Deepmark

Deepmark indexes the contents of saved bookmarks, videos, and social media saves, making them searchable by plain-language descriptions. It automatically syncs browser bookmarks, X bookmarks, Instagram saves, and YouTube Watch Later or Liked video...

Deepmark

About Deepmark

Deepmark is a knowledge base software that aggregates browser bookmarks, X bookmarks, Instagram saves, and YouTube Watch Later items into a single private library. It indexes the actual content of these saves by fetching pages, transcribing videos, and describing frames, allowing users to search their saved items using plain language.

Review

The tool addresses the fragmentation of saved content across multiple platforms by creating a unified index. It uses semantic search to locate items based on their internal content rather than just titles or URLs. This approach aims to make previously "lost" saves retrievable through natural language queries.

Key Features

  • Multi-source synchronization: Connects browser bookmarks, X bookmarks, Instagram saves, and YouTube Watch Later lists.
  • Content extraction: Fetches page text, takes screenshots, transcribes audio from videos, and performs OCR on video frames.
  • Semantic search: Embeds extracted content to allow searching via natural language descriptions (e.g., finding a reel about pasta without the word "pasta" in the title).
  • MCP Server: Hosted Model Context Protocol server allows AI agents like Claude to query your personal library directly.
  • Artifact storage: Stores original fetched artifacts separately from generated descriptions to allow for re-indexing without re-fetching.

Pricing and Value

Deepmark charges $10 per month or $84 per year. There is no free trial available, but a demo library exists for users to test search functionality before purchasing. The infrastructure runs on Cloudflare Workers and Neon Postgres, which supports the solo-founder build model.

Pros

  • Search results return in under 100ms for libraries up to 10,000 items.
  • Stored artifacts enable re-processing of existing items with improved models without re-downloading content.
  • AI agents can access the library via the hosted MCP server integration.
  • Privacy-focused design where social syncs run in the user's own browser context.

Cons

  • Browser bookmarks are indexed automatically with no option to exclude specific folders or domains yet.
  • Auth-gated content such as logged-in-only X threads or private Google Docs is not supported.
  • This tool is NOT well suited for users who need granular control over which specific bookmarks are processed immediately upon saving.

Deepmark suits professionals who save large volumes of diverse media and struggle to retrieve them later by title alone. Users comfortable with a flat indexing structure and willing to wait for new features like folder exclusions will find it functional. Those requiring immediate privacy controls over specific bookmarks may need to wait for upcoming updates.



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