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    "long_description": "Guggy developed two innovative communication and creation products that reached global audiences. The Guggy API was a high-scale contextual messaging engine that analyzed text messages—including slang and short conversational fragments—to understand their meaning and automatically generate matching GIF responses. It combined a custom NLP engine, a relevance-matching system, and a real-time GIF regeneration pipeline, and was integrated into leading messaging platforms such as Facebook Messenger, Viber, Kik, Telegram, Slack, and major Asian chat apps, serving millions of requests per day.\r\n\r\nGuggy also created Bits, a short-form video creation app designed for actors, comedians, and everyday creators to craft original comedic scenes with ease. Bits provided intuitive but powerful tools for scripting, timing, character changes, audio control, and scene composition, enabling fast, high-quality creative expression. The app attracted tens of thousands of creators and was featured in Fast Company for its innovative approach to mobile video creation.",
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    "id": 12015,
    "name": "Docucharm",
    "slug": "docucharm",
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    "team_size": 2,
    "industry": "B2B",
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        "full_name": "Sachith Gullapalli",
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    "id": 12550,
    "name": "Kraftful",
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    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Helping product builders to listen to users at scale so they can make something people want.",
    "one_liner": "Copilot for product teams",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1556079534,
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/kraftful",
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        "user_id": 331211,
        "full_name": "Yana Welinder",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO of Kraftful (acquired by Amplitude)\n\nBefore starting Kraftful, I led product at a range of tech companies, from being PM #2 at a fast-growing unicorn to heading product teams building products used by millions. That experience inspired me to start Kraftful, to help product teams ship products people love.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ywelinder/",
        "x_url": "https://twitter.com/yanabana",
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    "news": [
      {
        "title": "Amplitude Acquires Kraftful to Power Customer-First Product Building | Amplitude",
        "url": "https://amplitude.com/blog/amplitude-acquires-kraftful",
        "date": "Jul 10, 2025"
      },
      {
        "title": "Kraftful is one of Fast Company's Most Innovative Companies of 2024",
        "url": "https://www.fastcompany.com/91030328/kraftful-most-innovative-companies-2024",
        "date": "Mar 19, 2024"
      },
      {
        "title": "A new generation of Silicon Valley designers is racing to build AI’s n",
        "url": "https://www.fastcompany.com/90931154/a-new-generation-of-silicon-valley-designers-is-racing-to-build-ais-next-big-thing",
        "date": "Aug 16, 2023"
      }
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    "launches": [
      {
        "id": 91584,
        "title": "Kraftful Inbox for all your user feedback",
        "tagline": "Build something people want, by listening to users at scale.",
        "body": "**TLDR**\\\nKraftful Inbox automatically gathers, analyzes, and prioritizes user feedback from every channel, instantly turning insights into Jira/Linear tickets. One place for all user insights.\n\n[https://youtu.be/hiIJIGgvdMk?si=BaDElfjt6iE_ots9](https://youtu.be/hiIJIGgvdMk?si=BaDElfjt6iE_ots9%5C)\n\n**Problem**\\\nCollecting user feedback from user interviews, surveys, app reviews, sales calls, support tickets is messy and exhausting. Most teams give up entirely.\n\nNow you don’t have to.\n\n**Solution**\\\nKraftful Inbox automatically pulls in feedback from sales calls, user interviews, support tickets, surveys, app reviews, Reddit, Discord, even Slack conversations with customers.\n\nEvery day, it analyzes feedback to surface the most important feature requests, bugs, pain points, and insights—then suggests exactly how they fit into your roadmap.\n\nWant to act fast? Instantly turn any insight into a Jira or Linear ticket.\n\nYour Inbox updates daily, consolidating fresh insights, counting how often each issue arises, and linking directly to relevant context.\n\nPlug in your CRM to tie feedback directly to revenue impact. Spot trends, manage feedback seamlessly, and maintain a single source of truth for user insights.\n\nLoved by 50,000+ product teams.\\\nSee why: [kraftful.com](http://kraftful.com)",
        "url": "https://www.ycombinator.com/launches/NpA-kraftful-inbox-for-all-your-user-feedback",
        "votes": 99,
        "created_at": "2025-06-24T16:41:53.594Z"
      },
      {
        "id": 84241,
        "title": "Social Apps Research by Kraftful",
        "tagline": "Learn what users want from app reviews of TikTok, X, Facebook, and other social apps.",
        "body": "**TL;DR:** Kraftful AI handles the tedious product work so that you can focus on strategy and product craft. Now, it also helps with [market research for social apps](http://www.kraftful.com/marketresearch/social-media).\n\n![uploaded image](/media/?type=post&id=84241&key=user_uploads/331211/1003a0bb-165b-4ba9-bca5-8368a7226b10)\n\n# Who has the bandwidth to read app store reviews?\n\nApp store reviews are full of insights about what users want from different products. But for product builders, sifting through thousands of reviews to prioritize features is nearly impossible.\n\nSince launching Kraftful’s AI-powered feedback analysis, our customers have been using it to quickly gather and learn from app reviews, including those of their competitors.\n\nTaking their feedback to heart, we’ve now made it even easier to get these valuable competitor insights directly through Kraftful.\n\n# Insights from hundreds of thousands of reviews\n\nToday, we’re excited to launch the second part of our market research: social media apps.\n\nKraftful has analyzed hundreds of thousands of app reviews to summarize:\n\n1. The most requested features in social apps.\n2. The most common complaints about the top social apps.\n3. What users care about most in a social app.\n\nYou can explore summaries for the entire social category or dive into specific apps like TikTok, X, Threads, Facebook, LinkedIn, and more.\n\n**Next up:** dating apps!\n\nWe initially focused on design tools and intended to survey various other B2B solutions. But after reading [Michael Seibel’s post](https://x.com/mwseibel/status/1835063692117103090) that this is the time for consumer products, we quickly pivoted to focus on the consumer market.\n\nBut we’d love to hear from you—what categories are you curious about, and what insights would be most helpful? (respond to a [Kraftful AI interview](https://klever.kraftful.com/surveys-public/marketresearch) 👍)",
        "url": "https://www.ycombinator.com/launches/Luj-social-apps-research-by-kraftful",
        "votes": 12,
        "created_at": "2024-09-23T21:31:32.951Z"
      },
      {
        "id": 84112,
        "title": "Market Research by Kraftful",
        "tagline": "Learn what users want from online reviews in a product category. ",
