Nicolas Camara
CTO & Co-Founder at Firecrawl
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolNicolas Camara is a serial founder and hands-on CTO with 7 years building AI-powered products and data-extraction infrastructure used by companies like Amazon, Zapier, and Nvidia. He co-founded Mendable (YC S22) where he helped scale an LLM-powered search platform serving millions of queries and enterprise customers such as Coinbase and Snap. At Firecrawl he leads engineering for web-scale data extraction and contributed open-source tooling that feeds context-aware agents and document loaders used in the LangChain ecosystem. Nicolas spans full-stack development to real-time systems and UX, demonstrated by his work on an AI “deep research” agent that streams and reasons over large web datasets. Fluent in Portuguese, English, and Spanish, he pairs rapid product iteration with developer community growth (e.g., FlutterBricks and the 50k-strong FlutterGuide). He combines startup execution grit with a research-minded approach to AI tooling and integrations.
7 years of coding experience
3 years of employment as a software developer
S22, S22 at Y CombinatorHigh School, High School at Escola do FuturoBachelor's degree Computer Science, Bachelor's degree Computer Science at University of New Hampshire
English, Portuguese, Spanish
Github Skills (16)
typescript10
javascript10
nextjs10
typescripts10
front-end-development10
ai-agent10
react10
typescript-types10
apidoc9
openai-api9
api9
zod8
documentation8
webscraping8
framer-motion7
Programming languages (8)
Github contributions (5)
nickscamara/open-deep-research
Feb 2025 - Feb 2025
An open source deep research clone. AI Agent that reasons large amounts of web data extracted with Firecrawl
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:1 release, 5 reviews, 13 PRs in 19 days
Contributions summary:Nicolas contributed significantly to the development of an AI-powered deep research clone. Their work includes implementing the "deepResearch" tool, which integrates search, extraction, and analysis functionalities. They also focused on real-time data streaming for research activities and user interface components like the deep research button, further indicating a full-stack approach. Their contributions show a focus on enhancing the AI agent's reasoning capabilities and user experience.
langchain-ai/langchainjs
Feb 2023 - Mar 2023
🦜🔗 Build context-aware reasoning applications 🦜🔗
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:1 review, 5 commits, 20 PRs in 18 days
Contributions summary:Nicolas primarily focused on frontend development, specifically updating and enhancing the `SearchBar` component within the documentation section. These updates included adding features like `showSimpleSearch`, `isPinnable`, and `messageSettings` to improve the user experience. Additionally, the user contributed to a new Firecrawl Document Loader, demonstrating backend and integration work. The user also contributed to a new Firecrawl document loader, and related documentation updates.
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