Chrome extension that treats bookmarks as compressed intentions, not passive links. Imports your entire library, classifies into 17 content types, detects duplicates, scores health, clusters by theme, and reconstructs browsing sessions — all locally, no AI, no cloud. Seven-view UI with search, filters, and export. Your bookmarks are breadcrumbs. Aftermark helps you follow the trail.
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Maker
📌
Hey everyone! I built Aftermark because I had 8,383 bookmarks and no idea why I saved most of them.
Every bookmark was a moment where past-me thought "I'll come back to this." I never did. Aftermark reads your bookmark library and tells you what you were doing — what you were researching, what you were shopping for, what you abandoned halfway through.
Everything runs locally in your browser. No cloud, no account, no data leaving your machine. It classifies bookmarks into 17 content types, finds duplicates (including fuzzy near-duplicates), checks for dead links, scores each bookmark's health, and clusters your saves into browsing sessions and projects. There's even a personality analysis — turns out I'm a Developer/Researcher.
Right now it's pure local heuristics, no AI. Future milestones will add optional BYOK AI enrichment for summarization and intent inference, but the tool is genuinely useful today without any API key.
Built with TypeScript, Chrome MV3, IndexedDB, and esbuild. No frameworks. Open source under MIT.
I'd love to hear what Aftermark finds in your bookmarks.