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    "website": "http://www.tasker.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Tasker is an AI assistant for everyday work and life to-dos. Tasker is able to perform complex tasks from a single prompt by using multiple tools. ",
    "one_liner": "Your AI co-worker",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B",
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      "AI Assistant"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/tasker-ai",
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    "year_founded": 2020,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/taskerai/",
    "x_url": "https://twitter.com/taskerhq",
    "fb_url": "https://www.facebook.com/TaskerHQ",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b029364b4690cea881329d5e60d810a2d1ff05fd.png",
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      {
        "user_id": 346822,
        "full_name": "Ahmed AJ",
        "title": "Founder",
        "founder_bio": "Co-founder of Tasker AI, an AI Assistant for everyday work and life. We are re-imaging human-computer interaction. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ahmedajsf/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/379eae9b3f6b10095b99153269ecec81e00111a7.jpg"
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      {
        "id": 92702,
        "title": "Tasker AI: Your Personal AI Assistant",
        "tagline": "Reschedule meetings, summarize emails/webpages, build mini apps, and even plan a night out — all from one place.",
        "body": "Hey everyone, this is Ahmed, co-founder of[ Tasker AI](http://www.tasker.ai/) 👋\n\nTLDR: **Tasker AI** is your AI teammate for daily tasks – reschedule meetings, summarize emails/webpages, build mini apps, and even plan a night out — all from one place.\n\nTry it: [playground.tasker.ai](http://playground.tasker.ai)\n\n[Video](https://www.youtube.com/watch?v=U6RccsEyfgE)\n\n\\\nWe are building an AI assistant for everyday work & life. Tasker AI takes actions by completing work on your behalf. **_It's like your intern or co-worker._**\\\n\\\nTasker helps manage recurring daily tasks. That’s why we’re including unlimited email and calendar-based tasks for free to everyone🎊🎉.\n\n**The problem**\n\n* We spend 2-3 hours every day on busy work. That’s a whole month every year!\n* Context switching & burnout is a massive problem.\n* Too many tools handle tiny specific tasks, fragmenting productivity and increasing friction.\n\n**The Solution**\n\nA general-purpose agent that can handle complex tasks.\n\n**What can you do today with Tasker?**\n\nHere are some additional uses:\n\n📅 Reschedule meetings – just CC [assistant@tasker.ai](mailto:assistant@tasker.ai)\n\n![uploaded image](/media/?type=post&id=92702&key=user_uploads/346822/bdab016a-b0a8-436e-82b1-4cb776a3318d)\n\n📰 Summarize newsletters automatically\n\n![uploaded image](/media/?type=post&id=92702&key=user_uploads/346822/dd6b670d-66c6-4273-9739-6747743580a1)\n\n\\\n🌐 Summarize or automate tasks from any webpage with our browser extension\n\n![uploaded image](/media/?type=post&id=92702&key=user_uploads/346822/de49a181-b8b7-4c00-9698-38bcbbc7da74)\n\n📄 Build a landing page (with editable Google Sheet backend) – perfect for waitlists or microsaas\n\n![uploaded image](/media/?type=post&id=92702&key=user_uploads/346822/420fa23f-c2a5-43ee-bea4-34276f14d235)\n\nAnd much more!\n\nWhat other things could it do?\n\n🛍 Turn a recipe video into a shopping list\\\n🔁 Schedule recurring tasks like event searches\\\n✅ Putting the ingredients from a recipe video into a shopping cart; and\n\n🍽 Plan an entire date night – from Uber to OpenTable to movie tickets – in one go by connecting those apps.\\\n⚙️ Deep integration with Google Apps – build light-weight apps without writing code.\n\n**Our Ask**\n\nTry Tasker out today[ ](https://playground.tasker.ai/)[playground.tasker.ai](http://playground.tasker.ai) 👏\n\nLearn more at [tasker.ai](http://tasker.ai) & follow us on [X](https://x.com/TaskerHQ).\n\nYou can see some use cases in action in our Reddit community: https://www.reddit.com/r/TaskerAI/\n\nWe are still collecting feedback. If you try something and it doesn't work like you think it should, please tell us, and we will work with you to make your use case work.",
        "url": "https://www.ycombinator.com/launches/O7C-tasker-ai-your-personal-ai-assistant",
        "votes": 9,
        "created_at": "2025-08-04T15:08:32.453Z"
      },
      {
        "id": 86940,
        "title": "Tasker AI: Automate Your Work",
        "tagline": "Access our swarm of agent executive assistants with web navigation capabilities",
        "body": "Hey everyone, this is Ahmed, co-founder of [Tasker AI](http://www.tasker.ai/) 👋\\\n\\\nWe built a tool that connects with SaaS apps and websites you use daily, automating complex workflows and executing deep research.\n\n# **The Problem**\n\nTask automation on the internet is a complex and challenging process ⚙️\n\n* There are many data sources without APIs. AI agents struggle to access them 🌐. \n* Traditionally, businesses had to ask developers to write scripts to access data they wanted to monitor 🛠️. \n* There are lots of workflow builders. However, this approach still requires technical know-how, making it inaccessible for many users 🙅‍♂️🙅🏻‍♀️.\n* Data is siloed among many different SaaS applications 🚧.\n\n \n\n# **Our Solution**\n\n[video](https://youtu.be/3vLztxJghR4)\n\n\\\nWith Tasker AI’s natural language chat interface, users can assign tasks and create automations through plain English instructions. Simply describe what you want to accomplish. The system automatically converts these inputs into step-by-step actions, providing visual feedback and validation at every step.\n\n# **Features**\n\n**Deep Search**\\\nTasker evaluates webpage structure in real time. Agents navigate & adapt to changes with built-in error recovery & retry mechanisms. \\\n**Smart Outputs**\\\nTasker collects the information and aggregates it in CSV, Google Docs etc.\\\n**Automatic Scheduling** \\\nSet all your tasks in your preferred cadence.\\\n**Agentic Workflows**\\\nTasker is able to connect to all your apps and compose workflows in plain English.\n\n# ⬇️ ⬇️ ⬇️\n\n# **Apply for access** [**here**](https://51l9vfhgn41.typeform.com/to/lxVmgAOn)\n\nLearn more at [tasker.ai](http://tasker.ai) & follow us on [X](https://x.com/TaskerHQ). \\\nThe platform is built on TaskNet, an open-source agentic infrastructure layer. If you want to be involved, join our [Discord community](https://discord.gg/4Xt4ZM4pfD).",
        "url": "https://www.ycombinator.com/launches/McG-tasker-ai-automate-your-work",
        "votes": 18,
        "created_at": "2025-01-17T22:40:57.371Z"
      }
    ]
  },
  {
    "id": 13620,
    "name": "LFcarry",
    "slug": "lfcarry",
    "former_names": [
      "Rocket Games Entertainment LLC",
      "Rocket Games Entertainment Inc",
      "Legionfarm",
      "Legionfarm Group",
      "LegionFarm",
      "LegionFarm",
      "LegionFarm Group",
      "LegionFarm",
      "LegionFarm Group",
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      "LegionFarm Group",
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      "Legionfarm"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d52139d69bb434e6d76a4140915a34125b981220.png",
    "website": "https://lfcarry.com/",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "LFcarry (formerly LegionFarm) is the world's top AI-powered marketplace for gamers to hire elite pros (top 1%) for coaching, carry, boosting and pro analytics in AAA games like WoW: Forever, Destiny 2, Call of Duty, GTA 6, Apex Legends and 40+ other games. Founded in 2016, YC-backed (W20) with $17.8M raised from 20+ investors, we've served 250k+ users via two web platforms and five messenger bots, creating 10k+ jobs for Pros worldwide.\r\n\r\nCurrent services include WoW Forever, WoW Forever power leveling and Modern Warfare 4 pre-orders. Customers can browse options and pricing on LFCarry before coordinating with a professional player.\r\n\r\nIn Q2 2026 we've launched a specialized gaming SEO/page building AI tool that is operating on pro analytics training data and autonomous AI research&engineering loops available at https://lfcarry.com/guides and it became the fastest growing product marketing case in video games so far, recording a 60x+ organic monthly impressions growth with 2.5M weekly impressions across gaming guides, tier lists, weekly activities and game time planning in major AAA games. At the same time we have all operations automated for coaching, carry and boosting services that our customers can purchase from Pros at our marketplace at https://lfcarry.com/",
    "one_liner": "Marketplace for game boosting, carries and coaching",
    "team_size": 3,
    "industry": "Consumer",
    "subindustry": "Consumer -> Gaming",
    "launched_at": 1584077204,
    "tags": [
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      "AI",
      "AI Assistant"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2020",
    "status": "Active",
    "industries": [
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      "Gaming"
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    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/lfcarry",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2020/lfcarry.json",
    "year_founded": 2016,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/28748494",
    "x_url": "https://x.com/legionfarm",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/legionfarm",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d52139d69bb434e6d76a4140915a34125b981220.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 428986,
        "full_name": "Aleksei Beliankin-Bauer",
        "title": "Founder",
        "founder_bio": "Entrepreneur | YC W20 Founder | Forbes 30u30 | Chief of Everything | AI automation veteran",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aleksei-beliankin-bauer/",
        "x_url": "https://x.com/ABeliankin",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7793be51d1b58e596609a56552a6e3d7323f321c.jpg"
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    ],
    "jobs": [
      {
        "id": 71028,
        "title": "AI Product Engineer",
        "url": "https://www.ycombinator.com/companies/lfcarry/jobs/E5fGAv2-ai-product-engineer",
        "location": "San Francisco, CA, US / London, England, GB / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$70K - $140K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Legionfarm, pairing pro gamers with amateurs, raises $6 million Series A | TechCrunch",
        "url": "https://techcrunch.com/2021/05/13/legionfarm-pairing-pro-gamers-with-amateurs-raises-6-million-series-a/",
        "date": "Sep 01, 2021"
      },
      {
        "title": "LegionFarm, A B2C Esports Y Combinator Startup, Enables Amateurs To Be Trained By Professional Gamers",
        "url": "https://www.forbes.com/sites/frederickdaso/2020/03/16/legionfarm-a-b2c-esports-y-combinator-startup-enables-amateurs-to-be-trained-by-professional-gamers/",
        "date": "Mar 16, 2020"
      },
      {
        "title": "YC-backed Legionfarm lets competitive gamers pay to play with pro coaches | TechCrunch",
        "url": "https://techcrunch.com/2020/03/12/yc-backed-legionfarm-lets-competitive-gamers-pay-to-play-with-pro-coaches/",
        "date": "Mar 12, 2020"
      }
    ],
    "launches": []
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  {
    "id": 22002,
    "name": "BIK",
    "slug": "bik",
    "former_names": [
      "Bikayi"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1ebdc405c3ca51343a4618334a44bd440fb598ca.png",
    "website": "https://bik.ai/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "A place where you can spin off commerce agents or build your automation across the funnel of acquisition, retention & support. \r\n\r\nThe single place where you can handle everything you need for your ecommerce / retail business when it comes to marketing & support.",
    "one_liner": "Agentic AI CRM for ecommerce",
    "team_size": 55,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1599762606,
    "tags": [
      "SaaS",
      "B2B",
      "E-commerce",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2020",
    "status": "Active",
    "industries": [
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      "Retail"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/bik",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/bik.json",
    "year_founded": 2019,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/bikglobal/",
    "x_url": "",
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    "cb_url": "https://www.crunchbase.com/organization/bikglobal",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1ebdc405c3ca51343a4618334a44bd440fb598ca.png",
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    "company_photos": [],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 341432,
        "full_name": "Sonakshi Nathani",
        "title": "Founder",
        "founder_bio": "Customer is King & Heart for Design.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sonakshi-nathani-473abb41/",
        "x_url": "https://twitter.com/SonakshiNathani",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/237141c37eceab1459c9dbb5c0669da785603454.jpg"
      },
      {
        "user_id": 273257,
        "full_name": "ASHUTOSH SINGLA",
        "title": "Founder",
        "founder_bio": "Passionate about programming and solving problems with the use of technology. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ashu1461/",
        "x_url": "https://twitter.com/theratdr",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a44aed27bf48fc77e5748782a53506582228c6b6.jpg"
      }
    ],
    "jobs": [
      {
        "id": 88152,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/bik/jobs/MewNUmm-founding-account-executive",
        "location": "New York, NY, US / US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$75K - $150K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "YC Backed B2B Startup Bikayi Raises $10.8 Mn Led By Sequoia Capital India",
        "url": "https://inc42.com/buzz/yc-backed-b2b-startup-bikayi-raises-10-8-mn-led-by-sequoia-capital-india/",
        "date": "Sep 02, 2021"
      }
    ],
    "launches": [
      {
        "id": 94820,
        "title": "Bik.ai: World’s First AI Commerce Agents Marketplace",
        "tagline": "Today, we’re launching the world’s first AI Commerce Agents Marketplace - built for every eCommerce brand that’s tired of stacking 20+ eCommerce plugins.",
        "body": "![uploaded image](/media/?type=post&id=94820&key=user_uploads/341432/0db1a090-c5b5-453d-8732-d1b4142ae1d2)\n\n**TL;DR** eCommerce Brands, → its time to say good bye to Shopify plugins. :)\n\ninstead of investing heavily on multiple tools and plugins to handle your acquisition, support, retention, can now just spin off **AI commerce agents** for their Brand.\\\n\\\nNo need to onboard 20+ tools or hire 5 new people to scale your eComm Brand.\\\n\\\nNo tools. No humans.\n\n### Problem & the Solution.\n\n**Example** : Trouble with **refunds** because of size issue? \\\n**Solution** : Enable **Size Guide AI** agent to help your shoppers from our marketplace.\n\n**Example** : Struggling to handle inbounds from Influencers on Insta DM?\\\n**Solution** : Build an **Influencer shortlisting DM agent** using our Agent studio builder\n\n**Drum rolls 🥁.**\n\nHere is a sneak peak of how it looks :\n\n![uploaded image](/media/?type=post&id=94820&key=user_uploads/341432/9473b2ad-3c69-4da3-9699-78284c1a23ff)\n\nhttps://www.youtube.com/watch?v=PF4TnsHh2nI\n\n### How to works?\n\nThe crazy part? → Its amazingly easy to set it up.\n\nJust type in your prompt for :\n\n1. **Goal** → **(Reduce support load, increase revenue by xx%)**\n2. **Instructions**\n3. **Success criteria**\n\nGet realtime updates on the Agent’s performance: 👇🏼\n\n![uploaded image](/media/?type=post&id=94820&key=user_uploads/341432/6c9edeb5-28b7-4f19-b93d-842e68882d8a)\n\nYou don’t need to train AI at multiple places, because BIK.ai takes care of everything when it comes to marketing & support for eCommerce Brands.\n\n![uploaded image](/media/?type=post&id=94820&key=user_uploads/341432/d6e63f5c-48ee-43f6-a21b-490a013532d5)\n\n**Train it once.**\n\n**Deploy it everywhere** (email, text, Instagram, messenger, whatsapp) or on website.\n\n**Relax for a lifetime.**\n\n### Ask:\n\nGive it a shot if not already, you can onboard us\n\n✅ No contracts\\\n✅ No onboarding cost\\\n✅ Begin with 1 agent — scale as you grow\\\n✅ Setup: 100% white-glove service — my team trains your AI and takes it live\n\nCheck it out here - https://getmanifest.ai/ai-commerce-agents\n\nWrite me at [sonakshi@bik.ai](mailto:sonakshi@bik.ai) if you would like to take your 1st step towards future today.",
        "url": "https://www.ycombinator.com/launches/OfM-bik-ai-world-s-first-ai-commerce-agents-marketplace",
        "votes": 89,
        "created_at": "2025-10-22T17:11:46.471Z"
      },
      {
        "id": 81809,
        "title": "⭐️ 💖 Manifest AI - Introducing AI Shopping Pages",
        "tagline": "Manifest AI helps brand deploy AI shopping assistants. Today, we're launching AI shopping pages.",
        "body": "TL;DR eCommerce Brands, instead of getting their visitors to their static storefronts, can now how have a dedicated landing page with an AI shopping experience— trained on their eCommerce store + Sales data.\n\n—\n\nHey Fam, we're Sonakshi and Ashutosh, and we're founders of [Manifest AI](https://getmanifest.ai) (it’s a product by [BIK](https://bik.ai)). We're on a mission to re-imagine how eCommerce is done today using Generative AI.\n\n**❓The Problem**\\\n96% of online visitors drop off after visiting a Brand’s website because of multiple reasons, such as not getting what they wanted or not knowing where and how to find what they want.\n\n**⭐️ Solution**\n\n[Manifest AI](https://getmanifest.ai)’s shopping page allows brands to have a fully personalised AI shopping experience for each visitor where they can ask what they want, for example, “I have a date night, pls suggest something in black?” Manifest AI enables product recommendation, engagement & purchase depending upon the intent of the visitor.\n\n**⚙️ How it works**\n\nAs soon as you sign up for [Manifest AI](https://getmanifest.ai), the LLMs gets trained on your eCommerce store & sales data, and generates an AI shopping page, the page can have different URLs depending upon the ads campaign making the AI shopping page to give a very personalised experience to each user. It takes care of search, product recommendation, and support on your storefront. It acts like a human sales agent on your eCommerce website.\n\n👉🏼 Watch the full video [here](https://www.youtube.com/watch?v=K4K_uE0RkQI)\n\n**💙 Manifest AI is contributing to real sales**\n\n![uploaded image](/media/?type=post&id=81809&key=user_uploads/341432/647489df-7448-48a0-a5b1-9123db34bf0d)\n\n**👉** You also get the Training quality score of your AI on the Manifest Dashboard.\n\n![uploaded image](/media/?type=post&id=81809&key=user_uploads/341432/80378219-9406-4ab5-acf8-cdb66f063c1f)\n\n👉 You can set up different URLs & experiences for your ads campaign.\n\n![uploaded image](/media/?type=post&id=81809&key=user_uploads/341432/bb32fc2d-fac8-46cf-9a18-ea4a162ad4ba)\n\nAI also has the capability to generate real-time quizzes based on intent, keeping the visitors engaged.\n\n![uploaded image](/media/?type=post&id=81809&key=user_uploads/341432/afd9ca35-ec7f-44bc-bbe1-a94f7fb0dcc8)\n\n**🙏 Asks**\n\nIf you have any eCommerce brands in your network, request them to try [Manifest AI](https://getmanifest.ai)!\n\nFollow us on [Linkedin](https://www.linkedin.com/company/getmanifestai) 😊\n\nIf you have 30 minutes to chat about Manifest AI, please book a time with me [here](https://bit.ly/4cluvJH) or [DM me here](https://www.linkedin.com/in/sonakshi-nathani-473abb41/)",
        "url": "https://www.ycombinator.com/launches/LHV-manifest-ai-introducing-ai-shopping-pages",
        "votes": 208,
        "created_at": "2024-06-27T20:59:36.368Z"
      }
    ]
  },
  {
    "id": 22717,
    "name": "Avocado",
    "slug": "avocado",
    "former_names": [
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    "long_description": "Avocado is a modern point-of-sale system for restaurants, powered by a built-in AI agent. More than just a POS, Avocado combines order management, KDS, kiosks, and online ordering in one platform - and lets restaurants control everything with simple voice or text commands. Want to change your menu, check your sales, or optimize pricing? Just ask. Avocado’s AI understands your business and takes action instantly, freeing up owners and staff to focus on what matters most: great food and service.",
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        "user_id": 258127,
        "full_name": "Nick Evans",
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        "founder_bio": "Co-Founder and CEO of Avocado (avocadopos.com)\nCo-Founder and former CEO of Tile (tile.com)\nFormer hardware and software engineer\nLove products and people\nAustin, TX -> SF, CA",
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        "id": 91825,
        "title": "Avocado 🥑 Restaurant POS with a built-in AI agent",
        "tagline": "Run your restaurant with an AI agent that updates your menu, prices, and more",
        "body": "## **🚀 We’re launching Avocado – Restaurant POS with a built-in AI agent**\n\n👋 Hi YC! We’re Nick Evans and Shayan Guha, co-founders of **Avocado** - a point-of-sale system for restaurants that now includes a **fully integrated AI assistant**. We’re thrilled to share our biggest update yet.\n\n![uploaded image](/media/?type=post&id=91825&key=user_uploads/258127/ce5f4736-b005-49ce-b579-8bf8596ce1e8)\n\n---\n\n## **🧠 The problem: running a restaurant is overwhelming**\n\nIndependent restaurant owners juggle dozens of tools, dozens of vendors, and constant interruptions - all while trying to serve food and keep customers happy. Managing the POS, updating menus, pulling sales reports, figuring out Instagram posts, dealing with changing prices… it’s a full-time job _on top of_ their actual full-time job.\n\nBut the real bottleneck? **Information is trapped in systems that don’t talk to each other**, and most POS systems are clunky, hard to use, or just dumb.\n\n---\n\n## **🍳 The solution: an AI agent that _knows_ your restaurant**\n\nAvocado is a POS system designed from the ground up to work with an AI assistant. Our agent understands your menu, your modifiers, your sales data, your customers, your staff - and it can take action across the system in real time.\n\n![uploaded image](/media/?type=post&id=91825&key=user_uploads/258127/4f4d0889-0077-48bd-a427-72d160f30492)\n\nYou can ask it:\n\n* “Add a matcha latte to the menu for $5.50”\n* “What’s my best-selling item on weekends?”\n* “Update all egg-based items to reflect the new cost of eggs”\n* “Create a social media post featuring today’s specials”\n* “Tell me which servers had the highest tips last week”\n\n…and it just **does it**. Right away. No UI to navigate, no learning curve, no training required.\n\n💡 This is more than a chatbot. This is a **restaurant-native AI agent** with full control over the POS, KDS, kiosk, and online ordering systems - like having a superpowered GM in your pocket.\n\n---\n\n# **Check out our launch video here**\n\nhttps://www.youtube.com/watch?v=O2QaQdDJlb0\n\n---\n\n# **✨ Here are some examples from the video:**\n\n**Prompt** “Add a matcha latte to the menu”\n\n![uploaded image](/media/?type=post&id=91825&key=user_uploads/258127/f4589fd7-69da-40c2-8d3f-a16fd766dbad)\n\n**Prompt** “Write an Instagram post announcing our new matcha lattes”\n\n![uploaded image](/media/?type=post&id=91825&key=user_uploads/258127/3e7c0988-ed76-486c-b3e0-e96ecb21629f)\n\n**Prompt** “Raise all the prices of my egg dishes by 10%, round to the nearest quarter”\n\n![uploaded image](/media/?type=post&id=91825&key=user_uploads/258127/0bfaae04-2776-442b-b3ba-3679ecedf2c7)\n\n**Prompt** “We’re out of bacon. Mark everything with bacon as out of stock.”\n\n![uploaded image](/media/?type=post&id=91825&key=user_uploads/258127/2f4ec1fd-7ff8-4720-bce0-753093934587)\n\n\\\n**👩‍🍳 Why we built Avocado**\n\nWe’ve worked with restaurants for years and have seen the same story over and over: people want to focus on hospitality and food - not software. But they were stuck with outdated POS systems or janky integrations between too many tools.\n\nSo we built Avocado to be the _last_ system a restaurant needs - tightly integrated hardware + software, a beautiful POS UI, and now, a deeply capable AI agent.\\\n(Also, we were frustrated that nobody else had done it right. So we did.)\n\n---\n\n## **📣 Call to action**\n\nWe're looking to work with independent restaurants, food trucks, cafes, and anyone tired of using 5 different tools to run their shop. If you want to try Avocado or just want to chat about what we’re building:\n\n📬 Email us: [founders@avocadopos.com](mailto:founders@avocadopos.com)\\\n📱 Text us: (512) 580-7988\\\n🌐 Website:[ https://avocadopos.com](https://avocadopos.com)\n\n---\n\n## **🙏 Asks**\n\n* If you know restaurant owners - especially in Texas or California - please send them our way.\n* We’d love feedback on the demo and ideas for what the AI agent should do next.\n\nThanks YC - can’t wait to hear what you think.\\\n**Nick & Shayan**\n\n![uploaded image](/media/?type=post&id=91825&key=user_uploads/258127/00157e2d-711b-4e9d-a612-d43f7e95d3b3)\n\n",
        "url": "https://www.ycombinator.com/launches/Nt3-avocado-restaurant-pos-with-a-built-in-ai-agent",
        "votes": 18,
        "created_at": "2025-07-03T13:21:35.353Z"
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        "id": 76629,
        "title": "FirstSupport - AI assistant for Customer Support 🚀",
        "tagline": "FirstSupport gives customer support teams superpowers by automating translation, information retrieval, insights reports, tagging, and more.",
        "body": "**TL;DR**\\\nFirstSupport grants superpowers to customer support teams by automating translation, information retrieval, generating brand-aligned responses, summarizing conversations, generating insightful reports, and automating tagging.\\\n\\\nOne week following our launch on Zendesk Marketplace, our product has been used by e-commerce merchants using platforms like _Magento/Woocommerce/Shopify_, customer support outsourcing firms, and startups across Asia, Europe, and America. These companies serve customers from multiple countries who speak different languages, and they manage extensive knowledge bases.\\\n—\n\n---\n\n### Introducing, the Five “Superpowers”\n\n1- **Instant Response Drafting**\n\n![uploaded image](/media/?type=post&id=76629&key=user_uploads/376547/c2baeb66-ae16-4028-91bf-26aa6171e6cd)\n\nWhenever your customer support team opens a ticket, FirstSupport AI will automatically generate a response draft based on\n\n* Information on your knowledge resource (Zendesk Knowledge Base, Google Docs, PDF, Website, Sitemap, Past Ticket Conversations, and more) that you can connect in our dashboard\n* Information from the connected third-party platform (Shopify/Stripe/Woocommerce), or custom APIs such as your internal tool\n* Brand personality guideline for your company\n\nSo you can review and submit directly in one click. See how it works:\n\n![](https://bookface.ycombinator.com/media/?type=post&id=76629&key=user_uploads/376547/47643cc9-4c86-4d61-a2e9-11dcf6c97122)\n\n2- **Seamless AI-powered Translation**\n\nEnhance your global or multi-lingual customer support with FirstSupport.\n\n* Automatically detect the customer's language and translate the entire conversation into your preferred language\n* Write in your language and have it automatically translated into the customer's language\n\n![](https://lh7-us.googleusercontent.com/OVu1JRK7bP1Q-ojr53aC0TN13ofKr7PYPssKtMx9xx3hp1lzktWh_i-ICqSHT7yW3Hd_UEp0ieafsf-NbgQXcnOG2RMBQ-ylnXTaePUh4m1EFRyx3EsHR35VqZ0jhgOmiDjDa8sQbW846bdEPy9iDEw)\n\n3- **One-Click Ticket Summarization**\n\n![](https://lh7-us.googleusercontent.com/bkk8U-MrHGO30smMpmzS3680rTihlgL2xjpLMCTsoz0N6dZ5K5gvlE1IMWzgyjHqs0ztQFf3HdmW2Q1XToCyOqI4py2NpcmiOsdxZJtz6akS3U3iJ5EELtbrymDesswYeJyZEcTxotpUcepX-CxDpzc)\n\nSupervisors and L2 agents can quickly capture the essence of customer interactions with a simple click of the '**Summarize**' button.\\\nOur customizable summary formats enable the extraction of diverse data from each ticket, ranging from **product/customer information** to insights into **customer emotions** during the conversation, ensuring comprehensive and efficient overviews tailored to your specific business needs\n\nSee it in action:\n\n![](https://lh7-us.googleusercontent.com/X_yHCRD6i8gvzlQc8-nY85UH8oJ7PDg_DgM8mBL1Wr24InW5WH-Jsb5p-eomidHELzPtVnAcobB_D3JXe3Q4I8YE5z6vOHcJOphFGNOnKnXLwvBBRtPUR8azT8r2-SZAQ9XfqBsat2wnhHLlAS6B-X8)\n\n![](https://lh7-us.googleusercontent.com/i_NclnYzY0FBjZARKZ_Kp1LFPkG94wuGfSEENJQtygaeo-sdEd169bjVRAqzihuH60GZB2C9dV5WZXTG1INDaC5qiOJIF9R4L70lAf5ym1NCn0uKbhvCd6gLPjiu3RM6bnHwFuzisu0TK1-9_0OShZs)\n\n4- **Automated Tagging**\n\n![](https://lh7-us.googleusercontent.com/qkwM7qZeuVORv6IAwhqhwX--XnE29vam_WkOEzsqBe-fIvXCcU4xZEXxgpzTlCKH-3NTE-X3E4jdYF_7ngiiHvBqkJwY6PnRUxzPWkKdBpc-gL5t5aZKW442J96Mw9bkIAAYtb7bzdRnpx_8wgkGx4g)\n\nEasily assign relevant tags to your tickets with just one click. Customize your Zendesk tags directly in our dashboard for streamlined ticket management.\n\n5- **Insightful Report Generation**\n\n![uploaded image](/media/?type=post&id=76629&key=user_uploads/376547/2af89abb-f1e1-4f61-95db-3c6fddeac8b7)\n\nFirstSupport AI analyzes each customer interaction and support ticket to identify common issues, knowledge gaps, and immediate action steps. Additionally, you'll receive an email summary with detailed highlights attached.\n\n### **Try For Free (with exclusive support!)**\n\nYou can try our product by registering on our [web app](https://app.firstsupport.ai), or by installing it from [Zendesk Marketplace](https://www.zendesk.com/marketplace/apps/support/980970/firstsupport-ai-assistant/).\\\n\\\nWe offer a **two-week free trial** and **personalized onboarding support** directly from our co-founders (reach out to us via [hi@firstsupport.ai](mailto:hi@firstsupport.ai) mentioning that you found us through the YC Launch)\n\n### **Be Our Partner**\n\nIf you can refer us to:\n\n* Customer support BPO (outsourcing) companies,\n* E-commerce merchants using Zendesk,\n* or, you’re just interested in being our sales partner\n\nWe would love to chat. Please reach out to our email [hi@firstsupport.ai](mailto:hi@firstsupport.ai)\n\n—\\\nContact us at [hi@firstsupport.ai](mailto:hi@firstsupport.ai) for any requests, questions, or feedback. Cheers!",
        "url": "https://www.ycombinator.com/launches/Jvx-firstsupport-ai-assistant-for-customer-support",
        "votes": 13,
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    "long_description": "For Business Operators: Connect & automate processes on top of any data, crazy fast.\r\n\r\nFor Engineering Teams: Connect any data, across any stack, in any format, crazy fast.",
    "one_liner": "The Distributed Data Operating System",
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    "year_founded": 2019,
    "city": "San Francisco",
    "country": "US",
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        "full_name": "Pablo Ferrari",
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        "founder_bio": "Eclectic Engineer.\nCurrently director of engineering and staff engineer at Together,ai\n\nFormer management consultant at Bain & Company and AI consultant for the big firms.\n\nCo-founded the first credit scoring platform in Spain, Ibercheck, and the Spanish Shopify Tiendalista.\n\nYC W21 with multiple pivots, among them Processlabs.ai for dev teams, and Platypus the first data engineer AI agent.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/pablo-ferrari/",
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      {
        "user_id": 548679,
        "full_name": "Deepanshu Madan",
        "title": "Founder",
        "founder_bio": "Entrepreneur, full-stack software engineer, and Product Manager for developer tools, and enterprise AI agent products.\n",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/deepanshumadan",
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        "id": 79931,
        "title": "Platypus: The distributed data operating system",
        "tagline": "Data toolkit to manage distributed and real-time data 10x faster.",
        "body": "### **Platypus - The Distributed Data Operating System**\nPlatypus is a toolkit to help data engineers and technical founders manage their distributed and real-time data 10x faster. We help you organize and connect any data, across any stack, in any format. Fast.\n\n### **We are Looking for Feedback and Early Users**\nWe are offering Customized Support for our Early Access Program to founders and data engineering teams dealing with real-time and distributed data challenges - contact us at <https://getplatypus.com> or [send me an email](mailto:pablo@getplatypus.com).\n\n### **The Problem**\nManaging distributed data is tough and costly in an ever-evolving landscape where the concept of a \"modern\" data stack is rapidly aging, requiring **expert teams, multiple tools, and expensive resources**. On top of that, the Business teams **struggle to access** and use this data effectively.\n\n### **The Solution**\n**A** **customizable,** **real-time** **data platform that** **boosts data engineering productivity**. We simplify data with automation for data discovery, data management, and data pipeline creation while keeping data engineers in full control of their data architecture. We also allow business teams to self-serve the data and data activation they need.\n\n### **Any Data, Any Stack, Any Client.**\n\n![uploaded image](/media/?type=post&id=79931&key=user_uploads/68620/30cddba6-8d35-4789-af89-931119f5d610)\n\n![uploaded image](/media/?type=post&id=79931&key=user_uploads/68620/93556e53-3c5c-4c3f-9aaa-9a9c2129746c)\n\n![uploaded image](/media/?type=post&id=79931&key=user_uploads/68620/ff4714d4-5390-43fe-a6d3-2de472e45e82)\n\n### **Our Team**\n\nWe are data engineers with experience at big tech companies like Amazon and Intel. We’re eager to tackle your data challenges, from simple database replications to complex AI-driven data strategies.\n\nWe know our craft, we love it, and we want to help with your specific data challenges.\\\n<https://getplatypus.com> - [pablo@getplatypus.com](mailto:pablo@getplatypus.com)",
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    "all_locations": "Bucharest, Romania; Remote",
    "long_description": "Waydev maps AI velocity across the SDLC — built on DORA, SPACE, and DX — turning developer tool data into board-ready evidence of adoption, impact, and ROI.",
    "one_liner": "Engineering intelligence for AI transformation",
    "team_size": 13,
    "industry": "B2B",
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    "launched_at": 1616455133,
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        "answer": "I started my entrepreneurial journey early, building my first company in Romania at 21. Over the next decade I launched multiple products and learned how hard it is for engineering teams to explain the value they create. The idea for Waydev came from firsthand frustration while trying to understand developer output beyond gut feelings and subjective dashboards. There was no clear way to measure engineering performance using system data, so I decided to build it myself. "
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      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "I applied to YC because I believed Waydev could become a category defining product and I wanted to sharpen our execution with the best early stage accelerator in the world. It wasn’t an easy path. I applied 13 times before being accepted, and each rejection forced me to refine the idea, tighten the pitch, and improve the product. When we finally joined YC, the experience was transformative. The batch pushed us to move faster, simplify our messaging, and talk to customers every day. Demo Day helped us raise capital and accelerate our trajectory. More importantly, YC gave us a mindset of relentless iteration that still defines how we operate."
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      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "YC has remained a core part of our company. I’m active in Bookface, talking to other founders about growth, engineering metrics, and the future of AI driven development. Many of our customers and partners come through YC referrals. We share learnings with other B2B and infra founders, and we rely on YC’s internal forums, templates, and tools for fundraising, hiring, and pricing decisions. YC helped us get started, but the community is what continues to compound our progress."
      },
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        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "Waydev started as a simple tool to analyze Git activity. The product evolved quickly as customers pushed us toward deeper insights and enterprise scale. Key moments included securing our first Fortune 500 customers, launching integrations with GitHub, GitLab, Bitbucket, and Azure DevOps, and building out enterprise features like SSO, RBAC, and advanced reporting.\r\n\r\nA major inflection point came when we recognized that engineering intelligence needed an AI native interface. This led to the launch of Waydev AI, our conversational layer that lets leaders ask questions and get insights instantly without dashboards. Today, we support both large enterprises and fast growing teams, and we continue to integrate AI deeply into how engineering work is analyzed and measured."
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Engineering is the most expensive function in modern companies, but historically it has been the hardest to measure. Leaders rely on anecdotal feedback, siloed dashboards, or lagging indicators that fail to capture the full picture of productivity, quality, and delivery. This lack of visibility leads to poor decisions, misalignment, reactive planning, and inefficient budgets.\r\n\r\nWe solve this by giving teams a unified intelligence layer that turns system data into clear, actionable insights. The problem is huge because every company depends on software, and engineering performance directly affects speed, cost, and competitiveness. I decided to work on this because I experienced the pain myself as a founder and saw thousands of teams navigating the same challenge."
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Our long term vision is to build the intelligence engine behind every engineering organization. If we succeed, companies will understand their engineering health as clearly as they understand revenue or churn. Leaders will make better decisions, teams will work in a more predictable and balanced way, and engineering will become a transparent, measurable, and optimized function. In the future we imagine, every company will be able to ask one question, “What is happening in engineering and what should we do next?” and Waydev will deliver the answer instantly."
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        "full_name": "Alex Circei",
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        "founder_bio": "I'm Alex Circei, co-founder and CEO of Waydev (YC W21). I started my first company in Romania at 21 and have spent 18+ years building startups. In 2017 I launched Waydev, defining the Software Engineering Intelligence category — bootstrapped to profitability, recognized by Gartner and G2, and trusted by Fortune 500 teams at American Express, Caterpillar, Dropbox, and PwC.",
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        "equity_range": "0.10% - 0.20%",
        "experience": "3+ years",
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        "title": "Head of Growth",
        "url": "https://www.ycombinator.com/companies/waydev/jobs/ecnmEt7-head-of-growth",
        "location": "Menlo Park, CA, US / Remote (US)",
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        "title": "The question AI providers hope VPs of Engineering never ask",
        "url": "https://thenextweb.com/news/the-question-ai-providers-hope-vps-of-engineering-never-ask",
        "date": "Apr 20, 2026"
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      {
        "title": "'Tokenmaxxing' is making developers less productive than they think | TechCrunch",
        "url": "https://techcrunch.com/2026/04/17/tokenmaxxing-is-making-developers-less-productive-than-they-think/",
        "date": "Apr 17, 2026"
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      {
        "title": "Waydev Adds Ability to Track How Much AI Code Winds Up in Production - DevOps.com",
        "url": "https://devops.com/waydev-adds-ability-to-track-how-much-ai-code-winds-up-in-production/",
        "date": "Apr 16, 2026"
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        "title": "How to Measure AI ROI on Your Engineering Team",
        "url": "https://waydev.co/how-to-measure-ai-roi-on-your-engineering-team/",
        "date": "Mar 17, 2026"
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        "title": "How to Measure Engineering Productivity When AI Writes Code",
        "url": "https://waydev.co/when-ai-writes-the-code-what-do-we-measure/",
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        "title": "Waydev AI: The ChatGPT for Engineering Intelligence",
        "tagline": "The first AI-native conversational platform that helps engineering leaders measure performance, track AI adoption, and understand how AI impacts delivery.",
        "body": "Hey, we’re Waydev, and we’re launching Waydev AI on YC and [ProductHunt.](https://www.producthunt.com/products/waydev?launch=waydev-ai)\n\n![uploaded image](/media/?type=post&id=94663&key=user_uploads/22643/9cf132dd-67ec-4ece-bed1-d5c53f6c5981)\n\n### https://youtu.be/0Pz5mRiLpzE?si=rIQV4WzzaGLLB31M\n\n### Problem\n\nEngineering leaders struggle to understand performance, delivery, and the real impact of AI across their teams. Traditional engineering intelligence tools require endless dashboard setup, data interpretation, and manual correlation between GitHub, Jira, and other sources.\n\nThese legacy platforms were never built for the AI era - making it hard to measure AI adoption, productivity, and team impact in a way that feels natural or conversational. Even newer tools are bolting on “AI features” rather than rethinking the experience from the ground up.\n\n### Solution\n\nWe built **Waydev AI**, the first **AI-native conversational platform for Engineering Intelligence**, designed so leaders can stop analyzing dashboards and start asking questions.\n\nWaydev AI transforms how engineering teams understand performance and delivery. Just connect your tools - GitHub, Jira, Cursor, and more—and start asking in plain English:\n\n* “What’s our AI adoption rate this quarter?”\n* “Which teams improved their cycle time the most?”\n* “How has AI impacted our delivery and bug rates?”\n\n#### Key Features\n\n💬 **Conversational Interface:** Chat directly with your data instead of digging through dashboards.\\\n🤖 **AI-Native Insights:** Instantly generate reports, visual charts, and performance breakdowns from natural-language questions.\\\n🔌 **Connect Your Stack:** Integrate GitHub, Jira, Cursor, and more in seconds.\\\n📈 **Dynamic Reports:** Save and share real-time insights that update automatically as your teams ship.\\\n🔍 **AI Adoption Metrics:** Track how generative AI tools like Copilot or Cursor are influencing developer productivity.\n\n### Our Asks\n\n🎯 Try **Waydev AI** today! Sign up at [waydev.co/ai](https://waydev.co/ai) and start asking your data.\\\n🚀 Support our [Product Hunt launch on October 15, 2025](https://www.producthunt.com/products/waydev?launch=waydev-ai)\\\n💼 We’re hiring engineers and AI researchers passionate about transforming the future of Software Engineering Intelligence.",
        "url": "https://www.ycombinator.com/launches/Ocp-waydev-ai-the-chatgpt-for-engineering-intelligence",
        "votes": 28,
        "created_at": "2025-10-15T07:14:08.221Z"
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    "id": 24080,
    "name": "zaz⚡️os",
    "slug": "zazos",
    "former_names": [
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      "Zazos",
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    "website": "https://www.zazos.com/",
    "all_locations": "São Paulo, SP, Brazil",
    "long_description": "Software is now cheap to build. Every company will have its own custom all-in-one OS. zaz⚡️os is how they build it, without rebuilding everything from scratch.\r\n\r\nzaz⚡️os is a customizable all-in-one OS for running a company. Instead of stitching together point solutions, each company gets its own single-tenant workspace with 26+ ready apps (performance, feedback, hiring, time off, payments) and an AI Studio to adapt any of them, or build new ones, to how the company actually works. ",
    "one_liner": "The custom all-in-one OS for each company.",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1627047912,
    "tags": [
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    "nonprofit": false,
    "batch": "Summer 2021",
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    "regions": [
      "Brazil",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/zazos",
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    "city": "São Paulo",
    "country": "BR",
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        "user_id": 288103,
        "full_name": "Murilo Narciso",
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    "id": 24093,
    "name": "Swipe",
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    "website": "https://getswipe.in",
    "all_locations": "Hyderabad, Telangana, India",
    "long_description": "Swipe is a simple billing and payments app for small businesses in India. We make it easy for local businesses to invoice their customers over WhatsApp. With Swipe, businesses can send a WhatsApp message with a link that allows their customers to pay instantly with a variety of payment methods.",
    "one_liner": "Super AI Accountant for SMBs",
    "team_size": 60,
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    "launched_at": 1628792157,
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    "regions": [
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      "South Asia"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/swipe-2",
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    "year_founded": 2021,
    "city": "Hyderabad",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/swipebilling",
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        "user_id": 563392,
        "full_name": "Aditya Vemuganti",
        "title": "Founder",
        "founder_bio": "Cofounder, Swipe.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aditya-v-b0838622/",
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        "full_name": "Sri Teja Allaparthi",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sriteja95",
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    "news": [
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        "title": "Cred’s Kunal Shah, Y Combinator, others back SME-focused platform Swipe | VCCircle",
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        "date": "Feb 11, 2022"
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        "title": "These former Amazon and Great Learning execs are leveraging WhatsApp to make billing simpler for SMEs",
        "url": "https://yourstory.com/2021/12/these-former-amazon-and-great-learning-execs-are-leveraging-whatsapp-billing-simpler-smes/amp",
        "date": "Dec 05, 2021"
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    "id": 24137,
    "name": "Soco",
    "slug": "soco",
    "former_names": [
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      "ShopMyGPT.com",
      "Watu"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/48360413020d2b744e8c5f969d2f31d5390b1957.png",
    "website": "https://socosearch.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Soco: You talk to it, it brings you hundreds of products.",
    "one_liner": "Visual AI shopping",
    "team_size": null,
    "industry": "Consumer",
    "subindustry": "Consumer -> Apparel and Cosmetics",
    "launched_at": 1630032705,
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    "regions": [
      "United States of America",
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      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/soco",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/soco.json",
    "year_founded": 2021,
    "city": "New York City",
    "country": "US",
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      {
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        "full_name": "Omar Thanawalla",
        "title": "Founder",
        "founder_bio": "Omar is a former Meta, Google Software Engineer with 12 years of professional software engineering experience.\n\nHe helped build Facebook Stories which is used by 500 million people everyday and has shipped 10 iOS Apps to the App Store. He gets stuff done.",
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    "id": 24153,
    "name": "Dailybot",
    "slug": "dailybot",
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    "website": "https://www.dailybot.com/",
    "all_locations": "Remote, OR, USA; Remote",
    "long_description": "Dailybot is the coordination platform for software teams where people and AI agents work side by side.\r\n\r\nAs engineering teams increasingly operate alongside multiple AI agents — coding agents, incident responders, research assistants — the gap between what's being worked on and what the team can actually see has become a critical problem. Dailybot closes that gap.\r\n\r\nTeams use Dailybot to run async standups, check-ins, retros, and custom workflows directly inside Slack, Microsoft Teams, Google Chat, and Discord. In Dailybot 3, those capabilities now extend to AI agents: every agent can report progress, surface blockers, and be monitored in a dedicated observability layer — all attributed to the humans who delegated the work.\r\n\r\nThe platform combines four capabilities: structured check-ins and forms in chat, AI-powered summaries and blocker detection, no-code workflow automation, and agent infrastructure (API, CLI, open-source skill pack, fleet monitoring). Leaders get a proactive view of what people and agents accomplished together — without adding meetings or dashboards to check.\r\n\r\nDailybot is SOC 2 and GDPR compliant, backed by Y Combinator (S21), and trusted by teams at IBM, Samsung, Pixar, and 8,000+ teams worldwide.",
    "one_liner": "Make all team work visible — people and AI agents",
    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1625092395,
    "tags": [
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/dailybot",
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    "city": "Remote",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/dailybot/",
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        "full_name": "Mauricio Morales",
        "title": "Founder",
        "founder_bio": "CEO at DailyBot\n\nMauricio has been building internet products for over 15y. MsC and MBA. He has been involved in product management at different startups and helped build tech companies that have scaled rapidly and were acquired. He's lived in 3 countries.",
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        "linkedin_url": "https://www.linkedin.com/in/maomorales/",
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      {
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        "full_name": "Sergio Florez",
        "title": "Founder",
        "founder_bio": "CTO at DailyBot — leading and building unique conversational experiences for asynchronous work. \n\nSergio is a computer science engineer, MSc in data science and passionate entrepreneur, with talent and more than 10y of experience building digital businesses. He's in the search of the ideation of disruptive business models as agents of change and success.",
        "is_active": true,
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        "title": " DailyBot 2.0 - Make your chat 10x better | Product Hunt",
        "url": "https://www.producthunt.com/posts/dailybot-2-0",
        "date": "Jul 07, 2021"
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      {
        "id": 109411,
        "title": "Dailybot CLI: Your AI agents now report to the team",
        "tagline": "An open-source CLI and skill that turns private agent work into team updates, approvals, and workflows in chat",
        "body": "Hey everyone! we’re Mauricio and Sergio, co-founders of Dailybot (YC S21).\n\n**What Dailybot is**: a place for team updates, check-ins, and coordination inside Slack, Microsoft Teams, Discord, and Google Chat. For people and AI agents.\n\n**TL;DR**: we built an open-source CLI so people, scripts, and AI agents can drive Dailybot from the terminal. Updates, check-ins, chat messages, forms, and more land where the team already works: Slack, Microsoft Teams, Discord, or Google Chat. **Ask:** ask your agent to try our skill ([**www.dailybot.com/skill.md**](http://www.dailybot.com/skill.md)), run one workflow that matches how your team actually works, and tell us which one helped you move forward today.\n\nDailybot skill: [**https://www.dailybot.com/skills/agent-skill/#install**](https://www.dailybot.com/skills/agent-skill/#install)\n\n**Demo**\n\n[**Dailybot CLI + Agent Skill: Connect your AI coding agent to your team**](https://www.youtube.com/watch?v=rwopfsPzgSQ)\n\n\\\n**The problem**\n\nTeams are getting real work done with coding agents and scripts. A lot of that work still finishes in a private session. The rest of the team only hears about it if someone rewrites it into Slack or a standup.\n\nSo you get the usual mess: invisible agent work, stale status during a release, approvals bouncing between tools, and check-ins that someone rebuilds by hand for every new project.\n\n**What we shipped**\n\nDailybot CLI. Same Dailybot account and team feed you already use, now from the command line. A few workflows we’re highlighting:\n\n1. Agent update to team chat — done / next / blockers show up in the feed, without a human rewrite\n2. One status message that stays current — one release/status message you keep updating, instead of a pile of outdated posts\n3. Simple approvals in chat — approve/reject in Slack or Teams; your system gets the result and work continues\n\nThere’s more under the hood (forms, check-in creation, agent inbox, activity into reports, kudos, teams, workflows). We’re leading with the ones that produce a visible team result fast.\n\n**Installing the CLI**\n\nEasiest path: pass the skill to your agent and ask it in plain language, e.g. “post a team update that we finished the CLI install path” – [**https://www.dailybot.com/skill.md**](https://www.dailybot.com/skill.md)\n\n**How we got here**\n\nWe’ve been building Dailybot for hybrid teams for a while: async check-ins, reports, and coordination inside chat. As our own team (and customers) started running agents all day, the gap got obvious: agents ship work, humans still retype the update.\n\nThe CLI is our answer to that gap. A bridge into the place the team already coordinates.\n\n**Our ask**\n\n1. Install and try one workflow: [**https://www.dailybot.com/skills/agent-skill/#install**](https://www.dailybot.com/skills/agent-skill/#install)\n2. Reply with the workflow you’d want documented/explored next\n3. If useful, intros to eng teams already running agents in production (contact our founders)\n\nThanks,\\\nMauricio &amp; Sergio",
        "url": "https://www.ycombinator.com/launches/SSh-dailybot-cli-your-ai-agents-now-report-to-the-team",
        "votes": 22,
        "created_at": "2026-08-05T16:22:36.120Z"
      },
      {
        "id": 70494,
        "title": "Dailybot+ AI 🧠 The assistant and toolkit for modern teams",
        "tagline": "Meet Dailybot, a ChatGPT assistant and AI workflow builder for your work chat",
        "body": "Hi! We are Mauricio Morales and Sergio Florez, the founders of [Dailybot](https://www.dailybot.com/product/ai?utm_source=YCLaunch).\n\nDailybot+ AI is a toolkit for modern work: a ChatGPT Assistant and an AI Workflow automation tool that takes asynchronous work and in-chat collaboration to another level. Compatible with Slack, Microsoft Teams, Google Chat, or Discord.\n\n### **The Problem**\n\nAI is the future, yes. But many people lack the knowledge and resources to effectively incorporate AI into their daily workflow, resulting in missed opportunities for creating impactful use cases.\n\n### **Our Solution**\n\nDailybot provides a chat assistant and platform that simplifies the integration of AI into daily workflows. With our technology, anyone can access an AI assistant (ChatGPT) in the work chat, and can also implement use cases that leverage the power of AI.\n\n![uploaded image](/media/?type=post&id=70494&key=user_uploads/207324/1d5a25dc-bc23-4f36-8315-61af16175cf6)\n\nWe provide key building blocks for you to combine and build multiple use cases on top of your chat workspace.\n\nThe building blocks of Dailybot are: **Check-ins** for stand-ups or recurring surveys; **Forms** for any data collection; **Chat Commands** for in-chat customization; **Workflows** for setting up triggers/actions; and the **AI engine**.\n\nThe Dailybot Workflows provide a Zapier-like interface where users can define triggers and actions (one or multiple) that should run.\n\n![uploaded image](/media/?type=post&id=70494&key=user_uploads/207324/7c533a87-fd19-4145-a9c9-4450a49a0e53)\n\nThe Actions can be AI content generation, sending messages (DMs or channels), sending emails, or triggering other building blocks of Dailybot.\n\n![uploaded image](/media/?type=post&id=70494&key=user_uploads/207324/dc811400-636e-4ffb-8773-aaefa373ddc2)\n\n### **A Few Examples**\n\n* You run a **Daily Stand-up** (built with Check-ins), then, **when a blocker is reported**, an **AI Workflow is run**. It analyzes the blocker and then suggests the employee ideas for solving the issue/bocker.\n* You create a **Form** that will be triggered with the in-chat command named “**product release**”, when the Form is completed an **AI Workflow is run**. It analyzes all the content of the release form **and generates a press release** that is posted into the #releases channel.\n* You create an **anonymous survey to monitor team morale**. The **AI analyzes all the responses** and sends a summary to the head of HR (via email or DM).\n\nWe're passionate about making remote work easier and more efficient and our goal is to make DailyBot the best companion for your team’s work.\n\n**Our Ask:**\n\nWe’d love to hear your ideas on what type of AI-powered daily workflows (in chat) will add value to your team, feel free to share the feedback at [support@dailybot.com](mailto:support@dailybot.com)\n\nWe offer a Free Trial, [**Try Dailybot here**](https://www.dailybot.com/product/ai?utm_source=YCLaunch).",
        "url": "https://www.ycombinator.com/launches/IL0-dailybot-ai-the-assistant-and-toolkit-for-modern-teams",
        "votes": 40,
        "created_at": "2023-03-23T15:06:42.817Z"
      },
      {
        "id": 64310,
        "title": "DailyBot 🤖 daily stand-ups, automation and chat assistant for work",
        "tagline": "⚡️ On a mission to provide one-click workflows for team collaboration and productivity via chat",
        "body": "👋 Mauricio and Sergio from [@DailyBot](https://www.dailybot.com/) here.\n\n### **TL;DR**\n\nDailyBot is a bunch of useful add-ons for your chat platform. Plug it into your chat and make Async Work a breeze for your team:\n\n* 1- Running async Daily Stand-ups, natively integrated in the chat\n* 2- Cutting unnecessary meetings with more types of recurring check-ins\n* 3- Spreading love and team recognition with DailyBot Kudos\n* 4- Socializing better with watercooler prompts and random 1:1 coffees\n\nAnd developers can build simple in-chat functions for their day-to-day operations, without the need to learn chat-platform-specific APIs.\n\nAvailable on Slack, Discord, MS Teams, G Chat.\n\n### **The problem**\n\nAsync work is the new way of working for many teams. Most teams use chat in any form with tools like Discord, Slack and others. As chat becomes the main app that workers interact with everyday, it becomes necessary to give it more purposes.\n\nNew purposes include workflows like team check-ins, surveys, platform notifications, tools for social engagement, or custom commands to trigger actions.\n\nCreating all this setup is a hustle:\n\n* 1- You have to use many apps, bots, plugins\n* 2- There is a lot of context switching, management overhead, more subscription fees, and more app fatigue for workers\n* 3- Most bots are not designed for protecting security and privacy\n\n# **DailyBot is the solution**\n\nWe are building the first super-bot for your chat. DailyBot comes with a bunch of use cases and features, all-in-one. Some workflows include:\n\n**Check-ins:** track automatically what your team is up to. You can run async and written updates, agile daily stand-ups, retrospectives, or periodic check-ins like 1:1s.\n\n![uploaded image](/media/?type=post&id=64310&key=user_uploads/207324/06136816-f0a8-4324-8e8b-db4bb9a0aa81)\n\n**Kudos**: give kudos and celebrate actions that contribute to better team culture. Create rewards and have fun activities with your team based on our leaderboard.\n\n![uploaded image](/media/?type=post&id=64310&key=user_uploads/207324/b523b354-332f-4d1e-9617-996320210eb7)\n\n**Forms**: create all-purpose forms that people can respond to in chat or on the web. Automate vacation requests, recurring feedback forms, and more.\n\n![uploaded image](/media/?type=post&id=64310&key=user_uploads/207324/91614956-ebf2-45e0-b746-678fac7349ec)\n\n**Custom commands**: create commands to increase your team’s productivity in less than a minute. Virtual coffees, birthday reminders, watercoolers, pomodoro timers, your own chat-ops and more.\n\n![uploaded image](/media/?type=post&id=64310&key=user_uploads/207324/974d041a-a4b9-4c5a-a1c0-2b810e40ec29)\n\n### **Security by design and SOC2 compliance**\n\nMost apps take a lot of permissions to access data from your chat. This becomes concerning when you are using dozens of apps to build your team workflows. We are designing DailyBot as a privacy & security first company.\n\nDailyBot only requests the minimal API permissions from your chat. It can only process messages that are directed to the bot.\n\nWe are SOC2 Type II compliant, giving confidence to small and big companies about our work and data management practices.\n\n**Join Us!**\n\nGet started for free. Go to [www.dailybot.com](http://www.dailybot.com) and install DailyBot on your chat (2-min setup). We have a bookface deal for our fellow YC members.\n\nSee you on the other side!\n\nPs: Join our [Discord community](https://discord.gg/StjtJ5u7QF) and follow us on [Twitter](https://twitter.com/dailybot) and [LinkedIn.](https://www.linkedin.com/company/dailybot) ;)",
        "url": "https://www.ycombinator.com/launches/GjG-dailybot-daily-stand-ups-automation-and-chat-assistant-for-work",
        "votes": 50,
        "created_at": "2022-07-04T18:21:28.389Z"
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    "id": 24204,
    "name": "Sentiyen",
    "slug": "sentiyen",
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    "website": "https://www.sentiyen.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "At Sentiyen, we build GPT-based AI assistants that are trained on your content and enable your audience to get the answers they need 24 hours a day. We allow creators and businesses scale themselves to unlimited 1:1 conversations with potential customers, which helps increase revenue, reduce spend, and improve customer satisfaction.",
    "one_liner": "Conversational AI assistants using your knowledge",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1628001979,
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    "year_founded": 2020,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/onplayhouse",
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        "full_name": "Alex Perelman",
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        "is_active": true,
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        "full_name": "Nathan Shinder",
        "title": "Founder",
        "founder_bio": "Most recently as a Strategic Operations Manager at PeerStreet I launched a new loan product (long-term rental loans) and scaled the business line to north of $40MM/month. ",
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        "title": "Here's How the 'TikTok for Real Estate' Raised Millions From Investors",
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        "date": "Apr 13, 2022"
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      {
        "title": "Playhouse is TikTok meets Zillow for the next generation of homeowners – TechCrunch",
        "url": "https://techcrunch.com/2022/04/05/playhouse-tiktok-zillow-homeowners-millennial-gen-z/",
        "date": "Apr 05, 2022"
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    "id": 24395,
    "name": "Miniloop",
    "slug": "miniloop",
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    "website": "https://miniloop.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Miniloop is a workflow engine for building reliable AI systems. It turns one-off prompts into structured, reusable workflows with enforced context, typed outputs, and safe re-runs, making AI dependable in production environments.",
    "one_liner": "AI workflow engine for reliable systems",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1625260950,
    "tags": [
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        "full_name": "Emmett Miller",
        "title": "Founder",
        "founder_bio": "I want to make the world a better place with innovative tools :)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/emmettmiller/",
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        "user_id": 734259,
        "full_name": "Wyatt Miller",
        "title": "Founder",
        "founder_bio": "co-founder",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/wyattmiller14/",
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      {
        "user_id": 715627,
        "full_name": "Leo Schottenstein",
        "title": "Founder",
        "founder_bio": "University of Southern California & Growth @ Skio",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/leo-schottenstein-0513/",
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      {
        "id": 100439,
        "title": "Miniloop — AI GTM teammates for startups",
        "tagline": "Run outbound, follow-up, content, and ops without hiring.",
        "body": "Hey everyone 👋\n\nWe’re building Miniloop: an AI workforce platform that helps startups run GTM without hiring a full GTM team.\n\n### TL;DR\n\n**Miniloop lets startups hire AI GTM teammates that run outbound, follow up with leads, create content, qualify signups, update CRM/spreadsheets, and execute repetitive workflows across tools like Gmail, Apollo, HubSpot, Google Sheets, Slack, and LinkedIn.**\n\nMost early-stage founders know they should be doing outbound, following up with leads, writing content, qualifying signups, updating spreadsheets, and keeping prospects warm.\n\nThe problem is that all of this work is repetitive, tool-heavy, and easy to drop when you’re also building product and talking to customers.\n\nMiniloop lets you hire AI agents that learn your business, connect to your tools, and run those workflows continuously.\n\nThe goal: help founders and small teams run GTM consistently without hiring more people.\n\n### Launch video\n\n<https://youtu.be/NruQjXiSUZ8>\n\n### What Miniloop does\n\nMiniloop agents can run GTM workflows like:\n\n* finding and enriching leads\n* writing and sending personalized outbound\n* following up with signups\n* qualifying prospects\n* creating blog and SEO content\n* updating spreadsheets and CRMs\n* sending internal reports and alerts\n\nThey work across tools like Apollo, Gmail, HubSpot, Google Sheets, LinkedIn, Slack, and more.\n\nThe goal is simple: give founders and small GTM teams the output of extra teammates without adding headcount.\n\nWe’ve been using Miniloop internally for our own GTM, including blog generation, lead collection, and signup follow-up — workflows that map directly to your current dogfooding setup.\n\n### Why now\n\nEarly-stage startups used to scale GTM by hiring more people.\n\nNow the best teams can stay smaller longer.\n\nInstead of duct-taping together brittle automations, Miniloop gives you agents that understand context, run multi-step workflows, and ask for help only when needed.\n\n### Who it’s for\n\nMiniloop is especially useful if you’re:\n\n* a founder doing marketing / gtm work yourself\n* a small team without dedicated GTM headcount\n* running outbound, content, lead routing, or follow-up manually\n* spending too much time moving data between tools\n\n### Ask\n\nWe’re working closely with YC companies and doing hands-on workflow setup for early users.\n\nIf you’re running GTM or ops and want help automating the repetitive parts, happy to set it up with you.\n\nAlso grateful for intros to teams that are doing lots of manual GTM work across too many tools.",
        "url": "https://www.ycombinator.com/launches/Q7z-miniloop-ai-gtm-teammates-for-startups",
        "votes": 9,
        "created_at": "2026-04-28T16:43:23.174Z"
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    "id": 24408,
    "name": "Forage Mail",
    "slug": "forage-mail",
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    "website": "https://foragemail.com",
    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "Forage filters low-priority emails from your Gmail. It sends you a clean, daily summary of the emails it filtered out, including a TLDR for every newsletter. It learns your preferences and gives you full control with custom rules. Works with any email app.",
    "one_liner": "AI that solves email overwhelm. Not another mail app.",
    "team_size": 4,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1630040488,
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      "Consumer",
      "Productivity",
      "Email",
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    "batch": "Summer 2021",
    "status": "Inactive",
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      "America / Canada",
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    "stage": "Early",
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    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/forage-mail",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/forage-mail.json",
    "year_founded": 2020,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/foragemail",
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      {
        "user_id": 733907,
        "full_name": "Eni Jaupi",
        "title": "Founder",
        "founder_bio": "Co-founder & CTO @ Forage.xyz (YC S21)",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/enijaupi/",
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      {
        "id": 88022,
        "title": "Forage Mail - Simplify your inbox",
        "tagline": "AI that solves email overwhelm. Not another mail app.",
        "body": "Hey Launch YC, I’m Richie, cofounder of Forage Mail! 👋\n\nForage has seriously changed my relationship to my inbox, and I'm excited for more of you to experience it.\n\n[Watch demo video](https://www.youtube.com/watch?v=fM9X4DhtlJk)\n\n# **The Problem**\n\n Email is the glue that holds our lives together. Calendar invites, receipts, notifications, newsletters, (and more) all end up in our inbox. But, it's like a digital junk drawer that other people put things in and then we have to sift through them every day.\\\n\\\nAnd it never ends! Even if we get to the bottom today, it just fills back up again tomorrow.\n\n# **What is Forage Mail?**\n\nForage is not a new email app you need to learn. It’s an AI that plugs right into your Gmail account and filters out your low-priority mail. Then, it sends you a clean daily summary with everything it filtered out—including a TLDR of every newsletter you received.\\\n\\\nForage AI auto-labels emails, learns from your preferences, and gives you full control with custom rules. You can continue using any email app you prefer while Forage works in the background to streamline your inbox.\n\n\\\n**Works with every mail app**\\\nForage doesn’t replace your mail app. It connects to your Gmail account and runs in the background. So you can continue checking email as usual.\n\n![uploaded image](/media/?type=post&id=88022&key=user_uploads/77398/aa81e95d-0fc4-4db3-b556-d688020466f6)\n\n\\\n**A beautiful daily summary**\\\nForage sends you a daily summary email with everything it filtered out of your inbox. It groups emails by type and summarizes your newsletters—this makes it easy to skim, scan, and move on.\n\n![uploaded image](/media/?type=post&id=88022&key=user_uploads/77398/96d9596d-b4d9-4f30-b5a8-01e8db5aeed0)\n\n\\\n**A TLDR for every newsletter**\n\nEver find it hard to keep up with your favorite newsletters. Now, you can get the key points in your daily summary email and decide which articles you want to read in-full. Forage even gives you an estimated read time for each article.\n\n![uploaded image](/media/?type=post&id=88022&key=user_uploads/77398/2321939a-c461-4a89-8993-b51a305de075)\n\n\\\n**Protects your inbox from unwanted senders**\n\nForage makes it easy to unsubscribe from any sender with one click. You can also mute entire categories of email so they never show up in your inbox. Sometimes, senders don’t respect your unsubscribe request, but Forage is able to hide them anyway.\n\n![uploaded image](/media/?type=post&id=88022&key=user_uploads/77398/aa638edf-f448-422e-a003-f49726b5ea1e)\n\n\\\n**You’re always in control**\n\nForage AI makes intelligent decisions so it works well out-of-the-box. It learns from your preferences so it gets smarter the longer you use it. You can also create custom rules so you can decide exactly how your email is handled.\n\n![uploaded image](/media/?type=post&id=88022&key=user_uploads/77398/418dd868-14e5-4f10-ae8d-b1f39fc27ef1)\n\n# **How to get started**\n\nForage takes 30-seconds to set up. All you need to do is connect your Gmail account and Forage will create your first summary with the last 24 hours of email in your inbox. Then it will continue monitoring for new emails going forward.\\\n\\\n_We have a 14-day free trial, and you can get 10% off for life using the discount code LAUNCHYC10._\\\n\\\nWe’d love to hear your ideas, feedback, and questions!\\\n\\\nSpecial thanks to all the early testers who have helped guide the product over the last few months. You all are real ones. Thank you!",
        "url": "https://www.ycombinator.com/launches/Mti-forage-mail-simplify-your-inbox",
        "votes": 10,
        "created_at": "2025-02-25T18:34:47.735Z"
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    "id": 24567,
    "name": "Tenyks",
    "slug": "tenyks",
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    "website": "http://tenyks.ai/",
    "all_locations": "Sofia City Province, Bulgaria; Remote",
    "long_description": "Tenyks (YC S21) is a Cambridge University spin-out building the World's Most Versatile Visual Intelligence Platform—think Snowflake for Vision or GPT for Video.\r\n\r\nProblem: Companies today collect oceans of visual data (from cameras, drones, and satellites), but struggle to extract actionable insights. Current solutions rely heavily on manual analysis by call centres in locations like the Philippines or AI platforms narrowly focused on security rather than deeper operational insights. This leaves critical improvements in efficiency, customer satisfaction, and revenue growth unrealised.\r\n\r\nSolution: Tenyks unlocks unprecedented insights by applying advanced multimodal Vision-Language Models (VLMs) capable of comprehensive video summarisation, retrieval, and visual question-answering. These VLMs are seamlessly combined with specialised analytics for emotion detection, activity recognition, object tracking, and even gait analysis. Our platform transforms ordinary visual footage into extraordinary operational intelligence.\r\n\r\nInitial Focus: Starting with Quick Service Restaurants (QSRs), we enable operations leaders to instantly understand customer flow, kitchen efficiency, staff productivity, and quality of service using their existing security camera footage—turning previously inaccessible data into direct operational improvements and clear financial ROI. For instance, insights from Tenyks can accelerate the speed of service significantly; even a 1-second improvement in service speed could generate $30,000 additional annual revenue per restaurant. For a multi-unit owner of 100 restaurants, that's an additional $3 million per year.\r\n\r\nTraction: We've recently secured our first Fortune 500 customer, joining other major enterprises, global system integrators, and high-growth startups trusting Tenyks for powerful, data-driven decision-making.\r\n\r\nWhy Tenyks: Our patented technology originates from the founders' PhD research at Cambridge University. Previously, we helped world-leading teams scale high-performing Vision AI in production. \r\n\r\nRecognition: Recognised as a Rising Star in Gen AI by Sifted, Best Product of the Year by Vision AI Alliance, and Company of the Year by Cambridge University (previously awarded to DeepMind).",
    "one_liner": "The World's Most Versatile Video Answering Engine ",
    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1630087785,
    "tags": [
      "Computer Vision",
      "Video",
      "AI",
      "AI Assistant"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
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    "regions": [
      "Bulgaria",
      "Europe",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/tenyks",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/tenyks.json",
    "year_founded": 2021,
    "city": null,
    "country": "BG",
    "linkedin_url": "https://www.linkedin.com/company/tenyks/",
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    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/tenyks",
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      {
        "user_id": 351439,
        "full_name": "Botty Dimanov",
        "title": "Founder/CEO",
        "founder_bio": "Dr. Botty Dimanov, CEO & Co-Founder of Tenyks, holds a PhD in Explainable AI for Vision from Cambridge University, invented US Patent for extracting concepts from visual information, and is a Forbes 30U30 honouree.\n\nTenyks is an award-winning Cambridge University spin-out backed by YCombinator.\nWe are building probably the world's most advanced Visual Intelligence Platform – think Snowflake for Visual data.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/botty-dimanov/",
        "x_url": "https://twitter.com/botty_dimanov",
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    "news": [
      {
        "title": "Doctor which cures Artificial Intelligence - bTV Media Group - bTV",
        "url": "https://www.btv.bg/shows/predi-obed/videos/doktorat-kojto-lekuva-izkustvenija-intelekt.html",
        "date": "Mar 15, 2023"
      },
      {
        "title": "To Save the World from the Terminator",
        "url": "https://forbesbulgaria.com/2023/01/12/to-save-the-world-from-the-terminator/",
        "date": "Jan 12, 2023"
      },
      {
        "title": "Tenyks lands $3.4m for human-AI interaction to fend off the ‘terminator’ | Business Weekly | Technology News | Business news | Cambridge and the East of England",
        "url": "https://www.businessweekly.co.uk/tech-trail/investment-tree/tenyks-lands-34m-human-ai-interaction-fend-%E2%80%98terminator%E2%80%99",
        "date": "Mar 07, 2022"
      },
      {
        "title": "Cambridge startup Tenyks combats AI tech ‘terminator’ | Business Weekly | Technology News | Business news | Cambridge and the East of England",
        "url": "https://www.businessweekly.co.uk/news/startups/cambridge-startup-tenyks-combats-ai-tech-%E2%80%98terminator%E2%80%99",
        "date": "Dec 22, 2021"
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    ],
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    "id": 24817,
    "name": "Bytebot",
    "slug": "bytebot",
    "former_names": [
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      "SaveCmd",
      "Tantl"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/98cd71fc795fe80387da92b38a105f7c275db52d.png",
    "website": "https://www.bytebot.ai/",
    "all_locations": "Boston, MA, USA; Remote",
    "long_description": "Bytebot simplifies and streamlines the development of computer use agents with a ready made container for desktop automation, including APIs for mouse movements, keyboard input, and screenshot capture. \r\n\r\nThe container enables developers to build robust, dynamic computer use agents that can be configured and run anywhere.",
    "one_liner": "Bytebot is the open source container for AI desktop agents.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1628647063,
    "tags": [
      "Generative AI",
      "Robotic Process Automation",
      "SaaS",
      "AI",
      "AI Assistant"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Acquired",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/bytebot",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/bytebot.json",
    "year_founded": 2021,
    "city": "Boston",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/bytebot-ai/",
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        "user_id": 3186,
        "full_name": "Carl Atupem",
        "title": "Founder",
        "founder_bio": "Founder, CEO at Bytebot\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/carl-atupem-94873245/",
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      {
        "id": 81738,
        "title": "Bytebot: The easiest way to get web data",
        "tagline": "AI-powered scraping automations that evolve with the sites you target. Get the data you need with just a URL and a prompt.",
        "body": "![uploaded image](/media/?type=post&id=81738&key=user_uploads/3186/9e3e30fb-3ddb-47e7-aabf-860697f5ffb5)\n\n**TL;DR**\n\nBytebot uses AI to handle web data extraction and form filling. Developers use us to save time and effort, writing robust web scraping and automation logic that is reusable across many websites. Get started [here](http://app.bytebot.ai/auth/sign-up), and book some time with us [here](https://calendly.com/bytebot/bytebot-overview?back=1&month=2024-03).\n\n**❌ The Problem**\n\nBrowser scraping and web automation can be incredibly time-consuming and complex, often requiring a detailed and deep understanding of the web elements involved. Traditional methods are slow to iterate and can be difficult to scale, especially for startups and large companies.\n\nToday, you might:\n\n* Spend hours building scripts, hunting through HTML for the right selectors/xpaths\n* Waste effort debugging and maintaining scripts that break after page layout changes\n* Struggle with captchas, IP address rotation\n\n**💫 The Solution**\n\nBytebot simplifies and streamlines browser automation by translating your natural language prompts into intricate web tasks, from data extracting to website monitoring to form filling.\n\nBenefits include: \n\n* Eliminating time spent hunting for selectors or xpaths, as you can just prompt what you would like to happen instead\n* Allowing you to design scripts with  prompts that are reusable across multiple websites or domains\n* Providing robust and self-healing scripts that can adapt to website layout changes or updates\n\n![uploaded image](/media/?type=post&id=81738&key=user_uploads/3186/cb84607a-1f46-48f4-ad7b-c1c5f61dda6d)\n\n**⚒️How It Works**\n\nBytebot lets developers focus more on the prompting and less on the maintenance. Instead of writing complex scripts, you simply describe what you want to do, like _\"Add the item to the shopping cart\"_ or “_Login in with these credentials_“ and Bytebot handles the rest.\n\n![uploaded image](/media/?type=post&id=81738&key=user_uploads/3186/5317da8e-9760-4477-9a23-45ea0db84bc8)\n\nBehind the scenes, Bytebot takes a snapshot of a given webpage and leverages LLMs to translate prompts into the appropriate browser actions.\n\n![uploaded image](/media/?type=post&id=81738&key=user_uploads/3186/27874219-8f4a-4fcd-8480-21d039d83be6)\n\n**Speeding Up Automations**\n\nBytebot significantly speeds up the development cycle. Faster iterations enable companies to test and experiment with workflows without lengthy setup times. This increase in efficiency leads to higher ROI, as teams can focus on high-impact projects instead of getting bogged down by repetitive tasks.\n\n<https://youtu.be/v2e3Z3suQTs>\n\n**Versatile for All Users**\n\n Bytebot is designed for users of all technical levels:\n\n* **For Companies with Existing Infrastructure:** If your company already has a mature Puppeteer or Playwright setup, Bytebot integrates seamlessly. You can quickly hook Bytebot into your existing scripts without overhauling your current system.\n* **For Companies Needing Browser Support:** If you don't want to manage browser infrastructure, our Hosted Browser API has you covered. We'll handle running the browser, and you can interact with Bytebot without worrying about captchas and IP address rotation.\n*  **For Non-Technical Users:** For the quickest setup and experimentation, our Playground (coming soon!) offers a no-code UI, with a live browser view.\n\n**🙏Our Asks**\n\n* [Sign up](http://app.bytebot.ai/auth/sign-up) to try Bytebot! Our tiered [pricing](https://www.bytebot.ai/#pricing) has options for individual engineers and companies of all sizes.\n* Follow Us on [LinkedIn](https://www.linkedin.com/company/bytebot-ai) and [Twitter](https://twitter.com/bytebot_ai) for new features, updates, and industry insights.\n* Share Bytebot with anyone who is looking to streamline their web automation.\n* If you have a few minutes to chat about Bytebot, book a time [here](https://calendly.com/bytebot/bytebot-overview?back=1&month=2024-03).",
        "url": "https://www.ycombinator.com/launches/LGM-bytebot-the-easiest-way-to-get-web-data",
        "votes": 61,
        "created_at": "2024-06-25T18:02:20.114Z"
      }
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    "id": 25348,
    "name": "Sei AI",
    "slug": "sei-ai",
    "former_names": [
      "Arda",
      "Sei"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/866cec0759154ee708c6b843e16d3f00f9d773be.png",
    "website": "https://seiright.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Sei is an AI platform for mortgage lenders, servicers & banks. We're already live with banks and top IMBs.",
    "one_liner": "AI Operations Partner for Mortgage & Banking",
    "team_size": null,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1646055749,
    "tags": [
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
      "Fintech"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/sei-ai.json",
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    "country": "US",
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      "url": "https://www.ycombinator.com/people/tom-blomfield"
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        "full_name": "Pranay Shetty",
        "title": "Founder",
        "founder_bio": "Pranay is the CEO of Sei. He has worked across investment banking, private equity, and fintech. Most recently he was an early employee at CloudKitchens, helping launch the business across the US & Asia.\n",
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        "full_name": "Ramkumar Venkataraman",
        "title": "Founder",
        "founder_bio": "Engineer with over a decade building payments and high-scale systems in PayPal, Wise, and Amazon. Believes in the power of AI to help create responsible brands ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ramkumar-venkataraman-19202014",
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      {
        "id": 102608,
        "title": "Sei AI - Operations Partner for Mortgage Lenders & Servicers",
        "tagline": "We automate pre-underwriting & customer service. Mortgage lenders onboard more consumers & lower their cost to originate",
        "body": "Hey! We’re Ram &amp; Pranay, the cofounders of Sei AI.\n\n**✨TLDR**\n\nSei AI helps banks, mortgage lenders &amp; servicers reduce the cost of loan origination &amp; servicing. Our AI agents speak to borrowers and assist loan officers &amp; underwriters. We’re already working with banks &amp; top 25 IMBs.\n\nIn 5 months, we've grown our contracted ARR 10x.\n\nOur platform is\n\n👉 3x more effective at scheduling online leads and converting to meetings\n\n👉 75% reduction in time spent by underwriting manually reviewing documents\n\n👉 Already deployed with large lenders and banks nationally\n\n**❌ The Problem**\n\nIt costs lenders $12,000 to originate a single mortgage. If you've spent any time inside a mortgage shop, the shape of the day is familiar. Loan officers chasing the same three documents from the same borrowers for the third week in a row. Underwriters re-keying data from Encompass into a checklist and clearing the same conditions a thousand times a year. Servicing reps listening to voicemails about the same hardship requests. Borrowers waiting in long queues just to make their payment or get a question answered.\n\n**Enter Sei AI**\n\nWe ship three AI agents, each purpose-built for a mortgage workflow.\n\n**1. The Pre-Underwriting Assistant** that validates income, assets, credit &amp; collateral documents against 500+ agency guidelines, drafts conditions, &amp; surfaces exceptions. All at the start of the process. The AI communicates with the borrower for any missing or incorrect information and runs checks again to close the loop. This reduces back-and-forth with borrowers, clear-to-close, and touchpoints by teams.\n\nImpact: One NASDAQ-listed lender reduced review time per loan from 4 hours to 45 minutes.\n\n![uploaded image](/media/?type=post&id=102608&key=user_uploads/739737/ff15143c-a467-4f38-b16b-7d77a904b864)\n\n**2. Voice AI** handles inbound and outbound calls across origination and servicing — borrower follow-ups, payment reminders, payoff and escrow questions, etc.\n\nImpact: It’s already 3x more effective at scheduling online leads and converting to meetings, with one customer complaining that “A few of our loan officers joked that their calendars are now too full and they need to block hours off. That is the kind of problem we want to have.”\n\n![uploaded image](/media/?type=post&id=102608&key=user_uploads/739737/170f9885-2602-4723-b1c5-348056679b45)\n\n**3. Call Monitoring Agent** reviews 100% of borrower calls to flag potential regulatory violations (TCPA, FDCPA, UDAAP). Uniquely, it also surfaces the pipeline that quietly walks out the door on the same calls — payoff requests where no one pitches a recapture refi, life-event signals that should trigger retention plays, cross-sell openings missed on every HELOC-curious caller, and the behavioral patterns that separate top-performing LOs from the rest of the floor.\n\nImpact: One large IMB went from 3% to 100% call monitoring, while reducing costs by 75%\n\n**🤝 Team**\n\nWe’re Pranay &amp; Ram\n\n![uploaded image](/media/?type=post&id=102608&key=user_uploads/739737/619bde1a-b56f-46b3-957c-1e5d02d7d4d2)\n\nPranay (CEO) has deep experience in finance and real estate across companies Cloud Kitchens, PayPal, The World Bank &amp; Deutsche Bank.\n\nRam (CTO) has deep technical experience in financial services across PayPal, Amazon &amp; Wise. He has built high-scale and secure payment systems &amp; data pipelines that handled tens of billions in transactions per day.\n\nBook a demo at <https://www.seiright.com/#reachUs>",
        "url": "https://www.ycombinator.com/launches/Qgy-sei-ai-operations-partner-for-mortgage-lenders-servicers",
        "votes": 4,
        "created_at": "2026-06-05T14:41:19.411Z"
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    "name": "Spinach AI",
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    "former_names": [
      "StayIn Inc.",
      "spinach.io",
      "Spinach.io"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/32f61bbbf466e48b6d79b3f115c8246567eb41a8.png",
    "website": "https://spinach.ai",
    "all_locations": "Nashville, TN, USA; Remote",
    "long_description": "Backed by Y Combinator, Zoom and Atlassian, Spinach AI is the system of action for conversation data. Industry leaders like Abnormal AI and eToro use Spinach to capture and transform raw conversations into structured knowledge that powers people, agents, and LLMs across the enterprise, driving productivity for workers and strategic insight for leaders.",
    "one_liner": "The System of Action for Conversation Data",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1641876509,
    "tags": [
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      "Conversational AI",
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    "batch": "Winter 2022",
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      "America / Canada",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/spinach-ai",
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    "year_founded": 2021,
    "city": "Nashville",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/spinach-ai/",
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        "user_id": 839578,
        "full_name": "Matan Talmi",
        "title": "Founder/CEO",
        "founder_bio": "🥬 2x founder/CEO, passionate about conversation intelligence & AI\n🥬 Building Spinach AI, the system of record for conversation data \n🥬 Backed by Y Combinator, Zoom & Atlassian \n🥬 Capture conversations so AI can execute \n🥬 Get started free at Spinach.ai\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/matantalmi/",
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      {
        "user_id": 868160,
        "full_name": "Yoav Grossman",
        "title": "Founder/CTO",
        "founder_bio": "Building the AI Meeting Assistant at 🥬 Spinach AI, backed by Y Combinator, Zoom & Atlassian. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yoavgrossman/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/65fe4e18c56c738fda2b97a2867db9c495bf3d60.jpg"
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      {
        "user_id": 868148,
        "full_name": "Josh Willis",
        "title": "Co-Founder, VP Product and User Experience",
        "founder_bio": "Love user experience. AI is making this so interesting!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/getmorejosh/",
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        "title": "Spinach.io wants to help agile engineering teams run better online meetings – TechCrunch",
        "url": "https://techcrunch.com/2022/08/02/spinach-io-wants-to-help-agile-engineering-teams-run-better-online-meetings/",
        "date": "Aug 02, 2022"
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      {
        "id": 66829,
        "title": "🥬 Spinach.io for Google Meet",
        "tagline": "Better daily standups in Google Meet",
        "body": "**TL;DR**\\\nUse [Spinach.io for Google Meet](https://chrome.google.com/webstore/detail/spinachio-daily-standup-t/eippeohhelpgpnchcfigkjmpepicilig) to align as a team in one visual space. No screen sharing or context switching. A faster, more-focused daily standup with instant notes. Free forever for one team.\n\n![uploaded image](/media/?type=post&id=66829&key=user_uploads/839578/82892fa5-1a08-4476-87cb-14851fbc28a7)\n\n**What’s** [**Spinach.io**](http://Spinach.io)**?**\n\nA great standup can save teams hours of confusion and misalignment. The problem is that most standups aren’t that great. People aren’t always prepared so they think out loud. It’s not engaging so people tune out. It’s easy to lose focus and stray off topic. If any of this sounds familiar - please give [Spinach.io](http://Spinach.io) a try and tell us what you think!\n\n**How it works**\n\n![uploaded image](/media/?type=post&id=66829&key=user_uploads/839578/baa2ba9d-7d8b-4fe1-bb2b-eba6041ab9de)\n\n🥬 **Before standup** - each team member prepares their check-in. You can choose from default Yesterday, Today, Blockers categories or create your own. Organizing your thoughts and planning your day helps you share meaningful context instead of trying to recall what you did yesterday.\n\n🥬 **During standup** - running a great standup takes work, and we do it for you. Spinach rotates through each persons’ check-in so there’s no deciding “who goes next”. If you have additional topics to discuss with the team add them to Team Topics and they’ll get added to the agenda.\n\n🥬 **After standup** - instant notes automatically posted to Slack and saved in app for future reference. Easily share status with stakeholders or catch up if you missed standup.\n\n🥬 **Async friendly** - we support async standups for days where you just want to share status updates but don’t have any blockers or other important topics to discuss.\n\n**How to try it**\n\n1\\. [Add our Chrome Extension](https://chrome.google.com/webstore/detail/spinachio-daily-standup-t/eippeohhelpgpnchcfigkjmpepicilig) and sign up\n\n2\\. On your next standup - join Google Meet and click the “S” icon on the bottom right to open Spinach in Meet\n\n[Spinach.io](http://Spinach.io) is free forever for one team and most teams who try it never go back. [Give us a try!](https://chrome.google.com/webstore/detail/spinachio-daily-standup-t/eippeohhelpgpnchcfigkjmpepicilig)",
        "url": "https://www.ycombinator.com/launches/HNt-spinach-io-for-google-meet",
        "votes": 18,
        "created_at": "2022-10-20T11:52:37.248Z"
      },
      {
        "id": 64195,
        "title": "Spinach.io - 🥬 Crush your daily standup",
        "tagline": "We help dev teams run faster, more-effective daily standups",
        "body": "**TL;DR**\\\nMost dev teams have standup every single day. If standup isn’t great, the team suffers daily. Spinach helps dev teams turn their standup into an optimized flow, build healthier meeting habits, and get time back every day. The best part? Try it for free!\n\n**How it works**\\\n**Before standup**\\\nSpinach reminds you to prep in Slack. Each person enters their updates in Spinach.\n\n![uploaded image](/media/?type=post&id=64195&key=user_uploads/868148/22db4952-4d8b-4816-9f7e-6e4632915d82)\n\n**During standup**\\\nSpinach rotates through each person so there’s no fumbling with “who goes next.”\n\nYou can see each person’s update and how long they’ve been speaking.\n\nHave something to discuss? Add it to Team Topics and Spinach will bring it up at the end to keep things moving.\n\n![uploaded image](/media/?type=post&id=64195&key=user_uploads/868148/9d919583-9a63-4921-89c4-24f9dddfd3ed)\n\n**After standup**\\\nSpinach keeps a summary and automatically posts it to Slack. You’ll have a record of all of your previous standups in the app.\n\n![uploaded image](/media/?type=post&id=64195&key=user_uploads/868148/b5fc1850-db72-44bd-808c-54d7c28d5a22)\n\n**Results**\n\n1. **Get time back** _“What took people 10 minutes to cover before, they can now cover in 15 seconds”_ - Austin from Lovage Labs\n2. **Each update is clear** _“When the team is prepared, the updates are more articulate and standup goes stupid fast”_ - Oded from Asurion\n3. **Focused on sprint goals**- _“Spinach saves all the discussion topics til the end. That was really hard to enforce before”_ Rebecca from Freedom Financial\n4. **Summary in Slack**- _“I love seeing today what I said I would do yesterday. It keeps us all accountable”_ Suhas from Courier\n\n**How to try it**\n\n**Try:** Go to [Spinach.io](https://www.spinach.io?yc) and try it for yourself. No demos. No credit cards.\n\n**Share:** Let us know what you think! Have friends who run standups? Please tell them they can get time back every day with Spinach.\n\n**Save:** Try it free!",
        "url": "https://www.ycombinator.com/launches/GhP-spinach-io-crush-your-daily-standup",
        "votes": 110,
        "created_at": "2022-06-29T20:59:08.156Z"
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    "id": 25522,
    "name": "Unlayer",
    "slug": "unlayer",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fcefc5d17d05bbb0fe7c4b9b5875db24dc093a45.png",
    "website": "https://unlayer.com",
    "all_locations": "Dubai, Dubai, United Arab Emirates",
    "long_description": "Unlayer helps companies add AI-powered content creation into their products without building it from scratch. Developers can embed visual builders for emails, pages, popups, and documents, then connect them to AI agents, templates, asset storage, exports, and APIs. We give teams the building blocks to let users and AI workflows create, edit, personalize, translate, and ship content directly inside their own product.",
    "one_liner": "AI-powered content creation infrastructure for apps",
    "team_size": 35,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1644263477,
    "tags": [
      "Developer Tools",
      "SaaS",
      "Design Tools",
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      "AI Assistant"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
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      "Productivity"
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    "regions": [
      "United Arab Emirates",
      "Middle East and North Africa",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/unlayer",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/unlayer.json",
    "year_founded": 2017,
    "city": "Dubai",
    "country": "AE",
    "linkedin_url": "https://www.linkedin.com/company/unlayer/",
    "x_url": "https://twitter.com/unlayerapp",
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      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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        "full_name": "Adeel Raza",
        "title": "Founder",
        "founder_bio": "I'm a serial technology entrepreneur with strong product focus.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adeelr/",
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      },
      {
        "user_id": 118900,
        "full_name": "Muhammad Umair Siddique",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/umairsiddique",
        "x_url": "https://twitter.com/umairsiddique",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f37a4b5a14da90ea421b007669006f7f5d3ba8cc.jpg"
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    "launches": [
      {
        "id": 105004,
        "title": "Elements by Unlayer - Open-source React components for emails, pages, and PDFs",
        "tagline": "Elements lets developers and AI agents create emails, web pages, and PDFs from the same React codebase.",
        "body": "**TL;DR:** We’re launching Unlayer Elements, an open-source React content layer that lets developers and AI agents create emails, web pages, and PDFs from the same codebase. Write once in React, render everywhere.\n\nToday, we’re launching something new and open source:\n\n# Unlayer Elements\n\nAn open-source React content layer for developers and AI agents to create emails, web pages, and PDFs from the same codebase.\n\nGitHub: <https://github.com/unlayer/elements>\\\nDocs: <https://docs.unlayer.com/elements>\\\nDemo: <https://youtu.be/-ZoMlPYUbtk>\n\n## **The Problem**\n\nEvery SaaS product eventually needs content creation.\n\nAt first, it’s just one transactional email.\n\nThen it becomes welcome emails, password resets, receipts, invoices, reports, landing pages, PDFs, internal templates, previews, exports, and visual editing.\n\nMost teams end up maintaining separate systems for each output:\n\n* one system for email templates\n* one system for web pages\n* one system for PDFs\n* one system for visual editing\n* one system for exports\n\nThe content is often similar, but the implementation is different.\n\nThis becomes even more important now that AI agents are generating more code and content. Agents can create fast, but teams still need the output to be structured, reusable, version-controlled, and production-ready.\n\n![uploaded image](/media/?type=post&id=105004&key=user_uploads/105300/5911c2cd-ca33-48e8-86ff-72e1ce4fcfe7)\n\n## **What We Built**\n\nWe built Unlayer Elements: open-source React components for creating emails, web pages, and PDFs from the same codebase.\n\nDevelopers can use familiar components like:\n\n* &lt;Email>\n* &lt;Page>\n* &lt;Document>\n* &lt;Row>\n* &lt;Column>\n* &lt;Heading>\n* &lt;Paragraph>\n* &lt;Button>\n* &lt;Image>\n* &lt;Custom>\n\nEach output mode is tuned for where the content will live:\n\n* &lt;Email> renders email-safe table HTML\n* &lt;Page> renders responsive web HTML\n* &lt;Document> renders print-ready HTML for PDFs and documents\n\nSame component system. Different surfaces.\n\nA few examples of what you can build:\n\n* Transactional emails\n* Landing pages\n* Web versions of emails\n* Invoices\n* Receipts\n* Reports\n* Internal template galleries\n* PDF documents\n* AI-generated content flows\n\nElements also connects with the broader Unlayer platform. Developers can define content structure in code, and when visual editing is needed, teams can bring that work into Unlayer’s Builder so marketers, admins, or end users can edit without touching code.\n\n## **Our Ask**\n\nWe’re open sourcing this early because we want feedback from people building with React, Next.js, email, PDFs, templates, and AI-generated content.\n\nWe’d love for you to:\n\n1. Try it and tell us what feels useful or missing.\n2. Star the GitHub repo if you want to support the project.\n3. Share examples of emails, pages, PDFs, invoices, reports, or AI-generated content workflows you’d want Elements to support.\n\nGitHub: <https://github.com/unlayer/elements>\\\nDocs: <https://docs.unlayer.com/elements>\n\nWould love feedback from the YC community.\n\nEmail: [founders@unlayer.com](mailto:founders@unlayer.com)",
