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How did you decide to be a founder?)", "answer": "Troy and Jake met in at Grove City College outside of Pittsburgh. They lived in the same dorm, played sports together and enjoyed frequent conversations about the world. After initially bootstrapping Gecko, Jake and Troy reconnected and saw the same vision of building a robotics company to solve real challenges in the built world." }, { "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?", "answer": "Jake was unfamiliar with YC before they applied. In the fall of 2016, Troy learned that Kevin Hale was scheduled to be in Pittsburgh promoting the next cohort. Jake and Troy met him and talked through the vision for how Gecko could scale. At the time Gecko was making money but wasn’t yet focused on raising money or the traction it would take to turn the company into a scalable business. Kevin, Jake and Troy talked through that path and Jake and Troy turned in their application almost immediately afterwards. Going through the batch was formative for helping Jake and Troy chart Gecko’s path forward. As the batch was starting they were weighing an acquisition offer but, thanks in large part to the advice they were getting at YC, they decided to reject the offer and build the company together." }, { "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?", "answer": "Yes. Mostly through interactions with Kevin Hale, Jared Friedman, Sam Altman and Jon Levy. " }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "Jake built the world’s first wall-climbing ultrasonic testing robot in 2012. Soon after we were making money but weren’t sure on the path to scale. 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Originally from Ireland, previously I was the founder of Hale, a personal training marketplace and held senior roles at Google acquired ML startup Hello Vera, B2B marketplace Respondent and fintech giant FactSet. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jamesmcwalter/", "x_url": "https://twitter.com/james_mcwalter", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/29a93026281ad6e0eb5bc2f9b3bb3709672ff211.jpg" }, { "user_id": 268279, "full_name": "Charles Bai", "title": "Founder", "founder_bio": "Charles is the co-founder and CTO of Paces. Before Paces, Charles worked on large model inference and led AI efficiency at Meta AI. Prior to that, he built data-intensive software solutions at various different startups. Charles is based in New York and holds a CS degree from Cornell University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/charlesxbai/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a08ad95ffd8816001555a57a551a754647fd693a.jpg" } ], "jobs": [ { "id": 85557, "title": "Enterprise Account Executive", "url": "https://www.ycombinator.com/companies/paces/jobs/pNHUkbx-enterprise-account-executive", "location": "Brooklyn, United States", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$220K - $240K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 90647, "title": "Transmission Planning Engineer", "url": "https://www.ycombinator.com/companies/paces/jobs/8rYFkgW-transmission-planning-engineer", "location": "Brooklyn, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $150K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 90874, "title": "Development Manager", "url": "https://www.ycombinator.com/companies/paces/jobs/MNIhOFw-development-manager", "location": "Brooklyn, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $170K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 91062, "title": "Environmental Engineer", "url": "https://www.ycombinator.com/companies/paces/jobs/2Q4dYpv-environmental-engineer", "location": "Brooklyn, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $140K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92968, "title": "AI Engineer", "url": "https://www.ycombinator.com/companies/paces/jobs/dvpgJX8-ai-engineer", "location": "Brooklyn, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $190K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 95061, "title": "Software Engineer (Junior)", "url": "https://www.ycombinator.com/companies/paces/jobs/D4TGpfL-software-engineer-junior", "location": "Brooklyn, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $160K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 95062, "title": "Software Engineer, Full Stack", "url": "https://www.ycombinator.com/companies/paces/jobs/uMeVsua-software-engineer-full-stack", "location": "Brooklyn, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $190K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 96301, "title": "Head of Engineering", "url": "https://www.ycombinator.com/companies/paces/jobs/LKceoon-head-of-engineering", "location": "Brooklyn, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$220K - $280K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 96642, "title": "Product Manager", "url": "https://www.ycombinator.com/companies/paces/jobs/TBL2Q1w-product-manager", "location": "Brooklyn, United States", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$160K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98460, "title": "Product Marketer", "url": "https://www.ycombinator.com/companies/paces/jobs/xOkPeTb-product-marketer", "location": "Brooklyn, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $160K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 98461, "title": "Software Engineer, Geospatial Systems", "url": "https://www.ycombinator.com/companies/paces/jobs/IEYY2OZ-software-engineer-geospatial-systems", "location": "Brooklyn, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $220K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 103723, "title": "Regulatory Analyst", "url": "https://www.ycombinator.com/companies/paces/jobs/g6ZYekw-regulatory-analyst", "location": "Brooklyn, United States / Remote (US)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$85K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 112544, "title": "VP of Product", "url": "https://www.ycombinator.com/companies/paces/jobs/BSUC30u-vp-of-product", "location": "Brooklyn, United States / Remote (US)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$240K - $300K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Roadmap: The AI data center stack | Bessemer Venture Partners", "url": "https://www.bvp.com/atlas/roadmap-the-ai-data-center-stack", "date": "May 17, 2026" }, { "title": "Aligning Transmission Investment with Development Realities | TD World", "url": "https://www.tdworld.com/overhead-transmission/article/55337693/aligning-transmission-investment-with-development-realities", "date": "Mar 26, 2026" }, { "title": "The rise of the AI-native power developer - DCD", "url": "https://www.datacenterdynamics.com/en/opinions/the-rise-of-the-ai-native-power-developer/", "date": "Feb 22, 2026" }, { "title": "Strategies for de-risking early-stage renewable energy projects – pv magazine International", "url": "https://www.pv-magazine.com/2025/05/06/strategies-for-de-risking-early-stage-renewable-energy-projects/", "date": "May 05, 2025" }, { "title": "Shrinking Site Availability Threatens Renewable Energy Goals: Here's How Developers Can Adapt | EnergyTech", "url": "https://www.energytech.com/renewables/article/55261812/shrinking-site-availability-threatens-renewable-energy-goals-heres-how-developers-can-adapt", "date": "Jan 27, 2025" } ], "launches": [ { "id": 64098, "title": "Paces - Siting and Due Diligence of Green Projects", "tagline": "Paces is software for green infrastructure developers to identify the best places to build and manage their projects", "body": "### **The Problem**\n\n[80% of](https://www.canarymedia.com/articles/transmission/lbnls-nationwide-interconnection-survey-has-good-news-and-bad-news-for-clean-energy) clean energy projects **developers** start never actually get built because most projects are started without deep due diligence on zoning and interconnection due to the cost of collecting that data. This means $17B worth of cancelled projects per year.\n\n### **The Solution**\n\nPaces is software for green infrastructure developers to identify the best places to build and manage their projects.\n\nFirst we collect environmental, permitting, zoning, energy grid data from various different sources; then we analyze the data and use AI to identify the best places for developers to build their next projects. \n\n### **Our Vision**\n\nOur long term vision for Paces is for it to be the **go-to software platform to enable the climate positive development of every piece of land on earth**. With Paces:\n\n* Solar developers can find and track all the sites for their projects.\n* EV charging developers can easily get a ranked list of the best nearby sites to deploy their next 20 charging stations\n* Heavy energy users like Data Centers, Direct Air Capture and Hydrogen plants can find locations with excess electricity\n* Financial firms can evaluate the value and risks of green assets around the world\n\n### **About Us**\n\nPaces was founded by Charles and James in early 2022.\n\n* James is our CEO! He grew up on an organic farm in Ireland and across a 15 year tech career he was employee 1 at an Google acquired AI startup and has millions in career SaaS sales.\n* Charles is our CTO! He grew up in Beijing and completed a CS degree at Cornell. Before Paces, he led AI efficiency at Facebook AI and built [metrics to track power/carbon cost of AI models](https://arxiv.org/pdf/2111.00364.pdf).\n\n### **Contact Us**\n\nIf you are building in the physical worlds, such as solar, wind, battery storage, hydrogen, EV charging, real estate and data centers, please reach out to us at [team@paces.com!](mailto:team@paces.com)", "url": "https://www.ycombinator.com/launches/Gfq-paces-siting-and-due-diligence-of-green-projects", "votes": 46, "created_at": "2022-06-27T16:38:09.514Z" } ] }, { "id": 26801, "name": "Evoly", "slug": "evoly", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/15bd487f1318bd8903bdefa5fe13d9ef7b9e0891.png", "website": "https://www.evolyenergy.com", "all_locations": "Remote, OR, USA; San Francisco, CA, USA; Lausanne, VD, Switzerland; Remote", "long_description": "Evoly makes smart electric & water meters. \r\n\r\nWe save a typical utility over $4M a year.\r\n\r\nElectric and water meter measure your consumption, A smart meter on the other hand not only measure it, it also send this consumption data and a lot more remotely and wirelessly to the utility. \r\n\r\nWe are a plug and play, easy to install, 5 times cheaper smart metering solution.\r\nWe are a B2B company and our customer are the Utilities \r\n\r\nThanks to our software they get 24/7 view on their grid and a wide range of possibilities :\r\n- Remote meter reading\r\n- Detecting fraud \r\n- Turning electricity on and off remotely \r\n- Time of use pricing ", "one_liner": "Smart electric & water meters as a service", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1656952444, "tags": [ "Climate", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "Switzerland", "America / Canada", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/evoly", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/evoly.json", "year_founded": 2021, "city": "Remote", "country": "US", "linkedin_url": "https://www.linkedin.com/company/evolyenergy/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/15bd487f1318bd8903bdefa5fe13d9ef7b9e0891.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 589759, "full_name": "Hassan Lantry", "title": "Founder", "founder_bio": "evoly, McKinsey & Company", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hassan-lantry-008698108/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8b1e0d4ba97134e9d63e92fe94af45ed959deb34.jpg" }, { "user_id": 595265, "full_name": "Sami El Bouari", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sami-el-bouari/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e7688a7c8e918bbce4f26fde33b36e2c1acb08b8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 64320, "title": "evoly — Smart metering as a service", "tagline": "Meet evoly, the only smart metering solution that's easy to deploy", "body": "**TL;DR**\n\nAt **evoly, we make smart meters for electric, water & waste use cases.** Our software helps utilities achieve better energy efficiency & lower costs.\n\nWe're already deployed in Europe & Africa and are looking to find new customers in America.\n\n**Problem**\n\nSmart metering has been around for years, but it has always been very expensive, hard to deploy and heavy on battery usage.\n\nDue to this, more than **65% of utilities in the world still have old gen meters** - they need to be read by a technician on a regular basis to bill you. A Smart meter is an instrumental part when building a smart grid and trying to push for energy efficiency and those challenges are becoming the main priorities as we try to build a greener planet.\n\nOn waste, we help collectors know the exact level of the bins in their city to optimize collection (less CO2 - less travels)\n\n**Solution**\n\nAt evoly we make smart meters easy to deploy. By developing our own hardware leveraging a unique transmission technology: LoRa we are able to offer an **easy to install, 5 times cheaper smart metering solution.**\n\nOur software then helps utilities get 24/7 view on their grid and a wide range of possibilities:\n\n\\- Remote meter reading\n\n\\- Detecting fraud\n\n\\- Turning electricity on and off remotely\n\n\\- Time of use pricing\n\n**Our Story**\n\nDuring the Covid lockdown, we experienced the limit of old gen meters, as technicians could not come and read them to bill every households.\n\nFeeling this pain for the first time ourselves, we tried to solve it in our hometown where we used to go to high school together, before realising that the problem was actually almost everywhere around the globe.\n\nToday we help 8 cities (Europe - North Africa) in this transition and are looking to find our first customers in the US.\n\n**How you can help**\n\n**If you know anyone in the utility space in any country that could find this relevant, please feel free to reach us at** [**founders@evolyenergy.com**](mailto:founders@evolyenergy.com)**. Thank you!**\n\n\\-- Hassan & Sami", "url": "https://www.ycombinator.com/launches/GjQ-evoly-smart-metering-as-a-service", "votes": 21, "created_at": "2022-07-05T11:22:22.097Z" } ] }, { "id": 26807, "name": "MaverickX", "slug": "maverickx", "former_names": [ "Maverick Bioworks", "Maverick BioMetals", "Maverick Metals" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/863f997124ddcf68b9b2129609f950b6485be63f.png", "website": "https://www.MaverickX.com", "all_locations": "Austin, TX, USA", "long_description": "MaverickX is a chemical technology company advancing natural resource extraction. The company was founded by Eric Herrera, former Department of Defense scientist, and Jesse Evans, former startup operations manager. \r\n\r\nAs resources become more difficult to extract across the energy and mining sectors, new technologies are needed. MaverickX has a portfolio of chemical solutions -- PetroX and LithX -- to enhance recovery of oil from shale reservoirs and metals from low-grade ores. \r\n\r\nMore oil. More metal. Better chemistry.\r\n\r\n", "one_liner": "Engineering the future of chemistry for natural resource extraction", "team_size": 30, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1654465495, "tags": [ "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/maverickx", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/maverickx.json", "year_founded": 2022, "city": "Austin", "country": "US", "linkedin_url": "https://www.linkedin.com/company/maverickx-company", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/863f997124ddcf68b9b2129609f950b6485be63f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [], "jobs": [], "news": [ { "title": "MaverickX Pleasanton Facility Reaches Capacity Milestone as PetroX Demand Grows", "url": "https://finance.yahoo.com/sectors/energy/articles/maverickx-pleasanton-facility-reaches-capacity-160100545.html", "date": "Apr 07, 2026" }, { "title": "30 Under 30 Energy & Green Tech 2026: Meet The Founders Recharging Our Energy Future", "url": "https://www.forbes.com/sites/christopherhelman/2025/12/02/30-under-30-energy--green-tech-2026-meet-the-founders-recharging-our-energy-future/", "date": "Dec 05, 2025" }, { "title": "Maverick Metals secures $19M seed funding for copper extraction tech - MINING.COM", "url": "https://www.mining.com/maverick-metals-secures-19m-seed-funding-for-copper-extraction-tech/", "date": "Apr 03, 2025" }, { "title": "Maverick Metals secures $19M seed funding for copper extraction tech - MINING.COM", "url": "https://www.mining.com/maverick-metals-secures-19m-seed-funding-for-copper-extraction-tech/", "date": "Apr 03, 2025" } ], "launches": [ { "id": 95571, "title": "MaverickX: Next-gen chemicals that break rock to unlock valuable natural resources", "tagline": "Now expanding into oil & gas— launching our PetroX product line.", "body": "Hey YC — we’re **Eric and Jesse**, co-founders of **MaverickX**.\n\nMaverickX makes next-generation chemicals that break rock to unlock valuable natural resources — oil and critical metals.\n\nWe started in mining. Now we’ve expanded into oil & gas, launching our PetroX™ product line with multiple major operators already under contract.\n\n![uploaded image](/media/?type=post&id=95571&key=user_uploads/89898/23215d7c-5b15-4672-9408-dadbc92688ad)\n\n**🔥 The Problem**\n\nAmerican energy production has a math problem:\n\n* Only 20% of the oil in unconventional shale wells is recovered – 80% of the oil is still underground\n* Operating costs are projected to rise 40% over the next decade, heading toward $95/BBL\n\nAnd nearly 10% of U.S. oilfield deaths each year are linked to exposure to toxic chemicals still used in daily operations\n\nIt’s one of the biggest “old-tech” sectors left untouched by modern science.\n\n**⚡ What We Built**\n\nMaverickX creates next-gen chemistry that actually removes iron, breaks scale and paraffin, liberates metals and more oil from shale. We reduce operating costs and keep production flowing.\n\nWith PetroX, operators are seeing:\n\n* dramatically cleaner systems\n* lower operating cost\n* reduced downtime\n* safer field operations\n* and the ability to liberate **50%+ more hydrocarbons** in certain shale environments\n\nOur chemistry increases shale porosity by up to 40x, allowing oil to move freely where it previously couldn’t. We aren’t just swapping chemicals — we’re rewriting the physics of the reservoir.\n\n**⛽ Why Oil & Gas?**\n\nOil is the backbone of our modern economy and demand is only projected to increase.\n\nMaverickX started in mining, building better chemistries to extract metals.\\\nThen the Department of Energy contracted us for a wild project:\n\n_“Turn old oil wells into mines. Extract the metals trapped inside.”_ We did it.\\\n\\\nAnd in that process, we discovered something bigger: Our chemistry didn’t just free metals, it freed hydrocarbons — a lot of them. The moment we saw that, we knew we had to expand into oil & gas. Today we operate in South Texas with production-scale manufacturing and contracts for PetroX™ across multiple operators.\n\n# **📣 Call to Action**\n\nIf you operate or know operators of wells, SWDs, or production facilities and want:\n\n* lower operating cost\n* fewer shutdowns\n* better flow\n* safer, non-toxic chemistry\n* or more oil out of the rock you already control\n\n**We want to run a pilot with you.**\n\n👉 Email us: [**founders@maverickx.com**](mailto:founders@maverickx.com)", "url": "https://www.ycombinator.com/launches/OrT-maverickx-next-gen-chemicals-that-break-rock-to-unlock-valuable-natural-resources", "votes": 9, "created_at": "2025-11-19T20:10:33.679Z" }, { "id": 64272, "title": "🔋 Maverick BioMetals extracts lithium with microbes!", "tagline": "We extract lithium better than traditional extraction tech for hard rock assets. ", "body": "TLDR; we use a custom microbe and enzyme to extract lithium from rock at low energy and high recovery rates while producing no waste. \n\nHi, we’re Eric and Jesse. We’re passionate about using biology to solve tough problems and reducing the environmental impact of industry (and saving our customers money along the way).\n\n---\n\n---\n\n### **The Problem**\n\n**Traditional lithium extraction is energy intensive, inefficient and produces tons of waste.**\n\n### **OUR SOLUTION: LITHx**\n\n**We’ve developed a synthetic enzyme that completely solubilizes hard rock ores and extract ALL the metals.** \n\nThis happens at low temperatures, so we don’t use much energy. \n\n### ", "url": "https://www.ycombinator.com/launches/Gie-maverick-biometals-extracts-lithium-with-microbes", "votes": 23, "created_at": "2022-07-01T18:31:29.103Z" } ] }, { "id": 27158, "name": "Jasmine Energy", "slug": "jasmine-energy", "former_names": [ "Jasmine" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f91a6541d69955619d2764e9af07eaf99a2ca8ab.png", "website": "http://www.jasmine.energy", "all_locations": "Washington, DC, USA; Remote", "long_description": "Jasmine makes it easy to register, sell, finance, and retire RECs (renewable energy certificates). Our AI can \"read\" unstructured data (CRM notes, PDFs, images, etc) and use that information to complete webforms and filing document. This takes previously manual error prone process and makes it automatic and self-healing. ", "one_liner": "Claim solar incentives with AI", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1660594604, "tags": [ "Solar Power", "Energy", "Renewable Energy", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Inactive", "industries": [ "B2B", "Operations" ], "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/jasmine-energy", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/jasmine-energy.json", "year_founded": 2022, "city": "Washington", "country": "US", "linkedin_url": "https://www.linkedin.com/company/jasmine-energy/", "x_url": "https://www.twitter.com/jasmine_energy", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Jasmine-Energy", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f91a6541d69955619d2764e9af07eaf99a2ca8ab.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5e9e70ed6fef41c14a8658328426f3fabc78eee7.