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Graduated at 20 with 1 exit, excited by all things crypto!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/henryzhang03/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8cacbcaaaf2e54c4c8ecf9c465eb51f714a64c67.jpg" }, { "user_id": 1550170, "full_name": "Preston Ellis", "title": "Founder/CTO", "founder_bio": "Building consumer applications in crypto!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/preellis/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9008051d00c3cdb6f20467bede25a190f103a1cd.jpg" } ], "jobs": [ { "id": 73476, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/axiom/jobs/PYj0leR-founding-engineer", "location": "Austin, TX, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $500K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Node.js", "PostgreSQL", "Rust", "TypeScript", "Distributed Systems", "Blockchain", "Next.js" ] }, { "id": 104822, "title": "Rust Engineer", "url": "https://www.ycombinator.com/companies/axiom/jobs/NMcjyK7-rust-engineer", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$320K - $465K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 104823, "title": "Full Stack Engineer", "url": "https://www.ycombinator.com/companies/axiom/jobs/LhoB2Q3-full-stack-engineer", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$320K - $465K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 104824, "title": "Backend Engineer", "url": "https://www.ycombinator.com/companies/axiom/jobs/lm7xFvA-backend-engineer", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$320K - $465K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 104825, "title": "Frontend Engineer", "url": "https://www.ycombinator.com/companies/axiom/jobs/GNTewkz-frontend-engineer", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$320K - $465K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 104826, "title": "Systems Engineer", "url": "https://www.ycombinator.com/companies/axiom/jobs/fZ9O8AX-systems-engineer", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$320K - $465K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87688, "title": "Axiom - The Gateway to DeFi", "tagline": "Trade any asset on any chain, all under 1 account.", "body": "**TL;DR:** Axiom is building the first platform that lets anyone trade anything in DeFi.\n\n**The Problem:**\n\n* People in crypto focus too much on the tech rather than the user experience.\n* There are too many protocols and chains.\n* For every new chain and asset, you need to sign up and manage a different account/app.\n\n**The Solution:**\n\nAxiom is building the first app that lets you trade any asset on any chain, with all the technicalities abstracted away. No longer do you have to bridge, swap, manage all your assets through 5 different apps.\n\n\n\n**Our Ask**\n\nIf you know any crypto influencers, KOLs, high volume traders, please connect us! Can DM @Mist_Axiom on Telegram.\n\n**The Team**\n\n[Henry](https://www.linkedin.com/in/henryzhang03/) - Previously worked at TikTok building generative AI for ads. Graduated in 2 years while building 2 startups full-time with 1 exit.\n\n[Preston](https://www.linkedin.com/in/preellis/) - Previously interned at Doordash, studying EECS at UC Berkeley. Had 1 exit in undergrad.", "url": "https://www.ycombinator.com/launches/MoK-axiom-the-gateway-to-defi", "votes": 43, "created_at": "2025-02-14T01:49:59.488Z" } ] }, { "id": 30367, "name": "QFEX", "slug": "qfex", "former_names": [ "PSEx", "PFEx", "Entimox", "QFEX", "QFEx" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff2e678a3e0cc7ec945071e67d067023b3357bf4.png", "website": "https://qfex.com", "all_locations": "London, England, United Kingdom", "long_description": "QFEX is the 24/7 exchange for traditional financial markets.\r\n\r\nWe let you trade US equities, commodities and FX pairs with (or without) leverages of up to 100x. On QFEX, UX comes first: brokerless market access, seamless integration with traditional payment rails, and ultra-efficient Perpetual Futures offered over all asset classes. Trading has never been simpler, cheaper or fairer than with QFEX.\r\n\r\nFounded by Quants and Engineers from Citadel & Tower Research who saw an opportunity to make markets how they always should have been, QFEX will eventually replace the entire $100 billion exchange and clearing industry.", "one_liner": "24/7 Global Stock Exchange", "team_size": 14, "industry": "Fintech", "subindustry": "Fintech -> Banking and Exchange", "launched_at": 1747069734, "tags": [ "Fintech", "Marketplace", "Trading" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Fintech", "Banking and Exchange" ], "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/qfex", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/qfex.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/qfex", "x_url": "https://x.com/qfex", "fb_url": "https://www.facebook.com/tradeqfex/", "cb_url": "https://www.crunchbase.com/organization/qfex", "github_url": "https://github.com/QFEX-org", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff2e678a3e0cc7ec945071e67d067023b3357bf4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/57dfe4e062f27e2791073526579304626840f5cc.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b27f14c1d8b76dda0304895144a13b9f353e7663.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 2318196, "full_name": "Annanay Kapila", "title": "Founder/CEO", "founder_bio": "Annanay is Founder and CEO of QFEX. He met his co-founder Joshua at Cambridge, where he studied Maths and conducted Quantum Computing research. Since then, he has worked as a Quantitative Trader at Flow Traders and Tower Research Capital in London, and is now building QFEX as the exchange he always wish he had to trade on.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/annanay-kapila/", "x_url": "https://x.com/annanay", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/44f2f9bd0d9943aa2aa4fd4c3a4561735abce17b.jpg" }, { "user_id": 115491, "full_name": "Joshua Wharton", "title": "Founder/CTO", "founder_bio": "Founder & CTO at QFEX", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joshua-wharton/", "x_url": "https://x.com/joshuawharton", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0c4fe96a6de95fe4b5449b1193927210222778b7.jpg" } ], "jobs": [ { "id": 76806, "title": "Research Engineer", "url": "https://www.ycombinator.com/companies/qfex/jobs/S7XSybx-research-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $250K", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 88980, "title": "Backend Engineer", "url": "https://www.ycombinator.com/companies/qfex/jobs/2j9OMID-backend-engineer", "location": "London, England, GB / New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$100K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 90317, "title": "QFEX - The Global 24/7 Stock Exchange", "tagline": "Direct, 24/7, leveraged trading on US equities, commodities and FX.", "body": "Hello World! We’re [Annanay](https://www.linkedin.com/in/annanay-kapila/) and [Joshua](https://www.linkedin.com/in/joshua-wharton/), and we’re building [QFEX](http://www.qfex.com/): a global, 24/7 stock exchange.