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    "id": 29152,
    "name": "Cembla",
    "slug": "cembla",
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      "Taylor AI"
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        "answer": "Ben and Brian met at the 2015 Speech & Debate Nationals the summer before the start of their freshman year at Stanford. Since then, they’ve been best friends and are currently roommates in San Francisco. After graduating with his master’s in computer science, Ben was most recently an applied machine learning researcher in a Stanford research lab. After graduating with his bachelor’s in engineering, Brian was most recently a product manager on the front lines of early AI adoption in industry. Ben and Brian started Taylor because they saw companies rushing to adopt AI but struggling to adapt one-size-fits-all chat models for their use cases."
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    ],
    "url": "https://www.ycombinator.com/companies/cembla",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cembla.json",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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        "full_name": "Brian Kim",
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        "user_id": 515987,
        "full_name": "Benjamin Anderson",
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        "founder_bio": "CTO",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/andersonbcdefg",
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        "title": "Data Engineering Startups funded by Y Combinator (YC) 2024 | Y Combinator",
        "url": "https://www.ycombinator.com/companies/industry/data-engineering",
        "date": "Apr 01, 2024"
      },
      {
        "title": "The Journal by Fondo | Taylor AI launches: Tag your text data at scale",
        "url": "https://www.tryfondo.com/blog/taylor-ai-launches",
        "date": "Mar 26, 2024"
      },
      {
        "title": "The Journal by Fondo | Taylor AI launches: Tag your text data at scale",
        "url": "https://www.tryfondo.com/blog/taylor-ai-launches",
        "date": "Mar 25, 2024"
      },
      {
        "title": "Bruckner Ventures on LinkedIn: 🚨 Bruckner Ventures is thrilled to announce our investment in Taylor AI…",
        "url": "https://www.linkedin.com/feed/update/urn:li:activity:7136381855037100033/?actorCompanyId=95063899",
        "date": "Dec 01, 2023"
      },
      {
        "title": "The AI Edge on LinkedIn: #ai #aitools #tech #productivity | 10 comments",
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        "date": "Sep 01, 2023"
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        "id": 79451,
        "title": "Taylor — Tag your text data at scale",
        "tagline": "The API for on-demand text classification (No LLMs)",
        "body": "Hey everyone! 👋 We're Ben & Brian.\n\n**TL;DR** Use Taylor’s API to tag your free text faster and cheaper than a LLM can.\n\n**THE PROBLEM** High-volume, high-frequency text data (like user-generated content, chat completions, and lead communication logs) is difficult to sort, productize, and manage. You can tag text with LLMs, which works well on smaller datasets but is challenging at scale due to rate limits, high latency, and accuracy issues (“creative” labels). What if you could classify text in real time with no rate limits?\n\n**OUR SOLUTION** An API for classifying your text in milliseconds into hierarchical labels. For example, use our out-of-the-box **topic classification model** to tag your free text by topic.\n\n![uploaded image](/media/?type=post&id=79451&key=user_uploads/989748/3ee6956b-5fd4-4f09-a9f4-8150c204b8ac)\n\n**OUR ASKS**\n\n1. Make a request to our topic classification model! [Log in](https://www.trytaylor.ai/login), grab your API key, and then use [this starter code](https://docs.trytaylor.ai/Topic%20Tags/request#full-example) to get back topic labels.\n2. Not the labels you need? Email us ([founders@trytaylor.ai](mailto:founders@trytaylor.ai)) or book time [here](https://calendly.com/brian-r0o/taylor-ai).\n3. Follow us on [Twitter](https://twitter.com/TryTaylor_AI) and [LinkedIn](https://www.linkedin.com/company/taylor-ai/) to stay on top of our latest models and roadmap!",
        "url": "https://www.ycombinator.com/launches/KfT-taylor-tag-your-text-data-at-scale",
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        "created_at": "2024-03-18T03:17:06.573Z"
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    "website": "https://hazelai.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Hazel builds AI-powered procurement software for U.S. state, local, and federal government agencies. We automate the full procurement process including requirements generation, market research, solicitation drafting, and proposal evaluation. Agencies use Hazel to save time and money while improving compliance.",
    "one_liner": "AI-enabled procurement for government",
    "team_size": 7,
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        "full_name": "August Chen",
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        "founder_bio": "Elton graduated with a bachelor's in Electrical Engineering from Harvard, where he cofounded MakeHarvard and wrote an AI/ML thesis in medtech. He interned in data engineering for Capital One and aerospace engineering for a space startup.\n\nHe spent ~5 years at BCG, exiting as Project Leader. He built *lots* of slides driving strategy and procurement cases in the Aerospace & Defense and Public Sector practice areas. He lives in Atlanta with his wife.",
        "is_active": true,
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        "title": "Full Stack Engineer (TS/SCI)",
        "url": "https://www.ycombinator.com/companies/hazel-2/jobs/PpNKYBS-full-stack-engineer-ts-sci",
        "location": "Washington, DC, US / New York, NY, US / Remote (US)",
        "type": "Full-time",
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        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "0.25% - 0.50%",
        "experience": "3+ years",
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    "news": [
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        "title": "City of Dallas Partners with Hazel AI to Modernize Procurement and Accelerate Public Service Delivery",
        "url": "https://www.prnewswire.com/news-releases/city-of-dallas-partners-with-hazel-ai-to-modernize-procurement-and-accelerate-public-service-delivery-302509987.html",
        "date": "Jul 21, 2025"
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      {
        "title": "These AI startups stood out the most in Y Combinator's Winter 2024 batch | TechCrunch",
        "url": "https://techcrunch.com/2024/04/03/y-combinator-winter-2024-demo-day-ai-startups-standouts/",
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      {
        "id": 87095,
        "title": "🌰 Hazel: AI procurement software for government",
        "tagline": "Making government efficient by fixing procurement",
        "body": "### 📝 **BLUF** \n\nHazel is the _only AI-native solution_ which enables public sector procurement teams to seamlessly define requirements, generate solicitations, conduct market research, and evaluate responses in one place. Public sector procurement is a time-intensive process held together by Microsoft Office, legacy point solutions, tribal knowledge, and severely overworked civil servants. Hazel is building an AI-powered platform to accelerate and streamline this mission. \n\nWe’ve engaged hundreds of government agencies with diverse missions, and we’ve been hard at work building something they want. We’re already on contract with several governments and have received funding from agencies ranging from public school districts to the U.S. Navy!\n\nIf you know anyone supporting government procurement, please contact us! \n\n### 🦅 **About Us + What’s New** \n\nWe’re Elton and August, and we along with our 3 amazing founding software engineers currently operate out of NYC, Boston, DC, and Salt Lake City. We’re excited to (finally) re-launch Hazel, an AI-native solution **which enables government procurement teams to quickly and easily manage their procurement processes**.