        "body": "**TL;DR:** Kraftful AI handles the tedious product work so that you can focus on strategy and product craft. Now, [it also helps with market research](https://www.kraftful.com/marketresearch/design).\n\n![uploaded image](/media/?type=post&id=84112&key=user_uploads/331211/d1f1ce12-47df-455d-88f8-269071aa5fd7)\n\n# Who has the time for market research?\n\nWhen building a product, the internet is packed with reviews about what users want. \n\nBut let’s be honest, who has time to find and sift through it all?\n\nSince launching Kraftful’s AI analysis for user feedback, many of our customers have used it to gather and analyze public reviews from competitors on app stores, G2, and Trustpilot.\n\nListening to our customers, we’ve made it even easier to get these insights directly from Kraftful.\n\n# Key insights from thousands of G2 reviews\n\nToday, we’re excited to launch the first part of our [market research](https://www.kraftful.com/marketresearch/design), starting with SaaS tools for **design**.\n\nKraftful has analyzed thousands of G2 reviews to summarize:\n\n1\\. The most requested features in design tools.\n\n2\\. The most common complaints about top design tools.\n\n3\\. What users care about most in a design tool.\n\nYou can explore summaries for the entire design tool category or dive into specific tools like Figma, Canva, and more.\n\n**Next up:** marketing tools! \n\nBut we’d love to hear from you—what categories are you curious about, and what insights would be most helpful? (respond to a [Kraftful AI interview](https://klever.kraftful.com/surveys-public/marketresearch) 👍)\n\n![uploaded image](/media/?type=post&id=84112&key=user_uploads/331211/941c595c-ab21-4625-b385-0f7841dd551d)\n\n",
        "url": "https://www.ycombinator.com/launches/Lse-market-research-by-kraftful",
        "votes": 19,
        "created_at": "2024-09-18T15:08:37.784Z"
      },
      {
        "id": 83412,
        "title": "Kraftful 3.0 — Build loved products ❤️",
        "tagline": "Use AI to listen to your users and integrate what you learn directly into your dev process.",
        "body": "**TL;DR:** Kraftful AI handles the tedious product work, so you can focus on strategy and product craft.\n\nTry it for free at [kraftful.com](http://kraftful.com).\n\n[Here’s a 3 min demo](https://youtu.be/0b5Xi1xb11A).\n\n**The Problem:**\n\nListening to users and acting on their feedback is tough.\n\nYC constantly reminds us to talk to users because it’s challenging.\n\nEven when you prioritize it, users often don’t have the time to tell you what they need.\n\nWhen they do, it’s scattered across different channels, making it hard to turn troubleshooting conversations into actionable “what should we build next” decisions.\n\nThe larger your company gets, the more disconnected you become from your users.\n\n**The Solution:**\n\nWhy do people love Kraftful?\n\nIn our recent Product Hunt launch, “love” was one of the most common words in the comments. Customers rave about Kraftful because it simplifies collecting valuable user insights and acting on them.\n\nHere’s how Kraftful works:\n\n1. **Have existing feedback?** Tell us the source, and we’ll collect, transform, and present it as feature requests and other actionable insights, making it easy to dig deeper or take action.\n2. **No feedback yet?** Kraftful generates surveys in 2 clicks or creates personalized interviews to complement your user calls.\n3. **Connect your Zoom or Google Meet calls** to get real-time insights.\n4. **Once you have insights:** Kraftful generates PRDs, projects, and user stories based on your user feedback and syncs directly with Linear or Jira. Or assign tickets directly in Kraftful.\n\nWhat used to take hundreds of hours now takes minutes.\n\nSimplicity is key. Unlike alternative solutions, Kraftful doesn’t overwhelm you with complex clustering, data labeling, or confusing UIs. We handle the complexity under the hood—extracting insights, grouping them, and eliminating LLM hallucinations. All you need to know is what your users need, and Kraftful delivers that in the simplest way possible.\n\nGive Kraftful a try and [share your thoughts](https://klever.kraftful.com/surveys-public/kraftful3yc) (respond to an AI interview 👍).",
        "url": "https://www.ycombinator.com/launches/LhM-kraftful-3-0-build-loved-products",
        "votes": 21,
        "created_at": "2024-08-26T17:40:36.715Z"
      },
      {
        "id": 80514,
        "title": "⭐️ Kraftful: AI-powered user interviews",
        "tagline": "An army of UX researchers to interview millions of users in minutes",
        "body": "**TLDR:** talk with millions of users simultaneously to build something people want.\n\nTry it for free on kraftful.com\n\nHere’s a 3 min demo: <https://youtu.be/BnbquZSz6v4>\n\n**Problem:** \n\nUsers hate long generic surveys, which leads to low response rates – sometimes just 5%😱 \n\nIf you have millions of users, this means you're not getting insights from a representative sample of your customer base. \n\nWorse still, if you're just starting out with only a few users, a low response rate can mean no responses at all 😞\n\n**Solution:** \n\nWith Kraftful, you can engage users or potential users with just 1-3 targeted questions instead of long, generic surveys.\n\nWhen they respond, they'll receive personalized follow-up questions tailored to their specific pain points—making the interaction more relevant and engaging.\n\nKraftful then summarizes all responses, delivering precise product insights from the collected data. \n\n**Why are Kraftful AI-powered interviews so great?**\n\n1. **They reveal insights that were previously out of reach:** Much like the information you'd get from an in-depth user conversation with the ability to ask follow-up questions. Plus, you can engage with many more users who can respond at their convenience and choose the depth of their engagement.\n2. **Massive time-saver:** Interview thousands or even millions of users simultaneously, with all responses summarized in minutes. This can save hundreds or thousands of hours, streamlining your research process dramatically.\n3. **Your own army of professional UX researchers:** Kraftful generates thoughtful questions based on the data you've already collected, eliminating the need to research best practices or spend time crafting questions.\n\nGive it a try and [let us know what you think](https://klever.kraftful.com/surveys-public/launchyc) (by responding to an AI interview👍) \n\n![uploaded image](/media/?type=post&id=80514&key=user_uploads/331211/30db3948-67ea-4d08-9a6c-f703ab1ee2a7)\n\n",
        "url": "https://www.ycombinator.com/launches/Kwc-kraftful-ai-powered-user-interviews",
        "votes": 275,
        "created_at": "2024-04-30T15:02:17.677Z"
      },
      {
        "id": 78451,
        "title": "Kraftful Surveys GPT - Generate surveys in ChatGPT and analyze responses with AI",
        "tagline": "Copilot serving 30K+ product teams.",