\n\n#### **What We’ve Built**\n\nTrillions of dollars change hands every day in the global financial markets, but the pace of innovation is excruciatingly slow. As of 2025, you still can’t:\n\n* Trade directly on an exchange **without a broker** (unless you’re as big as Jane Street).\n* **Trade 24/7**.\n* Get **>20x leverage** or avoid margin fees.\n* Trade leveraged US stocks without **worrying about options**.\n\nWe’re changing this.\n\nWe’ve built an exchange that provides all of the above, packaged into a sleek, **direct-to-market** interface with one-of-a-kind purely **volume-based fees**. Bye-bye Robinhood selling your orders for Citadel to front-run. Adios to the Interactive Brokers GUI. Hello to markets as they _should_ **be**.\n\nhttps://www.tella.tv/video/joshuas-video-1m32\n\nhttps://www.tella.tv/video/joshuas-video-32cb\n\n#### **Call To Action**\n\nQFEX is currently running in a closed beta with a white-glove service to match user enthusiasm. To get earlier access: \n\n* **Sign up** to our [waitlist](https://app.qfex.com/login) to get invited!\n* Follow us on socials to make sure you don’t miss out on any early access perks! [Reddit](https://www.reddit.com/user/TradeQFEX/) [Twitter](https://x.com/TradeQFEX) [Facebook](https://www.facebook.com/tradeqfex) [LinkedIn](https://www.linkedin.com/company/entimox/)\n* [API](https://docs.qfex.com/) traders - welcome to the first API-native exchange! Reach out [here](mailto:hello@pfex.com) to schedule onboarding.\n* Share this post with anyone interested in trading, exchanges or crypto! \n\n#### **The Team**\n\nWe met at Cambridge studying Maths in 2016, and the rest is history. Working as Quants and Engineers at Tower Research and Citadel before YC, we spent a year trying to figure out why crypto exchanges can solve all of the above, but traditional exchanges can’t. We still haven’t found a convincing answer.\n\n#### **PS - For the Crypto/ Finance Bros**\n\nTaking a leaf out of the crypto world, [QFEX](http://www.qfex.com/) is listing Perpetual Futures in traditional assets, making it the first exchange to do so. Futures haven’t changed since the first standardized contract was made in 1865 to help farmers hedge their corn harvests. Now S&P500 futures trade $500 billion daily, but it still expires in time for the harvest. Why?\n\n[QFEX](http://www.qfex.com/) will save institutional traders billions of dollars in rolling costs, operational headache, and deeper liquidity from an unfragmented market - just like perps did for crypto. \n\n![uploaded image](/media/?type=post&id=90317&key=user_uploads/2318196/a0937f2e-75a9-4aeb-89fb-4152ad0abac7)\n\n", "url": "https://www.ycombinator.com/launches/NUj-qfex-the-global-24-7-stock-exchange", "votes": 182, "created_at": "2025-05-12T20:42:26.458Z" } ] }, { "id": 30922, "name": "Selfin", "slug": "selfin", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c62fd75050245643921b794ea15f1786d2ee9033.png", "website": "https://selfin.app", "all_locations": "San Francisco, CA, USA", "long_description": "Bring us risk. We’ll find the market. Institutional liquidity for event-driven exposure across prediction markets.\r\n", "one_liner": "Institutional liquidity across prediction markets", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Consumer Finance", "launched_at": 1759770880, "tags": [ "Fintech", "Finance", "Investing", "Trading" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Fintech", "Consumer Finance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/selfin", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/selfin.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/selfinltd/", "x_url": "https://x.com/Selfin_app_", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/selfin-58f3", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c62fd75050245643921b794ea15f1786d2ee9033.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b6db09708d732386c0e6db60101a970af10ea16c.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1207076, "full_name": "Paula Gutierrez", "title": "Founder/CEO", "founder_bio": "-Aerospace @Imperial, MIT, UC Berkeley\n-Quant @Bank of America, NASA, Rolls Royce, Software engineer startups", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/paula-gutierrez-/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f74ab30ecdd25ba29f791a5ddc2cd8b14079639f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95468, "title": "Selfin: building the first AI Bank 🏦", "tagline": "All in one financial platform where you can connect all your financial products", "body": "Hey everyone! 👋\n\nWe are [Paula](https://www.linkedin.com/in/paula-gutierrez-/) and [Joel](https://www.linkedin.com/in/joel-tomas-pimentel/), co-founders of [Selfin](https://selfin.app).\n\n# **TL;DR**\n\nWe are **building the first AI Bank**. We are starting with an all in one financial platform where you can connect all your financial products: credit, investments, crypto, 401k, savings and get personalised recommendations powered by AI.\n\nhttps://youtu.be/yOUaWeDQfk8\n\n# **The problem ❌**\n\n**Banking is painful.**\n\nYour money is scattered across different apps that don’t talk to each other, leading to bad rates, high fees, and poor financial choices. If you actually want to manage your finances properly, you end up juggling budgeting tools, spreadsheets, and hours of research.\n\n# **The solution ✅**\n\nThat’s why we’re building Selfin. We want to create a banking experience with full context of your personal situation. Our mission is to create personalised financial products and ultimately build the first large AI-native neobank in the US.\n\nWe’re starting with an AI-powered assistant that acts for you, using financial agents to automate everything. And we will incorporate further banking products along the way.\n\n![uploaded image](/media/?type=post&id=95468&key=user_uploads/2892767/e3a9f229-6525-4570-8f67-ecd36ebdf3b8)\n\n# **The team** 🚀\n\nWe met each other while studying at Imperial in the UK, and after moving to the US to finish our master’s thesis at MIT & Stanford, we realised how lagging the US banking experience was compared to other places.