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        "id": 115741,
        "title": "Conviction - Trading Desk in Your Pocket",
        "tagline": "Turn ideas into trades in seconds ",
        "body": "Hey everyone!\n\nWe’re Aria &amp; Tony, co-founders of Conviction. We spent much of college experimenting with our own trading strategies. We became obsessed with one question: why should sophisticated trading tools only be accessible to Wall Street?\n\n**TL;DR:** Describe a trading idea in natural language. Conviction tests it on historical data and deploys an AI agent that trades on your behalf.\\\n\\\n<https://youtu.be/Pdqy2_8Red8>\n\n**The Problem**\n\nMost people don't have time to stare at charts all day. \n\nBut trading ideas show up everywhere: On Reddit. In the news. On X. YouTube. TikTok.\n\nThe hard part is separating signal from noise and acting in time. \\\n\\\n**Our solution**\n\nConviction gives everyday investors access to the kind of research, testing, and execution tools that were once built primarily for professional trading desks.\n\n### **How it works**\n\n1. **Start with an idea**\\\n   Describe a trading thesis or discover one from the market.\n2. **Research it instantly**\\\n   Conviction pulls from SEC filings, financial news, market data, X, Truth Social, Reddit, earnings, and other signals to help you build the strategy.\n3. **Test before you trade**\\\n   Backtest your strategy against historical market data in seconds and see how it would have performed.\n4. **Try it with fake money in the real market**\\\n   Paper trade the strategy live before putting real capital behind it.\n5. **Deploy when you are ready**\\\n   Connect your brokerage and put your strategy to work.\n6. **Let your agent watch the market for you**\\\n   Your AI agent continuously monitors market data, technical indicators, news sentiment, SEC filings, earnings, social signals, and more, then acts when your conditions are met.\n\nInstitutions have always been one step ahead. Our mission is to bridge that gap and bring those tools to you.\n\n**Start trading here:** [convictiontrade.ai](http://convictiontrade.ai)\n\n**Questions?** Email us here: [founders@convictiontrade.ai](mailto:founders@convictiontrade.ai)\n\n**Join our Discord** to be part of the Conviction community. Get access to exclusive offers, swag, product updates, and opportunities to help shape what we build next: <https://discord.gg/cx27rUVeF>\n\n**Our ask:** Traders, future traders, market obsessives. Send this to your people.",
        "url": "https://www.ycombinator.com/launches/U6n-conviction-trading-desk-in-your-pocket",
        "votes": 1241,
        "created_at": "2026-09-16T23:25:03.321Z"
      },
      {
        "id": 92824,
        "title": "Parachute: Evaluate, Deploy, and Monitor Clinical AI",
        "tagline": "We enable hospitals to adopt AI safely and at scale",
        "body": "Hey everyone!\n\nWe’re Aria & Tony, co-founders of Parachute – the end-to-end governance infrastructure that helps hospitals adopt AI safely and at scale. \n\n**TL;DR:** \n\nParachute helps health systems evaluate, deploy, and monitor every AI tool they touch – whether it’s an Epic plug-in, vendor model, or in-house imaging model.\n\nhttps://youtu.be/tRvaL0LaWOI?feature=shared\n\n**Why we built this**\n\nDuring our time spent deploying AI at Columbia University Irving Medical Center (CUIMC), we kept seeing the same issues:\n\n* 2,000+ clinical AI tools have hit the market\n* New rules (HTI-1, Colorado AI Act, CA SB 3030, White House AI Action Plan) demand auditable proof of safety, equity, and efficacy\n* Lean IT teams can’t possibly vet and watch every model, and a single failure can cost lives and trigger seven-figure settlements\n\nGreat innovations die in pilot hell because the infrastructure to deploy AI tools simply does not exist.\n\nThat’s why we built Parachute and why CUIMC now uses it to track live models in real time.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfMeMr6DgcDfTSH91cRA9KtSS09A-U2M58jcX1CTXsbPw7Ud6BHvJcCpmNCjMdLr81Nsd2w887yyYtaGkNny9DtSgWATBs8qekupLkiRfuj4WlU33gbaf9u5hCBcgUypKIjh6yFlA?key=tv4NvQsH04_CHvpgP40CGw)\n\n🪂 **How Parachute works** \n\n**1. Vendor discovery and vetting**\\\nAI agents map the hospital’s gaps and goals to the best AI tools on the market, while our review engine flags any compliance issues in vendor documentation.