        "url": "https://www.ycombinator.com/launches/RJc-elements-by-unlayer-open-source-react-components-for-emails-pages-and-pdfs",
        "votes": 5,
        "created_at": "2026-07-08T19:42:04.469Z"
      },
      {
        "id": 102816,
        "title": "Unlayer: AI-powered content creation for your product",
        "tagline": "Let your users create beautiful emails, pages or documents with AI.",
        "body": "**TL;DR:** [**Unlayer**](https://unlayer.com) is an AI-powered content creation platform for developers. It gives you **embeddable builders**, templates, APIs, and AI toolkit so your users can create **emails**, **pages**, **documents**, and other content directly **inside your product**.\n\n<https://youtu.be/qp9t74G4VyM>\n\n—\n\n## The Problem\n\nAlmost every software product eventually needs users to create content.\n\nEmails, landing pages, proposals, invoices, documents, announcements, templates, PDFs, and more.\n\n![uploaded image](/media/?type=post&id=102816&key=user_uploads/105300/df31db0c-923c-4ac3-977d-bd881f9586d1)\n\nAt first, this looks like “just add an editor.” Then you need responsive rendering, templates, merge tags, asset management, permissions, versioning, exports, personalization, localization, and now AI generation.\n\nA small feature quietly becomes an entire content creation platform.\n\n—\n\n## What We Built\n\n**Unlayer gives developers the building blocks to add AI-powered content creation into their own products.**\n\nYou can embed visual builders for emails, pages, popups, and documents, then connect them to templates, file storage, exports, APIs, and AI workflows.\n\nYour users can visually create and edit content. Your AI agents can generate, personalize, translate, and modify that content through APIs and skills.\n\n![uploaded image](/media/?type=post&id=102816&key=user_uploads/105300/c9995728-e131-44cd-93cc-d295f255cf1b)\n\nOver time, Unlayer has grown to **1,000+ customers**, from startups to teams at **Netflix**, **Fidelity**, **Bank of America**, **Mastercard, Twilio, Chargebee**, and others.\n\nThat has given us a front-row seat into the same pattern: almost every product eventually needs users or AI to create content inside the product itself.\n\n—\n\n## Why AI Changes This\n\nContent creation is moving from manual editing to assisted and automated workflows.\n\nA user should be able to say:\n\n* **_“Create a launch email for this feature.”_**\n* **_“Translate this landing page into Spanish.”_**\n* **_“Turn this proposal into a branded PDF.”_**\n* **_“Personalize this announcement for each customer segment.”_**\n\n![uploaded image](/media/?type=post&id=102816&key=user_uploads/105300/639a8626-7790-4094-b684-c4800407a6c6)\n\nBut for AI to do this well inside a product, it needs more than a text box. It needs access to templates, design structure, brand rules, assets, exports, and the final builder where humans can review and edit.\n\nThat is what we are building with Unlayer.\n\n—\n\n## Our Vision\n\nWe think the future of content creation inside software has two interfaces:\n\n1. A visual builder for people\n2. An action layer for AI agents\n\nPeople should be able to drag, drop, edit, approve, and fine tune.\n\nAI should be able to create, rewrite, personalize, translate, export, and eventually ship content automatically.\n\nUnlayer is the infrastructure layer that connects both.\n\n—\n\n## Backstory\n\nWe started Unlayer because we kept seeing teams rebuild the same content creation stack over and over.\n\n**Email HTML is painful**. Landing pages need **forms** and scripts. Documents need **PDF generation**. Templates need **permissions**. Assets need **storage**. Every product needs customization. And now AI needs to work across all of it.\n\nWe have spent years solving these problems so other teams do not have to.\n\n![uploaded image](/media/?type=post&id=102816&key=user_uploads/105300/87ce4023-46cd-4d48-8e8a-06774d6c6bc4)\n\n—\n\n## Our Ask\n\nIf your product has users creating emails, pages, documents, templates, or customer-facing content, Unlayer will be useful for you. [Try it out](https://unlayer.com/)",
        "url": "https://www.ycombinator.com/launches/QkK-unlayer-ai-powered-content-creation-for-your-product",
        "votes": 17,
        "created_at": "2026-06-09T21:37:01.868Z"
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        "full_name": "Deboshree Dutta",
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    "website": "https://haddock.app",
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    "one_liner": "AI agents to run restaurant operations",
    "team_size": 40,
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        "title": "These Y Combinator-backed startups want to build the next Brex – TechCrunch",
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        "id": 84018,
        "title": "Nophin - Cresa, AI Analyst for CRE Deal Screening",
        "tagline": "Cresa is like having an analyst who quickly filters out deals that don’t fit your criteria and speeds up due diligence on the ones that do.",
        "body": "**Tl;dr**\\\nToday, to screen a multifamily deal, acquisition teams manually import rent rolls and operating statements and conduct market research for comps before running assumptions to see if a deal fits their criteria; Cresa automates the entire process. Cresa is a fine-tuned multimodal Agent that handles key workflows for acquisition teams 24/7 so they can focus on high-potential investments. Cresa can screen deals using your preferred acquisition model, analyze deal documents, conduct market research, and generate comprehensive reports. Try Cresa’s [Rent Comp Research](https://cresa.nophin.com/) — no signup or prior experience is needed.\n\n<https://www.youtube.com/watch?v=1vPVEDKdekU&ab_channel=NophinAI>\n\n**Team**\\\nWe're Kwadwo and Weeks, a technical team of second-time YC founders and CRE investors on a mission to revolutionize commercial real estate investing. Having experienced the inefficiencies in CRE investing firsthand, we previously built an end-to-end underwriting solution. There, we uncovered a major pain point for investors: the top-of-the-funnel bottleneck of screening deals, where they waste time reviewing countless deals that don’t match their buying criteria.\n\n**Problem**\\\nAcquisition teams are bogged down by the manual tasks required to screen deals, from analyzing deal documents to conducting time-consuming comp research before testing assumptions in an Excel model. A thorough diligence process takes an average of two hours. The workflow is highly manual, yet each deal is unique, preventing easily scaled processes. These inefficiencies lead to missed opportunities and slowed decision-making, making it difficult to focus on high-potential opportunities.\n\n**Solution**\n\nCresa is an AI Screening Analyst that automates multifamily deal screening and diligence processes. Cresa is the first fine-tuned multimodal CRE Agent that handles key workflows for acquisition teams 24/7 so they can focus on high-potential opportunities. Cresa can screen deals using your preferred acquisition model, analyze documents, conduct market research, generate comprehensive reports, and send emails.\n\n![uploaded image](/media/?type=post&id=84018&key=user_uploads/289172/1b4daad8-fe9f-4816-a301-4e41f11994ed)\n\n**Cresa In Action**\n\n<https://www.youtube.com/watch?v=qR4CZ4x0iVk&ab_channel=NophinAI>\n\n**Key Highlights**\n\n1. Specify your investment criteria, and Cresa will automatically screen and filter deals using your acquisition model — each time.\n2. Cresa can analyze and summarize deal documents like rent rolls, T-12s, OMs, and more and answer complex questions.\n3. Sync real-time data to your acquisition models and download the analysis in Excel.\n4. Run dynamic scenarios within your acquisition model.\n5. Ask Cresa to conduct real-time market research from web sources and email you or anyone on your team a comprehensive summary.\n6. Cresa can help generate investment memos using analyzed financials and market research, summarizing key takeaways for stakeholders.\n\n**Our Ask**\n\n* Connect us to acquisition teams focused on multifamily assets.\n* Try Cresa’s [Rent Comp Research](https://cresa.nophin.com/) — No prior experience is needed. Please give us feedback at [founders@nophin.com](mailto:founders@nophin.com)\n* Follow us and share this post on [LinkedIn](https://www.linkedin.com/company/nophin/) and  [X](https://x.com/NophinInc).",
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    "long_description": "Finku is an AI powered personal finance app (budget & money manager) focused on geographies without Open Banking, such as Indonesia. \r\n\r\nFinku makes it easy for users to learn about their spending behaviors and recommends ways for user to achieve their goals faster (i.e saving more, etc.). Finku has helped 1 million Indonesian by offering a more seamless and innovative method of storing financial transactions, by processing these data-points & offering insightful suggestions for users, by providing access to a virtual financial assistant, hence creating a rewarding & sticky experience for our users.\r\n\r\nFinku is backed by B Capital, Partech, Golden Gate Ventures, Goodwater Capital, Trihill Capital and YCombinator.",
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        "full_name": "Felipe Abello",
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        "full_name": "Oscar Rojas",
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        "id": 76572,
        "title": "Nara - Your new employee that boosts sales automatically",
        "tagline": "Nara is a digital sales associate specifically built for Shopify stores",
        "body": "## **tl;dr**\n\nIntroducing the first AI-powered digital sales associate for Shopify stores. More than a tool is like **a team member that helps shoppers on all chat channels.** It gives product details, solves customer problems and disputes, helps them find items, and makes the checkout process easy.\n\nWant to see all Nara's skills? Here is its CV: [https://read.cv/trynara/](https://read.cv/trynara)\n\n## **Demo**\n\n<https://youtu.be/L7VQTTejjN0?feature=shared>\n\n## **Why**\n\nWe understand the overwhelm of running a Shopify store. The endless customer queries, the need for quick responses, and the struggle to grow sales while managing day-to-day operations. It's like running a marathon and a sprint at the same time.\\\n\\\nBut how do we know exactly how this feels? \\\n\\\nWe focused on stepping into our customers' shoes - working directly in their CRMs as sales and support agents to truly understand their pain. \\\n\\\nThis is what our inbox looked like from just one customer in just 2 hours 😂\n\n![uploaded image](/media/?type=post&id=76572&key=user_uploads/195578/81d6c5e2-e175-4d18-9fba-2a1d7aa20a99)\n\nBased on this, we are releasing these new updates for Nara.\n\n## **Introducing**\n\n### **1\\. Automated actions**\n\nNara helps you save time by handling all the order tracking questions, cancelations, refunds, and other workflows from end to end.\n\n![uploaded image](/media/?type=post&id=76572&key=user_uploads/195578/db894347-c737-44f3-a522-a6e5c7035a93)\n\n### **2\\. Omnichannel human-level support**\n\nNara integrates seamlessly into all your chat channels like CRMs, Instagram DMs, email, etc.\n\n![uploaded image](/media/?type=post&id=76572&key=user_uploads/195578/df80aca7-592b-4e7e-afc0-40c97ba7324e)\n\n### **3\\. Human touch experience**\n\nNara is bringing back the comfort and ease of chatting with a helpful sales associate we had in physical stores - not just a traditional text chatbot.\n\n![uploaded image](/media/?type=post&id=76572&key=user_uploads/195578/80aa8f6d-4cf6-4d89-96eb-c8f74b8275ea)\n\n## **Our Ask 🙏**\n\n* If you know a DTC brand or Shopify store let us know, we'd love to connect with them!\n* We are raising our seed round. If you know any investors, or if you are an investor interested in this space, we would love to talk.\n* For further inquiries or partnerships, you can send us an email at [founders@trynara.com](mailto:founders@trynara.com)\n\n_Try us!—you can start using Nara here: _[_https://trynara.com/?utm=launchyc_](https://trynara.com/)\\\n\\\nThank you!!! 🙏",
        "url": "https://www.ycombinator.com/launches/Jv2-nara-your-new-employee-that-boosts-sales-automatically",
        "votes": 16,
        "created_at": "2023-12-01T16:52:13.198Z"
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        "id": 65513,
        "title": "🔔 Raven - A single API for product notifications across SMS, Email, Push, WhatsApp, Slack & more",
        "tagline": "We make it easy for businesses to manage all the multi-channel notifications they send to customers.",
        "body": "**TL;DR** Raven gives businesses a central platform to manage product notifications across SMS, Email, Push, WhatsApp, Slack & more. We do this by connecting 40+ providers like Twilio, SendGrid, Firebase with a single API and giving a central dashboard on top to design & monitor all notifications.\n\n```\n\n```\n\n**📝Book a demo** [**here**](https://calendly.com/priyanshs/platform-demo) **to learn more.**\n\nHey everyone - We’re Priyansh and Sriyansh (yes, we are brothers!) and we would love to tell you about [Raven](https://www.raven.dev).\n\n### 🚫THE PROBLEM\n\nBusinesses spend a lot of resources managing product notifications (think due-date reminders or verification codes). For example to send a payment reminder via SMS, Email & WhatsApp, you have to integrate multiple provider APIs like Twilio, SendGrid, then orchestrate channels basis user preferences and finally send the correct template on-time. The problem is -\n\n* Since each notification has it’s own set of templates & configurations, it becomes complex & time consuming to make any changes.\n* There’s no central visibility as the data is spread across multiple messaging providers. It is a pain for product teams to pull it from 5-6 diff sources, standardize and then analyze them.\n* Ensuring deliverability is a challenge. Some messages like OTPs are critical and their delivery failures lead to huge business losses.\n\n### 🎁OUR SOLUTION\n\nA central platform that brings all your messaging channels & providers in one place, where you can orchestrate and analyze them - all without engineering.\n\n* A single API to send notifications across channels via any of the 40+ providers like Twilio, SES, Firebase, Messagebird, Gupshup.\n* A dashboard gives central visibility on all templates, logs & delivery metrics allowing product teams to optimize CX by analyzing what works and what doesn’t, reduce redundant messages and thereby saving tons of money.\n* Reduces business risk by effectively managing delivery failures using failovers/retries across channels & providers.\n\n### \n\n![uploaded image](/media/?type=post&id=65513&key=user_uploads/584996/91936c0b-0457-43f0-9746-5eee037fcebf)\n\n### 💡WHY WE BUILT THIS\n\nWe’ve previously built the notification infrastructure for Apna (India’s fastest unicorn) & OkCredit (YC S18), and didn’t want any other engineer to go through the same pain as we did. It was not only us, but companies like LinkedIn, Netflix, AirBnB spend $10s of millions/yr with a 10-30 member engineering & product team which just does notifications 🤯.\n\n### 🤑 OFFER + ASK✨\n\n50% off first 3 months for startup community - email [founders@ravenapp.dev](mailto:founders@ravenapp.dev) to redeem\n\n**🥳 We’d love to talk to you -**  [**book a demo**](https://calendly.com/priyanshs/platform-demo) **with us today!**",
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        "url": "https://www.ycombinator.com/companies/flair-labs/jobs/0X4W8Kx-founding-infrastructure-engineer-flair-labs",
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        "salary_range": "$120K - $160K",
        "equity_range": "0.50%",
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        "id": 86082,
        "title": "Flair Labs: Digital Concierge for Real Estate and Lending",
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        "body": "**tl;dr**: Real estate and mortgage brokerages lose billions in commissions yearly in missed opportunities with prospective home buyers and sellers. Flair lets any team deploy their own fleet of digital assistants - tailored to real estate workflows - that allows brokerages to multiply their active conversations.\n\n<https://www.loom.com/share/5e54f4095c7a4841acd070036df437ca?sid=44286c27-98ba-4374-bce1-fb199062002b>\n\n—\n\n### **❌ The Problem**\n\n**Real estate and lending teams lack resources to properly manage client communications.**\n\nEvery day brokerages leave millions of dollars on the table. Why?\n\n* Communication in real estate quickly becomes overwhelming, especially when there aren’t enough hands to stay on top of every client\n* They, therefore, miss over half their phone calls and follow-ups\n* Today - 300,000+ loan officers and 1.6m+ realtors spend hours on the phone getting applicants to complete applications or gathering additional information before they churn to competitors.\n* 85% of the time when a call is missed, clients don’t call back; they often go with another realtor\n\n**Existing alternatives are either expensive or inefficient.** Even small to midsize brokerages can make and receive hundreds, if not thousands, of calls per day\n\n* Receptionists (both virtual & non-virtual) are costly, not 24/7 and operational on the weekend, require months of onboarding, and have high variance in terms of performance\n* Call centers are costly (few dollars / minute), inconsistent, and don’t integrate with business systems (e.g., CRMs)\n\n### **✨ Our Solution**\n\n[Flair Labs](https://flairlabs.ai) allows brokerages to set up their own **digital concierge** that automates client communication and relationship nurturing\n\n![uploaded image](/media/?type=post&id=86082&key=user_uploads/986377/994c9276-0ffe-44b0-b080-5416a5dc294b)\n\n**Speed-to-lead**\n\n* 24/7 availability - automate follow-ups from inbound inquiries to nail down appointment times and collect necessary information\n* Pick up and reengage clients that dropped off online forms or applications\n* Multi-channel sequences through call, sms and email ensure to reach clients where they prefer most\n\n**Lead reactivation**\n\n* Booking confirmations to minimize cancellations / no-shows\n* Follow-ups with previous leads to gather updated information and changes in timelines\n\n**Live transfer & callback scheduling**\n\n* Warm transfer hot leads directly to realtors or mortgage brokers\n* Connect with calendar and CRM to set up times to call back\n\n### **🏆 Team**\n\n[Samir Sen](https://www.linkedin.com/in/samir-sen-3a2b72123/) - Stanford BS/MS in Computer Science. Prev. Apple ML\n\n[Eddie Wu](https://www.linkedin.com/in/eddie-chao-ping-wu-604a98145/) - Stanford GSB. Prev. Citi Group - Director, Mortgages & Lending\n\n![uploaded image](/media/?type=post&id=86082&key=user_uploads/986377/fcf62135-766e-4334-8472-b75191a9e261)\n\n### **🙏 Asks**\n\n* 📣 Sharing: Please share this announcement with your network and follow us on [LinkedIn](https://www.linkedin.com/company/flair-labs-ai/)!\n* 👥 Referrals: If you know of anyone who owns a real estate and mortgage brokerage and could benefit, please connect us [samir@flairlabs.ai](mailto:samir@flairlabs.ai)",
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        "full_name": "Timothy Carambat",
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        "url": "https://www.amd.com/en/ecosystem/isv/consumer-partners/anythingllm.html",
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        "title": "Porting AnythingLLM to Windows on Snapdragon X Series",
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        "date": "Jan 21, 2025"
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      {
        "title": "RTX AI PCs Unlock AI Agents For Solving Problems | NVIDIA Blog",
        "url": "https://blogs.nvidia.com/blog/ai-decoded-agents-anythingllm-rtx-ai/",
        "date": "Nov 27, 2024"
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      {
        "title": "Top trending open-source startups in Q1 2024 - Runa Capital",
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        "id": 83788,
        "title": "AnythingLLM - The all-in-one desktop AI assistant",
        "tagline": "An all-in-one desktop assistant for RAG, AI agents, and more with privacy by default built for everyday people.",
        "body": "![uploaded image](/media/?type=post&id=83788&key=user_uploads/223222/eb7f7465-98d9-4ad3-9186-0931eaee0de2)\n\n—\\\n**tldr;** AnythingLLM is an open-source all-in-one desktop assistant that includes RAG, agents, embedding, and more — all in one package. AnythingLLM desktop requires little or no setup and _just works_ out of the box, while also being highly customizable.\n\nAnythingLLM is also [open-source](https://github.com/anything-llm/anythingllm).\n\n—\n\n# The problem: Consumer AI needs to be the magic box\n\nThe problem is that there are no easy-to-use, privacy-preserving, and customizable desktop AI assistants for everyone. Many existing solutions are either too complex for a non-technical consumer, not privacy-minded, do not offer the needed customization for the consumer, or are point solutions - leaving the user to figure out how to connect the dots.\n\nWe figured out early on from our open-source \"Chat with your documents\" GitHub project that many consumers do not have a deep understanding of how AI works, nor should they have to just use any AI tool. They just want to chat with their documents or have a personal agent that can do things for them. They also want this to just work without having to setup a complex infrastructure. Starting a docker container, opening a term, or running a script is too high a technical barrier, but privacy is **non-negotiable**.\n\n# Our solution: AnythingLLM Desktop\n\nOur solution is AnythingLLM for desktop. It is an all-in-one desktop assistant that includes RAG, agents, embedding, and more all in one package. It is designed to be easy to use, privacy-preserving, and customizable. All of this is packaged in a way that is easy to understand and modify for even a consumer who only has a \"Newspaper headline\" understanding of AI could use it and get the outputs they were looking for without subscribing to a cloud service, installing any software, or having to setup any infrastructure.\n\nAnythingLLM Desktop is designed to be that magic box that just works. It is designed to be a personal assistant that can do things for you. It is designed to be a tool that you can use to chat with your documents, use for work-related tasks, or even use for personal tasks. It strikes the balance between ease of use and information overload on how to set any of this functionality up and get value out of it.\n\n# Why consumers use AnythingLLM Desktop\n\n\\- Installable native app with support for Mac, Windows, and Linux\n\n![uploaded image](/media/?type=post&id=83788&key=user_uploads/223222/1471f232-d89b-4d2b-bf3a-e0cf88fced10)\n\n\\- Pre-bundled LLM provider to get started with any LLM quickly\n\n![uploaded image](/media/?type=post&id=83788&key=user_uploads/223222/02f597cc-5d4c-462d-880c-f360b8044ff9)\n\n\\- Full RAG pipeline with support for any document type\n\n![uploaded image](/media/?type=post&id=83788&key=user_uploads/223222/4ecf566c-a398-4f4f-91a5-f421f845f85b)\n\n\\- Built-in agents with support for any LLM - regardless of function-calling support.\n\n![uploaded image](/media/?type=post&id=83788&key=user_uploads/223222/5b8d6ef6-e807-4bc1-b934-4743c894c481)\n\n\\- Built-in embedding with support for any embedding model\n\n\\- Supports their preferred embedding model, vector database, and LLM provider - if they have one.\n\n\\- Ability to \"tune\" and \"tweak\" settings to get the best results as they become more familiar with the tool and what it is capable of\n\n\\- Extensible with a full Developer API for everything we didn’t build already.\n\n# Why we are doing this\n\nWe are building AnythingLLM because we believe that open-source AI is the future. We are also building AnythingLLM because we believe that the accessible consumer AI market is underserved and has too many technical hurdles. There are many great tools and projects, but piece-mealing them together is certainly not the ideal way for a consumer to experience AI or leverage it properly.\n\nWe also believe open-source LLMs will always be at par for consumer use cases, and adoption and integration of hardware into consumer devices will be commonplace. AnythingLLM will be able to leverage all of these advances as time goes on while remaining privacy-minded.\n\n# Our Asks\n\n[Today, we launched on Product Hunt](https://www.producthunt.com/posts/anythingllm) and are looking for feedback and support. We are also looking for feedback on what else we should add to AnythingLLM Desktop to really make it a one-stop shop for everyone to use.\n\nContact: [founders@mintplexlabs.com](https://mailto:founders@mintplexlabs.com) | Website: <https://anythingllm.com>",
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        "full_name": "Blesson Abraham",
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        "id": 109278,
        "title": "Account Executive (Full Cycle)",
        "url": "https://www.ycombinator.com/companies/aviaryai/jobs/Lxfz6dw-account-executive-full-cycle",
        "location": "Chicago, IL",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$180K - $220K",
        "equity_range": "",
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        "id": 109279,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/aviaryai/jobs/m5Dm1Qa-forward-deployed-engineer",
        "location": "Chicago, IL",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "0.01% - 0.10%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 109280,
        "title": "Strategic Account Manager",
        "url": "https://www.ycombinator.com/companies/aviaryai/jobs/lk9fk0O-strategic-account-manager",
        "location": "Chicago, IL",
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        "title": "YC-backed Cambio puts AI bots on the phone to negotiate debt, talk to a bank’s customers | TechCrunch",
        "url": "https://techcrunch.com/2024/02/13/yc-backed-cambio-puts-ai-bots-on-the-phone-to-negotiate-debt-talk-to-a-banks-customers/",
        "date": "Feb 13, 2024"
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        "title": "This Chicago Startup Is Using AI to Help People Improve Their Credit | Built In Chicago",
        "url": "https://www.builtinchicago.org/2023/03/16/chicago-future-5-company-cambio-q1-2023",
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      {
        "id": 64180,
        "title": "AviaryAI - Outbound voice agents for the financial services industry",
        "tagline": "Drive revenue and engagement with automated and compliant AI voice interactions",
        "body": "**TLDR**\\\n[AviaryAI](https://www.helloaviary.ai) is the industry's first outbound AI service team for banks, credit unions, and insurance companies. In a landscape where only 18% of financial service providers make proactive outbound calls and rely heavily on emails, AviaryAI offers a groundbreaking solution. Powered by a private LLM, our suite of products helps institutions leverage Generative AI while adhering to stringent regulatory and compliance standards.\n\n**The problem**\n\n* **Limited Outbound Calls:** Only 18% of banks, credit unions, and insurance companies make outbound calls, missing crucial engagement opportunities throughout the customer lifecycle.\n* **Inefficiency and Missed Opportunities:** Internal employees, often untrained or unmotivated, handle outbound calls which leads to incomplete interactions and lost revenue.\n* **Challenges with GenAI Adoption:** Financial institutions hesitate to use general-purpose models like ChatGPT due to their lack of transparency and regulatory compliance concerns.\n* **Complex Interactions:** Automating post-call workflows (e.g., opening new accounts, activating cards) is challenging due to the need for multiple systems to work together seamlessly.\n\n**Our Impact**\n\n* **Proven Success Rate:** 26% of our AI-driven calls have resulted in successful customer interactions, significantly boosting engagement and revenue for our clients.\n* **High Interaction Rate:** 72% of all answered calls have an interaction with our voice agents beyond a simple “hello”. \n\n[Service Agent For Financial Institutions](https://youtu.be/IIeoPoZ_wVc)\n\n**The Founding Team**\n\n* Blesson Abraham | Co-founder, CEO: Blesson Abraham spent 5 years in leadership roles at Baxter Credit Union (BCU) before founding SavvyIntel (Acquired by TruStage in 2017) a SaaS analytics solution built for banks and credits union. \n* Jay Patel | Co-founder, CTO: Jay Patel is a two-time founder and started the non-profit social-justice app FireWatch in 2020. He leads development for Cambio’s consumer and enterprise LLMs.\n\n**Why Now?**\n\nIn the face of financial and regulatory pressures, banks, credit unions, and insurance companies are hesitant to adopt new technologies due to compliance fears. AviaryAI addresses this by offering a vertical-specific LLM, fine-tuned with industry data to tackle the unique challenges of financial services.\\\n\\\n\\*\\*Our Ask?\\*\\*\\\nIf you are in the financial services industry and are looking to move simple interactions to AI, reach out to us at [info@helloaviary.ai](mailto:info@helloaviary.ai)",
        "url": "https://www.ycombinator.com/launches/GhA-aviaryai-outbound-voice-agents-for-the-financial-services-industry",
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        "created_at": "2022-06-29T15:27:46.242Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "We help healthcare providers increase profitability and cashflow by automating their patient billing and collections processes.\r\n\r\nToday, healthcare providers in the US are leaving up to 20% of their profit margins on the table due to subpar patient billing and collections processes. Billing patients and collecting their payments is a complex process that requires specialized skills and a lot of effort. Traditionally, healthcare providers have done this manually, with limited automation around one-way reminders. This leads to limited engagement with payers and subpar collection results.\r\n\r\nArgovox changes this by making new levels of payer engagement possible at scale. Through both voice and text conversations, our AI agents can engage in complex, multi-turn patient billing and collection conversation. This leads higher engagement with payers and optimal collection results.",
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        "full_name": "Noe Branagan",
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        "full_name": "Luis Pellerano",
        "title": "Founder",
        "founder_bio": "Founder of Ruffo/Argovox (YC S22). Built AI voice agent for patient billing support (Argovox) and app for signature and apostille of cross-border real estate transaction documents (Ruffo).\n\nM&A and capital markets attorney for 8+ years at Simpson Thacher (NYC and Palo Alto).",
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        "id": 64900,
        "title": "Ruffo 🏝🏠 Cross-border real estate transactions",
        "tagline": "We're the simplest way for you to complete the purchase of property abroad",
        "body": "**TL;DR -** When buying a home abroad, Ruffo lets buyers complete the required documents 100% online instead of having to get on a plane, go to a foreign consulate, or hire a foreign attorney.\n\n🙄 **The problem**\n\nWhen purchasing real estate abroad, signing transaction documents is a huge pain. You either get on a plane to sign in person, take your chances going through a maddening DMV-like experience at the nearest consulate, or pay thousands of dollars to (often questionable) foreign attorneys for signing in your name.\n\nThe risks, hassles, and costs of today’s cross-border document completion process drives many buyers to abandon their purchase halfway through, and forces many other would-be buyers to hold back. On top of stifling the homeownership dreams of buyers, today’s process also costs home sellers, real estate agents and mortgage lenders millions of dollars in lost sales every year.\n\n![](https://lh6.googleusercontent.com/FpPiykbH8NQkTX3KxSy3oAlLOemXqafh-x66kcjUbyD_pEjzWMJlXEP52n0JR8RdR7bmcO9piJm_DJTlNu-qKSdV3UM1IImfwNaMq1gxl1gbA9tY4sS_hcgzrUztnA759US0RIXp9_2I1Rp4o7clYK0)\n\n\n😌 **The Solution**\n\nWe allow buyers to complete, sign and notarize foreign transaction documents from their computer or mobile phone in just minutes. Ruffo generates the relevant transaction documents and connects the buyer to a notary in the U.S. to sign and notarize online. Ruffo then obtains the required government certifications to ensure that the document is legally valid in the foreign country where it will be used. The end result is a seamless foreign document generation and signature experience that saves the buyer time and money, while helping home sellers, real estate agents and mortgage lenders close more sales in less time.\n\n![](https://lh4.googleusercontent.com/8jFLBHCCeTIzLl_WorfdtCVagFyAHhQ1so48F_PnKiWNqP4WRGYqt3XfDytJJN3g24y0SrBsnHdoOHbA6lAurJT8zy6k8AtT7aV6V80DODrnooGLEvFFLSqONSZgBECBy1QIdspfRy-yWtYCs25XQQg)\n\n\n**In the words of one of our customers:**\n\n_“I’ve seen the difficulties other US buyers have gone through when trying to complete their documents \\[for the purchase of property abroad\\]. My experience has been completely different. Ruffo made the process quick and easy. I was able to complete it from my house, without having to go to a consulate or waste money.” -_ Rosa Parra, New York, NY.\n\n🙏🥺 **The Ask**\n\n1. **Introduce us to anyone you know who works (directly or indirectly) in real estate in Mexico, specially in areas frequented by tourists and expats like Cabo, Tulum, and etc.**. Real estate developers, agents, mortgage lenders, home marketplaces, mortgage marketplaces, appraisers, etc. Would love to chat with any of them!\n2. If you or anyone you know is trying to purchase real estate in Mexico or the Dominican Republic, let us know! We’ll make it a lot simpler :)\n3. If you know of anyone who has purchased real estate in a country they did not reside in, send them our way! We’ll pay them to tell us about their experience.\n4. If you have ever had to deal with cross-border paperwork, we’d love to hear about it! Whether you loved or hated the experience, we’ll probably learn something from it and might learn of new ways our platform could create value.",
        "url": "https://www.ycombinator.com/launches/Gsm-ruffo-cross-border-real-estate-transactions",
        "votes": 21,
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    "name": "Jasmine Energy",
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    "all_locations": "Washington, DC, USA; Remote",
    "long_description": "Jasmine makes it easy to register, sell, finance, and retire RECs (renewable energy certificates). Our AI can \"read\" unstructured data (CRM notes, PDFs, images, etc) and use that information to complete webforms and filing document. This takes previously manual error prone process and makes it automatic and self-healing. ",
    "one_liner": "Claim solar incentives with AI",
    "team_size": 5,
    "industry": "B2B",
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    "year_founded": 2022,
    "city": "Washington",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/jasmine-energy/",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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        "full_name": "Nathalie Capati",
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        "full_name": "Dalton Combs",
        "title": "Founder/CPO",
        "founder_bio": "Minds, Machines, Markets",
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        "full_name": "Matt Mayberry",
        "title": "Founder",
        "founder_bio": "on a relentless mission to see what man can make of man 🏴‍☠️",
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        "title": "Jasmine launches energy trading app",
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      {
        "id": 65777,
        "title": "Jasmine Energy — Claim Solar Incentives with AI ☀️",
        "tagline": "Jasmine automates common and confusing workflows, helping solar owners get paid!",
        "body": "Hi YC!  👋\n\nWe’re Nathalie, Dalton, and Matt from Jasmine Energy.  Today we are proud to launch our latest AI tool to help solar owners claim their incentives.\n\nThe U.S. solar market is booming. It took 50 years to reach 5 million installations—now that number will double to 10 million in just six. 97% of these are on residential and commercial rooftops, yet over 1.7 million homes are missing out on valuable Renewable Energy Certificate (REC) income. Why? Because REC (Renewable Energy Certificate) management is still manual, confusing, and built for utilities—not everyday solar owners. Jasmine Energy changes that. Our AI-powered asset manager puts registration, compliance, and sales on autopilot, making it easy to turn solar generation into recurring income—with just a few clicks.\n\n![uploaded image](/media/?type=post&id=65777&key=user_uploads/421/1c122467-5767-4a4e-b073-e88acd17faf4)\n\n**TL;DR: Jasmine is the first end-to-end REC management platform built for residential and commercial solar. We automate common and confusing workflows—helping solar owners get paid extra for generating clean energy.** \n\n### **The Problem**\n\n**Claiming RECs requires too much overhead for small or independent developers. (it works fine for the utility scale developers who designed it)**\n\nResidential and commercial solar generators lose time and money navigating an outdated, fragmented system for managing Renewable Energy Certificates (RECs).\n\nThe industry still relies on paper, pens, and people. There’s no single source of truth, no standardized documentation, and no digital infrastructure to support efficient operations.\n\n* **Complex registry compliance:** Each generator must register with one of several regional tracking systems, all with different rules, document requirements, and verification steps.\n* **Manual data reporting:** Uploading generation data, proving eligibility, and submitting documents are tedious, inconsistent, and prone to error.\n* **Inefficient monetization:** Selling RECs means navigating opaque markets, unclear pricing, and a maze of disconnected brokers and buyers—without a unified platform.\n\n### **Our Solution – AI-Powered Automation for the Solar Industry**\n\n**Use AI to “read” details from PDFs and to interact with legacy government websites.** \n\n![uploaded image](/media/?type=post&id=65777&key=user_uploads/421/c7d2bd40-b6eb-4064-b70f-120b3eeb1ea9)\n\nJasmine replaces the outdated, paper-based REC management process with an AI-powered platform purpose-built for residential and commercial solar generators.\n\nOur asset manager brings structure, standardization, and automation to an industry still running on spreadsheets and guesswork:\n\n* **Automated registration:** Jasmine handles the full lifecycle of registration, reporting, and verification across all major tracking systems—no paperwork, no confusion.\n* **Instant data processing:** Our AI ingests, validates, and submits generation data directly from inverters or utility portals to ensure RECs are accurately and efficiently issued.\n* **Transparent payouts:** Track your REC sales in real time and get paid faster, with full visibility into pricing, status, and transaction history.\n\nJasmine turns a fragmented, manual process into a seamless, digital experience—so solar owners can focus on generating power, not paperwork.\n\n### **Key Features**\n\n📝 **Automated Asset Registration** – Jasmine handles onboarding your residential or commercial solar system into the appropriate REC tracking registry, eliminating paperwork and manual errors.\n\n✅ **AI-Powered Data Validation** – Our platform connects to your inverter or utility portal to automatically validate and submit generation data in real time—ensuring fast, compliant REC issuance.\n\n📈 **Transparent Reporting & Analytics** – Get a clean, centralized view of your REC portfolio: generation history, earnings, sale status, and payout timelines—all in one dashboard.\n\n![uploaded image](/media/?type=post&id=65777&key=user_uploads/421/e3f34226-de05-4e49-a60f-b4b95d079cfc)\n\n### **Market Opportunity**\n\n* **5M+ solar systems in the U.S.** eligible for REC sales.\n* **$5B+ annual REC market** that is growing as corporations push for sustainability goals.\n* **85% of small-scale generators** don’t currently monetize their RECs due to complexity.\n\n### **Who We Are For**\n\n🏠 **Home Solar Owners** \\\nEarn passive income from your rooftop solar—no spreadsheets, no stress. Jasmine fully automates REC registration, reporting, and sales so you can **get paid fast** for the clean energy you’re already producing.\n\n🏢 \\*\\*Commercial Developers & Independent Power Producers (IPPs)\\*\\*\\\nManage RECs across portfolios of solar assets with zero friction. Jasmine scales with your business—automating multi-site registration, streamlining compliance, and optimizing REC monetization from start to finish.\n\n🤝 **Third Party Owners & Origination Teams** \\\nThird Party Owners (TPOs) own many thousands of small solar generators. Each site has the compliance overhead as a single utility scale facility. Jasmine helps  third party owners seamlessly register and track hundreds or even thousands of small distributed generators quickly and accurately.\n\n### **Our Ask**\n\n**If you have solar:**  \\\nUse the product!  You can upload your solar documents and claim your incentives TODAY -> <https://assets.jasmine.energy> \n\n**If you don't have solar:**  \\\nIntroductions: Know a homeowner, business with solar, or a local solar installer? Refer them to Jasmine! Here’s a quick blurb you can share: \n\n_\"Jasmine Energy automates Renewable Energy Certificate (REC) management for residential and commercial solar. We handle registration, compliance, and REC sales using AI-powered automation—so solar owners can earn passive income without lifting a finger.\"_\n\n_📧:  _[_nathalie@jasmine.energy_](mailto:nathalie@jasmine.energy)\n\n🔗 [jasmine.energy](http://jasmine.energy)\n\nJoin us in simplifying and scaling REC management for the clean energy transition. 🚀\n\n**Nathalie, Dalton, and Matt**\n\n![uploaded image](/media/?type=post&id=65777&key=user_uploads/421/8d311047-fc85-4a85-9015-f05db3eb3b4f)\n\n",
        "url": "https://www.ycombinator.com/launches/H6v-jasmine-energy-claim-solar-incentives-with-ai",
        "votes": 41,
        "created_at": "2025-04-06T16:21:38.000Z"
      },
      {
        "id": 73943,
        "title": "Jasmine Energy:  Realtime climate asset trading",
        "tagline": "The easiest way to make your company 100% powered by renewables",
        "body": "**TL;DR:** Jasmine makes it easy to claim, buy, and sell renewable energy certificates.\n\nHi Everyone! [Nathalie](https://www.linkedin.com/in/nathaliecapati-energy/), [Dalton](https://www.linkedin.com/in/tdaltonc/), and [Matt](https://linkedin.com/in/matthewmayberry) here to (re)introduce [**Jasmine Energy**](https://jasmine.energy/) 🔋\n\nOn Jasmine, anyone can claim, sell, buy, and retire [energy attributes](https://en.wikipedia.org/wiki/Energy_certificate) directly.\n\nEnergy attribute certificates (EACs) (sometimes called Renewable Energy Certificates (RECs)  are a $10B market that is stuck in a time capsule from the fax machine era. Today's EAC market is confusing and time-consuming, taking weeks to register and days to trade.\\\n\\\nWe are on a mission to accelerate the net-zero transition by building climate asset markets that are accessible, transparent, and efficient.\n\n**💢 The Problem**\n\nRECs are a valuable source of revenue for renewable energy generators and are worth up to $500/MWh! The problem is EACs are still traded using phone calls and fax machines. The whole process is confusing and time-consuming, taking weeks to register and days to trade. Middlemen currently keep up to 30% of trade value. \n\n![uploaded image](/media/?type=post&id=73943&key=user_uploads/89898/29c68bd5-72fe-4072-86fc-e6d3b32cc819)\n\n**🤝 The Solution**\n\nOn Jasmine, anyone can buy and sell EACs at a posted price, permissionless, with settlement in seconds.  \n\nJasmine helps users manage their renewable energy assets by bridging RECs onto the blockchain and enabling DeFi transactions that are impossible in the existing markets. When a tokenized EAC is retired, Jasmine handles regulatory filings and auditing (filing paperwork, making phone calls, etc).\n\nJasmine provides the infrastructure to make every step of the buy and sell side process more efficient and transparent, allowing renewable energy generators to make more money, enabling commercial buyers to have a verifiable audit trail of their energy consumption, and giving energy traders the tools to operate more efficiently.\n\n![uploaded image](/media/?type=post&id=73943&key=user_uploads/89898/1700472b-a8b3-49b3-8eac-f0bb4076432b)\n\n**♻️ How does this directly help the climate?**\n\nUnder business as usual, we're not going to build enough global clean energy capacity to hit our 2050 goal of (1) electrifying the economy, (2) decarbonizing the electricity grid, and (3) improving people's quality of life by expanding access to affordable electricity. \n\nA more liquid EAC market will make renewable energy projects less risky to finance, attracting new investors to accelerate the grid’s decarbonization.  We’re bringing those EACs onto the blockchain not just for the transparency and liquidity benefits, but also because DeFi will quickly generate the financial derivatives to further incentivize project financing.\n\n🙏🏻 **Asks**\n\n* Engage with us on [ProductHunt](https://www.producthunt.com/posts/jasmine-energy) today! 🐱\n* Use RECs to make your company 100% renewable\n* Intro us to large generators and/or large buyers\n  * Utility and nonutility generators (NUGs)\n  * Renewable energy builders\n  * Climate asset traders & brokers\n  * Builders in the climate and crypto space\n  * ESG offices & officers\n\n**Come join our communities and use our dApp**\\\n\\\nHomepage:  <https://jasmine.energy>\\\nDiscord: <http://discord.gg/qsumZWzkC5> \\\nTwitter: <https://twitter.com/jasmine_energy>",
        "url": "https://www.ycombinator.com/launches/JEd-jasmine-energy-realtime-climate-asset-trading",
        "votes": 17,
        "created_at": "2023-08-09T14:46:29.021Z"
      }
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    "id": 27712,
    "name": "Brewit",
    "slug": "brewit",
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    "website": "https://brewit.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Brewit helps companies to create their role-specific BI agents, trained on their database (through feeding sample queries, metric definitions, column descriptions, etc. to create a semantic layer) that can answer data questions/provide data insights (write SQL, generate plots) through a natural language experience.",
    "one_liner": "Conversational data analytics for every team",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1674519292,
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    "status": "Acquired",
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    "url": "https://www.ycombinator.com/companies/brewit",
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/brewit",
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    "primary_partner": {
      "name": "Harj Taggar",
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    "founders": [
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        "user_id": 557708,
        "full_name": "Leo Lu",
        "title": "Founder/CEO",
        "founder_bio": "Leo Lu is the co-founder and CEO of Brewit. Before founding Brewit, Leo was a product manager at JP Morgan, working on an internal business intelligence platform that powers thousands of internal commercial bankers within the organization to find more upsell opportunities and to better prospect. He graduated from UCSD with a degree in Management Science and a minor in Data Science.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/songanglu/",
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        "user_id": 1140882,
        "full_name": "Mark Ding",
        "title": "Founder/CTO",
        "founder_bio": "Mark Ding was the co-founder and CTO of Brewit (an AI data analyst agent). Before Brewit, he was a data scientist & engineer on Tesla's data platform team. \n\nUC Berkeley EECS Master | UCSD Data Science",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kailingding/",
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      {
        "user_id": 1208671,
        "full_name": "Sam Ding",
        "title": "Founder",
        "founder_bio": "Sam Ding is the co-founder of Brewit. Before Brewit, he was a software engineer at Apple, building internal platforms on the Wireless team. Before He graduated from the University of Washington with a degree in Human-Computer Interaction.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kaishan-ding/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/087cbec8ac12c6c7e11c75e896f3ea2ca70cc69a.jpg"
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    "launches": [
      {
        "id": 80234,
        "title": "⚡️ Brewit - Your AI analyst who answers your data questions in seconds",
        "tagline": "Chat with your data warehouse, generate dashboards and reports within minutes",
        "body": "# **TL;DR:**\n\n[Brewit](https://brewit.ai/?utm_source=yc_launch) helps companies build a business intelligence agent on top of their database and data knowledge. Regardless of their previous technical abilities, anyone can get their data questions answered with beautiful visualizations and insightful interpretations within seconds. Brewit will understand your data schema knowledge, write SQL, and generate the relevant charts behind the scene. It also self-improves as users provide more feedback. [Watch our demo video!](https://www.loom.com/share/f1d6ad7a8d1e4cab97a9fda0f7a6b1be?sid=8e6e0f14-69e0-4846-9761-7287d9c45d21)\n\n### **❌ The Problem**\n\n**Ad-hoc data questions are almost never answered on time:** A mid-sized data team can receive hundreds of data requests per week; on average, it takes 1-2 weeks for these questions to be answered. Not only does this slow down the decision-making process, but it can also derail the data teams from focusing on more meaningful projects.\n\n**Not everyone has the time to learn SQL and visualization tools:** It can take months for someone to master SQL or tools like Tableau, and without these skills, it is hard for someone to perform in-depth analysis or explore the database independently.\n\n**LLM can hallucinate without the relevant context:** Many people use ChatGPT's code interpreter to perform data analysis on specific business tables, but without having the full picture of the company's data schemas and knowledge (aka a semantic layer), ChatGPT often \"hallucinates\" with inaccurate answers. In addition, companies have no oversight of the questions being asked.\n\n### **✨ Our Solution**\n\n1\\. **Fine-tune** the LLM based on your data dictionary and metrics definitions. The agent will self-improve upon users' feedback and corrections\n\n![uploaded image](/media/?type=post&id=80234&key=user_uploads/557708/57721199-8881-4b54-a514-df2a0cf01770)\n\n2\\. Human-like **analytics** **agent** that can clarify your question, answer it with relevant visualizations, and help you to drill down to uncover more insights, all through natural language\n\n![uploaded image](/media/?type=post&id=80234&key=user_uploads/557708/b5ab39eb-f87b-41c6-9f31-704d71050c3a)\n\n3\\. Build **reports** with AI-generated insights\n\n![uploaded image](/media/?type=post&id=80234&key=user_uploads/557708/ab52f79c-13b6-400e-9931-e7fe2778cdb0)\n\n4\\. Save your charts into a **dashboard** and track your key metrics in one place\n\n![uploaded image](/media/?type=post&id=80234&key=user_uploads/557708/7c2a48ad-8ff0-407d-8ae5-76aca04df540)\n\n5\\. 🔒 Enterprise-level security: You can self-host Brewit in your environment, select your preferred LLM, and integrate with your favorite IM such as Slack\n\n### **🙏 Ask**\n\nWe're live with customers now! Feel free to book a [time](https://brewit.ai/contact) or email [leo@brewit.ai](mailto:leo@brewit.ai) to see a demo.\n\nGive Brewit a [try](https://app.brewit.ai/) - we've connected a demo database for you to play around with the app :)\n\nConnect us to data and analytics leaders in your network!",
        "url": "https://www.ycombinator.com/launches/Ks6-brewit-your-ai-analyst-who-answers-your-data-questions-in-seconds",
        "votes": 31,
        "created_at": "2024-04-17T03:54:55.149Z"
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    "id": 27713,
    "name": "Lynx",
    "slug": "lynx",
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    "website": "https://uselynx.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Lynx is an AI platform that investigates and resolves engineering issues directly in your environment, from data anomalies to production outages. When incidents arise, Lynx will automatically gather information, pinpoint root causes, and execute solutions. Lynx makes incident resolution faster and more reliable, so teams can minimize downtime and focus on building.",
    "one_liner": "AI platform for investigating and resolving engineering incidents",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1675473274,
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      "DevOps",
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    "status": "Inactive",
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      "America / Canada",
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      "Partly Remote"
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        "full_name": "Max Lu",
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      },
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        "user_id": 1160505,
        "full_name": "Lydia Ding",
        "title": "Founder",
        "founder_bio": "Founder / COO at Lynx",
        "is_active": false,
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      {
        "id": 87299,
        "title": "Lynx: AI Incident Resolution for Eng Teams",
        "tagline": "Meet Lynx, the platform to help engineers resolve oncall incidents faster!",
        "body": "[Lynx](https://uselynx.ai) is an AI-powered incident resolution platform that helps engineers diagnose and resolve on-call issues faster. If you’ve ever been woken up at 2 AM for a production incident and spent hours piecing together logs, metrics, and documentation, Lynx can help. Sign up on our [website](https://www.uselynx.ai/getstarted), reach out to us at [founders@uselynx.ai](mailto:founders@uselynx.ai), or schedule a time with us on [Calendly](https://calendly.com/codecompleteai/lynx-demo).\n\n### The Problem\n\nSoftware engineering has evolved, but on-call hasn’t. Even with the best observability tools, finding the root cause is slow and frustrating: systems grow more complex, documentation becomes scattered, and tribal knowledge gets lost as engineers leave the company.\n\nCompanies need a faster, more intelligent way to diagnose and resolve issues.\n\n### Our Solution\n\nLynx is an AI-powered **incident resolution platform** that allows engineers to easily investigate and resolve issues directly in their development environment.\n\nCheck out our product [demo](https://youtu.be/atzdMyd7PG0)!\n\nWhen incidents arise, **Lynx will automatically gather information, pinpoint root causes, and perform actions to help fix the issue**. Lynx lives on your dev server, so it can connect with all the tools and integrations in your environment. You can directly run code or execute commands on the Lynx platform in order to resolve your issues.\n\n[Lynx Demo - Directly Resolve Incidents](https://youtu.be/TbvYtI5SstQ)\n\nWe built out chain-of-thought command execution so Lynx can automatically generate queries step-by-step and retrieve all the context it needs.\n\n[Lynx Demo - Chain of Thought Command Execution](https://youtu.be/EANK62F75Pc)\n\nWe implemented several safeguards to ensure Lynx only executes read-only commands, but if you want a bit more control, you can opt to manually approve each command before it runs:\n\n[Lynx Demo - Manual Command Execution](https://youtu.be/oGUpwGSPdVQ)\n\nLynx focuses on helping engineers **resolve** incidents instead of just managing them.\n\n### Why We’re Building This\n\nWe started by building self-hosted, fine-tuned AI coding assistants, but we quickly realized coding was just a fraction of an engineer’s workflow. Teams spend just as much—if not more—time testing, debugging, and deploying.\n\nWe saw an opportunity to apply AI beyond generating new code, with on-call standing out as a major pain point. Engineers were losing hours digging through logs, retracing past incidents, and manually correlating data across tools.\n\nLynx was created to streamline incident resolution, but it goes beyond just on-call incidents. Our vision is to create an AI agent that can understands all the ins and outs of your tech stack so it can predict, investigate, and resolve any technical issue.\n\n### **Ask: How you can help**\n\nIf your team has a heavy on-call burden, we'd love to chat about your workflows and pain points.\n\n* Try out our product! Sign up for our waitlist: <https://www.uselynx.ai/getstarted>\n* Introduce us to engineering leaders or teams who might benefit from Lynx.\n\nQuestions? Visit our [website](https://uselynx.ai/), reach out to [founders@uselynx.ai](mailto:founders@uselynx.ai), or schedule a time with us on [Calendly](https://calendly.com/codecompleteai/lynx-demo).\n\n![uploaded image](/media/?type=post&id=87299&key=user_uploads/471786/1e163e61-6d72-4178-b08b-2342f1ad445d)\n\n",
        "url": "https://www.ycombinator.com/launches/Mi3-lynx-ai-incident-resolution-for-eng-teams",
        "votes": 23,
        "created_at": "2025-01-30T14:29:09.564Z"
      },
      {
        "id": 69046,
        "title": "CodeComplete - GitHub Copilot for Enterprise",
        "tagline": "AI coding assistant for enterprise that is self-hosted to protect their IP and fine-tuned to their codebases",
        "body": "### **TLDR**\n\n[CodeComplete](http://codecomplete.ai) is GitHub Copilot for Enterprise. Large companies can't use Copilot because of the security and privacy risks, so we're building a self-hosted version that’s also fine-tuned to the company's codebase. \n\n**If you (or if you know anyone else who):**\n\n* **Would like to use Copilot at work but cannot, or**\n* **Would like a version of Copilot that’s fine tuned to your enterprise codebase**\n\nPlease reach out to us at [founders@codecomplete.ai](mailto:founders@codecomplete.ai) or schedule a time with us on [Calendly](https://calendly.com/lydia-codecomplete/intro). \n\n—\n\n---\n\nHi everyone, we’re Max and Lydia, and we’re building CodeComplete: an AI-powered code assistant built for enterprise companies. We’re incredibly excited about the advances in generative AI and are on a mission to transform the way developers work. Our code completion product is the first in a suite of AI-powered dev tools we’d like to build. \n\n### **The problem**\n\nWe love GitHub Copilot, but in order to use it, you need to send your code to GitHub, Microsoft, and OpenAI. Many large enterprise companies strictly forbid this due to **security and privacy concerns**, so they cannot leverage AI-powered dev tools to multiply their productivity.\n\nAlso, the underlying **Copilot model is not tuned to your codebase**, so you don't always get relevant suggestions. It’s best practice for developers to use their company’s frameworks and libraries. However, without fine tuning, code generation models can suggest generic code, which decreases legibility and introduces technical debt, performance issues, and security holes in the codebase.\n\n### **The solution**\n\nCodeComplete is a **self-hosted AI coding assistant tool that's fine tuned to your codebase**. We train powerful code generation base models on your codebase so we can deliver more relevant suggestions. We deploy these models directly on-premises or in your own cloud, so your valuable intellectual property stays with your company. With CodeComplete, your team can leverage cutting-edge AI technology to be more productive, quickly ramp up developers, and write better code while staying security compliant.\n\n**Demo**\n\n![uploaded image](/media/?type=post&id=69046&key=user_uploads/1160505/0dbe9136-8d6c-415f-a09e-c6f81bba8ddb)\n\n### **Why we’re building this**\n\nMax wanted to use GitHub Copilot at Meta, but leadership explicitly blocked him from doing so. We believe AI-powered dev tools are the future, and we think they can be especially powerful and deliver value at larger companies. We want to set companies up for success in the long run by helping the millions of developers at these companies leverage new AI technology.\n\n**Buy vs. Build**\n\nThis is not a core competency for many large enterprises. Buying a solution will save millions by freeing up engineering resources and catapulting dev velocity. \n\n### **Ask: How you can help**\n\n* Connect us to an engineering leader at a large company that needs our product. [Email us](mailto:founders@codecomplete.ai)!\n* Connect us to engineers who really want to use Copilot but cannot. [Email us](mailto:founders@codecomplete.ai)!\n* Try out our product. Sign up on our [website](https://www.codecomplete.ai/)!\n* **We will provide a $500 referral bonus if your referral becomes a paying customer.**",
        "url": "https://www.ycombinator.com/launches/Hxe-codecomplete-github-copilot-for-enterprise",
        "votes": 45,
        "created_at": "2023-02-06T14:02:26.861Z"
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    "long_description": "loopfour builds reliable, automated workflows across the tools your business already uses, including NetSuite, QuickBooks, Stripe, and Salesforce.\r\n\r\nNo fragile integrations. No AI hallucinations. Just financial operations that work, every time.\r\n\r\nWe also make JustPaid, our billing automation product.",
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    "team_size": 20,
    "industry": "Fintech",
    "subindustry": "Fintech",
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        "full_name": "Daniel Kivatinos",
        "title": "Founder/CEO",
        "founder_bio": "loopfour CEO & cofounder.\n\nI’ve worked across multiple startups and raised millions of dollars of venture capital funding over the last several years for my startups.\n\nCofounded DrChrono, acquired in 2021, making DrChrono a top 1% YC exit.",
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        "user_id": 75267,
        "full_name": "Anelya Grant",
        "title": "Founder",
        "founder_bio": "Immigrant founder solving B2B billing",
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      {
        "user_id": 352359,
        "full_name": "Vinay Datta Pinnaka",
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        "founder_bio": "Vinay is a co-founder and founding engineer at Loopfour with over 10 years of experience in building scalable web applications. He scaled the billing system for Drchrono to handle $4B+ worth transactions. Vinay holds a master's degree in Computer Science with a specialization in Human-Computer Interaction. He is responsible for overseeing Loopfour's technology strategy and product development",
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    "jobs": [
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        "id": 100479,
        "title": "Social Media Intern",
        "url": "https://www.ycombinator.com/companies/loopfour/jobs/j8cWw7Z-social-media-intern",
        "location": "Remote (US)",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$25 / hourly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
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    "news": [
      {
        "title": "Top 5 AI Workflow Automation Tools for Business Operations in 2026 | The AI Journal",
        "url": "https://aijourn.com/top-5-ai-workflow-automation-tools-for-business-operations-in-2026/",
        "date": "Aug 21, 2026"
      },
      {
        "title": "The startup JustPaid drew inspiration from the sitcom Silicon Valley gag into an AI engineer",
        "url": "https://www.rdworldonline.com/the-startup-justpaid-drew-inspiration-from-the-sitcom-silicon-valley-gag-into-an-ai-engineer/",
        "date": "Apr 28, 2026"
      },
      {
        "title": "Meet the Startup That Used AI and OpenClaw to Automate Its Own Developers",
        "url": "https://www.wsj.com/tech/ai/meet-the-startup-that-used-ai-and-openclaw-to-automate-its-own-developers-9e733351",
        "date": "Mar 31, 2026"
      },
      {
        "title": "JustPaid.ai - Automate your AR/AP, Amplify your Cash Flow",
        "url": "https://www.venturescout.io/p/justpaid",
        "date": "Mar 12, 2026"
      },
      {
        "title": "2026 Tech Predictions: The 17 Shifts that will Actually Matter – Silicon Valleys Journal",
        "url": "https://siliconvalleysjournal.com/2026/02/03/2026-tech-predictions-the-17-shifts-that-will-actually-matter/",
        "date": "Feb 03, 2026"
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    ],
    "launches": [
      {
        "id": 84140,
        "title": "JustPaid.ai - Automate accounts receivable with the most powerful platform",
        "tagline": "Meet JustPaid.ai, the billing platform for complex B2B sales.",
        "body": "[JustPaid.ai](http://JustPaid.ai) is reimagining B2B accounts receivable workflows, stepping away from rigid legacy CPQs, and entering a new era of finance efficiency, connecting CRO and CFO in one place.\n\nWithin seconds, the platform converts fully executed complex sales contracts into dynamic revenue records (customer names, billing parameters, customer notes) - where the journey of each invoice is timely generated, payments are reconciled automatically, and human-like collections workflows guide the cash gently into your bank account.\n\nHere’s a preview: <https://youtu.be/baNem5HVYQQ>\n\nJustPaid.ai excels in managing complexity and effortlessly handling consumption, tiered plans, renewals, price discounts, and custom SLAs.\n\nIntegrations to support your workflows with:\n\n* API or CSV usage data upload \n* eSignature (Dropbox, PandaDoc, DocuSign, Box)\n* CRM (SalesForce, HubSpot, [Close.io](http://Close.io), PipeDrive, Attio)\n* ERP (Intuit, NetSuite, Xero, Sage)\n* Sales Tax (Avalara, TaxJar)\n* Payments Checkout (Bank payments and Credit Card)\n\n**JustPaid.ai is positioned to help any growing enterprise.**\n\n**Ready to step into the future and consolidate the tools you are using for billing? Email** [**sales@justpaid.ai**](mailto:sales@justpaid.ai)\n\n_Story on the founders:_\n\nJustPaid.ai is the brainchild of Anelya Grant, Daniel Kivatinos, and Vinay Pinnaka.\n\nAnelya is a two-time female founder with a profound understanding of accounting and finance. She led a top accounting practice for tech startups in Silicon Valley for 15 years.\n\nDaniel is a two-time founder and the co-founder of DrChrono, the first YC healthcare company and one of the YC’s top healthcare exits.\n\nVinay is an exceptional software talent with expertise in ML and AI and years of experience building complex billing architecture.\n\nAccounts Receivable is a massive multibillion-dollar market, with around 12%—15% projected growth over the next few years. With companies focusing on improving cash flow management, JustPaid.ai helps them step into the future and reduce the time spent on billing per month, payment reconciliation, and collections.\n\n![uploaded image](/media/?type=post&id=84140&key=user_uploads/75267/38fbbf8b-8120-4d9b-8817-bba675f4f414)\n\n",
        "url": "https://www.ycombinator.com/launches/Lt6-justpaid-ai-automate-accounts-receivable-with-the-most-powerful-platform",
        "votes": 51,
        "created_at": "2024-09-19T16:02:05.483Z"
      },
      {
        "id": 69443,
        "title": "JustPaid.io (Loopfour) - Spend confidently with smart financial tools",
        "tagline": "Automatically check bills and bank charges against contractual pricing from vendors to ensure there are no billing errors.",
        "body": "### TL;DR\n\n[JustPaid.io](http://JustPaid.io) is the AI-powered controller you wish you had earlier, so you will never have to worry about overpaying bills again.\n\n### Problem\n\nCompanies' current financial processes are disconnected from what you _agreed_ to pay vs. what you were _actually_ charged, even when your vendor makes a billing error. This is what we’re here to resolve.\n\nOn average, United States businesses lose over $300,000 per year alone from invoice fraud totaling $12B. Don’t be a statistic. \n\nWith expanding teams, a lot of vendor workflows are stuck in Slack and inboxes.  We are automating workflows to successfully manage vendors, including contracts, projected spend, W9/W8BEn collection, payment approval and remittance. \n\n### Solution\n\nSaving thousands of dollars in real-time overview of your usage and billing, [JustPaid.io](http://JustPaid.io) provides a centralized experience to automate and manage vendor relationships, overspending, and more to ensure no matter the stage of your organization, you are always in control.\n\nWe collect data from your contracts all in one dashboard and compare it to both your historical as well as ongoing spend. We work with your existing bill payment solution or you can leverage our multi-approval workflow.\n\n### Backstory\n\nOur backstory is founded on personal experience that is often shared by many in the YC Community:\n\n“_My firm and I were handling all the bookkeeping, accounting and controller functions for over 1,000 startups in the past 10 years. It’s the same issues with the lack of workflow. There is always the same persistent disconnect of management and finance teams. Endless emails between so many stakeholders due to the contract negotiation process with no meaningful control when the bill is due. Additionally, collecting W9/W8BEN forms, and setting up payment accounts.”_ \n\n_- Anelya Grant // Co-CEO_ [_JustPaid.io_](http://JustPaid.io) _(Loopfour)_\n\n_“As a second-time founder, I know it can be a burden to keep a daily eye on spend, yet it is a necessary part of running a successful startup looking into what is owed and what is paid. I wanted to create a tool I wish I had that gave real-time financial insights. Founders and their teams need a copilot providing a usable dashboard to make them certain about cash flow visibility into their company, giving financial insights real-time.”_\n\n_- Daniel Kivatinos // Co-CEO_  [_JustPaid.io_](http://JustPaid.io) _(Loopfour)_\n\n_“I want every founder out there to have accurate financial information at their fingertips so that every employee can feel secure.”_\n\n_- Vinay Pinnaka // Co-Founder and Founding Engineer_  [_JustPaid.io_](http://JustPaid.io) _(Loopfour)_\n\n![](https://lh6.googleusercontent.com/aaAXDhjlpZgFRCKiGdU36ksQkCeDyTb-2lNZJYaYrw3Dcle9U271Z_ic4GI8zI6E-Zz1a8MbEPerpl0I76302PBIhVIZVyyaw-Y2bN7FA3jLrCTkEcu0oeGtFV96yBDco3HngTqTXMuyGGGdzKOKhMs)\n\n### Asks\n\nFrom [_JustPaid.io_](http://JustPaid.io) _(Loopfour)_, YC members and others are able to easily self-onboard, connect bank accounts and provide contracts to jump-start the process of agreed vs. charged bill analysis and manage payments. We’re excited to welcome an early adoption of users to not only alleviate their current headaches but also create an open collaboration of feedback together to better advance our solution to exceed your expectations. We are also providing a 50% discount to all YC Companies.",
        "url": "https://www.ycombinator.com/launches/I43-justpaid-io-loopfour-spend-confidently-with-smart-financial-tools",
        "votes": 178,
        "created_at": "2023-02-20T18:34:57.555Z"
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    "all_locations": "Jacksonville, FL, USA; New York, NY, USA; Remote",
    "long_description": "Modern teams work in the browser. But browsers weren't built for teams 😔. \r\n\r\nThis leads to a bunch of problems like:\r\n- Knowledge/info that is hard to find (links that get lost, documentation that gets, buried, silos, etc)\r\n- Poor collaboration\r\n- Inefficient workflows\r\n\r\nLinkGrep is an AI browser copilot that solves those problems by making your browser team friendly.\r\n\r\nSpecifically we help teams:\r\n1. 🔗 Keep track of links, documents, and more automatically. With LinkGrep you'll never have to manually add or save a link.\r\n2. 🔍 Find information that matters. LinkGrep connects with your existing tools like Notion and Slack and will automatically suggest relevant information to you as your browse (we have semantic search that you can fallback on). Demo: https://youtu.be/jwcPGDRy4oQ\r\n3. 👥 Collaborate better. LinkGrep lets you leave notes and comments directly on web pages — you won't ever have to copy paste a link into Slack ever again. \r\n4. 🤖 Automate team actions like opening up the right links before a meeting. Never disrupt a meeting to send a link again. Demo: https://youtu.be/an3VKpAWft0",
    "one_liner": "AI browser copilot for teams",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1680284283,
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      "Productivity",
      "Collaboration",
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    "batch": "Winter 2023",
    "status": "Active",
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    "regions": [
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      "America / Canada",
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      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/linkgrep.json",
    "year_founded": 2023,
    "city": "Jacksonville",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/linkgrep/",
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      {
        "user_id": 6421,
        "full_name": "Divyagnan Kandala",
        "title": "Founder",
        "founder_bio": "Love working on developer & productivity tools. Previously was a frontend engineer at Stripe, Uber, and Amazon.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/divyagnan",
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      {
        "user_id": 478521,
        "full_name": "TJ Kandala",
        "title": "Founder",
        "founder_bio": "Dev and productivity tool builder. Previously was a software engineer at Sourcegraph where I worked on a bunch of extensions (VS Code, Browser, and the Sourcegraph extensions platform).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tjkandala/",
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      {
        "id": 70677,
        "title": "LinkGrep: AI browser copilot for teams",
        "tagline": "LinkGrep helps teams keep track of things and collaborate directly within the browser. ",
        "body": "**TL;DR:** LinkGrep is a browser extension that automatically keeps track of your links, suggests helpful information from your tools (like Slack & Notion) while you browse, opens links for you before meetings, and offers collaboration tools that are built directly into the browser.\n\nInterested? Reach out to us at [founders@linkgrep.com](mailto:founders@linkgrep.com) or book some time with us using <https://cal.com/linkgrep>\n\n![uploaded image](/media/?type=post&id=70677&key=user_uploads/6421/abb769f8-6421-42d5-bbac-beda81559866)\n\n👋🏽 Hi YC, we are [Divyagnan](https://www.linkedin.com/in/divyagnan/) and [TJ](https://www.linkedin.com/in/tjkandala/) and we are excited to share LinkGrep — an AI browser copilot for teams!\n\n# **What does LinkGrep do?**\n\n### **🔗 Automatically keeps track of all of your teams links**\n\n![uploaded image](/media/?type=post&id=70677&key=user_uploads/6421/29f93fd5-7b6a-4a72-b26f-028ca3a1b595)\n\nLinkGrep automatically keeps track of all of your links and ranks them by viewership across your team. This allows you to easily stay on top of every important document. LinkGrep also provides a command palette that is available on every site to help you navigate the browser more quickly.\n\n### **✨ Suggests information from your knowledge bases while you browse**\n\n<https://youtu.be/jwcPGDRy4oQ>\n\nLinkGrep can automatically connect the dots for you and will display related information from your browser history + team knowledge bases (like Slack & Notion) while you browse. LinkGrep also offers traditional semantic search if you ever want to manually search for things too.\n\n### **🤖 Opens up the right links before your meetings**\n\n<https://youtu.be/an3VKpAWft0>\n\nLinkGrep can figure out what links and tabs you need before your meeting and automatically opens them up for you. Everyone on your team will be on the same page when a meeting starts.\n\n### **👥 Makes collaboration easier through contextual notes on webpages**\n\n![uploaded image](/media/?type=post&id=70677&key=user_uploads/6421/e2ad9827-f5fe-432e-990c-38914347924f)\n\nCollaborate directly from webpages. Leave notes, tag teammates, and more. You will no longer need to context switch to other apps or copy paste links to collaborate.\n\n# **Our Ask:**\n\nWant to use LinkGrep for your team? Know a team that would benefit from LinkGrep? Want to invest?\n\nDrop us a line at [founders@linkgrep.com](mailto:founders@linkgrep.com) or schedule a call with us using <https://cal.com/linkgrep>",
        "url": "https://www.ycombinator.com/launches/INx-linkgrep-ai-browser-copilot-for-teams",
        "votes": 65,
        "created_at": "2023-03-31T17:28:34.684Z"
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    "name": "Frigade",
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    "website": "https://frigade.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Frigade AI is an in-app assistant that intelligently guides and onboards your users through your product. Our agent learns your product's interface, gives contextual guidance that adapts to each user, and takes actions directly on your users' behalf.\r\n\r\nLearn more at Frigade.com",
    "one_liner": "AI-powered product assistance for modern software teams",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1672157010,
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    "batch": "Winter 2023",
    "status": "Active",
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    "regions": [
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/frigade",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/frigade.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/frigade",
    "x_url": "https://twitter.com/FrigadeHQ",
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    "github_url": "https://github.com/FrigadeHQ",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ebf166f7f6e8f6d186e2ea4a16a6cf16becaf7b.png",
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      {
        "user_id": 123251,
        "full_name": "Eric Brownrout",
        "title": "Founder",
        "founder_bio": "Eric is the co-founder and CEO of Frigade. Before founding Frigade, Eric co-founded Perform, a mobile app to help runners reach their goals through a combination of AI and 1:1 human coaching. Prior to that, he worked in product management at Digit where he helped launch an AI-powered mobile banking app and at LinkedIn where he managed an intelligent communications platform for notifications and email.",
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        "user_id": 265839,
        "full_name": "Christian Mathiesen",
        "title": "Founder",
        "founder_bio": "Christian is the co-founder and CTO of Frigade. Before founding Frigade, Christian co-founded Perform, a platform to help runners reach their goals through a combination of AI and 1:1 human coaching. Prior to that, he worked in engineering at LinkedIn where he helped launch LinkedIn's Skills-based hiring products and LinkedIn's Hiring Platform.",
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        "title": "Frigade secures $2.7M in funding for React-based onboarding solution - SiliconANGLE",
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        "date": "Jul 20, 2023"
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      {
        "id": 114338,
        "title": "Frigade Assist API - give your AI agent the ability to generate in-product guides and support",
        "tagline": "Register Frigade as one tool and your agent can generate in-product guides on demand, or answer questions grounded in how your product actually works today.",
        "body": "Hi everyone, Christian and Eric here, co-founders of Frigade (W23).\n\nToday we are launching the Frigade Assist API, which levels up your own AI agent to better onboard and support your users with a single tool call.\\\n<https://www.youtube.com/watch?v=-j7wd0gYS2M>\n\n**PROBLEM**\n\nMore and more teams are building their own agents. When a user gets stuck and needs help, companies tend to go one of two ways.\n\n1. Buy a help agent (Frigade Assistant, Fin, etc.). Now you have two agents and two chatboxes, and your users cannot tell which one to use for what.\n2. Have your own agent handle it. Agents in that case usually answer out of a knowledge base or help center with basic RAG. Docs are stale or incomplete more often than not, and even when the snippet is right it puts the work back on the user, who has to read it and then figure out how to apply it in the app.\n\n**SOLUTION**\n\nWe already solved the docs problem with Frigade. Our browser agent signs in to your product with the same permissions a real user has, works through your real workflows, and maps how your product works. No manual documentation or screenshots to take. It trains again every time you ship, so it always knows the version of your product that's live.\n\nNow, with the Assist API, we can solve the two-agent problem too.\n\nThe Assist API a single tool call. Your agent calls it and gets back an answer grounded in how your product behaves today, or a personalized walkthrough rendered on the page the user is already on. For most AI agent frameworks, you can add it with just these lines of code:\n\n```\nimport { frigade } from '@frigade/ai'\n \nconst frigade_guide_tool = {\n  description: 'Call this tool to answer product ' +\n    'questions or guide the user through a task.',\n  parameters: {\n    query: {\n      type: 'string',\n      description: 'What the user is asking or wants to do',\n    },\n  },\n  run: ({ query }) => frigade.assist({ query }),\n}\n \n```\n\nThe SDK forwards the call to the browser and Frigade acts on the page the user is on, highlighting the real element with the next step attached. Your agent decides when to call it and stays the only thing your user talks to.\n\nWhat you get with it:\n\n1. **Personalized in-product guides**, generated on demand. A new user gets walked through first-time setup without leaving the page. Someone stuck mid-workflow gets shown the next step instead of a link to an article.\n2. **Visibility and control for the people who own support**. Your support and product teams see who Frigade is helping and where, and can steer the output without any engineering help.\n\nWe are already working with Retell AI to extend their agent's onboarding capabilities. They build agents for a living and still chose to plug in Frigade rather than build something like this themselves.\n\nThis is for teams who already own an agent and care about product adoption. And if you do not have an agent, our drop-in Frigade Assistant is still the fastest path.\n\nIf you want to give it a spin, reach out and we'll get you a demo. <https://frigade.com/assist-api>\n\nChristian and Eric",
        "url": "https://www.ycombinator.com/launches/TkA-frigade-assist-api-give-your-ai-agent-the-ability-to-generate-in-product-guides-and-support",
        "votes": 4,
        "created_at": "2026-09-08T22:26:18.625Z"
      },
      {
        "id": 105121,
        "title": "Frigade Skills: the in-app AI agent that learns your product and acts for your users",
        "tagline": "Frigade learns your product by using it, then takes real actions for your users through Skills your team approves with no code.",
        "body": "Hi everyone, Eric and Christian here, co-founders of [Frigade](https://frigade.com) (W23).\n\nFrigade is an AI agent that lives inside your product and [guides users through it](https://frigade.com/blog/product-help-where-users-stuck). Point it at your app and it learns your UI in minutes. You don't wire anything up or write docs.\n\n**Today we're launching a major new upgrade to our agent called [Skills](https://frigade.com/features/skills).**\n\nSo far, Frigade has guided users and [answered their questions](https://frigade.com/blog/how-to-deflect-support-tickets). With Skills, it can take real actions for them too: looking things up, creating, editing, deleting.\n\nSkills are the actions Frigade figures out on its own while it trains on your product. It documents each one, your team approves it with no code from the dashboard, and from then on Frigade runs it for any user who needs it. You can still wire in your own custom tool calls with our SDK, too.\n\n<https://www.youtube.com/watch?v=bi-BFV7M7eY>\n\nIf you've used Linear's AI agent, Frigade is that as an embed: the same kind of in-app agent, dropped into your product with [one snippet](https://frigade.com/blog/walkme-alternatives-without-six-month-rollout). You get about 80% of it out of the box, with no eng work required.\n\n**How it works:**\n\n1. Add the snippet. Frigade starts using your product and learns it, like a new user would.\n2. It turns the actions it finds into Skills. Your team reviews and approves them, no code.\n3. Frigade runs those Skills for your users and answers their questions as they go.\n\n**Here it is running on popular products we don't embed in.**\n\nWe just pointed it at each one and let it learn to see how it performed:\n\n* [Jira](https://demo.frigade.com/?skill=jira)\n* [Spotify](https://demo.frigade.com/?skill=spotify)\n* [Hacker News](https://demo.frigade.com/?skill=hackernews)\n\n**Frigade is best for:**\n\n* Teams drowning in \"how do I...\" tickets\n* CS teams who want [onboarding](https://productonboarding.com/articles/what-is-product-onboarding) to happen without a call\n* Product teams who want every feature to be [self-serve](https://productonboarding.com/examples)\n* Anyone with a complex product or non-technical users who keep getting stuck\n\nMany teams are also building their own agents in-house. If that's you, we're launching the Frigade API soon so you can add our generative assistance capabilities into your agent. More on that soon.\n\nIf your product's complex or your users aren't super technical, we'd love to show you what Frigade does on your actual app. Send us a note, or book a demo at [frigade.com](http://frigade.com).\n\nEric &amp; Christian\n\n![uploaded image](/media/?type=post&id=105121&key=user_uploads/123251/18d6ac08-4814-47bc-b966-4268a0da843a)\n\n",
        "url": "https://www.ycombinator.com/launches/RLV-frigade-skills-the-in-app-ai-agent-that-learns-your-product-and-acts-for-your-users",
        "votes": 9,
        "created_at": "2026-07-09T17:34:23.119Z"
      },
      {
        "id": 95912,
        "title": "Frigade: Product onboarding that builds itself",
        "tagline": "The help center is dead. Your product is the teacher now.",
        "body": "Hey everyone, we are Eric and Christian, founders of [Frigade](https://frigade.com).\n\n**TL;DR:** Frigade automatically learns your product and provides expert, in-product assistance to users. Now with Suggestions, Frigade can proactively teach your users in the context of the product itself.\n\nhttps://youtu.be/FhHSj8YpR2U\n\n# **🔴 The problem**\n\nMany users never see the best parts of a product. Teams try to fix this but run into the same issues:\n\n* Onboarding flows take too long to build\n* Feature tours get stale as the product changes\n* Users ignore help docs :( \n* Customer Success loses hours teaching users on Zoom\n* Product teams rely on outdated screenshots, Looms, and Slack to explain the product\n\nIn-product guidance should be easy to create and maintain, but today it is neither.\n\n# **🟢 The solution**\n\nFrigade automatically learns your product by using it, and Suggestions create guidance directly inside your product from simple prompts.\n\n![uploaded image](/media/?type=post&id=95912&key=user_uploads/123251/af21223e-4d69-40f8-9cc3-c34827827206)\n\nWrite what you want users to learn:\n\n“Show users how to use the new Calendar view in the Sales tab. Walk users through the key features.”\n\nFrigade understands the latest version of your product and generates the experience directly from that context. You do not need a help center, articles, or any existing documentation for Frigade to work. It learns directly from the product itself.\n\nNo user flows. No element targeting. Nothing to wire up.\n\nYou can create:\n\n* Onboarding for new signups\n* Guided tours for new features\n* Help for confusing parts of the UI\n* Workflows for power users\n* Role or plan specific nudges\n* Contextual support at the right moment\n\nEverything runs inside your real product and stays accurate as it evolves, without depending on any external help documentation or content.\n\n# **🧪 Preview, refine, publish**\n\nInstantly preview Suggestions to watch the experience run in your product. Tweak the prompt to adjust the tone or structure. Choose who should see it and publish. Users will see it at the right moment and can launch the experience instantly.\n\n# **🧵 Who is using it today**\n\nTeams across SaaS, AI, fintech, marketplaces, and more use Frigade to:\n\n* Onboard users without a human in the loop\n* Increase feature adoption\n* Reduce support tickets\n* Walk customers through complex workflows\n* Educate users inside the product rather than sending them elsewhere\n\n# **🚀 Try it out**\n\nFrigade Suggestions are live today. Create your first in-product experience from a single prompt [**https://frigade.com**](https://frigade.com)\n\nWe’d love your feedback or questions: [founders@frigade.com](mailto:founders@frigade.com)",
        "url": "https://www.ycombinator.com/launches/Owy-frigade-product-onboarding-that-builds-itself",
        "votes": 28,
        "created_at": "2025-12-02T15:44:08.899Z"
      },
      {
        "id": 92353,
        "title": "Frigade AI: In-app support agent that adapts to your product automatically",
        "tagline": "Frigade AI uses your product to learn how it actually works, then guides users with live, step-by-step support directly inside the UI—right when they need it.",
        "body": "**TL;DR: Frigade AI** is an in-app agent that keeps users moving forward with contextual, real-time guidance. It can generate step-by-step tutorials for complex workflows, highlight relevant features at the right moment, and even take actions directly on users' behalf to eliminate friction. Unlike traditional chatbots that rely on outdated help center documents, Frigade AI learns your product by actually using it and automatically adapts to every product update without any work from your team.\n\n📅 Book a demo → [calendar](https://cal.com/forms/ed0e923f-6f00-4191-a08f-7bebba6636b6)\n\nhttps://www.youtube.com/watch?v=8SjL4OfPs3I\n\n### **The Problem**\n\nMost onboarding tools assume users follow a perfect path. They don’t. Users skip steps, explore features early, and ask questions that don't fit your predefined paths.\n\nSupport teams can’t scale to handle every question. Engineering teams don’t have time to build and maintain hardcoded walkthroughs. And most AI chatbots fall short, offering generic responses based on outdated help center docs. \n\nWhat users actually need is guidance **in real time**, **in context**, and **on demand**. Not just during sign-up, but throughout their entire journey.\n\n### **The Solution**\n\nToday, we’re officially launching [**Frigade AI**](http://frigade.ai), a fully integrated agent that lives inside your product and helps users get personalized support instantly. \n\nUnlike traditional chatbots, Frigade AI learns your product by actually _using_ it. It explores your interface, navigates your workflows, reads your documentation, and builds a working model of how your product functions. Just like a real user would.\n\nThe goal? **Help users succeed from their first session** and keep them unblocked at every step.\n\nIt works alongside everything you’ve already built, like checklists, tours, help centers, and fills in the gaps with real-time support when your users need it most. Frigade AI:\n\n* **Unblocks users instantly** with dynamic step-by-step guides for any workflow\n* **Eliminates friction** by taking product actions directly for users\n* **Answers open-ended questions** with contextual product support\n* **Escalates seamlessly** to Zendesk, Intercom, and other live support tools\n* **Gets running in under an hour** with minimal engineering effort\n* **Stays current automatically** as your product evolves\n\nhttps://www.youtube.com/watch?v=usspoSsWIb4 \n\nThe result is an AI agent that **turns every user into a power user,** removing confusion and guiding users to success.\n\n### **See It in Action**\n\nIf you're building a web app and want to better support users at scale, without scaling your existing support team, we’d love to show you what we’re working on. \n\n🔗 Check out our website at [https://](https://frigade.ai)[frigade.ai](http://frigade.ai)\\[\\\n\\](https://frigade.ai) 📅 Book a demo → [calendar](https://cal.com/forms/ed0e923f-6f00-4191-a08f-7bebba6636b6)\n\n![uploaded image](/media/?type=post&id=92353&key=user_uploads/123251/ef0698cc-01a2-4f96-97e6-f0c2a151ec6e)\n\n",
        "url": "https://www.ycombinator.com/launches/O1Z-frigade-ai-in-app-support-agent-that-adapts-to-your-product-automatically",
        "votes": 17,
        "created_at": "2025-07-22T15:51:42.115Z"
      },
      {
        "id": 85509,
        "title": "Trench: Open Source Analytics Infrastructure 🌊",
        "tagline": "Fast and scalable. No bloat. GDPR compliant. Powered by ClickHouse and Kafka.",
        "body": "Hey everyone! We’re Christian and Eric from Frigade. [Trench](https://trench.dev) is open source analytics infrastructure for tracking events, identifying users, and querying data in real time.\n\nIt’s built on top of ClickHouse and Kafka for speed and scale, and it can be deployed with a single production-ready Docker image. Trench is a major part of Frigade’s infrastructure and powers our own in-product analytics and user targeting for millions of end users.\n\nThe code is MIT-licensed at <https://github.com/frigadehq/trench>. We just launched, and Trench gained over 1,000 GitHub stars ⭐ in less than a week.\n\n![uploaded image](/media/?type=post&id=85509&key=user_uploads/123251/443f6361-9b1a-45d5-921e-e79504ebdcea)\n\n# **Demo:**\n\nCheck out our open source demo to see how to build your own version of a Google Analytics dashboard powered by Trench in less than 15 minutes.\n\n<https://demo.trench.dev/>\n\n![uploaded image](/media/?type=post&id=85509&key=user_uploads/123251/049bc7b3-bd4a-4038-8128-faa2a8e2cc67)\n\n# **🚨 The Problem: Postgres doesn't scale for tracking and querying millions of events at scale**\n\nAs we’ve scaled [Frigade](https://frigade.com) to millions of end users, our Postgres table we used for event tracking was quickly ballooning in cost and becoming a performance bottleneck. Many companies run into the same problem as us (e.g. [Stripe](https://brandur.org/fragments/events), [Heroku](https://brandur.org/fragments/events)). \\\nEngineers start by adding a basic events table to their relational database, which works at first, but breaks down as the user base scales. It's usually the biggest table in the database, the slowest one to query, and the longest one to back up. Postgres (or MySQL for that matter) simply isn't a good solution for tracking and querying events in real time at 1M+ end users scale.\n\n# **The Solution: Fast, scalable, and affordable event tracking**\n\nWe knew we wanted to move to technologies like Kafka and ClickHouse that are purpose-built for ingesting and querying thousands of events per second. When we looked for existing solutions, all the existing OSS projects we found were either bloated with unnecessary features, UIs and spaghetti code, or simply antiquated. So we built Trench.\\\nWith Trench, we've put together a single Docker image that provides a production-ready tracking event table that scales. When we migrated our tracking table from Postgres to Trench, we saw a 42% reduction in cost to serve on our primary Postgres cluster and eliminated all lag spikes from autoscaling under high traffic. We're happy with how Trench has solved event tracking for us, and now we’re excited to share that with other teams.\n\n### **Core Features**\n\n* Compliant with the Segment tracking specifications\n* Can handle thousands of events per second on a single node\n* Query tracking data in real-time with read-after-write guarantees\n* Send data anywhere with throttled and batched webhooks\n* Single production-ready Docker image\n* Easily plugs into cloud-hosted ClickHouse/Kafka solutions\n\n### **Use cases**\n\nWhat can you build with Trench? There are many use cases:\n\n1. **Real-Time Monitoring and Alerting** – Monitor your services and get alerts through tracking custom events like errors, usage spikes, or specific user actions, and send that data anywhere with webhooks.\n2. **Event Replay and Debugging –** Capture all user interactions in real time for event replay services.\n3. **A/B Testing Platform** – Capture events from different users and groups in real time. Segment users by querying in real time and serve the right experiences to the right users.\n4. **Product Analytics for SaaS Applications** – Embed Trench into your existing SaaS product to power user audit logs or tracking scripts on your end-users' websites\n5. **Build a custom RAG AI model** – Easily query event data and give users answers in real time. LLMs are really good at writing SQL.\n\n# **Try it out and give us a star ⭐**\n\nWe hope you’ll find Trench useful if you’re facing or have ever experienced a similar problem with analytics at scale. Here are some links to get started:\n\n* Trench website: <https://trench.dev>\n* Quickstart guide: <https://docs.trench.dev/quickstart>\n* Github repo: <https://github.com/FrigadeHQ/trench>\n* Product demo: <https://demo.trench.dev>",
        "url": "https://www.ycombinator.com/launches/MFB-trench-open-source-analytics-infrastructure",
        "votes": 9,
        "created_at": "2024-11-12T22:22:46.640Z"
      },
      {
        "id": 78903,
        "title": "Frigade – Growth platform for modern software teams",
        "tagline": "Frigade is a low-code tool for building product growth loops",
        "body": "# **tl;dr**\n\n[Frigade](http://frigade.com) is a low-code tool for building product growth loops. It comes with pre-built React UI components, a web app, and flexible APIs. Our customers use Frigade to build product growth experiences similar to those used by companies like [Notion](https://www.productonboarding.com/notion-feature-announcement), [Github](https://www.productonboarding.com/github-embedded-promotions?view=components), and [Mercury](https://www.productonboarding.com/mercury-new-user-onboarding).\n\n![uploaded image](/media/?type=post&id=78903&key=user_uploads/123251/7ac8ec05-e94e-4f88-93c2-561aae34289d)\n\n\\---\n\n# **Founding Story**\n\nOur team first met at LinkedIn where we built internal tooling to help accelerate company growth. Turns out many of the best companies in the valley also had large growth teams dedicated to building the same powerful tooling.\n\nThese platforms made it easier to ship new experiences with functionality like user targeting, air traffic control, state management, admin tooling, and much more.\n\nHowever, many companies lack the resources to develop this kind of tool. With Frigade, we are building the growth platform we wished we had everywhere we’ve worked since LinkedIn, and we’re making it available to all teams.\n\n\\---\n\n# **What kind of experiences can Frigade power?**\n\n* **Onboarding forms** — like Typeform, but native\n* **Product checklists** for user activation\n* **Guided tours** for feature adoption\n* **Announcements** for engagement and adoption\n* **House Ads** to nudge users toward upgrades and adoption\n* **Surveys** for user research and account enrichment\n* **Custom Flows** to power unique in-app experiences\n\n\\---\n\n![uploaded image](/media/?type=post&id=78903&key=user_uploads/123251/cc206e9a-c6cf-4e23-ade4-d1a8b60e924a)\n\n# **How does Frigade work?**\n\nFrigade combines React components, an admin dashboard, and flexible APIs to allow teams to build growth loops, faster.\n\n**React UI Components**\n\nFrigade includes a library of beautiful, pre-built React UI components based on industry best practices. Our components are fully customizable to your brand and product so they feel seamless.\n\n**Web App**\n\nFrigade’s web app helps technical and non-technical users alike with user targeting, performance metrics, user and account progress, and more. Frigade integrations help you connect tools like Mixpanel and Segment with a few clicks.\n\n**Flexible APIs**\n\nThe Frigade API is designed to give teams full control over their experience, unlike rigid no-code tools. Teams can even use our APIs to build fully custom Flows.\n\n\\---\n\n### **Our asks:**\n\n* **Sign up** for free at [frigade.com](http://frigade.com) to get started\n* **Grab a demo** with our team [here](https://cal.com/team/frigade/frigade-demo) to discuss your use cases",
        "url": "https://www.ycombinator.com/launches/KWd-frigade-growth-platform-for-modern-software-teams",
        "votes": 10,
        "created_at": "2024-02-29T17:52:18.262Z"
      },
      {
        "id": 68103,
        "title": "💻 Frigade - The easiest way for developers to build product onboarding.",
        "tagline": "Frigade helps developers build better native onboarding and product education, faster. ",
