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    "website": "https://alpaca.markets/",
    "all_locations": "San Francisco, CA, USA; San Mateo, CA, USA; Remote",
    "long_description": "Alpaca is an API infrastructure and licensed financial services company that allows developers and businesses to offer stock and crypto investing to their end-customers. We work with more than 100 companies across the globe to enable their investing products, and our mission is to provide financial services to everyone on the planet.\r\n\r\nAlpaca’s globally distributed team consists of developers, traders, and brokerage business specialists and backed by a group of well-capitalized investors including Portage Ventures, Spark Capital, Tribe Capital, Unbound, Social Leverage, Horizons Ventures, Y Combinator as well as highly experienced industry angel investors and founders. We are also very tech-enthusiastic with notable track records in open-source and startup communities.",
    "one_liner": "API-first stock and crypto brokerage platform",
    "team_size": 150,
    "industry": "Fintech",
    "subindustry": "Fintech -> Banking and Exchange",
    "launched_at": 1541793742,
    "tags": [
      "Developer Tools",
      "Fintech",
      "API",
      "Investing",
      "Infrastructure"
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    "batch": "Winter 2019",
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    "regions": [
      "United States of America",
      "America / Canada",
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    "stage": "Growth",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/alpaca",
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    "year_founded": 2015,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/alpacadb-inc-",
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    "founders": [
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        "user_id": 45235,
        "full_name": "Yoshi Yokokawa",
        "title": "Founder/CEO",
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        "full_name": "Hitoshi Harada",
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        "id": 63278,
        "title": "Senior Software Engineer - Clearing & Securities Finance",
        "url": "https://www.ycombinator.com/companies/alpaca/jobs/yGfCaXS-senior-software-engineer-clearing-securities-finance",
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        "id": 67894,
        "title": "Senior/Staff+ Software Engineer - Ledger Team",
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        "role_type": "Full stack",
        "salary_range": "$100K - $180K",
        "equity_range": "",
        "experience": "6+ years",
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        "skills": []
      },
      {
        "id": 67895,
        "title": "Senior or Staff+ Software Engineer - Identity",
        "url": "https://www.ycombinator.com/companies/alpaca/jobs/4f0EVn6-senior-or-staff-software-engineer-identity",
        "location": "CA / US / HU / AR / MX / BR / DE / ES / Remote (CA; US; HU; AR; MX; BR; DE; ES)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100K - $170K",
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        "id": 67897,
        "title": "Senior or Staff+ Software Engineer - Trading",
        "url": "https://www.ycombinator.com/companies/alpaca/jobs/kPjnUBh-senior-or-staff-software-engineer-trading",
        "location": "Global - Remote Anywhere / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$120K - $200K",
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        "id": 68870,
        "title": "Senior Analytics Engineer",
        "url": "https://www.ycombinator.com/companies/alpaca/jobs/0UHKXgW-senior-analytics-engineer",
        "location": "CA / HU / US / JP / BR / Remote (CA; HU; US; JP; BR)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Data science",
        "salary_range": "$90 - $110",
        "equity_range": "",
        "experience": "3+ years",
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        "skills": [
          "Git",
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          "Data Warehousing"
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    ],
    "news": [
      {
        "title": "Stock trading API developer Alpaca raises $15M convertible note from SBI Group  | TechCrunch",
        "url": "https://techcrunch.com/2023/10/12/stock-trading-api-developer-alpaca-raises-15m-convertible-note-from-sbi-group/",
        "date": "Oct 12, 2023"
      },
      {
        "title": "Alpaca raises $50M to rapidly scale its API-delivered equities trading business – TechCrunch",
        "url": "https://techcrunch.com/2021/08/30/alpaca-raises-50m-to-rapidly-scale-its-equities-trading-api-business/",
        "date": "Aug 30, 2021"
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    "id": 12249,
    "name": "Spring in Africa",
    "slug": "spring-in-africa",
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      "Wallets Africa",
      "Wallets",
      "Spring",
      "Spring Africa",
      "Spring",
      "The Wallets Company",
      "Wallets Africa",
      "Wallets Africa Inc",
      "The Wallets Company",
      "Spring",
      "Wallets Africa",
      "Spring",
      "Wallets Africa"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/626fd22b786f76632e2cc82d33ca1f9e32d00011.png",
    "website": "https://springinafrica.com",
    "all_locations": "San Francisco, CA, USA; LA, Nigeria; Remote",
    "long_description": "Backing innovation, building financial technology. Focused on emerging markets and leveraging people finesse with capital. ",
    "one_liner": "Investing in innovation ",
    "team_size": null,
    "industry": "Fintech",
    "subindustry": "Fintech -> Asset Management",
    "launched_at": 1543950223,
    "tags": [
      "Fintech",
      "SaaS",
      "Payments",
      "Investing",
      "Neobank"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2019",
    "status": "Active",
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      "Fintech",
      "Asset Management"
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    "regions": [
      "United States of America",
      "Nigeria",
      "America / Canada",
      "Africa",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/spring-in-africa",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2019/spring-in-africa.json",
    "year_founded": 2018,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
    "x_url": "https://twitter.com/walletscompany",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/626fd22b786f76632e2cc82d33ca1f9e32d00011.png",
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    "founders": [
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        "user_id": 146695,
        "full_name": "John Oke",
        "title": "Founder",
        "founder_bio": "Software engineer from Lagos Nigeria. \n\nJohn Oke is a software engineer and fintech entrepreneur, passionate about building innovative financial solutions for emerging markets. With extensive experience in developing digital banking and payment products, John has played a key role in transforming how businesses and individuals interact with financial services.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/johnoke",
        "x_url": "https://twitter.com/thejohnoke",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0eccbf35bab54d2dc035e4b1fcc88c7ec9cf2b20.jpg"
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    "news": [
      {
        "title": "Wallets Africa Introduces Spring: A Multi-Currency Wallet | TechCabal",
        "url": "https://techcabal.com/2023/10/19/wallet-africa-introduces-spring-a-multi-currency-wallet/",
        "date": "Oct 19, 2023"
      },
      {
        "title": "Seven Africa-focused startups present at Y Combinator’s Demo Day | TechCrunch",
        "url": "https://techcrunch.com/2019/03/20/seven-africa-focused-startups-present-at-y-combinators-demo-day/?guce_referrer=aHR0cHM6Ly93d3cud2FsbGV0cy5hZnJpY2Ev&guce_referrer_sig=AQAAAKpAs3tRJFpt2_uPVl4jBT6St8TTQjyXhGvs728nK_HrXdZXRnQcJ5f9WzC7gCCAFMqOIpK0zcExs7Z2GOP2BRfB3_kZxWoBqjbtWpFt_qREBzTm-oyvu2D_HMDEOaJVLAok3dYN9yjZUXGR_jIWbJBP4ZWMIgrpkFzC2ys8YMpT",
        "date": "Mar 20, 2019"
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  {
    "id": 12533,
    "name": "Lofty",
    "slug": "lofty",
    "former_names": [
      "Lofty AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/62a04ef2b7d6dce455bc9febecc0ebda46301613.png",
    "website": "https://www.lofty.ai/",
    "all_locations": "Los Angeles, CA, USA; Miami, FL, USA; Remote",
    "long_description": "Lofty is a marketplace that let's anyone sell a house to investors online. Instead of the typical real estate transaction where one seller sells to one buyer, Lofty is much more flexible.\r\n\r\nSellers fractionalize their equity ownership in the property into smaller units, so that anyone can buy a portion for as little as $50, allowing access to one of the best asset classes for people who have previously been locked out. Sellers can also sell a portion of their equity (starting at just 10%) instead of the entire property or create customized HELOC structures.\r\n\r\nInvestors can browse a variety of individual real estate properties ranging from commercial strip malls, a HELOC in someone's house, Airbnbs, to a single-family rental properties, and directly purchase ownership in these properties in under 5 minutes. There is no lockup period. Users can constantly trade these ownerships with others on the marketplace.\r\n\r\nInvestors truly legally own the properties they invested in and co-manage it with other investors through an online governance program. Owners have so far voted on how to handle various repairs, delinquent tenants, the sale of the underlying property, and much more.\r\n\r\nLofty never custodies or handles user funds or assets. Through smart-contracts on the blockchain, all transactions are directly peer-to-peer.\r\n\r\nIf we succeed, we'll have built the NASDAQ for real estate and transformed how real estate is bought and sold in the USA.",
    "one_liner": "Building the NASDAQ for Real Estate.",
    "team_size": 7,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1555991344,
    "tags": [
      "Fintech",
      "Crypto / Web3",
      "Real Estate",
      "Investing"
    ],
    "tags_highlighted": [
      "Crypto / Web3"
    ],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2019",
    "status": "Active",
    "industries": [
      "Fintech"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/lofty",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2019/lofty.json",
    "year_founded": 2018,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/loftyai/",
    "x_url": "https://twitter.com/lofty_ai",
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    "founders": [
      {
        "user_id": 283636,
        "full_name": "Max Ball",
        "title": "Founder",
        "founder_bio": "Co-Founder at Lofty (YC S19)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/maxball/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e1f40dd977e17b391b07fa44313d7ce3ec5d73c7.jpg"
      },
      {
        "user_id": 280486,
        "full_name": "Jerry Chu",
        "title": "Founder",
        "founder_bio": "USC alum, former Barclays Risk Management Analyst, and self-taught full-stack developer. I'm currently the CEO.\n\nYC Badge: 0xbc2e7da603f3dec73f658971c045c3023fb8975a",
        "is_active": true,
        "linkedin_url": null,
        "x_url": "https://twitter.com/PMDBT",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c34a047249effd3e296a1f47fe96df7ae4c0e370.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Bitcoin drops 8% in a week as volatility spikes to near one-year high: CNBC Crypto World - YouTube",
        "url": "https://youtu.be/jankz8epmaE?si=Zw3E4LI7-FTwO6bZ&t=151",
        "date": "Mar 22, 2024"
      },
      {
        "title": "Arrived, Lofty AI, Landa: Is fractional real estate a good investment? - Vox",
        "url": "https://www.vox.com/money/23620847/fractional-real-estate-investing-trend",
        "date": "Mar 03, 2023"
      },
      {
        "title": "11 Startups That Help Almost Anyone Make Money in Real Estate",
        "url": "https://www.businessinsider.com/real-estate-investing-fractional-ownership-second-home-landlord-investment-property-2022-6",
        "date": "Dec 29, 2022"
      },
      {
        "title": "Startup Aims to Help You Invest in Real Estate – NBC Bay Area",
        "url": "https://www.nbcbayarea.com/news/local/startups-lofty-real-estate/2973195/",
        "date": "Aug 25, 2022"
      },
      {
        "title": "Have $50? With this startup, you can become a real estate investor",
        "url": "https://www.bizjournals.com/southflorida/inno/stories/news/2022/08/11/investing-with-lofty-ai.html",
        "date": "Aug 11, 2022"
      }
    ],
    "launches": [
      {
        "id": 81777,
        "title": "Lofty - The NASDAQ for real estate",
        "tagline": "A marketplace to buy and sell investment properties with instant liquidity.",
        "body": "## What is Lofty?\n\n![uploaded image](/media/?type=post&id=81777&key=user_uploads/280486/b30729a4-1034-48ea-9ecc-0960d7862b2f)\n\n[Lofty](https://www.lofty.ai) is a real estate marketplace, where people can buy and sell fractional ownership in real estate properties in seconds for as low as $50.\n\nAnyone can come to list a property on Lofty for sale. We convert the equity of the property into tradable tokens on the blockchain through a process called \"tokenization\". They can then list as much or as little of it as they want for sale on the marketplace.\n\nThere are thousands of investors from around the world using Lofty to invest and build their own real estate portfolios. Many of them have also listed and sold partial ownership in properties they already owned (including their primary residences).\n\nWe’re the only platform that lets you buy AND sell fractional ownership with no restrictions or lock-up periods.\n\nNow, we’re launching a new feature that allows you to instantly buy and sell ownership in properties without the requirement of a traditional counterparty.\n\nFor the first time in the world, you can now buy and sell equity in a house (grants you legal ownership + management control) with the same experience as trading a share of AAPL on Robinhood.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=81777&key=user_uploads/280486/f0e480b1-5df8-40d0-948d-4dbc35c9ebe0)\n\n## How does ownership work?\n\nEvery property’s deed is legally held by a unique WY DAO LLC. Unlike a traditional LLC that has a centralized managing member/partner, these LLCs are algorithmically managed through smart-contracts on the blockchain.\n\nEvery member has equal power and voting rights based on how much of the LLC they own. So, by owning 10% of a DAO, you legally own 10% of the underlying property. The tokens/shares are legal representations of ownership in the LLC; whoever owns tokens of the LLC, also owns the LLC, which means they also own the property.\n\nCo-ownership of properties is very common in the US and is no different than if you co-owned a house with family members or close friends. But instead of informally discussing how to manage things over the phone or in meetings, the management process is formalized through the “governance program”, where members vote on all management decisions. One token equals one vote and a super majority of 60% is required for any decisions to pass.\n\n**We don’t manage your properties nor do we sell properties to you. Instead, you’re directly buying from and selling to other people on the platform. Your funds never touch our accounts** and you settle directly with each other using the blockchain through smart contracts. We don’t take a cut of your earnings or charge you management fees. Instead, we make a 6% transaction fee for every transaction on the platform. It’s split, so that the seller pays 3% and the buyer pays 3%.\n\n* Now anyone can invest and actually legally own real estate for as little as $50.\n* Anyone from around the world can participate; **you don’t have to be an accredited investor.**\n* Our smallest users have invested $50 while our largest user has invested over $2,000,000.\n* **No crypto understanding or experience needed, you can pay with credit cards or ACH transfers.**\n\n# **To sign up, just create an account on **[**Lofty**](https://www.lofty.ai)**.**\n\n## Examples of properties\n\n**We have tokenized over 170 properties to date.** You can find almost any type of property on Lofty and we’re adding1 new property per week.\n\n![uploaded image](/media/?type=post&id=81777&key=user_uploads/280486/4352a64e-d17d-4547-b8b7-0c78afc91432)\n\n* [A single-family house in Texas](https://www.lofty.ai/property_deal/1821-Donetto-Dr_Leander-TX-78641) being used as a standard long-term rental.\n* [A single-family house in FL](https://www.lofty.ai/property_deal/122-Florida-Park-Dr_Palm-Coast-FL-32137) where the tenant has an option to rent-to-own and purchase the property from owners.\n* [Cool ranch in CA](https://www.lofty.ai/property_deal/33008-Joshua-Ave_Acton-CA-93510), where the owner is basically doing a HELOC through Lofty.\n\n  ![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=81777&key=user_uploads/280486/098a28ee-51eb-49cf-af21-0f5973c77c09)\n\n* [Vacation rental cabin in CO](https://www.lofty.ai/property_deal/902-Karlann-Dr_Black-Hawk-CO-80422), short-term rental through Airbnb.\n\n  ![uploaded image](/media/?type=post&id=81777&key=user_uploads/280486/ac44e1f5-6dce-41de-9975-8bf811fe441f)\n\n* [Parcel of Land in NY](https://www.lofty.ai/property_deal/6117-Hyde-Flats-Road-21_Black-Creek-NY-14714), where you can determine with your fellow co-owners to add more value by leasing out parts of it to solar companies and a local farmer.\n* [Historic four-plex in upstate NY](https://www.lofty.ai/property_deal/88-Madison-Ave_Albany-NY-12202), all short-term rental units.\n\n![uploaded image](/media/?type=post&id=81777&key=user_uploads/280486/566c24c9-c8c7-4200-9329-d09df468ea57)\n\n## Instant liquidity + lending\n\n![uploaded image](/media/?type=post&id=81777&key=user_uploads/280486/67ce02ec-1476-4847-bf37-93d2621da70e)\n\nWe’re proud to introduce our [newest feature](https://amm.lofty.ai), the automated-market-maker and liquidity pools! You can read more in-depth about how this all works in our [learning center](https://learn.lofty.ai/en/collections/7492346-proactive-market-maker-pmm-liquidity-pools).\n\nWe took some concepts from decentralized exchanges (dexes) in the web3 world and adapted them to better fit a real world asset like a house.\n\n**The algorithm borrows liquidity from people on the internet. It uses this borrowed liquidity to trade with Lofty users, which allows you to buy and sell ownership instantly without needing a traditional counterparty.**\n\nThe result is for the first time in the world, you can now directly buy and sell legal ownership in a specific property with the same speed and user experience as buying AAPL or TSLA on Robinhood.\n\nOn the other side, you can also now lend out your real estate ownership and/or money for yield. This is especially beneficial for lending out your real estate ownership, because you can continue to collect rental income from the property and vote on governance decisions, while also getting yield from lending.\n\n**You can view our lending platform **[**here**](https://amm.lofty.ai)** and if you don’t have USDC (a stable coin) to lend out, no worries. We have our own on-ramps at Lofty and honor 1:1 exchange rates between USD and USDC. You can also directly convert USD to USDC on Coinbase, then send it to your Lofty account.**\n\nThis feature is completely opt-in. Some of our users only invest in real estate, some only lend out funds, while others interact with both.\n\n## **Referral Credit**\n\nIf you refer a seller to our marketplace and they end up listing a property for sale, you'll receive a $1,000 cash referral bonus.\n\nAdditionally, if you refer anyone who spends $250 within the first month on the platform, you’ll both receive a $50 gift certificate to use on any property on the marketplace.\n\nFor any questions, feel free to reach out to us at [info@lofty.ai](mailto:info@lofty.ai) and follow along our journey to overhaul the real estate market on [X/Twitter](https://x.com/lofty_ai).",
        "url": "https://www.ycombinator.com/launches/LGz-lofty-the-nasdaq-for-real-estate",
        "votes": 823,
        "created_at": "2024-06-26T21:02:10.188Z"
      }
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    "id": 13391,
    "name": "Spenny",
    "slug": "spenny",
    "former_names": [],
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    "website": "http://spennyapp.com",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Spenny is the Acorns for India. Every time a user make any digital transaction, we round off the amount to the nearest 10 INR and invest it for them into a diversified portfolio, automatically.\r\n\r\n400M millennials in India don't invest because they don't have enough time, knowledge or access to large capital. With Spenny, they just connect the card and invest every time they spend.\r\n\r\nWe're growing 67% WoW since launch, with 3,000+ users and $15,000 in AUM. Indians put $500Bn into their bank accounts annually. We charge 1.75% of the AUM for investments. That's a direct ~$9Bn market in India alone.\r\n\r\nPotentially every time a user makes a transaction, we make money. And in that sense, the timing for Spenny couldn't have been better: 1 Trillion+ transactions are expected in 2021 because of factors like Whatsapp launching its P2P payments in India for its 400M users. And the emergence of UPI means every Indian has a virtual bank account now. \r\n\r\nMore interesting revenue models develop from the transaction data insights of our users. We analyse the rich data to A) up-sell more financial products like insurance etc., and B) create brand loyalty programs & partnerships.\r\n\r\nWe acquire customers at minimal CAC by bank partnerships. We leverage the banks' existing users, by integrating with their mobile app. In turn, we invest into their mutual funds.\r\n\r\nOur long-term vision is to become a one-stop asset management solution for millennials.",
    "one_liner": "Acorns for India. Every time you swipe you make a digital…",
    "team_size": 2,
    "industry": "Fintech",
    "subindustry": "Fintech -> Consumer Finance",
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    "regions": [
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      "South Asia"
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    "stage": "Early",
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2020/spenny.json",
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    "country": "IN",
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        "user_id": 349069,
        "full_name": "Gaurav Arora",
        "title": "Founder",
        "founder_bio": "Founder of spenny, scaled to 500,000 users and exited. Full stack product builder across fintech and AI.",
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        "title": "CRED Acquires Savings And Investment Platform Spenny | Entrepreneur",
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        "date": "Jun 23, 2023"
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    "id": 13412,
    "name": "Easyplan",
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    "website": "https://easyplan.in/",
    "all_locations": "MH, India",
