cQCYWa%2ByyakJaw7aH8e0HNWEyd2tO1Fn9KHjIpkgIgJPUveNomWrSf4Oq5DPuVDY7LKeaNJPvi5F2sbSx87Hoq5QMIOhAAGgwwMDYyMDE4MTEwNzIiDJ7%2FkqUU8p5mIeDC5CrCA7F4UggTYlVYiff4mYkoYiIpXa9r%2FKkUhcKwMNwtYpcuNTEBtH5xi9Hzkl3B%2FOYmUn%2FIacrdemsB9KrtOuRo%2FccaY%2Bs%2FSuIzime%2BcYuI7%2B%2Fg2nldjcm7YPCf32sIR8EflXc2916%2FDRMbztsRKDiQDL1ZKbK6YPHJppiQyVyRrrcCFD0X7tEf0D7QgK2DIpKnu8zGLzN4oAHn6xfHIgQnynrupcJbc9cga5AURtsRl7TfSM6XaGTtp1fNogyhUKX9f%2FYIL2pg03nlhLpRpDuqHpJ9qbbVsf%2FvboDHQ4IRRkiCaWH6GZwuTm%2FaXzTPIrAlVKH5%2F0RNaaExh%2Byw4VhHEEsSkHSs4mw%2BmNAKnW2FnWuldPRw5kn3j05dqhv5fkQxdp74JTYQe5wex1YN5PCok147bSKEuieYlIgH%2FiP9NY3Ym0ZRUWuo0zL40XWv9X3L1tLg%2BYWY0fCdhDKHGgTuesmbVajzEhu%2Bg9iWLptoK63cZ4UfO8oOd6sOc09XF6lBy%2BmD%2BSVmOfDWUOzz5ELD16slDTUwml0MZsttBoLDzldUc0olkl5nCAl23UqraiUXeaeW3yLOvJn%2BAD%2B%2FM6PvmZF0VzDn%2FdrWBjqlAVRsuTd0UsfPEqyKlBgBcSJTbWkHvSj10wzTCIqvOoZ3bz1TWza43iHLTCs7u%2FHmvoKE0qG5FTOsMYhLZb5XFdRretuo%2F1BjdoZt%2Fr0dHWGT4LLkmfYrkFclUq7u0pvMr6%2FR4I41ZYdCD3cWpGAcOrCQxKJukkkU%2Fx4O0IOnvZKvXzK4OISHe4XPgWQrnAJcSBOFX%2BXRwhpFbVXOOC%2BtEw%2BR3JTElw%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=8f05ea904212f861c1d5ecd5761f1b4f7880444cd9717a5a059405f701de7659", "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/065a3eebab8634327ccf3fddba698fec064b402a.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1489854, "full_name": "Philip Johnston", "title": "Founder/CEO", "founder_bio": "Philip is a second-time founder who previously spent time at McKinsey & Co. working on satellite projects for national space agencies. Philip has an MPA in National Security & Technology from Harvard University, an MBA from Wharton, an MA in Applied Mathematics & Theoretical Physics from Columbia University, and is a CFA Charter holder.", "is_active": true, "linkedin_url": "https://linkedin.com/in/philipjohnst0n", "x_url": "https://x.com/philipjohnston", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d3394d5d9bde1ea05b6e234ac597803afa51503a.jpg" }, { "user_id": 1512096, "full_name": "Ezra Feilden", "title": "Founder/CTO", "founder_bio": "Ezra has a decade of experience with satellite design, specializing in deployable solar arrays and large deployable structures. Ezra comes from Airbus Defense & Space (SSTL) and Oxford Space Systems, where he worked on many missions, including NASA's Lunar Pathfinder. Ezra has a PhD in Materials Engineering from Imperial College London.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ezrafeilden", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b6a499a75b563eb52dd9821819b834e5119c29eb.jpg" }, { "user_id": 1861208, "full_name": "Adi Oltean", "title": "Founder", "founder_bio": "I have a software and hardware background. As part of SpaceX and Microsoft I delivered key features in satellite networks, operating systems, cloud and machine learning infra. \n\nMy focus areas at Starcloud include software, hardware and engineering design aspects of our satellite constellation. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adioltean/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8f6967e1c2ef4027c9198509b6ec69fb6aa3265b.jpg" } ], "jobs": [ { "id": 115514, "title": "Electrical Engineer", "url": "https://www.ycombinator.com/companies/starcloud/jobs/tJF6I6L-electrical-engineer", "location": "Redmond, WA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$100K - $200K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Starcloud raises $170M for space-based data centers, hits $1.1B valuation", "url": "https://www.geekwire.com/2026/orbital-ai-seattle-area-startup-starcloud-hits-1-1b-valuation-to-build-space-based-data-centers/", "date": "Mar 30, 2026" }, { "title": "Could data centres ever be built in orbit? Starcloud thinks so", "url": "https://www.economist.com/science-and-technology/2025/04/09/could-data-centres-ever-be-built-in-orbit", "date": "Apr 16, 2025" }, { "title": "Could data centres ever be built in orbit?", "url": "https://www.economist.com/science-and-technology/2025/04/09/could-data-centres-ever-be-built-in-orbit", "date": "Apr 09, 2025" }, { "title": "Newly renamed Starcloud raises $10M for space data centers", "url": "https://www.geekwire.com/2025/lumen-orbit-starcloud-10m-space-data-centers/", "date": "Feb 26, 2025" }, { "title": "The answer to tech’s clean energy problem? Put data centres in space", "url": "https://www.thetimes.com/business-money/companies/article/the-answer-to-techs-clean-energy-problem-put-data-centres-in-space-6pl9z5zbw", "date": "Feb 11, 2025" } ], "launches": [ { "id": 83713, "title": "Starcloud🚀 Data Centers in Space", "tagline": "Starcloud is building data centers in space to make use of 24/7 solar energy and passive cooling. ", "body": "![uploaded image](/media/?type=post&id=83713&key=user_uploads/1489854/7e0ffedf-fdc5-45ce-ade1-c091f6c96ea5)\n\n# **TL;DR** - We should train future large AI models in space to make use of abundant solar energy, cooling, and the ability to freely scale up.\n\nHey all, we're building data centers in space. We’re launching our first satellite next year, which will have the most powerful GPUs ever put in space by >100x. We will launch a larger iteration each year until we reach gigawatt scale.\n\n## **❌The Problem**\n\nFuture hyperscale data centers will put a huge strain on electricity grids, freshwater distribution, and the Western world’s permitting systems. It will simply not be possible to deploy multi-gigawatt scale data centers rapidly in the way we build data centers today.\n\n## **✨Our Solution**\n\nWe take advantage of falling launch costs to make use of inexpensive solar energy in space and low-cost passive radiative cooling, rapidly scaling up orbital data centers almost indefinitely without the physical or permitting constraints faced on Earth. This will ensure we can continue training ever larger models without destroying the environment.\n\n## **⚙️ Read our white paper**\n\nCheck out our [**white paper**](https://lumenorbit.com/wp) for more information on why space data centers are the future and how we’re going about making this happen.\n\nSee a short video on the design [here](https://www.youtube.com/watch?v=DIaKDUzFMpk).\n\n## **🏆 What we’ve achieved so far**\n\n* Booked our first launch (May 2025) and our second launch (H2 2026)\n* Set up our payload manufacturing facility in Redmond, WA\n* Designed and started building and testing our first spacecraft, with the fastest GPUs to ever launch to space by \\~100x\n* Created concept designs for our micro data center (2026 launch) and our Hypercluster data center (launching when Starship-class launch vehicles enter commercial service)\n* Secured high-value LOIs for H100 compute time in space\n\n## **🔜 What’s next**\n\n* Launch and complete our demonstrator mission, which will train the first LLM in space!\n* Prototype our micro-data center design\n* Secure contracts which incumbent hyper scalers\n\n## **👥 Our Team**\n\n![uploaded image](/media/?type=post&id=83713&key=user_uploads/1489854/22431fb2-7f3d-42f8-b2a2-32f684a6cf2b)\n\n[**Philip**](https://www.linkedin.com/in/johnstonphilip/), CEO, is a second-time founder who has worked at McKinsey & Co. working on satellite projects for national space agencies. Philip has an MPA in National Security & Technology from Harvard University, an MBA from Wharton, an MA in Applied Mathematics & Theoretical Physics from Columbia University, and is a CFA Charter holder.\n\n[**Ezra**](https://www.linkedin.com/in/ezrafeilden/), CTO, has a decade of experience with satellite design, specializing in deployable solar arrays and large deployable structures. Ezra comes from Airbus Defense & Space (SSTL) and Oxford Space Systems, where he worked on missions including NASA's Lunar Pathfinder. Ezra has a PhD in Materials Engineering from Imperial College London.\n\n[**Adi**](https://www.linkedin.com/in/adioltean/), Chief Engineer, was previously a Principal Software Engineer at SpaceX, where he was part of the Starlink network team enabling Starlink for in-motion users, including Starship. Before that, he deployed the first LLMs on large GPU production clusters at Microsoft, where he also delivered more than 25 patents in more than two decades. Adi holds degrees in Computer Science and Chemistry from the top two universities in Bucharest.\n\n## **🙏 Asks**\n\nJoin our team! If you are or know any hardcore engineers with experience in aerospace or data center infrastructure and are interested in working with the Starcloud team, please get in touch!\n\n[**https://www.starcloud.com/careers**](https://www.lumenorbit.com/careers)\n\nWe are also interested in talking to operators and customers of hyperscale training clusters who are contemplating the scale-up from megawatts to gigawatts.", "url": "https://www.ycombinator.com/launches/LmD-starcloud-data-centers-in-space", "votes": 44, "created_at": "2024-09-03T19:42:08.218Z" } ] }, { "id": 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": 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": 30083, "name": "Curo", "slug": "curo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/451b623d0d8d5338642a73d361cc7f15a4cca9bc.png", "website": "https://www.curocharging.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Acquired by Inspiration Mobility Group.\r\n\r\nFleet EV charging and parking marketplace that scaled to 15+ states for companies like Google, Uber, Zoox, Zipcar, Cox Enterprises, Boston Properties and Irvine Company.\r\n\r\nRaised $6M+ from YC, Blue Bear, Not Boring, Eniac and others.\r\n\r\n\r\n\r\n\r\n\r\n", "one_liner": "Electric fleets park and charge anywhere with Curo", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Automotive", "launched_at": 1728353435, "tags": [ "Transportation", "Energy", "Automotive" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Acquired", "industries": [ "Industrials", "Automotive" ], "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/curo", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/curo.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/curocharging/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/451b623d0d8d5338642a73d361cc7f15a4cca9bc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1159251, "full_name": "Kieran White", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at Mantle, the pit crew for deployed machines and robots.\n\nPreviously founded Curo (YC F24), the world's largest private EV charging network. Curo scaled to 5,000 stations with Uber, Zoox and Google across 15 states before acquisition by Inspiration Mobility Group ($415M raised).\n\nBefore Curo I joined Tesla at 18 as the youngest employee.", "is_active": false, "linkedin_url": "https://linkedin.com/in/kieran-luke-white", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7be1f2e4cf0534df456c1bb228513defaf8da7bc.jpg" }, { "user_id": 1159581, "full_name": "Andrew Porter", "title": "Founder/CTO", "founder_bio": "Andrew Porter co-founded and was CTO of Curo (YC F24, acquired), where he used ML to consolidate parking and charging data and built its marketplace and charging app. At Candle, he builds the mobile app, backend, recommendations, games like Pictionary with AI, and tools for video generation and creator management. Previously, he worked at DraftKings. He holds degrees in mathematics and economics from Occidental College.", "is_active": false, "linkedin_url": "https://linkedin.com/in/andrew-porter-a10953b4", "x_url": "https://x.com/EnergizedAndrew", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/df9c35d2ec3234ecc500bed47cdd216c41ba4963.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 84703, "title": "Curo: Electric fleets lease EV charging spots from owners", "tagline": "Electric fleets park and charge anywhere with Curo.", "body": "👋 Hey everyone! We’re [Andrew](https://www.linkedin.com/in/andrew--porter/) and [Kieran](https://www.linkedin.com/in/kieran-luke-white/), co-founders of [Curo](http://www.curocharging.com)!\n\n# **TL;DR**\n\nOne of the key reasons **fleets struggle to electrify** is **charging issues**, and **EV charger usage** is **painfully low**. Curo’s platform helps EV charger owners lease their charging spots during low usage times to fleets when they need them most. Curo helps **fleets electrify instantly**, at a **fraction of the cost** and **increases** **EV charger owners’** **revenue by 5x**. We work with some of the largest charging owners and fleets, helping us to **grow 100% MoM for the past 4 months.** \n\n\n\n# 🤯 **Problem: Electrification faces two huge challenges**\n\n1. 🚘 **Fleets** **(especially distributed ones)** **struggle** **to electrify at scale**: EV chargers can cost thousands of dollars and take years to install, even then installation may not be feasible due to land ownership and operating model. It’s really hard. \n2. 🔌 **EV charger usage** **and** **return on investment is painfully** **slow**: private chargers can’t be monetized due to security and liability barriers, with public chargers not being set up for long-term, exclusive use.\n\nBy 2030, there are expected to be 9 million electric vehicles in fleets, which, together with public vehicles, requires support from an estimated 40 million new EV chargers. We currently have well under 1 million installed. That’s pretty daunting.\n\nEV chargers have to be used way more effectively for us to stand a chance at supporting millions of electric fleet vehicles.\n\n# 🛟 **Solution: Curo - The Virtual Depot Platform**\n\nCuro’s platform helps EV charger owners lease their charging spaces during low usage times to fleets when they need them most (picture an office building hosting a fleet overnight when employees go home).\n\n![uploaded image](/media/?type=post&id=84703&key=user_uploads/1159251/862f55be-f893-4677-bad3-66b353890cf4)\n\nWe make it easy for fleets to identify, plan, and launch at spots they’ve leased and derisk EV charger owners sharing their assets, including legal, security, insurance, and payments.\n\n![uploaded image](/media/?type=post&id=84703&key=user_uploads/1159251/51d0e977-5097-4a60-90b8-7461fd08d490)\n\nCuro allows fleets to park and charge anywhere using immediately available and scalable infrastructure, with no upfront cost. We call this a \"Virtual Depot” because each site has the utility of a fleet’s traditional depot, distributed in a virtual network.\n\n# **🙏 Ask: Share this post**\n\n* Do you know **anyone with EV chargers at a commercial property** or have an interest in installing them? We’d love to help monetize their space.\n* Does a **fleet manager** come to mind? We can help them park and charge right away. \n\nWe’ve distributed one of Tesla's largest electric fleets and worked on awesome things at DraftKings. We’re excited to be building with the YC community.\n\nThanks for reading!\n\nTeam Curo\n\n![uploaded image](/media/?type=post&id=84703&key=user_uploads/1159251/0d87179d-8201-4a16-9ab4-f15687832642)\n\n![uploaded image](/media/?type=post&id=84703&key=user_uploads/1159251/6ab8934d-947f-4a32-a717-7782d98217d2)\n\n", "url": "https://www.ycombinator.com/launches/M2B-curo-electric-fleets-lease-ev-charging-spots-from-owners", "votes": 35, "created_at": "2024-10-11T14:55:42.709Z" } ] }, { "id": 30095, "name": "Consus", "slug": "consus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bbe9d08b52107f4ba06be791e9808aa96113cd5f.png", "website": "https://www.consus.io", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Consus is an API that routes all AI requests to secure and compliant infrastructure. Aerospace and defense companies use the API to access the latest models without worrying about paperwork or infrastructure engineering. Consus manages the compliance and backend work so you can plug AI into an application and get to work. ", "one_liner": "The fastest and cheapest way to use AI with ITAR or CUI data. ", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1732222348, "tags": [ "Developer Tools", "Aerospace", "Defense", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "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/consus", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/consus.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/consusindustries", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bbe9d08b52107f4ba06be791e9808aa96113cd5f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 274840, "full_name": "Eric Magliarditi", "title": "Founder/CEO", "founder_bio": "Let's transform government requirements. \n\nI spent most of my career launching government satellites at SpaceX. Before that, I wrote software to analyze satellite constellations and built computer vision models at MIT.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ericmagliarditi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/434db2928d9e2253ad3a24e8d49dd49c8e60916f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85782, "title": "Consus - The Github for Government Documents", "tagline": "Stop pulling your hair out when working with government specs and requirements", "body": "**TLDR:**\n\nConsus eliminates the chaos of government documents. We automatically verify active revisions, alert you to updates, and extract relevant requirements from complex documents. Help your team win more contracts and execute faster with Consus.\n\n\n\n**The Problem**\n\nGovernment requirements slow companies down, particularly in aerospace & defense. When handed stacks of government requirements, program managers are expected to figure it out - with no guidance. Currently, they:\n\n   ❌ Waste hours searching for the correct document version (often government counterparts don’t know)\n\n   ❌ Sort through thousands of pages to find relevant information or requirements\n\n   ❌ Avoid the headache by offloading to busy engineering teams\n\n   ❌ Cross their fingers that they didn’t miss any requirements that will hurt the team in the future\n\n**The Solution**\n\nConsus transforms document compliance from a burden to a competitive advantage:\n\n   ✅ Instant access to verified, active documents\n\n   ✅ Automatic alerts for document updates affecting your projects\n\n   ✅ AI-powered insights that surface relevant requirements in minutes\n\n   ✅ One-click requirement extraction \n\nWe work directly with government organizations to identify active document revisions. Our extraction tools get you the information you care about, and you will never have to guess the source of a requirement. \n\nIf you are struggling to find and understand government documents, let’s [chat](https://calendly.com/eric-consusindustries/30min)!\\\n\\\n**The “Team” 🚀**\n\nI spent the bulk of my career at SpaceX where I launched critical national security missions. Government requirements are important, but they need to be dramatically changed in form & distribution to unlock critical capabilities. If you resonate with the pain, let me know!\n\n_Standing under a big rocket 🙂_\n\n![uploaded image](/media/?type=post&id=85782&key=user_uploads/274840/0f7a315b-2352-43b4-b4de-001299104a93)\n\n", "url": "https://www.ycombinator.com/launches/MJa-consus-the-github-for-government-documents", "votes": 44, "created_at": "2024-11-22T01:25:36.584Z" } ] }, { "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": 30130, "name": "Apolink", "slug": "apolink", "former_names": [ "Bifrost Orbital" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/22c2bd83d673e7df9f3a78b87b760253845534a0.png", "website": "https://apolink.space", "all_locations": "San Francisco, CA, USA", "long_description": "Apolink is a next-generation data relay network designed to provide real-time, low-latency connectivity for satellites in low Earth orbit. 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Statistics & Computer Science @ Columbia", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kaylord/", "x_url": "https://x.com/kayolord", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3d997ffbbc91241def17c17986069ad8fdeb8628.jpg" } ], "jobs": [ { "id": 74235, "title": "All roles", "url": "https://www.ycombinator.com/companies/enhanced-radar/jobs/72uOEyN-all-roles", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$160K - $250K", "equity_range": "0.50% - 5.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "C++", "Go" ] } ], "news": [], "launches": [] }, { "id": 30174, "name": "Revise Robotics", "slug": "revise-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4e9ac60aa5b0583ce914c6dee2848e5b72c4b4f.png", "website": "https://www.reviserobotics.com/", "all_locations": "New York City, NY, USA", "long_description": "E-waste recycling facilities spend most of their time and effort sifting through discarded electronics, searching for valuable devices, refurbishing them, and reselling them in second-hand markets.\r\n\r\nOur first product is an AI-enabled robotic system that integrates with these facilities to assess and refurbish hundreds of laptops a day without any human intervention. The system tests laptops, wipes their hard drives, photographs them, and posts them on online marketplaces for resale, regardless of model, manufacturer, or operating system.", "one_liner": "Automating refurbishment of $1T in consumer electronics", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1737068200, "tags": [ "Robotic Process Automation", "ClimateTech", "Electronics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/revise-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/revise-robotics.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/revise-robotics/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4e9ac60aa5b0583ce914c6dee2848e5b72c4b4f.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/30227/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAODIUI2QA%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022724Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJGMEQCICdQyGY%2BbftNLxtKIYzFPxdUXttuiP0N09%2F%2BUfBHiBuhAiBOSl161zU1GSzXg078adXidT%2BI1mNTN00xIiFabrEuZSrlAwg6EAAaDDAwNjIwMTgxMTA3MiIMkex8rUdJQnYvqkb2KsIDZvHjdb5Nj1eMSDUiIIyyiwfJ8RyPFxer5o1XPlMS8x%2FtN9n%2F7PvS5Wd7oFPHi1qVxZAOUh%2BsJ%2B%2BXOPvWZ3Ae6ZZbt6%2BpSxxIqhHajGvQPEffXaUpP5qEh5zdOBvoNiFOEcL3U5kvAXPdFAeyEQUSC22Zz6qlwEbD4gyjAVIG69Bq2BqpO5gGA142dDrsMk9Fpvvrw4sUrmoFsqVRjQeNNnbJ6kGBUpNWGmGUg9xVdF1g6zjy5AOLq9gaZMWpGvdL2up4UE8tZcCtovhQX7LttuknA2oMDZbhb%2Bm1111BTyQwfpo0mzYMWvLSVFktebdbrXNkCCYHuwzkc%2FAYLLBCHcwr959rGhfijkmBq8zJ6L%2F3m2hFjzDHCnZYPOz0rFWk1O%2FdpaLpo4%2B83owIv8pdLkfxnSwz7jpV83o7ddFuQwi3GyYhgDV9NKraaZUPDf35OffhHBAa9LNH9KBtXE%2B9EJapzAmTZRHX0y1pAaJdqK7NnCs3JXj5MlJbG%2Fk7qe6hMwsDLiNtlbMQ85QzyJJHGU4y3dM2z2PBRjDSvRfVwapQjnLimR6h7fxLZHe1JssWKCLL3Y7dNZqEc8LFx7ZPmRWFMOj92tYGOqYB1OGPMkYIGSgzUnwJVB6Fm37ysfFBg0lS7An85D5284tv08ntQNXM%2B3NjFf0CnSg8DB6Uagn6Pf8Hz0vPosKjbkPeKHdUWICNI6ZBqrBsIZuFlEJamVl3d%2B5M5pi50RkfxaC0jUNRP0kzypvFoXoBWM5zGuVWthjEJhSlwkhKt8FAj4eChg9bDGTNeM9DkgbxKs0YI84QCmRK0pRtLAv0T11YvQ%2FTTg%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=a3315cd1ec85a06bb175d3d79563ec6a79b849bc96062b59f3ad085e840ea3d8", "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 943950, "full_name": "Rupesh Jeyaram", "title": "Founder/CEO", "founder_bio": "Building AI-enabled robotic systems to refurbish and resell used electronic devices, starting with laptops. Wharton '24, Caltech '20", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rupesh-jeyaram/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e904201852f0dfce14feb1c345d0be02af322b85.jpg" }, { "user_id": 1985135, "full_name": "Antonio Monreal", "title": "Founder/CTO", "founder_bio": "Developing robots for electronics refurbishment", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/antonio-monreal-71b0751b5/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0a1cb5d67efed639fbb5772386daa39d0e6a022.jpg" } ], "jobs": [ { "id": 93937, "title": "Business Development Intern – Summer/Fall 2026", "url": "https://www.ycombinator.com/companies/revise-robotics/jobs/cNqu0M0-business-development-intern-summer-fall-2026", "location": "New York City", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$8K - $12K / monthly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 93938, "title": "Engineering Intern — Summer/Fall 2026", "url": "https://www.ycombinator.com/companies/revise-robotics/jobs/peSRWPy-engineering-intern-summer-fall-2026", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$8K - $12K / monthly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 87007, "title": "Revise Robotics – Automated Electronics Refurbishment 🦾 💻", "tagline": "Our robot tests, refurbishes, and resells used electronics devices!", "body": "**At Revise Robotics, we’re building automated systems to refurbish and resell used electronics.**\n\n![uploaded image](/media/?type=post&id=87007&key=user_uploads/943950/79b9f19d-2610-4a84-b329-7b8624645181)\n\nEvery year, Americans discard more than **30 million computers**. Many of these devices find a second life on the resale market, extending their usefulness and reducing their environmental footprint.\n\nHowever, the process – inspection, data-wiping, reprogramming, and packaging – is **extremely** **tedious and time-consuming**, limiting how many devices can actually re-enter circulation.\n\nWe’re changing that. With robotics, computer vision, and AI, we’re breaking down these barriers and advancing a more circular electronics industry 💻\n\nWe just completed our first pilot project last month, and we are excited to be iterating and gearing up for our second pilot at the end of February!\n\n**Ask**: Introductions to e-waste recycling facilities or IT asset management/disposition companies. Please reach out if there’s someone you think we should speak to! [rupesh@reviserobotics.com](mailto:rupesh@reviserobotics.com) \n\n# **Full Demo Video**\n\n[**https://youtu.be/QMFTsSG-FyQ**](https://youtu.be/QMFTsSG-FyQ)\n\n# **Still Shot**\n\n![uploaded image](/media/?type=post&id=87007&key=user_uploads/943950/ca646ef9-8d31-4865-93cd-6b629a1612c3)\n\n", "url": "https://www.ycombinator.com/launches/MdL-revise-robotics-automated-electronics-refurbishment", "votes": 27, "created_at": "2025-01-21T16:43:12.194Z" } ] }, { "id": 30190, "name": "Steinmetz", "slug": "steinmetz", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a01f59af390bfd92ad55d1f62a2729543663f92.png", "website": "https://steinmetzmotors.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Steinmetz is building the next generation of American power electronics. 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How did you come up with the idea? How did you decide to be a founder?)", "answer": "We both grew up in the suburbs of Toronto and graduated from Mechatronics Engineering at the University of Waterloo. Despite similar journeys we didn’t finally meet until we interned together at Neuralink during our Junior year. We bonded over our passion for engineering and stayed in touch into our Senior year where we built the first Steinmetz inverter. We have both worked in the automotive industry working with low and high voltage systems at Tesla and have experience across the hardware stack. Between us we have worked on billion transistor GPUs, space systems, neural interface ICs, billion record databases, rail systems, and firmware for mass produced consumer electronics. Steinmetz marks a new chapter for us where we are leveraging our broad experience across the hardware stack to enable the next generation of electric vehicles." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Our mission is to accelerate the adoption of electric vehicles of all forms (planes, trains, cars, boats). To achieve this we aim to improve the performance of electric vehicles while **reducing cost** and **volume**. We will enable vehicles that beat their combustion engine equivalents on all metrics. Electric power-trains are capable of achieving nearly **perfect efficiency** converting stored energy to motion which is not possible in combustion engine vehicles. Through the refinement and adoption of electric vehicles we can greatly reduce the cost to transport people and goods. 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Held diverse engineering roles at Neuralink, Apple, Parallel Systems, and Ford.\n\nMechatronics Engineering graduate, University of Waterloo. Led the Formula Electric team, driving innovation in EV performance.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/owen-brake-39363a169/", "x_url": "https://x.com/OwenBrakes", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/84d79cdf3390645334974e2db3c5cdb2f4db2760.jpg" }, { "user_id": 1381592, "full_name": "Ethan Childerhose", "title": "Founder", "founder_bio": "Co-founder and CTO at Steinmetz. Previously at Rocketlab, Nvidia, Tesla, and Neuralink. I've worked across the hardware stack from analog transistor level design to 100 lb mechanical fixtures for environmental testing. My work has reached the moon, been mass produced millions of times, and processed the faintest of signals from the human brain.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ethan-childerhose", "x_url": "https://x.com/BigCrete", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f860e7627991e4a1a28061c484d3bfa46868906.jpg" } ], "jobs": [ { "id": 95359, "title": "Electrical Engineer", "url": "https://www.ycombinator.com/companies/steinmetz/jobs/h4Qjisc-electrical-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$100K - $175K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 95360, "title": "Generalist Hardware/Firmware", "url": "https://www.ycombinator.com/companies/steinmetz/jobs/wMTbVhT-generalist-hardware-firmware", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$100K - $175K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 95361, "title": "Firmware Engineer", "url": "https://www.ycombinator.com/companies/steinmetz/jobs/4dbvLf3-firmware-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Embedded systems", "salary_range": "$100K - $175K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Python", "Rust", "Firmware", "Microcontrollers" ] } ], "news": [], "launches": [ { "id": 88019, "title": "Steinmetz - Hardware for the Next Generation of Vehicles", "tagline": "Steinmetz, the engine of electric vehicles", "body": "Hey YC,\n\nWe are Ethan and Owen, building the engine of electric vehicles. Motor controllers with 3x higher power densities, that remain cost competitive with existing solutions.\n\n\n\n# The Problem\n\nAutomotive manufacturers are quickly transitioning to electric vehicles but initial offerings remain expensive and are largely unprofitable. This has led to slow adoption compared to their combustion engine counterparts.\n\nWe have both witnessed while working at Tesla, the immense difference in design and cost between Tesla's vehicles, and EVs from existing vehicle manufacturers. Incumbent part suppliers and manufacturers are skilled in the intricate mechanical design of combustion engine vehicles, but lack the electrical expertise for EVs which are primarily chips and PCBs.\n\n# Our Solution\n\nAt Steinmetz, we are starting with the inverter (motor controller). This lies between the battery of the vehicle and the motor--it converts the DC power from the battery into 3 phase AC for the motor. Using modern power electronics techniques and tight systems integration, we are able to deliver a motor controller which achieves 3x greater density than the state of the art, at equal or greater efficiency. This allows us to bring down not only the unit cost of inverters in vehicles today but, through greater density and higher efficiencies, the cost and performance of the whole vehicle.\n\n![uploaded image](/media/?type=post&id=88019&key=user_uploads/1381592/997953eb-7e3b-4ba7-9d07-6a1d21f3c43f)\n\nTo give context for the density improvements here, our bandgap product is able to drive a peak power of 200kW through the equivalent volume of 3 yerba mate cans. This is the same power draw as 450x 4090 GPUs or 6.5 server racks fully populated with H100 GPUs (208 GPUs).\n\n![uploaded image](/media/?type=post&id=88019&key=user_uploads/1381592/981f5792-0f6b-42c9-bb4a-dee43a2c8e2b)\n\n# We are on a mission to simplify electric vehicle hardware and accelerate adoption\n\nIf you are working on any electric vehicle (trains, cars, boats, snowmobiles, cranes, submarines, planes, tractors, etc.) learn more at [steinmetzmotors.com](https://steinmetzmotors.com/) or send us an email: [founders@steinmetzmotors.com](mailto:founders@steinmetzmotors.com)\n\n![uploaded image](/media/?type=post&id=88019&key=user_uploads/1381592/28930e11-55a3-4eda-a40d-693b603f0c01)\n\n![uploaded image](/media/?type=post&id=88019&key=user_uploads/1381592/a0ad2acc-de3a-4227-be09-3a8a768f4c96)\n\n", "url": "https://www.ycombinator.com/launches/Mtf-steinmetz-hardware-for-the-next-generation-of-vehicles", "votes": 27, "created_at": "2025-02-25T17:47:52.712Z" } ] }, { "id": 30194, "name": "Splash Inc.", "slug": "splash-inc", "former_names": [ "SplashAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1d27e6c39170346215eab6057844b44c4a3fe089.png", "website": "https://splash9.com/", "all_locations": "Los Angeles, CA, USA", "long_description": "Splash is developing the next generation of autonomous surface vessels (ASVs) to provide National Security and defend critical assets such as oil rigs and shipping terminals. Our long-term vision is to make traditional naval vessels obsolete by creating a fleet of low-cost and versatile boats which will be able to dominate the seas. Our expertise in mass manufacturing, engineering and quickly scaling operations will make this vision a reality. ", "one_liner": "Autonomous patrol-boats for National Security ", "team_size": 9, "industry": "Industrials", "subindustry": "Industrials -> Drones", "launched_at": 1739822625, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Drones" ], "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/splash-inc", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/splash-inc.json", "year_founded": 2024, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/105801839/admin/feed/following/", "x_url": "https://x.com/Splash_Robotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1d27e6c39170346215eab6057844b44c4a3fe089.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3d69fd83ce01e8a3563d698f505c797d3688963c.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2193228, "full_name": "Ivan Avanesov", "title": "Founder/CEO", "founder_bio": "Co-Founded Splash with the mission of building the Navy of the future after working on marine robotics research projects for the past 8 years. Previously founded Vosentech and grew it to become the largest supplier of mini smoke machines in the world. Designed, manufactured and sold 10,000+ generators to companies such as SpaceX and Apple as well as to many military customers and agencies such as NASA and Los Alamos to check airflow movements in complicated systems. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ivan-avanesov-2b511515a/", "x_url": "https://x.com/i_vanesov", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d61746cc8c1c741593554fd1ece087ff7e3048da.jpg" }, { "user_id": 2238795, "full_name": "Marcell Veszpremi", "title": "Founder/CTO", "founder_bio": "Co-Founded Splash Inc. with the mission of building the Navy of the future, leveraging 6+ years in robotics, embedded systems, and IoT. At UCLA’s RoMeLa, I worked on Artemis—the award-winning humanoid champion of RoboCup 2024. Previously at Verkada, I engineered embedded software and battery management for enterprise security alarms. My work at the Ozcan Research Lab, highlighted in multiple publications, has driven breakthroughs in low-cost, point-of-care medical devices.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/veszpremimarcell/", "x_url": "https://x.com/m_veszpremi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5934894edc8f29b4280d130e889253af3c52958f.jpg" } ], "jobs": [ { "id": 74375, "title": "Full Stack Software Engineer", "url": "https://www.ycombinator.com/companies/splash-inc/jobs/GR9HdgA-full-stack-software-engineer", "location": "El Segundo, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $160K", "equity_range": "0.01% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Kubernetes", "Python", "React", "Internet of Things (IoT)", "gRPC" ] }, { "id": 81813, "title": "Robotics Software Engineer", "url": "https://www.ycombinator.com/companies/splash-inc/jobs/IfgOuhs-robotics-software-engineer", "location": "El Segundo, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$120K - $200K", "equity_range": "0.01% - 0.60%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "C++", "Python" ] }, { "id": 87567, "title": "Mechanical Engineer (Mid-Senior Level)", "url": "https://www.ycombinator.com/companies/splash-inc/jobs/tXYqg78-mechanical-engineer-mid-senior-level", "location": "El Segundo, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$100K - $160K", "equity_range": "0.01% - 0.50%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "CAD Design" ] }, { "id": 100697, "title": "Frontend Engineer (UI/UX)", "url": "https://www.ycombinator.com/companies/splash-inc/jobs/W0qB9q3-frontend-engineer-ui-ux", "location": "El Segundo, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$100K - $160K", "equity_range": "0.01% - 0.30%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "React", "TypeScript", "gRPC" ] }, { "id": 100699, "title": "General Application", "url": "https://www.ycombinator.com/companies/splash-inc/jobs/tagXRig-general-application", "location": "El Segundo, CA, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$60K - $120K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 112124, "title": "Maritime Logistics Specialist ", "url": "https://www.ycombinator.com/companies/splash-inc/jobs/6PwsQ3K-maritime-logistics-specialist", "location": "Inglewood, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$60K - $110K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Splash Industries robo-restocks warships at RIMPAC", "url": "https://www.axios.com/2026/07/22/rimpac-splash-typhoon-drone-boat", "date": "Jul 22, 2026" }, { "title": "Splash Industries robo-restocks warships at RIMPAC", "url": "https://www.axios.com/2026/07/22/rimpac-splash-typhoon-drone-boat", "date": "Jul 22, 2026" }, { "title": "Ubiquity Backs Splash: The only startup autonomously resupplying US Navy warships", "url": "https://www.nerdyandearly.com/p/ubiquity-backs-splash-industries?utm_campaign=email-half-post&r=5e3n5y&utm_source=substack&utm_medium=email", "date": "Jul 21, 2026" }, { "title": "CAMRE, FLEETWERX Conduct First-of-Its-Kind Digitally Crewed Surface Vessel Resupply During RIMPAC 2026", "url": "https://www.navy.mil/Press-Office/News-Stories/display-news/Article/4551621/camre-fleetwerx-conduct-first-of-its-kind-digitally-crewed-surface-vessel-resup/", "date": "Jul 20, 2026" }, { "title": "Can new drones, 3D printers defeat distance’s tyranny? RIMPAC aims to find out - Defense One", "url": "https://www.defenseone.com/technology/2026/07/can-new-drones-3d-printers-defeat-distances-tyranny-rimpac-aims-find-out/414825/", "date": "Jul 15, 2026" } ], "launches": [ { "id": 87871, "title": "Splash - Autonomous Patrol Boats for National Security", "tagline": "Guarding critical infrastructure against maritime threats", "body": "At Splash, we’re building the next generation of unmanned surface vessels to make the seas a safer place.\n\n\n\n**The Problem**\n\nMaritime threats are evolving faster than ever before and our most critical assets are at risk. Conflicts around the world have shown the threat autonomous boats pose to both commercial and military vessels, as well as to coastal infrastructure. There is currently no effective defense available.\n\nDomestically, thousands of miles of our maritime borders remain unsecured as the Coast Guard simply doesn’t have the resources to patrol such vast distances. This allows narco-submarines to enter our country unchallenged.\n\nInternationally, certain countries are facing the very real possibility of asymmetric Naval warfare and it is becoming clear that the leaders in autonomy will have major advantages in potential conflicts.\n\nAs our adversaries continue to advance in maritime robotics, these threats will only become more prevalent, and something must be done.\n\n**Our Solution**\n\n![uploaded image](/media/?type=post&id=87871&key=user_uploads/2193228/eba2afb1-f728-4380-a877-00fb0f16326f)\n\nWe’re building autonomous surface vessels (ASVs) to guard maritime borders, support Naval operations and provide security presence around critical pieces of infrastructure such as oil rigs and shipping terminals. Our algorithms will be able to identify suspicious vessels, classify threats and react immediately and autonomously. We’re building both the hardware and software in-house and from the ground up to ensure that everything integrates perfectly so that users can focus on their core missions.\n\nOur vessels are modular, allowing for a variety of payloads from side-scan sonars for bathymetric mapping to deployable UAVs for wind turbine inspections. Although security is our primary focus, there are countless commercial use cases as well.\n\n**Our Progress**\n\nOver the past month, we designed, built and tested (then sunk and re-built) two iterations of our patrol boat. In fact, we moved so fast that we finished building our second one before the diver could even fish out the first. As they say, move fast and break things!\n\nWe’ve recently implemented full autonomy, and have already driven over a hundred miles in San Francisco bay without a single human input.\n\n**The Team**\n\nWe’ve been friends for a decade, and we spent 6 of those years building our previous company in which we designed and manufactured airflow testing tools for government agencies and large industrial companies. Our customers include NASA, Tesla, the US Navy and even Los Alamos National Labs! We’ve manufactured tens of thousands of units across a few dozen SKUs so understand exactly what it takes to make a product at scale, and then sell to the largest of customers.\n\nAs hobbies, we’ve built everything from RC planes to electrohydrodynamic thrusters to deep-sea robots so Splash is a dream-come-true for us. What could possibly be more fun than building a 10ft-long AI-powered jet-boat that goes 70mph? Well… possibly a 100ft one 🙂\n\n**Our Ask**\n\nWe’re always looking to further grow our Defense, Maritime and Oil&Gas connections, so if you know any decision-makers who work in these sectors, we’d love to chat at [founders@splash9.com](mailto:founders@splash9.com)", "url": "https://www.ycombinator.com/launches/MrH-splash-autonomous-patrol-boats-for-national-security", "votes": 57, "created_at": "2025-02-20T19:29:08.780Z" } ] }, { "id": 30201, "name": "Dartboard", "slug": "dartboard", "former_names": [ "Dartboard Energy" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e6b5a6279db8d201fef41a88a35c1d4c0828744e.png", "website": "https://dartboard.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Dartboard is the modern remote operations center for hardware fleets. We pair expert operators with AI agents to identify, diagnose, and fix issues faster.", "one_liner": "AI-native remote operations center for hardware fleets", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1739492408, "tags": [ "Hardware", "Robotics", "Energy", "AI", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/dartboard", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/dartboard.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dartboard-ai/", "x_url": "https://x.com/dartboard_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e6b5a6279db8d201fef41a88a35c1d4c0828744e.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": 44103, "full_name": "Rohun Ati", "title": "Founder/CEO", "founder_bio": "CEO at Dartboard. 10th employee and data scientist at Second Measure (YC S15), stayed through its acquisition by Bloomberg. Built the data pipelines for a first-to-market credit card transaction dataset, now powering the Bloomberg Terminal. Later worked at AutoGrid forecasting battery revenues across U.S. power markets. Built ERCOT benchmarking software used by utility-scale battery operators including Spearmint Energy and UBS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rohunati", "x_url": "https://twitter.com/rohunati", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1797a7c71f5ed6498665c5cf7dde48d71e005ff5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87687, "title": "Dartboard Energy: AI Analyst for Electricity Markets", "tagline": "Uncover missed revenue for grid-connected battery owners while staying compliant", "body": "We’re building an AI Analyst for Electricity Markets, starting with the owners of grid-connected battery projects.\\\n\\\n\n\n**Context**\n\nBattery owners earn revenue by charging (buying) and discharging (selling) power in electricity markets.\n\nThe goal is to maximize revenue within constraints – some of which are physical, like battery capacity, duration, and efficiency, while others are regulatory. This is challenging because (1) markets are volatile and (2) complex and frequent regulatory updates make it difficult to assess both the revenue impact of rule changes and compliance risks.\n\n**Problem**\n\nTo make money on the grid, battery owners must analyze market data and keep up with thousands of constantly changing regulatory documents. Electricity markets work like auctions -- every 5 minutes, battery owners decide how much power to buy or sell and at what price. Even the most data-savvy teams can’t keep up, leaving owners with little visibility into how others are making money. And rule changes aren’t just small tweaks – they can completely upend the market. To avoid financial penalties, battery owners spend millions on lawyers and consultants just to stay compliant.\n\n**Solution**\n\nDartboard is an AI Analyst that uncovers missed revenue for owners of grid connected batteries while ensuring compliance. We provide value in two key ways:\n\n* **Market Intelligence:** We ingest historical market data so that owners can evaluate optimization strategies and uncover money they might be leaving on the table.\n* **Regulatory Guidance:** Our AI Analyst, trained on the latest rule changes, translates complex regulations into clear, actionable insights — helping owners navigate compliance without the need for expensive consultants.\n\n**Asks**\n\nIf you know any developer/owner/operators of grid-scale battery projects, energy traders, or energy-focused private equity investors, we’d love to meet them. Please reach out at [**rohun@dartboardenergy.com**](mailto:rohun@dartboardenergy.com).\n\n![uploaded image](/media/?type=post&id=87687&key=user_uploads/44103/4c267efd-7f8c-4bec-b718-7d5b6a16c3b4)\n\n", "url": "https://www.ycombinator.com/launches/MoJ-dartboard-energy-ai-analyst-for-electricity-markets", "votes": 23, "created_at": "2025-02-14T01:49:36.560Z" } ] }, { "id": 30202, "name": "Astro", "slug": "astro", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/988eb2e2b20c2a99fe4d96b54932cdebea0632d4.png", "website": "https://www.astroenergy.ai/", "all_locations": "New York City, NY, USA", "long_description": "Astro develops power-ready land for AI data centers. Power is now the bottleneck for new data centers, and Astro’s models find the sites that have it. Founder Alex Fuster traded grid congestion at Citadel across US power markets, predicting where the grid would run out of room.", "one_liner": "Power-ready land for AI data centers", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1739813505, "tags": [ "Solar Power", "Energy", "Renewable Energy", "ClimateTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "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/astro", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/astro.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/astro-energy-inc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/988eb2e2b20c2a99fe4d96b54932cdebea0632d4.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": 2392441, "full_name": "Alex Fuster", "title": "Founder/CEO", "founder_bio": "Founder and CEO at Astro. Traded grid congestion at Citadel. Stanford BS in physics and MS in computer science.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-f-573560101/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f727d7a0d23b22ac364221ad69d6a33eda2ece67.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87853, "title": "Astro: The world’s first AI energy developer", "tagline": "We use AI to de-risk early development, creating ready-to-build renewable energy projects", "body": "Astro uses AI to find and buy land for new renewable energy projects, secure agreements to connect them to the power grid at minimal costs, and then sell these development-ready projects to larger energy companies.\n\n**The Problem**\\\nThe renewable energy transition faces a critical bottleneck: the US needs to add 2,000 gigawatts of new power generation by 2035 to support growing electricity demand from AI data centers and electrification.  Building these new power plants requires finding suitable land and connecting them to the grid - but this is where projects fail. Most potential locations are unprofitable because developers discover too late that they need to spend millions upgrading power lines and infrastructure for grid connection. Traditional energy developers spend months evaluating single locations, only to have projects die when they discover these hidden costs.\n\n**The Solution**\\\nAstro’s proprietary AI models predict these grid connection costs upfront, enabling it to buy the most profitable land before costs increase. Astro’s models handle all the early development work - from finding the right location to securing grid connection agreements - creating a pipeline of development-ready projects that larger energy companies can immediately start building.\n\n**Backstory**\\\nI’m Alex, I studied physics + computer science at Stanford and was an energy trader at Citadel. While trading energy markets, I discovered that power grid congestion patterns are highly predictable - but developers aren’t using this data. This insight led me to build models that identify the best land to buy and prepare for larger developers to build on.\n\n**Ask**\\\nWe’re looking to connect with:\n\n* Energy companies interested in buying development-ready projects (land secured + grid connection approved)\n* Landowners and brokers near major transmission lines in central Illinois\n* Power systems engineers with interconnection study experience\n\nIf you’re interested in accelerating the clean energy transition or have expertise in any of these areas, I’d love to chat! You can reach me at [alex@astroenergy.ai](mailto:alex@astroenergy.ai)\n\n![uploaded image](/media/?type=post&id=87853&key=user_uploads/89898/f2583845-46e4-471f-8932-1fbc09d4e105)\n\n", "url": "https://www.ycombinator.com/launches/Mqz-astro-the-world-s-first-ai-energy-developer", "votes": 37, "created_at": "2025-02-20T17:18:28.843Z" } ] }, { "id": 30210, "name": "Conntour", "slug": "conntour", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c972b0925a72b8923c709c1b48733059aafb73d3.png", "website": "https://www.conntour.com/", "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel", "long_description": "Conntour enables government agencies to query their video - from security cameras, body cams, and drones.\r\n\r\nUsers can search past footage (“Find a man with tattoos on his left arm”), configure real-time alerts (“Notify me if someone climbs over the wall”), and extract data (“How many pickup trucks entered yesterday?”).\r\n\r\nUnlike traditional video analytics solutions, which are limited to fixed parameters (like a weapon, bag, or car color), Conntour supports an unlimited range of highly specific scenarios described in plain language. This enables a single human to monitor thousands of cameras, or find a specific moment in minutes instead of days.\r\n\r\nWhat makes Conntour's technology unique is its ability to process video using natural language at scale, fully on-premises, with minimal hardware requirements. The system is deployed with mission-critical teams at leading intelligence and homeland security agencies.\r\n\r\nConntour is backed by top-tier investors including General Catalyst and Y Combinator, was selected for the first-ever Palantir Fellowship, and has the former CTO of the CIA on its advisory board.", "one_liner": "Query mission-critical video", "team_size": 20, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1738284252, "tags": [ "Computer Vision", "Defense", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Defense" ], "regions": [ "Israel", "Middle East and North Africa" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/conntour", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/conntour.json", "year_founded": 2024, "city": "Tel Aviv-Yafo", "country": "IL", "linkedin_url": "https://www.linkedin.com/company/conntour/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c972b0925a72b8923c709c1b48733059aafb73d3.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": 1375912, "full_name": "Matan Goldner", "title": "Founder/CEO", "founder_bio": "I’m the co-founder and CEO of Conntour.\n\nI worked with security cameras for years, leading video surveillance in the Israeli military. I also led surveillance at a private security company - where I worked with most of the existing video analytics solutions.\n\nIn those roles, I used most of the existing solutions and experienced a major need that had no real solution. That experience also helped me build strong connections with global leaders in our industry.", "is_active": true, "linkedin_url": "https://linkedin.com/in/matan-goldner", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/974f6c497f392e466ec1107b5a3e6aa9decbdb9c.jpg" }, { "user_id": 405332, "full_name": "Tomer Kulla", "title": "Founder/CTO", "founder_bio": "Co-Founder and CTO at Conntour, with a BSc in Computer Science focused on computer vision. \nPreviously, I founded and sold Nilus, where I worked on eCommerce ad-tech and recommendation engines (ML). \nMy career spans both hands-on experience—particularly in web, MLOps, and big data—and leadership roles, including managing teams and as a Director of Engineering managing goup of 3 teams.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tomer-kulla/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4507b1091a9e2181ef456272045e50b99403d0f3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87340, "title": "Conntour: Ask Security Cameras Anything", "tagline": "Search and monitor thousands of video feeds with simple text queries", "body": "**TL;DR**: **Conntour lets governments and corporates query their security cameras.**\n\nUsers can search past footage (“Find a man with a blue backpack”), set alerts (“Notify me if someone climbs over the wall”), and extract data (“How many vehicles entered yesterday?”).\n\nIn just a few months, Conntour secured the Singapore government as a paying customer.\n\nhttps://www.tella.tv/video/cm6k221g4000f0bl1csynd0p1/view\n\n# **Who we’re building it for:**\n\nConntour targets organizations with thousands of security cameras. That includes governments (military, police, intelligence) and businesses (corporates, retail, industrial companies). These teams can’t manage so many cameras and it leads to huge losses - money, legal violations, and even human lives.\n\n# **The Problem with existing solutions:**\n\nThey offer low customization, as they’re limited to pre-defined parameters (like shirt color or license plate number). This **lack of flexibility** causes missed critical events, too many false alarms, and countless hours wasted on manual footage review. Conntour solves this by offering **unlimited flexibility** through natural language queries - just ask anything.\n\n# **Team:**\n\nMatan (CEO) led a military video surveillance unit - leveraging security cameras to save lives. Tomer (CTO) is a second-time founder and former director of engineering.\n\nWe’ve known each other for 13 years, first meeting in the special forces during our mandatory military service. Since then, we’ve studied together and tackled many challenges side by side.\n\n![uploaded image](/media/?type=post&id=87340&key=user_uploads/1375912/ab328256-e7c8-44fe-a9c0-ee0427cfab0d)\n\nWe’d be happy to hear from you at: [matan@conntour.com](mailto:matan@conntour.com)", "url": "https://www.ycombinator.com/launches/Mii-conntour-ask-security-cameras-anything", "votes": 24, "created_at": "2025-01-31T21:45:31.892Z" } ] }, { "id": 30224, "name": "Maritime Fusion", "slug": "maritime-fusion", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2af0192d25e843e5333e635fa35115413fbca155.png", "website": "https://maritimefusion.com", "all_locations": "San Francisco, CA, USA", "long_description": "Maritime Fusion is building fusion reactors for ships and off grid energy markets. En route on this endeavor we’re commercializing High Temperature Superconducting (HTS) cable technology for power distribution while advancing the physics basis of our HTS tokamak to decarbonize global shipping. \r\n\r\nBreakeven fusion is coming soon, but the first-of-a-kind (FOAK) reactors will be costly, high maintenance, and have low capacity factors, leading to 5–10x higher electricity cost on the grid. Maritime Fusion is pursuing the most widely accepted approach to fusion, the tokamak, but specifically designed for the marine environment where the challenges that arise between breakeven and a commercially viable energy source are alleviated. The market we're targeting requires 15x less power, lower up-time, and costs the same as alternative fuels but without any emissions. Since fusion does not use highly radioactive fuels or materials – unlike fission – we sidestep the vast majority of regulatory challenges and safety risks associated with nuclear energy. Our team brings over a decade of industry and research experience in plasma physics, nuclear engineering, and electrical engineering with backgrounds at SpaceX, Tesla, Columbia University, and University of Pennsylvania.", "one_liner": "Fusion reactors for ships", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1739572830, "tags": [ "Fusion Energy", "Hard Tech", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "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/maritime-fusion", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/maritime-fusion.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/maritime-fusion", "x_url": "https://x.com/maritimefusion", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2af0192d25e843e5333e635fa35115413fbca155.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": 2336806, "full_name": "Justin Cohen", "title": "Founder/CEO", "founder_bio": "Nuclear engineer and plasma physicist working on fusion reactors for defense and commercial shipping applications. Previously Tesla, SpaceX, Columbia University, Princeton Plasma Physics Laboratory, NC State.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/justin-cohen707", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c63b262e560db673d53a59a25f5d906a3b7acaef.jpg" }, { "user_id": 2364454, "full_name": "Jason Kaufmann", "title": "Founder/CTO", "founder_bio": "I'm a hardware engineer with a passion for building cool electronics and systems. With a background in physics and computer engineering from Penn, I've worked on everything from AI hardware at Tesla to power systems for rockets at SpaceX. Currently focused on making a fusion reactor for ships.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jasonskaufmann/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de5bd445a30e5ded336464f26afb4873ba9b1435.jpg" } ], "jobs": [ { "id": 75503, "title": " Member of Technical Staff - R&D Engineering", "url": "https://www.ycombinator.com/companies/maritime-fusion/jobs/jF7a5Wc-member-of-technical-staff-r-d-engineering", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$120K - $200K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 75505, "title": "Member of Technical Staff - Plasma Physics", "url": "https://www.ycombinator.com/companies/maritime-fusion/jobs/sX8ipt6-member-of-technical-staff-plasma-physics", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Science", "role_type": "Laboratory", "salary_range": "$120K - $200K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 85661, "title": "R&D Technician", "url": "https://www.ycombinator.com/companies/maritime-fusion/jobs/vbJGLSZ-r-d-technician", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$100K - $160K", "equity_range": "0.10% - 0.25%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 85662, "title": "Business Development & Strategic Partnerships Lead", "url": "https://www.ycombinator.com/companies/maritime-fusion/jobs/fpZ2pbI-business-development-strategic-partnerships-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$120K - $200K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "This startup wants to build a fusion reactor — on a boat | TechCrunch", "url": "https://techcrunch.com/2025/11/24/this-startup-wants-to-build-a-fusion-reactor-on-a-boat/", "date": "Nov 24, 2025" } ], "launches": [ { "id": 87909, "title": "Maritime Fusion - Fusion reactors for ships", "tagline": "The application where first generation fusion reactors can thrive", "body": "[We are building the first fusion reactors for marine applications](https://www.youtube.com/watch?v=5ThTnDoKzLU)\n\n**The Problem**\\\nBreakeven fusion is on the horizon, but first-of-a-kind (FOAK) reactors will be expensive, high-maintenance, and have low capacity factors, leading to 5–10x higher electricity cost on the grid. Additionally, these reactors face significant physics challenges for steady-state operation, such as managing first wall heat flux and mitigating nuclear activation of structural components that require novel materials to solve.\n\n**The Solution**\\\nWe are leveraging the most proven approach to fusion energy, the HTS tokamak, but designed specifically for maritime applications. This reactor bridges the gap between achieving breakeven fusion and commercial viability. Our target market, commercial shipping vessels, require 15x less power and lower uptime compared to traditional grid reactors all while matching the cost of alternative bunker fuels—without any emissions. Operating at reduced power densities also alleviates many of the materials hurdles, paving the way for a more robust and reliable technology in the near term. We’re also leveraging the same reactor to meet the Department of Defense’s need for mobile power plants via Ship-to-Shore power.\n\n![uploaded image](/media/?type=post&id=87909&key=user_uploads/2336806/28482a6e-e905-4e36-9aad-41bd64336dff)\n\n**Who We Are**\\\nOur team brings over a decade of industry and research experience in plasma physics, nuclear engineering, and electrical engineering with backgrounds at SpaceX, Tesla, Columbia University, and University of Pennsylvania. We first met at SpaceX while conducting radiation tests for Starship electronics, and later worked together at Tesla on Cybertruck and Optimus.\n\n![uploaded image](/media/?type=post&id=87909&key=user_uploads/2336806/3b3e4061-2aff-4cb0-a183-5755dc8fae50)\n\n**How the YC Community Can Help**\\\nWe’re in process of making inroads to the Department of Defense, Navy, DARPA, and Department of Energy, as well as connections to the commercial shipping industry, if you know anyone we should speak with please reach out!\\\n[maritimefusion.com](http://maritimefusion.com)\\\n[founders@maritimefusion.com](mailto:founders@maritimefusion.com)", "url": "https://www.ycombinator.com/launches/Mrt-maritime-fusion-fusion-reactors-for-ships", "votes": 28, "created_at": "2025-02-21T20:38:05.707Z" } ] }, { "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": 30257, "name": "Pave Robotics", "slug": "pave-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/928589de1c658eafaba5d1b3f60eee04d58ffa36.png", "website": "https://pave-robotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "Pave Robotics builds robots that seal cracks in asphalt, helping paving companies save time and money. Our robots work 24/7 and deliver higher-quality results than humans.", "one_liner": "Robots that repair roads", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1738630910, "tags": [], "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/pave-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/pave-robotics.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pave-robotics/", "x_url": "https://x.com/Pave_Robotics", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/pave-robotics", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/928589de1c658eafaba5d1b3f60eee04d58ffa36.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": 1490740, "full_name": "Josh Kelly", "title": "Founder/CEO", "founder_bio": "CEO at Pave Robotics. Former Mechatronics Engineer at Zipline and Head of Engineering for Mark Rober. Designed and built autonomous porch pirate traps called glitterbombs, and a robot that set up 100,000+ dominoes in 24 hours.\nBachelor's in Mechanical Engineering from Stanford University.", "is_active": true, "linkedin_url": "https://linkedin.com/in/joshak18", "x_url": "https://x.com/JoshAKelly", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6869b56329abedbb2d781430858faceea9ab3b9d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87567, "title": "Pave Robotics - Robots that repair roads", "tagline": "Meet Tracer, the world's first fully autonomous crack sealing robot.", "body": "# **TL;DR**\n\n[Pave Robotics](https://pave-robotics.com) builds robots that seal cracks in asphalt, making road repair cheaper and easier. Our robots work 24/7 and deliver higher-quality results than humans.\n\n​​https://www.youtube.com/watch?v=N8by_u9C8ZI\n\n![uploaded image](/media/?type=post&id=87567&key=user_uploads/1490740/f65f62fa-f633-4d9a-8faf-f349f7c0eaec)\n\n# **The Problem**\n\nAmerica’s roads are in crisis. 42% are in mediocre or poor condition, despite $27 billion being spent annually on maintenance. The process of fixing these roads is slow, expensive, and increasingly difficult due to an aging workforce and labor shortages. Moreover, extended road closures for repairs are dangerous and cause major traffic disruptions.\n\n# **The Solution**\n\nMeet Tracer, a fully autonomous robot that performs asphalt crack sealing faster and more effectively than a crew of six people. Tracer operates 24/7, helping paving companies increase efficiency, reduce costs, and minimize road closures.\n\n![uploaded image](/media/?type=post&id=87567&key=user_uploads/1490740/0ea5436e-38dd-4f2b-aeb4-3a3932416ef0)\n\n# **Why start with cracks?**\n\nCrack sealing is the first line of defense against bad roads, but we plan to expand into other forms of road maintenance and paving in the future. We envision a future where roads are continuously kept in pristine condition—and we're building the robots to make that possible.\n\n# **Our ask**\n\nIf you know anyone in the following categories we would love an introduction! Email us at [founders@pave-robotics.com](mailto:founders@pave-robotics.com)\n\n* Paving companies\n* State or local departments of transportation\n* State or local public works departments\n* Private equity firms buying paving companies\n* Large private parking lot or road owners\n\n# **Team**\n\n[Josh Kelly](https://www.linkedin.com/in/joshak18/) and [Mason Landon Smith](https://www.linkedin.com/in/mason-landon-smith/) met while working for the YouTuber [Mark Rober](https://www.youtube.com/channel/UCY1kMZp36IQSyNx_9h4mpCg). Josh led the YouTube team as head of engineering, while Mason was the founding product designer for Crunch Labs. \n\nJosh is a Stanford graduate with a background in Mechatronics at companies like Zipline and NASA JPL. Mason graduated from the Rhode Island School of Design and has a strong track record of building successful products and teams that have gone to market and won multiple awards.\n\nTogether, they created Pave Robotics, with the goal of revolutionizing the way roads are maintained.\n\n![uploaded image](/media/?type=post&id=87567&key=user_uploads/1490740/2b6d6580-1bcd-4f5b-922e-97d27f3ff299)\n\n", "url": "https://www.ycombinator.com/launches/MmN-pave-robotics-robots-that-repair-roads", "votes": 64, "created_at": "2025-02-11T15:12:10.695Z" } ] }, { "id": 30263, "name": "Bindwell", "slug": "bindwell", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/27909408e945386b5dab99b0a68f5cede01bee40.png", "website": "https://www.bindwell.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We're developing better, safer pesticides in-house using custom AI models. ", "one_liner": "Discovering new pesticides with AI", "team_size": 13, "industry": "Industrials", "subindustry": "Industrials -> Agriculture", "launched_at": 1740392812, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Agriculture" ], "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/bindwell", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/bindwell.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bindwell", "x_url": "https://x.com/bindwell_ai", "fb_url": null, "cb_url": null, "github_url": "github.com/Bindwell", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/27909408e945386b5dab99b0a68f5cede01bee40.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": 1780048, "full_name": "Navvye Anand", "title": "Founder/CEO", "founder_bio": "Founder @ Bindwell: AI Platform for Pesticide R&D. I'm passionate about bioinformatics and AI, exploring the intersection of biology & natural language processing: ex-Caltech student and World Science Scholar.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/navvye-anand/", "x_url": "https://x.com/navvye", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/093f5c26dd93e9999e55e5097b6c8e8f2f42373b.jpg" }, { "user_id": 2208293, "full_name": "Tyler Rose", "title": "Founder/CTO", "founder_bio": "CEO @ Bindwell. Former Wolfram Research, background in ML engineering and comp bio research. Interested in using AI to solve big problems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tyler-rose-213299222/", "x_url": "https://x.com/tylerarose0", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2d28622ba9477f5c40e8306b933c64a43edb7383.jpg" } ], "jobs": [], "news": [ { "title": "Teen founders raise $6M to reinvent pesticides using AI — and convince Paul Graham to join in | TechCrunch", "url": "https://techcrunch.com/2025/11/13/teen-founders-raise-6m-to-reinvent-pesticides-using-ai-and-convince-paul-graham-to-join-in/", "date": "Nov 13, 2025" } ], "launches": [ { "id": 88028, "title": "Bindwell 🧪 Building Better Pesticides with AI", "tagline": "We're developing better, safer pesticides using our state-of-the-art AI models.", "body": "# **TL;DR**\n\nWe're teenage engineers on a mission to develop new pesticides for a safer, healthier, and more bountiful world.\n\nToday, we’re launching Foldwell, our breakthrough structure prediction model that runs 4x faster than AlphaFold 3. Foldwell is just one piece in a suite of ground-up models we've built for every step of the pesticide discovery pipeline.\n\n![uploaded image](/media/?type=post&id=88028&key=user_uploads/2208293/f6f1b7d7-f30c-4631-8f5e-2589eca9191f)\n\n**❌ The Problem:**\n\n**Pesticides are failing us:** Their usage has doubled since 2000, even though farmland has decreased. Yet, we still lose 20-40% of crops to pests.\n\n**Resistance makes things worse:** Pests evolve resistance, forcing farmers to use even more pesticides to get the same results. This creates a vicious cycle of increasing resistance and collateral damage.\n\n**Innovation is stagnant:** Since the 2010s, fewer than 40 new active ingredients have been introduced. Most “new” pesticides are just minor tweaks of existing chemicals.\n\n**Industry left behind:** AI has revolutionized drug discovery; pesticide discovery is overdue for the same transformation because the underlying biochemistry is similar.\n\n**Making better pesticides is hard:** The ideal pesticide kills only the target pest and nothing else—current solutions are bad at this.\n\n# **✅ Our Solution:**\n\nWe use AI to build better pesticides.\n\nBecause pesticide discovery is a search problem, speed is key: In mere seconds, our AI models give us biological assays that would have traditionally taken days—completely changing the game for pesticide discovery.\n\nhttps://youtu.be/yI78lwS-dvQ\n\nWe've built these AI models so far:\n\n* Foldwell: our AlphaFold replacement that’s 4x faster, used to identify target structures.\n\n ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcg7PQy81oaOL3m4jKlVRbkmW3kAOJM-xeTFltZ9PR--KDv-t5H3elHCF7swteyPPIm3YjFfynYd6q8p_CQe67k3XYswL-wnQoVAu_xWs-b-aSVWnyw0qpns-TLnZlqSLcpXxYrUw?key=6GA4V3t-3KucfkE1n0vyo_Ok)\n\n* PLAPT: Insanely fast open-source protein-ligand interaction model that can scan every synthesized compound known to man in just 6 hours.\n* APPT: State-of-the-art protein-protein interaction model for biopesticide screening, outperforms existing models by 1.7x on [Affinity Benchmark V5.5](https://zlab.wenglab.org/benchmark/).\n\nWe’re currently mapping druggable proteins in select harmful species that are notoriously difficult in the industry in order to find candidates with high specificity.\n\n# **👬 The Team**\n\nWe’re Navvye Anand (Caltech) and Tyler Rose (Wolfram Research), a scrappy duo of engineers who met at the Wolfram Summer Research Program in June 2023. We’re Indo-Chinese founders who both grew up visiting farmlands in our countries. United by our passion for tackling hard problems, we dropped out of college and started Bindwell to transform the archaic agrochemical industry.\n\n# **🙏 Our Ask:**\n\n1. Follow us on [LinkedIn](https://www.linkedin.com/company/bindwell/) and [Twitter 🥺](https://x.com/Bindwell_AI)\n2. Warm introductions to researchers at agrochemical companies (e.g. Bayer, Syngenta, BASF, Corteva etc), would be greatly appreciated!\n3. For  love to hear about your feedback on the [Foldwell app](https://app.bindwell.ai/)— [founders@bindwell.ai](mailto:founders@bindwell.ai)", "url": "https://www.ycombinator.com/launches/Mto-bindwell-building-better-pesticides-with-ai", "votes": 102, "created_at": "2025-02-25T20:00:09.197Z" } ] }, { "id": 30276, "name": "General Trajectory", "slug": "general-trajectory", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c79fb57c52ab75fc14e93779100504407b5e064.png", "website": "https://www.generaltrajectory.com/", "all_locations": "Los Angeles, CA, USA", "long_description": "General Trajectory is using AI to solve the world's most important problems, from autonomous defense to scientific R&D.", "one_liner": "AI for the physical world", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1738545890, "tags": [ "Robotics", "AI" ], "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/general-trajectory", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/general-trajectory.json", "year_founded": 2024, "city": "Los Angeles", "country": "US", "linkedin_url": "https://linkedin.com/company/generaltrajectory", "x_url": "https://x.com/gentrajectory", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c79fb57c52ab75fc14e93779100504407b5e064.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4a09fcc4294bb183b611351cfbd5c9e4d1bb97cb.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/203af2059eae51bdf6c7d474ffde4132486c0709.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1366241, "full_name": "Joshua Belofsky", "title": "Founder/CEO", "founder_bio": "Recent graduate focusing on AI for the physical world. Background is in academic ML research.", "is_active": true, "linkedin_url": "https://linkedin.com/in/joshua-belofsky-25328523b", "x_url": "https://x.com/joshuabelofsky", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4f608bc7f9da030e188bbc67691c92726b24e872.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 96524, "title": "🤖 General Trajectory - A Foundation Model for Humanoid Robots", "tagline": "Reward-guided imitation learning for dexterous manipulation", "body": "\n\n## What is it?\n\nA foundation model that helps humanoid robots pick up unseen objects and perform real-world work. It generalizes to novel objects and scenes, including cases where prior SoTA models achieve 0% success.\n\n![uploaded image](/media/?type=post&id=96524&key=user_uploads/1366241/6cbcabb4-44fe-4d86-8b20-4b5220709f58)\n\n## The problem\n\nHumanoid robots can do backflips and kung fu, but still struggle with economically useful work. Dexterous manipulation is the main bottleneck to useful physical labor.\n\n## Our approach\n\nWe collect an efficient set of human demonstrations and train a reward model to improve the base model's grasps.\n\n![uploaded image](/media/?type=post&id=96524&key=user_uploads/1366241/86269800-22b9-4a15-bf3c-7d63285ea25d)\n\nThe result is strong generalization: up to 63% gains on difficult objects where the best baselines achieve 0%, while maintaining near-perfect performance on standard objects. Full details are available in our [technical post](https://www.generaltrajectory.com/technical-update).\n\nThe physical world is 80% of global GDP. We believe this research represents progress toward a future in which AI systems are not limited to computer work.\n\n## Open-source\n\nWe open-sourced our teleop stack!\n\n\n\nIt uses vision + wrist trackers instead of data gloves → about **$500** in hardware vs. **\\~$5,000**.\n\n![uploaded image](/media/?type=post&id=96524&key=user_uploads/1366241/aeeb02d9-821a-44b5-bef0-f491af1fa15a)\n\n## Call to action\n\nIf you are interested in AI for the physical world (scientific R&D, defense, etc.), please reach out!\n\n* Website: \n* X: ", "url": "https://www.ycombinator.com/launches/P6q-general-trajectory-a-foundation-model-for-humanoid-robots", "votes": 15, "created_at": "2026-01-05T15:51:54.579Z" }, { "id": 88311, "title": "General Trajectory – Reasoning Models for Robotics", "tagline": "Bringing AI into the physical world", "body": "# **TL;DR**\n\nWe’re training models that can reason through physical tasks using chain-of-thought to automate traditionally difficult work in industrial environments like warehouses and manufacturing facilities.\n\n![uploaded image](/media/?type=post&id=88311&key=user_uploads/1366241/ed2288b5-baa9-4959-896d-cd75e4074858)\n\n# How it works\n\nWe fine-tune vision-language models to output low-level robotic controls across primary tasks in logistics: mixed-sku palletization, item picking, sorting, and packing.\n\nBefore predicting the next action, our model is explicitly trained to `` about its next step. This allows it to reason through long-horizon tasks.\n\n\n\n# RL from Verifiable Rewards\n\nOur fine-tuned model is then rolled out in Nvidia’s Isaac Sim where it generates reasoning + action traces that get scored using simple verifiers. This continues to improve the model using photorealistic data without any human in the loop.\n\n![uploaded image](/media/?type=post&id=88311&key=user_uploads/1366241/db7af549-6c06-433d-a8da-16d6dffd5737)\n\n# Our ask\n\nWe see logistics as an entry point to even greater automation across industries. Soon you will be able to tell AI to do any physical tasks in the same way current systems can handle the cognitive ones.\n\nIf you have any tasks you’d like to automate or know of anyone interested in working on embodied AI, please reach out: [joshua@generaltrajectory.com](mailto:joshua@generaltrajectory.com)\n\n# The Team\n\n![uploaded image](/media/?type=post&id=88311&key=user_uploads/1366241/ed970f7d-fd66-473d-9c72-17cc18dedb5d)\n\nJoshua studied CS & neuroscience at the University of Chicago but spent most of his time outside of class doing ML research. He first joined NASA Ames Research Center and later worked at Caltech. His [research](https://scholar.google.com/citations?user=RoD9hE8AAAAJ&hl=en) focused on generally capable AI agents and reasoning.", "url": "https://www.ycombinator.com/launches/MyN-general-trajectory-reasoning-models-for-robotics", "votes": 15, "created_at": "2025-03-06T15:48:57.648Z" } ] }, { "id": 30293, "name": "Orbital Operations", "slug": "orbital-operations", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/492921aa241caf7471287ab906f14d641f8eeab7.png", "website": "https://www.orbitalops.tech/", "all_locations": "Los Angeles, CA, USA", "long_description": "Orbital Operations is developing a high thrust, reusable space vehicle for satellite defense. We protect critical satellites, like GPS and Military communication satellites, from adversarial threats, like China and Russia.\r\n\r\nOur vehicle will use the exact same propulsion systems that launch vehicles have used for decades by implementing a cryogenic management system. This will give us over 100x the thrust or current in-space propulsion.\r\n\r\nRoss and I have over 15 years of combined aerospace experience across NASA, Aerojet Rocketdyne, SpaceX, Blue Origin, and Relativity Space. We’ve worked side by side for more than 3.5 years developing propulsion systems, turbomachinery, and building our own respective engineering teams.\r\n\r\nWe are currently working on the first demo of our unique cryo management system and intend to launch an operational vehicle by 2027. 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He owned the fluid systems for the TM1 rocket, the complex heat exchangers on the AeonR engine, and built the Components team and the Integrated Design and Analysis teams from the ground up.\n\nBen has an deep understanding of rocket engine design and analysis and building high performance engineering teams.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bschleuniger/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/28a37ff4551ef1583637a20fcd425212f92ae670.jpg" }, { "user_id": 2288560, "full_name": "Ross Doherty", "title": "Founder/COO", "founder_bio": "Ross is the Co-founder and COO of Orbital Operations.\n\nHe has spent his entire career in the aerospace industry, from Aerojet Rocketdyne, to Blue Origin, and most recently Relativity Space, where he owned all turbomachinery manufacturing and assembly for the Aeon-R engine. He was also responsible for the Flight Termination System test and qualification program for the TM-1 rocket.\n\nRoss has deep expertise in complex manufacturing processes, assembly, test, and chemical propulsion development.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ross-doherty-992a2790", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a85ac49cf9e448f74a706db3c0ceae44b87fa431.jpg" } ], "jobs": [ { "id": 104927, "title": "Engine Responsible Engineer", "url": "https://www.ycombinator.com/companies/orbital-operations/jobs/rHvdiii-engine-responsible-engineer", "location": "Long Beach, California, United States", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$135K - $200K", "equity_range": "0.01% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105078, "title": "Avionics Mechanical Engineer", "url": "https://www.ycombinator.com/companies/orbital-operations/jobs/I005eIJ-avionics-mechanical-engineer", "location": "Long Beach, California, United States", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$140K - $200K", "equity_range": "0.01% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105079, "title": "Rockstar", "url": "https://www.ycombinator.com/companies/orbital-operations/jobs/xT71kYw-rockstar", "location": "Long Beach, California, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $175K", "equity_range": "0.01% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 105083, "title": "Structures Design Engineer", "url": "https://www.ycombinator.com/companies/orbital-operations/jobs/7KBv010-structures-design-engineer", "location": "Long Beach, California, United States", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$140K - $200K", "equity_range": "0.01% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105084, "title": "Turbomachinery Mechanical Design Engineer", "url": "https://www.ycombinator.com/companies/orbital-operations/jobs/YeXl31B-turbomachinery-mechanical-design-engineer", "location": "Long Beach, California, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $200K", "equity_range": "0.01% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Orbital Operations raises seed round for orbital vehicle using liquid hydrogen fuel - SpaceNews", "url": "https://spacenews.com/orbital-operations-raises-seed-round-for-orbital-vehicle-using-liquid-hydrogen-fuel/", "date": "Aug 07, 2025" }, { "title": "Orbital Operations Raises $8.8M For High Thrust Orbital Vehicle - Payload", "url": "https://payloadspace.com/orbital-operations-raises-8-8m-for-high-thrust-orbital-vehicle/", "date": "Aug 07, 2025" } ], "launches": [ { "id": 87855, "title": "Orbital Operations – High Thrust, Reusable Vehicles in Space🚀", "tagline": "Orbital maneuvers in hours instead of months with cryogenic propulsion", "body": "### **The Problem**\n\n_“The Space Launch advances we have seen in this Third Space Age to date are just a Special Case in the Third Space Age of Mobility._\n\n_\\[Our capabilities\\] will evolve into a broader General Case of Responsiveness, Reusability, and Servicing/Logistics that will encompass the whole domain and enable **Dynamic Space Operations**.”_\n\n -       _Lt. General (Ret.) John Shaw, US Space Force_\n\nIn October 2021, China’s Shijan-21 was launched into Geosynchronous Transfer Orbit (GTO), where it docked with a navigation satellite, moved the asset beyond the typical graveyard orbit, and returned to Geosynchronous Earth Orbit (GEO). This capability far exceeds what the American space market has been able to achieve, and large providers are far behind schedule.\n\n**_Access to Space_**\n\nRecently, a mission was performed by the government to test how long it would take to put an emergency military asset into orbit. The acceleration effort led to the launch of a vehicle in 5 months. While this was faster than previous efforts, a lot can happen in 5 months, especially during times of unrest. The US Space Force needs a high-thrust, high-efficiency vehicle to perform dynamic space operations in hours to be able to protect our critical satellite infrastructure.\n\n**_In-Space Propulsion_**\n\nCurrent in-space propulsion systems rely on one of the following, both of which have significant downsides:\n\n* Storable propellants\n* Electric propulsion\n\nStorable propellants can only provide a few pounds of thrust (\\~3.75 lbf) and modest efficiency at 250 sec to 320 sec of specific impulse (Isp). Although the engines are simple and reliable, the performance is not adequate for responsive maneuvers. Meanwhile, electric propulsion boasts extremely high Isp (1300 sec), but the thrust is extremely low, coming in at less than 0.007 lbf.\n\n### **The Solution**\n\nTaking advantage of the decreasing costs of launch services and chemical propulsion development over the last 15+ years, Orbital Operations is building a high-thrust, reusable space vehicle that will be stationed in orbit to perform rapid dynamic space operations for the military, executing and finalizing orbital maneuvers in hours vs months. There are 3 key pieces of development:\n\n* The Cryo-Cooler\n* The Rocket Engine\n* The Vehicle\n\n**_The Cryo-Cooler (BOREAS)_**\n\nThe first milestone to unlock dynamic space operations is to develop a functioning cryogenic cooling system capable of storing high-efficiency propellants for an indefinite amount of time while in space. With a letter of support from NASA, we have access to the 15+ years of research and development they have put together on cryogenic fluid management and have the capabilities to commercialize the technology. Using a Reverse Brayton Cycle (RBC), turbomachinery, and advanced manufacturing techniques, we can develop a commercially viable 20 Kelvin cryocooler.\n\n![uploaded image](/media/?type=post&id=87855&key=user_uploads/2288560/eeb9f9e4-d674-458e-804a-f09ea4b7d42b)\n\n\n\n**_Rocket Engine_**\n\nOrbital Operations will develop an in-house chemical propulsion engine capable of >5000 lbs of thrust and a targeted Isp no less than 450 sec. We have been a part of multiple engine development campaigns from the beginning, ranging from 23,000 lbf (Aeon-1, Relativity) all the way to 550,000 lbf (BE-4, Blue Origin).\n\n![uploaded image](/media/?type=post&id=87855&key=user_uploads/2288560/596e30a3-93f2-4e08-b180-e7c7ace91968)\n\n**_The Vehicle_**\n\nOur initial vehicle will look to host modular government payloads (electro-optical cameras, infrared cameras, signal collection, deployable decoys, weapon systems, etc.). Continued development will be done for rendezvous operations, both for military applications and commercial applications.\n\n\n\n**Who We Are**\n\n![uploaded image](/media/?type=post&id=87855&key=user_uploads/2288560/e7c957ae-056f-4dd5-85a7-d06a54734350)\n\nBen and Ross have over 15 years of combined experience in the aerospace industry from NASA, Aerojet Rocketdyne, SpaceX, Blue Origin, and most recently, Relativity Space. They met at Relativity Space when tasked with developing and qualifying the Flight Termination System for the Terran-1 rocket. Since then, Ben and Ross have been working closely together developing turbomachinery systems and heat exchangers for the Aeon-R engine before leaving Relativity to start Orbital Operations. They bring a unique skillset based on rocket engine and turbomachinery development, as well as a wide array of advanced manufacturing capabilities.\n\n**The Ask**\n\n* **Feedback** – Please reach out to ask questions, share insights and experiences in the aerospace industry\n* **Connect** – Any and all contacts within the military (US Space Force and Air Force) would be appreciated! Also looking for warm introductions to commercial customers\n* **Share** – Spread the word and follow along! Space is fun, and rocket engines are exciting to watch, even when they disassemble themselves!", "url": "https://www.ycombinator.com/launches/Mr1-orbital-operations-high-thrust-reusable-vehicles-in-space", "votes": 29, "created_at": "2025-02-20T08:50:14.954Z" } ] }, { "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": 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": 30320, "name": "Proception Inc", "slug": "proception-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9bbd5c88222cf5eb971b76232ac40284413785f0.png", "website": "https://proception.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Making humanoids dexterous enough to thread a needle", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1739402915, "tags": [ "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "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/proception-inc", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/proception-inc.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/proceptionai/?viewAsMember=true", "x_url": "https://x.com/proceptionAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9bbd5c88222cf5eb971b76232ac40284413785f0.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": 2177365, "full_name": "Jay Li", "title": "Founder/CEO", "founder_bio": "Working on humanoid. Stanford alumni", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jaylicareer/", "x_url": "https://x.com/jaylistanford", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e1e14b438d6bcc0a1dde6f23547a7be16e34e1f3.jpg" }, { "user_id": 2602106, "full_name": "Jack Xu", "title": "Founder", "founder_bio": "UWaterloo Alumni, Ex-Tesla Engineer, Ex-Trexo [YC 19]", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jack-xu-jxinbox/", "x_url": "https://x.com/_jaku_xu?s=21", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/697b46f581ed12f84f2c38b91fa0a4bcace94d71.jpg" } ], "jobs": [ { "id": 84326, "title": "Robotics Technician (Assembly & Testing)", "url": "https://www.ycombinator.com/companies/proception-inc/jobs/YQt8sOz-robotics-technician-assembly-testing", "location": "Palo Alto, CA, US", "type": "Contract", "role": "Operations", "role_type": null, "salary_range": "$25 - $35 / hourly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Robot hand company settles Tesla trade secret suit and announces $11M raise | TechCrunch", "url": "https://techcrunch.com/2026/06/29/robot-hand-company-settles-tesla-trade-secret-suit-and-announces-11m-raise/", "date": "Jun 29, 2026" } ], "launches": [ { "id": 104230, "title": "Proception - The dexterous robot hand we wish existed", "tagline": "The hand that enables robots. The glove that teaches them.", "body": "# **Shipping ProHand: The Human-Like Robotic Hand Built for Dexterous Manipulation**\n\nMost robots still cannot use their hands.\n\nThat sounds strange, because robots have gotten dramatically better over the past decade. They can navigate warehouses, run, jump, perceive their surroundings, and reason over visual scenes. But when it comes to actually touching the world, most robots still rely on simple grippers.\n\n![uploaded image](/media/?type=post&id=104230&key=user_uploads/2602106/4c624b0d-144a-4af0-8144-a88769012c9d)\n\nThat works if the object is rigid, predictable, and placed exactly where the robot expects it to be. It breaks down quickly when the task requires the kind of manipulation humans do every day: adjusting grip, feeling contact, using multiple fingers, handling soft objects, or recovering when something slips.\n\nWe started Proception because we kept running into the same bottleneck: humanoid robots will not become truly useful until they can manipulate the world with something much closer to a human hand.\n\nToday we are introducing ProHand 1.0, a high-dexterity robotic hand built for researchers and robotics companies working on contact-rich manipulation.\\\n\\\n\n\n## Why We Built a Human-Like Hand\n\nThe human hand is not just a gripper. It has more than twenty degrees of freedom, dense tactile feedback, tendon-driven actuation, and an incredible ability to adapt through contact.\n\nThat is what makes simple tasks deceptively hard for robots. Tying shoelaces, opening packaging, handling tools, plugging in cables, folding clothes, or repairing electronics are not just vision problems. They are contact problems.\n\nTo build ProHand, we worked closely with hand surgeons and designed the system around the structure of the human hand.\n\n![uploaded image](/media/?type=post&id=104230&key=user_uploads/2602106/7dacec7a-3a65-412f-8513-cef8caf8b27f)\n\nProHand includes:\n\n* **Twenty-two degrees of freedom**, with multiple joints per finger, enabling a wide range of human-like motions.\n* **Tendon-driven actuation**, where motors pull cables to move the fingers while keeping the hand lightweight and compact.\n* **A compact and robust mechanical design**, built to be impact tolerant, serviceable, and practical for real robotics research.\n* **Integrated skin-like sensors**, which detect contact and support grip control during manipulation.\n\nThe goal was not to build a hand that looks human for aesthetics. The goal was to build hardware that can interact with the world in the same manipulation regime as human hands.\n\n## The Bigger Problem Is Data\n\nDexterous manipulation is not only a hardware problem. It is also a data problem.\n\nAI has made enormous progress in vision and language because those fields had access to large-scale datasets. Robotics does not have the same advantage. Manipulation data is expensive, slow, and usually collected in labs through teleoperation.\n\nTeleoperation is useful, and ProHand supports standard teleoperation workflows out of the box. But it has two big limitations.\n\nFirst, it does not scale easily. Data collection is limited by how many robots you have and how much time operators can spend controlling them.\n\nSecond, it loses important human interaction signals. When someone teleoperates a robot, they are not directly touching the object. The robot sees motion commands, but it often misses the subtle pressure, contact, and adjustment strategies humans naturally use when manipulating objects.\n\nBecause ProHand is designed around human hand kinematics and skin-like sensing, we can also collect data directly from human hands.\n\nThat is why we built **ProGlove**.\n\n![uploaded image](/media/?type=post&id=104230&key=user_uploads/2602106/1ee06ef7-e3b4-422a-b38c-2987494df668)\n\nProGlove turns the same sensor skin used on ProHand into a wearable data collection system. A person can wear the glove, interact with real objects, and capture human manipulation data without needing a robot in the loop. Combined with a headset for visual context, researchers can collect real human hand interaction data and transfer those movements and skills to ProHand.\n\nOur bet is simple: the fastest path to dexterous robots is to build hardware close enough to the human hand that we can learn from human hands directly.\n\n## Shipping This Week\n\nProception has raised **$11 million in seed funding** led by **First Round Capital**, with participation from **Y Combinator** and **BoxGroup**. This allows us to expand the team, scale production, and keep building the hardware and data infrastructure needed for dexterous manipulation.\n\nOur team has designed consumer electronics at Apple that reached millions of users, built robotic systems at Tesla and early-stage startups, and spent years working on the messy details of real hardware: actuation, sensing, reliability, calibration, control, and data collection.\n\nWe are building ProHand in Mountain View, and the first batch of units is shipping this week to researchers and robotics companies.\n\nIf you are building dexterous manipulation systems, humanoid robots, teleoperation workflows, or robot learning pipelines, you can order ProHand on [our website](https://www.proception.ai/product/pro-hand/gen1).\n\nIf you want to help build the hands that make humanoid robots useful, we are hiring .\n\n## ", "url": "https://www.ycombinator.com/launches/R78-proception-the-dexterous-robot-hand-we-wish-existed", "votes": 7, "created_at": "2026-06-29T15:46:59.992Z" }, { "id": 88112, "title": "🦾 Proception.ai - World's most dexterous humanoid", "tagline": "We make humanoids dexterous enough to thread a needle", "body": "Our mission is to revolutionize humanoid robotics by developing robots capable of performing complex tasks, transforming how we interact with technology in industries like healthcare, manufacturing, and beyond.\n\n### **What We Do**\n\nAt Proception, we are developing advanced humanoid robotic hands and robots, starting with a high-precision hand for research. We’ve successfully built our first functional prototype in just 4 months—an incredible milestone that sets us on the path to shipping to researchers soon. Our unique approach to **data collection**—where we collect data through human interaction rather than teleoperating robots—has significantly increased the efficiency of our data gathering. This enables us to train more effective AI models for manipulation and task execution.\n\n\n\n### **The Journey Ahead**\n\nOur robotic hands are just the beginning. In the next few years, we’ll expand from hands to fully autonomous humanoid robots capable of performing a wide range of tasks across industries. From healthcare and elder care to manufacturing and logistics, Proception’s robots will drive automation and unlock new efficiencies.\n\n### **Why We’re Different**\n\n![uploaded image](/media/?type=post&id=88112&key=user_uploads/2177365/6b25ce59-4945-4d41-8c32-2bd1379203d9)\n\n1. **Efficient Data Collection**: Unlike traditional teleoperation methods, we gather data through human-driven interactions, dramatically improving the efficiency of data collection and speeding up the training of AI models.\n2. **Execution**: In just 4 months since founding Proception, we’ve built a functional prototype of our humanoid hand, and we’re now preparing to ship it to research institutions in the near future.\n3. **Scalability**: Our robot is highly versatile and adaptable across a wide range of tasks, with a clear roadmap to scale from research applications to both industrial and household markets.\n\n![uploaded image](/media/?type=post&id=88112&key=user_uploads/2177365/c4f61f1e-d25c-4da2-b887-f72dd29bda8f)\n\n### **What’s Next**\n\nIn the coming 9 months, we will continue refining our robotic hand and prepare for the first shipments to research customers. We’ll also focus on further developing our AI software and preparing for the next phase: scaling to humanoid robots capable of performing real-world tasks. By years 2–3, we plan to deploy humanoid robots into industries that can benefit from automation and complex task execution.\n\n### **Backstory**\n\nMy journey into humanoid robotics began during my two years at Tesla, where I worked on the Tesla Optimus project. I developed a deep emotional connection to the potential of humanoid robots, which inspired me to pursue a path where I could bring that vision to life. Before Tesla, I worked at two startups, both of which successfully IPO’d. Those experiences taught me that the most challenging problems, especially in robotics, can only be solved through the agility and innovation of startups. That’s why I founded Proception—to take on these hard problems and push the boundaries of what’s possible with humanoid robots.\n\n### **Join Us on This Journey**\n\nJoin us in shaping the future of humanoid robotics. If you’re interested in learning more about our progress or exploring ways we can work together, let’s connect! Reach us at [**contact@proception.ai**](mailto:contact@proception.ai) or sign up at [proception.ai](https://proception.ai)\n\nTogether, we’re building the future—one robot at a time.", "url": "https://www.ycombinator.com/launches/MvA-proception-ai-world-s-most-dexterous-humanoid", "votes": 27, "created_at": "2025-02-27T18:50:09.198Z" } ] }, { "id": 30347, "name": "Instinct Space", "slug": "instinct-space", "former_names": [ "Instinct" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4bb840258f778d8499065a3377b1461a88ad66ed.png", "website": "https://www.instinct-space.com/", "all_locations": "London, England, United Kingdom", "long_description": "Instinct is making the Moon the new LEO. Our small lunar lander is designed to be launched as a regular LEO rideshare, enabling higher mission cadence at a lower cost.", "one_liner": "Building lunar landers", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1739754908, "tags": [ "Hard Tech", "Space Exploration" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "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/instinct-space", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/instinct-space.json", "year_founded": 2024, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/instinct-space/", "x_url": "https://x.com/Instinct__Space", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4bb840258f778d8499065a3377b1461a88ad66ed.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0bff9b3783db2f83e829a5295839eca0aab1f311.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1741395, "full_name": "Alex Pinel Neparidze", "title": "Founder", "founder_bio": "Building lunar landers. Co-CEO of Instinct.\n\nGraduate in Space Engineering at UCL and Aerospace engineering at QMUL. At Open Cosmos, he worked in project management on the PHISAT-2 and HAMMER Earth observation satellites, both launched in 2024 and now in orbit. Published research on the usage of machine learning for detecting Coronal Mass Ejections (CMEs) at the Mullard Space Science Laboratory. \n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-pinel/", "x_url": "https://x.com/Alex__Pinel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2686a16bde1511b7fc8f5979a461225a3ce9bc36.jpg" }, { "user_id": 2390225, "full_name": "Joaquim Dickson", "title": "Founder/CTO", "founder_bio": "Building lunar landers. CTO at Instinct.\n\nStudied Physics at Imperial College London and Space Technology at UCL. Worked on the magnetometer (MAG) for NASA's IMAP spacecraft with Imperial's Fluxgate Magnetometer Laboratory. Also worked on the Solar Wind Analyser (SWA) instrument suite aboard ESA's Solar Orbiter spacecraft with UCL's Mullard Space Science Laboratory.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joaquim-ropd/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b6505e0e0f06bad77f9a710345a84337c3daffe1.jpg" }, { "user_id": 1830493, "full_name": "Ashwin Iyer", "title": "Founder", "founder_bio": "Building rideshare compatible lunar landers. Ashwin is the co-founder and co-CEO of Instinct.\n\nHe studied mechanical engineering at QMUL in London and holds a Master in Industrial Systems, Manufacturing and Management from the University of Cambridge. Ashwin has also worked at Imperial College London, researching Rolls Royce jet engines as well as undertaken consulting projects as part of a team at Cambridge across a variety of industries including Venture capital, Metalworking and Electronics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ashwin-iyer-626263245/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb93731bd9cfc0a59ed3ff2d5a210efdf7a84bcf.jpg" } ], "jobs": [], "news": [ { "title": "Instinct Space Unveils Plans for Low-Cost Lunar Landers", "url": "https://payloadspace.com/instinct-space-unveils-plans-for-low-cost-lunar-landers/", "date": "Jun 17, 2026" } ], "launches": [ { "id": 103381, "title": "Instinct - Lunar Landers as a Service", "tagline": "lunar landers designed to launch as a regular LEO rideshares", "body": "We are going to the Moon, without spending billions. Launching more often and from any rocket.\n\n### **TL;DR:**\n\nModern lunar landers are not designed for the realities of today's launch market, leading to infrequent and expensive flights. Instinct is building a lunar lander that can launch from anywhere, increasing flight cadence and decreasing cost.\n\n\n\n### **The Problem:**\n\nDemand for the Moon is increasing, and modern landers rely on dedicated launches to the Moon that cost upwards of $100M and only fly once or twice a year. This means payload costs of $1.2M/kg and very limited availability of payload slots. Most potential lunar payloads are either stuck on Earth or never leave the concept stage.\n\n### **Our Solution:**\n\nInstinct's lunar lander is small enough to launch as a rideshare to Low Earth Orbit, enabling low-cost, high-cadence missions. From LEO, our lander makes its way to the Moon without the need for refueling or multiple stages, delivering 20kg of payload to the Moon at a cost per kg of less than half that of current providers.\n\n![uploaded image](/media/?type=post&id=103381&key=user_uploads/1741395/a31b9757-ea96-4f67-8e24-a31ef7bf474b)\n\n\nAt its core, our lunar lander relies on custom propulsion and visual navigation systems, which enable our unique architecture and most importantly are designed to keep vehicle mass as low as possible. This reduces launch cost and maximizes performance.\n\n![uploaded image](/media/?type=post&id=103381&key=user_uploads/1741395/6887996a-f7fc-4d07-a5ae-68e548ba6acf)\n\n### **Who We Are:**\n\nOur team brings years of experience working on space missions including NASA's IMAP, ESA's Solar Orbiter, and PhiSat-2.\n\nWe are super passionate about space exploration, and have also experienced firsthand the pains involved in developing lunar missions nowadays. We think getting to the Moon should be routine.\n\n### **What's Next:**\n\n* Integrated tests of our reaction control thrusters\n* Flight of our hopper test vehicle\n* A lot of testing\n* First lunar mission in Q4 2028\n\n### **Asks:**\n\n* Fly a payload to the Moon\\![ https://www.instinct-space.com/fly-with-us](https://www.instinct-space.com/fly-with-us)\n* Commercial/Government Intros\n* Join the team[ https://www.instinct-space.com/careers](https://www.instinct-space.com/careers)", "url": "https://www.ycombinator.com/launches/QtR-instinct-lunar-landers-as-a-service", "votes": 7, "created_at": "2026-06-17T14:05:35.501Z" } ] }, { "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": 30368, "name": "Red Barn Robotics", "slug": "red-barn-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9fea0321812586f595ebfa63ebe19d45c322ad2.png", "website": "https://www.redbarnrobotics.com", "all_locations": "Seattle, WA, USA", "long_description": "We are building an autonomous robot to precisely eliminate weeds and leave crops untouched. Despite $100 billion being spent annually on weed control, weeds still cost the US economy $46B/year. Weeds steal sunlight and nutrients from crops, forcing farmers to choose between higher costs and lower yields. Moreover, many farms still rely on hand labor to control weed growth. The process is slow, expensive, and increasingly difficult due to constant labor shortages (1 out of every 5 US farm positions go unfilled each year). Our robot nicknamed the Field Hand is able to automate one of the worst jobs on a farm and will help healthily feed the world. ", "one_liner": "A Roomba for weeds on a farm. ", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Agriculture", "launched_at": 1739827651, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Agriculture" ], "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/red-barn-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/red-barn-robotics.json", "year_founded": 2023, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/red-barn-robotics", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9fea0321812586f595ebfa63ebe19d45c322ad2.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": 277065, "full_name": "Adam Iseman", "title": "Founder/CEO", "founder_bio": "I'm the CEO of Red Barn Robotics where we are building an autonomous weeding robot to help healthily feed the world. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/adamiseman", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f0eff0617da99a47f99dce8f84d7f9be22b30910.jpg" }, { "user_id": 1921575, "full_name": "Ilya Kelner", "title": "Founder/CTO", "founder_bio": "CTO/cofounder at Red Barn Robotics. Previously worked on:\nFlight software and testing architecture @ Relativity Space - Flight software lead. Built: triple string fault tolerant flight computer architecture, Dockerized flight software deployments, CI/CD for HOOTL, HITL, VITL.\nAutonomous cars @ Nvidia.\nStarlink @ SpaceX.\nXbox @ Microsoft.\nEarly employee at 2 other startups in the past.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ilyakelner/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb20e30f0c93956ebe963274bcacca8e448b5d7f.jpg" }, { "user_id": 1662245, "full_name": "Alex Neff", "title": "Founder/COO", "founder_bio": "Co-founder and COO of Red Barn Robotics, building an autonomous weeding robot to help healthily feed the world.\n\nPreviously Senior Product Manager at Amazon where I led the development of new ML based search algorithms.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-neff-2245732b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6e4b51c3e5b8f44058daf4e71f15df7ea3dad456.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "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": 30433, "name": "The Robot Learning Company", "slug": "the-robot-learning-company", "former_names": [ "The Robot Learning Company (TRLC)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe9d24b61e68d5f71ffc72977fe38d21eece7328.png", "website": "https://www.robot-learning.co/", "all_locations": "BY, Germany", "long_description": "", "one_liner": "Tools for the next era of physical automation.", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1747554289, "tags": [ "Machine Learning", "Robotics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/the-robot-learning-company", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/the-robot-learning-company.json", "year_founded": 2025, "city": null, "country": "DE", "linkedin_url": "https://www.linkedin.com/company/the-robot-learning-company/", "x_url": "https://x.com/RobotLearningCo", "fb_url": null, "cb_url": null, "github_url": "https://github.com/robot-learning-co", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe9d24b61e68d5f71ffc72977fe38d21eece7328.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/382e706b6ee5904a0c147f93557e4b51c58f4a40.png" ], "primary_partner": null, "founders": [ { "user_id": 2427273, "full_name": "Jannik Grothusen", "title": "Founder/CEO", "founder_bio": "Jannik holds a degree in Mechatronics and spent the past two years conducting robot learning research at UC Berkeley and TU Munich. He is actively contributing to open-source software for robot learning.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jannik-grothusen/", "x_url": "https://x.com/JannikGrothusen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f13baadd68541cb03243f553e8c8050d2014021c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 91187, "title": "TRLC - Affordable robotic workers", "tagline": "AI-powered robot platform that makes automation accessible to businesses.", "body": "Hi 👋 this is [Jannik](https://www.linkedin.com/in/jannik-grothusen/) - Founder of The Robot Learning Company.\n\n**TL;DR:** We make automation accessible to businesses with an affordable, general-purpose robot platform designed to automate repetitive, stationary tasks.\n\n![uploaded image](/media/?type=post&id=91187&key=user_uploads/2427273/0797ea73-9264-46d4-b089-731c1ec76f89)\n\n# The Problem\n\n**Traditional automation is broken** for tasks outside of factories. It’s expensive, rigid, and slow to deploy. Each new use-case demands a custom $100,000+ integration, months of setup, and only works in tightly controlled environments.\n\n**General-purpose robots promise to change that**. The dream: drop-in systems that replace expensive human labor with cheap, flexible robotic labor. But in reality, most general robotic systems don’t justify their cost. The math doesn’t work:\n\n**_Value = Human labor saved – Robot cost_**\n\nToday, robots lose this equation in two key areas:\n\n* Low productivity: they don’t save enough labor\n* Hardware, setup, and training costs are too high\n\nThe future doesn’t need more traditional robotic arms - it needs smarter, cheaper ones that can adapt quickly.\n\n# Our Solution\n\nWe’re building affordable and easy-to-deploy general-purpose robotic workers.\n\n\n\nWe combine:\n\n* **Low-cost hardware**: a pair of stationary robotic arms for under $10,000\n* **Self-learning control software**: we use imitation learning and offline reinforcement learning to adapt the robot to new tasks and environments from just a handful of demonstrations\n\nThis makes robotic automation accessible to a far broader set of businesses - even ones that previously couldn’t justify the investment.\n\n# About Us\n\nI’m [Jannik](https://www.linkedin.com/in/jannik-grothusen/), a former robot learning researcher at UC Berkeley and TU Munich, with a degree in Mechatronics. I’ve contributed to frontier open-source projects in robotic manipulation, and my work in the space has been [featured by TechCrunch](https://techcrunch.com/2024/11/04/built-in-four-days-this-120-robot-arm-cleans-a-spill-with-help-from-gpt-4o/).\n\n# Our Ask\n\nWe’re looking for pilot partners who want to automate repetitive manual tasks in their operations - and help us build the future of low-cost robotic labor.\n\n![uploaded image](/media/?type=post&id=91187&key=user_uploads/2427273/06432ad1-2691-4aac-b7ec-61325aa2c246)\n\n", "url": "https://www.ycombinator.com/launches/Nil-trlc-affordable-robotic-workers", "votes": 21, "created_at": "2025-06-10T19:52:00.513Z" } ] }, { "id": 30434, "name": "Zeon Systems", "slug": "zeon-systems", "former_names": [ "Zeon Technologies" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/95786f7359527c0b6051a250e5f3cb00d43b578b.png", "website": "https://www.zeonsystems.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We’re building AI-powered systems that automate manual work in scientific labs using robotics.