kapa.ai

Here's the three pieces of advice I shared to the new F24 Y Combinator batch in SF last week: 1) Every early customer is a "consulting project" - when trying to build a new category-defining product like kapa.ai we found that obsessing over early users reveals insights you'll never get from just "talking to customers". Shared Slack channels. Weekly follow-ups etc. Lots of reminders. 2) Don't just innovate on product - in applied AI, everyone's focused on keeping up with research and product. Those are tablestakes. We found innovating on how customers discover and implement new tools equally valuable as adopting AI tooling is new for everybody. 3) Find your reset ritual - YC is often called the "fastest and most intense period" for a company, but there are limits to how fast you can go without burning out. My co-founder Finn Bauer and I picked up tennis and it became our daily escape from the computer. Counter-intuitive, but helped us move faster. Thanks to the best group partner Diana Hu for having us back. And congrats to all the new YC founders! 🚀

Over 50% of the world's largest banks trust Hazelcast. And now they're using kapa.ai to power their developer experience. 🚀 Here's what they just shipped: - AI-powered docs assistant that instantly answers technical questions - Support for 160k+ lines of code and 600k+ words of technical content - Global search across ALL documentation sources - Multi-language support for their global developer community The best part? It's not just about finding answers faster. Their new AI assistant can: - Generate specific configuration examples - Review and debug code snippets - Combine knowledge from different sources - Help developers master complex features quickly Fun fact: Hazelcast's documentation is longer than "War and Peace" 📚 And now their developers can access all of that knowledge through a simple conversation. This is why we built kapa.ai - to help technical companies turn their existing knowledge into powerful AI experiences. Want to see it in action? Check out the docs in comments. 👇 #DeveloperExperience #AI #Documentation

They invested early in Reddit, Inc., Coinbase, and 25 other unicorns. And now we're super excited to partner with the Initialized Capital team incl. Brett Gibson who led our $3.2m seed round at kapa.ai. DM me if you want to join the ride (especially if you're in Copenhagen 👋 🇩🇰).

You can now Ask AI in our documentation 🔎 Thanks to @kapa_ai for the integration 💚

This made our week: two kapa.ai customers just got nominated for the 2024 DevPortal Awards! 🏆 Redpanda Data and Mapbox are up for their excellent developer documentation, including a focus on their "Ask AI" assistants on their docs, powered by kapa.ai. Huge congrats to both teams! 🚀

Here's the three pieces of advice I shared to the new F24 Y Combinator batch in SF last week: 1) Every early customer is a "consulting project" - when trying to build a new category-defining product like kapa.ai we found that obsessing over early users reveals insights you'll never get from just "talking to customers". Shared Slack channels. Weekly follow-ups etc. Lots of reminders. 2) Don't just innovate on product - in applied AI, everyone's focused on keeping up with research and product. Those are tablestakes. We found innovating on how customers discover and implement new tools equally valuable as adopting AI tooling is new for everybody. 3) Find your reset ritual - YC is often called the "fastest and most intense period" for a company, but there are limits to how fast you can go without burning out. My co-founder Finn Bauer and I picked up tennis and it became our daily escape from the computer. Counter-intuitive, but helped us move faster. Thanks to the best group partner Diana Hu for having us back. And congrats to all the new YC founders! 🚀

20% drop in new technical support tickets. That's just one of many impact metrics the smart folks at Mapbox are seeing from making kapa.ai-powered "Ask AI" assistants availble across their documentation, web application, support site, community Discord etc. Check it out on the Mapbox's website. 👋

We’re excited to announce our $3.2M seed round led by Initialized Capital, with Y Combinator and top AI investors including Douwe Kiela (ContextualAI, RAG Author), Amjad Masad (Replit), and Shyamal Hitesh Anadkat (OpenAI)! 🚀 kapa.ai turns your knowledge base into a reliable and production-ready LLM-powered AI assistant that answers technical questions instantly and helps improve your documentation. Our mission: Answer all technical product questions in the world. Here's what we've achieved: - 100+ leading companies trust kapa.ai, including Docker, OpenAI, and Monday.com - Real impact: 20% monthly reduction in support tickets for Mapbox, 28% cut in response times for CircleCI, supporting 13 million Docker users - Pushing boundaries in LLM evaluation and RAG for unparalleled accuracy in technical Q&A We're becoming world-class at LLM evaluation, incorporating customer feedback and usage patterns to continuously improve our systems. Our focus on rigorous AI evaluation ensures our solutions align with real-world technical support needs. "The kapa.ai team stands out for their thorough and novel evaluations of LLM-based question-answering systems... Their meticulous approach yields highly accurate answers, particularly in their domain focus of technical questions." - Douwe Kiela, Stanford Professor, Co-Author of RAG Paper & Founder of ContextualAI. Thank you to our amazing community – we couldn't have done this without you! And thank you to all of our investors: Diana Hu Brett Gibson Douwe Kiela Solomon Hykes Amjad Masad Michele Catasta Joseph Nelson Chinmay Barve Ulrik Stig Hansen Ulrik Binzer Shyamal Hitesh Anadkat Bob van Luijt. Link to full announcement in comments. 

"If it's a farm and we're all trying to have a really big harvest as a company, developers are the soil that enterprise infrastructure sales grow in." Tim Berglund (VP Dev Rel at Confluent) In this episode Tim shares a ton about what he's learned from 10+ years of developer education at places like GitHub, Confluent and StarTree. Tune in to the full podcast episode for more insights. Link in the comments.

Super excited to officially welcome Joseph (Joe) Soultanis to the kapa.ai engineering team! He brings his experience from Airbnb, Uber and startups to now helping more great companies become successful with kapa.ai by shipping improvements to the kapa platform and core AI/LLM pipeline. 🚀