A platform that provides personalized music recommendations to users based on their listening history and preferences. It aims to offer a unique and engaging music discovery experience, increasing user retention and driv
Built for speed. Engineered for scale.
No hidden fees. Cancel anytime.
Primary experience for customers is in the browser. Operators may still use the Streamlit workspace in src/ when applicable.
Local / appliance / download: use the desktop launchers shipped with your bundle — run_windows.bat and run_macos.sh — to run the Streamlit shell.
Built for teams that need signal, not noise.
Plans for every growth stage.