        "body": "Product research is now free, easy, and FAST with [Kraftful Surveys GPT](https://chat.openai.com/g/g-pPDqT7sZf-kraftful-surveys):\n\n* Instantly generate a free survey on any topic directly inside ChatGPT.\n* Send a link to your users or embed the survey on your website to collect feedback.\n* Kraftful analyzes all the survey responses to give you product insights and helps you create follow-up surveys for deeper insights.\n\nWhat used to take hundreds of hours can now be done in minutes. Creating and analyzing user surveys has never been faster. And Kraftful Surveys are FREE.\n\n![uploaded image](/media/?type=post&id=78451&key=user_uploads/331211/b4df9a14-9f9c-49dd-9ab1-8b4ad47163f4)\n\n**How Kraftful Surveys Work: AI-Powered Surveys and Analysis**\n\n**1\\. AI-Generated Surveys:**\\\nJust start Kraftful Surveys GPT inside ChatGPT, request a survey on your topic of choice, and voila! In minutes, you'll have a survey ready to send to users. Kraftful writes thoughtful questions on the topic and selects the optimal format for each question – be it text, multiple choice, or Likert scale. No more tedious survey prep.\n\nYou have the option to fine-tune the survey in Kraftful before distribution. Once your survey is ready, you can email it to your users or embed it directly on your website.\n\n![uploaded image](/media/?type=post&id=78451&key=user_uploads/331211/49f3e48e-63e4-4bcd-a506-a2bdbd92ccf3)\n\n**2\\. AI Analysis of Survey Responses:**\\\nThe real magic of Kraftful? All survey responses are automatically analyzed in Kraftful, highlighting top product insights.\n\n![uploaded image](/media/?type=post&id=78451&key=user_uploads/331211/2d56734f-0056-4529-b226-7a9b18cdb20e)\n\n**3\\. AI-Generated Follow-Up Survey:**\\\nOnce you have user feedback in Kraftful, either from your survey or by syncing any of the 30+ supported feedback sources, you can use that past feedback to generate a free follow-up survey that digs deeper.\n\nKraftful studies your user interview notes, app reviews, support tickets, or whatever past feedback you import. It then writes thoughtful questions that go beyond the insights you’ve already gathered.\n\nYou can also manually write your survey or use our NPS survey template to take advantage of instant Kraftful summaries of the survey responses. Kraftful Surveys are always free, so you have no reason to continue paying for your expensive survey platform and also waste your time writing questions.\n\n**Why We Built This**\\\nIn my experience as a product leader at various tech companies, gathering user feedback from app reviews, support tickets, call transcripts, and other sources was always a struggle. The real gold lay in surveys, dense with product insights due to their targeted nature.\n\nHowever, setting up effective surveys and analyzing their responses is incredibly time-consuming. As a result, surveys are done rarely. Teams try to squeeze in as many questions as possible, leading to low response rates and less representative feedback.\n\nKraftful Surveys addresses this issue by leveraging past feedback to generate focused survey questions, enabling:\n\n* More frequent surveys\n* Shorter, more engaging surveys for users\n\nEach survey builds upon insights from the previous one to faster learn what users need.\n\n**How to Get Started with Kraftful Surveys**\\\nGet started with [Kraftful Surveys GPT](https://chat.openai.com/g/g-pPDqT7sZf-kraftful-surveys) in ChatGPT today and streamline your user feedback process. We'd love to hear your feedback!",
        "url": "https://www.ycombinator.com/launches/KPL-kraftful-surveys-gpt-generate-surveys-in-chatgpt-and-analyze-responses-with-ai",
        "votes": 17,
        "created_at": "2024-02-15T16:00:21.363Z"
      },
      {
        "id": 77763,
        "title": "Kraftful Surveys - Generate product surveys and analyze responses with AI",
        "tagline": "Copilot serving 30K+ product teams.",
        "body": "# TLDR\n\nToday we’re changing the game in product research with [Kraftful Surveys:](https://www.kraftful.com/)\n\n1. Instantly generate a survey based on past user feedback or a new topic you want to explore.\n2. Kraftful analyzes all the survey responses to give you product insights like top feature requests, complaints, and loved features.\n3. For interesting feature requests, you can select to have Kraftful turn them into user stories with acceptance criteria and automatically sync to Jira tickets.\n\nWhat used to take hundreds of hours, can now be done in minutes. It’s never been faster to survey hundreds or thousands of users.\n\n![uploaded image](/media/?type=post&id=77763&key=user_uploads/331211/fff8749a-f2bb-4681-b61b-3ea3f6184537)\n\n# Why we built this\n\nIn my experience as a product leader at various tech companies, gathering user feedback from app reviews, support tickets, call transcripts, and other sources was always a struggle. The real gold lay in surveys, dense with product insights due to their targeted nature.\n\nHowever, setting up effective surveys and analyzing their responses is incredibly time-consuming. As a result, surveys are done rarely. Teams try to squeeze in as many questions as possible, leading to low response rates and less representative feedback. \n\nKraftful Surveys addresses this issue by leveraging past feedback to generate focused survey questions, enabling:\n\n* More frequent surveys\n* Shorter, more engaging surveys for users\n* Each survey builds upon insights from the previous one to faster learn what users need\n\n# How it works: AI AI AI\n\n### 1\\. AI generated surveys:\n\nKraftful studies your user interview notes, app reviews, support tickets, or whatever past feedback you import and writes thoughtful questions that go beyond the insights you’ve already gathered. It also selects the optimal format for each question – be it text, multiple choice, or Likert scale. No more tedious survey prep.\n\nIf you want to gather input on a new topic, you can just enter your survey topic and watch Kraftful Surveys turn it into thoughtful questions in a few seconds. Once your survey is ready, you can email it to your users or embed it directly on your website. \n\nIf you want, you can edit the AI-generated questions, change the for mat, move questions around, and anything you’d normally do with a survey tool (but without paying for an additional survey tool). Prefer the old-fashioned way? You can also manually write your survey or use our NPS survey template to take advantage of instant Kraftful summaries of the survey responses.\n\n![uploaded image](/media/?type=post&id=77763&key=user_uploads/331211/51f8abff-ba74-4ede-8a4d-099ccf2d567b)\n\n### 2\\. AI analysis of survey responses:\n\nThe real magic of Kraftful? All survey responses are automatically summarized in Kraftful, highlighting top feature requests, complaints, and loved features. Beyond our auto-generated product topics, you can dive deeper into the survey data with our chat, or review raw responses for more context. No more weekends spent sifting through hundreds of survey responses looking for the nuggets. \n\n![uploaded image](/media/?type=post&id=77763&key=user_uploads/331211/a988f656-6903-4f9b-82b8-9e01e31ba8c5)\n\n### 3\\. AI-generated user stories synced to Jira:\n\nWhen you spot interesting feature requests or complaints on the automatically generated lists, Kraftful can turn them into user stories with acceptance criteria and instantly sync the user stories to Jira so your team can start working on them. \n\nIn other words, you make the strategic decisions based on the user insights Kraftful brings you. And then Kraftful does the leg work to integrate those decisions into your backlog so your team can get to work. \n\n![uploaded image](/media/?type=post&id=77763&key=user_uploads/331211/bb7f2f44-af5d-4230-a3d3-869d164925fc)\n\n# How to get started with Kraftful Surveys\n\nGet started with our [free plan at](https://www.kraftful.com/) [kraftful.com](http://kraftful.com) and ditch your expensive survey tool. Let me know what you think!",
        "url": "https://www.ycombinator.com/launches/KEF-kraftful-surveys-generate-product-surveys-and-analyze-responses-with-ai",
        "votes": 20,
        "created_at": "2024-01-23T15:03:48.510Z"
      },
      {