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 996753, "full_name": "Nathalie Capati", "title": "Founder", "founder_bio": "", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/nathaliecapati-energy/", "x_url": "https://twitter.com/nathaliecapati", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/74a6409c4112f8b3bd2c60fe57c0356130ea3773.jpg" }, { "user_id": 6915, "full_name": "Dalton Combs", "title": "Founder/CPO", "founder_bio": "Minds, Machines, Markets", "is_active": false, "linkedin_url": "http://www.linkedin.com/in/TDaltonC", "x_url": "https://twitter.com/TDaltonC", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/07e30ca7ed274fd37ee0fe1d9e267088543377fd.jpg" }, { "user_id": 421, "full_name": "Matt Mayberry", "title": "Founder", "founder_bio": "on a relentless mission to see what man can make of man 🏴‍☠️", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/matthewmayberry", "x_url": "http://www.twitter.com/mattmayberry", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f3d6164fdd441abfdf9d1f715034fe2f643540aa.jpg" } ], "jobs": [], "news": [ { "title": "Jasmine launches energy trading app", "url": "https://www.axios.com/pro/climate-deals/2023/07/31/jasmine-energy-trading-app", "date": "Jul 31, 2023" } ], "launches": [ { "id": 65777, "title": "Jasmine Energy — Claim Solar Incentives with AI ☀️", "tagline": "Jasmine automates common and confusing workflows, helping solar owners get paid!", "body": "Hi YC!  👋\n\nWe’re Nathalie, Dalton, and Matt from Jasmine Energy.  Today we are proud to launch our latest AI tool to help solar owners claim their incentives.\n\nThe U.S. solar market is booming. It took 50 years to reach 5 million installations—now that number will double to 10 million in just six. 97% of these are on residential and commercial rooftops, yet over 1.7 million homes are missing out on valuable Renewable Energy Certificate (REC) income. Why? Because REC (Renewable Energy Certificate) management is still manual, confusing, and built for utilities—not everyday solar owners. Jasmine Energy changes that. Our AI-powered asset manager puts registration, compliance, and sales on autopilot, making it easy to turn solar generation into recurring income—with just a few clicks.\n\n![uploaded image](/media/?type=post&id=65777&key=user_uploads/421/1c122467-5767-4a4e-b073-e88acd17faf4)\n\n**TL;DR: Jasmine is the first end-to-end REC management platform built for residential and commercial solar. We automate common and confusing workflows—helping solar owners get paid extra for generating clean energy.** \n\n### **The Problem**\n\n**Claiming RECs requires too much overhead for small or independent developers. (it works fine for the utility scale developers who designed it)**\n\nResidential and commercial solar generators lose time and money navigating an outdated, fragmented system for managing Renewable Energy Certificates (RECs).\n\nThe industry still relies on paper, pens, and people. There’s no single source of truth, no standardized documentation, and no digital infrastructure to support efficient operations.\n\n* **Complex registry compliance:** Each generator must register with one of several regional tracking systems, all with different rules, document requirements, and verification steps.\n* **Manual data reporting:** Uploading generation data, proving eligibility, and submitting documents are tedious, inconsistent, and prone to error.\n* **Inefficient monetization:** Selling RECs means navigating opaque markets, unclear pricing, and a maze of disconnected brokers and buyers—without a unified platform.\n\n### **Our Solution – AI-Powered Automation for the Solar Industry**\n\n**Use AI to “read” details from PDFs and to interact with legacy government websites.** \n\n![uploaded image](/media/?type=post&id=65777&key=user_uploads/421/c7d2bd40-b6eb-4064-b70f-120b3eeb1ea9)\n\nJasmine replaces the outdated, paper-based REC management process with an AI-powered platform purpose-built for residential and commercial solar generators.\n\nOur asset manager brings structure, standardization, and automation to an industry still running on spreadsheets and guesswork:\n\n* **Automated registration:** Jasmine handles the full lifecycle of registration, reporting, and verification across all major tracking systems—no paperwork, no confusion.\n* **Instant data processing:** Our AI ingests, validates, and submits generation data directly from inverters or utility portals to ensure RECs are accurately and efficiently issued.\n* **Transparent payouts:** Track your REC sales in real time and get paid faster, with full visibility into pricing, status, and transaction history.\n\nJasmine turns a fragmented, manual process into a seamless, digital experience—so solar owners can focus on generating power, not paperwork.\n\n### **Key Features**\n\n📝 **Automated Asset Registration** – Jasmine handles onboarding your residential or commercial solar system into the appropriate REC tracking registry, eliminating paperwork and manual errors.\n\n✅ **AI-Powered Data Validation** – Our platform connects to your inverter or utility portal to automatically validate and submit generation data in real time—ensuring fast, compliant REC issuance.\n\n📈 **Transparent Reporting & Analytics** – Get a clean, centralized view of your REC portfolio: generation history, earnings, sale status, and payout timelines—all in one dashboard.\n\n![uploaded image](/media/?type=post&id=65777&key=user_uploads/421/e3f34226-de05-4e49-a60f-b4b95d079cfc)\n\n### **Market Opportunity**\n\n* **5M+ solar systems in the U.S.** eligible for REC sales.\n* **$5B+ annual REC market** that is growing as corporations push for sustainability goals.\n* **85% of small-scale generators** don’t currently monetize their RECs due to complexity.\n\n### **Who We Are For**\n\n🏠 **Home Solar Owners** \\\nEarn passive income from your rooftop solar—no spreadsheets, no stress. Jasmine fully automates REC registration, reporting, and sales so you can **get paid fast** for the clean energy you’re already producing.\n\n🏢 \\*\\*Commercial Developers & Independent Power Producers (IPPs)\\*\\*\\\nManage RECs across portfolios of solar assets with zero friction. Jasmine scales with your business—automating multi-site registration, streamlining compliance, and optimizing REC monetization from start to finish.\n\n🤝 **Third Party Owners & Origination Teams** \\\nThird Party Owners (TPOs) own many thousands of small solar generators. Each site has the compliance overhead as a single utility scale facility. Jasmine helps  third party owners seamlessly register and track hundreds or even thousands of small distributed generators quickly and accurately.\n\n### **Our Ask**\n\n**If you have solar:**  \\\nUse the product!  You can upload your solar documents and claim your incentives TODAY ->  \n\n**If you don't have solar:**  \\\nIntroductions: Know a homeowner, business with solar, or a local solar installer? Refer them to Jasmine! Here’s a quick blurb you can share: \n\n_\"Jasmine Energy automates Renewable Energy Certificate (REC) management for residential and commercial solar. We handle registration, compliance, and REC sales using AI-powered automation—so solar owners can earn passive income without lifting a finger.\"_\n\n_📧:  _[_nathalie@jasmine.energy_](mailto:nathalie@jasmine.energy)\n\n🔗 [jasmine.energy](http://jasmine.energy)\n\nJoin us in simplifying and scaling REC management for the clean energy transition. 🚀\n\n**Nathalie, Dalton, and Matt**\n\n![uploaded image](/media/?type=post&id=65777&key=user_uploads/421/8d311047-fc85-4a85-9015-f05db3eb3b4f)\n\n", "url": "https://www.ycombinator.com/launches/H6v-jasmine-energy-claim-solar-incentives-with-ai", "votes": 41, "created_at": "2025-04-06T16:21:38.000Z" }, { "id": 73943, "title": "Jasmine Energy: Realtime climate asset trading", "tagline": "The easiest way to make your company 100% powered by renewables", "body": "**TL;DR:** Jasmine makes it easy to claim, buy, and sell renewable energy certificates.\n\nHi Everyone! [Nathalie](https://www.linkedin.com/in/nathaliecapati-energy/), [Dalton](https://www.linkedin.com/in/tdaltonc/), and [Matt](https://linkedin.com/in/matthewmayberry) here to (re)introduce [**Jasmine Energy**](https://jasmine.energy/) 🔋\n\nOn Jasmine, anyone can claim, sell, buy, and retire [energy attributes](https://en.wikipedia.org/wiki/Energy_certificate) directly.\n\nEnergy attribute certificates (EACs) (sometimes called Renewable Energy Certificates (RECs)  are a $10B market that is stuck in a time capsule from the fax machine era. Today's EAC market is confusing and time-consuming, taking weeks to register and days to trade.\\\n\\\nWe are on a mission to accelerate the net-zero transition by building climate asset markets that are accessible, transparent, and efficient.\n\n**💢 The Problem**\n\nRECs are a valuable source of revenue for renewable energy generators and are worth up to $500/MWh! The problem is EACs are still traded using phone calls and fax machines. The whole process is confusing and time-consuming, taking weeks to register and days to trade. Middlemen currently keep up to 30% of trade value. \n\n![uploaded image](/media/?type=post&id=73943&key=user_uploads/89898/29c68bd5-72fe-4072-86fc-e6d3b32cc819)\n\n**🤝 The Solution**\n\nOn Jasmine, anyone can buy and sell EACs at a posted price, permissionless, with settlement in seconds.  \n\nJasmine helps users manage their renewable energy assets by bridging RECs onto the blockchain and enabling DeFi transactions that are impossible in the existing markets. When a tokenized EAC is retired, Jasmine handles regulatory filings and auditing (filing paperwork, making phone calls, etc).\n\nJasmine provides the infrastructure to make every step of the buy and sell side process more efficient and transparent, allowing renewable energy generators to make more money, enabling commercial buyers to have a verifiable audit trail of their energy consumption, and giving energy traders the tools to operate more efficiently.\n\n![uploaded image](/media/?type=post&id=73943&key=user_uploads/89898/1700472b-a8b3-49b3-8eac-f0bb4076432b)\n\n**♻️ How does this directly help the climate?**\n\nUnder business as usual, we're not going to build enough global clean energy capacity to hit our 2050 goal of (1) electrifying the economy, (2) decarbonizing the electricity grid, and (3) improving people's quality of life by expanding access to affordable electricity. \n\nA more liquid EAC market will make renewable energy projects less risky to finance, attracting new investors to accelerate the grid’s decarbonization.  We’re bringing those EACs onto the blockchain not just for the transparency and liquidity benefits, but also because DeFi will quickly generate the financial derivatives to further incentivize project financing.\n\n🙏🏻 **Asks**\n\n* Engage with us on [ProductHunt](https://www.producthunt.com/posts/jasmine-energy) today! 🐱\n* Use RECs to make your company 100% renewable\n* Intro us to large generators and/or large buyers\n * Utility and nonutility generators (NUGs)\n * Renewable energy builders\n * Climate asset traders & brokers\n * Builders in the climate and crypto space\n * ESG offices & officers\n\n**Come join our communities and use our dApp**\\\n\\\nHomepage:  \\\nDiscord:  \\\nTwitter: ", "url": "https://www.ycombinator.com/launches/JEd-jasmine-energy-realtime-climate-asset-trading", "votes": 17, "created_at": "2023-08-09T14:46:29.021Z" } ] }, { "id": 28214, "name": "Atmeto", "slug": "atmeto", "former_names": [ "Keeling Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9903b97190d67a01064a67c7522d3703402c8f0c.png", "website": "https://www.atmeto.com", "all_locations": "Los Angeles, CA, USA", "long_description": "", "one_liner": "Building a frontier world model for power", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1674416288, "tags": [ "Machine Learning", "Climate", "Energy", "ClimateTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/atmeto", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/atmeto.json", "year_founded": 2022, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/atmeto/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9903b97190d67a01064a67c7522d3703402c8f0c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 310129, "full_name": "Jack O'Grady", "title": "Founder", "founder_bio": "I build applied machine learning for energy systems. Currently building Atmeto, previously at Rivian building battery data science from the ground up, where I ultimately focused on reinforcement learning for battery optimization in the R1T/R1S.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jackogrady/", "x_url": "https://mobile.twitter.com/jack_ogrady", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/044029ca7972f026b79274f3a4bf14405f53265e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 68703, "title": "Keeling Labs: Applied AI for batteries in the grid", "tagline": "We help grid-scale battery operators adapt to changes in the grid with energy management software that automatically adjusts its behavior to maximize revenue", "body": "### **Meet the Team:**\n\nI’m [Jack](https://www.linkedin.com/in/jackogrady/), the founder of [Keeling Labs](https://www.keelinglabs.com/)! I started the company because I believe that batteries are crucial to enabling more renewable energy from solar and wind, and I wanted to bring applied AI to the table to help scale the deployment, efficiency, and performance of these assets.\n\nPrior to this, I worked on battery algorithms, data, and optimization for 3+ years at Rivian, where I started the company’s Battery Data Science Team and pioneered the application of Reinforcement Learning to fast charging in the R1T/R1S.\n\n![uploaded image](/media/?type=post&id=68703&key=user_uploads/310129/7bf230b1-f162-4080-967d-104572029552)\n\n### **Let’s Talk About Grid-Scale Batteries…**\n\n**What’s Happening**\n\nThe U.S. is deploying batteries in the grid at an insane pace, but managing them is unlike any other power asset:\n\n* They don’t make their own power\n* They don’t have contracts for selling power at a fixed price\n\nBattery storage assets are constantly buying and selling power at dynamic prices, and doing that well or poorly leads to massive differences in project returns. With every new battery and renewable energy system added to the grid, though, the right thing to do shifts. Looking at planned battery additions across nearly every ISO, we can see that changes to grid dynamics will only be intensifying.\n\n![uploaded image](/media/?type=post&id=68703&key=user_uploads/310129/2997b0e7-f7be-4efa-8f8a-4ab56d9462fd)\n\n**How Our Product Handles This**\n\nRather than rely on human experience or hard-coded instructions, we make AI that learns the best way to buy and sell power specific to each battery asset – all on its own. This type of AI is called Reinforcement Learning, and it’s a paradigm shift in how we optimize hardware systems. Our product builds on the founding team’s years of experience with RL-based battery controls and optimization in the EV space.\n\nYou can read more about our technology here: \n\n![uploaded image](/media/?type=post&id=68703&key=user_uploads/310129/dd18161f-2f67-49d8-8f32-0f4cbc2b3cc8)\n\n### **One ask**\n\nWe’re looking for tech-forward industry partners to work with us as we develop an amazing product. If you have connections to the following groups, we’d love the introductions!\n\n* asset managers / battery owners\n* utilities\n\nFeel free to send me a DM on LinkedIn to get in touch: \n\n### **Quick Links:**\n\nWebsite: [https://www.keelinglabs.com](https://www.keelinglabs.com/)\n\nContact Us: \n\nJoin Our Team: ", "url": "https://www.ycombinator.com/launches/Hs7-keeling-labs-applied-ai-for-batteries-in-the-grid", "votes": 27, "created_at": "2023-01-25T16:33:06.343Z" } ] }, { "id": 28593, "name": "HyLight", "slug": "hylight", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5bcbb9e93eb3ebbc3a622b3826ec8c2df9b276d7.png", "website": "https://www.hylight.aero/", "all_locations": "Paris, Île-de-France, France", "long_description": "HyLight builds and operates the HyLighters. Our autonomous airships for long range monitoring. We focus on critical infrastructure inspections:\r\n- detecting methane leaks on pipelines.\r\n- defects & vegetation risks on power lines.\r\n- defects & vegetation risks on railways.\r\n\r\nOur innovation, the HyLighter, is a crossover between drone and airship technology. Like a drone, it is easily controllable and transportable. And, like an airship, it is extremely energy-efficient, enabling it to fly for up to 10 hours at slow speed (22mph) for optimal data collection which represents a range of 220miles. \r\n\r\nToday, energy infrastructure operators struggle with conducting inspections that are simultaneously: massive and precise. HyLight offers a solution to precisely detect issues on the infrastructure at an industrial scale, and all of this without emitting GHGs.\r\n\r\nWe are 3 co-founders experienced in hardware and energy companies with Masters in Mechanical Engineering, Computer Science and Business from the best Engineering and Business School in France.\r\n\r\nWe have manufactured 20 HyLighter and are deploying across Europe.", "one_liner": "Unmanned airships for inspecting our critical assets", "team_size": 37, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1687803555, "tags": [ "Hydrogen Energy", "B2B", "Climate", "Energy", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Industrials", "Climate" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hylight", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/hylight.json", "year_founded": 2022, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/hylightaero", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5bcbb9e93eb3ebbc3a622b3826ec8c2df9b276d7.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/62/1694197321070-kiq5u588dbg-f467142732c5e07f85aa96a7b9c386f9/e4fb42eb165fd155d7f09286629d4578.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022713Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=f7a0e201355b3d94e89b2cc6d7221794c8a51b43c1f4e770aae17bb2d8121f27", "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3a84c7aa583e7ae282f0d5c2761491dd74d862f2.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1294200, "full_name": "Thomas Laporte", "title": "Founder", "founder_bio": "Co-founder & CBO at HyLight | My goal is to reduce greenhouse gas emissions. I do that by supporting utilities in taking care of their critical infrastructure (power lines, pipelines, railways etc) and helping them in detecting defects and risks before outages.\n\nThanks to HyLight, our clients replace an old, not adapted solution (helicopter and human based inspections) with a high carbon footprint by our offer (HyLighter based inspection) with zero carbon footprint and no risks for human crews.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/thomaslaporte/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/baa91f6567508aa8dbb57a8367c6b92040bcc085.jpg" }, { "user_id": 939194, "full_name": "Martin Bocken", "title": "Founder", "founder_bio": "Co-founder & CEO of @HyLight. I'm a doer at heart, my engineering background helped me to launch several entrepreneurial projects. I devote my energy to creating and designing the innovations that will enable us to live in a low-carbon world tomorrow. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/martin-bocken/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fc2a3eb98268019633e365686398888f46b8dfc4.jpg" }, { "user_id": 1294012, "full_name": "Josef Rokusek", "title": "Founder", "founder_bio": "Co-founder & CTO of @HyLight. With a boundless passion for innovation and a commitment to sustainable solutions, I've dedicated my life to making a difference in the world. My journey began with a solid foundation in mechanical engineering and sustainable energy. This background provided me with the tools to turn my creative ideas into real-world innovations. My mission? Lead the change in reshaping society's approach to technology, making it environmentally friendly. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/josef-rokusek/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/555fb088667941d22fbe137c580424eb0139aedf.jpg" } ], "jobs": [ { "id": 117429, "title": "Spontaneous application", "url": "https://www.ycombinator.com/companies/hylight/jobs/wlKHnIf-spontaneous-application", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117430, "title": "GNC Drone Engineer Internship", "url": "https://www.ycombinator.com/companies/hylight/jobs/z7p0cKo-gnc-drone-engineer-internship", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117431, "title": "Senior Autonomous Drones Engineer", "url": "https://www.ycombinator.com/companies/hylight/jobs/m0fmCL9-senior-autonomous-drones-engineer", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117432, "title": "Talent Acquisition Intern (6 month Internship)", "url": "https://www.ycombinator.com/companies/hylight/jobs/PZdcMLO-talent-acquisition-intern-6-month-internship", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117433, "title": "Talent Acquisition Specialist (Headhunter)", "url": "https://www.ycombinator.com/companies/hylight/jobs/omvYqPw-talent-acquisition-specialist-headhunter", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117434, "title": "Embedded Software Engineer - 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Internship", "url": "https://www.ycombinator.com/companies/hylight/jobs/vYK5sYQ-full-stack-engineer-internship", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117442, "title": "Country Lead - Germany", "url": "https://www.ycombinator.com/companies/hylight/jobs/Jj0evaj-country-lead-germany", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117443, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/hylight/jobs/8nkkukr-founding-account-executive", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117444, "title": "Technicien(ne) Assemblage et Fabrication (H/F)", "url": "https://www.ycombinator.com/companies/hylight/jobs/2EbImqI-technicien-ne-assemblage-et-fabrication-h-f", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117445, "title": "Data Engineer, Airships to Cloud", "url": "https://www.ycombinator.com/companies/hylight/jobs/eRWwsMp-data-engineer-airships-to-cloud", "location": "Paris, France / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117446, "title": "Business Development Internship", "url": "https://www.ycombinator.com/companies/hylight/jobs/uQiauPv-business-development-internship", "location": "Paris, France", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117447, "title": "Embedded Software Internship", "url": "https://www.ycombinator.com/companies/hylight/jobs/S6eH5Ss-embedded-software-internship", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117448, "title": "Payload Operator & Embedded Data Analyst - internship", "url": "https://www.ycombinator.com/companies/hylight/jobs/gIiGNF0-payload-operator-embedded-data-analyst-internship", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117449, "title": "Field Operations Manager - Full time position ", "url": "https://www.ycombinator.com/companies/hylight/jobs/NQpVYGb-field-operations-manager-full-time-position", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117450, "title": "Senior Electronics Engineer", "url": "https://www.ycombinator.com/companies/hylight/jobs/ZGY1k4r-senior-electronics-engineer", "location": "Paris, France", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117451, "title": "Chauffeur super poids lourd (SPL) Dirigeable (H/F)", "url": "https://www.ycombinator.com/companies/hylight/jobs/6aZ4Bst-chauffeur-super-poids-lourd-spl-dirigeable-h-f", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117452, "title": "Télépilote drone et chargé de réglementation", "url": "https://www.ycombinator.com/companies/hylight/jobs/EFu32H7-telepilote-drone-et-charge-de-reglementation", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117453, "title": "Chief of Staff Associate Intern", "url": "https://www.ycombinator.com/companies/hylight/jobs/QQPRLmY-chief-of-staff-associate-intern", "location": "Paris, France", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "French startup HyLight raises €13 million to build autonomous airships", "url": "https://www.aerotime.aero/articles/french-startup-hylight-raises-e13-million-to-build-autonomous-airships", "date": "Oct 12, 2026" }, { "title": "HyLight raises $4M for hydrogen-powered airship drones - Tech.eu", "url": "https://tech.eu/2024/04/15/hylight-raises-4m-for-hydrogen-powered-airship-drones/", "date": "Apr 15, 2024" } ], "launches": [ { "id": 72609, "title": "HyLight 🎈 Hydrogen airships for long range monitoring", "tagline": "We help utility companies inspect their infrastructure in a sustainable & cost-effective way.", "body": "Hello everyone, we are [HyLight](https://www.hylight.aero/). We build small unmanned hydrogen airships to automatically gather massive amounts of precise data in a sustainable and cost-effective way.