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Whenever you open the app, she’ll chat with you about your finances: letting you know how you’re doing this month, forecasting where you’ll be next month, giving you a heads up about upcoming bills, or even helping you cancel services you don’t use.\n\nPenny makes finances less intimidating and stressful. Many apps have lots of useful features, but they’re often hard to use and time-consuming. Penny automatically organizes your finances, explains them simply and clearly, and tells you what you need to know, when you need to know it.", "one_liner": "Penny makes keeping track of your finances as easy as having a…", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Consumer Finance", "launched_at": 1478224835, "tags": [ "Fintech", "Finance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2017", "status": "Acquired", "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/penny", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2017/penny.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": null, "x_url": null, "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/penny-2", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 105919, "full_name": "Mitch Lee", "title": "Founder", "founder_bio": "Cofounder, CEO at Arc Boats. 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As a next challenge, co-founded a fintech startup, joined YC, and went on a roller-coaster! 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We prioritize rigorous security and compliance, ensuring your most sensitive data never leaves your infrastructure. Datasaur keeps your workflows internal, so your proprietary intelligence remains a dedicated competitive advantage, and is never used to train the next generation of third-party models.", "one_liner": "Datasaur builds private AI/agents for enterprise/government", "team_size": 60, "industry": "B2B", "subindustry": "B2B", "launched_at": 1583202722, "tags": [ "Finance", "Compliance", "Healthcare", "LegalTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2020", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Over the past decade, I have had the privilege of developing ML products at several companies. My most recent position at Apple involved overseeing the gathering of training data for the team, which required a significant investment of hundreds of millions of dollars. While working on this project, we utilized a range of tools, including spreadsheets, open-source resources, and custom internal tools. Despite the company’s resources, I found myself wishing for a labeling interface that didn't exist - one that would have made the process more efficient and streamlined.It was this realization that led me to create Datasaur, a solution that would address this gap in the market once and for all. Our goal is to provide an intuitive and effective labeling interface that can benefit the broader NLP ecosystem across all industries and languages." } ], "url": "https://www.ycombinator.com/companies/datasaur", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2020/datasaur.json", "year_founded": 2019, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/datasaur/", "x_url": "https://twitter.com/datasaurai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/datasaur", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1e4e6a7e39b57894f41f9fad6905d92d82b57caa.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 419098, "full_name": "Ivan Lee", "title": "Founder", "founder_bio": "Ivan serves as the Founder and CEO of Datasaur.ai. Datasaur builds data labeling software for ML teams working on NLP.\nAfter graduating from Stanford with a Computer Science degree, Ivan has spent his career working in the machine learning, search and gaming industries. He's driven by building cohesive teams and crafting technological breakthroughs into meaningful user experiences.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/iylee", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b355f4f35cc7b26560d4a23a95c1c50668636a31.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 13265, "name": "Kinter", "slug": "kinter", "former_names": [ "Leadgem", "Alloy", "Alloy Automation" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/94a916dd526a995c49f7cd66a284271b72ec8d28.png", "website": "https://kinter.ai", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Kinter empowers leading organizations to supplement their workforce with AI Accountants that execute the accounting close. Trusted by global leaders including Amazon, Mastercard, and UPS, Kinter is backed by a16z, Bain Capital Ventures, Y Combinator and dozens of career operators and founders.", "one_liner": "A new kind of power for finance teams", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1594318518, "tags": [ "SaaS", "Finance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2020", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kinter", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2020/kinter.json", "year_founded": 2019, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kinterai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/94a916dd526a995c49f7cd66a284271b72ec8d28.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 247875, "full_name": "Gregg Mojica", "title": "Founder/CEO", "founder_bio": "Founder/CEO at Kinter.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/greggmojica/", "x_url": "https://twitter.com/greggmojica", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/70f9c12dbf2522f2d13f9b417e737119bcbede50.jpg" } ], "jobs": [], "news": [ { "title": "She Raised $27 Million After Dropping Out Of Harvard And Built An eCommerce Software Company Now Serving Some Of The World’s Top Brands", "url": "https://www.forbes.com/sites/stevenli1/2022/03/01/she-raised-27-million-after-dropping-out-of-harvard-and-built-an-ecommerce-software-company-now-serving-some-of-the-worlds-top-brands/?sh=4c4dfa8339b1", "date": "Mar 01, 2022" }, { "title": "Alloy raises $20 million from a16z to be an e-commerce-focused Zapier - Axios", "url": "https://www.axios.com/alloy-raises-20-million-a16z-andreessen-horowitz-zapier-b4149a9f-bec1-46b0-9427-9fd0abda1fe6.html", "date": "Feb 22, 2022" }, { "title": "Alloy raises $4M to build out its e-commerce automation service – TechCrunch", "url": "https://techcrunch.com/2021/02/02/alloy-raises-4m-to-build-out-its-e-commerce-automation-service/", "date": "Feb 02, 2021" } ], "launches": [ { "id": 103611, "title": "Kinter: agents that run your accounting close proactively, not on demand", "tagline": "Kinter.ai is an autonomous workforce for accounting teams", "body": "I started coding at 10 and working professionally at 17. Five years ago, I built Alloy Automation (YC W20), an integration platform backed by a16z and YC that connected SaaS tools and powered financial workflows for companies like Amazon.\n\nLast year, I made a call that felt risky: walked away from a growing business because I could see the moat eroding. Integration infrastructure was getting commoditized. We pivoted to [Kinter.ai](http://Kinter.ai).\n\nHere's what we saw: The real problem in accounting is execution capacity, not data. Most finance teams close their books 14-21 days after month-end – not because they lack information, but because the work (reconciliation, accruals, journal entries) still happens manually. Every \"AI\" tool in the space is basically a co-pilot: you ask it something, it helps you do the work faster. The work still lands on a person.\n\n**What we built**: AI agents that run accounting workflows proactively, inside existing ERPs (QuickBooks and NetSuite), without waiting to be prompted. One agent does payroll. Another monitors for accruals throughout the month and drafts proposals. Another reads invoice attachments to extract prepaid expense candidates. All actions go through a human approval step before touching the books. Full audit trail on everything.\n\n\n\nWhat surprised us building this:\\\n\\\n1\\. The hardest part isn't the AI, it's the data. We had an early customer where we were silently missing 2,300 bills because of a pagination limit in the QBO API. No error, no warning. Just missing data. Reconciliation built on incomplete data isn't reconciliation.\n\n2\\. Finance teams aren't afraid of AI, they're waiting for it. We’ve had over 600+ conversations with Controllers & CFOs. The reaction to \"an AI that does your close\" wasn't fear. It was a relief. People went into accounting to solve hard problems, not to copy numbers between spreadsheets at 11pm.\n\n3\\. Trust is built incrementally. We shipped human-in-the-loop approval flows before broad autonomy. The confidence threshold to let an agent post a journal entry is higher than the threshold to let it flag an anomaly. We design for that explicitly.\n\n4\\. The integration layer we built at Alloy turned out to be the prerequisite. You can't build a trustworthy accounting agent if you can't reliably read bank feeds and write back to ERPs. The connectivity problem isn't solved by the model.\n\nSee more at [kinter.ai](http://kinter.ai) and read our manifesto here: kinter.ai/manifesto\n\n![uploaded image](/media/?type=post&id=103611&key=user_uploads/247875/b5349615-6f28-4ee8-a030-9cd5a50c5f6a)\n\n", "url": "https://www.ycombinator.com/launches/Qx9-kinter-agents-that-run-your-accounting-close-proactively-not-on-demand", "votes": 8, "created_at": "2026-06-22T03:49:06.516Z" } ] }, { "id": 13309, "name": "Modernbanc", "slug": "modernbanc", "former_names": [ "Milly Works" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e71ae997b9de042f26db450a5b99d594a75be4e6.png", "website": "https://modernbanc.com", "all_locations": "London, England, United Kingdom", "long_description": "Simple to set-up, flexible and powerful platform to manage your business finances", "one_liner": "Accounting software that works for you", "team_size": 6, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1632653047, "tags": [ "Fintech", "Finance", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2020", "status": "Active", "industries": [ "Fintech" ], "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/modernbanc", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2020/modernbanc.json", "year_founded": 2020, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/68803106/admin/", "x_url": "https://twitter.com/Modernbanc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e71ae997b9de042f26db450a5b99d594a75be4e6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 354461, "full_name": "Gregory Gevorkyan", "title": "Founder", "founder_bio": "Building Modernbanc (W20) - the best way to manage your business finances.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/grisha-gevorkyan-597b5289/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8eae62baf357628cbac84193a4aa82dc709900fe.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92167, "title": "Modernbanc - The first AI financial assistant for business owners", "tagline": "Get an answer, dashboard or a projection to your business finance question in seconds.", "body": "**Introducing Modernbanc - the first of its kind AI financial assistant for business owners.**\n\nPowered by real-time banking and accounting data, it one-shots answers to business owner’s questions in a spreadsheet interface.\n\nBest thing? Those answers never get out of date.\n\nhttps://www.youtube.com/watch?v=ZEIy3R0IFHY\n\n### PROBLEM\n\nMost business owners need simple answers fast, yet they can’t afford to hire a fractional CFO or a finance person.\n\nAt the same time - traditional and inflexible reports from Quickbooks just don’t cut it.\n\n### Enter modernbanc. It can:\n\n* Build real-time financial dashboards, e.g revenue/profitability by category.\n* Create projections, e.g “Can I hire this person?”\n* Custom budget/goal trackers that measure against real-time spend.\n\nNo expensive finance people. No finance degree required.\n\nAlready helping 100+ founders run their business smart.\n\n**Our ask: it’s available to try today, give it a go at [modernbanc.com](http://modernbanc.com) and let us know what you think!**\n\n![uploaded image](/media/?type=post&id=92167&key=user_uploads/354461/b68f917e-051b-4237-a691-9be457da635e)\n\n", "url": "https://www.ycombinator.com/launches/NyZ-modernbanc-the-first-ai-financial-assistant-for-business-owners", "votes": 32, "created_at": "2025-07-15T16:38:29.287Z" }, { "id": 87098, "title": "Modernbanc - fast and modern alternative to Quickbooks", "tagline": "Modern accounting software for startups.", "body": "**TL;DR** [Modernbanc](https://modernbanc.com?source=yc) is a fast and modern alternative to Quickbooks that helps you automate busy work, become tax-ready and know the numbers you actually care about.\n\n* **Automate busy work.** With AI-powered actions and transaction categorization we give you back time every day.\n* **Become tax-ready.** Your or your accountant can easily export the exact data you need for seamless tax filing. If you don’t have an accountant we’ll find you one!\n* **Know your business financials.** Built-in spreadsheet interface to track real-time ARR, Burn, Runway or other custom financial reports.\n\n\n\n# **Problem:**\n\n**As a founder yourself you rarely get any value out of Quickbooks.** You set it up, leave it to your accountant and never open the app again.\n\nIt’s slow and unusable - so when it comes to managing your business finances you spend money on budgeting and reporting software just so you don’t have to open Quickbooks.\n\nAs a founder who had a similar experience I knew we had to build something better.\n\n# \n\n# **Meet Modernbanc - fast and modern alternative to Quickbooks.**\n\nModernbanc is the new standard for accounting software that’s enjoyable and is designed for the way you think:\n\n![uploaded image](/media/?type=post&id=87098&key=user_uploads/354461/f11b941c-6b72-4e0e-acb1-245e2cf3b1b2)\n\n## **⚡️ It’s fast**\n\nInspired by Linear, Modernbanc opens instantly and works without internet so your business financials are always one click away! Don’t believe me? [**Watch this demo**](https://x.com/GregGevorkyan/status/1874585636352795119) 👈\n\n![uploaded image](/media/?type=post&id=87098&key=user_uploads/354461/9b317d37-6269-4ec9-a2c2-7c86ba38545b)\n\n## **⌛️ Smart actions to save you time**\n\n![uploaded image](/media/?type=post&id=87098&key=user_uploads/354461/4e80b3f9-88a7-44f2-8576-29d29b9d79df)\n\nModernbanc learns how your business works and suggests smart actions to automate busy work. Simply press **Enter ↵** or **Backspace ⌫** to accept or reject an action.\n\n## \n\n## **📊 Budgeting, forecasting or reporting - all in one place**\n\n![uploaded image](/media/?type=post&id=87098&key=user_uploads/354461/d4814a75-6684-4ddc-abb7-5bb52c985a4b)\n\nModernbanc has **a built-in spreadsheet** that’s directly connected to your bank accounts and business finances. Build views you actually care about, not just the standard financials.\n\n# **Get started today:**\n\nBook a time with us [here](https://calendly.com/d/cqqj-8zz-b5v/modernbanc-intro), during the call we’ll be able to answer any questions you might have and determine if we’re a right fit for your company.\\\n\\\n_At the moment we’re only able to onboard US-based startups._", "url": "https://www.ycombinator.com/launches/Meo-modernbanc-fast-and-modern-alternative-to-quickbooks", "votes": 16, "created_at": "2025-01-23T17:01:27.387Z" }, { "id": 84421, "title": "Modernbanc - Real-time finance platform for startups", "tagline": "✨ Gain confidence into your business finances. Build real-time ARR/Burn and profitability reports in seconds.", "body": "**Modernbanc combines features from both Excel and Quickbooks to give founders the best way to track their business finances.**\n\n* Say goodbye to imports/exports and outdated reports.\n* Build ARR, Burn, or Runway trackers with live financial data in seconds.\n* Drill down and identify unneeded spend.\n\n[Book a call with us if monitoring live financial metrics is top of your mind.](https://modernbanc.com/?source=yclaunch)\n\n![uploaded image](/media/?type=post&id=84421&key=user_uploads/354461/07567780-ae7d-441b-9535-43b2bdb5e2ce)\n\n## **Problem**\n\nLet’s be honest - no one likes opening Quickbooks, yet it’s the place where your core financial data lives. This creates a disconnect between founders and their key financial metrics, leading to overspend, lack of confidence, and missed goals.\n\nTo get the answers you need, you’d typically export that data into a spreadsheet and then run some calculations.\n\nHowever, the problem is that historically, your accounting software and spreadsheet have always been disconnected, relying on clunky extensions and periodic CSV dumps. This leads to broken, outdated spreadsheets and wasted time cleaning and managing data.\n\n**Why do we still put up with this? We had to come up with a better solution.**\n\n## Meet Modernbanc: If Quickbooks and Excel had a baby.\n\nNo more clunky sheets extensions or periodic CSV dumps. With Modernbanc you just connect your bank accounts and accounting software and point directly to live balances and transactions within a spreadsheet interface. It just works.\n\n![uploaded image](/media/?type=post&id=84421&key=user_uploads/354461/e6929f86-d479-4bde-800c-2c2982d15612)\n\n![uploaded image](/media/?type=post&id=84421&key=user_uploads/354461/2e8a798e-acd2-4cd7-9834-9548fcd9c8e3)\n\n**Modernbanc offers the best of both worlds:**\n\n* **Built like a spreadsheet.** Ready to handle any free-form calculations, works offline, and has instant interactions.\n* **Powered by an integrated ledger**, ensuring your data is always up-to-date and reliable.\n\n**We care about quality and craft.** Inspired by Linear, our product is powered by our internal sync engine for that snappy, offline-first experience and WebGL canvas for ultra-fast rendering and instant calculations.\n\n### **What you can do:**\n\n* **Make plans and projections based on real-time accounts and balances.**\n* **Drill down and identify unneeded spend, break down live transactions into categories**\n* **Look up historical balances (e.g., “What was the balance of my account a month ago?”).**\n* **Maintain a full hierarchy of your accounts, revenue, and spend.**\n* **Track inventory and ensure nothing goes unaccounted.**\n\n### **What data sources do you support?**\n\nWhile Modernbanc has an accounting system that you can store data in, you can connect the following data sources to stream data to Modernbanc:\n\n* Your bank accounts\n* Ledger data from Quickbooks\n* Any custom source (You can create your own data sources within our UI).\n\n### **Who is it for?**\n\n* **Startups** looking to do expense reviews, building live Runway/Burn/Profitability trackers in minutes that don’t involve import/export and never need updating.\n* **Finance teams at medium/large** companies that waste countless working hours on broken spreadsheets when putting together reports.\n* Physical product startups who want to track inventory or other assets but find Quickbooks too limited.\n\n### **Deal:**\n\n* White-glove onboarding (we’ll build your financial views)\n* Data migration.\n* 2 months free for the first 10 clients that sign up through this launch.\n\n### **NEXT STEPS?**\n\n* Book a demo with us [**here,**](https://modernbanc.com/?source=yclaunch) and we’ll get you set up right away!\n* Follow us on [Linkedin](https://www.linkedin.com/company/modernbanc), [Twitt](https://x.com/modernbanc)[er](https://www.linkedin.com/company/modernbanc) and spread the word.\n\nYou can also reach us at [gregory@modernbanc.com](mailto:gregory@modernbanc.com) and [daniel@modernbanc.com](mailto:daniel@modernbanc.com). We’d love to help out if we can!", "url": "https://www.ycombinator.com/launches/Lxd-modernbanc-real-time-finance-platform-for-startups", "votes": 16, "created_at": "2024-10-01T14:53:35.154Z" }, { "id": 76120, "title": "Modernbanc Vault - Compliant encryption API for developers", "tagline": "🔒 Collect, encrypt, process and send your secret and sensitive data in 5 minutes. ", "body": "**TLDR**\n\n> We ([Modernbanc](http://modernbanc.com/)) just launched our [**Encryption Vault API**](https://modernbanc.com/vault) for developers. It allows you to securely collect, encrypt, process, and send sensitive data and achieve PCI/HIPAA or other compliance. Integrate multiple card payments processors and build unique journeys. Book a [demo](https://calendly.com/greg5/30) to learn more.\n\n![uploaded image](/media/?type=post&id=76120&key=user_uploads/354461/29acd05e-1c67-4ed4-8303-9bfd8dd42bc1)\n\n### **Problem:**\n\nAs companies we’re all busy building something customers want - sometimes it means working with and securing sensitive/secret data which can be a huge time and resource drain and derail your roadmap.\n\nSometimes a security or compliance breach can even kill your company!\n\n### **Do you:**\n\n* Work with card numbers and are worried about becoming subject to PCI compliance?\n* Need to store and protect customer data?\n* Need to solve a hard encryption/security issue?\n\nIf the answer to any of these is yes then we can help you!\n\n### **Introducing Encryption Vault.**\n\n[**Modernbanc Vault**](https://modernbanc.com/vault) helps you securely collect, store, process and send sensitive data and achieve compliance.\n\nYou can get started in 5 minutes and do the following:\n\n* Collect and encrypt data into the vault via our API proxy or by embedding our native SDKs.\n* Process it by deploying custom code onto Modernbanc Isolates - bullet-proof and secure environments.\n* Send this data to any API or a database.\n\nIt’s like wearing gloves - you have full control and can touch and manipulate your data with 0 exposure to your app or servers - it is magical!\n\n### **Use-cases:**\n\nYou can use it to solve any security/encryption roadblocks but these use-cases would be most familiar:\n\n* **Card/payments data:**\n * Working with card numbers or exposing it to your app/server puts you at risk of becoming subject to PCI compliance.\n * With Modernbanc you can delegate most of your PCI scope to us and launch your product in minutes!\n * Compliantly build custom payments journeys including a smart-checkout or payment orchestration.\n* **Customer and credentials data:**\n * Show your customers and partners that you’re serious about their security by collecting and processing their data in bullet-proof encrypted environments.\n* **Health data:**\n * Tick-off the PHI data collection, encryption and processing requirements for HIPPA.\n\n### **OFFER:**\n\nWe offer exceptional support, consultation sessions and a 1-year 30% discount to first 10 companies that sign up through here (mention ‘YC Launch’ in the link below) **with unlimited encrypt and decrypt operations.**\n\n### **NEXT STEPS?**\n\n* Book a demo with us [**here**](https://calendly.com/greg5/20) and we’ll get you set up right away!\n* Follow us on [Linkedin](https://www.linkedin.com/company/modernbanc), [Twitter](https://x.com/modernbanc) and spread the word.", "url": "https://www.ycombinator.com/launches/Jnk-modernbanc-vault-compliant-encryption-api-for-developers", "votes": 13, "created_at": "2023-11-09T19:10:09.068Z" } ] }, { "id": 21784, "name": "Blue Onion", "slug": "blue-onion", "former_names": [ "Finance Weaver", "Blue Onion Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ade6715edaa57cf94e8649919bf33b3022c27458.png", "website": "https://www.blueonion.ai/", "all_locations": "New York City, NY, USA", "long_description": "Blue Onion is the data backbone for tomorrow’s AI-powered finance teams — a subledger platform that transforms messy, scattered transactions into clean, reconciled, and automation-ready data. 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", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lyndseybunting/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7e8c4eace171e19f944dd6e3d8408c79e5ce3305.jpg" }, { "user_id": 489857, "full_name": "Manav Malhotra", "title": "Founder", "founder_bio": "Co-Founder of Blue Onion Labs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/manav-m/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f602d390703efdef60c24aa59ed504f82989804d.jpg" } ], "jobs": [ { "id": 101988, "title": "Accounting Solutions Expert", "url": "https://www.ycombinator.com/companies/blue-onion/jobs/lC6W0v4-accounting-solutions-expert", "location": "US / Remote (US)", "type": "Full-time", "role": "Finance", "role_type": null, "salary_range": "$85K - $100K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Making Daily Close a Reality: Announcing our Series A", "url": "http://www.blueonion.ai/blogs/making-daily-close-a-reality-announcing-our-series-a ", "date": "Apr 16, 2025" } ], "launches": [] }, { "id": 22668, "name": "Hapi", "slug": "hapi", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/af60ab7f35a66c928467a7fc0641b82466842558.png", "website": "https://hapi.trade/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Hapi democratizes investing for consumers in Latin America.\r\n\r\nWe let anyone from Latam easily invest in stocks, ETFs and cryptos in under 5 minutes, with no minimums and no commissions.", "one_liner": "Stocks and cryptos trading app with zero commissions and no minimums…", "team_size": 45, "industry": "Fintech", "subindustry": "Fintech -> Consumer Finance", "launched_at": 1612134028, "tags": [ "Fintech", "Finance", "Consumer Finance", "Trading", "Cryptocurrency" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "Fintech", "Consumer Finance" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hapi", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/hapi.json", "year_founded": 2020, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hapi-app/", "x_url": "https://x.com/hapiapp_", "fb_url": "https://www.facebook.com/imhapiapp/", "cb_url": "https://www.crunchbase.com/organization/hapi-app", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/af60ab7f35a66c928467a7fc0641b82466842558.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": 220892, "full_name": "Dusko Kelez", "title": "Founder", "founder_bio": "CoFounder and CEO at Hapi, investments app focused in consumers from Latin America.\nFormer COO at Grin Scooters and COO at Taximo. 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Hyperseed replaces manual work borne of billing system limitations and lets companies avoid spending engineering resources on homegrown systems. 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I'm a computer engineer and programmer since 7.\n\nPrevious Abstra, I co-founded an edtech called PaperX where I was CTO. I sold it during college to Descomplica (biggest edtech in Brazil) where I worked after as Product Manager and Tech Lead.\nAlso, I co-founded a Game Studio called Sinextra where I was Game Designer before college.\n\nI love all kind of creative activities, from making music, comics, games or software.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brunovcosta/", "x_url": "https://twitter.com/bruno_vcosta", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5673d2e20e76c934bfd0bf0de872d9d527844c89.jpg" } ], "jobs": [], "news": [ { "title": "Brazil’s Abstra lands Accenture as a customer and $2.3M to help teams make apps with its no-code tool – TechCrunch", "url": "https://techcrunch.com/2022/01/03/brazils-abstra-lands-accenture-as-a-customer-and-2-3m-to-help-teams-make-apps-with-its-no-code-tool/", "date": "Jan 03, 2022" } ], "launches": [ { "id": 80549, "title": "Abstra: Scale critical business processes with Python + AI", "tagline": "Automate and manage operations with the power of code – without the overhead.", "body": "**TL;DR:** [Abstra](https://abstra.io/?ref=yc-launch) is a Python-based workflow engine to design and manage custom business processes with no overhead, powered by AI. Merge automated tasks with manual reviews, gain real-time insights into operations, and track history with git-compatible versioning & auditable logs.\n\n![uploaded image](/media/?type=post&id=80549&key=user_uploads/512795/6038e404-1f1f-4389-9d6c-304c36dadbfd)\n\n\n\n\\\nThe Big Problem\n\nEvery company faces **growing pains** – new people must be **hired,** work needs to **scale**, more **compliance** regulations come knocking.\n\nSuddenly, building **better internal processes** becomes critical – think onboarding, CS or financial systems. Ideally they're fast to build, easy to manage and audit, and intuitive for everyone.\n\nHowever, the top of mind solutions have **tough trade-offs**.\n\n* Choose no-code for **speed**, but lose customization and **auditability** – and end up with un-debuggable mess of automations no one truly understands.\n* Opt to build in code for refinement, but sacrifice **months of expensive work** from engineers, who are focused on critical product tasks.\n\nAt this intersection of agility, power and governance, Abstra was born 🐣\n\n### Our Workflows\n\nWith Abstra Workflows, teams can spin up robust **business process automation in Python** as fast as they would with no-code, freeing up valuable time.\n\nDesign and **orchestrate** fully custom flows for solutions that fit **seamlessly** into your processes.\n\n![uploaded image](/media/?type=post&id=80549&key=user_uploads/512795/0507502c-c2b3-4721-adf5-e2c087e28ae7)\n\nAnd not only devs: with our AI features, **anyone with basic Python** skills can safely get **autonomy** from engineering teams. No technical overhead and countless **out-of-box benefits**, such as compliant logging, refined access control and custom notifications.\n\nSee beyond basic task automation to **tame** **critical** company **processes**, with **full visibility** into your challenges.\n\n![uploaded image](/media/?type=post&id=80549&key=user_uploads/512795/b13697ea-1739-47f5-9bc4-35c456e173e9)\n\n### How to get started\n\nIf you currently need to automate any company process and you tick one of these boxes:\n\n* You are struggling with no or low-code tools\n* You have critical scripts running locally in someone's machine\n* You need to give non-technical team members autonomy\n* You want visibility into how processes are being edited and executed\n* You are a Python fan\n\nAbstra was made for you. [Book a quick chat here](https://meet.abstra.app/sophia?url=yc-launch) – get 22% off if you sign up by May 8th.\n\nCheck out [abstra.io](http://abstra.io?ref=YC) for more!", "url": "https://www.ycombinator.com/launches/KxB-abstra-scale-critical-business-processes-with-python-ai", "votes": 121, "created_at": "2024-05-01T14:09:32.478Z" } ] }, { "id": 24037, "name": "Levro", "slug": "levro", "former_names": [ "Novo" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c701b2b04808644316217d356d3d16dfbf3e281.png", "website": "https://www.levro.com", "all_locations": "San Francisco, CA, USA", "long_description": "Levro is a multicurrency account and global payments platform for businesses. We help US & international companies hold, convert, and pay 30+ currencies. Our exchange at rates are 40-90% lower than banks and FX services like Wise. We also offer free currency risk management, recipient onboarding, automated multicurrency reconciliation, and wire tracking.\r\n\r\nIf you have international customers, employee payroll, vendors, or bulk payouts to different countries please send us a note! founders@levro.com", "one_liner": "Multicurrency account & international payments for businesses", "team_size": 12, "industry": "Fintech", "subindustry": "Fintech -> Banking and Exchange", "launched_at": 1626366454, "tags": [ "Fintech", "Payments", "Finance", "B2B", "International" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "Fintech", "Banking and Exchange" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? 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Levro provides US accounts that hold up to 34 currencies to help companies pay teams, vendors, and receive revenue from customers internationally.\n\nPrior to Levro, Cathy co-founded 42 Technologies (YC W14), a big data company with retail customers around the globe. Cathy holds a Finance degree from the University of British Columbia & MBA from Harvard Business School.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cathyhan/", "x_url": "https://twitter.com/cathyxhan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ce94c45f2ad3be10953efcc9eaa603b08dd0d0ca.jpg" }, { "user_id": 466, "full_name": "Abeer Agrawal", "title": "Founder", "founder_bio": "Prior to Levro, Abeer was the Co-founder & CTO of Theorem (YC W14), a machine learning enabled hedge fund which he built to over $1bn+ in AUM. Abeer holds degrees in Electrical & Computer Engineering and Computational Finance from Carnegie Mellon University. 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", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nicholasrudder/", "x_url": "https://twitter.com/nrudder_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f089b0517fa5a4e2b9a6121cb05e78ef6b6d0e1e.jpg" } ], "jobs": [ { "id": 79071, "title": "Senior Product Engineer", "url": "https://www.ycombinator.com/companies/sphere/jobs/bbaPgMs-senior-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $250K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "React", "Figma" ] }, { "id": 80565, "title": "Senior Full Stack Engineer", "url": "https://www.ycombinator.com/companies/sphere/jobs/m1e8VIc-senior-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $250K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Django", "Python", "React" ] }, { "id": 80567, "title": "Senior Backend Engineer (Infrastructure)", "url": "https://www.ycombinator.com/companies/sphere/jobs/vReUfAx-senior-backend-engineer-infrastructure", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "$180K - $250K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Kubernetes", "PostgreSQL", "Python" ] }, { "id": 80568, "title": "Senior Backend Engineer (Data)", "url": "https://www.ycombinator.com/companies/sphere/jobs/RWOPvIp-senior-backend-engineer-data", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$180K - $250K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Django", "Python", "Software Architecture", "Data Warehousing", "Data Modeling" ] }, { "id": 80988, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/sphere/jobs/3V9MbbG-founding-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$220 - $260", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 86405, "title": "AI Engineer", "url": "https://www.ycombinator.com/companies/sphere/jobs/5CBpoL3-ai-engineer", "location": "San Francisco HQ", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $250K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Machine learning" ] }, { "id": 94681, "title": "Founding Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/sphere/jobs/janritJ-founding-forward-deployed-engineer", "location": "San Francisco HQ", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Sphere: The Global Tax Compliance Platform", "url": "https://www.youtube.com/watch?v=L_UjKHUfN7E", "date": "Nov 19, 2025" }, { "title": "a16z leads $21M Series A into AI-native tax compliance software Sphere | TechCrunch", "url": "https://techcrunch.com/2025/11/18/a16z-leads-21m-series-a-into-tax-compliance-platform-sphere/", "date": "Nov 18, 2025" } ], "launches": [ { "id": 83117, "title": "Sphere - Global sales tax / VAT / GST compliance powered by LLMs 🌎", "tagline": "We help US companies sell anywhere in the world while remaining compliant.", "body": "### **TLDR**\n\n[Sphere](https://www.getsphere.com/?utm_source=yclaunch&utm_medium=launchpost) puts global indirect tax compliance (i.e., sales tax, VAT, and GST) on autopilot - everything from nexus monitoring, registration, calculation / collection, filing, and remittance. Our AI-powered tax engine helps tech companies like Runway AI, Sierra AI and Codieum remain in compliance when selling to customers around the world. Want an estimate on your global indirect tax liability free of charge? [Talk to the Sphere team today](https://calendly.com/d/44n-bjc-wq7/meeting-with-sphere-team).\n\n### **The problem**\n\nWhen I ran [my last business](https://www.businessinsider.com/y-combinator-edtech-startup-sphere-seed-round-workplace-training-2022-8), we sold our product globally from day 1 and had a number of challenges with domestic and international tax compliance.\n\nSpecifically, we didn’t even know where/when we needed to pay sales tax, VAT, or GST, and even when we did, dealing with archaic government portals and filing on a regular basis was a royal pain in the behind. \n\nAfter talking to hundreds of finance leaders, we found similar pain points, and when it comes to indirect tax, companies either:\n\n* **Ignore it,** but their tax liabilities accrue, and eventually, they have to pay the liability out of pocket, which can block future fundraises. Additionally, it is becoming increasingly difficult to ignore as tax authorities pass new regulations to clamp down on indirect tax evasion, especially for tech companies. \n* **Use an incumbent tax automation tool** (e.g. Avalara), but they don’t provide functionality for international coverage, are old/clunky, very expensive, and offer terrible support\n* **Use local tax advisors,** which becomes incredibly expensive as you scale\n\n### **Our solution**\n\nSphere’s platform puts international indirect tax compliance (i.e., sales tax, VAT, and GST) on autopilot:\n\n_Step 1_: We integrate with your payment, billing, and HR solutions to help you see where in the world you’ve triggered economic or physical nexus and how big your indirect tax liability is.\n\n![uploaded image](/media/?type=post&id=83117&key=user_uploads/516489/d64c617f-1911-4b9d-a509-aa38218c8d7a)\n\n_Step 2_: Once you know where you’re exposed you can register in any jurisdiction via our integrations with local tax authorities. We’ve done the heavy lifting of building these integrations to provide a holistic and superior customer experience (unlike other solutions that will push you to one of their international advisory partners)\n\n![uploaded image](/media/?type=post&id=83117&key=user_uploads/516489/2fd26632-aa74-4117-a949-691ba98a4c19)\n\n_Step 3_: We leverage scraping technology and LLMs to collect, monitor, and process tax code data around the world (which is then verified by tax experts). Our AI tax engine integrates with your payment and billing provider to ensure you’re calculating and collecting tax correctly for your transactions based on 1. the product being sold and 2. the customer's location.  \n\n![uploaded image](/media/?type=post&id=83117&key=user_uploads/516489/b171ff6b-e556-4bb0-9aee-9652ca25ea98)\n\n_Step 4:_ We then file your tax returns in each jurisdiction and remit tax collected to local authorities - on time, every time.\n\n![uploaded image](/media/?type=post&id=83117&key=user_uploads/516489/92a2e99e-18c3-4a94-bf6b-2909ffe49c48)\n\n### **How we are different** \n\n* **True global coverage**: We’ve built out integrations with tax authorities around the world and are building a proprietary system that uses AI to collect and monitor tax data globally, providing compliance across sales tax, VAT, and GST. Other vendors will say they are ‘global’ but will offload you to an international partner for VAT / GST (which means a disjointed experience, more work for you, and more $$$ spent)\n* **We're focused on fast-growing software / AI companies:** We are an extremely developer-friendly product (easy implementation, broad set of integrations, flexible APIs) and have the most transparent and reasonable pricing on the market ($100 / region/month all-inclusive)\n* **Built with AI at the core**: Our tax engine is powered by an LLM trained on local + global tax legislation and tax rate data to ensure all your transactions are in compliance wherever you sell (other vendors do this research manually, which is hard to scale globally and prone to errors!).\n\n### **Team** \n\n[Nick](https://www.linkedin.com/in/nicholasrudder/) comes from a finance background in the TMT sector (PwC, Macquarie) and experienced the pain of dealing with indirect tax firsthand in his last business, which was a B2C marketplace selling across the world. \n\n[Mehmood](https://www.linkedin.com/in/meshde/) and [Miguel](https://www.linkedin.com/in/miguelribeironeto/) built and optimized many of the cross-border compliance systems at Deel and were previously the founding engineers at Capbase (founded by YC alums), which helped businesses with entity setup and administrative compliance around the world.\n\nWe’re also lucky to have a team of indirect tax experts from companies like Uber, Avalara, and more. \n\n### **Vision** \n\nWe are building an AI-powered cross-border compliance platform so that businesses can transact seamlessly around the world. \n\nAs our engine ingests more compliance legislation from each region and becomes more robust with each customer, we will layer in additional cross-border services, including withholding tax, e-invoicing, and payments services, to further help businesses go global from day 1.    \n\n**_We want to be the Deel for international billing._** \n\nBy abstracting away compliance and cross-border payment admin, we believe this: \n\n* Levels the playing field for startups to compete against global incumbents\n* Helps governments and local economies benefit more from international trade\n\n### **Asks** \n\n* Want to better understand your tax liability? [Onboard with Sphere for free,](https://calendly.com/d/44n-bjc-wq7/meeting-with-sphere-team) and we’ll show you where you’re exposed and provide an estimate of your tax liability (we only charge once you register and file for a jurisdiction) \n* Know a CEO or finance leader who needs help with sales tax / VAT / GST or hates their current solution? Please reach out to me at [nicholas@getsphere.com](mailto:nicholas@getsphere.com) or feel free to send the below blurb to them.\n\n\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\\\nA YC company called [Sphere](https://www.getsphere.com/?utm_source=yclaunch&utm_medium=referralblurb) has built an AI-powered indirect tax compliance platform that offers global coverage, easy implementation, and stellar support, all for a flat fee per region per month. They’re already helping global software and AI businesses like Runway AI, Sierra AI, Codeium, and many more. Book a time with them [here](https://calendly.com/d/44n-bjc-wq7/meeting-with-sphere-team).\n\n![uploaded image](/media/?type=post&id=83117&key=user_uploads/516489/50763454-8047-46b2-8320-4903d0c66473)\n\n", "url": "https://www.ycombinator.com/launches/Lcb-sphere-global-sales-tax-vat-gst-compliance-powered-by-llms", "votes": 54, "created_at": "2024-08-16T14:34:53.765Z" } ] }, { "id": 25712, "name": "Finnt", "slug": "finnt", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/76ced0ae663413325aa735ad7b15bae4019f286f.png", "website": "https://finnt.com", "all_locations": "", "long_description": "Finnt AI Agents run Controllership and Accounting procedures to accelerate time to close and increase accuracy. ERP-ready journals and financial reports delivered in under 5 minutes, with audit-trail and commentary. \r\n", "one_liner": "AI Agents for CFO and Finance teams", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1643292732, "tags": [ "Finance", "B2B", "Workflow Automation", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Inactive", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "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/finnt", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/finnt.json", "year_founded": 2022, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/finnt-app", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/finnt", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/76ced0ae663413325aa735ad7b15bae4019f286f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 545603, "full_name": "Anji Ismail", "title": "Founder/CEO", "founder_bio": "Repeat entrepreneur.\nAspiring astronaut.", "is_active": false, "linkedin_url": "https://linkedin.com/in/anjismail", "x_url": "https://twitter.com/anjismail", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1069242f1cce8f7425c1db1c05887b21275dd662.jpg" }, { "user_id": 845969, "full_name": "Faouzi EL YAGOUBI", "title": "Founder", "founder_bio": "Software expert with 10 years of experience focused on Software Engineering, Product Management.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/faouzi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/591c1f5f17e05411c95b18c86a42194c694ca9b1.jpg" } ], "jobs": [], "news": [ { "title": "Finnt raises $3.5M seed to help cross-border families send, save, and spend money - Refresh Miami", "url": "https://refreshmiami.com/finnt-raises-3-5m-seed-to-help-cross-border-families-send-save-and-spend-money/", "date": "Jun 08, 2022" }, { "title": "Big Announcement : Finnt Raised $3.5M", "url": "https://www.finnt.com/finnt-raised-announcement/", "date": "May 11, 2022" } ], "launches": [] }, { "id": 26019, "name": "AYC Fund", "slug": "ayc-fund", "former_names": [ "10 minute squad / 10분특공대", "10 minute squad", "Sync" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7e61aca9e3ec1f41c1b6e3f94c2d34767562c42d.png", "website": "http://www.AYCFund.com/", "all_locations": "Seoul, Seoul, South Korea", "long_description": "We provides two AI trading services\r\n\r\n- ZenTrade.me is AI trading service for retail traders. \r\n\r\n- AYC Fund is AI-native crypto hedge fund. \r\n\r\n", "one_liner": "AI-native crypto hedge fund", "team_size": 1, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1641267384, "tags": [ "Crypto / Web3", "Finance", "Trading", "AI", "Cryptocurrency" ], "tags_highlighted": [ "Crypto / Web3" ], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "regions": [ "South Korea", "East Asia" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ayc-fund", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/ayc-fund.json", "year_founded": 2021, "city": "Seoul", "country": "KR", "linkedin_url": "https://www.linkedin.com/company/104091743", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7e61aca9e3ec1f41c1b6e3f94c2d34767562c42d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 869767, "full_name": "MJ Kim", "title": "Founder", "founder_bio": "Founder/CEO at AYC Fund", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mjkim-tech/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d54ee4060eede6474622197cd0c48975347e9f2b.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 26794, "name": "Capix", "slug": "capix", "former_names": [ "Supercool", "Blockfy", "Kubefy", "CapixAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2790b307969e113fe655dd576fbc316e90c13310.png", "website": "http://capix.ai/", "all_locations": "New York City, NY, USA", "long_description": "Capix makes finding private equity firms fast and accurate by aggregating and enriching data from multiple sources into one customizable platform.", "one_liner": "AI-powered private equity intelligence.", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1659418447, "tags": [ "Fintech", "Finance", "Sales Enablement" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/capix", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/capix.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/capixai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2790b307969e113fe655dd576fbc316e90c13310.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1006562, "full_name": "Bruno Jacob", "title": "Founder", "founder_bio": "Co-Founder of Capix. We automate deal sourcing for IB and PE", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bruno-jacob-40b6a9192/", "x_url": "https://twitter.com/bruno_supercool", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cce091e9255dd488d7632691a5add9e822228766.jpg" } ], "jobs": [ { "id": 78172, "title": "Social Media & Growth Intern", "url": "https://www.ycombinator.com/companies/capix/jobs/N7aREz2-social-media-growth-intern", "location": "New York, NY, US / Remote (US)", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$22 - $40 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 82289, "title": "Founding Senior Full Stack Software Engineer", "url": "https://www.ycombinator.com/companies/capix/jobs/cC4joeg-founding-senior-full-stack-software-engineer", "location": "New York, NY, US / Remote", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $260K", "equity_range": "0.50% - 5.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [] }, { "id": 26884, "name": "Alphawatch AI", "slug": "alphawatch-ai", "former_names": [ "StableBank", "AlphaWatch AI", "RaptorGrid" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/446e9f4bf87776b8fa9dfd70c551f35885fd6463.png", "website": "https://alphawatch.ai", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Rolo is a new product by Alphawatch AI allows deal teams to track and develop banker, GP, and target relationships.", "one_liner": "Relationship Coverage for Deal Teams", "team_size": 8, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1675123352, "tags": [ "Generative AI", "Finance", "Enterprise", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/alphawatch-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/alphawatch-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/alphawatch-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/446e9f4bf87776b8fa9dfd70c551f35885fd6463.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1048469, "full_name": "Jackson Chen", "title": "Founder", "founder_bio": "Founder at Alphawatch AI. Previously at Plaid & Google.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jchen8630/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/574e3ca529dc4c3fada2246d0ec1d57b06250e01.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 26907, "name": "Rima AI (formerly Garage)", "slug": "rima-ai", "former_names": [ "Garage Mobility Inc.", "Garage Mobility", "Garage" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/29768f3ec06f6ad6cbf8c250cca3501743daf869.png", "website": "https://www.getrima.ai", "all_locations": "Austin, TX, USA; Remote", "long_description": "Rima helps accountants automate document and spreadsheet work with accuracy and cell-level audit tracking.\r\n\r\nFor accountants that deal with messy docs and spend their time in Excel, Rima enables them to build workflows in natural language to extract and process financial data from PDFs or ERPs into their Excel templates and reconcile their spreadsheets in minutes. Accountants build these workflows once and our agents do the work for them going forward, preserving their institutional memory and know-how.", "one_liner": "Document and spreadsheet automation for accountants", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1657049263, "tags": [ "Finance", "B2B", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rima-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/rima-ai.json", "year_founded": 2021, "city": "Austin", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rimaai/", "x_url": "https://x.com/getrimaai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/rima-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/29768f3ec06f6ad6cbf8c250cca3501743daf869.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 533018, "full_name": "Gwanygha’a Gana", "title": "Founder", "founder_bio": "Gana in an ex-founder with experience building and investing in companies in the US and Africa. He holds a BS in Electrical Engineering and an MS in Data Science from Georgia Tech, and an MBA from Harvard Business School. He is a casual bartender.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ggana/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8260028903386f91b680a157e6d1b5778b3a640.jpg" }, { "user_id": 829336, "full_name": "Cedric Foudjet", "title": "Founder", "founder_bio": "Cedric is an ex-founder and Venture Capitalist with experience building and investing in companies in Africa and South East Asia. Cedric is also a self-taught cloud computing engineer with experience helping major fortune 500 companies execute digital transformations and build a new cloud native applications. On his free time he geeks over crypto and watches shows like Billions and Succession. Cedric holds a Bachelors of Science degree from Concordia College and an MBA from Wharton.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cedric-foudjet-0470064b/", "x_url": "https://twitter.com/cedricfoudjet?lang=en", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4159a1432de9399df2fe5da1eb4dff514b49f731.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101608, "title": "Rima: AI agents for document work accountants hate", "tagline": "Rima interviews accountants, captures their edge cases, and automates the manual work", "body": "Hey everyone👋🏽,\n\nIt’s [Gana](https://www.linkedin.com/in/ggana/) & [Cedric](https://www.linkedin.com/in/cedric-foudjet-0470064b/) from [Rima ](https://www.getrima.ai/)\n\n**TL;DR** \n\nOver 50% of accountants still receive client documents as email attachments, scans, and paper. They spend hours on formatting, data entry, and Excel wrangling before anything ever touches the ERP. Rima interviews these accountants, understands their edge cases and builds custom document workflows to automate this manual work. \n\n**ASK**: If you know accounting teams struggling with manual document workflows we’d love to speak with them - [founders@getrima.ai](mailto:founders@getrima.ai) \n\n**Launch Video** \n\n \n\n**_Problem_**\n\nWhen my mom's small business almost went bankrupt, it wasn't saved by software. It was saved by an accountant who used their brain to rescue the company. But today, these brilliant minds are stuck doing boring, repetitive work.\n\nOver 50% of accountants still get client files as emails, scans, and paper. They waste hours on data entry and broken spreadsheets. Generic AI only gets 55% of the way there because it was never trained on your client's edge cases. That's why accountants say AI is dumb. It's not. It just doesn't have their context yet. \n\nWe don't try to out-Claude Claude. We built Rima to solve the last mile: the library of edge cases (customer context) AI was never trained on so accountants can finally unlock its real value\n\n**_Our Solution_**\n\nRima **interviews accountants** until it understands exactly how they want things done and **captures their unique edge cases**. Then, it builds a custom workflow to handle that task. \\\n\\\nWe leverage what LLMs are good at - coding - and pair it with the **proprietary library of edge cases** that Rima collects across each client to build agentic workflows that are personalized and up to 99.7% accurate. \n\n![uploaded image](/media/?type=post&id=101608&key=user_uploads/533018/58582253-59ef-4bdd-b37e-7810d8c86ca5)\n\n\\\nRima learns from each client workflow and grows the library of edge cases over time. The end result is customers feel like Rima gets better and easier to use after every workflow. \n\n![uploaded image](/media/?type=post&id=101608&key=user_uploads/533018/eb9702ef-30bc-4604-ab86-033924c5b9f9)\n\n\\\nToday, accountants use Rima to automate workflows such as cleanups and catchups, bank and CC recon and data entry for tax workpapers among others. \n\nRima is best for accounting teams that still receive documents such as invoices, POs, statements and contracts via email attachments, scans or paper\n\n![uploaded image](/media/?type=post&id=101608&key=user_uploads/533018/2d51ab0c-e331-4e20-926e-0c10dd86352f)\n\n\n**_Our team_**\n\nWe worked closely with over 4000 small businesses while building a wholesale distribution business and our accounting back-office was a mess. We know how messy the data from SMB operations can be and understand the manual work their accountants go through to help these businesses thrive. \n\nToday accounting firms and in-house accounting teams are automating manual document workflows on Rima. \n\n**_Where we are headed_**\n\nWe’re on a mission to build the deepest edge case library, powering automations everywhere for SMB accounting teams. \n\n**_Our ASK - How you can help us_** 📌\n\n→ If you know in-house accounting teams struggling with manual document workflows we’d love to speak with them\n\nlearn more @ [www.getrima.ai](http://www.getrima.ai)", "url": "https://www.ycombinator.com/launches/QQq-rima-ai-agents-for-document-work-accountants-hate", "votes": 13, "created_at": "2026-05-20T01:26:05.918Z" }, { "id": 64499, "title": "Garage: Wholesale auto parts marketplace for Africa's 2M+ retailers", "tagline": "We're connecting the worlds largest parts distributors and manufacturers to retailers in Africa", "body": "Hello YC Family\n\nThis is Gana and Cedric, Co-founders at [Garage](https://www.garagemobility.com/).\n\n**At Garage, we are building the wholesale marketplace for auto parts in Africa**\n\n**Backstory**\n\nCedric and I are ex-founders with experience building, scaling and investing in startups in Africa. I used to buy and ship auto parts to my dad in Cameroon and realized that the landing cost once those parts arrived in Cameroon was still cheaper than buying locally. We realized that this issue was due to inefficiencies across the supply chain for parts distribution. Garage aims to solve this problem by building a wholesale marketplace that will power the $25B after sales market in Africa.\n\n**The Problem**\n\nOver $25B in auto parts sales in Africa occur at neighborhood retail shops. These retail shop owners are the backbone of the aftersales market yet they struggle to survive because\n\n* They have no visibility into which suppliers have which parts\n* Multiple layers of middle men and low buying power lead to inflated and volatile pricing\n* They don’t have enough working capital to grow their businesses\n\n**The Solution**\n\nGarage is a wholesale auto parts distributor for Africa, supporting these retailers. We aggregate parts from the largest suppliers in the world and deliver directly to retailers. We are building the largest auto tech platform to reduce the cost of car ownership in Africa by making auto parts more affordable and accessible.", "url": "https://www.ycombinator.com/launches/GmJ-garage-wholesale-auto-parts-marketplace-for-africa-s-2m-retailers", "votes": 18, "created_at": "2022-07-11T10:36:53.292Z" } ] }, { "id": 27157, "name": "Levers", "slug": "levers", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e063d5dc165bf3b68f24cb10ce208da833719fa6.png", "website": "https://uselevers.com/", "all_locations": "Jeddah, Makkah Province, Saudi Arabia", "long_description": "Levers is an accounts receivable management SaaS that helps B2B companies reduce overdue payments, accelerate cash collection, and boost cashflow. Our software integrates with your accounting system and streamlines your AR process using personalized reminders, cross-team collaboration tools, collection performance analytics, and more.