\n\nWe couldn't stand the status quo, so we're fixing it.\n\nPaula - Aerospace Eng grad from Imperial & MIT, previously worked at NASA and BofA\n\nJoel - Aerospace Eng grad from Imperial & Stanford, previously worked at BCG\n\n# **Our Ask 💬**\n\n**Get early access and become one of our beta testers** at [www.selfin.app](http://www.selfin.app)\n\nWe are determined to build something people want, so if you want to help us shaping our product with your feedback, join the waitlist and/or contact us:\n\n[admin@selfin.app](mailto:admin@selfin.app)", "url": "https://www.ycombinator.com/launches/Opo-selfin-building-the-first-ai-bank", "votes": 757, "created_at": "2025-11-12T22:01:40.193Z" } ] }, { "id": 31168, "name": "Instinct", "slug": "instinct-xyz", "former_names": [ "Assonant" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/95bc87269a98980418f0859561c98e4d5a516586.png", "website": "https://instinct.xyz", "all_locations": "San Francisco, CA, USA", "long_description": "Capital allocation is becoming a more important part of individual economic life.\r\nFinance is moving toward a global, onchain, 24/7 future with thousands of markets trading at once.\r\n\r\nThe asset management industry is built around the scarcity of financial expertise and the cost of organizing people around capital. \r\n\r\nInstitutions cover global markets by employing analysts, researchers, and quants around the clock. \r\n\r\nAI turns this organizational capacity into software.\r\n\r\nInstinct is building the harness for this transition.\r\n\r\nInstinct is a proactive team of agents that searches thousands of markets, investigates opportunities, and operates 24/7. The individual becomes the portfolio manager, Instinct becomes the investment firm operating around them.\r\n\r\nAs institutional advantages become widely accessible, the edge concentrates in each trader’s worldview, judgment, and bets. \r\n\r\nThe first one-person investment firm managing $1 billion will emerge within two years.\r\n\r\nIt will run on Instinct.", "one_liner": "Trade with superhuman instinct", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1779953002, "tags": [ "Machine Learning", "Trading", "AI", "Cryptocurrency" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Fintech" ], "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/instinct-xyz", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/instinct-xyz.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/instinctxyz", "x_url": "https://x.com/instinct_xyz", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/95bc87269a98980418f0859561c98e4d5a516586.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": 3171357, "full_name": "Joon Won Song", "title": "Founder/CEO", "founder_bio": "Quantitative Developer @ Squarepoint Capital\nEECS @ Imperial College London", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mericsong", "x_url": "https://x.com/mericsong", "avatar_thumb_url": "/avatars/thumb/missing.png" }, { "user_id": 3198682, "full_name": "Eunju Moon", "title": "Founder/CTO", "founder_bio": "PhD dropout @ USC (Quantum Computing)\nTheoretical Physics @ Imperial", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eunju-moon-a65823202/", "x_url": "", "avatar_thumb_url": "/avatars/thumb/missing.png" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31367, "name": "Andustry", "slug": "andustry", "former_names": [ "Andustry", "Standard Gaussian" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9cad618041deb29b222958392d35d6e8a7e0d845.png", "website": "http://andustry.com/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1773916364, "tags": [ "Trading" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech" ], "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/andustry", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/andustry.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9cad618041deb29b222958392d35d6e8a7e0d845.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": 2027738, "full_name": "Het Dave", "title": "Founder/CEO", "founder_bio": "I love working at the intersection of {CS, math, finance}.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hetdave", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8a8b1d05d3d5d0d9f52e4509c33739a9c558da1c.jpg" }, { "user_id": 2239753, "full_name": "Johann Stürken", "title": "Founder", "founder_bio": "Johann comes from a family business importing goods for 2 generations. He's a mechanical engineer who has done research at Cambridge and won a prize at NASA designing an aircraft.\n\nHe worked at Airbus on autonomous flight and built the business team at a startup building electric aircraft. At McKinsey he worked with airlines and defense companies.\n\nJohann is a licensed pilot.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/johannstuerken", "x_url": "https://x.com/JStuerken", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/07d7b59b5f21f6954b28f941b13fdefdc911e11d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31420, "name": "Kimpton", "slug": "kimpton", "former_names": [ "Kimpton AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dc55a7e4190cac127494553294ea19379fdf8fc3.png", "website": "https://kimpton.ai", "all_locations": "New York City, NY, USA; Remote", "long_description": "In investment management, every decision gets graded. The market prints the answer on a date known in advance, and nobody gets to argue with it.\r\n\r\nKimpton is financial AI that answers to reality. Kimpton OS is the AI-native operating system for investment teams: it does the research and hands PMs structured trades. EarningsBench is a public benchmark where models forecast quarterly earnings before companies report and the reported numbers do the scoring. Koliseum is the set of point-in-time financial environments we build from that work, for labs to train and evaluate models on.\r\n\r\nThe whole industry is fighting underperformance. Active managers trail their benchmarks, and capital keeps bleeding into passive. AI was supposed to fix that, but it hasn't. Funds either stitch together a dozen point tools or babysit general agents all day, and neither gets them to the trade.\r\n\r\nKimpton OS goes straight to it. It ingests a fund's mandate, strategy, and positions, connects to the institutional data the fund already runs on, and returns a structured trade proposal built for that fund. It's built to disagree, because consensus is poison for investment decisions. Instead of telling a PM what they want to hear, it surfaces the breaches and risks they'd otherwise miss.