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        "body": "![uploaded image](/media/?type=post&id=70433&key=user_uploads/715558/75b830b5-9457-4cc1-a0ba-2b793a8e28f9)\n\nHey, we’re Josh and Mason and we’re launching a new product to help you invest in and enjoy world class rural real estate, and all the benefits those properties have to offer. As we built our outdoor marketplace we realized that rural property ownership models can be improved upon, and that’s what sparked Pursuit Properties.\n\n[**SIGN UP HERE TO LEARN MORE.**](https://www.pursuitoutside.com/properties)\n\n### **Problem:**\n\nBig land parcels are beautiful, filled with recreation possibilities, and are great long-term investments, BUT they’re difficult to manage and a lot for one person to bite off alone.\n\n### **Solution:**\n\nMulti-party ownership of the land with Pursuit’s software and team to manage the property and optimize for enjoyment and investment return.\n\n### **Product Benefits:**\n\n* **_100% Owned_**. Not A Timeshare. You own your stake in the property outright. You can buy more. You can sell when you're ready. You get the appreciation.\n* **_No Management Hassle_**. Pursuit manages the properties and maximizes for investment and enjoyment return, taking the burden off owners.\n* **_Exceptional Private Recreation_**. The best in outdoor activities are yours. Experience it all.\n* **_Inflation Hedge & Tax Advantages_**. Couple your love for the outdoors with an investment that yields long-term wealth and tax benefits.\n* **_Worldwide Club Access_**. By managing various properties around the world, Pursuit will create a club where owners can trade usage of their properties in other exotic locations.\n\n[**SIGN UP HERE TO LEARN MORE.**](https://www.pursuitoutside.com/properties)\n\n![uploaded image](/media/?type=post&id=70433&key=user_uploads/715558/6d822c31-aea9-4375-958f-2d1e0bf707fe)\n\n",
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        "title": "EvalRouter by Kimpton: One API for AI evaluation",
        "tagline": "Evaluate any model against any benchmark",
        "body": "\n![uploaded image](/media/?type=post&id=117920&key=user_uploads/3054189/67ffcd7e-40fd-40ff-81ad-cacb271d97b1)\n\nWe’re Jack, Mauricio, and Adrian, the founders of Kimpton (YC P26). Today we’re introducing **EvalRouter**.\n\nOne API for evaluating any model against any benchmark.\n\n<https://youtu.be/NLggXJxQoX4?si=lwgdK4-SwGfZycKb>\n\nWe built it because running an evaluation still means setting up a harness, provisioning sandboxes and babysitting long jobs. Model builders need to repeat this work as their models change and they add new benchmarks.\n\nWith EvalRouter you name a model and a benchmark and get graded results back. Choose a managed model or connect your own endpoint, select a benchmark version and set a spending cap. EvalRouter runs the evaluation and returns the results with the recorded answers and execution details. You can inspect what happened and export the report.\n\nCheckout the demo:\n\n<https://youtu.be/Sb5Ujg95ZLk>\n\nBefore Kimpton, we built and ran a quantitative fund together. Mauricio and I previously worked at Goldman Sachs, and Adrian worked at SpaceX and Vistra. We raised $10M from a family office, built our own research and automated trading systems, and scaled the fund to $35M in assets. At Kimpton, we’ve been building benchmarks and environments to evaluate AI models. EvalRouter makes those evaluations accessible through one API.\n\nRun your next evaluation at <https://evalrouter.ai>. If you build models or maintain a benchmark, we’d like to hear from you. Reach us at [founders@kimpton.ai](mailto:founders@kimpton.ai).",
        "url": "https://www.ycombinator.com/launches/Ufw-evalrouter-by-kimpton-one-api-for-ai-evaluation",
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      {
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        "title": "Koliseum by Kimpton, Live Evaluation Arenas for AI Models",
        "tagline": "Real-world market interaction environments, starting with financial markets",
        "body": "Today we're launching **Koliseum** by [Kimpton](https://bookface.ycombinator.com/company/31420), live evaluation arenas for AI models in financial work.\n\n**The problem**\n\nStatic benchmarks are contaminated soon after publication, and simulations reward the assumptions their designers encode. \n\nThis simply isn't acceptable in finance or any other professional industry. A wrong answer or action can be catastrophic and reality eventually shows whether the claim was right. Almost no evaluation waits to find out.\n\n**Koliseum**\n\nBefore Kimpton, we ran a quantitative fund. Backtests never proved alpha; live markets did. Koliseum applies the same test to models: a model commits inside an arena, the record is sealed, and reality supplies the grade.\n\nTwo kinds of arenas:\n\n* **Prediction Arenas** seal a forecast before the outcome exists and score it against consensus, market, and statistical baselines when reality resolves.\n* **Action Arenas** give a model a bounded task and real tools, then verify success from the resulting system state.\n\n![uploaded image](/media/?type=post&id=113565&key=user_uploads/3054189/789d031b-cca8-4596-8921-dbc9f1544cb4)\n\nThe first Prediction Arena is already running. **EarningsBench** seals earnings forecasts for public companies 24 hours before each release and scores them against consensus and a statistical baseline once results are public.