\n\n![uploaded image](/media/?type=post&id=87095&key=user_uploads/1279709/df8d3560-f897-4131-b217-b9a76fc3525c)\n\nThe two of us met in college before taking separate jobs at Palantir and Boston Consulting Group, but our focus on public service remained the same, and we saw something that we knew had to be fixed. Along the way, we’ve picked up incredible mission-driven teammates with experience from Lockheed Martin, MITRE, SpaceX, Peraton, the U.S. Air Force, the U.S. Department of State, and USAID. \n\nWe began by building a solution for businesses to bid on RFPs because we wanted to help governments. The idea was that by bringing more businesses to the table, more competitive bids would both save governments money and deliver better performance. However, we soon realized that if our mission was to help government, we will best accomplish that by going directly B2G, not B2B2G. It means accepting the known challenges of selling to government as a startup (long sales cycles, a litany of compliance standards, nobody returns your emails, a new language of business, etc.), but nothing worthwhile - or fulfilling - comes easy.\n\n### 🏛**️ Problem** \n\nCivil servants in procurement are overwhelmed. \\~30% of procurement roles in government are unfilled as these employees retire or quit. Their current solutions are dated – one to two _decades_ behind the equivalent in B2B SaaS, gated behind sleepy incumbents leveraging political connections and litigation to stay on top. The lack of tools and talent means governments are more stretched than ever when it comes to buying the goods and services they need in a compliant and timely manner. This challenge is eating away at all levels of government, from local K-12 school districts to the Pentagon. As prices rise and the demands on governments grow, it becomes even more critical to strategically purchase the right tools for their success. Failure means degradation in service delivery, bad publicity, or even disaster. \n\nA maze of legal restrictions, understaffed departments, and growing complexity of requirements have made it near impossible to rapidly procure goods and services without defaulting to an existing incumbent. Governments would love to diversify their options or recompete… but choosing the default has shifted from a matter of convenience to an operational necessity. Over $2.7T is on the line for public procurement _annually._ \n\nThere has never been a more pressing – or opportune – time to address the procurement challenges taxing our government’s efficiency. Climate goals require rapidly procuring sustainable and efficient energy solutions nationwide. The new era of great power competition requires procuring novel weapon systems at scale to secure democracies in the Pacific and Eastern Europe. Our aging procurement systems are creaking under their weight and cannot unlock the potential of our nation.\n\n### 🔥 **Solution** \n\nHazel’s platform accelerates and automates the rote, time-intensive tasks of researching, generating and managing solicitations. Instead of trading documents over email and doing market research via cursory Google searches, civil servants should have a single streamlined platform that assists them in doing their jobs. \n\nHazel combines AI agents and a modern UI/UX to deliver a consumer-grade solution that surfaces critical information to human decision-makers, saving time and driving better outcomes. Hazel is the AI superpower for procurement teams short on staff and time but hungry for innovation and a way to do things better.\n\n![uploaded image](/media/?type=post&id=87095&key=user_uploads/1279709/ce5def23-288b-44fe-baa4-39c4fb09bcb8)\n\n_(Screenshot of the Hazel platform) Save legal-approved boilerplates, design content sections using our AI agents, and drag-and-drop them into templates. Compliant first-draft solicitations using the agency’s template in five minutes, not five months. Edit collaboratively in real-time and seamlessly export to Word when done. No copy-paste required._ \n\n### **🫡 Asks** \n\n* Do you have any contacts in government who navigate their agency’s internal procurement processes? If so, we’d love to connect with them! \n* Reach out to us at [august@hazelai.com](mailto:august@hazelai.com) and [elton@hazelai.com](mailto:elton@hazelai.com) with any other comments, questions. **We’re building AI for the public interest** 🇺🇸",
        "url": "https://www.ycombinator.com/launches/Mel-hazel-ai-procurement-software-for-government",
        "votes": 15,
        "created_at": "2025-01-23T17:01:17.012Z"
      },
      {
        "id": 77743,
        "title": "Hazel: AI-driven marketplace for government contracts",
        "tagline": "We’re using AI to enable SMBs to easily find and win public sector contract opportunities",
        "body": "### **📝 BLUF**\n\n[Hazel](https://hazeltech.ai/) applies AI to create an equitable and accessible marketplace for businesses to bid on government contracts. Contracts are separately issued by governments, and responses must meet long lists of criteria to be compliant and award-eligible, making them immensely hard and time-consuming to write. Hazel breaks down that moat.\n\nIf you or anyone you know wants to get matched to or respond to government RFPs, please [contact us](mailto:elton@hazeltech.ai?cc=august@hazeltech.ai)!\n\n### **🥷 About Us**\n\nWe’re [Elton](https://linkedin.com/in/eltonlossner) and [August](https://linkedin.com/in/augustschen), in SF for this YC W24 batch. We’re excited to announce Hazel, an AI-driven marketplace **that enables businesses to quickly respond to issued government RFPs in a compliant manner**.\n\n![uploaded image](/media/?type=post&id=77743&key=user_uploads/1667477/121ccfbb-5ac0-49ed-b528-7c5a63f0c1a6)\n\nThe two of us met in college before taking separate jobs at Palantir and Boston Consulting Group – but our focus on mission and serving the public interest remained the same, and we saw something that we knew had to be fixed.\n\n### **📄 Problem**\n\nThe government contracting process is broken. Contracts are separately posted on thousands of different websites and can include hundreds of pages of overlapping compliance regulations. Responding to bids can require entire business divisions supported by armies of consultants and in-house lawyers. Even the simplest of contracts – if you can find one that fits your business – require responses spanning dozens of pages, and the tiniest compliance error will jeopardize your entire submission.\n\nThe US has created a system where it is almost impossible for SMBs to win work with the government. As incumbents become even more entrenched, governments face increasing prices and deteriorating performance because they have allowed for no alternatives. With over $1T of infrastructure funding now on the line for award, the US cannot afford the status quo.\n\n### **🧠 Solution**\n\nUse AI to automate discovery, drafting, and compliance. Instead of spending days trawling local websites and weeks writing fruitless proposals, you should only spend minutes defining your scope of work and price.\n\nUse Hazel to get matched to a potential contract, synthesize a draft response based on the RFP and your company information, create a checklist of to-dos, and run compliance checks. No more scrambling to register your company the day before submission. No more losing a bid because you missed a cybersecurity requirement listed on page 13 of Appendix G.\n\n![uploaded image](/media/?type=post&id=77743&key=user_uploads/1667477/88962715-f3d7-4dfb-97b6-deb758c92062)\n\n_{Choose which sections to include in your response, view a timeline of the next steps for the process, and use GenAI to craft your answer based on existing company documentation.}_\n\n### **📈 Asks**\n\n* Reach out! We’re excited to help users win new bids with US government agencies, particularly at the state and local level\n* Spread the word! We’ve heard from countless people how frustrating government RFP processes are. If you have any contacts involved in government RFP writing or solicitation, we’d love to connect with them\n\nReach out to us at [august@hazeltech.ai](mailto:august@hazeltech.ai) and [elton@hazeltech.ai](mailto:elton@hazeltech.ai) with the above or any other comments and questions. **Let’s bring more winners to government contracting.**",
        "url": "https://www.ycombinator.com/launches/KDv-hazel-ai-driven-marketplace-for-government-contracts",
        "votes": 46,
        "created_at": "2024-01-22T22:48:05.413Z"
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    "id": 29396,
    "name": "EdgeTrace",
    "slug": "edgetrace",
