Mendable

Today we are starting our first ever Launch Week! 🔥 For this week, we’ll be releasing a new feature daily. We're saving the best for last so stay tuned 👀 Day 1 - Introducing Teams: Invite your co-workers to build with you in Firecrawl

Adding internal links to your blog has never been easier! I built an open source example using Firecrawl that: - Scrapes your entire website - Uses Claude to identify link opportunities - Puts it all into a CSV file for easy execution Link to notebook: https://lnkd.in/eN3rhhdz

Introducing the Firecrawl Go SDK 🔥 This addition joins our Python and JavaScript SDKs, expanding support to the Go ecosystem. Huge thanks to the community for making this happen!

AI Powered Website A/B Test Recommendations 🧪 Our friends at GrowthBook created WebLens, which analyzes websites & suggests testable changes.   It might recommend testing things like moving a button or simplifying navigation. Link to blog on how they built it: https://lnkd.in/gg8sHb_3

Firecrawl 🤝 Gamma

With OpenAI's new Structured Outputs update, GPT-4o can now reliably return structured JSON output 100% of the time. This is super exciting for all AI apps and especially Firecrawl! Watch it extract structured data from a web page!

Build a documentation chatbot using Firecrawl for web scraping and KDB.AI for vector storage and retrieval. ➡️ Firecrawl simplifies the web scraping process, allowing efficient extraction of relevant content from documentation websites. ➡️ KDB.AI provides powerful vector storage and querying capabilities, enabling context-aware searches through metadata filtering. ➡️ The integration of these tools with LlamaIndex creates a chatbot that can keep documentation up-to-date, understand query context, and provide relevant responses. Check out the tutorial: https://lnkd.in/gVj-4nb3

Introducing Fire Engine - The backend powering Firecrawl 🔥 It is the most scalable, reliable, and fast way to get web data. Compared to leading competitors: - It scrapes 40% more websites - It is up to 33.17% faster Read more in our official launch post 👇 https://lnkd.in/e9vD67kb

Want to see how startups are using Firecrawl to rapidly onboard customers? Check out this awesome blog post by Evan Boyle from Cortex Click 👇 Link to full blog post: https://lnkd.in/e4J9h7Va

Firecrawl (YC S22) is an all-in-one developer platform for crawling & scraping web data for AI applications. While founders Eric Ciarla, Caleb Peffer, and Nicolas Silberstein Camara were working on Mendable.ai, an early RAG platform used by companies like Coinbase, Snap, and MongoDB, they quickly realized that while web data was a valuable resource for AI, its quality was essential for success. Facing numerous challenges in building a reliable solution for various URLs, they found existing tools insufficient. They envisioned an API capable of crawling web pages, handling edge cases, and delivering up-to-date, user-friendly markdown. This led them to build Firecrawl. With Firecrawl, developers at companies like Amazon, Nvidia, and Zapier are delegating scraping to us so they can focus on their core tasks - be it RAG, agents, or data processing. It's an open source API that transforms any web data into a clean, LLM-ready format for RAG, agentic tasks, or training. Since launching in April, Firecrawl has already gained 8000 stars on GitHub ⭐️ 🚀 https://lnkd.in/gD9i3GPk