\r\n", "one_liner": "Automating collection and boosting cashflow for B2B companies", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1656264787, "tags": [ "SaaS", "Finance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "Saudi Arabia", "Middle East and North Africa", "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/levers", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/levers.json", "year_founded": 2022, "city": "Jeddah", "country": "SA", "linkedin_url": "https://www.linkedin.com/company/uselevers/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e063d5dc165bf3b68f24cb10ce208da833719fa6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1008888, "full_name": "Ammar Alkhouli", "title": "Founder", "founder_bio": "Co-founder at Levers. Prior to that, I spent ~3 years working at a $500m VC fund in MENA. As one of the first hires, I wore many hats beyond investment and portfolio work including strategy, compliance, financial reporting, marketing, and HRM. I received my Bachelor's in Mathematics and Philosophy from Yale. \n\nI am a tinkerer at heart and love to seek out new experiences. I feel most at home by the sea, so you'll often find me looking for new diving spots, fishing, or trying to catch some waves", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ammaralkhouli/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/48667cceb98db0652d17f258ff3f5f5786f5b8fd.jpg" }, { "user_id": 778737, "full_name": "Motasim Zawawi", "title": "Founder", "founder_bio": "Co-founder at Levers. Previously I was a Product Manager at Mozn, where I built a SaaS AML/KYC product for financial institutions from scratch and led product strategy, sales, and marketing. Before that, I received my Bachelors in Mechanical Engineering from Stanford University in 2018. \n\nI enjoy building delightful products and love the outdoors, especially scuba and free diving 🤿 ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/motasim-zawawi-0a6b78b2/", "x_url": "https://twitter.com/MotasimZawawi ", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b668eb20d2ea49ab34360c4008303646a86bc770.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 27424, "name": "Mogara", "slug": "mogara", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2a699d0e9027eaebb6b3f1b637113ae21d3e655.png", "website": "https://mogara.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Mogara automates software R&D capitalization.\r\n\r\nWe replace accounting leaders chasing down engineers for timesheets with software that plugs directly into the developer workflow.\r\n", "one_liner": "Automatic software R&D capitalization ", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1674525873, "tags": [ "Finance", "B2B" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Inactive", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mogara", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/mogara.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mogara", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2a699d0e9027eaebb6b3f1b637113ae21d3e655.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 881211, "full_name": "Neha Shah", "title": "Founder", "founder_bio": "", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/hinehashah/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3296dc2bb716a451ec90d735d2a1f86c7066e9f9.jpg" }, { "user_id": 1050200, "full_name": "Jay Gokhale", "title": "Founder", "founder_bio": "_", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/jaygokhale/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ca28bea6812a76de8932d223cff67bffd30da11.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 70141, "title": "Mogara - Automatic software R&D capitalization 💰", "tagline": "We automate capitalizing software R&D expenses for accounting teams", "body": "**TL;DR** Mogara automates capitalizing software R&D expenses (now required for all software companies filing taxes in the US).  Let’s talk if you do accounting at a software company with 30+ engineers and are responsible for R&D capitalization.\n\n### **Problem**\n\nThe IRS made a change that impacts all software companies filing taxes in the US for the 2022 tax year and beyond: everyone needs to capitalize their software development costs.\n\nFor most accounting and engineering leaders, this is painful news: they’ll review projects over a quarter, determine what’s capitalizable based on the Internal Revenue Code, and send time tracking surveys for engineers to fill out on a quarterly basis. The time tracking surveys will need to be completed in order for accounting to close the books. \n\nRelying solely on issue trackers like Jira is not much better. Controllers say the fields they need aren’t reliably filled in, so they end up in a painful spiral of reminders - or falling back on time tracking surveys.\n\n### **Solution**\n\nMogara automates software R&D capitalization. Every software company filing taxes in the US now needs to capitalize software R&D, representing a $13B opportunity for a process that’s currently manual reporting.\n\n![uploaded image](/media/?type=post&id=70141&key=user_uploads/881211/c0f0c07e-517d-4a9f-a100-afe1683c747a)\n\n💻 Integrate with your software team’s IDE(s) & code repository for data collection\n\n⚙️ Connect with issue tracking tools like Jira for easy categorization\n\n💸 Tie in payroll data from your HRIS system to determine capitalizable costs for software development\n\n🔢 Set up and track capitalizable projects with a simple wizard interface\n\n### **How’d we get here?**\n\nWe’ve built simple user experiences for complex financial systems.\n\n![uploaded image](/media/?type=post&id=70141&key=user_uploads/881211/468ad4e6-2f34-4ec4-862d-f5f0ad664c5c)\n\nNeha worked as a product manager at Affirm building traceability and reporting for the company’s multi-million dollar daily money movements. She saw how tough it could be for the accounting team to get the data they needed from software teams.\n\nJay worked at Stripe as a product engineer for nearly 5 years after getting acquired as an early engineer at a startup called Index, where he worked on several complex regulated fintech products.\n\nWe met through a mutual friend last year and hit it off. We share a love for good pizza, making memes of Jay’s kid, and music. Together, we have over a decade of product development experience and we’ve been at companies from the early stages all the way through preparing for IPO.\n\n# **Ask**\n\nIf you do accounting at a software company with 30+ engineers and are responsible for R&D capitalization, let’s talk.\n\nDrop us a note at [founders@mogara.app](mailto:founders@mogara.app) or sign up on our [website](http://mogara.app).", "url": "https://www.ycombinator.com/launches/IFJ-mogara-automatic-software-r-d-capitalization", "votes": 34, "created_at": "2023-03-10T17:17:01.594Z" } ] }, { "id": 27702, "name": "Mulligan", "slug": "mulligan", "former_names": [ "Pyq", "pyq", "Pyq AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb7d742c0af1fc213b223ce6a9311844bfe178f6.png", "website": "https://insurestack.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Mulligan (now Insure Stack) is an end-to-end AI automation platform for commercial insurance brokers. Automates quoting, policy checking, proposals and more by up to 90%.\r\n\r\nIt was acquired in 2026 and is available here: https://insurestack.ai", "one_liner": "AI automation for insurance brokerages", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1669843803, "tags": [ "Documents", "Generative AI", "Finance", "Workflow Automation", "Insurance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mulligan", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/mulligan.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pyq-inc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb7d742c0af1fc213b223ce6a9311844bfe178f6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1013488, "full_name": "Aman Raghuvanshi", "title": "Founder", "founder_bio": "Prior to co-founding Mulligan, I worked at Sightly where I was the Director of Product. Studied Computer Science at Claremont McKenna College (through Harvey Mudd) and graduated in 2018. I enjoy watching F1, reading (mostly historical non-fiction that reads like fiction) and playing squash. I have three A.I. patents.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aman-r-b727976a/", "x_url": "https://twitter.com/araghuvanshi2", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/78d961fa5efd6183e9dfaadaa2a280b48de26f76.jpg" }, { "user_id": 1144997, "full_name": "Emily Dorsey", "title": "Founder", "founder_bio": "I previously worked on the HoloLens at Microsoft. I studied Computer Science and French at Harvey Mudd College, and graduated in 2018. I love reality TV, knitting, and baking. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emdors/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fc168471b772c1d5e3e31ab25be56966a474a04d.jpg" } ], "jobs": [], "news": [ { "title": "Florida’s Prestige Trucking Insurance Acquires Mulligan, an AI Automation Platform", "url": "https://www.insurancejournal.com/news/southeast/2026/04/09/865144.htm", "date": "Apr 09, 2026" } ], "launches": [ { "id": 94819, "title": "Mulligan: End-to-end AI automation platform for insurance brokers", "tagline": "Automate quoting, policy checking, proposals and more by up to 90%", "body": "**TL;DR** Mulligan is an end to end AI automation platform for commercial insurance brokers. Cuts time spent on quoting, policy checking, proposals and more by 90%.\\\nStart for free at [usemulligan.com](http://usemulligan.com)\n\n[Check out our launch video](https://drive.google.com/file/d/13cMUq8gAs5q-ZjXVqoS7SLv7pAC1ljYF/view?usp=sharing)!\n\n# **Intro**\n\nI’m Aman and we’re building Mulligan, the world’s first end-to-end AI automation platform for commercial insurance brokers. It automates Quoting, Policy Comparison, Proposals, Commissions and more. We work with dozens of brokers and have helped all of them scale their businesses without adding more employees.\n\n# **Problem**\n\nSelling and servicing commercial insurance is a complicated process to begin with, and the manual paperwork involved makes it difficult to scale profitably. Brokers have to spend hours reading lengthy documents, navigating ancient portals and formatting documents to fit into their internal systems.\n\nExisting automation tools typically only address narrow workflows and do not integrate with each other, which means that automating a brokerage involves juggling multiple solutions and integrations.\n\nThe end result is that brokerages spend hundreds of hours every week, and billions of dollars annually, on non-revenue generating tasks and outsourcing.\n\n# **Solution**\n\nMulligan assembles submissions, generates quotes from carrier portals, compares quotes and policies, generates proposals and handles commission statements in minutes, without needing your hands-on-keyboard. Here’s what it can do:\n\n### **Quoting**\n\nQuote from one of the largest selections of commercial lines insurance carriers for Commercial Auto, Workers’ Compensation, Business Owners’, General Liability and Trucking policies. Do so with minimal data entry and largely without human intervention. This makes it easy for an agent to get a more complete view of the market, do less data entry and spend more time with their customers.\n\nTo use it, select the carriers to quote, upload any documents that contain relevant data and click “Submit’’. Mulligan then logs into and produces draft quotes in each carrier portal, ready to review, edit and bind.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/6f26d394-1c38-4f97-a17e-99c397e184db)\n\n### **Policy Checking & Comparison**\n\nAnalyze quotes, binders or policies, compare across documents and identify gaps in coverage. Manually analyzing these documents used to take hours, if not days, and can now be done in minutes. This tool can be used to service existing customers, as well as to help close new ones by analyzing their existing policies and identifying areas of improvement.\n\nSimply upload docs, view them side-by-side, chat with them and match them to checklists to identify gaps.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/dbc87031-968d-4c02-8301-d77ee5cd94d3)\n\n### **Proposals**\n\nGenerate beautiful, branded proposals using quotes, policies and binders in minutes. These documents can be produced in Mulligan’s own design format, or using a template provided by the agency. The end result is a document whose style, content and tone showcases the agency’s professionalism and thoroughness.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/f393c554-a4f4-4485-8d9a-9e89bfe6248e)\n\n### **Submissions**\n\nProduce clean, complete and professional submissions to send to underwriters. Upload diverse documents such as loss runs, SOVs, vehicle and driver lists, and produce easily ingestible documents with just a few clicks. These submissions help portray the customer in the best possible light, and get processed by underwriters faster since they are well organized and easy to process.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/66ba3d38-9f05-4ae9-a64f-fccefee61a2c)\n\n### **Commissions**\n\nExtract commissions from lengthy statements and transform them into a format expected by most popular Agency Management Systems such as Applied Epic, AMS360, EZLynx, Veruna and more. Furthermore, review the values in the commission statement to check if there’s an underpayment from the carrier, or to reconcile the books faster.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/218d7bc3-1aa4-45d6-abb8-0ddabd48c31f)\n\n# **How to get started**\n\nIf you are an insurance agent working on commercial lines, or know someone who is, sign up at [usemulligan.com](http://usemulligan.com) for free and get started today. Mulligan has already been deployed across organizations of various sizes, and offers flexible pricing models that fit any budget.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/ac7eae38-9fd9-434a-924d-eadc97472b0c)\n\n", "url": "https://www.ycombinator.com/launches/OfL-mulligan-end-to-end-ai-automation-platform-for-insurance-brokers", "votes": 34, "created_at": "2025-10-22T16:15:47.880Z" } ] }, { "id": 27714, "name": "Palomma", "slug": "palomma", "former_names": [ "Pagaa" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6efa2d71f0a1a589e982662a2f6c1a1eab9c259b.png", "website": "http://www.palomma.com/", "all_locations": "Medellín, Antioquia, Colombia", "long_description": "Palomma is building the AI-native bank for real estate in LatAm. We start with AI agents for property managers (leasing, sales, collections), then add payments to own the flow of rent. This unlocks credit and insurance products to monetize on the $235Bn of rental flows from tenants and landlords.", "one_liner": "AI & financial services for real estate in LatAm, starting by rent", "team_size": 8, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction", "launched_at": 1677732513, "tags": [ "SaaS", "Payments", "Finance", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Real Estate and Construction" ], "regions": [ "Colombia", "Latin America", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/palomma", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/palomma.json", "year_founded": 2023, "city": "Medellín", "country": "CO", "linkedin_url": "https://www.linkedin.com/company/palomma/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6efa2d71f0a1a589e982662a2f6c1a1eab9c259b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 981886, "full_name": "Cipriano Echavarria", "title": "Founder", "founder_bio": "Colombian & Blue Devil (Go Duke!). Ex-Morgan Stanley, then helped scale Nubank into LatAm’s largest consumer bank.\n\nNow building the AI-native bank for real estate in LatAm, starting by rent.\n\nAvid soccer fan & squash player.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cipriano-echavarria-3729a9105/", "x_url": "https://twitter.com/ciprianoec11", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9be39bfc98063743b27b2b6010d723f7fbeb7446.jpg" }, { "user_id": 1161238, "full_name": "Nicolas Gomez del Campo", "title": "Founder", "founder_bio": "Mexican engineer building simpler bank payments for LatAm. I studied Computer Science at MIT and previously worked at JP Morgan developing systems for algorithmic trading. I enjoy training jiu jitsu in my free time.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ngomezdelcampo/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/70c7791ddaae161613ee7d1390e2bf5f784eb2e7.jpg" }, { "user_id": 1158727, "full_name": "Felipe Monsalve", "title": "Founder", "founder_bio": "Felipe Monsalve is a technical co-founder at Palomma. He moved from Colombia for his Bachelor's in CS & Econ, and stayed for his Master's in CS. In between schooling, and over the summers, he's gotten industry experience @ Meta, Bloomberg, and a few US + Latin American startups. More recently, at MIT, Felipe worked on a system for medical reporting of human rights violations in places with poor healthcare access. He's passionate about new technology and its impact on individuals.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/felipemon/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ded4d5d77d7c0ebf99f781150bb95c58c11a85f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 70053, "title": "Palomma 🕊️ - Frictionless Pay by Bank for LatAm", "tagline": "Frictionless Pay by Bank for LatAm! ", "body": "**TLDR**\n\n[Palomma](https://www.palomma.com/) helps online merchants and apps in LatAm save 70-80% on card processing fees and increase conversions, by enabling frictionless Pay by Bank for their customers (consumers and/or businesses).\n\n**The problem**\n\n1. Receiving card payments is expensive for merchants, it costs them between 2 to 5% per transaction\n2. Receiving the cheaper alternative, Pay by Bank, poses several frictions:\n 1. **Low conversion:** multiple steps are required to checkout via existing Pay by Bank solutions, resulting in a \\~40% failure rate\n 2. **Non-recurrent:** different from cards, existing Pay by Bank alternatives are hard to enable for recurring payments, requiring complex direct integrations with local banks\n 3. **Confirmation:** confirming a bank payment requires checking bank accounts in real-time, or trusting the proof of confirmation sent by the customer (fraud-prone)\n 4. **Reconciliation:** existing Pay by Bank data is cryptic: i.e., “68068407595”, making reconciliation difficult\n\n**The solution:**\n\nA single API and platform that allows online merchants or apps across LatAm (starting with Colombia) to receive frictionless Pay by Bank payments\n\n1. **Higher conversion:** 30-40% more conversion with frictionless Pay by Bank\n2. **Recurrent:** easily enable recurrent Pay by Bank payments\n3. **Confirmation:** allow your employees to instantly confirm bank payments via our dashboard and WhatsApp / email notifications\n4. **Easy reconciliation:** clearly identify each Pay by Bank payment in our dashboard\n\n![uploaded image](/media/?type=post&id=70053&key=user_uploads/981886/c6212d2c-0c67-4542-a1d7-0e4973f1567d)\n\n_PD: we´re also working on frictionless cash-out bank payments through our API & platform ;) 🔜_\n\n**Why are we building this?**\n\nDuring his time at Nubank, [Cipriano](https://www.linkedin.com/in/cipriano-echavarria-3729a9105/) personally saw the pain experienced by online merchants and apps with high card processing fees, and the friction around the cheaper, Pay by Bank alternatives.\\\n\\\nWith [Pipe](https://www.linkedin.com/in/felipemon/) & [Nico](https://www.linkedin.com/in/ngomezdelcampo/)´s tech, we´re changing that 🕊️\n\n**The ask:**\n\n1. If you’re an online merchant or app in LatAm looking to save on card processing fees, & receive Pay by Bank in a frictionless way, contact us: [cipriano@palomma.com](mailto:cipriano@palomma.com), or **\\+573146450404**\n2. Connect us to online merchants or apps in LatAm: [cipriano@palomma.com](mailto:cipriano@palomma.com), or **\\+573146450404**\n\n**YC deal:**\n\n1. **No fee:** 0$ in fees for the first 5000 transactions through Palomma for YC companies (or referrals of YC companies)", "url": "https://www.ycombinator.com/launches/IDt-palomma-frictionless-pay-by-bank-for-latam", "votes": 32, "created_at": "2023-03-08T18:59:35.984Z" } ] }, { "id": 27735, "name": "Numeral", "slug": "numeral", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7a499f6b96256283dc99bacb914267102619b349.png", "website": "https://www.numeral.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Numeral is the trusted solution for U.S. sales tax, VAT, and GST compliance, used by 3,500+ global businesses, including Eight Sleep, Supabase, and Brex.\r\n\r\nOur end-to-end platform keeps our customers compliant wherever they sell, with registrations, filings, calculations, and ongoing compliance support.\r\n\r\nNumeral’s AI-native solution covers more than 90 countries and tens of thousands of jurisdictions and is built for accuracy and scale.", "one_liner": "The AI-native sales tax solution.", "team_size": 130, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1672355505, "tags": [ "Fintech", "SaaS", "Finance", "Compliance", "E-commerce" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/numeral", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/numeral.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/numeralhq", "x_url": "https://x.com/numeral", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7a499f6b96256283dc99bacb914267102619b349.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 930846, "full_name": "Matt DuVall", "title": "Founder", "founder_bio": "Long-time product engineer, launched Stripe Checkout and Stripe Radar (2014-19), led teams on performance and product at Notion (2020-2022).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mduvall/", "x_url": "https://www.twitter.com/mduvall_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/66c57ea545cc4f0f7e603488c18f34b6d10d258a.jpg" }, { "user_id": 230362, "full_name": "Sam Ross", "title": "Founder", "founder_bio": "Founded an e-commerce studio that generated over $100M in revenue. Previously growth & product @ Airbnb and Teespring.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sambross/", "x_url": "https://twitter.com/spamross", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/05d3294b732399d1e2a6395660d10565c4af6e4a.jpg" } ], "jobs": [ { "id": 78001, "title": "Software Engineer (Product)", "url": "https://www.ycombinator.com/companies/numeral/jobs/xcF2zhm-software-engineer-product", "location": "HQ / New York, NY, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $300K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Node.js", "PostgreSQL", "React", "TypeScript" ] }, { "id": 81383, "title": "Software Engineer (Infra)", "url": "https://www.ycombinator.com/companies/numeral/jobs/tleXKdf-software-engineer-infra", "location": "San Francisco, CA, US / Remote", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - 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$400K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 114411, "title": "Software Engineer (Platform)", "url": "https://www.ycombinator.com/companies/numeral/jobs/AN4bV6V-software-engineer-platform", "location": "San Francisco, CA, US / New York, NY, US / Remote", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $300K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 116902, "title": "Strategic Finance Lead", "url": "https://www.ycombinator.com/companies/numeral/jobs/HFYTGC8-strategic-finance-lead", "location": "New York, NY, US", "type": "Full-time", "role": "Finance", "role_type": null, "salary_range": "$165K - $225K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Numeral raises $100m Series C for AI sales tax compliance", "url": "https://thenextweb.com/news/numeral-100m-series-c-insight-partners-ai-sales-tax", "date": "Sep 23, 2026" }, { "title": "Numeral raises $35M to automate sales tax with AI | TechCrunch", "url": "https://techcrunch.com/2025/09/18/numeral-raises-35m-to-automate-sales-tax-with-ai/", "date": "Sep 18, 2025" }, { "title": "Numeral: Building the Global Tax Platform", "url": "https://www.youtube.com/watch?v=5jHWBQqiylo", "date": "Sep 15, 2025" }, { "title": "Benchmark leads $18M deal in sales tax AI startup, Numeral", "url": "https://www.axios.com/pro/fintech-deals/2025/03/04/benchmark-sales-tax-ai-numeral", "date": "Mar 04, 2025" } ], "launches": [ { "id": 70649, "title": "Numeral - Ecommerce sales tax on autopilot", "tagline": "We do everything from registration to remittance.", "body": "TLDR: Numeral automates sales tax compliance for ecommerce stores. We do everything from registration to remittance.\n\n### **Problem**:\n\nIn 2018, the [Supreme Court ruled](https://en.wikipedia.org/wiki/South_Dakota_v._Wayfair,_Inc.) that states can require out-of-state merchants to charge sales tax.\n\nThis means Shopify stores are now required to register with up to 47 state agencies and potentially submit 47 monthly filings.\n\nAdditionally, there are over 13,000 local jurisdictions, each with their own complex set of rules and rates.\n\nIn Iowa, for example, Snickers bars are taxed, while Twix bars are tax-exempt because they contain flour. 🙄\n\nThe current solutions are confusing, self-serve products that offer little to no service.\n\n### **Solution:**\n\nNumeral automates the entire process for ecommerce sellers. Just connect your Shopify, Amazon, or other store and we handle the rest.\n\n* Registration: We can register companies in all 47 sales tax charging states.\n* Monitoring: We monitor for sales tax rate changes and automatically adjust your tax settings.\n* Filing: Lastly, we submit tax returns & payments on your behalf.\n\n![](https://lh5.googleusercontent.com/xkilm56kCWPHeUyHBIY4a-dsuiEyZgxaIoWV0bcsxo-WXl3fZxZ2qWf5D3I6xy0at4xZ8gvmkxmM245gEWXLIil-WFtvKERRMZmy22bsNB4A95owzOuA7mY1MC3FwQLB9A1gRsqPiG9o85HRpybvCaI)\n\n### **Why us?**\n\n**Kevin** - Kevin is a licensed CPA in the state of California. After working in Big 4 Accounting, Kevin went on to start multiple ecommerce businesses. Kevin and Sam co-own a Shopify brand that does $10M+ in annual revenue.\n\n**Sam** - Sam ran his own bootstrapped e-commerce studio that generated over $50M in revenue over the last 4 years. He previously worked in growth & product roles at Airbnb (W09) and Teespring (W13).\n\n### **Want to learn more?**\n\nIf you know any Shopify or ecommerce owners in general, we’d love to help get them compliant.\n\nSignup or book a demo here: ", "url": "https://www.ycombinator.com/launches/INV-numeral-ecommerce-sales-tax-on-autopilot", "votes": 38, "created_at": "2023-03-30T17:21:39.106Z" } ] }, { "id": 27812, "name": "Dataglade", "slug": "dataglade", "former_names": [ "Feather" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/744f46d0d325c233ded71498a19cdf197a21cade.png", "website": "https://dataglade.com", "all_locations": "New York City, NY, USA", "long_description": "Dataglade is the smart way to research stocks. Our AI generates clear analyses and financial models for any public company, and our fundamental data fulfills almost every research need. We save investors hours every day by eliminating the need to manually dig through financial filings. Customers trust our reports because every number is backed by citations to our proprietary financial data warehouse. We inform $1+ billion of trades every day, and we’re just getting started. Check us out at dataglade.com.", "one_liner": "The smart way to research stocks.", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1677170450, "tags": [ "Fintech", "Generative AI", "SaaS", "Finance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/dataglade", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/dataglade.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://linkedin.com/company/dataglade", "x_url": "https://twitter.com/dataglade", "fb_url": "https://facebook.com/dataglade", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/744f46d0d325c233ded71498a19cdf197a21cade.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 311219, "full_name": "Ash Rai", "title": "Founder", "founder_bio": "Ash is the Co-Founder and CEO of Dataglade. 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IIMK MBA '23.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rana-shubham/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/df097fa7152c36b0c538409433c601511db9fc98.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28099, "name": "Unstatiq", "slug": "unstatiq", "former_names": [ "Metahub (Undecided)", "Metahub" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ab6c0b2089b8ff3c6420e7f4f703ae0322fb997.png", "website": "https://www.unstatiq.com/", "all_locations": "San Francisco, CA, USA", "long_description": "There are billions of dollars of hospital waste caused by inefficient, disconnected supply chains and finance data. Today, clinics are facing unprecedented backorders, recalls, and purchase verticals (medical devices, SaaS, security, commodities). We are building a single product to 10x a fragmented industry with each tool built almost 20 years ago.", "one_liner": "Single source of truth for your clinic's finances and supply chain.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1675048534, "tags": [ "Health Tech", "Finance", "B2B", "Supply Chain" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Operations" ], "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/unstatiq", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/unstatiq.json", "year_founded": 2022, "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/5ab6c0b2089b8ff3c6420e7f4f703ae0322fb997.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 622718, "full_name": "Sachin Jaishankar", "title": "Founder", "founder_bio": "Getting the right data in the right places", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sachinjaishankar", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3092ec68d5fbe379a5ca26c98c3e86a6911f3f30.jpg" }, { "user_id": 558740, "full_name": "Nish Singaraju", "title": "Founder", "founder_bio": "Speeding up data integrations and transformations using AI. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nish-singaraju-9472ba175/", "x_url": "https://twitter.com/NishSingaraju", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fb57f376cf33cfddf992f9b0fb839489a48f6b7b.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28127, "name": "Benchmark", "slug": "benchmark", "former_names": [ "BidSight" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0dddc99c1f1c38c90b727d87cc7bb8d59dfad6be.png", "website": "https://withbenchmark.com/", "all_locations": "New York City, NY, USA", "long_description": "Benchmark is the trusted AI platform for investment firms. Today, leading firms use Benchmark to screen deals, extract insights from unstructured data, and automate workflows. Our platform combines cutting-edge AI with deep industry expertise to help investment firms make smarter, faster decisions across their entire deal lifecycle.", "one_liner": "Decision infrastructure for investment firms", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1673633463, "tags": [ "Fintech", "Finance", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "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/benchmark", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/benchmark.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://linkedin.com/company/with-benchmark", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0dddc99c1f1c38c90b727d87cc7bb8d59dfad6be.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/259b32bfd6dd0761d7dd67bbe6a758d3cdb23d6a.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1122874, "full_name": "Alec Dunn", "title": "Founder", "founder_bio": "Alec spent 5+ years working for one of the largest real estate investors in the world and is now on a mission to change how private market investors utilize their data.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alec-dunn-81555687/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c7b3f6f38061d4d0ecef46cd27ffb04b3bfc2eb3.jpg" }, { "user_id": 1120059, "full_name": "Connor Janson", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://linkedin.com/in/connorjanson", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ad12bef89f3955728298cb72c81b7325ca1e5a63.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 81006, "title": "Benchmark 📈 - The fastest way to screen deals & analyze investment data", "tagline": "The platform that allows you to screen deals in minutes rather than days.", "body": "**_TL;DR:_** _Benchmark is the fastest way to screen deals & analyze investment data. Benchmark efficiently extracts, organizes, and summarizes key information from any data source in seconds while automatically building a proprietary comp database. With Benchmark, decision-makers can capitalize on opportunities with unmatched speed and precision. Visit _[_https://withbenchmark.com_](https://withbenchmark.com)_ to accelerate your investment process today._\n\n_—_\n\nHey YC! We are Alec, Connor, and Josh, the co-founders of Benchmark. We are on a mission to change how private market investors screen investment opportunities and utilize data.\n\n### **❌ The Problem:**\n\nInvestment teams spend thousands of hours each year reviewing investment opportunities that die. When deals die, all of the precious data and context that was painstakingly collected is lost in old email chains and folders. This data is a gold mine for investment firms but is currently neglected. As a result, investment teams spend way too much time focusing on low-probability opportunities, digging through old files for comps, and redoing old analyses.\n\n### **✅ Our Solution:**\n\nBenchmark automatically extracts, normalizes, and summarizes deal data from any data source. Allowing investment teams to quickly screen deals, answer due diligence questions, build comps, and gather context. Benchmark’s single source of truth for deal data provides a huge competitive advantage for teams by minimizing the amount of time they spend on low-probability deals and building permanent institutional knowledge.\n\n### **❓ How it Works:**\n\n* **Upload deal documents**\n * Documents from any data source, whether internal or external, are securely parsed in minutes\n* **Instantly screen your deal**\n * Review deal summaries, key metrics, internal comps, due diligence question answers, and highlighted risks\n* **Dive deeper into any area of interest with Q&A**\n * Ask any question about the deal, and Benchmark will provide accurate answers with instantly verifiable sources, reasoning, and citations.\n* **Retain and analyze all of your data**\n * Upon upload, each file has key metrics extracted - transforming previously unstructured data into a structured database ready for any analysis\n\n![uploaded image](/media/?type=post&id=81006&key=user_uploads/1122874/8b8447dc-c49b-40cf-b413-4e59f97bd845)\n\n### **🙏 Asks:**\n\n* **Connect us** ([alec@withbenchmark.com](mailto:alec@withbenchmark.com)) with Private Equity Funds, Institutional Real Estate Investors, Private Credit Funds, or other private market investors.\n* **Test our product**: We would love to have you test our product if you do any private market investing yourself!", "url": "https://www.ycombinator.com/launches/L4Y-benchmark-the-fastest-way-to-screen-deals-analyze-investment-data", "votes": 44, "created_at": "2024-05-21T16:57:01.742Z" }, { "id": 68929, "title": "BidSight 🏗️ - Modernizing pre-construction for CRE developers", "tagline": "Eliminate costly errors and meet deadlines during pre-construction, with the first project management platform specifically built for CRE developers", "body": "### **Tl;dr**:\n\nBidSight makes it easy for commercial real estate (CRE) development teams to manage and collaborate on complex pre-construction workflows. Today, CRE developers manually track pre-construction workflows across hundreds of project documents, which leads to extremely costly errors. BidSight’s platform acts as a single source of truth for development teams, eliminating errors and saving them millions. [Learn more today!](https://www.bidsight.io/)\n\nHi everyone! We’re Alec, Connor, and Josh from [BidSight](https://www.bidsight.io/).\n\n![uploaded image](/media/?type=post&id=68929&key=user_uploads/1122874/e2f756ee-d963-4a1b-b098-b60906f34233)\n\n### **🚧 The Problem: The Pre-Construction process is broken**\n\nDuring pre-construction, commercial real estate developers rely on numerous stakeholders (architects, engineers, contractors, etc.) to help design, permit, and plan construction projects within their budget. However, development teams currently have to utilize a patchwork of non-specialized tools (email, excel, PDF editors, etc) to manage stakeholder workflows and output, creating error-prone, non-standardized, and siloed processes.\n\nThe current process forces development teams to recreate the wheel from scratch on every project and causes them to lose millions of dollars on each project due to error driven delays.\n\n### 📖**Background**\n\nAlec (CEO) spent 5+ years working for one of the largest commercial real estate developers in the United States and dealt with this problem on a daily basis. He spent a significant amount of time searching for a software solution that addressed his highly specific needs; however, none of the non-specialized tools in the market worked. After speaking with numerous other developers that faced the same problem, Alec decided to recruit Connor (ex-Square) and Josh (ex-Google), who have spent their careers developing software, to build the product he always wished he had.\n\n### **✅ Our Solution: Collaborative workflow and data management**\n\nA pre-construction specific workflow and data management platform that acts as the single source of truth for development teams.\n\n* **🧑‍🤝‍🧑Team Management**: Add your full team (internal and external) to a project, with clear permissions structures based on roles and responsibilities\n* **📅Schedule Management**: Create project schedules that update in real-time based on the completion of tasks\n* **📄Drawing & Document Management**: Upload all of your project drawings and our OCR engine will automatically categorize them, allowing for clear version control and change tracking\n* **✔️Task Management**: Assign, track and prioritize tasks, which are directly tied to project documents and deadlines\n* **♻️Templated Workflows**: Create templates and checklists for your specialized workflows to standardize processes\n\n![uploaded image](/media/?type=post&id=68929&key=user_uploads/1122874/12194d69-7dc5-4da1-8d19-bfd9c968d4e5)\n\n### **💰 Opportunity: Value beyond savings**\n\nIn 2022, $1.8 trillion was spent on construction in the United States. Recent studies have shown that 75% of construction projects are delayed and less than 1/3 of projects come within 10% of their original budget. This means that there are hundreds of billions of dollars wasted each year due to project delays! Rather than wasting these funds, they should be reallocated to enhance our built world.\n\n### **🙏Ask: How you can help**\n\n* [Connect us](mailto:sales@bidsight.io) to US based CRE developers in your network\n* [Share BidSight](https://www.bidsight.io/) with your network\n* If you are building a company within the real estate & construction space, we would love to connect to learn about your experience ([founders@BidSight.io](mailto:founders@BidSight.io))", "url": "https://www.ycombinator.com/launches/Hvl-bidsight-modernizing-pre-construction-for-cre-developers", "votes": 75, "created_at": "2023-02-01T16:27:56.777Z" } ] }, { "id": 28183, "name": "Metal", "slug": "metal", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0bdcc8475801e999a95ad750970c80614d23f5c4.png", "website": "https://metal.ai/", "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…", "team_size": 17, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1674209670, "tags": [ "Fintech", "SaaS", "Finance", "Investing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "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/metal", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/metal.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getmetal/about/", "x_url": "https://x.com/metal__ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/metal-6dfc", "github_url": "https://github.com/getmetal/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0bdcc8475801e999a95ad750970c80614d23f5c4.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": 1212950, "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/", "x_url": "https://twitter.com/T__Lowe", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fccb2375c2dc56e262189584fae495dfcca8f354.jpg" }, { "user_id": 506814, "full_name": "James O'Dwyer", "title": "Founder", "founder_bio": "Co-Founder of Metal", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jamesxodwyer", "x_url": "https://twitter.com/softboyjimbo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b49b1a7c0a4781597e822e509086005f86747ad.jpg" }, { "user_id": 412427, "full_name": "Sergio Prada", "title": "Founder", "founder_bio": "Co founder of Metal (metal.ai)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sergiopradamora/", "x_url": "https://twitter.com/sergioprada666", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/45999f4d54ac6c1f6f59743235bf6af0659728ff.jpg" } ], "jobs": [ { "id": 110016, "title": "Forward Deployed Engineer - Strategic Account", "url": "https://www.ycombinator.com/companies/metal/jobs/7zlvBO4-forward-deployed-engineer-strategic-account", "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": 28786, "name": "Accend", "slug": "accend", "former_names": [ "Accend Technology, Inc" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/31a4d8ba6cbc31b7799b329fce2d820cfe3ca234.png", "website": "https://www.withaccend.com/", "all_locations": "", "long_description": "Accend helps commercial banks and fintechs underwrite business customers faster, win more deals and increase revenue. We provide an end-to-end platform to automate document intake, financial statement / tax spreading, cash flow modeling, credit memos and portfolio management, with audit-ready AI and human-in-the-loop accuracy. Companies like Corpay, Brex, Rippling, Rho, Column, Settle, and many others have reduced application processing time by 80% with Accend, significantly enhancing their credit underwriting efficiency\r\n\r\nBefore starting Accend, the founders led Product & Engineering on the Risk team at Brex as well as at Deutsche Bank and Credit Suisse so they have firsthand experienced issues with operational efficiency in credit/underwriting teams. Accend has raised a $3.2M seed round from Y Combinator, Adverb Ventures, General Catalyst and 645 Ventures.", "one_liner": "AI agents for commercial underwriting at banks and fintechs", "team_size": 18, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1691559472, "tags": [ "Fintech", "Generative AI", "Finance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Fintech" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/accend", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/accend.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/withaccend", "x_url": "https://x.com/withaccend", "fb_url": null, "cb_url": null, "github_url": "https://github.com/accendhq", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/31a4d8ba6cbc31b7799b329fce2d820cfe3ca234.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": 225420, "full_name": "Pranjal Daga", "title": "Founder", "founder_bio": "Currently, Cofounder of Accend. Previously, I led Product for AI initiatives, particularly in Risk at Brex. Before that, I dropped out of my PhD in AI/ML at Purdue University to help set up Cisco Innovation Labs where I grew the team from 1 to 35 in 4 years. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/pranjaldaga", "x_url": "https://twitter.com/pranjaldaga1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5fbaed00548bb20d13e534a6e7c326bc083bbc4d.jpg" }, { "user_id": 290, "full_name": "Yutong Pei", "title": "Founder", "founder_bio": "Yutong Pei was most recently the Engineering Manager on the Fraud Risk team at Brex where he built the Disputes service, worked on fraud controls by managing engineers and data scientists. Previously, he has led Fraud Engineering and Security for IoTeX, Uber and Amazon.", "is_active": true, "linkedin_url": "https://linkedin.com/in/yutong-pei-81006842", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f223f8a49349d20972ce7cb0c3c3d7b58a55eda0.jpg" }, { "user_id": 1375156, "full_name": "Joseph Zhou", "title": "Founder", "founder_bio": "I'm one of the Co-Founders of Accend. Previously, I served as the CFO of a mobile gaming startup with a 50M ARR. I established the company’s operation in Europe and scaled the team from 0 to 80 members.", "is_active": true, "linkedin_url": "", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ae93e421d85c56c052a060a85eb805cb79834c5a.jpg" } ], "jobs": [ { "id": 69182, "title": "Full Stack Engineer", "url": "https://www.ycombinator.com/companies/accend/jobs/XxGbYZN-full-stack-engineer", "location": "San Francisco, CA, US / Remote (San Francisco, CA, US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $180K", "equity_range": "", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "Java", "Python", "React", "TypeScript", "TensorFlow", "Torch/PyTorch" ] }, { "id": 90944, "title": "Founding GTM (Account Executive)", "url": "https://www.ycombinator.com/companies/accend/jobs/d6ggx1f-founding-gtm-account-executive", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$65K - $120K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 99081, "title": "Accend For Banking", "tagline": "AI Infrastructure for End-to-End Credit Underwriting in Commercial Banks", "body": "```\nIntroduction\n```\n\nAccend for Banking is AI infrastructure that helps banks turn financial documents into structured financial models and credit insights — from hours to minutes.\n\nBuilt for commercial banks and CRE lenders, it sits inside existing credit workflows and removes the most manual parts of underwriting, so banks can move faster and win more deals.\n\n\n\n---\n\n```\nThe Problem\n```\n\nCredit underwriting in banks is slow because it still relies on legacy systems and outdated tools that haven’t evolved in decades.\n\nAcross most banks today:\n\n* Financial documents are collected across emails, portals, and shared drives\n* Borrowers upload tax returns, financials, and supporting documents across fragmented systems\n* Data is manually extracted and spread into Excel\n* Financial models are rebuilt repeatedly for each case\n* Credit memos are written from scratch every time\n* Monitoring and covenant tracking happen separately\n\nThese workflows are:\n\n* Fragmented across systems\n* Manual and time-intensive\n* Difficult to scale without adding headcount\n* Prone to inconsistencies and errors\n\nEven as lending demand has increased, the infrastructure supporting underwriting has remained largely unchanged for decades.\n\n---\n\n```\nWhat This Means for Banks\n```\n\nThe impact of these workflows goes beyond operations — it directly affects people, speed, and business outcomes.\n\n* Analysts spend hours on data preparation instead of credit decisions\n* Turnaround times slow down lending and delay decisions\n* Banks lose deals to faster competitors\n* Productivity is lost across the workflow due to repeated manual effort\n* Scaling requires adding headcount instead of improving systems\n\nAt a time when speed matters more than ever, these constraints make it harder for banks to compete.\n\n---\n\n```\nHow Accend Helps\n```\n\nAccend brings these fragmented steps into a single, structured workflow.\n\nWith Accend:\n\n* Borrowers upload tax and financial documents through a single secure link or connect their accounting systems\n* Automated requests and reminders keep document collection moving\n* Financial documents are parsed into structured, audit-ready data in minutes\n* Detailed schedules and supporting statements are captured with high accuracy\n* Property-level data (e.g., Schedule E, Form 8825) is broken down with full visibility\n* Cash flow models are generated instantly and mapped consistently\n* Credit insights and memos are built on top of structured data\n\nThis means:\n\n* Analysts spend time on credit decisions, not data preparation\n* Turnaround times shrink from hours to minutes\n* Teams can handle more volume without increasing headcount\n* Outputs remain consistent across deals\n\n---\n\n```\nHow Accend Works\n```\n\nAccend integrates into your existing credit workflow and processes each case end-to-end:\n\n**1. Document Intake**\n\nSend a secure link to borrowers to upload tax and financial documents, or connect directly to accounting systems. Automated requests and reminders ensure completeness.\n\n**2. Data Extraction & Structuring**\n\nAccend parses full tax packages in minutes — including 1040s, 1065s, 1120s, 1120-S, and supporting schedules — and converts them into structured, audit-ready data with source traceability.\n\n**3. Detailed Financial Spreading**\n\nFinancials are standardized across income statements, balance sheets, and cash flows. Supporting statements and add-backs are surfaced automatically.\n\n**4. Modeling & Analysis**\n\nData maps instantly into cash flow models. Teams can drill into sources, override values, run ratios, and leave notes — with every change tracked.\n\n**5. Configurable Financial Models**\n\nModels are configured to your bank’s policies — personal, business, global — ensuring consistency across teams while supporting complex analysis.\n\n**6. Monitoring & Covenant Tracking**\n\nOnce underwriting is complete, covenants are tracked automatically with scheduled tests, due dates, and alerts.\n\n---\n\n```\nGet Started\n```\n\nIf you work in credit, underwriting, risk, or lending operations, Accend helps you modernize your workflow without replacing your systems.\n\n[Schedule a call with Pranjal](https://calendly.com/pranjal-accend/30min), our co-founder, to learn more.\n\nOr explore Accend for Banking → ", "url": "https://www.ycombinator.com/launches/Pm5-accend-for-banking", "votes": 6, "created_at": "2026-03-25T15:22:34.058Z" }, { "id": 91587, "title": "Accend 2.0: The Future of Credit Underwriting", "tagline": "Accend helps banks and fintechs collect, spread and analyze financial data for faster and more accurate underwriting using human-in-the-loop AI agents", "body": "Today we’re launching **Accend 2.0** — our most ambitious release yet, designed to help financial institutions modernize how they **collect**, **spread**, and **analyze** financial data for underwriting.\n\nOur goal is simple: make underwriting radically faster, more accurate, and effortless for credit teams at banks and fintechs.\n\nhttps://youtu.be/YT6u7ahsSJE\n\n```\n🧨 The Problem\n```\n\nUnderwriting commercial credit still relies on slow, manual workflows — especially when it comes to handling borrower financials.\n\nCredit teams spend days:\n\n* Chasing borrowers for PDFs, Excel files, and accounting access\n* Manually spreading financials into internal formats\n* Creating credit memos from scratch\n* Spotting anomalies by gut feel or Excel checks\n\nThis workflow is not just inefficient — it introduces real risk. Missed red flags, errors in classification, or simply moving too slowly can result in bad loans or lost deals.\n\n```\n🧑‍💻 Who Faces This Problem?\n```\n\nThis problem is felt most acutely by:\n\n* **Fintech lenders** scaling underwriting ops\n* **Banks modernizing** legacy credit infrastructure\n* **Credit risk and underwriting teams** who are overloaded and under-automated\n\n```\n💡 Our Solution: Accend 2.0\n```\n\nWith Accend 2.0, lenders get a single platform to do the following:\n\n## **1. Frictionless Financial Data Collection with Accend Link**\n\nCollecting financials from borrowers is where friction often begins. That’s why we’re launching **Accend Link** — a borrower-facing portal that streamlines data collection from day one.\n\nBorrowers can:\n\n* **Link accounting software directly** — like QuickBooks, Xero, or NetSuite\n* **Or simply upload financials manually** — PDFs, Excel, whatever works for them\n\n🧘‍♂️ No more chasing documents.\\\n🔄 No more back-and-forth.\\\n📁 Just clean, accurate data — in the format you need.\n\n---\n\n## **2. Deep, Accurate, and Customizable Financial Spreading**\n\nOnce the data is in, Accend gets to work.\n\n* **AI-powered line-item classification**\n* **Ratio calculation and benchmarking** against industry standards\n* **Full analyst control** — reclassify line items on the fly and build custom ratios tailored to your credit policy\n\n📋 No spreadsheets. No version control nightmares. Just clarity.\n\n---\n\n## **3. Next-Gen Credit Memos, Built in Minutes**\n\nThis is where Accend 2.0 truly shines.\n\nWe automatically generate **credit memos** that combine:\n\n* 📄 **Business model summaries**\n* 📰 **Real-time financial news**\n* 📊 **Financial health analysis** powered by ratio performance\n\nIt's like having your smartest analyst prepare every memo — in minutes, not days.\n\nYour team gets faster turnaround times and deeper insights — without lifting a finger.\n\n---\n\n## **4. Proactively Flag Risk with Case Signals**\n\nWe’re also launching **Case Signals**, a feature that catches issues before they become problems.\n\nWith over a dozen automated checks — including:\n\n* Reconciliation mismatches\n* Volatility spikes\n* Abnormal ratio patterns\n\nAccend flags anomalies the moment they appear — so your team can act fast and stay ahead of credit risk.\n\n```\n📞 Ready to Modernize Your Underwriting Stack?\n```\n\nIf you’re a lender, bank, or fintech working on credit workflows — we’d love to show you how Accend 2.0 can supercharge your underwriting. See it in action live [HERE](https://www.accend.io).\n\nOr reach out to me directly at [**pranjal@withaccend.com**](mailto:pranjal@withaccend.com) to discuss anything AI x Credit Underwriting. Happy to help.", "url": "https://www.ycombinator.com/launches/NpD-accend-2-0-the-future-of-credit-underwriting", "votes": 6, "created_at": "2025-06-24T16:42:02.932Z" }, { "id": 88404, "title": "Accend - AI Credit Analyst For Business Underwriting", "tagline": "Human-in-the-loop AI Agents for Financial Statement Analysis", "body": "**TL;DR:** Accend is launching a new financial statement spreading and analysis, guaranteeing 100% accuracy powered by AI and human-in-the-loop review, saving time and costs.\n\n# **Why We're Building This?**\n\nCredit teams today face a massive problem: underwriting processes remain largely manual, painfully slow, and prone to costly errors. Across financial institutions, analysts spend hours manually spreading and analyzing financial statements, slowing down approvals and inflating operational costs. This isn’t just a minor inconvenience; it's a billion-dollar inefficiency affecting banks, fintechs, insurers and lenders globally.\n\nWe knew there had to be a better way—one where accuracy meets speed.\n\n# **Introducing Accend's Financial Statement Spreading & Analysis Solution**\n\n\n\nWe are expanding Accend into Credit Analysis, starting with financial statement spreading. \n\n✔️ **AI does the heavy lifting**—spreading financials with high accuracy and generating credit memos quickly.\\\n✔️ **Human-in-the-loop**—to complement our AI analysis so you get 100% accuracy, guaranteed.\\\n✔️ **Your underwriting team moves 10x faster**—reducing costs, errors, and approval times.\n\n# **Customer Spotlight**\n\nRussell Gu, Head of Credit Risk at Slope, shares his experience:\n\n> Accend offers the best solution for data-driven credit teams looking to maximize insights from financial documents. Their API solution and onshore time zone support accelerate financial review more than 4x.\n\n# **Who is Accend for?**\n\nAccend is purpose-built for credit leaders who demand excellence: underwriting teams at financial institutions committed to driving efficiency and precision across their credit operations.\n\n# **Why It Matters?**\n\nAccend delivers measurable ROI from day one:\n\n* **100% Accuracy:** Highly accurate AI coupled with expert human in the loop analysis – every spread is reviewed and validated by expert eyes.\n* **Rapid Approvals:** Reduce your application processing times by up to 80%, accelerating credit decisions.\n* **Cost Efficiency:** Dramatically lower your cost-to-serve by automating routine tasks.\n* **AI-Powered Credit Analysis:** Generate credit memos up to 10x faster, enabling teams to focus on high-value activities.\n\n![uploaded image](/media/?type=post&id=88404&key=user_uploads/225420/00a68be6-db43-4660-85b0-68c6d7b864da)\n\n# **Ready to Experience Accend?**\n\nTo celebrate our launch, we're offering your **first financial spread and analysis completely FREE**. Email us at [pranjal@withaccend.com](mailto:pranjal@withaccend.com) or [Schedule a call](https://calendly.com/pranjal-accend/30min-demo) to experience firsthand how Accend can revolutionize your credit processes.\\\n\\\nYou can also read this story on our company blog [here.](https://www.withaccend.com/blog/accend-launches-ai-credit-analyst-faster-underwriting-human-verified-accuracy)", "url": "https://www.ycombinator.com/launches/Mzs-accend-ai-credit-analyst-for-business-underwriting", "votes": 7, "created_at": "2025-03-10T15:50:04.217Z" }, { "id": 73980, "title": "Accend: Accelerate manual reviews for Fintech Ops & Compliance teams", "tagline": "Improve Ops Efficiency & Quality + Excel in Compliance with Accend", "body": "**TL;DR**\n\nAccend accelerates manual reviews and automatically generates regulatory reports for Ops & Compliance teams.\n\nB2B Fintechs and BaaS providers utilize Accend to save hours per manual process, such as KYB applications, Disputes, Transaction Monitoring, etc. \n\nIf you work in **Ops & Compliance at fintechs, we’d love to chat with you**. Please reach out at [**founders@withaccend.com**](mailto:founders@withaccend.com)\n\n![uploaded image](/media/?type=post&id=73980&key=user_uploads/225420/7582fece-a662-4123-b052-645eadcf2166)\n\n```\nHow we know this is a problem?