\n\nTwo things are already clear: most open-weight models reproduce consensus exactly, and a simple statistical baseline is harder to beat than a leaderboard alone would suggest.\n\nAlong with these developments, we are introducing a new concept in evaluation: **reality-as-a-judge**.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=113565&key=user_uploads%2F3054189%2Fc6c1ba2c-4e77-4ebc-be71-675f0abd71a6&variant=large)\n\nMost open-ended evaluations are graded by another model or by a human rubric, so the score inherits the grader's assumptions. In reality-as-a-judge, the grader is the outcome itself.\n\n[More info on Koliseum](https://www.kimpton.ai/koliseum)\n\n[Methodology](https://www.kimpton.ai/methodology)\n\n**Our ask**\n\nReach out if:\n\n* You work on post-training or evals at a lab and want your model in the first private cohort. Results stay private unless you publish them.\n* You run a trading firm or a prediction venue and want models scored on your own resolving questions, or want to co-run a public arena.\n* You have a workflow (any industry!) with a verifiable end state and want it turned into an Action Arena.\n\nor know anyone who does.\n\nWrite to us at [founders@kimpton.ai](mailto:founders@kimpton.ai). Thanks for the support!",
        "url": "https://www.ycombinator.com/launches/TXh-koliseum-by-kimpton-live-evaluation-arenas-for-ai-models",
        "votes": 3,
        "created_at": "2026-09-02T16:01:08.067Z"
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      {
        "id": 102078,
        "title": "Kimpton: Cursor for portfolio managers",
        "tagline": "AI-native terminal where agents do the research and propose the trades",
        "body": "**TL;DR** AI can’t trade, but portfolio managers can. Kimpton combines high-resolution public financial markets data, portfolio manager strategy/mandate, portfolio holdings, and transaction data to generate trade ideas for managers.\n\n<https://www.youtube.com/watch?v=3aED4nL3G50>\n\n**Our Background**\n\nWe are former Goldman Sachs and Vistra Energy engineers who started a quantitative hedge fund together in 2021 after raising $10M from a family office at the ages of 22 and 21 years old, scaling it to $35M at its peak.\n\nWe spent four years systematically trading using the tools that we built in-house to support our systems. Internally, we developed Kimpton to automate many of our own workflows.\n\n![uploaded image](/media/?type=post&id=102078&key=user_uploads/3054189/7f252d74-65d7-4557-92f0-59383e3a782a)\n\n**The Problem**\n\nAI can’t trade. After all, LLMs are the most overfit backtest in all of human history. They are consensus machines and sycophantic by nature. As a result, AI goes largely unused by portfolio managers today.\n\nAgents finally had depth in 2025. We tested LLMs on the markets and were unimpressed with the output. LLMs can’t trade because they are consensus machines and sycophantic by nature. They lack the edge that portfolio managers provide.\n\nAI can’t trade like a portfolio manager, but they can research at 100X the efficiency of an investment analyst. For this reason, Kimpton revolves around the portfolio manager, solving increasingly all of the workflows that they need.\n\nAnalysts spend weeks aggregating data and synthesizing it to generate singular trade ideas that are passed up to portfolio managers for review. It’s time for a change.\n\nInvestment management is built on the idea that analysts and PMs need to spend their days staring at screens all day to find edge in the markets. \n\nTo refactor the investment management industry, we can’t simply provide better tools. We have to automate the entire research layer instead.\n\n**The Solution**\n\nKimpton automates the analysis layer by securely ingesting firm-wide context, portfolio, and transaction data to synthesize fully-formed trade recommendations fitted to their portfolio.\n\nPortfolio managers can challenge the results of the trade proposals through a process we call Adversarial Review, an agentic Socratic questioning to assist portfolio managers in coming to their own conclusions.\n\n![uploaded image](/media/?type=post&id=102078&key=user_uploads/3054189/62ecf56b-91f8-4c4d-a883-6a8be7df6108)\n\nWe developed a harness specifically for the financial markets to make aggregation efficient, fast, and accurate. It has access to high-quality institutional data sources through Factset, Massive, and Tiingo. Real-time data on tens of thousands of global assets across equities, ETFs, indices, insider trades, SEC filings, events, transcripts, company fundamentals, corporate leadership, and more!\n\nOur AI agents also provide portfolio managers with the ability to generate many different types of artifacts, such as real-time dashboards, institutional-grade reports, and comprehensive visualizations.\n\n**Traction**\n\nKimpton is deployed and generating trade proposals on billions of dollars of assets under management today.\n\nPortfolio managers are using Kimpton to monitor their exposures, understand investment thesis drift, earnings coverage, manage positioning across teams, investor reporting, and as an investment team collective brain.\n\nPortfolio managers are underserved today when the potential to refactor the way they work is massive. Kimpton is focused on improving the lives portfolio managers who are actively making decisions in the public markets.\n\n**Ask**\n\nIf you know anyone who manages assets a hedge fund, family office, mutual fund, ETF manager, or other public markets manager — we’d love to speak with them.",