    "long_description": "Easyplan is an investment app for beginner investors in India (kind of a cross between Betterment and Qapital in the US). We also provide users with a credit card secured by their investments. \r\n\r\nWe launched with money market funds and have ~40,000 customers who’ve invested (~40% MoM growth). The pandemic spurred interest among new investors, and our AUM has grown 3x since April 2020. And we’ve done this with a cost of acquisition that is 10% of the industry average. \r\n\r\nHere’s the problem we see. Only 10% of the 100 million middle-income Indian workers have invested in the markets. This is despite the fact that they save ~30% of their income, making this a $325B potential market in assets under management. \r\n\r\nHowever, current investment apps in India are built for active investors. With over 16,000+ mutual funds and 5000+ stocks to choose from, they are far too complicated for beginners, who make up most of the market.\r\n\r\nWe’re building an AI - driven investment planning software that is designed for beginners. Users use our conversational AI to get diversified mutual fund portfolios tailored to their goals. We also offer users a credit card secured by their investments, so they can earn return without losing liquidity.\r\n\r\nIn terms of business model, we make commissions on the asset we manage, and interchange fees on the fund. We estimate we can make $12 per user per year, which is 6x our current acquisition cost of $2 per investor.",
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        "user_id": 171706,
        "full_name": "Manisha Pandita",
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        "linkedin_url": "https://www.linkedin.com/in/manisha-pandita?originalsubdomain=in",
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        "title": "Y Combinator Backed Easyplan Acquired By Neobanking Startup Jupiter",
        "url": "https://inc42.com/buzz/y-combinator-backed-easyplan-acquired-by-neobanking-startup-jupiter/",
        "date": "Jun 28, 2021"
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    "id": 22903,
    "name": "Finary.com",
    "slug": "finary-com",
    "former_names": [
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    "website": "https://finary.com/en",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Finary is empowers retail investors to grow their empire by tracking, managing & investing their money on one App.",
    "one_liner": "The new wealth manager for Europe",
    "team_size": 80,
    "industry": "Fintech",
    "subindustry": "Fintech -> Asset Management",
    "launched_at": 1616250491,
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      "Investing",
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    "regions": [
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      "Remote",
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    "url": "https://www.ycombinator.com/companies/finary-com",
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    "year_founded": 2020,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/finaryhq/",
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        "full_name": "Mounir Laggoune",
        "title": "Founder",
        "founder_bio": "CEO @ Finary. I'm on a mission to give power back to savers. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mounirlaggoune/",
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        "date": "Mar 30, 2022"
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        "title": "Finary wants to reimagine private banking • TechCrunch",
        "url": "https://techcrunch.com/2022/02/24/finary-wants-to-reimagine-private-banking/",
        "date": "Feb 24, 2022"
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    "id": 24177,
    "name": "HyperTrader",
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    "website": "https://gethypertrader.com",
    "all_locations": "Austin, TX, USA; Remote",
    "long_description": "Unlock your trading superpowers wtih HyperTrader. As traders, we reimagined the ultimate trading experience for you. HyperTrader is fast, efficient, accurate, and secure.\r\n\r\n✔️ Streamline your workflow with fewer clicks.\r\n\r\n✔️ Speed up your trading with fast execution.\r\n\r\n✔️ Stay informed with real-time position updates.\r\n\r\n✔️ Trade safe with secure encryption.",
    "one_liner": "The Trading Terminal For Crypto Traders",
    "team_size": 10,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1626101759,
    "tags": [
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    "top_company": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/hypertrader",
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    "year_founded": 2018,
    "city": "Austin",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/hypertrader",
    "x_url": "https://twitter.com/HyperTraderApp",
    "fb_url": "https://facebook.com/HyperTraderApp",
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        "linkedin_url": "https://linkedin.com/in/amargautam",
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        "full_name": "Kunal Kumar",
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        "founder_bio": "Kunal has a degree in Computer Science & Engineering. He has more than 9 years of experience in build complex software products. He has done multiple startups in the past. He has also worked at McAfee.",
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    "id": 24194,
    "name": "Aqua",
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    "website": "https://www.investwithaqua.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "One platform to put your alternative assets on autopilot. ",
    "one_liner": "The AI-Native Turnkey Alternative Investment Platform (TAIP)",
    "team_size": 23,
    "industry": "Fintech",
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    "year_founded": 2021,
    "city": "New York City",
    "country": "US",
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        "full_name": "Rohan Marwaha",
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        "id": 83746,
        "title": "GTM Associate",
        "url": "https://www.ycombinator.com/companies/aqua/jobs/OMpYiit-gtm-associate",
        "location": "New York, NY, US",
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      {
        "id": 111455,
        "title": "Chief Compliance Officer and General Counsel",
        "url": "https://www.ycombinator.com/companies/aqua/jobs/50a8BlO-chief-compliance-officer-and-general-counsel",
        "location": "New York, NY, US",
        "type": "Full-time",
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        "role_type": null,
        "salary_range": "$90K - $170K",
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        "experience": "6+ years",
        "visa": "US citizen/visa only",
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    ],
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      {
        "title": "Step aside NFTs, Aqua thinks modern investors should dive into private equity – TechCrunch",
        "url": "https://techcrunch.com/2021/11/02/step-aside-nfts-aqua-thinks-modern-investors-should-dive-into-private-equity/",
        "date": "Nov 02, 2021"
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    ],
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    "id": 24498,
    "name": "Levo",
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    "all_locations": "Mexico City, CDMX, Mexico; Remote",
    "long_description": "Levo is a regulated treasury management platform for startups and SMBs to optimize idle cash with tailor-made investment, cash management and working capital strategies ",
    "one_liner": "Treasury management platform for SMBs to optimize idle cash in Latam",
    "team_size": 6,
    "industry": "Fintech",
    "subindustry": "Fintech -> Asset Management",
    "launched_at": 1625518405,
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        "body": "Hey everyone! We are excited to launch [Weltio](https://weltio.com/) - a low cost platform designed for Latam users to open a brokerage account in US dollars for investment in US equities and 20+ cryptocurrencies. Weltio is built on an API first model that allows us to focus on the user experience by building features for the middleware and front end.\n\n**The Problem**\n\nThere is a historical challenge to create and transfer wealth through generations in Latin America.  There is a lack of access to world-class assets for the middle and middle-upper classes, costs are high, education is low, and customer experience is lagging behind advanced economies.  In the past 30 years, investing in the US markets has yielded a 5x benefit (adjusted for inflation), while in Mexico, as an example, yields negative returns.  \n\nThe chart below summarizes how big the overall disparity of investment outcomes between the investing in local assets vs. global assets:\n\n![uploaded image](/media/?type=post&id=64327&key=user_uploads/1007350/c3c8fb28-46bf-4251-abc6-1f397e15bd0a)\n\n**The Solution**\n\nWeltio allows users to open a brokerage account in the US in less than 5 minutes with a smooth onboarding process.  Once the account is open, users can fund their accounts with a domestic wire (in our initial geography Mexico, wires are made in MXN).  The user then receives a deposit in USD in their account in less than 30 minutes!  From their account they can invest in stocks and ETFs and buy/sell cryptocurrencies (20+ available) - we have zero cost for trading and have a very competitive commissions structure for crypto.  Additionally, we believe it is our duty to enable our users to make the best investment decisions by providing essential information and education modules for them to make the best decisions.\n\n![uploaded image](/media/?type=post&id=64327&key=user_uploads/1007350/4b06e230-dfb5-401f-88d0-0913e7c64b0b)\n\n**Background on the Idea and Founders**\n\nWeltio started in fall 2021, but the desire to give access to high-quality financial services to people in Latin America started years before that.  David has spent most of his professional career as a consultant for McKinsey and Oliver Wyman, advising financial institutions in more than 15 countries in 4 continents, where he has seen, first-hand, the vast difference in financial products and services offered.  George spent several years as a consultant for McKinsey, also advising financial institutions.  After deciding to leave for tech, he joined Wayfair and Klarna in Berlin, where he developed expertise in product.  David and George met more than 10 years ago at McKinsey, where they worked together on several projects and have remained good friends since then. \n\n**Asks for the Community**\n\nDownload the platform and tell us your thoughts! Although the platform is for now only covering Mexico, feedback on the platform helps us build a world-class product, ping us directly and we can provide a test-user account.\n\nIf you or someone you know offers API based investing, or yield as a service please reach out! We’d love to connect and explore a potential partnership going forward. \n\n**Reach Out**\n\nFeel free to reach out to us on social media: Instagram (@weltioapp), Facebook (/weltioapp), twitter (@weltioapp), LinkedIn (Weltio) or at: [founders@weltio.com](mailto:founders@weltio.com)",
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        "founder_bio": "Dmitry Starodubtsev is a Top YC Founder @MightyBuildings (YC W18, $150M+ raised) and @NoCap/Intently (YC W23, with NoCap Mafia founders backing $1B+ of companies). Entrepreneur and angel investor in science, AI, and deep-tech. On the hunt for sustainable ways of unlocking higher productivity in critical industries. Can help with product development, R&D acceleration, and fundraising. Always open to connect—especially as I expand my network in AI while building my next big thing!",
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    "news": [
      {
        "title": "Intently raises $3M to launch AI-powered networking tool for startup founders | VentureBeat",
        "url": "https://venturebeat.com/ai/intently-raises-3m-to-launch-ai-powered-networking-tool-for-startup-founders/",
        "date": "May 22, 2024"
      }
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    "launches": [
      {
        "id": 70769,
        "title": "🚀 Intently - Identify the best sales targets using AI",
        "tagline": "We allow B2B companies to find ready-to-buy prospects way ahead of the competition.",
        "body": "Hey everyone! We’re Mika, Slava, and Dima from [Intently](https://www.getintently.ai/) 😃!\\\n\\\nThis is our second YC company. Our previous venture grew to 250 people and raised over $150M. While scaling Mighty Buildings, **we faced the challenges of the sales process** – for each successful interaction, countless poorly-timed outreach messages and **missed opportunities piled up** 📚.\\\n\\\n**The reason is simple** - your marketing and sales teams simply can't access and analyze the sheer volume of data available today. Fortunately, what’s challenging for humans is easy for AI.\\\n\\\n**How does Intently work?**\n\nThink of us as the **Google of people search 🔍**: tell us who you want to target, and we'll provide a ranked list of prospects based on their likelihood of buying.\n\n![uploaded image](/media/?type=post&id=70769&key=user_uploads/255469/489dfe95-3f3a-4d58-8f88-4d959256c8bc)\n\n\\\nIntently leverages AI to analyze a wealth of data - from social media presence to digital footprints, to pinpoint prospects with buying intent signals relevant to your offering. We complete each profile with valuable data to help you understand their specific needs and craft tailored proposals.\n\nAs a team that's been on both sides – bombarded with unwanted sales pitches and now promoting our solution to fellow YC community –  we've experienced firsthand how intent data helps us prospect smarter and close deals faster ⚡. And we're eager to help you achieve the same!\n\n**Our ask**\n\nIf you're in the B2B space and want to accelerate your growth with accurate intent data, [book](https://app.usemotion.com/meet/mika-melchanka/meeting?d=30) a demo with us to start using Intently, or reach out to [mika@getintently.ai](mailto:mika@getintently.ai) with any questions!",
        "url": "https://www.ycombinator.com/launches/IPR-intently-identify-the-best-sales-targets-using-ai",
        "votes": 66,
        "created_at": "2023-04-05T15:54:40.269Z"
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    "id": 27939,
    "name": "FactIQ",
    "slug": "factiq",
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    "website": "https://factiq.com/",
    "all_locations": "Singapore, Singapore",
    "long_description": "FactIQ gives AI agents access to clean and trustworthy data for investment research.\r\n\r\nWe source, clean and standardize data from company financials, market prices, economic series and satellite imagery. We make it absurdly obvious for any AI agent to accurately query this data. We currently have 100M+ data series covering US and Asia, and are adding new data every day. ",
    "one_liner": "Investment research data for AI agents",
    "team_size": 3,
    "industry": "Fintech",
    "subindustry": "Fintech -> Asset Management",
    "launched_at": 1672890387,
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      "Southeast Asia",
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      "name": "Brad Flora",
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        "user_id": 218578,
        "full_name": "Rishabh Srivastava",
        "title": "Founder",
        "founder_bio": "ML developer. Previously bootstrapped data APIs co to 100M+ monthly end users. I blog at rish.blog and am fairly active on Twitter (@rishdotblog)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rishsriv",
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      {
        "user_id": 1153841,
        "full_name": "Medha Basu",
        "title": "Founder",
        "founder_bio": "Co-Founder of Defog.ai. Former journalist/editor/content marketing person. Grew an enterprise content marketing firm from $0 to 7 figures in yearly revenue. Once interviewed a terrorist. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/medha-basu/",
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    "news": [
      {
        "title": "How enterprises are using open source LLMs: 16 examples | VentureBeat",
        "url": "https://venturebeat.com/ai/how-enterprises-are-using-open-source-llms-16-examples/",
        "date": "Jan 29, 2024"
      },
      {
        "title": "Tech in Asia - Connecting Asia's startup ecosystem",
        "url": "https://www.techinasia.com/exclusive-combinator-leads-22m-sgbased-ai-analytics-firm",
        "date": "Nov 22, 2023"
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    "launches": [
      {
        "id": 68202,
        "title": "Defog.ai - ChatGPT for data, embedded in your app",
        "tagline": "Embed insights widgets in your apps and let users ask questions in natural language.",
        "body": "Hey there! We’re [Medha](https://www.linkedin.com/in/medha-basu/) and [Rishabh](http://twitter.com/rishdotblog) from [Defog.ai](http://defog.ai/).\n\n### **TL;DR**\n\nDefog embeds in your app and lets your users query data in seconds, using everyday language. It’s like ChatGPT for data - right within your app. [**Sign up**](http://defog.ai/) **to get early access.** Or give it a try at [defog.ai/ask](http://defog.ai/ask).\n\n### **😤 The problem**\n\nInsights features within apps take a long time to build and get right.\n\nThis is because SaaS founders and product managers spend most of their time on improving their core product. Insights features are rarely top-of-mind, even though they increase user stickiness.\n\nMost teams tell themselves that they will eventually get to it. But they rarely do. The result is a hastily-built dashboard that provides limited insights to users.\n\n### 🎉 **Our solution**\n\nWe make it super easy to let your users ask questions in natural language and instantly get data and insights on your app.\n\n![uploaded image](/media/?type=post&id=68202&key=user_uploads/1153841/bd2e56ef-b1f8-4d38-b02a-1c851549def9)\n\nDefog embeds an intuitive Q&A-style interface for analytics in your app, and lets users query data in seconds.\n\nSome examples of how companies can use Defog:\n\n* Fintech companies could provide deep insights based on users’ transaction history.\n* Video meeting tools could extract common complaints across customer calls and make them easy to discover.\n* Social media platforms could replace generic analytics dashboards with more specific metrics.\n\n### **🪄 How it works**\n\n1. Give us the metadata of your database schema (if using SQL), or just unstructured data corpuses (if using APIs or text corpuses)\n2. Add our iframe or Javascript plugin to your app\n3. (optional) set up visual styling for how charts should look on our app\n4. Let your users ask questions of the data, and get insights in seconds\n\nWe’re powered by large language models that can search and visualise both structured data (like SQL databases or data warehouses) and unstructured data (like text in call transcripts).\n\nPS: We don’t compromise on privacy 🔐 Our model only needs access to your database schema to work, and not actual data about your customers.\n\n### **⚡ Our asks**\n\n* [Get early access](http://defog.ai/): Sign up to get early access if you’d like to embed Defog in your app\n* [Take it for a spin](http://defog.ai/csv): Ask Defog questions on your own datasets - or one of our pre-selected ones\n* [Share your feedback](https://defog.ai/contact/): If you have questions or feedback, we’d love to hear from you. Email us at founders\\[at\\]defog.ai or reach out to us on [Twitter](https://twitter.com/defogdata) or [LinkedIn](https://www.linkedin.com/company/defog-ai/).",
        "url": "https://www.ycombinator.com/launches/Hk2-defog-ai-chatgpt-for-data-embedded-in-your-app",
        "votes": 36,
        "created_at": "2023-01-05T06:17:24.307Z"
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    "id": 28116,
    "name": "Wallbit",
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    "website": "https://wallbit.io",
    "all_locations": "Buenos Aires, CABA, Argentina",
    "long_description": "Wallbit is a neobank for global remote workers, it offers them bank accounts in the US, a debit card, and an investment account to invest in bonds or stocks on the US stock market.",
    "one_liner": "Neobank for global remote workers",
    "team_size": 17,
    "industry": "Fintech",
    "subindustry": "Fintech -> Banking and Exchange",
    "launched_at": 1677044894,
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      "Investing",
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    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
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    "regions": [
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    "year_founded": 2022,
    "city": "Buenos Aires",
    "country": "AR",
    "linkedin_url": "https://linkedin.com/company/wallbit",
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        "full_name": "Rodrigo Vidal",
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        "full_name": "Braian Fritz",
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        "founder_bio": "Software Architect @ Wallbit",
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        "full_name": "Martin Gira",
        "title": "Founder",
        "founder_bio": "CTO @ Wallbit",
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      {
        "id": 84746,
        "title": "Wallbit: US banking for global remote workers",
        "tagline": "Meet Wallbit; US bank account, card and investments for non-US residents",
        "body": "**Wallbit: The All-in-One Neobank for Global Remote Workers**\n\nWe’re excited to introduce you to the new version of Wallbit: your US banking app from anywhere in the world—without ever stepping foot in the US.\n\n### **FOR INDIVIDUALS:**\n\n* **US Checking Account**: Open a fully functional US checking account 100% remotely. No need for costly travel or lengthy paperwork.\n* **US Debit Card**: Spend globally with a US debit card linked directly to your Wallbit checking account.\n* **Investment Accounts**: Access US stocks and ETFs with ease, giving users the ability to invest and grow their wealth.\n* **Cash Management**: Earn competitive yield on your cash with low-risk options designed for stability and growth.\n* **Instant Withdrawals to Latin America**: Send money back home in seconds, saving up to 5% and many days compared to traditional remittance methods.\n\n![uploaded image](/media/?type=post&id=84746&key=user_uploads/1021346/47f1952f-aabe-4657-bf81-1e36a3022634)\n\n### **For Businesses:**\n\nOur new **Business Portal** allows companies to easily pay to all their contractors without incurring in swift bank transfers or paying high fees to other intermediaries. With no cost, businesses can now \"bankarize\" all their contractors, open US bank accounts to all of them and manage their payroll seamlessly in Wallbit or their own business banking (aka Mercury, Brex, etc.)\n\n### **🥳 Do you like it?**\n\nSign up now and let us know what you think! If your company is interested in using our business portal, or if you’d like to just chat and learn more, you can reach out to us at [founders@wallbit.io](mailto:founders@wallbit.io)\n\n![uploaded image](/media/?type=post&id=84746&key=user_uploads/1021346/2e7f1aff-2d18-4c75-b6e3-4794e53d06e3)\n\n",
        "url": "https://www.ycombinator.com/launches/M2s-wallbit-us-banking-for-global-remote-workers",
        "votes": 6,
        "created_at": "2024-10-14T22:34:11.128Z"
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      {
        "id": 69714,
        "title": "Wallbit: Neobank in the US for global remote workers",
        "tagline": "Meet Wallbit, a Neobank for non-US residents that also supports crypto and local currency withdrawals",