\n\n🚫 **The problem :**\n\nWe currently focus on:\n\n* 💨 Pipeline inspection to detect methane leaks (4% of global greenhouse gas emissions).\n* ⚡Power line inspection to prevent outages, reduce wildfire risks ($19 billion per year in the US), and ensure grid reliability.\n\nCurrent solutions (helicopters, airplanes, satellites and drones) are not adapted to make accurate, efficient and sustainable observations.\n\n✅ **Our solution** :\\\nOur solution is a crossover between drone and lighter than air technologies, using hydrogen as a lifting gas and power source.\n\n![uploaded image](/media/?type=post&id=72609&key=user_uploads/935793/71bfe7a3-7276-4501-a63f-19311f24fcb5)\n\nThis vehicle combines long range, high payload, and hovering capabilities\n\nWe have already built four prototypes, [two minimum viable products (MVPs)](https://youtu.be/MQLInmqLF7M), and are running a paid pilot with the largest power line company in Europe.\n\n🙏 **Our ask: How you can help**\n\n* **🤝 Refer:** If you know anyone that works in Oil&Gas or utilities please connect us ([thomas@hylight.aero](mailto:thoma@hylight.aero)).\n* **📣 Share:** Share this post with your network.\n* **🔔 Follow:** Follow us on [LinkedIn](https://www.linkedin.com/company/hylightaero).\n\nWe are building the perfect airborne platform to better observe, understand, and improve our world.\n\nJoin us for the flight!\n\n![uploaded image](/media/?type=post&id=72609&key=user_uploads/935793/56584ff9-a2da-41ab-985b-3a830e9f5f67)\n\n", "url": "https://www.ycombinator.com/launches/It7-hylight-hydrogen-airships-for-long-range-monitoring", "votes": 696, "created_at": "2023-06-28T14:55:01.605Z" } ] }, { "id": 29092, "name": "dili", "slug": "dili", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9e905bd15e69e145959bbab0b2b161c61c3dd16c.png", "website": "https://www.dili.com", "all_locations": "New York City, NY, USA", "long_description": "Dili (YC S23) is building the most reliable AI automation for compliance in real-world industries.\r\n\r\nAcross energy, infrastructure, datacenters, advanced manufacturing, and construction, Dili has run prevailing wage, apprenticeship, & other labor compliance to help customers secure over $1 billion in federal funding.\r\n\r\nDili is building the AI system of record to help physical industries track compliance, analyze labor and spend, run payroll, and more. ", "one_liner": "Automating Compliance for Construction", "team_size": 15, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1686681508, "tags": [ "Fintech", "B2B", "Compliance", "Energy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "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/dili", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/dili.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dili-ai/", "x_url": "https://twitter.com/dili_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/dili-e466", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9e905bd15e69e145959bbab0b2b161c61c3dd16c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6c8352b3b1beae02ba227c90161f5c2a41e30041.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 312266, "full_name": "Anand Chaturvedi", "title": "Founder/CEO", "founder_bio": "Anand Chaturvedi is the Co-Founder & CEO of Dili working in New York, NY. Anand led engagement growth at Coinbase (S12) to increase revenue by $50M, and built out KYC/AML systems. Previously, Anand has conducted ML research at Apple, working on new hardware products. Anand is a fellow at Kleiner Perkins, and holds a Bachelor's & Master's in Machine Learning from Georgia Tech.", "is_active": true, "linkedin_url": "https://linkedin.com/in/anandchaturvedi1", "x_url": "https://twitter.com/metanand", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2ca2da781fefc7d0c8c5e13645f68d3b19964d31.jpg" }, { "user_id": 622827, "full_name": "Brian Fernandez", "title": "Founder", "founder_bio": "Building compliance automation that keeps America’s big projects moving.", "is_active": true, "linkedin_url": "https://linkedin.com/in/brianfernandez1", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/77ad83f3bb203ba0822fbdce07ca643bfb8d309d.jpg" } ], "jobs": [ { "id": 75683, "title": "Founding Business Development Representative", "url": "https://www.ycombinator.com/companies/dili/jobs/PkNc0a5-founding-business-development-representative", "location": "New York, NY, US / Remote (US; CA)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$65K - $95K", "equity_range": "0.05% - 0.10%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 76552, "title": "Senior Full-Stack Engineer", "url": "https://www.ycombinator.com/companies/dili/jobs/C4KB131-senior-full-stack-engineer", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$125K - $200K", "equity_range": "0.10% - 0.30%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79796, "title": "Compliance Customer Success Manager", "url": "https://www.ycombinator.com/companies/dili/jobs/JihtpfK-compliance-customer-success-manager", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $130K", "equity_range": "0.05% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 101985, "title": "Product Manager", "url": "https://www.ycombinator.com/companies/dili/jobs/VzbrBab-product-manager", "location": "New York, NY, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$160K - 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$195K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117032, "title": "Founding Recruiter", "url": "https://www.ycombinator.com/companies/dili/jobs/6XscHNV-founding-recruiter", "location": "New York City, NY / Remote (US)", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117462, "title": "Customer Success Specialist", "url": "https://www.ycombinator.com/companies/dili/jobs/8smosJB-customer-success-specialist", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$70K - $90K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Dili raises $21.7M to bring AI compliance to the infrastructure boom | TechCrunch", "url": "https://techcrunch.com/2026/07/30/dili-raises-15-million-to-bring-ai-compliance-to-the-infrastructure-boom/", "date": "Jul 30, 2026" }, { "title": "Dili Raises $21.7m from Khosla Ventures to Bring AI-Powered Assurance to America’s Infrastructure Boom", "url": "https://finance.yahoo.com/technology/ai/articles/dili-raises-21-7m-khosla-193900367.html", "date": "Jul 29, 2026" }, { "title": "Dili wants to automate due diligence with AI | TechCrunch", "url": "https://techcrunch.com/2024/02/19/dili-wants-to-automate-due-diligence-with-ai/", "date": "Feb 19, 2024" }, { "title": "Y Combinator Demo Day 2023: Our favorites Day 2 | TechCrunch", "url": "https://techcrunch.com/2023/09/07/ycombinator-demo-day-two-summer-2023/", "date": "Sep 07, 2023" } ], "launches": [ { "id": 82651, "title": "Dili: The most reliable AI for diligence on high-stakes deals", "tagline": "Dili has provided diligence and red flags on 3000+ deals across tax credits, real estate, private credit and PE.", "body": "Hi everyone, we are Brian and Anand. We had a big month at Dili with +210% revenue growth MoM, and we wanted to publicly share how Dili can improve underwriting and investment outcomes for our customers.\n\n![uploaded image](/media/?type=post&id=82651&key=user_uploads/312266/5c9775a5-577f-46a8-b175-df7c53aa86e7)\n\n**🧨 The Problem: Due Diligence is time-consuming, prone to human error, and today’s AI is not equipped to handle these mission-critical workflows**\\\n\\\nDue diligence today can mean spending weeks digging up data in datarooms using your domain-specific knowledge and presenting findings in memos to make multi-million-dollar investment decisions. All of this work is manual, time-consuming, and very often prone to human error. There are several cases where it is not feasible to have a human sift through 100’s of documents to find the red flag buried deep in the data room. Today’s AI models are not accurate enough to assist with mission-critical use cases like underwriting $60M+ tax credit transactions, $100M+ loan & lease abstraction, deal screening, and drafting investment memos.\\\n\\\n**🧿 The Solution: Dili’s AI Platform reads every file to generate relevant reports - with confidence scores.**\n\n![uploaded image](/media/?type=post&id=82651&key=user_uploads/312266/a75b94cc-08d8-475d-87eb-2722f0f2ff4b)\n\nDili is built to be the most reliable platform for automating diligence and portfolio management workflows. It can read every file in a dataroom and provide reports with confidence scores on every output so you know when something needs your attention. Using the in-app file viewer, you can inspect sources directly with text highlighted.\n\n![uploaded image](/media/?type=post&id=82651&key=user_uploads/312266/1ce274aa-4733-4e59-aca9-d9275250bac9)\n\nFirms can now tune Dili using their domain knowledge and instructions to fit their custom templates, reports, and SOPs. Using this fine-tuned expertise, Dili has found and fixed critical red flags and human errors on several multi-million dollar transactions across 3000+ deals.\n\n**Dili has been used to automate:**\n\n✅ **Tax credit** diligence to validate credits and underwrite risk on transactions\n\n✅ **Real estate** OM screening, loan, and lease abstraction\n\n✅ **Private Equity and Private Credit** deal screening and DD checklists\n\n✅ **VC** portfolio monitoring and drafting investment memos\n\n\n\n### **👋 Ask: How you can help**\n\n* If you are involved in tax credit, real estate, or private credit/PE transactions, we’d love to share how Dili can help you. Book a demo [here](https://calendly.com/anand-dili-ai/30min).\n* Follow along on [LinkedIn](https://www.linkedin.com/company/dili-ai/) & [Twitter](https://twitter.com/dili_ai)!", "url": "https://www.ycombinator.com/launches/LV5-dili-the-most-reliable-ai-for-diligence-on-high-stakes-deals", "votes": 15, "created_at": "2024-08-01T19:01:58.230Z" }, { "id": 73138, "title": "🧿 Dili: Accelerating due diligence with AI", "tagline": "Dili is the newest analyst on your deal team - who lets you complete due diligence in hours, not weeks.", "body": "**_Tl;dr:_** _Dili is an AI platform that accelerates manual tasks involved in the due diligence process for both buy- and sell- side deal teams. We make it easier for the buy-side (PE/VC funds) to invest in and buy companies, and for the sell-side to streamline due diligence processes for capital raises or M&A. Dili helps you make data-driven investment decisions through due diligence - from understanding the deal dataroom, leveraging your firm’s internal knowledge, to crafting investment deal materials. _[_Contact us here_](https://www.diliai.com/)_._\n\n\\\nHi everyone, we are Stephanie, Brian, and Anand - the co-founders of Dili! After working together at Coinbase, we decided to take on the challenge of making the due diligence process for capital markets more efficient for both buy-side and sell-side deal teams.\n\n![uploaded image](/media/?type=post&id=73138&key=user_uploads/312266/1392cf6c-9a41-45c9-b07c-eba28b21eb7b)\n\n### **🧨 The Problem: Due diligence is a time-consuming, manual process that is required for doing deals**\n\nStephanie (CEO, Co-founder) spent years working in investment banking, corporate development, and venture capital doing over $500m+ in deal volume. Her job consisted of several hours a day of tedious, manual tasks and workflows while conducting due diligence on deals. Today, due diligence means spending weeks or months carefully reading through company datarooms, digging up data across internal tribal knowledge & external sources, and analyzing or presenting findings in memos to make million dollar investment decisions.\n\nThis time-consuming, manual process means investors see fewer deals per year - and cannot dive deep enough on thorough due diligence for each deal. (i.e., JP Morgan’s recent acquisition of Frank!)\n\n### **🧿 The Solution: Dili’s AI platform that helps you make better investment decisions**\n\nDili is an LLM-powered platform that creates insights and analyses for investors which sits on top of 3 sources of data: 1.) the dataroom from the company you are doing due diligence on, 2.) a custom built structured internal knowledge database for your unstructured data, 3.) data integrations from your favorite external partners. Our solution helps you conduct data-driven due diligence because it improves the quality of due diligence conducted. LLMs run on top of all available internal and external data to provide you with better analyis and insights, making it 5x faster by automating the most manual parts of the process.\n\nImagine a new deal comes across your desk - you can use Dili to deeply **understand the information in a dataroom**, automatically find anomalies or red flags, and instantly calculate financial metrics/models.\n\n![uploaded image](/media/?type=post&id=73138&key=user_uploads/312266/c0e1c5c7-e38b-4a87-909f-5e11f7c9cb65)\n\nIf you wish to proceed with the deal - Dili structures and searches through your firm’s **internal knowledge base** as well as **external sources** (Pitchbook, Crunchbase, Tegus, LinkedIn etc.) to provide comprehensive comparables analysis and dashboard metrics for each new deal.\n\n![uploaded image](/media/?type=post&id=73138&key=user_uploads/312266/20b06589-6dbf-4335-b6dd-a4038b83a363)\n\nFinally, as you are coming to a thesis and writing an investment memo - Dili can put together a **first-cut memo / deal packet in minutes**, not days.\n\nUsing Dili, **PE & VC Firms**:\n\n✅ Conduct a due diligence deep dive on several more companies per year\n\n✅ Catch red flags early during due diligence (like Frank’s list of fake usernames) to potentially save millions\n\n✅ Search through a database of every company your firm has seen, to find comparables across your entire knowledge base\n\n✅ Get AI-enhanced insights to make better data-driven investment decisions\n\n### \n\n### **👋 Ask: How you can help**\n\n* If you’re an **investor** looking to improve your due diligence process, we’d love to share how Dili can help you. [Book a demo here.](https://calendly.com/steph_dili/30min)\n* If you are a **startup** planning to fundraise soon, we could help make this process easier. [Contact us here.](https://mailto:sales@diliai.com?subject=Connecting%20you%20to%20Dili)\n* Please share this post, and follow along on [LinkedIn](https://www.linkedin.com/company/dili-ai/) & [Twitter](https://twitter.com/dili_ai)! 🧿", "url": "https://www.ycombinator.com/launches/J1e-dili-accelerating-due-diligence-with-ai", "votes": 76, "created_at": "2023-07-17T15:57:36.172Z" } ] }, { "id": 29157, "name": "Orbio Earth", "slug": "orbio-earth", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c8b46bfc8422d4590d819ae4695c62834845a549.png", "website": "https://www.orbio.earth/", "all_locations": "Remote", "long_description": "Orbio uses satellite imagery to track methane emissions from the oil & gas industry. We sell the data to financial companies that want to invest into the best performing energy companies.\r\n\r\nUntil today, oil & gas companies use excel-based emission factors to calculate and report their emissions. As these excel-based emission factors underestimate actual emissions by ~70%, the finance companies that invest into oil & gas can’t mitigate against incoming risks from new regulations, \r\n\r\nWe have built a technology that can for the first time use satellite images to track methane from every single oil & gas facility on the planet, replacing emission factors and allowing finance companies to make the best bets on oil & gas companies that will withstand a wide avalanche of incoming regulation. In the summer 2023 our satellite-based technology got ranked #1 both in terms of accuracy and sensitivity of methane emission events by Stanford University in a peer-reviewed study, beating a range of multi-bn dollar competitors like Maxar.\r\n\r\nLearn more at https://orbio.earth", "one_liner": "Tracking methane emissions with satellites", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1687128394, "tags": [ "Satellites", "Analytics", "Climate", "Energy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/orbio-earth", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/orbio-earth.json", "year_founded": 2021, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/orbioearth/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/orbio", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c8b46bfc8422d4590d819ae4695c62834845a549.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": 934621, "full_name": "Robert Huppertz", "title": "Founder", "founder_bio": "Co-Founder Orbio Earth GmbH; Ex-ML Engineer NASA Harvest; Ex-Cervest", "is_active": true, "linkedin_url": "https://linkedin.com/in/robert-huppertz-6536a0122", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f8439326c44aa077d7671d517304a4f7c229f0ed.jpg" }, { "user_id": 855020, "full_name": "Jack Angela", "title": "Founder", "founder_bio": "Climate optimist building out product and commercial strategy @ Orbio Earth", "is_active": true, "linkedin_url": "https://linkedin.com/in/jack-angela-bab326a5", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a60ad6413ab0c3d137f4e6e8d9d64f5b9ebf567a.jpg" } ], "jobs": [], "news": [ { "title": "Orbio Earth finds methane leaks that could cost oil companies billions this year | TechCrunch", "url": "https://techcrunch.com/2024/03/13/orbio-earth-seed-round/", "date": "Mar 13, 2024" } ], "launches": [ { "id": 72376, "title": "🛰️ Orbio Earth - Monitoring methane emissions with satellites", "tagline": "We help sustainability analysts manage methane emission risks", "body": "**tl;dr** _Orbio makes it easy for sustainability and risk professionals to identify large methane emission risks across global energy portfolios. If you’re interested in finding out more check out our website _[_here_](https://www.orbio.earth/)_, and feel free to book a product demo _[_here_](https://www.orbio.earth/orbio-demo)_!_\n\nFor more information read on below 👇\n\nHi everyone, thanks for stopping by our launch YC post. We are Rob and Jack and we are on a mission to power the low-carbon transition through methane monitoring.\n\n💨 **Why methane I hear you ask?**\n\nMethane emissions from the energy industry, if prevented would have the climate impact equivalent to taking all cars and trucks off the road globally. It is a short-lived pollutant, therefore stopping this gas getting to the atmosphere is one of the best levers we have in the climate change mitigation fight.\n\n🚫 **The Problem: Poor data on understanding where emissions occur**\n\nExisting data collection processes are manual, involving hand-held cameras on a site, expensive and not frequently available on all 12 million oil & gas assets globally. Poor data collection processes mean poor data.\n\nExisting methane inventories under-represent methane emissions by around 70%. This is preventing sustainability and risk analysts from managing emissions in their global energy portfolios. Mismanagement of these emissions can lead to stock devaluations, stranded assets and increases global warming.\n\n⭐ **The solution: Global and frequent methane emissions data**\n\nOrbio helps sustainability and risk analysts identify where in their large energy portfolios the biggest methane emission risks are. Identifying previously unknown risks and doing this on a frequent basis gives these analysts the tools to effectively manage emission risks.\n\n🤖 **How it works: Processing non-methane emission satellite data**\n\nOrbio leverages the power of satellite data. We have developed an algorithm capable of processing data from satellites not previously designed to monitor methane emissions. Using these satellites enables us to deliver world-leading data across global scales, at an asset level (e.g. an oil well) and on a frequent basis.\n\n_Benchmarking assets, operators and countries on methane emission performance:_\n\n![uploaded image](/media/?type=post&id=72376&key=user_uploads/855020/9256c560-1b9c-43dd-b0ff-f4dba82c8f01)\n\n_\\\nMapping out where these methane emission risks lie in energy portfolios_\n\n![uploaded image](/media/?type=post&id=72376&key=user_uploads/855020/6cf6d1c0-82c8-45ed-bdef-7cb274bbd1c4)\n\n💰 **The opportunity: A growing market being pulled by new regulation**\n\nA sweep of regulation being introduced across the globe in 2023. This is putting pressure on the energy industry, financial professionals and insurers, totalling around 60,000 companies worldwide, to get a better understanding of what the associated emission risks in their energy portfolios.\n\n🙏 **Our ask: How you can help**\n\n* Connect us with sustainability risk analysts in the energy, finance and insurance industries. [Click here](https://www.linkedin.com/in/jack-angela-bab326a5/)\n* We are hiring, if you know anyone on the marketing and commercial side we would love to have an intro! [Click here](https://www.orbio.earth/careers)", "url": "https://www.ycombinator.com/launches/IpM-orbio-earth-monitoring-methane-emissions-with-satellites", "votes": 28, "created_at": "2023-06-19T22:48:41.505Z" } ] }, { "id": 29438, "name": "Spark", "slug": "spark", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/334553fe55450cd0888b7e50f8918d05c8491633.png", "website": "https://www.sparkhq.ai", "all_locations": "", "long_description": "Spark AI is workflow software for solar, storage, and data center developers. We've reviewed and identified over 1 million zoning, permitting, and project-related documents in nearly every jurisdiction in America, so that you can instantly identify project requirements, local sentiment, and fatal flaws in seconds.