\r\n\r\nScientists simply type their experiment in plain English. Zeon translates it into code and runs it on robotic arms (no coding required).\r\n\r\nBy controlling robots with natural language, we’re enabling automation for every lab, every scientist, and every experiment.\r\n\r\nZeon is lab-aware. It detects equipment, adapts to protocols, and moves autonomously between instruments to execute full workflows.\r\n\r\nWe’re already working with labs at Stanford and UCSF to accelerate discovery - from running overnight nanoparticle fluorescence measurements to safely disposing of hundreds of bacterial samples. \r\n\r\nZeon reclaims time for what matters most: the science.", "one_liner": "AI-powered robotics for scientific lab automation.", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1745428848, "tags": [ "Robotic Process Automation", "Robotics", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/zeon-systems", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/zeon-systems.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/zeon-systems/", "x_url": "https://x.com/zeonsystems", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/95786f7359527c0b6051a250e5f3cb00d43b578b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 379901, "full_name": "Brontë Kolar", "title": "Founder/CEO", "founder_bio": "cofounder & CEO @ Zeon Systems (YC X25)\n-\naccelerating science with robotics + AI.\n-\nbuilt electronic systems for electric aircraft and high-density batteries before pivoting to computational biology research at UCSF and UPenn. early engineer at LatchBio.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bronte-kolar", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef08976f1f1aa308a330e07e05531de19928bf84.jpg" }, { "user_id": 2502032, "full_name": "Tahir D'Mello", "title": "Founder/CTO", "founder_bio": "cofounder & CTO @ Zeon Systems (YC X25)\naccelerating science with robotics and AI.\n\n----------------\n\nbeen building software and ML for science labs basically all my adult life, doing computational research at IIT, Yale and working in biotech and pharma across India and the US.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tahirdme/", "x_url": "https://x.com/TahirMello", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/437000c0ac09fa8258a3cafc8d88e43d147e15be.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 89951, "title": "Zeon Systems: AI-powered robotics for lab automation 🧪", "tagline": "We turn natural language into real-time lab automation.", "body": "Hey everyone 👋\n\nWe’re [Brontë](https://www.linkedin.com/in/bronte-kolar/) and [Tahir](https://www.linkedin.com/in/tahirdme/) – co-founders of [Zeon Systems](https://www.zeonsystems.ai/). We’re on a mission to make science move at the speed of thought.\n\n# **TL;DR**\n\n**We turn natural language into lab automation.** Scientists type their experiment in English. Our software programs robots to execute it.\\\n\n\n# **Problem**\n\nThe biggest scientific breakthroughs -- _think Selman Waksman mining microbes for antibiotics or Akira Yoshino testing early lithium-ion batteries_ _at Sony_ -- started in labs through painful, manual work. **Decades later, discovery still relies on pipetting, weighing, and prepping by hand.**\n\nIt’s inefficient, exhausting, and slows down discovery. Automation solutions exist, but are often **$$$** or built for **specific use cases**. \n\nWe want to change that.\n\n# **Our Take**\n\nWhat if you could run an experiment by just typing it out? \n\nThat’s what we’re building for: **automation that’s usable by everyday scientists.**\n\n# **The Zeon System 🦾**\n\nWe sell a hardware + software system that runs lab experiments using off-the-shelf robotics. **Labs receive a ready-to-run automation setup** that includes:\n\n* Our AI-powered software\n* 2 off-the-shelf robotics arms with mounted depth cameras\n\n_How it works:_\n\n* Scientists describe protocols in plain English\n* Zeon interprets them, detects lab tools using computer vision, and plans the execution\n* The system generates and executes robotic code in real-time, adapting to the specific lab environment\n\n![uploaded image](/media/?type=post&id=89951&key=user_uploads/379901/f18d8421-74dc-4213-8f17-a91419504529)\n\n# **What’s Possible**\n\nWe are already piloting with labs at UCSF and Stanford to:\n\n* Run fluorescence screens for nanoparticles overnight\n* Automate multichannel pipetting for clinical assays\n* Dispose of biohazardous waste while researchers sleep\n\n# **Big Picture**\n\nEventually, we want to **enable labs that run themselves**. Think self-driving labs on Mars or in the middle of the ocean doing science while humans dream. 🪐 🧪🧬\n\n# **The Team**\n\n[Brontë](https://www.linkedin.com/in/bronte-kolar/) built electronic systems for electric aircraft and high-density battery packs before pivoting to computational biology research at UCSF, UC Berkeley, and Erasmus Medical Center. \n\n[Tahir](https://www.linkedin.com/in/tahirdme/) has been building software and ML for science labs basically all his adult life, doing computational research at IIT, Yale and working in biotech and pharma across India and the US.\n\n# \n\n# **Our Ask**\n\nWe are looking for **pilot partners** interested in deploying our system in their labs! \n\n* **Know a scientific lab or company that should work with us?** → Email us at [founders@zeonsystems.ai](mailto:founders@zeonsystems.ai) \n* **Resonate with our message?** → Share this post (or our [promo video](https://www.youtube.com/watch?v=x-jid99QPFA))\n\n—\n\n[_Let’s make science move faster._](https://www.zeonsystems.ai/)\n\n\\-Brontë + Tahir\n\n![uploaded image](/media/?type=post&id=89951&key=user_uploads/379901/3896ab4e-84de-4bfd-ad2e-7fd6f0462be3)\n\n", "url": "https://www.ycombinator.com/launches/NOp-zeon-systems-ai-powered-robotics-for-lab-automation", "votes": 65, "created_at": "2025-04-29T23:00:50.835Z" } ] }, { "id": 30445, "name": "Mbodi AI", "slug": "mbodi-ai", "former_names": [ "mbodi AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff64e6d141801dbac20dba751384bbd49f916a4a.png", "website": "https://www.mbodi.ai/", "all_locations": "New York City, NY, USA", "long_description": "Teach robots new skills through natural language and run reliably in production in minutes.\r\n\r\nMbodi combines generative AI and agent orchestration, turning everyday language and quick demos into precise, reliable robot actions for industrial automation.", "one_liner": "Industrial Robots that Learn and Operate Like Humans", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1747670628, "tags": [ "Robotics", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mbodi-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/mbodi-ai.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mbodiai", "x_url": "https://x.com/mbodiai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/mbodiai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff64e6d141801dbac20dba751384bbd49f916a4a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1639266, "full_name": "Sebastian Peralta", "title": "Founder/CEO", "founder_bio": "Interested in making humans lazier.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sebjperalta", "x_url": "https://x.com/sebjperalta", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53dc9bdb64b25f4747b238dc99fe2c79d0b2cc31.jpg" }, { "user_id": 1111983, "full_name": "Xavier (Tianhao) Chi", "title": "Founder", "founder_bio": "Building the future of AI x Robotics\nEx-Google TL, 8.8.8.8, Guardian of the Internet.\nECE @ UIUC", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/xavierchi/", "x_url": "https://x.com/chitianhao", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/983ab0d4bb8ac297b97811c83724ded2b8c13dbe.jpg" } ], "jobs": [ { "id": 104525, "title": "Founding Research Engineer", "url": "https://www.ycombinator.com/companies/mbodi-ai/jobs/NJF6jNS-founding-research-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "0.50% - 2.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "ML", "Python", "AI Agents" ] }, { "id": 104526, "title": "Senior Robotics Engineer", "url": "https://www.ycombinator.com/companies/mbodi-ai/jobs/KHiy8Yk-senior-robotics-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$150K - $250K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "How Mbodi is solving robotics’ scaling problem, with Xavier Chi | TechCrunch", "url": "https://techcrunch.com/podcast/how-mbodi-is-solving-robotics-scaling-problem-with-xavier-chi/", "date": "Sep 09, 2026" }, { "title": "Meet Mbodi, Automate’s 2026 Startup Challenge winner | Association for Advancing Automation", "url": "https://www.automate.org/ai/industry-insights/meet-mbodi-automates-2026-startup-challenge-winner", "date": "Jul 06, 2026" }, { "title": "Mbodi will show how it can train a robot using AI agents at TechCrunch Disrupt 2025 | TechCrunch", "url": "https://techcrunch.com/2025/10/27/mbodi-will-show-how-it-can-train-a-robot-using-ai-agents-at-techcrunch-disrupt-2025/", "date": "Oct 26, 2025" }, { "title": "10 Most Exciting AI Agent Startups at YC Demo Day Spring Cohort 2025 - Business Insider", "url": "https://www.businessinsider.com/y-combinator-yc-demo-day-spring-ai-agent-startups-2025-6", "date": "Jun 10, 2025" }, { "title": "Mbodi AI launches on Y Combinator, developing embodied AI for industrial robots", "url": "https://www.therobotreport.com/mbodi-ai-launches-y-combinator-developing-embodied-ai-industrial-robots/", "date": "May 22, 2025" } ], "launches": [ { "id": 90633, "title": "Mbodi AI- Embodied AI for Industrial Robotics", "tagline": "Teach robots new skills through natural language and run reliably in production, in minutes.", "body": "Hey friends [👋](https://emojipedia.org/waving-hand)\n\nThis is [Xavier](https://www.linkedin.com/in/xavierchi/) and [Sebastian](https://www.linkedin.com/in/sebbyjp/) - Co-Founders of Mbodi AI, and we are making robots learn like humans.\n\n# **TL;DR**\n\n**We’re building an embodied AI platform that lets anyone teach robots new skills — just by talking to them.** No code. No engineers. No week-long reprogram. Mbodi turns natural language and quick demos into precise, reliable robot actions that run in production in minutes, and adapt as often as you need.\n\nWe are now rolling out real-world deployments to customers with a joint commercialization partner, [ABB](https://new.abb.com/products/robotics), the world’s leading robot manufacturer.\n\nhttps://youtu.be/CwRxP3_F9MA\n\n# 🚨 **The Problem**\n\nManufacturing is facing a critical inflection point.\n\n**Labor crisis:** Labor accounts for nearly half of global GDP ($40+ trillion), but over 70% of factories face severe labor shortages.\n\n**Flexibility gap:** Traditional robots require week-long reprogramming by engineers or specialists every time things change.\n\n**Untapped automation potential:** Hundreds of billions of dollars in manufacturing tasks, especially those with high variation, remain out of reach for automation because robots can’t adapt fast enough.\n\nThis mismatch, between inflexible robots and ever-shifting production needs, leaves a massive automation gap across global manufacturing. We simply need robots to be more **versatile**. It wasn’t quite possible — **until now**.\n\n# **🧠 How Mbodi AI Helps**\n\nMbodi is an embodied AI platform that makes robots learn like humans, with natural language. So anyone can teach robots new skills by talking to them and execute the learned skills reliably in production, in minutes.\n\n![uploaded image](/media/?type=post&id=90633&key=user_uploads/1111983/cd7897e7-4fc9-4137-8c3d-2b6fe0b487bb)\n\nWe’ve built a cloud-to-edge system that takes your instructions, understands the environment, makes a plan, and turns it into precise, safe robot actions. All within a second. Our universal agent framework can run across any robotic hardware, coordinating perception, reasoning, planning, and control in real time.\n\n* 🕐 No week-long reprograms\n* 👷‍♂️ No on-site engineers\n* 🗣️ Just say what you want done\n* 🏭 Run reliably in production\n\nWhen one robot learns something, the entire fleet does. Individual skills can be reused, repurposed, and adapted instantly — across machines, factories, and tasks.\n\n# 🚀 **What’s Happening**\n\nWe’re moving toward real-world deployments after entering a joint commercialization agreement with ABB Robotics, one of the world’s leading robot manufacturers, following our win in their global AI Startup Challenge from among hundreds. This represents a first-of-its-kind system in industrial automation.\n\nWe’re building toward a world where robots are as easy to teach and adapt as software — turning them into true consumer commodities and making automation accessible to every factory and beyond.\n\n# 📣 **Our Ask**\n\nIf you're a **manufacturer**, **system integrator**, or **robot maker** exploring more flexible and intelligent automation, we’d love to connect and solve automation challenges that were previously out of reach.\n\nReach us at: [**founders@mbodi.ai**](mailto:founders@mbodi.ai)\n\nWe’re also strong advocates of the open-source community. We open-sourced one of our libraries, [embodied-agents](https://github.com/mbodiai/embodied-agents), to enable seamless integration of transformer models into robotics stacks, with more open-source projects coming in the future.\n\n# 👥 **The Team**\n\n[Sebastian Peralta](https://www.linkedin.com/in/sebbyjp/) is a physicist, roboticist, and deep learning researcher. Before Mbodi, he was a core engineer at Google Public DNS (8.8.8.8), and earned a triple major (EE, CS, Physics) from UPenn, where he also conducted graduate research at the GRASP Robotics Lab.\n\n[Xavier (Tianhao) Chi](https://www.linkedin.com/in/xavierchi/) is a former tech lead of Google Public DNS (8.8.8.8), one of the world’s most critical internet services, with work featured in[ The Register](https://www.theregister.com/2023/01/19/google_dns_queries/) and topping[ Hacker News](https://news.ycombinator.com/item?id=39960125). He holds bachelor's and master's degrees in ECE from UIUC.\n\n![uploaded image](/media/?type=post&id=90633&key=user_uploads/1111983/87381bac-5704-43f6-9fa3-1796b4af0f53)\n\nWe started Mbodi after seeing robots fall short of their potential — stuck in brittle code and long deployment cycles. With breakthroughs in generative AI and agentic systems, we’re building a future where robots can truly learn, adapt, and scale.\n\n![uploaded image](/media/?type=post&id=90633&key=user_uploads/1111983/447ef918-87d3-4a90-a120-04274434878f)\n\n", "url": "https://www.ycombinator.com/launches/NZp-mbodi-ai-embodied-ai-for-industrial-robotics", "votes": 98, "created_at": "2025-05-22T14:25:21.451Z" } ] }, { "id": 30502, "name": "NODI Energy", "slug": "nodi-energy", "former_names": [ "PowerMatrix" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a4a4e15d9d456412939a83c9d998aaeedade968a.png", "website": "https://www.nodienergy.com", "all_locations": "London, England, United Kingdom", "long_description": "NODI Energy is building distributed energy infrastructure to rewire the grid. \r\n\r\nWe deploy and aggregate batteries at the edge and orchestrate them as distributed nodes, providing locational flexibility to the rigid grid — relieving congestion and unlocking capacity at constrained locations, so data centers can connect in weeks instead of waiting decades for reinforcement.", "one_liner": "Distributed energy infrastructure unlocking grid power to data centers", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1748546232, "tags": [ "Energy Storage", "Hard Tech", "Hardware", "Energy", "Electronics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/nodi-energy", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/nodi-energy.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/pwrmx", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a4a4e15d9d456412939a83c9d998aaeedade968a.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": 2116203, "full_name": "Borong Hu", "title": "Founder/CEO", "founder_bio": "I have been working on power electronics for over ten years and have extensive experience in R&D, manufacturing, and business in electronics engineering area.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/boronghu/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c9eaf5c1c126122c529977520f01fba9c208a2a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110609, "title": "NODI Energy - Distributed Energy Infrastructure to Rewire the Grid", "tagline": "Making the grid flexible to unlock GW power, enabling on-grid interconnection for data centers", "body": "Hi everyone 👋! We're [Borong](https://uk.linkedin.com/in/boronghu) and [Catherine](https://www.linkedin.com/in/cathjeong/), co-founders of NODI Energy!\n\n**TL; DR:**\n\nNODI is building distributed energy infrastructure to rewire the grid. We are deploying and aggregating batteries at the edge. All these distributed nodes are orchestrated to make the existing rigid grid more flexible, reducing grid congestion and unlocking more capacity at specific constrained locations. So data centers can get **_on-grid_** connection in weeks instead of waiting on grid reinforcement for decades. ⚡ ️ **Gigawatts unlockable on the way!**\n\nLaunch video: \n\n### **Problem**\n\nThe existing power grid was built for the fossil-fuel era, not for tomorrow’s economy. It’s too rigid to deliver power to the right place at the right time.\n\n* 2,000 GW of projects, including data centers, sit stalled in grid connection queues, waiting up to 15 years.\n* 200 TWh of renewable energy was curtailed last year, with several countries dumping over 20% of their generation.\n* Over 1,000 GW of capacity could potentially be unlocked from the existing network, only if the grid is flexible enough.\n\n### **Solution**\n\nWe are building a vertically integrated engine to create a flexible grid. Three layers: \n\n* **Hardware:** originating from the edge, we deploy our own plug-in batteries and aggregate energy assets from third parties.\n* **Software:** orchestrating and operating as these distributed nodes to enable real-time locational flexibility in the grid.\n* **Intelligence:** modeling the grid from edge data, reducing grid congestion, and delivering capacity at the right time and place.\n\n### **It’s giving main character energy**🌟\n\nResults in 6 months:\n\n* 2,000 plug-in batteries on the way, per month!\n* Onboarding >1 GW of batteries in 2026.\n* Secured a pipeline to aggregate 10 GW of assets in 2027.\n* Soon to be one of the largest multinational VPPs.\n\n### **Team**\n\nBorong Hu, PhD in power electronics from Warwick and postdoc at Cambridge University, with 60+ papers, IEEE awards, and government grant funding. Built power conversion systems for AI data centers and one of the world's largest offshore wind turbines. Led R&D collaborations with world-leading industrial partners.\n\nCatherine Jeong, Second-time industrial tech founder with a decade of experience across energy, climate investment, and policy. Holds a BA in Political Science from Brown University and an MSc in Climate Innovation from London School of Economics. Former NCAA Division I fencer, now taking a stab at the grid.\n\n\\\n**Ask**\n\n* **Project developers,** stuck in a connection queue in US, GB, Netherlands, Germany, and Ireland, looking for a demand-side answer. Tell us what a year of delay costs you.\n* **Network operators,** who want to know LV visibility and constraints.\n* **Utilities and energy suppliers,** who need predictable behind-the-meter capacity they can count on\n* **Households and small businesses in urban areas who** think electricity bills are too expensive. \n* Hiring ambitious talent to join the Power Team. \n* Intros to any of the above.\n\nContact: info@nodienergy.com\n\n![uploaded image](/media/?type=post&id=110609&key=user_uploads/2116203/c3942998-0111-4265-9f36-cd3da7b0ba75)\n\n", "url": "https://www.ycombinator.com/launches/Sm1-nodi-energy-distributed-energy-infrastructure-to-rewire-the-grid", "votes": 8, "created_at": "2026-08-14T22:20:32.941Z" }, { "id": 90889, "title": "PowerMatrix: Efficient and Compact Power Supply for AI Hardware", "tagline": "Efficient and compact power supply for GPU and data centers to save 50% energy", "body": "**TL;DR**\n\nPowerMatrix delivers highly efficient and compact power supplies for cutting-edge applications—from GPUs and data centers to drones, EVs, and aerospace. Based on proprietary technologies, our power supply systems can reduce energy loss by up to 50%. We’ve built working prototypes and are piloting with world-leading partners.\n\n# **The Problem**\n\nAI computing heavily relies on data centers where every watt of electricity is processed and converted by multiple stages of power supplies—from the power grid to processors.\n\nCurrently power supply solutions face significant challenges:\n\n* **Inefficiency:** Data centers consume 5% - 10% of global electricity, while 20% of that (100TWh) is wasted on power supplies.\n* **Size Constraints:** Power supply is given very limited space in server trays and on GPU board surface but required to provide much higher power.\n* **Performance Gaps:** It is required to provide a voltage conversion ratio over 100 and provide 1A/ns dynamics for robust operation of future advanced AI computing processors.\n\n# Our Solution\n\nBased on proprietary technologies, we provide the reverlutionary **single-stage vertical power delivery solution:**\n\n* **Single Stage:** directly convert high voltage to <1V low voltage, eliminating inefficiencies multiple stage power conversion chains.\n\n ![uploaded image](/media/?type=post&id=90889&key=user_uploads/2116203/943302c9-5ff6-4189-8cd3-47d80cd3b6d0)\n\n* **Vertical Power Delivery:** minimize power transfer loop, locating directly underneath computing chips.\n\n ![uploaded image](/media/?type=post&id=90889&key=user_uploads/2116203/a4ce171d-72bb-4bfe-b640-23d7eb2db1d6)\n\n\nResults vs. incumbents:\n\n* **80%** smaller form factor\n* **50%** less energy wasted\n* **10×** faster dynamic response\n\nDeploying our modules can save customers **$10 B** annually, cut **30 TWh** of electricity waste, and avoid **100 Mt** of CO₂ emissions each year.\n\n# Team\n\nWe have more than ten years of experience in power electronics and are dedicated to solve the most challenging tasks in this area.\n\nBorong did a Postdoc at the University of Cambridge and got his PhD in power electronics from the University of Warwick. He has extensive experience in research: he published 60 papers that got 650 citations and received the IEEE ECCE William Portnoy Award. He also worked on a power converter for the largest wind turbine at GE, and led a team at Bitmain, a bitcoin miner, to develop a new power supply.\n\nXufu got his PhD in power electronics from the University of Cambridge. He received the Semikron Danfoss Young Engineer Award in 2025, the Trinity Bradfield Prize Award in 2025, and First Place Award of the IEEE ECCE Best Student Project Demonstration in 2023. He also published 15 papers on power electronics that have 41 citations.\n\n# Our Ask\n\nIf you’re building AI hardware, data-center infrastructure, or next-gen power-electronics, let’s connect! [info@pwrmatrix.com](mailto:info@pwrmatrix.com)\n\n![uploaded image](/media/?type=post&id=90889&key=user_uploads/2116203/a8103e69-94a4-451c-9bbd-7f740349c937)\n\n", "url": "https://www.ycombinator.com/launches/Ndx-powermatrix-efficient-and-compact-power-supply-for-ai-hardware", "votes": 20, "created_at": "2025-05-30T19:03:39.513Z" } ] }, { "id": 30508, "name": "Sygaldry Technologies", "slug": "sygaldry-technologies", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b5d9349ad4284730525de96954c759add39981fc.png", "website": "https://www.sygaldry.com", "all_locations": "Ann Arbor, MI, USA", "long_description": "We’re building quantum-accelerated AI servers so organizations building AI can exponentially speed up training and inference. And we’re making tools for AI researchers to integrate quantum capabilities into AI models and workflows. \r\n", "one_liner": "quantum-accelerated AI servers", "team_size": null, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1748361107, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials" ], "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/sygaldry-technologies", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/sygaldry-technologies.json", "year_founded": 2024, "city": "Ann Arbor", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sygaldry-technologies", "x_url": "https://x.com/sygaldry_tech", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b5d9349ad4284730525de96954c759add39981fc.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": 41143, "full_name": "Chad Rigetti", "title": "Founder/CEO", "founder_bio": "I build quantum computers. Founder of Rigetti Computing (YC S14, NASDAQ: RGTI). ex-IBM. Yale Ph.D. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chad-rigetti-9891562", "x_url": "https://twitter.com/ChadRigetti", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9e4ac4daf1a3a94aea2e758ffff39833656fd3bf.jpg" }, { "user_id": 2648494, "full_name": "Idalia Friedson", "title": "Founder", "founder_bio": "Bringing quantum technologies to market. \nex-Chief Strategy Officer at Strangeworks \nex- Chief of Staff at Rigetti ($RGTI)\nex-product at Publicis Sapient\nPassionate about tech policy & ethics -- QAI Policy Center Board & PQIC Quantum Policy & Ethics core member", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/idaliafriedson/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ebd10160262fddbda6bf7a014bceb905382f4068.jpg" } ], "jobs": [ { "id": 103100, "title": "Research Scientist - Frontier AI/ML & Quantum Algorithms", "url": "https://www.ycombinator.com/companies/sygaldry-technologies/jobs/oOdEn1O-research-scientist-frontier-ai-ml-quantum-algorithms", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$200K - $300K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 103101, "title": "Applied AI Scientist, Technology Partnerships (Senior/Principal)", "url": "https://www.ycombinator.com/companies/sygaldry-technologies/jobs/lJARmJZ-applied-ai-scientist-technology-partnerships-senior-principal", "location": "San Francisco", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$200K - $300K", "equity_range": "", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Exclusive: Chad Rigetti’s Sygaldry raises $139 million to bring quantum hardware to AI data centers | Fortune", "url": "https://fortune.com/2026/04/14/exclusive-chad-rigettis-sygaldry-raises-139-million-quantum-hardware-ai-data-centers/", "date": "Apr 14, 2026" }, { "title": "This Startup Wants to Harness Quantum Computing to Make AI More Affordable", "url": "https://www.inc.com/claire-cameron/this-startup-wants-to-harness-quantum-computing-to-make-ai-more-affordable/91221377", "date": "Aug 12, 2025" } ], "launches": [ { "id": 90775, "title": "Sygaldry: Quantum-Accelerated AI Servers", "tagline": "Solve AI cost and energy bottlenecks by exponentially speeding up training and inference", "body": "We’re Chad Rigetti and Idalia Friedson, and we’re building Sygaldry. Chad Rigetti is in second-time founder mode with Sygaldry, having built quantum computing company Rigetti Computing from YC S14 to a public company (NASDAQ: RGTI). Idalia Friedson, former Chief Strategy Officer at Strangeworks, helped Chad take Rigetti public in 2022 after starting the world’s first quantum policy center at the Hudson Institute.\n\n**Why Sygaldry?**\n\nSygaldry’s quantum-accelerated AI servers will allow companies to innovate more quickly, improve margins, and deploy better AI products by providing speedups at a fraction of the cost and energy of GPUs alone.\n\nhttps://youtu.be/X7NxwNPHpQM\n\n**The Problem:**\n\nAI progress demands more chips, more power, and more data centers—a **trajectory that is physically and environmentally unsustainable** with purely classical infrastructure.\n\n**The Solution:**\n\nAugment classical infrastructure with quantum processors built for AI, since quantum can provide exponential speedups for specific AI tasks. **Sygaldry is building quantum-accelerated AI servers to speed up training and inference and creating tools for AI researchers to integrate quantum capabilities into AI models and workflows.**\n\n**The Impact:**\n\n* Reduce the time between model releases\n* Fine-tune existing models faster\n* Enable faster token generation for distributed LLMs\n* Unlock faster inference for diffusion models\n* Conduct greater exploration in novel model architecture\n* Leverage secure quantum communication channels\n* Increase AI affordability, accessibility, and personalization\n\n**Sygaldry’s Unique Approach:**\n\nMost quantum computers are built using one type of quantum bit, but each qubit has distinct strengths and weaknesses. **Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to leverage their strengths, while avoiding their limitations.** This is the same way classical computers are made. We believe this approach to quantum will seem obvious in retrospect.\n\n![uploaded image](/media/?type=post&id=90775&key=user_uploads/41143/6f4e8dd7-291c-4c1e-aa0a-d4cb91a7b129)\n\n**Get Involved:**\n\nWe envision a future of affordable, sustainable, personalized, and secure AI. If you are at the frontier of AI and committed to building this version of the future, please get in touch with us. We’d love to work together.\n\n**Contact Us:**\n\nEmail: [letsbuild@sygaldry.com](mailto:letsbuild@sygaldry.com)\n\nFollow us at @sygaldry_tech", "url": "https://www.ycombinator.com/launches/Nc7-sygaldry-quantum-accelerated-ai-servers", "votes": 40, "created_at": "2025-05-27T16:22:26.496Z" } ] }, { "id": 30509, "name": "Boost Robotics", "slug": "boost-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4ab11f23c518bbbd560df743f85f60218829e65f.png", "website": "https://www.boostrobotics.ai", "all_locations": "Boston, MA, USA", "long_description": "Boost Robotics is building autonomous mobile manipulation robots to remotely perform manual tasks in data centers. \r\n\r\nThe surge in AI applications is pushing data centers to scale faster than they can manage, leading to suboptimal operations and staffing shortages amid rising power and compute demands.\r\n\r\nWe save data centers millions in insurance premiums and SLA violations by increasing the frequency of inspection and maintenance while reducing the time it takes to triage and address failures.", "one_liner": "Robots for the inspection and maintenance of data centers", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1748984174, "tags": [ "Hard Tech", "Hardware", "Robotics", "Infrastructure", "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": [ { "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 met as engineering school freshmen at Carnegie Mellon University in 2015, when we both joined the same competitive Bhangra dance team. Over the next 10 years, we have lived together, performed and won awards at Bhangra competitions, worked together in school projects, and both received separate robotics Master’s degrees from CMU’s Robotics Institute. In every context we have worked together, we have found ways to grow, overcome challenges, and succeed. We’re excited to take the next step with this venture." } ], "url": "https://www.ycombinator.com/companies/boost-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/boost-robotics.json", "year_founded": 2025, "city": "Boston", "country": "US", "linkedin_url": "https://linkedin.com/company/boost-robotics", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4ab11f23c518bbbd560df743f85f60218829e65f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3e373405fcdb24fc612d085c8d27845b37501b94.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 973181, "full_name": "Hardik Singh", "title": "Founder/CEO", "founder_bio": "Co-Founder @ Boost Robotics.\n\nMS in Robotic Systems Development @ CMU Robotics Institute. Commencement speaker at CMU SCS Masters Ceremony.\n\nI've worked on nearly every robot you can think of: autonomous drones, rovers, tractors, hexapods, quadrupeds, and robot arms - both cobot and industrial.\n\nRobots are hard. Building a talented team greater than the sum of its parts is the only way to do it.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hardiksingh", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a81e9e30f870f18ad982d9ab996528d35300c310.jpg" }, { "user_id": 2564407, "full_name": "Hans Kumar", "title": "Founder/CTO", "founder_bio": "Co-Founder at Boost Robotics. Previously at Boston Dynamics and Carnegie Mellon Robotics Institute. Eagles fan and Taco Bell fan.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kumarhans/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/085ccf5a8fc02e387262789439bdd65ac582ed38.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 91007, "title": "Boost Robotics - Robots for the inspection and maintenance of data centers", "tagline": "Physical Agents for Digital Infrastructure", "body": "Hello!\n\nWe are [Hans](https://www.linkedin.com/in/kumarhans) and [Hardik](https://www.linkedin.com/in/hardiksingh) - longtime friends and co-founders of Boost Robotics.\n\n**TL;DR**\n\nBoost Robotics builds autonomous mobile manipulation robots that can inspect and physically interact with data center infrastructure.\n\nInstead of dispatching technicians for every cable check, reboot, or hardware swap, data centers can now triage and resolve issues through “robot remote hands”. When not performing interventions, the robots continuously provide 24/7 security monitoring and operational analytics.\n\nhttps://www.youtube.com/watch?v=SVqbUd1crU0\n\n🚨 **The Problem**\n\nAs AI infrastructure continues to scale up, data center physical operations are becoming increasingly difficult:\n\n* **Growth bottleneck:** AI demand is scaling faster than the operational capacity to support it.\n* **Increasingly Remote Locations:** Data centers are being built near cheaper power sources in sparsely populated areas—often with limited access to skilled labor.\n* **Competition:** Hyperscalers are looking for every possible edge. Downtime means SLA violations and lost revenue.\n* **Hazardous Environments:** Maintenance involves high-voltage power and toxic liquid coolants.\n\nNow more than ever, robots are gaining the dexterity and generality to solve these critical problems.\n\n🤖 **The Solution**\n\nWe are building a general purpose robot to handle a variety of use cases in data centers. \n\n* Predict, find, and solve issues faster, even when you’re not physically on-site. \n* Enable one skilled technician to debug multiple issues across multiple sites through context-aware teleoperation, and eventually autonomy.\n* Provide 24/7 security monitoring and inventory management, simplifying compliance and financial audits while collecting data for your data center digital twin models.\n\n**Early Renderings of our Robot**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfjbzl61UaeLu1lIocEDGGwIyFhxHWCF9OIaKZb85nQ4MS-muTqxZDodGZE1IyiKbf8Ryo1f5n_tcic5oV284i0IvnG_4D1V3X2lxolzUC32Nrc4yeRF1uAHrxs71tU3NEnXoT-2g?key=m-hLuOQB66mOy66_Sg1ptQ)\n\n**Bi-Manual Teleoperation of the Manipulation Subsystem**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdqZfjtJGw48PJmg0KUnARoJVCpa29xC7wyK_3JTD7SuCact7vXgAA9csNhLUSKxNknFKbE9xTIsr6Uk5qwVUXSLJdd2QuRUt8EiSbtaFKRofi4p9PJVw8_jp8WkYIMcyr5GwXk?key=m-hLuOQB66mOy66_Sg1ptQ)\n\n# **👥 The Team**\n\nWe met as engineering school freshmen at Carnegie Mellon University in 2015, when we both joined the same competitive Bhangra dance team. Over the next 10 years, we lived together, worked together in school projects, and both received Master’s degrees from CMU’s Robotics Institute. We always knew we would start a company together.\n\n![uploaded image](/media/?type=post&id=91007&key=user_uploads/2564407/f3defc57-762e-47f4-9bfa-4a346913346b)\n\nHardik was previously robotics team lead at an agtech startup where he pivoted the team to a new product and made sales within 1 month. He was selected as commencement speaker for the CMU School of Computer Science Masters ceremony by his professors in recognition of his leadership.\n\nHans was previously a Staff Software Engineer at Boston Dynamics, where he worked on productizing computer vision algorithms for the Spot inspection robot. Before that, he built GPS-denied drone autonomy at a startup and conducted legged robotics research at CMU’s Robotics Institute.\n\n**Our Ask**\n\nWe're actively seeking forward-thinking data centers to pilot our autonomous robotics platform at their facilities. \n\nReach out to us at [**founders@boostrobotics.ai**](mailto:founders@boostrobotics.ai) — let’s shape the future of data center operations together.\n\n![uploaded image](/media/?type=post&id=91007&key=user_uploads/2564407/6f2eb4dc-5340-46dc-a264-fdf00f57c8ce)\n\n", "url": "https://www.ycombinator.com/launches/Nfr-boost-robotics-robots-for-the-inspection-and-maintenance-of-data-centers", "votes": 73, "created_at": "2025-06-04T02:59:25.110Z" } ] }, { "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": 30530, "name": "Rimba", "slug": "rimba", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b68af887ba539134268ac073e1a367094447c416.png", "website": "https://rimba.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Rimba integrates fragmented data — PDFs, Excel files, time-series, IoT sensors, equipment telemetry, and system performance data — to complete a workflow, such as populating a database, running analytics, and creating a report. \r\n\r\nOur software streamlines the entire journey from data capture to report creation for the physical world, starting with heavy industries such as renewables, oil & gas, supply chain, and chemicals. \r\n\r\nLegacy systems don't communicate, and critical operational data remains siloed. Rimba bridges that gap by connecting data from fragmented systems and structures — ERPs, SCADA, SharePoint, email, and more — to automate workflows, classify inputs, transform data, and improve data monitoring.", "one_liner": "Streamlining Data Capture to Report Creation for Heavy Industries", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1744344066, "tags": [ "SaaS", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Climate" ], "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/rimba", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/rimba.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rimba-compliance-automation/", "x_url": "https://x.com/Rimba_AI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/rimba", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b68af887ba539134268ac073e1a367094447c416.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": 1078902, "full_name": "Timothy Daniel", "title": "Founder/CEO", "founder_bio": "Ex-head of compliance and ex-legal counsel overseeing reporting and audit for energy & mining supply chains.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/timothydaniel09", "x_url": "https://x.com/tdanielh?s=11", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/58033eb6990a003a9c0e4c398eb2e3703b73df38.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90502, "title": "Rimba - AI for Energy & Industrial Compliance", "tagline": "We monitor energy facilities and turns messy operational data—no matter the format—into clean, validated compliance reports.", "body": "Hey everyone, we’re Tim and Akshay – cofounders of **Rimba** 👋\n\n**TL;DR**\\\nAI, transportation, electricity... All run on massive amounts of energy, and America is running heading to an energy crisis. It’s incredibly difficult to build or operate energy projects, and REGULATORY COMPLIANCE requirements made it even harder. Energy companies are slapped with $$$ tens of millions in penalties while buried in a mountain of spreadsheets, PDFs, and forms to stay compliant.\n\nWe’re building **Rimba** to fix that.\n\n**\\*\\*Ask:\\*\\*\\\nKnow someone or work in energy (mom, dad, aunt, grandpa)? Introduce us [timothy@rimba.ai](mailto:timothy@rimba.ai) or send them our [LinkedIn Launch](https://www.linkedin.com/posts/y-combinator_rimba-yc-x25-is-ai-for-energy-industrial-activity-7329943880416612352-aryT?utm_source=share&utm_medium=member_desktop&rcm=ACoAABs6HnMB3XNRo_a9KqN2METPAum-VybW7UA).**\n\nhttps://www.youtube.com/watch?v=MoNWA6gVa6Y\n\n## **❌ The Problem**\n\n## Compliance today is manual, error-prone, and incredibly expensive. From low carbon fuel reports, like\n\n**LCFS, RFS,** to air permits, from tax credit filings to prevailing wage documentation, and more.\\\nA look at the numbers:\n\n* $23B+ is spent annually on energy compliance in the U.S.\n* $2B+ in annual fines\n* Not to mention the missed incentive and tax credit revenue. Plus 1,000s of hours lost spent on copy-pasting values across spreadsheets, data cleaning, and filings.\n\nAnd yet—there are **no modern tools** built for how energy producers actually operate: across spreadsheets, legacy software, and passing data back-and-forth.\n\n## **💡 Our Solution:**\n\n## **One Platform for Energy & Industrial Compliance Automation**\n\n## **Rimba** is building the compliance operating system for the industrial sector.\n\n1. We monitor and extract operational data from **any source**—ERP Data, meter data, PDF—and turn it into **clean, structured, and report-ready data**.\n2. Verify data and reports for regulations, such as:\n\n* LCFS / RFS / Air Permits\n* Prevailing Wage\n* Sustainability Certification\n\n1. Catch issues early and avoid mistakes that lead to costly penalties\n\nhttps://www.youtube.com/watch?v=Ph3RtlbTy64\n\n## **✅ The Result**\n\n* **Millions avoided in fines**\n* **80% reduction** in time and resources on monitoring, data cleaning, and reporting.\n* **Reduction of risk through visibility**\n\n\\\n**🚀 The Team**\\\nBoth Tim and Akshay worked in regulatory compliance, and bonded together through the struggle and their love for burgers.\n\n[Follow Rimba on LinkedIn](https://www.linkedin.com/company/rimba-compliance-automation/about/)\n\n* Tim (CEO) was formerly Head of Compliance and Legal Counsel at a mining and energy company. He spent years navigating a maze of regulations, environmental certification, and audit prep across spreadsheets, PDFs, and on-the-ground operational data. He didn’t just witness the problem. He lived it.\n* Akshay (CTO) was an AI Engineer at Klarity (W18) where he focused on transforming unstructured documents into structured data, streamlining compliance processes for finance and accounting teams. His experience includes building high-reliability systems at Goldman Sachs and Adobe; now he’s applying them to energy compliance.\\\n \\\n 📩 Email us at [**timothy@rimba.ai**](mailto:timothy@rimba.ai)\n\n![uploaded image](/media/?type=post&id=90502&key=user_uploads/1078902/1bb07ce5-734a-42ad-90fb-6be5bd95609d)\n\n", "url": "https://www.ycombinator.com/launches/NXi-rimba-ai-for-energy-industrial-compliance", "votes": 142, "created_at": "2025-05-18T18:38:55.898Z" } ] }, { "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": 30556, "name": "Cascade Space", "slug": "cascade-space", "former_names": [ "Heliosphere Network Corporation" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/36e55270dbc5bebe580db836e83f643f2121440a.png", "website": "https://cascadespace.com", "all_locations": "San Francisco, CA, USA", "long_description": "Cascade Space is building the commercial alternative to the Deep Space Network. Our first ground station, Earth Station Zero, will be online and downlinking data from the Moon in 2026, with plans to scale to a full global network by 2028.", "one_liner": "Commercial alternative to the Deep Space Network", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1746647881, "tags": [ "Hard Tech", "Hardware", "SaaS", "Aerospace", "Industrial" ], "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" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cascade-space", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/cascade-space.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cascade-space/", "x_url": "https://x.com/cascade_space", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/36e55270dbc5bebe580db836e83f643f2121440a.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": 222992, "full_name": "Jacob Portukalian", "title": "Founder/CEO", "founder_bio": "Cascade was founded by Jacob Portukalian, architect of comms systems at SpaceX, Tyvak, and Astra. He has assembled a team of elite space engineers to scale communications infrastructure for the next generation of space exploration companies.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jacob-portukalian", "x_url": "https://x.com/jportukalian", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec0d743fbdca8073e2272c94f64f25dc2b4502bc.jpg" }, { "user_id": 2222230, "full_name": "Arlen Abraham", "title": "Founder", "founder_bio": "Arlen is a deep generalist who thrives at the interfaces between hardware, software/firmware, product, and business. He brings a wealth of technical and leadership experience, not only from the aerospace industry, but also from consumer goods, communications, and energy.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arlenabraham/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/33d4c97f7c373e420260fa770b8870398e382c7e.jpg" } ], "jobs": [ { "id": 94460, "title": "Senior Mechanical Engineer", "url": "https://www.ycombinator.com/companies/cascade-space/jobs/oD1pldv-senior-mechanical-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$150 - $190", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 96236, "title": "Cascade Designer - Spacecraft communication system design software", "tagline": "Elite company tools designed for tiny teams", "body": "https://youtu.be/cPNXStE7LcE\n\nCascade Space was founded to build the ground station company of the future. But lack of large dishes is not the only thing broken about space communications, so are the design tools. \n\nIndustry standard spreadsheets are painful to build and maintain and error prone, but they can at least get you started. That said, they completely break down once you need to predict how your spacecraft will perform in real world dynamic environments, analyzing multiple variations of a system, or sharing and keeping the design updated across teams.\n\n![uploaded image](/media/?type=post&id=96236&key=user_uploads/222992/5bdf36f9-9f71-4796-9f12-ecbeba37d8c4)\n\nEvery space company eventually starts to build internal tooling to parse 3D antenna patterns and scripts to evaluate link performance over given flight trajectories. This is usually unplanned work done by RF engineers that takes months to get even a rudimentary implementation up and running. This software is very bespoke and often brittle, and makes the tight timelines of early stage companies even tighter.\n\nAcross the industry this work gets duplicated over, and over, and over. \n\n**Enter Cascade Designer**. The pipeline is already built. Start by designing your system in a graphical interface, get your link margin with a single button click. \n\n![uploaded image](/media/?type=post&id=96236&key=user_uploads/222992/7e4a5642-dc70-4093-a7d5-5a2b1802cda3)\n\nNext, analyze entire trajectories with a single API call. \n\n![uploaded image](/media/?type=post&id=96236&key=user_uploads/222992/980c9907-784c-4861-8758-b6341afd2721)\n\nDesigns can be shared with anyone on your team through our interface\n\n![uploaded image](/media/?type=post&id=96236&key=user_uploads/222992/bec0b967-999c-4089-849f-d0c547431498)\n\nWe built this out because the customers of the best ground network need the best design tools, but we didn’t just build this for our ground station customers. Anyone designing a spacecraft for any orbit using any ground station can use it. \n\nVisit our website to learn more and book your demo: https://cascade.space/designer/", "url": "https://www.ycombinator.com/launches/P2C-cascade-designer-spacecraft-communication-system-design-software", "votes": 18, "created_at": "2025-12-16T12:01:40.937Z" }, { "id": 90423, "title": "Cascade Space - Deep space communications as a service", "tagline": "Your next lunar mission just got easier!", "body": "# tl;dr\n\nCascade Space is building a turn-key communications system for lunar and deep space missions. Our ground station network and integrated software tools work together to maximize uptime and availability, while reducing spacecraft iteration cycles from weeks to hours. \n\n![uploaded image](/media/?type=post&id=90423&key=user_uploads/222992/7b3a56ce-8dc0-48db-a2e5-3badb2afd893)\n\n**Why are we building this and why now?**\n\nThe Deep Space Network (DSN), NASA’s global network of ground terminals for communicating with deep space probes, is [oversubscribed by 40% and in desperate need of upgrades.](https://newspaceeconomy.ca/2024/09/02/nasas-deep-space-network-challenges-and-the-road-ahead/) The DSN is all but unavailable for most commercial operations. Companies with missions going to the Moon and beyond have to deal with a patchwork of individual dish operators for every mission, each with bespoke hardware, specs, and interfaces. Furthermore, many of these commercial providers are not able to handle the demand and [operational failures also can lead to loss of mission](https://www.astroforge.com/updates-collection/odint-mission-debrief).\n\n![uploaded image](/media/?type=post&id=90423&key=user_uploads/222992/c6aa8968-e567-42e5-8866-866414630f22)\n\n**Comms system design is fraught with peril**\n\nThe spacecraft comms system design is tightly coupled to the available ground network. Engineers spend hundreds of hours poring over datasheets, on the phone with vendors and suppliers, and endless email threads, only to put all this data into a giant spreadsheet to make sense of it. Every iteration requires not only painful attention to detail, but also in-depth esoteric knowledge of how radio frequency systems and channel coding schemes work in order to accurately predict in-flight performance. Simple misunderstandings can lead to catastrophic errors in design and configuration.\n\n![uploaded image](/media/?type=post&id=90423&key=user_uploads/222992/1623d16f-4789-4793-892f-2c7adffc84a7)\n\n**End-to-end comms system validation often doesn’t happen**\n\nFully integrated testing between the spacecraft and ground terminal is typically cost prohibitive. Instead, engineers compare spec sheets and email configurations to the ground operators, and hope it works in flight (spoiler alert: it often doesn’t). It is routine for spacecraft to fly having never done an end-to-end test of their system with ground terminal representative hardware. The whole process is subject to human error from end to end. \n\n**This approach to space communications does not scale**\n\nCommercial space ventures beyond low earth orbit have already pushed existing infrastructure to its breaking point, and demand for deep space comms support is expected to grow exponentially over the next decade. We will not have a spacefaring future for humanity until communications for spacecraft become as easy as signing up for cable internet. \n\n**We are redefining the process, starting with spacecraft design**\n\nBetter comms starts at the beginning, in the early trade study and design phase. We are replacing industry-standard spreadsheets with a modern software tool that lets you see how your system will perform with our ground network in real time.\n\n![uploaded image](/media/?type=post&id=90423&key=user_uploads/222992/4873c5a0-9288-48fe-8d2e-a3a32f3fcad0)\n\n**Test as you fly, fly as you test**\n\nYou don’t rise to the level of your expectations, you fall to the level of your testing. We ship you a “ground station in a box,” identical to hardware we’ve installed at the ground stations you will be using, and provide you with a test plan that you can use to test your entire system end to end, with both the space vehicle and the ground terminal in the loop. \n\n**Launch with confidence**\n\nFly and operate your spacecraft. Use our API to schedule passes on our network, track your spacecraft, stream data, monitor the ground site, and access recordings.\n\n![uploaded image](/media/?type=post&id=90423&key=user_uploads/222992/2b01ca98-b6d7-4f8b-9af5-5b93b0613ef0)\n\n**We are rolling out our preliminary network rapidly**\n\nWe start by partnering with owners of dishes that are currently unused for any other telemetry applications. This allows us to build out the product and acquire customers with a minimal amount of capital. As we build out the network, we will further expand our network by strategically building our own ground stations in key locations. Our first downlink only ground stations are expected to come online in 2025, with more to follow in 2026.\n\n**We are passionate about your mission success**\n\n[Jacob](https://bookface.ycombinator.com/company/30556) and [Arlen](https://bookface.ycombinator.com/user/2222230) have solved many of these exact problems at company level scales in previous roles. Jacob was RF system architect at SpaceX and Arlen has built complex hardware/software systems his entire career. Collectively they have spent hundreds of hours in mission control, many of those hours dealing with anomalies and outright failures. They are both passionate about building the culture of excellence at Cascade that is required for flawless mission execution.\n\n**If you are struggling with comms for your upcoming mission, drop us a line. We can help.**\n\nhttps://cascade.space/", "url": "https://www.ycombinator.com/launches/NWR-cascade-space-deep-space-communications-as-a-service", "votes": 84, "created_at": "2025-05-15T14:54:19.097Z" } ] }, { "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% - 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Founded one of the first non-custodial stablecoin wallet companies, raising over 7M from Galaxy, Arrington, and more. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/cody-swain-89b621118", "x_url": "https://twitter.com/c0dyswain", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/855ed46a1e8d5126a926f64fdab426a0f3951bc7.jpg" }, { "user_id": 2757584, "full_name": "John Newsom", "title": "Founder/CTO", "founder_bio": "Led the self-driving team at Parallel Systems and worked as a researcher at BAIR focused on robotics, world models, and large language models.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/newsom/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/207f87cc2aee7875ffde47a2f3f9baf29b041432.jpg" } ], "jobs": [ { "id": 99768, "title": "Mechatronics Engineer", "url": "https://www.ycombinator.com/companies/parametric/jobs/tGNHtH7-mechatronics-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$125K - $200K", "equity_range": "0.05% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104827, "title": "Mechatronics Engineer, Intern (Fall/Winter '26)", "url": "https://www.ycombinator.com/companies/parametric/jobs/xnrysgJ-mechatronics-engineer-intern-fall-winter-26", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Hardware", "salary_range": "$6K - $10K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95425, "title": "Parametric: RL for Robotics", "tagline": "Robots that learn from customer feedback", "body": "**TL;DR**\n\nExisting robots learn generic averages from massive datasets. Our robots learn from customer feedback.\n\nWe solve the RL feedback loop for robotics, allowing our robots to learn from _your_ specific standards via an automated reward pipeline that combines customer feedback with an intelligent judge model. This is the only way to capture the multi-trillion dollar “long tail” of unique, high-aggregate-value business tasks. \n\nWe’re live with real customers today and aggressively improving model performance. Our team led autonomy at Parallel Systems (series B startup; 100M raised) and scaled AI revenue for Facebook’s recommendation systems.\n\nhttps://youtu.be/EhiYJT52EJY\n\n**The Problem**\n\nThe real market for general purpose robotics is a multi-trillion dollar **“long tail” of differentiated tasks.** This is the market that traditional automation can’t touch. The core technology to solve this is _finally_ viable, but the long tail means the only path to success is adaptation to millions of specific customers' needs. \n\nWe’ve spoken to countless customers. No one has ever asked for a human form factor. They demand three things: **reliability, throughput, and control**. They want boxes packed in a specific order or towels folded lengthwise twice. Traditional learning algorithms don’t give this customer specificity.\n\nWhen you work backwards from these _actual_ customer requirements it becomes clear that we’re missing the bridge between customer feedback and model improvement.\n\n**Our Approach**\n\nWe build **robots** that learn from customer feedback and improve continuously. \n\n1. Adaptive Intelligence: At its core, an automated pipeline that combines customer feedback with a judge model to RL fine-tune a model and steer it towards positive behaviors, as defined by customers.\n2. Pragmatic Hardware: A mobile robot with a wheeled base and bimanual arms. Designed for long uptime and high throughput.\n\n \n\nOur models can learn new behaviors on-site with less than an hour of data, delivering low cost, effective automation immediately. \n\nIf you’d like to learn more, please reach out to us: [hello@parametric.company](mailto:hello@parametric.company).\n\n![uploaded image](/media/?type=post&id=95425&key=user_uploads/2757584/514106c9-df57-4f4e-aff8-de58700525d3)\n\n", "url": "https://www.ycombinator.com/launches/Op7-parametric-rl-for-robotics", "votes": 13, "created_at": "2025-11-12T07:26:05.335Z" } ] }, { "id": 30624, "name": "Verne Robotics", "slug": "verne-robotics", "former_names": [ "Verne Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d892cc07af7461203238df538f63d3eafe2a9635.png", "website": "https://vernerobotics.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Verne builds general‑purpose physical AI. We deploy robots to expand the productive capacity of the physical world.", "one_liner": "AI models that teach robots new skills in hours", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1753480338, "tags": [], "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": null, "url": "https://www.ycombinator.com/companies/verne-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/verne-robotics.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vernerobotics", "x_url": "https://x.com/VerneRobotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d892cc07af7461203238df538f63d3eafe2a9635.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 1318663, "full_name": "Neil Nie", "title": "Founder", "founder_bio": "Co-founder and CEO of Verne Robotics (S25)", "is_active": true, "linkedin_url": "https://linkedin.com/in/neilnie", "x_url": "https://x.com/neil_nie_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8ab4e9b2aa4d380206db2c606decb90832fbea8.jpg" }, { "user_id": 415610, "full_name": "Aditya Jha", "title": "Founder", "founder_bio": "Co-founder and COO of Verne Robotics (S25)\n\nPreviously: Cornell, Microsoft, writing poetry, running marathons", "is_active": true, "linkedin_url": "https://linkedin.com/in/adityajha21", "x_url": "https://x.com/nolitadrip", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cae950772b5b655d45ad62650c6cf787e0c2ee99.jpg" } ], "jobs": [ { "id": 85597, "title": "Robotics Operator ", "url": "https://www.ycombinator.com/companies/verne-robotics/jobs/7LFahea-robotics-operator", "location": "San Francisco, CA, US", "type": "Contract", "role": "Operations", "role_type": null, "salary_range": "$20 - $30 / hourly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 86696, "title": "Robotics Data Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/verne-robotics/jobs/9SnPqFO-robotics-data-infrastructure-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$110K - $175K", "equity_range": "0.50% - 1.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python" ] } ], "news": [], "launches": [ { "id": 92471, "title": "Verne Robotics: Robot Arms that Learn New Skills in Hours", "tagline": "The Robots of the Future, Arriving Today", "body": "**TL;DR:** We’ve developed the SOTA model for controlling robot arms, allowing our arms to learn new skills in hours instead of weeks. This enables rapid deployment and a unique business model where we can let companies pay by-the-hour, instead of requiring massive capex. We already have a biotech unicorn using our robots in production to package delicate chemical vials.\n\nhttps://www.youtube.com/watch?v=WHzjweFnbkk&feature=youtu.be\n\n# **The Problem: Robots are difficult to deploy & have fixed workflows**\n\nTraditional robot arms often require months of custom engineering and planning to integrate. These bulky, rigid, and expensive systems take up substantial floor space and are hard-coded for a single workflow. Adapting to new tasks means weeks of downtime and reprogramming. As a result, companies often default to increasing headcount to keep up with demand.\n\n![uploaded image](/media/?type=post&id=92471&key=user_uploads/1318663/7be314c8-ffa9-46e3-82cf-34b72e78c2cd)\n\n# **What we do: Drop-in autonomous robot arms that deploy in days**\n\nOur first product – Nemo3 – is a bimanual robot that can handle objects within a 2.5-foot radius, supports payloads up to 4 lbs, and can be mounted flexibly in various environments. Unlike traditional robot arms, Nemo3 rapidly learns new tasks and adapts to changing conditions on the fly. Our AI decomposes 30 minutes of tele-operation data into skills and uses diffusion models to learn each skill. The result is fast and robust automation for our customers. \n\nAs one of our customers put it: “What surprised me most was how fast you set it up. After one weekend it was set up.” It took us just 4 days to get the robot deployed at ABClonal - from unpacking the robot to automating the vial packing task.\n\n# **Who needs this**\n\nOur robots excel at dexterous manipulation tasks. Here are a few industries we can help:\n\n* DTC Meal Kits: Speed up meal kit assembly with automated packing. \n* Consumer Packaged Goods: Automate kitting to create variety packs with mixed SKUs. \n* Warehouses/Logistics: Sort parcels and pack irregular items faster and at lower cost.\n* Biotech: No more manual clean room disinfection or glovebox work\n\n![uploaded image](/media/?type=post&id=92471&key=user_uploads/1318663/13eac3c1-2454-494a-9bcc-85819cd28f34)\n\n# **Our Ask**\n\nDo you know any manufacturers, distributors, or logistics companies burning time & money on repetitive manual tasks? Maybe they’ve tried other solutions and think it’s impossible to automate?\n\nReach us at: [founders@vernerobotics.com](mailto:founders@vernerobotics.com)\n\nBook a time: https://cal.com/vernerobotics/30min\n\n# **The Team**\n\nNeil is a leading robot learning researcher from Columbia and Stanford. At Columbia he was advised by Prof. Shuran Song and at Stanford he was advised by Prof. Jiajun Wu, as part of the Vision & Learning Lab led by Prof. Fei-Fei Li. Neil holds two patents on multi-modal perception from his time at Apple, where he helped build the Apple Vision Pro. Neil left his PhD at Berkeley to start Verne Robotics.\n\nAditya led Azure Copilot from private preview to GA Launch on Microsoft’s product team. He graduated Phi Betta Kappa from Cornell University. \n\n🤝 We met in high school tinkering with robots and now our mission is giving every company access to automation.\n\n![uploaded image](/media/?type=post&id=92471&key=user_uploads/1318663/d410a5f6-dcca-419e-a884-8b09536ae157)\n\n", "url": "https://www.ycombinator.com/launches/O3T-verne-robotics-robot-arms-that-learn-new-skills-in-hours", "votes": 87, "created_at": "2025-07-26T14:02:02.689Z" } ] }, { "id": 30631, "name": "Null Labs", "slug": "null-labs", "former_names": [ "Corvus Defense" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5c6d34be502792f6dd14717502e2286fd5399a8b.png", "website": "https://n0labs.com", "all_locations": "San Francisco, CA, USA", "long_description": "We provide defense companies with simulation infrastructure to train and validate autonomous systems.\r\n", "one_liner": "End-to-end Simulation for Defense Autonomy", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1763086396, "tags": [ "Robotics", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/null-labs", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/null-labs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/n0lab", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5c6d34be502792f6dd14717502e2286fd5399a8b.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": 1742187, "full_name": "Kristopher Luo", "title": "Founder/CEO", "founder_bio": "Previously Stanford EE and CS. Conducted research in the nanofabrication lab, and worked in industry on automating vision to action pipelines for agriculture robotics. Also deployed neural networks on edge including a patented system for child heat protection in vehicles. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/krisluo", "x_url": "https://x.com/theKrisLuo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d15a85b53b352a41a9b96f6c123f78754ef02ca6.jpg" }, { "user_id": 1959092, "full_name": "Niel Ok", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at Null Labs. Previously led infrastructure at a DeepMind spinout working on automating AI research and studied EE and did neuroscience theory research at Stanford. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/niel-ok/", "x_url": "https://x.com/nielok20", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a9410ed47494d188fbca6cc705e1d684e8dd53f7.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30635, "name": "Galactic Resource Utilization Space, Inc. (GRU Space)", "slug": "galactic-resource-utilization-space-inc-gru-space", "former_names": [ "Galactic Resource Utilization Space, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee5f921620382e78c7f4ce4082b655aed675702d.png", "website": "https://gru.space", "all_locations": "Los Angeles, CA, USA", "long_description": "GRU Space is building permanent lunar infrastructure to make humanity interplanetary within our lifetime, starting with the first hotel on the Moon. In just 6 weeks, we built the world's first Moon factory: patent-pending hardware that turns lunar regolith into bricks and inflates modular pressurized habitats designed to withstand lunar temperature and pressure extremes. \r\n\r\nOur first mission lands on the Moon in 2027 to demonstrate in-situ brick manufacturing and habitat deployment. A second mission lays the hotel's foundation inside a lunar cave, and a third opens the first lunar hotel, targeted for 2032. \r\n\r\nWe don’t stop at Moon hotels. GRU’s long-term plan:\r\n\r\n1. Build the first hotel on the Moon. GRU solves off‑world surface habitation.\r\n2. Become the Moon Base Company of America: build roads, mass drivers, warehouses, and physical infrastructure.\r\n3. Repeat on Mars and build the first cities there.\r\n4. Own property on the Moon and Mars as these economies grow.\r\n5. Reinvest profits into resource utilization systems on the Moon, Mars, asteroids, and beyond—reaching our final form: Galactic Resource Utilization.\r\n\r\nGRU Space is backed by investors in SpaceX and Anduril, is part of Nvidia's Inception program, and our launch generated 1B+ views across 60+ countries, earning invitations to the White House, Senate, and Pentagon. ", "one_liner": "Moon Hotel -> The Intergalactic Construction Company of Earth", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1767740329, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "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": null, "url": "https://www.ycombinator.com/companies/galactic-resource-utilization-space-inc-gru-space", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/galactic-resource-utilization-space-inc-gru-space.json", "year_founded": 2025, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/galactic-resource-utilization-space-inc/?viewAsMember=true", "x_url": "https://x.com/gru_space", "fb_url": "https://www.facebook.com/profile.php?id=61585803737914", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee5f921620382e78c7f4ce4082b655aed675702d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5f84bbc2183186e3d75bce0f37e88bd4a11fcba1.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1068741, "full_name": "Skyler Chan", "title": "Founder/CEO", "founder_bio": "Skyler (Founder & CEO) graduated early from Berkeley EECS to make humanity interplanetary in our lifetime. Previously, Skyler built vehicle software @ Tesla, built a NASA funded 3D-printer launched into space, and authored at the world’s largest space conference. Air Force-trained pilot at 16, aspiring astronaut since 3. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/skylerchan03/", "x_url": "https://x.com/skyler_chan_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/446aef4d9bdfe6ec7e7953c4475e3553929d60eb.jpg" } ], "jobs": [ { "id": 92566, "title": "Mechanical Engineer", "url": "https://www.ycombinator.com/companies/galactic-resource-utilization-space-inc-gru-space/jobs/BPAqbIe-mechanical-engineer", "location": "Hawthorne, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$120K - $170K", "equity_range": "0.25% - 0.75%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "CAD Design" ] }, { "id": 92567, "title": "Founding Lunar Avionics / Electronics Engineer", "url": "https://www.ycombinator.com/companies/galactic-resource-utilization-space-inc-gru-space/jobs/XwpIv3E-founding-lunar-avionics-electronics-engineer", "location": "Hawthorne, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$125 - $175", "equity_range": "0.25% - 0.75%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "C", "C++" ] }, { "id": 92568, "title": "Thermal / Structures Engineer", "url": "https://www.ycombinator.com/companies/galactic-resource-utilization-space-inc-gru-space/jobs/zibQKVl-thermal-structures-engineer", "location": "Hawthorne, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$120 - $170", "equity_range": "0.25% - 0.75%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "This company is taking $1 million reservations for hotel rooms on the moon | Space", "url": "https://www.space.com/astronomy/moon/this-company-is-taking-usd1-million-reservations-for-hotel-rooms-on-the-moon", "date": "Jan 13, 2026" }, { "title": "Want to vacation on the moon? GRU Space opens $1M reservations | ChicagoLIVE | FOX 32 Chicago", "url": "https://www.fox32chicago.com/video/fmc-yuavqe6lzh3pa4pq", "date": "Jan 13, 2026" }, { "title": "GRU Space Opens Bookings for Planned Lunar Hotel", "url": "https://payloadspace.com/gru-space-opens-bookings-for-planned-lunar-hotel/", "date": "Jan 12, 2026" }, { "title": "This 22-year-old founder is building the world's first hotel on the Moon", "url": "https://www.founded.com/meet-the-22-year-old-founder-building-the-worlds-first-hotel-on-the-moon/", "date": "Jan 12, 2026" }, { "title": "You can now reserve a hotel room on the Moon for $250,000 - Ars Technica", "url": "https://arstechnica.com/space/2026/01/you-can-now-reserve-a-hotel-room-on-the-moon-for-250000/", "date": "Jan 12, 2026" } ], "launches": [ { "id": 98679, "title": "GRU Space - The Moon Factory", "tagline": "GRU's Moon Factory will build the world's first bricks on the Moon & permanent lunar infrastructure.", "body": "In just 6 weeks, GRU Space built the world’s first [Moon Factory](https://youtu.be/k9X7TuAxNrw) for under $5,000. GRU’s patent-pending prototype autonomously: \n\n• mines lunar soil (regolith)
 \n\n• refines it using a geopolymer process
 \n\n• turns it into structural bricks to build lunar infrastructure GRU has also built a patent-pending modular inflatable habitat designed to withstand the temperature and pressure extremes on the Moon. \n\nCombining with the Moon Factory, it forms the basis of the first lunar hotel, Moon base, and ultimately, permanent lunar infrastructure. \n\nBefore GRU, lunar habitats can only be built on Earth. At hundreds of thousands of dollars per kilogram, that makes large-scale lunar bases nearly impossible. \n\nHumanity has not built a product on the Moon yet. At GRU, we are changing that. \n\nAs early as next year, GRU will land a small-scale version of their factory & inflatable on the Moon. \n\nHumanity cannot become interplanetary until we solve off-world surface habitation. Once solved, it will become the Promethean moment that will enable billions of human lives to be born on the Moon and Mars.", "url": "https://www.ycombinator.com/launches/Pfb-gru-space-the-moon-factory", "votes": 21, "created_at": "2026-03-10T22:44:10.081Z" }, { "id": 96700, "title": "GRU Space: First Hotel on the Moon - Applications Open 🌕", "tagline": "Building the First Hotel on the Moon", "body": "**TL;DR: You can now book a Hotel on the Moon for 2032.**\n\nGRU Space (YC W26) is building off-world habitats starting with a hotel on the Moon. Learn more in this [video](https://youtu.be/GOwUlkNw8eg) and apply to stay at [gru.space/reserve](https://gru.space/reserve)\n\n**🌕 About GRU**\n\nGRU develops in-situ resource utilization technology, transforming local lunar material into durable building structures. The first habitat is a lunar hotel for space tourists, targeting opening in 2032. From there, GRU aims to lay the foundation for America’s Moon base, future Mars cities, and a truly interplanetary civilization. **More in our [Whitepaper](https://gru.space/wp).**\n\n⚙️ **The GRU Team**\n\nHey, I’m [Skyler](https://www.linkedin.com/in/skylerchan03/), founder of GRU Space. I’ve wanted to fly to space since I was 3, and was an Air Force trained pilot at 16. Realized building technology to enable everyone to go to space felt more meaningful than just enabling myself to go to space, I dove into hardware and software and started my undergrad at Berkeley EECS. I worked on vehicle software at Tesla, built a NASA funded 3D printer that launched into space aboard Virgin Galactic, and authored at the world’s largest space conference (IAC 2025). GRU’s growing early team consists of former Ethos Space CTO and Colorado School of Mines professor Dr. Kevin Cannon (first founding Member of Technical Staff) and Dr. Robert Lillis (Advisor) who was the Principal Investigator of the latest NASA Mars mission that launched on Blue Origin’s New Glenn, [**ESCAPADE**](https://science.nasa.gov/blogs/escapade/2026/01/07/nasas-escapade-spacecraft-completes-trajectory-maneuver/).\n\n**⭐ GRU’s path to a Trillion Dollar Company:**\n\nWe don’t stop at Moon hotels. GRU’s Master Plan:\n\n1\\. Build the first hotel on the Moon. GRU solves off‑world surface habitation.\n\n2\\. Build America’s first Moon base: roads, mass drivers, warehouses, and physical infrastructure.\n\n3\\. Repeat on Mars and build the first cities there.\n\n4\\. Own property on the Moon and Mars as these economies grow.\n\n5\\. Reinvest profits into resource utilization systems on the Moon, Mars, asteroids, and beyond—reaching our final form: Galactic Resource Utilization.\n\nThe next trillion-dollar company will be in human infrastructure: building the first cities on the Moon, Mars, and beyond. If we succeed, we will enable billions of human lives to be born.\n\n✅ **Asks:**\n\n1. **Apply to stay on the Moon at** [gru.space/reserve](https://gru.space/reserve).\n2. **Government intros**: we need your help to make GRU the ones to build America’s Moon base.\n3. **Enterprise intros:** companies that want to be the first brand in their field on the Moon. Think F1 sponsors, but on the Moon.\n4. **Change the world.** ", "url": "https://www.ycombinator.com/launches/P9g-gru-space-first-hotel-on-the-moon-applications-open", "votes": 122, "created_at": "2026-01-12T13:39:30.212Z" } ] }, { "id": 30662, "name": "DeepAware AI (Robotics Center of Silicon Valley)", "slug": "deepaware-ai-robotics-center-of-silicon-valley", "former_names": [ "DeepAware AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b55e7c4492211c3d35247562da291230d55e6cdb.png", "website": "https://roboticscenter.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "DeepAware (Robotics Center of Silicon Valley, https://roboticscenter.ai/) is the fastest way for enterprises and researchers to get robots and robotics parts in the US — 72-hour delivery or Bay Area pickup.\r\n\r\nBeyond hardware, we help teams collect teleoperation data, build reinforcement learning environments, and deploy robots into production. Customers include AI labs, industrial operations, research teams, and event producers.", "one_liner": "Robots, parts & RL envs & evals - delivered in 48 hrs / pickup in SF.", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1753029704, "tags": [ "Machine Learning", "Robotics", "Supply Chain", "Data Engineering", "AI" ], "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", "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/deepaware-ai-robotics-center-of-silicon-valley", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/deepaware-ai-robotics-center-of-silicon-valley.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/roboticscenter/", "x_url": "https://x.com/RoboticsCtr", "fb_url": "https://www.facebook.com/roboticscenterai", "cb_url": "https://www.crunchbase.com/organization/deepaware-ai", "github_url": "https://github.com/roboticscenter", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b55e7c4492211c3d35247562da291230d55e6cdb.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": 2760576, "full_name": "Jerry Huang", "title": "Founder/CEO", "founder_bio": "Building Robotics Center of Silicon Valley https://roboticscenter.ai/", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jerryh01/", "x_url": "https://x.com/jerryhuang01", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1a1c665b9491d7b3b0b21fc7085627a6859b1b85.jpg" }, { "user_id": 2786524, "full_name": "Stela Tong", "title": "Founder/CTO", "founder_bio": "Building DeepAware AI", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stela-tong-a2583110b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eec06f27921ccffb2a5407cb05d034193102259a.jpg" } ], "jobs": [ { "id": 79914, "title": "Business Development Associate ", "url": "https://www.ycombinator.com/companies/deepaware-ai-robotics-center-of-silicon-valley/jobs/Oz49Id3-business-development-associate", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$50K - $100K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 79915, "title": "Robotics Engineer", "url": "https://www.ycombinator.com/companies/deepaware-ai-robotics-center-of-silicon-valley/jobs/2PyKMig-robotics-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$80K - $180K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 99767, "title": "Operations Associate", "url": "https://www.ycombinator.com/companies/deepaware-ai-robotics-center-of-silicon-valley/jobs/iyyRVWT-operations-associate", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$50K - $100K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 100904, "title": "Business Development Intern", "url": "https://www.ycombinator.com/companies/deepaware-ai-robotics-center-of-silicon-valley/jobs/a9Gr7BR-business-development-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": null, "visa": "Will sponsor", "skills": [] }, { "id": 100905, "title": "Robotics Engineer Intern", "url": "https://www.ycombinator.com/companies/deepaware-ai-robotics-center-of-silicon-valley/jobs/extm5EN-robotics-engineer-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Robotics", "salary_range": "", "equity_range": "", "experience": null, "visa": "Will sponsor", "skills": [] }, { "id": 100906, "title": "Operations Intern", "url": "https://www.ycombinator.com/companies/deepaware-ai-robotics-center-of-silicon-valley/jobs/o5YcLop-operations-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": null, "visa": "Will sponsor", "skills": [] }, { "id": 102117, "title": "Marketing Intern", "url": "https://www.ycombinator.com/companies/deepaware-ai-robotics-center-of-silicon-valley/jobs/PHQdrZy-marketing-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "", "equity_range": "", "experience": null, "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 92985, "title": "DeepAware - Automation for next-gen AI data centers", "tagline": "AI-driven automation that makes any data center as secure, efficient, and adaptive as Google’s or Amazon’s.", "body": "## **DeepAware - Automation for next-gen AI data centers**\n\n👋 Hello world! Are you ready to embrace a much more efficient AI infrastructure? Check out [DeepAware](http://deepawareai.com/) / [LinkedIn](https://www.linkedin.com/company/deepaware/):\n\nhttps://youtu.be/mywozPhOAnA\n\nTL;DR\n\n1. DeepAware AI brings Google- and Amazon-level technology to any data center, making them more secure, efficient, and autonomous.\n2. Our reinforcement learning scheduler, real-time market integration, and robotics cut energy waste by up to 30% while ensuring 24/7 uptime.\n\n![uploaded image](/media/?type=post&id=92985&key=user_uploads/2760576/4188b3ad-71bd-4af7-a52d-eac733f67211)\n\n**Problem**\n\n1. With AI workloads surging, the data center industry is booming—global capacity is expanding rapidly, and the market is projected to hit **$1 trillion by 2030**\n2. Data centers waste 20–30% of energy due to siloed tooling and manual controls.\n3. Hyperscalers like Google and Amazon solve this with custom AI, but mid-market operators lack access to those technologies.\n\n![uploaded image](/media/?type=post&id=92985&key=user_uploads/2760576/c08c6a9b-22d9-4ffa-830a-c828ce7597a5)\n\n**Solution**\\\nDeepAware brings Google- and Amazon-grade AI controls to any data center:\n\n1. **RL Scheduler** optimizes GPU workload placement for power, performance, and cost.\n2. **Real-Time Market Integration** shifts workloads to low-price windows and supports demand-response programs.\n3. **Unified Dashboard** for one-click policy tuning, automated alerts, and “what-if” scenario testing.\n4. **Autonomous Robotics (coming soon)** for remote “robot hand” inspections, cable swaps, and maintenance—enabling 24/7 physical operations with minimal on-site staff.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeWFdq7APkR0uqewAgWtXeKANKr7EDV1KIz0diikWoGKDlTmA6bqIP_-8vNP0V4Fp9d0il-oEnk8u4uCkO_usPJd4xVHtCOifCEAgMO4muD-Dh7s_sFDGyNnR8YeClKD71vLBoOeA?key=Ok6o8HSu--upaY5wBSe41Q)\n\n**Our Team:** \n\n1. We are both second-time founders. We spent 3 years together building our first company providing second-level energy optimization for dozens of factory.\n\n**Traction:**\n\n1. **6-digit agreement** with a major 30 MW+ data center operator to use our system.\n2. **Simulation results** show 15% energy savings.\n3. **Industry validated** through Green AI Summits at Harvard with industry leaders from Oracle and Meta AI.\n\n**Ask:\\\nWe’re looking for:**\n\n1. **Data center operators** (and people in the AI infra sector) interested in piloting AI-driven optimization.\n2. **AI/ML researchers** tackling real-world control problems.\n\nGot feedback or want to pilot? Reach out: 👉 [jerry@deepawareai.com](mailto:jerry@deepawareai.com) or [LinkedIn](https://www.linkedin.com/in/jerryh01/) visit http://deepawareai.com/.\n\n![uploaded image](/media/?type=post&id=92985&key=user_uploads/2760576/03fe5788-d736-48c7-83f3-98bf11b31fca)\n\n", "url": "https://www.ycombinator.com/launches/OBl-deepaware-automation-for-next-gen-ai-data-centers", "votes": 15, "created_at": "2025-08-14T01:42:09.062Z" } ] }, { "id": 30673, "name": "Nexa Labs", "slug": "nexa-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/489fd97ad45ee1d6d874c7a99792bf1552ebddc2.png", "website": "https://nexa.farm/", "all_locations": "San Francisco, CA, USA", "long_description": "Nexa is developing the solution for cattle monitoring, leveraging implantable microchips that collect more comprehensive biometrics than anything else on the market. Our accompanying AI-driven animal health engine empowers farmers with early disease detection, reproductive insights, GPS tracking, and more. \r\n\r\nWe're saving farmers time and money while collecting the world's largest cattle health dataset. We believe that cattle farming should be a science, not an art - this will secure the world's food supply and increase economic output that billions of people depend on.", "one_liner": "Implantable microchips and AI for cattle monitoring", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Agriculture", "launched_at": 1755009056, "tags": [ "Livestock Health", "Medical Devices", "Agriculture", "AI", "Biotechnology" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Acquired", "industries": [ "Industrials", "Agriculture" ], "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 all met as undergrads at Caltech. Before becoming co-founders, we became close friends. We are brought together by a shared desire to build technology that impacts real people in America and beyond." } ], "url": "https://www.ycombinator.com/companies/nexa-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/nexa-labs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nexafarm", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/489fd97ad45ee1d6d874c7a99792bf1552ebddc2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/2300cc908a88477ba3d0333b549e0c55584ccdfd.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 2198327, "full_name": "Zarif Azher", "title": "Founder/CEO", "founder_bio": "Previously built medical devices, biosensors, and AI for healthcare. Now building microchips for cattle monitoring! ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zarif-azher-260b401bb/", "x_url": "https://x.com/ZarifAzher", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8780345b330950408619a690b45f87e77adcd24c.jpg" }, { "user_id": 2852618, "full_name": "Kenneth Chan", "title": "Founder", "founder_bio": "Prev @ Caltech. Now building the future of livestock health monitoring.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kenneth-chan-340a6032a", "x_url": "https://x.com/kennychan256", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/49841de0f9346c82b1774acbb96c5444b2460071.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92930, "title": "Nexa Labs: Implantable Microchips for Cattle Monitoring", "tagline": "We empower cattle farmers with early disease detection and reproductive insights.", "body": "**TLDR:** Nexa builds implantable “FitBits” + AI for cattle monitoring. We empower farmers with early disease detection and reproductive insights that save them time and money.\n\nhttps://youtu.be/goioQTngpSU\n\n**Problem**\n\nEfficiently monitoring cattle health and reproduction is critical to maintain farm profitability. But the traditional practice of manually inspecting animals doesn’t scale - labor costs add up, while farms miss disease outbreaks and breeding cycles. Disease alone causes \\~$100 billion in losses yearly for cattle farms globally.\n\nExisting tech for monitoring cattle includes external wearables like collars and ear-tags. Being outside thick cattle skin, these can’t accurately track useful biometrics beyond “activity” (a glorified step-count). There’s also boluses, pill-shaped devices that sit in the cow stomach. But these are super expensive, have short battery life, and can’t be used for beef cattle.\n\n**Solution**\n\nNexa is building implantable microchips that go underneath the skin in the ear of cattle. We analyze vital biometrics - like temperature, heart rate, blood oxygen, activity, GPS location, and more - that other systems miss, to empower farmers with early disease detection and reproductive insights. And because our electronics operate at millimeter scale, we benefit from low production costs and pricing up to 70% cheaper than current solutions.\n\nOur hardware also enables collection of the world’s largest cattle health dataset - so, we can develop foundation models that can unlock new possibilities in farm management and livestock pharma. \n\nWe’re currently launching our dairy pilot program - if you know any dairy farmers based in the USA, please send them our way at [admin@nexa.farm](mailto:admin@nexa.farm) :)\n\n**About Us**\n\nWe’re a team of Caltech dropouts with backgrounds in bioengineering, electrical engineering, CS, math, and physics. We want to build technology that makes a tangible impact on the lives of real people in America and beyond.  \n\n![uploaded image](/media/?type=post&id=92930&key=user_uploads/89898/0ae16cce-d4d4-40c1-b80d-7079d433d8e6)\n\n", "url": "https://www.ycombinator.com/launches/OAs-nexa-labs-implantable-microchips-for-cattle-monitoring", "votes": 24, "created_at": "2025-08-12T15:36:19.597Z" } ] }, { "id": 30690, "name": "Flai", "slug": "flai", "former_names": [ "FLAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6dac83b2368a92474bd578939ebe5277cac40f91.png", "website": "https://www.useflai.com/", "all_locations": "San Francisco, CA, USA", "long_description": "The problem we solve: 56% of dealership leads arrive after business hours, and most dealers lose these potential customers to competitors who happen to be available 24/7. Missing after-hours calls alone costs the average dealership $1M annually in lost revenue.\r\n\r\nWe built Flai to fix this - AI assistants that answer dealership calls 24/7, scheduling test drives, oil changes, or running outbound recall campaigns so no opportunity slips away.\r\n\r\nThe result: No more missed opportunities, no more losing customers to competitors.\r\n\r\nOur founding team has built voice AI products at HappyRobot, scaled infrastructure at Uber for millions of users, and applied data science at Netflix to solve operational challenges.\r\n\r\nWe're not just answering phones, we're helping dealerships win in an AI-first world where availability determine who gets the sale.", "one_liner": "We Bring Customers to Your Dealership", "team_size": 40, "industry": "Industrials", "subindustry": "Industrials -> Automotive", "launched_at": 1751567522, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "Industrials", "Automotive" ], "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/flai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/flai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/useflai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6dac83b2368a92474bd578939ebe5277cac40f91.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8dca69e744e35a1405af75de5f6e885f0636b7ff.png" ], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 1487307, "full_name": "Ari Polakof", "title": "Founder", "founder_bio": "Co-founder and CEO of Flai. Previously Founding Engineer at Happyrobot (S23).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ari-polakof-78b976150/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ccdba3ce90f934842405a3d91a700ac4b81d7b18.jpg" }, { "user_id": 1587100, "full_name": "Juan Alzugaray", "title": "Founder", "founder_bio": "Co-founder and COO of Flai. Previously data science at Netflix.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jfalzugaray/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bf5c7c0dcef27ecf5ed74d3424af235aba444092.jpg" }, { "user_id": 2737449, "full_name": "Alen Polakof", "title": "Founder", "founder_bio": "Founder and CTO of Flai. Previous Founding Engineer at HappyRobot (S23), and Infrastructure at Uber 4+ years.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alenpolakof", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9a73bf64aa93956ba04ea148a6d2a4e21fad8500.jpg" } ], "jobs": [ { "id": 84095, "title": "Regional Account Executive", "url": "https://www.ycombinator.com/companies/flai/jobs/qCddsM1-regional-account-executive", "location": "Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Flai is the latest startup bringing AI to car dealerships | TechCrunch", "url": "https://techcrunch.com/2025/10/03/flai-is-the-latest-startup-bringing-ai-to-car-dealerships/", "date": "Oct 03, 2025" } ], "launches": [ { "id": 92327, "title": "Flai — We Bring Customers to Your Auto Dealership", "tagline": "We answer the phone 24/7 and manage critical outbound communications, helping auto dealerships turn more leads into booked on-site visits.", "body": "**Contact:** [founders@useflai.com](mailto:founders@useflai.com)\n\n**TL;DR**\n\n✅ **24/7 AI assistant** that books test drives & service appointments in seconds\\\n✅ **Smart outbound AI assistant** that handles recalls and appointment reminders\\\n✅ **Plug-and-play integrations** with dealer DMS/CRM; live in stores today\n\nhttps://www.youtube.com/watch?v=xO1TXqmllIQ\n\n❌ **The Problem**\n\nDealerships are trapped in a never-ending cycle that bleeds revenue:\n\n* **60% of dealership leads arrive after business hours** and most dealers can't answer\n* **70% who hit voicemail contact a competitor within 30 minutes**, losing the sale\n* **Each store loses $1M annually** from those missed calls alone\n* **Staffed coverage is costly, inconsistent, and impossible to scale**\n\n✨ **Our Solution**\n\nFlai's Dealership-Tailored AI Assistants gives every dealership a tireless voice agent with three core capabilities:\n\n* **Always-On Coverage:** Our AI agents answer or dial every single customer 24/7, so no inquiry or follow-up slips through the cracks\n* **Multi-Channel Communications:** Calls, SMS, and email work together to book test-drives, service slots, and recall visits the moment customers are ready\n* **Dealer-Ready & Secure:** Fast DMS/CRM integration, full call logs, and SOC 2 Type II compliance, built for automotive retail from day one\n\nDealers switch it on in an afternoon and instantly reach **100% call coverage** with zero wait time.\n\n🛠️ **Why Now?**\n\nThe pain and the cure have finally converged.\n\n* **There's a phone-lead crisis unfolding:** 50% of inbound calls never reach a rep, and dealerships leak $1M+ annually from poor phone coverage\n* **Multiple breakthroughs in voice AI:** Agents have reached human-level fluency this year. The technology is finally ready\n\n👥 **Backstory & Team**\n\nAri waited for 30min on hold while booking a service appointment and the idea clicked: unanswered phones are bleeding dealerships dry. That same weekend we dropped in on ten dealerships, got our initial prospect (which we signed a few days later), and decided then and there to solve it.\n\n**Ari Polakof (CEO)** – Second engineer at Happyrobot (YC S23)\\\n**Alen Polakof (CTO)** – 4 years infra at Uber; knows how to keep systems up at scale\\\n**Juan Alzugaray (COO)** – ex-Netflix data scientist who turns ops pain into product\n\n🙌 **Our Ask**\n\n**Intros to people in the car dealership industry**, we'd love to chat ([founders@useflai.com](mailto:founders@useflai.com))", "url": "https://www.ycombinator.com/launches/O19-flai-we-bring-customers-to-your-auto-dealership", "votes": 38, "created_at": "2025-07-21T16:48:36.212Z" } ] }, { "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": 30703, "name": "Physical Turing", "slug": "physical-turing", "former_names": [ "Riff", "GoRiff" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c87367cd52d809c0b9a6f05ef79f3c162b4dd082.png", "website": "https://physicalturing.ai/", "all_locations": "New York City, NY, USA", "long_description": "Physical Turing is a neo robot deployer. Our core tech lets us deploy any robot fast, and every deployment produces the real-world data we use to train our own intelligence.\r\n\r\nWe're starting by automating industrial inspection and security tasks, which have historically had labor shortages due to their safety risks.", "one_liner": "Next generation robot deployer", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1752283172, "tags": [ "Robotics", "B2B", "AI" ], "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/physical-turing", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/physical-turing.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/physical-turing", "x_url": "https://x.com/rifflab", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c87367cd52d809c0b9a6f05ef79f3c162b4dd082.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ec9a6ee68dafa82450d8affd515bbf47d968e5e4.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2491351, "full_name": "Adith Reddi", "title": "Founder/CEO", "founder_bio": "Building Physical Turing | Berkeley CS, music producer (1M+ streams), AI whiz", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adithreddi/", "x_url": "https://x.com/adithreddi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cf79654eb9926f610e9226cea25b3ce23786f144.jpg" }, { "user_id": 2545325, "full_name": "Kenny Zhang", "title": "Founder/CTO", "founder_bio": "Building Physical Turing | Berkeley CS, Music Producer, Formerly @ Tencent, Amazon", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kenny-zhang-jinlin/", "x_url": "https://x.com/Zerkka0819", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f477208af46421413842cbf7e2345d5b82c4aa44.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92151, "title": "Riff – Cursor for music production", "tagline": "Riff is a music editor w/ superpowers — make music without needing extreme technical chops.", "body": "Hey YC!\n\nWe’re Adith and Kenny — the founders of Riff!\n\n# **TL;DR**\n\n[Riff](https://goriff.com) is a **music editor with superpowers** where experienced producers can be 10x more productive and hobbyists can delight in making music without needing technical chops.\n\n[**https://youtu.be/bjyjtr8-yz8**](https://youtu.be/bjyjtr8-yz8)\n\n# **Problem**\n\n**Slow**\n\n🖥️ ❌ Legacy music production software is clunky and weighed down by archaic UX.\n\n**Repetitive**\n\n🎧 ❌ Musicians sometimes spend hours making changes that should realistically happen in minutes. With legacy software, there is no high-signal way of getting your creativity down.\n\n**High skill barrier**\n\n🎸❌ The difficulty of existing tools blocks people with musical interest but no patience to learn complex audio engineering.\n\n# **Solution**\n\nRiff is an AI music editor meant to make music creation easier, yet still keeps the artist in charge.\n\n🤘 Add sounds in your style directly into the editor using AI\n\n![uploaded image](/media/?type=post&id=92151&key=user_uploads/2491351/381a389e-ba7a-41c9-9954-b5994667ec53)\n\n🎵 Arrange sounds with AI\n\n![uploaded image](/media/?type=post&id=92151&key=user_uploads/2491351/d7011ba4-8c5c-4c3b-b46c-0f73dedce6c2)\n\n# **Team**\n\nAdith and Kenny met at Berkeley through a music collective they started (now 1200+ artists large).\n\n🎹 Adith has been making music for \\~5 years, has 1M+ streams on Spotify, and is deep into audio AI.\n\n🥁 Kenny has been making music for \\~8 years, Ex-Tencent Ex-Amazon, and releases frequently on Spotify.\n\n# **Who’s it for?**\n\nIn the short run, we’re targeting aspiring musicians who are between entry level music software like GarageBand and BandLab. Very soon, we’ll have enough features that we can directly compete with FL/Ableton/Logic/Pro Tools and get experienced producers onboard.\n\n# **Our Asks**\n\n**If you answer yes** to any of these questions, would be great if you can **share this post** with your network:\n\n* Do you know someone who has always wanted to make music but finds the tools too hard?\n* Do you know professional artists who can sing/play instruments but do not know digital music production?\n\nYou can reach out to us here: [founders@goriff.com](mailto:founders@goriff.com) or 610-762-5102\n\n![uploaded image](/media/?type=post&id=92151&key=user_uploads/2491351/0674ebe1-dc13-4e4a-9c79-5c4599a4829f)\n\nThanks for your time everyone!\n\nBest,\n\nAdith and Kenny\n\n![uploaded image](/media/?type=post&id=92151&key=user_uploads/2491351/a37461fa-e46b-4ef8-b5f6-a4f71352d3c7)\n\n", "url": "https://www.ycombinator.com/launches/NyJ-riff-cursor-for-music-production", "votes": 80, "created_at": "2025-07-15T14:10:27.207Z" } ] }, { "id": 30704, "name": "Albacore Inc.", "slug": "albacore-inc", "former_names": [ "Albacore Ocean Systems, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/136331286874ea99fbd7e2a7b2acfee659b0c7bf.png", "website": "https://www.albacore.inc", "all_locations": "Philadelphia, PA, USA", "long_description": "Albacore Inc. builds mass-producible long-range drone submarines. In the era of autonomous warfare, we support military operators with underwater systems that can traverse oceans and be deployed at scale.", "one_liner": "Drone submarines", "team_size": 18, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1753760756, "tags": [ "Drones", "Maritime", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "Industrials", "Defense" ], "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/albacore-inc", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/albacore-inc.json", "year_founded": 2025, "city": "Philadelphia", "country": "US", "linkedin_url": "https://www.linkedin.com/company/107689623", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/136331286874ea99fbd7e2a7b2acfee659b0c7bf.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": 2629924, "full_name": "Dante Vaisbort", "title": "Founder/CEO", "founder_bio": "UChicago Classics major turned repeat defense tech startup founder from Los Angeles. Previous company developed autonomous system-focused power technologies for the DoD, now building the world's best underwater drones.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dante-vaisbort/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f9914774477ce8771c2ff1c85e49a1b594c91049.jpg" }, { "user_id": 2763448, "full_name": "John Huddleston", "title": "Founder", "founder_bio": "I'm a New York City native who graduated from Brown University with a degree in mechanical engineering. I spent 3 years advising Fortune 500 aerospace and defense companies and senior Navy leadership on autonomous systems before founding Albacore.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/john-huddleston-3584121b7/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f5635ae8e5111b0a37558a03f311bc8aae94464d.jpg" } ], "jobs": [], "news": [ { "title": "Exclusive: YC-Backed Albacore Swims Into $6.5M Seed Round", "url": "https://www.tectonicdefense.com/exclusive-yc-backed-albacore-swims-into-6-5m-seed-round/", "date": "Oct 16, 2025" } ], "launches": [ { "id": 92587, "title": "🌊 Albacore – Autonomous micro-submarines", "tagline": "Building the technology to make maritime invasions impossible", "body": "### **TLDR:**\n\nHey everyone! We’re [**John**](https://www.linkedin.com/in/john-huddleston-3584121b7/) (engineer and unmanned systems expert) and [**Dante**](https://www.linkedin.com/in/dante-vaisbort/) (repeat defense founder). [**Albacore Inc.**](https://www.albacore.inc/) is building the next generation of unmanned underwater vehicles (UUVs) to prevent maritime invasions. Our first product is **Ghostfin:** a 6-foot-long autonomous underwater vehicle that can patrol over 1,000 nautical miles undetected and massively damage hostile watercraft.\n\n[**https://www.youtube.com/watch?v=UQ6SYgIsDQs**](https://www.youtube.com/watch?v=UQ6SYgIsDQs)\n\n### [**🏴‍☠️**](https://emojipedia.org/pirate-flag) The Problem: America doesn’t have any long-range underwater strike weapons.\n\nIn the case of an Indo-Pacific conflict, our military’s existing suite of autonomous underwater vehicles is woefully unprepared. Today’s unmanned underwater vehicles are short-range, expensive, and overly mission-specific. Unlike the Ukrainians or even the Houthis, America doesn’t have underwater vehicles built for attack missions in service.\n\n### **🚀 Our Solution: Low-cost autonomous underwater vehicles that can travel 10x further.**\n\nRange is the key constraint in massive bodies of water like the Pacific Ocean. The Albacore team has spent years working on power technology and manufacturing for unmanned systems, and can build Ghostfin far more efficiently than anything on the market today by using a combination of highly scalable in-house-designed and off-the-shelf components.\n\n![uploaded image](/media/?type=post&id=92587&key=user_uploads/2629924/1f9c199a-487c-4de0-848e-94ae31db9ba6)\n\n### 👥 **Our Team:**\n\n**John Huddleston, Co-Founder:** John is a mechanical engineer who spent 3 years at the Boston Consulting Group advising government agencies and Fortune 500 companies in the defense industrial base. He worked on >$9b in unmanned systems manufacturing and procurement efforts alongside senior military leadership.\n\n**Dante Vaisbort, Co-Founder:** Dante is a second-time founder in defense, who has won and led more than >$10m in DoD contract efforts for his first company, Haylon Technologies, which builds power technology for autonomous systems and is still active.\n\nWe also have an incredible engineering team hailing from Lockheed Martin, Johnson & Johnson etc. who have won underwater vehicle competitions and have a combined 20 years experience on space flight technology, autonomous vehicle AI, medical robotics, and robosubs.\n\n![uploaded image](/media/?type=post&id=92587&key=user_uploads/2629924/550044dc-1333-486f-8877-384a1270c501)\n\n### **😇 Our Ask:**\n\nPlease reach out to us if you can help us deliver solutions to the Navy, Special Operations Forces, intelligence community, or allied foreign militaries. If you know any commercial entities who may want this, that’s great too!\n\nStay tuned for us to blow stuff up in the next one. In the meantime, drop us a line at [**founders@albacore.inc**](mailto:founders@albacore.inc)", "url": "https://www.ycombinator.com/launches/O5L-albacore-autonomous-micro-submarines", "votes": 23, "created_at": "2025-07-30T21:53:17.995Z" } ] }, { "id": 30707, "name": "Phases", "slug": "phases", "former_names": [ "Patiently" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b86a9282100b709aabe1d7e08db1811939f3c859.png", "website": "https://phases.ai", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "AI for the physical world", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1751998711, "tags": [ "AI" ], "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/phases", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/phases.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/phases-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b86a9282100b709aabe1d7e08db1811939f3c859.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b03a878d766dd7d019677b0b8116cc359f40c356.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 2781701, "full_name": "James Wall", "title": "Founder/CEO", "founder_bio": "AI for the physical world", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/j-m-wall", "x_url": "https://x.com/jameswall000", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4ded647548c5d9ce3dd8948e431d99af8d6566b2.jpg" }, { "user_id": 2662070, "full_name": "Anton Zaliznyi", "title": "Co-founder & Chief AI Officer", "founder_bio": "Previously Robotics/AI Researcher at University of Toronto and SWE at Palantir.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anton-zaliznyi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1cf5a5f5ccbd711ef8b0eb3f4a67fda44e8bbfc7.jpg" }, { "user_id": 646263, "full_name": "Jonathan van Wersch", "title": "Founder/CTO", "founder_bio": "- Previously a software engineer at Meta, where I worked on integrating machine learning into the mobile ads manager app.\n- Before Meta, I was at Improbable, a UK unicorn, where I helped scale the web platform team from 3 to 20 engineers.\n- I hold a bachelors and masters in mechanical engineering from the University of Bath, where I was project manager and engineering lead for the university's rocket team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jonathan-vw", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3cc0cc808d31a9fac0b3e6db7c3efefa37562714.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30708, "name": "Perseus Defense", "slug": "perseus-defense", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5cdd4deac94e3261e5048ff6c4ffdd39942a5840.png", "website": "https://perseusdefense.com", "all_locations": "Austin, TX, USA", "long_description": "Perseus Defense is building a mass-manufactured Counter UAS solution for the Department of Defense and Department of Homeland Security. Current solutions are one-to-one, too dangerous for use on U.S. soil, and orders of magntiude more expensive than the threats they defeat. Our self-guided missile platform is man-portable and multi-domain capable. It senses, engages, and eliminates threats with drastically reduced cost per engagement over existing kinetic solutions. \r\n\r\nSolving this critical national security problem requires understanding complex DoD needs along with actual rocket science including aerodynamics, guidance, navigation, control, and much more. Jason and Steve met at Penn State while they pursued their PhD and MS in aerospace engineering, respectively. Their past experiences designing space helicopters for NASA, making Boeing airliners land autonomously, controlling swarms of unmanned autonomous systems, teaching aerospace engineering at Stanford, winning multiple ONR and DOE engineering competitions, and founding an international drone competition makes them the perfect team to create transformative solutions protecting our service members. \r\n\r\n\"If you build this, it will be mandatory equipment for every truck, boat, and convoy in the U.S. Military. We're talking thousands of units.\" - Former DoD Procurement Officer\r\n\r\nThe White House just released Executive Order, \"Unleashing American Drone Dominance\" which adds billions of dollars, government support, and streamlined regulations to enable the development of our product. \r\n\r\nTraction: \r\nJason and Steve used more than 100 end-user interviews across the DoD and DHS to shape the product to something of critical need to both boots on the ground and DoD purchasers. In 8 short weeks following a strict 2-week design-build-test cycle, the team has gone through 4 major guided missile iterations with over 30 live-fire flight tests. They were invited to Ft. Hood to present their platform to the 1st Cavalry Division, and also briefed the Pentagon and U.S. congressmen on current U.S. vulnerabilities to advanced drone technology. Perseus Defense is actively standing up cooperative research agreements with U.S. Army DEVCOM's Applied Research Laboratory, Aviation and Missile Center, Armaments Center, and High Performance Computing Modernization Program. ", "one_liner": "America's Golden Dome for Drones", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1750048762, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "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/perseus-defense", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/perseus-defense.json", "year_founded": 2025, "city": "Austin", "country": "US", "linkedin_url": "https://www.linkedin.com/company/perseusdefense", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5cdd4deac94e3261e5048ff6c4ffdd39942a5840.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 1658535, "full_name": "Jason Cornelius", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Perseus Defense. I helped lead major parts of the NASA Titan Dragonfly space helicopter. I also secured half a million of NASA HQ funding to lead an advanced concepts team using AI/ML/supercomputing to design next generation Mars helicopters. \n\nI teach aerospace engineering at Stanford, fly airplanes, have 7 scuba certifications, and speak four languages. I wrote a book in four months last fall, \"Dare to Dream: A Small-town Kid's Journey to NASA.\" ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jason-k-cornelius/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/77a5c1afba2128c3f34c458562bb573be7104125.jpg" }, { "user_id": 1293592, "full_name": "Steve Messinger", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of Perseus Defense. Swarm robotics researcher focused on building and deploying real-world autonomy. I’ve won swarm robotics competitions, built autonomy that allows Boeing aircraft to land themselves, and developed collaborative behaviors for unmanned boats.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/steve-messinger-a32680155/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7a25d6c89777ad43af3e880d02110d6ab4e6891a.jpg" } ], "jobs": [ { "id": 82473, "title": "Engineer", "url": "https://www.ycombinator.com/companies/perseus-defense/jobs/lTD7HZx-engineer", "location": "Austin, TX, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$110K - $180K", "equity_range": "0.10% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 82474, "title": "Engineer", "url": "https://www.ycombinator.com/companies/perseus-defense/jobs/YuIMp9z-engineer", "location": "Austin, TX, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$110K - $180K", "equity_range": "0.10% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 82475, "title": "Engineer", "url": "https://www.ycombinator.com/companies/perseus-defense/jobs/jeusOvL-engineer", "location": "Austin, TX, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$110K - $180K", "equity_range": "0.10% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 82476, "title": "Engineer", "url": "https://www.ycombinator.com/companies/perseus-defense/jobs/uxJvS5U-engineer", "location": "Austin, TX, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$110K - $180K", "equity_range": "0.10% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 82477, "title": "Engineer", "url": "https://www.ycombinator.com/companies/perseus-defense/jobs/PsAC51N-engineer", "location": "Austin, TX, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$110K - $180K", "equity_range": "0.10% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 91870, "title": "Perseus Defense 🚀 Building America's Iron Dome for Drones", "tagline": "Meet Perseus, the team building affordable micro-missiles to combat drone swarms ", "body": "Hey everyone [👋](https://emojipedia.org/waving-hand) Happy 4th of July!\n\nWe’re [Jason](https://www.linkedin.com/in/jason-k-cornelius/) from NASA and [Steve](https://www.linkedin.com/in/steve-messinger-a32680155/) from Boeing – and now, we’re co-founders of [Perseus Defense](https://www.ycombinator.com/companies/perseus-defense).\n\n# **TL;DR — We're building guided micro-missiles that shoot down drones in combat**\n\n**_Ask_:** Do you know end-users across the Department of Defense (DoD) and Department of Homeland Security (DHS) that could benefit from attritable anti-drone solutions?\n\nhttps://youtu.be/o17lMdLuZWQ\n\n# **❌ The Problem**\n\nToday’s Counter-Unmanned Aerial System (**CUAS**) solutions are too expensive, too heavy, too slow, and too ineffective.\n\n1. **70-80%** of battlefield fatalities come from drone strikes\n2. **$100,000+** kinetic solutions are used to counteract **$500** drones\n * **$500** drones are eliminating **$100M** assets\n3. Current solutions are easily defeated with fiber-optic, visual inertial odometry, or simple waypoint navigation missions\n\n![uploaded image](/media/?type=post&id=91870&key=user_uploads/1658535/5caa36d2-7e58-4001-b716-33dadb3e92b5)\n\n_$500 Ukrainian drones decimate $100M Russian strategic bombers_\n\n# 🚀 \\*\\* Our Solution \\*\\*\n\nPerseus is creating the first affordable guided micro-missile pods to bolster American defense capabilities both at home and abroad.\n\nOur micro-guided missiles detect, identify, and eliminate incoming threats before they can reach their intended target. They cost less than $10k, which is 2 orders of magnitude less than the current best solutions.\n\nSteve and I felt we could create a better solution to the CUAS problem and decided we had a moral obligation to follow through on that belief. We quit our old jobs and put it all on the line to fast-track this capability for the U.S. and our allies.