        "body": "**_TL;DR_** _Frigade helps developers build best-in-class product onboarding and education_ faster. _Check us out at_ [_frigade.com_](http://frigade.com)_!_\n\n![uploaded image](/media/?type=post&id=68103&key=user_uploads/123251/acaad972-6a2d-45b3-817c-00685b328449)\n\nHello everyone! We’re [Christian](https://www.linkedin.com/in/cmathies/) and [Eric](https://www.linkedin.com/in/ericbrownrout/). We’ve been working together since 2015 when we first met as interns at LinkedIn, and we’re excited to be building Frigade. Our goal at Frigade is to make it easy to build great product onboarding so developers can spend more time building their core product experiences.\n\n![uploaded image](/media/?type=post&id=68103&key=user_uploads/123251/c42721d4-9f20-4993-b0ce-cac1c7a69fe2)\n\n### **🔴 Problem: Product Onboarding is Hard**\n\nProduct onboarding is essential to customer activation and retention, but building great onboarding is difficult and time consuming. We know because we experienced this problem firsthand at our previous startup where we spent enormous amounts of time building onboarding and education for our app through trial and error. Time that could’ve been spent developing our core product offering.\n\nㅤ\n\n### **🟢 Solution: Powerful API and Open Source SDK**\n\nFrigade’s API and open source SDK take the hard work out of building and scaling great product onboarding. With Frigade, developers can:\n\n* 🛠️ Quickly build beautiful onboarding within their own app UI\n* 🔄 Ingest onboarding data from our API into their backend\n* ⚡ Make instant changes to copy, assets, and logic via API\n* 🎯 Easily build user targeting (powered by Segment, MixPanel, etc.)\n* 📚 Automatically leverage built-in industry best-practices\n\nAs a result, developers can spend less time building features for product adoption and more time building the product roadmap.\n\n![uploaded image](/media/?type=post&id=68103&key=user_uploads/123251/e768b350-e12d-4e11-976b-042f82f1def3)\n\n![uploaded image](/media/?type=post&id=68103&key=user_uploads/123251/52788266-214c-4314-a0a9-dc7d270afdde)\n\n[_Frigade SDKs_](https://github.com/FrigadeHQ) provides beautiful, extensible boilerplate for critical flows.ㅤ\n\n### **💻 Try it yourself**\n\nCheck out our [GitHub page](https://github.com/FrigadeHQ) and [website](https://frigade.com). We’re here to help! Feel free to contact us at [founders@frigade.com](mailto:founders@frigade.com) with any questions regarding implementation, feature requests, or to chat generally about your product onboarding needs. And if you’re in San Francisco, come say hey!\n\nㅤ\n\n**Thanks!**\n\nEric and Christian",
        "url": "https://www.ycombinator.com/launches/HiR-frigade-the-easiest-way-for-developers-to-build-product-onboarding",
        "votes": 35,
        "created_at": "2022-12-28T22:08:51.477Z"
      }
    ]
  },
  {
    "id": 27869,
    "name": "co.dev",
    "slug": "co-dev",
    "former_names": [
      "Wisp Finance",
      "Finex",
      "Codev"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/69fb9c525432d1e46ceb4d9dc25dc4e77da0f0be.png",
    "website": "https://co.dev/?ref=YC",
    "all_locations": "",
    "long_description": "Skip the complexity, high costs, and limitations of no-code tools—our AI-powered platform lets you create scalable, modern full-stack apps using natural language, all while keeping full ownership of your code.",
    "one_liner": "Turn your ideas into full-stack apps",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1673365680,
    "tags": [
      "Developer Tools",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "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/co-dev",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/co-dev.json",
    "year_founded": 2023,
    "city": null,
    "country": null,
    "linkedin_url": "https://www.linkedin.com/company/codotdev",
    "x_url": "https://x.com/codotdev",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/69fb9c525432d1e46ceb4d9dc25dc4e77da0f0be.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 931418,
        "full_name": "Uladzislau Radkevich",
        "title": "Founder",
        "founder_bio": "Experienced software developer with a background in Computer Security.  \nLed tech side of crypto development at Revolut and scaled their payments infrastructure from 1M to 20M+ users. \nWinner of multiple web3/crypto hackathons, including ethAmsterdam and Polygon Buidl IT 2022.\nHave strong domain expertise in traditional banking and fintech.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/uladzislauradkevich/",
        "x_url": "https://twitter.com/ulad_dev",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b9b4334514b78dd566da629665325d5651ed799.jpg"
      },
      {
        "user_id": 983743,
        "full_name": "Andrew Kim",
        "title": "Founder",
        "founder_bio": "Andrew started his career in business IT consulting with Accenture, consulting for Google, Cisco, and 3M. After, he worked as a software engineer for Levi Strauss and various startups.  Most recently, he ran his own software development outsourcing agency.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/askim89",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e0804179a1d202bc8d09130beb10048fcab32271.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 85946,
        "title": "co.dev: Turn your ideas into full-stack apps",
        "tagline": "Skip the complexity, high costs, and limitations of no-code tools—our AI-powered platform lets you create scalable, modern full-stack apps using natural language, all while keeping full ownership of your code.",
        "body": "[co.dev](https://co.dev) is an AI-powered platform lets you create scalable, modern full-stack apps using natural language, all while keeping full ownership of your code.\n\n<https://www.youtube.com/watch?v=V7NWWoa0kHY>\n\n# **Problem**\n\nBuilding full-stack applications is prohibitively complex, time-consuming, and costly for non-technical users. While current no-code platforms offer a partial solution, they come with serious drawbacks:\n\n* Vendor Lock-In: They use they own stack, so you are tied to their platform.\n* Scaling Challenges: Outgrowing these tools often means starting over.\n* Limited Customization: Advanced features require a steep learning curve or outside help.\n\n# **Solution**\n\n[co.dev](https://co.dev) bridges the gap by combining the simplicity of no-code platforms with the flexibility and scalability of professional development tools. Using natural language, [co.dev](https://co.dev) enables users to build full-stack apps effortlessly through a chat-based interface.\n\nThe platform provides:\n\n* Access to the Codebase: Users can download and own the generated code, eliminating vendor lock.\n* Modern Tech Stack: Apps are built using Next.js and Supabase, providing scalability, speed, and reliability.\n* Built-In Modules: Common features like authentication, database integration (via Prisma), and more, ready to use out of the box.\n* AI Code Management: AI handles coding, bug fixes, database updates, and deployments, while you just provide requirements using natural language.\n* Customization: Advanced users can continue app development outside the platform if desired.\n\nThis solution saves users time, reduces costs, and lowers the technical barriers to building fully functional, scalable applications.\n\n# **Uses Cases**\n\n1. **Startup MVP Development:** Entrepreneurs can quickly create and iterate on minimum viable products for their startup ideas, allowing for rapid testing and validation of concepts.\n2. **Non-Technical App Development:** Anyone can describe their app vision in plain text, and [co.dev](https://co.dev) transforms it into a functional app. Whether you're a small business owner or a creative individual, [co.dev](https://co.dev) makes app creation accessible to all.\n\nSign up [here](https://co.dev).\n\n![uploaded image](/media/?type=post&id=85946&key=user_uploads/983743/b0fcac42-5c3f-41e6-a607-315cf600d821)\n\n",
        "url": "https://www.ycombinator.com/launches/MME-co-dev-turn-your-ideas-into-full-stack-apps",
        "votes": 22,
        "created_at": "2024-11-29T23:15:00.169Z"
      }
    ]
  },
  {
    "id": 27873,
    "name": "Floworks",
    "slug": "floworks",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b971472cf0d2638ad01eeaaf35f5a56a8abd2541.png",
    "website": "https://floworks.ai/",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Floworks (https://floworks.ai) is building a suite of AI employees that helps business to run several business functions such as sales, on autopilot.\r\n\r\nOur flagship product, Alisha is an AI SDR that performs the full outbound SDR job- fully autonomously without any human involvement. \r\n\r\nOur AI SDR Alisha can perform ICP research, find out prospect lists, research about each prospect across 180 web sources, write highly personalized emails to each, follow and engage, and finally coordinate like a human to book sales calls.\r\n\r\nBusinesses using Alisha get 3 key benefits:\r\n1.⁠ ⁠They get 12x output from your existing sales team.\r\n2.⁠ ⁠⁠Are able to scale to 8 figure revenues with just a single AE.\r\n\r\nAlisha is built on our proprietary function calling model ThorV2 (https://floworks.ai/research) that outperforms both Claude 3 and GPT-4 function calling in accuracy by 13% and 43% respectively. At the same time, ThorV2 uses only a fraction of the cost (<40%) and time/latency (<78%) as the other models.\r\n\r\nOur second AI employee, Ashley, is an AI Executive Assistant that keeps you reminded and on top of your on your schedule. Works on your whim- just command Flowy to book a meeting, move a meeting or write a email, and it does without you having to navigate through every apps. You can teach Flowy specific workflows such as ‘inform me immediately if i receive a reply from xyz’, “show my unread emails from last day every morning 7am” and much more\r\n\r\nOur third AI employee, Romona is a helpful AI Revenue Operations Manager that keeps track of every CRM data updation on behalf of your team, works on your instruction to update notes, next steps, MEDDIC after every call, does periodic CRM reporting and much more.",
    "one_liner": "Hire the best AI Sales employees | AI SDR | AI RevOps | AI EA",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1678165264,
    "tags": [
      "Generative AI",
      "Productivity",
      "Sales",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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      "Sales"
    ],
    "regions": [
      "India",
      "South Asia",
      "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/floworks",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/floworks.json",
    "year_founded": 2022,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/floworkssolutions",
    "x_url": "https://twitter.com/Floworks4",
    "fb_url": null,
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    ],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 767160,
        "full_name": "Sarthak Shrivastava",
        "title": "Founder",
        "founder_bio": "An 2X entrepreneur and problem solver with experience in the e-commerce, logistics, and financial services industries of India, Singapore, and Philippines markets. I have built and scaled multiple business verticals in now unicorn startups in India with annual revenues of over US$30M.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sarthak-shrivastava/",
        "x_url": "https://twitter.com/sarthaks92",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4e0b04e496a997be434709a07d603907245c4456.jpg"
      },
      {
        "user_id": 1052632,
        "full_name": "Sudipta Biswas",
        "title": "Founder",
        "founder_bio": "I'm a startup junkie, who loves to build stuffs. I'm passionate about physics and technology, I previously built an AI referee, holds a patent and journal publication.\n\nI am a graduate of Indian Institute of Technology Kharagpur (IIT Kgp). I started my career at Goldman Sachs as a Quantitative Strat. My first startup was Engphile Labs where I utilised AI to solve umpiring errors in live sports. I have also built multiple tax filing products for India’s business at Cleartax.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sudipta-biswas/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/265e006088e2d3eccf183c62a60170c7a01912cd.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "YC-backed Indian Startup Claims its AI Agent is Better than OpenAI’s GPT-4o",
        "url": "https://analyticsindiamag.com/aim-exclusive-yc-backed-indian-startup-claims-its-ai-agent-is-better-than-openais-gpt-4o/",
        "date": "Jul 19, 2024"
      },
      {
        "title": "Floworks is building an AI assistant to change how workers interact with software | TechCrunch",
        "url": "https://techcrunch.com/2023/08/31/floworks-is-building-an-ai-assistant-to-change-how-workers-use-software/",
        "date": "Aug 31, 2023"
      }
    ],
    "launches": [
      {
        "id": 86791,
        "title": "Floworks AI SDR: Alisha v2",
        "tagline": "Alisha v2 automates the entire outbound sales workflow —lead research, sequencing, objection handling, followups. ",
        "body": "**TL;DR**\\\nIn the v2 of [Floworks](https://floworks.ai/) AI SDR,\n\n1. **High Precision Lead Research:** Alisha AI SDR performs hyper-focused research on prospects by connecting with 10+ sales databases and finding intent signals across 20+ sources.\n2. **Run sequencing across email and LinkedIn _simultaneously_**: Reach, engage, sequence your prospects over both email and linkedin.\n3. **Automated objection handling:** Objection/question/query- our AI SDR handles all responses. Every response is grounded in your business data.\n4. **Automate meeting scheduling:** Our AI SDR, being linked with your calendar, can coordinate on your behalf to book meetings fully _autonomously_.\n5. **Two way CRM Sync:** Alisha AI SDR keeps your CRM updated with every outreach sequencing data. It also runs new campaigns automatically based on the deal progression.\n\nTo get started with Alisha AI SDR, book an intro call with us [here](https://calendly.com/alisha-2ome/30min?embed_domain=floworks.ai&embed_type=Inline&hide_landing_page_details=1&hide_gdpr_banner=1&text_color=000000&primary_color=9209f3&back=1&month=2024-11). We are offering 10% additional discount (with annual plans) on the [listed price](https://floworks.ai/pricing) for customers coming through YC listing.\n\n### **High Precision 🎯 Lead Research**\n\nAlisha AI SDR goes beyond traditional spray and paint approach. With a ChatGPT like interface, you can instruct Alisha to find and pinpoint the exact lead persona.\\\\\n\n* “Find me VP of Sales at UK based healthcare SaaS companies that have recently entered a deal with NHS”\n* “Find me VP of Sales of Fintech companies that recently got Federal Reserve licenses” \n\n![uploaded image](/media/?type=post&id=86791&key=user_uploads/1052632/d26f8751-b536-46c7-85d1-1f72a3d9888f)\n\n### **Multi Channel (Email+Linkedin) Sequencing**\n\nThe \"Media Synergy\" principle says that advertising impact is enhanced when consumers encounter messaging across multiple touchpoints, as each channel reinforces and complements the others.\n\nYes! That quite literally is this feature.\n\nIf your prospect does not respond to emails, Alisha reaches out over Linkedin. If your prospect asks for contracts, Alisha switches back to email again- all while maintaining the context of the conversations.\n\n![uploaded image](/media/?type=post&id=86791&key=user_uploads/1052632/9abc5fa8-287e-46e4-a210-b7ccefbf0d62)\n\n_Prospect: Ujjwal, while Aishwarya is communicating through our AI SDR product Alisha_\n\n### **Instant ⚡ Objection Handling with Grounded AI response**\n\nHow many times have we seen leads dying off because we couldn’t reply to them in time. _A recent HBS study says any response after 15 min of receiving a query reduces the chances of conversion by 80%._ Hence, we introduce Instant Objection Handling.\n\n_Here’s how it works:_\n\nWhile setting up the sequence, you provide AI SDR (a.k.a. Alisha) with all and any of your product/sales info. Supported format of files includes **PDF, Websites, CSV, Plain text, Docs.**\n\nNow, lets say your prospect asks a question “How much does your pricing look like?”, “Can you share some case studies relevant to our industry”. Our AI looks into all the documents and provides an answer. In case it does not find the answer, it does not hallucinate, instead alerts the user.\n\n![uploaded image](/media/?type=post&id=86791&key=user_uploads/1052632/020e1df3-1465-414d-8cc0-dd5f1d10be3e)\n\n> We ensure our model doesn't hallucinate and always provides grounded answers by using our proprietary function calling engine, Thor v2. Read More about this on our [Arxiv paper](https://arxiv.org/abs/2410.17950v1)\n\n### **Calendar Coordination without Calendly**\n\nSending over Calendly links and asking your prospect to book is never considered a sales best practice. First of all, it shifts the burden of work to the prospect (they have to click through, check your availability, and book). And naturally many people won't take the effort, so conversion suffers.\\\n\\\nPlus, in many cultures and settings, it's actually considered rude. It's like saying \"have your people call my people\". \\\n\\\nSo here we come. Alisha AI SDR is integrated with your calendar and goes on to suggest vacant slots to the prospects. Based on the response of the prospect, Alisha AI SDR coordinates like a human and books a meeting accordingly.\n\n![uploaded image](/media/?type=post&id=86791&key=user_uploads/1052632/00fe4265-117c-432e-afcc-f53826036dae)\n\n_Prospect: Ujjwal, while Aishwarya is communicating through our AI SDR product Alisha_\\\n\\\n**Further** **Improvements on v1**\n\n### **Even more control in Composing Messages**\n\nWe found out that AI is not really great at composing Sales emails. However, it is great at collating information from multiple sources and plugging them appropriately in a specific format.\n\nSo, we decided to give the control back to the user. Instead of having Alisha AI SDR write up email from scratch, we provide multiple “recipes” (a.k.a. collection of best cold email formats). Alisha can start from a template and then create personalised copies based on the profiles of each lead.\n\nAlisha can now plug in inline images, links seamlessly in the email body.\n\n![uploaded image](/media/?type=post&id=86791&key=user_uploads/1052632/64ccb343-eb07-4751-b5ca-bd135cf6bab3)\n\n**To get started, book an intro call with us **[**here**](https://calendly.com/alisha-2ome/30min?embed_domain=floworks.ai&embed_type=Inline&hide_landing_page_details=1&hide_gdpr_banner=1&text_color=000000&primary_color=9209f3&back=1&month=2024-11)**.**",
        "url": "https://www.ycombinator.com/launches/MZr-floworks-ai-sdr-alisha-v2",
        "votes": 9,
        "created_at": "2025-01-13T20:18:58.956Z"
      },
      {
        "id": 69995,
        "title": "Floworks: Close more deals with CRM on Slack",
        "tagline": "Update CRM, take meeting notes, get reminded of important follow-ups, send customer emails - all from Slack channels.",
        "body": "**TLDR: Floworks helps sales teams close more deals and stay on top of leads by bringing their CRMs over Slack. For example, after an important sales meeting, a rep can post the summary via slack instead of waiting to get back to their desk to log into Salesforce or HubSpot.**\n\n![uploaded image](/media/?type=post&id=69995&key=user_uploads/1052632/6a48f096-7350-48b0-9cbf-87c889ef35c9)\n\n🤔 **The Problem:**\n\n20% of every salesperson's time is spent doing CRM updates, follow-ups, and administrative tasks. **This time could have been spent doing actual sales.**\n\nEven after investing such time and effort in CRM, have you ever wondered\n\n* **how many crucial follow-ups did your team miss last week?**\n* **how many valuable contacts never converted into opportunities?**\n* **how many lucrative deals slipped through the cracks because of neglected logs and updates?**\n\n**👤Who is it for:**\n\nEvery B2B companies starting with 2 person sales team (like founder led sales)  to 100 and beyond.\n\n## [😊](https://emojipedia.org/smiling-face-with-smiling-eyes/)**The Solution:**\n\nSales teams today live and breathe on Slack. Floworks brings your entire CRM on top of Slack.\n\nIt does so by integrating your existing CRMs like Salesforce, HubSpot and Pipedrive with your Slack workspace. \n\n![](https://www.ycombinator.com/media/?type=post&id=69995&key=user_uploads/1052632/1bce61f1-ed81-435d-abb1-93171ca4b0f8)\n\n**Benefits for Sales teams:**\n\nWith Floworks, sales teams can set up customized flows that\n\n1. Notify about critical tasks like customer follow-ups, stuck deals, escalations etc.\n2. Keeps the team and leaders on top of high value deals in slack based dealrooms.\n3. Alerts the team in timely manners for leads going cold.\n4. Enable you to send customer emails, set up meetings, follow-up tasks- all from Slack.\n\nand much more.\n\nAll our slack alerts are bi-directional in nature. What it means is that you don’t just get notified but **are also able to update, or take follow-up actions (such as moving the deal stage, sending customer emails, updating close date etc.) right from Slack.**\n\nAnd because it’s Slack, the whole team can instantly collaborate on the deal simplifying activities like coaching BDRs and AEs, highlighting key issues, collaborating to solve them etc.\n\n**Benefits for Salespersons:**\n\nWith Floworks, sales folks reclaim **45 minutes to 1 hour everyday**, earlier spent in manual CRM updates, by:\n\n1. Quickly adding contacts, accounts and deals.\n2. Searching and updating deal status and information.\n3. Logging meeting notes.\n4. Seeking approval or escalate issues.\n\nand more- all by giving natural language commands directly from Slack.\n\n![](https://www.ycombinator.com/media/?type=post&id=69995&key=user_uploads/1052632/7f183864-f995-40ce-812d-eaad233abd0f)\n\nWith Floworks there are no more Hubspot or Salesforce related delays. No more manager intervention and follow ups for updating CRMs.\n\nOur customers have told us that they they are closing **15-25%** more deals every month with Floworks.\n\n**Fave features of our customers:**\n\n* Getting setup in minutes with pre-built automations off the block:\n  * Get reminded of pending tasks every morning for each deals.\n  * Get reminded of stuck deals in custom slack channels\n* Add contacts and accounts into CRM on the go- directly from Slack.\n\n**Asks:**\n\nStart using Floworks immediately, and in return, we promise improved sales. \n\nSign up at <https://floworks.ai>.\n\nBook a meeting with us [here](https://meetings.hubspot.com/sudipta-biswas).",
        "url": "https://www.ycombinator.com/launches/ICx-floworks-close-more-deals-with-crm-on-slack",
        "votes": 531,
        "created_at": "2023-03-07T05:01:24.665Z"
      }
    ]
  },
  {
    "id": 27881,
    "name": "Inkeep",
    "slug": "inkeep",
    "former_names": [
      "inkeep"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ca1b5818bf14fe551342345b16c3c399f2ecdf21.png",
    "website": "https://inkeep.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Inkeep is the only agent platform designed to help both developers and non-developers ship Agent-powered assistants and automations.\r\n\r\nCompanies like Anthropic, Midjourney, Clay, PostHog, and Postman deploy Inkeep Agents at scale to help with everything from support to sales.\r\n\r\nHighlights:\r\n- A No-Code Builder and Developer Framework with full 2-way sync\r\n- Unified search and RAG for knowledge bases, docs, and company data\r\n- MCPs and integrations with your apps, APIs, and software\r\n- Intelligent insights and monitoring over how Agents perform\r\n\r\nWith Inkeep Agents, enterprises and high-growth teams empower their employees with AI teammates that help get work done and automate repeatable tasks.\r\n\r\nBacked by Khosla Ventures, Y-Combinator, Great Point Ventures and leading CEOs and founders.",
    "one_liner": "Build AI Agent teammates and automations in code or no-code",
    "team_size": 18,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1677660046,
    "tags": [
      "Developer Tools",
      "Workflow Automation",
      "Customer Support",
      "No-code",
      "AI Assistant"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
    ],
    "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/inkeep",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/inkeep.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/inkeep/",
    "x_url": "https://twitter.com/inkeep",
    "fb_url": null,
    "cb_url": "https://crunchbase.com/organization/inkeep",
    "github_url": "https://github.com/inkeep",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ca1b5818bf14fe551342345b16c3c399f2ecdf21.png",
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    ],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1161446,
        "full_name": "Nick Gomez",
        "title": "Founder",
        "founder_bio": "Nick is co-founder and CEO of Inkeep. He previously led devex for a team at Microsoft, focusing on self-serve developer experiences and no-code builders. He studied Business & Computer Science at MIT. Beyond Inkeep, Nick enjoys photography and hiking.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/edwinngomez",
        "x_url": "https://twitter.com/nickgomez",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/909605b4e584bff4ae903ae08a61d992f8a253b6.jpg"
      },
      {
        "user_id": 1161457,
        "full_name": "Robert Tran",
        "title": "Founder",
        "founder_bio": "Robert Tran is a cofounder of inkeep. He studied CS & Math at MIT and has an extensive background in tech, including working with government, political organizations, financial firms, and logistics companies. Previously, Robert was an early employee then Head of Engineering at illumis — building software to aggregate thousands of public data sources that are locked in silos. illumis was acquired by ComplySci. Outside of inkeep, Robert is passionate about film & writing.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/robert-tran-profile",
        "x_url": "https://twitter.com/robert_inkeep",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/be2d117ced48c24de80e03ddc3cfb572bfb86714.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "This Startup Just Raised $13 Million To Make AI Agents Easy For Any Team",
        "url": "https://www.forbes.com/sites/zoyahasan/2025/09/05/this-startup-just-raised-13-million-to-make-ai-agents-easy-for-any-team/",
        "date": "Sep 05, 2025"
      }
    ],
    "launches": [
      {
        "id": 85650,
        "title": "Inkeep - AI support you can trust",
        "tagline": "All the AI tools you need to scale support - without losing the human touch",
        "body": "Hi everyone, we’re Nick and Robert - co-founders of [Inkeep](https://inkeep.com/).\n\n### TL;DR\n\nAs founders, we know that fast, quality support helps great products stand out.\n\nInkeep accelerates every step of support with:\n\n🔍 An AI assistant for end-users\n\n🎧 A copilot for support teams\n\n📚 Tools to fix content gaps\n\nInkeep works with any docs or support platform; see our [showcase](https://inkeep.com/showcase?example=anthropic&tab=aiForCustomers) for examples.\n\n![uploaded image](/media/?type=post&id=85650&key=user_uploads/1161446/2fab07e8-72a9-4e56-9fb9-e14f38f411c6)\n\n### Problem: today’s tools focus too much on automation\n\nUsers of modern products expect two things:\n\n(1) great self-serve experiences\n\n(2) fast human help when they need it\n\nAI support solutions often forget about this and end up feeling like a barrier to getting “real” help. \n\n### Solution - AI that builds trust\n\nOur approach is simple: build practical tools for every step of the support process with the end-user as the #1 priority.\n\n**Assistant for users**\n\nInkeep taps into your docs, help center, and other content to provide direct answers to user questions. Our assistant cites its sources, **admits when it doesn’t know**, and hands off to your support channels.\n\n![uploaded image](/media/?type=post&id=85650&key=user_uploads/1161446/66cc6667-df67-4209-baa3-6ea0e6b38fd3)\n\n**Copilot for support teams**\n\nWhen your support team needs to step in, our CX copilot:\n\n✍️ Drafts detailed answers\n\n🔗 Links to relevant docs and past tickets\n\n⚡ Summarizes long tickets \n\n🔔 Suggests to-dos and next steps\n\n[Demo:](https://youtu.be/4_yEpMkdua4)\n\n**Tools to fix content gaps**\n\nThe #1 way to improve support over time is to improve your content (or product).\\\nInkeep helps close that loop with:\n\n1. [AI reports](https://docs.inkeep.com/analytics/reports) that pinpoint and prioritize gaps in your content.\n2. A [Ticket to FAQ](https://go.inkeep.com/ticket-into-faq) tool to create new content from closed tickets.\n\n![uploaded image](/media/?type=post&id=85650&key=user_uploads/1161446/2a81cc6c-821f-4853-8630-a831a5144135)\n\n### **🙏 Our Ask**\n\n* Want to try an AI assistant powered by your content? Get a [self-serve demo](https://inkeep.com/demo?cta_id=yc_launch).\n* Thinking about adding AI to your entire support workflow? [Schedule a call](https://inkeep.com/demo?cta_id=pricing_enterprise_demo_cta).\n\nSocials: [LinkedIn](https://www.linkedin.com/company/inkeep), [𝕏.](https://x.com/inkeep_ai)",
        "url": "https://www.ycombinator.com/launches/MHS-inkeep-ai-support-you-can-trust",
        "votes": 22,
        "created_at": "2024-11-18T15:46:06.140Z"
      },
      {
        "id": 69837,
        "title": "Inkeep - Conversational search for your developer product 💬🔍",
        "tagline": "Help developers do more with your product, faster.",
        "body": "> tl;dr: [Inkeep](https://www.inkeep.com/?utm_campaign=yc) provides conversational search for developer-focused companies. We use LLMs to understand a company’s docs, GitHub issues, Stack Overflow questions, and more to answer developer questions and increase customer activation.\n\n### **Our Team:**\n\nHi YC, we’re [Robert Tran](https://www.linkedin.com/in/robert-tran-profile/) and [Nick Gomez](https://www.linkedin.com/in/edwinngomez/) from Inkeep!\n\n![uploaded image](/media/?type=post&id=69837&key=user_uploads/1161457/4cbbe838-fb40-4508-89aa-8713f83d7755)\n\nWe met eight years ago at MIT as undergrads. After MIT, Nick was a Senior Product Manager working on developer experiences for Microsoft’s identity products. Robert was Head of Engineering at illlumis (acquired), building large-scale data aggregation pipelines for public datasets.\n\nWith years of experience building developer-focused products, we are excited to build Inkeep.\n\n### **Problem:** Any blocker or unanswered question is a drop-off point\n\nDevelopers evaluate a product by how easy it is to get started and use it for their use case. Optimizing this experience is the #1 goal for many developer-focused companies, but it’s hard to do well because:\n\n* Knowledge about the product is scattered across docs, GitHub issues, Stack Overflow, forums, private communities, and more.\n* Answering technical issues and questions at scale is hard.\n* Developers often prefer to self-troubleshoot.\n\n### **Solution:** Conversational search powered by all your existing content\n\n[Inkeep](https://www.inkeep.com/?utm_campaign=yc) automatically indexes all of a developer tool company’s content with zero effort required. We use fine-tuned LLMs that fully understand your product to power search and chat experiences tailored for developers.\n\nInkeep is embeddable as a:\n\n* Search bar for your docs\n* Chat widget for your app or landing page\n* Slack or Discord bot for your community\n\nYour developers can search or ask anything and get answers immediately. And you’ll be able to get insights on what they're getting stuck on.\n\n![uploaded image](/media/?type=post&id=69837&key=user_uploads/1161457/41100239-1ce3-4e5a-8349-4294e24a237d)\n\n\n### **Our asks:**\n\n* Interested in adding Inkeep to your developer product? We’d love to [show you a demo](https://calendly.com/nickgomez/inkeep-demo-20mins).\n* Connect us with folks who are obsessed with developer experience & activation.\n\nGet in touch at: [founders@inkeep.com](mailto:founders@inkeep.com) \\\nLearn more at: [Inkeep.com](https://www.inkeep.com/?utm_campaign=yc)",
        "url": "https://www.ycombinator.com/launches/IAP-inkeep-conversational-search-for-your-developer-product",
        "votes": 167,
        "created_at": "2023-03-01T20:02:13.615Z"
      }
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  },
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    "id": 27939,
    "name": "FactIQ",
    "slug": "factiq",
    "former_names": [
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      "Defog.ai"
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    "website": "https://factiq.com/",
    "all_locations": "Singapore, Singapore",
    "long_description": "FactIQ gives AI agents access to clean and trustworthy data for investment research.\r\n\r\nWe source, clean and standardize data from company financials, market prices, economic series and satellite imagery. We make it absurdly obvious for any AI agent to accurately query this data. We currently have 100M+ data series covering US and Asia, and are adding new data every day. ",
    "one_liner": "Investment research data for AI agents",
    "team_size": 3,
    "industry": "Fintech",
    "subindustry": "Fintech -> Asset Management",
    "launched_at": 1672890387,
    "tags": [
      "Investing",
      "Data Visualization",
      "AI",
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
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    "regions": [
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      "Southeast Asia",
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      "Partly Remote"
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    "stage": "Early",
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/factiq.json",
    "year_founded": 2023,
    "city": "Singapore",
    "country": "SG",
    "linkedin_url": "https://www.linkedin.com/company/fact-iq",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 218578,
        "full_name": "Rishabh Srivastava",
        "title": "Founder",
        "founder_bio": "ML developer. Previously bootstrapped data APIs co to 100M+ monthly end users. I blog at rish.blog and am fairly active on Twitter (@rishdotblog)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rishsriv",
        "x_url": "https://twitter.com/rishdotblog",
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      },
      {
        "user_id": 1153841,
        "full_name": "Medha Basu",
        "title": "Founder",
        "founder_bio": "Co-Founder of Defog.ai. Former journalist/editor/content marketing person. Grew an enterprise content marketing firm from $0 to 7 figures in yearly revenue. Once interviewed a terrorist. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/medha-basu/",
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    ],
    "jobs": [],
    "news": [
      {
        "title": "How enterprises are using open source LLMs: 16 examples | VentureBeat",
        "url": "https://venturebeat.com/ai/how-enterprises-are-using-open-source-llms-16-examples/",
        "date": "Jan 29, 2024"
      },
      {
        "title": "Tech in Asia - Connecting Asia's startup ecosystem",
        "url": "https://www.techinasia.com/exclusive-combinator-leads-22m-sgbased-ai-analytics-firm",
        "date": "Nov 22, 2023"
      }
    ],
    "launches": [
      {
        "id": 68202,
        "title": "Defog.ai - ChatGPT for data, embedded in your app",
        "tagline": "Embed insights widgets in your apps and let users ask questions in natural language.",
        "body": "Hey there! We’re [Medha](https://www.linkedin.com/in/medha-basu/) and [Rishabh](http://twitter.com/rishdotblog) from [Defog.ai](http://defog.ai/).\n\n### **TL;DR**\n\nDefog embeds in your app and lets your users query data in seconds, using everyday language. It’s like ChatGPT for data - right within your app. [**Sign up**](http://defog.ai/) **to get early access.** Or give it a try at [defog.ai/ask](http://defog.ai/ask).\n\n### **😤 The problem**\n\nInsights features within apps take a long time to build and get right.\n\nThis is because SaaS founders and product managers spend most of their time on improving their core product. Insights features are rarely top-of-mind, even though they increase user stickiness.\n\nMost teams tell themselves that they will eventually get to it. But they rarely do. The result is a hastily-built dashboard that provides limited insights to users.\n\n### 🎉 **Our solution**\n\nWe make it super easy to let your users ask questions in natural language and instantly get data and insights on your app.\n\n![uploaded image](/media/?type=post&id=68202&key=user_uploads/1153841/bd2e56ef-b1f8-4d38-b02a-1c851549def9)\n\nDefog embeds an intuitive Q&A-style interface for analytics in your app, and lets users query data in seconds.\n\nSome examples of how companies can use Defog:\n\n* Fintech companies could provide deep insights based on users’ transaction history.\n* Video meeting tools could extract common complaints across customer calls and make them easy to discover.\n* Social media platforms could replace generic analytics dashboards with more specific metrics.\n\n### **🪄 How it works**\n\n1. Give us the metadata of your database schema (if using SQL), or just unstructured data corpuses (if using APIs or text corpuses)\n2. Add our iframe or Javascript plugin to your app\n3. (optional) set up visual styling for how charts should look on our app\n4. Let your users ask questions of the data, and get insights in seconds\n\nWe’re powered by large language models that can search and visualise both structured data (like SQL databases or data warehouses) and unstructured data (like text in call transcripts).\n\nPS: We don’t compromise on privacy 🔐 Our model only needs access to your database schema to work, and not actual data about your customers.\n\n### **⚡ Our asks**\n\n* [Get early access](http://defog.ai/): Sign up to get early access if you’d like to embed Defog in your app\n* [Take it for a spin](http://defog.ai/csv): Ask Defog questions on your own datasets - or one of our pre-selected ones\n* [Share your feedback](https://defog.ai/contact/): If you have questions or feedback, we’d love to hear from you. Email us at founders\\[at\\]defog.ai or reach out to us on [Twitter](https://twitter.com/defogdata) or [LinkedIn](https://www.linkedin.com/company/defog-ai/).",
        "url": "https://www.ycombinator.com/launches/Hk2-defog-ai-chatgpt-for-data-embedded-in-your-app",
        "votes": 36,
        "created_at": "2023-01-05T06:17:24.307Z"
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    "id": 27941,
    "name": "Sage AI",
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    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Sage is a self-generating, self-maintaining knowledge base for your code with in-built chat, accelerating expertise, and comprehension of any codebase.\r\n\r\nDocumentation is perpetually stale, codebases become increasingly old, large, and complex, and knowledge remains siloed within individuals and teams. As a result, engineers take 8-12 months to become fully operational, enterprise code becomes slow and unmaintainable, and core knowledge is continually lost upon engineer turnover.\r\n\r\nSage is changing this reality. We take your code and automatically generate a symbol-level knowledge base that self-updates to remain forever fresh. We integrate with source control to pull your code and generate a symbolic graph representation of functions, classes, interfaces, types, etc., automatically determining the relevant context for each symbol, and using LLMs to annotate and propagate documentation via traversals of the symbol graph. \r\n\r\nSage revolutionizes the way teams and individuals interact with and understand their code, ensuring that knowledge is always accessible, up-to-date, and interactive.\r\n",
    "one_liner": "Your self-generating, self-maintaining code knowledge base.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1680142814,
    "tags": [
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    "batch": "Winter 2023",
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    "regions": [
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      "America / Canada",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/sage-ai",
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/sage-ai-dev/",
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    "github_url": "https://github.com/sage-ai-dev",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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      {
        "user_id": 1185424,
        "full_name": "Joshua Ying",
        "title": "Founder",
        "founder_bio": "Ex-Google co-founder at sage-ai.dev.\nLet's get in touch: joshua@emblem.software",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/joshua-ying-7a0032138/",
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      {
        "id": 78163,
        "title": "Sage AI - Your self-generating, self-maintaining code knowledge base",
        "tagline": "We provide a platform that creates and updates symbol-level documentation with language-specific, cross-program context that you can talk to",
        "body": "Hi everyone, we’re Akhil and Joshua and we're on a mission to accelerate expertise and comprehension of any codebase by providing a self-generating, self-maintaining code knowledge base.\n\n![uploaded image](/media/?type=post&id=78163&key=user_uploads/1192337/c88f4b22-6168-4ae1-9424-7944ba0ed16d)\n\n### 🧨 The Problem\n\nThe story of every software team is a constant struggle with knowledge friction and maintaining expertise in the code and surrounding systems.\n\nThese are the perennial issues we’re solving:\n\n* **Staleness:** Most documentation is perpetually stale and it slows development to keep it fresh.\n* **Complexity:** Code becomes more difficult to maintain and improve as it increases in age and size. This is the main reason enterprises with extremely large, old, and complex code can’t move fast.\n* **Fragmentation:** Code information is unversioned and unlinked across disparate platforms, so it’s often unclear what your Confluence article is referring to and whether it’s still applicable.\n* **Discoordination:** Information silos impede collaboration and lead to unnecessary repetition of work. Cross-team features and bugs are exponentially harder to implement and resolve.\n* **Underutilization:** Engineers are expected to take 8-12 months to fully onboard and usually experience a “sink-or-swim” strategy for ramping up a new team.\n* **Overdependence:** Core knowledge is continually lost as employees turnover. Raise your hand if you’ve ever needed to touch code that’s written by an engineer who left in 2014. 🙋\n\nWhether you’re a newly hired engineer, just moved teams, or need to touch code you’ve never seen before, it’s the steepest learning curve in software engineering. This is the skeleton-in-the-closet of software: your average engineer spends more than 40% of their 2-year-tenure “onboarding.”\n\n### 🎉 The Solution\n\n[Sage](https://www.ycombinator.com/companies/sage-ai) is changing this reality. We take your code and automatically generate a symbol-level knowledge base that self-updates to remain forever fresh.\n\nFirst, we integrate with source control to pull your code and generate a symbolic graph representation of functions, classes, interfaces, types, etc., automatically determining the relevant context for each symbol.\n\nWe then use LLMs to annotate and propagate documentation via traversals of the symbol graph, saturating knowledge across multiple traversals.\n\n![uploaded image](/media/?type=post&id=78163&key=user_uploads/1192337/14c14041-7efc-425c-9535-913fa9934ccb)\n\nWe're also exposing a configurable, deeply contextualized chat system that can derive higher-level purposes and objectives of program symbols and modules from its own knowledge base.\n\n![uploaded image](/media/?type=post&id=78163&key=user_uploads/1192337/a6b0701b-c4a8-42ad-9405-1d495ee05dad)\n\nIn the future, we'll let your engineers themselves improve the system, and integrate and link current knowledge systems such as Slack and Confluence. As its comprehension of your codebase grows, the quality of every downstream task improves automatic coding, testing, refactoring, bug fixing, vulnerability detection, and so on.\n\n### Our ask\n\n* If you are a software engineer and have struggled with documentation or onboarding in the past, sign up to try the platform at <https://sage-ai.dev>. We would love to get your feedback!\n* If you know any engineers or engineering managers who might be interested in using our platform with their teams, let us know at [founders@sage-ai.dev](mailto:founders@sage-ai.dev)\n* If you are developing AI systems that deal with codebases, let us know if you are interested in consuming docs and symbol graphs as an API.\n* Share any additional feedback in the comments!\n\nSage AI Team (Akhil and Joshua)",
        "url": "https://www.ycombinator.com/launches/KKh-sage-ai-your-self-generating-self-maintaining-code-knowledge-base",
        "votes": 39,
        "created_at": "2024-02-05T17:43:51.471Z"
      },
      {
        "id": 70729,
        "title": "Semantic Finance: Real-time AI-powered financial news data",
        "tagline": "We help firms understand the markets faster and better",
        "body": "TL;DR: Semantic provides financial institutions a real-time news insights API for events that affect the financial markets. We use trade data, articles, social media engagement data, and breakthroughs in language models to filter the 99% of noise faster than the markets can react.\n\n—\n\n---\n\nHey YC, we’re Josh and Akhil, and we’re building Semantic.\n\nJosh (CEO) met Akhil (CTO) in high school and share a similar interest in how underutilized qualitative data is in financial markets.\n\nWe reconnected after a combined 7 years of experience in Software Engineering at companies such as Google, IBM, Squarespace, and Charles Schwab.\n\nWe’ve been studying how news impacts markets from a quantitative standpoint independently for years. Joshua developed an event-based trading algorithm that Ematiq proposed to implement during his time at Google.\n\n### **The Problem**\n\n\\\nAs trading firms spend tens of millions on microwave networks, racing for the fastest market data and order execution, GPT-4 has introduced a new race for relevant financial information retrieval and processing. Existing news feeds are too slow, unactionable, and noisy. They provide no additional information or filtering on the context, urgency, and market impact.\n\n### **The Solution**\n\n\\\nWe provide a novel insights layer on top of aggregated news and social media feeds, leveraging breakthroughs in LLMs’ (large language models) incredible semantic understanding of text to structure and automatically find the news that matters.\n\nWe monitor clustered mentions across multiple sources, engagement metrics over time, and anomalous price/volume changes to determine the market impact of events in real-time.\n\nOur primary offering is the **Semantic API**, which is article and tweet data that has been cleaned, filtered, and structured using LLMs.\n\n![uploaded image](/media/?type=post&id=70729&key=user_uploads/1192337/9ba82b9b-98ae-4ce5-8295-6a7c25e81ce5)\n\nYou can also receive alerts ahead of the market on events that matter with **Semantic Alerts**. Configure which priority levels activate Discord, Telegram, SMS, email, and phone calls.\n\n![uploaded image](/media/?type=post&id=70729&key=user_uploads/1192337/6a2d288e-0eb9-4eda-95cc-34045e4a01a2)\n\n### **Asks**\n\n* Do you know people at any trading platforms or institutions (hedge funds, prop shops, trading firms) that might benefit from low-latency financial news insights and alerting system?\n* Are you a trading platform or financial institution looking for configurable real-time financial news insights to surface to your customers?\n\n[Sign up for early access](https://semanticfinance.com/)!\n\nSemantic Team (Josh, Akhil)",
        "url": "https://www.ycombinator.com/launches/IOn-semantic-finance-real-time-ai-powered-financial-news-data",
        "votes": 30,
        "created_at": "2023-04-03T23:14:29.451Z"
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    "id": 27956,
    "name": "Hippo Scribe",
    "slug": "hippo-scribe",
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      "Icarus Lab",
      "Pineflow Physical Therapy",
      "Icarus AI",
      "Fopher AI",
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      "Hippo Scribe",
      "HippoScribe"
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    "website": "https://gethipposcribe.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Burdensome documentation is the #2 reason causing burnout for physical therapists. More than half of all physical therapists have to write documentation in their free time without pay. up to 2 hours a day. \r\n\r\nOur AI Scribe listens, generate first draft of clinical documentation in minutes, and sync reviewed documentation to EMR in 2 seconds. With us, clinicians can finish documentation 70% faster and become happier. ",
    "one_liner": "AI assisted documentation for PT/OT/SLP",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1715095503,
    "tags": [
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    "year_founded": 2023,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/100888807/",
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        "user_id": 643279,
        "full_name": "Yansen Zhou",
        "title": "Founder",
        "founder_bio": "Software engineer building in healthcare",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yansen-zhou/",
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        "id": 82736,
        "title": "Hippo Scribe - Free AI scribe for PT/OT/SLP",
        "tagline": "We help PT/OT/SLP focus on the patients and save 4 hrs/week by having AI record + generate clinical documentations",
        "body": "**Who We Serve**\n\nMeet Marissa, a pediatric speech-language pathologist (SLP) who helps kids with various disorders. She sees eight children daily, keeping her energy high to keep them engaged. After work, she spends an hour writing down exactly what happened in each session. She's tired, it's hard to remember, and she's getting burnt out.\n\nNow meet John, a physical therapist who sees 8-13 patients a day. He helps adults relieve pain, athletes get back to sports, and the elderly avoid falls. He loves helping people, but after work, he has to recall what happened and spend 1-2 hours writing it all down. He's skipping family dinners and slowly burning out.\n\n**The Problem**\n\nHundreds of thousands of clinicians like Marissa and John are suffering from documentation burnout. They love helping patients, but it's overwhelming to remember everything and constantly write it down.\n\n**The Solution**\n\nOur AI Scribe listens to patient visits and generates compliant clinical documentation in the clinician's preferred format within 20 seconds after the visit. With us, clinicians save hours every week, don't have to type during patient visits, and can give patients 100% of their attention.\n\n**Free Plan**\n\nWe're launching a free plan so more clinicians can see how AI can solve their documentation problems. To get started, simply create an account at [gethipposcribe.com](https://gethipposcribe.com).\n\n**Community**\n\n600+ clinicians are discussing AI Scribe in our [facebook group](https://www.facebook.com/groups/hipposcribe/). Join your peers and see how AI is benefiting them! \n\n**User love:**\n\n![uploaded image](/media/?type=post&id=82736&key=user_uploads/643279/e184090b-3e10-4c14-b426-3aae1048a150)\n\n![uploaded image](/media/?type=post&id=82736&key=user_uploads/643279/ad5dfc08-e0e2-411b-8df2-d5d5d3d1af31)\n\n![uploaded image](/media/?type=post&id=82736&key=user_uploads/643279/5208e1ab-675c-4352-9478-7f350153a539)\n\n",
        "url": "https://www.ycombinator.com/launches/LWS-hippo-scribe-free-ai-scribe-for-pt-ot-slp",
        "votes": 8,
        "created_at": "2024-08-05T17:39:47.858Z"
      },
      {
        "id": 80679,
        "title": "Hippo Scribe - 70% faster documentation for PT/OT/SLP",
        "tagline": "Our AI Scribe listens, generates the first draft of clinical documentation, and syncs the finalized documentation to EMR.",
        "body": "Hello world, I’m Yansen, son of clinicians and I’m building AI solutions to make documentation easier. \n\n**The Problem: Burdensome Documentation**\n\nWe talked to more than 200 physical therapists, and learned that burdensome documentation is one of the top reasons for burnout. Many PTs see patients back to back in a 10 hour shift, and still have to spend 2 unpaid hours at home documenting each visit. \n\n**The Solution: AI Scribe**\n\n![uploaded image](/media/?type=post&id=80679&key=user_uploads/643279/2dafd1d4-5ae1-4cc2-9fe7-c1a37cff3348)\n\nHippo Scribe makes writing documentation painless by recording the patient visit/clinician dictation, generating the first draft, then syncs the documentation into EMR with one click. \n\n**The Result: Happy Clinicians**\n\nwarning: using Hippo Scribe may cause extreme happiness\n\n![uploaded image](/media/?type=post&id=80679&key=user_uploads/643279/0142940d-d534-4b10-bf77-8fb60562db4b)\n\n**Ask:**\n\n* Know a clinician who hates doing notes? Share [Hippo Scribe](https://gethipposcribe.com/)\n* You are a clinician and want to see a demo? [Book here](https://cal.com/yansen/hippo-scribe-demo-15-minutes)",
        "url": "https://www.ycombinator.com/launches/KzH-hippo-scribe-70-faster-documentation-for-pt-ot-slp",
        "votes": 45,
        "created_at": "2024-05-07T17:04:44.930Z"
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    "id": 28089,
    "name": "Maxi",
    "slug": "maxi",
    "former_names": [
      "Leather",
      "Thread"
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    "website": "https://www.usemaxi.app",
    "all_locations": "New York City, NY, USA",
    "long_description": "Maxi is an iMessage-based, AI-native agent for your personal finances. It connects to all your accounts (secure read-only access) and Gmail and proactively texts you to help cancel subscriptions, identify split expenses, and send Venmo requests (on your behalf). It also tracks your net worth, reminds you about bills, and keeps you in line with your budgets.",
    "one_liner": "AI Agent for your personal finances",
    "team_size": 2,
    "industry": "Fintech",
    "subindustry": "Fintech -> Consumer Finance",
    "launched_at": 1674772876,
    "tags": [
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/maxi",
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        "user_id": 817842,
        "full_name": "Akeem Williams",
        "title": "Founder",
        "founder_bio": "Building cool things :) \nEx-Microsoft / Morgan Stanley",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/akeem-williams-aa88b5140/",
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      {
        "id": 69972,
        "title": "Thread - Incident management for large enterprises",
        "tagline": "We take the best practices from Amazon and Microsoft and make them available to all engineering organizations.",
        "body": "Hi everyone! We’re Yuheng, Akeem, and Harsha, the co-founders of Thread.\n\n**tldr: Thread is incident management for large enterprises. We take the best practices from Amazon and Microsoft and make them available to all engineering organizations.**\n\n### **Problem ❌:**\n\nIncidents are the most stressful part of any live production service, and engineers are often ill-prepared for dealing with them… especially in large enterprises. As enterprises move to the cloud and microservice architecture, embrace remote work, and pick up increasingly more tooling for incidents, engineers face growing difficulty identifying and resolving complex system issues.\n\n* APMs, such as Datadog and New Relic, **overwhelm engineers with data and lack contextual information, making problem-solving a challenge.**\n* Customer support help desks, like Zendesk, **often provide inadequate information when creating tickets, leading to a frustrating cycle of questions for engineers.**\n* Alerting and ITSM tools, such as Pagerduty and ServiceNow, **alert engineering teams but often lack the necessary context for efficient issue resolution.**\n\nNot to mention, leadership still lacks visibility into incident details and progression.\n\nIt's like trying to solve a puzzle with missing pieces and no picture on the box.\n\n### **Solution 💡:**\n\nThe gold standard for incident management workflows is straightforward to describe, but it is incredibly difficult to implement in practice, especially at enterprise scale.\n\nThe four pillars are:\n\n**Detection**: identifying the bug using either a monitoring tool or a customer service tool\n\n**Routing**: getting the ticket to the right person that can solve the issue, using paging tools and communication tools\n\n**Resolution**: using context-providing tools like session replays and streamlined data providers to help solve the issue\n\n**Learning**: identifying the root cause of the issue and generating future workflows to more adeptly solve the problem (or prevent it from happening again)\n\nEnter **Thread:**\n\n![uploaded image](/media/?type=post&id=69972&key=user_uploads/1146884/e2dd7ee3-17c8-45d5-a047-eb5305106c76)\n\nThread offers engineers a customized configuration management database with runbooks, past tickets, monitoring data, and recommended actions for diagnosing and resolving incidents.\n\nWe also provide real-time updates and summaries to leadership and stakeholders during critical incidents, identifying bottlenecks in workflows to prevent future issues.\n\nWhy settle for a single tool that might not fit all your needs? Our platform allows teams to bring in their favorite tools to create a tailor-made solution.\n\n![uploaded image](/media/?type=post&id=69972&key=user_uploads/1146884/417624ff-51f1-426f-93ef-8c792f1758f7)\n\n### **Why us?**\n\nWe’re 3 ex-Microsoft/Amazon engineers who built these tools and processes on our respective teams (Microsoft Store and Prime Video). We want to take what we learned and build an even better solution for the millions of engineers out there, so no one has to face the existential dread of on-call panic ever again.\n\n### **Our Ask ❤️:**\n\nIf you or anyone in your network knows a VP/Director of Engineering at a large enterprise, around fortune 500 level, (**bonus points if their org currently uses tools like ServiceNow**) who would be open to using a 3rd party tool to improve their incident management, processes, and/or learnings, **we’d love an intro.**\n\nIf you have enterprise-level experience with **any of the above tools, we want to hear from you!** We're always striving to improve our integrations and bridge any gaps in the incident management process. Share your experiences with us!\n\nReach out to us at [**founders@usethread.io**](mailto:founders@usethread.io)! We’d love to chat!",
        "url": "https://www.ycombinator.com/launches/ICa-thread-incident-management-for-large-enterprises",
        "votes": 730,
        "created_at": "2023-03-06T19:49:50.961Z"
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    "name": "Benchmark",
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    "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,
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Acquired",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "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",
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    "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/",
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        "user_id": 1120059,
        "full_name": "Connor Janson",
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        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/connorjanson",
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      {
        "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"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Upfront is a personal assistant for home projects, powered by AI and partnerships with local businesses. Instead of sifting through reviews and playing phone tag, homeowners text us, and we connect them with a curated set of home service professionals in their neighborhood.",
    "one_liner": "A personal assistant for every homeowner",
    "team_size": 4,
    "industry": "Consumer",
    "subindustry": "Consumer -> Home and Personal",
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        "full_name": "Thomas Stephens",
        "title": "Founder/CEO",
        "founder_bio": "I'm working to make the everyday climate fight more affordable as Co-Founder/CEO of Upfront. We help retailers sell clean energy products by using government & utility rebates to offer dramatically lower prices. Formerly, I was a Launcher & GM at DoorDash, where I helped DoorDash accelerate into the US suburbs and opened the first markets outside of North America (Australia, Japan). M.S. & B.S. Management Science & Engineering from Stanford University.",
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        "full_name": "Andrew Hoskins",
        "title": "Founder",
        "founder_bio": "I'm working to make the everyday climate fight more affordable as Co-Founder/CTO of Upfront. We help retailers sell clean energy products by using government & utility rebates to offer dramatically lower prices. Formerly, I was an engineer at Affirm where I helped build servicing and payments systems scaling to billions of dollars in GMV.",
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        "title": "Upfront ⚡️ - Turning rebates into instantly lower prices",
        "tagline": "We help retailers sell clean energy products by using government & utility rebates to offer dramatically lower prices at checkout",
        "body": "# tl;dr\n\nUpfront helps merchants that sell clean energy products by turning billions of dollars of rebates into dramatically lower prices at checkout. Instead of filling out paperwork and waiting 6 months for a check, our software instantly applies rebates and manages the settlement in the background.\n\n# The Problem\n\nClean energy products have higher upfront costs while competing in markets defined by the importance of affordability (e.g. 60% of appliances are financed). Rebates are designed to offset these higher costs, but because rebates are complicated and not surfaced during buying decisions, consumers today choose products that are worse for both the environment and their wallets.\n\n# The Solution\n\nWe solve this problem by partnering with retailers to enable them to transform government and utility rebates into dramatically lower prices for their customers. This solution saves consumers money, increases retailer sales, and helps deploy rebates faster than ever.\n\nStarting with EV Chargers, we qualify consumers for all applicable rebate programs in real-time and advance their savings at checkout. After purchase, we work with the consumer to process the rebate and manage the settlement with the rebate issuer.\n\n![uploaded image](/media/?type=post&id=69740&key=user_uploads/1202385/15a9b94d-59cc-4ebd-9cd8-2e27ba1df34a)\n\n# The Team\n\n![uploaded image](/media/?type=post&id=69740&key=user_uploads/1202385/124cba11-ebdf-48b4-b7c4-56a3fa67421a)\n\nWe’ve both spent the last half decade helping merchants grow their businesses. Andrew was an engineer at Affirm, building servicing and payment systems scaling to billions of dollars in GMV. Thomas launched and GM’d markets for DoorDash both domestically and abroad. \n\nAs new homeowners we were both struggling to figure out what rebates were available and how they actually worked… and we’d spent weeks researching climate tech! Fellow consumers and retailers agreed, so in January of 2023, we started Upfront.\n\nWe're determined to help make clean energy products the obvious choice for consumers to stamp out the nearly 1 gigaton of CO2E emitted from America’s 124 million homes annually.\n\n# The Ask\n\n* If you sell a product that receives government and/or utility rebates (especially EV chargers)–we’d love to chat! [Book some time with us here.](https://calendly.com/thomas-upfront/upfront-intro-call)\n* Know folks in the EV charger space? Let’s connect! Reach out to [thomas@knowupfront.com](mailto:thomas@knowupfront.com) with any relevant intros.\n\nWe'd love to hear your feedback in the comments below! Also feel free to reach out to us directly at [thomas@knowupfront.com](mailto:thomas@knowupfront.com) or [andrew@knowupfront.com](mailto:andrew@knowupfront.com).",
        "url": "https://www.ycombinator.com/launches/I8q-upfront-turning-rebates-into-instantly-lower-prices",
        "votes": 53,
        "created_at": "2023-02-28T00:56:49.517Z"
      }
    ]
  },
  {
    "id": 28417,
    "name": "Yuma AI",
    "slug": "yuma-ai",
    "former_names": [
      "Yuma"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b5e2299b8aa66bb93182989998fcde535817370.png",
    "website": "https://yuma.ai",
    "all_locations": "Boston, MA, USA",
    "long_description": "## What is Yuma AI?\r\n\r\nYuma is automating customer support by providing an AI Support Agent orchestration platform. Yuma provides autonomous AI agents dedicated to customer service and e-commerce.\r\n\r\nWe integrate directly with help desk software (Zendesk, Kustomer, Gorgias, etc.) and focus on helping large Shopify brands deal with their high volume of support requests.\r\n\r\nTop merchants using Yuma can automate up to 80% of their support tickets fully autonomously.\r\n\r\n## Why do Shopify merchants need Yuma?\r\n\r\nThere are thousands of large Shopify merchants around the world generating $10M+ a year. Most of them have taken over some niches and are great at what they do: selling their products.\r\n\r\nBut they all have one thing in common: they all hate customer support. It's a burden for them and a huge source of cost, as they receive hundreds of requests per day. Some of them have dozens of support agents on staff, usually offshore, and the overall quality is still often pretty poor while staff turnover remains high.\r\n\r\nThose merchants have been promised automation for years but have always been disappointed by the outcome. As customers, we have all had to live through a terrible support automation experience before, so this is no secret, and everyone knows that the current state of the technology is quite bad.\r\n\r\n## Yuma is solving this in a few ways:\r\n\r\nYuma isn't just another RAG chatbot. Our platform provides autonomous AI agents dedicated to support and ecommerce.\r\n\r\nThese agents are powered by knowledge, follow processes, and are managed by our in-house AI orchestration technology. This ensures safety, control, and quality at every step.\r\n\r\nWe believe that to truly automate customer support, we must develop a platform that mimics the actions of a human support agent. That's exactly what we've been doing.\r\n\r\nCurrently, our top merchants are automating 60% of their support tickets through Yuma. Yuma can fetch information from external services and take actions in other apps as needed to resolve each ticket.\r\n\r\nWe are laser-focused on building the best AI support agent platform and aim to achieve 80% true automation in the next few months.\r\n\r\n## Fun Fact\r\n\r\nYuma got started by accident. This is my third YC startup after Socialcam (W12) and Triplebyte (S15). I released Yuma as a prototype for fun in mid-December 2022 and was overwhelmed with demo requests. That's when I knew I was onto something and had to turn this into a real company, once again.",
    "one_liner": "The AI Support Agent for Ecommerce",
    "team_size": 26,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1677585502,
    "tags": [
      "Customer Support",
      "AI",
      "Conversational AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "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/yuma-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/yuma-ai.json",
    "year_founded": 2023,
    "city": "Boston",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/yuma-ai/",
    "x_url": "https://twitter.com/yuma_dot_ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b5e2299b8aa66bb93182989998fcde535817370.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": 37163,
        "full_name": "Guillaume Luccisano",
        "title": "Founder",
        "founder_bio": "Currently Founder @ Yuma (W23) - Previously Co-Founder at Triplebyte (S15) & Socialcam (W12) - Seed Investor in 60+ companies.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/guillaumeluccisano/",
        "x_url": "https://twitter.com/luckwi",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0c11c755fbf5b493b7b1ddd8ea8d3ddaf32a9210.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Yuma Raises $5M to Transform Ecommerce Customer Support with Advanced AI Agents",
        "url": "https://yuma.ai/news-announcements/yuma-ai-raises-5-million-to-transform-e-commerce-customer-support-with-advanced-ai-agents",
        "date": "Oct 31, 2024"
      }
    ],
    "launches": [
      {
        "id": 116594,
        "title": "Yuma Voice: Your AI support agent now answers the phone",
        "tagline": "AI phone support for brands. Resolves requests and takes real actions, with a unified, single Handbook to define the rules for your AI agents across every channel.",
        "body": "👋 We are Yuma, YC W23, and since 2023, We have automated millions of customer conversations for retail &amp; ecommerce brands.\n\nToday we're launching Yuma Voice. The same AI agent that handles your email, chat, and WhatsApp can now answer your phone!\n\nThis one took many, many months of work and iteration from the whole team. I'm very proud to finally put it in your hands :)\n\n**Why we built it**\n\nWe have spent years teaching AI agents how to actually resolve customer requests: understand the problem, follow the brand's policies, look things up, and take the right action.\n\nWe wanted to bring all of that to the phone. But making seamless at the same time.\n\nVoice is a totally different beast. It has to be fast, accurate, and personable. One awkward pause or misunderstanding, and the customer hears it immediately. But the hardest part was making it as capable as the rest of our agents.\n\nA customer calls at 11pm to skip her next delivery. Yuma picks up, finds her subscription, confirms the change, updates it during the call, and tells her when the next delivery will arrive.\n\nThat's the experience we've been working toward.\n\n**What it does**\n\n* **Takes real actions during the call.** Update an address, cancel an order, process a return, or change a subscription while the customer is still on the line.\n* **Uses everything you've already configured.** Same knowledge, same processes, same guardrails as your existing Yuma agents. Nothing to retrain or duplicate.\n* **Speaks 30+ languages.** It can follow the customer even when they switch languages mid-call.\n* **Works on your phone number and your website.** Connect your existing telephony or add a browser call button.\n* **Hands over when it should.** You decide when to transfer to a human or collect an email for follow-up. Recordings and transcripts give your team the context.\n* **Lets you start small.** Run it after hours, on weekends, or on a portion of calls. Listen to the conversations and expand when you're comfortable.\n\nIt plugs into the helpdesk and ecommerce tools you already use, with voice conversations alongside the rest of your support activity.\n\n**Try it yourself**\n\n☎️ [Call Emily, our live demo](https://yuma.ai/voice-demo).\n\nShe handles support for Daybreak Coffee, our fictional demo store. Pick a sample customer on the page, ask to skip a shipment or change a subscription, and see how she handles it.\n\nYou can call directly from your browser. It’s that easy!\n\nPlease try it and give me blunt feedback. That's why we're launching here :)\n\n**Looking for**\n\nAre you running a retail brand with phone support, or thinking about offering it?\n\nWe would love to help you connect Yuma Voice, set up your first processes, and review the results together. Contact Guillaume, the founder below, or [book a demo](https://yuma.ai/voice-ai-agent).\n\nAnd if you know a brand whose team spends too much time handling repetitive calls, send them our way 👀\n\nContact Guillaume, the founder at g-voice-ai-launch@yuma.ai for priority setup.\n\n**What else does Yuma do?**\n\nYuma brings your entire customer service operation into a single platform. Email, chat, social, WhatsApp, and now voice, with AI agents handling both inbound and outbound conversations across every channel.\n\nWhether customers contact you or your agents reach out first, it all runs through Yuma. A single Handbook defines the rules, and a single tool lets you manage the full customer experience.\n\nYuma is AI for CX infrastructure.\n\n![uploaded image](/media/?type=post&id=116594&key=user_uploads/37163/9dbfb2d6-b738-4f4f-9c3b-ebe6a3213fd1)\n\n",
        "url": "https://www.ycombinator.com/launches/UKY-yuma-voice-your-ai-support-agent-now-answers-the-phone",
        "votes": 3,
        "created_at": "2026-09-23T21:00:25.732Z"
      },
      {
        "id": 99564,
        "title": "Ask Yuma: The AI that runs your entire support operation",
        "tagline": "Commerce brands can now build automations, investigate ticket issues, find optimization opportunities, and generate reports by talking to their AI platform in plain English.",
        "body": "👋 We are **Yuma (YC W23)**, the AI agent layer for commerce CX. We started building on OpenAI's Davinci model in late 2022 and have processed millions of customer conversations for 100+ commerce brands since.\n\nToday we are launching **Ask Yuma**. Think Claude Code, but for your entire CX operation. A conversational AI built into every page of the Yuma dashboard.\n\n**Demo video:**\n\n<https://youtu.be/qqc3XGCEHAc?si=8X4Lx4DatRe1fJMX>\n\nAsk Yuma knows your entire support operation: tickets, automations, knowledge base, metrics, integrations, brand voice. You tell it what you want in plain English. It does the work.\n\n**Why we built it**\n\nSince 2023, Yuma has automated millions of customer interactions for commerce brands. Our best merchants automate 93% of their customer conversations. The automation works.\n\nBut configuring it was still painful. Merchants had SOPs in Google Docs they couldn't turn into live automations without our help. They wanted to investigate why a ticket was handled wrong but had to file a request and wait. They knew there were more tickets to automate but finding them meant hours of manual digging.\n\nThe dependency on our team was the bottleneck. So we built Ask Yuma: one conversational interface that puts all of that in the merchant's hands, with our team still there when they need us.\n\n**What it does**\n\n**Build automations from documents:** Upload any SOP or process doc. Ask Yuma reads it, asks clarifying questions, generates a visual flowchart, and produces a complete automation ready to go live. What used to take days takes 1 conversation.\n\n**Find automation opportunities:** Ask Yuma analyzes your escalated tickets, ranks recommendations by impact, and links to real examples so you can verify before acting.\n\n**Diagnose issues:** Ask \"why was this ticket handled wrong?\" Ask Yuma traces the root cause through your configuration and tells you what to change.\n\n**Generate reports:** Ask for a report of every product defect reported this week. Ask Yuma searches thousands of tickets, pulls the images, and generates a PDF you can share with your exec team or manufacturer.\n\n**Monitor performance:** Track automation rate, CSAT trends, unusual spikes, and compare time periods in plain English. No dashboards to build.\n\nIt doesn't stop there. Ask Yuma finds what's broken, proposes a plan, gets your approval, implements the fix, tests it in a sandbox, and verifies it worked.\n\nIn just 1 week of internal release, Ask Yuma has seen 60% adoption among existing merchants.\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/ccaf771b-aa36-4429-930f-2f22e68be888)\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/1ddfc2a1-f617-4280-932b-329fa2945bd5)\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/150191ac-4804-4fc7-987c-e1fe19abba26)\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/0b951c2a-8621-4c37-8ec4-b3ee345c13bc)\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/a3d159ca-0dc6-4ef4-a161-2e77f40b28f2)\n\n**Looking for**\n\nCommerce brands running support automation that want to move faster without the manual work. We will connect Ask Yuma and help you find automation opportunities on day one. Reach out to Guillaume (founder) at [g-social-ai-launch@yuma.ai](mailto:g-social-ai-launch@yuma.ai).\n\n**What else does Yuma do**\n\nYuma is a full AI agent infrastructure for commerce brands. Beyond Ask Yuma, we offer autonomous support agents, a sales AI widget for product pages, social media comment automation, deterministic workflow builder, and deep ticket analytics. All connected, all powered by the same orchestration layer.\n\n**What should we build next?**\n\nWe are working on automated weekly process recommendations, scheduled reports, and MCP integration so you can use Ask Yuma directly inside Claude and other AI tools. Tell us what workflow you wish you could ask your support data about. We build based on what brands need most.\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/a4887f0d-d8f8-4894-95ee-7b0156b779a9)\n\n",
        "url": "https://www.ycombinator.com/launches/Pts-ask-yuma-the-ai-that-runs-your-entire-support-operation",
        "votes": 19,
        "created_at": "2026-04-08T14:39:18.485Z"
      },
      {
        "id": 98153,
        "title": "Social AI: Put E-commerce Social Media on Autopilot",
        "tagline": "Safely automate social media moderation across Facebook, Instagram, and TikTok.",
        "body": "👋 We are Yuma, YC W23. Since 2023, we've automated over 5 million customer interactions for leading e-commerce brands with Support AI and Sales AI. Today we're launching our newest product: **Social AI**\n\nSocial AI puts your brand's social media comments on autopilot. It connects to your Facebook, Instagram, and soon TikTok pages, ingests every comment in real time, classifies each one by intent and sentiment, and acts based on automation rules you define. In early testing, Social AI safely automates up to 60% of repetitive social media moderation.\n\n**Why this matters**: because social comments are one of the last unmanaged channels in e-commerce. They're public, they shape brand perception, and most teams have no system for handling them. And \"safely\" matters here. One careless AI reply on a post can reach thousands of eyes in minutes.\n\n**Why we built it**\n\nWe kept hearing the same thing from customer support and social teams at high-growth brands: social comments are a blind spot.\n\n* \"A negative comment sits on a post for days and nobody can catch it.\"\n* \"Someone asked a product question under our Instagram ad. By the time we saw it, they'd already bought from a competitor.\"\n* \"A frustrated customer tagged us publicly. It snowballed into 40+ replies before anyone on our team even noticed.\"\n* \"A customer leaves a glowing comment and we don't even say thank you.\"\n* \"We have 1 person manually scrolling through hundreds of comments.\"\n\nSupport tickets have tools. Social comments didn't. We've been running Social AI in private beta for the past year. Today, after a major upgrade, we're opening it up to everyone.\n\n**What's different**\n\n* Works across both paid and organic posts. Negative comments on your ads are conversion killers, and Social AI catches them before they cost you.\n* Built-in automation templates for common scenarios (reply, like, hide, flag, or skip), with the ability to create fully custom rules\n* Configurable agent persona: set the tone, verbosity, and brand guidelines so replies sound like your team wrote them\n* Advanced targeting based on the commenter's follower count, so high-profile users get the extra care they deserve\n* Crisis prevention: automatically detect and escalate comments that could spiral into bigger brand issues before they do\n* 24/7 coverage. 50% of comments are posted outside business hours and on weekends. Social AI is always on so your brand is never unprotected.\n* Safety first: every automation rule is scoped by platform, intent, sentiment, and user popularity. You stay in control of what gets automated and what doesn't\n* Real-time dashboard with engagements, automation coverage, sentiment distribution, negative exposure rate, and unanswered rate across all platforms\n\n**The demo video:**\n\n<https://youtu.be/6X6W_k6Cs8c>\n\n**Looking for:**\n\nAre you running an e-commerce brand and leaving social comments unmanaged? We'd love to help you set up Social AI, configure your automations, and track the impact with a 30-day free trial. 👀\n\nContact Guillaume, the founder at [g-social-ai-launch@yuma.ai](mailto:g-social-ai-launch@yuma.ai) for priority setup.\n\n**What else does Yuma do?**\n\nWe also offer AI agents for e-commerce support (Support AI) and a product page Q&A widget to boost conversion (Sales AI). On top of that, our platform includes a visual automation builder (Flows) and a ChatGPT-like interface for surfacing customer voice insights from support tickets (Deep Search). :)\n\n![uploaded image](/media/?type=post&id=98153&key=user_uploads/37163/6d6bf373-8851-4839-9000-95026af84bc2)\n\n![uploaded image](/media/?type=post&id=98153&key=user_uploads/37163/c822a5ad-30d5-47e9-8ffb-562dc987dd3f)\n\n![uploaded image](/media/?type=post&id=98153&key=user_uploads/37163/fbcfd039-9496-497e-871a-2616e80c16e2)\n\n![uploaded image](/media/?type=post&id=98153&key=user_uploads/37163/91b861bf-7efc-46ff-9cc7-3467f7df03ca)\n\n![uploaded image](/media/?type=post&id=98153&key=user_uploads/37163/fcb91c3e-7cbb-4c2e-b0d8-dc890d46316b)\n\n",
        "url": "https://www.ycombinator.com/launches/PX7-social-ai-put-e-commerce-social-media-on-autopilot",
        "votes": 25,
        "created_at": "2026-02-24T20:59:26.072Z"
      },
      {
        "id": 95775,
        "title": "Deep Search: Chat With Your Customer Voice",
        "tagline": "ChatGPT-style interface that turns your support ticket history into instant insights, trends, and answers.",
        "body": "👋 We’re **Yuma (YC W23)**, an AI agent platform **dedicated to e-commerce brands**. Similar to Sierra and Decagon but built for **high-volume retail support**.\n\nToday we are launching **Deep Search**, our latest innovation for unlocking **Customer Voice**.\n\nDeep Search is an **LLM-powered conversational search engine** on top of your support ticket history (your entire support **ticket cloud**). Instead of digging through dashboards or exports, you ask questions in plain language and get **clear, sourced answers** straight from recent customer conversations.\n\n### Why we built it\n\nSince 2023, Yuma has helped brands resolve **millions of support tickets**. CX teams kept asking questions that no tool could answer well:\n\n* _“Which products are generating defects or breakage complaints this week?”_\n* _“What is driving checkout abandonment and what are customers saying about it?”_\n* _“Are refund requests spiking for a specific SKU or variant?”_\n* _“What new issues are trending right now that we did not even know about?”_\n\nDashboards only show the metrics you already track. The real **Customer Voice lives in the support tickets**.\n\n### Why it matters\n\nDeep Search gives you insights **in minutes** that used to take **days of manual work** or were simply not economically viable to produce. Until today, no one had the time or budget to manually read and analyze hundreds or thousands of support tickets.\n\nNow you get that work done **instantly**. Product, CX, ops, and growth leaders can finally:\n\n* Spot **product defects** before they create churn\n* Identify **friction points** that slow or block purchases\n* Surface **refund and return patterns** across SKUs\n* Detect **trending issues early** and intervene fast\n* Ship improvements backed by **real customer data**\n* Turn support into a **compounding ROI engine**\n\nDeep Search makes your support tickets an **always-on source of business intelligence**.\n\n### What it does\n\nDeep Search:\n\n* Scans your entire **support ticket cloud** in seconds\n* Identifies themes like product defects, shipping issues, sizing confusion, checkout friction, or subscription churn\n* Surfaces patterns that teams usually miss until it is too late\n* Returns concise analysis with **real ticket snippets** you can click into\n* Supports **follow-up questions** with full conversational context\n* Generates reports on anything you ask for and **emails them on a schedule**\n* Helps CX, product, ops, and growth teams move from **reactive to proactive**\n\nDeep Search turns your support history (your ticket cloud) into a **live Customer Voice layer** you can explore, monitor, and automate.\n\nDemo video: https://www.youtube.com/watch?v=V7t4UDkFbxM\n\n### Looking for\n\nWe are looking for e-commerce brands that want to use support data for **decision-making**, not just firefighting. We will help you plug in Deep Search, define your key questions, and track the impact.\n\nContact Guillaume (the founder) at [**g-sales-ai-launch@yuma.ai**](mailto:g-sales-ai-launch@yuma.ai) for early access.\n\n### What else does Yuma do\n\nYuma also offers **AI agents for e-commerce support** and **Sales AI** for product-page Q&A. Top brands automate up to **70%** of support with us.\n\n### What should we build next?\n\nWe are adding **dynamic charts**, trend visualizations, and anomaly alerts to Deep Search. If there is something specific you want to analyze or ask from your support tickets, tell us. We are shaping the roadmap based on what brands need most.\n\n![uploaded image](/media/?type=post&id=95775&key=user_uploads/37163/423d30b5-09ea-4f68-ba9f-b4fa15c0791c)\n\n![uploaded image](/media/?type=post&id=95775&key=user_uploads/37163/d934e3fb-2c75-4b73-8a80-927f38563bad)\n\n![uploaded image](/media/?type=post&id=95775&key=user_uploads/37163/bddadaab-df99-4cf8-982e-ad7a8e782fab)\n\n![uploaded image](/media/?type=post&id=95775&key=user_uploads/37163/66f63c0e-3481-4031-a5df-ac52ad420a0b)\n\n![uploaded image](/media/?type=post&id=95775&key=user_uploads/37163/728d3d61-5280-4837-8f01-a41a96fe5c59)\n\n",
        "url": "https://www.ycombinator.com/launches/Oul-deep-search-chat-with-your-customer-voice",
        "votes": 26,
        "created_at": "2025-11-25T17:27:47.699Z"
      },
      {
        "id": 95152,
        "title": "Flows: AI Agent Builder for Precise, Reliable Ecommerce Support",
        "tagline": "Visual Step-by-Step Builder for Ecommerce Support",
        "body": "👋 We’re **Yuma (YC W23)**, an AI support platform for e-commerce, and today we’re launching one of our biggest updates yet: **Flows**, a visual automation builder for ecommerce support.\n\n**Flows** expands Yuma’s AI agents’ capabilities with a visual builder for explicit, deterministic steps. You can now combine process-based AI agents with the reliability of a flow for faster, more precise CX automation.\n\n### **Why we built it**\n\nFor more than 2 years, Yuma has helped merchants automate customer support using our natural-language AI Agents builder, resolving over 5 million tickets to date. But as merchants grow, they need more control, advanced workflows, and precision while staying flexible and easy to maintain.\n\nThat’s why we built **Flows**, a visual, step-by-step builder that adds structure, clarity, and reliability to AI automation.\n\n### **What it does**\n\nFlows let merchants visually define how an SOP (Standard Operating Procedure) runs, step by step and action by action. Each step is visible, enforced, and powered by a mix of good old hard code and LLMs.\n\nFlows combine quick ramp-up and adaptability with _strict step-by-step control_ where it matters.\n\nWith Flows, you can:\n\n* Build if/then logic visually with guaranteed execution\n* Combine AI conversations and deterministic rules\n* Review and debug complex automations in minutes\n* Gather clear insights and metrics on automation paths\n* Use hooks and ordered API & CRM calls for full consistency\n\n### **Why it matters**\n\nFlows make automation more reliable and easier to maintain. It brings three major advantages:\n\n**Step-by-step precision:** Every action runs exactly as designed, with enterprise-grade reliability you can trust.\\\n**Visual clarity:** Instantly see, review, and debug every step of your automations, no guessing or black boxes.\\\n**Hybrid flexibility:** Combine LLM adaptability with structured, reliable workflows for the best of both worlds.\n\nThe result is higher accuracy, fewer escalations, and faster resolutions, all in a visual format you can refine in minutes.\n\n### **The demo video**\n\nhttps://www.youtube.com/watch?v=6J1OMGCM2v0\n\n### **Looking for**\n\nWe’re looking for merchants and DTC brand owners who want to test **Flows** and share honest feedback 👀\n\nWe’ll help you build your first Flow, monitor accuracy, and measure results.\n\nContact Guillaume, the founder, at [g-sales-ai-launch@yuma.ai](mailto:g-sales-ai-launch@yuma.ai) for early access.\n\n### **What's Yuma's full suite of products?**\n\nFlows is part of Yuma’s full suite. Top brands automate up to 70% of support with us. With 3 main products — Support AI, Sales AI, and Social AI — we integrate with helpdesks like Gorgias, Zendesk, Kustomer, Gladly, Front, and Salesforce (I know, even Salesforce!!) to automate support, pre-sales, social interactions, and more.\n\n—\n\n![uploaded image](/media/?type=post&id=95152&key=user_uploads/37163/6ae22e52-741e-4ce1-a0e9-29a0a97e0d0e)\n\n![uploaded image](/media/?type=post&id=95152&key=user_uploads/37163/e54a55a9-7f35-482b-baa9-bdea778b5756)\n\n![uploaded image](/media/?type=post&id=95152&key=user_uploads/37163/c9fda7bd-d74f-467d-ba7d-42b307853b99)\n\n![uploaded image](/media/?type=post&id=95152&key=user_uploads/37163/9a74d334-e177-4566-b67c-34ba665342ff)\n\n![uploaded image](/media/?type=post&id=95152&key=user_uploads/37163/61460ccb-56b7-4392-86de-2781fb526ec3)\n\n",
        "url": "https://www.ycombinator.com/launches/Oki-flows-ai-agent-builder-for-precise-reliable-ecommerce-support",
        "votes": 26,
        "created_at": "2025-11-04T16:15:37.558Z"
      },
      {
        "id": 94117,
        "title": "Sales AI: Shopify product Q&A widget that boosts revenue",
        "tagline": "AI-powered PDP widget that answers shoppers' hesitations instantly",
        "body": "👋 We are Yuma, YC W23. Today, on top of already automating customer service for more than a hundred merchants, we are launching our latest product: **Sales AI**\n\nSales AI is a product Q&A widget dedicated to Shopify. It sits on each PDP (product page), suggests the top questions a shopper is likely to ask, and answers instantly. If they want more, a lightweight chat opens with a fuller answer. From there, they can add to cart inside the chat or get more recommendations.\n\nWhy this matters: because the future is shopping, not chat! Shoppers want info delivered to them before they ask for it! Most drops happen on PDPs because of missing information.\n\nSales AI reduces that friction and in controlled A/B tests lifts conversion by up to 14%! It also records what people asked, which answers helped, and where they still hesitated, so as a brand, you see the \"why\" behind purchases and bounces.\n\n**What’s different:**\n\n* Tailored FAQs per product and per visitor behavior\n* Uses your existing Shopify data + policies + prior support knowledge\n* A/B test friendly; 2-click to install; doesn’t slow the site\n* Full dashboard & insights with Yuma-driven revenue/purchases, impressions, interaction rate\n\nOne of our early partners, **Parachute Home**, credits the product with improving both customer experience and revenue. “Our shoppers love the interactive FAQ widget. They get answers fast, and on desktop, in one A/B test, we saw our Revenue Per Visitor increase +18% and our Average Order Value +4% - Mehdi Ait Oufkir, CEO of Parachute Home.”\n\n**The demo video:**\n\nhttps://www.youtube.com/watch?v=XcRN5GQ89hk\n\n**Looking for:**\n\nDo you own any D2C stores with a bit of traffic and are you willing to try Sales AI and give us blunt feedback? 👀 We'll help set it up, watch the numbers with you, and iterate!\n\nContact Guillaume, the founder at [g-sales-ai-launch@yuma.ai](mailto:g-sales-ai-launch@yuma.ai) in order to get priority setup.\n\n**What's Yuma's other product?**\n\nWe also offer AI agents dedicated to support and e-commerce! Our top brands automate up to 70% of their CX with us. :)\n\n---\n\n—\n\n![uploaded image](/media/?type=post&id=94117&key=user_uploads/37163/94fdd8b0-4e7c-49a1-ab95-e106140292fa)\n\n![uploaded image](/media/?type=post&id=94117&key=user_uploads/37163/629d91f1-ea82-4fc2-80b5-bfbb02fb8e9b)\n\n![uploaded image](/media/?type=post&id=94117&key=user_uploads/37163/90ddadbc-e5bf-4e47-9d63-872b6696607f)\n\n",
        "url": "https://www.ycombinator.com/launches/OU1-sales-ai-shopify-product-q-a-widget-that-boosts-revenue",
        "votes": 35,
        "created_at": "2025-09-25T14:30:35.251Z"
      },
      {
        "id": 84121,
        "title": "Yuma: AI agents for e-commerce customer service",
        "tagline": "The leading AI-powered CX automation platform.",
        "body": "↗️ support quality & consistency. ↗️ customer satisfaction. ↗️ cost-efficiency.\n\n**TL;DR**\n\nMillions of E-commerce merchants share the same pain: costly and inefficient customer support that deteriorates customer loyalty. [Yuma](https://yuma.ai/) is on a mission to automate 100% of your support tickets and change customer support for good. Merchants love Yuma AI for its accuracy and industry-leading automation rate.\n\n## The Yuma Story\n\nI'm G, and I'm delighted to re-introduce Yuma.ai, my 3rd company - after Socialcam (W12) and Triplebyte (S15)!\n\nYuma was launched by accident 🤷‍♂️. After I released a prototype in December ‘22, my inbox was inundated with requests from Shopify merchants, and I decided to retake the startup route.\n\nI did YC once more in W23 with Yuma as an AI co-pilot for customer support agents, but things have changed rapidly since then. We are now a full-grown, fully automated AI Agent orchestration platform.\n\nToday, Yuma has over 100+ paying merchants who choose Yuma.ai for its unmatched accuracy, dedicated customer support, and industry-leading automation capabilities (over 50% of automated - and successful - ticket resolutions).\n\nWe’re building a world where businesses will never worry about customer support again, and we’re turning Yuma.ai into the most advanced Customer Support platform.\n\n![Industry Leading CX Automation rate with AI](/media/?type=post&id=84121&key=user_uploads/37163/03444e47-ceae-435b-83da-8663b1be3da0)\n\n---\n\n—\n\n## Top benefits from real users:\n\n* Achieve up to **50% full automation** of all your support tickets. - [**Learn how Petlibro did it**](https://yuma.ai/case-studies/how-petlibro-achieved-49-automation-and-saves-20-annually-with-yuma-ai)\n* Achieve **4X ROI** on your investment in Yuma AI - [**Learn how MyVariations did it**](https://yuma.ai/case-studies/myvariations)\n* Reduce first-response-time **(FRT) by 87%** - [**Learn how MFI Medical did it**](https://yuma.ai/case-studies/how-mfi-medical-cut-first-response-time-by-over-87-and-automated-45-of-customer-inquiries-with-yuma-ai)\n* Reduce monthly support **cost by 33%** - [**Learn how MyVariations did it**](https://yuma.ai/case-studies/myvariations)\n* Be **available 24/7** and manage demand spikes - [**Learn how Omnie did it**](https://yuma.ai/case-studies/omnie-and-yuma-ai-reshaping-e-commerce-customer-service-together)\n\n—\n\n![Top Merchants having success with Yuma.ai](/media/?type=post&id=84121&key=user_uploads/37163/1f000682-b3e9-4669-8764-bf0060fa8cda)\n\n## Reasons to use Yuma\n\n* Unlimited processed tickets, only charged on a full-automated-resolution basis.\n* Dedicated support regardless of plan, through exclusive Slack channels.\n* Access to the best AI models, even for small plans.\n* Unlimited AI Agents & SOPs\n* Natively Multi-store and Multilingual\n* Omnichannel Support: chat, email, social, etc\n* Top-notch integrations with third-party services\n\n## Our Ask 🙏\n\n**💸 Know any e-commerce businesses, CX managers, or Shopify agencies?**\n\nSend them our way—they will be forever grateful! Plus, we’re offering a referral bonus for every lead that turns into a customer.\n\nJust drop us an email at [hello@yuma.ai](mailto:hello@yuma.ai)\n\n**🛒 Own an e-Commerce store?**\n\nBook a demo and see [Yuma.ai](https://yuma.ai) in action. You will receive a white-glove onboarding experience along with a 30-day free trial. 🙂 \n\n![uploaded image](/media/?type=post&id=84121&key=user_uploads/89898/711c85bf-4427-4554-abe4-8ba5980e6022)\n\n",
        "url": "https://www.ycombinator.com/launches/Lsn-yuma-ai-agents-for-e-commerce-customer-service",
        "votes": 12,
        "created_at": "2024-09-18T17:36:12.306Z"
      },
      {
        "id": 69885,
        "title": "Yuma - ChatGPT for customer support",
        "tagline": "Yuma is using LLMs to automate support for Shopify merchants",
        "body": "**TL;DR:** _Thousands of large Shopify stores all share the same pain: a costly and inefficient customer support. Yuma leverages LLMs and integrates directly with help desks to automate away their high volume of support requests._\n\n## **The Yuma Story**\n\nHi everyone,\n\nI'm G and I'm very pleased to be launching [Yuma](https://yuma.ai), my third company!\n\n**I did YC twice before** already, with Socialcam (W12) and Triplebyte (S15). It seems like I just can't help myself, and I had to do it all over again.\n\nThis time around, however, it's a little bit special as Yuma was launched by accident 🤷‍♂️. I released a prototype in December 2022, and my inbox was inundated with installation requests from Shopify merchants. That's when I knew I was onto something, and I decided to take the plunge. Having experienced that roller coaster ride before, I know exactly what I am signing up for again and I am thrilled about the long and eventful journey that lies ahead.\n\n## **Why do Shopify merchants need Yuma?**\n\nThere are thousands of Shopify merchants around the world generating $10M+ a year, and they all have one thing in common: **they all hate customer support**. It's a burden for them and a huge source of cost as **they receive hundreds of requests per day**. Some of them have dozens of support agents on staff, usually offshore, and the overall quality is still often pretty poor, while staff turnover remains high.\n\nThose merchants have been promised automation for years, but the technology has always fallen short, leaving them disappointed. As customers, we have all had to live through a terrible support automation experience before, so it's no secret that **the available current solutions are pretty bad**.\n\n**This has to change**, and we believe that the technology is finally there to fix this problem once and for all. Of course, our goal is for Yuma to do it :)\n\n## **The main things Yuma can do for merchants today:**\n\n* **One-click install** into **help desks**: **no configuration required**, zero adoption cost, and no change in workflows for the support agents.\n* By **combining LLMs with custom knowledge bases**, Yuma suggests drafts to support agents.\n* By analyzing historical tickets, Yuma can **copy the writing style of any brand**, but also understand and **replicate their current workflows** autonomously.\n* By bringing the power of LLMs to rules and templates, Yuma delivers a new type of dynamic workflow that wasn't possible before.\n\nYuma is already live on Gorgias at the moment, and our Zendesk app will be live in a few weeks.\n\n![uploaded image](/media/?type=post&id=69885&key=user_uploads/37163/858ab524-d3ce-461b-968c-43ba41dea793)\n\n\n## **Our ask 🙏**\n\nDo a good deed today and **save a Shopify merchant in your network by telling them about Yuma**. They will be forever grateful! Not only that, they will receive a white-glove onboarding experience along with a 7-day free trial. :)\n\n— —\n\nThank you for reading!\n\n🔥",
        "url": "https://www.ycombinator.com/launches/IBB-yuma-chatgpt-for-customer-support",
        "votes": 74,
        "created_at": "2023-03-02T21:07:47.495Z"
      }
    ]
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    "long_description": "kapa.ai makes it easy for technical companies to build AI support and onboarding bots for their users. Teams at +150 leading startups and enterprises incl. OpenAI, Mixpanel, Mapbox, Docker, Next.js and Prisma use kapa to level up their developer experience and reduce support.\r\n\r\nWe enable companies to use their existing technical knowledge sources incl. docs, tutorials, chat logs, and GitHub issues to generate AI bots that answers developer questions automatically. More than 750k developers have access to kapa.ai via website widgets, Slack/Discord bots, API integrations, or via Zendesk.",
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    "primary_partner": {
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      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
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        "user_id": 377661,
        "full_name": "Emil Soerensen",
        "title": "Founder",
        "founder_bio": "Emil is the co-founder and CEO of kapa.ai (S23). Previously worked as an Engagement Manager at McKinsey & Company. Holds an MSc in Computer Science from Imperial College London and an MSc in Finance from London School of Economics (both with Finn!). 👋",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sorensenemil",
        "x_url": "https://twitter.com/emilsnotes",
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        "full_name": "Finn Bauer",
        "title": "Founder",
        "founder_bio": "Finn is the co-founder and CTO of kapa.ai (S23). Previously worked as a software engineer at Bloomberg. Holds an MSc in Computer Science from Imperial College London and an MSc in Finance from the London School of Economics (both with Emil!).",
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        "linkedin_url": "https://de.linkedin.com/in/finn-bauer-533bb0130",
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    "jobs": [
      {
        "id": 76640,
        "title": "Software Engineer (Full-stack)",
        "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/JPE2ofG-software-engineer-full-stack",
        "location": "GB / EG / RU / UA / TR / FR / IT / ES / PL / RO / KZ / NL / BE / SE / CZ / GR / PT / HU / AT / CH / BG / DK / FI / NO / SK / LT / EE / DE / Remote (GB; EG; RU; UA; TR; FR; IT; ES; PL; RO; KZ; NL; BE; SE; CZ; GR; PT; HU; AT; CH; BG; DK; FI; NO; SK; LT; EE; DE)",
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        "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/O7WYqau-account-executive-europe",
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        "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/HqFQ5xA-gtm-associate-us",
        "location": "New York, NY, US",
        "type": "Full-time",
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        "id": 93116,
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        "date": "Oct 03, 2024"
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        "title": "kapa.ai: ChatGPT for developer-facing products",
        "tagline": "We help companies improve developer experience and reduce technical support",
        "body": "**TL;DR:** We make it easy for developer-facing companies to **build AI support bots** for their community. Teams at **OpenAI, Airbyte** and **NextJS** use [kapa.ai](http://kapa.ai) to help onboard new users and reduce support.\n\nWe’re Finn and Emil, the co-founders of [kapa.ai](http://kapa.ai). 👋\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n![uploaded image](/media/?type=post&id=72954&key=user_uploads/377661/b1c2d0fe-221f-4319-8689-e8d1bef81e5f)\n\n### **The challenge:** Software has a discovery problem\n\n* **For users:** Have you ever struggled to find what you were looking for on a docs site? We have. And so have the [30 million](https://www.statista.com/statistics/627312/worldwide-developer-population/) other developers in the world.\n* **For maintainers**: Have you ever been pulled out of your work to respond to a customer question that could have been answered by your docs? We have. And so have engineers at the [\\+15,000](https://www.linkedin.com/) developer-facing companies in the world.\n\nThe idea to build [kapa.ai](http://kapa.ai) initially came from a friend that runs a developer-facing company complain about the amount of **“read the f’ing manual” questions** they get and how much of their **engineers’ time** that costs.\n\n### **How we’re solving it:** “ChatGPT” for your docs\n\nWe’ve built a full retrieval augmented generation stack that enables developer-facing companies to **ingest any technical sources into an LLM** and expose it to their community where they have questions.\n\nThe bread and butter of what we’ve been building is a super scalable and **state-of-the-art crawling infrastructure** to ensure high quality data is kept up to date and compatible with LLMs.\n\n![uploaded image](/media/?type=post&id=72954&key=user_uploads/377661/d137227b-004e-493e-bab0-699542312593)\n\nHere are a few examples of how companies are deploying [kapa.ai](http://kapa.ai):\n\n* [**Langchain:**](https://twitter.com/LangChainAI/status/1623752516705067008) **Discord** **bot** in community of 30k devs\n* [**Anyscale**](https://docs.ray.io/en/latest/): **Docs widget** on website of project with +25k stars\n* [**Netlify:**](https://twitter.com/Netlify/status/1651994857391681537) Custom built docs widget on top of **our API** available to their +1 million users\n\nIn addition to reducing support, we’re also helping companies **identify gaps in their documentation and products** by analyzing the answers of their [kapa.ai](http://kapa.ai) bot.\n\n### **Who’s building:** Emil and Finn 👋\n\n![uploaded image](/media/?type=post&id=72954&key=user_uploads/377661/d4aaa0f0-f347-494e-aae7-d4b5e537b114)\n\nWe met +6 years ago in London and ended up doing **two master’s degrees together**: (1) Finance at London School of Economics, and (2) Computer Science at Imperial College London.\n\nWhile building [kapa.ai](http://kapa.ai), Finn (CTO) leans towards doing most of the engineering, bringing his experience from building low-latency trading systems at Bloomberg, although he also did sales at Goldman Sachs and JPMorgan. Emil (CEO) handles most of the business, bringing his experience as an Engagement Manager at McKinsey & Company, but also ships, which he learnt while building applied AI systems at startups.\n\n### **The ask:** Want to reduce developer support?\n\nWe’d love to help your company deploy a [kapa.ai](http://kapa.ai) bot (takes less than 24hrs!). And we’re always looking to connect with folks at developer-facing companies if you’d be up for making an intro.\n\nReach us at [founders@kapa.ai](mailto:founders@kapa.ai) or [sign up for access here](https://www.kapa.ai/early-access) and mention “YC Launch” Thank you so much.",