        "body": "**TL;DR:** Wallbit is a Neobank for global remote workers. We give non-US residents a bank account in the US where they can receive their income, and withdraw in crypto and local currencies around the world.\n\nHey everyone 👋, we are happy to introduce Wallbit!\n\n![uploaded image](/media/?type=post&id=69714&key=user_uploads/1021346/74112f3e-dbd6-4d80-b025-6b4e6c217aac)\n\n**🙃 The Problem:**\n\nAs an international worker, you have to figure out ways to receive payments and withdraw money locally. Some banks in Latin America don’t even support US dollars, and the **US financial products are not so accessible if you don’t live there!**\n\n**🌎 The Solution:**\n\n**⚡ One-Stop Neobank for all the needs of remote workers ⚡**\n\nWallbit not only helps you receive payments, but also helps you get immediate liquidity. **Imagine receiving an ACH/Wire bank transfer from your client/employer in your Wallbit account, and then having those funds available in your bank account in your country in just 5 minutes…** sounds good, right? That’s exactly what we do.\n\nNow, take a look to the rest of our features:\n\n1. Receive ACH/Wire and Swift bank transfers ✅\n2. Receive payments from payroll platforms like Deel, OnTop ✅\n3. Convert and withdraw in crypto or local currencies ✅\n4. Get access to a virtual US debit card ✅\n5. Invest in the stock market and US treasuries ✅\n\nYep, all that, and it’s live already, no waitlists! Sign up in [app.wallbit.io](http://app.wallbit.io) and get access to your US bank account for free.\n\n### **💪 Why us?**\n\nWe are a team of software engineers from Argentina who have faced this problem for years while working remotely for US companies. We’re combining all that understanding of the problem with our tech expertise to fill the banking gap between the US and the rest of the world.\n\n![uploaded image](/media/?type=post&id=69714&key=user_uploads/1021346/e30bd5b8-34df-4c62-b7ee-b0b0d0bb87c9)\n\n### **🥳 Do you like it?**\n\nSign up now and let us know what you think! You can reach out to us at [founders@wallbit.io](mailto:founders@wallbit.io)",
        "url": "https://www.ycombinator.com/launches/I8Q-wallbit-neobank-in-the-us-for-global-remote-workers",
        "votes": 188,
        "created_at": "2023-02-27T18:14:46.462Z"
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    "name": "Metal",
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    "all_locations": "New York City, NY, USA",
    "long_description": "Firm proprietary data is only as sharp as the context around it. Metal is the context platform for private capital.\r\n\r\nIt structures everything a firm has touched, every deal, company, and figure, along with every decision the deal team has made, into one context graph. So the AI tools your deal teams already rely on, like Claude, ChatGPT, and Copilot, can reason with the firm's own knowledge. Every deal feeds back into the graph, so the firm's edge compounds: each decision sharpens the one that follows.\r\n\r\nMetal is purpose-built for private equity and private credit. We turn what a firm knows into how it wins.",
    "one_liner": "The AI context platform for private capital. Everything your firm…",
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    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
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    "url": "https://www.ycombinator.com/companies/metal",
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    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getmetal/about/",
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    "cb_url": "https://www.crunchbase.com/organization/metal-6dfc",
    "github_url": "https://github.com/getmetal/",
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        "full_name": "Taylor Lowe",
        "title": "Founder",
        "founder_bio": "CEO of Metal. Product manager who started in sales. DC native. Big fan of New York so now I live there.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/taylorlowe11/",
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        "full_name": "James O'Dwyer",
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        "title": "Forward Deployed Engineer - Strategic Account",
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        "location": "New York City",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $240K",
        "equity_range": "0.10% - 0.25%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Metal Raises $5M from Base10 Partners to Transform Private Market Investing with AI",
        "url": "https://www.metal.ai/blog/seed-fundraise-announcement",
        "date": "Sep 11, 2025"
      },
      {
        "title": "In the AI arms race, Metal aims for enterprise dominance with $2.5 million war chest | VentureBeat",
        "url": "https://venturebeat.com/ai/in-the-ai-arms-race-metal-aims-for-enterprise-dominance-with-2-5-million-war-chest/",
        "date": "Jun 22, 2023"
      }
    ],
    "launches": [
      {
        "id": 77440,
        "title": "Metal - Your deal team assistant 🤘",
        "tagline": "AI Accelerated Deal Flow and Portfolio Intelligence",
        "body": "⚡**TLDR**\n\n* [Metal](https://www.getmetal.io/) is relaunching as a SaaS application for financial services and funds, with a focus on buy-side deal teams and portfolio monitoring for fund managers 🤘\n* We make deal teams 10x faster by parsing data and assisting in diligence across relevant file types - transcripts, 10-Ks/Qs, financial statements, board decks, CIMs, and more\n* Portfolio data is structured and made queryable for fund managers to better understand their investments – from running instant comps to extracting quotes from a board meeting\n* We’re rolling out Metal on a fund by fund basis – if this sounds like you, please get in touch! [founders@getmetal.io](mailto:founders@getmetal.io) or [submit your contact info here](https://www.getmetal.io/contact) 🎸\n\n**👎The problem**\n\nDeal teams are overloaded with data, yet deals remain highly competitive and are lost with an inefficient diligence process. In early diligence alone, analysts spend days reading through expert call transcripts, 10-Ks, or financial statements just to get a basic understanding of a company. This is a highly manual process – and funds are paying analysts $200k/year and up to do it. \n\nOn top of this, fund managers lack insights into their portfolio company’s historic performance, areas of focus, and if they’re deviating from plan. Tracking this data down internally is often infeasible, so managers are left in the dark and their investments are put at risk.\n\n**👍Our solution**\n\nMetal accelerates fund workflows by integrating them with the advanced capabilities of LLMs. Here’s how:\n\n**1\\. Purpose built ingestion pipelines for financial documents.** Funds can upload documents and specify the values they want extracted from datasets. Metal does the heavy lifting from there.\n\n![uploaded image](/media/?type=post&id=77440&key=user_uploads/1212950/591aea10-3d61-4c10-be1f-4b47ea9f7930)\n\n**2\\. Diligence workflows rebuilt with generative AI.** Metal extracts relevant quotes, cites sources, browses the web and more when generating responses.\n\n![uploaded image](/media/?type=post&id=77440&key=user_uploads/1212950/71312968-12bc-4380-8b3e-4c37d8aadc8d)\n\n**3\\. Fully searchable portfolios.** We structure and make all fund data queryable – from memos to board decks to financials. Spot patterns across collections of data and query for deeper insights.\n\n![uploaded image](/media/?type=post&id=77440&key=user_uploads/1212950/29e0a3b7-250f-4071-9aad-30c7f54d7e83)\n\n**🙏 Asks**\n\nToday’s launch is an exciting first step, but we’ve got a lot planned for the next 6 months!\n\nWe are rolling out Metal on a per fund basis so we can dedicate more of our resources to each implementation – we’ll work side by side with your team to ensure success.\n\n**If you’re on a PE or VC deal team, or managing a fund** – here’s how you can reach us: [founders@getmetal.io](mailto:founders@getmetal.io) or [submit your info here](https://www.getmetal.io/contact)!\n\n🤘Taylor + James + Sergio🤘",
        "url": "https://www.ycombinator.com/launches/K92-metal-your-deal-team-assistant",
        "votes": 17,
        "created_at": "2024-01-11T18:57:23.238Z"
      },
      {
        "id": 71084,
        "title": "Motörhead - LLM memory server built in Rust",
        "tagline": "Motörhead is an open-source memory and information retrieval server for LLMs.",
        "body": "## Overview\n\n[Motörhead](https://github.com/getmetal/motorhead) is an open-source memory and information retrieval server for LLMs. Built and supported by [Metal](https://getmetal.io/).\n\nAs LLM usage becomes more widely adopted, modern software products must handle users' LLM interactions, chat sessions, and retrieval for relevant prompting context at scale. With much of the performance cost being on the prompting to APIs like OpenAI and other LLMs, contextual data retrieval is ideally as fast as possible.\n\n## Features\n\n* 🪄 Modern strategies to stay within the prompt window\n* 💬 Chat session management out of the box\n* 🦜 [Langchain integration](https://python.langchain.com/en/latest/modules/memory/examples/motorhead_memory.html)\n* 🧠 Automatic Embedding generation via OpenAI ADA\n* 🕸️ Redis Vector DB forto utilize RedisSearch (semantic)\n* 💽 Short-term & long-term storage\n* 🔥 Built in Rust for performance\n\n## Roadmap\n\n* User Authentication\n* Knowledge Graph Memory handling\n* Additional support for other Embedding Models\n* [Create an issue!](https://github.com/getmetal/motorhead/issues)\n\n## Resources\n\n* Check out [Motörhead on Github](https://github.com/getmetal/motorhead)\n* Join the [Motörhead Discord](https://discord.gg/sxbFX5dsQY)\n* Suggest a [feature for Motörhead](https://github.com/getmetal/motorhead/issues)",
        "url": "https://www.ycombinator.com/launches/IUW-mot-rhead-llm-memory-server-built-in-rust",
        "votes": 19,
        "created_at": "2023-04-20T14:09:32.416Z"
      },
      {
        "id": 69701,
        "title": "Metal: Helping developers easily implement machine learning embeddings",
        "tagline": "Embeddings as a service 🤘",
        "body": "tl;dr\n\n_Metal makes it easy for developers to implement machine learning embeddings. With embeddings, we help businesses create value from unstructured data like images, text documents, videos and more._\n\nHey everyone! We’re Taylor, James, and Sergio and we’re building [Metal.](https://www.getmetal.io/?utm_campaign=pre-launch&utm_medium=newsletter&utm_source=YC)\n\n![](https://lh4.googleusercontent.com/BAmRW6DjuFBKZwKTqlBZ3usUOyMeRtO_c34yip0WO65CQX-VCS3IeNXKPOE57AdV-HApI_CC0QjqVgurwEDxHJSDo9BxV5Pve7VXz20yulLPBNYbSKHQXqSxhLowmbYOUlQ7c3sln6lJ4eRTuVMRmL0)\n\n**What’s the problem?**\n\nEmbeddings are super powerful but they’re too hard to use. We learned this the hard way while building machine learning products at companies like Spotify and Meta. Getting to production for simple features (or so we thought) was incredibly painful.\n\nThe team would put weeks into offline training only for the data to be stale in production. It was difficult to iterate on models without versioning. Fine-tuning was highly inefficient. When we finally did get a model deployed there were immediate scaling concerns. It once took us 6 frustrating months to ship a simple embedding classification feature 🤦\n\nCompanies shouldn’t need to reinvent the wheel to use embeddings.\n\n**What’s the solution?**\n\nMetal gives you all the tools you need to quickly and easily implement embeddings against your data in production. \n\n* We integrate with your data sources\n* We generate and store your embeddings\n* We provide real time indexing and search APIs\n* We provide versioning\n* And we make it easier to fine tune embeddings via Metal’s API or SDKs\n\nYou can get started in as little as five minutes.\n\n![](https://lh5.googleusercontent.com/izlgcDfSdm-FgMwj8Cns-nsnN2GmkAuUtdsSCQKuLawBY0fcv3KZjgkjiwxa7yiOpbPOnNZs_uN9ERNmCS8ZVVP3IC-NY-qHBe1cuipof9D7JKskIn6FvN-BSuYULjJGJPb6xYyi3e47OUDZ2qm9c4U)\n\n![](https://lh4.googleusercontent.com/nOmwv8oD-qYgxa_m6enimIFMTirXP1olznsJv1UrojbT2lf69WdR0vxc2xLkX8TceIfAusPKPFopsM2vjXcGXIJMDMHQz9lgJhmxPr2qcOI3uS5_b7LI44k1HvaYeFSF2uGvHp1fpgMzuqVsU31sNaA)\n\n**Ok so it’s easy to use, but what about some real world use cases?**\n\n* Better personalization for your users through behavioral clustering\n* Search and compare similarities between data types, such as images or videos\n* Understand how your customers feel by classifying their free text reviews\n* Make the most of internal resources by supporting semantic search of text documents, PDFs, call notes and more\n\n**Our ask:**\n\n1. [**Sign up for early access**](https://www.getmetal.io/?utm_campaign=pre-launch&utm_medium=newsletter&utm_source=YC) and we will get in touch! [You can also book a time here to learn more](https://calendly.com/metal-taylor/metal-30-minutes-landing?utm_campaign=pre-launch&utm_medium=newsletter&utm_source=YC).\n2. **Introduce us to companies** who could use Metal. We mostly work with small to medium size companies (10-200 people) who have raised a series A. These companies have an embeddings use case but don’t want to spend the time/resources to build it from scratch.\n3. **Help us build the future** :) If you’re experienced with embeddings and want them to be simpler, then we’d love to hear from you. Please get in touch: [founders@getmetal.io](mailto:founders@getmetal.io)\n\nYou can also follow us on [Twitter](https://x.com/metal__ai) or [Linkedin](https://www.linkedin.com/company/getmetal?utm_campaign=pre-launch&utm_medium=newsletter&utm_source=YC) :) 🤘\n\nThank you!",
        "url": "https://www.ycombinator.com/launches/I8D-metal-helping-developers-easily-implement-machine-learning-embeddings",
        "votes": 179,
        "created_at": "2023-02-27T14:57:53.771Z"
      }
    ]
  },
  {
    "id": 28421,
    "name": "Metal",
    "slug": "metal-2",
    "former_names": [
      "Pluto Technologies",
      "Apollo Group"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d405f124083ad95be24745d98de294a71b7cf71c.png",
    "website": "http://www.metal.so",
    "all_locations": "Lahore, Punjab, Pakistan",
    "long_description": "Backed by a16z and YC, Metal is building an AI-native operating system for founders raising venture rounds. Metal brings proprietary intelligence on the venture ecosystem, enabling founders to identify the \"most likely\" investors, research various firms, and identify who they know that can introduce them to specific investors.\r\n\r\nMore than 100 YC founders have signed as paying customers.",
    "one_liner": "Metal is an AI-driven operating system for fundraising",
    "team_size": 21,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1675845716,
    "tags": [
      "B2B",
      "Investing",
      "Enterprise Software",
      "Investments",
      "Fundraising"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "Pakistan",
      "South Asia"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/metal-2",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/metal-2.json",
    "year_founded": 2024,
    "city": "Lahore",
    "country": "PK",
    "linkedin_url": "https://www.linkedin.com/company/raisewithmetal/?viewAsMember=true",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/metal-515f",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d405f124083ad95be24745d98de294a71b7cf71c.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1251288,
        "full_name": "Usman Gul",
        "title": "Founder",
        "founder_bio": "Building super intelligence for fundraising. Prior to Metal, I raised $120m for my first startup across six venture rounds. And before that, I was a part of the early team at DoorDash and Marqeta.\n\nI can be reached at gul@metal.so.",
        "is_active": true,
        "linkedin_url": "https://pk.linkedin.com/in/gulsf",
        "x_url": "https://twitter.com/usmangul",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e40b4dedeb2162c43f00d729ce00017cfa77a70.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": []
  },
  {
    "id": 29154,
    "name": "Catamaran",
    "slug": "catamaran",
    "former_names": [
      "Ultravity",
      "CatX"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0af944f6ad96c6f8c2095e8c485de560a528833.png",
    "website": "https://www.trycatamaran.com",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Catamaran uses AI to help people make clearer, faster decisions about risk. Our platform brings all internal and external risk data into one easy-to-understand workspace. By automating data gathering, checking, and scenario testing, we help insurers, reinsurers, brokers, and investors quickly understand and manage their risks. Catamaran also provides a regulated marketplace to easily buy, sell, and manage insurance coverage.",
    "one_liner": "The AI-powered risk decision platform ",
    "team_size": 5,
    "industry": "Fintech",
    "subindustry": "Fintech -> Insurance",
    "launched_at": 1687023200,
    "tags": [
      "Machine Learning",
      "Finance",
      "Analytics",
      "Insurance",
      "Investing"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Acquired",
    "industries": [
      "Fintech",
      "Insurance"
    ],
    "regions": [
      "United Kingdom",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/catamaran",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/catamaran.json",
    "year_founded": 2023,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/catamaranrisk/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0af944f6ad96c6f8c2095e8c485de560a528833.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": 635059,
        "full_name": "Benedict Altier",
        "title": "Founder",
        "founder_bio": "Benedict has advised more than 10 leading insurers and asset managers working across insurance, reinsurance, and risk modeling. He is also a front-end developer with a decade's worth of experience designing and building web applications. He graduated with a 1st class degree in Chinese Studies from the University of Oxford. As a visiting student at Peking University, he advised leading Chinese technology companies including a spin-out from Baidu. ",
        "is_active": true,
        "linkedin_url": "https://uk.linkedin.com/in/benedict-altier-0041748b",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1dab89abad066a8fdb09e97fb62b1a097a4d29d6.jpg"
      },
      {
        "user_id": 1360323,
        "full_name": "Lucas Schneider",
        "title": "Founder/CTO",
        "founder_bio": "Building CatX to revolutionize risk transfer for insurers. Bringing my expertise in financial markets and investing to the insurance world. \n\nStarted my career in Credit Securitisation at Barclays in London where I structured and executed multiple transactions in excess of $10bn+ in value. Oxford PhD Candidate in Machine Learning for Gene Editing. Previously, leading the research team at a web3 hedge fund, focusing on infrastructure and decentralized finance investments.\n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lucas-sch",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/358ede5a7b0831d4ff15db816976f97505db9b0f.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "CatX Raises US$2.7 Million to Bring More Alternative Capital into the Insurance Sector | Insurtech Insights",
        "url": "https://www.insurtechinsights.com/catx-raises-us2-7-million-to-bring-more-alternative-capital-into-the-insurance-sector/",
        "date": "Nov 24, 2023"
      },
      {
        "title": "Our favorite startups from YC's Summer 2023 Demo Day, Day 1 | TechCrunch",
        "url": "https://techcrunch.com/2023/09/06/ycombinator-demo-day-one-summer-2023/",
        "date": "Sep 06, 2023"
      },
      {
        "title": "Risk exchange start-up CatX accepted into Y Combinator accelerator - Artemis.bm",
        "url": "https://www.artemis.bm/news/risk-exchange-start-up-catx-accepted-into-y-combinator-accelerator/",
        "date": "Jun 23, 2023"
      }
    ],
    "launches": [
      {
        "id": 88573,
        "title": "Catamaran: Intelligent Catastrophe Risk Analysis and Underwriting 🌊",
        "tagline": "The smartest way to analyze natural catastrophe risks for any property, location, or business.",
        "body": "Hey YC! We’re the CatX team, and we are excited to announce the launch of [Catamaran 2.0](https://trycatamaran.com/)—the smartest way to analyze natural catastrophe risks for any property, location, or business.\n\n🔍 **Problem**\n\nOrganizations today struggle with outdated, slow, and expensive processes for assessing natural catastrophe risks. Traditional tools lack comprehensive insights, require significant manual effort, and leave critical gaps in understanding how disasters like wildfires, hurricanes, earthquakes, and severe weather could impact their assets and portfolios.\n\n💡 **Our Solution**\n\nCatamaran makes catastrophe risk analysis effortless and powerful. Just upload your property details or any relevant documents, and Catamaran instantly generates comprehensive risk insights using extensive historical data across all major catastrophe perils—including wildfires, hurricanes, earthquakes, typhoons, weather, hail and more.\n\n<https://youtu.be/s4mTqmcFsWY>\n\nPowered by advanced AI agents, Catamaran quickly identifies errors, provides clarity from complex datasets, and delivers insights previously only available through costly, manual underwriting.\n\nWe spent the past two years helping institutional investors understand, model, and invest in catastrophic risk. Frustrated by outdated workflows in underwriting and risk assessment amidst modernizing processes everywhere else, we built Catamaran as our solution.\n\n⚡ **What Catamaran Can Do:**\n\n* 📚 **Historical Risk Analysis:** Evaluate location-specific risk profiles based on hundreds of years of historical data.\n* 🛡️ **Optimal Insurance Protection:** Automatically identify the best insurance structures—parametric or traditional—tailored to your unique risk exposure.\n* 📄 **Advanced Document Extraction:** Effortlessly process complex, unstructured documents to rapidly extract key insights.\n* 📈 **Calculate Loss & Scenario Analysis:** Instantly conduct sophisticated scenario analyses to quantify potential losses for proactive risk management.\n\n![uploaded image](/media/?type=post&id=88573&key=user_uploads/635059/e8343eea-4ad1-4a95-8674-d2a4e1d2bfb8)\n\n⚙️ **Use Cases**\n\n* 🏦 **Insurers:** Accelerate underwriting, cut costs by up to 90%, and precisely manage portfolio risks.\n* 📊 **Brokers:** Transform your quoting process with faster, more accurate risk assessments.\n* 🏢 **Businesses & Investors:** Confidently evaluate and manage catastrophe risk exposure across investments, portfolios, and operations.\n* ⚖️ **Regulators:** Enhance regulatory oversight and compliance with transparent, data-driven risk analytics.\n* 🛠️ **Developers:** Easily integrate catastrophe risk analytics into your apps using our developer-friendly API\n\n![uploaded image](/media/?type=post&id=88573&key=user_uploads/635059/de65f188-e565-4c35-99e7-4a149dfc73fb)\n\n👥 **The Team**\n\nCatamaran is built by the CatX technology team led by:\n\n**Benedict Altier**, insurance consultant with experience modeling programs for leading insurers like AXA, Beazley, and MS Amlin, ex-Oxford.\n\n**Lucas Schneider**, Oxford PhD candidate in Machine Learning, ex-Barclays Investment Banker, ex-McKinsey.\n\n**Jon Wood**, formerly on the retro leadership team at top insurance broker AON and previously at Guy Carpenter (Marsh) and Willis.\n\n**Matthew Salamon**, experienced software developer formerly at AON, PwC and Balancer.\n\n🙏 **Our Ask**\n\nIf you manage or insure properties at risk, we'd love to show you how Catamaran can streamline your process and enhance your decision-making:\n\n\\- Email us directly: [catamaran@catxglobal.com](mailto:benedict@catx.re)\n\n\\- Schedule a quick demo here: \\[[trycatamaran.com](http://trycatamaran.com)\\](<https://www.trycatamaran.com>)\n\nCatamaran: The future of intelligent catastrophe risk analysis.\n\n– Benedict, Lucas & the CatX Team\n\n![uploaded image](/media/?type=post&id=88573&key=user_uploads/635059/5ec96af3-9467-4beb-9127-d6aa336ed3af)\n\n![uploaded image](/media/?type=post&id=88573&key=user_uploads/635059/a70b0e67-95fe-4e9a-aaf4-c5f74b643729)\n\n",