\n```\n\nWhen we led Product & Engineering on Risk at Brex, we collaborated with Ops & Compliance teams on a daily basis. For Ops, one of the biggest pain points was declining Ops efficiency + quality of output. For Compliance, it was maintaining healthy relationships with banking partners and regulators. The reasons behind that were:\n\n1. **Complex Processes:** Expanding customer base led to complex reviews due to diverse profiles and services, complicating the process. Moreover, manual reviews are prone to errors and inefficiencies due to overwhelming data verification tasks.\n2. **Regulatory Compliance Burden:** Adhering to changing regulations in compliance (esp in KYC) required meticulous attention to detail, slowing down reviews.\n3. **Scaling via Outsourced Ops Teams:** We noticed a skills gap in outsourced teams regarding regulations and fintech processes, impacting review quality. Training them for consistency took significant time and investment.\n4. **Time-Consuming Regulatory Reports:** Creating detailed regulatory reports like Customer Due Diligence (CDD) and Enhanced Due Diligence (EDD) demanded significant time, complicated by language and cultural challenges, subsequently influencing the clarity and level of detail.\n\nThis posed \n\n1. **Business Risk** - suboptimal customer experience at the time of onboarding and worse, rejection of a legitimate customer, thereby losing revenue. \n2. **Compliance Risk** - hefty penalties (eg: Coinbase’s $100M fine), legal consequences, significant damage to the company's reputation, and even the potential loss of banking partnerships (existential crisis alert!).\n\nWe realized _Brex wasn’t the only fintech dealing with such risks tied to manual reviews_, and we started Accend to tackle these challenges head-on.\n\n```\nOur Solution \n```\n\nOur first use case is accelerating KYB manual reviews. It includes the following features:\n\n![uploaded image](/media/?type=post&id=73980&key=user_uploads/225420/324bc297-c392-4209-af77-19146a90b3e3)\n\n**Guided Review Workflow:** Accend simplifies the KYC procedure by converting the Standard Operating Procedure into a user-friendly, step-by-step guided review process for both internal and external Operations professionals.\n\n**Streamlined Online Research:** Instead of juggling numerous browser tabs to validate information about the business and its beneficial owners/controllers, Accend consolidates data through comprehensive web searches, presenting a summary for validation by Ops professionals.\n\n**Automated Due Diligence Reports:** Traditionally, crafting a CDD/EDD report can take up to 2 hours. Accend automates this process, generating high-quality narrative reports in the company's required template, thus saving valuable Operations time on a daily basis.\n\n**Audit Logs:** Accend establishes an audit trail for actions taken by Operations professionals and the automated processes during KYC manual reviews. This eliminates the need to scour various sources, extract logs, and document them, streamlining the auditing process\n\n```\nWhy Accend?\n```\n\nWith Accend, Fintechs can\n\n* Improve Ops’ quality of output with consistent procedures\n* Increase Ops’ efficiency with automation\n* Reduce cost in managing Ops teams \n* Maintain healthy relationships with banking partners and regulators\n\n```\nWho are we?\n```\n\n[Pranjal Daga](https://www.linkedin.com/in/pranjaldaga/) was most recently the Product Manager on the Risk team at Brex where he reduced fraud losses by $20M and worked on disputes, declines, login friction, etc. Before that, he dropped out of his PhD in AI/ML at Purdue University to help set up Cisco Innovation Labs where he grew the team from 1 to 35 in 4 years.\n\n[Yutong Pei](https://www.linkedin.com/in/yutong-pei-81006842/) was most recently the Engineering Manager on the Fraud Risk team at Brex where he built the Disputes service, and worked on fraud controls by managing engineers and data scientists. Previously, he has led Fraud Engineering and Security for IoTeX, Uber, and Amazon. \n\n[Joseph Zhou](https://www.linkedin.com/in/joseph-tianshi-zhou/) was most recently the CFO of a mobile gaming startup based in Singapore with a 50M ARR. He established the company’s licensed poker operation in Europe and scaled the team from 0 to 80 members, while also managing KYC, AML, compliance, responsible gaming, and fraud prevention.\n\n```\nOur ask \n```\n\nWe’re looking to connect with Ops & Compliance leaders at B2B Fintechs and BaaS providers to explore how Accend can help them improve Ops efficiency & quality and excel on compliance.\n\n```\nLaunch YC Promo\n```\n\nWe’re offering 60 days of free pilot for new customers through the end of August. \n\nWe will work with you regularly to learn about your process, create customized guided review workflows for your company and support you in every way while you’re using Accend.\n\n**Check us out at **[**https://www.withaccend.com/**](https://www.withaccend.com/)**, drop me a note at **[**pranjal@withaccend.com**](mailto:pranjal@withaccend.com)**, or **[**schedule a demo**](https://calendly.com/pranjal-accend/accend-design-partner-program)** to get started.**\n\nThank you 🙏", "url": "https://www.ycombinator.com/launches/JFE-accend-accelerate-manual-reviews-for-fintech-ops-compliance-teams", "votes": 57, "created_at": "2023-08-09T22:21:19.072Z" } ] }, { "id": 28811, "name": "Casca", "slug": "casca", "former_names": [ "CORE Ai", "Cascading AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/db0a05cec73fa1efa5d096d33cfcc210c8930955.png", "website": "https://www.cascading.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Casca is building AGI for Banking.\r\n\r\nOur first product is an AI-native platform transforming small business lending by enabling banks and lenders to originate 10x more loans with 90% less manual effort. We’ve found product market fit already serving top 10 US banks and are scaling our team very quickly.\r\n\r\nSmall businesses are the heart of the American economy. Many banks shy away from providing funding because of the manual effort in pursuing those deals. With us, that changes. We unlock affordable, quick bank funding for the 30M+ small businesses in the US who would otherwise be subject to the high interest rates from predatory online lenders.\r\n\r\nWe are a world-class team of banking & AI experts from Stanford, MIT & Y Combinator. We like to win and we know that the only thing between us and the title is our own ability to improve every day.", "one_liner": "Make Banking Magical", "team_size": 40, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1691481257, "tags": [ "Conversational Banking", "Fintech", "Machine Learning", "Finance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "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": "**Banking IT is broken**: 30 year old legacy systems, failing RPA projects and millions of people doing manual repetitive work. Over years in the industry, we saw how the financial industry was struggling to deal with mountains of unstructured data and failed to live up to customer expectations. Loan applicants have to go through humiliatingly slow application processes when they really needed someone to count on (no wonder look-to-book churn rates are at 65-80%) - the mania of manual workflows has to end\\\\Money runs the world. Banks are critical and we need fresh talent to shake up a $25T industry." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "**Unlocking $1T in value for global banks** and making banking magical for billions of customers" } ], "url": "https://www.ycombinator.com/companies/casca", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/casca.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cascading-ai/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/db0a05cec73fa1efa5d096d33cfcc210c8930955.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1361486, "full_name": "Lukas Haffer", "title": "Founder/CEO", "founder_bio": "Lukas is the CEO & Co-founder of Cascading AI. He previously served as Chief of Staff for the European Market at Avaloq (a globally leading provider of core banking software with $4 Trillion in Assets managed on the platform. Lukas holds an MBA from Stanford University, where he graduated as an Arjay-Miller Scholar (top 10%).", "is_active": true, "linkedin_url": "https://linkedin.com/in/lukashaffer", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2a855142800aa28353a0259b59092eec00fa218b.jpg" } ], "jobs": [ { "id": 79577, "title": "Don't See the Perfect Fit?", "url": "https://www.ycombinator.com/companies/casca/jobs/b5IKSoC-don-t-see-the-perfect-fit", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 97521, "title": "Technical Recruiter", "url": "https://www.ycombinator.com/companies/casca/jobs/7mHU8Y2-technical-recruiter", "location": "San Francisco", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 97523, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/casca/jobs/uDbuq7M-forward-deployed-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 97524, "title": "Head of Security & Compliance", "url": "https://www.ycombinator.com/companies/casca/jobs/of4eYL1-head-of-security-compliance", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97525, "title": "Director of Customer Support", "url": "https://www.ycombinator.com/companies/casca/jobs/KAmSBwh-director-of-customer-support", "location": "San Francisco", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Series A announcement", "url": "https://www.cascading.ai/company/series-a-announcement", "date": "Aug 19, 2025" }, { "title": "FIs Explore GenAI in SMB Lending Despite Customer Concerns", "url": "https://www.pymnts.com/news/artificial-intelligence/2024/financial-institutions-explore-generative-ai-potential-small-business-lending-despite-customer-concerns/", "date": "Feb 12, 2024" }, { "title": "Cascading AI Secures $3.9 Million in Pre-Seed Funding to Revolutionize the Banking Industry with its AI-native Loan Origination System", "url": "https://www.prnewswire.com/news-releases/cascading-ai-secures-3-9-million-in-pre-seed-funding-to-revolutionize-the-banking-industry-with-its-ai-native-loan-origination-system-302058481.html", "date": "Feb 09, 2024" }, { "title": "Bankwell Bank pilots generative AI in small-business lending | American Banker", "url": "https://www.americanbanker.com/news/bankwell-bank-pilots-generative-ai-in-small-business-lending", "date": "Feb 08, 2024" } ], "launches": [ { "id": 73899, "title": "🤖 Cascading AI - Automate manual banking processes", "tagline": "Lending, account opening, customer service, back-office processing ... ", "body": "Watch our launch video [here](https://youtu.be/NFJvgmm4lIs).\n\n**tl;dr**: _Banks, credit unions, and fintechs spend billions to train and employ staff to handle complex systems and ever-growing service portfolios. Our AI agents make your teams 10x faster by navigating existing systems, surfacing the right information, and even communicating compliantly with your customers._\n\n### **🏆THE TEAM**\n\n![uploaded image](/media/?type=post&id=73899&key=user_uploads/1361486/1a6a8344-6014-46dd-81da-a861bd539b7e)\n\n**Lukas Haffer** **(CEO, Stanford GSB 23)** spent the past 4 years deploying core banking systems and outsourcing banking processes as Chief of Staff for Europe at Avaloq (one of the world’s leading core banking system providers).\n\n**Isaiah Williams (CTO, Stanford CS 22)** spent the past 4 years building conversational AI and production ML applications as a Senior ML engineer at EliseAI (one of the world’s leading conversational AI companies).\n\n### \n\n### **WHAT CAN AI DO FOR BANKING?**\n\n**Lending & Onboarding**: 300,000+ loan officers spend hours on the phone or e-mail getting applicants to complete their applications before they churn to competitors - our AI agent Leo does not give up until he has all the documents he needs.\n\n> Even if we pre-qualify more applicants, we don’t close more loans - because my loan officers can only have one conversation at a time.\n\n![uploaded image](/media/?type=post&id=73899&key=user_uploads/1361486/3b366876-5474-45ab-ba82-ffd1d6a6d59b)\n\n**Customer service**: 30,000+ daily service requests present an insane challenge to the staff of a mid-sized bank, trying to navigate multiple outdated systems and product categories - our AI agent Tom navigates their systems, surfaces the right information, and drafts responses to your clients.\n\n> Customer support has become an insane job - my teams need to navigate 15 different systems just to help 1 customer.\n\n![uploaded image](/media/?type=post&id=73899&key=user_uploads/1361486/4cc6b719-7ac1-4321-95d1-e88f98d160d0)\n\n**Back-office**: at one bank 50,000+ payments are halted every day for reasons as simple as a typo in the recipient account ID - our AI agent Anna analyzes unstructured financial information to recommend resolutions.\n\n> Even with 99% STP-rates (straight through processing) in payments, we have to manually handle thousands of exceptions.\n\n![uploaded image](/media/?type=post&id=73899&key=user_uploads/1361486/c4385ccb-a65f-4e51-9c54-0f7b8ca54a54)\n\n### **❌ THE PROBLEM**\n\nAntiquated systems and manual exception handling slow down crucial banking processes, costing banks billions. Traditional robotic process automation (RPA) could not handle unstructured information. Traditional chatbots quickly reach their limits of usefulness. And custom ML applications take months (if not years) to develop from scratch.\n\n### **✅ OUR SOLUTION**\n\n_Cascading AI agents integrate with the bank's existing IT infrastructure (in their private cloud or on-premise), learn to use their systems, and work with unstructured financial data to automate core processes._\n\n### **HOW IT WORKS**\n\n1. **Our Agents have eyes**: we use computer vision to read documents & integrate with existing systems on a UI level in addition to your APIs\n2. **Our Agents can talk**: we use conversational AI to communicate with customers or colleagues via SMS, E-Mail, Slack, Teams, secure messaging, or ticket management systems\n3. **Our Agents know banking**: we monitor agents in human-in-the-loop systems and align them with banking regulation and compliance policies\n\n### **OUR ASK**\n\n* Connect us with Banks, Credit Unions, or Fintechs looking to automate manual processes and improve customer communication.\n* Book a [demo](https://calendly.com/lhaffer/30-min-meeting?month=2023-08) or email us at [lukas@cascading.ai](mailto:lukas@cascading.ai)\n* Follow Cascading AI on [LinkedIn](https://www.linkedin.com/company/cascading-ai)", "url": "https://www.ycombinator.com/launches/JDv-cascading-ai-automate-manual-banking-processes", "votes": 21, "created_at": "2023-08-08T15:24:50.943Z" } ] }, { "id": 29001, "name": "VectorShift", "slug": "vectorshift", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d30177551218ee02ced845873981b3eabea3ffe0.png", "website": "https://www.vectorshift.ai", "all_locations": "New York City, NY, USA", "long_description": "VectorShift is the AI operating system for private market investors.VectorShift is the AI operating system for private market investors. We capture a firm's institutional knowledge across every deal, decision, and diligence finding, and put it to work across data room analysis, IC memos, portfolio company monitoring, and LP reporting.", "one_liner": "AI Operating System for Private Market Investors", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1690889498, "tags": [ "Generative AI", "Finance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "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/vectorshift", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/vectorshift.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vectorshift/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d30177551218ee02ced845873981b3eabea3ffe0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1325593, "full_name": "Alexander Leonardi", "title": "Founder", "founder_bio": "CEO at VectorShift. Previously Private Equity Data Science Analyst at Blackstone, where he evaluated private equity transactions, deployed AI/ML solutions for portfolio companies, and helped establish Blackstone's perspectives and capabilities surrounding Generative AI. AB/SM in Statistics & Computer Science from Harvard. Grew the Harvard College Consulting Group >200% YoY to >$1m annual revenue as CEO.", "is_active": true, "linkedin_url": "https://linkedin.com/in/alexanderleonardi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/91bea6df6070a17a29e0a91649ece6dcc5626f9f.jpg" }, { "user_id": 1325592, "full_name": "Albert Mao", "title": "Founder", "founder_bio": "COO at VectorShift. Former Tech GTM / product consultant at McKinsey. Studied Statistics at Harvard '21. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/albert-mao-8b263aa2", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6aec6e2f788263864b7ff20d1128e082cfcb041b.jpg" } ], "jobs": [ { "id": 105812, "title": "Product Marketing Manger", "url": "https://www.ycombinator.com/companies/vectorshift/jobs/8EwAk1Y-product-marketing-manger", "location": "New York, NY, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$125K - $200K", "equity_range": "0.10% - 0.30%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 111159, "title": "Business Operations Manager", "url": "https://www.ycombinator.com/companies/vectorshift/jobs/BhOugS9-business-operations-manager", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "0.10% - 0.30%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 111229, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/vectorshift/jobs/AoLXZOp-chief-of-staff", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$125K - $175K", "equity_range": "0.10% - 0.30%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 114424, "title": "Founding Account Executive — Financial Services", "url": "https://www.ycombinator.com/companies/vectorshift/jobs/Pg8QCTY-founding-account-executive-financial-services", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $160K", "equity_range": "0.10% - 0.30%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Exclusive: VectorShift raises $3M to modularize LLM application development | VentureBeat", "url": "https://venturebeat.com/ai/exclusive-vectorshift-raises-3m-to-modularize-llm-application-development/", "date": "Feb 21, 2024" } ], "launches": [ { "id": 84731, "title": "VectorShift: No-Code AI Automations Platform", "tagline": "Build AI assistants and workflow automations in no-code.", "body": "[VectorShift](http://www.vectorshift.ai/) is a no-code AI automations platform. Teams leverage AI through VectorShift’s no-code interface to search through knowledge bases, automate workflows, and deploy AI chatbots and assistants without needing to code or having knowledge about AI. \n\n\n\n**VectorShift Platform**\n\nThrough drag-and-drop components, VectorShift’s no-code builder allows you to: \n\n* Use a flexible “visual programming language” to prototype, build, deploy, and manage LLM apps.\n* Allow AI workflows to leverage a knowledge base with your data (e.g., files, documents, website). Knowledge bases can live-sync with your data wherever it sits (e.g., Google Drive, OneDirve, Notion, etc.).\n* Define triggers that automatically run workflows (e.g., Slack message / Email) and allow workflows to perform actions (e.g., write a notion document).\n* Place interfaces on workflows that you build (e.g., chat, forms, search engine, bulk runs, voice, etc.).\n* Maintain enterprise-grade security - VectorShift is SOC2 Type 2, GDPR, and HIPPA compliant.\n\n \n\n**Enterprise Search Product Launch**\n\nToday, VectorShift launches its unified Enterprise search product. Connect to all your team’s tools (e.g., Google Drive, Notion, Slack) for a single place to securely search/chat with your documents. \n\nWith VectorShift, you can:\n\n1. Choose your preferred LLM model provider or leverage your own.\n2. Live-sync with your data wherever it sits. VectorShift will automatically transform, optimize, and enhance your data based on source and type (e.g., PDFs, tabular data, images, etc.) to significantly improve retrieval accuracy.\n3. Granularly site all answers generated by AI with 1) document source/type, 2) chunks used, and 3) page numbers/sheet names. \n4. Utilize advanced retrieval methods - e.g., re-ranking, hybrid search, advanced data extraction/processing models, metadata filtering, and query optimization. \n5. Leverage enterprise-grade permissioning to deploy the AI search engine directly to your organization.\n\nStep 1: After connecting all your data in a knowledge base, fully customize the interface with your branding. \n\n![uploaded image](/media/?type=post&id=84731&key=user_uploads/1325592/1a4c3232-6a32-49a9-96d9-de20ec7fe607)\n\nStep 2: Securely search and ask questions to all your data in one place.\n\n![uploaded image](/media/?type=post&id=84731&key=user_uploads/1325592/b4524000-2cd5-4b3e-9d70-ad9ea4f2f019)\n\nStep 3: Deep dive into results by chatting with retrieved documents. \n\n![uploaded image](/media/?type=post&id=84731&key=user_uploads/1325592/26f8cf49-4011-44e0-a24c-d731890cd384)\n\n**About Us:**\n\nAlex Leonardi: BA/MS in Statistics & Computer Science from Harvard. Previously, Private Equity Data Science Analyst at Blackstone, where he deployed AI/ML solutions for portfolio companies and helped establish Blackstone's perspectives and capabilities surrounding Generative AI.\n\nAlbert Mao: BA in Statistics at Harvard. Albert worked at McKinsey, where he helped Fortune 500 organizations digitally transform and revamp the GTM motions and products of multiple enterprise software companies. \n\n**The Ask:**\n\n* Try VectorShift: \n* If you are interested in discussing further, book a demo here: . We provide hands-on support in identifying, building, and deploying AI solutions.", "url": "https://www.ycombinator.com/launches/M2d-vectorshift-no-code-ai-automations-platform", "votes": 18, "created_at": "2024-10-16T11:23:50.769Z" }, { "id": 80383, "title": "VectorShift: No-code generative AI platform", "tagline": "Build AI assistants and workflow automations in no-code", "body": "[VectorShift](http://www.vectorshift.ai/) is a no-code generative AI platform. Teams leverage AI through VectorShift’s no-code interface to search through knowledge bases, automate workflows, and deploy AI chatbots and assistants without needing to code or having knowledge about AI. \n\n[ ](https://www.youtube.com/watch?v=t18ySXNDYvs)\n\n**VectorShift Platform**\n\nThrough drag-and-drop components, VectorShift’s no-code builder allows you to: \n\n* Use a flexible visual programming language to prototype, build, deploy, and manage LLM apps.\n* Allow AI workflows to leverage a knowledge base with your data (e.g., files, documents, website). Knowledge bases live-sync with data across your tools (e.g., Google Drive, OneDrive, Notion, etc.).\n* Define triggers that automatically run workflows (e.g., Slack message) and allow workflows to perform actions (e.g., write a notion document).\n\nHundreds of companies across healthcare, finance, technology, education, logistics, and professional services already use VectorShift in production. Here are some real-life examples: \n\n* Startups (including multiple YC startups!) use VectorShift to power the “backend” of their **AI product features**.\n* A European conglomerate uses VectorShift to **automate report writing** for clients.\n* A professional services firm for the US government uses VectorShift to **automate RFP proposals** and **search through their contract library** to answer queries.\n* A healthcare education company uses VectorShift to create a **chatbot** to answer patient questions leveraging their extensive knowledge base.\n* A large technology company built an **internal support assistant** to answer questions about employee policies\n\nAnd much more…\n\nOther use cases our customers have in production: document analysis at scale, scraping internet data, content creation, and automatically sending personalized outbound emails.  \n\n**Chat / Assistant Interface Product Launch**\n\nIn building our no-code builder, users requested a way to place interfaces on workflows so they can automate workflows end to end. Today, we are launching VectorShift’s assistant product!\n\nStep 1: After building an AI workflow, place a chat / AI assistant-style interface in your workflow.\n\n![uploaded image](/media/?type=post&id=80383&key=user_uploads/1325592/7dc154c9-2642-41f4-8342-43b5cf74590f)\n\nStep 2: Fully customize the interface with your branding to share chat assistants internally or export to end-users / clients via URL, iFrame, Whatsapp / SMS, API, or as a Slack bot.\n\n![uploaded image](/media/?type=post&id=80383&key=user_uploads/1325592/7c67a1e3-e464-410d-ac95-6c8352cc110d)\n\nStep 3: Manage your production app by viewing collected data and analytics.  \n\n![uploaded image](/media/?type=post&id=80383&key=user_uploads/1325592/73cbd04f-6fc2-4f81-b794-b086a3af5e62)\n\n**About Us:**\n\nAlex Leonardi: BA/MS in Statistics & Computer Science from Harvard. Previously, he was a Private Equity Data Science Analyst at Blackstone, where he deployed AI/ML solutions for portfolio companies and helped establish Blackstone's perspectives and capabilities surrounding Generative AI.\n\nAlbert Mao: BA in Statistics at Harvard. Albert worked at McKinsey where he helped Fortune 500 organizations digitally transform along with revamping the GTM motions and products of multiple enterprise software companies. \n\n**The Ask:**\n\n* Try VectorShift: \n* If you are interested in discussing this further, book a demo here: . We provide hands-on support in identifying, building, and deploying AI solutions.\n\n![uploaded image](/media/?type=post&id=80383&key=user_uploads/1325592/393b980e-d835-4fbc-aee9-1ab57672b0e3)\n\n", "url": "https://www.ycombinator.com/launches/KuV-vectorshift-no-code-generative-ai-platform", "votes": 18, "created_at": "2024-04-24T14:55:24.660Z" }, { "id": 77798, "title": "VectorShift - The AI Automation Platform", "tagline": "Leverage AI in building automated workflows in a no-code interface or through a Python SDK.", "body": "[VectorShift](http://www.vectorshift.ai/) is an AI automation platform. Teams leverage AI through VectorShift’s no-code interface or Python SDK to search through knowledge bases, generate documents, and deploy chatbots and assistants. We give all organizations the ability to build enterprise-grade AI applications.\n\n[ ](https://www.youtube.com/watch?v=WWS0uj-ed8U)\n\n# **VectorShift Platform**\n\nThrough drag-and-drop components, our no-code builder allows you to: \n\n* Connect different nodes like LLMs, data loaders, vector databases, and more.\n* Create a knowledge base of your data (e.g., CRM, Notion database, files) or live sync with your data sources to leverage within AI pipelines.\n* Create automations that trigger the running of pipelines (e.g., Slack message / Email) and allow pipelines to perform actions (e.g., write a notion document).\n* Deploy your pipeline through a chat interface with just a few clicks. Share chat assistants internally, or export to end-users via URL, WhatsApp / SMS, or API.\n\n![uploaded image](/media/?type=post&id=77798&key=user_uploads/1325592/3a8a510a-c672-49cb-82a6-4182d368295d)\n\n# **What are real examples of companies using VectorShift in production?**\n\n* A startup uses VectorShift to power the “backend” of their **AI product features**.\n* A European conglomerate uses VectorShift to **automate report writing** for clients.\n* A professional services firm for the US government uses VectorShift to **automate sales proposals** and **search through their contract library** to answer queries.\n* A healthcare education company uses VectorShift to create a **chatbot** to answer patient questions leveraging their extensive knowledge base.\n* A large technology company built an **internal support assistant** to answer questions about employee policies.\n\nAnd much more…\n\nTo name a few: document analysis, scoring resumes, drafting patents and legal documents, and automatically sending personalized outbound emails.  \n\n# **Python SDK Launch**\n\nIn building our initial product line, users requested a way to interface with our platform through code, so we’ve built a Python SDK for working with our various product lines. Now, you can access functionality present in our no-code platform directly through your IDE. Using the SDK, you can:\n\n* Fetch, edit, save, and run your pipelines and chatbots. Run your AI workflows and use your preferred version-control system to work with your VectorShift-managed AI pipelines in code.\n* Load and query your vector stores, and add new indices to index your data.\n* Work with any connected integrations, like Notion, OneDrive, Slack, etc.\n\nAny changes you save through the SDK will automatically update in the no-code platform so you can enjoy complete interoperability between the two interfaces. You can view the documentation for our SDK here: \n\n# **About Us:**\n\n[Alex Leonardi](https://www.linkedin.com/in/alexanderleonardi/): BA/MS in Statistics & Computer Science from Harvard. Previously Private Equity Data Science Analyst at Blackstone, where he deployed AI/ML solutions for portfolio companies and helped establish Blackstone's perspectives and capabilities surrounding Generative AI.\n\n[Albert Mao](https://www.linkedin.com/in/albert-mao-8b263aa2/): BA in Statistics at Harvard. Albert worked at McKinsey where he helped Fortune 500 organizations digitally transform along with revamping the GTM motions and products of multiple enterprise software companies. \n\n![uploaded image](/media/?type=post&id=77798&key=user_uploads/1325592/2f4a1481-ae88-43b8-b699-bc48a0f70ff2)\n\n# **The Ask:**\n\n* Try VectorShift: \n* If you are interested in discussing further, book a demo with us here: . We are always happy to help iterate with you on use cases!", "url": "https://www.ycombinator.com/launches/KEo-vectorshift-the-ai-automation-platform", "votes": 25, "created_at": "2024-01-24T14:40:19.860Z" }, { "id": 73759, "title": "VectorShift: No-code LLM workflow builder", "tagline": "We let you design, integrate, and deploy internal LLM tools in minutes", "body": "[VectorShift](http://www.vectorshift.ai/) is a no-code platform that lets teams quickly create AI workflows. Enterprises use us to build internal tools to generate marketing copy, proposals, and RFP responses. Startup teams use us to automate workflows such as writing personalized emails and deploying chatbots.\n\n[ ](https://www.youtube.com/watch?v=tKhVKJGOqDM&ab_channel=AlbertMao)\n\n**Introduction**\n\nThis is [Alex Leonardi](https://www.linkedin.com/in/alexanderleonardi/) and [Albert Mao](https://www.linkedin.com/in/albert-mao-8b263aa2/) - we studied CS and statistics together at Harvard and previously, we grew a business >200% Y/Y to 7 figures as CEO and CRO. During that time, we realized that our sales reps were spending more than half their time 1) writing proposals, 2) writing personalized outreach emails, and 3) researching prospects. If we could automate these workflows, we would be able to reach more leads and grow faster!\n\nHowever, there was no way to build these custom generative AI workflows at scale, meaning that we had to build all of our tooling from scratch. That's why we built VectorShift - it is what we wished we had when running our previous business.\n\n**VectorShift Platform**\n\nOur platform’s core features include:\n\n* **Pipeline Builder:** Connect different nodes like LLMs, data loaders, vector databases, and more.\n* **File Handling:** Pass files as inputs and save them as outputs while using pipeline nodes to parse their meaning.\n* **Deployment Acceleration:** A marketplace of pre-built workflows, easily customizable for your needs.\n* **Reusable Components:** Use previous pipelines as nodes in new ones, allowing quick reuse of existing functionality.\n* **Chatbot Creation:** Convert any pipeline into a Chatbot with just a few clicks.\n* **API Integration:** Run pipelines and chatbots easily with API calls.\n* **Public Marketplace:** Run pipelines that other users have already refined, and publish your own pipelines for others to use.\n\nOur pipeline builder allows the user to quickly connect different components needed in a generative AI workflow. For example, sales reps use VectorShift to replicate the logic they use to write account proposals and reclaim hours of time every day.\n\n![](https://lh4.googleusercontent.com/9Tn6V3lthGLkz2zdpQWlkiSt2CRQpVJXdB8dNREiJhl81zIsMhGwx7EQhMP3Wy5YqGeW9QE3n0Sn2zzw0jyVsYRVKmUhnkNl6oI37RuxWOBCZYNX7NtJX-hzqrXlAtlHKk9vUD2Laod0fiGa8z5RNXw)\n\nIn addition to providing the building blocks of building any generative AI workflow, we further accelerate the deployment process by offering a marketplace of pre-built workflows. Want a pipeline that generates personalized emails? We already have one built for you to modify to your liking. \n\n![](https://lh5.googleusercontent.com/_TH3ixjhoNzuK5EyaDje9ZHVauXOOvSB4BeUTj2GJq_UIQqjlSG1y7Ang05A5rIxm9y05emBo4IhQHD5pj7QZJfDp2oDsM7qtTGXIgLTlDhLoV806oUMNvUmAqlr9VKD854q2SBiJjMcKisdpRxF62w)\n\n**About Us:**\n\nAlex Leonardi: BA/MS in Statistics & Computer Science from Harvard. Previously Private Equity Data Science Analyst at Blackstone, where he deployed AI/ML solutions for portfolio companies and helped establish Blackstone's perspectives and capabilities surrounding Generative AI.\n\nAlbert Mao: BA in Statistics at Harvard. Albert worked at McKinsey where he helped Fortune 500 organizations digitally transform along with revamping the GTM motions and products of multiple enterprise software companies.\n\n![](https://lh6.googleusercontent.com/f6DnmkT0xpTnl7giTjYMudF1rSwAsHDIkmTow46kXAe3OzltO0z_MFNG0_AMCd1BfgDOOfwR4yXzdhUioBdi5OHV4ii7KCeZpW_okkP_UfgUQ4ikpmAv7pRXJ1TVX8XNuQYsPHBOTVh5IQkei7O7Vro)\n\n**The Ask:**\n\n* Try VectorShift for free: \n* If you are interested in discussing further, book a demo here: . We are happy to help iterate with you on potential use cases!", "url": "https://www.ycombinator.com/launches/JBf-vectorshift-no-code-llm-workflow-builder", "votes": 157, "created_at": "2023-08-03T15:10:51.548Z" } ] }, { "id": 29071, "name": "Cedalio", "slug": "cedalio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/253ca8c2833042159f28652e47d94970cc10b5cc.png", "website": "https://cedalio.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Cedalio is the AI agent platform for the Office of the CFO. We automate procurement, AP, and the data flows behind them — from invoice intake to 3-way match to payment — so finance teams stop doing the work and start governing it.", "one_liner": "AI agents that automate AP, procurement, and finance", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1685752888, "tags": [ "Fintech", "Finance", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cedalio", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cedalio.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cedalio/", "x_url": "https://twitter.com/CedalioTech", "fb_url": null, "cb_url": null, "github_url": "https://github.com/cedalio/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/253ca8c2833042159f28652e47d94970cc10b5cc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1337055, "full_name": "Luciana Reznik", "title": "Founder", "founder_bio": "Luciana is CEO at Cedalio, the AI agent platform for the Office of the CFO. Cedalio automates procurement, accounts payable, and the data flows behind them. Software engineer originally from Argentina, living in the Bay Area since 2018. Previously co-founded Wolox, an end-to-end digital solutions company that was acquired by Accenture in Jan 2021.", "is_active": true, "linkedin_url": "https://linkedin.com/in/lucianareznik", "x_url": "https://twitter.com/LucianaReznik", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b87defc43b3b56797ee4aec96ae067a37e1bbd7a.jpg" }, { "user_id": 1355920, "full_name": "Nico Magni", "title": "Founder", "founder_bio": "Hello! I'm Nico Magni, the Chief Product Officer (CPO) at Cedalio, a database that tracks every application data change, and maintains an immutable and verifiable history. As a software engineer, I am passionate about building innovative solutions that tackle real-world challenges. \n\nI had the opportunity to sell my previous company to Accenture, where I gained invaluable experience in successfully scaling and delivering high-quality products.\n\nCurrently based in Patagonia, Argentina.", "is_active": true, "linkedin_url": "https://linkedin.com/in/nicomagni", "x_url": "https://twitter.com/nicomagni", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b50b0e99062e30e6076be3a4f9199d4d49e1f1c6.jpg" }, { "user_id": 1355935, "full_name": "Guido Marucci Blas", "title": "Founder", "founder_bio": "CTO & co-founder at Cedalio. Previously CTO & co-founder at Wolox (acquired by Accenture). Argentinean. Passionate about building amazing developer experiences, lowering the barrier to entry to web3 and working in the intersection of developer tools and data privacy. When I'm not working I love going outdoors ⛰️, playing the guitar 🤘 and hanging out with friends! ", "is_active": true, "linkedin_url": "https://linkedin.com/in/guidomb", "x_url": "https://twitter.com/guidomb", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e690e1ce5a76e9f177c6960b95b28ba7dc9ee2c0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 75973, "title": "Cedalio: where sustainability meets data", "tagline": "Unify, automate, verify — your trusted data platform for ESG", "body": "Dear YC Community,\n\nWe're elated to present our latest offering. Cedalio's core technology has always been centered around a blockchain-enabled database ensuring data **transparency, verification, and integrity**. With our latest launch, we've taken this a step further.\n\n![uploaded image](/media/?type=post&id=75973&key=user_uploads/1337055/0181388c-9132-4361-9ee1-31ad7602713f)\n\n\\\nKey Features:\n\n* **AI data extraction:** Leverage our AI-powered data extraction capabilities to seamlessly collect information from various sources – from utility bills to supplier forms. Our automated consolidation feature integrates with your existing systems, centralizing all data into a single source of truth. Say goodbye to manual data wrangling and hello to real-time, centralized information.\n* **Radical Transparency:** Trust is the foundation of sustainability. Our platform leverages blockchain technology to create an immutable, auditable trail of your data transactions. Enhance transparency and build credibility with stakeholders, knowing your information is accurate, secure, and tamper-proof.\n* **AI-Assisted Reporting:** Unlock the power of your data with our AI-assisted reporting tools. Generate comprehensive, auditable reports tailored to your specific needs, or export data in your preferred format for in-depth analysis.\n\n\n\nThe development of our product was largely influenced by the feedback and insights we received from our partners in the traceability sector. Their challenges in ensuring transparent ESG reporting and undeniable proof of product origins drove us to create a solution that addresses these pain points head-on.\n\nWe invite you to delve deeper into Cedalio, explore its features, and contact us if you see any way of collaborating.\n\nWarm regards,\n\nThe Cedalio Team", "url": "https://www.ycombinator.com/launches/JlN-cedalio-where-sustainability-meets-data", "votes": 11, "created_at": "2023-11-06T16:05:26.769Z" }, { "id": 72841, "title": "💥 Cedalio — A blockchain empowered alternative to Firebase", "tagline": "Build apps with data that is auditable and verifiable by default", "body": "[Cedalio](https://www.cedalio.com) is a platform that helps you build apps with information that is auditable by default. Data used in your application can be traced back to its origin for verification. Even more, with us you can give your users real ownership and portability of their data across different applications.\n\n## 📚 **TL;DR**\n\n* Cedalio provides companies with the tools to build trust and accountability by offering transparent, auditable data.\n* With Cedalio, organizations prioritizing user privacy can empower users with true ownership of their data, promoting its portability across various applications.\n* By storing access control information on-chain, Cedalio ensures a censorship-resistant database, safeguarding information integrity.\n\n![uploaded image](/media/?type=post&id=72841&key=user_uploads/1337055/6fdf4c1c-3f4b-474e-89b1-66ff7ef1d6ce)\n\n**_Interested? →_** Get started now at [**www.cedalio.com**](http://www.cedalio.com)\\\n**Do you have a new use case in mind? →** Let us know on our [**Discord**](https://discord.gg/kSdhmb9UUT)\\\n**_Do you want how it works under the hood? →_** Read our [**DocSite**](https://docs.cedalio.com/introduction/about-cedalio)\n\n## 👩‍💻 **How do we do it:**\n\n* **Verifiable data:** field-level certifications offers a means to validate the data's integrity, creating trust and assurance in the accuracy of the information.\n* **On chain access controls**: the access control rules are stored in a smart contract, ensuring a censorship-resistant database.\n* **On chain log:** by recording a detailed log of transactions on the blockchain, we enable auditability and the ability to reconstruct the database if needed.\n\n ![uploaded image](/media/?type=post&id=72841&key=user_uploads/1337055/4b89dc51-7589-4412-9563-628a4e601507)\n\n\n## 🤑 **Backed by the best**\n\nSome of our early investors and believers include:\n\n* Y Combinator\n* Guillermo Rauch, CEO @Vercel\n* Esteban Ordano, CEO @Decentraland\n* Demian Brener, CEO @OpenZepellin\n\nFeel free to reach out to us with any questions or to learn more about Cedalio.\n\n_Join our _[_Discord_](https://discord.gg/kSdhmb9UUT)_ or shoot us an email_", "url": "https://www.ycombinator.com/launches/Iwr-cedalio-a-blockchain-empowered-alternative-to-firebase", "votes": 85, "created_at": "2023-07-07T00:02:03.539Z" } ] }, { "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\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)\\]()\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": 29161, "name": "Goldbridge", "slug": "goldbridge", "former_names": [ "Player One", "Story Quest", "StoryQuest", "Goldbridge", "StoryQuest" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d6bc2a399aaabb43bac34995b9a37125e0e1426.png", "website": "https://www.goldbridgebanking.com/", "all_locations": "", "long_description": "Goldbridge is building the financial operating system for the largest asset class in the world – real estate. More than $1T in rent flows through landlord bank accounts annually, with roughly a quarter locked in idle reserves and security deposits – and billions more leaking from unnecessary property expenses. And with $2.5T in real estate loans about to mature in 2027/28, property owners are desperate to boost their income ASAP. \r\n\r\nGoldbridge solves this problem by creating the first AI-powered banking platform for real estate owners. We are backed by Y Combinator and other world-class investors, and our founding team includes a 2x YC founder, former White House advisor, and 100-unit real estate owner/operator with deep industry expertise. Come help us redefine the future of real estate.", "one_liner": "Ramp for Real Estate", "team_size": 3, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Housing and Real Estate", "launched_at": 1763193418, "tags": [ "Real Estate", "Finance", "Proptech", "Neobank", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Real Estate and Construction", "Housing and Real Estate" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/goldbridge", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/goldbridge.json", "year_founded": 2025, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/goldbridgebanking", "x_url": "https://x.com/trygoldbridge", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d6bc2a399aaabb43bac34995b9a37125e0e1426.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": [ { "user_id": 95578, "full_name": "Alvin Salehi", "title": "Founder/CEO", "founder_bio": "Alvin Salehi is a 2x YC founder and CEO of Goldbridge, the all-in-one financial platform for real estate owners. He's also the co-founder of Shef, a Series B marketplace that enables anyone to cook and sell food from home. Salehi previously served as Senior Technology Advisor at the White House, where he authored the country’s first federal open source software policy and spearheaded its regulatory enforcement. Salehi also co-founded Code.gov and is a Venture Partner at NextGen VP.", "is_active": true, "linkedin_url": "https://linkedin.com/in/alvandsalehi", "x_url": "https://x.com/alvinsalehi_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/88f4952ce02c85916f2d3f52626af96bc7a6209b.jpg" }, { "user_id": 1476984, "full_name": "Greg Rami", "title": "Founder", "founder_bio": "Greg Rami is the Co-Founder of Goldbridge, the all-in-one financial platform built for real estate owners. With a broad engineering background spanning Android and iOS native development, web and backend systems, while leading teams at high-growth companies. He also brings training and practical experience in machine learning and data visualization from work at the NIST and NIH. Greg holds dual master's degrees in Computer Science and Business Management.", "is_active": true, "linkedin_url": "https://linkedin.com/in/gregrami", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/63e203577934eb66e97525d7594dba8380397c26.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95598, "title": "Goldbridge – Ramp for Real Estate 🏠", "tagline": "The all-in-one financial platform for real estate owners. Banking + intelligence + automation, custom-built for property owners & operators.", "body": "**Tl;dr:** We can increase a real estate owner’s property values by 20 percent in less than three months. We already have thousands of units on board and just signed a strategic partnership deal with a company that puts us in front of 8M units in 2026.\n\nWe’re [Alvin](https://www.linkedin.com/in/alvinsalehi/) & [Greg](https://www.linkedin.com/in/gregrami/) and we’re the founders of [Goldbridge](https://www.goldbridgebanking.com/). Alvin’s first YC company, Shef (W19), is a homemade food marketplace that helped change state laws across the country so that people could legally cook and sell food from home. They raised over $100M, scaled Shef nationally, and built it into a Series B company that continues to grow rapidly across the country.\n\nNow we’re building Goldbridge, the financial operating system for real estate – and we built it from the ground up based on our personal experience owning and operating residential properties.\n\n**THE PROBLEM**\n\nOver **$1 trillion** **of rent** flows through landlords’ bank accounts every year, and nearly 25% of it sits idle in reserves and deposits. In other words, **real estate banking is fundamentally broken**:\n\n* Traditional banks don’t understand real estate cashflows\n* Property management systems don’t handle money movement, treasury, or yield\n* Operators juggle multiple bank accounts, spreadsheets, and manual reconciliations\n* Billions are lost every year in missed yield, overpayments, and operational inefficiencies\n\nThis is one of the largest underserved financial categories in the country.\n\n**WHY WE BUILT GOLDBRIDGE**\n\n![uploaded image](/media/?type=post&id=95598&key=user_uploads/95578/286eb9a4-254e-43a5-b09c-1e451fbb85ce)\n\nAs the son of immigrants, Alvin grew up in a motel and helped his parents manage properties growing up. Now he owns 81 units in the Bay Area, and he’s personally experienced how painful it is to manage property finances once you hit mid-market scale (50+ units).\n\nBy modernizing his banking stack, renegotiating contracts, appealing his property tax bills, applying for government rebates, optimizing maintenance spend, and restructuring rent collections, Alvin took his 81-unit portfolio from **–2% burn → +36% cashflow in just a few months.**\n\nWe’ve now replicated this for other property owners, and the patterns are universal.\n\n**OUR SOLUTION**\n\n![uploaded image](/media/?type=post&id=95598&key=user_uploads/95578/de43ac4b-4268-4af9-8522-7410002f340c)\n\n**1. Banking Built for Real Estate**\n\nHigh yield operating accounts, reserve accounts, and automated reconciliations across your entire portfolio of properties -- all under one FDIC-backed infrastructure.\n\n**2. Automated Savings & Earnings Optimization**\n\nGoldbridge automatically surfaces:\n\n* Property-tax reassessment opportunities\n* Vendor contract renegotiation opportunities\n* Government rebate and incentive programs\n* Utility bill errors\n* Idle cash yield optimization\n* Reserve allocation improvements\n\nBecause Goldbridge sits at the **banking + transaction layer**, we have access to data that is cleaner, richer, and more accurate than generic financial platforms. On top of that, we can actually move money for owners intelligently and safely rather than just highlighting the issues that need to be resolved and throwing the manual work back onto their plates.\n\n**WHY NOW**\n\n**1. A $2.5T Refi Wall Is Coming (2027–2028)**\n\nAn estimated $2.5 trillion in real estate loans will mature soon, which is making owners desperate to improve their property finances. They will need pristine financials, liquidity discipline, and real-time visibility into how their money moves.\n\n**2. LLMs Unlock Automation in a Data-Dense Industry**\n\nNeedless to say, real estate produces massive amounts of invoices, leases, utility bills, tax docs, contracts, rent rolls, and loan agreements. What previously took days to review and reconcile can now be done in minutes.\n\n**TRACTION**\n\nWe’re moving extremely fast. We already have **thousands of units** on board and just signed a strategic partnership deal with a company that puts us in front of **8M units** in 2026.\n\n**FOUNDERS**\n\n**Alvin Salehi (Co-Founder/CEO)**\n\n* 2x YC founder\n* Multifamily owner/operator (100+ units)\n* Co-founder of [Shef](https://shef.com/) (Series B)\n* Fmr Senior Tech Advisor @ White House\n\n**Greg Rami (Co-Founder/CTO)**\n\n* 15+ yrs eng experience with Data/ML/SWE; full stack + mobile native\n* Built parallel data processing for physics models @ NIST\n* Led engineering teams at high-growth companies\n\n**GET IN TOUCH**\n\nGoldbridge is building the financial OS for a trillion-dollar vertical. Drop us a line anytime if you’d like to chat – [**founders@goldbridgebanking.com**](mailto:founders@goldbridgebanking.com).", "url": "https://www.ycombinator.com/launches/Oru-goldbridge-ramp-for-real-estate", "votes": 22, "created_at": "2025-11-18T14:39:13.062Z" } ] }, { "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": 29276, "name": "Carousel Technologies", "slug": "carousel-technologies", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/be51ba4d9e1b18ab8424b80f2db46f49c4a22fa9.png", "website": "https://usecarousel.com", "all_locations": "New York City, NY, USA", "long_description": "Carousel is an AI assistant for Excel that builds spreadsheets & models in minutes, not hours.\r\n\r\nCarousel can:\r\n\r\n- Create & edit Excel models of any complexity, including but not limited to: multi-statement financial models with several tabs, FP&A templates based on raw revenue and cost data, scientific data analyses, and more\r\n\r\n- Take in data from PDFs, CSVs, presentations, and images, and build the data into your Excel directly\r\n\r\n- Walk you through complex spreadsheet architecture and each cell's precedents and dependents\r\n\r\n- Format your models tastefully & professionally\r\n\r\n- Build chart dashboards to visualize your data\r\n\r\nIt's more useful than the last intern you hired.", "one_liner": "AI Assistant for Excel", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1707782877, "tags": [ "Finance", "B2B", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/carousel-technologies", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/carousel-technologies.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/carousel-tech/", "x_url": "https://www.x.com/usecarousel", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/be51ba4d9e1b18ab8424b80f2db46f49c4a22fa9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 857855, "full_name": "Daniel Wolf", "title": "Founder", "founder_bio": "Making spreadsheets less painful", "is_active": true, "linkedin_url": "https://linkedin.com/in/daniel-wolf-6242431b1", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e0b96012bc90a1f87b8fe13bbac44dc2fb61fc7b.jpg" }, { "user_id": 1640043, "full_name": "Jude Rizzo", "title": "Founder", "founder_bio": "Founder @ Carousel, former math/physics student", "is_active": true, "linkedin_url": "https://linkedin.com/in/jude-rizzo-aa71aa207", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5fa048f3dea7a5876f83fb4763983b502644221e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90376, "title": "🧮⚡ Carousel: The AI Assistant For Excel", "tagline": "Build Excel models in minutes, not hours.", "body": "Hi YC! We're Jude & Daniel, and we’ve built Carousel - an AI assistant that transforms how people work in Excel.\n\n# **The Problem: Excel is Powerful but Painful**\n\nExcel remains the universal language of business despite being:\n\n* **Time-consuming**: Building models takes hours of manual work\n* **Error-prone**: Manual data entry and complex formulas lead to mistakes\n* **Intimidating**: Mastering Excel formulas takes years\n\nProfessionals spend countless hours battling spreadsheets instead of focusing on decision-making.\n\n# **Our Solution: Your Personal Excel Intern**\n\nCarousel is an AI assistant that builds spreadsheets & models in minutes, not hours. \n\nhttps://www.youtube.com/watch?v=8_MWw1lMrzQ\n\nWe've built four core features:\n\n**🤖 Carousel Chat** - Build complete multi-tab models from scratch with conversational prompts. No Excel expertise required. [Models that took hours to spin up now take minutes.](https://youtu.be/dQJbqbEJIiY)\n\n**⚡ Quick Fix** - Select any range, hit Ctrl+Enter, and describe what you want. [Format tables, add analytics, or restructure data instantly.](https://youtu.be/BeXluYKKArM)\n\n**🔍 Model Walkthrough** - Understand complex formulas in plain English. [Model Walkthrough rewrites formulas by swapping cell references like S&U_Sheet!K7 with Transaction Closing Costs (4%).](https://youtu.be/sG3s4Bz1sM0)\n\n**📄 File Context** - Stop doing manual data entry. [Carousel pulls information from your documents and puts them into your Excel file live, complete with automatic source citations.](https://youtu.be/jDx9lNbgLMk)\n\nUnlike your last intern, Carousel is competent, doesn’t complain when asked to fix spreadsheet formatting, and doesn’t need a return offer.\n\nCarousel is what Microsoft’s Copilot for Excel promised to be.\n\n# **Who's It Made For?**\n\nCarousel is designed for anyone who spends significant time in Excel:\n\n* **Financial analysts** building complex financial models\n* **Marketing managers** analyzing campaign performance data\n* **Operations leaders** creating forecasts and tracking KPIs\n* **Product managers** organizing feature roadmaps\n* **Scientists** analyzing experimental data\n* **Consultants** preparing client deliverables\n\n# **Why We Made Carousel**\n\nExcel hasn't fundamentally changed in decades, yet it remains central to how teams & businesses operate. \n\nWe built Carousel to bridge the gap between Excel's insane professional capabilities and its usability challenges.\n\n# **Try Carousel Today**\n\nOur open beta starts today for both individuals and enterprise teams. We'd love your feedback!\n\nIf you spend more than 10 hours a week in Excel or know someone who does, we'd love to chat: [founders@usecarousel.com](mailto:founders@usecarousel.com)\n\n[**www.usecarousel.com**](http://www.usecarousel.com)\n\n![uploaded image](/media/?type=post&id=90376&key=user_uploads/857855/84e41b9e-92f3-41a5-b916-bf73501e30ba)\n\n", "url": "https://www.ycombinator.com/launches/NVg-carousel-the-ai-assistant-for-excel", "votes": 22, "created_at": "2025-05-14T00:15:47.757Z" }, { "id": 78887, "title": "📊 👀 Carousel: Track changes for PowerPoint & Excel", "tagline": "Making it easier to review deliverables with high-fidelity change tracking", "body": "Hi! We’re [Jude](https://linkedin.com/in/jude-rizzo-aa71aa207) & [Daniel](https://linkedin.com/in/daniel-wolf-6242431b1), and we’re the co-creators of [Carousel](https://www.carouseltech.io/), a change-tracking tool for PowerPoint & Excel.\n\n \n\n**Investment bankers & consultants don’t use PowerPoint like you do:**\n\nFor most investment banking or consulting projects, the final deliverable is a PowerPoint deck.\n\n \n\nTo make sure the final draft of that deck is perfect, it goes through multiple rounds of review, feedback, & edits.\n\n \n\nThis means that many bankers and consultants spend hours squinting at different decks to see if the footnote on pg. 57 was updated correctly or if all the companies in a table on pg. 34 have uniform EBITDA adjustments.\n\n \n\nSmall details matter a lot, so teams often have to check over hundred-page decks from scratch. This review process is tedious & prone to mistakes.\n\n \n\n**Track deck & model changes with one click:**\n\n \n\nCarousel is a PowerPoint & Excel add-in that captures all the changes made to your team’s materials from shell to client PDF.\n\n \n\n**Carousel tells you exactly WHO changed WHAT and WHEN.** With one click, the add-in highlights everything that changed between any two versions of the model or deck (in your current window, without having to open another file).\n\n \n\n# It’s like Word’s track changes on steroids.\n\n \n\n![uploaded image](/media/?type=post&id=78887&key=user_uploads/857855/b80c80b4-4489-4207-be22-dc1681bc6eb6)\n\n \n\nBefore this, Daniel worked at Bank of America & Elliott Management, where he spent many hours pushing the boundaries of what was possible in PowerPoint & Excel.\n\n \n\nJude was pursuing a Master’s Degree in Mathematics from Cornell with a focus on ML.\n\n \n\nWe realized that PowerPoint & Excel could be a much more pleasant experience for power users with the right tools.\n\n \n\n**If you or someone you know spends more than 15 hours per week in PowerPoint or Excel, **[**let’s chat**](https://calendly.com/daniel-carouseltech)**.