\r\n\r\nWe’re trusted by dozens of industry-leading developers representing over 90 gigawatts of project pipeline and $30 billion in financing. Our team combines leadership experience from AI and energy (Microsoft, Apple, Department of Energy, Brex).", "one_liner": "AI-powered workflows for energy infrastructure", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1708060326, "tags": [ "Energy Storage", "Solar Power", "Climate", "Energy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/spark", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/spark.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/sparkhqai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/334553fe55450cd0888b7e50f8918d05c8491633.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": 129719, "full_name": "Julia Wu", "title": "Founder/CEO", "founder_bio": "Julia is the co-founder and CEO of Spark, an AI-powered permitting and workflow solution for energy infrastructure.\nBefore Spark, Julia was an engineering manager and early engineer at Brex, where she led teams like Card Fraud, Growth, and Rewards. She was also an engineer at Apple Siri and Microsoft Azure. Julia studied computer science & economics at Brown, speaks 3 languages natively, and grew up between Brazil and China. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/wu-julia", "x_url": "https://twitter.com/thejuliawu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/501f44c67d39cc1704ab75dc29ae432b76a7c8f6.jpg" }, { "user_id": 307611, "full_name": "Anuj Saigal", "title": "Founder", "founder_bio": "Anuj Saigal is co-founder of Spark AI. He spent a decade building energy infrastructure at SunEdison, EVgo, and the Department of Energy before building the permitting tool he always needed. Previously CEO of Dataherald (YC W21), revenue lead at Nauto. Northwestern Kellogg MBA, UC Berkeley Economics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anujsaigal/", "x_url": "https://twitter.com/anujsaigal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/99447abf3ba3ae61c31f64ca7288dc0d823ccf3d.jpg" } ], "jobs": [ { "id": 73632, "title": "Software Engineer, Full Stack - Founding Team", "url": "https://www.ycombinator.com/companies/spark/jobs/kDeJlPK-software-engineer-full-stack-founding-team", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $200K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Node.js", "PostgreSQL", "TypeScript", "Next.js" ] }, { "id": 86218, "title": "Growth + Operations (BizOps) Associate / Manager", "url": "https://www.ycombinator.com/companies/spark/jobs/UKGQ0Fd-growth-operations-bizops-associate-manager", "location": "San Francisco, CA, US / Los Angeles, CA, US / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$70K - $150K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 113436, "title": "Spark AI: Stakeholder Intelligence for Data Center Permitting", "tagline": "See who decides your permit, and how they'll vote, before you break ground", "body": "Hi everyone, we're [Julia](https://www.linkedin.com/in/wu-julia/) and [Anuj](https://www.linkedin.com/in/anujsaigal/), co-founders of [Spark AI](https://www.sparkhq.ai/).\n\n### **TL;DR**\n\nSee who decides your permit, and how they'll vote, before you break ground\n\nEvery data center in America has to get through a local zoning board before it gets built. We mapped and tracked every jurisdiction, project, and land use regulation in the country, and we just launched Stakeholder Intelligence, a tool that tells you who's deciding your permit, their voting history, and what's likely to happen next. **If you're developing (or powering) data centers, or know someone who is, we want to talk.**\n\n### ❌ The Problem\n\nData centers land next to real communities: people who didn't ask for a giant, humming building showing up in their backyard. A lot of them fight it.\n\nThat fight runs entirely through local politics: county boards, township councils, zoning authorities. Real people with real voting histories, some of whom love solar and hate data centers, some the reverse, and it shifts constantly.\n\n* Data centers are having the roughest time of any large-scale asset class right now. 42% of gigawatt-scale data center projects announced in 2025 have already run into a local moratorium, suspension, legal challenge, or permit denial. That's not an edge case anymore, it's closer to a 50/50 bet.\n* And it's accelerating. Within six months of announcement, \\~24% hit that same wall in 2025, nearly triple 2024's rate (8%) and more than triple 2023's (7%).\n\nFederal and state policy get all the coverage. But the actual bottleneck on AI compute buildout sits in a Tuesday night meeting in a county most people can't find on a map, and almost nobody tracks it systematically. Developers either fly someone out to sit through hours of public comment, or they pay consultants a lot of money to tell them what already happened last month.\n\n### ✅ How Spark Works: Stakeholder Intelligence\n\nStakeholder intelligence surfaces every board member, commissioner, officer’s past decisions, meetings and votes from our databases and web search agents running across the country.\n\n\n\n**We watch the game tape for you.** For every authority in the US, you get the meeting video, the transcript, the decision, and our summary of what actually mattered. Topics covered, who said what, what got decided. What used to take someone three hours of watching public comment now takes about thirty seconds of reading.\n\n![uploaded image](/media/?type=post&id=113436&key=user_uploads/307611/076af213-dd78-4d58-acf8-c249244260cb)\n\n**NIMBY tracking.** We score every county in the country on data center permitting posture: moratoriums, zoning rules, sentiment grounded in local news coverage, and utility interconnection posture. That rolls into a tier and a score, so you know before you sign a lease whether you're walking into a fight.\n\n![uploaded image](/media/?type=post&id=113436&key=user_uploads/307611/21ab4ec3-c751-4de6-845a-2cef9e732d7c)\n\n**Alerts.** Ordinances change, moratoriums get proposed, projects move. We tell you when it happens instead of you finding out from a headline.\n\n### Backstory\n\nJulia grew up in and around factories, in the supply chain corridor between Asia and Latin America, before building data and search infrastructure for Apple's Siri team. Anuj spent a decade financing and building energy infrastructure, at the Department of Energy, SunEdison, and EVgo, before founding his last company, Dataherald (YC W21).\n\n![uploaded image](/media/?type=post&id=113436&key=user_uploads/307611/870f82a4-1496-4bc2-b433-a69d13c8ea24)\n\n### Who We Work With\n\nAlphabet (Intersect), NextEra, DE Shaw Renewables, Nodiac, and a set of world class developers and Fortune 500s carrying over 200GW of pipeline between them.\n\n### How You Can Help\n\nIf you or anyone in your network is developing data centers, large or small, we want the intro. We're especially trying to connect with people close to Terawulf, Vantage, Equinix, CyrusOne, and Digital Realty.\n\nReach us at [founders@sparkhq.ai](mailto:founders@sparkhq.ai). Or happy to jump on a call: [**calendar link**](https://calendly.com/d/cyty-zwg-3bb).", "url": "https://www.ycombinator.com/launches/TVc-spark-ai-stakeholder-intelligence-for-data-center-permitting", "votes": 8, "created_at": "2026-09-02T16:01:00.565Z" }, { "id": 96116, "title": "Spark: Permitting Intelligence for AI Infrastructure", "tagline": "Spark helps energy infrastructure developers cut through permitting red tape", "body": "### TL;DR\n\nWith [Spark AI](https://www.sparkhq.ai/), developers can instantly identify permitting requirements and fatal flaws in seconds, not weeks.\n\nWe have parsed more than 1 million zoning, permitting, town hall meetings, and project documents. Our systems ingest PDFs, maps, land use codes, moratoria, interconnection queues, and local websites across thousands of jurisdictions.\n\n### Permitting is the silent killer of energy infrastructure projects\n\nAn estimated $98 billion in projects were [blocked or delayed](https://www.datacenterwatch.org) in Q2 2025. A one-month delay on a 60 MW data center can [erase $10M in value](https://www.foresight.works/case-study/foresight-driving-projects-blind). Speed to power determines who wins in data center, storage, and generation.\n\nCritical information lives inside thousands of scattered, inconsistent zoning codes, permits, and local records. Teams miss high-potential sites, waste months on weak ones, and get outpaced by competitors.\n\n![uploaded image](/media/?type=post&id=96116&key=user_uploads/129719/ac5a347e-6cae-406e-8867-a98f5d8cd5ba)\n\n### Enter Spark: De-risking Speed to Power\n\nSpark pulls everything into one place and makes permitting intelligence instant.\n\nSpark scans millions of PDFs, maps, land use codes, and local websites to surface permitting rules and community sentiment. What used to take weeks now takes seconds. The same engine evaluates individual parcels or entire data rooms.\n\nhttps://youtu.be/6wvFwUNPrks\n\n**Rapid Permit Matrix 📄**\n\nWe run the permitting gauntlet for hyperscalers, energy developers, and BESS operators at a fraction of the cost and time.\n\nSpark generates a complete permit matrix that captures the legal, procedural, and social landscape of any site. Developers move faster on strong sites and eliminate weak ones early.\n\n![uploaded image](/media/?type=post&id=96116&key=user_uploads/129719/867df1aa-ea4b-4b25-96a1-003942873b64)\n\n**Social Media Sentiment 👥**\n\nLocal opposition begins online long before public hearings. Grassroots groups and Facebook communities shape the approval landscape months in advance.\n\nSpark tracks social media activity across every U.S. county for solar, storage, and data center projects. Users identify relevant groups, engagement patterns, and sentiment before the first meeting hits the calendar.\n\n![uploaded image](/media/?type=post&id=96116&key=user_uploads/129719/75434906-6ad4-48ab-83f0-4740c6350b2b)\n\nDon’t just take it from us: We’re trusted by dozens of industry-leading developers representing over 90 gigawatts of project pipeline and $30 billion in financing: Cypress Creek Renewables, Standard Solar, Arevon, UGE ([case study](https://sparknotes.beehiiv.com/p/from-bottleneck-to-breakthrough)), DESRI, Dynamic Energy ([case study](https://sparknotes.beehiiv.com/p/dynamic-energy)), and many others.\n\n### Core Team\n\nOur founding team, [Julia Wu](https://www.linkedin.com/in/wu-julia/), [Anuj Saigal](https://www.linkedin.com/in/anujsaigal/?utm_source=sparknotes.beehiiv.com&utm_medium=referral&utm_campaign=ai-for-a-mission-recruiting-post), [Luca Marturana](https://www.linkedin.com/in/lucamarturana/?utm_source=sparknotes.beehiiv.com&utm_medium=referral&utm_campaign=ai-for-a-mission-recruiting-post), [Wendell Beane](https://www.linkedin.com/in/wendell-beane-21861712b/), [Shivam Agarwal](https://www.linkedin.com/in/shivam-agarwal-77604ab8/), combines years of leadership in AI and energy.\n\nWe come from Apple, Microsoft, SunEdison, the Department of Energy, and multiple YC startups.\n\n### Our Ask\n\nWe’re partnering with developers and operators building the future of compute and energy. If that’s you, we’d love to chat! [**Book a demo here**](https://calendly.com/d/4qp-yyt-qxw/spark-ai-demo)**, or reach out to [founders@sparkhq.ai](mailto:founders@sparkhq.ai)**\n\nWe are hiring across [operations/growth](https://www.ycombinator.com/companies/spark/jobs/UKGQ0Fd-spark-ai-growth-and-operations-associate-manager) and [engineering](https://www.ycombinator.com/companies/spark/jobs/kDeJlPK-software-engineer-full-stack-founding-team)! If this mission sounds exciting to you or someone you know, reach out to [hiring@sparkhq.ai](mailto:hiring@sparkhq.ai)\n\n![uploaded image](/media/?type=post&id=96116&key=user_uploads/129719/45f5786b-f5fb-45ab-85a2-f2e05768bb19)\n\n", "url": "https://www.ycombinator.com/launches/P0G-spark-permitting-intelligence-for-ai-infrastructure", "votes": 13, "created_at": "2025-12-10T19:23:49.741Z" }, { "id": 78596, "title": "⚡️ Spark - AI-powered workflows for large-scale clean energy development", "tagline": "We help large-scale clean energy developers break ground faster", "body": "**😎 TL;DR**\n\n[Spark](https://www.sparkhq.ai/) is an AI-powered planning and workflow tool for large-scale clean energy developers that lets them break ground faster. Tae and Julia were previously engineering and product leaders at Tesla, Apple, and Brex.\n\nWe are trusted by award-winning solar and battery developers with nearly 1 GW of projects across the US. If you are a utility or community-scale developer, [book a call with us](https://calendly.com/d/4qp-yyt-qxw/spark-demo) to learn more.\n\n![uploaded image](/media/?type=post&id=78596&key=user_uploads/129719/b48282f6-7002-4eba-92e9-dc5307a6c58e)\n\n**🔌 The Problem**\n\nWe are in the midst of a generational energy transition, with solar deployment expanding at an annualized rate of roughly [$500B](https://twitter.com/patrickc/status/1698496805162353029) globally, and the Inflation Reduction Act unleashing another [$400B](https://www.mckinsey.com/industries/public-sector/our-insights/the-inflation-reduction-act-heres-whats-in-it) in federal funding. To meet the soaring demand for clean energy, the US must [build](https://www.motherjones.com/environment/2023/04/electrify-everything-scope-data/) an equivalent amount of clean generation by 2035 to the total electricity supplied by all sources today.\n\nDespite this rapid deployment, utility-scale clean energy developers often spend months assessing and preparing their projects for financing and construction due to varying policies, interconnection, and permitting requirements across jurisdictions. This pre-construction phase is an error-prone and manual effort of researching and aggregating data across thousands of PDFs, websites, and maps.\n\nMany developers find themselves poring over 1000-page documents, engaging expensive consultants, or focusing on a limited number of jurisdictions.\n\nThrough hundreds of conversations with developers, we consistently hear that navigating this \"complex patchwork of jurisdictions, where every state is a snowflake,\" is a major obstacle.\n\n**✨ Enter Spark**\n\nWith Spark, developers can identify requirements, risks, and incentives by leveraging our curated dataset. They can now screen prospective projects in seconds, not weeks.\n\nFor the first time, Large Language Models (LLMs) offer a dramatically simplified method to extract grid interconnection and permitting requirements, zoning ordinances, economics (rates, tax credits, RECs), and a range of unstructured information relevant to renewables development.\n\nBy refining the data specifically for this industry, Spark introduces a new way for developers to navigate through otherwise disparate and cumbersome information.\n\n![uploaded image](/media/?type=post&id=78596&key=user_uploads/295458/976413d4-584e-44fd-8c6e-315509d4c9de)\n\nThese insights are then precisely mapped to individual counties and parcels of land, accelerating the development process significantly.\n\nHowever, Spark’s capabilities extend beyond location diligence and requirement aggregation. Our goal is to re-imagine the development workflow, enabling developers to drastically reduce the time dedicated to mundane tasks such as research, documentation, and portfolio management.\n\n![uploaded image](/media/?type=post&id=78596&key=user_uploads/129719/550c9a08-294e-4944-9369-649919faca48)\n\nOne of our customers, an industry veteran with nearly 20 years of experience, said “I see this tool as my Jarvis.”\n\nOur mission is to empower developers to prioritize human interactions and make strategic decisions about where to invest millions of dollars to electrify the nation’s grid — not the manual, back office work.\n\n[🪄](mailto:founders@sparkhq.ai) **The (Dream) Team**\n\n[Tae](https://www.linkedin.com/in/taehnkim/) built software while sitting inside the Model 3 factory at Tesla, wrote payment systems that processed millions in EV sales as a founding engineer at Lucid Motors’ commerce team, and helped Gen Z find love at Tinder.\n\n[Julia](https://www.linkedin.com/in/wu-julia/) was an engineering manager on the team that automated fraud alerts and dispute filing at Brex. She also built search and cloud infrastructure at Apple and Microsoft and bankrolled her passion for crypto through hackathon prizes on nights and weekends.\n\nHailing from São Paulo, Brazil, where we lived ten minutes apart after our parents immigrated from Korea and China, we embarked on our American dream at 18 for undergraduate degrees in STEM at Georgia Tech and Brown University. Our paths crossed many years later in New York City, through a shared passion for software engineering, infrastructure for society, and startups.\n\n**⚡️ Energized yet?**\n\nAre you (or do you know) a developer of utility or community-scale solar/storage projects? [Book a demo](https://calendly.com/d/4qp-yyt-qxw/spark-demo) or reach out to [founders@sparkhq.ai!](mailto:founders@sparkhq.ai)", "url": "https://www.ycombinator.com/launches/KRg-spark-ai-powered-workflows-for-large-scale-clean-energy-development", "votes": 58, "created_at": "2024-02-21T16:41:20.744Z" }, { "id": 77503, "title": "Dataherald - NL-to-SQL API for developers", "tagline": "Embed NL-to-SQL into your product", "body": "**TL;DR**\n\nDataherald enables you to embed Natural Language to SQL (“NL-to-SQL”) into your product. The NL-to-SQL API, built with an LLM (such as GPT), allows users to conduct no-code data analytics, pull reports, and conduct complex data queries using just natural language.\n\nHi, we’re [Amir](https://www.linkedin.com/in/amir-zohrenejad-72a517184/) and [Anuj](https://www.linkedin.com/in/anujsaigal/) from [Dataherald](https://www.dataherald.com/contact). There have been countless game-changing applications of AI, but one area that has remained uncharted is NL-to-SQL. But fear not - we’re changing that. We’ve built a cutting-edge NL-to-SQL engine, meticulously crafted to be the fastest and most accurate in the market, delivering an unmatched developer experience!\n\n**The Problem**\n\nDevelopers struggle to build NL-to-SQL into products because LLMs do not work out-of-the-box. LLMs do not:\n\n1. Utilize metadata and business definitions since they are not already stored in the relational database\n2. Conduct **complex** SQL queries, such as self joins, multiple sub-queries, or rarer operations like windowing, partitioning, lags, temporal calculations, etc.\n3. Create NL-to-SQL training dataset(s) for fine-tuned models\n4. Assess the accuracy of AI-generated SQL\n\n**The Solution**\n\nDataherald’s API solves these challenges by allowing developers to:\n\n* Add business context from various sources (data dictionaries, DBT, Confluence docs, Google docs, etc.)\n\n![](https://lh7-us.googleusercontent.com/kwye-PT4ors7WmWLdm5AjZN5oprn0XXX2v4i_PkCIYwRvilZ-fixK_9wJGHJo9PU1rjv99kBgEVCB1YX58DYO3HCeNoQlHqLcdURUilLhsYcdiDTVEVcd8DZCrt_1EeHYd-zkjWUukA6I8Ka8epVBCc)\n\n* Identify relevant data tables\n* Fine-tune NL-to-SQL LLMs **(including GPT-4!)** specific to their data\n* Assess confidence levels in AI-generated SQL\n\nAll this happens with a few simple API calls.\n\n![](https://lh7-us.googleusercontent.com/6LVhL2Hbyga7oQ7mGDNORds_IMhmA5oBbrjNjKl4Y3L3rECk4WozWzJQY8jS16X6j9ZGgW-5p1fVqt6flbiZfR138EpYhUmcH9btyJL1ky_y7EIlQ5lEQUYVVVzfzDkjlfDU88y_0mJwDRbMgXWug9M)\n\nDataherald’s NL-to-SQL API unlocks data access wherever needed:\n\n1. Enabling Complex Data Queries in SaaS Apps: For example a large payroll software company uses Dataherald to embed NL-to-SQL into their front end so that users can ask questions like “How much did I spend on full stack engineers in our European offices in Q2 2023 and how is that trending?”\n2. Democratizing Data Insights: Companies integrate our API into Slack, enabling self-serve data requests, and freeing up valuable time for data analysts.\n3. Automate Customer Support with Chatbots: Customer support teams dealing with data-heavy queries leverage Dataherald in chatbots, automating inquiries regarding user data.\n\n![](https://lh7-us.googleusercontent.com/rsI_mjIShLSNZBuwGtOKk8k8Fv0f8rUEjItn0w17y-_rps3jWcWNgvQ6C9Ly9EFxszG7jE3c5DLS_T9lcEiHwYD0Z1nvXNgHB3-qFRAOJM6XL6B0w19JQt_esYJm7qqp6Tg2U1Jh9QvHlWGdohmzUZ4)\n\n**The ASK**\n\n* **Start using today** - send me an email [anuj@dataherald.com](https://mailto:anuj@dataherald.com) to get your API key and start using it today!\n* **Share** - tell your colleagues and friends about [Dataherald](https://dataherald.com/)\n* **YC Companies** - skip the wait list and claim the [YC deal](https://bookface.ycombinator.com/deals/2135) \n* **Open-source engine** is available on [Github](https://github.com/Dataherald)", "url": "https://www.ycombinator.com/launches/KA3-dataherald-nl-to-sql-api-for-developers", "votes": 21, "created_at": "2024-01-15T22:29:20.249Z" }, { "id": 73999, "title": "🚀 Dataherald - Query your structured database in natural language", "tagline": "Enable anyone to get answers to ad hoc data questions in seconds – no SQL needed", "body": "### The TL;DR\n\nRather than waiting hours or days, business users get answers to complex data questions in seconds – all in plain English. Dataherald’s AI-powered natural language to SQL agent gives you answers, fast. It’s like having a data analyst on standby 24/7.\n\n👋 Howdy! - we’re [Amir](https://www.linkedin.com/in/amir-zohrenejad-72a517184/) and [Anuj](https://www.linkedin.com/in/anujsaigal/); we’re building [Dataherald](https://dataherald.com/). We’re on a mission to enable anyone to get answers to their data questions immediately. No longer do you have to click through dozens of BI dashboards or “wait on the data team” to get the answers you need.\n\n### The Problem\n\nWith an ever-increasing volume of data, businesses have invested heavily in BI tools with the aim of providing answers to data questions. These tools often fail to handle complex data queries, leading to a backlog of **ad hoc questions** for the data team, inevitably creating a bottleneck.\n\n**The Data BI “Doom Loop” —** Dashboards inevitably fall short in answering certain data questions, leaving people waiting.\n\n![uploaded image](/media/?type=post&id=73999&key=user_uploads/307611/9c21d382-337a-4bcf-9d06-27be4cd90a5f)\n\n### The Solution\n\nBusiness users want answers to their data questions in the most natural way possible - by simply posing a question in plain language and receiving a response in the same natural language format.