        "id": 74519,
        "title": "Kraftful – Copilot for product builders",
        "tagline": "Listen to millions in minutes.",
        "body": "### **TLDR**\n\nAt the heart of every great product is the user. Kraftful Copilot makes ✨magic✨ happen – empowering product builders to listen to millions of users in just minutes and seamlessly integrate that feedback into their work.\n\nWould love for you to try it out ([free](https://www.kraftful.com/)!) and provide feedback.\n\nhttps://www.youtube.com/watch?v=bxBrpvdVWM8\n\n### **Problem**\n\nLeading product teams before I started Kraftful, one of my biggest challenges was to figure out how my teams would effectively gather insights from user interviews, app store reviews, support tickets, sales calls, and really anywhere else users wanted to give us an earful 😆\n\nBeyond the struggle of manually collecting and parsing through volumes of feedback, it’s impossible to quickly learn how frequently issues come up from different user groups and incorporate the learnings in the product development process.\n\n### **Solution**\n\nWe launched an MVP earlier this year in beta and got many millions of users from Google, Microsoft, Meta, Netflix, Canva, Dropbox, Atlassian, LinkedIn, Oracle, and many many more 🔥\n\nKraftful users built comprehensive feedback repositories on [kraftful.com](http://kraftful.com), analyzing over 13M pieces of user feedback. Kraftful Copilot saved them a whopping 100,000 hours of manual digging around in interviews, app reviews, support tickets, and other digital nooks and crannies.\n\nNow we're thrilled to unveil a more comprehensive solution, allowing you to:\n\n✅ Connect feedback from app stores, Zendesk, Intercom, and 30+ other sources \\\n👀 Explore actionable summaries of user feedback\n\n💌 Receive weekly insights in your mailbox and share with your team in Slack\n\n🤖 Automatically sync new feedback for daily, weekly, and monthly summaries so that nothing slips through the cracks\n\n💡 Uncover deeper insights through follow-up conversation with Kraftful Copilot\n\n📝 Whip up AI-written user stories with acceptance criteria and instantly sync them to Jira or post to Linear, Trello, or wherever you track your dev work\n\n\\\nGive it a try at [kraftful.com](http://kraftful.com) and let us know what you think at [feedback@kraftful.com](mailto:feedback@kraftful.com) ✨",
        "url": "https://www.ycombinator.com/launches/JNv-kraftful-copilot-for-product-builders",
        "votes": 31,
        "created_at": "2023-08-30T19:35:40.393Z"
      },
      {
        "id": 71519,
        "title": "Kraftful Plugin for ChatGPT - Your on-demand product coach",
        "tagline": "Kraftful is building a co-pilot for product builders, capable of summarizing large volumes of user feedback in mere seconds. Now, you can directly access our product coach within ChatGPT.",
        "body": "## TLDR 👀\n\nKraftful Plugin is now live in the ChatGPT plugin store!\n\nAsk questions about product management best practices and get insightful answers summarizing thinking from all the top product gurus! It’s like having your own product coach, but available 24/7 inside ChatGPT.\n\n![uploaded image](/media/?type=post&id=71519&key=user_uploads/331211/38bef5b7-5e15-403a-b7bf-7633c52f8278)\n\n## Problem 🔍\n\nDrowning in a sea of PM best practices online? The internet can be a noisy place for product builders.\n\nChatGPT is excellent at weeding through online content. But it currently doesn’t include blog posts and other product musings created after 2021. And let’s be honest, not all internet sources are created equal when it comes to getting product advice. \n\n## Solution 🎉\n\nKraftful plugin to the rescue! We’re excited to be one of the first few plugins to officially launch in the ChatGPT plugin store.\n\nThe Kraftful plugin gathers insights from a large list of reputable product resources and supercharges them with ChatGPT for quick, concise info!\n\nAt [Kraftful](https://www.kraftful.com/), we have a large community of product people, who have been recommending their go-to sources on various product dev questions ([some](https://www.kraftful.com/blogs/top-40-podcasts-for-product-builders) [examples](https://www.kraftful.com/blogs/100-must-read-books-for-product-managers-in-2023)). We’re now harnessing the power of GenerativeAI to bring it all together. \n\n## Try it out 🦾\n\nIf you have access to ChatGPT plugins, please try it out [in ChatGPT](https://chat.openai.com/) and let us know what you think. \n\nPlugin access is still being rolled out to ChatGPT users. So if you're still waiting for access, you can try out the Kraftful plugin by asking a PM best practices question [in this thread](https://twitter.com/yanatweets/status/1655584706685984773?s=20) & I'll share the plugin response with you there.",
        "url": "https://www.ycombinator.com/launches/IbX-kraftful-plugin-for-chatgpt-your-on-demand-product-coach",
        "votes": 25,
        "created_at": "2023-05-11T14:41:43.906Z"
      },
      {
        "id": 69687,
        "title": "Kraftful – ChatGPT for product research",
        "tagline": "Helping product builders to listen to users at scale",
        "body": "**TLDR**\\\nHaving led product teams at companies big and teensy, I’m excited to share a solution to involve masses of users directly in the development process to build products people love 🥰\n\nWould love for you to try it out ([free trial](https://www.kraftful.com/)) and provide feedback.\n\n![uploaded image](/media/?type=post&id=69687&key=user_uploads/331211/b2936511-7594-4003-8f64-3cbe849f5198)\n\n### **Problem**\n\nBeing a product lead before starting Kraftful, one of my teams’ biggest challenges was to manually gather insights from user interviews, app store reviews, support tickets, sales calls, and really anywhere else our millions of users wanted to give us an earful 😅\n\nEven with thousands of users, it can take hundreds of hours to try to parse through everything. It’s impossible to quickly act on all this data. Just like \\*NSYNC, users who don't feel heard end up saying \"bye bye bye” 💔💔\n\n### **Solution**\n\nNow imagine if you had the tools to effectively listen to users and make them feel heard – that would advance product development AND user satisfaction because they’d be actively engaged in the development process. \n\nWith Kraftful, you can: \n\n✅ Connect a source (e.g. iOS/Android app store reviews, Zendesk, Intercom, Front) or paste user interview notes, call transcripts, or other relevant text\n\n👀 Check out the instant summaries of frequent feature requests, common complaints, most loved app features, and lists of mentioned competitors\n\n💡 Ask follow-up questions with our ChatGPT-like assistant to uncover insights like “what do users say about X feature” or “how do users currently complete this task”\n\n💪 Use these insights to build or refine your product roadmap\n\nThis is not your mother’s AI summarization tool 😅 We’re building a solution for product teams to help them connect with users in new ways. Today’s launch is the first step toward that vision.\n\n### **Sign up for a free trial**\n\n[Give it a try!](https://www.kraftful.com/) User feedback is our jam, so let us know what you think at [feedback@kraftful.com](mailto:feedback@kraftful.com)✨\n\nWhile we’re launching in Beta, we’ve seen incredible demand for our solution. The product in Alpha has already been used by thousands of product builders from companies like Google, Microsoft, Meta, Netflix, Canva, Dropbox, Atlassian, LinkedIn, Oracle, Kayak, Volvo, Johnson & Johnson, the National Art Gallery, London Underground, 7-Eleven, and many others 🔥🔥🔥",
