I Built an Open-Source AI Tools Directory with 850+ Tools — Here's Why and How

📰 Dev.to AI

Learn how to build an open-source AI tools directory with 850+ curated tools using Next.js, Prisma, and Supabase

advanced Published 19 May 2026
Action Steps
  1. Build a web scraper to collect data on AI tools using Next.js
  2. Configure a database to store tool information using Prisma
  3. Implement real-time updates and trending charts using Supabase
  4. Design a user-friendly interface for the directory using cyberpunk-styled UI components
  5. Deploy the directory on GitHub and make it fully open-source
Who Needs to Know This

Developers and data scientists can benefit from this project by discovering new AI tools and staying up-to-date with the latest developments in the field. The directory's community features also enable collaboration and knowledge sharing among users

Key Insight

💡 Building a comprehensive AI tools directory requires a combination of web development, data management, and community engagement skills

Share This
🤖 Explore 850+ AI tools in one place! 🚀 Discover, compare, and stay up-to-date with the latest AI tools using this open-source directory 📈
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