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Karan Sinha
Karan Sinha

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🌐 Want to reduce confusion about right database for you.

#programming #opensource #database #learning

🌐 Build the Wikipedia of Databases with Us – Introducing db.aolbeam.com

📁 Git-native, markdown-powered, and fully open-source.
💡 Help us make it easier for developers around the world to discover, compare, and learn about databases.

✨ What Is db.aolbeam.com?

db.aolbeam.com is a developer-focused, open-source directory of databases – think of it like Product Hunt meets Wikipedia, but for databases.

Whether you're choosing between Postgres and MongoDB, looking for high-throughput key-value stores, or want to explore options like Redis, CouchDB, or Fauna — our platform helps you make better decisions, faster.

🧠 Why We Built This

Too often, developers rely on outdated blog posts or biased marketing when picking a database. We wanted to create a space where:

  • Anyone can contribute unbiased, real-world knowledge
  • No external backend is required (every entry is just a markdown file!)
  • Open collaboration happens through GitHub — visible, forkable, and version-controlled
  • AI recommendations can help new developers or startups pick the right tools for their needs

🔥 What’s New?

1️⃣ Markdown-Powered Database Entries

We’ve moved away from storing content in Supabase. Instead:

  • Every database entry is a .md file like this: 
  ./src/database/[db-name]/[entry-name].md
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  • Comments, ratings, and updates will also live in these markdown files
  • Contributors just need to open a PR to add or improve data
  • Anyone can browse and use the data from GitHub – no UI or database needed!

2️⃣ AI-Powered DB Recommendation Tool (Coming Soon)

We’re working on an AI assistant that:

  • Accepts user input about their system architecture, load expectations, latency concerns, and data structure
  • Suggests the most suitable database types, scalability patterns, and configurations
  • Generates a strategic plan tailored to your needs

This will be super useful for founders, solo devs, and early-stage teams trying to make informed choices quickly.

🧑‍💻 How You Can Contribute - Connect with me

here

We welcome all kinds of contributions:

  • 💾 Add or update database entries
  • ✍️ Share performance notes, pros/cons, or implementation tips
  • 🛠 Improve the React + Vite frontend
  • 🧪 Help us build and test the AI recommender logic
  • ⭐ Or just star the repo and spread the word!

🚀 Tech Stack

  • Frontend: React, Vite, Tailwind CSS, shadcn-ui
  • Storage: GitHub + Markdown (no traditional DB!)
  • AI (coming soon): LLM + prompt engineering + DB pattern modeling
  • Infra: GitHub Actions + Vercel for deployment

🔗 Useful Links

🙌 Final Thoughts

This project started with a simple goal: make it easier for developers to choose the right database. But it's grown into something much more — a community-first, knowledge-rich platform that we hope you'll be part of.

If you’ve ever struggled picking the right DB or want to help others avoid that pain — join us!

👉 PRs welcome. Feedback welcome. Hype even more welcome.

#opensource #database #webdev #react #vite #aolbeam #ai #devcommunity

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