Search your bookmarks by what's inside them, not the title
Your browser bookmarks, X bookmarks, Instagram saves and YouTube Watch Later, in one private library you can search in plain language. Deepmark reads every page, transcribes videos and reels, describes and OCRs frames, then embeds it all. 'The reel with the one-pan pasta trick' finds the reel even though nothing in it says pasta. A save is searchable in about 90 seconds; search over 10k items returns in under 100ms. Also a hosted MCP server: your AI agent can search your library too.
Hey Product Hunt! I built Deepmark because I kept losing things I'd deliberately saved. Not forgotten: saved. A thread about pricing, a reel with a cooking trick, a talk someone linked me. Four apps, four lists, and none of them searchable together, because a bookmark is a URL and a title and nothing else.
Deepmark indexes what's actually inside a save. Pages get fetched and read. Videos and reels get transcribed. A few frames per video get described and OCR'd, and every page gets a screenshot that gets described the way you'd remember seeing it. Then it's all embedded and searchable in plain language, so 'the reel with the one-pan pasta trick' finds the reel even though nothing in it is called pasta.
Sources: browser bookmarks (automatic), X bookmarks, Instagram saves, YouTube Watch Later and Liked. The social syncs run in your own browser as you, through each site's own endpoints. The extension never sees a password, and every source past browser bookmarks is off until you switch it on.
There's also a hosted MCP server with OAuth, so Claude or any MCP client can search your library ("what was that article I saved about pricing?").
The two numbers I actually trust: a saved reel is searchable in about 90 seconds, and search over a 10k-item library comes back in under 100ms.
It's $10/mo or $84/yr, no trial, but there's a demo library you can search without paying.
Happy to go deep on any of it, the media extraction was the interesting part. What would you want it to do that it doesn't?
About Deepmark on Product Hunt
“Search your bookmarks by what's inside them, not the title”
Deepmark launched on Product Hunt on August 18th, 2026 and earned 105 upvotes and 16 comments, placing #15 on the daily leaderboard. Your browser bookmarks, X bookmarks, Instagram saves and YouTube Watch Later, in one private library you can search in plain language. Deepmark reads every page, transcribes videos and reels, describes and OCRs frames, then embeds it all. 'The reel with the one-pan pasta trick' finds the reel even though nothing in it says pasta. A save is searchable in about 90 seconds; search over 10k items returns in under 100ms. Also a hosted MCP server: your AI agent can search your library too.
On the analytics side, Deepmark competes within Chrome Extensions, Productivity and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Deepmark performed against the three products that launched closest to it on the same day.
Who hunted Deepmark?
Deepmark was hunted by Shafu. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Deepmark including community comment highlights and product details, visit the product overview.
Shafu