What is Tuneglue?
Tuneglue is a music discovery and recommendation platform designed to help users find new artists and songs to enjoy based on their listening history and favorites. It works by analyzing a user's music taste and preferences to identify patterns and connections between different artists, albums, and tracks.
After connecting Tuneglue to your streaming music accounts like Spotify or Apple Music, it studies your recently played tracks, saved albums and artists, and created playlists. It uses advanced machine learning algorithms to find similarities between different musical elements like melody, tempo, vocals, instruments, and more.
Tuneglue then suggests new artists, albums, or tracks you may enjoy based on what you already like. The more you use Tuneglue and the more data it collects on your preferences, the better and more tailored the recommendations become over time. Users can also help train the platform by marking recommendations as likes or dislikes.
Key features include a personalized recommendation feed updated daily, advanced machine learning and data science technology, social integration to see what friends and followers are listening to, and a platform-agnostic design that works across streaming services. Tuneglue is available as a web platform and mobile app.