        "url": "https://www.ycombinator.com/launches/N2b-catamaran-intelligent-catastrophe-risk-analysis-and-underwriting",
        "votes": 45,
        "created_at": "2025-03-13T17:17:13.085Z"
      },
      {
        "id": 72510,
        "title": "CatX - the digital marketplace for insurance risk",
        "tagline": "We are the best way for insurance companies to offload risk and for asset managers to invest in an attractive, uncorrelated asset class. ",
        "body": "CatX is a digital marketplace connecting insurance carriers with institutional investors to trade and transfer insurance risk efficiently. We help to make insurance risk models understandable and accessible for asset managers so they can unlock new sources of return. In addition, we streamline and digitalize the entire risk transfer process, so insurers can get faster, cheaper access to capital from our partner funds.\n\n**❌ The Problems:**\n\n1. **Rising hedging and funding costs for insurers,** US property rates are up 265% over a six-year period\n2. **Highly inefficient risk transfer markets,** with average cost ratios of 40% remaining largely unchanged despite recent technological advancements\n3. **Slow and expensive set-up and structuring processes** when issuing new insurance-linked products, involving multiple parties\n4. **Little secondary market liquidity for insurance-linked securities** due to their complex economics and limited availability of risk models\n5. **Poor analytics or data-drive insights** for understanding novel areas of risks\n\n**💡Our Solution**\n\nCatX addresses these challenges by simplifying the market and providing access to world’s most advanced modeling technologies directly within our platform. In addition, we streamline the origination process, including legal setup and pricing, and offer an electronic secondary trading venue coupled with sophisticated analytics.\n\nCatX helps:\n\n* **Insurers** to access capital at **better rates** through direct capital markets access,\n* **Investors** to unlock new investment opportunities in an uncorrelated asset class,\n* **Protection buyers** find more efficient structures to offload risks, reducing the protection gap for novel and emerging risks.\n\n  ![uploaded image](/media/?type=post&id=72510&key=user_uploads/1360323/ca917659-8d2c-4371-a236-a1fc95a58903)\n\n\n**🙏Our Ask**\n\nConnect us with\n\n* **Investors** interested in accessing new sources of uncorrelated returns,\n* **(Re)insurers** looking for access to more flexible capital at better rates,\n* **Businesses** looking to more efficiently transfer risks (property, weather, energy, cyber)\n* **Risk model providers** seeking new distribution opportunities.\n\n**✉️ Contact**\n\nIf you have any questions or suggestions, feel free to reach out to [Ben](https://www.linkedin.com/in/benedict-altier-0041748b/) or [Lucas](https://www.linkedin.com/in/lucas-sch/) directly or email [founders@catxglobal.com](mailto:founders@catxglobal.com).",
        "url": "https://www.ycombinator.com/launches/IrW-catx-the-digital-marketplace-for-insurance-risk",
        "votes": 23,
        "created_at": "2023-06-24T19:31:35.892Z"
      }
    ]
  },
  {
    "id": 29181,
    "name": "Event Horizon Labs",
    "slug": "event-horizon-labs",
    "former_names": [
      "EmergentAGI",
      "SciPhi"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/952b6381b227fe13913d082e7f9bdec4731e8adb.png",
    "website": "https://www.ehl.markets/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We are scaling autonomous research, Markets are our verification loop: agents turn hypotheses into strategies, test them, and compound what survives. \r\n",
    "one_liner": "AI research lab automating all of investing",
    "team_size": 10,
    "industry": "Fintech",
    "subindustry": "Fintech -> Asset Management",
    "launched_at": 1710132587,
    "tags": [
      "Finance",
      "Investing",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "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/event-horizon-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/event-horizon-labs.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/952b6381b227fe13913d082e7f9bdec4731e8adb.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [],
    "jobs": [
      {
        "id": 89199,
        "title": "Founding Research Engineer",
        "url": "https://www.ycombinator.com/companies/event-horizon-labs/jobs/WTS8qWs-founding-research-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $200K",
        "equity_range": "1.00% - 3.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "Machine Learning"
        ]
      },
      {
        "id": 90937,
        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/event-horizon-labs/jobs/xGQicps-founding-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $200K",
        "equity_range": "1.00% - 3.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Kubernetes",
          "Python"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 88711,
        "title": "R2R: Open-Source Agentic Retrieval System with Deep Research API",
        "tagline": "Enterprise-grade Deep Research API for Your Data plus the Web",
        "body": "### TL;DR\n\n**R2R** is an open-source system that extends beyond conventional RAG by adding autonomous research capabilities across your documents and the web. After processing large document collections in production environments, we developed the Deep Research API to help applications better connect and synthesize information from multiple sources. R2R is available as both a cloud service and self-hostable solution.\n\n**Cloud App Signup:** [app.sciphi.ai](http://app.sciphi.ai) (generous free tier, no credit card required)\\\n**GitHub:** [R2R](https://github.com/SciPhi-AI/R2R)\n\n### Demo\n\n![uploaded image](/media/?type=post&id=88711&key=user_uploads/372342/15328b62-f902-4d58-b559-8360b3468618)\n\n### The Problem\n\nTraditional RAG systems have fundamental limitations:\n\n* They match queries to documents but lack multi-step reasoning\n* Complex questions require manual investigation across multiple sources\n* Information synthesis remains a largely human task\n* Citation tracking and verification are often missing\n* The reasoning process remains opaque\n\nThese limitations create inefficiencies when dealing with complex information needs.\n\n---\n\n### Our Solution\n\nThe Deep Research API provides:\n\n* Multi-step reasoning across documents and web sources\n* Knowledge graph generation to establish connections between information\n* Chained research workflows for exploring complex topics\n* Citation-backed answers with source attribution\n* Real-time visibility into the agent's thinking process\n* RESTful endpoints for straightforward integration\n\n---\n\n![uploaded image](/media/?type=post&id=88711&key=user_uploads/372342/9d86d7c9-d1df-4d47-a3ad-b126b12c3941)\n\n---\n\n# **Key Features**\n\n**Research Capabilities**\n\n* Research Agent: Advanced reasoning with computational tools\n* Extended Thinking: Configurable reasoning depth with model support\n* Citation Tracking: Source attribution for verification\n\n**Platform Components**\n\n* Multimodal Ingestion: Support for .txt, .pdf, .json, .png, .mp3, and more\n* Hybrid Search: Semantic and keyword search with reciprocal rank fusion\n* Knowledge Graphs: Entity and relationship extraction\n* User/Document Management: Authentication and collection organization\n\n### Why Now?\n\nLLMs are evolving toward better reasoning, but simply uploading all data to models is costly and error-prone. Agentic RAG solves the \"when/what to retrieve\" challenge, ensuring LLMs access the right information, especially for enterprise applications with diverse data. Teams need less DevOps and faster market entry without debugging embeddings or managing infrastructure.\n\n---\n\n### Our Ask\n\nAre you building advanced AI solutions that demand deeper reasoning over your own data? Tired of kludging multiple services together?\n\n* **Sign up** at [app.sciphi.ai](http://app.sciphi.ai) (free tier included).\n* **Dive into repo** on [Github](https://github.com/SciPhi-AI/R2R)\n* **Book an exploratory call** [here](https://calendly.com/owen-uzg/sciphi-demo)\n\n---\n\n### About Us\n\nWe’re a team of AI veterans who contributed heavily to the open-source R2R project. Seeing how complicated “truly agentic” retrieval can be, we launched **SciPhi Cloud**—so you can enjoy advanced retrieval and multi-step reasoning at scale without the infrastructure burden.",
        "url": "https://www.ycombinator.com/launches/N4p-r2r-open-source-agentic-retrieval-system-with-deep-research-api",
        "votes": 18,
        "created_at": "2025-03-17T18:17:03.540Z"
      },
      {
        "id": 79568,
        "title": "SciPhi - Build, deploy, and optimize AI retrieval",
        "tagline": "An open source platform that enables developers to build the best RAG system.",
        "body": "**TL;DR**: [SciPhi](https://www.sciphi.ai/) is a **cloud platform** that simplifies the deployment and optimization of production-ready Retrieval-Augmented Generation (**RAG**) pipelines for developers. Built on top of the robust **open source** **R2R** framework, SciPhi enables builders to focus on creating innovative applications rather than managing infrastructure.\n\n[**SciPhi Cloud Demo**](https://www.youtube.com/watch?v=ANWAGCzGQUU&ab_channel=redfauna101)\n\n**The Problem**\n\nRAG is fundamentally a search problem, and search at scale is hard. While deploying a basic RAG pipeline is relatively straightforward, scaling it to meet the diverse needs of a growing user base and/or dataset presents significant challenges. As indexed data grows, query times can slow down, leading to a diminished user experience. Further, different users will have varying complaints about system performance, depending on their specific use case and data set.\n\n**📦 SciPhi's Solution**\n\n* Seamless deployment of RAG pipelines to the cloud in just a few clicks\n* Customizable configurations via an intuitive config.json file to specify vector DB, embedding settings, LLMs, etc.\n* Secure secret management to encrypt and store API keys and other sensitive info\n* Automatic scaling to handle increased traffic and data volumes as your app grows\n* Built-in monitoring, logging, and A/B testing to gain insights and optimize performance ￼\n\n![uploaded image](/media/?type=post&id=79568&key=user_uploads/372342/4fa047ca-3982-4c2d-b0f9-f1ea5d48c348)\n\n![uploaded image](/media/?type=post&id=79568&key=user_uploads/372342/0f4b026d-ba30-4526-ba9d-5d3019a76df2)\n\n![uploaded image](/media/?type=post&id=79568&key=user_uploads/372342/3208055b-d3f6-43b8-b8dc-394621376af4)\n\n![uploaded image](/media/?type=post&id=79568&key=user_uploads/372342/2f7fc1cf-3fb1-4909-a61c-e6e8814946a5)\n\n**Meet the Founder**\n\nSciPhi was founded by [Owen](https://www.linkedin.com/in/owencolegrove/) (CEO), who brings a unique perspective to the world of RAG. With a PhD in particle physics and experience creating quantitative research strategies at Citadel, Owen understands the challenges of working with large-scale data systems. As a second-time founder, he grew frustrated by the lack of tooling available to optimize RAG pipelines while building an open-source semantic search engine+agent. This experience started him on the path to creating SciPhi.\n\n**Our Ask**\n\n* 🚀 Sign up for early access at [app.sciphi.ai/login](https://app.sciphi.ai/login)\n* 💬 Join our [Discord](https://discord.gg/p6KqD2kjtB) community to connect with other RAG enthusiasts\n* [⭐](https://emojipedia.org/star) Check out the [R2R Github repository](https://github.com/SciPhi-AI/R2R/tree/main) and leave us a star\n* 🙌 Share this post with developers and teams looking to harness RAG in production\n\nWe're on a mission to empower developers to build state-of-the-art RAG pipelines. If that resonates, come build the future with us! Reach out to [founders@sciphi.ai](mailto:founders@sciphi.ai) to chat.",
        "url": "https://www.ycombinator.com/launches/KhM-sciphi-build-deploy-and-optimize-ai-retrieval",
        "votes": 89,
        "created_at": "2024-03-21T14:18:21.767Z"
      }
    ]
  },
  {
    "id": 29343,
    "name": "Infinity",
    "slug": "infinity",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d4375431e4067cbd0c409f02ba66c5924b3c146.png",
    "website": "https://www.infinityapp.in/",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Infinity is a banking and payments platform for cross-border businesses in India. We help our customers make cross-border payments that are 70% cheaper than traditional methods and earn income on idle cash by investing in government securities.",
    "one_liner": "Business banking for cross-border SMBs & Startups",
    "team_size": 15,
    "industry": "Fintech",
    "subindustry": "Fintech -> Payments",
    "launched_at": 1706317593,
    "tags": [
      "Fintech",
      "Payments",
      "B2B",
      "Investing",
      "International"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "Fintech",
      "Payments"
    ],
    "regions": [
      "India",
      "South Asia"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/infinity",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/infinity.json",
    "year_founded": 2023,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/infinityinvest/",
    "x_url": "https://x.com/Infinityapp_in",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d4375431e4067cbd0c409f02ba66c5924b3c146.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": 1347097,
        "full_name": "Sourav Choraria",
        "title": "Founder/CEO",
        "founder_bio": "Sourav is the founder & CEO of Infinity, a business banking platform for cross-border SMBs. Prior to Infinity, Sourav co-founded ClinMD(2016), healthcare data analytics company. Sourav was former head of growth at Paytm Money, India's largest wealth management platform and scaled it to 20 million MAU. He also launched India's first FD-backed secured credit card and scaled it to 100,000 users in 1 year.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sourav-choraria-9b389776",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/631281fa8a93eec3dd427765fff443c446ec2092.jpg"
      },
      {
        "user_id": 224267,
        "full_name": "Sidharth Choraria",
        "title": "Founder/CTO",
        "founder_bio": "Was previously an Amazon engineer and PM working on Appstore. Launched Amazon Appstore  IAP module (equivalent to Google Billing Library) used by app developers to monetise digital goods. Developed an instant electronic payment system to pay out app developers across 135 countries. Founding engineer of Paytm Travel & Platform Engineer at MakeMyTrip,developing systems to handle 100M daily requests. CS grad from Birla Institute of Technology & MBA in Finance from Indian School of Business.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sidharth-choraria-25411b65/details/experience/",
        "x_url": "https://twitter.com/sidharth9932",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bc1f097e9a8afca2f398a44cc546a741582b4d32.jpg"
      }
    ],
    "jobs": [
      {
        "id": 75959,
        "title": "Software Engineer - Backend",
        "url": "https://www.ycombinator.com/companies/infinity/jobs/OFwxm4z-software-engineer-backend",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "₹1M - ₹2M INR",
        "equity_range": "0.20% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Java"
        ]
      }
    ],
    "news": [
      {
        "title": "[Exclusive] Y-Combinator-backed Infinity bags $1.9M in pre-seed funding | YourStory",
        "url": "https://yourstory.com/2025/02/exclusive-y-combinator-cross-border-payments-fintech-startup-infinity-bags-pre-seed-funding",
        "date": "Feb 05, 2025"
      },
      {
        "title": "Infinity: Business banking platform Infinity secures maiden funding from Y Combinator and others - The Economic Times",
        "url": "https://economictimes.indiatimes.com/tech/funding/business-banking-platform-infinity-secures-maiden-funding-from-y-combinator-and-others/articleshow/116166893.cms?from=mdr",
        "date": "Dec 10, 2024"
      },
      {
        "title": "Cross-border fintech stands out in Y Combinator’s Winter 2024 cohort | TechCrunch",
        "url": "https://techcrunch.com/2024/04/05/cross-border-fintech-y-combinator-demo-day/",
        "date": "Apr 05, 2024"
      }
    ],
    "launches": [
      {
        "id": 87402,
        "title": "Infinity - Simplifying global payments for Indian businesses",
        "tagline": "Receive international payments with - Zero fx margin. No hidden fees. 1-day settlement.",
        "body": "**TL;DR:**\n\nWhether you’re a SaaS startup managing payouts to Indian contractors or a growing business sending vendor payments to India or Operating in US Parent Indian subsidiary model, Infinity’s cross-border payments platform offers:\n\n* **Transparent, real-time FX rates.**\n* **Significantly lower fees compared to traditional banks and other providers.**\n* **Same-day settlements.**\n* **Payment Tracking / Notifications**\n* **Seamless compliance for businesses (e.g., invoicing, tax reporting).**\n\n### The Problem\n\nThe US-India payment corridor is one of the busiest globally, yet businesses face slow processing times, high fees, and hidden charges. For startups and growing companies, these inefficiencies can be a real bottleneck. In general _for every dollar a business moves from the US to India, **business loses 3-5%**_**.**\n\nOne of the primary issues with FX transactions is the lack of transparency regarding the total cost of executing payments. These costs often include:\n\n1. Wire transfer fees\n2. Correspondent bank fees\n3. Currency conversion fees\n4. Intermediary fees, among others\n\nWhile some **_providers may highlight lower fees in one category, they often compensate with higher charges in another,_** resulting in minimal or no real savings.\n\nAlso, **global payments are slow with no visibility** on the fund movement.\n\nIn the majority of instances, international bank transfers are facilitated via the SWIFT network. This network ensures the transmission of your payment to its intended recipient. Nevertheless, the path isn't always direct. Certain payments may be routed through intermediaries, often referred to as correspondent banks, akin to making multiple connecting flights before reaching your final destination.\\\n\\\n**Solution**\\\nIntroducing [Infinity](https://youtu.be/N9sdLr5QUig?si=uJPFxXZxH39au9Ht)!\n\n\\\nStreamline global customers and suppliers’ payments with local accounts.\n\n**1) Multi-currency accounts - one platform:** Easily receive funds in major currencies to facilitate transactions with overseas suppliers and customers.\n\n**2) Flat Fee - with zero FX markup:** Be fully transparent about the charges you incur. Receive a comprehensive breakdown of fees before each transaction to avoid any surprises.\n\n**3) Fast, same-day international money transfer:** Track your payment in real-time.\n\n**4) Instant remittance certificate:** You move money. Infinity will take care of compliance.\\\n\\\n**Asks**\n\nAre you dealing with cross-border operations?\n\n* **Try out Infinity** at <https://www.infinityapp.in/> — your first payment is on us!\n* [Schedule a meeting](https://calendly.com/sourav9091/) — We’d love to learn more about your global business challenges and how we can help.\n* **Email us** at [founders@infinityapp.in](mailto:founders@cuckoo.so)\n\n\\\n**😎 Team**\n\nSourav and Sidharth are siblings. This is their second startup together. Back in 2016, they co-founded health tech startup ClinMD.\n\n![uploaded image](/media/?type=post&id=87402&key=user_uploads/224267/5a1859ad-8620-4934-bce6-2e46693802e0)\n\n[Sourav](https://www.linkedin.com/in/sourav-choraria-9b389776/) was Head of the growth and product team at Paytm Money (India's largest wealth management platform). He also successfully launched India's first FD-backed credit card.\n\n[Sidharth](https://www.linkedin.com/in/sidharth-choraria-25411b65/) is a finance & tech geek. He spearheaded the In-app purchase module for the Amazon Appstore, utilized by app developers to monetize digital content globally. He successfully scaled systems to manage 100 million daily requests during his time at Paytm and MakeMyTrip.",
        "url": "https://www.ycombinator.com/launches/Mji-infinity-simplifying-global-payments-for-indian-businesses",
        "votes": 20,
        "created_at": "2025-02-04T15:16:33.974Z"
      },
      {
        "id": 78490,
        "title": "🚀 Infinity - Business banking for cross-border SMBs and startups",
        "tagline": "Infinity is a single platform to manage finances for cross-border business.",