**\n\n \n\n ", "url": "https://www.ycombinator.com/launches/KWN-carousel-track-changes-for-powerpoint-excel", "votes": 41, "created_at": "2024-02-29T06:51:51.211Z" } ] }, { "id": 29326, "name": "Monumint", "slug": "monumint", "former_names": [ "OmniAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b083afd8b8c08b3bb39c078c8afa1ed5ccfc6f91.png", "website": "https://monumint.com", "all_locations": "San Francisco, CA, USA", "long_description": "Monumint is conversational AI for financial services. We help banks, credit unions, and lenders build lasting customer relationships across the entire customer journey from account opening and loan origination to servicing and collections. Our AI agents are omni-channel, take action inside the systems financial institutions already use, and are built with compliance at their core.", "one_liner": "Conversational AI purpose-built for financial services", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1699651931, "tags": [ "Fintech", "Finance", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "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/monumint", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/monumint.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/monumintcom", "x_url": "https://twitter.com/monumintcom", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/monumint", "github_url": "https://github.com/getomni-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b083afd8b8c08b3bb39c078c8afa1ed5ccfc6f91.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/97fe3490838eda0805bd03961de6ac2d5035cb96.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 457262, "full_name": "Tyler Maran", "title": "Founder/CEO", "founder_bio": "Tyler is the CEO and co-founder of Monumint. Before Monumint, he played a pivotal role in developing AI and ML applications within the healthcare and mental health domains. His experience in establishing ML structures in stringently regulated sectors gives him a unique perspective on the tradeoffs of tech, business, and regulatory considerations.", "is_active": true, "linkedin_url": "https://linkedin.com/in/tyler-maran", "x_url": "https://twitter.com/TylerMaran", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/882991810b4504e1332c51fbf96881b29564ae58.jpg" }, { "user_id": 1628775, "full_name": "Anna Pojawis", "title": "Founder/CTO", "founder_bio": "Anna is the CTO and co-founder of Monumint, a voice AI platform purpose-built for financial services. Prior to Monumint, Anna contributed to growth initiatives at Hightouch, a YC-backed reverse ETL company. She has a background in investment banking and graduated from the University of Connecticut.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/annapoj/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7292d1e102ab7ffd1d17f789d1ddc2a7ca255746.jpg" } ], "jobs": [ { "id": 85187, "title": "Full Stack Engineer", "url": "https://www.ycombinator.com/companies/monumint/jobs/Dr0GIaE-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $200K", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "TypeScript", "Next.js" ] }, { "id": 98599, "title": "Enterprise Account Executive", "url": "https://www.ycombinator.com/companies/monumint/jobs/8bboV1Y-enterprise-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$275K - $325K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98601, "title": "Mid Market Account Executive", "url": "https://www.ycombinator.com/companies/monumint/jobs/TAqtXXR-mid-market-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$225K - $275K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98604, "title": "Head of Sales", "url": "https://www.ycombinator.com/companies/monumint/jobs/Jv3hz2J-head-of-sales", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$275K - $325K", "equity_range": "0.10% - 0.50%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98605, "title": "Content Marketing Lead", "url": "https://www.ycombinator.com/companies/monumint/jobs/LkSS77h-content-marketing-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$125K - $175K", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98610, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/monumint/jobs/et9bI4n-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $200K", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Node.js", "PostgreSQL", "React", "TypeScript", "Next.js" ] }, { "id": 98611, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/monumint/jobs/j63VmUv-senior-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $250K", "equity_range": "0.50% - 1.50%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Node.js", "PostgreSQL", "React", "TypeScript", "Next.js" ] }, { "id": 108354, "title": "Enterprise Sales Development Representative", "url": "https://www.ycombinator.com/companies/monumint/jobs/puWsZLX-enterprise-sales-development-representative", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$75K - $125K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114194, "title": "Strategic Advisor", "url": "https://www.ycombinator.com/companies/monumint/jobs/4ao5iXu-strategic-advisor", "location": "US / Remote (US)", "type": "Contract", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "11+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "OmniAI transforms business data for AI | TechCrunch", "url": "https://techcrunch.com/2024/06/22/omniai-transforms-business-data-for-ai/", "date": "Jun 22, 2024" } ], "launches": [ { "id": 105024, "title": "🏦 Monumint: Voice AI for financial services", "tagline": "AI agents that communicate with customers across the entire financial journey", "body": "## TL;DR\n\nFinancial services has always been a relationship business.\n\n* In the U.S., people spend 10 billion minutes a year on the phone with their bank\n* Only 60% of customer interactions occur during business hours\n* Our customers use Monumint to increase operational capacity by 4x while delivering a 24/7 high-touch customer experience\n\nFrom opening a deposit account to financing a home or growing a business, trust is built through millions of conversations between financial institutions and their customers.\n\nAt Monumint, we're building conversational AI that helps financial institutions communicate with every customer on a more personal level. From account opening and lending to servicing and collections, our AI agents support the entire financial journey.\n\n\n\n## **❌** The problem\n\nFinancial services is one of the largest industries in the world.\n\nEach year in the US there are more than 80 million new consumer and small business loans. There are more than 4,500 banks, 4,500 credit unions, and thousands of mortgage lenders, consumer lenders, and fintechs, all aiming to build lasting relationships with their customers.\n\nDespite this, much of the industry still relies on manual customer operations. Teams spend countless hours following up with customers, chasing documents, answering the same questions, and updating multiple systems.\n\n## **✅** The solution\n\nMonumint is built around three pillars.\n\n**Conversational.** Customers communicate through voice, SMS, email, and built-in web chat.\n\n**Connected.** Our AI agents integrate with existing systems including CRMs, loan origination systems, core banking platforms, and servicing software to retrieve information and take action.\n\n**Compliant.** Every conversation is designed for the regulatory requirements of financial services, including TCPA, fair lending, audit trails, and built-in guardrails.\n\nMonumint makes it possible for financial institutions to build lasting customer relationships at a scale that was never possible before.\n\nToday, we are partnered with some of the largest lenders in the country and have handled more than 5 million customer interactions.\n\n## 🙏 Our ask\n\nWe're looking for intros to banks, credit unions, lenders, and fintechs that want to bring conversational AI into their customer experience.\n\nEmail us at [tyler@monumint.com](mailto:tyler@monumint.com) or [book a demo here](https://calendly.com/meet-tyler/30min).\n\nLet’s build something monumental!", "url": "https://www.ycombinator.com/launches/RJw-monumint-voice-ai-for-financial-services", "votes": 18, "created_at": "2026-07-09T14:41:23.451Z" }, { "id": 78643, "title": "⚡️OmniAI - Structure your unstructured data", "tagline": "Transform unstructured data into beautiful SQL tables.", "body": "Hey everyone 👋 We’re Anna and Tyler from [OmniAI](https://getomni.ai/), and we help clean up data using AI.\n\n### **🪄 Omni in action: Turn YC demo day videos into data**\n\nHere we started with a database of all the public demo day videos and extracted some of the most interesting business metrics — without needing to watch hundreds of videos.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=78643&key=user_uploads/457262/b93d8e72-4fe5-4e43-b2a2-000512664002)\n\n# **Problem**\n\nA company’s most valuable data set is often its least accessible. Only 20% of corporate data lives in SQL, with the remaining 80% locked away in unstructured formats (reviews, chat logs, transcripts, pdfs). It takes some serious engineering work to answer questions like:\n\n* “Graph the most common user complaints over the last 4 years”\n* “What percentage of users complain about pricing on sales calls”\n* “How many users are getting their questions answered by our chatbot”\n\n**And this problem will only get worse as AI interfaces become more ubiquitous and more user data is locked up in chat logs. 🤖**\n\n.\n\n# **How are people solving this today?**\n\nEven YC founders don’t have a unified strategy here. From the hundreds of companies we’ve interviewed, it usually boils down to:\n\n**🌎 Outsourced data entry** - Slow and _surprisingly inaccurate_\n\n🔎 **Spot checking** - Slow and very prone to bias (i.e. _read 10 user reviews and make sweeping business decisions)_\n\n💸 **Hire some ML engineers** - Best results, but it’s going to be slow and expensive\n\n.\n\n# **Solution**\n\nUse OmniAI to turn that unstructured data into tabular data. OmniAI makes it simple to transform and enhance unstructured data, all within your existing data warehouse.\n\n* No engineering time needed\n* No calibrating models\n* And certainly no fighting with AWS SageMaker.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=78643&key=user_uploads/457262/3650ce0e-79d1-4405-9a63-8b0282947c88)\n\n# **How it works**\n\nRun ML models across your data. Categorize, extract, summarize, translate, and more.\n\n* **Connect to a data warehouse -** We support Snowflake, Postgres, MySQL, and MongoDB.\n* **Choose models to run -** Define type safe schemas to run against your unstructured data. Use any of the hosted models, or define your own.\n* **Transform your data -** We’ll run those models against your data, and keep your warehouse in sync as new rows/fields are added/deleted.\n* **Query with SQL -** All the transformed data stays in your warehouse. Surface this data in your product, or analyze with your existing BI tools.\n\n![uploaded image](/media/?type=post&id=78643&key=user_uploads/457262/b2be4691-e98e-44cb-a76e-103b59d51b1e)\n\n# **Meet Tyler & Anna**\n\n[Anna](https://www.linkedin.com/in/annapoj/) comes from building ETLs and data enrichment tools at [**Hightouch**](https://bookface.ycombinator.com/company/12821). While [Tyler](https://linkedin.com/in/tyler-maran) has a background in ML and healthcare applications (most recently at [**Fair Square**](https://bookface.ycombinator.com/company/13215)). We’ve dealt with everything from syncing CRMs to fax machine APIs.\n\nWe’re building Omni because we hate working with messy data, and we can make this problem a little better for everyone.\n\n![uploaded image](/media/?type=post&id=78643&key=user_uploads/457262/25bd169d-bbe0-4c42-ac0b-fbfe55589067)\n\n# **Our ask**\n\n* **Data problems!** We’re constantly adding new tools and would love to hear about the unique data problems you face.\n* **Book a demo** with us at [getomni.ai](https://getomni.ai/)\n* **Tell people about Omni!** Know anyone drowning in a sea of PDFs, or trying to build image classification from scratch? Chances are we can help!\n\nEmail us at [**founders@getomni.ai**](mailto:founders@getomni.ai)", "url": "https://www.ycombinator.com/launches/KSR-omniai-structure-your-unstructured-data", "votes": 184, "created_at": "2024-02-22T16:14:42.416Z" } ] }, { "id": 29395, "name": "Clarum", "slug": "clarum", "former_names": [ "Over1" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f49116b2d71b646eb2e191786e22552e6be264f.png", "website": "https://clarum.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Clarum automates diligence, monitoring, and reporting for private market investors. Our AI agents learn how each firm works and automate their process end to end. Everything is individualized (checklists, templates, scoring models) and adapts as your process changes.\r\n\r\nClarum also acts as a self-updating knowledge base across every document your firm has ever seen, connecting dots no analyst could.", "one_liner": "AI agents for private market diligence, monitoring, and reporting", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1710174596, "tags": [ "Fintech", "SaaS", "Finance", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/clarum", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/clarum.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/clarum-ai", "x_url": "https://twitter.com/clarum_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/clarum", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f49116b2d71b646eb2e191786e22552e6be264f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1524877, "full_name": "Anton Otaner", "title": "Founder/CEO", "founder_bio": "Anton Otaner is the co-founder and CEO of Clarum. Before Clarum, he worked on blockchain infrastructure at Mint and led augmented reality product development at EPHAS, an Ericsson One startup. He also enjoys marathon running.", "is_active": true, "linkedin_url": "https://linkedin.com/in/antonotaner", "x_url": "https://twitter.com/antonotaner", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bc1f50b72e714ff58e401347d7b1acb92bd419dd.jpg" } ], "jobs": [], "news": [ { "title": "Y Combinator Startups That Could Be The Next Tech Unicorns", "url": "https://www.forbes.com/sites/jackkelly/2024/06/04/y-combinator-startups-that-could-be-the-next-tech-unicorns/", "date": "Jun 04, 2024" } ], "launches": [ { "id": 89583, "title": "Clarum - Your AI Associate for Private Equity Due Diligence", "tagline": "Investment due diligence and research that works with Excel, Word, and PowerPoint.", "body": "Hi everyone,\n\nWe’re [Anton](https://www.linkedin.com/in/antonotaner/) and [Tommy](https://www.linkedin.com/in/tommyhe6/), co-founders of **Clarum**.\n\nHere’s a short demo video showing how it works:\n\n📽 \n\n### **TL;DR**\n\n**Clarum is the AI associate for private equity due diligence and research.**\n\nClarum works directly with _Excel, Word, and PowerPoint_ to structure financials, extract deal terms, and analyze data—without requiring teams to change tools or workflows. Firms use Clarum to speed up deal evaluation, reduce errors, and improve risk visibility across their pipeline.\n\n### ❌ **The Problem**\n\nPrivate equity diligence is still manual—making it hard to assess risk quickly across large data rooms and short timelines.\n\nDespite growing deal volume and increasing data complexity, teams still rely on fragmented workflows across _Excel, Word, and PowerPoint_. It’s slow, repetitive, and difficult to scale—especially when consistency, speed, and accuracy are critical.\n\n### 🛠️ **Our Solution**\n\nClarum connects to your data and analyzes deal materials with _Excel, Word, and PowerPoint_, using AI to automate key parts of the diligence workflow. We tailor Clarum to your specific processes, so results appear in your familiar environment and formats — _no new tool to learn_.\n\nFirms use Clarum to:\n\n* 📄 **Generate screening memos**\n* 📊 **Build returns analyses and models**\n* 📈 **Create deep-dive slide decks**\n* 📉 **Reconcile income statements and chart financials**\n* 📚 **Summarize CIMs and legal documents**\n* 🚨 **Flag inconsistencies across files**\n* 📎 **Compare and benchmark deals**\n* 🗂️ **Categorize and summarize data room contents**\n\n_The result: faster deal cycles, cleaner outputs, and stronger confidence heading into IC—without changing how teams work today._\n\n---\n\n### **The Ask**\n\nIf you are or know:\n\n1. **Managing Partner / Head of Family Office** who believes AI and automation are critical for building long-term operational leverage.\n2. **Principal / Investment Director at a LMM PE firm or Family Office** looking to scale analytical output and automate diligence—without changing the tools the team already uses.\n3. **CIO / Head of Investments** exploring how AI can enhance risk assessment and portfolio insights without adding technical overhead.\n4. **VP / Senior Associate** aiming to reduce manual data work and focus more time on high-impact analysis.\n\nWe’d love to help.\n\n👉 [**Book a demo at clarum.ai**](https://clarum.ai/contact?utm_source=yc&utm_medium=launch&utm_campaign=launch-2)\n\n📬 You can also reach us directly at [contact@clarum.ai](mailto:contact@clarum.ai).\n\n![uploaded image](/media/?type=post&id=89583&key=user_uploads/1524877/8eb3444c-3a7b-4ef8-ac0d-421df1bb95d5)\n\nThanks for reading. Looking forward to connecting.", "url": "https://www.ycombinator.com/launches/NIt-clarum-your-ai-associate-for-private-equity-due-diligence", "votes": 14, "created_at": "2025-04-22T13:36:47.110Z" }, { "id": 79333, "title": "Clarum: AI-powered due diligence", "tagline": "Clarum helps private equity firms close more deals by conducting accelerated and reliable due diligence.", "body": "Hey everyone! We’re [Anton](https://www.linkedin.com/in/antonotaner/) and [Tommy](https://www.linkedin.com/in/tommyhe6/) and we’re building [Clarum](https://clarum.ai/?utm_source=yc&utm_campaign=launch).\n\n**tldr;** Clarum helps private equity firms close more deals by conducting quicker due diligence with AI. For example, firms can import files from their data room to get answers to hundreds of questions in minutes. [Book a demo](https://clarum.ai/demo?utm_source=yc&utm_campaign=launch) with us!\n\n### **Problem**\n\nDuring deal flow, due diligence is a significant challenge for investors due to the need to **quickly process large volumes of disorganized data within tight deadlines**. The mental and emotional toll is significant, especially when dealing with high-stakes transactions worth millions, where mistakes can cost jobs. Private equity firms risk losing deals or being outbid if they don't conduct due diligence efficiently enough. Finding information and answering questions should be quick, easy, and reliable.\n\n### **Clarum is here**\n\nClarum provides AI-powered due diligence solutions that enable fast, transparent, and reliable insights from your entire data repository, for more data-driven processes.\n\nUsing Clarum takes minutes to set up.\n\n1. Import your data from your VDR, shared drive, or local computer.\n2. Upload an existing due diligence questionnaire.\n3. Watch Clarum answer 100s of questions with full transparency in minutes.\n\nHere’s what Clarum can do:\n\n**Reliable and traceable answers -** Answer questions using your entire knowledge base, where every number or sentence is linked back to its source document for full traceability.\n\n![uploaded image](/media/?type=post&id=79333&key=user_uploads/1524877/df101c73-a679-4a78-8f56-395da9a45d46)\n\n**All your data in one place -** Quickly import data from various sources, including VDRs, shared drives, and local files.\n\n![uploaded image](/media/?type=post&id=79333&key=user_uploads/1524877/24f66946-a567-4d48-ad4f-d53235527346)\n\n**Quantifiable insights from qualitative data -** Answer hundreds of questions from due diligence questionnaires in minutes instead of weeks. Generate follow-up questions and RFIs from the missing information.\n\n![uploaded image](/media/?type=post&id=79333&key=user_uploads/1524877/e29484d8-8561-4f85-b647-0ad0d51796bb)\n\n**Find critical data -** Intelligently search for information from all your sources. Find a chart from a PDF, a table from a spreadsheet, or a critical number from a presentation.\n\n![uploaded image](/media/?type=post&id=79333&key=user_uploads/1524877/75217982-44fa-4faf-938c-627d903b594b)\n\nAll of this leads to a quicker time-to-insight, giving PE firms using Clarum a competitive advantage.\n\n### **Team**\n\n![uploaded image](/media/?type=post&id=79333&key=user_uploads/1524877/9d56a75e-8694-4e63-8cca-0a3168762c63)\n\nAnton Otaner and Tommy He met via a mutual friend at McGill University. They knew that they would be a great team after they won first place in their university’s hackathon and after many late nights working together.\n\nBefore Clarum, Anton was a blockchain engineer at Mint where he worked on scalable blockchain solutions to secure gated content. He enjoys tackling challenging situations; for instance, he ran 84 km in a snowstorm with a broken arm. Tommy worked on low-latency market connections and trade execution at Tower Research Capital. Before that, he worked on the private intersection of knowledge graphs at Optable, an ad-tech startup.\n\nTheir background is rooted in a tech-first approach, tightly coupled with finance. By constantly keeping up to date and working with the latest technologies, they are convinced that due diligence could be accelerated with AI.\n\n### **Our ask**\n\nWe are confident that we can accelerate your due diligence reliably using AI. If you know anyone working in private equity or wealth management who could benefit from Clarum, please [send them our way](https://mailto:anton@clarum.ai/).\n\nIf you are working in that industry, reach out to us at [contact@clarum.ai](mailto:contact@clarum.ai) or [book a call](https://clarum.ai/demo?utm_source=yc&utm_campaign=launch)!", "url": "https://www.ycombinator.com/launches/KdZ-clarum-ai-powered-due-diligence", "votes": 79, "created_at": "2024-03-13T19:04:27.975Z" } ] }, { "id": 29410, "name": "Model ML", "slug": "model-ml", "former_names": [ "Model AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9534078fe1346cc9c5c1cef87076db8b67768589.png", "website": "https://www.modelml.com/", "all_locations": "London, England, United Kingdom", "long_description": "Team:\r\nChaz: Founder of Fat Llama YC S17 - Acquired by Hygglo. Responsible for Business and Sales \r\nArns: Founder of Fancy S20 - Acquired by Gopuff, Responsible for tech and product. ", "one_liner": "The AI for Financial Services.", "team_size": 180, "industry": "B2B", "subindustry": "B2B", "launched_at": 1700480676, "tags": [ "SaaS", "Finance", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/model-ml", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/model-ml.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/model-ml/posts/?feedView=all", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9534078fe1346cc9c5c1cef87076db8b67768589.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 489419, "full_name": "Arnie Englander", "title": "Founder", "founder_bio": "2x YC founder. \nFancy (S20) - Acquired by Gopuff.\nModelML (W24).\nLove building cool stuff.", "is_active": true, "linkedin_url": "https://linkedin.com/in/arnie-englander", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0ffc63e1fea691a195b10f3aa56c974b9aee8656.jpg" }, { "user_id": 186992, "full_name": "Chaz Englander", "title": "Founder", "founder_bio": "2x YC Founder. \nFat Llama (S17) - acquired by Hygglo \nModeML (W24)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chazenglander", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/068f0c90cf2d4ea0e0d42b7a0aa64ac684078ba3.jpg" } ], "jobs": [ { "id": 66740, "title": "Product Growth", "url": "https://www.ycombinator.com/companies/model-ml/jobs/lrPAkoP-product-growth", "location": "New York, NY, US / Remote (London, England, GB)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$70K - $130K", "equity_range": "", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 67842, "title": "Growth", "url": "https://www.ycombinator.com/companies/model-ml/jobs/NgPldYS-growth", "location": "SG / HK / IN / US / Remote (SG; HK; IN; US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K - $200K", "equity_range": "", "experience": "6+ years", "visa": "Will sponsor", "skills": [] }, { "id": 68048, "title": "Operations", "url": "https://www.ycombinator.com/companies/model-ml/jobs/LcaMAjR-operations", "location": "London, England, GB", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$35K - $50K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 77750, "title": "Marketing Lead", "url": "https://www.ycombinator.com/companies/model-ml/jobs/XPntJpF-marketing-lead", "location": "London, England, GB", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$80K - $130K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 78535, "title": "Design Lead", "url": "https://www.ycombinator.com/companies/model-ml/jobs/ytdt6bA-design-lead", "location": "London, England, GB", "type": "Full-time", "role": "Design", "role_type": "UI / UX", "salary_range": "$80K - $140K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 80697, "title": "Brand Designer", "url": "https://www.ycombinator.com/companies/model-ml/jobs/eUv5TT2-brand-designer", "location": "London, England, GB", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$80K - $120K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 80698, "title": "Content Strategist", "url": "https://www.ycombinator.com/companies/model-ml/jobs/UuAVi50-content-strategist", "location": "London, England, GB", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$80K - $120K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 85540, "title": "Full-Stack Engineer", "url": "https://www.ycombinator.com/companies/model-ml/jobs/vRcObwO-full-stack-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$80K - $140K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 85541, "title": "Applied AI Engineer", "url": "https://www.ycombinator.com/companies/model-ml/jobs/XKYq3QI-applied-ai-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 85542, "title": "Infrastructure/ Security/ DevOps", "url": "https://www.ycombinator.com/companies/model-ml/jobs/04AOws0-infrastructure-security-devops", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "$80K - $140K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 85543, "title": "Senior Backend Engineer", "url": "https://www.ycombinator.com/companies/model-ml/jobs/XvpJIP5-senior-backend-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$120K - $180K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 87370, "title": "Full Stack Data Scientist", "url": "https://www.ycombinator.com/companies/model-ml/jobs/oX7ZeFH-full-stack-data-scientist", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "$100K - $160K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 91482, "title": "GTM Lead", "url": "https://www.ycombinator.com/companies/model-ml/jobs/HcBixzE-gtm-lead", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$200K - $400K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 95186, "title": "Data, Strategy, & Ops", "url": "https://www.ycombinator.com/companies/model-ml/jobs/5gDkqo8-data-strategy-ops", "location": "London, England, GB", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "£90K - £130K GBP", "equity_range": "", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 102974, "title": "Head of IT & Compliance", "url": "https://www.ycombinator.com/companies/model-ml/jobs/sis79NH-head-of-it-compliance", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $250K", "equity_range": "", "experience": "6+ years", "visa": "Will sponsor", "skills": [] } ], "news": [ { "title": "AI Startup Model ML Raises $75 Million to Take Junior Bankers’ Grunt Work - Bloomberg", "url": "https://www.bloomberg.com/news/articles/2025-11-24/ai-startup-raises-75-million-to-take-junior-bankers-grunt-work", "date": "Nov 24, 2025" }, { "title": "Y-Combinator-backed Model ML emerges from stealth with $12M funding - Tech.eu", "url": "https://tech.eu/2025/02/07/model-ml-emerges-from-stealth-with-12m-funding/", "date": "Feb 07, 2025" }, { "title": "Exclusive: Model ML, a financial research startup automating Wall Street’s grunt work, emerges from stealth  | Fortune", "url": "https://fortune.com/2025/02/06/model-ml-funding-research-due-dilligence/", "date": "Feb 06, 2025" } ], "launches": [] }, { "id": 29636, "name": "Bayesline", "slug": "bayesline", "former_names": [ "Bayesline, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a34bad8ff76fdef00535145a04bd76a11f215b1.png", "website": "https://bayesline.com", "all_locations": "New York City, NY, USA", "long_description": "Bayesline is building a GPU-powered financial analytics suite for institutional investors, like hedge funds. \r\n\r\nClients use our cloud deployed solution to build custom analytics in seconds, having previously been frustrated with off the shelf solutions that don't generate any alpha. What used to take weeks or months now happens near instantly. \r\n\r\nSebastian, CFA (ex Bloomberg Quant & AI Research) and Misha, PhD (ex BlackRock Managing Director) met while working at BlackRock in 2016. With a combined 20 years of experience in the space they set out to change the way the industry uses analytics - from one size doesn't fit all to truly tailored to clients' needs.", "one_liner": "Highly customizable and blazingly fast analytics for asset managers.", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1722543223, "tags": [ "Fintech", "Finance", "B2B", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 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": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "We met in 2016 at BlackRock, and lived together during Covid. We both have a very strong mission to revolutionize financial analytics. We thought that the world’s most renowned institutions would be the best place to do that. But it turns out that they move too slowly and are not ready to truly innovate, especially in the age of AI. Leaving our lucrative careers was the only way to pursue our dreams." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "All of financial analytics was built in the 90s on fundamentally an outdated tech stack (C++ on CPUs). The AI community has developed a new stack (Python ML packages on GPUs) that is orders of magnitude faster, both in time-to-market and run-time. Our aim is to rebuild all of financial analytics on this stack; from economic scenario simulation engines for banks and insurers to portfolio risk models for hedge funds. In the future, Bayesline will be integrated in all financial institutions, eliminating the days of waiting for calculation that tens of thousands of industry professionals have to deal with." } ], "url": "https://www.ycombinator.com/companies/bayesline", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/bayesline.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bayesline", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/orgs/Bayesline", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a34bad8ff76fdef00535145a04bd76a11f215b1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/fb4bb1de304150c80cad018f66d4e49d856ffc45.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/de0255323712d3a1cfcefc60b875e20c328eebb5.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1931855, "full_name": "Sebastian Janisch", "title": "Founder/CEO", "founder_bio": "Building blazingly fast financial analytics at Bayesline. \nPreviously quant at Bloomberg and BlackRock building investment models running 4T in assets.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sebastianjanisch/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/62590dcf51a88cd05066829bd47c6e47f5da853f.jpg" }, { "user_id": 1954098, "full_name": "Misha van Beek", "title": "Founder", "founder_bio": "Misha van Beek is a co-founder at Bayesline. Before Bayesline, Misha was a Managing Director at BlackRock where he led innovation on Aladdin’s portfolio risk models spanning tens of trillions in assets. He also led the research on Aladdin’s economic scenario engine, as well as investment models that run roughly $400 billion in strategic asset allocations across all major asset classes. He holds a PhD in Financial Mathematics from the University of Amsterdam.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mishavanbeek/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/692f665d32c8556cf1dffe3fb2bc340742a392bf.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 82831, "title": "Bayesline - Blazingly fast analytics for Investment Managers", "tagline": "We help hedge funds create more alpha.", "body": "**TL:DR;** We figured out how to fit custom equity factor risk models in seconds instead of weeks. And we can do this across the entire financial analytics landscape. Ad hoc thematic factor construction (think COVID), risk decomposition through time, optimized factor selection, all on the fly and in seconds.\n\nTry out our demo [here](https://app.bayesline.com/signup).\n\n# Why does it matter?\n\nWe each spent nearly a decade at BlackRock and Bloomberg, building products, leading research teams, and empathizing with frustrated clients. They sit at the cutting edge of investment research, coming up with market-beating strategies. **Yet they have to make do with a 20-year-old analytics toolkit** that current vendors offer. \n\nWe are changing that. If the AI community can fit a 300 billion parameter model, there’s no reason why a factor risk model should take a week to compute. In fact, it doesn’t. **We figured out how to do it live and in seconds, and we can do it across the entire analytics landscape**. \n\n# Who is behind this?\n\n![uploaded image](/media/?type=post&id=82831&key=user_uploads/1931855/9d15dc8d-f99b-481f-b378-4f1f9c630691)\n\nHi, we’re Sebastian and Misha.\n\n[**Sebastian**](https://www.linkedin.com/in/sebastianjanisch/)**, CFA** built his expertise in quant research during his time as a Director in BlackRock’s Financial Modeling Group where he implemented and researched equity risk models that analyze trillions in assets.\n\nPrior to Bayesline, he was at Bloomberg, where he incubated the next generation of customizable and actionable quant products as part of the Quant & AI Research group.\n\nA computer scientist by training with M.Sc. in Finance and a passion for quant research, Sebastian spent the last 10 years leveraging the power of machine learning to challenge, innovate, and reshape how institutions think about financial modeling.\n\n[**Misha**](https://www.linkedin.com/in/mishavanbeek/)**, PhD** was among the youngest Managing Directors at BlackRock. He headed the portfolio risk research team that evolved Aladdin’s portfolio risk models across all asset classes.\n\nHe also headed the team that developed Aladdin’s economic scenario engine and investment models that manage roughly $400 billion in strategic asset allocations.\n\nMisha has spent the past 10 years coupling his professional quant training with his personal interest in all things AI and hands-on engineering.\n\n# Our Ask\n\n* **Try our our demo** [here](https://app.bayesline.com/signup). \\\n (only email and name required)\n* **Share this post!** Please help spread the word, as you never know who it may help\n* **Connect us** with quants, portfolio, and risk managers.\\\n \\* blurb to copy & paste:\\\n _The guys at Bayesline are ex-MD level BlackRock and Bloomberg. They are building a new class of analytics for asset managers, starting with equity factor risk and thematic factor construction. They can build fully customized and properly aligned models (custom universe, factors, exposure overrides, etc.) in seconds, far superior to what’s currently available. They deploy on the client cloud, ingest existing vendor data, and provide their engine to compute fully-fledged new risk models and analytics – all on the fly._", "url": "https://www.ycombinator.com/launches/LXz-bayesline-blazingly-fast-analytics-for-investment-managers", "votes": 120, "created_at": "2024-08-07T21:17:52.305Z" } ] }, { "id": 29676, "name": "Elevate", "slug": "elevate-2", "former_names": [ "Elev4te" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/de959e87a5bda5b32dabf7dc904953d947ff5842.png", "website": "https://www.useelevate.dev/", "all_locations": "New York City, NY, USA", "long_description": "Elevate is bringing AI to private equity-backed roll-ups. \r\n\r\nFor example, one of our customers is Guardian Restoration Partners, which is backed by Alpine Investors, the leading roll-up focused private equity firm. In three months, we integrated 10 acquisitions and enabled them to pilot AI agents built on top of our data warehouse. \r\n\r\nWe know this problem personally. Before Elevate, Scott was a Vice President at a $15B private equity firm where he was leading a roll-up. Steve and Jeff are both software engineers with backgrounds across finance, big tech, and start-ups. The founding team has been friends for over a decade from their Duke undergraduate days. ", "one_liner": "Automated AI data integrations for roll-ups", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1718146562, "tags": [ "AIOps", "Finance", "B2B", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/elevate-2", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/elevate-2.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/elev4te-ai", "x_url": "https://x.com/useElevateAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Elev4te-AI", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/de959e87a5bda5b32dabf7dc904953d947ff5842.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1977390, "full_name": "Scott Cara", "title": "Founder/CEO", "founder_bio": "Scott is the co-founder and CEO of Elevate AI. \n\nScott was previously a private equity investor at Sycamore Partners where he partnered with \nc-suite executives at leading companies to drive growth. Prior to Sycamore, Scott was a management consultant at Bain & Co. \n\nScott studied Computer Science and Mathematics at Duke University and holds an MBA from Harvard Business School. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/scott-cara-31829041", "x_url": "https://twitter.com/scara29", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e4dea25fd46cb2e2d9d206eb935a3ab620819877.jpg" } ], "jobs": [ { "id": 93042, "title": "Forward Deployed Engineer (FDE)", "url": "https://www.ycombinator.com/companies/elevate-2/jobs/FFGZvQq-forward-deployed-engineer-fde", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "$130K - $170K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "SQL", "Data Warehousing", "ETL", "Data Modeling", "Data Analytics" ] }, { "id": 93166, "title": "AI Deployment Lead", "url": "https://www.ycombinator.com/companies/elevate-2/jobs/KyJ5rH5-ai-deployment-lead", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "$110K - $150K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "SQL", "Data Warehousing", "Data Modeling", "Data Analytics" ] } ], "news": [], "launches": [ { "id": 93226, "title": "Elevate - AI-powered data management for roll-ups", "tagline": "Providing private equity-backed companies with better data and access to AI tools", "body": "[Scott](https://www.linkedin.com/in/scott-cara-31829041/) here from [Elevate](https://www.useelevate.dev/), showcasing our AI-powered data management for roll-ups.\n\n# **⚠️ Problem: Private equity-backed businesses struggle to use AI because of data challenges.**\n\n📉 75% of M&A deals underperform due to **integration** challenges \n\n🔥 #1 cause of M&A integration problems is **data** fragmentation \n\n🤖 #1 hurdle blocking companies from using AI is **data** quality – #2 is **data** privacy & protection\n\n# 🚀 **Solution:** **Elevate’s AI-powered data management platform acts as a translator enabling PE-owned businesses to use AI in their daily operations.**\n\nOur platform helps PE-backed acquisitive companies (aka roll-ups) reach for data nirvana through:\n\n1. **Migrations:** Transitioning data from legacy systems to the core tech stack,\n2. **Warehousing:** Consolidating, cleaning, and enriching data across acquisitions and systems, providing a single source of truth, and\n3. **AI Services:** Unlocking agentic AI automations built on top of clean warehouse data.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdhAUwhGszwvyPlBFEYAfccNMFkNhz9tFht9DK0R7Mn8efaeTgqsJiQHHFbvf8pZM5f2k76wHg75gJpT49XnlnomjZo6kfiN74m4yTCrGcUYzi-tncfAfe-DlchOMmNSR_HHxeo8w?key=d4EvylbdqETj4Y-psv5-Bw)\n\nBut don’t trust us, ask our customers. \n\nhttps://youtu.be/H1sDiTtCV44\n\n# 🧑‍💻 **Team: Expertise at the intersection of finance x tech.**\n\n[Scott](https://www.linkedin.com/in/scott-cara-31829041/) (CEO) was most recently a Vice President at Sycamore Partners, a $10B+ AUM private equity firm. Scott is also a Harvard Business School grad where he hob-knobbed with too many finance bros + gals. \n\n[Steve](https://www.linkedin.com/in/steve-mazzari-38b470b1/) (CTO) was a software engineer at Meta, the ~~social media giant,~~ ~~metaverse pioneer,~~ AI talent acquisition firm. He has also seen this movie before as a founding engineer at multiple start-ups. \n\n[Jeff](https://www.linkedin.com/in/jeffrday/) (CPO) was a software engineer at a $17B+ hedge fund, before giving into the crypto-craze. His Circle stock sustains us. \n\nThe three founders have known each other for over a decade since their CS undergrad majors together at Duke in the not-so-dirty-anymore Durham, NC. \n\n# **🎺 Asks:**\n\n**PE / roll-up connections:** Find your friends in private equity and tell them about this cool new AI solution that will make their portfolio companies better, them richer, and their lives less miserable.  \n\n**AI solutions:** If you are building an AI tool that could be useful for PE-backed companies (👋 that’s \\~all of you!), reach out + let’s chat to see if there could be a use case for our customers. \n\nContact us: [hello@useelevate.dev](mailto:hello@useelevate.dev) \n\n**Elevate**dly Yours, \n\n[Scott](https://www.linkedin.com/in/scott-cara-31829041/), [Jeff](https://www.linkedin.com/in/jeffrday/), and [Steve](https://www.linkedin.com/in/steve-mazzari-38b470b1/)\n\n![uploaded image](/media/?type=post&id=93226&key=user_uploads/1977390/a54f9874-662a-4886-80d7-fb0bf1954f08)\n\n", "url": "https://www.ycombinator.com/launches/OFe-elevate-ai-powered-data-management-for-roll-ups", "votes": 32, "created_at": "2025-08-21T01:30:29.370Z" } ] }, { "id": 29690, "name": "Kenley", "slug": "kenley", "former_names": [ "contextBase", "AnswerGrid" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/370ceddd78b7595f7c6ce9ee17f1e804ef0ad8d2.png", "website": "https://kenley.ai/", "all_locations": "London, England, United Kingdom", "long_description": "", "one_liner": "AI Agents for Advisory & Financial Services.", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1716911130, "tags": [ "Generative AI", "Finance", "Productivity", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kenley", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/kenley.json", "year_founded": 2024, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/kenley/", "x_url": "https://x.com/KenleyAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/370ceddd78b7595f7c6ce9ee17f1e804ef0ad8d2.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": [ { "user_id": 306562, "full_name": "Bolu Ben-Adeola", "title": "Founder/CEO", "founder_bio": "Bolu is the Co-Founder and CEO of Kenley. Before Kenley, he built ML infrastructure for the fixed-income markets at Bloomberg and led teams at Palantir, South Korea, tackling problems in heavy industry manufacturing.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ben-adeola", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b3ad5e705eb81af646b2658ed1ef732cacde756.jpg" }, { "user_id": 1959842, "full_name": "Noah Öhrner", "title": "Founder", "founder_bio": "Noah is the Co-Founder and CTO of Kenley. Before Kenley, he was a Tech lead on the Security & Governance team at Palantir. He got his BA in Computer Science from the University of Cambridge.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/noah-ohrner", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fa9ec71ccd885fc5cbc9859150a8cdf3b83e9641.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90290, "title": "Kenley – AI for Consulting Excellence", "tagline": "Enterprise AI for Consulting Firms", "body": "### **TL;DR**\n\nKenley is the AI platform built for consulting firms. We help firms power critical workflows—from drafting proposal decks to scaling due diligence research—so consultants can focus on excellence.\n\n[Demo Here](https://youtu.be/cCi7Uqu5WjU?feature=shared)\n\n### **Problem**\n\nConsulting firms sit on a wealth of insight, but it’s buried in decks, transcripts, and distributed tools. Most AI platforms ignore the unique workflows of services firms. The result? Hours wasted searching for precedent, rewriting the same slides, and missing what your firm already knows.\n\n### **Solution**\n\nKenley WorkStreams connects your firm’s expertise directly to the work your teams deliver.\n\n**Leverage your firm’s expertise**\n\nKenley connects siloed information across decks, meeting notes, and other operational systems into one unified search experience. Consultants can instantly surface precedent from past work, find relevant subject-matter experts, or reference similar deliverables. No more hunting through SharePoint or pinging colleagues for context. It’s the fastest way to apply what your firm already knows to the work in front of you.\n\n![uploaded image](/media/?type=post&id=90290&key=user_uploads/306562/7c6e4045-3142-4467-bd0a-afab99425e7b)\n\n**Uncover conversational insights**\n\nEvery consulting project generates valuable insight through expert interviews, internal meetings, and client working sessions, but most of it goes unstructured and unused. Kenley captures and synthesizes these conversations to surface themes, recommendations, and supporting evidence. Results are traceable to source, so nothing is lost in translation. Teams can move from raw transcripts to cited insight in minutes, not hours.\n\n![uploaded image](/media/?type=post&id=90290&key=user_uploads/306562/d24e4fc6-ad08-48de-a731-4433ad8c8a1c)\n\n**Generate high-quality decks**\n\nKenley helps consultants draft slides, summaries, and deliverables that reflect the firm’s voice and standards. Whether building a market landscape, summarizing client input, or structuring a SoW, WorkStreams saves time without sacrificing quality. It works with your templates and draws on your internal precedent to produce outputs that are 80% ready out of the box. Consultants spend less time formatting and more time thinking.\n\n![uploaded image](/media/?type=post&id=90290&key=user_uploads/306562/03d82e32-5c38-4301-8336-c82411ded7fa)\n\n**Enterprise-Grade Data Security and Access Controls**\n\nThe Kenley platform is built with enterprise-grade data security at its foundation; robust access controls, role-based permissions, and strict data isolation. Kenley never uses your data for external training or 3rd-party storage. You stay in control of your information, with the assurance that every output respects firm policies and client confidentiality.\n\n![uploaded image](/media/?type=post&id=90290&key=user_uploads/306562/f5683d3c-fe5d-4ebb-af91-01e298b36bb4)\n\n---\n\n---\n\n**Request a Demo**\\\n[Request a demo](https://kenley.ai) to learn how leading firms are using Kenley to drive consulting excellence with AI.", "url": "https://www.ycombinator.com/launches/NUI-kenley-ai-for-consulting-excellence", "votes": 11, "created_at": "2025-05-12T14:44:01.830Z" } ] }, { "id": 29702, "name": "LedgerUp", "slug": "ledgerup", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7300af84eef84e88a5fc2a972bbf576cb517a4cb.png", "website": "https://ledgerup.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "LedgerUp is your AI billing teammate for B2B SaaS, transforming contract-based billing from a chore into a frictionless, revenue-accelerating process. We parse contracts, issue invoices, and collect payments in real-time, all while surfacing actionable analytics, allowing your finance team to escape spreadsheet chaos and focus on strategic growth. Just close deals and let us handle your billing for you.", "one_liner": "AI agents that handles complex billing and revenue", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1722618064, "tags": [ "Finance", "Billing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "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": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "We started with a bootstrapped bookkeeping company, but quickly realized all our customers were struggling with the same thing: AR and revenue tracking problems. They were drowning in manual invoice chasing, payment reconciliation, and complex revenue recognition.\r\n\r\nThe opportunity was way bigger than bookkeeping. B2B companies needed their entire quote-to-cash process automated - usage-based billing, collections, ARR calculations, all of it. So we refocused to build LedgerUp as an AI agent that handles the full AR workflow. " } ], "url": "https://www.ycombinator.com/companies/ledgerup", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/ledgerup.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ledgerup-ai", "x_url": "https://x.com/tryLedgerUp", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/ledgerup", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7300af84eef84e88a5fc2a972bbf576cb517a4cb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/980b63c460402a032998d23781a562dcd40da75f.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 703605, "full_name": "Bailey Spell", "title": "Founder/CEO", "founder_bio": "Previously, I worked at Microsoft, where I was one of two selected by the Office CTO to integrate agents into Office while then becoming the first engineering hire at a seed-stage workflow automation startup. There, I helped the company grow from $0 to $120k in ARR. Now, I am helping lead a new era of finance and accounting for businesses starting with bookkeeping.", "is_active": true, "linkedin_url": "https://linkedin.com/in/bailey-spell-b487ab149", "x_url": "https://twitter.com/baileygspell", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1cc59b0948053feb3bca4927503b3df1588416f3.jpg" } ], "jobs": [], "news": [ { "title": "13 companies from YC Demo Day 1 that are worth paying attention to | TechCrunch", "url": "https://techcrunch.com/2024/09/25/13-companies-from-yc-demo-day-1-that-are-worth-paying-attention-to/", "date": "Sep 25, 2024" } ], "launches": [ { "id": 86964, "title": "LedgerUp: Handle all Billing from Slack", "tagline": "Meet Ari, your AI teammate that handles all billing and revenue from Slack", "body": "### **TLDR;**\n\nLedgerUp built an AI revenue teammate—[Ari](https://ledgerup.ai/)—to eliminate the multiple tools to juggle to get from “contract signed” to “cash in the bank.” [Ari](https://ledgerup.ai/) integrates with your CRM, automates invoicing, chases payments, and lives in Slack with real-time revenue data. The result? No more manual data entry, overdue payments, scattered data, and hiring FTEs to spend countless hours wasted in back-and-forth amongst different departments.\n\n_Below is an example of CRM → invoice process:_\n\n![uploaded image](/media/?type=post&id=86964&key=user_uploads/671520/29023983-80d3-4031-9e09-86f2d56ff162)\n\n### **Why does this matter?**\n\n3 out of 4 businesses face payment delays, with the root cause beginning at the invoice creation stage.\n\n**The Pain**: Most companies juggle contract softwares (ex: DocuSign/PDFs), spreadsheets, and a manual billing process riddled with errors, overdue payments, and hours spent data-entering.\n\n**Why It Matters**: These inefficiencies lead to missed revenue, cash flow constraints, and wasted staff time. Founders often feel they need extra full-time staff just to manage invoicing.\n\n### **How does Ari solve this?**\n\nSignature to Revenue, _Automatically_\n\nAri takes over the moment a contract is signed:\n\n1. Zero-Touch Contract Import: Signature lands → Contract processes → Revenue flows. All automatic, all instant. \n2. Intelligent Revenue Automation: Every signed agreement is automatically billed to its unique billing requirements\n3. Real-Time Slack Updates: Approve the final output in Slack and ask questions as needed\n\nWhile others offer yet another tool to learn, **your AI teammate takes over the moment a contract is signed.**\n\n### **Our ask**\n\nFrom startups to enterprises, every business faces contract-to-cash challenges. If you know revenue leaders who'd benefit from an AI billing teammate, we'd be grateful for an introduction!\n\nWho we serve well:\n\n* **Finance & Ops Teams:** automating billing operations while maintaining GAAP compliance\n* **Founders & Revenue Leaders:** who need clear revenue visibility without the operational overhead\n* **CFOs & Controllers:** seeking accurate, real-time revenue data and forecasting 💰\n* **Sales & Customer Success:** teams who want to focus on relationships, not invoice follow-ups\n* Email us at [founders@ledgerup.ai](mailto:founders@ledgerup.ai)\n\nBetter yet if you have a business that has contracts, **try Ari**: [Sign Up Here](https://www.ledgerup.ai/demo) or **Schedule a Call** with us: [Book a Short Call](https://cal.com/joe-ledgerup/15min).\n\n### **Team/Origin Story**\n\nDuring his years as a finance director for startups, [Joseph](https://www.linkedin.com/in/joseph-johnson-/) lived the revenue operations nightmare firsthand. His days were consumed with juggling dozens of different apps – one for contracts, another for invoicing, yet another for payment tracking, and endless spreadsheets to tie it all together. \n\nThe \"_solution_\" was always to hire more FTEs to manage the chaos, but that just shifted the burden of wrestling with broken processes to someone else.\n\nTeaming up with his childhood friend [Bailey](https://www.linkedin.com/in/bailey-spell-b487ab149/), who had been building AI Agents for the past 2 years, they recognized this wasn't just their problem – it's a universal pain for any company with contracts that need to get paid. \n\nThey're on a mission to liberate founders and finance teams from revenue operations chaos, giving them back the time and clarity needed to focus on what matters most: growing their business.\n\n![uploaded image](/media/?type=post&id=86964&key=user_uploads/671520/fb4f1b72-713e-444d-a5b5-eb170a3a18db)\n\n", "url": "https://www.ycombinator.com/launches/Mce-ledgerup-handle-all-billing-from-slack", "votes": 11, "created_at": "2025-01-20T06:36:33.585Z" }, { "id": 82825, "title": "LedgerUp - Your AI teammate that handles all billing and revenue from Slack", "tagline": "Your AI billing teammate in Slack", "body": "Hey everyone! We’re Joe and Bailey from LedgerUp. We leverage AI to handle back-office finance and accounting tasks so you can get back to running your startup.\\\n\\\n**Tl;dr**\n\nUse [LedgerUp](https://ledgerup.ai/) to take care of back-office finance and accounting tasks. From daily bookkeeping to investor-ready reporting, we handle everything in between, and with integrations directly into your email/Slack inbox you are only a click away from automating a task or gathering insights on your financials.\n\n❌ **The Problem**\n\nAs a startup founder, you need to focus on PMF and scaling your business. You shouldn’t have to worry about your finances. Right now, you might be:\n\n* Wondering about your burn rate or spending\n* Struggling to keep up with bills and invoices\n* Spending too much time on bookkeeping (_or overpaying_)\n* Dealing with mistakes in your financials\n* Unsure if your books are correct\n* Sprinting to get financials ready for investors\n* Using ChatGPT/Perplexity for one of the above tasks but frustrated that the output has to be manually entered into your accounting software\n\n✨ **Our Solution**\n\nSimply connect LedgerUp to your current tools (QuickBooks, Stripe, Bank Account, etc.), and we handle the rest. Our AI Bookkeeping and Finance Assistant can help you…\n\n🚀 Keep track of your burn rate and spending daily\n\n💼 Create & send invoices and subscriptions from contracts\n\n💰 Have customers pay you on time\n\n🧾 Enter and pay bills easily\n\n📊 Have financials always ready for investors\n\n📅 Be ready for tax season without stress\n\n⏳ Save time by automating bookkeeping tasks\n\n🔍 Ensure your financials are accurate and detailed\n\n![uploaded image](/media/?type=post&id=82825&key=user_uploads/671520/618dfc1a-99d3-4384-b12e-b494e5d319b9)\n\n🙌 **Our Asks**\n\nTry [LedgerUp](https://ledgerup.ai/)↗️! We will make your bookkeeping and finance easy and worry-free.\\\n\\\n**The Deal:** $100 off + free bill and invoice management included (_for first 3 months_)\n\nFollow us on [Twitter](https://x.com/tryLedgerUp) or [LinkedIn](https://www.linkedin.com/company/ledgerup-ai/). Our inboxes are always open.\n\nShare this with any startup founders or small businesses who need better bookkeeping and finance solutions.\n\nIf you have 10 minutes to chat about LedgerUp, please [book a time](https://cal.com/joe-ledgerup/10-minute-meeting) with us😊\n\n![uploaded image](/media/?type=post&id=82825&key=user_uploads/671520/962ba37e-91d9-4efe-b822-0983334093dd)\n\n", "url": "https://www.ycombinator.com/launches/LXt-ledgerup-your-ai-teammate-that-handles-all-billing-and-revenue-from-slack", "votes": 54, "created_at": "2024-08-07T18:48:51.459Z" } ] }, { "id": 29704, "name": "Modus", "slug": "modus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8658330ee98ad5bd743668f353f13f0f8106bd38.png", "website": "https://himodus.com", "all_locations": "Austin, TX, USA; Remote", "long_description": "Modus helps companies hire and retain only the people they need instead of becoming bloated messes. Modus connects your HRIS, ATS, and analyzes extensive data across your organization so leaders can detect, inspect, and correct their workforce plans - without relying on spreadsheets or complex systems. \r\n \r\nLin experienced these challenges firsthand as a VP BizOps at HashiCorp, scaling from 100 employees to IPO, while Chris and Amar faced similar issues scaling 40+ person teams as a fractional CTO. They’re motivated by the belief that companies should have the least number of employees possible. ", "one_liner": "Unlock revenue per employee with AI-powered headcount management", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1723584667, "tags": [ "Finance", "B2B", "HR Tech", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Our ‘level 5’ vision is to automate workforce management at scale and to build efficient companies with the least number of employees possible." } ], "url": "https://www.ycombinator.com/companies/modus", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/modus.json", "year_founded": 2024, "city": "Austin", "country": "US", "linkedin_url": "https://www.linkedin.com/company/himodus/", "x_url": "https://x.com/HiModus", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8658330ee98ad5bd743668f353f13f0f8106bd38.