claw-ideas/ideas/media-entertainment/music-discovery-pipeline.md

Music Discovery Pipeline

Use listening history and taste signals to discover new artists and tracks that match your profile without repeating obvious recommendations.

Problem

Streaming recommendations often circle familiar content, limiting genuine discovery.

Core capabilities

• Ingest listening history from Last.fm or Spotify.
• Build a taste profile from genres, eras, and track features.
• Recommend similar but unexplored artists with confidence score.
• Generate themed playlists for focus, workouts, or relaxed sessions.

MVP scope

• Import history from one service.
• Weekly discovery list with skip/save feedback loop.
• Playlist export to chosen music platform.

Success criteria

• Increased number of newly liked artists per month.
• Better diversity in listening patterns.

Stretch ideas

• Event-aware recommendations based on nearby concerts.
• Cross-language discovery with translation-aware metadata.