The problem

Your books app is too approximate.

Hardcover and paperback collapse into one entry. Can't find THAT short story? Want to know what to read after THAT book you loved? If these frustrations are yours, you're in the right place.

Data Model

The same book, correctly told apart.

A hardcover and a paperback aren't different books — they're different Editions of the same Work. Bookends tracks Work, Edition, and Containment as distinct concepts, so every printing, translation, and anthology appearance stays correctly attributed instead of collapsing into one generic entry.

"Pebble in the Sky" by Asimov → 6 editions tracked distinctly

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Six editions of the same Work, listed distinctly

Contribution & Moderation

Help us get every edition right.

Anyone can contribute a new work, edition, or correction to the catalogue. Contributions are checked for quality, not gated by rank — and as you contribute more, you earn trust over time, from your first correction to Trusted Contributor, and later to helping review others' work as a Moderator.

User → Trusted Contributor → Moderator → Admin

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Personal Collections

Track every edition your way.

Organize your library into collections, set a reading status per edition — not per book, since a hardcover and its paperback can each have their own status — and every re-read is tracked separately from your first read.

2 books read this year, 1 re-read tracked

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Search & Semantic Similarity

Find the book you mean, not just the words you typed.

Full-text and containment search find exact matches on titles, authors, and works nested inside anthologies. Natural-language semantic search goes further — it understands meaning, so conceptually related editions surface even when your query shares no exact keywords with their titles.

"robot detective novels" finds matches without those exact words in the title

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Screenshot of the Bookends search page with a natural-language query entered in the search field, ready to run against the catalogue. — Enter a natural-language query on Search

AI-driven suggestions

Similarity suggestions got smarter than ever.

We've upgraded our similarity suggestions to leverage semantic search, providing more relevant and context-aware recommendations for your reading journey.

See how semantic search enhances your reading experience.

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