Discover new music and connect with like-minded individuals based on your musical tastes, browse profiles of users with similar interests, and explore shared playlists.
Tastebuds is an online music community that recommends new music based on your existing music library. The platform uses advanced machine learning algorithms to analyze your music tastes and suggest similar artists and songs that you may enjoy.
Here's how it works: You connect your music streaming service like Spotify or Apple Music to your Tastebuds account. Tastebuds then scans your music collection and listens history to get a sense of your preferences. It looks for patterns in the genres, eras, artists, and songs you listen to in order to map your unique music taste profile.
Tastebuds then matches you with other users who have a similar music taste. You can browse their profiles to check out their favorite artists and publicly shared playlists. Whenever you find a user or playlist that aligns with your music style, you can follow them to get ongoing music recommendations tailored to your tastes.
A key benefit of Tastebuds is music discovery. The platform is constantly analyzing the music graph to surface new artists that are connected to music you already love. So you'll regularly get recommended songs and albums to check out from rising acts. This allows you to keep expanding your music library with relevant new tunes and supporting independent artists.
Beyond the algorithm, Tastebuds also has discussion forums and event listings so you can talk about music and meet up at concerts with like-minded music fans. If music is your passion, Tastebuds offers a whole community of people on the same wavelength.
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