\n\nDataherald cuts through the noise, providing quick answers to complex data questions, all in plain English. Users Slack their queries to our bot and receive instant responses.\n\n![uploaded image](/media/?type=post&id=73999&key=user_uploads/307611/9daf452e-4d9e-44a3-b41b-6594bea0391d)\n\nOur natural language-to-SQL agent, supported by an LLM, comprehends questions, identifies relevant data tables, writes SQL queries, and assesses confidence levels in responses. If confidence is low, a member of your data team can review and modify the SQL. Best of all, Dataherald's algorithm continuously improves, delivering more accurate insights over time. Watch the product in action in the link below!\n\n![uploaded image](/media/?type=post&id=73999&key=user_uploads/307611/a55a7b9c-94dd-480d-a489-9393ba36c380)\n\n### \n\n### The ASK\n\n* Join our [**waitlist**](https://www.dataherald.com/contact) and we’ll get in touch ASAP\n* Check out Dataherald in action [**(video link)**](https://5892632.fs1.hubspotusercontent-na1.net/hubfs/5892632/Dataherald%20AI%20-%20Streamline%20your%20teams%20ad-hoc%20data%20questions.mp4)\n* Stay informed about our latest developments by following us on [LinkedIn](https://www.linkedin.com/company/dataherald) and [Medium](https://medium.com/dataherald). Our journey is just beginning!\n* Open-source engine is now available on [**Github**](https://github.com/Dataherald)", "url": "https://www.ycombinator.com/launches/JFX-dataherald-query-your-structured-database-in-natural-language", "votes": 57, "created_at": "2023-08-10T16:58:42.614Z" } ] }, { "id": 29661, "name": "Silurian", "slug": "silurian", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/264e2c359db5aaec1e0417e61bfa018c5458c3dc.png", "website": "https://silurian.ai/", "all_locations": "Seattle, WA, USA", "long_description": "Silurian is building foundation models for simulating Earth, starting with weather. From assessing the risk of wildfires to predicting the energy grid load, we provide an infrastructure layer for our planet. Our frontier models push the boundaries of what can be simulated on Earth and improve decision making across vital sectors including energy, insurance, agriculture, and logistics. \r\n", "one_liner": "Foundation models to simulate Earth, starting with weather.", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1723594839, "tags": [ "Climate", "Insurance", "Agriculture", "Energy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Climate" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/silurian", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/silurian.json", "year_founded": 2024, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/silurianai", "x_url": "https://twitter.com/SilurianAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/silurian-ai/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/264e2c359db5aaec1e0417e61bfa018c5458c3dc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1974056, "full_name": "Jayesh K. Gupta", "title": "Founder/CEO", "founder_bio": "Jayesh is Co-founder and CEO of Silurian AI. Previously he was the Head of AI at Poly Corporation. He led the development of the first foundation model for weather & climate as researcher at Microsoft and was the co-author of Aurora. Jayesh holds a Ph.D. in CS from Stanford.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jayeshkg/", "x_url": "https://x.com/rejuvyesh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b2c8dc753ea95bb3e34ce4114e9431fea3cdea4.jpg" }, { "user_id": 1988161, "full_name": "Nikhil Shankar", "title": "Founder", "founder_bio": "Nikhil is a co-founder and chief engineer at Silurian AI. Previously he was a software engineer at AWS SageMaker and prior to that he dropped out of his PhD in applied mathematics where he was working on problems in fluid dynamics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nikhil-shankar-3090131b7/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9dc04e3799ba4d8f4545296148cba73d66480079.jpg" } ], "jobs": [ { "id": 81736, "title": "Machine Learning Research Engineer / Scientist", "url": "https://www.ycombinator.com/companies/silurian/jobs/eexfBWN-machine-learning-research-engineer-scientist", "location": "Seattle, WA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$120K - $250K", "equity_range": "0.25% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "AI Startups Urge Congress to Preserve Access to Weather Data", "url": "https://www.riskmarketnews.com/ai-startups-urge-congress-to-preserve-access-to-weather-data/", "date": "Jul 21, 2025" }, { "title": "Startup radar: Early stage tech companies making moves in Seattle – GeekWire", "url": "https://www.geekwire.com/2024/startup-spotlight-early-stage-tech-companies-making-moves-in-seattle/", "date": "Oct 25, 2024" }, { "title": "9 startups that stood out on YC Demo Day 2 | TechCrunch", "url": "https://techcrunch.com/2024/09/26/9-startups-that-stood-out-on-yc-demo-day-2/", "date": "Sep 26, 2024" } ], "launches": [ { "id": 83141, "title": "Silurian - Simulate the Earth", "tagline": "Foundation models for simulating Earth, starting with weather. ", "body": "# **The Problem**\n\nEvery day, crucial decisions are made based on outdated geospatial simulations. \n\nInsurance companies guess more than they would like about hurricane risks. Airports can't predict tomorrow's delays, let alone next week's. Meanwhile, utilities are crossing their fingers every heatwave that the grid won't collapse.\n\nEarth’s simulation infrastructure needs an upgrade.\n\n# **The Solution**\n\n![uploaded image](/media/?type=post&id=83141&key=user_uploads/1992622/3f194f0b-cfe1-4af7-a41a-e12d0d081aa7)\n\nToday, [Silurian](https://silurian.ai/) is announcing the launch of GFT (Generative Forecasting Transformer), a 1.5B frontier model that simulates global weather up to 14 days ahead at approximately 11km resolution with unprecedented accuracy. Our model outperforms numerical weather prediction systems from the American (NOAA) and European (ECMWF) agencies by up to 30% across multiple variables. \n\nRemember Hurricane Beryl? In a simulation (shown above) run on the 1st of July, GFT correctly predicted that the hurricane would hit Texas. In contrast, the NOAA and ECMWF models wrongly predicted a landfall in Mexico, as [The New York Times](https://www.nytimes.com/interactive/2024/07/29/science/ai-weather-forecast-hurricane.html) recently reported. \n\nGFT is immediately available to our customers via our **Artificial Planetary Intelligence (API)**. The API allows users to easily query our models at any location on Earth, and it will become publicly available in the next few weeks. \n\n![uploaded image](/media/?type=post&id=83141&key=user_uploads/1992622/aadb6eff-4273-443f-abab-ff9244da3dcf)\n\nGFT is only the beginning. We are working towards state-of-the-art simulation infrastructure for verticals such as energy, climate, and agriculture.\n\n# **Team**\n\nWe are a team of scientists and engineers with years of experience in building large-scale AI simulations at Microsoft Research and Google Brain. Our work on weather and atmospheric chemistry simulations at Microsoft has been featured in [Nature](https://www.nature.com/articles/d41586-024-01677-2), [Bloomberg,](https://www.bloomberg.com/news/articles/2024-06-25/from-trump-to-ai-bill-gates-sees-climate-impacts-for-the-world) and [The Wall Street Journal](https://www.wsj.com/tech/ai/ai-is-learning-to-predict-the-weather-8968fa7c?st=d0o2so2v9r14bf2&reflink=desktopwebshare_permalink).\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXd9eEb9mwTRMRPXQpJ6vkWtFRoUpGCc5sXpXIukdbAGyLsmWCAoqAKCOwXLbWfQZuFuGxg4Mu6qNyRHpIsoRKYlhDbnr8Qx0XCnUl26oa_T2ftzOsL4W3BijCebKj6OXA4oUoXWDnrqjJnqDIvGJz-SP5RL?key=P6HArdzTsIyNOARHbY8cEw)\n\n# **Our Ask**\n\nDo you want to talk about the weather? Reach out to us at [founders@silurian.ai](mailto:founders@silurian.ai)! ", "url": "https://www.ycombinator.com/launches/Lcz-silurian-simulate-the-earth", "votes": 46, "created_at": "2024-08-16T23:09:17.361Z" } ] }, { "id": 29667, "name": "Rewbi", "slug": "rewbi", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/05452330a078be465b5353a9b54ad87966552d0b.png", "website": "https://www.rewbi.com/", "all_locations": "San Francisco, CA, USA", "long_description": "A stealth mode startup.", "one_liner": "A stealth mode startup.", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1724874761, "tags": [ "B2B", "Energy", "Renewable Energy", "Cloud Computing", "ClimateTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rewbi", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/rewbi.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rewbi", "x_url": "https://x.com/rewbienergy", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/05452330a078be465b5353a9b54ad87966552d0b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 600101, "full_name": "Thomas Marge", "title": "Founder/CEO", "founder_bio": "Thomas is co-founder and CEO of Rewbi, which uses AI to optimize grid-connected battery storage. He previously founded inBalance, a YC W21 company, which was acquired by Stem (NYSE: STEM) in January of 2023. He led battery storage optimization and forecasting for Stem. He completed part of a Pure Mathematics PhD at University of Cambridge, which he left to build inBalance. He holds a Masters in Applied Mathematics and B.S.E. in Pure and Applied Mathematics from Johns Hopkins, graduating early.", "is_active": true, "linkedin_url": "https://linkedin.com/in/thomas-marge", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e928aa8f09dd229ceedcffa08968ba2649d89e7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83622, "title": "Rewbi - Using AI to optimize grid-connected battery storage", "tagline": "Rewbi more than doubles grid-connected battery storage revenue.", "body": "**We’re Rewbi!**\n\n**Rewbi uses AI to optimize grid-connected battery storage.** We generate revenue by charging batteries when electricity is cheap and discharging when electricity is expensive.\n\nWe rent battery storage for a fixed fee per month, and we earn **more than double** that fee in monthly revenue by dispatching the battery optimally.\n\nToday, power companies use human traders to manually track grid conditions and update the battery’s dispatch schedule. However, batteries can adjust their power output **100x faster** than traditional power generation (e.g., hydro, coal, nuclear, gas), with the ability to go from full-speed charging to full-speed discharging in under a minute. **Electricity prices change every 5 minutes, often by 300% or more.** Our AI better tracks 100s of live inputs, and it makes decisions faster than a human operator (with lower overhead), **more than doubling revenue**.\n\nSince starting YC, we’ve joined ERCOT (the Texas grid operator) as a registered power company.\n\n**Our Team**\n\n[Thomas](https://linkedin.com/in/thomas-marge) has built battery dispatch (and wind farm optimization) solutions for the past 8 years, including as founder of inBalance (YCW21, acquired by Stem, Inc. in January of 2023). [Derek](https://linkedin.com/in/derekmod) wrote his first commodity trading and risk management algorithm for a fund when he was 18, and he was the first technical hire at Adept - his models were used to raise over $400m. We’ve known each other for a decade - we met working together on grad level math courses as freshmen at Hopkins.\n\n**Asks**\n\nWe would love to speak with battery storage developers - message us at or email us at [founders@rewbi.com](mailto:founders@rewbi.com)!\n\n![uploaded image](/media/?type=post&id=83622&key=user_uploads/89898/0f214291-26b7-4259-a61d-55904a9d8616)\n\n![uploaded image](/media/?type=post&id=83622&key=user_uploads/89898/503ce453-7532-40ea-b307-9e0f0c5827b3)\n\n", "url": "https://www.ycombinator.com/launches/Lkk-rewbi-using-ai-to-optimize-grid-connected-battery-storage", "votes": 26, "created_at": "2024-08-30T16:53:42.510Z" } ] }, { "id": 29701, "name": "Plume", "slug": "plume", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/848a0a716b3d688b2054184d78580f9988c075be.png", "website": "http://www.plumefinder.com", "all_locations": "Paris, Île-de-France, France", "long_description": "Plume is an AI-powered geospatial platform for site selection in energy infrastructure projects. \r\n\r\nSelecting the right sites requires analysis of +50 geospatial, grid, and regulatory constraints across fragmented data sources. \r\n\r\nPlume changes the process by enabling users to interact with geospatial data using natural language.", "one_liner": "Renewable infrastructure deployment at scale.", "team_size": 9, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1724527338, "tags": [ "Solar Power", "B2B", "Energy", "AI", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Climate" ], "regions": [ "France", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/plume", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/plume.json", "year_founded": 2024, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/plumefinder", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/848a0a716b3d688b2054184d78580f9988c075be.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1849325, "full_name": "Marc W", "title": "Founder/CEO", "founder_bio": "Accelerating Energy Transition", "is_active": true, "linkedin_url": "", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cc492a3fdcb483089ddfe723e8fdda16d3e44ba3.jpg" }, { "user_id": 1919563, "full_name": "Edouard Labarthe", "title": "Founder/COO", "founder_bio": "Unlocking renewable infrastructure deployment at scale.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edouard-labarthe/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7795c4349c7d79be0ebce201fb21ab49448d0888.jpg" } ], "jobs": [], "news": [ { "title": "[L’acteur de la semaine] « Plume » facilite l’accès des développeurs au foncier – pv magazine France", "url": "https://www.pv-magazine.fr/2025/08/25/lacteur-de-la-semaine-plume-facilite-lacces-des-developpeurs-au-foncier/", "date": "Aug 24, 2025" } ], "launches": [] }, { "id": 30083, "name": "Curo", "slug": "curo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/451b623d0d8d5338642a73d361cc7f15a4cca9bc.png", "website": "https://www.curocharging.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Acquired by Inspiration Mobility Group.\r\n\r\nFleet EV charging and parking marketplace that scaled to 15+ states for companies like Google, Uber, Zoox, Zipcar, Cox Enterprises, Boston Properties and Irvine Company.\r\n\r\nRaised $6M+ from YC, Blue Bear, Not Boring, Eniac and others.\r\n\r\n\r\n\r\n\r\n\r\n", "one_liner": "Electric fleets park and charge anywhere with Curo", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Automotive", "launched_at": 1728353435, "tags": [ "Transportation", "Energy", "Automotive" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Acquired", "industries": [ "Industrials", "Automotive" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/curo", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/curo.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/curocharging/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/451b623d0d8d5338642a73d361cc7f15a4cca9bc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1159251, "full_name": "Kieran White", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at Mantle, the pit crew for deployed machines and robots.\n\nPreviously founded Curo (YC F24), the world's largest private EV charging network. Curo scaled to 5,000 stations with Uber, Zoox and Google across 15 states before acquisition by Inspiration Mobility Group ($415M raised).\n\nBefore Curo I joined Tesla at 18 as the youngest employee.", "is_active": false, "linkedin_url": "https://linkedin.com/in/kieran-luke-white", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7be1f2e4cf0534df456c1bb228513defaf8da7bc.jpg" }, { "user_id": 1159581, "full_name": "Andrew Porter", "title": "Founder/CTO", "founder_bio": "Andrew Porter co-founded and was CTO of Curo (YC F24, acquired), where he used ML to consolidate parking and charging data and built its marketplace and charging app. At Candle, he builds the mobile app, backend, recommendations, games like Pictionary with AI, and tools for video generation and creator management. Previously, he worked at DraftKings. He holds degrees in mathematics and economics from Occidental College.", "is_active": false, "linkedin_url": "https://linkedin.com/in/andrew-porter-a10953b4", "x_url": "https://x.com/EnergizedAndrew", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/df9c35d2ec3234ecc500bed47cdd216c41ba4963.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 84703, "title": "Curo: Electric fleets lease EV charging spots from owners", "tagline": "Electric fleets park and charge anywhere with Curo.", "body": "👋 Hey everyone! We’re [Andrew](https://www.linkedin.com/in/andrew--porter/) and [Kieran](https://www.linkedin.com/in/kieran-luke-white/), co-founders of [Curo](http://www.curocharging.com)!\n\n# **TL;DR**\n\nOne of the key reasons **fleets struggle to electrify** is **charging issues**, and **EV charger usage** is **painfully low**. Curo’s platform helps EV charger owners lease their charging spots during low usage times to fleets when they need them most. Curo helps **fleets electrify instantly**, at a **fraction of the cost** and **increases** **EV charger owners’** **revenue by 5x**. We work with some of the largest charging owners and fleets, helping us to **grow 100% MoM for the past 4 months.** \n\n\n\n# 🤯 **Problem: Electrification faces two huge challenges**\n\n1. 🚘 **Fleets** **(especially distributed ones)** **struggle** **to electrify at scale**: EV chargers can cost thousands of dollars and take years to install, even then installation may not be feasible due to land ownership and operating model. It’s really hard. \n2. 🔌 **EV charger usage** **and** **return on investment is painfully** **slow**: private chargers can’t be monetized due to security and liability barriers, with public chargers not being set up for long-term, exclusive use.\n\nBy 2030, there are expected to be 9 million electric vehicles in fleets, which, together with public vehicles, requires support from an estimated 40 million new EV chargers. We currently have well under 1 million installed. That’s pretty daunting.\n\nEV chargers have to be used way more effectively for us to stand a chance at supporting millions of electric fleet vehicles.\n\n# 🛟 **Solution: Curo - The Virtual Depot Platform**\n\nCuro’s platform helps EV charger owners lease their charging spaces during low usage times to fleets when they need them most (picture an office building hosting a fleet overnight when employees go home).\n\n![uploaded image](/media/?type=post&id=84703&key=user_uploads/1159251/862f55be-f893-4677-bad3-66b353890cf4)\n\nWe make it easy for fleets to identify, plan, and launch at spots they’ve leased and derisk EV charger owners sharing their assets, including legal, security, insurance, and payments.\n\n![uploaded image](/media/?type=post&id=84703&key=user_uploads/1159251/51d0e977-5097-4a60-90b8-7461fd08d490)\n\nCuro allows fleets to park and charge anywhere using immediately available and scalable infrastructure, with no upfront cost. We call this a \"Virtual Depot” because each site has the utility of a fleet’s traditional depot, distributed in a virtual network.\n\n# **🙏 Ask: Share this post**\n\n* Do you know **anyone with EV chargers at a commercial property** or have an interest in installing them? We’d love to help monetize their space.\n* Does a **fleet manager** come to mind? We can help them park and charge right away. \n\nWe’ve distributed one of Tesla's largest electric fleets and worked on awesome things at DraftKings. We’re excited to be building with the YC community.\n\nThanks for reading!\n\nTeam Curo\n\n![uploaded image](/media/?type=post&id=84703&key=user_uploads/1159251/0d87179d-8201-4a16-9ab4-f15687832642)\n\n![uploaded image](/media/?type=post&id=84703&key=user_uploads/1159251/6ab8934d-947f-4a32-a717-7782d98217d2)\n\n", "url": "https://www.ycombinator.com/launches/M2B-curo-electric-fleets-lease-ev-charging-spots-from-owners", "votes": 35, "created_at": "2024-10-11T14:55:42.709Z" } ] }, { "id": 30201, "name": "Dartboard", "slug": "dartboard", "former_names": [ "Dartboard Energy" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e6b5a6279db8d201fef41a88a35c1d4c0828744e.png", "website": "https://dartboard.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Dartboard is the modern remote operations center for hardware fleets. We pair expert operators with AI agents to identify, diagnose, and fix issues faster.", "one_liner": "AI-native remote operations center for hardware fleets", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1739492408, "tags": [ "Hardware", "Robotics", "Energy", "AI", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/dartboard", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/dartboard.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dartboard-ai/", "x_url": "https://x.com/dartboard_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e6b5a6279db8d201fef41a88a35c1d4c0828744e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 44103, "full_name": "Rohun Ati", "title": "Founder/CEO", "founder_bio": "CEO at Dartboard. 10th employee and data scientist at Second Measure (YC S15), stayed through its acquisition by Bloomberg. Built the data pipelines for a first-to-market credit card transaction dataset, now powering the Bloomberg Terminal. Later worked at AutoGrid forecasting battery revenues across U.S. power markets. Built ERCOT benchmarking software used by utility-scale battery operators including Spearmint Energy and UBS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rohunati", "x_url": "https://twitter.com/rohunati", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1797a7c71f5ed6498665c5cf7dde48d71e005ff5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87687, "title": "Dartboard Energy: AI Analyst for Electricity Markets", "tagline": "Uncover missed revenue for grid-connected battery owners while staying compliant", "body": "We’re building an AI Analyst for Electricity Markets, starting with the owners of grid-connected battery projects.\\\n\\\n\n\n**Context**\n\nBattery owners earn revenue by charging (buying) and discharging (selling) power in electricity markets.\n\nThe goal is to maximize revenue within constraints – some of which are physical, like battery capacity, duration, and efficiency, while others are regulatory. This is challenging because (1) markets are volatile and (2) complex and frequent regulatory updates make it difficult to assess both the revenue impact of rule changes and compliance risks.