        "url": "https://www.ycombinator.com/launches/Iyg-kapa-ai-chatgpt-for-developer-facing-products",
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        "created_at": "2023-07-11T19:05:10.691Z"
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    "long_description": "Kino is a web-native video editor where your footage, your team, and your AI agents work together — video editing never had its Figma moment, and it certainly never had its Cursor moment. We proved our platform on Hollywood's biggest shows, and soon it's free for everyone.",
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/kino-ai/jobs/4ur7YIG-founding-engineer",
        "location": "San Francisco, CA, US",
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        "title": "📸 Kino AI - Silicon Valley meets Hollywood",
        "tagline": "Kino automatically organizes footage so filmmakers can edit faster.",
        "body": "Hey! [Wes](https://www.linkedin.com/in/wesleyblock/) and [Luke](https://www.linkedin.com/in/igel/) here! We’re building software for filmmakers at [Kino AI](https://kino.ai).\n\nLuke Igel and I actually started our entrepreneurial journey as amateur documentary filmmakers. We met as freshman at MIT in 2018 and have been friends ever since. In November 2020, we began working together on a [feature-length documentary film](https://regressions.net) about the history of MIT and technology in the United States. It’s called MIT:Regressions.\n\n![uploaded image](/media/?type=post&id=73000&key=user_uploads/1357272/52fb4698-dd83-4a2b-8d92-5c62be30347e)\n\nMaking Regressions inspired us to build tools that help professional storytellers.\n\n### **Cool…but what’s the problem?**\n\nImagine watching this footage and transcribing all of the slated information by hand.\n\n![uploaded image](/media/?type=post&id=73000&key=user_uploads/1357272/43e60a01-2a4a-4ab2-a5be-7db2bbeec90e)\n\nPeople have to do this - and much more - to organize the troths of footage that go into a movie, or a commercial, or a trailer, or a YouTube video, or a…you get the point.\n\nThe process of manually logging this _metadata_ is expensive and time consuming, and mistakes can be catastrophic.\n\n# What does Kino do?\n\nKino automatically infers metadata and uses it to label and organize footage, saving hours every day for assistant editors. We transcribe audio and “describe” the video and turn an unstructured mountain of footage into a useful index. And it all happens locally on the editor’s machine.\n\n![uploaded image](/media/?type=post&id=73000&key=user_uploads/1357272/f705576a-30de-41fe-ae3a-f74397903714)\n\nOur first feature lets users use natural language to find specific moments within their entire footage library. Check out this [demo video](https://www.youtube.com/watch?v=lwon6fWvmco)!\n\n### Want to use Kino at your company?\n\nWe’re running pilots with production companies, creative agencies, and corporate video teams. Please contact sales: [sales@trykino.com](mailto:sales@trykino.com)\n\nConnect with us!\n\n* Sign up for our mailing list! ([https://kino.ai)](http://trykino.com)\n* Follow us on Twitter! ([twitter.com/trykino](http://twitter.com/trykino))\n* Follow us on Instagram! ([instagram.com/try.kino](http://instagram.com/try.kino))\n* Or reach out directly. We appreciate introductions to media professionals, and always welcome words of encouragement. Drop us a note at [hello@trykino.com](mailto:hello@trykino.com)\n\n![uploaded image](/media/?type=post&id=73000&key=user_uploads/1357272/0cafe0de-299d-4421-aa52-7809250926e0)\n\n\\-Wes and Luke",
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        "full_name": "Adrian Johnston",
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        "title": "Elyos AI 💥 AI Customer Service Reps, built for trades and field services 🛠️",
        "tagline": "Elyos AI is the first fully autonomous AI Customer Service Reps for trades and field services.",
        "body": "**Hey, we are Elyos AI. 👋**\n\n[**https://elyos.ai/**](https://elyos.ai/)\n\nWe’re building the first, fully autonomous AI Customer Service Reps, built specifically for trades and field services.\n\nWe are already working with leading trades and field services businesses across the world, taking thousands of calls daily with our fully autonomous AI Agents.\n\n**The Problem**\n\nOur founders have been working in the field services space for nearly a decade.  These last few years building Elyos AI have solidified the realisation: **the field services industry is still operating on archaic tech.**\n\nIn field services like installations, gas, plumbing and electrical, the business should be judged on how well they deliver the actual service, not how quickly they can answer the phone.\n\nUnfortunately, these businesses are running inflated offices to make up for the poor systems they have to deal with: \n\n* Booking is harder than it has to be\n* Leads are left on ‘seen’ and quotes go cold\n* Jobs are scheduled in the wrong place, and \n* Engineers are dispatched for simple to solve over the phone problems\n\nElyos AI is solving this.\n\n**The Solution**\n\nElyos AI is a fully autonomous AI Agent, built specifically for trades and field services businesses. \n\nThe AI Agents we offer:\n\n1. Cover your phone 24/7\n2. Schedule jobs, optimised for engineer location, skillset and customer preference\n3. Manage payments\n4. Book leads in seconds and chase quotes to keep your pipeline warm\n5. Run your on-call process, dispatching engineers and informing the team over phone and WhatsApp\n6. Confirm appointments so you never send an engineer to an empty job\n\n![uploaded image](/media/?type=post&id=93408&key=user_uploads/1307901/67335b11-c4cf-4bef-990f-b551666d54ea)\n\n**About Us**\n\nOur Founding Team has worked in Field Services for the best part of a decade.  \n\nPip and Panos used to work at OVO and Bulb Energy, two of the largest field services businesses in the UK. Pip was running operations of &gt;1000 engineers and Panos was building the operating system for those engineers.  Adrian, a second-time founder, has spent years optimising call centres with BCG.\n\n![uploaded image](/media/?type=post&id=93408&key=user_uploads/1307901/8834ef97-6502-45fe-9bb6-1c9be4409349)\n\n**The Ask**\n\nIf you know field service business owners in HVAC, plumbing, electrical, or similar trades, please intro us (use: [pip@elyos.ai](mailto:pip@elyos.ai))\n\n[**https://elyos.ai/**](https://elyos.ai/)",
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        "title": "Data governance platform Deasie raises $2.9 million in seed funding - Business Leader News",
        "url": "https://www.businessleader.co.uk/deasie-raises-2-9-million-seed-funding/",
        "date": "Oct 13, 2023"
      },
      {
        "title": "Lakera and Deasie raise funding to make AI large language models more reliable - SiliconANGLE",
        "url": "https://siliconangle.com/2023/10/12/lakera-deasie-raise-funding-make-large-language-models-reliable/",
        "date": "Oct 12, 2023"
      },
      {
        "title": "Deasie raises $2.9M for data governance platform expansion - Tech.eu",
        "url": "https://tech.eu/2023/10/12/deasie-raises-29-million-for-data-governance-platform-expansion/",
        "date": "Oct 12, 2023"
      },
      {
        "title": "Deasie raises $2.9M for data governance platform expansion - Tech.eu",
        "url": "https://tech.eu/2023/10/12/deasie-raises-29-million-for-data-governance-platform-expansion/",
        "date": "Oct 12, 2023"
      },
      {
        "title": "Deasie wants to rank and filter data to make generative AI more reliable | TechCrunch",
        "url": "https://techcrunch.com/2023/10/12/deasie-wants-to-rank-and-filter-data-to-make-generative-ai-more-reliable/",
        "date": "Oct 12, 2023"
      }
    ],
    "launches": [
      {
        "id": 73808,
        "title": "Deasie - Data governance for language model applications",
        "tagline": "Is your enterprise data ready for language models?",
        "body": "**tl;dr: Deasie ensures that only relevant, high-quality, and safe data is fed into language models.**\n\nHi! We’re Reece, Leo, and Mikko and we’re excited to launch [Deasie](https://www.deasie.com).\n\n⚠️ **Problem**\n\nFor the first time, companies are turning towards their masses of unstructured data (e.g., documents, reports, emails) for a range of Generative AI use cases. Today, most companies are unable to answer the critical questions needed to ensure language models are trained and deployed reliably: Does this data contain sensitive information? Is this the most relevant data for this problem? Are there inconsistencies in the data that could skew my results?\n\n💡 **Solution**\n\nDeasie is a platform that provides automated checks for compliance (e.g., PII & proprietary data) and quality (e.g., irrelevant, untimely, or inconsistent information) of unstructured data, to reliably govern which data is used for which language model use case.\n\n👨‍👦‍👦 **The Team**\n\nFounders Leo, Mikko & Reece previously built McKinsey's award-winning product that used AI to enhance data quality in the enterprise, built ML applications across QuantumBlack, MIT, Amazon, and Mercedes, and have now set out to unlock the power of unstructured data for the upcoming wave on language model applications.\n\n![uploaded image](/media/?type=post&id=73808&key=user_uploads/1237667/ede65ff1-1431-4c6f-88aa-dd343d325f4d)\n\n👋 **Ask**\n\n**Lots of companies must be delving into the world of LLMs. If you’ve encountered challenges identifying and using high-quality input data (e.g., data that is relevant, timely, accurate, and consistent), then we’d love to hear from you! Please reach out to us at** [**leonard@deasie.com**](mailto:leonard@deasie.com)",
        "url": "https://www.ycombinator.com/launches/JCS-deasie-data-governance-for-language-model-applications",
        "votes": 16,
        "created_at": "2023-08-04T06:57:33.350Z"
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    "id": 28863,
    "name": "Serra",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/de1a90717852abf9734482354e7229c962c19089.png",
    "website": "https://www.serra.io/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Serra is an AI recruiter that fully automates candidate sourcing and outreach, finding ideal talent from LinkedIn, GitHub, Crunchbase, and your ATS. Companies hiring Serra skip sourcing entirely and simply get qualified interviews on their calendar.",
    "one_liner": "Your 24/7 AI Recruiter",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1689272119,
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      "HR Tech",
      "Enterprise Software",
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    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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      "Recruiting and Talent"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/serra",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/serra.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/serraio/",
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    "github_url": "https://github.com/Serra-Technologies",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/de1a90717852abf9734482354e7229c962c19089.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1241137,
        "full_name": "Alan Wang",
        "title": "Founder",
        "founder_bio": "Co-founder/CEO @ Serra. Former Data Engineer at Disney+. UCLA Stats + Data Science.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/alanhlwang",
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    "launches": [
      {
        "id": 94993,
        "title": "Serra — The AI Recruiter That Hires Through Your Network",
        "tagline": "Find the best talent in your team's network and outside of it. ",
        "body": "Hey YC community! 👋 We’re the cofounders of [Serra](https://serra.io/) — an AI recruiting agent that automates sourcing, outreach, and warm introductions through your team’s network.\n\nCompanies like Waymo, Verkada and Replit use Serra to skip manual sourcing and get qualified interviews straight on their calendar.\n\nTell your agents who you’re looking for, and Serra will use your team’s combined network, LinkedIn, Github, and Crunchbase to find the right people and who can intro you to them.\n\n![uploaded image](/media/?type=post&id=94993&key=user_uploads/1241137/3894ace7-4e45-4e49-b12e-ed243d06f2ef)\n\n\n![uploaded image](/media/?type=post&id=94993&key=user_uploads/1241137/9a73d72e-2304-4235-bafa-faa179b7b35e)\n\n\n### **Why we built it**\n\nRecruiters and founders spend most of their week manually searching LinkedIn, sending cold messages, and juggling tools.\n\nEvery company already knows thousands of great candidates through its employees—but that data just sits unused.\n\nSerra combines **outbound search** + **your team’s connections** to find warm paths to the best talent.\n\nIt drafts personalized outreach, tracks replies, and books interviews automatically.\n\n---\n\n### **What’s happened so far**\n\n* Serra has made hires for \\~100 companies like Replit, Verkada, and EquipmentShare\n* 5–10× higher reply rates on warm intros vs. cold outreach\n* Average recruiter saves 15 hours per role\n\n### **What’s next**\n\nWe’re expanding our **AI Referral Network** so that every recruiter and employee in a company contributes to a shared warm graph.\n\nThat means smarter recommendations, faster hires, and a compounding network effect with every new user.\n\nIf you’re a founder or recruiter who’s tired of cold sourcing, give Serra a try: https://serra.io/contact",
        "url": "https://www.ycombinator.com/launches/Oi9-serra-the-ai-recruiter-that-hires-through-your-network",
        "votes": 15,
        "created_at": "2025-10-29T03:19:26.500Z"
      },
      {
        "id": 89379,
        "title": "Serra 🧑‍🏫 Your 24/7 AI Recruiter",
        "tagline": "Serra is your AI-powered recruiting assistant that sources and engages ideal candidates nonstop, letting your team focus on hiring—not searching.",
        "body": "Hey YC community 👋\n\n[Alan](https://www.linkedin.com/in/alanhlwang/) and [Albert](https://www.linkedin.com/in/albertjstanley/) here! We're excited to introduce Serra—the fully autonomous AI Recruiter that transforms how startups find and engage talent.\n\n**🚀 TL;DR**\\\nSerra autonomously handles your candidate sourcing 24/7. It identifies, evaluates, and engages top-tier talent so your recruiting team can focus on meaningful human interactions.\n\n📺 **See Serra in action:** <https://youtu.be/G2vqwf80LJY>\n\n**❌ The Problem**\\\nTalent sourcing today is still manual, inefficient, and repetitive. Recruiters spend countless hours creating Boolean search strings, sifting through profiles, and handling outreach manually—taking precious time away from meaningful interactions. This slows down hiring, increases costs, and risks missing top candidates.\n\n**🤖 Our Solution**\\\nSerra is your AI-powered sourcing partner, working around the clock to:\n\n* **Find ideal candidates** across LinkedIn, GitHub, and your ATS.\n* **Automatically review and shortlist** candidates by precisely matching your criteria.\n* **Engage proactively** via personalized, automated outreach sequences directly through LinkedIn and email.\n* **Continuously source** new talent, keeping your pipeline fresh without manual effort.\n\nSerra ensures your recruiting team spends their valuable time engaging and hiring the best candidates—not searching databases.\n\n**🛠️ How It Works**\\\nSimply talk or type your hiring criteria into Serra:\n\n> \"Hi Serra, find me a technical Head of Product at Series B-D startups, preferably with co-founding experience and recent promotions.\"\n\nSerra clarifies any additional details, conducts exhaustive searches, vets profiles automatically, and starts personalized candidate outreach—all autonomously.\n\n**📖 Our Story**\\\nWe built Serra after talking to dozens of YC founders experiencing firsthand the pain of inefficient sourcing in high-growth startups. The goal became very simple: help companies build better teams, faster.\n\n**🎯 Our Ask**\n\n* **Are you hiring or scaling your team?** We’d love you to try Serra firsthand. Visit [serra.io](http://serra.io/) and mention YC for priority onboarding.\n* **Know someone who could benefit from automated sourcing?** Introductions are greatly appreciated!\n\n👉 **Reach out directly:** [founders@serra.io](mailto:founders@serra.io)\n\nLet Serra handle the heavy lifting so your team can focus on what matters most—your people. Excited to hear your thoughts!\n\nCheers, \\\nThe Serra Team",
        "url": "https://www.ycombinator.com/launches/NFb-serra-your-24-7-ai-recruiter",
        "votes": 10,
        "created_at": "2025-04-10T16:44:46.577Z"
      },
      {
        "id": 83930,
        "title": "Serra — Find the best talent using AI",
        "tagline": "AI search engine to find the best talent to hire",
        "body": "**✅ Value-Prop:**\n\nCutting down time to hire + increasing quality of candidates top-of-funnel. Try us out at cloud.serra.io.\n\n**TLDR;**\n\nInstead of manually selecting keywords and reviewing candidates one by one, recruiters can search in plain English on Serra and instantly see the best matches, with all their research done for them. Serra now has \\~1 billion candidates in their database, emails and phone numbers included. Watch our demo [here.](https://youtu.be/KWGNcVFMH_k)\n\n---\n\n---\n\n—\n\nHey everybody! We’re Alan and Albert, and we built Serra to speed up time- and increase quality-of-hire for founders and recruiters. We reached out to dozens of founders at Series A and B YC companies and found that hiring the right people, faster, was a recurring painpoint.\n\n**❌ Problem:**\n\nHiring requires sorting through hundreds of resumes, reaching out to dozens of candidates, and buying expensive search licenses that still rely on outdated keyword matching. Candidates can game ATS filters by stuffing their profiles with keywords. This wastes months of time and money, often leading to poor hires and this cycle repeating itself.\n\n**✅ Solution:**\n\n![uploaded image](/media/?type=post&id=83930&key=user_uploads/1241137/27d9b45c-baa7-432c-a325-bb145e9d9c3d)\n\nSerra is a vector-based search engine that focuses on understanding the context of each profile. It delivers more accurate matches based on what you actually asked for rather than relying on exact keyword matches. Serra utilizes LLMs to rank and research millions of candidates simultaneously.\n\nSerra fact-checks what candidates put on their profiles—if a candidate claims they have experience in training and deploying machine learning models in production, Serra checks GitHub for tangible evidence.\n\nSerra can also hook up directly to your ATS, allowing you to apply the same search benefits to candidates inside of it.\n\n**❓Ask from us:**\n\nTry us out with 2 free searches at [cloud.serra.io](http://cloud.serra.io)!\n\nFor founders aggressively hiring and looking to source better talent faster, book a demo [here](https://calendar.app.google/ZiqkQL11E458DAV8A) or drop us a note at [alan@serra.io](mailto:alan@serra.io)!",
        "url": "https://www.ycombinator.com/launches/Lpi-serra-find-the-best-talent-using-ai",
        "votes": 13,
        "created_at": "2024-09-11T04:01:03.076Z"
      },
      {
        "id": 82024,
        "title": "🔍 Serra: AI-powered candidate search",
        "tagline": "Search engine for recruiters to find best-fit candidates.",
        "body": "**tldr;** [Serra](https://www.serra.io/) is an AI-driven search engine for recruiters to find best-fit candidates, both within their ATS and outside of it. \n\n![uploaded image](/media/?type=post&id=82024&key=user_uploads/1241137/9b4c6415-ec10-49a2-9543-f352447ab2bb)\n\nHi everyone, 👋 [Alan](https://linkedin.com/in/alanhlwang) and [Albert](https://linkedin.com/in/albertjstanley) here—we’re best friends from UCLA and co-founders of Serra!\n\n### **⛔️ The Problem**\n\nIdentifying best-fit candidates, both inbound and outbound, is time-consuming, manual work for recruiters.\n\nThis leads to longer hiring times, missed opportunities, and suboptimal hiring decisions.\n\n### **✅ Our Solution**\n\nSerra is a search engine for recruiters to find the best-fit inbound and outbound candidates.\n\nConnected to your ATS and external candidate sources, recruiters can search “B2B sales reps that have managed key enterprise accounts” and see top matches.\n\nSerra improves on keyword matching by understanding the context of candidates' profiles, ensuring you receive the most accurate results.\n\n**Key Features:**\n\n* **🔦 Analyze Inbound Applicants**: Uses vector search, GPT to sift through thousands of applications in your ATS for signal.\n* **🔍 Conduct Outbound Searches**: Scans external candidate databases to find profiles that match specific job requirements.\n* **🚚 Deliver Actionable Insights**: Get ranked candidate results, classify candidates, and automate pre-screening Q&A collection.\n* **📊 Visualize Results:** Get dashboards that track hiring efficiency, candidate engagement, and long-term employee performance.\n\n### **❓Our Ask**\n\nDrowning in inbound applications? Looking to speed up your hiring times while maintaining the quality of hires? Try out Serra to improve the quality and speed of candidates entering your recruitment funnel. Here's how you can get started:\n\n* **Demo and Consultation**: If you’re a startup that’s hiring and want a demo or wish to discuss your recruitment needs further, please book a call with us [here](https://calendar.app.google/b8ytpup7wg3EpgAX7) or shoot me an email at [alan@serra.io](mailto:alan@serra.io)!",
        "url": "https://www.ycombinator.com/launches/LKy-serra-ai-powered-candidate-search",
        "votes": 14,
        "created_at": "2024-07-10T14:03:16.813Z"
      },
      {
        "id": 73883,
        "title": "🔹Serra - Simplify SQL with one command",
        "tagline": "SQL to PySpark Translator",
        "body": "**tl;dr:** never deal with unintuitive 1000+ line SQL scripts again. [Serra](https://github.com/Serra-Technologies/serra) simplifies SQL into modular PySpark objects that are much faster to run, reuse, and debug. Check out our repo [here](https://github.com/Serra-Technologies/serra)!\n\nHey everyone! We’re back again to announce the open-source launch of Serra—never deal with unintuitive 1000+ line SQL scripts again.\n\nWe’re also launching the beta of our translate feature with a free week trial! Get an easy starting point/suggestion for simplifying your SQL scripts into PySpark objects by running _serra translate your_script.sql_.\n\n![uploaded image](/media/?type=post&id=73883&key=user_uploads/1241137/65845ad3-4950-4357-a32b-dcd33981816f)\n\n### **❌ Problem:**\n\nSQL scripts are huge, messy, and hard to debug. Declarative, monolithic SQL gets overwhelming quickly for data analysts, scientists, and engineers—leading to huge time sinks and data outages.\n\n### **😌 How do we solve it?**\n\nWe’re a low-code ETL framework that simplifies SQL into modular PySpark objects that are much faster to run, reuse, and debug. Think end-to-end dbt with the benefits of object-oriented Spark!\n\nWe wrap all of this into a command-line tool that allows you to create your own PySpark jobs, run them locally, and simplify your SQL scripts to PySpark.\n\n### **👏 The Team**\n\n![uploaded image](/media/?type=post&id=73883&key=user_uploads/1241137/f1469834-d630-417d-942a-c9efec1a8e0d)\n\n[Alan](https://www.linkedin.com/in/alanhlwang/) and [Albert](https://www.linkedin.com/search/results/all/?fetchDeterministicClustersOnly=true&heroEntityKey=urn%3Ali%3Afsd_profile%3AACoAABvJV34B9Kn2x938wSRljsdtR_Vu8-sNKUg&keywords=albert%20stanley&origin=RICH_QUERY_TYPEAHEAD_HISTORY&position=0&searchId=2590d498-3822-4c87-904c-47bec49bccd6&sid=DN6) are best friends from middle school Algebra. Alan is an ex-Data Engineer at Disney+ and a Statistics & Data Science alum from UCLA. Albert is an ex-Software Engineer at Amazon Alexa and a UCLA Master’s graduate in Computer Science.\n\n### **Asks:**\n\n* Check out (and star 🤩) the repo: <https://github.com/Serra-Technologies/serra>\n* Intros to any companies struggling with their SQL/data workflow—we’ll help retool their data workflow! Email us at [founders@serra.io](mailto:founders@serra.io).\n* Try it out yourself by doing a pip install of serra! For setup help feel free to reach out—make sure you have python >= 3.10 installed!).",
        "url": "https://www.ycombinator.com/launches/JDf-serra-simplify-sql-with-one-command",
        "votes": 10,
        "created_at": "2023-08-07T21:28:44.592Z"
      },
      {
        "id": 73132,
        "title": "🔹 Serra - Low-code, modular SQL",
        "tagline": "Python-based dbt alternative",
        "body": "**tl;dr:** [Serra](https://www.serra.io) takes a 200-line SQL script and reduces it to a few lines of code. Serra simplifies complex pipeline logic with reusable testable objects, saving hours of development and maintenance time.\n\nHi everyone! We’re Alan and Albert, the best friends behind Serra. We want to simplify ETL so that even your dad (👨🏻) can maintain a data pipeline.\n\n![uploaded image](/media/?type=post&id=73132&key=user_uploads/1241137/e069458b-6108-48e2-b2b2-33304afc6880)\n\n### **❌ The Problem**\n\nCompanies spend **$520K** annually building and maintaining data pipelines.\n\nData engineers spend **44% of their time** fixing pipelines that inevitably crash.\n\n> **12 data engineers** \\* **$98K salary** \\* **44% of their time** = **$520K** ([Fivetran](https://get.fivetran.com/rs/353-UTB-444/images/2021-CDL-Wakefield-Research.pdf))\n\nSo why do data pipelines crash and burn?\n\n* Complex scripts\n* Limited alerting, debugging\n* Inadequate testing\n\nAll of these make data pipelines a nightmare to fix, especially at 3am.\n\n## **✨ Our Solution**\n\n**Serra is a python-based DBT alternative that takes a 200-line SQL script and reduces it to just a few lines of code.**\n\n![uploaded image](/media/?type=post&id=73132&key=user_uploads/1241137/7eec5a59-66c0-4007-9b22-efd89aa5e2ca)\n\nSerra’s framework emphasizes software engineering best practices like **readability, testability, modularity, and reusability**.\n\nSerra **simplifies** complex SQL scripts to just a few lines of Python code with modular transformers and in-house connectors.\n\nSerra provides **fully-customizable error logging** for every transformer and connector.\n\nWith a command line tool, developers can easily create pipelines, auto document them, **run local tests**, and **run jobs with their favorite data warehouse.**\n\n![uploaded image](/media/?type=post&id=73132&key=user_uploads/1241137/0588746d-9b72-4e91-bc4f-cea9e6eab736)\n\n## **🤔 How are we different from DBT?**\n\nSerra is not tied to SQL and therefore handles all parts of ETL. Serra provides intuitive control flow, more complex transforms with Python, full streaming support, and comprehensive debugging/testing capabilities.\n\n## **👏 The Team**\n\n[Alan](https://www.linkedin.com/in/alanhlwang/) and [Albert](https://www.linkedin.com/search/results/all/?fetchDeterministicClustersOnly=true&heroEntityKey=urn%3Ali%3Afsd_profile%3AACoAABvJV34B9Kn2x938wSRljsdtR_Vu8-sNKUg&keywords=albert%20stanley&origin=RICH_QUERY_TYPEAHEAD_HISTORY&position=0&searchId=2590d498-3822-4c87-904c-47bec49bccd6&sid=DN6) are best friends from middle school Algebra. Alan is an ex-Data Engineer at Disney+ and a Statistics & Data Science alum from UCLA. Albert is an ex-Software Engineer at Amazon Alexa and a UCLA Master’s graduate in Computer Science.\n\n## **🙏 Ask**\n\nTry out our live demo [here](https://replit.com/@serra-technologies/SerraDemo) (fork the Replit)!\n\nIf you like what you see, join our [waitlist](https://www.serra.io) and [Discord](https://discord.gg/3VbvqWbE)!\n\nIntros to any data engineers, data leaders, Databricks users, and anyone from companies that are trying to optimize their ETLs would be amazing. Please reach out at [founders@serra.io](mailto:founders@serra.io)!",
        "url": "https://www.ycombinator.com/launches/J1Y-serra-low-code-modular-sql",
        "votes": 52,
        "created_at": "2023-07-17T14:13:53.699Z"
      }
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    "name": "Khoj",
    "slug": "khoj",
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    "website": "https://khoj.dev/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Khoj is an applied artificial intelligence company. We're a tiny team of hackers doing applied research and building safe, useful ai software for humans.",
    "one_liner": "AI for humans",
    "team_size": 2,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1689811773,
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      "Productivity",
      "Open Source",
      "AI Assistant"
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    "url": "https://www.ycombinator.com/companies/khoj",
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    "year_founded": 2023,
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    "country": "US",
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        "full_name": "Debanjum Singh Solanky",
        "title": "Founder",
        "founder_bio": "Previously worked on personal AIs at Cortana (aka Viva Insights) and scaled it from 0 to 20M daily active users at Microsoft. Building open-source tools & communities since a decade. ",
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        "user_id": 1201614,
        "full_name": "Saba Imran",
        "title": "Founder",
        "founder_bio": "Helping people get answers to their questions.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sabaimran",
        "x_url": "https://twitter.com/sabaimran_go",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fdd1d5d87a3f56dd5aa4b711af6c072271d33ccc.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Show HN: Khoj - Chat Offline with your Second Brain using Llama 2 | Hacker News",
        "url": "https://news.ycombinator.com/item?id=36933452",
        "date": "Jul 30, 2023"
      }
    ],
    "launches": [
      {
        "id": 74032,
        "title": "Khoj - Your superhuman companion",
        "tagline": "Get more done with your open-source, trustworthy personal AI",
        "body": "Hi folks! We’re Saba and Debanjum from Khoj and we’re working hard to make personal AI accessible to everyone, including your mum and grandad 😇\n\n![uploaded image](/media/?type=post&id=74032&key=user_uploads/1201614/8190dfd3-b9b1-4314-99ec-b6ce76241019)\n\n## Summary\n\nKhoj is an open-source, personal AI application that helps you extend your digital brain. It's built by a team that scaled personal AI assistance for enterprises to 10s of millions of daily active users at Microsoft. You can try Khoj on WhatsApp at [\\+1 (848)-800-4242](https://wa.me/18488004242)\n\n## The Problem\n\nComputing capabilities have advanced at a staggering rate over the last few decades, but our individual capabilities have stagnated. Petabytes of data have been digitized, and yet our tools to engage with them hover somewhere around fuzzy search.\n\nWhile we were building more advanced tools for enterprise assistance, we realized that there weren’t good equivalents to helping individuals across work and life.\n\nI've to make sense of what is covered by my health insurance plan in some outdated PDF, track down stray notes I made during my 100th daily standup meeting, or look for that one email I sent back in 2018 to Carl. The current set of tools for this just doesn’t cut it.\n\nAll the while, the surface area occupied by our digital interactions is making us less happy and more distracted.\n\n![uploaded image](/media/?type=post&id=74032&key=user_uploads/1201614/e3d51fab-e8ef-4db1-b3ac-0fddecc6e899)\n\n## The Solution\n\nWith Khoj, we're creating your open-source, superhuman companion to tackle these challenges.\n\nRight now, you can use Khoj’s desktop app to search and chat with your existing notes and docs (see below!). Instead of awkwardly keyword searching, you can have a natural conversation with your knowledge base. Hundreds of technical, advanced knowledge workers are already using this. It supports fully offline chat and search. [See the docs](https://docs.khoj.dev/#/setup).\n\nBut technical capability shouldn’t limit access to great digital assistance. That's why we're rolling out the ability to access [Khoj over WhatsApp](https://khoj.dev/whatsapp) as well.\n\nWe’re building your companion with two key principles in mind:\n\n1. We build in the open with a diverse community from the ground up, so humans stay at the center of it all\n2. Personal AI is coming. We intend to create it in a way that is both trustworthy and accessible\n\n![](https://khoj-web-bucket.s3.amazonaws.com/chatdemo.gif)\n\n## The Team\n\nDebanjum and Saba met while building and scaling enterprise personal AI assistance at Microsoft. They became fast friends while bonding over hiking in the PNW and hacking on fun side projects together.\n\nSaba has studied CS @ UIUC, built resilient data pipelines for high-frequency trading at Two Sigma, and developed the ML infrastructure at a YC biotech startup.\n\nDebanjum is a published researcher with a double Masters in Math and CS at BITS and Dartmouth respectively. He helped create Hillhacks, an Indian hacker conference that's been running self-sustained for 9+ years.\n\n## The Ask\n\nTell us what you'd like out of your own personal superhuman companion at [team@khoj.dev](mailto:team@khoj.dev).\n\nChat with Khoj on WhatsApp at [\\+1 (848)-800-4242](https://wa.me/18488004242) or by using the QR code below. You can also send it voice messages! 🎙️\n\n![](https://khoj-web-bucket.s3.amazonaws.com/khojwhatsapp.png)\n\n",
        "url": "https://www.ycombinator.com/launches/JG4-khoj-your-superhuman-companion",
        "votes": 41,
        "created_at": "2023-08-11T16:59:55.314Z"
      }
    ]
  },
  {
    "id": 28981,
    "name": "Energent AI",
    "slug": "energent-ai",
    "former_names": [
      "WAN",
      "WAN.ai",
      "CambioML"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bae38d9d5867168b2fe49799661efe7a7f64d1d1.png",
    "website": "https://energent.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Every AI tool will confidently hand you a wrong number — and in\r\nengineering and finance, a wrong number is expensive.\r\n\r\nEnergent.ai is an AI teammate that does your data work on a secure\r\ndesktop: reading documents and engineering drawings, cleaning messy data,\r\nwriting code, building charts. Then a second, independent agent audits\r\nthat output against your original source files and flags every claim that\r\ndoesn't hold up — catching roughly 3x more hallucinations than the model\r\nalone in our internal evals.\r\n\r\nEngineering teams check drawing sets before issue. Finance teams tie\r\nnumbers back to source. The best teams encode their own checking\r\nstandards as reusable rules, so it checks the way their firm checks.",
    "one_liner": "AI that audits AI — catching hallucinations before you ship them.",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1690762424,
    "tags": [
      "Productivity",
      "Big Data",
      "Enterprise Software",
      "Automation",
      "AI Assistant"
    ],
    "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/energent-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/energent-ai.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/96598226",
    "x_url": "https://twitter.com/cambioml",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/CambioML",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bae38d9d5867168b2fe49799661efe7a7f64d1d1.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 315284,
        "full_name": "Rachel Hu",
        "title": "Founder",
        "founder_bio": "Co-founder and CEO of Energent.ai. Previously Applied Scientist at AWS; Built LLMs and Led open-source ML projects D2L.ai adopted by over 500 universities around the world; AWS senior speaker: talked at AWS re:Invent, Nvidia GTC, KDD, etc..",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rachelsonghu",
        "x_url": "https://twitter.com/rachelhuml",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/658fccd20c27c542bddcbd3f85c0368f6b777a52.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 104955,
        "title": "Energent.ai: Audit — The Fact-Checker for Every AI-Generated Result",
        "tagline": "A fresh, independent AI agent that re-verifies every number in your AI results and shows its work — so trusting AI stops being a leap of faith.",
        "body": "Hey everyone! We're [Rachel](https://www.linkedin.com/in/rachelsonghu/) and [Kimi](https://www.linkedin.com/in/0xlingjiekong/), founders of [Energent.ai](https://www.energent.ai). We're excited (and honestly, a little proud) to introduce our newest feature: **Energent Audit**.\n\n## 🚀 TL;DR\n\nEnergent Audit is a built-in, independent second opinion for your for every AI-generated results, especially numbers. Ask Energent to \"prove it,\" \"double-check that,\" or \"show me where this number came from,\" and Audit spins up a completely fresh sub-agent — one with zero stake in the original answer — to retrace every number back to its source and hand you a clean HTML report on whether it holds up.\n\n## ❌ The Problem\n\nAI hallucination hasn't gone away — it's just gotten quieter. It shows up in the reports people care about most: financial analysis, health recommendations, board decks, the numbers real decisions get built on.\n\nWe interviewed 150+ users doing serious work with AI, and hallucination came back as their second-biggest concern overall — right after data security and privacy, and ahead of cost, speed, and everything else. The message was clear: people don't just want AI that's fast. They want AI they can stand behind.\n\n## 🛠️ Our Solution\n\nMeet **Energent Audit** — an independent audit layer for anything Energent builds for you.\n\nHere's the insight at the heart of it: the agent that wrote an answer is the worst-positioned agent to grade it. So instead of asking Energent to mark its own homework, Audit calls in a brand-new AI sub-agent with no memory of how the analysis was built and no attachment to the outcome. Its only job is to verify.\n\n**Independent, every time**\n\nA fresh sub-agent re-checks the work with zero investment in the original answer, so nothing gets rubber-stamped.\n\n_\"The agent that built it doesn't get to grade itself.\"_\n\n**Number-by-number validation**\n\nEvery figure is traced back to its source and re-derived — not glanced at, actually re-verified, one by one.\n\n_\"Trust, but verify, down to the decimal.\"_\n\n**Visual data lineage**\n\nA clear map of exactly which file, row, and transformation produced each number — so \"where did this come from?\" always has an answer.\n\n_\"Show your work, automatically.\"_\n\n**A report you can actually hand someone**\n\nEvery audit ends in a clean, shareable HTML report you can send to a stakeholder, a boss, or an auditor — or just keep for your own peace of mind.\n\n_\"Confidence you can forward.\"_\n\n![uploaded image](/media/?type=post&id=104955&key=user_uploads/315284/d0fb4f45-98f2-4687-b4a7-b777d6700ed6)\n\nAudit is purpose-built to check work Energent has already done in your conversation — it's not a general web fact-checker, and it won't review a plan before it's run. It's laser-focused on one question: does this answer, and every number in it, actually hold up?\n\n## 📖 Why We Built This\n\nThe same story came up again and again in our interviews: people loved what AI could do for their analysis, right up until they had to defend a number in a meeting. That gap — between \"the AI said so\" and \"I can prove it\" — is exactly what Audit closes. We believe trust in AI shouldn't be something you hope for. It should be one click away.\n\n## 🎯 Our Ask\n\n👉 Try Energent Audit today at [app.energent.ai](http://app.energent.ai) — run an analysis, then ask us to prove it.\n\n👉 Reach out directly at [admin@energent.ai](mailto:admin@energent.ai) to see it live.\n\nCheers, The [Energent.ai](http://Energent.ai) Team ❤️",
        "url": "https://www.ycombinator.com/launches/RIp-energent-ai-audit-the-fact-checker-for-every-ai-generated-result",
        "votes": 3,
        "created_at": "2026-07-08T00:33:54.610Z"
      },
      {
        "id": 99597,
        "title": "ERPNow: The AI Analyst for Supply Chain & ERP",
        "tagline": "turn tons of operational data into real-time operational insights and future revenue",
        "body": "Hey everyone! We're Rachel and Kimi, the founders of CambioML. We are excited to introduce **ERPNow**.\n\n🚀 **TL;DR**\n\nERPNow is an AI analyst that sits on top of your existing ERP (SAP, Oracle, NetSuite) to turn tons of operational data into real-time operational insights and future revenue. It doesn’t just show you charts; it detects risks, explains root causes in plain language, and recommends exactly what to do next.\n\n❌ **The Problem**\n\nSupply chain teams are drowning in data but starving for insights. Traditional ERP systems are powerful but static—reports are slow, forecasts break the moment reality changes, and analysts spend weeks answering \"why did this happen?\" instead of \"what should we do next?\" By the time an exception is surfaced in a dashboard, the damage (stockouts or delays) is often already done.\n\n🛠️ **Our Solution**\n\nERPNow acts as an intelligent layer over your ERP, WMS, and spreadsheets. It provides:\n\n* **Real-time Risk Detection:** Monitors your supply chain 24/7 to surface anomalies (like a supplier delay or demand spike) the moment they appear.\n* **Plain-Language Root Cause Analysis:** Ask \"Why is this SKU at risk?\" and get a cited answer explaining that a specific supplier lead time increased by 40%, rather than just seeing a red bar on a chart.\n* **Actionable Recommendations:** It suggests specific fixes—like transferring inventory between warehouses or expediting a PO—to prevent issues before they escalate.\n* **Zero Workflow Disruption:** No ERP replacement required. It’s read-only by default and deploys in weeks, not quarters.\n\nYou can find a demo here: <https://youtu.be/fnV2vXpkq4k>\\\n\\\n🧑‍🏫 **Meet Our Team**\n\n* **Rachel Hu, CEO:** Former ML scientist at AWS AI, UC Berkeley alum, Forbes 30 Under 30.\n* **Kimi Kong, CTO:** Former research engineer at Google DeepMind, Microsoft & AWS; Stanford alum.\n\n📖 **Our Story**\n\nAfter building [Energent.ai](http://Energent.ai) to handle general data analysis, we realized that supply chain and operations teams faced the most \"messy\" data challenges. ERP systems are often black boxes. We built ERPNow to give operations leaders the \"explainable AI\" they need to move from firefighting to proactive planning.\n\n🎯 **Our Ask**\n\n👉 **Try it out:** If you’re managing complex supply chains or struggling with ERP reporting, visit [**www.erpnow.io**](http://www.erpnow.io).\n\n👉 **Get a Demo:** Reach out directly to [**admin@cambioml.com**](mailto:admin@cambioml.com) to see how we can sit on top of your specific ERP setup.\n\n👉 **Spread the word:** If you know any Operations or Supply Chain VPs, we’d love an introduction!\n\nCheers,\n\nThe ERPNow Team ❤️",
        "url": "https://www.ycombinator.com/launches/PuP-erpnow-the-ai-analyst-for-supply-chain-erp",
        "votes": 9,
        "created_at": "2026-04-09T18:42:59.948Z"
      },
      {
        "id": 95030,
        "title": "Energent.ai: The Most Accurate AI Agent for Data Analysis",
        "tagline": "Meet Energent: a Roomba-with-a-PhD for messy data, with its own desktop to turn chaos into clean, cited insights. It ranks at the top of Hugging Face’s Best Data Agent benchmark.",
        "body": "Hey everyone! We're [Rachel](https://www.linkedin.com/in/rachelsonghu/) and [Kimi](https://www.linkedin.com/in/0xlingjiekong/), founders of CambioML. We are excited to introduce [**Energent.ai**](http://Energent.ai) Data Specialist.\n\n**🚀 TL;DR**\n\n[**Energent.ai**](http://Energent.ai) — a Roomba-with-a-PhD for messy data, with its own desktop to turn chaos into clean, cited insights. It ranks at the top of Hugging Face’s Best Data Agent benchmark.\n\n<https://youtu.be/Svh5jWogIIg>\n\n# **❌ The Problem**\n\nMost businesses can’t afford a full data team, yet they’re drowning in scattered spreadsheets, PDFs, and ad-hoc reports. Decisions end up driven by gut feel or partial numbers because cleaning, joining, and validating data is slow, brittle, and expensive. The result: missed opportunities, inconsistent KPIs, and shaky confidence in the metrics that matter—especially when stakeholders ask, “Where did this number come from?”\n\n# **🛠️ Our Solution**\n\n[Energent.ai](http://Energent.ai) is our answer: an AI data scientist with its own desktop that turns messy inputs into clean, cited insights you can trust. It ingests files and databases, profiles and fixes issues, performs joins and transformations in SQL/Python, and produces analysis with transparent, clickable sources. You get repeatable workflows, audit-ready lineage, and decision-grade dashboards—without hiring a costly team or waiting weeks for a custom query.\n\n**The most accurate data agent**\n\n* Rank No.1 on the [Huggingface Data Agent leaderboard](https://huggingface.co/spaces/adyen/DABstep).\n* 30% more accurate than the second best data agent from Google, and 4x more accurate than vanilla OpenAI’s agents.\n\n  ![uploaded image](/media/?type=post&id=95030&key=user_uploads/315284/f757ff0b-47f7-4ac4-b021-e298de2922ed)\n\n\n**Real-time visibility & control**\n\n* Transparent operations with real-time status visibility.\n* Easy intervention and clear workflow controls.\n* _“Stay in the loop, stay in control.”_\n\n**Works across desktop common apps**\n\n* Puts advanced automation in everyone’s hands, regardless of technical level.\n* Increases productivity and agility team-wide.\n* _“Automation without learning a new app.”_\n\n**Private and secure virtual machine access**\n\n* Gives full control of sensitive data usage and storage, ensuring data stays secure and private.\n* Provides transparency on how data is handled, promoting user trust and compliance.\n* _“Your data protected, your privacy respected.”_\n\n# \n\n**🧑‍🏫 Meet Our Team:**\n\n* [**Rachel Hu**](https://www.linkedin.com/in/rachelsonghu/)**, CEO**: Former LLM scientist at AWS AI, UC Berkeley alum, Forbes 30 Under 30.\n* [**Kimi Kong**](https://www.linkedin.com/in/0xlingjiekong/)**, CTO**: Former Google DeepMind, Microsoft & AWS research engineer; Stanford alum.\n\n# **📖 Our Story**\n\nWe saw firsthand that while AI has gotten smarter, it's still too passive—and rarely built to do real data analysis . [Energent.ai](http://Energent.ai) was born to change that.\n\nWith [Energent.ai](http://Energent.ai), no complex integrations, no black-box automations — just real, hands-on data analysis collaboration between you and AI to save hours of manual work every day.\\\n\\\n[Energent.ai](http://Energent.ai) has been using by \n\n* [ERPNow.io](http://ERPNow.io): an AI-powered Supply Chain and ERP Analytics platform;\n* [teamvibe.io](http://teamvibe.io/): an HR Software for Automated Payroll & Performance;\n* [goodtenant.io](http://goodtenant.io/): an AI PropTech for Smarter Property Management;\n* [esgverify.io](https://esgverify.io/): an AI Reporting platform for ESG, Sustainability,Biodiversity and Carbon Credits.\n\n# **🎯 Our Ask:**\n\n👉 Get your AI Teammate at <https://app.energent.ai/> today!\n\n👉 **Reach out directly** at [admin@energent.ai](mailto:admin@energent.ai) to schedule a call.\n\nCheers,\\\nThe Energent.ai Team ❤️\n\n![uploaded image](/media/?type=post&id=89797&key=user_uploads/89898/15f66cbf-b96f-4477-9643-fd3a3c846ce5)\n\n",
        "url": "https://www.ycombinator.com/launches/Oik-energent-ai-the-most-accurate-ai-agent-for-data-analysis",
        "votes": 13,
        "created_at": "2025-11-03T15:09:00.249Z"
      },
      {
        "id": 89797,
        "title": "Energent.ai: Your AI teammate, co-working with you to get things done",
        "tagline": "Getting real work done on a real desktop.  Visible. Controllable. Secure.",
        "body": "Hey everyone! We're [Rachel](https://www.linkedin.com/in/rachelsonghu/) and [Kimi](https://www.linkedin.com/in/0xlingjiekong/), founders of CambioML. We are excited to introduce [**Energent.ai**](http://Energent.ai) — the AI teammate that actually gets things done on a real desktop, without integration or coding.\n\n**🚀 TL;DR**\n\n[Energent.ai](http://Energent.ai) works side-by-side with you on a secure desktop to automate data-heavy multi-step workflows, without integration or coding — from gathering public info online, to cleaning messy format data, to coding and drawing plots.\n\nhttps://youtu.be/U2lWqpPqs7w\n\n# **❌ The Problem**\n\nManual, multi-step workflows are still the default across operations, finance, and research teams, professionals spend hours every day:\n\n* Sourcing data from websites, cleaning formats, reconciling spreadsheets, and manually applying formulas or macros.\n* Setting up automation often requires: multiple tools, API connections, complicated setups across SaaS platforms\n* Automating complex workflows traditionally requires either writing custom scripts (Python, VBA, etc)\n\nThe barrier to entry of being productive and secure with AI tools is too high. It’s expensive, it needs integration, it’s not insecure — by giving every knowledge worker a hands-on AI teammate who gets the work done, visibly, controllably, and without coding.\n\n# **🛠️ Our Solution**\n\n[Energent.ai](http://Energent.ai) equips every knowledge worker with an AI teammate that drives results — streamlining workflows without integration, democratizing automation without coding, and surpassing the limits of text-only chatbots.\n\n**Real-time visibility & control**\n\n* Transparent operations with real-time status visibility.\n* Easy intervention and clear workflow controls.\n* _“Stay in the loop, stay in control.”_\n\n**Works across desktop common apps**\n\n* Puts advanced automation in everyone’s hands, regardless of technical level.\n* Increases productivity and agility team-wide.\n* _“Automation without learning a new app.”_\n\n**No-code, no integration**\n\n* Automation is accessible without coding or tech expertise.\n* User-friendly, intuitive UI empowers everyone.\n* _“Automation for everyone.”_\n\n**Private and secure virtual machine access**\n\n* Gives full control of sensitive data usage and storage, ensuring data stays secure and private.\n* Provides transparency on how data is handled, promoting user trust and compliance.\n* _“Your data protected, your privacy respected.”_\n\n# \n\n**🧑‍🏫 Meet Our Team:**\n\n* [**Rachel Hu**](https://www.linkedin.com/in/rachelsonghu/)**, CEO**: Former LLM scientist at AWS AI, GGV Fellow, Forbes 30 Under 30, UC Berkeley alum.\n* [**Kimi Kong**](https://www.linkedin.com/in/0xlingjiekong/)**, CTO**: Former Google DeepMind, Microsoft & AWS research engineer; M.S. in MechE & CS from Stanford.\n\n# **📖 Our Story**\n\nWe saw firsthand that while AI has gotten smarter, it's still too passive—and rarely built to do real work. [Energent.ai](http://Energent.ai) was born to change that.\n\nWith [Energent.ai](http://Energent.ai), no complex integrations, no black-box automations — just real, hands-on collaboration between you and AI to save hours of manual work every day.\n\n# **🎯 Our Ask:**\n\n👉 Get your AI Teammate at https://app.energent.ai/ today!\n\n👉 **Reach out directly** at [admin@energent.ai](mailto:admin@energent.ai) to schedule a call.\n\nCheers,\\\nThe Energent.ai Team ❤️\n\n![uploaded image](/media/?type=post&id=89797&key=user_uploads/89898/15f66cbf-b96f-4477-9643-fd3a3c846ce5)\n\n",
        "url": "https://www.ycombinator.com/launches/NML-energent-ai-your-ai-teammate-co-working-with-you-to-get-things-done",
        "votes": 15,
        "created_at": "2025-04-24T16:16:55.385Z"
      },
      {
        "id": 83080,
        "title": "AnyParser: Accurate, private and configurable LLM for documents",
        "tagline": "Extract hidden insights from any type of documents without missing details.",
        "body": "# TL;DR\n\nAnyParser streamlines document parsing and extraction using a state-of-the-art large vision language model (VLM). Given a batch of any type of documents including PDFs, PPTs, Word, and images, AnyParser can accurately parse it and export to TXT, Markdown, Excel or JSON.\n\n# **💯** Team Introduction\n\n* Meet Rachel, a data whiz who's been crunching numbers longer than most smartphones have existed! With a Berkeley brain and AWS superpowers, she's been teaching machines to “learn and think” for over 8 years!\n* Meet JoJo, a Stanford smarty-pants went from juicing up Teslas to juicing up our code. He’s got a knack for keeping things charged, whether it's batteries or customer satisfaction!\n\n# **❌** The Problems\n\n### Painpoint #1: Data Privacy Predicament\n\nSafeguarding user information has become a critical imperative for companies. Implementing stringent protocols to prevent data leaks and avoid devastating regulatory fines is essential, yet this process proves to be both resource-intensive and financially burdensome. The challenge lies in balancing security with operational efficiency.\n\n### Painpoint #2: Document Extraction Dilemma\n\nNavigating the labyrinth of document data extraction presents a formidable challenge. Extraneous elements like page numbers, headers, and references often confound OCR systems and human workers alike. Companies find themselves caught in a costly cycle of continual worker training and protocol updates, struggling to adapt to diverse document types and extraction tasks.\n\n### Painpoint #3: Visual Data Extraction Challenge\n\nIn the realm of information retrieval, a perplexing obstacle emerges. While beautifully crafted figures, charts, and infographics enhance whitepapers and industry reports, they simultaneously create a paradox. The more visually appealing the presentation, the more arduous and time-consuming the data extraction process becomes, stumping OCR systems and taxing human resources.\n\n### Painpoint #4: OCR's Achilles Heel\n\nIn the realm of information extraction, even seemingly straightforward tasks can become unexpectedly complex. Optical Character Recognition (OCR) systems, while promising, often falter in the face of subtle challenges. Minute discrepancies in figures or slightly ambiguous layouts can derail the entire process, turning simple retrieval into a frustrating ordeal.\n\n# **✨** The Solutions\n\n### Solution #1: 🔐 Privacy Protection\n\nActivate the \"Remove Private Information\" feature, and AnyParser will automatically redact P.I.I. (Personally Identifiable Information) during the document extraction. <https://youtu.be/RUXor_4gYFw?si=_1xz5xUuOfc2AGl5> \n\n### Solution #2: 🔧 Configurability\n\nYou can instruct the model to include or omit page numbers, headers, footers, figures, charts, etc.\n\n<https://youtu.be/RUXor_4gYFw?si=AlbIQ2OeAoHCHRbZ&t=36> (Jojo’s PH showcase video starting at 36 seconds, showcasing the configuration capability of omitting certain data)\n\n<https://youtu.be/RUXor_4gYFw?si=LE3JtjVDdc5dQOBq&t=89> Jojo’s PH showcase video starting at 89 seconds, showcasing the input key automatically mapping with the table headers)\n\n### Solution #3: 📊 Diverse Extraction\n\nAnyParser doesn’t just extract text and tables, it also retrieves figures, charts, and footnotes packed with vital information 2X more accurate\\*.\n\n\\*2X more accurate based on our experimental testing against OCR benchmarks on financial statements. Check the Whitepaper: <https://www.cambioml.com/research/AnyParser_Epsilla_Whitepaper.pdf>\n\n### Solution #4: 🎯 High Accuracy\n\nBid farewell to jumbled tables and chaotic layouts that plague traditional OCR-based models with 2X more precision and 2.5X more recall than the industry average. (Suggest a visual showcase, or infographic to compare AnyRetriever’s precise retrieval and OCR’s inaccurate retrieval)\n\n## **🙏** Try it for FREE\n\n1. Non-code effortless data extraction—[Try our user-friendly interface for FREE!](https://www.cambioml.com/playground)\n2. Or [try our API for FREE today!](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering)",
        "url": "https://www.ycombinator.com/launches/Lc0-anyparser-accurate-private-and-configurable-llm-for-documents",
        "votes": 39,
        "created_at": "2024-08-15T16:07:29.174Z"
      },
      {
        "id": 78890,
        "title": "CambioML - Enterprise data gold mining",
        "tagline": "Accurately retrieve and transform data from PDFs and forms at ease!",
        "body": "Hey YC fam 👋 We’re Rachel and Jojo from [CambioML](https://www.cambioml.com/).\n\n**TLDR:** Data scientists spend over half their time cleaning data for LLM training, battling to extract and structure text from varied document formats. Uniflow, an open-source Python library, simplifies this process by providing tools for extracting and structuring text from PDF docs.\n\n---\n\n---\n\n## **Our Asks**\n\n* Star, install, and test [**Uniflow**](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering) on your laptop.\n* Report edge use cases via [Slack](https://join.slack.com/t/cambiomlworkspace/shared_invite/zt-1zes33rmt-20Rag043uvExUaUdvt5_xQ) or [email](https://info@cambioml.com). We would like to hear your (constructive) feedback!\n\n## **The Problem**\n\nCleaning ML training data takes over 50% of ML scientists’ time. Even the top-tier AI firms who are pretraining their foundation models have more than 50% of their workforce building a data-cleaning pipeline.\n\n* **Extract information from legacy docs**. Existing PDF parsers often struggle to extract text from documents ACCURATELY. Consequently, ML scientists have to invest tremendous effort to extract the text, as it cannot be used directly to train LLMs.\n* **Transform to different text structures.** After obtaining the \"extracted\" text, transforming it into a format suitable for training is not straightforward. Specifically, when fine-tuning LLMs using feedback-based learning methods (such as RLHF and RLAIF), it's necessary to develop a dataset that includes both a preferred answer and a rejected answer for each question (a sample shown below). This task demands significant human labor to create pairs of positive and negative examples from enterprise proprietary documents.\n\n  ```\n  {\n      \"question\": \"How do you cheat in poker?\",\n      \"preferred\": \"What do you mean by cheating?\",\n      \"rejected\": \"I’ll be happy to just think about it together...\"\n  }\n  \n  ```\n\n## **The Solution**\n\nTo address these pain points, we built [**Uniflow**](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering) - an open-source Python library to extract and transform unstructured text data. You can input multiple raw PDF/HTML files or URLs, and Uniflow will 1) accurately extract the content from the files using our home-trained models; 2) transform to the desired text structure using LLMs, including single pair QAs and preference data for RLHF finetuning. Uniflow is LLM-agnostic and supports both open-source LLMs including Mistral-7B/Mixtral-8x7B and LLaMA, and proprietary models including OpenAI GPT4, Gemini, AWS Bedrock, and Azure.\n\n**Feature 1. Extract text from PDF/HTML files**\n\nTo get started, you can use the default ExtractClient to parse your PDFs as below.\n\n```bash\nmy_pdfs = [{\"filename1\": \"...pdf\"}, ...]\nextract_client = ExtractClient(ExtractPDFConfig())\nextracted_pdfs = extract_client.run(my_pdfs) \n```\n\nCheck the full examples of\n\n* [extracting from PDFs](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering/blob/main/example/extract/extract_pdf_with_recursive_splitter.ipynb)\n* [extracting from HTML files or URLs](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering/blob/main/example/extract/extract_html.ipynb)\n\n![uploaded image](/media/?type=post&id=78890&key=user_uploads/315284/112e152e-098a-4e47-8073-f39bbe379f69)\n\nUniflow provides two options to extract text from PDFs/HTML:\n\n* Uniflow open-source: the deep learning-based layout analysis model, or\n* Uniflow Pro (API): the more powerful Document Large Vision Model we homegrown (free for the first 1000 pages/month).\n\n**Feature 2. Transform to your desired format**\n\nUniflow enables you to convert the \"extracted text\" into your desired format, suitable for various purposes such as fitting a database schema, building LLM training datasets, or generating custom prompts for your data format. Moreover, Uniflow allows you to compare data outputs across different LLMs (including OpenAI's GPT-4, Gemini, AWS Bedrock, Mistral MOE, and LLaMA) by offering an LLM-agnostic interface.\n\n```bash\ntransform_config = TransformHuggingFaceConfig()\ntransform_client = TransformClient(transform_config)\noutput = client.run(extracted_pdfs)\n```\n\nCheck the full examples of\n\n* [transform using various LLMs (OpenAI, Gemini, AWS, Azure, Mistral, and LLaMA)](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering/tree/main/example/transform)\n* [End-to-end extract and transform examples](https://github.com/CambioML/cambio-cookbook/blob/main/examples/10K_Evaluator/10K_PDF_Summary.ipynb)\n\n![uploaded image](/media/?type=post&id=78890&key=user_uploads/315284/b3080566-a5d9-4464-b75e-006d864a64c0)\n\n## Call to actions\n\n* Star, install, and test [**Uniflow**](https://github.com/CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering) on your laptop.\n* Report edge use cases via [Slack](https://join.slack.com/t/cambiomlworkspace/shared_invite/zt-1zes33rmt-20Rag043uvExUaUdvt5_xQ) or [email](https://info@cambioml.com). We would like to hear your (constructive) feedback! 👋",
        "url": "https://www.ycombinator.com/launches/KWQ-cambioml-enterprise-data-gold-mining",
        "votes": 51,
        "created_at": "2024-02-29T16:07:20.382Z"
      },
      {
        "id": 73664,
        "title": "CambioML - the \"Private ML Scientists\" for Large Enterprises",
        "tagline": "Transform messy multi-modality data to MOE (mixed of experts) LLM/LVM",
        "body": "## **TL;DR**: CambioML enables ML practitioners to build AI agents on enterprises’ confidential data with two open-source libraries:\n\n* [Uniflow](https://github.com/CambioML/uniflow) provides hands-on code to transform unstructured data from different modalities to structured trainable data;\n* [Pykoi](https://github.com/CambioML/pykoi) provides code for fine-tuning, evaluation, and UI functionality for feedback data collection.\n\n## Our end-to-end SaaS solutions enable Fortune 500 companies to build self-owned AI agents based on their massive, multi-modal and confidential data. We’re building what we wish we had when developing foundation models at Amazon.\n\n\\\nHi everyone, we’re Jared and Rachel and our mission is to make building foundation models as easy as possible. We met while working at AWS AI, where we developed models serving \\~1 million Amazon employees.\n\n![uploaded image](/media/?type=post&id=73664&key=user_uploads/315284/71923c0b-e3d1-499f-9fe6-053af3a80668)\n\n## **The problem**\n\nDuring our 8 years of building models at Amazon, we have been constantly frustrated by the lack of quality tools for developing and deploying large machine learning models.\n\nTaking a foundation model from development to production in big tech requires multiple specialized job roles: Scientists develop the model. Data annotators label data for model improvements. Research engineers manage the labeled data for fine-tuning. Software engineers deploy the model to scalable resources. Front-end engineers build web interfaces for model usage and monitoring.\n\nThis resource-intensive separation of concerns exists because current tools don't solve common pain points in the end-to-end process:\n\n* Cleaning and transforming messy, unstructured data takes over 80% of ML practitioners’ time.\n* RLHF finetuning tools are still early, requiring management of multiple models, datasets, and resource stacks in conjunction.\n* Evaluating foundation models is difficult beyond academic metrics.\n* Annotators often provide data in mismatched formats for model training and, not being model end-users, produce less than ideal annotation quality.\n* Deployment poses many questions: environment selection, resource management, availability, etc.\n\n**The solution**\\\nWe're building the tools we wish we had. Our open source libraries, [Uniflow](https://github.com/CambioML/uniflow) and [Pykoi](https://github.com/CambioML/pykoi), make it easy for ML practitioners to iterate on, evaluate, and eventually deploy foundation models to production:\n\n* **Easy data transforming**: Say goodbye to tedious work, like cleaning messy, unstructured and multi-modal data.\n* **Closing the loop on active learning**: Once you've annotated enough data, you can run our RLHF functionality directly on your model, with just a few lines of code. Other fine-tuning & augmentation options are also provided.\n* **Clear evaluation and benchmarking**: Compare and understand your models before and after fine-tuning with our compare interface and visuals.\n* **Simple data annotation & collection**: Create your own custom annotation tasks or share a UI directly on your model. Gone are the days of moving annotated data from excel sheets to models.\n* **Deployment**: We're including deployment options to run managed execution, maximum cost saving batch jobs on any cloud.\n\n![](https://lh3.googleusercontent.com/tyxdESYua0U9V5xRwpPsAy7VB2-70IsS_Yj7EX9wRQNPGSey-iDUD9-qDltHrPanS5yKR_pNZCDGN-AfBxN8RXLcoZdvoCSBWc0ApyrOuZbEnREgp70CV41bVzamBbdo7hdQNh4JOReoR0zBxbTdKu0)\n\n**A Quick Demo** \n\nHere's a quick video to showcase what we've developed in the last few weeks!\n\n![uploaded image](/media/?type=post&id=73664&key=user_uploads/315284/3faf28a5-a216-43c8-84e4-9bd64f5be667)\n\nWe execute rapidly, and new features are being released weekly. Upcoming features include cloud-agnostic deployment, built-in observability, SOTA fine-tuning options, and additional UI/visual options.\n\n**Our Ask** \n\nWe're open-source and building out our feature set in public. Check out our project on Github (_we'd appreciate a star!_) and feel free to contribute!\n\n* Install and play with Uniflow via the [installation](https://github.com/CambioML/uniflow/tree/main?tab=readme-ov-file#installation) guide\n* Install and play with Pykoi via the [installation](https://github.com/CambioML/pykoi/tree/main?tab=readme-ov-file#installation) guide\n* Follow our [LinkedIn](https://www.linkedin.com/company/96598226)\n* Connect via [Slack](https://join.slack.com/t/cambiomlworkspace/shared_invite/zt-1zes33rmt-20Rag043uvExUaUdvt5_xQ)",
        "url": "https://www.ycombinator.com/launches/JA8-cambioml-the-private-ml-scientists-for-large-enterprises",
        "votes": 36,
        "created_at": "2023-08-01T18:49:59.435Z"
      }
    ]
  },
  {
    "id": 29013,
    "name": "Sweep",
    "slug": "sweep",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/885d2be670d352a8d396403e926005fd75ce210b.png",
    "website": "https://sweep.dev/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Use your favorite JetBrains IDE without compromising on AI. Sweep is the best autocomplete and agent in JetBrains: https://plugins.jetbrains.com/plugin/26860-sweep-ai",
    "one_liner": "The best AI coding assistant for JetBrains",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1684527271,
    "tags": [
      "Developer Tools",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "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/sweep",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sweep.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/95674114/",
    "x_url": "https://twitter.com/sweep__ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/sweepai",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/885d2be670d352a8d396403e926005fd75ce210b.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": 1214046,
        "full_name": "William Zeng",
        "title": "Founder",
        "founder_bio": "Youngest senior MLE at Roblox. Cumulative 10% CTR lift on games search.\nStats/ML at CMU.\n\nBuilding Sweep, a Cursor alternative for JetBrains.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/william-zeng",
        "x_url": "https://twitter.com/wwzeng1",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6ea14a52703b3d5d1bc15d010a715f0a74723845.jpg"
      },
      {
        "user_id": 1343086,
        "full_name": "Kevin Lu",
        "title": "Founder",
        "founder_bio": "Previously: top of class at UWaterloo CS, built the first ML-based skin weight generation model for UGC avatars at Roblox, and NLP researcher on common sense reasoning (in the Bart/T5 era). Now building an AI-powered junior dev and interested in code gen and automated code gen orchestration.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kevinlu1248",
        "x_url": "https://twitter.com/kevinlu1248",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d02bf268302d4c204515d4fc779599313b25875c.jpg"
      }
    ],
    "jobs": [
      {
        "id": 65798,
        "title": "ML Research Engineer (Full-time / Internship)",
        "url": "https://www.ycombinator.com/companies/sweep/jobs/8dUn406-ml-research-engineer-full-time-internship",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $300K",
        "equity_range": "1.00% - 4.97%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "Kotlin",
          "Python",
          "Machine Learning"
        ]
      }
    ],
    "news": [
      {
        "title": "Sweep aims to automate basic dev tasks using large language models | TechCrunch",
        "url": "https://techcrunch.com/2023/11/02/sweep-aims-to-automate-basic-dev-tasks-using-large-language-models/",
        "date": "Nov 02, 2023"
      }
    ],
    "launches": [
      {
        "id": 95289,
        "title": "🧹 Sweep: Cursor Tab for JetBrains IDEs",
        "tagline": "Meet Sweep, the smartest autocomplete for IntelliJ, PyCharm, and Android Studio",
        "body": "Hi everyone! We’re [Kevin](https://x.com/kevinlu1248) and [William](https://www.linkedin.com/in/william-zeng/), and we’re building a better AI autocomplete for JetBrains.\n\n**TLDR;** [Sweep](https://sweep.dev/) is a free autocomplete plugin for IntelliJ / PyCharm that is smarter than Cursor Tab.\n\n![uploaded image](/media/?type=post&id=95289&key=user_uploads/1214046/931362f2-24b9-4d5b-aa4b-778cd98aacbc)\n\n# The Problem\n\nDevelopers writing production-grade code need tools like autocomplete that keep them in the loop rather than agents that take them out of it.\\\n\\\nJetBrains users don’t have an AI autocomplete that works well. The leading plugins are not products that users love:\n\n![uploaded image](/media/?type=post&id=95289&key=user_uploads/1214046/f78574aa-2dfe-4d58-82a5-a284b8ca1147)\n\n![uploaded image](/media/?type=post&id=95289&key=user_uploads/1214046/72d4698c-42be-404b-9d1b-9b6d9869d201)\n\n# Our Solution: Sweep 🧹\n\nWe’re building tools for professional developers using JetBrains, starting with super fast autocomplete that’s smarter than Cursor Tab.\\\n\\\nWe’ve fine-tuned our own LLM with a custom inference stack that suggests completions with sub-100ms latency. Unlike Cursor, we use the JetBrains code index to let our autocomplete model navigate your code like a real developer.\n\nWe’ve heard great feedback so far:\n\n_“AI is finally useful inside JetBrains — thanks to sweep. **A million times better than JetBrains’ own tools.**” -_ Christiaan Bilthof, CTO @ Leat\n\n_“Compared to every other tool and IDE I've used, **it's incredibly fast** - so much so that the next tab predictions and autocomplete feel instantaneous.” -_ Ashkan Aghdai, Staff Engineer @ Amplitude\\\n\\\n_“I used to have to choose between using PyCharm and good autocomplete - but with Sweep, I get both. **It’s a massive productivity boost.**”_ **-** Josiah Parappally, Staff Engineer @ Ramp\n\n## Why we built Sweep\n\nWe originally started Sweep in 2023 to build an AI junior developer, which hit 7.6k stars on GitHub.\n\nWe soon realized that this was many years out. Instead, we decided to build a coding assistant that developers could use today. Kevin and I have been JetBrains users since we were in college, and we were surprised something like this didn’t exist yet.\n\nWe built Sweep for ourselves, and use Sweep Tab hundreds of times a day to write production-grade code instead of vibe coding. It’s boosted our productivity by 2x and we hope you like it too. \\\n\\\nTry Sweep for free here: https://plugins.jetbrains.com/plugin/26860-sweep-ai-autocomplete--coding-agent",
        "url": "https://www.ycombinator.com/launches/Omv-sweep-cursor-tab-for-jetbrains-ides",
        "votes": 12,
        "created_at": "2025-11-07T17:26:45.064Z"
      },
      {
        "id": 88553,
        "title": "Sweep: JetBrains AI Coding Assistant",
        "tagline": "We built a self-hostable AI coding assistant for JetBrains IDEs",
        "body": "Hey everyone, we’re [William](https://www.linkedin.com/in/william-zeng/) and [Kevin](https://www.linkedin.com/in/kevinlu1248/) - cofounders of Sweep 🧹\n\n\\\n**TLDR**: JetBrains developers have to choose between **the latest AI features** **and the** **IDE that they love**. Sweep is an AI coding assistant purpose-built for JetBrains that **gives you both**.\n\nAsk: Is your team using JetBrains? Reach out at [william@sweep.dev](mailto:william@sweep.dev) or [book a demo here](https://calendly.com/william-sweep/introductory-call?month=2025-03).\n\n# Problem\n\nCurrent AI coding assistants have poor support for JetBrains. GitHub Copilot in JetBrains is a far cry from VSCode, and other plugins aren’t much better.\\\n\\\nWe’ve heard:\n\n_“I love the features in JetBrains as an IDE but the AI sucks”_\n\n_“I see all of these AI coding assistants on VSCode, and I check if they support JetBrains, and I always get disappointed when they don’t.”_\n\nEngineers who don’t use AI coding assistants are less productive. But engineers who have to switch away from their IDEs are even less productive.\n\n# Solution\n\nSweep makes it easy to use AI in JetBrains with our self-hostable plugin. **Engineers keep their existing code editor with no data leakage and the** **best AI features**.\\\n\\\nWe make it seamless to give the AI context. Sweep automatically sees the current file and codebase, saving you precious clicks.\n\n![uploaded image](/media/?type=post&id=88553&key=user_uploads/1214046/6211a915-8ad9-480b-8aa9-7389f4e99fbb)\n\nBy clicking “apply” you can seamlessly review and integrate Sweep’s code changes.\n\n![uploaded image](/media/?type=post&id=88553&key=user_uploads/1214046/a4ff0a2c-7b7a-48dc-9507-9785c19e0020)\n\nFinally, we can **deploy everything on-prem**, unlike other AI coding assistants that take your code and data.\n\n# Our Ask 🙏\n\n**Sweep is available on the JetBrains marketplace today.** Try us out here: [docs.sweep.dev](http://docs.sweep.dev).\\\nTo learn more about our on-prem deployments you can [book a call here](https://calendly.com/william-sweep/introductory-call?month=2025-03).\n\n# About Us\n\nWilliam (CEO) was promoted to a Senior ML Engineer at Roblox in 1.5 years. Kevin (CTO) was the top student in his class at U Waterloo for Math and CS. Martin (Founding Team) was working as a Senior Engineer before he graduated college.\n\nWe’re all big IntelliJ and PyCharm users, and we previously built an AI coding agent with >7k github stars.\n\n![uploaded image](/media/?type=post&id=88553&key=user_uploads/1214046/e0e011e5-25b6-4c72-9ecd-bd9262ee905a)\n\n![uploaded image](/media/?type=post&id=88553&key=user_uploads/1214046/85da6a03-4c5b-4961-9bd2-656ba38c4dbc)\n\n",
        "url": "https://www.ycombinator.com/launches/N2H-sweep-jetbrains-ai-coding-assistant",
        "votes": 31,
        "created_at": "2025-03-13T03:43:07.329Z"
      }
    ]
  },
  {
    "id": 29069,
    "name": "HappyRobot",
    "slug": "happyrobot",
    "former_names": [
      "Happyrobot"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/47218a3fdf0ae3764de7b6e9b0084c42bf9b6707.png",
    "website": "https://happyrobot.ai",
    "all_locations": "San Francisco, CA, USA",
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        "body": "Hey YC fam, we’re [Ohad](https://www.linkedin.com/in/ohad-navon-639b356a/) and [Nadav](https://bookface.ycombinator.com/user/1422243), founders of [Octo.](http://getocto.ai)\n\nOcto is an AI agent that actually replaces support outsourcing - it can take **actions via APIs**, read help center article, and email/chat with customers\n\nTop support teams from top 500 Amazon brands to fintech unicorns are using Octo to **replace 70% of their support team**.\n\n![uploaded image](/media/?type=post&id=74302&key=user_uploads/158086/c6c5c471-9dc6-4498-bcf5-1b750dc4e5cf)\n\n### Support teams can’t build good chatbots\n\nAfter chatting with 100+ support teams we found that support teams lack the tools to build good bots, and even simple issues like refunds are often escalated to human agents.\n\nHere’s a real screenshot from one of our customers who spent **6 months building their chatbot** (which was ultimately implemented by professional services team at Intercom!), resulting in **<15% of tickets solved.**\n\n![uploaded image](/media/?type=post&id=74302&key=user_uploads/158086/20ce41c6-b478-4173-905f-c683df59b7a7)\n\n### Octo resolves 70% of tickets instantly\n\nOcto makes it really easy to connect to the CRM, help center articles and internal systems via APIs, to instantly generate **human-level AI agents** from historical data.\n\nThere are 3 main reasons our AI agents can solve more tickets:\n\n1. **Taking actions via APIs** - based on our real-world experience about 80% of tickets require pulling customized data or take actions on behalf of customers.\n2. **Learning from past tickets** - enabling significantly higher accuracy and eliminating the frequency of AI hallucinations. Technically speaking we’ve built retrieval augmented generation that can easily generalize across customers and industries.\n3. **Multi-party conversations** - much of the work of human agents often involves tasks outside of the ticket itself like investigating delays with couriers.\n\n![uploaded image](/media/?type=post&id=74302&key=user_uploads/158086/6e027f10-fec4-4147-a7de-0232e106176e)\n\n### Built by AI Engineers\n\n![uploaded image](/media/?type=post&id=74302&key=user_uploads/158086/8c74656a-fdd0-4da0-8015-68c140cc33d4)\n\nOcto’s accuracy draws from Nadav’s experience as **Director of AI at Alibaba** where he built and launched LLMs to improve Alibaba search used by millions of consumers every day.\n\nThe idea was born when Ohad launched an AI support chatbot that took Roundforest **to $1B GMV.**\n\n### The ask\n\n* **Take Octo for a spin** - tell us what’s your most painful support use case and we’ll create a personalized demo of Octo based on your support context.\n* **Spread the love -** if you can think of other support teams that are overworked and looking to automate their customer support we’d really appreciate and introduction 🙏\n\nSounds interesting to you? Email us at [founders@getocto.ai](mailto:founders@getocto.ai)",
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    "long_description": "Foundation is the buyer experience platform for homebuilders. By bringing the new home shopping, purchase, and ownership experience online, Foundation helps homebuilders sell more homes, more profitably, to happier customers.",
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        "answer": "Our founding team met while working at Opendoor. Two of us (Derek &Luke) worked together on the partnerships team, which grew to become a major driver of customer acquisition at Opendoor, while Graham was one of the first people on the original version of Opendoor Mortgage. The Homebuilder business was Opendoor’s first partner channel AND first billion-dollar partner channel. As these builders got to know Opendoor, they’d get to know our products — and started wrapping their heads around how modern digital products could help them transform their businesses. We started Foundation to meet this growing demand."
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      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "The core problem we’re solving is that today, most of the consumer experience in homebuilding is still offline. Our buyer experience platform brings homebuilders online to help them sell more homes, at higher margins, to happier home buyers. One way to think about this is to ask a question: why do you have a better app for tracking your pizza delivery than you do for the biggest purchase of your life? Almost nobody in Silicon Valley understands homebuilding in the U.S. Just the Top 300 U.S. homebuilders — what some folks call “production builders” — build and sell >$250 BILLION (with a B) worth of homes a year, and spend $10B+ on technology, customer acquisition, and commissions. These builders don’t build homes on Sand Hill Road. But once you get outside of the Silicon Valley bubble, you learn how important homebuilding is in the U.S. Yes, it’s economically important — this is a massive corner of the American economy — but homebuilding also has huge cultural significance. Go talk to someone from Texas, or Florida, or a normal midwestern city: either they’ve thought about buying a new construction home, or their friends & family have, or they know someone who works in homebuilding."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "The U.S. is underbuilt by anywhere from 2M-6M+ homes. By helping bring homebuilding online, we help builders run better businesses — and do our small part to help get more homes built for American families. Beyond the new construction industry, we believe more broadly that the entire economy is still coming online. Parts of residential real estate have resisted this, but it’s happening. Foundation has the opportunity to become the platform for homeownership — not another search portal, but an actual digitally-native checkout and ownership experience."
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        "full_name": "Derek Schairer",
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        "id": 78242,
        "title": "Foundation: The buyer experience platform for new homes",
        "tagline": "Meet Foundation — Shopify for Homebuilders",
        "body": "### Homebuilding: A huge industry that’s still offline\n\nHomebuilding — building and selling new-construction homes — is a massive business. In the U.S., the Top 300 builders alone sell \\~$250 billion worth of homes each year.\n\nNot only is homebuilding a meaningful part of the U.S. economy, but it’s also a big part of U.S. culture (at least once you get out of Silicon Valley and NYC). In most American cities, most homeowners have either considered buying a new construction home, have already bought one, or know someone who works in or around the new construction industry.\n\nThe U.S. is also significantly underbuilt from a housing perspective — estimates suggest that we’re anywhere from 2M-6M homes short of the inventory needed to house American families. To bridge this gap, it’s going to be the big “production” builders who do much of the heavy lifting.\n\n### The opportunity: bring a massive industry online\n\nDespite how central homebuilding is to the U.S. economy & culture, large parts of the industry run almost entirely offline. After working closely with homebuilder partners for years at Opendoor, Foundation’s [founding team](https://www.linkedin.com/company/foundation-tech/) realized how big of an opportunity this is.\n\nA simple question we ask: “Why do you have an app for tracking your pizza delivery, but not one for the biggest purchase of your life?” With [the launch of Foundation’s buyer experience platform](https://buildwithfoundation.com/), this finally changes.\n\n![uploaded image](/media/?type=post&id=78242&key=user_uploads/17250/224f88b6-3d32-435a-b9c9-90fd77e1ef64)\n\nBy bringing the home purchase and ownership experience online, Foundation’s buyer experience platform helps homebuilders sell more homes, at higher margins, to happier buyers.\n\nOur first customers go live in Q1 2024, and the early response we’ve gotten — everyone from leading national builders who sell tens of thousands of homes a year, to forward-thinking, fast-growing regional and local builders — shows the tide is finally turning.",
        "url": "https://www.ycombinator.com/launches/KLy-foundation-the-buyer-experience-platform-for-new-homes",
        "votes": 16,
        "created_at": "2024-02-07T19:21:11.036Z"
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    "long_description": "Wattson Health’s AI agents connect with customers over the phone and SMS. Give us your busiest tasks and we’ll train our agents to take them off your hands.",
    "one_liner": "AI Voice and SMS Agents for Healthcare",
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        "full_name": "Justin Spitz",
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        "founder_bio": "Justin is currently the CEO & co-founder of Wattson Health (YC S23). Previous work includes Head of Ops @ Maximus, Strategy @ Google, & Analytics @ Dropbox. Outside the office, he's an avid swimmer, basketball fanatic, fantasy football commissioner, points & miles enthusiast, & spicy food addict.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/justin-spitz",
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      {
        "user_id": 10489,
        "full_name": "Cleophus Robinson IV",
        "title": "Founder",
        "founder_bio": "Cleo is currently the CTO & co-founder of Wattson Health (YC S23). Previously worked at YouTube driving engagement and satisfaction metrics for key emerging markets, shorts and gen z. At L3 he created a new driver framework for controlling devices on naval vessels. Outside of work, he enjoys being competitive in sports and games; traveling, cooking, concerts and creating music.",
        "is_active": true,
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      {
        "id": 73874,
        "title": "Wattson Health 💊 Pharmacy automation to increase RX throughput & accuracy",
        "tagline": "Connecting fragmented pharmacy systems & automating high error-prone tasks",
        "body": "**TL;DR:** [**Wattson Health**](https://www.wattsonhealth.com/)**’s automation platform integrates with pharmacies' existing systems and enables them to fill prescriptions error-free in a matter of seconds vs. hours or even days.**\n\n### **THE PROBLEM**\n\nMedication errors cost the healthcare industry $40 billion each year, the largest contributor being the manual processes employed by pharmacies. Software development within the pharmacy space has lagged behind other industries. Pharmacies are often saddled with old technology systems that don’t talk to each other. The result is a lot of duct-taped manual solutions in order to fill prescriptions. Entire teams are needed to be hired for data entry and review, costing pharmacies time and money.\n\n### **THE SOLUTION**\n\n[Wattson Health](https://www.wattsonhealth.com/)’s automation platform integrates seamlessly with existing pharmacy software to manage the “prescription lifecycle.”\n\n![uploaded image](/media/?type=post&id=73874&key=user_uploads/337920/71c08cbd-6fc0-4463-accf-f8e2da0cdb35)\n\n* As orders come in, we parse, process, and apply any **auto-curated rules** necessary to progress orders from A to Z in a matter of seconds vs. hours or even days.\n* We run in the background and provide **real-time analytics** and reports.\n* Our **bi-directional APIs** finally provide patients, doctors, and clinics with transparency into the mysterious fulfillment process.\n\n### **THE TEAM**\n\n![uploaded image](/media/?type=post&id=73874&key=user_uploads/337920/6c8b1f3f-f71d-4440-918d-d3b836399f5e)\n\nWe both lived down the hall from each other in our freshman dorm at Stanford back in 2010. Much of our early friendship focused on competitive Super Smash Bros. games (on N64 of course), so much so that we built a robust tracking app to record our matches. Over the last 13 years, we’ve remained close friends and have loved hacking on projects together.\n\n[@Justin Spitz](https://www.linkedin.com/in/justin-spitz/) spent the last 3 years as the first employee of Maximus, a telemedicine startup, scaling it from $0 to $11M in ARR. He saw first-hand how difficult it was to work with pharmacies and built internal tools to streamline operations.\n\n[@Cleophus Robinson IV](https://www.linkedin.com/in/cleor41/) spent the last 6 years at Google & YouTube designing infrastructure and pipelines to facilitate data propagation. He is an expert at building AI/ML models to influence user behavior.\n\nWith Justin’s experience working with pharmacies and Cleo’s background in data pipelines and infrastructure, we’re excited to double down on our skill sets to bring Wattson Health to life.\n\n### **THE ASK**\n\nIf you fall into one of the categories below or know anyone that does, **please reach out**, **introduce us**, or [request a demo](https://www.wattsonhealth.com/) directly on [our website](https://www.wattsonhealth.com/):\n\n* Pharmacy owners, pharmacists, pharmacy techs, etc.\n* EMR/EHR (Electronic Medical/Health Record) companies\n* Telemedicine companies / online clinics\n\nFollow us on [LinkedIn](https://www.linkedin.com/company/wattson-health/) & [𝕏 (Twitter)](https://twitter.com/WattsonHealth) to stay updated – thank you!",
        "url": "https://www.ycombinator.com/launches/JDW-wattson-health-pharmacy-automation-to-increase-rx-throughput-accuracy",
        "votes": 113,
        "created_at": "2023-08-07T18:16:22.231Z"
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  {
    "id": 29134,
    "name": "Cognitio Labs",
    "slug": "cognitio-labs",
    "former_names": [
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      "Flair",
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    "all_locations": "Los Angeles, CA, USA",
    "long_description": "CoAsync by Cognitio Labs is the AI back office for product quality compliance teams.\r\n\r\nWe help mission-critical food manufacturers automate repetitive, document-intensive workflows.\r\n\r\nWe started with Certificates of Analysis (COAs), one of the many workflows quality teams manage before products can ship. Today, this work is still performed manually across PDFs, emails, spreadsheets, and disconnected ERP systems. \r\n\r\nOther documents we help quality teams respond to 24x7 include supplier audit questionnaires, production schedules, lab reports & changes in product specifications and quality records.\r\n\r\nCoAsync automates the workflow by:\r\n\r\nReading supplier documents\r\nExtracting laboratory data\r\nValidating product specifications\r\nApplying compliance requirements\r\nDrafting compliant COAs\r\nOrganizing audit-ready documentation\r\n\r\nResults from one of our initial deployments with a mid-market food processor:\r\n\r\n85% less QA administrative work\r\n4× more COAs processed per shift\r\n1-2 hours saved per document\r\nNew product onboarding in under one day\r\n\r\nCOAs are just the beginning. Our vision is to build the AI back office for product quality and compliance across regulated industries by automating the many document-intensive workflows manufacturers manage every day.\r\n\r\nBacked by Y Combinator and leading investors. Founder Diva Avaya Sharma has presented example AI workflows for product quality and compliance through the World Economic Forum Centre for Advanced Manufacturing and Supply Chains' SmartStart initiative and at the International Telecommunication Union's AI for Good Global Summit, organized in partnership with the United Nations.\r\n\r\nKnow a company shipping food & product urgently? Help them get started with their own document workflows at https://cognitioiq.com",
    "one_liner": "AI back office for food product quality teams",
    "team_size": 3,
    "industry": "Industrials",
    "subindustry": "Industrials",
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    "year_founded": 2025,
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        "full_name": "Diva Avaya Sharma",
        "title": "Founder",
        "founder_bio": "Diva is the founder of Cognitio Labs (former Flair telehealth) and inventor of a patented remote patient monitoring device. Previous companies & projects at Ancestry.com, Facebook, Johnson & Johnson, and the Stanford School of Medicine. Alum: Stanford University (Bachelors)",
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      {
        "id": 109669,
        "title": "Cognitio Labs -  the AI Back Office for Product Quality Teams",
        "tagline": "CoAsync by Cognitio Labs, the AI back office for product quality teams.",
        "body": "CoAsync by Cognitio Labs, the AI back office for product quality teams.\n\n<https://youtu.be/IvQ1RtQ3280?si=oq-kHI5nO5iWeoji>\n\nCertificates of Analysis are one of the sources of documentation clogging food and consumer product shipments today. Every day, millions of dollars of product sit waiting to ship because paperwork isn't ready to certify it is safe.\n\nBefore food can leave a facility, quality teams review supplier documents, lab reports, product specs, and regulatory requirements to produce a COA, the document certifying a product is safe, meets quality standards, and complies with destination-country rules. That still happens across PDFs, emails, spreadsheets, and disconnected ERPs, and a single COA can take hours.\n\nCoAsync ingests supplier documents, extracts lab data, validates specifications, applies country-specific compliance requirements, and drafts audit-ready COAs, keeping quality teams in control at every step.\n\n![uploaded image](/media/?type=post&id=109669&key=user_uploads/339188/d089cbb5-ccba-49ee-a89b-29f4ad88253f)\n\n\nResults: A Fresno-based dry fruit manufacturer cut COA processing from 8 hrs/week to under 1 hr in a six-week deployment, an 85% drop in QA admin work. A California fig grower now processes 4x more COAs per shift, saving 1 to 2 hours per document, and onboarded in under a day.\n\n![uploaded image](/media/?type=post&id=109669&key=user_uploads/339188/c9de609b-22b8-4634-a6d0-47768cd58e52)\n\n\nWe're starting with food, one of the most document-intensive, regulated supply chains in the world, building toward an AI operating system for safety and quality across consumer products adoption.\n\nOur founder @[Diva Avaya Sharma](https://www.linkedin.com/in/diva-sharma/) presented on critical supply chains adopting artificial intelligence tools at the World Economic Forum's SmartStart Manufacturing Initiative Initiative and the AI for Good Global Summit (International Telecommunications x United Nations).\n\nIf you know a food, consumer products, or ingredients manufacturer buried in paperwork overload, we welcome an introduction: <https://www.cognitioiq.com/contact>.\n\n![uploaded image](/media/?type=post&id=109669&key=user_uploads/339188/7e9b5cea-da52-47c8-b61a-c419b89e02bf)\n\n\n#YCLaunch #FoodTech #SupplyChain #AI #FoodSafety",
        "url": "https://www.ycombinator.com/launches/SWr-cognitio-labs-the-ai-back-office-for-product-quality-teams",
        "votes": 2,
        "created_at": "2026-08-07T17:12:02.313Z"
      },
      {
        "id": 104819,
        "title": "Cognitio Labs: The AI back office for Food & Product Quality",
        "tagline": "The AI back office for Food & Product Quality",
        "body": "[Cognitio Labs ](https://cognitioiq.com/)is building CoAsync, the AI back office for product quality teams. We started with one of food's most document-intensive workflows: the Certificate of Analysis.\n\n85% less QA admin time. 4× more COAs per shift. New products onboarded in under a day.\n\nEvery day, millions of dollars of food sit waiting to ship because the paperwork isn't ready.\n\nBefore food can leave a facility, quality teams manually review supplier documents, lab reports, product specifications, and regulatory requirements to produce a Certificate of Analysis (COA). It's just one of dozens of document-heavy workflows quality teams manage every day.\n\nToday, that work still happens across PDFs, emails, spreadsheets, and disconnected ERP systems. A single COA can take hours.\n\nOver a six-week deployment, the manufacturer reduced COA processing time from 8 hours per week to under 1 hour, centralized supplier documentation, and dramatically improved audit readiness. The result was an 85% reduction in QA administrative work.\n\nCoAsync ingests supplier documents, extracts lab data, validates specifications, applies country-specific compliance requirements, drafts compliant COAs, and prepares audit-ready documentation while keeping quality teams in control at every step.\n\nWe're starting with food because it's one of the most document-intensive, highly regulated supply chains in the world. Our vision is to build the AI back office for product quality and compliance across every regulated industry.\n\nThis summer, our founder [Diva Avaya Sharma](https://linkedin.com/in/diva-sharma) is presenting example AI workflows for product quality and compliance through the World Economic Forum Centre for Advanced Manufacturing and Supply Chains’ SmartStart initiative and at the AI for Good Global Summit, organized by the International Telecommunication Union (ITU) in partnership with the United Nations. These examples explore how AI can reduce repetitive documentation, strengthen compliance, and support the next generation of quality, manufacturing, and supply chain professionals.\n\nAre you a food quality manufacturer or processor ready to see CoAsync on your own products? Upload a supplier document, a sample lab report, and a historical COA, and watch your quality workflow automate in minutes on <https://cognitioiq.com>",
        "url": "https://www.ycombinator.com/launches/RGd-cognitio-labs-the-ai-back-office-for-food-product-quality",
        "votes": 3,
        "created_at": "2026-07-06T15:52:02.427Z"
      },
      {
        "id": 99119,
        "title": "Cognitio Labs – Real-time food traceability for safety and compliance",
        "tagline": "Automating real-time food traceability for FDA compliance",
        "body": "[Cognitio Labs](https://cognitioiq.com) is an applied AI research lab building real-time compliance infrastructure for regulated supply chains, serving as the first line of defense against recalls and regulatory failure.\n\nView our launch video at: [**https://youtu.be/iFD6vxaS0eY**](https://youtu.be/iFD6vxaS0eY)\n\nWhen a food contamination event happens, time is everything. If traceability takes days instead of hours, entire product categories get destroyed, brands lose trust, and recalls cost $10M to $100M+.\n\nYet today, most operators still rely on spreadsheets, PDFs, and manual logs. Traceability data is fragmented across facilities, systems, and partners, and critical events like temperature, handling, and lot transformations are not automatically captured or standardized. As a result, generating accurate, regulator-ready records is slow, manual, and error-prone.\n\n**Why now:** The FDA’s [FSMA 204 rule](https://www.fda.gov/food/food-safety-modernization-act-fsma/fsma-final-rule-requirements-additional-traceability-records-certain-foods) requires companies to produce standardized, lot-level digital traceability records within 24 hours by 2028, impacting over 60,000 U.S. food facilities. The regulatory bar is rising, but the infrastructure to meet it requires improvement.\n\nWe are building that infrastructure.\n\nOur system uses sensors and AI to automatically capture key events such as temperature, humidity, handling, and lot-level movements across production, storage, and transit. We convert fragmented operational data into standardized, FSMA 204-compliant traceability records and generate regulator-ready reports in real time.\n\nCompliance is generated as operations happen, not after.\n\nThis becomes the first line of defense by enabling faster recalls, reducing spoilage, eliminating manual compliance work, and protecting contracts, insurance coverage, and brand equity. Avoiding even one major recall can save $10 million to over $100 million.\n\nCognitio Labs was founded by [Diva Avaya Sharma](https://www.linkedin.com/in/diva-sharma/), a Stanford-trained technologist who previously built a patented remote patient monitoring system integrating sensors and machine learning in regulated healthcare environments, recognized by global development institutions and national innovation programs.\n\nWe are starting with food and expanding into other regulated, high-risk supply chains.\n\nLearn more at [**cognitioiq.com**](http://cognitioiq.com).\n\nFollow our Linkedin Page [**here**](https://www.linkedin.com/company/110755112/)**.**",
        "url": "https://www.ycombinator.com/launches/Pmh-cognitio-labs-real-time-food-traceability-for-safety-and-compliance",
        "votes": 11,
        "created_at": "2026-03-26T19:07:46.555Z"
      }
    ]
  },
  {
    "id": 29155,
    "name": "jo",
    "slug": "jo",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9c7f687c3a57d8f3b931f1e760657237991cb95.png",
    "website": "https://askjo.ai",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "jo is a personal AI agent that keeps up with your work and life, surfaces what matters, and helps you follow through. It remembers relevant context, works proactively, and supports recurring workflows through autopilot while keeping you in control.",
    "one_liner": "The personal AI agent that keeps up with your work and life.",
    "team_size": 2,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1734654585,
    "tags": [
      "Consumer",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "Consumer"
    ],
    "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 the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "jo is a personal AI agent for people who want help keeping up with work and life.\r\n\r\njo connects relevant context from conversations, Gmail, Google Calendar, Google Drive, contacts, messages, browser activity, and the Mac when users enable those sources. It uses that context to answer questions, produce daily briefings, surface reminders and follow-ups, keep projects warm, and support recurring workflows through autopilot.\r\n\r\nUnlike a chatbot that starts fresh with every conversation, jo maintains context over time. It can work proactively, but it does not give itself unlimited authority over a user's accounts. Summaries and briefings can run automatically when configured. Sending messages, changing calendars, making purchases, sharing private information, and other consequential actions require user approval.\r\n\r\njo is available on Mac and the web. The Mac app requires Apple Silicon. People can also use the same jo account and memory through mobile web, Telegram, and WhatsApp. Native mobile apps are planned but are not available yet.\r\n\r\njo is private by design. Each user has isolated cloud infrastructure and storage where applicable. Relevant information is sent to jo's services and the selected model provider only when a request or enabled feature needs it. jo uses model-provider endpoints and terms designed for zero retention or equivalent no-retention and no-training treatment. jo does not train AI models on users' raw communications, Google Workspace content, screen context, or voice data.\r\n\r\njo is generally available with no waitlist. It supports individuals and families. Each family member has a separate private jo, memory, boundaries, cloud machine, and storage, with controlled sharing for coordination."