\n\n![](https://lh7-rt.googleusercontent.com/slidesz/AGV_vUdop9WhSeh84TqDYnuwb3vz1KrIWMQDG2MWaFBwptJ3V92-8mbVSKxJzAVgy3W8RXJF8ovt3OHW-hN49IX6q1nBBLmdsuYzaAOJuATMlBJC1U1FTg9GwtyELc63ytxpmLWJ8Wfqag=s2048?key=GGmIlUfxi3cwLoUUF9rHqQ)\n\n_Perseus Defense Mark-II Guided Missile Test (Prototyped in 1 week)_\n\n![](https://lh7-rt.googleusercontent.com/slidesz/AGV_vUcAN59Yl56m_fFTA4T6Hy9mIwgWRyVILftyiV0zK5LBlNr0z9CtXbGM2Ds7u3F62fX8nX0j0HwFe0P8aahK_00gXESeyeQn8-8JmAdE5u9epJxbPEjHeEY7Gr7vq0ZwTOVYh89E5A=s2048?key=GGmIlUfxi3cwLoUUF9rHqQ)\n\n# **The Team**\n\nJason and Steve studied aerospace engineering together at Penn State University and founded Perseus Defense in 2025.\n\n**Jason (CEO)** designed NASA’s Titan Dragonfly space helicopter, led a NASA advanced projects team to design a next-generation Mars helicopter, and has contributed to multiple aerospace programs across NASA, the DoD, and commercial sectors. He holds a PhD in aerospace engineering with specializations in aircraft design, supercomputing, and machine learning. Jason also taught Aerodynamics at Stanford, speaks four languages, and founded an international drone competition.\n\n**Steve (CTO)** has worked as a swarm robotics researcher focused on building and deploying real-world autonomy. He won swarm robotics competitions with the Office of Naval Research, built autonomy that allows commercial aircraft to land themselves at Boeing, and developed collaborative behaviors for Unmanned Surface Vehicles at Applied Intuition.\n\n![uploaded image](/media/?type=post&id=91870&key=user_uploads/1658535/2c3d3f2c-7cd2-4a48-a4f2-f19631938c29)\n\n_Prepping a UAS-mounted Missile (Prototyped in 1.5 weeks)_\n\n# **🙏 Our Ask:**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Have you been wondering how $500,000 CUAS solutions are supposed to combat $1,000 drones at scale?\n* Can you introduce us to end-users across the DoD or DHS that are looking for better solutions to protect our troops, our country, and our allies?\n\n👉 Contact us at [founders@perseusdefense.com](mailto:founders@perseusdefense.com)\n\nYour help can make a huge difference as we work to protect the folks we care about abroad and here at home. **Thank you!**", "url": "https://www.ycombinator.com/launches/Ntm-perseus-defense-building-america-s-iron-dome-for-drones", "votes": 40, "created_at": "2025-07-04T16:47:48.545Z" } ] }, { "id": 30717, "name": "Iron Grid", "slug": "iron-grid", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/74e6bdb4c255f21276dac2d593eebde20bf29b57.png", "website": "https://getirongrid.com/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "AI-Native Data Center Engineering", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1754064844, "tags": [], "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/iron-grid", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/iron-grid.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/74e6bdb4c255f21276dac2d593eebde20bf29b57.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": 2611241, "full_name": "Fern Morrison", "title": "Founder/CEO", "founder_bio": "Foundational models for risk and quality. \n\nApple Battery team; employee #9 and led product at Mitra Chem (raised >$200M); Stanford Chemical Engineering", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/elizabeth-fern-morrison/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/10c84185605665ba5bb6054a2e98e89679690e28.jpg" }, { "user_id": 1346739, "full_name": "Gabriele Pozzato", "title": "Founder/CTO", "founder_bio": "AI-Native Data Center Engineering\n\nBattery multiphysics modeling at Form Energy\nDeveloped IronGrid’s risk-modeling infrastructure during his postdoc at Stanford\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gabriele-pozzato-ph-d-2167a2107/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7de222bab1db5ac91e939c3775c7d6c48ba0a30d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30728, "name": "OS3", "slug": "os3", "former_names": [ "Observee" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd88161755dbb4d7513a2dc91e69b26930313524.png", "website": "https://os3robotics.com/", "all_locations": "San Francisco, CA, USA", "long_description": "OS3 is building the platform that makes intelligent robots accessible to every business.\r\n\r\nToday, robotics is constrained by two fundamental bottlenecks: hardware is too expensive to deploy at scale, and robots are difficult to train because high-quality robotics data is scarce and costly to collect. \r\n\r\nWe built OS3 to solve both.\r\n\r\nOur two-person team designed and a US-made mobile humanoid robot for a fraction of the cost of commercial alternatives. On the intelligence side, instead of relying on expensive robot-generated training data, we trained our own video-action model on 150,000 hours of real-world video spanning more than 2,000 tasks. Every deployed robot feeds new experience into our reinforcement learning pipeline, self improving robot fleet over time.\r\n\r\nThis creates a robot that can be deployed across industries to automate repetitive, physical work without requiring a new robot or training pipeline for every task. Our robots are already deployed in hotels, with customers now expanding the platform into biotech, hospitals, and data centers, including a wet lab at Stanford.\r\n\r\nOur mission is to do for robotics what Apple did for personal computing: take technology that was once expensive, specialized, and inaccessible and make it powerful and usable at massive scale. We’re building toward a world with billions of intelligent robots, and OS3 is the platform that makes that possible.", "one_liner": "Affordable, intelligent humanoid robots built to deploy at scale", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1753297896, "tags": [ "Hardware", "Robotics", "B2B", "AI" ], "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/os3", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/os3.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/os3", "x_url": "https://x.com/os3robotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd88161755dbb4d7513a2dc91e69b26930313524.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": 1427209, "full_name": "Rishabh Chanana", "title": "Founder", "founder_bio": "Built a computer at 10. First line of code at 12. Built & programmed a robot at 17.\n\nGrad School at UCSD, Robotics & AI. NLP research with Harvard and Georgia Tech. Trained LLMs at ServiceNow & built patented ML systems.\n\nNow soldering and training robots at OS3.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/risos8200/", "x_url": "https://x.com/risos8200", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ef6e03c90f9e979491f4a8676962acf0df0db05.jpg" }, { "user_id": 1909563, "full_name": "Chris Hailey", "title": "Founder", "founder_bio": "Co-Founder at OS3. Ex-Coinbase software engineer on the asset addition team, generated over $19 billion of trading volume. Turned a YC hackathon winning project into a $10K MRR idea. Undergrad CS from USC with Presidential Merit scholarship. Serial marathon runner, most recently completed the 2025 Oakland Marathon in 3 hours 12 minutes.", "is_active": true, "linkedin_url": "https://linkedin.com/in/chrishailey8", "x_url": "https://x.com/realChrisHailey", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ef8f471703ec1718bd79c1c35df1da5a33528f6.jpg" } ], "jobs": [ { "id": 100908, "title": "Mechanical Design Engineer - Robot Parts & Enclosures (Contract)", "url": "https://www.ycombinator.com/companies/os3/jobs/r2aKeWa-mechanical-design-engineer-robot-parts-enclosures-contract", "location": "San Francisco, CA, US / Remote (IN)", "type": "Contract", "role": "Engineering", "role_type": "Hardware", "salary_range": "₹360K - ₹800K INR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "CAD Design" ] } ], "news": [ { "title": "Meet The YC Startups Betting On What Comes Next", "url": "https://www.forbes.com/sites/dariashunina/2026/09/03/meet-the-yc-startups-betting-on-what-comes-next/", "date": "Sep 03, 2026" } ], "launches": [ { "id": 110139, "title": "OS3: Intelligence and Machines for Physical Labor", "tagline": "Semi-humanoid hardware & Model based on 150k hours of Videos. Preorders Live Now", "body": "**TL;DR: OS3 is building semi-humanoid robots for physical labor. Our first robot, H.A.L.E 1.0, is built for everyday human tasks, and our first model is based on 2,000+ distinct real-world tasks and 150,000 hours of video data. We are opening up pre-orders to all with shipments starting this Fall.**\n\n**Physical AI Problem:**\n\nA lot of teams and businesses want to build and deploy in the robotics space. But they have to source parts or buy hardware from different vendors. Furthermore, the recent import ban makes it even harder for beginners and startups to use the latest hardware, unless they are willing to spend tens of thousands of dollars. Post hardware, constant data collection is needed to adapt open or closed-source models to the ever changing hardware choices. In other words, everyone keeps reinventing the same wheel of modern robotics development over and over again. \n\n**Our solution:**\n\n[**Video Link**](https://youtu.be/dDwaQbZYPLQ)\n\nWe built OS3: Both the hardware from ground up and the model to control the hardware. Our first robot, H.A.L.E. 1.0 (Human Aligned Life Enhancing), is designed to handle a wide range of everyday physical tasks, and we are presenting the prototype unit today.\n\nOur goal is towards pushing American robotics forward while ensuring the state of the art is available to all. \n\n**Hardware and Model:** \n\nIt features a bimanual embodiment with an omni-directional base, full height control to pick up objects directly from the ground while being able to reach top shelves, and a battery that can last a whole work day. Additionally, our design is primarily focused on safety and user-friendliness; a person can start and stop a task at just the touch of a screen on the back of the robot or a mobile app. \n\nThe intelligence layer is a two system architecture, with a high level planner layer and a lower level execution layer. The model has been trained on 150,000 hours of video data spanning over 2,000 real world tasks. Technical report coming soon, once evaluation runs finish. Hardware specs and engineering deep dive posted on our website.  \n\n**Preorders Live now** \n\nShipments begin Fall 2026.\n\nOur strong supply chain enables us to make our first low-cost robot starting at just under $10k for businesses to deploy (available in private beta now) and under $15k for developers to experiment with. We are already working with hospitality providers and biotech companies to deploy our robots. \n\n[**Order Link**](https://os3robotics.com/deploy/)**: 99 dollars deposit fully refundable**\n\nWe are also working on our own custom actuators right now, enabling even higher payload for our robots. Happy to discuss more if your business involves such use cases.\n\n**Talk to us:** [hi@os3robotics.com](mailto:hi@os3robotics.com) or book some time [here](https://cal.com/os3robotics/bf?overlayCalendar=true). ", "url": "https://www.ycombinator.com/launches/SeR-os3-intelligence-and-machines-for-physical-labor", "votes": 7, "created_at": "2026-08-11T19:00:00.126Z" } ] }, { "id": 30741, "name": "F4 Industries", "slug": "f4-industries", "former_names": [ "F4", "F4 Industries", "F4" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1af9d562299111b9e8590450d36412897ddd8f8.png", "website": "https://f4.dev/", "all_locations": "San Francisco, CA, USA", "long_description": "GD&T takes years to master. Engineers must encode their design intent into a dense syntax that manufacturers must decode, and not everyone gets it right. \r\n\r\nPut ten engineers in front of the same drawing and you may get ten different interpretations. Which means errors often surface later in interface stack-ups, manufacturing, or in the field - when they’re far more expensive to fix.\r\n\r\nThat’s why we built F4 - the platform that analyzes GD&T to determine whether your designs are ready for production.\r\n\r\nDrop in your drawing and 3D file. F4 analyzes every element of your GD&T to assess whether your design is clear, manufacturable, and production ready. To make the drawing easier to understand, engineers can visualize their datums, reference frames, and tolerance zones directly on the 3D model. F4 also calculates tolerance stack-ups instantly - directly from the drawing. What once took hours of manual work now takes seconds.\r\n\r\nWhen issues are found, F4 flags them and guides engineers toward resolving the problem.\r\n\r\nAfter analyzing your drawing, F4 also automatically generates design and inspection reports - stack-up tables, FAI reports - ready to share with your team.\r\n\r\nAnd it does all of this locally on-device with no AI used for analysis. Producing deterministic results engineers can trust.", "one_liner": "The GD&T Analysis Platform for Engineering Drawings", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1752681359, "tags": [ "Hardware", "B2B", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 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": null, "url": "https://www.ycombinator.com/companies/f4-industries", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/f4-industries.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/f4-industries/", "x_url": "https://x.com/F4_Industries", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1af9d562299111b9e8590450d36412897ddd8f8.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": 2642473, "full_name": "Paul Shin", "title": "Founder/CEO", "founder_bio": "CEO & Co-Founder @ F4 | Previously Mechanical Design Engineer @ Tesla Drive Unit where I owned 6 CyberCab & SEMI production parts | Earlier, pioneered liquid bipropellant rocketry @ UA & UC Berkeley", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/paul-hyoungsang-shin/", "x_url": "https://x.com/ur_hyoung", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5289389583312088b4d4eb04d4a9fb4d4c6c0c51.jpg" }, { "user_id": 2779701, "full_name": "Aidan Cantu", "title": "Founder/CTO", "founder_bio": "CTO & Co-Founder @ F4 | Previously Avionics Test Engineer @ SpaceX where I designed and built hardware for Raptor 3 engine testing | Earned B.S. & M.S. in Electrical Engineering in four years with minors in CS & Math", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aidan-cantu/", "x_url": "https://x.com/_aidan_cantu_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4e3ae6da411b7108cf54cd93cc612d5fd0eca40f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 99090, "title": "F4 - The GD&T Analysis Platform for Engineering Drawings", "tagline": "(without using AI for analysis!)", "body": "GD&T takes years to master, and even experienced engineers can interpret the same drawing differently. When design intent is unclear, issues tend to surface later in interface stack-ups, manufacturing, or worse, in the field where fixes become far more expensive.\\\n\\\nWe built F4 to address that. \\\n\\\nF4 - The GD&T Analysis Platform for Engineering Drawings\\\n\\\nUpload a drawing and 3D model and F4 analyzes the GD&T to assess whether the design is clear, manufacturable, and inspectable. Engineers can visualize datum reference frames and tolerance zones directly on the 3D model, instantly calculate stack-ups from the drawing, and identify issues before they become costly problems.\\\n\\\nF4 also generates the reports teams need to move forward, including stack-up tables and FAI documentation.\\\n\\\nAll analysis runs locally on-device using deterministic algorithms, producing reliable results engineers can trust. \\\n\\\nWatch the video below to see how it works. \n\n\\\n\\\nTo evaluate whether your designs are truly production ready, book a demo of the F4 Enterprise platform on [**https://f4.dev**](https://f4.dev) and see our full GD&T coverage.\\\n\\\nOr try F4 Lite at - our advanced PDF engineering drawing viewer built to replace browsers and tools like Acrobat for reviewing prints!", "url": "https://www.ycombinator.com/launches/PmE-f4-the-gd-t-analysis-platform-for-engineering-drawings", "votes": 20, "created_at": "2026-03-25T20:49:09.631Z" }, { "id": 93123, "title": "F4 - Automated compliance checks for engineering drawings", "tagline": "We help hardware teams 10x how they redline & interpret engineering drawings", "body": "# **What is F4 in a nutshell?**\n\nWe’re helping hardware-rich teams 10x how they redline and interpret engineering GD&T drawings. With backgrounds at Tesla and SpaceX, we’re building a platform that finally treats drawings like code—automatically validating every dimension, tolerance, and GD&T symbol against standards so noncompliance is caught instantly.\n\nhttps://youtu.be/SYzqZ4XWmCA\n\n![uploaded image](/media/?type=post&id=93123&key=user_uploads/2642473/a6d6c66e-7e58-4405-b4e2-48c30b354495)\n\n# **The Problem & Why We Built F4**\n\nDrawing literacy is one of the weakest skills across hardware teams. Yet drawings are made every day.\n\nThese aren’t just illustrations—they’re effectively business contracts between designers and manufacturers, defining what’s acceptable in production. Drawings carry the bulk of design intent—fit, form, function, and fabrication—and act as the important source of truth across production, quality, and supply chain.\n\nGD&T standards from ASME and ISO exist to formalize this communication. But they’re dense and confusing. Across major revision years, there are thousands of pages of definitions, edge cases, and revision quirks. Designers are expected to know it all, leads are expected to catch every mistake, and suppliers are expected to interpret drawings flawlessly. One mistake means scrap, delays, or worse.\n\n# **Our Solution**\n\nWhy is something so critical still so manual? Why can’t drawings be validated and interpreted more quickly and robustly —like code? Why can’t hardware dev be more like software dev?\n\nWe’re changing exactly that!\n\nF4 treats drawings like code—they either execute or fail immediately. Our platform checks every dimension, tolerance, and GD&T symbol against standards in real-time, ensuring full compliance before a drawing ever reaches the floor. No more total reliance on manual redlining and reviews.\n\n![uploaded image](/media/?type=post&id=93123&key=user_uploads/2642473/1aa5904c-3086-4722-8838-ffda9c0d7a85)\n\nF4 ensures engineers never release noncompliant drawings—and suppliers never misinterpret them. F4 helps industrial teams eliminate costly scrap, rework, and miscommunication at the root.\n\n# **How It Works**\n\n1. Upload a drawing (dxf…and very soon pdf)\n2. Select GD&T standard of choice (ASME Y14.5 - 1994, 2009, & 2018)\n3. Get instant compliance score graded against a desired GD&T standard using **deterministic logic**\n4. Get recommendation to correct any asset (FCF, FOS, datum, basic, modifier, and/or dimension) of the drawing that is noncompliant with references to ground-truth sources\n5. With a compliant drawing - get standard definition, inspection plan, and tolerance analysis interpretations on any drawing asset of interest\n\n![uploaded image](/media/?type=post&id=93123&key=user_uploads/2642473/accc67da-db20-423d-84b0-7ec4904ad800)\n\n## **Hardware Platform Built by Hardware Engineers!**\n\nI worked at Tesla as a Mechanical Design Engineer and took 6 parts from clean sheet design to production for the CyberCab and SEMI drive system programs. I was also the lead engineer for Tesla’s global drive unit heat exchanger program with +3 million unit annual production volume.\n\nAidan worked at SpaceX as an Avionics Test Engineer, where he designed and owned testing hardware (PCB boards and testing apparatus) for the Raptor 3 Engine - the most advanced rocket engine in the world. \n\nIn college, we led The University of Alabama’s Rocket Team where we achieved the university’s first-ever liquid rocket engine hotfire! I built the rocket engine and Aidan built the electrical/software for our propulsion system.\n\nhttps://youtube.com/shorts/rBwsqu_sdeg?si=RgRU_eqib7_-qLcV\n\n## **Ready to Ditch Manual Redlining?**\n\nIf you're tired of pretending to be good at GD&T:\n\n* Email us: [paul@f4.dev](mailto:paul@f4.dev) and [cantu@f4.dev](mailto:cantu@f4.dev)", "url": "https://www.ycombinator.com/launches/ODz-f4-automated-compliance-checks-for-engineering-drawings", "votes": 22, "created_at": "2025-08-18T23:37:02.733Z" } ] }, { "id": 30771, "name": "Flywheel AI", "slug": "flywheel-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/20c7285daed594e49818c41dd7e677796b8e4b61.png", "website": "https://useflywheel.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Flywheel AI converts any existing excavators for contractors to enable remote ops to increase safety and productivity, and use robotics context dataset to train autonomous policies.", "one_liner": "Waymo for excavators", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1750156128, "tags": [ "Deep Learning", "Hardware", "Construction" ], "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/flywheel-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/flywheel-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/flywheel-company", "x_url": "https://x.com/flywheel_inc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/20c7285daed594e49818c41dd7e677796b8e4b61.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": 367031, "full_name": "Jash Mota", "title": "Founder/CEO", "founder_bio": "building semi-autonomous heavy equipment", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jashmota/", "x_url": "https://x.com/jash_mota", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3cf9f3041d7ae1817cb11e5af8709aed45ecff78.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92796, "title": "Flywheel AI: Waymo for excavators", "tagline": "Enable remote teleoperation in excavators to increase safety and productivity", "body": "Hey everyone! We’re[ Jash](https://linkedin.com/in/jashmota) and[ Mahimana](https://www.linkedin.com/in/mahimanabhatt/) - co-founders of Flywheel AI - we enable remote control for excavators on construction sites.\n\nWe do this by enabling remote teleoperation. We then use the teleoperated excavators to collect the datasets needed to automate the machines.\n\nhttps://youtu.be/Kpbor3M6Mr8\n\n**🚧Problem**\n\nConstruction industry has some troubling trends:\n\n* **1 million worker shortage** in the US alone\n* **1000+ deaths annually** from safety incidents (and rising)\n* **Hundreds of thousands in penalties** + multi-week shutdowns per incident\n* **40% operational downtime** due to blind spots and inefficiencies\n\nIt’s **Dull, Dirty, Dangerous**, dialed to the max!\n\nThe problem is global and getting worse as the workforce ages and recruitment plummets.\n\n**👷The Flywheel Solution**\n\n**🚜Retrofit**\n\n![uploaded image](/media/?type=post&id=92796&key=user_uploads/367031/4e9829e3-a90f-4d93-b08f-d17cb961ea7f)\n\nWe engineered a new way to retrofit heavy equipment, which is machine-agnostic and compatible with pretty much any hydraulic equipment. These can be installed in few hours and don’t block manual operations.\n\n**🕹️Remote Teleop**\n\n![uploaded image](/media/?type=post&id=92796&key=user_uploads/367031/cb9452e8-c8eb-4b0f-9a2f-37cfb58a1314)\n\nWe built a low-latency remote teleop + dataset collection platform with the ability to remotely turn on/off the machines and let supervisors take over at any time. This enables controlling the fleet even from a minimal setup of laptop and joysticks.\n\n**⚡Workflow Autonomy**\n\n![uploaded image](/media/?type=post&id=92796&key=user_uploads/367031/a75da0c3-ee2b-4b86-9f6f-5108e7a5423b)\n\nWe use data from actual operations and robot learning to train models which does various tasks like dig and dump, trenching, grading and more. This will enable a single operator to manage more machines and sites at the same time.\n\n**We’re Flywheel AI**\n\n![uploaded image](/media/?type=post&id=92796&key=user_uploads/367031/e752210f-530c-4dd4-9b25-475ea1137089)\n\nJash previously built remote teleop tool with companies like Accenture as users. Mahi built the data and ML pipeline at Motional which runs over 50K simulations everyday. Together we have built various robots and spent many hours on the sites in hard hats and safety shoes!\n\n**Our Ask**\n\nIf you or a construction contractor/sub-contractor you know struggles with site safety and operator performance,[ book a meeting](https://calendly.com/jash-mota/flywheel-sales) to learn more about our solution and installation process!\n\nCall us at 415 714 7580 or email at [contact@useflywheel.ai](mailto:contact@useflywheel.ai)", "url": "https://www.ycombinator.com/launches/O8i-flywheel-ai-waymo-for-excavators", "votes": 161, "created_at": "2025-08-06T22:34:27.016Z" } ] }, { "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": 30795, "name": "NOSO LABS", "slug": "noso-labs", "former_names": [ "Noso Labs", "CERE AI", "CERE AI(NOSO LABS)", "CERE AI (NOSO LABS)", "CERE (NOSO LABS)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/65242d9e142c66d4afe70eb47ebf05c1dcff789c.png", "website": "https://noso.so", "all_locations": "San Francisco, CA, USA", "long_description": "In the home services industry, field technicians are expected to handle three key tasks: diagnosing issues, making sales, and completing paperwork. It's rare to find individuals who excel at all three. 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$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": 30821, "name": "Efference", "slug": "efference", "former_names": [ "Remnant Robotics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/54d1482241918ee48c1c994945fd8c443280d29b.png", "website": "https://efference.ai", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "", "team_size": 12, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1762259214, "tags": [ "Robotics", "Computer Vision" ], "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/efference", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/efference.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://x.com/EfferenceAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/54d1482241918ee48c1c994945fd8c443280d29b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1945409, "full_name": "Gianluca Bencomo", "title": "Founder/CEO", "founder_bio": "-", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gianluca-bencomo-326469133", "x_url": "https://x.com/gianlucabencomo/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/abf3b37c947d65d07ff29aff6adf54e459eb04ac.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95175, "title": "Efference - Helping robots see like humans do", "tagline": "Efference is building the most intelligent robotic camera on the market -- at half the cost. ", "body": "![uploaded image](/media/?type=post&id=95175&key=user_uploads/1945409/8214e17c-76b2-4c77-9b83-f11af13ff298)\n\nHey YC, I’m Gianluca. I’m building robotic cameras (stereo cameras) that treat vision as a software problem, not a hardware problem – just like humans do.\\\n\\\nWe are actively taking pre-orders with delivery in March: https://efference.ai/preorder\n\n[**https://youtu.be/0v0p2t3y4fI**](https://youtu.be/0v0p2t3y4fI)\n\nMany robotics founders that I talk to are frustrated with current stereo cameras. They are expensive, require calibration, and still produce unreliable depth measurements despite their costs. Vision shouldn’t be an additional bottleneck when training robotic policies is already hard enough.\n\nOur insight is that humans don’t have precise sensors: our eyes are noisy and imprecise but we run extremely sophisticated algorithms on top of them. Robotics already embraced this philosophy for arms (_cheap hardware + great algorithms_ → \\[Zhao et al., 2023\\]). We’re applying it to cameras by developing better algorithms.\n\nWhat we built:\n\n* A 3D perception model that combines stereo triangulation + learned priors about objects and environments.\n* It runs in real time (unlike current neural depth approaches).\n* We are distilling the model into our own hardware and shipping model wrappers for Realsense/ZED cameras so you can run these cameras better.\n\nCheck out the designs (going into production soon):\n\n[**https://www.youtube.com/watch?v=oOmf4k2ZwaY**](https://www.youtube.com/watch?v=oOmf4k2ZwaY)\n\n**Does it work?**\n\nSelf-Driving: [**https://www.youtube.com/watch?v=0f058JAk64A**](https://www.youtube.com/watch?v=0f058JAk64A)\n\nRobotic Manipulation (via Functional Manipulation Benchmark): [**https://www.youtube.com/watch?v=GyV12gqGOMY**](https://www.youtube.com/watch?v=GyV12gqGOMY)\n\nAnd many more demos coming to the YouTube channel: [https://www.youtube.com/@Efference](https://www.youtube.com/@Efference%5C)\n\n**Why do we need this?**\n\nConverting a vehicle to full autonomy can cost upwards of **$100,000**. The economics are terrible: the sensor stack dominates lifetime cost, keeping cost-per-mile high and slowing deployment. A stereo-vision stack like ours cuts that cost by **10–100×**. Lower integration cost → cheaper replacements → larger fleets → autonomy that scales. We know we can drive a car using a stereo camera because that is what humans use. It’s just a matter of getting the camera to work as well as the one humans have.\n\nThe same dynamic applies to humanoids, perhaps at an even greater scale. Companies like Unitree ship tens of thousands of robots every year, all with stereo cameras, and consumers often complain about quality. We’re building a camera that is both **affordable and usable**, so teams can actually build with it. As humanoid production scales to millions of units per year, we hope to be the camera that scales with it.\n\nIn urban drone environments, GPS fails. Reliable RGB-D depth enables SLAM, safe navigation, and collision avoidance; critical for companies like Skydio operating in urban valleys. Again, drones are another vertical that requires thousands of cameras per year that are cheap and effective.\\\n\\\n**Additional Background**\n\nAny two-dimensional image is consistent with an infinite number of possible 3D worlds. “Seeing” is not just recording sensory input but resolving ambiguity; selecting the _most probable_ world given the available evidence **\\[Born & Bencomo, 2021\\]**.\n\nHumans and nearly every other mammal have evolved the same solution to this problem over the past 500 million years of evolution: stereo triangulation + data-driven inference. We integrate every available depth cue – shadows, perspective, occlusions, and much more – along with what we know about objects and the environment to accurately represent 3D scenes and act accordingly.\n\nRobots do not do this, but they need to.\\\n\\\n**Team**\n\n![uploaded image](/media/?type=post&id=95175&key=user_uploads/1945409/2474fb24-fae7-4604-a549-2a875fad6452)\n\nI spent the past four years at Princeton (on-leave from PhD) studying foundational topics in machine learning and neuroscience. I funded my research by writing two successful NSF grants to build biologically-inspired vision models based on the **fruit fly connectome** where the general research direction for myself and certainly my collaborators was the question of **“how do we make this fruit fly live inside a computer simulation?”**\n\nPrior to Princeton, I spent two years at Harvard Medical School studying visual decision-making in primate models and publishing influential theoretical work on **dopamine’s role in schizophrenia and its effects on visual perception**. I did my undergraduate degree in Biochemistry and got to do some cool non-vision work at the NASA Jet Propulsion Laboratory, figuring out a **new way of converting CO2 into O2 on Mars** that recycled water and did not require heat (e.g. MOXIE).\n\nGenerally, I like to work on really hard problems.\n\n**The Ask**\n\nIf you’re a roboticist, I’d love to learn what vision requirements matter most to you. If you know teams in autonomous vehicles, drones, or humanoid robotics, and believe this product is cool, sharing / intros would mean a lot.\n\nWe are actively taking pre-orders with delivery in March: https://efference.ai/preorder\n\nThank you — Gianluca.\n\n**\\[Born & Bencomo, 2021\\] [https://karger.com/bbe/article-abstract/95/5/272/47302/Illusions-Delusions-and-Your-Backwards-Bayesian](https://karger.com/bbe/article-abstract/95/5/272/47302/Illusions-Delusions-and-Your-Backwards-Bayesian)**\n\n**\\[Zhao et. al., 2023\\] [https://arxiv.org/abs/2304.13705](https://arxiv.org/abs/2304.13705)**", "url": "https://www.ycombinator.com/launches/Ol5-efference-helping-robots-see-like-humans-do", "votes": 122, "created_at": "2025-11-04T22:53:53.320Z" } ] }, { "id": 30881, "name": "Wardstone", "slug": "wardstone", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/12a498451818daa71ba01c88400ac7f241e33a03.png", "website": "https://www.wardstone.us", "all_locations": "Los Angeles, CA, USA", "long_description": "Wardstone builds a low-cost, modular interceptor platform for air and missile defense. 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"https://www.ycombinator.com/companies/wardstone/jobs/kOxrx3O-technical-program-manager", "location": "El Segundo, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117412, "title": "Avionics Technician", "url": "https://www.ycombinator.com/companies/wardstone/jobs/2Cri5XL-avionics-technician", "location": "El Segundo, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117413, "title": "Mechanical Technician", "url": "https://www.ycombinator.com/companies/wardstone/jobs/QdOCjsL-mechanical-technician", "location": "El Segundo, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117414, "title": "Operations and Logistics Associate", "url": "https://www.ycombinator.com/companies/wardstone/jobs/oD6arcZ-operations-and-logistics-associate", "location": "El Segundo, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117415, "title": "Supply Chain Manager", "url": "https://www.ycombinator.com/companies/wardstone/jobs/adts588-supply-chain-manager", "location": "El Segundo, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117416, "title": "Head of Manufacturing", "url": "https://www.ycombinator.com/companies/wardstone/jobs/nWEQ2kq-head-of-manufacturing", "location": "El Segundo, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117456, "title": "MBA Intern - Missile Defense", "url": "https://www.ycombinator.com/companies/wardstone/jobs/oD9vGAc-mba-intern-missile-defense", "location": "El Segundo, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117457, "title": "Avionics Engineer", "url": "https://www.ycombinator.com/companies/wardstone/jobs/vJZ96sk-avionics-engineer", "location": "El Segundo, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95440, "title": "Wardstone: Satellites for Missile Defense", "tagline": "Introducing New Space Defense Capabilities for America's Golden Dome", "body": "# **Introduction**\n\nHi YC,\\\n\\\nWe are [Tobias ](https://www.linkedin.com/in/tobifischer/)and [Sebastian](https://www.linkedin.com/in/sebafischer/). Cofounders (and brothers!) of [Wardstone](https://www.wardstone.space/).\\\n\\\n**TL;DR:** Wardstone builds satellites for missile defense. We are pursuing an emerging \\~$40B/year space defense market as part of America’s Golden Dome initiative. Tobias studied Mechanical Engineering at Cornell and worked at Astranis. Sebastian studied Aerospace Engineering at MIT and worked at NASA, Lockheed Martin, Amazon, and Cruise. We built and demoed a live ground-based missile intercept during YC.\n\n# **Launch Video**\n\nCheckout the automated missile defense system we built during YC:\n\nhttps://youtu.be/jXABTM9GZ6s\n\n# **About Wardstone**\n\nWardstone builds space-based interceptors: satellites with interceptors designed to kinetically destroy missiles. New space threats, specifically hypersonic missiles, are emerging as existential threats to the United States. Our current missile defense systems were not designed for this new offensive technology. The United States’ Congress has allocated \\~$25B towards developing new on-orbit hypersonic missile defensive missile capabilities over the next 3 years. Follow on build out of this on-orbit defensive layer coined the _Golden Dome_ has been estimated by congress to cost up to $831B over the next 20 years.\\\n\\\nAt Wardstone, we believe that we can build defensive missile capabilities for a fraction of the cost of the offensive hypersonic weapons themselves, and orders of magnitude cheaper than the defensive concepts being proposed/explored by the major defense primes. We will do this with our first product, Hailstorm, that deploys high speed clouds of buckshot to kinetically destroy hypersonic missiles.\n\nOur integrated interceptor-satellite constellation provides global intercept capabilities from space for various missile types beyond hypersonics. \\\n\\\nThe success of Wardstone and the full deployment of the Golden Dome will place the United States in an incredibly strong geopolitical position.\n\nThe full Wardstone constellation with the space based intercept capability in action will look like this:\n\n![uploaded image](/media/?type=post&id=95440&key=user_uploads/2077453/f2a877a7-c23c-438d-8714-5a854930bba2)\n\n# **Our Progress During YC**\n\nDuring YC we had 2 main objectives: 1) build our first missile intercept demo and 2) establish relationships with our main customer: the US Space Force.\\\n\\\n**The Intercept Demo**\\\nWe built a fully automated missile tracking and intercept system that uses infrared computer vision for predicting the future missile position and a high pressure air cannon to deploy an interceptor to destroy a 150+ mph missile. Our system provided repeatable behavior, could adapt to different missile speeds, and destroyed a total of 3 missiles. Checkout he video above for the entire story and insights into our system. Highlights below:\n\n![uploaded image](/media/?type=post&id=95440&key=user_uploads/2077453/c1d9b5df-8297-4a8a-aec8-a8529cb805e8)\n\n![uploaded image](/media/?type=post&id=95440&key=user_uploads/2077453/4ea3e37d-2172-4627-bd54-67a1f2374fe3)\n\n**Space Force and Other Department of War Relationships**\\\nWe built relationships and engaged with multiple agencies inside the military including: Air Force Research Labs, AFWERX, Space Systems Command Commercialization Office, Space Safari, and the Navy’s Joint Special Operations Command. We are receiving letters of support for an Air Force $3MM Space Based Interceptor SBIR grant and are receiving inbound requests for additional use cases of our technology (Ground to Air, Space to Ground).\\\n\\\nWe have also engaged with five satellite bus and sounding rocket providers to integrate our Space Based Interceptors for our Series A demo milestone.\\\n\\\nIf Space Defense Technology resonates with you, please reach out: [founders@wardstone.space](mailto:founders@wardstone.space).\n\n![uploaded image](/media/?type=post&id=95440&key=user_uploads/2077453/129abf15-7925-4374-9279-d48e58da1fa2)\n\n---", "url": "https://www.ycombinator.com/launches/OpM-wardstone-satellites-for-missile-defense", "votes": 25, "created_at": "2025-11-12T06:56:19.257Z" } ] }, { "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": 30904, "name": "Tensr", "slug": "tensr", "former_names": [ "Core", "Tensr", "Core" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f3743327b1fc85ded6caddbd532e0c600eb2cb0.png", "website": "https://tensr.com/", "all_locations": "Emeryville, CA, USA", "long_description": "Robotic factories that build robotics in the US. Currently operating a 12,000 sqft factory in the Bay Area and actively manufacturing customer orders for some of the largest robotics companies in the US and the International Space Station.\r\n\r\nWe’re a group of Berkeley graduate robotics researchers who previously won a full scale autonomous IndyCar competition at 160mph.", "one_liner": "Robotic factories that build robots", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1763065446, "tags": [ "Deep Learning", "Hardware", "Robotics", "Automation", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tensr", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/tensr.json", "year_founded": 2025, "city": "Emeryville", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tensrinc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f3743327b1fc85ded6caddbd532e0c600eb2cb0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2763027, "full_name": "Eric Berndt", "title": "Founder/CEO", "founder_bio": "Robotic factories that build robots in the US. Prev Robotics researcher @ UC Berkeley where I raced autonomous Indy500 cars at 160mph", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ekberndt/", "x_url": "https://x.com/ekberndt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8136fef854af650d0b22ac083d6585e09121a8ed.jpg" }, { "user_id": 916548, "full_name": "Adith Sundram", "title": "Founder/CTO", "founder_bio": "Founder @ Tensr. Robotics, ML and Controls @ UC Berkeley", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adithsundram", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dd20d8f9a84f4b33da6805740257605ff2175494.jpg" }, { "user_id": 2763062, "full_name": "C.K. Wolfe", "title": "Founder", "founder_bio": "Founder, Tensr. CS PhD (AI, Robotics), UC Berkeley. Former Technical Program Manager, UC Berkeley robotics lab under Berkeley AI Research (BAIR). Secured $17M+ in DARPA and industry sponsorship across Stanford and UC Berkeley via AI Racing Tech (2024). Team Manager during top-ranked U.S. league season. Editor-in-Chief of UC Berkeley BAIR’s official AI research publication (BAIR Blog).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ckwolfe/", "x_url": "https://x.com/ckwolfeofficial", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9656e4b1ee0b0c58c5a7df8df5bcb18614685e68.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 112228, "title": "Tensr - Robotic Factories that Build Robots from Humanoids to Robots for the International Space Station", "tagline": "Robotic Factories that Build Robots", "body": "Robotic factories building robots. Today we have a 12,000 sqft factory in the Bay Area manufacturing everything from full humanoids to robots for the International Space Station.\n\nOur thesis: Revitalizing domestic manufacturing means driving costs down through automation. We are building an autonomous factory that is able to autonomously process a new order end to end from prototyping to large batch production. That means supply chain management, design for manufacturing, industrial machine retooling, robotic adaptation, quality inspection, packaging, and logistics all automated. Goal: Create a factory that can autonomously go from placed customer order to completed unit scale manufacturing run in 24 hours.\n\nWe are currently manufacturing production runs from top labs, full humanoids, and even have a partnership to manufacture robotics for the International Space Station. We've also built supply chain relationships in electronics, actuators, SMT, computing, pneumatics, and raw material suppliers.\n\nA snippet of some of our machines in the factory:\n\n![uploaded image](/media/?type=post&id=112228&key=user_uploads/2763027/777065e0-e83d-4501-8799-8c490e883851)\n\n![uploaded image](/media/?type=post&id=112228&key=user_uploads/2763027/30775e59-e171-4949-b959-3dc06ffa5322)\n\n## **Manufacturing at the Core**\n\nThis isn't just a robotic manipulation company. Its a manufacturing company.\n\nInternally we have pipelines autonomous building large databases of actuators, and raw tracking and trying to predict what items will need to order now to meet our next day targets.\n\n## **The Harness**\n\nThe entire factory is a data harness we can \"backprop\" learnings through from errors in the customer designs, failed supply chain prediction, slow retoolings, to inaccurate robotic manipulation. Our core belief is that robotic machine learning should not rely on human data to scale but instead learn to improve from its own mistakes in the real world in real time. This closes the manufacturing data gap that currently limits large-scale factory automation.\n\n![uploaded image](/media/?type=post&id=112228&key=user_uploads/2763027/2baf7c74-80e3-49bb-a6bf-712ce0fb30fc)\n\n![uploaded image](/media/?type=post&id=112228&key=user_uploads/2763027/4ed0acb3-e1bc-4210-b4d0-b3f3614bc8da)\n\n## **Any Robot Anywhere**\n\nOur thesis is simple. We should be able to make an robot for any environment whether that be a humanoid for the factory floor or a robot for Low Earth Orbit. We currently have a partnership with the ISS to manufacture a robots for the space station.\n\nNASA Houston, Johnson Space Center\n\n![uploaded image](/media/?type=post&id=112228&key=user_uploads/2763027/e4558cfa-cf98-447a-acaf-7e83650e73a7)\n\n## **Team**\n\nAt heart we're a team of Roboticists. Before Tensr we were the leads for a Berkeley lab's autonomous racing team where we raced autonomous full-scale IndyCars at over 160mph as the ML, Sim, and Robotic Controls leads.\n\n![uploaded image](/media/?type=post&id=112228&key=user_uploads/2763027/c3772faa-f515-4ee0-b32e-2e586b3ae8e3)\n\nWe previously worked in industrial automation, aerospace manufacturing, medical device manufacturing, Berkeley AI Research (BAIR), physics simulation, and secured $17M+ in DARPA / industry sponsorship for UC Berkeley / Stanford research.\n\nOur founding engineers range from Berkeley Robotics PhD, ex-NASA, to 10+ years of manufacturing experience.\n\n## A Better World\n\nOn a personal note, not only do I believe we have the opportunity to build a great business but also to make a positive impact on the world. Automate away environmentally harmful materials, eliminate waste 0.1% at a time, and drive steady-state COGS toward only the fundamental inputs (materials and electricity), unlocking strong margins while collapsing the price of everyday goods / cost of living.\n\nLets build a better world :)\n\nA full view of our vision here:[ tensr.com/whitepaper](https://www.tensr.com/whitepaper)", "url": "https://www.ycombinator.com/launches/TC8-tensr-robotic-factories-that-build-robots-from-humanoids-to-robots-for-the-international-space-station", "votes": 6, "created_at": "2026-08-25T21:00:00.441Z" }, { "id": 95506, "title": "Tensr: Building Autonomous Robotic Factories", "tagline": "Building fully autonomous robotic factories that make scaling hardware as effortless as scaling on AWS", "body": "We're building fully autonomous robotics factories at Tensr to create the AWS of manufacturing. Our factories will receive on-demand orders from customers and spin up robots to operate industrial machinery, package, and ship the finished product all in 24 hours.\n\n![uploaded image](/media/?type=post&id=95506&key=user_uploads/2763027/704a7eb3-1ffc-4fc3-b806-32f3fd256418)\n\n[**https://youtu.be/HLijIfoDfpA**](https://youtu.be/HLijIfoDfpA)\n\n**Problem**\n\nMoving fast in manufacturing today doesn't exist. Iterating designs for manufacturing takes months of back and forth getting samples from China and pre-ordering manufacturing capacity several months before the holiday rush, only then to wait several weeks for shipping praying there isn't a strike at the docks. At the same time we see the complete collapse of America industrial capacity as American workers and experience leave the field and contracts are sent overseas.\n\n**Solution**\n\nWith the robotics revolution, for the first time it is possible to fully reimagine the factory floor - moving from rigid lines to modular stations, even in high mix settings. However, we believe that automating manufacturing is more than just deploying a foundation model or a humanoid into an existing factory.\n\nFactories need to be designed from the ground up _around_ robots, not the other way around.\n\nOver the past few weeks we turned our living room into an autonomous factory floor, with stations for CNC, moving stock, and a focus on assembly. After demo day, we'll expand to a full manufacturing facility, and start supporting batch orders of all sizes from other companies throughout the country. Currently we also are in talks to provide our own assembly models to other distributors.\n\n![uploaded image](/media/?type=post&id=95506&key=user_uploads/2763027/706f70f4-47a7-4466-8281-5cf6d081da43)\n\n![uploaded image](/media/?type=post&id=95506&key=user_uploads/2763027/e6420b31-3e74-49d3-b751-c901c5379665)\n\n**Team**\n\nWe're a battle-hardened team of UC Berkeley graduate robotics researchers (from Berkeley AI Research (BAIR)) who met in a lab, previously worked on and managed multiple DARPA contracts and led an autonomous IndyCar team where we raced full scale autonomous Indycars at 160mph (250kmh) as the Machine Learning, Simulation/Team Manager, and Robotics Control leads respectively.\n\n\\- [Eric Berndt](https://x.com/ekberndt) - MS/BS EE/CS, UC Berkeley, CoFounder + CEO\n\n\\- [Adith Sundram](https://www.linkedin.com/in/adithsundram/) - MS/BS ME, UC Berkeley, CoFounder + CTO\n\n\\- [C.K. Wolfe](https://x.com/ckwolfeofficial) - Current PhD AI/Robotics, UC Berkeley, CoFounder\n\nIn addition, our team brings direct operational experience from Rockwell Automation (industrial automation), aerospace manufacturing, and FDA-regulated medical-device production\n\n![uploaded image](/media/?type=post&id=95506&key=user_uploads/2763027/f907544d-cb70-45d2-b043-708a6739e40c)\n\n**Our Ask**\n\nWe're offering early manufacturing / prototyping pilots for hardware companies of all sizes as the new year starts and we open our first facility. If you or anyone you know fits in this bucket, reach out to [**founders@tensr.com**](mailto:founders@tensr.com)!\n\n![uploaded image](/media/?type=post&id=95506&key=user_uploads/2763062/4e53c620-4423-4e57-b0cf-a25b750d0539)\n\n", "url": "https://www.ycombinator.com/launches/OqQ-tensr-building-autonomous-robotic-factories", "votes": 365, "created_at": "2025-11-14T01:26:45.320Z" } ] }, { "id": 30923, "name": "Frontier Computing", "slug": "frontier-computing", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a10237e5548f0937c67885cb916abadcaa74cc08.png", "website": "https://frontier.site", "all_locations": "London, England, United Kingdom", "long_description": "Frontier is first to grow biological brains at scale, serving biological neural nets with substrate-level colocation of memory and compute, enabling highly cost effective training of large parameter count models.\r\n\r\nWhile academia has traditionally been limited to ~1M neurons in vitro, Frontier has built a pathway to scale to 100M+ neurons by circumventing traditional scaling challenges in biological culture, demonstrating this strategy's functionality by training a biological brain using this scaling primitive to play Frogger.\r\n\r\nFrontier is now growing exascale compute clusters to produce substrates capable of long-horizon language reasoning while operating at much higher sample efficiencies than traditional architectures, and collocating memory with compute to enable significantly larger parameter counts than would be tractable for training within traditional compute clusters.", "one_liner": "Frontier grows scalable biological brains as an ML training substrate", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1788161513, "tags": [ "Hard Tech", "Hardware", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials" ], "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/frontier-computing", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/frontier-computing.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a10237e5548f0937c67885cb916abadcaa74cc08.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 2627752, "full_name": "Michael Domarkas", "title": "Founder/CEO", "founder_bio": "19 y/o growing exascale brains for continual learning\n\nprev growing brains in my bedroom", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michael-domarkas", "x_url": "https://x.com/MichaelDmrks", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dbc0487122f2a39f809799e732a7b1e3cb67b540.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 112791, "title": "Frontier Computing – Growing biological brains at scale", "tagline": "We colocate memory with compute in biological tissue, so you can train larger models at lower cost", "body": "TL;DR – We're deploying exascale biocomputing clusters, growing biological systems with memory baked into compute at the substrate level, enabling training of models at parameter counts that would otherwise be inaccessible under traditional GPU architecture-constrained approaches.\n\n![uploaded image](/media/?type=post&id=112791&key=user_uploads/2627752/445c283b-feb2-4b6b-9d2c-ab2cf60edc7d)\n\nHey all, we're Frontier Computing, and we’re excited to announce that we are growing the first large-scale neuronal tissues for ML training and inference!\n\nFrontier is launching its 500M biological neurone cluster by January 2027, which will be 2500x larger than the next-largest publicly available system in the biocomputing space that companies are currently restricted to building on. \\\n\\\nWe'll continue to launch increasingly larger iterations of our substrate to circumvent the challenges of GPU parallelisation seen in roofline analysis across computation/computation/memory, colocating memory with compute in biological neurones to circumvent the infra problem of GPU networking for model training and inference, enabling inference time training at scale on biocompute, at much lower cost than traditional GPU approaches.\n\n# **❌** The Problem\n\nBiological brain tissue is already being bought and sold, including being trained for a range of tasks from gaming environments to next-token prediction, but the scaling limits of the underlying wetware have acted a fundamental barrier to useful economic output.\n\nAcademia has previously been unable to exceed a \\~1M neurone scale due to \"the vascularisation problem\", where neurones cannot grow past a geometric limit imposed by insufficient oxygen access in cells that are increasingly far away from active supply.\n\n# **✨** Our solution\n\nFrontier has developed a novel neuronal tissue culture approach to engineer large-scale brain systems that exceed traditional scaling limits of neuronal tissue culture.\n\nThis enables us to scale past traditional wetware substrate sizes, supporting much larger biological neural nets with correspondingly greater parameter counts, increasing the complexity of task environments these systems can represent, and using their larger geometric size to provide physically larger surfaces for I/O and informationally rich encode and decode.\n\nWe provide the substrate, interfacing and cloud infrastructure to enable third parties to train on our systems, taking advantage of the inference-time training capacities of biological neurones, the sample efficiency, the capacity to exist in an abstraction layer above backprop, and the opportunity to perform RL on models in excess of sizes that would be traditionally accessible on GPU hardware due to memory bandwidth issues that we circumvent through colocating memory and compute within neuronal tissues.\n\n## **🏆** What we've achieved so far\n\n\\- We have proven out the first scalable culture system for biocompute, and demonstrated its computational capacities by training our system to play the arcade game Frogger\n\n\\- Demonstrated tail-end capabilities in sample efficiency, with 1 hour of real-time learning producing 92% peak cross rate (over a 25-game sample) in our Frogger environment\n\n\\- Raised a 10M pre-seed round to produce early scale up our team and wetlab work, led by General Catalyst with participation from LocalGlobe, Amino Collective, Kaya, Long Journey Ventures, Off Piste Capital, SVA and more angels and firms that we are very excited to have on board\n\n\\- Begun build out of a 100M and a 500M biological neurone system, live EOY 2026\n\n## **🔜** What's next\n\n\\- Demonstrating SOTA task performance of biohybrid models using our larger-scale substrates\n\n\\- Launching our API library to enable our customers to implement their own models and RL environments via our platform\n\n\\- Iterating towards post-neocortex-scale build outs to further enhance computational capacities of biocompute\n\n## **👥** Our Team\n\n[Michael](https://www.linkedin.com/in/michael-domarkas/), CEO, is a Cambridge Natural Scientist who first learnt programming at 8 through C# Unity game development, competed in maths/chess/bio competitions nationally throughout high school, and has been culturing neuronal tissues for the past two years, starting from $20K USD in grant funding at 17 from Emergent Ventures. He has built the first scalable neuronal culture platform for biocomputation and validated performance via reinforcement learning on this substrate.\n\n## **🙏** Asks\n\nJoin the team! We're hiring across the stack for neurobiologists, RL researchers, electrical engineers, and biochemists, accepting both direct applications and referrals. Feel free to get in touch at the link below:\n\n\n\nIf you're interested in working at the _frontier_ of biocomputing and scaling the fundamental wetware primitives humanity has access to, Frontier Computing is building out the leading platform in the space. We’re looking forward to collaborating with you.", "url": "https://www.ycombinator.com/launches/TLD-frontier-computing-growing-biological-brains-at-scale", "votes": 21, "created_at": "2026-08-31T17:00:00.185Z" } ] }, { "id": 30928, "name": "Darwin", "slug": "darwin", "former_names": [ "Thesis Labs", "Thesis", "Darwin", "Thesis" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/834b16b30c5de79bf9dbcd0a4819289bfa937936.png", "website": "https://darwinrobotics.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Darwin Robotics creates general-purpose robots to build and maintain the machines civilization runs on.\r\n\r\nWe're starting with AI infrastructure, where skilled technicians perform a long tail of physical work across assembly, installation, commissioning, and maintenance. Our robots learn new tasks from demonstrations rather than being explicitly programmed for each workflow.\r\n\r\nFirst deployments are planned for early 2027.", "one_liner": "Robots to build civilization", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1762476616, "tags": [ "Hard Tech", "Machine Learning", "Robotics", "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" ], "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 are brothers and have been building things together our whole lives. We grew up in the Caribbean with our mom, obsessed with math and computers. Sergio taught himself calculus from MIT OpenCourseWare at 12, published mathematics as a teenager, and later worked on AI and robotics at Stanford, Nvidia, and Google X. Luigi studied math and CS at Columbia, then co-founded a payments company where he scaled engineering from zero to billions in transaction volume.\r\n\r\nAs kids, we built worlds in Minecraft. Now, we’re building robots." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "We sit at the dawn of a new era in civilization. AI is beginning to solve problems across science and mathematics that were previously impenetrable. Yet this intelligence is still largely confined to the screen.\r\n\r\nWe believe the next frontier is physical. Our goal is embodied artificial general intelligence.\r\n\r\nWhen we succeed, billions of intelligent robots will work alongside humans, performing useful work and expanding what humanity is capable of." } ], "url": "https://www.ycombinator.com/companies/darwin", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/darwin.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/darwin-robotics-inc", "x_url": "https://x.com/darwin_robotics", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Darwin-Robotics-Inc", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/834b16b30c5de79bf9dbcd0a4819289bfa937936.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/415cd09f20efd72acec243c4e7b73ccb3b01cd35.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 455353, "full_name": "Sergio Charles", "title": "Founder/CEO", "founder_bio": "Robots to build civilization. Prev: AI R&D at Google X, NVIDIA, and Stanford AI Lab, working with Chelsea Finn on autonomous RL for robotics and Andrew Ng on computer vision. Stanford B.S. Math & CS, M.S. Stats.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sergio-charles-5a8052134/", "x_url": "https://x.com/eigentopology", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ba455346463b0d6acae18a8bcd3d2bba294bfdb5.jpg" }, { "user_id": 1021038, "full_name": "Luigi Charles", "title": "Founder", "founder_bio": "Building Westworld. Previously founded a fintech payments startup, scaling volume from zero to billions. Columbia CS & Math.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/luigicharles", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca6e645d2ffabef7f901b4d6e1aec82d02f81657.jpg" } ], "jobs": [ { "id": 96229, "title": "Member of Technical Staff, AI & Robotics", "url": "https://www.ycombinator.com/companies/darwin/jobs/R8xvEoc-member-of-technical-staff-ai-robotics", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$120K - $170K", "equity_range": "0.75% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "C++", "Git", "Python", "Torch/PyTorch", "Machine Learning", "Deep Learning", "Reinforcement learning (RL)", "CUDA", "Microcontrollers", "Diffusion Models" ] } ], "news": [], "launches": [ { "id": 95309, "title": "δ Thesis: Building the frontier of AI discovery", "tagline": "Making it possible for researchers anywhere to discover the next Transformer or invent the next AlphaFold.", "body": "Thesis is an applied AI lab accelerating the frontier of AI discovery.\n\nWe're making it possible for researchers anywhere to discover the next Transformer or invent the next AlphaFold.\n\n**Mission**\n\nOur mission is to make state-of-the-art AI discovery 10x faster and 10x cheaper. The big labs are racing to get there, but their need to productize and turn a profit has already weighed them down. Thesis embraces rapid experimentation and novel fundamental research. Our singular focus, outcome-driven mindset, and early results give us confidence that we can get there first.\n\n**Results**\n\nThesis is state-of-the-art on OpenAI’s Machine Learning Engineering benchmark ([MLE-Bench](https://github.com/openai/mle-bench?tab=readme-ov-file#mle-bench)).\n\nMLE-Bench tests how well AI systems can train ML models autonomously, a first step toward self-improving systems. We achieved this result in the record time of 1 month and with only $10k in compute. Agents will get you far, but not far enough. Our methods mix old school with new, and have already outperformed teams of researchers at Microsoft, Google, Meta, and Baidu.\n\n![uploaded image](/media/?type=post&id=95309&key=user_uploads/455353/310c8083-1512-40c3-8e31-c1cc941f3634)\n\n**Team**\n\nLuigi and Sergio are brothers. Back in 2021, Sergio [wrote about a future where AI could create its own algorithm](https://cs229.stanford.edu/proj2021spr/report2/82285254.pdf)s. With today's foundation models, that future is suddenly within reach.\n\nSergio worked on AI R&D at Google X, Nvidia, and Stanford’s AI Lab (SAIL). He has published work at NeurIPS and ICML, and has worked with Chelsea Finn and Andrew Ng.\n\nLuigi built Sphere, a fintech company that processes billions of dollars every year in global cross-border payments. Sphere was recently valued at $250 M+ in its Series A round.\n\n**10 Year Vision**\n\nThe holy grail of AI is building self-improving systems that, guided by human creativity, enable breakthroughs and new paradigms achieving state-of-the-art results under resource constraints.\n\nIn the limit, our engine will expand beyond ML to every domain of science, from computational biology, to theoretical mathematics and physics. Thesis will autonomously discover new knowledge and become the driving force behind humanity’s scientific progress.\n\n**Our Ask**\n\nWe collaborate with leading institutions, startups, and independent researchers around the world. If you’re interested in what we’re building, please get in touch: \\[[ask@thesislabs.ai](mailto:ask@thesislabs.ai)\\](mailto:[ask@thesislabs.ai](mailto:ask@thesislabs.ai))", "url": "https://www.ycombinator.com/launches/OnF-thesis-building-the-frontier-of-ai-discovery", "votes": 232, "created_at": "2025-11-11T16:40:14.609Z" } ] }, { "id": 30930, "name": "Cortex AI", "slug": "cortex-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c9246b8eba5ba12a7373a930ea46cc687dddb98.png", "website": "https://cortexrobot.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Cortex AI builds the world’s most diverse and large-scale real-world workplace robot & egocentric dataset — where the physical world becomes the next training and evaluation set for embodied AI.\r\n\r\nWe power frontier labs developing robotics foundation models and general-purpose robots by providing the data they need:\r\n1️⃣ Egocentric Data — real-workplace human video with hand/body pose, depth, and subtask labels.\r\n2️⃣ Robot Data — trajectories collected from manipulators and humanoids in real industry settings.\r\n3️⃣ Human-in-the-Loop Rollouts & Evals — real-world deployments with remote operators who recover robots when they fail, capturing data that feeds back into training and continuously improves models.\r\n\r\nAdditionally, through the Cortex Marketplace, workplaces get paid to host data-collection and evaluation sessions, while labs access the in-the-wild data that truly matters. This draws on Lucas’s previous experience as co-founder of Carousell, a C2C marketplace that scaled to a $1B+ valuation.", "one_liner": "Large-scale real-world robot & human data for embodied AI", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1760045430, "tags": [ "Reinforcement Learning", "Robotics", "AI" ], "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", "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/cortex-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/cortex-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cortexairobot", "x_url": "https://x.com/cortexairobot", "fb_url": null, "cb_url": null, "github_url": "https://github.com/cortexairobot", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c9246b8eba5ba12a7373a930ea46cc687dddb98.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": 53734, "full_name": "Lucas Ngoo", "title": "Founder/CEO", "founder_bio": "Founder and CEO of Cortex AI. We're building the world's most diverse real-world, real-workplace, and industry-scale egocentric + robot dataset. Prior to Cortex AI, Lucas was the co-founder and CTO of Carousell (valued at $1B+).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucasngoo", "x_url": "https://x.com/lucasngoo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1b1f0f258b2fb62b1c7c32ca14e38ec0350b7ff4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95318, "title": "🦾 Cortex AI — Large-Scale Real-World Data for General-Purpose Robotics", "tagline": "Turning the real physical world into the next dataset for general-purpose robotics.", "body": "We’re building the world’s most diverse _real-world, real-workplace_ egocentric + robot dataset — where the **real physical world itself** becomes the next training and eval set for embodied AI.\\\n\\\n🌍 **The Problem**\\\nMost robotics datasets today are captured in lab environments or simulated settings — far removed from the **real physical world** where robots actually need to operate.\\\n\\\nThese datasets helped build the foundation models we have today, but the **next phase** of embodied AI needs to learn directly from the real world — from the noise, diversity, and complexity of real workplaces.\\\n\\\n🤖 **The Solution**\\\n\\\nFrontier labs use **Cortex AI** through 3 stages:\\\n1️⃣ **Get real-world egocentric data** → for world model + robotics foundation model pretraining\\\n2️⃣ **Collect real robot data** in real workplaces\\\n3️⃣ **Roll out policies** across real-world environments → the best evals happen in the real world, with our operators providing human-in-the-loop support to capture recovery data\\\n\\\nhttps://youtu.be/HD-weWSzy4Y\n\n\\\n🏭 **Cortex Marketplace**\\\nWe’re also launching the **Cortex Marketplace**, where _real workplaces get paid_ to host egocentric-capture and robot-teleop sessions — fueling a scalable pipeline of high-quality, real-world robotics data.\\\n\\\n👥 **The Team**\\\nPrior to Cortex AI, **Lucas Ngoo** co-founded and served as CTO of Carousell, scaling it from an idea into a $1B+ valuation marketplace used across Asia.\\\n\\\n🙏 **Our Ask**\\\nIf you work with or know teams at **frontier robotics labs** (humanoid companies, robotics foundation model research groups and teams), please make an intro ([lucas@cortexrobot.ai](mailto:lucas@cortexrobot.ai)) — we’d love to collaborate, thank you!\n\n🔗 [cortexrobot.ai](https://cortexrobot.ai)\\\n📩 [lucas@cortexrobot.ai](mailto:lucas@cortexrobot.ai)\n\n![uploaded image](/media/?type=post&id=95318&key=user_uploads/53734/069d07db-9cdf-4720-96b4-a7077818cb06)\n\n", "url": "https://www.ycombinator.com/launches/OnO-cortex-ai-large-scale-real-world-data-for-general-purpose-robotics", "votes": 20, "created_at": "2025-11-08T15:29:09.944Z" } ] }, { "id": 30947, "name": "Philon", "slug": "philon", "former_names": [ "Philon", "Spatial AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c55c56d8a17e50d5a5504f506e783c2b8c9f8a61.png", "website": "https://philon.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Building open-source general-purpose robots capable of performing unsafe, repetitive or boring tasks.", "one_liner": "General Purpose Robots", "team_size": null, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1761067885, "tags": [ "Robotics", "AI" ], "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/philon", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/philon.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/94854659", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c55c56d8a17e50d5a5504f506e783c2b8c9f8a61.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": 2367289, "full_name": "Alexandros Petkos", "title": "Founder", "founder_bio": "Building General Purpose Robots", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexandros-petkos/", "x_url": "https://x.com/alex_petkos", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2334445a73b87d24bc5aac380f045775e996fc16.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95567, "title": "Spatial AI: Large datasets for robot foundation models", "tagline": "Collecting large-scale real-world data to teach robots how to navigate the world and complete tasks.", "body": "![uploaded image](/media/?type=post&id=95567&key=user_uploads/2367289/61a41a40-748f-4ef4-8196-4b5ca76ef86d)\n\n**Spatial AI** ([**https://spatial-ai.com/**](https://spatial-ai.com/)) is building large datasets for robot foundation models.\n\n**Open Source**: [**https://huggingface.co/datasets/spatial-ai/sea-small**](https://huggingface.co/datasets/spatial-ai/sea-small)\n\n![uploaded image](/media/?type=post&id=95567&key=user_uploads/2367289/5313b99e-aa0b-46d4-b4d4-cd9983bedecd)\n\n**The Problem:**\n\nThe biggest obstacle to bringing robots into everyday life is the software. We need far more capable models to control general-purpose robots effectively and enable them to carry out tasks in the physical world.\n\n![uploaded image](/media/?type=post&id=95567&key=user_uploads/2367289/7a226006-47e9-4c89-bcd2-b09ce89cb241)\n\n**The Solution:**\n\nTo train capable models, we need vast amounts of high-quality data. Our first dataset SEA (Spatial Everyday Activities) is the largest well-curated egocentric dataset of people performing tasks.\n\n**Story:**\n\nI’ve been building humanoids and dynamic robots for nearly a decade, starting in my garage when I was a kid.\n\nhttps://alexandros-petkos.com/humanoid-work\n\nhttps://alexandros-petkos.com/quadruped-work\n\nAlex", "url": "https://www.ycombinator.com/launches/OrP-spatial-ai-large-datasets-for-robot-foundation-models", "votes": 23, "created_at": "2025-11-17T19:55:18.588Z" } ] }, { "id": 30965, "name": "Icarus", "slug": "icarus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/641db1cdc907f274cb944fd6796edc486aa6d653.png", "website": "https://www.icarus.one/", "all_locations": "Los Angeles, CA, USA", "long_description": "Icarus is building the modern-day U-2 spy plane. Our autonomous solar aircraft fly at 60,000 feet for weeks at a time, eventually months and years, above weather and below satellites. They deliver persistent intelligence and connectivity for the military at a fraction of the cost of existing systems. The stratosphere is the forgotten frontier.", "one_liner": "Stratospheric birds for defense", "team_size": 50, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1759599519, "tags": [ "Hardware", "Aerospace", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "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/icarus", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/icarus.json", "year_founded": 2023, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/icarusindustries", "x_url": "https://x.com/henicarus", "fb_url": "https://youtu.be/srWVWG19OXY", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/641db1cdc907f274cb944fd6796edc486aa6d653.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/45b66df3250ad001f948f6fadbc64ac7b238e4ff.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ce10c519656481bb9706dbff7696efcfd518d51e.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 816302, "full_name": "Henry K.", "title": "Founder/CEO", "founder_bio": "Founder & CEO of Icarus. At Orbital, Henry built satellites and helped win a $935M NASA contract to build a space habitat. He saw firsthand how Space is constrained by orbital mechanics. Additionally, he has designed and flown drones for NASA flight sciences, was a finalist in two NASA aerospace design competitions, and previously advised Fortune 500 clients on strategy at Deloitte. He holds an M.S. in Aerospace Engineering from Georgia Tech and a Top Secret SCI clearance.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kwan-henry", "x_url": "https://x.com/henicarus", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/257390481b4aa625bb9681ca4060c4aa11f46da2.jpg" } ], "jobs": [ { "id": 89446, "title": "Senior Electrical Engineer", "url": "https://www.ycombinator.com/companies/icarus/jobs/mkkPiGN-senior-electrical-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$120K - $220K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89447, "title": "Senior Embedded Software Engineer", "url": "https://www.ycombinator.com/companies/icarus/jobs/rB9hg8j-senior-embedded-software-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Embedded systems", "salary_range": "$120K - $220K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89448, "title": "Senior Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/icarus/jobs/UEIwBrH-senior-forward-deployed-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$120K - $220K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89449, "title": "Senior Full Stack Software Engineer", "url": "https://www.ycombinator.com/companies/icarus/jobs/Brx6SmM-senior-full-stack-software-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $220K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89450, "title": "Senior GNC Engineer", "url": "https://www.ycombinator.com/companies/icarus/jobs/SaTMErI-senior-gnc-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$120K - $220K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89451, "title": "Senior Manufacturing Engineer", "url": "https://www.ycombinator.com/companies/icarus/jobs/mmJ5itp-senior-manufacturing-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$120K - $220K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89452, "title": "Senior Mechanical Engineer", "url": "https://www.ycombinator.com/companies/icarus/jobs/NPSWtPv-senior-mechanical-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$120K - $220K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89453, "title": "Senior RF Engineer", "url": "https://www.ycombinator.com/companies/icarus/jobs/eDMowlW-senior-rf-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$120K - $220K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30973, "name": "General Astronautics", "slug": "generalastro", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3d7cf823c4893a350166b41685cc7e72de36fe4d.png", "website": "https://generalastro.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Autonomous robotics for space operations.", "one_liner": "Superintelligent space Robots", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1772084363, "tags": [ "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "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/generalastro", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/generalastro.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/generalastronautics", "x_url": "https://x.com/GenAstronautics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3d7cf823c4893a350166b41685cc7e72de36fe4d.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/81/1774387177-08b81efd6ad44d12fc7e1a071e13a0f4/ad2c074ed39b01f6ca5a7b0c0c44e296.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022732Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=a3fd179e219c3fa33aede068bfee02082e2efea0e8e83dbb153279e8476d706e", "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 2369572, "full_name": "Bram Schork", "title": "Founder/CEO", "founder_bio": "Bram is a Caltech aerospace engineer who founded General Astronautics after building hardware reliability systems for SpaceX's Starlink Lasers, shipping industrial autonomous robots, and developing optical tracking systems at SBIR-funded startups. Microgravity unlocks better pharmaceuticals, semiconductors, and advanced materials. The bottleneck is labor, not science, and robots can solve that now.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bramschork/", "x_url": "https://x.com/bramschork", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6381c9462184e188325dc00ce43202254ebf1126.jpg" } ], "jobs": [ { "id": 116339, "title": "Robotics Controls Engineer", "url": "https://www.ycombinator.com/companies/generalastro/jobs/N0Ya6hT-robotics-controls-engineer", "location": "El Segundo, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $170K", "equity_range": "0.25% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 116340, "title": "Mechanical Engineer", "url": "https://www.ycombinator.com/companies/generalastro/jobs/kfNPWsr-mechanical-engineer", "location": "El Segundo, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $170K", "equity_range": "0.25% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 116735, "title": "Head of Government Business Development", "url": "https://www.ycombinator.com/companies/generalastro/jobs/Jx28HSk-head-of-government-business-development", "location": "El Segundo, CA", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$140K - $170K", "equity_range": "0.25% - 0.50%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116736, "title": "Mechanical Engineering Internship/Co-op (Spring 2027)", "url": "https://www.ycombinator.com/companies/generalastro/jobs/OGY3J3A-mechanical-engineering-internship-co-op-spring-2027", "location": "El Segundo, CA", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$30 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 116737, "title": "Mechanical Engineering Internship/Co-op (Summer 2027)", "url": "https://www.ycombinator.com/companies/generalastro/jobs/HxQR8kq-mechanical-engineering-internship-co-op-summer-2027", "location": "El Segundo, CA", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$30 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 98216, "title": "General Astronautics — Robots for Space", "tagline": "Robots for microgravity research and manufacturing.", "body": "# Launch YC: General Astronautics — Robots for Space\n\n**TL;DR:** General Astronautics builds autonomous robots for research and manufacturing in space. Microgravity unlocks better pharmaceuticals, purer semiconductors, and flawless optical fibers. The bottleneck was never the science, it was the labor to do it.\n\n\n\n**Advantage of Microgravity**\n\nMicrogravity changes what's physically possible. Proteins crystallize with fewer defects, critical for drug development. Semiconductors and optical fibers form without the flaws that gravity creates. Pharma and tech companies are already investing in orbital research.\n\n**The Problem**\n\nBut astronaut time is expensive, and there's not nearly enough of it. On ISS, NASA estimates crew time at $130K per hour. On commercial stations, it's more than three times that. Crews have to sleep, rotate home, and pick and choose which experiments to run. Most of the work that could happen in space simply doesn't.\n\n**The Solution**\n\nWe're building robotic systems that handle laboratory work: pipetting, sample prep, plate handling, reagent mixing, with the precision and autonomy to operate without crew. The goal is simple: make microgravity research and manufacturing scalable, not bottlenecked by how many people you can put in orbit.\n\nOur team comes from SpaceX, Caltech, and Carnegie Mellon. We've spent our careers on robotics, spacecraft systems, and the intersection of both. We started General Astronautics because the limiting factor in space was never the science, it is the capacity to do it at scale.\n\n**The Ask**\n\nIf you have connections to pharma or biotech companies interested in space-based research, whether protein crystallization, biologics, cell culture, or silicon manufacturing, we'd love an intro.\n\nConnect with us: [founders@generalastro.com](mailto:bram@generalastro.com)\n\nX: \n\nLinkedIn: ", "url": "https://www.ycombinator.com/launches/PY8-general-astronautics-robots-for-space", "votes": 15, "created_at": "2026-02-26T19:57:51.987Z" } ] }, { "id": 30987, "name": "Lightberry", "slug": "lightberry", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e293e7e459ca366271fd5317cd8af37ed2cd6625.png", "website": "https://lightberry.com", "all_locations": "San Francisco, CA, USA", "long_description": "We build brains for robots.\r\n\r\nWe work with manufacturers like Unitree to make robots listen, speak, and act. You can program your robot out of the box by literally talking to it, no coding involved.\r\n\r\nRobots running Lightberry are emotionally intelligent, always on, and fully autonomous. Just like in Star Wars!", "one_liner": "Robots with soul", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1761343459, "tags": [ "Hard Tech", "Hardware", "Robotics", "Design", "Conversational 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" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lightberry", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/lightberry.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lightberryinc", "x_url": "https://x.com/lightberry", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e293e7e459ca366271fd5317cd8af37ed2cd6625.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": 255747, "full_name": "Ali Attar", "title": "Founder/CEO", "founder_bio": "Founder @Lightberry (F25) 💛", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/attarali", "x_url": "https://twitter.com/aliatttar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fc8e4cc390f95fd1cb22381c69d3e994240bed1e.jpg" }, { "user_id": 187048, "full_name": "Stephan Koenigstorfer", "title": "Founder/CTO", "founder_bio": "Founder @ Lightberry 💛", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stephankoe", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a8868edb0a4206fafe6b4d0157e327fe6e9b1dd.jpg" }, { "user_id": 2052513, "full_name": "Stephan Wolski", "title": "Founder/Head of Robotics", "founder_bio": "Self driving cars, trucks, and humanoids.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stephan-wolski/", "x_url": "https://x.com/StephWolski", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aaf21d7f88280fe68894078fb1ca2cae4d0b2bd0.jpg" } ], "jobs": [ { "id": 90164, "title": "Senior/Staff Software Engineer, Voice AI", "url": "https://www.ycombinator.com/companies/lightberry/jobs/J1rOMLl-senior-staff-software-engineer-voice-ai", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $280K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 90199, "title": "Robotics Engineer", "url": "https://www.ycombinator.com/companies/lightberry/jobs/zMM4MQ4-robotics-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$150K - $225K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 95161, "title": "Lightberry - Robots with Soul", "tagline": "We’re building brains for robots - so they can talk, act, listen and feel. ", "body": "![uploaded image](/media/?type=post&id=95161&key=user_uploads/187048/b726300c-0e1d-4190-87ac-44a8bc4a2ed3)\n\nGreetings dear humans – we’re building **Lightberry: the social brain for robots.**\n\nWe work with manufacturers like Unitree and Booster to make robots listen, speak, and act. You can program your robot out of the box by literally talking to it, no coding involved.\n\nRobots running Lightberry are:\n\n* emotionally intelligent\n* always on\n* fully autonomous\n\nJust like in Star Wars!\n\nhttps://www.youtube.com/watch?v=aJZ3pcFyfg4\n\n### **Why?**\n\nWe’ve seen robots on stage: folding laundry, serving popcorn, doing backflips… But before robots get deployed in homes, offices, and shops, they need to become good at **interacting with people**.\n\nSlapping ChatGPT realtime on it is not enough, every manufacturer tried that already. It responds to every little noise, lacks personality, and needs to be teleoperated.\n\nLightberry makes robots **contextually aware**, **customizable**, and **autonomous**.\n\n_We’ll let our robot Mini-Pi say it in its words:_\n\n[**https://youtu.be/e1gD57WY74s**](https://youtu.be/e1gD57WY74s**)\n\n### **Is it just a voice pipeline on top of a robot?**\n\nNo. Lightberry robots have agency. They **decide** when they want to speak or move. Our robots can **see the world** around them, **navigate it** without hitting obstacles, and have an internal **monologue of thoughts**.\n\n_Here’s our robot Koko’s hot-take:_\n\n[**https://youtu.be/Y7SN58Cdvs4**](https://youtu.be/Y7SN58Cdvs4**)\n\n### **What can your robots do?**\n\nRobots running Lightberry are being deployed to interact with people: homes, offices, shops, conferences, etc. Our software works on many different robots: Unitree G1, Fourier GR-2/N1, Booster T1/K1, High Torque Mini-Pi/Mini-Pi+ …\n\n_Here are a few robots we’ve deployed Lightberry on – meet Koko, Synthia, Alfred, Blake, Minnie, and Bradford:_\n\n![uploaded image](/media/?type=post&id=95161&key=user_uploads/187048/60dd09f1-41ed-488c-bb73-546727f5d606)\n\n### **Ask**\n\n**We want to deploy as many robots in the real world as possible.** If you want to:\n\n* Hire a robot for a people-facing gig (conference, sales, marketing, receptionist, concierge…)\n* Integrate Lightberry into your robot (if you’re building hardware!)\n\n**Please email us at [founders@lightberry.com](mailto:founders@lightberry.com).**\n\nThanks,\n\n[**@Ali Attar**](https://bookface.ycombinator.com/user/255747) & [**@Stephan Koenigstorfer**](https://bookface.ycombinator.com/user/187048)\n\n![uploaded image](/media/?type=post&id=95161&key=user_uploads/187048/c6837400-65bf-4cb7-a943-52615e648ae8)\n\n_Yes, it walks around me!_", "url": "https://www.ycombinator.com/launches/Okr-lightberry-robots-with-soul", "votes": 178, "created_at": "2025-11-04T17:34:27.623Z" } ] }, { "id": 30991, "name": "Forge Robotics", "slug": "forge-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc718543c8da7c7d1c6d5308ecd4cde3ca18269c.png", "website": "https://forge-robotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "Forge Robotics is changing the way that metal parts are fabricated. We are enabling a future where our intelligent robotic system completes all steps needed to take raw metal stock and transform it into fully welded parts. \r\n\r\nBeginning with welding, we are building a robot-mounted vision system and AI feature detection that creates a real-time 3D map and tells the arm exactly where to go at every instant.", "one_liner": "A robotics intelligence system for metal fabrication", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1762659715, "tags": [ "Robotic Process Automation", "Robotics", "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/forge-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/forge-robotics.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/forge-robotics", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc718543c8da7c7d1c6d5308ecd4cde3ca18269c.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": 2972389, "full_name": "Robert Cormican", "title": "Founder/CTO", "founder_bio": "CEO and Founder of Forge Robotics. With a deep background in Mechatronics, Image Quality and Computer Vision and Silicon Development/Semiconductor Manufacturing", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robert-cormican-a4405990/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/60f5c6a0a8856605cc957c1a4ba6d20ea552717d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95362, "title": "Forge Robotics - The Future of Manufacturing", "tagline": "Forge Robotics gives manufacturing companies the ability to make parts fully autonomously", "body": "Hey everyone, we’re [Eoin ](https://www.linkedin.com/in/eoincobbe)and [Robert](https://www.linkedin.com/in/robert-cormican-a4405990), co-founders of Forge Robotics.\n\nWe are completely changing the way that metal fabrication is done. Companies can no longer afford to deal with massive labour shortages and rising costs of outdated processes. Forge is on the journey to enable companies to take in raw stock metal and output completed metal parts without human intervention.\n\n# TL;DR\n\nForge is building a system that turns dumb, human-programmed industrial welding robot arms into autonomous members of the workforce.\n\nFrom here, we will deliver autonomous factory units that handle all processes in metal fabrication, from handling cut parts and positioning them for assembly, to welding and cleaning up final assemblies.\n\nTo get involved, contact us @ [eoin@forge-robotics.com](https://eoin@forge-robotics.com)\n\nhttps://www.youtube.com/watch?v=5vxp75bUlIY&t=38s\n\n# 🏭 The Problem\n\nManufacturing is an industry that has been all but left behind for the past 20 years compared to the advances in software development, self-driving vehicles, and all other fields that AI has revolutionised.\n\n**Labour shortages**\n\nManufacturing of defence equipment, construction machines, and automotive make up the backbone of much of the American economy. In the U.S, there are 400,000 unfilled welding positions, and that is expected to rise to 600,000 by 2030.\n\n**Push to reshore**\n\nOEMs and Tier 1 manufacturers are pushing to reshore their manufacturing, but traditional methods of operation mean that they are failing to operate profitably when competing with manufacturing in offshore economies.\n\n**Failure of current automation**\n\nCurrent industrial robots can only achieve a very narrow set of well-defined manufacturing tasks because of the way robots are programmed. Traditionally programmed welding robots end up with around 10% of parts needing rework due to the delta in geometry from part to part.\n\n![uploaded image](/media/?type=post&id=95362&key=user_uploads/2795202/eb13105f-47fa-4312-b8c7-185ecac7e04a)\n\n# 🦾 Our solution\n\nForge provides a vision system and robotic intelligence that creates a sub-mm map, identifies all features and weld seams, and autonomously controls the welding robot arms.\n\nMetal fabrication companies will now:\n\n* No longer have to **manually program** robotic arms\n* Achieve **99% first pass line yield**, up from the current 90%\n* Use robotic welding arms in many previously infeasible situations\n\n![uploaded image](/media/?type=post&id=95362&key=user_uploads/2795202/82ef4c04-835c-4a20-a6b6-85698177d54b)\n\n# ♾️ Fully autonomous production\n\nUsing the manufacturing intelligence system that we are working on for factories today, we will be delivering fully autonomous modular factory units that handle all of the metal manufacturing processes to take raw steel parts to finished welded assemblies. Saving companies **Tens of millions** per year by changing the way they manufacture.\n\n# 🤝 Ask\n\nCan you introduce us to companies in the metal manufacturing industry? We are currently taking on as many pilot customers as we can!\n\nIf this is a future that excites you and you want to find out how you can be part of it 👉Contact Eoin @ [eoin@forge-robotics.com](https://eoin@forge-robotics.com)\n\nFind out more @ [www.forge-robotics.com](https://forge-robotics.com/)", "url": "https://www.ycombinator.com/launches/Oo6-forge-robotics-the-future-of-manufacturing", "votes": 285, "created_at": "2025-11-10T15:00:31.012Z" } ] }, { "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": 31003, "name": "Voltair", "slug": "voltair", "former_names": [ "Voltair Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a981c3ee0de6ecf9a915e188b211780fce335e44.png", "website": "https://voltairlabs.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Voltair is building the world's first globally distributed network of autonomous drones for Earth observation.\r\n\r\nPower utilities are the perfect first customer. Aging infrastructure and extreme weather drive the need for millimeter-scale inspection data on the power grid. Utilities spend tens of billions of dollars every year just looking at their own equipment. Autonomous drone fleets will enable utilities to inspect 7 million miles of infrastructure more frequently, quickly, and accurately. Our long-range, weatherized flying robots work with charging pads installed directly on utility poles. Each new pad unlocks 1000 square miles of coverage.\r\n\r\nWith a charging network deployed on the power grid, we can serve existing multi-billion dollar data markets in road, rail and telecom inspection at 10x lower prices while enabling entirely new applications in hyperlocal weather monitoring, forestry, construction, search & rescue, and insurance.\r\n\r\nWe envision a future in which drone \"instances\" are requested on-demand through our platform, enabling any application builder to serve these critical markets without ever operating their own hardware.", "one_liner": "Autonomous Drones for Earth Observation", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Drones", "launched_at": 1766190509, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Drones" ], "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/voltair", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/voltair.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/106697553/admin/dashboard/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a981c3ee0de6ecf9a915e188b211780fce335e44.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d79ec52b6b572c562d9824ee4066c741860cee04.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2856509, "full_name": "Ronan Nopp", "title": "Founder/CEO", "founder_bio": "Ronan is the co-founder and CEO of Voltair.\n\nHe independently designed and tuned the controls system for a manned eVTOL aircraft while still in school.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ronan-nopp", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1d0281de8eb1c3cfb050974b868c6554d0bfdcbe.jpg" }, { "user_id": 2889367, "full_name": "Hayden Gosch", "title": "Founder", "founder_bio": "Hayden is the co-founder and CTO of Voltair.\n\nHe studied electrical and computer engineering at the University of Washington, where he focused on power electronics. He spent two years doing system protection engineering at Seattle City Light and later worked in R&D at Schweitzer Engineering Laboratories (SEL).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/haydengosch/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/449e69781db8763a5f0bcc2b40e9ea07049fa0e2.jpg" }, { "user_id": 2981386, "full_name": "Avi Gotskind", "title": "Founder", "founder_bio": "Avi is the co-founder and CGO of Voltair.\n\nHe worked as a consultant on GTM and government affairs strategy across aerospace and space companies, including ExoAnalytic Solutions, Virgin Galactic, and briefly Amazon Kuiper.\n\nFormerly a member of the National Youth Orchestra. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/avigotskind", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/25618b62b79ca34fab39b400c7113f88b3caae24.jpg" }, { "user_id": 2807951, "full_name": "Warren Weissbluth", "title": "Founder/COO", "founder_bio": "Warren is the co-founder & COO of Voltair.\n\nHe studied Operations Research engineering at Rice University. Warren has previously worked for 2x NSF funded startups, where he helped raise a $1M SBIR. He interned for Boeing (structures engineering) during his freshman summer. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/warrenweissbluth/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4cfd704e43373f2fb614f2483ab083f4ed3e5dc1.jpg" } ], "jobs": [ { "id": 104499, "title": "Flight Test Engineer", "url": "https://www.ycombinator.com/companies/voltair/jobs/sSOD2Ox-flight-test-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$100 - $160", "equity_range": "0.50% - 1.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 109446, "title": "Electrical Engineering Intern", "url": "https://www.ycombinator.com/companies/voltair/jobs/tuE1IRN-electrical-engineering-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Electrical", "salary_range": "$1K - $2K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Prototyping", "PCB design", "Sensor integration" ] } ], "news": [], "launches": [ { "id": 98780, "title": "Voltair: Network of Distributed Autonomous Drones for Earth observation", "tagline": "Critical Information On-Demand", "body": "![uploaded image](/media/?type=post&id=98780&key=user_uploads/2807951/942fe394-9295-4ee8-9b6d-979e050426c9)\n\nVoltair is building the worlds first globally distributed network of autonomous drones for Earth observation. [https://voltairlabs.com](https://voltairlabs.com/)\n\n![uploaded image](/media/?type=post&id=98780&key=user_uploads/2807951/5399af3e-19c1-4497-82da-618f72aa149f)\n\nPower utilities are the perfect first customer. Aging infrastructure and extreme weather drive the need for millimeter-scale inspection data on the power grid. Utilities spend tens of billions of dollars every year just looking at their own equipment. Autonomous drone fleets will enable utilities to inspect 7 million miles of infrastructure more frequently, quickly, and accurately. Our long-range, weatherized flying robots work with charging pads installed directly on utility poles. Each new pad unlocks 1000 square miles of coverage.\n\n![uploaded image](/media/?type=post&id=98780&key=user_uploads/2807951/68775f10-3f09-4b72-95fb-323fb497b334)\n\nWith a charging network deployed on the power grid, Voltair can serve existing multi-billion dollar data markets in road, rail and telecom inspection at 10x lower prices while enabling entirely new applications in hyperlocal weather monitoring, forestry, construction, search & rescue, and insurance.\n\n![uploaded image](/media/?type=post&id=98780&key=user_uploads/2807951/b2b86f38-c0de-4bd6-8ff2-ceb51eeed45c)\n\nVoltair envisions a future in which drone instances are requested on-demand through the platform, enabling any application builder to serve these critical markets without ever operating their own hardware.", "url": "https://www.ycombinator.com/launches/PhE-voltair-network-of-distributed-autonomous-drones-for-earth-observation", "votes": 10, "created_at": "2026-03-13T14:10:03.951Z" }, { "id": 97100, "title": "Voltair: Drones that Charge on Power Lines", "tagline": "Our drones can remain deployed indefinitely, positioned where utility companies need them most, and ready to inspect power lines at a moment’s notice. ", "body": " \n\n**Tl;dr -** We build drones that charge directly on transmission lines. Our drones can remain deployed indefinitely, positioned where utility companies need them most, and ready to inspect power lines at a moment’s notice. \n\n**Background**\n\nThe American power grid faces unprecedented challenges. Extreme weather is more frequent, more destructive, and less predictable. From 2000 to 2023, 80% of all major outages were caused by extreme weather events. At the same time, power utilities are expected to deliver higher reliability, faster restoration, and stronger wildfire and safety outcomes. Utility investments in distribution grid hardening nearly tripled from 2003 to 2023.\n\nUtilities cannot manage what they cannot see. Today, critical information on the physical grid arrives at the speed of a person reaching the problem. Linemen need high fidelity information faster to prioritize and act decisively.\n\n**Public Utilities**\n\nOur immediate focus is providing utilities with rapid infrastructure assessments across large areas following storms, power outages, and fires.\n\nAt scale, our technology enables a step change in how utilities operate. A linemen or engineer can request imagery of a specific line span or structure and receive it immediately. A downed pole in a high-risk residential area can be located and assessed quickly. Voltair can support routine, day-to-day operational visibility as well as urgent, high-consequence events.\n\nSee more here  \n\nIf you’re interested in piloting our service, reach out to [avi@voltairlabs.com](mailto:avi@volairlabs.com)", "url": "https://www.ycombinator.com/launches/PG8-voltair-drones-that-charge-on-power-lines", "votes": 19, "created_at": "2026-01-23T15:07:51.927Z" } ] }, { "id": 31019, "name": "Ndea", "slug": "ndea-com", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/51a1310dd1344aa031a62430dad084db50b7229d.png", "website": "https://ndea.com", "all_locations": "Remote", "long_description": "Ndea is building frontier AI systems that blend intuitive pattern recognition and formal reasoning into a unified architecture.\r\n\r\n# AI for Scientific Advancement\r\n\r\nUnlike all life before us, humanity's ascent is a story of ingenuity, not just biological evolution. Our progress has been driven by the curiosity to acquire knowledge, the ability to pass it on, and an intrinsic drive to innovate. We build technology which gives us leverage beyond our biology.\r\n\r\nWe stand at the top of a knowledge and technology colossus that we collectively created over the past ten thousand generations. Scientific progress has helped us overcome burdens that long defined human life — famines, plagues, and widespread illiteracy. Science will continue to redefine the boundaries of the human condition.\r\n\r\nToday, the acceleration of scientific progress hinges on one factor: AI capable of independent invention and discovery. This capacity is the gateway to advancements beyond our wildest imagination.\r\n\r\n# A New Research Lab\r\n\r\nWe're starting Ndea — an AI research and science lab. The name - like 'idea' with an 'n' - is inspired by the Greek concepts ennoia (intuitive understanding) and dianoia (logical reasoning), capturing our first goal to merge deep learning with program synthesis.\r\n\r\nNdea is entirely focused on developing and operationalizing AGI to realize unprecedented scientific progress in our lifetime for the benefit of all current and future generations.\r\n\r\nBuilding AGI alone is a monumental undertaking, but our mission is even bigger. We're creating a factory for rapid scientific advancement — a factory capable of inventing and commercializing N ideas.\r\n\r\nFrom our vantage point today, we see many 'known' frontiers like self-driving vehicles, drug discovery, sustainable energy, robotics, and space exploration. While AGI will benefit all of these, the most exciting adventure lies in the 'unknown'. AGI promises discoveries and progress we cannot imagine today.", "one_liner": "Building AGI that can innovate.", "team_size": 15, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1772669917, "tags": [ "Deep Learning", "Hard Tech", "Remote Work", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ndea-com", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/ndea-com.json", "year_founded": 2024, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/ndea/", "x_url": "https://x.com/ndea", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/51a1310dd1344aa031a62430dad084db50b7229d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2858111, "full_name": "Francois Chollet", "title": "Founder", "founder_bio": "https://fchollet.com/", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/fchollet/", "x_url": "https://x.com/fchollet", "avatar_thumb_url": "/avatars/thumb/missing.png" }, { "user_id": 898, "full_name": "Mike Knoop", "title": "Founder", "founder_bio": "https://mikeknoop.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mikeknoop", "x_url": "https://twitter.com/mikeknoop", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/45810451d10680414c72b6b9db3769a697c4bc6d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31021, "name": "Zephyr Fusion", "slug": "zephyr-fusion", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c896e2a98ef03115005ed5ae8acd4500d7eea752.png", "website": "https://www.zephyrfusion.com", "all_locations": "San Diego, CA, USA", "long_description": "Zephyr Fusion is building the first in-orbit fusion power source: a megawatt-class reactor enabling large-scale industry in space, at a fraction of the cost of equivalent solar.\r\n\r\nFounded by former physicists from Lawrence Livermore and Oak Ridge National Laboratories, Zephyr leverages decades of fusion research to deliver a compact magnetic confinement system designed to take advantage of the space environment.", "one_liner": "Powering tomorrow's industrial revolution in space", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1762532179, "tags": [ "Fusion Energy", "Hard Tech", "Satellites", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/zephyr-fusion", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/zephyr-fusion.json", "year_founded": 2025, "city": "San Diego", "country": "US", "linkedin_url": "https://www.linkedin.com/company/zephyr-fusion", "x_url": "https://x.com/Zephyr_Fusion", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c896e2a98ef03115005ed5ae8acd4500d7eea752.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": 2842889, "full_name": "Edward Hinson", "title": "Founder", "founder_bio": "Cofounder of Zephyr Fusion, an in-orbit fusion power company. 20+ years in mathematical modeling and experimental plasma physics. Former scientist at Oak Ridge National Lab and UW-Madison. PhD in Nuclear Engineering and Engineering Physics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edward-hinson-078b15143/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7d140c01f06bf0f6bd2775b56bbb6dd17665d759.jpg" }, { "user_id": 2938721, "full_name": "Galen Burke", "title": "Founder", "founder_bio": "Co-founder of Zephyr fusion, an in-orbit fusion power company. 15+ years in cutting edge diagnostics and plasma physics. Former scientist at Lawrence Livermore National Laboratory and the University of Wisconsin-Madison. PhD in Nuclear Engineering and Engineering Physics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/galen-burke-78923317/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/98c843bf90dac8ffc44e771edb2b7073905edb05.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95415, "title": "Zephyr Fusion: In-orbit fusion power", "tagline": "Powering tomorrow's industrial revolution in space", "body": "**TL;DR: Most satellites are limited to kilowatt-scale solar power, constraining high-power applications in orbit. The unlimited vacuum in space allows a dipole magnetic confinement device to form the large plasma confinement regions fusion requires without bulky reactor hardware. With HTS magnets and declining launch costs, compact megawatt-class fusion in orbit is now within reach, unlocking an industrial space economy.**\n\n![uploaded image](/media/?type=post&id=95415&key=user_uploads/2938721/f0f7e94a-1ebe-4b6d-8d0e-b4fa8aad7051)\n\n**Who We Are**\n\nHi everyone! We’re Dr. Galen Burke and Dr. Edward Hinson, founders of Zephyr Fusion. After years working on some of the hardest problems in fusion energy at Oak Ridge and Lawrence Livermore National Labs, we realized something fundamental: fusion actually gets easier in space.\n\nWe’ve been friends and collaborators since 2010 in grad school at the University of Wisconsin-Madison, where we operated a spherical tokamak. We subsequently continued research at premier fusion research facilities, like the W7-X stellarator in Greifswald and the premier US tokamak, the DIII-D National Fusion Facility in San Diego, as employees of US DOE National Labs. Between us, we’ve accumulated 35+ years of experimental fusion research experience, publishing in _Physical Review Letters_, _Nuclear Fusion_, and _Physics of Plasmas_, and others.\n\n**Launching Zephyr Fusion**\n\n“Fusion in space” sounds ambitious - and it is - but it is grounded in well-established physics and enabled by new economics. Zephyr Fusion exists because the physics and economics now align: high-temperature superconductors and drastically reduced launch costs make it possible to build compact, megawatt-class orbital fusion power. We’re here to bring real power to the space economy.\n\nOur goal is simple: Provide megawatt-class power in orbit.\n\nThe space economy is fundamentally power-limited. Most satellites operate on the power equivalent of a toaster or two. While the Sun provides about 1 kW/m², scaling solar beyond \\~10 kW rapidly becomes mass- and cost-prohibitive. For example, the ISS’s new 120 kW roll-out arrays cost roughly $100M, or about $1B/MW installed. Advancing beyond this power limit would catalyze a new economy: large-scale industrial activity, data centers, high-power electrical propulsion, large human habitats, and more.\n\n**Why Space Makes Fusion Easier**\n\nThe performance of magnetic fusion devices scales with the size of the plasma, specifically the magnetized vacuum volume they occupy. Magnetized vacuum is in fact the most essential resource for fusion plasmas. The performance improvement is quantified with “energy confinement time,” τₑ, roughly how long energy stays in the plasma. For tokamaks, global experiments have shown roughly:\n\nτₑ \\~ R²\n\nwhere R is the device radius. Fusion gets easier when the plasma is big.\n\nOn Earth, increasing plasma size forces the entire reactor to scale up with it, driving cost - which is why ITER - the world’s largest tokamak - has a \\~6m plasma radius and a \\~$65B price tag ([DOE 2018](https://www.govinfo.gov/content/pkg/CHRG-115shrg19104909/pdf/CHRG-115shrg19104909.pdf)). It is a research project, but ball-parking ITER as a 100MWe reactor, the expense amounts to $0.65B/MW - notably still less than what is being paid now for large-scale space solar, but a long way from commercial viability in the competitive commodity market back on Earth. The physics imperative for larger plasmas leads to devices that are larger still.\n\nBut in space, the link between hardware size and plasma size can be broken.\n\nA dipole magnetic field (which may be familiar from planetary magnetospheres), allows the plasma to form a large, self-organized region enclosing a single coil, extending into the external vacuum. In space, the outer boundary is not a physical wall but free vacuum. This “inside-out” configuration removes the dominant energy loss channel in terrestrial devices and allows for very large effective magnetized vacuum volumes with minimized hardware footprint. Furthermore, scalings obtained from the physics of magnetospheric dipoles appear to hold in dipole reactors as well ([LDX Nature Physics 2010](https://www.nature.com/articles/nphys1510)), implying that fusion power in a dipole reactor grows extremely strongly with radius.\n\nIn other words:\n\nA meter-scale dipole coil in orbit, that can be built today, can produce a magnetized volume exceeding that of ITER, at a tiny fraction of the mass and cost, and ITER-scale confinement may be accessible with hardware that fits on a SpaceX Falcon 9 launch vehicle.\n\n![uploaded image](/media/?type=post&id=95415&key=user_uploads/2938721/b30c091c-ecb7-4b4d-9998-f738a5d5352c)\n\nDipole fusion reactors in space have been proposed before, notably by [Edward Teller](https://www.tandfonline.com/doi/abs/10.13182/FST92-A30057), but have only become practical now because:\n\n• Launch costs have dropped by \\~10x in the last decade.\n\n• Mass-produced, HTS tapes provide - 10x more field per kg in the last decade\n\nThe _two price shocks multiply_: cost of field-per-kilogram and cost of kilograms-to-orbit are both independently collapsing. In orbit this results in an ongoing “price shock squared” in just the resource we need for fusion: magnetized vacuum.\n\n**Why This Matters**\n\nPower is the final barrier to a real space economy:\n\n• Large computing and data centers in orbit\n\n• Industrial manufacturing and materials processing in microgravity\n\n• High-power electric propulsion stages\n\n• Defense platforms\n\n• Human habitats and long-duration exploration\n\nAll of these require MW-class power.\n\nHumanity's ability to harness concentrated energy has been the driving force behind Earth's industrial revolutions.\n\nWhen hydrocarbons arrived, heavy industry followed.\n\nWhen cheap, compact fusion arrives in orbit, the same thing will happen - off-planet.\n\nAnd the early movers shape the infrastructure layer.\n\nWe founded Zephyr Fusion because we believe the space economy is transitioning from exploration to industry, and industry requires power at scale.\n\nLet’s build it.\n\n**Ask**\n\n**Feedback -** We’d love to discuss the physics and roadmap - reach out anytime.\n\n**Introductions -** If you know satellite, defense, or other teams that have an interest in MW-class power, we’d appreciate intros. Let us know at [founders@zephyrfusion.com](mailto:founders@zephyrfusion.com).\n\nThanks!\n\n\\- The Zephyr Fusion Team\n\n![uploaded image](/media/?type=post&id=95415&key=user_uploads/2938721/ce082155-315b-44b0-af6a-017346eb99db)\n\n", "url": "https://www.ycombinator.com/launches/Oox-zephyr-fusion-in-orbit-fusion-power", "votes": 59, "created_at": "2025-11-12T06:56:27.373Z" } ] }, { "id": 31023, "name": "Standard Physics", "slug": "standard-physics", "former_names": [ "Inviscid AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/edd438978013e82ecd281b761baafad0dab9c68e.png", "website": "https://standardphysics.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Standard Physics (formerly Inviscid AI) builds AI that does real physics. Most AI tools approximate physical behavior and get it wrong in ways engineers can’t see. Ours run actual numerical solvers, so the results are accurate enough to make real engineering decisions on.\r\n\r\nWe have three products built on one engine.\r\n\r\nReynolds runs computational fluid dynamics for you. An engineer describes the flow in plain language, and Reynolds writes the OpenFOAM case, builds the mesh, runs the solver, and returns the figures, the numbers, and a case they can rerun. It’s open source.\r\n\r\nArchimedes searches the design itself. Swarms of agents try thousands of layouts in parallel, simulate each one through Reynolds, keep what the physics rewards, and redraw the search space when the best answer was never in the original plan. We sell it as outcome-based engineering: customers pay for a better design, not for compute.