\n\n**2. State-of-the-art benchmarking and evaluations**\\\nOur automated scoring and stress testing helps decision makers identify the best-fit options.\n\n**3. Real-time observability**\\\nOnce a tool is adopted, Parachute monitors it from inception through post-deployment. We automate real-time tracking of performance, drift, and bias – alerting you the moment any metric slips below threshold.\n\n**4. Immutable audit trail**\n\nEvery approval, test, change, and runtime metric around a model is documented and audit-ready for regulators.\n\n**Call to action**\n\nHospital leaders: Want stalled pilots live before 2026, access to the world’s best AI tools, an audit-proof evidence trail and hands-free monitoring? \n\nAI vendors: Want your product listed in the only marketplace that maps directly to hospital gaps and compliance needs?\n\nReach us at [founders@parachute-ai.com](mailto:founders@parachute-ai.com) or book a meeting [here](https://calendly.com/founders-parachute-ai/30min). \n\nFor more information visit: [parachute-ai.com](http://parachute-ai.com)\n\n**Launch Offer**\n\nYC AI companies: 50% off a marketplace listing.",
        "url": "https://www.ycombinator.com/launches/O9A-parachute-evaluate-deploy-and-monitor-clinical-ai",
        "votes": 92,
        "created_at": "2025-08-07T17:37:45.177Z"
      }
    ]
  },
  {
    "id": 31343,
    "name": "Multiplier",
    "slug": "multiplier",
    "former_names": [
      "WithAI"
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    "website": "https://multiplier.ai",
    "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",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1778527074,
    "tags": [
      "Fintech",
      "Productivity",
      "Investing",
      "AI",
      "Stocks"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": true,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/multiplier",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/multiplier.json",
    "year_founded": 2026,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/multiplier-dot-ai",
    "x_url": "https://x.com/_Multiplier",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/multiplier-dot-ai",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7c1a5b7f1d0f6a85da016ccad1a5a0cec81c513.png",
    "app_video_url": null,
    "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/79/1781645150-40a75297eede8b140ca4005efd3859a0/96293f30e6e1ed95c3d463175df9c467.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022736Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=1e458b31dfa3aec5dfd0c55f587b68824f5f7b83c3801b5c1dfc6990b8d43064",
    "company_photos": [],
    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "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/",
        "x_url": "https://x.com/imjmcinnis",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9a9bbc8fb17bdf5e1597f1a1aa3638035b3b56b9.jpg"
      },
      {
        "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/",
        "x_url": "https://x.com/btsfinch",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/46d8e5822a34f0ebbfc14618ae6798a9d6de0bbb.jpg"
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    ],
    "jobs": [
      {
        "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",
        "skills": [
          "AI Agents"
        ]
      }
    ],
    "news": [],
    "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"
      }
    ]
  },
  {
    "id": 32816,
    "name": "Financial Datasets",
    "slug": "financial-datasets",
    "former_names": [
      "Financial Datasets, Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4b4bdae68fdd8f9d994fab11fca6b30709eb7e7c.png",
    "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": [
      "Fintech",
      "Investing",
      "AI",
      "Stocks"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/financial-datasets",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/financial-datasets.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/financial-datasets",
    "x_url": "https://x.com/findatasets",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4b4bdae68fdd8f9d994fab11fca6b30709eb7e7c.png",
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    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "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"
      }
    ],
    "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"
      }
    ]
  }
]