        "url": "https://www.ycombinator.com/launches/I7z-kraftful-chatgpt-for-product-research",
        "votes": 32,
        "created_at": "2023-02-27T04:00:12.496Z"
      }
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    "name": "Flowbot",
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    "website": "https://www.getflowbot.com",
    "all_locations": "New York City, NY, USA; New York, NY, USA",
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    "one_liner": "A natural language-driven programming assistant.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
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    "url": "https://www.ycombinator.com/companies/flowbot",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2019/flowbot.json",
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        "full_name": "Amar Agasaveeran",
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    "name": "HyperGlue",
    "slug": "hyperglue",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a16e421a067f9b41e80bcc361abe747f87cfe040.png",
    "website": "https://www.hyperglue.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "There is more text generated than any one person or team can read. A single product team can not hope to sift through their thousands of feedback responses and determine the signal amongst the noise.\r\n\r\nHyperglue enables operators, product managers, and analysts to instantly access machine intelligence on large text datasets without the engineering or headcount overhead required to deploy natural language AI within their business.\r\n",
    "one_liner": "Business intelligence on text",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1651612188,
    "tags": [
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    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Acquired",
    "industries": [
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      "Analytics"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/hyperglue",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/hyperglue.json",
    "year_founded": 2020,
    "city": "San Francisco",
    "country": "US",
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        "user_id": 608865,
        "full_name": "Samuel Oluwalana",
        "title": "Founder",
        "founder_bio": "👋 I'm a 2012 Stanford graduate that has been in the tech industry for the last decade. \nI'm deeply interested in building scalable platforms that involve applying ML to pressing problems.\nWe are bringing business intelligence to text, extracting insights from the pieces of content that would otherwise take an army to read. \n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/soluwalana/",
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        "full_name": "Stanley Fich",
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        "founder_bio": "Co-founder @JadeIQ. Stanford University Graduate (2012). Former D1 Athlete (Baseball, Football). Husband to Melisa Fich. Originally from the Bronx, NYC.",
        "is_active": true,
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    "id": 23200,
    "name": "Compose.ai",
    "slug": "compose-ai",
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    "website": "https://compose.ai",
    "all_locations": "Carlsbad, CA, USA; San Francisco, CA, USA; Remote",
    "long_description": "Compose AI is a free Chrome extension that helps automate your writing using AI. You know how Gmail autocompletes your emails? Compose.ai is like that but everywhere, like how Grammarly works.",
    "one_liner": "Cut your writing time by 40% with AI-powered autocomplete",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1614725087,
    "tags": [
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      "Email",
      "AI"
    ],
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    "batch": "Winter 2021",
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    "regions": [
      "United States of America",
      "America / Canada",
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      "Fully 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/compose-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/compose-ai.json",
    "year_founded": 2020,
    "city": "Carlsbad",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/compose-ai",
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    "github_url": "https://github.com/compose-ai",
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        "user_id": 135097,
        "full_name": "Wilson Mitchell",
        "title": "Founder",
        "founder_bio": "Ex-Amazon, Ex-Coursebase, Living in Japan the last 4+ years and running a Meetup there, Transitioning to a more nomadic lifestyle",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/wilsonmitchell",
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      {
        "id": 46547,
        "title": "Senior Frontend Engineer",
        "url": "https://www.ycombinator.com/companies/compose-ai/jobs/vUQpBfl-senior-frontend-engineer",
        "location": "Remote / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$100K - $150K",
        "equity_range": "1.00%",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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          "TypeScript"
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        "title": "Senior Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/compose-ai/jobs/IgVKl2N-senior-full-stack-engineer",
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        "title": "Senior Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/compose-ai/jobs/wUVZnC4-senior-machine-learning-engineer",
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    "name": "Cero",
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    "website": "https://cero.ai",
    "all_locations": "Santiago, Santiago Metropolitan Region, Chile; Remote",
    "long_description": "At Cero, we solve specific coordination tasks between hospitals and patients, such as appointment confirmations and last minute cancellations, by automatically communicating with patients over WhatsApp. For example, a patient can confirm and reschedule their appointment without needing to call anyone.\r\n\r\nAlmost half of the medical appointments in Latin America are missed because patients simply do not show up. This ranges from missing a regular dentist check to missing an expensive MRI scan. With increasing pressure to improve access to care in developing countries, optimizing communication and coordination with patients is a key task to achieve. This is a massive problem especially in places where most people don't know how to effectively use self-service mediums (or are too busy to use them).\r\n \r\nWe bootstrapped the company and we are profitable. As of August 2021 we have $97K in monthly revenue from 15 clients with a CMRG of 20% in the last year. We have 100% logo retention and we grow with our clients. We are currently coordinating over 600,000 medical appointments every month, just in Chile.\r\n\r\nThis problem represents a $3.5B market opportunity in Latin America only. Latin America has 650M people, each one having an average of 3 medical consultations per year. We charge for every time we effectively communicate with a patient. We plan to handle several coordination interactions with every patient for each consultation, which considers a roadmap of scheduling, confirming, booking, reimbursements, payments, among others.\r\n\r\nWe are a team mixing strong knowledge about the healthcare industry with deep technical skills. Felipe (CEO) is a former dentist that has led deep changes in healthcare payments in Chile. Mauricio (CTO) and Jorge (R&D), both PhD in Computer Science, led the creation of the most advanced Spanish Language Neural Network used daily by scientists and practitioners in LatAm (BETO: Spanish BERT).\r\n\r\nIn a weekend project, Mauricio and Jorge automated the communication with students attending a summer school obtaining impressive engagement. Felipe was struggling with contacting his patients to coordinate appointments, and saw a big opportunity in this technology. The three together have designed and run a solution that as of 2021 is coordinating over 600,000 patients per month in their home country, Chile.",