\r\n\r\nThat same work is how we grade AI. Static benchmarks leak into training data. Simulations reward what their authors imagined. A forecast sealed before the outcome exists and scored when the company reports can't be rehearsed or backdated. We started in markets because they're the one place reality answers on schedule.\r\n\r\nWe're two ex-Goldman engineers and an ex-SpaceX engineer. We left to start our own quantitative systematic hedge fund, raised $10M from a family office at 21 and 22, and scaled it to $35M over four years. We learned to trust live results over historical fit. We built Kimpton inside that fund, then productized the stack.\r\n\r\nWe're live with our first institutional client, a $3.3B manager. Our first market is fundamental equity funds from $1B to $10B, and the labs that need to know whether their models can do this work.", "one_liner": "Live Evaluation Arenas for Financial Work", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1774039716, "tags": [ "B2B", "Investments", "Trading", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/kimpton", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/kimpton.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kimptonai/", "x_url": "https://x.com/KimptonAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dc55a7e4190cac127494553294ea19379fdf8fc3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c05d88c003c84f66eaf06c1307a17c8a6414383c.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0d617461c065ef1783493363bb0e3ba302b96fcf.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 3054189, "full_name": "Jack Zumwalt", "title": "Founder/CEO", "founder_bio": "Co-founder, CEO @ Kimpton AI (YC P26). Building live evaluation arenas for financial work.\n\nJack ran systematic strategies and managed daily operations of Level III Capital, a quantitative systematic trading firm he co-founded after raising $10M to seed the fund at the age of 22.\n\nPrior to that, he was a detection engineer at Goldman Sachs, writing algorithms to detect malicious threat actors who were trying to cyber attack the investment bank. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jack-zumwalt/", "x_url": "https://x.com/jackzumwalt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a585e8e607ecb06564580ecac15424b2a6689fa9.jpg" }, { "user_id": 3486330, "full_name": "Adrian Del Bosque", "title": "Founder/Founding Engineer", "founder_bio": "Co-founder, Founding Engineer @ Kimpton AI (YC P26). Building live evaluation arenas for financial work.\n\nAdrian was a founding engineer at Level III Capital, a quantitative systematic trading firm, where he built the trading infrastructure. Prior to that, he was a Senior Cloud & Platform Engineer at Vistra, managing the cloud infrastructure behind the monitoring application for its 44,000 megawatt power generation fleet. He began his career at SpaceX as part of the Automation & Controls team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adriandelbosque/", "x_url": "https://x.com/adriandelb", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7170a9e1b4b9407448c4642c76bf9282ed68d3ff.jpg" }, { "user_id": 3193138, "full_name": "Mauricio Ortiz", "title": "Founder/CTO", "founder_bio": "Co-founder, CEO @ Kimpton AI (YC P26). Building live evaluation readings for financial work.\n\nMauricio oversaw the entire technical implementation of the investment process, from research to trade execution, at Level III Capital, a quantitative systematic trading firm he co-founded after raising $10M to seed the fund at the age of 21.\n\nPrior to that, he was part of the critical infrastructure team at Goldman Sachs which handled systems for its consumer bank and the Apple Card. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ortizmauricio01/", "x_url": "https://x.com/ortizmauricio_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b89b45ec14d8f2262c93fd6385c2635f6e1ccb59.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 117920, "title": "EvalRouter by Kimpton: One API for AI evaluation", "tagline": "Evaluate any model against any benchmark", "body": "\n![uploaded image](/media/?type=post&id=117920&key=user_uploads/3054189/67ffcd7e-40fd-40ff-81ad-cacb271d97b1)\n\nWe’re Jack, Mauricio, and Adrian, the founders of Kimpton (YC P26). Today we’re introducing **EvalRouter**.\n\nOne API for evaluating any model against any benchmark.\n\n\n\nWe built it because running an evaluation still means setting up a harness, provisioning sandboxes and babysitting long jobs. Model builders need to repeat this work as their models change and they add new benchmarks.\n\nWith EvalRouter you name a model and a benchmark and get graded results back. Choose a managed model or connect your own endpoint, select a benchmark version and set a spending cap. EvalRouter runs the evaluation and returns the results with the recorded answers and execution details. You can inspect what happened and export the report.\n\nCheckout the demo:\n\n\n\nBefore Kimpton, we built and ran a quantitative fund together. Mauricio and I previously worked at Goldman Sachs, and Adrian worked at SpaceX and Vistra. We raised $10M from a family office, built our own research and automated trading systems, and scaled the fund to $35M in assets. At Kimpton, we’ve been building benchmarks and environments to evaluate AI models. EvalRouter makes those evaluations accessible through one API.\n\nRun your next evaluation at . If you build models or maintain a benchmark, we’d like to hear from you. Reach us at [founders@kimpton.ai](mailto:founders@kimpton.ai).", "url": "https://www.ycombinator.com/launches/Ufw-evalrouter-by-kimpton-one-api-for-ai-evaluation", "votes": 6, "created_at": "2026-10-01T21:50:20.304Z" }, { "id": 113565, "title": "Koliseum by Kimpton, Live Evaluation Arenas for AI Models", "tagline": "Real-world market interaction environments, starting with financial markets", "body": "Today we're launching **Koliseum** by [Kimpton](https://bookface.ycombinator.com/company/31420), live evaluation arenas for AI models in financial work.\n\n**The problem**\n\nStatic benchmarks are contaminated soon after publication, and simulations reward the assumptions their designers encode. \n\nThis simply isn't acceptable in finance or any other professional industry. A wrong answer or action can be catastrophic and reality eventually shows whether the claim was right. Almost no evaluation waits to find out.\n\n**Koliseum**\n\nBefore Kimpton, we ran a quantitative fund. Backtests never proved alpha; live markets did. Koliseum applies the same test to models: a model commits inside an arena, the record is sealed, and reality supplies the grade.