\r\n\r\nInviscid AI (now a product!) points the same engine at a running building. It holds a data center within its thermal limits in real time, computed continuously from live telemetry. Our platform optimizes airflow patterns and ventilation strategies to eliminate dead zones, improve air distribution, and reduce the load on mechanical systems. On the energy side, we minimize HVAC power consumption, reduce cooling costs, and lower overall operational expenses while maintaining optimal thermal comfort and indoor air quality. \r\n\r\nWe work with hardware startups and engineering teams on data center cooling, drones, energy systems, piping, and electronics. Reynolds earns engineers’ trust in daily use, and Archimedes and Inviscid AI turn that trust into large contracts.", "one_liner": "Fast Physics Simulations for Rapid Design and Real Time Control", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1769244149, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/standard-physics", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/standard-physics.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/standard-physics/", "x_url": "https://x.com/StandardPhys", "fb_url": null, "cb_url": null, "github_url": "https://github.com/InviscidAI", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/edd438978013e82ecd281b761baafad0dab9c68e.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": 2566201, "full_name": "Kabir Jain", "title": "Founder/CEO", "founder_bio": "I like physics and AI", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kabir-jain-781a6525a", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d706dd634d225e95f024a467c2a9705078328a7.jpg" }, { "user_id": 2965234, "full_name": "Ziming Qiu", "title": "Founder/CTO", "founder_bio": "I make simulations :).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/qiu-ziming-1b746a276", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/68c0985a83fc0499721539da91ea610e5a39234a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98221, "title": "Inviscid AI: Real-Time Physics Simulation For Digital Twins of Built Environments", "tagline": "Real-time physics simulation that cut energy costs and accelerate design cycles", "body": "TL;DR: We are creating real-time physics simulations & digital twins of physical spaces. 1000x faster than traditional solvers; fast enough to actually optimize your energy costs, design cycles, and live operations.\n\n---\n\nBuilding operations account for approximately **40%** of **total energy consumption** in the United States and the European Union. Of that, **HVAC** alone eats up roughly **40%,**  making heating and cooling the single largest energy end-use in the built environment. And yet, the physics tools to understand and optimize these systems in real time have never existed.\n\nTraditional CFD solvers take 8-12 hours per simulation. That's fine for final-stage validation. But it means you can never use simulation to answer questions like:\n\n* \"This data center row is running hot. What's the fastest fix that doesn't require new hardware?\"\n* \"Occupancy just spiked on floor 3. What should we do with the HVAC right now?\"\n* \"We're choosing between 40 thermal designs. Can we test them all this afternoon?\"\n\nThese are real-time decisions. You can't wait 12 hours for them. So today, operators guess, over-provision, and leave massive efficiency gains on the table. Not because they don't care, but because the physics was always too slow to be useful at the moment.\n\n**We fix that.** Our engine runs \\~1000x faster than traditional solvers using GPU accelerated numerical solvers or physics-informed neural operators, fast enough to turn simulation from a one-off analysis into a live, continuous control layer over physical systems. \n\n![uploaded image](/media/?type=post&id=98221&key=user_uploads/2566201/c345ead2-296e-43a5-b200-09bb372643eb)\n\nWe've achieved _state-of-the-art_ performance on standard Navier-Stokes benchmarks across multiple physics domains.\n\n![uploaded image](/media/?type=post&id=98221&key=user_uploads/2566201/3fa0a608-633c-4083-bcd9-1ebf3561d634)\n\n![uploaded image](/media/?type=post&id=98221&key=user_uploads/2566201/57760bd4-95fd-4a4b-aeb9-692c04c68cab)\n\nThis isn't a cheaper simulation. It's a fundamentally new capability: **real-time physics-aware control of the physical world.**\n\n### **What This Unlocks**\n\n* **Live Digital Twins:** Connect to your building's sensors and get a full spatial model of airflow, thermal loads, and energy draw - updating continuously, not a static snapshot. Instead of 5 temperature readings, you get the complete picture of what's happening across your entire facility, right now.\n* **Dynamic Optimization:** Your HVAC doesn't need to run on static schedules. With a live physics model, setpoints adjust automatically as occupancy, weather, and equipment state change. We're seeing 15–30% energy reduction - not from a one-time audit, but from continuous, physics-informed control.\n* **Instant What-If Scenarios:** \"What if we move this vent?\" \"What happens if we add 200 servers to this row?\" \"How does this layout perform at peak summer load?\" Answers in seconds, not days.\n* **Rapid Design Iteration:** Test hundreds of thermal, airflow, or structural configurations in the time it takes to run one traditional sim. Explore the full design space instead of picking 3 candidates and hoping.\n\n### **Who This Is For**\n\nWe built InviscidAI to power real-time decisions across any domain where physics matters:\n\n* **Facility Operators:** Optimize HVAC, ventilation, and energy usage across office buildings, warehouses, hospitals, and cleanrooms - dynamically, as conditions change.\n* **Data Center Teams:** Manage thermal loads and cooling in real time. Plan capacity expansions with instant physics feedback instead of week-long simulation cycles.\n* **Cold Storage Owners**: Understand their facility in real time, and prevent thermal failures and product loss.\n* **Hardware & Manufacturing Engineers:** Accelerate thermal, airflow, and structural design iteration from weeks to hours. Ship better products, faster.\n* **Building Owners & Developers:** Understand exactly how design choices affect energy performance before breaking ground - and keep optimizing after move-in.\n\n### **Where We're Going**\n\nHVAC and building operations are our starting point. Our end goal is to model all fields of physics - fluid dynamics, thermodynamics, electromagnetics, structural mechanics, and beyond - and deliver real-time digital twins for any physical system. We want every engineer, operator, and designer to have a live, physics-accurate model of whatever they're building or managing. If it obeys the laws of physics, we want to simulate it in real time.\n\n### **Our Ask**\n\nWe're deploying custom digital twins for enterprise clients. We're looking for introductions to:\n\n1. **Facilities & Operations Teams:** Anyone managing large buildings, campuses, or industrial facilities with high energy costs or thermal challenges.\n2. **Data Center Operators:** Teams dealing with cooling optimization, hot spots, or capacity planning.\n3. **Hardware Engineering Teams:** Engineers frustrated with slow CFD/thermal simulation cycles.\n4. **Building Developers & Owners:** Anyone who wants physics-informed design and continuous post-occupancy optimization.\n5. **Digital Twin / IoT Platforms:** If you're building monitoring infrastructure and need a real-time physics layer, let's partner.\n\nIf you have a physics problem that you want to solve faster, we want to hear about it.\n\nBook a time here: \n\n📧 [kabir@inviscidai.com](mailto:kabir@inviscidai.com) | 📞 +1(408) 303-9627 | 🌐 [www.inviscidai.com](http://www.inviscidai.com)\\\n\\\n", "url": "https://www.ycombinator.com/launches/PYD-inviscid-ai-real-time-physics-simulation-for-digital-twins-of-built-environments", "votes": 6, "created_at": "2026-02-26T22:52:27.034Z" } ] }, { "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": 31047, "name": "Waddle Labs", "slug": "waddle-labs", "former_names": [ "Waddle" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f525546cff510b464f7877004fcc10c8f0b97843.png", "website": "https://www.waddlelabs.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "LLMs that control robots", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1784890498, "tags": [ "Developer Tools", "Generative AI", "Robotics", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/waddle-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/waddle-labs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/waddlelabs/", "x_url": "https://x.com/theWaddleLabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f525546cff510b464f7877004fcc10c8f0b97843.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2132817, "full_name": "Hanming Ye", "title": "Founder", "founder_bio": "Interested in how natural intelligence arises. I also like machines such as 3D printers and robots. \n\nhttps://dozenducc.github.io/", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hanming-ye-0467b01aa", "x_url": "https://x.com/DozenDucc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b813f423ca4b4732c54817689193d5602190bf5.jpg" }, { "user_id": 1853600, "full_name": "Yiding Song", "title": "Founder", "founder_bio": "Interested in systems that learn theories about the world with human-like efficiency.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yiding-song-vincent/", "x_url": "https://x.com/yiding_song", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b7078e0f6f101f74db1f4584bb6cd102051bb9f0.jpg" } ], "jobs": [ { "id": 109947, "title": "Founding Research Engineer", "url": "https://www.ycombinator.com/companies/waddle-labs/jobs/RaRUAQK-founding-research-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$175K - $350K", "equity_range": "1.00% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "ML", "Python", "Torch/PyTorch", "Distributed Systems", "Fine-tuning", "Evals", "AI Agents", "Diffusion Models" ] } ], "news": [], "launches": [ { "id": 107821, "title": "Waddle Labs - Agents that control robots", "tagline": "Claude Code for robotics - prompt your robot to do physical tasks", "body": "Waddle is the Claude Code for robotics. Connect our API to your robot and type a prompt, then our agents write code to achieve the task in \\~20 minutes.\n\n![uploaded image](/media/?type=post&id=107821&key=user_uploads/2132817/afc74f28-33c6-450c-80c3-7f2d263f213d)\n\n### **Our Hypothesis**\n\nRobot intelligence today depends either on large end-to-end VLAs or classical approaches.\n\n\\- VLAs are difficult to customise and steer, require huge amounts of data to train, and don’t yet generalise across embodiments and environment. They face limited deployment.\n\n\\- Meanwhile, classical approaches are widely deployed for their reliability and explicit control, but are often brittle and costly to redevelop in new setups.\n\n_Does this tradeoff have to be inevitable?_\n\n**Our hypothesis:** By using agents to control robots, we combine the generalisation of VLAs with the speed and reliability of classical approaches. \n\n### **Our Solution**\n\nOur agents decomposes a goal into subtasks, and completes each subtask by viewing camera feeds, writing control code, and calling models like VLAs. The agent outputs a program that you can run and iterate on by talking to our agents. \n\n**Where we've been using Waddle internally:**\n\n\\- **Create a working policy in 20 minutes** (\"Write a program to package the box\")\n\n\\- **Generate data for model training** (\"Pick and place lego bricks at random positions 1000 times\")\n\n\\- **Facilitate robotics auto-research** (\"I am tuning a policy overnight. Reset the scene after each trial”)\\\n\\\nBecause our agents are LLMs, they inherit properties of the underlying models. Agents and the code they write are inherently generalist, so they work with any robot and any environment without additional data. Moreover, agents excel at long-horizon planning and can decompose a physical goal into subtasks, verify each stage, and re-plan on failure.\n\n**Interested in trying our agents via our preview API?** Sign up at \\[our website\\]() or email [founders@waddlelabs.ai](mailto:founders@waddlelabs.ai)\n\n### **Our Research**\n\nWaddle's agents enable new forms of scaling that we are very excited about:\n\n\\- **Scaling compositional generalization:** Our agent first wrote the “fold_grasp” skill while flipping a package; another agent later used it to fold a t-shirt. Over time, agents accumulate a library of skills, enabling future agents to compose them and achieve harder tasks.\n\n\\- **Scaling multi-robot cooperation:** Imagine an entire fleet of robots collaborating to achieve a task. For VLAs, this is a nightmare. For Waddle, simply hook up more agents. A master agent spawns subagents, coordinating multiple robots working concurrently.\n\n\\- **Scaling from scale:** We evaluated Opus 4.8, Fable 5, and GPT 5.6 Sol on a suite of manipulation tasks: larger models with larger thinking budgets consistently produce better policies. As foundation models improve, so do our robots.\n\n### **The Team**\n\nWe are @Yiding Song (Vincent) and @Hanming Ye. We met at MIT’s Research Science Institute, where Vincent was working on multimodal astrophysics models and Hanming was researching topology in the math department. Since then, we’ve become roommates at Harvard where we are either doing ML research or breaking robots - usually both.\n\nThere will be millions of robots in the future. Our mission is to enable everyone to take part in building them.", "url": "https://www.ycombinator.com/launches/S33-waddle-labs-agents-that-control-robots", "votes": 11, "created_at": "2026-07-27T17:45:25.918Z" } ] }, { "id": 31054, "name": "ARC Prize Foundation", "slug": "arc-prize-foundation", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6cfa6fd37255bf3036179eb9d4770661d2f35d12.png", "website": "https://arcprize.org/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "ARC Prize builds AI benchmarks that measure general intelligence. Our benchmark, ARC-AGI, has been used by OpenAI, Anthropic, Google DeepMind, and xAI.\r\n\r\nFounded by Mike Knoop and Francois Chollet, we inspire open source artificial general intelligence (AGI) research through benchmarks (the ARC-AGI series), global competitions, research grants, community, and content, we exist to guide researchers, industry, and regulators on the path to AGI.\r\n\r\nWe believe that AGI requires more than just scaling up existing AI models. It demands a fundamental shift towards systems capable of genuine fluid intelligence, the ability to adapt to novel challenges and solve problems efficiently, much like humans do.", "one_liner": "AI benchmarks that measure general intelligence and inspire new ideas", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1769103962, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials" ], "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/arc-prize-foundation", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/arc-prize-foundation.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/arcprize", "x_url": "https://x.com/arcprize", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6cfa6fd37255bf3036179eb9d4770661d2f35d12.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 3165689, "full_name": "Greg Kamradt", "title": "Founder/President", "founder_bio": "Greg is the president of ARC Prize Foundation. He leads the nonprofit's work building benchmarks that have been used by OpenAI, Anthropic, Google, and xAI.\n\nPreviously, Greg led ops + product at Digits (AI Accounting), and spent several years at Salesforce driving strategy, growth, and predictive analytics.\n\nGreg is also the founder of Leverage, teaching 100K+ developers how to build their first AI applications through his YouTube channel (66K subs).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gregkamradt/", "x_url": "https://x.com/GregKamradt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aba8d2c41d2e7534ee4369adb868141e99a330c3.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31062, "name": "Hlabs", "slug": "hlabs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2007aefe34bda2618000c044128494ad2cb4af5f.png", "website": "https://www.hlaboratories.com", "all_locations": "Austin, TX, USA", "long_description": "HLabs is making an industrial supply chain for building robots in the USA including electronics and actuators, with a focus on in-house manufacturing.\r\n\r\nRobotics is going to be one of the largest industries the world has ever seen. Teams have to buy what they can from overseas and then build everything else in house just to get something to move. HLabs is producing a plug and play set of robotic primitives to accelerate the early development and then working with larger scale production robots for bespoke designs.\r\n\r\nEarly customers span across household robotics, humanoids, robot arms, quadrupeds, and defense.\r\n\r\nHlabs is founded by Paul, a second time YC founder who also participated in the W21 batch with Mystic. He ran Mystic as CEO for 6 years.\r\n\r\n", "one_liner": "US-Made Parts for Robots", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1763422443, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/hlabs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/hlabs.json", "year_founded": 2025, "city": "Austin", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hlaboratories", "x_url": "https://x.com/hlabs_", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2007aefe34bda2618000c044128494ad2cb4af5f.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": 316612, "full_name": "Paul Hetherington", "title": "Founder/CEO", "founder_bio": "Founder and CEO of Hlabs (W26), Prev Founder and CEO of Mystic (W21).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/paul-hetherington/", "x_url": "https://x.com/paulcjh_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b0a028873ab868127c0bbf011e8d660b44e256b4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98674, "title": "HLabs: US-made robot actuators and electronics", "tagline": "An ecosystem of US-made plug and play parts to build robots", "body": "Hi, I’m Paul the Founder of HLabs and we’re making what you need to get a robot to move. \\\n\\\n**TL;DR**\\\nHLabs is an ecosystem of US-made plug and play parts to build robots; an Nvidia Jetson companion board, 2-channel wireless module, FOC control boards, motors and actuators. With HLabs no time is wasted getting things to work. You can focus on what matters. Our launch sale is live right now at [hlaboratories.com](https://hlaboratories.com)\\\n\\\n**Most robots look like college projects**\\\nRight now to make a robot you have to stitch together a bunch of different PCBs with jumper cables and wait weeks for blackbox actuators to arrive from China.\\\nYou spend lots of time debugging why your CAN bus isn’t working, why every actuator performs differently, and meanwhile your wires keep coming loose.\\\n\\\nYou say that you’ll design your own PCBs and controllers to bring everything together but you keep putting it back because something else more important keeps coming up.\\\n\\\nThese problems plague bigger companies too and add a huge amount of additional time to projects. On top of this there’s huge unpredictability in geopolitics and supply chains when sourcing from overseas.\\\n\\\n**It doesn’t have to be this way**\\\nHLabs is making a plug-and-play ecosystem for everything that you need to build a robot. We’re starting with:\n\n* RB1 - A robot main board powered by an Nvidia Jetson. This handles power distribution, compute, and a bunch more.\n* WM1 - 2-channel wireless radio for sending video/data making the RB1 remotely controllable over USB-C.\n* M1 - A pancake motor.\n* ACB3 - An FOC control board with matching connectors to the RB1.\n* A1/A1m - A planetary/cycloidal actuator powered by the ACB3.\n\n![uploaded image](/media/?type=post&id=98674&key=user_uploads/316612/b61549b8-41f6-4ec5-be50-30d521a92762)\n\nThese products abstract away all of the complexity in designing and controlling a robot's electronics. Complicated communication interfaces are replaced with simple python libraries. You can now focus on getting your robot to walk instead of turning on reliably.\n\nOur focus is on working with startups building medium to large size robots like quadrupeds, humanoids, and robot arms!\\\n\\\n\\*\\*There’s a launch sale on right now!\\*\\*\\\nEverything is up for preorder right now with the electronics shipping this summer, and the M1 shipping in the next 1-2 months. You can place an order on our store here while the sale last for this week:\n\n\n\nThanks!", "url": "https://www.ycombinator.com/launches/PfW-hlabs-us-made-robot-actuators-and-electronics", "votes": 13, "created_at": "2026-03-10T20:57:15.085Z" }, { "id": 98675, "title": "HLabs: US-made robot actuators and electronics", "tagline": "An ecosystem of US-made plug and play parts to build robots", "body": "Hi, I’m Paul the Founder of HLabs and we’re making what you need to get a robot to move. \\\n\\\n**TL;DR**\\\nHLabs is an ecosystem of US-made plug and play parts to build robots; an Nvidia Jetson companion board, 2-channel wireless module, FOC control boards, motors and actuators. With HLabs no time is wasted getting things to work. You can focus on what matters. Our launch sale is live right now at [hlaboratories.com](http://hlaboratories.com)\\\n\\\n**Most robots look like college projects**\\\nRight now to make a robot you have to stitch together a bunch of different PCBs with jumper cables and wait weeks for blackbox actuators to arrive from China.\\\nYou spend lots of time debugging why your CAN bus isn’t working, why every actuator performs differently, and meanwhile your wires keep coming loose.\\\n\\\nYou say that you’ll design your own PCBs and controllers to bring everything together but you keep putting it back because something else more important keeps coming up.\\\n\\\nThese problems plague bigger companies too and add a huge amount of additional time to projects. On top of this there’s huge unpredictability in geopolitics and supply chains when sourcing from overseas.\\\n\\\n**It doesn’t have to be this way**\\\nHLabs is making a plug-and-play ecosystem for everything that you need to build a robot. We’re starting with:\n\n* RB1 - A robot main board powered by an Nvidia Jetson. This handles power distribution, compute, and a bunch more.\n* WM1 - 2-channel wireless radio for sending video/data making the RB1 remotely controllable over USB-C.\n* M1 - A pancake motor.\n* ACB3 - An FOC control board with matching connectors to the RB1.\n* A1/A1m - A planetary/cycloidal actuator powered by the ACB3.\n\n![uploaded image](/media/?type=post&id=98675&key=user_uploads/316612/b61549b8-41f6-4ec5-be50-30d521a92762)\n\nThese products abstract away all of the complexity in designing and controlling a robot's electronics. Complicated communication interfaces are replaced with simple python libraries. You can now focus on getting your robot to walk instead of turning on reliably.\n\nOur focus is on working with startups building medium to large size robots like quadrupeds, humanoids, and robot arms!\\\n\\\n\\*\\*There’s a launch sale on right now!\\*\\*\\\nEverything is up for preorder right now with the electronics shipping this summer, and the M1 shipping in the next 1-2 months. You can place an order on our store here while the sale last for this week:\n\n\n\nThanks!", "url": "https://www.ycombinator.com/launches/PfX-hlabs-us-made-robot-actuators-and-electronics", "votes": 3, "created_at": "2026-03-10T20:57:07.912Z" } ] }, { "id": 31081, "name": "One Robot", "slug": "one-robot", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e234115139eb6fced2e2703ae2ba2ee2d691412c.png", "website": "https://www.onerobot.io/", "all_locations": "San Francisco, CA, USA", "long_description": "One Robot builds simulation environments that are realistic to see and realistic to interact with, so robotics teams can train and evaluate robot policies without being bottlenecked by robot time.\r\n\r\nToday, improving a VLA often means more real-world hours: setting up the scene, running trials, resetting, and repeating. This loop is slow, expensive, and hard to scale. For example, material handling and manufacturing assembly tasks, models need far more training and evaluation data than teams can collect in the real world.\r\n\r\nWe use task-specific data to build world model-based simulation environments for hard manipulation tasks (for example, textiles and box folding). These environments help teams run more training and evals, find failure modes faster, and accelerate iteration on action policies with less dependence on real-world data collection and robot availability.\r\n", "one_liner": "World models for robot evals and training.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1771897545, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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/one-robot", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/one-robot.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/112377363/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e234115139eb6fced2e2703ae2ba2ee2d691412c.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": 1279427, "full_name": "Hemanth Sarabu", "title": "Founder/CEO", "founder_bio": "Bringing robots to life using world models and machine learning. Previously built robot learning and perception systems at Industrial Next, Symbio Robotics, NASA JPL, and Google. Bootstrapped geospatial AI company, Crescer AI, to profitability.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hemanth-sarabu/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/602329e071fc2f5cab183561f2406d3252092f70.jpg" }, { "user_id": 3158361, "full_name": "Elton Shon", "title": "Founder/CTO", "founder_bio": "Robotics, SW/FW. Previously built robot learning and control system at Industrial Next and helped build Dojo at Tesla.", "is_active": true, "linkedin_url": "www.linkedin.com/in/elton-shon", "x_url": "https://x.com/eltonbear6996", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dc72bcb74af48da17378db9826fc06748395b439.jpg" } ], "jobs": [ { "id": 93969, "title": "Founding Machine Learning - World Models", "url": "https://www.ycombinator.com/companies/one-robot/jobs/Y0Ex6AF-founding-machine-learning-world-models", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $275K", "equity_range": "0.10% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 93970, "title": "Founding Machine Learning - Eval Layer", "url": "https://www.ycombinator.com/companies/one-robot/jobs/LDM2P6d-founding-machine-learning-eval-layer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $275K", "equity_range": "0.10% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 93971, "title": "Founding Robot Learning", "url": "https://www.ycombinator.com/companies/one-robot/jobs/POydsSA-founding-robot-learning", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $275K", "equity_range": "0.10% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 96233, "title": "Machine Learning Intern ", "url": "https://www.ycombinator.com/companies/one-robot/jobs/tJSlTgB-machine-learning-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$6K - $8K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Python", "Torch/PyTorch", "Machine Learning", "Computer Vision" ] } ], "news": [], "launches": [ { "id": 98129, "title": "One Robot - World models for robots", "tagline": "Building world model-based environments for robot training and evaluation", "body": "![uploaded image](/media/?type=post&id=98129&key=user_uploads/3158361/00dc56f4-3ce6-46b4-afbc-9da0a28bf72f)\n\n**TL;DR**\n\nOne Robot builds world model-based simulations that are realistic to see and realistic to interact with, so robotics teams can train and evaluate robot action models (VLA) without being bottlenecked by robot time.\n\n**The Problem**\n\nImproving a VLA today often means more real-world hours: setting up the scene, running trials, resetting, and repeating. This loop is slow, expensive, and fundamentally unscalable. To generalize, models need far more training and evaluation data than teams can realistically collect in the real world.\n\nHemanth and Elton used to train robots to automate the assembly of parts requiring sub-millimeter precision. As models got better, they hit a surprising bottleneck: it started taking longer to evaluate a new policy than to train it. To answer “Is model B better than model A?”, they had to:\n\nSchedule a physical robot → run tests → reset scene → record failures → tweak → retrain models → repeat.\n\nSimulations should solve this. But existing simulators fall short because they’re either not photorealistic or not physics-realistic. Neither is sufficient for learning and evaluating modern robot policies.\n\n**The Solution**\n\nWe build task-specific world models that learn contact dynamics and visual appearance from robot data, and use them to generate realistic simulation environments for training and evaluation. Instead of relying on generic physics engines, our models predict how objects move and deform under robot actions, achieving photo- and physics-realistic rollouts for hard manipulation tasks like textiles and box folding. These environments help teams run more training and evals, find failure modes faster, and accelerate iteration on action policies with less dependence on real-world data collection and robot availability.\n\n**The Team**\n\nHemanth built ML systems for robots at Google, NASA JPL, Symbio Robotics, and Industrial Next (YC W22). He previously bootstrapped a profitable geospatial AI company and built vehicle simulations at McLaren.\n\nElton spent five years at Tesla, building robotics and large-scale AI infrastructure for factory automation during the Model 3 production ramp and the Dojo supercomputer team. He later joined Industrial Next (YC W22) as head of software, building robot learning and control systems.\n\n**Ask**\n\nIf you or someone you know is training robots for real-world tasks with manipulators, let’s connect! ([founders@onerobot.io](mailto:founders@onerobot.io))\n\n", "url": "https://www.ycombinator.com/launches/PWj-one-robot-world-models-for-robots", "votes": 18, "created_at": "2026-02-25T03:42:19.254Z" } ] }, { "id": 31095, "name": "Asimov", "slug": "asimov", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6d1f298b9c57b01b04001ed5fb4e04350cf49c3.png", "website": "https://tryasimov.ai/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Asimov collects real-world human movement data from households and businesses to train humanoid robots. Unlike factory datasets that capture the same tasks in the same environments, we deliver the full diversity of real human environments, thousands of hours a day to leading labs.", "one_liner": "Real-world human movement data for humanoid robots", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1770974844, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "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/asimov", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/asimov.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tryasimov", "x_url": "https://x.com/tryasimov", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6d1f298b9c57b01b04001ed5fb4e04350cf49c3.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": 1388734, "full_name": "Lyem Ningthou", "title": "Founder", "founder_bio": "Defense tech robotics researcher → building the data layer for humanoid robotics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lyem-ningthou-5a09a4239", "x_url": "https://x.com/lyemningthou", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca99e769565a3c37a267f014c6378c289ff5c2e0.jpg" } ], "jobs": [ { "id": 90230, "title": "Data Collection Specialist", "url": "https://www.ycombinator.com/companies/asimov/jobs/u0cjTqP-data-collection-specialist", "location": "Remote", "type": "Contract", "role": "Operations", "role_type": null, "salary_range": "$20 - $30", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 90832, "title": "Strategic Operations Intern", "url": "https://www.ycombinator.com/companies/asimov/jobs/opG4UcT-strategic-operations-intern", "location": "Berkeley, CA, US / Remote (US)", "type": "Internship", "role": "Operations", "role_type": null, "salary_range": "$20 - $50 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 98597, "title": "Asimov 🤖: On demand human intelligence for robots", "tagline": "We help robotics companies collect human-in-the-home and human-at-work data at scale through a global network of contributors.", "body": "Hi YC! 👋\n\nWe're Anshul and Lyem, co-founders of Asimov. We're building the data infrastructure to enable the GPT-3 moment for humanoid robots.\n\n**TL;DR**\n\nLanguage models trained on trillions of words. Image models trained on billions of photos. Robots are starting from scratch. The bottleneck is diverse, real-world human movement data. We're building the infrastructure to collect and own it at scale.\n\n**🎥 Launch Video**\n\n\n\n**🚨 The Problem**\n\nHumanoid robots need to learn from human movement in diverse environments, but the data to teach them doesn't exist at scale. Existing datasets are narrow, captured largely in controlled factory settings, repeating the same tasks in the same environments. What's missing is diversity: thousands of different people, in thousands of different spaces, doing the full range of things humans actually do.\n\nThe market for robotics training data will dwarf what was spent on language model data, and right now nobody owns the supply chain.\n\n**🚀 Our Solution**\n\nAsimov empowers individuals worldwide to earn a living by recording what they already do: cooking, cleaning, working, living. That means data from thousands of different people, homes, and workplaces: the task and environment diversity that factory-only datasets simply can't replicate.\n\nWe've built the full stack to make it happen: proprietary hardware, annotation tooling, and a vertically integrated pipeline that makes our data higher quality and cheaper to produce than anything on the market. The largest robotics labs in the world are already our customers.\n\n**👨‍💻 The Team**\n\nAnshul brings deep data infrastructure expertise from Scale AI and Lyem built data pipelines for the United States Air Force. We’ve been building together since we were roommates in college, and previously co-founded a startup they grew to six figures in revenue.\n\n**🙏 Our Ask**\n\n1\\. **If you're a robotics company looking for data**, we'd love to talk. We're already supplying the largest players in the space and can deliver at scale starting today. Reach out at [founders@tryasimov.ai](mailto:founders@tryasimov.ai).\n\n2\\. **If you own a restaurant, warehouse, or any business**, anywhere in the world, and are interested in partnering, let us know. Many of our partners are able to entirely cover their workers' salaries by having them wear our collection kits while they work. Reach out at [founders@tryasimov.ai](mailto:founders@tryasimov.ai).\n\n3\\. **No matter where you live**, you can turn your daily routine into a living. Sign up at [tryasimov.ai](http://tryasimov.ai).", "url": "https://www.ycombinator.com/launches/PeH-asimov-on-demand-human-intelligence-for-robots", "votes": 11, "created_at": "2026-03-09T19:38:04.886Z" } ] }, { "id": 31120, "name": "Kyten Technologies", "slug": "kyten-technologies", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/966b1340bdeb6a7d80ba3f1c34c89a62f57a4bff.png", "website": "https://kytentech.com", "all_locations": "Seattle, WA, USA", "long_description": "Kyten Technologies is building a factory to manufacture custom aerospace-grade battery packs. \r\n100,000+ drones, submarines, and satellites are being built in the US, but the legacy supply chain can't keep up. \r\nDuring our six years at Starlink, we put 5,000+ battery packs into space. Now, we're bringing rapid development and volume production of aerospace-grade battery packs to the entire industry.", "one_liner": "Custom Aerospace-Grade Battery Packs", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1769535029, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Inactive", "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/kyten-technologies", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/kyten-technologies.json", "year_founded": 2026, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/111249039/admin/dashboard/", "x_url": "https://x.com/KytenTech", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/966b1340bdeb6a7d80ba3f1c34c89a62f57a4bff.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": 3147934, "full_name": "Cooper McBride", "title": "Founder", "founder_bio": "In the span of six years, Cooper went from an intern at Tesla to building and leading 30+ person engineering teams at SpaceX and Shield AI. His teams played a critical role in each company's industry-leading development pace, production rates, and reliability.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/cooper-mcbride/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/83fbaee0b2a501468f9a73c063eafb4828daa534.jpg" }, { "user_id": 2153211, "full_name": "Lucas Maddox", "title": "Founder", "founder_bio": "My startup failed. I'm back at SpaceX working as an engineering lead.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/lucasmaddox", "x_url": "https://x.com/maddox_lucas", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a3e976c022f6e658bee111cfb46008111ab4be10.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97246, "title": "Kyten - The modern aerospace battery pack supplier", "tagline": "Custom aerospace-grade battery pack factory", "body": "Hey everyone, we’re [Cooper](https://www.linkedin.com/in/cooper-mcbride/) and [Lucas](https://www.linkedin.com/in/lucasmaddox/) - cofounders of [Kyten Technologies](https://www.kytentech.com/)👋\n\n### **TL;DR**\n\nAmerican manufacturers are racing to build 100,000+ autonomous vehicles for the air, sea, and space. Every vehicle needs a custom, aerospace-grade battery pack, but the supply chain delivering them is holding programs back. We’re changing that.\n\nDuring our six years at **Starlink**, we put over 5,000 battery packs into space. Now, we’re bringing rapid development and volume production to the entire industry.\n\n**_Ask_:** We have capacity for a few pilot customers—if you know any sea, air, or space manufacturers, please send them our way at [lucas.maddox@kytentech.com](mailto:lucas.maddox@kytentech.com).\n\n![uploaded image](/media/?type=post&id=97246&key=user_uploads/2153211/dad68a31-f6b9-4416-b89a-88ec56504144)\n\n### 🐌 The aerospace supply chain is holding OEMs back\n\nEvery drone, submarine, and satellite needs a custom battery pack. But as demand grows into the tens of thousands per year, the supply chain is a generation behind:\n\n* **6-12 months** to design and qualify custom builds.\n* **6-12 months** to ramp to high volume production.\n* **At least 5x** the cost of vertically integrating the product itself.\n\nForced vertical integration results in slower programs, higher costs, and significant delivery risk.\n\n### 🛠️ Kyten builds aerospace battery packs fast and at high volume\n\nWe spent a combined eight years at **Starlink** and **Shield AI** driving down lead times and increasing production capacity of aerospace-grade battery packs. Kyten builds on this experience to deliver high volumes in weeks, not 12+ months:\n\n* **1 week** to design via adaptive architecture.\n* **1 week** to qualify via automated in-house testing.\n* **1 week** to volume production via software-defined manufacturing.\n* **1,000s of units/year** per product.\n\n![uploaded image](/media/?type=post&id=97246&key=user_uploads/2153211/0ec4b193-79f5-4f5d-ba72-6c8cd9bf1874)\n\nUnlike the legacy aerospace supply chain, Kyten thinks like a modern manufacturer. If you, or anybody you know, needs custom aerospace-grade battery packs, please reach out at [lucas.maddox@kytentech.com](mailto:lucas.maddox@kytentech.com) 🦅\n\n", "url": "https://www.ycombinator.com/launches/PIU-kyten-the-modern-aerospace-battery-pack-supplier", "votes": 17, "created_at": "2026-01-28T22:03:08.669Z" } ] }, { "id": 31135, "name": "RoboDock", "slug": "robodock", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d6ce96c0e4a1cbd7e0458649e2af7fa551e2bfb.png", "website": "https://www.robodock.tech/", "all_locations": "San Francisco, CA, USA", "long_description": "RoboDock builds robots that automate depot operations, like charging and vehicle checks, for electric and autonomous vehicle fleets. We turn fleet depots from manual sites into self-running systems that lower operational costs and increase vehicle uptime.", "one_liner": "Robots that run autonomous depots for autonomous fleets.", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1769119894, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "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/robodock", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/robodock.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/robodock-tech/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/robodock", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d6ce96c0e4a1cbd7e0458649e2af7fa551e2bfb.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": 3028822, "full_name": "Zinny Weli", "title": "Founder/CEO", "founder_bio": "Zinny Weli is co-founder and CEO of RoboDock.\n\nShe previously led autonomous drone charging infrastructure at Zipline and developed the charging system for Amazon’s home robot, while advancing robotic manipulation R&D for next-generation products. Her expertise spans real-world robotic deployment, from perception-driven manipulation to production-scale hardware systems.\n\nZinny holds a BSME from the University of Michigan (top 1%) and an MSME (Robotics) from Stanford University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zinnyweli", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c0039cb5b55365da303f8a7705618e0582295f15.jpg" }, { "user_id": 2727198, "full_name": "Celine Wang", "title": "Founder/CTO", "founder_bio": "Celine Wang is the co-founder and CTO of RoboDock. \n\nPreviously, she was a senior mechatronics engineer at Plus, integrating actuator and sensor systems to enable autonomous semi-trucks. Her background includes deep field engineering across rural Indonesia, UNESCO heritage sites in Peru, and wildlife reserves in China. She holds B.S. and M.S. degrees in mechanical engineering from Stanford and brings a builder’s mindset shaped by years of deploying complex systems.\n\nwww.celinewang.me", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/celinewang16/", "x_url": "https://x.com/nicenewgal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/667c8724147a8dd0b061978f60c1546417ae464b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97957, "title": "RoboDock: Autonomous Depots for Autonomous Fleets", "tagline": "Robots that automate depot operations for AV fleets.", "body": "**TL;DR:** Autonomous vehicles are scaling fast, but the depots that charge, inspect, and operate them are still manual. RoboDock automates charging and vehicle inspections so fleets can finally be end-to-end autonomous.\n\n\n\n🚧 **The problem**\n\nAutonomous vehicles are no longer the bottleneck. **Infrastructure is.**\n\nBy 2035, there will be \\~76M autonomous vehicles globally, and the AV market is expected to grow from \\~$200B today to \\~$3T.\n\nYet the depots that power these fleets are still manually run. If you were to go watch one, you’d be shocked at how many people it takes to maintain the vehicles.\n\nToday, AV and EV fleet depots rely on people to:\n\n* Plug and unplug vehicles into chargers\n* Catch missed or failed charge events\n* Manually inspect vehicles before and after deployment\n* Maintain road-readiness under tight turnaround times\n\nThis breaks the autonomy loop.\n\nThe pain these fleets experience?\n\n* \\~$900k per depot per year in charging labor and overhead\n* Redundant chargers and vehicles to compensate for human error\n* 2–3 year timelines and $8M+ CapEx just to build new depots\n* Vehicle downtime from missed issues and reactive maintenance (up to $650k per depot per year) → less time making money on the road\n\n**Autonomous fleets can drive themselves, but they still can’t operate themselves.**\n\n![uploaded image](/media/?type=post&id=97957&key=user_uploads/2727198/c431cd46-f80c-45da-982a-55bbc39ea137)\n\n✅ **The solution**\n\n**RoboDock is building autonomous depots for autonomous fleets.**\n\nWe deploy a robotic system that:\n\n* Physically plugs vehicles into chargers\n* Verifies successful charge initiation\n* Performs automated post-trip vehicle inspections every time a vehicle returns\n\nOur system works with **existing depots, existing chargers, and any vehicle type**. No layout changes and no rebuilds necessary.\n\nCharging and inspections become:\n\n* Fully autonomous\n* Safe and consistent\n* Closed-loop and self-optimizing\n\nWe’re turning depots from manual cost centers into **self-running infrastructure.**\n\n**🧠 Why RoboDock**\n\n* **Hardware-first autonomy**: We automate the physical work that actually limits fleet scale\n* **Robotic charging**: No humans, no missed plugs, no idle vehicles\n* **Safety-first inspections**: Vision + thermal sensing catch issues humans can’t see consistently\n* **Retrofit, not rebuild**: Deploy into live depots with zero operational disruption\n* **Designed for scale**: Every vehicle, every return, every day improves the system\n\nThis is how autonomy actually becomes autonomous.\n\n**👩🏾‍🔧👩🏻‍💻 Our team**\n\nWe’ve spent our engineering careers building real-world autonomy. We met seven years ago at Stanford, when Zinny was Celine’s TA.\n\n**Zinny Weli — CEO & Co-Founder**\n\nLed design and deployment of autonomous charging systems for electric drones at Zipline, and designed the charging system for Amazon's first home robot and its advanced robotics manipulation platform.\n\n**Celine Wang — CTO & Co-Founder**\n\nFormer vehicle platform engineer at Plus, where she retrofitted autonomous systems onto semi-truck fleets by integrating mechanical, electrical, and software stacks end-to-end. \n\nTogether, we bring deep experience deploying autonomy where it actually breaks: the real world.\n\n![uploaded image](/media/?type=post&id=97957&key=user_uploads/2727198/78d912fd-def0-446f-91a6-d14d86babb5b)\n\n**🙏 Our ask**\n\nWe’re onboarding early pilot partners and would love introductions to:\n\n* AV & EV fleet operators\n* Infrastructure, parking, and depot operations team\n* Ports, logistics yards, and large fleet facilities\n* Hardware and systems minded investors thinking about autonomy at scale\n* Robotics/computer vision engineers\n\nIf you’re thinking about how fleets operate, we should talk! Email [zinny@robodock.tech](mailto:zinny@robodock.tech) or [celine@robodock.tech](mailto:celine@robodock.tech).", "url": "https://www.ycombinator.com/launches/PTx-robodock-autonomous-depots-for-autonomous-fleets", "votes": 13, "created_at": "2026-02-19T15:09:01.755Z" } ] }, { "id": 31141, "name": "OctaPulse", "slug": "octapulse", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b3e0172397f4c3479d08f16556c96343e2d1c9b1.png", "website": "https://www.tryoctapulse.com/", "all_locations": "Frisco, TX, USA", "long_description": "OctaPulse is building the robotics layer for seafood production. Aquaculture is the fastest-growing food sector and already produces more seafood than commercial fishing, yet the people who breed and process fish still make thousands of decisions a day with almost no data about the fish in front of them, and much of the most important work is still done by hand, one fish at a time.\n\nWe put cameras where fish are already handled, turn every image into measurements, and give farms and plants the tools to act on them. Today that is two products: Phenotyping, which measures every fish for shape, size and condition and links it to its family for breeding decisions, and Digital Twin, which places cameras on processing lines and farm sites onto the floor plan with live views, automatic counts and a built-in AI assistant.\n\nThe same per-fish measurements are the foundation for Plant Robotics: robot cells that handle whole fish on the processing line, working alongside the people there. Fish are wet, slippery, soft and never the same twice, which is exactly why this work is still manual and why it needs measurement-driven robots built for food plants rather than rigid grippers and tabletop demos. We are now selecting processing plants for the first pilots on real lines.\n\nWe signed a 6-figure paid pilot with the largest trout producer in the United States, and every deployment adds labeled images to a proprietary multi-species dataset that improves our models across species and becomes the brain for autonomous seafood production.", "one_liner": "OctaPulse builds computer vision and robotics for fish farms and…", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1766417530, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Climate" ], "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/octapulse", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/octapulse.json", "year_founded": 2025, "city": "Frisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/106495616", "x_url": "https://x.com/tryoctapulse", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b3e0172397f4c3479d08f16556c96343e2d1c9b1.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": 1862013, "full_name": "Paul Grech", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of OctaPulse, deploying computer vision, edge computing, and robotics to make fish farms autonomous. CMU Robotics Institute Pathways Fellow, and prior to CMU sold enterprise portfolio risk and attribution products to Tier 1 asset managers while at Bloomberg LP. Named as a Future Leader in two national aquaculture organizations.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/paul-l-grech-b4359591/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/38c83f36bc6e45381de0320ee758b2963ca28a84.jpg" }, { "user_id": 2027227, "full_name": "Rohan Singh", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of OctaPulse, building the robotics layer for seafood production: computer vision, edge computing and robots for fish farms and processing plants. CMU AI Engineering MS, former D1 tennis player at Texas A&M, with production robotics and software experience across Tesla, NVIDIA, ASML and Toyota.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rohxnsxngh/", "x_url": "https://x.com/rohxnsxngh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/afad5228d4c889eb9736752f3c8169cb607f9c87.jpg" } ], "jobs": [ { "id": 116350, "title": "Robotics Engineer", "url": "https://www.ycombinator.com/companies/octapulse/jobs/jVzcCIj-robotics-engineer", "location": "Dallas, TX", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$130K - $165K", "equity_range": "0.05% - 0.20%", "experience": "2+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Machine Learning", "Computer Vision" ] }, { "id": 116351, "title": "Hardware Engineer", "url": "https://www.ycombinator.com/companies/octapulse/jobs/23j8aer-hardware-engineer", "location": "Dallas, TX", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$120K - $145K", "equity_range": "0.05% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "C", "C++", "Python", "Linux", "Computer Vision", "Firmware", "PCB design", "Altium", "SolidWorks" ] }, { "id": 116352, "title": "Forward Deployed Engineer, Chile", "url": "https://www.ycombinator.com/companies/octapulse/jobs/HyUM1YI-forward-deployed-engineer-chile", "location": "Puerto Montt, Chile", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "", "equity_range": "0.02% - 0.10%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Python", "Linux", "Computer Vision" ] } ], "news": [ { "title": "The Top Bio and Health Startups in YC W26 - The Silicon Valley Post", "url": "https://svpost.com/articles/top-bio-health-startups-yc-w26/", "date": "Mar 17, 2026" }, { "title": "News Features | Specialty Food Association", "url": "https://www.specialtyfood.com/news-media/news-features/member-press-releases/acme-smoked-fish-foundation-announces-2025-seafood-industry-climate-award-recipients/", "date": "Feb 04, 2026" } ], "launches": [ { "id": 97974, "title": "OctaPulse - Building the Autonomous Aquaculture Farms of the Future", "tagline": "Robotics and Computer Vision for Aquaculture", "body": "![uploaded image](/media/?type=post&id=97974&key=user_uploads/2027227/8f01baa3-54e5-4483-b0aa-afbef535bfef)\n\n**TL;DR:** We're building robotics and computer vision for fish farming. Automated grading, phenotyping, and breeding optimization. 6-figure annual contract with North America's largest trout producer. Looking for intros to delta robot manufacturers and aquaculture connections.\n\n---\n\nWe're building AI-powered computer vision and robotics for aquaculture. Automated fish grading, phenotyping for breeding programs, and health monitoring.\n\n**Why it matters:** Aquaculture is a $350 billion industry, the fastest-growing protein sector on Earth, and it needs to grow 30%+ by 2030 to meet global seafood demand. But most farms still grade and sort fish by hand. It's slow, stressful for the animals, and limited to tiny sample sizes. You can't optimize breeding, feeding, or harvest timing without accurate data, and right now, most farms don't have it.\n\n**Where we are:** We're deployed with Riverence, North America's largest trout producer, on a 6-figure annual contract. Model accuracy is at 95%+, and we've cut inspection time from 5 minutes to under 30 seconds per fish. We're now integrating delta robotics for automated sorting.\n\n**Team:** Paul leads commercial and partnerships as a Future Leader in the National Fisheries Institute and Coalition for Sustainable Aquaculture. Rohan leads engineering, with robotics and AI experience from CMU, ASML, Toyota, Tesla, and NVIDIA.\n\n**Asks:**\n\n* Intros to delta robot manufacturers (ABB, Fanuc, Omron, Igus, or emerging players)\n* Connections to salmon, trout, or finfish farms in Chile, Norway, Scotland, or the Mediterranean\n\nHappy to connect with anyone in computer vision, AgTech, robotics, or climate tech. The farms that adopt automation first will define this industry for the next 50 years.\n\nLet's chat. 🐟\\\n\\\n\n\n---", "url": "https://www.ycombinator.com/launches/PUE-octapulse-building-the-autonomous-aquaculture-farms-of-the-future", "votes": 160, "created_at": "2026-02-20T04:13:07.065Z" } ] }, { "id": 31142, "name": "Beyond Reach Labs", "slug": "beyond-reach-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/68e78dbe382d51a7e7c3d02cc8ca43db9513c3d4.png", "website": "https://www.beyondreachlabs.com", "all_locations": "New York City, NY, USA", "long_description": "At Beyond Reach Labs we are building solar panels for Space that grow from the size of a dining table to a football field in orbit.\r\n\r\nMitch and Pele met 13 years ago as freshmen at UPenn studying mechanical engineering. Mitch recently got his PhD at Carnegie Mellon working with NASA on kilometer-scale deployable structures, and Pele spent seven years at SpaceX leading Dragon parachute engineering, safely returning astronauts from space.\r\n\r\nThe collective satellites today use around 20MW, roughly the output of a datacenter on earth, but by 2030 there is a demand for over 10GW, a 500x increase, largely driven by orbital datacenters, space stations, and lunar outposts.\r\n\r\nIf you want more power, your only option is to launch larger solar panels, which quickly become fragile or impractically expensive. As a result, power constraints already determine whether missions or industries can exist at all.\r\n\r\nBut at Beyond Reach Labs we have introduced a new class of deployable solar panels giving satellites 10x more usable power without increasing launch mass or volume. This works because our patented deployable design changes geometry in space, allowing for us to reach 10x longer while remaining rigid.\r\n", "one_liner": "Space solar arrays that grow to the size of a football field in orbit", "team_size": 15, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1770079967, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "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/beyond-reach-labs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/beyond-reach-labs.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/beyond-reach-labs-inc/", "x_url": "https://x.com/beyondreachlabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/68e78dbe382d51a7e7c3d02cc8ca43db9513c3d4.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/81/1774388415-88b1c74e815f53dedc587991f2589545/e76753a1cc9021eb2a0b8a7ce4069687.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022734Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=71461c2ea5e4ccb82572d62b36119d5382a81edea616b0f4e35f99a8d14a8e42", "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/dd6e888880df0f8c2fec8fad7e198b1597403ccd.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e831624725aab8844bf44ae0b0a73090f33eb6df.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/80e743d9d5d97759603647da535182324ea85dae.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 2428039, "full_name": "Mitchell Fogelson", "title": "Founder/CEO", "founder_bio": "Hey, my name is Mitch Fogelson. I earned my PhD at CMU, working with NASA on the design, simulation, and optimization of kilometer-scale deployable space structures. \n\nI have published in the top robotics and aerospace conferences and journals, and recieved the Editor Choice Best Paper Award from ASME JMD 2023. \n\nBeyond Reach Labs is building space megastructures to be deployed from a single rocket launch, accelerating new space capabilities.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mitchell-fogelson", "x_url": "https://x.com/fogmb", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/83cad38769cfff88d7b086c162eb28f3845d29f8.jpg" }, { "user_id": 3155260, "full_name": "Pele Collins", "title": "Founder/CTO", "founder_bio": "I have been working on some of the hardest technical challenges for almost a decade. I spent 6 years as SpaceX leading the engineering and production teams for the parachutes and between that also worked as the Plasma-Facing-Components Technical team lead at Commonwealth Fusion Systems. \n\nNow as co-founder of Beyond Reach Labs, we are currently working to enable space megastructures to be deployed from a single rocket launch and to accelerate the design of deployable space systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pelecollins/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2d72927214355364bc38b1873e926f12756823a3.jpg" } ], "jobs": [ { "id": 109211, "title": "Mechanical Engineer ", "url": "https://www.ycombinator.com/companies/beyond-reach-labs/jobs/zqoyVzB-mechanical-engineer", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $120K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 109212, "title": "Mechanical Engineer Intern (Spring 2027)", "url": "https://www.ycombinator.com/companies/beyond-reach-labs/jobs/5pIHRqu-mechanical-engineer-intern-spring-2027", "location": "New York City", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$28 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 109213, "title": "Mechanical Engineer Intern (Summer 2027)", "url": "https://www.ycombinator.com/companies/beyond-reach-labs/jobs/D9qRm4E-mechanical-engineer-intern-summer-2027", "location": "New York City", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$28 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 109214, "title": "Development Test Engineer", "url": "https://www.ycombinator.com/companies/beyond-reach-labs/jobs/5R93Zka-development-test-engineer", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $120K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 112775, "title": "Talent Acquisition Manager", "url": "https://www.ycombinator.com/companies/beyond-reach-labs/jobs/cgzgRwk-talent-acquisition-manager", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$85K - $110K", "equity_range": "0.05% - 0.15%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112776, "title": "Strategy and Growth Lead", "url": "https://www.ycombinator.com/companies/beyond-reach-labs/jobs/DSD1AYi-strategy-and-growth-lead", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $190K", "equity_range": "0.25% - 1.00%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Brooklyn-based Beyond Reach Labs inks 16K lease at Industry City - Crain's New York Business", "url": "https://www.crainsnewyork.com/real-estate/commercial/beyond-reach-labs-industry-city-lease-spacex-veteran-20260918/", "date": "Sep 17, 2026" }, { "title": "North American Clean Energy - One Orbital Solar Array at a Time from its New Industry City Headquarters", "url": "https://www.nacleanenergy.com/solar/one-orbital-solar-array-at-a-time-from-its-new-industry-city-headquarters", "date": "Sep 17, 2026" }, { "title": "Beyond Reach Labs Opens 16,000-Square-Foot Brooklyn Facility To Build Solar Arrays For Space Stations And Orbital Data Centers", "url": "https://pulse2.com/beyond-reach-labs-opens-16000-square-foot-brooklyn-facility-to-build-solar-arrays-for-space-stations-and-orbital-data-centers/", "date": "Sep 16, 2026" }, { "title": "Beyond Reach Labs unveils line of large deployable solar arrays - SpaceNews", "url": "https://spacenews.com/beyond-reach-technologies-unveils-line-of-large-deployable-solar-arrays/", "date": "Aug 24, 2026" }, { "title": "Beyond Reach Labs Unveils Flarewing Deployable Solar Arrays", "url": "https://payloadspace.com/beyond-reach-labs-unveils-flarewing-deployable-solar-arrays/", "date": "Aug 24, 2026" } ], "launches": [ { "id": 97994, "title": "Beyond Reach Labs: Solar Panels in Space the size of football-fields", "tagline": "The future in Space is unfolding", "body": "**TL;DR** We’re building deployable solar arrays that expand from the size of a dining table to a football field in orbit. We already have several LOIs from Space companies totaling over $175M and are planning our first in-space demo flight for Q2 2027.\n\n\n\n# _The Problem:_\n\nJust like the trunk of your car on a road trip, a rocket ride to space is volume-constrained.\n\nBut the critical systems that enable Space services — solar arrays and thermal radiators — get better as they get bigger. Power generation and heat dissipation both require a large surface area, and both must be tightly packed for launch.\n\n![uploaded image](/media/?type=post&id=97994&key=user_uploads/3155260/61659d57-59a7-45a9-bb77-aada242bc186)\n\nAs space infrastructure scales, power demands per launch are rising fast. That means more watts generated and rejected. Existing deployable structures don’t scale to meet this demand - they’re unreliable, too expensive, take up too much volume, and, importantly for controlling the satellite, too flimsy after deployment.\n\nPower generation and heat dissipation are becoming the limiting factors for larger, more capable spacecraft.\n\n# _The Solution:_\n\nBeyond Reach Labs builds solar panels and thermal radiators for space that grow from the size of a dining table to a football field in orbit, supporting the growing demand for power from orbital data centers, commercial space stations, and lunar outposts.\n\n![uploaded image](/media/?type=post&id=97994&key=user_uploads/3155260/d99b0409-8374-4f34-abab-4d7c6de81717)\n\nOur **patented deployable structures** dramatically improve both stowage efficiency and structural stiffness, enabling kilometer-scale systems from a single launch.\n\nWe’re starting with deployable solar arrays, where we’ve already secured several multi-million dollar LOIs from customers building next-generation space platforms.\n\nOur first flight demonstration is targeted for late Q2 2027.\n\n# _Why now?_\n\nPower demand in orbit is exploding… scaling from \\~**50 Megawatts today to >500 Gigawatts by 2035** (a 10,000x increase), driven by mega-constellations and in-space data centers - and the deployment bottleneck is becoming critical.\n\n![uploaded image](/media/?type=post&id=97994&key=user_uploads/3155260/15ea5164-dec9-48a4-a7b9-c29861dde096)\n\n# _Why us?_\n\n**Pele Collins:** \\~7 years at SpaceX leading parachute engineering & production, supporting 30+ Dragon missions — designing, qualifying, and flying mission-critical space hardware.\n\n**Dr. Mitchell Fogelson:** PhD from Carnegie Mellon focused on the design, optimization, and simulation of large deployable space structures with NASA - and the inventor of BRL’s core technology.\n\nWe’ve been building together since freshman year at UPenn (2013).\n\n![uploaded image](/media/?type=post&id=97994&key=user_uploads/3155260/adf86f6f-da51-46d2-a2bb-e5360ca6037f)\n\n# Long-term vision\n\nNear-term: Make deployables boring, trustworthy, and scalable for today’s missions.\n\nLong-term: Enable kilometer-scale space infrastructure — including artificial-gravity stations and persistent human presence in space.\n\n![uploaded image](/media/?type=post&id=97994&key=user_uploads/3155260/a3ea1c41-9f88-4a88-b78e-4b78f2d8a543)\n\nIf this resonates, please reach out to us here: [founders@beyondreachlabs.io](mailto:founders@beyondreachlabs.io)\n\n# **Links**\n\nWebsite: \n\nPele: \n\nMitch: ", "url": "https://www.ycombinator.com/launches/PUY-beyond-reach-labs-solar-panels-in-space-the-size-of-football-fields", "votes": 23, "created_at": "2026-02-19T23:11:27.860Z" } ] }, { "id": 31144, "name": "Milliray", "slug": "milliray", "former_names": [ "DroneTector Ltd", "DroneTector", "Milliray (formerly DroneTector)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a4a1552aeba914f75657392e47de071913dbe0bc.png", "website": "https://milliray.com/", "all_locations": "London, England, United Kingdom", "long_description": "We make radars that can see small drones.\r\n\r\nAs drones evolve faster than air defenses, detection has fallen behind. Even $50 drones now present a major threat to airports, critical infrastructure, and front-line defense.\r\n\r\nWe solve this by building high-frequency radar systems, designed from the ground up to detect even the most challenging low-signature targets. This allows us to identify and track nano drones like no other solution, letting you know what's truly in your airspace. ", "one_liner": "Technology to detect and track small drones", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Drones", "launched_at": 1768863894, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Drones" ], "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/milliray", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/milliray.json", "year_founded": null, "city": "London", "country": "GB", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a4a1552aeba914f75657392e47de071913dbe0bc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 3205024, "full_name": "Matthew Moore", "title": "Founder/CEO", "founder_bio": "DroneTector Founder | PhD in Physics from St Andrews | Millimetre-Wave Radar", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mmoore2/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5f175c33b5244bb17e2de3756b6a1b8ec389e57e.jpg" }, { "user_id": 3265439, "full_name": "Thomas Doherty", "title": "Founder", "founder_bio": "DroneTector Co-Founder | Oxford DPhil Atomic & Laser Physics | St Andrews MPhys Theoretical Physics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/thomas-doherty-940b87302", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e2338dfb4090a3fe31e0fc44391a635646adebcb.jpg" }, { "user_id": 3265268, "full_name": "Jordina Frances de Mas", "title": "Founder", "founder_bio": "DroneTector Co-Founder | PhD in CS (Automated Reasoning) | Formal Methods, Mathematics & Physics", "is_active": true, "linkedin_url": "https://linkedin.com/in/jordina-f-442259329", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/688e34542284c646518a440f966b0e6b93537567.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97990, "title": "DroneTector: high-resolution radars to detect small drones", "tagline": "We build sensors to detect the most challenging drones.", "body": "**TL;DR:** Drone threats have evolved. Detection technology hasn’t and makes lots of mistakes. We solve this with a suite of sensors, including our millimeter-wave radar, purpose-built for the hardest targets. If you’re responsible for countering drone threats, get in touch at [founders@dronetector.com](mailto:founders@dronetector.com).\n\n**The problem**\n\nSmall drones are now a security problem. They’re cheap, widely available, and increasingly capable. As a result, they’re showing up in places they shouldn’t – from airports and critical infrastructure to prisons and defense environments.\n\nDetecting them reliably, however, is still a hard problem.\n\nMost drone detection systems weren’t designed for small, low-cost drones. False positives are common, and real threats are missed.\n\nThat’s why we’re building [@DroneTector](https://bookface.ycombinator.com/company/31144).\n\n**Our solution** \n\nDroneTector provides millimeter-wave radar engineered to detect small drones that others miss. Integrated with our camera and acoustic arrays, we deliver reliable detection against the most challenging targets.\n\nSee our technology in action: \n\nOur sensors can operate as a standalone solution or as part of a distributed detection network. They’re highly scalable, adaptable to complex environments, and able to detect drones that other solutions simply can’t. \n\n**The team**\n\nWe’re a team of PhDs from top UK universities with highly relevant expertise. We’ve been supported by the **UK MoD’s Defence and Security Accelerator**, **NATO DIANA** and the **Royal Academy of Engineering**. \n\n**Dr Matthew Moore (CEO) -** Matthew holds a PhD from the University of St Andrews, specializing in millimeter-wave radar for drone detection. He has extensive RF engineering experience and is a Royal Academy of Engineering Enterprise Fellow. \n\n**Dr Thomas Doherty (CTO) -** Thomas holds a PhD from the University of Oxford, and has a decade of experience in optical and laser technologies. He brings engineering physics expertise and is a Royal Academy of Engineering Enterprise Fellow. \n\n**Dr Jordina Frances de Mas (COO) -** Jordina holds a PhD from the University of St Andrews, focusing on automated reasoning. She brings deep expertise in machine learning and algorithmic optimization. \n\n**Our ask** \n\nIf you’re responsible for countering the drone threat – **in airports, critical infrastructure, venues, VIP protection, or defense** – we’d love to talk. Contact us at [founders@dronetector.com](mailto:founders@dronetector.com).", "url": "https://www.ycombinator.com/launches/PUU-dronetector-high-resolution-radars-to-detect-small-drones", "votes": 10, "created_at": "2026-02-19T22:20:18.365Z" } ] }, { "id": 31156, "name": "Ventura", "slug": "ventura", "former_names": [ "Autola" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/da34d67bc7bfb583fad0d2c587e602fbe787b210.png", "website": "https://www.ventura.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Ventura builds the AI workforce for distributors and manufacturers, starting with quoting and order entry. It plugs into your existing ERP, follows your SOPs, and learns your team's tribal knowledge - getting smarter with every completed task.", "one_liner": "AI Workforce for Distributors and Manufacturers", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1772945697, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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/ventura", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/ventura.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getventura", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/da34d67bc7bfb583fad0d2c587e602fbe787b210.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": 490571, "full_name": "Swen Koller", "title": "Founder/CEO", "founder_bio": "Previously founded and exited a B2B SaaS platform for wholesale distributors in Europe. MS Engineering + MBA, Harvard. Forbes 30 Under 30. Ex-BCG.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/swenkoller/", "x_url": "https://x.com/swekol", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f5c3e0e0d0ad2dc56d86d58b4001517124a376a5.jpg" }, { "user_id": 797206, "full_name": "Jack Collins", "title": "Founder/CTO", "founder_bio": "Founding Engineer at Develop Health, where I owned a product responsible for half the company’s revenue. We went 0 to $7M ARR in 14 months with a team of 5. \n\nCreated magentic, an open-source Python framework for LLMs (2k+ GitHub stars). Irish Mathematical Olympiad finalist. MS in Computing (Machine Learning), Imperial College London.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jackmpcollins/", "x_url": "https://x.com/jackmpcollins", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f1f461ab5ac60b09ad17bda8d56292644c4f4320.jpg" } ], "jobs": [ { "id": 93338, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/ventura/jobs/SEb1p8Y-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $220K", "equity_range": "0.50% - 1.75%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Google Cloud", "Python", "TypeScript", "Next.js" ] }, { "id": 103442, "title": "Founding GTM", "url": "https://www.ycombinator.com/companies/ventura/jobs/JBaMOkO-founding-gtm", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $170K", "equity_range": "0.25% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113408, "title": "Founder’s Associate / Chief of Staff", "url": "https://www.ycombinator.com/companies/ventura/jobs/RRUsMtc-founder-s-associate-chief-of-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $170K", "equity_range": "0.25% - 1.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 98814, "title": "Ventura - AI Teammates for Industrial Distributors", "tagline": "We automate quoting and order processing. Distributors win more business.", "body": "Hey everyone, we’re [Jack](https://www.linkedin.com/in/jackmpcollins) and [Swen](https://www.linkedin.com/in/swenkoller/) - cofounders of [Ventura](https://www.ventura.ai) 👋\n\n**TL;DR**\n\nIndustrial distributors spend billions of dollars a year on inside sales teams whose primary job is manually typing quotes and orders into ERPs. Ventura automates that work. Reps go from doing data entry to approving AI-generated quotes. Response times drop from hours to minutes, and distributors win more business.\n\n\n\n**❌ The Problem**\n\nIndustrial distribution is an $8 trillion industry. It keeps the construction industry supplied and factories running. But the tools running it haven't kept up.\n\nA typical distributor gets hundreds of quote and order requests every day - over email, PDF, Excel, handwritten fax, and phone. Every one has to be manually read, interpreted, and typed into the ERP. By a human.\n\nThe best salespeople in the industry spend their days on data entry instead of selling.\n\n**✅ The Solution**\n\nVentura plugs into the ERP distributors already run on. Most customers are live within days. Ventura interprets the incoming request, drafts a quote or order, and provides an interface for reps to review Ventura’s output. The result then gets submitted to the ERP.\n\n**👋 The Team**\n\n![uploaded image](/media/?type=post&id=98814&key=user_uploads/490571/920c9dc4-5f6c-4f68-bc51-eb8302bda77d)\n\nSwen (CEO) — Advised steel, cement, and industrial machinery manufacturers as a consultant at BCG, then co-founded and exited a process automation platform for European wholesale distributors. While doing his MBA at Harvard, he embedded with a $2bn distributor to build their AI sales automation from scratch. That became Ventura.\n\nJack (CTO) — Has been building with AI Language Models since before they became large. Founding Engineer at Develop Health, where he automated back-office operations in healthcare with AI - the same class of problems we're solving for distributors. The company scaled from zero to $7M ARR in 14 months with a team of 5.\n\n🤝 **Our Ask**\n\nAre you a distributor or manufacturer with a large inside sales or customer service team? We'd love to show you what Ventura can do.\n\n📧 Reach out: [founders@ventura.ai](mailto:founders@ventura.ai)\n\n🌐 Request a demo: [www.ventura.ai](http://www.ventura.ai) ", "url": "https://www.ycombinator.com/launches/Phm-ventura-ai-teammates-for-industrial-distributors", "votes": 9, "created_at": "2026-03-15T16:02:21.097Z" } ] }, { "id": 31158, "name": "Terranox AI", "slug": "terranox-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f32ec888cb2d0eee4fa5e89a1e14a8af2c2f61f.png", "website": "https://terranox.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Terranox is the first vertically integrated AI-powered uranium exploration company. We find high-grade uranium deposits in North America using AI trained on 70+ years of exploration outcomes. Our mission is to find the fuel we need to power the next century with nuclear energy.", "one_liner": "The first AI-powered uranium discovery company", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1771881994, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "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/terranox-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/terranox-ai.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/5f32ec888cb2d0eee4fa5e89a1e14a8af2c2f61f.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": 898324, "full_name": "Jade Checlair", "title": "Founder/CEO", "founder_bio": "Co-founder, CEO of Terranox AI, the first vertically integrated AI-powered uranium discovery company. PhD in Geophysics from UChicago, ex-NASA Ames and ex-BCG mining & energy. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jade-checlair/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/833c61f4c5d5f095429bd93762d3ce63b6a29715.jpg" }, { "user_id": 2970910, "full_name": "Leeav Lipton", "title": "Founder/CTO", "founder_bio": "Co-founder, CTO of Terranox AI, the first vertically integrated AI-powered uranium exploration company. Ex-NASA JPL researcher on remote sensing tech, 8+ years as an AI/ML scientist at Borealis AI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/leeavlipton", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/018deca9787dd01cf8c40d4cfb629f3d68f452a9.jpg" } ], "jobs": [ { "id": 94018, "title": "Founding Applied Scientist", "url": "https://www.ycombinator.com/companies/terranox-ai/jobs/9xGzcvz-founding-applied-scientist", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Science", "role_type": "Research", "salary_range": "$150K - $250K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 94134, "title": "Senior Exploration Geologist", "url": "https://www.ycombinator.com/companies/terranox-ai/jobs/ozLcPgW-senior-exploration-geologist", "location": "Saskatchewan, CA / SK, CA / Remote (SK, CA; Saskatchewan, CA)", "type": "Full-time", "role": "Science", "role_type": "Research", "salary_range": "$115K - $185K CAD", "equity_range": "0.10% - 0.50%", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 94643, "title": "Summer Intern - Applied Science MSc/PhD", "url": "https://www.ycombinator.com/companies/terranox-ai/jobs/YYAgEYl-summer-intern-applied-science-msc-phd", "location": "San Francisco, CA, US", "type": "Internship", "role": "Science", "role_type": "Research", "salary_range": "$8K - $16K", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 104195, "title": "Fall Intern - AI/ML Engineering", "url": "https://www.ycombinator.com/companies/terranox-ai/jobs/LVMQOLw-fall-intern-ai-ml-engineering", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$5K - $12.5K / monthly", "equity_range": "", "experience": null, "visa": "Will sponsor", "skills": [ "Machine Learning", "Computer Vision", "Machine learning" ] }, { "id": 104394, "title": "AI/ML Engineer", "url": "https://www.ycombinator.com/companies/terranox-ai/jobs/TxXPS7x-ai-ml-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 98155, "title": "Terranox AI: AI-powered uranium discovery", "tagline": "Finding the uranium deposits we need to fuel the next century with nuclear energy.", "body": "**TL;DR:** Terranox AI ([terranox.ai](http://terranox.ai)) is the first vertically integrated AI-powered uranium discovery company. We discover economic uranium deposits in North America using AI trained on 70+ years of exploration outcomes. Our mission is to find the fuel we need to power the next century with nuclear energy.\n\n\n\n⚡️ **The Nuclear Renaissance:**\n\nNuclear is experiencing a global resurgence as the only scalable clean baseload power option that can meet humanity's exploding energy needs:\n\n* **AI datacenter electricity demand** will more than double by 2030\n* Microsoft, Google, Amazon, and Meta have collectively **committed billions to nuclear power**\n* 30+ countries pledged to **more than triple global nuclear capacity by 2050**\n* In 2025, the U.S. government signed executive orders to **quadruple nuclear capacity**, with $80B+ in commitments across reactors and fuel supply chains\n\n![uploaded image](/media/?type=post&id=98155&key=user_uploads/898324/f98faf46-f9ae-4a9b-b299-2fbbd1361db4)\n\n⛽️ **The Fuel Crisis:**\n\nBut this nuclear future has one critical dependency: **uranium fuel.**\n\n* Global uranium production needs to **4x by 2050**, but we already have a **supply deficit today** with depleting stockpiles\n* The world’s largest mines will **approach end-of-life** simultaneously starting in the mid 2030s\n* New mines take **10-15 years from discovery to production**\n\n**The West needs new economic discoveries in stable jurisdictions to ensure energy security.**\n\n![uploaded image](/media/?type=post&id=98155&key=user_uploads/854295/8b02b13f-eeba-4933-a331-5a6556f57c7a)\n\n🆘 **The Bottleneck: Exploration is Broken**\n\nExploration still works like in the 1960s: slow, fragmented, guided by intuition and outsourced workflows. **Hit rates are <1%**, driving extremely high costs and decade-long timelines. Meanwhile, 70+ years of exploration data sits trapped in thousands of legacy PDFs and handdrawn maps, unused.\n\n**We're not finding deposits fast enough to power the future.**\n\n⚒️ **What We Are Building:**\n\n**Terranox AI is the first vertically integrated AI-powered uranium discovery company.**\n\nWe find uranium deposits in North America using AI trained on decades of geoscience data and exploration outcomes.\n\n**Our system does three things:**\n\n1. **Multi-modal geoscience intelligence:** Extracts and processes geoscience data from decades of fragmented sources, building a unified exploration context base\n2. **Prospectivity mapping for discovery:** Identifies high-potential areas humans would miss using uranium-specific AI models trained on decades of exploration outcomes\n3. **Sequential decision intelligence:** Determines the optimal next action to maximize information gain per dollar spent, learning from every result in real time\n\n**The result:** A compounding learning flywheel. Every drill hole (hit or miss) makes our predictions better across all projects. The more we explore, the smarter we get.\n\nWe're launching our own exploration projects in North America to ensure the nuclear renaissance has the fuel it needs.\n\n![uploaded image](/media/?type=post&id=98155&key=user_uploads/854295/21570b8b-dce2-4a8b-8340-7409fc467ab0)\n\n👷‍♀️👷‍♂️ **Who We Are:**\n\n**Jade Checlair - CEO & Co-Founder**\n\nPhD Geophysics (UChicago). Developed statistical methods for planetary discovery adopted by NASA flagship missions. 3.5 years at BCG leading nuclear and mining strategy. Ex-NASA Ames.\n\n**Leeav Lipton - CTO & Co-Founder**\n\n8 years building AI/ML systems at Borealis AI. Astrophysics background. Ex-NASA JPL scientist on low-cost remote sensing tech.\n\nWe met in first-year physics and have been friends for 10+ years.\n\n![uploaded image](/media/?type=post&id=98155&key=user_uploads/898324/4ee78148-0515-4578-ad43-c07e2754d020)\n\nContact us at [founders@terranox.ai](mailto:founders@terranox.ai).", "url": "https://www.ycombinator.com/launches/PX9-terranox-ai-ai-powered-uranium-discovery", "votes": 218, "created_at": "2026-02-25T03:33:05.394Z" } ] }, { "id": 31180, "name": "Seeing Systems", "slug": "seeing-systems", "former_names": [ "Seeing Systems Ltd", "Seeing Systems", "Seeing Systems Ltd" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d8e226478cb43c163b19e22186c3bab3bdb9668.png", "website": "https://www.seeing-systems.com", "all_locations": "London, England, United Kingdom", "long_description": "We engineer inexpensive, autonomous strike drones designed to operate in the most contested combat environments on Earth!\r\n\r\nBy combining true hardware modularity with an agentic control system that lowers cognitive load on operators, we enable faster upgrades, broader adoption, and more than 2x reduction in lifecycle cost.\r\n\r\nOur customers and partners include the UK Royal Marine Commandos, several other units in the UK, and 4 other NATO forces, and we are currently shipping prototypes for iterative feedback.\r\n\r\nThink of us as Anduril, but with worse weather, and better banter.", "one_liner": "Modular AI-Commanded Drones for Defence", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1768422348, "tags": [ "Hardware", "Drones", "Defense", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Defense" ], "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/seeing-systems", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/seeing-systems.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/seeing-systems", "x_url": "https://x.com/S2_INC", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d8e226478cb43c163b19e22186c3bab3bdb9668.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/477d6d86739655ae1980c598667eb5d2363a8752.png" ], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2822007, "full_name": "Alexander Le Maitre", "title": "Founder/CEO", "founder_bio": "I've been obsessed with unmanned systems since I was a kid. Nobody was going to teach me embedded electronics or PCB design, so I taught myself.\n\nSince then, I've built Explosive Ordnance Disposal (EOD) training and diagnostic hardware for militaries - plus a few projects I'm still not allowed to talk about. I've trained special forces in fifth-generation warfare and modern IED tech.\n\nI'm from a small island called Guernsey. These days I run a company building tech that keeps the country safe.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexander-le-maitre-a9138a159/", "x_url": "https://www.x.com/Alex_10200", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ddba90120d950889505bd3c360846048249d8f03.jpg" }, { "user_id": 2537241, "full_name": "Matthew Le Maitre", "title": "Founder/CTO", "founder_bio": "Ex-Jane Street SWE, Top-Ranked CS Grad @ Cambridge, now building Defence Tech.\n\nPhysicist → Researcher → Consultant → Software Engineer → Founder 🚀\n\nTrying never to lose my inner child, whilst building things that really matter.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mattlemaitre/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/db02b50873d95d057676e7071ea66492a4dce742.jpg" } ], "jobs": [ { "id": 94035, "title": "Senior Hardware Engineer", "url": "https://www.ycombinator.com/companies/seeing-systems/jobs/sAnZW1T-senior-hardware-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "£60K - £90K GBP", "equity_range": "0.25% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "CAD Design", "Altium" ] }, { "id": 94262, "title": "Electrical Engineering Intern", "url": "https://www.ycombinator.com/companies/seeing-systems/jobs/QbVAgqi-electrical-engineering-intern", "location": "London, England, GB", "type": "Internship", "role": "Engineering", "role_type": "Hardware", "salary_range": "£2K - £3K GBP / monthly", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [ "CAD Design", "Altium" ] }, { "id": 94623, "title": "Software Engineering Intern", "url": "https://www.ycombinator.com/companies/seeing-systems/jobs/pBZFivv-software-engineering-intern", "location": "London, England, GB / Christchurch, England, GB", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "£2K - £3K GBP / monthly", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [ "Arduino", "Python", "AI Agents" ] }, { "id": 98786, "title": "Mechanical Hardware Engineer", "url": "https://www.ycombinator.com/companies/seeing-systems/jobs/zlM5hzH-mechanical-hardware-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "£30K - £45K GBP", "equity_range": "0.10% - 0.25%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "CAD Design" ] }, { "id": 98787, "title": "Electrical Hardware Engineer", "url": "https://www.ycombinator.com/companies/seeing-systems/jobs/p0iWpIm-electrical-hardware-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Embedded systems", "salary_range": "£30K - £45K GBP", "equity_range": "0.10% - 0.25%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Altium" ] } ], "news": [ { "title": "Welcoming General Wesley Clark and General Sir Richard Shirreff to Our Advisory Board - Seeing Systems", "url": "https://www.seeing-systems.com/two-of-natos-most-senior-commanders-join-our-advisory-board/", "date": "Jun 27, 2026" }, { "title": "Як Seeing Systems з Y Combinator тестує автономні дрони в Україні ", "url": "https://ain.ua/2026/05/25/seeing-systems-ukraine/", "date": "May 25, 2026" }, { "title": "The Top 8 Robotics and Drone Startups in YC W26 - The Silicon Valley Post", "url": "https://svpost.com/articles/top-robotics-drone-startups-yc-w26/", "date": "Mar 18, 2026" }, { "title": "Alexander Le Maitre on Attritable Systems and Agentic Warfare | AIPressRoom", "url": "https://aipressroom.com/alexander-le-maitre-seeing-systems/", "date": "Feb 23, 2026" }, { "title": "‘Their acceptance rate is less than 1% – it’s harder than Harvard’", "url": "https://guernseypress.com/news/2026/02/11/their-acceptance-rate-is-less-than-1percent-its-harder-than-harvard", "date": "Feb 10, 2026" } ], "launches": [ { "id": 97412, "title": "Seeing Systems: Modular Autonomous Drones for Modern Warfare", "tagline": "We build modular, autonomous strike drones that adapt as warfare evolves.", "body": "# **Hey everyone**\n\nWe’re Alex & Matthew - The brothers building **Seeing Systems**.\n\n---\n\n## **TL;DR**\n\nWe're building **inexpensive, autonomous strike drones** designed to stay operationally relevant as warfare evolves. By combining true hardware modularity with an agentic control system that lowers cognitive load on operators, we enable faster upgrades, broader adoption, and more than 2x reduction in lifecycle cost.\n\nOur customers and partners include the UK Royal Marine Commandos, several other units in the UK, and 4 other NATO forces, and we are currently shipping prototypes to Ukraine for iterative feedback.\n\n\n\n## **Problem**\n\nMilitary forces face two linked challenges:\n\n1. **Platform Obsolescence:** Fixed drones require replacement or major rebuilds whenever missions or threats evolve, driving high costs and slowing operational adaptation.\n2. **The One Pilot Problem:** One person can only control one drone at once, requiring full attention.\n\nCountless stories can be found of western drone systems becoming obsolete, needing to be shelved and eventually replaced.\n\nA Few Examples:\n\n* \n* \n\n![uploaded image](/media/?type=post&id=97412&key=user_uploads/2822007/9dfb1275-b59e-4c17-9862-3a9d8a11534d)\n\n# **Solution**\n\nWe build autonomous, modular drones that solve both problems at once:\n\n* **Modular hardware:** Swappable payloads, sensors, compute, and comms let one platform support strike, ISR, or swarm missions. Upgradable and effective year after year.\n* **Agentic autonomy:** Automates tasks like navigation and coordination, so operators with no prior training can use systems to their full effectiveness.\n\nHow do we know? Well, Forward Deployed Engineers. Giving each unit we work with a point of contact, we take feedback and integrate them into our system in a matter of hours. A close collaboration with the UK Royal Marines Commandos is actually what led to the development of this system.\n\n![uploaded image](/media/?type=post&id=97412&key=user_uploads/2822007/7170ca7a-bd1d-4d2b-a6a7-f77ce762975e)\n\n## **The Team**\n\n**Matthew Le Maitre - Co-Founder, Software**\n\nFormer Jane Street Software Engineer and top-ranked CS graduate from the University of Cambridge. Matthew’s path started at the Mobile Robotics Lab at Cambridge, where he worked on autonomous systems and context-aware drones. He now leads the software side of Seeing Systems.\n\n**Alex Le Maitre - Co-Founder, Hardware**\n\nAlex has been obsessed with unmanned systems since childhood and is largely self-taught in embedded electronics, firmware, and PCB design. He has previously designed Explosive Ordinance Disposal (EOD) training and diagnostic hardware for military users, alongside projects with national-security implications. Originally from the island of Guernsey, Alex now leads hardware development with a focus on building robust systems that help keep our people safe.\n\n![uploaded image](/media/?type=post&id=97412&key=user_uploads/2822007/dfc9b55c-c1b7-4ac3-a6bb-8e7760b2d006)\n\nIf you’re a military contractor, defense organisation or special forces unit looking for a real operational edge, contact us at [founders@seeing-systems.com](mailto:founders@seeing-systems.com) &[ www.seeing-systems.com](http://www.seeing-systems.com)", "url": "https://www.ycombinator.com/launches/PLA-seeing-systems-modular-autonomous-drones-for-modern-warfare", "votes": 30, "created_at": "2026-02-02T21:03:43.432Z" } ] }, { "id": 31193, "name": "9 Mothers", "slug": "9-mothers-corporation", "former_names": [ "9 Mothers Corporation" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/84622897534f7613d85e63267d30b56cc2f7e6df.png", "website": "https://9mothers.com", "all_locations": "Austin, TX, USA", "long_description": "We have sold $1.6m of systems to the DoW. Multiple systems delivered to the DoW.\r\n\r\nOur first product - EDDA - is a counter drone system - small, low power, low cost fully autonomous-capable. It's designed to be used on vehicles, bases, or carried - to stop group 1 suicide drones. We have multiple contracts, sales, etc.\r\n\r\nWe have 3 more products with demand in various stages of development.\r\n\r\nMore details at https://9mothers.com", "one_liner": "Counter Drone Systems. $1.6m sales. We delivered for the DoW.", "team_size": 19, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1772383071, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 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/9-mothers-corporation", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/9-mothers-corporation.json", "year_founded": 2024, "city": "Austin", "country": "US", "linkedin_url": "https://www.linkedin.com/company/9-mothers/", "x_url": "https://x.com/9mothers", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/9-mothers", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/84622897534f7613d85e63267d30b56cc2f7e6df.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": 1373, "full_name": "Russell Smith", "title": "Founder/CEO", "founder_bio": "Making AI weapon systems.", "is_active": true, "linkedin_url": "https://linkedin.com/in/russellhowardsmith", "x_url": "https://twitter.com/rhs", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dcc190c89daafc72944459c467954eb47e85a782.jpg" }, { "user_id": 164423, "full_name": "Roman Khomenko", "title": "Founder", "founder_bio": "Co-founder of 9 Mothers Defense. Previously Data Scientist at Rainforest QA (YC S12), hacker, and builder of weird things. I love everything old: Lisp, NES games, IRC, trackers, and 8-bit music. Now building AI-driven counter-drone systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dowakin/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6ce8bc5bf11e2df03e67f2ae8f55482ed87c6250.jpg" }, { "user_id": 1175122, "full_name": "Bogdan Pyzh", "title": "Founder/COO", "founder_bio": "Building Counter-Drone Systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bogdan-pyzh-b5b77388", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca74049c4fb72b44515d11f0bb4517e374b481c7.jpg" } ], "jobs": [ { "id": 92228, "title": "Machine Learning Engineer, Senior", "url": "https://www.ycombinator.com/companies/9-mothers-corporation/jobs/dP71lRK-machine-learning-engineer-senior", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.02% - 0.05%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Torch/PyTorch" ] }, { "id": 92229, "title": "Robotics Engineer, Senior", "url": "https://www.ycombinator.com/companies/9-mothers-corporation/jobs/H8698y1-robotics-engineer-senior", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.02% - 0.05%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92234, "title": "Senior Mechatronics Engineer", "url": "https://www.ycombinator.com/companies/9-mothers-corporation/jobs/IbKw8oR-senior-mechatronics-engineer", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.01% - 0.05%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92239, "title": "Lead Mechatronics Engineer", "url": "https://www.ycombinator.com/companies/9-mothers-corporation/jobs/BQMcLKU-lead-mechatronics-engineer", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$250K - $400K", "equity_range": "0.01% - 0.05%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92240, "title": "Robotics Engineer, Staff", "url": "https://www.ycombinator.com/companies/9-mothers-corporation/jobs/RV7DqvO-robotics-engineer-staff", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$250K - $400K", "equity_range": "0.01% - 0.05%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94660, "title": "Computer Vision Engineer, Senior", "url": "https://www.ycombinator.com/companies/9-mothers-corporation/jobs/esvM9FY-computer-vision-engineer-senior", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.01% - 0.05%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94661, "title": "Perception Engineer, Staff", "url": "https://www.ycombinator.com/companies/9-mothers-corporation/jobs/H5NGycV-perception-engineer-staff", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$250K - $300K", "equity_range": "0.02% - 0.05%", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94662, "title": "Embedded Engineer (BSP), Staff", "url": "https://www.ycombinator.com/companies/9-mothers-corporation/jobs/53o387J-embedded-engineer-bsp-staff", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$250K - $300K", "equity_range": "0.02% - 0.05%", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "At Fort Bragg, a jam session for a \"new era of warfare\"", "url": "https://www.axios.com/2026/08/26/sandhills-army-forterra-9mothers-drones-autonomy", "date": "Aug 25, 2026" }, { "title": "U.S. Army tests self-driving truck with drone-killing turret", "url": "https://defence-blog.com/u-s-army-tests-self-driving-truck-with-drone-killing-turret/", "date": "Aug 22, 2026" }, { "title": "A Tale of Two Techs: A Unique Partnership for Drone Defense Solutions", "url": "https://www.recoilweb.com/a-tale-of-two-techs-a-unique-partnership-for-drone-defense-solutions-193182.html", "date": "Aug 18, 2026" }, { "title": "The U.S. Army tested a (semi)-autonomous Ford F-250 equipped with the Edda counter-drone turret during Project Sandhills 2.0 at Fort Bragg on August 18.", "url": "https://www.instagram.com/p/DcYmX9RDGpU/", "date": "Aug 17, 2026" }, { "title": "Drone Ultimatum - 9 Mothers", "url": "https://www.youtube.com/watch?v=Ag5LVytT1dU", "date": "Aug 16, 2026" } ], "launches": [ { "id": 102597, "title": "9 Mothers - AI mission systems", "tagline": "EDDA - is a tiny robot that protects soldiers and critical assets from Group 1 suicide drones", "body": "We make AI mission systems for the DoW.\n\n![uploaded image](/media/?type=post&id=102597&key=user_uploads/1373/31af3058-9bd9-48b5-8b9a-4840055d12f9)\n\nOur first product - EDDA - is a tiny robot that protects soldiers and critical assets from Group 1 suicide drones. We are building it small enough and cheap enough to put that protection on everything: every vehicle, every position, every asset. EDDA defeats fast group 1 threats that fielded systems consistently miss. Operators evaluating it have told us it's the only system that's stopped fast Group 1 - we'll let them speak for themselves when they can.\n\n\n\nWhy this? We were watching people die in the Russia-Ukraine conflict, and ended up researching the state of the union on defeating suicide drones. It was insanely bad - over-focus on RF, EW, and larger systems - all with obvious flaws. Nothing was working, all demos were of slow speed or static drones. RF & EW are somewhere between dead-ends and table-stakes, and the larger systems had many flaws. So, we felt compelled to fix it.\n\n\n\nThe U.S. and allies are up-against this threat with no viable solution, until now. We have multiple contracts, and have sold and delivered multiple systems.\n\nOur next 3 products follow the same vein - delivering working systems at low SWaPc.", "url": "https://www.ycombinator.com/launches/Qgn-9-mothers-ai-mission-systems", "votes": 10, "created_at": "2026-06-05T18:10:21.843Z" } ] }, { "id": 31196, "name": "Congruent", "slug": "congruent", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a7c888706d93f04e768a791ada75bb06e4605041.png", "website": "https://congruent.io", "all_locations": "San Francisco, CA, USA", "long_description": "At Congruent, we build radars for end-to-end autonomous systems. The most advanced autonomous systems are trained as a single neural network from raw sensor data to navigation actions. For a sensor to be included in these pipelines sensor stacks requires two key properties: access to raw sensor data and a high-fidelity sensor simulator. Current automotive radars have neither, they output heavily processed point clouds and no raw radar simulator exists for driving scenes. Congruent solves both problems: a radar architecture that exposes raw data, paired with a world model based radar simulator. Radar is the only depth sensor at a price point that scales to every car on the road and works in all weather conditions. Congruent is building the radar compatible with the training architectures that will make mass-market vehicles autonomous.", "one_liner": "AI native radars for self-driving cars", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1771538111, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/congruent", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/congruent.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/congruent-sensing/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a7c888706d93f04e768a791ada75bb06e4605041.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": 1953552, "full_name": "Clement Barthes", "title": "Founder/CEO", "founder_bio": "ex-head of autonomy at Zendar\nex-CTO at Safehub, making smart sensors to evaluate building damage after earthquakes\nex-Research Engineer and Lab Manager at UC Berkeley - PEER lab", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/clement-barthes-44470a10b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd43a7f8be63e763107dc19e4356ce099ccb5aaa.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98073, "title": "Radars for end-to-end autonomy", "tagline": "The radar to unlock mass-market self-driving cars", "body": "**TL;DR:** Everyone wants an autonomous car, but today they are cost prohibitive because they rely on multiple lidars. The answer is radar, it's tens of dollars, already in most cars, and works in all weather. The problem: no one has built a radar compatible with end-to-end training, which is how all modern autonomous vehicles learn to drive. We built the radar hardware and radar simulator to change that.\n\n\n\nToday, a robotaxi costs hundreds of thousands of dollars, largely because it relies on lidar, an expensive sensor that works but doesn't scale. **Radar costs tens of dollars per unit, is already in 90% of US cars**, and works in rain, snow, fog, and dust where lidar and cameras degrade. The problem is that no one has built a radar that is compatible with how autonomous vehicles are actually trained.\n\n**The state of the art in autonomy is end-to-end training:** a single neural network learns driving actions directly from raw sensor data. Inclusion in end-to-end training requires two things from each sensor: access to raw data and a high-fidelity simulator. Cameras have both. Lidars have both. Radars have neither. Every automotive radar on the market throws away over 99% of the raw data before the model sees it, and no existing world model is able to simulate radar data.\n\n**Self-driving requires multi-sensor redundancy** and depth sensing that cameras alone cannot provide, but camera-radar fusion can. An OEM that adopts Congruent's radar can train a single end-to-end system on several cameras and radars together, reaching full self-driving, at a sensor cost low enough to ship in every vehicle they make.\n\nWe are Clement Barthes and Evan Carnahan, two PhDs who met as research engineers building radar perception pipelines for autonomous vehicles. Clement earned his doctorate in Structural Mechanics from UC Berkeley and developed advanced sensor systems for automotive and structural health monitoring applications. Evan earned his doctorate from UT-Austin, where he built physics-learned models for multi-sensor satellite data. We launched Congruent because we kept running into the same wall: **radar has the physics to enable mass-market autonomy, but no one was building the hardware and simulation tools to make it usable in modern training architectures… until now**.\n\n**If you are at an OEM, tier-one supplier, or AV company working on sensor architecture or end-to-end training, let’s get in touch ! [info@congruent.io](mailto:info@congruent.io)**\n\n![uploaded image](/media/?type=post&id=98073&key=user_uploads/1953552/87d983de-4b46-4ea3-ad8a-44bedfb39325)\n\n", "url": "https://www.ycombinator.com/launches/PVp-radars-for-end-to-end-autonomy", "votes": 7, "created_at": "2026-02-23T08:45:40.368Z" } ] }, { "id": 31205, "name": "Human Archive", "slug": "human-archive", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ce063ef00a3ec0da3649fb79a819c0e6c1e88ebf.png", "website": "https://www.humanarchive.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Human Archive (YC W26) is building the data and deployments infrastructure for physical AI.\r\n\r\nWe design hardware, deploy cameras and sensors globally, and train models that help AI better understand how humans interact with the physical world.\r\n\r\nLeading frontier AI labs trust us for their video, sensor, robot deployment, image, and audio datasets.\r\n\r\nWe have offices in SF, China, and India and are researchers from NYU GRAIL, UPenn GRASP, UC Berkeley, Stanford, Johns Hopkins Robotics, and national robotics champions.\r\n\r\nTo get data, please reach out to raj@humanarchive.ai", "one_liner": "Physical AI data lab", "team_size": 100, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1767518366, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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/human-archive", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/human-archive.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/human-archive/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ce063ef00a3ec0da3649fb79a819c0e6c1e88ebf.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": 1909062, "full_name": "Raj Patel", "title": "Founder/CEO", "founder_bio": "Archiving the structure of human interaction in the physical world. Berkeley dropout and previous farmer (sold mangoes & planted trees)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/raj-patel2004/", "x_url": "https://x.com/babugi28", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/efbe62a3550d8642731b0d6840c3f88f14222a95.jpg" }, { "user_id": 1813197, "full_name": "Rushil Agarwal", "title": "Founder", "founder_bio": "Rushil Agarwal is a founder of Human Archive (W26). He studied Industrial Engineering and Operations Research along with Business at UC Berkeley's highly selective MET program (<1% acceptance rate)\n\nHe previously worked on data pipelines for embedding models and on-chain infrastructure at Coinbase. He also scaled a Web 3.0 software business, which served 500+ SMBs", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rushilagarwal261205/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/91b52b708af96b75c25943c4349405c5c1934b08.jpg" }, { "user_id": 1604009, "full_name": "Samay Maini", "title": "Founder", "founder_bio": "Creating multimodal real-world datasets for robotics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samaymaini/", "x_url": "https://x.com/samay_maini15", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a9d035e503f19fffad5407a9b7117bdcf61a3abe.jpg" }, { "user_id": 2067943, "full_name": "Shloke Patel", "title": "Founder", "founder_bio": "Shloke Patel is a founder of Human Archive (W26). He studied Mechanical Engineering and Computer Science at Stanford University, where he focused on robotics, systems engineering, and applied AI, and conducted research at the SHAPE and DEL Labs.\n\nBefore Human Archive, Shloke built and operated agricultural businesses, including a mango venture that sold 16,000+ mangoes and helped plant 100,000+ trees. His background spans robotics, mechanical design, and hardware systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shloke-patel/", "x_url": "https://x.com/shloke_patel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92dfdb11e9a2da111455fe361e1e4ee45c4e202c.jpg" } ], "jobs": [ { "id": 88062, "title": "Operations Manager", "url": "https://www.ycombinator.com/companies/human-archive/jobs/di880ZV-operations-manager", "location": "IN", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "₹1.5M - ₹3M INR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 88228, "title": "Videographer", "url": "https://www.ycombinator.com/companies/human-archive/jobs/4ZHnJO3-videographer", "location": "IN", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "₹1.25M - ₹2.49M INR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 92091, "title": "Mechanical Engineer - Wearable Systems", "url": "https://www.ycombinator.com/companies/human-archive/jobs/ytPKyys-mechanical-engineer-wearable-systems", "location": "IN", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "₹1.8M - ₹3M INR", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92092, "title": "Embedded / Electrical Engineer", "url": "https://www.ycombinator.com/companies/human-archive/jobs/D1LyXYo-embedded-electrical-engineer", "location": "IN", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "₹2.5M - ₹4M INR", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92093, "title": "Firmware Engineer", "url": "https://www.ycombinator.com/companies/human-archive/jobs/q6l0qYC-firmware-engineer", "location": "IN", "type": "Full-time", "role": "Engineering", "role_type": "Embedded systems", "salary_range": "₹2.2M - ₹3.5M INR", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92094, "title": "QA / Hardware Test Engineer", "url": "https://www.ycombinator.com/companies/human-archive/jobs/84M0U0h-qa-hardware-test-engineer", "location": "IN", "type": "Full-time", "role": "Engineering", "role_type": "QA engineer", "salary_range": "₹1.8M - ₹3M INR", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92095, "title": "Industrial Designer", "url": "https://www.ycombinator.com/companies/human-archive/jobs/Lb6nrM9-industrial-designer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "$80K - $110K", "equity_range": "0.10% - 0.30%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 92096, "title": "Head of Engineering", "url": "https://www.ycombinator.com/companies/human-archive/jobs/y2x2QPw-head-of-engineering", "location": "San Francisco, CA, US / IN", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$140K - $210K", "equity_range": "0.25% - 2.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "This startup is betting India's gig economy can train the world's robots | TechCrunch", "url": "https://techcrunch.com/2026/05/26/human-archive-taps-into-indias-services-startups-to-collect-data-for-physical-ai/", "date": "May 26, 2026" } ], "launches": [ { "id": 98605, "title": "Human Archive: The World's Largest multimodal robotics dataset", "tagline": "Let's archive the world for embodied intelligence", "body": "**TL;DR:** We’re capturing the structure of how humans interact with the physical world to model sensorimotor intelligence at scale\\\n**Launch Video:** \n\n**The Problem:**\n\nModern AI is largely a knowledge transfer problem. Over the past decade, training on trillions of tokens of internet data enabled breakthroughs in LLMs, diffusion models, and vision-language models. But **human intelligence is predominantly embodied**, and the **internet does not capture it**. Every day we manipulate objects, apply force, and subconsciously adapt in noisy real-world environments. Yet there is no dataset that captures the **structure of human interaction with the physical world at scale**. As a result, progress in \\*\\*embodied spatial intelligence is bottlenecked by data.\\*\\*\\\n\\\n**What we built:**\n\nOver the past two months, we built infrastructure for high-quality data collection at scale, including:\n\n* Custom hardware rigs\n* Internal models for policy benchmarking\n* QA pipelines, alignment, and annotation software\n* 25-person operations team\n* Dedicated servers at our AWS data center for terabyte-scale offloading\n\nNow that the system is live, we can collect **up to 8,000 hours of data per day** and we’ve signed national level partnerships to scale our contributor network to **50,000+ people.** We’ve already shipped datasets to frontier research teams, and have built the largest multimodal dataset of it’s kind.\n\n**Our datasets:**\n\nWe are currently collecting data across **homes, restaurants, hotels, retail, transportation, construction, horticulture, and industrial environments** across two datasets. \\\n\\\n**HA-Multi** is a fully aligned multimodal dataset with **vision, stereo depth (IR dot projection), tactile gloves, body IMUs, and wrist cameras**. For customers, we provide structured outputs and visualizations including **3D MANO hand reconstructions, 2D tactile force maps, depth maps per timestamp, and human pose reconstructions**. \\\n\\\n**HA-Ego** is a **mono RGB vision** and **wrist cameras** dataset. \\\n\\\nWe provide **annotations** and **metadata** including **environment and scene descriptions, high-level task descriptions, task-aligned atomic action labels, hand tracking, object segmentation, SLAM (extrinsic** and **intrinsics),** and **3D pose reconstruction**.\n\n**Team:**\n\nHi, we’re Shloke, Samay, Rushil, and Raj. We’re engineers from Stanford and Berkeley who’ve spent our entire lives building across operations, hardware, and robotics. We’ve known each other for over 20 years and joined forces to dedicate the rest of our lives to building the Common Crawl for human sensorimotor intelligence.\n\n**Our Ask**\n\nWe'd love to talk with you if:\n\n* You’re building in **robotics, world models, or evaluations**\n* You work at or with frontier AI labs interested real world\n* You know cleaning companies, hotel chains, restaurants, factories, or other businesses interested in scaling efficiency and profits with AI\n\n👉 Contact us at [raj@humanarchive.ai](mailto:raj@humanarchive.ai)\n\n💼 Follow us on LinkedIn: \n\n📱 Follow us on X: ", "url": "https://www.ycombinator.com/launches/PeP-human-archive-the-world-s-largest-multimodal-robotics-dataset", "votes": 29, "created_at": "2026-03-08T23:44:25.753Z" } ] }, { "id": 31209, "name": "AxionOrbital Space", "slug": "axionorbital-space", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/45756da0fcb8d428dd8a6d3aaccf624ef98863b9.png", "website": "https://axionorbital.space/", "all_locations": "San Francisco, CA, USA", "long_description": "AxionOrbital Space builds foundation models that enable continuous visibility through clouds and darkness. Legacy optical satellites are rendered useless 70% of the time by weather and night cycles, while Synthetic Aperture Radar (SAR) produces data that is unintelligible to humans and breaks standard vision pipelines.