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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. 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Built batteries, robots, and drones.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chung-hoang/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9b8cecebb8b12af7d8889a59ad52678d179bc15c.jpg" } ], "jobs": [ { "id": 60303, "title": "Social Media Marketing Intern", "url": "https://www.ycombinator.com/companies/posh/jobs/Nft43pe-social-media-marketing-intern", "location": "Hayward, CA, US", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$2K - $3K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 75267, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/posh/jobs/e2eaV95-chief-of-staff", "location": "Hayward, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$80K - $120K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 88931, "title": "Commercial and Industrial Sales Manager", "url": "https://www.ycombinator.com/companies/posh/jobs/O6hIbDB-commercial-and-industrial-sales-manager", "location": "Hayward, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $140K", "equity_range": "0.10% - 0.50%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 109818, "title": "VP of Data Center Development / Chief Development Officer", "url": "https://www.ycombinator.com/companies/posh/jobs/GPdEKa5-vp-of-data-center-development-chief-development-officer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "0.50% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Posh raises $3.8M seed round to automate EV battery recycling", "url": "https://www.prnewswire.com/news-releases/posh-raises-3-8m-seed-round-to-automate-ev-battery-recycling-301573426.html", "date": "Jun 23, 2022" } ], "launches": [] }, { "id": 26243, "name": "Phoenix Hydrogen", "slug": "phoenix-hydrogen", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8301691eddf532285fe9add6d7c08ae5d764a72e.png", "website": "https://phoenixhydrogen.com/", "all_locations": "San Francisco, CA, USA; Berkeley, CA, USA; Remote", "long_description": "Phoenix Hydrogen is building the first commodity marketplace for hydrogen. This year, $9.5B in federal grants will fund the first hydrogen grids, but this ecosystem has no marketplace. We’re uniquely able to build one because we’re already working with big utilities on a fulfillment platform: a 1000'-tall underground warehouse for hydrogen.", "one_liner": "First commodity marketplace for hydrogen.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1647534399, "tags": [ "Energy Storage", "Hydrogen Energy", "Marketplace", "Climate", "ClimateTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Inactive", "industries": [ "Industrials", "Energy" ], "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/phoenix-hydrogen", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/phoenix-hydrogen.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/72630957/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8301691eddf532285fe9add6d7c08ae5d764a72e.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": 17939, "full_name": "Shawn Drost", "title": "Founder", "founder_bio": "Shawn Drost is the co-founder and CEO at Phoenix Hydrogen. \nPreviously: Founder @ Hack Reactor\nOnce ran a marathon without training; big toe still clicks\nDad to two toddlers (!!)", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/shawndrost/", "x_url": "https://twitter.com/shawndrost", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1faa257f101a58c305bbb64e82d0f47489aed028.jpg" }, { "user_id": 903332, "full_name": "Terence Vomocil", "title": "Founder", "founder_bio": "Building green hydrogen midstream infrastructure supported by underground storage, a digital trading platform and creation of regional hydrogen hubs.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/terence-v-a5916151/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ade0de0bf8b16b47124119b3dcddccaebace3175.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "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": 29444, "name": "Vista Power", "slug": "vista-power", "former_names": [ "Vista Space" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/200c92ec7689cca5def8c23c08741030c6d28f97.png", "website": "https://vistapower.com", "all_locations": "San Francisco, CA, USA", "long_description": "Vista designs, finances, installs, and manages energy storage and solar at commercial, industrial, and multifamily properties for $0 upfront, helping businesses save up to 30% on their energy bills. The founding team previously worked at SpaceX, Rocket Lab, NASA and Firefly.", "one_liner": "Batteries and solar for $0 upfront to help businesses save money", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1706595297, "tags": [ "Energy Storage", "B2B", "Sustainability", "Manufacturing", "Renewable Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vista-power", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/vista-power.