        "body": "### TL;DR:\n\nInfinity simplifies banking for global businesses. It enables cross-border Indian companies to conduct transactions and receive payments in local currencies. Additionally, Infinity offers an in-house treasury management solution, allowing businesses to earn yield on idle cash and mitigate FX risks.\n\nHey everyone! We’re [Sourav](https://www.linkedin.com/in/sourav-choraria-9b389776/) and [Sidharth](https://www.linkedin.com/in/sidharth-choraria-25411b65/) and we're building a business banking platform for cross-border SMBs and Startups. In our past jobs, we worked as founders, wealth managers, growth hackers, and founding engineers at high-growth fintech startups.\n\n![uploaded image](/media/?type=post&id=78490&key=user_uploads/1347097/151b89e9-ff7d-4da8-8fd1-758c5bc04cac)\n\n### \n\n### 🤔 Problem\n\nBusiness banking is difficult. More so if you are global. Cross-border payments pose several challenges due to the complexities involved in transferring funds across different countries and jurisdictions.\\\n\\\n**Global payments are expensive**\\\nOne of the more basic issues with FX transactions is the lack of transparency in terms of the cost to execute FX payments. These costs can include wire transfer fees, correspondent bank fees, currency conversion fees, and intermediary fees, among others. While existing market providers might stress that one factor is low (lower than that of a competitor), that same institution might have high fees in another area, offsetting those savings.\n\n_In general for every dollar a business moves from the US to India, business loses **7%.**_\n\n**Global payments are slow**\\\nIn the majority of instances, international bank transfers are facilitated via the SWIFT network. This network ensures the transmission of your payment to its intended recipient. Nevertheless, the path isn't always direct. Certain payments may be routed through intermediaries, often referred to as correspondent banks, akin to making multiple connecting flights before reaching your final destination.\n\n_Generally speaking, international bank transfers will arrive within **one to five working days**._\n\n**There’s a compliance risk** \\\nEach transaction must be promptly reported to the Central Bank of India, accompanied by the correct invoice and purpose codes (of which there are numerous variations), sign-off from chartered accountants, etc. Failure to comply with these requirements can result in payment delays extending for months.\n\n**And There’s a FX risk**\\\nThe conversion rates between USD and INR are variable.\n\n![uploaded image](/media/?type=post&id=78490&key=user_uploads/224267/144ca69a-c117-4837-b4ae-731cfed5fc15)\n\nWhat you receive today may differ from what you get in five days. If a business converts USD to INR five days from now and the dollar weakens, it will incur losses.\n\n### 🤩 The Solution\n\nIntroducing Infinity!\\\nStreamline global customers and suppliers’ payments with local accounts.\n\n**1) Multiple local currency accounts - one platform:** Easily send, hold, and receive funds in major currencies to facilitate transactions with overseas suppliers and customers.\\\n**2) Flat Fee - with zero FX markup:** Be fully transparent about the charges you incur. Receive a comprehensive breakdown of fees before each transaction to avoid any surprises.\\\n**3) Fast, same-day international money transfer:** Track your payment in real time.\\\n**4)** **Treasury service to hedge FX:** Earn higher yields on idle cash without worrying about liquidity and underlying asset risk.\\\n**5) Instant remittance certificate:** You move money. Infinity will take care of compliance.\n\n![uploaded image](/media/?type=post&id=78490&key=user_uploads/224267/aa9f08af-a85a-4252-b889-f62c1e2a2d6a)\n\n\\\nOur long-term vision is to be the **_financial operating system_** for businesses by automating daily financial tasks, allowing them to focus on what matters most. \n\n### 😎 **Team**\n\nSourav and Sidharth are siblings. This is their second startup together. Back in 2016, they co-founded health tech startup ClinMD.\n\n[Sourav](https://www.linkedin.com/in/sourav-choraria-9b389776/) was Head of the growth and product team at Paytm Money (India's largest wealth management platform). He also successfully launched India's first FD-backed credit card. \n\n[Sidharth](https://www.linkedin.com/in/sidharth-choraria-25411b65/) is a finance & tech geek. He spearheaded the In-app purchase module for the Amazon Appstore, utilized by app developers to monetize digital content globally. He successfully scaled systems to manage 100 million daily requests during his time at Paytm and MakeMyTrip.\n\n### **🙏 Our Ask**\n\nIf you want to try us out or to know how to manage your cash, please reach out to us. We’d love to give you a demo of how Infinity works, and even if not, we’d be happy to help you figure out your cash management situation.\n\nSay hi at [**sourav@infinityapp.in**](https://mailto:sourav@infinityapp.in/) or [**sid@infinityapp.in**](https://mailto:sid@infinityapp.in/) or Whatsapp at +91-9535482864 👋🏻\n\nAnd we’ll help you get started!\n\nYou can also [fill this form](https://dashboard.infinityapp.in/auth/signup) to request a demo.\n\n* Website —[**https://www.infinityapp.in**](https://www.infinityapp.in/)\n* LinkedIn — [**https://www.linkedin.com/company/infinityinvest**](https://www.linkedin.com/company/infinityinvest)",
        "url": "https://www.ycombinator.com/launches/KPy-infinity-business-banking-for-cross-border-smbs-and-startups",
        "votes": 164,
        "created_at": "2024-02-16T22:41:05.516Z"
      }
    ]
  },
  {
    "id": 29465,
    "name": "Polar",
    "slug": "polar",
    "former_names": [
      "Aria",
      "GoldenBasis"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a67ca9f40a361ea65885c3e75244352a9f9f8a46.png",
    "website": "https://www.polarfi.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Polar helps remote workers, freelancers, and online sellers outside the U.S. who get paid in dollars get better exchange rates when moving earnings to their local bank. We give them a U.S. dollar account in their name to receive USD earnings and let them withdraw through local bank transfers or stablecoins instead of the expensive options they use today.",
    "one_liner": "The smarter way to manage USD earnings globally",
    "team_size": 2,
    "industry": "Fintech",
    "subindustry": "Fintech -> Consumer Finance",
    "launched_at": 1708655609,
    "tags": [
      "Fintech",
      "Crypto / Web3",
      "Investing",
      "Remittances",
      "Neobank"
    ],
    "tags_highlighted": [
      "Crypto / Web3"
    ],
    "top_company": false,
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    "nonprofit": false,
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        "full_name": "Grant Ackerman",
        "title": "Founder/CEO",
        "founder_bio": "Grant is the co-founder & CEO of Polar. Grant previously led Altruist's integration of SSG, which Altruist acquired to become the third-largest custodian by number of RIAs behind Schwab and Fidelity. Before that, Grant helped grow Princeton’s endowment from $26.1 billion to $37.7 billion as a member of the 20-person investment staff. Grant graduated from Princeton, where he studied Economics, Computer Science, and Finance.",
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        "full_name": "Andrew Wang",
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      {
        "id": 78734,
        "title": "GoldenBasis - Modern back-office software for brokerages",
        "tagline": "Revamping the brokerage operations tech stack, starting with account transfers",
        "body": "### **TLDR;**\n\n[GoldenBasis](https://www.goldenbasis.com) makes it easy for brokerages (think Schwab or Fidelity) to run their back office with modern software, and we’re starting with investment account transfers. For example, when you want to transfer your stocks from Schwab to Fidelity, GoldenBasis would let Fidelity gather your transfer information, track the status of your transfer, and automatically update their internal records.\n\n### **Ask**\n\nIf you or someone you know is leading a brokerage operations team and wants to improve their account transfer process, please reach out at [founders@goldenbasis.com](mailto:founders@goldenbasis.com)!\n\n### **A quick primer on account transfers**\n\n* Account transfers exist so you can move to a new brokerage without selling your positions, which could incur taxes.\n* Incoming account transfers are a primary source of growth for brokerages.\n* Over $90 billion of assets are transferred every month in the US. Surprisingly, 18% of these transfers are delayed, often for several weeks \\[1\\].\n\n**How the process works**\n\nLet’s say you want to transfer your assets from Schwab to Fidelity. The following needs to happen:\n\n* You fill out an account transfer form at Fidelity.\n* Fidelity sends this information to Schwab.\n* Schwab tells Fidelity what assets are in your account.\n* Fidelity makes sure they can hold these assets.\n* Your assets move to Fidelity a few days later.\n\nThis back-and-forth process is part of a standard protocol called ACATS, and it lets brokerages transfer assets to each other electronically \\[2\\]. The process above sounds straightforward, but there are hundreds of edge cases detailed in manuals that total over 1000 pages.\n\n### **Problem**\n\nTransfers are supposed to take 3-4 days but often take weeks. During the transfer:\n\n* You can’t trade your assets.\n* To find out the status of your transfer, you need to contact customer support.\n* The brokerage receiving your assets is missing out on revenue.\n* The brokerage delivering your assets gets in trouble with the regulators if they don’t go quickly enough.\n\nWhy are delays so common? It’s because there are multiple rounds of manual data entry and any small mistake (e.g. missing comma) can delay the transfer. Furthermore, the operations team has to resolve issues on outdated platforms that are hard to use.\n\nHere’s a taste of the experience today:\n\n* You begin the transfer by filling out a daunting form.\n\n  ![uploaded image](/media/?type=post&id=78734&key=user_uploads/714908/c77b27cb-a621-4364-a3dc-4f2f371897b0)\n\n* The brokerage operations team re-enters your form and handles issues in a back-office system.\n\n  ![uploaded image](/media/?type=post&id=78734&key=user_uploads/714908/9a53a162-695a-40b4-a41a-a7cc1cb1834d)\n\n\n### **Solution**\n\nGoldenBasis provides a modern software stack that solves these issues:\n\n* With GoldenBasis, you don’t need to fill out any forms. Just upload your account statement from the brokerage you want to leave, and our AI extracts and validates the fields, which vastly reduces errors.\n\n  ![uploaded image](/media/?type=post&id=78734&key=user_uploads/714908/1966b057-cc89-42ab-b4ce-acc20f50d53a)\n\n* GoldenBasis lets you easily track the status of your transfer so you know what’s going on without having to contact support.\n\n  ![uploaded image](/media/?type=post&id=78734&key=user_uploads/714908/984e522f-5537-4876-b8d3-748ca0971ed5)\n\n* GoldenBasis provides modern GUIs for the operations team to handle issues.\n\n  ![uploaded image](/media/?type=post&id=78734&key=user_uploads/714908/234c33e9-a876-4aba-9080-30c7d741a042)\n\n\n### **Team**\n\n![uploaded image](/media/?type=post&id=78734&key=user_uploads/714908/9c49f965-4e87-4d7e-86ec-eb85ead3e823)\n\n[Grant](https://linkedin.com/in/grant-a-391184a5) (CEO) met [Andrew](https://linkedin.com/in/andrew-wang-0b5526109) (CTO) in college at Princeton, where they became best friends. In fact, Andrew was the best man at Grant’s wedding. They teamed up to take on their biggest adventure yet: building a startup and reading a couple thousand pages of manuals along the way.\n\nBefore GoldenBasis, Grant worked at Altruist, where he discovered the outdated technology that was causing so much pain for brokerage back offices. He also led Altruist’s integration of SSG post-acquisition, which made Altruist the third-largest custodian for financial advisors, behind Charles Schwab and Fidelity. Before that, Grant helped grow Princeton’s endowment from $26.1 billion to $37.7 billion as a member of the 20-person investment staff.\n\nBefore GoldenBasis, Andrew did quant research and software engineering at Citadel, where he built trading systems that process billions of dollars per day. Before that, he worked at Bridgewater, where he wrote software to model global economies and trade fixed-income securities. Andrew loved the prospect of bringing legacy systems to the modern age, especially the back office since it’s so often neglected.\n\n\\[1\\] <https://www.sifma.org/wp-content/uploads/2022/10/SIFMA-Transfer-of-Customer-Assets-Guidance-2022.pdf>\n\n\\[2\\] <https://www.investopedia.com/terms/a/acat.asp>",
        "url": "https://www.ycombinator.com/launches/KTu-goldenbasis-modern-back-office-software-for-brokerages",
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        "created_at": "2024-02-26T04:35:58.966Z"
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        "full_name": "Asa Miller",
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        "founder_bio": "2× YC founder of a kid-safe AI companion and a pediatric care company. I’m also an engineer of polished 0→1 products; leader of teams shipping stellar work; and a dad who believes tech should be trusted and loved by families.",
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        "id": 82522,
        "title": "Genie — The best AI sidekick for kids",
        "tagline": "A conversational AI companion that can create generative art, play games, write stories and talk with kids in a safe & age-appropriate way.",
        "body": "Hi, we’re Darius and Asa. We're friends, dads, go-karting rivals, and the cofounders of [Genie](https://www.Genie.gg) — the best AI sidekick for kids. Genie is a conversational AI that encourages creative play and guides kids through the Genieverse, the future of games, media, and social for kids.\n\n**Download our app at:** [**http://genie.gg/app**](http://genie.gg/app)\\\nVisit us at: [www.Genie.gg](http://www.Genie.gg)\n\n**The Genie Team**\n\n[Asa](https://www.linkedin.com/in/asamiller/) and [Darius](http://linkedin.com/in/dariusmonsef) previously cofounded [BraveCare.com](http://BraveCare.com) (YC S19), which raised $40M in funding and enabled more than 50k urgent care visits for kids who were sick or injured— during the pandemic and the recovery years— all while delivering a care experience that maintained a nearly 5-Star score across thousands of reviews.\n\nDarius’ first time through YC was in W10 with [CreativeMarket.com,](http://CreativeMarket.com) which led to an acquisition by Autodesk in ’14. He also cofounded Sightbox, a DTC contact lens service that was acquired by Johnson & Johnson in ’17.\n\n![uploaded image](/media/?type=post&id=82522&key=user_uploads/32175/b55dcc84-b2d8-4620-a77f-620f8f66d3ff)\n\n**Our vision for a better internet for kids**\n\nAs a father, I want to protect my kids at all times and everywhere they go in the world, and in reality, I can’t. But I can build an AI that keeps them safe everywhere they go online and create a “digital Disneyland” for them to play, explore, and connect in.\n\nLike Jarvis to Ironman, Sox to Buzz Lightyear, or Baymax to Hiro, a child is the hero of their own story, and we’re building them the ultimate sidekick. An AI buddy that has their back in the online world, encourages creative play and helps them learn about anything, at any time, in an age-appropriate way.\n\nSoon, hundreds of millions of kids across the globe will connect on the next platform that’s foundationally powered by AI. We’ve seen it coming for a while, and we’re already building that new space… the Genieverse!\n\n![uploaded image](/media/?type=post&id=82522&key=user_uploads/32175/366ff304-4c16-476d-b7ae-cb271a5249c9)\n\n**Do something fun with Genie today**\n\n**Create**\\\nGenie is an always-kind, supportive & friendly AI agent that can co-create free-form generative art with kids, and they can create thru other art modes like the “Crazy Food Lab” or “Muppet Monsters.”\n\n**Play**\\\nGenie can also build incredibly imaginative story worlds where kids decide what happens next or play logic puzzles or word games designed to spark kids’ creative and critical thinking. Genie also knows that kids should have time off of their screens and be active out in the world. When there is available screen time, we built Genie to be engaging and creative.\n\n**Learn**\\\nThe internet is an incredible wealth of knowledge and information, but browsers are binary about whether a kid has access to everything… or nothing. Genie is a safe resource for kids who are curious about the world around them. Sometimes a trusted adult isn’t available to ask, or kids feel weird about asking, so Genie makes sure that tricky questions are answered in kind and age-appropriate ways.\n\n**Find “**[**Genie.gg**](http://Genie.gg)**” on the App Store** or click here: [**http://genie.gg/app**](http://genie.gg/app)",
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        "full_name": "Toby Hirsch",
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        "full_name": "Sparsh Sharma",
        "title": "Founder",
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        "is_active": true,
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      {
        "id": 83571,
        "title": "Paasa - Build wealth across borders",
        "tagline": "Invest in US markets from emerging economies.",
        "body": "[Paasa](https://paasa.com/) gives high-net-worth individuals (HNIs) in emerging markets the same globally diversified portfolios as HNIs in America.\n\n![uploaded image](/media/?type=post&id=83571&key=user_uploads/1349737/99f6cc47-f702-4c67-b7c8-9659ff814b35)\n\n**What’s the problem?**\n\n‘Pre-HNIs’ and HNIs in countries like India want to diversify their wealth internationally. A few cross-border brokerage apps exist, but most customers hesitate due to:\n\n* Lack of guidance on foreign investments\n* Remittance regulations that change every year\n* Cross-border tax filing that their CFAs struggle with\n* Slow outflows from local banks\n\nThese barriers keep global investing out of reach, reserved for the top 0.001% who can afford wealth managers and family offices. We’re changing that.\n\nOur vision is to bring all the opportunities of the 0.001% to the pre-HNI without any hassle.\n\n**Team**\n\n[Sparsh](https://www.linkedin.com/in/sparsh-sharma-design/) and I ([Nitish](https://linkedin.com/in/nitishsahni)) grew up in India and have known each other for 5 years. Both personal finance nerds, we previously worked at SoFi, where Sparsh led design on Student Loan Refinance, and I led engineering projects on Data Governance.\n\n**Ask**\n\nIf you’re in India and want to invest globally, [reach out](https://paasa.co/form)! We’re [founders@paasa.co](mailto:founders@paasa.co)\n\n![uploaded image](/media/?type=post&id=83571&key=user_uploads/1349737/821d0b76-d224-43b7-996d-a539b271dba9)\n\n",
        "url": "https://www.ycombinator.com/launches/Ljv-paasa-build-wealth-across-borders",
        "votes": 131,
        "created_at": "2024-08-29T15:14:04.755Z"
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    "name": "Keye",
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        "full_name": "Lalit Lal",
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        "founder_bio": "Lalit is a Cofounder and CTO at Keye. By trade, Lalit is a seasoned software engineer with a over 7 years in industry experience leading and building SaaS products from the ground up. Working through 2 historical SaaS acquisitions as an early engineer and leading technical teams of various sizes, Lalit is comfortable across the stack (devops, frontend, backend, and ML). He comes from a background in Robotics (University of Waterloo) and Machine Learning (University of Toronto).",
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        "url": "https://www.ycombinator.com/companies/keye/jobs/OFbSYE1-founding-private-equity-strategist",
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        "role_type": null,
        "salary_range": "$150K - $250K",
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        "location": "New York, NY, US / Remote (US; CA; MX; BR)",
        "type": "Full-time",
        "role": "Engineering",
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    "news": [
      {
        "title": "We Built the Diligence Platform We Wish We Had | Jul 29, 2025",
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    "launches": [
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        "id": 85647,
        "title": "Keye🗝️: The Smartest Private Equity Analyst",
        "tagline": "Surfacing deep insights from complex analyses in M&A due-diligence.",
        "body": "### **TL;DR:**\n\n[**Keye AI**](https://www.keye.co) 🗝️ helps Private Equity Investors do due diligence for acquisitions more accurately and faster — in seconds rather than weeks. Unlike other tools that stop at summarizing, Keye creates all complex analyses relevant in diligence like cohort, retention, etc. It extracts critical insights from each of those analyses and assembles these insights into a holistic understanding of a business. With Keye, investors save time, make better investments, do more deals, and see superior returns. [ ](https://www.loom.com/share/ab97cda368214714a28a932dc6a8a494)\n\n### **Dealmakers And Tech Innovators: Redefining Diligence**\n\n[**Conor**](https://www.linkedin.com/in/conor-brown-9a02849b/) and [**Rohan**](https://www.linkedin.com/in/parikhrohan/) bring a combined 14 years of experience in the industry at Vista Equity Partners (Private Equity), Goldman Sachs, and Natixis, during which they conducted due diligence and represented companies in transactions totaling over $20B. [**Lalit**](https://www.linkedin.com/in/lalitlal/), co-founder and CTO, spent 7 years leading teams as an early engineer for three different AI companies (AI Ads, AI Robotics, AI Pharmaceuticals), two of which had private equity exits.\n\n![uploaded image](/media/?type=post&id=85647&key=user_uploads/751995/cde7a99f-0520-4cc2-9e13-df5306b6a613)\n\n**(First day at our Hacker House in SF for YC!** **Ready to shape the future of investing, one day at a time. 🚀)**\n\nCurrent AI tools search and summarize data but fall short of generating insights that create true alpha. So, we decided to tackle the toughest challenges in due diligence, from rigorous data cleaning and manipulation to generating complex analyses that uncover hidden insights. Our mantra: \"**Stop Summarizing, Start Analyzing!**\"\n\n### **The Due-Diligence Dilemma**\n\nPrivate equity funds are struggling to find and win the right deals because due diligence is time-consuming and labor-intensive, leading to:\n\n1. Only assessing \\~20% of deals due to limited resources\n2. Wasting time on the wrong deals and missing out on the right deals\n3. Missing critical details leads to losing millions or sometimes billions\n4. Failing to discover the hidden insights that help win deals and generate alpha\n\n### **The Only Platform Built Around the Investor's Thought Process**\n\n1. Instantly **generate thousands of complex analyses** from raw data\n\n   ![uploaded image](/media/?type=post&id=85647&key=user_uploads/751995/415dc7eb-8ab3-4861-9ecb-1f462b601e32)\n\n2. **Extract critical insights** from each analysis (trends, anomalies, narratives, etc.)\\\n   For Example: _“_Each successive cohort's initial average revenue per customer decreases (2008: $61.7K, 2009: $29.1K, 2010: $25.2K, 2011: $18.1K), indicating a concerning downward trend in the average value of new customers._”_\n\n   ![uploaded image](/media/?type=post&id=85647&key=user_uploads/751995/98810121-424d-443a-bff8-496c92eab7f4)\n\n3. Create and **personalize analyses** based on the fund and industry\n\n   ![uploaded image](/media/?type=post&id=85647&key=user_uploads/751995/3864c8b0-f77d-40ae-84a2-f550c1bf8593)\n\n\n**Gain unparalleled visibility into your entire deal history and unlock the shared intelligence within.**\n\n### **Proof Is In The Pudding**\n\n_“We recently did a deal and initially analyzed cohorts on a yearly basis, and while it looked good overall, we later found an issue in Q2 that only came up after speaking with the management team. By then, the team had invested so much time that it didn’t make sense to go back and redo everything quarterly. If I could have just clicked a button to view quarterly cohort insights upfront, it would have saved us considerable effort. I wish I’d had that **button**.\"_- Managing Partner, MM HealthCare Fund\n\n….he agreed that the **button** is Keye, and the fund signed up!\n\n### \n\n### **Still Haven't Reached Out? Let’s Fix That**\n\nIf you are a:\n\n1. **Managing Partner/Partner** @ PE Funds who thinks technology will play a role in their fund’s performance.\n2. **Principal/Vice President** @ PE Funds, who wants to retain top talent and do more deals.\n3. **CTO/CIO** at Mega Funds, looking for innovative solutions to help investment teams.\n4. **AI Steering Committee Members** at Upper Middle Market/Mega Funds.\n5. **Senior Associate** looking to do more critical analyses and less pivot table permutations.\n6. **Operating Partners (Tech-Focused)** at Lower-Middle Market and Middle-Market Funds.\n\nWe suggest you book some time [here](https://calendly.com/keye_founders/keye-demo)!\n\n# \n\n### **Follow our journey:**\n\n🌐 Website: <https://keye.co>\\\n[💼](https://keye.co%EF%BF%BC%F0%9F%92%BC) LinkedIn: <https://www.linkedin.com/company/keye>\\\n[✍️](https://www.linkedin.com/company/keye%EF%BF%BC%E2%9C%8D%EF%B8%8F) Capital AI blog: <https://www.keye.co/blog>\\\n[🐦](https://www.keye.co/blog%EF%BF%BC%F0%9F%90%A6) X: <https://x.com/keye_co>",
        "url": "https://www.ycombinator.com/launches/MHP-keye-the-smartest-private-equity-analyst",
        "votes": 207,
        "created_at": "2024-11-18T16:45:28.631Z"
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    "long_description": "Trata is an AI-powered research desk for hedge funds. We use agents to interview hedge fund analysts, write investment research, and distribute this through a subscription.",
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        "full_name": "Eric Cho",