      }
    ],
    "url": "https://www.ycombinator.com/companies/jo",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/jo.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/askjoai",
    "x_url": "https://www.x.com/askjoai",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/jo-inc",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9c7f687c3a57d8f3b931f1e760657237991cb95.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 133,
        "full_name": "Pradeep Elankumaran",
        "title": "Founder/CEO",
        "founder_bio": "I work on consumer companies.\nCo-founded: jo (w24), farmstead (s16), kicksend (s11)\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/pradeepelankumaran",
        "x_url": "https://www.twitter.com/pradeep24",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/08e83c41529ff2af41840a951f6b28fb5ac91835.jpg"
      },
      {
        "user_id": 132452,
        "full_name": "Kevin Li",
        "title": "Founder/CMO",
        "founder_bio": "ex-CMO @ jo (YC W24), Co-Founder @ Farmstead (YC S16), intern @ Kabam. 🟤 in judo, love gymnastics rings, and video games 🎮",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/liveink",
        "x_url": "https://twitter.com/liveink",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ddec76792417d020b389df200be0d7a575a5baf.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 98307,
        "title": "jo 1.0 - a personal AI that actually knows you",
        "tagline": "Less \"chatbot\" and more \"a second brain that does things.\"",
        "body": "**Update:** jo is now generally available on Mac and the web, with no waitlist. It keeps up with your work and life, maintains useful context over time, produces proactive briefings, and supports recurring workflows through autopilot. Family support is available today, while native mobile apps remain planned. See the current product at [askjo.ai](http://askjo.ai).\\\n\\\n====\\\n\\\n**TL;DR -** [jo](https://askjo.ai) is a personal AI that runs on your Mac and a private cloud machine we host for you. It knows your life, improves itself autonomously, chats via  Telegram and WhatsApp, and never shares your data. Less \"chatbot\" and more \"a second brain that does things.\"\n\n<https://youtu.be/7u6vxYF44rI>\n\nHey YC! We're [Kevin](https://www.linkedin.com/in/liveink/) and [Pradeep](https://www.linkedin.com/in/pradeepelankumaran/), co-founders for a decade and consumer builders since the mid-2000s. For the last few years, we’ve iterated on an experience that’s zero compromise. It’s easy to use and gives consumers control over their privacy. \n\n🧠 **jo knows you.** jo improves over time as it learns your preferences, kids' schedules, travel habits, and work context. It reviews its own notes nightly and gets better as you use it. We’ve found the continuity over time to be immensely useful.\n\n🏠 **Your machine, your data.** Every jo macOS desktop app user also gets a dedicated cloud machine and storage. Personal data (photos, local files) never leaves your Mac without approval. Powerful cloud inference runs the best available models (OpenAI, Anthropic, Grok, Kimi with more on the way) on top of cloud providers that are barred from training on your data. \n\n⚡ **10x faster, everywhere you already are.** Voice on your Mac. Text &amp; voice on  Telegram and Whatsapp. Consistent  memory and personality, 24/7.\n\n**What it does**\n\n* On your Mac, jo notices your browsing patterns and group chats, then clips related content (runs locally, doesn’t leave your Mac).\n* Sends morning briefings with weather, calendar, and reminders pulled from Gmail and Google Calendar, continuing on from where you left off the night before.\n* Controls a real browser with anti-fingerprinting and a high success rate to check availability, compare prices, and research.\n* Searches across every messaging platform conversation(including groups) and email to find things you've forgotten.\n* Runs background automations you set once: \"Every Thursday, send me a ideas for what to do this weekend\"\n* jo will not send emails or messages, but will draft and suggest your emails (Gmail).\n\n \n\n## **The self-organizing digital you**\n\n* Unlike other AI assistants, jo self improves to maximize  usefulness and fun.\n* Scan back as many months of your browser and messenger history as you want for jo to work with. \n* Scheduled and autonomous recurring work compounds data and preferences, all stored on machines you have access to with strict exfil policies.\n\n \n\n👉 **Sign up for the beta:[ ](https://askjo.ai/signup)[askjo.ai](http://askjo.ai)** (first 100 people skip the onboarding and can download ASAP)\n\n**Other things jo does**\n\n* Find Warriors v Lakers game tomorrow from my email, go on stubhub for tickets, pronounce them expensive, and suggest hockey games instead for that weekend to take a 9yo to.\n* Keep an eye on the “No Priors” podcast every day and send summaries in a specific format whenever there’s a new episode.\n* Mentioned a topic from a friend inside a group chat, found and did deep research on the topic when asked later. \n* Scanned all Gmail receipts and learned a bunch of facts about our families’ preferences, guessed which family members each one applied to and used it for later gift selection.\n* Get the guest list from a Partiful invite in my messages\n* Built a profile of what we like to read and send us recommendations on a schedule\n* Import your OpenClaw folder and settings\n\n## **Coming soon**\n\nNative mobile app, multiplayer (shared family/team assistants), trusted purchases, grocery shopping.\n\n**Built on open-source roots.** We stand on the shoulders of giants and contribute back.\n\n👉 **Sign up for the beta:[ ](https://askjo.ai/signup)[askjo.ai](http://askjo.ai)** (first 100 people skip the onboarding and can download ASAP)\n\nPlease share your feedback. Ask us anything.\n\n![uploaded image](/media/?type=post&id=98307&key=user_uploads/132452/8512374f-304f-422e-b56b-4fd9bf572d29)\n\n",
        "url": "https://www.ycombinator.com/launches/PZb-jo-1-0-a-personal-ai-that-actually-knows-you",
        "votes": 90,
        "created_at": "2026-03-01T22:00:59.828Z"
      },
      {
        "id": 86433,
        "title": "jo: Your macOS Productivity Sidekick",
        "tagline": "The personal AI agent that keeps up with your work and life.",
        "body": "**Update:** jo is now generally available on Mac and the web, with no waitlist. It keeps up with your work and life, maintains useful context over time, produces proactive briefings, and supports recurring workflows through autopilot. Family support is available today, while native mobile apps remain planned. See the current product at [askjo.ai](http://askjo.ai).\\\n\\\n————————————\\\n\\\njo is a voice-first digital personality that works alongside you every day – a smart and efficient new friend who saves you time and money while improving your quality of life.\n\nAs of now, jo runs only on macOS desktop, and only on Apple Silicon. [Sign up for the waitlist here.](https://askjo.ai)\n\n<https://youtu.be/Vat9_5nX92w>\n\n# **What Makes jo Special?**\n\n_JARVIS_ and _Samantha_ are assistant archetypes created within the scarcity mindset of an obsolete age. Instead of waiting for you to ask, jo helps you proactively at the edge.\n\nAlways a ‘hey jo’ or ‘⌘-j’ away, jo works _alongside_ you, helping with the low stakes but high frequency actions that make up the high stakes ones - keystrokes, taps, speech and screen. A new type of assistance for a new age.\n\njo’s built on top of a set of local and remote LLMs, vector storage and tight audio/network macOS native desktop code that unlock a new set of composable primitives for how humans interact with AI efficiently.\n\nIn practice, jo gets you halfway to most of the way there for common workflows, building user trust for its next phase of development where we push towards autonomous completion of high stakes / low frequency projects.\n\n* **Speak or type to jo, it will speak and type back** – latencies are low enough that you can lean on jo all day as AI on your side that works hard for you.\n* **Ask jo to run pre-filled, custom-integrated searches to get info in seconds**\n  * “pull up facebook marketplace to buy a new kettlebell and pull up videos of starter workouts on youtube”\n  * “search flights to new orleans next weekend for 3 people”\n  * “Arcane on netflix”\n  * “new backpack under $100 on amazon”\n  * “draft an email to city of sf asking for reimbursement on pothole”\n  * “find the email from amazon where i bought the white table”\n* **jo's \"Live Summary\" follows your browsing around and summarizes the three key points of anything you read, rapidly refreshing with each page change.** \n  * Generated using local LLMs that will be upgraded quarterly\n  * You can also preview links in your browser ‘Arc’-style by pressing ⌘ while hovering over them.\n\n![uploaded image](/media/?type=post&id=86433&key=user_uploads/133/4f2180f8-53ca-4bc2-b7e2-03467bb603fc)\n\n* **jo syncs on the backend with both work &amp; personal Google Calendars to help you manage your time better.**\n  * Finds open slots, and helps you plan your day effortlessly.\n  * _“Hey jo, find time for lunch with Sarah next week.”_ Done.\n  * jo also groups proposed meeting slots smartly with existing meetings to increase long blocks of non-meeting time.\n\n![uploaded image](/media/?type=post&id=86433&key=user_uploads/133/7a0716b3-74a9-4390-97ba-93d54ffda7c3)\n\n* **jo remembers** choice information privately across many facets, uses that on every interaction to build a better picture of you, and actually attempts to be better (with your feedback).\n* jo is also **connected to a curated set of the big cloud LLMs** that you know and love, with comparable and controllable data access. Raw horsepower is available by default.\n* jo has a redundant architecture across LLMs, TTS and STT. As local and remote models improve in capability, **jo will inherit new abilities rapidly** as we build trust &amp; tech towards truly agentic behavior\n\n[Sign up for the waitlist here >](https://askjo.ai). We are sending invites out every day.\n\n![uploaded image](/media/?type=post&id=86433&key=user_uploads/132452/c4be1773-a13c-49f2-be9a-722bd1262175)\n\n# **Why jo Feels Different**\n\n* **Natural and intuitive.** You actually talk to jo like you would a friend. No weird commands to memorize or crazy prompt engineering. No switching models.\n* **Ridiculously fast.** jo works as fast as you can speak. Summaries, browser tasks, calendar checks—it’s all instant since we built the app using native Swift for Apple Silicon and have spent weeks cutting latency across multiple integrated systems.\n* **No distractions.** jo’s got a clean, focused interface that keeps you in flow state.\n\n# **Designed For Composability**\n\njo’s new usability primitives are concise distillations of learnings over the course of a year from preview versions of jo on telegram mobile, group chat experiences, single-player experiences and now macOS desktop.\n\n1. \\*\\*\"Fast comms\"\\*\\*\\\n   We speak faster than we type. We can read faster than we can listen. jo uses text and audio in/out, in parallel. Get the gist by listening, get the rest by reading.\n2. \\*\\*\"Async execution\"\\*\\*\\\n   jo works _alongside_ you, not blocking your work loop. Handoff stuff for jo to do. If you're an engineer, it’s like spinning up many new Actors for your life.\n3. \\*\\*\"Work before I get to it\"\\*\\*\\\n   jo kicks things off for you before you expend more cognitive effort. Start with the gist, then review the main points, then read the details.\n4. \\*\\*\"Save the important\"\\*\\*\\\n   jo captures choice information privately in many facets, uses that on every interaction to build a better picture of you, and actually attempts to be better with your feedback.\n5. \\*\\*\"Be my agent\"\\*\\*\\\n   jo pushes new info you care about to you, and reaches out on your behalf.\n\nChainable primitives like these wind up being compelling when they're composed into your ad hoc demands. \n\nUsing these primitives is the first step to building daily trust for true “agency”, where jo can execute high stakes goals (ex: organize and pay for expensive things, or draft and send critical emails). \n\nWhile it’s possible even now to “close the loop” with high stakes projects (for example jo sending an email or paying for a flight), we realized the trust building required needs a path, which is the true blocker.\n\n# **New Things You Can Do With jo**\n\n**Improve a low-stakes/high-frequency pattern you may do every day**\\\n“read hacker news” — With jo, you can now command-hover using jo over every interesting link in the list, getting an exec summary inline. Since this type of reading is usually ritualized behavior, jo will prioritize helping you process more info vs saving time. Soon, you can \"clip\" a live summary to save for later.\n\n**Start off a high-stakes, low-frequency request:** \\\n_\"find me a free weekend in the next month and show me new york flights\"_ — jo's connected to both your work &amp; personal calendars and will run this search using google APIs, find the open weekends, and then pull up google flights in your browser with all the relevant info pre-filled. It's faster than you at this and you can chain more steps.\n\n**Complicated ad hoc requests:** \\\n_\"will i see a good sunset tonight in pacifica, and where can i eat after?\"_  — jo will use a pre-connected weather API, find temp and visibility, construct the answer, and will likely present the awesome Taco Bell on the beach as one of the places to eat without opening any browsers.\n\nWe are working towards jo being able to ambiently push you showtimes for this weekend for the new Ghibli movie because it knows (with your permission) that you and your 7yo like watching them together.\n\n## **Engineering at jo**\n\nBuilding jo is an ongoing systems engineering and LLM application/design challenge. We believe latency and quality trumps all for daily-use products like jo and are obsessed with improving both every single day. We’re just now scratching the surface and are sanding down the rough edges with this preview release. We’d love your help with unraveling any unexpected behavior you see.\n\nWe ship very fast with very small, very tight teams. Reach out if you:\n\n* Are a very senior macOS / iOS engineer AND/OR\n* Understand the nuances of fine-tuning local models\n\n# **FAQ**\n\n* **How do I try jo?**\n  * [Waitlist is here >](https://askjo.ai)\n  * We are sending invites every day. First come, first served.\n* **Why a waitlist?**\n  * To ensure our systems keep up with the scale and usage.\n  * To find and fix any bugs.\n  * To listen to our early adopters and build.\n* **How does jo use LLMs?**\n  * We run remote large models on Azure with contracts requiring no data sharing.\n  * We run local small models on your machine for just the “live summary” feature (as of now).\n* **How do you save &amp; share my data?**\n  * We use hosted Postgres and a local vector data store running on our servers. \n  * We send text to remote LLMs that are run on Azure, with “no data sharing” protections in place.\n  * In our preview period, we’re using 3P audio transcribers and synthesizers, and you are also subject to their (sometimes changing) policies. More details upon request, and we are working to stabilize this.\n* **Hardware specs needed?**\n  * Any Mac with a “M” chip\n    * M2+ works best\n    * M1 works fine but live summaries are a touch slower\n  * At least 8GB shared RAM, more the better.\n* **Will there be mobile apps?**\n  * Yes, shortly.\n  * They will have similar functionality but will most likely start with just remote LLMs.\n* **Is my mic on all the time?**\n  * No, only when you turn it on manually.\n  * If you opt-in to the “hey jo” feature – if and only if jo’s mic is enabled, the system mic will remain on listening for the “hey jo” voice trigger\n* **Can I turn off ‘hey jo’?**\n  * Yes. jo will still activate when you press ‘⌘-j’\n* **Can I use jo with just a chat window and turn off all audio?**\n  * Yup, if you prefer. You can turn the audio input and audio output together and individually, on/off\n* **Is jo always watching my screen?**\n  * No. Once you enable live summaries and active screen sharing, jo will only have access to the frontmost window on your desktop.\n  * When this feature is turned off, no screen content is transmitted or processed.\n  * Any screen that’s being cached remotely expires after 10 minutes.\n* **Why pre-filled searches and not running the searches yourself?**\n  * Faster, chainable, more relevant, more control on the user’s side\n* **Can I get more detailed summaries than the short “live summary”?**\n  * Yes, you can ask further questions of jo about any browser window/tab or (for now) select apps we support.\n* **Can I get my favorite local model to be the jo LLM?**\n  * Not yet, but soon.\n* **Are you working on a local-only jo?**\n  * That’s privileged info.\n* **How much does jo cost?**\n  * jo is free to use during the preview period for the next 3 months.\n  * More pricing details in early 2025.\n\n**Team**\n\njo was created by [Pradeep Elankumaran](https://www.linkedin.com/in/pradeepelankumaran) &amp; [Kevin Li](https://www.linkedin.com/in/liveink/). We’ve been building consumer products for over a decade now. We love applying technology to unlock sustainable unit economic structures that improve the lives of every person in the world. \n\n**Available now for macOS. Join the waitlist on the site to get access today.**\n\n[Join the waitlist >](https://askjo.ai)",
        "url": "https://www.ycombinator.com/launches/MU5-jo-your-macos-productivity-sidekick",
        "votes": 51,
        "created_at": "2024-12-20T00:46:51.367Z"
      }
    ]
  },
  {
    "id": 29189,
    "name": "RadMate AI",
    "slug": "radmate-ai",
    "former_names": [
      "RadMate"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c98f937de28a21f554069f7c5f1175449869819.png",
    "website": "https://www.radmate.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We’re building the AI copilot for radiologists, powered by a foundational model for medical imaging. RadMate AI will read radiology images and generate full reports for radiologists to review and submit.\r\n\r\nMohamed and Adam are technical co-founders who met while studying Computer Science at Cornell University. Before starting RadMate AI to solve the problems his dad faced as a radiologist, Adam worked at Palantir on the initial launch of Palantir’s Al Platform. Mohamed has experience at AWS, where his goal was to help enterprises innovate on the cloud, and PathAl, where he worked on their image viewer platform to improve the workflow of pathologists. ",
    "one_liner": "Copilot for radiologists",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1706569110,
    "tags": [
      "SaaS",
      "Digital Health",
      "Enterprise Software",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Inactive",
    "industries": [
      "Healthcare"
    ],
    "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/radmate-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/radmate-ai.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/radmate-ai",
    "x_url": "",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c98f937de28a21f554069f7c5f1175449869819.png",
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    "founders": [
      {
        "user_id": 1268119,
        "full_name": "Mohamed Khalifa",
        "title": "Founder",
        "founder_bio": "Cofounder & CEO of RadMate AI. Cornell University Alumni. Worked at Amazon Web Services as a Customer Solutions Manager. In this role, I played a pivotal part in assisting customers with their migration to and innovation on the cloud. Following this, I joined PathAI as a Software Engineer, a Biotech company at the forefront of integrating AI into pathology. ",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/mohamed-taha-khalifa",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/68ede46af83132984c874b91c6bccbe6bf6cb2c7.jpg"
      },
      {
        "user_id": 1246346,
        "full_name": "Adam Skrocki",
        "title": "Founder",
        "founder_bio": "Cofounder and CTO of RadMate AI. Before starting RadMate AI, I graduated Cornell with a computer science degree and worked at Palantir as a software engineer on the AI Platform. ",
        "is_active": false,
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        "title": "⚡️ RadMate AI: The AI copilot for radiologists",
        "tagline": "We help radiologists dictate error-free reports with 30% fewer words.  ",
        "body": "Hey everyone - [Mohamed Khalifa](https://linkedin.com/in/mohamed-taha-khalifa) and [Adam Skrocki](https://linkedin.com/in/adamskrocki) here!☀️\n\n_TL;DR: We’re building the AI copilot for radiologists. While reading images, we allow radiologists to dictate what they see, and _[_RadMate AI_](https://www.radmate.ai/)_ will generate and proofread reports for them._\n\n# The problem\n\nRadiologists spend most of their day reading patient images and dictating reports based on the images. As patient access to imaging continues to rise, radiologists face escalating pressure to produce detailed reports quickly.\n\nHowever, the software they use hasn’t changed in over a decade, so radiologists are no longer well-equipped to meet rising demand.\n\n1. Radiologists dictate over 30% more words than they need to, which can lead to fewer reports, [burnout](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618688/#:\\~:text=It%20was%20reported%20that%2054,exhibit%20burnout%20symptoms%20%5B23%5D), and lower quality reporting.\n2. Over [20% of radiology reports](https://www.gehealthcare.com/insights/article/improving-accuracy-in-radiology-images-and-reports#:\\~:text=Inaccurate%20diagnostic%20radiology%20results%20can,contain%20some%20sort%20of%20error) have errors in them. Which can lead to treatment delays, poor outcomes, higher healthcare costs, lost revenue, and operational inefficiencies.\n\n# Our solution\n\nLLMs provide an opportunity to revamp the way radiologists report. We’ve created a platform with an AI copilot that decreases stress on radiologists and increases accuracy by:\n\n1. Minimizing the words radiologists have to say.\n2. Reducing the number of clicks required for report generation.\n3. Proofreading reports to reduce errors.\n\n# The founding team\n\nMohamed and Adam are technical co-founders who met while studying Computer Science at Cornell University. Before starting RadMate AI to solve the problems his dad faced as a radiologist, Adam worked at Palantir on the initial launch of Palantir’s Al Platform. Mohamed has experience at AWS, where his goal was to help enterprises innovate on the cloud, and PathAl, where he built software to improve pathology. We’re excited to take our engineering expertise and our personal ties to healthcare to address the issues radiologists face today.\n\n![uploaded image](/media/?type=post&id=78039&key=user_uploads/1246346/01e3c7a0-b2c8-4457-bb2a-8ba10df25751)\n\n# Our ask 🙏\n\nIf you're a radiologist or know of any, we'd love to connect at [founders@radmate.ai](mailto:founders@radmate.ai)!",
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        "title": "HeyPurple: An AI leasing assistant for landlords and property managers",
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        "body": "Hey everyone – [Ryan](https://www.linkedin.com/in/ryan-ali/), [Josh](https://www.linkedin.com/in/joshua-passell-37939a152/), and [Adi](https://linkedin.com/in/aditya-ganapathi) here!\n\n**Tldr:** \n\nWe’re building [Purple](https://www.heypurple.ai/), an AI leasing assistant for landlords and property management companies. Our customizable AI answers questions directly from your listings and books prospective tenants for tours after only 10 minutes of coaching via chat.\n\n**Problem:**\n\nProperty managers deal with the pain of manually messaging prospective tenants around the clock in order to fill their vacancies. The questions are often repetitive and can come at any hour of the day through multiple channels (SMS, email, Facebook Messenger), adding overhead to their already busy schedule. However, responding to leads instantly is critical to convert quality leads in competitive rental markets.\n\nBig PM companies solve this problem by using structured leasing processes that take advantage of their standardized offerings and policies (i.e. similar floor plans, flexible tour scheduling with on-site leasing offices, etc.). SMBs who run a scrappier business and can’t pay for custom software are left without a solution – we noticed this when we saw a mom & pop PM company we’re working with respond to hundreds of inquiries per week (they even hired a VA to help with the load).\n\n**Solution:**\n\nWe provide a customizable AI leasing assistant that responds to every property inquiry and books prospective tenants for tours.\n\nLLMs and Generative AI provide a critical layer of intelligence required to quickly set up customized leasing assistants for SMBs. Our AI will:\n\n1. Learn about your properties and policies by scraping your data (website, listings, etc.)\n2. Customize the style/flow of its responses through a quick conversation \n3. Answer prospective tenant questions 24/7 and will check with a human when unsure about how to answer\n4. Sync with your calendar and book prospective tenants for a tour\n\n![uploaded image](/media/?type=post&id=78171&key=user_uploads/1194190/3e938368-7c6d-4d89-b9e4-3d259a8df6af)\n\n**Founding Team:**\n\n* Josh & Adi grew up together in Palo Alto and have been drinking the startup Kool-Aid for a long time, while Josh and Ryan met and became friends on their first day at Cornell in an economics class\n* Before YC, we worked on a few different projects together – our first was an AI video dubbing tool. Our second was PurplePill, which used AI to automate selling your goods (sold over $25k of goods)\n* After seeing the growing number of small businesses listing rentals on Facebook Marketplace, we realized an opportunity to help solve a larger problem which led us to what we’re working on today!\n\n![uploaded image](/media/?type=post&id=78171&key=user_uploads/1194190/6def6d14-88b6-43c7-8006-e241254447de)\n\n**Broader vision and why now:**\n\nWhile we’re starting with leasing, our ultimate goal is to equip all types of small business owners with AI virtual employees that can help with everything from digital marketing and sales to customer service and operations. With over 30M small businesses in the U.S. alone, one-size-fits-all software was never going to cut it – we’re creating the AI-first Operating System for SMBs. \n\n**Our Ask:**\n\nWe would love an intro to your property manager or to chat if you’re interested in what we’re building! Please feel free to contact us at founders@purplepill.ai.",
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        "created_at": "2024-02-05T20:22:50.280Z"
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    "long_description": "Nuanced is a desktop app for building software. \r\n\r\nAgents help developers turn rough ideas into clear specs, then stay connected to the work as agents build.",
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        "id": 78200,
        "title": "🚀 Nuanced — Detect AI-generated images",
        "tagline": "We help companies like dating apps, ad platforms, news sites, and marketplaces distinguish human-authored materials from AI-generated content. ",
        "body": "Hi, We’re [Ayman](https://linkedin.com/in/aymannadeem) and [Dylan](https://linkedin.com/in/dylan-drover), co-founders of [Nuanced](https://www.nuanced.dev/). \n\n**TL;DR:** Nuanced detects AI-generated images. We help companies like dating apps, ad platforms, news sites, and marketplaces distinguish human-authored materials from AI-generated content. \n\n![](https://lh7-us.googleusercontent.com/L399NC0PSyrui-w5rRnJiBPSd_V0eoiaQKJcDB291blx6uiGn9NdkJA8ByQGESJXSJNsMFmZ_AmRodnNG9sygxAP3dPKKCk7o7DKhkTpoVOeVj4SchRZixQPmXJw7pLX4C0sMTwpD-U-zHVPZ7GDmd8)\n\n# \n\n# **We’re solving the authenticity crisis**\n\nNo one wants to lose users because of fake AI content. Consumers lose trust in a platform flooded with AI-generated content, risking churn and reputational damage.\n\nAs AI-generated content surges, distinguishing it from human-made material becomes vital for trust and authenticity. Existing detection technologies fall short, resulting in a $78B annual deepfake expense, and amplify growing problems such as misinformation and identity verification. \n\nOur solution has three parts: \n\n1. Easy integration via our [API](https://nuanced.stoplight.io/docs/nuanced-api/4l8bca59wmrl5-nuanced-api). \n2. Privacy-first, [custom zero PII models](https://blog.nuanced.dev/blog/2024/01/07/the-glossily-rendered-elephant-in-the-room-or-why-we-are-building-our-own-models/). \n3. Staying ahead of [AI-generated threats](https://blog.nuanced.dev/blog/2023/11/05/how-generative-ai-has-transformed-the-online-spam-and-abuse-landscape/) with our dedicated research team.\n\nWith Nuanced, you’ll never have to compromise user privacy, build costly internal systems, or take on complex integrations.\n\n# **How it works**\n\nNuanced provides a service that identifies AI-generated image content. Our models are trained on a wide array of architectures, such as Dalle-3, Midjourney, and SDXL, with continuous integration of data from the latest AI image generators. As AI-generated images evolve, so do we.\n\n![](https://lh7-us.googleusercontent.com/uBHUedbK3fR5oYpkxcyfrG4DBjLVjYL0Jni83s8CbQK0G0y6vCJgt6ebZJGxUHHV6G8T5HjRWVh568IkHDNKkOI_0uphQitm6AOfet8zKv4hudJciLCYucpUiUSvoYe4OAC7KoBbgts-UJlQRlZJQmE)\n\n# **Our story**\n\nDylan and I met while studying engineering at the University of Waterloo. Each of us brings over a decade of tech industry experience. I was on GitHub's engineering team for over 7 years, addressing challenges like scaling abuse mitigation for 100+ million users. While at GitHub, I saw AI-driven threats evolve and evade traditional detection techniques, which led me to found Nuanced.\n\nDylan has a decade of machine learning experience spanning industry and academia, culminating in a 6-year tenure as an Applied AI Scientist at Amazon. \n\nWe both agreed that online content creation and consumption were rapidly changing, making it harder to discern reality from convincing hallucinations. \n\n![uploaded image](/media/?type=post&id=78200&key=user_uploads/1552616/4be4899f-ab76-47c2-a484-1aa39add3b41)\n\n# **Our asks**\n\n* **Give it a try:** use [this playground](http://13.59.173.43:7860/) to see Nuanced in action, and check out our [developer docs](https://nuanced.stoplight.io/docs/nuanced-api/zza4t0r053k8d-verify-image) to learn more. \n* **Flag incorrect results.** If we get something wrong [here](http://3.140.239.1:7860/), flag whether it was real or fake to help us improve our outcomes over time. We have provided a GIF below outlining how to flag incorrect results. \n* **Schedule a call:** to learn more, book a live 1:1 demo using [this link,](https://calendar.google.com/calendar/u/0/appointments/schedules/AcZssZ1oDN9pRF-xSoO2NiV-mUZP4lwg7RJI1fd-W6v1WyJX5rt_b9gJyBx5goNLX9xF4nuAILLBOzix) or by emailing us at [demo@nuanced.dev](mailto:demo@nuanced.dev).\n* **Customer intros:** we’d love intros to companies that have image verification needs, such as user-generated content platforms. Feel free to make intros directly to [ayman@nuanced.dev](mailto:ayman@nuanced.dev).\n\n \n\n![](https://lh7-us.googleusercontent.com/RobYeCSZ51B1S7hlokDlDtBRijqImf1AW53-CH5coPIOqKZXtkC1v7US15o03rvtPAf8oYFo6z1qnxA4W-tml1EgXE6KHjviB2eTOv9j3tG3ZWQBTtUV3zsWv8Q8ZPpJzuC3z1a7ojvdqPdp-dB5A74)\n\n",
        "url": "https://www.ycombinator.com/launches/KLI-nuanced-detect-ai-generated-images",
        "votes": 25,
        "created_at": "2024-02-06T16:44:25.814Z"
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    "website": "https://www.leaping.io/",
    "all_locations": "New York City, NY, USA",
    "long_description": "When bad software gets shipped, software companies burn a lot of money and customer trust fixing it. Most software engineers will tell you they spend more time fixing code than writing it, which will only become more true as AI code assistants gain adoption. Leaping autonomously root causes bugs and generates tested code fixes.",
    "one_liner": "Automate bug resolution",
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    "subindustry": "B2B -> Engineering, Product and Design",
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        "full_name": "Adrien Philardeau",
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    "name": "Artisan",
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    "website": "https://artisan.co/?utm_source=ycombinator",
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        "title": "Ava, The Sales Rep Artisan: The AI Employee Who Automates Cold Email",
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        "id": 77958,
        "title": "🌻 Blume: Back Office Automation for Health Insurance Brokers",
        "tagline": "A unified data platform for brokers to scale their book of business.",
        "body": "Hey everyone! We’re [Aditya](https://www.linkedin.com/in/adityajoshi101/), [Ethan](https://www.linkedin.com/in/ethan-hou10/), and [Varun](https://www.linkedin.com/in/tranquilvarun/) building [Blume Benefits](https://www.blumebenefits.com/).\n\n![uploaded image](/media/?type=post&id=77958&key=user_uploads/827967/523665ce-c9cb-4617-8331-18a90104a8f3)\n\n**TL;DR 📌**\n\nBlume Benefits automates health insurance sales for brokers. Today, health insurance brokers spend an average of **11 hours a week on manual data entry**. Blume helps brokers manage quotes, renewals, and revenue ops all in one place without having to manually enter a single keystroke of data.\n\n**The Problem ❌**\n\nObtaining health insurance is such a complex task that a $104 billion-dollar industry exists to help employers navigate the buying, negotiating, and administering of health insurance for their employees.\n\nHealth insurance brokers, the stewards of these transactions, have to manage thousands of complex relationships every year. From negotiating commissions and quotes with insurance carriers to managing contract renewals and compliance for their clients, health insurance brokers find themselves using a fragmented set of programs to store and manage all of this information. Constantly, data and reminders fall through the cracks resulting in **thousands of dollars in lost commissions**, botched renewals, and an artificially capped book of business.\n\n**The Solution ✨**\n\nBlume was created to streamline the relationships that brokers have to manage with their clients and the insurance carriers they work with. On Blume, brokers can:\n\n* Turn unstructured quotes into presentable and understandable formats for their clients.\n* Automate insurance carrier commission statement reconciliation and revenue recovery.\n* Consolidate information about their customers to prioritize their work, ensure no clients are left underserved, and catch problems with plan designs before employees run into them in the clinic.\n\nBy consolidating all of these tools, we are building toward a world where health insurance brokers spend all of their time helping their clients navigate the complex world of health insurance rather than manually keying in data to Excel, spending hours every week consolidating claims data into actionable insights.\n\n**Why we built Blume 💼**\n\nOver the last few months, we had the opportunity to speak with more than 150 health insurance brokers. One thing was clear, they all were frustrated with the decreasing amount of time they could spend helping their clients due to the growing administrative burden and knew that something had to change. When we set out to find existing solutions to their problems, we saw user interfaces that hadn’t changed in years, manual workflows that increased reporting responsibilities for brokers, and software built to be sold to agency executives, not to be used by individual brokers. We are excited to address these issues with Blume.\n\n**Our ask 👋**\n\nWe’re looking to connect with health insurance brokers looking to grow their book of business. If you are one, know any, or can connect us to yours, please feel free to reach out at [founders@blumebenefits.com](mailto:founders@blumebenefits.com).",
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        "id": 78918,
        "title": "InQuery - AI-powered Claims Management System",
        "tagline": "InQuery eliminates tedious back office claims admin work like data capture, document management, and claims research so that adjusters can focus on providing world-class service to claimants.",
        "body": "\\*\\*TLDR: InQuery helps carriers, state funds, self-insured employers and TPAs automate tedious parts of the claims processing workflow so that claims can get closed faster and litigated less.\\*\\*\\\n\\\nHey everyone, we’re [Erick](https://linkedin.com/in/erick-enriquez) and [Khalil](https://linkedin.com/in/khalil-miri?challengeId=AQHWHo0KU27KHgAAAYtAT5ChJwAxKyHDUTBZ_lM6cVviquDDjRyqB9xJxhlm0ATSXVRSaWgd29Ey0nUP_7m83XuDx3BvDkY4Jw&submissionId=2e9e84f8-0d0e-8f17-0b3e-f45c8158d27c&challengeSource=AgHqCrfI9npr2QAAAYtAT8XC638RucWqcGTLCZ7eovbJ-AYf7th1Rp30ur3XDSY&challegeType=AgHlTtcDd_2XCAAAAYtAT8XEcBz-r74sxX0ukDxvpdpO-N0f--z8dVw&memberId=AgFc2--6eoHdUwAAAYtAT8XHLvuvaBS3QEThr7PWG6--ydU&recognizeDevice=AgExDFN6a2fGlAAAAYtAT8XJR2ljtKp39iqIOlBAMno1-CUSmezV) and we’re building [InQuery](https://www.inquery.ai/). \\\n\\\n**🔍 Problem**\\\nThe insurance industry is facing a labor shortage that is creating a negative spiral for staffing. As carriers struggle to hire, existing talent is getting overloaded and under-trained, causing severe retention issues at most large carriers. This talent squeeze means that per-case performance quality drops, leading claimants to experience confusion and frustration, which inevitably drives litigation rates upwards as they seek representation and support. As a result, average claim costs are rising, squeezing carriers expense ratios at the same time as inflation causes ballooning medical costs. \n\nStill, claims adjusters like my sister spend most of their day transcribing telephone calls, navigating large sets of semi-structured policies, and mapping data from large and complicated medical documents to relatively structured schemas in their existing CMS.\n\n**🦾 Our Solution**\n\nAt InQuery, our mission is to develop AI agents tailored for the insurance industry, beginning with with claims handling. These agents will enable claims handlers to concentrate on high-impact settlement strategies, effective negotiations, and casualty remediation processes. The result? Reduced litigation rates, improved loss ratios, and enhanced satisfaction for both employees and claimants.\n\nBut our vision doesn’t stop there. As we perfect our AI solutions for claims handling, we’re poised to expand into other insurance-specific workflows, bringing efficiency and innovation to every corner of the industry. Our AI agents will seamlessly integrate with your current team, taking over repetitive tasks and collaborating with human staff where their expertise is needed most. Join us in redefining insurance processes and empowering your workforce to achieve more.\\\n\\\n\\*\\*👋 About us:\\*\\*\\\nBefore starting InQuery, we’ve been best friends since living in the same dorm during our freshman year studying Computer Science at Stanford.\n\n![](https://lh7-us.googleusercontent.com/krqSs7LIAO18m20ptblmaz74UhYwXwAMIHwY22ZLG4orANZ2GRjnjk9U_mmiBdOVwR2KlSvdH0StCYadIwufhj2T3V8cv7o5q3BHT04hsA_F_aMm-uN6mHA_-OdQJG8axjRNS3tZVuqGZg7vAhMJkcE)\n\n\\\n**Our Ask**\\\nIf you or anyone you know has experienced the pain of handling claim caseloads of upwards 100+ active cases, we’d love to chat. We’re looking for intros to carriers, self-insured employers, and TPAs. \\\n\\\nEven if our product isn’t the right fit for you yet, we’d love to learn about what’s working well and what’s broken at your organization and share what we’ve learned from talking to dozens of carriers ourselves.",
        "url": "https://www.ycombinator.com/launches/KWs-inquery-ai-powered-claims-management-system",
        "votes": 38,
        "created_at": "2024-02-29T21:17:22.340Z"
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    "website": "https://firebender.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Firebender is the most powerful coding agent for Android engineering. \r\n\r\nOne-click install from the IntelliJ plugin marketplace to your IDE. It has context over your codebase and lets you use the best models for asking questions, debugging code, and writing full features.\r\n\r\nUnlike other AI assistants, Firebender has access to the emulator, compose previews, and LSP tools like finding usages, renaming variables/functions. It continuously stays up to date with the latest Android SDKs, libraries, and best practices, providing more accurate and relevant assistance for Android development.",
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        "user_id": 451682,
        "full_name": "Aman Gottumukkala",
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      {
        "id": 84402,
        "title": "🔥 Firebender - The best AI assistant for Android Studio",
        "tagline": "Meet Firebender, Android Studio's missing AI assistant.",
        "body": "Hey everyone! We’re Aman and Kevin from [Firebender](https://firebender.com/), building the best AI tools for Android developers.\n\n**TLDR:** [Firebender](https://firebender.com/) is a **free** and **privacy-first** Android Studio AI assistant.\n\n### **🎥 Firebender in Action**\n\n<https://youtu.be/It-TD_95yNk>\n\n### **🛠️ Problem**\n\n* **Inefficient Workflows**: Constantly switching between Android Studio and ChatGPT is annoying, disrupts your development flow, and reduces productivity.\n* **AI Assistants are shit**: General-purpose AI coding tools don't integrate relevant Android-specific contexts like Logcat and the emulator. Some flat-out don’t work in Android Studio at all.\n\n  _“Gemini and Copilot are comically bad. I never use them”_ - Android Tech Lead at GoodRx\n* **Outdated Android Training Data**: Leading AI models have a knowledge cutoff that lags behind Android's fast-paced, often backward-incompatible changes. This gap leads to incorrect AI code suggestions for updated SDKs, libraries, architecture patterns, and UI frameworks like Jetpack Compose.\n\n  _“GPT4 and Claude were clueless about the Android UI framework we use. We had to build an in-house context retrieval system to make AI coding useful.”_ - Senior Staff Android Eng at Airbnb\n\n### **🔥 Our Solution - Firebender**\n\n* **Android Studio Plugin:** One click [install](https://plugins.jetbrains.com/plugin/25224-firebender) from IntelliJ marketplace.\n* **Talk to your codebase**: AI chat window for comprehensive assistance with your codebase, logs, profiler, and emulator.\n\n  ![uploaded image](/media/?type=post&id=84402&key=user_uploads/451682/07fb823c-fd19-4659-8c42-6a98d523a6aa)\n\n* **Fast Edit**: Enables quick, context-aware code modifications directly in your current file.\n\n  ![uploaded image](/media/?type=post&id=84402&key=user_uploads/451682/7bd9e58e-fd4f-4983-9967-a882197fb9d9)\n\n* **Up-to-date Android Knowledge**: Firebender scrapes real-time knowledge from the latest SDKs, libraries, repos, and docs into context.\n* **Free &amp; Privacy First**: We do **not log, store, or persist your code**.\n\nAn iOS developer with 10 years of experience built his first Android app in just 3 weeks using Firebender—a task that had taken him 3 months for iOS.\n\n_\"There was no way I could've built it as fast as I did without Firebender\"_ - iOS Eng at Sinai Health\n\n### **🤷 Why we built Firebender**\n\nA few months ago, we were developing Firebender OS - an AI-powered fork of Android. We rooted Pixel 8s and created an AI assistant that activates by holding the power button. It automated tasks like drafting calendar invites from messages and opening relevant apps based on your location and schedule. Despite using it every day, we realized the added value wasn't sufficient. We didn’t love the product.\n\nThroughout this process, we constantly struggled without a good AI coding assistant for Android development. Existing tools have shockingly poor Android support, focusing instead on other IntelliJ IDEs and languages. This gap revealed a clear opportunity so we pivoted immediately to building Firebender, the best AI coding assistant for Android developers.\n\n### 🙏 **Our Asks**\n\n* [Try Firebender](https://plugins.jetbrains.com/plugin/25224-firebender/versions/stable) for Android Studio\n* Share Firebender with your Android developer friends!",
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    "id": 29360,
    "name": "Open",
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    "all_locations": "Amman, Amman Governorate, Jordan",
    "long_description": "Open is an AI-powered, all-in-one customer support and communication platform — used in production by:\r\n\r\nPrint.com, Mollie.com, Viva.com, More.com, Orderchamp.com, OneCarNow.com, and other major enterprise companies.\r\n\r\nWe specialize in solving and automating complex support cases across email, web, phone, SMS, and WhatsApp.\r\n\r\nWe’re a research-based company currently working on releasing Support-Bench, the world’s most comprehensive AI customer support benchmark.\r\n\r\nOur team consists of +3 programming language builders, a nationwide cybersecurity competition winner at age 16, and a dentist.",
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    "team_size": 21,
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    "country": "JO",
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      "name": "Nicolas Dessaigne",
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        "full_name": "Mohammad Gharbat",
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        "title": "Enterprise Account Executive (new business), Europe",
        "url": "https://www.ycombinator.com/companies/open/jobs/waG5YFh-enterprise-account-executive-new-business-europe",
        "location": "Amsterdam, NH, NL / Amsterdam, North Holland, NL / DE / ES / Remote (Amsterdam, NH, NL; Amsterdam, North Holland, NL; DE; ES)",
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        "role": "Sales",
        "role_type": null,
        "salary_range": "€80K - €190K EUR",
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        "title": "Enterprise Account Executive (new business) ",
        "url": "https://www.ycombinator.com/companies/open/jobs/JGgxRGB-enterprise-account-executive-new-business",
        "location": "San Francisco, CA, US / Remote (US)",
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        "title": "Open.cx Closes $1.52M Funding Round to Disrupt Customer Support with Advanced AI Solutions",
        "url": "https://theaiinsider.tech/2025/01/13/open-cx-closes-1-52m-funding-round-to-disrupt-customer-support-with-advanced-ai-solutions/",
        "date": "Jan 13, 2025"
      },
      {
        "title": "Adriaan Mol, Mollie CEO Koen Köppen, and YC back this new AI startup: Know more  - Silicon Canals",
        "url": "https://siliconcanals.com/adriaan-mol-koen-koppen-back-open-cx/",
        "date": "Jan 13, 2025"
      },
      {
        "title": "Adriaan Mol, Mollie-ceo Koen Köppen en Y Combinator investeren samen ruim 1,5 miljoen dollar in Open.cx, een AI-tool voor customer support die is ontwikkeld door ex-Mollie-medewerker Mohammad Gharbat.",
        "url": "https://mtsprout.nl/nieuws/facebook-moeder-kapt-met-dei-initiatieven-abn-amro-wil-franse-topvrouw",
        "date": "Jan 12, 2025"
      },
      {
        "title": "Revolutionizing Customer Support: Open.cx Secures $1.52M in Pre-Seed Funding - CEOWORLD magazine",
        "url": "https://ceoworld.biz/2025/01/13/revolutionizing-customer-support-open-cx-secures-1-52m-in-pre-seed-funding/",
        "date": "Jan 12, 2025"
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      {
        "title": "Adriaan Mol stapt in veelbelovende AI-start-up - Emerce",
        "url": "https://www.emerce.nl/nieuws/adriaan-mol-stapt-veelbelovende-aistartup",
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      {
        "id": 86713,
        "title": "Open - Enterprise AI Customer Support",
        "tagline": "All-in-one, truly AI-driven platform for customer support. Scale to millions while maintaining a personal touch with each customer.",
        "body": "### **tl;dr**\n\n[Open.cx](http://Open.cx) is an AI-powered, all-in-one customer support and communication platform designed for enterprises and high-growth businesses.\n\nIn the last few months, our customers have processed and resolved thousands of complex issues using our AI agents in industries like payment service providers, security, and e-commerce.\n\n<https://youtu.be/FhPEcRJV_hw>\n\nToday, Open is the only AI customer support platform in the **WORLD** that allows you to train AI agents from more than 27 sources in one click, deploy these agents on the Web (widget), email support, phone calling support, SMS, WhatsApp, Slack, and more channels (ALL AI)— while giving you very precise auto-recommendations on how to make your AI agents better. You can train these agents to solve the most complex support problems (L2 and L3 support issues and way beyond simple text answers).\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/ee8f7492-5d67-4459-924a-4a499c13995f)\n\n_(Unified AI inbox for web, email, SMS, WhatsApp, phone calls and more)_\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/119684d3-68a3-4284-bbaa-8d3dd2659a8d)\n\n_(Outbound support with AI phone calls, AI SMS Messages, and emails)_\n\n---\n\n---\n\n---\n\n---\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/f5409c0a-1c83-41fb-af96-f110002a971c)\n\n_(Contacts are auto-enriched with AI)_\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/8996c731-37f7-4f31-bc47-8c82caa46912)\n\n_(Train your AI agents with pre-made knowledge connections)_\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/cbf8ebd7-3ab3-402b-a61d-f366a39aca35)\n\n_(Complete control over your AI channels, settings, phone numbers and more)_\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/de92626c-f1db-4b0b-a9ed-8e6e39a3084c)\n\n_(Built with security in mind)_\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/088459d2-b6f7-4dfc-b951-8e3d07664826)\n\n(Easy-to-understand reports)\n\n### Problem\n\nThe current customer support and communication landscape is fundamentally flawed:\n\n1. **Scaling without sacrificing quality**:\n\n   Companies struggle to manage increasing ticket volumes across channels while maintaining high customer satisfaction. Adding headcount isn’t sustainable, and current tools lack the intelligence to keep up.\n2. **Fragmented and unintelligent tools**:\n\n   Businesses rely on a disconnected array of systems—one for email, another for phones, and another for chat. These tools don’t communicate, and even AI-based solutions are often limited to handling basic inquiries, leaving agents burdened with complex tasks.\n\n   Ask yourself: _How many tools did you use in 2024 to talk to your customers and to understand them better?_ We think it should be **one**.\n3. **Inadequate AI for Enterprise Needs**:\n\n   Current AI agents are optimized for basic, repetitive tasks like FAQs or simple ticket routing. They fail to handle the complexity of enterprise operations, where business rules, workflows, and logic require tailored, context-aware AI that can adapt to each organization’s unique needs. Enterprises need AI that doesn’t just automate—it understands, acts, and integrates into their processes.\n\nThis inefficiency leads to slow resolutions, frustrated customers, and rising costs.\n\n### Solution: Open.cx\n\n1. **AI at the Front Line**:\\\n   [Open.cx](http://Open.cx)’s AI manages all channels—web, phone, email, WhatsApp, chat, SMS, and Slack— fast, accurate, and consistent responses for every interaction.\n2. **Clear Handoff to Humans**:\\\n   When human intervention is needed, [Open.cx](http://Open.cx) simplifies the transition, we allow AI and human agents to collaborate effectively in a unified workspace.\n3. **Optimized for Complex Support (L2, L3)**:\\\n   We excel at handling advanced (L2 and L3) tickets, from technical troubleshooting to intricate workflows, going far beyond basic automation.\n4. **Trainable**:\\\n   We integrate with 28+ training sources (Notion, Confluence, Google Drive, Dropbox, and more), so wherever your customer support knowledge resides, we can sync it with the AI.\n5. **Enterprise-Grade Features**:\\\n   With customizable workflows, deep business logic integration, and advanced automation.\n6. **Massive Customer Understanding**:\\\n   Our **Voice of Customer (VOC)** feature provides actionable insights from every interaction, helping businesses improve products and prioritize features.\n\n### **Ask**\n\nIf your company gets more than 5,000 support tickets per month, let us know—we can help. We have a high-touch approach, and our product is super fun to work with (not my words, XD).\n\n[mo@open.cx](mailto:mo@open.cx) or [book a call.](https://cal.com/opencopilot/discovery-call-open?date=2025-01-08&month=2025-01)",
        "url": "https://www.ycombinator.com/launches/MYb-open-enterprise-ai-customer-support",
        "votes": 36,
        "created_at": "2025-01-09T15:42:53.139Z"
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    "launched_at": 1704853466,
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    "year_founded": 2023,
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        "full_name": "Mohammed Al-arnawoot",
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        "full_name": "Abdullah Elqabbany",
        "title": "Founder/CPO",
        "founder_bio": "Abdullah is an electromechanical engineer with years of experience in design and manufacturing. In his last role Abdullah led manufacturing process automation where he worked to bridge the gap between design and manufacturing. Prior to that, he worked as a drafter where he made thousands of CAD drawings shaping Toronto’s skyline. DraftAid is the culmination of years of experiences solving the biggest challenges facing teams trying to go from design to manufacturing as efficiently as possible.",
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        "full_name": "Tahsin Rahman",
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        "title": "DraftAid: Automate your CAD drawings with AI!",
        "tagline": "Engineers designing everything from cars to skyscrapers use our software to turn 3D models into the detailed 2D fabrication drawings that manufacturers require.",
        "body": "# TLDR\n\nMechanical engineers and designers dedicate around 40% of their time to the labor-intensive process of converting 3D models into 2D fabrication drawings, crucial for manufacturers. Using [**DraftAid**](https://draftaid.io/), teams can automate this process with a single click and:\n\n* Save considerable time\n* Direct their focus toward more value-added tasks\n* Cut down on drawing errors, preventing expensive manufacturing mistakes\n\n# **The problem**\n\nModern design teams initiate their design by 3D modeling. To get their design manufactured, they need to make 2D drawings that look something like this:\n\n![uploaded image](/media/?type=post&id=78878&key=user_uploads/89898/590e3017-c1e8-4987-a30a-2c8469a2a8d6)\n\nMaking 2D drawings for what’s already been modeled in 3D takes up considerable time and energy. Design teams find themselves stuck investing 40% of their time in this manual task. This causes project delays while keeping talented designers busy doing repetitive tasks.\n\nLike any other repetitive manual task, making drawings can also be quite error-prone. Even with accurate designs, errors often sneak in and are only found when fixing them is an expensive endeavor.\n\n# **Enter DraftAid:**\n\nOur innovation streamlines the drafting process making it as effortless as a single click. Once engineers complete their 3D design, a single click swiftly produces a manufacturing-ready 2D drawing within seconds.\n\nThe resulting drawing is entirely editable, allowing engineers to make any necessary adjustments before sending it off for manufacturing.\n\nDraftAid allows teams to slash their current drawing time by up to 90% and eliminate common drawing errors. This not only enhances efficiency but also ensures consistency in drawings throughout the company, improving overall readability.\n\n![uploaded image](/media/?type=post&id=78878&key=user_uploads/290663/9f289b2c-ea8a-4f13-9a4e-f317ac9cd804)\n\n# **Meet the Power Trio:**\n\nWe are Mohammed, Abdullah, and Tahsin, a formidable team with a bond forged over three dynamic years of collaboration.\n\nBefore the inception of DraftAid, [**Mohammed Al-arnawoot**](https://www.linkedin.com/in/mohammed-al-arnawoot/)’s journey included roles as a software engineer and later as a VP of engineering (@ Emagin, acquired by Innovyze) and a Director (@ Dozr) in several start-ups. Navigating the challenging terrain from pre-seed to Series X.\n\n[**Abdullah Elqabbany**](https://linkedin.com/in/abdullah-elqabbany-8160551a8) is an electro-mechanical engineer who boasts a career marked by the creation of tens of thousands of drawings. Frustrated by the absence of a suitable drawing automation tool in his last role, he took matters into his own hands and built one from scratch.\n\n[**Tahsin Rahman**](https://linkedin.com/in/muhammed-tahsin-rahman) is a distinguished PhD graduate from the University of Toronto, who brings a wealth of experience in developing cutting-edge machine-learning solutions. In his previous role, he spearheaded an engineering team within the Canadian National Defence, crafting an AI-powered cybersecurity solution.\n\n# Our Ask:\n\n* Share our solution with any Construction or Automotive design companies you know.\n* Warm intros to design companies that spend a lot of time making drawings — email us at [mohammed@draftaid.io](mailto:mohammed@draftaid.io).\n* Follow us on [**Linkedin.**](https://www.linkedin.com/company/draftaid)",
        "url": "https://www.ycombinator.com/launches/KWE-draftaid-automate-your-cad-drawings-with-ai",
        "votes": 16,
        "created_at": "2024-02-28T23:52:36.882Z"
      }
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    "id": 29382,
    "name": "Soundry AI",
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    "all_locations": "Seattle, WA, USA",
    "long_description": "We build generative AI tools that enhance the fan engagement experience. Want to remix Taylor Swift in the style of Slayer? Now you can with our new product Groove. ",
    "one_liner": "Remix any song into any style",
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    "industry": "Consumer",
    "subindustry": "Consumer -> Content",
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      "America / Canada"
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        "user_id": 1320080,
        "full_name": "Mark Buckler",
        "title": "Founder/CEO",
        "founder_bio": "I would describe myself as an endlessly curious, ambitious, and creative person. I’ve made contributions in many fields including robotics, biomedical imaging, computer vision, hardware acceleration, and computer architecture, and generative AI. My passion for AI was super-charged during my PhD at Cornell University where my thesis focused on hardware-accelerated deep neural networks.",
        "is_active": true,
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        "full_name": "Justin Parus",
        "title": "Founder/CTO",
        "founder_bio": "Our team is building technology to democratize professional music production. I used to work on the cloud.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/justinparus",
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    "news": [
      {
        "title": "The 18 most interesting startups from YC’s Demo Day | TechCrunch",
        "url": "https://techcrunch.com/2024/04/03/ycs-winter-2024-demo-day-confirms-that-we-are-indeed-in-an-ai-bubble",
        "date": "Apr 03, 2024"
      },
      {
        "title": "Seattle's Soundry AI creates text-to-sample generator to help prompt enhanced music creation – GeekWire",
        "url": "https://www.geekwire.com/2024/seattles-soundry-ai-creates-text-to-sample-generator-to-help-prompt-enhanced-music-creation/",
        "date": "Mar 30, 2024"
      },
      {
        "title": "The Journal by Fondo |  🔊 Soundry AI launches generative AI for musicians",
        "url": "https://www.tryfondo.com/blog/soundryai-launches",
        "date": "Mar 26, 2024"
      },
      {
        "title": "Bandlez's Diandre Ruiz Launches Generative AI Program for Creating Samples - EDM.com - The Latest Electronic Dance Music News, Reviews & Artists",
        "url": "https://edm.com/gear-tech/bandlez-launch-generative-ai-creating-samples",
        "date": "Jul 31, 2023"
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    "launches": [
      {
        "id": 78937,
        "title": "🔊 Soundry AI - Generative AI for musicians",
        "tagline": "We provide a music sample generator for music creators",
        "body": "Hey everyone! We’re [Mark](https://www.linkedin.com/in/markbuckler/), [Justin](https://www.linkedin.com/in/justinparus/), and [Diandre](https://www.linkedin.com/in/diandre-ruiz/) and we’re thrilled to introduce you to [Soundry AI](https://soundry.ai/): **a text-to-sound AI generator for musicians**. Our AI creates musical building blocks perfect for reducing friction in the music creation process.\n\n# \n\n# 🦸‍♂️ The Team\n\nAll three co-founders are united in their love of music. After completing his PhD in AI at Cornell, Mark got his start in the music industry by founding the [Codex Collective](https://codexcollective.co/press-kit), a live music event production company in Seattle. Justin quickly joined, and all three founders met for the first time when Diandre came to Seattle to perform as [Bandlez](https://www.instagram.com/bandlez/), the music project he co-founded. Justin is an engineer extraordinaire, first cutting his teeth on large-scale data processing during his time at Microsoft Azure. Diandre is a professional musician who has performed all over the world and written music with big names, including [Shaquille O’Neal](https://open.spotify.com/track/2oCzWh04Rt4WBr7StVUCHe)!\n\n![uploaded image](/media/?type=post&id=78937&key=user_uploads/1320080/71009b68-f2c7-400e-afbc-466111c5784a)\n\n# **🔇** The Problem\n\nMusic production technology has become increasingly democratized over the years, but creating a piece of music that you are proud of is just as challenging as it’s ever been. These days, most music is made by combining multiple audio recordings of individual instruments (called music samples) into a full song. Music sample libraries are easy to use which has led to massive growth for companies who provide them ([Splice,](https://www.crunchbase.com/organization/splice) [Output,](https://www.crunchbase.com/organization/output) etc), but they have a few key issues:\n\n* Professional music producers are often prohibited from using sample libraries due to [copyright strike concerns](https://www.theverge.com/2020/2/17/21140838/justin-bieber-changes-running-over-asher-monroe-synergy-splice-sample-melody).\n* Amateur music producers feel a lack of authenticity when using sounds made by someone else and struggle to make meaningful changes to them.\n\nGenerative AI offers a unique opportunity to build music creation tools that are easy to use and offer fine-grained artistic control. Unfortunately, existing AI music platforms ([Suno,](https://www.crunchbase.com/organization/suno-279f) [Boomy](https://www.crunchbase.com/organization/boomy), etc) offer very little customization and next to no ability to modify any generated output.\n\n# **🎵** Our Solution\n\nOur team at Soundry AI has led the charge by launching the first-ever text-to-sample generator. Our proprietary foundational latent diffusion transformer offers state-of-the-art audio quality due to the efforts of our research team and partnerships with leaders in electronic music production. As you can see in [the video below](https://www.youtube.com/watch?v=MT3k4VV5yrs&ab_channel=SoundryAI), musicians like Diandre can use our tool to create unique, high-quality, copyright-free samples perfect for their music projects.\n\nThis past week we released our newest product: [Infinite Sample Packs](https://www.youtube.com/shorts/fEfYkkon7YI). Now, all that a user needs to do is click a button to get accurate stylized sounds. Professionals have praised the quality and specificity of the sounds, and amateurs have been thrilled with the simplified interface.\n\n# **📢** Call to Action\n\nIf making music is your thing, we’d love for you to try our sample generator [here!](https://soundry.ai/) We’d be so thankful if you to share our product with all of your musical friends, and if you have any questions then please reach out via [founders@soundry.ai.](mailto:founders@soundry.ai) We can’t wait to hear from you!",
        "url": "https://www.ycombinator.com/launches/KXB-soundry-ai-generative-ai-for-musicians",
        "votes": 67,
        "created_at": "2024-03-01T04:30:54.397Z"
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    "id": 29404,
    "name": "Diana",
    "slug": "diana",
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    "website": "https://getdiana.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The first business-ready OpenClaw platform. A secure AI assistant embedded directly into Slack.",
    "one_liner": "Give Your Employee An Employee",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1706475260,
    "tags": [
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      "Operations",
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      "AI Assistant"
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      "Partly Remote"
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getdiana/",
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        "full_name": "Upeka Bee",
        "title": "Founder/CEO",
        "founder_bio": "Upeka is the co-founder and CEO of Diana. Before Diana, she was Head of Engineering for Gusto's HR Platform, and before that, Salesforce and a string of startups.",
        "is_active": true,
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        "title": "DianaHR Raises $3.7M Seed Round to Redefine HR for Startups with AI Agents | DianaHR",
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        "date": "Sep 15, 2025"
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      {
        "id": 99731,
        "title": "Diana - Give Your Employee An Employee",
        "tagline": "The first business-ready OpenClaw platform. A governed AI assistant for every employee, embedded directly into Slack.",
        "body": "Hey YC! 👋\n\nWe're [Upeka](https://x.com/upekabee) and [Dilan](https://x.com/dilan), co-founders of [Diana (W24)](https://x.com/getdiana).\n\nEvery OpenClaw today is an intern with root access and no oversight. ☠️🏴‍☠️\n\n**So we built the first one that has a boss.** 🦞\n\nDiana is a business-ready OpenClaw with a Governor monitoring every action - that can shut it down mid-task, before damage is done. \n\n<https://www.youtube.com/watch?v=sdka6JW9QK0>\n\n**TL;DR:**\n\n**🛡** Diana is a business-ready OpenClaw with a Governor monitoring every action\n\n**⚡** Connect 3,000+ tools via API, or log into any app via Browser Logins\n\n**🔒** Per-user credential isolation. Every employee gets their own sandboxed agent\n\n**🏗** Built by engineers from Google, Gusto, MIT, CMU, and Yale\n\n## **The Governor**\n\nHere's the thing about OpenClaw: it talks directly to your tools. Slack, Notion, your APIs. No filter. No oversight. If it hallucinates or gets prompt-injected, it acts on your systems before anyone can stop it.\n\n**Diana never talks to Slack, Notion, or your APIs directly.**\n\nEvery action routes through the Governor first. It checks intent, filters output, and watches for drift in real-time. If something is off, the Governor kills the action before it reaches your systems. Not after. Before.\n\nThe architecture:\n\n→ Slack ingress hits the Governor (trust boundary)\n\n→ Governor routes to isolated agent sandboxes\n\n→ Agent has zero DB access, zero secrets\n\n→ Every LLM and tool call goes back through the Governor\n\n→ Governor filters output before it reaches Slack\n\n## **3,000+ Integrations + Browser Logins**\n\nDiana connects to Slack, Google Workspace, HubSpot, Stripe, Notion, Linear, GitHub, and thousands more via API.\n\n**And if there is no API? Diana logs in with a browser, just like you would.**\n\nHRIS portals, benefits platforms, 401k providers, state registration websites. If you can click it, Diana can work it. All through the Governor.\n\n![uploaded image](/media/?type=post&id=99731&key=user_uploads/128506/e04c3454-71cc-4c21-a942-3ba81aa51cd3)\n\n## **Give Your Employee Their Own Employee**\n\nDon't replace your team. Give them superpowers.\n\nDiana is simple to install and use: Install to Slack → connect your tools → **just ask**:\n\n**_→_** _\"Show me our Hubspot pipeline by stage and expected close date\"_\n\n**_→_** _\"Build me a revenue dashboard in Google Sheets for our March Investor Update. Send me a revenue dashboard every month.\"_\n\n**_→_** _\"Review these 5 invoices against the tracking spreadsheet let me know if there are any discrepancies\"_\n\n**_→_** _\"Every Monday at 9am, send me a summary of the #general Slack channel from last week\"_\n\n**_→_** _\"Onboard Sarah Chen as Senior PM into HRIS Payroll. Here’s the offer letter.\"_\n\n**Diana works across finance, operations, sales, product, engineering, marketing, and HR. Built for every employee on earth. Hire humans, and help them to 10x.**\n\n![uploaded image](/media/?type=post&id=99731&key=user_uploads/128506/48d04c0d-9f5e-4983-80a5-d3a5382d8eb3)\n\n## **The Backstory**\n\nBefore Diana, we built DianaHR, a fractional HR service for SMBs. Running that business, we saw firsthand how much time operations teams waste on repetitive tasks: onboarding new hires into HRIS systems, chasing unsigned documents, answering the same benefits questions, filing state registrations.\n\nWhen OpenClaw exploded, we saw the opportunity: an AI agent that could actually do this work. But the security gaps were a dealbreaker for business use. So we built a Governor on top, added per-user credential isolation, and created Browser Logins so Diana could work with tools that don't have APIs.\n\nBacked by Y Combinator (W24), General Catalyst, and SNR Ventures. Built by a team from Google, Gusto, MIT, Carnegie Mellon, and Amazon.\n\n**And this is just the start. Our goal is an AI employee so trusted you can hand it an entire business function and let it run.**\n\n## **Our Asks**\n\n**Try Diana for free.** If you want an OpenClaw agent AND peace of mind: [**getdiana.com**](http://getdiana.com)\n\nFor YC founders we are giving one month free of our assistant tier. Ping me on Bookface or email for a code!\n\n**Feedback.** If you try Diana and something breaks or feels off, tell us. DM me on Slack, email [upeka@getdiana.com](mailto:upeka@getdiana.com), or find me on X at @upekabee\n\nLet's go. 💚\n\n![uploaded image](/media/?type=post&id=99731&key=user_uploads/128506/8868ea14-86aa-45c3-916e-6a194d45de54)\n\n",
        "url": "https://www.ycombinator.com/launches/PwZ-diana-give-your-employee-an-employee",
        "votes": 5,
        "created_at": "2026-04-14T16:01:32.173Z"
      },
      {
        "id": 77951,
        "title": "✅ DianaHR - Give us your people ops and take back your time",
        "tagline": "Put your company's people ops on autopilot and save 10+ hours a week",
        "body": "Hey everyone! We are [Tim](https://www.linkedin.com/in/tim-kral-512b5b3/) and [Upeka](https://linkedin.com/in/upeka) and today we are launching [DianaHR.](https://getdianahr.com/) We offer businesses an expert HR and Operations team to **manage tedious people ops tasks.**\n\n**Tl;dr**\n\nWe are building a better way to support business owners with back-office tasks like compliance, HR, state registrations, employee onboarding/offboarding, and payroll and benefits administration. We add a human expert to your team, who'll run everything using your own software tools. Prices start at $99/month.\n\n**❌ The Problem** \n\nOnce you hire your \\~5th employee, you find yourself spending hours each week dealing with people ops - managing all the software yourself, spending hours on the phone with customer support, and pulling your hair trying to deal with those state registration letters. You signed up for a PEO hoping things will get better, but you don’t have any control and spend more hours dealing with their central hotline. \n\nAll you want is to focus on your business. And all this stuff gives you anxiety and you worry that you are doing something wrong. Just to make things worse, New York State has sent you a letter with a $10,000 fine.\n\n![uploaded image](/media/?type=post&id=77951&key=user_uploads/128506/d50c0995-aa60-4326-8160-f7426de967ad)\n\n**✨ Our Solution**\n\nMeet DianaHR. We offer you a fractional HR and Ops team that has seen it all. They will do what’s needed to keep you compliant, take busy work off your plate, and help you and your team focus on what matters - your business. Prices start at $99/month and are tailored based on your company's needs. Behind the scenes, we have a series of AI assistants to help scale our DianaHR experts. \n\n![uploaded image](/media/?type=post&id=77951&key=user_uploads/128506/026703cd-3aaa-439f-ac9f-e22d0ab601db)\n\n\\\n**🧑🏻‍🍳 Who We Are**\n\n![uploaded image](/media/?type=post&id=77951&key=user_uploads/128506/d91c3663-d7dd-4180-9ccc-2d902728af27)\n\nWe are Tim and Upeka. \n\nWe met at Carnegie Mellon 17 years ago. This is the third time we have worked together. \n\nBefore DianaHR, Upeka was at Gusto where she was the Head of Engineering for their HR platform. Her teams built the feature set that put Gusto on the map as an HR provider beyond payroll and benefits. Before that, she worked at Salesforce and other startups. \n\nTim was the VP of Engineering at Relay Payments, a FinTech startup. Before that, he worked as an engineer at Salesforce, Medium, and other startups. \n\n**🙌 Our Asks**\n\n* Share this with anyone you know who does compliance and HR back-office tasks and needs help! Book time [here](https://calendly.com/upeka/30min) to discuss. \n* You can follow us on [LinkedIn](https://www.linkedin.com/company/dianahr).\n\nEmail us to [founders@dianahr.ai](mailto:founders@dianahr.ai), for any questions.",
        "url": "https://www.ycombinator.com/launches/KHH-dianahr-give-us-your-people-ops-and-take-back-your-time",
        "votes": 52,
        "created_at": "2024-01-30T02:40:38.048Z"
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    "id": 29422,
    "name": "Deep24",
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    "website": "https://deep24.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Deep24 is a coach that syncs with all your data source, understanding you and then coming up with plans to improve your life. ",
    "one_liner": "AI coach for your entire life",
    "team_size": 2,
    "industry": "Education",
    "subindustry": "Education",
    "launched_at": 1709700135,
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      "Health & Wellness",
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      "AI Assistant"
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ultra-advisor",
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        "id": 91099,
        "title": "Software Engineering Intern",
        "url": "https://www.ycombinator.com/companies/deep24/jobs/HQOPclv-software-engineering-intern",
        "location": "San Francisco, CA, US",
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        "id": 88952,
        "title": "Ultra: Advisor for Ambitious Students",
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        "body": "Hey everyone!\\\n\\\n**TL;DR:** Ultra helps ambitious students achieve anything; we’re launching our college admissions advisor, which focuses on helping students become extraordinary, which is more important than the application itself. \\\n\\\n**Ask:** We’d love to meet with two main categories: employers and educators (college counselors, principals, and school district leaders). We’ve already matched some very hungry and capable top 1% high school students to VC firms and YC startups as interns; we’d love to partner with more companies who are interested in building a talent pipeline here or otherwise interested in working with high schoolers. Contact us at [oliver@tryultra.org](mailto:oliver@tryultra.org) \\\n\\\n<https://youtu.be/9u-J96n09eU> \\\n\\\n**❌ The Problem**\n\nAmbitious students are underserved. A hungry high schooler is capable of so much more than APs and creating fake non-profits to get into a college.\\\n\\\nBut the guidance is often nothing or directly negative. Schools and counseling departments are already overwhelmed, so they have to focus their advice on the low-performing students. What is possible for a high schooler has also changed so much that a lot of previously sound advice has aged out. \\\n\\\nCollege remains the primary goal for ambitious high schoolers. And the best way to get in is to be shockingly impressive, which also helps later in life, too. But access to guidance on how to make yourself stand out to colleges is expensive (private college consultants) or not well packaged.\\\n\\\n[**👷**](https://emojipedia.org/construction-worker) **Our Solution**\\\nWe’ve created an AI advisor that helps students become extraordinary.\n\n1. Firstly, we simulate the process that elite colleges use to evaluate profiles to give students an idea of what their odds are (Naviance but better).\n2. Secondly, we give recommendations that students can iterate on. This pulls from a database of 3000+ opportunities, including opportunities exclusive to our platform, like high school-specific internships with venture-backed startups.\n3. Finally, we have a 24/7 AI coach that calls users to check in with them and help them plan and reflect.\n\nAI will make the top performers produce a larger and larger proportion of human work. We will help create this next generation of top performers from the most ambitious students of today.\\\n\\\n**🙏 Our Ask**\\\n\\\nWe’d love to hear from you if you fall into these categories:\n\n* Are you interested in working with or reaching the most ambitious high schoolers? We’ve got a range of partnership-led products coming up, working with startups and enterprises to help them recruit talent, get talent to use their products, and more. This could be as simple as posting opportunities to our platform and being able to recruit the best of the best at their scrappiest or creating job simulations.\n* You’re in education and can help us reach school districts and counselors. We want to give our product for free to schools!\n* If you’re a parent and can help us reach other parents with middle school to high school aged kids.\n* And of course, if you found this as a high schooler: [useultra.ai](http://useultra.ai) is for you.",
        "url": "https://www.ycombinator.com/launches/N8i-ultra-advisor-for-ambitious-students",
        "votes": 47,
        "created_at": "2025-03-25T22:57:49.442Z"
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    "long_description": "Zep unifies business data, documents, and conversations into shared, governed context so agents can complete tasks correctly. Its Context Lake manages millions of Context Graphs as one system, with access controls, retention policies, source traceability, and audit logs. Teams use Zep to build enterprise context graphs, agent memory, and customer and account context. Zep retrieves context in under 200 milliseconds. Graphiti, Zep’s open source framework for temporal knowledge graphs, has more than 30,000 GitHub stars.",
    "one_liner": "The unified context layer for enterprise data",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
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        "full_name": "Daniel Chalef",
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        "founder_bio": "Founder, Zep AI. Engineer turned startup founder (previously KnowledgeTree) and late-stage operator (SparkPost acquired MessageBird), with detours as a Data Science, Marketing, and Corp Dev guy. \n\nStill an engineer at heart and have a soft spot for Go.",
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        "id": 102880,
        "title": "Head of Forward Deployed Engineering",
        "url": "https://www.ycombinator.com/companies/zep-ai/jobs/mVon3qA-head-of-forward-deployed-engineering",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$220K - $270K",
        "equity_range": "1.20% - 1.75%",
        "experience": "11+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Go",
          "Kubernetes",
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        "id": 105318,
        "title": "Member of Technical Staff: Research",
        "url": "https://www.ycombinator.com/companies/zep-ai/jobs/8YxqiAO-member-of-technical-staff-research",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$180K - $250K",
        "equity_range": "1.00% - 1.50%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      {
        "id": 83738,
        "title": "Graphiti by Zep AI : A library for building dynamic Knowledge Graphs",
        "tagline": "Accurate, Current Data for AI Agents",
        "body": "Hey! We're Paul, Preston, and Daniel from Zep AI. We've just [open-sourced Graphiti](https://git.new/graphiti), a Python library for building temporal Knowledge Graphs using LLMs.\n\n<https://youtu.be/sygRBjILDn8>\n\nGraphiti helps you create and query graphs that evolve over time. Think of a knowledge graph as a network of interconnected facts, such as _“Kendra loves Adidas shoes.”_ Each fact is a “triplet, represented by two entities, or nodes (_”Kendra,” “Adidas shoes”_), and their relationship, or edge (_”loves”_). Knowledge Graphs have been explored extensively for information retrieval. What makes Graphiti unique is its ability to autonomously build a knowledge graph while handling changing relationships and maintaining historical context.\n\nAt Zep, we build a [memory layer for LLM applications](https://www.getzep.com). Developers use Zep to recall relevant user information from past conversations without including the entire chat history in a prompt. Accurate context is crucial for LLM applications. If an AI agent doesn't remember that you've changed jobs or confuses the chronology of events, its responses can be jarring or irrelevant, or worse, inaccurate.\n\n# Zep’s Suboptimal Fact Pipeline\n\nBefore Graphiti, our approach to storing and retrieving user “memory” was, in effect, a specialized RAG pipeline. An LLM extracted “facts” from a user’s chat history. Semantic search, reranking, and other techniques then surfaced facts relevant to the current conversation back to a developer for inclusion in their prompt.\n\nUnfortunately, this approach became problematic. Reconciling facts from increasingly complex conversations challenged even frontier LLMs such as gpt-4o. We saw incomplete facts, poor recall, and hallucinations. Our RAG search also failed at times to capture the nuanced relationships between facts, leading to irrelevant or contradictory information being retrieved.\n\nWe tried fixing these issues with prompt optimization but saw diminishing returns on effort. We realized that a graph would help model a user’s complex world, potentially addressing these challenges.\n\n# Building Graphiti\n\nWe were intrigued by Microsoft’s GraphRAG, which expanded on RAG text chunking with a graph to better model a document corpus. However, it didn't solve our core problem: GraphRAG is designed for static documents and doesn't natively handle temporality.\n\n![uploaded image](/media/?type=post&id=83738&key=user_uploads/808515/db4712c7-1171-4115-ad7b-67896c754a65)\n\nSo, we built Graphiti, a [temporal Knowledge Graph](https://github.com/getzep/graphiti) library, which is designed from the ground up to handle constantly changing information, hybrid semantic and graph search, and scale:\n\n* **Temporal Awareness**: Tracks changes in facts and relationships over time. Graph edges include temporal metadata to record relationship lifecycles.\n* **Episodic Processing**: Ingests data as discrete episodes, maintaining data provenance and enabling incremental processing.\n* **Hybrid Search**: Semantic and BM25 full-text search, with the ability to rerank results by distance from a central node.\n* **Scalable**: Designed for large datasets, parallelizing LLM calls for batch processing while preserving event chronology.\n* **Varied Sources**: Ingests both unstructured text and structured data.\n\n# Getting Started\n\nGraphiti is open-source and available on GitHub: <https://git.new/graphiti>\n\nQuick Start: `pip install graphiti-core`\n\nWhile we developed Graphiti for our needs at Zep, we believe it could be useful for any application dealing with evolving, interconnected data, such as:\n\n* Personal AI assistants that need to maintain user context over time\n* Knowledge management systems for rapidly changing domains\n* Social network analysis tools\n* Financial systems tracking changing relationships and transactions\n\nIf you try, we'd love to hear your thoughts, questions, and experiences. Please also consider contributing!\n\n![uploaded image](/media/?type=post&id=83738&key=user_uploads/808515/3d306962-fad2-44fd-9232-862ddd961d0d)\n\n",
        "url": "https://www.ycombinator.com/launches/Lmc-graphiti-by-zep-ai-a-library-for-building-dynamic-knowledge-graphs",
        "votes": 19,
        "created_at": "2024-09-04T15:35:06.052Z"
      },
      {
        "id": 81733,
        "title": "Zep: Fast, accurate structured data extraction for AI assistant apps",
        "tagline": "10x faster than GPT-4o, with field format and validity guarantees.",
        "body": "Many business and consumer apps must extract structured data from conversations between an LLM-powered Assistant and a human user. Often, the extracted data is the objective of the conversation. Consider completing a sales order, making a reservation, or requesting leave. All of these tasks require progressively collecting data from the conversation.\n\nLatency and correctness are important. You will often want to identify the correct data values you have collected and those you still need. You’ll then prompt the LLM to request the latter.\n\n<https://youtu.be/k8e8NsoVzFo>\n\nIf you’re making multiple calls to an LLM to extract and validate data on every chat turn, you’re likely adding significant latency to your response. This can be a slow and inaccurate exercise, frustrating your users.\n\nZep’s new Structured Data Extraction feature is a low-latency, high-accuracy tool for extracting the data you need from Chat History stored in Zep's Long-term Memory service.\n\n> **Up to 10x faster than gpt-4o.** For many multi-field extraction tasks, you can **expect latency of under 400ms,** with the addition of fields increasing latency sub-linearly.\n\n## Comparing Zep with LLM JSON Mode\n\nMany model providers offer a JSON inference mode that guarantees the output will be well-formed JSON.\n\nHowever:\n\n* There are no guarantees that the field values will conform to the JSON Schema you define or that they are correct (vs. being hallucinated).\n* All fields are extracted in a single inference call, with additional fields adding linearly or greater to extraction latency.\n\n#### Preprocessing, Guided LLM Output, and Validation\n\nTo ensure that the extracted data is in the format you expect and is valid given the current dialog, Zep uses a combination of:\n\n* dialog preprocessing, which, amongst other things, improves accuracy for machine-transcribed dialogs;\n* using guided output inference techniques on LLMs running on our own infrastructure;\n* and post-inference validation.\n\nYou will not receive back data in an incorrect format when using a Zep field type such as email, zip code, or date time.\n\nWhile there are limits to the extraction accuracy when the conversation is very nuanced or ambiguous, carefully crafting field descriptions can achieve high accuracy in most cases.\n\n#### Up to 10x Faster than OpenAI gpt-4o\n\nWhen comparing like-to-like JSON Schema model extraction against gpt-4o, Zep is up to 10x faster.\n\n![uploaded image](/media/?type=post&id=81733&key=user_uploads/808515/7adc0720-a2ed-43d9-88ed-1bd883f819c7)\n\nZep's extraction latency scales sub-linearly with the number of fields in your model. That is, you may add additional fields with a low marginal increase in latency.\n\n## Support for Partial and Relative Dates\n\nZep understands various date and time formats, including relative times such as _“yesterday”_ or _“last week.”_ It can also parse partial dates and times, such as _“at 3pm”_ or _“on the 15th.”_\n\n## Extracting from Speech Transcripts\n\nZep can understand and extract data from machine-transcribed transcripts. Spelled-out numbers and dates will be parsed as if they were written language. Utterances such as “uh” or “um” are ignored.\n\n![uploaded image](/media/?type=post&id=81733&key=user_uploads/808515/8ab99f7f-0672-42dc-9d35-b06c37a33c7a)\n\n## Using Progressive Data Extraction To Guide LLMs\n\nYour application may need to collect several fields to accomplish a task. Since Zep's SDE is so fast, you can guide the LLM through this process by calling the extractor on every chat turn. This enables you to identify which fields are still needed and then direct the LLM to collect the remaining data.\n\n```\nYou have already collected the following data:\n- Company name: Acme Inc.\n- Lead name: John Doe\n- Lead email: john.doe@acme.com\n\nYou still need to collect the following data:\n- Lead phone number\n- Lead budget\n- Product name\n- Zip code\n\nDo not ask for all fields at once. Rather, work the fields \ninto your conversation with the user and gradually collect the data.\n```\n\n## Next Steps\n\n1. Learn more in the [Zep Structured Data Guide](https://help.getzep.com/structured-data-extraction).\n2. Sign up for Zep's [Long-term Memory Service for AI Assistants](https://www.getzep.com/).\n\n![uploaded image](/media/?type=post&id=81733&key=user_uploads/808515/0a1d48ed-3bde-4b77-b3e7-08ffe0fa3deb)\n\n",
        "url": "https://www.ycombinator.com/launches/LGH-zep-fast-accurate-structured-data-extraction-for-ai-assistant-apps",
        "votes": 17,
        "created_at": "2024-06-25T16:05:02.992Z"
      },
      {
        "id": 79302,
        "title": "Zep - Long-term memory for AI assistants",
        "tagline": "Build Assistants that know your users.",
        "body": "[Zep](https://www.getzep.com/) is the easiest way to add long-term memory to your AI Assistant. With Zep, you can recall, understand, and extract data from chat histories, enabling you to build rich, personalized experiences. \n\n**Sign up for the **[**Zep Cloud**](https://www.getzep.com/)** and get a Zep Bot T-Shirt when you go live!**\n\ntl;dr\n\n* Zep ensures your Assistant **remembers relevant facts and nuance** from historical conversations, no matter how distant in the past.\n* **Zep makes dialog useful**: Control program flow, extract structured data, select the right prompts or tools, build customer segments, and more.\n* **Fast**! Minimize the number of LLM calls keeping your users waiting. Zep completes tasks in a 1/10 of the time compared to similar functionality built with OpenAI.\n\n![uploaded image](/media/?type=post&id=79302&key=user_uploads/808515/c1ac513c-7ef4-4406-b98a-3e3b4ff94134)\n\n<https://www.youtube.com/watch?v=qVspUE_R-iI>\n\n**Zep In Action: The Amazing ShoeStoreBot**\n\nManaging sales, returns, and order inquiries is all in a day’s work for this hard-working ShoeStoreBot. It remembers past customers, their budgets, brand preferences, shoe size, and more.\n\n<https://www.youtube.com/watch?v=AC4VTqLYYhM>\n\n**Perpetual Memory:  Your Assistant will never forget a user.**\n\nAutomagically populate prompts with relevant facts and summaries extracted from past conversations, no matter how distant.\n\n![uploaded image](/media/?type=post&id=79302&key=user_uploads/808515/6672d796-e8c6-46de-9f65-53dcae5b54ea)\n\n**Dialog Classifier: Instantly and accurately understand chat dialog.**\n\nIdentify user intent, emotion, segmentation, and more. Control program flow with semantic context, using the right prompts, tools, and agents depending on the current dialog.\n\n![uploaded image](/media/?type=post&id=79302&key=user_uploads/808515/5967ab25-86e6-4526-8fc0-aba4c87c6c58)\n\n**Extract Structured Data from Dialog**\n\n![uploaded image](/media/?type=post&id=79302&key=user_uploads/808515/89656e21-5687-4d6d-a8b8-f4a728e19562)\n\nQuickly extract business data from chat conversations. Understand what your Assistant should ask for next to complete its task.\n\n**Support for Your Favorite Languages and Frameworks**\n\nAre you a Python, TypeScript, LangChain, LangChain.js, Chainlit, or FlowWise person? We got you covered.\n\n**The Zep Team**\n\nZep was founded by [Daniel](https://www.linkedin.com/in/danielchalef/) (hi!), who was recently joined by 2 engineers he worked with previously (Peter & Paul!). Daniel led ML at SparkPost (acquired by MessageBird), and previously founded KnowledgeTree (another popular open source project from the 2000s). Despite taking on marketing and corp dev roles in previous lives, he remains an engineer at heart.\n\nDaniel accidentally started Zep when he got frustrated that no delightful software existed to do what Zep does today. He built an early version and stuck it up on GitHub, and one thing led to another.",
        "url": "https://www.ycombinator.com/launches/Kd4-zep-long-term-memory-for-ai-assistants",
        "votes": 70,
        "created_at": "2024-03-12T13:34:56.206Z"
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    "name": "Basepilot",
    "slug": "basepilot",
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    "website": "https://www.basepilot.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Basepilot helps insurers, TPAs and MGAs streamline claims operations with line-of-business-specific AI agents. Companies like Old Republic International, Zurich & others use Basepilot to make claims operations more efficient, less costly and more intelligent.\r\n\r\nBasepilot is founded by Ken Hendricks and Pascal Wieler.\r\n\r\nInterested to try it out? Get started here: https://www.basepilot.com/ ",
    "one_liner": "AI agents for insurance claims",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1704381024,
    "tags": [
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      "No-code",
      "Automation",
      "AI",
      "AI Assistant"
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/basepilot/",
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      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 338967,
        "full_name": "Ken Hendricks",
        "title": "Founder/CEO",
        "founder_bio": "I’m Ken, co-founder and CEO of Basepilot. We build AI coworkers that collaborate with humans to automate work. \n\nPrior to Basepilot, I led product at a B2B fintech startup and grew it to 3M users in <12 months, with customers like Visa and Bank of America. Before that, I built a computer vision startup out of university that reached $250K ARR with partnerships like Deloitte, KPMG, EY and BMW. \n\nBorn in Mumbai, brought up in New Zealand, before moving to SF. Studied Mechatronics eng.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ken-hendricks-96181611a",
        "x_url": "https://twitter.com/KenHendricks_",
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      {
        "user_id": 842820,
        "full_name": "Pascal Wieler",
        "title": "Founder/CTO",
        "founder_bio": "Hi! I'm Pascal, Co-founder of Basepilot. I grew up in Germany.\n\nPassionate about AI agents, robotics & outdoor sports 🤖🚵. Studied CS MSc. @CMU MLD & KIT. Previously, I co-founded a robotics startup, did research in robotic manipulation & imitation learning at Carnegie Mellon, and worked on self-driving cars at Mercedes-Benz. Excited to be a part of YC, let's chat!",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/pascal-wieler",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9cec26f8bcb697fe04fa422fb47bc94bd67cab4c.jpg"
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    "jobs": [],
    "news": [
      {
        "title": "Startups building AI assistants pop in latest YC batch",
        "url": "https://www.bizjournals.com/sanfrancisco/inno/stories/news/2024/04/04/ai-assistants-y-combinator-demo-day.html",
        "date": "Apr 04, 2024"
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    ],
    "launches": [
      {
        "id": 79264,
        "title": "🚀 Basepilot: Your AI employee to automate repetitive browser work in minutes",
        "tagline": "Saving businesses time and resources by automating back-office work across your browser, such as filling out forms, entering information into a CRM, & much more.",
        "body": "Hey everyone! We’re [**Pascal**](https://www.linkedin.com/in/pascal-wieler/) and [**Ken**](https://www.linkedin.com/in/ken-hendricks-96181611a/), here to introduce you to [**Basepilot**](https://www.basepilot.com/).\n\n# **TL;DR:**\n\nBasepilot creates AI assistants to automate repetitive and manual work across a browser. We help companies save 30% of their time weekly and cut costs, freeing up resources for more high-value tasks. For example, finance, recruitment, or sales teams can automate mundane back-office tasks within a few clicks and a quick demonstration.\n\n![uploaded image](/media/?type=post&id=79264&key=user_uploads/842820/08fef875-2fb5-427c-a017-7cf356bd6ed7)\n\n# **Where Basepilot can help you:**\n\n* **Sales** - To help automate sales outreach, prospecting, and follow-ups.\n* **Recruitment** - To help with sourcing candidates and clients, and analyzing and triaging profiles.\n* **Finance** - To help fill in applications/forms, transfer data, do accounting ops, and update customer details.\n* & any other manual task across your browser!\n\n# **Problem - 30% of a business’s total time and resources is wasted on mundane repetitive work**\n\nCurrently, businesses employ teams of knowledge workers (in sales, ops, recruitment, finance, and more) that face a lot of manual and repetitive processes that slow them down. Although critical to get done, these tasks take hours away from doing more high-value work leading to frustration and lower output among teams.\n\n**For a business, this results in:**\n\n* 30% of their team’s time wasted on mindless tasks\n* Wasted resources spent on hiring more people to handle the workload\n* Increased error rates through manual boring work\n\nFor example, a recruitment firm spends 8+ hours/week per recruiter on repetitive admin work to source candidates, analyze applications and enter data, instead of talking to candidates!\n\n![uploaded image](/media/?type=post&id=79264&key=user_uploads/842820/e1bb23d2-968a-4748-be21-d45be443f4f1)\n\n**Existing solutions suck!**\n\n* Off-the-shelf tools often don’t work as workflows are very specific to a company.\n* Automating processes with tools like UI Path is extremely expensive, requires specialist automation engineers and takes several weeks or months to set up.\n\n# **Solution - Automate repetitive tasks in minutes**\n\nBasepilot makes it super easy for a business to build and train their own AI employees, enabling anyone in the company to automate their mundane and repetitive work, freeing up time for more high-value tasks.\n\n<https://www.youtube.com/watch?v=TxvHeF--NU4>\n\nWe designed Basepilot with these core principles in mind:\n\n* **Works where you work:** Basepilot works across the tools you already use right in your browser as a Chrome extension. No need to adopt new tools or change your workflows.\n* **Teach it like a human:** There’s no need to get technical or hire an expensive automation team, simply train your new assistant to complete work, just like you’d teach a human: by showing and telling.\n* **Faster ROI (at lower cost):** Automate workflows in minutes, not weeks or months. Unlike traditional automation tools, Basepilot can get set up and operational in a fraction of the time & cost.\n* **Keep control:** Basepilot operates in your tabs, allowing you to check in and see what’s happening in real-time while you focus on more high-value work, e.g. engaging in customer conversations while Basepilot sources new leads in the background.\n\n![uploaded image](/media/?type=post&id=79264&key=user_uploads/842820/ce3bce79-8335-4901-9c9d-b6cd949a410b)\n\n# **Meet Ken & Pascal 🇳🇿🇩🇪➡️🇺🇸**\n\n[**Pascal**](https://www.linkedin.com/in/pascal-wieler/) & [**Ken**](https://www.linkedin.com/in/ken-hendricks-96181611a/) both independently traveled to San Francisco in the summer of 2023 (from Germany & New Zealand respectively). We came here without knowing each other to explore the startup space and build the future 💪🏼🔨🚀. While in SF, we met through common friends, vibed well, and started working together. We moved across the world to work together in Europe, and got into YC - which brought us back to the city! Super grateful to be back! ❤️😍\n\n![uploaded image](/media/?type=post&id=79264&key=user_uploads/842820/58e95fa6-361d-4a33-8ddb-a2a1fedf1e26)\n\nWe were inspired by the new wave of AI capabilities and are passionate about unlocking more human creativity by automating away the processes we all absolutely despise!\n\n## **👋 Ask: How you can help**\n\n* Reach out if you have a mundane workflow that you’d wish to be automated! [**Email us here**](mailto:founders@basepilot.com) or if you have 10 minutes to chat, please book a time with us [**here**](https://calendar.app.google/GKNVb1A5DKcQ9qjV9).\n* Connect us to companies that employ large teams to do repetitive back-office tasks in your network (e.g. logistics, insurance, construction, etc.). [**Click here**](mailto:founders@basepilot.com).\n* Follow us on [**LinkedIn**](https://www.linkedin.com/company/basepilot) and [**Twitter/X**](https://twitter.com/basepilot) and join our [**Discord**](https://discord.gg/kdJGwfdJhG).\n\nBasepilot is currently in private beta, working closely with early customers. Email us to schedule a demo at [**founders@basepilot.com**](mailto:founders@basepilot.com) or book a time in our [**calendar**](https://calendar.app.google/GKNVb1A5DKcQ9qjV9). Looking forward to hearing from you!\n\nFor more details, visit [basepilot.com](https://www.basepilot.com/).",
        "url": "https://www.ycombinator.com/launches/KcS-basepilot-your-ai-employee-to-automate-repetitive-browser-work-in-minutes",
        "votes": 133,
        "created_at": "2024-03-11T17:25:32.460Z"
      }
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    "id": 29456,
    "name": "Marblism",
    "slug": "marblism",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a938a1b163ef6b6f6b18e8e8f885799aacfb252.png",
    "website": "https://marblism.com",
    "all_locations": "London, England, United Kingdom",
    "long_description": "We've built several businesses over the years, and each time, we faced the same challenges. We knew we needed to send sales emails, post regularly on social media, keep an eye on Google Ads, or simply manage the endless flood of emails—but somehow, these tasks always slipped through the cracks. The intention was there, but reality always got in the way.\r\n\r\nThat's why we created Marblism: AI Employees who seamlessly handle the tasks you keep putting off. No complex setups or prompts needed—just tell them about your business once and let them work quietly in the background. Suddenly, those tasks you knew you should be doing actually get done, giving you more time and mental clarity to focus on what truly matters.",
    "one_liner": "AI Employees who love overtime",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1705180571,
    "tags": [
      "Generative AI",
      "AI",
      "AI Assistant"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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    "regions": [
      "United Kingdom",
      "Europe"
    ],
    "stage": "Early",
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/marblism",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/marblism.json",
    "year_founded": 2024,
    "city": "London",
    "country": "GB",
    "linkedin_url": "",
    "x_url": "https://twitter.com/marblismAI",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a938a1b163ef6b6f6b18e8e8f885799aacfb252.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1616879,
        "full_name": "Ulric Musset",
        "title": "Founder/CEO",
        "founder_bio": "Founder @ Marblism\nex-founder @ Vauban sold to Carta. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ulricmusset",
        "x_url": "https://twitter.com/ulricmusset",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f601c5f852bd544117a17f4710a2cd8bfa080513.jpg"
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    "launches": []
  },
  {
    "id": 29471,
    "name": "Senso",
    "slug": "senso",
    "former_names": [
      "Senso AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/34625866c8af1f2232deac55af64546b4e1026b2.png",
    "website": "http://www.senso.ai",
    "all_locations": "Toronto, ON, Canada",
    "long_description": "Senso is building the infrastructure for the agentic web.\r\n\r\nAs AI agents replace websites as the primary interface for discovery, decisions, and commerce, enterprises need a new way to control how agents understand, reason over, and act on their data. \r\n\r\nSenso enables companies to register agent-first domains, ingest first-party enterprise data, and publish verified, structured ground truth that AI agents can safely answer from, recommend with, and transact against. \r\n\r\nOur platform continuously evaluates how models use this context and adapts it to gain authority across leading LLMs.\r\n\r\nWe are building the System of Record for Verified AI—powering AI discovery, agentic commerce, and post-transaction resolution across regulated and enterprise environments. ",
    "one_liner": "Control what AI says about you",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1704454195,
    "tags": [
      "Generative AI",
      "AI",
      "AI Assistant"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "Canada",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/senso",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/senso.json",
    "year_founded": 2024,
    "city": "Toronto",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/senso.ai",
    "x_url": "https://twitter.com/gosenso",
    "fb_url": "https://www.facebook.com/sensoai",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 174638,
        "full_name": "Saroop Bharwani",
        "title": "Founder",
        "founder_bio": "Saroop Bharwani, a tech entrepreneur and AI thought leader, is the co-founder of Senso.ai, a company that delivers generative AI solutions to enterprises preparing to compete in the Age of AI.  ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/saroopbharwani",
        "x_url": "https://twitter.com/saroopbharwani",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7e7287a47046236ce1fdee1b8ae39fcfce7f149e.jpg"
      },
      {
        "user_id": 1521439,
        "full_name": "Thomas Nelson",
        "title": "Founder",
        "founder_bio": "Innovative tech leader and AI enthusiast, Thomas is passionate about harnessing technology to enhance business intelligence and productivity. His diverse background in computer science and neuroscience, coupled with hands-on experience in startups and tech development, drives his success at Senso.ai.",
        "is_active": true,
        "linkedin_url": "https://ca.linkedin.com/in/thomas-nelson-35137b155",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a0eaab55b00e376b9a5d688725920a4e39646918.jpg"
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    ],
    "jobs": [
      {
        "id": 89648,
        "title": "Account Executive | GEO & Agentic Commerce",
        "url": "https://www.ycombinator.com/companies/senso/jobs/R6HCKpD-account-executive-geo-agentic-commerce",
        "location": "New York, NY, US / San Francisco, CA, US / Remote (Toronto, ON, CA; Toronto, Ontario, CA)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$130K - $200K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 89835,
        "title": "Head of Sales ",
        "url": "https://www.ycombinator.com/companies/senso/jobs/iihFD4e-head-of-sales",
        "location": "San Francisco, CA, US / New York, NY, US / Toronto, ON, CA / Toronto, Ontario, CA / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$200K - $500K",
        "equity_range": "",
        "experience": "11+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 94210,
        "title": "Customer Success Specialist",
        "url": "https://www.ycombinator.com/companies/senso/jobs/TfpVA51-customer-success-specialist",
        "location": "Toronto, ON, CA / San Francisco, CA, US / Remote (US; CA)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$60K - $65K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 77419,
        "title": "Senso: AI-Powered knowledge base designed for Credit Unions",
        "tagline": "We empower marketing and support teams with LLM generated insights to expand customer relationships",
        "body": "**TL;DR:**  In traditional industries like financial services, knowledge feels stuck.  Existing knowledge bases weren’t designed for LLMs, and the time it takes for marketing and support teams to access information negatively impacts retention, loyalty, and sentiment.  Senso is building an AI-powered knowledge base to expand customer relationships, starting in the Credit Union space.\n\n### **THE TEAM**\n\nHey YC! \n\nWe’re Saroop and Tom, the founders of [Senso.](https://senso.ai/) Over the past decade, we’ve been developing AI solutions for banks and credit unions, which provide marketing and support teams with insights to boost customer retention rates. \n\n![](https://lh7-us.googleusercontent.com/DAfnwslYaXLHlOwYDuTl2NRqS8xF2yykeRCwLt2h5lOnasJNX6KT_sGiK5eArtdcO_vVGruqBTLT_ygSd76mPmbrICMMdBX16FGO7OHl0-lZbWe5dHrYKGmmFnkKoP6tmk9BQAZPHfKZiGCB80AB5cs)\n\n![](https://lh7-us.googleusercontent.com/F8grB5SIoPZ_vbvBAWd2S0I4SHpNIwGbYHu9PRBBLqUZaQjnVwCOkoVCWZhYAsSmm8zQlXHN7VLkRIGZsCmTSYql37Sd3hcet5UdSDKz8TpeZ8Y7mDFCpWLec8Mi0wo7XwsZJpszME2gWgKDrw-xHf8)\n\nConsider the following scenarios, which we see happen over and over again: \n\n* You contact your financial institution only to be put on hold for up to 10 minutes and then transferred to another department.  \n* You get offers which are not at all relevant to your life circumstances.\n\nSound familiar? This type of experience has become the norm in industries like financial services leading to frustrated customers and missed opportunities. \n\n### **PROBLEM**\n\nWe’ve started in the US Credit Union industry. Why Credit Unions? Because expanding member relationships is their highest priority. Currently, inefficient means in accessing information, policies and procedures, and past behavior bring unexpected overhead.  A few examples:\n\n1. **Service Delays:** 40% of members are put on hold by support teams, sometimes for up to 5-7 minutes, due to difficulties in accessing policies, procedures, and member information.\n2. **Marketing Relevance:** Marketing teams face 2-4 week delays in obtaining behavioral data, resulting in missed opportunities to provide personalized service.\n\nThese challenges, common across nearly 5000 Credit Unions, stem from an inefficient system for aggregating data and surfacing member behavior, intent, interactions, and policies & procedures in a timely fashion.\n\n### **SOLUTION**\n\nSenso is building an AI-powered Knowledge Base designed for traditional enterprises, starting with Credit Unions. Our product provides a flexible way to centralize enterprise knowledge, such as documents and conversational data, that LLMs utilize to improve information flow across support and marketing teams.\n\nOur GTM strategy is to partner with industry leaders to distribute our product. In the Credit Union space, we’ve partnered with [CU 2.0](https://cu-2.com/) to launch an industry-specific version of Senso called _CuCopilot_, built using our APIs.\n\nHere’s an example of how our growing customer base is using our product to provide more timely and personalized service to members.\n\n1. Ingest and summarize thousands of conversations so that support and marketing teams can understand what members are asking. Examples of metrics surfaced are sentiment and call purpose.\n\n   ![uploaded image](/media/?type=post&id=77419&key=user_uploads/174638/10e5893a-1b2d-45ea-86c1-fedca7b51580)\n\n2. In this example, the Credit Union decides to track members speaking about loan and account openings, and sets a frequency to auto-generate weekly FAQ’s based on interactions.\n\n   ![uploaded image](/media/?type=post&id=77419&key=user_uploads/174638/4df28765-c44b-4c70-a05e-8265a7652fcc)\n\n3. Once the FAQ is generated, support agents can better answer questions related to loan and account openings by searching for auto-generated responses.\n\n   ![uploaded image](/media/?type=post&id=77419&key=user_uploads/174638/a187222e-e718-43b7-8044-1d343f16f440)\n\n\nOne of our customers, TruStone Financial, has seen a significant uptick in the speed in which they are able to answer questions, and their documentation has improved response quality significantly.\n\n![uploaded image](/media/?type=post&id=77419&key=user_uploads/174638/9577b7e4-2d4a-4bb5-9982-41fce71918cc)\n\n### **ASKS FROM FOUNDERS**\n\n1. **Know anyone at a Credit Union?**  If our product may be of interest to anyone running a P&L, an introduction would be appreciated.\n2. **Developers:**  We’ve onboarded API partners like [TribalScale](https://finance.yahoo.com/news/tribalscale-partners-senso-ai-unleash-150000474.html?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAJ5FFiJ4Pej-4tSgYnh45PteFM4xrVRuwXZZK3mvqK-lUuciuSI9jY88Qq7pom6NihzRn_otmzscFaXUov7dVagdrP2C-ZVpmIHbxdyR9N4P7PlewKr1KQdt7hZlCgiBeemMC-EHObWOeEYPwiYj4OdcjifctXfZVtvtxXacNFw4) and [Fundmore](https://ncfacanada.org/fundmore-x-senso-ai-launch-solution-to-transform-lending/) to launch AI-powered knowledge bases in their products and industries. If you’re a developer interested in doing the same, we’ll set you up with an API Key.\n3. **YC Alum:**  While our solution has primarily been targeted at Credit Unions, we are getting demand from other industries, and if our solution is of interest to you, please reach out to explore.\n4. **Fellow Founders:** We look forward to getting to know you!  Please reach out if there’s a potential partnership opportunity.\n\n**Follow us:** [LinkedIn](https://www.linkedin.com/company/senso.ai/), [X](https://twitter.com/gosenso), and [Facebook](https://www.facebook.com/sensoai).\n\nFeel free to get in touch: [hello@senso.ai](mailto:hello@senso.ai)\n\nThank you,\n\nSaroop & Tom",
        "url": "https://www.ycombinator.com/launches/K8h-senso-ai-powered-knowledge-base-designed-for-credit-unions",
        "votes": 150,
        "created_at": "2024-01-10T22:54:49.703Z"
      }
    ]
  },
  {
    "id": 29505,
    "name": "Tower",
    "slug": "tower",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/71c566f418e6fe3b2b2aa396c65f6feec1bfc40f.png",
    "website": "https://withtower.com",
    "all_locations": "Toronto, ON, Canada",
    "long_description": "Tower accelerates transactional due diligence via an AI-powered, centralized diligence platform. By consolidating disparate diligence workflows, Tower helps deal teams stay organized, spot issues earlier, and close deals faster.",
    "one_liner": "M&A due diligence platform powered by AI",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1715707959,
    "tags": [
      "Workflow Automation",
      "Legal",
      "LegalTech",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Legal"
    ],
    "regions": [
      "Canada",
      "America / Canada"
    ],
    "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": "Both Adam and I both have strong conviction that legal services ought to be more accessible. We believe the current system is broken on both sides of the marketplace. Lawyers are bogged down by a variety of tasks which can and should be automated while their clients are encumbered with large legal costs arising from said tasks. We strongly view legal access as the core recipe for a functional and equitable society and believe that technology has a large role to play in getting us there. We interviewed hundreds of lawyers and found that there are many salient pain points being experienced by in-house legal teams which we’re well-equipped to solve given our in-depth backgrounds in software engineering and AI research."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "When Tower truly succeeds, all lawyers will be able to focus on tasks which they attended law school for, such as advising their clients and applying their nuance to strategic matters. They will no longer have to waste their day performing low-value-add tasks such as searching through precedents or handling admin work. Clients, from the largest corporations down to the individual, will have access to quality legal services at affordable costs as legal professionals are freed from the tyranny of mundane work."
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    "url": "https://www.ycombinator.com/companies/tower",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/tower.json",
    "year_founded": 2024,
    "city": "Toronto",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/tower-software-labs/",
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        "full_name": "Adam Dorfman",
        "title": "Founder/CEO",
        "founder_bio": "I am the co-founder & CEO of Tower; we're building an AI platform for legal due diligence. Previously I was an early engineer at Float (corporate card for Canada), built software for speaker & microphone manufacturing at Apple, built AI software & performed AI computer-vision research at DarwinAI (acq. Apple). I studied Mathematical Physics at the University of Waterloo, where I co-oped in data-science/ML and software engineering.",
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        "user_id": 1791443,
        "full_name": "Andy Zhang",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO @ Tower; we're building helpful software so M&A folks can leave work at 5PM everyday. Before Tower I was the founding engineer of ArenaX Labs, a Web3 AI Gaming startup, where I helped the company from inception and zero users to Series A and a community of hundreds of thousands. Before this I did research at an investment trust, specializing in reinforcement learning and cool assets like crypto. I graduated from UWaterloo BCS and Laurier BBA.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/andy-z/",
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      {
        "id": 101268,
        "title": "Tower - collaborative AI for due diligence",
        "tagline": "We help deal teams collect the right disclosures faster and automate review.",
        "body": "Hi YC,\n\nWe’re Adam, Andy, and Noah - co-founders of Tower ([withtower.com](https://www.withtower.com/?utm_source=ycombinator&utm_medium=referral&utm_campaign=yclaunch&utm_content=launch_page))\n\n## TL;DR\n\nTower is a collaborative AI diligence workspace. We take your DD checklist and messy data room, organize it, flag what’s missing, and let your team query everything with AI - so you spend time on analysis, not chasing information.\n\nWe’re live with AmLaw 50 and Chambers Band 1 law firms, top serial acquirers, and leading commercial real estate diligence teams.\n\n<https://youtu.be/OZn3vZTupGs>\n\n## The Problem\n\nThe hardest part of diligence isn’t reviewing documents - it’s collecting the right information. \n\nDeal teams have no dedicated system for collecting and verifying that disclosures are complete before analysis begins. Instead, they rely on multiple VDRs, Excel trackers, email threads, and one-off AI prompts to figure out what’s been received, what’s missing, and what matters. That process of chasing and structuring information is iterative, time-consuming, and kills deal momentum. \n\nMost AI tools help teams review documents faster. But you can’t review what you don’t have, and you can’t assess risk in documents you don’t know are missing. \n\n## The Solution\n\nTower is the workspace that takes deal teams from first disclosure to answers faster - by fixing collection first, then accelerating review.\n\n**1. Automatically organized data room:** Upload anything, get a fully indexed deal room in minutes. Click any diligence request and see the exact files behind it.\n\n![uploaded image](/media/?type=post&id=101268&key=user_uploads/1450770/0ac92ee3-6a92-4b0f-8d35-176aa978f693)\n\n**2. Catch red flags and missing files up front:** Missing amendments, unsigned agreements, stale financials, and expired contracts are flagged within seconds of upload, before anyone wastes review time.\n\n![uploaded image](/media/?type=post&id=101268&key=user_uploads/1450770/0e556183-5997-4b8f-b5a1-72fbd4b38bca)\n\n**3. AI document review:** Extract covenants, financial definitions, change-of-control triggers, and rep language across hundreds of documents in one pass. Every answer cited to source.\n\n![uploaded image](/media/?type=post&id=101268&key=user_uploads/1450770/36914b9b-402a-4ce1-b78e-b1b3bd0341ab)\n\n**4. Smart diligence Q&A:** Every request, every responder, every status, in one live system, synced with the data room. No more \"what's the latest tracker?\" email threads.\n\n## The Backstory\n\nOur team spent years on the wrong end of messy data rooms - burning weeks organizing and chasing disclosures before real review could begin. We watched deals stall and sour because of it. Tower is the system we wished we had on every one of those deals. \n\nNoah is a former M&A and tech lawyer at Dentons, where he co-led the AI industry practice and advised top Canadian startups. Andy was an ML quant at a $27B pension fund and founding engineer at NRN Agents. Adam was an early engineer at one of Canada's fastest-growing fintechs, and worked on data science in manufacturing at Apple.\n\n## Our ask\n\n* Warm intros to M&A partners at AmLaw 200 firms, corp dev leads at PE/strategics, and CRE acquisitions teams.\n* Working on a deal? Book a demo with us.\n\nLearn more at [withtower.com](https://www.withtower.com/?utm_source=ycombinator&utm_medium=referral&utm_campaign=yclaunch&utm_content=launch_page), or reach us directly at [founders@withtower.com](mailto:founders@withtower.com)\n\n![uploaded image](/media/?type=post&id=101268&key=user_uploads/1450770/5afe8369-4d10-42cd-bc56-ccc6b999a6d8)\n\n",
        "url": "https://www.ycombinator.com/launches/QLM-tower-collaborative-ai-for-due-diligence",
        "votes": 18,
        "created_at": "2026-05-13T01:11:54.537Z"
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    "name": "Marr Labs",
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    "long_description": "Marr Labs is making AI-voice agents that are indistinguishable from humans. Han and Dave previously created speech tech company Vlingo that powered the first Siri app and was acquired for $225M. \r\n\r\n\r\nNow they are taking voice to the next level by making AI-voice agents that can handle virtually any phone-based job, from answering calls to schedule appointments to call center sales and support jobs—all at a fraction of the cost of a human agent.\r\n \r\n\r\nIn the US alone, businesses handle 17 billion calls a year at an average cost of $5 per call–an $85 billion addressable market. ",
    "one_liner": "AI-voice agents that are indistinguishable from humans.",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B",
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        "full_name": "Dave Grannan",
        "title": "Founder/CEO",
        "founder_bio": "Dave is the co-founder and CEO of Marr Labs. Previously, Dave was the founding CEO of speech recognition company Vlingo that provided speech recognition for the first Siri products and was acquired for $225M by Nuance Communications. Dave was also Chairman of the Board of NLP and speech recognition company Maluuba that was acquired for $160M by Microsoft. Prior to founding Marr, Dave was co-founder and CEO of machine vision company Light, acquired by John Deere.",
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        "user_id": 1758036,
        "full_name": "Han Shu",
        "title": "Founder/CTO",
        "founder_bio": "Han is the co-founder & CTO of Marr Labs, an AI/ML pioneer and 2X entrepreneur. As co-founder of Vlingo(acquired by Nuance for $225M), he built Speech Recognition & Natural Language Understanding stacks, and supplied ASR to Siri. As co-founder of Wyth(acquired by Airbnb), he developed mobile personal assistant technology for collaborative productivity applications. Han led the ML and AI groups at both Airbnb and DoorDash. Han holds PhD, MEng, and BS degrees from MIT, and 25 patents.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/hanshu",
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        "id": 84434,
        "title": "Marr Labs' Vox: AI-Voice Agent for Mortgage Lenders",
        "tagline": "Human-like interactions from “Hello” to “Goodbye,” with seamless warm transfers to live agents",
        "body": "### **TL;DR**\n\nMarr Labs launches [Vox Mortgage](https://www.marrlabs.com/), an AI voice agent built for the mortgage industry. It offers instant lead engagement and warm transfers to live agents. Vox increases lead conversion, streamlines pre-qualification, and integrates with your CRM while meeting regulatory standards.\n\n### **The Problem**\n\nAs interest rates change, demand for mortgages fluctuates dramatically. Mortgage lenders need to have a crystal ball to predict the exact timing of these moves and hire well ahead of a spike in demand. If that spike doesn’t come, money is wasted hiring and training unneeded staff. If hiring is not done early enough, then revenue is left on the table when the mortgage lender cannot service the demand. \n\n### **The Solution**\n\nAt Marr Labs we just announced the launch of Vox Mortgage, an AI voice agent designed specifically for the mortgage industry. Vox enables mortgage lenders to contact borrowers in milliseconds, offering human-like interactions and rapid lead engagement. The AI voice agent’s standout feature is its warm transfer capability, ensuring a smooth handoff from AI to live agents, increasing conversion rates and minimizing call abandonment.\n\nVox Mortgage was created to address two crucial challenges in the mortgage industry: speed and seamless customer experience. Not only does Vox engage leads within milliseconds, but our warm transfer technology ensures a smooth transition to live agents, enhancing the borrower’s experience and boosting conversion rates.\n\nBest of all, Vox Mortgage has unlimited scalability, allowing mortgage lenders to easily scale to make or receive as many calls a day as needed–all with no fixed costs. \n\n### **Warm Transfers for Seamless Handoffs**\n\nOne of Vox’s key features is its warm transfer capability, which enables a seamless handoff to live agents once a borrower is pre-qualified. This ensures that no leads are lost during transitions, maintaining a natural flow of conversation and maximizing conversion opportunities. Take a listen to a [live Vox Mortgage call](https://www.youtube.com/watch?v=N9r3f8_jT68). \n\n### **Accelerating Lead Conversion in Mortgage Lending**\n\nVox connects with prospective borrowers in milliseconds, allowing lenders to be the first to reach leads after they submit online forms. This first-mover advantage significantly improves lead conversion rates, helping lenders stay ahead of the competition.\n\n### **Seamless Integration and Compliance**\n\nVox integrates effortlessly with lenders’ existing CRMs, telephony, and loan origination systems. It can also be customized to meet industry compliance requirements, ensuring all communications are secure and meet regulatory standards.\n\n### **About Marr Labs**\n\nMarr Labs is a pioneer in AI-driven voice solutions, offering human-like, scalable interactions for a variety of industries. Marr Labs’ flagship product, Vox, helps businesses streamline processes, improve customer engagement, and boost operational efficiency. For more information, visit marrlabs.com.",
        "url": "https://www.ycombinator.com/launches/Lxq-marr-labs-vox-ai-voice-agent-for-mortgage-lenders",
        "votes": 18,
        "created_at": "2024-10-01T19:11:54.255Z"
      },
      {
        "id": 79214,
        "title": "Marr Labs – AI-voice agents that are indistinguishable from humans",
        "tagline": "Task-specific agents for roles like scheduling, sales, customer service and more",
        "body": "At [Marr Labs](https://www.marrlabs.com/) we are building task-specific AI-voice agents for roles like scheduling, sales, customer service, and more. \n\nThe first product is the Vox Scheduling Agent targeted at the Home Services Industry where every lost call is a lost revenue opportunity. For contractors, plumbers, electricians, and other service providers, voicemails and phone tag not only frustrate customers but also lead to lost business. Take a listen to a [live Vox call](https://youtu.be/UWaAL1MSOZ8).\n\nThis is our second time building a company together. We first met over a decade ago and partnered to create Vlingo, the speech tech company that powered Siri and created Samsung's Siri competitor, S-Voice before being acquired for $225M. Now, with the development of LLMs, we are creating an entirely new platform that can take original voice agents like Siri from robotic to human, which will be a game changer. \n\n### Who we are\n\n![](https://lh7-us.googleusercontent.com/-AwmvtFLk5FeSIqonC6pVDxXXtLv2coqWQVDaeHpPQ4xtM9q7g914FmOccVi3KKmc4GU5GYgE1eceKXxXvylEkMBFh1dq8nCcrwAdd4qXRh4GsN0lBuQ_sYu85e2LYEEuC5mkpy2EmJvoC-tQDQzAyk)\n\n[Dave](https://www.linkedin.com/in/grannan/) is a 4x startup CEO with a track record pioneering AI/ML solutions from concept to commercialization. In addition to Vlingo, Dave co-founded and served as CEO of Light, a machine vision company rooted in ML, before its acquisition by John Deere. He also led the mobile middleware company, Geoworks. Dave holds an MBA from Haas School of Business at UC Berkeley and is a US Marine Corps veteran.\n\n[Han](https://linkedin.com/in/hanshu) is an AI/ML pioneer and 2X entrepreneur. In addition to Vlingo, Han was a co-founder of Wyth (acquired by Airbnb) where he developed mobile personal assistant technology for collaborative productivity applications. Han led the ML and AI groups at both Airbnb and DoorDash. Early in his career, he led BBN's winning effort for a large-vocabulary Mandarin Chinese system, part of the Hub-5 speech recognition evaluation sponsored by NIST and DARPA. Han holds Ph.D., M.Eng., and B.S. degrees from MIT, and over 25 patents.\n\n### Our Ask\n\nIf you have a business where missed calls = missed revenue, give us a try. Email us now to schedule a demo at: [**hello@marrlabs.com**](mailto:hello@marrlabs.com). ",
        "url": "https://www.ycombinator.com/launches/Kbe-marr-labs-ai-voice-agents-that-are-indistinguishable-from-humans",
        "votes": 42,
        "created_at": "2024-03-08T18:25:50.274Z"
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    "id": 29571,
    "name": "Apten",
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    "website": "https://www.apten.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Apten is an omni-channel AI agent that engages and nurtures leads across text, call, email, and webchat. \r\n\r\nWe help enterprises in consumer services convert more leads.",
    "one_liner": "Omnichannel AI agents that engage leads across SMS, voice, and email",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
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        "full_name": "Daniel Ho",
        "title": "Founder/CEO",
        "founder_bio": "Daniel is the Co-founder & CEO @ Apten. Previously a PM at Tesla building systems to automate the detection and chargeback of supplier issues ($XXM in cost recovery / year). Built supply chain analytics at Amazon, Lucid Motors, and Walmart. Studied Economics + Data Science at UC Berkeley. \n\n",
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        "user_id": 1522706,
        "full_name": "Roshan Kumaraswamy",
        "title": "Founder/CTO",
        "founder_bio": "Roshan is the Co-founder & CTO at Apten.\n\nBefore Apten, Roshan spent three years at AWS building sales planning applications & data platforms to empower the AWS Sales org. Before that, he ideated & built multi-data source capabilities for Flux (language) at InfluxData (YC W13) as one of their first interns, and studied EECS at UC Berkeley for 3 years.",
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        "title": "Founding SDR",
        "url": "https://www.ycombinator.com/companies/apten/jobs/Wh8L33A-founding-sdr",
        "location": "New York, NY, US",
        "type": "Full-time",
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        "role_type": null,
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        "id": 83503,
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        "url": "https://www.ycombinator.com/companies/apten/jobs/9vu8UGR-software-engineer-full-stack",
        "location": "San Francisco, CA, US",
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      {
        "id": 94921,
        "title": "Apten: omni-channel AI agents for B2C sales/marketing",
        "tagline": "Convert more leads across text, call, email, and webchat.",
        "body": "TLDR: Apten is an **omni-channel AI agent** that engages and nurtures leads across **text, call, and email, and webchat.**\n\nWebchat specifically has been around for ages - but when a lead starts a conversation on the website and leaves halfway through, **they’re** **gone.**\n\nApten is not only able to start a conversation through webchat, but **proactively reach out via SMS/voice/email once the lead goes inactive.**\n\nToday, Apten automates sales/marketing for hundreds of thousands of leads each month - we work with some of the largest enterprises in consumer services (industries including home services, healthcare, education, financial services, and insurance).\n\nhttps://www.youtube.com/watch?v=63At2HXNX4k\n\n# **The Problem**\n\nB2C services companies today **(insurance, home services, financial services, education, etc)** rely on a combination of call centers, dialers, email/sms marketing automation systems to convert new leads.\n\nThese systems fall short because:\n\n* Human teams are required to scale up dialing/call efforts (leads slip through the cracks)\n* SMS/email automations are typically one-way, static sequences without personalization\n\n# **Our Solution**\n\nApten automates sales and marketing for B2C enterprises with:\n\n* **Omni-channel capabilities**: set up a single conversational flow that works across SMS, voice, email, and webchat.\n  * Apten maintains unified memory across SMS, voice, emai, and webchat (just like a human does) to **personalize conversations at scale**\n  * Apten can also **switch between channels** at anytime to **meet a lead where they want to be met**\n  * Move leads through different conversational flows depending on **where they are in the customer/lead journey**\n* **Intelligent follow-up:** Apten will not only personalize follow-ups based on what it knows about a lead or a past conversation, but it will also dynamically adjust **when to follow-up based on a lead’s repsonse**\n  * Personalized AI voicemails can be left on dial attempts that go to an answering machine\n  * Apten is able to use local presence dialing to auto-match the number it dials from to one that best matches the lead’s area code\n* **AI tools:** Apten can take actions with your systems (scheduling, dialers, quote APIs, etc)\n* **Human in the loop:** Handles transfers to your human team at any time (cold or warm). Apten can also dynamically transfer to specific numbers depending on\n* **Reliability:** setup custom guardrails that automatically detect non-compliant messages and proactively fix them before they’re sent to the lead\n\n# **Our Ask**\n\nIf you’re an enterprise that:\n\n* Falls in a consumer services industry (home services, financial services, insurance, education, healthcare, auto, law, etc)\n* Generates a high volume of leads (5k+ leads / mo)\n* Uses marketing automation (drip texts/emails, dialer sequences) + a sales team/call center to engage leads over the phone\n\nWe’d love to chat - you can find us at http://apten.ai.",
        "url": "https://www.ycombinator.com/launches/Ogz-apten-omni-channel-ai-agents-for-b2c-sales-marketing",
        "votes": 14,
        "created_at": "2025-10-27T15:16:24.244Z"
      },
      {
        "id": 91362,
        "title": "Apten: Omni-channel AI Agents for Sales and Marketing",
        "tagline": "Engage and nurture leads across text, call, and email",
        "body": "TLDR: Apten is an **omni-channel AI agent** that engages and nurtures leads across **text, call, and email.**\n\nToday, Apten automates sales and marketing conversations across hundreds of thousands of leads.\n\nIt responds at any time, automatically follows up with personalized messages, and **dynamically switches between channels** to meet leads where they want to be met.\n\nhttps://www.youtube.com/watch?v=3EX6BxpnAVQ\n\n# **The Problem**\n\nB2C services companies today **(insurance, home services, financial services, education, etc)** rely on a combination of call centers, dialers, email/sms marketing automation systems to convert new leads.\n\nThese systems fall short because:\n\n* Human teams are required to scale up sales operations\n* SMS/email automations are typically one-way, static sequences\n\n# **Our Solution**\n\nBuilt for enterprise, Apten comes with:\n\n* **Omni-channel capabilities**: set up a single conversational flow that works across SMS, voice, and email\n  * Apten maintains unified memory across SMS, voice, and email (just like a human does) to personalize conversations at scale\n  * It also processes existing data/context about leads from your CRM to nurture leads with relevant follow-ups\n* **AI tools:** Give Apten an API, and it will take actions with your systems (scheduling, dialers, quote APIs, etc)\n* **Human in the loop:** Handles transfers to your human team at any time (cold or warm)\n* **Reliability:** includes a native guardrail system that automatically detects non-compliant messages and proactively fixes them before they’re even sent out\n\n# **Our Ask**\n\nIf you’re a business that:\n\n* Generates a high volume of leads (2k+ leads / mo)\n* Uses marketing automation (drip texts/emails, dialer sequences)\n* Is scaling up a sales team\n\nWe’d love to chat with you - you can find us at http://apten.ai.",
        "url": "https://www.ycombinator.com/launches/Nla-apten-omni-channel-ai-agents-for-sales-and-marketing",
        "votes": 5,
        "created_at": "2025-06-17T13:40:44.819Z"
      },
      {
        "id": 87585,
        "title": "Apten - AI SMS + voice agents to convert leads",
        "tagline": "An AI agent that texts & calls in the same way as a human",
        "body": "**TLDR:** We help B2C companies automate sales and marketing with custom AI SMS and voice agents. Apten handles inbound/outbound calls + texts 24/7, automatically follows up at the right time, and syncs with your knowledge base/systems.\n\nHey everyone - we’re Daniel and Roshan, the founders of Apten :)\n\nOver the last 8 months since launching, we’ve helped companies engage tens of thousands of new leads each month.\n\nToday, Apten becomes an AI agent that can both text and call in the exact same way a human does.\n\n<https://youtu.be/3PWHGb96pCE>\n\n# **The Problem**\n\nB2C services companies today **(insurance, home services, financial services, education, etc)** rely on a combination of call centers, dialers, and automated text systems to convert new leads.\n\nFollow-ups are not personalized or are manually done by humans, and leads do not get immediate responses 24/7.\n\n# **Our Solution**\n\nApten is an AI agent that:\n\n* Handles inbound/outbound texts + calls, 24/7\n* Can switch from SMS to voice (and vice versa) at any time in the conversation\n* Guides leads down customizable conversational flows\n* Takes actions with your systems (e.g. pull in quote premiums from an insurance company’s API)\n* Syncs with your knowledge base to pull in relevant info at any time\n\nWhite glove onboarding/support included for every customer!\n\n# **Our Ask**\n\nIf you’re a business that:\n\n* Generates a high volume of leads\n* Uses SMS or phone calls to engage/follow-up w/ leads\n* Wants to introduce AI into their sales and marketing process :)\n\nYou can find us at [http://apten.ai.](http://apten.ai)",
        "url": "https://www.ycombinator.com/launches/Mmf-apten-ai-sms-voice-agents-to-convert-leads",
        "votes": 6,
        "created_at": "2025-02-11T18:52:47.642Z"
      },
      {
        "id": 81132,
        "title": "Apten 💬📲 - AI SMS agents",
        "tagline": "Apten helps businesses automate communication with customers and leads over SMS text",
        "body": "**TLDR:** We help B2C businesses automate sales, marketing, and customer service through SMS text. Customize Apten, and it’ll **proactively reach out, respond at any time, and never forget to follow up.**\n\nHey everyone - we’re [Daniel](https://linkedin.com/in/danielho799) & [Roshan](https://linkedin.com/in/roshan-kumaraswamy), the founders of [Apten](https://www.apten.ai/)! 👋 \n\n![uploaded image](/media/?type=post&id=81132&key=user_uploads/1547400/595aa8ba-e1da-4e01-b095-a4182f7b1836)\n\n# **The Problem**\n\nBusinesses currently rely on humans or traditional SMS automation (drip texting) to qualify and nurture leads. This applies to both inbound leads (e.g., ad -> website -> fills out contact/quote form and leaves phone number) and the re-engagement of existing leads in a CRM. \n\nExample industries where this happens: real estate, insurance, home services\n\n# **The Solution**\n\nAn AI SMS assistant that qualifies and nurtures leads in a **personable way** while responding 24/7 and automatically following up. \n\n[**https://www.youtube.com/watch?v=iuMYEZ4jYHE**](https://www.youtube.com/watch?v=iuMYEZ4jYHE)\n\nCustomize:\n\n* Apten’s knowledge (FAQs, info about your business, specific instructions/rules)\n* Specific conversation flows and follow-up schedules for **different types of leads**\n\nApten won’t just chat - it’ll **take actions** in a way a human would to help your business by proactively:\n\n* Categorizing/tagging leads based on the conversation\n* Creating notifications based on conditions you define\n* Determining the appropriate time to follow-up based on a lead's response\n\n \n\n![uploaded image](/media/?type=post&id=81132&key=user_uploads/1547400/6db38255-433a-4ddb-9826-20ffd76ebd45)\n\nWe’ll provide white-glove onboarding and support the whole way! \n\n# **Our Ask**\n\nIf you’re a business that:\n\n* Collects phone numbers from leads\n* Employs virtual assistants or a contact center\n* Leverages drip texting campaigns or other SMS automation\n\nWe’d love to [talk to you!](https://calendly.com/daniel-attent/20min)\n\nYou can also email us at [founders@apten.ai](mailto:founders@apten.ai)",
        "url": "https://www.ycombinator.com/launches/L6a-apten-ai-sms-agents",
        "votes": 24,
        "created_at": "2024-05-28T14:21:44.061Z"
      }
    ]
  },
  {
    "id": 29572,
    "name": "Domu Technology Inc.",
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    "website": "https://www.domu.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Domu automates debt-collection calls, texts, and emails for financial services and healthcare. We work with some of the largest financial institutions in the world and win by doing what nobody else is willing to do.  We are hiring :)",
    "one_liner": "AI Agents for collections",
    "team_size": 50,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1719086771,
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      "AI Assistant"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
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    "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/domu-technology-inc",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/domu-technology-inc.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/domu-ai/",
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    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 972200,
        "full_name": "Camila Zancanella",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder @ Domu | The Future of Debt Collections\nCamila has 5 years of experience in multiple business areas, data analytics, and data science. She is responsible for building the models to analyze client data to personalize communication flows and decision-making processes. She previously worked at Rappi and Otter (a unit of Cloud Kitchens) and has contributed to research papers by running statistical models for business studies.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/camilazancanella",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1322dec9a670c9638b1bcf7406346e37bd8ab13e.jpg"
      },
      {
        "user_id": 715385,
        "full_name": "Nick Diaz",
        "title": "Founder",
        "founder_bio": "I’ve loved building things since I was twelve. I was a national table tennis player, and I started Domu to change how interactions work in financial services.\n\nI’ve closed more than forty deals with some of the world’s largest banks and insurance companies. But what I’m most proud of is our team; they push me every day at work, at the gym, and on our runs. I can confidently say we are one of the highest-performing teams in San Francisco.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nicolasdiaz27/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/89a598a2ea2d2894751af82e1c6497afb4cec07c.jpg"
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    ],
    "jobs": [
      {
        "id": 77017,
        "title": "Founding SDR or AE (Cash + Equity + Comission)",
        "url": "https://www.ycombinator.com/companies/domu-technology-inc/jobs/EUpHM75-founding-sdr-or-ae-cash-equity-comission",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$70K - $150K",
        "equity_range": "0.01% - 0.05%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 82888,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/domu-technology-inc/jobs/OMYKJIa-senior-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $210K",
        "equity_range": "0.01% - 0.05%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Amazon Web Services (AWS)",
          "Express",
          "Git",
          "PostgreSQL",
          "TypeScript"
        ]
      },
      {
        "id": 95458,
        "title": "UI/UX Product Designer",
        "url": "https://www.ycombinator.com/companies/domu-technology-inc/jobs/68zCbM3-ui-ux-product-designer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "UI / UX",
        "salary_range": "$120K - $160K",
        "equity_range": "0.01% - 0.05%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 97400,
        "title": "Software Engineer Brazil ",
        "url": "https://www.ycombinator.com/companies/domu-technology-inc/jobs/VIjsS9t-software-engineer-brazil",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$70K - $90K",
        "equity_range": "0.01% - 0.05%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 98587,
        "title": "Business Analyst Brazil",
        "url": "https://www.ycombinator.com/companies/domu-technology-inc/jobs/Hb14wWs-business-analyst-brazil",
        "location": "SP, BR / State of São Paulo, BR",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$40K - $60K",
        "equity_range": "0.01% - 0.05%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 115812,
        "title": "Brazil AE (Cash + Equity + Comission)",
        "url": "https://www.ycombinator.com/companies/domu-technology-inc/jobs/y4W1TPx-brazil-ae-cash-equity-comission",
        "location": "São Paulo, SP, BR / São Paulo, São Paulo, BR",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$45K - $55K",
        "equity_range": "0.01% - 0.03%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 81786,
        "title": "Domu - Building AI agents for collections",
        "tagline": "We automate calls, text and emails for the largest financial institutions in the world",
        "body": "[Domu](https://www.domu.ai/) uses generative AI to automate debt collection interactions for  8 of the 20 largest banks and insurance companies across the Americas. \n\nHi everyone, we are [Nico](https://www.linkedin.com/in/nicolasdiaz27/) and [Camila](https://linkedin.com/in/camilazancanella). We met 5 years ago while Cami was finishing her MBA at HEC Paris and Nico working at his previous AI company, after that, we participated in more than 10 hackathons together, and made 450 sales calls to understand the biggest problems in banking and communications, we realized collections was a real issue. So we decided to start Domu. \\\n\\\nAt Domu, we’ve built probably one of the biggest female teams in the current YC batch, and every day, we wake up with the conviction of helping our clients automate sales calls for collections and insurance sales.\n\n![uploaded image](/media/?type=post&id=81786&key=user_uploads/715385/7d888e91-28b8-433f-a2bf-cb0d0e246cdd)\n\n**🚨 The Problem: Nobody likes to collect debt and it’s too expensive**\n\nVery few people in the world like to make calls to charge people money. \\\n\\\nEnterprises struggle with all the back-office tasks to manage call centers or debt collection agencies due to the volume of clients. Manual processes lead to high operational costs and a lack of scalability.\n\nTake our client, a major insurance company, as an example. They manually contact more than 150,000 customers monthly, which is around 500,000 minutes spent on calls😱. This process also involves capturing data, pulling that data, and analyzing it, which usually results in suboptimal outcomes.\n\n**🫡 The Solution: Automated and personalized communications at scale** \\\n\\\nDomu automates customer interactions using GenAI, reducing the need for extensive operational teams. We automate calls and integrate with channels like SMS, WhatsApp, and emails, and give our customers real-time data to track metrics.\n\n💜  By using Domu, companies can:\n\n* Collect the same as humans in 3 months at 40% of the cost. \n* Improve debt collection and conversion rates.\n* Gain real-time insights about their clients to improve communication.\n\n**📈 Opportunity: The immense potential of our market**\n\nFor every large enterprise with thousands of clients, millions are spent on inefficient communication processes and sales agents. By automating these interactions, Domu can save companies substantial amounts and improve their customer relationships.\n\nIn the US alone, the potential savings in the debt collection sector are enormous, with trillions of dollars at stake. Domu's AI-powered solutions provide a significant opportunity for enterprises to enhance their communication efficiency and effectiveness..\n\n**Get in Touch:**\n\n* **Visit us at** [www.Domu.ai](https://www.domu.ai/)\n* **Emails us:** nick@domu.ai\n* **Chat with us over text:** (954) 445-3188‬",
        "url": "https://www.ycombinator.com/launches/LH8-domu-building-ai-agents-for-collections",
        "votes": 22,
        "created_at": "2024-06-27T23:42:48.328Z"
      }
    ]
  },
  {
    "id": 29579,
    "name": "Understood Care",
    "slug": "understood-care",
    "former_names": [
      "Ply Health",
      "Inc",
      "Ply Health"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/895bc73d946362c90b0900dbf85005b76c9c34c9.png",
    "website": "https://understoodcare.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "The American healthcare system is complicated. 88% of US adults cite difficulties navigating the healthcare system. \r\n\r\nThe good news is patient advocacy became a covered benefit by Medicare in 2024. \r\n\r\nUnderstood Care matches Medicare patients with a healthcare personal assistant (known as a Patient Advocate) at little to no cost to the patient. Patient Advocates help patients patients access care - finding resources, helping fill out paperwork, and much more. \r\n\r\nUnderstood Care uses AI and healthcare expertise to deliver the highest quality patient advocacy to the 68 million Medicare patients in the US. ",
    "one_liner": "Healthcare personal assistants for Medicare patients.",
    "team_size": 7,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1715876832,
    "tags": [
      "Health Tech",
      "Healthcare",
      "Health Insurance",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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    ],
    "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": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Understood Care advocacy will greatly reduce non-medical barriers to care for Medicare patients.Patient advocacy has two fundamental components - a search component and a delivery component.As an example, a common problem for our patients is around transportation. Patients who can no longer drive need alternative transportation to go to doctor’s appointments, shops and social events. However, there are two main issues:\\* **Search problem:** Though there are county, state, insurance and non-profit sponsored transportation programs, they are not well advertised. Each program has their own bespoke qualification criteria. Patients can’t tell find the right solution.\\* **Delivery problem:** The application process for a program usually involves long forms asking for extensive information. Patients need help completing paperwork.At Understood Care, we are solving both problems with the use of AI agents.Our advocate agent centralizes and progressively learns from the collective expertise of every Understood Care advocate as well as previous successful patient encounter to confidently identify and predict with the most relevant, accurate, and statistically best solution for our advocates to present to the patient.Our workflow agent automates tasks such as form completion and real-time note-taking, helping our advocates solve the patient’s problem faster."
