Generates personalized music playlists on TIDAL based on custom criteria and listening history.
Tidal Custom Picks allows users to create highly personalized music playlists on TIDAL using natural language and their listening history. By leveraging large language models (LLMs), users can specify criteria such as genre, tempo, and release year to refine recommendations, going beyond standard algorithmic suggestions. The tool integrates with the TIDAL API to create, manage, and delete playlists directly from custom prompts, offering a tailored music discovery experience.
Key Features
01Direct playlist creation and management within TIDAL
02Supports natural language prompts for playlist generation
03Integration with TIDAL's API
04LLM-powered track filtering and curation
050 GitHub stars
06Personalized music recommendations based on custom criteria
Use Cases
01Generating playlists based on specific moods or activities
02Discovering new music similar to favorite tracks but with particular characteristics
03Automating playlist creation with context-aware preferences