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    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1625106698,
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      "B2B",
      "NLP"
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      "Fully Remote"
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/cero.json",
    "year_founded": 2017,
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    "country": "CL",
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        "title": "Provision 🏗️📃 - Ironclad for construction",
        "tagline": "Provision helps owners and constructors understand their commercial documents, collaborate with team members, and reduce risk, increasing profits by 5-10%. ",
        "body": "We’re Brendan and Luigi and we’re the co-founders of Provision.\n\n**Problem**\\\nThe construction industry spends $500B annually (\\~4% of market value) on issues stemming from document complexity. Documents are becoming longer, harder to read, and contain obligations that go unchecked eroding profitability. Currently, people use CTRL+F to navigate thousands of pages and Excel to extract information, often resulting in missed obligations, and unexpected costs.\n\n![uploaded image](/media/?type=post&id=65358&key=user_uploads/280788/8f4cc15a-b090-4ac2-a0d5-a9eee38cc0eb)\n\n\n**Need**\\\nConstruction professionals need to understand and manage all of the requirements held within these documents, because missing them means delays, budget overruns and even failed projects.\n\n**Enter Provision**\\\nProvision ingests contracts, specs and drawings, and gives users tools to manage risks, obligations and compliance.\n\n![uploaded image](/media/?type=post&id=65358&key=user_uploads/280788/edbcd4d6-2298-48c2-9025-edcd7959b3d4)\n\n\n**Backstory**\\\nBoth Luigi and Brendan worked in the construction industry for years before starting Provision. Brendan left the industry, and built two startups over a couple of years but always had aspirations to go back to construction. Luigi worked as a Director at an infrastructure developer for 6 years, where he saw even the most sophisticated constructors fail to understand their documents. We came together in December of 2021 through YC to build something impactful. \n\n![uploaded image](/media/?type=post&id=65358&key=user_uploads/280788/dc0bd0eb-5339-4efa-9159-cd50050156cb)\n\n\\\n**Ask**\\\nUpvote this post! :)\n\nAnd if anyone has any warm connections to GCs or subcontractors in North America who builds big projects (50M+), we would love an intro. [founders@getprovision.co](mailto:founders@getprovision.co)\n\nAlso, we’re hiring for Data Engineer and SWE roles. [careers@getprovision.co](mailto:careers@getprovision.co) \n\nFollow us on [LinkedIn](https://www.linkedin.com/company/86033411), and drop us a line if you want to chat.\n\nThanks!",
        "url": "https://www.ycombinator.com/launches/H0A-provision-ironclad-for-construction",
        "votes": 16,
        "created_at": "2022-08-14T15:53:59.802Z"
      }
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    "id": 27839,
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    "long_description": "Cosine is a fully agentic SWE that allows you to instantly work on every single ticket at once, asynchronously. ",
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    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/cosine-ai/",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 963616,
        "full_name": "Alistair Pullen",
        "title": "Founder",
        "founder_bio": "Full-stack Software Engineer with 15 years experience with deep applied knowledge of LLMs and Embeddings. Currently building an AI dev tool. Experienced an exit with Fancy (YC S20, acq. GoPuff).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alistair-pullen-616129226/",
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      {
        "user_id": 797223,
        "full_name": "Yang Li",
        "title": "Founder",
        "founder_bio": "1 IPO, 2 Acquisitions, 3 Unicorns.  Ex VP of Europe for Digital Currency Group's consumer arm, Luno. Launched Ziglu (acquired by Robinhood) and scaled to 100,000 customers in the first year. Previously Commercial Director for Mobike (acquired by Meituan) growing it to 220M MAUs until the $55B IPO. Yang is one of the 2021 Forbes 30 under 30 cohort.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yangli92/",
        "x_url": "https://twitter.com/yangli_",
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        "id": 85658,
        "title": "Software Engineer, Cloud Infrastructure",
        "url": "https://www.ycombinator.com/companies/cosine/jobs/NbfI6HD-software-engineer-cloud-infrastructure",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "£50 - £90 GBP",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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          "Python",
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          "Docker"
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      {
        "id": 85769,
        "title": "Senior Platform Engineer",
        "url": "https://www.ycombinator.com/companies/cosine/jobs/dUj3uLp-senior-platform-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
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        "equity_range": "",
        "experience": "3+ years",
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        "id": 85770,
        "title": "Senior Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/cosine/jobs/yBOX3vI-senior-infrastructure-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
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        "equity_range": "",
        "experience": "3+ years",
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        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/cosine/jobs/9KEolFw-product-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
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        "title": "Senior Developer Evangelist",
        "url": "https://www.ycombinator.com/companies/cosine/jobs/12jJ07r-senior-developer-evangelist",
        "location": "London, England, GB / Remote",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "£60K - £90K GBP",
        "equity_range": "0.10% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
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    ],
    "news": [
      {
        "title": "Move over, Devin: Cosine's Genie takes the AI coding crown | VentureBeat",
        "url": "https://venturebeat.com/programming-development/move-over-devin-cosines-genie-takes-the-ai-coding-crown/",
        "date": "Aug 12, 2024"
      }
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      {
        "id": 99817,
        "title": "Cosine 3.0  - one coding agent across every surface your team uses",
