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Every car built after 1996 has an OBD-II data port under the dash. Plug in your Drive Pulse, install the app, and get started in just a few minutes.\n\nDrive Pulse is always on and stays connected thanks to cellular technology and a data plan, similar to the one you have for your smartphone. As long as your car is in an area with adequate T-Mobile data coverage, you can enjoy the peace of mind knowing that your car is safe.", "one_liner": "Device tracks & monitors your car", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer -> Consumer Electronics", "launched_at": 1384978741, "tags": [ "Hardware", "IoT" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2014", "status": "Inactive", "industries": [ "Consumer", "Consumer Electronics" ], "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/drive-pulse", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2014/drive-pulse.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": null, "x_url": null, "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/drive-pulse", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 60096, "full_name": "Giancarlo Daniele", "title": "Founder", "founder_bio": "YC W13 Founder", "is_active": true, "linkedin_url": "https://uk.linkedin.com/in/giancarlodaniele", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ba3b1512d85e0145a1eedbebe53a9aa19481d01.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 667, "name": "Doblet", "slug": "doblet", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://doblet.com", "all_locations": "San Francisco, CA, USA", "long_description": "Doblet is the world’s first network of batteries on demand for charging phones everywhere. The company’s mission is to provide portable power anywhere consumers happen to be. Using patent-pending technology and the Doblet mobile app on iOS or Android devices, users are instantly notified of the nearest place to pick up a charge the moment their batteries start to run low. Consumers can charge their smartphones while on the go at over 1,000 San Francisco Bay Area cafes, bars, and restaurants.", "one_liner": "Doblet solves the phone battery problem. We're building the first…", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Office Management", "launched_at": 1398907695, "tags": [ "Hardware" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2014", "status": "Inactive", "industries": [ "B2B", "Office Management" ], "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/doblet", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2014/doblet.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 41377, "full_name": "Doktor Gurson", "title": "Founder/CEO", "founder_bio": "Founder at Doblet (YC S14) and now working on Rad AI.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/doktorgurson/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0b230a5a545591628647881ee74192db5b69869.jpg" }, { "user_id": 15645, "full_name": "Jeff Chang", "title": "Founder/CTO", "founder_bio": "Co-founder and CPO, Rad AI; former co-founder of Doblet (YC S14). Rad AI uses generative AI to provide operational savings for radiology practices and health systems, reducing radiologist fatigue and burnout, and improving the quality of patient care.\n\nER radiologist, fellowship-trained in musculoskeletal MRI. Started college at age 13, med school at NYU at age 16, second-youngest doctor on record in the US. Prior graduate studies in machine learning at U. 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We emphasize simplicity and create devices that serve the fastest growing healthcare markets in the world.\r\n\r\nWe believe that every person in the world deserves quality healthcare -- whether they are receiving care in the home, in an outpatient infusion center, or in an emerging market. \r\n\r\nWe're a for-profit company committed to doing well, and doing good.\r\n\r\nWe believe Simple Saves Lives.\r\n___\r\n\r\nIn true startup fashion, we have a strategy that emphasizes early revenue. So check out our first product DripAssist, a low-cost IV fluid monitor and alarm. Get precision monitoring of blood transfusions or fluid delivery at a fraction of the cost of an infusion pump. Purchase at http://www.shiftlabs.com/purchase-dripassist", "one_liner": "Makers of simple, affordable medical devices. 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We’re completely recreating the checkout experience in an industry that’s had little innovation in decades.\r\n\r\nOur clients see dramatic reductions in lines and revenue increases of as much as 400% as a result.", "one_liner": "Self-Checkout using Computer Vision.", "team_size": 150, "industry": "B2B", "subindustry": "B2B -> Retail", "launched_at": 1421189374, "tags": [ "Cashierless Checkout", "Deep Learning", "Hardware", "Computer Vision", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2015", "status": "Active", "industries": [ "B2B", "Retail" ], "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": "Back in the early 2010s, Mukul was hard at work helping Toyota determine how computers could use cameras to interpret and interact with the world. But Mukul had a problem - every day, he would go to get his lunch, and every day he’d spend most of that time (30-40 minutes) waiting in line in his corporate cafeteria. He decided to take a closer look at the issue and decided that computer vision could be the answer. After some initial testing, Mukul felt the idea was a big opportunity and flew to California to pitch his idea.There he reconnected with Abhinai, who was his classmate in the same dorm at IIT Delhi. He created an early demo that was so impressive that it convinced Abhinai to join him.Having worked in large companies and created some enormously successful projects, we were disheartened by the fact that when a project became successful, several people came in at the final stages to take credit. We decided to be founders and create a company that valued people’s contributions honestly and cut through the corporate bullshit.After successfully cold-calling head executives from some of the largest corporate cafeteria operators on the planet, we received many enthusiastic responses to our description of Mashgin’s Touchless Checkout System. He then set out to actually build it.After successfully building and demoing a Mashgin prototype to the YC team, Mashgin went from “project” to “company” over the course of the Winter 15 Batch." }, { "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": "We applied to YC very late, just a few days before the start of W15 batch. We were in the middle of raising a seed round and through our suboptimal interactions with investors, we realized that we needed YC guidance to help us raise a round on good terms. Our YC experience was amazing, if a bit overwhelming at times. YC partners forced us to think clearly about the next steps. At one point they had us go door to door to every business in Mountain View downtown to try and sell our product. We made our first sale that day and we’ll never forget that experience! Fundraising post YC was every bit what we imagined it to be. It made the entire process super smooth and easy." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "When we started the company in 2014, our initial goal was to improve the checkout experience in corporate dining facilities, cafeterias, and sports stadiums. We aimed to use computer vision and machine learning technology to create a much more efficient and convenient experience for customers. Entering YC and getting to demo day with a major letter of intent was a big moment for the company, giving us the experience and fundraising to make Mashgin market-ready over the following few years.However, with the outbreak of COVID-19 in 2020 and the subsequent lockdowns, we had to pivot our focus to the convenience store space as corporate offices closed and retail demand for self-checkout solutions skyrocketed.During the pandemic we were able to secure an enormous deal with Circle K, one of the largest convenience store chains in the world, for 10,000 kiosks across their global portfolio of stores. This elevated us from a burgeoning player in AI to the most market-tested solution in the world.In May 2022, we were able to announce a Series B funding round of $62.5 million with a valuation of $1.5 billion, earning us the title of “unicorn” company. The round was led by NEA, a global venture capital firm that’s invested in other successful startups like Cloudflare, Patreon Plaid, and Robinhood, with additional support from our existing investor, Matrix Partners.Today Mashgin continues to expand within the convenience, sports, and corporate dining industries while beginning to explore adjacent opportunities in spaces like ski resorts, quick service restaurants, and drug stores." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Online retail has gone through several iterations in the past few decades and the experience today is extremely frictionless. Physical retail on the other hand has not seen the same level of innovation and the experience hasn’t changed much since the early 90s. We want to use the latest advances in AI and Computer Vision to make physical retail as easy and frictionless as online retail.More specifically, Mashgin solves the problem of long wait times and checkout bottlenecks. Customers often experience frustration and dissatisfaction when they have to wait in long lines to check out, and retailers also face the challenge of managing and staffing checkouts. This is a big problem because lines are a waste of time for everyone involved. Over the course of a lifetime, the average person will spend years waiting in lines. And those lines aren’t just wasted time for consumers, they result in lost sales for retailers. Studies by Forrester and BlueDot have shown that retailers lose as much as 57% of their sales when customers perceive the line as long (which in a convenience store is 3 people).Besides being frustrated by our own lunch lines, we decided to work on this problem because we saw an opportunity to use computer vision and machine learning to create a more efficient and convenient shopping experience for customers across industries." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "At Mashgin, our long-term vision is to create a world where the shopping experience is completely seamless and frictionless. If we succeed, waiting in line to purchase goods will be a thing of the past. 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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": 1460, "name": "LitHit", "slug": "lithit", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://lithit.com", "all_locations": "", "long_description": "LitHit creates smart shooting targets that light up on impact. 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From having worked on ground onboarding users and facing poor connectivity issues all the time, we took it on ourselves to fix the internet access problem for the common citizen.\r\n\r\nAt Wifi Dabba (YC W17), we are building a low cost, scalable & distributed Wi-Fi infrastructure to connect next billion users online. We do this by deploying a grid of lasers (Free Space Optics) over the cities & town and bring cheap and fast internet for everyone. We enable anyone to buy 1 gig of data access at a time at a price they can afford. Sachetization of internet access is the foundation to rebuilding internet for all. We do this by leveraging crypto and blockchain to truly make internet infrastructure ownership distributed — our vision is to be connectivity layer for the Web3 world.", "one_liner": "Decentralised broadband connectivity.", "team_size": 21, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1478743819, "tags": [ "Hardware", "Crypto / Web3", "Telecommunications" ], "tags_highlighted": [ "Crypto / Web3" ], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2017", "status": "Active", "industries": [ "Consumer" ], "regions": [ "India", "South Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/wifi-dabba-inc", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2017/wifi-dabba-inc.json", "year_founded": 2017, "city": "Bengaluru", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/wifidabba", "x_url": "https://www.twitter.com/DabbaNetwork", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/wifi-dabba", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/83b4db3a712ba1a50063b75aa9ca4c1c974cf5ae.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/41179f7a0a69325b75af88f9408918ffc4b96dfc.png" ], "primary_partner": null, "founders": [ { "user_id": 164597, "full_name": "Karam Lakshman", "title": "Founder", "founder_bio": "Tech at wifidabba.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/karam-lakshman-bb935817/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7171de7d5d08f896e40c703183298c8f368de238.jpg" }, { "user_id": 164648, "full_name": "Shubhendu Sharma", "title": "Founder", "founder_bio": "building dabba.com\n\n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/shubhendusharma", "x_url": "https://twitter.com/shubhendusharma", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f727a33093842869be4e5f252e2a9cabc204d9e6.jpg" } ], "jobs": [ { "id": 54487, "title": "Wifi Dabba - Software Engineer (Fullstack) 4+Yrs", "url": "https://www.ycombinator.com/companies/wifi-dabba-inc/jobs/smCKS2S-wifi-dabba-software-engineer-fullstack-4-yrs", "location": "Bangalore, Karnataka, India", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Amazon Web Services (AWS)", "Angular", "JavaScript", "PHP", "React", "SQL" ] }, { "id": 54489, "title": "Wifi Dabba - Blockchain Engineer 2+ Yrs ", "url": "https://www.ycombinator.com/companies/wifi-dabba-inc/jobs/rWLheng-wifi-dabba-blockchain-engineer-2-yrs", "location": "Bangalore, Karnataka, India / Remote", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "C#", "Python", "Rust", "Blockchain", "Solidity" ] }, { "id": 60745, "title": "Wifi Dabba - DevOps Engineer 4+ years", "url": "https://www.ycombinator.com/companies/wifi-dabba-inc/jobs/PKdcbfg-wifi-dabba-devops-engineer-4-years", "location": "Bengaluru, KA, IN", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "₹1.5M - ₹2.5M INR", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 1616, "name": "Flock Safety", "slug": "flock-safety", "former_names": [ "Flock" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee69b5c905088288ff0fc007921dde14514a40a1.png", "website": "http://www.flocksafety.com", "all_locations": "Atlanta, GA, USA", "long_description": "Flock Safety provides the first public safety operating system that empowers private communities and law enforcement to work together to eliminate crime. We are committed to protecting human privacy and mitigating bias in policing with the development of best-in-class technology rooted in ethical design, which unites civilians and public servants in pursuit of a safer, more equitable society. \r\n\r\nOur Safety-as-a-Service approach includes affordable devices powered by LTE and solar that can be installed anywhere. Our technology detects and captures objective details, decodes evidence in real-time and delivers investigative leads into the hands of those who matter. \r\n\r\nWhile safety is a serious business, we are a supportive team that is optimizing the remote experience to create strong and fun relationships even when we are physically apart. Our flock of hard-working employees thrive in a positive and inclusive environment, where a bias towards action is rewarded. Flock Safety is headquartered in Atlanta and operates nationwide. We have raised $150M in our Series E led by Tiger Global at a $3.5B valuation.", "one_liner": "The first public safety operating system that eliminates crime.", "team_size": 1000, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1646149352, "tags": [ "Hardware", "Machine Learning", "SaaS" ], "tags_highlighted": [], "top_company": true, "isHiring": true, "nonprofit": false, "batch": "Summer 2017", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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": "\\Before launching Flock, I had built two companies in entirely different fields: mobile ticketing and vehicle subscription. I had been an entrepreneur since I was in school, and I knew my skills lay in business-building, but when thinking about what I would do next, I kept landing on a conviction to do something that tangibly changed communities. At the same time, my metro Atlanta neighborhood was targeted by a rash of property crimes – home and vehicle break ins.  Our neighbors reported the crime to local law enforcement, only to learn that there were very limited avenues to investigate. In fact, due to a lack of investigative evidence, over 80% of property crime is never solved.There was a clear gap in the market, left unfilled by ineffectual alarm systems and expensive, outdated traditional security cameras. As an electrical engineer, I was able to envision an affordable, elegant solution to solving crime that would bring together communities, businesses and law enforcement in the mission of improving safety. \\My belief was simple: With the right team, technology, and policies, we could actually not only solve, but _eliminate_ crime. I recruited two former colleagues who I trusted and who shared my vision for building better communities, and we jumped into building Flock." }, { "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": "From the moment we started Flock Safety, we had an incredibly clear, boldly audacious mission. This wouldn’t be a company that focused on nice-to-haves, or that helped other businesses cut costs or generate leads. We provide a life-or-death product, a mission-critical system for cities, that dramatically changes a community for the better. I viewed leading this company as a privilege, but also a real burden and responsibility. In the early days, when considering a partner that would help us build this kind of generational company, we saw Y Combinator as the organization that could dramatically increase the odds of our vision coming true. It hit home during YC when we heard that we had helped police in our hometown of Atlanta solve the first crime with Flock Safety devices. We knew from that moment that this idea was not just an abstraction — Flock was going to work. Throughout YC, the founding team is guided to build their company at _as face a pace as is possible_, as speed is an undeniable competitive advantage. When Demo Day was over, after we had booked meetings with investors and were well on our way to our first fundraising round, YC set the tone for scaling Flock doggedly, purposefully, and with consistent velocity, for years to come. " } ], "url": "https://www.ycombinator.com/companies/flock-safety", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2017/flock-safety.json", "year_founded": 2017, "city": "Atlanta", "country": "US", "linkedin_url": "https://www.linkedin.com/company/flock-safety", "x_url": "https://twitter.com/flock_safety", "fb_url": "https://www.facebook.com/flocksafety/", "cb_url": "https://www.crunchbase.com/organization/flock-safety", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee69b5c905088288ff0fc007921dde14514a40a1.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": 172332, "full_name": "Garrett Langley", "title": "Founder/CEO", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/glangley/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/983f01c56e0729538530748ff3bcd479b2664eb8.jpg" }, { "user_id": 182671, "full_name": "Matt Feury", "title": "Founder/CTO", "founder_bio": "I spit rhymes in n log(n) time.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matt-feury-a105a339/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/05d3497ff044fec95a23302569f629c39e87a671.jpg" } ], "jobs": [ { "id": 69097, "title": "Senior Video Software Engineer", "url": "https://www.ycombinator.com/companies/flock-safety/jobs/oHQmXUR-senior-video-software-engineer", "location": "Atlanta, GA, US / Remote (Atlanta, GA, US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$170K - $190K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 72551, "title": "Senior Software Engineer, Backend Integrations", "url": "https://www.ycombinator.com/companies/flock-safety/jobs/YME3UnJ-senior-software-engineer-backend-integrations", "location": "Atlanta, GA, US / Remote (Atlanta, GA, US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$170K - $250K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 74692, "title": "Staff Software Engineer - Rust", "url": "https://www.ycombinator.com/companies/flock-safety/jobs/w0KUMNn-staff-software-engineer-rust", "location": "US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$200K - $235K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "C++", "Rust" ] }, { "id": 77634, "title": "Senior Software Engineer, Video FullStack Experience", "url": "https://www.ycombinator.com/companies/flock-safety/jobs/jrcaMY6-senior-software-engineer-video-fullstack-experience", "location": "US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$171K - $190K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "React" ] }, { "id": 87230, "title": "Staff AI Systems Engineer ", "url": "https://www.ycombinator.com/companies/flock-safety/jobs/rd2Qy51-staff-ai-systems-engineer", "location": "US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$200K - $240K", "equity_range": "", "experience": "6+ years", "visa": "Will sponsor", "skills": [ "Python" ] }, { "id": 92446, "title": "Senior ML Engineer, Enrichment ", "url": "https://www.ycombinator.com/companies/flock-safety/jobs/fdubCQU-senior-ml-engineer-enrichment", "location": "US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$160K - $175K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92454, "title": "Operations Research Scientist ", "url": "https://www.ycombinator.com/companies/flock-safety/jobs/8WgCgM9-operations-research-scientist", "location": "US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$15K - $175K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "C++", "Python" ] } ], "news": [ { "title": "Accelerating Innovation: Flock Secures $275 Million to Advance Crime-Solving Technology", "url": "https://www.flocksafety.com/articles/flock-safety-secures-major-funding", "date": "Mar 13, 2025" }, { "title": "Flock Safety | Flock Safety Announces $150M Series E - led by Tiger Global to Eliminate Crime", "url": "https://www.flocksafety.com/articles/series-e-announcement", "date": "Feb 15, 2022" } ], "launches": [] }, { "id": 1638, "name": "Cairns Health", "slug": "cairns-health", "former_names": [ "Totemic Labs", "Totemic", "Koko" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f2571c59aad3d4224dae47b21fb2bc278e88e66c.png", "website": "https://www.cairns.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Cairns Health is creating a fundamentally better healthcare experience for people with chronic health conditions and those who care for them. We make healthcare more accessible by simplifying complex care plans, connecting care teams and meeting patients where they live. Through our conversational AI, patients use their voice to interact with our digital care companion, who proactively gives medication reminders, symptom checks, behavioral nudges and even engages in friendly conversation to ease loneliness. Cairns uses a device that includes radar to put the patient in context and passively monitors their activities, including: heart rate, breathing rate and sleep stages, all without a wearable. The result is informed and timely intervention that drives improved clinical outcomes, reduced care delivery costs and a more satisfactory healthcare experience for all.", "one_liner": "Your voice. Your health. We care.", "team_size": 17, "industry": "Healthcare", "subindustry": "Healthcare -> Consumer Health and Wellness", "launched_at": 1493693427, "tags": [ "Hardware", "Machine Learning", "Consumer Health Services" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2017", "status": "Active", "industries": [ "Healthcare", "Consumer Health and Wellness" ], "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/cairns-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2017/cairns-health.json", "year_founded": 2017, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cairnshealth", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f2571c59aad3d4224dae47b21fb2bc278e88e66c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 200594, "full_name": "Brad Eckert", "title": "Founder", "founder_bio": "Founder/CTO of Woz. Prev Founder & leader of >30 person engineering team at Cairns Health (YC S17, formerly Totemic). Built deep learning radars in consumer electronics for the home environment and an LLM enabled cure for chronic insomnia. 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Neural Networks are the most powerful engines behind today's AI, but simulations require massive amounts of power and time to learn all of the synaptic connections. As opposed to a simulation, our neuromorphic hardware is a physical artificial neural network, composed of spiking neurons and physical synapses. We combine unique electroceramic materials, nanofabrication techniques, and biologically plausible models of learning to create the Memristive Nanowire Neural Network (MN3), a new type of AI chip. The MN3 can possess over ten million spiking neurons per square centimeter, and uses far less power than conventional GPUs and CPUs.", "one_liner": "We build artificial intelligence processors inspired by the brain. 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Operators input stem cells, and our platform turns them into specific cells such as neurons and heart cells over multiple weeks.\r\n\r\nLast year, patients were cured of Parkinson’s, vision loss, and Type 1 diabetes using stem-cell derived cells. We need 1000x the global capacity to produce these cells, and treat millions of patients. But today these Regenerative Medicines are produced by hand, meaning they’re too expensive and don’t scale.\r\n\r\nMytos has fully automated production of these cells, making it scalable. 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I aspire to operate at the interface of science and engineering, where low level science translates into meaningful products.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ali-afshar-0246002b/", "x_url": "https://twitter.com/ali110afshar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dbd8bf3c4b493e4af2eb28983a3d1c739e16dc08.jpg" }, { "user_id": 194785, "full_name": "Ignacio Willats", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ignaciowillats/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/60fe670640158d428f0a4a4157910977261fd514.jpg" } ], "jobs": [ { "id": 65810, "title": "Senior Product Designer", "url": "https://www.ycombinator.com/companies/cytera-cellworks/jobs/d6WORNF-senior-product-designer", "location": "London", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "£50K - £80K GBP", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 90584, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/cytera-cellworks/jobs/i65J1Cg-chief-of-staff", "location": "London", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "£70K - £120K GBP", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "Exclusive: Mytos inks cell therapy manufacturing deals with three European biotechs ", "url": "https://endpoints.news/exclusive-mytos-inks-cell-therapy-manufacturing-deals-with-three-european-biotechs/", "date": "Sep 01, 2025" }, { "title": "Redefining Biotech - My Framer Site", "url": "https://meetdex.ai/podcast/ali-afshar-founder-ceo-mytos", "date": "Jul 07, 2025" }, { "title": "Aspen Partners with Mytos to Automate Stem Cell Production for Parkinson’s Therapy", "url": "https://www.genengnews.com/topics/bioprocessing/aspen-partners-with-mytos-to-automate-stem-cell-production-for-parkinsons-therapy/", "date": "Jan 07, 2025" }, { "title": "Pushing The Frontiers of Human Cell Manufacturing— Mytos Announces $19M Series A - My Framer Site", "url": "https://s3.news/single-stories/mytos-announces-19m-series-a", "date": "Nov 30, 2023" }, { "title": "This Startup Just Raised $19 Million To Bring An Industrial Revolution To Biology", "url": "https://www.forbes.com/sites/alexknapp/2023/11/30/this-startup-just-raised-19-million-to-bring-an-industrial-revolution-to-biology/", "date": "Nov 29, 2023" } ], "launches": [] }, { "id": 11925, "name": "Intelline", "slug": "intelline", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/00d76c09d68459b13ffc2910fece040246c89806.png", "website": "https://www.intelline.ca/", "all_locations": "Waterloo, ON, Canada", "long_description": "Intelline makes fuel agnostic engines for practical, clean, and low-cost industrial power. Our first customers are in data center energy infrastructure and oil & gas production. Our engine generate electricity with even the most difficult fuels like flare gas, while reducing fuel OPEX by 40%.\r\n\r\nThere are 1,000,000 new heavy duty engines produced per year, and at an average $50k per heavy duty engine this is a $50B market opportunity.\r\n\r\nOur generator can efficiently run emerging fuel types that traditional diesel engines can't use (flare gas, syngas, ammonia, hydrogen), and can switch between fossil fuels and any other liquid/gaseous fuel while running. Full size running prototype successfully tested April 2025.", "one_liner": "Intelline makes the world's most efficient fuel agnostic engines for…", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1598392888, "tags": [ "Alternative Battery Tech", "Hardware", "Alternative Fuels", "Climate" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2019", "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": [ { "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": "Chris and I (Kyle) have known each-other since elementary school. 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. Our vision is that within 20 years we can do our part in the energy sector to get heavy duty industrial power to zero emissions, and we have a realistic way to do it." } ], "url": "https://www.ycombinator.com/companies/intelline", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2019/intelline.json", "year_founded": 2017, "city": "Waterloo", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/34746898/admin/", "x_url": "", "fb_url": "https://www.facebook.com/intelline/", "cb_url": "https://www.crunchbase.com/organization/intelline", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/00d76c09d68459b13ffc2910fece040246c89806.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/efc3c8cc212142311fbb626d07729cd8f72c0001.png" ], "primary_partner": null, "founders": [ { "user_id": 280616, "full_name": "Kyle Faller", "title": "Founder/CEO & CTO", "founder_bio": "Previous Powertrain Engineering at Alta Motors and Mechanical Drive Systems Engineering at Tesla. 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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. The company is now a rapidly growing team of over 30 employees with a 25,000-square-foot rocket factory and state-of-the-art engine groundworks facility.", "one_liner": "The Rocket Network: Sustainable & On-Demand Delivery Anywhere in Space", "team_size": 33, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1595531628, "tags": [ "Air Taxis", "Commercial Space Launch", "Hardware", "Sustainable Tourism", "Space Exploration" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2019", "status": "Inactive", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "United States of America", "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/spaceryde", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2019/spaceryde.json", "year_founded": 2018, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/spaceryde/", "x_url": "https://twitter.com/Space_Ryde", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/loonify-space", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb2c60afe00a006c41276fc69a7c49f830e81b65.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 295796, "full_name": "Sohrab Haghighat", "title": "Founder", "founder_bio": "Sohrab is a 2x YC founder, currently running Hestus, Inc (S24). 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", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/joshua-horne-3b21928b/", "x_url": "https://twitter.com/joshhorne91", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/89dbc91445807bef79182b92cb17b2b591d8bce9.jpg" }, { "user_id": 272654, "full_name": "Sam Lew", "title": "Founder", "founder_bio": "Asian-American, multi-disciplinary product designer and mechanical engineer who enjoys building meaningful experiences, regardless of the medium.", "is_active": false, "linkedin_url": "http://www.linkedin.com/sjylew", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/429bb7e96360fe3412b5b6e3effc690ee095e67c.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 12053, "name": "Mobot", "slug": "mobot", "former_names": [ "Team Mobot" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1d0bf05671926ad00ff8728c45f6416fb329f300.png", "website": "https://www.mobot.io", "all_locations": "New York City, NY, USA; New York, NY, USA", "long_description": "Mobot (YC W19) is a QA-as-a-service platform using actual mechanical robots to automate testing of repetitive functions on real mobile devices. Mobot's human-supervised robots make it possible to automate mobile app tests that emulators, virtual devices, and existing frameworks can't. 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Volta is transforming the way biological research and analyses are performed, allowing scientists to focus on what they do best -- pushing the boundaries of biology.\r\n\r\nAs a collective of scientists and builders working at the intersection of engineering and biology, we imagine a world where extracting vital information from biological samples is as simple as pressing a button. That's our vision, and we're turning it into reality.\r\n\r\nOur HQ is in Boston’s Seaport, where we develop and manufacture our technology. We believe in cross-functional collaboration and continuous learning – whether your interest is in biology, MechEng, CompEng, or simply joining a fast-growing startup striving to make the world a better place, we'd love to welcome you to our team. Check out some of our blog posts to learn more about work life at Volta. ", "one_liner": "Unlocking the utility of genomics for the world.", "team_size": 50, "industry": "Healthcare", "subindustry": "Healthcare -> Industrial Bio", "launched_at": 1607278601, "tags": [ "Hard Tech", "Hardware", "Robotics", "Genomics", "Biotechnology" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2019", "status": "Active", "industries": [ "Healthcare", "Industrial Bio" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": [ { "question": "Describe what your company does in 50 characters or less.\n", "answer": "We build Integrated circuits for biology workflows" }, { "question": "What is your company going to make? Please describe your product and what it does or will do.\n", "answer": "A high throughput automation system for Next-Generation Sequencing (NGS) sample preparation using digital microfluidic chip technology." } ], "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": "In 2018, Volta Labs was born in the halls of MIT with a clear mission: to unlock the utility of genomics for the world.\\\\Previously nestled in the vibrant hub of Kendall Square, known as \"the most innovative square mile on the planet,\" we quickly became immersed in the dynamic biotech culture. After numerous conversations with other scientists and hours of research, we discovered that trailblazing biologists were being held back by the constraints of existing automation tools, particularly in the realm of DNA sequencing. While DNA readout technologies surged ahead, the upstream steps of sample preparation (sample prep) lagged behind.\\\\During Founder Udayan Umapathi’s graduate stint at the MIT Media Lab, what began as a humble printed circuit board to manipulate colorful droplets soon evolved into a solutionfor the notorious \"sample prep bottleneck.\" Propelled into action, we secured funding from top-tier VCs and got to work." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "Since the company was funded coming our YC in Winter 2019, our focus has been laser-sharp in the lab, where we've been busy inventing and constructing groundbreaking fluidic and sample manipulation technologies. We embrace an anti-disciplinary approach, tackling the toughest challenges by seamlessly integrating instrumentation, fluidics, software, biology, and chemistry. While we're currently channelling our energies into sequencing sample prep, our grand vision extends beyond – envisioning a future where a single universal machine automates the lion's share of biological workflows in genomics, proteomics, and synthetic biology.\\\\At Volta, we're not just shaping the future of genomics; we're engineering it. Join us in harnessing the power of biology and technology to change the world." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "We are in the midst of a genomic revolution. From 1999 to 2000, the Human Genome Project generated the first “draft” human genome, which cost \\~$300 million across 20 labs worldwide. It took another three years, and hundreds of millions of dollars, to produce a human genome that was \\~90% complete, as complete as the technologies for sequencing DNA allowed at the time. In 2023, a scientist can sequence a genome at a bench for hundreds of dollars in a day. The adoption of sequencing technologies across new applications only continues to accelerate as it becomes easier, faster, and cheaper. \\\\Despite these advancements, preparing samples for sequencing remains a significant bottleneck. We believe that disruptive innovations are needed in sample prep to unlock the true utility of genomics. With the new reality of the $200 genome (sequencing cost alone), sample prep is becoming a more significant burden on labs than ever before. " } ], "url": "https://www.ycombinator.com/companies/volta-labs-inc", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2019/volta-labs-inc.json", "year_founded": 2018, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/volta-labs-inc", "x_url": "https://twitter.com/voltalabsinc", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/volta-labs-a9c8", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/373e91d473569c304899f7cec638ddc0b46d10d6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b174dc71f1ac1b5b04ae4d55f5100d5bef2f19b8.