I am also a huge Discogs fan and unheard.fm actually leverages their APIs to aid with discovery ;)
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.
Itβs 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!
Hey HN,My name is Max. After a sabbatical from the corporate world, I turned a passion project into a full web app: Unheard.FM.What is it?Unheard.FM is a music discovery web app for Spotify that selects tracks based on your direct preferences instead of listening habits, and provides fresh results by excluding your "known" tracks. (No paid sponsors here.)Why did I build this? A few reasons...1....