Show HN: I rebuilt the "similar movies/TV shows" algorithm on TasteFinder
TasteFinder is a movie/TV discovery tool that uses a rebuilt similarity algorithm matching multiple signals (tone, pacing, narrative structure, themes, audience patterns) beyond simple genre overlap to provide better "similar to this" recommendations.
I posted TasteFinder here before - it's a movie/TV discovery tool where you rate titles with Tinder-style swipes ( / / ) to train recommendations.
One thing people kept asking for was better “similar to this” results. So I recently rewrote that part of the system.
The new similarity algorithm tries to match titles across multiple signals instead of just genre overlap. Things like: - tone / vibe - pacing - narrative structure - themes - audience preference patterns
The goal is simple: when you search for movies or shows similar to something you love, the results should actually feel close, not just share a genre tag.
Example use case: You finish a show you liked and want something with a similar atmosphere — not just “another sci-fi”.
If you're curious how well it works: https://tastefinder.io
I’d really appreciate feedback on the similar titles results specifically. If you find cases where they’re great or completely wrong, that’s especially useful.