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7bb2e9324a7753b95d0c687a8a5d98b14165bf0a.png" ], "primary_partner": null, "founders": [ { "user_id": 11802, "full_name": "Udayan Umapathi", "title": "Founder", "founder_bio": "As the founder and CEO of Volta Labs, Inc., I have over five years of experience in creating and scaling a company that is transforming the field of sequencing sample prep. With a background in entrepreneurship, engineering, design and biology, I have a unique perspective and skill set that enables me to bridge the gap between different disciplines and domains.\n\nAt Volta Labs, we are building a disruptive product that streamlines the entire process of preparing samples for any sequencing technol", "is_active": true, "linkedin_url": "http://linkedin.com/in/udayanu/", "x_url": "https://twitter.com/uday1489", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e36948027c0c8b60f053b0afec83af2bc19a7b3f.jpg" } ], "jobs": [], "news": [ { "title": "Volta Labs Launches Electrowetting-Based Automated NGS Sample Prep Platform | GenomeWeb", "url": "https://www.genomeweb.com/sequencing/volta-labs-launches-electrowetting-based-automated-ngs-sample-prep-platform", "date": "Feb 07, 2024" }, { "title": "Volta Labs and Integrated DNA Technologies Partner to Advance Target Enrichment Workflows", "url": "https://www.prnewswire.com/news-releases/volta-labs-and-integrated-dna-technologies-partner-to-advance-target-enrichment-workflows-302052365.html?tc=eml_cleartime", "date": "Feb 06, 2024" }, { "title": "Volta Labs and Watchmaker Genomics Partner to Simplify and Optimize NGS Library Prep", "url": "https://www.prnewswire.com/news-releases/volta-labs-and-watchmaker-genomics-partner-to-simplify-and-optimize-ngs-library-prep-302052367.html?tc=eml_cleartime", "date": "Feb 05, 2024" }, { "title": "Volta Labs Launches Callisto to Revolutionize Genomics and Sample Prep", "url": "https://www.prnewswire.com/news-releases/volta-labs-launches-callisto-to-revolutionize-genomics-and-sample-prep-302049915.html", "date": "Feb 01, 2024" }, { "title": "Volta Labs grabs $20 million to address a growing genomics bottleneck – TechCrunch", "url": "https://techcrunch.com/2022/03/18/volta-labs-grabs-20-million-to-address-a-growing-genomics-bottleneck/", "date": "Mar 18, 2022" } ], "launches": [ { "id": 78341, "title": "Volta Labs - A genomics applications company revolutionizing sample prep", "tagline": "Unlocking the utility of genomics for the world", "body": "**_tl;dr_** - Volta Labs introduces Callisto, a groundbreaking genomics sample preparation system. With its push-button simplicity, Callisto transforms sample prep unlike anything else in the past 15 years, offering a revolutionary and hands-free experience. Checkout the [**_product here._**](https://www.voltalabs.com/product)\n\n[Volta Labs](https://www.voltalabs.com/product) is a group of antidisciplinary scientists and builders working at the intersection of engineering and biology. With the release of Callisto, we brought to life a sequencer agnostic platform that spans from the raw biological sample to sequenceable molecules. We have done this by reinventing the full stack — hardware, software, chemistry, and biology. At Volta, we’re not just shaping the future of genomics, we are engineering it.\n\n![uploaded image](/media/?type=post&id=78341&key=user_uploads/11802/3c27fa33-e647-497c-997f-4c09284f47b6)\n\n\\\n[🤔](https://emojipedia.org/thinking-face) **The Problem** \n\nGenomic sequencing has made remarkable strides since its inception in 1990, with continuous advancements in both sequencing and data analysis over the past three decades. However, the process of preparing samples for sequencing has seen limited innovation during this time. Despite the tremendous progress in sequencing technologies, the sample preparation phase remains a bottleneck, often taking multiple days and requiring skilled lab technicians and expensive instruments.\n\n**✅ The Solution - The CallistoTM Sample Prep System**\n\nAt Volta, we aim to reduce time and complexity with the introduction of our flagship product, Callisto – a benchtop instrument with many pre-optimized applications that reduces operational requirements and costs in the laboratory and clinic that were previously cost-prohibitive. This innovation addresses the longstanding challenges that have hindered efficiency and accessibility in genomics, making it a game-changer for the industry.\n\n![uploaded image](/media/?type=post&id=78341&key=user_uploads/11802/ae8be7a4-5028-465f-a3f4-ea4d05dabc30)\n\n![uploaded image](/media/?type=post&id=78341&key=user_uploads/11802/da90f1f1-fd22-49a5-b025-5814ed501736)\n\n![uploaded image](/media/?type=post&id=78341&key=user_uploads/11802/c2fd28d3-6988-410b-a677-d20a6f0c1eae)\n\n**✨ Benefits**\n\nCallisto is set to revolutionize laboratories, seamlessly combining efficient nucleic acid extraction with push-button library creation. 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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": 12623, "name": "Lumineye", "slug": "lumineye", "former_names": [ "Lumineye Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/59a9a3f24545bb8e877588ab5137c5940b7dcdf0.png", "website": "https://www.lumineye.com", "all_locations": "Boise, ID, USA", "long_description": "We build portable, tactical, through-wall radar sensors to help first responders and soldiers detect and track people through walls. 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Our beachhead application is cervical cancer prevention -- even though cervical cancer is easy to screen for, 80% of clinics worldwide lack the infrastructure and specialized staff to treat at the earliest stages. 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Our rack-integrated design delivers 35% more usable compute from the same power envelope, with a PUE of 1.03 (vs. the 1.2 industry standard), zero water consumption, and 45°C inlet temperatures that eliminate the need for chillers. Compatible with NVIDIA MGX and HGX architectures, Ferveret's solution uses a proprietary dielectric fluid that is not part of any regulated PFAS category, giving AI infrastructure operators a scalable, water-free path to higher compute density without redesigning their facilities.", "one_liner": "Nuclear-inspired cooling that turns wasted power into more AI compute", "team_size": 16, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1628701179, "tags": [ "Hardware", "Climate", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/ferveret-inc", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/ferveret-inc.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ferveret/", "x_url": "https://twitter.com/ferveret", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/ferveret", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5df9957e26e62bd0ce5370986cca3a22a7822646.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": 735362, "full_name": "Reza Azizian", "title": "Founder", "founder_bio": "Reza is the co-founder and CEO of Ferveret. He is an MIT alumnus and has more than 10 years of experience in the electronic cooling industry. This includes designing a thermal solution for Microsoft HoloLens, as well as working as a senior packaging thermal engineer at NVIDIA and senior design thermal engineer at Cruise.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/reza-azizian-6821184a/", "x_url": "https://twitter.com/Azizian_Reza", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/da3b7bc4f6128bbdb9fb13ba84e3acf7a093e5c1.jpg" }, { "user_id": 740759, "full_name": "Matteo Bucci", "title": "Founder", "founder_bio": "Matteo is the co-founder and CTO of Ferveret as well as a faculty member in Nuclear Science and Engineering at MIT. Prior to Ferveret, he spent nearly a decade as a Research Scientist at CEA Paris. Fields of expertise include heat transfer, fluid dynamics, and nuclear reactor design. Outside of his core work, Matteo is also a nuclear energy consultant and editor of Applied Thermal Engineering.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matteo-bucci-10206b60", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bcc4095ae561ce40fec705a7badd5625d9eb368f.jpg" } ], "jobs": [], "news": [ { "title": "Startup’s nuclear-inspired cooling system could make data centers more sustainable | MIT News | Massachusetts Institute of Technology", "url": "https://news.mit.edu/2026/nuclear-inspired-cooling-system-ferveret-could-make-data-centers-more-sustainable-0610", "date": "Jun 10, 2026" }, { "title": "Ferveret CEO on Cooling, Power Pains, and ‘Waterless’ Gains", "url": "https://www.datacenterknowledge.com/infrastructure/ferveret-ceo-on-cooling-power-pains-and-waterless-compute-gains", "date": "May 07, 2026" }, { "title": "15% compute efficiency doesn't sound like much. Until you do the math. | Aramco Ventures", "url": "https://www.linkedin.com/posts/aramcoventures_last-week-we-published-our-ucla-benchmark-activity-7445352669445017600-d0qx?utm_source=share&utm_medium=member_desktop&rcm=ACoAAApW9sIBrGBTNp9GwB8sVsv04cpwJ5w56ZM", "date": "Apr 02, 2026" }, { "title": "Ferveret study says waterless cooling lifts AI efficiency", "url": "https://datacenter.news/story/ferveret-study-says-waterless-cooling-lifts-ai-efficiency", "date": "Mar 29, 2026" }, { "title": "Ferveret's Nuclear-Inspired Cooling Boosts AI, Slashes Water Use - BriefGlance.com", "url": "https://briefglance.com/articles/ferverets-nuclear-inspired-cooling-boosts-ai-slashes-water-use?utm_source=pr_outreach&utm_medium=email&utm_campaign=ap_61401-23118&utm_content=m_27486", "date": "Mar 26, 2026" } ], "launches": [] }, { "id": 24925, "name": "Liv Labs", "slug": "liv-labs-inc", "former_names": [ "Liv Labs Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d04ff6a19ab10afb3e0382e2123517645c7ed8f5.png", "website": "http://www.livlabsfitness.com", "all_locations": "Chicago, IL, USA; Remote", "long_description": "Liv Labs (@livlabsfitness) is a US-based, Y Combinator-backed women's wellness innovator. Some 78 million American women live with pelvic floor weakness and 31M worry daily about leaking. Liv Labs now sells the patented Pippa® Resistance Spring to boost a healthy user's pelvic floor fitness during exercise, when it matters most.\r\n\r\nPippa inventor, Carly Price, reimagined the humble pillow for Casper and has 45 patents to her name. Company CEO, Melody Roberts, incubated digital service experiences now scaling globally at McDonald's and Panera. Pippa development was substantially funded by non-dilutive SBIR grants from NIH, NSF, and State of Illinois, based on stellar product effectiveness data and user feedback like, \"With this, surgery is off the table.\" ", "one_liner": "Pelvic floor fitness made easy", "team_size": 1, "industry": "Healthcare", "subindustry": "Healthcare -> Consumer Health and Wellness", "launched_at": 1628991585, "tags": [ "Hardware", "Consumer Health Services", "Women's Health", "Consumer Products" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "Healthcare", "Consumer Health and Wellness" ], "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/liv-labs-inc", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/liv-labs-inc.json", "year_founded": 2017, "city": "Chicago", "country": "US", "linkedin_url": "https://www.linkedin.com/company/livlabsfitness/", "x_url": "https://twitter.com/livlabsfitness", "fb_url": "https://www.facebook.com/livlabsfitness", "cb_url": "https://www.crunchbase.com/organization/liv-labs", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d04ff6a19ab10afb3e0382e2123517645c7ed8f5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 583225, "full_name": "Melody Roberts", "title": "Founder", "founder_bio": "Melody is a career innovator of consumer conveniences. She is an optimist with a lifelong passion for improving daily life through better, more affordable products and services. Formerly: Panera, McDonald's, IDEO, Smart Design, Cooper-Hewitt. Education: Illinois Tech (MDes) and Yale University (BA). Colorado native.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/melodyannroberts/", "x_url": "https://twitter.com/twelody", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1a50fc5b5a62151531705e3441fff45b5ca9435e.jpg" }, { "user_id": 729294, "full_name": "Carly Price", "title": "Founder", "founder_bio": "Highly accomplished innovation leader and champion of human-centered design, with a passion for creating delightful products, services, and brand experiences. Has a proven track record of using insight-driven processes to uncover opportunities, drive concept generation and prototyping, and bring award-winning, iconic, useful, and beautiful consumer products and experiences to market. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pricecarly/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1b8ac79487c7321cdf31e16304be0283642dfaf7.jpg" } ], "jobs": [], "news": [ { "title": "Incontinent Women Get Help from Innovator ", "url": "https://www.ajc.com/things-to-do/aging-in-atlanta/one-start-up-has-solutions-for-incontinence-in-women/UU5NTDGBYBDIZA4X523IZO5T34/", "date": "Feb 08, 2025" }, { "title": "Liv Labs Lands SBIR Grant and Spot in Y Combinator as it Develops a Better Tool for Women Experiencing Urinary Incontinence - Polsky Center for Entrepreneurship and Innovation", "url": "https://polsky.uchicago.edu/2021/08/18/liv-labs-lands-sbir-grant-and-spot-in-y-combinator-as-it-develops-a-better-tool-for-women-experiencing-urinary-incontinence/", "date": "Aug 18, 2021" } ], "launches": [ { "id": 91753, "title": "Pippa: a Pelvic Floor Fitness Booster for Women", "tagline": "Get fit, inside and out", "body": "# **Meet Pippa**\n\n# The world's first workout product designed to boost pelvic floor fitness—just by wearing it while you move.\n\n[https://youtu.be/OP0vhTb6n8U?si=ZOPh69qU3PaznicV](https://youtu.be/OP0vhTb6n8U?si=ZOPh69qU3PaznicV%5C)\n\nPippa is worn internally (like a tampon). The soft silicone spring gently conforms to the body, activating pelvic floor muscles with each step, stretch, or squat. No batteries, no routines—just natural, effortless, on-the-go exercise.\n\n**✅**  Significantly increases neuromuscular activation\\\n✅  Fits seamlessly into a daily workout or walk\\\n✅  Two models for a comfy, personalized fit\n\n**The Problem**\n\n78M American women worry about pelvic floor weakness, including college and pro athletes, new moms, and older women. Pelvic floor weakness can lead to a range of problems, including urinary and fecal incontinence, pelvic organ prolapse, and more, significantly impacting quality of life. Most solutions are high-effort, expensive, inconvenient — or all of the above.\n\n# **The Solution**\n\n![uploaded image](/media/?type=post&id=91753&key=user_uploads/583225/4f74514a-9282-4194-b496-f5a8f8bb9a9e)\n\nPippa is the world’s first _conforming resistance spring._ It comes in two sizes and levels of resistance: light (42mm) and medium (50mm).\n\n![uploaded image](/media/?type=post&id=91753&key=user_uploads/583225/b5b7eaf1-5356-4c53-a2f9-deb7d4cb441e)\n\nIt works like a resistance band, but for hard-to-reach inner core.\n\n![uploaded image](/media/?type=post&id=91753&key=user_uploads/583225/0d8c4d39-8f5e-41f3-ad68-1bd2736df857)\n\nPippa passively responds to core muscle movement by expanding and compressing, thereby activating the muscles and increasing effective function by up to 35%.\n\n![uploaded image](/media/?type=post&id=91753&key=user_uploads/583225/483ecf52-ea8b-4f74-9b7f-11f453d8460e)\n\nThe reusable applicator makes it easy to put Pippa into place. The large finger loop makes anytime removal a breeze.\n\n![uploaded image](/media/?type=post&id=91753&key=user_uploads/583225/c47281f3-861d-4a89-baef-c1226c1e9092)\n\n# **The Founders**\n\nProduct inventor, [Carly Price](https://www.linkedin.com/in/pricecarly/) (L), has designed many award-winning and commercially successful consumer products. She conceived Pippa after trying different solutions for kegel exercise and bladder support, none of which met her comfort and convenience expectations. \\\n\\\nCofounder and CEO, [Melody Roberts](https://www.linkedin.com/in/melodyannroberts/) (R), incubated service models and self-ordering solutions for McDonald’s and Panera. \\\n\\\nWe worked with a wide range of experts–including urogynecologists, physiotherapists, and other health professionals–to ensure Pippa would be comfortable and fully safe.\n\n# **Our Asks**\n\n* **Get the full story** at [**Kickstarter**](https://www.kickstarter.com/projects/liv-labs/get-fit-inside-and-out-with-pippa)\n* **Share this post** **with friends and family** of any age\n* **Suggest potential retailers** to [**melody@livlabsfitness.com**](mailto:melody@liv-labs.com)", "url": "https://www.ycombinator.com/launches/Nrt-pippa-a-pelvic-floor-fitness-booster-for-women", "votes": 12, "created_at": "2025-07-01T01:00:27.624Z" } ] }, { "id": 24926, "name": "Revolve Surgical", "slug": "revolve-surgical", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3432070f3c596c704428f8721684045f22cb0714.png", "website": "https://revolvesurgical.com/", "all_locations": "Toronto, ON, Canada", "long_description": "Revolve is building the world’s only surgical robot designed for every operating room. Its simple yet powerful design makes it the only robot that can service the 1M+ abdominal surgeries performed outside of hospitals in the US every year.", "one_liner": "Surgical robotics for every operating room", "team_size": 8, "industry": "Healthcare", "subindustry": "Healthcare -> Medical Devices", "launched_at": 1628609381, "tags": [ "Hardware", "Medical Robotics", "Medical Devices" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "Healthcare", "Medical Devices" ], "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/revolve-surgical", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/revolve-surgical.json", "year_founded": 2019, "city": "Toronto", "country": "CA", "linkedin_url": "https://linkedin.com/company/revolve-surgical", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3432070f3c596c704428f8721684045f22cb0714.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": 769642, "full_name": "Peter Francis", "title": "Founder", "founder_bio": "Background in Mechatronics Engineering (undergrad) and surgical robotics (graduate-level). Engineer #2 at a medical robotics startup in the Bay area and worked on a CSA lunar rover.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/peterfrancis19/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2103b72c4e0a41062e302cd0e0fa4d507a87828c.jpg" }, { "user_id": 769547, "full_name": "Matthew Kang", "title": "Founder", "founder_bio": "I build stuff: MedTech, ML/CV, robots", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matthew-kang/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/afd54366ab433fb30f2e03f6af7e9f1e4b558365.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 25313, "name": "Hubble Network", "slug": "hubble-network", "former_names": [ "Hubble Network Inc" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e08e93bf4770b4f15d9dea2ef02c5f492eb0adb5.png", "website": "https://hubble.com", "all_locations": "Las Vegas, NV, USA", "long_description": "Hubble is building a global satellite network that any Bluetooth-enabled device can connect to, even without cellular reception. Our mission in life is to get a billion devices connected to the network and unlock a new era of human-machine collaboration.", "one_liner": "Bluetooth to Space", "team_size": 50, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1685474964, "tags": [ "Developer Tools", "Hard Tech", "Hardware", "IoT", "Satellites" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/hubble-network", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/hubble-network.json", "year_founded": 2021, "city": "Las Vegas", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hubblenetwork/", "x_url": "https://twitter.com/hubble_network", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e08e93bf4770b4f15d9dea2ef02c5f492eb0adb5.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": 40013, "full_name": "Alex Haro", "title": "Founder", "founder_bio": "Cofounder: Life360\nCofounder: Hubble Network", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexanderharo/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b13a31231a87848af17dce567adb3478632785bc.jpg" }, { "user_id": 159991, "full_name": "Ben Wild", "title": "Founder", "founder_bio": "Background in Electrical Engineering with a focus on wireless communications, signal processing and robotics. Most recently worked at Amazon where I invented and was the product manager for the Amazon Sidewalk wireless IoT network and the Ring Always Home Cam. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ben-wild-72131b3", "x_url": "https://twitter.com/BenWild10", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a604081ca05b9cf4af7587c6384b0c57b9f4b5d.jpg" } ], "jobs": [], "news": [ { "title": "Hubble Network Raises $200 Million, Hits Unicorn Status for Space Bluetooth - Bloomberg", "url": "https://www.bloomberg.com/news/articles/2026-09-23/startup-hubble-reaches-unicorn-status-for-space-based-bluetooth", "date": "Sep 23, 2026" }, { "title": "Exclusive: Hubble Network Closes $70M Series B", "url": "https://payloadspace.com/exclusive-hubble-network-closes-70m-series-b/", "date": "Sep 17, 2025" }, { "title": "Hubble Network makes Bluetooth connection with a satellite for the first time | TechCrunch", "url": "https://techcrunch.com/2024/05/02/hubble-network-connects-a-bluetooth-chip-to-a-satellite-for-the-first-time/", "date": "May 02, 2024" }, { "title": "Hubble Network wants to connect a billion devices with space-based Bluetooth network | TechCrunch", "url": "https://techcrunch.com/2023/05/31/hubble-network-is-building-out-a-space-based-bluetooth-network-to-connect-over-billion-devices/", "date": "May 31, 2023" } ], "launches": [] }, { "id": 25333, "name": "Shinkei Systems", "slug": "shinkei-systems", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/26d78b547542b0dccecbb167e84b60d56cad25d7.png", "website": "http://www.shinkei.systems", "all_locations": "Los Angeles, CA, USA", "long_description": "1.2B lbs of fish are caught everyday yet as little as 1 in 3 fish make it to a plate — most of this waste arises because fish are suffocated on boats or electrocuted on farms. \r\n\r\nSuffocation and inaccurate electrocution create stress and so acidify meat, damage quality and significantly reduce shelf-life. \r\n\r\nArtisanal techniques in high-end sushi multiply shelf-life and taste but, because of the variation in fish, are difficult to perform in a mechanical fashion. \r\n\r\nShinkei automates traditional techniques using robotics to provide long-lasting and delicious fish for farmers and harvesters at scale.", "one_liner": "Robots for longer-lasting, better-tasting fish at scale.", "team_size": 80, "industry": "Industrials", "subindustry": "Industrials -> Agriculture", "launched_at": 1646927109, "tags": [ "Hardware", "Robotics", "Food Tech", "Agriculture" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "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/shinkei-systems", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/shinkei-systems.json", "year_founded": 2021, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/shinkeisystems", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/26d78b547542b0dccecbb167e84b60d56cad25d7.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": 232599, "full_name": "Saif Khawaja", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/saifnk/", "x_url": "https://www.twitter.com/khawajasn/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a5670e7c53952596dd84f91a017bfced7c95b13.jpg" } ], "jobs": [], "news": [ { "title": "Our 11 favorite companies from YC's S22 Demo Day: Part 1 • TechCrunch", "url": "https://techcrunch.com/2022/09/07/11-favorite-yc-demo-day-s22-startups/", "date": "Sep 07, 2022" }, { "title": "Shinkei Systems’ AI-guided fish harvesting is more humane and less wasteful – TechCrunch", "url": "https://techcrunch.com/2022/07/28/shinkei-systems-ai-guided-fish-harvesting-is-more-humane-and-less-wasteful/", "date": "Jul 28, 2022" } ], "launches": [] }, { "id": 25361, "name": "Fleetzero", "slug": "fleetzero", "former_names": [ "fleetzero" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/72afaac30b2857360fd2c20810a8d2c00083b39a.png", "website": "https://www.fleetzero.com", "all_locations": "Houston, TX, USA", "long_description": "Fleetzero builds robot ships to deliver cargo for customers.", "one_liner": "Making all ships robots. ", "team_size": 40, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1643126180, "tags": [ "Autonomous Shipping", "Hard Tech", "Hardware", "Robotics", "Transportation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "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/fleetzero", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/fleetzero.json", "year_founded": 2021, "city": "Houston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/fleetzero/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/72afaac30b2857360fd2c20810a8d2c00083b39a.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": 799633, "full_name": "Steven Henderson", "title": "Founder", "founder_bio": "Steven is a marine engineer by background and has managed a wide range of businesses and operations in the marine environment including cargo ships, a hospital ship, and one of the largest offshore facilities in the US Gulf of Mexico. He has a bachelors of science in Marine Engineering Systems from the US Merchant Marine Academy and an MBA from Harvard Business School. Steven served in the US Navy Reserve as a Strategic Sealift Officer. ", "is_active": true, "linkedin_url": "http://www.linkedin.com/in/stevenhenderson", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c56b37303cfdf1c3724a400f143b75a833c31a38.jpg" }, { "user_id": 799581, "full_name": "Mike Carter", "title": "Founder", "founder_bio": "Michael is a marine engineer and enterprise sales professional. He graduated from the US Merchant Marine Academy with a BS in Marine Engineering Systems and received an MBA from Rice. Michael brings expertise in marine engineering, ship operations, and significant business experience in energy and shipping. He is also proud to have served as an officer in the US Navy Reserve. 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Fate had it that modern cybersecurity would leverage the analog-domain side of digital electronics — found my real passion in the world of embedded systems security!", "is_active": true, "linkedin_url": "https://ca.linkedin.com/in/carlos-moreno-76a0626", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/79d7f7a29f1098e6a94a72c92066853e531b97af.jpg" } ], "jobs": [], "news": [ { "title": "Palitronica Selected to Advance Aerospace Cyber Mission Assurance", "url": "https://www.palitronica.com/news/palitronica-selected-to-advance-aerospace-cyber-mission-assurance", "date": "Mar 13, 2022" }, { "title": "Newsroom | Palitronica Accepted into Y Combinator", "url": "https://www.palitronica.com/news/palitronica-accepted-into-the-prestigious-y-combinator-accelerator", "date": "Dec 09, 2021" } ], "launches": [] }, { "id": 25650, "name": "NearWave", "slug": "nearwave", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f557afe1950ca98cfc34f200e929dacc1c441796.png", "website": "http://nearwave.co", "all_locations": "Austin, TX, USA; South Bend, IN, USA", "long_description": "NearWave makes a handheld imaging device that helps physicians select the right therapy for their breast cancer patients. 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He has a PhD in electrical engineering, with a focus in biophotonics research. Originally from Colorado, Roy is a father, husband, technologist, gamer, boarder, and loves to build. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/roy-stillwell-12448916/", "x_url": "https://twitter.com/stillwell_roy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fa6d624bf89f9bd5f64732bdf206bc741ce339ef.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 80934, "title": "NearWave - Realtime therapy efficacy for treating breast cancer patients", "tagline": "NearWave makes a new type of handheld imaging tech with AI that helps physicians select the right therapy for their breast cancer patients. ", "body": "**TL;DR We can tell within a week if chemotherapies in breast cancer are working or not, allowing physicians to stop or change therapies very quickly, rather than waiting 3-12 months. This saves patients months of side effects for the 70% of women that do not fully respond to cancer therapies, affecting the 4M women in the world diagnosed with invasive breast cancer each year. This will be the standard of care in the next 5 years.**\n\nHello to all my YC friends, I’m Roy and our team is building [NearWave.](https://nearwave.co/) Both my mother and grandmother are breast cancer survivors, as is my co-founder’s wife.  After going through the (often archaic) treatment process with them, we are on a personal mission to bring treatment relief for unnecessary side effects caused by ineffective and expensive treatments which currently costs the US health system $50B/yr. There is a nice video story [here](https://fightingfor.nd.edu/2023/fighting-for-breast-cancer-patients/).  We already have 4 systems sold to customers ($123k) and just received a letter that the FDA agrees with our regulatory pathway.\n\n**The Problem**\n\nOncologists have the difficult task of assessing the efficacy of chemotherapy drugs and proper dosing, with the majority of breast cancer patients not showing pathologic complete response (pCR). Imagine taking drugs that devastate your immune system, cause hair loss, nausea, later to find the treatment is ineffective. Further, it takes months to tell if a therapy is working. Those months are critical to survival for patients with aggressive disease progression.\n\n**Our Solution**\n\nNearWave's core imaging technology and accompanying prediction models have been shown in multi-center studies to predict pathologic complete response in breast cancer patients in as early as a week\\[[1](https://pubmed.ncbi.nlm.nih.gov/30338678/#:\\~:text=Notably%2C%20logistic%20regression%20based%20on,CI%3A%200.82%20to%201)\\]\\[[2](http://cancerres.aacrjournals.org/content/76/20/5933.short)\\]\\[[3](https://www.spiedigitallibrary.org/journals/journal-of-biomedical-optics/volume-29/issue-06/066001/Functional-hemodynamic-imaging-markers-for-the-prediction-of-pathological-outcomes/10.1117/1.JBO.29.6.066001.full#_=_)\\]. If oncologists knew efficacy in a few days, they would make real-time adjustments to therapy, personalizing care for each patient \\[[4](https://www.mendelspod.com/p/precision-oncology-at-the-community-544?utm_source=publication-search)\\].\n\n📸 Device and iPad app showing a tumor simulating phantom scanned with the system.\n\n![uploaded image](/media/?type=post&id=80934&key=user_uploads/749007/8f146342-1e4a-4bcb-a40f-639be01f52be)\n\nWhen a therapy is not showing a response, physicians can increase dosage, iterate to other therapies, or move to surgery much sooner, reducing side-effects for patients by as much as 50%, while reducing cost in direct-to-surgery cases. In the future we will expand our indication to cover benign/malignant lesion classification at the ob/gyn bed-side, where ½ the world population undergoes exams, a true **billion user** technology. \n\n**How it works**\n\nThe underlying technology uses [fdNIRS](https://nearwave.co/technology/fdnirs/), a form of near infrared spectroscopy which is deep tissue, non-invasive, does not require injectable contrast, and uses no ionizing radiation.  We measure the molecular absorption and scattering of light of biomarkers (blood, water, lipid) to monitor changes in metabolic and hemodynamic information in tissue \\[[5](https://opg.optica.org/boe/fulltext.cfm?uri=boe-12-11-7261&id=462776)\\]. Metabolic changes are an excellent indicator of therapy response, which our AI models use to categorize and predict the treatment outcomes. \n\n🌈 Here’s how light travels in tissue, and how it works with our system.\n\n![uploaded image](/media/?type=post&id=80934&key=user_uploads/749007/6ffa11ac-d114-48d8-a27b-8e50c0c1e2ab)\n\n🤖 Workflow for our AI model therapy response grading. Breast images are from a study patient responding to therapy.\n\n![uploaded image](/media/?type=post&id=80934&key=user_uploads/749007/2a7c993c-4938-4648-b042-61af9cdfe9f5)\n\n🤯 Here we visualize a 3d tumor, measured with our system on a physical tumor phantom of actual breast tissue properties.\n\n![uploaded image](/media/?type=post&id=80934&key=user_uploads/749007/e47ac6ad-99d0-4b3a-a421-9d535916dc28)\n\n**Asks**\n\nIf you know anyone affected by breast cancer that was a candidate for neoadjuvant chemotherapy, we’d love to talk to them to hear about their experience. Reach out to us [here](https://nearwave.co/company/contact/). \n\nIf you have 10 minutes to chat about what we’re doing, I’d be thrilled to book a time with you [here](https://calendly.com/roy-197/roy-15min?preview_source=et_card&month=2024-05&date=2024-05-20).  \n\nThank you. \n\nRoy & the NearWave Team", "url": "https://www.ycombinator.com/launches/L3O-nearwave-realtime-therapy-efficacy-for-treating-breast-cancer-patients", "votes": 42, "created_at": "2024-05-17T22:13:40.694Z" } ] }, { "id": 25673, "name": "Enlightra", "slug": "enlightra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/26b9f67c4720bc41433bdf2649784cad9156ee26.png", "website": "https://www.enlightra.com/", "all_locations": "Lausanne, VD, Switzerland; Ecublens, VD, Switzerland", "long_description": "Enlightra develops mass-manufacturable fingertip-size multicolor lasers enabling ultrafast data communication and optical computing while providing up to 10x improvement in energy efficiency and cost reduction.", "one_liner": "Multicolor lasers for ultrafast data transmission", "team_size": 22, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1648628492, "tags": [ "Hard Tech", "Hardware" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/enlightra", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/enlightra.json", "year_founded": 2021, "city": "Lausanne", "country": "CH", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/26b9f67c4720bc41433bdf2649784cad9156ee26.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 866932, "full_name": "John Jost", "title": "Founder", "founder_bio": "John has more than 20 years of experience in quantum, atomic, and optical physics and authored more than 70 publications while working with 2 Nobel Prize winners in physics (2012,2005). 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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": 26147, "name": "Cofactr", "slug": "cofactr", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/39a586314e7bd62c08d22961d04f803a003c805f.png", "website": "https://www.cofactr.com/", "all_locations": "New York City, NY, USA; New York, NY, USA", "long_description": "Innovative hardware teams use Cofactr to scale their electronic hardware from BOM through production, replacing spreadsheets and shelves with insights and on-demand infrastructure.\r\n\r\nWe're a Y Combinator W22 company with growing revenue and backed with significant venture funding from VCs like Bain Capital Ventures.", "one_liner": "Cloud pre-factory logistics and procurement for electronics", "team_size": 15, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1642458035, "tags": [ "Hardware", "B2B", "Logistics", "Supply Chain" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cofactr", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/cofactr.json", "year_founded": 2021, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cofactr", "x_url": "https://twitter.com/CofactrTweets", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/cofactr", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/39a586314e7bd62c08d22961d04f803a003c805f.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": 863523, "full_name": "Matthew Haber", "title": "Founder", "founder_bio": "Matthew Haber is the CEO and Co-Founder of Cofactr. He has a diverse background in engineering, technology leadership, and design with a focus on helping hardware teams working in new and emerging spaces. Prior to Cofactr, he co-founded and led an R&D, product design, and experiential technology company called BeSide, ultimately exiting through a private-equity-backed strategic acquisition.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matthew-haber-374903184/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d4c3a529401c7a288e452ca0483406d8deb96d80.jpg" }, { "user_id": 856313, "full_name": "Phillip Gulley", "title": "Founder", "founder_bio": "Phillip Gulley is the Co-Founder and Chief Revenue Officer for Cofactr. He is most drawn to strategy and product development while obsessing on making great experiences for users. Prior to Cofactr he cofounded a R&D, product design, and experiential company, seeing it though to acquisition. His experience ranges from collaboration with global tech brands to celebrated artist. Phil holds an MFA from Brooklyn College in Performance and Interactive Media Arts and a BA from USF in Theater. 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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. 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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. 