        "url": "https://www.ycombinator.com/launches/QYQ-kimpton-cursor-for-portfolio-managers",
        "votes": 9,
        "created_at": "2026-05-28T07:12:24.038Z"
      }
    ]
  },
  {
    "id": 35396,
    "name": "Oasive",
    "slug": "oasive",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc57ec29fb0414ace78c3d3c1e5d7acfef9c0c5c.png",
    "website": "https://www.oasive.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Oasive helps bond investors figure out which bonds are rich or cheap, and why. We give portfolio managers, traders, analysts and investment advisers a team of AI analysts, combining fixed income research, proprietary quantitative models and scenario analysis to move from trade idea to decision in minutes. Our focus is Macro and Rates Research and MBS, with munis, ABS and corporates next.",
    "one_liner": "Helping bond investors find what's rich or cheap, and why",
    "team_size": 1,
    "industry": "Fintech",
    "subindustry": "Fintech -> Asset Management",
    "launched_at": 1789659235,
    "tags": [
      "FinOps",
      "Fintech",
      "Investments"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2026",
    "status": "Active",
    "industries": [
      "Fintech",
      "Asset Management"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/oasive",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/oasive.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/oasive",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc57ec29fb0414ace78c3d3c1e5d7acfef9c0c5c.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Kulveer Taggar",
      "url": null
    },
    "founders": [
      {
        "user_id": 2395902,
        "full_name": "Anaïs Howland",
        "title": "Founder/CEO",
        "founder_bio": "Founder of Oasive, helping bond investors figure out which bonds are rich or cheap, and why. I worked on Wells Fargo's $350B MBS portfolio, then as a portfolio manager on Google Treasury's $17B MBS/ABS portfolio before leading product strategy across Google's consumer AI products. I'm building the fixed income platform I wished I'd had on the desk.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anaishowland/",
        "x_url": "https://x.com/AnaisHowland18",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/729c1dab7d8a8a9375913ba8278cc998e0e56fda.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 116240,
        "title": "Oasive: Find better bonds to buy",
        "tagline": "See which bonds are rich or cheap and decide what to buy",
        "body": "**TL;DR: [Oasive](http://www.oasive.ai)** **helps bond investors find better bonds to buy. Compare investments and test trade ideas in minutes with proprietary models and a team of AI analysts.**\n\n<https://youtu.be/HlMWxuHhlo8>\n\nHi, I'm Anaïs, founder of [Oasive](http://www.oasive.ai). I worked on Wells Fargo's $350B mortgage-backed securities (MBS) portfolio, then as a portfolio manager on Google Treasury's $17B MBS/ABS portfolio, before leading product strategy across Google's consumer AI products.\n\nI'm building [Oasive](http://www.oasive.ai) to help more fixed income investors find value and act on it.\n\n**The problem**\n\nFinding an attractive trade is only the start. Is it really cheap, what could change that, and does it improve the portfolio? Answering those questions means going back and forth between research, market data, models and spreadsheets.\n\n**What we built**\n\n[Oasive](http://www.oasive.ai) helps you uncover opportunities you might otherwise miss, compare investments and test the risks before putting on a trade. Macro and Rates Research and our MBS Platform are live today:\n\n* **Macro and Rates Research:** Which Treasury maturities look cheap, and is there a curve trade worth putting on? Use our proprietary valuation models to compare maturities, curve trades and butterflies. Check how many Fed cuts are priced in, dig into market moves and economic releases, and keep exploring with unlimited chats and follow-ups.\n* **MBS Platform:** Which MBS pools look attractive, and why? Use proprietary prepayment models and collateral analysis to spot relative value and test investment ideas. If rates fall 1%, what happens to your portfolio? Change rate and prepayment assumptions to see the impact on spreads, duration and value across your holdings.\n\n_Municipals, ABS, and corporates are next._\n\n[Oasive](http://www.oasive.ai) is already used across 15+ institutional desks at global banks, asset managers with $100B+ in AUM, and Fortune 500 treasury teams.\n\n**Try it**\n\nStart your Macro and Rates Research free trial or request an MBS demo at <https://oasive.ai/join> — free and paid plans available.\n\n**Our ask**\n\nKnow portfolio managers, traders or analysts on fixed-income desks? I’d love an introduction. Email [anais@oasive.ai](mailto:anais@oasive.ai)\n\n![uploaded image](/media/?type=post&id=116240&key=user_uploads/2395902/0db02b4c-6fd1-4d3d-b1cc-6c6df9dce469)\n\n",
        "url": "https://www.ycombinator.com/launches/UEq-oasive-find-better-bonds-to-buy",
        "votes": 18,
        "created_at": "2026-09-23T20:00:00.098Z"
      }
    ]
  }
]