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    "website": "https://edgetrace.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "EdgeTrace unifies your entire camera network into a single, powerful intelligence platform–helping public safety teams detect threats faster, respond in real time, and protect the community.",
    "one_liner": "Describe It. Find It. Act On It.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1710460608,
    "tags": [
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      "Computer Vision",
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      "Video",
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    "top_company": false,
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    "batch": "Winter 2024",
    "status": "Active",
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    "regions": [
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    "stage": "Early",
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    "country": "US",
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        "full_name": "Kyle Orciuch",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ EdgeTrace",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kyleorciuch",
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    "id": 29724,
    "name": "Ontra Mobility",
    "slug": "ontra-mobility",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/232f7609d7e1de5c6a2ce76251083a8161f16672.png",
    "website": "https://www.ontramobility.com",
    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "Ontra Mobility is founded by two former Googler engineers with PhDs in operations research. Ontra helps cities and other transit agencies increase ridership through data-driven planning and real-time optimization. The founders developed the software that powered MARTA Reach in Atlanta, GA and CAT SMART in Savannah, GA.",
    "one_liner": "Platform for cities to optimize transit ",
    "team_size": 2,
    "industry": "Government",
    "subindustry": "Government",
    "launched_at": 1720055072,
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        "title": "Powered by DigitalOcean Hatch: Ontra Mobility is Building Smarter Cities | DigitalOcean",
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      {
        "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/",
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        "title": "Ontra Mobility - Increasing ridership for transit agencies",
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        "body": "Hey everyone! We are [Sam](https://linkedin.com/in/samcrombie) and [Adam](https://www.linkedin.com/in/adam-mcquilkin/) building Actionbase. Actionbase builds tools that make the web agent-interpretable. Today, we are launching our first product, the [Web Action SDK](https://actionbase.co/).\n\n# **TL;DR**\n\nThe [Web Action SDK](https://actionbase.co/) is a TypeScript / JavaScript SDK that lets developers run automations on popular websites with only a few lines of code.\n\n# **What’s the problem?**\n\nWeb automations, particularly for high-traffic websites, **suck to build and maintain**. Yet engineering teams find themselves having to build them from scratch, over and over.\n\nSpinning your own automations is an easy path to unnecessarily complex codebases and enormous tech debt. Automations break down, hit edge cases, and become exponentially unruly.\n\nBut this is business-critical functionality, so what else can you do?\n\n# **Solution: Web Action SDK**\n\nWe’ve built an SDK that allows you to run automations on popular sites with only a few lines of code. Simply add your API key, define an action, and run it.\n\nHere’s how you can use our SDK to send a LinkedIn message.\n\n![uploaded image](/media/?type=post&id=83184&key=user_uploads/448194/5978c043-af17-4af7-8b20-5c3ef74d7277)\n\nInitialize, send, and that’s it!\n\nNow that you’ve made your plans, you can use other services supported by the SDK to prepare for dinner: buy a notebook to take notes (Amazon), make a restaurant reservation (Resy), and get a ride to the restaurant (Uber).\n\n![uploaded image](/media/?type=post&id=83184&key=user_uploads/448194/5875c5ac-d64a-4bb7-9f1f-0eddf8b25a95)\n\nIn less than 10 lines of code, you’ve planned a pretty cool night out.\n\n# **Value Proposition: Simplicity**\n\nWeb Action SDK does all the heavy-lifting for you: authentication, anti-botting, task creation and execution, self-healing, and hosting. Our goal is to enable engineering teams to focus on **what to do with web actions**, not how to make them work.\n\n# **Asks**\n\n**\\#1:** If you currently have code that programmatically interacts with: LinkedIn, Facebook, Resy, Uber, DoorDash, Amazon, United, or any popular, high traffic sites, we’d love for you to sign-up and [try the SDK for yourself](https://actionbase.co). If you want to discuss bringing Actionbase to your company/use case, book time [here](https://actionbase.co/book-demo).\n\n**\\#2:** If you know someone who scrapes or automates sites, please forward them this URL or our [email blurb.](mailto:your_recipients_email_here@email.com?subject=Does%20this%20look%20useful%3F%20A%20web%20automation%20SDK&body=Hey%2C%20a%20YC%20company%20called%20Actionbase%20just%20launched%20their%20Web%20Action%20SDK%20(https%3A%2F%2Fwww.ycombinator.com%2Flaunches%2FLdg-actionbase-an-sdk-for-automating-popular-sites)%2C%20which%20lets%20you%20to%20automate%20popular%20websites%20like%20LinkedIn%20in%20a%20few%20lines%20of%20code.%0A%0AIs%20this%20something%20you%27d%20find%20useful%3F)\n\n# **Our Background**\n\nAdam and I met at Dartmouth where worked together on our senior thesis project. After graduation, we worked at Microsoft, building expertise in web automation and infrastructure on the Edge Copilot and PowerBI Copilot teams. We’ve joined forces once again to make the web agent-interpretable with Actionbase.\n\n![uploaded image](/media/?type=post&id=83184&key=user_uploads/448194/cbe18c26-732c-40c3-aab0-f9d935192ba8)\n\n![uploaded image](/media/?type=post&id=83184&key=user_uploads/448194/59f21dd2-616b-4afa-82e0-b0229d9dfe48)\n\n",
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      {
        "id": 85526,
        "title": "Usul - PitchBook for Government 🇺🇸",
        "tagline": "AI-assistant to win government contracts.",
        "body": "### **TLDR:**\n\n[Usul](https://www.usul.com/) is building PitchBook for Government, starting with the Department of Defense. They use AI to size defense markets, map decision-makers, and identify relevant opportunities—all in one place.\n\n### **Problem:**\n\nThe DoD is the largest buyer in the world, however, turning federal budgets into contracts is notoriously difficult. YC recently requested startups interested in tackling government software, acknowledging that selling to the government is a daunting task few builders would approach on their own. Only a couple of startups have successfully broken into the government market, with some requiring lawsuits and billionaire founders to get their foot in the door.\n\n### **Solution:**\n\nUsul, in response, builds software to simplify this process. Here’s an example for computer vision software:\n\n1. Identify active defense programs for computer vision\n\n![uploaded image](/media/?type=post&id=85526&key=user_uploads/1124751/a1fa8a86-d8da-4791-b25a-e1319ea6d7f0)\n\n2. Analyze other companies winning computer vision contracts\n\n![uploaded image](/media/?type=post&id=85526&key=user_uploads/1124751/4179e2dc-2ef9-4431-99c3-2ec45fb892ab)\n\n3. Identify and contact active government buyers for computer vision\n\n![uploaded image](/media/?type=post&id=85526&key=user_uploads/1124751/a73aabc6-0c68-4fde-a9ab-dd90dea9f25c)\n\n### **Our Ask:**\n\nWe’re Live! If you’re interested in winning defense contracts or want to expand your current efforts, please contact us at [founders@usul.com](mailto:founders@usul.com) or book a demo [here](https://calendly.com/d/cmq7-4sg-b57/usul-product-call?month=2024-11)! Feel free to learn more about what we’re building at [usul.com](http://usul.com).",
        "url": "https://www.ycombinator.com/launches/MFS-usul-pitchbook-for-government",
        "votes": 25,
        "created_at": "2024-11-13T14:46:36.718Z"
      },
      {
        "id": 82530,
        "title": "Usul - AI for defense contractors 🇺🇸",
        "tagline": "Win more DoD contracts with policy, budgetary, and contract intelligence. ",