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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": 27261, "name": "Integrated Reasoning", "slug": "integrated-reasoning", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7abc96adeb32772a65759b3c7fb44df00a0e11db.png", "website": "https://integrated-reasoning.com", "all_locations": "San Diego, CA, USA; Kilauea, HI, USA; Remote", "long_description": "Integrated Reasoning builds efficient computer processors that are tailored to the memory access patterns of Karp's 21 NP-complete problems. We’re making it 100x - 10,000x faster to perform computations like scheduling airline pilots or optimizing packing layouts for shipping containers.", "one_liner": "Faster processors for solving NP-complete problems", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1656696534, "tags": [ "Developer Tools", "Hard Tech", "Hardware", "SaaS", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": [ { "question": "Describe what your company does in 50 characters or less.", "answer": "Insanely fast silicon for NP-complete algorithms." }, { "question": "How long have each of you been working on this? How much of that has been full-time? Please explain.", "answer": "I founded Integrated Reasoning in December of 2021. I started working on the idea full-time as of March 2022." }, { "question": "What is your company going to make? Please describe your product and what it does or will do.", "answer": "Integrated Reasoning designs processors that are tailored to the memory access patterns of NP-complete algorithms. Think GPUs but for optimization and constraint satisfaction problems (e.g. the knapsack problem.)\r\n\r\nComputing solutions to many NP-complete problems requires a massive amount of data transfer between the CPU and DRAM. Memory bandwidth is the bottleneck of modern computing, as discussed in \"Hitting the memory wall: Implications of the obvious.\" [1]\r\n\r\nThe memory wall is such a critical problem that it motivated much of the design behind Apple's M1 architecture. See also this excellent 2017 article [2] by Brendan Gregg, who is widely known for his expertise in system performance engineering.\r\n\r\nI believe Integrated Reasoning presents a win-win-win:\r\n- Customers win by spending less money renting servers, less time waiting for computation, and most importantly, can work on something other than wrangling clusters of computers.\r\n- The Earth and its inhabitants win because less energy will be required to search for countless digital needles in enormous digital haystacks (i.e. combinatorial optimization problems.)\r\n- Integrated Reasoning wins because it can make a profit while pricing its products far below the cost of running the equivalent workload on a cluster of servers.\r\n\r\n[1] Wulf, Wm A., and Sally A. McKee. \"Hitting the memory wall: Implications of the obvious.\" ACM SIGARCH computer architecture news 23.1 (1995): 20-24.\r\n[2 ] [https://www.brendangregg.com/blog/2017-05-09/cpu-utilization-is-wrong.html](https://www.brendangregg.com/blog/2017-05-09/cpu-utilization-is-wrong.html)\r\n\r\nNote: Integrated Reasoning does not aim to answer the famous P versus NP question." } ], "question_answers": null, "url": "https://www.ycombinator.com/companies/integrated-reasoning", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/integrated-reasoning.json", "year_founded": 2021, "city": "San Diego", "country": "US", "linkedin_url": "https://www.linkedin.com/company/integrated-reasoning", "x_url": "https://twitter.com/IntegrateReason", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/integrated-reasoning", "github_url": "https://github.com/integrated-reasoning", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7abc96adeb32772a65759b3c7fb44df00a0e11db.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/27322/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAPVLLM2EU%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022709Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJGMEQCIERmcK8Cf9%2Btw509DI59PWqE38RRTAlvZa4J3JDwHNfvAiAayM%2BKkNtOvjgd758WgPB4q6%2BUu3dhFEeIBKJdEEYmHirlAwg5EAAaDDAwNjIwMTgxMTA3MiIMT2KDc6%2BsqQRelJt7KsIDHKXozlWP2zRm6TyaI63cZu7UdMNJI84LhfrBVoBzKOZrazhBds2e6DhqALWGgEHuhaH96sBW1vGKF0SZPA8JEf%2FhnbI%2B0LPups6efXBWO1aKfnU6HWjkfPemBseL1V1dBRWh3MHmM%2BS0wsfJmaYaFWTcHaaVraOkFgeuvtIGQt%2FnimlcxYe9MQMOeYiPnm5yfGLPkCnGOvHZGDepzR19xj6ZjRi9QZRcX734o%2BDyXGZIQOACA5etqDAXBP7fbW8udzjKK9cHEGPamT7IlaTLAWBWnDjL2T9zw8ZCXoeolYzeaw3DTEK0tdnm9pXjkPGWxrNUNlecD6CiG7M3gr2Lm8eody0o9pj5Ec9BIcJ09i9djYQp%2F9Qt3RQagWspbZEm0RIM98ukXmmQO%2Br5NwFl2BqP7h04EVZMR4%2FxuoUkyMfNGipkzTdDAKGOV2wo7LqFqinznpZBKbguQ%2Fg6wWy40kCNyoPguBPf8GYzzIvusP5x6bf1QHvMlXyb8ElzS4lScRKm7v5GhARAJq%2BveXuxU3aR2lwL84TF9HIpOZ6loG5wOggyMO5KqHtaunl14wjKV3M6InDmt6%2F5NLTGbL6N0P36MOn92tYGOqYB%2B%2FclWb0gxQJ%2FmXWJ%2FID3oboHUM%2BqcRMUObsJl1yosDN9kekbLFwXPJS0wjujDnQuGXhjbEK0yPyr8Dgq35lBDPMlxWRQ8upAxHpp%2F0cruekkJPyONG5qpVv25DqS52YxtylQ0pbERuY6rX1AFi5Hwd5%2FQJgU8TuncKO5FjbC0OPiim0nrZjMnv3t4R3u06MVK4%2FRj2yhCS4qwhYGeOsJdP79%2BCqZqQ%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=034eda3e32826e85e381696d6cb68fea68805989da40b89647bc9a02d02ce744", "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 330306, "full_name": "David Cox", "title": "Founder", "founder_bio": "Founder, CEO at Integrated Reasoning", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/d4r5c2/", "x_url": "https://twitter.com/davidcox", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd472580566e2172c3e543e258e0772eda75237f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 64273, "title": "⚡️ Integrated Reasoning - Fast hardware for optimization problems", "tagline": "Integrated Reasoning builds computer hardware to efficiently solve optimization problems. 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I have worked as an AI feasibility consultant prototyping and evaluating AI spin-outs.\nWe are building nCompass, a platform for accelerating and hosting both open-source and custom large AI models. Our focus is on providing rate-unlimited and low latency large AI inference with only one line of code.", "is_active": true, "linkedin_url": "https://linkedin.com/in/diederik-vink", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b8908fb19fec87f0d24a131953b55da0b1a0217b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98338, "title": "nCompass - Optimize performance on GPUs, 10x faster", "tagline": "Automate performance optimization at all levels of the AI infrastructure stack", "body": "Hey everyone,\n\n**tldr;**\n\nI’m Aditya, co-founder of [nCompass Technologies](https://ncompass.tech). We’re building a developer tool that unifies profiling, trace collaboration and trace analysis of AI systems. We automate performance optimization of AI systems across all levels of the infrastructure stack.\n\nUsing this tool, we implemented a Hopper GEMM kernel that outperformed NVIDIA's CUTLASS GEMMs by 3%, within a day - this took us months before.\n\nCheckout our product demo below. It’s free to use and you can get started today in **VS Code, Cursor or Claude Code** - [Quick Start](https://docs.ncompass.tech/quick-start)\n\n\n\n**THE PROBLEM**\n\nIdentifying the root cause of performance bottlenecks is 4-8x slower than writing the code to fix them.\n\nIf you are optimizing a system like vLLM, you have to:\n\n* Run a profile and then copy a giant trace file to your local machine just to view it.\n* Spend hours identifying opportunities for performance improvement.\n* If this involves writing a kernel, you profile the kernel, spend hours or days digging through ncu traces that are massive data dumps.\n* Then you identify your bottlenecks and formulate a plan.\n\nRunning this loop till you have a performant system can take weeks, even months.\n\n**OUR SOLUTION**\n\nBy building an AI agent that can analyze profiling data as well as interact with a bank of deep technical knowledge and expertise, we’re automating the process of identifying performance bottlenecks.\n\nNow in a single VSCode interface, you can:\n\n* Open and view trace files\n* Use our novel tools like trace diffs to analyze them\n* Generate share links to easily share traces with team members\n* Feed source + profiling data to our AI agent and get back actionable analysis on how you can optimize the performance of your system.\n\nThis applies to both systems and GPU kernel level analysis and our agent integrates directly into Cursor / Claude Code, so you never have to leave your normal workflow!\n\n**Anyone** can now write both correct and performant code with AI!\n\n**ASKS**\n\n**Install our VSCode extension** and start optimizing your systems performance!\n\n* [Quick Start](https://docs.ncompass.tech/quick-start)\n* [Detailed Docs](https://docs.ncompass.tech)\n\n**We also offer FDE services** - if you would like us to step in and analyze your system’s performance and provide you with an analysis of how much we could improve it by - reach out at [hello@ncompass.tech](https://mailto:hello@ncompass.tech)\n\n![uploaded image](/media/?type=post&id=98338&key=user_uploads/1641909/fc628a90-5565-43db-8aff-7c61e476e976)\n\n", "url": "https://www.ycombinator.com/launches/Pa6-ncompass-optimize-performance-on-gpus-10x-faster", "votes": 19, "created_at": "2026-03-02T17:12:19.098Z" }, { "id": 84604, "title": "nCompass Technologies: Reliable LLM API with no rate-limits", "tagline": "The most cost-effective way to setup and scale up your AI infrastructure.", "body": "# **Tl;dr:**\n\nWe’ve built an AI model inferencing system that can serve requests at scale like no other and now we’re releasing it to the public as a **rate-limit-free API**. We serve any open-source LLM and can also deploy optimized versions of your custom fine-tuned LLM with cost-effective autoscaling. [Sign up here](https://console.ncompass.tech/login), create an API key, get $100 of credit on us, and run as many requests as you like!\n\n# **The Problem**\n\nDeploying AI models in production requires expensive infrastructure. Serving more than \\~10req/s using open source inference engines like vLLM on a single GPU results in terrible quality of service. Time-to-first-token skyrockets to more than 10s, and end-to-end latency degrades even more!\n\n**The common solution**: horizontally scale up GPUs.\n\n**The problem**: GPU’s are expensive and hard to find.\n\n# **Why should you care**\n\n1. **API user:** These high infrastructure costs are the reason you suffer rate limits when using existing API providers.\n2. **Deploying on-prem:** Your infrastructure costs might be the reason a PoC doesn’t move to production.\n\n# **Our Solution**\n\nWe’ve built an AI inference serving system that can sustain 100s of requests per second while maintaining a time-to-first-token of <1s on \\~30% fewer GPUs when compared to NVIDIA’s NIMs containers and up to **2x fewer GPUs** when compared to vLLM.\n\nThis enables us to provide a rate-limit-free API while maintaining a high quality of service. Alternatively, we can provide this as a cost-effective on-prem deployment solution, ensuring your infrastructure costs don’t blow up with requests served. We support any open source model and can host your custom fine-tuned model as an API with autoscaling enabled as well.\n\n# **Tutorials**\n\n* [**Sign Up**](https://www.loom.com/share/bac5c44a8e694b5783f3ba7c777ce40a?sid=6226613a-2cd6-45e6-bfc3-ac0381198b2a)\n* [**Models and Pricing**](https://www.loom.com/share/f7dc12aefe304399a3975feef7e38938?sid=34c2a174-4050-40bc-b65a-844d3002e48c)\n* [**Run Inference**](https://www.loom.com/share/0933dc3fa2ba442fa789286ef75e09b8?sid=74266aa3-f24e-46d7-bcce-1f3c61d7d82e)\n\n# **Shout out**\n\nTo be able to build such a scalable and available system, we needed a top-quality hardware provider. We wanted to use this as an opportunity to shout out [Ori Global Cloud](https://www.ori.co/), a key partner in this journey, to enable a serverless Kubernetes platform for AI inference at scale. [Ori Serverless Kubernetes](https://www.ori.co/serverless-kubernetes) is an infrastructure service that combines powerful scalability, simple management, and affordability to help AI-focused startups realize their wildest AI ambitions. [Reach out to Ori](https://www.ori.co/gpu-request) for exclusive GPU cloud deals!\n\n# **Asks**\n\n* Use our self-serve console () to create an account and start running with $100 of credit.\n* Book a demo () if you would like to discuss an on-prem solution. YC deals apply!\n\nOur pricing is transparent and can be found here: ", "url": "https://www.ycombinator.com/launches/M0a-ncompass-technologies-reliable-llm-api-with-no-rate-limits", "votes": 37, "created_at": "2024-10-09T14:26:51.395Z" }, { "id": 81420, "title": "nCompass Technologies: Realtime audio denoising", "tagline": "nCompass's newest model is a realtime audio denoiser that can remove voices from the background of audio streams.", "body": "**tl;dr** nCompass has released the world’s first **Realtime Audio Denoising API** that can remove background voices from your audio stream in real time. Try it out for free on our website [here](https://www.ncompass.tech/about).\n\nToday, the world is increasingly interacting with AI models using voice. Apps and tools that rely on voice input need to be able to successfully separate background voices from the main speaker’s voice. However, this is not the case with existing voice AI products such as Deepgram’s speech-to-text (STT) converter.\n\nCheck out this demo below that shows how using nCompass’s denoiser can enable transcription tools (such as Deepgram’s STT) to be used in previously unusable scenarios.\n\n![uploaded image](/media/?type=post&id=81420&key=user_uploads/1641909/61bc7f02-4a23-4ab2-b7fc-cd2a8ad3b01e)\n\nWe have two versions of this denoiser that you can try out for free on our [website](https://www.ncompass.tech/about).\n\n1. [Offline denoising + transcription](https://www.ncompass.tech/cleaner_transcription/interactive_demo) mode, which generates cleaner transcriptions when paired with any speech-to-text provider.\n2. [Realtime audio denoising,](https://www.ncompass.tech/realtime_denoising/interactive_demo) which can take in an audio stream and remove background voices in real time. You can now get the sound quality of a private booth, regardless of where you are!", "url": "https://www.ycombinator.com/launches/LBE-ncompass-technologies-realtime-audio-denoising", "votes": 24, "created_at": "2024-06-11T16:23:04.390Z" }, { "id": 79124, "title": "nCompass Technologies - Low-latency deployment of AI models made easy", "tagline": "nCompass is an API that requires only one-line-of-code to integrate low latency versions of open-source/custom models into your AI pipeline.", "body": "**tl;dr** If unpredictable response times and rate limits of OpenAI are causing your tool’s user experience to suffer, [nCompass](https://ncompass.tech/) allows you to effortlessly tap into the world of open-source AI models while ensuring that the served models meet your target budget and performance requirements.\n\n—\n\nHey all, we are [Diederik](https://linkedin.com/in/diederik-vink) and [Aditya](https://linkedin.com/in/adityarajagopal), the co-founders of [nCompass](https://ncompass.tech/), a platform for simplified hosting and acceleration of open-source and custom LLMs.\n\n### **The Problem**\n\nLLM-based products that use closed-source model providers like OpenAI suffer from slow response times and rate limits. \n\nOpen-source models are a great alternative, but hosting a model yourself is a lot of extra work and maintenance which distracts you from your core business.\n\n### **Our solution**\n\nnCompass provides an API that allows you to integrate accelerated versions of any open-source or custom model of your choice into your AI pipeline. We support OpenAI style chat templates, work with all web frameworks, and have a time-based pricing model that results in a predictable compute cost for users.\n\n### **How it works**\n\nWe serve models to users with a simple 3-step process:\n\n1. Select your desired open-source / custom model\n2. Provide your performance requirements\n3. Set a budget you are not willing to exceed\n\nWe set up the deployment that meets these requirements and provide you with a single API Key that you can then use to integrate the model with a single line of code.\n\nWe support any model currently hosted on Hugging Face, with some highlights being: \n\n* **Mistral-7B :** 160ms Time-To-First-Token @ 86 tok/s\n* **Mixtral-8x7B :** 300ms Time-To-First-Token @ 64 tok/s\n\n### **Demo**\n\n \n\nAlso, check out our [GitHub](https://github.com/nCompass-tech/nCompass) repository for code examples.\n\n### **The team**\n\nSince we met in undergrad (9 years ago) through to our PhDs at Imperial College London, we’ve worked on every project together. Our PhDs focused on hardware acceleration of large-scale machine learning models covering all levels of the stack from algorithms and compilers down to digital hardware design.\n\n![uploaded image](/media/?type=post&id=79124&key=user_uploads/1641909/8f0f2b1e-8c86-4269-828e-a90176159dd6)\n\n### **Asks**\n\n* Book a [demo](https://calendar.app.google/eLCRjByYErh9X2hh9) \n* **Warm intros** to anyone you know who requires accelerated and/or hosted versions of open-source models.\n\nOur emails are [aditya.rajagopal@ncompass.tech](mailto:aditya.rajagopal@ncompass.tech) and [diederik.vink@ncompass.tech](mailto:diederik.vink@ncompass.tech)", "url": "https://www.ycombinator.com/launches/KaC-ncompass-technologies-low-latency-deployment-of-ai-models-made-easy", "votes": 97, "created_at": "2024-03-06T18:41:41.718Z" } ] }, { "id": 29588, "name": "Saphira AI", "slug": "saphira-ai", "former_names": [ "Saphira AI", "Saphira" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/50fee2cba3e02a1824e08a39a9224adb0d2098b5.png", "website": "https://saphira.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Saphira is the easiest way for hardware products to get safety certified and reach market faster, such as industrial robots and heavy machinery.", "one_liner": "The Enablement Layer for Physical AI", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1717266827, "tags": [ "Hardware", "Robotics", "Compliance", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "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/saphira-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/saphira-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/saphira-ai", "x_url": "https://twitter.com/saphira_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/50fee2cba3e02a1824e08a39a9224adb0d2098b5.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/29647/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAOTKCHR7A%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022720Z&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=76984abbd23aca3a771e67f5fffe47e1f1d9b2e14954c793a0ac2afe6b1829ab", "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/65/1727459788-98ebaafc9e6edb74a44fb5c9ec779514/12927dbe517675b42c6befea3a26afaa.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022720Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=70d26199307862ba54e557629caf9cf94fbd10edf05281e911cc37dc2f89606d", "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1549881, "full_name": "Akshay Chalana", "title": "Founder/CEO", "founder_bio": "Co-Founder, CEO - Saphira AI\n - \nAutomating Safety+Systems Engineering: ex-Citadel (real-time trading workflow configuration), Apple (pb-scale dataset management for Siri and Vision Pro), Tesla (made sure batteries didn't explode in the heat of the sun), Meta (PyTorch/ONNX), Hyperloop (blew up and crashed pods)", "is_active": true, "linkedin_url": "https://linkedin.com/in/akshaychalana", "x_url": "https://twitter.com/ac2zoom", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/04ff32552fea0828ae6a9941bab65428a909eddc.jpg" }, { "user_id": 386679, "full_name": "Oscar Avatare", "title": "Founder/CTO", "founder_bio": "Saphira AI (S24)\n\nFormerly at Amazon and Twitter. \n\nPassionate about helping the next generation of innovative hardware companies build safe and compliant products faster. \n\nPer aspera ad astra. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oavatare", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9090e195ceea72a74d097cd17d7e29e029b90341.jpg" } ], "jobs": [ { "id": 72982, "title": "Founding Full-Stack Engineer", "url": "https://www.ycombinator.com/companies/saphira-ai/jobs/coBVUDL-founding-full-stack-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "0.50% - 2.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 72983, "title": "Founding Applied AI Engineer", "url": "https://www.ycombinator.com/companies/saphira-ai/jobs/xzdpKAm-founding-applied-ai-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$100K - $150K", "equity_range": "0.50% - 2.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79326, "title": "Senior Industrial Functional Safety Engineer", "url": "https://www.ycombinator.com/companies/saphira-ai/jobs/kpoYQnd-senior-industrial-functional-safety-engineer", "location": "San Francisco, CA, US / Remote (US; DE)", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$100K - $200K", "equity_range": "0.10% - 2.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 81814, "title": "Founding Account Executive - Enterprise Safety & Compliance (Hardware + AI)", "url": "https://www.ycombinator.com/companies/saphira-ai/jobs/dPGz0d4-founding-account-executive-enterprise-safety-compliance-hardware-ai", "location": "San Francisco, CA, US / Remote", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "0.50% - 1.00%", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 82619, "title": "Saphira: Vanta for hardware", "tagline": "The easiest way to get safety certified.", "body": "**tl;dr: Hardware companies** use [Saphira](https://saphira.ai/) to easily **generate safety reports** and **get certified to sell** their product.\n\nWe’re [Oscar](https://www.linkedin.com/in/oavatare/) and [Akshay](https://www.linkedin.com/in/akshaychalana/), and we’ve built software for hardware and compliance at Twitter, Tesla, Amazon, and Hyperloop. \n\nWe’re making it really easy to get **UL, CE, ISO, and TÜV** certifications like **ISO 10218** and **ISO 26262** for hardware products.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfgRUpv-5EuNnEHb2YIIuVzkGDYVFRp2ZwD4LryC9TKyufX-m6IO4V8qlC90YErv5esvNgJjWF-CXaxHa1OwaBKHuRCZarwEg_h8aBjzqPVt9kxFd-aQB_m8D_SL7nwOyiLf1k0h07SsyflNQUdd_184BAh?key=Migms48Dt65ISx6x08AVig)\n\n# What are safety certifications, and who needs them?\n\nBuilding **industrial machinery** that can hurt someone, like robot arms and autonomous trucks?  Your **customers will mandate** TÜV safety certification per particular ISO and IEC standards!  \n\nBuilding **small appliances** that plug into the grid?  Many **retailers won’t sell your product,** and **commercial buildings won’t install** it unless you’re UL or CE certified!  \n\nBuilding a **satellite or communication system**?  The **FCC won’t allow** it to operate without certification!\n\nBuilding **defense equipment** for the government?  **They won’t buy** it unless it’s compliant with the relevant MIL-STDs!\n\n# Why did we start Saphira?\n\nHardware products can’t get to market because teams **don’t know how to navigate the certification process**. Unlike SaaS, there are no tools like Vanta that tell you exactly what you need to test, change, and re-evaluate in your designs to pass audits. This sucks because every hardware company we talk to gets stuck in **rework cycles** with their consultants and auditors that they call **“horrendous and intimidating”** (real customer quote).\n\nWe've seen this at Amazon and Tesla, where engineers don't know when a change breaks certification. Each iteration requires them to work with consultants to understand what broke, lengthening the time to launch.\n\nWe created Saphira to empower these innovators to **rapidly** build complex products **that actually work**, all while achieving and maintaining compliance with the **evolving regulatory landscape**.\n\n# What does Saphira do?\n\nSaphira tells you exactly what you need to account for in your **design and testing** to **achieve and maintain** hardware safety certification and compliance. We’re a centralized data source for the **requirements, tests, and standards** that are relevant to your product, making it straightforward to **identify and triage safety and compliance risks** without wasting months of time and thousands of dollars on **slow safety consultants**.\n\nSaphira automates **traceability**: regulatory reports by engineers that prove that requirements like “the robot arm won’t shock an attendant if touched while in motion” were implemented and validated. These reports are **painful and tedious** to produce. By maintaining references to all necessary source information, Saphira can automatically generate these reports, and even automatically identify which additional standard clauses are relevant to each requirement or design value.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfaxD8bMvNCW5gDewAe4uowrZviZqV3i00DsW2NM-2eVsuZCkRj_4t0oGKIJljGp0GTnS_AFmLlm1qLNUF4teYn5VTi6ZDyM1HtM1Vl56x3t0O4AKTWSq6FtmddRQWAtpes92noQLkImJgftBhWOqOKmWf0?key=Migms48Dt65ISx6x08AVig)\n\n# Who is Saphira for?\n\nSaphira is for engineers at hardware organizations of any scale and size:\n\n* The **safety engineering team** at an industrial robotics company can use Saphira’s **compliance report generator** (i.e. ISO-12100 and ISO-10218) to **achieve certification** to operate in the US.\n* An **engineering leader** at a hardware startup that needs UL certs to sell to more customers can use Saphira to speed up their process by months by avoiding hiring a slow safety consultant. \n* A **systems engineer** at an aerospace/defense company can use Saphira’s **AI tooling** to understand **how various military and government standards** (such as MIL-STD-810 or ISO-26262) are relevant to each facet of their specs and models.\n\n# Ask\n\n* We are experts in certifications for hardware companies.  If you think you might need this but aren't sure how to approach it, we are happy to help for free — [just reach out](mailto:akshay@saphira.ai).\n* If you know other engineering leaders seeking to improve their certification processes, [connect us](mailto:akshay@saphira.ai)! We are most interested in talking to leaders in industrial robotics, energy systems, autos, aeros, and defense. \n* If you worked at a larger hardware company before and saw any of these issues, we would love to talk just to learn from your experience\n* We would love product feedback: [book a demo](https://calendly.com/ac2zoom/30min)!", "url": "https://www.ycombinator.com/launches/LUZ-saphira-vanta-for-hardware", "votes": 81, "created_at": "2024-07-31T18:47:18.084Z" }, { "id": 81405, "title": "Saphira AI - Orchestrating safe hardware engineering", "tagline": "Intelligent engineering design management for safety-critical products", "body": "**tl;dr:** We capture **requirements and design** in a central platform so that safety for complex physical products can be continuously evaluated: a simple and easy-to-use alternative to Jama or IBM DOORS.\n\nWe’re [Oscar](https://www.linkedin.com/in/oavatare/) and [Akshay](https://www.linkedin.com/in/akshaychalana/), and we’ve built hardware controls and virtualization for Tesla, Amazon, and Hyperloop. We’ve blown up prototypes and fried lasers by not applying effective system design and are building tools to make it easier to prevent such failures.\n\n![uploaded image](/media/?type=post&id=81405&key=user_uploads/1549881/efe6234d-8f86-4d19-b499-4fc3380514eb)\n\n# Why did we start Saphira?\n\nWhile building Hyperloop pods, we struggled with unusual and novel constraints: we had to take the propulsion, braking, and electronics of a sophisticated train and make them work perfectly in a vacuum chamber. Basic things that work in the normal world just didn’t there: network activity was severely throttled so remote control and telemetry were difficult, and electronics would arc more easily, requiring additional protections. This mandated that we put together clear **product requirements** that we needed to integrate and validate across the entire implementation stack, which turned out to be so hard that we struggled to get our pods working in time and faced weeks of all-nighters just to fail review and be barred from the race!  \n\nSince then, we’ve been searching for how large organizations we’ve been part of, like Tesla and Amazon, have made this easier: in truth, they haven’t! The most mature, most established industries, such as aerospace, account for this with **process**: intensive modeling, documentation, and data entry that **innovators don’t have time for**. When regulation and certification standards are put in place, **products are taken off the market or endure years-long delays**. \n\nWe created Saphira to empower these innovators to rapidly build complex products **that actually work**, all while achieving and maintaining compliance with the **evolving regulatory landscape**.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXc5i1avhrYfKOrHWzQzEyt6C88KBCZnFtCGL4YRw6nTaPipxU2-cXEpcxY4d9qHtMD0sO84I2xragUNrmUAdAju9BAD-HWgoS54BIUZX2U-bNV4n_cv0WnQwgnTq-zsSdo5Vf-6L6h8SJ0dKuJoPWOEygG3?key=Ebyb5ZyTMv3M7lBQpS9B7Q)\n\n# What does Saphira do?\n\nSaphira is a **single source of truth** where requirements, architecture, and tests can all be entered, parsed from existing documents, and tied together so that safety risks are identified and triaged quickly.\n\nSaphira is the easiest way to demonstrate **traceability**: regulatory reports by engineers that prove that requirements like “the Hyperloop pod must not catch fire in a vacuum chamber” were implemented and validated. These reports are painful and tedious to produce: by maintaining references to all the source information for them, Saphira can automatically generate them! Most importantly, Saphira removes systems engineers as a bottleneck to updating foundational engineering data, enabling any engineer to model and report on safety and compliance, making traceability easy for any fast-moving team.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXe_cgZGZGZLN8qYxQsHQhSKZbvtyL0vH1UGAAEu8uQr02TBKvptPzordelrm_y0Ltrns4l7GOCUsEjQYy1F8l1igdLtVx85IywthG9bRGS6CsAQI9zTzAVYbLV6aIdKlFwj64DEsu2_hGe-PMGeew_SbAl2?key=Ebyb5ZyTMv3M7lBQpS9B7Q)\n\nUltimately, we see traceability as not just a regulatory requirement but an enabler for automated engineering: as engineers define the relationships we use to sync data between, say, their codebase and task management system, this can be used to automatically propagate changes across an entire system! For example, one could change the requirement for a motor to produce 200 Nm of torque to 300 Nm: since they had linked this through a formula in Saphira to the current draw requirement from the battery, we would automatically update that in the power distribution PCB schematics, short-circuiting hours of work per change!\n\n# Who is Saphira for?\n\nSaphira is for engineers at innovative companies designing and building safety-critical hardware and software systems at organizations of any size:\n\n* The **safety engineering team** at an industrial robotics company can use Saphira’s **compliance report generator** (i.e. ISO-12100 and ISO-10218) to **achieve certification** to operate in the US a year faster than it otherwise would be able to.\n* A **systems engineer** at an AV startup can use Saphira’s test management framework to perform **release safety reviews** 50% faster and double their pace of software iteration.\n* The **head of hardware** responsible for **writing product requirements** at an energy startup that makes residential batteries can use Saphira’s **AI tooling** to parse design documents and generate supplier specifications in half the time to get faster quotes from prospective manufacturers and ship to customers sooner.\n\n# Ask\n\n* If you are seeking an engineering/application lifecycle management, requirements management, or systems engineering tool for your hardware company, [let’s talk](mailto:akshay@saphira.ai)!\n* If you know other engineering leaders seeking to improve their processes, [connect us](mailto:akshay@saphira.ai)! We are most interested in talking to leaders in industrial robotics, energy systems, autos, aeros, and defense. \n* If you worked at a larger hardware company before and saw any of these issues, we would love to talk just to learn from your experience\n* We would love product feedback: [book a demo](https://calendly.com/ac2zoom/30min)!", "url": "https://www.ycombinator.com/launches/LAz-saphira-ai-orchestrating-safe-hardware-engineering", "votes": 113, "created_at": "2024-06-10T15:48:04.873Z" } ] }, { "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": 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": 29688, "name": "camfer", "slug": "camfer", "former_names": [ "Camfer Inc.", "Camfer" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c19c2043057dddb96aa0fb4c1eb11f547911f429.png", "website": "https://www.camfer.dev/", "all_locations": "San Francisco, CA, USA", "long_description": "camfer is the AI CAD tool. Now, engineers can create parametric designs with natural language.", "one_liner": "Building the world’s first AI mechanical engineer.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1726008426, "tags": [ "Generative AI", "Hardware", "Productivity", "Manufacturing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/camfer", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/camfer.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/camferinc", "x_url": "https://x.com/camfer_inc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c19c2043057dddb96aa0fb4c1eb11f547911f429.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1991210, "full_name": "Arya Bastani", "title": "Founder/CEO", "founder_bio": "Berkeley '23. FRC kid. I like electric racecars. Trained transformers to interpret EEG in BLISS Lab @ Berkeley. ex-AWS.\n\nMore @ aryabastani.com", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/arya-bastani/", "x_url": "https://x.com/AryaBastani", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/93f7ecd2abe2c21f44ee7a09152b6cc2addd9baf.jpg" }, { "user_id": 1366466, "full_name": "Keaton Elvins", "title": "Founder", "founder_bio": "EECS honors grad @ UC Berkeley, helped launch Amazon Q to millions of users", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/keatonelvins/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8147ee1991bdc3291e0efc46139580ee0dd53bfe.jpg" }, { "user_id": 1395477, "full_name": "Roth Vann", "title": "Founder", "founder_bio": "Dropped out of UCR to work on ads at Meta. Dropped out of Meta to build Camfer.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/rothvann/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/03748e361f6b95daf6cd973e55d2cf1272dd8f62.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 29753, "name": "Autumn Labs", "slug": "autumn-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5df469af020f91ac0b4d19796abb3d31c3518288.png", "website": "https://www.autumnlabs.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Autumn Labs delivers a developer-friendly platform for monitoring and managing modern manufacturing lines. Seamlessly integrating with robotic stations—automated test stations, robotic assembly cells, and industrial arms—it ensures full traceability, live data monitoring, and secure data transport. We prioritize streamlining factory operations, boosting production quality, and preventing supply chain disruptions, all while offering an effortless onboarding experience for engineers and manufacturers.", "one_liner": "Datadog for industrial robots", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1724817075, "tags": [ "Hardware", "Robotic Process Automation", "SaaS", "Robotics", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/autumn-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/autumn-labs.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5df469af020f91ac0b4d19796abb3d31c3518288.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 991674, "full_name": "Prathik Muppidi", "title": "Founder/CEO", "founder_bio": "University of Waterloo Mechatronics Engineering, ex-Google Engineer", "is_active": true, "linkedin_url": "https://linkedin.com/in/prathikmuppidi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ae728870bbb8d337d10dc9aecf09f3058982fe3b.jpg" }, { "user_id": 1250574, "full_name": "Harsh Bhatt", "title": "Founder/CTO", "founder_bio": "Ex. Apple | Mechatronics Engineering @ University of Waterloo", "is_active": true, "linkedin_url": "https://linkedin.com/in/harshmbhatt", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f9cfe0f35ded2657954fedd4b377c34d61c80e6c.jpg" }, { "user_id": 309960, "full_name": "Sam Monga", "title": "Founder/CTO", "founder_bio": "Hardware software engineer", "is_active": true, "linkedin_url": "https://linkedin.com/in/sammonga", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ba15caa4ff5b343488e5acfc1fd1063b92da206c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83709, "title": "Autumn Labs - Monitoring platform for industrial robots and manufacturing", "tagline": "Detect machine downtime, process quality, and factory issues — in real time. ", "body": "**tl;dr:** [Autumn Labs](https://www.autumnlabs.io/) delivers a unified platform to monitor and manage modern factories. Our SDK seamlessly integrates with manufacturing systems (test stations, assembly robots, industrial arms, and manual stations) to provide real-time monitoring, control, and production data management. The result? Lower operation costs, higher product quality, and a smoother production line.\n\n🍁 = 🤖 + 🏭 + 📊\n\n### **Problem - Advanced Machines, Outdated Infrastructure**\n\nThe adoption of robots in manufacturing is exploding, especially to keep up with producing increasingly more complex products and shortages in skilled labor. However, the infrastructure in which these robots would be deployed is still years behind.\n\nWithout effective systems, manufacturing physical products might seem like an insurmountable black box, especially when they are made in factories on another continent where critical information is only reported via spreadsheets every other week.