\r\n\r\nWe solve this by translating raw radar backscatter into analysis-ready optical imagery in real-time. Our proprietary architecture uses deterministic one-step diffusion to transform complex radar signals into clear, photorealistic images. This enables persistent, 24/7 situational awareness for defense, commodities trading, and disaster response, guaranteeing visibility even when the sky is blocked.", "one_liner": "Foundation models for 24/7 Earth Observation", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1766035351, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "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": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "We will replace passive optical satellites as the primary mode of Earth observation. By bridging the interpretability gap, we make SAR the global default for critical monitoring ; delivering continuous, 24/7 intelligence at 1/100th the cost of current tasking. Crucially, this efficiency decoupling means humanity can monitor the entire planet with fewer, more capable sensors, drastically reducing hardware congestion in Low Earth Orbit. We are building a future where planetary visibility is not a luxury dependent on the weather, but an omnipresent utility available anytime, anywhere." } ], "url": "https://www.ycombinator.com/companies/axionorbital-space", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/axionorbital-space.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/axion-orbital/", "x_url": "https://x.com/axionorbital", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/45756da0fcb8d428dd8a6d3aaccf624ef98863b9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/9ec7569115a16494ea4fff1678fe8410c5099e96.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/746df44185c55faf1d8e1acda9b27575133cc01d.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2760886, "full_name": "Dhenenjay Yadav", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of AxionOrbital Space - Building Foundation models for 24/7 Earth Observation | Computer Vision Research | Ex- IIMA, ISRO | RL Enthusiast | Ex-Esports (PUBG) | Built UAVs in the past", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dhenenjay-yadav/", "x_url": "https://x.com/dhenenjay", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f731bc6af568636f7e5ae065c8b3d832e00daa5b.jpg" }, { "user_id": 3189834, "full_name": "Atharva Peshkar", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of AxionOrbital Space - Building Foundation models for 24/7 Earth Observation | Computer Vision Research | Ex- Harvard | CS PhD @ CU Boulder", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/atharva-peshkar-43a104b7", "x_url": "https://x.com/atharva_peshkar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/da1d88ea72a5f46d5014e83f806eb34bc636c013.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 96547, "title": "AxionOrbital Space : SOTA Foundation Models for 24/7 Earth Observation", "tagline": "Introducing Orion : The most advanced SAR-to-Optical Model ever built ~ FID=30.24 || SSIM=0.6", "body": "Visibility is everything. It drives defense strategies, market predictions, and disaster response. Being able to see the ground truth, regardless of weather or time of day is how modern intelligence information asymmetry is created. Yet, 70% of the time the world is effectively blind. Clouds, smoke, and darkness render standard optical satellites useless two-thirds of the time.\n\nToday, we are changing that. We are introducing **ORION**.\n\n![uploaded image](/media/?type=post&id=96547&key=user_uploads/2760886/7df2ec94-f4be-4b48-8aa5-122a80822ded)\n\nORION is the most advanced Earth Observation model ever created, making continuous visibility possible. It has a FID score of **30.24**, beating the current SOTA C-DiffSET by **19.23%** on the MSAW benchmark. It also crushed every competitor with a SSIM score of **0.60**.\n\nIt eliminates the critical visibility gap and removes the physical constraints of traditional Earth Observation. Our model converts **RADAR (SAR)** into very high resolution optical satellite imagery which is fully anchored in the radar signal and instantly understandable to humans.\\\n\\\nThis unlocks total **Planetary Awareness**. Orion pierces through smoke, clouds, and night to create a seamless 24/7 stream of high res optical imagery.\n\nBy transforming complex radar signals into clear visual data, we enable industry grade alpha for hedge funds/HFTs, situational awareness for defense, crop monitoring for agriculture, and intelligent planning for urban planners.\\\n\\\n[Axion Launch Video](https://youtu.be/qWYjqk26V20)\n\n**We are releasing Orion with capabilities that redefine the state-of-the-art:**\n\n* **Unmatched Fidelity:** Orion achieved the highest ever FID score of **30.24**, surpassing the current SOTA (C-DiffSET) by **19.23%** on the MSAW benchmark. We do not hallucinate buildings; our physically anchored priors reveal the ground truth exactly as it exists. We also achieved a new SOTA SSIM score of **0.60**\n* **Real-Time Latency:** While standard diffusion models take a few seconds to generate an image, Orion runs in **0.06 seconds**. \n* **Total Visibility:** Whether it is 3 AM, raining, or covered in smoke, Orion maintains full operational visibility.\n\n**We built Orion to power the world’s most critical operations:**\n\n* **For Defense & Intelligence:** Operators can track vehicle/troop movement in total darkness or through heavy smoke during reconnaissance operations.\n* **For Traders:** Analysts can measure global oil supply by analysing oil rigs and wells 24/7, rather than relying on outdated clear-sky data.\n* **For Agriculture & Climate:** Agencies can map flood lines through heavy storm clouds to coordinate disaster response instantly, rather than waiting for weather conditions to improve.\n\n**The Team** We are Computer Vision researchers who have lived this problem.\n\n* [**Dhenenjay Yadav**](https://www.linkedin.com/in/dhenenjay-yadav/)** (CEO):** ML Engineer at ISRO, RL Researcher at IIMA\n* [**Atharva Peshkar**](https://www.linkedin.com/in/atharva-peshkar-43a104b7/)** (CTO):** PhD CS (CU Boulder), Researcher at Harvard VCG.\n\n**Our Ask** We are deploying via API or on-prem/edge for enterprise clients. We are looking for introductions to enterprises who require continuous visibility:\n\n1. **Defense & Intelligence:** Decision-makers requiring 24/7 ISR capabilities.\n2. **Finance:** HFTs and Commodity Traders needing an edge in supply chain monitoring.\n3. **Satellite Data Aggregators/Analytics** : If you buy SAR/Optical data and sell data products.\n4. **SAR/Optical Satellite Providers:** If you own a constellation, let’s partner up.\n5. **Agri/Climate/Others** : If you are anyone who uses high res, high frequency satellite images, feel free to dm us.\n\n**Check Axion here:**[ https://axionorbital.space/](https://axionorbital.space/)", "url": "https://www.ycombinator.com/launches/P7D-axionorbital-space-sota-foundation-models-for-24-7-earth-observation", "votes": 230, "created_at": "2026-01-06T19:18:05.835Z" } ] }, { "id": 31219, "name": "Voxel Energy", "slug": "voxel-energy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/74fcdd0e430ec52b7926e6bf7ffe4e4cbb1b2571.png", "website": "https://voxelenergy.com/", "all_locations": "", "long_description": "The best grid connection is no grid connection. Voxel builds vertically integrated energy generation and storage systems for data centers that bypass utility connection delays. \r\n\r\nBy leveraging the vast supply of second-life EV batteries and our novel DC microgrid architecture, Voxel generates datacenter power on site and drastically reduces system cost and time-to-power.", "one_liner": "Energy independent data centers with solar and repurposed batteries. ", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1768576763, "tags": [ "Hardware", "Solar Power", "Energy", "Renewable Energy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/voxel-energy", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/voxel-energy.json", "year_founded": 2025, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/voxel-energy/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/74fcdd0e430ec52b7926e6bf7ffe4e4cbb1b2571.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/31277/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAODIUI2QA%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022735Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJGMEQCICdQyGY%2BbftNLxtKIYzFPxdUXttuiP0N09%2F%2BUfBHiBuhAiBOSl161zU1GSzXg078adXidT%2BI1mNTN00xIiFabrEuZSrlAwg6EAAaDDAwNjIwMTgxMTA3MiIMkex8rUdJQnYvqkb2KsIDZvHjdb5Nj1eMSDUiIIyyiwfJ8RyPFxer5o1XPlMS8x%2FtN9n%2F7PvS5Wd7oFPHi1qVxZAOUh%2BsJ%2B%2BXOPvWZ3Ae6ZZbt6%2BpSxxIqhHajGvQPEffXaUpP5qEh5zdOBvoNiFOEcL3U5kvAXPdFAeyEQUSC22Zz6qlwEbD4gyjAVIG69Bq2BqpO5gGA142dDrsMk9Fpvvrw4sUrmoFsqVRjQeNNnbJ6kGBUpNWGmGUg9xVdF1g6zjy5AOLq9gaZMWpGvdL2up4UE8tZcCtovhQX7LttuknA2oMDZbhb%2Bm1111BTyQwfpo0mzYMWvLSVFktebdbrXNkCCYHuwzkc%2FAYLLBCHcwr959rGhfijkmBq8zJ6L%2F3m2hFjzDHCnZYPOz0rFWk1O%2FdpaLpo4%2B83owIv8pdLkfxnSwz7jpV83o7ddFuQwi3GyYhgDV9NKraaZUPDf35OffhHBAa9LNH9KBtXE%2B9EJapzAmTZRHX0y1pAaJdqK7NnCs3JXj5MlJbG%2Fk7qe6hMwsDLiNtlbMQ85QzyJJHGU4y3dM2z2PBRjDSvRfVwapQjnLimR6h7fxLZHe1JssWKCLL3Y7dNZqEc8LFx7ZPmRWFMOj92tYGOqYB1OGPMkYIGSgzUnwJVB6Fm37ysfFBg0lS7An85D5284tv08ntQNXM%2B3NjFf0CnSg8DB6Uagn6Pf8Hz0vPosKjbkPeKHdUWICNI6ZBqrBsIZuFlEJamVl3d%2B5M5pi50RkfxaC0jUNRP0kzypvFoXoBWM5zGuVWthjEJhSlwkhKt8FAj4eChg9bDGTNeM9DkgbxKs0YI84QCmRK0pRtLAv0T11YvQ%2FTTg%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=e3297b78877aa36e00bdb31ef7277fd0de7b13c1d2e7c8f0309febf74e422dad", "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/81/1774391857-5599085799c002c967a4024cb095b96d/2cc71b783752b0cfe418e57803619e56.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022735Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=1eb4cefdc0a9437fda09f178bd129b61225db68617bb5a23743fe81da3dd8c00", "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 1490644, "full_name": "Casey Spencer", "title": "Founder/CEO", "founder_bio": "Casey is an award winning engineer, and was previously Project Manager of Tesla’s Infotainment/Autopilot team, where he oversaw distribution of prototype hardware. Casey played a key role in Tesla’s “production hell” in 2018, leading teams that built ad-hoc assembly lines, then worked on those lines himself, building Model 3’s.", "is_active": true, "linkedin_url": "https://linkedin.com/in/casey-spencer", "x_url": "https://x.com/recnepsyesac", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/42c06b9683a76137bd9b3669bab6d83aabe249aa.jpg" }, { "user_id": 2980349, "full_name": "Max Pfeiffer", "title": "Founder/CTO", "founder_bio": "Forbes 30 Under 30 recognized for bootstrapping Maxwell Vehicles, a multi-million-dollar EV manufacturing business founded out of UW ECE following a year at Tesla designing electric big-rig prototypes. Built the first economically sustainable and materially circular model for manufacturing EVs using second-life EV batteries and motors. Now focused on transformational deployment of clean energy technologies in AI energy infrastructure. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maxpfeiffer/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ee8a9bcc82da6416d1f5819281280f190a6e5a48.jpg" }, { "user_id": 2970286, "full_name": "Evan Schmidt", "title": "Founder/COO", "founder_bio": "Evan is a business leader with over a decade of experience in architecture and commercial construction management, including work on data centers. His hands-on engineering and fabrication expertise allow him to integrate innovation with the practical demands of technical construction. Now deploying clean energy technologies to meet the demands of cutting edge computing.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zephyrschmidt/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cdb6df249a2e64eba137b2e389b49c6eea7c3ffd.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97253, "title": "Voxel Energy - Rapidly deployed data centers. Power included.", "tagline": "The best grid connection is no grid connection.", "body": "**TLDR;** [Voxel](http://voxelenergy.com/) is building data centers and power together, speeding new builds from years to months. \n\n**Ask;** If you or someone you know has GPUs and is stuck waiting for power, [we’d love to hear from you! ](https://www.voxelenergy.com/contact)\n\nOur Launch Video:[ https://youtu.be/ONSk5D4-evQ](https://youtu.be/ONSk5D4-evQ)\n\n\\\n**Our Team** \n\nVoxel was founded by ex-Tesla serial entrepreneurs and builders, who have spent the last decade defining the future of American energy consumption. \n\n* [Casey Spencer](https://www.linkedin.com/in/casey-spencer/), CEO, was Project Manager for Tesla Autopilot, and has since founded three hardware companies.\n* [Max Pfeiffer](https://www.linkedin.com/in/maxpfeiffer/), CTO, ex-Tesla, and listed on Forbes 30 Under 30 for founding the EV manufacturer Maxwell Vehicles.\n* [Evan Schmidt](https://www.linkedin.com/in/zephyrschmidt/), COO, years of experience managing millions of dollars of commercial, HVAC, and data center projects.\n\n**Problem** \n\nAI has maxed out the electrical grid. Average data center time to power is five years and growing. **$3 Trillion in data center projects are slated for construction by 2030, yet half may never be built due to power constraints.** Energy prices for everyone, everywhere, are creeping up. **The AI bottleneck isn’t chips - it’s power.**\n\n**Solution** \n\nVoxel Energy is building data centers with on-site solar energy generation, distribution, and storage for **24/7 power in months, not years**.  \n\n* **No Grid Connection Wait** because Voxel doesn’t need agreements with utilities.\n* **Solar at Scale** - we’re deploying hundreds of megawatts to power GPUs.\n* **24/7 Battery Storage** powers compute when the sun is down.\n* **Backup Generation** ensures redundant operation 365 days a year. \n* **Stable Power** with the rapid-response needed to handle dynamic training loads.\n* **Inherent Redundancy** from Voxel’s proprietary DC power distribution system.\n\n**We’ve Already Started**\n\nOur systems prototype is live, operational, and **already running off-grid compute.** Hundreds (Update: Thousands) of acres are already under contract.  And we’re already amassing batteries.\n\n**Now Accepting Reservations** \n\nVoxel is taking reservations for our existing sites. Capacity is limited. [Contact us](https://www.voxelenergy.com/contact) if you’re tired of waiting to power your compute. \n\n![uploaded image](/media/?type=post&id=97253&key=user_uploads/1490644/92dd2438-8663-490b-b01a-c8f97071bbb6)\n\n", "url": "https://www.ycombinator.com/launches/PIb-voxel-energy-rapidly-deployed-data-centers-power-included", "votes": 50, "created_at": "2026-01-28T08:33:47.413Z" } ] }, { "id": 31224, "name": "Servo7", "slug": "servo7", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f0947dcd80dc342c9f938f52c6f4959bc0b1b157.png", "website": "https://servo7.com", "all_locations": "Amsterdam, NH, Netherlands", "long_description": "We deploy robots in warehouses to automate the most demanding job in logistics: unloading loose-loaded containers.\r\n\r\nOur customers include 3PLs (CEVA, Stord), distributors (DHL, PostNL) and many more logistics companies.", "one_liner": "Container unloading robots for warehouses", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1769385653, "tags": [ "Robotics", "Logistics", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "Netherlands", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/servo7", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/servo7.json", "year_founded": 2025, "city": "Amsterdam", "country": "NL", "linkedin_url": "https://www.linkedin.com/company/servo7", "x_url": "https://x.com/Servo7Robotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f0947dcd80dc342c9f938f52c6f4959bc0b1b157.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2067100, "full_name": "Pieter Becking", "title": "Founder/CEO", "founder_bio": "Co-Founder of Servo7: Robots that unload containers in warehouses\n\nPreviously: Deep Reinforcement Learning at Boeing & LLM Engineer & shipped working Hyperloop. Built & sold recruitment tech startup.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pieterbecking/", "x_url": "https://x.com/pieterbecking", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b03fe8d0079f7616bfd9b0d8a2186ac2917faf5c.jpg" }, { "user_id": 2827656, "full_name": "Jasper van Leuven", "title": "Founder/CTO", "founder_bio": "Co-Founder of Servo7: Robots that 10x industry workers. Previously: Developed autonomous defence systems and deployed them in Ukraine. Built the first video generation model for autonomous driving before cosmos & sora.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jasper-van-leuven-14a3ba1b6/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a6bca74226ed2b3f26646eab57a36cd13bfade8.jpg" } ], "jobs": [ { "id": 101951, "title": "Founding Hardware Engineer", "url": "https://www.ycombinator.com/companies/servo7/jobs/yPnmJfu-founding-hardware-engineer", "location": "Amsterdam, NH, NL / Amsterdam, North Holland, NL", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 97659, "title": "Servo7 - Robots for Industry", "tagline": "Simple and rapidly deployed robots for industry work", "body": "Hey everyone, we’re [@Jasper](https://bookface.ycombinator.com/user/2827656) and [@Pieter](https://bookface.ycombinator.com/user/2067100), co-founders of [@Servo7](https://bookface.ycombinator.com/company/31224). We build simple and rapidly deployed robots for industry work.\n\n**TL;DR**\n\nToday, implementing robotics means redesigning your entire facility around a robot. This is inefficient and unnecessary. With Servo7, you don’t have to do any of that. Our robots adapt to your environment.\n\n\n\n**Problem**\n\nCurrently, industry robots are rigid single-purpose machines. Complete floor plans are redesigned around a single robot. As a result, the installation process is complex and inefficient.\n\nThis discourages many businesses from pursuing automation at all. That’s a missed opportunity.\n\n**Solution**\n\nInstead of adjusting the floorplan, redesigning the conveyor belts, and the outflow, our robots just work in the existing process.\n\nWe’re using AI models to train wheeled humanoids and robot arms. Once the robots are implemented, they’ll keep learning on the job: performing the tasks faster to increase throughput. The implementation of our robots is much faster and easier.\n\n![uploaded image](/media/?type=post&id=97659&key=user_uploads/2067100/e4f3ba51-26b4-4115-8b48-01502d7b9b6d)\n\n**How we got here**\n\nWe have been deploying robots and automating repetitive work for years, even in highly regulated industries like the military and hospitals. But, we also know the slow pain of traditional control methods. So we turned to AI to control robots, and found a much better way. Instead of pre-programming every possible movement, we put the robot to work with just a few demonstrations. We quit our jobs that same day to start Servo7.\n\nToday, we’re working with warehouses and CPG brands to automate their fulfillment.\n\n**Ask**\n\nIf you’re working in logistics, assembly, or manufacturing, our robots can help you improve your operations!\n\nReach out to us at [founders@servo7.com](mailto:founders@servo7.com) to chat. Cheers!", "url": "https://www.ycombinator.com/launches/PP9-servo7-robots-for-industry", "votes": 26, "created_at": "2026-02-09T17:41:22.358Z" } ] }, { "id": 31226, "name": "Libra Robotics", "slug": "libra-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e588f98ac537da3d55ea3c2b43b0bd505524c7f8.png", "website": "https://www.librabots.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Infrastructure faces rapid expansion and labor shortages. Today, robots struggle to scale to meet customers’ high-mix work needs. Libra builds AI that engineers robots for new tasks across embodiments. We go from each new infra task to field-deployable robots 10x faster. Today, our robots are working on solar farms and piloting in data centers. Contractors pay for completed work as a service, not robots.", "one_liner": "The robot workforce for infrastructure", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1783647531, "tags": [ "Hard Tech", "Robotics", "Construction", "Energy", "AI" ], "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/libra-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/libra-robotics.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/librabots", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e588f98ac537da3d55ea3c2b43b0bd505524c7f8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 3178817, "full_name": "Jermaine Zhao", "title": "Founder/CEO", "founder_bio": "Full-stack robotics engineer with an EE & ME background from Stanford. Built and deployed robots across industrial automation, agriculture, and utility-scale solar. Founder of Libra Robotics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jermaine-zhao-9439202a2/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/54d431097cd70fba6fbe8902e21879a923482e82.jpg" }, { "user_id": 2782328, "full_name": "Yaojing Huang", "title": "Founder/COO", "founder_bio": "Stanford Civil Engineering+CS | PhD defended in Construction Robotics\n\nDissertation on shared robotic platforms and reusable construction skills across tasks. Research at Center for Integrated Facility Engineering and the Stanford Robotics Center; taught Stanford’s Construction Robotics course; worked with 40+ contractors and robotics companies worldwide.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yaojing-h-0b903620b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9f3184f01d6822e5211831c041bd669f65ee31b5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 122276, "title": "Libra Robotics: The robot workforce for infrastructure", "tagline": "One intelligence layer, many robots. Across solar farms, data centers, and beyond.", "body": "Hey everyone 👋 We're Jermaine and Yaojing, co-founders of Libra Robotics. **We'll present & demo at YC's F26 Demo Day!** If you're attending, we'd love to connect.\n\n**TL;DR:** Infrastructure faces rapid expansion and labor shortages. Today, robots struggle to scale to meet customers’ high-mix work needs. Libra builds AI that engineers robots for new tasks across embodiments. We go from each new infra task to field-deployable robots 10x faster. Today, our robots are working on solar farms and piloting in data centers. Contractors pay for completed work as a service, not robots.\n\n\n\n\\[A simplified walkthrough of how Libra’s AI takes a real data center customer's task from initial requirements to robotic deployment - autonomously designing, simulating, testing, and improving along the way.\\]\n\n**The Problem**\n\nInfrastructure has a labor shortage. Robotics has a scalability problem.\n\nUnlike factories, infrastructure work is high-mix: tasks, designs, and environments constantly change. Single-task robots need custom engineering per task; general-purpose robots need enormous data to become reliable. **Neither scales to thousands of changing tasks.**\n\n**Our Approach**\n\nInstead of building one robot that does everything, we build **reusable robotic capabilities and AI that engineers them into new tasks.**\n\nMany infrastructure tasks share the same physical challenges: handling heavy components, precise positioning, alignment, and fastening. We've built a common set of robotic capabilities around these operations, designed to work across different robots and installation tasks.\n\nOur hardware-agnostic AI selects the right robot configuration and tooling, reuses existing skills, and engineers what is missing for each new task, reducing the need for custom engineering.\n\nIt validates solutions in simulation, then autonomously designs and runs physical experiments on our in-house robotic testbeds, stress-testing solutions against real-world variability (such as unexpected obstacles, changing environmental conditions, etc.). When a test fails, the system **diagnoses the failure, recovers, and iterates autonomously** - without human engineers in the loop. Through **recursive self-improvement (RSI)**, it continuously refines its approach toward field-ready performance.\n\n**Every task adds reusable knowledge, making the next one faster and cheaper to automate.**\n\n**GTM & Traction**\n\n**We deploy AI-powered robot crews to perform infrastructure work**, starting with solar installation and data center electrical work, including prefab MEP and busway installation. \n\n**We're already beyond the lab:**\n\n→ **Robots already deployed** on real solar construction sites\n\n→ **Signed commercial agreements** for solar installation\n\n→ **Data center pilots underway** for MEP automation\n\nWe land with one high-value task, then expand into more work for the same customer. Our goal is to achieve 100 million hours of robotic work annually by 2031.\n\n![uploaded image](/media/?type=post&id=122276&key=user_uploads/3178817/7e72e897-d6d4-4ed6-a547-0f5889a68de0)\n\n\\[Libra’s robots in action on solar farms\\]\n\n**Who We Are**\n\nYaojing did her Stanford PhD on the exact problem Libra solves: one shared robotic platform with reusable skills that generalizes across construction tasks. She has worked with 40+ contractors and construction robotics companies.\n\nJermaine previously led a team to build and deploy autonomous agricultural harvesting robots from the ground up, tackling complex manipulation, precision harvesting, and multi-robot coordination in unstructured real-world environments. He brings end-to-end experience turning robotics research into reliable, field-deployed systems.\n\n**Our Ask**\n\nWe're looking for introductions to:\n\n* **Data center GCs, EPCs & Prefab contractors** interested in deploying robots for prefab MEP installation, busway installation, and other electrical fit-out tasks.\n* **Solar EPCs & installers** with upcoming utility-scale projects interested in robotic installation.\n* **Robotics engineers & researchers** working on sim-to-real, autonomous robot engineering, and multi-embodiment learning who want to build with us.\n* **Investors** who are interested in backing the robot workforce companies for AI era.\n\nKnow someone we should talk to? We'd love an introduction!\n\nReach us at [founders@librabots.com](mailto:founders@librabots.com).", "url": "https://www.ycombinator.com/launches/VoC-libra-robotics-the-robot-workforce-for-infrastructure", "votes": 14, "created_at": "2026-10-15T15:49:58.924Z" } ] }, { "id": 31232, "name": "Remy AI", "slug": "remy-ai", "former_names": [ "Bright Eyed Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/94f9d60cdf58d3c7fc724152a315ad834ec78eec.png", "website": "https://www.tryremy.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Building robots and training models for automating manipulation in warehouse, starting with e-commerce 3PLs", "one_liner": "Automating dexterous tasks in warehouses with AI-powered robots", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1770934019, "tags": [ "Robotics", "Logistics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/remy-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/remy-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/remy-ai-2025", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/94f9d60cdf58d3c7fc724152a315ad834ec78eec.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": 1182398, "full_name": "Oscar Brisset", "title": "Founder/CEO", "founder_bio": "Oxford, AI Engineer at BCG X, now working on end-to-end learning for robotics ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oscarbrisset/", "x_url": "https://x.com/oscar__2025", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fc84e0375af73a1add39a9246fee99dc88fe7766.jpg" }, { "user_id": 3174376, "full_name": "Ben Kaye", "title": "Founder/CTO", "founder_bio": "Oxford engineering '22 and PhD tbd. Expertise in Spatial AI", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/ben-kaye-0/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/86a40536614763d9bfb931829495fdc91289e407.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97934, "title": "🤖📦 Remy AI - Dexterous robots for e-commerce 3PLs", "tagline": "Existing automation options for 3PLs are expensive and inflexible. We're building robots to change that.", "body": "Hi YC ! We’re Oscar and Ben and we’re building Remy AI.\n\n**TL;DR:** we're bringing the robotics revolution to the little guy by building AI-powered robots for e-commerce 3PLs.\n\n![uploaded image](/media/?type=post&id=97934&key=user_uploads/1182398/680c2630-17bb-498d-b1d1-1ad64cf55623)\n\n**⚠️The problem**\n\nWarehousing to this day remains highly manual. Whether it’s for inbound receiving, picking, or even truck loading, **more than 80% of warehouses in the US** have little to no automation.\n\n**E-commerce 3PLs** in particular suffer from this. Unlike large retailers or shippers, their inventory mix and volumes are **highly variable**, given their smaller size and greater exposure to e-commerce trends. Their contracts renew on an annual basis, their customers regularly go out of business, and the brands they work with frequently release new products.\n\nMost of the automation out there is designed for the big players. Stacker cranes, 2D/3D shuttles, or even more recently AMR-based systems - these all only make sense to invest in above a certain scale and predictability.\n\n![uploaded image](/media/?type=post&id=97934&key=user_uploads/1182398/487a824f-d1aa-4c7b-942e-add0a872b111)\n\nWhat _80% of 3PLs look like: rows of shelves of plastic totes and cardboard boxes with at best a couple conveyors._\n\n**Why is automation so limited?** Because existing solutions are expensive ($100-150K incl. solution + installation + servicing), bulky, and inflexible. They’re usually some mechanical system + a PLC that perform one rigid task repetitively with little to no room for customisation beyond some initial configurations. As a result, most 3PLs aren’t able to leverage these and stick to manual options.\n\n![uploaded image](/media/?type=post&id=97934&key=user_uploads/1182398/d87e20be-7be0-4950-a13c-1ea2671ad916)\n\n_Current automated packing stations: rigid mechanical systems with limited adaptability_\n\nYet this long tail of 3PLs is huge: \n\n* 70K 3PLs in the US\n* $1.2 trillion global market size\n* Growing at +8% per year given relentless rise of e-commerce\n\n**✅ The solution**\n\n**Remy AI is building flexible automation for e-commerce 3PLs.**\n\nWe deploy a robotic system that:\n\n* Adapts to new SKUs **without needing to be re-trained or re-programmed**\n* Can be dropped into **existing work stations** with minimal modifications\n* Can perform **dexterous tasks** that existing robots struggle with\n\nWe leverage a versatile bi-manual mobile platform which allows our system to be deployed on a **wide range of tasks**:\n\n* Mobile picking\n* Packing stations\n* Kitting\n* Receiving\n* …\n\nAnd crucially, we do this at a **50% lower cost** than existing solutions, by replacing mechanical complexity with intelligence.\n\n\n\n**🧠 How do we achieve this?**\n\nRecent developments in ML & robotics have made it possible to bring a human level of adaptability to robots. Whereas before you’d have to use a deterministic pipeline that would map specific object morphologies to pre-determined grasps, large pre-trained robotics & vision models now enable robots to generate trajectories and grasps by themselves, adapting in real-time to changing environments.\n\nCombined with recent advances in simulation and robot learning, we’re able to deploy highly customised systems by taking just a couple photos of the customer’s environment, generating that environment in simulation, to then fine-tune our robot to that specific deployment. Supplementing this with real world data captured at the customer’s site + a rigorous domain randomisation pipeline + our own error recovery algorithms, we’re able to deploy systems with production-grade reliability in days not months.\n\n**🤝🧑‍💻Our team**\n\nWe’ve been working in this problem space for several years. We met 7 years ago when we were both undergrads at Oxford.\n\n![uploaded image](/media/?type=post&id=97934&key=user_uploads/1182398/a0d166e5-4cb6-4a5b-8579-89f74288a061)\n\n**Oscar (CEO)** - AI engineer at BCGX, built ML infra for Fortune 500s, data engineer previously\n\n**Ben (CTO)** - PhD ML Oxford, embedded systems patent pending, robotics masters\n\n**Ask**\n\nWe’d love to chat to more e-commerce 3PLs and brands that handle their own warehouses. Reach out to us at [founders@tryremy.ai](mailto:founders@tryremy.ai). Thanks!", "url": "https://www.ycombinator.com/launches/PTa-remy-ai-dexterous-robots-for-e-commerce-3pls", "votes": 14, "created_at": "2026-02-18T17:21:02.655Z" } ] }, { "id": 31245, "name": "Squid", "slug": "squid", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/93fe1704e4703d232c51eb59b83175a7dcf288f7.png", "website": "https://squid.energy", "all_locations": "London, England, United Kingdom", "long_description": "We believe the electricity grid is the most important machine on Earth. If we want electrification to move fast, the teams planning and operating networks need software that is as modern as the challenge.\r\n\r\nOur thesis is simple. Better decisions come from one unified, trusted network model. When everyone works from the same model, planning becomes consistent, assumptions are visible, and progress stops getting lost in spreadsheets and static reports.\r\n\r\nSquid is AI powered grid planning in your browser. We have spent years inside National Grid, Octopus Energy, and AWS, building and learning what breaks. Now we are building what we wished existed.", "one_liner": "AI agents for power grid planning 🦑 ", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1768422882, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/squid", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/squid.json", "year_founded": 2026, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/squid-energy", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/squid-8289", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/93fe1704e4703d232c51eb59b83175a7dcf288f7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/458d1c9552b902a0518403c8ac5448409e9c1a99.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4dd68590f90952ff454dfa2326e734597fa6c348.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 2134143, "full_name": "Conor Jones", "title": "Founder/CEO", "founder_bio": "Co-Founder / CEO of Squid 🦑\n🐙 Octopus Energy, 📚 BCG, ⚡️ National Grid", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/conor-jones-aa6590141/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c757ff2fe9771afffbed7acb5e63089dc6a24f64.jpg" }, { "user_id": 2318150, "full_name": "George Kolokotronis", "title": "Founder/CTO", "founder_bio": "Co-Founder / CTO of Squid 🦑\nEx: 🐙 Octopus Energy (Head of Tech), ☁️ AWS, 🎓 Cambridge\n↪️ Repeat Energy/CleanTech Founder", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/george-kolokotronis/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/afcd412ccaf5636bde04c3d61c734dc9bedfcd6f.jpg" } ], "jobs": [], "news": [ { "title": "National Grid DSO partners with Squid to improve accessibility of electricity network data - theenergyst.com", "url": "https://theenergyst.com/national-grid-dso-partners-with-squid-to-improve-accessibility-of-electricity-network-data/", "date": "Mar 19, 2026" }, { "title": "National Grid launches new interactive flexibility portal (Powered by Squid 🦑) - Utility Week", "url": "https://utilityweek.co.uk/national-grid-launches-new-interactive-flexibility-portal/", "date": "Feb 11, 2026" }, { "title": "National Grid DSO launch new interactive FlexPortal (Powered by Squid 🦑) - theenergyst.com", "url": "https://theenergyst.com/national-grid-dso-launch-new-interactive-flexportal/", "date": "Feb 11, 2026" } ], "launches": [ { "id": 97179, "title": "Squid 🦑 AI-powered grid planning in your browser", "tagline": "The electricity grid is the most important machine on Earth - but planning is still file chaos. One trusted model fixes it.", "body": "**TL;DR:** Grid decisions still get made across emails, spreadsheets, PDFs, GIS exports, and conflicting model versions. [Squid](https://www.linkedin.com/company/squid-energy/) ([squid.energy](http://squid.energy)) gives utilities a single, trusted model (a live, versioned grid map of substations and lines, with evidence attached) so planning is consistent, and decisions ship faster.\n\n### **The problem**\n\nMost grid organisations have the tools for analysis, but the _decision trail_ is fragmented:\n\n* models live in specialist tools\n* evidence lives in decks/docs/spreadsheets\n* assumptions live in people’s heads\n\nResult: slow planning cycles, endless “which version is right?”, and hard-to-defend decisions.\n\n### **Our solution**\n\nSquid is a workspace where the **model of the electric grid at the center**.\n\n* **Unify** messy grid data into one coherent model (and keep it current)\n* **Version** everything so changes are trackable and comparable\n* **Attach evidence + assumptions** to the model, where decisions are made\n* **Run repeatable workflows** for planning, connections, and network change\n\n### **Why now**\n\nElectrification is accelerating and the grid is the bottleneck. The old workflow - files, handoffs, static reports - doesn’t scale to the pace of change.\n\n### **Why us**\n\nWe’re [Conor Jones ](https://www.linkedin.com/in/conorjones-energy)and [George Kolokotronis.](https://www.linkedin.com/in/george-kolokotronis/) We’ve built inside **National Grid, Octopus Energy, and AWS** - we’ve lived the pain, and we’re building the system we wish we had.\n\n### **Our ask**\n\nWe’re looking for **design partners** at grid operators (planning, connections, modelling, GIS, asset strategy). If that’s you - or you can intro us - please reach out: [**hello@squid.energy**](mailto:hello@squid.energy)\n\n![uploaded image](/media/?type=post&id=97179&key=user_uploads/2134143/a610c2ac-564e-4d73-a8d3-b0dacbdb6752)\n\n", "url": "https://www.ycombinator.com/launches/PHP-squid-ai-powered-grid-planning-in-your-browser", "votes": 15, "created_at": "2026-01-28T08:01:31.486Z" } ] }, { "id": 31249, "name": "Meteoric", "slug": "meteoric", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2429e5b744af3176c949e0f696004529640d5c5.png", "website": "https://meteoric.earth/", "all_locations": "San Francisco, CA, USA", "long_description": "Meteoric is building drones that clear clouds over solar farms and ultimately weaken severe storms and hurricanes.", "one_liner": "Drones that clear clouds over solar farms and weaken hurricanes", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1786601879, "tags": [ "Hard Tech", "Renewable Energy", "ClimateTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Climate" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/meteoric", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/meteoric.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://uk.linkedin.com/company/meteoric-inc", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2429e5b744af3176c949e0f696004529640d5c5.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": 2005935, "full_name": "Mete Karslioglu", "title": "Founder/CEO", "founder_bio": "Building drones that clear clouds over solar farms and ultimately weaken severe storms and hurricanes. \nPreviously developed spray nozzles to brighten clouds (MCB) at the Cambridge Centre for Climate Repair. \nCambridge MEng in Aerospace, Energy & Mechanical Engineering \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mete-karslioglu/", "x_url": "https://x.com/MeteKarsli0glu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b998b2251a59ddfe79caef102ec082aabdfe46ae.jpg" }, { "user_id": 2007524, "full_name": "Eric Nilsson", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at Meteoric (S26). We build drones that clear clouds over solar farms and ultimately weaken hurricanes. \nPreviously worked on capacitive sensing for digital microfluidics at the University of Cambridge.\nCambridge MEng in Engineering, specialised in Electrical & Electronic Engineering, Information & Computer Engineering, Instrumentation & Control.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eric-nilsson-2b3775254/", "x_url": "https://x.com/eric_nilsson_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9396f9942c88c3920b9d6d17d32c28275e141a56.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111583, "title": "Meteoric — Drones that clear clouds over solar farms and ultimately weaken hurricanes", "tagline": "Meteoric is building drones that reduce the reflectivity of clouds above solar farms and ultimately reduce the intensity of severe storms and hurricanes.", "body": "![uploaded image](/media/?type=post&id=111583&key=user_uploads/2005935/6f49c082-1391-4bb6-939f-8f92d0dee7a0)\n\n**TL;DR:** Meteoric is building drones that fly into clouds and reduce their reflectivity without spraying any chemicals. We're starting with clearing overcast clouds above utility-scale solar farms to increase their annual generation by 10–30% with no new infrastructure. Our long-term goal is to scale this system to weaken severe storms and hurricanes. First large-scale cloud clearing flight in 2027 and first storm flight in 2028.\n\nHey everyone! We’re [Mete](https://www.linkedin.com/in/mete-karslioglu) and [Eric](https://www.linkedin.com/in/eric-nilsson-2b3775254), and we’re building drones to engineer clouds.\n\n![uploaded image](/media/?type=post&id=111583&key=user_uploads/2005935/5c79de40-e828-4e83-aff5-e1ae0feb3dc4)\n\n⚡ **Starting with solar**\n\nAI has created an enormous demand for power, and solar is scaling exponentially. [US utility-scale solar capacity is set to double by 2030](https://cleanpower.org/resources/market-pulse-utility-scale-solar-summer-2026), and [the world will add 2+ TW](https://www.iea.org/reports/renewables-2025/renewable-electricity) over the same period.\n\nBut building new capacity is getting harder and less profitable. Only [\\~14% of US utility-scale solar projects](https://emp.lbl.gov/queues) actually get built and [773 GW is already waiting in interconnection queues](https://emp.lbl.gov/queues). \n\nAt the same time, generation costs are rising as tax credits are overhauled and tariffs increase material prices. This makes each additional MWh generated from an existing plant more valuable.\n\n[Low and mid-level overcast clouds cut incoming sunlight by 73–82%](https://www.sciencedirect.com/science/article/pii/0038092X80903916) while they’re overhead. We recover that without building new infrastructure. \n\n🌤 **What we're building**\n\nFleets of 10s-100s of autonomous drones that fly into low and mid-altitude clouds (1–5 km) over a solar farm and alter the water droplets that form them without using any chemicals. This reduces their reflectivity and brings back measurable amounts of sunlight to the panels below.\n\nOur cloud-loss model shows that this process can increase annual generation from existing assets by 10–30% across major US grid regions, worth \\~$5,000–28,000/MW, without building any new infrastructure.\n\n⚙️ **Traction**\n\n* Built a working prototype that dissipated an artificial cloud by 13% in cloud-chamber tests\n* Built a cloud-loss model that quantifies how much generation a given US solar plant is losing to the clouds we can treat\n\n👉 **Why now**\n\n* Cloud access got \\~97% cheaper: conventional seeding aircrafts cost $2,000+/hr; electric drones are at $30–60/hr. \n* AI is transforming weather forecasting: DeepMind's weather models produce [15-day forecasts in less than a minute](https://deepmind.google/blog/weathernext-ai-model-achieves-breakthrough-in-forecasting-cyclones/) and [outperform traditional physics-based models on more than 90% of benchmarks](https://developers.google.com/weathernext/guides/evals).\n\n🎯 **Weakening storms and hurricanes**\n\nOur ultimate goal is to reduce the intensity of severe storms and hurricanes.\n\nSevere weather has already cost the US [$31.9B in the first half of 2026](https://www.climatecentral.org/climate-services/billion-dollar-disasters), and from 2020 to 2024 severe storms, floods, and tropical cyclones caused [an average of \\~$121B/yr in losses](https://www.ncei.noaa.gov/access/billions/summary-stats). Severe storms alone generated [$50B+/yr in insured losses for the past three years](https://www.iii.org/press-release/triple-i-severe-convective-storms-generate-more-than-50b-in-insured-losses-for-third-consecutive-year-041326). There's now [a billion-dollar weather disaster every 16 days vs. every 82 days in the 1980s](https://www.ncei.noaa.gov/access/billions/climatology).\n\nGlobally, these disasters caused [over $2T in damage in the past decade](https://iccwbo.org/news-publications/policies-reports/new-report-extreme-weather-events-cost-economy-2-trillion-over-the-last-decade) and claimed [more than 2 million lives in the past 50 years](https://news.un.org/en/story/2023/05/1136897). \n\nClearing stable overcast clouds is our first major technical milestone. It will prove we can reliably alter clouds at scale. From there, we’ll expand our fleets and control systems to reduce the intensity of severe storms and hurricanes. First storm operation targeted for late 2028.\n\n👥 **Team**\n\nWe're two Cambridge engineers with backgrounds in weather engineering and droplet-control systems:\n\nMete (CEO): Master's research on making clouds more reflective using seawater spray nozzles at the Cambridge Centre for Climate Repair (funded by ARIA, UK's DARPA). MEng from Cambridge in aerospace/aerothermal, energy, and mechanical engineering.\n\nEric (CTO): Master's research on microfluidic chips that control water, and built droplet-removal technology for LiDAR lenses. MEng from Cambridge in electrical, control, and computer engineering. Placed 4th nationally in the British Physics Challenge.\n\n🙏 **We'd love to hear from you if you:**\n\n* work in disaster response or severe weather at the state or federal level (FEMA, state EMs, NOAA, NWS)\n* run hail suppression programs (North Dakota, Texas, Alberta)\n* own, manage, build, or operate utility-scale solar plants (especially in Texas, northern US, UK, or northern Europe)\n* work in weather modelling / meteorology / atmospheric science (especially in hurricane or storm research)\n* are engineers with experience in drones or high-voltage systems / power electronics\n\nReach us at [team@meteoric.earth](mailto:team@meteoric.earth)\n\n![uploaded image](/media/?type=post&id=111583&key=user_uploads/2005935/c0a9ce1e-492d-4687-8c6d-4d53a7bf67b2)\n\n", "url": "https://www.ycombinator.com/launches/T1j-meteoric-drones-that-clear-clouds-over-solar-farms-and-ultimately-weaken-hurricanes", "votes": 19, "created_at": "2026-08-21T20:00:00.552Z" } ] }, { "id": 31261, "name": "Control Seat", "slug": "control-seat", "former_names": [ "C42" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9fbf6b23216653c383d7f0caea2def1b673a3a5.png", "website": "https://www.controlseat.com", "all_locations": "San Francisco, CA, USA", "long_description": "Control Seat builds the hardware and software that helps industrial teams see, understand, and run their operations.\r\n\r\nOur platform creates one clear source of truth across the plant. It connects the systems teams already use, brings control, monitoring, history, and machine health together, and adds an intelligence layer that continuously watches for meaningful changes. Teams can understand what happened, catch problems earlier, and act before they become downtime.\r\n\r\nThe result is fewer surprises, faster decisions, and less time spent piecing together information across disconnected tools.\r\n\r\nWe work with manufacturers, utilities, energy companies, and other industrial operators modernizing existing facilities or building new ones.", "one_liner": "AI that runs factories. ", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1777448165, "tags": [ "Workflow Automation", "Monitoring", "Industrial" ], "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/control-seat", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/control-seat.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/control-seat", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9fbf6b23216653c383d7f0caea2def1b673a3a5.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": 3064044, "full_name": "Warren Shepard", "title": "Founder/CEO", "founder_bio": "Building a modern SCADA system to control and monitor factory hardware and replace legacy systems. Previously at Dartmouth ('26), SpaceX (Starlink), and Microsoft (security).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/warren-shepard-493a37201/", "x_url": "https://x.com/warrren_shepard", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff41fa222f3fc3b27bd9e580e1dee71f5754722d.jpg" }, { "user_id": 3132492, "full_name": "Jack Grodnick", "title": "Founder/CTO", "founder_bio": "Building Control Seat, the AI-native controls and monitoring stack for industry. We help industrial teams connect plant systems, understand what changed, catch problems earlier, and run operations with fewer surprises. On leave from Dartmouth. Previously at Tesla, SpaceX, and Amazon.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jack-grodnick/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b49172bc391f2b19dcde4aff68ff061ccd456a44.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 104972, "title": "Control Seat: the operating system for the physical world.", "tagline": "An AI-native controls (SCADA) platform and integration service.", "body": "\\\n\\\n**THE PROBLEM**\n\nIndustrial control software still looks and feels like it was built in the Windows 95 era. Manufacturers spend weeks stitching together Programable Logic Controllers (PLCs), Supervisory Control and Data Acquisition (SCADA), HMIs, databases, and custom integrations just to get systems running. Additionally, legacy systems collect enormous amounts of high-quality data, but don’t do _anything_ with it, even though it could easily be used for things such as anomaly detection or optimization recommendations.\\\n\\\n**OUR SOLUTION**\n\nWe're building an AI-native platform to unify the industrial control stack, starting with SCADA and eventually extending down to PLC hardware and the devices on the factory floor. We offer both a product and a service:\n\n**1) Software**\n\nWe already built a full SCADA system to replace legacy platforms like Ignition, WinCC, and FactoryTalk. It’s AI native: users can use AI to generate controls screens in seconds (this used to take hours), write custom scrips/logical flows, and automatically detect issues before they become catastrophic. \\\n\\\nNot only is this a full SCADA system, but it can operate on top of an existing one so that users can take advantage of our “intelligence layer” without having to rip out their current infrastructure (people understandably don’t like doing this).\\\n\\\n**2) System Integration** \n\nWe’ve recently expanded to become an AI-native industrial integrator. Instead of just selling our software, we integrate it into our clients existing stack for them, and help them set up any other tools they need to run it. \n\nOver the past few months, we've spent hundreds of hours talking with controls engineers, manufacturers, operators, and system integrators. We already knew that industrial software was broken, but we also learned that even when better technology exists, people are understandably cautious about adopting it. These systems run critical infrastructure and reliability matters more than novelty. Change is slow, but we want to reindustrialize America now.\n\n**Instead of waiting for the industry to adopt an entirely new software stack, we're bringing our technology directly into customer projects today.**\n\nWhile larger firms can spend millions on integration services, smaller firms don’t have that kind of money. Traditional integrators use highly manual methods to set up their clients software stacks (which are also outdated). By leveraging AI, we’ll be able to set up the same systems at 10x the speed and charge way less. \n\n**Our ask: if you’re exploring controls/automation systems, PLC programming, SCADA systems, or system integration**, **we’d love to talk. Or, if you know any deep tech companies that want to set up a controls system, let us know!**\n\nSee more at .", "url": "https://www.ycombinator.com/launches/RJ6-control-seat-the-operating-system-for-the-physical-world", "votes": 4, "created_at": "2026-07-09T14:31:33.522Z" } ] }, { "id": 31277, "name": "Dipole Labs", "slug": "dipole-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b476fcfad147bfb48b55b119e09431103b41f4d8.png", "website": "https://dipolelabs.com/", "all_locations": "Boston, MA, USA", "long_description": "", "one_liner": "AI-controlled optical switching for AI clusters", "team_size": 0, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1786560399, "tags": [ "Hard Tech", "Semiconductors", "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/dipole-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/dipole-labs.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/b476fcfad147bfb48b55b119e09431103b41f4d8.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": 3178902, "full_name": "Deepankur Thureja", "title": "Founder/CEO", "founder_bio": "CEO & Co-founder @ Dipole Labs\n\nBuilding optical switching and compute modules that make AI clusters faster and more energy efficient.\n\nPreviously I was a postdoctoral researcher at Harvard where I developed advanced photonic and quantum devices, working at the intersection of materials science, optics, and AI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dthureja", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec3f292a37bbde4475aa4c89de8203153d747800.jpg" }, { "user_id": 3179632, "full_name": "Gabriele Pasquale", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO @ Dipole Labs\n\nBuilding optical switching and compute modules that make AI clusters faster and more energy-efficient.\n\nPreviously, I was a postdoctoral researcher at Harvard, where I developed advanced photonic and quantum devices, working at the intersection of materials science, optics, and AI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gabrielepasquale", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4ab80d1378669d55ada2deb72073e9390f4cbbae.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110374, "title": "Dipole Labs: Shooting lasers to solve the billion-dollar bottleneck inside AI datacenters", "tagline": "High-speed optical circuit switches that keep data moving as light, giving AI clusters up to 25% more useful compute from the same hardware.", "body": "**The most expensive computers ever built spend about half their time waiting for data.** As AI clusters scale, it's increasingly the network that limits how much compute you can actually use.\n\n**What we're building** Dipole Labs builds high-speed optical circuit switches for AI data centers. Between racks, data already travels as light, but routing it usually means converting it to electricity and back, burning power, generating heat, and adding latency. Dipole's switch keeps data in the optical domain, targeting sub-microsecond reconfiguration at large port counts, so the network can reshape itself around each workload.\n\nAn AI-native control layer learns GPU communication patterns and synchronizes optical reconfiguration with training and inference, turning the network into an active accelerator instead of a bottleneck.\n\n**Why it matters** The result: a 10,000-GPU cluster could perform like one with 12,500 GPUs, up to 25% more useful compute from the same hardware. At the scale of a 1 GW data center, that's up to $1 billion in additional compute capacity every year. Optical switching is just the start, the same platform extends from moving data as light to computing with it.\n\n**Who we are** Deepankur and Gabriele met as postdocs at Harvard and have spent the last decade building the photonic expertise behind this technology. Deepankur (CEO) built scalable quantum-optical hardware at ETH Zurich, published in Nature, and was awarded the ETH Medal for his doctoral thesis. Gabriele (CTO) has built nanophotonic and quantum devices at EPFL, and solved a decade-old condensed-matter physics problem published in Nature Materials, which earned the IBM prize from the Swiss and Austrian Physical Society.\n\n**Our ask** We're opening design partnerships with hyperscalers and neoclouds that want more useful compute from the hardware they already run, plus collaborations with photonic foundries to take our custom devices from prototype to scale. If that's you, let's talk.", "url": "https://www.ycombinator.com/launches/SiE-dipole-labs-shooting-lasers-to-solve-the-billion-dollar-bottleneck-inside-ai-datacenters", "votes": 9, "created_at": "2026-08-13T17:30:00.146Z" } ] }, { "id": 31284, "name": "Origami Robotics", "slug": "origami-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/483745ec0ce0b61b675293fca49bf8749c113c1d.png", "website": "https://www.origami-robotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "We are building a \"manipulate anything\" model with the robot hardware that embodies it. We designed a hand-based data-collection device and a high DOF, direct drive robotic hand that match each other exactly, enabling us to eliminate embodiment gap and collect real-world data and deploy it directly. We want to scale real world manipulation data by deploying our devices \"in the wild\" like manufacturing factories, logistic centers to collect Tesla like data, use these data to train our model and then provide automation solutions to these industries.", "one_liner": "Manipulate Anything Robot", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1770611317, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/origami-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/origami-robotics.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/origami-robotics-inc", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/483745ec0ce0b61b675293fca49bf8749c113c1d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6764d2f825d2e2985e0d2dced9cc05f29cd656be.png" ], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 411575, "full_name": "Quanting(Daniel) xie", "title": "Co-founder", "founder_bio": "Roboticist (CMU RI); Building manipulate anything model", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/quanting-xie/", "x_url": "https://x.com/DanielXieee", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/97aff2005fe2b9ab948aa971ee88ab60d399530d.jpg" }, { "user_id": 1760667, "full_name": "Ryan Xie", "title": "Founder/COO", "founder_bio": "Serial hardware company founder. Working on something in physical AI space now", "is_active": true, "linkedin_url": "https://linkedin.com/in/quanliang-ryan-xie", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9997dfd0459dc3de14e8a7179a6f4e08e72fbd4c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98503, "title": "Origami Robotics: Make AI to Learn Physical Skills Easier than Ever", "tagline": "Robotic hand and Data Collection Device Designed for Robot Learning", "body": "![uploaded image](/media/?type=post&id=98503&key=user_uploads/1760667/cab991fb-9782-494c-ac5d-e8c4d6263e58)\n\n## **TL;DR**\n\nOrigami Robotics builds **high-DOF hand with in-joint motors** and co-designed data-collection glove that matches each other exactly. This eliminates embodiment gap, enabling us to collect real-world data and deploy it directly to the hardware.\n\nWe already sold our hands to Physical AI Labs like Amazon to push frontier of general manipulation further.\n\nVideo: \n\nHi, We are Daniel and Ryan.\n\nDuring Daniel’s Phd’s period when he studied robot manipulation in CMU Robotics Institute, he has been kept run into the same wall. There are no existing robotic hand that is truly designed for learning, and a severe lack of high-quality manipulation data. The large transmission(Checkout Daniel’s [Dexterity Deadlocks](https://www.origami-robotics.com/blog/dexterity-deadlocks.html) Blog) often found in current robotic hands making dynamics of the hand extremely hard to model. And the embodiment gap(different kinematics, contacts, and sensing of the robotic and human hand) make the distribution of the data collected for training and real world deploying too large for any policy to pick up skills and do real useful tasks.\n\nTo solve this, Daniel teamed up with his brother Ryan, a fellow robot enthusiast and serial robotics entrepreneur. Together, Origami decided to build our own robotic hardware and find a way to scale up high-quality robotic data. By optimizing miniature motor design and co-designing our data-collection glove alongside our robotic hand, We minimized sim-real and embodiment gap that has been haunting the robotic research community. Now, we can scale up high-quality data collection for dexterous, real-world tasks.\n\nWith Origami Robotics’s Hand, you can enjoy the benefits of easily transferring learned skills from simulation to real-world scenarios. You can also leverage the thousands of hours of minimum-embodiment real data we’ve collected to train the exact manipulation policies you need.\n\n**Let’s fold some origamis and a better future together!**\n\n## **ASK**\n\nPlease like and share this post with anyone you think we should connect with, whether they are a robotics researcher or an industry professional looking for automation solutions. We would love to talk!\n\nEmail: founders@origami-robotics.com", "url": "https://www.ycombinator.com/launches/Pcl-origami-robotics-make-ai-to-learn-physical-skills-easier-than-ever", "votes": 17, "created_at": "2026-03-05T19:50:14.928Z" } ] }, { "id": 31285, "name": "Brumby (Formerly GrazeMate)", "slug": "brumby", "former_names": [ "GrazeMate" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e7f64c3261f306e1859d503d40ad84601c127c82.png", "website": "https://brumby", "all_locations": "Sydney, NSW, Australia", "long_description": "Brumby builds autonomous drones that herd cattle.\r\n\r\nOn command, our drones fly to a paddock, position themselves around the mob, and move them where they need to go. What used to take a full day of helicopters, motorbikes, and horses now runs on a schedule.\r\n\r\nWe work with some of the largest cattle ranches in the world. While the drones are herding, they're also estimating animal weights, measuring grass biomass, monitoring water levels, and flagging sick animals. We're building physical AI that lets a grazier manage thousands of head across millions of acres from their phone.", "one_liner": "Robot Cowboys that Herd Cattle with AI Drones", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Agriculture", "launched_at": 1768433444, "tags": [ "Reinforcement Learning", "Drones", "Computer Vision", "Agriculture" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Agriculture" ], "regions": [ "Australia", "Oceania", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/brumby", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/brumby.json", "year_founded": 2025, "city": "Sydney", "country": "AU", "linkedin_url": "https://www.linkedin.com/company/105884860", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e7f64c3261f306e1859d503d40ad84601c127c82.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2933487, "full_name": "Sam Rogers", "title": "Founder/CEO", "founder_bio": "CEO of Brumby.\n\nSpent half my life on a cattle farm, and the other half building robots.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samson-rogers/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9019d14f0cd67dacb9f12edba5539dbeb3470e9f.jpg" } ], "jobs": [ { "id": 112676, "title": "Remote Pilot", "url": "https://www.ycombinator.com/companies/brumby/jobs/4L3nppN-remote-pilot", "location": "Sydney", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$85K - $150K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 112677, "title": "Embedded Systems Engineer", "url": "https://www.ycombinator.com/companies/brumby/jobs/d4z6kbg-embedded-systems-engineer", "location": "Sydney", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Bash/Shell", "C++", "Microcontrollers", "PCB design" ] }, { "id": 112678, "title": "Operations Associate", "url": "https://www.ycombinator.com/companies/brumby/jobs/n8GBsUB-operations-associate", "location": "Sydney", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $130K", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 112679, "title": "Perception Engineer", "url": "https://www.ycombinator.com/companies/brumby/jobs/A0m4omK-perception-engineer", "location": "Sydney", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "C++", "Python", "Machine Learning", "Deep Learning", "OpenCV", "Computer Vision" ] }, { "id": 112680, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/brumby/jobs/ar7aJ98-software-engineer", "location": "Sydney", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $160K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "iOS", "PostgreSQL", "Distributed Systems", "Terraform", "FastAPI" ] } ], "news": [ { "title": "GrazeMate Raises $1.2 Million As 19-Year-Old CEO Automates Cattle Mustering", "url": "https://www.forbes.com.au/news/innovation/grazemate-raises-1-2-million-19-year-old-ceo-cattle-mustering/", "date": "Jan 13, 2026" } ], "launches": [ { "id": 97388, "title": "GrazeMate (Now Brumby): Drones that Herd Cattle", "tagline": "We build autonomous “robot cowboys” that help ranchers move and monitor cattle.", "body": "**TL;DR** - Ranchers can spend hundreds of thousands per year moving cattle between fields. GrazeMate builds autonomous drone software to guide cattle - doing the work of helicopters and motorbikes with AI that understands animal behaviour.\n\n\n\n**❌ The problem**\n\nI'm Sam. I grew up on my family's cattle station in Australia, where we move cattle on motorbikes, helicopters, and horseback. It took hours each day and >$100k/year.\n\nIn the US, ranches spend anywhere from $10k–$1M per year and hours each day moving cattle just to keep them on fresh grass. It's expensive, risky, and hard to staff.\n\n**✅ The solution**\n\nGrazeMate's autonomous drones herd your cattle for you. What could take teams a full day now takes three clicks from a phone.\n\nOur system:\n\n* Finds your herd and guides them calmly to the next pasture\n* Uses AI that reads animal behaviour and applies pressure like an experienced stockman\n* Learns how your cattle respond and improves with every move\n\nWhy ranchers are switching:\n\n* More frequent moves → Better grazing, pasture use, and stocking rates\n* More affordable than traditional methods\n* Hours of herding → seconds on a phone\n* Real-time weight estimates, pasture data, and infrastructure insights\n\n![uploaded image](/media/?type=post&id=97388&key=user_uploads/2933487/a7e07817-bfde-4784-90ab-e4f9d16579b8)\n\n**🤠 Why us**\n\nMy family runs 6,000 head. I dropped out of robotics at University of Sydney after seeing both the challenges with modern ranching, and the capacity robotics has to help. Our team combines PhDs and engineers who grew up on ranches.\n\n**🙏 Our ask**\n\nWe're onboarding early partners. We’d be extremely grateful for introductions to:\n\n* Large grazing operations (US and beyond)\n* Ranch managers exploring rotational grazing\n* Industry leaders, cattle agents, feedlots, processors\n\nAnd if that’s you, schedule a demo on grazemate.com, or contact me at [sam@grazemate.com](mailto:sam@grazemate.com). I’d love to chat!", "url": "https://www.ycombinator.com/launches/PKm-grazemate-now-brumby-drones-that-herd-cattle", "votes": 30, "created_at": "2026-02-02T15:42:29.970Z" } ] }, { "id": 31287, "name": "DAIVIN!", "slug": "daivin", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/81520915f1b23922d076f3d69ef70548eb14face.png", "website": "https://www.daivin.tech/", "all_locations": "San Francisco, CA, USA", "long_description": "DAIVIN! builds tankless dive gear that unlocks breath autonomy in extreme environments. Starting from underwater environment our mission is to remove the need for dangerous, heavy and bulky oxygen tanks in space, air and on land and replace them with water!", "one_liner": "Tankless Dive Gear - Breath Autonomy at Sea, Land & Space", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1768898093, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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": [ { "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 idea started while diving. I surfaced, sat in a coffee shop, and asked a simple question: fish breathe underwater without tanks - why can’t humans? Diving gear is heavy, complex, and logistically constrained, yet the surrounding water already contains the oxygen we need. I looked into the physics and realized this wasn’t a biology problem, but an energy problem. By applying electricity to water, it’s possible to generate breathable oxygen on demand. That insight led me to start DAIVIN!. With support from my family and people along the journey, I committed full-time to turning that idea into a working system!" }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "The core problem is that human access to the ocean is still constrained by heavy, pressurized gas tanks. Diving depends on transporting, storing, and managing large volumes of breathing gas, which drives cost, complexity, and risk.\r\n\r\nThis is a big problem because tanks scale poorly. Supporting a single diver for hours can require dozens of cylinders weighing hundreds of kilograms / lbs, with significant capital cost, operating cost, and logistical overhead. These systems also introduce failure modes - equipment issues remain a major contributor to serious diving accidents.\r\n\r\nI decided to work on this after diving myself and realizing the constraint isn’t oxygen availability, but how we access it. Water already contains the oxygen we need. If a diver can generate breathable oxygen on demand using water and electricity, tanks - and the risks and logistics that come with them - can be removed. That realization led me to build DAIVIN!" }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Our long-term vision is to eliminate oxygen tanks entirely and replace them with on-demand breathing from water. Oxygen should not be a logistics problem; it should be generated where it’s needed.\r\n\r\nIf we succeed, access to extreme environments changes fundamentally. In the ocean, in space, at high altitude, in crisis zones, hospitals, and aircraft, breathing will no longer depend on transporting and storing pressurized gas. It will depend on water and energy - resources that are far more abundant, safer, and cheaper.\r\n\r\nThis shift matters because water is everywhere and oxygen gas is not. In space, oxygen exists in ice. In the ocean, it’s in water. On mountains, it’s in snow. Treating oxygen as something to be hauled around in tanks is a legacy constraint.\r\n\r\nJust as early semiconductor advances made computing ubiquitous, on-demand oxygen generation can unlock sustained human presence in environments that are currently difficult, dangerous, or inaccessible. Our goal is to make those environments reachable, scalable, and safe.\r\n\r\nCheck the dive video out here: " } ], "url": "https://www.ycombinator.com/companies/daivin", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/daivin.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/daivin", "x_url": "https://x.com/DAIVIN_TECH", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/daivin#overview", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/81520915f1b23922d076f3d69ef70548eb14face.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a158e55f932059d99046e384673afd9169457796.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 1925087, "full_name": "Leo Kankkunen", "title": "Founder/CEO", "founder_bio": "Invented and tested the first-ever tankless dive gear in history. Served in the military and became the youngest top-certified electrical engineer in Europe, authorized to independently sign electrical High-Voltage power line constructions. B.Eng. in Electrical Engineering and an M.Sc. in IEM and Innovation Management. A certified diver and two-time founder with a strong background in deep tech and innovation.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/leo-kankkunen/", "x_url": "https://x.com/se4lion", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8a6fef592b9190f2c2baaca1d26521593038ba9a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 96969, "title": "DAIVIN! - We let humans breathe underwater (without oxygen tanks!)", "tagline": "We use electrolysis to extract oxygen from water and convert it into breathable gas for divers", "body": "Hey everyone I´m [Leo](https://www.linkedin.com/in/leo-kankkunen/), the founder of [DAIVIN!](https://www.daivin.tech/)\n\n**TL;DR**\\\nDid you know, a single bottle of water contains enough oxygen to **sustain a** **human for a day?**\n\nDAIVIN uses electrolysis to extract the oxygen from water and convert it into breathable gas for divers, enabling tankless underwater breathing limited only by battery duration.\n\nDemo video: \n\n👤 **The Team**\\\nHi I’m Leo, I’m an electrical engineer with seven years of experience in the electrical industry and the youngest person in Finland to achieve the highest national electrical certification, authorizing me to independently execute and sign off complex electrical power lines. I’m also a certified diver and served in the military.\n\n# ❌ **The Problem**\n\nUnderwater diving technology hasn’t changed in almost 100 years, and is rife with problems:\n\n1. **Intense oxygen tank logistics.** Oxygen tanks hard-limit where, when, and how long a dive can happen. In elite and remote operations, logistics - not depth or physics - sets the limits on mobility, mission flexibility, safety, and cost.\n2. **Unsafe by design:** Pressurized gas systems add mass, failure modes, and cognitive load, making diving roughly **1,000× more dangerous than flying**. DAIVIN! replaces stored gas with on-demand oxygen generated from water.\n3. **Slow and exposed:** Bulky gear forces divers to move \\~5× slower than walking, extending task time and exposure. DAIVIN! reduces bulk and drag to restore underwater mobility.\n4. **Cost-prohibitive** Professional dive systems cost tens of thousands of dollars, with helium exceeding **$100 per tank**.\n\n# ✅ **Our Solution: Apply electricity to the water around you and dive safer, longer, and deeper than ever**\n\nDAIVIN! removes tanks entirely, enabling missions to start anywhere with a shoebox-sized system.\\\n\\\n\\*\\*Put on the vest:\\*\\*\\\nYou wear a lightweight vest with triple-redundant electrolyzers.\n\n\\*\\*Strap on the batteries:\\*\\*\\\nA lightweight battery belt replaces the traditional weight belt. The system is quadruple-redundant at the circuitry level, meaning that even if a wire were to fail, three independent paths per electrolyzer maintain continuous gas generation.\n\n**Electrolyzing H₂O**\\\nOur device uses the resource you are already in: water. We apply traditional electrolysis, where DC current splits the water molecule (H₂O) into oxygen (O₂) for breathing and hydrogen (H₂), enabling deep diving to depths of 200 meters / 650 ft without nitrogen narcosis, oxygen toxicity or dependence on expensive helium.\n\n\\*\\*Dive Freely:\\*\\*\\\nIf decompression is required, decompression time is reduced because hydrogen exits body tissues faster than nitrogen. If entangled, a single palm sized battery can provide **up to one hour of additional breathing time**. If operating remotely with no support team, recharge anywhere using solar power. No tank logistics. No cognitive load.\n\n![uploaded image](/media/?type=post&id=96969&key=user_uploads/1925087/29ed7bd4-aeaf-449a-b96e-e3ab81eb7a3d)\n\n# **✨Future**\n\nToday, oxygen is treated as a logistics problem: moving heavy, pressurized gas from point A to point B. That framing is wrong. Oxygen is fundamentally an **energy problem**.\n\nWhere logistics break down, on-demand generation wins. In crisis zones or at high altitude, carrying tanks is a liability. It is far more efficient to carry - or source - water and convert it into oxygen when needed, whether for wounded personnel or climbers operating far from support.\n\nThe same logic applies to space. A pressurized oxygen tank is limited in gas supply, but water is abundant, and already present. In space, we won’t transport air; we’ll extract oxygen from ice.\n\nEven in airplanes and hospitals, oxygen delivery still relies on bulky tanks or legacy systems like pressure swing adsorption that consume space and deliver lower purity oxygen. From first principles, water plus electricity yields the highest-purity oxygen possible.\n\nWe’ve been hauling the container when we should have been bringing the source.\n\n# 🌊 **How you can help!**\n\n* If you know professional or commercial divers, We´d love to speak with them.\n* 📧 [leo.kankkunen@daivin.tech](mailto:leo.kankkunen@daivin.tech)\n* Follow us on [LinkedIn](https://www.linkedin.com/company/daivin/), [X](https://x.com/DAIVIN_TECH) and check our [Website](https://www.daivin.tech/)\n* **Share this post!**", "url": "https://www.ycombinator.com/launches/PE1-daivin-we-let-humans-breathe-underwater-without-oxygen-tanks", "votes": 32, "created_at": "2026-01-23T05:08:49.579Z" } ] }, { "id": 31294, "name": "Dispatch", "slug": "dispatch", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d93a4cb68bc153f52d09c71b45093cc62ba91a62.png", "website": "https://dispatch.space/", "all_locations": "San Francisco, CA, USA", "long_description": "Dispatch is building refurbishable reentry vehicles that host and return payloads for companies making ultra-high-value materials (semiconductors, biotech, and pharma) that can only be manufactured in space. Right now, these companies have no practical way to manufacture and get their products back to Earth. We solve this bottleneck.\r\n\r\nWe just returned from the Mojave Desert testing our first full-scale reentry heat shield designed to protect the satellite as it returns from space at Mach 20+, built in an apartment for 100x cheaper than competitors. To test, we held it behind a rocket engine to simulate the forces of atmospheric reentry. IT WORKED! Watch here - https://youtu.be/dhlQmnIoptg\r\n\r\nTo scale, we anchor permanent infrastructure in orbit - building high power Autonomous Space Stations designed from day one for \"lights-out\" manufacturing serviced by the reentry vehicles.", "one_liner": "Satellites for Manufacturing in Space", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1773166639, "tags": [ "Hard Tech" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "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": null, "url": "https://www.ycombinator.com/companies/dispatch", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/dispatch.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dispatch-space", "x_url": "https://x.com/dispatchspace", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d93a4cb68bc153f52d09c71b45093cc62ba91a62.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": 564908, "full_name": "Payton Case", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Dispatch | Building satellites for in space manufacturing\n\nFormerly Astranis office of the CTO engineer driving everything from spacecraft architecture, to production, to their most critical mission operations.\n\n\nhttps://x.com/ngmxyz/status/1867769725415305593?s=19", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/paytoncase/", "x_url": "https://x.com/dispatchspace", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a2c7f68f1bf8be75821921f8a5399071e1026eef.jpg" } ], "jobs": [ { "id": 98190, "title": "Mechanical Engineer", "url": "https://www.ycombinator.com/companies/dispatch/jobs/7NBJCKG-mechanical-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$100K - $170K", "equity_range": "0.25% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98802, "title": "Aerothermal Engineer", "url": "https://www.ycombinator.com/companies/dispatch/jobs/ChtwGs9-aerothermal-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$100K - $170K", "equity_range": "0.25% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 110102, "title": "GNC Engineering Intern", "url": "https://www.ycombinator.com/companies/dispatch/jobs/JSbZ7qT-gnc-engineering-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Hardware", "salary_range": "$30 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 110103, "title": "Mechanical Engineering Intern, Spring 2027", "url": "https://www.ycombinator.com/companies/dispatch/jobs/506bLfE-mechanical-engineering-intern-spring-2027", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$30 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 110104, "title": "Electrical Engineering Intern", "url": "https://www.ycombinator.com/companies/dispatch/jobs/Rba7TJq-electrical-engineering-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Electrical", "salary_range": "$30 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 110105, "title": "Thermal Engineering Intern", "url": "https://www.ycombinator.com/companies/dispatch/jobs/XfQGhOI-thermal-engineering-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$30 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 110106, "title": "Flight Software Engineering Intern", "url": "https://www.ycombinator.com/companies/dispatch/jobs/tGYjKtS-flight-software-engineering-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Embedded systems", "salary_range": "$30 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 110465, "title": "Thermal Engineer", "url": "https://www.ycombinator.com/companies/dispatch/jobs/ttst5vc-thermal-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$100K - $170K", "equity_range": "0.25% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 99179, "title": "Dispatch | Satellites for Manufacturing In Space", "tagline": "Bringing things back from space shouldn't cost more than sending them up", "body": "**Gravity is an Invisible Constraint on Manufacturing.**\n\nSome of the most valuable materials we can make from perfect semiconductors, to novel pharmaceuticals, to 3D printed organs can only be manufactured in microgravity. Space unlocks an entirely new class of products impossible to create on Earth but the infrastructure to manufacture at scale in space and return the products to Earth doesn't exist yet.\n\nWe're Payton and Andrew. We spent 4 years together at Astranis building geostationary communications satellites. We know how to build hardware that survives the extreme environments of space. Now we're building the vehicles to bring it back.\n\n**We just got back from the Mojave Desert** where we tested our first full-scale reentry heat shield, designed to protect a spacecraft returning from orbit at Mach 20+. We built it in an apartment for **100x cheaper than competitors**, held it behind a rocket engine to simulate atmospheric reentry and it worked as designed! \n\n**The Problem: Getting things back from space is harder and more expensive than sending them up.**\n\nCheaper launch costs and new heavy launchers like Starship and New Glenn are driving a boom in space manufacturing. Pharmaceutical, semiconductor, and biotech companies are racing to produce in microgravity. But return is the bottleneck:\n\n\\- NASA pays **2x more** to bring cargo down from the ISS than to send it up\n\n\\- Human-rated vehicles add massive overhead costing **over $100,000/hr** for astronaut time\n\n\\- Return slots from the ISS are limited to a handful of Dragon missions per year, on\n\n  NASA's schedule, not yours\n\n\\- The ISS is aging infrastructure with an uncertain future and no clear successor\n\nAccess to orbit is cheaper than ever. Return is the unsolved problem. That's where we come in.\n\n**What We're Building:**\n\n**Phase 1: Reentry Vehicles (mid-2027 first flight)**\n\nRefurbishable, autonomous reentry vehicles designed for mass manufacturing. Customers manufacture products inside while in orbit. We return them to Earth, swap the heat shield, and fly again. No astronauts, no ISS, no 6-month wait. Dedicated missions on your schedule.\n\n![uploaded image](/media/?type=post&id=99179&key=user_uploads/564908/60dbaefc-95c5-4f64-8d26-0dbffe3404d1)\n\n**Phase 2: Uncrewed Space Stations**\n\nTo scale space manufacturing, you need permanent infrastructure in orbit. Serviced by our reentry vehicles. We're building high-power uncrewed space stations designed from day one for lights-out manufacturing unburdened by human life support, serving as a shared utility grid so payloads can leverage massive power without carrying the mass and complexity of their own high power bus.\n\n![uploaded image](/media/?type=post&id=99179&key=user_uploads/564908/4911d2cd-a89b-496d-b8f3-3c89d3763f3d)\n\nThe ISS proved that manufacturing in microgravity works. But it was built for humans, and everything that rides on it reflects that in their cost, schedule, and complexity. The next generation of space infrastructure doesn't need to. Advancements in autonomy let us build cargo-only vehicles from the ground up: cheaper, faster, and scalable. The space economy needs its own industrial layer and we’re here to build it.\n\n**We'd love to hear from you!** If you're building something that needs microgravity, dealt with reentry or thermal protection systems, or if you just have strong opinions about how space logistics should work - let's talk. ", "url": "https://www.ycombinator.com/launches/Pnf-dispatch-satellites-for-manufacturing-in-space", "votes": 34, "created_at": "2026-03-31T14:12:32.835Z" } ] }, { "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": 31303, "name": "Condor Energy", "slug": "condor-energy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8fb409eebab1bce05d1234942c6f03c6739eec60.png", "website": "https://www.condor.energy", "all_locations": "Paris, Île-de-France, France", "long_description": "Condor helps large electricity consumers - C&I and data centers - cut electricity costs by helping the grid.\r\nWe are former electricity traders and energy physicists. We build an AI-powered software that our clients use to optimize their energy procurement - making sure they always have access to cheap & reliable power.", "one_liner": "Software for enterprise energy procurement.", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1770133131, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/condor-energy", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/condor-energy.json", "year_founded": 2026, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/condorenergy", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8fb409eebab1bce05d1234942c6f03c6739eec60.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": 3197643, "full_name": "Jean Costa de Beauregard", "title": "Founder/CEO", "founder_bio": "CEO of Condor Energy - building the OS for next-gen energy procurement. Hydropower lover and energy nerd.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jean-costa-de-beauregard/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9cbd1b6bf2c113a14f4d71d74b18b45cb8761990.jpg" }, { "user_id": 3206910, "full_name": "Clément Grivel", "title": "Founder/CTO", "founder_bio": "CTO @ Condor Energy (building the energy intelligence platform for large consumers)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/clément-grivel/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4533f0cf4aae009a44bc7d859bf1b6cc481c0582.jpg" }, { "user_id": 3206915, "full_name": "Florian Pérocheau", "title": "Founder", "founder_bio": "CPO @ Condor Energy (YC W26). Currently building software to redefine how enterprises consume and procure electricity. Former equity quant and power trader.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/florian-perocheau/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b99f3340b13cee6ed7714549a6b9bcf121652db4.jpg" } ], "jobs": [], "news": [ { "title": "Condor Energy scrute avec l'IA les coûts des entreprises énergivores - GreenUnivers", "url": "https://www.greenunivers.com/2026/04/condor-energy-scrute-avec-lia-les-couts-des-entreprises-energivores-421552/", "date": "Apr 19, 2026" } ], "launches": [ { "id": 98121, "title": "Condor Energy - powering next-gen electricity supply", "tagline": "AI-powered cockpit for electricity procurement", "body": "Hey, we’re [Clément](https://www.linkedin.com/in/clement-grivel/), [Jean](https://www.linkedin.com/in/jean-costa-de-beauregard/) and [Florian](https://www.linkedin.com/in/florian-perocheau/) - electricity nerds building Condor Energy. We met in France, where Florian used to trade power, and Clément and Jean worked together on hydropower plants.\\\n\\\n**TL;DR:** Condor Energy builds software for next-generation electricity supply. We help C&I customers, data center operators and their utilities cut electricity bills by up to 20% and de-risk their operations. We’re live with a leading data center operator, large retail chains and European industrial companies.\n\n\n\n❌ **The problem**\n\nWe realized that as the grid moves towards renewables, large energy consumers like data centers would need better tools for their electricity management. We interviewed 200+ companies spending €Ms/y on power, and we realized this was a consistent problem.\n\n* Electricity costs are no longer “price \\* volume”: they depend on location, time of day, peaks, imbalance, regulation…\n* Large energy consumers must leverage highly complex options and invest $Ms : on-site generation and storage, long-term contracts, RECs, demand-response programs…\n* Yet, they still manage power on incorrect spreadsheets, manual forecasting, wrong data and simplistic simulations.\n\nAnd these errors lead to misinformed Capex investments, delayed interconnection, higher energy costs and unstable grids.\n\n**🧠 The solution**\\\nToday, Condor works with large companies in Europe, and we’re launching in the US. They currently use our software for their:\n\n* Hedging: a large European industrial simulates and tracks its hedge portfolios to secure long-term energy costs.\n* Budgeting: a major retail chain forecasts PPAs and Spot market exposure over all of its stores, and then verifies its invoice.\n* Investment: a leading data center operator with complex procurement optimizes its energy spending by simulating on-site & off-site investments.\n\n\\\nHere’s what Condor does for them:\n\n* Monitor and forecast their day-to-day energy needs and costs, on each facility and in total.\n* Improve their energy procurement and plan their investments based on accurate data, simulations and forecasts.\n* Plan their operations and steer their behind-the-meter assets directly via our platform.\n\nBecause we centralize and curate all their energy data (consumption, market, contracts, regulation…), our customers use Condor to make better decisions - saving millions and de-risking their operations.\n\n**Our ask:** If you are a business in the US or in France spending more than €1M/y on electricity, we can help you improve your energy procurement.\\\nVisit [condor.energy](http://condor.energy) to book a demo - or send an email to [jean@condor.energy](mailto:jean@condor.energy).", "url": "https://www.ycombinator.com/launches/PWb-condor-energy-powering-next-gen-electricity-supply", "votes": 23, "created_at": "2026-02-24T01:27:21.232Z" } ] }, { "id": 31325, "name": "Surtr Defense Systems", "slug": "surtr-defense-systems", "former_names": [ "Overwatch Systems", "Parallax" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab5a7de765aab31de659bc6429451ecb734f5da7.png", "website": "https://surtrdefense.com", "all_locations": "San Francisco, CA, USA", "long_description": "Surtr builds ParallaxOS, the open operating system for counter-UAS. It takes sensor data from any radar, RF detector, camera, or acoustic array and fuses it into a single unified picture with AI-driven threat classification and engagement recommendations. One interface, any hardware, human in the loop.", "one_liner": "The hardware-agnostic operating system for drone defense", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1778573258, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 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/surtr-defense-systems", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/surtr-defense-systems.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/surtr-defense-systems/", "x_url": "https://x.com/surtrdefense", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab5a7de765aab31de659bc6429451ecb734f5da7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 679653, "full_name": "Anshul Ahluwalia", "title": "Founder/CEO", "founder_bio": "Ex Shield-AI Autonomy Engineer working on building open & modular C2 for Counter UAS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anshul-ahluwalia-17658264/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6a20e16eff2335e51f70f393b84179b4fc849444.jpg" }, { "user_id": 3421205, "full_name": "Cameron Fiore", "title": "Founder/CTO", "founder_bio": "Building a hardware-agnostic, AI operating system for air defense. Before Surtr, I was an an autonomy engineer at Anduril and Shield AI, where I worked on missile defense systems and robot teaming in contested environments.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/camfiore/", "x_url": "https://x.com/cam_fiore", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bff72c22089a586864267add9be8d49f18c357a0.jpg" } ], "jobs": [], "news": [ { "title": "Exclusive: Surtr Raises $5M Seed for C-UAS Integration", "url": "https://www.tectonicdefense.com/exclusive-surtr-raises-5m-seed-for-c-uas-integration/", "date": "Jul 07, 2026" } ], "launches": [ { "id": 101258, "title": "Surtr Defense Systems", "tagline": "An Open Operating System for Counter-UAS", "body": "TLDR: We solve the interoperability problem in drone defense by being the operating system people actually trust and want to integrate with\n\n**What We Do**\n\nSurtr builds ParallaxOS, the open operating system for counter-UAS. It takes sensor data from any radar, RF detector, camera, or acoustic array and fuses it into a single unified picture with AI-driven threat classification and engagement recommendations. One interface, any hardware, human in the loop.\n\n**Demo Video**\n\n\n\n**Backstory**\n\nMy cofounder Cam and I are both autonomy engineers. I was at Shield AI building autonomy for Group 3 & Group 5 aircrafts. Cam was at Anduril doing the same.\n\nWe both saw the same problem from the inside: integrating sensors and effectors into existing C2 platforms is painful. The incumbent system uses a proprietary SDK with a revocable license where they alone decide who counts as \"compatible.\" Primes don't want to build on that. One OEM Cam worked with on Golden Dome refused to integrate, so the C2 vendor had to hire a third party to hack the data off the radar. More time, more money, worse product.\n\nParallaxOS is designed to be completely open. Anyone integrating with us has full transparency as to how their sensor/effector data is being used and where it’s being stored.\n\n**Asks**\n\n1\\. **Intros to defense program managers** working C-UAS (Army, SOCOM, Air Force, Navy, allied forces, etc.). Especially anyone evaluating or frustrated with current integration timelines.\n\n2\\. **Intros to sensor/effector hardware companies** (radar, RF, EO/IR, EW, kinetic defeat). We integrate with any hardware that has an API. Every partner that plugs in makes the ecosystem stronger for everyone.\n\n3\\. **Intros to anyone with firsthand experience operating C-UAS systems.** We want to hear what's broken from the people who use it.", "url": "https://www.ycombinator.com/launches/QLC-surtr-defense-systems", "votes": 8, "created_at": "2026-05-13T06:04:46.304Z" } ] }, { "id": 31333, "name": "PerfectBit, Inc.", "slug": "perfectbit-inc", "former_names": [ "Gikl, Inc", "PerfectBit" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/900c210e3f57ee42221dbb5ea21f81418b553e70.png", "website": "https://perfectbit.ai", "all_locations": "San Francisco, CA, USA", "long_description": "PerfectBit builds learned policies for robots that do real work. We train manipulation and control policies that hold up outside the lab, in the unstructured environments where real tasks actually happen. Founded by two alumni of Meta's Superintelligence org: Péter Vajda led Media GenAI foundation-model R&D (Emu, Movie Gen, image and video editing), and Seiji Yamamoto led teams in the Core Llama group across LLM pre-training and post-training, inference optimization, and computer vision. We're early, deliberately quiet about the details, and hiring the first researchers who will shape what this becomes. San Francisco, on-site.", "one_liner": "Robotics", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1773359306, "tags": [ "Machine Learning", "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "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/perfectbit-inc", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/perfectbit-inc.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/perfectbit", "x_url": "https://x.com/PerfectbitAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/900c210e3f57ee42221dbb5ea21f81418b553e70.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": 3007971, "full_name": "Seiji Yamamoto", "title": "Founder", "founder_bio": "Led teams in the Core Llama group at Meta Superintelligence Labs. Senior Staff Research Scientist across 9 years at Meta spanning LLM pre-training and post-training, inference optimization, full-duplex speech models, and computer vision vision models. Before tech: PhD in Physics, published in Proceedings of the National Academy of Sciences and Physical Review Letters, co-authored with Fields Medalist. Educated at Stanford, Rice, Columbia, post-doc at a National Lab. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/seiji-yamamoto-a630897/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b3404aa262c227d308c4e89f01657ebd082beaef.jpg" }, { "user_id": 45070, "full_name": "Peter Vajda", "title": "Founder", "founder_bio": "\nI worked as Director of Media Generation at Meta before 2026 for 11 years.\nI was managing the Media GenAI foundation model research and development, including efficient media generation, text to image generation (Emu), image editing, Movie gen, text to video, video editing and character consistent image and video generation. Previously, led efficient deep learning for computer vision teams supporting on-device models for AR/VR. \nI was Assistant Professor at Stanford University", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/p%C3%A9ter-vajda-9a03aaa/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0315fd092411900f3bed846cb6807bfb6d6290d6.jpg" } ], "jobs": [ { "id": 96987, "title": "Hiring Research Scientists and Research Engineers at PerfectBit", "url": "https://www.ycombinator.com/companies/perfectbit-inc/jobs/snGw8px-hiring-research-scientists-and-research-engineers-at-perfectbit", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$100K - $300K", "equity_range": "0.10% - 3.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "C++", "Python", "Deep Learning", "Reinforcement learning (RL)", "Computer Vision", "CAD Design", "Blender", "LLMs", "Transformers", "AI Agents", "Multimodal AI", "Diffusion Models" ] } ], "news": [], "launches": [ { "id": 101365, "title": "PerfectBit: AI Training data, correct by construction", "tagline": "Specialized data for the world's most powerful models.", "body": "# **TL;DR**\n\n_PerfectBit creates high-quality training data that's correct by construction. We verify against physics simulators, scientific databases, formal proof systems. It's what models need to cure hallucination, close common-sense gaps, and reach superintelligence. Reinforcement Learning from Verified Rewards (RLVR) was an early step in this direction. We go further. LLMs, robotics, AI for Science, and more._\n\n\n\n# **The problem: the failures standing between today's models and superintelligence**\n\nFrontier labs are bottlenecked on four data problems:\n\n* **Hallucination.** Models trained on noisy web scrapes produce confident, fluent statements that are wrong.\n* **Common-sense failure.** Models that solve graduate-level math still trip on trivial problems for a five-year-old.\n* **Information scarcity.** Scientific facts, formal derivations, peer-reviewed findings — they're a thin minority of tokens in any open-web scrape, drowned out by orders of magnitude of recipes, marketing copy, forum chatter, and AI-generated slop. Scaling the scrape doesn't change the ratio.\n* **Human annotation doesn't scale.** It's slow, expensive, and capped at human ability — superintelligence won't come from labeling at human throughput.\n\n# **What we do**\n\n* PerfectBit creates high-quality training data that's correct by construction. Every sample is generated against an oracle — physics simulator, scientific database, formal proof system — and verified before it ships, in text, code, image, audio, or video. For LLMs, we project observations about the world into natural language; for verticals like robotics and AI-for-science, we ship purpose-built datasets.\n\n# **Why us**\n\nWe've trained the models we're now building data for.\n\n* **Peter Vajda** — Former **Director of Media Generation at Meta**. Eleven years at Meta. Most recently led Media GenAI foundation-model R&D: **Emu** (text-to-image), image editing, **Movie Gen**, text-to-video, video editing, character-consistent generation. Earlier led efficient deep learning for computer vision powering on-device Augmented Reality and Virtual Reality (AR/VR) models. **Assistant Visiting Professor at Stanford** before Meta. PhD in Computer Science.\n* **Seiji Yamamoto** — Led teams in the **Core Llama group at Meta Superintelligence Labs**. Nine years at Meta as a **Senior Staff Research Scientist** across LLM pre- and post-training, inference optimization, full-duplex speech, and computer vision. **PhD in Physics**, publications in **Proceedings of the National Academy of Sciences** and **Physical Review Letters** (co-authored with a Fields Medalist). Stanford, Rice, Columbia; postdoc at a National Lab.\n\nBetween us: foundation-model training across text, image, video, and speech, shipped to billions of users — plus scientific chops to design the verifier stacks.\n\n# **We’d love to talk more**\n\nWe're talking to a small number of frontier AI labs about pilot engagements.\n\n* **Heads of data / data partnerships** at frontier labs\n* **Research leads** running pre-training, mid-training, post-training, or reasoning programs and shopping for a corpus that doesn't exist yet\n* **Model-training teams** preparing a next-gen training run who want a correct-by-construction supplement in the mix\n* **Researchers in formal methods, scientific computing, or domain-specific simulators** who want to contribute a verifier stack — we'd love to talk\n\nWe're also **hiring research scientists and engineers in San Francisco** (in-person). If you've shipped foundation-model training, built formal/simulation tooling or spent time developing AI training data at production scale, please reach out.\n\n# **Contact**\n\n* **Web:** [**https://perfectbit.ai**](https://perfectbit.ai)\n* **Email:** [**founders@perfectbit.ai**](mailto:founders@perfectbit.ai)\n* **Founders:** Peter Vajda, Seiji Yamamoto", "url": "https://www.ycombinator.com/launches/QMv-perfectbit-ai-training-data-correct-by-construction", "votes": 8, "created_at": "2026-05-14T19:03:28.026Z" } ] }, { "id": 31341, "name": "Most Robotic", "slug": "most-robotic", "former_names": [ "Instance" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/16ccadcbd2ec474ed470efbc872763f4a7984ec0.png", "website": "https://mostrobotic.com/", "all_locations": "San Francisco, CA, USA", "long_description": "We're a robotics research lab pushing what's possible with physical AI.\r\n\r\nWe're MIT computer scientists & friends since middle school, with robotics research backgrounds and industry experience at NASA JPL, SpaceX, and AWS.", "one_liner": "Research lab building the most robotic household in the world", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1782761102, "tags": [ "Robotics", "AI" ], "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/most-robotic", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/most-robotic.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mostrobotic/", "x_url": "https://twitter.com/mostrobotic", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/16ccadcbd2ec474ed470efbc872763f4a7984ec0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5d0a5df4551ace828d9502da4d71b644d4143a15.png" ], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 3107325, "full_name": "Claire Mao", "title": "Founder/CEO", "founder_bio": "MIT Math + CS. Aerospace research @ MIT Media Lab; prev @ NASA JPL", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/clairemao-/", "x_url": "https://x.com/clairemao78", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8bc8742026b7ae3d795367ca9cbc052f0035d9c3.jpg" }, { "user_id": 2386225, "full_name": "Lucy Cai", "title": "Founder/CTO", "founder_bio": "MIT CS + AI. Robotics research @ MIT LIS Lab; prev @ SpaceX, Amazon (AWS)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucy-cai/", "x_url": "https://x.com/LucyCai9", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7e3c58d6a8b486439a545ea902cf0dd6981d51ed.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 105382, "title": "Instance: Automated evaluation for robot policies, starting with the success detector", "tagline": "Today, evaluating a robot policy means humans have to watch the robot roll out, mark success, and reset the scene – we're automating that.", "body": "**TL;DR:** We’re **automating robot evaluation**– the loop where you wait for your robot to roll out, judge its success, and then reset the scene. Today, we’re launching step one: a **success detector** that automatically tells you whether your robot actually completed its task. Book a demo with [founders@instancelabs.ai](mailto:founders@instancelabs.ai) and we’ll visit your office to show you how it works!\n\n\n\n**The problem**\n\nIn Lucy’s robotics research this past year, she **spent way too much time being a babysitter for her robot**. Her project was to get a humanoid to find objects around a room, so her days went like this: start a rollout, watch the robot open all the drawers in the room for 30 minutes, mark success/fail in a spreadsheet, then get up, close all the drawers, and put the objects back where they started. Then do it again, and again, and again. Some days ended with back pain, and for weeks she couldn’t work on anything else because she was stuck doing exactly this.\n\nThat was one robot, in one lab, running a single policy. Industry teams run fleets of robots across dozens of policies, with **multiple people assigned to sit and watch each one**. Every robotics team we’ve talked to has some version of this– and it will only grow as robot foundation models scale.\n\n**Our solution**\n\nInstance is building the **autonomous evaluation rig for robot learning**: your robot rolls out, we judge success, a second robot resets the scene, and the next rollout starts– with no humans in the loop at all.\n\nToday, we’re starting with the success judge. Point us at a task description and your video rollouts, and we return a verdict with detailed subtask captions. We benchmarked our verifier against 10,000+ held-out, human-labeled episodes across 7 robot platforms, and it resulted in **higher accuracy than Claude Opus 4.8, at a fraction of the latency.**\n\n**Try it**\n\nTry it at [demo.instancelabs.ai](http://demo.instancelabs.ai) – drop in a video, or record one from your phone and watch it get verified live.\n\n**Team**\n\nWe’re Claire and Lucy, MIT grads and friends since middle school! \n\nClaire studied math and CS at MIT. At NASA JPL, she built software to simulate planetary atmospheres, and at the MIT Media Lab, she researched sustainable propulsion for spaceflight. She loves working where software meets the physical world.\n\nLucy studied CS at MIT and completed her MEng in MIT's Learning and Intelligent Systems lab. She’s an experienced robotics researcher, and has in the past worked on satellite software at SpaceX, LLM unit testing at Amazon, and brain computer interfaces at Blackrock Neurotech.\n\n**Our ask**\n\nIf you are:\n\n* training robot policies\n* running evals\n* deploying robots in the real world\n* or can intro us to someone who is,\n\nEmail us ([founders@instancelabs.ai](mailto:founders@instancelabs.ai)) to book a demo. We’d love to swing by your office with sweet treats to show you how it works!\n\n![uploaded image](/media/?type=post&id=105382&key=user_uploads/3107325/d03f1074-ae6e-4ab3-acdd-81ff69be93b6)\n\n", "url": "https://www.ycombinator.com/launches/RPi-instance-automated-evaluation-for-robot-policies-starting-with-the-success-detector", "votes": 36, "created_at": "2026-07-13T20:48:30.605Z" } ] }, { "id": 31362, "name": "Discovered Materials", "slug": "discovered-materials", "former_names": [ "MatForge", "Matforge", "matforge" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8369f21b7293d92e30b956a07f47bda16f550d10.png", "website": "https://discoveredmaterials.com", "all_locations": "San Francisco, CA, USA", "long_description": "We use AI to discover new materials for the semiconductor industry - specifically datacenters and fabs. Finding novel materials today takes 10+ years of lab work. We aim to compress that timeline to months, using a swarm of AI agents.\r\n\r\nAkash completed his PhD at Stanford on material discovery for semiconductors. The materials he discovered for nanoscale interconnects have been adopted into the roadmaps of Intel and TSMC. Advaith was the founding applied scientist at Persona AI (acquired by Luma Labs), where he built long horizon autonomous agents for major telecom and crypto companies.\r\n\r\nPower consumption and heat release from AI chips is doubling every year. The semiconductor industry needs new materials to keep this exponential going - Discovered Materials will help find them. ", "one_liner": "AI scientists to discover materials for the semiconductor industry.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1773874719, "tags": [ "Semiconductors", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 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/discovered-materials", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/discovered-materials.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/discoveredmaterials/", "x_url": "https://x.com/discoveredmat", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8369f21b7293d92e30b956a07f47bda16f550d10.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": 1591131, "full_name": "Advaith Sridhar", "title": "Founder/CTO", "founder_bio": "Founder at Discovered Materials. Alma Matter: CMU, IIT-Madras", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/advaith-sridhar/", "x_url": "https://x.com/advaith_sridhar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a2a4eab0b5bf3bce54ab8ffd698f21f9a70b5b01.jpg" }, { "user_id": 3366857, "full_name": "Akash Ramdas", "title": "Co-Founder", "founder_bio": "Discovering the next silicon using AI scientists. Co-founder at Discovered Materials\nMS, PhD, Post-Doc at Stanford - Material Science and Engineering", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/akashramdas/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a6951fc1e2371c91e2a13ef33d4a33fbfe2947fb.jpg" } ], "jobs": [ { "id": 103669, "title": "Founding Equipment Engineer", "url": "https://www.ycombinator.com/companies/discovered-materials/jobs/0mX5dLu-founding-equipment-engineer", "location": "Mountain View, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Chemical engineering", "salary_range": "$150K - $250K", "equity_range": "1.00% - 2.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 99882, "title": "Matforge - AI Scientists to discover new semiconductor materials", "tagline": "Discovering 10x better materials for use in next generation electronic chips", "body": "# Accelerating scientific discovery\n\n**Tl:dr** We’re building AI scientists to discover new materials for the semiconductor industry. If you know **Packaging/thermal engineers** at chip companies like NVIDIA, AMD, Groq, Cerebras, Google, Intel, Samsung, TSMC etc, please put us in touch! \n\n—----------\n\nDiscovering a material with commercial viability is usually a story of persistence.\n\nThe incandescent lightbulb filament came not from a single guess, but from Edison trying **6000+** candidate materials over 20 years. The first transistor ever made in Bell labs was famously **not with silicon**, but germanium.\n\n![uploaded image](/media/?type=post&id=99882&key=user_uploads/3366857/c84e2115-5738-4845-a320-4825fc7ae0c8)\n\n_(left) The first transistor, made from Germanium. (right) some materials Edison tried as lightbulb filaments_\n\nThe same holds true in the semiconductor industry. We really need better materials for our chips, but finding them takes 10+ years of lab work.\n\nAt Matforge, we build AI agents to **accelerate** this process of finding new materials for the semiconductor industry. Our agents work across the entire materials discovery process - coming up with new candidates, synthesizing them and testing them in **physical labs.**\n\n![uploaded image](/media/?type=post&id=99882&key=user_uploads/3366857/fa73a824-db61-4271-8160-39c58b55b6d3)\n\n**The founders -** Advaith has a Masters in AI from **Carnegie Mellon**, and was most recently a **research engineer** at Luma Labs, building agent harnesses and working on frontier models. Akash has a Masters, PhD and PostDoc from **Stanford University** in **materials discovery** for the semiconductor industry. We’ve known each for the last **11 years**, and have even written a book together!\n\nBreakthrough materials will still take many, many experiments. But for the first time, a small team might just have the tools to speed up this search and win.", "url": "https://www.ycombinator.com/launches/Pz0-matforge-ai-scientists-to-discover-new-semiconductor-materials", "votes": 25, "created_at": "2026-04-21T16:04:21.392Z" } ] }, { "id": 31366, "name": "Nine Fives", "slug": "nine-fives", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/12cace5da5d5e5852e19a386d33613f3f8222281.png", "website": "https://ninefives.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Nine Fives produces modern radio frequency test equipment and solutions to disrupt the $130B test equipment industry. By combining modern electronics, AI ready test automation, and strategic supply chains, we’re equipping our customers to cut their time to market in half.", "one_liner": "RF test equipment for next-gen spacecraft, drones, and cellphones", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1775260036, "tags": [ "Hard Tech", "Aerospace", "Telecommunications" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "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/nine-fives", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/nine-fives.