        "body": "### **TLDR:**\n\n[Usul](https://www.usul.co/) allows defense contractors to easily interpret government policy, track funding lines across budgetary documents, and strategize the best opportunities for new business.\n\n### **Problem:**\n\nWinning DoD contracts can take years, even if you’re well-connected and highly familiar with government acquisition processes. Unfortunately, many companies lack both and go out of business before ever landing their first contract. Adding fuel to the fire, critical government information is randomly dispersed across a multitude of archaic websites, databases, and spreadsheets, making it even harder for new entrants to compete against established primes. As a result, defense contractors are currently spending weeks finding answers to crucial policy, budgetary, and contracting questions and are completely neglected in terms of tooling.\n\n### **Solution:**\n\nWe allow defense contractors to quickly track and query complex DoD demand signals under a unified workspace. Contractors can now:\n\n* Identify novel contract opportunities\n* Track DoD funding lines and analyze project budgetary trends\n* Identify relevant acquisition and compliance regulations\n* Find the most relevant DoD buyers for existing capabilities\n\nAll in one place.\n\n![uploaded image](/media/?type=post&id=82530&key=user_uploads/1097644/e2b525a7-e178-49ae-93d0-b5d7b9425d87)\n\n### **Coming Soon:**\n\nStake your own company data against government demand signals to:\n\n* Predict future funding lines for your capabilities\n* Identify personalized avenues for future opportunities\n* Pull custom acquisition and compliance matrices\n\n![uploaded image](/media/?type=post&id=82530&key=user_uploads/1097644/ea1e1d50-bd26-49a9-a6d7-1410d77efabd)\n\n### **About Us:**\n\nWe’re a group of AI nerds who’ve all worked for government contractors like Palantir, Apple, Reliable Robotics, etc. We met in a class at Stanford called Hacking 4 Defense, where we talked to 200+ people in the DoD/defense sector about their biggest problems. Our insights from these incredible conversations inspired us to form Usul. And yes, it’s a Dune reference…\n\n![uploaded image](/media/?type=post&id=82530&key=user_uploads/1097644/ff9b7208-5f5c-4d7c-9d40-e23a358937ff)\n\n[Jarren Reid](https://linkedin.com/in/jarrenreid) left high school to start his first company. He then worked for 4 government contractors (Palantir, MITRE, etc.) and dropped out of Stanford to help his past colleagues win more contracts.\n\n[Oliver Gomez](https://www.linkedin.com/in/oliveragomez/) started building as a PM at Finnt (YC W22). He then worked at Palantir and leveraged LLMs for military operational legal review at Stanford’s Gordian Knot Center. He dropped out last quarter.\n\n[Joonghyun Lee](https://www.linkedin.com/in/joonghyun-lee/) is a commercial pilot who has been working on autonomous aircraft research for the past 3 years. He has experienced numerous pain points dealing with regulation across different government agencies.\n\n[Pranav Sriram](https://www.linkedin.com/in/p-sriram/) has been engrossed in AI research for the past four years at Apple and the Stanford Vision and Learning Lab. He previously worked at NASA and saw firsthand how time-consuming getting answers to basic technology, security, and policy questions across government could be.\n\n### **Our Ask:**\n\nWe’re Live! Learn more about what we’re building at [usul.co](http://usul.co).\n\nIf you know any:\n\n* Business Development or Capture teams at Defense Contractors\n* Defense/Government consultants\n* Companies looking to expand to Defense/Government\n\nWe’d love to chat! Please feel free to contact us at [founders@usul.co](mailto:founders@usul.co) or book a demo [here](https://calendly.com/d/ckt9-b7f-k8n/usul-product-call)!",
        "url": "https://www.ycombinator.com/launches/LT8-usul-ai-for-defense-contractors",
        "votes": 36,
        "created_at": "2024-07-29T18:12:23.784Z"
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    "name": "Candor",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Candor helps defense and deeptech companies navigate the government procurement process with AI. We inject agents into the procurement process - agents that not only surface opportunities but actively pursue them - giving anyone the same capabilities as large contractors. \r\n\r\nWhen we met at Stanford 4 years ago, it was rare for startups to work with the US Government. In the years that we’ve been involved in the burgeoning Defense Tech ecosystem, a lot has changed. Silicon Valley and the US Government are closer than they’ve been in decades.  \r\n\r\nAs fellows in Stanford’s Center for National Security Innovation, we’ve had the privilege of speaking with dozens of government officials who have come to Silicon Valley looking to fund and scale startups solving their most urgent problems. \r\n\r\nHowever, we’ve seen firsthand the struggles these startups face in securing gov funding. Marcus, having spoken with dozens of defense startups in his time helping lead the Stanford Defense Tech Club and trying to set up a national security startup accelerator has seen this especially.\r\n\r\nThat’s why we’re making it easier to find and apply for opportunities, taking the application process from weeks to days.\r\n\r\nWe’re only going to see more cooperation in the coming years. With that, there will be increasingly more funding going towards companies in defense, energy, biotech, quantum, etc. Candor lets you unlock that funding potential.\r\n",
    "one_liner": "We help companies win government funding with AI",
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        "full_name": "Marcus Zimmerman",
        "title": "Founder/CEO",
        "founder_bio": "CEO of Candor. Prev & Stanford. Helped run Stanford's DEFCON Technology and National Security Network. Worked on a Defense incubator as a National Security Innovation Fellow. Product/Growth at an ex-YC Startup. Angel Investor in various startups, particularly Defense & GovTech",
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      {
        "user_id": 1004652,
        "full_name": "Ethne Laude",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO at Candor. Previously interned as a quant trader at Morgan Stanley building low-latency trading systems and as a research scholar at the Space Force. Studied CS systems and Math at Stanford, researching compiling sparse tensor applications to domain-specific hardware. Worked on building a DoD PEO Directory as a National Security Innovation Scholar. ",
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      {
        "id": 87558,
        "title": "Candor - Win Government Funding With AI",
        "tagline": "Candor helps defense, energy, and biotech startups win tens of billions of dollars in US government funding. Our AI software auto-drafts proposals and ensures full compliance.",
        "body": "### **Announcing Candor: Win Funding for Your Startup from the US Government with AI**\n\nFour years ago, startups barely worked with the U.S. government. Today, the ecosystem is shifting—fast. Now, the government looks to Silicon Valley and startups to fix its biggest problems.\n\nTens of billions in **non-dilutive funding** are available for startups through **SBIRs, STTRs, and other federal programs**, especially in Defense, BioTech, Aerospace, and Energy. However, most founders either **don’t know about them** or **can’t afford the time and effort** required to apply.\n\nThat’s why we built **Candor**— an **AI search and application drafting platform** that takes the application process from **weeks to days** while ensuring full compliance.\n\n### **What Candor Does**\n\n**AI-Powered Search** – No more scrolling through [**SAM.gov**](http://SAM.gov)**, **[**Grants.gov**](http://Grants.gov)**, or DSIP** to see if your startup can access government funding. Candor **automatically matches** your company with the most relevant funding opportunities.\n\n**AI Proposal Drafting** – Generate **80% of your proposal** by simply uploading your company’s past proposals, technical documents, and slide decks.\n\n**Compliance Checks & AI Red Team Review** – Never get disqualified on a **technicality**. Candor’s AI **evaluates** your application against agency-specific formatting and evaluation criteria.\\\n[**https://www.youtube.com/watch?v=BuB3fjhy9Jo**](https://www.youtube.com/watch?v=BuB3fjhy9Jo)\n\n### **Why This Matters**\n\nWinning can unlock **$2M+ in government funding**(per win), but today:\n\n* **Startups miss out** because finding opportunities is painful and opaque\n* **Most founders don’t have time** to write long technical proposals that can take a month\n* **Expensive consultants** charge **$10K+ per application** with no guarantees.