\n\nThe past: [_src_](https://www.youtube.com/watch?app=desktop&v=xqPfY8S5HJ4)\n\n![uploaded image](/media/?type=post&id=83709&key=user_uploads/991674/84c0d0be-c84c-4872-84f8-20aa591d28a6)\n\nToday: [_src_](https://www.youtube.com/watch?app=desktop&v=luFGI13Mv8o)\n\n![uploaded image](/media/?type=post&id=83709&key=user_uploads/991674/2da6a941-47af-48e3-aaf4-4ddee5351437)\n\nBut the manufacturing data is always lagging and still looks like this:\n\n![uploaded image](/media/?type=post&id=83709&key=user_uploads/991674/5472966f-362b-483b-9117-37b4730a3676)\n\n### **Solution - Seamless Integration, Real-time insights**\n\nAutumn Labs provides an SDK that’s easy to integrate into any robotic architecture, enabling seamless monitoring and management of machines and, ultimately, the factory in which they reside. This way, robotic integrators and developers have a standard platform where they pull and push critical data that’s specific to their machine’s tasks. Both factory operations and engineering teams are able to get actionable data they need to improve production utilizations and process quality.\n\n_A Unified Platform for Hybrid Factories:_\n\nOur platform is built for hybrid factory lines, too, allowing for seamless integration of manual human assembly stations. Factory personnel can now get a holistic view of your factory's performance—robotic or not.\n\n![uploaded image](/media/?type=post&id=83709&key=user_uploads/991674/8d55d085-5141-4c8e-a11f-d4751a050099)\n\nWith Autumn Labs, you can track, triage, and push fixes for:\n\n1. Robotic assembly stations/cells\n2. Automated test stations\n3. Palletizing robots\n4. Manual assembly stations\n\n### **Traction - Real Results, Real Impact:**\n\nAutumn Labs is already monitoring and managing 50+ automated factory stations in 4 different consumer electronics factory lines across multiple companies and contract manufacturers. There’s a good chance that a product you use today has gone through our platform.\n\nWhy our customers love us:\n\n1. Clear insights into Manufacturing Value Added (MVA) costs\n2. Increased machine utilization\n3. Rapid improvements in production quality\n4. Enhanced product development cycles\n\n### **Meet the Founders**\n\nWe’re [Sam](https://www.linkedin.com/in/sammonga/), [Harsh](https://www.linkedin.com/in/harshmbhatt/), and [Pra](https://www.linkedin.com/in/prathikmuppidi/)[thik](https://www.linkedin.com/in/harshmbhatt/) — Mechatronics engineers from the University of Waterloo with decades of combined experience at Apple (iPhone), Google (Nest), and Meta (Oculus). After countless sleepless nights fixing robotic assembly lines and test stations, we decided it was time to create the ultimate tool for manufacturing. We’re building the solution we wish we had back then.\n\n![uploaded image](/media/?type=post&id=83709&key=user_uploads/991674/4ecd6fa2-6352-46ae-a602-f69219f0fe93)\n\n### **Our Ask - Let's Transform Manufacturing Together**\n\nKnow someone struggling to get real-time data from robots, test stations, or factories? Let’s talk. Reach us at [founders@autumnlabs.io](mailto:founders@autumnlabs.io)", "url": "https://www.ycombinator.com/launches/Lm9-autumn-labs-monitoring-platform-for-industrial-robots-and-manufacturing", "votes": 35, "created_at": "2024-09-03T16:30:31.314Z" } ] }, { "id": 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": 29851, "name": "Diode Computers, Inc.", "slug": "diode-computers-inc", "former_names": [ "Schematx", "Diode, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1e7f9d9a50296d38458d5ad7a76c87823682bc2.png", "website": "https://diode.computer", "all_locations": "New York City, NY, USA", "long_description": "Diode automates circuit board design. We work with hardware companies to get them the PCBs they need, fast.", "one_liner": "Automate circuit board design using AI", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1722536101, "tags": [ "Hardware", "Manufacturing", "Electronics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/diode-computers-inc", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/diode-computers-inc.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/diode-inc/", "x_url": "http://x.com/diodeinc", "fb_url": null, "cb_url": null, "github_url": "https://github.com/diodeinc", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1e7f9d9a50296d38458d5ad7a76c87823682bc2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4a8771114ff9f0e674b1430ce569d90409522fc7.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1931106, "full_name": "Davide Asnaghi", "title": "Founder/CEO", "founder_bio": "I make circuit boards", "is_active": true, "linkedin_url": "https://linkedin.com/in/d-asnaghi", "x_url": "https://x.com/davideasnaghi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/187b99f2a5386d00d754fd577d594158498d727c.jpg" }, { "user_id": 79914, "full_name": "Lenny Khazan", "title": "Founder/CTO", "founder_bio": "Lenny is the Co-Founder and CTO @ Diode Computers, Inc.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lennykhazan", "x_url": "https://twitter.com/LennyKhazan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b5315443bdfa5eecabdbce72fff7f0ee8294cba7.jpg" } ], "jobs": [ { "id": 76882, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/diode-computers-inc/jobs/V8LqvBH-senior-software-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $240K", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Rust", "TypeScript" ] }, { "id": 84722, "title": "Staff Electrical Engineer", "url": "https://www.ycombinator.com/companies/diode-computers-inc/jobs/UAUsCJS-staff-electrical-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$140K - $200K", "equity_range": "0.10% - 0.30%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Python", "Rust", "Altium", "OrCAD" ] } ], "news": [ { "title": "Making Claude a better electrical engineer | Claude", "url": "https://claude.com/blog/making-claude-a-better-electrical-engineer", "date": "Dec 11, 2025" }, { "title": "How Diode Is 10x-ing Hardware Design", "url": "https://www.youtube.com/watch?v=ryHJuYzUejs", "date": "Jul 23, 2025" }, { "title": "AI-Powered Circuit Board Design Startup Diode Lands $11.4 Million Series a - Business Insider", "url": "https://www.businessinsider.com/ai-circuit-board-diode-a16z-series-a-y-combinator-2025-7", "date": "Jul 22, 2025" } ], "launches": [ { "id": 83244, "title": "Diode Computers, Inc. — Circuit boards as a service", "tagline": "Diode automates the circuit board design and ordering process for engineers.", "body": "Ciao Y Combinator! We’re [Davide](https://x.com/davideasnaghi) and [Lenny](https://www.linkedin.com/in/lennykhazan/) from [Diode Computers, Inc.](https://diode.computer/)\n\n**TL;DR: Diode is an end-to-end platform for circuit board design. With the help of AI, we can finish a months-long design project in days, and then ship working boards straight to your door.**\n\n**Try out our designer at **[**https://pcb.new/**](https://pcb.new/)**, or shop generated boards at **[**https://pcb.store/**](https://pcb.store/)**.**\n\n\n\n# Problem\n\nDesigning printed circuit boards (PCBs) is really hard. Existing tools provide little opportunity for design reuse, so most projects are started from scratch. Since there’s no good way to test your design, your best bet is to just order them and hope for the best.\n\nThought you were done? Nope — ordering PCBs is a pain too. Now you need to source the components, ship them across the globe to your manufacturer, and constantly be on the lookout for part shortages and replacements. It’s a full-time job.\n\n# Solution\n\nDiode solves this by owning the entire PCB design process end-to-end. It starts with a core of composable, reusable modules that users can stitch together to build their boards. When new use cases come up, our AI generator creates new modules in seconds instead of days. And with rigorously-tested modules instead of de novo designs, we can be confident that each board works first try.\n\n![uploaded image](/media/?type=post&id=83244&key=user_uploads/79914/00e25ff4-abe8-49d4-94c3-e74a925eb0a3)\n\nWe then take the user’s design and automatically translate it into manufacturing requirements to send to the factory. We stockpile all of the necessary components to remove the burden of supply chain management from users and amortize the cost of parts across all designs.\n\nThe result is an all-in-one platform for hardware design: describe what you need and get working boards delivered to your door.\n\n# Why\n\nIn a past life, we designed hardware at companies like Apple, and we encountered a problem: PCBs never worked on the first try. At best, they required micro-soldering surgery under a microscope and, at worst, a whole new board. These issues were driving us mad, so we started a company to fix it.\n\nWe want to make hardware design work more like software. Fast iteration cycles, reusable components with clean composition, and one-click ordering to build your products fast and cheap. Our vision is to turn PCB design into a software problem.\n\n**P.S.** Want a customized NFC business card with your logo? Get your own: \n\n![NFC Business Card (x10)](https://pcb.store/cdn/shop/files/back.png?v=1724092003&width=1445)\n\n", "url": "https://www.ycombinator.com/launches/Lee-diode-computers-inc-circuit-boards-as-a-service", "votes": 83, "created_at": "2024-08-20T20:15:39.588Z" } ] }, { "id": 29992, "name": "Outerport", "slug": "outerport", "former_names": [ "haipera", "Haipera", "Outerbasis" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2fd2342d3ea6b9592dfb0ad90c6249ad7c9ee05.png", "website": "https://outerport.com", "all_locations": "San Francisco, CA, USA", "long_description": "We’re about to see an influx in the AI-led discovery of new medicines, specialty chemicals, and materials. This means the bottleneck will shift from R&D, to the scale-up of these new recipes. Unfortunately, designing these production systems and making sure they can be operated safely is an expensive and labor-intensive ordeal that involves thousands of pages of drawings where one mistake can cause millions of dollars in rework or even disasters. Outerport solves this by helping engineering firms automate the design of the industrial control systems needed for production scale-up, using a domain-specific language for electrical design with thousands of unit tests that verify performance, and building simulators that can ingest already built schematics of plants to help automate comissioning and help train operators to prevent costly mistakes.", "one_liner": "Design automation for industrial electrical controls", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1721673756, "tags": [ "Hardware", "Design", "Manufacturing", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/outerport", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/outerport.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/outerport", "x_url": "https://x.com/outerport", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2fd2342d3ea6b9592dfb0ad90c6249ad7c9ee05.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 231327, "full_name": "Towaki Takikawa", "title": "Founder/CEO", "founder_bio": "Ex-Research Scientist at NVIDIA, working on R&D for simulation (neural fields, 3D computer vision, 3D generative models). Previously worked in robotics (systems engineering / electro-mechanical design) and manufacturing (operating various CNC machines 😎).", "is_active": true, "linkedin_url": "https://linkedin.com/in/tovacinni", "x_url": "https://x.com/yongyuanxi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/517caf29a4afd4a93916d324c052859963ad85db.jpg" } ], "jobs": [ { "id": 81669, "title": "Member of Technical Staff, Computer Vision / Graphics", "url": "https://www.ycombinator.com/companies/outerport/jobs/XyfMWG2-member-of-technical-staff-computer-vision-graphics", "location": "San Francisco, CA, US / Tokyo, JP", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$100K - $200K", "equity_range": "0.50% - 3.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Python", "Torch/PyTorch", "OpenCV", "Computer Vision" ] }, { "id": 88429, "title": "Member of Technical Staff, Tokyo Deployed", "url": "https://www.ycombinator.com/companies/outerport/jobs/mMUcpLv-member-of-technical-staff-tokyo-deployed", "location": "San Francisco, CA, US / Tokyo, JP / Remote (US; JP; CA)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$60K - $200K", "equity_range": "0.50% - 3.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "React", "TypeScript", "Next.js" ] }, { "id": 95319, "title": "Member of Technical Staff, Process Engineering", "url": "https://www.ycombinator.com/companies/outerport/jobs/xNvEant-member-of-technical-staff-process-engineering", "location": "San Francisco, CA, US / Tokyo, JP / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Chemical engineering", "salary_range": "$60K - $200K", "equity_range": "0.50% - 3.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 95320, "title": "Business Development / Operations, Tokyo", "url": "https://www.ycombinator.com/companies/outerport/jobs/xOHQwfu-business-development-operations-tokyo", "location": "Tokyo, JP", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $200K", "equity_range": "0.10% - 3.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114954, "title": "Member of Technical Staff, DSL for Automation & Electrical CAD", "url": "https://www.ycombinator.com/companies/outerport/jobs/sRFUnQ9-member-of-technical-staff-dsl-for-automation-electrical-cad", "location": "San Francisco, CA, US / Tokyo, JP / Remote (US; JP; CA)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$100K - $300K", "equity_range": "1.00% - 5.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 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. The next generation of great machines — electric vehicles, robotics, aerospace, and industrial systems — depends on power electronics that are lighter, cheaper, more efficient, and built at real scale.\r\n\r\nWe push the Pareto frontier of power electronics through multi-disciplinary design. We're the OEM that customers actually appreciate.", "one_liner": "Next-Generation Power Electronics", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1740381508, "tags": [ "Hardware", "Electric Vehicles", "Electronics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "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": [ { "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 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. This will have Trillion dollar implications for the global economy." } ], "url": "https://www.ycombinator.com/companies/steinmetz", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/steinmetz.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/steinmetzinc/", "x_url": "https://x.com/SteinmetzInc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a01f59af390bfd92ad55d1f62a2729543663f92.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/12765d8739b7923172d4db7b646dd0908398afee.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4ce6bbf524e0c8177ba1116f5eeb5e7779913f7f.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 596175, "full_name": "Owen Brake", "title": "Founder/CEO", "founder_bio": "Multi-disciplinary engineer with a track record of building across industries—from high-performance brake systems to GHz FCC compliance and scaling production SQL databases with 10B+ records.\n\nPreviously developed motor controllers at Tesla. 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": 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": 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": 30234, "name": "Adam", "slug": "adam", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cfc860ae54b7e3a7f3fdaf19550aa06087041ede.png", "website": "https://adam.new/", "all_locations": "San Francisco, CA, USA", "long_description": "Applied AI lab building end-to-end agents for mechanical design.", "one_liner": "AI Powered CAD", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1737056992, "tags": [ "Hardware", "Design", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/adam", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/adam.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/adamcad/", "x_url": "https://x.com/adamdotnew", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Adam-CAD", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cfc860ae54b7e3a7f3fdaf19550aa06087041ede.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": 1626462, "full_name": "Zach Dive", "title": "Founder/CEO", "founder_bio": "You can just make things. Previously AI Research & Engineering @Adept and Design @Berkeley. \n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/zacharydive", "x_url": "https://x.com/zachdive", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/903f1eaa387d6bf875a1e88928ba664f98623c40.jpg" }, { "user_id": 1806102, "full_name": "Aaron Li", "title": "Founder", "founder_bio": "CPO & Co-Founder @Adam. Shipped designs to millions of people @VIVO | Previously @BMW, NIO, and Design @Berkeley. \n\nBuilding the future of CAD and manufacturing.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aaronlico/", "x_url": "https://x.com/aaronhetengli", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/09cc03343ab252b20f3cf1ca5a78368c6275cd2b.jpg" } ], "jobs": [ { "id": 76418, "title": "Residency (Summer 2027)", "url": "https://www.ycombinator.com/companies/adam/jobs/VOGhQkx-residency-summer-2027", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$6.7K - $10K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 80511, "title": "MTS - Founding Research Engineer", "url": "https://www.ycombinator.com/companies/adam/jobs/olALosA-mts-founding-research-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$200K - $300K", "equity_range": "1.00% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python", "Torch/PyTorch", "Machine Learning", "Deep Learning", "Evals" ] }, { "id": 80561, "title": "MTS - Founding Engineer", "url": "https://www.ycombinator.com/companies/adam/jobs/q6td4uk-mts-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $300K", "equity_range": "1.00% - 2.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "JavaScript", "Python", "React", "TypeScript", "SQL", "Software Architecture", "Next.js" ] }, { "id": 106707, "title": "MTS - Forward Deployed Mechanical Engineer", "url": "https://www.ycombinator.com/companies/adam/jobs/cZ7rfHL-mts-forward-deployed-mechanical-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $250K", "equity_range": "1.00% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87143, "title": "Adam - AI Co-Pilot for CAD ⚙️⚙", "tagline": "Adam helps engineers 10x their CAD workflows with simple AI prompts", "body": "Hey YC! 👋\\\n\\\nWe're [Aaron](https://x.com/aaronhetengli), [Avi](https://x.com/avimakesrobots) and [Zach](https://x.com/zachdive) from Adam and we are building AI Powered CAD for mechanical design. Our first launch is our Text to CAD editor. Some of our early users have called it the **Vercel V0 for CAD**. You simply put a prompt in on our web-app and we generate a parametric CAD file for you. Check out our fun promo vid 👇.\\\n\\\nhttps://youtu.be/Pw6KGqgygqw\n\n**TL;DR:**\n\n* 🔧 Use our **Text-to-CAD** model to accelerate your mechanical design workflows\n* 🪛 Adjust the **Parametric CAD** with our dynamically generated sliders\n* 🛠 Export and **ready to 3D print in seconds**\n\n### **Problem**\n\n**Slow**\\\nLegacy CAD software is weighed down by antiquated UX and outdated geometry rendering from the early 90s.\n\n**Repetitive** \\\nMechanical engineers and design professionals spend hours everyday restarting projects due to rigid workflows. The current tools are clunky and slow to iterate in meaning the iteration process is greatly slowed down.\n\n**Demands significant expertise**\\\nThe complexity of CAD tools hinders rapid prototyping and wider adoption.\n\n### \n\n### **Solution**\n\nDesign professionals spend hours every week converting ideas into CAD design and its complexity often creates barriers for both professionals and newcomers. The Adam web-app provides a frictionless experience to start rapidly prototyping and shipping out great ideas.\n\n**We support two different modes of interaction**\n\n_1. Conversational design through chat_\n\n![uploaded image](/media/?type=post&id=87143&key=user_uploads/1626462/6c4b0839-2b67-4e55-b857-ae6e11f20703)\n\n_2. Parametric edits through sliders_\n\n![uploaded image](/media/?type=post&id=87143&key=user_uploads/1626462/e97bde5c-d49a-4be9-b1b0-4e0fc329a5fa)\n\n### **One more thing..**\n\nWe are building an Adam Co-Pilot that integrates seamlessly within professional-grade CAD workflows. Think of this as the **Cursor for CAD.** It takes in the context of your CAD environment and is able to make directed edits for you. Check out an early prototype (more on this to come…)!\\\n\\\nhttps://www.loom.com/share/7c945465a21e4fb7abfd557299be4925\n\n### **We are on a mission to remove the friction between engineering and reality so more great ideas come into existence.**\n\n👉 If you resonate, please reach out to us here: [founders@adamcad.com](mailto:founders@adamcad.com)\n\n<3\\\nCheck out our website: [www.adamcad.com](https://www.adamcad.com/)\n\n![uploaded image](/media/?type=post&id=87143&key=user_uploads/1626462/d50e9f22-e38f-4a6d-b0b7-eea7dedcba0a)\n\n", "url": "https://www.ycombinator.com/launches/MfX-adam-ai-co-pilot-for-cad", "votes": 212, "created_at": "2025-01-24T18:32:15.271Z" } ] }, { "id": 30242, "name": "Oki", "slug": "oki", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2739d81dbffcc2b373478801ae236fbf5c3b86d0.png", "website": "https://okihome.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Your life’s context, in one device. Oki Home is a memory computer that grows with you, keeping your data and personal intelligence on hardware you own.\r\n\r\nA future of limitless, personalized tokens for every consumer.", "one_liner": "The memory computer for your digital life.", "team_size": 6, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1739303977, "tags": [ "Hardware", "Consumer", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Consumer" ], "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/oki", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/oki.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/oki-ai", "x_url": "https://x.com/Luofei_Chen", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2739d81dbffcc2b373478801ae236fbf5c3b86d0.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": 341385, "full_name": "Luofei Chen", "title": "Founder/CEO", "founder_bio": "co founder and ceo at Oki\nUC Berkeley M.E.T. - dual degree in Engineering and Business\nHappy to chat! chenluofei@gmail.com\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/luofei-c/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff263a51901a2fe7ef2020ef42ff365ba0ba02ac.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92002, "title": "Oki AI - Personalized Updates on Company Progress", "tagline": "All the context you need to run your company, delivered daily. ", "body": "Hey! 👋 Luofei and Aayush here from [**Oki**](https://www.okiapplications.com/).\n\n**TL;DR**\n\nOki reads your team’s code, tickets, docs, and messages, then drops a personalized, interactive update to you every morning. You start the day knowing exactly what’s shipping, slipping, or on fire - no digging required.\n\nhttps://youtu.be/gEc8SP4SmaQ\n\n\\\n**Problem:**\n\nAs a startup grows, the once-lean, founder-led culture slows down: information scatters, teams bloat, and leaders lose line-of-sight on what’s really happening. **Decisions suffer because the right context no longer finds its way to the right people.**\n\nIn an ideal world, you wake up to all the context you need.\n\n[**For our customers, Oki AI is that ideal world.**](https://www.okiapplications.com/)\n\nConnect your apps once, and Oki sends a personalized report daily to every leader at your company. And it’s not just an email; Oki allows you to dig into sources, timelines, and teams, ensuring you always have full context to make every decision.\n\n![uploaded image](/media/?type=post&id=92002&key=user_uploads/341385/4ef26d26-4622-47b0-a836-29722bc9ca46)\n\n\\\n🚀 **Get your first Oki report today.**\n\n[**Oki AI**](https://www.okiapplications.com/) is fully self serve and only takes 5 minutes to set up.\n\nWe’d also love to show you how awesome Oki is thru a demo:\n\n📅 Calendly: [https://calendly.com/oki-applications/oki-20-minute-chat/](https://calendly.com/oki-applications/oki-20-minute-chat/%5C)\n\n📬 Email: [founders@okiapplications.com](mailto:founders@okiapplications.com)", "url": "https://www.ycombinator.com/launches/Nvu-oki-ai-personalized-updates-on-company-progress", "votes": 18, "created_at": "2025-07-09T13:58:24.508Z" }, { "id": 87868, "title": "Oki AI - Automated Project Tracking for Engineering Leaders", "tagline": "AI Insights to automate project tracking and Boost Eng Productivity", "body": "Hey everyone! Luofei and Aayush here from Oki.\n\n**TL;DR**\\\nOki unifies data from Slack, GitHub, Jira, and more into one AI-powered dashboard, so Engineering leaders can automatically track progress, better allocate resources, and boost org productivity. No more endless hunts for ground truth or time-consuming status updates!\n\n**Demo**\\\n\n\n**The Problem**\\\nCTOs, VPs, and Directors of Engineering can’t truly see what’s happening across their teams. Even with teams of direct reports and countless status meetings, updates get missed, priorities shift, and some projects get overlooked. There’s too much context for any one person to track, leading to incomplete or inaccurate reporting.\n\n**The Solution**\\\nOki aggregates all your project data - no setup or manual input required - and surfaces behind-schedule items, emerging blockers, and under-resourced teams. You can drill down into any issue to see exactly what’s happening, so instead of spending meeting time asking, “What’s the status?” you can focus on, “How do we fix it?”\n\n**Our Ask**\n\n* If you’d like to use Oki right away - we’d love to chat! Here’s our email: [founders@okiapplications.com](mailto:founders@okiapplications.com)\n* If you know someone who’d love to use Oki, we would greatly appreciate an intro!\n* Chat with us about anything at [luofei@okiapplications.com](mailto:luofei@okiapplications.com), [aayush@okiapplications.com](mailto:aayush@okiapplications.com) - we’d love any feedback too!\n\n \n\n![uploaded image](/media/?type=post&id=87868&key=user_uploads/341385/f809168f-a9a4-41b5-bfd4-6acd00fffa9d)\n\n", "url": "https://www.ycombinator.com/launches/MrE-oki-ai-automated-project-tracking-for-engineering-leaders", "votes": 24, "created_at": "2025-02-20T18:08:22.375Z" } ] }, { "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": 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": 30365, "name": "Mentra", "slug": "mentra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7244027171670b7caf312b35e16b9e5cfdd49164.png", "website": "https://mentra.glass", "all_locations": "San Francisco, CA, USA", "long_description": "Mentra is building the open source operating system for smart glasses. The smart glasses hardware is finally ready, so we're building the OS and app store to power the next computing platform.", "one_liner": "Building the open source smart glasses operating system.", "team_size": 12, "industry": "Consumer", "subindustry": "Consumer -> Virtual and Augmented Reality", "launched_at": 1738358223, "tags": [ "Hardware", "Consumer", "Open Source", "AI", "AR" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Consumer", "Virtual and Augmented Reality" ], "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/mentra", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/mentra.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mentra-labs", "x_url": "https://x.com/MentraLabs", "fb_url": null, "cb_url": null, "github_url": "https://github.com/mentralabs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7244027171670b7caf312b35e16b9e5cfdd49164.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/70/1741815063-3346fa6dd1283054ad4d83e851fad431/4924d1344d832397056b0e33399a1db5.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022726Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=07a876634d458ece6858dff57258d2ba748adbcf4a155dfc1ddfe907d4f1dc70", "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 899367, "full_name": "Cayden Pierce", "title": "Founder/CEO", "founder_bio": "Worked with the inventor of smart glasses. Built the OpenSourceSmartGlasses hardware and demoed at CES. Joined MIT Media Lab to make proactive AI smart glasses. Dropped out of MIT to start Mentra.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cayden-pierce/", "x_url": "https://x.com/caydengineer", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/290607ab9db932c6e26a506f336d80a582498618.jpg" }, { "user_id": 590151, "full_name": "Alexander Israelov", "title": "Founder", "founder_bio": "I started building smart glasses during my CS degree. Built the OpenSourceSmartGlasses hardware and proactive AI system. Worked at a spatial computing company in HK+Shenzhen to start Mentra.\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/alexanderisraelov", "x_url": "https://x.com/a_israelov", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9eee4da98679bc40a43bd2cf5de6567ce309487d.jpg" } ], "jobs": [], "news": [ { "title": "Mentra Raises $8 Million To Launch Open-Source OS For Smart Glasses", "url": "https://www.forbes.com/sites/charliefink/2025/07/01/mentra-raises-8-million-to-launch-open-source-os-for-smart-glasses/", "date": "Jul 01, 2025" } ], "launches": [] }, { "id": 30430, "name": "Almond", "slug": "almond-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/37312e12dc6f12e2470a531052ec0e30ee697a75.png", "website": "https://almond.bot/", "all_locations": "San Francisco, CA, USA", "long_description": "We build robots for physical AI. Meet Axol - A dual-arm robot designed for real-world tasks using AI.", "one_liner": "A dual-arm robot built for physical AI.", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1745432874, "tags": [ "Hardware", "Robotics", "Manufacturing", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/almond-2", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/almond-2.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/almond-inc", "x_url": "https://x.com/almond_robotics", "fb_url": null, "cb_url": null, "github_url": "github.com/orgs/almond-bot/repositories", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/37312e12dc6f12e2470a531052ec0e30ee697a75.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 33058, "full_name": "Saba Khalilnaji", "title": "Founder/CEO", "founder_bio": "ex-DoorDash logistics engineer & ex-CTO Conduit (W23)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/saba-khalilnaji-853631241/", "x_url": "https://twitter.com/saba_khalilnaji", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/06726c32d6bbe24037817517e07713cd6f57f7ee.jpg" }, { "user_id": 1049100, "full_name": "Shawn Patel", "title": "Founder/CTO", "founder_bio": "🤖", "is_active": true, "linkedin_url": "https://linkedin.com/in/shawnpatel", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c9b2f7b4ac6a5d23217331e11b703fcb1d08bcb1.jpg" } ], "jobs": [ { "id": 86930, "title": "Founding Robotics Software Engineer", "url": "https://www.ycombinator.com/companies/almond-2/jobs/RXD2GSW-founding-robotics-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$130K - $200K", "equity_range": "0.50% - 3.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Rust", "Torch/PyTorch", "WebVR" ] }, { "id": 86932, "title": "Founding Mechanical Engineer", "url": "https://www.ycombinator.com/companies/almond-2/jobs/5NPlb6V-founding-mechanical-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$100K - $200K", "equity_range": "0.25% - 5.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "CAD Design" ] }, { "id": 95984, "title": "Assembly & Production Technician", "url": "https://www.ycombinator.com/companies/almond-2/jobs/pBOdInA-assembly-production-technician", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$25 - $40 / hourly", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102952, "title": "Founding Software Engineer", "url": "https://www.ycombinator.com/companies/almond-2/jobs/HiQT2fV-founding-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$130K - $200K", "equity_range": "0.50% - 3.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python" ] } ], "news": [], "launches": [ { "id": 102875, "title": "Axol - A dual-arm robot built for AI.", "tagline": "Axol is the robot for the teams turning physical AI into reality. ", "body": "Today, we’re launching **Axol**, a dual-arm robot built for real-world tasks.\n\n\n\nWe spent the last year deploying robots in factories and grocery stores.\n\nAnd they kept breaking.\n\nData collection was just too difficult. Reach and payload were limited. Singularities reduced our workspace. Cables failed but support was slow.\n\nThe robots we tried were built for demos, not real tasks.\n\nSo we built our own.\n\n![uploaded image](/media/?type=post&id=102875&key=user_uploads/33058/8029ac83-f0a9-4809-8bf9-f13c97c24bc6)\n\nAxol is for builders who believe robots should work, in the real world, not just staged environments.\n\nAxol’s Specs:\n\n* Extra-long 860mm reach & 4kg sustained payload\n* Joints exceeding human range of motion with fewer singularities\n* Protected cabling and robust hardware\n* Open-source SDK + data collection that works out of the box\n\nOur factory is in San Francisco so we can support teams directly and be there when it matters.\n\n**Available now.**\n\n* Axol — standalone robot\n* Axol Kit — robot + cameras + compute (start training day 0)\n\nFirst orders deliver this week.\n\nIf you're working on manipulation or physical AI, Axol is for you.", "url": "https://www.ycombinator.com/launches/QlH-axol-a-dual-arm-robot-built-for-ai", "votes": 20, "created_at": "2026-06-10T16:30:47.683Z" } ] }, { "id": 30465, "name": "Photonium", "slug": "photonium", "former_names": [ "PhotonIQ" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f9f89a3e11065395408b656b79f12f0fd9868a1.png", "website": "https://www.photoniumoptics.com/", "all_locations": "New York City, NY, USA", "long_description": "Photonium is building software to automate optical system design. We supercharge optics experts with intelligent tooling to reduce costs and deliver faster. We handle the full design stack — from optimization, verification, sourcing, to prototyping — for AR/VR, quantum, biotech, metrology/chip fab, LiDAR, and more. ", "one_liner": "AI-Powered Optical Consulting & Software", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1748388578, "tags": [ "Hard Tech", "Hardware", "Machine Learning", "B2B", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/photonium", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/photonium.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://linkedin.com/company/photonium-optics/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f9f89a3e11065395408b656b79f12f0fd9868a1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2467765, "full_name": "Jennifer Song", "title": "Founder/CEO", "founder_bio": "Co-founder of Photonium. Quantum Computing at Harvard/Stanford/QuEra", "is_active": true, "linkedin_url": "https://linkedin.com/in/jennifer-y-song", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/727e50b2591f66ca240e53da3afda54e3a081413.jpg" }, { "user_id": 1865732, "full_name": "Adam Mhatre", "title": "Founder/CTO", "founder_bio": "Co-founder of Photonium. Computational Physics at Stanford", "is_active": true, "linkedin_url": "https://linkedin.com/in/adam-mhatre-5b8aaa230", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d9986f5f0661a450e5b754ef2c49dce90970e9db.jpg" } ], "jobs": [ { "id": 79020, "title": "Founding ML Engineer", "url": "https://www.ycombinator.com/companies/photonium/jobs/JEOfTqj-founding-ml-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $200K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Machine learning" ] } ], "news": [], "launches": [ { "id": 90808, "title": "Photonium: AI-Accelerated Optical Design Automation ⚛️", "tagline": "Design optical systems faster and cheaper.", "body": "Hey YC!\n\nWe’re [Jennifer](https://www.linkedin.com/in/jennifer-y-song) and [Adam](https://www.linkedin.com/in/adam-mhatre-5b8aaa230/) - cofounders of Photonium.\n\n**TL;DR**\n\nPhotonium automates optical system design with AI, replacing costly manual iteration with end-to-end system optimization.\n\n**🚨 The Problem**\n\nOptical systems are mission-critical across many high-growth sectors — including quantum technology, biomedical imaging, LiDAR for defense and autonomous vehicles, and metrology for semiconductor fabrication.\n\nBut designing them is a nightmare:\n\n* Companies pour millions into teams of 20+ optical engineers\n* Projects take months or years to go from R&D to production\n* Tools are fragmented and outdated\n* Optimization is manual and often based on trial-and-error\n\nEngineers spend countless hours on repetitive workflows — constrained by tools that haven’t changed in decades.\n\n**⚙️ Our Solution**\n\nPhotonium is building the electronic design automation (semiconductor EDA) for optics. We work with complex optical setups across industries and handle the entire design process — from system generation and optimization to simulation, tolerancing, and sourcing.\n\nPhotonium enables companies to:\n\n* Generate and optimize designs from product specs\n* Predict tolerance impacts without slow simulations\n* Recommend data-driven alignment and manufacturing tweaks\n* Optimize for cost, size, and performance trade-offs\n* Seamlessly integrate with existing CAD workflows and optics simulation tools\n* Automate the full design-to-sourcing pipeline\n\n[Launch Video](https://youtu.be/YvX3Xr2_Gt8)\n\n**🚀 The Team**\n\nJennifer studied physics, math, and CS at Harvard and built quantum optics experiments across Harvard, Stanford, and QuEra (a Google-backed quantum computing startup).\n\nAdam studied computational physics at Stanford, and worked on plasma simulation for fusion and large-scale astrophysical modeling of black holes.\n\nWe’ve both felt the pain of inefficient engineering design firsthand — and built Photonium to fix it.