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1899616, "full_name": "Lin Ling", "title": "Founder/CEO", "founder_bio": "Lin is Co-founder and CEO of Modus. Before Modus, she was a VP BizOps at HashiCorp and helped scale from 100 to 2500 employees to IPO (rang the bell in NY). \n\nPrior to that, she implemented ERP systems at five Fortune 500 companies as a Deloitte Consultant. The clunky nature of these tools led her to appreciate the flexibility of spreadsheets but also the craft in modern software. \n\nLin received her Bachelor's in Econ, Comp Sci, and Math at NYU Stern. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/linling1", "x_url": "https://twitter.com/linnyisms", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4339b606c67dcd01176017e64c9bad3a0ae70a3f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83088, "title": "Modus: Headcount management to save costs as you scale", "tagline": "We help companies hire and retain only the people they need without the unnecessary bloat.", "body": "[Modus](https://www.himodus.com) is headcount management that helps companies never over-hire as they scale. Modus brings Finance, HR, and Hiring Managers to detect, inspect, and correct their workforce plan in one unified workflow.\n\nToday, much time is wasted reconciling headcount across departments and exporting across disparate systems. Incomplete and outdated data adds to the pain. Companies overhire, then fire. Cycle perpetuates. Bloat and inefficiencies persist.\n\n[Lin](https://www.linkedin.com/in/linling1/) experienced these pains directly as VP of BizOps at HashiCorp, scaling from 100 to 2500 through IPO. Modus was founded on the belief that companies should have the fewest employees possible.\n\n# \n\n![uploaded image](/media/?type=post&id=83088&key=user_uploads/1899616/a1595755-bf0e-4166-a296-2badb2dcff54)\n\n# 🤯 **The Problem: Headcount planning and reporting remains manual and painful**\n\n![uploaded image](/media/?type=post&id=83088&key=user_uploads/1899616/0dd981e5-f59d-40ec-8ee8-53782bb12622)\n\nOverhiring in tech has led to over 200,000 layoffs, costing companies billions. Workforce costs account for 70-80% of a company’s expenses, yet companies still make workforce decisions in error-prone, manual spreadsheets with incomplete data. Re-orgs, department changes add to the pain. Reconciliation is messy and time-consuming. Accuracy suffers. The cycle perpetuates. As Taylor Swift might say, _“I’ve seen this film before, and I didn’t like the ending.”_\n\n# 🪄 **Our Solution: AI-powered headcount management**\n\nModus integrates with your existing HRIS and ATS systems, using AI to help you detect anomalies, inspect, and correct your workforce plan.\n\nWith Modus:\n\n❌ Overhiring\\\n❌ Layoffs\\\n❌ Incomplete data \\\n❌ Useless meetings \\\n✅ Hire and retain only the people you need\\\n**✅** Increase visibility\\\n**✅** Collaborate off a single source of truth\\\n**✅** Save costs as you scale\n\nThe more Modus learns, the more it streamlines and automates your headcount management processes at scale.\n\n# 🙋🏻‍♀️**The Ask**\n\n**Share this post!**\n\nKnow anyone in your network managing headcount, bogged down by spreadsheets? A VP in Finance, HR, or Operations? Please share this post (or the blurb below).\n\n* _Modus is headcount management to save costs as you scale. With the help of AI, our software analyzes extensive data across your organization, helping you remove the bloat and correct your workforce plan – all in one unified workflow. Founders are Lin (ex-HashiCorp), Amar (ex-Finfare), and Chris (ex-OpenGov, 2x founder) with combined experience scaling companies from 0 to 1, to $8B+, and through IPO. Contact _[_lin@himodus.com_](mailto:lin@himodus.com)_ for a demo and trial._\n\n![uploaded image](/media/?type=post&id=83088&key=user_uploads/1899616/63aaef2e-9c70-4e4e-a022-617e76385024)\n\n", "url": "https://www.ycombinator.com/launches/Lc8-modus-headcount-management-to-save-costs-as-you-scale", "votes": 60, "created_at": "2024-08-15T16:36:11.526Z" } ] }, { "id": 29712, "name": "Benchify", "slug": "benchify", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aa52a1a9c842c1d4e04662a2a7d816a9091d88c6.png", "website": "https://www.benchify.com", "all_locations": "San Francisco, CA, USA", "long_description": "Benchify provides an execution layer for healthcare contracts, applying contract logic across audits, claim processing, and optimization. Payments are calculated correctly today, while contract performance becomes measurable and improvable over time.", "one_liner": "Executable healthcare contracts", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1722544425, "tags": [ "Finance", "B2B", "Healthcare", "Insurance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "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/benchify", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/benchify.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/benchifyinc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Benchify", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aa52a1a9c842c1d4e04662a2a7d816a9091d88c6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/463aa9117e0d0eaeb9290d9735da81d5f441ea88.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1661832, "full_name": "Juan Castaño", "title": "Founder/CEO", "founder_bio": "Juan Castaño is the co-founder and CEO of Benchify. Prior to Benchify, Juan bought and sold a business for 5x MOIC, created MVPs for 9+ clients as a UI/UX designer, devised GTM strategy at Instawork (Series C), initiated a growth product team at Klaviyo (pre-IPO), and advised on due diligence transactions at McKinsey & Company. Juan studied Economics and Human-centered design at Dartmouth and holds an MBA from MIT Sloan.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/juan-castano97/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1643d6d250cb2ac2cc93e0943b32a923467002fa.jpg" }, { "user_id": 1661865, "full_name": "Max von Hippel", "title": "Founder/CTO", "founder_bio": "Max von Hippel holds a PhD in Computer Science from Northeastern University, focused on security and interactive theorem proving. Before that, he completed a BS in Pure Mathematics at the University of Arizona. But most importantly, he holds a Blue Belt from 10th Planet Jiu Jitsu. Max grew up in Anchorage Alaska and is deeply passionate about software assurance (who isn't?).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/max-von-hippel-3b90742a8/", "x_url": "https://www.x.com/maxvonhippel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/440e7dcc42e7f22354584acbb0e5d4bc626f742d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94193, "title": "Benchify: Instant self-healing codegen", "tagline": "Fix & bundle your generated code at lightspeed", "body": "### **TL;DR**\n\nBenchify handles the middle mile of codegen ensuring that generated code just works and is instantly executable. It’s a one-line SDK call between LLM clients and sandboxes to deliver instant code repair, accelerated bundling, and observability.\n\n### **Who**\n\nAnyone depending on non-human-in-the-loop codegen: – app builders, dynamic websites, agents, etc.\n\n### **Problem**\n\nGenerated code breaks — constantly.\n\nOn top of normal bugs like duplicate function calls, parse errors, or missing or extra parens, AI systems introduce new ones, such as stray tool calls, /\\* rest of code goes here \\*/, and malformed diff applications. Running that code inside sandboxes only compounds the pain: every piece has to be perfect for execution to succeed, and the sandbox boot time delays the inevitable. Since all the sandboxes are just firecracker VMs designed to run anything, they’re not optimized for the common workflows builders actually care about. The result is slow setup, fragile execution, and painful feedback loops.\n\n* **Missed errors**: Users hit error screens as soon as code loads in the browser. \n* **Delayed generations**: LLM-based auto-healing stretches generation times, slowing iteration.\\\n **Token burn**: Edge-case failures trigger endless retries that chew through tokens without progress.  Often bugs are inherently out-of-distribution and thus hard to fix with AI.\n* **Setup lag**: Sandboxes take 30-120s to boot before code even runs, adding cold-boot lag to the rep-cycle when there’s an error.\n* **Lost data:** Sandboxes don’t easily track errors and the errors or only show the first (breaking) bug, making it hard to detect all the errors in code at once to push improvements \n* **Templates:** The use of templates speeds up sandboxes but leads to even more brittleness as the template has to be in perfect lockstep with the codegen.\n\n \n\n### **Solution**\n\nBenchify combines **non-AI techniques** (static analysis + program synthesis) with **highly optimized infrastructure** to deliver _turn-key code_ — fixed and bundled — in O(1 second).\n\nIt drops in as a **one-line SDK call** between your LLM client and the sandbox. If you’re only doing front-end work, you can skip the sandbox entirely and render directly from Benchify’s bundled output.\n\n![uploaded image](/media/?type=post&id=94193&key=user_uploads/1661832/dcd85900-d61c-47e4-b71e-0ef6244e5fd0)\n\n**Code Repair**: Sub second fixes for parsing, dependency, CSS/Tailwind, type, and interaction errors (e.g. empty-Select) with more on the way. If there’s an issue you’re running into, let us know and we can add a fix!\n\n![uploaded image](/media/?type=post&id=94193&key=user_uploads/1661832/5d3a354c-69ee-4f5c-8437-0d0360f28874)\n\n**Bundling**: Build and dependency resolution in 1-3s.\n\n* _Front-end_: Returns code that instantly renders on client via our SDK.\n* _Full-stack_: Bundles code that executes in any sandbox (skipping slow dependency & build steps) — the only delay left is sandbox cold boot.\n\n![uploaded image](/media/?type=post&id=94193&key=user_uploads/1661832/10606bbc-8df4-43f8-a574-aa9f0bd97d26)\n\n**Observability**: Analytics on error patterns in generated code.\n\n**Product Demo** \n\nhttps://youtu.be/my7yzpp8AqY\n\n### **How it works**\n\nBenchify’s analysis engine detects bugs and dispatches them to a growing library of static repair strategies in a fraction of a second. Strategies are optimized for different bug types, and layered using an incremental parsing approach, since sometimes fixing one bug unlocks others.  Each candidate fix is re-analyzed, with the best one selected automatically provided it yields a strict improvement in the code.  The architecture builds on prior research in _program synthesis_ and _program repair_, where the idea is to have a collection of strategies that may or may not work at fixing different bug types, combined with an analysis and execution engine that can efficiently determine whether or not a strategy succeeded.\n\n### **Story**\n\nWe entered YC with a formal-methods-driven code review product. But unreliable LLM-generated test harnesses kept breaking it. Talking with builders made it clear: **the real bottleneck was brittle codegen itself.** We pivoted to focus entirely on making generated code self-healing.\n\n### **Ask**\n\nWe’re focused on app builders today, but our core tech generalizes: agents, self-updating sites, programmatic ads, and more.\n\nIf generated code is slowing you down, let’s talk.", "url": "https://www.ycombinator.com/launches/OVF-benchify-instant-self-healing-codegen", "votes": 36, "created_at": "2025-09-29T17:06:35.366Z" }, { "id": 83014, "title": "Benchify: Automatic code reviews that work", "tagline": "Better testing without writing tests.", "body": "![uploaded image](/media/?type=post&id=83014&key=user_uploads/1661832/cb65a61c-fa84-4ccf-a1d5-2f6bf33b88fa)\n\n# TL;DR\n\n[Benchify](https://www.benchify.com/) is a code review tool that uncovers real bugs by actually running your code on strategically generated inputs, using methods typically restricted to rocket science and chip design.  When errors are found, Benchify provides verified bugs, unit tests, and a patch (coming soon).\n\n# The problem\n\nEngineers (like you) spend almost half their time testing and debugging, which, let’s be honest, they’d rather spend doing literally anything else.\n\n* **Lower velocity:** Projects are delayed by testing & debugging\n* **Site outages:** Despite all the effort, critical errors slip through, leading to site outages and other failures\n* **Low test coverage:** Developing exhaustive tests is nearly impossible and generally put off for later…\n* **Shallow test depth:** Testing is limited to a few hard-coded cases\n\n# The solution\n\n![uploaded image](/media/?type=post&id=83014&key=user_uploads/1661832/ed5d818b-cba4-41cf-9ca7-f9b9ca419737)\n\nWe test your code using _magic_ (ok, formal methods) and deliver the results in an actionable comment on your PR.\n\n* **Automatic logical blueprint:** Benchify automatically writes a blueprint that says how your code is intended to function\n* **Run thousands of tests:** Benchify tests your code against the blueprint using thousands of strategically generated inputs\n* **Provide counterexamples:** Concrete, minimal counterexamples are provided when code fails so you can easily debug\n* **Generate unit tests:** We automatically translate counterexamples into unit tests for easy reproducibility and test-driven development\n* **Propose solutions:** When Benchify detects an error, it attempts to propose a solution, which it subjects to the same battery of tests as the original code\n\n## Does it work?\n\nThe testing techniques Benchify uses are typically leveraged for mission critical use cases, such as silicon chip design, rocket engineering, and high-speed trading. Our secret sauce is in making these techniques usable and actionable. \n\n# The Team\n\n![uploaded image](/media/?type=post&id=83014&key=user_uploads/1661832/09a8c140-f845-4f96-9113-6daac4963be2)\n\nMax and Juan first met as bright-eyed freshmen at Dartmouth College almost a decade ago and have been fast friends and on-and-off roommates since.  They’re deeply passionate about software assurance (who isn’t?) and excited to test your code.\n\n* [**Max**](https://www.linkedin.com/in/max-von-hippel-3b90742a8/) holds a PhD in Computer Science from Northeastern University, focused on security and interactive theorem proving. He has worked at NASA, the DoD 😉, and Galois. Most importantly, he holds a Blue Belt from 10th Planet Jiu Jitsu. \n* [**Juan**](https://www.linkedin.com/in/juan-castano97/) built and sold a business, helped companies like Instawork and Klaviyo grow, and advised on deals at McKinsey. Juan double-majored in Economics and survival skills at Dartmouth (okay, the second one isn’t official), and later picked up an MBA from MIT, where he unfortunately missed out on a chance to test his skills with the [pirate certificate](https://physicaleducationandwellness.mit.edu/about/pirate-certificate/).\n\n# Asks\n\n* Hop on a [call](https://calendly.com/d/cpyy-ffc-ynf/juan-max-30-min) with us to try out Benchify or talk about your frustrations with software testing\n* [Try out](http://www.benchify.com) our beta code reviewer and give us feedback\n* Shoot us an email at [hello@benchify.com](mailto:hello@benchify.com) with your biggest backend software testing pain points, and we’ll see if we can help out!", "url": "https://www.ycombinator.com/launches/Law-benchify-automatic-code-reviews-that-work", "votes": 45, "created_at": "2024-08-13T23:22:03.337Z" } ] }, { "id": 29735, "name": "FINNY AI", "slug": "finny-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f2d0e659d5d03f52a35513c7fe53a3701c771832.png", "website": "https://www.finny.com/", "all_locations": "New York City, NY, USA", "long_description": "FINNY is the AI-native organic growth engine for financial advisors, focused on helping them grow their practices\r\n \r\nOur goal is to empower financial advisors to reach the right potential clients at the right time, with the right message. We are building a world where anyone who wants financial advice can connect with the right advisor, while helping advisors ensure organic growth, the most existential problem advisors face. \r\n \r\nThe organic growth process has historically been highly inefficient and full of noise. Advisors often waste 60+ hours of business development to convert 1 new client. \r\n\r\nAt FINNY, we are certain we can do better with AI. With our tool, advisors can:\r\n- Identify prospects within their target niche, aggregating thousands of data points per lead\r\n- Prioritize prospects based on their predicted likelihood of converting using F-Score, a score unique to each advisor and prospect pair\r\n- Automate the outreach and meeting scheduling with their high priority prospects\r\n\r\nIn essence, FINNY does all the rote work for the advisors, letting them focus on what actually matters: the client relationship.", "one_liner": "The organic growth engine for financial advisors ", "team_size": 35, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1716852989, "tags": [ "Fintech", "Machine Learning", "Finance", "Sales Enablement", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/finny-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/finny-ai.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/finnyai/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/finny-6acf", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f2d0e659d5d03f52a35513c7fe53a3701c771832.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 1755270, "full_name": "Eden Ovadia", "title": "Founder/CEO", "founder_bio": "Eden is the Co-founder and CEO of FINNY.\n\nShe studied Software Eng. at McGill University with a focus on ML. Prior to starting FINNY, Eden was at BCG where she worked in Private Equity & Financial Services. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/edenovadia", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1cb89e9ce9be37246ecb1f3e0e66556756e6db01.jpg" }, { "user_id": 1754854, "full_name": "Theodore Janson", "title": "Founder/CTO", "founder_bio": "Theo is the co-founder and CTO at FINNY. \nBefore FINNY, Theo worked as an applied ML engineer in an early Fintech startup, leading the development of statistical models and LLMs for automated financial analysis. He has also held research roles in LLM explainability and particle physics. Theo has degrees in electrical engineering and CS from Ecole Polytechnique (X) and McGill University.\n\n\n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/theodore-janson", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b30d06543a1a116e358a9ec48f753d7e759411e2.jpg" }, { "user_id": 1630058, "full_name": "Victoria Toli", "title": "Founder", "founder_bio": "Victoria is the co-founder and CPO of FINNY, an AI-driven growth engine for financial advisors. \n\nBefore FINNY, she was a Product Manager at Uber, where she led growth and international expansion for Uber One. She holds a BS in Symbolic Systems, Artificial Intelligence from Stanford. Victoria grew up in Athens, Greece. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/victoria-toli/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9493c48a901d6d10732682c7f6b2b657f49c8953.jpg" } ], "jobs": [ { "id": 92443, "title": "Product Engineer ", "url": "https://www.ycombinator.com/companies/finny-ai/jobs/diUrCMS-product-engineer", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 110017, "title": "Senior Account Executive, Enterprise ", "url": "https://www.ycombinator.com/companies/finny-ai/jobs/ZpW4jSD-senior-account-executive-enterprise", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "", "experience": "6+ years", "visa": "Will sponsor", "skills": [] }, { "id": 110018, "title": "Growth Marketing Manager ", "url": "https://www.ycombinator.com/companies/finny-ai/jobs/tVk0vEd-growth-marketing-manager", "location": "New York, NY, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$140K - $170K", "equity_range": "", "experience": "6+ years", "visa": "Will sponsor", "skills": [] }, { "id": 110019, "title": "Growth Strategist, Enterprise ", "url": "https://www.ycombinator.com/companies/finny-ai/jobs/woHEz5n-growth-strategist-enterprise", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$130K - $150K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [ { "title": "WealthTech Roundup: FINNY Partners With Osaic for AI", "url": "https://www.wealthmanagement.com/artificial-intelligence/wealthstack-roundup-finny-partners-with-osaic", "date": "Jan 29, 2026" }, { "title": "FINNY closes $17M Series A to help RIAs fight organic growth squeeze - InvestmentNews", "url": "https://www.investmentnews.com/fintech/finny-closes-17m-series-a-to-help-rias-fight-organic-growth-squeeze/263644", "date": "Dec 18, 2025" }, { "title": "FINNY Adds Multi-Channel, Automated Prospect Outreach Feature", "url": "https://www.wealthsolutionsreport.com/finny-adds-multi-channel-automated-prospect-outreach-feature/", "date": "Aug 07, 2025" }, { "title": "YC-backed Finny is using AI to match financial advisors with prospects | TechCrunch", "url": "https://techcrunch.com/2024/12/11/yc-backed-finny-helps-financial-advisors-find-new-clients/", "date": "Dec 11, 2024" }, { "title": "Finny and the Great AdvisorTech Acceleration | Wealth Management", "url": "https://www.wealthmanagement.com/technology/finny-and-great-advisortech-acceleration", "date": "Aug 12, 2024" } ], "launches": [ { "id": 82467, "title": "⚡FINNY - Supercharge organic growth for Financial Advisors", "tagline": "We help independent financial advisors find and convert new clients, using AI. ", "body": "Hey everyone, we are Theo, Eden, and Victoria — the founders of [FINNY](https://www.finnyai.com/). We help independent financial advisors find and convert new clients, using AI.\\\n\\\nIf you’re confused as to why the three of us are so excited about building for financial advisors, keep reading.\n\n![uploaded image](/media/?type=post&id=82467&key=user_uploads/89898/9cd181f2-59e6-4458-b5c9-250b9399ee43)\n\n# 🧑‍🔬 **The Team**\n\n**🏦The Sales Whisperer**  \n\n[Eden](https://www.linkedin.com/in/edenovadia/) was most recently at BCG NYC, where she primarily worked in the Tech, Financial Institutions & Private Equity practices. She holds a BEng in Software Engineering from McGill (ML focus). \n\n**👾The Model Man** \n\n[Theo](https://www.linkedin.com/in/theodore-janson/) worked as a ML engineer at an early Fintech startup and AI researcher in Explainable ML. He holds a BEng in EE and Math from McGill and MS in AI from Ecole Polytechnique, Paris.\n\n**👩🏼‍🎨The Visionary** \n\n[Victoria](https://www.linkedin.com/in/victoria-toli/) came from Uber, where she led membership growth for Uber One as a Product Manager. She holds a BS from Stanford in Symbolic Systems (AI focus). \n\n# **🫶🏻 Why are we obsessed with Financial Advisors?**\n\n* **The Great Wealth Transfer** - $80T of wealth will be transferred from the Boomer/Silent Gen to the next generation over the next 20 years. \n* **Retiring advisors** - 45,000 financial advisors are over the age of 65 in the US, managing $3T in wealth that will change management when they retire.\n* **Wealth creation** - Wealth is being created in unprecedented ways (E.g., Innovation, Entrepreneurship, Social media, Racial wealth gain), but the institution serving the wealth has not changed\n* **Consolidation** - Private equity driving consolidation of a historically long tail of independent advisors\n* **Price Inertia:** Financial Advisors are used to paying 25 bps annually IN PERPETUITY for referrals. That’s $200B annually from the wealth transfer alone.\n\n \n\n# 💀 **The Problem FINNY is Solving**\n\nFinancial advisors manage >$100T in assets globally. Yet, bringing on new clients is highly inefficient. Their best bet is to repurpose horizontal solutions - like Linkedin, ZoomInfo, and Pitchbook - to create long and noisy prospect lists. However, without a proper way to qualify these leads or even reach their particular niche at scale, advisors end up spending an average of **58 hours** going after the wrong, often unqualified prospects before converting one new client.\n\n![uploaded image](/media/?type=post&id=82467&key=user_uploads/1755270/ea1b3592-dc3a-4581-86ad-447709eec5bf)\n\n# 💡 **The Solution**\n\nFINNY is reimagining organic growth for financial advisors with AI. Our first product, a multi-channel Sales agent, allows users to sit back and relax while it goes “out in the wild” (aka our massive database of high-net-worth individuals) and prospects for them. It’s like your intern, except it’s always on, running in the background.\n\nFINNY’s goal is for advisors to wake up in the morning to meetings with prospects on their calendars, entirely booked by FINNY. Our value proposition is three-fold: \n\n1. **_Prospect identification:_**\n * _We identify prospects within their target niche, aggregating thousands of data points per lead and constantly monitoring for life triggers_\n\n  \n2. **_Prospect prioritization_:**\n * We prioritize prospects based on their predicted likelihood of converting, a score unique to each advisor and prospect pair\n3. **_Prospect outreach & engagement:_**\n * _We automate the outreach and meeting scheduling with the high-priority prospects, intelligently selecting the optimal channel for the specific prospect_\n\n![uploaded image](/media/?type=post&id=82467&key=user_uploads/1755270/2df42888-af79-4d31-a06f-a153ff0487e7)\n\n# ✅ **Progress so far**\n\nIn just 3 months, we have:\n\n* Released the **1st** and **2nd iteration** of the product to 15 advisory firms.\n* Grown revenue by >**11x** MoM.\n* Got **70** firms to join our waitlist, without any acquisition efforts or outbound.\n* **Won** Morningstar’s Fintech Showcase last month.\n* Have been getting some **buzz**! [Here](https://www.businesswire.com/news/home/20240724776742/en/Future-Proof-Announces-Groundbreaking-Lineup-of-Fintech-Demo-Drop-III-Finalists) and [here](https://www.downtownjoshbrown.com/p/future-financial-advice-already-993f).\n\n \n\n![uploaded image](/media/?type=post&id=82467&key=user_uploads/1755270/5a150faf-0c65-424a-96f1-90f6e4c79b94)\n\n# **❓One Ask for You (If you made it this far)**\n\nIf you ever thought about working with a financial advisor, evaluated one, currently work with one _(or want to get matched with one_ **😉**_),_ we’d love to talk to you. Book 15 min with us [here.](https://calendly.com/eden-finny/finny-intro-call) If you’re in SF, we’ll buy you a coffee. If not, let’s call it an IOU.", "url": "https://www.ycombinator.com/launches/LS7-finny-supercharge-organic-growth-for-financial-advisors", "votes": 62, "created_at": "2024-07-26T15:05:12.600Z" } ] }, { "id": 29745, "name": "Sharpe", "slug": "sharpe", "former_names": [ "January", "Lumenary", "Lumenary, Inc.", "Lumenary" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed377f5e3e709abc9139475076cec71316b01c06.png", "website": "https://sharpe.sh", "all_locations": "San Francisco, CA, USA", "long_description": "Sharpe helps traders go from idea to profit in minutes with AI, bundling petabytes of market data with high-performance infrastructure.", "one_liner": "Agents for quantitative research and financial data science.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1722638950, "tags": [ "Finance", "Analytics", "Big Data", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/sharpe", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/sharpe.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sharpe011235", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed377f5e3e709abc9139475076cec71316b01c06.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 308988, "full_name": "Vivek Hazari", "title": "Founder", "founder_bio": "Vivek is a co-founder of Sharpe. Vivek spent 2 years at Palantir Technologies, where he worked across the commercial business, and later help found and lead a team to aid the development of AIP. He studied Computer Science and Philosophy at Dartmouth College, where he did research on applications of language models.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vivekhaz/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0cf7befe3f5ca27609ce2af3997c897f306b3e72.jpg" }, { "user_id": 1131934, "full_name": "Daniel DiPietro", "title": "Founder", "founder_bio": "Dan is the co-founder of Sharpe. Previously, Dan worked at Jane Street, where he built capital allocation optimizations used in production to invest billions of dollars of assets, as well as an options tool used to execute >$100m of trades annually. He has published multiple first-author publications in high-impact venues like NeurIPS and CoRL. Dan moonlights as a botanist and published a best-selling botanical textbook on carnivorous plants while studying at Dartmouth College.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daniel-dipietro/", "x_url": "https://twitter.com/dandipietro1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b72974d4717fb918125809f70966e2f04f32fc1e.jpg" }, { "user_id": 1944134, "full_name": "John McCambridge", "title": "Founder/CPO", "founder_bio": "CTO of Sharpe & former high-frequency trading engineer - I like to fly (and jump from) small aircraft, build rockets with kitchen chemicals, visit vulnerable endpoints, and play poker - Born in New Zealand, raised in Scottish Highlands.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/johnmccambr", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d068cf589b32c00f9e6b858284fcb48465e279f2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 91284, "title": "Solar: An infinite canvas for vibe-coding production apps", "tagline": "We build the most complicated full-stack apps, faster than anywhere else.", "body": "## TL;DR\n\nSolar lets small teams collaborate with AI agents to build and deploy production apps in minutes. Like Figma, but no mockups—just real software with live data and backend Python functionality. Built by our full-stack AI agent, powered by your imagination.\n\nhttps://youtu.be/Gl03z0M8BWk\n\n## Why this, and why us?\n\nHi everyone! We’re Vivek, Dan, John, and Ziray: the team behind [Lumenary](http://www.lumenary.com). We met each other during our first few weeks at Dartmouth and have been best friends ever since. We’ve lived together, worked together, traveled the world together, and have even summited some notable peaks together (don’t ask about Mount Shasta).\n\nOur team brings together engineering from Palantir, Jane Street, IMC Trading, and Flatiron Health. We’ve built enterprise-grade AI products, a capital allocation system that controls billions, a data engine that processes petabytes–we _all_ build and deploy software _quickly_ in contexts _where it cannot fail_.\n\nSolar began as an internal tool that we used to ship enterprise demos faster than any tool on the market. We decided to productize and focus on Solar completely.\n\n![uploaded image](/media/?type=post&id=91284&key=user_uploads/1944134/0e7139b1-e4ab-4818-b5c5-040e6c1e6d37)\n\n## The Problem\n\nWe’re a team of four engineers who’ve used nearly every AI-powered app builder. Projects started off great, but we found ourselves in an endless loop of “revert, and try again.” Most of our time was spent waiting and hoping as the LLM made changes one-at-a-time.\n\nEven when the app seemed to work, it was unclear what were real features versus frontend demoware. We lacked an understanding of the architecture, dataflow, and what vulnerabilities were left open. It felt like these platforms had prioritized making neat frontends and bolted on real functionality as an afterthought.\n\n![uploaded image](/media/?type=post&id=91284&key=user_uploads/1944134/f231fdfb-a63c-4006-a269-db8dd2df2376)\n\n## What we do\n\nWe loved three things:\n\n* Figma’s flexibility — work on many designs with many people\n* Cursor’s power — write production code with LLMs\n* Retool’s safety — ship apps that you know work\n\nWe combined those to make Solar.\n\nSolar’s AI agents collaborate alongside you on a multiplayer canvas. You can see the relationships and data flow between database tables, backend Python logic, and frontend pages.\n\n![uploaded image](/media/?type=post&id=91284&key=user_uploads/1944134/12b01a63-bcd6-430d-bb33-4b274d542423)\n\nSolar makes apps production-worthy by combining LLM-generated code with deterministic code generation for databases, services, and authentication. This makes your apps maintainable and deployable past the MVP, and able to integrate nicely with existing infrastructure.\n\nWe’re the most agentic platform on the market: Solar will read logs, interact with your application, and work for minutes or even hours unattended to get it perfect.\n\n## Our Ask\n\nSign up at https://solarapp.dev and try building an app.", "url": "https://www.ycombinator.com/launches/NkK-solar-an-infinite-canvas-for-vibe-coding-production-apps", "votes": 27, "created_at": "2025-06-13T15:20:00.950Z" } ] }, { "id": 29804, "name": "Thyme", "slug": "thyme", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f2ad649a18852dafbb67750b37634ebaf5846cdc.png", "website": "https://www.meetthyme.com/", "all_locations": "San Francisco, CA, USA", "long_description": "There are 300k+ financial advisors in the US using a digital Rolodex to manage their client relationships, and it's time for a makeover.\r\n\r\nAt Thyme we are building the OS for financial advisors that allows them to automatically take notes in meetings (in-person, online, and phone calls), manage their client records with the help of AI, and offer a client portal where clients can track their assets, manage tasks, and even pay for their services. \r\n\r\nOur users have replaced their legacy CRMs and billing solutions with us while deepening their clients' relationships thanks to our client portal and AI tooling that puts rich context at their fingertips.", "one_liner": "The OS for financial advisors", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1721429440, "tags": [ "Fintech", "Finance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Acquired", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/thyme", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/thyme.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/thyme-yc-s24/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f2ad649a18852dafbb67750b37634ebaf5846cdc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/716b46984dc9861c415cc0af0f2554902e77e0b4.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e7ebb562ab21e4bbe89f7a64e4689e1e5bfb3638.png" ], "primary_partner": null, "founders": [ { "user_id": 1990568, "full_name": "Daniel Lantz", "title": "Founder/CTO", "founder_bio": "I am originally from Texas and currently reside in Richmond, VA. Prior to co-founding Thyme, I worked as a software engineer at Capital One, trovata.io, and Campfire (YC S23).\n\nIn my free time, I enjoy Brazilian Jiu-Jitsu, chess, and spending time with my wife and son.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dflantz/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/75e521f94b8ea0c4fe37fc96a2726dcaf11b4e0e.jpg" }, { "user_id": 847698, "full_name": "Fernando San Martin", "title": "Founder/CTO", "founder_bio": "Electrical engineer from Spain. I moved to SF to start my career.\nFor the most part, I've worked at the intersection of finance, software, and data at places like Capital One, Zippi (YC s19), and Trovata.\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/fsanmartinjorquera", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a09be096d062b31a9f89b15bb2cd57fbf098f7d3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 82372, "title": "🌿 Thyme: meeting intelligence for financial advisors", "tagline": "Run 10x better meetings as a financial advisor.", "body": "**tl;dr: **[**Thyme**](https://www.meetthyme.com/)** enables financial advisors to run 10x better meetings. We cover meeting prep, transcription, summarization, CRM syncing, and document parsing. Please introduce us to any financial advisor in your network!**\n\n# 🧑‍🤝‍🧑 About us\n\nWe are Fernando San Martin (left), and Daniel Lantz (right). We've worked together at Capital One, trovata.io, Campfire (YC S23) and are now Thyme co-founders. Our mission is to build better software tools for financial advisors.\n\n![uploaded image](/media/?type=post&id=82372&key=user_uploads/847698/1370b41c-bff4-402b-be93-fc40ffa032cb)\n\n# **❗ The Problem**\n\nFinancial advisors spend hours every day preparing, running, and following up on client meetings. Their attention is split between engaging with the client and taking meaningful notes, and often, these notes are incomplete or non-existent.\n\n![uploaded image](/media/?type=post&id=82372&key=user_uploads/847698/3e9d6239-57f1-4a34-b794-7223d5eef16b)\n\nAfter finishing the meeting, the advisor has to expand on the few scattered words that they jotted down to create follow-up tasks and update their CRM with the new client insights.\n\n# ✅ **Our Solution**\n\nThyme solves all of the above. Using our app, the advisor can see their upcoming meetings, for which they can prepare by viewing a holistic profile about the client and even asking natural language questions.\n\nOnce in the meeting, our app uses state-of-the-art AI technology to transcribe, summarize, generate action items, and draft follow-up emails.\n\n![uploaded image](/media/?type=post&id=82372&key=user_uploads/847698/554cca4a-0ea6-40f2-ad21-effa09f00d16)\n\nFinally, our powerful integrations with the rest of the advisors’ tech stack also allow us to initiate workflows and send tasks and notes to other systems. Any financial documents submitted by the client are parsed and integrated into their profile.\n\nOur users describe the solution as a game-changer that saves them hours each week while creating much richer and more accurate notes and tasks that sync seamlessly with their stack.\n\n# 🙏 **Request**\n\n* If you like what we are building, upvote, comment, and follow us on [Linkedin.](https://www.linkedin.com/company/thyme-yc-s24/)\n* If you know of any financial advisors in your network, ask them if they would be interested in chatting. Here is a potential blurb you can use to introduce us: \"[Thyme](https://www.meetthyme.com) is changing how financial advisors run online meetings. Would you like to hear more directly from the team?\"\n* Like and re-share our upcoming public launch with your network later this week.\n* Reach out to us at [founders@meetthyme.com](mailto:founders@meetthyme.com) if you have ideas or suggestions or would like to simply meet.", "url": "https://www.ycombinator.com/launches/LQa-thyme-meeting-intelligence-for-financial-advisors", "votes": 110, "created_at": "2024-07-23T17:47:07.110Z" } ] }, { "id": 29840, "name": "Blaze", "slug": "blaze-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e4e9eaaae054562a704e2fa2c79cd662fa1de1a6.png", "website": "https://blaze.money", "all_locations": "Remote", "long_description": "Blaze (YC S24) is the agentic finance platform. For businesses it's an AI CFO that pays bills, invoices clients, and forecasts cash. For people it's an agent that sends money, converts currencies, and manages your finances globally: you set the rules, it handles the rest. \r\n\r\nOther AI finance tools just report. Blaze moves the money, on your approval, in stablecoins or straight through the banking system. The founders scaled their last startup to $1M in ARR, studied at Duke, NYU, and Cornell, and led teams at Spotify and Artsy. npx @blaze-money/cli · https://blaze.money", "one_liner": "Agentic Finance for your Life and Business", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech -> Payments", "launched_at": 1724981206, "tags": [ "Fintech", "Crypto / Web3", "Payments", "Finance", "AI" ], "tags_highlighted": [ "Crypto / Web3" ], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Fintech", "Payments" ], "regions": [ "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/blaze-2", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/blaze-2.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/useblazeapp", "x_url": "https://x.com/blaze_payments", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/blaze-payments", "github_url": "https://github.com/blaze-xyz", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e4e9eaaae054562a704e2fa2c79cd662fa1de1a6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/32b6cfc229b1ca146e875d8913f53334c0da7203.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b23b3243843bfac9385fa07e9f744b4dd190b5a6.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/2604eb06621ae7da34a3dad7a4b9615ea47aebea.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/774af9b5bbdce18803e42bc77308d5661c9177e8.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/396ee81d46aa6fc3c35efe9fc7b07cca81bfb27d.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3e4c92dc0f9056196308a8086f2779fe155baa63.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1447220, "full_name": "Faiyam Rahman", "title": "Founder/CEO", "founder_bio": "Faiyam is a full-stack engineer with a bachelors in mathematics from Duke and a masters of engineering from Cornell Tech. He is now the cofounder and CEO of Blaze Payments. \n\nHe is an avid traveler, most recently having completed a 6 month tour of India, Bangladesh, Nepal, Bali and Portugal. He is also an avid practitioner of yoga and meditation, and he enjoys long walks, the spoken word, and celebrating the joy of being alive.", "is_active": true, "linkedin_url": "https://linkedin.com/in/faiyam-rahman", "x_url": "https://x.com/faiyamrahman?s=21 ", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9cba0c6e814acf0ad3ef9359b109b18d80452940.jpg" }, { "user_id": 85958, "full_name": "Luc Succès", "title": "Founder/CTO", "founder_bio": "Luc is a 2 time VC backed founder. His first startup, Often, launched a keyboard app that enabled you to text your friends with Drake lyrics. Upon launch, Often blew up to #1 on the App Store and got over 400k downloads. He scaled his second startup Seasons, a rental service for high end menswear to $1mm in ARR.\n\nLuc is a seasoned tech leader, having led teams at Artsy & Spotify. He is also an avid traveler, having lived and worked in over 50 countries worldwide.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucsucces", "x_url": "https://x.com/lucsucces", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2f2d991ce92e352a925668beaa14834fea172da4.jpg" } ], "jobs": [ { "id": 93973, "title": "Special Projects Intern | AI Content Generation -- Work Directly with the CEO", "url": "https://www.ycombinator.com/companies/blaze-2/jobs/BON6JAn-special-projects-intern-ai-content-generation-work-directly-with-the-ceo", "location": "Remote (US)", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$1 / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 115184, "title": "Growth Engineering Intern | Work Directly with the CEO", "url": "https://www.ycombinator.com/companies/blaze-2/jobs/2MAby7B-growth-engineering-intern-work-directly-with-the-ceo", "location": "CA / US / MX / GT / BZ / HN / SV / NI / CR / PA / CU / JM / HT / DO / BS / BB / TT / LC / GD / VC / AG / DM / KN / CO / VE / GY / SR / EC / PE / BR / BO / PY / CL / AR / UY / Remote (CA; US; MX; GT; BZ; HN; SV; NI; CR; PA; CU; JM; HT; DO; BS; BB; TT; LC; GD; VC; AG; DM; KN; CO; VE; GY; SR; EC; PE; BR; BO; PY; CL; AR; UY)", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [] }, { "id": 115811, "title": "Sales Intern (Commission) | Book Demos for an AI CFO | Hiring Immediately", "url": "https://www.ycombinator.com/companies/blaze-2/jobs/ST1qTQq-sales-intern-commission-book-demos-for-an-ai-cfo-hiring-immediately", "location": "CA / MX / GT / HN / SV / NI / CR / PA / CU / BZ / HT / BS / TT / JM / DO / BB / LC / GD / VC / AG / DM / KN / US / CO / VE / GY / SR / EC / PE / BR / BO / PY / CL / AR / UY / Remote (CA; MX; GT; HN; SV; NI; CR; PA; CU; BZ; HT; BS; TT; JM; DO; BB; LC; GD; VC; AG; DM; KN; US; CO; VE; GY; SR; EC; PE; BR; BO; PY; CL; AR; UY)", "type": "Internship", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 108616, "title": "Blaze - AI CFO for Businesses", "tagline": "An AI CFO that pays your bills, collects your invoices, and forecasts your cash.", "body": "**TL;DR:** Blaze is an agent that runs the entire finance function for your business: pay bills, accept payments, forecast your cash flow, and keep your books current. Install it with **npx @blaze-money/cli**. Use it with your favorite agentic harness or at blaze.money/agentic-finance. ChatGPT, Claude apps, and OpenClaw plugin coming soon.\\\n\\\nOur launch video: \n\n## ❌ The problem\n\nYou're a lean team busy doing more than you can handle already, and finances feel like a perpetual weight on your shoulders. You know there are bills to pay, invoices to collect on, questions you want answered. But a real finance team costs $10,000 to $20,000 a month, and you could always \"do it yourself,\" so the problem goes on dangling, half solved, half annoyance, always taking up RAM.\n\nWhat ends up happening is bills get paid late, you spend money on some $300/month marketing software your interns bought months ago without you knowing, and real problems with your vendors, payroll, and runway sneak up on you at 2am on Sunday.\n\nWe've lived this personally. As a 3 year old, super lean fintech team running all our own finances, we know what it's like trying to keep the finances afloat while doing everything else it takes to make it big. It's not like the work is rocket science. It's just constant, manual, nagging, and spread across 18 different tools that need sense making.\n\nUntil recently, you had to pay $10,000 a month to hire a finance function. We'd like to change that.\n\n## 🛠 What we built\n\n![uploaded image](/media/?type=post&id=108616&key=user_uploads/85958/4ef6fa06-6115-4df5-bacf-cc481a437e15)\n\n\\\nChat with Blaze from your favorite agentic harness and watch it get real things done for your finances:\n\n* **Pay bills and contractors.** Tell it to pay the AWS bill and it finds the invoice, shows you the amount, and pays on your approval. \"Send Maria $3,000 for the design work\" works the same way, domestic or international.\n* **Collect payments and send invoices.** \"Send Acme a payment link for $12,500.\" Blaze creates the link, sends it, and updates you when it's paid. Draft a real invoice the same way, from a one-line request. If a client drags their feet, it follows up automatically.\n* **Forecast cash.** Connects to your bank through Plaid, finds the recurring patterns, and projects your balance so you know your runway.\n* **Handle the pre-accounting.** Categorizes transactions and matches them to the bills and invoices they belong to as they happen, so your actual accounting is easier when you get to it.\n* **Move stablecoins.** On and off-ramps USDC across 80+ currencies, with support for cards and various local payment methods around the world.\n* **Flag problems early.** Tells you about a low balance, an overdue invoice, or unusual spend before it becomes an issue.\n\nIt installs with one command:\n\n```\nnpx @blaze-money/cli\n```\n\nYou can use it anywhere you use AI agents. Our favorites are in Hermes on Telegram and on the dashboard at dashboard.blaze.money. There's a REST API and SDK if you want to connect it to your own systems.\n\n![uploaded image](/media/?type=post&id=108616&key=user_uploads/85958/492a039d-5aeb-4cab-bc85-33fe8f82f1c0)\n\n## 🙏 Ask\n\nIf you are, or you know, any of the following, we'd love to hear from you.\n\n**Founders running lean**\n\nYou're doing your own bills, invoicing, and cash flow because a real finance team costs $10,000 to $20,000 a month. Try it and tell us what breaks: **npx @blaze-money/cli** or .\n\n**Early customers**\n\nWe're onboarding our first businesses now, and want people who'll help us decide what the agent should handle next. Especially focused on handyman and trades businesses (HVAC, repair, remodeling) and property managers, especially in the Airbnb space.\n\n**Anyone with an intro**\n\nTo founders and small teams who'd rather not open their bank again. You can reach us at [founders@blaze.money](mailto:founders@blaze.money).\n\n## 👥 Team\n\nFaiyam is a full-stack engineer who dropped out of med school to build startups instead. As a founding engineer at Luc's previous startup, he helped it scale to $1m in ARR. He manages finances for Blaze, and is personally relieved he no longer needs to stay up on Sunday nights to do so.\n\nLuc is a two-time founder. His first startup hit #1 on the App Store. Before that, he was a tech lead at Spotify and Artsy. Luc built Blaze's cross-border payment rails after living the problem firsthand, moving money in and out of Latin America.\n\nFun fact: Luc and Faiyam met after Faiyam \"coincidentally\" sat down next to him at a coffee shop in Williamsburg, New York, seven years ago. The rest is history (in the making).", "url": "https://www.ycombinator.com/launches/SFs-blaze-ai-cfo-for-businesses", "votes": 29, "created_at": "2026-07-31T17:08:14.398Z" }, { "id": 83613, "title": "Blaze - Global Venmo for cross border payments", "tagline": "Pay anyone, anywhere, seamlessly.", "body": "**TL;DR**: Blaze is building a global Venmo for cross-border payments. For example, if you're a Californian nomad living in Mexico City, you can use Blaze to pay rent to your local landlord. Or if you're an expat living in Colombia, you can use Blaze to pay your teacher for Spanish classes. Check [us out](https://blaze.money/app-download) on iOS and Android!\\\n\\\nA [quick intro](https://www.youtube.com/watch?v=50MMF87m3ZM) for you:\n\nA little over a year ago, we found ourselves traveling all over the world. Luc was spending time between Mexico, Colombia, and other parts of South America, while Faiyam was nomad-ing around Asia. Everywhere we went, it was a pain to transact with our new friends from other countries. We found ourselves wanting a Venmo like experience that worked for our international lives.\n\nSo we decided to build it. Blaze is the payments app we wanted for our own lives, and if you have a lot of international contacts, perhaps it is for you too.\n\n![uploaded image](/media/?type=post&id=83613&key=user_uploads/1447220/01f1684f-81c7-44be-8d51-3ae79733e27c)\n\n_from left to right:_\n\n💻 [Luc](https://www.linkedin.com/in/lucsucces) studied engineering at NYU before going on to start 2 VC-backed startups, one of which went to #1 on the app store and got him sued by Drake (true story). He’s also been a tech lead at Spotify and Artsy, and has lived and worked in over 50 countries worldwide.\n\n🧘‍♂️ [Faiyam](https://linkedin.com/in/faiyam-rahman) studied mathematics at Duke, then engineering at Cornell before going on to build a $1M ARR business with Luc at his 2nd startup. He’s also an avid practitioner of yoga and meditation.\n\n🧑‍🎨 [Igor](https://linkedin.com/in/zagnienski) is a former lead designer at BitPanda, Austria’s first unicorn. Prior to that, he spent his time jumping out of planes and running Space Individuals, one of Europe’s leading platforms to find jobs in Space.\n\n# 📱 **App Preview**\n\n![uploaded image](/media/?type=post&id=83613&key=user_uploads/1447220/71549726-5f93-469a-bf32-6f2ec6d5c94d)\n\n# **🙏 Asks**\n\n* Help us beta test! [Download](https://blaze.money/app-download) on iOS and Android. You can share feedback at [founders@blaze.money](mailto:founders@blaze.money).\n* **Share this post!** If you know someone with an international lifestyle who would want to use Blaze, please share this post with them.\n* **Connect us with** **businesses** in travel, hospitality, or other spaces that could use help with cross-border payments.", "url": "https://www.ycombinator.com/launches/Lkb-blaze-global-venmo-for-cross-border-payments", "votes": 34, "created_at": "2024-08-30T04:16:43.486Z" } ] }, { "id": 29983, "name": "PathPilot", "slug": "pathpilot", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e75c7444d35c6b426ac80829e6ed40b07d33577d.png", "website": "https://www.getpathpilot.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Today, onboarding, servicing, and collections still depend on large human teams — which means operations scale linearly with loan volume. PathPilot deploys specialized AI agents that handle 60–80% of high-volume operational workflows, turning human-heavy processes into scalable software. These agents operate alongside internal teams — embedded directly into existing systems. This allows lenders to grow loan volume and revenue without proportional headcount growth. ", "one_liner": "AI Agents for Lending Operations", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1724891975, "tags": [ "Finance", "B2B", "Lending", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "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/pathpilot", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/pathpilot.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getpathpilot", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e75c7444d35c6b426ac80829e6ed40b07d33577d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 254075, "full_name": "Victor Laguna", "title": "Founder/CTO", "founder_bio": "Founder of PathPilot. Engineer with vast experience growing software products.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vlaguna/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/10fb6a951e54fa676974095d66e07580fc2e7b57.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 105486, "title": "PathPilot - AI Platform for Lenders", "tagline": "AI agents that help lenders grow without scaling operational headcount.", "body": "Today, we’re launching PathPilot Agents for Lending: specialized AI agents that help consumer lenders automate origination, servicing, collections, and quality on their operations.\n\n## The problem\n\nConsumer lenders need to grow, but lending operations are still expensive, manual, and dependent on large internal teams and external vendors.\n\nBorrowers are often asked to submit the same information multiple times, wait for manual reviews, and navigate disconnected processes across origination, servicing, and collections.\n\nFor lenders, this means higher operating costs, slower decisions, inconsistent customer experiences, and difficulty scaling without adding more headcount.\n\nCurrent AI solutions are not enough. Without specialization, guardrails, and the right operational context, agent quality breaks down—especially in regulated, customer-facing workflows.\n\n## What we built\n\nPathPilot builds specialized AI agents for lending operations, powered by a proprietary harness that connects AI models directly to each lender’s workflows, systems, policies, and data.\n\nIt starts with the **Origination Agent**, which guides borrowers through WhatsApp or web forms, collects the right information, pre-verifies documents, and connects with underwriting, identity, and fraud systems to support faster decisions.\n\nOnce the loan is active, the **Servicing Agent** helps customers with payments, balances, questions, and account updates across voice, WhatsApp, chat, and email.\n\nWhen a payment is missed, the **Collections Agent** follows up compliantly, keeps full conversation and account context, connects with call center and CRM systems, and negotiates next steps to drive resolution.\n\nBehind every workflow, the **Audit and Quality Agent** reviews every interaction and action, identifies quality or compliance risks, and provides actionable feedback that helps both human teams and AI agents improve continuously.\n\n\n\n## One agent or a coordinated workforce\n\nLenders can start with a single agent for one workflow or deploy a coordinated workforce of agents that work together and share context.\n\nFor example, the Origination Agent can pass a customer’s application history to the Servicing Agent. If the account later becomes delinquent, the Collections Agent can use the same operational context rather than starting the relationship from zero.\n\nThe Audit and Quality Agent works across the entire system, creating a continuous feedback loop that improves accuracy, customer experience, and compliance.\n\nBecause PathPilot is built on a modular framework, internal AI and engineering teams can extend, customize, and ultimately own the system as their capabilities grow.\n\nWe do not want lenders to become permanently dependent on another black-box vendor. We want to give them a reliable foundation for building and operating their own AI workforce.\n\n## Why we built this\n\nThe problem became personal when I tried to finance my first car after moving to the U.S.\n\nI had no local credit history and very little understanding of how the process worked. I went through a long and frustrating process in which multiple lenders manually reviewed my application, repeatedly requested information, and ultimately offered me a loan with very high fees.\n\nToday, as a real estate investor, I still experience many of the same problems when applying for a mortgage or refinancing a property. The process remains slow, repetitive, and difficult to navigate—even when you understand how lending works.\n\nThere needs to be a better way.\n\nBefore PathPilot, David and I spent years building and operating AI first products at Meta. We learned that making AI work reliably in production requires much more than choosing a model. It requires integrations, evaluations, guardrails, feedback loops, and deep operational context.\n\nWe started PathPilot to bring that infrastructure to lending—so lenders can operate more efficiently and borrowers can receive a faster, clearer, and more responsive experience.\n\n## Where we are today\n\nPathPilot agents are already supporting fintech lenders, BNPLs, embedded lending platforms, and collections organizations across the U.S. and Latin America.\n\nOur customers use PathPilot for workflows including conversational origination, document validation, servicing, collections, and quality assurance.