\n\nTwo kinds of arenas:\n\n* **Prediction Arenas** seal a forecast before the outcome exists and score it against consensus, market, and statistical baselines when reality resolves.\n* **Action Arenas** give a model a bounded task and real tools, then verify success from the resulting system state.\n\n![uploaded image](/media/?type=post&id=113565&key=user_uploads/3054189/789d031b-cca8-4596-8921-dbc9f1544cb4)\n\nThe first Prediction Arena is already running. **EarningsBench** seals earnings forecasts for public companies 24 hours before each release and scores them against consensus and a statistical baseline once results are public.\n\nTwo things are already clear: most open-weight models reproduce consensus exactly, and a simple statistical baseline is harder to beat than a leaderboard alone would suggest.\n\nAlong with these developments, we are introducing a new concept in evaluation: **reality-as-a-judge**.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=113565&key=user_uploads%2F3054189%2Fc6c1ba2c-4e77-4ebc-be71-675f0abd71a6&variant=large)\n\nMost open-ended evaluations are graded by another model or by a human rubric, so the score inherits the grader's assumptions. In reality-as-a-judge, the grader is the outcome itself.\n\n[More info on Koliseum](https://www.kimpton.ai/koliseum)\n\n[Methodology](https://www.kimpton.ai/methodology)\n\n**Our ask**\n\nReach out if:\n\n* You work on post-training or evals at a lab and want your model in the first private cohort. Results stay private unless you publish them.\n* You run a trading firm or a prediction venue and want models scored on your own resolving questions, or want to co-run a public arena.\n* You have a workflow (any industry!) with a verifiable end state and want it turned into an Action Arena.\n\nor know anyone who does.\n\nWrite to us at [founders@kimpton.ai](mailto:founders@kimpton.ai). Thanks for the support!", "url": "https://www.ycombinator.com/launches/TXh-koliseum-by-kimpton-live-evaluation-arenas-for-ai-models", "votes": 3, "created_at": "2026-09-02T16:01:08.067Z" }, { "id": 102078, "title": "Kimpton: Cursor for portfolio managers", "tagline": "AI-native terminal where agents do the research and propose the trades", "body": "**TL;DR** AI can’t trade, but portfolio managers can. Kimpton combines high-resolution public financial markets data, portfolio manager strategy/mandate, portfolio holdings, and transaction data to generate trade ideas for managers.\n\n\n\n**Our Background**\n\nWe are former Goldman Sachs and Vistra Energy engineers who started a quantitative hedge fund together in 2021 after raising $10M from a family office at the ages of 22 and 21 years old, scaling it to $35M at its peak.\n\nWe spent four years systematically trading using the tools that we built in-house to support our systems. Internally, we developed Kimpton to automate many of our own workflows.\n\n![uploaded image](/media/?type=post&id=102078&key=user_uploads/3054189/7f252d74-65d7-4557-92f0-59383e3a782a)\n\n**The Problem**\n\nAI can’t trade. After all, LLMs are the most overfit backtest in all of human history. They are consensus machines and sycophantic by nature. As a result, AI goes largely unused by portfolio managers today.\n\nAgents finally had depth in 2025. We tested LLMs on the markets and were unimpressed with the output. LLMs can’t trade because they are consensus machines and sycophantic by nature. They lack the edge that portfolio managers provide.\n\nAI can’t trade like a portfolio manager, but they can research at 100X the efficiency of an investment analyst. For this reason, Kimpton revolves around the portfolio manager, solving increasingly all of the workflows that they need.\n\nAnalysts spend weeks aggregating data and synthesizing it to generate singular trade ideas that are passed up to portfolio managers for review. It’s time for a change.\n\nInvestment management is built on the idea that analysts and PMs need to spend their days staring at screens all day to find edge in the markets. \n\nTo refactor the investment management industry, we can’t simply provide better tools. We have to automate the entire research layer instead.\n\n**The Solution**\n\nKimpton automates the analysis layer by securely ingesting firm-wide context, portfolio, and transaction data to synthesize fully-formed trade recommendations fitted to their portfolio.\n\nPortfolio managers can challenge the results of the trade proposals through a process we call Adversarial Review, an agentic Socratic questioning to assist portfolio managers in coming to their own conclusions.\n\n![uploaded image](/media/?type=post&id=102078&key=user_uploads/3054189/62ecf56b-91f8-4c4d-a883-6a8be7df6108)\n\nWe developed a harness specifically for the financial markets to make aggregation efficient, fast, and accurate. It has access to high-quality institutional data sources through Factset, Massive, and Tiingo. Real-time data on tens of thousands of global assets across equities, ETFs, indices, insider trades, SEC filings, events, transcripts, company fundamentals, corporate leadership, and more!\n\nOur AI agents also provide portfolio managers with the ability to generate many different types of artifacts, such as real-time dashboards, institutional-grade reports, and comprehensive visualizations.\n\n**Traction**\n\nKimpton is deployed and generating trade proposals on billions of dollars of assets under management today.\n\nPortfolio managers are using Kimpton to monitor their exposures, understand investment thesis drift, earnings coverage, manage positioning across teams, investor reporting, and as an investment team collective brain.\n\nPortfolio managers are underserved today when the potential to refactor the way they work is massive. Kimpton is focused on improving the lives portfolio managers who are actively making decisions in the public markets.