\n\n**Problem**\n\nTo make money on the grid, battery owners must analyze market data and keep up with thousands of constantly changing regulatory documents. Electricity markets work like auctions -- every 5 minutes, battery owners decide how much power to buy or sell and at what price. Even the most data-savvy teams can’t keep up, leaving owners with little visibility into how others are making money. And rule changes aren’t just small tweaks – they can completely upend the market. To avoid financial penalties, battery owners spend millions on lawyers and consultants just to stay compliant.\n\n**Solution**\n\nDartboard is an AI Analyst that uncovers missed revenue for owners of grid connected batteries while ensuring compliance. We provide value in two key ways:\n\n* **Market Intelligence:** We ingest historical market data so that owners can evaluate optimization strategies and uncover money they might be leaving on the table.\n* **Regulatory Guidance:** Our AI Analyst, trained on the latest rule changes, translates complex regulations into clear, actionable insights — helping owners navigate compliance without the need for expensive consultants.\n\n**Asks**\n\nIf you know any developer/owner/operators of grid-scale battery projects, energy traders, or energy-focused private equity investors, we’d love to meet them. Please reach out at [**rohun@dartboardenergy.com**](mailto:rohun@dartboardenergy.com).\n\n![uploaded image](/media/?type=post&id=87687&key=user_uploads/44103/4c267efd-7f8c-4bec-b718-7d5b6a16c3b4)\n\n", "url": "https://www.ycombinator.com/launches/MoJ-dartboard-energy-ai-analyst-for-electricity-markets", "votes": 23, "created_at": "2025-02-14T01:49:36.560Z" } ] }, { "id": 30202, "name": "Astro", "slug": "astro", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/988eb2e2b20c2a99fe4d96b54932cdebea0632d4.png", "website": "https://www.astroenergy.ai/", "all_locations": "New York City, NY, USA", "long_description": "Astro develops power-ready land for AI data centers. Power is now the bottleneck for new data centers, and Astro’s models find the sites that have it. Founder Alex Fuster traded grid congestion at Citadel across US power markets, predicting where the grid would run out of room.", "one_liner": "Power-ready land for AI data centers", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1739813505, "tags": [ "Solar Power", "Energy", "Renewable Energy", "ClimateTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/astro", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/astro.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/astro-energy-inc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/988eb2e2b20c2a99fe4d96b54932cdebea0632d4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 2392441, "full_name": "Alex Fuster", "title": "Founder/CEO", "founder_bio": "Founder and CEO at Astro. Traded grid congestion at Citadel. Stanford BS in physics and MS in computer science.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-f-573560101/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f727d7a0d23b22ac364221ad69d6a33eda2ece67.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87853, "title": "Astro: The world’s first AI energy developer", "tagline": "We use AI to de-risk early development, creating ready-to-build renewable energy projects", "body": "Astro uses AI to find and buy land for new renewable energy projects, secure agreements to connect them to the power grid at minimal costs, and then sell these development-ready projects to larger energy companies.\n\n**The Problem**\\\nThe renewable energy transition faces a critical bottleneck: the US needs to add 2,000 gigawatts of new power generation by 2035 to support growing electricity demand from AI data centers and electrification.  Building these new power plants requires finding suitable land and connecting them to the grid - but this is where projects fail. Most potential locations are unprofitable because developers discover too late that they need to spend millions upgrading power lines and infrastructure for grid connection. Traditional energy developers spend months evaluating single locations, only to have projects die when they discover these hidden costs.\n\n**The Solution**\\\nAstro’s proprietary AI models predict these grid connection costs upfront, enabling it to buy the most profitable land before costs increase. Astro’s models handle all the early development work - from finding the right location to securing grid connection agreements - creating a pipeline of development-ready projects that larger energy companies can immediately start building.\n\n**Backstory**\\\nI’m Alex, I studied physics + computer science at Stanford and was an energy trader at Citadel. While trading energy markets, I discovered that power grid congestion patterns are highly predictable - but developers aren’t using this data. This insight led me to build models that identify the best land to buy and prepare for larger developers to build on.\n\n**Ask**\\\nWe’re looking to connect with:\n\n* Energy companies interested in buying development-ready projects (land secured + grid connection approved)\n* Landowners and brokers near major transmission lines in central Illinois\n* Power systems engineers with interconnection study experience\n\nIf you’re interested in accelerating the clean energy transition or have expertise in any of these areas, I’d love to chat! You can reach me at [alex@astroenergy.ai](mailto:alex@astroenergy.ai)\n\n![uploaded image](/media/?type=post&id=87853&key=user_uploads/89898/f2583845-46e4-471f-8932-1fbc09d4e105)\n\n", "url": "https://www.ycombinator.com/launches/Mqz-astro-the-world-s-first-ai-energy-developer", "votes": 37, "created_at": "2025-02-20T17:18:28.843Z" } ] }, { "id": 30224, "name": "Maritime Fusion", "slug": "maritime-fusion", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2af0192d25e843e5333e635fa35115413fbca155.png", "website": "https://maritimefusion.com", "all_locations": "San Francisco, CA, USA", "long_description": "Maritime Fusion is building fusion reactors for ships and off grid energy markets. En route on this endeavor we’re commercializing High Temperature Superconducting (HTS) cable technology for power distribution while advancing the physics basis of our HTS tokamak to decarbonize global shipping. \r\n\r\nBreakeven fusion is coming soon, but the first-of-a-kind (FOAK) reactors will be costly, high maintenance, and have low capacity factors, leading to 5–10x higher electricity cost on the grid. Maritime Fusion is pursuing the most widely accepted approach to fusion, the tokamak, but specifically designed for the marine environment where the challenges that arise between breakeven and a commercially viable energy source are alleviated. The market we're targeting requires 15x less power, lower up-time, and costs the same as alternative fuels but without any emissions. Since fusion does not use highly radioactive fuels or materials – unlike fission – we sidestep the vast majority of regulatory challenges and safety risks associated with nuclear energy. Our team brings over a decade of industry and research experience in plasma physics, nuclear engineering, and electrical engineering with backgrounds at SpaceX, Tesla, Columbia University, and University of Pennsylvania.", "one_liner": "Fusion reactors for ships", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1739572830, "tags": [ "Fusion Energy", "Hard Tech", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/maritime-fusion", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/maritime-fusion.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/maritime-fusion", "x_url": "https://x.com/maritimefusion", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2af0192d25e843e5333e635fa35115413fbca155.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2336806, "full_name": "Justin Cohen", "title": "Founder/CEO", "founder_bio": "Nuclear engineer and plasma physicist working on fusion reactors for defense and commercial shipping applications. Previously Tesla, SpaceX, Columbia University, Princeton Plasma Physics Laboratory, NC State.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/justin-cohen707", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c63b262e560db673d53a59a25f5d906a3b7acaef.jpg" }, { "user_id": 2364454, "full_name": "Jason Kaufmann", "title": "Founder/CTO", "founder_bio": "I'm a hardware engineer with a passion for building cool electronics and systems. With a background in physics and computer engineering from Penn, I've worked on everything from AI hardware at Tesla to power systems for rockets at SpaceX. 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Additionally, these reactors face significant physics challenges for steady-state operation, such as managing first wall heat flux and mitigating nuclear activation of structural components that require novel materials to solve.\n\n**The Solution**\\\nWe are leveraging the most proven approach to fusion energy, the HTS tokamak, but designed specifically for maritime applications. This reactor bridges the gap between achieving breakeven fusion and commercial viability. Our target market, commercial shipping vessels, require 15x less power and lower uptime compared to traditional grid reactors all while matching the cost of alternative bunker fuels—without any emissions. Operating at reduced power densities also alleviates many of the materials hurdles, paving the way for a more robust and reliable technology in the near term. We’re also leveraging the same reactor to meet the Department of Defense’s need for mobile power plants via Ship-to-Shore power.\n\n![uploaded image](/media/?type=post&id=87909&key=user_uploads/2336806/28482a6e-e905-4e36-9aad-41bd64336dff)\n\n**Who We Are**\\\nOur team brings over a decade of industry and research experience in plasma physics, nuclear engineering, and electrical engineering with backgrounds at SpaceX, Tesla, Columbia University, and University of Pennsylvania. We first met at SpaceX while conducting radiation tests for Starship electronics, and later worked together at Tesla on Cybertruck and Optimus.\n\n![uploaded image](/media/?type=post&id=87909&key=user_uploads/2336806/3b3e4061-2aff-4cb0-a183-5755dc8fae50)\n\n**How the YC Community Can Help**\\\nWe’re in process of making inroads to the Department of Defense, Navy, DARPA, and Department of Energy, as well as connections to the commercial shipping industry, if you know anyone we should speak with please reach out!\\\n[maritimefusion.com](http://maritimefusion.com)\\\n[founders@maritimefusion.com](mailto:founders@maritimefusion.com)", "url": "https://www.ycombinator.com/launches/Mrt-maritime-fusion-fusion-reactors-for-ships", "votes": 28, "created_at": "2025-02-21T20:38:05.707Z" } ] }, { "id": 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": 31219, "name": "Voxel Energy", "slug": "voxel-energy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/74fcdd0e430ec52b7926e6bf7ffe4e4cbb1b2571.png", "website": "https://voxelenergy.com/", "all_locations": "", "long_description": "The best grid connection is no grid connection. Voxel builds vertically integrated energy generation and storage systems for data centers that bypass utility connection delays. \r\n\r\nBy leveraging the vast supply of second-life EV batteries and our novel DC microgrid architecture, Voxel generates datacenter power on site and drastically reduces system cost and time-to-power.", "one_liner": "Energy independent data centers with solar and repurposed batteries. 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", "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": 31226, "name": "Libra Robotics", "slug": "libra-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e588f98ac537da3d55ea3c2b43b0bd505524c7f8.png", "website": "https://www.librabots.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Infrastructure faces rapid expansion and labor shortages. Today, robots struggle to scale to meet customers’ high-mix work needs. Libra builds AI that engineers robots for new tasks across embodiments. We go from each new infra task to field-deployable robots 10x faster. Today, our robots are working on solar farms and piloting in data centers. Contractors pay for completed work as a service, not robots.", "one_liner": "The robot workforce for infrastructure", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1783647531, "tags": [ "Hard Tech", "Robotics", "Construction", "Energy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/libra-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/libra-robotics.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/librabots", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e588f98ac537da3d55ea3c2b43b0bd505524c7f8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 3178817, "full_name": "Jermaine Zhao", "title": "Founder/CEO", "founder_bio": "Full-stack robotics engineer with an EE & ME background from Stanford. Built and deployed robots across industrial automation, agriculture, and utility-scale solar. Founder of Libra Robotics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jermaine-zhao-9439202a2/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/54d431097cd70fba6fbe8902e21879a923482e82.jpg" }, { "user_id": 2782328, "full_name": "Yaojing Huang", "title": "Founder/COO", "founder_bio": "Stanford Civil Engineering+CS | PhD defended in Construction Robotics\n\nDissertation on shared robotic platforms and reusable construction skills across tasks. Research at Center for Integrated Facility Engineering and the Stanford Robotics Center; taught Stanford’s Construction Robotics course; worked with 40+ contractors and robotics companies worldwide.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yaojing-h-0b903620b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9f3184f01d6822e5211831c041bd669f65ee31b5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 122276, "title": "Libra Robotics: The robot workforce for infrastructure", "tagline": "One intelligence layer, many robots. Across solar farms, data centers, and beyond.", "body": "Hey everyone 👋 We're Jermaine and Yaojing, co-founders of Libra Robotics. **We'll present & demo at YC's F26 Demo Day!** If you're attending, we'd love to connect.\n\n**TL;DR:** Infrastructure faces rapid expansion and labor shortages. Today, robots struggle to scale to meet customers’ high-mix work needs. Libra builds AI that engineers robots for new tasks across embodiments. We go from each new infra task to field-deployable robots 10x faster. Today, our robots are working on solar farms and piloting in data centers. Contractors pay for completed work as a service, not robots.\n\n\n\n\\[A simplified walkthrough of how Libra’s AI takes a real data center customer's task from initial requirements to robotic deployment - autonomously designing, simulating, testing, and improving along the way.\\]\n\n**The Problem**\n\nInfrastructure has a labor shortage. Robotics has a scalability problem.\n\nUnlike factories, infrastructure work is high-mix: tasks, designs, and environments constantly change. Single-task robots need custom engineering per task; general-purpose robots need enormous data to become reliable. **Neither scales to thousands of changing tasks.**\n\n**Our Approach**\n\nInstead of building one robot that does everything, we build **reusable robotic capabilities and AI that engineers them into new tasks.**\n\nMany infrastructure tasks share the same physical challenges: handling heavy components, precise positioning, alignment, and fastening. We've built a common set of robotic capabilities around these operations, designed to work across different robots and installation tasks.\n\nOur hardware-agnostic AI selects the right robot configuration and tooling, reuses existing skills, and engineers what is missing for each new task, reducing the need for custom engineering.\n\nIt validates solutions in simulation, then autonomously designs and runs physical experiments on our in-house robotic testbeds, stress-testing solutions against real-world variability (such as unexpected obstacles, changing environmental conditions, etc.). When a test fails, the system **diagnoses the failure, recovers, and iterates autonomously** - without human engineers in the loop. Through **recursive self-improvement (RSI)**, it continuously refines its approach toward field-ready performance.\n\n**Every task adds reusable knowledge, making the next one faster and cheaper to automate.**\n\n**GTM & Traction**\n\n**We deploy AI-powered robot crews to perform infrastructure work**, starting with solar installation and data center electrical work, including prefab MEP and busway installation. \n\n**We're already beyond the lab:**\n\n→ **Robots already deployed** on real solar construction sites\n\n→ **Signed commercial agreements** for solar installation\n\n→ **Data center pilots underway** for MEP automation\n\nWe land with one high-value task, then expand into more work for the same customer. Our goal is to achieve 100 million hours of robotic work annually by 2031.\n\n![uploaded image](/media/?type=post&id=122276&key=user_uploads/3178817/7e72e897-d6d4-4ed6-a547-0f5889a68de0)\n\n\\[Libra’s robots in action on solar farms\\]\n\n**Who We Are**\n\nYaojing did her Stanford PhD on the exact problem Libra solves: one shared robotic platform with reusable skills that generalizes across construction tasks. She has worked with 40+ contractors and construction robotics companies.\n\nJermaine previously led a team to build and deploy autonomous agricultural harvesting robots from the ground up, tackling complex manipulation, precision harvesting, and multi-robot coordination in unstructured real-world environments. He brings end-to-end experience turning robotics research into reliable, field-deployed systems.\n\n**Our Ask**\n\nWe're looking for introductions to:\n\n* **Data center GCs, EPCs & Prefab contractors** interested in deploying robots for prefab MEP installation, busway installation, and other electrical fit-out tasks.\n* **Solar EPCs & installers** with upcoming utility-scale projects interested in robotic installation.\n* **Robotics engineers & researchers** working on sim-to-real, autonomous robot engineering, and multi-embodiment learning who want to build with us.\n* **Investors** who are interested in backing the robot workforce companies for AI era.\n\nKnow someone we should talk to? We'd love an introduction!\n\nReach us at [founders@librabots.com](mailto:founders@librabots.com).", "url": "https://www.ycombinator.com/launches/VoC-libra-robotics-the-robot-workforce-for-infrastructure", "votes": 14, "created_at": "2026-10-15T15:49:58.924Z" } ] }, { "id": 31512, "name": "Aernata", "slug": "aernata", "former_names": [ "Pentagon" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab4158325222f50847060cb687cc1b6c81e65dbc.png", "website": "https://aernata.com", "all_locations": "San Francisco, CA, USA", "long_description": "Aernata is an American chemicals company producing clean fuel from industrial emissions.\r\n\r\nWe're starting by converting CO2 to methanol for synthetic fuel production.", "one_liner": "Making clean methanol out of CO2.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1775312221, "tags": [ "Carbon Capture and Removal", "Alternative Fuels", "Climate", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/aernata", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/aernata.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/aernata", "x_url": "https://x.com/aernata", "fb_url": null, "cb_url": null, "github_url": "https://github.com/aernata", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab4158325222f50847060cb687cc1b6c81e65dbc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 402484, "full_name": "Edgar Pavlovsky", "title": "Founder", "founder_bio": "Founder @ Aernata (P26) - an American chemicals company producing clean fuel from industrial emissions.\n\nPreviously founded: marginfi (DeFi lending on Solana), mtndao (Solana's largest builder community), a trading firm & a logistics SaaS.\n\nBefore that: Uber, Goldman Sachs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edgarpavlovsky/", "x_url": "https://x.com/edgarpavlovsky", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b30edf88abaa421a8619ecae8211bf532982bbb.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101681, "title": "Pentagon - A coordination layer for humans and agents.", "tagline": "A new kind of team: humans and agents, working together.", "body": "Hey YC! I'm [Edgar](https://www.linkedin.com/in/edgarpavlovsky/), building [Pentagon](https://pentagon.run).\n\n**TL;DR** Agents are everywhere but they don't have good ways to work together, so humans become the coordination bottleneck. Pentagon is a coordination layer where your agents communicate autonomously, coordinate on tasks, and get work done as a team.\n\n**Book a demo and see it in action:** \\\n**Our launch video:** \n\n**Problem**\n\nAgents are increasingly becoming AI teammates at work - coding, researching, ops, even talking to customers. But they work alone. Coordination is the bottleneck, and it shows up differently depending on where you sit:\n\n* **Small teams** are spinning up agents from scratch and immediately hitting the ceiling: each one is powerful on its own, but getting them to actually work together means you're back in the loop, copy/pasting between terminals.\n* **Enterprises** already have agents running everywhere across the org. The hard part is figuring out what they're doing, how they fit together, and how to keep track of it all.\n\nUnderneath both: humans are the middleware. Hours of human time burnt doing work meant for a mechanical turk. Today's tools weren't built for this - AI products are conversational and non-deterministic, and reproducing workflows is harder than ever.\n\n**Org code**\n\nThere's a deeper layer to this. Great teams are built for the moment - the right team depends on the problem at hand, the resources you have, and even who's leading. This applies to agents the same as it does to humans: every problem has its own org structure.\n\nAndrej Karpathy calls it \"org code\" - and points out that compared to classical orgs, agentic codes have powerful new properties: they’re reproducible and more transparent. We think that agents also allow organizations to be much more dynamic: they can adapt to problems in realtime, and open a new dimension of what it means to build a productive organization.\n\nFrom [a popular Karpathy tweet](https://x.com/karpathy/status/2031767720933634100):\n\n![Image](https://pbs.twimg.com/media/HIts8HMaIAAKjok?format=jpg&name=medium)\n\n**Our first solution: Pentagon Studio**\n\nPentagon's mission is to build the coordination layer for humans and agents. We're starting with Pentagon Studio - a workspace designed to feel familiar to existing alternatives and shepherd companies into a new kind of collaborative work.