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Building a Clone of OpenAI's Deep Research with TypeScript and Firecrawl

Blog post from Firecrawl

Post Details
Company
Date Published
Author
Bex Tuychiev
Word Count
3,297
Language
English
Hacker News Points
-
Summary

Open Deep Research is a self-hostable, cost-effective alternative to OpenAI's Deep Research, offering AI-driven research capabilities through real-time web scraping and advanced language models. By utilizing some paid services, such as Firecrawl and OpenAI's models, the core application remains open source and customizable. The system combines a Next.js framework for both client and server-side operations, Tailwind CSS for rapid, utility-first design, and an AI SDK for seamless integration of AI models, which facilitate real-time chat interactions and complex research tasks. The backend relies on Postgres for structured data storage and Vercel Blob for binary content, while NextAuth.js manages authentication. Firecrawl enhances the platform by enabling web search and scraping, essential for the application's deep research capabilities. The application's architecture ensures scalability and modularity, promoting user interaction through a smooth, responsive interface, while maintaining high performance and accessibility standards.