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0b82149b97eb0326d0e5f230a03a0092d9f9c93d
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root 0b82149b97 Add mood scanner and surprise me features to discover page 
Add mood_energy and mood_valence sliders that inject mood context into
AI recommendation prompts. Add "Surprise Me" button that generates
recommendations from a creative, unexpected angle without requiring
any user input. Includes backend endpoints, schema updates, and
full frontend UI integration.
2026-03-31 18:31:35 -05:00
backend
Add mood scanner and surprise me features to discover page
2026-03-31 18:31:35 -05:00
frontend
Add mood scanner and surprise me features to discover page
2026-03-31 18:31:35 -05:00
.gitignore
Initial MVP: full-stack music discovery app
2026-03-30 15:53:39 -05:00
ARCHITECTURE.md
Revise architecture doc to reflect actual data pipeline (Spotify audio features + LLM)
2026-03-30 16:09:13 -05:00
backup.sh
Add production deployment config, Alembic migration, switch to Haiku
2026-03-30 21:40:16 -05:00
Caddyfile
Add production deployment config, Alembic migration, switch to Haiku
2026-03-30 21:40:16 -05:00
CLAUDE.md
Set deepcutsai.com as production domain
2026-03-30 21:59:58 -05:00
deploy.sh
Set deepcutsai.com as production domain
2026-03-30 21:59:58 -05:00
DESIGN.md
Initial MVP: full-stack music discovery app
2026-03-30 15:53:39 -05:00
docker-compose.prod.yml
Add production deployment config, Alembic migration, switch to Haiku
2026-03-30 21:40:16 -05:00
docker-compose.yml
Fix Docker Compose: add PYTHONPATH for Alembic, use port 8100, fix Vite proxy for container networking
2026-03-30 23:06:52 -05:00
FEATURES.pdf
Remove Listen page, tighten Bandcamp matching to 75%+ artist similarity
2026-03-31 00:10:15 -05:00
LAUNCH_CHECKLIST.md
Add launch checklist with accounts, legal, and infrastructure steps
2026-03-30 22:06:13 -05:00
LOCAL_SETUP.md
Add local dev setup guide and .env, fix defaults for local development
2026-03-30 22:08:39 -05:00
ROADMAP.md
Add feature roadmap prioritized by impact and effort
2026-03-31 18:15:10 -05:00
Description
AI Music Discovery App
760 KiB
Languages
TypeScript 67.5%
Python 29.9%
CSS 0.7%
HTML 0.5%
Mako 0.5%
Other 0.9%