\n\n⚛️ **Why This Matters**\n\nOptical systems are foundational to cutting-edge technologies, from quantum computing to semiconductor fabrication. Yet, outdated tools and fragmented workflows slow innovation and inflate costs. We hope to eliminate these bottlenecks and accelerate innovation across industries.\n\n📣 **Our Ask**\n\nIf you know anyone working with lasers and optics in any context, we’d love to chat! Contact us at [founders@photonium.ai](mailto:founders@photonium.ai)\n\n![uploaded image](/media/?type=post&id=90808&key=user_uploads/2467765/c27811f3-aa01-4860-9682-d3136973df3e)\n\n", "url": "https://www.ycombinator.com/launches/Nce-photonium-ai-accelerated-optical-design-automation", "votes": 51, "created_at": "2025-05-28T19:10:45.827Z" } ] }, { "id": 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": 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": 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": 30559, "name": "Godela", "slug": "godela", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe1589548b774d33ca4f20c5020467a9627f9c13.png", "website": "http://godela.ai", "all_locations": "San Francisco, CA, USA", "long_description": "What if every experiment you wanted to run could be modeled using AI? \r\nGodela is an AI-powered physics engine that gives engineers faster, cheaper replacement to simulations and physical prototypes.\r\nNo set up, no wait. Just ask—and get simulation quality result.\r\n", "one_liner": "AI Physics Engine to replace simulations and prototypes", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1747413596, "tags": [ "Hard Tech", "Hardware", "Aerospace", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Engineers and scientists rely on simulations and physical testing to understand how the world works. Today, those tools are slow, expensive, and fragmented. \r\n\r\nRunning a single simulation can take hours to days. Building physical prototypes takes weeks to months. Every domain—from fluid dynamics to thermal modeling—requires different solvers, different experts, and perfect setups. This creates massive bottlenecks in innovation. We’re building AI that turns engineering questions into instant, physics-based models. No solvers. No bottlenecks." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "The next wave of breakthroughs will come from AI that deeply understands physics, not just text.\r\n\r\nWe’re building Godela to give humanity the power to instantly model, explore, and invent across the physical world. Imagine being able to instantly test any idea, uncover hidden relationships, and accelerate discovery at the speed of thought." } ], "url": "https://www.ycombinator.com/companies/godela", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/godela.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/godela-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe1589548b774d33ca4f20c5020467a9627f9c13.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": 1725296, "full_name": "Cinnamon Sipper", "title": "Founder/CEO", "founder_bio": "Built laptops and iPads at Apple. Built AI products for Google. Now building Godela—AI that models the physical world, for engineers and scientists everywhere.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cinnamonsipper", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/570e39102fe604a6a07c24ff01576933926b0869.jpg" }, { "user_id": 2549090, "full_name": "Abhijit Pranav Pamarty", "title": "Founder/CTO", "founder_bio": "Researched physics-driven optimization at Harvard and generative models for fluid mechanics at Stanford. Built surrogate models for semiconductor manufacturing at Intel. Now building Godela - giving engineers and scientists their own AI model for physics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abhijit-pranav-pamarty-6b2453152/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5d4db953f29142244b996d150241a0b4753b00b9.jpg" } ], "jobs": [ { "id": 82147, "title": "Founding Engineer (ML Systems) – Godela", "url": "https://www.ycombinator.com/companies/godela/jobs/6MlUqiS-founding-engineer-ml-systems-godela", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$120K - $180K", "equity_range": "0.10% - 1.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "ML", "Python", "CUDA" ] }, { "id": 82354, "title": "Founding Simulation Engineer – Godela", "url": "https://www.ycombinator.com/companies/godela/jobs/vWajfU5-founding-simulation-engineer-godela", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$120K - $180K", "equity_range": "0.08% - 1.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 82749, "title": "Founding Engineer (SWE) – Godela", "url": "https://www.ycombinator.com/companies/godela/jobs/rKMZtYt-founding-engineer-swe-godela", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $180K", "equity_range": "0.10% - 1.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "ML" ] } ], "news": [ { "title": "Three Big Projects That Win The AI Prize In Silicon Valley", "url": "https://www.forbes.com/sites/johnwerner/2025/09/19/three-big-projects-that-win-the-ai-prize-in-silicon-valley/", "date": "Sep 25, 2025" } ], "launches": [ { "id": 90799, "title": "Godela: AI Powered Physics Engine for Engineers", "tagline": "Bringing AI powered intelligence to the physical world", "body": "**AI powered physics is the next frontier**\n\n**TL;DR:** Godela is an AI-powered physics engine that gives engineers faster, cheaper, simulation-quality answers to even the most complicated engineering problems.\n\nHi YC—we’re @Cinnamon Sipper and @Abhijit Pamarty, former engineers at Apple, Google, and Intel, now turning our Stanford research into the future of engineering.\n\nhttps://youtu.be/I5E1Zi9cpM4\n\n**The Problem: Engineering Discovery is Too Slow.** Every groundbreaking innovation—from fusion reactors to life-saving drugs—hinges on understanding how the physical world works. Yet, engineers spend agonizing weeks, even months, wrestling with complex simulations, preprocessing data, and manually tuning parameters just to answer _one_ question. Many critical questions go unasked because the effort is too great.\n\n![uploaded image](/media/?type=post&id=90799&key=user_uploads/1725296/03894dba-703c-4a25-a00b-b1ba24b27392)\n\n**Our Vision: Ask About the Physical World as Easily as You Use Language.** Imagine a world where understanding the implications of a new design, material, or physical scenario is as instant as a search query. That’s the future Godela is building.\n\n![uploaded image](/media/?type=post&id=90799&key=user_uploads/1725296/b7ae00e6-d8ea-4354-a110-233a65568e0f)\n\n**Introducing Godela: Your AI Copilot for Engineering.** Godela is an AI-native platform that transforms your engineering questions into computable, physics-informed models—instantly.\n\n* **Ask Anything:** Pose complex questions in natural language or with your existing data.\n* **Upload Your World:** Integrate CAD files, experimental results, or existing simulation data.\n* **Get Instant Insights:** Receive actionable, simulation-quality models you can explore, refine, and iterate on immediately.\n\nInstead of replacing simulations, Godela becomes their intelligent, adaptive home—blending diverse data sources with AI to provide insights that were previously out of reach or would take weeks to uncover.\n\n**Why We’re Building This:** As engineers who’ve designed everything from chips and laptops to particle accelerators, we’ve lived the frustration of slow design-simulation loops. Inspired by how AI revolutionized access to information (like ChatGPT for language), we believe it’s time for the same leap in understanding the physical world.\n\n![uploaded image](/media/?type=post&id=90799&key=user_uploads/1725296/308937e8-b076-46b9-a432-39585f6ea464)\n\n**Partner with Us:** We're looking for forward-thinking engineering teams eager to break free from traditional simulation constraints. If you know engineers battling simulation bottlenecks, send them our way!\n\nIf you want to accelerate your design cycles and unlock new levels of understanding:\n\n🌐 Visit: [www.godela.ai](http://www.godela.ai) \n\n✉️ Email us: [founders@godela.ai](mailto:founders@godela.ai) \n\n🗣️ Talk to us: https://calendly.com/cinnamon-sipper", "url": "https://www.ycombinator.com/launches/NcV-godela-ai-powered-physics-engine-for-engineers", "votes": 129, "created_at": "2025-05-28T13:50:39.357Z" } ] }, { "id": 30691, "name": "Embedder", "slug": "embedder", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/be01ab7ec03dfffcf2a6f87ab306a19bf22fe64b.png", "website": "https://www.embedder.com", "all_locations": "San Francisco, CA, USA", "long_description": "Building AI agents for autonomous embedded software development.", "one_liner": "Hardware-Aware AI for Embedded Software", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1752258104, "tags": [ "Developer Tools", "Hardware", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/embedder", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/embedder.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/embedder-dev", "x_url": "https://x.com/embedder_dev", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/embedder", "github_url": "https://github.com/orgs/embedder-dev/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/be01ab7ec03dfffcf2a6f87ab306a19bf22fe64b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0f5a3be90afe89e97a8c03fe15cd89f917662d8f.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2361352, "full_name": "Ethan Gibbs", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at Embedder. Michigan Alumni.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/etgibbs/", "x_url": "https://x.com/ethanmgibbs", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/12f2ac64d5f7a88a8b775efe95a4d3c12aa02c9a.jpg" }, { "user_id": 2605399, "full_name": "Bob Wei", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO at Embedder (YC S25). Michigan Dropout.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jiachew", "x_url": "https://x.com/imbobwei", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/02df2fbdb439556348f086dd8f38d6d25f5fd6c0.jpg" } ], "jobs": [], "news": [ { "title": "Embedder and SEGGER Partner to bring Autonomous Firmware Development Closer to Reality", "url": "https://embedder.com/news/embedder-and-segger-partner-to-bring-autonomous-firmware-development-closer-to-reality", "date": "Sep 10, 2026" }, { "title": "Embedder Joins the Zephyr Project", "url": "https://embedder.com/news/embedder-joins-the-zephyr-project", "date": "Sep 09, 2026" }, { "title": "Embedder and Joulescope Partner to Close the Loop on Firmware Power Optimization", "url": "https://embedder.com/news/embedder-and-joulescope-partner-to-close-the-loop-on-firmware-power-optimization", "date": "Jul 22, 2026" }, { "title": "Embedder and Verkor Partner to Take Agentic AI From Chip Design to Working Firmware", "url": "https://embedder.com/news/embedder-and-verkor-partner-to-take-agentic-ai-from-chip-design-to-working-firmware", "date": "Jul 14, 2026" }, { "title": "\n\tStart-Up Profile: Embedder\n", "url": "https://www.epdtonthenet.net/article/222023/Start-Up-Profile--Embedder.aspx", "date": "May 15, 2026" } ], "launches": [] }, { "id": 30697, "name": "Normal", "slug": "normal", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6cbae55e86532c01c20d7392309f9280f190548.png", "website": "https://www.normal.ai", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Applied research lab for hardware design", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1754954871, "tags": [ "Hardware", "Manufacturing", "AI", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/normal", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/normal.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/normal-factory/", "x_url": "https://x.com/normalfactoryco", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6cbae55e86532c01c20d7392309f9280f190548.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 924433, "full_name": "Anson Yu", "title": "Founder/President", "founder_bio": "Co-founder of Normal. Prev Engineering at Waterloo, Notion, and Fuse. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anson-yu-231336141/", "x_url": "https://x.com/ansonyuu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/111def3366aa26f16637d3474604f94b8c41e0fb.jpg" }, { "user_id": 988784, "full_name": "Hudhayfa Nazoordeen", "title": "Founder", "founder_bio": "Co-founder of Normal. Previously worked at Cohere and Xanadu", "is_active": true, "linkedin_url": "https://linkedin.com/in/hudzah", "x_url": "https://x.com/hud_zah", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3be7710c51837de29c856181076199ec36dd552f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93193, "title": "Normal - Vanta for Hardware", "tagline": "Automated hardware testing & compliance, saving 50x the time", "body": "LLMs have made building hardware easier, proving it's safe to sell is still hard. We automate hardware certification: from drones to robots. Cutting compliance hours for teams 50x.\n\n[normalfactory.com](https://www.normalfactory.com/?utm_source=yc)\n\nhttps://youtu.be/51bFkdSyNvA\n\n**The Problem:**\n\n* **Certification are critical, non-core work** - Teams (often the Chief Engineers) spend days parsing standards\n* **It’s not clear what you actually need** - Compliance can be opaque, often requiring expensive consultants to decipher\n* **Labs take long to book** - Third party labs can be unresponsive without insider connections\n* **You can’t sell without them** - Not having the right certifications is gating \n\n![uploaded image](/media/?type=post&id=93193&key=user_uploads/924433/aec806d9-2cec-478e-ba2b-439ce1457d93)\n\n**What We’re Building:**\n\n* **Certification roadmap to sell:** Clear, market‑specific path (what to test, in what order, and why)\n* **Automated lab bookings & logistics:** We handle scheduling, sample coordination, and paperwork end‑to‑end\n* **Live test tracking:** Visibility into progress, blockers, and results\n* **Technical file generation:** Auto‑assembled technical files and audit packs ready for submission\n\n![uploaded image](/media/?type=post&id=93193&key=user_uploads/924433/3465b07b-7851-4f77-a0d8-52a840973ea9)\n\n**Who We Are**\n\nEngineers of both software and hardware! We’re Waterloo grads, previously working at AI labs, published in Nature for pulsed power research, and going extremely viral on the internet.\n\n**OUR ASK: Do you know of any hardware teams looking to spend less time on compliance? Please connect us!**\n\nWe’ve helped teams go from 0 to fully certified in weeks. We are now serving hardware teams for FCC / CE / UL / ASTM at [normalfactory.com](https://normalfactory.com?utm_source=yc) or [founders@normalfactory.com](https://mailto:founders@normalfactory.com)!", "url": "https://www.ycombinator.com/launches/OF7-normal-vanta-for-hardware", "votes": 29, "created_at": "2025-08-20T17:07:25.899Z" } ] }, { "id": 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": 30744, "name": "SigmanticAI", "slug": "sigmanticai", "former_names": [ "BitForge (in process of incorporating as SigmanticAI Inc due to trademark)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/551c81e2cf1198e6431c7a170e74ee43deff6f61.png", "website": "https://www.sigmanticai.com", "all_locations": "San Francisco, CA, USA", "long_description": "SigmanticAI is building an AI-native hardware development assistant that automates the entire RTL design flow, from natural language to synthesizable HDL and testbenches, inside a seamless VSCode fork. Powered by fine-tuned Verilog LLMs, reinforcement learning, and real compiler feedback, SigmanticAI iteratively refines code until it compiles and passes synthesis, no matter how complex the design. It’s like the Cursor for HDL design. \r\n\r\nIn addition to code generation, SigmanticAI can generate token-level annotations and onboarding documents to accelerate ramp-up for new engineers. With support for both cloud and on-prem deployment, it integrates with existing EDA tools to dramatically reduce debug time, improve collaboration, and accelerate hardware design across teams", "one_liner": "The Cursor for Chip Design - Delivering Silicon-Ready Chip Designs…", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1752688016, "tags": [ "Hard Tech", "Hardware", "B2B", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sigmanticai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/sigmanticai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sigmanticai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/551c81e2cf1198e6431c7a170e74ee43deff6f61.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c9b026b6fd12edf22493d5be3a803d35dec493c9.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1546753, "full_name": "Rohil Khare", "title": "Founder", "founder_bio": "I’m Rohil Khare, Co-Founder of SigmanticAI. I studied EECS at UC Berkeley and previously worked at Amazon. In high school, I filed provisional patents in IoT as an early innovator, and since then I’ve worked at multiple startups at the intersection of hardware and machine learning. At Berkeley, I conducted research at BAIR and the Architecture Group, and published at ICRA. Now, at SigmanticAI, I’m building AI-native tooling that accelerates the creation of custom chip designs and silicon.\n\n\n\n\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rohil-khare/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0a747020d8797a7663560faf0d3ee7f8f8a38a67.jpg" }, { "user_id": 2407642, "full_name": "Tamzid Razzaque", "title": "Founder", "founder_bio": "I'm Tamzid Razzaque, Co-Founder of SigmanticAI. I studied EECS at UC Berkeley, with a focus on integrating AI applications with custom hardware design. I am continuing this passion at YC. I previously worked at Apple on custom circuits and researched at BWRC and BETR on custom FPGA accelerators.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tamzid-razzaque/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cdb0ba93640f4645566485e8ec147cbe34380085.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92212, "title": "SigmanticAI - The Cursor for Hardware Design", "tagline": "Suite of AI Agents and Tools to Accelerate HDL (Hardware Description Language) Design", "body": "Hey YC! We're Tamzid and Rohil from [SigmanticAI](https://www.sigmanticai.com/).\n\n**The Problem with Creating Custom Hardware**\n\n* HDL tooling hasn’t changed much since the '90s: still slow, manual, and fragmented\n* Debugging eats up majority of hardware dev time\n* There's no seamless AI-native experience for building and reasoning about HDL\n\n---\n\n**Our Solution**\n\n_SigmanticAI_. What it can do:\n\n* **Natural language to synthesizable Verilog + testbenches**\n* **RL-driven debugging** loop\n* Built-in **onboarding**, codebase **annotation**, and **spec** documentation **generation**\n* LLM-powered on both **cloud** and **fully air-gapped/on-prem** deployments\n* **Seameless** integration with **VScode** + your **existing synthesis tools** from Cadence, Synopsys, etc.\n\nWe’ve already made a RISCV CPU start to finish with it, onboarded our first paying customer, and are getting 90%+ accuracy on the VerilogEval benchmark (NVIDIA framework)\n\n---\n\n**Demo video\\\n[https://youtu.be/Cq3hpMflIA8](https://youtu.be/Cq3hpMflIA8)**\n\n---\n\n**Asks!**\n\n* We want to talk to:\n * Anyone **working** **with** **FPGAs, custom chips, ML accelerators, or RISC-V** cores\n * Anyone **working in EDA** \n * Anyone **working with fine tuned LLMs for hardware**\n* **Try us out! Thank you!**\n * [https://www.sigmanticai.com](https://www.sigmanticai.com%EF%BF%BC%EF%BF%BC)\n\n**Who We Are**\n\nWe’ve spent years working on both LLMs and hardware. After working at Apple (Tamzid) and Amazon (Rohil) and research in FPGA mapping and LLaMA fine-tuning, we realized the real bottleneck in hardware design is tooling. We’ve built custom CPUs, worked with EDA stacks, and experienced the pain firsthand. Conversations with engineers at Northrop Grumman, SciEngines, and Quadric made it clear: hardware desperately needs a smarter workflow.\n\n![uploaded image](/media/?type=post&id=92212&key=user_uploads/2407642/74a5aa7d-62e0-47f9-9e95-9bc55e7c49f1)\n\n![uploaded image](/media/?type=post&id=92212&key=user_uploads/2407642/85c5143a-36c1-43aa-84ed-eebdfd014498)\n\n", "url": "https://www.ycombinator.com/launches/NzI-sigmanticai-the-cursor-for-hardware-design", "votes": 50, "created_at": "2025-07-16T19:05:10.461Z" } ] }, { "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": 30813, "name": "Blue", "slug": "blue", "former_names": [ "L5 Assistant" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90acd1189896151e269eca2dc0a6b15c7042d091.png", "website": "https://heyblue.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Everyone pays someone to handle the parts of their life that don't need them personally. The cleaner, the bookkeeper, the lawn service. Nobody could handle what lives in your phone. Until Blue.\r\n\r\nBlue is a small USB-C dongle and iPhone app. Plug it in and say what needs doing. The follow-up you haven't sent, the appointment you haven't booked, the reply you owe. Blue opens the right app, does the work, and tells you when it's done. You don't touch your phone.\r\n\r\nWorks with every app already on your iPhone. \r\n\r\nThe team brings complementary experience at scale: Omar Abdelaziz led Google Assistant’s transition to LLMs and holds one of earliest patents in LLM-based computer control; Peter Krogh spent decades designing voice-first dialog systems and was most recently a design lead at Google DeepMind building actions for Gemini Live; Muhammad Farhan Hossain helped ship Apple Vision Pro, is named on dozens of hardware/systems patents, and has led products from prototype to mass production.\r\n\r\nWe’ve built systems used by billions. Now we’re on to defining the next era of computing.", "one_liner": "Your phone finally has someone to run it. Plug in Blue, just ask.", "team_size": 6, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1753836546, "tags": [ "Hardware", "Productivity", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "Consumer" ], "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/blue", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/blue.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/heyblue/", "x_url": "https://x.com/heyBlueX", "fb_url": "https://www.instagram.com/heyblueig/", "cb_url": "https://www.crunchbase.com/organization/blue-13c9", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/90acd1189896151e269eca2dc0a6b15c7042d091.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": 2231380, "full_name": "Omar Abdelaziz", "title": "Founder/CEO", "founder_bio": "I've spent more than a half-decade leading teams on Google Assistant and at Scale AI, and hold one of the world's first patents in LLM-based computer-use. Now, I'm on to defining the next era of computing, starting with a 100x more powerful voice assistant.", "is_active": true, "linkedin_url": "https://linkedin.com/in/oabdelaziz/", "x_url": "https://x.com/OmarAbcXyz123", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dec14a7870f1081a9bf3e37cc29311061cf43e43.jpg" }, { "user_id": 2770643, "full_name": "Farhan Hossain", "title": "Founder", "founder_bio": "I’m a robotics and product design engineer focused on building thoughtful tools for the world. I hold dozens of patents in hardware and manufacturing, and I care deeply about how things are made and who they’re made for. \n\nFor over a decade, I’ve worked across robotics, wearables, and consumer electronics. As one of the first engineers on the Apple Vision Pro, I took it from concept to mass production. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mfarhanh/", "x_url": "https://x.com/FarhanBuilds", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c525b0262175e9cb88fc041b3b577f2ac2b512be.jpg" }, { "user_id": 2742423, "full_name": "Peter Krogh", "title": "Founder", "founder_bio": "I teach computers how to talk. For 20 years this was primarily a deterministic process of design/engineer/tune, but with the arrival of LLMs it now looks more like show/convince/tune. AI is weird, but if it can't be taught how to have a normal spoken conversation with a person, it's not going to work. This is what I work on.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/peter-krogh-820273/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bf18431e96d89027c5cd3c1ccff73e86d54d5be9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101303, "title": "Introducing the Blue Smart Dictation Keyboard for iPhone", "tagline": "4x faster when you can speak, normal keyboard when you can't", "body": "Blue's dictation is unlike anything you've ever tried before. Instead of transcribing what you say, we give ChatGPT the audio and we ask it: \"Based on what this person said, what do you think they would have typed if they had a chance to review and edit?\"\n\nThat means you can think out loud, repeat yourself, change your mind mid-sentence, and Blue still hands you something that’s ready to send. Check it out: \n\nSo what happens when dictation finally becomes reliable? Not just better dictation for the 1% of the time your hands are tied up and you have to dictate. You start _defaulting_ to dictation every single time you have to type, and you end up saving a ton of time!\n\nGet it right now: heyblue.com/download", "url": "https://www.ycombinator.com/launches/QLv-introducing-the-blue-smart-dictation-keyboard-for-iphone", "votes": 7, "created_at": "2026-05-13T21:02:17.121Z" }, { "id": 93147, "title": "Blue: The voice assistant your phone has been missing.", "tagline": "Blue uses your apps to finish tasks, hands-free and on the go. ", "body": "[heyblue.com](http://heyblue.com)\n\n**TL;DR**\\\nBlue is the only voice assistant on iOS and Android that can control every app on your phone, so you can get work done hands-free.\n\nWhen you’re driving, you can say things like “Catch me up on Slack,” “Pay the power bill from my email,” “Help me order DoorDash”, and anything else you could ask someone in your passenger seat, and Blue will help you do it hands-free.\n\nAt launch, Blue focuses on communications journeys: messages and email across apps.\n\n## **Why We Built Blue**\n\nOur phone assistants peaked at setting timers and checking the weather, but we’ve got a mountain of messages and emails to work through. We built Blue because we actually want to be productive on the way to work – and for the 70% of Americans commuting just like us.\n\n## **How Blue Works**\n\nBlue enables full, hands-free phone control via a voice-first computer-use model. On iPhone, our tiny USB-C plug-in gives Blue the ability to tap and type on your behalf. \n\nBlue doesn't wait for developers to build special integrations. It just uses your apps, all of them, hands-free, so you can tackle your todo list when your hands are busy doing literally anything else.\n\n**See it in action:**\n\nhttps://youtu.be/PJV27Nd9eiI\n\n**Team**\n\n* **Omar Abdelaziz**: Led Google Assistant’s transition to LLMs; holds one of the earliest patents in LLM-based computer control.\n* **Peter Krogh**: Decades designing voice-first dialog systems; multiple design patents; most recently design lead at Google DeepMind serving actions on Gemini Live.\n* **Farhan Hossain**: Helped ship Apple Vision Pro; 50+ patents in hardware/systems; led products from prototyping to mass production and global fulfillment.\n\nWe’ve built systems used by billions. Now we’re on to defining the next era of computing.\n\n## **Ask**\n\n* **Try Blue:** Request early access at [heyblue.com](http://heyblue.com)\n* **Reach out**: [founders@heyblue.com](mailto:founders@heyblue.com)\n\n![uploaded image](/media/?type=post&id=93147&key=user_uploads/2770643/31255b69-1672-4404-83d4-0db5869d0b5f)\n\n", "url": "https://www.ycombinator.com/launches/OEN-blue-the-voice-assistant-your-phone-has-been-missing", "votes": 25, "created_at": "2025-08-19T21:45:01.737Z" } ] }, { "id": 30849, "name": "MOVEdot", "slug": "movedot", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff366b5cf4ba792d472cf1af716e033566ff24ff.png", "website": "https://www.movedot.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Our agents run hardware engineering tasks that normally take hours or days in just a few minutes, allowing engineers to process 100x more data and information. Our platform allows hardware engineers to orchestrate agents for tasks such as analyzing failures across entire test campaigns, pulling the right data and KPIs from their databases, checking how conditions (like temperature or load) affect performance and reliability, and then document findings in reports and dashboards.", "one_liner": "AI Agents for Hardware Engineering", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1759431340, "tags": [ "Hardware", "Manufacturing", "AI", "Automotive", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/movedot", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/movedot.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/move-dot-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff366b5cf4ba792d472cf1af716e033566ff24ff.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 845924, "full_name": "Girish Radhakrishnan", "title": "Founder/CEO", "founder_bio": "Building AI agents for hardware test data analysis\nex-Tesla, 10 years of experience in the automotive industry working with my co-founder Bruno Finco", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/girish-radhakrishnan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6d40cfbaae3ffb298752be939eaf3c1da7fd76a8.jpg" }, { "user_id": 1931404, "full_name": "Bruno Finco", "title": "Founder/CTO", "founder_bio": "Building AI agents for sensor data analysis. 10 years in automotive as a lead forward-deployed engineer, working with my cofounder Girish.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bruno-finco-610999b6/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/014be131eb6fc4cfee8218b1bba16a5e5609c13d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95237, "title": "MOVEdot: AI Agents for Hardware Engineering", "tagline": "Cursor for Engineering Analysis - From Race Cars to Factory Floors", "body": "Hey everyone, we’re [**Bruno**](https://www.linkedin.com/in/bruno-finco-610999b6/) and [**Girish**](https://www.linkedin.com/in/girish-radhakrishnan/), founders of [**MOVEdot**](https://www.movedot.ai/).\n\n# TL;DR\n\n* When developing any sort of hardware, engineers are the bottleneck due to data/information overload, creating huge inefficiencies and waste\n* We built a Cursor-like interface that allows humans and AI agents to work together on multi-modal data, achieving 10-100x efficiency\n* We started with race cars and are now expanding to other industries\n* [**Book a demo**](https://www.movedot.ai/) or email us ([founders@movedot.com](mailto:founders@movedot.com))\n\nhttps://youtu.be/tA-4cdiJ5tI\n\n# ❌ The Problem\n\nEvery engineer says the same thing:\n\n> “Too much data, not enough time.”\n\nData collection has grown 10x, but the **same human brain** still has to make sense of it. Engineers spend days digging through spreadsheets and KPIs to find what failed. Or more realistically, they give up, leaving most data unused.\n\n# ⚙️ The Solution\n\nWe built **MOVEdot**, an AI agent platform that allows you to use 10x more data to make decisions. It connects to data, video, and test standards, automating reports or answering questions like:\n\n> _When did temperature spikes cause mechanical failures, and what were early signs?_\n\nAgents process the data and produce interactive dashboards and mind maps.\n\n![uploaded image](/media/?type=post&id=95237&key=user_uploads/1931404/3f0d742e-35f8-4d25-8c7a-ccd153474570)\n\n# 🌍 The Vision\n\nPhysical-world testing is a **$250B market** across development, durability, and validation. Our goal: give every engineering team **thousands of AI teammates** that helps them use **100%** of their data, increasing performance and shortening time to market. From racing to robotics. From proving grounds to production lines.\n\n# 🏎️ Race Cars - Why We Started Here\n\nWe began in motorsports: time-sensitive environment with short sales cycles. Closed our first 30k deal within 2 weeks of the POC. Well, we were also race car engineers…\n\n![uploaded image](/media/?type=post&id=95237&key=user_uploads/1931404/590dddb8-083c-4492-a213-a4695df7a028)\n\nSince then, we’ve onboarded dozens of racing teams and have expanded into manufacturing, with a POC at [**Tractian**](https://tractian.com/en) (YC W21).\n\n# 👥The Team\n\n[**Bruno**](https://www.linkedin.com/in/bruno-finco-610999b6/) and [**Girish**](https://www.linkedin.com/in/girish-radhakrishnan/) worked together for 8 years as forward-deployed engineers in an automotive consulting firm, where we realized we were the bottleneck. Girish also had a stint at Tesla, seeing the same challenges.\n\n![uploaded image](/media/?type=post&id=95237&key=user_uploads/1931404/d3d6577b-ae0c-4715-803e-1ad78a09d2a6)\n\n# 🔥 Our Ask\n\n* Are you an engineer working with a ton of data? [**Book a demo!**](https://www.movedot.ai/)\n* Know someone who is? Share this post!\n\nContact us at [founders@movedot.com](mailto:founders@movedot.com)", "url": "https://www.ycombinator.com/launches/Om5-movedot-ai-agents-for-hardware-engineering", "votes": 14, "created_at": "2025-11-06T04:35:39.416Z" } ] }, { "id": 30868, "name": "Norra", "slug": "norra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e02b3e396920957fb568e6c31817205cde3dbd2a.png", "website": "https://www.norra.io", "all_locations": "New York City, NY, USA", "long_description": "Norra tackles the operational chaos inside skilled nursing facilities, starting with equipment. We track every bed, wheelchair, and oxygen concentrator a facility owns, and use AI to tell operators what they have, where it is, and where money is leaking.", "one_liner": "The AI equipment manager for post-acute care", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1761871626, "tags": [ "Hardware", "Health Tech", "Logistics", "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/norra", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/norra.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/norra-io/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e02b3e396920957fb568e6c31817205cde3dbd2a.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": 2732719, "full_name": "Ben Rubin", "title": "Founder/CEO", "founder_bio": "Building Norra to make skilled nursing facilities run better. Before that, AR interfaces for astronauts on the Artemis Moon missions and ML for brain-computer interfaces at Rice.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/benjamin--rubin/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/44e96d875713542c707f98894ac42cd84fbc9910.jpg" }, { "user_id": 2951870, "full_name": "Yining Zhang", "title": "Founder/CTO", "founder_bio": "Norra", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yining-z/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d8d0d4daf95c89c4c64c5f209f3a6b35dbc1923c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95331, "title": "Norra: The AI Equipment Operations Platform for Nursing Facilites", "tagline": "Turning operational chaos into actionable intelligence", "body": "Hey everyone! This is [Ben](https://www.linkedin.com/in/benjamin--rubin/) and [Yining](https://www.linkedin.com/in/yining-z/) from [Norra](https://www.linkedin.com/company/norra-io/), the AI equipment operations platform for nursing facilities.\n\nTL;DR: Norra uses AI and real-time tracking to give nursing facilities operational intelligence they've never had.\n\n🚨**The problem:**\n\nNursing facilities are facing an existential crisis. With the aging population, demand is surging but they can't keep up. Medicare cuts coupled with inefficient operations mean that over 50% of facilities lose money and are struggling to keep their doors open, all while facing a massive impending staff shortage.\n\nFacilities run blindly with zero operational intelligence. They’re scrambling to manage equipment lifecycles, discovering things are broken too late (leading to failed audits), and over-purchasing because they don’t know what they have. This operational chaos costs each facility over $100K and 1,000 hours of staff time per year, time that could be spent caring for patients.\n\n💡**The solution:**\n\n\n\nWith custom hardwares, Norra creates a digital twin of their entire facility, giving staff complete visibility into everything happening on the ground. With all of this data, we are able to use AI to transform the operational chaos into proactive decision making. Instead of reacting to equipment going into disrepair or overpurchasing equipment due to lack of visibility, staff now get actionable insights to prevent waste before it happens.\n\nWhat it actually means: Preventative maintenance reminders and tracking, Intelligent and automated purchasing workflows, Insights to improve utilization and cut costs\n\n**⚡Impact:** \\\n\\\nWe've cut our first facilities' rental spend by 70% and projected to save them $100K+ this year.\n\n**👥 About Us:**\n\nBen and Yining met two years ago at NASA building astronaut operation software. They are two roommates turned cofounders passionate about using AI to make a real impact in healthcare. \n\nBen has spent 1000+ hours in hospitals and nursing facilities seeing first hand how broken their operations are.\\\n\\\nYining built applied AI solutions at MD Anderson Cancer Center, experiencing its potential to revolutionize healthcare.\n\n**🤝 Our Ask:**\n\nWe’re looking to connect with healthcare executives interested in modernizing their operations. If you know any, please reach out to [ben@norra.io](mailto:ben@norra.io).