\n\n### **Why We’re Building This**\n\nMarcus helped lead Stanford’s DEFCON Tech and National Security Network. He also worked as a fellow at Stanford’s Gordian Knot Center for National Security Innovation, where he worked on building a campus accelerator for startups that were building in American Dynamism. He saw enough value in helping the massively growing community of startups wanting to access the US gov that he dropped out with 2 quarters left. In the past, he did Growth/Product at an ex-YC Startup.\n\nEthne did CS & Math at Stanford before dropping out. As a fellow at Stanford’s Gordian Knot Center for National Security, she interviewed dozens of government/defense officials and worked on a Department of Defense PEO Directory. She spent past summers Quant Trading at Morgan Stanley, interning at the Space Force, and doing compilers research.\n\n### **The Ask**\n\n* **If you’re a startup** building something that is considered technically innovative, you’re probably eligible for government funding. Talk to us, and we’d love to help. \n* **If you’re a consultant** **or grant writer** in the space, we have built a workspace meant specifically for you guys. We want to make it so you spend less time writing and more time on everything else— all without sacrificing win rates.\n\n**Reach out to us at** [**founders@usecandor.ai**](mailto:founders@usecandor.ai)\n\n![uploaded image](/media/?type=post&id=87558&key=user_uploads/89898/34cd9c0d-4128-4fda-ad4b-11e8b29ab0b0)\n\n",
        "url": "https://www.ycombinator.com/launches/MmE-candor-win-government-funding-with-ai",
        "votes": 27,
        "created_at": "2025-02-10T22:03:22.814Z"
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    "id": 30209,
    "name": "Closure",
    "slug": "closure",
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    "website": "https://closure-intel.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Closure turns evidence overload into cases closed, with the most trusted AI agents in law enforcement.",
    "one_liner": "We help law enforcement solve crime",
    "team_size": 11,
    "industry": "Government",
    "subindustry": "Government",
    "launched_at": 1739862740,
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      "LegalTech",
      "AI"
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      "Remote",
      "Partly Remote"
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    "url": "https://www.ycombinator.com/companies/closure",
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    "year_founded": 2024,
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        "full_name": "Aaron Zelinger",
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        "founder_bio": "Helping law enforcement solve crime @Closure with @GiladLevy. \n\nTakes helping government seriously; takes himself not so seriously.\n\nPreviously: 2 yrs @Arena, 6 yrs @Palantir (#savetheshire), #GoCard\n\n",
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        "full_name": "Gilad Levy",
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        "url": "https://www.ycombinator.com/companies/closure/jobs/4gxpOAW-founding-fde",
        "location": "New York, NY, US / Remote (San Francisco, CA, US; New York, NY, US)",
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        "url": "https://www.youtube.com/watch?v=ftvpskIDkXo&t=1371s",
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        "full_name": "Paul Witten",
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        "full_name": "Lucas Irvine",
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        "founder_bio": "Co-founder Tire Swing (W25)\n\nPreviously a Senior Software Engineer for Instacart, where I worked on everything on the front page of Instacart. Before that worked at Capital One on the open-source rules engine Cloud Custodian.\n\nGraduated from Princeton with a Bachelors in Computer Science in 2019.",
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      {
        "id": 108324,
        "title": "Tire Swing - AI Compliance for Affordable Housing",
        "tagline": "The AI platform for Affordable Housing operators to review and qualify applicants and residents",
        "body": "Hi! We are Lucas and Paul, cofounders of Tire Swing: the AI compliance platform for Affordable Housing.\n\n<https://youtu.be/x4qyhXXz38I>\n\n## **The Problem**\n\nEvery Affordable Housing move-in and recertification requires applicant income verification and a strict eligibility review. In addition to the high labor costs and regulatory burden, delays in reviewing applications and thoroughly screening applicants can cause weeks of lost rental revenue.\n\nLost revenue on a single move-in can accumulate to thousands of dollars, and penalties for non-compliance can cost millions in credit recaptures and fines.\n\n## **The Solution**\n\nTire Swing uses AI to bring compliance expertise to the point of leasing. It turns weeks of reviews and approvals into a minutes-long process. The platform:\n\n* **Reviews evidence as it is collected.** Tire Swing processes documentation in minutes, allowing problems to be addressed before the applicant leaves the office.\n* **Performs the eligibility analysis.** It calculates household income, applies all applicable property, state, and program eligibility rules, and links every finding to its supporting evidence.\n* **Automates certification compliance.** Tire Swing flags missing, inconsistent, or incorrect information with steps to resolve the problem from a library of thousands of deterministic and AI driven compliance checks.\n\n**Tire Swing means faster move-ins and recertifications, reduced consulting budget, and more consistent, audit-ready files.** \n\n## **Looking ahead**\n\nWe believe Affordable Housing is the first application of a much larger needs-based eligibility opportunity. Federal, state, and local governments distribute more than $1.5 trillion annually through needs-based programs including Medicaid, SNAP, TANF, utility assistance, and tax credits.\n\nThese programs share a common underlying workflow: collect documents, convert them into structured facts, apply eligibility rules, and resolve missing or contradictory information.  The administration costs for these services are approximately $20B annually.\n\n## **The Team**\n\nTire Swing is founded by Paul and Lucas, college friends and Princeton computer science graduates. Prior to founding Tire Swing, Lucas worked as a software engineer at Instacart and Capital One, and Paul worked as a cybersecurity consultant at Stroz Friedberg.\n\n![uploaded image](/media/?type=post&id=108324&key=user_uploads/990814/102ac484-df2c-4314-a766-c778a91c6b50)\n\n\n## **The Ask**\n\nWe would appreciate introductions to Affordable Housing property managers, developers, public housing authorities, and state housing agencies.\n\nPlease feel free to reach out at [**paul@gettireswing.com**](mailto:paul@gettireswing.com).",
        "url": "https://www.ycombinator.com/launches/SBA-tire-swing-ai-compliance-for-affordable-housing",
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        "created_at": "2026-07-30T06:17:34.365Z"
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        "full_name": "George Parks",
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        "title": "Founding Engineer, Infrastructure",
        "url": "https://www.ycombinator.com/companies/archon/jobs/iSDasJM-founding-engineer-infrastructure",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
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        "url": "https://www.ycombinator.com/companies/archon/jobs/n9cvKhD-software-engineer-security",
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        "title": "Software Engineer, Full Stack",
        "url": "https://www.ycombinator.com/companies/archon/jobs/R6DSmps-software-engineer-full-stack",
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        "title": "Archon: Fast-track selling software to government",
        "tagline": "Get the cybersecurity requirements you need to sell software to government.",
