🚀 Why I Built Recall I built Recall out of a deep curiosity for modern search systems — especially semantic search — and a desire to fully understand the moving parts of a production-grade stack. From database modeling and content scraping to embeddings, workers, and fast indexing, I wanted to build something that not only works but scales intelligently. This project was my hands-on way of learning, refining, and pushing the boundaries of what a personal knowledge tool could look like. 💡 What’s New and Unique About Recall Most bookmarking or note-taking tools focus on storing links — Recall goes further. Just paste a URL, and we auto-scrape and store the actual content for you. But the magic is in the search: Recall lets you find anything using keyword search, semantic understanding, or even a hybrid of both. The result? Lightning-fast and context-aware results, even across thousands of entries. No plugins, no lag — just immediate recall (pun intended) of what matters. 🏆 What I’m Most Proud Of I’m proud that this isn’t just a “project” — it’s a complete, scalable, and blazing-fast system built from the ground up. I didn’t rely on a dozen no-code tools or bloated frameworks. I rolled up my sleeves and built a tool I actually use daily. Every piece of it — from scraping to embedding to searching — is optimized to make knowledge retrieval feel seamless and instant.

Recall

Never forget what you read. Smart bookmarks with AI recall

Never forget what you read. Smart bookmarks with AI recall