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nine-fives/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/12cace5da5d5e5852e19a386d33613f3f8222281.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": 2413649, "full_name": "Noah Levy", "title": "Founder/CEO", "founder_bio": "Calibrated largest phased array in SpaceX history, designed Starship primary RF hardware, worked on radar altimeter for Falcon 9 and S-Band Transceiver for Dragon 2 capsule. I am not a fan of modern RF test equipment from legacy vendors.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/noahmslevy/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4824d2f4b270789c6f137b5e6d9e0e7fb040ee1a.jpg" }, { "user_id": 3423274, "full_name": "Andrew Kurtz", "title": "Founder", "founder_bio": "I spent the last 9 years as a mechanical engineer working on a wide variety of aerospace products. Now building better test equipment with Nine Fives", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andrew-e-kurtz/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/396d9cf39bf31b1e84877f58de6d522a30909c63.jpg" } ], "jobs": [ { "id": 97341, "title": "Founding Electrical Engineer", "url": "https://www.ycombinator.com/companies/nine-fives/jobs/hDQM135-founding-electrical-engineer", "location": "San Mateo, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$170K - $200K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Go", "Python", "Linux", "Embedded Linux", "Firmware", "Prototyping", "PCB design" ] }, { "id": 99344, "title": "Founding RF Engineer", "url": "https://www.ycombinator.com/companies/nine-fives/jobs/dkS9aeZ-founding-rf-engineer", "location": "San Mateo, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$170K - $200K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Git", "Go", "MATLAB", "Python", "Embedded Linux", "Firmware", "PCB design", "FPGAs", "Altium" ] } ], "news": [], "launches": [ { "id": 101602, "title": "Nine Fives - Simple, Networked, Driverless RF Test Equipment", "tagline": "Test hardware for companies that can’t wait for their test equipment to catch up.", "body": "**TL;DR: Nine Fives makes test equipment for manufacturers of radio devices in cellphones, drones, or satellites.**\n\n[https://www.youtube.com/watch?v=7vtMt6-0SvY](https://www.youtube.com/watch?v=7vtMt6-0SvY%3C/video%3E)\n\n**Problem:** You are a hardware engineer holding up a billion dollar satellite constellation or slipping a cellphone release date because the legacy test equipment in your production line was designed around the January 1997 revision of the USB Human Interface Device specification and the firmware hasn’t been updated since then.\n\nYour AI agent is blissfully unaware of how this thing works because the “documentation” is hidden in a PDF on a password protected FTP server. After the legacy vendor left your email on read for a week they gave you access and sent you a [VB.NET](http://VB.NET) script that they think should work. You ran it and now all 8 of that vendor’s devices in your rack have tried to enumerate as “COM11” in device manager. Now you have 8 broken pieces of equipment instead of just 1!\n\n**Solution:** We’re Noah Levy and Andrew Kurtz and we are building Nine Fives. Together we have spent a decade at SpaceX designing radio frequency hardware and test systems for multi-million dollar products. Our equipment is driverless, touchscreen enabled, and uses a single, machine-readable, API with both REST and SCPI endpoints.\n\nEvery module we build works as a standalone product, but if you use our rack-mountable data and power backplane then you can take advantage of our NineVue web-app for generating easy-to-maintain, machine-readable rack configuration and our [skill.md](http://skill.md) so that your AI agent can finally understand your test system and write your test software. \n\n**Get off the critical path and reduce your production readiness timeline from months to minutes.**\n\n![uploaded image](/media/?type=post&id=101602&key=user_uploads/2413649/0e5ea814-ed4c-4e37-be4c-2ea0f93f59a5)\n\n", "url": "https://www.ycombinator.com/launches/QQk-nine-fives-simple-networked-driverless-rf-test-equipment", "votes": 12, "created_at": "2026-05-21T02:28:09.859Z" } ] }, { "id": 31369, "name": "InLoop Robotics", "slug": "inloop-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/32f586c0db7df7371426565793ae565ba0423774.png", "website": "https://inloop-robotics.com/", "all_locations": "BY, Germany", "long_description": "We are building AI-native fulfillment powered by robotics.\r\nWarehouses without human labor that get better, faster, and cheaper with every order.\r\n\r\nMost robotics companies wait until their system is perfect before deploying. We don't. We ship imperfect policies into real warehouses, detect failures in real time, recover automatically when we can, and bring in a remote human operator when we can't.\r\n\r\nEvery failure becomes training data. Every intervention makes the system better. The result is a fulfillment system that continuously learns from production.", "one_liner": "Robotic arms that pick and pack your orders.", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1774801488, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/inloop-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/inloop-robotics.json", "year_founded": 2026, "city": null, "country": "DE", "linkedin_url": "https://www.linkedin.com/company/inlooprobotics", "x_url": "https://x.com/InLoopRobotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/32f586c0db7df7371426565793ae565ba0423774.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": 2674432, "full_name": "Zakariea Sharfeddine", "title": "Founder/CEO", "founder_bio": "Building the future of embodied AI with an ML background at Bosch and BMW.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zakariea-sharfeddine", "x_url": "https://x.com/Zakariea_sh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ea8ba4ccb057236c1cfeb16157bee2771deadf30.jpg" }, { "user_id": 3333534, "full_name": "Stepan Feduniak", "title": "Founder/CTO", "founder_bio": "Did robot learning research at KIT and TUM at 18 on VLA models and reinforcement learning. Previously: olympiad mathematics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stepan-feduniak-b33045276/", "x_url": "https://x.com/FeduniakS", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fd70a752260339c439db7e420391781ff0c980b8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101547, "title": "InLoop Robotics - Staff your warehouse with robots today", "tagline": "We deploy robotic employees that pack, kit, and fulfill - billed monthly, no capex.", "body": "**TL;DR**\n\n**InLoop deploys robot employees you can hire by the month.** Our intelligent robotic arms pack, kit, and fulfill in warehouses, fulfillment centers, and factories. **We handle everything** else. Paid pilots **live in customer warehouses today**: **300+ picks/hour, generalizing across hundreds of SKUs**, **replacing** $100k+ integration projects per station.\\\n\\\n**_Ask:_** If you run ops at a warehouse, fulfillment center, or factory - what's the one repetitive task you wish a robot could just _do_ tomorrow? Tell us. We'll show you how: [https://www.inloop-robotics.com](https://www.inloop-robotics.com/)\n\nOur launch video:\\\n\\\n\\\n**Problem**\n\n**Repetitive manual work in warehouses is the most expensive labor problem nobody has solved.**\n\n* Ops leaders hire more than they operate: Warehouse turnover runs \\~49% annually and exceeds 100% at peak-volume sites; peak season can't be staffed at any price.\n* Existing automation breaks the moment your catalog shifts: traditional systems cost $200k–$1M+ upfront and lock you to a single set of SKUs\n* The math doesn't work: ops leaders spend more time hiring than running the line, and most fulfillment still runs on humans doing the same six motions, 8 hours a day\n* AI hasn't reached the physical world yet: software ate every digital workflow; the warehouse floor is still humans + conveyor belts\n\n**Solution**\n\n**You pick a task - packing, kitting, induction, palletizing. We deploy a robotic arm trained on it within weeks. It learns continuously. You pay a flat monthly fee.**\n\n* **One policy handles thousands of SKUs.**\n* **Human-in-the-loop teleop:** when the robot hits an edge case, a remote operator takes over control and your line never stops\n* **Adapting to individual requirements: Quality, Speed and Reliability**\n* **Zero capex, zero integration risk:** we ship it, run it, retrain it. Scale up or down with demand\n\n ![uploaded image](/media/?type=post&id=101547&key=user_uploads/2650485/6ce2b445-5f6a-4371-876c-e1251a0d4caa)\n\n \\\n **This is the team building the next great robotics company.** Customers, investors, future teammates - if you want to be in, let's talk. → **join the Loop!**", "url": "https://www.ycombinator.com/launches/QPr-inloop-robotics-staff-your-warehouse-with-robots-today", "votes": 9, "created_at": "2026-05-19T14:27:33.732Z" } ] }, { "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": 31399, "name": "Madrone", "slug": "madrone", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1e3bc19e9055d8345250c7f097d06dc514f21674.png", "website": "https://madrone.cool/", "all_locations": "San Francisco, CA, USA", "long_description": "Madrone builds cooling systems for data centers. In Texas, where most new sites are, Madrone can cool using 30% less power and water, thanks to novel dew-point cooling technology. ", "one_liner": "Hyper-efficient coolers for data centers", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1778520435, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "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/madrone", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/madrone.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/madrone-labs/", "x_url": "https://x.com/madronelabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1e3bc19e9055d8345250c7f097d06dc514f21674.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f23192662de78c6755d9ba2266dc5baa90714e50.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2118032, "full_name": "Akshay Trikha", "title": "Founder/CEO", "founder_bio": "Founder/CEO at Madrone, where I'm making data center cooling more efficient. Prev. trained models with millions of inferences at QuantumScape, and to predict material properties at Berkeley.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/akshay-trikha/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fae3e8340071c5ca8b3e7d8b2e79afceaf91af14.jpg" }, { "user_id": 3203409, "full_name": "Erik Meike", "title": "Founder/CTO", "founder_bio": "Founder at Madrone (YC P26). Previously Hardware Development Engineer at Apple, working on iPhone wireless power technologies across multiple years. Started career with early-stage hardware/robotics experience at JITx (automated PCB design) and PRENAV (autonomous quadcopter monitoring). Harvey Mudd Engineering.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/erikmeike/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/debd70cbe130494ba1ef7530ef78820d6aa757cc.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101247, "title": "Madrone - chiller-less cooling for desert data centers", "tagline": "Madrone builds efficient cooling without installing a chiller, saving tens of millions of dollars per facility.", "body": "Hey everyone!\n\nWe’re [Akshay](https://www.linkedin.com/in/akshay-trikha/) and [Erik](https://www.linkedin.com/in/erikmeike/), the founders of [Madrone](https://madrone.cool).\n\n![uploaded image](/media/?type=post&id=101247&key=user_uploads/2118032/aef61dad-d700-4244-bc3a-096c61aaba81)\n\n**TLDR;** Giant data centers are being built in the desert and need better cooling. Madrone builds modular cooling systems that chill water to the dew point, slashing power usage and deploying fast.\n\n**Problems**\n\n* Data centers are limited by power availability, not chips or land\n* Up to 30% of facility power is diverted to cooling instead of GPUs\n* Data centers are being built in the desert, where cooling is hard\n* Grid permits are backlogged for years (efficient cooling unlocks more compute)\n\n**Our Solution**\n\nWe’re building a facility water cooling system that cools to the dew point (lower than competitors) while using less power and water. Our system is modular and designed to be fabricated and installed as quickly as possible to accelerate our customers' time to deployment.\n\nEvery 1% of cooling efficiency = $2.6 million more GPU revenue / 100 MW / year. That means Madrone’s cooling efficiency saves $78 million / 100 MW / year.\n\nHere’s our 1kW prototype:\n\n![uploaded image](/media/?type=post&id=101247&key=user_uploads/2118032/bd66a088-4246-438d-ac59-570015655e80)\n\nHere’s us building our 100kW prototype:\n\n![uploaded image](/media/?type=post&id=101247&key=user_uploads/2118032/9d94b343-6f27-4b97-ab66-bd5345fb2581)\n\n**We’re full stack**\n\nWe design everything from the electronics, to the heat exchangers, to the software in-house to squeeze every watt of performance. Erik spent 4 years at Apple designing power & thermal systems for the iPhone. Akshay built ML systems running 1M+ inferences/month at QuantumScape.\n\n![uploaded image](/media/?type=post&id=101247&key=user_uploads/2118032/39751a33-4b7a-4726-9c37-00d2f6d2b410)\n\n**Ask:** If you're building data centers, we'd love to work with you. \n\n**Contact:** [hello@madrone.](mailto:hello@madrone.dev)cool", "url": "https://www.ycombinator.com/launches/QL1-madrone-chiller-less-cooling-for-desert-data-centers", "votes": 27, "created_at": "2026-05-12T15:57:02.621Z" } ] }, { "id": 31400, "name": "shotwell.ai", "slug": "shotwellai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/31e129a3b1f344b0b01705a950c37b68af60a957.png", "website": "http://shotwell.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Shotwell AI is building the data QA layer for dexterous robotics. We work with teams collecting teleoperation and egocentric data to provide dense semantic annotation and validate task adherence. This lets teams compress feedback loops from weeks to hours and iterate on models much faster.", "one_liner": "Annotations for robotics data", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1780340127, "tags": [], "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/shotwellai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/shotwellai.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/shotwell-ai", "x_url": "https://x.com/ShotwellSt", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/31e129a3b1f344b0b01705a950c37b68af60a957.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 1249194, "full_name": "Farhan Khan", "title": "Founder/CEO", "founder_bio": "Previously worked on humanoid robots at Sunday Robotics and self-driving cars at Tesla", "is_active": true, "linkedin_url": "https://linkedin.com/in/fkhan0520", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f2d1ea27b54f3adb7693664f3a1426030c46f19d.jpg" }, { "user_id": 324918, "full_name": "Ali Abdalla", "title": "Founder", "founder_bio": "Previously: co-founded Gradio which was acquired by Hugging Face and used by >1M developers a day, Tesla, MIT. ", "is_active": true, "linkedin_url": "http://linkedin.com/in/aliabd", "x_url": "https://x.com/si3luwa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2a3f6c0503be91b9c0710284ea7c10fe29d97ab9.jpg" }, { "user_id": 324948, "full_name": "Ali Abid", "title": "Founder/CTO", "founder_bio": "Previously found Gradio (acq. by HuggingFace)\nNow interested in robotics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aabid94/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/af052e6fb3142dcd4cff1ce1eec43bb8e4a3861d.jpg" }, { "user_id": 1374486, "full_name": "Nour Eldifrawy", "title": "Founder", "founder_bio": "Currently working on unlocking robotics teams. \nFormerly @ Merge.dev, Roblox, Tarjimly (yc w18)\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/noureldifrawy", "x_url": "https://x.com/neldien_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/780009444788c8eb9e06c878df184c0d04add76d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31415, "name": "Synphony", "slug": "synphony", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/53a6cd89169bae47c2b36df57db7197b466fab96.png", "website": "https://www.synphony.co/", "all_locations": "San Francisco, CA, USA", "long_description": "Strawberry farming is a $3B industry in California alone with 60% labor cost using 40-year old software. Synphony provides strawberry picking robots and software services including: bed-level analytics, data pipeline integration, and agentic solutions.\r\n\r\nSynphony's \"side hustle\" is selling data, evals, and viral demos to robot foundation labs while building capacity for general robot deployments. We've started with strawberry farming for great margins and outdoor data moat, but also received requests for robots in semi-conductors and autonomous space labs. \r\n\r\nSynphony's team has won over 15 hackathons together (taking home 4 Jensen-signed GPUs!). Sean did ML research at NVIDIA and led AI products used by IRS and Citibank. Lucas' research spanned robotics, IoT devices, and neuromorphic computing. Alex architected an app with 400k users. ", "one_liner": "robots & software for farms", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1778272380, "tags": [], "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/synphony", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/synphony.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/109990424", "x_url": "https://x.com/im_sean_wu", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/53a6cd89169bae47c2b36df57db7197b466fab96.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 2518723, "full_name": "Sean Wu", "title": "Founder/CEO", "founder_bio": "prev. NVIDIA AI & Stanford Bio Research\nvisited 25 countries, wrestled for 7 years, saved 3 lives, and won 5 hackathons\nlet's talk! https://calendly.com/sean-synphony/week-of-6-15-synphony-yc-26-fundraising-chat", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/seanwu2027/", "x_url": "https://x.com/im_sean_wu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4cb4e5dc190e3631bb87ea9d34a311aef8182664.jpg" }, { "user_id": 2385109, "full_name": "Lucas Amlicke", "title": "Founder/CTO", "founder_bio": "Pursued research in neuromorphic computing, Human AI system optimization, and IoT cybersecurity during my undergrad at Santa Clara University for computer science and engineering. \nI always want to be on the cutting edge of technology so I can push the envelope of what is feasible. I like putting the latest tools to the test for improving my efficiency.\nCurrently I'm focused on leveling up physical intelligence to make robots into co-workers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucas-amlicke/", "x_url": "https://x.com/lukeamlicke", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bb82fd000c915a8d8b0fabed99d06c21bb023a7c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101718, "title": "Synphony - Automating Agriculture With Robots", "tagline": "Deploying Robots to Strawberries & Beyond", "body": "We're building robots that pick strawberries.\n\nCalifornia strawberries are a $3B industry. \\~60% of that is labor cost — and that cost keeps climbing while the workforce shrinks. Growers are losing harvests they can't afford to pick. We’re working with California’s largest strawberry producers to solve this problem.\n\nWe send robots into the field to pick the fruit. Lower cost per pound, higher yield per acre, and software that finally replaces tools the industry has been running on for 40 years.\n\nRobots just hit the crossover point with field labor. Strawberries are the wedge. Berries are $15B. Every other outdoor task — row crops, manufacturing lines, defense, anywhere robots have to actually show up and work — runs on the same deployment layer.\n\nSynphony (YC W26). If you grow berries, invest in robotics, or want to build robots that do real work outdoors, let's talk.\n\n\n\n![uploaded image](/media/?type=post&id=101718&key=user_uploads/2518723/cdf4be8c-95d2-4a9d-b99c-922620648838)\n\n", "url": "https://www.ycombinator.com/launches/QSc-synphony-automating-agriculture-with-robots", "votes": 11, "created_at": "2026-05-21T18:47:32.397Z" } ] }, { "id": 31419, "name": "StableBrowse", "slug": "stablebrowse", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed9bc479aa95e772450f53b3ce34a581c2a1e4b7.png", "website": "https://stablebrowse.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Building the Data Infrastructure layer for Physical AI. ", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1774843315, "tags": [ "Robotics", "AI" ], "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/stablebrowse", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/stablebrowse.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/stablebrowse/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed9bc479aa95e772450f53b3ce34a581c2a1e4b7.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": 1022491, "full_name": "Deepit Shah", "title": "Founder/CEO", "founder_bio": "Founder @ StableBrowse | Ex-Amazon | UIUC - CS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/deepit-shah/", "x_url": "https://x.com/deepitshah5", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f33bf28206493d6e6f6096a4ba197395c3295386.jpg" }, { "user_id": 1788727, "full_name": "Jay Mehta", "title": "Founder/CTO", "founder_bio": "StableBrowse | Ex-Amazon | Purdue CS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jaymehta003", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b4f29d89bb0329510b299a3749a8a2b49b50e88.jpg" }, { "user_id": 1853933, "full_name": "Somansh Shah", "title": "Founder/COO", "founder_bio": "buildling @StableBrowse | Ex-Amazon | Ex-Founding Eng", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/somanshshah", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/840cfefca7cfc1389c83e7ce0658b8c0588e1087.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101987, "title": "StableBrowse - Browser Layer For AI Agents", "tagline": "We enable agents to navigate the web with 70% fewer tokens and 4x faster execution.", "body": "**TL;DR**: StableBrowse is the browser layer for AI agents. We transform dynamic websites into structured knowledge graphs that capture how sites truly work, giving agents persistent memory to complete tasks reliably without starting from scratch every time.\n\n**Ask**: If you’re building agents that browse the web, scrape data, fill forms, monitor prices, or work inside authenticated portals, we’d love to talk! Reach us at [team@stablebrowse.ai](mailto:team@stablebrowse.ai) or schedule a demo at [stablebrowse.com](http://stablebrowse.com).\n\n\n\n**Problem**: AI agents are increasingly being used for real web workflows like tracking competitor pricing, applying for loans, updating CRM records, booking travel, submitting expense reports, and navigating legacy enterprise systems.\n\nMost browser agents still treat every interaction like it’s the first time, repeatedly asking an LLM what to click next. This works in demos, but breaks in production because websites constantly change through:\n\n* Pop-ups and modal interruptions\n* Login and authentication flows\n* Slow-loading dropdowns and forms\n* Layout and UI updates\n* Dynamic page behavior\n\nAs a result, agents become unreliable, expensive to run, and difficult to scale across real-world workflows.\n\n**Solution**: StableBrowse gives AI agents persistent memory of how websites actually work by converting websites into structured execution graphs. Instead of rediscovering workflows every run, StableBrowse learns websites once and reuses that knowledge across future executions.\n\nWe convert pages into structured states, turn buttons and forms into reliable actions, extract clean structured data instead of raw HTML, and detect when websites change to keep workflows reliable over time.\n\nAt runtime, StableBrowse handles:\n\n* Navigating known workflows\n* Filling forms and completing submissions\n* Extracting clean, structured data\n* Handling date pickers and dropdowns\n* Detecting when websites change\n* Returning usable outputs instead of raw HTML\n\nThis allows the LLM to focus on user intent instead of fragile browser interactions. The results are dramatic: 70–80% lower token usage, 3–4× faster workflows, and up to 98% success rate.\n\n![uploaded image](/media/?type=post&id=101987&key=user_uploads/1853933/3903c45b-f3a3-4e2d-84dd-f2bb28a9eaf2)\n\n\\\n**Background**: We started StableBrowse after running into these same frustrations ourselves while building browser agents. Our team brings experience from Amazon (agentic commerce), AWS EC2 Nitro, applied AI research, and multiple fast-growing startups.\n\n![uploaded image](/media/?type=post&id=101987&key=user_uploads/1853933/6d012d9d-28ba-49a0-98f2-bcc1e03b979d)\n\n", "url": "https://www.ycombinator.com/launches/QWx-stablebrowse-browser-layer-for-ai-agents", "votes": 37, "created_at": "2026-05-26T19:48:52.452Z" } ] }, { "id": 31436, "name": "Prototyping.io", "slug": "prototypingio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f7df040bbed273d21312d9b7e349583e363f5e4.png", "website": "https://www.prototyping.io", "all_locations": "San Francisco, CA, USA", "long_description": "Prototyping.io turns CAD designs into real mechanical parts through an AI-driven manufacturing system. We analyze designs for manufacturability and automate production workflows to deliver high-quality parts faster and at lower cost.\r\n", "one_liner": "Autonomous manufacturing for mechanical parts", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1774425608, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Acquired", "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/prototypingio", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/prototypingio.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/prototyping-io", "x_url": "https://x.com/prototyping_io", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f7df040bbed273d21312d9b7e349583e363f5e4.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": 3328377, "full_name": "Revanth Bodepudi", "title": "Founder/CEO", "founder_bio": "Founder & CEO at Prototyping.io\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/revanth279/", "x_url": "https://x.com/revanth279", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6262443f88c0ccefeb0412b20e0754186b3006a4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100912, "title": "Prototyping.io - Autonomous Manufacturing for Mechanical Parts", "tagline": "AI-driven manufacturing system that turns CAD designs into high-quality mechanical parts as fast as one day", "body": "# \n\n**TL;DR**\\\n[Prototyping.io](http://Prototyping.io) is rebuilding the design-to-manufacturing workflow from the ground up with an AI-driven approach, automating the path from CAD design to production at scale.\n\n\n\n**The Problem**\\\nOver $1T is spent annually on mechanical part manufacturing, yet the process remains largely manual.\n\nGetting parts made still takes weeks, often with high costs and inconsistent quality. Manufacturers spend days on DFM, sourcing, programming, and setup planning before production even starts. These delays slow hardware companies down and stretch product iteration cycles.\n\nBuilding locally is still expensive, largely due to fragmented operations and low machine utilization. Many companies look offshore for lower pricing, but shipping timelines, tariffs, and supply chain delays often slow product development even further.\n\n**What We’re Building**\n\n[Prototyping.io](http://Prototyping.io) is building autonomous manufacturing for mechanical parts by automating the workflow between CAD designs and finished parts.\n\nThe workflow today looks like:\n\nCAD → DFM → Planning → Sourcing → Programming → Setups → Manufacturing Execution\n\nThis workflow is being rebuilt with AI-native systems and physical AI models for manufacturing.\n\nOur approach combines AI-driven manufacturing intelligence, workflow automation, and eventually autonomous execution through industrial robotics and highly automated production systems. The goal is to dramatically reduce lead times, improve quality consistency, and enable more efficient manufacturing at scale.\n\n**What We’re Seeing**\n\nDemand for faster and more reliable manufacturing is growing across robotics, AI infrastructure, energy, automotive, defense, and other industries.\n\nWe’re already helping companies ranging from early-stage startups to multi-billion dollar enterprises reduce hardware iteration cycles from weeks to days by delivering high-quality parts for prototyping and early production.\n\n**If This Resonates**\n\nIf you’re building hardware and want to move faster, we’d love to work with you.\n\nIf you’re interested in robotics, physical AI, manufacturing automation, or autonomous manufacturing and want to join the [Prototyping.io](http://Prototyping.io) team, we’d love to talk.", "url": "https://www.ycombinator.com/launches/QFc-prototyping-io-autonomous-manufacturing-for-mechanical-parts", "votes": 16, "created_at": "2026-05-07T14:20:20.316Z" } ] }, { "id": 31442, "name": "AICE", "slug": "aice", "former_names": [ "AICE Power" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/581bc66ce17e1873b4f5c5446cc221ea8275a118.png", "website": "https://aicepower.com", "all_locations": "Paris, Île-de-France, France", "long_description": "We are building the next generation of underwater defense systems: autonomous swarms of modular marine drones to secure naval assets and coastal infrastructure against evolving underwater threats.", "one_liner": "Submarine drones for defense", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1775067317, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Defense" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/aice", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/aice.json", "year_founded": 2026, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/aice-power/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/581bc66ce17e1873b4f5c5446cc221ea8275a118.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/efc19e968b4aac30b338d3299405049ca797e33f.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 3424825, "full_name": "Gregoire Chomette", "title": "Founder/CEO", "founder_bio": "Building the future of underwater warfare.\nPreviously @ NASA working on asteroid threats. MIT AeroAstro MSc. (2021)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gregoirechomette/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/64481f5712beabd95b9fc5a5eed33808aaa81a57.jpg" }, { "user_id": 2324173, "full_name": "Rémi Bouteiller", "title": "Founder/CTO", "founder_bio": "Building the future of underwater warfare.\nEuropean Robotic Champion with RCVA", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/remi-bouteiller/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7207bf5a90a6813a21d843f02fb8d4f0a70d63b0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102410, "title": "AICE Power - Underwater drones for defense", "tagline": "Modular subsea drone swarms for defense", "body": "Hey everyone,\n\n**TLDR**: we are building a new generation of UUVs (Unmanned Underwater Vehicle) for defense of critical maritime infrastructure.\n\nThe evolution of modern battlefields shows the same pattern everywhere: highly expensive military systems are increasingly being challenged by agile, low-cost technologies produced at scale.\n\nIn Ukraine, cheap aerial drones have transformed warfare and forced entire defense doctrines to adapt. We think the same shift is about to happen underwater, and are obsessed with the question of what the “drone moment” for underwater warfare would look like.\n\nSo we started speaking with submariners, naval operators, ex-commandos, and defense engineers. The demand signal was much stronger than we expected, and the common need is always the same: **cost-effective** and highly **modular** underwater **vehicles** acting in **swarms** that can **adapt quickly** to operational requirements (speed, range, sonar equipment, payloads, etc.). Today, very few solutions exist.\n\nA couple of days after deciding to pivot, we wanted to move as fast as possible and get something real in the water before Demo Day. So we built our **first modular prototype within a week**. It already integrates the main subsystems and was designed to evolve quickly based on operator feedback and mission requirements. Here is a photo:\n\n![uploaded image](/media/?type=post&id=102410&key=user_uploads/3424825/4d4a7af2-8dcc-4dac-9ddd-037f9606cdba)\n\n**Our ask:**\n\nWould love to connect with people across the defense ecosystem - especially naval operators, submariners, maritime special operations, and teams working on subsea robotics, maritime autonomy, or distributed naval warfare across Europe, NATO, and allied countries.", "url": "https://www.ycombinator.com/launches/Qdm-aice-power-underwater-drones-for-defense", "votes": 11, "created_at": "2026-06-02T13:13:02.084Z" } ] }, { "id": 31452, "name": "Degla Inc", "slug": "degla-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9b4aa40c1f823de9d3ec9a6c4b04e1e382dc5a85.png", "website": "https://degla.ai", "all_locations": "Boston, MA, USA", "long_description": "We turn natural Language into Multi-Drone Mission execution. Degla is built around a simple idea: once you’ve expressed your intent, the system owns the problem.You don’t babysit drones. You don’t micromanage failures. You don’t rewrite plans. You state the goal, Degla figures out how.", "one_liner": "The fully autonomous intelligence layer in the sky.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Drones", "launched_at": 1775570807, "tags": [ "Hard Tech", "Drones", "Aerospace", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Drones" ], "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/degla-inc", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/degla-inc.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/9b4aa40c1f823de9d3ec9a6c4b04e1e382dc5a85.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": 1869155, "full_name": "Aziz Hanafi", "title": "Founder/CEO", "founder_bio": "Founder & CEO @ www.degla.ai", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aziz-hanafi-496a67164/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/694f8d7fb1702740e4b2b65e919a3b60b595f4bb.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31456, "name": "General Instinct", "slug": "general-instinct", "former_names": [ "Bitstream" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e506831e9805799a19c0fa94ac85f0578ee4374e.png", "website": "https://general-instinct.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Making robot post-training and deployment scalable.", "one_liner": "Deployment infrastructure for Physical AI", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1779088548, "tags": [ "Robotics", "AI" ], "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", "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/general-instinct", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/general-instinct.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/general-instinct/", "x_url": "https://x.com/gen_Instinct", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e506831e9805799a19c0fa94ac85f0578ee4374e.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": 2022270, "full_name": "Bill Jiao", "title": "Founder/CEO", "founder_bio": "worked on Siemens' first multimodal foundation model, secured 2 patents on tardigrade proteins as a junior in high school, now building edge intelligence for physical AI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zhandong-jiao", "x_url": "https://x.com/BillJiao930", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/524ded9c0f2c5c51662b75aa35a6b47d0230b153.jpg" }, { "user_id": 2697564, "full_name": "Guanming Wang", "title": "Founder/CTO", "founder_bio": "Ex Google DeepMind reinforcement learning researcher with robotics research published at ICRA at age 17. Previously conducted robotics research at UCL robotics institute and Tsinghua University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/guanming-wang", "x_url": "https://x.com/Guanming717", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/229264e545e631dc6b28622345796c47929eedd6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101508, "title": "General Instinct - The deployment layer for physical intelligence", "tagline": "Deploy frontier AI models onto constrained edge hardware for robots, drones, and physical AI systems.", "body": "# \\*\\*\\*\\*\n\n**TL;DR**: General Instinct distill, quantize, and deploy large frontier AI onto limited hardware on drones, old PCs, and robots.\n\n![uploaded image](/media/?type=post&id=101508&key=user_uploads/2022270/81b34033-67b0-41d9-9f7a-563ed2884da3)\n\n**Problem**:\n\nPhysical AI (robots, drones, IoT) teams can now get frontier models to do impressive things in the lab. The hard part is getting those models to work reliably in production.\n\nSome common patterns:\n\n1\\. Models works well in the cloud, but fails on edge in production.\n\n2\\. Custom use-cases like robots operating in the wild or in space requires on device inference.\n\n3\\. Using Gemini for everything is simply too expensive.\n\nWe built a custom, no code pipeline to solve this problem.\n\n**What we’re building:**\n\nOur first product: **Instinct Edge**. Give us a model, a target device, and a latency budget. We return an offline runtime that hits the budget on hardware like Jetson, mobile NPUs, ARM CPUs, Apple Neural Engine, and Snapdragons.\n\nUnder the hood, this combines compression recipes, custom CUDA / Metal / ARM NEON kernels, and a continuous data-to-serving pipeline.\n\nOne production example: a multimodal classifier on Jetson Orin NX with 111 ms cold start, 100% of decisions inside a 150 ms budget, and zero cloud calls.\n\n**How you can help**:\n\nIf you or anyone you know are running large vision models on edge and are having problems fitting them onto your hardware, let us know by emailing [founders@general-instinct.com](mailto:founders@general-instinct.com)!\n\n", "url": "https://www.ycombinator.com/launches/QPE-general-instinct-the-deployment-layer-for-physical-intelligence", "votes": 10, "created_at": "2026-05-19T06:17:38.703Z" } ] }, { "id": 31465, "name": "Aseon Labs", "slug": "aseon-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3a7200a010691b9273e88c68a977b6ab42f7e674.png", "website": "https://www.aseonlabs.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Aseon Labs builds robotic pitstops for self-driving cars.\r\n\r\nAutonomous vehicles can drive themselves, but they still rely on humans and centralized depots for charging, cleaning and servicing multiple times per day. As fleets scale, the operational layer makes up 70% of the cost of the service and is of the largest barrier to uptime, profitability and market expansion.\r\n\r\nAseon Pods are robotic micro-depots that can be deployed directly within operating zones, bringing fleet servicing to where demand exists. By eliminating unnecessary depot trips and automating routine operations, Aseon helps autonomous fleet operators increase uptime, reduce reset cost by 50% and unlock scale.\r\n\r\nFounded by the team behind Pushme, which deployed 5,000 mobility infrastructure locations across 40 cities before its acquisition by TIER-Dott, Aseon is funded and building product in Redwood City for pilot deployment with major autonomous vehicle operators.", "one_liner": "Robotic pitstops for self-driving cars", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1778523485, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/aseon-labs", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/aseon-labs.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/aseon-labs/", "x_url": "https://x.com/aseonlabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3a7200a010691b9273e88c68a977b6ab42f7e674.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 180428, "full_name": "George Kalligeros", "title": "Founder/CEO", "founder_bio": "Cofounder & CEO @ Aseon Labs, robotic pitstops for self-driving cars.\n\nPreviously founded Pushme, building the world’s largest battery-swap network for shared e-scooters & e-bikes across 5,000 stations in 40 cities before acquisition by TIER-Dott ($600M raised). \n\nBefore Aseon, I led a 100-person team and deployed $300M+ in fleet hardware as VP Hardware @ TIER-Dott. Started my career as a mechanical engineer @ Tesla.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kalligeros", "x_url": "https://x.com/kalligeros", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1037c0ba20b91a20fd9c522975ab165f3bfe1d01.jpg" }, { "user_id": 2699748, "full_name": "Dan Keene", "title": "Founder/COO", "founder_bio": "Cofounder & COO @ Aseon Labs, robotic pitstops for self-driving cars.\n\nPreviously founded Pushme, building the world’s largest battery-swap network for shared e-scooters & e-bikes across 5,000 stations in 40 cities before acquisition by TIER-Dott ($600M raised). \n\nBefore Aseon, I was CBO @ Superduper ($4B cross-chain infra) and led 20 markets @ Deliveroo (DoorDash). Started in M&A @ Greenhill & Co. and UBS / Credit Suisse.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dancbkeene/", "x_url": "https://x.com/keenebyname", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/32403bb7de49b9384a9d2c4f77055e5a9b82f5c1.jpg" } ], "jobs": [ { "id": 94541, "title": "Senior Robotics Engineer (Full-Time)", "url": "https://www.ycombinator.com/companies/aseon-labs/jobs/kHuQykj-senior-robotics-engineer-full-time", "location": "Redwood City, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$170K - $220K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 96506, "title": "Founding Mechanical Engineer (Full-Time)", "url": "https://www.ycombinator.com/companies/aseon-labs/jobs/LQbGSh4-founding-mechanical-engineer-full-time", "location": "Redwood City, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$170K - $250K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 96507, "title": "Founding Electrical Engineer (Full-Time)", "url": "https://www.ycombinator.com/companies/aseon-labs/jobs/CmzAwOS-founding-electrical-engineer-full-time", "location": "Redwood City, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$170K - $250K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98719, "title": "Mechanical Engineering Placement (6 Months), New Grad", "url": "https://www.ycombinator.com/companies/aseon-labs/jobs/KAqkZ7W-mechanical-engineering-placement-6-months-new-grad", "location": "Redwood City, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$8K - $10K / monthly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Robotaxis drive miles just to get cleaned and charged; this new startup wants to fix that | TechCrunch", "url": "https://techcrunch.com/2026/06/26/this-silicon-valley-startup-has-raised-10m-to-build-pitstops-to-clean-and-charge-robotaxis/", "date": "Jun 26, 2026" }, { "title": "Atlanta puts robotaxi technology to the test - YouTube", "url": "https://www.youtube.com/watch?v=1697nkIVH-8", "date": "Jun 03, 2026" }, { "title": "TechCrunch Mobility", "url": "https://techcrunch.com/2026/05/17/techcrunch-mobility-the-ai-skills-arms-race-is-coming-for-automotive/#:~:text=Aseon%20Labs%2C%20a%20Redwood%20City%2C%20California%2C%20startup%20that%20has%20developed%20a%20depot%20in%20a%20box%20for%20charging%2C%20cleaning%2C%20and%20inspecting%20autonomous%20fleets%2C%20came%20out%20of%20stealth%20with%20undisclosed%20backing%20by%20Y%20Combinator.%C2%A0", "date": "May 17, 2026" }, { "title": "Can this Silicon Valley startup make autonomous fleets profitable? - Fast Company", "url": "https://www.fastcompany.com/91540540/can-this-silicon-valley-start-up-make-autonomous-fleets-profitable", "date": "May 13, 2026" }, { "title": "Welcome to Ground Truth | Introducing Aseon Labs", "url": "https://rideai.substack.com/p/welcome-to-ground-truth-introducing?utm_source=substack&publication_id=2261569&post_id=197665993&utm_medium=email&utm_content=share&utm_campaign=email-share&triggerShare=true&isFreemail=true&r=7z5ecj&triedRedirect=true", "date": "May 12, 2026" } ], "launches": [ { "id": 101210, "title": "Aseon Labs: robotic pitstops for self-driving cars", "tagline": "A depot in-a-box for charging, cleaning & inspecting autonomous fleets", "body": "**TL;DR:** Autonomous vehicles still rely on centralized, human-operated depots for daily charging, cleaning and servicing. Aseon builds robotic pitstops that let AV fleets reset directly inside the city, reducing downtime, dead miles and operating cost.\n\n\n\n## **❌ The problem**\n\nAutonomous driving is working. The operational layer around it is not.\n\nToday, autonomous vehicles regularly leave high-demand zones up to 3 times per day just to charge, clean and get inspected.\n\nMost fleets still rely on large, remote, human-operated centralized depots.\n\nThat means:\n\n* 10–15 mile roundtrips just to reset vehicles\n* vehicles out of operation for hours\n* up to 44% of vehicle time spent driving empty\n* as many as 1 in 3 vehicles unavailable during peak demand\n* reset costs that can exceed $100 per cycle\n\nFor autonomous fleets, uptime is revenue. But today’s operating model still looks like traditional depot logistics.\n\n## **✅ What we built**\n\nWe believe autonomous vehicles need autonomous operations, always available and distributed across the centre of the city.\n\nSo we built the Aseon pod: **a robotic pitstop station that bundles high-frequency depot workflows into a compact, rapidly deployable pod.**\n\nAseon Pods allow fleets to:\n\n* charge vehicles near demand\n* automatically clean interiors & exteriors\n* run inspection workflows between rides\n* access a reset within max. 2 miles of a vehicle’s location\n\nCompared to traditional depot operations, Aseon can:\n\n* reduce reset cost by up to 50%\n* reduce time out of service by up to 65%\n* increase revenue per vehicle by $50k+ per year\n\nAseon Labs is building a new category of infrastructure for autonomous fleets: robotic pitstops deployed directly where vehicles operate.\n\n![uploaded image](/media/?type=post&id=101210&key=user_uploads/180428/dacbddc1-d989-4d47-94b1-37c323826394)\n\n## **🧩 Why us**\n\nWe’re second-time founders, building together for the second time.\n\nOur previous company, Pushme, became the world’s largest battery-swap network for shared e-scooters and e-bikes, across 5,000 locations in 40 cities before being acquired by TIER-Dott ($600M raised).\n\nBefore Aseon:\n\n**George Kalligeros** led TIER’s 100-person hardware organization and deployed $300M+ in fleet hardware as VP Hardware; was a mechanical engineer at Tesla.\n\n**Dan Keene** scaled TIER energy network to 5k locations. He later served as CBO at Superduper ($4B infra). Prior to that he led 20 markets at Deliveroo (DoorDash) and worked in M&A.\n\n# **📣 Our Ask**\n\nWe’re currently building our founding team across robotics, hardware and ML.\n\nIf you know exceptional engineers working on robotics, autonomy, computer vision, hardware systems or industrial automation, we’d love an introduction.", "url": "https://www.ycombinator.com/launches/QKQ-aseon-labs-robotic-pitstops-for-self-driving-cars", "votes": 11, "created_at": "2026-05-11T20:18:54.868Z" } ] }, { "id": 31486, "name": "Ornadyne", "slug": "ornadyne", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1b22be817e9ad2d1f4b3a606e7b94d10bc6a8d6.png", "website": "https://ornadyne.com/", "all_locations": "Los Angeles, CA, USA", "long_description": "Ornadyne builds flapping-wing drones for reconnaissance that look, fly, and sound like birds.\r\n\r\nToday’s drones are easy to detect acoustically, visually, and electronically. As counter-UAS systems improve, traditional quadcopters and fixed-wing UAS systems are becoming increasingly ineffective for close-range surveillance. \r\n\r\nFlapping-wing aircraft have existed for years, but have lacked the performance, endurance, and control required for real-world deployment. We’re changing that by engineering a high-performance, stealth-optimized system built from first principles for efficiency, autonomy, and reliable field use.\r\n\r\nThe final frontier of surveillance won’t look like machines; it will look like wildlife already in the sky. \r\n\r\nMaybe birds aren't real?", "one_liner": "We're building robot birds for surveillance.", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Drones", "launched_at": 1777342640, "tags": [ "Hard Tech", "Robotics", "Drones", "Aerospace", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Drones" ], "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/ornadyne", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/ornadyne.json", "year_founded": 2026, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ornadyne/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1b22be817e9ad2d1f4b3a606e7b94d10bc6a8d6.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": 1504179, "full_name": "Geourg Kivijian", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Ornadyne. Award-winning engineer (IEEE/AIAA) recognized for pioneering work in flapping-wing robotics. Previously led coordination systems for Mars Sample Return at NASA's Jet Propulsion Laboratory and lunar rovers at Astrolab. Now scaling Ornadyne to bring bio-inspired stealth and efficiency to the next generation of flight. www.geourgkivijian.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/geourg-kivijian/", "x_url": "https://x.com/geourgkivijian", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e337453d3b319353220202f1fe100ab8ce774327.jpg" }, { "user_id": 3374971, "full_name": "Armen Arakelyan", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Ornadyne, building autonomous flapping-wing aircraft. Previously a Starship components engineer at SpaceX. Before that, I led machining at USC Rocket Propulsion Laboratory at the University of Southern California, helping the team set the amateur rocketry altitude world record at 144 km.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/armen-arakelyan-171b71219/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2145da603ff13a23eff254476a2594ae5eed387b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100617, "title": "Ornadyne - Robot Birds for Reconnaissance", "tagline": "Autonomous bird-like drones for military reconnaissance.", "body": "**TL;DR:** Ornadyne is building robot birds for surveillance: drones with cameras for the military that look, fly, and sound like real birds**🦅**\n\n### The Problem(s):\n\nTraditional drones have two main problems:\n\n1. Propellers are **loud**\n2. They don’t blend in; they’re **visually obvious**\n\nThis makes traditional fixed-wing and quadcopter drones extremely detectable, and inadvertently easy to shoot down and run away from.\n\n\n\n---\n\nThis isn’t new. The U.S. used to lead flapping-wing flight, but **today, Europe and China are far ahead. Ornadyne is bringing the U.S. back into the lead.**\n\nWe're building autonomous ornithopters with hour-class flight times, low acoustic signatures, and natural bird-like flight. This makes Ornadyne's drones harder for humans and counter-UAS systems to detect, classify, and target.\n\n![uploaded image](/media/?type=post&id=100617&key=user_uploads/1504179/a361939c-74a4-427b-a2ef-a96f6cdc2884)\n\n---\n\n### The Founders:\n\n**Geourg’s** Master's thesis is built on 2+ years of research and development in flapping-wing drones. His work has received multiple awards through AIAA and IEEE conference publications. He is ex- NASA JPL, and ex-Astrolab, where he worked on Mars and lunar missions.\n\n**Armen** engineered Starship components at SpaceX and previously led machining at USC Rocket Propulsion Laboratory, helping the team set the amateur rocketry altitude world record at 144 km.\n\nBoth founders have been best friends since middle school.\n\n![uploaded image](/media/?type=post&id=100617&key=user_uploads/1504179/60143f25-5da7-45dd-93a0-0be77f9c5b45)\n\n### Ask:\n\nIf you work in defense tech or are building in the space, we’d love to connect. Introductions to anyone who might be interested in working with us would be much appreciated.", "url": "https://www.ycombinator.com/launches/QAr-ornadyne-robot-birds-for-reconnaissance", "votes": 30, "created_at": "2026-05-01T00:54:15.289Z" } ] }, { "id": 31489, "name": "Eden Robotics", "slug": "eden-robotics", "former_names": [ "Eden Robotics Inc.", "Eden" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d14a9f773f254e36c45b6a27e9f082f69047340.png", "website": "https://www.edenrobotics.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We're building robots that just work and use them to deliver autonomous services at scale. Our first use case is semi-humanoid robots for manufacturing and logistics. Unlike traditional robotics companies, we don't sell robots, we provide physical agents for hire where companies pay for the robots based on usage, decreasing the barrier to entry and expanding the robotics market as a whole.", "one_liner": "Autonomous services for humanity.", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1775447037, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "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/eden-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/eden-robotics.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/6d14a9f773f254e36c45b6a27e9f082f69047340.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": 1956825, "full_name": "Stamatios Floratos", "title": "Founder/CEO", "founder_bio": "Founder of Eden. We are making robots that just work and using them to provide autonomous services at scale. I also bootstrapped a 7-figure B2B Adtech company at 13, working with influencers before it was cool.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stamatis-floratos-535b19244", "x_url": "https://x.com/StamatisTWIY", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c9d08f20fda0c945e553546a63c8d2b461647710.jpg" }, { "user_id": 2772947, "full_name": "Joseph Humphreys", "title": "Founder/CTO", "founder_bio": "PhD in robotics, published in Nature, worked on almost all robot morphologies, used to build on rocket engines.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joseph-humphreys-1163b8150", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/113ef53dca8ae694be0e7a6d5d1d34200f2bdf98.jpg" } ], "jobs": [ { "id": 91495, "title": "Founding Communications Engineer", "url": "https://www.ycombinator.com/companies/eden-robotics/jobs/o06KKgL-founding-communications-engineer", "location": "San Francisco, CA, US / London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$65K - $120K", "equity_range": "0.25% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "C++", "TCP/IP", "Distributed Systems", "Packaging" ] } ], "news": [], "launches": [ { "id": 102020, "title": "Eden - Autonomous Services for Humanity", "tagline": "Autonomous robot employees.", "body": "We’re [Stamatios Floratos](https://www.linkedin.com/in/stamatis-floratos-535b19244) and [Joseph Humphreys](https://www.linkedin.com/in/joseph-humphreys-1163b8150) and we’d love to introduce you to [Eden](https://www.edenrobotics.ai/).\n\n**TL;DR**\n\nMajor labor shortages and the high cost of traditional automation make manufacturers and logistics companies hard and costly to operate efficiently. We provide plug-and-play robots as a service, working out of the box with no complex integration and charging based on hourly usage instead of large upfront setup costs.\n\n\n\n**Problem**\n\nThe world is facing a massive shortage of manual labour. It is hard to recruit and retain workers for factories and warehouses and even harder to scale. Traditional automation requires floor plan reworks, onsite engineers, high setup costs and takes 6-12 months to fully deploy. Most companies simply cannot stop their operations for this long and incur such high costs to implement automation and so are stuck in a perpetual vicious cycle of hiring short-term and scarce human labour.\n\n**Solution**\n\nWe are building robots that can be deployed instantly and work out of the box without any interruption in operations. They are semi-humanoid, which means they can fill positions designed for humans and can reliably perform any task which would take you less than 5-mins to explain to a new worker.\n\n\n\n**How we got here**\n\nWe care deeply about creating delightful customer experiences, and currently the robotics industry is anything but delightful. We think robotics have the power to transform the world and yet they consistently fall short of that promise due to an overemphasis on research and general capability over the customer. We decided to take a different approach and start by building the critical infrastructure that supports real world deployments, with real customers and work insanely hard to make robots ubiquitous and seamlessly woven into daily life.\n\n**The Ask**\n\nWe’re looking to speak to founders who’re building software or digital agents for factories, 3PL and warehouses to learn more about what they care about and look into potential integrations with our robot workers.\n\nReach out to us either on Bookface or through [founders@edenrobotics.ai](mailto:founders@edenrobotics.ai)\n\n![uploaded image](/media/?type=post&id=102020&key=user_uploads/1956825/84f4e974-9e78-47f9-9808-485cc7778005)\n\n", "url": "https://www.ycombinator.com/launches/QXU-eden-autonomous-services-for-humanity", "votes": 12, "created_at": "2026-05-27T14:20:14.932Z" } ] }, { "id": 31501, "name": "General Aviation", "slug": "general-aviation", "former_names": [ "Fastsky" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0ea954602807b3490b23ce9d1c2e1a7490777284.png", "website": "https://generalaviation.com", "all_locations": "New York City, NY, USA", "long_description": "Building the elements of a new ATC system.", "one_liner": "Fixing air traffic control with remote towers", "team_size": 0, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1778742722, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "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": null, "url": "https://www.ycombinator.com/companies/general-aviation", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/general-aviation.json", "year_founded": 2026, "city": "New York City", "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/0ea954602807b3490b23ce9d1c2e1a7490777284.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 3468328, "full_name": "Ben Frank", "title": "Founder/CEO", "founder_bio": "Founder at General Aviation. Previously started two aviation software companies: Rotabull and Seer Aerospace (acquired by Aviation Week). Also, previously at Rotor Technologies, which built autonomous helicopters. Flies and fixes planes.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/benjaminsfrank", "x_url": "https://x.com/benjaminsfrank", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/014a894e52ebaeb112d0738c225801391953d476.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31503, "name": "Apollo Atomics, Inc.", "slug": "apollo-atomics-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/16f6645d8ad61e91c9ab2ac0538b531424aa4cb7.png", "website": "https://apolloatomics.com/", "all_locations": "Boston, MA, USA", "long_description": "", "one_liner": "We make the most compact nuclear reactors", "team_size": null, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1779451083, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "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/apollo-atomics-inc", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/apollo-atomics-inc.json", "year_founded": null, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/apollo-atomics/", "x_url": "https://x.com/ApolloAtomics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/16f6645d8ad61e91c9ab2ac0538b531424aa4cb7.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": 1771814, "full_name": "Assil Halimi", "title": "Founder/CEO", "founder_bio": "Founder at Apollo Atomics, Inc. (YC P26). PhD in Nuclear Engineering from MIT with 15 peer-reviewed publications and 2 patents on reactor design and fuel optimization. Previously reactor operator at Engie (Belgium's nuclear operator) and advanced reactor designer at EDF (world's largest nuclear operator). Worked with Westinghouse, NuScale, Rolls-Royce on PWR development.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aahalimi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd3b774cc6015b86db8d3522ed253a04f1971a7b.jpg" }, { "user_id": 3593795, "full_name": "Drew Walker", "title": "Founder/COO", "founder_bio": "Co-Founder & COO of Apollo Atomics (YC P26). He previously co-founded Blue Innovations Group, an electric boat startup, and served in the White House. He holds a B.A. in Political Science from George Washington University.​​​​​​​​​​​​​​​​", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/drewwalkerrr/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a630f3cd7cbb13ad53c30ddd73c4424e4a514fa4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102035, "title": "Apollo Atomics: The Modern Nuclear Company", "tagline": "Compact nuclear reactors for companies that can't wait for the grid.", "body": "Hey everyone 👋\n\nWe're [Assil](https://www.linkedin.com/in/aahalimi/) and [Drew](https://www.linkedin.com/in/drewwalkerrr/) — co-founders of [Apollo Atomics](https://www.apolloatomics.com).\n\n### TL;DR\n\nApollo Atomics took the pressurized water reactor technology that already powers 80% of the world's nuclear plants and flipped one part, the steam generator, to make the plant an order of magnitude smaller without compromising power. That single change turns a decade-long construction project into a factory-built machine that fits on a truck. We've built a working demonstrator, tested it, and our fuel is already critical before July 4th.\n\nWe put the whole story into just over two minutes — it's the clearest version of what we're building we've made so far: ▶️ \n\n### The Problem\n\nThe existing nuclear playbook doesn't work for customers who need power now.\n\n* Gigawatt-scale nuclear takes 10+ years and \\~$20B per plant.\n* Most Small Modular Reactors (SMRs) in development rely on exotic fuels, unproven coolants, or supply chains that don't exist yet.\n* Customers who need power in 2030 are being told to wait until 2035+ and hope.\n\nData centers, industrials, and utilities have demand today — and no credible nuclear option that can ship on their timeline.\n\n### Our Solution\n\nApollo builds compact pressurized water reactors — the same technology that runs \\~80% of the world's nuclear plants today. The difference is that our reactor is roughly 40x more compact, because we shrank only one component: the steam generator.\n\nWe keep everything the NRC has already licensed dozens of times — light water, low-enriched uranium, fuel, and components from existing qualified supply chains. The innovation is a single part: the steam generator.\n\nOur Compact Steam Generator (CSG) replaces the massive, hand-built steam generator at the heart of a conventional PWR with a component 20x smaller, delivering the same thermal power — pre-tested, transportable, and contracted at a fixed price. That one change is what takes a reactor from a decade-long construction project to a factory-built machine deployable in less than 24 months.\n\nOur product roadmap is three reactors, each on a truck, each for a different customer segment:\n\n* A-10 — 10 MWe\n* A-50 — 50 MWe\n* A-300 — 300 MWe\n\n### Our Ask\n\nIf any of these are you, we'd love to talk:\n\n* Data center operators and hyperscalers sourcing 24/7 firm power for 2028–2035 deployment.\n* Industrial offtakers (chemicals, refining, heavy manufacturing) needing process heat or behind-the-meter electricity.\n* Utilities evaluating SMRs for grid-connected generation.\n\n👉 Reach us at [ahalimi@apolloatomics.com](mailto:ahalimi@apolloatomics.com) and [drew@apolloatomics.com](mailto:drew@apolloatomics.com).", "url": "https://www.ycombinator.com/launches/QXj-apollo-atomics-the-modern-nuclear-company", "votes": 35, "created_at": "2026-05-27T16:16:56.566Z" } ] }, { "id": 31509, "name": "Rodeo Robotics", "slug": "rodeo-robotics", "former_names": [ "Lasso (temporary, naming conflict exists)", "Lasso" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed94f83ed341c4f879d7c08c2570c04ba145e07c.png", "website": "https://www.rodeorobotics.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Rodeo builds a robotic technician that automates maintenance so fleets can get vehicles back on the road sooner. Initial deployments focus on oil changes at centralized depots, where routine maintenance competes for scarce technician time.\r\n\r\nCofounders Michael Hazard and Colby Duke met at Applied Intuition, where they worked with OEMs like Toyota and General Motors to bring software and autonomy to vehicles. They saw firsthand how much manual work it takes to keep vehicle fleets running, and learned how to make autonomy reliable through structured testing, real-world data, and human intervention.\r\n\r\nThey’re now applying their experience to the roughly $600B annual US vehicle maintenance market. The average US vehicle is older than ever, driving up maintenance demand at a time when shops already struggle to hire and retain technicians. That gap leaves fleets facing costly downtime and preventable breakdowns.\r\n\r\nDespite this need, vehicle maintenance has resisted traditional automation. Service information is fragmented and unreliable, and vehicle hardware varies significantly between makes and models. Rodeo builds on advances in robotic foundation models to learn maintenance skills that transfer across vehicles.\r\n\r\nRodeo pairs robots with human technicians who ensure each job is completed correctly, handling work the robots can’t yet perform autonomously. These deployments generate training data for Rodeo’s models through both teleoperation and hand tools augmented to record how technicians work. This lets Rodeo earn revenue while collecting the data needed to automate more of each job and improve margins.", "one_liner": "Robots for vehicle maintenance.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1791737469, "tags": [ "Hard Tech", "Robotics", "AI", "Automotive" ], "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/rodeo-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/rodeo-robotics.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed94f83ed341c4f879d7c08c2570c04ba145e07c.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": 1723748, "full_name": "Michael Hazard", "title": "Founder/CEO", "founder_bio": "Building robots for vehicle maintenance. Four years at Applied Intuition bringing software and autonomy to vehicles. Google APM. Stanford CS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michael-hazard", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1236858457295e3981b938e3e2d34b656f23c372.jpg" }, { "user_id": 2583456, "full_name": "Colby Duke", "title": "Founder/CTO", "founder_bio": "Building robots for vehicle maintenance. Previously the tech lead of Applied Intuition's neural simulation team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/colby-duke/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/64bba9bf9ad1bada6772cc26492eff670a931e2f.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31512, "name": "Aernata", "slug": "aernata", "former_names": [ "Pentagon" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab4158325222f50847060cb687cc1b6c81e65dbc.png", "website": "https://aernata.com", "all_locations": "San Francisco, CA, USA", "long_description": "Aernata is an American chemicals company producing clean fuel from industrial emissions.\r\n\r\nWe're starting by converting CO2 to methanol for synthetic fuel production.", "one_liner": "Making clean methanol out of CO2.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1775312221, "tags": [ "Carbon Capture and Removal", "Alternative Fuels", "Climate", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "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/aernata", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/aernata.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/aernata", "x_url": "https://x.com/aernata", "fb_url": null, "cb_url": null, "github_url": "https://github.com/aernata", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab4158325222f50847060cb687cc1b6c81e65dbc.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": 402484, "full_name": "Edgar Pavlovsky", "title": "Founder", "founder_bio": "Founder @ Aernata (P26) - an American chemicals company producing clean fuel from industrial emissions.\n\nPreviously founded: marginfi (DeFi lending on Solana), mtndao (Solana's largest builder community), a trading firm & a logistics SaaS.\n\nBefore that: Uber, Goldman Sachs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edgarpavlovsky/", "x_url": "https://x.com/edgarpavlovsky", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b30edf88abaa421a8619ecae8211bf532982bbb.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101681, "title": "Pentagon - A coordination layer for humans and agents.", "tagline": "A new kind of team: humans and agents, working together.", "body": "Hey YC! I'm [Edgar](https://www.linkedin.com/in/edgarpavlovsky/), building [Pentagon](https://pentagon.run).\n\n**TL;DR** Agents are everywhere but they don't have good ways to work together, so humans become the coordination bottleneck. Pentagon is a coordination layer where your agents communicate autonomously, coordinate on tasks, and get work done as a team.\n\n**Book a demo and see it in action:** \\\n**Our launch video:** \n\n**Problem**\n\nAgents are increasingly becoming AI teammates at work - coding, researching, ops, even talking to customers. But they work alone. Coordination is the bottleneck, and it shows up differently depending on where you sit:\n\n* **Small teams** are spinning up agents from scratch and immediately hitting the ceiling: each one is powerful on its own, but getting them to actually work together means you're back in the loop, copy/pasting between terminals.\n* **Enterprises** already have agents running everywhere across the org. The hard part is figuring out what they're doing, how they fit together, and how to keep track of it all.\n\nUnderneath both: humans are the middleware. Hours of human time burnt doing work meant for a mechanical turk. Today's tools weren't built for this - AI products are conversational and non-deterministic, and reproducing workflows is harder than ever.\n\n**Org code**\n\nThere's a deeper layer to this. Great teams are built for the moment - the right team depends on the problem at hand, the resources you have, and even who's leading. This applies to agents the same as it does to humans: every problem has its own org structure.\n\nAndrej Karpathy calls it \"org code\" - and points out that compared to classical orgs, agentic codes have powerful new properties: they’re reproducible and more transparent. We think that agents also allow organizations to be much more dynamic: they can adapt to problems in realtime, and open a new dimension of what it means to build a productive organization.\n\nFrom [a popular Karpathy tweet](https://x.com/karpathy/status/2031767720933634100):\n\n![Image](https://pbs.twimg.com/media/HIts8HMaIAAKjok?format=jpg&name=medium)\n\n**Our first solution: Pentagon Studio**\n\nPentagon's mission is to build the coordination layer for humans and agents. We're starting with Pentagon Studio - a workspace designed to feel familiar to existing alternatives and shepherd companies into a new kind of collaborative work.\n\n![uploaded image](/media/?type=post&id=101681&key=user_uploads/402484/286ecb28-a420-4390-81cf-f1c1b181ec5c)\n\nIn Pentagon Studio, you define your org structure and your agents run it. Agents live on a spatial canvas and pop up sticky notes with status updates - you see who's active, idle, or blocked at a glance. They message each other, delegate tasks, share context, and build self-evolving memory over time. As the human, your job is to design and manage the team; they do the coordination.\n\n* **Spatial canvas.** Agents live on infinite canvases you can think of like an office. Zoom in on one agent's conversation, zoom out to see the whole operation. The \"org IDE.\"\n* **Autonomous coordination.** Realtime, event-driven communication between agents - no expensive polling loops. Agents take feedback from you, ping another agent to get work done, then ping you when they need you.\n* **Agent persistence.** Agents maintain sessions indefinitely and compound institutional knowledge over time. Tribal knowledge for your agent team.\n* **Shared skills & tools.** Manage capabilities at individual, team, workspace, or org level. Each agent inherits based on hierarchy.\n* **Human multiplayer + human-in-the-loop.** In contrast to \"zero-human company\" angles, we see humans and agents collaborating across shared orgs. Your agents should be able to work with your coworkers' agents.\n\n**Why now**\n\nAgents are already inside companies. The infrastructure to coordinate them isn't. Every day this gap stays open, humans burn hours doing work meant for a mechanical turk and leaders lose transparency into how work actually gets done.\n\nWe believe the best version of the future is one where superintelligent agents are viewed as teammates and we work with them as partners. Every company already knows how to work with coworkers - agents fit into existing organizational frameworks better than we've been giving them credit for. They just need the infrastructure to coordinate.\n\n**Ask**\n\nIf you're running agentic workflows in production and struggling to manage them, we’d love to chat. See Pentagon Studio in action and book a demo with us at or reach out to me personally, and let’s evolve your team: [edgar@pentagon.run](mailto:edgar@pentagon.run).\n\n![uploaded image](/media/?type=post&id=101681&key=user_uploads/402484/eb375bb3-1851-449f-9953-0daea8bee1b2)\n\n", "url": "https://www.ycombinator.com/launches/QS1-pentagon-a-coordination-layer-for-humans-and-agents", "votes": 12, "created_at": "2026-05-20T23:57:21.091Z" } ] }, { "id": 31530, "name": "Avea Robotics", "slug": "avea-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8bbc0f67672c28c5bc0d90aef4a3427383e238ac.png", "website": "https://www.avearobotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "We built the fastest software to control robots from anywhere in the world. We make it possible for robotics companies to keep their robots at 100% uptime, and intervene instantly when a failure occurs. ", "one_liner": "The human-in-the-loop system for robots", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1779165169, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Acquired", "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/avea-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/avea-robotics.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/avea-robotics/", "x_url": "https://x.com/AveaRobotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8bbc0f67672c28c5bc0d90aef4a3427383e238ac.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": 2215628, "full_name": "Ary Indarapu", "title": "Founder/CEO", "founder_bio": "Ary is the co-founder and CEO of Avea Robotics. His mission is to accelerate the future of autonomous robotics by getting robots out of the lab and into the field.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aryanindarapu/", "x_url": " https://x.com/aryind_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e1e9550f0a3ea56d52319495e2e27e34621e309d.jpg" }, { "user_id": 2249924, "full_name": "Vikram Vadrevu", "title": "Founder/CTO", "founder_bio": "Co-founder of Avea Robotics, building high-performance, low-latency software for modern robots. Aerospace + embedded software engineer from UIUC; previously wrote flight software for NASA and DoD satellites. Interested in robotics, physical AI, infrastructure, composite materials, and the state of the world.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vikramvadrevu", "x_url": "https://x.com/vikramvadrevu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/60917f4e7be5b5cd940400b71a1e875d78e26503.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102363, "title": "Avea Robotics - The human-in-the-loop system for robots", "tagline": "Remote teleop intervention to keep your robots at 100% uptime", "body": "Hi! We’re Ary and Vikram. We graduated from UIUC and moved to SF last summer with a mission to get robots out of the lab and into the field, doing real work. Now, we’re at 18k MRR and helped deploy nearly 30 robots!\n\n![uploaded image](/media/?type=post&id=102363&key=user_uploads/2215628/e3932dd6-69d1-46d6-b42c-568c050068b4)\n\n**What’s the problem?**\n\nRobots aren't perfect- they make mistakes and get stuck in edge cases. That means lost time, and on a factory floor or inside a logistics warehouse, that can translate to thousands of lost dollars. Keeping on-site staff on standby just to babysit them kills ROI and the deployment.\n\n**What’s the solution?**\n\nOur product, Sentinel, allows operators to remotely teleop their robots so they can intervene and keep robots running at 100% uptime. Our software is ultra low-latency, meaning operators can react to the environment in near real-time.\n\nWith Sentinel, robotics companies can unlock the path to scaling their deployments.\n\n**Launch Video: [https://youtu.be/dKEbWlZocJQ](https://youtu.be/dKEbWlZocJQ)**\n\n**Our take:** Robotic AI models will never get better if they just sit in the lab. Deployments are the bottleneck for autonomous robots; that’s why we’re building Avea! \n\n**Asks:** We want to talk to more robotics companies! If you or someone you know is an operator at a robotics company that uses teleoperation, please reach out.", "url": "https://www.ycombinator.com/launches/Qd1-avea-robotics-the-human-in-the-loop-system-for-robots", "votes": 13, "created_at": "2026-06-01T15:10:19.277Z" }, { "id": 101616, "title": "Avea Robotics - Control robots from ANYWHERE in the world", "tagline": "Ultra low-latency VR teleoperation to help you scale your robots.", "body": "**TLDR;** Avea builds ultra low-latency teleop software that allows robotics companies to remotely control their robots using VR headsets.\n\n![uploaded image](/media/?type=post&id=101616&key=user_uploads/2215628/66a8757b-ba8a-4a6c-b573-688aba5ad815)\n\n**What’s the problem?**\n\nWhen autonomous robots get stuck during deployment, teleoperation is used to recover them and capture that edge case. Today, that means keeping on-site staff on standby just to babysit deployments. It’s not scalable and hurts ROI, causing deployments to stall.\n\nOther remote teleop softwares are clunky and unreliable for real-time control.\n\n**What’s the solution?**\n\nSentinel allows operators to remotely teleop their robots so they can intervene when autonomy breaks down. Our software has ultra low-latency, meaning operators can react to the environment in near real-time. \n\nWith Sentinel, robotics companies can unlock the path to scaling their deployments.\n\n**Demo Video: [https://youtu.be/dKEbWlZocJQ](https://youtu.be/dKEbWlZocJQ)**\n\n**A bit about us:**\n\n* We moved to SF right after graduating from UIUC last year to work on Avea\n* We’ve been doing robotics since high school (shoutout FIRST!)\n* We're on a mission to get robots out of the lab and into the real world\n\n**Asks:** We want to talk to more robotics companies! If you or someone you know is an operator at a robotics company, please reach out.", "url": "https://www.ycombinator.com/launches/QQy-avea-robotics-control-robots-from-anywhere-in-the-world", "votes": 16, "created_at": "2026-05-20T01:41:28.008Z" } ] }, { "id": 31535, "name": "Arlo Industries", "slug": "arlo-industries", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9516f2cea09963c1b9ba307c35589a5d194c61c0.png", "website": "https://arlo1.com/", "all_locations": "New York City, NY, USA", "long_description": "Arlo Industries is building a network of sensors that precisely tracks stealthy drones and aerial threats better than radars.\r\n\r\nThis capability does not exist yet because traditional radars are built on past war doctrines designed to protect single, centralised assets. Modern warfare, however, demands wide-area, persistent coverage that is both passive and economically scalable. By utilising a mesh architecture, Arlo Industries unlocks unprecedented asymmetric economics. The network is fundamentally built to scale: the cost of adding sensors grows linearly, but the tracking accuracy increases exponentially, delivering highly resilient, persistent coverage for a fraction of the cost of legacy systems.\r\n\r\nDeo founded Arlo Industries after spending over 6 years in the Israeli defence ecosystem, where he lived through multiple conflicts and experienced the Iron Dome and other systems in action against ICBMs and the infamous Shahed drones. Learning exactly how these defence systems could be improved after a Shahed exploded close to his apartment, he built Arlo Industries around the core philosophy that conflict should be concise & precise.\r\n\r\nThe people behind Arlo1 includes a PhD in drones and autonomy and military experts.\r\n\r\nArlo Industries has actively showcased this technology directly to Ukrainian militaries on the frontlines, as well as to operators across Europe and the USA.", "one_liner": "Track drones and missiles without radars - Accurate, Passive, Scalable", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1778901342, "tags": [ "Hard Tech", "Hardware", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Defense" ], "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/arlo-industries", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/arlo-industries.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/109767109/", "x_url": "https://x.com/deoarlo", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9516f2cea09963c1b9ba307c35589a5d194c61c0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8c30398e6fbec40fc7ceb036a37a0024c0926d77.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c2bbb6ca28e8561d0326f8b86f11ce2c2bbb1a06.png" ], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 836806, "full_name": "Deo Arlo (Iron Dome Guy)", "title": "Founder/CEO", "founder_bio": "Deo is the Founder and CEO of Arlo Industries. He studied Mechanical Engineering at Technion Israel (birthplace of the Iron Dome) and lived there for over 6 years under multiple wars. As a Robotics Researcher at Technion, he developed and patented a novel robotic invention that spun out into a venture-backed company. Before Arlo Industries, he was the Co-founder and CTO of Makrverse, a funded platform helping engineers own and commercialise their inventions.", "is_active": true, "linkedin_url": "https://linkedin.com/in/deoarlo", "x_url": "https://x.com/deoarlo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9af3f2e9119170995152885140fc223f0d1b75f5.jpg" } ], "jobs": [ { "id": 95369, "title": "Perception Engineer (Edge CV/AI)", "url": "https://www.ycombinator.com/companies/arlo-industries/jobs/MdmYa3Z-perception-engineer-edge-cv-ai", "location": "San Francisco, CA, US / Troy, NY, US / Remote (Kyiv, Kyiv city, UA; Helsinki, Uusimaa, FI)", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$100K - $250K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "C++", "Python", "TensorFlow", "Distributed Systems", "Deep Learning", "CUDA", "GPU Programming", "OpenCV", "Computer Vision", "Embedded Linux", "Firmware", "Machine learning", "Sensor integration" ] }, { "id": 95372, "title": "Communications & Networking Engineer (Mesh / RF / Edge Systems)", "url": "https://www.ycombinator.com/companies/arlo-industries/jobs/RZXGfgu-communications-networking-engineer-mesh-rf-edge-systems", "location": "San Francisco, CA, US / Troy, NY, US / Remote (Kyiv, Kyiv city, UA; Helsinki, Uusimaa, FI)", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$150K - $250K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "C++", "Python", "TCP/IP", "Distributed Systems", "Software Architecture", "Information Security", "Embedded Linux", "Firmware", "Internet of Things (IoT)", "Microcontrollers", "Sensor integration" ] } ], "news": [], "launches": [ { "id": 101954, "title": "Arlo Industries: We track drones and missiles without radar 🚀", "tagline": "We build sensors that track drones & missiles better than radars", "body": "---\n\n**Hi, I'm Deo, founder of [Arlo Industries](https://arlo1.com/).**\n\n\n\n**The problem**\n\nModern air defence depends on active radars: expensive, emitting, and targetable. A single ground-based radar unit can cost tens of millions, broadcasts its location to anything listening, and leaves massive coverage gaps against low-altitude threats like drones.\n\nThis architecture was built for a different era. Today's threat, swarms of cheap drones and cruise missiles flying below radar coverage, exploits every weakness of centralised, active sensing.\n\n**What we're building**\n\nMentat is a passive, distributed sensing network.\n\n* **Tracks aerial objects in 3D without emitting**: invisible to the threats it detects\n* **Accurately track smaller threats**: our mesh works together to better pinpoint small targets\n* **Scales via many low-cost nodes**: instead of a few high-value targets, we employ asymmetric economics where adding nodes grows linearly in cost but tracking accuracy increases exponentially\n\nWe're the sensing layer, the force multiplier for every interceptor and C-UAS system in the market.\n\n![uploaded image](/media/?type=post&id=101954&key=user_uploads/836806/ddbe92c9-897d-4e52-90ab-c8574ed7335c)\n\n**What we're really building**\n\nDrone detection is our wedge, not our ceiling. The real innovation isn't in any single sensor, it's in the network that ties it all together. We're building the foundational sensing and communications infrastructure layer for frontline defence. A distributed, resilient network that future defence technologies will plug into. Like the **Starlink before the Starship.**\n\n**Why now**\n\nLow-altitude airspace is increasingly contested. Ukraine, Nordics, Eastern Europe, & Middle East, operators everywhere are discovering that the cost curve of traditional radar doesn't scale against distributed drone threats. At the same time, edge compute, distributed systems, and passive optical sensing have reached the point where a fundamentally different architecture is viable.\n\n**Backstory**\n\nI spent 6+ years in Israel, living through multiple conflicts and seeing systems like Iron Dome operate against ballistic missiles and drones firsthand. When a Shahed drone exploded near my apartment, the gap between what exists and what's needed became personal. Since then, I've been in Ukraine and across Eastern Europe, working directly with military operators and validating in real conflict environments.\n\n📍Field Test - Ukraine\n\n![uploaded image](/media/?type=post&id=101954&key=user_uploads/836806/b380d961-dde4-4e50-b6eb-1cbf708e6d3c)\n\n**Traction**\n\n* Active technology demonstrations with Ukrainian military on the frontlines\n* Partnerships and military relationships across USA, Ukraine, Finland, and Estonia.\n* Team includes a PhD in drones/autonomy and military domain experts\n\n**Our asks**\n\n🔧 **Hiring:** We're looking for engineers in optics, signal processing, long-range comms, mesh networks, and off-grid embedded systems → [Jobs page](https://www.ycombinator.com/companies/arlo-industries/jobs)\n\n🤝 **Intros:** Defense operators, C-UAS companies, or critical infrastructure partners (airports, energy, borders) dealing with aerial awareness gaps → please reach out on [Linkedin](https://www.linkedin.com/in/deoarlo/)", "url": "https://www.ycombinator.com/launches/QWQ-arlo-industries-we-track-drones-and-missiles-without-radar", "votes": 55, "created_at": "2026-05-26T05:39:42.686Z" } ] }, { "id": 31560, "name": "Intelligence Factory", "slug": "intelligence-factory", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/30c1f1fb7356289878fa2341c0a20700f178fbcf.png", "website": "https://intelligence-factory.com", "all_locations": "New York City, NY, USA", "long_description": "Robotics is the new paradigm. With hardware converging, Intelligence is the biggest bottleneck. Our world was built for humans and we're giving robots the ability to reason and act like us. \r\n\r\nThe way we learn any task - by seeing, doing, and feeling - is how we train robots. We're building general intelligence that works on any robot and fits seamlessly within our world.", "one_liner": "Human Intelligence for Robots", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1777499618, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "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/intelligence-factory", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/intelligence-factory.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/intelligence-factory/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/30c1f1fb7356289878fa2341c0a20700f178fbcf.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 3245378, "full_name": "Yash Sinha", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO - Intelligence Factory. Robotics ETH Zurich. Ex-Founder/CTO Kaio Labs. F1 Simulation Engineer. On a mission to unlock generalized robotics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yash-sinha-556b411b3/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8b6df01e11338fc39fe9c417c5b75436191063b6.jpg" }, { "user_id": 3417788, "full_name": "Jalaj Shukla", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Intelligence Factory - Unlocking Robotics\nPreviously: MTS (Manipulation, VLA, Controls) at Dimensional, Sr. Robotics Engineer (Manipulation) at Blue Sky Robotics, CV Engineer at Applied Materials, R&D SWE at Ansys. MS in Robotics & Mechatronics from UPenn, GRASP Lab RA on multimodal manipulation policies. Earlier, worked as Research Fellow at DRDO, Ministry of Defence.\nLove cooking and exploring new places, active meditator and poet. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jalaj-shukla-635005167/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/56b077a861b87f4774c26d892395c64cd4b34085.jpg" } ], "jobs": [ { "id": 93968, "title": "Founding Engineer: Manipulation", "url": "https://www.ycombinator.com/companies/intelligence-factory/jobs/gTQaSpW-founding-engineer-manipulation", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$80K - $200K", "equity_range": "0.10% - 2.50%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 100368, "title": "Data Engineer (India)", "url": "https://www.ycombinator.com/companies/intelligence-factory/jobs/X8JNksS-data-engineer-india", "location": "Pune, Maharashtra, IN", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "₹1.5M - ₹4M INR", "equity_range": "0.01% - 0.20%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "Python", "Torch/PyTorch", "Multimodal AI" ] }, { "id": 106818, "title": "GTM/Operations Intern", "url": "https://www.ycombinator.com/companies/intelligence-factory/jobs/HkPFlZx-gtm-operations-intern", "location": "New York, NY, US", "type": "Internship", "role": "Operations", "role_type": null, "salary_range": "$20 - $30 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 106819, "title": "Mechanical Engineer (India)", "url": "https://www.ycombinator.com/companies/intelligence-factory/jobs/RADFs9S-mechanical-engineer-india", "location": "Pune, Maharashtra, IN", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "₹1M - ₹2M INR", "equity_range": "0.01% - 0.20%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "CAD Design", "Prototyping" ] } ], "news": [], "launches": [ { "id": 102271, "title": "Intelligence Factory", "tagline": "Human Intelligence for Robots", "body": "Intelligence Factory is building human intelligence for robots.\n\nRobotics hardware is converging, and intelligence is the biggest bottleneck.\n\nWe are building general-purpose manipulation intelligence that makes robots work in diverse and unconstrained environments. Our models are trained on human demonstration data captured in our data factories. In these facilities, humans perform a wide variety of tasks while wearing our custom-built gloves, which capture what they see, do, and feel.\n\nWe retarget human motion to robot motion to deploy our models on a variety of robot hardware, from 5-finger dexterous hands to grippers.\n\nWe are deploying in warehouses, grocery stores, and data centers. As our data scales in volume and diversity, we will build models that generalize to any task, object, and environment.\n\nWe're building embodied intelligence: robots that reason like humans and fit seamlessly within our world.\n\nYash and Jalaj have spent the last 5 years deploying robots in the real world, working across the robotics pipeline from data collection and model building to last-mile deployment.\\\n\\\n", "url": "https://www.ycombinator.com/launches/QbX-intelligence-factory", "votes": 33, "created_at": "2026-05-30T04:57:06.187Z" } ] }, { "id": 31569, "name": "Proprio Robotics", "slug": "proprio-robotics", "former_names": [ "Proprio" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3aeac99898de10d679342b3768b7bc6047f56469.png", "website": "https://www.propriorobotics.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Proprio Robotics is building state-of-the-art physical intelligence to automate the entire data center lifecycle—from buildout to maintenance to decommissioning. There are currently 400,000 unstaffed data center technicians positions in the United States alone, which means the massive compute needs of AI are being bottlenecked by labor constraints. Proprio is solving this by building robots that do it instead, and is deploying data center maintenance robots starting Q1 2027. ", "one_liner": "Robots to maintain and assemble data centers", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1784630562, "tags": [ "Robotics", "AI" ], "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/proprio-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/proprio-robotics.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/proprio-robotics", "x_url": "https://x.com/ProprioRobotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3aeac99898de10d679342b3768b7bc6047f56469.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": 2910355, "full_name": "Anirudh Pai", "title": "Founder/CEO", "founder_bio": "Founder, CEO of Proprio\nEECS M.S @ U.C Berkeley BAIR\nComputer Vision & Dexterous Robotic Manipulation", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/apai25", "x_url": "https://x.com/apai253", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d7ea9eb84630296f5984aa38b7f2f590f6b9f920.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 106864, "title": "Proprio Robotics - Autonomous Data Centers", "tagline": "Autonomous robots to build, maintain, and decommission data centers.", "body": "\n![uploaded image](/media/?type=post&id=106864&key=user_uploads/2910355/e9094f01-f5e9-4c30-93c6-81d8f041957d)\n\n### **Physical AI for Data Centers**\n\nOver the next five years, more than $7 trillion is projected to flow into data center buildout. But the supply chain is still heavily manual and fragmented, and can’t keep pace with current demand. **Proprio Robotics** is building autonomous robots for the entire data center lifecycle—assembly, maintenance, and decommissioning.\n\nSee our [launch video!](https://www.youtube.com/watch?v=999uFeKGyVY)\n\n### **The Problem**\n\nBuilding and running AI compute infrastructure requires dealing with delicate and fragile components that traditional automation simply cannot do. As a result, servers are manually assembled by hand overseas, and spend weeks in transit before they are integrated into racks and delivered to data centers. Once they get there, labor constraints exacerbate the issue of maintenance. Today, hundreds of thousands of technician positions go unfilled in the United States. Finally, when the servers are retired, there is no efficient way to extract valuable components inside like GPUs and memory.\n\n### **What We're Building**\n\nWe develop physical AI models and custom hardware, purpose-made to give robots the dexterity and intelligence to perform various server-related manipulation tasks.\n\n* **Assembly** **-** Autonomous robots can assemble servers onshore without driving up labor costs, supporting the growing need to bring ODMs back to the United States.\n* **Maintenance** **-** We use the same technology for live data center maintenance. We built a working AI data center in our office, and our robot can actively maintain it 24/7. We’re deploying this technology to commercial data centers in the coming months.\n* **Decommissioning** **-** Our robots also break down previous-generation servers and pull out reusable parts, and we're working with enterprise circular programs and IT Asset Disposition companies to return scarce components to circulation.\n\n### **Why This Matters**\n\nThe immense demand for compute requires new innovation. \n\nTo solve power and cooling constraints, operators are building data centers away from the grid, near nuclear facilities, on the water, and in space—environments where it’s not easy to staff humans. With autonomous data centers, we can take human ergonomics and labor constraints out of the picture and redesign entire facilities from scratch.                    \n\n### **Who We Are**\n\nWe're graduate robotics researchers out of **Berkeley AI Research** and **Harvard AI and Robotics Lab**. Anirudh’s spent years working at one of the country's leading robotics labs, training dexterous manipulation models alongside NVIDIA's GR00T team. Raghav’s led research centered on reinforcement learning and humanoid world models. Both of us are extremely excited to bring this expertise to the AI compute industry, where robotic automation will be indispensable for meeting demand.\n\n### **Our Ask**\n\nAs we advance our technology, we’d like to push for more commercial deployments. If you / anybody you know works in any stage of the AI compute lifecycle, we’d love to chat. Reach out to us at [founders@propriorobotics.com](mailto:founders@propriorobotics.com) :)", "url": "https://www.ycombinator.com/launches/Rnc-proprio-robotics-autonomous-data-centers", "votes": 9, "created_at": "2026-07-22T17:09:29.434Z" } ] }, { "id": 31582, "name": "Edgerun", "slug": "edgerun", "former_names": [ "Edgerun Industries" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8fb84bc8b7f8d02b776dec7685bbaf102fdadf1c.png", "website": "https://edgerun.com", "all_locations": "San Francisco, CA, USA", "long_description": "Edgerun builds military exoskeletons. The first product is a 10-pound hip system that fits over existing kit and doubles a soldier’s range. Since April 2026, Edgerun built over a dozen iterations of their product through continuous field tests with Ukrainian fighters and secured $150M+ in LOIs. Founder David Venegas previously co-founded Durin (autonomous mining robotics) and worked at Stoke Space (at 19) and Hadrian. He is a high-school dropout, state-championship runner, adventure athlete, and pilot. Edgerun is a Y Combinator company backed by General H.R. McMaster, Cyan Banister, Joshua Steinman and Jason Miller. edgerun.com", "one_liner": "Military exoskeletons", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1787343759, "tags": [ "Hard Tech", "Hardware", "Robotics", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "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/edgerun", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/edgerun.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/edgerun", "x_url": "https://x.com/edgerun_inc", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/edgerun-industries", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8fb84bc8b7f8d02b776dec7685bbaf102fdadf1c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 1393855, "full_name": "David Venegas", "title": "Founder/CEO", "founder_bio": "Founder of Edgerun, pro-human expansionist, state-championship runner, adventure athlete, and pilot.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/david-venegas-m/", "x_url": "https://x.com/davidvenegas", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c10fbaaf669d694298a5fa036ff23e69baf933f4.jpg" } ], "jobs": [ { "id": 109346, "title": "Principal Engineer, Embedded Systems", "url": "https://www.ycombinator.com/companies/edgerun/jobs/6Pn7CiI-principal-engineer-embedded-systems", "location": "Palo Alto, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Embedded systems", "salary_range": "$220 - $325", "equity_range": "0.75% - 2.00%", "experience": "11+ years", "visa": "US citizen/visa only", "skills": [ "C++", "Firmware" ] }, { "id": 109347, "title": "Mechanical Engineer", "url": "https://www.ycombinator.com/companies/edgerun/jobs/ugTXhoh-mechanical-engineer", "location": "Palo Alto, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$120 - $180", "equity_range": "0.25% - 0.75%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "CAD Design", "Design systems" ] }, { "id": 109348, "title": "Electrical Engineer", "url": "https://www.ycombinator.com/companies/edgerun/jobs/6YuWGTT-electrical-engineer", "location": "Palo Alto, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$120 - $180", "equity_range": "0.25% - 0.75%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "PCB design" ] }, { "id": 109349, "title": "Firmware Engineer", "url": "https://www.ycombinator.com/companies/edgerun/jobs/0LmpEaM-firmware-engineer", "location": "Palo Alto, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Embedded systems", "salary_range": "$140 - $190", "equity_range": "0.25% - 0.75%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "C++", "Firmware" ] }, { "id": 109350, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/edgerun/jobs/U3cSW0r-software-engineer", "location": "Palo Alto, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150 - $200", "equity_range": "0.25% - 0.75%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "C", "C++", "Python", "Data Warehousing", "Data Analytics" ] }, { "id": 110829, "title": "Supply Chain Engineer", "url": "https://www.ycombinator.com/companies/edgerun/jobs/Ecz1f6N-supply-chain-engineer", "location": "Palo Alto, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$110 - $160", "equity_range": "0.25% - 0.75%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 112214, "title": "Edgerun: The 10 lb Military Exoskeleton", "tagline": "Powered exoskeleton that assists every step a soldier takes under combat load", "body": "**TL;DR:** Edgerun builds powered legs for soldiers. A 10 lb exoskeleton worn at the waist that adds assistance to every step and cuts the effort of moving under a combat load by 30-45%. Since May, we've run 100+ field tests with Ukrainian operators out of our Kyiv field office.\n\n\n\n**▍The problem**\n\nEvery system on the modern battlefield has been upgraded. The human carrying it has not.\n\n* For 2,500 years the soldier's load sat around 40 lbs. In the last 40 years it **doubled, then doubled again**.\n* A US infantryman now carries **90-140 lbs** into a fight. The Army's own field manual sets the limit at 48 lbs.\n* On deployment, load carriage causes **twice as many** evacuations as enemy contact.\n* The Pentagon and VA spend **$9.3B a year** on the injuries it leaves behind.\n\nBattles are won through speed and surprise. Load kills both.\n\n**▍Why now**\n\nSixty years of military exoskeletons died the same death. The device cost more to carry than it gave back. SOCOM's TALOS burned $400M before it was cancelled in 2019.\n\nThat all changed in the last 18 months. The humanoid robotics boom produced one-pound actuators that put out 30+ Nm of torque, and 21700 cells crossed 450 Wh/kg. The components finally exist. They’re getting better every quarter.\n\n![uploaded image](/media/?type=post&id=112214&key=user_uploads/1393855/cd255b24-3429-4270-9670-e28fc8df360b)\n\n**▍What we built**\n\nOur first exoskeleton is a bilateral hip system worn at the waist. It reads your gait in real time and adds torque at the moment your hip drives forward. The hip produces about 60% of the force in loaded walking, so assisting it gives the most help-per-pound of anything you could strap to the body.\n\n* Under 10 lbs with batteries\n* 30-45% less metabolic cost under a combat load\n* On in 5 seconds, off in one\n* 12+ hours on hot-swappable drone-class batteries\n* Quasi-direct-drive actuators, composite structures, CAN bus. Nothing exotic by design.\n\nThe soldier arrives at the objective still able to fight, patrols 10 km farther, and keeps a body that lasts past one tour.\n\n![uploaded image](/media/?type=post&id=112214&key=user_uploads/1393855/94bf48a9-0ba6-4ce7-94a2-f467cae9657c)\n\n![uploaded image](/media/?type=post&id=112214&key=user_uploads/1393855/883d1e98-900a-420a-b7ff-e56cc8911c0c)\n\n**▍Ukraine**\n\nOur field engineers work out of a Kyiv office, alongside operators from infantry, special operations, and National Guard units who provide structured feedback every day. [Balistyka](https://balistyka.ua/), one of Ukraine's leading body armor makers, is an integration partner, helping us ensure our system fits the kit soldiers already wear.\n\n![uploaded image](/media/?type=post&id=112214&key=user_uploads/1393855/89a30d39-fe11-421c-abe7-32961da8d1bd)\n\n**▍The mission**\n\nDefense is the first customer, not the last. Read the mission at edgerun.com/mission", "url": "https://www.ycombinator.com/launches/TBu-edgerun-the-10-lb-military-exoskeleton", "votes": 7, "created_at": "2026-08-25T16:19:00.453Z" } ] }, { "id": 31858, "name": "Torus", "slug": "torus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/79a2f7b5a083998db3fcc9309c0435a2ccb05016.png", "website": "https://www.usetorus.com", "all_locations": "San Francisco, CA, USA", "long_description": "Torus lets engineering firms and project owners build infrastructure 10x faster to reindustrialize America and the West. \r\n\r\nWe're working with multiple Fortune 500 companies to build critical infrastructure including data centers and critical energy installations. ", "one_liner": "Legora for physical engineering firms", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1783552199, "tags": [ "Construction", "Energy", "Enterprise Software", "AI", "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": null, "url": "https://www.ycombinator.com/companies/torus", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/torus.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/torus-intelligence/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/79a2f7b5a083998db3fcc9309c0435a2ccb05016.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": 554410, "full_name": "Marcus Lima", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Torus. We build agentic engineering tools for capital project engineering firms.\n\nPreviously founder of Heimdal, direct air carbon capture technology and infrastructure.\n\nOxford and Cambridge grad.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marcus-lima-144974101/", "x_url": "https://twitter.com/MarcusLimaGN", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/48308bbcb3e74764b7772075c1ed7357f112d2d7.jpg" }, { "user_id": 1208048, "full_name": "Rahul Thayil", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Torus (YC S26). \n\nPrev. Founder of Orion - AI threat intelligence and response automation.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rahul-thayil/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d691d142de70dcee7c6c00f5b37675b9753999e4.jpg" } ], "jobs": [ { "id": 105565, "title": "AI Engineer (interested in physical infrastructure)", "url": "https://www.ycombinator.com/companies/torus/jobs/jIERZ3O-ai-engineer-interested-in-physical-infrastructure", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.25% - 0.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Rust", "TypeScript", "Torch/PyTorch", "Machine Learning", "CAD Design", "LLMs", "RAG", "AI Agents" ] }, { "id": 105567, "title": "Electrical Engineer ", "url": "https://www.ycombinator.com/companies/torus/jobs/kNWpYEu-electrical-engineer", "location": "San Francisco, CA, US / Houston, TX, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$100K - $200K", "equity_range": "0.25% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105568, "title": "Physical Infrastructure Engineer (any discipline)", "url": "https://www.ycombinator.com/companies/torus/jobs/7TMYD7B-physical-infrastructure-engineer-any-discipline", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Chemical engineering", "salary_range": "$100K - $200K", "equity_range": "0.25% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "CAD Design", "AI Agents" ] }, { "id": 105570, "title": "Member of Nontechnical Staff (GTM)", "url": "https://www.ycombinator.com/companies/torus/jobs/kBIlCwY-member-of-nontechnical-staff-gtm", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "0.05% - 0.10%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Marketing design" ] } ], "news": [], "launches": [ { "id": 114335, "title": "Torus: Legora for the engineers who build power plants, refineries, and data centers", "tagline": "better engineering design for industrial infrastructure", "body": "**TL;DR** Torus is Legora for physical engineering firms\n\nWe make engineering design better. Our customers are using Torus to generate complete engineering packages and artifacts including complex engineering diagrams across disciplines. This dramatically cuts engineering cost, and timelines. \n\n![uploaded image](/media/?type=post&id=114335&key=user_uploads/554410/77f6d39c-d4dd-40d5-9c3d-af74b6daa8d9)\n\nInfrastructure projects spend months or years just on engineering. Every week of schedule compression on billion dollar infrastructure projects is worth millions. \n\nWe’re working with major EPCs and infrastructure owners across the US, helping them cut months long engineering timelines down to days. AI is fundamentally transforming how physical engineering is done, and Torus is delivering this to customers. We’re doing to physical enmgineering what Cursor did to software engineering. \n\n![uploaded image](/media/?type=post&id=114335&key=user_uploads/554410/0118fdd5-ef91-4497-9f28-858e4a6c0b77)\n\nMarcus Lima, CEO. Founded Heimdal (YC S21), raised $12M+ including Sam Altman and Marc Benioff, and built the world's largest carbon capture plant of its kind, working directly with EPCs for years. He lived the pain of slow and expensive engineering.\n\nRahul Thayil, CTO. Founded Orion, raised $4M+, and spent 10+ years building real-time anomaly detection over messy physical data.\n\nBest friends for 13 years, lived together for 5. One of us built the infrastructure; the other built the intelligence over its data. Torus is both, fused.\n\n**Our ask**\n\n* **We're hiring founding engineers (SF, in person).** We're based in SF and work in person, and we forward-deploy to our customers in Kansas City, Tulsa, Houston, and wherever the projects are. We’re hiring every type of engineer, software, mechanical, electrical, process. If you’re an engineer interested in building massive infrastructure we want to work with you.\n* **Intros to infra owners / engineering firms** the companies that build out infrastructure (midstream, power, utilities, data center developers, industrial operators, O&G). Anyone scaling capacity who feels the engineering crunch.", "url": "https://www.ycombinator.com/launches/Tk7-torus-legora-for-the-engineers-who-build-power-plants-refineries-and-data-centers", "votes": 6, "created_at": "2026-09-09T20:00:00.280Z" } ] }, { "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": 32156, "name": "Enact", "slug": "enact", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f79f9bbc22f20d6e3465ca66081c4a646834064.png", "website": "https://enact.company", "all_locations": "San Francisco, CA, USA", "long_description": "Enact creates the physical environments to benchmark and hill climb robotics models on high-value tasks. We find where robots fail, and fix them with our in-house training loop.", "one_liner": "Real-world RL environments for robotics models", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1786311090, "tags": [ "Reinforcement Learning", "Robotics", "AI" ], "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/enact", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/enact.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/enact-company/?viewAsMember=true", "x_url": "https://x.com/enact_labs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f79f9bbc22f20d6e3465ca66081c4a646834064.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": 2406199, "full_name": "James Stevens", "title": "Founder/CEO", "founder_bio": "Founder & CEO @ Enact", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/james-stevens-440362200", "x_url": "https://x.com/jamesw_stevens", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c605b46207ec2b29443db68751da93ca45c507c0.jpg" }, { "user_id": 3594727, "full_name": "Govind Chada", "title": "Founder/CTO", "founder_bio": "Founder at Enact. Previously: Robotics research in Chelsea Finn’s IRIS Lab at Stanford AI Lab, Meta Reality Labs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/govind-chada", "x_url": "https://x.com/govindchada", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bffdb6ffe1344f591c02771b2dceccd816fe305e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109880, "title": "Enact: post-training infrastructure for robotics models", "tagline": "Enact generates the data and evaluations needed to make robotics models reliable in the real world.", "body": "**TL;DR: Enact helps teams deploy robots that work in the real world. We roll out policies, generate failure / recovery data, and run in-house evaluations so robots can complete real tasks in production.** \n\n[**https://www.youtube.com/watch?v=dam0tQBIezY**](https://www.youtube.com/watch?v=dam0tQBIezY)\n\n**The Problem**\n\nRobotics models can look flawless in choreographed demos and still fail when an object slips, the scene shifts, or the robot makes an early mistake. Those failures push the policy into states its training data never taught it to recover from. **Robotics models must train on edge cases to be reliable in the real world.**\n\n**What We Built**\n\nEnact turns a policy’s failures into targeted recovery datasets for teams training robotics models. We use the data to fine-tune models and run real-world evaluations, verifying our data improves reliability.\n\n**We’re already serving our first customers: finding where their robots fail and collecting the targeted recovery data needed to make them robust.**\n\n* Roll out an existing model on a physical robot.\n* Identify recurring failure states.\n* Recreate those states and demonstrate how to recover.\n* Retrain with the new trajectories added in.\n* Repeat\n\n**Targeted recovery data pushes success rates above 99%.**\n\nOn our controlled packing task using pi0.5 on the YAM 6DoF arms:\n\n* 200 ordinary expert demonstrations: 90/100 successful physical rollouts\n* 250 ordinary expert demonstrations (more of the same data): 89/100\n* 200 expert demonstrations plus 50 targeted recovery demonstrations: 99/100\n\n![uploaded image](/media/?type=post&id=109880&key=user_uploads/2406199/e1b83c19-6e1d-4dda-adcf-258398bc1676)\n\n**We’re continuing to longer-horizon tasks such as industrial kitting, lab automation, and electronics recycling**\n\nLonger-horizon tasks need substantially more base and recovery data, but the loop is the same: find failures, target missing behaviors, retrain, repeat.