\n\n**Ask**\n\nIf you know anyone who manages assets a hedge fund, family office, mutual fund, ETF manager, or other public markets manager — we’d love to speak with them.", "url": "https://www.ycombinator.com/launches/QYQ-kimpton-cursor-for-portfolio-managers", "votes": 9, "created_at": "2026-05-28T07:12:24.038Z" } ] }, { "id": 32254, "name": "Prodigy Research", "slug": "prodigy-research", "former_names": [ "Prodigy AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a2db1ee59cf597cd664444e784ae76e1f753d775.png", "website": "https://prodigy.markets", "all_locations": "San Francisco, CA, USA", "long_description": "Prodigy is the frontier AI trading research lab. We've trained the world's best foundation model for quantitative finance. We've already achieved more than 100% returns in live trading over the course of our YC batch, doubling our capital while major indices were flat. Our founders previously worked on a trading desk at Jane Street, trained frontier AI models at Google DeepMind and shipped cutting-edge AI at Apple to billions of customers. Join us as we use AI to solve the market.", "one_liner": "Training the world's best AI model for quantitative finance.", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1786153448, "tags": [ "Reinforcement Learning", "Finance", "Investing", "Trading", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/prodigy-research", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/prodigy-research.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/prodigy-markets", "x_url": "https://x.com/realProdigyCorp", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a2db1ee59cf597cd664444e784ae76e1f753d775.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": 3174989, "full_name": "Michael Wang", "title": "Founder/CEO", "founder_bio": "Founder and CEO at Prodigy Research (YC S26). Previously Senior Researcher at DeepMind, training and shipping AI models powering Google products with billions of monthly users. Before that, worked on a trading desk at Jane Street, one of the most prestigious and profitable trading firms in the world.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michael-w-02810b161/", "x_url": "https://www.x.com/michaelwangelo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/011ab6f302bb5ee939865ee4899d28ee9ea6acd8.jpg" }, { "user_id": 3203618, "full_name": "Yuhua Wang", "title": "Founder/CTO", "founder_bio": "Founder and CTO at Prodigy Research (YC S26). Previously shipped cutting-edge AI models and agents at Apple to billions of customers. Before that, built Salesforce's flagship AI platform serving hundreds of millions of user requests every day.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yuhua-w-64348a66", "x_url": "https://x.com/yuhuawan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ab0305694f8e67bd288110245604bf4db4e3a31.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109747, "title": "Prodigy: The Frontier AI Trading Research Lab", "tagline": "Training the world's best foundation model for quantitative finance", "body": "**TL;DR** Prodigy Research is an AI lab that has trained the world's best foundation model for quantitative finance. We’ve already achieved 140% returns in live trading over the course of our YC batch, while major indices like the S&P 500 and the Nasdaq were flat or down.\n\n**Traction**\n\n![uploaded image](/media/?type=post&id=109747&key=user_uploads/3203618/c02ef51e-f0e4-43b8-a335-b55e66d5afd2)\n\nOur model beats Claude Fable and GPT-5.6 Sol at financial and quant research tasks. Prodigy's strategies are delta-neutral, and thanks to our rigorous and comprehensive risk controls, we've never had a down week.\n\n\n\n**Why Now**\n\nTrading firms generated hundreds of billions in profit last year, and this number is growing quickly YoY. Global financial markets now exceed $175 trillion in value across equities, derivatives, and digital assets. Prodigy's agents find new opportunities and alpha in the financial markets faster than any team of human quant researchers.\n\n![uploaded image](/media/?type=post&id=109747&key=user_uploads/3203618/31e0abc2-381b-4cdb-8d4f-86498b669b39)\n\n**The Team**\n\nOur founders are two brothers who left seven-figure jobs to build the future of quant trading. We bring together over 16 years of combined experience in quantitative finance, frontier model research, and large-scale AI infrastructure. Michael was a senior researcher at **Google DeepMind**, where he trained SoTA foundation models. He previously worked at **Jane Street**, one of the world’s most successful quantitative trading firms. Yuhua built cutting-edge AI at **Apple** serving **billions of users** across the world.\n\nA new era has arrived in the world of quantitative finance. To learn more, contact [founders@prodigy.markets](mailto:founders@prodigy.markets).", "url": "https://www.ycombinator.com/launches/SY7-prodigy-the-frontier-ai-trading-research-lab", "votes": 34, "created_at": "2026-08-10T18:30:00.360Z" } ] }, { "id": 32257, "name": "Spectre Intelligence", "slug": "spectre-intelligence", "former_names": [ "Spectre Capital" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd275e68bdab3f73081986be229ec8d9f1423ae5.png", "website": "https://www.spectreintelligence.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Spectre Intelligence is a neotrading firm. We create AI traders instead of hiring human ones. Currently trading semis + bio.", "one_liner": "We are a multi-strategy trading firm that trains AI traders. ", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1787421048, "tags": [ "Biotech", "Investing", "Trading", "Semiconductors" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/spectre-intelligence", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/spectre-intelligence.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/spectre-intelligence-ai", "x_url": "https://x.com/spectreintellig", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd275e68bdab3f73081986be229ec8d9f1423ae5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 1251785, "full_name": "Michelle Li", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO at Spectre Intelligence, on leave from Harvard (I studied Economics & Biology and was originally class of '27). Previous research across generative protein language models, bacteriophages, CRISPR Cas9, and more. ISEF grand award winner, RSI and STS scholar.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michelle-zhiya-li/", "x_url": "https://x.com/michellezli", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6eacc1c85541c9e6f7a907d66e8c4b4d53136b3b.jpg" }, { "user_id": 2574740, "full_name": "Joshua Zyzak", "title": "Founder/CTO", "founder_bio": "Founder at Spectre Capital, CS and EE at Harvard, researched deep-RL controllers for quadruped robots and multimodal LLM-robotics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/josh-zyzak/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3a94186fa13fa1983bac60969d2c2ddafff69b21.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 112001, "title": "Spectre Intelligence - a neotrading firm", "tagline": "We're an AI trading research firm, currently in semiconductors and biotech.", "body": "TL;DR: Spectre Capital is a multi-strategy trading firm run by AI agents, not human analysts. We deploy real capital to capture every decision, reasoning trace, and ground-truth outcome, so our agents learn and compound from every mistake. Most AI trading labs pay egregious amounts for training data. Ours pays us when we win.