| https://unheard.fm I was tired of repeat, sponsored, and "safe" music suggestions from Spotify, so I built a discovery engine that puts the control back in the user's hands. The core idea is simple: You define a "Discovery Model" with explicit constraints (specific genres, release years, track popularity, etc.). The app then uses this blueprint to source tracks. The results are fresh for two reasons: - "Known" Track filtering: Excludes all songs saved in your library and recent listening history. - Active Curation: Uses your custom model, not a vague, opaque algorithm. It’s built with a local-first mentality and a focus on privacy. No black-box AI "vibe" mixes, just pure, objective discovery based on your criteria. Hope ya'll find some new gems! |
A "discovery algorithm" that I used (works great for jazz) consisted on looking up which musicians played on an album that I liked on discogs and searching for more albums from them.