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        "type": "Full-time",
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        "title": "Everyone Wants Debt, Not Equity - Bloomberg",
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      {
        "id": 87903,
        "title": "Trata – Anonymous buyside research desk for hedge funds",
        "tagline": "Trata uses AI agents to help hedge funds find their next 10-bagger",
        "body": "### **TL;DR**\n\nTrata gives hedge funds un-biased, unfiltered stock analysis from anonymous Analysts at well-known funds. Our AI agents interview Analysts at multi-billion dollar funds, capture their thinking about the stocks they know and publish it anonymously.\n\n### **Problem:**\n\n1. It takes buyside Analysts at least 3 hours to figure out a company’s key narratives/points of debate - what outcomes are going to drive the share price up OR down? Examples: an ongoing lawsuit, a competitor going bankrupt, an Activist campaign, a new CEO, etc. This involves reading earnings call transcripts, initiation reports, talking to Investor Relations, reaching out to other Analysts, and piecing everything together yourself.\n2. Because of the time it takes to do step 1, would-be winners/inflection points fall through the cracks all the time.\n3. Current solutions (idea dinners, forums like Value Investors Club, Twitter DMs, independent research boutiques and even paid Substacks) are fragmented and biased.\n4. The highest quality leads come from talking directly to fellow Analysts, but there’s never been a way to do this at scale, authentically. Until now.\n\n### **Solution:**\n\nWe use LLMs to interview dozens of people a day, get their quick and honest takes on signals/points of debate they’re actually paying attention to, and turn that into a one-of-a-kind research product. Each conversation is with an anonymous hedge fund Analyst who is deeply familiar with the company – think an expert network where the hedge funds are the experts. Contributors share their knowledge to gain access to an exponentially bigger pool of expertise.\n\nWe don’t provide investment advice; we just get you up to speed – fast. We work directly with the compliance teams of multi-billion dollar hedge funds and have a team of human lawyers to ensure SEC compliance.\n\nWe are building the product I wish I had as an Analyst. Our first user interviews liked the idea so much (without any code built) that they are now our angels.\n\n<https://www.youtube.com/watch?v=gE_Ovy1BiTM>\n\n### **Here’s how to think about our value proposition:**\n\nIf a fund manages $300 million, one successful idea (3% position, +50% return) generates $4.5 million in profit and $900K in fees ($720/180K split between the Portfolio Manager and Analyst). This is a 750X, 120X, and 30X ROI on a $6K subscription for the Fund, Portfolio Manager and Analyst.\n\nAll it takes is one decent idea for Trata to be a home run.\n\n### **Our Ask:**\n\nIf you are a hedge fund Analyst or know any hedge fund Analysts / public investors, please reach out! They don't have to be at a big fund like Citadel for us to be interested. We pay very well. They will most likely thank you for the intro. We guarantee anonymity. Contact us at [founders@trytrata.com](mailto:founders@trytrata.com).\n\n### **Our Team’s Story:**\n\nEric and Will met at Cornell as undergrads. Eric and Alex met in high school English and grew up in the same hometown.\n\n[Eric](https://www.linkedin.com/in/emc329/): 4.5 years as a Senior Analyst at a Long/Short Hedge Fund covering tech companies globally. Applied Economics (summa cum laude) at Cornell. Posts on Value Investors Club for fun, Sohn Idea Contest Finalist in 2021, has traveled to 20+ countries in the past few years.\n\n[Will](https://www.linkedin.com/in/william-m-gao/): UChicago PhD Student (ML/AI). Research Scientist Intern at Meta’s Reality Labs, Nvidia’s Deep Imagination Lab, and Adobe Research. Full-time ML Engineer at Meta. CS/Stats/Math triple major in three years and a Master’s in CS his fourth year at Cornell. Globally ranked in certain online video games.\n\n[Alex](https://www.linkedin.com/in/alexanderqchen/): Senior Software Engineer at Titan (YC S18, Series C backed by a16z), Engineer 7 at Medallion (Series C backed by Sequoia), Software Engineer at Oscar Health a year before its IPO. CS degree from UCLA. Took a gap year to pursue bootstrapped entrepreneurship in Taiwan. By far the best chef in the apartment.\n\n![uploaded image](/media/?type=post&id=87903&key=user_uploads/1739520/7ff92c6e-665c-4393-991d-865dda1479be)\n\n",
        "url": "https://www.ycombinator.com/launches/Mrn-trata-anonymous-buyside-research-desk-for-hedge-funds",
        "votes": 58,
        "created_at": "2025-02-21T18:41:41.234Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Serafis is building the AI knowledge graph for market intelligence, starting with the information frontier. Trusted by top investors ($70B+ AUM) and the largest global consulting firms.",
    "one_liner": "Deep intelligence for private markets",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1755276267,
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        "title": "Serafis - the podcast app for investors",
        "tagline": "Narrative intelligence to help you find the next 10x idea",
        "body": "**TL;DR** Serafis helps you discover ideas worth paying attention to, from the voices that matter. Our data platform is already used by top asset managers and the world's largest consulting firms. Now, narrative intelligence fits in your pocket.\n\n> “Anytime somebody from one of the \\[AI\\] labs goes on a podcast … it’s so important to listen … it’s in my job description. There are some real needles in the haystack.”\n>\n> Gavin Baker, CIO of Atreides Management ($5B AUM)\n\n🎥 [Discover the next 10x idea with Serafis.](https://www.youtube.com/watch?v=979mS9_-Bs4)\n\n**Serafis indexes the information frontier**\n\nThe sharpest minds now go direct. CEOs, founders, researchers and investors increasingly share their perspectives on independent channels. Hearing from credible voices is one of the most effective ways to:\n\n* Generate new investment ideas\n* Research markets and companies\n* Develop your view on any given topic\n\n**The problem:** harnessing this information is a challenge. It’s scattered and buried across thousands of hours of audio.\n\nSerafis is building a structured, queryable knowledge graph for narratives – starting with podcasts. Search by person, company or theme across 100K+ curated transcripts.\n\n**We’re democratizing narrative intelligence**\n\nToday we’re launching the [Serafis mobile app](https://serafis.app): the world’s first podcast app for investors, with an AI-native interface.\n\n* Discover content relevant to the companies you follow\n* Explore a feed of the most insightful ideas found in podcasts\n* Ask questions about episodes, shows, or the Serafis library. Get answers with timestamped citations that take you to the exact quote.\n\nWe’ve thoughtfully integrated AI to help you find better information, faster. We also know how important it is to stay close to the source. For any episode, you can export, search, and highlight the full transcript.\n\n**Download the app now:**\n\n* [**iOS**](https://apps.apple.com/us/app/serafis/id6751523936)\n* [**Android**](https://play.google.com/store/apps/details?id=com.r9a.serafis.mobileui)\n\nWe’d love your feedback. Feel free to get in touch: [founders@serafis.ai](mailto:founders@serafis.ai)\n\nIf you’re a business interested in using our data platform, please [request a demo.](https://tally.so/r/gD0xxK)\n\n![uploaded image](/media/?type=post&id=102769&key=user_uploads/288934/86305a78-39e4-40ea-8dae-eb7ef9315e5e)\n\n",
        "url": "https://www.ycombinator.com/launches/QjZ-serafis-the-podcast-app-for-investors",
        "votes": 21,
        "created_at": "2026-06-08T23:06:52.317Z"
      }
    ]
  },
  {
    "id": 30552,
    "name": "sieve",
    "slug": "sieveai",
    "former_names": [
      "Sieve"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/459d63741f9af0815baebb98ab6c243158d589c2.png",
    "website": "https://usesieve.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "sieve solves data cleaning for hedge funds and investment firms by letting them get clean data in four lines of code. Currently, their data pipelines have conditions that raise for human review, which literally send an email to engineers with data that needs to be reviewed. We provide an API that integrates directly into their existing pipeline - instead of raising for human review, they can send all the same information to our API and get clean, high-quality data back.\r\n\r\nBy using our AI agents built specifically for financial data collection, along with expert-in-the-loop review, we provide our clients with clean, validated data at a scale and level of quality that wasn't achievable before.",
    "one_liner": "AI + human review to solve data cleaning - accessible via API or Excel",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1747624073,
    "tags": [
      "Investing",
      "Data Engineering",
      "APIs"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Finance and Accounting"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/sieveai",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/sieveai.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/usesieve",
    "x_url": "https://x.com/usesieve",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1591478,
        "full_name": "Nicole Lu",
        "title": "Founder/CEO",
        "founder_bio": "Nicole is co-founder and CEO of sieve, which is solving data cleaning for hedge funds and investment firms. She previously worked at Citadel across Equity Quant Research, Global Trading, and Data Science groups, was a management consultant at McKinsey, and developed cancer detection algorithms at the Broad Institute.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lu-nicole/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8afeb7c737351a294c8a72c2510ef4df86a819d9.jpg"
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    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 90521,
        "title": "sieve helps hedge funds extract and clean data from any source directly into their existing tools",
        "tagline": "Focus on differentiated analyses and never think about data cleaning again",
        "body": "**The problem**\n\nRight now, the most sophisticated hedge funds pay over-qualified data engineers to spend hours a day on the under-levered task of data cleaning. It's crazy to anyone outside of the industry, but in finance even earnings dates (the date a company reports earnings) are considered **a known hard problem.**\n\nhttps://youtu.be/V-OpzDRge3o\n\n**Our ask**\n\nWe've solved this problem and our ask to the YC community is - **connect us with anyone you know who works in the investing world and uses data (should be all of them).** You can email us at [founders@usesieve.com](mailto:nicole@usesieve.com).\n\n**Who we are**\n\nAfter studying CS at MIT, I worked at Citadel and McKinsey, and Savannah worked at Bain. We've dealt with this problem first hand and were amazed that there weren't good solutions.\n\n**What we've built**\n\nsieve lets hedge funds replace manual review in their data pipelines with a simple API call, so their engineers and analysts can get back to more differentiated work. Behind the scenes, we use AI to find and retrieve the appropriate source documents and to extract the requested data. Each data point is reviewed by a team of expert reviewers before being returned to the client. This lets us achieve the level of accuracy hedge funds need, and that AI-only approaches aren't able to achieve.\n\nWe offer direct API access and access via other tools like Excel. Watch below to see how the excel integration works!\n\n[**https://youtu.be/r6A1t_X2kZo**](https://youtu.be/r6A1t_X2kZo)\n\n**What the early results look like**\n\n* sieve is able to replace manual data cleaning workflows:\n  * accurately (100% match to data that was hand-collected internally)\n  * more scalably (weeks of full-time work to review data became a passive background task for the data scientist)\n  * more cheaply (easily 60-70% cheaper than existing options, even when that existing option is BPO outsourcing)\n\nIn our first week of YC, we were told that we need to be at least one of: better, faster, or cheaper.\n\n![uploaded image](/media/?type=post&id=90521&key=user_uploads/1591478/5e3dcc39-e2cb-48d4-bf91-5babfba2d701)\n\n![uploaded image](/media/?type=post&id=90521&key=user_uploads/1591478/9bec35c3-4989-4973-b5ab-2fd181799d39)\n\n",
        "url": "https://www.ycombinator.com/launches/NY1-sieve-helps-hedge-funds-extract-and-clean-data-from-any-source-directly-into-their-existing-tools",
        "votes": 83,
        "created_at": "2025-05-19T15:16:31.617Z"
      }
    ]
  },
  {
    "id": 30614,
    "name": "Astor",
    "slug": "astor",
    "former_names": [
      "Gaus"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/84b5fdcf24f0c61830898968d03a605cac559df3.png",
    "website": "https://astor.app/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Astor is an AI investment advisor for retail investors.\r\n\r\nFounded by Bruno Koba (Nubank, monashees) and Daniel Tulha (Stripe, Robinhood), Astor gives every active investor an AI investment advisor working around the clock to surface their next great investment. We’re backed by YC (S25).\r\n\r\nRetail investors now account for 25% of all U.S. trading volume, nearly double from 2012. But over 56% still say they don’t feel confident in their investment decisions. Astor fixes that. \r\n\r\nOur AI agents uncover opportunities, decode emerging trends, and deliver analysis tailored to you. Instead of drowning in noise, investors gain a clear edge, shifting from guesswork to confident decision-making.\r\n",
    "one_liner": "AI advisor for retail investors",
    "team_size": 5,
    "industry": "Fintech",
    "subindustry": "Fintech -> Consumer Finance",
    "launched_at": 1754607917,
    "tags": [
      "Fintech",
      "Investing",
      "Consumer Finance",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 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/astor",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/astor.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/joinastor",
    "x_url": "https://x.com/astorinvest",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/84b5fdcf24f0c61830898968d03a605cac559df3.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
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    ],
    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
    "founders": [
      {
        "user_id": 1775091,
        "full_name": "Bruno Koba",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Astor. Building an AI advisor for retail investors. Stanford GSB and ex-Nubank, monashees.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bruno-koba/",
        "x_url": "https://x.com/brunokoba_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d81aade2268f281538a7e6164958b37bf3fa7c1c.jpg"
      },
      {
        "user_id": 2562089,
        "full_name": "Daniel Tulha Hochstetler",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ Astor, building an AI advisor for retail investors. Previously at Stripe, Robinhood & Amazon.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/daniel-hochstetler",
        "x_url": "https://x.com/tulha_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/508f491fb354d0660e317d62cfa24242f1b88e17.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Astor raises $5 million seed round for its AI-based financial advisory service | Fortune",
        "url": "https://fortune.com/2026/04/23/jjjj/",
        "date": "Apr 23, 2026"
      }
    ],
    "launches": [
      {
        "id": 92883,
        "title": "Astor: Your Personal AI Investment Analyst",
        "tagline": "Astor supercharges research for individual investors",
        "body": "Hey 👋, we’re Bruno and Daniel, the founders of Astor.\n\n**TL;DR:**\n\nAstor is your personal AI investment analyst. It gives you the same market tracking, deep research, and real-time alerts that institutional investors rely on, now built for your portfolio.\n\n**The problem**\n\nRetail investors are fundamentally disadvantaged compared to professionals.\n\nInstitutional investors have teams of analysts tracking markets in real time, digging into data, and flagging opportunities before anyone else. Retail investors, meanwhile, have to piece together brokerages, news sites, and forums.\n\nThese tools haven’t changed in 15 years. In the U.S., 61% of adults — over 160 million people — own stocks, yet more than half say they don’t feel confident in their investment decisions. \n\nWe’re building Astor to level the playing field.\n\n<https://youtu.be/kFdGUuZ86uA?si=p6NZpPT6hkgxbKgi>\n\n**How does it work?**\n\nAstor is your personal AI investment analyst. It monitors markets 24/7, filters out noise, and delivers only the insights that matter for your portfolio. That could mean:\n\n* Spot catalysts before they hit the mainstream: e.g., flag unusual insider activity on a stock you own hours before it trends.\n* Deliver deep, tailored research: pull together data, filings, and expert commentary into concise, decision-ready briefs on any company or theme you care about.\n* Test and validate your ideas: run “what if” scenarios and uncover supporting or contradicting market data before you act.\n\nIt’s like having a Wall Street-grade analyst in your pocket — one that never sleeps, never misses a headline, and tailors everything to your holdings.\n\n![uploaded image](/media/?type=post&id=92883&key=user_uploads/1775091/4b7be896-ff26-47c0-834f-664eebfae195)\n\n**Who’s it for?**\n\nAny active investor who wants to move from reactive guesswork to deliberate, confident decision-making. \n\n**Backstory**\n\nWe’re two Brazilian fintech builders from São Paulo.\n\n* Bruno was a data scientist at Nubank, building machine learning models that impacted millions, and later a fintech investor at Monashees.\n* Daniel was a software engineer at Stripe, Robinhood, and Amazon, creating production-ready AI agents and scaling systems during meme stock booms and volatile markets.\n\nWe’ve seen both sides — the institutional edge and the retail struggle — and we’re building Astor to close that gap.\n\n![uploaded image](/media/?type=post&id=92883&key=user_uploads/1775091/e6d09b90-5d81-4a6a-bca0-1a22cc1ed668)\n\n**Ask**\n\nIf you invest, try Astor and tell us what you think. Sign up at[ ](https://joingaus.com)[joinastor.com](http://joingaus.com).\n\nYou can reach us directly at [founders@joingaus.com](mailto:founders@joingaus.com) — we’d love your feedback.\n\nThanks for your support,\n\nBruno + Daniel 📈",
        "url": "https://www.ycombinator.com/launches/OA7-astor-your-personal-ai-investment-analyst",
        "votes": 44,
        "created_at": "2025-08-10T19:24:56.563Z"
      }
    ]
  },
  {
    "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",
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    "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"
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    "jobs": [],
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    "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": 30981,
    "name": "Freeport Markets",
    "slug": "freeport-markets",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7785e7f2104cbe8c0fd7a9462d42a9b03d5aeb86.png",
    "website": "https://www.freeportmarkets.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Freeport is a trading platform for pre-IPO shares, equities, crypto, and perpetual futures. Our AI analysts turn trusted social and financial media into a real-time feed of market-moving news and actionable trade ideas.",
    "one_liner": "Trade Anything",
    "team_size": 3,
    "industry": "Fintech",
    "subindustry": "Fintech -> Consumer Finance",
    "launched_at": 1758671175,
    "tags": [
      "Fintech",
      "Crypto / Web3",
      "Investing",
      "Consumer Finance",
      "AI"
    ],
    "tags_highlighted": [
      "Crypto / Web3"
    ],
    "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,
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    "app_answers": null,
    "question_answers": [
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Freeport makes social media tradable by turning the sources you trust into actionable trades.\r\n\r\nThe core problem is that the earliest market signals now live in human networks and attention flows, not traditional research pipelines. Edge emerges first in Twitter threads, Reddit communities, and other alternative data. In an attention-driven economy, price moves not just on facts, but on what spreads, who amplifies it, and how quickly a narrative captures mindshare. Retail investors feel this most because they lack terminals, coverage, and the bandwidth to monitor dozens of feeds for breaking news, catalysts, and shifts in positioning.\r\n\r\nFreeport productizes the situational awareness workflow that professionals do manually. We turn your trusted sources into a tradable feed by detecting breaking signals, measuring what is gaining attention, cross-checking across media, mapping second-order impacts to assets, and producing inspectable trade cards with evidence and context. The goal is not more content. It is a continuously updated view of what matters right now and what it implies.\r\n\r\nWe are building this because we have lived the gap between trading with full coverage and trading blind. I traded single stock equity derivatives at three major market makers, where analyst coverage, real time news, and a shared view of catalysts and positioning materially improve decisions. In my personal account outside that coverage, it is easy to miss headlines, attention shifts, or key catalysts until price has already moved, and even strong teams cannot monitor everything. My cofounder is deeply technical with experience at Capital One and Huawei, and we are building Freeport to make that level of speed and situational awareness accessible to everyone.\r\n\r\nOur thesis is simple. As attention becomes a primary market input, the winners will be those with an AI layer that turns trusted information and real-time attention into timely, explainable decisions. Freeport keeps you situationally aware so you are always up to date and never late."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "If we succeed, the world changes in one main way: anyone can turn an opinion into a precise market position as easily as posting a thought online. Today that translation is slow and gated. You need context, instrument selection, sizing, execution, and risk controls across fragmented venues. Institutions win because they have teams and systems that continuously do this work.\r\n\r\nFreeport’s long-term vision is to build the on-chain infrastructure that connects information to execution. We turn continuous information processing from an institutional advantage into shared rails so more people can access sophisticated opportunity sets, move faster from belief to position, and trace exactly why a trade exists back to its source and evidence.\r\n\r\nAt the macro level, this improves market quality. Prices are an information system meant to compress dispersed knowledge into signals that coordinate capital. When interpretation is bottlenecked, price discovery is thin and discontinuous. If we democratize the signal to decision workflow with transparent provenance, price discovery becomes deeper and more continuous as more participants act earlier with context. The result is better prices, better capital allocation, and a market closer to decentralized coordination through dispersed knowledge."
      }
    ],
