antialias/haunt-fm

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Thomas Hallock 7ff69449d6 Initial haunt-fm implementation

Full music recommendation pipeline: listening history capture via webhook,
Last.fm candidate discovery, iTunes preview download, CLAP audio embeddings
(512-dim), pgvector cosine similarity recommendations, playlist generation
with known/new track interleaving, and Music Assistant playback via HA.

Includes: FastAPI app, SQLAlchemy models, Alembic migrations, Docker Compose
with pgvector/pg17, status dashboard, and all API endpoints.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-02-22 08:36:36 -06:00

Initial haunt-fm implementation

2026-02-22 08:36:36 -06:00

Initial haunt-fm implementation

2026-02-22 08:36:36 -06:00

Initial haunt-fm implementation

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.env.example

Initial haunt-fm implementation

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.gitignore

Initial commit

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alembic.ini

Initial haunt-fm implementation

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CLAUDE.md

Initial haunt-fm implementation

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docker-compose.yml

Initial haunt-fm implementation

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Dockerfile

Initial haunt-fm implementation

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pyproject.toml

Initial haunt-fm implementation

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README.md

Initial commit

2026-02-22 14:04:01 +00:00

README.md

haunt-fm

Personal music recommendation service — captures listening history, discovers similar tracks via Last.fm, embeds audio with CLAP, generates playlists