I built a local-first bookmark manager that actually remembers what you saved

Description and use

Linkit turns a large, unstructured bookmark collection into a searchable, summarized, and health-checked knowledge base, improving recall and reducing link rot.

Problem

Users save many links but rarely revisit them because browser bookmarks only store URLs, lacking searchable metadata, summaries, duplicate detection, or health checks.

Outcome

Linkit transforms a large, unstructured bookmark collection into a searchable, summarized, and health-checked knowledge base, improving recall and reducing link rot.

Workflow

• Add a link to Linkit
• Linkit fetches the page and generates an AI summary and key takeaways
• The link is indexed for semantic search using vector embeddings
• Duplicate URLs and near-duplicates are detected and can be merged
• Background health checks identify 404s or changed pages
• Users search or browse the knowledge graph to find relevant links
• Optional Supabase sync keeps data across devices

Evidence

Browser bookmarks store a URL and nothing else. There's no way to search by what you actually remember, no way to skim a link without opening it, and no way to notice that three of your saved links are the same article.

Source

All bookmarks live in a local SQLite database on your machine. No account required, works fully offline, no telemetry, no third-party data sharing.

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If you want multi-device sync, there's an optional Supabase backend with row-level security where every record is bound to your own auth.uid() — including the developers can't read your data.

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