    "url": "https://www.ycombinator.com/companies/freeport-markets",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/freeport-markets.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
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      "name": "Garry Tan",
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    "founders": [
      {
        "user_id": 2929506,
        "full_name": "Lihong Wang",
        "title": "Founder/CEO",
        "founder_bio": "Ex-Jane Street, Ex-IMC Options Trader. Built systematic and discretionary strategies across equities and fixed income.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lihong062/",
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        "user_id": 2929527,
        "full_name": "Bryan Reed",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Freeport",
        "is_active": true,
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    "launches": [
      {
        "id": 94762,
        "title": "Freeport - Intelligent DeFi Investment Platform",
        "tagline": "Earn yield on crypto and build portfolios with AI + human expertise. 🤖🚀",
        "body": "Hey YC! 👋\n\nWe’re Lihong & Bryan, former quant trader and developer, and we are building Freeport Markets (https://freeportmarkets.com) to make DeFi investing more accessible for all. \n\n**TL;DR:** Freeport helps you build a **diversified crypto portfolio** across quality assets, and access the most trusted and l**ucrative opportunities in DeFi** on one page, with one click.\n\n**_Ask_**_:_ Try [freeportmarkets.com](http://freeportmarkets.com) (on desktop with hot wallet) and give us feedback! Connect us with student orgs or other groups who can help us with distribution. Our ICP are crypto-adjacent folks who keep most of their crypto on Robinhood/Coinbase. Check out our fun promo vid 👇https://www.youtube.com/watch?v=TWZTB_r_jO4\n\n### **❌ Problem**\n\nMost investors’ crypto portfolios suffer from the follow issues: \n\n* **Leaving Yield on the Table:** Easy and safe 4-8% extra returns a year from staking / conservatively lending crypto assets that they already own.\n* **Under-diversified:** Portfolios are often just BTC/ETH, which can underperform the crypto market. (No one buys a single stock as a “portfolio”; why a single token?)\n* **Paying Unnecessary Fees:** Coinbase/Robinhood takes a massive cut out of yields, don’t let you lend/borrow at market rates, and have high trading fees.\n\n**Net:** The best opportunities are in DeFi, but people miss out on common-sense optimization, true diversification, and lower fees, because DeFi is fragmented and confusing.\n\n**💰Our Solution** \n\n* **Unify DeFi in One Place:** Freeport integrates trusted protocols on one page.\n\n![uploaded image](/media/?type=post&id=94762&key=user_uploads/2929506/f7aad792-d924-4859-aaeb-f992dfb18b5d)\n\n* **Signal Over Noise:** We separate **treasure from trash** with a rigorous screening framework (see below) so nothing you buy here is a scam / rugpull.\n\n![uploaded image](/media/?type=post&id=94762&key=user_uploads/2929506/8cdbb09d-c8b3-4aef-98e1-e483ac16a014)\n\n* **Yield on Resting Assets:** Put idle holdings to work in battle‑tested & audited opportunities with transparent sources of return.\n\n![uploaded image](/media/?type=post&id=94762&key=user_uploads/2929506/d4c8feb7-9589-48ab-9e8b-a5708f1d0899)\n\n* **Real Diversification:** Allocate across chains, sectors, and risk factors in a single, simple flow using a framework supported by rigorous statistical inference (see below)\n\n \n\n![uploaded image](/media/?type=post&id=94762&key=user_uploads/2929506/936963cf-a58a-48f1-8d6b-611da05e7433)\n\n* **No Management Fees + Lowest Trading Costs:** We find the best possible path to route your order to minimize slippage and MEV (see below).\n\n🏦**Our Mission**\n\nBring value and science-based “quantamental” investing to crypto, so people view it as the legitimate long-term asset that it is, not a day-trader’s playground. We combine rigorous screening and factor/sector diversification to filter noise and compound value over time.\n\n**⛵Chart Your Course With Freeport** \n\n* Freeport is made for all long-term investors who want durable yield, smartly diversified portfolios, and explainable risk that drives compounding returns. \n* Get started today at [**freeportmarkets.com**](http://freeportmarkets.com), share us with friends who may be interested, and let us know about bugs / feature requests that you may have! \n* Reach us at [lihong.wang@freeportmarkets.com](mailto:lihong.wang@freeportmarkets.com) & [bryan.reed@freeportmarkets.com](mailto:bryan.reed@freeportmarkets.com).\n\n \n\n### **⚙️Appendix: How It Works**\n\n* [**Research-Backed Curation**](https://www.freeportmarkets.com/reference/Investable%20Universe%20Methodology.pdf)**:** To ensure that tokens that we support are legitimate, we operate inside only the top 250 by market cap and screen for real tradability. \n* [**Economic Diversification**](https://www.freeportmarkets.com/reference/Digital%20Asset%20Taxonomy.pdf)**:** We classify assets by their orthogonal drivers of returns: Settlement (execution/scaling vs. monetary), Infrastructure & Interoperability, DeFi/CeFi, Culture & Entertainment, DePIN & Resources, plus Stablecoins & RWA. \n* [**Factor Tilts**](https://www.freeportmarkets.com/reference/Quantitative%20Framework.pdf)**:** We track seven factors, market, size, value, momentum, growth, downside beta, liquidity, and prioritize momentum (best out-of-sample), with value & growth as corroborating signals; low-to-moderate correlations improve diversification.\n\nWe pair a disciplined universe + sector taxonomy with data-driven quantitative factors + human-expertise to construct recommendations and strategies that moves portfolios away from single-asset concentration toward repeatable, explainable, multi-factor returns, at [**freeportmarkets.com**](http://freeportmarkets.com)**.**",
        "url": "https://www.ycombinator.com/launches/OeQ-freeport-intelligent-defi-investment-platform",
        "votes": 141,
        "created_at": "2025-10-20T14:16:38.770Z"
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    "name": "Multiplier",
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    "all_locations": "New York City, NY, USA",
    "long_description": "Multiplier helps institutional investors research stocks and manage their portfolios. We're live with six hedge funds, and our users spend 4+ hours a day in the platform.\r\n\r\nInvestors who try \"nearly every tool on the market,\" to quote a client of ours, \"wind up with an unwieldy collection of fragmented point solutions.\" Those who focus on building a great setup with general agents are instead \"signing up for a full-time job.\" So we deploy a platform called Multiplier that unifies structured data, unstructured data, AI work, human work, and tacit firm knowledge in one secure, governed, customized application.\r\n\r\nOur first vertical: independent equity funds with $250M-$5B of assets. They know AI is essential for staying relevant, but they don't have the time or talent to figure out what to do about it. But once we deploy Multiplier––\"We used to spend 80% of our time gathering information and 20% of our time acting on it,\" said one customer. \"Multiplier has flipped those percentages.\"",
    "one_liner": "Agent harnesses for asset managers",
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    "year_founded": 2026,
    "city": "New York City",
    "country": "US",
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      "url": "https://www.ycombinator.com/people/david-lieb"
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        "user_id": 3405246,
        "full_name": "Ian McInnis",
        "title": "Founder/CEO",
        "founder_bio": "Princeton Mathematics, 4.0, Shapiro Prize, Behrman Fellow, ΦΒΚ early election, ΣΞ induction & outstanding research award, researcher (check ArXiV), novelist (check nowhere) | Investor and builder of LLM investment systems at Bridgewater Associates, the world's largest hedge fund | Classically trained Shakespearean actor\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/imj-mcinnis/",
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      {
        "user_id": 3276162,
        "full_name": "Benjamin Finch",
        "title": "Founder/CEO",
        "founder_bio": "Before WithAI, Ben was the founding researcher and chief of staff at unicorn AI lab Sentient. He oversaw prompt security and multi-agent coordination work and built a million-strong community.\n\nHe received a bachelor's and a master's in Electrical and Computer Engineering Magna Cum Laude from Princeton, writing acclaimed theses on solar power investment and a novel blockchain design to solve coordination issues in Energy. He grew up in Maryland, Mongolia, Kenya, and Indonesia.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ben-finch-3a82471b5/",
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        "id": 110696,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/multiplier/jobs/FULAL7W-founding-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $300K",
        "equity_range": "1.00% - 4.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 101275,
        "title": "WithAI – Custom command centers for hedge funds",
        "tagline": "We help institutional investors research stocks and track their portfolio using AI.",
        "body": "We're Ian and Ben, co-founders of WithAI. WithAI helps institutional investors use AI to research stocks and manage their portfolios. We forward-deploy to set up Multiplier, a secure platform that teaches AI how the fund works and connects it to all the needed tools, files, data, and context, so that investors can use the full strength of today's agents without taking on a second job as Claude-wrangler. After three months, we're live with multiple clients, doing &gt;$100k ARR. If you know a fundamental equity investor, we'd love to meet them. Email [ian@withai.co](mailto:ian@withai.co).\n\n<https://www.youtube.com/watch?v=S_ZhD9Y60GQ>\n\nAI has radically transformed coding. But in finance, super-sharp, highly-paid people are spending 2026 combing through an inbox full of PDFs, updating models in Excel, and eyeballing Bloomberg charts. Multiplier packages everything necessary to change that! It includes secure inference endpoints, changelogs, ontology maintainance, guardrails, and VM infrastructure, and it's all hosted on client servers. With a mix of open-source protocols and WithAI elbow grease, Multiplier connects to all the research, tools, and data used at a given firm. We conduct face-to-face interviews so we can give AI the tacit knowledge it needs to work at _your fund specifically_; gaps get filled by user feedback to the AI. Our interface––more like an IDE than a collection of chatboxes––makes oversight, guidance, and participation natural. Early clients have called Multiplier \"a tremendous proprietary knowledge flywheel\" and \"hugely insightful, a massive force multiplier.\" (In fact, that's where we got the name.) \n\nBen and Ian became fast friends building a deeptech investment group together (still going strong) and reunited because they'd independently hit on this idea. Ben, working on enterprise AI as founding researcher at Sentient Labs, saw what stopped his clients from accelerating like his engineers and wanted to productize the solution for the industry he knew best––investing. Ian, (profitably) overseeing an (undisclosably large) equity book at Bridgewater Associates, hacked together AI tools to help himself. They had a call to catch up one night and were spooked how they'd come to the same ideas.\n\nIf you know someone who picks stocks for a living (at a hedge fund, mutual fund, family office, etc.), we'd love to meet them. Get in touch at [ian@withai.co](mailto:ian@withai.co). Thanks so much!",
        "url": "https://www.ycombinator.com/launches/QLT-withai-custom-command-centers-for-hedge-funds",
        "votes": 35,
        "created_at": "2026-05-13T06:18:37.854Z"
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    "id": 31923,
    "name": "tash",
    "slug": "tash",
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    "website": "https://www.tradetash.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "tash is building the investment platform for sports and trading cards. We create professionally constructed portfolios of iconic, investment-grade cards, giving investors exposure to the asset class without the hassle of selecting, buying, storing, and selling individual cards.\r\n\r\nTrading card investing remains fragmented, opaque, and difficult to access. tash is building the infrastructure to make the asset class simpler, more transparent, and professionally managed. We are currently pursuing SEC qualification to launch regulated investment offerings backed by trading cards.",
    "one_liner": "The S&P of Trading Cards",
    "team_size": 4,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1785522137,
    "tags": [
      "Consumer",
      "Investing"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/tash",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/tash.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tash-cards/",
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      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 3101812,
        "full_name": "John Ohannesian",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder @ tash, Ex-IB & UC Berkeley, working towards bringing collectibles to the public markets ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/johnohannesian/",
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        "full_name": "Nathan Borshell",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder at tash (S26). Previously at UBS Global Markets and Seso. Economics and Data Science at UC Berkeley.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nathanborshell/",
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        "user_id": 3232492,
        "full_name": "Victor Shammas",
        "title": "Founder/CPO",
        "founder_bio": "UC Berkeley Business & Data Science, Co-Founder @ tash, building the public markets for collectibles.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/victorshammas/",
        "x_url": "https://x.com/victorshammas",
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      },
      {
        "user_id": 3063171,
        "full_name": "Nicolas Sharma",
        "title": "Founder/COO",
        "founder_bio": "Co-Founder @ tash. Previously at J.P. Morgan and Capgemini. Econ + Business + Data Science at UC Berkeley.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nicolas-sharma/",
        "x_url": "https://x.com/nico_sharma",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2e299adf7def9e2b63edc2ed408d2da52f937ade.jpg"
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    "launches": [
      {
        "id": 109453,
        "title": "tash - Making the world’s most iconic trading cards investable",
        "tagline": "Building the financial infrastructure to bring collectibles into public markets. Starting with trading cards.",
        "body": "**A $50B+ asset class is still being invested in one card at a time. We’re building the investment platform for trading cards.**\n\n**TL;DR:** tash gives investors access to professionally curated portfolios of high-end graded trading cards. tash manages sourcing, verification, vaulting, reporting, and the eventual sale of the underlying assets.\n\n[https://drive.google.com/file/d/1bszOZp6uTWIgG29grz1oxflgInfEvpD6](https://drive.google.com/file/d/1bszOZp6uTWIgG29grz1oxflgInfEvpD6/view)\n\n## The problem\n\nTrading cards have evolved into a global asset class supported by professional grading, extensive sales data, insured vaulting, and multimillion-dollar transactions.\n\nBut investing has barely changed.\n\nToday, investors still have to research, source, price, verify, store, track, and eventually resell every card individually. Building diversified exposure often means becoming a part-time card dealer.\n\nReal estate has REITs. Gold has ETFs. Equities have index funds.\n\nThe asset class exists. The investment product does not.\n\n## What tash does\n\ntash builds professionally managed trading card portfolios around distinct parts of the market.\n\nInitial portfolios range from broad market exposure through the tash25 Index to focused strategies like GOATs, Rising Stars, Vintage, Pokémon, and TCGs.\n\nInvestors gain diversified exposure while tash manages sourcing, verification, secure vaulting, insurance, reporting, and the eventual sale of the underlying cards.\n\ntash is actively pursuing SEC qualification to make these products available to more investors.\n\n## Why us\n\nWe grew up collecting cards and never stopped.\n\nVictor, Nathan, and John met in high school before attending UC Berkeley, where they met Nico and became roommates. Together, we have bought and sold more than $1M of trading cards and collectibles.\n\nOur professional experience spans finance, data, and marketplaces, alongside years spent buying at card shows, negotiating, tracking prices, and studying the market.\n\n## The broader vision\n\nTrading cards are the starting point.\n\ntash is building the financial infrastructure needed to bring the broader $330B+ collectibles market into public markets, making cultural assets easier to access, evaluate, and invest in.\n\nInterested in investing in trading cards? Reach out to the team or join the waitlist at [**tash.cards**](http://tash.cards).\n\nContact: [founders@tash.cards](mailto:founders@tash.cards)\n\n_For discussion purposes only. This is not an offer to sell or a solicitation to purchase securities. Any offering will be made solely through definitive offering documents and in accordance with applicable securities laws. Investments involve risk, including possible loss of principal._",
        "url": "https://www.ycombinator.com/launches/STN-tash-making-the-world-s-most-iconic-trading-cards-investable",
        "votes": 7,
        "created_at": "2026-08-06T20:32:51.338Z"
      }
    ]
  },
  {
    "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": [
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        "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.",
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        "full_name": "Yuhua Wang",
        "title": "Founder/CTO",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yuhua-w-64348a66",
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        "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&amp;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<https://youtu.be/wkT96INB3RA>\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"
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    "id": 32257,
    "name": "Spectre Intelligence",
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    "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. ",
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    "industry": "Fintech",
    "subindustry": "Fintech -> Asset Management",
    "launched_at": 1787421048,
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    "country": "US",
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        "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/",
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      {
        "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/",
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        "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&amp;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 <https://www.spectreintelligence.ai/experts>",
        "url": "https://www.ycombinator.com/launches/T8T-spectre-intelligence-a-neotrading-firm",
        "votes": 5,
        "created_at": "2026-08-24T15:47:00.614Z"
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    "name": "LATO",
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    "website": "https://www.latolabs.io/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The best investments come from conviction, and conviction comes from understanding a market deeply: its customers, its competitors, and where it's heading.\r\n\r\nToday that understanding is slow and expensive to build. Reaching the right people takes weeks, a commercial study costs $300k+, and each one starts from scratch.\r\n\r\nLATO does this research end-to-end, combining public data and the fund's own knowledge with first-hand interviews of a market's consumers, experts, and operators. \r\n\r\nThis research grounds a simulation of the market to predict how market participants behave.",
    "one_liner": "Predict how market participants behave",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
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      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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        "full_name": "Tymek Staniszewski",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder at LATO - we predict how market participants behave\nPreviously 6 years in private equity at Verdane ($11B AUM)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tymeks/",
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        "user_id": 2539014,
        "full_name": "Tien Chu",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder at LATO (S26), the agent-native research and simulation platform for investors. Previously ML and SWE across enterprise R&D, research labs, and early-stage startups. Studied CS, Math, and Philosophy at University of Warsaw.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chutien/",
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        "id": 110614,
        "title": "LATO - Research any company or market in days",
        "tagline": "LATO enables private equity investors to do commercial due diligence in days",
        "body": "[ ](https://youtu.be/1I4wuRJqanE)\nThis year alone, private equity deployed over $1 trillion. To get conviction on a deal, investors run commercial diligence - it costs c.$500k and takes weeks.\\\n\\\nOur agents source and interview hundreds of experts in any language at scale.\\\nThey combine this expert knowledge with public and proprietary data to deliver fully traceable reports.\\\n\\\nWe already work with leading funds that push the frontier.\n\nIf you are spending too much time and capital on this - schedule a demo at: <https://www.latolabs.io/book>\\\n\\\nWe'd love to show you how the future looks.",
        "url": "https://www.ycombinator.com/launches/Sm6-lato-research-any-company-or-market-in-days",
        "votes": 20,
        "created_at": "2026-08-17T19:00:00.215Z"
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    "id": 32749,
    "name": "Arbital",
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    "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": [
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    "batch": "Summer 2026",
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    "industries": [
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    "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/",
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        "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/",
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      {
        "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/",
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      {
        "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<https://youtu.be/gzAA55qcWzA>\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 &lt;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:** <https://www.arbital.xyz/>\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": 32816,
    "name": "Financial Datasets",
    "slug": "financial-datasets",
    "former_names": [
      "Financial Datasets, Inc."