        "body": "We’re George and Sam—co-founders of Archon, and former government staffers. \n\n**TL;DR:** Our free-to-integrate SDK gives you all the cybersecurity requirements you need to sell to government faster and cheaper. This saves companies $1M (2/3rds of the cost) and reduces the timeline from 16 to 6 months. \n\n**Problem: The government software market is locked behind an opaque, million-dollar compliance process (called FedRAMP) that favors big incumbents with lots of time.**\n\n**Solution:** Our SDK provides compliant-out-of-the-box implementations of all the compliance features you need to sell to government – authentication, logging, access control, etc. You can integrate it into your existing codebase in a week, and we handle all of the obscure compliance restrictions so you don’t have to. \n\n![uploaded image](/media/?type=post&id=87386&key=user_uploads/2110890/2caad249-0936-4910-9a4e-12ad4425e4f5)\n\nIf you want to sell your software to government agencies, start exploring our SDK [here.](https://archon.inc/docs)\n\n\\\n**We condense the FedRAMP process into 4 steps.**\n\n1. Integrate our free SDK (what we’re launching today)\n2. Self-serve onboarding; then we prepare your 700-page security package\n3. Get an audit\n4. Wait for the Federal authorization board to approve your audit\n\nA typical Series A startup spends $1.5M on consultants and 1.5 years on the first 2 steps. Archon’s SDK cuts the integration timeline down to 1 week. We also know many startups that never sold their software to the government because the barrier was just too high. **Yet, the government’s IT spending accounts for 20% of the entire U.S. software market.** It’s our mission to eliminate these compliance hurdles and bring much-needed innovation from small tech to the federal sector. \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcz8xKiHOkcrclWYcEfAY2gc_hB1s4NlkbyEpQMLR9RNfngWF5EKYxG6N7b67Ix_5A7xxplmqU3xUvP65S-RAl4BSWsBuHJ0sy1duVwFAvZXXZ7xTPG9XPF4LZufVFMc5eQ-a-qrQ?key=gLGrgddQZLJJWptIH4zDOWpy)\n\n**Context:**\n\nWe came to YC planning to build AI agents that would speed up government workflows. But, we realized that we’d be spending more of our time on government compliance, than on our actual product. Currently, companies seeking FedRAMP certification face two bad options: spend millions of dollars on consultants, or use loophole solutions that lock them into unfavorable terms. We're building the solution we wish existed - a straightforward path that helps software companies build lasting government partnerships.\n\n**Team:**\n\n* **George Parks:** Advised diplomats on emerging technologies at State.\n* **Sam Jung:** Previously at State, advised the U.S. AI Safety Institute.\n\n# **OUR ASK:**\n\n* **Anyone looking to sell software to the government, or get FedRAMP**, we’d be grateful for an introduction. Email us at [founders@archon.inc](mailto:founders@archon.inc)\n* **If you want to sell to government, what technology do you use?** Our SDK is only available for NodeJS to start. Let us know what tech stack you use with [this form.](https://forms.office.com/r/m5vPfmqVP3)",
        "url": "https://www.ycombinator.com/launches/MjS-archon-fast-track-selling-software-to-government",
        "votes": 26,
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    "long_description": "City building departments are understaffed and overworked. Meanwhile, builders lobby to remove power from building departments. Because building departments are usually the only profitable/self-sustaining branch of a local government, this is problematic. Permitify allows city build-plan reviewers to 10x their productivity covering the labor shortage, reducing the time required to issue a building permit, and allowing the city government's only profitable branch to stay intact.",
    "one_liner": "AI co-pilot for building plan review and building code compliance",
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    "all_locations": "San Francisco, CA, USA",
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        "full_name": "George Cheng",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cheng-george/",
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        "full_name": "Dylan Nguyen",
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        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/code-four/jobs/MSOzEim-account-executive",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
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        "role_type": null,
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      {
        "id": 90692,
        "title": "Code Four – Bringing Our Cops Home",
        "tagline": "Code Four handles paperwork and frees officers from administrative burdens.",
        "body": "#### **TL;DR**\n\nWe auto-generate reports, verify narratives, and surface evidence instantly — cutting desk time by 60% and putting officers where communities need them most.\n\nhttps://youtu.be/5K72MBx20fg\n\n#### **👮‍♂️ The Problem**\n\n* **40% of a typical shift** vanishes to transcribing body-cam footage, filling forms, and locating clips across siloed systems.\n* Manual redaction and video scrubbing **delay** investigations, **strain** budgets, and **erode** public trust.\n* Departments **juggle 8–10 incompatible** software tools that weren’t built for today’s fast-paced operations\n\n#### **🚓 Our Solution – the Intelligence Layer for Digital Evidence**\n\n1. **Real-time transcription & summarization** — every body-cam or interview video becomes searchable text + key-frame timelined.\n2. **One-click redaction** — faces, plates, minors’ voices, and PII are masked with CJIS-compliant logs.\n3. **Context-aware search** — ask “show me every time suspect #42 handled a weapon” and jump straight to the frames.\n4. **Autofilled narrative reports** that match your RMS schema and chain-of-custody rules.\n5. **Plug-and-play integrations** with leading body-cam vendors, evidence lockers, and CAD/RMS APIs—no rip-and-replace.\n\n#### **👥 Team**\n\nGeorge Cheng, Dylan Nguyen, and Natnael Kahssay started Code Four inside their dorm rooms at MIT and dropped out to continue building the next generation of police tech. We’ve processed hundreds of videos and know every pain point from ride-alongs to record rooms.\n\n![uploaded image](/media/?type=post&id=90692&key=user_uploads/2369150/be5e77c0-a578-4632-873a-a4faf530de19)\n\n#### **🙌 Our Ask**\n\n* **Intros to Police, Sheriff, Transit, or University PDs** that wrestle with video or paperwork overload.\n* **Design-partner agencies** (10–200 officers) willing to co-shape features.\n* **We’ll fly anywhere in North America to set you up within 48 hours—no strings attached.**\n\nEmail → [founders@codefour.us](mailto:founders@codefour.us)   \n\nCalendar →[ https://cal.com/codefour/30min](https://cal.com/codefour/30min)   \n\nWebsite →[ https://www.codefour.us](https://www.codefour.us)\n\n**Code Four. Built for Heros. Made to bring them home.**\n\n![uploaded image](/media/?type=post&id=90692&key=user_uploads/2369150/8c0bbba7-4edd-42c3-8efd-12facc362e44)\n\n",
        "url": "https://www.ycombinator.com/launches/Nam-code-four-bringing-our-cops-home",
        "votes": 29,
        "created_at": "2025-05-23T21:20:05.965Z"
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    "name": "EffiGov",
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        "title": "EffiGov - The AI Call Center for Local Governments",
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        "body": "EffiGov is a Voice AI call center for local governments that answers constituent questions, files service requests, and routes calls to the right department. Today, residents calling city hall are often bounced between departments, asked to repeat themselves, and left waiting for answers - a process that frustrates the public, exhausts staff, and slows governments down. \n\nFewer than 2% of cities can afford a centralized 311 call center to fix this - for everyone else, it’s been cost-prohibitive. We change that. \n\nWith EffiGov, cities get 24/7 coverage, reduced staffing strain, and fewer misroutes. Residents get answers and action in one call - day or night.\n\nWe’re already live in a county of 160,000 residents, where EffiGov is handling constituent service calls around the clock. Here’s a photo from our onsite visit with their Assistant County Administrator:\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfQ0o-fGuHAxsodOLezKjnidHiR4FLxtQvDCkCveHfG-uJSO1BrBvYu75RVNwnfWH6Yry05sUNHJmlxE8JiUrx7OJNurz1EhJcDehnQckFeyygi6TeTfTcwanXncl-7b7crxOOE6A?key=O0mj2zmftTTinKhFm2HN-w)\n\nWho we are: We’re friends from college who’ve been building govtech for the past 12 months. Aubteen is a former White House intern who has spent years working with local governments; Aden launched Atlassian’s AI agent, Rovo.\n\nOur ask: Know someone in city government - especially leadership or constituent-facing services? We’d love an intro. [founders@effi-gov.com](mailto:founders@effi-gov.com) \n\n_Every call answered. Every constituent heard. Every community served._\n\nhttps://youtu.be/lRKtludzPk8\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdQZXqkxVMvDHbNaZXIzCPN7bKXkK4RiLPeRB6NZXGzsDE7gOfHR46L7FtGP8xZaJZokLu_5X8CsEUsNtA8fOhAJmUHbIe1lXa7b1PgIYPvrhZbq2xQFbRsrNjY8ZAo9GNRvtJh?key=O0mj2zmftTTinKhFm2HN-w)\n\n",