\n\n## Our ask\n\nWe would love to speak with:\n\n* Consumer lenders, BNPLs, neobanks, and embedded lending companies\n* Operations, servicing, collections, risk, and compliance leaders\n* Lending platforms interested in offering specialized AI agents to their customers\n* Internal AI teams looking for a framework they can customize and eventually own\n\nBook a demo at [getpathpilot.com](http://getpathpilot.com).", "url": "https://www.ycombinator.com/launches/RRO-pathpilot-ai-platform-for-lenders", "votes": 10, "created_at": "2026-07-13T16:26:42.554Z" }, { "id": 83625, "title": "PathPilot: The AI model that understands session replay data", "tagline": "Use our API to make your session replays useful", "body": "At [PathPilot](https://www.getpathpilot.com/), we are building an AI model (called UXOB) that accurately captures how users interact with software products. We are now making UXOB available via API to a select group of early partners. Email [founders@getpathpilot.com](https://mailto:founders@getpathpilot.com) or [schedule a call](https://calendly.com/vlad-getpathpilot/30min) if you are interested in learning more. \n\n![uploaded image](/media/?type=post&id=83625&key=user_uploads/707937/0f538406-78a1-4406-a6bd-02bb499271ab)\n\n### What is it?\n\nUXOB is an AI model that ingests session replay files and generates user session data like narratives, summaries, tags, and alerts. \n\n![uploaded image](/media/?type=post&id=83625&key=user_uploads/707937/08220806-5300-45a6-b804-ef709e81b744)\n\n### Why are we building UXOB?\n\nMost session replays end up unused, despite containing invaluable information about user experiences. UXOB helps companies unlock the hidden potential of their user experience data to power new features and automation. \n\n### Who did we build UXOB for?\n\nUXOB is built for companies that offer session replays as part of their platform. Our API is designed to be compatible with rrweb-based providers, and we are expanding to other formats. We also support companies with an existing session replay provider that want to build custom automations or features based on their user journeys. \n\n### How do you get started?\n\nWe’re opening up UXOB to a select group of early partners. If you’re interested in incorporating AI-driven session replay observation into your product offering or internal workflows, get in touch with us at [founders@getpathpilot.com](mailto:founders@getpathpilot.com) or [book a time](https://calendly.com/vlad-getpathpilot/30min). \\\nThank you!\n\nVlad and Victor", "url": "https://www.ycombinator.com/launches/Lkn-pathpilot-the-ai-model-that-understands-session-replay-data", "votes": 58, "created_at": "2024-08-30T19:19:31.594Z" } ] }, { "id": 30014, "name": "fixa", "slug": "fixa", "former_names": [ "pixa", "Apex", "pixa", "fixa", "verso", "Verso", "Clarus" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd9d8fdd660acfd5b49d596c3ebc27e9317844b4.png", "website": "https://www.fixa.dev", "all_locations": "New York City, NY, USA", "long_description": "", "one_liner": "Fix your voice agents faster", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1731468857, "tags": [ "Finance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/fixa", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/fixa.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "", "x_url": "https://x.com/VersoTrading", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd9d8fdd660acfd5b49d596c3ebc27e9317844b4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 667562, "full_name": "Oliver Wendell-Braly", "title": "Founder/CEO", "founder_bio": "building", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oliverbraly/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f5fe3452a288d6dc38bd8a7affea15c3207f16ab.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85567, "title": "fixa - fix AI voice agents faster", "tagline": "we find bugs in your voice agents so you don't have to 🐛 🔫", "body": "👋 hey everyone - we’re oliver and jonathan from [fixa.dev](http://fixa.dev) \n\n# **tl;dr**\n\nwe find bugs in your voice agents - (including hallucinations, interruptions, transcription errors, and sentiment errors), so you don’t have to manually call your agents or listen to conversation recordings ever again. watch our launch video [here](https://www.youtube.com/watch?v=Cnhf3Vs5Dcw)\n\n# **❌ the problem**\n\nfinding bugs in voice agents is a giant hassle\n\ntraditionally, voice AI developers\n\n* hire teams of offshore 🌊 reviewers to read transcripts and listen in on calls\n* often don’t find bugs until a customer complains 😡\n* require the entire eng team to take 30 minutes out of their workday to call their agent prior to pushing changes 😪\n\n# **✅ the solution**\n\nfixa finds bugs automatically in tests and production, providing developers with precise and actionable insights when things go south. \n\nwe pinpoint\n\n* LLM hallucinations 🤯\n* interruptions 🗣️\n* transcription errors 📝\n* sentiment errors (i.e. rude agent) 🤬\n\nand propose changes to your prompt(s) accordingly.\n\nwe spent the past year developing voice agents at [play.ai](http://play.ai) where we experienced the pain of manual bug hunting firsthand and we’re building the solution we wish we had. If you’re building in voice AI - we’d love to hear from you! \n\nthanks ✌️\n\n![uploaded image](/media/?type=post&id=85567&key=user_uploads/667562/5ce44bcf-c8c3-4979-b1ff-7c21db974f74)\n\n", "url": "https://www.ycombinator.com/launches/MG7-fixa-fix-ai-voice-agents-faster", "votes": 31, "created_at": "2024-11-14T16:10:42.630Z" } ] }, { "id": 30051, "name": "attimet", "slug": "attimet", "former_names": [ "AgentPay", "protegee", "Protegee" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/43b9a65188d543037d433040e225613f5f256524.png", "website": "https://attimet.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Step 1: Build the Prime Radiant\r\nStep 2: Apply it to Financial Markets\r\nStep 3: Manage the world's assets", "one_liner": "Building the Prime Radiant", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1728431199, "tags": [ "Finance", "Trading", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/attimet", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/attimet.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/attimet/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/43b9a65188d543037d433040e225613f5f256524.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1648424, "full_name": "Kirthi Banothu", "title": "Founder/CEO", "founder_bio": "Got into building things back in 2006 with a website for Dragon Ball Z content. Ex-HFT (Optiver + DRW), built low-latency trading systems a few too many times - developed strategies for futures, cryptos, equities, and options. Had a stint in self-driving leading the onboard sensor and ml libraries team at Argo AI. Skipped half as many grades as my cofounder.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kirthibanothu", "x_url": "https://x.com/kirthibanothu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d5d9285c639eaaadb3f91321289214d55f9779f8.jpg" }, { "user_id": 1614791, "full_name": "Xiaoyu Li", "title": "Founder/CIO", "founder_bio": "Ex-quant trader at Optiver specializing in index + equity options market-making. Started and grew a medium-frequency algorithmic trading team. Yale Medical School dropout. Skipped twice as my grades as my cofounder.", "is_active": true, "linkedin_url": "https://linkedin.com/in/xiaoyuli240", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/612b41a6bba570b23eeefbac5b350b418d13ba84.jpg" } ], "jobs": [ { "id": 106868, "title": "Member of Technical Staff | Engineering & Research", "url": "https://www.ycombinator.com/companies/attimet/jobs/6btZFDg-member-of-technical-staff-engineering-research", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$125K - $250K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30056, "name": "Keye", "slug": "keye", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90506160477f970492b1093950c729f17eeb2192.png", "website": "https://www.keye.co", "all_locations": "New York City, NY, USA", "long_description": "\r\nKeye is an AI software that lets private equity firms do due diligence for acquisitions faster and more accurately. Our customers can evaluate 10x more deals and fund better companies which leads directly to better returns/more alpha.\r\n--\r\n\r\nOur system is the first of its kind to instantly generate complex, comprehensive data packs from raw data in any format, directly from the data room. This enables investors to gain an 80% understanding of a potential deal within moments, empowering them to say No to a deal earlier in the process and focus on high-potential opportunities. Traditionally, creating these detailed data packs—like cohort or retention analyses and customer roll-forwards—takes weeks, during which critical details may be overlooked, potentially costing funds millions in missed insights and poor decisions.\r\n--\r\n\r\nKeye combines cutting-edge AI with deep private equity expertise to deliver powerful, multi-layered insights that go far beyond the simple summarizers and search functions offered by other tools. Our platform dives deep into both quantitative and qualitative due diligence data, offering high-impact analytics crafted specifically for private equity workflows. This isn’t just automation—it’s a purpose-built solution that uncovers actionable insights, fueling smarter decisions and driving true alpha.\r\n\r\n", "one_liner": "The Smartest Private Equity Investor", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1731519331, "tags": [ "Finance", "Investing", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/keye", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/keye.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/keye", "x_url": "https://x.com/keye_co", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/keye", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/90506160477f970492b1093950c729f17eeb2192.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ced016780eb5803c13677820a3078d525c69942e.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 751995, "full_name": "Rohan Parikh", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at Keye, Rohan has over 6+ yrs in investment banking, spanning front-office roles across IB and Global Markets. Within 5 years, he was promoted to Director, where he drove a 7x increase in deal flow and revenue. Previously, he worked as a management consultant with Accenture before transitioning to Standard & Poor’s credit division in finance. Rohan holds an MBA from Wharton, complemented by a technical background with a Master's in Financial Engg. & B.Eng degree", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/parikhrohan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53ce18fd6f09dfb172814725d53cdc8853ce2627.jpg" }, { "user_id": 1375999, "full_name": "Conor Brown", "title": "Founder", "founder_bio": "Conor is a Co-Founder and the Chief Operating Officer of Keye. Before co-founding Keye, Conor co-founded SecureFlow, a funds flow and deal insights platform for M&A, while earning an MBA from The Wharton School. He has also held key roles as an investor at Vista Equity Partners and an investment banker at Goldman Sachs. He attended Amherst College for his BA, where he also captained the hockey team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/conor-brown-9a02849b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1800dcd48cec9f3d213e65648dc84d92af4d06e5.jpg" }, { "user_id": 1604741, "full_name": "Lalit Lal", "title": "Founder/CTO", "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).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lalitlal", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fb691eb08480ccb79da6be8c993e6a4427229f70.jpg" } ], "jobs": [ { "id": 78376, "title": "Founding Private Equity Strategist ", "url": "https://www.ycombinator.com/companies/keye/jobs/OFbSYE1-founding-private-equity-strategist", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $250K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 86166, "title": "Software Engineer (Remote)", "url": "https://www.ycombinator.com/companies/keye/jobs/lXS5Goj-software-engineer-remote", "location": "New York, NY, US / Remote (US; CA; MX; BR)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $200K", "equity_range": "0.10% - 0.75%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "We Built the Diligence Platform We Wish We Had | Jul 29, 2025", "url": "https://www.keye.co/post/keye-we-built-the-diligence-platform-we-wish-we-had", "date": "Jul 30, 2025" } ], "launches": [ { "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: \\\n[💼](https://keye.co%EF%BF%BC%F0%9F%92%BC) LinkedIn: \\\n[✍️](https://www.linkedin.com/company/keye%EF%BF%BC%E2%9C%8D%EF%B8%8F) Capital AI blog: \\\n[🐦](https://www.keye.co/blog%EF%BF%BC%F0%9F%90%A6) X: ", "url": "https://www.ycombinator.com/launches/MHP-keye-the-smartest-private-equity-analyst", "votes": 207, "created_at": "2024-11-18T16:45:28.631Z" } ] }, { "id": 30253, "name": "Finbar", "slug": "finbar", "former_names": [ "finbar" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/79a24ae2dbf8c5f1b06b70c124868d6c9383b535.png", "website": "https://finbar.com", "all_locations": "London, England, United Kingdom", "long_description": "Finbar is high-quality financial data and intelligence, used by several of the world's largest hedge funds. It automates financial modelling, research, and data analysis so multi-million-dollar decisions can be made 100x faster.\r\n\r\nFinbar maintains its own dataset of worldwide company filings, presentations, transcripts, and more, delivering clean data from these fundamental sources within minutes of release. This data is available via web, Excel add-in, API, and MCP. \r\n\r\nOur services include: company primers and prebuilt models; AI tools for analysts to create their own research; Excel tools to build financial models in minutes and update them in seconds; API streams to integrate our worldwide data into any programmatic or agentic system.", "one_liner": "Financial intelligence for every investor", "team_size": 4, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1736618357, "tags": [ "Documents", "Fintech", "Finance", "Workflow Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Edward & Robin have been friends for more than half their lives: King’s Scholars at Eton, undergrads at Oxford, roommates in London. Edward founded **finbar** in 2023 as a solution to the time-consuming ‘grunt’ work of his former hedge fund role, and wrote most of the MVP up to first revenue. Robin joined in 2024 to take the lead on software dev as CTO." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "A huge amount of the financial industry still runs on manual data input: thousands of workers whose job is simply to copy data from documents, build historical time series, and update models by hand. We leverage cutting-edge tech to finally automate this process, delivering more data, faster, and with much lower cost overhead." } ], "url": "https://www.ycombinator.com/companies/finbar", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/finbar.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://linkedin.com/company/fin-bar", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/79a24ae2dbf8c5f1b06b70c124868d6c9383b535.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2312013, "full_name": "Edward Huang", "title": "Founder/CEO", "founder_bio": "Founder and CEO at finbar. I wrote most of the MVP but now focus product and sales.\nPreviously I was a hedge fund analyst, and before that at Goldman Sachs. CFA charterholder. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edward-huang-cfa-8807b4149/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/399ff5e879c7c3d086da13fd0c42dc562c78e7ae.jpg" }, { "user_id": 2375293, "full_name": "Robin Gan", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at finbar.com.\n\nPrevious to this I worked on a globally deployed cloud-native banking platform at Thought Machine.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robin-gan-180060126", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/256b9b1bb75fa062939d144d53615bd17eec89c2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 117886, "title": "Finbar: Financial intelligence for every investor", "tagline": "Financial data and AI tools trusted by the world's largest hedge funds", "body": "**Finbar is financial data and intelligence for the AI age.**\n\nWe’re super excited to announce our first public launch. Give us a go if you’re interested in: worldwide company fundamental data (incl. via API/MCP), AI tools for data analysis and investment research, prebuilt models, an Excel add-in for building + updating custom models, and more.\n\n**Get started at [https://finbar.com](https://finbar.com).** Read on if you're interested in how we're differentiated, and why some of the biggest investors in the world rely on us for their research processes.\n\n\n\n**---**\n\nHi! Ed and Robin here, here to announce the first general availability of Finbar. **Our mission is to give every investor (and agent) the best data and tools to conduct high-quality financial research.**\n\n_A brief recap of our journey_. We started with a single product - **reliably updating any financial model within 5 minutes of market release, without any mistakes**. Seems niche? It was - but it meant we could truly stand out to customers, solving a real burning problem that those who haven't worked in hedge funds just don't really 'get'. Over Q2 earnings season, we handled 150,000 model updates, meaning our clients (including several of the world's largest hedge funds) could go into every market-open with all of their models ready.\n\nDeveloping this product turned out to be a problem that seemed simple but actually was fiendishly difficult (not least for the data reasons discussed below). Doing so, however, has meant building some truly unique financial data and infrastructure, which we've since deployed in many other products - and now available to all investors.\n\nTwo key parts to what we do:\n\n**I. We're building the best fundamental financial dataset**\n\nUnderlying everything is our proprietary data. **We collect and ingest millions of documents across thousands of companies worldwide**: reports, presentations, transcripts. You might be surprised this is not a solved problem already. But almost all providers lack at least one of: a) breadth, b) quality, and/or c) speed. All three have been necessary to serve our clients, hence the need to build our own. And yes, we're including players like Factset, S&P and Bloomberg in this (we're often explicitly evaluated against them by our institutional clients).  \n\nSome snippets to illustrate the point:\n\n    1) _The most important fundamental datapoints are often not in 10Qs/10Ks, and rarely in a fully-structured format._ Think segment organic growth in presentation charts, conference call remarks on forward guidance, Pillar 3 banking disclosures, and a million other company-specific datapoints.\n\n    2) _>1/2 of our customers invest outside of the US._ International markets have much less structured data availability than the US, often not even a central repository, and it is where arguably there is more edge from strong fundamental data (these two facts may well be corollary)\n\n    3) _Financial data is exceptionally messy on the tail end_ - which is often also where the insights live. Understanding nuances around restatements, accounting regime changes, mergers and divestments, and all the other insane things companies do to produce messy data (sometimes on purpose) is bread-and-butter in our design. It causes many nights of hair-pulling but is the only way to actually produce great data that investors trust.\n\n**II. We're building the best financial toolkit for the AI age**\n\nUpon this data foundation is a whole range of Finbar products, built on the knowledge and experience of what professional investors actually need. This includes:\n\n* Machine-readable versions of millions of worldwide company documents\n* Fundamental time-series and datapoints on thousands of line items\n* Company primers and financial metadata\n* Prebuilt public company model XLSXs\n* A web platform for AI-automated financial data analysis, modelling, and report-writing\n* An Excel add-in to update any analyst model in seconds, and build any custom model in minutes\n* MCP and APIs to expose our fundamental data to programmatic and agentic users\n\nAnd we already have a long list of items in development with institutional partners, including macro data, supply chains, newsflow, privates and more.\n\n\\---\n\nThere’s still so much more we’ve got planned, but we’re genuinely so excited to start giving every investor the tools they need to make intelligent decisions in the AI age. So thanks for reading, and **head to [https://finbar.com](https://finbar.com) to try us out**. We’re looking forward to your thoughts!", "url": "https://www.ycombinator.com/launches/UfO-finbar-financial-intelligence-for-every-investor", "votes": 3, "created_at": "2026-10-01T14:29:23.427Z" }, { "id": 87042, "title": "finbar: your AI financial data analyst", "tagline": "Eliminate manual data entry. Update financial models in seconds.", "body": "Hi! We’re Ed and Robin, the founders of [finbar](https://finbar.com/).\n\n**Our summary**: **too many analysts across finance still rely on manually collecting and compiling data for their models - we’re here to completely automate that process.** \n\nSeveral multi-billion AUM hedge funds already use us for exactly that - but if you work with financial data in any capacity, we want to help!\n\n# finbar\n\n1. Automatically extracts and compiles data from thousands of companies globally, public and private\n2. Gives analysts tools to easily explore and reshape data for their own use cases\n3. Provides powerful automation to update models with new data in seconds\n\n**If you’ve ever spent hours copying data from a bunch of PDFs into a spreadsheet, you understand the core problem we solve!**\n\n![uploaded image](/media/?type=post&id=87042&key=user_uploads/2312013/e56da6c5-76fa-44d5-b30b-94aaedec850c)\n\n**Why can we do this better than others?** Financial data is inherently very messy – we’ve spent more than a year building a highly bespoke pipeline geared for financial data: numeric algorithms, text processing, OCR, LLMs, and more. This means in minutes we can provide complete series data from any set of documents: PDFs, Excels, websites, scans, etc.\n\nWe also understand the financial domain intimately well – our starting point has always been to build something that would have saved us hours per day as hedge fund analysts.\n\n![uploaded image](/media/?type=post&id=87042&key=user_uploads/2312013/d80aa23d-1e53-448f-8f0b-f6c2b7d47171)\n\n**Want to learn more?** [**Watch a full demo here!**](https://www.youtube.com/watch?v=DGh_3TDVb4M)\n\n**If you spend time working with financial data in any field, we believe we can save you valuable time.** We’re live with several multi-billion AUM hedge funds but are also very interested in speaking to anyone in banking, research, PE, VC, accounting, or corporate. We’d love to help you!\n\n**Head to **[**https://finbar.com/about**](https://finbar.com/about)** to request a trial – or reach out directly to **[**ehuang@finbar.com**](mailto:ehuang@finbar.com)**!**\n\n# About us\n\n**Ed** was a hedge fund analyst at Balyasny, and before that was at Goldman Sachs. He solo-founded finbar up to first revenue and now leads product and commerce. He is a CFA charterholder.\n\n**Robin** was a software engineer at Thought Machine, working on a globally deployed cloud-native banking platform. He now leads the finbar tech effort.\n\nWe’ve been close friends for 13 years, through school, then Oxford, then as roommates in London – and of course now as co-founders!\n\n![uploaded image](/media/?type=post&id=87042&key=user_uploads/2312013/e2bf30db-5b91-4870-99c5-7725c2baee31)\n\n Thanks for reading - happy modeling!", "url": "https://www.ycombinator.com/launches/Mdu-finbar-your-ai-financial-data-analyst", "votes": 33, "created_at": "2025-01-22T15:11:23.913Z" } ] }, { "id": 30274, "name": "Trata", "slug": "trata", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/508cd0aa179903aea336ffc42458a82d33d548ac.png", "website": "https://www.trytrata.com/", "all_locations": "New York City, NY, USA", "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.", "one_liner": "AI-powered research desk for hedge funds", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1738274242, "tags": [ "Finance", "B2B", "Community", "Investing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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/trata", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/trata.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trata-inc/", "x_url": "https://x.com/trytrata", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/508cd0aa179903aea336ffc42458a82d33d548ac.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1739520, "full_name": "Eric Cho", "title": "Founder/CEO", "founder_bio": "Co-Founder/CEO at Trata (W2025). 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", "is_active": true, "linkedin_url": "https://linkedin.com/in/emc329", "x_url": "https://x.com/_ericcho", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c7672c5c8a278175b28daf292d82025e1a802d29.jpg" } ], "jobs": [ { "id": 93284, "title": "Business Operations Intern", "url": "https://www.ycombinator.com/companies/trata/jobs/72esYnV-business-operations-intern", "location": "New York, NY, US / Remote (US)", "type": "Internship", "role": "Operations", "role_type": null, "salary_range": "$15 - $30 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 94620, "title": "Research Scientist Intern", "url": "https://www.ycombinator.com/companies/trata/jobs/2SPS2Ou-research-scientist-intern", "location": "San Francisco, CA, US / New York, NY, US", "type": "Internship", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$10K - $17K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 110020, "title": "Marketplace Operations Manager", "url": "https://www.ycombinator.com/companies/trata/jobs/uR1gMzW-marketplace-operations-manager", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$120K - $150K", "equity_range": "0.20% - 0.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Everyone Wants Debt, Not Equity - Bloomberg", "url": "https://www.bloomberg.com/opinion/articles/2025-03-19/everyone-wants-debt-not-equity", "date": "Mar 18, 2025" } ], "launches": [ { "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\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" } ] }, { "id": 30292, "name": "Mesh", "slug": "mesh-2", "former_names": [ "Cart", "Mesh", "mesh" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/23ccdc4419907ee05321c76c632bbd5270cb8764.png", "website": "http://www.usemesh.com", "all_locations": "San Francisco, CA, USA", "long_description": "Month-end shouldn’t be a race against the clock.\r\n\r\nFor most mid-to-enterprise finance teams, accruals are a manual bottleneck. Chasing missing invoices and manually updating spreadsheets can eat up 4+ days of every month-end close.\r\n\r\nMesh changes the timeline. We automate 90% of the accruals process by capturing real-time usage and service signals directly from your AP inbox, Slack, Teams, and historical journals. We turn fragmented data into audit-ready outputs, so you can stop guessing and start closing.\r\n\r\nSee how top teams are accelerating their close by 4+ days at www.usemesh.com", "one_liner": "Eliminating accrual spreadsheets for faster month-end", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1736927502, "tags": [ "FinOps", "Fintech", "Finance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mesh-2", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/mesh-2.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/usemesh", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/23ccdc4419907ee05321c76c632bbd5270cb8764.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/70/1741806360-201e4855910360bc04b8d0262c9e0af3/5dc54f97bcf2d7e01d50fccb72ab2d7b.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022726Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=56312b35d70c145c23c9d67a814ecd8b5287094489b6c225bc92c5a1185fd1a3", "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1492732, "full_name": "Erin Kim", "title": "Founder/CEO", "founder_bio": "Co-Founder and CEO at Mesh. 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She led a team of 4 engineers as an engineering manager. Prior to that, she co-authored a Machine Learning patent at eBay. \n\nShe holds bachelor’s and master’s degrees in electrical and computer engineering from Carnegie Mellon. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nandiniramakrishnan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/778a01ae648a6798ab10925b89bb8eec0ab48323.jpg" } ], "jobs": [ { "id": 100952, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/mesh-2/jobs/TKKfvmn-founding-engineer", "location": "San Francisco, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 102149, "title": "Founding GTM Lead", "url": "https://www.ycombinator.com/companies/mesh-2/jobs/9tFjJOE-founding-gtm-lead", "location": "San Francisco, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30340, "name": "TamLabs", "slug": "tamlabs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/34b8a98c2f9db316565bd733e8ce6e18bca1bb3b.png", "website": "https://tamlabs.ai", "all_locations": "San Francisco, CA, USA", "long_description": "TamLabs agent teams deliver professional work products with speed and precision.", "one_liner": "Agent teams for complex work", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1740176772, "tags": [ "Finance", "Workflow Automation", "Legal", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Productivity" ], "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/tamlabs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/tamlabs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tamlabs", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/34b8a98c2f9db316565bd733e8ce6e18bca1bb3b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2271465, "full_name": "Joshua Doolan", "title": "Founder/CEO", "founder_bio": "Founder & CEO at TamLabs (W25). Previously, Blackstone Data Science, deployed AI solutions across PE portfolio and led data science diligence for PE. Harvard AB/SM in Computer Science, focus in AI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joshua-doolan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e1bc8f61814e07251588f88fb46036f2d8aae3f.jpg" }, { "user_id": 2271471, "full_name": "Ben Doolan", "title": "Founder/COO", "founder_bio": "COO & Co-Founder at TamLabs. Worked across private equity, consulting and policy. Studied physics and classics at Georgetown. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ben-doolan-66aa64204/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1c5af637d92d41111507e191aa357615682cd624.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30413, "name": "Serafis", "slug": "serafis", "former_names": [ "MetaSpark" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/67a815e7868c4a6d85c8b5fdb3324a29a6600f72.png", "website": "https://serafis.ai", "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, "tags": [ "SaaS", "Finance", "Investing", "Search", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "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/serafis", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/serafis.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/serafis/", "x_url": "https://x.com/serafis_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/67a815e7868c4a6d85c8b5fdb3324a29a6600f72.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 288934, "full_name": "Rohan Sharma", "title": "Founder/CEO", "founder_bio": "Rohan is the Founder and CEO of Serafis. He was formerly the Head of Data at Ribbit Capital ($12B AUM). Prior to that, he was a Software Engineer at Google, then bootstrapped and exited Kosmos — a data integrations SaaS for wealth managers. He studied Computer Science at Princeton University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/r9a", "x_url": "https://x.com/r9a_co", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f49768f138c77dda85aaebb2a33a7aff6e10dbc3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102769, "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": 30453, "name": "Parsewise", "slug": "parsewise", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f1c0c72a7f623d3b80ce3fbde35d6d196e31e5c.png", "website": "https://parsewise.ai", "all_locations": "London, England, United Kingdom", "long_description": "Parsewise provides multi-document processing and analysis that you can embed in your own product.\r\n\r\nOperations teams use our platform for oversight and control over their fleet of AI agents, and our MCP to make Claude work at scale with traceability.\r\nTech teams use our API to replace complex processing pipelines resolving values across documents.\r\n\r\nWe help customers assess complex risk at scale: manage casualty, specialty, KYC, and financial risks, so teams can act faster and defend their decisions with confidence.", "one_liner": "Multi-document processing for your risk teams, AI agents, pipelines", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1745096268, "tags": [ "Documents", "Finance", "API", "Insurance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "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/parsewise", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/parsewise.json", "year_founded": 2024, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/parsewise", "x_url": "https://x.com/parsewise", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/parsewise", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f1c0c72a7f623d3b80ce3fbde35d6d196e31e5c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ce5c8bcf5ae259dd9fc9ee95f9b1aad22f751e20.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/008597abe694b4661688d888a0b0b50e2a0fb91a.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1723779, "full_name": "Max Hofer", "title": "Founder/CEO", "founder_bio": "On a mission to end data monkey work. \nFormer Bain consultant with deep expertise in enterprise data workflows and a PhD in applied ML.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mwhofer/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9b31762b1842413440fc93f48220dba18019a750.jpg" }, { "user_id": 1910315, "full_name": "Greg Csegzi", "title": "Founder/CTO", "founder_bio": "Bridging reliability for AI driven extractions.\nEx-Palantir, experience in life sciences, insurance, manufacturing", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gergely-csegzi-553b1aa5", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/549bea3c58990168865b1ba6d92a2e2869e8a673.jpg" } ], "jobs": [ { "id": 79985, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/parsewise/jobs/rgv8l5D-founding-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£80K - £100K GBP", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 95780, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/parsewise/jobs/F27C7eN-forward-deployed-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£80K - £100K GBP", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Amazon Web Services (AWS)", "Python", "React", "Terraform", "AI Agents" ] } ], "news": [], "launches": [ { "id": 101959, "title": "Parsewise - API for agentic multi-document processing", "tagline": "Give your apps full value provenance for reasoning across documents!", "body": "Hello from Greg, Max and the Parsewise team! 👋\n\n# **TL;DR**\n\n[Parsewise](https://www.parsewise.ai/api?utm_source=launchyc&utm_medium=referral&utm_campaign=api_launch) turns multiple documents into a single structured response. Cross-document entity linking, contradiction detection, bounding boxes and UI toolkit to show it all included.\n\n[See it live!](https://www.youtube.com/watch?v=F1cSuZal03s)\n\n**The Problem**\n\nToday, you have to build and maintain complex document processing pipelines with changing business rules. You parse, classify, and rely on structured responses from LLMs or IDP tools (e.g., Reducto) to get individual extraction results that you piece together with other bits of information. There’s no reliable way to catch when information contradicts itself, which is risky. Finally, you build a custom verification UI for your operations team to deal with LLM mistakes.\n\n**The Solution**\n\nWe provide an API to abstract all that away into a single call. You provide multiple documents and the desired output to get back a response with resolved values, flagged contradictions, and full traceability across documents / pages that you can display in your own app.\n\n![uploaded image](/media/?type=post&id=101959&key=user_uploads/1910315/a837442e-b7af-4113-acfd-699fc5074dff)\n\n**Get Started**\n\n=======================================================\n\n  Sign up with free credits: [https://www.parsewise.ai/get-started](https://www.parsewise.ai/get-started?utm_source=launchyc&utm_medium=referral&utm_campaign=api_launch)\\\n  (use the [Agents.md](https://api.parsewise.ai/AGENTS.md) for a 1m integration)\n\n=======================================================\n\n**Story Time**\n\nWhy are we working on this, how we got to where we are, who we are working with, and where we are headed.\n\nGreg was at Palantir trying to make sense of various Japanese insurance documents and realizing that any processing pipeline built around it was highly custom, time-consuming, and brittle. Max was on the human operator side at Bain & Co, realizing that the technology was being held back due to a trust problem.\n\nWe realized that there is this powerful new capability for general reasoning (and thus processing). Models are getting extremely good at interpreting complex documents (shout-out to the Gemini model family) and perform better than most OCR-type solutions on the market.\n\nSo we set out to build the layer that comes on top:\\\n1\\. Provide mapping from user intent to a dynamic ontology\\\n2\\. Use the now-abundant intelligence to reason across documents to get to the right results\\\n3\\. Provide the provenance trace and validation UX that is required in many use cases\n\nWe are working with leading customers, both small and large, like UBS, Compre Group, Thinksurance, and more. They rely on Parsewise to streamline submission intake, claim portfolio risk assessment, etc., for both API based integrations and operational workflows.\n\nWith this launch, we are inviting developers to build more reliable and delightful workflows around their unstructured data processing. As we scale, we are excited to be helping with the end-to-end integration and deterministically filling forms, mapping to 3rd party APIs and web portals.\n\n\\\nSee more at [https://www.parsewise.ai/api](https://www.parsewise.ai/api?utm_source=launchyc&utm_medium=referral&utm_campaign=api_launch)\n\n![uploaded image](/media/?type=post&id=101959&key=user_uploads/1910315/97f9bee1-d6f5-42ee-ab1f-14f178b5b826)\n\n", "url": "https://www.ycombinator.com/launches/QWV-parsewise-api-for-agentic-multi-document-processing", "votes": 6, "created_at": "2026-05-26T14:44:21.064Z" }, { "id": 90400, "title": "Parsewise: Extract Validated Data from Complex Documents 🔬", "tagline": "Turn complex documents into validated information that business users can trust.", "body": "Hi everyone, we’re [Max](https://www.linkedin.com/in/mwhofer/) and [Greg](https://www.linkedin.com/in/gergely-csegzi/), and we’re building [Parsewise](https://parsewise.ai/) 👋\n\n👉🏻 Watch the video: https://youtu.be/ZFNH0M6Q3fw\n\n**❌ The Problem**\n\nBusiness experts waste hours each week on **manual, repetitive data tasks**. Extracting and validating information from complex documents is slow and error-prone. As a result, analytics, benchmarking, and reporting **processes are brittle and expensive**.\n\n**Current AI solutions** like ChatGPT are black boxes that generate **unreliable outputs**. Intelligent document processing tools require technical expertise, resulting in limited productivity gains.\n\n**The data monkey era is over!** We believe that business experts have struggled with complex documents long enough. We 10x their productivity while improving the quality of their outputs.\n\n**✅ The Parsewise Solution**\n\nParsewise extracts trusted information from complex documents, supported by these core features:\n\n* **End-to-end Traceability**: We trace every single output (text, number, date, etc.) to its exact source and highlight it with bounding boxes. _No more black boxes._\n* **Granular Human Control**: Business experts directly review and modify data extraction logic and consistency check strategies. _No more re-prompting._\n* **Exhaustive Processing**: Our agents exhaustively parse data, proactively flagging issues. _No more second-guessing._\n\n👉🏻 Parsewise is easy to use: https://youtu.be/69kEn5cYbvA\n\n**💬 What Our Users Are Saying**\n\n_“We have cut the analysis process from weeks to days, and most importantly, we have more confidence in the results than before.”_\n\n* Head of Family Office\n\n_“The processing took a while, but the results are perfect. We ran the same test with Snowflake’s Document AI, and it was frankly disappointing.”_\n\n* Lead Data Analyst at a Large Asset Manager\n\nWe have helped **cut week-long processes relying on parsing complex documents into hours**.\n\n**🤝 The Team**\n\nWe met studying CS at Oxford University in 2017.\n\n**Max (CEO)**: Ran his first business at 12, founded a data science consultancy next to his PhD, and conducted >20 PE due diligence projects at Bain. BSc, MSc, and PhD in CS and Econ.\n\n**Greg (CTO)**: Built the earliest production AI use cases at Palantir, with top project conversion, working in life sciences and insurance, having been deployed to 6 countries. Ask me about parsing manga-style insurance documents 😉\n\n**🚀 Call to Action: Free a Data Monkey**\n\nWe’re **live with pilot customers**, looking to **free more human data monkeys** of their lousy work!\n\nThe most relevant industries and teams are:\n\n* Industries: Investment management, reinsurance, life sciences\n* Teams: Risk & compliance, analytics, data & AI engineers\n\nContact us at [founders@parsewise.ai](mailto:founders@parsewise.ai) for more information and a demo.", "url": "https://www.ycombinator.com/launches/NW4-parsewise-extract-validated-data-from-complex-documents", "votes": 81, "created_at": "2025-05-14T17:25:55.072Z" } ] }, { "id": 30503, "name": "Vesence", "slug": "vesence", "former_names": [ "Verse Law", "Verse" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ae7f81743afec55a338f8ebe26d07f21e2696ebc.png", "website": "https://vesence.com", "all_locations": "San Francisco, CA, USA", "long_description": "Vesence is a computer built for agents doing 99% of the work. \r\n\r\nDevice-agnostic and model-agnostic, it brings your inbox, files, browser, and tools into one workspace. Run Claude Code and Codex, direct agents in parallel, and stay in control from any device.", "one_liner": "The Agent-Native Computer", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1747133222, "tags": [ "Finance", "B2B", "Legal", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "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/vesence", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/vesence.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vesence", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ae7f81743afec55a338f8ebe26d07f21e2696ebc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 2572575, "full_name": "Henrik Hansson", "title": "Founder/CEO", "founder_bio": "CEO and Co-founder of Vesence. Cursor for Lawyers.\n\nThree facts:\n- Studied at Sweden's top two universities in parallel. Physics and economics at 200 percent pace.\n- Amassed tens of millions of streams as a music producer. Still getting around $3K in royalties per month to this day.\n- Worked together with Anton, founder of Lovable, at Depict for 3 years.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/henrik-hansson-1571a8187/", "x_url": "https://x.com/HenrikTaro", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20ed0a8293ef29331ec3355131d4288b678456b6.jpg" }, { "user_id": 2486274, "full_name": "Ludvig Swanstrom", "title": "Founder", "founder_bio": "Co-Founder at Vesence. YC-Backed. Forbes 30u30. Former Pro-Basketball Player.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ludvig-swanstr%C3%B6m-73ab49114/", "x_url": "https://x.com/ludvigswanstrom", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c6814535e0aa091165bdd119b8a2814dd1000773.jpg" } ], "jobs": [ { "id": 110539, "title": "Founding BDR (Business Development Representative)", "url": "https://www.ycombinator.com/companies/vesence/jobs/YTaHNCr-founding-bdr-business-development-representative", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K", "equity_range": "0.05% - 0.10%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 110543, "title": "Founding GTM", "url": "https://www.ycombinator.com/companies/vesence/jobs/4sRUhpe-founding-gtm", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K - $200K", "equity_range": "0.20% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Vesence Raises $9M Seed Round | Vesence", "url": "https://www.vesence.com/blog/seed-round-announcement", "date": "Oct 28, 2025" } ], "launches": [ { "id": 90570, "title": "Vesence: Cursor for Transactional Lawyers", "tagline": "AI Agents inside of Microsoft Office for Transactional Law Firms. ", "body": "**TL;DR:** We are building Cursor for Lawyers. We turn Microsoft Word into an IDE for contracts, and build agents operating in the background. Our initial focus is on Transactional Law Firms, and agents built for quality-assuring projects and documents according to the firm’s best practice.\n\nWe have already rolled out Vesence firm-wide at our first enterprise client with a lot of love from both associates and partners.\n\nKnow any Transactional Lawyers? Let’s connect: [founders@vesence.com](mailto:founders@vesence.com).\n\nhttps://www.youtube.com/watch?v=Nr1Q7S6A84I\n\n**Problem:**\n\nImagine programming in Apple Notes.\n\nNo linting, no cursor, you are on your own.\n\nThat is how it is for many lawyers to draft and review contracts in Microsoft Word.\n\nAt law firms, the stakes are extremely high. Every mistake can hurt your reputation badly. Associates need to deliver under time pressure, partners demand extreme attention to detail, and your clients will not accept any blunders.\n\nGiven the attention to detail needed in the work, working on complex projects under constant time pressure, we are starting with quality-assuring agents (i.e. a linting system for contracts).\n\nThe consequences of shipping \"bugs\" in a legal document can be catastrophic, but even the best firm still rely on manual review to catch mistakes.\n\n**What We’ve Built**\n\nVesence offers quality assurance AI agents available straight in Microsoft Word to handle tasks such as:\n\n* **Apply firm-wide Standards**: Apply writing style guides and best practices consistently across all practice groups in the firm\n* **Ensure project-level alignment**: Flag inconsistencies across multiple deal documents, for example auto-checking the SPA against the original term sheet\n* **Verify document consistency**: Catch defined term slips, bad cross-references, logical gaps, and miscalculations within a single document\n\n![uploaded image](/media/?type=post&id=90570&key=user_uploads/2486274/99f83828-eeb2-4d36-9c69-e8401e4ab7b5)\n\n**Why This Matters**\n\nLet’s hear it from our users:\n\n“You saved me 4 hours last night.”\n\n“I’m never sending out a document/project again unless I’ve used Vesence.”\n\n“This is how AI should feel like. Intuitive and extremely helpful.”\n\n**Associates** love Vesence as they can produce exceptional internal deliveries under less pressure to seniors and partners. **Partners** love the tool as their teams hand them better quality work and follows the firm’s best practices.\n\nThe interest we have seen from transactional law firms is great, but we also received inbound from other professional service providers that care deeply about quality and the reputation of their firms, including Investment Banks and Management Consultants.\n\nBasically, the holy trinity of where the ‘pls fix’ culture thrives.\n\n**Who We Are**\n\n![uploaded image](/media/?type=post&id=90570&key=user_uploads/2486274/e3b7f4e8-f03a-448d-9af8-fabe96a9feea)\n\nThe founders **Henrik Hansson** and **Ludvig Swanström** have known each other for 8 years, and worked together at the YC startup Depict S20 (founded by the CEO and Founder of Lovable).\n\nTo build Vesence, we spent a couple of months living at a law firm, to refine the product and user experience alongside lawyers.\n\nWe have already rolled out the product firm-wide at a law firm.\n\n**Our Ask**\n\nKnow any partners, innovation managers, or associates at transactional law firms? Please connect us!\n\nHave you ever worked at a law firm, management consultancy firm, or an investment bank and faced brutal pls fix tasks? Please share them with us!\n\nReach out to us at: [founders@vesence.com](mailto:founders@vesence.com)", "url": "https://www.ycombinator.com/launches/NYo-vesence-cursor-for-transactional-lawyers", "votes": 32, "created_at": "2025-05-20T20:03:01.272Z" } ] }, { "id": 30719, "name": "ProcIndex", "slug": "procindex", "former_names": [ "Inbox0", "April" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/55b886e3f926718d32add5ccfdea06761c40b243.png", "website": "https://procindex.com/", "all_locations": "San Francisco, CA, USA", "long_description": "ProcIndex uses AI to automate accounting operations for the construction and manufacturing sectors.\r\n\r\nIt connects to your existing ERP and operates in the background while giving you full visibility into its actions. By automating accounts payable, accounts receivable, reconciliation, and vendor management, ProcIndex helps accounting teams improve efficiency by 33%.", "one_liner": "AI-powered accounting automation for construction and manufacturing", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1753405058, "tags": [ "Fintech", "Finance", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/procindex", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/procindex.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/procindex", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/55b886e3f926718d32add5ccfdea06761c40b243.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1630402, "full_name": "Neha Suresh", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO @Procindex | Engineer | Builder | Early Zoho Books | CMU alum\n\nCMU alum, previously led engineering at Zoho where I helped build the accounting platform for the Middle Eastern & Indian markets. \nFounding engineering team @Zoho Books India\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/nehasuresh1904", "x_url": "https://x.com/Neha_Suresh_M/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/67040fe0ca29b7909af18de4479c7d9929e15fc5.jpg" }, { "user_id": 605060, "full_name": "Akash Thakur", "title": "Founder/CTO", "founder_bio": "Building Procindex | Ex-Apple", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/akashthakur1203", "x_url": "https://x.com/vedhsaka", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/36822d7333461c70706167850c6c4420e1fc0409.jpg" } ], "jobs": [ { "id": 92622, "title": "Software engineer - 2", "url": "https://www.ycombinator.com/companies/procindex/jobs/n9LdkKd-software-engineer-2", "location": "IN / Remote (IN)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "₹1.5M - ₹2M INR", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "Y Combinator S25: The Full Batch - by Ollie Forsyth", "url": "https://www.neweconomies.co/p/ycstartups2025", "date": "Sep 08, 2025" }, { "title": "The Most Promising Startups To Watch From YC Summer 2025 Batch", "url": "https://www.forbes.com/sites/dariashunina/2025/09/04/the-most-promising-startups-to-watch-from-yc-summer-2025-batch/", "date": "Sep 04, 2025" } ], "launches": [] }, { "id": 30859, "name": "Locus", "slug": "locus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8e0c09c51f4da48f69bd8d711a166171d7420a4.png", "website": "https://paywithlocus.com", "all_locations": "San Francisco, CA, USA", "long_description": "We make your agents pay.\r\n\r\nAs agents evolve from tools into dependable, autonomous actors, they’ll need the ability to execute open-ended workflows end-to-end.\r\n\r\nThis inevitably means payments: accessing paywalled data, transacting for services or with other specialist agents. But autonomy requires guardrails. Businesses and developers will need a way to ensure their agents only spend how much and on what they’re supposed to.\r\n\r\nThe machine economy is coming, and Locus (YC F25) is building the connector businesses will need to participate. We connect agents securely to funds, letting you define permissions and limits for every transaction. Each payment is traceable, auditable, and fully reconcilable with your existing financial stack.", "one_liner": "Payment infrastructure for AI agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1761342337, "tags": [ "Finance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/locus", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/locus.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/paywithlocus/", "x_url": "https://x.com/paywithlocus", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8e0c09c51f4da48f69bd8d711a166171d7420a4.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": 2656097, "full_name": "Cole Dermott", "title": "Founder/CEO", "founder_bio": "I like moving money. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/coledermott/", "x_url": "https://x.com/coledermo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/52c3bdc2a2434f4dbceafbdc97c3d23d62ce9210.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 103214, "title": "Locus Founder", "tagline": "An AI agent that builds and runs an internet business for you", "body": "![uploaded image](/media/?type=post&id=103214&key=user_uploads/2656097/bfeee97f-7eb2-42d3-ad2e-b02cfc5ee724)\n\nHey everyone 👋\n\nOn Monday, June 15th, at 8am PST we're launching **Locus Founder** (), an AI agent stack that builds and runs an internet business for you. You bring the idea, it does the rest, and you drive the whole thing by texting it (iMessage, SMS, Telegram, or web).\n\n**What it does**\n\nText it an idea and it goes to work. It researches you and proposes a business aligned to who you are, does market research across 40+ paid data APIs, generates a full brand kit, and builds and deploys a real full-stack website (frontend, backend, database, the works). From there it sources products (print-on-demand, digital goods, or a curated catalog of 500+ dropshippable products), runs outbound across email and social, sources leads from Apollo, Google Maps, Reviews, Instagram, YouTube, and Yelp, generates short-form video ads and posts them to Meta, and handles payments (USDC direct transfers, card in/out). Loki, our mascot, is the face guiding you through all of it.\n\n**Demo video:** \n\n**The backstory**\n\nA lot of you watched the earlier pieces ship, so the arc will be familiar.\n\nWe started with **Pay With Locus**, non-custodial wallet infrastructure so AI agents could spend money safely, with spending controls and auditability built in. The feedback was consistent: why would we give an agent money when there's nothing for it to buy?\n\nSo we built the supply. **Build With Locus** (full-stack deployments for agents via pay-per-use API endpoints), a catalog of 40+ pay-per-use data APIs, and **Checkout With Locus** (a Stripe-style, machine-readable payment SDK that takes USDC, is human-or-agent payable, and settles funds straight back into the agent's Locus wallet).\n\nThen users hit us with the real one: why would I still give it money if it can't earn me any back? I'm not comfortable handing my agent a dollar knowing it can't reasonably make me one.\n\n**_That question is the entire reason Locus Founder exists:_** the AI agent that earns you a dollar by running your business, just by texting it. And it's an evolution of everything we've built. Every Locus Founder user is a Pay With Locus user (credits run off our wallets), a Build With Locus deployment (sites deploy on BWL), and a consumer of our pay-per-use API suite. It's the first app anyone can pick up and use, sitting on top of all of our infrastructure.\n\n**_The honest why underneath it:_** the K-shaped economy framing has never sat right with me. The tools to build aren't so expensive that people are fully priced out yet. There's still a window where someone can make an active effort to change their trajectory. Locus Founder is our effort. It's for the people who always wanted to start something but kept running out of time, money, skills, or resources. We're bringing the same AI tools us folks in tech have been bragging about for two years directly to everyone else, in a form they can actually use. Above all else, our goal is to earn our users a dollar.\n\n**Launch video:** \n\n**Pricing (kept honest):** We’re doing limited daily free usage so people can try the product instantly. Additionally, we have a subscription for $50/mo which includes effectively unlimited access. We take 5% of profits only above $1,000/mo, and nothing under that. Our goal is truly for our users to earn.\n\n**My asks**\n\n1. **Try the onboarding and tell me where it's rough.** I want the brutal version. [locusfounder.com](http://locusfounder.com)\n2. **Intros to anyone who's always wanted to start something but never had the time.** That's exactly who we built this for.\n\nThank you all. This community has been a huge part of getting us here.\n\nCole", "url": "https://www.ycombinator.com/launches/Qqk-locus-founder", "votes": 7, "created_at": "2026-06-14T23:16:28.675Z" }, { "id": 95052, "title": "Locus – Payment infrastructure for AI agents", "tagline": "Give AI agents spending power without losing control", "body": "![uploaded image](/media/?type=post&id=95052&key=user_uploads/2656097/b9c1fd17-80cf-4a84-b400-34fc2577f0db)\n\nHey YC! We’re Cole and Eliot, and we’re building **Locus,** which is payment infrastructure for AI agents. We help developers safely connect agents to funds and define exactly how those funds can be used, with agent identities, budgets, permissions, and full audit trails.\n\n# Our Story\n\nWe came to this problem from opposite ends of the same frontier. Cole spent last summer at Coinbase, building B2B payment products and seeing firsthand how control and compliance shape financial infrastructure. Eliot was working at Scale AI, maintaining data pipelines for the world’s largest AI labs. He watched as models began to tackle sustained, open-ended tasks. Both of us realized that as agents grow more capable, the next bottleneck isn’t intelligence: it’s _trust_.