\n\n![uploaded image](/media/?type=post&id=95331&key=user_uploads/2732719/6b76a604-4597-47c7-bb1b-2dc3c6c1ee31)\n\n", "url": "https://www.ycombinator.com/launches/Onb-norra-the-ai-equipment-operations-platform-for-nursing-facilites", "votes": 37, "created_at": "2025-11-08T21:49:04.058Z" } ] }, { "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": 30934, "name": "Tornyol", "slug": "tornyol", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/32e3f0b4a6932eaa071b0b63031b269de4048c47.png", "website": "https://tornyol.com/", "all_locations": "Paris, Île-de-France, France", "long_description": "Tornyol builds micro-drones that kill mosquitoes. We use smartphone microphones, car park assist sensors and some clever DSP and control to transform 40-gram toy drones into mosquito killers. Because these drones are so cheap and fast, we will lower the cost of mosquito control by 100x which will enable the eradication of mosquitoes from cities, saving more than a million people each year from Malaria, West Nile, Dengue, etc. ", "one_liner": "We build micro-drones that kill mosquitoes. ", "team_size": 7, "industry": "Consumer", "subindustry": "Consumer -> Consumer Electronics", "launched_at": 1761986194, "tags": [ "Hardware", "Robotics", "Drones" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Consumer", "Consumer Electronics" ], "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/tornyol", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/tornyol.json", "year_founded": null, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/tornyol/", "x_url": "https://x.com/tornyolsystems", "fb_url": null, "cb_url": null, "github_url": "github.com/mosquitorgnole", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/32e3f0b4a6932eaa071b0b63031b269de4048c47.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": 1250342, "full_name": "Alex Toussaint", "title": "Founder/CEO", "founder_bio": "Built one of the first in-air phased array sonar when I was 18. Worked on aerial guidance and navigation. Now building micro-drones that kill mosquitoes.\n\nhttps://alextoussaint.com\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-toussaint-51a439189/", "x_url": "https://x.com/alextoussss", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3e686ab9fccb273e6202af5ff0020bbd13e1e13f.jpg" }, { "user_id": 2515354, "full_name": "Clovis Piedallu", "title": "Founder/COO", "founder_bio": "French engineer, working on autonomous mosquito-killing micro-drones ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/clovispiedallu/", "x_url": "https://x.com/ClovisPiedallu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dc5e38c6e3ab9641c13073fea9dee85000534f00.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95287, "title": "Tornyol: micro-drones that kill mosquitoes", "tagline": "Enjoy mosquito-free evenings thanks to Tornyol", "body": "TLDR We’re eradicating mosquitoes (700k people killed each year) with micro-drones.\n\nHey YC!\n\n[Clovis Piedallu](https://www.linkedin.com/in/clovispiedallu/) and [Alex Toussaint](https://www.linkedin.com/in/alex-toussaint-51a439189/) are building [Tornyol](https://tornyol.com/), **a micro-drone that kills mosquitoes**. We use smartphone microphones, car park assist sensors and some clever DSP and control to transform 40-gram toy drones into mosquito killers. Because these drones are so cheap and fast, we could lower the cost of mosquito control by 100x to enable the eradication of malaria.\n\nOur upcoming product is a micro-drone + base station that patrols your garden 24/7 and eliminates any mosquito in the zone. After a few days of action, you’ll notice that you can enjoy mosquito-free evenings and dinners. Enjoy a mosquito-free life for just $50/month (if you save your spot **right now for just $100**)!\n\nhttps://www.youtube.com/watch?v=dDa9pFzeJvE\n\n![uploaded image](/media/?type=post&id=95287&key=user_uploads/1250342/2697e87e-51cb-405e-bf8b-e4446880f4cc)\n\n# How it started\n\nAlex has been passionate about ultrasonic sonars for a while, building [one of the first air-gapped ultrasonic phased array sonars.](https://www.alextoussaint.com/2021-04-28_How-I-built-an-ultrasonic-3d-scanner.html) Alex then worked at MBDA Systems, supplier of UK-FR missiles where he did outstanding work in navigation and control. That’s when long-time friend [@Clovis Piedallu](https://bookface.ycombinator.com/user/2515354) and him had the (at first) stupid idea of building mosquito-killing drones. After proving from napkin math that this could lead to mosquito eradication, we got a $28k grant from [Scott Alexander, Vitalik Buterin](https://manifund.org/projects/build-anti-mosqu) and [some big twitter buzz.](https://x.com/alextoussss/status/1778460625196261863) Since, we’ve made enormous strides in the field including the first detection and tracking of a mosquito with an ultrasonic phased array, plus some fancy algorithms which are detailed more [here](https://hackaday.com/2025/03/25/supercon-2024-killing-mosquitoes-with-freaking-drones-and-sonar). We’ve made a lot of progress since in the control department, but can’t share much more without nuking an ongoing patent. The TLDR of that is **we believe we can eradicate mosquitoes from a square kilometer of land with just 10 40-grams drones, slashing the cost of mosquito control by 100x**\n\n# The tech, with a few more details\n\nWe send an ultrasonic pulse using a regular ultrasonic transmitter (the one you can find in the HC-SR04 arduino modules, or on cark park assist sensors) then listen for the echoes using an array of smartphone microphones. This phased array of smartphone microphone allows us to get a directional recording of all echoes in the scene. To classify the echoes, we plot a spectrogram of the echoes as a function of time. Whenever a mosquito beats its wings, the movement produces irregular doppler effect. By measuring that alternating doppler effect, we get a 2D image that’s unique to each mosquito. We then detect the species and sex of the target we have in front of us. Here’s what these signatures look like.\n\n**Wasp (phase, STFT, FFT)**\n\n![uploaded image](/media/?type=post&id=95287&key=user_uploads/1250342/e34717d5-91b3-435f-b7b3-33eacfa00d77)\n\n**Mosquito (phase, STFT, FFT)**\n\n![uploaded image](/media/?type=post&id=95287&key=user_uploads/1250342/21bf0588-a122-48c8-9a62-60426d8e7b94)\n\n![uploaded image](/media/?type=post&id=95287&key=user_uploads/1250342/8bb71855-e1f9-4ea0-922f-06da6690c1c5)\n\nOur phased array sonar (Xilinx XC7A100T and 380 PDM Microphones). We’ve miniaturized it since.\n\nThen, by using some very clever control algorithms, we ram our autonomous tinywhoop into the mosquitoes and away from the walls.\n\n# Our current development status\n\nMost systems are working in isolation, and we’re doing a push to have them all working together. Our miniaturized DSP+Controls processor is currently in the PCB factory, and all algorithms have been tested either on separate benches or in simulation. We’re currently killing mosquitoes in simulation, and are working hard to kill them in the real world.\n\n# Asks\n\nMosquitoes are a terrible problem worldwide **700k people killed each year, 700M catching a mosquito-borne disease and 4 billion people at risk of Dengue**.\n\nWe’re looking for early adopters for who mosquitoes are a big nuisance to proof-test our first drones when they work before we deploy them to areas where failure’s not an option. If that sounds like you, please pre-order and enjoy all the perks (limited edition color, 30% discount) that come from our small $100 refundable reservation.\n\n# CTA\n\n[tornyol.com](http://tornyol.com): $100 refundable deposit to get exclusive, early and discounted acess to our solution.\n\n[founders@tornyol.com](mailto:founders@tornyol.com):\\_for any contacts to big businesses, government entities and NGOs who could be clients.\n\nLooking forward to your questions!\n\n[Clovis Piedallu](https://www.linkedin.com/in/clovispiedallu/) and [Alex Toussaint](https://www.linkedin.com/in/alex-toussaint-51a439189/) for a mosquito-free world.", "url": "https://www.ycombinator.com/launches/Omt-tornyol-micro-drones-that-kill-mosquitoes", "votes": 70, "created_at": "2025-11-07T17:48:40.465Z" } ] }, { "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": 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": 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": 31114, "name": "Piris Labs", "slug": "pirislabs", "former_names": [ "Piris Inc.", "Pirislabs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cfbd3640d376f89f668901f7449636b7f882fdb6.png", "website": "https://pirislabs.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Up to 80% of the most advance AI compute chips sits idle because of slow networking. Piris Labs builds photonic based networking solutions to enable fast, scalable, and low cost AI workload execution infrastructure.", "one_liner": "The Networking Layer of AI", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1770857008, "tags": [ "Hard Tech", "Hardware", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pirislabs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/pirislabs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/110912035", "x_url": "https://x.com/PirisLabs", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/piris-labs", "github_url": "https://github.com/PirisLabs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cfbd3640d376f89f668901f7449636b7f882fdb6.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": 2792621, "full_name": "Ali Khalatpour", "title": "Founder/CEO", "founder_bio": "Founder (YC W26), reimagining AI compute architectures | PhD EE (MIT → NASA → Stanford)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alikhalatpour", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/42b5a5f623f8120937aa26e3d674989a58a1f3f4.jpg" }, { "user_id": 3157622, "full_name": "Keyvan Moghadam", "title": "Founder/President", "founder_bio": "I am an AI technologist with a decade of experience scaling AI/ML products. At Meta and X, I specialized in leading tiger teams to launch high-stakes 0-to-1 initiatives.\n\nNow, I am the Co-Founder of Piris Labs. We are building high-speed photonic interconnects to solve the energy and latency constraints for AI data inference. My current focus is to iterate on our inference service and onboard customers into our platform.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/keyvanrm/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b998bdac71f94c01737efbb8c8777cfb76a14d3a.jpg" } ], "jobs": [ { "id": 93808, "title": "Founding Engineer -- AI Inference Stack ", "url": "https://www.ycombinator.com/companies/pirislabs/jobs/r6mskwZ-founding-engineer-ai-inference-stack", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$100K - $200K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Rust", "TCP/IP", "Design systems", "Transformers" ] } ], "news": [], "launches": [ { "id": 104954, "title": "Piris Labs: We Set the Fastest Reported GLM-5.2 Inference Speed", "tagline": "Fast, scalable AI workload execution infrastructure.", "body": "Piris Labs just achieved the fastest reported inference speed for the new GLM-5.2, outperforming pioneers and veterans in the space.\n\nWe finished the YC batch just a few months ago and believed it was important to maintain that same pace of execution while keeping our technical bar high. So yes, the YC advice is right: keep building.\n\nA lean, highly passionate team with strong execution and the right long-term vision can accomplish in a short period of time what often takes much larger organizations with billions in funding and hundreds of people years to achieve.\n\nWe're well on track to build fast, scalable, and low-cost AI workload execution infrastructure with a deep focus on the data movement layer, where many of the biggest bottlenecks in performance and unit economics exist.\n\nRead the full details here:\n\n\n\nWe welcome independent third-party benchmarking. Feel free to DM us or reach out by email.\n\n#AIInference #MachineLearning #GLM52 #GenAI #AIInfrastructure #TechInnovation\n\n![uploaded image](/media/?type=post&id=104954&key=user_uploads/2792621/98b898a8-99fa-482a-ab7a-d65badc2b3e4)\n\n", "url": "https://www.ycombinator.com/launches/RIo-piris-labs-we-set-the-fastest-reported-glm-5-2-inference-speed", "votes": 5, "created_at": "2026-07-07T22:22:52.996Z" }, { "id": 97751, "title": "Piris Labs: Inference at Light Speed", "tagline": "We deliver low-latency, low-cost AI inference by eliminating the memory wall using full-stack optical interconnects and a purpose-built software stack.", "body": "**The Problem: The Memory Wall Is Breaking the Economics of AI Compute**\n\nAI’s promise is unprecedented, but its economics are broken. Copper-based interconnects cannot keep up with modern models, limiting data movement between and within compute and memory. The result is high latency, inefficient hardware utilization, and unsustainable inference costs—creating a hard ceiling on AI margins.\n\n---\n\n**The Solution: Grow-Style Optimization for the Interconnect**\n\nToday’s data-center compute and networking were not designed for inference. Slow, power-hungry **copper** interconnects, along with costly signal processing and memory overhead, drive high latency and high cost.\n\nHigh-performance inference requires purpose-built hardware and a vertically optimized software stack. Piris Labs builds this optimized stack by combining proprietary **optical** interconnects with software designed to maximize hardware utilization. We vertically optimize the interconnect layer—just as the compute layer was vertically optimized by **Groq** (acquired by **NVIDIA** for $20 B).\n\nPiris Labs combines proprietary optical interconnects with a purpose-built software stack designed to maximize hardware utilization, delivering **5x** lower latency, **10x** lower power per bit, and **2x** lower cost per token\\\n\\\n**Our Launch Video**\\\n\n\n**The Team**\n\nWe are a team of specialists at the intersection of hardware and AI:\n\n* Ali Khalatpour: MIT-trained engineer and Harvard–Stanford–trained optical scientist; developed the first room-temperature terahertz semiconductor laser; led the development of GUSTO’s optical engine for NASA\n* Keyvan Rezaei Moghadam: AI scientist and engineering leader with experience building 0-to-1 AI infrastructure at Meta and Twitter.\n\n### **Our Ask**\n\n**AI Products**: If you want to scale your inference workloads while slashing costs, reach out to us at [**contact@pirislabs.io**](mailto:contact@pirislabs.io).\\\n\\\n**Chip Makers & ODM Partners**: We are also looking for a couple of additional partners who get the chance of trying our optical solution first hand. Shoot us an email at [**founders@pirislabs.io**](mailto:founders@pirislabs.io).", "url": "https://www.ycombinator.com/launches/PQd-piris-labs-inference-at-light-speed", "votes": 21, "created_at": "2026-02-12T17:58:23.293Z" } ] }, { "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": 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. 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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": 31258, "name": "Dream", "slug": "dream", "former_names": [ "Dream Browser" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/479d7e4f9e6b74b1df9f87c67fe614babba0a9b5.png", "website": "https://www.pingdream.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Dream makes AI cameras that catch damage teams miss. Car dealerships, equipment rental companies, fleets, and more move expensive assets in and out all day, and undocumented damage is a costly leak.\r\n\r\nDream cameras are simple to set up and work automatically. Each vehicle or machine that passes is photographed from every angle, identified, and reconstructed into a complete condition record. On return or intake, Dream instantly flags new dents, scrapes, and changes your team might miss, giving one source of truth for every asset's condition over time.\r\n\r\nRyland worked at X/xAI and built aerial damage-detection vision at Vexcel Imaging. Alexander worked at AWS and trained edge-camera models deployed in the wild across Africa and India to detect poachers.", "one_liner": "Using VLMs to Catch Damage", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1786646316, "tags": [ "Hardware", "Machine Learning", "Computer Vision", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/dream", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/dream.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pingdream", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/479d7e4f9e6b74b1df9f87c67fe614babba0a9b5.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": 1393934, "full_name": "Ryland Birchmeier", "title": "Founder", "founder_bio": "Ryland Birchmeier is Co-founder of Dream (YC S26), building pocket-sized, battery-powered AI cameras that automatically capture assets and catch damage teams miss at car dealerships, equipment rental companies, and more.\n\nPreviously, Ryland worked at X/xAI and built aerial computer vision at Vexcel Imaging. He studied computer science at the University of Virginia.", "is_active": true, "linkedin_url": "https://linkedin.com/in/rylandbirchmeier", "x_url": "https://x.com/rylandbirch", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/37f594b7f6b8754e9966db95609cba5942fd3185.jpg" }, { "user_id": 1456894, "full_name": "Alexander Halpern", "title": "Founder", "founder_bio": "Alexander Halpern is Co-founder of Dream (YC S26), building pocket-sized, battery-powered AI cameras that automatically capture assets and catch damage teams miss at car dealerships, equipment rental companies, and more.\n\nPreviously, Alexander built agents for AWS Marketplace and trained models for edge computing cameras deployed across Africa and India to detect poachers hunting endangered wild cats at Panthera. He studied computer science at the University of Virginia.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexanderhalpern", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4702d251513a653e5c3f7e4d1307df73e45916e3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110473, "title": "Dream - Pocket-sized AI cameras that catch asset damage", "tagline": "Dream makes pocket-sized, battery-powered AI cameras that catch damage teams miss.", "body": "Hey everyone 👋, we are Ryland and Alexander, co-founders of Dream.\n\n**TL;DR: Dream automatically photographs every vehicle or machine that passes through your gate, builds a 3D condition record, and uses AI to catch new damage the moment an asset passes through.**\n\n**Launch Video: [https://youtu.be/uMP12lCb12E](https://youtu.be/uMP12lCb12E)**\n\n**The problem**\n\nDamage is an expensive leak for anyone who moves large, expensive assets in and out all day. It shows up two different ways:\n\n**Car dealership service departments**\n\n* As a car pulls into the service entrance, damage that could be identified and fixed goes unnoticed, which is lost revenue.\n* Without a record of the car's condition on arrival, disputes come down to the customer's word against the dealership's, and the dealership gets blamed for pre-existing damage.\n\n**High-value asset rentals (heavy equipment, trucks, boats, planes, trailers)**\n\n* Teams are inconsistent about photographing assets as they go out and come back, so new damage gets missed before the customer is billed.\n* When damage is missed, there's no evidence to charge the customer, so the company eats the repair cost out of pocket.\n\n**What Dream does**\n\nDream cameras sit at your gate, lane, or service drive and turn every pass into evidence, automatically:\n\n* **Continuous capture:** every vehicle or machine that moves through is photographed from every angle. No one has to remember to do it.\n* **Asset identification:** Dream knows exactly what you need to look at.\n* **3D reconstruction:** every pass becomes a complete 3D condition record for that asset.\n* **AI damage detection:** on return or intake, Dream compares against the last record and flags new dents, scrapes, and visible changes right away.\n\nThe result is one clear source of truth for every asset's condition over time: rental companies catch damage before they bill so they stop eating repair costs, and dealership service departments find more fixable damage and resolve customer disputes with evidence.\n\nWorks across cars, vans, trucks, heavy equipment, and more.\n\n**Why us**\n\nWe have spent years training models for aerial imaging and edge computer vision devices. Ryland has worked on the exact problem of detecting damage to assets from aerial imaging, such as degraded paint. Alexander has trained models that run on edge cameras deployed in the wild in Africa and India to detect poachers.\n\n**Our ask**\n\nWe're onboarding partners now. **We'd love intros to:**\n\n* **Car dealerships**\n* **High-value asset rental companies** (heavy equipment, trucks, boats, planes, trailers)\n\nIf you run one of these, or know someone who does, please message us on LinkedIn!", "url": "https://www.ycombinator.com/launches/Sjp-dream-pocket-sized-ai-cameras-that-catch-asset-damage", "votes": 7, "created_at": "2026-08-14T17:00:00.348Z" } ] }, { "id": 31298, "name": "Applied Electrodynamics, Inc.", "slug": "applied-electrodynamics-inc", "former_names": [ "Applied Electrodynamics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/11648bf43e6f51e66e8e798d40073877c53c2f20.png", "website": "https://www.ae-dyn.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Applied Electrodynamics builds imaging systems that see through solid matter. Our team previously co-invented the iPhone touchscreen and Nest learning thermostat. We’re starting in construction, helping teams map structural elements and utilities inside walls and ceilings. The same platform extends to security screening and cargo inspection. Our mission is to make the hidden physical world machine-readable across the entire electromagnetic spectrum.\r\n", "one_liner": "A new kind of camera that can see through walls.", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1785202775, "tags": [ "Hard Tech", "Hardware", "Construction", "Manufacturing", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/applied-electrodynamics-inc", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/applied-electrodynamics-inc.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/applied-electrodynamics", "x_url": "https://x.com/ae_dynamics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/11648bf43e6f51e66e8e798d40073877c53c2f20.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 2724984, "full_name": "Bilgehan Avser", "title": "Founder/CEO", "founder_bio": "Bil Avser previously led antenna technologies at Apple across multiple iPhone generations, including UWB, 5G, and mmWave systems, before serving as Head of Technology at Humane through its acquisition by HP. He holds a PhD in Electrical Engineering, has 35+ patents in electromagnetics and RF systems, and received the IEEE APS Pre-Doctoral Research Award.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bavser", "x_url": "https://x.com/bavser", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1b1a0995ed1bd232a77653db4e4dee2ab647ac71.jpg" }, { "user_id": 2980661, "full_name": "Brian Huppi", "title": "Founder", "founder_bio": "Brian Huppi is a hardware engineer and inventor who helped build the earliest iPhone prototypes at Apple, contributing to the multitouch hardware that redefined how the world interacts with devices. He co-invented the first generation Nest Learning Thermostat and later worked on the AI Pin at Humane. He is a named inventor on numerous patents spanning touch interfaces, sensing systems, lighting, and connected devices. Brian holds degrees in Civil and Electrical Engineering from UMass Amherst.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brian-huppi-69a8433/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d67b0681b838d1fed82f35b18d6a43b7bebae7ab.jpg" }, { "user_id": 2974809, "full_name": "Paul Leutheuser", "title": "Founder", "founder_bio": "Paul Leutheuser is a hardware product design engineer who drove numerous new iPhone features into production, including the first haptic home button and IPX8 sealed enclosure. He then designed and shipped multiple 0-1 products at Humane, leading the Product Design team post-acquisition. Paul has 11 patents and holds a Mechanical Engineering degree from UC Berkeley.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/paul-leutheuser-54207364/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/034c1ff34b8c99a04807aa712b02f94f3c6d3e72.jpg" }, { "user_id": 2980566, "full_name": "George McLean", "title": "Founder", "founder_bio": "George McLean is an applied physicist with wide-ranging experience in semiconductor imaging systems and medical devices and patents in retinal prothesis and wearable physiological monitoring. At Humane he made key contributions to the laser display of the Ai Pin. He holds degrees in physics from MIT and UC Berkeley.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/george-mclean-75990415/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4b8c4f90c563da550a00fdb0e86935250883a24f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108275, "title": "Applied Electrodynamics: A new kind of camera that can see through walls", "tagline": "Making the physical world machine-readable across the entire electromagnetic spectrum", "body": "**TL;DR:** We are building a new kind of camera that can see through walls using radio waves. We provide construction, industrial inspection, and security teams with an accurate map of hidden objects behind walls and composite surfaces.\n\n\n\n## **The Problem**\n\nMost of the built world is opaque.\n\nPipes, cables, and structural elements hide behind walls until they're discovered mid-project, driving $20B+ a year in avoidable rework.\n\nDefects remain hidden inside composites until parts break.\n\nEntry teams are missing critical information before they breach a barrier.\n\n## **The Solution**\n\nAn imaging platform that uses radio waves to see behind walls. It works just like a camera, requiring no training and producing high-resolution images that are instantly understandable. The resulting point cloud is natively to scale, accurate down to 1mm.\n\n## **The Team**\n\nFour engineers who've worked together for 8+ years, shipped multiple zero-to-one hardware products, and hold 250+ patents.\n\n**Bilgehan** — PhD in electromagnetics; led antenna technologies on four iPhone generations, shipping the first phones with UWB and 5G mmWave; inventor of the zirconia dielectric resonator antenna.\n\n**Brian** — built the earliest iPhone prototypes at Apple, co-invented iPhone multitouch and the Nest Learning Thermostat; degrees in Electrical and Civil Engineering.\n\n**George** — MIT physicist; built x-ray imagers, retinal implants, optical sensors and the world's smallest laser projector.\n\n**Paul** — Berkeley Mech.E.; ex-Apple and Humane product design lead; co-invented iPhone haptic Touch ID, IPX8 sealing.\n\n## **What we built**\n\n![uploaded image](/media/?type=post&id=108275&key=user_uploads/2724984/c00b3438-c7f7-433f-941d-e021791e51c5)\n\nWe've built the hardware and imaging algorithms that can see behind composite layers and common building materials (sheetrock, tiles, marble, quartz, brick and insulation). Next step is our handheld platform that fuses our radio imaging with RGB and thermal cameras.\n\n![uploaded image](/media/?type=post&id=108275&key=user_uploads/2724984/f1cf1ffa-8b23-4780-b363-13b0db90832d)\n\n## **Our Ask**\n\nWe're looking for intros to decision makers at general contracting firms and industrial inspection teams, and to contacts with military access who can introduce and demo our systems to US defense organizations.\n\nIf that's you or someone you know, reach out to us at [founders@ae-dyn.com](mailto:founders@ae-dyn.com)", "url": "https://www.ycombinator.com/launches/SAN-applied-electrodynamics-a-new-kind-of-camera-that-can-see-through-walls", "votes": 25, "created_at": "2026-07-30T14:48:05.478Z" } ] }, { "id": 31374, "name": "Tenet Industries", "slug": "tenet-industries", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5849b2060564f1836d25c1fa4a3cd18ef1bf9553.png", "website": "https://www.tenetindustries.com", "all_locations": "Stockholm, Stockholm County, Sweden", "long_description": "Tenet Industries is building AI-automated factories for electronics manufacturing services.\r\n\r\nWe're using AI and robotics to build a factory in München for instant-quote, fast-turnaround PCB Assembly and electronic manufacturing services.", "one_liner": "AI-automated factory for PCBAs", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1775173231, "tags": [ "Hardware", "Manufacturing", "Automation", "Electronics", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "Sweden", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tenet-industries", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/tenet-industries.json", "year_founded": 2026, "city": "Stockholm", "country": "SE", "linkedin_url": "https://www.linkedin.com/company/tenet-industries-ab/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5849b2060564f1836d25c1fa4a3cd18ef1bf9553.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ed09a12073ae1ca655b04908a899478f377abca8.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 3351069, "full_name": "Emil Falk", "title": "Founder/CEO", "founder_bio": "Building Tenet: ultrafast, cheap and instant-quoted PCBAs in Europe with amazing developer tools & APIs.\n\nTwo-time hardware founder with an exit in a hardware startup. Grew up in a machining shop in Sweden. Stockholm School of Economics dropout. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emilfalk/", "x_url": "https://x.com/falkemil_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d442cfd078bc68961d3553d7f857be44b0af1fb9.jpg" }, { "user_id": 3398084, "full_name": "Fabian Andersson", "title": "Founder/Engineering", "founder_bio": "Member of Technical Staff @ Tenet Industries. Used to build firmware and hardware for rockets and guidance systems. Dropped out of Aerospace Engineering at KTH. Ran a chicken farm at 11.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/fanderssons/", "x_url": "https://x.com/0xfabian_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/24ff800c4c997be29d743a213138a5f543a18edc.jpg" }, { "user_id": 3336958, "full_name": "Hugo Frisk", "title": "Founder/Engineering", "founder_bio": "Member of Technical Staff @ Tenet Industries. Previously built production lines at Teenage Engineering. Built rockets and electronics at ÆSIR. Dropped out of engineering physics at KTH. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hugo-frisk/", "x_url": "https://x.com/PepperoniPingu/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7dedc99c702850fd8f6aa424807cc1a74a43355d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31454, "name": "E1O", "slug": "e1o", "former_names": [ "Datost", "ED1TH" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9320ae60dfd7f05401e99f8ca644e1ab6704289e.png", "website": "https://e1o.com", "all_locations": "San Francisco, CA, USA", "long_description": "E1O (E1 Optics) is building camera-free AI glasses with a private display and a personal assistant. Follow your coding agents, catch up on email, and bring useful information into view. Connected to the E1O app on your phone. Join the early-access waitlist at e1o.com.", "one_liner": "Camera-free AI glasses. Your AI, out in the world.", "team_size": 1, "industry": "Consumer", "subindustry": "Consumer -> Consumer Electronics", "launched_at": 1772488469, "tags": [ "Hardware", "Consumer", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Consumer", "Consumer Electronics" ], "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/e1o", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/e1o.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/e1o", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9320ae60dfd7f05401e99f8ca644e1ab6704289e.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": 3415656, "full_name": "Maceo Cardinale Kwik", "title": "Founder/CEO", "founder_bio": "Founder and CEO of E1O (E1 Optics), building camera-free AI glasses with a private display and a personal assistant. Previously a software engineer at Traba, where I built Datost on nights and weekends before joining YC. Datost reached $400K ARR in eight weeks; I then pivoted to the hardware I wanted to build. B.S. in Computer Science from Virginia Tech in two years, 4.0 GPA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maceo-cardinale-kwik", "x_url": "https://x.com/maceock", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4da7dc7afaa3ecc1fee94de4d1c2f8db75f48f57.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 99800, "title": "Datost - The most accurate AI data analyst", "tagline": "A proactive AI data analyst with a built in semantic layer that actually understands your business", "body": "Hey everyone — This is Maceo and Jason, founders of Datost.\n\n**TL;DR:** Datost is an AI data analyst your team @mentions in Slack. It keeps a semantic layer of your business definitions so it understands what questions mean before writing SQL. On the hardest public text-to-SQL benchmark, it scores 75.2%. The best frontier model alone gets 33%.\n\n**Why I built this**\n\nWe saw the problem while I was at Traba, a staffing marketplace. Traba had a lot of data and not enough analysts. Someone would need a number to make a decision, and the path to that number ran through SQL they couldn’t write or an analyst who was busy. The question would sit for hours. By the time the answer showed up, the decision had already been made on a guess.\n\nThere are AI analytics tools out there now. They all have the same problem: they don’t understand your business. When your PM asks “which accounts are at risk of churning,” there’s no column called that. “At risk” has a formula that lives in someone’s head, or a doc, or nowhere. These tools guess an interpretation and commit. Then someone in a Slack thread acts on the answer before anyone checks whether it was right.\n\n**The semantic layer**\n\nDatost maintains a layer of your team’s definitions, what “churn risk” means at your company, how you calculate NRR, which tables are trustworthy, what that internal acronym stands for.\n\nWhen it hits a term it hasn’t seen, it looks it up the same way a new analyst would ask a coworker. When the semantic layer doesn’t have it either, it asks the user before writing any SQL.\n\nIt learns from mistakes too. When it gets something wrong, it leaves notes on the schema so it doesn’t make the same mistake twice. Teams that have been using it for a few months barely correct it anymore.\n\n![uploaded image](/media/?type=post&id=99800&key=user_uploads/3433862/f456e145-3c20-47ed-b570-06e70b3c6cda)\n\n**What it actually does**\n\nYour team @mentions Datost in any Slack channel. It searches the semantic layer, explores your schema in a sandbox, writes and tests SQL, then posts the answer in-thread with the work shown. A second model reviews every answer read-only. If the definition says one thing and the SQL does another, the reviewer catches it.\n\nIt also runs on its own. You can set it up to post a pipeline coverage update to #sales every Monday, or flag when a metric moves outside a range you care about. Or if youre old fashioned it can make a beautiful dashboard for you :)\n\n![uploaded image](/media/?type=post&id=99800&key=user_uploads/3433862/f5c22b08-a608-47cd-a986-785487b6935e)\n\nIt connects to Postgres, MySQL, BigQuery, Snowflake, Databricks. Also Datadog, Sentry, PostHog, Coda, Notion, GitHub, and anything else via MCP. It reads your Slack history to see how things were answered before. It reads your codebase to understand how a metric is actually calculated. Charts, dashboards, PDFs, exports, whatever format you need. Most answers come back in under a minute.\n\n**The benchmark**\n\nWe ran Datost against BIRD-Interact, the hardest public text-to-SQL benchmark. 600 deliberately ambiguous questions across 22 messy and realistic PostgreSQL databases, published at ICLR 2026. Every question uses terms that aren’t in the schema.\n\nClaude Opus 4.6, the model Datost runs on, gets 33% on its own. Datost scored 75.2%. Same model. The gap is the semantic layer. On analytical questions, 91%.\n\nFull breakdown here: \n\n**Ask**\n\nIf your team has a Slack, Teams, or Google Chat workspace and data people keep asking about, we can get you running in a day.\n\n* [**Book a call**](https://datost.cal.com/founders/30-min)\n* Email me or Jason: [maceo@datost.com](mailto:maceo@datost.com) or [jason@datost.com](mailto:jason@datost.com)  \n* Or reply here\n\n", "url": "https://www.ycombinator.com/launches/Pxg-datost-the-most-accurate-ai-data-analyst", "votes": 41, "created_at": "2026-04-16T00:27:18.539Z" } ] }, { "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": 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": 32129, "name": "Egoist Machines", "slug": "egoist-machines", "former_names": [ "studysesh" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cfd986a9205506ed6e96b2903d048ce2aa98626d.png", "website": "https://ego.ist/", "all_locations": "San Francisco, CA, USA", "long_description": "Egoist Machines is building infrastructure for a world where your personal context belongs to you, rather than to the apps and AI companies you use. Today, every assistant and consumer app builds its own version of you. We think that architecture is backwards. Your context should live with you, persist across products, and be available to any model, app or agent you choose.\r\n\r\nAI Passport is the first layer of that infrastructure. It brings the context you generate across AI assistants and everyday apps into one portable profile you control. Tell ChatGPT something and Claude can already know it, for example. Switch to a new product and it can understand you from the first interaction, without the new company needing to own the underlying data.\r\n\r\nApps integrate through Sign in with AI Passport, requesting only the context they need for a specific purpose and duration. Users can see what is being accessed and revoke that access later. Underneath, we have built our own memory infrastructure for fast, compact per-user retrieval and permissioned access.\r\n\r\nWe are distributing AI Passport directly to consumers through first-party products, while integrating it into consumer applications with existing distribution. Every new product that uses Passport gives users another reason to maintain their context there, and every additional Passport holder makes the context layer more useful to developers.