\n\n![uploaded image](/media/?type=post&id=101681&key=user_uploads/402484/286ecb28-a420-4390-81cf-f1c1b181ec5c)\n\nIn Pentagon Studio, you define your org structure and your agents run it. Agents live on a spatial canvas and pop up sticky notes with status updates - you see who's active, idle, or blocked at a glance. They message each other, delegate tasks, share context, and build self-evolving memory over time. As the human, your job is to design and manage the team; they do the coordination.\n\n* **Spatial canvas.** Agents live on infinite canvases you can think of like an office. Zoom in on one agent's conversation, zoom out to see the whole operation. The \"org IDE.\"\n* **Autonomous coordination.** Realtime, event-driven communication between agents - no expensive polling loops. Agents take feedback from you, ping another agent to get work done, then ping you when they need you.\n* **Agent persistence.** Agents maintain sessions indefinitely and compound institutional knowledge over time. Tribal knowledge for your agent team.\n* **Shared skills & tools.** Manage capabilities at individual, team, workspace, or org level. Each agent inherits based on hierarchy.\n* **Human multiplayer + human-in-the-loop.** In contrast to \"zero-human company\" angles, we see humans and agents collaborating across shared orgs. Your agents should be able to work with your coworkers' agents.\n\n**Why now**\n\nAgents are already inside companies. The infrastructure to coordinate them isn't. Every day this gap stays open, humans burn hours doing work meant for a mechanical turk and leaders lose transparency into how work actually gets done.\n\nWe believe the best version of the future is one where superintelligent agents are viewed as teammates and we work with them as partners. Every company already knows how to work with coworkers - agents fit into existing organizational frameworks better than we've been giving them credit for. They just need the infrastructure to coordinate.\n\n**Ask**\n\nIf you're running agentic workflows in production and struggling to manage them, we’d love to chat. See Pentagon Studio in action and book a demo with us at or reach out to me personally, and let’s evolve your team: [edgar@pentagon.run](mailto:edgar@pentagon.run).\n\n![uploaded image](/media/?type=post&id=101681&key=user_uploads/402484/eb375bb3-1851-449f-9953-0daea8bee1b2)\n\n", "url": "https://www.ycombinator.com/launches/QS1-pentagon-a-coordination-layer-for-humans-and-agents", "votes": 12, "created_at": "2026-05-20T23:57:21.091Z" } ] }, { "id": 31858, "name": "Torus", "slug": "torus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/79a2f7b5a083998db3fcc9309c0435a2ccb05016.png", "website": "https://www.usetorus.com", "all_locations": "San Francisco, CA, USA", "long_description": "Torus lets engineering firms and project owners build infrastructure 10x faster to reindustrialize America and the West. \r\n\r\nWe're working with multiple Fortune 500 companies to build critical infrastructure including data centers and critical energy installations. ", "one_liner": "Legora for physical engineering firms", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1783552199, "tags": [ "Construction", "Energy", "Enterprise Software", "AI", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/torus", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/torus.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/torus-intelligence/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/79a2f7b5a083998db3fcc9309c0435a2ccb05016.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 554410, "full_name": "Marcus Lima", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Torus. We build agentic engineering tools for capital project engineering firms.\n\nPreviously founder of Heimdal, direct air carbon capture technology and infrastructure.\n\nOxford and Cambridge grad.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marcus-lima-144974101/", "x_url": "https://twitter.com/MarcusLimaGN", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/48308bbcb3e74764b7772075c1ed7357f112d2d7.jpg" }, { "user_id": 1208048, "full_name": "Rahul Thayil", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Torus (YC S26). \n\nPrev. Founder of Orion - AI threat intelligence and response automation.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rahul-thayil/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d691d142de70dcee7c6c00f5b37675b9753999e4.jpg" } ], "jobs": [ { "id": 105565, "title": "AI Engineer (interested in physical infrastructure)", "url": "https://www.ycombinator.com/companies/torus/jobs/jIERZ3O-ai-engineer-interested-in-physical-infrastructure", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.25% - 0.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Rust", "TypeScript", "Torch/PyTorch", "Machine Learning", "CAD Design", "LLMs", "RAG", "AI Agents" ] }, { "id": 105567, "title": "Electrical Engineer ", "url": "https://www.ycombinator.com/companies/torus/jobs/kNWpYEu-electrical-engineer", "location": "San Francisco, CA, US / Houston, TX, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$100K - $200K", "equity_range": "0.25% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105568, "title": "Physical Infrastructure Engineer (any discipline)", "url": "https://www.ycombinator.com/companies/torus/jobs/7TMYD7B-physical-infrastructure-engineer-any-discipline", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Chemical engineering", "salary_range": "$100K - $200K", "equity_range": "0.25% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "CAD Design", "AI Agents" ] }, { "id": 105570, "title": "Member of Nontechnical Staff (GTM)", "url": "https://www.ycombinator.com/companies/torus/jobs/kBIlCwY-member-of-nontechnical-staff-gtm", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "0.05% - 0.10%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Marketing design" ] } ], "news": [], "launches": [ { "id": 114335, "title": "Torus: Legora for the engineers who build power plants, refineries, and data centers", "tagline": "better engineering design for industrial infrastructure", "body": "**TL;DR** Torus is Legora for physical engineering firms\n\nWe make engineering design better. Our customers are using Torus to generate complete engineering packages and artifacts including complex engineering diagrams across disciplines. This dramatically cuts engineering cost, and timelines. \n\n![uploaded image](/media/?type=post&id=114335&key=user_uploads/554410/77f6d39c-d4dd-40d5-9c3d-af74b6daa8d9)\n\nInfrastructure projects spend months or years just on engineering. Every week of schedule compression on billion dollar infrastructure projects is worth millions. \n\nWe’re working with major EPCs and infrastructure owners across the US, helping them cut months long engineering timelines down to days. AI is fundamentally transforming how physical engineering is done, and Torus is delivering this to customers. We’re doing to physical enmgineering what Cursor did to software engineering. \n\n![uploaded image](/media/?type=post&id=114335&key=user_uploads/554410/0118fdd5-ef91-4497-9f28-858e4a6c0b77)\n\nMarcus Lima, CEO. Founded Heimdal (YC S21), raised $12M+ including Sam Altman and Marc Benioff, and built the world's largest carbon capture plant of its kind, working directly with EPCs for years. He lived the pain of slow and expensive engineering.\n\nRahul Thayil, CTO. Founded Orion, raised $4M+, and spent 10+ years building real-time anomaly detection over messy physical data.\n\nBest friends for 13 years, lived together for 5. One of us built the infrastructure; the other built the intelligence over its data. Torus is both, fused.\n\n**Our ask**\n\n* **We're hiring founding engineers (SF, in person).** We're based in SF and work in person, and we forward-deploy to our customers in Kansas City, Tulsa, Houston, and wherever the projects are. We’re hiring every type of engineer, software, mechanical, electrical, process. If you’re an engineer interested in building massive infrastructure we want to work with you.\n* **Intros to infra owners / engineering firms** the companies that build out infrastructure (midstream, power, utilities, data center developers, industrial operators, O&G). Anyone scaling capacity who feels the engineering crunch.", "url": "https://www.ycombinator.com/launches/Tk7-torus-legora-for-the-engineers-who-build-power-plants-refineries-and-data-centers", "votes": 6, "created_at": "2026-09-09T20:00:00.280Z" } ] }, { "id": 32131, "name": "Shielded", "slug": "shielded", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/eec883dcf84a87963c1d7874cef470c16c9dad19.png", "website": "https://www.shieldedglobal.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Shielded connects companies’ internal and external data to map market shifts, tariffs, and disruptions directly to suppliers, products, and margins. We turn those impacts into real-time decisions that grow and protect the business. ", "one_liner": "We help Fortune 500 companies hedge their supply chain risk", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1784606823, "tags": [ "Fintech", "Supply Chain", "Agriculture", "Energy", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/shielded", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/shielded.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/shieldedglobal", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/eec883dcf84a87963c1d7874cef470c16c9dad19.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": [], "jobs": [], "news": [], "launches": [ { "id": 109233, "title": "Shielded: The company brain for supply chain risk", "tagline": "Shielded helps manufacturers understand and act on supply chain risk in real time.", "body": "Shielded helps manufacturers understand and act on supply chain risk in real time.\n\nAs the world has become more volatile, businesses need a tool to monitor events and rapidly take action. Founder James Simon saw this problem first hand in commodities trading, in fact his whole job was to take advantage of other firms reacting too slowly as the world changed. \n\nThat’s what inspired him to build Shielded, as an intelligence layer that integrates quickly, deeply understands your specific business, and turns volatility into clear, proactive decisions.\n\nShielded supports critical part and supplier management for leading defense companies, ingredient price audits for multinational CPG firms, and tariff impact analysis for global manufacturers.\n\nWith API, MCP, BOM, and spreadsheet integrations, every customer deployment to date has taken less than 72 hours.\n\nInstead of simply receiving an alert when something happens, Shielded gives procurement, finance, and supply chain teams company-specific guidance on the impacts of external events, market shifts, and regulation changes, and recommends the right operational or hedging responses.\n\nShielded is your supply chain’s command center that never sleeps.\n\n", "url": "https://www.ycombinator.com/launches/SPp-shielded-the-company-brain-for-supply-chain-risk", "votes": 5, "created_at": "2026-08-06T18:00:00.390Z" } ] }, { "id": 32157, "name": "Maingen", "slug": "maingen", "former_names": [ "Maingen AI", "Maingen", "Maingen AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2eb59fa1eb6f59fafb938607c641276931a20aef.png", "website": "https://www.maingen.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Maingen builds simulations for industrial operations ($5 trillion slice of the US economy) so frontier labs can train models that actually run power plants, factories, and datacenters.", "one_liner": "Simulating Agents Running Industrial Companies", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1784688239, "tags": [ "B2B", "Energy", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/maingen", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/maingen.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/maingen", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2eb59fa1eb6f59fafb938607c641276931a20aef.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 1925382, "full_name": "Phillip Yan", "title": "Founder/CEO", "founder_bio": "CEO at Maingen (S26). Prev. 0x, power trading, Scale AI, Coinbase (YC S12). \nShipped exchange infra powering $150M+ TPV", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pyan/", "x_url": "https://x.com/PhillipYan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ecf7bdd1531c6e539582b01d63661a59e9e880c5.jpg" }, { "user_id": 2362549, "full_name": "David Yang", "title": "Founder/CTO", "founder_bio": "CTO of Maingen (S26). Prev. Idler (S25), Scale AI, Reticular (F24), and Amazon.\nCited by Anthropic for ICLR2025 mech-interp paper.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/david-yang-ai/", "x_url": "https://x.com/djyang1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a0c350ff34675efa324bcf4a043c0999f005df3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109472, "title": "Maingen: Simulations of real industrial operations, so agents can run the physical world", "tagline": "Long horizon RL environments for the $5 trillion industrial economy", "body": "Hello everyone!\n\nPhillip and David here, founders of Maingen (YC S26).\n\n**TLDR: AI is moving to the industrial world. Maingen builds RL environments for industrials (a $5 trillion slice of the US economy) so frontier labs can train models that actually run factories.**\n\n**Problem**:\n\nWe believe the next capabilities frontier is the physical world: operating factories, power plants, and industrial infrastructure. But that data doesn't exist on the internet, but rather as tacit knowledge inside enterprises, on operations desks, and in CMMS systems and vendor portals.\n\n**What we do:**\n\n\n\nWe embed with operators in these industries and translate their decision making process into RL environments labs can train.\n\n**Our first public benchmark evaluates whether agents can run a solar portfolio [solarbench.maingen.ai](http://solarbench.maingen.ai).** We’re continuing in other areas like factories, and we’re already working with frontier labs.\n\n**Who we are**\n\nThe founders Phillip Yan and David Yang have previously built RL environments, worked in the energy industry, shipped software powering 150 million+ TPV, and have been cited by Anthropic.\n\n**Get Involved**\n\nMaingen is looking for researchers and industrial operators to help shape its next environments. We’d love to hear from you if you:\n\n1. Work on research on long-horizon **agents, RL environments, or physical-world capabilities**.\n2. Run operations at an industrial site or can introduce the team to someone who does\n\nReach out at [founders@maingen.ai](mailto:founders@maingen.ai)! We're always down for a coffee!\n\nThanks,\n\nPhillip and David", "url": "https://www.ycombinator.com/launches/STg-maingen-simulations-of-real-industrial-operations-so-agents-can-run-the-physical-world", "votes": 5, "created_at": "2026-08-07T16:00:00.073Z" } ] }, { "id": 32981, "name": "Marengo", "slug": "marengo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/60eafb41e958f2dbb87a17e5996bba09e7731f2f.png", "website": "https://marengox.com", "all_locations": "San Francisco, CA, USA", "long_description": "Marengo is the AI-native engineering firm automating engineering design, starting with data centers. We’ve generated $70K in revenue in our first month, with $4M in contracts to deliver.\r\n\r\nMarengo is backed by YC, Exor, Future Planet Capital, undisclosed $2B AUM family office, and other top-tier investors.\r\n\r\nOur team includes the former President & CEO of Saipem America ($3B+ P&L), former President of Exyte's Advanced Technology Facilities GBU ($6B+ P&L) and more.", "one_liner": "AI-Native Engineering Firm designing Data Centers ", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1786181708, "tags": [ "Construction", "Design", "Energy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/marengo", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/marengo.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/marengox", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/60eafb41e958f2dbb87a17e5996bba09e7731f2f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 3204597, "full_name": "Emil Ares", "title": "Founder/CEO", "founder_bio": "Founded my first company at 16, making six figures. 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Ex-TU Delft.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gad-marconi", "x_url": "https://x.com/gadmarconi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/70c93b94836254602a740fc2c01e50a852e1acbc.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110380, "title": "Marengo: Accelerated Data Center Design", "tagline": "Marengo designs data centers at double the speed and half the cost with AI.", "body": "Hey everyone 👋! We're [Emil Ares](https://www.linkedin.com/in/emil-ares/) and [Gad Marconi](https://www.linkedin.com/in/gad-marconi/), co-founders of [Marengo](https://www.linkedin.com/company/marengox).\n\n**TL;DR** $6.7T is going towards data center capex up to 2030. It still takes 10-12 months to design data centers. Marengo is _the engineering firm for accelerated data center development._ Site Due Diligence through FEED and permitting design in half the traditional time and half the cost. We’ve developed internal AI design tools that our professional engineers use to accelerate their engineering design work. Customers receive validated outputs they can trust. Already working with some of the largest developers in the world.\n\n---\n\n**Our Launch Video: [https://youtu.be/57EbJ0Buz-U](https://youtu.be/57EbJ0Buz-U)**\n\n**Ask:** Are you a data center developer? Give us a site. Let Marengo show you what accelerated engineering looks like on one of your projects. Click [here](https://marengox.com/).\n\n**The problem\\[s\\]:**\n\nHuge **expenditure on design**: $6.7T of data center capex by 2030 - engineering design fees are a massive 12% of construction cost, meaning $800B in design spend alone.\n\nHuge **time waste**: engineering design takes 12-36 months (feasibility, due diligence, FEED/permitting design, detailed design); it’s done manually, meaning a design firm can only handle 3-4 different concepts per site, leading to suboptimal designs, worse decisions and higher risk.\n\n**The Solution:**\n\nAI alone doesn’t have the engineering, know-how or trust to be effective here. A step change is needed. Marengo is needed.\n\nTo customers, we’re **_the engineering firm for accelerated data center development_.** Internally, we have developed AI-native tooling designed for in-house use by professionals. These tools are:\n\n* **Physics-informed** - grounded in reality\n* **Deterministic** - the same specs will produce the same designs)\n* **Validated** - validated by our professional in-house engineers\n* **Data-driven** - we parallelise concept design generation, producing a virtually unlimited number of variations; we then run simulations to determine the best fit\n* **AI-native** - AI agents act as junior engineers accelerating manual processes so our professional engineers can focus on validation\n\n**How it works:**\n\nA customer gives us their plot of land; we leverage their heritage and requirements to deliver validated designs in **half the time** and **half the cost.**\n\n**Who We Are:**\n\n**Emil Ares** - Founded first company at 16, making six figures. Ex-Cambridge Physicist working on world's most powerful magnets (56MW) at the 1.4GW MagLab facility. Ex-UK Space Agency. Published researcher on AI for complex systems engineering design.\n\n**Gad Marconi** - Built and deployed on-site data center infrastructure at the 25MW Swiss Flumenthal hydroelectric plant. Ex-AI software engineer at Nuclear and Energy EPC. Ex-TU Delft.\n\n**Ask:**\n\nIf any of these describe you or your organization, we'd love to talk:\n\n* A neocloud, hyperscaler, developer or similar\n* A professional engineer working in data centers - architects, civil, mechanical, electrical; we’re hiring!\n\n---\n\nVisit to learn more! Contact us at [contact@marengox.com](mailto:contact@marengox.com) ", "url": "https://www.ycombinator.com/launches/SiK-marengo-accelerated-data-center-design", "votes": 41, "created_at": "2026-08-12T21:30:00.399Z" } ] }, { "id": 33312, "name": "Ethos Space Resources", "slug": "ethos-space-resources", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/26c677c7621160c55e8011d6851971173fe4f8e9.png", "website": "https://ethos-space.com", "all_locations": "Los Angeles, CA, USA", "long_description": "Ethos makes silicon on the Moon to power terawatt scale data centers. The Moon's surface is 21% silicon. We melt and electrolyze the lunar surface to make raw materials for solar panels. 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Founder of Planetary Sunshade Institute. Kardashev scaling since 2015.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/centers/", "x_url": "https://x.com/rosscenters", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a7da888d8bb4879eb5ed964886a037aa38c0859a.jpg" }, { "user_id": 3684585, "full_name": "Brogan BamBrogan", "title": "Founder/CTO", "founder_bio": "Employee #23 at SpaceX. Designed and built the 2nd stage engine for Falcon 1 as well as many elements of the Dragon spacecraft, including the primary heat shield, Draco thrusters, and more. Later co-founder & CTO at Hyperloop One and co-founder & CEO at Arrivo. Earlier engineering roles at Northrop Grumman and Chrysler Motors.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brogan-bambrogan/", "x_url": "https://x.com/BamBrogan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/589e273af2b0a3ff1590082a9389e7e3a73ecb05.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 112089, "title": "Ethos Space Resources", "tagline": "Silicon on the Moon for Terawatts in Space", "body": "**TL;DR**\n\n**Team**\n\nBrogan was employee #23 at SpaceX. He built the first Falcon and Dragon. Previously, he founded Hyperloop and Arrivo.\n\nRoss is a lunar geologist from the Colorado School of Mines. He previously founded the Planetary Sunshade Institute.\n\n**Problem**\n\nThere is infinite power in space. But rockets can’t carry enough solar panels. Rockets are the constraint.\n\n\n\n**Solution**\n\nPower in space must be made in space. Self replicating power and mass relieves the rocket constraint.\n\nThe Moon is made of Silicon (and other useful atoms). Silicon makes solar panels (and compute). Solar panels make energy, to refine more silicon and power more compute.