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/vista-power", "x_url": "https://twitter.com/vista_power", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/200c92ec7689cca5def8c23c08741030c6d28f97.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 293472, "full_name": "Maxim Kraft", "title": "Founder/CEO", "founder_bio": "I care deeply about space, sustainability, and using economics and engineering to build a future worth living in for all humankind. In 2023, I co-founded Vista Power (fka. Vista Space) to help businesses use clean energy to save money on energy bills for $0 upfront. Previously, I worked on profit improvement at Starlink, built supply chain analytics tooling at Rocket Lab, and ran a software startup called Tour (acquired), which I co-founded in high school.", "is_active": true, "linkedin_url": "https://linkedin.com/in/maximkraft", "x_url": "https://twitter.com/2001kraft", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd4c7e3020f5390eae55ee60de1b4dc3091258c6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 79713, "title": "Vista Space: Structural batteries for high performance spacecraft", "tagline": "Our batteries let spacecraft have 2x the energy capacity or save 15-30% in volume", "body": "### **TL;DR**\n\n**About Us** \\\n[Vista Space](https://govista.space/) builds Tesla-inspired structural batteries to increase satellites’ energy capacity without increasing their size. The founders worked at SpaceX, Rocket Lab, and NASA. \n\n**The Ask** \\\nIf you or anyone you know are building spacecraft or any other products that could benefit from structural batteries, we should talk! Please reach out or send referrals our way to [sales@govista.space](mailto:sales@govista.space) or our website at . \n\n—\n\nHey all, we’re [Vista Space](https://govista.space/), co-founded by [Maxim Kraft](https://linkedin.com/in/maximkraft), [Petar Matejic](https://linkedin.com/in/petar-matejic), and [Chaitanya Kore](https://www.linkedin.com/in/ckore/). Our mission is to power the next generation of space exploration. \n\n### **Problem**\n\nPower is a fundamental constraint for space mission design, as everything operating in space requires electricity. Today's spacecraft power systems are not capable enough to support both the current and next-generation mission concepts, leading satellite manufacturers to painful trade-offs: **limiting additional hardware** or **increasing system size** to get more power. \n\n![uploaded image](/media/?type=post&id=79713&key=user_uploads/293472/5a1ec437-b4ee-4544-b3ad-5082e2be92c3)\n\nWith reduced capabilities, companies lose their technological advantage. With increased size, manufacturing costs are higher, risk of schedule delays is greater, and go-to-market is slower due to fewer spacecraft launches. **These trade-offs are fundamental limitations** of spacecraft design and space economics. \n\nWhile space-rated solar panels are thin, efficient, and can be foldable, **batteries take up significant useful volume** (up to 30% in small spacecraft) **and are vastly less capable** than the latest terrestrial equivalents.  \n\n### **Solution**\n\nTraditional spacecraft walls are purely structural, serving little functional purpose after launch while occupying valuable space. \n\nOur **Voltaris 1** module replaces these walls, providing **structural support and energy storage simultaneously**. This allows satellite manufacturers to **double their energy capacity** without increasing size or **gain 15-30% more useful volume** at the same power budget. \n\n![uploaded image](/media/?type=post&id=79713&key=user_uploads/293472/a51852a8-0dfc-46a5-a2bf-049c29a42d7e)\n\n**Key Features:** \n\n* **Inspired by structural batteries in EVs** like the Tesla Model Y and Cybertruck \n* **Plug and play with any chassis size**, bolting onto the chassis in place of aluminum walls \n* **Compatible with third-party electrical & power system** (EPS) modules inside \n* CubeSat modules **include a solar cell**, and all form factors have the electrical components & thermal protection systems to **work out of the box** \n* **Additional radiation protection** for the contents inside the chassis \n* Launching **to space in February 2025** \n* Targeting **pricing to be middle of the market** for space batteries\n\n \n\n### **About Us**\n\nMaxim & Petar met at SpaceX, working on Starlink and Starship, respectively, and bonded over discussing opportunities for satellite design improvements. Maxim met Chaitanya at a conference for rising NewSpace leaders and stayed in touch since. \n\n![uploaded image](/media/?type=post&id=79713&key=user_uploads/89898/1b0414fe-b273-4da1-b4fb-2265113278ca)\n\nMaxim: Berkeley alum (Economics & Physics). Former SpaceX, Rocket Lab. Taught a course on space economy and entrepreneurship during undergrad. \n\nPetar: Former SpaceX, NASA, Firefly, The Boring Company. Co-founded UNLV's student satellite team. \n\nChaitanya: Founded Space Force Association Great Lakes chapter. Helped secure a multi-billion-dollar battery gigafactory in Illinois.  \n\n### **The Ask**\n\n* Please share this post with your network, even outside the space industry! \n* If we’re building something you need, please reach out or send referrals to [sales@govista.space](mailto:founders@govista.space) or our website .\n* Leave an upvote!\n\n \n\n**Early adopter benefits:** Anyone who places a Pre-order gets personalized technical review sessions and priority delivery of the first production units. \n\nThanks all! Let us know what you think. ", "url": "https://www.ycombinator.com/launches/Kjh-vista-space-structural-batteries-for-high-performance-spacecraft", "votes": 43, "created_at": "2024-03-26T17:00:54.840Z" } ] }, { "id": 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": 35224, "name": "Micora", "slug": "micora", "former_names": [ "Micora Energy" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7fc1316658ceceb944d2c372912cac6b6db9e5ec.png", "website": "https://micora.com", "all_locations": "San Francisco, CA, USA", "long_description": "Micora builds a solar-farm-in-a-box that can be shipped anywhere and built without specialized labor. We have designed a new type of solar farm micorgrid that is palletized, lightweight, and deployable. Our system autonomously builds 100kWp of capacity per day and is easily scalable to MWs of capacity which is a size currently only serviced by slow moving and at capacity EPCs. \r\n\r\nAs demand from data centers, advanced manufacturing, and electrification strains existing power infrastructure, the ability to deploy substantial generation quickly is becoming increasingly valuable and unavailable. We are the only company that services utility-scale power needs in weeks. ", "one_liner": "Microgrids in a box built anywhere in days", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1789148682, "tags": [ "Energy Storage", "Robotics", "Solar Power" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/micora", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/micora.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/micoraenergy/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7fc1316658ceceb944d2c372912cac6b6db9e5ec.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 3916660, "full_name": "Ashten Akemoto", "title": "Founder/CEO", "founder_bio": "Design, manufactured, and shipped heat pumps as CTO of Normal Robotics, published a few papers on multi-agent robotics and, worked on autonomous space robotics missions with NASA JPL / Astrobotic. 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Morgan’s Healthcare Investment Banking group and was a founding team member at Pear Suite, an AI-enabled platform and provider network for community health workers (CHWs).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/frederik-mareels", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4fdab93252435eafd388ed9da5f52fe7125f97ed.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 38094, "name": "Super Powers Mobility (SPM)", "slug": "super-powers-mobility-spm", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a5c35648a3ac00d7da1ce27b5b0a62372c6a5f2e.png", "website": "https://www.spm.fun", "all_locations": "Pittsburgh, PA, USA", "long_description": "We started off building 470V high voltage electric off-road vehicles but we realized our ultra power dense battery packs are useful for mobile and stationary energy storage and power export, for military and consumer use cases. We develop battery packs, power electronics, and traction powertrain systems for vehicles.", "one_liner": "Modular battery packs for mobility/vehicles", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1788100804, "tags": [ "Energy Storage", "Unmanned Vehicle", "Electronics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Defense" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/super-powers-mobility-spm", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/super-powers-mobility-spm.json", "year_founded": 2023, "city": "Pittsburgh", "country": "US", "linkedin_url": "https://www.linkedin.com/company/superpowersmobility", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a5c35648a3ac00d7da1ce27b5b0a62372c6a5f2e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Charlie Warren", "url": null }, "founders": [ { "user_id": 1979736, "full_name": "Jonathan Powers", "title": "Founder/CEO", "founder_bio": "Founder/CEO at Super Powers Mobility (YC F26). 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