co-founder @kapa_ai (yc s23). on a mission to make all complex technical products easy to use. trusted by @grafana @reddit @openai @siliconlabs and 200 others

Joined December 2010
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3 Oct 2024
And we're live! Check out the @TechCrunch article here: techcrunch.com/2024/10/03/ho… :)
We're thrilled to announce that @kapa_ai has raised $3.2M in seed funding from @ycombinator @Initialized and top angels incl. @douwekiela. 🚀 Our mission: turn technical conent into AI assistants that instantly answer complex product questions. We are already helping 100 companies like @Docker, @OpenAI, and @mondaydotcom. Excited to keep pushing the boundaries of applied RAG/LLMs to optimize for accurate, production-ready systems. Full @TechCrunch article here: techcrunch.com/2024/10/03/ho…
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Jun 11
Today we're launching Kapa for Agents: all your product knowledge, in one tool call. As models get smarter ... and pricier ... (looking at you Claude Fable), context is becoming the bottleneck. Here's why: Say you've built an agent in your SaaS app with some tools. Then a user asks "How do I enable SSO?" but you haven't given the agent a tool to fix that. It doesn't matter how smart your agent is, it hits a dead end. Instead, with Kapa, you can add easily add a single knowledge search tool so your agent can read your docs, code, tickets. Real-world agents use this in 40% of interactions to improve planning and avoid dead ends. TL;DR: we spent 3 years building the best agentic retrieval platform that: → Finds the right source ~2x more often than web search or a DIY RAG pipeline → Tells you what your agent couldn't answer, and exactly how to close the gap → Connects 30 sources in one click, synced in real time so knowledge doesn't go stale → Works with any agent: product copilot, support agent, or Claude Code Teams like @tweetsbyport, @airbytehq, @circleci and @matillion are already using Kapa's Retrieval MCP and API to build in-product copilots, support agents, RFP tools and coding assistants. ... and today, its available to everyone at kapa [.] ai / agents.
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Emil retweeted
Thanks Kapa! We're just getting started and doc chat is no longer a worry holding us back :)
TanStack is one of the fastest-growing JS frameworks in the world. 375M weekly downloads. Used by teams like Anthropic. Tons of new launches like TanStack AI SDK And now their docs have a grounded AI agent powered by @kapa_ai. Why? Because @tan_stack ships. The docs change constantly. The product evolves constantly. And if developers - or AI coding agents - are not reading the latest docs, they get left behind. That leads to outdated answers, poor implementations, and a lot of wasted time. So the TanStack team needed an AI assistant that could: → Index thousands of docs pages in real time → Give answers grounded in official sources → Cite where the answer came from → Say “I don’t know” when the docs don’t support an answer → Help the team spot gaps in their documentation through analytics That’s now live. Huge credit to Anton Malling from kapa team and @tannerlinsley for the awesome deployment. We're just getting started!
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TanStack is one of the fastest-growing JS frameworks in the world. 375M weekly downloads. Used by teams like Anthropic. Tons of new launches like TanStack AI SDK And now their docs have a grounded AI agent powered by @kapa_ai. Why? Because @tan_stack ships. The docs change constantly. The product evolves constantly. And if developers - or AI coding agents - are not reading the latest docs, they get left behind. That leads to outdated answers, poor implementations, and a lot of wasted time. So the TanStack team needed an AI assistant that could: → Index thousands of docs pages in real time → Give answers grounded in official sources → Cite where the answer came from → Say “I don’t know” when the docs don’t support an answer → Help the team spot gaps in their documentation through analytics That’s now live. Huge credit to Anton Malling from kapa team and @tannerlinsley for the awesome deployment. We're just getting started!
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Emil retweeted
the cost of shipping code went to zero taste didn't but "taste" sounds mystical and unfixable, so nobody teaches it. here's the unmystical version: taste is just an eval you haven't written down yet how you choose what to measure is what matters 1/8
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Emil retweeted
Here's our friends at @kapa_ai going in-depth on why you don't want to just throw your images (and documents in general) into a multimodal model and be done with it. Especially for RAG systems. "Raw images added 27% to per-query cost on GPT and 51% on Claude."
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Apr 30
user of @harnessio just spotted new kapa feature in the wild 👀
One of the rare AI search @kapa_ai on docs that I truly loved on @harnessio , I browsed through some docs manually but was not sure if there are any exposed variables that I was not aware of, so kept browsing, then found the AI search feature and tried the deep research and it legit got me the (I think) which are all the ways to acheieve this going through 20 sources.
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Apr 27
Yesterday was the most stressful day of my life. I ran straight to the nearest restaurant, jumped on a table, and shouted the most important words I'd ever shouted: "kapa NOW SUPPORTS SCIM PROVISIONING!" The closest waiter frantically responded "But Emil, what does that mean?" I then calmly explained that it means every Kapa customer can automatically provision and deprovision users through their identity provider. "Oh, so like if I use Okta, and I hire an employee, they automatically have a Kapa account?" "Yes!" I said to the surprisingly technical waiter. Then, I stepped down, paid for everyone's meal, and set up a @kapa_ai assistant for the restaurant, just in case they ever launched an API portal and technical docs. Did this happen? It could have. But we DID actually launch SCIM provisioning, and you should really check it out. Link is below. Now, back to my stress-free week.