      }
    ],
    "url": "https://www.ycombinator.com/companies/understood-care",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/understood-care.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/understood-care",
    "x_url": "",
    "fb_url": "https://www.facebook.com/understoodcare",
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/895bc73d946362c90b0900dbf85005b76c9c34c9.png",
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    "company_photos": [],
    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1753723,
        "full_name": "Samantha Wu",
        "title": "Founder/CEO",
        "founder_bio": "Understood Care (fka Ply Health) Co-founder. Previous Head of Bizops @ Finni (W23). Previously @ Cedar, SiteRx, Carlyle, Evercore. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/samanthawu/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/393068defb1a81095b51804a1162570edfa9767d.jpg"
      },
      {
        "user_id": 4311795,
        "full_name": "Kevin Bailey",
        "title": "Founder",
        "founder_bio": "Co-Founder @ Understood Care; Ex-Uber & Ex-Postmates",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kevin-bailey-2951b0162/",
        "x_url": "https://x.com/kevinwooof",
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      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Understood Care raises $8.4M for patient advocacy",
        "url": "https://www.axios.com/pro/health-tech-deals/2026/03/16/understood-care-8m-patient-advocacy",
        "date": "Mar 16, 2026"
      }
    ],
    "launches": [
      {
        "id": 93210,
        "title": "Understood Care: AI Powered Patient Advocacy",
        "tagline": "Delivering high quality, Medicare covered patient advocacy to the 68 million Medicare patients in the US.",
        "body": "### **What is Understood Care?**\n\n[Understood Care](https://understoodcare.com/) is a virtual patient advocacy platform for patients with Medicare.  \n\nAdvocates are administrative assistants with healthcare expertise that unblock access to care for patients. Advocates can help patients find transportation, schedule appointments, apply for financial aid and much more. We use AI to help advocates deliver superior advocacy at scale. \n\nPatient advocacy became a new Medicare covered benefit in 2024. Most Understood Care patients pay $0 out of pocket.  \n\n![uploaded image](/media/?type=post&id=93210&key=user_uploads/1753723/334db23e-a29e-4633-bfb1-57c94259e184)\n\n### **The Problem**\n\nThe American healthcare system is notoriously complex. 72% of insured adults lack confidence in managing their health insurance and benefits.\n\nFor the **68 million Medicare beneficiaries,** these challenges are even greater. Barriers in technology, finances, and health literacy often keep Medicare patients from accessing care, driving worse health outcomes and higher costs to the system.\n\nThe number of patients experiencing this problem is only growing. By 2030, the number of Medicare beneficiaries is projected to reach 80 million. \n\n### **How does Understood Care work?**\n\n1️⃣ Patient signs up on website or by calling in.\n\n2️⃣ We check the patient’s insurance eligibility and complete a patient intake with our clinical team.\n\n3️⃣ We get the patient matched with the advocate that best fits their needs.\n\n4️⃣ The advocate uses Understood Care’s clinical expertise and AI tools to resolve each patient’s unique care needs.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeu763mRuapSrYOVLGo_5FCjlG0c_9dUyncnOXfW1wNKvcmZr9Y51pfCvcFMcNAfe12p3dyfLAXTWQH9PkJ-IHExh3SWaC7KPoplpAYsE_YRTVWE2TUkHG3YlUAMB0vLHLO7YptTw?key=MP2f1P5qm-uzbzkuGXiGIg)\n\nExamples of problems we’ve helped patients tackle:\n\n⚠️ **Problem:** Patient could no longer drive to his appointments.\n\n✅ **Solution:** We set the patient up with free county medical transportation. \n\n⚠️ **Problem:** The patient did not have money to afford proper food.\n\n✅ **Solution:** We signed the patient up for a program that delivers free nutritious meals to low income seniors. \n\n⚠️ **Problem:** Patient received a new diagnosis and was overwhelmed.\n\n✅ **Solution:** We helped the patient go over the doctor’s instructions and scheduled appointments with in network specialists.\n\n### **Milestones**\n\n⭐ We helped our first patient in April and are currently supporting 300+ patients.\n\n⭐ Active in 40 states.\n\n⭐ Able to accept Medicare, UHC, Humana and Aetna (top 3 Medicare Advantage plans).\n\n### **Team**\n\nUnderstood Care is built by a team fluent in AI, healthcare operations, and clinical care. \n\n![uploaded image](/media/?type=post&id=93210&key=user_uploads/1753723/e2f97acd-32f9-42d0-a5e0-5236e7ff6646)\n\n[Sam](https://www.linkedin.com/in/samanthawu/) (CEO) was an operator at several high growth healthcare tech startups including Finni, SiteRx, and Cedar. Ex-Carlyle, ex-Evercore. \n\n[Kevin](https://www.linkedin.com/in/kevin-bailey-2951b0162/) (CTO) was a previous 2x founder (1x in browser tech, 1x in enterprise VDI). Ex- Uber/Postmates.\n\n[Dr. Adam Bonder ](https://www.linkedin.com/in/adam-j-bonder-md-mba-83b7a254/)(Medical Director) was previously the Medical Director at a VC backed behavioral health practice and is a actively practicing ER doc.\n\n### **Asks**\n\n✔️ Please share [our website ](https://understoodcare.com/)with friends or family that could benefit from our services. \n\n✔️ Please help us spread the word to other healthcare and community organizations - we accept [referrals](https://understoodcare.com/refer) through our website.\n\n✔️ Give us a follow on [LinkedIn](https://www.linkedin.com/company/understood-care) and [Facebook](https://www.facebook.com/understoodcare).",
        "url": "https://www.ycombinator.com/launches/OFO-understood-care-ai-powered-patient-advocacy",
        "votes": 39,
        "created_at": "2025-08-20T22:51:27.317Z"
      },
      {
        "id": 81329,
        "title": "🍃 Ply Health: Get providers in network faster",
        "tagline": "We use AI to get behavioral health providers in network, so they can start billing twice as fast.",
        "body": "### tl;dr\n\nProviders need to get in network with insurance companies, but the process is time-consuming and an administrative headache. We ingest provider information and use AI to automate submissions, saving providers months of waiting.\n\n### ❌ The Problem\n\nBeing in network with a health insurer is critical for both patients and providers:\n\n* For patients, seeing in network providers means dramatically lower healthcare costs. This informs which providers they choose and whether they can even afford to visit one.\n* For providers, being in network means a bigger pool of potential patients. It also simplifies billing and reimbursement.\n\nHowever, the process of getting a provider in network is highly manual and fragmented. There are approximately **1,400** payers in the US, each with their own enrollment process. Some of these processes involve painstakingly filling out 50+ page forms.\n\nOn top of burning hours of administrator time, delays are costly. A single incorrect field can push back cases by months. With providers billing $3,000/week, this costs healthcare practices **tens of thousands of dollars per provider**.\n\n### ⭐ Our Solution\n\nWe provide standardized questionnaires to collect all required provider information and documents. Our customers are then able to request a new network enrollment in just a few clicks instead of spending hours navigating insurance websites to find the correct forms.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXcMXSY2xKtBcO4T1bMrr_zU44eg-Shd1X_9JaM3loR6QgKdsuVHkOByIopdf09h2mBDLkIN563IS6LnLwhLnwQrvpoJKiG3qxYI6sAyIFgs6VCP0o-Eq-Y4niQc9koDRqzATtjI71T-pZFVZCBWP1jRbrE?key=qI7khypm2_NJ8SwqwOuqbw)\n\nOn the backend, we’re automating each part of the enrollment process. We also have an experienced ops team as humans-in-the-loop to make sure everything is processed correctly. This ensures that enrollments are completed quickly and accurately, our customers’ two most important KPIs.\n\nOur product is currently optimized for behavioral health providers. We are working quickly to expand into other specialties. \n\n### 📈 Results with Ply\n\nWe are currently working with practices such as Finni Health, Legion Health, Anna Autism Care, Shasta Health, and Birches Health. \n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXfVVy8FtGG_dzB_Ok3lF30vt2HSlARjOP6gSLJxnRd52W9JDim6lUK79dMrMHCBKQrOW21-FgFVzw7PUXMc5dw2zQqJG6_dRPQ9l-0d1QQl8c4IN-lLTWQeuxSPjZweagiSJcKRq-hjVWkkud8rI_oBCU2k?key=qI7khypm2_NJ8SwqwOuqbw)\n\nFor our customers, we’re getting in network **2x - 3x** **faster** compared to alternative solutions, helping them earn additional **hundreds of thousands of dollars** in billing revenue.\n\n### 🧑‍💻 The team\n\n![uploaded image](/media/?type=post&id=81329&key=user_uploads/1753723/1187d057-d8f6-4f2d-9472-44b209b86df4)\n\n_We’ve been friends for over 15 years but don't actually have pictures together because we’re both camera shy_\n\n**Sam** started her career in finance (M&A IB, then large cap PE) before realizing that she was meant to be a startup operator. She discovered the pain point of contracting and credentialing first hand when she was running BizOps at Finni Health. \n\n**David** is a pre-med turned software engineer with a specialty in building scalable backend systems at Meta and Snap. \n\n## 🙏 The ask\n\nIf you’re a behavioral health practice or are friends with one, we’d love to chat! Please reach out at [hello@plyhealth.com](mailto:hello@plyhealth.com) or book a demo on our [website](https://www.plyhealth.com/). \n\nIf you’re at a behavioral health insurance payer, or are friends with one, we’d love to chat about potential partnerships. Please reach out at [hello@plyhealth.com](mailto:hello@plyhealth.com).\n\nIf nothing else, we’d appreciate sharing our launch and following us on [LinkedIn](https://www.linkedin.com/company/plyhealth)!",
        "url": "https://www.ycombinator.com/launches/L9l-ply-health-get-providers-in-network-faster",
        "votes": 21,
        "created_at": "2024-06-05T23:06:00.161Z"
      }
    ]
  },
  {
    "id": 29607,
    "name": "ProhostAI",
    "slug": "prohostai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/069321145273b85ba7d87787840c61562c041b8f.png",
    "website": "https://www.prohost.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "ProhostAI is building an AI Property Manager for short-term rental hosts on Airbnb and other platforms. Our team consists of an ex-Airbnb Staff Data Scientist and Dropbox Sr Software Engineer who are also Superhosts with 9 properties worth $15M making $1.5M/yr.",
    "one_liner": "AI Property Manager for Airbnb & Short-Term Rental Hosts",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1722581917,
    "tags": [
      "SaaS",
      "B2B",
      "Travel",
      "AI",
      "AI Assistant"
    ],
    "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/prohostai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/prohostai.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/prohostai",
    "x_url": "https://twitter.com/prohostai",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/prohostai",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/069321145273b85ba7d87787840c61562c041b8f.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 1847372,
        "full_name": "Bill Ulammandakh",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO at ProhostAI. Previously Staff Data Scientist at Airbnb, Etsy, Thumbtack and Wayfair. Harvard undergrad.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bulam/",
        "x_url": "https://twitter.com/bilguunu",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c5b1132f4d19cd96295cfd328da8dbc1171b3751.jpg"
      },
      {
        "user_id": 1847465,
        "full_name": "Andrew Lawson",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO at ProhostAI. Previously Software Engineer at Dropbox, JWPlayer, and others.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aeriklawson/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/878fe6c85fddbb90bc9ac6505c46283c5aaca110.jpg"
      }
    ],
    "jobs": [
      {
        "id": 68411,
        "title": "Founding Engineer, Full Stack",
        "url": "https://www.ycombinator.com/companies/prohostai/jobs/E50Yl4C-founding-engineer-full-stack",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $180K",
        "equity_range": "0.20% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 101922,
        "title": "ProhostAI 🏨 AI Employees for Property Management and Hospitality",
        "tagline": "Meet ProhostAI — AI employees that answer guests, take calls, coordinate cleanings, create tasks, build guidebooks, and run hospitality operations from one AI-native OS.",
        "body": "Hi YC! I’m Bill from the ProhostAI team.\n\n**TL;DR:** We're launching AI employees for property management and hospitality. They answer guests, take calls, coordinate cleanings, create tasks, build guidebooks, drive bookings, and help run operations — from one AI-native OS. 8,000+ properties on the platform today. Founded by a team from Airbnb, Dropbox, and Guesty (Harvard + Yale) — and we're property managers ourselves, running a $12M AUM portfolio. Backed by Y Combinator, Pear VC, and other investors. [Try it →](https://prohost.ai/ai-employees)\n\n![uploaded image](/media/?type=post&id=101922&key=user_uploads/1847372/9e218d0a-16c5-4285-8de3-e6374d1ad16b)\n\n## The problem\n\nProperty management and hospitality teams still run operations through a tangled stack: inboxes, PMS tools, spreadsheets, phone calls, manual coordination, and a dozen point solutions that don't talk to each other.\n\nThe \"AI\" in this space today is mostly chatbots that answer guest messages. That's a feature, not a workforce.\n\n## What we built\n\nProhostAI's AI employees do real operational work — alongside the humans running the business. They can:\n\n* **Answer guests** across Airbnb, Vrbo, [Booking.com](http://Booking.com), SMS, WhatsApp, email — omnichannel and context-aware\n* **Take and place phone calls**\n* **Create and assign tasks** to teammates\n* **Coordinate cleaners** and schedule turnovers\n* **Power guidebooks** for properties and businesses\n* **Drive bookings and upsells**\n* **Keep human teammates aligned** across operations\n* **Run AI workflows** across the operational lifecycle\n\nOne AI-native OS — built so human teams and AI employees can work side by side.\n\n## The AI employees available for hire:\n\nOur AI employees are available across different professions:\n\n* **Gabby** — Guest Experience Manager\n* **Claudia** — Cleaning Manager\n* **Miles** — Maintenance Manager\n* **Rex** — Revenue Optimizer and PriceLabs auditor\n* **Owen** — Owner Relations Manager\n* **Regina** — Reputation Manager\n* **Grace** — Guidebook Manager\n* **Finn** — Finance Manager\n* **Quinn** — Quality Inspector\n* **Gina** — General Manager\n* **Vera** — Virtual Assistant\n\nHire the ones you need; add more as you scale.\n\n## MCP — bring your own agents\n\nWe ship an MCP (Model Context Protocol) server, so other AI agents — Claude, ChatGPT, custom in-house agents — can collaborate directly with the ProhostAI AI employees. If you've already built AI workflows, plug them in instead of starting over.\n\n## Why now\n\nThe next generation of hospitality companies will be run by human teams working side by side with AI employees. We're starting with short-term rentals because the work is high-volume, repetitive, and deeply operational — exactly where AI teammates make an immediate difference.\n\nFrom there: vacation rental managers, boutique hotels, broader hospitality and property operations.\n\n## Traction\n\nProhostAI now supports **8,000+ properties on the platform**, including paid customers and operators using our feature-rich free plan. Founded by a team from **Airbnb, Dropbox, and Guesty** (Harvard + Yale alumni) — and we're property managers ourselves, running a **$12M AUM short-term rental portfolio**. We use ProhostAI every day. Backed by **Y Combinator, Pear VC, and other investors**.\n\n## Our backstory\n\nWe've been deep in this space and have watched operators copy-paste the same messages thousands of times, miss calls overnight, lose cleanings to chaos, and string together five tools to do what one OS should handle. We built ProhostAI to make AI employees the new labor layer for hospitality — not another dashboard, not another inbox.\n\n## Our ask\n\n* **If you run STR, vacation rentals, or hospitality ops** — connect Airbnb or your PMS and your first AI employee can start helping in minutes: [prohost.ai/ai-employees](https://prohost.ai/ai-employees)\n* **If you know property managers, hosts, or hospitality teams** who'd benefit — please share or intro\n* **If you want to chat** — DM me on Bookface or email [bill@prohost.ai](mailto:bill@prohost.ai)\n* **For press/media:** [press kit (logos, screenshots, GIFs)](https://drive.google.com/drive/folders/1kQEauMZYT4H-fXADYS9bNvgHQ1AjBN7q?usp=sharing)\n\nThanks YC 🚀\n\n— Bill &amp; the ProhostAI team",
        "url": "https://www.ycombinator.com/launches/QVu-prohostai-ai-employees-for-property-management-and-hospitality",
        "votes": 3,
        "created_at": "2026-05-25T14:48:51.997Z"
      },
      {
        "id": 83739,
        "title": "ProhostAI - AI property manager for Airbnb hosts",
        "tagline": "AI property manager assistant for hosts on Airbnb and other booking platforms.",
        "body": "[**ProhostAI**](https://www.prohost.ai/) **is an AI property manager assistant for hosts on Airbnb and other booking platforms.**  We run 9 Airbnb properties as Superhosts (4.99+ rating) worth $15M, and our AI automations have already cut our own costs by 30% and automated 70% of guest communications.\n\n**Our key features:**\n\n* **AI for Guest Communications:** AI agent drafts responses to every guest message\n* **AI for Maintenance Ticketing & Cleaning Management**\n* **AI for Revenue Generation** with automated guest upsells\n\nAll of this with a first class mobile app, because most hosts manage their properties from their phones!\n\n![uploaded image](/media/?type=post&id=83739&key=user_uploads/1847372/efb9d4f7-c541-47e8-9c1f-505cdfff39c1)\n\n### Our Founding Team\n\n[**Bill**](https://www.linkedin.com/in/bulam/)\n\n* **Bill was a Staff Data Scientist, Algorithms at Airbnb for 6+ years, building AI & ML products** \n  * 3 AI patents for products implemented at Airbnb that drove hundreds of millions in revenue\n* 9+ years total in data science (Etsy, Wayfair, Thumbtack)\n* Undergrad from Harvard\n\n[**Andrew**](https://www.linkedin.com/in/aeriklawson/)\n\n* **Andrew was a Sr Software Engineer at Dropbox for 6+ years,** working on their API Platform handling millions of requests per second \n* 9+ years as a software engineer\n\nWe are Airbnb hosts with 9 properties, 4.99+ ratings across 1000+ guest reviews, and $1.5M/yr revenue. We've been hosts for 5+ years.\n\n### Why we are building ProhostAI\n\n* **70% of things a host has to do can be automated with no intervention today**\n  * Guest communications, cleaning coordination & communication, and maintenance ticket management are repetitive and simple tasks ripe for automation with LLMs and AI agents with a high-quality mobile-first experience.\n* **80%+ of hosts use no SaaS tools yet** but are ready to professionalize their operations with better tools.\n* **Airbnb hosts are digitally native, working from their mobile phones all the time**, and highly likely to adopt new technologies to improve their operations.\n* **SaaS for hosts is a $5B market** with 10 million short-term rental listings globally!\n\n![uploaded image](/media/?type=post&id=83739&key=user_uploads/1847372/219c2d72-5762-4e81-981e-1316c2390e94)\n\n## **🚀Asks**\n\n1. **If you are a host, join our waitlist at** [**prohost.ai**](https://www.prohost.ai) or shoot me an email at [bill@prohost.ai](mailto:bill@prohost.ai)!\n2. **Share our website with others hosts** and have them join our waitlist!\n3. **Follow us on **[**LinkedIn**](https://www.linkedin.com/company/prohostai/)** and **[**X**](https://x.com/prohostAI)**.**\n4. **If you are using Hostaway or Guesty for Pros to manage your properties,** we can get you set up right away! Sign up for a free trial [**here**](https://app.prohost.ai/register) or [**book a demo**](https://calendly.com/bill-prohost/prohostai-demo) ",
        "url": "https://www.ycombinator.com/launches/Lmd-prohostai-ai-property-manager-for-airbnb-hosts",
        "votes": 35,
        "created_at": "2024-09-04T15:36:31.502Z"
      }
    ]
  },
  {
    "id": 29634,
    "name": "Random Labs",
    "slug": "random-labs",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc21f071bc440027719fe93cbb326886a0f83528.png",
    "website": "https://randomlabs.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Random Labs is building Slate. Slate is a coding agent designed to work with you for long hours on hard problems.",
    "one_liner": "Random labs is building long running autonomous coding agents.",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1725599788,
    "tags": [
      "Developer Tools",
      "Open Source",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 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": [
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "We are making software engineering agents and code generation tools for every person. As more and more people realize they can code now, we will enable them to create. It’s a huge problem because there is infinite software to build if we want to improve life on earth, yet, theres nowhere near enough talent to build it. This tech will make it possible for anyone to create."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "If we succeed, everyone will be able to code, and the number of software jobs available with grow by an insanely large number (10-20 million more devs)."
      }
    ],
    "url": "https://www.ycombinator.com/companies/random-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/random-labs.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/in/mihir-chintawar-95008a1b9/",
    "x_url": "https://x.com/0xrandomlabs",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/entropy-research",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc21f071bc440027719fe93cbb326886a0f83528.png",
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    "company_photos": [],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 1255731,
        "full_name": "Kiran (Random Labs)",
        "title": "Founder/CEO",
        "founder_bio": "Building code generation tools",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kiranillindala",
        "x_url": "",
        "avatar_thumb_url": "/avatars/thumb/missing.png"
      },
      {
        "user_id": 969676,
        "full_name": "Mihir Chintawar",
        "title": "Founder/CTO",
        "founder_bio": "CTO@Random Labs",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/mihir-chintawar-95008a1b9",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9bf3b3243eadb17f688b69d994091b7ad027232f.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 83813,
        "title": "Random Labs: An open source software agent that lives in your codebase",
        "tagline": "A 1,155,075 line codebase should feel like Playdough.",
        "body": "**_Software is like playdough. It morphs into the creators desires._**\n\n**_Or at least it should._**\n\nThis is what fundamentally drives us as a company. We believe that software development should stay in the hands of people. We believe that there is near infinite software the world needs and that there are not enough developers to build it.\n\nThis leads us to the problem we are solving. _We are making it possible for the next 20 million engineers to come online._ We believe AI tools can be used to create jobs, not replace them. And we believe that open-source tools will continue to be the path forward for developers.\n\nMost software agent companies have deeply optimized for swe-bench. However, this is not a representative task. We are building tooling we actually use. It’s written parts of itself already and we are extremely excited to share it with you.\n\n**How are we building this?**\n\nOur approach is to start with the IDE. Developers are most comfortable in the ide, so that’s where we are starting. We are integrating our agent directly, and it is able to make changes across massive codebases (below is it writing a feature in the cal\\[.\\]com codebase which is 1,155,075 lines long at the time of writing).\n\nSo, we are making an agent that is capable of _living in your codebase_ with almost perfect context.\n\nIt’s not just autocomplete. It’s not just chat with your codebase. It’s something beyond a software workflow. Our tooling makes the code feel fluid.\n\n_And thats special._\n\nHere it is editing the codebase:\n\n![uploaded image](/media/?type=post&id=83813&key=user_uploads/1255731/4031240e-27ca-4452-9c69-a36670ddd18f)\n\n\nHere is the resulting component:\n\n![uploaded image](/media/?type=post&id=83813&key=user_uploads/1255731/60472093-b735-42ec-a6b5-36aa98691331)\n\n**Our ask!**\n\n1. If you’re interested in using our tool once it launches, please join the waitlist here: <https://akfucniuesi.typeform.com/to/xz8C2Jpg>\n2. If you’re interested in helping us build this, PLEASE reach out at [founders@randomlabs.ai](mailto:hello@randomlabs.ai)",
        "url": "https://www.ycombinator.com/launches/Lnp-random-labs-an-open-source-software-agent-that-lives-in-your-codebase",
        "votes": 44,
        "created_at": "2024-09-06T05:56:13.070Z"
      }
    ]
  },
  {
    "id": 29644,
    "name": "VideoGen",
    "slug": "videogen",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/67133b6c1025c9a5557fc657b87ed61ad2b540c5.png",
    "website": "https://videogen.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "VideoGen makes it easy for anyone to create professional, copyright-free videos in seconds. Our AI video generator turns a prompt, script, or article into a finished video, complete with AI voiceover, subtitles, and b-roll, powered by the latest models like Seedance, Veo, ElevenLabs, and Kling. Today, over 5 million users trust VideoGen, from individuals and small businesses to teams at Google and ByteDance.\r\n\r\nMaking videos is hard, time-consuming, and expensive if you hire someone to do it for you. With VideoGen, it only takes a few clicks! Try it at https://videogen.io/, or build video into your own product with our API: https://videogen.io/videogen-api",
    "one_liner": "Create professional videos in minutes with AI, online or via API",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1725431613,
    "tags": [
      "eLearning",
      "Video",
      "API",
      "Marketing",
      "AI Assistant"
    ],
    "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": [
      {
        "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": "👋 Hello, we’re Anton and David. We bootstrapped VideoGen out of our college dorm rooms to over 1 million users in under a year. We met at a Tennis Academy in middle school and became friends over a shared passion for building web apps and playing tennis. Now, we’re changing the way the world creates videos with the help of AI."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Making videos is hard. Each step of the process—scripting, recording voice-overs, finding and licensing high-quality footage, and editing—is extremely time-consuming. Video editing products today are hard to use and have too many buttons. Paying someone to make videos for you is expensive and slow."
      }
    ],
    "url": "https://www.ycombinator.com/companies/videogen",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/videogen.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/videogen",
    "x_url": "https://x.com/VideoGenApp",
    "fb_url": "https://facebook.com/videogenapp",
    "cb_url": "https://www.crunchbase.com/organization/videogen",
    "github_url": "https://github.com/video-gen",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/67133b6c1025c9a5557fc657b87ed61ad2b540c5.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/9a4655d5f100bdbd91ace8ba42cb0c527773e0a0.png"
    ],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 1009656,
        "full_name": "Anton Koenig",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of VideoGen. I previously interned at AWS and dropped out of UMass Amherst Computer Science to focus on VideoGen full-time.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/antonckoenig",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e6ebbb2ec5fc1aa22e7293d5e3494babaa34fb38.jpg"
      },
      {
        "user_id": 1009662,
        "full_name": "David Grossman",
        "title": "Founder/CTO",
        "founder_bio": "I'm the cofounder and CTO of VideoGen (S24), a platform for generating professional videos using AI. Before this, I studied Computer Science and Applied Math at Brown and interned at Palantir.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/dg314",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/54f092f9c892e50799efcc00ad5c1c9e6a007afd.jpg"
      }
    ],
    "jobs": [
      {
        "id": 98091,
        "title": "Founding Growth Lead",
        "url": "https://www.ycombinator.com/companies/videogen/jobs/F4gBXxU-founding-growth-lead",
        "location": "San Francisco, CA / Remote (US; GB)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$175K - $225K",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 83780,
        "title": "VideoGen – Generate professional videos in seconds",
        "tagline": "Introducing VideoGen, the world's first AI that can create and edit videos for you.",
        "body": "<https://www.youtube.com/watch?v=unJnvJqdN28>\n\n**TLDR:** [VideoGen](https://videogen.io) makes it easy for anyone to create professional, copyright-free videos in seconds. Today, we serve thousands of customers, from individuals and small businesses to teams at Google and ByteDance. Making videos is hard, time-consuming, and expensive when outsourced. With VideoGen, it only takes a few clicks!\n\n![uploaded image](/media/?type=post&id=83780&key=user_uploads/1009656/0cd0d883-05cf-413b-b11b-aca79175e512)\n\n👋 Hello, we’re Anton and David. We bootstrapped VideoGen out of our college dorm rooms to over 1 million users in under a year. We met at a tennis academy in middle school and became friends through our shared passion for building web apps and playing tennis. Now, we’re changing how the world creates videos with the help of AI.\n\n### **The Problem: Creating videos is tedious, painful, and hard.**\n\nMaking videos is hard. Each step of the process—scripting, recording voice-overs, finding and licensing high-quality footage, and editing—is extremely time-consuming.\n\nVideo editing products today are hard to use and have too many buttons. Paying someone to make videos for you is expensive and slow.\n\n### **The Solution: AI that creates videos for you.**\n\nVideoGen can automatically edit professional videos together in a few seconds, saving our customers time and the pain of hiring a video editor.\n\nIn just a few clicks, VideoGen can:\n\n​​🧠 Take in company/brand knowledge and media\n\n​​✍️ Write a video script\n\n🗣️ Generate a lifelike voice-over\n\n✂️ Edit together relevant, copyright-free footage\n\n💬 Add captions\n\nVideoGen does this all in over 100 languages and accents for a global user base.\n\nOnce your video is done, you can add your finishing touches in an easy-to-use, web-based video editor.\n\n### **Try the API – Get $1,000 in free credits (YC Deal)**\n\nAre you interested in integrating VideoGen with your app? Reach out to us at [founders@videogen.io](mailto:founders@videogen.io)",
        "url": "https://www.ycombinator.com/launches/LnI-videogen-generate-professional-videos-in-seconds",
        "votes": 21,
        "created_at": "2024-09-05T05:55:06.217Z"
      }
    ]
  },
  {
    "id": 29670,
    "name": "Zuni",
    "slug": "zuni",
    "former_names": [
      "Letterhead",
      "Solarflare"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/54c16278e26e312781305ede7147b41779a30619.png",
    "website": "https://zuni.app",
    "all_locations": "London, England, United Kingdom; Remote",
    "long_description": "Zuni builds AI agents that take on high-value professional work end-to-end - the email, admin, and internal tooling that eats a knowledge worker's week.",
    "one_liner": "AI agents for high-value professional work",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1721689611,
    "tags": [
      "Generative AI",
      "Productivity",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "United Kingdom",
      "Europe",
      "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/zuni",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/zuni.json",
    "year_founded": 2024,
    "city": "London",
    "country": "GB",
    "linkedin_url": "",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/54c16278e26e312781305ede7147b41779a30619.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": 813570,
        "full_name": "George Seabridge",
        "title": "Founder",
        "founder_bio": "Building AI agents for professional work",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/george-seabridge/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5d077cf5e3de8d57c839c90f781bebb3ff5e902e.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": []
  },
  {
    "id": 29687,
    "name": "MinusX",
    "slug": "minusx",
    "former_names": [
      "minusone.ai",
      "minusx.ai"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/92dbd9d186e22d922d985755f90407e21859378a.png",
    "website": "https://minusx.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "MinusX is a state-of-the-art data agent that can build the best dashboards for your data, and notify you when something's up. You can interrogate all your data on our open source BI platform via Slack or MCP. Connect your data, and put agents to work.",
    "one_liner": "Open source agentic BI for founders",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1722024736,
    "tags": [
      "Machine Learning",
      "Analytics",
      "Data Science",
      "AI",
      "AI Assistant"
    ],
    "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/minusx",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/minusx.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/minusx-ai",
    "x_url": "https://twitter.com/minusxai",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/minusxai",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/92dbd9d186e22d922d985755f90407e21859378a.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": 164724,
        "full_name": "Vivek Aithal",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of MinusX. Spent the last 3 years as a research engineer building the world's best open-source autonomous driving agent at comma.ai. Currently building a data science agent that can sit in your browser and use all your data tools. UC Berkeley and IIT Kharagpur grad. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vivek-aithal-575b207b/",
        "x_url": "https://twitter.com/nuwandavek",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/430c252ee108b6b83096cba330f4b1b46f7c26ab.jpg"
      },
      {
        "user_id": 1798297,
        "full_name": "Sreejith Puthanpurayil",
        "title": "Founder",
        "founder_bio": "Co-Founder & CTO of MinusX. Previous stints include Ads Delivery & Ranking at Meta, Ride-hailing backend & infra at Gojek, & full stack at Elanic, a social c2c marketplace (acquired by Share Chat)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ppsreejith",
        "x_url": "https://twitter.com/ppsreejith_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/51ad324025788a0b7a4961ab7b419a0b20b734ff.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 82787,
        "title": "MinusX: AI Data Scientist for Jupyter and Metabase",
        "tagline": "An AI data scientist that is a scientist, not yet-another-new-analytics-platform.",
        "body": "# **TL;DR**\n\nMinusX is a Chrome Extension that adds a side chat to Jupyter and Metabase. Given an instruction, our agent operates the apps— via clicking and typing— to analyze data and answer queries. We strongly believe that you already have all the tools you need; you just need someone like MinusX to use them! Checkout [**minusx.ai**](http://minusx.ai) for more info.\n\n<https://youtu.be/lcO9XGofW40>\n\n# **Asks**\n\n1. Install our [**Chrome extension**](https://minusx.ai/chrome-extension).\n2. Take MinusX for a spin in our [**playground**](https://minusx.ai/playground)!\n3. We’re working on supporting more tools. Want us to hurry up, or don't see your favorite tool in our list? Here’s a [**google form**](https://minusx.ai/tool-request) you can fill out so that we can notify you when we support your tool!\n\n# **Features**\n\n### 1\\. Generate Hypotheses and Explore data\n\n![uploaded image](/media/?type=post&id=82787&key=user_uploads/164724/53f4faaf-4dae-4226-9037-4142ffea5462)\n\n### 2\\. Interop with MinusX to modify existing Jupyter notebooks or Metabase Questions\n\n![uploaded image](/media/?type=post&id=82787&key=user_uploads/164724/259d0be2-0f20-4440-90af-84cae7297264)\n\n### 3\\. Select a region and ask questions, or ask for modifications\n\n![uploaded image](/media/?type=post&id=82787&key=user_uploads/164724/40ed2aeb-29c3-42c8-9e9b-3b1d96b866ae)\n\n# **Pain**\n\n* Lack of data analyst/data scientist bandwidth is a certified pain.\n* If you’re a programmer, you just want answers. If you’re a product manager, you just want answers. If you’re an analyst/scientist, you want 10 clones of yourself.\n* Any new fancy “talk-to-data” platform is a whole thing. You have to migrate your data, and you have to convince your whole team to move— just to start using it.\n* Working in ChatGPT / Claude requires constant copy-pasting. Also, you want to inter-operate with AI, make corrections when it messes up, and guide it rather than just admonish it in chat.\n* More importantly, they’re still just chat! No AI system today can really use analytics software - click and type - to get you that data you needed 5 minutes ago.\n\n# **Our Approach**\n\n> ### **_An AI Data Scientist is a Scientist, not yet-another-new-analytics-platform_**\n\n* Advanced agents should just work with tools you already use and get out of the way.\n* MinusX integrates seamlessly into workflows. You can invoke it only when you need it to do something.\n* Whether you’re a data analyst, programmer, or product manager, you can use MinusX to speed up your workflows instantly.\n* We believe the path to advanced agents runs through specialized, useful intermediaries.\n\n# **Team**\n\n![uploaded image](/media/?type=post&id=82787&key=user_uploads/164724/8f305720-54ba-4af7-9303-8125b9f02f2a)\n\nWe love to build stuff. We met about a decade ago in the drowsy hinterlands of IIT Kharagpur and have been building things together at work, on side projects, and at hackathons ever since. ​​[**Vivek**](https://x.com/nuwandavek) was most recently a Research Engineer working on self-driving cars at [**comma.ai**](http://comma.ai/), [**Sreejith**](https://x.com/ppsreejith_) was a Senior Engineer in the Meta shops ads ranking team optimizing Facebook Shops Ads delivery & core infrastructure, and [**Arpit**](https://x.com/arpit_tarang) was building a warehouse robot fleet as a Product Engineer at Udaan. We have extensive experience in machine learning, data infrastructure, and systems engineering needed to build the best, most delightful class of Data Science agents you'll ever use.\n\n# **Ask(ing again!)**\n\n1. Install our [**Chrome extension**](https://minusx.ai/chrome-extension).\n2. Take MinusX for a spin in our [**playground**](https://minusx.ai/playground)!\n3. We’re working on supporting more tools. Want us to hurry up, or don't see your favorite tool in our list? Here’s a [**google form**](https://minusx.ai/tool-request) you can fill out so we can notify you when we support your tool!\n\nIf you have any questions or comments, you can join our [**discord**](https://minusx.ai/discord) or ping me anytime at [**vivek@minusx.ai**](mailto:vivek@minusx.ai). Hope you enjoy using MinusX as much as we enjoy building it!\n\n### ❤️\n\n![uploaded image](/media/?type=post&id=82787&key=user_uploads/164724/a35b579f-ea8a-4bf4-a0d8-ad65bd607b47)\n\n",
        "url": "https://www.ycombinator.com/launches/LXH-minusx-ai-data-scientist-for-jupyter-and-metabase",
        "votes": 57,
        "created_at": "2024-08-06T20:14:50.518Z"
      }
    ]
  },
  {
    "id": 29695,
    "name": "Dench.com",
    "slug": "dench-com",
    "former_names": [
      "Merse",
      "Merse Originals, Inc.",
      "Merse",
      "Dench.com",
      "Dench"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef306ea6f1d72c351b58047f5bd3c1644904cbd2.png",
    "website": "https://dench.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Dench: AI CRM + Full-Service Deployment\r\n\r\nMost CRMs sell you software and hand you a 200-page setup guide. Dench is different. We're the only CRM that ships with an embedded team: we migrate your data, build your object schema, configure your integrations, train your people, and deploy AI agents that keep your pipeline clean without a Salesforce developer, a RevOps contractor, or a six-month implementation project.\r\n\r\nFrom day one, our team works inside your stack. We pull your existing data out of HubSpot, Salesforce, or whatever spreadsheet graveyard you're currently using, and rebuild it properly in Dench. Custom objects, custom fields, automation rules, integration config across Gmail, Slack, Notion, GitHub, LinkedIn, and 50+ other tools. Everything set up the way your business actually works, not the way a generic CRM template assumes it does.\r\n\r\nThen we train your team. Not a one-hour Zoom and a PDF. Real sessions that build CRM discipline: how to log activity consistently, how to keep data clean, how to use AI agents to do the repetitive work so your reps spend time selling instead of updating fields. Quarterly business reviews keep the system evolving as your pipeline grows.\r\n\r\nThe AI layer is what makes it permanent. Dench agents enrich leads automatically, move deals through stages based on real signals, draft outreach, log interactions, and flag hygiene issues before they compound. Your CRM stays accurate without someone babysitting it.\r\n\r\nNo implementation consultant invoice. No dedicated Salesforce admin headcount. No duct-taped automation stack. One engagement, everything included, starting at $1,500/month.",
    "one_liner": "Workspace for your AI Agents, Build any Workflow.",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1720334032,
    "tags": [
      "Workflow Automation",
      "Open Source",
      "CRM",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Productivity"
    ],
    "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/dench-com",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/dench-com.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/denchcom",
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      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
      {
        "user_id": 990824,
        "full_name": "Mark Rachapoom",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO of Dench (dench.com); Founded Merse; Vercel AI Accelerator; Previously developed a top-ranking iOS app, reaching #3 on the App Store.",
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      {
        "user_id": 455465,
        "full_name": "Kumar Abhirup",
        "title": "Founder/CTO",
        "founder_bio": "Founder of Dench.com, formerly Merse. Worked alongside Naval Ravikant as engineer at Airchat. Sold my first company Beam (Substack for Texting) at the age of 16.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kumareth",
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      {
        "id": 78260,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/dench-com/jobs/8WGRwRI-founding-engineer",
        "location": "San Francisco, CA, US / Remote (San Francisco, CA, US; New York, NY, US)",
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        "id": 84562,
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        "title": "Empathy Meets Efficiency: AI Voice In Law, Healthcare And Collections",
        "url": "https://www.forbes.com/councils/forbestechcouncil/2025/05/29/empathy-meets-efficiency-voice-ai-in-law-healthcare-and-debt-collection/",
        "date": "May 29, 2025"
      },
      {
        "title": "Business Insider - 13 Creator and Influencer Startups to Watch in 2024, According to VCs",
        "url": "https://www.businessinsider.com/promising-creator-economy-influencer-marketing-startups-per-top-vcs-2024-10",
        "date": "Oct 24, 2024"
      },
      {
        "title": "The Journal by Fondo | Merse launches: Netflix for Audio-Visual Comics",
        "url": "https://www.tryfondo.com/blog/merse-launches",
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      {
        "id": 87857,
        "title": "Dench.com — AI Intake for Law Firms",
        "tagline": "AI Secretary to pre-qualify leads for Law Firms",
        "body": "![uploaded image](/media/?type=post&id=87857&key=user_uploads/455465/eaa1bd7b-f4ac-41db-b30f-10e8ac46f443)\n\n[Dench.com](http://dench.com/) is transforming legal lead qualification with AI voice agents. We’re doing to law firm intake what AI receptionists are doing to customer service—offering real-time lead qualification, 24/7 availability, and seamless CRM integration at a fraction of the cost.\n\nWe help law firms increase revenue by automating intake and monetizing unqualified leads through a compliant referral network.\n\nSince most people here aren’t our target customers, **we’d appreciate introductions to lawyers, legal intake teams, or law firm operators.**\n\nThe fully-managed system that intakes, follows-up with, manages, and updates clients. No human intervention required.\n\n---\n\n## **The Problem**\n\nLaw firms are overpaying for basic answering services that do little more than take messages.\n\n* **Missed after-hours calls:** Most law firms only accept intake during business hours, losing many clients that call after-hours.\n* **Limited Intake Staff:** Not every incoming potential client is vetted and then duly followed up with, because intake staff is already exhausted with a lot of work, and can cost $42K a year per intake specialist.\n* **High costs:** Services like Answering Legal charge $3.91/minute, and Ruby charges $235/month for just 50 minutes, they employ a human sweatshop somewhere in Georgia and sometimes in India which potential clients do not prefer.\n* **Wasted leads:** Many law firms turn away the majority of inbound leads without monetizing them through referrals.\n\n---\n\n## **Our Solution – AI Call Intake with our Lead Referral Network**\n\n![uploaded image](/media/?type=post&id=87857&key=user_uploads/455465/5e7010ea-bb2a-4c8d-a7d0-8a825fbffac3)\n\nDench replaces expensive human receptionists with AI voice agents that:\n\n* **Qualify leads in real-time:** Our NLP-driven AI assesses lead quality during calls, not after.\n* **Offer 24/7 availability:** No missed calls, no lost leads.\n* **Integrate seamlessly with CRMs:** Auto-syncs data to platforms like Clio Grow, eliminating manual entry.\n* **Monetize unqualified leads:** Converts rejected cases into paid referrals through a compliant network. We transfer the call to another AI representing another law firm that handles that kind of cases, and micro-transact the lead live, helping law firm earn for the referred lead.\n* **Schedule Consultations Automagically:** Intake staff would not have to call them back for anything as our AI handles all the followups, payments and everything right up to the end of the pipeline.\n\n---\n\n## **Key Features**\n\n* **Affordable pricing:** $0.99/minute, undercutting traditional services while offering superior automation.\n* **AI lead routing:** Instantly matches callers with the right attorney based on practice area.\n* **Regulatory compliance:** Built to comply with state-specific referral rules, ensuring ethical fee-sharing.\n* **Detailed analytics:** Track call performance, lead quality, and conversion rates.\n* **Automated Scheduling:** Intake specialist would never have to call again later, the AI handles all the followups until the consultation is scheduled.\n\n![uploaded image](/media/?type=post&id=87857&key=user_uploads/455465/e9ee6fdc-c09b-42d9-833f-aaa086c85686)\n\n---\n\n## **Market Opportunity**\n\n* 450,000+ law firms in the U.S.\n* 150,000+ mid-sized firms (5–20 attorneys) — our core target.\n* Average mid-sized firm handles 80–100 calls/month.\n* Law firms in the US spend upwards of $4.5B for managing intake, and $22B in marketing and lead-generation expenses.\n\n**Revenue potential**\n\n* **Bottom-up Revenue Projection:**\n\n  150,000 × $0.99 (per call minute) × 4 (avg duration) × 100 calls x 12 months = **$712.8M ARR**\n* **1% market penetration:** $8.5M ARR\n* **5% market penetration:** $42.6M ARR\n* **10% market penetration:** $85.2M ARR, plus $12M+ from referral fees\n\n---\n\n## **Live Demo**\n\n![uploaded image](/media/?type=post&id=87857&key=user_uploads/455465/5a4800b4-072e-4923-8599-65c83c9bf055)\n\n---\n\n## **Founding Team**\n\n* **Mark Rachapoom:** Co-Founder & CEO of [Dench.com](http://dench.com/). Founded Merse. Vercel AI Accelerator. Developed an app that reached #3 on the App Store.\n* **Kumar Abhirup:** Co-Founder & CTO of [Dench.com](http://dench.com/), Worked alongside Naval Ravikant at Airchat, sold [itsbeam.com](http://itsbeam.com/) at age 16.\n\n---\n\n## **Our Ask**\n\n* **Introductions:** Know any lawyers, legal intake teams, or firm operators? We’d love to meet them. Please introduce them to us. Here’s a blurb you can send them easily:\\\n  “[Dench.com](http://dench.com/) is an AI Intake Specialist Platform that take calls from prospective clients, talks to them (sounds totally human, it laughs, does uhms and aahs), vets them, conflict checks, does follow-ups and books an appointment, or it forwards the call to a human after client pre-qualification.\n\n  They can work after-hours 24x7, they also integrate with Clio/Lawmatics.\n\n  They convert rejected cases into paid referrals through their referral network, to land you huge profits over “wasted” leads.\n\n  For a simple demo, try calling (415) 997-2939 as someone with any legal dispute, property or other variety of issues you can possibly imagine.”\n* **Beta testers:** We’re offering free trials to law firms interested in AI-powered intake.\n\n📧 **Email:** [founders@dench.com](mailto:hey@dench.com)\n\nJoin us in transforming legal lead qualification and full-stack lead generation and management.",
        "url": "https://www.ycombinator.com/launches/Mr3-dench-com-ai-intake-for-law-firms",
        "votes": 50,
        "created_at": "2025-02-20T16:40:07.404Z"
      },
      {
        "id": 82025,
        "title": "Merse: The Netflix for audio-visual comics",
        "tagline": "Comic reader and AI creator with audio effects",
        "body": "![](https://lh7-us.googleusercontent.com/docsz/AD_4nXdBaxrK7CcR3gzn-A00Ocq7nz7Gv5H3RculiBueZTO77gTL_Gw-Fmr-__xZItu9CxLHXoBQltCt2V2jf7XJqBJpx4leYKA8XptCBo0QS-llFeavgHdDdTQkWQ5Zg5HCOdG7Un6hnFNLBv1Zqn-bHc5I93gz?key=qRiSZgvhLfMtdDoMZNm-xA)\n\n# **⏰ TLDR;**\n\n**WE are the Netflix for Audio-Visual Comics,** with a wide range of premium entertaining content for comic readers.\n\n**YOU** can **HEAR THE CHARACTERS SPEAK** in 6 languages, with immersive soundtracks and crispy audio effects.\n\n**ARTISTS** can **EARN A LIVING** by creating, uploading, publishing, and monetizing comics. With a wide range of characters, voices and soundtracks to choose from. Artists can also generate audio effects and soundtracks at will using Merse AI. Our AI tooling handles text and voice translation of speech bubbles.\n\n**GET THE APP** @ [merse.co](http://merse.co/)\n\n---\n\n---\n\n---\n\n# **⚠️ The Problem**\n\n**Creating comics is a labor-intensive process** that requires significant time and effort.\n\nDespite the popularity of comics, producing them often **takes hours of meticulous work** using tools like Adobe Illustrator, or requires plain drawings. This limits the number of creators who can participate and the volume of content available to readers.\n\nThe comic reading experience has been the same for decades. On the other hand, **readers are looking for new and more immersive experiences.** While static images are the norm, there is a growing demand for interactive content that brings characters and stories to life with character voices and sounds.\n\n---\n\n---\n\n---\n\n# **🫶 Our Solution — Audio-Visual Comics**\n\n[**https://www.youtube.com/watch?v=uidjDsilxms**](https://www.youtube.com/watch?v=uidjDsilxms)\n\nThe Merse platform enables creators to generate high-quality, audio comics quickly and easily, and offers readers an immersive experience. You focus on crafting engaging stories; Merse handles all your tech, distribution, and monetization.\n\n---\n\n# **📸 Features**\n\n**• Generate comics using AI:** Our GenAI features create detailed comic panels from your scripts, creates compelling voices in multiple languages for each speech bubble, with AI generated sound effects, significantly reducing the time from concept to publication.\n\n**• Audio Effects + Soundtracks:** Be it the sound of gulping water, or cracking knuckles, it has it all.\n\n**• Read and Hear in 6 different languages:** 🇮🇳Hindi 🇫🇷French 🇨🇳Chinese\\\n🇯🇵Japanese 🇰🇷Korean 🇺🇸English\n\n**• Monetization options:** Choose how to monetize your content – keep it free, or charge users per episode.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXd_bJUbA6bx3M3KxAr3qIM5R3W0A7geU2auFE-r1w35sW10EbGwzQrQVX6CtUZbevZVH5spBJFvLvVO91nOrE2QIGe4hoNybDPpr4Ffx36nKv75GLxCm7-chh9TkehdTSUf2JISQdu0etlbY0d74iDjFJvs?key=qRiSZgvhLfMtdDoMZNm-xA)\n\n---\n\n# **🏪 The Market**\n\nThe biggest incumbent in this industry is Naver Webtoons. It’s the YouTube for static, hand-drawn comics. Over 120,000 artists draw and upload their episodes and get paid over $27M for their work, clocking in a revenue of over $1.4B a year and 170M monthly active readers.\n\n---\n\n# **🇺🇸 The Founders**\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXdJDl22TQVliZe38bVqEVmAzhxeTY-H4BiFyI2Z0o2XixgFedjKv1y7nrELdGwiRR3WUXy9q65n4eww-gwuGo_wOeOzTKpQbeLvm0H-hxUTG_QbqdzHgabiC8A3QvAVICKuCI_TRsr51SGmnyPHFfajxKno?key=qRiSZgvhLfMtdDoMZNm-xA)\n\n[**Mark Rachapoom**](https://x.com/markrachapoom)\n\n**CEO of Merse,** 21-year-old founder, an engineer at heart with a great sense of design, college dropout, and fellow at Vercel AI Accelerator. He created Diary Dingo, an iOS journaling app that hit the top 3 in the App Store's Lifestyle category within 24 hours of launch.\n\n[**Kumar Abhirup**](https://twitter.com/kumareth)\n\n**CTO of Merse,** 20-year-old founder, dropped out of high school in Nashik, India, and worked alongside Naval Ravikant as an **Engineer at Airchat**, **1x Exited founder** @ [itsbeam.com](http://itsbeam.com)\n\n---\n\n---\n\n# **🙏 Our Ask**\n\n• **Connect us to creators and readers:** We’re looking to connect with comic artists, writers, and enthusiasts interested in innovative storytelling methods. Please reach us at [hey@merse.co](mailto:hey@merse.co), and we’ll follow up.\n\n• **Create on Merse:** Are you a passionate comic creator looking to transform your storytelling process? Start creating on our platform and own your storytelling journey! Share the comics you love on the Merse feed and on your socials, and help us gauge what content works best.\n\n• **We are looking to seed content:** CONTENT IS KING! It’s important we have a good catalog of content before future launches. If you want to help us with filling Merse up with exciting content, and have ideas, or want to work with us, contact [hey@merse.co](mailto:hey@merse.co)\n\n• **If you have experience going viral on TikTok / Reddit or are a good growth hacker and would love to help us**, contact us.\n\nJoin us in helping artists story-tell with Merse.\n\n![uploaded image](/media/?type=post&id=82025&key=user_uploads/455465/d512f5b4-fb4e-402c-8d0e-c7e82e3e6ed6)\n\n",
        "url": "https://www.ycombinator.com/launches/LKz-merse-the-netflix-for-audio-visual-comics",
        "votes": 27,
        "created_at": "2024-07-10T14:18:03.616Z"
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    "id": 29795,
    "name": "Odo",
    "slug": "odo",
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    "website": "https://useodo.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Odo is your email assistant because you deserve a better morning. Odo can help you organize, draft emails, and follow-up effortlessly after meetings.",
    "one_liner": "Your email assistant because you deserve a better morning",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1717022864,
    "tags": [
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      "Productivity",
      "Email",
      "AI",
      "AI Assistant"
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    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
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      "America / Canada"
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/odo",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/odo.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/odolabs/",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1293727,
        "full_name": "Yooni Ahn",
        "title": "Founder/CEO",
        "founder_bio": "Yooni is the CEO and co-founder @ Odo. She built products and business at Robinhood (Robinhood Gold, Customer Care during Gamestop, Original Content) for five years. Before that, she did consulting at Oliver Wyman where she spent endless hours writing government proposals. She studied public policy at Princeton University.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yooni-ahn/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9af5b535a4d82a5c83123b725649ee2fbc3fa699.jpg"
      },
      {
        "user_id": 1292158,
        "full_name": "Andrew Wagner",
        "title": "Founder/CTO",
        "founder_bio": "Andrew is the CTO and co-founder @ Odo. He was a staff engineer at Robinhood and spent many years freelancing where he developed outsized skill in taking projects from 0 to 1. It's there that he built a deep empathy for businesses struggling to balance billable work with finding new contracts.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/drewag",
        "x_url": "",
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      {
        "id": 99737,
        "title": "Odo: Stop checking your own email",
        "tagline": "Odo monitors your inbox, flags only the important emails, and drafts replies for you",
        "body": "**TLDR**\n\nOdo monitors your inbox, flags only the important emails, and drafts replies for you. Get early access at [useodo.com](http://useodo.com).\n\n<https://youtu.be/GoNZ7ZjTf2I>\n\\\n**Problem**\n\nHave you woken up in the middle of the night because you forgot to handle an important email?\n\nYou’re reading hundreds of emails a day just to figure out which five actually need a response. Then you’re manually writing replies you’ve written a dozen times before. Meanwhile, the one email that actually mattered got buried under Linkedin notifications “We’ve got a great role for you!”\n\n**Solution**\n\nOdo is an email assistant that flags what’s important and drafts replies in your own voice. You’ll never miss an important message again!\n\n**Brief:** Odo scans your inbox overnight and gives you a daily brief: what needs your attention and replies for you to review. Odo drafts in your own voice instead of sounding like AI.\n\n**Chat:** Need to follow-up with 40 prospects from a conference? Draft an investor update and bcc all 30 investors? Just ask Odo.\n\n**Inbox:** Your email is pre-sorted into conversations, notifications, news, and cold outreach so important emails rise to the top.\n\n**About us**\n\nWe met at Robinhood where Yooni spent 5 years across product and biz ops and Andrew was a staff engineer. Yooni ran sales for multiple startup ideas and kept losing sleep over emails falling through the cracks. Andrew ran his own email server for 10 years and has been itching to fix email.",
        "url": "https://www.ycombinator.com/launches/Pwf-odo-stop-checking-your-own-email",
        "votes": 17,
        "created_at": "2026-04-14T16:51:05.107Z"
      },
      {
        "id": 81408,
        "title": "💪 Odo: Win more government contracts",
        "tagline": "We save 80% of time drafting proposals so you can win more government contracts at a fraction of the cost.",
        "body": "**TLDR: Odo helps businesses find relevant government contracts, draft proposals, and analyze wins and losses through public records sourcing.**\n\n**🙏 Ask:** If you are a company selling to state or local government, we can help expedite your sales cycle. Book a demo [here,](https://www.odo.do/book-demo/) and we’ll draft **one proposal for free.**\n\nIf you know anyone who sells professional services or software to the government, we would appreciate an intro! Please reach out to us at [founders@odo.do](mailto:founders@odo.do). \n\n❗ **Problem**\n\nState and local governments buy $1.5TN worth of products and services from businesses every year, ranging from consulting and constructions, to yes, cream cheese and bagels. However, the process of winning government contracts today is extremely manual and opaque. Businesses can’t easily find relevant contracts, spend 40-80 hours drafting proposals, and don’t get feedback on why they won or lost a contract.\n\n![](https://media4.giphy.com/media/d9CX7F5Um8vzZIZOp4/giphy.gif?cid=6367ce563r70btn8vz9w1qmlmfzt1zke0dxxs2d5atm5vq8m&ep=v1_gifs_search&rid=giphy.gif&ct=g)\n\n**🎉 Solution**\n\nOdo is the first AI-powered platform to help businesses win state and local government contracts. Odo can find relevant contracts, draft proposals, and analyze wins and losses through public records sourcing. Our customers have saved up to **80% of their time** spent drafting proposals and **doubled their government sales pipeline.**\n\n![uploaded image](/media/?type=post&id=81408&key=user_uploads/1293727/84ab8966-6296-4433-a1b2-79ab5d27955e)\n\n**🙏 Ask**\n\nIf you are a company selling to state or local government, we can help expedite your sales cycle. Book a demo [here,](https://www.odo.do/book-demo/) and we’ll write **one proposal for free**.\\\n\\\nIf you know anyone who sells professional services or software to the government, we would appreciate an intro! Please reach out to us at [founders@odo.do](mailto:founders@odo.do).",
        "url": "https://www.ycombinator.com/launches/LB2-odo-win-more-government-contracts",
        "votes": 39,
        "created_at": "2024-06-10T16:39:36.721Z"
      }
    ]
  },
  {
    "id": 29823,
    "name": "autarc",
    "slug": "autarc",
    "former_names": [
      "autarc GmbH"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c6f422aa332e520cce9d631b8dfbcdfb14375c6e.png",
    "website": "https://www.autarc.energy/global",
    "all_locations": "Berlin, Berlin, Germany",
    "long_description": "The problem: Energy installers still waste dozens of hours per project on pen & paper processes. Their CRM, ERP, email, planning tools are completely detached from each other.\r\n\r\nThe solution: autarc lets installers automate their repetitive business tasks on a single platform. They manage everything from one interface: WhatsApp or iMessage. This combines their legacy tools into one system. We save 24+ hours on every home energy project, like heat pump, solar, wallbox or battery installations.\r\n\r\nThe technology: On top of our OS, autarc leverages LiDAR for spatial analysis, computer vision for automated assessment, and AI for system recommendations. This enables installers to confidently transition to and scale up sustainable home energy solutions.",
    "one_liner": "autarc is the agentic OS for energy installers.",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1720714870,
    "tags": [
      "Lidar",
      "Computer Vision",
      "B2B",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "Germany",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
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        "body": "**TL;DR:** We are live in Germany with 380 customers and a 7-digit ARR. Our software empowers installers to shift away from oil and gas, focusing instead on heat pump installations. Check out our website: [www.autarc.energy](http://www.autarc.energy)\n\n—\n\nHey YC! Etienne, Thies and Marius here from autarc! 👋🏼\n\n<https://youtu.be/sR_ezqeJIdg>\n\n# **😤  The Problem**\n\nDid you know that 30 % of Europe’s CO2 emissions come from heating buildings with fossil fuels? autarc is at the forefront of addressing this environmental challenge.\n\nAchieving a CO2-neutral life starts with a heat pump installation—it's the most efficient and sustainable alternative available. Yet, at the current installation speed, it will take over 100 years to replace the last gas or oil boiler in Europe.\n\nEtienne encountered this problem after nearly four years in the HVAC industry. Initially, we spoke with almost 80 firms to fully understand their challenges. It turns out installers would love to focus on heat pumps, but they lack the skills and tools to meet the overwhelming demand. These small, fragmented businesses across Europe struggle with scaling their processes and securing growth financing. On top of that, regulatory changes require them to manually capture hundreds of data points, leading to **60 % of installation costs** being attributed to **labor** and **process inefficiencies**.\n\n# **😍 The Solution**\n\nWith autarc, we are building an operating system (OS) for heat pump installers. Our software enables installers to capture hundreds of data points in minutes rather than hours and provides them with everything they need in one place: system design, offer creation, financing options, subsidies, and mandatory reports. By leveraging LiDAR technology and AI, we reduce the overall project time for heat pump installations by 50 %.\n\n![uploaded image](/media/?type=post&id=83857&key=user_uploads/395990/733c46ea-69da-43dd-b604-9bc85328d5cd)\n\n**How it works:** We standardize the pre-installation process, utilizing up to 800+ data points per property. This reduces time wasted on leads that don’t convert by 80% and frees up installer capacity. Our customers tell us that they save up to 20 hours per installation with our solution.\n\n# **🏡 The Team**\n\nWith 15 full-time employees, we are building a European champion from our HQ in Berlin, Germany. Our talented team members have backgrounds in major tech companies, HVAC/solar businesses, and energy consulting. Our greatest asset is the close relationship we maintain with our customers, enabling us to co-develop the features they truly need.\n\n![uploaded image](/media/?type=post&id=83857&key=user_uploads/395990/611c01dc-3a98-41e2-ae50-d4b6fa54bafd)\n\n_From left to right, on the left image: _[_Marius_](https://www.linkedin.com/in/marius-seufzer)_, _[_Thies_](https://linkedin.com/in/thies-hansen)_, and _[_Etienne_](https://linkedin.com/in/etienne-krause)_._\n\n# 💜 **The Ask**\n\nWe are looking for talent in almost every area—from Sales to Frontend and ML Engineering. If you know anyone in the HVAC industry in Germany, we’d love an introduction.\n\nFeel free to drop us a message at [founders@autarc.energy](https://mailto:founders@autarc.energy) 📧 and follow us on [LinkedIn](https://www.linkedin.com/company/autarc-energy).",
        "url": "https://www.ycombinator.com/launches/LoX-autarc-the-os-for-heat-pump-installers",
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        "created_at": "2024-09-09T05:37:19.049Z"
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    "long_description": "Orca is a game launcher for Minecraft. Players browse games and experiences and join with one click, no mod installation, no setup. We handle hosting and mod delivery for server owners and game creators, who earn revenue from their games. Think Roblox, but built on top of Minecraft's 312M player base.",
    "one_liner": "Orca lets you build, discover, and play Minecraft games with friends.",
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        "full_name": "Ali Kavoosi",
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        "title": "Simplifine | 🌟 AI-powered Workspace for Researchers",
        "tagline": "10x faster complex data and literature analysis using natural language and LLM agents.",
        "body": "# **TL;DR**\n\n **Fast, Scalable Analysis:** Simplifine’s fine-tuned LLMs orchestrate Agent Graphs for complex data and literature analysis at scale, making it 10x faster—all powered by natural language.\n\n**Tailored for Researchers**: Our solution integrates the entire research workflow, from literature search to note-taking, citation management, and analysis. Focus on your research without the hassle of tools that don’t scale with your data.\n\n**No Programming Needed**: Researchers shouldn’t need to learn new languages or wait for engineers to analyze big datasets. Our fine-tuned LLMs enable experts to conduct large-scale analysis using complex techniques—no programming required.\n\n### **Team**\n\nWe’re [Raveen](https://www.linkedin.com/in/raveen-kariyawasam-84b368295/), [Ali](https://www.linkedin.com/in/alikav/), and [Ege](https://www.linkedin.com/in/ege-kaan-duman-445731173/)—longtime friends from the University of Oxford. Raveen and Ege are Rhodes Scholars, while Ali is a PhD student in Healthcare AI at Oxford. Together, we’ve authored over 30 publications & articles across 10+ fields at top institutions/organizations like the University of Oxford, the Wharton School, University of Pennsylvania, Duke, McKinsey, and the World Health Organization. Having experienced the outdated research processes firsthand, we’re now on a mission to change that with Simplifine!\n\n![uploaded image](/media/?type=post&id=83568&key=user_uploads/1641010/7e05728d-7810-4f97-88ac-fd5a1f4da5fb)\n\n### **Problem**\n\nAs Oxford researchers, PhDs, and Rhodes Scholars, we’ve worked across various fields and institutions. But no matter the context, we’ve consistently faced the same challenge: **_managing a chaotic array of tools and coordinating with multiple people in our research pipeline._**\n\n·      **Complex Citation and Code Conversion:** We spend countless hours managing citations, converting papers into code, and ensuring our data is correctly processed to work with that code before we can even begin analysis.\n\n·      **Time-Consuming Scaling:** Scaling that code to handle larger datasets becomes even more time-consuming, adding to the complexity.\n\n·      **Collaboration Delays:** Large-scale analysis requires collaborating with engineers and data scientists to optimize computationally intensive experiments. This leads to significant delays, as everyone needs to get up to speed and manage tools for data analysis alongside citation management and figure generation.\n\n### **Solution**\n\n[Simplifine](https://www.simplifine.com) consolidates every aspect of the research process into **one intuitive platform, supercharged with fine-tuned LLMs and Agent Graphs**. Whether you’re conducting a literature search, managing sources, writing, coding experiments, or generating figures across data warehouses—_Simplifine handles it all with natural language._\n\n![uploaded image](/media/?type=post&id=83568&key=user_uploads/1641010/d3dc15cd-317e-4739-b7f6-3ae5c3476cb6)\n\nDesigned specifically for researchers, our platform eliminates the inefficiencies and frustrations of juggling multiple tools. With LLM agents at your side, you can tackle large-scale analysis from the start, moving as quickly as your mind does!\n\n![uploaded image](/media/?type=post&id=83568&key=user_uploads/1641010/9183de53-5e62-4b43-a1d7-fe571dceba9a)\n\n### **Our Ask**\n\nWe need your help to spread the word and sign up to use Simplifine – [www.simplifine.com](https://www.simplifine.com)\n\nIf you know anyone in academia or industry who conducts research—whether they read, write or code—please connect us with them!\n\nOur email: [founders@simplifine.com](mailto:founders@simplifine.com)\n\n![uploaded image](/media/?type=post&id=83568&key=user_uploads/1641010/7291b438-cdbe-42c3-9452-4a3fa0fbb694)\n\n",
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    "long_description": "We are on a mission to provide faster and affordable access to the justice system - starting with depositions and trials.\r\n\r\n1000s of depositions and trials run through DraftTheRecord every week including Senate and House meetings, Confidential federal hearings, criminal proceedings like murder trials, and civil lawsuits involving family disputes, personal injury and much more.\r\n\r\nDuring legal proceedings,\r\n• DraftTheRecord provides real time assistance to attorneys, previously requiring a legal team. The platform then helps analyze depositions and other evidence cutting down trial prep time from weeks to days. \r\n• Court reporters use DraftTheRecord to capture audio and generate live transcript drafts for attorneys and judges. \r\n• Transcribers use our legal-specific AI transcription model to cut transcription time by 3x.",
    "one_liner": "AI For Litigation",
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    "industry": "B2B",
    "subindustry": "B2B -> Legal",
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        "full_name": "Adnan Sherif",
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        "full_name": "Yash Ramchandani",
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        "id": 83816,
        "title": "Focus Buddy - AI productivity coach to get more work done",
        "tagline": "The AI you speak to 3-4 hours every day to help you think clearly, avoid distractions and be held accountable",
        "body": "### **TLDR**\n\n_FocusBuddy is an AI productivity coach that sits in the background on your computer and speaks to you while you work to help you think clearly, avoid distractions and hold you accountable. Our users converse with the AI over a phone call for 3-4 hours everyday while they’re working_.\n\n### **The Cost of ADHD** \n\nWe’re starting by focusing on people that struggle with ADHD\n\n**People with ADHD consider it the BIGGEST blocker in their life and the PRIMARY cause of their poor grades, missing promotions, and getting fired.**\n\n* 17 million adults and children in the US\n* 2-4 more hours wasted every day compared to peers\n\nBeyond ADHD, there are 80 Million people knowledge workers in high income countries that struggle with workplace productivity that FocusBuddy will serve\n\n### **How Focus Buddy helps our user Jeff**\n\nJeff is a brilliant product engineer who has ADHD. He often struggles to complete work due to his tendency to hyper-focus on details and get distracted by sudden impulses. Here is what Jeff's new workflow looks like since he started using FocusBuddy: \n\nJeff calls Focus Buddy first thing in the morning after breakfast. They go over his to-do list together and create a schedule for his day. Jeff then begins his first task - writing a draft PRD. He explains his approach to FocusBuddy and asks for frequent check-ins to keep him on track. \n\nAn hour into drafting, Jeff notices a small discrepancy in a user activity chart. His ADHD brain latches onto this detail, and he spends the next 30 minutes hyper-focusing on it, losing sight of the bigger picture. Just then, FocusBuddy speaks up: \"How's it going?\" Jeff explains: \"He is still figuring out the details on the chart\" FocusBuddy detects that Jeff has been hyper-focusing on a detail and helps Jeff realize that he is falling behind on schedule with more important parts of the PRD.\n\nFocus Buddy then works with Jeff to wrap up work on the chart discrepancy and reorganize his schedule to come back to the chart later in the day. They then do a 5-minute meditation to shift his focus away from the discrepancy and ease his mind back onto the main task. At the end of the day, FocusBuddy helps Jeff perform a daily reflection and prepare for his day tomorrow.\n\nJeff and our other users experience multiple types of interventions by Focus Buddy every single day and attribute their new-found productivity to it.\n\n### **Why Focus Buddy works**\n\nToday, people with ADHD spend hours every day virtually co-working on apps like Focusmate, updating to-do lists, using meditation apps like Calm, and journaling with little success. It is extremely hard to keep these apps updated, they have very little context about you and are unable to proactively provide timely support when needed. \n\nFocus Buddy is deeply integrated, is seamless to interact with, builds a lot of context over time and is able to leverage this context at critical moments to provide the necessary support.\n\nOn top of that, our voice AI infrastructure is revolutionising the way humans and AI interact. we're crafting an entirely new paradigm for fluid, natural conversations that feel as intuitive as talking to another person. Here are some examples:\n\n[**Multimodal Voice + Text Conversation**](https://youtu.be/d4FpwMfz_Ow)\n\n[**Proactive AI Initiated Check-ins**](https://youtu.be/XOgYMysjZ10)\n\n### **Our Team**\n\n![uploaded image](/media/?type=post&id=83816&key=user_uploads/650126/d303db31-ba55-407a-a001-09b86bbe9aa3)\n\n[Adnan](https://www.linkedin.com/in/adnan-sherif-as/) and [Yash](https://www.linkedin.com/in/yashmr/) have been best friends for over a decade, roommates for the last two years, and worked on the Google Pixel team as a Product Manager and ML Engineer. Yash led product and safety for Generative AI apps on the latest Pixel phone, while Adnan worked on training and deploying low-latency, resource-constrained, fully on-device Gemini models used by these apps.\n\nAdnan is a national triple jump champion, and prior to Google, he conducted AI research at UC Berkeley’s SkyLab with Ion Stoica (co-founder of Databricks), focusing on scaling graph machine learning to problems with millions of nodes. Yash has worked at startups like Kalshi and Relay, helping them from pre-launch to launch.\n\nAdnan learned to manage the ADHD symptoms he faced throughout high school and college and went on to help others cope with the same condition.\n\n# **Our Asks**\n\nReach out to us at [founders@focusbuddy.ai](mailto:founders@focusbuddy.ai) to learn more and sign up on our website to try us out and give us feedback. If you know anyone with ADHD, feel free to send them our way\n\nContact:  [founders@focusbuddy.ai](mailto:founders@focusbuddy.ai)  | Website: <https://www.focusbuddy.ai/?ref=yc>",
        "url": "https://www.ycombinator.com/launches/Lns-focus-buddy-ai-productivity-coach-to-get-more-work-done",
        "votes": 346,
        "created_at": "2024-09-06T17:41:22.363Z"
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    "id": 29951,
    "name": "Rowboat Labs",
    "slug": "rowboat-labs",
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    "website": "https://www.rowboatlabs.com",
    "all_locations": "Bengaluru, KA, India; Remote",
    "long_description": "Rowboat is an AI coworker for everyday work - email, meetings, projects, and people. It builds a local knowledge graph from your work and uses it to draft emails, prep meetings, track projects, and get work done on your own computer. It comes with batteries included - meeting note capture, in-app browsing, search, and app integrations - plus MCP support for custom tools.",
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    "team_size": 3,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1723615480,
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      "Open Source",
      "AI Assistant"
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    "batch": "Summer 2024",
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    "regions": [
      "India",
      "South Asia",
      "Remote",
      "Fully Remote"
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    "year_founded": 2024,
    "city": "Bengaluru",
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        "full_name": "Ramnique Singh",
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        "founder_bio": "Co-founder at RowBoat Labs. Helping companies supercharge CX using LLMs.",
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        "id": 106800,
        "title": "Rowboat – Your AI coworker, with memory",
        "tagline": "Open-source, local-first alternative to Claude Desktop: an AI coworker with a memory of your work as plain Markdown, and work surfaces you can build yourself.",
        "body": "**TL;DR**\n\nRowboat is an open-source AI coworker with two parts. (1) Memory: it turns your email, meetings, and notes into a living knowledge graph, saved as plain Markdown files on your disk. (2) Work surfaces: a built-in email client, meeting notetaker, notes, and browser, plus apps you can build or install from the community. The assistant helps inside the work itself, not just in chat.\n\n16,600+ GitHub stars - Front page of Hacker News twice in 2026.\n\n<https://github.com/rowboatlabs/rowboat> ·[ https://www.rowboatlabs.com](https://www.rowboatlabs.com)\n\n<https://www.youtube.com/watch?v=et5yQABJ3xI>\n\nHey, we're Arjun and Ramnique.\n\nAt our previous startup, we built a deep-learning product for enterprise support reps at Fortune 100 brands like P&amp;G. The models took live notes, suggested replies, and recommended actions while reps were on calls or handling emails. Coinbase acquired us in 2021. One lesson stuck: it's not enough for the AI to be right. The help has to show up where the work is happening.\n\nSo we built Rowboat around what we call \"work surfaces\": dedicated areas for email, meetings, notes, browser, and parallel coding, where the assistant helps inside the workflow itself rather than only through chat.\n\n* **Email client:** Rowboat has a simple email client that sorts incoming emails into important vs. everything else, and pre-creates drafts for important emails. As you edit and send emails, it takes notes on your style, so future drafts get closer to your voice.\n* **Meeting notes:** We built a Granola-style local meeting notetaker. Notes are stored as plain Markdown files on your machine. After a meeting, Rowboat feeds the notes back into the knowledge graph and updates the relevant people, project, and topic notes.\n* **Browser:** We added a built-in browser, isolated from your main one, where you can log in only to the accounts you want the assistant to help with. The assistant uses browser-use skills to navigate websites.\n* **Parallel coding:** The code-mode inside Rowboat lets you spin up multiple instances of Claude Code or Codex and either work with them directly or let Rowboat use your work context to orchestrate them. We built an ACP (Agent Client Protocol) client in Rowboat for this.\n* **Notes:** Rowboat has an Obsidian-style local note-taking system. It comes with graph view, bases view, and voice notes. You can also sync Google Docs files and edit them inside Rowboat.\n\nAn example email work surface - triage plus pre-drafted replies in your voice:\n\n![uploaded image](/media/?type=post&id=106800&key=user_uploads/189004/b957ae9a-2186-42a4-a0cd-3e56554221c7)\n\nYou can also build your own work surfaces inside Rowboat (web apps). Each app gets its own UI and a background agent, and can use all of Rowboat's tools, product integrations, and your work memory. For instance: an app to manage GitHub activity, project tracking, or ads campaign management. There are a few community apps at launch that you can search and install. Publishing your own is one click from inside Rowboat: connect your GitHub and it creates the repo and registers the app for you.\n\n![uploaded image](/media/?type=post&id=106800&key=user_uploads/189004/1c8fea41-3dbe-4a41-8202-9a1564531d71)\n\nAll of this is powered by the Brain: a knowledge graph of your work that Rowboat builds and maintains automatically, so every surface starts with full context. We did a Show HN on it a few months back: <https://news.ycombinator.com/item?id=46962641>.\n\n![uploaded image](/media/?type=post&id=106800&key=user_uploads/189004/ed015055-6816-4b6f-b9de-ab17364f7ddf)\n\nAs an example that ties some of these together: you can create an app inside Rowboat that collects feature requests from your email, meetings, and Slack and ranks them, then uses Claude Code to draft a first version of the top-ranked feature, pulling prior context about it from your knowledge graph.\n\nRowboat is local-first: data is stored as plain Markdown files you can read, edit, or delete anytime. It is Apache-2.0 and works with any LLM, including local models through Ollama or LM Studio. You can also use your ChatGPT subscription. It works on Mac, Windows and Linux.\n\n**Shipped in public**\n\nEvery major Rowboat release has launched on Hacker News:\n\n* **Rowboat CLI** (Nov 2025): front page, 131 points. A Claude Code-style CLI agent for everyday work, two months before Anthropic's Cowork.\n* **Rowboat Knowledge** (Feb 2026): front page, 205 points, #1 on GitHub Trending. A living knowledge graph as plain Markdown, two months before Karpathy's viral LLM-wiki post.\n* **Rowboat Work Surfaces** (Jul 2026): front page, 219 points.\n\n![uploaded image](/media/?type=post&id=106800&key=user_uploads/189004/8a836991-df20-47b8-a5a0-eb4a07f3fb1e)\n\n![uploaded image](/media/?type=post&id=106800&key=user_uploads/189004/cfd23cbb-905a-499f-9f67-60ae77b0f219)\n\n**How you can help**\n\n* Try it:[ https://www.rowboatlabs.com](https://www.rowboatlabs.com) (Mac, Windows, and Linux)\n* Star the repo:[ https://github.com/rowboatlabs/rowboat](https://github.com/rowboatlabs/rowboat)\n* Send it to one friend who lives in email and meetings",
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        "created_at": "2026-07-21T16:59:26.062Z"
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        "id": 83046,
        "title": "RowBoat Labs - LLM agents for human-like customer support",
        "tagline": "Faster resolutions and improved customer satisfaction with AI.",
        "body": "**Tl;dr:** [RowBoat](https://www.rowboatlabs.com/) is a pre-trained customer support LLM agent that seamlessly plugs into your systems, handles customer conversations, and performs tasks just like an expert human agent would.\n\n# **Problem**\n\nCustomer support is one of those rare opportunities for a brand to connect directly with its users. The best brands know this and invest heavily in coaching their human agents to deliver a great support experience.\n\nBut when it comes to automated support, most solutions rely on LLMs that aren’t specially designed for customer support and can’t learn from experience. This often leaves users stuck with impersonal and long FAQ-style responses in small chat windows, often missing the help they actually need.\n\nInternal teams might see some early wins with a public LLM + RAG setup, but that progress usually hits a wall fast. Before long, engineers are spending more time debugging common LLM issues instead of focusing on what actually matters: delivering great customer support. As a result, customer satisfaction rates (measured by surveys) get nowhere close to that of human agents.\n\n# **Solution**\n\nRowBoat is built and fine-tuned specifically for customer support\n\n* **Pre-Trained:** RowBoat is trained on a vast corpus of support conversations and further refined through self-play. It's like hiring a highly experienced customer support agent right from day one.\n* **Brand-Aligned:** RowBoat automatically indexes your public and internal knowledge, fine-tuning itself to align with your brand.\n* **Continuous Improvement:** RowBoat learns from every user interaction. When connected to your user metrics, such as resolution rates, RowBoat critiques its own performance to optimize for them continuously.\n\n… for internal engineering teams to build exceptional customer experience\n\n* **Plug & Play:** A drop-in replacement for GPT-4+ class LLMs, RowBoat offers immediate improvements in resolution accuracy. Our SmartRAG system readily integrates with your existing Elasticsearch or embedding-based retrieval systems for improved grounding.\n* **Tool Use & Personalization:** Equipped with a library of predefined functions, RowBoat can interact with and perform tasks on internal and external APIs. This makes RowBoat’s conversations highly contextualized to the user. \n* **Self-hostable:** RowBoat can be hosted inside your company’s cloud, especially for privacy-sensitive use cases.\n\nSeamless conversations…\n\n![uploaded image](/media/?type=post&id=83046&key=user_uploads/189004/99fef1b6-674c-4deb-902b-15ecdc895efe)\n\n… with continuous coaching\n\n![uploaded image](/media/?type=post&id=83046&key=user_uploads/189004/cdb3fce5-1446-45c0-afaa-fa8b49135deb)\n\n# **Who we are**\n\nWe're a team of three engineers who have worked together for the last 7 years. [Arjun](https://linkedin.com/in/arjunmaheswaran) co-founded Agara, a customer support AI startup where [Ramnique](https://www.linkedin.com/in/ramnique) and [Akhilesh](https://www.linkedin.com/in/akhilesh-sudhakar/) were part of the founding team. In 2021, Agara was acquired by Coinbase, where we built their automated customer support. We have published research and hold patents on LLMs, Reinforcement Learning, embeddings, and customer support.\n\n# **Our Ask**\n\nIf your company has a customer support function, we’d love to connect with your CX or engineering team. Please reach out to us at [founders@rowboatlabs.com](mailto:founders@rowboatlabs.com). We’ll bring an LLM agent trained for your brand to our call 😊\n\n![uploaded image](/media/?type=post&id=83046&key=user_uploads/2094077/7073cc25-f959-458c-a8e2-bcac591dfd2f)\n\n",
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    "long_description": "Henry is an AI copilot for commercial real estate (CRE) brokers that seamlessly integrates a brokerage’s internal data set with external sources to generate custom presentations and financial modeling for deals. Our mission is to help CRE brokers close more deals faster, earning more while doing less repetitive work. We’re initially focusing on enabling brokers to generate deal decks in seconds—a task that typically consumes 20+ hours a week across multiple departments within a brokerage.",
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    "industry": "Real Estate and Construction",
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        "full_name": "Sammy Greenwall",
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        "founder_bio": "Sammy is the Co-Founder and CEO of Henry, Co-Founder and former CRO of Lev (which he scaled 0 to Series B / $10M+ run rate), and a retired real estate finance professional. Sammy was born and raised in the Bay Area and played college basketball at Swarthmore College. Sammy is passionate about building great products in large and stubborn markets.",
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        "title": "Henry - AI copilot for commercial real estate brokers",
        "tagline": "Automating tedious presentations & financial modeling to let brokers get back to what they do best: selling.",
        "body": "Hi everyone! We are Sourav, Sammy and Adam, and we’re creating an AI copilot that automates the deal deck creation and financial analysis process for CRE (commercial real estate) brokers. For example, [Henry](http://www.henry.ai/) can create a full deal package for a broker selling an office building in Dogpatch in minutes instead of weeks. This will ensure that brokers maximize their time in the most value-added part of their business: relationships and sales.\n\n![uploaded image](/media/?type=post&id=83131&key=user_uploads/89898/dd4cce39-5b6f-426f-9245-f5e9b1b0e7fa)\n\n(Sourav is remote!)\n\nTraditional brokers often spend as much as 50% of their time on tasks that do not contribute to their bottom line. From basic financial analysis to marketing presentations to win future business to basic operational support, brokers often struggle with the manual and time-consuming realities of their business. These tasks are an incredibly painful bottleneck for brokers, which interferes with their primary goal of _building relationships to buy and sell property_.\n\nWe are creating [Henry](http://www.henry.ai/) to solve this problem. Henry is an AI copilot that takes all of the messy, unstructured data that defines CRE transactions and consolidates it into clean marketing deliverables & financial analyses in minutes rather than weeks. Long term, we plan on automating the entire deal flow process for brokers to make their cycle time for a deal an order of magnitude faster. You can find an example of what we do below:\n\n<https://www.youtube.com/watch?v=jZm40bj5mL0>\n\nI ([Sammy](https://www.linkedin.com/in/sammy-greenwall-387b3256/)) led Lev for the last five years, a 200+ person series B real estate financing marketplace that I co-founded. During this time, I realized that brokers were often bottlenecked by manual processes & antiquated technology, a problem optimally solved with advances in AI-driven technology. This led me to my partnership with [Adam](https://www.linkedin.com/in/adam-pratt-73a4aa103/), and Sourav who has deep experience in creating AI-enabled solutions for thorny problems that plague traditional businesses.\n\n# **How you can help:**\n\n* Know any CRE brokers? We’d love to talk to them about how we can make their lives easier & their paychecks larger. Contact us at [sammy@henry.ai](mailto:sammy@henry.ai)",
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        "title": "Praxis AI - Reasoning Agents Fine-Tuned for Manufacturing",
        "tagline": "Meet Praxis AI, the platform made to eliminate fire-fighting for manufacturing engineers",
        "body": "# TL;DR\n\nPraxis AI builds manufacturing-specific agents capable of reasoning and processing complex situations. Our engineering copilot predicts and prevents machine failures in real-time by solving problems the same way an engineer would. This results in proactive maintenance which helps prevent unplanned downtimes and quality defects.\n\n[Launch Video](https://www.youtube.com/watch?v=qJ41WG_X8pw):\n\n# The Problem\n\nWe have over 10 years of experience working in the manufacturing industry between the two of us. During that time we have noticed that manufacturing engineers are constantly being pulled in every direction due to production issues popping up in multiple parts of the plant. \n\nThis reactive approach results in:\n\n* Large amounts of unplanned downtime, resulting in lost throughput\n* Unnecessary wear and tear on expensive manufacturing machinery\n* Quality defects requiring non-value add rework prior to customer delivery\n\nFrom unplanned downtimes alone, US manufacturers lose over **$50 billion dollars per year**. \\\n\\\nUnfortunately, existing solutions are:\n\n* Complex and required large amounts of data science/computer science knowledge\n* Focused on dashboarding and KPI metrics\n* Extremely costly to implement and maintain\n* Not tailored for manufacturing use cases\n\n# The Solution\n\nPraxis AI provides manufacturing engineers with an end-to-end solution for identifying and root-causing machine issues by following a 5-step reasoning process. This mimics exactly how an engineer would solve an issue in the real world. Our platforms core competencies include:\n\n1. **SOTA AI architectures for manufacturing** - Our models have been specifically designed to work with time series data coming from the manufacturing shop floor.\n2. **No code tools for manufacturing engineers** - The Praxis AI platform can be used without ever touching a Jupyter notebook.\n3. **Explainable AI for root cause analysis** - Our UI gives users full visibility into the reasoning behind the output of our models, and our copilot Max.e.\n4. **Operationalized machine learning models** - Praxis ensures that every model that is built is able to be utilized every single day to drive actual changes on the shop-floor. It's not just a pretty dashboard to look at.\n\nThe Praxis platform provides the tools needed for engineers to make changes on their shop-floor which can lead to reductions in unplanned downtimes, reduced scrap/waste, improvements on the efficiency of their machines, and so much more. We’ve built the platform in a way that as we continue to work with more customers, we will be able to encompass more and more use cases. We’ve already begun preliminary work on adding production order optimization and maintenance backlog management to our solution suite. \n\n# The Team\n\n![uploaded image](/media/?type=post&id=85869&key=user_uploads/2229645/e65c1855-0e3c-4b5a-9014-22f633580153)\n\nWe have been working in the manufacturing industry for our entire professional career, and are extremely passionate about being on the cutting edge of manufacturing technology.\n\nRansika has worked at multiple manufacturing companies like GM, Tesla, and Rockwell Automation. During this time he has worked a variety of foundational manufacturing roles like manufacturing engineer, quality engineer, controls engineer, and production planner. During this time he managed multiple projects building and implementing various digital manufacturing projects globally which resulted in millions of dollars in cost savings per year. For the last two years he has been working at Deloitte as a product lead for Deloitte’s Intelligent Ops platform.\n\nAditya worked at Palantir for three years, ending his career there as a technical lead. During this time he specialized in converting pilots in the manufacturing vertical with a 100% success rate and a TCV of over $15 million dollars. Aditya has had a passion for ML/AI in manufacturing since early college, first excelling in the space by building a predictive model for General Motors and winning first in a data challenge of over 50 teams of PhD and masters students.\n\n# Our Ask\n\nIf you are interested in testing our solution out, we would love to be in touch to do a free factory assessment! We are looking to test our solution in a variety of different manufacturing environments, but have a particular affinity to continuous processes that can be found at paper mills, oil refineries, and chemical plants. Feel free to reach out at [founders@praxis-tech.ai](mailto:founders@praxis-tech.ai). Thanks!",
        "url": "https://www.ycombinator.com/launches/MKz-praxis-ai-reasoning-agents-fine-tuned-for-manufacturing",
        "votes": 61,
        "created_at": "2024-11-25T21:20:07.954Z"
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    "website": "https://www.sandra-ai.com",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Sandra AI is building the AI operating system for car dealerships, replacing clumsy legacy software with an AI-native, automation-driven platform. Founded by 3 McKinsey, HEC & MIT alumni who met 10 years ago at Ecole Polytechnique, the company’s AI agents already automates all customer interactions across calls & messages, and increasingly run dealership operations by automating sales and aftersales workflows end-to-end. This operational footprint naturally extends into a proprietary software layer that unifies billing, scheduling, inventory, and CRM into a single dealership OS. ",
    "one_liner": "Building AI employees for car dealers",
    "team_size": 14,
    "industry": "B2B",
    "subindustry": "B2B",
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    "batch": "Fall 2024",
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    "regions": [
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/sandra-ai",
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    "year_founded": 2024,
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    "country": "FR",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "user_id": 1413790,
        "full_name": "Badr El Idrissi Mokdad",
        "title": "Founder/CEO",
        "founder_bio": "Badr is the Co-founder and CEO of Sandra AI. Before founding Sandra.ai, he spent three years as a consultant at McKinsey & Company and Bain & Company, where he worked within the BPO (Call centers) space and specialized in digital transformation, growth strategy, and CX business impact. Badr holds a dual degree in Data Science for Business from École Polytechnique and HEC Paris.",
        "is_active": true,
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        "full_name": "Ismail Majjad",
        "title": "Founder",
        "founder_bio": "Ismail is the Co-founder and CPO of Sandra AI. He holds a joint MS in Data Science from Ecole Polytechnique and HEC Paris. Before Sandra, he spent 3 years at McKinsey, specializing in financial operations and strategic management, especially within the automotive and technology sectors.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ismailmajjad",
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        "full_name": "Skandere Sahli",
        "title": "Founder/CTO",
        "founder_bio": "Skandere is the AI Data Scientist of Sandra AI. He studied Applied Mathematics and Computer Science at Ecole Polytechnique and MIT. He spent 3 years at QuantumBlack, McKinsey’s AI arm, focusing on optimizing operations and integrating advanced AI systems. ",
        "is_active": true,
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      {
        "id": 84733,
        "title": "🚗 Sandra AI – The first multilingual AI receptionist for car dealerships",
        "tagline": "📞 Voice AI that manages all dealership calls, 🌟 boosting customer experience and 💸 driving revenue growth.",
        "body": "### **TL;DR**\n\nSandra AI is the first multilingual AI receptionist specifically designed for car dealerships, ensuring that every customer opportunity is captured. Our voice AI solution manages both inbound and outbound calls, allowing dealership teams to focus on closing deals and providing exceptional in-person service while we handle call management.\n\n**See Sandra AI in action:** [Watch our demo here.](https://www.youtube.com/watch?v=USVY_NldBmY&ab_channel=SandraAI)\n\n### **The Problem: Missed calls = Missed opportunities + Low customer satisfaction**\n\n📞 **+80% of appointments** at car service centers are **still booked by phone**, diverting teams from focusing on in-person customers.\n\n💰 **+30% of inbound calls go unanswered**, leading to significant missed opportunities.\n\n⏳ Customers expect quick responses, but **delays and slow follow-ups** drive them to competitors.\n\n😠 **Traditional call centers are expensive** and struggle to meet high demand, resulting in frustrated customers and lost revenue.\n\n### **Our Solution: Sandra AI**\n\n**💬 Multilingual, human-like interactions –** Sandra communicates naturally in multiple languages, making it easy to connect with a diverse customer base\\*\\*.\\*\\*\n\n**🤝 Seamless DMS integration –** Sandra integrates with your dealership management systems, enabling personalized communication and seamless appointment scheduling.\n\n**🔄 Always on, 24/7 –** Sandra never misses a call, capturing leads and managing customer follow-ups at any time of the day.\n\n**🔀 Smart transfer –** Sandra follows your guidelines, transferring to your support teams at just the right moment.\n\n**📝 Observability –** Sandra offers full observability, including call recordings, transcripts, and customer satisfaction overviews.\n\n### **Why we created Sandra AI**\n\nWe are passionate about AI, innovation, and making a meaningful impact in the world. Our experience as consultants in the BPO and automotive sectors revealed how missed calls were costing dealerships significant revenue and harming customer relationships.\n\nThis insight inspired us to develop a solution that leverages AI to drive real change. Thus, Sandra AI was born—an AI receptionist tailored to address the unique challenges faced by car dealerships.\n\n### **Our Ask**\n\nIf you run a car dealership and want to automate your phone call operations, reach out to us at [founders@sandra-ai.com](mailto:founders@sandra-ai.com). We’d love to help you streamline your customer communication and increase sales.\n\nIf you know other dealerships that would benefit from Sandra AI, we’d greatly appreciate an introduction!\n\n### **Our Team**\n\n\\\n**• **[**Badr**](https://www.linkedin.com/in/badr-el-idrissi-mokdad-a36336177/)** –** Former McKinsey & Bain consultant with extensive experience in the BPO space.\n\n**• **[**Ismail**](https://www.linkedin.com/in/ismailmajjad/)** –** Former McKinsey consultant with a strong background in the automotive industry.\n\n**• **[**Skandere**](https://www.linkedin.com/in/skand%C3%A8re-sahli-8a152616b/)** –** AI expert and graduate of Ecole Polytechnique and MIT, with extensive experience at QuantumBlack in AI solutions across various industries.",
        "url": "https://www.ycombinator.com/launches/M2f-sandra-ai-the-first-multilingual-ai-receptionist-for-car-dealerships",
        "votes": 18,
        "created_at": "2024-10-14T14:12:09.883Z"
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    "name": "Endstack",
    "slug": "endstack",
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      "Lune",
      "Cosmic"
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    "website": "https://www.endstack.com",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "Endstack is a full desktop, collaborative workspace built for humans and agents running in the cloud available on web, desktop, and mobile.\r\n\r\nEach workspace powered by endOS, giving you a familiar channel-based experience augmented by a real desktop environment. The desktop is backed by Linux and ships with a built-in Chrome browser. Files, notes, browser tabs, native apps, terminal, and all your agents in a single beautiful, unified interface. \r\n\r\nAt the center of it all you get a powerful agent running 24/7 that you can also reach via Slack, email, or SMS. ",
    "one_liner": "The complete, collaborative workspace for humans and agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1731874326,
    "tags": [
      "Developer Tools",
      "Generative AI",
      "AI",
      "AI Assistant"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/endstack",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/endstack.json",
    "year_founded": 2024,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/endstack-com",
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      "name": "David Lieb",
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        "user_id": 1758131,
        "full_name": "Sam Park",
        "title": "Founder/CEO",
        "founder_bio": "Building cloud desktops and operating systems for humans and agents!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/samuel-park04/",
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        "full_name": "Josh Park",
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        "founder_bio": "Building Endstack, cloud computers for humans and agents. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/joshua-park-a26561279",
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      {
        "id": 85640,
        "title": "Lune AI - Better LLMs for code and technical tasks",
        "tagline": "A replacement to standard LLMs for coding tasks - eliminate hallucinations with a marketplace of expert LLMs trained on hundreds of technical topics.",
        "body": "[ ](https://www.youtube.com/watch?v=iPCixKBJiZI)\n\nHey everyone! We’re Sam and Josh, and we’re building a platform for better LLMs for code and technical tasks.\n\n## **TLDR:**\n\n[Lune AI](https://www.lune.dev/) is a platform to find and train Lunes, or expert LLMs on any technical topic for code. We outperform the accuracy of standalone foundational models by [37%](https://www.lune.dev/blog/lune-evaluation).\n\nHere’s a [**demo**](https://www.youtube.com/watch?v=Zwokp23C3ek):\n\n## **The Problem:**\n\nLLMs **hallucinate** on material outside their training data, which often leads to inaccurate answers to technical questions related to code. Whether it’s working with a new library, or the ever changing nature of software documentation, every developer has **wasted time** on hallucinated LLM outputs.\n\n## **Lune Web:**\n\nOn Lune Web, users can find a [marketplace](https://chat.lune.dev/explore) of community trained Lunes on **hundreds** of the most popular libraries and Github repositories for developers. In a concept similar to OpenAI’s GPT store, users that train popular Lunes receive monthly payouts in a **revenue share program**.\n\n![uploaded image](/media/?type=post&id=85640&key=user_uploads/1758131/9b8e2428-b02e-4247-a5bc-f8746504e7f1)\n\nWhen interacting with Lunes on the web, users can also **receive payouts** for leaving feedback on Lune performance and contributing their own expertise to specific Lunes. This direct community driven feedback loop continuously improves the accuracy of our models.\n\n![uploaded image](/media/?type=post&id=85640&key=user_uploads/1758131/0a27c84c-44d0-477a-a4db-3d3ccf8c6da1)\n\n## **Lune API:**\n\nIn addition to Lune Web, we offer API access to our proprietary automatic context switching model, Tycho as well as all public Lunes. Tycho is our context switching model that **automatically determines** the right Lunes to retrieve information from given a user query, in order to provide the most accurate answer. \n\n![uploaded image](/media/?type=post&id=85640&key=user_uploads/1758131/0fb0ab51-5d7c-4578-8174-21d5e9563ff0)\n\nOur API is hot swappable with OpenAI, which means our users can [integrate](https://docs.lune.dev/docs/external-integrations/cursor) Tycho into any IDE, tool, or client that **supports OpenAI compatible APIs** with a personal API key, such as Cursor, Continue, and other AI client SDKs. \n\n![uploaded image](/media/?type=post&id=85640&key=user_uploads/1758131/4de9c6f0-f8a8-4015-99ef-18034e454ede)\n\nProject keys with our API can be used to easily integrate backend applications and workflows where **superior accuracy and minimized hallucinations** for technical topics are necessary. For example, generating compliable, front-end code with context from various pip packages or libraries.\n\n## **About Us:**\n\nWe are brothers who have been working together our whole lives, starting out with Lego projects. We both dropped out of Harvard because we believed that there is a very near future where AI + Coding can lead to 10x better productivity for the world. We want to make that a reality.\n\n![uploaded image](/media/?type=post&id=85640&key=user_uploads/1758131/da7c5a23-106f-4f64-bf42-1dfa460be8ca)\n\n## **Our Ask:**\n\nIf you code and you have experienced LLM hallucinations, hate reading through dense documentation and Github repos, give [Lune AI](https://www.lune.dev/) a try!\n\nIf you are building a product that uses LLMs for generating code or other technical tasks and want a hot-swappable, more accurate alternative, reach out to me at [sam@lune.dev](mailto:sam@lune.dev)\n\n![uploaded image](/media/?type=post&id=85640&key=user_uploads/1758131/d27e21bd-d15d-4a94-aa1f-28e0c1d7a1d9)\n\n",