\n\nWe left Harvard after starting a hedge fund from our college dorm (go Currier!).\n\nNow we’re building Spectre Intelligence, a neotrading firm training superhuman AI traders. \n\n**The problem**\n\nIntelligence is getting cheaper, and it will rewire trading. But the scarcest input to markets isn't compute or data feeds or latency, but rather judgment. That data is fragmented, scarce, and the foundation of entire careers. It is also entirely proprietary and guarded fiercely by firms.\n\n**What we do**\n\nWe collect judgment by trading live. Every position our agents take generates decisions, full reasoning traces, and ground-truth P&L. We think this is the ultimate alignment of incentives in one of the largest TAMs in the world.\n\nThe structure is evolutionary from first principles: open competition inside each pod, and strategies and pods are born and killed constantly. \n\nUnlike a traditional pod shop, spinning up a new pod costs compute, not headcount. Our agents work superhuman hours, monitor a superhuman number of things, and learn from every real and simulated trade. Our AI traders develop specialized strategies in parallel, allowing us to scale far beyond the limits of human bandwidth. This is an edge that scales, compounds, and isn't held by any one employee.\n\n**Traction**\n\n\\- Two live pods: semiconductors and biotech equities. (We picked the verticals, not our AI traders.)\n\n**Why now?**\n\nAI is the worst it will ever be, LLM traders aren't even good yet, but we believe the writing is on the wall and want to be on the frontier. Quant funds were arguably the first agent labs: ML theory embedded for decades, quants as very expensive agents. We're building the generation after.\n\n**The ask**\n\nIf any of this resonates, feel free to reach out: michelle@spectreintelligence.ai\n\nWe’re also collecting an expert network across semis + biotech, so if you have experience, feel free to join at ", "url": "https://www.ycombinator.com/launches/T8T-spectre-intelligence-a-neotrading-firm", "votes": 5, "created_at": "2026-08-24T15:47:00.614Z" } ] }, { "id": 32749, "name": "Arbital", "slug": "arbital", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/41b5fd38dcf7826f6043c80c1a7e50338b8b5cb1.png", "website": "https://www.arbital.xyz", "all_locations": "San Francisco, CA, USA", "long_description": "Arbital lets you trade perps, memes, stocks, and run market-making strategies from one place. In our first 7 months, 2,700 traders have traded $1.35B in volume through Arbital, and we're now doing $435M/month. \r\n\r\nWe're building towards a social, mobile-first trading app that brings tokenized equities, crypto, and perps to everyone.", "one_liner": "The social trading app for stocks, memes, and perps", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Consumer Finance", "launched_at": 1785892617, "tags": [ "Fintech", "Crypto / Web3", "Investing", "Trading", "AI" ], "tags_highlighted": [ "Crypto / Web3" ], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Fintech", "Consumer Finance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/arbital", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/arbital.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/arbitalxyz/", "x_url": "https://x.com/arbital_xyz", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/41b5fd38dcf7826f6043c80c1a7e50338b8b5cb1.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": 531306, "full_name": "Karon Pangestu", "title": "Founder/CEO", "founder_bio": "Co-founder at Arbital. Head of Growth and first non-engineering hire at Aevo, where I led growth, marketing, and product - helping scale the exchange from $1B to ~$100B in cumulative trading volume, and growing DAU from 1K to 30K in five months. Helped take the company public via token launch (token now listed on Binance and Bybit, ~$3.8B ATH valuation). Previously co-founded Launchy, a crypto media platform reaching 20K+ builders and investors. BA in Mathematics & Statistics, LSE.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pangestukaron/", "x_url": "https://x.com/pangestu_karon", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3dd6c9bdc356a470d65fdf0060c83396b8b179ca.jpg" }, { "user_id": 3674258, "full_name": "Steven Mulyawan", "title": "Founder/COO", "founder_bio": "Co-founder at Arbital. Led BD and partnerships at Aevo across Asia, personally building and owning relationships with major KOLs, agencies, and high-net-worth traders - the network we now tap directly to drive Arbital's growth. Onboarded 10,000+ traders during Aevo's scale from $1B to ~$100B in cumulative volume.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/steven-mulyawan-974ab7252?utm_source=share_via&utm_content=profile&utm_medium=member_ios", "x_url": "https://x.com/0xstevezilla", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/07422eb4413225536a4e713e23fb4cd54da5d006.jpg" }, { "user_id": 3492152, "full_name": "Vincent Owen Toniwan", "title": "Founder/CTO", "founder_bio": "Co-founder at Arbital. Built and ran the backend and market-making infrastructure that powered Aevo as it scaled from $1B to ~$100B in cumulative volume - driving latency down to <2ms at 100k events/s. Built Aevo Degen from scratch, one of the first exchanges offering up to 1,000x leverage. Previously led backend at N1 (terminal.trade) and MEV infrastructure at Bitwyre.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vincent-owen-202a9821a/", "x_url": "https://x.com/0xvincent_eth", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e93aee4429cb608bc5224c9c3761ee549666ed47.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110390, "title": "Arbital - Trade memes, stocks, and perps from one place", "tagline": "Trade Anything, Anywhere - 2,700 traders have traded $1.35B in 7 months", "body": "**TL;DR:** Arbital is a trading terminal for memecoins, stocks, and perps. In our first seven months, 2,700 traders have traded $1.35B through Arbital. We recently hit a record $41M in daily volume and are now doing \\~$435M/month in trading volume. \\\n\\\n\n\n**The problem**\n\nVolatility no longer lives in one market.\n\nOn any given day, it might be a memecoin ripping, an AI stock pumping, or a Korean or Chinese stock moving.\n\nBut two things get in the way:\n\n* **Discovery is noisy.** Trade ideas are scattered across social feeds, and it's hard to know who's credible or why they're making a trade.\n* **Execution is fragmented.