\n\n**Who We Are**\n\nWe’re James Stevens and Govind Chada, and we met at Stanford. Govind researched real-world robot adaptation in Chelsea Finn’s IRIS Lab and co-developed recovery methods published at top robotics conferences. Together, we built Enact’s in-house data and evaluation operation and are already serving robotics teams. We started Enact to make robotics models work reliably outside the lab.\n\n**Our Ask**\n\nTraining a robot foundation model or deploying a policy that fails on a real task? Tell us the model, task, and where it breaks, and we’ll make it work.\n\nEmail: [founders@enact.company](mailto:founders@enact.company)", "url": "https://www.ycombinator.com/launches/SaG-enact-post-training-infrastructure-for-robotics-models", "votes": 16, "created_at": "2026-08-11T14:30:00.204Z" } ] }, { "id": 32157, "name": "Maingen", "slug": "maingen", "former_names": [ "Maingen AI", "Maingen", "Maingen AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2eb59fa1eb6f59fafb938607c641276931a20aef.png", "website": "https://www.maingen.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Maingen builds simulations for industrial operations ($5 trillion slice of the US economy) so frontier labs can train models that actually run power plants, factories, and datacenters.", "one_liner": "Simulating Agents Running Industrial Companies", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1784688239, "tags": [ "B2B", "Energy", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "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/maingen", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/maingen.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/maingen", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2eb59fa1eb6f59fafb938607c641276931a20aef.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 1925382, "full_name": "Phillip Yan", "title": "Founder/CEO", "founder_bio": "CEO at Maingen (S26). Prev. 0x, power trading, Scale AI, Coinbase (YC S12). \nShipped exchange infra powering $150M+ TPV", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pyan/", "x_url": "https://x.com/PhillipYan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ecf7bdd1531c6e539582b01d63661a59e9e880c5.jpg" }, { "user_id": 2362549, "full_name": "David Yang", "title": "Founder/CTO", "founder_bio": "CTO of Maingen (S26). Prev. Idler (S25), Scale AI, Reticular (F24), and Amazon.\nCited by Anthropic for ICLR2025 mech-interp paper.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/david-yang-ai/", "x_url": "https://x.com/djyang1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a0c350ff34675efa324bcf4a043c0999f005df3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109472, "title": "Maingen: Simulations of real industrial operations, so agents can run the physical world", "tagline": "Long horizon RL environments for the $5 trillion industrial economy", "body": "Hello everyone!\n\nPhillip and David here, founders of Maingen (YC S26).\n\n**TLDR: AI is moving to the industrial world. Maingen builds RL environments for industrials (a $5 trillion slice of the US economy) so frontier labs can train models that actually run factories.**\n\n**Problem**:\n\nWe believe the next capabilities frontier is the physical world: operating factories, power plants, and industrial infrastructure. But that data doesn't exist on the internet, but rather as tacit knowledge inside enterprises, on operations desks, and in CMMS systems and vendor portals.\n\n**What we do:**\n\n\n\nWe embed with operators in these industries and translate their decision making process into RL environments labs can train.\n\n**Our first public benchmark evaluates whether agents can run a solar portfolio [solarbench.maingen.ai](http://solarbench.maingen.ai).** We’re continuing in other areas like factories, and we’re already working with frontier labs.\n\n**Who we are**\n\nThe founders Phillip Yan and David Yang have previously built RL environments, worked in the energy industry, shipped software powering 150 million+ TPV, and have been cited by Anthropic.\n\n**Get Involved**\n\nMaingen is looking for researchers and industrial operators to help shape its next environments. We’d love to hear from you if you:\n\n1. Work on research on long-horizon **agents, RL environments, or physical-world capabilities**.\n2. Run operations at an industrial site or can introduce the team to someone who does\n\nReach out at [founders@maingen.ai](mailto:founders@maingen.ai)! We're always down for a coffee!\n\nThanks,\n\nPhillip and David", "url": "https://www.ycombinator.com/launches/STg-maingen-simulations-of-real-industrial-operations-so-agents-can-run-the-physical-world", "votes": 5, "created_at": "2026-08-07T16:00:00.073Z" } ] }, { "id": 32168, "name": "Synapse Semiconductor", "slug": "synapse-semiconductor", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/37650fbbc73ea1ea0b895fd819e93836825d1520.png", "website": "https://synapsesemi.org", "all_locations": "Durham, NC, USA", "long_description": "We want to push machines to where humans cant go. \r\nPresidential early career award winning Duke Semiconductor ECE Faculty Tania Roy and Sanjeev Chauhan are building a frontier semiconductor research lab. Their focus is on solving physical AI challenges from the semiconductor device level and building products around the moat of impossible to copy innovation. Their first work is on a new vision sensor that can run neural network filters right in the camera pixels and only collect data that machines care about. As physical AI develops, machines needs to understand the world around them if they aim to interact with them.\r\n", "one_liner": "New semiconductors that merge compute and vision", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1785109099, "tags": [ "Edge Computing Semiconductors", "Hard Tech", "Robotics", "Defense", "AI" ], "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/synapse-semiconductor", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/synapse-semiconductor.json", "year_founded": null, "city": "Durham", "country": "US", "linkedin_url": "https://www.linkedin.com/company/synapse-semiconductor/", "x_url": "https://x.com/SynapseSemi", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/37650fbbc73ea1ea0b895fd819e93836825d1520.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 1383306, "full_name": "Sanjeev Chauhan", "title": "Founder/CEO", "founder_bio": "I like to break things and build things\n\n2 IEDM publications, 3 years Seed Stage VC, scaled deaplearning.com to 300k users, Stanford Linear Accelerator National Lab ML Researcher, IPAC 1st Author", "is_active": true, "linkedin_url": "https://linkedin.com/in/sanjeev-one", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ed6ba01db61837566ea4234d9d7ec34da6e0e4c1.jpg" }, { "user_id": 3682345, "full_name": "Tania Roy", "title": "Founder", "founder_bio": "Academic by profession, entrepreneur by nature. Love to control the user interface to reality.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tania-roy-ba272b24/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/22e5f2656b361e2b88271fcd468b9cc08d0ba91f.jpg" } ], "jobs": [ { "id": 106484, "title": "Founding Engineer - RETINA", "url": "https://www.ycombinator.com/companies/synapse-semiconductor/jobs/T7HUC4J-founding-engineer-retina", "location": "San Francisco, CA, US / Durham, NC, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$1M", "equity_range": "10.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Verilog", "VHDL", "Computer Vision" ] } ], "news": [ { "title": "Duke ECE Hardware Startup Selected for Y Combinator | Duke Pratt School of Engineering", "url": "https://pratt.duke.edu/news/synapse-semiconductor-y-combinator/", "date": "Jun 08, 2026" } ], "launches": [ { "id": 107691, "title": "Synapse Semiconductor: We put a neural network inside the camera pixel.", "tagline": "Semiconductors to push machines where humans cant go.", "body": "\n\n**TLDR:** Synapse Semiconductor builds image sensors that process **AI on the sensor** itself. Each pixel captures light and runs neural-network computation in the same device, replacing the need for a GPU while cutting the power and latency of edge vision.\\\n\\\n\\\nA camera has no use by itself. Its value is only when its information gets evaluated. How can a camera that only has value when combined with a GPU support local intelligence? GPUs will get better, yet the fundamental problem is the separation of the camera and the GPU. Solving that separation will unlock bountiful innovation in machine perception. \n\n**RETINA: a chip designed like the human retina which runs neural network operations in the camera pixel.** \n\n\\\nWe have compressed the whole edge AI vision hardware stack into **one wafer**. CNNS, VLMS, etc can run on just one chip that senses light. Our compute transistors are also the same photosensors that see light. There is no longer separation between compute (Nvidia Jetson Nano) and a camera (RealSense Depth Camera). \\\n\\\nIf you are building robotic perception, drones, and vision systems for physical AI —> [book.synapsesemi.org](http://book.synapsesemi.org)\n\n![uploaded image](/media/?type=post&id=107691&key=user_uploads/1383306/bfa2012d-1c74-47b5-bdad-3127e94cd8bf)\n\n", "url": "https://www.ycombinator.com/launches/S0x-synapse-semiconductor-we-put-a-neural-network-inside-the-camera-pixel", "votes": 57, "created_at": "2026-07-27T03:40:58.979Z" } ] }, { "id": 32188, "name": "IMPACT Drones", "slug": "impact-drones", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c7df3a5c9dfd6e7d9865e24f95f172c997a7183b.png", "website": "https://www.impact-drones.com", "all_locations": "San Francisco, CA, USA", "long_description": "IMPACT builds autonomous interceptor drones that ship in sealed containers. The box sits at the site it protects, data centers, power grids, airports, bases, with no crew on the pad. When sensors cue a hostile drone, an interceptor pierces its own frangible lid, launches, and rams the target, guided by onboard vision that keeps working when GPS is jammed. Legacy effectors cost $1M+ per shot against $30k threats; ours cost less than the threat and scale with the swarm, the same class of interceptor already downing Shahed drones over Ukraine. Sites subscribe to protection instead of buying missiles, hardware, reloads and monitoring included: Air Defense as a Service. 180M+ USD in signed letters of intent.", "one_liner": "Air Defense as a Service for Civilian Infrastructure.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1785702345, "tags": [ "Hardware", "Drones", "Swarm Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "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/impact-drones", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/impact-drones.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/impactdrones", "x_url": "https://x.com/impactdrones", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c7df3a5c9dfd6e7d9865e24f95f172c997a7183b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 3245067, "full_name": "Jasper Lortije", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO, Impact Drones. Aerospace engineer (MSc, TU Delft), over a decade building drones. Built the VTOL drone that won the Hannover Messe VTOL competition. Worked alongside special forces on the counter-drone security plan for the 2025 NATO Summit, protecting heads of state including President Trump.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jasper-l/", "x_url": "https://x.com/JasperLort", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a658fea832c15f888808bdf1131fe0fc62b3df85.jpg" }, { "user_id": 3677968, "full_name": "Alessandro Fiume", "title": "Founder", "founder_bio": "Co-founder at Impact Drones. Columbia MSc. Built the pipeline behind 180M+ USD in signed LOIs. At Bloomberg, drove 80% week-over-week growth in terminal activations closing 2M USD in contracts. Scholarship fellow to Columbia & ESCP, valedictorian of CIV, France.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alessandro-fiume45/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/afa1db0b96ca55b32dea0b32e29b6a0fe999eda2.jpg" } ], "jobs": [ { "id": 114195, "title": "Founding Engineer, Robotics and Flight Software", "url": "https://www.ycombinator.com/companies/impact-drones/jobs/dpDZ9V6-founding-engineer-robotics-and-flight-software", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$120K - $170K", "equity_range": "0.50% - 1.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "C++" ] }, { "id": 114196, "title": "Integration Engineer, Radar and Drone Software (Counter-UAS)", "url": "https://www.ycombinator.com/companies/impact-drones/jobs/LKeth6O-integration-engineer-radar-and-drone-software-counter-uas", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Embedded systems", "salary_range": "$100K - $150K", "equity_range": "0.20% - 0.40%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "C++", "Python", "Linux", "Sensor integration" ] }, { "id": 114197, "title": "Autonomy Engineer, Interceptor Drones", "url": "https://www.ycombinator.com/companies/impact-drones/jobs/yVR7VxO-autonomy-engineer-interceptor-drones", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$110K - $160K", "equity_range": "0.25% - 0.45%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "C++", "Python", "Computer Vision", "Embedded Linux" ] } ], "news": [ { "title": "Impact launches Air Defense as a Service: autonomous interceptor drones in a sealed box, deployed at the sites drones are already hitting - EDR Magazine", "url": "https://www.edrmagazine.eu/impact-launches-air-defense-as-a-service-autonomous-interceptor-drones-in-a-sealed-box-deployed-at-the-sites-drones-are-already-hitting", "date": "Aug 17, 2026" }, { "title": "Y Combinator-backed Impact Drones to offer missile-intercepting drone service for data centers and grid operators - DCD", "url": "https://www.datacenterdynamics.com/en/news/y-combinator-backed-impact-drones-launches-offers-missile-intercepting-drone-service-for-data-centers-and-grid-operators/", "date": "Aug 17, 2026" }, { "title": "Impact Launches Air Defense As Service Using Drone Interceptors | Aviation Week", "url": "https://aviationweek.com/aerospace/advanced-air-mobility/impact-launches-air-defense-service-using-drone-interceptors", "date": "Aug 17, 2026" }, { "title": "Impact Drones launches autonomous “air defence as a service” for critical infrastructure - Unmanned airspace", "url": "https://www.unmannedairspace.info/counter-uas-systems-and-policies/impact-drones-launches-autonomous-air-defence-as-a-service-for-critical-infrastructure/", "date": "Aug 06, 2026" } ], "launches": [ { "id": 108922, "title": "Impact Drones: Air Defense as a Service for Civilian Infrastructure", "tagline": "Containerized drone interception for airports, ports, data centers and power plants.", "body": "# \n\nWe build containerized cells of autonomous interceptors that protect critical civilian infrastructure from hostile drones. Park the cell next to anything you need to keep running: it detects an incoming threat, launches and physically neutralizes the incoming aerial threat. [www.impact-drones.com](http://www.impact-drones.com)\n\n**OUR LAUNCH VIDEO**\n\n\n\n**TL;DR:** Half this batch is building AI agents. Your agents live in data centers. And these sites are now under threat. In March, drones took three AWS data centers offline in the Middle East and a dozen core cloud services with them. **Amazon lost 200 million USD in one day.** We sell a box you put next to anything you'd rather keep: an interceptor pierces its own lid, and the threat stops existing. We'll keep your agents running.\n\n**Why now:** The drone threat went industrial and air defense math didn't.\n\n**A single patriot missile costs more than 1m USD to shoot down a drone worth 30k USD.** Critical infrastructure needs a defense system that can be deployed at scale without losing the cost-per-interception battle.\n\n**What we're building:** a cell holding autonomous interceptors, always charged, always ready for when a threat arises. Unlike jamming, our system physically intercepts the threat. Unlike conventional air-defense systems, it is designed specifically for protecting civilian infrastructure affordably and at scale.\n\n**Why us:** two founders who ship hardware fast.\n\n[@Jasper Lortije](https://bookface.ycombinator.com/user/3245067): aerospace engineer (MSc at TU Delft), previously founded a Dutch company building GNSS-denied visual navigation for autonomous systems.\n\n[@Alessandro Fiume](https://bookface.ycombinator.com/user/3677968): sales and operations, ex Bloomberg, MSBA at Columbia.\n\n**Our ask:** intros to the people who own the airspace problem: data center security and infrastructure leads (hyperscalers and neoclouds especially, your uptime now has an air defense dependency), airport operations directors, and energy grid security teams. And if you're building agents: we're literally your uptime insurance, come say hi. [jasper@impact-drones.com](mailto:jasper@impact-drones.com) & [alessandro@impact-drones.com](mailto:alessandro@impact-drones.com)", "url": "https://www.ycombinator.com/launches/SKo-impact-drones-air-defense-as-a-service-for-civilian-infrastructure", "votes": 21, "created_at": "2026-08-04T18:02:22.616Z" } ] }, { "id": 32192, "name": "Rise Reforming", "slug": "rise-reforming", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b908857ac82ef0d2a3b793f89fa198298587f8a.png", "website": "https://rise-reforming.com/home", "all_locations": "Chicago, IL, USA", "long_description": "Geopolitical conflicts and natural disasters frequently expose the vulnerability of the American chemical industry. The reason? Production is centralized and fossil fuel-dependent. The solution? Localized production using an undervalued resource: biogas. The US produces enough biogas to make over $20 bn/y worth of chemicals, but 60% is wasted in low-margin applications or flared altogether.\r\n\r\nRise Reforming is commercializing a modular process to transform this underutilized biogas on-site into cheap, supply-secure chemicals. Our beachhead market is dimethyl ether (DME), used as an aerosol propellant and a low-carbon fuel additive in propane. Our target market is methanol: an established billion $ chemical and the future of low-carbon shipping.\r\n\r\nWe're doing our pilot project at a Chicagoland wastewater plant. This will be the first wastewater biogas-to-methanol demo in the Americas.\r\n\r\nWe're hiring for a senior chemical process engineer. Apply here: https://www.ycombinator.com/companies/rise-reforming/jobs/wJ9Q9nv-senior-chemical-process-engineer", "one_liner": "We turn waste gases into supply-secure chemicals ", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1783464355, "tags": [ "Hard Tech", "Smart Waste Management", "Alternative Fuels", "Renewable Energy", "ClimateTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Climate" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rise-reforming", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/rise-reforming.json", "year_founded": 2024, "city": "Chicago", "country": "US", "linkedin_url": "https://www.linkedin.com/company/risereforming", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b908857ac82ef0d2a3b793f89fa198298587f8a.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": 3646927, "full_name": "George Rose", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO at Rise Reforming (S26). Previously @ Nexamp, Highland Electric Fleets, Mantel Capture, GenH. Background in Molecular Engineering @ UChicago.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/george-rose25/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ee413aabedd5216b24ad28029e4413061ab156fa.jpg" }, { "user_id": 3620299, "full_name": "Lucas Zubillaga", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO at Rise Reforming (S26). Double B.Sc. in Molecular Engineering and Physics from the University of Chicago. Prev: nuclear waste management at Argonne National Laboratory, offshore wind at Avangrid/Iberdrola.\n\nLed the design, procurement, construction, and operation of a bench-scale reforming unit with controls. \n\nAlso have a Spotify playlist with 200k+ saves. Check it out at: https://open.spotify.com/playlist/3rV2gyEKHxixpKa3IDQLvF?si=3458c33e03e84738&nd=1&dlsi=d0006826be884d", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucaszubillagamaharg/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/209b2a1f6985cd73931fc7cb16aa2a3bb8462a42.jpg" }, { "user_id": 3610381, "full_name": "Jona van Oord", "title": "Founder/COO", "founder_bio": "Environmentalist turned engineer. Plan on spending the rest of my life building hardware to address the climate disaster :)\n\nCo-Founder and COO @ Rise Reforming (S26), Molecular Engineering @ UChicago", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jonavanoord/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e79cd2c8431a00a358ef4d9b12c2ee2e95e79849.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 105232, "title": "Rise Reforming: distributed chemical production", "tagline": "We turn waste gases into valuable supply-secure chemicals.", "body": "Geopolitical conflicts and natural disasters frequently expose the vulnerability of the American chemical industry. The reason? Production is centralized and fossil fuel-dependent. The solution? Localized production using an undervalued resource: biogas. The US produces enough biogas to make over $20 bn/y worth of chemicals, but 60% is wasted in low-margin applications or flared altogether.\n\nRise Reforming is commercializing a modular process to transform this underutilized biogas into valuable supply-secure chemicals like dimethyl ether (DME) and methanol. Our technology can be deployed on-site, helping biogas producers properly valorize their gas.\n\nWe've just broken ground on our pilot project at a Chicagoland wastewater plant. This will be the first wastewater biogas-to-methanol demo in the Americas.\n\nRise Reforming is hiring for a senior chemical process engineer. Apply here: \n\nVideo: \n\n![uploaded image](/media/?type=post&id=105232&key=user_uploads/3620299/89d6b5de-3729-4019-a87f-0fe27a549152)\n\n![uploaded image](/media/?type=post&id=105232&key=user_uploads/3620299/b4ac7aec-afea-4a96-9174-ae6202812c2f)\n\n", "url": "https://www.ycombinator.com/launches/RNI-rise-reforming-distributed-chemical-production", "votes": 5, "created_at": "2026-07-13T14:13:24.467Z" } ] }, { "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": 32233, "name": "Exosat", "slug": "exosat", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c71c0447005f2a40e7e7610af283842dbce65e39.png", "website": "https://www.exosat.com", "all_locations": "San Francisco, CA, USA", "long_description": "Exosat is building thousands of low-cost communication satellites to provide a neutral, sovereign alternative to Starlink. By designing our satellites with zero ITAR/EAR-controlled content, we can leverage manufacturers anywhere in the world to produce our satellites at under a tenth of the cost and launch them from other nations to bypass capacity bottlenecks and access equatorial orbits. \r\n\r\nWe're starting off by selling connectivity to device OEMs and network operators, but will eventually use the distributed compute across our constellation to run low-latency inference for robots and autonomous vehicles in remote and rural areas anywhere on the planet.\r\n\r\nWe've already signed hundreds of millions in LOIs to work with operators across Central Asia, Southeast Asia, and the Middle East, booked our first satellite launch next year, and hold an 11,000 satellite filing with the ITU to build the largest comms network outside of the U.S. and China.", "one_liner": "Building a neutral, sovereign alternative to Starlink", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1786056981, "tags": [ "Space Exploration", "Satellites", "Aerospace", "Telecommunications", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "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": null, "url": "https://www.ycombinator.com/companies/exosat", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/exosat.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/exosatorbit/", "x_url": "https://x.com/Exosat_", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c71c0447005f2a40e7e7610af283842dbce65e39.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": 689300, "full_name": "Edward Ge", "title": "Founder/CEO", "founder_bio": "Founder @ Exosat. 2x space-tech founder. Previously co-founded Aethero building radiation-hardened GPUs for edge computing and satellite autonomy. Launched 2 satellites (including the first Nvidia Orin in orbit and another one in partnership with Booz Allen Hamilton). Grew it to millions in revenue from big primes like Blue Origin and AFRL.\n\nBuilt CubeSats and high-powered rockets since high school. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edwardge9/", "x_url": "https://x.com/EdwardGe", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2ceae5edec26bbe78bb8df0aabb142b12e6e4cf9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109889, "title": "Exosat — Building a sovereign Starlink", "tagline": "Building thousands of low-cost communication satellites as a neutral, sovereign alternative to Starlink. We launch the first one next April.", "body": "**TL;DR: Exosat is building a sovereign alternative to Starlink with thousands of low-cost satellites. We’ve booked our first launch next April and signed hundreds of millions in LOIs with customers across six nations. We’re looking to connect with operators interested in sovereign networks and AI infrastructure. Email us: [founders@exosat.com](mailto:founders@exosat.com)**\n\nExosat is building thousands of low-cost communication satellites to provide a neutral, sovereign alternative to Starlink. \n\nWe launch our first satellite **next April**, have signed **$400M in LOIs** with customers across 6 nations, and hold an ITU filing for 11,000 satellites to build the largest comms network outside of the United States and China.\n\n[Video](https://youtu.be/aABRZfcYAFQ)\n\n### **⏰ Problem**\n\nNations and enterprises are wary about depending on Starlink.\n\nThese concerns aren’t without merit. In 2022, Starlink access was suddenly cut to stop a Ukrainian counteroffensive. As a result, nations have realized that a foreign superpower owning your satellites makes you ultimately dependent on their continued permission to access it.\n\nIn Europe, telecoms are warning about the danger of relying on foreign-owned AI and satellite infrastructure:\n\n![uploaded image](/media/?type=post&id=109889&key=user_uploads/689300/9dc3272a-bf85-4710-ad4d-e4592100ca1e)\n\nIn Indonesia, telecoms are lobbying for a Starlink ban:\n\n![uploaded image](/media/?type=post&id=109889&key=user_uploads/689300/5596ba12-4d01-4acd-b11c-8b1e777bb663)\n\nIn India, Starlink rollout has been delayed due to security concerns:\n\n![uploaded image](/media/?type=post&id=109889&key=user_uploads/689300/e4e7cd9a-e67d-42f8-bd8a-c1a78a0f4034)\n\nAnd even nations like Canada are moving off of dependence on American space infrastructure:\n\n![uploaded image](/media/?type=post&id=109889&key=user_uploads/689300/b73fbed9-3742-4105-8a86-de42843dbd1b)\n\nBut even if they don’t trust Starlink, that doesn’t mean they necessarily trust constellations like Qianfan or Guowang that are owned and operated by Chinese state enterprises.\n\nHowever, other alternatives outside of the U.S. and China face years of delay or need millions of dollars just to build a single satellite, which leaves hundreds of millions people still without reliable connectivity. \n\n### **🛰️ Our Solution**\n\nExosat fixes this problem by building thousands of satellites at a tenth of the usual cost.\n\nWe focus entirely on civil and commercial customers outside of the United States or China and fly our satellites in lower orbits versus incumbents like AST and Iridium, enabling us to take advantage of better link budgets, faster latency, and a milder radiation environment.\n\nThese factors let us use global manufacturing hubs or local partners to build our satellites using automotive-grade parts and **zero** ITAR/EAR-controlled supply chains, enabling us to seamlessly launch from other nations to bypass capacity bottlenecks and access equatorial orbits.\n\nAs a result, we can deploy a communications satellite with a 3-5 year lifespan for **\\~$300k instead of $5M** and in days instead of months, enabling us to manufacture and deploy a mega-constellation at near cost-parity to Starlink.\n\n**Our thesis is simple: we’re building a satellite at <10% of the cost to dominate 80% of the market instead of going after everyone.**\n\n### **👋 About Us**\n\nI’m a second-time space founder who previously built Aethero, a company developing satellite edge computers. We scaled to millions of dollars in revenue from defense primes like Blue Origin and Booz Allen Hamilton, won multiple SBIR awards, launched two satellites to orbit, and did radiation research on GPUs with the Aerospace Corporation and AFRL.\n\nI started Exosat and moved to Singapore because I think a future where SpaceX and China monopolize the space economy is a bleak one. I’m willing to go for broke, and put down the deposit for our first launch slot next year with my own money.\n\n### **📈 What have we done?**\n\nSince starting out this summer, we’ve:\n\n* **Booked our first launch** for next April, with early pilots underway to start initial commercial service for satellite IoT no later than the end of 2028.\n* **Added $400M+ in LOIs** from early customers across Southeast Asia, the Middle East, and Central Asia to either lease future network capacity from our dedicated constellation or build and launch their own sovereign networks with our satellites.\n* **Published ITU filings to build an 11,000 satellite constellation** to build the biggest satellite network outside of the United States and China.\n\n![uploaded image](/media/?type=post&id=109889&key=user_uploads/689300/2420ddf1-1da9-4f74-b6ef-15dd51f24eb2)\n\n### **🙏 Our Ask**\n\nIf any of these describe you or your organization, we'd love to talk:\n\n* Network operators interested in space-based capacity\n* National space agencies interested in sovereign space capabilities\n* Industrial users in maritime, energy, mining, logistics, who rely on satellites for tasks such as AIS or remote connectivity\n* OEMs producing satellite-connected devices and gateways\n\n👉 Reach us at [info@exosat.com](mailto:info@exosat.com)\n\n**Fun fact:** We’re the first YC space company to be based in Asia.", "url": "https://www.ycombinator.com/launches/SaP-exosat-building-a-sovereign-starlink", "votes": 29, "created_at": "2026-08-10T20:30:00.246Z" } ] }, { "id": 32260, "name": "Manifold", "slug": "manifold-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/98f03122e41743439cec57f8152eac9cd506d714.png", "website": "https://www.manifoldindustries.ai/", "all_locations": "Los Angeles, CA, USA", "long_description": "The US Warehouse industry spends $75bn on labor each year. Yet, only 10% of US warehouses have any form of automation, because existing robotics are too expensive and hard to integrate. \r\n\r\nManifold deploys autonomous robots that handle picking, loading / unloading, and palletizing — priced by pick. Integration in hours. No upfront costs. No retrofitting. No need to rebuild the operation around the robot. \r\n\r\nOur mission is to make it easy for any warehouse to adopt robotics.", "one_liner": "Drop-in robotic labor that works on Day 1", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1784541343, "tags": [ "Hardware", "Warehouse Management Tech", "Robotics", "Logistics", "Supply Chain" ], "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": true, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/manifold-2", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/manifold-2.json", "year_founded": 2026, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/manifoldindustries", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/98f03122e41743439cec57f8152eac9cd506d714.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/32318/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAOYE2QNZ5%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022739Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJIMEYCIQDZr7mht6VpZroejzIM4ovdqqWjmh9u8AZ4wJ%2BcxZeHaQIhAN0TyP1C5dfPpTpdf3vcwz%2B044IBUbnJ55rbsOHYRWQWKuUDCDoQABoMMDA2MjAxODExMDcyIgxycpAO09Mq3A1cvyQqwgN39qg2Ox70YWArW8Z19bx1LbIV2O3f8r7xSc%2BDpl3XtmT02s9DHm%2FdyEMimOoBk5McFrR%2FThfgO9h1Zcmt1NqN1y6d1lWIsDAdluAWIqXM089dX1KVjFmsSwg8hWS2%2F4ysZFTLuD5VBUHeANJPyfmRKN9Kb4JepbPSE01eipdz4aqPxRqz%2FVUJEYLUTh5YJM6jJKNzl5l2mnWSSFiFdUfT5OS16LHDCYH4PGt9WRY2iseRxMu7FZcICWM0P8aN14WLxKsu1H0yVxk8LS%2BNbXezGhQnkMsa3bf7aMNU7x4TSs7KyM01QgiCZxC01YV43U4O8vFENPThr%2FHtKaAvtZ0%2BXSTwUE691O8mG15thNVkorInjIhilxdazy%2BzEYcGsAMNZtfx0Bd5Xn43Xf7b%2Fie4vv0d0RCHqbCGLmxRHj5VG3Pdta5Kju3%2Fpb8n%2FKmRjY%2FtuIfi9oTYAjc4PVyikHTm8UXURiHmaM0tqXZjxyh0iIponEKehSmtjmjudiXLWICFBoPhEXeaUeyK2AT6btvH4fclsQa0qRmkxdgguiWvrYxLKhNNfPLTc5QA0jlPSRoDJ%2F%2BxNHLFrGusOX7IwU6hfRMw6P3a1gY6pAETos2BWzWJY973oh8s1gy0zFzSYQP7N%2B39nIjIA7I0ymOVnRNJktoZRF6GV9DH3ymBPT2fnMgKvEaFAqVR%2F0WVwXz3ixgSwFGrvlwPr39cuFnKBEcdnivQJOXkexjqUxi9alVn76GV8ONTXD1ZupAQeLYI09gLaaAmJlyJPRAUCybD64XlECdPqS2TV2e%2FZlA5duJD1GekpDGthoc0y8PIc1ahwA%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=42ea8e2882267580076ab7c55512b80c4f199c59a9ac3a17a1898ff3c4ae9bc2", "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 3169788, "full_name": "Nicolas Yeh", "title": "Founder/CEO", "founder_bio": "Founder at Manifold. Grew up in a 3rd-gen supply chain family business (major consumer products supplier to US retailers). Previously at Balyasny Asset Management covering analog semiconductors ($1B+ book). Before that, Hotel Acquisitions at Starwood Capital Group, where he sourced a $60M hotel sale and was sole analyst responsible for asset management of Extended Stay America ($7.6B JV with Blackstone). BA from UPenn.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nicolas-yeh/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b04b9f9fd580701776cb120a1b47e822cd2f803.jpg" }, { "user_id": 3614218, "full_name": "Joshua Ibrahim", "title": "Founder/CTO", "founder_bio": "Founder at Manifold. PhD in Applied Mathematics from Caltech. Previously Software Engineering Intern at Facebook, working on Messenger P2P services and Instagram's misinformation detection systems. MS and BS in Electrical and Systems Engineering from Penn.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joshibrahim/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2290e4ffd9df33d56490b230a84f5929381117ae.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 112000, "title": "Manifold - Robotic labor for the supply chain industry", "tagline": "Robotic labor for the supply chain industry", "body": "**What if you could hire a robot the same way you hire a temp worker?** \n\nNick grew up working in his family’s 3rd-generation distribution business, where he saw firsthand how much warehouses still depend on manual labor. The obvious answer should have been robotics, but for true labor replacement, existing robots were too expensive, inflexible, and difficult to deploy. As a result, most warehouses still say they’re “not ready” for automation.\n\nNick came together with his best friend Josh, a fellow UPenn alum and PhD at Caltech specializing in safety-critical control for robotics, to solve this problem.\n\nManifold is building robotic labor for the supply chain industry. Its robots perform picking jobs from start to finish faster than humans, with no upfront cost or infrastructure changes. Customers simply pay per pick, at a cost below human labor.\n\nThey’re already deploying robots to perform more than **5 million picks across multiple warehouses.**\n\nIf you’re a warehouse operator, reach out to [nick@manifoldindustries.ai](mailto:nick@manifoldindustries.ai)\n\n", "url": "https://www.ycombinator.com/launches/T8S-manifold-robotic-labor-for-the-supply-chain-industry", "votes": 4, "created_at": "2026-08-24T18:00:00.769Z" } ] }, { "id": 32518, "name": "Agency Tool Company", "slug": "agency-tool-company", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/244ddf9b0965c4c601170d71dd660ad1a89f8792.png", "website": "https://agencytool.com", "all_locations": "Denver, CO, USA", "long_description": "Agency Tool Company ships software to robots in the field 20x faster than a Docker pull with ATC Deploy, sending only the bytes that changed and resuming when the network drops. Deployment tooling is the connection between the lab & the field that continually bottlenecks robotics scaling and lacks a strong robotics-native solution. Deploy is live today with 3 launch partners across ag, construction, and logistics robotics.\r\n\r\nOur second product, ATC Build, offers embedded-compute as a CI service so devs can run tests and validate their software on the actual target hardware. Build supports the Nvidia Jetson lineup, Raspberry Pi, and a number of other embedded platform targets.\r\n\r\nJack Morrison and Davis Foster founded and sold Scythe Robotics after deploying hundreds of autonomous mowers across the country; Agency Tool Company is building the robotics deployment platform across hardware and software they wish they had.\r\n\r\nLearn more at https://agencytool.com", "one_liner": "Reliable infrastructure to build, deploy and manage real-world robots.", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1784914207, "tags": [ "Developer Tools", "Robotics", "Automation", "Infrastructure", "Self-Driving Vehicles" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/agency-tool-company", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/agency-tool-company.json", "year_founded": 2026, "city": "Denver", "country": "US", "linkedin_url": "https://www.linkedin.com/company/agency-tool-company", "x_url": "https://x.com/agencytoolco", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/244ddf9b0965c4c601170d71dd660ad1a89f8792.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 3668961, "full_name": "Jack Morrison", "title": "Founder/CEO", "founder_bio": "Founder and CEO at Agency Tool Company. Previously founder/CEO at Scythe Robotics, building autonomous electric outdoor equipment from 2018-2026 and successfully exiting to ASI. Earlier co-founded Replica Labs (mobile 3D scanning) and worked as a computer vision engineer at Occipital on the Structure Sensor. BA Computer Science from Bowdoin.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/morrisonjack/", "x_url": "https://x.com/jackmorrison", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/13172ea12c502ccffb1824b2ef8e356abeabdfae.jpg" }, { "user_id": 253511, "full_name": "Davis Foster", "title": "Founder", "founder_bio": "Founder at Agency Tool Company - making it easier to scale robots. Previously co-founded Scythe Robotics ('18-26), made autonomous commercial mowers, acquired by ASI in 2026. Built and shipped hundreds of robots still operating across the country. Thiel Fellow.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/davisfoster", "x_url": "https://x.com/davistfoster", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b4566280f9b3ba7c4ea23beb319e78fbf6db999.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 107934, "title": "Agency Tool Company: The build and deployment platform for robotics", "tagline": "Field Robots Faster with ATC Deploy", "body": "Today we're sharing Agency Tool Company and our first product, ATC Deploy: a faster, more reliable way to ship software to robots wherever they are. It moves updates up to 20 times faster than docker pull or scp and works with any software stack already in use.\n\n\n\n## The updates that took until 2 a.m.\n\nDavis and I spent eight years building Scythe Robotics and putting hundreds of autonomous mowers to work across the country. For years, we deployed software with a tool I'd cobbled together for our first few robots. As the fleet grew, deployment became an ordeal: engineers stayed up until 2 a.m., we coordinated with customers to move robots out of sheds and into LTE coverage at set times, and failed transfers restarted from zero. Shipping a fix could take more coordination than building it. We had models to train and customers to serve, so the tooling limped along with incremental bandaids.\n\nWe've since heard the same story from robotics teams across industries. That deployment becomes a hidden bottleneck: teams become release-averse, feedback loops slow and improvements stall. Stitched-together web and IoT tools barely work if you know which scripts to run and who to call, so they survive, even if it means every update is distracting from improving the product.\n\n## What we built\n\nATC Deploy ships whatever you already run: OS images, Docker images, or any file tree. Run “atc ota push user@robot”, and it sends only the changed bytes, then restarts your software through hooks you define—way faster than a docker push.\n\nInstall takes one “curl | sh” command and a config file so you can get back to work fast. Interrupted transfers resume where they stopped, and an offline robot can receive updates by USB if you need. There's no new runtime, packaging format, or operating system to adopt.\n\n## Shipping to robots today\n\nATC Deploy already ships software to robots at Burro, which has deployed more than 750 machines worldwide, Tempo, polishing concrete across several US states and Canada, and Gather, who is scaling their 99.9% accurate inventory drones nationwide. Their teams spend less time managing delivery and more time improving the robot.\n\n**Operate a robot fleet? Join the ATC Deploy waitlist at [agencytool.com](https://agencytool.com/).** Know a team that should be using it? Send them this post, or to [mailbox@agencytool.com](mailto:mailbox@agencytool.com).\n\nIt's time to build robots.\n\n![uploaded image](/media/?type=post&id=107934&key=user_uploads/253511/2f53d874-b652-4819-b734-bd52256958d8)\n\n", "url": "https://www.ycombinator.com/launches/S4s-agency-tool-company-the-build-and-deployment-platform-for-robotics", "votes": 6, "created_at": "2026-07-28T15:54:16.451Z" } ] }, { "id": 32521, "name": "Molagri", "slug": "molagri", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/71eba8e2b8b0a262e4c76ef41e5ab46b59552e6d.png", "website": "https://molagri.com", "all_locations": "Toronto, ON, Canada", "long_description": "Molagri develops safer, more effective pesticides for agriculture.\r\n\r\nWe design biopesticides that hit a precise molecular target unique to pest insects, knocking out pests while sparing pollinators, beneficial insects, and the wider ecosystem. By modeling how pests are likely to evolve, we stay a step ahead of resistance, keeping our products effective against the pests of today and tomorrow. The higher efficacy and biobased production will also contribute to emissions reductions in both manufacturing and field use.\r\n\r\nOur founders are PhD lab mates from the University of Toronto who have worked together for six years and published in Nature Communications and Nature Microbiology. \r\n", "one_liner": "Resistance free pesticides.", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Agriculture", "launched_at": 1782770010, "tags": [ "Synthetic Biology", "Biotech", "Sustainability", "Climate", "Agriculture" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Agriculture" ], "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/molagri", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/molagri.json", "year_founded": 2026, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/molagri", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/71eba8e2b8b0a262e4c76ef41e5ab46b59552e6d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2273508, "full_name": "Zaky Hassan", "title": "Founder/CEO", "founder_bio": "Zaky is a protein biochemist and viral structural biologist who has characterized mechanisms of antibody neutralization in human pathogenic coronaviruses. He has an undergraduate degree in Biochemistry (Honours BSc) and graduate training in Biochemistry (PhD candidate) from the University of Toronto. He was awarded $130K+ in fellowships, and published twice in Nature Communications. Zaky previously founded a non-profit, raised $1M+ in grants and operated programming for 1000+ youth in Toronto. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zaky-hassan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a0a2d10fb8eb3af2c5ae7e66b5bcd91e9c0fa244.jpg" }, { "user_id": 3659967, "full_name": "Min Jin", "title": "Founder/CSO", "founder_bio": "Min is a viral structural biologist and protein biochemist, and the current world record holder for the highest resolution structure of a coronavirus spike protein in the Protein Data Bank (1.68 Å). She has an undergraduate degree in Biophysics (Honours BSc) and graduate training in Biochemistry (PhD candidate) from the University of Toronto and she has published in Nature Microbiology and Nature Communications. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/min-jin-ca/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/42b06f5f78332c243bd0f7ed0a6865ddf972d2be.jpg" } ], "jobs": [ { "id": 114656, "title": "Scientist / Senior Scientist, Synthetic Virology for RNA Delivery", "url": "https://www.ycombinator.com/companies/molagri/jobs/HdOJVZM-scientist-senior-scientist-synthetic-virology-for-rna-delivery", "location": "Toronto, ON, CA", "type": "Full-time", "role": "Science", "role_type": "Biotechnology", "salary_range": "$130K - $160K CAD", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 114689, "title": "Scientist / Senior Scientist, Insect Biology and Bioassays", "url": "https://www.ycombinator.com/companies/molagri/jobs/zvbnS35-scientist-senior-scientist-insect-biology-and-bioassays", "location": "Toronto, ON, CA", "type": "Full-time", "role": "Science", "role_type": "Biotechnology", "salary_range": "$130K - $160K CAD", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 114690, "title": "Sr. Research Associate, Yeast Expression and VLP Production", "url": "https://www.ycombinator.com/companies/molagri/jobs/YZjWSPT-sr-research-associate-yeast-expression-and-vlp-production", "location": "Toronto, ON, CA", "type": "Full-time", "role": "Science", "role_type": "Biotechnology", "salary_range": "$85K - $105K CAD", "equity_range": "0.25% - 0.50%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 116349, "title": "Scientist / Senior Scientist, Molecular Display and Binder Discovery", "url": "https://www.ycombinator.com/companies/molagri/jobs/qHL3N9N-scientist-senior-scientist-molecular-display-and-binder-discovery", "location": "Toronto, ON, CA", "type": "Full-time", "role": "Science", "role_type": "Biology", "salary_range": "$130K - $160K CAD", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "Molagri raises $5.8m to build ‘updatable’ biopesticides", "url": "https://agfundernews.com/molagri-raises-5-8m-to-build-updatable-biopesticides", "date": "Oct 14, 2026" }, { "title": "Molagri wants to design a pesticide that evolves as quickly as pests | BetaKit", "url": "https://betakit.com/molagri-wants-to-design-a-pesticide-that-evolves-as-quickly-as-pests/", "date": "Sep 04, 2026" } ], "launches": [ { "id": 108796, "title": "Molagri: Resistance-free pesticides 🪲", "tagline": "Species-specific biopesticides built from engineered insect viruses, updatable the moment pests develop resistance.", "body": "**TLDR:** We build next-generation pesticides from engineered insect virus-like particles. They target a single pest species, stay safe for humans, pollinators, and the environment, and can be reprogrammed over time as pests evolve resistance.\n\nPesticides underpin modern agriculture and food security, accounting for $80B in annual spend. Without effective pesticides, we can't grow enough food.\n\n\n\n**The Problem 🌱**\n\nPests are developing resistance faster than new pesticides can be invented to replace the failing ones. At the same time, regulators are banning core active ingredients over environmental and human toxicity. Farmers are losing tools from both ends at once.\n\n**Our Solution 🪲**\n\nWe build pesticides out of insect virus-like particles. We start with a virus that only infects insects and is harmless to humans. We strip out its genome so it can't infect or replicate, and we keep the empty protein shell as a delivery vehicle.\n\nWe engineer that shell with two parts:\n\n* A **targeting element** that recognizes a single pest species (or a set of species). This is what keeps the product species-specific and invisible to humans, pollinators, and beneficial insects.\n* A **payload** that kills the pest.\n\nBoth parts are swappable. Changing the targeting element will modify which pest it kills. Changing the payload will result in a new kill mechanism for the same pest, which is how we update the product when resistance appears.\n\nDesigning for true pollinator safety is hard, so we did the underlying science ourselves. We solved a cryo-EM structure of a key receptor in honey bees, which lets us deliberately engineer our targeting elements so they do not bind pollinators.\n\n![uploaded image](/media/?type=post&id=108796&key=user_uploads/2273508/62f4362a-1938-4843-ab26-c9a62c742a84)\n\n**Why Us? 🧑🏽‍🔬**\n\nWe are Zaky and Min, viral structural biology PhD candidates and lab mates at the University of Toronto, where we have worked together for the past 6 years studying how viruses interact with their hosts. We have published in Nature Microbiology and Nature Communications, and Min holds the world record for the highest-resolution structure of a coronavirus spike protein.\n\n**Traction 📈**\n\nWe have signed our first grower LOI, have more in the pipeline, and produced our first set of viruses for testing. During the batch we also solved a cryo-EM structure of a honey-bee receptor that directly informs our pollinator-safe design.\n\n**Connect with us!**\n\n* **Growers and producers**: if you are fighting resistant pests or losing tools to bans, we would love to talk about your crops and target pests. Reach us at [molagri.com](http://molagri.com) \n* **Everyone else:** intros to ag and crop-science operators, or anyone who has built regulated biological products, are always welcome.", "url": "https://www.ycombinator.com/launches/SIm-molagri-resistance-free-pesticides", "votes": 15, "created_at": "2026-08-03T18:35:06.582Z" } ] }, { "id": 32552, "name": "6thSense", "slug": "6thsense", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/24cb943ce2196a35afe2b7d03f61eab2d4ec937a.png", "website": "https://6thsense.dev", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Nervous System for Physical AI", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1782449364, "tags": [ "Robotics" ], "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/6thsense", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/6thsense.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/6thsenseai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/24cb943ce2196a35afe2b7d03f61eab2d4ec937a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e4fdc2d7bcabc67030a4042e4ff79a3d9e187aea.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 3429291, "full_name": "James Baek", "title": "Founder/CEO", "founder_bio": "Founder & CEO at 6thSense. Founding member at Ibebu (Series C). Security Specialist, US Army (USFK). Exited a six figure content creation business and built numerous faceless brands. BME & Biochem at Georgia Tech. Growth Hacker\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/james-baek1/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1cb03c9cf75088d5d10002833f9baf36b05998c2.jpg" }, { "user_id": 1407900, "full_name": "Ronak Agarwal", "title": "Founder/CTO", "founder_bio": "Founder & CTO at 6thSense. ML at Amazon. Production infrastructure at DoorDash. Built autonomous drone delivery at Chick-fil-A. Built several startups before 6thSense, including Qard. Georgia Tech CS & Economics graduate (Intelligence + Modeling & Simulation); left a CS master's in Data Science & Systems Architecture. AI/ML & Systems Builder.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ronak-agarwal9", "x_url": "https://x.com/ronakgt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/338442a428cd26e2dd42028368b6924295dff73a.jpg" }, { "user_id": 3367434, "full_name": "Alex Hyungwoo Noh", "title": "Founder/COO", "founder_bio": "Founder at 6thSense. Bio/ML scholarship from Samsung at age of 17. UChicago CS/Econ. Ex-Army Recon. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hyungwoonoh/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f41a76394905402b8f244c67a750e1792d0e33dd.jpg" }, { "user_id": 2055952, "full_name": "Matt Wulff", "title": "Founder/CPO", "founder_bio": "Co-Founder of 6thSense (YC S26). Lead Vision Guided Robotics (ME) @Tesla at 20yo, Homeschooled, First Company at 16yo, Build Rockets for fun, Lead Tactile Data Capture at Mecka AI, Dreamer and adrenaline junky", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/makeitmatto/", "x_url": "https://x.com/makeitmatto", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1fce472f4227cba7507f4caf1b2de54916ed016b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 104007, "title": "6thSense — Giving Robots Touch", "tagline": "Giving Robots Touch", "body": "6thSense builds wearable tactile sensing rigs that capture how human hands interact with the world — pressure, contact, grip, and pose — across touch, vision, depth, force, and 3D hand pose, all in real environments. We sell that multimodal data to the companies training the next generation of dexterous robots.\\\n\\\n\n\nRobots are getting good at seeing. They're still terrible at touching. That's because there's almost no data capturing what a hand actually feels while doing real tasks in real homes. Lab data doesn't cut it. We go anywhere and capture the missing layer that manipulation models need to learn fine motor control.\n\nWhat makes our data different is the hardware we built to collect it. Our tactile sensing devices are designed and manufactured in-house, purpose-built to capture the richest touch signal in the industry — with scale in mind from the very beginning, enabling us to actually solve the tactile data problem. Every sensor maps directly to how robotic skin needs to work: a 1-to-1 analog for the tactile arrays going into the next generation of robot hands. That means the data we collect today doesn't just train better policies. It transfers directly to the hardware it's meant to run on. The team comes from Tesla, Mecka, Samsung, DoorDash, and Amazon, with expertise across hardware, sensors, ML, robotics, and software at scale. If you're training a manipulation policy or need custom tactile data, reach out.", "url": "https://www.ycombinator.com/launches/R3X-6thsense-giving-robots-touch", "votes": 7, "created_at": "2026-07-05T16:58:56.478Z" } ] }, { "id": 32553, "name": "Nori", "slug": "noril1", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4b7cc06bfd9d08d6eae3bc20eca8c056f893bf8b.png", "website": "http://norirobotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "We manufacture Nori: A sub-$2000 bimanual mobile manipulator that can clean rooms, restock shelves, and fold clothes. Nori can handle basic tasks out of the box, and its software lets anyone teach Nori to automate work specific to their home or business. \r\n\r\nNori aims to solve the robotics data bottleneck. By deploying affordable robots to customers around the world, we can gather the diverse data required to train the next generation of generalist robotic policies. Every user of Nori makes Nori smarter.\r\n\r\nSince launching 6 weeks ago we have already deployed our first robot and have over $440k+ in sales.\r\n\r\nWe can bring general-purpose robotics to homes and businesses that could never afford it before. There are 132.7 million households and 8.4 million employer business locations in the U.S. At $1,688 per robot, selling just one Nori to 0.5% of them represents a $1.2B market opportunity in the U.S. alone. ", "one_liner": "The most capable American-made humanoid robot for $1,688", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1783099451, "tags": [ "Hard Tech", "Hardware", "Robotics" ], "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": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Robots are finally capable enough to be useful, but they're priced like cars, not appliances. A capable humanoid costs $20,000+, so general-purpose robots stay in labs and pilots instead of homes. \r\n\r\nIt's a big problem because household labor is one of the largest unpriced markets in the world. Today's answer is a stack of single-task machines, a dishwasher, a washer, a vacuum, each $600 to $1,000 and doing exactly one thing. Whoever ships a general-purpose robot at appliance prices doesn't win a niche, they open consumer robotics the way the PC opened computing.\r\n\r\nWe're robotics researchers from Columbia (RoboPIL, CGUI). After years watching \\[$100K research robots struggle with tasks cheap hardware could handle\\], we realized the gap between lab robots and home robots isn't intelligence, it's cost discipline. Nobody was going to fix that from inside a lab, so we left to build it: a $1,688 robot anyone can teach." } ], "url": "https://www.ycombinator.com/companies/noril1", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/noril1.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/norirobotics/", "x_url": "https://x.com/NoriRobotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4b7cc06bfd9d08d6eae3bc20eca8c056f893bf8b.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": 2661900, "full_name": "Antonio Sitong Li", "title": "Founder/CTO", "founder_bio": "Antonio is the founder of Nori Robotics. He studied Computer Science and Architecture at Columbia, where he held research fellowships with the Laidlaw Scholars Program, the Data Science Institute, and the Graphics & UI Lab. His research focused on teaching robots new tasks through VR demonstrations.\n\nHe also holds a national patent for a computer-vision system, and previously co-founded Truely, which grew to 2,000+ users and 1.5M+ impressions.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/antonio-sitong-li/", "x_url": "https://x.com/AntonioSitongLi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/31394af155bdf33ce5bb832507516ea31b4407bd.jpg" } ], "jobs": [ { "id": 117560, "title": "Data Operations Lead", "url": "https://www.ycombinator.com/companies/noril1/jobs/njoB5k2-data-operations-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117561, "title": "Full-Stack Engineer", "url": "https://www.ycombinator.com/companies/noril1/jobs/cERiSKM-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 117562, "title": "Multimodal Engineer", "url": "https://www.ycombinator.com/companies/noril1/jobs/boIEFcs-multimodal-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$130K - $200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 117563, "title": "VLM Researcher", "url": "https://www.ycombinator.com/companies/noril1/jobs/3VxHqDs-vlm-researcher", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 117564, "title": "LLM Researcher", "url": "https://www.ycombinator.com/companies/noril1/jobs/2LGcxo3-llm-researcher", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 117565, "title": "Applied AI Engineer, Agents & Robot Learning", "url": "https://www.ycombinator.com/companies/noril1/jobs/ZSfyL0x-applied-ai-engineer-agents-robot-learning", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$150K - $200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 117566, "title": "Design Engineer", "url": "https://www.ycombinator.com/companies/noril1/jobs/XrKBJq1-design-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "$100K - $130K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 117567, "title": "Social Media & Content Marketer", "url": "https://www.ycombinator.com/companies/noril1/jobs/jVWzI5j-social-media-content-marketer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$35 / hourly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117568, "title": "Electrical Engineer", "url": "https://www.ycombinator.com/companies/noril1/jobs/Exs6QKi-electrical-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$110K - $120K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 117569, "title": "Robot Assembly & Automation Technician", "url": "https://www.ycombinator.com/companies/noril1/jobs/qciFkKu-robot-assembly-automation-technician", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$47.8K - $58.2K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "American Humanoid Robot Launches For Just $1,688, Delivery This Fall, Made In San Francisco", "url": "https://www.forbes.com/sites/johnkoetsier/2026/08/18/american-humanoid-robot-launches-for-just-1688-delivery-this-fall-made-in-san-francisco/", "date": "Aug 20, 2026" } ], "launches": [ { "id": 111315, "title": "Nori: The $1688 humanoid robot", "tagline": "Most humanoids cost 16k, ours cost 1.6. 19 DOF, 1.5 KG lift per arm", "body": "Hey YC! 👋\\\n\\\nI’m Antonio from Nori Robotics\n\nWe manufacture humanoids in SF, and we do it at 10% the cost of the competition \n\n**Our ask:** If you are doing any development related to robotics and you think that Nori can be useful, fill out this [form](https://docs.google.com/forms/d/e/1FAIpQLSdcHJxwXCBo5dz7IbIQ30akCu5JaD5Tbv5dP9gIQxvbJQR-3Q/viewform?usp=dialog) or reach out to me on: [X](https://x.com/AntonioSitongLi) or [linkedin](https://www.linkedin.com/in/antonio-sitong-li/). \n\nHere is a video demo of what Nori can do 👇\n\n\\\n\\\nLearn more at [norirobotics.com](http://norirobotics.com)\n\n\\\n**Nori Specs:**\n\n19 DOF\n\n\n\n55 kg linear lift\n\n\n\n1.5 kg payload per arm (2 arms)\\\n\n\nMicrophone array + Speaker (full-duplex speech dialogue)\n\nRpi 5 4GB compute module \n\n4 \\* 720p 30 fps camera", "url": "https://www.ycombinator.com/launches/SxP-nori-the-1688-humanoid-robot", "votes": 16, "created_at": "2026-08-20T18:30:00.323Z" } ] }, { "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": 32585, "name": "Hilstart", "slug": "hilstart", "former_names": [ "HILStart", "HILstart" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/51bcabfa16bc955e9ce96986bcffa07d33aea4b7.png", "website": "https://hilstart.io/", "all_locations": "San Francisco, CA, USA", "long_description": "We build physical agent harnesses to enable AI to debug, validate, and ship functional hardware and software.", "one_liner": "Autonomous Hardware Testing", "team_size": 0, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1787080990, "tags": [ "Developer Tools", "Hardware" ], "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/hilstart", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/hilstart.json", "year_founded": null, "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/51bcabfa16bc955e9ce96986bcffa07d33aea4b7.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": 3650587, "full_name": "William A'court", "title": "Founder/CEO", "founder_bio": "Founder and CEO at Hilstart. \n\nPreviously Lead Mechatronics Engineer at Aquila, shooting lasers at drones to charge them.\n\nAlso made FSAE race cars and electric jetboats along the way.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/william-acourt", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1ed4a0dd114a57e9fad794d4d76ca2b92b744087.jpg" }, { "user_id": 3673236, "full_name": "Simon Alexander", "title": "Founder/CTO", "founder_bio": "Founder & CTO at Hilstart. \n\nPreviously Firmware Engineer at Aquila.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/simon-alexander-8045a685/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f81fdbde1bd9795d0673493281c06b35e6e75e71.jpg" }, { "user_id": 3609313, "full_name": "Rahul Bhati", "title": "Founder", "founder_bio": "Trained gymnast. Building hardware since 15. 2x National robotics champion at 18. \n\nBefore HILStart: power and thermal systems at Vessev (Flying boats) and test rigs at Halter (NZ's latest unicorn). Founding team at Aquila and built the core tech behind kilometre-scale wireless laser energy transmission across many engineering disciplines. Aquila is now a world-leading powerbeaming company, and the tech delivered the world's first 500W transfer to a drone mid-flight.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rahulbhati240p/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dcade1c338d4f7cd84c76029a88c17e2378d7677.jpg" }, { "user_id": 4019599, "full_name": "Josh Schoeman", "title": "Founder", "founder_bio": "Making hardware easier.\nPast adventures all over mechanical and electrical development.\n\nBattle scars from electric motor design, accelerated lifecycle testing, mechanical structures, cooling systems, hardware test rigs, DFM, wiring harnesses, race cars and electronics debugging. \nAlso, destructive testing (often inadvertent).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joshua-schoeman-167a5b211/", "x_url": "https://x.com/Formula_Josh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b42ede95509dba6974a14a6bb16272b6d7579a8.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 32586, "name": "Greypoint Industries", "slug": "greypoint-industries", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0d5898f7b8fc2ee6fc19f6de3dae045123c7608.png", "website": "https://greypointindustries.com/", "all_locations": "San Francisco, CA, USA", "long_description": "We build LEGION, a drone swarm that identifies, geolocates, and tracks every emitter on the battlefield using the enemy’s own radio signals. LEGION enables our warfighters to precisely track previously obscured targets like jammers, command posts, and drone operators so they can proactively respond to threats instead of reacting to them.", "one_liner": "Building drone swarms that hunt hidden enemies.", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1782765221, "tags": [ "Hardware", "Robotics", "Drones", "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/greypoint-industries", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/greypoint-industries.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/greypoint-industries/?viewAsMember=true", "x_url": "https://x.com/Greypoint_", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0d5898f7b8fc2ee6fc19f6de3dae045123c7608.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 3676390, "full_name": "Darcy Zhang", "title": "Founder/CEO", "founder_bio": "Co-Founder at Greypoint Industries.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/darcy-zhang-021134243/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5337a388dc0b683be08ad652cef050e1fd9af004.jpg" }, { "user_id": 3676391, "full_name": "Nic Chu", "title": "Founder/COO", "founder_bio": "Co-Founder at Greypoint Industries.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nicchu/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2c6aa1d0091b93ae6f6641c720d544f1c7126a60.jpg" }, { "user_id": 3558298, "full_name": "Jordan Khoo", "title": "Founder/CTO", "founder_bio": "Co-Founder at Greypoint Industries. Previously led project with autonomous loitering munition project with Lockheed Martin Skunkworks.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jordankh00/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2363824c9001ce22d79d36c04d0ab6555b86edfa.jpg" }, { "user_id": 3676397, "full_name": "Steven Xu", "title": "Founder/CPO", "founder_bio": "Co-Founder at Greypoint Industries. Previously at Bosch Quantum Sensing building satellite sensors. Led research project on detection of UAVs using passive radar. Presidential Scholar at UBC.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sxu22/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9cffa849cc769fd0df23fe0a5e3b4c24fb8e7736.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108367, "title": "Greypoint Industries: Drone swarms that find drone operators", "tagline": "Greypoint Industries builds drone swarms that find enemy drone operators on the battlefield.", "body": "[Greypoint Industries (YC S26) Launch Video](https://youtu.be/y9jC4A7Fg04)\n\nGreypoint Industries builds drone swarms that find enemy drone operators on the battlefield.\n\nOver 70% of casualties in Ukraine come from drones. The entire defense space is focused on building interceptors to shoot them down. While they’re treating the symptom, we’re going after the root cause: the drone stations. They’re hidden in bunkers, behind terrain, and fly the drones that kill our warfighters and civilians. Today, soldiers have no way to reliably geolocate operators on the battlefield.\n\nGreypoint Industries built LEGION, a drone swarm that identifies, geolocates, and tracks every emitter on the battlefield using the enemy’s own radio signals. LEGION enables our warfighters to precisely track previously obscured targets like jammers, command posts, and drone operators so they can proactively respond to threats instead of reacting to them.\n\nGreypoint has just won a contract with the Canadian Government, demoed with the Armed Forces, and successfully geolocated a target using their aerial platform. The founding team brings experience from the Canadian Infantry, General Dynamics, Bosch Quantum Sensing, and TerraSense Analytics.\n\nDefend the West. Deploy Greypoint.\\\n\\\nFind out more at .", "url": "https://www.ycombinator.com/launches/SBr-greypoint-industries-drone-swarms-that-find-drone-operators", "votes": 10, "created_at": "2026-07-30T23:00:42.765Z" } ] }, { "id": 32621, "name": "Aktoria Robotics", "slug": "aktoria-robotics", "former_names": [ "Phi Robotics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/87a10d62adb927072657a9be3281af92a78ab9c6.png", "website": "https://aktoria.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Enabling robot deployment & autonomy ", "one_liner": "Human as API for robots", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1784175637, "tags": [ "Robotics", "Enterprise Software" ], "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/aktoria-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/aktoria-robotics.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/aktoria-robotics", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/87a10d62adb927072657a9be3281af92a78ab9c6.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": 3108880, "full_name": "Jaskaran Singh Walia", "title": "Founder", "founder_bio": "Ex - Researcher @ (Microsoft, MIT, CMU, Cambridge, NUS)\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jaskaranwalia", "x_url": "https://x.com/karanwxliaa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bb7e6a357374ed42415aee6999d0568b1d2dc6ce.jpg" }, { "user_id": 1125677, "full_name": "Shreenabh Agrawal", "title": "Founder", "founder_bio": "Robotics grad @ CMU. Physics & Quantum Technology @ IISc Bangalore.\nIndia's Prime Minister awardee, highest civilian honor for young achievers.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shreenabh/", "x_url": "https://x.com/ShreenabhA", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/64c61d6ba30010f5699e5b194f9a5ff2aa45b8ef.jpg" } ], "jobs": [ { "id": 109688, "title": "Robot Learning Researcher (VLA / Foundation Models)", "url": "https://www.ycombinator.com/companies/aktoria-robotics/jobs/WlROHB1-robot-learning-researcher-vla-foundation-models", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Science", "role_type": "Research", "salary_range": "$450K - $600K", "equity_range": "1.00% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 116148, "title": "HR Manager (India)", "url": "https://www.ycombinator.com/companies/aktoria-robotics/jobs/sIDJZkE-hr-manager-india", "location": "Noida, UP, IN / Noida, Uttar Pradesh, IN", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Operations", "salary_range": "₹700K - ₹1.4M INR", "equity_range": "", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 109426, "title": "Aktoria Robotics is the teleoperation layer to speed up robot deployments", "tagline": "A 24-hour global network of trained operators, powered by our low-latency teleop software.", "body": "**Aktoria Robotics is the teleoperation layer that speeds up robot deployments.**\n\n[https://drive.google.com/file/d/1UQchwD0U_FFdP9X3FDKJ7UjqXRW_zh24](https://drive.google.com/file/d/1UQchwD0U_FFdP9X3FDKJ7UjqXRW_zh24/view?usp=sharing)\n\nEvery \"autonomous\" robot you've seen this year had a human behind it. Full autonomy isn't here yet, and building an in-house teleop team is slow and expensive. That's the bottleneck standing between a working robot and a real deployment.\n\nAktoria Robotics is a 24-hour global network of trained robot operators across India, Mexico, and the USA, powered by our low-latency teleop software (40ms cross-country) at at least 50% less than the cost of in-house operators. Robotics companies plug in and ship deployments faster.\n\n**The team:** We're Jaskaran Singh Walia and Shreenabh Agrawal, ML and Robotics grad students at CMU. Shreenabh (ex-Zoox) has first-author papers at top robotics conferences. Jaskaran has authored 15+ papers and researched at MIT, Cambridge, and Microsoft Research.\n\n**Our ask:** If you're deploying robots and need reliable teleop, book a call through aktoria.com. Intros to robotics teams requiring teleop are hugely helpful, reply here or reach us at [founders@aktoria.com](mailto:founders@aktoria.com).", "url": "https://www.ycombinator.com/launches/SSw-aktoria-robotics-is-the-teleoperation-layer-to-speed-up-robot-deployments", "votes": 6, "created_at": "2026-08-06T15:00:00.066Z" } ] }, { "id": 32716, "name": "Neuromorphic", "slug": "neuromorphic", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/470f3b57cd018aad9c127e64e5b952d32a64d435.png", "website": "https://www.neuromorphic.vision/", "all_locations": "San Francisco, CA, USA", "long_description": "We are building robots that can work autonomously in existing wet labs. Unlike traditional lab automation, which requires dedicated equipment and fixed workflows, our robot moves between workstations, manipulates existing scientific equipment, transports lab materials, and executes experiments using the same lab infrastructure as a human technician. We make the robots easy to manage through natural interfaces like Slack, email, and phone. Our goal is to make deploying robots in wet labs as easy as onboarding a new employee, and to accelerate scientific research!", "one_liner": "Building robots to automate wetlabs", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1786056544, "tags": [ "Hard Tech", "Robotics", "B2B", "Biotech", "AI" ], "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/neuromorphic", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/neuromorphic.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/neuromorphic-vision", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/470f3b57cd018aad9c127e64e5b952d32a64d435.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": 3607343, "full_name": "Vatan Aksoy Tezer", "title": "Founder/CEO", "founder_bio": "Founder at Neuromorphic. Previously Lead Robotics Engineer at Augmentus, deploying motion planning algorithms to production with sub-mm accuracy and leading a team of 5. Before that, built navigation stacks from scratch at KABAM Robotics (deployed 100+ robots) and scaled ASRS systems at Rapyuta Robotics (1000+ robots to production). Core maintainer of MoveIt at PickNik Robotics. MS in CS from Sabanci University, BS in Astronautical Engineering from Istanbul Technical University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vatanaksoytezer/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d22faa66df9b9d4a1f2250b01fe1287fe3e28347.jpg" }, { "user_id": 2794176, "full_name": "Ege Doganay", "title": "Founder/CTO", "founder_bio": "Founder at Neuromorphic (YC S26). Robotics and AI research at Bilkent University. Research fellow at Nanyang Technological University. Published research in top AI and robotics conferences. Won HackMIT, Stanford XR, MIT Reality Hack.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ege-doganay/", "x_url": "https://x.com/_doganay_ege", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dda0ccf712da9c5904e6a14ea227c1d7210f36b9.jpg" }, { "user_id": 3316337, "full_name": "Cem Toker", "title": "Founder/COO", "founder_bio": "Founder at Neuromorphic. Co-founded ErgoFlow, building LLM routing and training acceleration. Previously developed static calibration algorithms for industrial robots at Zeeko achieving 30% higher precision. Engineering at Cambridge. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cem-seref-toker", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/938e49a805b6e2d5c1ed6645ef6db6e8f54dcb9d.jpg" } ], "jobs": [ { "id": 112214, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/neuromorphic/jobs/eae51Em-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$100K - $150K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Python", "CAD Design" ] } ], "news": [], "launches": [ { "id": 109550, "title": "Neuromorphic - Building an embodiment-agnostic “brain” that makes robots fast to deploy", "tagline": "We make robots smarter, and faster to deploy. Starting with wet labs!", "body": "Hi everyone! We’re Cem, Ege, and Vatan, the founders of Neuromorphic 👋\\\n\\\n**TL;DR** Neuromorphic is building an embodiment-agnostic “brain” that makes robots fast to deploy, and easy to manage through natural interfaces like Slack, email, and phone. Our goal is to make deploying robots in wet labs and other physical industries as easy as onboarding a new employee.\n\n\\\n\\\n**The Problem**\\\nTo make robotics mainstream, we believe two problems have to be resolved:\\\n1\\. Deployment: Robots are still too slow, expensive, and engineering-intensive to deploy and adapt to new tasks and environments.\\\n2\\. Interaction: Managing and controlling robots remains too technical.\\\n\\\n**What We’ve Built**\\\nNeuromorphic packages sensors, compute, and software into a “brain” that can be attached to any robot body. An onboard LLM orchestrator turns natural-language instructions into workflows made up of reusable robotic skills, such as navigating, picking up an object, opening a refrigerator, or inspecting an area. Individual skills can be of various types; they could be AI models we develop, like Vision-Language Models and Video Action Models, or just plain code. Sensor-based safety loops monitor every action to ensure reliable execution.\n\nWe are also giving robots emails, phone numbers, and Slack access to make human-robot interaction more intuitive than using dashboards. The robots then respond to queries and take actions using the onboard LLM.\\\n\\\n**Traction**\\\nWithin a week of our first conversation with a leading biotechnology company, we deployed our robot in their wet lab, which is capable of operating autonomously 24/7, and already completed over 1500 tasks.\\\n\\\n**The Team**\n\n![uploaded image](/media/?type=post&id=109550&key=user_uploads/3607343/b28b023b-f328-4c5d-9181-720e96e5b1a3)\n\n\\\nCem: Second-time founder and did robotics research at Cambridge University. Previously built LLM routing and training acceleration, and did precision robotics.\\\n\\\nVatan: Maintained multiple open-source robotics libraries, most notably MoveIt, one of the most popular motion-planning frameworks for robotics. Led various teams in robotics startups from Series A to Series C in Japan and Singapore. Deployed over a thousand robots.\\\n\\\nEge: Did Robotics and AI research at Bilkent University. Research fellow at Nanyang Technological University. Published research in top AI and robotics conferences. Won HackMIT in 2024.\\\n\\\nCem and Ege first met as teammates in the FIRST Robotics Competition. They reached out to Vatan for mentorship and robotics advice. We spent the next three years building robots and winning competitions together. We remained close and eventually reunited to start Neuromorphic!\\\n\\\n**Ask**\\\nWe're looking for warm intros to wet lab, biotech, and physical-industry operators. If you have a repetitive physical process and have wondered whether a robot could do it, email us at [founders@neuromorphic.vision](mailto:founders@neuromorphic.vision) or [book a call here](https://cal.com/team/neuromorphic/meet-the-founders-of-neuromorphic).", "url": "https://www.ycombinator.com/launches/SUw-neuromorphic-building-an-embodiment-agnostic-brain-that-makes-robots-fast-to-deploy", "votes": 73, "created_at": "2026-08-10T15:00:00.364Z" } ] }, { "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": 32752, "name": "Moving Atoms", "slug": "moving-atoms", "former_names": [ "Run Lobster", "RunLobster", "Demon AI", "RunDemon", "Avicenna Care", "Agent Insurance" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee4bd602221f77fc05dda940b7202523dd2b9d10.png", "website": "https://movingatoms.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Our first model, Atom 1, pre-trained on the internets video, and fine tuned for physics. \r\nIt has been action conditioned, so you can simulate robot actions within it.\r\nThis lets Robot Labs train their robots using GPUs instead of relying on human collected manual data that is slow and expensive.\r\nIn unseen and hard to replicate environments, this is the only path to getting ANY training data.", "one_liner": "Virtual Reality for Training Robots", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1786481200, "tags": [ "Hard Tech", "Robotics", "Virtual Reality", "Data Labeling", "AI" ], "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/moving-atoms", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/moving-atoms.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/ee4bd602221f77fc05dda940b7202523dd2b9d10.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": 1776350, "full_name": "Shehryar Saroya", "title": "Founder/CEO", "founder_bio": "Previously AI @ TikTok (Core Recomendation Algorithm). \nMaths @ Oxford.", "is_active": true, "linkedin_url": "https://linkedin.com/in/shehryar-saroya", "x_url": "https://x.com/SaroyaShehryar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eba8f18828b5f957663aea131e4a12ec89f9afbb.jpg" }, { "user_id": 2375000, "full_name": "Ahmad Saroya", "title": "Founder", "founder_bio": "Studied Mathematics @ Oxford, Trained Neural nets for GCHQ\nBritish Mathematical Olympiad Gold Medalist. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ahmad-saroya-a05400237/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ab9fc0f9df4310e5df12d2db3ff69d64e603d611.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 32781, "name": "Isengard Industries Inc", "slug": "isengard-industries-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/17f019cfd01fa25a85e88f6a43f39d133e5ecaff.png", "website": "http://isengardindustries.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Isengard Industries is not another drone company.\r\n\r\nWe build sovereign production: the means for allied nations to make precision-strike and counter-drone systems by the thousand, on their own soil, at a fraction of what the primes charge.\r\n\r\nWe call it Weapons of Mass Production. The Arsenal of Democracy, rebuilt for the drone age.\r\n\r\nMore to come, and only where it helps. You know how to reach us.", "one_liner": "Mass-produced AI strike systems and Counter-UAS", "team_size": 30, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1782404945, "tags": [ "Swarm Robotics", "Unmanned Vehicle", "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", "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/isengard-industries-inc", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/isengard-industries-inc.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/isengard-industries/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/17f019cfd01fa25a85e88f6a43f39d133e5ecaff.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": 3554287, "full_name": "Francisco Serra-Martins", "title": "Founder/CEO", "founder_bio": "Founder at Isengard Industries Inc. Previously co-founder/CEO at Terminal Autonomy, scaling to $60M revenue with customers including U.S. Army, NATO, and Ukrainian armed forces. Raised $15M+ from investors. Prior CEO at Sonder Design (listed on Forbes) and Combat engineer in Australian Defence Force. Studied Engineering at University of Sydney.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/franciscoserramartins/", "x_url": "https://x.com/FranciscoSerraM", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d2f29dd1ada67b914d72ae7d29c7908601e110f5.jpg" }, { "user_id": 3752974, "full_name": "James Tennant", "title": "Founder", "founder_bio": "I'm a co-founder of Isengard Industries. We build attack drones and counter-drone interceptors that allies manufacture locally at a fraction of prime cost. \n\nBefore Isengard I served as an Australian Army Officer. I have spent a decade in private equity and private credit. I ran Balmoral, a Defense Investment Bank, and have led diligence and structuring on defence-tech deals across Australia, Ukraine and the Gulf. \n\nI'm also completing a PhD on economic warfare and hybrid threats.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jamesjtennant/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/00c28e38e0f0496272a7eb753df9756a88fb9181.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 114670, "title": "Isengard Industries Inc", "tagline": "AI Weapons of Mass Production", "body": "Hi YC, I’m Francisco, co-founder of Isengard (S26). We build precision-strike and counter-drone systems that allied nations can manufacture on their own soil.\\\n\\\n\n\nWe have $10M in revenue and a $350M pipeline spanning the US Army, Ukraine, and allies globally.\n\nI previously co-founded Terminal Autonomy and scaled it to $60M in revenue in Ukraine. Just weeks ago, its Kyiv factory was hit by a Russian ballistic missiles. [The Guardian ](https://www.theguardian.com/world/2026/jul/30/us-firm-drone-factory-terminal-autonomy-ukraine-russia)article.\n\n**With my family in Ukraine, for me, resilient defense manufacturing is personal.** Isengard designs for affordable, distributed production, giving allies the capacity to build and replenish their own arsenals.\n\nWe call it Weapons of Mass Production.\n\n**Our ask:** Introductions to allied defense procurement teams and manufacturing partners. Contact [hello@isengardindustries.com](mailto:hello@isengardindustries.com).\n\n![uploaded image](/media/?type=post&id=114670&key=user_uploads/3554287/21bb2b9f-c02c-43b6-a778-84a16a1d7414)\n\n", "url": "https://www.ycombinator.com/launches/TpW-isengard-industries-inc", "votes": 13, "created_at": "2026-09-10T19:30:05.764Z" } ] }, { "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": 32981, "name": "Marengo", "slug": "marengo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/60eafb41e958f2dbb87a17e5996bba09e7731f2f.png", "website": "https://marengox.com", "all_locations": "San Francisco, CA, USA", "long_description": "Marengo is the AI-native engineering firm automating engineering design, starting with data centers. We’ve generated $70K in revenue in our first month, with $4M in contracts to deliver.\r\n\r\nMarengo is backed by YC, Exor, Future Planet Capital, undisclosed $2B AUM family office, and other top-tier investors.\r\n\r\nOur team includes the former President & CEO of Saipem America ($3B+ P&L), former President of Exyte's Advanced Technology Facilities GBU ($6B+ P&L) and more.", "one_liner": "AI-Native Engineering Firm designing Data Centers ", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1786181708, "tags": [ "Construction", "Design", "Energy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "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/marengo", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/marengo.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/marengox", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/60eafb41e958f2dbb87a17e5996bba09e7731f2f.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": 3204597, "full_name": "Emil Ares", "title": "Founder/CEO", "founder_bio": "Founded my first company at 16, making six figures. Ex-Cambridge Physicist working on world's most powerful magnets (56MW) at the 1.4GW MagLab facility. Ex-UK Space Agency.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emil-ares", "x_url": "https://x.com/emilares", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/73aa5b2d36814a17c6bd8b5b3c2f6e725d9dd15e.jpg" }, { "user_id": 3410964, "full_name": "Gad Marconi", "title": "Founder/CTO", "founder_bio": "Ex-AI software engineer at Nuclear and Energy EPC. Built and deployed on-site data center infrastructure at the 25MW Swiss Flumenthal hydroelectric plant. Ex-TU Delft.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gad-marconi", "x_url": "https://x.com/gadmarconi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/70c93b94836254602a740fc2c01e50a852e1acbc.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110380, "title": "Marengo: Accelerated Data Center Design", "tagline": "Marengo designs data centers at double the speed and half the cost with AI.", "body": "Hey everyone 👋! We're [Emil Ares](https://www.linkedin.com/in/emil-ares/) and [Gad Marconi](https://www.linkedin.com/in/gad-marconi/), co-founders of [Marengo](https://www.linkedin.com/company/marengox).\n\n**TL;DR** $6.7T is going towards data center capex up to 2030. It still takes 10-12 months to design data centers. Marengo is _the engineering firm for accelerated data center development._ Site Due Diligence through FEED and permitting design in half the traditional time and half the cost. We’ve developed internal AI design tools that our professional engineers use to accelerate their engineering design work. Customers receive validated outputs they can trust. Already working with some of the largest developers in the world.\n\n---\n\n**Our Launch Video: [https://youtu.be/57EbJ0Buz-U](https://youtu.be/57EbJ0Buz-U)**\n\n**Ask:** Are you a data center developer? Give us a site. Let Marengo show you what accelerated engineering looks like on one of your projects. Click [here](https://marengox.com/).\n\n**The problem\\[s\\]:**\n\nHuge **expenditure on design**: $6.7T of data center capex by 2030 - engineering design fees are a massive 12% of construction cost, meaning $800B in design spend alone.\n\nHuge **time waste**: engineering design takes 12-36 months (feasibility, due diligence, FEED/permitting design, detailed design); it’s done manually, meaning a design firm can only handle 3-4 different concepts per site, leading to suboptimal designs, worse decisions and higher risk.\n\n**The Solution:**\n\nAI alone doesn’t have the engineering, know-how or trust to be effective here. A step change is needed. Marengo is needed.\n\nTo customers, we’re **_the engineering firm for accelerated data center development_.** Internally, we have developed AI-native tooling designed for in-house use by professionals. These tools are:\n\n* **Physics-informed** - grounded in reality\n* **Deterministic** - the same specs will produce the same designs)\n* **Validated** - validated by our professional in-house engineers\n* **Data-driven** - we parallelise concept design generation, producing a virtually unlimited number of variations; we then run simulations to determine the best fit\n* **AI-native** - AI agents act as junior engineers accelerating manual processes so our professional engineers can focus on validation\n\n**How it works:**\n\nA customer gives us their plot of land; we leverage their heritage and requirements to deliver validated designs in **half the time** and **half the cost.**\n\n**Who We Are:**\n\n**Emil Ares** - Founded first company at 16, making six figures. Ex-Cambridge Physicist working on world's most powerful magnets (56MW) at the 1.4GW MagLab facility. Ex-UK Space Agency. Published researcher on AI for complex systems engineering design.\n\n**Gad Marconi** - Built and deployed on-site data center infrastructure at the 25MW Swiss Flumenthal hydroelectric plant. Ex-AI software engineer at Nuclear and Energy EPC. Ex-TU Delft.\n\n**Ask:**\n\nIf any of these describe you or your organization, we'd love to talk:\n\n* A neocloud, hyperscaler, developer or similar\n* A professional engineer working in data centers - architects, civil, mechanical, electrical; we’re hiring!\n\n---\n\nVisit to learn more! Contact us at [contact@marengox.com](mailto:contact@marengox.com) ", "url": "https://www.ycombinator.com/launches/SiK-marengo-accelerated-data-center-design", "votes": 41, "created_at": "2026-08-12T21:30:00.399Z" } ] }, { "id": 33012, "name": "Cosmic Robotics", "slug": "cosmic-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/610b3f44c95c65ea346121a48c57b8c81a3788ce.png", "website": "https://www.cosmicrobotics.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Our mission is to build a city on Mars. \r\n\r\nCosmic-1, the first equipment in our fleet, is an autonomous robot capable of heavy-lift manipulation. Its been deployed on some of the largest solar farms in the US, more than doubling labor productivity across tens of thousands of panel installs. \r\n\r\nWe're scaling in solar, expanding in data centers, and building lunar construction robotics under contract with NASA.", "one_liner": "Autonomous construction on Earth and beyond", "team_size": 8, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1783106253, "tags": [ "Hard Tech", "Robotics", "Construction", "Aerospace" ], "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/cosmic-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/cosmic-robotics.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cosmic-robotics/", "x_url": "https://x.com/cosmic_robotics", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/cosmic-robotics", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/610b3f44c95c65ea346121a48c57b8c81a3788ce.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": 522502, "full_name": "James Emerick", "title": "Founder/CEO", "founder_bio": "Co-founder, CEO at Cosmic Robotics (YC S26). Previously robotics engineer at Built Robotics deploying autonomous earthmoving robots in production, and research engineer at Autodesk Research building adaptive platforms for construction. MS/BS in Mechanical Engineering from UPenn.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jamesemerick", "x_url": "https://x.com/JamesAEmerick", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c3984e6d72a7fc6fad1faf754e9630152d5177fa.jpg" }, { "user_id": 403781, "full_name": "Lewis Jones", "title": "Founder/CTO", "founder_bio": "Co-founder, CTO at Cosmic Robotics (YC S26). Previously propulsion engineer at Relativity Space and prior experience at SpaceX, NASA JPL, and NASA JSC. Forbes 30 under 30. BS in Mechanical Engineering and Economics from Caltech.", "is_active": true, "linkedin_url": "https://linkedin.com/in/lewis-c-jones", "x_url": "https://x.com/thelcjones", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e307c9f2c5673760099031abcf82a9d8ea9dbff9.jpg" } ], "jobs": [], "news": [ { "title": "Cosmic Robotics' robots could speed up solar panel deployments | TechCrunch", "url": "https://techcrunch.com/2025/04/16/cosmic-robotics-is-building-robots-to-speed-solar-power-deployments-for-data-centers/", "date": "Apr 16, 2025" } ], "launches": [ { "id": 106899, "title": "Cosmic Robotics: Autonomous construction on Earth and beyond", "tagline": "Robotic construction equipment to build a city on Mars. We’re proving the technology by building large-scale infrastructure on Earth — utility-scale solar farms and hyperscale data centers.", "body": "Hey everyone 👋\n\nWe’re [James](https://www.linkedin.com/in/jamesemerick/) and [Lewis](https://www.linkedin.com/in/lewis-c-jones/) - co-founders of [Cosmic Robotics](https://www.cosmicrobotics.com). \n\n**TL;DR**\n\n**We build robotic construction equipment to build a city on Mars**. We’re proving the technology today by building large-scale infrastructure on Earth – utility-scale solar farms and hyperscale data centers. Our first machine, Cosmic-1, has already installed tens of thousands of solar panels in the field and more than doubled the productivity of traditional crews.\n\n \n\n**❌ The problem**\n\nAfter working at NASA JPL, SpaceX, and Relativity Space, we believe rockets are no longer the limiting factor to space exploration and that the first humans will land on Mars by 2034. **The new bottleneck is construction**. We won't be sending thousands of construction workers to Mars to build the energy, compute, and housing needed to sustain even a small city. **It has to be built by robots that don't exist yet**.\n\nOn Earth we have a similar problem - **we’ve lost the ability to build**. Construction productivity has declined for 50 years while manufacturing and agriculture became 10-15x more productive through automation. **The missing technology is robotic manipulation for the tasks still done by hand**: lifting, placing, fastening.\n\nMeanwhile, there is a generational infrastructure buildout happening right now. **$7 trillion** is going into AI data centers, power, and compute over the next six years, **more than the Apollo Program, Manhattan Project, and Interstate Highway System combined**. 40% of US data center projects are running behind schedule, and the skilled labor shortage is the #1 cause. \n\n**🤖 What we've built**\n\nCosmic-1 is a 10,000 lb autonomous robot capable of heavy-lift manipulation. In solar, it picks up 90 lb panels and places them onto racking with millimeter precision in any environment: 100-degree heat, freezing rain, snow, and dust. It seamlessly integrates into existing construction processes. Across tens of thousands of cycles it has more than doubled the labor productivity of solar installation, on some of the largest solar projects in the US.\n\n![uploaded image](/media/?type=post&id=106899&key=user_uploads/522502/bb5f86ec-a23b-4ffd-a173-87f36ce6fb1c)\n\n**👬 The Team**\n\nWe come at this problem from two angles. James (CEO) grew up on construction sites, then spent his career bringing robots to the field with Built Robotics and Autodesk Research. He learned you don't change the oldest industry in the world by disrupting it; you earn your way in by giving crews better tools.\n\nLewis' (CTO) life ambition is to build a city on Mars. His work at NASA, SpaceX, and Relativity Space spans rocket engines, launch vehicles, satellites, space stations, and, yes, Martian robots. When it became clear the space industry was well on its way to Mars, he went looking for the construction robots. When he didn't find them, we started Cosmic.\n\nWe’ve brought together a team of industry experts with experience building robots, rockets, drones, self-driving cars, humanoids, and nuclear reactor operations. We know what it takes to get a machine to show up day-in-day-out on the jobsite.\n\n![uploaded image](/media/?type=post&id=106899&key=user_uploads/522502/87f30a8e-6f83-490e-8bef-04225d1a525e)\n\n**🚀 What's next**\n\nWe're scaling in solar, taking Cosmic-1 into data center construction, and working with NASA on lunar construction robotics. Revenue and data from deployments on Earth train the systems we'll deploy on Mars.\n\n**🙏 Our asks**\n\n1. **Know a hyperscaler or neocloud construction team?** Please connect us.\n2. **Share this post** and [follow our journey](https://www.linkedin.com/company/cosmic-robotics/).\n\n👉 Contact us at [james@cosmicrobotics.com](mailto:james@cosmicrobotics.com) | [cosmicrobotics.com](http://cosmicrobotics.com)", "url": "https://www.ycombinator.com/launches/RoB-cosmic-robotics-autonomous-construction-on-earth-and-beyond", "votes": 28, "created_at": "2026-07-23T17:36:46.436Z" } ] }, { "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": 33022, "name": "Praxis Robotics", "slug": "praxis-robotics", "former_names": [ "Praxis AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9bc18b804ad9a5d92ef1db88e90491f98e0204a7.png", "website": "https://www.praxisrobotics.io", "all_locations": "San Francisco, CA, USA", "long_description": "Praxis captures the data physical AI is bottlenecked on: egocentric video, 3D scans, and multimodal capture from inside real industrial and residential environments. Embedded within publicly listed and unicorn-scale conglomerates, we reach 60k workers across 5 continents and 150+ environment types, supplying the real-world training data frontier labs and humanoid companies can't source anywhere else.", "one_liner": "Turns real businesses into robotics data vendors", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1782948528, "tags": [ "Hard Tech", "Reinforcement Learning", "Robotic Process Automation" ], "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/praxis-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/praxis-robotics.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/130274179/admin/dashboard/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9bc18b804ad9a5d92ef1db88e90491f98e0204a7.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": 2794157, "full_name": "Rohan Seelamsetty", "title": "Founder/CEO", "founder_bio": " CEO @ Praxis. Forged across factory floors, campaign trails, and niche forums. Ex Computation and Cognition at Penn, Apollo Fellow at Oxford, and Indian Debate Team (#1 ranked team worldwide)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rohan-s-1186b2214", "x_url": "https://x.com/ro_seelamsetty", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4b3e6e16cddb3da2384ce8f9439ca9ebc043d2bb.jpg" }, { "user_id": 3752185, "full_name": "Dev Karpe", "title": "Founder/COO", "founder_bio": "Founder at Praxis AI, previously at Wharton's Huntsman Program. Background in investment banking and supply chain ops at a F500 CEO's office. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dev-karpe", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f4a1fc8056a887a99633492428b5db995e58a488.jpg" }, { "user_id": 3748464, "full_name": "Tommy Li", "title": "Founder/CTO", "founder_bio": "Founder at Praxis AI. Prev. tech private equity at Morgan Stanley. Industrial tech venture capital at Andreessen Horowitz. Published IEEE researcher at NASA JPL and PerceptIn Robotics. BSE CS and Finance from UPenn.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tommyli-penn/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0e7be9454dacfd8fa65594cc6836b90cc7e5e0b4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109471, "title": "Praxis AI - Training Data for Robotics", "tagline": "Praxis offers labs the most diverse environments, SOTA hardware, and rigorous post processing to train their models", "body": "**Hey YC!**\n\nWe're Rohan, Dev, and Tommy, and we're building Praxis.\n\n**Praxis turns real-world work into training data for robots.**\n\n\n\n**What we do**\n\nRobots learn to act in the physical world by watching humans do the work. We partner with businesses to capture egocentric human demonstration data, the first-person video of how tasks actually get done in factories, warehouses, homes, and other physical work environments, then supply it to the labs and humanoid teams training the next generation of robots. Robotics data is our focus, but since our collection infrastructure overlaps, we're happy to explore other multimodal data too.\n\n**The problem**\n\nRobotics is missing its internet-scale training corpus. LLMs learned from the web, books, code, and the accumulated record of human thought. Robots need the equivalent record of human action: how people pick, pack, clean, assemble, inspect, cook, use tools, recover from mistakes, and move through messy physical environments.\n\nCollecting some of this data is easy. Collecting enough of the right kind is brutally hard, for two reasons.\n\nFirst, diversity is capped by access. Models only generalise if they've seen the full range of real environments and operators, from a one-person shop to a national-scale industrial operation. Getting in the door across that entire spectrum, and across continents, is a physical-world access problem that most teams can't solve.\n\nSecond, it takes two rare skills at once. You have to know what frontier labs need at a technical level, and be able to run demanding physical operations across thousands of real sites, standardising capture and turning fragmented workflows into model-ready data. Few teams have both halves.\n\n**Our solution**\n\nWe already run collections across 150 environment types on 5 continents, with diversity from mom-and-pop stores to conglomerates accounting for 3% of a nation's GDP, and a reachable network of 60,000 workers. Depending on the task, we capture egocentric video, stereo-RGB, IMU, wrist-camera views, glove kinematics, haptics, and dense annotations. Everything is delivered calibrated, synced, pose-tracked, QA'd, and PII-scrubbed. We build and deploy custom capture hardware quickly because part of the team operates out of Shenzhen.\n\n**Why us**\n\nPraxis is built to do both hard things at once. We pair robotics research depth (IEEE, NASA JPL) with the ability to actually run demanding operations in the real world, from Fortune 500 supply chains to Parliaments, plus a Shenzhen hardware team. That combination- technical understanding of what labs need plus real physical-world access at scale- is what lets us deliver diverse, model-ready data at a cost and breadth that is irreplaceable.\n\n**Our asks**\n\n1. Intros to anyone working on robotics, embodied AI, or world-models, especially data and research leads. If you need other forms of multimodal data, we're happy to explore that too.\n2. If you run a business with interesting physical work (logistics, manufacturing, food, retail, or lab work) and would like to monetize it, we'd love to talk.\n\nYou can reach us at [founders@praxisrobotics.io](mailto:founders@praxisrobotics.io) and [rohan@praxisrobotics.io](mailto:rohan@praxisrobotics.io)[ https://www.praxisrobotics.io](https://www.praxisrobotics.io)", "url": "https://www.ycombinator.com/launches/STf-praxis-ai-training-data-for-robotics", "votes": 11, "created_at": "2026-08-06T22:30:00.618Z" } ] }, { "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": 33056, "name": "83 Sciences", "slug": "83-sciences", "former_names": [ "LabAlly", "83 sciences" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/08c94ab9737bf76c36b1cbac477c55b5067788ed.png", "website": "https://83sciences.ai", "all_locations": "San Francisco, CA, USA", "long_description": "83 Sciences uses AI to mine discarded experimental data and drive scientific breakthroughs. Working alongside labs, we discover the materials that will power the new Industrial Revolution.", "one_liner": "AI-native materials discovery powered by unpublished experimental data", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1783362788, "tags": [ "Hard Tech", "Advanced Materials", "AI" ], "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/83-sciences", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/83-sciences.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/83sciences.ai", "x_url": "https://x.com/83sciences", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/08c94ab9737bf76c36b1cbac477c55b5067788ed.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0671a743b093a1e19c485330f4a4b3434448a3af.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2982957, "full_name": "Ian Naccarella", "title": "Founder/CEO", "founder_bio": "Founder at 83 Sciences developing the future of scientific discovery. Previously a fellow at MIT focused on commercializing IP out of the ecosystem, a strategy manager at Sila Nanotechnologies (battery materials unicorn), and a consultant at Boston Consulting Group. Hold a BS and MS in Chemical Engineering from Stanford and MBA from Harvard Business School.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ian-naccarella", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a9328006522cbb0cbf9cea515c5a0324457d8b7f.jpg" }, { "user_id": 3679894, "full_name": "Eric Riesel", "title": "Founder/CTO", "founder_bio": "Founder at 83 Sciences. Experimental chemist and ML researcher with a PhD in inorganic chemistry from MIT, where I built machine learning systems to analyze complex materials data in minutes instead of days. My research spans quantum materials, generative models, and experimental data analysis, including one of the first generative approaches for chemical experimental data. BA in Chemistry from Columbia.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eric-riesel", "x_url": "https://x.com/ericriesel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6bc3086b3dce349c94c3909537c479266d39939c.jpg" }, { "user_id": 3380797, "full_name": "Yankang Yang", "title": "Founder/COO", "founder_bio": "Founder at 83 Sciences. Former BCG Principal; led the firm's AI program scaling tools and AI practices to 30,000+ users globally. Harvard CS & EE undergrad. Past robotics research (Wyss Institute) and biosignals research (Roswell Park) experience ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yankangyang/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0a82615e5de87cad9ef0ba0f984d1d3b0dac538.jpg" } ], "jobs": [ { "id": 98793, "title": "Founding AI Engineer", "url": "https://www.ycombinator.com/companies/83-sciences/jobs/Wgkya40-founding-ai-engineer", "location": "San Francisco, CA, US / New York, NY, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$120K - $250K", "equity_range": "0.50% - 5.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102160, "title": "Head of Data Partnerships", "url": "https://www.ycombinator.com/companies/83-sciences/jobs/NR8uCdC-head-of-data-partnerships", "location": "New York, NY, US / San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$170K - $220K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 108805, "title": "83 Sciences: Materials discovery from the ~90% of experimental data that never gets published", "tagline": "We train materials discovery models on experimental data to help industry improve manufacturing performance at scale and help academics publish more. ", "body": "History’s greatest ages are named after materials (Stone Age, Bronze Age, Iron Age, Silicon Age, etc.). The next great age is ours to make together.\\\n\\\n\n\\\n**TL;DR:** We are a team of Stanford, MIT, and Harvard researchers discovering breakthrough materials by training frontier models on decades of unpublished experimental data. **We've already discovered a novel material and drafted a manuscript for publication.**\n\nIndustrial R&D teams use us to find scalable application-specific materials that frontier models can't predict. Academic labs turn decades of unpublished data into new papers, citations, and commercialization revenue with us.\n\n**What we do**\n\nWe are uncovering novel materials that help industry improve performance at scale and stay top of new regulations. Examples include replacements for PFAS, the \"forever chemicals\" that are being banned worldwide, and finding a binder for silicon anodes that can survive charging and drop into existing battery manufacturing processes (our cofounder Ian’s work at Sila Nanotechnologies).\n\n**Why we're different**\n\nThe materials performance that matters to industry can only be measured in real experiments, but >85% of experimental research is never published. Frontier models train on papers and simulations and miss all the failures sitting in file drawers. We train on that unpublished data through partnerships with labs across the country, and it’s already working: we've already discovered a novel material and drafted a manuscript for publication.\n\n**Who we are**\n\nWe are Eric, Ian, and Yankang, collaborators for years on everything from superconductors to cooling textiles, and we lead a team of world-class researchers and commercialization experts.\n\nEric developed one of the early generative AI approaches for analyzing experimental data (MIT PhD), Ian has brought multiple climate technologies to market, and Yankang led Boston Consulting Group’s AI program, scaling frontier technology to 30,000+ users globally. Advisors: Simon Billinge (UCSB), Mingda Li (MIT), Ashwin Sreenivas (Decagon).\n\n**Our ask**\n\nIf you need better materials to drive performance and cost, especially in batteries, semis, membranes, catalysts or pharma, or know an academic lab sitting on experimental data, we'd love an intro: [hello@83sciences.ai](mailto:hello@83sciences.ai)", "url": "https://www.ycombinator.com/launches/SIv-83-sciences-materials-discovery-from-the-90-of-experimental-data-that-never-gets-published", "votes": 16, "created_at": "2026-08-03T22:41:26.834Z" } ] }, { "id": 33111, "name": "Skymerse", "slug": "skymerse", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dcac201e21fa70f9b3a8a1b827c8fd7759c25920.png", "website": "https://skymerse.com", "all_locations": "San Francisco, CA, USA", "long_description": "Skymerse is building one AI system for airline flight operations: from planning and monitoring in the operations center to real-time support in the cockpit. It is developing specialized aeronautical models that understand the data, constraints, and procedures behind each flight, replacing fragmented tools and manual interpretation. Notamify, its first product, already serves airline customers and thousands pilots and aviation professionals.", "one_liner": "Autopilot for Flight Operations", "team_size": null, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1783640155, "tags": [ "Airlines", "Aerospace", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "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": null, "url": "https://www.ycombinator.com/companies/skymerse", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/skymerse.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/skymerse", "x_url": "http://x.com/skymerse", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dcac201e21fa70f9b3a8a1b827c8fd7759c25920.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": 1472269, "full_name": "Damian Szumski", "title": "Founder/CEO", "founder_bio": "Founder at Skymerse (YC S26). Licensed Flight Dispatcher. Previously Product Owner at Flightradar24 API. Background in Aerospace and Flight Ops.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/damian-szumski/", "x_url": "https://x.com/zaxrev", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/720059d9d72b5293515142d82e45f90f7f3e7eb7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111421, "title": "Skymerse: Autopilot for Flight Operations", "tagline": "From planning and monitoring in the operations center to real-time support in the cockpit.", "body": "I’m Damian, founder of Skymerse (S26). I’m a licensed flight dispatcher and have spent 10 years working across flight operations, aviation data, and software.\n\nWe’re building one AI system to automate flight operations - from planning and monitoring in the operations center to real-time support in the cockpit.\n\nOur goal is full automation of the work behind every flight.\n\n\n\n## The problem\n\nAirlines have spent decades digitizing flight operations. The information moved from paper to screens. The work of understanding it did not. A flight exists across many systems. Each system may be good at its own job, but the complete operational picture exists between them.\n\nPilots and operations teams still have to build that picture themselves. They search, compare, and interpret information to plan, monitor, and adapt every flight from schedule to landing.\n\nWhen something changes, they do it again. When responsibility moves from the operations center to the crew, much of the context has to be passed on or rebuilt.