\n\nPayments are a web primitive. And as we task agents with increasingly long and noisy workflows, they will _inevitably_ need to make payments. This might mean ordering parts to complete a physical repair, paying another agent for design work, hiring a contractor for a one-off task, or making micropayments to access private data.\n\nBut today’s payment rails were built for humans, not autonomous systems. There’s no safe way to say, “this agent can spend $500/day on these vendors,” and have that rule enforced. No audit trail showing which agent authorized what and why.\n\n# Make Them Pay — Today!\n\nRecently, OpenAI, Google, Visa, and Coinbase all released their own agentic payment protocols. But while everyone’s racing to build the next payment rails, nobody’s building the _control_ layer: the foundation that actually gives you power over how your agents use these rails. **Locus is building exactly this.**\n\nLocus currently supports USDC on Base, with support for ACH and wire transfers coming soon. You can give your agents spending power and start building today.\n\n# Demo\n\nWe built a micro-task payment system where an agent evaluates work submissions, scores quality, and pays contributors automatically. You set rules like \"max $50 per payout, $500/day, must include a justification.\" The agent handles the rest. No manual approval needed, but you have full audit trails showing who got paid, when, and why.\\\nhttps://youtu.be/ICSzoZTq9JE\n\n# Join Us!\n\nIf you build agents, join our beta and help shape the future of agent-driven finance! Learn more and sign up at [paywithlocus.com](http://paywithlocus.com). We'll give you $10 in USDC to experiment with.\n\nWe’re also building a community of builders in the space and would love for you to join. If agents with spending power sound at all interesting to you, join here to stay in the loop: https://discord.gg/TGnjUceXwE\n\n# [https://youtu.be/6rntHGR475U\\\\](https://youtu.be/6rntHGR475U%5C)\n\n# Contact Us\n\nEmail [founders@paywithlocus.com](mailto:founders@paywithlocus.com), or find us on [LinkedIn](https://www.linkedin.com/company/paywithlocus/) or [X](https://x.com/PayWithLocus).\n\n**Cole Dermott:** [LinkedIn](https://www.linkedin.com/in/coledermott), or DM [@coledermo](https://x.com/coledermo) on X.\n\n**Eliot Lee:** [LinkedIn](https://www.linkedin.com/in/eliotlee3/), or DM [@eliotlee33](https://x.com/eliotlee33) on X.", "url": "https://www.ycombinator.com/launches/Oj6-locus-payment-infrastructure-for-ai-agents", "votes": 84, "created_at": "2025-10-31T16:24:24.218Z" } ] }, { "id": 30886, "name": "Clerked", "slug": "clerked", "former_names": [ "Mod AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/84eedde0d0f019eaafca3d59004098b0b94f6ffb.png", "website": "https://clerked.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Fully automate your accounts payable with the most advanced AI clerks in the world.\r\n\r\nThen ask them anything about your spend. They build custom reports, find savings, and tell you exactly when to pay to protect cash flow and capture discounts.\r\n\r\nClerked is the only AP platform that lets you manage your payables entirely from your phone, in Teams, Slack or iMessage.\r\n\r\nSee it work at clerked.ai", "one_liner": "AI clerks that automate your payables", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1759171972, "tags": [ "Fintech", "Finance", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/clerked", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/clerked.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/clerked-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/84eedde0d0f019eaafca3d59004098b0b94f6ffb.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": 1635968, "full_name": "Evan Meyer", "title": "Founder/CEO", "founder_bio": "CEO @ Clerked\n\nStudied CS + Stats at UIUC and worked in data, ML, AI at LinkedIn and a couple of startups.", "is_active": true, "linkedin_url": "https://linkedin.com/in/evanameyer", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/81107bf69f7a35f50950e37d47296f47cbb3e6e0.jpg" }, { "user_id": 2058253, "full_name": "Sunjeet Chugh", "title": "Founder/CTO", "founder_bio": "CTO @ Clerked (formerly Mod AI).\n\nOn leave from studying CS & Statistics @ UIUC, previously worked on applied AI and distributed systems at Amazon, Adyen, and Retail/CPG companies.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jeetchugh/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/08af39a0f3c84576e9352607ed3b99f60d92d3b9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94606, "title": "Mod AI: Automating Accounts Payable with AI Agents", "tagline": "Where AP runs itself", "body": "Hey everyone 👋\n\nWe’re [Evan](https://www.linkedin.com/in/evanameyer/) and [Jeet](https://www.linkedin.com/in/jeetchugh/) – co-founders of [Mod AI](https://usemod.ai).\n\n# **TL;DR**\n\n**Mod AI automates the manual work of processing invoices for growing enterprises.** We’ve already helped accounting teams of 1-20+ streamline their invoice processing by 83%.\n\n**_Ask:_** Can you introduce us to CFOs, controllers, Accounting Directors, or Accounts Payable managers of mid to large companies that could benefit from streamlining their accounting processes with AI? Contact us at [evan@mod-ai.org](mailto:evan@mod-ai.org)\n\nhttps://youtu.be/XaT6mEQnWmE\n\n# ❌ The Problem\n\nMost growing enterprises still process invoices manually—hiring AP clerks to comb through inboxes, type up documents, and chase approvals. As volume grows, they scramble to add more headcount or outsource to expensive temps.\n\nThis creates three major pains:\n\n1. **Cash flow blindness** – No visibility until month-end close\n2. **Unscalable manual work** – More invoices means more clerks (highest-turnover role in finance)\n3. **Vendor relationship damage** – Late payments and errors erode trust\n\nWe talked to 23 CFOs last month—nearly all said their AP process couldn't scale.\n\n# 👷 Our Solution\n\nMod AI deploys AI agents that handle your accounts payable process end-to-end—from the moment an invoice arrives to the moment it's paid and synced to your books. Companies simply connect their systems and instantly get:\n\n* **Complete invoice capture** 📥**:** Auto-pull from email, supplier portals, EDI, physical mail\n* **Intelligent processing** 🧠**:** 97%+ accurate GL coding, 2-way/3-way matching, fraud detection\n* **Seamless approval & payment** ✅**:** Custom workflows, one-click approvals, direct sync to accounting software\n\n**Result:** Real-time spend visibility, 10x invoice volume without hiring, and stronger vendor relationships.\n\n# 🙏 Our Ask\n\nIf you answer \"yes\" to any of these, we'd love your help:\n\n* **Do you know any mid-market CFOs, Controllers, or VP Finance leaders** whose AP teams are drowning in manual invoice work? Or are you one yourself? We'd love to show you a demo and discuss how Mod AI can help you scale without adding headcount.\n* **Can you introduce us to any finance operations networks or communities** where leaders are looking for AI solutions to automate back-office work?\n* **Can you introduce us to any accounting firms, fractional CFO groups, or ERP consultants** who work with mid-market companies in financial services, insurance, or manufacturing?\n\n👉 **Contact us at [evan@mod-ai.org](mailto:evan@mod-ai.org)**", "url": "https://www.ycombinator.com/launches/Obu-mod-ai-automating-accounts-payable-with-ai-agents", "votes": 13, "created_at": "2025-10-14T14:37:44.360Z" } ] }, { "id": 30922, "name": "Selfin", "slug": "selfin", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c62fd75050245643921b794ea15f1786d2ee9033.png", "website": "https://selfin.app", "all_locations": "San Francisco, CA, USA", "long_description": "Bring us risk. We’ll find the market. Institutional liquidity for event-driven exposure across prediction markets.\r\n", "one_liner": "Institutional liquidity across prediction markets", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Consumer Finance", "launched_at": 1759770880, "tags": [ "Fintech", "Finance", "Investing", "Trading" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Fintech", "Consumer Finance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/selfin", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/selfin.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/selfinltd/", "x_url": "https://x.com/Selfin_app_", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/selfin-58f3", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c62fd75050245643921b794ea15f1786d2ee9033.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b6db09708d732386c0e6db60101a970af10ea16c.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1207076, "full_name": "Paula Gutierrez", "title": "Founder/CEO", "founder_bio": "-Aerospace @Imperial, MIT, UC Berkeley\n-Quant @Bank of America, NASA, Rolls Royce, Software engineer startups", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/paula-gutierrez-/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f74ab30ecdd25ba29f791a5ddc2cd8b14079639f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95468, "title": "Selfin: building the first AI Bank 🏦", "tagline": "All in one financial platform where you can connect all your financial products", "body": "Hey everyone! 👋\n\nWe are [Paula](https://www.linkedin.com/in/paula-gutierrez-/) and [Joel](https://www.linkedin.com/in/joel-tomas-pimentel/), co-founders of [Selfin](https://selfin.app).\n\n# **TL;DR**\n\nWe are **building the first AI Bank**. We are starting with an all in one financial platform where you can connect all your financial products: credit, investments, crypto, 401k, savings and get personalised recommendations powered by AI.\n\nhttps://youtu.be/yOUaWeDQfk8\n\n# **The problem ❌**\n\n**Banking is painful.**\n\nYour money is scattered across different apps that don’t talk to each other, leading to bad rates, high fees, and poor financial choices. If you actually want to manage your finances properly, you end up juggling budgeting tools, spreadsheets, and hours of research.\n\n# **The solution ✅**\n\nThat’s why we’re building Selfin. We want to create a banking experience with full context of your personal situation. Our mission is to create personalised financial products and ultimately build the first large AI-native neobank in the US.\n\nWe’re starting with an AI-powered assistant that acts for you, using financial agents to automate everything. And we will incorporate further banking products along the way.\n\n![uploaded image](/media/?type=post&id=95468&key=user_uploads/2892767/e3a9f229-6525-4570-8f67-ecd36ebdf3b8)\n\n# **The team** 🚀\n\nWe met each other while studying at Imperial in the UK, and after moving to the US to finish our master’s thesis at MIT & Stanford, we realised how lagging the US banking experience was compared to other places.\n\nWe couldn't stand the status quo, so we're fixing it.\n\nPaula - Aerospace Eng grad from Imperial & MIT, previously worked at NASA and BofA\n\nJoel - Aerospace Eng grad from Imperial & Stanford, previously worked at BCG\n\n# **Our Ask 💬**\n\n**Get early access and become one of our beta testers** at [www.selfin.app](http://www.selfin.app)\n\nWe are determined to build something people want, so if you want to help us shaping our product with your feedback, join the waitlist and/or contact us:\n\n[admin@selfin.app](mailto:admin@selfin.app)", "url": "https://www.ycombinator.com/launches/Opo-selfin-building-the-first-ai-bank", "votes": 757, "created_at": "2025-11-12T22:01:40.193Z" } ] }, { "id": 30945, "name": "Zalos", "slug": "zalos", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e1e6ee7d8a3b596506042ea8802d90c9c4292a17.png", "website": "https://www.zalos.ai/", "all_locations": "London, England, United Kingdom", "long_description": "Zalos is the Finance Automation Workbench for enterprise finance teams.\r\n\r\nZero Integrations | Transparent Decisioning | Outcome-based Pricing\r\n\r\nLearn more at www.zalos.ai/contact-us\r\n\r\nZalos AI Workers automate processes with improved accuracy, controls & auditability, using a Finance-specific agent harness & skill library.\r\n\r\nBacked by Y Combinator, 14 Peaks, Cohen Circle and strategic angels such as CFO Fedex, Board Member TA Associates, COO Deel and more.\r\n\r\nHire Zalos AI workers such as:\r\n• Zalos AI Staff Accountant\r\n• Zalos AI Billing Analyst\r\n• Zalos AI AP Analyst\r\n• Zalos AI Treasury Manager\r\n\r\nAnd more. Discuss your enterprise finance transformation at www.zalos.ai/contact-us", "one_liner": "Hire Zalos AI workers to run your finance department", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1759103907, "tags": [ "Fintech", "Finance", "Enterprise", "Billing", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "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": "Finance processes do not live in one system. They run across ERPs, portals, spreadsheets and inboxes that do not connect cleanly. People move data and resolve the same exceptions by hand every month.\r\n\r\nZalos AI Workers operate those systems the way a finance team does, with tighter controls, accuracy and auditability, using a finance-specific agent harness & skill library.\r\n\r\n**WHY FINANCE TEAMS CHOOSE ZALOS** \r\n\r\n1\\. ZERO SYSTEM INTEGRATION \r\n\r\nAI Workers log in and use your systems through the user interface, as your team does. There are no API integrations to build and no software to replace. \r\n\r\n2\\. TRANSPARENT DECISIONING \r\n\r\nDecisions follow deterministic rules, not model judgement. Decision logic, inputs and controls are traceable and ready for audit, with linked workbooks and timestamped run logs behind every entry. \r\n\r\n3\\. OUTCOME-BASED PRICING\r\n\r\nROI secured by Zalos solving last-mile work, then customer starts subscription when criteria met." } ], "url": "https://www.ycombinator.com/companies/zalos", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/zalos.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/zalos/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e1e6ee7d8a3b596506042ea8802d90c9c4292a17.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f7e524b37043948e82ce17c31ac512c4d8af84b5.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 42612, "full_name": "William Fairbairn", "title": "Founder/CEO", "founder_bio": "William was UK General Manager at Agicap, one of the leading ‘Office of the CFO’ startups in Europe (valued at ~$800m).\n\nHe previously was in McKinsey Tech practice, and built & exited a B2B SaaS.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/willfairbairn/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec080db6feb17e7dcea5af731595718d513c4bbe.jpg" }, { "user_id": 2531337, "full_name": "Hung Hoang", "title": "Founder/CTO", "founder_bio": "Hung built Apple Pay products like Buy Now Pay Later, serving millions daily, and worked on AI initiatives at Apple and other AI startups (Twin.so, Gitguardian).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hxuanhung/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a54a8145817c1b3a9f8101446d01fa70ed01f395.jpg" } ], "jobs": [ { "id": 89202, "title": "Founding Product Engineer", "url": "https://www.ycombinator.com/companies/zalos/jobs/MbpksyV-founding-product-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£70 - £130 GBP", "equity_range": "0.20% - 1.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 95332, "title": "Senior AI Engineer", "url": "https://www.ycombinator.com/companies/zalos/jobs/q9x1zkX-senior-ai-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£70 - £140 GBP", "equity_range": "0.20% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Zalos Raises $3.6M To Bring Computer Agents To The CFO's Office", "url": "https://www.forbes.com/sites/ilonalimonta-volkova/2026/03/24/zalos-raises-36m-to-bring-computer-agents-to-the-cfos-office/", "date": "Mar 24, 2026" } ], "launches": [ { "id": 94182, "title": "⚡ZALOS: Computer Agents for Finance Operations", "tagline": "Automate repetitive Finance workflows like categorization & reconciliation, without changing Finance systems!", "body": "### **Eliminate your Finance Operations grunt work - NOW!**\n\n**Zalos Computer Agent:**\n\n⚡Logs into existing systems (e.g., ERP, Accounting, other CFO tools)\n\n⚡Automates Finance processes (e.g., reconciliation, categorization, form filling)\n\n⚡Uploads & submits in your system\n\nRequest demo here:[ ](https://bit.ly/4gJalwn)https://www.zalos.ai/contact-us\n\n**Our ask:** Send our website / YouTube to 5 friends in Midmarket / Enterprise Finance & Operation teams - thank you!\n\nhttps://youtu.be/tx5ymY7DZEU?feature=shared\n\n### **Why IS THIS?**\n\n# **The Blockers ➜ Your Finance Systems:**\n\nFinance Operations is buried in repetitive tasks, driving:\n\n❌ **Lack of financial visibility** for decision-making\n\n❌ **Wasted time** by in-house or outsourced teams\n\n❌ **Mistakes** and **delays** from human-driven processes\n\nBarriers to FinOps automation have included:\n\n🚨 **Legacy ERPs** with limited AI\n\n🚨 **Authentication-protected** websites & portals\n\n🚨 **Too many Finance Systems** that don’t speak to one another\n\nIt doesn’t have to be this way.\n\n# **The Breakthrough ➜ Zalos:**\n\nZalos Agents run your rule-based processes, using your existing Finance applications:\n\n⭐ Our agents **automate processe**s based on **simple instructions** (e.g., Screen Recording, PDFs)\n\n⭐ **Native handling of ERPs** or other applications (e.g., 2FA, Captcha)\n\n⭐ **Superior Finance & Accounting task performance**, including leveraging our **FinOps libraries** (e.g., System Access, Categorization, Reconciliation, etc.)\n\n![uploaded image](/media/?type=post&id=94182&key=user_uploads/42612/798b755c-d5bd-4b10-be1a-dd27ee7a41ff)\n\n⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻\n\n# **Customer story:**\n\n**FROM:** In the Bay Area, a Finance Manager was wasting 4 days (!) per month:\n\n✖️ Downloads transactions from Corporate Credit Cards & legacy Banks\n\n✖️ Uploads into NetSuite and manually categorizes 100s of transactions\n\n**USING ZALOS:** Finance Manager schedules ‘run process’ weekly:\n\n✔️ Zalos handles 2FA to download & submit required transactions\n\n✔️ Zalos operates NetSuite to categorize >60% outstanding transactions\n\nNo browser required: Zalos works silently in the background, continuously improving itself.\n\nGaining 1 day per week was transformational. The Finance Manager could:\n\n🟪 Reduce financial risks with closer inspection (e.g., debt covenants)\n\n🟪 Catch cash leakages by spotting suppliers being paid at generous terms\n\n🟪 Be a strategic partner to the CEO & business with better analysis\n\n⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻\n\nZalos **transforms** your Finance Operations:\n\n☑️ **Scale without headcount** - don’t let Operations teams be a bottleneck\n\n☑️ **Smarter every day**, with evals & RL-finetuning driving a self-performing system\n\n☑️ **Built for Enterprise-grade security** and screen records every automation for audit\n\nRequest demo here:[ ](https://bit.ly/4gJalwn)https://www.zalos.ai/contact-us\n\n⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻\n\n# The Team\n\n**William** was UK General Manager at Agicap, one of the largest ‘Office of the CFO’ startups in Europe, after working at McKinsey. He previously built & sold a bootstrapped B2B SaaS.\n\n**Hung** built Apple Pay products like Buy Now Pay Later, serving millions daily, and led on other AI initiatives at Apple, alongside working for other great AI startups.\n\n## **⚔️ We’re on a war path to automate repetitive Finance tasks⚔️**\n\n➡➡ Request demo here:[ ](https://bit.ly/4gJalwn)https://www.zalos.ai/contact-us\n\n📩📩 **Questions?** Email me at: [will@zalos.ai](mailto:will@zalos.ai)\n\n🙏🙏 **Our ask:** Send our website / youtube video to 5 friends in Finance / Operations - thank you!", "url": "https://www.ycombinator.com/launches/OV4-zalos-computer-agents-for-finance-operations", "votes": 324, "created_at": "2025-09-29T14:00:21.640Z" } ] }, { "id": 30949, "name": "Crunched", "slug": "crunched", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/386111466c0c67b245d52cdab2fb675d0a73799e.png", "website": "https://usecrunched.com/", "all_locations": "Oslo, Oslo, Norway", "long_description": "Crunched is the Excel AI analyst for power users - in consulting, investment banking, and private equity. It error-checks workbooks end-to-end, builds models from scratch, and handles grunt work like extracting and linking data from IMs to template models - all within Excel so teams can review and iterate as usual.\r\n\r\nAgents struggle with tabular data - getting reliable, multi-step execution over thousands of interlinked formulas, sheets, and ranges is hard. Making Crunched good enough for people who live in Excel means knowing the pain points deeply.\r\n\r\nMichael and Philip has 10,000+ hours in Excel across consulting and finance. Markus and Lars bring deep expertise in scaling AI and enterprise solutions.\r\n\r\nWe've had easy access to first customers and are already live with firms across six European countries - we now plan to expand into the US. With >1bn total Excel users, we focus on the top 2%, highest-value Excel users globally. \r\n\r\nWe're solving one pain point at a time to create a product that doesn't just look good in a demo but actually works in production.\r\n\r\nExcel is here to stay, but the way experts model is fundamentally changing - with Crunched.", "one_liner": "Excel AI analyst for Power Users", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1760902114, "tags": [ "Finance", "Productivity", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "Norway", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/crunched", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/crunched.json", "year_founded": 2025, "city": "Oslo", "country": "NO", "linkedin_url": "https://linkedin.com/company/usecrunched", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/386111466c0c67b245d52cdab2fb675d0a73799e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/eeb6c636c9bec76ca5801d4482c565a9d00c3bd3.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 2751214, "full_name": "Philip Borge", "title": "Founder", "founder_bio": "Co-founder & CEO at Crunched. Previous McKinsey PE and CEO of Okkult, an AI-powered optician concept. MSc in Finance & Private Equity from the London School of Economics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/philip-z-borge-97690b149/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0b961b9c941ed1e9931bdd0372990d930d81c405.jpg" }, { "user_id": 2978949, "full_name": "Lars Gjardar Musæus", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of Crunched. Senior full-stack and infrastructure engineer with deep experience building production systems - from cloud platforms and distributed backends to real-time control systems. Worked closely with customers to deliver tailor-made, end-to-end applications in forward-deployed engineering teams at Bekk, built cloud infrastructure at Schibsted and Sopra Steria, and developed autonomous maritime systems at Kongsberg Defence. Holds an MSc in Cybernetics & Robotics (NTNU).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lars-g-mus%C3%A6us-756701174/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a3d07ff05f546de95769f47cf3b56f56ebe70f68.jpg" }, { "user_id": 2966727, "full_name": "Michael Sakowski", "title": "Founder", "founder_bio": "Co-founder & COO at Crunched. Previous consultant and jr manager at McKinsey & Company. Core member of our Private Capital practice, focusing on commercial due diligence and PortCo strategy. Earlier also crunched out Excels in both investment banking and private equity. Masters in Banking & Finance from University of St. Gallen in Switzerland.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michael-sakowski-9b9043148/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fc6ba7341b90d7c4968341fc9ead7fe7b24e31cd.jpg" }, { "user_id": 2979507, "full_name": "Markus Skagemo", "title": "Founder", "founder_bio": "Co-founder and Head of AI at Crunched! Background in Robotics and Control Systems from NTNU. Former Data Scientist at Oda, Norway’s first unicorn, and at BearingPoint, where I built and scaled AI solutions for clients in finance and luxury automotive. Recipient of BearingPoint’s Global Innovation Award.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/markus-skagemo", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20c36a2bd78a64d932296d2b845f7998d9b1b60d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94760, "title": "Crunched - The AI Excel Analyst ⚡", "tagline": "Crunched makes consultants & finance professionals >2x their Excel modeling speed", "body": "Hi YC 👋\n\nWe’re [Philip](https://www.linkedin.com/in/philip-z-borge-97690b149/), [Michael](https://www.linkedin.com/in/michael-sakowski-9b9043148/), [Lars](https://www.linkedin.com/in/lars-g-mus%C3%A6us-756701174/) and [Markus](https://www.linkedin.com/in/markus-skagemo/) - and we’re building [Crunched](https://www.usecrunched.com/?utm_source=YC&utm_medium=post)\n\n# **TL;DR**\n\n**Crunched is the first AI Excel agent built by and for Excel power users**, tailored for management consulting and finance workflows\n\nWe’ve spent 10,000+ hours in Excel ourselves, and are live with consulting, IB and PE firms across Europe and the US, 2x-ing their Excel modeling speed\n\n**_Ask:_** We would love for you to introduce us to mgmt. consulting, investment banking or PE firms - contact us at [philip@usecrunched.com](mailto:philip@usecrunched.com)\n\n[**https://youtu.be/zBXue210_qo**](https://youtu.be/zBXue210_qo)\n\n# **Why we’re doing it**\n\nMichael and Philip have worked on countless deals at McKinsey and in other IB/PE roles, and it always starts and ends with an Excel model. It’s either the main deliverable itself, or the entire backbone of the slide deck.\n\nNo matter how skilled you are, manual Excel modeling is slow and super error-prone. On one of our last projects, a company’s 2030 revenue projection presented to the CEO was doubled because a colleague (promise it was a colleague), had linked the forecast to year 1 revenue growth for all years. That was a fun follow-up call afterwards.\n\nAssociates need specialized AI tools they can collaborate with directly in their workflows, to drive productivity and accuracy. The solution is not to replace Excel, but to augment it and solve one pain point at a time. That’s why we’re building Crunched.\n\n# **What we’re doing**\n\nCrunched is an Excel-native AI analyst that can:\n\n1. **_Error-check models:_** Check models for logical, formula and conceptual mistakes\n2. **_Gather data:_** Run targeted web research and extract figures from PDFs (e.g., annual reports) and link it into templates\n3. **_Build analyses:_** Build bespoke analyses from scratch, turning 1h tasks into 5-10min automated workflows\n\n![uploaded image](/media/?type=post&id=94760&key=user_uploads/2751214/b2d93de1-6fa0-44de-b6eb-3ec8197d190a)\n\nUsers are already reporting that they’re >2x faster on specific tasks. We are on a mission to make it 10x across all modeling work.\n\n# **Team**\n\nMichael and Philip have 10,000+ hours of Excel experience (often until 4am) from McKinsey. Lars and Markus have years of experience shipping and scaling award winning AI enterprise solutions, and are building Crunched with the cutting-edge security needed for clients to trust us with their highly confidential data.\n\n![uploaded image](/media/?type=post&id=94760&key=user_uploads/2751214/b8c7c9db-f67a-4228-8db4-818620d713b7)\n\n# **Ask**\n\n**We’re expanding in Europe and into the US and are looking for warm intros** **to mgmt. consulting, IB and PE firms.** If you are or know any Excel power users we’d love your help.\n\nPlease reach out at [philip@usecrunched.com](mailto:philip@usecrunched.com) or book a live demo on [our website](https://usecrunched.com?utm_source=YC&utm_medium=post). All help is appreciated - **thank you!**", "url": "https://www.ycombinator.com/launches/OeO-crunched-the-ai-excel-analyst", "votes": 62, "created_at": "2025-10-20T14:48:59.711Z" } ] }, { "id": 31243, "name": "Foreman", "slug": "foreman", "former_names": [ "Scout Out" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4ea6017f7d414cf92f14434141d6dd12101b14d9.png", "website": "https://foreman.co", "all_locations": "San Francisco, CA, USA", "long_description": "Foreman is the all-in-one AI-powered project management platform built for construction contractors and the trade industry.\r\nToday, contractors run complex businesses on a patchwork of tools that were never designed for construction — estimates in spreadsheets, plans in email, proposals copy-pasted from old Word docs, photos scattered across phones. Nothing talks to anything else, and the admin work never stops.\r\nForeman replaces that patchwork with a single platform that manages the full lifecycle of a construction job, from first estimate to final invoice. Contractors upload plans, photos, or a project description, and Foreman's AI instantly generates structured takeoffs, scoped estimates, and professional proposals — in minutes, not hours. From there, every customer record, document, permit, photo, change order, and conversation lives in one place, organized around the job.\r\nThe result: contractors spend less time buried in admin and more time building. They bid faster, manage jobs with less chaos, and close projects cleanly — without duct-taping five tools together to do it.", "one_liner": "Keeping contractors on the job site, not behind a desk.", "team_size": 2, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction", "launched_at": 1768343791, "tags": [ "Finance", "Construction", "Scheduling", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Real Estate and Construction" ], "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/foreman", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/foreman.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/111206906", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4ea6017f7d414cf92f14434141d6dd12101b14d9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2106935, "full_name": "Nolan Rossi", "title": "Founder/CEO", "founder_bio": "Currently keeping construction companies on the job site, not behind a desk.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nolan-rossi", "x_url": "https://x.com/NolanRossi100", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de427265df670b05fa9ab9dc34dbc9bd9807ab62.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98494, "title": "Scout Out: run your construction business from one place", "tagline": "Estimate faster, manage better, and keep every project on track", "body": "Hey everyone [👋](https://emojipedia.org/waving-hand)\\\nI’m [Nolan](https://www.linkedin.com/in/nolan-rossi/), founder of [**Scout Out**](https://www.scoutout.ai).\n\n**TL;DR**\n\nResidential contractors juggle dozens of moving pieces — estimates, plans, takeoffs, proposals, change orders, documents — across spreadsheets, email threads, and sticky notes. Scout Out is the all-in-one AI-powered project management platform built specifically for construction, automating the busywork so contractors can focus on building.\n\n[**Scout Out**](https://scoutout.ai/) contractors one platform to manage every job — with AI that handles takeoffs, clients, crew, and documents in minutes, not hours.\\\n\\\n**Ask:** If you know residential contractors, remodelers, or builders drowning in admin work, we'd love an intro.\n\n👉 Contact us at: [nolan@scoutout.ai](mailto:nolan@scoutout.ai)\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/30e770cd-ac0d-4853-9d5c-40b1cb0f9615)\n\n# [**🕺**](https://emojipedia.org/man-dancing)**The Team**\n\n[**Nolan (Founder & CEO)**](https://www.linkedin.com/in/nolan-rossi/) – triple majored in Electrical Engineering & Computer Science, Astrophysics, and Business Administration through UC Berkeley’s M.E.T. program, graduating in three years. He previously worked as a software development engineer at Amazon and ran a software consultancy he scaled to $250k in revenue. As a fourth-generation member of a family construction business, Nolan saw firsthand how difficult it is for contractors to consistently find new work — and how little time they have to sit down and bid on projects while managing active jobs. Scout Out was built to solve that problem.\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/6d9cfed3-6baf-4fac-b9b7-ec2a2d99a6de)\n\n# **❌ The Problem**\n\nResidential contractors are running complex businesses on a patchwork of tools that were never built for construction.\n\n* **Project management is fragmented.** Plans live in email. Estimates live in spreadsheets. Photos live on phones. Proposals get copy-pasted from old Word docs. Nothing talks to anything else.\n* **Estimating is slow and error-prone.** Reading through plans, measuring takeoffs, pricing labor and materials, then assembling a professional proposal — this process takes hours and still produces mistakes. Contractors either underbid to win, or overbid to be safe, and lose anyway.\n* **AI tools exist but aren't built for construction.** Generic project management software ignores the realities of field work — plan sets, per-page takeoffs, scope changes mid-build, subcontractor coordination.\n\n Contractors end up duct-taping tools together and paying the price in margin and stress.\n\n**The result:** Jobs are won with incomplete bids, managed with ad-hoc systems, and closed with manual paperwork that eats hours contractors don't have.\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/0cdecb42-5772-4e1d-81d1-1d7fb87db86d)\n\n# **🙌 Our Solution: One Platform for the Entire Job**\n\nScout Out is a single platform that handles the full lifecycle of a construction job — from first estimate to final invoice — with AI doing the heavy lifting.\n\n### Job & Customer Hub 🏗️\n\nEverything lives in one place, organized around the job:\n\n* Customer records and full contact history\n* All uploads in one place: plans, photos, permits, contracts, and insurance\n* Status tracking across every deliverable and milestone\n* Every conversation, change order, and document tied to the right job\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/ffbb3afc-3a3e-425d-800a-23c7fc95413a)\n\n### Instant AI-Powered Bidding ⚡\n\nWhen a contractor finds a project they want, ScoutOut generates a **clean, editable quote in seconds**.\n\n* Upload plans, photos, or a short description\n* AI produces a structured estimate covering scope, labor, and materials\n* Contractors can review, adjust, and send a professional bid immediately\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/cf8c8b3c-0744-4b8b-b092-16e0952bf102)\n\n### Built for Real Contractor Workflows 🔧\n\nScoutOut is designed for how contractors actually work:\n\n* No long setup or training\n* Quotes are editable and contractor-owned\n* Built to be used between site visits, calls, and active builds\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/f723d694-6721-4b5a-a80a-4bd39e691892)\n\n", "url": "https://www.ycombinator.com/launches/Pcc-scout-out-run-your-construction-business-from-one-place", "votes": 10, "created_at": "2026-03-05T17:19:52.616Z" }, { "id": 97506, "title": "Scout Out: run your construction business from one place", "tagline": "Estimate faster, manage better, and keep every project on track", "body": "Hey everyone [👋](https://emojipedia.org/waving-hand)\\\nI’m [Nolan](https://www.linkedin.com/in/nolan-rossi/), founder of [**Scout Out**](https://www.scoutout.ai).\n\n**TL;DR**\n\nResidential contractors juggle dozens of moving pieces — estimates, plans, takeoffs, proposals, change orders, documents — across spreadsheets, email threads, and sticky notes. Scout Out is the all-in-one AI-powered project management platform built specifically for construction, automating the busywork so contractors can focus on building.\n\n[**Scout Out**](https://scoutout.ai/) contractors one platform to manage every job — with AI that handles takeoffs, clients, crew, and documents in minutes, not hours.\\\n\\\n**Ask:** If you know residential contractors, remodelers, or builders drowning in admin work, we'd love an intro.\n\n👉 Contact us at: [nolan@scoutout.ai](mailto:nolan@scoutout.ai)\n\n# \n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/30e770cd-ac0d-4853-9d5c-40b1cb0f9615)\n\n# [**🕺**](https://emojipedia.org/man-dancing)**The Team**\n\n[**Nolan (Founder & CEO)**](https://www.linkedin.com/in/nolan-rossi/) – triple majored in Electrical Engineering & Computer Science, Astrophysics, and Business Administration through UC Berkeley’s M.E.T. program, graduating in three years. He previously worked as a software development engineer at Amazon and ran a software consultancy he scaled to $250k in revenue. As a fourth-generation member of a family construction business, Nolan saw firsthand how difficult it is for contractors to consistently find new work — and how little time they have to sit down and bid on projects while managing active jobs. Scout Out was built to solve that problem.\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/6d9cfed3-6baf-4fac-b9b7-ec2a2d99a6de)\n\n# **❌ The Problem**\n\nResidential contractors are running complex businesses on a patchwork of tools that were never built for construction.\n\n* **Project management is fragmented.** Plans live in email. Estimates live in spreadsheets. Photos live on phones. Proposals get copy-pasted from old Word docs. Nothing talks to anything else.\n* **Estimating is slow and error-prone.** Reading through plans, measuring takeoffs, pricing labor and materials, then assembling a professional proposal — this process takes hours and still produces mistakes. Contractors either underbid to win, or overbid to be safe, and lose anyway.\n* **AI tools exist but aren't built for construction.** Generic project management software ignores the realities of field work — plan sets, per-page takeoffs, scope changes mid-build, subcontractor coordination.\n\n Contractors end up duct-taping tools together and paying the price in margin and stress.\n\n**The result:** Jobs are won with incomplete bids, managed with ad-hoc systems, and closed with manual paperwork that eats hours contractors don't have.\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/0cdecb42-5772-4e1d-81d1-1d7fb87db86d)\n\n# **🙌 Our Solution: One Platform for the Entire Job**\n\nScout Out is a single platform that handles the full lifecycle of a construction job — from first estimate to final invoice — with AI doing the heavy lifting.\n\n### Job & Customer Hub 🏗️\n\nEverything lives in one place, organized around the job:\n\n* Customer records and full contact history\n* All uploads in one place: plans, photos, permits, contracts, and insurance\n* Status tracking across every deliverable and milestone\n* Every conversation, change order, and document tied to the right job\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/ffbb3afc-3a3e-425d-800a-23c7fc95413a)\n\n### Instant AI-Powered Bidding ⚡\n\nWhen a contractor finds a project they want, ScoutOut generates a **clean, editable quote in seconds**.\n\n* Upload plans, photos, or a short description\n* AI produces a structured estimate covering scope, labor, and materials\n* Contractors can review, adjust, and send a professional bid immediately\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/cf8c8b3c-0744-4b8b-b092-16e0952bf102)\n\n### Built for Real Contractor Workflows 🔧\n\nScoutOut is designed for how contractors actually work:\n\n* No long setup or training\n* Quotes are editable and contractor-owned\n* Built to be used between site visits, calls, and active builds\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/f723d694-6721-4b5a-a80a-4bd39e691892)\n\n", "url": "https://www.ycombinator.com/launches/PMg-scout-out-run-your-construction-business-from-one-place", "votes": 9, "created_at": "2026-02-06T02:51:10.759Z" } ] }, { "id": 31461, "name": "Collar", "slug": "collar", "former_names": [ "Collar AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/35110e6bdfbfbf5706627685cbb370e170ff4a03.png", "website": "https://usecollarai.com", "all_locations": "San Francisco, CA, USA", "long_description": "We are a team of ex-intelligence, ex-finance, and most importantly, ex-founders who have known each other for over 5 years.\r\n\r\nCollar is redefining investor relations. \r\n\r\nRight now, investor relations is an under-appreciated yet sweeping function. \r\nThey have a bird’s eye view of what external stakeholders want, and also work with internal business units to create a grand vision of a company’s future.\r\n\r\nBut they’re doing it with their hands tied behind their back.\r\n\r\nFinance AI tools today are built for investors not investor relations, leaving teams using ad-hoc unreliable workarounds, and CFOs are stuck always reporting rather than acting on insights to optimize operational workstreams.\r\n\r\nBefore earning calls, Collar prepares CFOs through proactive earnings calls prep, investor targeting and fully citation-backed live teleprompters, saving them hours of work.\r\n\r\nAfter earning calls, CFOs use Collar’s trusted agentic AI systems to optimize identified underperforming workstreams with little manual modification needed. \r\n\r\nRedefining investor relations from a tedious cost centre headache, into a whole-of-company profit maximising function.\r\n", "one_liner": "AI-Native Investor Relations", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1777111023, "tags": [ "Generative AI", "Finance", "Enterprise", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/collar", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/collar.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/in/kazel-koh-en-yang-811172186/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/35110e6bdfbfbf5706627685cbb370e170ff4a03.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a7b196143aabccefde2125bed1293d94ee1ce90f.png" ], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [ { "user_id": 527234, "full_name": "Kazel Koh En Yang", "title": "Founder/CEO", "founder_bio": "CEO/Co-founder at Collar (YC F26)\n\nI co-founded a deep tech health-tech startup at 16 (triaging post-cataract surgery complications) as CEO as the only non-grad researcher under the National Graduate Research Innovation Program. Concurrently I became a patented inventor as the first and only Masayoshi Son Foundation (Softbank) scholar from Singapore, inventing a new chess-based technique to hacking.\nGIC Scholar (Singapore's Sovereign Wealth Fund), Ex-Private Credit, Ex-Military Intelligence.\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kazel-koh-en-yang-811172186", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/69f13742bc25d13a6c4ad5737bae1c5fbd7c765d.jpg" }, { "user_id": 1147891, "full_name": "Jamie Yau", "title": "Founder/COO", "founder_bio": "COO/Co-founder at Collar (YC F26), building AI for public company investor relations. Previously Chief of Staff at one of Southeast Asia's largest billion-dollar asset manager. Before that, COO of Singapore’s largest youth-in-tech organisation leading a team of 80+, fellow at the U.S. Department of State, and the youngest contractor for the Singapore military. Ex-HS valedictorian. Started first company at 18. \n\nFrom the little red dot (Singapore), a decent golfer, and a wannabe chef. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jamiey3u/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a756280f98b60b685f9f7dc9991c3d9f03ac7a18.jpg" } ], "jobs": [], "news": [ { "title": "Singapore start-up Collar AI by poly grads makes it to Y Combinator | The Straits Times", "url": "https://www.straitstimes.com/world/united-states/from-little-red-dot-to-silicon-valley-singapore-start-up-by-poly-students-makes-it-to-y-combinator", "date": "Aug 07, 2026" } ], "launches": [ { "id": 117940, "title": "Collar: The AI for public company Investor Relations", "tagline": "Find the right investors. Prepare for earnings. Answer analyst questions live with approved company information.", "body": "Collar is the AI for public company investor relations.\n\nIR teams must know the whole company, its investors and the market. That knowledge lives across spreadsheets, emails, transcripts, teams and data providers.\n\nCollar turns mess into momentum. \n\n**Turns company context into a live teleprompter for the CEO**\\\nCollar's teleprompter surfaces the right figure, commitment or approved line the moment a question lands. Management answers with precision on every earnings call.\n\n**Turns repeat questions into instant answers**\\\nCollar's Q&A bot lives on your IR website and answers investor questions from your filings, transcripts and approved messaging. Anything sensitive goes to IR’s inbox first.\n\n**Turns memory into meetings that matter**\\\nCollar remembers every investor relationship since your IPO. It shows you a CRM of who to meet, why now, and gives you a brief before you walk in.\n\n**Turns scattered data into decisions**\\\nCollar reconciles conflicting information across departments, resolves who and what each data point refers to, checks freshness, so management can use an answer without having to manually verify it again.\n\nKazel and Jamie are second time founders with backgrounds in buy side investing and military intelligence. For two years, they have built AI that gathers intelligence from hard to reach places and turns it into action. They know how investors think because they have sat on that side of the table.\n\nSend us your ticker on [usecollarai.com](http://usecollarai.com)\\\nWe'll send you 10 portfolio managers you should target next quarter.", "url": "https://www.ycombinator.com/launches/UgG-collar-the-ai-for-public-company-investor-relations", "votes": 2, "created_at": "2026-10-06T18:00:00.095Z" } ] }, { "id": 31545, "name": "Modern", "slug": "modern", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc2a391c24694c5a70f0448e5a56886ff59f5cdc.png", "website": "https://getmodern.ai", "all_locations": "Melbourne, VIC, Australia", "long_description": "Modern is the AI coworker that automates the full order-to-cash journey for global finance teams. ", "one_liner": "Modern automates the entire order-to-cash process for B2B companies.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1775918136, "tags": [ "Finance", "B2B", "Enterprise", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "Australia", "Oceania" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/modern", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/modern.json", "year_founded": 2026, "city": "Melbourne", "country": "AU", "linkedin_url": "https://www.linkedin.com/company/modernhq", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc2a391c24694c5a70f0448e5a56886ff59f5cdc.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": 1854581, "full_name": "Seb Poole", "title": "Founder/CEO", "founder_bio": "Building the AI-native ServiceNow.\n\nSerial founder, most recently Frankie now Unmind (Disney, Uber, Lendlease, the MLB as customers, 100m+ raised).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/seb-poole/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d9f95185b77eb69716b5e6e6be2b6c680e98740f.jpg" }, { "user_id": 1862452, "full_name": "Aleks Tomovski", "title": "Founder/CTO", "founder_bio": "I've spent 15+ years building developer platforms, starting as part of the core team on Wix Code (now Wix Studio), where we helped empower millions of citizen developers before it was a buzzword. I then scaled a startup through Southeast Asia, before joining Canva where I led their internal developer platform. \n\nI left to co-found Modern with Seb, bringing the same platform-building instincts to IT automation.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/atomovski/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53bde24f2b11eaa6b7c973874410330dff73bc2e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101078, "title": "Modern: the AI-native IT function", "tagline": "Secure agents that automate help desk, access, on/off-boarding, hardware, security, and procurement in the channels your team already uses", "body": "**TL;DR:**[ Modern](https://getmodern.ai) is consolidating the IT function into a single platform powered by secure agents who understand your business. Help desk, access, hardware, on/off-boarding, security, procurement are automated end-to-end inside the channels your team already uses (Slack, Teams, Email, Voice, WhatsApp, Telegram).\n\nLaunch video:\\\n\n\n**The problem**\n\nWe've spent over a decade buying and implementing clunky IT software (ServiceNow, Jira SM, Ivanti, Zendesk), staffing internal teams, and paying expensive MSPs to keep operations running. Seb previously co-founded Frankie/Unmind, Europe's leading digital mental health company (used by Disney, Uber, Lendlease, Standard Chartered, and the MLB). Aleks has been building developer platforms and scaling engineering teams at Wix and Canva, including Wix's first low-code platform.\n\nToday's ITSM platforms take months to implement, need weeks to design rigid automations, can't improve over time, and have always been hard to leave.\n\nSo we asked: what would this stack look like if it were AI-native from day one?\n\n\\\n**What is Modern**\n\nAn all-in-one secure IT function, Modern splits reasoning from actions which enables the unlock for secure AI in IT.\n\n* Requests are made in the tools where your team works → Slack, Teams, email, voice, WhatsApp, Telegram.\n* Agents reason about each ticket, and the actions they take are separate, code-based workflows derived from your SOPs, written in natural language, or installable skills you approve.\n* Every interaction feeds Modern to better understand your IT operations so automation coverage compounds over time.\n\nModern is for you if:\n\n* The Engineering or Operations teams are handling your IT requests\n* IT tickets pile up faster than your team can clear them\n* Access requests crawl through approval chains (manager → Finance → IT → resolved a week later)\n* On/off-boarding is manual, error-prone, and takes time\n* Compliance and audit prep means stitching logs together from a dozen disconnected tools\n* You’re concerned about security across your growing business\n* Hardware procurement and lifecycle still lives in spreadsheets\n* Your existing ITSM is rigid, expensive, and hasn't gotten smarter since the day you bought it\n* You're paying an MSP for repeatable work that should be automated and running 24/7\n\nWe currently see 80%+ automation across IT team requests.\n\n**If you're without an IT Team**\n\nWe'll get you set up, compliant, and running with a fully outsourced IT function. Book a time → .\n\n**If you're without an IT Service Management platform**\n\nAlternatively we are a completely standalone ITSM platform and would love to help you automate your internal IT/Operational requests. Book a time → .\n\n**If you're on ServiceNow, Jira SM, or any traditional ITSM/ESM**\n\nWe can sit on top of your existing ITSM/ESM platforms and automate 80%+ of the requests that come through these platforms. Live in a day. Book a time → .\n\nConnect with us to follow the journey:\n\n* [https://www.linkedin.com/in/seb-poole](https://www.linkedin.com/in/seb-poole/)\n* [https://www.linkedin.com/in/atomovski](https://www.linkedin.com/in/atomovski/)\n\n**Modern in practice**\n\nModern lives inside the channels your team already uses\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/79e50fc8-c03c-4587-8840-881df31f9c7b)\n\nThey think about the tools and path to resolve the request:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/27a3b0aa-09c8-4230-a30a-76cc6cb4f99a)\n\nUsing secure deterministic workflows built via SOPs, natural language or suggested workflows derived from your data:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/e31e6190-aec5-4c69-b588-6ef6ff2de202)\n\nModern builds an understanding of your company’s decisions, actions, personnel and employee requests:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/b39758ec-3c90-404f-8b4a-538d7c415e1d)\n\nAnd via this understanding and your company’s knowledge base, more suggestions for both simple and complex resolutions are made:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/b8413f15-525f-4d34-9dfe-23f1b1eb4071)\n\n", "url": "https://www.ycombinator.com/launches/QII-modern-the-ai-native-it-function", "votes": 6, "created_at": "2026-05-12T01:01:57.187Z" } ] }, { "id": 31562, "name": "Cohesion", "slug": "cohesion", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a85ed9b4f8c87d919e87f4a7838af368b02f0f94.png", "website": "https://cohesionplatform.com/", "all_locations": "New York City, NY, USA", "long_description": "Cohesion is building the modern system of intelligence for financial analysts. Cohesion believes that the way financial research is done is changing. Teams that leverage AI better understand their research, can cover more scope, and make better decisions.\r\n", "one_liner": "Modern Intelligence for Finance", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1776132340, "tags": [ "Finance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "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/cohesion", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/cohesion.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cohesionplatform/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a85ed9b4f8c87d919e87f4a7838af368b02f0f94.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": 2959783, "full_name": "Devon Krapcho", "title": "Founder/CEO", "founder_bio": "Co-Founder and CEO of Cohesion, former hedge fund analyst for 5+ years at Long Path Partners covering software companies ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/devon-krapcho-439a7498/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2f9a3e43456dcc4c8c68b652f439a3c82424eb30.jpg" }, { "user_id": 1346140, "full_name": "Matthew McBrien", "title": "Founder", "founder_bio": "Co-Founder of Cohesion. Eliminating market inefficiency. Prev. AWS, Security @ Amazon", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matthew-mcbrien-784b32116/", "x_url": "https://x.com/mmcbrien4", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f078fa8ab9b669d75d3fae5cdf7ca60e901db9b7.jpg" }, { "user_id": 2975201, "full_name": "Matt Munns", "title": "Founder", "founder_bio": "Co-Founder of Cohesion (YC P26). Prev. building AI for investors at T. Rowe Price", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matthew-munns-98727b138/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/48b70c6afcafea9cb8c2b7bde96be0763fb8b984.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 99818, "title": "Cohesion: Your public equities agentic teammate", "tagline": "A team of AI agents that monitor the companies you cover and generate differentiated insights.", "body": "[Cohesion](https://cohesionplatform.com/) is your public equities agentic teammate.\n\nCohesion agents track earnings, news, and non-traditional datasets like podcasts and X/Twitter.\n\nToday’s tools require querying, endless reading, and manual search across decade-old platforms that aren’t capturing the most important datasets.\n\nWe built a team of AI agents that monitor the companies you cover and generate differentiated insights. The result? Captured alpha, less time searching “why is $stock down”, automated idea generation - all in a system purpose-built for public equity investing that doesn't require manual setup.\\\n\\\n\n\nToday, Cohesion is live with 10+ long/short and long-only fundamental equity funds managing a combined $10Bn+ AUM. Built by a team with 10+ years of public markets investing experience.\n\nIn advance of the upcoming earnings season, we’re offering limited early trial access. Take 2 minutes to send 20 tickers and have the easiest earnings season of your career:[ https://cohesionplatform.com/#start-free-trial](https://cohesionplatform.com/#start-free-trial)", "url": "https://www.ycombinator.com/launches/Pxy-cohesion-your-public-equities-agentic-teammate", "votes": 25, "created_at": "2026-04-16T16:56:39.117Z" } ] }, { "id": 32154, "name": "Zomma", "slug": "zomma", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/019855257e473ab4938156b12e16e4a3214a2f51.png", "website": "https://zommalabs.com", "all_locations": "San Francisco, CA, USA", "long_description": "Zomma is building the AI workforce for financial services with computer-use agents that onboard like humans and scale like compute. Its agents handle KYC reviews, transaction alerts, and disputes on the same screens human analysts use, no integration.", "one_liner": "The AI BPO for financial servies, run by computer-use agents", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1783572526, "tags": [ "Robotic Process Automation", "Finance", "B2B", "Workflow Automation", "AI" ], "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/zomma", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/zomma.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/zomma", "x_url": "https://x.com/ZommaLabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/019855257e473ab4938156b12e16e4a3214a2f51.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b2b79e62b805cf93e198d9b3d4b6342664e73d7c.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 3128623, "full_name": "Jihyun Kim", "title": "Founder/CEO", "founder_bio": "Founder at Zomma (YC S26). Launched $1B Hedge Fund as the Founding Team and Head of Product. Scaled Asia's largest wealth tech (now $10B+ AUM). Second time founder. Ex-Goldman Sachs. Cornell and NYU Abu Dhabi.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kimjihyun/", "x_url": "https://x.com/jihprobs", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/67617ac3a534465e42aa00e5e395beaed235f970.jpg" }, { "user_id": 3597712, "full_name": "Varun Arumugam", "title": "Founder", "founder_bio": "Founder at Zomma (YC S26). Previously Founding ML Engineer at Bronco AI building agents for chip design verification. SWE at Apple on verification infrastructure. MS and BS in Electrical and Computer Engineering from UT Austin.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/varunarumugam/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/526b6e3a7761d998cfb1049aab57c89fa1f3cd11.jpg" }, { "user_id": 3627790, "full_name": "Cashel Fitzgerald", "title": "Founder/CTO", "founder_bio": "Co-founder at Zomma. Master's in Computer Science from Cornell. Built SOTA aerial object detection systems at Modern Intelligence. Previously engineered backend systems at 8am supporting $300M+ annual revenue and $20B+ yearly transactions. Trains VLMs for computer use.