Hacker Newsnew | past | comments | ask | show | jobs | submitlogin
Show HN: Tuned.ws – AI growth strategist for Spotify/Apple Music artists (demo) (tuned.ws)
1 point by stackws 12 hours ago | hide | past | favorite | discuss
Tuned.ws is a desktop app and a web app, I’m building to turn raw artist data into an “AI growth strategist” for musicians.

Instead of logging into multiple dashboards and spreadsheets, you export your data (Spotify for Artists, Apple Music, etc.), drop the CSVs into Tuned.ws, and then chat with an AI that actually understands your numbers. It can surface trends, suggest release/marketing moves, and explain why certain tracks or cities are performing the way they are.

Demo video: https://tuned.ws/demo

Right now Tuned.ws can: • Ingest platform CSV exports (starting with Spotify + Apple Music) • Auto-build a dashboard with top tracks, cities, and trends • Let you ask free-form questions about your data in a chat (“Why did this track spike?”, “Where should I focus ad spend?”) • Generate strategy-style insights in plain language for non-technical artists/managers

It’s still in beta and focused on solo artists/indie teams. I’d love feedback from HN on: • Where the insights feel useful vs. generic • What data sources you’d expect next (TikTok, IG, YouTube, radio, etc.) • Any obvious “this will never scale because X” concerns

Happy to answer technical/product questions in the comments.





Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: