Bookmark Lens
Local AI semantic search and auto-tagging for thousands of browser bookmarks
- Problem
- Users accumulate thousands of bookmarks over years, but finding one later means scrolling or guessing exact keywords, since browser search only matches title and URL. Someone explicitly wished for a fast bookmark sorter like Jev, but nothing good exists yet.
- Solution
- A browser extension that locally indexes bookmark titles, URLs and page snippets, supports natural-language queries (e.g. "that Rust error handling post from last week") and auto-categorizes results, with one-click open or cleanup.
- Users
- Heavy browser users, researchers and developers with 1,000+ bookmarks.
- MVP
- Import browser bookmarks; build local embedding index; natural-language search box; auto-tag by content type; batch cleanup and export.
- Revenue
- Free up to 500 indexed items; one-time purchase or subscription for unlimited indexing and advanced filters; team plan for shared bookmark libraries.
- Why now
- On-device small models are mature and browser extension APIs are stable, letting a solo dev ship a local-first privacy-safe tool without running servers.