\n\nToday, people are the integration layer.\n\n## What Skymerse does\n\nSkymerse builds a live operational model of every flight. When an airline’s schedule flows in, it assembles the operational context for each flight and keeps it current as conditions change.\n\nThat model is the foundation for automation. Skymerse does not stop at displaying information or sending an alert. It understands what a change means for the flight, updates the operation, and carries the required work forward automatically.\n\nSkymerse plans, monitors, and adapts flights from the operations center to the cockpit. Instead of rebuilding context across tools and handoffs, Skymerse manages each flight as one continuous process, from schedule to landing.\n\n## Why I started Skymerse\n\nSkymerse started with [Notamify.com](http://Notamify.com). I built Notamify because I was amazed by how much information pilots and ops teams have to process before every flight - and how much of that work was still done by hand.\n\n![uploaded image](/media/?type=post&id=111421&key=user_uploads/1472269/7e9fe835-e22f-4cb1-92dc-ac0f99a0cce2)\n\nNotamify interprets every single NOTAM into operational impact. It reduces the briefing time from 2 hours to 2 minutes per flight. It now serves airline customers and thousands of pilots and aviation professionals.\n\nAs we built it, the larger problem became clear. Making one source easier interpreted is valuable, but people still have to connect it with the rest of the operation. They still have to work out what it means for their flight and what to do next.\n\nSkymerse is that next step: from helping people understand one part of a flight to automating flight operations e2e.\n\n## Automate your flight operations\n\nWe are onboarding airlines that want to automate their flight operations. If you lead flight operations, dispatch, or an OCC, we want to show you Skymerse on your flights.\n\n[Book a demo](http://skymerse.com/demo) or email [hello@skymerse.com](mailto:hello@skymerse.com).", "url": "https://www.ycombinator.com/launches/Sz7-skymerse-autopilot-for-flight-operations", "votes": 30, "created_at": "2026-08-20T23:00:00.215Z" } ] }, { "id": 33144, "name": "Grip", "slug": "grip", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6be2671c5d4e3adfe916a4a59aad4680c7cc9d3.png", "website": "https://www.griprobotics.ai", "all_locations": "Zürich, ZH, Switzerland", "long_description": "Grip is a robotics company building intelligent robotic systems for waste and recycling. We are starting with organic waste, where removing contaminants from messy, constantly changing streams remains difficult and highly manual. Our technology combines learning-based manipulation and custom hardware to identify and pick objects, learning from real-world operating data, including every successful and failed grasp, to become more reliable and adaptable over time. This helps waste operators reduce manual sorting, recover more valuable material, lower contamination, and deploy automation flexibly across facilities. Over time, Grip aims to expand beyond organics and build the intelligent manipulation layer for trash in general, making waste processing and the circular economy more efficient and scalable.", "one_liner": "Robots for waste manipulation", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1785254669, "tags": [ "Robotic Process Automation", "Sustainability" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "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/grip", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/grip.json", "year_founded": 2026, "city": "Zürich", "country": "CH", "linkedin_url": "https://www.linkedin.com/company/griprobotics", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6be2671c5d4e3adfe916a4a59aad4680c7cc9d3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f0ba95cdc010ecb5489de28455277fd61e5501df.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 3678212, "full_name": "Jonas Gruetter", "title": "Founder/CEO", "founder_bio": "Former robotics researcher, published at ICRA. Ex-Gravis Robotics, Robotic Systems Lab, and Ursa Mining. Now building robots to solve fundamental societal problems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jonasgrutter/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/81ff3bd631bc4b7206041d530bc182993fddd8fc.jpg" }, { "user_id": 3678142, "full_name": "Stanislaw Piasecki", "title": "Founder/CTO", "founder_bio": "Co-founder at Grip. Previously founding engineer at URSA Mining, building autonomous excavators with custom control circuits, RL simulators, and multi-sensor perception systems. Built autonomous interceptor drones at CDDS, autonomous race cars at AMZ and quadruped robotics at ANYbotics. MS in Computational Science & Engineering from ETH Zürich.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stanislaw-piasecki/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/253c9593fed9e59498847d4c158543099816d8f1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111317, "title": "Grip - Robotics for Waste Management", "tagline": "Robots that sort any waste and recover recyclables, learning from every grasp.", "body": "Hi everyone - Stan and Jonas here, founders of **Grip**. We build intelligent robots that sort _any_ waste, not just the clean, predictable objects existing systems are limited to. We're starting with plastic contamination in organic waste.\\\n\\\n\n\n**The problem**\n\nWe didn't start with a thesis, we found it on sorting lines, after visiting waste facilities across several countries:\n\n* **Contamination is existential.** Plastic that organic-waste facilities can't remove gets shredded, processed, and spread onto agricultural soil. Operators spend up to 30% of operating costs fighting it and still fall short. Even Germany's 0.1% limit for plastic in finished compost is a tacit admission that full removal isn't possible with today's tools.\n* **The labor force is aging and shrinking.** The picking work is unpleasant and turnover is brutal. Operators increasingly aren't choosing between people and robots. They're choosing between robots and nobody.\n* **Dangerous items cause fires.** Batteries, propane tanks, and vapes slip through and ignite during handling and shredding: 448 reported fires at US and Canadian waste facilities in 2025, \\~$2.5B in damage, and insurers are walking away. At the same time trash sorting is sitting in the top 5 of US deadliest occupations.\n\n**What we built**\n\nThe hard part isn't the gripper. It's that waste never looks the way you planned. Objects arrive crushed, folded, tangled, half-buried, and moving. Put today's sorting robots in front of this and they break.\n\nWe're building one manipulation system that picks whatever shows up, at the front of the line where the material is most chaotic and existing automation stops. That means chaotic scene understanding, robust grasp planning, and hardware built for real waste streams: our custom three-way gripper is designed to maximize throughput, taking out as much contamination per cycle as possible.\n\nOur rugged hardware matters, but intelligence is the product. Every pick generates data no other system ever encounters: what the robot saw, what it tried, how the material responded, whether it worked.\n\n![uploaded image](/media/?type=post&id=111317&key=user_uploads/3678142/bc867fdc-9225-4b85-83f9-f83433465d5b)\n\n**Why now**\n\nWaste policy has moved from vague ambition to enforceable deadlines:\n\n* Separate bio-waste collection is now mandatory across the EU. More material, and more contamination, every year.\n* New EU fertiliser rules just cut permitted impurities in compost and digestate, with national limits like Germany's stricter still.\n* The US is real: California mandated a 75% cut in landfilled organics, missed it, and enforcement is ramping. At the same time, landfills near major cities are filling up, and that pressure is pushing more and more US municipalities to collect organic waste separately. More material, more contamination, more facilities that need to sort it.\n\nMore than 6,500 biowaste plants and thousands of recycling facilities across Europe and North America face this with no robot that can touch it. That's Grip.\n\n**Why us**\n\nWe've built autonomous race cars, quadrupeds, drones, and excavators, robots that operate in dirt, weather, and chaos rather than controlled labs. Grip is that experience applied to an industry where physical intelligence removes a real bottleneck.\n\n**Our ask**\n\nWe'd love intros to:\n\n* Owners and operators of composting, anaerobic-digestion, and organic-waste facilities\n* Owners and operators of MRFs and recycling facilities\n* Regulators and experts shaping contamination limits and recycling standards\n\nIf someone runs a facility and will show us their hardest sorting problem, we'll get on a plane.\n\n[**griprobotics.ai**](http://griprobotics.ai)", "url": "https://www.ycombinator.com/launches/SxR-grip-robotics-for-waste-management", "votes": 15, "created_at": "2026-08-19T13:00:00.941Z" } ] }, { "id": 33277, "name": "Hop Aero", "slug": "hop-aero", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a5cab9ede70e23b0ea3f8e3b64b7a19735939c17.png", "website": "https://hopaero.com", "all_locations": "Los Angeles, CA, USA", "long_description": "Hop Aero is building rocket cargo vehicles that deliver to contested environments hundreds of miles away in minutes. Our rockets fly point-to-point into the most austere locations at hypersonic speeds. Hop Aero's goal is to provide the U.S. and allies the asymmetric advantage that deters a future major conflict.", "one_liner": "Rocket cargo delivery to contested environments", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1781029529, "tags": [], "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/hop-aero", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/hop-aero.json", "year_founded": 2024, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hop-aero/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a5cab9ede70e23b0ea3f8e3b64b7a19735939c17.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 480112, "full_name": "Matija Milenovic", "title": "Founder/CEO", "founder_bio": "Founder at Hop Aero. Previously CEO at porkchop (electric propulsion for satellites), launched on SpaceX Transporter-3, built $400M+ sales pipeline, sold IP. System Engineer at Destinus leading 20+ person team on supersonic UAV. Scaled Ukrainian loitering munition production from 10 to 100+ units/month. MS Aerospace Engineering KTH Stockholm.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matija-milenovic/", "x_url": "https://x.com/mat_milenovic", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5de9c335ad613ed7722aedbdf0a67bed625083f9.jpg" }, { "user_id": 2233348, "full_name": "Jacob Balaj", "title": "Founder/CTO", "founder_bio": "Founder at Hop Aero. Previously Integration & Test Engineer at SpinLaunch (satellites), Lead Systems Integration & Test at Masten Space Systems (lunar lander for NASA's CLPS program), and Integration & Test at Virgin Orbit (LauncherOne) and SpaceX (Falcon 9/Heavy—built booster refurbishment process, cut test time in half). Earlier avionics QA on MV-22 tiltrotors in the US Marine Corps.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jacob-balaj-6b4b061b5/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef902d83986d7f7b76472502d93c8fe3621a2b2a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 112220, "title": "Hop Aero 🚀 Rocket Cargo", "tagline": "Hop Aero delivers an autonomous 21st century D-Day", "body": "[https://drive.google.com/file/d/1xqm08Bpwv1LXOsas-oVfZ5rDwp1lNqP8](https://drive.google.com/file/d/1xqm08Bpwv1LXOsas-oVfZ5rDwp1lNqP8/view?usp=share_link)\n\\\n❌ **Problem**\n\nWhile Jacob was serving in the U.S. Marine Corps, Typhoon Haiyan had just swept through the Philippines. Jacob and his unit were given a clear order: deliver life-saving supplies of medicine and food as soon as possible. Despite working around the clock, the effort was regularly blocked due to aircraft breaking down, flight-critical parts being out of inventory, and pilot fatigue.\n\nSimilarly, when building his previous startup, Matija’s team were given 24 hours’ notice to deliver a satellite propulsion system to the mission integrator. FedEx and UPS could not guarantee on-time delivery, forcing Matija to make a 23-hour trip to hand-deliver the flight hardware. He spent the flight back thinking that there has to be a better way.\n\nIt turned out that it wasn’t just us. Everyone from startups to the U.S. military, needs faster delivery. We saw an opportunity to create the fastest form of transportation in the world.\n\n🚀 **Rockets are the answer**\n\nWe are building Rook, an autonomous rocket that delivers 250 kg of cargo up to 750 km away. That’s Okinawa to Taiwan in 15 minutes.\n\nRook launches from a standard 40-ft shipping container, flies through space, re-enters at hypersonic speeds and lands on unprepared surfaces, allowing it to launch and land anywhere on the planet. This opens up completely new commercial markets and military capabilities.\n\nRook can deliver swarms of autonomous unmanned systems to the battlefield, delivering a fully-autonomous 21st century D-Day effect for the U.S. and allies. The same Rook can deliver time-critical goods for manufacturing, automotive, aerospace, offshore oil and pharma, preventing downtime costs of up to $2M/hour.\n\n🏆 **Traction**\n\n* **Won a $1.25M DoW contract** from the US Air Force.\n* **Completed our first tethered test** at the Oklahoma spaceport on a small-scale prototype\n* **Successfully hot-fired our engine and igniter** built using hopOS, our AI-augmented secret sauce.\n* **Successfully demonstrated drone deployment** from our rocket cargo vehicle.\n\n🥷 **Team**\n\n**Matija (CEO):** Previously founded porkchop (electric propulsion for small satellites) - launched on SpaceX Transporter-3, built a $400M+ sales pipeline, sold the IP. Led a 20+ person supersonic UAV team at Destinus and scaled Ukrainian loitering-munition production from 10 to 100+ units/month.\n\n**Jacob (CTO):** US Marine Corps (MV-22 avionics) → SpaceX (Falcon 9/Heavy; built the OG booster refurb program) → Virgin Orbit (LauncherOne) → Masten (led systems integration & test on NASA's CLPS lunar lander) → SpinLaunch. A decade of making rockets fly on schedule.\n\n![uploaded image](/media/?type=post&id=112220&key=user_uploads/480112/8946bdbe-09b5-447f-8022-6233e2401800)\n\n🙏 **Asks**\n\n* **Intros to DoW customers and end-users.** Anyone with warm paths into the Navy, PACOM, or program offices working contested logistics - we want to talk.\n* **Intros to commercial end-users.** Businesses with high downtime costs such as manufacturing, automotive, aerospace, offshore oil, pharma - all are right down our alley.\n* **Payload partners.** We want to deploy your drones, interceptors, electronic warfare jammers and more! Reach out if you want to give your product the ability to teleport to the battlefield!", "url": "https://www.ycombinator.com/launches/TC0-hop-aero-rocket-cargo", "votes": 6, "created_at": "2026-08-26T15:00:00.587Z" }, { "id": 107889, "title": "Hop Aero 🚀 Rocket Cargo", "tagline": "Rockets that deliver cargo anywhere on Earth in minutes, including battlefields", "body": "**TLDR: We’re building rockets that deliver cargo faster than anything else on earth. We already have a $1.25M contract with the US Air Force for delivery to contest environments, and we’ve completed a tethered flight of our small-scale prototype.** 🚀🌎\\\n\\\n[https://drive.google.com/file/d/1dI3bRpiuqdShHQ2xHMhqOhPluYQMGS2B](https://drive.google.com/file/d/1dI3bRpiuqdShHQ2xHMhqOhPluYQMGS2B/view?usp=sharing)\n\n❌ **Problem**\n\nWhile Jacob was serving in the U.S. Marine Corps, Typhoon Haiyan had just swept through the Philippines. Jacob and his unit were given a clear order: deliver life-saving supplies of medicine and food as soon as possible. Despite working around the clock, the effort was regularly blocked due to aircraft breaking down, flight-critical parts being out of inventory, and pilot fatigue.\n\nSimilarly, when building his previous startup, Matija’s team were given 24 hours’ notice to deliver a satellite propulsion system to the mission integrator. FedEx and UPS could not guarantee on-time delivery, forcing Matija to make a 23-hour trip to hand-deliver the flight hardware. He spent the flight back thinking that there has to be a better way.\n\nIt turned out that it wasn’t just us. Everyone from startups to the U.S. military, needs faster delivery. We saw an opportunity to create the fastest form of transportation in the world.\n\n🚀 **Rockets are the answer**\n\nWe are building Rook, an autonomous rocket that delivers 250 kg of cargo up to 750 km away. That’s Okinawa to Taiwan in 15 minutes.\n\nRook launches from a standard 40-ft shipping container, flies through space, re-enters at hypersonic speeds and lands on unprepared surfaces, allowing it to launch and land anywhere on the planet. This opens up completely new commercial markets and military capabilities.\n\nRook can deliver swarms of autonomous unmanned systems to the battlefield, delivering a fully-autonomous 21st century D-Day effect for the U.S. and allies. The same Rook can deliver time-critical goods for manufacturing, automotive, aerospace, offshore oil and pharma, preventing downtime costs of up to $2M/hour.\n\n🏆 **Traction**\n\n* **Won a $1.25M DoW contract** from the US Air Force.\n* **Completed our first tethered test** at the Oklahoma spaceport on a small-scale prototype\n* **Successfully hot-fired our engine and igniter** built using hopOS, our AI-augmented secret sauce.\n\n🥷 **Team**\n\n**Matija (CEO):** Previously founded porkchop (electric propulsion for small satellites) - launched on SpaceX Transporter-3, built a $400M+ sales pipeline, sold the IP. Led a 20+ person supersonic UAV team at Destinus and scaled Ukrainian loitering-munition production from 10 to 100+ units/month.\n\n**Jacob (CTO):** US Marine Corps (MV-22 avionics) → SpaceX (Falcon 9/Heavy; built the OG booster refurb program) → Virgin Orbit (LauncherOne) → Masten (led systems integration & test on NASA's CLPS lunar lander) → SpinLaunch. A decade of making rockets fly on schedule.\n\n![uploaded image](/media/?type=post&id=107889&key=user_uploads/480112/7e957579-e672-47be-9433-9742f3c618bc)\n\n🙏 **Asks**\n\n* **Intros to DoW customers and end-users.** Anyone with warm paths into the Navy, PACOM, or program offices working contested logistics - we want to talk.\n* **Intros to commercial end-users.** Businesses with high downtime costs such as manufacturing, automotive, aerospace, offshore oil, pharma - all are right down our alley.\n* **Payload partners.** We want to deploy your drones, interceptors, electronic warfare jammers and more! Reach out if you want to give your product the ability to teleport to the battlefield!", "url": "https://www.ycombinator.com/launches/S49-hop-aero-rocket-cargo", "votes": 11, "created_at": "2026-07-28T14:33:36.526Z" } ] }, { "id": 33279, "name": "Hebbian Robotics", "slug": "hebbian-robotics", "former_names": [ "Vanda Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e7272f21860060f8aa33bb297af6d18fab5ffdc.png", "website": "https://hebbianrobotics.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Hebbian Robotics builds open source foundational infrastructure for Physical AI to develop robots that extend what humanity can do, for the benefit of the communities they serve.", "one_liner": "Foundational infrastructure for Physical AI", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1786123276, "tags": [ "Robotics", "Data Science", "Data Engineering", "AI", "Databases" ], "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/hebbian-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/hebbian-robotics.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hebbian-robotics/", "x_url": "https://x.com/hbr_pbc", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Hebbian-Robotics", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e7272f21860060f8aa33bb297af6d18fab5ffdc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/18513ded63751a708b6d42e2a84d2517cb404aaf.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 388120, "full_name": "Brandon Ong", "title": "Co-Founder", "founder_bio": "Brandon is the co-founder of Hebbian Robotics, which builds APIs that help robotics data teams verify data quality for model training. He previously built Gigit AI, a Sequoia-backed AI customer experience startup. His research on AI for low-resource languages topped SEA-HELM, an LLM benchmark co-developed with Percy Liang's research group at Stanford. He briefly pursued a PhD in Robotics at Columbia and NTU before starting Hebbian.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ongjjbrandon", "x_url": "https://x.com/brandon1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b65343ad1d0b482401872b3124da731618a3058.jpg" }, { "user_id": 968709, "full_name": "Kingston Kuan", "title": "Co-founder", "founder_bio": "Kingston spent the last few years at Jane Street building systems that scaled to millions of messages per second. He graduated valedictorian from the National University of Singapore (NUS) in Computer Engineering.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kingston-kuan/", "x_url": "https://x.com/kstonekuan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b674a8b80df5cd21ef03f13e6470d6126bc4c333.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109711, "title": "Hebbian Robotics - APIs for searching and analyzing Physical AI data at scale", "tagline": "We enable evaluation of data quality without training a robotics model", "body": "# \\*\\*\\*\\*\n\n**TLDR;**\n\n* **Hebbian Robotics builds APIs for searching and analyzing Physical AI data at scale**\n* Our APIs enable data providers to get **on-demand signals and metrics** on the quality of their data, without managing infrastructure\n* We help our customers evaluate data quality without training a robotics model\n\n\n\n**Our Ask**\n\n* Buyers want data they can trust. If you're selling egocentric or robot data, **Let’s Chat ([https://calendly.com/brandon-hebbianrobotics/30min](https://calendly.com/brandon-hebbianrobotics/30min)**) and we'll show you how quality signals and metrics help you sell more at higher prices\n* **Check out Pareto ([https://pareto.hebbianrobotics.com/](https://pareto.hebbianrobotics.com/)),** an example of how our APIs can be used\n\n### **Who We Are**\n\n* We’re Brandon and Kingston, we've trained AI models for industrial cleaning robots and built production systems for camera fleets across the globe\n* [**Brandon Ong**](https://bookface.ycombinator.com/user/388120)'s previous AI startup was backed by Sequoia. He did research on AI for low resource languages that topped Stanford’s LLM benchmark, SEA-HELM, and dropped out of his joint PhD in Robotics at Columbia and NTU\n* [**Kingston Kuan**](https://bookface.ycombinator.com/user/968709) spent years at Jane Street building systems that scaled to millions of messages per second. At Verkada, he worked on their core video surveillance platform that processed large scale multimodal data\n\n### **The Problem**\n\n* **High quality data is the bottleneck for unlocking the next frontier of intelligence in robotics**\n* Buyers want **data they can trust** \n* Data providers don’t have the bandwidth to provide signals and metrics about the quality of their data when they are **focused on** **operational excellence** \n* This means that **model developers are forgoing model improvements due to a lack of high quality data**, impeding progress in robotics\n\n### **Our Solution**\n\n* APIs for searching and analyzing Physical AI data at scale that enables providers to get **on-demand signals and metrics on data quality**\n* Buyers demanding per-collector hour limits? **Prove compliance while we stay ahead of the workarounds**\n* Changed standard operating procedures for collection? **Monitor for quality drift and regression**\n* Suspect duplicate samples? **Verify quickly with a single API call**\n* Our APIs enable **evaluation of data quality without training a robotics model, fast iteration cycles for** high quality data collection, and unlock **model improvements** \n\n### **How to reach us**\n\n* We want to support data providers who believe in collecting high quality data in an ethical way\n* To get started, email [**brandon.ong@hebbianrobotics.com**](mailto:brandon.ong@hebbianrobotics.com)", "url": "https://www.ycombinator.com/launches/SXX-hebbian-robotics-apis-for-searching-and-analyzing-physical-ai-data-at-scale", "votes": 81, "created_at": "2026-08-09T03:00:00.116Z" } ] }, { "id": 33281, "name": "Earendil Robotics", "slug": "earendil-robotics", "former_names": [ "Earendil Robotics Ltd" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/39ec6212427cdf833238bd48eca01f40904ba49f.png", "website": "https://earendil.io", "all_locations": "San Francisco, CA, USA", "long_description": "Earendil Robotics builds cUAS solutions for the modern warfighter, enabling effective air defence at the small-unit level. We deliver spotting, engaging, and destroying capabilities through advanced sensors, autonomous interceptors, and integrated systems.\r\n\r\nOur product lineup covers every stage of the kill chain, complemented by the Drone Warfare Academy that trains soldiers to eliminate enemy drone threats in contested environments.\r\n\r\nBacked by worldwide frontline combat experience, we equip units with combat-proven tools to counter evolving aerial threats.", "one_liner": "Drone swarm defence at a small-unit level", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1783628748, "tags": [ "Drones", "Swarm Robotics", "AR" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Defense" ], "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/earendil-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/earendil-robotics.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/earendil-robotics/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/earendil-robotics", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/39ec6212427cdf833238bd48eca01f40904ba49f.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": 3723601, "full_name": "James Walton", "title": "Founder/CEO", "founder_bio": "James Walton is Co-founder of Earendil. Former British Army and a UAS specialist with experience in Ukraine, he brings direct operational experience in contested electromagnetic environments and detachment-level drone integration challenges.\n\nPrior to Earendil, he founded and scaled two IT and telecoms companies. His frontline UAS expertise and operational delivery track record position Earendil to close the gap in scalable, NATO-aligned drone warfare training and interception.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/james-walton-79b35339a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fd50381f327469f83306e46ac417ca633252b142.jpg" }, { "user_id": 3723983, "full_name": "Dan Komorny", "title": "Founder/CTO", "founder_bio": "Dan Komorny is Co-founder of Earendil Robotics. He has a decade of experience in drones and security, including direct operational exposure in Ukraine. He has developed AR heads-up display applications and optical systems, and previously led hardware product development on drone payloads and turrets.\n\nThis combination of frontline insight, product development, and computer vision expertise positions Earendil to deliver advanced UAS and soldier systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dan-komorny/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7fed5227c8ec38cbb843d2210ae2f8e47d2dc39f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111175, "title": "Earendil | Autonomous Air Defence", "tagline": "Autonomous, combat-proven interceptors for defending against drone swarms.", "body": "**TL;DR:** We build autonomous interceptors that kill drones for less than the cost of the threat. Aeglos is in active operational use and has scored operational intercepts. The team has hundreds of confirmed combat intercepts. Looking for introductions to NATO-aligned air defence and C-UAS leads.\n\n\n\n**The problem**:\n\nAir defence economics are broken. A Patriot interceptor costs $3-7 million and is routinely used against $50,000 drones. Production rates of a few hundred units a year make these systems too scarce and too expensive for the volume of low-cost threats now in the air. They should be reserved for high-value targets.\n\nExactly like the Sherman tank versus the Tiger: it does not matter how good the system is if there are more threats than ammunition.\n\n**What we do**:\n\nAeglos is a high-speed autonomous interceptor designed end-to-end for the mass drone problem: airframe, autonomy software, and operator model. The operator clicks launch, then selects the intercept in software. No stage of flight requires a pilot and no flying experience is needed. One operator can control up to 64 interceptors. Engagement cost stays below the price of the drone being destroyed.\n\nMost C-UAS offerings are a single interceptor airframe. Operators still need skilled pilots, long training pipelines, and constant attention during the engagement. We built the complete system so any operator can achieve consistent intercepts without those requirements. The result is a system that can be fielded at the small-unit and critical-infrastructure level without the specialist crews or multi-million-dollar missiles that current layered air defence relies on.\n\nAeglos is operationally deployed, radar-agnostic, manufactured in Europe, and NDAA-compliant with no Chinese components.\n\n**Why us:**\n\nThe entire team is ex-military with frontline Ukrainian experience, primarily in elite units and air defence. Collectively, we have hundreds of confirmed drone intercepts across multiple systems. We designed Aeglos from that experience - in the same contested Ukrainian airspace where most Western systems have not yet been stress-tested at scale.\n\n[\\@James Walton](https://bookface.ycombinator.com/user/3723601): British Army and UAS expert with frontline Ukrainian experience who has previously run companies.\n\n[\\@Dan Komorny](https://bookface.ycombinator.com/user/3723983): A decade of experience in Drones and Security directly in Ukraine. Serial entrepreneur with multiple startups under his belt.\n\nThe Team: Commandos, Airborne, Special Forces and Air Defense veterans.\n\n**Ask**\n\nIntroductions to air defence and C-UAS leads in NATO-aligned militaries, national acquisition teams, and operators responsible for protecting forward positions and critical infrastructure.\n\nWe are also open to partnerships with complementary companies.\n", "url": "https://www.ycombinator.com/launches/Sv9-earendil-autonomous-air-defence", "votes": 4, "created_at": "2026-08-19T15:45:00.136Z" } ] }, { "id": 33312, "name": "Ethos Space Resources", "slug": "ethos-space-resources", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/26c677c7621160c55e8011d6851971173fe4f8e9.png", "website": "https://ethos-space.com", "all_locations": "Los Angeles, CA, USA", "long_description": "Ethos makes silicon on the Moon to power terawatt scale data centers. The Moon's surface is 21% silicon. We melt and electrolyze the lunar surface to make raw materials for solar panels. With solar panels made from the Moon, the constraint that limits data center scaling and everything else in space is gone.", "one_liner": "We make silicon on the Moon, to power everything in space.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1787528961, "tags": [ "Hard Tech", "Exascale Computing", "Energy", "Aerospace", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ethos-space-resources", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/ethos-space-resources.json", "year_founded": 2022, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ethos-space/", "x_url": "https://x.com/ethosspace", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/26c677c7621160c55e8011d6851971173fe4f8e9.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/33370/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAOTKCHR7A%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022740Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJHMEUCIQDeV7cQCYWa%2ByyakJaw7aH8e0HNWEyd2tO1Fn9KHjIpkgIgJPUveNomWrSf4Oq5DPuVDY7LKeaNJPvi5F2sbSx87Hoq5QMIOhAAGgwwMDYyMDE4MTEwNzIiDJ7%2FkqUU8p5mIeDC5CrCA7F4UggTYlVYiff4mYkoYiIpXa9r%2FKkUhcKwMNwtYpcuNTEBtH5xi9Hzkl3B%2FOYmUn%2FIacrdemsB9KrtOuRo%2FccaY%2Bs%2FSuIzime%2BcYuI7%2B%2Fg2nldjcm7YPCf32sIR8EflXc2916%2FDRMbztsRKDiQDL1ZKbK6YPHJppiQyVyRrrcCFD0X7tEf0D7QgK2DIpKnu8zGLzN4oAHn6xfHIgQnynrupcJbc9cga5AURtsRl7TfSM6XaGTtp1fNogyhUKX9f%2FYIL2pg03nlhLpRpDuqHpJ9qbbVsf%2FvboDHQ4IRRkiCaWH6GZwuTm%2FaXzTPIrAlVKH5%2F0RNaaExh%2Byw4VhHEEsSkHSs4mw%2BmNAKnW2FnWuldPRw5kn3j05dqhv5fkQxdp74JTYQe5wex1YN5PCok147bSKEuieYlIgH%2FiP9NY3Ym0ZRUWuo0zL40XWv9X3L1tLg%2BYWY0fCdhDKHGgTuesmbVajzEhu%2Bg9iWLptoK63cZ4UfO8oOd6sOc09XF6lBy%2BmD%2BSVmOfDWUOzz5ELD16slDTUwml0MZsttBoLDzldUc0olkl5nCAl23UqraiUXeaeW3yLOvJn%2BAD%2B%2FM6PvmZF0VzDn%2FdrWBjqlAVRsuTd0UsfPEqyKlBgBcSJTbWkHvSj10wzTCIqvOoZ3bz1TWza43iHLTCs7u%2FHmvoKE0qG5FTOsMYhLZb5XFdRretuo%2F1BjdoZt%2Fr0dHWGT4LLkmfYrkFclUq7u0pvMr6%2FR4I41ZYdCD3cWpGAcOrCQxKJukkkU%2Fx4O0IOnvZKvXzK4OISHe4XPgWQrnAJcSBOFX%2BXRwhpFbVXOOC%2BtEw%2BR3JTElw%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=60b56f24c8f17b5459a5b8412a9a835e1539c0cf6f5658b9bcb033320edc6ca0", "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/252852e7026776dd179fcebea3781488d68578fc.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 143296, "full_name": "Ross Centers", "title": "Founder/CEO", "founder_bio": "Lunar resource geologist. Founder of Planetary Sunshade Institute. Kardashev scaling since 2015.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/centers/", "x_url": "https://x.com/rosscenters", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a7da888d8bb4879eb5ed964886a037aa38c0859a.jpg" }, { "user_id": 3684585, "full_name": "Brogan BamBrogan", "title": "Founder/CTO", "founder_bio": "Employee #23 at SpaceX. Designed and built the 2nd stage engine for Falcon 1 as well as many elements of the Dragon spacecraft, including the primary heat shield, Draco thrusters, and more. Later co-founder & CTO at Hyperloop One and co-founder & CEO at Arrivo. Earlier engineering roles at Northrop Grumman and Chrysler Motors.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brogan-bambrogan/", "x_url": "https://x.com/BamBrogan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/589e273af2b0a3ff1590082a9389e7e3a73ecb05.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 112089, "title": "Ethos Space Resources", "tagline": "Silicon on the Moon for Terawatts in Space", "body": "**TL;DR**\n\n**Team**\n\nBrogan was employee #23 at SpaceX. He built the first Falcon and Dragon. Previously, he founded Hyperloop and Arrivo.\n\nRoss is a lunar geologist from the Colorado School of Mines. He previously founded the Planetary Sunshade Institute.\n\n**Problem**\n\nThere is infinite power in space. But rockets can’t carry enough solar panels. Rockets are the constraint.\n\n\n\n**Solution**\n\nPower in space must be made in space. Self replicating power and mass relieves the rocket constraint.\n\nThe Moon is made of Silicon (and other useful atoms). Silicon makes solar panels (and compute). Solar panels make energy, to refine more silicon and power more compute.\n\n\n\n**Traction**\n\n* Completed NASA contract\n* $1B LOIs from multiple customers\n* Going to the Moon in 2028\n\n**Why now**\n\nCapital needs from Earth will diminish as self-replicating power and mass grows on the Moon. Moving up the Kardashev scale will be a matter of wattage and tonnage, not dollars. If you’re not early to self-replication, you’re too late.", "url": "https://www.ycombinator.com/launches/T9t-ethos-space-resources", "votes": 17, "created_at": "2026-08-25T15:00:00.072Z" } ] }, { "id": 33319, "name": "Vernius Systems, Inc.", "slug": "vernius-systems-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6b4e6b2f945df4b3400a22fc1d287a788bc4215.png", "website": "https://www.vernius.systems", "all_locations": "San Francisco, CA, USA", "long_description": "We make mass-deployable radars for unmanned systems. Our first product is Archimedes, a radar seeker that finds and locks onto targets, enabling autonomous intercept on any drone. We have over $580M in LOIs for Archimedes, across some of the largest defense primes in Ukraine, the EU, and the Middle East.\r\n\r\nSeekers are the most critical and costly component in every autonomous interceptor. Developing a radar seeker takes a 200+ person team at Raytheon and hundreds of millions of dollars. Archimedes is 100x cheaper than existing radar seekers on the market - and is the first product to make it feasible to deploy radars on every drone.", "one_liner": "Mass-deployable radars for air defense", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1786812946, "tags": [ "Hard Tech", "Drones", "Radar", "Aerospace", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Defense" ], "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/vernius-systems-inc", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/vernius-systems-inc.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/feed/update/urn:li:ugcPost:7497551262893383680/", "x_url": "https://x.com/Arthur_NC_/status/2091903458748375240", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6b4e6b2f945df4b3400a22fc1d287a788bc4215.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": 366617, "full_name": "Arthur Nguyen-cao", "title": "Founder/CEO", "founder_bio": "Founder & CEO of Vernius Systems. 6+ years RF PCB engineering.\n\nLead 14 engineers at Defense Tech for Ukraine to develop FPV drone systems now fielded by Ukrainian units. Co-founded Auctify (raised $250K, featured in The Verge), where we built the world's first AI smart glasses. Developed the $2.6B USAF B-52 Commercial Engine Replacement Program proposal at Pratt & Whitney. Hobbies include computational fluid dynamics, rocketry, and civil aviation.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arthur-nguyen-cao-690847146/", "x_url": "https://x.com/Arthur_NC_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4373c5af412b516a25bd9d3afc5678c56a348e2e.jpg" }, { "user_id": 372571, "full_name": "Hisham El-Halabi", "title": "Founder/CTO", "founder_bio": "Founder at Vernius Systems. Previously founding engineer at Suave Money (HF0, Orange DAO-backed), building a non-custodial P2P fiat-to-crypto marketplace used by hundreds of thousands and adopted by YC startups Shor and Kontigo. Co-founder/CTO at Auctify, raising $77K in presales and pivoting to Sano AI calorie tracker (30K users, $2.5K MRR, $250K raised). BEng Engineering Science, University of Toronto.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hisham-el-halabi-001/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd887780cb538a001e6e2bb72deb018117b59f82.jpg" }, { "user_id": 409168, "full_name": "Joe Gonzalez", "title": "Founder/COO", "founder_bio": "CoFounder at Vernius Systems. Serial founder: built Plucky Labs (backend-as-a-service for AI chat), XP Protocol (scaled to 200K+ users, 50K+ MAU), and Huddln (venture-backed Web3 startup). Previously Solutions Architect at Sandia National Labs under Q clearance, architecting secure comms for US Navy Tomahawk fleet. BS Computer Engineering, Sacramento State.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jge-2a7937115/", "x_url": "https://x.com/joegonzalez0886?s=11", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/677db7a1244f2604393fb1cc01f838806ea6304f.jpg" } ], "jobs": [ { "id": 111262, "title": "Radar PCB Engineer", "url": "https://www.ycombinator.com/companies/vernius-systems-inc/jobs/g2rbXLu-radar-pcb-engineer", "location": "San Francisco, CA, US / San Jose, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$150K - $350K", "equity_range": "1.00% - 3.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "PCB design", "Altium" ] } ], "news": [], "launches": [ { "id": 111298, "title": "Vernius Systems - Autonomous radar guidance for interceptor drones", "tagline": "Radar for interceptor drones", "body": "[**Vernius Systems**](https://www.linkedin.com/company/vernius-systems-inc/posts/?feedView=all)\n\n**TL:DR;** Vernius builds radar seekers that turn any drone into a fully autonomous interceptor. We build and test on the frontlines with operators, under real conditions. Because of this, we’ve secured **$500M** in LOIs for 2027 from top defense manufacturers and elite military units across the US, EU, and Ukraine.\\\n\\\n[https://drive.google.com/file/d/191oElqMvXaizOijw1ZN2aTY3ckYOGfVC](https://drive.google.com/file/d/191oElqMvXaizOijw1ZN2aTY3ckYOGfVC/view?usp=sharing)\n\n**Backed By:**\n\nOur early investors include the **former U.S. National Security Advisor** (LTG HR McMaster), the **Chief Engineer behind VBAT, Shield AI’s flagship product** (Austin Howard), and **world renowned Ukrainian Military analyst** (Rob Lee).\n\n**Problem:** \n\n99% of interceptors on the battlefield still require a pilot for manual guidance. Jet powered attack drones deployed by our adversaries have become too fast to intercept manually, and now account for over **50% of all attack drones**. Autonomous solutions, like the Patriot class missiles, cost $4M per shot.\n\n**Solution:**\n\nWe build a radar that turns any drone into a fully autonomous interceptor, reducing the cost per kill from **$4M to less than $4K**.\n\n**About us:** \n\nWe bring over a decade of RF PCB engineering experience. We've built critical software for the US Navy Tomahawk missile fleet, satellites in low Earth orbit, and FPV hardware fielded by frontline operators.\n\n![uploaded image](/media/?type=post&id=111298&key=user_uploads/409168/e627de41-d230-4320-80bb-90173e045879)\n\n**Left to right:** [Hisham El-Halabi](https://www.linkedin.com/in/hisham-el-halabi-001/), [Joe Gonzalez](https://www.linkedin.com/in/jge-2a7937115/), [Arthur Nguyen-cao](https://www.linkedin.com/in/arthur-nguyen-cao-690847146/)\n\n**Ask:**\n\nIf you’re developing interceptors (or you know someone developing them), we would love to chat.", "url": "https://www.ycombinator.com/launches/Sx8-vernius-systems-autonomous-radar-guidance-for-interceptor-drones", "votes": 10, "created_at": "2026-08-24T15:00:00.720Z" } ] }, { "id": 33344, "name": "Dawn Industries", "slug": "dawn-industries", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/be237324cf82c0125a34763f99ffb0cf35ca384d.png", "website": "https://www.dawnxr.com", "all_locations": "San Francisco, CA, USA", "long_description": "VIM connects to the entire cell: PLCs, robots, CNC machines, sensors. When a cell faults, VIM finds the cause, stages the fix, and the operator approves with one click. When a part drifts, VIM catches it seconds after the cut, inside the machine, and recommends the correction. Recovery drops from 30 minutes to under two, saving more than $15,000 per fault in large factories.", "one_liner": "Automatic Diagnosis & Fix for Industrial Automation Cells", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1786150873, "tags": [ "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/dawn-industries", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/dawn-industries.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dawn-industries-inc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/be237324cf82c0125a34763f99ffb0cf35ca384d.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": 1720857, "full_name": "Joohyun (CJ) Cha", "title": "Founder/CEO", "founder_bio": "Founder at Dawn Industries (YC S26). Previously co-founder & CTO at Zipper, a creative collage social media backed by Unnoted Ventures (acquired by MetaZone). ML engineer at Avalo analyzing genomic data for crop development. Studied CS at Brown.", "is_active": true, "linkedin_url": "https://linkedin.com/in/joohyun-cha", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/02f28d9424990fbb7e48280e9e4384fa363a9c27.jpg" }, { "user_id": 2574843, "full_name": "Robin Lee", "title": "Founder/CTO", "founder_bio": "Founder at Dawn Industries. Previously founding engineer at NUUA, Aviation AI Startup that raised $10m.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robinlee02/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e9ac55f690cab2a816d964d148195dd9d0f44a2e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109744, "title": "Dawn Industries - Automatic Diagnosis & Fix for Industrial Automation", "tagline": "AI that understands the entire industrial cell and stages the fix in minutes.", "body": "Hey BF 👋 We are [@Joohyun (CJ) Cha](https://bookface.ycombinator.com/user/1720857) and [@Robin Lee](https://bookface.ycombinator.com/user/2574843), cofounders of [@Dawn Industries](https://bookface.ycombinator.com/company/33344). We’re building **VIM**, Automatic Diagnosis & Fix for Industrial Automation Cells.\n\n![uploaded image](/media/?type=post&id=109744&key=user_uploads/2574843/10398df4-83d1-4d24-860a-5ede83b91f9c)\n\n# **TL;DR:**\n\n**VIM is Sentry for industrial automation cells. When a cell faults, VIM reads the error code and the live machine signals, digs the root cause out of the OEM manuals and the cell's own history, and stages one safe fix for the operator to approve. When a CNC drifts, VIM catches it with the machine's own probe seconds after the cut and stages the offset correction. Downtime goes from hours to about a minute; scrap gets caught at part one instead of final inspection.**\n\nWatch how **VIM** works:\n\nRobot Cell Video: \n\nCNC Machine Video: \n\n# WHAT WE BUILT\n\nVIM sits on the cell and closes the loop from fault to recovery:\n\n1. **Connect**. Reads **PLC**, **HMI**, **robot**, **CNC**, **sensor**, and **driver state** without touching the controls you already trust.\n2. **Understand**. Matches the fault to live signals, the right page of the right manual, and this cell's own prior recoveries or trends the probe touches and traces drift to tool wear, thermal growth, a bumped fixture.\n3. **Recover**. Stages one bounded, validated action: a restart, a parameter change, an offset correction. The operator approves it like a pull request.\n\nBefore anything moves, the safety chain is verified: interlocks, light curtain, area scanner. VIM cannot bypass it; that's a precondition in the action policy, not a feature. And when the fault is genuinely hardware, VIM routes the incident to the right person with the exact diagnosis and repair steps attached, instead of a generic alarm and a prayer.\n\n**Autonomy is earned, not assumed**: VIM ships read-only, then one-click approval, then unattended recovery only on fault classes where it has earned trust. And it's mixed-vendor by design (FANUC robots and CNC controls, Universal Robots, Siemens, Allen-Bradley, Cognex, Keyence, Renishaw probes), because a cell is multi-vendor by definition and a copilot that speaks one vendor's language can't close the loop.\n\n![uploaded image](/media/?type=post&id=109744&key=user_uploads/2574843/83b531fe-5737-4f94-8b70-cd37330dae7c)\n\n# TEAM\n\n![uploaded image](/media/?type=post&id=109744&key=user_uploads/2574843/df76af6e-3516-4d76-9081-145424822ef3)\n\nWe're four people covering both halves of the problem.\n\n[Robin Lee](https://www.linkedin.com/in/robinlee02/) and [Joohyun (CJ) Cha](https://www.linkedin.com/in/joohyun-cha), cofounders, Robin was the founding AI engineer at an aviation AI startup, and built the production AI systems behind its $10M Series A and a 1st-place Minister's Award from Korea's Ministry of Science and ICT. CJ cofounded Zipper as CTO (acquired by MetaZone), did ML on genomic data at Avalo. We spent the past years in plants and machine shops learning all the faults and error that happen during manufacturing processes.\n\nOur founding engineers, come from Tesla and robotics research labs. They spent years building and fixing automation cells and various robot cases.\n\n# OUR ASK\n\n* **Intros to plant managers, manufacturing engineers, and controls engineers** at plants running robot cells (palletizing, case packing, welding, machine tending, inspection). If a stopped line ruins their week, we want to meet them.\n* **Intros to machining and quality leaders at plants and shops (primarily aerospace & defense) running CNCs**, anywhere scrap gets discovered at final inspection instead of at the machine.\n* **War stories.** Tell us about the cell that keeps stopping or the machine that keeps drifting. Best case, we make it your most reliable one.\n\nReach us at [joohyun_cha@dawnxr.com](mailto:joohyun_cha@dawnxr.com) or 401-226-3503, or book a demo at .", "url": "https://www.ycombinator.com/launches/SY4-dawn-industries-automatic-diagnosis-fix-for-industrial-automation", "votes": 12, "created_at": "2026-08-08T16:00:00.916Z" } ] }, { "id": 33349, "name": "Robocurve", "slug": "robocurve", "former_names": [ "Telos", "Robocurve PBC" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1cfdafb2f71eef92d986496e842d5218b330742b.png", "website": "https://robocurve.org", "all_locations": "San Francisco, CA, USA", "long_description": "Robocurve builds open-source tools and independent benchmarks to measure how well robots can do real-world jobs. Instead of relying on unverified demo videos from frontier labs, we score their models on reproducible benchmarks that anyone can trust.\r\n\r\nToday there are no well-run, standardized robotics benchmarks. Labs evaluate in-house, and no independent group has stepped in to run continuous benchmarking as a service. The result is that no one actually knows how good anyone else is, or where the real frontier sits.\r\n\r\nGood benchmarks require operating and maintaining physical hardware and real-world setups. Simulation only goes so far, since models that look strong in sim can show large performance gaps once deployed in the real world. Building real-world benchmarks means coordinating job-domain experts, evals engineering, and hands-on robotics all at once.\r\n\r\nFrontier labs are targeting general-purpose robotics by 2028, yet the field of robotics evals barely exists. Whoever builds the trusted measure of robot capability becomes the reference everyone relies on. We combine backgrounds in AI evals and robotics to build and grow this field as fast as possible. We already shipped v1 of our open-source framework, Inspect Robots, and ran our first pilot scoring a frontier model on a real robot.", "one_liner": "Evals for robots", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1783378088, "tags": [ "Hard Tech", "Hardware", "Robotics", "Open Source", "AI" ], "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/robocurve", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/robocurve.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/robocurve/", "x_url": "https://x.com/robocurve", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1cfdafb2f71eef92d986496e842d5218b330742b.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": 2392672, "full_name": "Jay Chooi", "title": "Founder/CEO", "founder_bio": "Founder and CEO of Robocurve. MA Statistics and BA CS/Math from Harvard. Jay builds evals of frontier AI and forecasts its progress. Previously Research Fellow at MATS, researcher at the UK AI Security Institute, and top contributor to Inspect Evals, the UK government's AI eval framework. Published at ACM EC, ICML, ACL, and EMNLP. Called the 2024 election correctly in all 50 states. Won a Rhodes Scholarship. Gold medal at the International Olympiad on Astronomy and Astrophysics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jeqcho", "x_url": "https://x.com/chooi_jeq", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5df96d3283ec234b3a09c35933b2582a7ef1a067.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 112513, "title": "Robocurve — Real-World Evaluations of Physical AI", "tagline": "Real-world evals for robots", "body": "Hi, I’m [Jay](https://www.linkedin.com/in/jeqcho/), co-founder of [Robocurve](http://robocurve.org). We measure and reports what frontier robots can actually do in the real world.\n\nOur launch video \n\nFrontier labs are racing to build general-purpose robots within two years, yet no one knows what today's robots are truly capable of. Demo videos of robots performing narrow, cherry-picked tasks proliferate, but there are no rigorous, continuous, standardized benchmarks for robotics.\n\nRobocurve builds benchmarks for robots and the AI models that control them, to help the world understand how far robotics has come and how fast it's moving. Our benchmarks range from playing Jenga and making a sandwich to constructing a data center.\n\nGeneral-purpose robots could arrive before the end of the decade, with far-reaching implications: accelerated data center buildouts, explosive economic growth from a fully automated economy, and intensified geopolitical competition between the US and China. Real-world evaluations from Robocurve will help clarify the timeline to general-purpose robots so that society can prepare for their arrival well ahead of time.\n\n[Jay](https://www.linkedin.com/in/jeqcho/) is a Rhodes Scholar and a top contributor to UK AI Security Institute's Inspect Evals. He has published papers in ICML, EMNLP, ACL, ACM EC and his research has been featured in MIT Technology Review. Previously, he spent time at AWS Bedrock, MATS, and Harvard where he completed his BA and MA with a highest honors thesis on AI and democracy.\n\nIf you build robots or AI models, reach out! We'd love to put them to the test. Learn more at [robocurve.org](http://robocurve.org).", "url": "https://www.ycombinator.com/launches/TGj-robocurve-real-world-evaluations-of-physical-ai", "votes": 12, "created_at": "2026-08-27T20:30:00.743Z" } ] }, { "id": 33408, "name": "Salem Robotics Inc", "slug": "salem-robotics-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fbf386dc8fa91340ed1cce1b80613f66e88ee12d.png", "website": "https://salemroboticsinc.com", "all_locations": "San Francisco, CA, USA", "long_description": "Our software turns any robot we deploy into an everyday independent worker at your facility. They are able to walk sites, handle instruments, overcome obstacles, collect measurements, and generate auditable compliance records, replacing hours of mandatory manual surveys and inspections. Built by Los Alamos robotics veterans and deterministic-manipulation researchers, we started in nuclear and are already expanding to other hazardous industries.", "one_liner": "Deploying robots to replace workers in hazardous spaces", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1783052221, "tags": [ "Hard Tech", "Robotics", "Energy", "Defense", "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/salem-robotics-inc", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/salem-robotics-inc.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/salem-robotics/", "x_url": "https://x.com/salemroboticshq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fbf386dc8fa91340ed1cce1b80613f66e88ee12d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4593ea24a36e629876ca1a48e9e7db1a683530c2.png" ], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 3403013, "full_name": "Caleb Horan", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO at Salem Robotics. Previously a published robotics PhD student at UT Austin, developing task planning for autonomous systems. NRC Fellow. Deployed multi-robot teams at Los Alamos National Laboratory's Plutonium Division. MS in Robotics from UT Austin.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/caleb-horan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e7cff240bcb1484bcdff91bb1419d9c25f3162cf.jpg" }, { "user_id": 3208433, "full_name": "Janak (Crasun) Panthi", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at Salem Robotics Inc. PhD in Robotics from UT Austin (Dec. 2026). 6 yrs industry experience leading product development and deploying quadruped robots in nuclear facilities. US Army.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/janak-panthi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/19b6a7b10bbd6739abbb938281eb9c068eebf9c0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108976, "title": "Salem Robotics - Autonomous robots for hazardous spaces", "tagline": "We deploy robots to perform autonomous inspections and surveys in hazardous spaces, like nuclear. ", "body": "We're [Caleb](https://www.linkedin.com/in/caleb-horan) and [Janak](https://www.linkedin.com/in/janak-panthi), PhD roboticists from UT Austin. We've spent a combined 15 years in nuclear, 10 of which deploying autonomous robots at Los Alamos National Lab, and we're building Salem Robotics.\\\n**TLDR:** Our software turns robots into independent survey and inspection workers at your facility.\n\n[Launch Video](https://youtu.be/7xObOE6knZM)\n\n## **Life and death pain worth $Millions/year**\n\nAt every nuclear facility, highly trained radiation-protection teams spend hours each day walking the site, filling out hand-drawn maps, and searching for something life-threatening: radiation. IN THE BEST CASE they find nothing, and still have to return to their posts to transcribe the data into a computer before doing the actual high-value work they were assigned. These surveys are time-consuming, dangerous, expensive, and prone to data inconsistencies that carry direct regulatory consequences.\n\nThe same pain exists well beyond nuclear. Whether it's gas-leak inspection or ammonia surveys, similar workflows run across oil, gas, chemical, biological, space, and other hazardous facilities.\n\n## **What we do**\n\nAn operator defines the work from a simple dashboard; the robot then navigates the site, handles instruments, opens doors, turns valves, collects measurements, and generates structured, auditable, compliance-ready reports. We're hardware-agnostic, so plants run our software on robots they already own, many of which sit in a closet today as \"$200k paperweights, \" or we can provide the right robot for the job. Our stack is designed for safety-critical infrastructure and comes with theoretical safety guarantees, exactly what regulators and plant leadership require. Our core manipulation framework was not possible before and is based on **breakthrough founder research** published and presented at the most prestigious IEEE journals and conferences in the world. \n\nWe're already in active contract-scoping conversations across the nuclear industry and oil & gas.\n\n**Our asks**\n\n* Intros to operations or innovation leaders in nuclear or similar hazardous sites (oil, gas, chem, bio, space).\n* Advice from founders who've sold into safety-critical industrial environments.\n* Sites where routine surveys are frequent, hard to staff, or particularly painful? We'd love to hear about them.\n\nComments, Emails, and DMs welcome. \\\n[Engage@salemroboticsinc.com](mailto:Engage@salemroboticsinc.com)", "url": "https://www.ycombinator.com/launches/SLg-salem-robotics-autonomous-robots-for-hazardous-spaces", "votes": 29, "created_at": "2026-08-04T19:00:03.963Z" } ] }, { "id": 33607, "name": "Atomarine", "slug": "atomarine", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6485491a38d727a14e926be75b62003c9f8fccff.png", "website": "https://atomarine.co", "all_locations": "San Francisco, CA, USA", "long_description": "We are building nuclear power delivery ships to power our floating compute barges at sea. Our systems are fully standalone, have better cooling, and avoid all the resource competition that leads to local community opposition. Our centralized manufacturing allows us to deploy anywhere on Earth, four times faster than on land.", "one_liner": "Floating nuclear powered data centers at sea.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1784997775, "tags": [ "Hard Tech", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "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/atomarine", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/atomarine.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/atomarine", "x_url": "https://x.com/Atomarine_co", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6485491a38d727a14e926be75b62003c9f8fccff.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 697566, "full_name": "Dimitris Koutentakis", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Atomarine. 4x MIT graduate. Previously Portfolio Management Associate at Arrowstreet Capital ($200B AUM), leading quantitative research on trade execution for $2B daily trades and broker selection across $180B annually. At Amazon, designed MILP optimization for electric fleet charging, quantifying $193M CapEx avoidance. MIT undergraduate, MEng in EECS, MS in Mech Eng, MBA from Sloan.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dkoutentakis/", "x_url": "https://x.com/_dkout", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ce898826845045bb5604021ca44fae86ccf728df.jpg" }, { "user_id": 3640819, "full_name": "Emile Germonpre", "title": "Founder/CTO", "founder_bio": "Co-founder at Atomarine (YC S26) || PhD in Nuclear Engineering + MSc in Chemical Engineering || Fulbright Scholar + Valedictorian of Ghent University's Engineering School", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emile-germonpr%C3%A9-766045245/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e8bf85b0bc0d2e7dce9804086a8546a8d7738964.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 107426, "title": "Atomarine: Floating Nuclear Data Centers", "tagline": "Floating Nuclear Powered Data Centers At Sea", "body": "\\*\\*We're building floating data centers on barges powered by nuclear ships at sea.\\*\\*\n\n\n\n![uploaded image](/media/?type=post&id=107426&key=user_uploads/697566/5530961e-115c-4010-b749-b4de1a939afa)\n\n\n\\\n**TL;DR:** We move data center campuses offshore, away from communities, onto standardized barges we build on a single manufacturing line. That gets us near-free cooling, no interconnection queue, no local opposition, and 2x faster deployment. First gas-powered pilot ready by 2028.\n\nWhy now: AI has created unprecedented demand for compute and power that cannot be satisfied onshore.\n\n* Grid interconnection timelines are **approaching a decade**.\n* Data centers drive up the local cost of electricity, rent and land, and make water scarce. Community opposition rising from those reasons has **killed more than half of planned projects** since 2025.\n\nWhat we're building: standardized, plug-and-play data center barges, built on one manufacturing line and towed to site. Moving offshore gives us:\n\n* **No interconnection queue and no community impact** because our system operates standalone.\n* More **scalable architecture** that offers **faster deployment** and tighter-controlled deliverability due to centralized construction and repeated site licensing\n* **Lower energy cost** due to **less capacity overbuild** than onshore behind-the-meter and **cheaper financing** for repeatable manufacturing compared to on-site construction (financing = \\~2/3 of the lifetime cost of a nuclear project)\n* Virtually **free cooling** from seawater.\n\nTraction: We already have early partnerships in place across the two hardest parts of this build:\n\n* **Offshore design & construction:** working with established offshore barge designer/builders.\n* **Nuclear power:** partnerships with multiple SMR vendors.\n\nWhy us: We're a two-founder team out of MIT with the exact mix this needs.\n\n* [@Emile Germonpre](https://bookface.ycombinator.com/user/3640819) has a PhD in nuclear engineering.\n* [@Dimitris Koutentakis](https://bookface.ycombinator.com/user/697566) has a BS/MEng in EECS, an MS in Mechanical Engineering, and an MBA, all from MIT, with deep connections to the Greek shipping industry.\n\n**Our ask:** We're looking for intros to decision-makers in compute infrastructure or data center development we can sell to, VPs of Data Center Construction, Directors of Infrastructure, and hyperscaler / neocloud teams. If that's you or someone you know, reach out at [dimitris@atomarine.co](mailto:dimitris@atomarine.co) & [emile@atomarine.co](mailto:emile@atomarine.co).\n\n![uploaded image](/media/?type=post&id=107426&key=user_uploads/697566/f5ce89e6-1e1b-485f-8b35-0e8c5298287e)\n\n", "url": "https://www.ycombinator.com/launches/Rwg-atomarine-floating-nuclear-data-centers", "votes": 24, "created_at": "2026-07-26T20:34:19.952Z" } ] }, { "id": 34365, "name": "Runtime.si", "slug": "runtimesi", "former_names": [ "Lambda Robotics", "Runtime" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/461a9d05728add7a3449b82167ac418e94d301eb.png", "website": "https://runtime.si/", "all_locations": "San Francisco, CA, USA", "long_description": "Runtime is building the evaluation layer for physical intelligence. We push robot policies to their limits across thousands of simulated worlds, before they face the real one.", "one_liner": "Evaluation Infrastructure for Robotics (YC F26)", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1785385611, "tags": [ "Robotics", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "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/runtimesi", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/runtimesi.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/runtime-yc-f26", "x_url": "https://x.com/runtimesi", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/461a9d05728add7a3449b82167ac418e94d301eb.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": 3900443, "full_name": "Chen Peng", "title": "Founder/CEO", "founder_bio": "Co-founder, CEO at Runtime.si. Researcher at UPenn's GRASP and Penn Engineering; Previously investment analyst at BlackRock. BA in Physics from UPenn.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chen-peng-6737681bb", "x_url": "https://x.com/chennpeng", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f13d7e62eab252812a41d0f0434752acd19c176f.jpg" }, { "user_id": 3900687, "full_name": "Yim Ying", "title": "Founder", "founder_bio": "Co-founder at Runtime.si. Full-stack robotics engineer focused on robotics productization, manipulation, and manufacturing.MechE @ Penn.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/qingyun-ying-46558235b?utm_source=share_via&utm_content=profile&utm_medium=member_ios", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3abf1241b0a3a88b9721dba23ce1cce5e431f5ea.jpg" }, { "user_id": 3133784, "full_name": "Liam Zhong", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Runtime.si. Researcher at UPenn GRASP, CV, Control, and RL. Reviewer and author for CVPR, etc. Robotics@Penn.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ningze-zhong-a62917388/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/44689e138268d43bdde7deebc7f696481422fcea.jpg" } ], "jobs": [ { "id": 102287, "title": "Mechatronics Engineer", "url": "https://www.ycombinator.com/companies/runtimesi/jobs/MzXnOwU-mechatronics-engineer", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$6K - $9K", "equity_range": "0.25% - 3.00%", "experience": null, "visa": "Will sponsor", "skills": [ "CAD Design" ] }, { "id": 102288, "title": "Electrical Engineer, Robotics", "url": "https://www.ycombinator.com/companies/runtimesi/jobs/CFyIFbn-electrical-engineer-robotics", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Robotics", "salary_range": "$6K - $9K / monthly", "equity_range": "0.25% - 3.00%", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 102289, "title": "Founding Software Engineer, Robotics Infrastructure", "url": "https://www.ycombinator.com/companies/runtimesi/jobs/0oIw1pj-founding-software-engineer-robotics-infrastructure", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Backend", "salary_range": "$6K - $9K / monthly", "equity_range": "0.25% - 3.00%", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 104228, "title": "Founding GTM", "url": "https://www.ycombinator.com/companies/runtimesi/jobs/UFzIOBo-founding-gtm", "location": "San Francisco, CA, US", "type": "Internship", "role": "Sales", "role_type": null, "salary_range": "$6K - $9K / monthly", "equity_range": "0.25% - 1.00%", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 34696, "name": "ChemPilot.ai", "slug": "chempilotai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c3f8543148c3a53ebe369d21ece622228018917.png", "website": "https://chempilot.ai/", "all_locations": "Haifa, Haifa District, Israel", "long_description": "We use AI and quantum-based simulations to discover and develop new materials for defense and dual-use applications, from energetics and propellants to carbon fibers, polymers, coatings and composites. Developing a new material today takes 10+ years of trial-and-error lab work. We compress that to months, using physics-based simulation, machine learning and AI agents that only send labs candidates that can actually be made.\r\n\r\nSam, Ofir and Maor have spent the past two years researching the discovery of these exact materials together at the Technion lab of our CSO, Prof. Alon Grinberg Dana (former MIT postdoc), working directly with defense primes and government R&D agencies. Together we bring deep expertise in chemical engineering, computational chemistry and AI, and the production systems to put them to work. ChemPilot spun out of that work.\r\n\r\nThe defense and dual-use industrial base runs on materials with fragile, sole-source and often adversarial supply chains, from energetics and propellants to carbon fibers, high-temperature composites and specialty polymers. Demand for new capabilities is surging, and materials take decades to develop. 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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": 35093, "name": "Aviern", "slug": "aviern", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/906b7c01faee6d9632f1f941bfe737812ec7d0b9.png", "website": "https://aviern.com/", "all_locations": "Los Angeles, CA, USA", "long_description": "Aviern makes unmanned cargo airplanes for commercial operations and defense logistics. 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Our system autonomously builds 100kWp of capacity per day and is easily scalable to MWs of capacity which is a size currently only serviced by slow moving and at capacity EPCs. \r\n\r\nAs demand from data centers, advanced manufacturing, and electrification strains existing power infrastructure, the ability to deploy substantial generation quickly is becoming increasingly valuable and unavailable. We are the only company that services utility-scale power needs in weeks. 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Morgan’s Healthcare Investment Banking group and was a founding team member at Pear Suite, an AI-enabled platform and provider network for community health workers (CHWs).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/frederik-mareels", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4fdab93252435eafd388ed9da5f52fe7125f97ed.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "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": 35355, "name": "Invertix", "slug": "invertix", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2332aa776f979c1ef83d3026fd24932b6576eea.png", "website": "https://www.invertix.ai", "all_locations": "Munich, BY, Germany", "long_description": "The next constraint is not intelligence, it is the energy and operational cost of running it.\r\nWe deploy custom AI models inside critical infrastructure companies that ingest SCADA data, work orders, human interventions, operational data no public model has seen, grounded in physics-informed neural networks and differentiable simulators. \r\nThis creates a flywheel: more operator data → better process understanding → more efficient operations → cheaper energy → cheaper AI → more deployment → more data. \r\n\r\nhttps://www.youtube.com/watch?v=0uDH6pMn5OE\r\n\r\nAI compute doubles every 2.2 years. Data center demand grows from 415 to 945 TWh by 2030. Without near-zero energy cost, AI remains limited by human infrastructure. We are the layer that runs AI at zero energy cost.\r\nEnergy is a $10 trillion market. The infrastructure layer doesn't exist yet. \r\nWe are building it.", "one_liner": "Energy Superintelligence, AI that operates critical infrastructure", "team_size": 8, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1789740763, "tags": [ "Solar Power", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/invertix", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/invertix.json", "year_founded": 2026, "city": "Munich", "country": "DE", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2332aa776f979c1ef83d3026fd24932b6576eea.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e09c46b000c5ff25f7042e775e76c8f61773eba1.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2057026, "full_name": "Joseph Perrotta", "title": "Founder/CEO", "founder_bio": "CEO at Invertix. Ex pro volleyball player, at 18 sold more than $17M of houses.\nPreviously at Cubbit, where they raised $25M. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joseph-perrottaa", "x_url": "https://x.com/josephperrotta_?s=11", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c94847dab0f5d6b7a96ecfa63944ac1372b58ca.jpg" }, { "user_id": 2234234, "full_name": "Kaan Durmaz", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Invertix. Previously worked in computer vision, differential privacy and ai for chemistry. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kdurmaz/", "x_url": "https://x.com/kdurmazx", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c13c2bd6f00b49f60836de5dce5ee88f099e7656.jpg" } ], "jobs": [], "news": [ { "title": "Invertix Labs launch", "url": "https://www.youtube.com/watch?v=0uDH6pMn5OE", "date": "Sep 18, 2026" } ], "launches": [ { "id": 116072, "title": "Invertix: Energy Superintelligence", "tagline": "Building AI agents to operate the world's energy infrastructure and data centers", "body": "Hey YC, we’re Joseph and Kaan.\n\nWe’re building **Energy Superintelligence: swarms of coordinated AI agents to operate energy infrastructure and data centers, carrying out work across entire organizations.**\n\nEnergy is one of the bottlenecks to scaling intelligence. Our vision is agents coordinating humans and other agents to operate, maintain, and build energy infrastructure worldwide, with applications extending to data centers.\n\n\n\n**How we got here**\n\nWe reached out to roughly 5,000 people in energy and had over 400 conversations. The same problem kept appearing: people were manually connecting fragmented data, investigating faults, and coordinating work across departments.\n\n**What we’re building**\n\nOur engineers work inside energy companies to map their data, workflows, responsibilities, and operating procedures. We combine that knowledge with an energy-specific ontology, giving specialized agents a shared understanding of the business and procedures they can follow. We see the same opportunity in data center operations: connecting equipment, maintenance procedures, suppliers, and on-site teams so agents can coordinate real work.\n\nThe system we’re building connects four things:\n\n1. **Onology:** equipment, telemetry, documents, contracts, and people in one connected model.\n\n ![uploaded image](/media/?type=post&id=116072&key=user_uploads/2057026/a14398e1-34a7-4399-a75f-c2ce6eb631c3)\n\n2. **AI Employees:** agents use different tools, correlate evidence across assets, and review each other’s findings. \n\n ![uploaded image](/media/?type=post&id=116072&key=user_uploads/2057026/70610c1d-cc3e-4c13-a96e-38a1acc6777f)\n\n3. **Physical execution:** agents coordinate interventions with humans, incorporate field observations, and verify production recovery.\n\n ![uploaded image](/media/?type=post&id=116072&key=user_uploads/2057026/7c425af9-22cb-44ec-9da9-dd79ce445a54)\n\n4. **Sofware builder:** We allow technical and non technical builders to build on top of the platform. creating visualizations, agents, ML models, all using the data of the platform and centered intelligence.\n\n ![uploaded image](/media/?type=post&id=116072&key=user_uploads/2057026/8abcc1a0-1a6d-44cf-8da9-74dbef23944d)\n\n\nOur ambition is coordinated agents at every critical infrastructure company in the world, helping produce more energy and accelerate intelligence.\n\nWe believe **Energy Superintelligence is a necessary step toward ASI.**\n\n**The founding team**\n\n_17th of December 2026 - YC Mountain View_\n\n![uploaded image](/media/?type=post&id=116072&key=user_uploads/2057026/a7dc00e4-7377-4136-8b3e-a57e081e523b)\n\n* **Nicole:** our first hire; black-hole physics, Max Planck research with Nobel laureates, and surgical robotics at Harvard Med.\n* **Menelaos:** led TUM ai E-Lab; Siemens and TUM ML research.\n* **Nicolas:** previously built and raised for his deeptech startup; leads GTM with Joseph.\n* **Simon:** EX JetBrains, leads product and agent systems.\n* **Pietro:** Leads FDE, Early hire at a startup that raised $30M.\n* **Vishisht:** Cambridge & UPenn Research; first hire at an a16z-backed startup.\n\nWe’re deployed Autonomously across **\\~2 GW**, signing two of the largest utilities in the world, with interest from **30+ energy companies**. And are woking with partners that have over **50 GW**\n\n**Our ask:** introductions to operations leaders at utilities, energy asset owners, O&M companies, and data center operators, especially in the US.", "url": "https://www.ycombinator.com/launches/UC8-invertix-energy-superintelligence", "votes": 8, "created_at": "2026-09-28T07:00:00.116Z" } ] }, { "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. This enables hardware teams to build and iterate at the speed of software so they can create elegant, reliable, ROI-positive robots and win massive markets.", "one_liner": "Quick-turn, purpose-built motors & actuators for all", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1790141770, "tags": [ "Hard Tech", "Robotics", "Drones", "Manufacturing", "Electronics" ], "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/open-actuation", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/open-actuation.json", "year_founded": 2026, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/143885703", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/04bbecc591031b8b78b9a43b4f8c9cd329829f72.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Charlie Warren", "url": null }, "founders": [ { "user_id": 1253977, "full_name": "Jon Facer", "title": "Founder/CEO", "founder_bio": "Founder at Open Actuation - electric motors and actuator mfg.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jon-facer-a88341145/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5613a845c13d368aec637282de95932c4733fa86.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35454, "name": "Shepherd Robotics", "slug": "shepherd-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aeedcbe594abc3d35bb21642c507ec105a0f502a.png", "website": "https://shepherdrobotics.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Shepherd Robotics builds general purpose robots for skilled physical work across AI infrastructure and advanced manufacturing. Our robots are powered by robot foundation models and use modular, flexible hardware designed to adapt to different environments and tasks. We train our systems on a combination of real world and simulation data so they can learn complex manipulation skills and generalize across workflows. We also provide integration into customers’ existing workflows, starting with data center construction and operations, electrical manufacturing and testing, and electronics manufacturing, where traditional automation struggles with variability, dexterity, and changing environments. ", "one_liner": "Robots for high skilled labor powering AI infrastructure", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1789000982, "tags": [ "Hardware", "Robotics", "Manufacturing", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/shepherd-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/shepherd-robotics.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aeedcbe594abc3d35bb21642c507ec105a0f502a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Charlie Warren", "url": null }, "founders": [ { "user_id": 987072, "full_name": "Feifei Duan", "title": "Founder/CEO", "founder_bio": "Cofounder and CEO at Shepherd Robotics. Ex-Waymo and Chef Robotics engineer.\nTrained large transformer models at Waymo and deployed robots into large food factories at Chef Robotics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/feifei-duan-607255125", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e18794d104befc26ce95ece503c146710f1faed3.jpg" }, { "user_id": 778599, "full_name": "David Fang", "title": "Founder/CTO", "founder_bio": "David Fang is co-founder and CTO of Shepherd Robotics. Previously, he was a Research Scientist at Dyna Robotics working on large-scale robot learning, and building ML systems for autonomous driving at Cruise.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/da-fang-8273b7116/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2ec6f51146461b14b10ea90c0da6865162e995e2.jpg" }, { "user_id": 2562853, "full_name": "Kai Ru", "title": "Founder", "founder_bio": "Founder at Shepherd Robotics. x Cruise & Rivian self driving cars, planning, research, foundational models.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pengkai-r-07086633/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/223c45b3097c524878bc0283aafac05c2146b6d9.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35455, "name": "Deploy", "slug": "deploy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d01c6f3a4b9cb73c5468cd6441f7c93909edb6a.png", "website": "https://deployrobotics.co/", "all_locations": "San Francisco, CA, USA", "long_description": "Deploy's core belief is that robots should be useful. Getting a generalist robot to do real work is fundamentally the same problem across industries. We build everything between the model and the task to bring generalist robots to the businesses that actually need them.", "one_liner": "The generalist robot deployment company.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1789089952, "tags": [ "Robotics" ], "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/deploy", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/deploy.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/deployrobotics", "x_url": "https://x.com/deployrobo", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d01c6f3a4b9cb73c5468cd6441f7c93909edb6a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Christopher Golda", "url": "https://www.ycombinator.com/people/christopher-golda" }, "founders": [ { "user_id": 3593535, "full_name": "Sahith Reddy Chada", "title": "Founder", "founder_bio": "Deploying generalist robots at Deploy. Research Engineer at Honda Research Institute building vision-language-action models and world models for robotics and autonomous vehicles. MS Robotics from UMn, BTech Aerospace Engineering from IIT Kanpur.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sahith-reddy-chada", "x_url": "https://x.com/sahithchada", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7420ef4a0d182dfb06daee92dc8e49c3fa294297.jpg" }, { "user_id": 3445935, "full_name": "Irene Grace Karot Polson", "title": "Founder", "founder_bio": "Deploying generalist robots at Deploy. Previously Autonomy Engineer at AeroVect, deploying self-driving vehicles at airports, flight data at Airbus. MS Robotics from UPenn, BS Aerospace from IIT Kanpur.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/irene-grace-karot-polson/", "x_url": "https://x.com/irenekarrot", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0d0cff2b295376185f768d9e81a3e11d369263c8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 121648, "title": "Deploy - The Generalist Robot Deployment Company", "tagline": "We turn generalist robots into a reliable workforce. ", "body": "Hello world, we’re [Irene](https://www.linkedin.com/in/irene-grace-karot-polson/) & [Sahith](https://www.linkedin.com/in/sahith-reddy-chada/), co-founders of [Deploy](https://deployrobotics.co/)!\\\n\\\n**TL;DR:** Deploy puts generalist robots, aka humanoid arms, to work in real businesses as a service. You pay for the work getting done (packing, kitting, returns, manufacturing, data center maintenance), not the robot.\n\n\n\n**Problem:** \\\nThe world was full of physical tasks no technology could automate till now. Generalist robot models can finally handle the messy, variable work that traditional automation never could: mixed orders, returns, tasks that change every day.\n\nBut a capable model isn't the same as a robot reliably doing the job on your floor. Most robotics projects stall in the gap between a good demo and a shift that runs 24/7. \n\n**Solution:** \\\nDeploy closes that gap. We’re the generalist robot deployment company. We turn generalist robots into reliable workers, and our customers pay for completed work, not the robot.\n\n**How it works:** \\\n→ We break each new task into a sequence of steps and track progress in real time\\\n→ The system knows what's done, what's next, and when a robot needs help\\\n→ Every human intervention becomes training data, so the robots get better the longer they run\n\n**The backstory**\\\n[Irene](https://www.linkedin.com/in/irene-grace-karot-polson/) and [Sahith](https://www.linkedin.com/in/sahith-reddy-chada/) have been building robots for over a decade, from opposite ends of the stack. Sahith built robot models at Honda Research Institute. Irene deployed autonomous vehicles in safety-critical airport environments. We kept hitting the same wall: deployment. Deploying across different robots and different models is fundamentally the same problem. If it’s one problem, one platform can solve it. So we’re building Deploy.\n\n![uploaded image](/media/?type=post&id=121648&key=user_uploads/3445935/cd171680-2427-4c8f-80fc-ceb223d46485)\n\n**Ask:** \\\nCan you introduce us to 3PLs, brands, warehouses or distribution centers that could benefit from rolling out robotics as a workforce? Reach us at [founders@deployrobotics.co](mailto:founders@deployrobotics.co) or [deployrobotics.co](http://deployrobotics.co).", "url": "https://www.ycombinator.com/launches/Ve4-deploy-the-generalist-robot-deployment-company", "votes": 7, "created_at": "2026-10-14T14:30:00.140Z" } ] }, { "id": 35487, "name": "Streamline Systems", "slug": "streamline-systems", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/989b85da2420d6592fdbd561cfe2e0802ebf6933.png", "website": "https://streamlinesystems.ltd/", "all_locations": "San Francisco, CA, USA", "long_description": "Streamline Systems is building the replacement for GPS. \r\n\r\nSatellite positioning has become the single point of failure for almost every modern system, both military and civil. We've built the replacement. A drop-in module that integrates with existing Ardupilot, INAV and PX4 flight controllers, with demonstrated satellite-independent autonomous flight and GPS handoff. We're currently working with commercial and military end users to deploy the capability.", "one_liner": "Precision navigation for UAVs operating without GPS. ", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1789759565, "tags": [ "Autonomous Delivery", "Drones", "Navigation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/streamline-systems", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/streamline-systems.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/143895601", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/989b85da2420d6592fdbd561cfe2e0802ebf6933.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": 2263217, "full_name": "Gabriel Poraj", "title": "Founder/CEO", "founder_bio": "Founder at Streamline Systems. Previously Senior Software Developer at Torus, a p2p protocol for AI agent swarms. Founded a content agency that scaled faceless creators to billions of views across 10 languages using custom Premiere Pro automation. Studying Aerospace/Information Engineering at Cambridge.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gabriel-poraj-14b756246?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dbf98b516cac723e95939bac13f5e3a3f12e5e30.jpg" }, { "user_id": 3651924, "full_name": "Charlie Jessett", "title": "Founder/COO", "founder_bio": "Founder, COO Streamline Systems \nCambridge Graduate - 3rd in Cohort \nRAF Reservist ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/charlie-jessett-194142278/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f06eb1fdfd945ab9bc205f46aba0a63ed5b3e155.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35522, "name": "Hemlock", "slug": "hemlock", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9593981f6acf78f7e8d4417ca9346aed3d279da4.png", "website": "https://hemlock.inc", "all_locations": "San Francisco, CA, USA", "long_description": "Every serious robotics lab is bottlenecked on the same thing: demonstration data. The field has converged on egocentric video and hand pose as the substrate, and both are now cheap to collect at scale. What neither of them contains is force. A video of someone picking up an egg and a video of someone picking up a rock are nearly identical in pixel space and nearly identical in joint angles. They differ almost entirely in a quantity nobody is recording. Policies trained without it learn geometry and inherit no sense of touch.\r\n\r\nHemlock closes that gap at the source. Our device, the Bracelet, is a wrist-worn surface EMG band that reads the electrical activity of the forearm muscles that actually drive the hand, which means it recovers contraction force directly rather than inferring it from motion. This distinction is the whole thesis: force cannot be reconstructed downstream of kinematics, because a hand squeezing hard isometrically and a hand resting can occupy the identical pose. Muscle signal is the only non-invasive channel that separates them.", "one_liner": "Force-sensing wristband for training robotic AI", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1786491305, "tags": [ "Hard Tech", "Hardware" ], "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/hemlock", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/hemlock.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hemlock-industries-inc", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9593981f6acf78f7e8d4417ca9346aed3d279da4.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": 2947535, "full_name": "Julian Olschwang", "title": "Founder/CEO", "founder_bio": "Founder at Hemlock. CMU Electrical and Computer Engineering dropout. Previously built GANs for military robotic data generation at the UCLA Biomechatronics Lab.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/julian-olschwang", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/75fddadf0197d758db2bdf896d761e96ca70acbf.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35523, "name": "twentyfour26", "slug": "twentyfour26", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ceb91f5325b460f109e85bc25abd1618a24863cb.png", "website": "https://twentyfour26.com/", "all_locations": "San Francisco, CA, USA", "long_description": "twentyfour26 builds autonomous CNC machining cells for rapid prototyping, so hardware teams can iterate with software speed.", "one_liner": "On Demand CNC Prototyping ", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1786424480, "tags": [ "Robotics", "Manufacturing", "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/twentyfour26", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/twentyfour26.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/ceb91f5325b460f109e85bc25abd1618a24863cb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Charlie Warren", "url": null }, "founders": [ { "user_id": 2845196, "full_name": "Hemant Mahendru", "title": "Founder/CEO", "founder_bio": "Co-founder at twentyfour26. MS Aerospace at UIUC.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hemantm2/", "x_url": "https://x.com/hemanthug", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/279980a416ade3b37ecf6fc96fc7ec584d608c99.jpg" }, { "user_id": 2724683, "full_name": "Sam Mathew", "title": "Founder/CTO", "founder_bio": "Co-founder at twentyfour26. 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By allowing AI models to control the satellite using deterministic tooling, we are able to achieve the same holistic, high-quality decisions on \"what\" to do to carry out a mission while maintaining the safety of systems that decide \"how\" to execute it. 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Compute costs keep soaring amidst a global LPDDR shortage; NVIDIA just doubled the prices of Jetsons in July.\n\n**We're taking a contrarian bet that the future is moving inference _off the robot_ and _into the cloud._**\n\n![uploaded image](/media/?type=post&id=115448&key=user_uploads/3499827/4ca20fc9-00a8-4043-bc43-d51b8b5d0cbf)\n\nHow do we do this? 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You can read our thesis here:\n\n•⁠ ⁠\n\n\\\n**Our ask:** Reach out at [founders@dreamscalelabs.com](mailto:founders@dreamscalelabs.com) !", "url": "https://www.ycombinator.com/launches/U24-dreamscale-labs-running-robot-brains-in-the-cloud", "votes": 52, "created_at": "2026-09-17T23:00:00.159Z" } ] }, { "id": 36081, "name": "Polemos Industries", "slug": "polemos-industries", "former_names": [ "Lokberg Industries" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/52d6be23c1a08e2020010a26b5bd336554572d38.png", "website": "https://lokberg.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Precision strike is rationed. Forces see more targets than they can afford to hit.\r\n\r\nPolemos builds AI-guided ballistic missiles and the compact launchers that fire them, designed for mass manufacturing. 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Previously Visiting Scholar at National Institute of Informatics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maelicneau", "x_url": "https://x.com/MaelicN", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ae1fe59a371a12d1340c627534559abaea4f4868.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 36776, "name": "UXDuck", "slug": "uxduck", "former_names": [ "uxduck" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe3dd63fd9bab004c38089f8c0ed95063c64bb18.png", "website": "https://uxduck.com", "all_locations": "San Francisco, CA, USA", "long_description": "Starting with a modern interface for drones that users can build on and adapt. \r\n\r\nWorks with planes, copters, rovers, boats and submarines.\r\n\r\nTry it in 5 seconds with simulated drones - https://uxduck.com/", "one_liner": "Build better drones. 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Then became tech lead at stealth defense startup, joining as SWE #1. Scaled company to 70 people and 1000+ drones, used operationally with success. Works closely with soldiers from various countries. CS from Imperial College London and MIT.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bbutterworth/", "x_url": "https://x.com/uxduck", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b4029349a6239928e59b2168cf35bf117b2c105.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 37401, "name": "Theseus Robotics", "slug": "theseus-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7e2fc8bde838b206a0f59886a05a00e2d3d89335.png", "website": "https://theseus.bot/", "all_locations": "ZH, Switzerland", "long_description": "Theseus Robotics creates the OS & Physical AI to deploys humanoids to automate menial tasks in supermarkets. During the day, our robotics pick orders for e-grocery orders. Overnight, they restocks shelves with goods from the back warehouse. 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Previously founded and scaled Parts World USA from sub-$100k to $3M revenue in 4 years by building global supply chains across China, India, Vietnam, Malaysia & USA. Founded Jumps Tronic (hardware manufacturing). Worked on ML at Facebook and HP. BS in Computer Science from Carnegie Mellon; Dropped out of ETH Zürich.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sam-malhotra", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/403466207082fcec6636388b8a98bc53905bd948.jpg" }, { "user_id": 3185593, "full_name": "Kristof Floch", "title": "Founder/CTO", "founder_bio": "Founder/CTO at Theseus Robotics, developing AI for humanoids that restock shelves and pick grocery orders. Previously VP of Technology at ETH Robotics Club, leading 120 robotics students across six teams. Researched high-performance learning-based control at ETH Zürich and SZTAKI. First-author publications in IEEE TCST and at ECC. ETH Zürich Excellence Scholar in Robotics, Systems and Control.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kristof-floch", "x_url": "https://x.com/kristof_floch", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0b4fc486294601139a191d8aea184d2510aa5880.jpg" }, { "user_id": 4027568, "full_name": "Ádám Weinhardt-Kovács", "title": "Founder/CPO", "founder_bio": "Founder/CPO at Theseus Robotics. Previously robotics engineer at Flink Robotics, where he led deployment of a pick-and-place system at live sorting centers achieving 800 picks/hour matching human performance. Designed full robotic work-cells and built custom pneumatic grippers. Published ML research on vehicle dynamics at IFAC SYSID 2024. MA in Robotics from ETH Zürich.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adam-weinhardt/", "x_url": "https://x.com/AdamWeinhardt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/49ba95ea880e2aa533b2c69d0ea69f567dcda74d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 37601, "name": "Lark", "slug": "lark-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/658417946c5809d1681eb90f9636442c2526cc5c.png", "website": "https://larkagents.com", "all_locations": "San Francisco, CA, USA", "long_description": "Lark deploys AI agents that automate manual workflows for wholesale distributors, everything from customer quotes to inventory managment. Our agents work with existing ERP systems, learning from each distributor’s historical data and the team’s decisions. Together, these agents can run a distributor’s entire operation.", "one_liner": "Lark - AI agents that automate workflows for wholesale distributors", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1789595493, "tags": [ "B2B", "Supply Chain", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/lark-2", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/lark-2.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/larkagents/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/658417946c5809d1681eb90f9636442c2526cc5c.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": 3433862, "full_name": "Jason Wang", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Lark (F26). Prev founded Datost (backed by YC) grew ARR to 400k in 8 weeks. Prior, I built agentic systems for the industrial supply chain at Traba and worked on the Flink control plane at Confluent. Graduated from University of Toronto, degree in computer engineering with double minor in AI and Business ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jasonhy-wang/", "x_url": "https://x.com/jasonhywang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e7d88ac1e0485e69fabb44b993b739952ccefa18.jpg" }, { "user_id": 3950020, "full_name": "Michael Wang", "title": "Co-Founder", "founder_bio": "Co-Founder of Lark (YC F26). NYU Stern dropout. 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Hundred helps factories cut waste and prevent line-down issues by catching sub-millimeter cosmetic defects before parts reach the assembly line. \r\n\r\nIn the consumer electronics industry, designs change so fast that traditional machine vision can't keep up, forcing factories to rely on manual inspection, literally people checking parts under microscopes to sort out bad parts. Human inspectors miss roughly 15% of defects, and a single bad part can turn a finished device into scrap. Hundred is replacing manual inspection with an imaging rig that scans an entire shipping tray of parts at once. \r\n\r\nThe Hundred rig blocks ambient light and uses varied controlled lighting configurations to detect defects smaller than 100µm on a range of materials. The controlled environment means Hundred only needs to scan a single good part before it can find defects, categorize them, and assess their severity accurately.\r\n\r\nDefects cost U.S. discrete manufacturers $45 billion a year, a problem Hundred's CEO, Erica, saw firsthand as a mechanical engineer designing devices at Meta, Google, and Magic Leap. She met Imani, Hundred's CPO, at Columbia University's admitted-students day in 2017 and Imani went on to spend five years at Twitch building software that handles billions of requests a day. Erica later met Iris, Hundred's CTO, in the Bay Area. Iris worked as a quant at Citadel before pivoting to study at Imperial College London where she researched machine learning on 3D meshes and other structured data. Together, they're building Hundred because manual inspection shouldn't still exist in 2026.", "one_liner": "100% automated inspection for consumer electronics parts", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1790785673, "tags": [ "Hard Tech", "Hardware", "Machine Learning", "Computer Vision", "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/hundred", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/hundred.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hundred-systems-inc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9f26995d92445a7e77c0839448bb04ca0c89f08.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": 3535016, "full_name": "Erica Diaz", "title": "Founder/CEO", "founder_bio": "Erica is co-founder and CEO of Hundred (YC F26).\nPreviously spent 5.5+ years at Meta, Google, and Magic Leap designing hardware for consumer electronics, and resolving issues on the ground with vendors in China and Mexico.\n\nColumbia University, BS Mechanical Engineering.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/erica-diaz1/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ec31907973b972abef2c8b6371b1ae58f453c85.jpg" }, { "user_id": 317644, "full_name": "Imani Gosserand", "title": "Founder/CPO", "founder_bio": "Co-founder and CPO of Hundred (YC F26).\nPreviously Software Engineer at Twitch working at the intersection of notifications, short-form content, and ML.\n\nBS Computer Science from Columbia University", "is_active": true, "linkedin_url": "https://linkedin.com/in/imani-gosserand-804a10175", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/21384b93ca0a4b32ae2f6ed591a1d96b794799e0.jpg" }, { "user_id": 4149004, "full_name": "Iris Liao", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Hundred (YC F26).\nPreviously Quantitative Researcher at Citadel.\nSpent the last year researching machine learning methods on 3D meshes and other structured data. \n\nMSc Applied Mathematics, Imperial College London\nBA Mathematics, Columbia University", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/iris-liao-03b041152", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e8c56193fe88be22d7e68840f5171512f9f41919.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 37999, "name": "RATLOG", "slug": "ratlog", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c91e646aa134e7ed3da1082d56c2a3cdd68f8337.png", "website": "https://www.ratlog.space/", "all_locations": "Dresden, SN, Germany", "long_description": "", "one_liner": "Reusable heavy-lift rockets", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1791657873, "tags": [ "Commercial Space Launch" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ratlog", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/ratlog.json", "year_founded": 2026, "city": "Dresden", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/103988498/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c91e646aa134e7ed3da1082d56c2a3cdd68f8337.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Kulveer Taggar", "url": null }, "founders": [ { "user_id": 3609163, "full_name": "Charlie Weise", "title": "Founder/CEO", "founder_bio": "Founder/CEO at RATLOG (YC F26). YETI G1 Fellow. Previously Research Intern at Aerospace Institute (Technical University Dresden) working on ESA's Argonaut Moon Lander. Co-founded Innuendo, developing an air-breathing cruise missile powered by RDE. Research Assistant at Fraunhofer IWS on ESA space telescope project.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/charlieweise/", "x_url": "https://x.com/_charlieweise", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/82035ba1fa3819c04cf44c2df2011bd5d26c8507.jpg" }, { "user_id": 3173499, "full_name": "Matty Driesnack", "title": "Founder/COO", "founder_bio": "Founder/COO at RATLOG (YC F26). Founding team at Lio (YC S23, a16z), working closely with CEO and COO. MS Business Administration from TU Dresden.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matty-driesnack/", "x_url": "https://x.com/MattyDriesnack", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/03cd305c416d6b285b67fb6e178047263253fb7d.jpg" }, { "user_id": 3682410, "full_name": "Felix Kelm", "title": "Founder/Engineering", "founder_bio": "Founder/Engineering at RATLOG. Previously Electronics Lead at Innuendo, building an air-breathing cruise missile powered by a rotating detonation engine. Developed PCB since age 16. Electrical Engineering at TU Dresden and Telecommunication at INSA Lyon.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/felix-kelm-666a00407/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/98f173382ff29f29da37dec1c79babddafe8b170.jpg" }, { "user_id": 3682444, "full_name": "Paul Kunhart", "title": "Founder/CTO", "founder_bio": "Founder/CTO at RATLOG (YC F26). Designed rocket engine nozzles for ESA's Argonaut lunar lander at Technical University Dresden's Aerospace Institute. Previously co-founded Innuendo, leading engine design on an air-breathing cruise missile powered by a rotating detonation engine. Studying Aerospace Engineering at TU Dresden.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/paul-kunhart-577266392/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b491647c0e51e6d70592ca9d0b3c7bbce37073c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 122077, "title": "RATLOG: Reusable heavy-lift rockets powered by an engine with 90% fewer parts", "tagline": "First engine hot-fired in 4 months for under $30K. $400M in launch reservations signed.", "body": "𝗧𝗟;𝗗𝗥: Launch capacity is becoming a bottleneck, so we at RATLOG are 𝘁𝗮𝗸𝗶𝗻𝗴 𝗼𝗻 𝗦𝗽𝗮𝗰𝗲𝗫 with reusable heavy-lift rockets powered by an engine designed to use 𝟵𝟬% 𝗳𝗲𝘄𝗲𝗿 𝗽𝗮𝗿𝘁𝘀 than conventional designs. We built and successfully hot-fired our first engine in 𝗷𝘂𝘀𝘁 𝗳𝗼𝘂𝗿 𝗺𝗼𝗻𝘁𝗵𝘀 and have signed reservation agreements worth $𝟰𝟬𝟬𝗠. Now we are printing an engine with 𝟮𝟬𝟬𝘅 𝘁𝗵𝗲 𝘁𝗵𝗿𝘂𝘀𝘁 for a hot fire in November. If you’re a satellite operator, [reach out to us asap](https://calendar.app.google/xPzyR7iHmEJ3Gt116)**.**\n\n\t\n\n𝗣𝗿𝗼𝗯𝗹𝗲𝗺\n\nSatellite operators need to put more mass into orbit than ever, but an available launch slot can be 𝟯–𝟰 𝘆𝗲𝗮𝗿𝘀 𝗮𝘄𝗮𝘆 and cost up to $𝟭𝟱,𝟬𝟬𝟬 𝗽𝗲𝗿 𝗸𝗶𝗹𝗼𝗴𝗿𝗮𝗺. Every delay pushes back the start of operations and revenue.\n\nAs satellite constellations grow and new projects like space stations and orbital data centers take shape, customers need more launch capacity and more options.\n\nAs one European launch broker put it: “𝗜𝘁’𝘀 𝗴𝗼𝗹𝗱 𝗿𝗶𝗴𝗵𝘁 𝗻𝗼𝘄 𝗶𝗳 𝘆𝗼𝘂 𝗵𝗮𝘃𝗲 𝗮 𝘀𝗹𝗼𝘁.”\n\n𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻\n\nWe’re building 𝗿𝗲𝘂𝘀𝗮𝗯𝗹𝗲 𝗵𝗲𝗮𝘃𝘆-𝗹𝗶𝗳𝘁 𝗿𝗼𝗰𝗸𝗲𝘁𝘀 𝘁𝗼 𝗰𝗮𝗿𝗿𝘆 𝗽𝗮𝘆𝗹𝗼𝗮𝗱𝘀 𝗼𝗳 𝘂𝗽 𝘁𝗼 𝟮𝟬 𝘁𝗼𝗻𝗻𝗲𝘀, powered by an engine architecture that aims to use 𝟵𝟬% 𝗳𝗲𝘄𝗲𝗿 𝗽𝗮𝗿𝘁𝘀 than conventional designs.\n\nWe’ve 𝗲𝗹𝗶𝗺𝗶𝗻𝗮𝘁𝗲𝗱 𝘁𝗵𝗲 𝘁𝘂𝗿𝗯𝗼𝗽𝘂𝗺𝗽 by using a different method to pressurize the propellants and developed a **new rocket engine cycle** around it.\n\nThis simpler architecture reduces manufacturing complexity and cost, while reusability spreads the cost of the hardware across multiple flights.\n\nThink of it as a 𝗯𝘂𝘀 𝘁𝗼 𝘀𝗽𝗮𝗰𝗲: customers book capacity on a shared flight and pay by the kilogram.\n\n**Team**\n\nCharlie and Paul met through mutual interest in rotating detonation engines for cruise missiles and started a club, then met Felix and Matty.\n\n![uploaded image](/media/?type=post&id=122077&key=user_uploads/3173499/08b61f2e-5027-4a5d-912e-96e7381e9cd3)\n\nFrom left to right\n\n* 𝗙𝗲𝗹𝗶𝘅 𝗞𝗲𝗹𝗺, Chief Avionics Officer: Developed PCB designs since the age of 16.\n* 𝗖𝗵𝗮𝗿𝗹𝗶𝗲 𝗪𝗲𝗶𝘀𝗲, Chief Executive Officer: Previously worked on ESA's Argonaut Moon Lander and space telescope.\n* 𝗠𝗮𝘁𝘁𝘆 𝗗𝗿𝗶𝗲𝘀𝗻𝗮𝗰𝗸, Chief Operating Officer: Founding team at Lio (YC S23, a16z), working closely with CEO and COO.\n* 𝗣𝗮𝘂𝗹 𝗞𝘂𝗻𝗵𝗮𝗿𝘁, Chief Technology Officer: Designed rocket engine nozzles for ESA's Argonaut lunar lander.\n\n**Traction**\n\n* Signed reservation agreements worth $𝟰𝟬𝟬𝗠.\n* Built and successfully hot-fired our first rocket engine in 𝗷𝘂𝘀𝘁 𝗳𝗼𝘂𝗿 𝗺𝗼𝗻𝘁𝗵𝘀.\n* Spoken with 𝟳𝟬+ 𝗽𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝗹𝗮𝘂𝗻𝗰𝗵 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀.\n\n**Ask**\n\n* If you’re building satellites, space stations, or orbital data centers, we’d love to discuss your launch plans. Book a meeting [here](https://calendar.app.google/xPzyR7iHmEJ3Gt116) or reach us at [charlie.weise@ratlog.space](mailto:charlie.weise@ratlog.space).", "url": "https://www.ycombinator.com/launches/Vkz-ratlog-reusable-heavy-lift-rockets-powered-by-an-engine-with-90-fewer-parts", "votes": 3, "created_at": "2026-10-15T15:00:00.047Z" } ] }, { "id": 38094, "name": "Super Powers Mobility (SPM)", "slug": "super-powers-mobility-spm", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a5c35648a3ac00d7da1ce27b5b0a62372c6a5f2e.png", "website": "https://www.spm.fun", "all_locations": "Pittsburgh, PA, USA", "long_description": "We started off building 470V high voltage electric off-road vehicles but we realized our ultra power dense battery packs are useful for mobile and stationary energy storage and power export, for military and consumer use cases. We develop battery packs, power electronics, and traction powertrain systems for vehicles.", "one_liner": "Modular battery packs for mobility/vehicles", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1788100804, "tags": [ "Energy Storage", "Unmanned Vehicle", "Electronics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/super-powers-mobility-spm", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/super-powers-mobility-spm.json", "year_founded": 2023, "city": "Pittsburgh", "country": "US", "linkedin_url": "https://www.linkedin.com/company/superpowersmobility", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a5c35648a3ac00d7da1ce27b5b0a62372c6a5f2e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Charlie Warren", "url": null }, "founders": [ { "user_id": 1979736, "full_name": "Jonathan Powers", "title": "Founder/CEO", "founder_bio": "Founder/CEO at Super Powers Mobility (YC F26). Previously Senior Mechanical Design Engineer at Tesla, leading Cybertruck architecture integration including drive units, structures, exterior surfaces, occupant seating, low and high voltage distribution routing, and safety systems. Earlier lead brake system on electric vehicle development at Workhorse and powersports design at Honda R&D. MS & BS in Mechanical Engineering, MBA from Pitt. Also was a pro off-road racer during college. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jonathancpowers/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/785f983ba364140a70ee62f55b77dbfb3babfe1c.jpg" } ], "jobs": [], "news": [ { "title": "Pittsburgh startup pitches EV kit to elite troops", "url": "https://defence-blog.com/pittsburgh-startup-pitches-ev-kit-to-elite-troops/", "date": "Jul 18, 2026" } ], "launches": [] }, { "id": 38492, "name": "Mantle", "slug": "mantle-2", "former_names": [ "Kyvore" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7073e1cf7c2495368d081bd479283a8c160179f2.png", "website": "", "all_locations": "San Francisco, CA, USA", "long_description": "Mantle is a full-stack field service company that deploys, fixes and maintains machines for the companies that build them. We're not a marketplace or software tool, we own uptime directly to provide better, more reliable service without burdening your engineers on support calls. \r\n\r\n$500B+ a year is spent to keep machines running in the US, we're coming for all of it.\r\n", "one_liner": "The pit crew for machines and robots.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1790190684, "tags": [ "Hardware", "Robotics", "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/mantle-2", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/mantle-2.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/7073e1cf7c2495368d081bd479283a8c160179f2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1159251, "full_name": "Kieran White", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at Mantle, the pit crew for deployed machines and robots.\n\nPreviously founded Curo (YC F24), the world's largest private EV charging network. Curo scaled to 5,000 stations with Uber, Zoox and Google across 15 states before acquisition by Inspiration Mobility Group ($415M raised).\n\nBefore Curo I joined Tesla at 18 as the youngest employee.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kieran-luke-white", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7be1f2e4cf0534df456c1bb228513defaf8da7bc.jpg" }, { "user_id": 3268116, "full_name": "Graham Smith", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO at Mantle, the pit crew for deployed machines and robots.\n\nPreviously founded Babylon, the world’s largest fleet of autonomous vertical farms. Babylon raised $22M and deployed 400 farms with Compass, LinkedIn and American Airlines.\n\nBefore Babylon I scaled an electronics repair business I started at 14.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/graham-smith-a69572130", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/df721112dac33cfa183258ca717c4e4d51e9a2b6.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 38589, "name": "Keres", "slug": "keres", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d410d4ceb3965f8c5b5e653e10007865ff03aaf9.png", "website": "https://www.keresaero.com/", "all_locations": "Denver, CO, USA", "long_description": "Keres (KAIR-eez) builds reusable unmanned jet interceptors for air defense. The Garmur launches on cue, closes at jet speed, positively identifies and kills drones and cruise missiles, then lands to fly again. It gives commanders a fighter-class response at a fraction of the cost.", "one_liner": "Kill the drone, keep the jet. Reusable unmanned interceptors.", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1791171647, "tags": [ "Airplanes", "Aerospace", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/keres", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/keres.json", "year_founded": 2026, "city": "Denver", "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/d410d4ceb3965f8c5b5e653e10007865ff03aaf9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 4191532, "full_name": "Christopher Palazzolo", "title": "Founder/CTO", "founder_bio": "Co-founder/CTO at Keres (YC F26). Previously Head of Operations at H3X Technologies. Spent 4+ years at Boom Supersonic, rising from Aircraft Technician to Director of Aircraft and Production Operations for the XB-1 supersonic demonstrator. Led avionics, flight test, and manufacturing. BS in Mechanical Engineering from Oakland University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cjpalazzolo/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eaec462025ae167d9bbb41d77ac9fac1a28f97be.jpg" } ], "jobs": [], "news": [], "launches": [] } ]