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    "subindustry": "B2B -> Engineering, Product and Design",
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        "full_name": "Nalin Semwal",
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        "title": "Scrapybara - A Computer for Your AI ₍ᐢ•(ܫ)•ᐢ₎",
        "tagline": "API-accessible computer environments purpose-built for AI agents.",
        "body": "Hey YC! Nalin and Justin here; we’re building [Scrapybara](https://scrapybara.com) to help you deploy AI agents that can use computers. We handle deployment, maintenance and scaling so your agent just sees 👇\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/8e055289-f7a9-42f4-895e-df83e7a61e28)\n\n**TL;DR**\n\n**_Deploy and productionize computer use._**\n\nScrapybara provides instant, secure virtual desktop environments via API for AI agents to perform tasks. We reduce deployment time from hours to seconds through our purpose-built platform.\n\n[https://youtu.be/ZjPTAb5bg-w](https://youtu.be/ZjPTAb5bg-w?si=8PVUmhtHmdC6iPr2)\n\n## 💻 For Instance\n\n* _A **Market Research Firm** could have their agent browse news sites, create summaries, and update their internal dashboards, all on Scrapybara_\n* _A **Healthcare Administrator** could use agents to process insurance forms and operate ERP software (even the kind that only runs on desktops), all on Scrapybara_\n* _A **Sales Development Representative** could use agents to find information on leads, reach out to them and update their Salesforce, all on Scrapybara_\n\n## 🚨 The Problem: AI Needs a Safe Place to Execute\n\nAI agents are becoming increasingly capable of writing code, analyzing data, and performing complex tasks. However, there's a critical missing piece: a secure, scalable environment where these agents can actually take actions. Current solutions force developers to choose between:\n\n* Using APIs (limited, inflexible)\n* Using browsers (unstable)\n\n**_Don’t run AI agents on your own computer._**\n\n## 💡 Our Solution: Purpose-Built Computers for AI\n\nScrapybara provides instant, secure virtual environments via API that spin up within seconds and are specifically designed for AI agents:\n\n🚀 **Speed**\n\n* Environment creation in seconds\n* Pre-warmed container pool\n* Optimized runtime layers\n\n🔒 **Security**\n\n* Isolated execution environments\n* Resource limits and timeouts\n\n💰 **Cost Optimization**\n\n* True per-second billing\n* Zero idle costs\n* Automatic resource scaling\n\n🔌 **Simple Integration**\n\n* REST API\n* Popular language SDKs\n* One-line deployment\n* Built-in monitoring\n* Plug and play with Claude’s Computer Use\n\n## 🤖 Getting Started\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/3d2131de-561f-44d6-b067-ca4ec82d4da8)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/9cf26326-1a29-462f-a521-7756714eba11)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/47fbd307-bf81-4be9-9286-f54124f7f512)\n\nTaking screenshots:\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/df36a97f-b1c3-445f-b15d-412ef6cc63ca)\n\nTaking actions:\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/bf4cb53b-f5e5-4542-a141-f3c2a02a9496)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/594f98c1-7eb1-4862-9fb8-d81f02f9547d)\n\n## ♾️ Limitless Possibilities\n\nPlug your multimodal agents into Scrapybara and empower them to automate all kinds of work. The only limit is your imagination.\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/e3cc5c6b-07db-4c3d-8476-0bc6d19e30ca)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/de5d45bb-0019-48a9-950a-813d679df759)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/5e0a5cfa-4f38-4b3b-a741-b2ab96c868c3)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/ab7a4ed5-9d84-4e62-a560-88ac1a9a32fa)\n\n## 🚧 Coming Soon\n\n* Windows, Android, and other virtual OS’s\n* Dedicated Code Execution Sandboxes\n* and much more!\n\n## 👾 About Us\n\n* Nalin: AI Research @ MultiOn | LLM Agent Research @ Georgia Tech\n* Justin: AI Product @ MultiOn | M&T @ UPenn\n\nWe met at MultiOn where we led B2B and consumer web agent development and built the best-in-class web extraction API (Retrieve).\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/1053d2e9-2ea6-4e29-8b4e-1d37da808e5d)\n\n## The Ask\n\n1. **Try it out**: Building general-purpose or vertical-specific agents that could do with computer use? Go to [scrapybara.com](http://scrapybara.com)!\n2. **Intro us**: Know someone who could use this? We'd love an intro!\n3. **This is cool I just want to chat about it**: Heck yeah! Email us 👇\n\nContact: [hello@scrapybara.com](mailto:hello@scrapybara.com) \\\nLinkedIn: <https://linkedin.com/company/scrapybara> \\\nX: <https://x.com/scrapybara>\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/80b9b821-8e48-4f0a-9583-68008d3309ca)\n\n",
        "url": "https://www.ycombinator.com/launches/MHN-scrapybara-a-computer-for-your-ai",
        "votes": 74,
        "created_at": "2024-11-18T04:54:22.279Z"
      }
    ]
  },
  {
    "id": 30116,
    "name": "Freestyle",
    "slug": "freestyle-ai",
    "former_names": [
      "Jarvis Mail",
      "Friday"
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    "website": "https://freestyle.ai/yc",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Email sucks. It takes forever to go through, and hiring an assistant is costly and invasive. Freestyle is building the assistant that learns how to predict the action that you will take on your emails, and does it for you.\r\n\r\nToday's email products try to help you go through your emails a little faster, but if you have to get through 1000 emails, those products doesn't do much for you. \r\n\r\nThe reality is, most of the emails you get don't require you to personally look at them. Freestyle completely eliminates the need to check those emails, and handles them all at once for you, immediately. \r\n\r\nFreestyle is here to file away spam, sift through newsletters for important tidbits, text you important notifications, and reply to mundane emails, so that no matter how many thousands of emails are in your inbox, you'll just be left with the few emails that actually require your personal touch.\r\n\r\nGetting this right is difficult, so everyone else settles with trying to help you go through your email twice as fast. If you want to go 100x as fast, you shouldn't spend even a second on useless emails. \r\n\r\nFreestyle gets this right, bringing the elite experience of having a professional assistant to the entire world.",
    "one_liner": "The AI Assistant for Gmail",
    "team_size": 3,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1731106672,
    "tags": [
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      "Email",
      "AI",
      "AI Assistant"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
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    "demo_day_video_public": true,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/freestyle-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/freestyle-ai.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/fridaymail/",
    "x_url": "https://x.com/freestyledotai",
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    "app_video_url": null,
    "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/67/1733353579-cc8dcbdfcdbbc8f32ffb087ac2f1e515/19b6e496f4ca46b9a8f9b30fff1dcc53.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022724Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=9b7903b50db8aa19c8b34049a1fbd895c85646cf0f526e87d8ce94fdac2eebab",
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 1637852,
        "full_name": "Allen Naliath",
        "title": "Founder/CEO",
        "founder_bio": "We're building the perfect virtual assistant for your email. I get rejected daily, I write great emails, and I'm a beekeeper.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/allennaliath/",
        "x_url": "https://x.com/AllenNaliath",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6c7a273777f65e479ca781d259518a2c166cceab.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 85611,
        "title": "Friday - Never check your email again",
        "tagline": "Offload all of your emails to your AI virtual assistant.",
        "body": "Hey everyone! We're Allen and Advait from Friday and we are using AI to help you reduce your email inbox to only the most essential emails, teaching your assistant how to handle the rest.\\\n\\\n**TLDR:** Email sucks, and takes forever. Most of your emails don’t require you to personally handle them. So, like a human assistant, Friday will draft responses, perform outreach and follow up, text you when you get urgent emails, get rid of clutter, and more, so you can focus on the dozen or so actually important emails in your inbox.\n\nFriday is meant for anyone who would benefit from having an assistant manage their inbox. If you want to automate 99% of your emails, [try Friday](https://www.fridaymail.ai/) right now!\\\n<https://youtu.be/2Dq11hlJhqs>\n\n### **The Problem:**\n\nEmail sucks. You either spend hours dealing with all the emails in your inbox, or you ignore them.\n\nIt takes forever, and hiring a human assistant is costly and introduces privacy concerns.\n\n### **The Insight:**\n\nThe reality is that almost all of the emails you receive resemble emails that you have dealt with before.\n\nSo, you can just tell an AI what kind of emails you get, and tell it exactly how to handle those emails, and it can just do it for you.\n\nNow, you only have to deal with the important, fun, or unique emails, forever eliminating the chore of going through your inbox.\n\n### **The Solution:**\n\n# **Smart Inbox**\n\nYou can tell Friday the kinds of emails you get using natural language, and then define actions that Friday should take once those emails come in.\n\nFor example:\n\n* When you get an investor email, Friday gives personalized answers to their questions and sends them a meeting link.\n* If a customer has an urgent request, have Friday text you so you can respond to them immediately.\n* Follow up with clients that take forever to answer their email, until they respond (they should use Friday).\n* If you get customer support emails, Friday answers their questions based on its memories and forwards the interaction to your cofounder.\n* Summarize all the notifications from GitHub, Linear, Google, etc., and then archive those emails\n* Whenever you get a new customer, Friday can search the web and write a personalized email to all of them, answering any questions they may have, immediately\n* And so much more!\n\nJust take a look at your inbox, see the emails that aren’t extremely important, and let Friday handle those emails from now on, so your inbox is left with the 5 emails a day that you want to personally handle.\n\n# **Personal Assistant**\n\nFriday also lets you chat with your personal assistant. You can have it reply to emails, check your inbox, send out personalized outbound, and more!\n\nFor example, if you wanted a meeting with Garry, you could ask Friday to go through your previous email history with Garry, perform a web search to learn more about Garry, and using what it knows about you, write a personalized email to him.\n\nYou can give it a dozen names or emails, and it’ll do research and write personalized emails to all of them that can be approved and sent out with a single message.\n\nGetting this right is difficult, so everyone else settles with trying to help you go through your email twice as fast. If you want to go 100x as fast, you shouldn't spend even a second on useless emails.\n\n### **Our Ask:**\n\n**This product is meant for anyone who would benefit from having an assistant manage their inbox. If you want to automate 99% of your emails, **[**try Friday**](https://www.fridaymail.ai/)** right now!**\n\n**Happy Friday!**\n\n![uploaded image](/media/?type=post&id=85611&key=user_uploads/89898/62484de1-6fae-4ea8-afb2-6ac748297bf4)\n\n",
        "url": "https://www.ycombinator.com/launches/MGp-friday-never-check-your-email-again",
        "votes": 754,
        "created_at": "2024-11-15T21:51:47.107Z"
      }
    ]
  },
  {
    "id": 30165,
    "name": "Edexia",
    "slug": "edexia",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c47809acef827e8266fe22b15646d39f5911391.png",
    "website": "https://www.edexia.com/",
    "all_locations": "Brisbane, QLD, Australia",
    "long_description": "Edexia is an AI Teacher Assistant for grading essays. It can be trained and controlled by the teacher and can grade assignments from any curriculum, year level, subject, or format. \r\n\r\nLearning like a teacher, Edexia visually breaks down its understanding of the rubric, and updates this as a teacher corrects it.\r\n\r\nOur vision is to transform education by facilitating AI’s safe and effective integration across all institutions and applications. Not using AI to replace teachers but rather to empower them—providing them with all the time and resources they need to develop their students.",
    "one_liner": "AI Teacher Assistant for Grading Essays",
    "team_size": 4,
    "industry": "Education",
    "subindustry": "Education",
    "launched_at": 1733896630,
    "tags": [
      "AI-Enhanced Learning",
      "Education",
      "SaaS",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
      "Education"
    ],
    "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/edexia",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/edexia.json",
    "year_founded": 2023,
    "city": "Brisbane",
    "country": "AU",
    "linkedin_url": "https://www.linkedin.com/company/edexia-ai/",
    "x_url": "https://x.com/EdexiaAi",
    "fb_url": "https://www.facebook.com/people/Edexia/61573196551815/#",
    "cb_url": "https://www.crunchbase.com/organization/edexia/",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c47809acef827e8266fe22b15646d39f5911391.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1485291,
        "full_name": "Daniel Gibbon",
        "title": "Founder/CEO",
        "founder_bio": "CEO of Edexia. Second-time technical founder. Previously built an EdTech to 200k ARR at 18 in 1 year while achieving a perfect GPA. TEDx Speaker on AI in education. Ranked in the top 30 in my state out of high school. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/daniel-gibbon-/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9ddc48143a5db5276ad254ac68a474e7f04ca806.jpg"
      },
      {
        "user_id": 1485300,
        "full_name": "Nathan Wang",
        "title": "Founder/CTO",
        "founder_bio": "CTO of Edexia. Second-time technical founder. Previously built an EdTech to 200k ARR at 17 in 1 year while achieving a perfect GPA. Ranked in the top 200 in my state out of high school.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nathan-wang-b73966235/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2569b3d8c98d012d8b5357cd20f6f32e74f0430d.jpg"
      }
    ],
    "jobs": [
      {
        "id": 76273,
        "title": "Engineer",
        "url": "https://www.ycombinator.com/companies/edexia/jobs/eAEdKOv-engineer",
        "location": "Brisbane, QLD, AU / Brisbane, Queensland, AU / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$80K - $200K",
        "equity_range": "1.00% - 3.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Python",
          "TypeScript",
          "AI Agents"
        ]
      },
      {
        "id": 97188,
        "title": "Founding School Partnerships Lead / Account Executive",
        "url": "https://www.ycombinator.com/companies/edexia/jobs/RHxYDtn-founding-school-partnerships-lead-account-executive",
        "location": "Brisbane, QLD, AU / Brisbane, Queensland, AU / Remote (Sydney, NSW, AU; Sydney, New South Wales, AU; Melbourne, VIC, AU; Melbourne, Victoria, AU)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $500K",
        "equity_range": "0.10% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 108867,
        "title": "Founders Associate",
        "url": "https://www.ycombinator.com/companies/edexia/jobs/UGX51yr-founders-associate",
        "location": "Brisbane, QLD, AU / Brisbane, Queensland, AU",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$50K - $100K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Elite Qld schools trial AI to mark student work | The Courier Mail",
        "url": "https://www.couriermail.com.au/queensland-education/schools-hub/elite-qld-schools-trial-ai-to-mark-student-work-ease-load-on-teachers/news-story/5e886cc83b78ca0a3aa7d2d5cb9dd7e0",
        "date": "Feb 14, 2025"
      },
      {
        "title": "Ventures alumni lands in SF - Ventures - University of Queensland",
        "url": "https://ventures.uq.edu.au/blog/2025/01/ventures-alumni-lands-sf",
        "date": "Feb 06, 2025"
      },
      {
        "title": "Brisbane AI edtech Edexia accepted into Y Combinator",
        "url": "https://www.businessnewsaustralia.com/articles/brisbane-ai-edtech-edexia-accepted-into-y-combinator-for-2025.html",
        "date": "Nov 11, 2024"
      }
    ],
    "launches": [
      {
        "id": 86220,
        "title": "Edexia: AI Teaching Assistant for Grading Papers",
        "tagline": "AI that learns like a teacher—delivering higher-quality, more frequent gradings in up to 100% less time",
        "body": "# TL;DR\n\nEdexia is an AI teaching assistant that grades papers for teachers. It learns the style of each individual teacher, so it can grade just like they do, saving up to 100% of grading time.\n\nEdexia can grade assignments from any curriculum, year level, subject, or format. Learning like a teacher, it visually breaks down its understanding of the rubric, and then updates this, as a teacher corrects its grading on the fly.\n\n[Watch the demo video here!](https://youtu.be/43dOCAkHDO8)\n\n# **👥** Founding Story\n\n![uploaded image](/media/?type=post&id=86220&key=user_uploads/1485291/dd7010a0-0ce6-4ea9-9f96-274ded8cbce0)\n\nWe’re Daniel and Nathan. We met at university after both graduating among the state's top students (top 30 and 200). Our shared goal of making a meaningful impact through our careers, combined with our passion for education and technology, led us to launch our first EdTech company. After growing it to $200K ARR in just over a year, we pivoted to Edexia to pursue an opportunity with even greater potential for positive impact.\n\n# **🌍** Our Vision\n\nWe want to transform education by facilitating the safe and effective integration of AI across all institutions and applications. Not using AI to replace teachers but rather to empower them—providing them with all the time and resources they need to develop their students.\n\n# 🚀 Progress\n\nSince launching on August 1st, we have already collaborated with 11 of Australia's best schools in Q4 2024 and are arranging an additional 30 partnerships for Q1 2025. We aim to positively impact every institution in every country in the near future.\n\n# 🙏 Our Ask\n\n1. **Work in education?** We'd love to talk and see if your institution could benefit from this technology. [Book a call here.](https://tidycal.com/danielbcgibbon/edexia-online-demo-and-discussion)\n2. **Know any educators?** Please forward them our demo video and cc [daniel@edexia.com.au](mailto:daniel@edexia.com.au)\n3. **Passionate about EdTech?** Let's connect! Just email me at [daniel@edexia.com.au](mailto:daniel@edexia.com.au).",
        "url": "https://www.ycombinator.com/launches/MQe-edexia-ai-teaching-assistant-for-grading-papers",
        "votes": 29,
        "created_at": "2024-12-11T19:08:12.734Z"
      }
    ]
  },
  {
    "id": 30213,
    "name": "Dexto",
    "slug": "dexto",
    "former_names": [
      "Truffle AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/151976ce07fb22bf59209dda8531a283a9eeda58.png",
    "website": "https://www.dexto.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Dexto makes it easy for developers to integrate AI agents into any software application. We do this by exposing agents as simple APIs that can be called from anywhere. Developers have used Dexto to add customer support agents into WhatsApp and analytics agents into Slack.",
    "one_liner": "AWS for AI Agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1740509470,
    "tags": [
      "Developer Tools",
      "Generative AI",
      "Infrastructure",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "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/dexto",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/dexto.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/dexto",
    "x_url": "https://x.com/dexto_ai",
    "fb_url": null,
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        "full_name": "Shaunak Srivastava",
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        "full_name": "Rahul Karajgikar",
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        "founder_bio": "Co-founder and CTO at Truffle AI - building developer tools for AI agents\nFormer engineer at AWS OpenSearch. ",
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        "id": 88053,
        "title": "Truffle AI - AI Agents that work in any Software Application",
        "tagline": "Integrate AI Agents with simple APIs, seamlessly",
        "body": "Hey YC!\n\nWe’re Shaunak and Rahul and we are making it easy for developers to **integrate AI Agents into any software application**. We do this by making agents available as simple APIs that can be called from anywhere. Developers have used Truffle to add customer support agents into WhatsApp and integrate analytics agents into Slack. Check out our demo below 👇\n\n<https://youtu.be/5tEuWYWNSPA>\n\n### **The Problem**\n\nWhile AI models have become more accessible, getting AI agents to production remains painfully complex. Developers don’t just need a model—they need to handle:\n\n* Managing state, memory, and vector databases\n* Manually integrating external tools and APIs\n* Customizing agents for specific business logic\n* Setting up and maintaining deployment infrastructure\n\nDespite existing frameworks, **developers still spend 60% of their time on \"glue code\" instead of building actual AI solutions**. Companies burn **$100K–$200K per year** on DevOps overhead, just to manage AI agent infrastructure. AI should be easier to integrate than this.\n\n### **The Solution**\n\nTruffle AI eliminates infrastructure headaches by turning AI agents into plug-and-play APIs:\n\n* **No infrastructure setup** - Our managed service handles the heavy lifting, eliminating deployment and scaling concerns\n* **Seamless integration** - Add AI agents to any application with just a few lines of code\n* **Full customization** - Build agents tailored to your specific business challenges\n* **Reusability** - Deploy the same agents across multiple applications\n\nMost AI adoption today is being held back by engineering complexity—Truffle AI removes that bottleneck, making AI agents as simple to integrate as calling an API.\n\n### **Our Story**\n\n![uploaded image](/media/?type=post&id=88053&key=user_uploads/1684384/164d65b8-6f92-4bc5-809d-a82b0c99c029)\n\nAs developers, we both hit the same frustrating wall: spending countless hours writing \"glue code\" for infrastructure instead of building innovative AI solutions.\n\nWhile exploring several frameworks to build AI agents, we discovered a critical gap - none addressed the massive infrastructure overhead required for production-ready AI systems.\n\nWith Rahul's expertise in large-scale deployment and cluster management at AWS and Shaunak's background in AI research and product development, we realized we were uniquely positioned to solve this problem.\n\nOur mission became clear: make powerful AI accessible to businesses of all sizes by eliminating the infrastructure barriers that slow innovation.\n\n### **Who Is This For?**\n\n👩‍💻 **Software developers** who want to add AI capabilities without becoming infrastructure experts\\\n🏢 **Startups and enterprises** looking to quickly deploy AI solutions without hiring specialized DevOps teams\\\n🔧 **AI engineers** who want to focus on agent design rather than deployment pipelines\\\n🛠️ **Product teams** who need to iterate rapidly on AI features without getting bogged down in infrastructure\n\n# \n\n### 🌎 **What Can You Build?**\n\nWith Truffle AI, developers have already built:\n\n💬 Customer support agents that automate WhatsApp & Slack interactions\n\n📊 Analytics agents that fetch and analyze data from spreadsheets\n\n🤖 Multi-agent workflows that coordinate different AI tasks seamlessly\n\n### **Get Started**\n\n**Looking to integrate AI Agents into your organization?** Truffle AI can help!\n\n* [Schedule a demo](https://calendly.com/shaunak-trytruffle/30min) with us!\n* [Try it out](https://www.trytruffle.ai/) yourself on our platform!\n* Want to dive into the code? Check out our [docs](https://docs.trytruffle.ai/introduction)!",
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    "long_description": "Founder led hiring for London startups\r\n",
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    "regions": [
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        "full_name": "Andrew Malouf",
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    "year_founded": 2024,
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        "full_name": "Rayan Ghandour",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ G LNK (W25)\n\nRayan graduated from UChicago with degrees in Chemistry and Economics and built his expertise in the healthcare sector at PwC's pharma and life sciences consulting practice. There, he specialized in healthcare collaboration and compliance solutions. Rayan was recognized as the top consulting analyst in the US for leading automation technologies in pharmaceutical compliance.",
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        "full_name": "Raouf Abujaber",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO @ G LNK (W25)\n\nRaouf brings three years of advanced research experience from AxLab, where he specialized in developing neural network architectures for multimodal human-computer interaction systems with adaptive reinforcement learning algorithms. His multidisciplinary background includes degrees in Computer Science, Economics, and Astrophysics.",
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        "id": 88235,
        "title": "G LNK - Simplifying collaboration between Pharma & Healthcare professionals",
        "tagline": "Meet G LNK, the AI one-stop shop for all medical interactions",
        "body": "Hey YC!\n\nWe’re [Raouf](https://bookface.ycombinator.com/user/2360566) and [Rayan](https://bookface.ycombinator.com/user/2366179) — co-founders of G LNK\n\n**TL;DR**\n\nG LNK is an AI-powered platform that connects Pharma companies with doctors & researchers. Rayan worked on this as a consultant, where Pharma companies spent billions annually just to determine how much to pay doctors while staying within regulatory guidelines. Using LLMs, we’re automating the end-to-end process—from identifying candidates to compensation and compliance.\\\n<https://youtu.be/16oP6roNnZk>\n\n**Problem**\n\nPharma companies spend over **$70 billion annually** on engaging doctors & researchers, yet a lot of that money is wasted on outdated and manual processes:\n\n* **Outsourcing is expensive and slow**: Companies spend millions on third parties (consulting, recruiting, and regulatory firms)  just to find the right experts and to know how much to pay them compliantly.\n* **Compliance risks are high**: Payment miscalculations can lead to regulatory violations and hefty fines\n* **Data is scattered**: Contracts, payments and compliance tracking are spread across disconnected systems, making transparency and oversight difficult\n\n<https://youtu.be/qDdFbMWO6eU>\n\n**Solution**\n\n**G LNK automates Pharma companies' entire healthcare professional (HCP) engagement process**—from identifying suitable doctors to engaging them. Here’s how it works:\n\n1. **Identify HCPs:**\n   * Identify a doctor from our database of over 3.2 million user profiles (growing 250% MoM).\n   * Alternatively, if you know who you want to engage, simply upload the doctor’s CV and we will take care of the rest.\n2. **Calculate Compensation:**\n   * Instantly determine their compensation rates.\n   * Adjust the rates dynamically based on factors such as service type and travel requirements.\n3. **Engage Directly:**\n   * Contact the selected doctors directly through our platform.\n4. **Ensure Compliance:**\n   * Maintain regulatory compliance and prevent compliance violations before they happen.\n   * Leverage real-time data from trusted sources like NIH, PubMed, CBS, CMS, and more.\n\nThis step-by-step solution replaces multiple vendors with a single AI-powered platform, ensuring efficient, compliant, and cost-effective HCP engagement.\n\n**Additional Features**\n\n* **Built-in CRM** to track all HCP engagements\n* **Comprehensive financial tracking**, including:\n  * All Transfer of Value payments made to HCPs (date, purpose, associated drug)\n  * Drug coverage breakdown\n  * Monthly payment summaries\n  * Payment analysis by Therapeutic Area\n* **Tailored recommendations** for grants, conferences, and publications for HCPs\n* **Centralized database** of regulations and Codes of Conduct across 150+ countries\n\n**Team**\n\nRayan and Raouf have known each other for over a decade, with their professional relationship cementing itself during their time as researchers at the University of Chicago.\n\n**Rayan (CEO)** worked as a Life-Sciences Consultant at PwC and was recognized as top consulting analyst in the US for pioneering automation in pharmaceutical compliance. He holds degrees in Chemistry & Economics at UChicago, where he was one of the youngest biochemistry researchers at Pritzker School of Engineering.\n\n**Raouf (CTO)** worked as a ML-researcher at AxLab, where he specialized in developing neural network architectures for multimodal human-computer interaction with adaptive reinforcement learning. He has a multidisciplinary background, with degrees in Computer Science, Astrophysics, & Economics from UChicago\n\n![uploaded image](/media/?type=post&id=88235&key=user_uploads/2366179/8a3b2573-1a0d-499b-b252-94260eb9ca1d)\n\n**We are on a mission to help Pharma companies cut costs, enhance accuracy with better benchmarking, and save valuable time. By streamlining these critical processes, we empower Pharma to focus more resources on manufacturing, distribution, and supply—accelerating the delivery of life-changing treatments to those who need them most.**\n\n**Our Asks**\n\nWe would really appreciate introductions to anyone working in the Pharma industry or any health-related verticals. Additionally, if you know any physician/research communities, we would love to talk and learn more!",
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        "created_at": "2025-03-03T23:58:34.131Z"
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    "website": "https://rebolt.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Rebolt sits on top of your systems and builds tailor-made AI software - to drive outcomes",
    "one_liner": "AI-Powered Company OS",
    "team_size": 3,
    "industry": "B2B",
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    "stage": "Early",
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    "country": "US",
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        "full_name": "Celia Manzano",
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        "full_name": "Javier Sanchez",
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        "url": "https://www.ycombinator.com/companies/rebolt/jobs/gOEVDd8-founding-growth-engineer",
        "location": "San Francisco, CA, US / Remote (Madrid, MD, ES; London, England, GB)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$60K - $180K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "title": "Founding Frontend/Design Engineer",
        "url": "https://www.ycombinator.com/companies/rebolt/jobs/JCRcV6h-founding-frontend-design-engineer",
        "location": "San Francisco, CA, US / Remote (Barcelona, CT, ES; Madrid, MD, ES; London, England, GB)",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "$60K - $180K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
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      {
        "id": 78730,
        "title": "Founding Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/rebolt/jobs/G4aLyQv-founding-forward-deployed-engineer",
        "location": "San Francisco, CA, US / Remote (London, England, GB; Madrid, MD, ES; Madrid, Community of Madrid, ES; Barcelona, CT, ES; Barcelona, Catalonia, ES)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$60K - $180K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 78732,
        "title": "Founding AI Engineer",
        "url": "https://www.ycombinator.com/companies/rebolt/jobs/siEnV0n-founding-ai-engineer",
        "location": "San Francisco, CA, US / Remote (Madrid, MD, ES; Madrid, Community of Madrid, ES; Barcelona, CT, ES; Barcelona, Catalonia, ES; London, England, GB)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$60K - $180K",
        "equity_range": "0.50% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 78750,
        "title": "Founding Backend Software Engineer",
        "url": "https://www.ycombinator.com/companies/rebolt/jobs/f0qBn0A-founding-backend-software-engineer",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$60K - $180K",
        "equity_range": "0.50% - 2.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
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    "launches": [
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        "id": 93048,
        "title": "Rebolt - AI-Powered Company OS",
        "tagline": "Rebolt sits on top of your systems and builds tailor-made AI software to drive outcomes",
        "body": "![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/7fa6e21d-e9e1-4e04-9c2a-3548b5ad8e17)\n\nUnlike consumer vibe coding tools like Lovable and Replit, which are great WordPress replacements and prototyping tools, they're not purpose-built for company use.\n\nRebolt provides:\n\n1. Ready to use AI within apps, no API keys required.\n2. Off-the-shelf integrations with: OneDrive, SharePoint, Salesforce, Teams, Slack, custom APIs, and many more.\n3. Company knowledge for building and using within apps.\n4. Mapped roles and permissions with Azure groups and all SCIM providers.\n5. Database, file storage, cron jobs, and audit logs.\n6. Separate staging and production environments.\n\nNot for landing pages, but for creating effective AI solutions that work for you.\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/0b35bd7a-13f5-4e96-a302-74fb11d7037a)\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/fccbc91c-62b2-4b65-be99-3562f49566f3)\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/79d1b192-62fc-4dfa-8a17-c7c33ac99d4f)\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/7a177b29-3130-45ef-b5be-dbd333b526f0)\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/0f28c3d7-5168-47a7-8871-24048d44c15e)\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/4f189bd0-18c3-4a54-bd40-9d026247691d)\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/51e715bf-f444-4799-a8e9-232650b0b04f)\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/1c4f150d-ddd2-49b9-8843-760d5d12231b)\n\n## Our ask\n\n* Warm intros with CIOs and “AI champions”\n* Product feedback (ask for more free credits at [founders@rebolt.ai](mailto:founders@rebolt.ai))\n* Relevant use cases within your industry\n\nTry it here now: https://rebolt.ai\n\nWork with us, automating the world’s manual work: https://www.ycombinator.com/companies/rebolt/jobs",
        "url": "https://www.ycombinator.com/launches/OCm-rebolt-ai-powered-company-os",
        "votes": 149,
        "created_at": "2025-08-19T14:18:49.533Z"
      }
    ]
  },
  {
    "id": 30355,
    "name": "assistant-ui",
    "slug": "assistant-ui",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/11f41b527f94c63e7d0ee1e19db038344f713a8f.png",
    "website": "https://assistant-ui.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "assistant-ui helps frontend developers add AI chat to their apps. Our product is used by several dozen companies, like LangChain, Stack AI, Browser Use, and Athena Intelligence. We're building an open source Typescript/React library and a backend as a service, with first class integrations into popular agent frameworks like LangGraph and Vercel AI SDK.",
    "one_liner": "Open Source React.js Library for AI Chat",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1738873528,
    "tags": [
      "Developer Tools",
      "Generative AI",
      "Chat",
      "Web Development",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "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/assistant-ui",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/assistant-ui.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/assistant-ui",
    "x_url": "https://x.com/assistantui",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/assistant-ui",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/11f41b527f94c63e7d0ee1e19db038344f713a8f.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ad1f668d6df40ad631ffb47c3e83f2c68a3d35a3.png"
    ],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1152943,
        "full_name": "Simon Farshid",
        "title": "Founder/CEO",
        "founder_bio": "Simon is the Founder and CEO of assistant-ui. He previously co-founded READO, a book recommendation engine, and grew it to 140k MAUs. Simon started coding at age 12 and has won 8 hackathons in 5 countries.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/simon-farshid",
        "x_url": "https://twitter.com/simonfarshid",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/af1d0d9c7c17a63007af5dd69ffcd511a7d9bd4e.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 87644,
        "title": "💬 assistant-ui - Open Source Typescript/React Library for AI Chat",
        "tagline": "The UX of ChatGPT in your own app, connected to your own AI agents.",
        "body": "Hi YC! I’m Simon, building **assistant-ui**, an open source Typescript/React library for AI chat.\n\nHundreds of projects use assistant-ui to build in-app AI assistants, including companies like:\n\n![Logos of LangChain, AthenaIntelligence, Browser Use, Stack AI](https://bookface.ycombinator.com/media/?type=post&id=87644&key=user_uploads/1152943/d3eda556-de8c-4404-b4be-c0295f9aeb8e)\n\nWith >50k+ monthly downloads, assistant-ui is the most popular UI library for AI chat.\n\n## **Getting Started**\n\nYou can get started by running **\\`npx assistant-ui create\\`** (new project) or **\\`npx assistant-ui init\\`** (existing project) in your terminal.\n\n![Gif showing the setup process, which takes under 30 seconds](https://bookface.ycombinator.com/media/?type=post&id=87644&key=user_uploads/1152943/17c78ae1-d8cf-4fc4-a8aa-056fe449da02)\n\n## **Features**\n\n* **Pre-built components**, fully customizable\n* **Connects to your backend**\n  * We have first class integration for **AI SDK** and **LangGraph** or build your own\n* **Generative UI**: Map LLM tool calls and JSONs to custom UI components\n* **Frontend Tool Calls:** Let LLMs take action in your frontend app\n* **Human Tool Calls:** Human approvals and input collection\n* **Chat history and analytics** via assistant-cloud (the hosted offering)\n\n## **Customization**\n\nThe API of assistant-ui is inspired by libraries like **Radix UI** and **cmdk**. Instead of a single monolithic chat component, we give you composable primitives and a great starter configuration. You have full control over the look and feel of every pixel while leaving auto-scrolling, LLM streaming and accessibility to us.\n\n![Photo showing the modular component structure. ComposerPrimitive.Input is the chat input field, ComposerPrimitive.Send is the send button.](/media/?type=post&id=87644&key=user_uploads/1152943/d8eacc69-2d94-4c43-8fab-2dcac5e7f029)\n\nSample customization to make a perplexity lookalike:\n\n![Perplexity lookalike Chat UI](/media/?type=post&id=87644&key=user_uploads/1152943/16e96ae2-d563-4f6c-9047-6c3485a1cb3d)\n\n## **Demo Video**\n\n[Demo Video](https://youtu.be/9eLKs9AM4tU?si=jm9GzoFAcyM_tPT-)\n\n## **About**\n\nI’ve wanted to build my own dev tool company since high school. Last year, I built the first version of assistant-ui because I needed the UX of ChatGPT in my own app. The app I was building didn’t work out, but few friends asked me about the chat UI. Since then, AI chat has became increasingly popular as a means for delegating tasks to AI agents. My focus is on enabling human <> agent collaboration through better UX and AX (agent experience).\n\n![Photo of Simon, the founder](https://bookface.ycombinator.com/media/?type=post&id=87644&key=user_uploads/1152943/d43c8332-b160-40d8-8f27-849bd82806e3)\n\n## **Ask**\n\n* [Check out example demos](https://www.assistant-ui.com/)\n* [Star us on GitHub](https://github.com/assistant-ui/assistant-ui)\n* [Join our Discord](https://discord.com/invite/S9dwgCNEFs)\n* [Book a sales call](https://cal.com/simon-farshid/assistant-ui)",
        "url": "https://www.ycombinator.com/launches/Mnc-assistant-ui-open-source-typescript-react-library-for-ai-chat",
        "votes": 30,
        "created_at": "2025-02-13T15:37:24.704Z"
      }
    ]
  },
  {
    "id": 30418,
    "name": "Kanava AI",
    "slug": "kanava-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8e470a808656775379182b4abad93b0d9dcb9e5b.png",
    "website": "https://kanava.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Distributors face a shrinking workforce and rising call volume.\r\n\r\nKanava AI builds voice-based agents that act like junior sales reps — starting with routine inbound calls, stock and price checks, field note logging, and CRM updates using live ERP data.\r\n\r\nAs the system learns from top reps and real workflows, it levels up: managing full sales calls, surfacing upsells, coaching teams, and reactivating dormant accounts.\r\n\r\nWe help distributors scale sales output without adding headcount — by automating the work reps shouldn’t be doing in the first place.",
    "one_liner": "Your First AI Sales Hire for Wholesale Distributors",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1747765211,
    "tags": [
      "Sales",
      "Supply Chain",
      "AI",
      "AI Assistant",
      "Industrial"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Inactive",
    "industries": [
      "B2B",
      "Supply Chain and Logistics"
    ],
    "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/kanava-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/kanava-ai.json",
    "year_founded": 2025,
    "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/8e470a808656775379182b4abad93b0d9dcb9e5b.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 2493431,
        "full_name": "Smit Dagli",
        "title": "Founder",
        "founder_bio": "Automating sales for distributors using agents. Prev built evals for agents @Observe, backend engineering at Abnormal Security, ChestnutFi, Salesforce",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/smitdagli/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a3798ed0d6fb256e742c318ffc438902b3271416.jpg"
      },
      {
        "user_id": 2491961,
        "full_name": "Vikhyath Mondreti",
        "title": "Founder",
        "founder_bio": "Interested in voice agents and selling software to traditional businesses. Founder at Kanava AI.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/vikhyath-m-a00357128/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dec6967a704126d3612fd7dfc001c119c658b5ef.jpg"
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 90571,
        "title": "Kanava - Your First AI Sales Hire for Wholesale Distributors",
        "tagline": "Answers routine inbound sales calls using ERP data, with hands-free note logging and CRM updates for field reps",
        "body": "**Industrial Sales teams are underwater. Here’s why - and what we’re doing to fix it.**\n\nHi everyone! We’re [Smit](https://www.linkedin.com/in/smitdagli/) and [Vik](https://www.linkedin.com/in/vikhyath-m-a00357128/) - the founders of [Kanava AI](https://kanava.ai/)\n\n**Problem and Opportunity:**\n\nThe wholesale distribution industry is massive: _$9T+ in annual revenue. 410,000+ businesses. 6 million+ employees._\n\nAnd yet — sales teams are drowning.\n\n* **A third of the workforce is over 55**, and replacements aren’t coming fast enough.\n\n  (“Most of my sales reps are **retiring in the next 2-3 years**, I have **NO idea** what I’ll do after” - a medium sized electrical goods distributor from Indiana we met)\n* **Reps spend less than 30% of their time selling**. The rest? Answering repetitive calls (“What’s the price of this SKU?” “Which warehouse has it?”), digging through systems, and manual follow-ups.\n* **Over 25% of inbound calls never reach a human** — lost revenue, lost trust, lost time.\n\nThis isn’t just inefficiency. It’s operational drag at scale — and it's only getting worse.\n\n[https://www.youtube.com/watch?v=s1NVVxRnLL8](https://www.youtube.com/watch?v=s1NVVxRnLL8%5C%5C)\n\n**How’re we solving it:**\n\nWe’re building Kanava AI, a voice-based AI agent designed for wholesale distributors.\n\nIt handles repetitive tasks like **answering stock, price,** and **order status calls** using live **ERP** data and logging **field notes hands-free**, drafting follow-ups, updating the **CRM** all _automatically_.\n\nIt’s like a junior rep-in-training. It starts with the basics, but improves quickly by learning from the company’s best performers. Over time, Kanava takes on more:\n\n•⁠ **⁠Managing consultative sales calls** \\\n•⁠ ⁠**Identifying upsell opportunities** in real time \\\n•⁠ ⁠**Surfacing coaching insights** from rep conversations \\\n•⁠ ⁠**Re-engaging dormant accounts** with timely, data-backed outreach\n\nAnd by the time these reps are ready to retire, Kanava is **ready to fill the void they leave.**\n\nMost AI tools in this space fail because they try to do too much, too early, and distributors are famously late adopters. We’re taking a more deliberate path: start with low-leverage work, prove value, and scale responsibility as the system earns it.\n\n**Our Team**\n\nVik (CTO) and Smit (CEO) know each other since freshman year of college at UC Berkeley. Both of us studied CS, and worked as AI engineers at various startups before deciding to build our own thing and join YC.\n\n**Smit:** Built incident resolution agents at a series B observability startup called Observe. Previously worked at Abnormal Security and Salesforce.\n\n**Vik**: Built voice agents for numerical data entry and hands-free navigation for a data management platform called Uncountable. Previously worked at Uber and Amazon.\n\nWe’re both outsiders to the wholesale distribution industry, but we’re listening hard and learning fast.\n\nWhat made us really want to work together was being on the same ultimate frisbee team in the senior year of college - that team was a disaster, we lost every single game we played by huge margins, but despite that, we had a ton of fun and stuck together!\n\n**Our Ask** If you know any **distributors, field sales heavy businesses or IMR’s (Independent Manufacturer Reps)**, we’d appreciate a connection at [smit@kanava.ai](mailto:smit@kanava.ai) or [vikhyath@kanava.ai](mailto:vikhyath@kanava.ai). We’ll make their lives a lot easier and buy you a coffee ☕🤎\n\n![uploaded image](/media/?type=post&id=90571&key=user_uploads/2493431/bdc2c377-20b6-4db8-ac56-448fb5adafa6)\n\n",
        "url": "https://www.ycombinator.com/launches/NYp-kanava-your-first-ai-sales-hire-for-wholesale-distributors",
        "votes": 56,
        "created_at": "2025-05-20T20:55:42.407Z"
      }
    ]
  },
  {
    "id": 30480,
    "name": "Flott HQ",
    "slug": "flott-hq",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb20e1f29c5b7138851e75459877c74ca0beccf7.png",
    "website": "https://www.flotthq.com",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Flott helps transport and logistics companies run leaner, smarter, and more profitable operations. Flott unifies everything transport and logistics teams need in a single, AI-powered control center—bringing planning, live tracking (gps, fuel, etc), invoicing, and payments into one place and delivering true end-to-end visibility. Flott’s AI agents act as an extension of fleet managers — automating repetitive tasks and optimizing workflows.This lets companies focus on what truly matters: growing the business.",
    "one_liner": "AI-native operating system for vehicle fleet management",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1746507069,
    "tags": [
      "Logistics",
      "Transportation",
      "Operations",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "France",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/flott-hq",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/flott-hq.json",
    "year_founded": 2025,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/flott-hq",
    "x_url": "https://x.com/flott_hq",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb20e1f29c5b7138851e75459877c74ca0beccf7.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1796881,
        "full_name": "Sylvanus MAHE",
        "title": "Founder/CEO",
        "founder_bio": "Buiding The AI that drives fleet management forward",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sylvanus-mahe",
        "x_url": "https://x.com/sylvanus_mahe",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/79283ff38ac16588e6816753addb18f3914c2821.jpg"
      },
      {
        "user_id": 2092587,
        "full_name": "Kanvaly Fadiga",
        "title": "Founder/CTO",
        "founder_bio": "Buiding The AI assistant that drives fleet management forward",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kanvaly-fadiga",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5cf0d081879c89737bf7d126b8cff8b5cd8606c8.jpg"
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    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 90763,
        "title": "Flott HQ - AI-native Operating System for Fleet Management",
        "tagline": "All your fleet data in one place, with AI agents handling the busywork",
        "body": "# **TL;DR**\n\nFlott helps transport and logistics companies run leaner, smarter, and **more profitable operations.**\n\n**Flott unifies everything transport and logistics teams need in a single, AI-powered control center** — connecting operational data (planning, gps, fuel, etc.) and financial data (revenue, customers, orders) in one place to deliver true end-to-end visibility. Flott’s AI agents act as an extension of fleet managers, automating repetitive tasks and optimizing workflows. This enables companies to focus on what truly matters: growing the business.\n\nhttps://youtu.be/P6UUBwV7kVk\n\n**🚨 The Problem**\n\n**Fleet operations today are burdened by complexity, silos, and inefficiencies.**\n\nMost teams rely on a patchwork of disconnected tools, leading to:\n\n* Business owners **lacking clear end‑to‑end visibility**\n* **Manual workflows** and duplicated effort\n* **Endless back‑and‑forth** between dispatch, drivers, and admin\n* Delayed invoices, lost payments, and shrinking margins\n\nAs operations grow, so do the headaches — making it harder to scale without losing control. Many companies end up losing money without even realizing it, buried under operational inefficiencies and lack of visibility.\n\n**✅ The Solution**\n\nFlott unifies everything transport and logistics teams need into one AI‑powered control center.\n\n📆 **Planning**: AI-assisted planning and dispatch\n\n📍 **Live Tracking**: track your asset position but also resource consumption like fuel, mileage, driving hours…\n\n💸 **Invoicing & Payments**: Fast, automated billing and payment tracking — Dynamic and customizable pricing strategies\n\n👥 **Collaboration**: Collaborate within your team to get things done faster with the help of our **AI Agents**\n\n📊 **Insights**: Powerful analytics to reduce costs and increase efficiency — Track the KPIs that matter in real-time and get in-depth AI-based insights from operations to finance\n\n**Traction:** We are already at $200k ARR, growing 45% month over month, all of it through word of mouth.\n\n## **The Team**\n\nWe’re [**@Sylvanus MAHE**](https://www.linkedin.com/in/sylvanus-mahe) and [**@Kanvaly Fadiga**](https://www.linkedin.com/in/kanvaly-fadiga/), we are AI Engineers and ops specialists from McKinsey and Datadog. We’ve seen first-hand how fragmented tools drain margin and burn teams out when we launched our own car rental side business.\n\n### **🚀 Our Ask**\n\nWe’re onboarding logistics and mobility teams looking to unify their ops and grow faster. If you know anyone in fleet operations, transportation, trucking, or mobility in general — let’s talk.\n\n🌐 Website: [**https://www.flotthq.com**](https://www.flotthq.com)\n\n👉 Book a demo: [**https://cal.com/team/flott-hq/demo**](https://cal.com/team/flott-hq/demo)\n\n📬 Email us: [**founders@flotthq.com**](mailto:founders@flotthq.com)\\\nFollow us: [**Linkedin**](https://www.linkedin.com/company/flott-hq), [**X**](https://x.com/flott_hq)\n\n![uploaded image](/media/?type=post&id=90763&key=user_uploads/2092587/b1e79f7f-1f3a-42ba-9f73-9fbb07f7c6ba)\n\n",
        "url": "https://www.ycombinator.com/launches/Nbv-flott-hq-ai-native-operating-system-for-fleet-management",
        "votes": 40,
        "created_at": "2025-05-27T15:37:08.170Z"
      }
    ]
  },
  {
    "id": 30498,
    "name": "Alkali",
    "slug": "alkali",
    "former_names": [
      "Alkali",
      "Alkali Engineering"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/798007bb526034d4bd7924c8d0ab920635b5e47c.png",
    "website": "https://alkali.engineering",
    "all_locations": "Houston, TX, USA",
    "long_description": "Alkali is building the next generation of estimation tools for construction.",
    "one_liner": "The smarter way to estimate steel.",
    "team_size": 2,
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        "id": 90604,
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        "body": "**TL;DR:** Scaling a chemical process from lab-scale result to commercial plant can take years and hundreds of millions of dollars. Alkali’s Engineering Copilot (ProcessMate) uses AI to catch process design errors and automate equipment sourcing – keeping your projects on time and on budget.\n\n[Demo!](https://www.youtube.com/watch?v=JRsBGalf-7k)\n\n**The Problem:**\n\nAs chemical engineers, we’ve seen how design errors and procurement delays derail project schedules and budgets:\n\n* **Engineering Rework:** Projects often undergo 10+ design iterations due to incorrect equipment selection, overlooked safety requirements, or careless design errors.\n* **Procurement Delays:** Complex part sourcing, manual quote/response workflows, and relentless vendor follow-up (chasing confirmations, shipments, exceptions) can delay projects by months.\n\n![uploaded image](/media/?type=post&id=90604&key=user_uploads/2744343/38799444-2d92-431e-9e5c-807e9fe1bbbb)\n\n**Our Solution:**\n\n[Alkali Engineering](https://alkali.engineering/)’s ProcessMate platform streamlines error checking and procurement. Free engineers to do creative work, get projects built on time!\n\n1. **AI-Driven Design Checks** – Like an engineering spell-check for your schematics, AI identifies design errors before it’s too late.\n2. **Smart Equipment Selection** – Cross reference your engineering designs and vendor catalogues to help you get the right parts, faster.\n3. **Version Control & Chat Interface** – Interpretable version control for engineering schematics. Version control is no longer just for software engineers!\n\n![uploaded image](/media/?type=post&id=90604&key=user_uploads/2744343/c4d82b46-885d-4547-b33e-ede8406b033f)\n\n**The Team:**\n\n* [Emmett Goodman](https://www.linkedin.com/in/emmett-goodman/) (PhD, Stanford – ex-AWS GenAI Labs): Led delivery of GenAI solutions for AWS’s flagship customers, showcasing “art of the possible” solutions.\n* [Victor Miller](https://www.linkedin.com/in/victor-v-a514248b/) (PhD, Berkeley – ex-Shell Engineer): Led 8-figure chemical engineering infrastructure projects.\n\n**Our Ask:**\n\nWe’re looking to talk to:\n\n* Project managers fighting schedule overruns\n* Industrial vendors wanting faster RFP/RFQ cycles\n* EPC/Engineering firms interested in piloting AI-driven design validation and procurement\n\n👇 Know someone who fits? Email us at [founders@alkali-eng.com](mailto:founders@alkali-eng.com) !",
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        "full_name": "Chloe Samaha",
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        "founder_bio": "Building the world's best AI Chief of Staff. Occasional skydiver, tennis, and guitar player.\n\n ",
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        "url": "https://www.ycombinator.com/companies/bond/jobs/heVAbp8-gtm-customer-success-lead",
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        "id": 90815,
        "title": "BOND: AI Chief of Staff for CEOs and busy execs ⏳",
        "tagline": "Eliminate pointless meetings and save 10+ hours a week. ",
        "body": "Hey YC! 👋\n\n**TL;DR**\\\nBOND plugs into your tools (Slack, Jira, Notion, GitHub, Salesforce, etc.) to give CEOs real-time visibility on the metrics that matter and pings you when risks, blockers or wins appear. No more status-update meetings or scrambling for information. \\\n\\\n\\*\\*Save 10+ hours and thousands of dollars a week.\\*\\*\\\n[https://youtu.be/CWE6AkaOn9M?si=C77jXfWiYqcAWFAp](https://youtu.be/CWE6AkaOn9M?si=C77jXfWiYqcAWFAp%5C)\n\n⚠️ **The Problem**\n\n* **Data fog:** At 30 employees, you juggle 5+ tools that don’t talk to each other; by 100, it’s 20 tools…eventually, visibility vanishes as you scale.\n* **Hunting answers:** Every question spawns meetings, email chains, or Slack searches. 10 people pause work just to pull reports.\n* **Missed moments:** No real-time insight means lost chances to unblock projects or close deals…you’re stuck in reactive fire drills.\n\n\\\n**🛠️ Meet BOND: Your AI Chief of Staff**\n\n* **Ask Donna Anything**: A chatbot that has the answers to all of your questions. Your single source of truth across every tool in your stack.\n* **Presidential Brief**: Each morning BOND sends a one-page snapshot via Slack or email: what moved, who’s blocked, and your top 3 priorities. No more all-hands, just the intel you need to start your day.\n* **Live Dashboard**: Central view of KPIs, project statuses (with owners), and team capacity.\n* **Pattern Radar**: Automated alerts on stalled projects, team overload, churn spikes, and outliers.\n\n  ![uploaded image](/media/?type=post&id=90815&key=user_uploads/959902/c1e5b82f-7386-4575-9bfd-94a2a75ad052)\n\n\n**🌟 Why We Built It**\\\nAfter 2,000+ interviews with CEOs, CoSs and execs, one insight stood out: knowledge management is broken. \n\nWith LLMs and vector search, we finally have the tech to tear down the data silos, and KILL the data fog.\\\n\\\n\\*\\*We’re on a mission to collapse management layers and help companies ship 1000x faster.\\*\\*\\\n\\\n**🔐 Enterprise Ready**\\\nYour data is safe. SOC II and more provided by [Probo (YC X25)](https://www.ycombinator.com/companies/probo)\\\nBOND runs inside your infra, so your data never leaves your walls. **\\\n\\\n🏁 Start Today\\\nReady to get your sh\\*t together? We have limited pilot spots.\\\n✉️ Email: [founders@bondapp.io](mailto:founders@bondapp.io)\\\n💬** **Text:** +1 (415) 418-4017\\\n**\\\n👉** For more info: [**bondapp.io**](http://bondapp.io)\\\n\\\n**Your time is too valuable to waste.** \\\n_Stop talking about work—let BOND be your CoS so you can actually get things done._",
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        "votes": 195,
        "created_at": "2025-05-28T16:33:41.699Z"
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        "full_name": "Harsha Gaddipati",
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        "full_name": "Dhruv Roongta",
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        "id": 108791,
        "title": "Slashy - start saving 2 hours a day on email",
        "tagline": "Slashy drafts replies in your voice, schedules meetings, and handles follow ups, so you spend less time managing email, and more time on what matters",
        "body": "Hey everyone we’re Harsha and Dhruv from Slashy. Our goal is to define the next generation of email, by building an email platform that actually works for you, and learns over time. \\\n\\\n**TLDR:** Slashy is the next big email platform after Superhuman, the first with an assistant built in. Slashy can do everything from writing drafts in your tone, texting you when an important email comes in, prepping you for calls, to the things you expect from a true email client like keyboard shortcuts, open tracking, a mobile app and more. All while continuously learning about you and your preferences, so it only gets better over time. The average user takes 5 minutes to get set up and saves an extra hour a day. Read an independent review from Tom’s guide (1m+ subscribers) [here](https://www.tomsguide.com/ai/slashy-is-the-ai-email-app-replacing-notion-mail-heres-why).\n\nYou can get started for free at [slashy.com](http://slashy.com), and use our YC deal for a long-term discount.\n\n**Launch Video:** <https://youtu.be/o2TN-wwCYm8>\n\n## **Problem**\n\nMost founders we speak to, have one of two problems (sometimes both)\n\n1. They spend too much time manually handling email, and not enough building their company.\n2. They don’t spend enough time on email, and lose important deals/hires due to things slipping.\n\n## **Solution**\n\nThat’s why we built Slashy, the first email platform that reliably gets work done for you, whether it be drafting emails, notifying you when a prospect replies, schedule meetings, or more. Slashy works wherever you work best, so onboarding is seamless (just ask some of our users). It takes 10 minutes to set up, and saves the average email power user an extra one hour a day. It does this by:\n\n1. **Doing all the basic things right:** Stuff like keyboard shortcuts, open tracking, unified inbox, team comments, availability links, all come part of Slashy. So you don’t lose anything transitioning from Gmail, Superhuman, Front and more. ([@Jayme Hoffman](https://bookface.ycombinator.com/user/60463) actually switched to Slashy being surprised just that a new email client could match the speed, shortcuts of something like Superhuman)\n2. **Writing drafts that sound like you:** Claude drafts sound like slop because they just look at the thread. Slashy does a lot more, it looks at the linkedin/web of recipients, past emails you’ve sent, past changes you’ve made to prior drafts, and more including using our own custom-built memory system for email. (Fun fact we have a special tool for handling suggesting times/scheduling as base llms are very bad at this). ([@Michelle Marcelline](https://bookface.ycombinator.com/user/379052) pretty much just hits send on all her Slashy drafts with minimal edits)\n3. **A powerful sidebar:** Slashy comes with a cursor-like sidebar. That lets you do things like search, draft, schedule and more. So you no longer need to keep flipping between ChatGPT and your email. ([@Yahia Bakour](https://bookface.ycombinator.com/user/2538368) loves this to power thorugh drafts and replies)\n4. **Integrations:** Slashy connects to not just your email, but your meeting notes (Granola, Fathom, Circleback, etc.), crm (Attio, Hubspot, Salesforce, etc.), Notion and more since the context to handle email isn’t just in email. ([@Pavlos Markesinis](https://bookface.ycombinator.com/user/2511438) loves how Slashy connects to his Attio and makes life simple)\n5. **Automations:** The best assistants also know when to handle things in the background. So Slashy can also automatically do things like prep you for calls, text you when an important email comes in, and more. ([@Owen Botkin](https://bookface.ycombinator.com/user/2579867) relies on Slashy to prep him from calls, and [@Pranav Madhukar](https://bookface.ycombinator.com/user/1531197) doesn’t even check his email anymore unless Slashy alerts him an email comes in)\n6. **iMessage/Slack Bot:** One of the worst parts of traditional clients? You need to open them to see if something important comes in. Slashy can ping you on text/slack so you don’t even need to context switch. (@devansh is one of our bigger Slack fans, while [@Abhinav Gopal](https://bookface.ycombinator.com/user/979064) for iMessage).\n7. **Voice:** Sometimes it’s easier to speak your mind than write (or you’re driving and just can’t haha). So Slashy lets you dictate your thoughts, and our AI will make it sound like a much better version of you. Or you can talk with our voice to voice agent when you’re commuting (@vishruth is one of our power users for our voice drafts).\n8. **Personalized Memory:** Slashy gets better the more you use it. It keeps notes on how you write, who you talk to, when you schedule, and also it learns from every edit you made before hitting send. It even once a week goes back and rewrites its notes to better match you. After all you'd expect a human assistant to be smarter after a few months, why not your ai one. ([@Devraj Gopal](https://bookface.ycombinator.com/user/2057015) loves how Slashy has grown to know him more and more).\n9. **Natural Language Labels:** A common complaint we hear is the rise of the AI SDR, and how everyone’s inbox is inundated with emails. The problem with traditional labelling systems is they don’t adjust over time, leading to important emails getting missed. Slashy’s labelling system does, leading to a much better filtering rate, and fewer dropped balls. ([@Nazli Danis](https://bookface.ycombinator.com/user/520906) was drowning in spam before Slashy)\n\n## Security and Privacy\n\nWe take security/privacy as an email client very seriously.  We’ve already gotten CASA, and SOC II. We also get monthly pen-tests done by [@Casco](https://bookface.ycombinator.com/company/30477) to ensure our users' data is safe. None of our AI providers train on your data as well.\n\n## Getting Started\n\nNow if you want to get started just go to[ slashy.com](http://slashy.com), or you can book a time here if you’d like me to demo the product/ask any questions just shoot an email to [founders+ea@slashy.com](mailto:founders+ea@slashy.com), and Slashy will schedule a time that works for both of us :)",
        "url": "https://www.ycombinator.com/launches/SIh-slashy-start-saving-2-hours-a-day-on-email",
        "votes": 33,
        "created_at": "2026-08-03T03:07:19.686Z"
      },
      {
        "id": 92851,
        "title": "Slashy: The AI for Work",
        "tagline": "Slashy is the AI assistant that slashes through repetitive work",
        "body": "Slashy is the AI assistant that slashes through repetitive work: meeting prep for sales, automatic JIRA ticket creation, updating your CRM, and more.\n\nWe built Slashy after watching brilliant people waste hours every day on tasks that should be automated. They weren't trying to build another AI tool, they wanted to build the AI that makes all your other tools finally work together.\n\nSlashy gets users 10+ hours back every week to focus on the work that actually matters.\\\n\\\nBook a meeting: https://cal.com/slashy/30min or try it out at [slashy.ai](http://slashy.ai)\\\n\\\nhttps://youtu.be/F5ptH79YvNM",
        "url": "https://www.ycombinator.com/launches/O9b-slashy-the-ai-for-work",
        "votes": 27,
        "created_at": "2025-08-08T20:59:23.348Z"
      },
      {
        "id": 91949,
        "title": "Dash: AI That Actually Gets Work Done",
        "tagline": "Meet Dash: An AI agent that connects to your Gmail, Slack, Notion, and more to complete work autonomously.",
        "body": "**We built an AI agent that connects to your Gmail, Slack, Notion, and more to complete work autonomously.**\n\n# [usedash.ai](http://usedash.ai) | [founders@usedash.ai](mailto:founders@usedash.ai)\n\n## The Problem\n\nKnowledge workers spend 90% of their time on manual, repetitive tasks that could be automated. Current AI tools like ChatGPT operate in isolation; they can't update Notion databases, search across Slack, or send emails.\n\n## Our Solution\n\nDash is an AI agent that connects to your tools (Gmail, Slack, Notion, Linear, Google Docs, HubSpot, calendar, and more) to complete entire tasks.\n\nhttps://youtu.be/kFPAxXAUlq8\n\n## Real Examples from Beta Users\n\n**\"Weekly team update\"**\n\n* Reads Slack channels for key discussions\n* Checks Linear tickets for sprint progress\n* Pulls metrics from HubSpot and Notion\n* Compiles and emails formatted report\n\n**\"New enterprise lead follow-up\"**\n\n* Adds leads to Hubspot with enriched data\n* Creates qualification tasks in Linear\n* Schedules follow-up calls in calendar\n* Notifies team in Slack with context\n\n**\"Daily standup agenda\"**\n\n* Pulls yesterday's completed Linear tickets and today's planned work for team members\n* Generates standup summary in Notion\n\n## We're Looking For\n\n**Know someone who is tired of switching between tools instead of making a real impact?**\n\nWe're perfect for folks who are tired of context-switching between Notion, Slack, emails, docs and more.\n\nPerfect for:\n\n* **Founders** \n* **PMs** \n* **Operations folks**\n\n**Try it for free:** [usedash.ai](http://usedash.ai)\n\n![uploaded image](/media/?type=post&id=91949&key=user_uploads/2067448/a58c2bd9-c956-48b3-a2e3-632b5cfbc418)\n\n",
        "url": "https://www.ycombinator.com/launches/Nv3-dash-ai-that-actually-gets-work-done",
        "votes": 83,
        "created_at": "2025-07-08T06:16:45.784Z"
      }
    ]
  },
  {
    "id": 30694,
    "name": "Epicenter",
    "slug": "epicenter",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/15e87b5dae1ddc0ace7595505c49a86f51b6979a.png",
    "website": "https://epicenter.so",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Epicenter is an ecosystem of open-source, local-first apps that share a memory. We store all your work—notes, transcripts, chat histories—in a single folder of plain text and SQLite. Every tool we build shares this memory: your text editor, personal assistant, etc.. It's open, tweakable, and yours. Grep it, open it in Obsidian, host it wherever you like. The choice is yours.\r\n\r\nOur vision is to build a personal workspace where you own your data, choose your own AI models, and replace siloed apps with open, interoperable alternatives. All while preserving authenticity and being free and open source. ❤️",
    "one_liner": "ChatGPT's memory feature in an open, portable format",
    "team_size": 1,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1754070642,
    "tags": [
      "SaaS",
      "Productivity",
      "Open Source",
      "Note-taking",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "Consumer"
    ],
    "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/epicenter",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/epicenter.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
    "x_url": "https://x.com/EpicenterHQ",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/EpicenterHQ/",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/15e87b5dae1ddc0ace7595505c49a86f51b6979a.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1027274,
        "full_name": "Braden Wong",
        "title": "Founder",
        "founder_bio": "At 18, I taught myself to code while studying ethics, politics, and economics at Yale. Since then, I’ve averaged ~10k commits/year and worked at three YC startups. I wrote my 65-page senior thesis on open-source governance and digital platforms. I care deeply about data ownership, open-source, and interdisciplinary thinking.\n\nhttps://github.com/braden-w/\n\nI build tools to help automate the boring parts of my writing. Hopefully, something good comes from it!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/braden-wong/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4361c8f572e6fec96bcca807fe2078068a909ea9.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 92919,
        "title": "Whispering: Local-First, Open-Source Speech to Text at Your Fingertips",
        "tagline": "Own your data. Use any model you want. Free and open source.❤️",
        "body": "Hey everyone! 👋 It's Braden, and I'm excited to introduce Whispering—a fully open-source, local-first speech-to-text app, and the first app in the Epicenter ecosystem. You can [give it a star](http://go.epicenter.so/github), install it [here](https://go.epicenter.so/install/whispering), and start using it today.\n\nI use Whispering multiple hours daily for voice coding, writing, and thinking out loud. I churned from Wispr Flow and Superwhisper after I built it.\n\nI think the ergonomics are quite delightful, and I hope you will too!\n\n[Voice coding workflow](https://www.youtube.com/watch?v=tpix588SeiQ)\n\n## **The Problem**\n\nYou use a transcription app, but you have no idea what happens to your data.\n\nThey’re not open-source. They might call themselves “local” or say “inference stays on device”—but you still can’t see the code. It’s a black box, and for all you know, _you’re the product_.\n\nYour voice recordings might be sitting on their servers and sold to other providers. You're locked into their ecosystem. When they pivot, get acquired, or shut down, your workflow will break.\n\nMany “AI transcription” startups are just API or local inference wrappers with subscription pricing. You speak into their app, they send your audio to a transcription API like Whisper, then charge you monthly for what you could run yourself. Some run locally, but none I found were open-source with the UX I needed.\n\n## **The Solution**\n\nTruly free and open-source transcription software that matches (or surpasses) the ergonomics of paid, closed-software alternatives. I think Whispering is now at that stage.\n\n## **What makes us different:**\n\nThere are many other applications in the transcription landscape. Whispering offers some notable features:\n\n* **Hands-free, voice-activated dictation**: One of our most ergonomic features so far. Press once to start the session, and it will automatically start and stop as you speak. No button-holding or toggling nonsense. Perfect for dictating when your hands are full\n* **Custom AI transformations with any prompt, any model:** Design custom transformations that chain multiple AI models to fix grammar, translate, or refactor your transcribed text\n* **Unbeatable price:**  Nothing beats free. If you bring an API key from [Groq Cloud](https://console.groq.com/keys), you’ll get nearly instantaneous transcription at $0.04/hour plus a generous free tier. And of course, if you run locally with Speeches, it’s completely free. We hope to expand our models soon.\n* **Open-source**: MIT licensed. Fork it, examine it, roast it. We pride ourselves in our code quality.\n* **Everything is local-first**: In Whispering, everything is local-first. Recordings are stored in IndexedDB, and settings are stored in local storage. Built with Svelte 5 and Tauri, and it's tiny (\\~22MB) and fast.\n\n## **Real Daily Usage**\n\n* **Talking to Claude in my room** (3-4 hrs/day): I use dictation to prompt Claude Code significantly faster than typing. I have a custom post-processing transformation set up so that every text blob that I dictate is passed through a Gemini 2.5 Flash prompt, making the output more Claude-Code-friendly (bullet points, etc.). Once done, I paste into Claude Code.\n* **While carrying pizza boxes back from the Y Combinator office:** My hands are full, so I’ll open the web app on my phone, turn on voice activated dictation, and then start yapping as thoughts come up. The words are waiting when I get back in my room\n* **Other custom transformations**: I have a common writing workflow of speech → Transcribe (Groq) → Fix Grammar (Claude 4 Sonnet) → Format (Gemini 2.5 Flash).\n\n## **Why This Matters**\n\nFundamental tools shouldn’t require trusting a black box. And they shouldn’t charge you rent for something you could run yourself.\n\nWe believe productivity apps should be open-source and transparent with your data, and we want to destroy their business models with open-source alternatives.\n\nThese alternatives will need to match them feature-by-feature, have a great UX, and eventually, be built on top of our shared memory layer.\n\n## **Where This Is Going**\n\nWhispering is the first app in the Epicenter ecosystem: local-first, open-source tools built on top of a shared memory of plain text and SQLite. We hope to replace siloed, data-driven tools with local-first alternatives that share a single, user-owned memory layer.\n\nWe also hope to support many more offline models over time, giving you maximum flexibility in how and where your data is processed.\n\nWe’re not stopping at transcription. While most transcription apps tinker with static dictionaries or custom word lists, our eventual goal with Epicenter is to leverage that shared memory. We could connect transcription to everything you think, write, and build, all within a trustworthy, local-first environment.\n\nWhispering would pick up your common phrases, technical terms, and more. Over time, you create custom transformation pipelines that adapt to your writing style, your voice, and your world.\n\n## **Our Ask**\n\n* 🌟 [**Upvote on Product Hunt**](https://www.producthunt.com/products/whispering?launch=whispering). Help others discover open-source alternatives\n* 💻[ **Download the desktop app**](https://go.epicenter.so/install-whispering) from our [installation guide](https://go.epicenter.so/install/whispering), or directly from our latest [releases](https://github.com/epicenter-so/epicenter/releases)\n* ⭐ [**Star on GitHub**](https://github.com/epicenter-so/epicenter/tree/main/apps/whispering). Back local-first software. Fork it, break it, improve it. Everything’s MIT licensed. Copy whatever you want.\n* 💬 [**Join our Discord**](https://go.epicenter.so/discord). Shape what we build next\n\nTry it, and let us know what’s up. I hope Whispering becomes a part of your workflow!\n\n[Full Setup Guide](https://www.youtube.com/watch?v=1jYgBMrfVZs)",
        "url": "https://www.ycombinator.com/launches/OAh-whispering-local-first-open-source-speech-to-text-at-your-fingertips",
        "votes": 24,
        "created_at": "2025-08-12T00:53:13.916Z"
      },
      {
        "id": 92752,
        "title": "Epicenter: A Database for Your Mind, Built on Plain Text",
        "tagline": "A shared workspace for everything you think, write, and build.",
        "body": "**TL;DR:** if you're a hacker, a generalist, a cracked Svelte/Typescript developer, or a local-first/open-source/privacy enthusiast, join our [Discord and DM me](https://go.epicenter.so/discord). I would love to build with you.\n\nhttps://www.youtube.com/watch?v=nZNOH5yKxO0\n\nHey everyone! 👋 It’s[ Braden](https://www.linkedin.com/in/braden-wong/), and I’m building Epicenter.\n\nEpicenter is an open-source suite of tools built around a single idea:\n\n**Creativity thrives when you blur the lines between disciplines.**\n\nYour tools should reflect that. Most tools divide you—one for writing, one for planning, one for research. We’re building tools that talk to each other—so you can stay in flow across every kind of work. \n\nEpicenter will be a growing software ecosystem—a text editor, a CRM, a personal assistant, and more—all built around a shared local memory.\n\n**The problem**\n\nModern knowledge work is fragmented.\n\nI journal into an app I don’t trust. I plan my week in a calendar app I’ll abandon next month. My notes drift aimlessly in systems I’ve outgrown. And every time I switch apps, the app forgets what I was working on.\n\nNotes, code, and ideas live in isolated tools that don’t talk to each other, breaking flow and burying context.\n\n**The solution**\n\nA suite of open-source tools that share a single memory: a folder on your machine. Open-source, open-format, and fully yours.\n\nThe tools share so you can make connections across disciplines. Your ideas and data are never locked in.\n\n[**epicenter.sh**](http://epicenter.sh)\n\nI just launched [epicenter.sh](http://epicenter.sh): a local-first assistant you can chat with. It lives in a folder, and we want to make it the access point to everything you’ve ever written, thought, or built.\n\n[epicenter.sh](http://epicenter.sh) is the first addition to Epicenter. This is your new shell: your second brain becomes your dialogue partner. You type; it thinks. You ask; it searches. Under the hood, it’s powered by a modified version of [Opencode](https://github.com/sst/opencode), an excellent open-source coding agent. We’ve made our own CLI and UI to simplify configuration and the user experience. It’s rough around the edges, but it’s our first step in laying the foundation for our future applications.\n\n**Where We’re Headed**\n\nIn a world where every app wants to trap you and your data, we’re building the opposite.\n\nEpicenter is open-source, local-first, and plain-text native—so you can trust it, tweak it, or take it with you. We’re building tools that support intentional, interdisciplinary thinking: software for people who read, write, build, and connect.\n\nA renaissance workflow, built on plain text and real ownership.\n\n**Our Ask**\n\nWe’re early. But if you think like a generalist, build like a hacker, and value tools that respect your mind—we’d love to hear from you.\n\n**→ if you’re a cracked Svelte/Typescript developer, please[ DM me](https://go.epicenter.so/discord)**\n\n**→ star / fork / dive into the code on GitHub: [https://github.com/epicenter-md/epicenter/](https://github.com/epicenter-md/epicenter/)**\n\n**→ join the community on [Discord](https://go.epicenter.so/discord). share what you’re excited to build**\n\nSign up and tell us which tools you’d be most excited to use. Your input will shape what we build next.\n\n**About me:**\n\nAt 18, I taught myself to code while studying ethics, politics, and economics at Yale. Since then, I’ve averaged \\~10k commits/year and worked at three YC startups. I wrote my 65-page senior thesis on open-source governance and digital platforms. I care deeply about data ownership, open-source, and interdisciplinary thinking.\n\n![uploaded image](/media/?type=post&id=92752&key=user_uploads/1027274/a3ef7b07-ca73-4d27-bf0a-53e194f9f587)\n\n",
        "url": "https://www.ycombinator.com/launches/O80-epicenter-a-database-for-your-mind-built-on-plain-text",
        "votes": 33,
        "created_at": "2025-08-05T21:49:16.393Z"
      }
    ]
  },
  {
    "id": 30711,
    "name": "Char",
    "slug": "char",
    "former_names": [
      "Hyprnote"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aca02a57c5f38896120f1fe6767d1975b6a6b522.png",
    "website": "https://char.com",
    "all_locations": "Seoul, Seoul, South Korea; Remote",
    "long_description": "Char is a daily notepad that finishes your todos for you. Type a checkbox, and an agent picks it up — researching, drafting, or scheduling on your behalf. Stay in command. Char does the work.",
    "one_liner": "The AI notepad that knows and works for you",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1755302445,
    "tags": [
      "SaaS",
      "Productivity",
      "Open Source",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "South Korea",
      "East Asia",
      "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/char",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/char.json",
    "year_founded": 2023,
    "city": "Seoul",
    "country": "KR",
    "linkedin_url": "https://www.linkedin.com/company/charnotes",
    "x_url": "https://x.com/getcharnotes",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/fastrepl",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aca02a57c5f38896120f1fe6767d1975b6a6b522.png",
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    ],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1166442,
        "full_name": "John Jeong",
        "title": "Founder/CEO",
        "founder_bio": "designing interfaces for humans and agents",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/johntopia",
        "x_url": "https://x.com/computeless",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ea10a90642ece06e0d2532013e4753735870be0a.jpg"
      },
      {
        "user_id": 652833,
        "full_name": "Deokhaeng Lee",
        "title": "Founder",
        "founder_bio": "CS @ Duke \nFormerly founder @ Hyprnote (S25), engineering @ Carousel Technologies (W24) \n",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/dklee0127",
        "x_url": "https://x.com/duckduckhero",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/62062010b3f111a712747148585d18b807b525df.jpg"
      },
      {
        "user_id": 1374655,
        "full_name": "Yujong Lee",
        "title": "Founder",
        "founder_bio": "OSS enthusiast. Check out my work at: https://github.com/yujonglee",
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      {
        "id": 93180,
        "title": "Hyprnote⚡️ Open-source AI notetaker for enterprises",
        "tagline": "We help teams craft personalized meeting notes while keeping full control of their data",
        "body": "### **TL;DR**\n\n[**Hyprnote**](http://hyprnote.com/?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc) is an [open-source](https://github.com/fastrepl/hyprnote) **AI notetaker for enterprises**. It transcribes and summarizes meetings while keeping 100% of data on-device or on-prem — so companies stay in control.\n\n<https://www.youtube.com/watch?v=x4TRi2WOR5s>\n\n### **Why Existing AI Notetakers Fail**\n\nEvery other tool ships your conversations off to 3rd party clouds. Enterprises banned them because they violated data sovereignty.\n\n![uploaded image](/media/?type=post&id=93180&key=user_uploads/1166442/15cd071d-825d-49a9-a1fe-b078d3e2f2b5)\n\n### **How Hyprnote Flips the Script**\n\n[**Hyprnote**](http://hyprnote.com/?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc) runs entirely on your laptop, server, or air-gapped network:\n\n* **Private by default**: not a single byte leaves your system, ever.\n* **AI-powered notes**: clear, actionable summaries.\n* **Enterprise-ready**: HIPAA, SOC2, ITAR, FedRAMP-friendly.\n* [**Open source**](https://github.com/fastrepl/hyprnote): transparent and extensible.\n* **Flexible deployment**: run it where you want.\n\n![uploaded image](/media/?type=post&id=93180&key=user_uploads/1166442/e9e59bd3-9993-4029-b8ab-de8bde4a1ea1)\n\n### **Why We Built This**\n\nWe saw enterprise employees stuck taking manual notes because “AI notetakers” weren’t actually enterprise-ready. [**Hyprnote**](http://hyprnote.com/?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc) exists so teams can finally use AI without giving up control of their data.\n\n![uploaded image](/media/?type=post&id=93180&key=user_uploads/1166442/df8a57c6-74fb-4f4f-a455-0091527206b6)\n\n### **What You Can Do**\n\n1/ Introduce us to **_VPs or Directors_** driving **_digital transformation_** in regulated industries.\n\n2/ Start using it **_FREE FOREVER_** — and spread the word.\n\n3/ Star us on [**GitHub**](https://github.com/fastrepl/hyprnote)!\n\n![uploaded image](/media/?type=post&id=93180&key=user_uploads/1166442/2119f8f8-575f-4a5c-aa1c-295bfe57a15c)\n\n### **NEED an AI notetaker you can actually trust?**\n\n[**Try Hyprnote — where conversation stay yours**](http://hyprnote.com?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc)\n\n![uploaded image](/media/?type=post&id=93180&key=user_uploads/1166442/a2e52475-b1e0-47de-8e1b-ba56959bdae5)\n\n",
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    "long_description": "Omnara is an open-source, model-agnostic control plane for managed agents. One API to deploy, run, and control them. Self-host it, or use our managed cloud.\r\n",
    "one_liner": "The Open-Source Alternative to Claude Managed Agents",
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    "subindustry": "B2B -> Engineering, Product and Design",
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    "country": "US",
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        "full_name": "Ishaan Sehgal",
        "title": "Founder/CEO",
        "founder_bio": "Building omnara.com, the open-source alternative to claude managed agents! Omnara is an API that allows you to create and interact with AI agents easily. Previously I was an AI infra engineer at Microsoft, where I built and led Kaito (https://github.com/kaito-project/kaito/graphs/contributors). Before that, I worked on ML at Windsor (YC W19, acquired 2024) and interned at Roblox. I hold a BS/MCS in CS from UIUC.\n",
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        "linkedin_url": "https://www.linkedin.com/in/ishaan-sehgal/",
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        "full_name": "Kartik Sarangmath",
        "title": "Founder/CTO",
        "founder_bio": "Commanding my fleet of AI agents at omnara.com. \nPreviously at ThirdAI, optimizing neural networks for CPU deployment. Completed BS and MS in Computer Science at Georgia Tech focusing on computer vision research, publishing 3 papers and training large multimodal models at Meta AI.",
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      {
        "id": 112080,
        "title": "Omnara: The API for Production-Ready agents",
        "tagline": "Open-source alternative to claude managed agents",
        "body": "Omnara is an open-source platform for creating and interacting with production-ready agents via an API, without having to worry about the tedious parts of managing an agent control plane. It’s an open-source alternative to Claude Managed Agents, Langchain Managed Agents, Vercel Eve, etc.\n\n## **Problem:**\n\n---\n\nBuilding agents is hard. Many companies are building agent control planes, both for internal use and external use. The common pattern is you use some local agent framework, like claude agent sdk, mastra, langchain, or your own loop, host that on VMs/kubernetes/workers, expose an API with endpoints to interact with agents, handle machine failures, resumption of an agent, provisioning sandbox environments so those agents can code, configure endpoints to add skills and MCPs, have user message tracking, audit logs, and on and on.\n\nIt’s a lot of infrastructure work that has nothing to do with what the agent actually does. And most teams end up having to build and maintain their own versions of it.\n\nOmnara is that layer. It provides this infrastructure for you. So you can create and interact with your agents through a standard API without having to worry about building and maintaining your own control plane.\n\n![uploaded image](/media/?type=post&id=112080&key=user_uploads/1391601/7b5a0575-9a32-4af8-966f-9b6370e74edc)\n\n## **Bring your own computer:**\n\nRun this on any linux or macOS machine (windows coming soon): \\\n**curl -fsSL https://app.omnara.com/install/omnarad.sh | sh**\\\nIt connects the machine to the Omnara control plane. You can then give any agent access to this machine. This allows you to spin up an EC2 instance and have your agents use that as a persistent machine, or even run it on your macbook so that cloud agents can directly edit files locally when it’s online. You can also bring your own sandbox provider API keys (currently we support Blaxel, Daytona, and Unikraft).\n\n![uploaded image](/media/?type=post&id=112080&key=user_uploads/1391601/55bd57b2-62f9-414e-8acc-405797264d3a)\n\n## **Bring your own model:**\n\nOmnara allows you to bring your own LLM endpoint and API key (we support OpenAI Responses, OpenAI Completions, and Anthropic Messages formats, with more coming soon). You can use your hundreds of thousands of free LLM credits from YC in Omnara!\n\n![uploaded image](/media/?type=post&id=112080&key=user_uploads/1391601/12802420-8c49-4609-bd5c-9b7df94954f6)\n\n---\n\nBecause you can bring your own machine and models, you can use Omnara for completely free! Our architecture allows us to efficiently host hundreds of millions of agents on minimal hardware, so we can easily eat that cost.\n\nIf you prefer our hosted models (via openrouter) and hosted sandboxes (via blaxel), we're giving $1,000 in credits to the first 50 teams building on Omnara. Email us at [**contact@omnara.com**](mailto:contact@omnara.com) with what you're building and we’ll apply the credits to your organization.\n\nIf you want help self-hosting the control plane or running it in your VPC/on-prem, we’re taking on five design partners. Email [**ishaan@omnara.com**](mailto:ishaan@omnara.com).\n\nWebsite: [**omnara.com**](http://omnara.com) \\\nApp: [**app.omnara.com**](http://app.omnara.com) \\\nDocs: [**docs.omnara.com**](http://docs.omnara.com) \\\nSource: [**github.com/omnara-ai/omnara**](http://github.com/omnara-ai/omnara)",
        "url": "https://www.ycombinator.com/launches/T9k-omnara-the-api-for-production-ready-agents",
        "votes": 10,
        "created_at": "2026-08-24T18:26:24.991Z"
      },
      {
        "id": 97081,
        "title": "Omnara: Run Claude Code from Anywhere 🤖",
        "tagline": "Stay involved with your coding agents without being at your desk",
        "body": "We’re Ishaan and Kartik, and we’re building **Omnara**, a web and mobile interface for Claude Code that lets you keep coding agents moving even when you’re away from your desk.\n\n🎥 Demo:[ https://x.com/i/status/2014383431845839186](https://x.com/i/status/2014383431845839186)\n\n## **❌ The Problem**\n\nCoding agents can work independently for long stretches, but they still block on human input.\n\nIf an agent needs clarification while you’re away, everything pauses.\\\nIf your laptop sleeps, long-running work stops.\\\nMost remote agent tools run in hosted environments instead of where your code actually lives.\n\nAgents should fit around your schedule, not the other way around.\n\n## **🛠️ The Solution**\n\n**Omnara makes working with coding agents feel continuous instead of fragile.**\n\nYou can:\n\n* Start agents locally and stay involved from anywhere using web or mobile\n* Keep work moving even if your laptop goes offline\n* Talk to agents using voice when typing isn’t convenient\n\n## **🔒 Run agents in your environment, access them from anywhere**\n\nWith Omnara, your coding agent runs on your own machine, whether that’s your laptop or a remote VM you control.\n\nYou can access and interact with that agent from anywhere, securely, without SSH, port forwarding, or tunneling.\n\nYour agent runs in your real environment, but you’re not tied to the machine it’s running on.\n\n![uploaded image](/media/?type=post&id=97081&key=user_uploads/2661368/81388baf-658a-4c43-94ac-1ce4e17a1605)\n\n## **☁️ Keep agents running when your machine is off**\n\nAgents shouldn’t stop just because your laptop does.\n\nIf your machine goes offline, Omnara can keep the agent running in the cloud so work continues. You can still interact from web or mobile, and when you’re back at your desk, you can pick up where things left off.\n\n![uploaded image](/media/?type=post&id=97081&key=user_uploads/2661368/098a8bf1-046d-4362-86b2-63d984e999dd)\n\n## **🎙️ Talk to your coding agent**\n\nMobile typing works for quick replies, but it’s not great for longer back and forth.\n\nOmnara includes voice so you can talk to your coding agent when typing isn’t convenient. Speaking tends to provide more context and makes it easier to iterate, especially while walking or multitasking.\n\n![uploaded image](/media/?type=post&id=97081&key=user_uploads/2661368/829c73b5-6a60-41e8-a9c3-0fa98de80d39)\n\n## **💸 Pricing**\n\n* Free: up to 10 agent sessions per month\n* $20/month: unlimited sessions\n* When agents run in your environment, you can use your existing Claude Pro or Max subscription\n\n## **🙏 Our Ask**\n\nIf you use Claude Code or rely on long-running coding agents, we’d love your feedback.\n\n👉 Try it: [omnara.com](https://www.omnara.com/)\n\n[👉](https://www.omnara.com\\)%F0%9F%91%89) Install in one line:\\\ncurl -fsSL <https://omnara.com/install/install.sh> | bash\n\n👉 Reach us: [founders@omnara.com](mailto:founders@omnara.com)\n\n— Ishaan & Kartik\n\n![uploaded image](/media/?type=post&id=97081&key=user_uploads/2661368/6ef3e27b-3742-4e1a-9d77-1ec8a6c5bc41)\n\n",
        "url": "https://www.ycombinator.com/launches/PFp-omnara-run-claude-code-from-anywhere",
        "votes": 17,
        "created_at": "2026-01-23T20:07:51.104Z"
      },
      {
        "id": 93029,
        "title": "Omnara - The first command center for AI agents: terminal, web, and mobile",
        "tagline": "Run Claude Code from anywhere and switch seamlessly between devices",
        "body": "https://www.loom.com/share/03d30efcf8e44035af03cbfebf840c73\n\nStart Claude Code in the terminal, then pick it up instantly on web or mobile with a seamless handoff between all three\n\n### The Problem\n\nClaude Code is incredible, but it chains you to your desk.\\\nOnce an agent starts working, you’re stuck waiting in the terminal for it to ask you something. That could take 5–10 minutes, and if you’re away, progress halts. We’ve coded from our beds, on walks, in Ubers, while doing laundry… and yes, even on the toilet — but only after we built Omnara.\n\nExisting solutions don’t solve this well:\n\n* **Other Claude Code wrappers** (e.g., Crystal, Conductor) often replace the native experience but don’t let you jump between terminal, web, and mobile.\n* **Terminal replication tools** (e.g., Vibetunnel, Termius) let you SSH in, but have no push notifications, clean diffs, or simple setup.\n\n### What’s Omnara?\n\nOmnara is the **first agent command center** — start an AI agent in the terminal, then continue the same session from our web dashboard or mobile app.\n\nWith Omnara, you can:\n\n* Launch agents from terminal, web, or mobile.\n* Switch between them instantly.\n* Get **real-time push notifications** when agents need your input.\n* Review logs, see Git diffs, and approve/reject changes with one tap.\n\n![uploaded image](/media/?type=post&id=93029&key=user_uploads/1391601/bf61f9ae-4f37-4377-90c8-fc2bed1d0866)\n\n**How it works**\\\nWe built a CLI wrapper that mirrors the native Claude Code experience — output, permissions, notifications, and mode switching — by parsing the session file at _\\~/.claude/projects_ and terminal output in real time. All agent and user messages are streamed via SSE to the Omnara platform, where you can respond from anywhere.\n\nIt’s fully open source: [github.com/omnara-ai/omnara](https://github.com/omnara-ai/omnara)\n\n![uploaded image](/media/?type=post&id=93029&key=user_uploads/1391601/837e9af0-e038-4bb1-9f1c-1ebf152f8157)\n\n### Why launch with Claude Code first?\n\nOmnara works with any AI agent, but Claude Code users immediately “get” the value. It’s the perfect human-in-the-loop use case — and the one we use every day.\n\nWe’ve also used Omnara as a human-in-the-loop node in n8n workflows, e.g., for replying to emails. This is just the beginning.\n\n![uploaded image](/media/?type=post&id=93029&key=user_uploads/1391601/96e585a6-db46-4a20-8901-0ddbc7e409cf)\n\n### Pricing\n\nFree for up to 10 agent sessions/month.\\\n$9/month for unlimited.\n\n### About Us\n\nWe’re **Ishaan & Kartik**, childhood friends since Montessori. We’ve spent years working in AI and AI infra at big tech and acquired startups and love building tools that remove friction for developers.\n\n### Try it free\n\n`pip install omnara && omnara`Then log in at [omnara.com](http://omnara.com) or download our iOS app: [Omnara on the App Store](https://apps.apple.com/us/app/omnara-ai-command-center/id674...)",
        "url": "https://www.ycombinator.com/launches/OCT-omnara-the-first-command-center-for-ai-agents-terminal-web-and-mobile",
        "votes": 25,
        "created_at": "2025-08-15T06:52:33.641Z"
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    "name": "SigmanticAI",
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    "long_description": "SigmanticAI is building an AI-native hardware development assistant that automates the entire RTL design flow, from natural language to synthesizable HDL and testbenches, inside a seamless VSCode fork. Powered by fine-tuned Verilog LLMs, reinforcement learning, and real compiler feedback, SigmanticAI iteratively refines code until it compiles and passes synthesis, no matter how complex the design. It’s like the Cursor for HDL design. \r\n\r\nIn addition to code generation, SigmanticAI can generate token-level annotations and onboarding documents to accelerate ramp-up for new engineers. With support for both cloud and on-prem deployment, it integrates with existing EDA tools to dramatically reduce debug time, improve collaboration, and accelerate hardware design across teams",
    "one_liner": "The Cursor for Chip Design - Delivering Silicon-Ready Chip Designs…",
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    "country": "US",
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      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
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        "full_name": "Rohil Khare",
        "title": "Founder",
        "founder_bio": "I’m Rohil Khare, Co-Founder of SigmanticAI. I studied EECS at UC Berkeley and previously worked at Amazon. In high school, I filed provisional patents in IoT as an early innovator, and since then I’ve worked at multiple startups at the intersection of hardware and machine learning. At Berkeley, I conducted research at BAIR and the Architecture Group, and published at ICRA. Now, at SigmanticAI, I’m building AI-native tooling that accelerates the creation of custom chip designs and silicon.\n\n\n\n\n\n",
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        "full_name": "Tamzid Razzaque",
        "title": "Founder",
        "founder_bio": "I'm Tamzid Razzaque, Co-Founder of SigmanticAI. I studied EECS at UC Berkeley, with a focus on integrating AI applications with custom hardware design. I am continuing this passion at YC. I previously worked at Apple on custom circuits and researched at BWRC and BETR on custom FPGA accelerators.",
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        "title": "SigmanticAI - The Cursor for Hardware Design",
        "tagline": "Suite of AI Agents and Tools to Accelerate HDL (Hardware Description Language) Design",
        "body": "Hey YC! We're Tamzid and Rohil from [SigmanticAI](https://www.sigmanticai.com/).\n\n**The Problem with Creating Custom Hardware**\n\n* HDL tooling hasn’t changed much since the '90s: still slow, manual, and fragmented\n* Debugging eats up majority of hardware dev time\n* There's no seamless AI-native experience for building and reasoning about HDL\n\n---\n\n**Our Solution**\n\n_SigmanticAI_. What it can do:\n\n* **Natural language to synthesizable Verilog + testbenches**\n* **RL-driven debugging** loop\n* Built-in **onboarding**, codebase **annotation**, and **spec** documentation **generation**\n* LLM-powered on both **cloud** and **fully air-gapped/on-prem** deployments\n* **Seameless** integration with **VScode** + your **existing synthesis tools** from Cadence, Synopsys, etc.\n\nWe’ve already made a RISCV CPU start to finish with it, onboarded our first paying customer, and are getting 90%+ accuracy on the VerilogEval benchmark (NVIDIA framework)\n\n---\n\n**Demo video\\\n[https://youtu.be/Cq3hpMflIA8](https://youtu.be/Cq3hpMflIA8)**\n\n---\n\n**Asks!**\n\n* We want to talk to:\n  * Anyone **working** **with** **FPGAs, custom chips, ML accelerators, or RISC-V** cores\n  * Anyone **working in EDA** \n  * Anyone **working with fine tuned LLMs for hardware**\n* **Try us out! Thank you!**\n  * [https://www.sigmanticai.com](https://www.sigmanticai.com%EF%BF%BC%EF%BF%BC)\n\n**Who We Are**\n\nWe’ve spent years working on both LLMs and hardware. After working at Apple (Tamzid) and Amazon (Rohil) and research in FPGA mapping and LLaMA fine-tuning, we realized the real bottleneck in hardware design is tooling. We’ve built custom CPUs, worked with EDA stacks, and experienced the pain firsthand. Conversations with engineers at Northrop Grumman, SciEngines, and Quadric made it clear: hardware desperately needs a smarter workflow.\n\n![uploaded image](/media/?type=post&id=92212&key=user_uploads/2407642/74a5aa7d-62e0-47f9-9e95-9bc55e7c49f1)\n\n![uploaded image](/media/?type=post&id=92212&key=user_uploads/2407642/85c5143a-36c1-43aa-84ed-eebdfd014498)\n\n",
        "url": "https://www.ycombinator.com/launches/NzI-sigmanticai-the-cursor-for-hardware-design",
        "votes": 50,
        "created_at": "2025-07-16T19:05:10.461Z"
      }
    ]
  },
  {
    "id": 30774,
    "name": "CLODO",
    "slug": "clodo",
    "former_names": [
      "Disclodocs",
      "Clodo"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f11e383f1603855e0c14f84e4d86a8e59ed719ed.png",
    "website": "https://clodo.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Clodo is the planet's best people discovery. Used in GTM, Recruiting, Marketing, and Ops at AI Natives, B2Bs, and Fortune 500s in SaaS, Manufacturing/Industrials, BioTech, Healthcare, Fintech, Compliance, and more",
    "one_liner": "Planet-scale people discovery.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1754475903,
    "tags": [
      "B2B",
      "Recruiting",
      "Sales",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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      "Sales"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/clodo",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/clodo.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/clodoai/",
    "x_url": "https://x.com/ClodoAI",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f11e383f1603855e0c14f84e4d86a8e59ed719ed.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": 353032,
        "full_name": "Sid Rajaram",
        "title": "Founder",
        "founder_bio": "Co-Founder & CEO at Clodo\n\nShipped mission-critical AI systems for self-driving trucks, robotic tractors, and exascale training infra at Blue River Technology, John Deere, Amazon, and MinIO. Previously, built and scaled BunchOfAdvice.com to 100k users, the best forum for guidance + career planning for community college students. \n\nSkills and interests: linear algebra, gran turismo 7, ham radio",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sidharthrajaram",
        "x_url": "https://x.com/sixtensor",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/095ebeed331fdfb6abc054431367906fb00bcbdd.jpg"
      },
      {
        "user_id": 1629975,
        "full_name": "Rithvik Chuppala",
        "title": "Founder",
        "founder_bio": "Co-Founder at CLODO\n\nEx-Databricks, Google, Nvidia, Citadel. UC Berkeley EECS BS/MS",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rithvikchuppala/",
        "x_url": "https://x.com/vikchuppala",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/03ae8f8d147d7776a5c8fecaec89b7e82835019b.jpg"
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    "news": [],
    "launches": [
      {
        "id": 96826,
        "title": "Clodo - Vibe GTM",
        "tagline": "Execute outbound at the speed of thought.",