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        "title": "Lakonia: AI-Powered Tactical Command and Control Software",
        "tagline": "Lakonia is building the next generation of command and control software to enhance the operations of first responders, law enforcement, and the military.",
        "body": "Hi! We’re [Gordy](https://www.linkedin.com/in/gordysun/) and [Justin](https://www.linkedin.com/in/justin2028/). We’re excited to publicly announce what we’ve been building at Lakonia.\n\n**TL;DR:** Lakonia’s AI Command and Control platform acts as a tactical assistant by listening to radio communications and using AI to automatically extract key intel, map units, and recommend actions. We give first-responder, law enforcement, and military teams the situational awareness they need to make better, faster decisions.\n\nhttps://www.youtube.com/watch?v=DrVPw4CVzxU\n\n# **The Problem:**\n\nPolice and military command and control technology is terribly archaic and outdated. Commanders in a central post rely almost entirely on fragmented radio chatter to understand complex situations, forcing them to build a mental picture from scratch on every incident/situation. And current software is woefully outdated - unintelligent and unintuitive.\n\n![uploaded image](/media/?type=post&id=95135&key=user_uploads/2944902/726ea501-6ff8-446d-9b30-a7fc9a3028fd)\n\nThese issues only get exacerbated during multi-agency operations, where different departments (like SFPD and CHP), military branches, or even allied forces cannot communicate seamlessly. Communication siloes, different cultures of radio etiquette, chains of command, etc. all make command and control even more difficult.\n\nAnd while at times this is just a daily annoyance, when it’s a matter of life or death, these communication breakdowns become **fatal**.\n\n# **Lakonia’s Solution:**\n\nOlympus is an **intelligent, real-time co-pilot** that plugs into existing radio networks, transforming chaotic voice chatter into a **clear, actionable operational picture.**\n\nOur AI engine works in real time by:\n\n**- Transcribing and diarizing** every transmission to identify who said what\n\n**- Parsing transmissions** to analyze and automatically tag critical information - for example, pinpointing addresses on a map, logging license plates, and identifying calls for backup\n\n**- Highlighting** the most urgent events and suggesting relevant next steps, **turning raw audio into structured intelligence**\n\n![uploaded image](/media/?type=post&id=95135&key=user_uploads/2944902/c78d42a9-f060-4024-a5e8-aac1466ad28d)\n\n![uploaded image](/media/?type=post&id=95135&key=user_uploads/2944902/4275d0a3-6853-4605-a15d-494eb39b5657)\n\n![uploaded image](/media/?type=post&id=95135&key=user_uploads/2944902/23e29921-35dc-449d-aa21-ea8880019c80)\n\nWe’ve also built a **mobile “Pip-boy” platform** for operators to access so that they can also be aware of what’s going on aside from their radio. This dual approach dramatically reduces the cognitive load on personnel at every level, empowering teams to make faster, smarter, and safer decisions when it matters most. \n\n![uploaded image](/media/?type=post&id=95135&key=user_uploads/2944902/5f679af9-289c-4cfb-80f3-fc8ba440b2e0)\n\nFor dispatchers and commanders, our software means less time spent clarifying details or trying to keep track of officer availability and statuses. For operators in the field, our software means less time waiting for dispatch to respond and better situational awareness in tactical environments.\n\nWe built Olympus with a deliberate focus on security, performance, and scalability. We rely on **no third party APIs**, allowing us to even operate in denied environments through mobile platforms. We are at FedRamp and CJIS-equivalent levels of compliance, utilizing AWS GovCloud for services. All the models we use are open-source models we fine-tuned ourselves.\n\nThis modular foundation allows us to rapidly integrate new capabilities. Our future roadmap includes advanced features like live drone feeds, computer vision analysis, and real-time language translation.\n\n# **About Us:**\n\nWe’re two Stanford engineering students who left after our freshman year to go build the tools that our public safety and military teams deserve. In designing and building our platform, we were heavily inspired by RTS video games we’ve played as intuitive interfaces for delivering critical information to players. We wondered why law enforcement and the military don’t have similar tools and decided to go build them ourselves.\n\n![uploaded image](/media/?type=post&id=95135&key=user_uploads/2944902/353cbfd1-d5fd-42e6-9d2d-5abbe867d7bc)\n\n# **Our Ask:**\n\nWe are looking for introductions to innovative leaders in public safety and defense who want to utilize our platform.\n\nOur ideal contacts are decision-makers (e.g., Chiefs, Sheriffs, Commanding Officers, Heads of Security) in:\n\n* Law Enforcement (Municipal Police, Sheriff's Offices, Transit/Campus Police)\n* Military (Infantry, Artillery, Armor, National Guard, Special Operations units)\n* Emergency Services (Fire, EMS)\n* Private Security (Corporate campuses, large venues, critical infrastructure)",
        "url": "https://www.ycombinator.com/launches/OkR-lakonia-ai-powered-tactical-command-and-control-software",
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        "full_name": "Gleb Hulting",
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        "title": "GovGuard — Automating government workflows, starting with FOIA 🏛️",
        "tagline": "AI agents for FOIA and public records",
        "body": "Today, when a city gets a public records request, the process is still painfully manual.\n\nCity clerks have to hunt through archived emails, meeting minutes, PDFs, and shared drives just to find the relevant records. Many offices still manually black out sensitive information with a Sharpie, line by line.\n\nLocal governments spend billions processing these requests. It’s slow, expensive, and a large request can create massive backlogs. If a city misses the deadline for a request, they can be sued for failing to comply with public records law.\n\nGovGuard uses AI agents to automatically search across years of records, flag sensitive information for redaction, and prepare draft response letters for review. Our redaction engine handles harder edge cases like trade secrets and privileged material. Legacy tools require clerks to manually cite state codes for every redaction, while GovGuard is built with these exemptions.\n\nLaunch Video:\\\n<https://youtu.be/9yc6RL2jSBY>\n\nThe new surge of AI-generated requests are overwhelming clerk offices. Most cities we speak with are seeing request volume grow 2x year over year, with no increase in staff. The tools they have today are basically Jira. They help manage the ticket/request, but not complete the work.\n\nThanks y’all.\n\n**Aditya & Gleb**",
        "url": "https://www.ycombinator.com/launches/Q1V-govguard-automating-government-workflows-starting-with-foia",
        "votes": 23,
        "created_at": "2026-04-22T17:54:00.022Z"
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    "id": 32189,
    "name": "Verdant",
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    "website": "https://www.verdantapp.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Verdant sells AI agents to local government to make them more efficient. We're starting with permitting, the highest-volume workflow in local government that requires judgment. \r\n\r\nMany startups fail to sell to government, but not us - we've processed 200+ applications and gone from 0 to 4 paid deployments across 4 states with an average close time of 4 weeks.",
    "one_liner": "AI Agents to Make Local Gov Efficient",
    "team_size": 2,
    "industry": "Government",
    "subindustry": "Government",
    "launched_at": 1782774541,
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    "batch": "Summer 2026",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
