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

Описание и применение

Linkit преобразует огромную коллекцию закладок в поисковую, суммарную и проверяемую базу знаний, улучшая воспоминание и уменьшая потерю ссылок.

Задача

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

Результат

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

Рабочий процесс

• 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

Доказательства

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.

Источник

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

Источник

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.

Источник