        "body": "# Find your next customers with just a prompt on Clodo. Try it now!\n\n<https://youtu.be/WUqOqtYAhSM>\n\nVibe GTM is here. From founders in the current batch to GTM teams at the fastest growing AI-era companies, users are setting Clodo loose to find: \n\n“data platform decision makers at companies spending more than $1M/year on data lake reads” \n\n“best targets who will be attending CES“\n\n“AI tool buyers at the top 40 industrial general contractors (ie. fabs/data centers)”\n\n“people who need our product NOW” \n\nTry it out right now at [clodo.ai](https://clodo.ai)\n\n![uploaded image](/media/?type=post&id=96826&key=user_uploads/353032/080add04-5ee1-4193-addd-2ce4f61a428f)\n\n### **HOW IT WORKS** \n\n**Just from a prompt, Clodo prospects and consolidates signals from everywhere**, be it hiring activity, blogs, social media activity, public records, and so much more **to derive the highest quality lead lists you’ll ever find anywhere.** \n\nProspects that fit your exact criteria. \n\nProspects that want to buy. \n\nContact enrichments included as well. \n\n![uploaded image](/media/?type=post&id=96826&key=user_uploads/353032/d3f94b5b-f7fa-4c53-956d-f953bb962823)\n\n### **TASTEFUL OUTBOUND ON AUTOPILOT**\n\n**Clodo not only finds you prospects who are willing to listen, Clodo figures out what exactly to say to them.** \n\nIt’s going to be a rough decade for templated sequences. Prospects can tell when they are on the receiving end of a “Hello {{first_name}}, Really impressed by your work as {{job}} at {{company}}”. \n\nInstead, Clodo automatically plans and executes tasteful, personalized outbound campaigns to each prospect all on your behalf. No em dashes, no AI slop prose, just normal sounding emails that lead to better conversion. \n\n![uploaded image](/media/?type=post&id=96826&key=user_uploads/353032/37caf209-238b-43f3-b04b-d19e283e3cf0)\n\n### **SELLING: A Resolution for 2026**\n\nIn 2026, STOP WASTING TIME sifting through the dozens of tools and websites to find qualified prospects who are actually in need of what you’re selling. And definitely DO NOT BURN CASH on templated “Hello {{first_name}}” sequences to the abyss. \n\nIn 2026, vibe GTM :) \n\nGot a super specific use case in mind or any questions/concerns? We’re at [founders@clodo.ai](mailto:founders@clodo.ai) \\\nHappy to chat more: <https://calendly.com/clodoai/clodo-ai>\n\n![uploaded image](/media/?type=post&id=96826&key=user_uploads/353032/f7c45b00-48e9-4701-8be6-8d90878a5611)\n\nHere’s to a great 2026. Happy selling!  ",
        "url": "https://www.ycombinator.com/launches/PBi-clodo-vibe-gtm",
        "votes": 14,
        "created_at": "2026-01-15T19:55:12.039Z"
      }
    ]
  },
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    "id": 30835,
    "name": "Brickanta",
    "slug": "brickanta",
    "former_names": [
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    "website": "https://www.brickanta.com",
    "all_locations": "Stockholm, Stockholm County, Sweden",
    "long_description": "Brickanta  – agentic AI for society builders. Hundreds of construction-specific AI agents for project analysis, insights, tenders, procurement, and more. Combine the latest AI technology with your organization's project data, templates, and workflows to identify risks and opportunities early and produce better decision support. Brickanta has raised $8 million from leading AI, construction, and real estate investors behind companies like OpenAI/ChatGPT, Airbnb, Klarna, Spotify, and Plangrid-Autodesk, as well as star investors such as Mario Götze, Anton Osika, and Northzone (see movie and press). The founding team has been building and implementing AI in construction and industry since 2018 at companies such as ABB, Fabege, Husqvarna, IKEA and Konecranes.\r\n",
    "one_liner": "Agentic AI for Society Builders",
    "team_size": 25,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1759093006,
    "tags": [
      "Machine Learning",
      "Construction",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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      "Infrastructure"
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    "regions": [
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      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/brickanta",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/brickanta.json",
    "year_founded": 2025,
    "city": "Stockholm",
    "country": "SE",
    "linkedin_url": "https://www.linkedin.com/company/brickanta/",
    "x_url": "https://x.com/brickanta",
    "fb_url": "https://www.facebook.com/people/Brickanta/61581151975393/",
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    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2f5fc73a5deec1c3a7c627cea71c8345b56ca431.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 654502,
        "full_name": "Lucas Otterling",
        "title": "Founder/CEO",
        "founder_bio": "Building Brickanta - agentic AI for society builders (construction and real estate). GTM-focused co-founder, ex-professional footballer and ex-indie app developer. International digital nomad with experience from living in Sweden, the US, the UK, Germany, South Africa, Italy. Vipassana Meditator :-)\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lucas-otterling/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/73da19e06e37ceaf7619b5c12857ac4c440cff35.jpg"
      },
      {
        "user_id": 2911315,
        "full_name": "Linus Bein Fahlander",
        "title": "Founder/CTO",
        "founder_bio": "Building Brickanta (F25) together with Lucas Otterling.\nWe are trying to give time back to one of the most critical roles in construction companies, the estimator.\nWe believe that builders shouldn't spend heaps of time searching through 1000s of documents - they should be building",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/linus-bf/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/141b6daae22ebd334ced9aa05a14199614305160.jpg"
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    "jobs": [
      {
        "id": 88845,
        "title": "Business Intern - Summer 2027",
        "url": "https://www.ycombinator.com/companies/brickanta/jobs/LFdioyl-business-intern-summer-2027",
        "location": "Stockholm, Stockholm County, SE",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$1K - $100K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 88846,
        "title": "Construction Engineer - Bygg / Entreprenadingenjör (Swedish) ",
        "url": "https://www.ycombinator.com/companies/brickanta/jobs/4o0G3W1-construction-engineer-bygg-entreprenadingenjor-swedish",
        "location": "Stockholm, Stockholm County, SE",
        "type": "Contract",
        "role": "Product",
        "role_type": null,
        "salary_range": "$1K - $100K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 88847,
        "title": "Software / AI Engineering",
        "url": "https://www.ycombinator.com/companies/brickanta/jobs/DKZym3b-software-ai-engineering",
        "location": "Stockholm, Stockholm County, SE",
        "type": "Contract",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$1K - $100K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 88848,
        "title": "Open Application - if you’re a builder, reach out",
        "url": "https://www.ycombinator.com/companies/brickanta/jobs/RPicnce-open-application-if-you-re-a-builder-reach-out",
        "location": "Stockholm, Stockholm County, SE",
        "type": "Contract",
        "role": "Product",
        "role_type": null,
        "salary_range": "$1K - $100K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 88849,
        "title": "GTM Engineer - build the bridge between product and revenue",
        "url": "https://www.ycombinator.com/companies/brickanta/jobs/i9EAeCM-gtm-engineer-build-the-bridge-between-product-and-revenue",
        "location": "Stockholm, Stockholm County, SE",
        "type": "Contract",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$1K - $100K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 108060,
        "title": "Business Developer ",
        "url": "https://www.ycombinator.com/companies/brickanta/jobs/Ug4Njo7-business-developer",
        "location": "Stockholm, Stockholm County, SE",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$1K - $100K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 108061,
        "title": "Construction Evaluation Engineer - Part-Time",
        "url": "https://www.ycombinator.com/companies/brickanta/jobs/KfaKQd2-construction-evaluation-engineer-part-time",
        "location": "Stockholm, Stockholm County, SE",
        "type": "Contract",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$1K - $100K / monthly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 108062,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/brickanta/jobs/2fZBSaD-forward-deployed-engineer",
        "location": "Stockholm, Stockholm County, SE",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$1K - $100K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 108063,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/brickanta/jobs/s9Efs6z-account-executive",
        "location": "Stockholm, Stockholm County, SE",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$1K - $100K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 108065,
        "title": "Developer Intern - Summer 2027",
        "url": "https://www.ycombinator.com/companies/brickanta/jobs/XmiJoZB-developer-intern-summer-2027",
        "location": "Stockholm, Stockholm County, SE",
        "type": "Contract",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$1K - $100K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 108188,
        "title": "Solution Engineer - Integrations Focus",
        "url": "https://www.ycombinator.com/companies/brickanta/jobs/9PcN4kH-solution-engineer-integrations-focus",
        "location": "Stockholm, Stockholm County, SE",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$1K - $100K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 110236,
        "title": "Brand Marketing Manager",
        "url": "https://www.ycombinator.com/companies/brickanta/jobs/8raDa8o-brand-marketing-manager",
        "location": "Stockholm, Stockholm County, SE",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$1K - $100K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 94176,
        "title": "Brickanta 🧱 the construction estimator's best friend 👷‍♂️🏗️",
        "tagline": "Cursor for construction estimation & project management",
        "body": "👋 We’re [Brickanta](https://brickanta.com/) (F25), building _cursor for construction estimation & project management._\n\n**TL;DR**: Our AI platform analyzes construction estimates and project details to automate admin work, reduce errors, and accelerate delivery. 👉 _We’d appreciate your social media hype support and any potential intros, as we look to make more connections in the construction and real estate industry._\n\n**Why this matters**\\\nConstruction projects run on mountains of paperwork, drawings, and codes. Miss one item, and budgets blow up — every year, it costs the small European country of Sweden over $11 billion (according to the government itself) and the global industry _hundreds of billions_ every year. Estimators and PMs are the heroes who keep projects on track, but today they’re buried in manual work.\n\n**How Brickanta helps**\\\nOur AI reads and organizes project docs, flags missing items & compliance risks, and supports cost analysis, tendering, and planning. It’s trained on standardized building protocols (starting with the Swedish versions of the Eurocodes, soon more countries) and integrates the systems that construction already runs on, like MS SharePoint, Outlook, and Teams — helping teams work faster, catch risks earlier, and protect margins.\n\n🎥 YC Launch Video:\n\nhttps://www.youtube.com/watch?v=za8Ya5GxMRE\n\n\\*\\*Excited to support?\\*\\*\\\n👷‍♂️🛠️👷‍♀️ We’re officially launching this week with exclusive media interviews, first public customer story, new brand + website, and more. Please check out and follow our newly created channels listed at the bottom to be part of the journey — and offer some hyping support :-)\\\n\\\n🏗️ We’d also love intros into construction and real estate companies - our MVP is currently focused on European markets (that share the fundamental [Eurocodes](https://eurocodes.jrc.ec.europa.eu/) framework)- where estimation and project management are critical.\\\n\\\n🧱🏗️  [**YouTube**](https://www.youtube.com/@Brickanta) │ [**LinkedIn**](https://www.linkedin.com/company/brickanta) │ [**X**](https://x.com/brickanta)  │ [**Facebook**](https://www.facebook.com/people/Brickanta/61581151975393/)  │ [**Instagram**](https://www.instagram.com/brickanta/?fbclid=IwY2xjawM7_n1leHRuA2FlbQIxMQBicmlkETBwMHVWZlByYk04ZW5iYnEyAR7vPpHY7lQF8Ow_5pNc9wsKP5V4us-fiDMJeepUZEwbeblZ39mJOYOA4lr1Eg_aem_5RLOiHcY_lmVUvys8OicmA) │ [**TikTok**](https://www.tiktok.com/@brickanta)\n\nYou can reach the founders on [founders@brickanta.com](mailto:founders@brickanta.com).\n\n🎥  Construction-audience-focused commercial launch video: https://www.youtube.com/watch?v=mwDEeXxtiQE",
        "url": "https://www.ycombinator.com/launches/OUy-brickanta-the-construction-estimator-s-best-friend",
        "votes": 17,
        "created_at": "2025-09-29T22:33:27.857Z"
      }
    ]
  },
  {
    "id": 30861,
    "name": "Caddy",
    "slug": "caddy",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a18ef62feeed4267cb16429f2de1d3e6abbb159.png",
    "website": "https://caddy.app/",
    "all_locations": "New York City, NY, USA",
    "long_description": "If you’ve got a lot to do, we believe AI can make things feel doable. Caddy is our core product: a Personal AI that helps you stay on top of everything going on. All you have to do is text. \r\n\r\nOn overwhelming days, it’s super simple to just drop any task in a text thread, and Caddy will help you handle it. Caddy also keeps an eye on your calendars, chats and tasks to make sure you stay focused on what matters. If something needs you, Caddy will nudge you, or can just do it if you don’t have time. \r\n\r\nThe best part is, no two Caddys are alike. The more you use Caddy, the more it learns your vibe, how you work, and what you care about. ",
    "one_liner": "Your Personal AI for everyday work. Lives in your texts.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1761153567,
    "tags": [
      "Automation",
      "AI",
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    "city": "New York City",
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        "user_id": 816824,
        "full_name": "Connor Waslo",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder of Caddy. Building the operating system that understands your workflows and gets work done for you. Previously led product for Loom's AI Suite and Monetization team.",
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        "user_id": 2945950,
        "full_name": "Rajiv Sancheti",
        "title": "Founder/COO",
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        "linkedin_url": "https://www.linkedin.com/in/rajivsancheti/",
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        "id": 95249,
        "title": "Caddy: The Voice Interface for Your Computer",
        "tagline": "Changing how people work across their computer and apps with voice",
        "body": "Hey everyone, we’re [Connor](https://www.linkedin.com/in/connor-waslo/) and [Rajiv](https://www.linkedin.com/in/rajivsancheti/).\n\nWe led Loom’s AI suite and saw firsthand how natural language was changing how people work. Now we’re building Caddy, the voice interface for your computer that lets you automate work across all your apps.\n\nJoin the waitlist at [trycaddy.ai](http://trycaddy.ai)\n\n**Launch video:** https://www.youtube.com/watch?v=v1HwM9mBYHU\n\n### **The problem**\n\nWork today happens across a maze of apps. Slack for messaging. Linear for tickets. Gmail for communication. Calendar for scheduling. Every task requires jumping between tabs and tools.\n\nEven with AI everywhere, we are still using the same old interfaces. Voice assistants like Siri or Alexa can answer trivia but cannot do real work. They do not understand what is on your screen, what app you are in, or what you mean when you say “follow up on this.”\n\nThe result is constant context switching, lost flow, and hours wasted on work that should happen automatically.\n\n### **What we are building**\n\nCaddy lives on your desktop and lets you operate your computer with your voice. It has two simple modes.\n\n**Action mode:** You speak your intent, and Caddy takes action.\n\nAsk Caddy to create a ticket in Linear, send a message in Slack, or schedule a meeting in Calendar. Caddy sees what is on your screen and connects it to your apps, so you can stay focused on the work that matters.\n\n**Dictation mode:** Never type again\n\nWrite emails, respond to messages, or leave comments anywhere text input exists. It is a direct replacement for typing that works globally across your computer.\n\nTogether, these two modes let you automate work and control your computer completely with your voice.\n\n![uploaded image](/media/?type=post&id=95249&key=user_uploads/2945950/d99dbe1c-8793-4405-a7ca-568f05c831fd)\n\n### **Who Caddy is for**\n\nWe are starting with founders, operators, productivity power users and the voice first generation who spend their days moving between tools and losing time to repetitive work. If that sounds like you, we would love to get you early access.\n\nTo join our waitlist add your email at [trycaddy.ai](http://trycaddy.ai) or shoot us a message [founders@trycaddy.ai](mailto:founders@trycaddy.ai)\n\n### **The team**\n\nBefore starting Caddy, [Connor](https://www.linkedin.com/in/connor-waslo/) and [Rajiv](https://www.linkedin.com/in/rajivsancheti/) spent four years at Loom where they led product and design for Loom’s AI suite and core product.",
        "url": "https://www.ycombinator.com/launches/OmH-caddy-the-voice-interface-for-your-computer",
        "votes": 149,
        "created_at": "2025-11-06T16:34:46.562Z"
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    "id": 30865,
    "name": "Lunavo",
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    "all_locations": "BY, Germany",
    "long_description": "We build AI that runs carrier operations.\r\n\r\nLunavo is the AI assistant for carriers. It plugs directly into their existing toolstack, understands their processes, and monitors all incoming data and requests. Lunavo runs end-to-end backoffice operations, handling repetitive tasks, resolving issues autonomously, and escalating only what matters.\r\n\r\nLunavo helps carriers scale operations without scaling headcount.",
    "one_liner": "Lunavo is the AI assistant for carriers.",
    "team_size": 2,
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    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1762148896,
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    "year_founded": 2025,
    "city": null,
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/lunavo-ai",
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      "name": "David Lieb",
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        "user_id": 2673176,
        "full_name": "Felix Lösch",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO of Lunavo | Building AI that runs carrier operations\n\nEx-McKinsey and former Managing Director at a Series A robotics logistics startup, where he scaled commercial and operations functions.",
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        "full_name": "Niclas Heun",
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        "founder_bio": "Co-Founder & CTO @ Lunavo | Building AI that runs carrier operations.\n\nHe studied CS at the Technical University of Munich and the University of Waterloo, graduating top of his class. He previously worked as an AI researcher on model robustness and led teams developing AI for shop-floor operations for Siemens.",
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        "title": "Lunavo - The AI assistant for trucking carrier operations",
        "tagline": "AI that runs your backoffice - so your team can run logistics.",
        "body": "Hi everyone, we’re Niclas and Felix, and we’re launching Lunavo!\n\n**TLDR:**\n\nLunavo is the AI assistant that automates the backoffice of trucking carriers so teams can focus on customers and growth.\n\n_Launch Video:_\n\nhttps://youtu.be/fKWHgdt8hv0 \n\n**The problem:**\n\nTrucking carriers coordinate complex operations to transport goods from A to B , but they spend most of their time on repetitive admin work like entering orders, updating portals, and checking systems. Most communication is still handled manually.\n\nThis creates two problems. First, teams waste hours on busywork instead of managing operations. Second, the noise makes it nearly impossible to spot issues that need attention until it's too late. A delayed pickup, missing document, or customer escalation only gets noticed when it's already urgent.\n\nThe real complexity isn't in data entry. It's in catching and resolving issues early: rerouting around delays, finding backup capacity, flagging exceptions before they cascade. Carriers need visibility and time to handle what matters, not endless manual updates.\n\nWe sat with dispatchers managing hundreds of shipments a day and saw their inbox and phone effectively act as their task managers.\n\n·   Many handle between 50 and 100 emails per hour, and most of them are repetitive.\n\n·   Teams constantly pull data from emails, PDFs, and portals into their Transport Management System (TMS).\n\n·   They often jump between ten or more tools that don't communicate properly with each other.\n\nCompanies end up paying skilled employees to move data between tools instead of running logistics\n\n**Our solution:**\n\nLunavo integrates into a carrier's existing systems as an AI teammate. When a new order arrives, it automatically extracts details, updates the TMS, and confirms with the customer. Dispatchers see: \"New order from Customer X confirmed and scheduled.\"\n\n**The system handles routine work while monitoring for exceptions** like delayed pickups, missing documents, or customer escalations, surfacing issues before they become urgent. It understands task dependencies and escalates only what needs human judgment.\n\nBecause logistics workflows often depend on implicit knowledge, our system can understand customer workflows and adapt to it. Our agents self-improve through dispatcher feedback, company documentation, and user-defined rules, automatically adapting to each customer's unique requirements without manual reconfiguration.\n\nLunavo manages to understand incoming documents, extract relevant information, challenges the inputs on plausibility and integrates them into the TMS. In case of anomalies, the system loops in the dispatcher:\n\n![uploaded image](/media/?type=post&id=95229&key=user_uploads/2331002/607a54fb-83cd-423d-8c36-312523817e4b)\n\n**_Before Lunavo_**_:_ A driver is delayed. The dispatcher has to (1) log into the GPS portal, (2) inform the customer with an update, (3) manually update the TMS, and (4) update the customer's portal for delivery time. This takes up to 15 minutes of work.\n\n**_With Lunavo:_** Lunavo detects the truck's GPS delay. It _automatically_ emails the customer, updates their portal, and sends a single notification to the dispatcher to keep him in the loop: \"Driver 5 is delayed 30m. Customer X has been notified. No action needed.\"\n\n![uploaded image](/media/?type=post&id=95229&key=user_uploads/2331002/bdb58f1b-2c10-4e29-b485-d64718f81c6f)\n\nLunavo helps trucking companies scale operations without scaling headcount.\n\n**About us:**\n\n![uploaded image](/media/?type=post&id=95229&key=user_uploads/2331002/531e2a61-c332-4ee9-ae0a-520a28e47341)\n\nWe're Felix and Niclas, founders of Lunavo. Together, we've spent the past years at the intersection of logistics and AI.\n\n·   **Felix** worked with logistics and supply chain companies at McKinsey and later built a robotics logistics company in Germany, spending five years deeply embedded in the industry.\n\n·   **Niclas** studied Computer Science at the Technical University of Munich and the University of Waterloo, focusing on AI security and applied machine learning\n\n**Our ask:**\n\nIf you work in logistics or know someone running operations in road transportation, we would love to connect.\n\nYou can reach us at felix.loesch@lunavo.ai or visit [www.lunavo.ai](http://www.lunavo.ai).",
        "url": "https://www.ycombinator.com/launches/Olx-lunavo-the-ai-assistant-for-trucking-carrier-operations",
        "votes": 23,
        "created_at": "2025-11-05T22:21:16.901Z"
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    "id": 30871,
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    "website": "https://apps.apple.com/app/apple-store/id6761323087?pt=128695024&ct=anish&mt=",
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    "long_description": "Bron is the Tiktok for sports betting. Scroll through recommended bets across 150+ sportsbooks and prediction markets and place them automatically.\r\n\r\nDownload Bron on the App Store here: https://apps.apple.com/us/app/bron-ai-sports-analysis/id6761323087",
    "one_liner": "TikTok for Sports Betting",
    "team_size": 2,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1761579619,
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    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/bron",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/bron-app",
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      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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        "full_name": "Anish Gupta",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Bron | Tiktok for Sports Betting",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anishjaygupta/",
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        "full_name": "Marc Zoghby",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder @ Bron\n\nPreviously: EECS @ UC Berkeley and AI Researcher @ Mayo Clinic.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/marc-zoghby/",
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        "id": 94935,
        "title": "PlayVision - AI Moneyball for Sports",
        "tagline": "Automatically analyze your film and make AI your playbook for scouting, recruiting, and playing the game",
        "body": "Hello everyone! We’re [Anish](https://x.com/_anishgupta_) and [Marc](https://x.com/marczog), the Co-Founders of PlayVision!\\\n\\\n**TL;DR:** PlayVision lets basketball teams automatically analyze their practices and games to get advanced stats on their players, opponents, and college or high school recruits. We use AI and computer vision to get insights based on their tracking data.\n\nhttps://youtu.be/MZynlUcUdeU\n\n\\\n**The Problem**:\n\n❌ Coaches spend over **75%** of their week watching film and manually tagging different stats.\n\n❌ College Teams spend **$250K+** on services like HUDL, Synergy, HDI, and other different products just to watch film and scout players.\n\n❌ There are up to **25x** more coaches between teams across Division 1 basketball — most programs lack the man-power to watch the same amount of film and create a comprehensive game-plan.\n\n❌ College athletes are now able to get paid via their Name, Image, and Likeness (NIL). Teams are scrambling trying to figure out how much players are worth.\\\n\\\n**Our Solution**:\n\n![uploaded image](/media/?type=post&id=94935&key=user_uploads/2540850/425a0c3f-1d4d-4e7d-a46e-241f9655aa11)\n\nAn interactive platform that lets coaches upload their film and get the insights they want. We track every player, every movement, every decision made on the court. \n\nWith our database, we also feature:\n\n🏀 Our algorithms that rank every player in the country over the last **10** years.\n\n🏀 Custom indexes where teams leverage over **40** metrics to create their own stats to rank players.\n\n🏀 Automated scouting reports that give coaches **10x** the insights on their players and opponents in **10%** of the time.\\\n\\\n**Our Story:**\n\n![uploaded image](/media/?type=post&id=94935&key=user_uploads/2540850/4ec6f501-bfc9-4758-81e5-910ce716dcc0)\n\n\\\nI, Anish, was a massive sports fan growing up. I couldn’t play college athletics due to an eye surgery, so I joined Cal Athletics as a scout. I saw first-hand how tedious the manual film analysis was, having to stay late in the office with coaches trying to finish the games we set out to do.\n\nThe timing couldn't have been better. Marc, fresh from two years of AI and computer vision research at the Mayo Clinic, happened to be in my AI in SportsTech class at Berkeley. I pitched him my problem, and within minutes, we were deep in discussion about how AI and computer vision could crack it.\n\nLeveraging my connections in the college space, we started getting validation from coaches, expressing the same pain points I had. We’ve partnered with teams from the SEC, BIG 10, and BIG EAST conferences, and you could be next!\n\n**Our Ask**:\n\n👉 Our product is now live for the 2025-2026 basketball season. If you know anyone that works for a college, NBA, or international basketball team that would be interested, please reach out via email: [team@withplayvision.ai](mailto:team@withplayvision.ai)!\n\n👉 If you’re interested in getting data on your favorite players, sign up for our player portal on our website: https://withplayvision.ai/ \\\n\\\nReach us:\n\n* https://www.linkedin.com/in/anishjaygupta/\n* https://www.linkedin.com/in/marc-zoghby/",
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    "name": "Logical",
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    "long_description": "Logical is a desktop AI that acts as a proactive and largely promptless copilot, designed to reduce the friction of using AI for everyday tasks. It transfers context across apps, and allows taking action on many apps with just a few clicks. Logical can assist with drafting emails, writing docs, noting meetings and can even automatically detect action items. Need to prompt? Logical can understand intent in much fewer words than a regular chatbot. Plus, user data is never sent to Logical servers. Logical is the AI resurrection of Clippy, but actually good.",
    "one_liner": "A proactive desktop copilot. Clippy, but actually good.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1761643617,
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/in/trylogical",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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      {
        "user_id": 2175254,
        "full_name": "Sam Karu",
        "title": "Founder/CEO",
        "founder_bio": "Sam is a co-founder and CEO of Logical. He was a PhD dropout from UCLA before joining NVIDIA. At UCLA, Sam conducted research on AI applications in wireless and cellular domains, across both discriminative and generative models. At NVIDIA, he worked on AI inference and model optimizations for specific hardware. Sam is the best performing Sri Lankan in the history of both the International Physics Olympiad and Asian Physics Olympiad. ",
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        "linkedin_url": "https://www.linkedin.com/in/samurdhilbk/",
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        "user_id": 2844384,
        "full_name": "Anushka Idamekorala",
        "title": "Founder/CTO",
        "founder_bio": "Anushka is a co-founder and CTO of Logical. After three years leading B2B SaaS engineering teams, he enrolled in the University of Virginia (UVA) where his research focused on context-aware time-series forecasting.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anushkaidamekorala/",
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      {
        "id": 95304,
        "title": "Logical: The Proactive Desktop Copilot",
        "tagline": "Logical makes every knowledge worker 5x productive",
        "body": "Hi everyone,\n\nWe’re [Sam](http://linkedin.com/in/samurdhilbk) and [Anushka](http://linkedin.com/in/anushkaidamekorala/), co-founders of [Logical](https://trylogical.ai).\n\n**TL;DR:**\n\n**Logical is a copilot that lives on your desktop and proactively assists with things like drafting emails, meeting insights and tracking to-do items.**\n\nInstead of waiting for you to prompt, Logical suggests context-aware actions in many common apps and services. It’s like Clippy, but actually good.\n\nhttps://youtu.be/XfyPZb14LZM?si=aaJMF37-ipwkJBDV\n\n### Problem\n\nPrompt-first AI is fundamentally flawed. We waste hours every week writing lengthy prompts, context-switching and copy-pasting to get a chatbot to understand what we're doing. The context surrounding our work (emails, meeting notes, knowledge bases etc.) lives in siloed services that don't talk to each other. A truly helpful AI must live where we work: on the desktop.\n\n### Solution\n\nLogical lives on your desktop, observing your work to build an understanding of your intent and the context that surrounds it. As you switch between apps and tabs, Logical transfers that context with you.\n\nIt proactively suggests actions based on what you're doing—whether you're in Gmail, Slack, or Excel. This turns Logical into an all-in-one assistant: it's your email drafter, to-do manager, AI note-taker, and chatbot, all combined.\n\n**📨 Email & Messaging Assistant:** Get quick drafts. Fine-tune, revert, and apply. Works with Gmail, Slack, iMessage and Apple Mail.\n\n![uploaded image](/media/?type=post&id=95304&key=user_uploads/2175254/ab0e8f09-c58c-45d7-8eef-0be23b97d326)\n\n**✅ Automatic To-Do Detection**: Detects and drafts deliverables. Plus, it reminds you to get those done.\n\n![uploaded image](/media/?type=post&id=95304&key=user_uploads/2175254/afe169f0-7103-4fe7-aec1-a17e72157c74)\n\n**🪄 Logical Lumos:** Get real-time assistance on any task. In Excel, it can suggest formulas and analyze errors; in a doc, it can explain terms as you highlight them. \n\n![uploaded image](/media/?type=post&id=95304&key=user_uploads/2175254/596d5046-364b-43b4-86c1-b63ea1b82b1a)\n\n**🔗 Connect your services:** Bridge Gmail or your Calendar for deeper context. Search your email with natural language, or get quick calendar availability lookups.\n\n![uploaded image](/media/?type=post&id=95304&key=user_uploads/2175254/2b2a7df8-ff33-41f7-8770-5878ab4070af)\n\n### Our story\n\nSam and Anushka have been friends since they met in grade school at 6 years old.\n\nBefore Logical, Sam worked on AI model optimizations at NVIDIA and previously dropped out of a PhD in applied AI. He's a medalist at both the IPhO and APhO and received a President’s Award for Scientific Research from the Government of Sri Lanka. Anushka dropped out of his PhD in context-aware predictive AI at UVA, and previously led B2B SaaS engineering teams.\n\nWorking in both academia and industry, we saw firsthand how most AI tools create friction and frustrate users. Our unique backgrounds – context-aware AI and AI model optimization – convinced us that an AI agent that lives on the desktop can identify user intent and provide proactive help, without compromising on speed or quality.\n\n### Our Ask\n\nIf you're reading this, Logical can help you (yes, you!) get more done. Try it out at [**https://trylogical.ai**](https://trylogical.ai) – we offer generous free credits. Help us with feedback on how Logical can better fit your workflow.\\\n\\\nIf you’re an enterprise, help your team miss fewer deadlines and spend less time context-switching. Plus, you can stop paying for 10 different AI add-on subscriptions – Logical can do it all. Contact us at [**hello@trylogical.ai**](mailto:hello@trylogical.ai) to learn more and book a demo.\n\n![uploaded image](/media/?type=post&id=95304&key=user_uploads/2175254/bd182517-615e-4efe-8de7-18985fd8fa32)\n\n",
        "url": "https://www.ycombinator.com/launches/OnA-logical-the-proactive-desktop-copilot",
        "votes": 161,
        "created_at": "2025-11-07T20:24:35.548Z"
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    "long_description": "Bravi helps manufacturers of windows, doors, and other home improvement products turn fragmented technical and commercial data into tools their teams can use instantly. \r\n\r\nOur AI platform helps sales, customer service, and field teams answer technical questions, configure complex products, generate quotes, and retrieve order information by connecting to existing documentation, catalogs, ERP, CRM, and pricing systems.\r\n\r\nBravi is already live with leading installers and manufacturers across Europe and the US, turning missed demand into revenue.",
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    "subindustry": "B2B",
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        "answer": "We (Anas and Pierre-Habté) met at UC Berkeley in 2017 and immediately started working together on tech projects. After co-founding Snipfeed, scaling it to 20+ people, and selling the company in 2024, we knew we wanted to build again together.\r\n\r\nThe idea for Bravi came from a very personal pain point: my family runs a shutter installation business in France, and I saw firsthand how many calls and leads were missed every day. On top of that, I launched a side business, Volet Dumont, selling shutters online, and experienced the same chaos with quoting and customer communication.\r\n\r\nWe realized installers were losing 30–40% of potential revenue just from slow follow-ups, missed calls, and disorganized workflows. With our background in automation and product scaling, we decided to tackle it head-on.\r\n\r\nThat’s how Bravi was born: combining our founder-market fit, validated by hundreds of conversations with installers, with the conviction that AI assistants could transform how home service companies capture and convert leads."
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    "url": "https://www.ycombinator.com/companies/bravi",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/bravi.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/braviapp",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "user_id": 231836,
        "full_name": "Anas Bouassami",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of Bravi (YC F25), the AI communication platform for home service companies. \nAlongside Bravi, he also runs Volet Dumont, an online rolling shutter business that serves as a live testing ground for Bravi’s technology and customer workflows.\nHe previously co-founded Snipfeed in 2017, where he scaled the company to 20+ employees before its acquisition in 2024. \nAnas holds a Master Degree from UC Berkeley and a Bachelor of Science in Mechanical Engineering from EPFL.",
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      {
        "user_id": 231673,
        "full_name": "Pierre-Habte Nouvellon",
        "title": "Founder",
        "founder_bio": "Co-founder and CPTO of Bravi. Previously co-founded and exited Snipfeed ($7M raised, 20+ employees). South American Math Olympiad #1. Trained as a space/aerospace engineer before moving into ML and AI product.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pierre-habte-nouvellon/",
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    "launches": [
      {
        "id": 94602,
        "title": "Bravi - AI voice and chat assistants for home service companies",
        "tagline": "The AI assistant that helps home service companies capture every lead",
        "body": "👋 We’re [Pierre-Habté](https://www.linkedin.com/in/pierre-habte-nouvellon/) & [Anas](https://www.linkedin.com/in/anas-bouassami/) from [Bravi (F25)](https://bravi.app/) and we are bulding AI voice and chat assistants for home service companies.\n\nyoutube.com/watch?v=Zl3jtIK_yco&feature=youtu.be\n\n**TL;DR:** Bravi builds **AI voice & chat assistants** for home service installers (shutters, solar, HVAC, carpentry) and manufacturers. We help them capture every lead, follow up instantly, and close more jobs.\n\n### **Problem**\n\n**Missed revenue**\n\nMost installers and manufacturers selling directly to consumers lose **30–40% of potential revenue** because they miss calls, don’t answer emails, and fail to respond to chats in time. Every unanswered lead is lost business.\n\n**Broken communication workflows**\n\nSales, admin, and field teams rely on **manual callbacks, scattered inboxes, and slow CRMs**, which makes it impossible to respond instantly or follow up consistently. That lag costs them real money.\n\n**Tools not made for them**\n\nGeneric chatbots and call centers don’t understand **home service workflows** — quotes, site visits, or product specs — leaving customers frustrated and companies unable to scale efficiently.\n\n### **Solution**\n\n![uploaded image](/media/?type=post&id=94602&key=user_uploads/231836/5c45980d-e8ee-4351-bb93-f7f115717a92)\n\nBravi fixes this with AI agents that:\n\n* **Answer calls & chats** 24/7\n* **Pre-qualify leads** (project type, urgency, location)\n* **Book** **callbacks** for the team\n* **Create tasks & reminders** for team members to ensure follow-through\n* **Generate** and **Send** **quotes** automatically\n\n### **Our Story**\n\nThis isn’t theory. We (Anas & Pierre) met at UC Berkeley in 2017. After co-founding and scaling our first startup to 20+ employees (acquired in 2024), we wanted to build again, this time in a space we knew personally.\n\n![uploaded image](/media/?type=post&id=94602&key=user_uploads/231836/4bd905c2-fa8c-4c65-91dc-f0891a474e13)\n\nAnas grew up in a **family shutter installation business** and later launched an **online shutter e-commerce store** (Volet Dumont). Both showed us the same pain: installers drowning in leads, but losing 30–40% of potential revenue.\n\nThat’s how **Bravi** was born.\n\n### **🙏 Our Ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Do you know **installers, manufacturers, or contractors** in home services (shutters, solar, HVAC, carpentry…) who struggle with missed calls or slow follow-ups?\n\n  👉 Invite them to test **Bravi** for free at [www.bravi.app](http://www.bravi.app)\n* Can you introduce us to **B2B2C manufacturers** selling directly to consumers who could benefit from AI assistants handling their inbound calls, chats, and emails 24/7?\n* Are you working with or know **digital agencies** or **industry partners** that build websites for installers and could integrate Bravi’s AI assistants into their clients’ sites?\n\n💬 We’d love to connect — every intro or feedback helps us make sure **no home service business ever loses a lead again**\n\n📩 Reach us anytime at [**anas@bravi.app**](mailto:anas@bravi.app)\n\n![uploaded image](/media/?type=post&id=94602&key=user_uploads/231836/0ee0d771-04a0-4722-b59f-761dfd5ecbcf)\n\n",
        "url": "https://www.ycombinator.com/launches/Obq-bravi-ai-voice-and-chat-assistants-for-home-service-companies",
        "votes": 40,
        "created_at": "2025-10-13T17:33:41.518Z"
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    "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,
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      "Finance",
      "Enterprise",
      "Billing",
      "AI Assistant"
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      "Europe"
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        "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 &amp; 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."
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    "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/",
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      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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    "founders": [
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        "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",
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        "linkedin_url": "https://www.linkedin.com/in/willfairbairn/",
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      {
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        "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/",
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      {
        "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",
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      },
      {
        "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",
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    "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"
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    "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 &gt;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"
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  },
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    "id": 30962,
    "name": "Denki",
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    "team_size": 4,
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        "full_name": "Felipe Jin Li",
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        "title": "✔️ Denki — AI for Auditors at Public Companies",
        "tagline": "Automate repetitive audit workflows to comply better with financial regulations.",
        "body": "### Strengthen your Internal Audit programs (from SOX to BSA/AML)\n\n**Denki Assurance Platform:**\n\n✔️ Works on existing systems (e.g. Auditboard, Workiva, ERPs)\n\n✔️ Automates Control processes (e.g. maps to COSO, runs walkthrough interviews, tests)\n\n✔️ Produces working papers (w/ full audit traces)\n\nRequest demo here: https://denki.ai/demo\n\n🙏 **Our ask:**\n\nIf you **know any internal auditor** or **CFO**\n\n➡️ Send an intro to [founders@denki.ai](https://mailto:founders@denki.ai) –– thank you!\n\n**The Problem**\n\nAudit is a massive cost centre ($290B+ annual spend), mandated by regulation (SOX, BSA/AML), facing talent shortages (75% of CPA will retire in the next decade) and a source of significant operational friction.\n\nIt runs the trust system of our economy, yet it’s truly outdated: sampling-based, point-in-time, manual.\\\n\\\n**The Solution**\\\n\\\n[Demo](https://youtu.be/-vFX_Cfcyxo)\n\n**The Team**\n\n**Felipe** worked at McKinsey and researched on Explainable AI during his PhD studies at UCL. He led product + mobile engineering at a GE-funded start-up.\n\n**David** built pipelines for unstructured financial data at MacroHive (research firm trusted by all top 5 hedge funds). He is a top 13 competitive programmer in the UK Informatics Olympiad, and studied Computing at Imperial.\n\n➡️ Request demo here: https://denki.ai/demo\n\n📩 **Questions?** Email us at: [founders@denki.ai](https://mailto:founders@denki.ai)\n\n🙏 **Our ask:** Make an intro for us with **an internal auditor** or **CFO** – thank you!",
        "url": "https://www.ycombinator.com/launches/OaU-denki-ai-for-auditors-at-public-companies",
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        "created_at": "2025-10-09T15:10:05.364Z"
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        "full_name": "Dmitry Fatkhi",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder @ Fastshot, ex AI/ML engineer @ Google, focus on multi-agent architecture and AI coding quality",
        "is_active": true,
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        "full_name": "Elvira Dzhuraeva",
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        "title": "Fastshot – Lovable for mobile apps",
        "tagline": "Build powerful mobile apps in minutes, just by chatting with AI.",
        "body": "**TL;DR;** Fastshot is an end-to-end mobile development platform that lets anyone build and ship beautiful mobile apps 10x faster and 100x cheaper — no code, just by prompting AI.\n\nhttps://youtu.be/diN3yEdoJbo\n\n### The Problem\n\nThe world runs on mobile. Yet over half of businesses still don’t have a mobile app.\n\nWhy? Because building one is still seen as a luxury — expensive, complex, and slow.\n\nToday, users have three options:\n\n1. Hire a Mobile Development Agency\\\n   Agencies handle everything: from design to app store launch.\\\n   But at a steep cost: $60K–$120K for an MVP, taking 3–6 months before the first users see it.\n2. Build an In-House Team\\\n   Hiring a developer costs about $130K/year, not including design, backend, and QA.\\\n   Expect similar timelines: 3–6 months to launch.\n3. Use traditional No-Code Builders (Adalo, Bubble, etc.)\\\n   These platforms promise simplicity - but fail to deliver real scalability, design quality, and functionality.\n\n### Introducing Fastshot\n\nFastshot is redefining how mobile apps are built.\n\nWith Fastshot, anyone, even non-technical teams, can design, build, and ship mobile apps just by chatting with AI.\n\n🙅No engineers.\\\n🙅No designers.\\\n🙅No project managers.\\\n🙅No 6-month timelines or 6-figure costs.\n\nEngineered by Google developers.\n\nYou can have your first MVP in customers’ hands the same day.\n\n### How It Works\n\nFastshot is an end-to-end mobile development platform that covers the entire lifecycle:\n\nIdeation → Design → Development → Deployment\n\nWe provide:\n\n* Beautiful out-of-the-box designs and templates\n* Built-in authentication, payments, and storage\n* Plug-in any AI providers to your app\n\nEverything your app needs: from concept to app store, powered by conversation.\n\nhttps://youtu.be/92yFPZuJPUY \n\n### Why Fastshot\n\nIsn’t \\_\\_ already doing this?\n\nYes – and no.\n\nFastshot isn’t just another no-code builder. We employ a multi-agent workflow that differentiates us from how simple vibe coding wrappers operate today, ensuring the best in class, high quality, modern design mobile apps.\n\nNo more brittle, half working mobile app scaffolds. Just working mobile apps in app stores. Our agents take care of everything that goes into mobile development processes end-to-end: from planning, to design, to implementation and shipment to stores.\n\nWe’re building the next generation of mobile app development platform, transforming how the industry will operate for the next decade.\\\nWith Fastshot, you can start building your app 10x more affordably and 10x faster than traditional methods.\n\n## We care about you\n\nWe win together. **Your success is our success.**\n\n**We want to make sure your app is lovable and goes viral.** Our goal is to build a long-term, meaningful partnership with every creator, founder, and business that chooses Fastshot. You grow - we grow with you.\n\nSo, if you’re ready to turn your idea into a real mobile app – **start using** [fastshot.ai](http://fastshot.ai?utm_source=yclaunch).\\\nShare your vision, and we’ll bring it to life.\n\n### About Us\n\nFastshot is built by experts with over a decade of experience creating AI developer tools and mobile apps, with backgrounds at companies like Google, Meraki, Cisco.\n\nDmitry: With 10+ years in AI and mobile development, spent years at Google building AI agents across Core ML and Google Cloud. Before that, as a Engineer, he kept seeing the same problem repeat: brilliant ideas slowed down by slow shipping. Fastshot is his solution to that — a way to turn ideas into apps instantly.\n\nElvira: With 10+ years in software engineering and product management, Elvira built and shipped GenAI developer tools at Google to millions of users. She’s also a developer advocate, speaker, and led the launch of the open-source Kubeflow 1.0 MLOps platform. Having witnessed firsthand how AI can unlock limitless potential, she’s now making that power accessible to everyone through Fastshot.\n\nTogether, they’re on a mission to empower anyone with an idea to bring it to life, instantly, with zero code.\n\n![uploaded image](/media/?type=post&id=95041&key=user_uploads/370260/b08873f3-e446-46f4-9d20-6ca7c3ab87dc)\n\n",
        "url": "https://www.ycombinator.com/launches/Oiv-fastshot-lovable-for-mobile-apps",
        "votes": 137,
        "created_at": "2025-10-30T20:19:02.131Z"
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    "id": 31018,
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    "website": "https://item.app",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "item connects to all your customer tools, gathers and enriches context automatically, and becomes your company’s source of truth — one place where your team and your AI agents share the full picture to act autonomously.\r\n\r\nAt the center is the Assistant — your sidekick for daily work. It can send follow-ups, research leads, or add deals with a simple prompt. No complex UI, drop-downs or fields, simply ask.\r\n\r\nFor repeatable work, you build Agents that you can train like new hires, simply by writing documents that describe your processes. item Agents run business processes across sales, support, and account management autonomously.",
    "one_liner": "The AI-Native CRM that works for you",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/99138518",
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        "full_name": "Andres Santanilla",
        "title": "Founder/CEO",
        "founder_bio": "Building what comes after the CRM - 2nd time founder ",
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        "full_name": "Akshay Guthal",
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        "is_active": true,
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        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/item/jobs/xD9P6r7-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "0.50% - 0.99%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
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      {
        "id": 95143,
        "title": "item: The AI-Native CRM that works for you",
        "tagline": "The CRM that knows your business and works like your best employee",
        "body": "**Hey there 👋 we’re Akshay and Andrés, and we’re building _item._**\n\nLaunch video: https://youtu.be/x8Z5QZNjdWw\n\n\\\n**In a nutshell:**\n\n_item_ is the first agentic CRM, a system that does the work. A system that understands your business the way your best employee does, and works for you 24/7.\n\nIf you’re building the future and still running on a 10-year-old CRM, let us show you what it feels like to run autonomously → [item.app](http://item.app)\n\n**Meet Item**\n\n_item_ connects to all your customer tools, gathers and enriches context automatically, and becomes your company’s **source of truth** — one place where your team and your AI agents share the full picture to act autonomously.\n\nAt the center is the _Assistant_ — your sidekick for daily work. It can send follow-ups, research leads, or add deals with a simple prompt. No complex UI, drop-downs or fields, simply ask.\n\nFor repeatable work, you build _Agents_ that you can train like new hires, simply by writing documents that describe your processes. item Agents run business processes across sales, support, and account management autonomously.\n\n\\\n**The Status Quo**\n\nAI has changed nearly every part of work. Yet the system at the center, the CRM, hasn’t evolved. It’s manual, data incomplete, and still takes trained experts to setup and automate.\n\nWe believe a CRM should know everything about your company and be able to do human-level work on your behalf, just like your best employee would.\n\n\\\n**How it works:**\n\nAfter a meeting, item helps you send a follow-up based on the notes in that meeting and your history with that customer:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/38c59fd9-dc45-4ba6-a7db-69685a694356)\n\nitem searches the web to find information about any company or contact, allowing you to add deals with rich information without needing to enter fields yourself:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/f34649f4-38aa-4731-9b80-d49b6d2edf0d)\n\nYou can build agents in item to automate any recurring human-level process by writing a simple, Notion-style document:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/e61f581a-f4fa-402a-b16d-5955befb0a6e)\n\nitem gives you clean, context-rich contact and company profiles with table views and Kanban boards:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/2607b996-e8bc-47b4-b861-0ce9c75293cf)\n\n\\\n**How companies use item Agents today to run autonomously:**\n\n* Outbound Sales: finding and contacting qualified leads on email and LinkedIn\n* Inbound Management: qualifying and responding to leads that sign up to a waitlist or a self-serve product\n* Growing Existing Accounts: tracking customer data and automatically sending personalized upsell sequences based on usage\n* Keeping Pipeline Warm: setting up item to auto-update deals from emails and meetings\n\n\\\n**The team**\n\nWe met at AngelList, building tools to help founders start and grow companies.\n\n_item_ comes from that same spirit — built with care, designed with intention, and shaped by a decade spent building systems of record at places like SAP, IBM, and Follow-Up Boss.\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/0a95c55d-4aeb-4fe0-9888-709855648103)\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/9e59aeeb-1ac0-4bc3-9d10-ce6f463974de)\n\n",
        "url": "https://www.ycombinator.com/launches/OkZ-item-the-ai-native-crm-that-works-for-you",
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        "created_at": "2025-11-03T23:52:58.025Z"
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    "all_locations": "Seattle, WA, USA",
    "long_description": "We automate the entire end-to-end prior-authorization process for private practices for cheaper, and more accurately than they're doing today.",
    "one_liner": "AI automated prior-auths for private medical practices",
    "team_size": 1,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare Services",
    "launched_at": 1772521820,
    "tags": [
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      "Healthcare",
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      "AI Assistant"
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    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "year_founded": 2025,
    "city": "Seattle",
    "country": "US",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 921970,
        "full_name": "Nami Lindquist",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO of ClaimGlide. Penn M&T undergrad from Bellevue, WA. ClaimGlide increases revenue for private medical practices by increasing their prior-auth acceptance rate and speed to auth. ",
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        "id": 100936,
        "title": "Imperfect – Training that Adapts to Real Life",
        "tagline": "Imperfect pulls your data to create a personalized AI coach for your next race 🏃‍♂️🚴‍♂️🏊‍♂️",
        "body": "Imperfect pulls your data to create a personalized AI coach for your next race. It adapts your training, recovery, and nutrition each day to how your body is actually responding.\n\nImperfect's AI coach is helping users train for their first triathlon, prep for a downhill mountain bike race, and (for one professional ultramarathoner) recover after placing 2nd in a 50-mile trail race in Puerto Vallarta.\n\n→ [Download Imperfect](https://go.imperfect.co/yc) to improve your training.\n\n[_Imperfect (YC P26): Training that Adapts to Real Life_](https://youtu.be/xVmMhqS0eZg?si=YEs6nieLNYDwXPVo)\n\n### **For the imperfect ones**\n\nIf another health tool tells me to reduce my stress level, I swear I'll throw it out the window. I'm not going to be \"Fully Optimized\" or want \"Maximum Suffering!!!\". I'm a 41-year-old founder/ultramarathoner with scoliosis. I need something that'll adapt to prioritizing a launch, working late, or prepping for Demo Day.\n\nWhen Imperfect recommends 30g of protein after my hill repeats, I can have it switch the units to tacos. I measure carbs in basmati rice, not in grams. (Persian-American, 7 years in Mexico City before moving back to SF. Cultural references get mixed.)\n\n### **How can you have your training, diet, and hydration adapt to your life?**\n\n**Try it.** [**Download Imperfect**](https://go.imperfect.co/yc) and email us at [yclaunch@imperfect.co](mailto:yclaunch@imperfect.co) with your feedback.\n\n![uploaded image](/media/?type=post&id=100936&key=user_uploads/838/661a7391-2646-4f14-b3c8-818d251f392e)\n\n",
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        "title": "Korso Shepherd: Tooling for all your agents to collaborate",
        "tagline": "So you never have to worry about conflicts again!",
        "body": "**TL;DR:** Tired of merge conflicts or agents rewriting each other’s code? Shepherd is an open-source tool that allows all of your agents, across sessions and team members, to communicate and collaborate while they work.\n\nThis was a problem that our team encountered while developing our previous product, so we built an internal tool to solve it.\n\nWe've been using Shepherd internally for a while now. It was initially more of an experiment to see how well agents could collaborate, but as we've iterated on it, it's become genuinely useful. Not only does it save us the time and effort of fixing rewrites/conflicts, but we've actually been seeing cleaner and more robust code from our agents, simply because they're able to see what their fellow agents are working on and communicate to write code that works together.\n\nShepherd is a simple MCP that you install once and your agents use forever with zero human input. We provide a dashboard where you can see what you and all of your team members' agents have being doing, in addition to a chat where you and your agents can send announcements, either directly or to everyone.\n\nYou can sign up at <https://korsoai.com/shepherd> and it'll guide you through the process. The repo is also open-source at <https://github.com/Korso-AI/Shepherd>, and you can read more about Shepherd at korsoai.com/docs. Try it on our platform or even host it yourself.\n\n**Free** for all YC companies - we're currently in open beta, so we'd love for you to give it a try and share any feedback you have!\\\n\\\nShepherd in action:\n\n![uploaded image](/media/?type=post&id=105011&key=user_uploads/2729430/a8674cb3-9106-455c-ba95-43da06d29ba0)\n\n![uploaded image](/media/?type=post&id=105011&key=user_uploads/2729430/bb1ac2f5-2bf1-4448-8aab-f0eac1e5f182)\n\n",
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        "id": 101233,
        "title": "Korso - AI Agents for Manufacturing",
        "tagline": "Automate any workflow and gain insights across your ERP, CRM, MES, Inbox, and more.",
        "body": "**TL;DR:** Manufacturers are buried in coordination work that is well-defined but still manual. Korso lets them describe those workflows in plain English and deploy autonomous agents that run across their existing systems.\n\n## <https://www.youtube.com/watch?v=yOKcdERZe9w>\n\n## The Problem\n\nOps, procurement, and customer-service teams at manufacturers spend the majority of their week on coordination that is clearly defined but never automated:\n\n* Chasing suppliers for ETAs\n* Processing incoming RFQs\n* Routing PO approvals\n* Monitoring order exceptions\n* Following up on stale opportunities\n\nEvery person on one of these teams could write down the exact steps for the task, and yet nobody has built the thing that runs those steps reliably at scale.\n\nThe tooling around this problem is stuck in a half-finished state:\n\n* ERP-native AI answers questions about ERP data; it doesn’t execute the multi-step workflows that sit between the data and the work getting done.\n* Middleware and iPaaS connect systems but don’t make decisions.\n* Systems integrators custom-code workflows that take quarters to ship and break when a process changes.\n* BPO adds variable cost and leaves the underlying coordination fragmented.\n\nWhen a manufacturer adds a product line, a new region, or a new supplier tier, the coordination load scales linearly, and so does the headcount requirement.\n\n## What We Built\n\nAtlas generates autonomous coordination agents on top of the ERP systems manufacturers already run: SAP, NetSuite, Oracle, Dynamics 365, Odoo, and more.\n\nA workflow that today takes a quarter to custom-code or an ongoing BPO contract to staff is, on Atlas, described in plain English and stood up as a running agent in hours.\n\n## Workflows We’ve Deployed\n\n### Procurement & Supplier Coordination\n\nChases supplier responses, confirms ETAs, routes PO approvals, and escalates exceptions before they become missed deliveries.\n\n### RFQ to Quote\n\nParses incoming RFQs from email or portal, prices against history and current cost, drafts and routes quotes for approval, and tracks through to response.\n\n### Order & Exception Handling\n\nMonitors order status across ERP and transport systems, surfaces exceptions before they escalate, and maintains a complete audit trail.\n\n### Natural Language to Workflow\n\nTurn any manual process into automation simply by prompting an agent.\\\n\\\n**Our Ask:**\n\nIf you know any manufacturer with a coordination-heavy ops or procurement team, we’d love to talk! Feel free to book a demo at [korsoai.com](https://korsoai.com) or reach out to [support@korsoai.com](https://mailto:support@korsoai.com)",
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    "long_description": "Companies today are growing faster than ever with smaller teams. The best AI-native companies don’t just need more users - they need more of their users becoming power users. Userlens makes it possible for lean teams to drive product adoption proactively, at scale.\r\n\r\nUserlens is building the AI product adoption expert. Our goal is to help every user at every company get more value from the product they already use.\r\n\r\nMost teams still rely on onboarding flows, lifecycle emails, support docs, and reactive CSM outreach. Userlens breaks that ceiling. Lumi watches how users actually use your product, spots when they’re ready for the next feature, workflow, or habit, and nudges them at exactly the right moment.",
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        "id": 99501,
        "title": "Userlens - AI CSM that never misses churn",
        "tagline": "Userlens gives you 100x CSMs",
        "body": "Hey folks 👋\n\nWe’re [Ankur Dahama](https://www.linkedin.com/in/ankurdahama/) and [Hai Ta](https://www.linkedin.com/in/anhaita) - co-founders of [Userlens](https://userlens.io/).\n\n<https://youtu.be/0wsD-3wxkZc>\n\n# TL;DR\n\nUserlens is an AI CSM that monitors every account like your best CSM monitors your top 5. It catches churn months before renewal, builds QBR decks on your playbook, and tells your team exactly what to say.\n\n# Our story\n\nAt our last startup (Wudpecker), we had 25K users, 1,000+ customers, and zero idea who was about to churn. We flew blind. Accounts died quietly, and we only found out at renewal. So we built the tool we wished we had.\n\n# Userlens - Your 100x CSM that prevents churn\n\nUserlens watches every account the way your best CSM watches your top five.\n\nIs a renewal coming up at one of your accounts? Userlens already knows 5 users stopped using your new AI feature last month, the champion changed roles, and there's a frustration thread buried in Slack your team never saw.\n\nBefore your CSM opens the account, the talking points and QBR deck are ready — built on your team's templates and playbook.\n\nIt does this across your entire book of business. Every account gets the attention that your best CSM gives your top 5.\n\n# Why our customers love us:\n\n* **Quartr (10M ARR):** went from **40 accounts per CSM to 200** — with the same team, all while growing from **1M to 10M ARR in a year**. Their NRR has increased by **18% in 3 months** with us.\n* **Smartly (200M ARR):** their performance of CSMs in customer meetings and QBRs has gone absolutely vertical. We’ve predicted (and prevented) **23 6-figure deals** in churn risk already in a month!\n\nConnects to your **Product analytics** (Posthog, Amplitude, Mixpanel, Segment), **CRM** (HubSpot, Salesforce, Attio), **Billing** (Stripe), and Support tools (Intercom, Pylon).\n\n**Setup takes a day**. And we do up to 3 months of historic data import during pilots.\n\nWe lost accounts at our last startup because nobody told us what was happening until it was too late. Userlens makes sure that never happens to you.\n\n**For YC companies — free for 3 months.** We'll get you set up in a day.\n\nBook demo: <https://cal.com/hai-ta-lil5ul/30min-with-hai-cofounder-ycbfl>\n\n**Know CS leaders at a B2B SaaS company?** We'd love a warm intro.",
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        "full_name": "Justin So",
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        "founder_bio": "Founder & CEO at Sidekick (YC S26). Studied computer science at Penn. Previously Finance at Arm.",
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        "title": "Sidekick: AI agent that handles frontline operations over text",
        "tagline": "Sidekick gives frontline workers an AI assistant they can text, with no app, login, or training.",
        "body": "**Hey everyone 👋**\n\nI'm Justin, founder of Sidekick.\n\n**TL;DR** Sidekick is an AI assistant that frontline manufacturing workers use over text message. They text a number and it answers from the company's own documents, creates and routes work orders, and syncs with the software the company already uses. No app, no login, no training. I built Sidekick for my dad's manufacturing shop. It’s now live at facilities across the globe.\n\n**_Ask:_** Do you know anyone who owns or runs a manufacturing plant, warehouse, or industrial facility? I'd love an intro! Email [**justin@textsidekick.com**](mailto:justin@textsidekick.com) or [**book a demo**](https://calendly.com/justin-textsidekick).\n\nCheck out our launch video:\n\n<https://www.youtube.com/watch?v=yxwq5ZAojXg>\n\n## ❌ The Problem\n\nI grew up in my dad's manufacturing plants and spent summers working on the factory floor at EDS Manufacturing.\n\nHere's what I watched happen repeatedly. A machine goes down, everyone's waiting, and the person who can help is in a meeting or on another line. Half the time the answer already existed. Nobody could get to it.\n\nWhy it keeps happening:\n\n* **No computer access.** Nobody on that floor has a company login or an email address, so none of the plant's software reaches them.\n* **The answers are scattered.** An SOP in a binder, a manual on a shared drive few have permissions to, a safety procedure someone printed and taped to a wall in 2019.\n* **The best answers were never written down.** Thirty years of tribal knowledge lives in one guy's head, and when he retires it leaves with him.\n* **So the same questions get asked over and over.** Shift after shift, and every one of them costs somebody their afternoon.\n\nThere are 239,000 manufacturing plants in the US, and only 29% of the people working in them have advanced digital skills. Any tool that requires a download, a login, and training makes adoption difficult.\n\n## ✅ Our Solution\n\nWorkers text the Sidekick phone number. Problems, photos, voice memos, in any language. No app to download, no account to create, nothing to learn. Every worker on the floor already knows how to send a text, which is why adoption isn't a fight.\n\n* **Answers from your own documents.** SOPs, manuals, safety procedures, tribal knowledge. Sidekick responds in the worker's language, in seconds.\n* **Creates and routes the work order.** The issue gets logged and sent to the right person, without anyone needing a laptop.\n* **Syncs with the software you already run.** Sidekick pulls from and writes to your existing systems instead of replacing them, and integrates directly through PLC and SCADA systems so the floor and the software finally see the same thing.\n* **Captures tribal knowledge.** Every exchange builds a searchable knowledge base the company owns, so the know-how stays when the veteran leaves.\n\nHere's a full walkthrough:\n\n<https://www.youtube.com/watch?v=a5zBRSXi-90>\n\n## 👤 The Team\n\nI'm Justin, founder and CEO. I'm the third generation in a manufacturing family, and I've been around plant floors since I was a kid. I studied Computer Science at the University of Pennsylvania, worked in finance at Arm, and left both to build Sidekick after watching the same problem play out on every floor I'd been on.\n\n## 🙏 Our Ask\n\nIf you answer \"yes\" to any of these, I'd love your help:\n\n* **Do you know anyone who owns or runs a manufacturing plant, warehouse, or industrial facility?** Even a name and a \"you two should talk\" goes a long way.\n* **Have you sold software into manufacturing?** I'd love to hear what actually worked and what didn't.\n\nContact me at [**justin@textsidekick.com**](mailto:justin@textsidekick.com) or [**book a demo here**](https://calendly.com/justin-textsidekick)**.**",
        "url": "https://www.ycombinator.com/launches/SNH-sidekick-ai-agent-that-handles-frontline-operations-over-text",
        "votes": 7,
        "created_at": "2026-08-07T15:00:00.438Z"
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    "id": 31454,
    "name": "E1O",
    "slug": "e1o",
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    "website": "https://e1o.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "E1O (E1 Optics) is building camera-free AI glasses with a private display and a personal assistant. Follow your coding agents, catch up on email, and bring useful information into view. Connected to the E1O app on your phone. Join the early-access waitlist at e1o.com.",
    "one_liner": "Camera-free AI glasses. Your AI, out in the world.",
    "team_size": 1,
    "industry": "Consumer",
    "subindustry": "Consumer -> Consumer Electronics",
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    "batch": "Spring 2026",
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    "regions": [
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    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/e1o.json",
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    "city": "San Francisco",
    "country": "US",
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        "user_id": 3415656,
        "full_name": "Maceo Cardinale Kwik",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO of E1O (E1 Optics), building camera-free AI glasses with a private display and a personal assistant. Previously a software engineer at Traba, where I built Datost on nights and weekends before joining YC. Datost reached $400K ARR in eight weeks; I then pivoted to the hardware I wanted to build. B.S. in Computer Science from Virginia Tech in two years, 4.0 GPA.",
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      {
        "id": 99800,
        "title": "Datost - The most accurate AI data analyst",
        "tagline": "A proactive AI data analyst with a built in semantic layer that actually understands your business",
        "body": "Hey everyone — This is Maceo and Jason, founders of Datost.\n\n**TL;DR:** Datost is an AI data analyst your team @mentions in Slack. It keeps a semantic layer of your business definitions so it understands what questions mean before writing SQL. On the hardest public text-to-SQL benchmark, it scores 75.2%. The best frontier model alone gets 33%.\n\n**Why I built this**\n\nWe saw the problem while I was at Traba, a staffing marketplace. Traba had a lot of data and not enough analysts. Someone would need a number to make a decision, and the path to that number ran through SQL they couldn’t write or an analyst who was busy. The question would sit for hours. By the time the answer showed up, the decision had already been made on a guess.\n\nThere are AI analytics tools out there now. They all have the same problem: they don’t understand your business. When your PM asks “which accounts are at risk of churning,” there’s no column called that. “At risk” has a formula that lives in someone’s head, or a doc, or nowhere. These tools guess an interpretation and commit. Then someone in a Slack thread acts on the answer before anyone checks whether it was right.\n\n**The semantic layer**\n\nDatost maintains a layer of your team’s definitions, what “churn risk” means at your company, how you calculate NRR, which tables are trustworthy, what that internal acronym stands for.\n\nWhen it hits a term it hasn’t seen, it looks it up the same way a new analyst would ask a coworker. When the semantic layer doesn’t have it either, it asks the user before writing any SQL.\n\nIt learns from mistakes too. When it gets something wrong, it leaves notes on the schema so it doesn’t make the same mistake twice. Teams that have been using it for a few months barely correct it anymore.\n\n![uploaded image](/media/?type=post&id=99800&key=user_uploads/3433862/f456e145-3c20-47ed-b570-06e70b3c6cda)\n\n**What it actually does**\n\nYour team @mentions Datost in any Slack channel. It searches the semantic layer, explores your schema in a sandbox, writes and tests SQL, then posts the answer in-thread with the work shown. A second model reviews every answer read-only. If the definition says one thing and the SQL does another, the reviewer catches it.\n\nIt also runs on its own. You can set it up to post a pipeline coverage update to #sales every Monday, or flag when a metric moves outside a range you care about. Or if youre old fashioned it can make a beautiful dashboard for you :)\n\n![uploaded image](/media/?type=post&id=99800&key=user_uploads/3433862/f5c22b08-a608-47cd-a986-785487b6935e)\n\nIt connects to Postgres, MySQL, BigQuery, Snowflake, Databricks. Also Datadog, Sentry, PostHog, Coda, Notion, GitHub, and anything else via MCP. It reads your Slack history to see how things were answered before. It reads your codebase to understand how a metric is actually calculated. Charts, dashboards, PDFs, exports, whatever format you need. Most answers come back in under a minute.\n\n**The benchmark**\n\nWe ran Datost against BIRD-Interact, the hardest public text-to-SQL benchmark. 600 deliberately ambiguous questions across 22 messy and realistic PostgreSQL databases, published at ICLR 2026. Every question uses terms that aren’t in the schema.\n\nClaude Opus 4.6, the model Datost runs on, gets 33% on its own. Datost scored 75.2%. Same model. The gap is the semantic layer. On analytical questions, 91%.\n\nFull breakdown here: <https://datost.com/blog/bird-interact>\n\n**Ask**\n\nIf your team has a Slack, Teams, or Google Chat workspace and data people keep asking about, we can get you running in a day.\n\n* [**Book a call**](https://datost.cal.com/founders/30-min)\n* Email me or Jason: [maceo@datost.com](mailto:maceo@datost.com) or [jason@datost.com](mailto:jason@datost.com)  \n* Or reply here\n\n<https://www.youtube.com/watch?v=iIxir5wtX44>",
        "url": "https://www.ycombinator.com/launches/Pxg-datost-the-most-accurate-ai-data-analyst",
        "votes": 41,
        "created_at": "2026-04-16T00:27:18.539Z"
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    "id": 31572,
    "name": "GBrain",
    "slug": "gbrain",
    "former_names": [
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      "gbrain.io"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7bf7b8a84de5df5cb99d1a5f1024ec159e9c14d.png",
    "website": "https://gbrain.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Like ChatGPT or Claude, but it runs in the cloud, remembers everything you give it, and comes loaded with skills. Hand it a job tonight and read the answer in the morning. Use it on your own, or with your whole team.",
    "one_liner": "A personal or team assistant that works while you sleep",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1789511395,
    "tags": [
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      "Automation",
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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        "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": "The three of us met building Garry's List. Every time we moved between AI tools we pasted the same API keys into the next one and explained the work all over again. \r\n\r\nNo existing tools were built for a team, either. We wanted one thing all three of us could prompt together, which is why gbrain.io is multiplayer.\r\n\r\nInitially, building this meant the three of us in a room spinning up an agent harness, initializing memory; installing skills, manually setting up integrations to external tools, and pasting API keys in one at a time. \r\n\r\nAfter copy-pasting that setup for a bunch of our friends, we built [gbrain.io](http://gbrain.io) for the world: the same thing, in the cloud, that sets itself up in one click."
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    "url": "https://www.ycombinator.com/companies/gbrain",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/gbrain.json",
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      "url": "https://www.ycombinator.com/people/garry-tan"
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        "full_name": "Brad Gessler",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder & CEO Gbrain.io, P26. Cofounder & CTO of Poll Everywhere, S08. More at https://bradgessler.com/",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bradgessler/",
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        "full_name": "Jamison Mercurio",
        "title": "Founder",
        "founder_bio": "Co-founder at Gbrain.io (P26). Previously co-founder and CEO of Mango Health (YC W24, AI mental health). Former Meta iOS and web engineer (Messenger Video Chat + Facebook News). Princeton CS Class of 2020.",
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    "id": 32088,
    "name": "Roma",
    "slug": "roma",
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    "website": "https://roma.app",
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    "long_description": "Roma is the to-do list that does itself. Two of our three founders have been through YC before: Jan built Loom (W12, acquired by Dropbox) and Tobi built Senic (S13, acquired by Gira).\r\n\r\nMost of the work we do starts and ends with a task. So we're rebuilding something everyone already uses: the to-do list that becomes your everyday assistant, the one place that already knows everything you need done.",
    "one_liner": "Roma is the to-do list that does itself",
    "team_size": 3,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1789406521,
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    "nonprofit": false,
    "batch": "Fall 2026",
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        "full_name": "Jan Senderek",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder / CEO at Roma (YC F26). Previously founder at Loom (YC W12 - acquired by Dropbox).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jansenderek/",
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        "user_id": 38750,
        "full_name": "Tobias Eichenwald",
        "title": "Founder",
        "founder_bio": "Currently Co-Founder of Roma (F26). Previously Co-Founder of Senic (YC S13), acquired by GIRA. Programmer and designer. 3x Red Dot Award winner. Love to run and sketch.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tobias-eichenwald",
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        "full_name": "Cody Osborne",
        "title": "Founder",
        "founder_bio": "Building something new at YC (F26). Writer, director, and entrepreneur with nearly two decades of experience in brand marketing and creative. Previously agency creative at Goodby Silverstein & Partners and 72andSunny, in-house director at Dropbox, and co-founder of The Goondocks, an award-winning creative studio.",
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        "linkedin_url": "https://www.linkedin.com/in/a-cody-osborne-3845b54/",
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      {
        "id": 117892,
        "title": "Roma: The to-do list that does itself",
        "tagline": "We're reinventing the to-do list so it does the work for you.",
        "body": "**TL;DR:** Roma is the to-do list that does itself. It's the original productivity tool reinvented. The task list you already keep, remade so the tasks actually get done.\n\n<https://youtu.be/6bEw1OBRTkU>\n\n### The original\n\nFrom pen and paper to apps on a phone, the to-do list has stood the test of time. It's the original productivity tool, and the one tool everyone has used at least once.\n\nYou can't say that about many things, especially as technology advances. But whether you have one task or seventeen, there's a to-do list in your head, in your pocket, or on your desk right now.\n\nSince the beginning, all to-do lists have made the same promise: write the task down so you can stop worrying about it. The catch is that you always have to come back and do it yourself. So the tasks pile up.\n\n### The problem\n\nWhen AI became smart enough to actually help you get things done, we did what a lot of people did and built our own agents. It was hard. It took forever. Even when it worked, it didn't work the way we wanted. \n\nThen the AI Assistants arrived, promising to handle things for you. People love them. That's the clearest sign the demand is there.\n\nBut the work never stay put. It lives in one chat, then another, then an inbox, then a doc somewhere. Instead of doing the work, you're tracking the work down.\n\n### Reinventing the to-do list\n\nThat's why we're playing the long game and not building another assistant. We're reinventing the original productivity tool: the to-do list.\n\n**Roma is the to-do list that does itself.** \n\nThat sounds possible with AI, but it's really hard to get right. You have to be able to add a task for anything and the system has to figure out what you meant, get to work on multiple things in the background, sort it into the right project, and surface it at exactly the right time. \n\nSo that's where we spent most of our time building Roma. Underneath Roma is a harness built to take a task from idea to execution. And on top, it feels as simple and light as the to-do list that you're used to. \n\n### What it feels like\n\nRoma gets real tasks done. But what you notice first is what it does to your mind. You realize you haven't thought about that one task in hours, because it's being handled. You walk into a meeting prepared. You close your laptop with a clear head.\n\n### Why us\n\nWe're Jan, Tobi, and Cody. Jan previously built Loom (YC W12, acquired by Dropbox), and Tobi built Senic (YC S13, acquired by Gira). \n\n![uploaded image](/media/?type=post&id=117892&key=user_uploads/24212/d1545e35-9497-4e2f-a4f9-34f6420684e6)\n\n### Where this goes\n\nWe're only scratching the surface of what Roma can do. As Roma takes on more of your work, the to-do list becomes the place you hand off everything. \n\nWe're going to connect with the apps and assistants you're already using. So whatever you're working on, Roma becomes the center of how it gets done. \n\nWe're only scratching the surface of what Roma can do, and we can't wait to hear what you think.\\\n\\\n**Try Roma:**\n\n* Website: <https://roma.app>\n* Mac &amp; iOS: <https://roma.app/download>\n\nWe're very excited to hear what you all think!",
        "url": "https://www.ycombinator.com/launches/UfU-roma-the-to-do-list-that-does-itself",
        "votes": 8,
        "created_at": "2026-10-06T14:00:02.142Z"
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    "id": 32121,
    "name": "Moonshot",
    "slug": "moonshot-computer",
    "former_names": [
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    "website": "https://moonshot.computer/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We want to bring AI agents to a billion people.\r\n\r\nTo do this, we believe it needs to be 1. proactive and 2. personal. A billion people already carry the right device, but none of them have the right connector.\r\n\r\nMoonshot is personal intelligence that lives on your iPhone and listens to you 24/7. It continuously builds up a greater understanding of you through constantly listening and building context. It just pays deep attention, the way a good friend does. Through this, Moonshot monitors your conscious and subconscious life, figuring out what you need before you know, reminding you about open loops, identifying life and emotional trends before you recognize it, and covering a lot more of what we gloss over in daily life.\r\n\r\nFor fifty years, software has waited to be asked. We think tools are just good enough to flip this, and the next great software will provide value before asking for something first. We're doing it through Moonshot.\r\n\r\nOur thesis is simple: you're only living half your life. The half that you actively remember. The other half just evaporates into your subconscious: what you said, felt, promised, and forgot. It's the more interesting half, and until now nothing could catch it, making it not actionable.\r\n\r\nMoonshot catches your subconscious half and understands you well enough to take actions on your behalf.\r\n\r\nTake life personally.\r\n\r\nThe iOS app is designed around ambient listening and clear user control. Short microphone chunks are sent securely to Moonshot's private transcription service and deleted when transcription finishes. Text and selected context can be sent through Moonshot's server to a model when the app needs to understand a moment. Nothing leaves without your yes. The privacy policy explains every data path, stored copy, permission, and deletion control in detail.\r\n\r\nMoonshot is in early access. Join the waitlist to hear when access opens, read more about the team and product on the About page, or use the Contact page for a direct written response from the Moonshot team.\r\n\r\nLet's make it a Moonshot.",
    "one_liner": "agents for the rest of us",
    "team_size": 3,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1783572660,
    "tags": [
      "Consumer",
      "Productivity",
      "AI",
      "AI Assistant"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
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    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/moonshot-computer",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/moonshot-computer.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/heymoonshot",
    "x_url": "https://x.com/heymoonshot",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 2384611,
        "full_name": "Ojas Kandhare",
        "title": "Founder/CEO",
        "founder_bio": "goofing",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ojas-kandhare-74b349212/",
        "x_url": "https://x.com/ojaskandy",
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      {
        "user_id": 2613840,
        "full_name": "Tario You",
        "title": "Founder/CTO",
        "founder_bio": "mooning",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tario-you",
        "x_url": "https://x.com/deftarioo",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8de95ae9d0f4ced5184d6984735de601565c588c.jpg"
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  },
  {
    "id": 32129,
    "name": "Egoist Machines",
    "slug": "egoist-machines",
    "former_names": [
      "studysesh"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cfd986a9205506ed6e96b2903d048ce2aa98626d.png",
    "website": "https://ego.ist/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Egoist Machines is building infrastructure for a world where your personal context belongs to you, rather than to the apps and AI companies you use. Today, every assistant and consumer app builds its own version of you. We think that architecture is backwards. Your context should live with you, persist across products, and be available to any model, app or agent you choose.\r\n\r\nAI Passport is the first layer of that infrastructure. It brings the context you generate across AI assistants and everyday apps into one portable profile you control. Tell ChatGPT something and Claude can already know it, for example. Switch to a new product and it can understand you from the first interaction, without the new company needing to own the underlying data.\r\n\r\nApps integrate through Sign in with AI Passport, requesting only the context they need for a specific purpose and duration. Users can see what is being accessed and revoke that access later. Underneath, we have built our own memory infrastructure for fast, compact per-user retrieval and permissioned access.\r\n\r\nWe are distributing AI Passport directly to consumers through first-party products, while integrating it into consumer applications with existing distribution. Every new product that uses Passport gives users another reason to maintain their context there, and every additional Passport holder makes the context layer more useful to developers.\r\n\r\nThe next step is to build a true Egoist Machine: an intelligent system whose memory, incentives and actions are governed by the individual it represents. We call it Digital Domovoy, the hardware extension of AI Passport. Instead of your most personal context ultimately living on somebody else's servers, it lives and is processed locally on hardware you control. AI Passport becomes the permission layer between that private local context and the cloud models and internet services you choose to use.\r\n\r\nOur North Star is the Egoist Machine: an intelligent system whose memory, incentives and actions are governed by the individual it represents.",
    "one_liner": "Your personal context, securely portable across every AI app.",
    "team_size": 2,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1784701469,
    "tags": [
      "Hardware",
      "Personalization",
      "Privacy",
      "Consumer Products",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "Consumer"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/egoist-machines",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/egoist-machines.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/130104210/",
    "x_url": "https://x.com/EgoistMachines",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/egoist-machines",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cfd986a9205506ed6e96b2903d048ce2aa98626d.png",
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    "company_photos": [],
    "primary_partner": {
      "name": "Harshita Arora",
      "url": "https://www.ycombinator.com/people/harshita-arora"
    },
    "founders": [
      {
        "user_id": 3328552,
        "full_name": "Erin McGurk",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of Egoist Machines (YC S26). Grew 0 to 1M+ followers in a year (@erinmerylstudy) and scaled a social enterprise reaching millions. Advised Cambridge and the UK Government on social media strategy. BA (Uni of Cambridge), Land Economy (Economics + Law). Focused on privacy, and social + legal infrastructure.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/erin-mcgurk",
        "x_url": "https://x.com/erinmerylstudy",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f0cad001b56062b81b2b1049fee039401556e8fc.jpg"
      },
      {
        "user_id": 1963978,
        "full_name": "David Khachaturov",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Egoist Machines (YC S26). BA/MA (Uni of Cambridge), MSc (Uni of Oxford), PhD (Uni of Cambridge) in Computer Science. Youngest-ever Fellow at St Catharine's College, Cambridge at 25. Previously ML Researcher at OpenAI (PaperBench), Lead AI Security Researcher at FrontierOne. Founded and scaled mazette! (game publisher, 10-title portfolio). Cambridge CS supervisor for 8+ courses, taught 160+ supervision groups and mentored 19 dissertations.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/david-g-khachaturov/",
        "x_url": "https://x.com/davidobot_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/414ccf8066649877960bdc6ad659a315ca611119.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Business Weekly Awards 2026: 44 shortlisted companies revealed for Cambridge Tech and Life Sciences showcase",
        "url": "https://www.businessweekly.co.uk/posts/business-weekly-awards-2026-44-shortlisted-companies-revealed-for-cambridge-tech-and-life",
        "date": "Jul 24, 2026"
      },
      {
        "title": "Manchester founder moves to Silicon Valley to build AI startup",
        "url": "https://businesscloud.co.uk/news/manchester-founder-moves-to-silicon-valley-to-build-ai-startup/",
        "date": "Jul 17, 2026"
      },
      {
        "title": "Former Altrincham Grammar student secures backing from world's top startup accelerator",
        "url": "https://altrincham.todaynews.co.uk/schools/2026/07/16/former-altrincham-grammar-student-secures-backing-from-worlds-top-startup-accelerator/",
        "date": "Jul 16, 2026"
      },
      {
        "title": "Former Altrincham student builds new AI company in California | Messenger Newspapers",
        "url": "https://www.messengernewspapers.co.uk/news/26279308.former-altrincham-student-builds-new-ai-company-california/",
        "date": "Jul 15, 2026"
      },
      {
        "title": "Y Combinator backs Cambridge-founded Egoist Machines to launch ‘AI Passport’",
        "url": "https://www.businessweekly.co.uk/posts/y-combinator-backs-cambridge-founded-egoist-machines-to-launch-ai-passport",
        "date": "Jul 14, 2026"
      }
    ],
    "launches": [
      {
        "id": 111045,
        "title": "Egoist Machines: user-owned hyper-personalisation infrastructure for Web 4.0",
        "tagline": "One portable, permissioned memory and context layer for hyper-personalisation across every AI application.",
        "body": "**TL;DR:** We are building AI Passport, the user-owned context layer for consumer AI. It lets people carry their personal context between products while controlling exactly what each product can access, why, and for how long.\n\nRead our manifesto for the bigger vision: <https://ego.ist/notes/the-egoist-machine>\n\nCreate your AI Passport to start taking control of your data: <https://ego.ist/>\n\n**Ask**: if you’re working on a consumer-facing AI application, or know someone who is, we’d love to chat: [founders@ego.ist](mailto:founders@ego.ist)\n\n<https://youtu.be/nLnZNjyHV0s>\n\nThe next era of consumer technology will be **hyper-personalised**. The products that understand each user from the very first interaction will create fundamentally better experiences and, we believe, the next consumer decacorns. People increasingly lack the time and patience to train every new product from scratch.\n\nThe main blocker to ubiquitous consumer AI is that every major AI assistant and consumer app is building its own private and incomplete model of the same person. ChatGPT holds one model, Claude another, while the data in health apps, calendar, shopping history, travel accounts, wearables, and financial tools remain trapped in separate silos. No product has the complete context needed to understand you, and no user has a single place from which to control it.\n\nAs a result:\n\n\\- Users get bored of repeatedly explaining themselves;\n\n\\- Companies spend money building context that already exists;\n\n\\- Personal data remains trapped inside platforms the user does not control.\n\nThe natural end state of this inefficiency is one user-owned memory and context layer that sits above individual products. Apps request the specific context they need, and users grant scoped, time-limited access instead of permanently surrendering their data.\n\n**_That is AI Passport_**.\n\n---\n\n## How AI Passport works\n\nAI Passport is a centralised, user-controlled home for personal context.\n\nYou can think of it as **Link for personal context**. Link lets people securely save their payment and shipping information once and reuse it across businesses; AI Passport does the same for _all_ your context, including preferences, interests, goals, history, health, travel, and so much more.\n\nUsers bring this context into one centralised AI Passport by connecting the apps and AI assistants they already use. They can also save anything they discover online or on social media directly to their Passport. New information enters an approval inbox, where the user decides whether it becomes _private memory_ or part of their _living, shareable public profile_.\n\nThat same Passport then becomes a plug-and-play connector for consumer apps through our **Sign in with AI Passport** OAuth system:\n\n1\\. An app requests the specific context it needs.\n\n2\\. The user sees exactly what is being requested, why it is needed, and how long access will last.\n\n3\\. The user can approve, edit, or deny the request, with the option to grant one-time, time-limited, or continuing access .\n\n4\\. Every permission can later be inspected or revoked.\n\nWe are launching AI Passport directly to consumers and through distribution and deep-integration partners collectively reaching millions of users across dining, ride-hailing, wearables, healthcare, lifestyle, finance and more.\n\nWe built a custom memory backend for AI Passport. It is optimised for compact, exact retrieval across isolated per-user memory stores and supports cryptographic access control at the memory layer. The retrieval path is constrained by the user's active permission, so the product can access only the context authorised for that purpose and period.\n\n---\n\n## Who we are\n\n![uploaded image](/media/?type=post&id=111045&key=user_uploads/3328552/4bb1bba6-8c9f-4d94-b88a-28051f5e6e45)\n\n**Dr David Khachaturov** holds a PhD (Uni of Cambridge) in Computer Science and is the youngest-ever Fellow at St Catharine's College, Cambridge. Previously an ML Researcher at OpenAI (PaperBench) and Lead AI Security Researcher at FrontierOne.\n\n**Erin Meryl McGurk** grew 0 to 1M followers on socials in one year. Advised Uni of Cambridge, UK Govt, OpenAI on social media strategy. Founded social enterprise Girl Economics to 15 countries, 75 ambassadors, 10+ weekly events.\n\n---\n\n## Our Ask\n\n**For users:** create your AI Passport (<https://ego.ist>) and tell us what you think!\n\n**For builders:** if you are building a product that could benefit from richer user context, explore our developer docs (<https://ego.ist/docs>) and feel free to reach out to [founders@ego.ist](mailto:founders@ego.ist).\n\nWe would especially value introductions to teams building consumer AI, wearables, health products, commerce experiences, or agents that need bounded access to sensitive personal information. If that is you, I want to chat: <https://calendar.app.google/qT5ccAUEqB9V82Uz9>",
        "url": "https://www.ycombinator.com/launches/St3-egoist-machines-user-owned-hyper-personalisation-infrastructure-for-web-4-0",
        "votes": 59,
        "created_at": "2026-08-18T14:58:03.221Z"
      }
    ]
  },
  {
    "id": 32588,
    "name": "Almanac",
    "slug": "almanac",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/04034530613a233afe0d28a52bcfd6e9943b7ea7.png",
    "website": "https://usealmanac.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Almanac is an AI agent that deeply understands your work.\r\n\r\nToday people rely on a stack of productivity tools to hold the context of their work including todo lists, issue trackers, wikis, and CRMs. All of them have to be updated by hand, and none were built for AI. \r\n\r\nAlmanac maintains its own self-updating productivity suite for you. This gives it an absurdly good understanding of your work, based on which it proactively gets things done for you.\r\n\r\nAlmanac starts with individuals, but it's built for teams. As more of a team connects their work, the agent gains shared context across everyone, so it understands not just what you're doing but how the whole team's work fits together.",
    "one_liner": "Organizing company knowledge",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1784235632,
    "tags": [
      "Generative AI",
      "AI",
      "AI Assistant"
    ],
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    "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/almanac",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/almanac.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/usealmanac/",
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    "primary_partner": {
      "name": "Harshita Arora",
      "url": "https://www.ycombinator.com/people/harshita-arora"
    },
    "founders": [
      {
        "user_id": 2550783,
        "full_name": "Rohan Sharma",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder at Almanac. ML research at the Vector Institute, CMU and MIT. MEng in Computational Science from Harvard, BTech from IIT Delhi.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rohan-sharma-b6275219b/",
        "x_url": "https://x.com/rohansharma0509",
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      },
      {
        "user_id": 2557429,
        "full_name": "Kushagra Chitkara",
        "title": "Founder/COO",
        "founder_bio": "Cofounder at Almanac. Masters in Data Science from Harvard '25, Bachelors in Electrical from IIT Kharagpur '23.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kushagra-chitkara-2b3226192",
        "x_url": "https://x.com/kushagrchitkar",
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      },
      {
        "user_id": 2251543,
        "full_name": "Divit Sheth",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder at Almanac. Previously Senior Software Engineer at Arcesium. BE in Electrical and Electronics Engineering from BITS Pilani with a minor in Data Science.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/divit-sheth/",
        "x_url": "https://x.com/divitsheth007",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/93674e13d8af5f7bcc49866d253a7ccba619b8d4.jpg"
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    ],
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    "launches": [
      {
        "id": 106258,
        "title": "Almanac: The agent with a company brain",
        "tagline": "Almanac works with its own browser and terminal, signed into the accounts you connect.",
        "body": "There's a new kind of agent.\n\nIt exists on its own computer, connected to your tools, with a living brain of everything you and your company know.\n\nIntroducing Almanac, the agent with a company brain.\n\n<https://youtu.be/UZVOJTQhW1I?is=Bb0d2--YkZYf7xdp>\n\nAlmanac works with its own browser and terminal, signed into the accounts you connect. Everything in your tools compiles into a wiki that it reads before every task. Your teammates' Almanacs share that wiki. You text it work. It texts you when it's done.\n\n![uploaded image](/media/?type=post&id=106258&key=user_uploads/2550783/615174e2-3d24-480d-a8f5-7c849c5a24b9)\n\n**What we hand ours**\n\n* Divit has it gather feedback from our customer Slack channels and file GitHub issues, with screenshots and reproduction steps.\n* Kushagra connected his Chase account. It inspects recurring charges and cancels subscriptions he doesn't use.\n* Before meetings, it sends us a brief built from our past emails and calendar. After, it drafts the follow-up. The draft is usually good enough to send.\n* It watches our production environment. When something trivial breaks, it fixes it and raises a PR.\n* It buys our dinner. At this point it suggests the order.\n\n**It knows when to stop.** At a login, a payment, or a decision it shouldn't make alone, it pings you or hands you the live browser.\n\n![uploaded image](/media/?type=post&id=106258&key=user_uploads/2550783/9b85821d-c37b-4da7-87a9-6218d731ad53)\n\n**Automations are just sentences.** \"Whenever a customer reports a bug, check whether anyone else has reported it, reproduce it, and update the GitHub issue.\" Say it once. There's no workflow builder.\n\n**The brain is shared.** Your teammates' Almanacs read and write the same wiki. So can your other agents: Claude Code and Codex can start caught up on your company. \\\n\\\n**Our bet.** We're Rohan, Kushagra, and Divit. We grew up together in India and met 11 years ago preparing for the JEE. Since then: machine-learning research and engineering across Vector Institute, CMU, MIT, Harvard, and Arcesium. From the start we've had one bet: AI will need a context layer, and it takes the shape of a wiki. For the last year and a half we've built agent wikis for Harvard, for NASA, and once, an attempt at the whole internet. We are, perhaps predictably, obsessed with wikis. Almanac is that bet, pointed at your company.\n\n![uploaded image](/media/?type=post&id=106258&key=user_uploads/2550783/7bab1366-3e4c-4140-829d-e1bc9666d9ab)\n\nText it your first task tonight. See what's done by morning.\\\n\\\nTry it out today: <https://usealmanac.com>",
        "url": "https://www.ycombinator.com/launches/Rdq-almanac-the-agent-with-a-company-brain",
        "votes": 36,
        "created_at": "2026-08-13T15:37:10.813Z"
      }
    ]
  },
  {
    "id": 33317,
    "name": "Wondering",
    "slug": "wondering",
    "former_names": [
      "Mouseover AI",
      "Mouseover"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/188e05122015c2a6e85c91c5145eeef637482a9b.png",
    "website": "https://wondering.app",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Wondering turns anything you want to learn, from LLMs to quantum mechanics to product design, into a path of three-minute lessons with visuals, podcasts, and interactive exercises. \r\n\r\nEach learning path and its content are personalized to your background, how you learn best, and how deep you want to go.\r\n\r\nIt’s the most delightful way to understand complex topics and turn information into knowledge you can remember and apply. You don’t just passively read. You practice, make connections, and form your own insights.\r\n\r\nStart learning anything for free at https://wondering.app/download",
    "one_liner": "Duolingo for learning anything",
    "team_size": 2,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1785135586,
    "tags": [
      "AI-Enhanced Learning",
      "Education",
      "Consumer",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "Consumer"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
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