        "tagline": " (use your existing Claude, OpenAI, Copilot subscription)",
        "body": "\n![uploaded image](/media/?type=post&id=99817&key=user_uploads/797223/28afdae8-76ad-49c1-a761-3e89100fea74)\n\nTLDR: Cosine is built for the point where coding agents usually start to break down: longer tasks, multiple threads of work, team handoff, and code you still need to maintain later.\n\nPS. you can use your Claude Code, OpenAI and Copilot subscriptions (Don’t tell OpenCode or OpenClaw :P )\n\n```\nFor OpenAI and Copilot subscriptions:\nLaunch Cosine CLI \nCtrl+p and choose ChatGPT or Copilot subscription model \nYou'll get redirected to ChatGPT or Copilot website for auth\n\n_____\n\nFor Claude: \nMake sure you have a Claude Pro or Max subscription and have it installed on your local environment\n\nInstall the Cosine CLI — cosine.sh/cli (mac, windows and Linux supported)\n\nCtrl+p and choose the Claude Max Subscription (it works with both Claude pro and max)\n\nYour Claude Code subscription is recognised automatically — Cosine uses the actual Claude Code binary, so no API key needed\n\nRun cos in any repo — your Claude subscription quota is used directly, no extra Cosine billing for model usage)\n```\n\n<https://youtu.be/F61PCXvXd3Y>\n\n**More info:**\n\nIf you’re already deep into AI coding tools, you probably know the feeling:\n\nYou start with quick wins in terminal, then pretty soon you want the same speed on bigger tasks, across more than one thread of work, without losing track of what the agent is actually doing or ending up with code your team has to clean up later.\n\nThat’s basically why we built Cosine 3.0\n\nCosine is one coding agent across CLI, VS Code, desktop, and cloud. So you can start with a quick local task, pick it up somewhere else later, or spin up parallel agents when the job gets bigger, without hopping between separate tools or losing context.\n\nWhat we kept caring about as we built it was pretty simple:\n\nWe wanted something that still feels fast and direct, but gives you more visibility and more control once the work stops being a toy problem.\n\nSo you can inspect changes properly.\n\nSo you can follow what happened.\n\nSo you can undo things cleanly.\n\nSo you can run multiple threads of work when one agent is not enough.\n\nSo the whole thing still makes sense when other people on your team have to touch the code.\n\nA lot of tools feel great right up until you want them to do more than one thing, in more than one place, on code that actually matters.\n\nWe wanted to build the version that keeps working after that point.",
        "url": "https://www.ycombinator.com/launches/Pxx-cosine-3-0-one-coding-agent-across-every-surface-your-team-uses",
        "votes": 5,
        "created_at": "2026-04-16T15:03:34.648Z"
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    "name": "Onyx",
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    "long_description": "Onyx is the open source chat UI connected to your company’s docs, apps, and people. We ingest and sync from all sources of information (Google Drive, Slack, GitHub, Confluence, Salesforce, etc.) to provide a centralized place for users to ask about anything. Imagine your most knowledgeable co-workers, all-rolled into one, and available 24/7!\r\n\r\nCheck us out on Github: https://www.github.com/onyx-dot-app/onyx\r\nOr visit our website: https://www.onyx.app/",
    "one_liner": "Open Source AI Chat",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1704724705,
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    "status": "Acquired",
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    "regions": [
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    "country": "US",
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    "primary_partner": {
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      "url": "https://www.ycombinator.com/people/jared-friedman"
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        "user_id": 1493761,
        "full_name": "Yuhong Sun",
        "title": "Founder",
        "founder_bio": "Machine Learning and NLP, previously working on transformers architectures for NL-to-SQL and hybrid search at Alation, inc.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/yuhongsun",
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      {
        "user_id": 1493215,
        "full_name": "Chris Weaver",
        "title": "Founder",
        "founder_bio": "Building Onyx. In a past life: top-100 NA League of Legends player + TL at Robinhood.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/chris-weaver101",
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    "news": [
      {
        "title": "This Pitch Deck Landed AI Agent Startup Onyx a $10 Million Seed Round - Business Insider",
        "url": "https://www.businessinsider.com/pitch-deck-ai-agent-startup-onyx-seed-round-2025-3",
        "date": "Mar 18, 2025"
      },
      {
        "title": "Onyx Raises $10M To Help Teams Find Knowledge Faster with Open Source AI Agents",
        "url": "https://finance.yahoo.com/news/onyx-raises-10m-help-teams-165500715.html?guccounter=1",
        "date": "Mar 12, 2025"
      },
      {
        "title": "Why Onyx thinks its open source solution will win enterprise search | TechCrunch",
        "url": "https://techcrunch.com/2025/03/12/why-onyx-thinks-its-open-source-solution-will-win-enterprise-search/",
        "date": "Mar 12, 2025"
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      {
        "id": 77913,
        "title": "Onyx - Open Source Unified Search",
        "tagline": "Connect to all your team’s tools (like Confluence, Google Drive, Slack, Notion, etc.) for a single place to Search and Chat with your team’s documents",
        "body": "**TL;DR**: Imagine a secure ChatGPT with access to your team’s specific knowledge. As modern teams grow, knowledge becomes dispersed and hard to find. By giving Large Language Models access to parse your knowledge base, [Onyx](https://onyx.app/) can instantly filter through millions of documents to only surface what is relevant.\n\n**Try for Free Here:** [**https://cloud.onyx.app/**](https://cloud.onyx.app/)\n\n**Get Started On-Prem:** [**https://docs.onyx.app/quickstart**](https://docs.onyx.app/quickstart)\n\n![uploaded image](/media/?type=post&id=77913&key=user_uploads/1493761/4c37d5b8-5919-4dab-8d27-c2aa2af46a23)\n\nWe’ve seen teams use Onyx to improve efficiencies from:\n\n* Improving turnaround times for **support** by reducing the time taken to find relevant documentation.\n* Helping **sales teams** get customer context instantly by combing through calls and notes.\n* Preventing lost **engineering** time to answering cross-team questions, building duplicate features due to the inability to surface old tickets or code merges, and helping **on-call** resolve critical issues faster by providing the complete history of an error in one place\n* Self-serving **onboarding** for new members who don’t know where to find information.\n\n### Our Differentiation:\n\nOnyx is [open source](https://github.com/danswer-ai/danswer). You have complete transparency into what is going on with your team’s documents. The deployment of Onyx and your data are completely in your control (we do also offer a [Cloud](https://www.danswer.ai/) version if you prefer being hands-off). You can hook Onyx up with any LLM of your choice or one in-house if you prefer.\n\nOnyx uses the latest methods in information retrieval to make the most of the revolution that is happening in the natural language processing space. Specifically, we use prefix-aware embedding models trained with contrastive loss + BM25 Hybrid Search with reranking options and additional pipeline improvements such as query expansion etc.\n\nYou can also use Onyx to directly get answers in Slack (MS Teams, Discord to come). Many teams have been using this to auto-answer cross-team questions.\n\n![uploaded image](/media/?type=post&id=77913&key=user_uploads/1493761/6813b7f1-9fed-4778-9874-52de4a20bef2)\n\n### Our Ask/Offer:\n\nReach out to us if you’re interested in using Onyx, you can schedule a call with us on [Cal](https://cal.com/team/danswer/founders). Alternatively, you can join our Slack [here](https://join.slack.com/t/onyx-dot-app/shared_invite/zt-2sslpdbyq-iIbTaNIVPBw_i_4vrujLYQ) — we’d love to hear from you!\n\nWe’re already deployed at some outstanding teams and we’re looking to accelerate. If you’re open to closing a deal with us quickly, we can offer you some significant discounts.",
