Many users struggle to discover new music that matches their mood or preferences. An AI-powered recommendation engine could analyze user behavior and suggest tracks, playlists, or artists accordingly. Musicians and podcasters would pay for enhanced visibility through personalized recommendations, leading to more plays and followers. The smallest version could be a browser extension that recommends tracks based on user listening history. The biggest risk is that users may not trust AI recommendations over their own.
musicaipersonalization
Enhancing SoundCloud's user experience with AI recommendations
Build an AI-driven tool that recommends tracks based on user mood. Creators and listeners will benefit from enhanced music discovery.
Why now
With SoundCloud trending, there's a clear demand for better personalization in music apps.
- Who for
- music app users and creators
- Business model
- subscription model for premium recommendations
- Effort
- A few months
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