Fairmark

A bookmark manager that admits when it doesn't know.

Type
App
Status
Live
Year
2026
Tags
AIReadingBookmarks
Try Fairmark
Reading log
Reading log
Summary
Honest summary view
Clusters
Cluster proposals
§ Brief

Fairmark started as a complaint about reading-list debt. We had thousands of saved articles and no system for re-encountering them.

Most read-it-later apps pretend to summarize. They confidently flatten a 9,000-word essay into three bullets and you never know what was lost. Fairmark takes the opposite approach: it tells you exactly which sections it summarized, which it skipped, and where it's guessing.

§ AI use
  • Anthropic Claude handles section-level summarization with explicit coverage tags.
  • Embeddings cluster reading logs; the user approves or rejects clusters.
§ Results
  • 1,200+ active readers in private beta
  • Average summary coverage: 73%
§ Limitations
  • Doesn't yet handle PDFs cleanly
  • No mobile app