** There's no single place to trade every market that matters - crypto, memes, perps, and equities.\n\nArbital brings traders, trade ideas, and markets into one place.\n\n**What we built**\n\nArbital is one place to discover and trade the markets you care about most.\n\nWith Arbital, you can:\n\n* Trade memecoins, equities, and perps\n* Run automated strategies like market making and grid trading\n\nWe’re also building a social, mobile-first trading app where users can discover what other traders are buying, understand their reasoning, and execute immediately.\n\n**Traction - first 7 months**\n\n* **$1.35B+** total trading volume\n* **$41M** in a single day - a new all-time high\n* **\\~$435M/month** in trading volume\n* **2,700** traders\n\n**Why us**\n\nBefore Arbital, we were early team members at Aevo. We helped scale the exchange from \\~$1B to $100B in cumulative volume, grew DAU from 1,000 to 30,000 in five months, and helped launch its token, which reached a \\~$3.8B peak valuation and is listed on Binance and Bybit.\n\nOn the engineering side, we built trading systems that handled 100K events per second with <2ms latency.\n\nNow we're using what we learned to build a simpler trading experience for a global audience.\n\n![uploaded image](/media/?type=post&id=110390&key=user_uploads/531306/fe17e817-a600-47c9-8476-41dabab20359)\n\n**Our asks**\n\nIf you trade memes, perps, or stocks, we'd love for you to try Arbital and tell us what you think. Trader feedback helps us make the product better.\\\n\\\n**Try Arbital:** \n\n**Feedback / intros:** [karon@intric.org](mailto:karon@intric.org)\n\n**Telegram:** @kp_9961", "url": "https://www.ycombinator.com/launches/SiU-arbital-trade-memes-stocks-and-perps-from-one-place", "votes": 69, "created_at": "2026-08-15T02:00:00.546Z" } ] }, { "id": 32814, "name": "Computable", "slug": "computable", "former_names": [ "Hobby.Trade" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4778fcb121d43a885f6b39a13d66a2fe2364fb1a.png", "website": "https://getcomputable.com", "all_locations": "New York City, NY, USA", "long_description": "", "one_liner": "Derivatives Exchange for Compute", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1784612730, "tags": [ "Marketplace", "Finance", "Cloud Computing", "Trading", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/computable", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/computable.json", "year_founded": null, "city": "New York City", "country": "US", "linkedin_url": "", "x_url": "https://x.com/getcomputable", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4778fcb121d43a885f6b39a13d66a2fe2364fb1a.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": [], "jobs": [], "news": [], "launches": [ { "id": 110494, "title": "Computable: The Exchange for Physical Compute", "tagline": "the first exchange for physical compute where you can buy, sell, use, and hedge GPU capacity for exactly the dates you want", "body": "Hi, we're Computable, the first exchange for physical compute where you can buy, sell, and use GPU capacity for exactly the dates you want like staying on Airbnb. You pay less, commit less, and stay flexible.\n\n\n\n**The problem**\n\nCompute is the newest major commodity, but it still trades like an asset from the last century. You overpay going in and you eat the weeks you don't use.\n\n**How it works**\n\nWe put a public price on every week. Open the market and you'll see dedicated H100 nodes, every week through January 2027, each with its own price, from $2.55/GPU-hr. Pick a start week and an end week, and it's yours.\n\n* **Buy the exact weeks you need.** Two nodes for the last two weeks of October is just a few clicks, and you never pay for weeks you don't want.\n* **Sell back what you don't use.** If your plans change, sell the weeks back to the market whenever you want; we keep a market quote posted on every position.\n* **Lock next year at a price you can see.** January 2027 is on the grid today, so you know exactly what the future run costs before another H100 40% rate jump happens.\n* **Real machines, fast.** Dedicated H100 SXM nodes, full SSH root access, live within an hour of your window start.\n\n**Why us**\n\nOur founding team comes from Jump Trading, Coinbase, Citadel Securities, and other trading firms and exchanges. We have spent our careers building markets. Stay tuned for more products coming soon as we build out the financial infrastructure of the AI economy.\n\n**Our asks**\n\n* **Open [market.getcomputable.com](http://market.getcomputable.com) and buy GPU!**\n* **Tell us what to list next: GPU type, region, dates.** Email [team@getcomputable.com](mailto:ray@getcomputable.com); it directly sets what goes on the grid.\n* **If GPU prices move your margins or you are worried about your long-term contracts, email [team@getcomputable.com](mailto:ray@getcomputable.com).** We have a super cool product in pipeline for exactly this. Early testers get it first!", "url": "https://www.ycombinator.com/launches/SkA-computable-the-exchange-for-physical-compute", "votes": 26, "created_at": "2026-08-18T19:00:00.333Z" } ] }, { "id": 39117, "name": "Godpack", "slug": "godpack", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5cf26da4e502d22859bba31a1834d27e69baf813.png", "website": "https://godpack.gg/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "100% fair packs for collectors", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1791917830, "tags": [ "Marketplace", "Consumer", "Trading" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2027", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/godpack", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2027/godpack.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/godpack/", "x_url": "https://x.com/godpackgg", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5cf26da4e502d22859bba31a1834d27e69baf813.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": 2530388, "full_name": "William Yu", "title": "Founder/CEO", "founder_bio": "CEO at Godpack // prev. QFEX, Kalshi, hs dropout", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/wlyu/", "x_url": "https://x.com/hft_larp", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f90f42dc6bd611512d81ceae4098ea624a1d8d53.jpg" }, { "user_id": 3113618, "full_name": "Samyak Jain", "title": "Founder/CTO", "founder_bio": "CTO at Godpack", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/skjn/", "x_url": "https://x.com/samyaksimulates", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/126281640c788104828b8bd4722a5371c201450f.jpg" } ], "jobs": [], "news": [], "launches": [] } ]