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        "body": "Local governments are the backbone of industrial development - through zoning codes, they determine where, when, and how anything gets built.\n\nToday, data centers are landing in cities whose zoning codes never imagined them, and local governments are scrambling to respond. They need months of work before a single line of new code gets drafted - that means comparing their code with other cities, checking for consistency with state law, and more.\n\n![uploaded image](/media/?type=post&id=113860&key=user_uploads/1527348/6d052667-b707-4790-a425-c4173d7010dd)\n\nWe built Verdant Code to compress months into days. We automate the sourcing and the analysis so cities spend their time on judgment instead of data retrieval. Long-range planning work that used to take a six-figure consultant engagement now happens in-house as cities intended.\n\n![uploaded image](/media/?type=post&id=113860&key=user_uploads/1527348/cd930e43-f7cd-4c12-ade6-8d6d330d081f)\n\nData center development is a symptom of a larger problem with America's industrial base. Local governments run the code and permitting decisions that gate industrial development, but they run them on decades-old workflows. Local governments spend $11B a year on this work, yet development stalls anyway.\n\nAmerican zoning codes have not caught up with American innovation. It's time for that to change.",
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        "title": "Verdant: helping cities process permits faster",
        "tagline": "Modern permitting and planning software for local governments",
        "body": "**TL;DR:** \n\nVerdant is building the modern tech infrastructure for local government, and we’re starting with end-to-end permitting software that dramatically cuts local government permit review time. \n\nWe help applicants file complete, compliant applications upfront, then help staff review them - our AI reads documents, plans, and diagrams, then flags issues and drafts the final report. \n\n**Launch Video**\n[ ](https://drive.google.com/file/d/1e5VeQc-NIrlNqIHZP-ASPhuE9DwUzouM/view?usp=sharing)\n**Our story**\n\nWhile studying international politics at Georgetown, I spent three years in and around government (Capitol Hill, then DOJ and Deloitte) and kept hitting the same wall: policy sets direction, but execution is throttled by legacy software. My co-founder Jason has worked in govtech for the past four years researching public benefits automation at Georgetown and building govtech products at Holly and Aidy (YC W24) for local governments.\n\nJason and I connected over our passion for improving local government processes. The people who keep cities running are stretched thin across understaffed offices, and we want to give them the capacity to do more of what they signed up for. After interviewing 200+ local government staff, we learned that permitting is one of their most painful processes and their software has not done enough to help.\n\n![uploaded image](/media/?type=post&id=104860&key=user_uploads/3242750/71ea38cf-11ee-427f-8a30-f9381d983c70)\n\n**What we’ve heard**\n\nPermit and entitlement review takes too long, and local government staff are overwhelmed. Applicants often apply with incorrect information, triggering rounds of back-and-forth with the government. And once complete materials are finally in, understaffed departments can’t review everything quickly enough. \n\nPandemic-era incumbent contracts are churning because staff are frustrated with expensive legacy systems that only intake and track permits – no automation involved. Our end-to-end solution picks up where those systems stop, automating the review itself to fix permitting where it's most broken.\n\n**What we’re building**\n\nSay a homeowner wants to renovate their house. Before anything else, they have to figure out which permits and entitlements they need. Verdant starts here: applications chat with an AI agent trained on the city ordinances to determine what to apply for. From there, we route applications to a Turbo Tax-style permitting intake portal that guides them through the application, answers their questions, and flags gaps before submission, so what lands on the staff's desk is correct and compliant.\n\nAfter submission, our AI helps building officials and planners run completeness checks on applications, flagging errors in site plans and drawings. When the application is approved, Verdant uses the context already gathered to draft the next deliverable, whether that's a staff report for the planning commission or a memo for city council.\n\nBeyond the permit lifecycle, Verdant also supports long-range planning: our ordinance research tools let local governments compare how other jurisdictions have written their codes so they have reference points when updating their own.\n\n**Our asks**\n\n* Reach out! If you work in local government (planners, building officials, community developers, city managers, etc.) we’d love to chat.\n* Spread the word! If you know anyone in the permitting or planning space, we’d love to connect with them.\n\n \n\n**Contact us at [founders@verdantapp.com](mailto:founders@verdantapp.com)**",
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        "body": "**TL;DR:** Chromie is the AI operating system for government contractors. We help teams find opportunities before the RFP drops, build the right relationships, test win strategies against real data, and draft winning proposals. All on top of a company brain that remembers everything your team has ever learned.\n\n<https://youtu.be/6ZGxJlFgCgI>\n\n\\\n**The problem**\n\nThe U.S. government is the largest buyer on earth, spending $800B on contracts every year. Yet the business is fundamentally relationship driven. Winning depends on understanding the agency, finding opportunities earlier than your competitors, and applying judgment built over years. \n\nToday, that work runs on gut instinct, fragmented tools, and institutional knowledge that disappears when people leave.\n\n**What Chromie does**\n\nChromie surfaces agency signals and expiring contracts years before an RFP is posted publicly, giving capture teams time to understand the customer and shape a credible pursuit.\n\n![uploaded image](/media/?type=post&id=109881&key=user_uploads/2373564/7796de7e-c1c5-4a18-b1ce-7036de7414dc)\n\nFrom there, teams can qualify opportunities, develop teaming and pricing strategies, and compare potential win strategies without wasting resources. Chromie’s PWin models are backtested against millions of verified award outcomes, helping teams augment intuition with evidence.\n\nOnce a team decides to bid, Chromie carries that strategy into proposal development. It maintains a **company brain** that connects capture, proposal, and contract-execution knowledge in one shared foundation, so each pursuit benefits from the company’s past experience.\n\n![uploaded image](/media/?type=post&id=109881&key=user_uploads/2373564/899638cb-afd8-40d6-81c5-e625eba27b75)\n\nWhat your team learns today strengthens the next pursuit.\n\n**Traction**\n\nChromie already supports contractors with 100+ prime awards and more than $250M in obligated contract value. These teams have used Chromie to 3x their monthly proposal output and win new awards.\n\n![uploaded image](/media/?type=post&id=109881&key=user_uploads/2373564/8292fe04-c346-49ba-9a3c-836b09c75f60)\n\n**Who we are**\n\nWe're Ananth and Akshay. We met in a high school English class and have been building together ever since. Between us we've built and scaled infrastructure at Google, LinkedIn, Plaid, and Amazon. We’re developing Chromie alongside former federal contracting officers and acquisition leaders with decades of government experience.\n\n**Our ask**\n\nWe'd love to connect with:\n\n* Government contractors, especially capture, BD, and proposal teams\n* Startups and companies trying to break into government contracting \n* GovCon and federal-sales experts willing to share what they’ve learned :)\n\nContracts are won by the companies that start earliest, remember most, and test how to win instead of guessing. If that's you, or you're trying to get there, reach out.\n\nLearn more at [chromie.dev](http://chromie.dev), or email [founders@chromie.dev](mailto:founders@chromie.dev) to find your company's fit in government contracting 🧩\n\n![uploaded image](/media/?type=post&id=109881&key=user_uploads/2373564/26ff0c87-9129-4af4-b345-f797f269e874)\n\n",
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        "full_name": "Riwan Azeroual",
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