\r\n\r\nThe next step is to build a true Egoist Machine: an intelligent system whose memory, incentives and actions are governed by the individual it represents. We call it Digital Domovoy, the hardware extension of AI Passport. Instead of your most personal context ultimately living on somebody else's servers, it lives and is processed locally on hardware you control. AI Passport becomes the permission layer between that private local context and the cloud models and internet services you choose to use.\r\n\r\nOur North Star is the Egoist Machine: an intelligent system whose memory, incentives and actions are governed by the individual it represents.", "one_liner": "Your personal context, securely portable across every AI app.", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1784701469, "tags": [ "Hardware", "Personalization", "Privacy", "Consumer Products", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Consumer" ], "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/egoist-machines", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/egoist-machines.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/130104210/", "x_url": "https://x.com/EgoistMachines", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/egoist-machines", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cfd986a9205506ed6e96b2903d048ce2aa98626d.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": 3328552, "full_name": "Erin McGurk", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Egoist Machines (YC S26). Grew 0 to 1M+ followers in a year (@erinmerylstudy) and scaled a social enterprise reaching millions. Advised Cambridge and the UK Government on social media strategy. BA (Uni of Cambridge), Land Economy (Economics + Law). Focused on privacy, and social + legal infrastructure.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/erin-mcgurk", "x_url": "https://x.com/erinmerylstudy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f0cad001b56062b81b2b1049fee039401556e8fc.jpg" }, { "user_id": 1963978, "full_name": "David Khachaturov", "title": "Founder/CTO", "founder_bio": "Founder at Egoist Machines (YC S26). BA/MA (Uni of Cambridge), MSc (Uni of Oxford), PhD (Uni of Cambridge) in Computer Science. Youngest-ever Fellow at St Catharine's College, Cambridge at 25. Previously ML Researcher at OpenAI (PaperBench), Lead AI Security Researcher at FrontierOne. Founded and scaled mazette! (game publisher, 10-title portfolio). Cambridge CS supervisor for 8+ courses, taught 160+ supervision groups and mentored 19 dissertations.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/david-g-khachaturov/", "x_url": "https://x.com/davidobot_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/414ccf8066649877960bdc6ad659a315ca611119.jpg" } ], "jobs": [], "news": [ { "title": "Business Weekly Awards 2026: 44 shortlisted companies revealed for Cambridge Tech and Life Sciences showcase", "url": "https://www.businessweekly.co.uk/posts/business-weekly-awards-2026-44-shortlisted-companies-revealed-for-cambridge-tech-and-life", "date": "Jul 24, 2026" }, { "title": "Manchester founder moves to Silicon Valley to build AI startup", "url": "https://businesscloud.co.uk/news/manchester-founder-moves-to-silicon-valley-to-build-ai-startup/", "date": "Jul 17, 2026" }, { "title": "Former Altrincham Grammar student secures backing from world's top startup accelerator", "url": "https://altrincham.todaynews.co.uk/schools/2026/07/16/former-altrincham-grammar-student-secures-backing-from-worlds-top-startup-accelerator/", "date": "Jul 16, 2026" }, { "title": "Former Altrincham student builds new AI company in California | Messenger Newspapers", "url": "https://www.messengernewspapers.co.uk/news/26279308.former-altrincham-student-builds-new-ai-company-california/", "date": "Jul 15, 2026" }, { "title": "Y Combinator backs Cambridge-founded Egoist Machines to launch ‘AI Passport’", "url": "https://www.businessweekly.co.uk/posts/y-combinator-backs-cambridge-founded-egoist-machines-to-launch-ai-passport", "date": "Jul 14, 2026" } ], "launches": [ { "id": 111045, "title": "Egoist Machines: user-owned hyper-personalisation infrastructure for Web 4.0", "tagline": "One portable, permissioned memory and context layer for hyper-personalisation across every AI application.", "body": "**TL;DR:** We are building AI Passport, the user-owned context layer for consumer AI. It lets people carry their personal context between products while controlling exactly what each product can access, why, and for how long.\n\nRead our manifesto for the bigger vision: \n\nCreate your AI Passport to start taking control of your data: \n\n**Ask**: if you’re working on a consumer-facing AI application, or know someone who is, we’d love to chat: [founders@ego.ist](mailto:founders@ego.ist)\n\n\n\nThe next era of consumer technology will be **hyper-personalised**. The products that understand each user from the very first interaction will create fundamentally better experiences and, we believe, the next consumer decacorns. People increasingly lack the time and patience to train every new product from scratch.\n\nThe main blocker to ubiquitous consumer AI is that every major AI assistant and consumer app is building its own private and incomplete model of the same person. ChatGPT holds one model, Claude another, while the data in health apps, calendar, shopping history, travel accounts, wearables, and financial tools remain trapped in separate silos. No product has the complete context needed to understand you, and no user has a single place from which to control it.\n\nAs a result:\n\n\\- Users get bored of repeatedly explaining themselves;\n\n\\- Companies spend money building context that already exists;\n\n\\- Personal data remains trapped inside platforms the user does not control.\n\nThe natural end state of this inefficiency is one user-owned memory and context layer that sits above individual products. Apps request the specific context they need, and users grant scoped, time-limited access instead of permanently surrendering their data.\n\n**_That is AI Passport_**.\n\n---\n\n## How AI Passport works\n\nAI Passport is a centralised, user-controlled home for personal context.\n\nYou can think of it as **Link for personal context**. Link lets people securely save their payment and shipping information once and reuse it across businesses; AI Passport does the same for _all_ your context, including preferences, interests, goals, history, health, travel, and so much more.\n\nUsers bring this context into one centralised AI Passport by connecting the apps and AI assistants they already use. They can also save anything they discover online or on social media directly to their Passport. New information enters an approval inbox, where the user decides whether it becomes _private memory_ or part of their _living, shareable public profile_.\n\nThat same Passport then becomes a plug-and-play connector for consumer apps through our **Sign in with AI Passport** OAuth system:\n\n1\\. An app requests the specific context it needs.\n\n2\\. The user sees exactly what is being requested, why it is needed, and how long access will last.\n\n3\\. The user can approve, edit, or deny the request, with the option to grant one-time, time-limited, or continuing access .\n\n4\\. Every permission can later be inspected or revoked.\n\nWe are launching AI Passport directly to consumers and through distribution and deep-integration partners collectively reaching millions of users across dining, ride-hailing, wearables, healthcare, lifestyle, finance and more.\n\nWe built a custom memory backend for AI Passport. It is optimised for compact, exact retrieval across isolated per-user memory stores and supports cryptographic access control at the memory layer. The retrieval path is constrained by the user's active permission, so the product can access only the context authorised for that purpose and period.\n\n---\n\n## Who we are\n\n![uploaded image](/media/?type=post&id=111045&key=user_uploads/3328552/4bb1bba6-8c9f-4d94-b88a-28051f5e6e45)\n\n**Dr David Khachaturov** holds a PhD (Uni of Cambridge) in Computer Science and is the youngest-ever Fellow at St Catharine's College, Cambridge. Previously an ML Researcher at OpenAI (PaperBench) and Lead AI Security Researcher at FrontierOne.\n\n**Erin Meryl McGurk** grew 0 to 1M followers on socials in one year. Advised Uni of Cambridge, UK Govt, OpenAI on social media strategy. Founded social enterprise Girl Economics to 15 countries, 75 ambassadors, 10+ weekly events.\n\n---\n\n## Our Ask\n\n**For users:** create your AI Passport () and tell us what you think!\n\n**For builders:** if you are building a product that could benefit from richer user context, explore our developer docs () and feel free to reach out to [founders@ego.ist](mailto:founders@ego.ist).\n\nWe would especially value introductions to teams building consumer AI, wearables, health products, commerce experiences, or agents that need bounded access to sensitive personal information. If that is you, I want to chat: ", "url": "https://www.ycombinator.com/launches/St3-egoist-machines-user-owned-hyper-personalisation-infrastructure-for-web-4-0", "votes": 59, "created_at": "2026-08-18T14:58:03.221Z" } ] }, { "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": 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": 32206, "name": "DeepReach Inc.", "slug": "deepreach-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/165caaebecbd3f0b9470bb5817a0a1817520c935.png", "website": "http://www.deepreach.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Physical AI — robots and world models — is bottlenecked on one thing: diverse,\r\nreal-world data at massive scale showing how humans actually do work in the\r\nphysical world. It was never written down, and you can't buy it, because no one\r\nhas ever captured it. Only real local experts, the people who do this work every\r\nday, can produce data this authentic and valuable.\r\n\r\nDeepReach builds the network that reaches them. We design and manufacture\r\nwearable stereo capture devices, then place them with local data partners who\r\nrun collection as their own business — in warehouses, workshops, farms, kitchens\r\nand repair shops. They own the local relationships; we supply the hardware, the\r\nsoftware platform, the quality pipeline and the payments. Anyone can run a data\r\nbusiness.\r\n\r\nThat structure is what produces diversity. Instead of thousands of hours inside\r\none environment, we deliver hours spread across thousands of environments —\r\nwhich is what actually makes robot policies generalize.\r\n\r\n475 devices in the field and 100+ data partners are live across 7 countries, adding new\r\npartners every week. They've collected nearly 150,000 clips in the past three\r\nmonths, with volume roughly doubling month over month. Our data is in production\r\nwith multiple frontier model and robotics companies, and we're scaling to\r\n10,000+ devices across 50 countries.", "one_liner": "Network for Physical AI Data Business", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1786563914, "tags": [ "Hardware", "Machine Learning", "Robotics", "Computer Vision", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "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": "Chris and I are from the same hometown and have known each other for ten years, long before either of us thought about robots.\r\n\r\nIn that time I built two companies around the same problem: how do you organize people you'll never meet, in places you'll never visit, to do consistent work? The first was HireIO, a cross-border staffing platform out of Silicon Valley. The second was Talex, an expert network for LLM data annotation — around 70,000 people across ten countries. Chris went the other direction: a CS PhD at USC in computer vision, ML infrastructure at Meta, then founding ML engineer at Aven.\r\n\r\nRunning an annotation network for language models, I kept hitting the same wall from the supply side. Text was running out, and the next generation of models wasn't going to learn from the internet. It was going to learn from the physical world — and nobody had captured it. What a warehouse picker, a line cook or a phone repair technician knows is real expertise, and none of it was ever written down. You can't buy that data, because it doesn't exist yet. Chris was hitting the same wall from the model side, watching what was missing from training sets.\r\n\r\nThe default answer at the time was to put a lab in one city and record thousands of hours in the same room. That produces volume, not diversity, and robot policies don't generalize from volume. What the models needed was the opposite shape: a few hours each from thousands of different real workplaces, all over the world. Which meant the bottleneck wasn't an AI problem. It was a distributed human network problem — reaching thousands of ordinary businesses across dozens of countries, and giving the people already working in them a reason to capture what they do. That was the problem I'd spent two companies learning to solve.\r\n\r\nWe started DeepReach in 2025. Chris owns perception and the data engine; I own the network, hardware operations and the commercial side. Ten years of knowing each other means we skipped most of the negotiation that takes co-founders their first year." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Core problem: robot models can't generalize, because the data they learn from all looks the same.\r\n\r\nPhysical AI needs to see how work actually happens — a mechanic torquing a bolt, a baker shaping dough, a technician opening a phone. None of it was ever written down. The internet captured what people say about the world; it never captured how people act in it. So unlike language models, this generation can't be trained on scraped text. Every hour has to be collected on purpose. \r\n\r\nToday the field has roughly tens of thousands of hours of this data against a need estimated in the hundreds of millions. But the gap isn't really a volume gap. It's a diversity gap. The standard approach is to build a lab, hire operators, and record for months in one controlled space. That yields thousands of hours that all look alike, and a policy trained on it fails the moment the lighting, the counter height, or the tool changes. Our customers' acceptance specs now reflect this directly: they cap how much of a delivery can come from any single environment type, and reject batches that are too concentrated. Diversity is the binding constraint, and it's now contractual.\r\n\r\nDiversity is hard for an economic reason, not a technical one. Collecting one hour each from a thousand real workplaces means negotiating access to a thousand real businesses — each with an owner who has no reason to let a stranger film their operation, in a country where you have no presence. That cost is why everyone else builds the lab instead. It's a distribution problem wearing an AI problem's clothes. \\\r\n\\\r\nThat's why we built the company as a network rather than an operation. The people who already work in those places, and already have the trust and the access, run collection as their own local business. We give them the hardware, the software and the payments. Access stops being something we buy and becomes something the network already has. \\\r\n\\\r\nI decided to work on this from the supply side. I'd spent two companies building cross-border human networks — a staffing platform, then a 70,000-person annotation network across ten countries — and kept watching demand arrive for data that no existing structure could produce. The bottleneck was never the model. It was that nobody had built the network that reaches the physical world." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "The long-term vision is a network that can reach any workplace on earth, and a record of how human work is actually done.\r\n\r\nConcretely: 10,000+ devices, 50 countries, one million commercial scenes, ten million task types. Every deployment adds to what we call the Human Skill Library — a permanent record of how people do physical work, built from the inside by the people who do it. Much of this knowledge exists nowhere else. It lives in the hands of a mechanic who has been doing the job for thirty years, and when he retires it's gone. Text and video on the internet captured what people say about work. Nobody has captured the work. \r\n\r\n\\\r\nIf we succeed, two things are different：\\\r\nFirst, robots stop being confined to the places that can afford to build around them. Today automation only pays at Amazon scale — a facility large enough to redesign itself for the machine. That's a rounding error of the world's actual workplaces. A policy trained on a million real environments doesn't need the environment to change; it works in a repair shop with bad lighting and a counter at the wrong height. That's the difference between robotics as a capability the largest companies buy and robotics as infrastructure a small business can use.\\\r\nSecond, the people whose work teaches these models are inside the economy that results. The last generation of AI was trained on data scraped from people who were never asked and never paid. This one has to be collected on purpose, from real workers in real workplaces, which means it can be built the other way — as something people opt into and earn from. We already have data partners in ten countries running this as a business they own. At 10,000 operators that isn't a side effect of how we source data. It's the point." } ], "url": "https://www.ycombinator.com/companies/deepreach-inc", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/deepreach-inc.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/in/timothyli-deepreach/", "x_url": "https://x.com/DeepReach_AI?s=20", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/deepreach-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/165caaebecbd3f0b9470bb5817a0a1817520c935.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/482534d82410b1adf1774b961acd50c6704093e0.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 3114257, "full_name": "Chris Liu", "title": "Founder/CTO", "founder_bio": "Co-founder at DeepReach Inc. Founding MLE & tech lead of Aven scaling to #1 in DM volume in the US. Research Scientist at Meta working on core ML systems. PhD in computer vision from USC. B.S. from Peking University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/drxcliu", "x_url": "https://x.com/drxcliu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1f9e9212493e67c1bb9a3a913e2ab4c6fa9b897e.jpg" } ], "jobs": [ { "id": 112083, "title": "VP / Head of Global Data Partner Network & Operations", "url": "https://www.ycombinator.com/companies/deepreach-inc/jobs/r0itCEs-vp-head-of-global-data-partner-network-operations", "location": "San Jose, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 110389, "title": "DeepReach: Launch a real-world data business today", "tagline": "Multi-million-dollar contracts secured with frontier AI labs — and growing", "body": "**TL;DR:** DeepReach is a global data network that equips local entrepreneurs with wearable devices to capture the real-world operation data for Physical AI training. By decentralizing collections across thousands of entrepreneurs who have access to local businesses, they provide high-diversity training data that cannot be accessed elsewhere. DeepReach already signed multiple-million-dollar contracts with frontier AI labs.\\\n\\\n**DeepReach is building a global network for real-world human data to train Physical AI.**\n\nWe enable local entrepreneurs to operate data-collection businesses using our wearable capture devices, while we provide the hardware, software, QA, and customers.\n\nThe result is a distributed network that produces the diverse human demonstrations Physical AI labs cannot obtain anywhere else. Every new data partner expands the diversity and value of the network.\n\nIn just three months, DeepReach has helped **150+ entrepreneurs** build data businesses employing **1,000+ local experts** across **7 countries**. Together, they’ve collected **500,000+ real-world operation clips**, captured **150,000+ professional skill demonstrations**, and secured **several million dollars in customer contracts** with frontier AI labs and robotics companies.\n\n▶ **Watch how it works:** \n\n---\n\n# **The Problem**\n\nFrontier AI is already learning from the physical world.\n\nThe challenge is no longer collecting data, it’s collecting **diverse** real-world data at scale.\n\nMost companies solve this by building collection labs or hiring workers directly. Both approaches scale headcount, but neither scales access. The hardest part is reaching millions of real workplaces across different industries, countries, and working conditions.\n\nWithout that diversity, AI struggles to generalize beyond a small number of controlled environments.\n\n---\n\n# **What We Built**\n\nInstead of building another data collection company, **we built a platform where entrepreneurs launch independent real-world data businesses.**\n\nDeepReach provides the wearable devices, software platform, quality infrastructure, customer demand, operational support, and payments. **Entrepreneurs build and grow the businesses.**\n\nThey recruit local experts, develop trusted relationships with local businesses, and continuously expand into new industries, communities, and real-world environments.\n\n**Every new business expands the platform’s reach into the physical world, creating access to places, people, and skills that centralized data collection simply can’t reach.**\n\nThe result isn’t a larger workforce, it’s **a growing ecosystem of independent data businesses** that continuously expands the world’s supply of diverse real-world data for Physical AI.\n\n---\n\n# **Where We Are**\n\nIn just three months:\n\n* **150+ entrepreneurs** have launched data businesses on DeepReach\n* Those businesses now employ **1,000+ local experts** across **7 countries**\n* **500,000+ real-world operation clips** collected\n* **150,000+ professional skill demonstrations** captured\n* **Several million dollars in signed customer contracts** with frontier AI labs and robotics companies\n* Scaling toward **10,000+ devices** across **20 countries**\n\n# **Where This Goes**\n\nOur model is simple: labs list the tasks and environments they need, our entrepreneurs pick up the orders and go record them, and every delivery makes the network more capable of fulfilling the next one. It also compounds into something bigger, what we call the **Human Skill Library**: a growing record of how people interact with the physical world.\n\nMost of this knowledge has never been documented. It lives in the hands of experienced workers, passed down through practice rather than words, and it often disappears when they retire.\n\nOur vision is to preserve and scale humanity's physical knowledge, so every AI system can learn from the collective experience of human work.\n\n# **About Us**\n\n\\\nTim built HireIO into a leading global workforce company with 15 millions in annual revenue, then founded [Talex.ai](http://Talex.ai), an AI-powered expert network, before starting DeepReach. Chris comes from a computer vision background. We discovered the problem firsthand while labeling data for robotics startups: the real bottleneck wasn’t annotation, it was capturing diverse real-world human skills at scale.\n\n![uploaded image](/media/?type=post&id=110389&key=user_uploads/1294315/9bb8c293-ab57-42aa-b756-58562e546b78)\n\n---\n\n# **How You Can Help**\n\nIf you’re building frontier AI systems and need more diverse real-world data, we’d love to talk.\n\nIf you’re an entrepreneur interested in building a real-world data business, applications are open here: [www.deepreach.ai/join](https://www.deepreach.ai/join)\n\nTim Li\\\nFounder & CEO, DeepReach AI\n\n[**tim.li@deepreach.ai**](mailto:tim.li@deepreach.ai)", "url": "https://www.ycombinator.com/launches/SiT-deepreach-launch-a-real-world-data-business-today", "votes": 470, "created_at": "2026-08-13T18:33:15.556Z" } ] }, { "id": 32225, "name": "Stoa", "slug": "stoa", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cf71f2bfca9f3f554d22c43f0dfd7b1a38171535.png", "website": "https://www.stoaexchange.com", "all_locations": "San Francisco, CA, USA", "long_description": "Stoa provides pricing and trading infrastructure for AI hardware, live with an RFQ marketplace where companies buy and sell GPUs through vetted dealers real-time.", "one_liner": "The market behind AI hardware.", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1785367811, "tags": [ "Fintech", "Hardware", "Marketplace", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/stoa", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/stoa.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/stoamarkets/", "x_url": "https://x.com/stoaexchange", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/stoa-d396", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cf71f2bfca9f3f554d22c43f0dfd7b1a38171535.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": 1961995, "full_name": "Berat Celik", "title": "Founder/CEO", "founder_bio": "CEO of Stoa. Repeat founder who walked away from xAI to build Stoa. UBC, computer science and economics; Cornell M.Eng., computer science.", "is_active": true, "linkedin_url": "https://linkedin.com/in/beratcelik1", "x_url": "https://x.com/beratcelik0", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3db0925f484f9622bdabb784771b1618d0408f66.jpg" }, { "user_id": 1960190, "full_name": "Eren Berke Saglam", "title": "Founder/CFO", "founder_bio": "CFO of Stoa. Traded interest rates derivatives at Citi. Dartmouth salutatorian, computer science and economics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eren-berke-saglam", "x_url": "https://x.com/erenberke0", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8fa08c8d9b7dd4e7053173162485cba755b2b252.jpg" }, { "user_id": 3415052, "full_name": "Kaan Yigit", "title": "Founder/CTO", "founder_bio": "CTO of Stoa. Worked as a quantitative developer at Uniper, building the trading systems behind financial oil and gas books. UIUC, computer science.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kaan-yigit/", "x_url": "https://x.com/kaan_yigit0", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/94061540990806801bdde87e10a5a8fad1228468.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108473, "title": "Stoa: The market behind AI hardware", "tagline": "GPU marketplace where vetted dealers bid blind with firm quotes. $300M+ in RFQs in our first month.", "body": "**TL;DR:** AI hardware trades over phone calls and forwarded spreadsheets. No venue, no price to mark against: lenders mark billions in GPU collateral off appraisals. We're building Stoa, an RFQ marketplace where buyers and sellers get firm quotes within 48 hours, and settled trades build the prices the market can mark, finance, and hedge against.\n\n\n\nGPU deals close in group chats. We know because we've been in them.\n\nA price arrives as a voice note. Someone forwards an inventory list, then it gets forwarded again, and soon three brokers are offering the same machines. Nobody knows who actually owns what or whether any quote is firm.\n\nThe market behind those chats is worth hundreds of billions of dollars a year. Lenders mark billions in GPU collateral off appraisals, not trades.\n\nWe're Berat, Eren, and Kaan. We're building Stoa.\n\nAI hardware is becoming an asset class, but its market is missing the basics: a venue where hardware can trade, prices that buyers, sellers, and lenders can mark against, and eventually financing and hedging built on those prices. We're starting with the venue: an RFQ marketplace for GPUs. It gets buyers and sellers firm quotes, and every bid and settlement builds the history the rest needs.\n\n**Here's how it works**\n\nPost what you want to buy or sell: B300s, H200s, H100s, a bare card or a full cluster, new or secondary.\n\nVetted dealers bid blind with firm quotes. Instead of spending weeks calling around, you get through the RFQ in 48 hours.\n\nWe handle the unglamorous parts too: KYB and counterparty checks, contracts, shipping, and settlement.\n\nIn our first month, $300M+ in RFQs ran through the book.\n\n**Why the marketplace comes first**\n\nAsk what an H100 is worth and everyone you call gives you a different answer.\n\nOn Stoa, dealers quote against the same RFQ without seeing each other's bids. Because every RFQ, firm quote, award, and settlement runs through us, we see what the hardware actually trades for.\n\nA quote is an opinion. A settled trade is a receipt.\n\nThat transaction history becomes prices buyers, sellers, and lenders can mark against. Once marks are grounded in settled trades, financing and hedging can follow.\n\nPlatts started printing oil prices in a magazine. Kelley Blue Book began as one dealer's published list of what he'd pay for cars. GPU inventory is still being passed around in forwarded spreadsheets, and Blackwell upgrades are now pushing H100 fleets into the secondary market.\n\nSomeone is going to be the price.\n\n**The team**\n\nWe've known each other for more than ten years. We have founded companies, traded interest rate derivatives, and built trading and pricing infrastructure for oil and gas. Now we're building it for AI hardware.\n\n**Buying or selling?**\n\nIf you're buying GPUs or compute, or you're sitting on hardware, sign up at [stoaexchange.com](http://stoaexchange.com).\n\n**Schedule a call: [https://stoa.cal.com/stoa/intro](https://stoa.cal.com/stoa/intro)**\n\n**Email us: [founders@stoaexchange.com](mailto:founders@stoaexchange.com)**\n\n**Text or call us:** +1 510 605 3844\n\nAnd if you know infrastructure heads at neoclouds or data centers, hyperscaler capex teams, dealers, ITADs, or credit desks lending against GPUs, please send this their way.\n\nBerat, Eren & Kaan", "url": "https://www.ycombinator.com/launches/SDZ-stoa-the-market-behind-ai-hardware", "votes": 779, "created_at": "2026-07-31T12:13:42.502Z" } ] }, { "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": 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": 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": 32650, "name": "Risklytics", "slug": "risklytics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/879622d4fa103941586542ac659eaf9b60d897f0.png", "website": "https://www.risklytics.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Risklytics is the insurance company for frontier tech such as physical AI, robotics, and data centers. Companies answer 6 questions and we bind a tailored policy that other insurance companies won’t.", "one_liner": "AI-Native Insurance for Frontier Tech", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1783123197, "tags": [ "Hardware", "Machine Learning", "B2B", "Insurance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Fintech", "Insurance" ], "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/risklytics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/risklytics.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/risklytics", "x_url": "https://x.com/Risklytics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/879622d4fa103941586542ac659eaf9b60d897f0.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": 2973325, "full_name": "Samuel Gold", "title": "Founder/CEO", "founder_bio": "Founder at Risklytics (YC S26). Building a brokerage for frontier tech. On leave from Harvard.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samuelggold", "x_url": "https://x.com/SamGGld", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b99591b78044a8c663b7b4eb65a1fe000a6bb179.jpg" }, { "user_id": 2666435, "full_name": "Alexander Risio", "title": "Founder/CTO", "founder_bio": "Founder at Risklytics (YC S26). Building a new type of insurance brokerage.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexanderrisio/", "x_url": "https://x.com/alexrisio", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dc585a4120c666a66e51d372101b7f5ed304f437.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110197, "title": "Risklytics: Insurance for the Frontier", "tagline": "Insurance for companies pushing the frontier of what is possible with AI, from robot fleets to agents in production.", "body": "**TLDR:** Risklytics is a commercial insurance brokerage for companies building with AI in the physical space, from robot fleets on customer sites to agents running in production. This year many insurance companies stopped covering risks that involve AI. We find the insurers that will still cover it, translate what you're building into terms they can price, and read every clause before anything is signed.\n\n\n\n**The problem**\n\nStarting this year, many insurance companies began excluding coverage for injury and property damage arising out of AI.\n\nFor a hardtech company that language reaches everything you do. If AI touched the work anywhere, including the tools your engineers designed it with or the product itself, the insurer can deny the claim.\n\nThe problem with these exclusions is that they get added account by account, so the same hardware can be covered at one insurer and excluded at the next, and nothing in the process makes that obvious. It shows up as a form number on the endorsement list attached to your renewal, which is why most founders don't learn they have one until they file a claim.\n\n**Why now**\n\nPhysical AI is scaling faster than the insurance market underneath it. Insurance moves slower, and its first instinct with an unfamiliar risk is to exclude it and wait for loss data. Cyber went the same way: exclusions first, then specialists who understood it, then a real market. AI is at the exclusion stage now, and these companies pushing the frontier can't wait for the cycle to finish on its own. \n\n**What we do**\n\nWe handle the whole coverage process end to end.\n\nYou send us an application. We take what you're building and put it in terms an insurance company can understand and price.\n\nThen we go to market. We have access to hundreds of insurance companies, the ones that actually write this kind of risk, and we take your file to them. Most will pass. The few that want it compete on price and terms, and we keep shopping until every requirement you have is met, including the limits your customer contracts demand.\n\nWhen offers come back we read the policies line by line. If an AI exclusion is attached, we push to get it removed, or we find a company that writes the AI coverage in on purpose. Then we tell you in plain terms what you've got.\n\nWe cover the lines your company actually needs: general liability, umbrella, property, equipment in transit and on customer sites, workers' comp, professional liability, management liability, and cyber.\n\nYou never pay us. The insurance company pays us a commission out of the premium when a policy is placed, so applying costs you nothing and there's no additional fee from us at any point.\n\n**Where this goes**\n\nPhysical AI is expanding faster than any industry, and every company in it buys insurance every year for as long as it exists. The programs grow as the fleets grow.\n\nWe want to be the brokerage that grows with them: the people who know this risk best, hold the relationships with the markets that write it, and build the loss data of the future.\n\n**Why us**\n\nWe're Sam and Alex, on leave from Harvard. We were already in insurance building models when we noticed that batch mates building some of the most innovative technology in the world couldn't get covered at all. Since then we’ve landed partnerships to offer these frontier companies easier access to better policies.\n\n![uploaded image](/media/?type=post&id=110197&key=user_uploads/2666435/74c5c462-a2ff-44b8-ac6c-f8ebc7807dbd)\n\n\n**The ask**\n\nIf you're building anything on the frontier, apply at[ risklytics.ai](http://risklytics.ai). It takes a few minutes, it costs nothing, and we'll come back with what the market says.\n\nIt doesn't matter what you have in place today. If you're building, we want to get you covered.\n\nAnd if you're an insurer, MGA or wholesaler with appetite here, we want to talk:[ risklytics.ai/markets](https://www.risklytics.ai/markets/)", "url": "https://www.ycombinator.com/launches/SfN-risklytics-insurance-for-the-frontier", "votes": 53, "created_at": "2026-08-13T16:30:00.597Z" } ] }, { "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": 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": 33046, "name": "CarSignal", "slug": "carsignal", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/adebdc425b676af3d7f53e7ba2ba70bd7359f2f7.png", "website": "https://www.trycarsignal.com", "all_locations": "San Francisco, CA, USA", "long_description": "CarSignal is the AI-native operating system for independent auto repair shops.\r\n\r\nMost shops still run each repair across disconnected management software, scan tools, parts catalogs, service information, texts, spreadsheets, and knowledge kept in technicians’ heads. That fragmentation slows diagnosis, creates duplicate processes, and leaves customers waiting.\r\n\r\nCarSignal connects the full repair process in one system. AI agents research vehicle-specific failure patterns and surface the tests that confirm or rule out each cause. The same system carries each job from booking and intake through inspections, estimates, parts, approvals, payment, and follow-up, so technicians spend less time searching and updating systems and more time fixing cars.", "one_liner": "The AI Operating System for Auto Shops.", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1785653742, "tags": [ "Hardware", "SaaS", "B2B", "AI", "Automotive" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/carsignal", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/carsignal.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/adebdc425b676af3d7f53e7ba2ba70bd7359f2f7.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": 3650329, "full_name": "Michael Muzzin", "title": "Founder/CEO", "founder_bio": "Founder at CarSignal (YC S26). Previously electrical engineering at NVIDIA, he authored the Factory Failure Disposition Guide governing re-qualification of $300M in HGX and DGX datacenter hardware. BSEE, UCLA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mmuzzin/", "x_url": "https://x.com/muzzin_michael", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/916db4a926a764d2aa5180ad114eb41c9395345a.jpg" }, { "user_id": 3485129, "full_name": "Junaid Popalzai", "title": "Founder/CTO", "founder_bio": "founder at carsignal. prev netflix, notion, whatnot, tesla, amazon. eecs @ berkeley", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/junaid-popalzai-8b3753273", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8810a567ae33eca8713595d869e17c62401df9ce.