Discover

Build a better next-book ask.

Pick your cluster, multi-select the taste signals that matter, add favorites or comps, then let FractaLit rank inside its curated catalog.

FractaLit recommendations come from a FractaLit-curated catalog. Open Library and Google Books help you find favorites and comps, but they do not directly generate the shortlist.

Subgenre (multi-select)

Choose the strongest subgenre signals first.

Tone / mood (multi-select)

Set the emotional and atmospheric texture you want.

Trope / include (multi-select)

Include the hooks you want the shortlist to lean toward.

Trope / avoid (multi-select)

Avoid tropes or patterns that usually miss for you.

Pacing / style (multi-select)

Choose the rhythm and style you want the recs to carry.

Favorites and comps

Add books or authors to give the ranking engine better taste anchors. Open Library appears first, Google Books second, and FractaLit's curated catalog fills in when external results are weak.

Nuance text

Optional. Use this to add edge conditions like "more gothic, less romance-heavy."

Add at least one strong signal such as a subgenre, tone, pacing choice, favorite, or nuance note before generating a shortlist.

Session state is restored automatically after your first run.

Privacy and cookies

FractaLit uses a visitor cookie to restore same-browser activity, captures product analytics when configured, and only stores your email if you attach it to a saved list. See the privacy page for details.