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Apr 24
Startup goal: design a product so good, it's just as good at answering questions as our customer success leader, and faster too 😂 (shoutout Simon, who is always around if you want to talk to a human about your @kapa_ai assistant)
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Apr 21
Yesterday was the most stressful day of my life. I ran straight to the nearest restaurant, jumped on a table, and shouted the most important words I'd ever shouted: "kapa NOW SUPPORTS SCIM PROVISIONING!" The closest waiter frantically responded "But Emil, what does that mean?" I then calmly explained that it means every Kapa customer can automatically provision and deprovision users through their identity provider. "Oh, so like if I use Okta, and I hire an employee, they automatically have a Kapa account?" "Yes!" I said to the surprisingly technical waiter. Then, I stepped down, paid for everyone's meal, and set up a @kapa_ai assistant for the restaurant, just in case they ever launched an API portal and technical docs. Did this happen? It could have. But we DID actually launch SCIM provisioning, and you should really check it out. Link is below. Now, back to my stress-free week.
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Apr 14
You've probably noticed every app looks like this now. Let me explain why, and why chat isn't the real breakthrough. Chat was the natural first interface for LLMs. Easy for AI to understand, easy for users to interact with. So, naturally, as ChatGPT / Anthropic / etc crossed billions in revenue and hundreds of millions of users, most other apps followed suit. Even our experience is chat-first. 200 customers with hundreds of millions of users, all asking techical product questions through AI chat. But what they really wanted was the outcome! Think about it. No one logs into Salesforce to use Salesforce...they log in to grow their business. We saw the same usage pattern across Kapa. Chats like "How do I integrate Google Drive?" are actually asking "Can you integrate my Google Drive instance for me?" This is where the puck is heading, and why companies like PostHog, Linear, and Notion are following in Claude / ChatGPT's footsteps. Believe it or not, building this infrastructure is brutal. To achieve this, you must focus on what happens after the chat request. Harness engineering, real-time RAG, orchestration, user-scoped auth, PII handling... But that's the user unlock. An in-product assistant. They don't have to leave, and the assistant has access to your docs, their tools, and knows how to navigate both. That's what the @kapa_ai Agent Framework finally does. The Kapa Agent Framework. Give it your tools and actions, connect one auth endpoint, and your users get a full in-product agent. Port, Matillion, and Medusa already use kapa as part of their product agents, and we're onboarding more Kapa customers every day.
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Apr 13
I'm extremely proud to announce our partnership with the Cloud Native Computing Foundation ( @CNCF ). Just as proud to announce our donation of @kapa_ai to any CNCF project. If you're not aware of the CNCF, you're surely aware of the projects it supports. Kubernetes, Prometheus, Envoy...all open-source, all maintained by the CNCF. This foundation spun out of the Linux foundation in 2015, and It is arguably the most influential open-source foundation in modern infrastructure. We ❤️ open-source, too. Kapa already powers the AI docs experience for huge projects like Opentelemetry, OpenFGA, and Envoy Gateway. That's why this partnership is so huge. It expands access for any non-commercial CNCF project. If your project is part of the CNCF, you can apply for free access directly through the CNCF Service Desk. There's a guide below. You'll get free access to the only CNCF-approved AI docs assistant. A lot of smart people agree it's a helpful AI assistant, and our customers like OpenAI, Silicon Labs, and Nokia would say the same. We're proud to be the only docs AI assistant approved by the CNCF. Hit the link below to learn more, and long open-source!
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we've spent 3 years making sure AI can answer hard technical questions without hallucinating. 200 companies trust us for this - Grafana, OpenAI, Nokia, Monday. last november, tool calling took a leap. we saw the opening: go beyond chat. we spent months with 40 customers watching them try to build in-product agents from scratch. same story every time: months of infra, ship a v1 without evals, nobody maintains it, new harness drops. they all fall behind. so we solved it. you can now give @kapa_ai your tools and actions, connect one auth endpoint, and ship a real in-product agent.
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Mar 20
Lots of companies deploying really, really bad and unhelpful AI agents. Meanwhile, Logitech quietly launches an AI assistant that's 99% accurate. A year later, tickets per unit sold are down 10%, help center content grew 30%, and sales starts using it to answer technical questions on calls. When AI works, people actually use it. When it doesn't, trust evaporates.
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Mar 19
"We need to clean up our docs before we launch the AI assistant." This is the easiest way to waste 6-12 months. And I say that as a huge proponent of clean docs. AI has gotten so good, if you point it at your docs, it tells you exactly what to fix. That's because users will tell you. They'll talk to the AI, and the AI will surface questions it can't answer. You'll learn more from a day of user questions than a year of "improving the docs." Trust me. Companies don't improve docs and add AI. They add AI, and that improves their docs.
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