\n\n\n\n**Traction**\n\n* Completed NASA contract\n* $1B LOIs from multiple customers\n* Going to the Moon in 2028\n\n**Why now**\n\nCapital needs from Earth will diminish as self-replicating power and mass grows on the Moon. Moving up the Kardashev scale will be a matter of wattage and tonnage, not dollars. If you’re not early to self-replication, you’re too late.", "url": "https://www.ycombinator.com/launches/T9t-ethos-space-resources", "votes": 17, "created_at": "2026-08-25T15:00:00.072Z" } ] }, { "id": 33408, "name": "Salem Robotics Inc", "slug": "salem-robotics-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fbf386dc8fa91340ed1cce1b80613f66e88ee12d.png", "website": "https://salemroboticsinc.com", "all_locations": "San Francisco, CA, USA", "long_description": "Our software turns any robot we deploy into an everyday independent worker at your facility. They are able to walk sites, handle instruments, overcome obstacles, collect measurements, and generate auditable compliance records, replacing hours of mandatory manual surveys and inspections. Built by Los Alamos robotics veterans and deterministic-manipulation researchers, we started in nuclear and are already expanding to other hazardous industries.", "one_liner": "Deploying robots to replace workers in hazardous spaces", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1783052221, "tags": [ "Hard Tech", "Robotics", "Energy", "Defense", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/salem-robotics-inc", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/salem-robotics-inc.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/salem-robotics/", "x_url": "https://x.com/salemroboticshq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fbf386dc8fa91340ed1cce1b80613f66e88ee12d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4593ea24a36e629876ca1a48e9e7db1a683530c2.png" ], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 3403013, "full_name": "Caleb Horan", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO at Salem Robotics. Previously a published robotics PhD student at UT Austin, developing task planning for autonomous systems. NRC Fellow. Deployed multi-robot teams at Los Alamos National Laboratory's Plutonium Division. MS in Robotics from UT Austin.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/caleb-horan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e7cff240bcb1484bcdff91bb1419d9c25f3162cf.jpg" }, { "user_id": 3208433, "full_name": "Janak (Crasun) Panthi", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at Salem Robotics Inc. PhD in Robotics from UT Austin (Dec. 2026). 6 yrs industry experience leading product development and deploying quadruped robots in nuclear facilities. US Army.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/janak-panthi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/19b6a7b10bbd6739abbb938281eb9c068eebf9c0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108976, "title": "Salem Robotics - Autonomous robots for hazardous spaces", "tagline": "We deploy robots to perform autonomous inspections and surveys in hazardous spaces, like nuclear. ", "body": "We're [Caleb](https://www.linkedin.com/in/caleb-horan) and [Janak](https://www.linkedin.com/in/janak-panthi), PhD roboticists from UT Austin. We've spent a combined 15 years in nuclear, 10 of which deploying autonomous robots at Los Alamos National Lab, and we're building Salem Robotics.\\\n**TLDR:** Our software turns robots into independent survey and inspection workers at your facility.\n\n[Launch Video](https://youtu.be/7xObOE6knZM)\n\n## **Life and death pain worth $Millions/year**\n\nAt every nuclear facility, highly trained radiation-protection teams spend hours each day walking the site, filling out hand-drawn maps, and searching for something life-threatening: radiation. IN THE BEST CASE they find nothing, and still have to return to their posts to transcribe the data into a computer before doing the actual high-value work they were assigned. These surveys are time-consuming, dangerous, expensive, and prone to data inconsistencies that carry direct regulatory consequences.\n\nThe same pain exists well beyond nuclear. Whether it's gas-leak inspection or ammonia surveys, similar workflows run across oil, gas, chemical, biological, space, and other hazardous facilities.\n\n## **What we do**\n\nAn operator defines the work from a simple dashboard; the robot then navigates the site, handles instruments, opens doors, turns valves, collects measurements, and generates structured, auditable, compliance-ready reports. We're hardware-agnostic, so plants run our software on robots they already own, many of which sit in a closet today as \"$200k paperweights, \" or we can provide the right robot for the job. Our stack is designed for safety-critical infrastructure and comes with theoretical safety guarantees, exactly what regulators and plant leadership require. Our core manipulation framework was not possible before and is based on **breakthrough founder research** published and presented at the most prestigious IEEE journals and conferences in the world. \n\nWe're already in active contract-scoping conversations across the nuclear industry and oil & gas.\n\n**Our asks**\n\n* Intros to operations or innovation leaders in nuclear or similar hazardous sites (oil, gas, chem, bio, space).\n* Advice from founders who've sold into safety-critical industrial environments.\n* Sites where routine surveys are frequent, hard to staff, or particularly painful? We'd love to hear about them.\n\nComments, Emails, and DMs welcome. \\\n[Engage@salemroboticsinc.com](mailto:Engage@salemroboticsinc.com)", "url": "https://www.ycombinator.com/launches/SLg-salem-robotics-autonomous-robots-for-hazardous-spaces", "votes": 29, "created_at": "2026-08-04T19:00:03.963Z" } ] }, { "id": 33607, "name": "Atomarine", "slug": "atomarine", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6485491a38d727a14e926be75b62003c9f8fccff.png", "website": "https://atomarine.co", "all_locations": "San Francisco, CA, USA", "long_description": "We are building nuclear power delivery ships to power our floating compute barges at sea. Our systems are fully standalone, have better cooling, and avoid all the resource competition that leads to local community opposition. Our centralized manufacturing allows us to deploy anywhere on Earth, four times faster than on land.", "one_liner": "Floating nuclear powered data centers at sea.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1784997775, "tags": [ "Hard Tech", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/atomarine", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/atomarine.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/atomarine", "x_url": "https://x.com/Atomarine_co", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6485491a38d727a14e926be75b62003c9f8fccff.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 697566, "full_name": "Dimitris Koutentakis", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Atomarine. 4x MIT graduate. Previously Portfolio Management Associate at Arrowstreet Capital ($200B AUM), leading quantitative research on trade execution for $2B daily trades and broker selection across $180B annually. At Amazon, designed MILP optimization for electric fleet charging, quantifying $193M CapEx avoidance. MIT undergraduate, MEng in EECS, MS in Mech Eng, MBA from Sloan.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dkoutentakis/", "x_url": "https://x.com/_dkout", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ce898826845045bb5604021ca44fae86ccf728df.jpg" }, { "user_id": 3640819, "full_name": "Emile Germonpre", "title": "Founder/CTO", "founder_bio": "Co-founder at Atomarine (YC S26) || PhD in Nuclear Engineering + MSc in Chemical Engineering || Fulbright Scholar + Valedictorian of Ghent University's Engineering School", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emile-germonpr%C3%A9-766045245/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e8bf85b0bc0d2e7dce9804086a8546a8d7738964.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 107426, "title": "Atomarine: Floating Nuclear Data Centers", "tagline": "Floating Nuclear Powered Data Centers At Sea", "body": "\\*\\*We're building floating data centers on barges powered by nuclear ships at sea.\\*\\*\n\n\n\n![uploaded image](/media/?type=post&id=107426&key=user_uploads/697566/5530961e-115c-4010-b749-b4de1a939afa)\n\n\n\\\n**TL;DR:** We move data center campuses offshore, away from communities, onto standardized barges we build on a single manufacturing line. That gets us near-free cooling, no interconnection queue, no local opposition, and 2x faster deployment. First gas-powered pilot ready by 2028.\n\nWhy now: AI has created unprecedented demand for compute and power that cannot be satisfied onshore.\n\n* Grid interconnection timelines are **approaching a decade**.\n* Data centers drive up the local cost of electricity, rent and land, and make water scarce. Community opposition rising from those reasons has **killed more than half of planned projects** since 2025.\n\nWhat we're building: standardized, plug-and-play data center barges, built on one manufacturing line and towed to site. Moving offshore gives us:\n\n* **No interconnection queue and no community impact** because our system operates standalone.\n* More **scalable architecture** that offers **faster deployment** and tighter-controlled deliverability due to centralized construction and repeated site licensing\n* **Lower energy cost** due to **less capacity overbuild** than onshore behind-the-meter and **cheaper financing** for repeatable manufacturing compared to on-site construction (financing = \\~2/3 of the lifetime cost of a nuclear project)\n* Virtually **free cooling** from seawater.\n\nTraction: We already have early partnerships in place across the two hardest parts of this build:\n\n* **Offshore design & construction:** working with established offshore barge designer/builders.\n* **Nuclear power:** partnerships with multiple SMR vendors.\n\nWhy us: We're a two-founder team out of MIT with the exact mix this needs.\n\n* [@Emile Germonpre](https://bookface.ycombinator.com/user/3640819) has a PhD in nuclear engineering.\n* [@Dimitris Koutentakis](https://bookface.ycombinator.com/user/697566) has a BS/MEng in EECS, an MS in Mechanical Engineering, and an MBA, all from MIT, with deep connections to the Greek shipping industry.\n\n**Our ask:** We're looking for intros to decision-makers in compute infrastructure or data center development we can sell to, VPs of Data Center Construction, Directors of Infrastructure, and hyperscaler / neocloud teams. If that's you or someone you know, reach out at [dimitris@atomarine.co](mailto:dimitris@atomarine.co) & [emile@atomarine.co](mailto:emile@atomarine.co).\n\n![uploaded image](/media/?type=post&id=107426&key=user_uploads/697566/f5ce89e6-1e1b-485f-8b35-0e8c5298287e)\n\n", "url": "https://www.ycombinator.com/launches/Rwg-atomarine-floating-nuclear-data-centers", "votes": 24, "created_at": "2026-07-26T20:34:19.952Z" } ] }, { "id": 33805, "name": "Edviro", "slug": "edviro", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c179a28044a3d4a8c3ceaf2a5b8cecbf90f66aa7.png", "website": "https://edviroenergy.com", "all_locations": "San Francisco, CA, USA", "long_description": "Edviro builds AI that operates energy infrastructure. We connect to meters, HVAC systems, batteries, solar, and other energy equipment and continuously handle the work required to keep them efficient: detecting and diagnosing problems to forecasting demand, simulating fixes, creating work orders, coordinating maintenance, and controlling equipment where authorized. Our energy world models learn how each site behaves, choose the highest-value actions, and verify the results against real operational, meter, and billing data.", "one_liner": "AI That Operates Energy Infrastructure", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1782807553, "tags": [ "Deep Learning", "B2B", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/edviro", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/edviro.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/edviro", "x_url": "https://x.com/Edviro_energy", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c179a28044a3d4a8c3ceaf2a5b8cecbf90f66aa7.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": 3164154, "full_name": "Hursh Shah", "title": "Founder/CEO", "founder_bio": "19, Founder & CEO at Edviro. Prev. NeurIPS 2024, ChatGPT Lab. Patent pending medtech research. Prev. founded Skyglass, smart glasses startup that got accepted to PearX. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hursh-shah/", "x_url": "https://x.com/hursheybar2", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9756e91b633ed2b9de6793c88f0e1daa8ff1d704.jpg" }, { "user_id": 1865110, "full_name": "Tanuj Siripurapu", "title": "Founder", "founder_bio": "19, Founder & CTO @ Edviro (YC S26). Prev. at RTX. Scaled a digital presence agency to 20k revenue in high school. Programming since age 9", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tanuj-siripurapu-747b58217/", "x_url": "https://x.com/kstanuj", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/96aabcf62bd08eff9921363a085eb3a930988175.jpg" } ], "jobs": [ { "id": 113407, "title": "Member of Technical Staff", "url": "https://www.ycombinator.com/companies/edviro/jobs/PlLCBWC-member-of-technical-staff", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$160K - $260K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113409, "title": "Founding GTM", "url": "https://www.ycombinator.com/companies/edviro/jobs/xuWBSdL-founding-gtm", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$140K - $170K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 112256, "title": "Edviro - AI that operates energy infrastructure", "tagline": "AI to operate energy infrastructure", "body": "# **Edviro: AI that operates energy infrastructure**\n\nHi all,\n\nWe’re Hursh and Tanuj, founders of Edviro.\n\n**TL;DR:** Edviro connects to a facility’s BMS, utility, sensor, equipment, and maintenance systems to build a world model of how the facility behaves. We use that model to detect problems, simulate interventions before anything is changed, and coordinate the best next action. We’re live in **34 facilities**, have identified more than **$400K in avoidable energy costs**, and are now opening our first partnerships with data center operators.\\\n\\\n\n\n## **The problem**\n\nData centers are expected to drive roughly half of U.S. electricity-demand growth through 2030.\n\nThis is usually framed as a problem of producing more electricity. That is only part of it.\n\nPower must be delivered to the right sites, on the timelines data centers are being built, with the reliability their workloads require. Once a facility has that power, its operators still need to extract as much useful compute as possible from every available megawatt without compromising uptime.\n\nInside a data center, power, cooling, controls, equipment, workloads, and maintenance are tightly coupled. A workload shift changes the thermal profile. A cooling-control change affects both energy use and equipment margins. A maintenance decision can alter redundancy and available capacity.\n\nYet the data and workflows used to manage these systems remain fragmented across BMS, DCIM, EPMS, meters, sensors, maintenance software, vendor portals, and spreadsheets.\n\nMost existing systems can display telemetry or raise an alarm. They cannot reliably model how the entire facility will respond before an operator changes a setpoint, shifts a workload, services equipment, or adds capacity.\n\nOperators are left making high-stakes decisions with incomplete system-level context.\n\n## **What Edviro does**\n\nEdviro turns a facility’s operational data into a continuously updated world model.\n\nBy “world model,” we mean a model that estimates the current state of the physical system, learns how its components interact, and predicts how it will respond to a proposed action. \n\nEdviro:\n\n* Integrates data from building controls, utilities, sensors, equipment, and maintenance systems\n* Detects anomalies, energy waste, equipment degradation, and capacity constraints\n* Simulates operational and maintenance interventions before they are deployed\n* Recommends the best action while accounting for cost, reliability, and physical constraints\n* Uses agents to coordinate approvals, work orders, investigations, and follow-through\n* Verifies whether the expected operational and energy impact actually occurred\n\nFor a data center, this could mean determining whether existing power and cooling infrastructure can support additional IT load, testing a control-sequence change before deploying it, identifying which equipment issue is constraining capacity, or prioritizing maintenance based on the capacity and reliability it would recover.\n\nWe initially keep operators in control of every consequential action. As the models are validated and earn trust, more of the operating loop can be automated.\n\n## **Why we started with schools**\n\nEdviro began when I was 17 and working with my high school’s facilities team. I was given a year of district utility bills to analyze, built software to parse them, and discovered roughly **$360,000 in gas overbilling**.\n\nWe found that this was not an isolated problem. Schools operate large portfolios of aging, mixed-vendor infrastructure with fragmented controls, incomplete data, lean facilities teams, and very little room for wasted budget.\n\nThey forced us to build for the messy reality of physical infrastructure rather than clean laboratory data.\n\nToday, Edviro is live in **34 facilities** and has identified more than **$400,000 in avoidable energy costs** for building operators.\n\nA school is obviously not a data center. Data centers have denser instrumentation, much tighter uptime requirements, and more complex coupling between power, cooling, and compute. \n\nWhat transfers is the underlying architecture: connecting heterogeneous operational systems, estimating the state of a physical facility, simulating interventions, coordinating action across teams, and verifying the result. We are now building the data-center-specific models, integrations, and safety constraints directly with operators. Our first relevant research benchmark can be found here: \n\n## **Where we’re going**\n\nThe current generation of facilities software tells operators what has already happened.\n\nWe want Edviro to understand what is happening now, predict what will happen next, and help execute the safest and highest-value response.\n\nAs electricity becomes one of the primary constraints on AI growth, building more infrastructure will not be enough. We also need to operate the infrastructure we already have far more intelligently.\n\nThe long-term goal is not another dashboard. It is infrastructure that can understand itself and increasingly operate itself.\n\n## **Asks**\n\n1. **We’re looking for data center operators to become early design partners.** We are especially interested in facilities dealing with power or cooling constraints, capacity-expansion planning, recurring manual investigations, fragmented controls, or reactive maintenance. We can begin read-only, with operators retaining approval over every action.\n2. **We’re hiring energy-modeling engineers** across thermal systems, power systems, controls, scientific machine learning, and physical simulation.\n\nIf you operate a data center—or know the team responsible for operating one—we’d love to talk.\n\n[**www.edviro.com**](http://www.edviro.com)", "url": "https://www.ycombinator.com/launches/TCa-edviro-ai-that-operates-energy-infrastructure", "votes": 5, "created_at": "2026-08-26T17:00:00.166Z" }, { "id": 104853, "title": "Edviro - Buildings are wasting money daily", "tagline": "Your building is wasting energy daily", "body": "**TL;DR:** Edviro helps facilities managers at large buildings save on their energy bills.\n\nFacilities managers are overwhelmed with dashboards, alarms, and analytics for hundreds of boilers, HVAC units, and heat pumps across their buildings. Edviro continuously monitors and optimizes buildings using energy world models to detect anomalies, simulate interventions, and suggest the best options to the facilities manager. In particular, in busy spaces like offices, we utilise Wi-Fi access points or our own occupancy sensors to reduce HVAC usage significantly. Our tools also allow institutions to maintain detailed service histories and equipment logs and to perform maintenance with AR. To date, we've saved clients six figures in multiple buildings. We’re also piloting with a construction company to conduct baselining and M&V for sites they work with.\n\n**The team:**\n\nWe’re young technical founders. I’ve published at NeurIPS ‘24, conducted patent pending VR Alzheimer’s work, and founded a previous Aviation smart glasses startup that was accepted into PearX. Tanuj has been coding since he was 9, scaled a previous digital agency to $20k in revenue and previously did dev work at RTX.\n\nThis all started when I was working with my own high school’s facilities team. I saw how much waste there was and how fragmented his energy data was despite loads of smart controls and BMS systems. Initially I built a dashboard for him, and the product quickly caught on to more schools in NorCal.\n\n**Our ask:**\n\nWe’re looking for intros to facilities teams at school districts, real estate or data centres.\n\nAlongside that, we’re looking to work with construction teams who need help baselining and doing M&V on their work post-project.\n\nIf you are connected to anyone in this space, would love to chat!\n\n![uploaded image](/media/?type=post&id=104853&key=user_uploads/3164154/9fe82a05-dd5a-4916-94f4-9cf0e8f54a05)\n\n", "url": "https://www.ycombinator.com/launches/RHB-edviro-buildings-are-wasting-money-daily", "votes": 5, "created_at": "2026-07-07T15:02:05.737Z" } ] }, { "id": 34904, "name": "Viraj Aero", "slug": "viraj-aero", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d151d30449f8a414c0594312df47a98193fd069b.png", "website": "https://www.viraj-aero.com/", "all_locations": "", "long_description": "Viraj Aero builds gas turbines that deliver both power and cooling water for data centers. It needs no grid connection and no water pipeline.\r\n\r\nBurning natural gas already produces water. Our patented system captures that water from the exhaust. Part of it cools the data center. The rest is turned into steam and injected back into the turbine. That gives up to 40% more power from the same fuel (cheaper compute) and cuts NOx emissions by up to 99%, which cuts permit approvals from years to weeks.\r\n\r\nWe're building a genset around our first-of-its-kind gas turbine. It fits in a 10-foot container and runs anywhere, even in the desert. That matters because two-thirds of new data centers are being built in water-stressed regions.\r\n\r\nWe first built this steam-injected turbine for aircraft, where carrying water tanks isn't an option and efficiency is critical. We're currently integrating our full-scale prototype into an aircraft. 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