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cashelfitzgerald", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/69c3f4c9b45abfcd2073a8a53036f40eba0a1ce1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110619, "title": "Zomma: AI operations employees for finance back offices", "tagline": "Computer-use agents that work cross-border transaction alert investigations end to end: collect evidence, produce an assessment, draft an RFI.", "body": "We're building Zomma: AI operations employees for finance back offices, starting with cross-border transaction alert investigations.\n\n**TL;DR:** Zomma agents work directly inside the software your ops team already uses. No APIs, no integrations. For every cross-border alert, the agent gathers the evidence, writes the draft assessment, and drafts the RFI, end-to-end. Running live compliance-ops pilots with a US RIA and a $10B AUM wealth tech. 92% on OSWorld.\n\n\n\n## **The problem**\n\nCross-border payments trip more monitoring rules than anything else in the queue: sanctions name hits on foreign counterparties, high-risk corridors, first-time beneficiaries. Most alerts are false positives (McKinsey: over 90% in transaction monitoring), but every one still needs to be investigated. 20 to 60 minutes per case, across five or six systems, several with no API at all. And the evidence that clears them sits in foreign company registries and local-language adverse media. \n\nSo review capacity scales the only way it can: hiring. When hiring lags volume, alerts pile into backlogs that take months to clear, and backlogs are what regulators fine: $3.8B in AML penalties last year alone.\n\n## **What Zomma does**\n\nZomma agents work the queue on the same screens your analysts use: case manager, screening tool, admin panel, inbox, web search. Onboarding looks like hiring: an SOP and a login.\n\nOn a transaction monitoring alert, the agent\n\n* pulls the KYC profile and payment history\n* verifies the invoice and researches the counterparty, including registries you can only search by hand\n* writes a case-specific assessment with every claim cited to the source screen\n* drafts the RFI when documents are missing\n\nEvery step is logged and replayable: timestamped screenshots of every page checked, numbered citations, explicit no-match statements, a screen-by-screen trail an examiner can follow.\n\n## **Why start with cross-border alerts**\n\nIf an employee can do it on a screen, Zomma can learn it: the rest of the compliance queue, payment disputes, client onboarding, trade ops. Cross-border alerts come first because they have the exact shape our agents are best at: high-volume, parallelizable work that needs real reasoning but follows a defined workflow to a documented disposition. They're also the hardest cases to automate any other way: the evidence lives in registries and portals that will never have APIs. And agents scale with the queue: a volume spike means provisioning two more that afternoon; a BPO batch takes a month to train.\n\nComputer-use agents only recently got accurate enough to trust with a live queue, which is why we're building this now. Our state-of-the-art computer-use harness with our procedural and workflow memory system scores 92% on OSWorld.\n\n## **Team**\n\n* **Jihyun (CEO):** founding team at a Blackstone-backed hedge fund, scaled Asia's largest wealth tech, Goldman engineer.\n* **Cash (CTO):** backend systems behind $20B+ in yearly transactions, trains VLMs for computer use.\n* **Varun (CPO):** high-performance infra at Apple, design-verification agents at Bronco AI (YC S23).\n\nSend us \\~100 closed cross-border alerts and we'll show you what the agent would have done with them, or book a call: zommalabs.com/call.", "url": "https://www.ycombinator.com/launches/SmB-zomma-ai-operations-employees-for-finance-back-offices", "votes": 76, "created_at": "2026-08-18T16:00:00.082Z" } ] }, { "id": 32191, "name": "Lyon", "slug": "lyon", "former_names": [ "Lyon (Branding TBD)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/27ce3fff3af03da64bc8cfefeb3efef7b6d080b7.png", "website": "https://lyon.so", "all_locations": "San Francisco, CA, USA", "long_description": "Lyon builds private foundation models for banks, insurance companies, and fintechs. Each model learns from the company’s proprietary transactions, payments, clicks, and customer interactions to predict credit, fraud, collections, income, churn, and lifetime value; and runs inside the company’s cloud, so its data and intelligence remain under its control. Lyon is already working with a major insurer and trained a model on 28B transactions for a fintech serving tens of millions of active users, identifying premium-card converters 4x more precisely than its existing rules; the model is now being deployed for credit.", "one_liner": "Foundation models on enterprise transaction data.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1786694987, "tags": [ "Machine Learning", "Finance", "Data Science", "Big Data" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/lyon", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/lyon.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lyon-ai/", "x_url": "https://x.com/gabrielnoya7", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/27ce3fff3af03da64bc8cfefeb3efef7b6d080b7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1690305, "full_name": "Gabriel Noya", "title": "Founder/CEO", "founder_bio": "Stanford EE and CS 26'", "is_active": true, "linkedin_url": "https://linkedin.com/in/gabriel-noya", "x_url": "https://x.com/gabrielnoya7", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4af339e08470b73536f535219d74828f249a98b7.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 32222, "name": "Audun", "slug": "audun", "former_names": [ "Solvva" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e7da249d05c3b78e6493d6546cc70a78c450280f.png", "website": "https://audun.co", "all_locations": "Oslo, Oslo, Norway", "long_description": "Audun automates debt collection.", "one_liner": "AI-native debt collection company", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1786093910, "tags": [ "Fintech", "Finance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Fintech" ], "regions": [ "Norway", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/audun", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/audun.json", "year_founded": 2026, "city": "Oslo", "country": "NO", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e7da249d05c3b78e6493d6546cc70a78c450280f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Vivian Midha Shen", "url": "https://www.ycombinator.com/people/vivian-midha%20shen" }, "founders": [ { "user_id": 3587634, "full_name": "Jacob Hambro", "title": "Founder/CEO", "founder_bio": "Founder at Audun. Previously consultant at McKinsey & Company. Holds a MSc in Computer Science & Finance from NTNU.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jacob-hambro-70a9b1153/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5fd98a82faf0f9b01a9675f4b4cbce1e3332c7b7.jpg" }, { "user_id": 3632034, "full_name": "Magnus Vonen", "title": "Founder", "founder_bio": "Founder at Audun (YC S26), building AI-native debt collection. Previously at McKinsey & Company, advising on go-to-market strategy and AI. Before that, four years as an operator in Norwegian special forces, including overseas deployments. Economics at NHH (Norwegian School of Economics)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/magnus-nj%C3%B8lstad-vonen-518945208", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dcea88c387054dd5fdfdfacef04c7a032a94d818.jpg" }, { "user_id": 3649218, "full_name": "Henrik Brun Fevang", "title": "Founder", "founder_bio": "MSc in Computer Science and Artificial Intelligence. Previously a full-stack software engineer and architect at PwC, building software infrastructure and data platform for SINTEF, one of Europe’s largest research institutions. Previous full-stack engineering experience at Oda and Airthings.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/henrik-brun-fevang-8b5b18195", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/46d31d5e3c94ede241e440fdc92dff2df6c88006.jpg" }, { "user_id": 3414987, "full_name": "Peter Flo", "title": "Founder & Chief Scientist", "founder_bio": "Founder & Chief Scientist at Audun. Previously Special Projects at Midjourney and a graduate researcher at MIT. MS in Data Science from Harvard, dual B.S. from UC Berkeley. More at pflo.org.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/peterhollevik", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6cde847c6e23c09b48938d4f381e4b99258eeffe.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111293, "title": "Audun: AI-native debt collection", "tagline": "Full-stack AI debt collection company", "body": "A letter arrives in the mail.\n\nImpossible to understand.\n\nAnother one.\n\nThen the phone calls start.\n\nOnce a day. Unpleasant, sometimes hostile.\n\nThis is how debt collection works in 2026.\n\n**We’re here to fix it.**\\\n\\\n[https://drive.google.com/file/d/1X9mVp2ZyJMUhCcHN6NadzMNLV5S63Wpv](https://drive.google.com/file/d/1X9mVp2ZyJMUhCcHN6NadzMNLV5S63Wpv/view?usp=sharing)\n\n# TL;DR\n\nAudun is an AI-native debt collection company. Our agents automate the collections process end to end, from reminders and negotiations to back-office and legal work. This reduces collection costs for creditors, and enables humans to spend their time on the conversations that matter.\n\n![uploaded image](/media/?type=post&id=111293&key=user_uploads/3587634/839f47e4-cdd7-45ed-befd-c621930fef65)\n\n# Ask\n\nWe’re looking for introductions to collection leaders at banks, lenders, utilities, telcos, and other high-volume creditors.\n\n# The problem\n\nThe debt collection industry is broken. It runs on call centers, paper letters, and software built in the 90s. While the rest of the world is preparing for AGI, the topic of the industry is still email and cloud.\n\nAll these inefficiencies ultimately end up with the consumer: incomprehensible letters arriving by snail mail, hostile phone calls, and fees stacking up on a bill they may never have seen. They're paying the cost of an archaic system.\n\n# The solution\n\nAudun is an AI-native debt collection company. We automate up to 90% of cases across the whole business, from front to back office. Our agents manage reminders, negotiations, payment plans, and settlements across voice, SMS, email, and WhatsApp. They operate within creditor-defined rules, log every action, and escalate sensitive cases to humans with the full context attached. Behind the scenes, they handle tasks such as skip tracing, payment verification, and legal document drafting.\n\nBy automating the grunt work of collections, Audun lowers collection costs for creditors and, ultimately, borrowing costs for consumers. We enable people to focus on the conversations that matter, where human judgment is still required, giving customers the treatment they deserve.\n\nWe started out in the Nordics, which has some of the strictest collections regulation in the world. Compliance is critical in this industry, so we built our agents to handle the toughest version of it first. \n\n# Who we are\n\nWe’re four founders with experience across McKinsey, Midjourney, and Norway’s first unicorn. We’ve seen firsthand how manual this industry is, and how stuck the incumbents are. We decided to build the company this industry needs from the ground up.\n\n![uploaded image](/media/?type=post&id=111293&key=user_uploads/3587634/fbfdfe9e-490e-4603-ad97-15b8ead694a6)\n\n", "url": "https://www.ycombinator.com/launches/Sx3-audun-ai-native-debt-collection", "votes": 8, "created_at": "2026-08-24T16:00:00.405Z" } ] }, { "id": 32254, "name": "Prodigy Research", "slug": "prodigy-research", "former_names": [ "Prodigy AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a2db1ee59cf597cd664444e784ae76e1f753d775.png", "website": "https://prodigy.markets", "all_locations": "San Francisco, CA, USA", "long_description": "Prodigy is the frontier AI trading research lab. We've trained the world's best foundation model for quantitative finance. We've already achieved more than 100% returns in live trading over the course of our YC batch, doubling our capital while major indices were flat. Our founders previously worked on a trading desk at Jane Street, trained frontier AI models at Google DeepMind and shipped cutting-edge AI at Apple to billions of customers. Join us as we use AI to solve the market.", "one_liner": "Training the world's best AI model for quantitative finance.", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1786153448, "tags": [ "Reinforcement Learning", "Finance", "Investing", "Trading", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/prodigy-research", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/prodigy-research.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/prodigy-markets", "x_url": "https://x.com/realProdigyCorp", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a2db1ee59cf597cd664444e784ae76e1f753d775.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 3174989, "full_name": "Michael Wang", "title": "Founder/CEO", "founder_bio": "Founder and CEO at Prodigy Research (YC S26). Previously Senior Researcher at DeepMind, training and shipping AI models powering Google products with billions of monthly users. Before that, worked on a trading desk at Jane Street, one of the most prestigious and profitable trading firms in the world.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michael-w-02810b161/", "x_url": "https://www.x.com/michaelwangelo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/011ab6f302bb5ee939865ee4899d28ee9ea6acd8.jpg" }, { "user_id": 3203618, "full_name": "Yuhua Wang", "title": "Founder/CTO", "founder_bio": "Founder and CTO at Prodigy Research (YC S26). Previously shipped cutting-edge AI models and agents at Apple to billions of customers. Before that, built Salesforce's flagship AI platform serving hundreds of millions of user requests every day.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yuhua-w-64348a66", "x_url": "https://x.com/yuhuawan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ab0305694f8e67bd288110245604bf4db4e3a31.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109747, "title": "Prodigy: The Frontier AI Trading Research Lab", "tagline": "Training the world's best foundation model for quantitative finance", "body": "**TL;DR** Prodigy Research is an AI lab that has trained the world's best foundation model for quantitative finance. We’ve already achieved 140% returns in live trading over the course of our YC batch, while major indices like the S&P 500 and the Nasdaq were flat or down.\n\n**Traction**\n\n![uploaded image](/media/?type=post&id=109747&key=user_uploads/3203618/c02ef51e-f0e4-43b8-a335-b55e66d5afd2)\n\nOur model beats Claude Fable and GPT-5.6 Sol at financial and quant research tasks. Prodigy's strategies are delta-neutral, and thanks to our rigorous and comprehensive risk controls, we've never had a down week.\n\n\n\n**Why Now**\n\nTrading firms generated hundreds of billions in profit last year, and this number is growing quickly YoY. Global financial markets now exceed $175 trillion in value across equities, derivatives, and digital assets. Prodigy's agents find new opportunities and alpha in the financial markets faster than any team of human quant researchers.\n\n![uploaded image](/media/?type=post&id=109747&key=user_uploads/3203618/31e0abc2-381b-4cdb-8d4f-86498b669b39)\n\n**The Team**\n\nOur founders are two brothers who left seven-figure jobs to build the future of quant trading. We bring together over 16 years of combined experience in quantitative finance, frontier model research, and large-scale AI infrastructure. Michael was a senior researcher at **Google DeepMind**, where he trained SoTA foundation models. He previously worked at **Jane Street**, one of the world’s most successful quantitative trading firms. Yuhua built cutting-edge AI at **Apple** serving **billions of users** across the world.\n\nA new era has arrived in the world of quantitative finance. To learn more, contact [founders@prodigy.markets](mailto:founders@prodigy.markets).", "url": "https://www.ycombinator.com/launches/SY7-prodigy-the-frontier-ai-trading-research-lab", "votes": 34, "created_at": "2026-08-10T18:30:00.360Z" } ] }, { "id": 32286, "name": "Definite", "slug": "definite", "former_names": [ "Ledgix", "Bylaw" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ea163685b0ad74eaec6a19637a061cdb5e63acae.png", "website": "https://www.usedefinite.com", "all_locations": "San Francisco, CA, USA", "long_description": "Definite is where finance teams build everyday back-office agents on one live model of their books. We plug into your ERP, ledger, payroll, and payments read-only and compile everything into one clean model that stays current as money moves. Your back-office team then builds agents on top in plain English. We never write back and we never move money. The agents are yours, the plumbing is ours.\r\n\r\nWe met in first year computer science at Waterloo and interned at Meta, Optiver, and BitGo. At Optiver they ran an n8n hackathon and the interns automated basically nothing. It couldn't talk to the systems that mattered. When we pitched banks and fintechs on agents, they kept telling us the same thing. The agent isn't the hard part, getting clean data out of their systems is.\r\n\r\nRight now, automating anything in a back office means engineers hand-stitching data from a dozen sources in different formats on different schedules. Tools like n8n and Workato assume your data is already clean and joined. In finance it never is. So the teams with the most repetitive work and smallest budgets get nothing.\r\n\r\nThe hard part is the compiler. Every source gets cleaned, matched, and joined into one live model of transactions, invoices, vendors, and payments, and it has to stay right as money lands every day. \r\n\r\nEveryone throws engineers at this. We're doing it once so nobody has to again. Every back office is getting agents eventually. Whoever owns the data they read from owns the thing all of them depend on, and eventually the books themselves. That's what we're building.\r\n", "one_liner": "Build everyday back-office agents on one live model of your books", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1782681224, "tags": [ "Fintech", "SaaS", "Finance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "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/definite", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/definite.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/usedefinite", "x_url": "https://x.com/UseDefinite", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ea163685b0ad74eaec6a19637a061cdb5e63acae.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2947446, "full_name": "Gurshabd Singh Varaich", "title": "Founder/CEO", "founder_bio": "Founder & CEO at Definite (YC S26). Previous SWE intern at BitGo (pre-execution wallet policy and approval controls). Studied CS at UWaterloo", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gvaraich/", "x_url": "https://x.com/gurshabdv", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f208520804de89eb57bd0ffaecc678ab08e70e04.jpg" }, { "user_id": 2947432, "full_name": "Mazin Al-Ani", "title": "Founder", "founder_bio": "Founder at Definite (YC S26). Previously SWE intern at Optiver (quantitative trading systems) and Boosted.ai (agentic AI platform for financial analysts). Studied CS at University of Waterloo.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mazinalani/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/61a124dc48094fbc0085b19ae79a8f71f1cc6f19.jpg" }, { "user_id": 1563459, "full_name": "Farhan Ur Rehman", "title": "Founder", "founder_bio": "Founder at Definite (YC S26). Previous SWE at Meta (Instagram reels recommendation). Studied Statistics at University of Waterloo.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/farhan-ur-rehman/", "x_url": "https://x.com/re__farhan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bbb1704fb2da8fe5afeb297c7a36c7091072108e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 105798, "title": "Definite - Turn weeks of regulatory reports into hours.", "tagline": "The most accurate AI agents for financial reporting", "body": "_AI agents that run the entire regulatory reporting pipeline for banks, from raw ledger data to the filed report._\n\n**_TL;DR_**_: Definite automates regulatory reporting for banks end to end, from raw ledger data to filed report, turning weeks of manual work into hours._ [usedefinite.com](http://usedefinite.com)\n\nHey! We're Gurshabd, Mazin and Farhan from Definite.\n\n\n\n**The Problem**\n\nProving to regulators that their books follow the rules is a constant, non-negotiable obligation for banks. Each report is thousands of numbers, personally signed off by an executive. Getting it wrong can mean a **fine up to a million dollars** over a single undetected error. Producing that proof is slow, and doesn't even guarantee it's correct. \n\nHere's where the current system breaks down:\n\n1. **Wasted Hours:** A controller pulls data from the core system into Excel and maps it line by line by hand. By regulators' own estimate, one quarterly filing takes weeks of employee time, time pulled from higher-value finance work every quarter.\n2. **False Confidence:** The software banks use to file checks formatting, not truth. A loan mapped to the wrong schedule line sails through every check. Nothing catches it until an examiner does, and by then it's not a mistake, it's a violation.\n\n**The Solution**\n\n**Report agents:** We connect to your books and our agents build the reports you owe.\n\n**Verification engine:** Every number is recomputed from source records and checked against a versioned rulebook, so each line carries its rule and source data.\n\n**Self-correcting agents:** When a check fails, the agent gets the reason and fixes it in seconds. Real exceptions come to your team with a drafted explanation, not a blank error. This loop is why our agents are the most accurate in finance.\n\n**Receipts:** Every check produces a tamper-evident receipt you can hand an examiner or auditor.\n\nYour team reviews and signs instead of building.\n\n**How we got here**\n\nGurshabd worked at BitGo, a regulated crypto custodian, where attestations proving customer assets matched the ledger were built by hand every period. Farhan worked at Meta where he delved extensively into machine learning and building AI agents. Mazin saw Optiver recheck daily regulatory numbers by hand, then built LLM agents at [Boosted.ai](http://Boosted.ai) and learned finance people won't act on AI output unless every number comes with its source.\n\nThe lesson from all three: in finance, producing a number is cheap, proving it is the job. On two public reporting benchmarks, DeepSeek V3 with our verification engine outperformed GPT-5 on reconciliation accuracy (FinBalance) at roughly 50× lower cost, and beat the entire published field on XBRL calculation validation (FinAuditing).\n\n![uploaded image](/media/?type=post&id=105798&key=user_uploads/2947446/1b80714c-9a38-4d02-a037-ab05ad2c9205)\n\n**The Ask**\n\n* Work at a bank, credit union, fintech or insurer on regulatory filings? Let's talk: , or text me: +1 519-619-5467\n* We’d also love an intro to a VP of Finance or Engineering at your partner bank (personal or business)\n\nFollow us: [LinkedIn](https://www.linkedin.com/company/usedefinite/?viewAsMember=true), and [X](https://x.com/UseDefinite).\n\nWe'll be in the comments. [gurshabd@usedefinite.com](mailto:gurshabd@usedefinite.com)", "url": "https://www.ycombinator.com/launches/RWQ-definite-turn-weeks-of-regulatory-reports-into-hours", "votes": 10, "created_at": "2026-07-15T14:05:31.123Z" } ] }, { "id": 32520, "name": "Snowstone", "slug": "snowstone", "former_names": [ "Cerenovus" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5fd1252bd802d29775f848bb916f4456301ae679.png", "website": "https://snowstone.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Snowstone helps private equity firms drive operational value creation with AI. It's like a performance improvement engagement from a top consulting firm, but built from the company's own data, delivered in one week, and with every finding traced to its source. Today, private equity firms rely on consultants to find where portfolio companies can improve. That work depends on interviews and data requests, so the conclusions are secondhand, biased by internal politics and hard to check. Snowstone goes straight to the source data. It analyzes how a portfolio company actually operates and identifies automation potential, duplicated work, process bottlenecks and key-person risk, each quantified by its EBITDA impact.", "one_liner": "AI-Driven Value Creation and Margin Expansion for Private Equity", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1780900630, "tags": [ "Finance", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "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/snowstone", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/snowstone.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/snowstone-ai", "x_url": "https://x.com/Cerenovusai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5fd1252bd802d29775f848bb916f4456301ae679.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [], "jobs": [], "news": [], "launches": [] }, { "id": 32622, "name": "Rational", "slug": "rational", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/88c9150f7633337a9e66431f2838539b473b583f.png", "website": "https://rational.to", "all_locations": "San Francisco, CA, USA", "long_description": "Rational is building the first accounting firm with no humans. It's entirely run by our AI employees, who go from client intake to doing the books to filing with the IRS. We secure 90% cost reduction, 24/7 support, and an overall seamless experience for businesses.", "one_liner": "First Zero-human Accounting Firm", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1784172515, "tags": [ "Finance", "B2B", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "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/rational", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/rational.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rationalto", "x_url": "https://x.com/RationalDotTo", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/88c9150f7633337a9e66431f2838539b473b583f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1591705, "full_name": "Jibril Moinuddin", "title": "Founder/CEO", "founder_bio": "CEO at Rational. Previously founding engineer at Buckeye AI, TrueFoundry. Founded STEMplicity Education. Dropped out of University of Michigan. Non-Trivial Fellow.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jibril-moinuddin-32702b271/", "x_url": "https://x.com/JibrilAsif", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9218a0f71bb3d439dfb97ee0da080509800aefe7.jpg" }, { "user_id": 3411828, "full_name": "Christ Xu", "title": "Founder/CTO", "founder_bio": "CTO at Rational. Prev Youngest Tencent Senior SWE. 2x IOI Camp, IMO Camp, published algo researcher.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/christ-xu-687868298", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/23ba5c0e4852292e86dfe9667dd895b8c678ad64.jpg" } ], "jobs": [ { "id": 106940, "title": "Forward-Deployed Engineer", "url": "https://www.ycombinator.com/companies/rational/jobs/FGBkhzz-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $200K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 106941, "title": "Machine Learning Researcher ", "url": "https://www.ycombinator.com/companies/rational/jobs/vRTNbJi-machine-learning-researcher", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $200K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 106942, "title": "Software Engineering Intern", "url": "https://www.ycombinator.com/companies/rational/jobs/6ycNzJc-software-engineering-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$8K - $12K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 106944, "title": "Applied AI", "url": "https://www.ycombinator.com/companies/rational/jobs/u1XiPpU-applied-ai", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$120K - $200K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Rational Launches AI Employees for Accounting Firms", "url": "https://insidepublicaccounting.com/2026/07/17/rational-launches-ai-employees-for-accounting-firms/", "date": "Jul 17, 2026" } ], "launches": [ { "id": 114437, "title": "Rational - First Zero-human Accounting Firm", "tagline": "Agents will be trusted.", "body": "\n\n**We’re disrupting the disruptors.**\n\nYou’ve heard of so many AI accounting startups already. These new “AI-native” accounting firms are still designed to be run by humans in two facets: the first 25%, fostering client relationships, and the final 25%, signing off and filing with the IRS.\n\n**Josh Kushner’s company, Thrive Holdings, the largest disruptor in this space, explicitly argues that agents will never replace this** \\[1\\]**.** Their reasoning? Agents don’t carry trust.\n\nCurrently, agents are not trusted, humans are. That’s why every AI startup nowadays does the work, and leaves judgment to a human. But this is changing, and we’re early. As new agent-centric companies grow (Instinct, Natural, AgentMail), agents become common in daily life and work, and eventually will become trusted entities \\[2\\].\n\nOnce agents are trusted, there is no reason they cannot own entire, traditionally trust-heavy industries, end-to-end. Rational is building for that world.\n\n**Reach out to [founders@rational.to](mailto:founders@rational.to) or visit [rational.to](http://rational.to) if interested in learning more.**\n\n---\n\n\\[1\\] . A fraction of the market does care about trust and the human relationship with their accountant, but most of us definitely do not want to spend a second more with one than we have to.\n\n\\[2\\] These companies inherently bet on agents to proliferate in society. We also believe AI will continue to get better and safer. Since trust is achieved through consistent, positive actions, and it is in the interest of the entire tech industry for their agents to produce consistent positive actions, our firm will be the first to enjoy the principles to do concrete work in a massive market.", "url": "https://www.ycombinator.com/launches/Tll-rational-first-zero-human-accounting-firm", "votes": 22, "created_at": "2026-09-09T19:03:11.387Z" }, { "id": 112573, "title": "Rational - AI Employees for Accounting Teams", "tagline": "AI employees for in-house accounting teams", "body": "Rational builds AI employees for in-house accounting teams. They onboard themselves, handle real work within existing tools, and keep a human in control of every decision that matters. \n\nOur AI employees conduct interviews with each role on your team, creating a mental map of your workflows, inefficiencies, and who to route approvals to. After you connect them to your current stack, they simply do the work, 24/7. They learn from every single interaction and become more accurate over time — and their insights are completely isolated for your team. They’re truly your AI employees.\n\nWe’re live with major enterprise customers, including a Fortune Global 100.\n\n\n\nToday, we’re also releasing our Web Playground for early access.\n\n**Visit rational.to/book-demo to get access.**\n\nNot part of an accounting team but know someone in PE, advising, or accounting? We would love to talk. Email [founders@rational.to](mailto:founders@rational.to).", "url": "https://www.ycombinator.com/launches/THh-rational-ai-employees-for-accounting-teams", "votes": 3, "created_at": "2026-08-28T16:00:00.566Z" }, { "id": 106060, "title": "Rational: AI Employees for Accounting", "tagline": "24/7 hires to solve the talent shortage within your firm's existing stack", "body": "Rational builds AI employees for accounting and tax firms. They onboard themselves to your firm, handle real work within your existing tools, and keep a human in control of every decision that matters — so firms can finally say yes to the clients they've been turning away.\n\n\n\n_The problem_\n\nAccounting has an economics problem: demand is there, capacity isn't. Most firms turned away paying clients last year simply because they didn't have the people to do the work, and the talent pool keeps shrinking as accountants leave the profession faster than firms can replace them. More software hasn't fixed this — and a chatbot that summarizes a spreadsheet definitely hasn't. The parts of accounting that actually matter, like judgment, trust, and sign-off, should stay human. Everything around them shouldn't have to be a bottleneck.\n\n_Our solution_\n\nRational’s AI employees conduct interviews with each role on your team, creating a mental map of your firm’s workflows, inefficiencies, and who to route approvals to. After you connect them to your current stack, they simply do the work, 24/7. They learn from every single interaction and become more accurate over time — and their insights are completely isolated for your firm. They’re truly _your_ AI employees.\n\nRational already works with every firm size: from individuals to Fortune Global 500 companies. Doing everything from document-chasing to research to tax preparation, our employees supplement your firm’s labor without the significant onboarding curve or cost of a new hire.\n\n_Book a Demo_\n\nStop saying no to clients or retaining inefficiencies in your firm. Hire your first AI employees today, at .\n\nNot an accounting firm but know someone in PE, advising, or accounting? We would love an introduction. Email founders@rational.to.", "url": "https://www.ycombinator.com/launches/Rae-rational-ai-employees-for-accounting", "votes": 18, "created_at": "2026-07-17T17:45:59.589Z" } ] }, { "id": 32814, "name": "Computable", "slug": "computable", "former_names": [ "Hobby.Trade" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4778fcb121d43a885f6b39a13d66a2fe2364fb1a.png", "website": "https://getcomputable.com", "all_locations": "New York City, NY, USA", "long_description": "", "one_liner": "Derivatives Exchange for Compute", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1784612730, "tags": [ "Marketplace", "Finance", "Cloud Computing", "Trading", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/computable", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/computable.json", "year_founded": null, "city": "New York City", "country": "US", "linkedin_url": "", "x_url": "https://x.com/getcomputable", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4778fcb121d43a885f6b39a13d66a2fe2364fb1a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [], "jobs": [], "news": [], "launches": [ { "id": 110494, "title": "Computable: The Exchange for Physical Compute", "tagline": "the first exchange for physical compute where you can buy, sell, use, and hedge GPU capacity for exactly the dates you want", "body": "Hi, we're Computable, the first exchange for physical compute where you can buy, sell, and use GPU capacity for exactly the dates you want like staying on Airbnb. You pay less, commit less, and stay flexible.\n\n\n\n**The problem**\n\nCompute is the newest major commodity, but it still trades like an asset from the last century. You overpay going in and you eat the weeks you don't use.\n\n**How it works**\n\nWe put a public price on every week. Open the market and you'll see dedicated H100 nodes, every week through January 2027, each with its own price, from $2.55/GPU-hr. Pick a start week and an end week, and it's yours.\n\n* **Buy the exact weeks you need.** Two nodes for the last two weeks of October is just a few clicks, and you never pay for weeks you don't want.\n* **Sell back what you don't use.** If your plans change, sell the weeks back to the market whenever you want; we keep a market quote posted on every position.\n* **Lock next year at a price you can see.** January 2027 is on the grid today, so you know exactly what the future run costs before another H100 40% rate jump happens.\n* **Real machines, fast.** Dedicated H100 SXM nodes, full SSH root access, live within an hour of your window start.\n\n**Why us**\n\nOur founding team comes from Jump Trading, Coinbase, Citadel Securities, and other trading firms and exchanges. We have spent our careers building markets. Stay tuned for more products coming soon as we build out the financial infrastructure of the AI economy.\n\n**Our asks**\n\n* **Open [market.getcomputable.com](http://market.getcomputable.com) and buy GPU!**\n* **Tell us what to list next: GPU type, region, dates.** Email [team@getcomputable.com](mailto:ray@getcomputable.com); it directly sets what goes on the grid.\n* **If GPU prices move your margins or you are worried about your long-term contracts, email [team@getcomputable.com](mailto:ray@getcomputable.com).** We have a super cool product in pipeline for exactly this. Early testers get it first!", "url": "https://www.ycombinator.com/launches/SkA-computable-the-exchange-for-physical-compute", "votes": 26, "created_at": "2026-08-18T19:00:00.333Z" } ] }, { "id": 32914, "name": "Last Accounting Company", "slug": "last-accounting-company", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cf21d2add4951b9271177840cd785b32579fdb0f.png", "website": "https://lastaccountingcompany.com/", "all_locations": "Helsinki, Finland", "long_description": "Last Accounting Company (LAC) is a full-stack AI accounting firm. We sell the same service (bookkeeping, tax filings, etc.) as a traditional accounting firm, but underneath agents handle everything and a certified accountant signs off. Our service is faster, cheaper, and fully integrated, allowing our clients to focus on what matters, not accounting admin.\r\n\r\nLAC replaces both outsourced accountants and legacy accounting software for startups and SMBs. Our system is fully proprietary, from the general ledger to the accounting agents. This allows us to create powerful self-reinforcing loops and ultimately provide a state-of-the-art accounting service.", "one_liner": "AI-native accounting firm.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1784575015, "tags": [ "Fintech", "Finance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "Finland", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/last-accounting-company", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/last-accounting-company.json", "year_founded": 2026, "city": "Helsinki", "country": "FI", "linkedin_url": "https://www.linkedin.com/company/lastaccountingcompany", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cf21d2add4951b9271177840cd785b32579fdb0f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d8ee1ef9812e159b693b8ea9e2dca2f73efbf278.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 3677074, "full_name": "Sami Laakkonen", "title": "Founder", "founder_bio": "CEO & Co-Founder at Last Accounting Company. Built petabyte-scale data infra for clients incl. Google and Bloomberg. 2x Nordplus International Science Olympiad in Physics. Ex-fighter pilot training. CS dropout.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sami-laakkonen/", "x_url": "https://x.com/samilaa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c78fe557404b8f7ef13811329fbe25bb5f686606.jpg" }, { "user_id": 2422668, "full_name": "Riki Karjalainen", "title": "Founder", "founder_bio": "Co-Founder at Last Accounting Company. Previously built petabyte-scale data infrastructure at Token Terminal. Applied Mathematics at Aalto University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/riki-karjalainen-22a612189", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e6694a4980bf011635833fac045307bbc3efbf34.jpg" }, { "user_id": 3682484, "full_name": "Veikko Pere", "title": "Founder", "founder_bio": "Co-Founder at Last Accounting Company. Previously at BCG and private equity at Intera Partners with IB and law internships. M.Sc. Finance and M.Sc. Laws (ongoing).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/veikkopere/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/60197292925f48ab44361841ce811633735344c7.jpg" }, { "user_id": 3657494, "full_name": "Pietari Virkkunen", "title": "Founder", "founder_bio": "Co-Founder at Last Accounting Company. Prev. Tech/PE/VC. M.Sc. Industrial Engineering and Management at Aalto University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pietarivirkkunen/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/530764dc365306895ac5eeed832500b2759e5ef8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111616, "title": "The Last Accounting Company you’ll ever need", "tagline": "Agent-native accounting firm that replaces the legacy software and the outsourced service.", "body": "Hey YC 👋\n\nWe’re[ Riki](https://www.linkedin.com/in/riki-karjalainen-22a612189),[ Sami](https://www.linkedin.com/in/sami-laakkonen/),[ Veikko](https://www.linkedin.com/in/veikkopere/), and[ Pietari](https://www.linkedin.com/in/pietarivirkkunen/), the founders of[ Last Accounting Company](https://lastaccountingcompany.com/).\n\n**TL;DR**\n\n**LAC is the agent-native accounting firm. \\\nAI agents do the work and our (human) accountants validate all outputs.**\n\nWe replace both the traditional accounting firm and the legacy accounting software with one end-to-end service. Founders get current books, correct filings, and an always up-to-date general ledger, not another dashboard to operate.\n\n[https://drive.google.com/file/d/100N7xvBREGMXpbgnYOUNAiFqht0Gc3EA](https://drive.google.com/file/d/100N7xvBREGMXpbgnYOUNAiFqht0Gc3EA/view?usp=sharing)\n\n**🗃️ The problem**\n\nFounders didn’t start companies to learn accounting. Yet disconnected systems turn them into the human link between their accountant, bank, payroll, invoices, and internal tools.\n\nThey find and forward data, wait for questions, track down missing context, and repeat the cycle. By the time the books are closed, the numbers are often too old to guide day-to-day decisions.\n\n**🛠 Our solution**\n\nLAC connects directly to your bank, payroll, and internal systems. Our agents:\n\n* Keep the general ledger continuously up to date\n* Handle bookkeeping, invoices, payroll, and receipts\n* Prepare filings according to local requirements\n* Surface missing information and potential issues early\n\nOur expert accountants validate the work before anything is filed.\n\nLAC also connects financial data with the tools teams already use, including ERP, CRM, and product analytics. Through our Slack agent or MCP, founders can ask questions like:\n\n* What are our burn and runway?\n* How’s our cash flow looking for Q3? Can we afford a new hire?\n* Where did spending change this quarter?\n\n**Your books stop being only a filing obligation. They become the ground truth behind every decision.**\n\nUnlike accounting tools built for one task at a time, LAC is one system—from the general ledger to the accounting agents—and we operate the service ourselves.\n\nCustomers simply get their accounting done.\n\n**👥 The team**\n\nWe’re three technical builders and one finance-and-law brain. Riki and Sami previously built petabyte-scale financial data infrastructure at Token Terminal. Veikko brings experience from BCG, private equity, finance, and law. Pietari brings engineering and sales experience across tech, VC, and PE.\n\n**🙏 Our ask**\n\nRun a startup or SMB in Europe or the US, or know someone who does?\\\nWe’d love to show you what LAC can do! A one-line intro is enough and we’ll take it from there.\n\nEmail us at: [hello@lastaccountingcompany.com](mailto:hello@lastaccountingcompany.com)\\\nSign up or read more at:[ ](https://lastaccountingcompany.com/)[lastaccountingcompany.com](http://lastaccountingcompany.com)", "url": "https://www.ycombinator.com/launches/T2G-the-last-accounting-company-you-ll-ever-need", "votes": 70, "created_at": "2026-08-21T17:08:00.094Z" } ] }, { "id": 33023, "name": "Levocred AI", "slug": "levocred-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4211252c17df7b0a89dc9c36ce49996bef59474d.png", "website": "https://levocred.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Levocred AI build AI employees for lenders including credit funds, fintechs, credit unions & banks to automate operations like servicing/collections, underwriting, back-office tasks etc. ", "one_liner": "AI Workforce for lenders", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1782022398, "tags": [ "Finance", "B2B", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/levocred-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/levocred-ai.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/levocred-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4211252c17df7b0a89dc9c36ce49996bef59474d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 3179062, "full_name": "Mohit Gupta", "title": "Founder/CEO", "founder_bio": "Employee #1 at a credit fund that went from $10M to $1B AUM. Managed $200M at 23, evaluated $100B of loans. Ex Morgan Stanley fixed income. CS @ IIT Bombay, Finance @ UC Berkeley. Now building the Bloomberg of loans.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/guptamohit2299/", "x_url": "https://x.com/gupta_m0hit", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3ec48e4ead1bd6681f312cacd75cb1ddb691cd74.jpg" }, { "user_id": 1978755, "full_name": "Saksham Gupta", "title": "Founder/CTO", "founder_bio": "Founding engineer at a credit fund, where he built and scaled the trading and data infrastructure as the fund grew from $150M to $1B+ in AUM. EE @ IIT Kanpur", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gupsak", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d005e1efc44e74b6946d4413ff8c73a055def3b8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109810, "title": "Levocred: AI platform for credit funds, fintechs and banks", "tagline": "AI for credit funds, fintechs and banks", "body": "---\n\n**TLDR:** Levocred AI (YC S26) is an AI-native platform for credit funds, fintechs and banks to automate workflows like back-office tasks, portfolio monitoring, compliance and underwriting. Live across multiple credit teams, running \\~$1Bn in receivables through the platform.\n\n\\*\\*Video:\\*\\*\\\n\n\nThe winning teams will scale with token consumption, not headcount. Try it today: \n\n**The problem**\n\nCredit teams run on data scattered across 5-6 tools (CRM, LMS, data rooms, servicer reports) and endless spreadsheets. So highly-paid analysts become data janitors, copy-pasting between systems and rebuilding the same models — instead of the real job: underwriting and managing risk.\n\nIt's the same story across all of an analyst’s workflows (like new deals, monitoring, reporting, workouts). One example: to borrow against a credit facility (it’s like a credit card for fintechs with a limit typically in the $100Ms ), a team produces and verifies compliance certificates by hand. That's hours of Excel every time, so they draw less often than they should, leaving millions on the table.\n\n**What is Levocred?**\n\nLevocred is an AI employee for your credit team. It plugs into your loan tapes, credit agreements, servicer reports, and bank feeds, learns how you work, and runs the workflows your analysts do by hand today.\n\n* Analyzes new deals and drafts the investment memos\n* Monitors the portfolio, marks valuations, and answers questions in Slack (\"what's our exposure to X?\")\n* Produces and checks compliance certificates, and handles covenant and LP reporting\n\nWhy it works when nothing else has:\n\n* **It's AI-native, not a rules engine.** Older tools only work if you hand-code every rule, so they break on messy, real-world data. Levocred's agents read your actual documents and tapes and reason across them. We already run consumer, fintech, litigation finance, and MCA through the same engine.\n* **You stay in control** with full auditability and no waiting on a vendor's engineers\n* **It compounds.** Every document you load makes it smarter about your book. That data moat is yours. It’s why usage only grows.\n\nThe result: a draw that took a day of Excel takes minutes, monitoring runs continuously instead of monthly, and your team spends its time on judgment, not grunt work.\n\n**Team**\n\n* **Mohit Gupta (CEO)**: Studied CS at IIT Bombay (ranked 53rd of 1.2M in the JEE) and Finance at UC Berkeley. Founding engineer at a credit hedge fund, where he later managed a $200M book.\n* **Saksham (CTO)**: Previously Software Engineer at a credit fund, where he built and scaled infrastructure as the fund grew. Electrical & Electronics from IIT Kanpur", "url": "https://www.ycombinator.com/launches/SZ8-levocred-ai-platform-for-credit-funds-fintechs-and-banks", "votes": 5, "created_at": "2026-08-11T15:30:00.232Z" } ] }, { "id": 33606, "name": "Billow AI Labs", "slug": "billow-ai-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2c42b391e7d2cf9beb71d20f5ce1ed2b4e77e77d.png", "website": "https://thebillow.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Billow handles the work of Accounting and FP&A FTEs keeping teams compliant and audit-ready. We work within existing stacks (NetSuite, Coupa, and 80+ other systems) and complex spreadsheets, chasing down information and coordinating approvals across stakeholders. \r\n\r\nBuilt by repeat founders; Joan built and exited an accounting/ERP platform (45,000 businesses in 4 years) and Phil built Bloomberg's financial “brain” data infrastructure, and as CTO of a trading platform ($1B in volume). Advisors include CFOs, controllers, auditors from publicly-traded biopharma, and a Big-4 Accounting firm. ", "one_liner": "AI-native Accounting Firm that's killing Deloitte", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1784327267, "tags": [ "Finance", "B2B", "Workflow Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "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/billow-ai-labs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/billow-ai-labs.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/billow-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2c42b391e7d2cf9beb71d20f5ce1ed2b4e77e77d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ce73d929ec37820269e48e542e1af8c6deaf9d43.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 983067, "full_name": "Joanathan McIntosh", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Billow AI Labs. Repeat, exited founder - built an accounting/ERP software (45,000 businesses in 4 years). Formerly en-route to become a CPA/CFA, ex-Merrill Lynch and StreetLight Data (AI/ML for the U.S. government and regulated industries).", "is_active": true, "linkedin_url": "https://linkedin.com/in/joanathanlim", "x_url": "http://x.com/joanathanlmc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c7bb76a8542e736d8c8e672a059c389f9decd761.jpg" }, { "user_id": 548009, "full_name": "Philip Moniaga", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of Billow AI Labs. Phil (YC W22) had built Bloomberg’s finance \"brain\" data infra and co-founded/CTO of a trading platform ($1B+ in volume)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/philipmoniaga/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0748bfa571fe070604aad2bc278c30312f1a1d5b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110394, "title": "Billow - Killing Deloitte with AI", "tagline": "AI-native Accounting Firm for Enterprise", "body": "# **_We’re killing Deloitte with AI_**\n\n[https://drive.google.com/file/d/1YaUyJE-ZL0poxDAFGv962RniFsue5nyE](https://drive.google.com/file/d/1YaUyJE-ZL0poxDAFGv962RniFsue5nyE/view?usp=sharing)\n\n**Accounting is a $700B industry that hasn’t changed in 200 years.** Today, 80% of companies still do their accounting by hand – manually exporting data, building spreadsheets, and chasing approvals.\n\n**Billow is an accounting firm that replaces human accountants with AI agents.**\n\nWe connect to your existing tools (NetSuite, QuickBooks, and 80+ other systems) and use agents to provide faster, cheaper, and better accounting services. \n\n![uploaded image](/media/?type=post&id=110394&key=user_uploads/983067/43e1b7ba-2178-44e3-a001-690ad7b41766)\n\nThere is zero software for customers to use. Just integrate and we’ll close your books for you.\n\nIn the last three months, we went from an idea to partnering with Series B-D companies representing over $1B in enterprise value.\n\n**Team:**\n\n* [Joanathan McIntosh](https://www.linkedin.com/in/joanathanlim/) - Repeat VC-backed founder, built and exited an accounting/ERP platform (45k businesses in 4 years). Ex-Merrill Lynch and StreetLight Data (AI/ML for US Government)\n* [Philip Moniaga](https://www.linkedin.com/in/philipmoniaga/) - Repeat YC founder (W22). Built financial infra at Bloomberg and [Booking.com](http://Booking.com). CTO of a trading platform ($1B+ in volume).\n\n![uploaded image](/media/?type=post&id=110394&key=user_uploads/983067/0bf2a219-f426-444c-a7c2-dda2bbd7e6e7)\n\n**Ask - intros to:**\n\n* CFOs, Controllers, and VPs of Finance at companies with $40M+ in revenue or funding.\n* Fractional CFOs, accounting and advisory firms\n* **$5k referral or 1 US Open ticket for every closed customer.**\n\n[joan@thebillow.ai](mailto:joan@thebillow.ai) | [thebillow.ai](http://thebillow.ai)", "url": "https://www.ycombinator.com/launches/SiY-billow-killing-deloitte-with-ai", "votes": 70, "created_at": "2026-08-13T19:00:00.141Z" } ] }, { "id": 37203, "name": "Volaren Inc.", "slug": "volaren-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e143f02ee81e74efcd4497792528526f512482b.png", "website": "https://www.volaren.ai", "all_locations": "New York City, NY, USA", "long_description": "Turning ideas into trades. Every great investment starts as an idea about the world. Institutions have teams of analysts turning those ideas into positions. Volaren is that team, processing data through fundamentals and quantitative models that can be personalized with AI.\r\n\r\nTurn your views into trades, portfolios, and back-testable frameworks and strategies, and Volaren stays with you from there, showing you what's actually driving each position and what it means for your next move.", "one_liner": "Turning Ideas into Trades. Volaren puts the hedge fund in the hands…", "team_size": 4, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1789771499, "tags": [ "Fintech", "Marketplace", "Finance", "Creator Economy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "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/volaren-inc", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/volaren-inc.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/volaren-ai", "x_url": "https://x.com/volaren_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e143f02ee81e74efcd4497792528526f512482b.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": [ { "user_id": 2699061, "full_name": "Akshat Mittal", "title": "Founder", "founder_bio": "Founder at Volaren Inc. Previously signal researcher on the Equity Alpha team at Goldman Sachs Asset Management. Developed alternative risk metrics and supported trading at Low Tide Capital Management. One of the first team members at David Protein, pre-launch, working on growth primarily. Studying Statistics and Economics at UChicago (top 5% of class). 2nd in international economics competition in high school.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mittal-akshat", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a8cb2dbd4aff6af7c4753f0c38b7fde2f43c4499.jpg" }, { "user_id": 3534379, "full_name": "Martin Pestana", "title": "Founder", "founder_bio": "Founder at Volaren Inc. \n- Previously at Goldman Sachs, Investment Banking Division.\n- Previously at AQR Capital Management in quantitative trading. \n- Applied Math and Economics at University of Chicago.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/martin-pestana/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dd546aeacae8f950fb8624fbfba8e9e7fc2a9c30.jpg" } ], "jobs": [ { "id": 111785, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/volaren-inc/jobs/KfqM968-software-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "AI engineer", "salary_range": "$50K - $150K", "equity_range": "5.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 116145, "title": "Turning ideas into trades. Volaren: bringing the hedge fund to retail investors", "tagline": "Describe an investment thesis or strategy in plain English and Volaren's AI analysts research, build, and backtest it for you.", "body": "**TURNING IDEAS INTO TRADES**\n\n**TL;DR:** Volaren is putting a hedge fund in your pocket. You describe a thesis, a strategy, or a view of the world in plain English, and Volaren's AI analysts do the research, build it, and backtest it for you. Try it at .\n\nDEMO: \n\n**The problem**\n\nInstitutions turn a view of the world into real positions using teams of analysts and expensive tooling like Bloomberg and Capital IQ. Everyone else does it by hand, or does not do it at all. The data and the methods already exist, but nobody had built the product that puts them in the hands of small teams and active retailers investing their own money.\n\n**What Volaren does**\n\nYou tell Volaren a thesis, a strategy, or a view of the world in plain English, and its agents go do the research for you. They handle all the heavy lifting of the analysis, and they build it and backtest it across both fundamental work (models, comps, thesis building) and quantitative strategies (momentum, style factors, custom rules). You can delegate as much as you want and expand how much you take on, so you grow from a single investor or small team fund into an entire research team. You see every step and can change anything, so the judgment stays yours, and your work stays with you in one place you can keep building on.\n\n**Who we are**\n\nWe are Martin Pestana and Akshat Mittal, and we ran this exact process on the inside at Goldman Sachs and AQR. Volaren exists to give a person with real conviction and a real portfolio the leverage of a full research team.\n\n**Our ask**\n\nIf you invest your own money, run a small fund, or you know someone who does, try Volaren at . We would love your feedback, and you can reach us directly at [martin@volaren.ai](mailto:martin@volaren.ai) and [akshat@volaren.ai](mailto:akshat@volaren.ai).", "url": "https://www.ycombinator.com/launches/UDJ-turning-ideas-into-trades-volaren-bringing-the-hedge-fund-to-retail-investors", "votes": 7, "created_at": "2026-09-28T16:24:00.151Z" } ] } ]