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110407, "title": "CarSignal: The AI Operating System for Auto Shops", "tagline": "Your shop runs on one AI platform: booking, diagnostics, quoting, parts, and payments all in a single loop.", "body": "**TL;DR**:\\\nCarSignal is the AI Operating System for Auto shops. CarSignal provides a complete end to end operating system for mechanics and shop owners. We’re live in over 40 shops across 18 US states and are expanding everyday. \n\n\n\n🤯 **The Problem**\n\nThe average auto repair shop in the US runs across multiple different systems, none of which talk to each other. With over 300,000 of these shops existing in the US, the problem is vast. Owners are trapped paying for a web of complex disjointed software in order to maintain basic functionality. \n\n🛠️ **The Solution**\n\nCarSignal fixes those discontinuities, streamlining recurring tasks that every shop runs daily. We deploy four Agents across the traditional auto shop stack to boost efficiency and lower lift time. A voice agent is deployed as the shop's receptionist, a custom OBD-II scanner provides factory level context to a diagnostic agent who aids in finding root cause issues in the vehicle. CarSignal also provides an estimate agent who finds real parts and labor times across wholesalers to give accurate estimates instantly, and a marketing agent who keeps track and reminds customers of overdue service and scheduled maintenance.\n\n👋 **Team**\\\nMichael Muzzin - UCLA Electrical Engineering, ex-Nvidia\n\nJunaid Popalzai - UC Berkeley EECS, ex- {Tesla, Amazon, Notion, Netflix}\n\n**Our Ask**\\\nIf you know a mechanic, or are a mechanic, book a demo! We’d love to show you what CarSignal is capable of.\n\ntrycarsignal.com/demo", "url": "https://www.ycombinator.com/launches/Sil-carsignal-the-ai-operating-system-for-auto-shops", "votes": 24, "created_at": "2026-08-17T16:30:09.423Z" } ] }, { "id": 33054, "name": "Lamb Labs", "slug": "lamb-labs", "former_names": [ "LAMb Intelligence" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c5ba47505a760393e85b91acdb4b3933cf8df0a7.png", "website": "http://lamb-labs.com", "all_locations": "San Francisco, CA, USA", "long_description": "Lamb Labs is building Model Processing Units (MPUs), custom AI chips that hardcode LLM weights directly into silicon. Rather than adapting general-purpose processors to run AI models, we're rethinking how LLMs are implemented in hardware to make inference dramatically faster and more energy-efficient.\r\n", "one_liner": "Lightning fast chips with hardcoded AI models", "team_size": 0, "industry": "B2B", "subindustry": "B2B", "launched_at": 1785288921, "tags": [ "Hardware", "B2B", "Semiconductors", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lamb-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/lamb-labs.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lamb-labs/", "x_url": "https://x.com/LambLabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c5ba47505a760393e85b91acdb4b3933cf8df0a7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/59a091ae426afcd919acf389592f0f3391ed83c8.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 726152, "full_name": "Niki Kotecha", "title": "Founder/CEO", "founder_bio": "Founder at Lamb Labs. AI PhD at Imperial College London + I-X Scholar. MEng/BA in Engineering from University of Cambridge. Alan Turing Institute Global Fellowship and 160+ citations", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/niki-kotecha/", "x_url": "https://x.com/KotechaNiki", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9d7169b597815c0e4b02ff12606c162b4c12432b.jpg" }, { "user_id": 3179989, "full_name": "Thomas Lanning", "title": "Founder/CTO", "founder_bio": "Founder at Lamb Labs. Masters in Mathematical and Theoretical Physics from Oxford. Top of his class in undergraduate at Edinburgh University. (Re)discovered the Higgs-boson using ML and CERN data. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/thomas-lanning/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aadf202207708e0feff18ade84592a81efb19f2f.jpg" } ], "jobs": [ { "id": 116541, "title": "Founding AI Accelerator Architect (Research & Hardware Co-Design)", "url": "https://www.ycombinator.com/companies/lamb-labs/jobs/QfZbNOf-founding-ai-accelerator-architect-research-hardware-co-design", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "£60 - £160 GBP", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 116543, "title": "Founding ASIC Engineer (Architecture & RTL)", "url": "https://www.ycombinator.com/companies/lamb-labs/jobs/cW2pB1O-founding-asic-engineer-architecture-rtl", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "£60 - £160 GBP", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 108778, "title": "Lamb Labs: Custom Chips for AI Inference", "tagline": "Co-designed models and silicon: we hardcode the model architecture into chips targeting 20,000+ tokens per second and 63x higher intelligence per watt.", "body": "**Hi Everyone!** \n\n**We’re Niki and Thomas - cofounders of Lamb Labs.**  \n\n**TL;DR: We build custom AI inference chips that run inference at 20,000+ tok/s and 63x higher intelligence per watt than a traditional GPU. Fully local and private by construction, no subscriptions, no API costs.** \n\n**Our mission: the world’s fastest LLM at the lowest power.** \n\n\n\n**Our hot take: AI models are finally getting good enough to hardcode them directly into silicon.** Once you stop treating the chip as a general-purpose GPU and burn a specific model into hardware, inference gets radically faster and cheaper per watt. Most of the industry is still building flexible, general chips. We think that flexibility is exactly what's wasting your energy. So we’re on a mission to reduce the energy footprint of AI. \n\n**The Problem**\n\nAI is taking power on two fronts: concentrating control of data and intelligence, and consuming ever more electricity to grow. That future scares us, so we're building against it.\n\nHere's the technical root of the waste: **GPUs burn most of their energy during inference moving data, not computing.** LLM/VLM inference is memory-bound, fetching a weight from memory costs \\~100–1000x the energy of the arithmetic you do with it. So you underutilize the GPU you paid for: some GPUs only hit 20–40% compute utilization during LLM inference while the rest idles waiting on memory.\n\nCloud hosting adds its own tax: expensive per-token bills, latency you can't control, network dependencies, and your data leaving your control.\n\n**Our Solution**\n\nWe build the model and the chip together. \n\nThe Hardware Layer\n\n* **Custom architecture, RL-tuned.** We built an RL environment that co-designs the chip architecture for a given model, optimizing directly for speed and energy per token.\n* **Aggressive quantization.** Removes complex math, which shrinks the size and cost of the chip.\n* **Weights on-chip.** The model weights live where the compute is overcoming the memory-bandwidth bottleneck\n\n \n\nBecause everything is hardcoded, it's fully local and secure by construction. No connectivity dependency, nothing leaves the device.\n\nThe Software Layer \n\nDesigning the chip led us to solving a fundamental flaw in LLMs so we are now open-sourcing a new model next week, converted from another open source model, to run 2x faster on any hardware. Come back next week for part 2 of our launch to find out more….\n\n**Our Ask**\n\nIf you answer \"yes\" to any of these, we'd love your help:\n\n* **Are you paying for inference in watts, not just dollars?** Neocloud or private DC operators who are power- or hardware-cost-bound rather than demand-bound, talk to us.\n* **Do you need inference where the cloud isn't an option?** Private AI deployments, regulated, air-gapped, sovereign, or bandwidth-starved deployments.\n* **Do you want to deploy the fastest AI models in your stack?** High frequency trading, agentic workflows \n* **Are you stuck on a thermal or battery budget?** Robotics, wearables, consumer AI hardware where a Jetson-class part is over-provisioned and runs too hot.\n* **Can you introduce us to anyone above?** Warm intros are the single most useful thing.\n\nContact us at [contact@lamb-labs.com](mailto:contact@lamb-labs.com)", "url": "https://www.ycombinator.com/launches/SIU-lamb-labs-custom-chips-for-ai-inference", "votes": 64, "created_at": "2026-08-03T04:56:33.889Z" } ] }, { "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": 33573, "name": "hardware intelligence", "slug": "hardware-intelligence", "former_names": [ "Viki", "hi", "Hardware Intelligence" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c2193e7412febe2e812491e1a73617bb09eb897.png", "website": "https://hardwareintelligence.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Hardware Intelligence makes chip design tools that cut simulation and debugging time by an order of magnitude. When a chip test fails, engineers need a recording of every internal signal - a waveform. We’ve developed WaveZip, which captures waveforms 500x smaller with 200x less overhead, and Wave, which beats frontier models on industry chip debugging benchmarks. We’re Rishov Sarkar (Georgia Tech Ph.D. in chip simulation) and Athreya Anand (ex-Google, M.S. ML/AI), YC S26. https://hardwareintelligence.ai", "one_liner": "AI tools for the chips your AI runs on", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1784052551, "tags": [ "Developer Tools", "Hardware", "Enterprise Software", "Semiconductors", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hardware-intelligence", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/hardware-intelligence.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hardwareintelligence/", "x_url": "https://x.com/hwintelligence", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c2193e7412febe2e812491e1a73617bb09eb897.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/84867b76e94b5d17051762179fca04132eaaa7be.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c8cf823528ccb123bf55a70cc8e1a177803988de.png" ], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 551607, "full_name": "Athreya Anand", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Hardware Intelligence. Athreya was a tech lead at Google where he led AI efforts across orgs from agentic workflow management tools to prediction models for Google Ventures. He has a Master's from Georgia Tech in Machine Learning and A.I., with technical expertise in agentic tools and chip design through his time at Google, AWS Inferentia, and Tesla. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/athreyaanand", "x_url": "https://x.com/athreyaanand", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d015fb0c86a6bdae44f5b5c36e2b3d18f086454a.jpg" }, { "user_id": 2565323, "full_name": "Rishov Sarkar", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Hardware Intelligence. Rishov graduated with his PhD in Electrical & Computer Engineering from Georgia Tech with six published first-author/co-first-author conference papers, including one best paper runner-up. He also developed simulators for AMD's AI Engine accelerator and worked on LLVM-based compilation flows at Siemens EDA. He earned his MS and BS in Computer Engineering from Georgia Tech.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rishovsarkar/", "x_url": "https://twitter.com/ArkaneMoose", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d7666af58a4a49fbf9b8355cdffcb981f5df6505.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 107661, "title": "hardware intelligence: AI tools for the chips your AI runs on", "tagline": "Bringing the $20B chip tooling industry into this decade", "body": "---\n\n---\n\n**Update:** We’ve just launched our second tool, WaveZip - a genuine breakthrough method for capturing and storing waveforms. Read more at \n\n---\n\n---\n\n\n\n—\n\nWe’re Athreya and Rishov - the founders of [@hardware intelligence](https://bookface.ycombinator.com/company/33573). We’re here to pick a fight with the $20B industry whose debuggers suck and won’t open until an ancient license server gives it permission.\n\n**TL;DR: Our first product, Wave, is a SOTA waveform debugger that lives completely in the terminal, built for the agentic era.** An agent can jump you to the moment a design breaks, drag in waveforms and manipulate them, trace bad signals to its source and even prove its fix against the simulation - all visual. We allow teams to build better chips in less time.\n\n**The quick ask:** If you or anyone you know builds or verifies chips (ASICs/FPGAs), please email us! We would love to talk :)\n\n\n\n❌ **The Problem**\n\nThe AI boom is a chip boom - more companies and teams than ever are designing silicon. However, the reality is hardware is not software: you can’t patch a chip after it ships. A bug that reaches manufacturing can be a nine-figure mistake. That’s why **companies spend 70% of the entire chip design process just on verification**.\n\nHardware verification engineers run thousands of simulated tests first on their code (simulation) which typically can take **hours to days**. If one of these tests fail, debugging means reading a waveform - a log of every signal, millions of ticks long, hiding the tick where a value went wrong. It’s literally a needle in a haystack… a big haystack. It’s common for these waveform files to be several gigabytes large. **Finding this needle is the single largest activity in verification.**\n\n**The current tools are dinosaurs.** 20-year-old GUIs behind license servers whose seats run six figures a year sold by our favorite incumbents: Synopsys, Cadence, and Siemens. Free tools are even worse.\n\n![uploaded image](/media/?type=post&id=107661&key=user_uploads/551607/fd100b13-f0dd-45f0-8ee4-395edf96fcae)\n\nYes. This is from 2026.\n\nSoftware engineers got coding agents. Chip engineers got a queue for a license and whatever this is.\n\n👋 **What Wave actually does**\n\n![uploaded image](/media/?type=post&id=107661&key=user_uploads/551607/a75818b0-b001-466b-9586-705d26deb5f9)\n\nWave is the first of its kind! **A fully terminal-native waveform debugger with a verification agent built in.** Wave opens files before Verdi, the industry-standard viewer, finishes its license check. Let’s do a quick dive!\n\n![uploaded image](/media/?type=post&id=107661&key=user_uploads/551607/ac7e5c75-8abb-4a6d-881f-a2a9b883a8b3)\n\n**Why the terminal?** Surprisingly, most hardware engineers are terminal power users - typically doing all their coding in Vim. We wanted to meet them where they are and make our product extremely intuitive to use - we even employ Vim bindings across the interface.\n\n![uploaded image](/media/?type=post&id=107661&key=user_uploads/551607/d4063fbc-2f57-4b5c-a421-bfaa697433d6)\n\n**Ask in plain english.** _Why is a wave x at 12.4us?_ The agent will pull in signals, act on them and trace the root cause. Everything happens in front of your eyes.\n\n![uploaded image](/media/?type=post&id=107661&key=user_uploads/551607/8f37dd5c-22f0-4271-b665-a096c5dbfbd2)\n\n**Pick your fix and see it.** Wave will propose different approaches with tradeoffs. The definition of “best” in hardware design depends on the use case. Maybe you want to optimize for performance? Maybe for power? Pick the one for you! Wave re-simulates and re-reads the new waveform. See a diff of how the waveform changed and a visual indication of where the fix was implemented.\n\n![uploaded image](/media/?type=post&id=107661&key=user_uploads/551607/b0875bc9-fb55-4275-8c7e-11f926bc597d)\n\nNow watch it fix a bug end to end with Rishov!\n\n\n\n🙏 **Asks & Offers**\n\nIf you design chips or lead a team, email us! We’d love to work with you and speed up your RTL development.\n\nKnow someone who does? Email us!\n\nJust want to chat about hardware? **EMAIL US!!**\n\n👬 **The Team**\n\nWe met in our freshman dorm at Georgia Tech nearly a decade ago! We became best friends and roommates for all four years of college - after, Athreya went to NYC to work at Google and Rishov stayed to do his PhD. We promised each other that once we’re free, that we’ll go all-in and work on something we’re passionate about together. Turns out, Rishov’s deep PhD thesis on chip simulation and compilers was the perfect spark.\n\nToday we announce our company and are roommates once again ❤️\n\n![uploaded image](/media/?type=post&id=107661&key=user_uploads/551607/eef30a82-c606-494a-a093-3649920c7857)\n\n—\n\nSay hi 👋 [hi@hardwareintelligence.ai](mailto:hi@hardwareintelligence.ai) · [hardwareintelligence.ai](http://hardwareintelligence.ai)\n\n[@Athreya Anand](https://bookface.ycombinator.com/user/551607) · [athreya@hardwareintelligence.ai](mailto:athreya@hardwareintelligence.ai)\n\n[@Rishov Sarkar](https://bookface.ycombinator.com/user/2565323) · [rishov@hardwareintelligence.ai](mailto:rishov@hardwareintelligence.ai)\n\nP.S. Wave is just the start 👀 We got some super cool things coming to close the loop of hardware engineering. ", "url": "https://www.ycombinator.com/launches/S0T-hardware-intelligence-ai-tools-for-the-chips-your-ai-runs-on", "votes": 50, "created_at": "2026-07-27T16:00:24.675Z" } ] }, { "id": 33838, "name": "Simantic", "slug": "simantic", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/12eef74104b6e57636a6f0d2305e3a2d18d5c2e5.png", "website": "https://simantic.com", "all_locations": "Waterloo, ON, Canada", "long_description": "Simantic is modernizing the embedded firmware industry with hardware simulation developed for the adoption of AI in hardware engineering. Simantic gives both humans and AI the visibility into hardware previously limited by the physical world.", "one_liner": "Firmware simulation for AI agents", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1782327485, "tags": [ "Developer Tools", "Hardware", "Semiconductors", "Electronics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/simantic", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/simantic.json", "year_founded": 2025, "city": "Waterloo", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/simantic", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/12eef74104b6e57636a6f0d2305e3a2d18d5c2e5.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": 3082935, "full_name": "Seungmin Hong", "title": "Founder/CEO", "founder_bio": "Founder at Simantic (YC F26). Previously firmware engineer at Tesla, Simbe Robotics, and Rapyuta Robotics. ML at Ericsson. BASc Computer Engineering from University of Waterloo.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shong0504", "x_url": "https://x.com/shong0504", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dc234bdf0e7d060cf24bf13d252ce7311c2e3ce0.jpg" }, { "user_id": 3729139, "full_name": "Ahnaf Shahriar", "title": "Founder/CTO", "founder_bio": "Founder at Simantic (YC F26). Previously Embedded Software Engineer at Neuralink (Implant/Charger) and AI Hardware Engineer at Tesla (Dojo/Autopilot). Computer Engineer from the University of Waterloo.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ahnaf-s", "x_url": "https://x.com/enough_ahnaf", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7d91d8988fc211a1d486d15228c422801d7cf268.jpg" } ], "jobs": [ { "id": 98191, "title": "Lead Simulation Researcher (Electronics / Firmware)", "url": "https://www.ycombinator.com/companies/simantic/jobs/UKriFvb-lead-simulation-researcher-electronics-firmware", "location": "Waterloo, Ontario, CA / San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$200K - $300K", "equity_range": "2.00% - 5.00%", "experience": "6+ years", "visa": "Will sponsor", "skills": [ "Assembly", "C", "C#", "C++", "Verilog", "GPU Programming", "Firmware", "FPGAs" ] } ], "news": [ { "title": "Simantic scales from Waterloo startup to global AI hardware innovator | Waterloo News | University of Waterloo", "url": "https://uwaterloo.ca/news/simantic-scales-waterloo-startup-global-ai-hardware", "date": "Jul 31, 2026" } ], "launches": [] }, { "id": 34862, "name": "Saccade", "slug": "saccade", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/751432518cccc3177c9fa321a442fcfaf7e00fdd.png", "website": "https://saccade.health", "all_locations": "San Francisco, CA, USA", "long_description": "Alzheimer's testing today is bottlenecked around the onset of symptoms, when the damage is already done. Current treatments, including the FDA-approved drugs released in 2024, don't reverse the disease; they only slow it down. Earlier detection means earlier intervention.\r\n\r\nEye movement changes linked to Alzheimer's surface sooner than any other biomarker, up to 15 years before symptoms appear.\r\n\r\nWe deliver a 15-minute VR assessment delivered to patients in longevity clinics:\r\n• Tasks: patients perform visual tasks designed by neurologists to trigger a distinct oculomotor response in people with Alzheimer's or on its path\r\n• Hardware: our patent-pending attachment connects to any VR headset on the market and captures these eye movement patterns.\r\n• Analysis: the patterns are compared against our ML model to produce a risk analysis.\r\n\r\nOnce classified, patients can access new interventions, such as the FDA-approved drugs. They're also referred to longevity practices, neurology practices or both, depending on their stage of decline.\r\n\r\nTesting for the earliest biomarkers allows the earliest possible intervention. In some cases, that slows the disease enough that patients outlive the onset of symptoms and never face memory loss in their lifetime.", "one_liner": "World's Earliest Test for Alzheimer's Biomarkers", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Consumer Health and Wellness", "launched_at": 1791296673, "tags": [ "Hard Tech", "Hardware", "Machine Learning", "B2B", "Healthcare" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Healthcare", "Consumer Health and Wellness" ], "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/saccade", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/saccade.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/saccadehealth", "x_url": "https://x.com/saccadehealth", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Saccade-YC-F26", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/751432518cccc3177c9fa321a442fcfaf7e00fdd.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": 2316918, "full_name": "Shreyas Bhardwaj", "title": "Founder/CEO", "founder_bio": "Founder at Saccade. Prev built medical devices for hospitals; soft robotics researcher", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bhardwajshreyas/", "x_url": "https://x.com/shreyasbhardwj", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/60555f50c4d0f03a61fcc2d5ac9eb26a042d362a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 121747, "title": "Saccade: World's Earliest Test for Alzheimer's Biomarkers", "tagline": "World's Earliest Test for Alzheimer's Biomarkers", "body": "**TL;DR:** Saccade is a 15-minute VR test that catches Alzheimer’s biomarkers earlier than ever before. That lets people start lifestyle changes and new FDA-approved drugs years sooner, when they work best. Sometimes that pushes symptoms past life expectancy, so they never show up. \\\nWe’re live in San Francisco clinics, testing people in their 30s and older for early risk indicators. \\\nYou can book a test at [saccade.health](http://saccade.health) today.\\\n\\\n\n\n**Problem**\\\nCurrent Alzheimer's testing only screens patients after clear symptoms appear, at which point an individual has already suffered significant cognitive decline. New FDA-approved drugs have been proven to slow this decline, but not reverse it. By the time most people get their diagnosis, they've missed their best window to act.\n\n**Insight**\\\nEye movement changes linked to Alzheimer's can be detected up to 15 years before symptoms appear - earlier than any other markers we can screen for. Our product is designed to service those exact changes, giving patients the insight they need to act now.\n\n![uploaded image](/media/?type=post&id=121747&key=user_uploads/2316918/a60db064-10c6-4ca0-bd9c-29389ea2ef4f)\n\n**Product**\n\n* **Tasks:** users complete visual tasks designed by neurologists that trigger distinct oculomotor responses in people with early-stage, pre-symptomatic Alzheimer's\n* **Hardware:** our patent-pending attachment connects to any VR headset on the market and captures high-precision recordings of eye movement patterns.\n* **Analysis:** the patterns are analyzed by our proprietary ML model to produce a risk score.\n\n**Next Steps for Patients**\\\nOnce classified into one of three risk categories, patients can start interventions ranging from preventative longevity practices, further neurological evaluations, and new FDA-approved drugs. Starting treatment early can significantly slow the progression of the disease, allowing some patients to outlive the onset of symptoms and never suffer from memory loss in their lifetime.\n\n**Get tested today: Sign up at [saccade.health](http://saccade.health) and schedule a screening today.**\n\n**Asks**\\\nIntros to US longevity practices and clinics that want to offer early Alzheimer’s testing to their patients. The test takes 10 minutes. I’m happy to meet in person: [shreyas@saccade.health](mailto:shreyas@saccade.health)\n\n![uploaded image](/media/?type=post&id=121747&key=user_uploads/2316918/51c6bcc9-d56f-4332-be61-510f5525d259)\n\n", "url": "https://www.ycombinator.com/launches/Vff-saccade-world-s-earliest-test-for-alzheimer-s-biomarkers", "votes": 6, "created_at": "2026-10-13T18:00:00.187Z" } ] }, { "id": 35128, "name": "Talos", "slug": "talos-us", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/adf2f2d3e67de554b1df8a77cdc1d6dd943928ec.png", "website": "https://www.talos-us.com/", "all_locations": "Baltimore, MD, USA", "long_description": "At Talos, we are building better, more modern predictive maintenance for the power industry with a focus on large transformers. Our devices continuously monitor critical power equipment and detect problems early on using anomaly-detection models. For each fault, we provide detailed analyses of the problem, exactly where and why it happened, as well as next steps teams should take. ", "one_liner": "Predictive maintenance for power infrastructure.", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1787763466, "tags": [ "Deep Learning", "Hardware", "IoT", "Energy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/talos-us", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/talos-us.json", "year_founded": 2026, "city": "Baltimore", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ustalos/home/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/adf2f2d3e67de554b1df8a77cdc1d6dd943928ec.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Kulveer Taggar", "url": null }, "founders": [ { "user_id": 3578807, "full_name": "Amitav Kohli", "title": "Founder/CEO", "founder_bio": "Founder at Talos. Currently studying Electrical and Computer Engineering at Carnegie Mellon, where he designs power systems for CMU's flagship disaster response snake robots in the Biorobotics Lab. Previously interned at Constellation Energy working on power engineering and predictive maintenance systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/amitav-kohli", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2e66d2682bddfe16b77ad76d8757d605b29d390c.jpg" }, { "user_id": 3599718, "full_name": "Kevin Hwang", "title": "Founder/CTO", "founder_bio": "Founder at Talos. Undergraduate researcher at Johns Hopkins School of Medicine, designing transformer-based foundation models for physiological waveforms using 100+ TB of ICU data. Published 3 papers (100+ citations, NeurIPS Workshop) on few-shot GPT-4 prompting for question generation. BS Computer Science & Applied Math at Johns Hopkins.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kevin-hwang-jh/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3fc2d67cf1bbc75f880d1983e3f94ea3f7c67408.jpg" }, { "user_id": 3099707, "full_name": "Himani Musku", "title": "Founder/COO", "founder_bio": "Founder at Talos. Studying CS at Carnegie Mellon. Previously conducted AI research with MIT Lincoln Laboratory (first-author IEEE paper), UChicago, and Northwestern. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/himani-musku/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f87365bc7c1c512cea1fd8496fe7c74a3ee0c216.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35392, "name": "Dydema", "slug": "dydema", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/85eacc9eef1101a2060cf6b9873797fd43445325.png", "website": "https://dydema.com/", "all_locations": "San Francisco, CA, USA", "long_description": "We’re building a brain-computer interface anyone can wear, so you can use a computer at the speed of thought. To get there, we’re recording brain data at model company scale.", "one_liner": "A consumer brain-computer interface you can map to anything.", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1790760468, "tags": [ "Hardware", "Neurotechnology", "Consumer", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Consumer" ], "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/dydema", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/dydema.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dydema", "x_url": "https://x.com/DydemaNeuro", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/85eacc9eef1101a2060cf6b9873797fd43445325.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": 2801705, "full_name": "Julian Weaver", "title": "Founder/CEO", "founder_bio": "Founder & CEO at Dydema. We're the model company for neurotech. Prev. founding engineer at Syntra (YC S24). Led EEG/fMRI AI research, dual BS in CS and neuroscience @ age 20, UT Austin.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/julian-weaver/", "x_url": "https://x.com/real_juliver", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/72c5843bb2a1b13ad8c4e88550b29be6e3e22009.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": 35456, "name": "Lucebox", "slug": "lucebox", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/398710e85d03147369f3aa9dc04488ccb8c9c530.png", "website": "https://www.lucebox.com/", "all_locations": "Milan, Lombardy, Italy", "long_description": "Lucebox makes workstations for local AI inference. They're private, always-on machines that arrive with Lucebox's inference engine installed and tuned, so developers point Claude Code, Codex or OpenCode on their own hardware. Lucebox is building toward a new category of self-improving personal AI computers that learn from the work you do every day, training small models on your own context until they're faster and better than the cloud at your tasks. The engine is open source, with 2.9K stars on GitHub and 95K+ downloads on Hugging Face.", "one_liner": "Self-improving inference workstation", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer -> Consumer Electronics", "launched_at": 1791469959, "tags": [ "Hardware", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2027", "status": "Active", "industries": [ "Consumer", "Consumer Electronics" ], "regions": [ "Italy", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lucebox", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2027/lucebox.json", "year_founded": 2025, "city": "Milan", "country": "IT", "linkedin_url": "https://www.linkedin.com/company/lucebox", "x_url": "https://x.com/luceboxai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Luce-Org/lucebox-hub", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/398710e85d03147369f3aa9dc04488ccb8c9c530.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": 588754, "full_name": "Alessandro Puppo", "title": "Founder/CEO", "founder_bio": "Building Lucebox, P25 Alum", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alessandro-puppo/", "x_url": "https://x.com/pupposandro", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b0c17a7ec88b4d1a4ba7966429ea37247401e0c.jpg" }, { "user_id": 595681, "full_name": "Davide Cifarelli", "title": "Founder", "founder_bio": "Building self-improving computers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/davide-cifarelli/", "x_url": "https://x.com/davideciffa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7e8397f4dd14713e64fa4b014ff56501cb04c46d.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. 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We’re building an AI-native PCB design tool that helps engineers turn ideas into working electronics faster and more reliably.\n\n**Demo: [https://www.youtube.com/watch?v=JByTuaHHHGg](https://www.youtube.com/watch?v=JByTuaHHHGg)**\n\nMandatory GIF:\n\n![uploaded image](/media/?type=post&id=120163&key=user_uploads/501763/ddae1ba4-75e5-43a7-9a30-fe4fa392848f)\n\n**Problem we’re solving**\n\n* **PCB design is slow and manual:** Engineers can spend weeks reading datasheets, finding components, drawing schematics, and routing connections on traditional design tools. \n* **Design mistakes are expensive:** A design error that only gets surfaced _after_ fabrication can require redesigning and manufacturing the board again, adding weeks/months of delay and cost.\n* **Requires expertise:** Good board design takes years of experience to master, so many smaller companies can't do it in-house. Resin makes it accessible to experts and non-experts (including hobbyists) alike.\n\n**How Resin solves this problem**\n\nResin brings AI into a complete ECAD workspace to increase engineering velocity & design reliability:\n\n* **Draft and review schematics:** Describe your requirements. Resin researches parts, drafts schematics, and documents its design decisions. It also reviews existing designs to help catch mistakes before manufacturing.\n* **Find or generate any part:** Tell Resin which component you need. It searches millions of parts, analyzes them deeply and generates accurate symbols and footprints.\n* **Route boards:** Connect selected signals or your whole board with our proprietary routing engine. We’re especially excited about this one!\n* **In the cloud and collaborative:** Resin runs fully in the cloud, and allows seamless collaboration across multiple users!\n* **Prepare for manufacturing:** Check component pricing and availability, manage your bill of materials, and export manufacturing files.\n* **Stay in control:** Resin is a complete EDA workspace with full schematic, PCB tooling (**and not a mere chatbot!**). Users can delegate entire workflows to AI or get hands-on with individual components, connections, and traces. Every AI change is editable and auditable.\n* **Bring existing work into Resin:** We have full support for project & library imports from Altium & KiCad so you can continue existing projects in Resin! There are more integrations on the way!\n* **MCP compatible:** Work from Claude Code, Codex, etc.\n\n**Team**\n\nWe’ve been long time friends — we met in college where we studied Engineering Physics together! Koosha has tons of electronics and hardware experience, having designed very complex hardware at Bosch, Kodak, IHS. Anmol mostly recently led the FDE team at [you.com](http://you.com) and was an early member at various successful AI startups.\n\n**Our Asks**\n\n**Are you or your team building hardware with PCBs? Sign up with this link to get started with some bonus credits [https://resineda.com/signup?promo=YC2026](https://resineda.com/signup?promo=YC2026)!** We’ll reach out for an onboarding!\n\n**Know someone who designs electronics? We’d love intros** to other founders, electrical engineers, hardware leads whether they’re building robots, drones, medical devices, industrial equipment, or consumer products. \n\n**Contact**: Email [anmol@resineda.com](mailto:anmol@resineda.com), text 415 425 4809, or DM me on bookface!", "url": "https://www.ycombinator.com/launches/VG7-resin-codex-for-electronics", "votes": 2, "created_at": "2026-10-07T17:00:00.135Z" } ] }, { "id": 36180, "name": "Vexo", "slug": "vexo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/16f5a22fcf5a6680c6393b3e9a8d4a4c477c2f10.png", "website": "https://www.vexoai.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Every AI today waits for a prompt. Vexo already has the context: the restaurant a friend mentioned, the intro you promised, the idea you had on a walk. 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Electronics & miniaturized hardware @ EPFL. Previously @ Oracle, @UC Berkeley & @CentraleSupélec.\n\nWon YC Call-My-Agent-Hackathon with 90+ participating teams coming from all over the world.\nBuilt a Music Gen B2B startup and sold models to top artists in Morocco/Switzerland.\nPublished a preprint Inflation nowcasting paper cited by Bank of settlements, Bank of Italy and biggest economic institutions worldwide", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adam-zinebi-454a99222/", "x_url": "https://x.com/AdamZinebi1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eaaaa97b426b27d133b106e1af6ded3482825c86.jpg" }, { "user_id": 2623955, "full_name": "Thomas Kiefer", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO of Cyclon (YC F26). Prev. Android at Google, Stanford, ETH Zurich.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/th0maskiefer/", "x_url": "https://x.com/th0maskiefer", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6f6c1f99680766d1613abf0435a84aefc301ad6c.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 37732, "name": "Hundred", "slug": "hundred", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9f26995d92445a7e77c0839448bb04ca0c89f08.png", "website": "http://hundred.systems/", "all_locations": "San Francisco, CA, USA", "long_description": "Hundred is an automated inspection system for the components that make up consumer devices like phones, smartwatches, and laptops. 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": 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": [] } ]