        "url": "https://www.ycombinator.com/launches/KGf-onyx-open-source-unified-search",
        "votes": 69,
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    "id": 30888,
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    "website": "https://lakonia.us.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Lakonia is building an AI-powered command and control platform for law enforcement and the military. Our AI transcribes radio communications, analyzes them, and then synthesizes information for commanders/dispatchers and operators to act on.",
    "one_liner": "Delivering AI-powered situational awareness in tactical environments.",
    "team_size": 2,
    "industry": "Government",
    "subindustry": "Government",
    "launched_at": 1762149553,
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    "batch": "Fall 2025",
    "status": "Active",
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    "stage": "Early",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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        "full_name": "Gordy Sun",
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        "founder_bio": "Stanford EE CS, Ex-Saronic SWE Intern, 8VC Fellow",
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        "title": "Lakonia: AI-Powered Tactical Command and Control Software",
        "tagline": "Lakonia is building the next generation of command and control software to enhance the operations of first responders, law enforcement, and the military.",
        "body": "Hi! We’re [Gordy](https://www.linkedin.com/in/gordysun/) and [Justin](https://www.linkedin.com/in/justin2028/). We’re excited to publicly announce what we’ve been building at Lakonia.\n\n**TL;DR:** Lakonia’s AI Command and Control platform acts as a tactical assistant by listening to radio communications and using AI to automatically extract key intel, map units, and recommend actions. We give first-responder, law enforcement, and military teams the situational awareness they need to make better, faster decisions.\n\nhttps://www.youtube.com/watch?v=DrVPw4CVzxU\n\n# **The Problem:**\n\nPolice and military command and control technology is terribly archaic and outdated. Commanders in a central post rely almost entirely on fragmented radio chatter to understand complex situations, forcing them to build a mental picture from scratch on every incident/situation. And current software is woefully outdated - unintelligent and unintuitive.\n\n![uploaded image](/media/?type=post&id=95135&key=user_uploads/2944902/726ea501-6ff8-446d-9b30-a7fc9a3028fd)\n\nThese issues only get exacerbated during multi-agency operations, where different departments (like SFPD and CHP), military branches, or even allied forces cannot communicate seamlessly. Communication siloes, different cultures of radio etiquette, chains of command, etc. all make command and control even more difficult.\n\nAnd while at times this is just a daily annoyance, when it’s a matter of life or death, these communication breakdowns become **fatal**.\n\n# **Lakonia’s Solution:**\n\nOlympus is an **intelligent, real-time co-pilot** that plugs into existing radio networks, transforming chaotic voice chatter into a **clear, actionable operational picture.**\n\nOur AI engine works in real time by:\n\n**- Transcribing and diarizing** every transmission to identify who said what\n\n**- Parsing transmissions** to analyze and automatically tag critical information - for example, pinpointing addresses on a map, logging license plates, and identifying calls for backup\n\n**- Highlighting** the most urgent events and suggesting relevant next steps, **turning raw audio into structured intelligence**\n\n![uploaded image](/media/?type=post&id=95135&key=user_uploads/2944902/c78d42a9-f060-4024-a5e8-aac1466ad28d)\n\n![uploaded image](/media/?type=post&id=95135&key=user_uploads/2944902/4275d0a3-6853-4605-a15d-494eb39b5657)\n\n![uploaded image](/media/?type=post&id=95135&key=user_uploads/2944902/23e29921-35dc-449d-aa21-ea8880019c80)\n\nWe’ve also built a **mobile “Pip-boy” platform** for operators to access so that they can also be aware of what’s going on aside from their radio. This dual approach dramatically reduces the cognitive load on personnel at every level, empowering teams to make faster, smarter, and safer decisions when it matters most. \n\n![uploaded image](/media/?type=post&id=95135&key=user_uploads/2944902/5f679af9-289c-4cfb-80f3-fc8ba440b2e0)\n\nFor dispatchers and commanders, our software means less time spent clarifying details or trying to keep track of officer availability and statuses. For operators in the field, our software means less time waiting for dispatch to respond and better situational awareness in tactical environments.\n\nWe built Olympus with a deliberate focus on security, performance, and scalability. We rely on **no third party APIs**, allowing us to even operate in denied environments through mobile platforms. We are at FedRamp and CJIS-equivalent levels of compliance, utilizing AWS GovCloud for services. All the models we use are open-source models we fine-tuned ourselves.\n\nThis modular foundation allows us to rapidly integrate new capabilities. Our future roadmap includes advanced features like live drone feeds, computer vision analysis, and real-time language translation.\n\n# **About Us:**\n\nWe’re two Stanford engineering students who left after our freshman year to go build the tools that our public safety and military teams deserve. In designing and building our platform, we were heavily inspired by RTS video games we’ve played as intuitive interfaces for delivering critical information to players. We wondered why law enforcement and the military don’t have similar tools and decided to go build them ourselves.\n\n![uploaded image](/media/?type=post&id=95135&key=user_uploads/2944902/353cbfd1-d5fd-42e6-9d2d-5abbe867d7bc)\n\n# **Our Ask:**\n\nWe are looking for introductions to innovative leaders in public safety and defense who want to utilize our platform.\n\nOur ideal contacts are decision-makers (e.g., Chiefs, Sheriffs, Commanding Officers, Heads of Security) in:\n\n* Law Enforcement (Municipal Police, Sheriff's Offices, Transit/Campus Police)\n* Military (Infantry, Artillery, Armor, National Guard, Special Operations units)\n* Emergency Services (Fire, EMS)\n* Private Security (Corporate campuses, large venues, critical infrastructure)",
        "url": "https://www.ycombinator.com/launches/OkR-lakonia-ai-powered-tactical-command-and-control-software",
        "votes": 82,
        "created_at": "2025-11-03T20:09:53.018Z"
      }
    ]
  }
]