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    "website": "https://financialdatasets.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Financial Datasets is an applied AI research lab building search and data infrastructure for agents, starting with financial markets.\r\n\r\nWe turn filings, company disclosures, and market data into structured, searchable information - helping agents find relevant facts, answer financial questions, and monitor markets in real time.\r\n\r\nFor 40 years, market data was built for people reading screens. We're rebuilding it for agents that research every company, all day, across the world.",
    "one_liner": "Connect your agents to the stock market ",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1786382003,
    "tags": [
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      "Investing",
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    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
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      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
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        "user_id": 2001420,
        "full_name": "Virat Singh",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Financial Datasets. 90,000+ stars on financial agent projects on GitHub.  Previously tech lead at Faire, building search recommendations. Earlier software engineer at Airbnb (Payments, Search) and Acorns. Started career in buy-side M&A",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/singhvirat/",
        "x_url": "http://twitter.com/virattt",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9302e20b46784f462363671342e35fdaf1f8e9e3.jpg"
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    "jobs": [],
    "news": [
      {
        "title": "The 10 Best Financial APIs for AI Coding Tools (2026)",
        "url": "https://medium.datadriveninvestor.com/the-10-best-financial-apis-for-ai-coding-tools-2026-21b4caeec56e",
        "date": "Jun 18, 2026"
      }
    ],
    "launches": [
      {
        "id": 110463,
        "title": "Financial Datasets: Stock market data for AI agents",
        "tagline": "The best way to connect your agent to the stock market",
        "body": "Hey all,\n\nVirat here, founder of [Financial Datasets](https://financialdatasets.ai/) (S26).\n\nWe make it easy for your agents to access live market data for 27,000+ global stocks through a clean and predictable API.\n\nToday, hedge funds and companies building finance agents use [Financial Datasets](https://financialdatasets.ai/) as their market data layer. We are trusted by 1,000+ customers, serving millions of requests daily.\n\n<https://www.youtube.com/watch?v=iV0N0sjZtjk>\n\n**The problem**\n\nBloomberg, FactSet, and S&amp;P spent 30 years building market data for humans staring at terminals. The entire stack assumes an analyst in the loop to interpret and verify the numbers.\n\nAgents can't use that stack. Instead, they need machine-readable schemas, natural language search, and a citation back to the source document. None of the incumbent infrastructure was built for the AI era.\n\n**What we built**\n\nThe only market API your agent needs:\n\n* A single place for your agent to gather all of its market data: fundamentals, earnings, KPIs, SEC filings, ownership, pre-IPO financials, prices, and more.\n* Live in seconds, not minutes. Financial data is parsed, structured, and queryable seconds after companies publish them.\n* Benchmarked against ground truth at 99.99% precision. Anything below that bar never reaches the API, so your agent never sees bad data.\n* Delivered over REST, an MCP server, and webhooks. Works out of the box with Claude, ChatGPT, Hermes, and OpenClaw.\n\nYou can ship our data inside your own product. Redistribution included, no per-seat pricing, no anti-AI usage restrictions.\n\n**The team**\n\nI'm Virat, founder of [Financial Datasets](https://financialdatasets.ai/). I have spent 14 years working as a software engineer at tech companies like Acorns, Airbnb, and Faire.\n\nI started Financial Datasets after getting frustrated by how difficult it was to give my agents high quality, real-time stock market data.\n\nI have been building finance agents since 2022 and posting about it daily on [X](https://x.com/virattt). My two open source projects, ai-hedge-fund (60K stars) and Dexter (27K stars), are used by professional and retail investors today.\n\n**Our ask**\n\nIf you’re building agents that touch the market, I’d love to chat. You can also try [Financial Datasets](https://financialdatasets.ai/) right now - it takes 30 seconds to set up and pull data from our API.",
        "url": "https://www.ycombinator.com/launches/Sjf-financial-datasets-stock-market-data-for-ai-agents",
        "votes": 6,
        "created_at": "2026-08-19T20:00:00.465Z"
      }
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  },
  {
    "id": 33048,
    "name": "Pennant",
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    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7fbb4be6497bcd38a1210a0561cf3eb84422ab32.png",
    "website": "https://www.getpennant.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Led by former institutional proxy voters and technologists with a collective 20+ years of experience, Pennant gives institutional investors, public companies, and corporate advisors voting and governance intelligence to act on their own principles at scale.",
    "one_liner": "The World Model for Corporate Governance",
    "team_size": 2,
    "industry": "Fintech",
    "subindustry": "Fintech -> Asset Management",
    "launched_at": 1786584832,
    "tags": [
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      "Investing",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/pennant",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/pennant.json",
    "year_founded": 2026,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/pennant-ai",
    "x_url": "https://x.com/pennant_ai",
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    ],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 3388610,
        "full_name": "Ryan Nowicki Stewart",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder at Pennant. 10+ years asset management, proxy voting & shareholder activism industry experience across PJT, State Street and BlackRock. Palantir Startup Fellowship Cohort 002. Cornell U. Economic Club of NY. Hoover Institution.\n\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ryan-nowicki-stewart/",
        "x_url": "https://x.com/rywicks",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2ce9a1682e6222638bce37b0d89bdf0e78b7aeb8.jpg"
      },
      {
        "user_id": 473596,
        "full_name": "Tomas Taylor",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder at Pennant. Previously PM at BlackRock. Founded Mindware, an agent tooling infrastructure startup, before MCP. Also co-founded ClawCon, the fastest-growing community for Personal AI.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tomastaylor",
        "x_url": "https://x.com/0xtotaylor",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cf9b1177e1c0378455a6b6503c630ed7aed90706.jpg"
      }
    ],
    "jobs": [
      {
        "id": 111722,
        "title": "Founder Fellow - GTM, Growth & Strategy",
        "url": "https://www.ycombinator.com/companies/pennant/jobs/21lflHF-founder-fellow-gtm-growth-strategy",
        "location": "New York, NY, US",
        "type": "Internship",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": [
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          "Figma",
          "Evals",
          "AI Agents",
          "AI Safety",
          "Generative AI"
        ]
      },
      {
        "id": 111727,
        "title": "Founder Fellow - Applied AI",
        "url": "https://www.ycombinator.com/companies/pennant/jobs/eUFGOW1-founder-fellow-applied-ai",
        "location": "New York, NY, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": [
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          "Node.js",
          "PostgreSQL",
          "Python",
          "TypeScript",
          "SQL",
          "Prompt Engineering",
          "LLMs",
          "Evals",
          "AI Agents",
          "BigQuery",
          "Generative AI",
          "OpenAI",
          "LangSmith"
        ]
      },
      {
        "id": 111752,
        "title": "Founding Engineer, Data & AI",
        "url": "https://www.ycombinator.com/companies/pennant/jobs/z6mIB9W-founding-engineer-data-ai",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $250K",
        "equity_range": "0.25% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Go",
          "Google Cloud",
          "Kubernetes",
          "Node.js",
          "PostgreSQL",
          "Python",
          "TypeScript",
          "SQL",
          "Docker",
          "ETL",
          "gRPC",
          "Terraform",
          "LLMs",
          "AI Agents",
          "LangChain",
          "BigQuery",
          "Generative AI",
          "NestJS",
          "OpenAI",
          "LangSmith",
          "Datadog"
        ]
      },
      {
        "id": 111753,
        "title": "Founding Engineer, Product",
        "url": "https://www.ycombinator.com/companies/pennant/jobs/Y5USzcY-founding-engineer-product",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.25% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Google Cloud",
          "Node.js",
          "PostgreSQL",
          "React",
          "TypeScript",
          "SQL",
          "Next.js",
          "LLMs",
          "AI Agents",
          "Generative AI",
          "NestJS",
          "Vercel",
          "Playwright",
          "OpenAI",
          "LangSmith",
          "Datadog"
        ]
      }
    ],
    "news": [
      {
        "title": "EP28: Proxy Voting Is Always On: Pennant’s Ryan Nowicki Stewart on AI-Native Proxy Voting",
        "url": "https://www.thefundaipod.com/episodes/episode/33ed71e2/ep28-proxy-voting-is-always-on-pennants-ryan-nowicki-stewart-on-ai-native-proxy-voting",
        "date": "Oct 13, 2026"
      },
      {
        "title": "AI tools emerging in proxy voting - Pensions & Investments",
        "url": "https://www.pionline.com/technology-innovation/artificial-intelligence/pi-ai-tools-emerging-proxy-voting/",
        "date": "Oct 04, 2026"
      },
      {
        "title": "START: Ryan Nowicki Stewart, CEO & Co-Founder, Pennant: \"The Corporate Governance OS for Public Markets\" | Fondo",
        "url": "https://fondo.com/blog/start-ryan-nowicki-stewart?utm_term=ryan-nowicki-stewart-pennant&utm_campaign=10061329-Startup%20Growth%20Podcast&utm_content=386749028&utm_medium=social&utm_source=twitter&hss_channel=tw-1843505047692554240",
        "date": "Sep 30, 2026"
      },
      {
        "title": "Boardroom Governance - Ryan Nowicki Stewart",
        "url": "https://podcasts.apple.com/in/podcast/ryan-nowicki-stewart-ceo-pennant-ai-ai-proxy-voting/id1513064579?i=1000792196213",
        "date": "Sep 29, 2026"
      },
      {
        "title": "Cornell University: Successful Alumni Who Founded Startups - TechRound",
        "url": "https://techround.co.uk/startups/cornell-university-successful-alumni-who-founded-startups/",
        "date": "Sep 25, 2026"
      }
    ],
    "launches": [
      {
        "id": 110156,
        "title": "Pennant - The Corporate Governance OS for Public Markets",
        "tagline": "AI-native proxy voting and governance intelligence, built by the team who used to do it by hand.",
        "body": "**TL;DR:** Pennant is building AI-native proxy voting solutions for institutional investors, public companies, and their advisors. We’re live with paying enterprise customers, including one of the largest US public pension plans, a Top AmLaw 100 firm, and leading governance advisors. Before Pennant, our team built trillion-dollar tech at BlackRock, cast proxy votes at State Street, and advised Fortune 100 boards at PJT.\\\n\\\n[https://drive.google.com/file/d/1_WDs1VB213EcPS5caE5XK7L6UkZLz07l](https://drive.google.com/file/d/1_WDs1VB213EcPS5caE5XK7L6UkZLz07l/preview)\n\n**The problem:** Proxy voting at publicly traded companies drives trillions in market value every year. Shareholder votes decide $100B mergers, trillion-dollar pay packages, and the boardroom battles that define companies.\n\nYet the work is brutally manual: reviewing thousands of pages of SEC filings, research, and engagement notes that live in a patchwork of PDFs, spreadsheets, and post-it notes. And for professional advice, the market has relied on two firms, ISS and Glass Lewis, for 40+ years, a duopoly that controls 97% of the market.\n\n**Why Now:** Technological change and market sentiment are ripping this market wide open.\n\nCEOs have been sounding the proxy-advisor alarm for years:\n\n![uploaded image](/media/?type=post&id=110156&key=user_uploads/3388610/45604eff-9d48-4271-90ed-b3bf6000b461)\n\n![uploaded image](/media/?type=post&id=110156&key=user_uploads/3388610/a5232d8f-91b7-44bd-8116-f0d251b764d0)\n\nAnd now big investors and the White House are taking action.\n\n![uploaded image](/media/?type=post&id=110156&key=user_uploads/3388610/12da7f65-6e5c-4e57-b2d5-76c18fac1fcf)\n\n![uploaded image](/media/?type=post&id=110156&key=user_uploads/3388610/00e9661e-2b7e-414d-8c2c-f4d4f47b8b55)\n\n![uploaded image](/media/?type=post&id=110156&key=user_uploads/3388610/47c99681-6ca9-484b-ab33-102a4021cd92)\n\nJPMorgan is even building its own solution. But 99% of the investors, companies, and advisors we talk to don't want to own this themselves, or don't have the resources to. That's where Pennant comes in, and it's why we're winning business out of the gate.\\\n\\\n**Why Pennant is better:** Pennant isn't a better proxy advisor. We're building something bigger: the AI-native operating system for corporate governance, built by former proxy voters and technologists, a team that cast these votes and shipped the software at institutional scale.\n\nPennant gives institutional investors, and the advisors and companies they engage with, voting and governance intelligence to act on their own principles at scale. Legacy tools follow rigid rules; Pennant reasons through each ballot item, inbound email, and engagement question the way your team would, handling the clear calls and flagging the nuanced ones, keeping people in the driver's seat.\n\nAs one of our customers put it last week, “\\[incumbent xyz\\] can handle our routine stuff for another year, but we’re thrilled to use Pennant for the custom heavy-lifting that we’ve been wanting to do for a long time, and use you for everything from there.”\n\nPennant also serves the other side of the vote: public companies, law firms, and bankers who need to read their shareholder base and predict risk before the annual meeting. Same data, bigger market. The market at the intersection of investing and corporate governance is estimated at well over $200 billion, and it remains largely unserved by today's tools.\n\n**Traction:** Pennant is live with paying enterprise customers, including one of the largest US public pension plans, a Top AmLaw 100 firm, and leading governance advisors. We're partnered with a top global asset manager as a design partner and are actively engaged with S&amp;P 500 companies. Before YC S26, Pennant was selected for Palantir's Startup Fellowship (Cohort 002).\n\n**Why us:** We've known each other for 15 years, since our undergrad days at Cornell, and started our careers on the same analyst desk at BlackRock building tech products for these exact customers. We have a rare pairing: direct industry experience as the customer, plus the engineering chops to ship fast and earn trust.\n\nAfter BlackRock, Ryan (CEO) was the customer for 6+ years, voting proxies at 3,000+ company meetings and advising Fortune 100 companies on how to win critical votes at PJT Partners. He used Glass Lewis and ISS every day.\n\nTommy (CTO) took the technical path, shipping products at BlackRock before earning his Harvard MBA and founding Mindware, where he built workflow-ready infrastructure for AI agents. He was building agentic AI before \"agents\" were hot, and Pennant is where his engineering background meets Ryan's proxy-voting expertise.\n\n**Our ask:** If you own or touch proxy voting as an investor, advisor, or public company, we want to talk: <https://calendly.com/ryan-getpennant/30min>\n\nLearn more at [getpennant.ai](http://getpennant.ai)\n\n![uploaded image](/media/?type=post&id=110156&key=user_uploads/3388610/d8fefc8c-cf1c-4ef8-a175-f112644f9ca7)\n\n",
        "url": "https://www.ycombinator.com/launches/Sei-pennant-the-corporate-governance-os-for-public-markets",
        "votes": 19,
        "created_at": "2026-08-12T18:30:00.287Z"
      }
    ]
  }
]
