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Tinder for Music
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- 1-10 people
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Swiing careers
The only music app powered by your friends and A.I.
Users are presented with a feed of songs recommended by their friends, followed by the top 200 filtered by their favorite genre. Users swipe to like, dislike, or re-share song clips shown to them. Liked songs can be exported to traditional streaming platforms. Swiing allows for a more streamlined way for people to find songs they actually like, among the sea of amazing new music released every day.
Swiing facilitates a larger volume of peer-to-peer music recommendations, by giving users social currency for good recommendations. Swiing plans to expand the concept of incentivizing recommendations to different forms of digital media.
Users are presented with a feed of songs recommended by their friends, followed by the top 200 filtered by their favorite genre. Users swipe to like, dislike, or re-share song clips shown to them. Liked songs can be exported to traditional streaming platforms. Swiing allows for a more streamlined way for people to find songs they actually like, among the sea of amazing new music released every day.
Swiing facilitates a larger volume of peer-to-peer music recommendations, by giving users social currency for good recommendations. Swiing plans to expand the concept of incentivizing recommendations to different forms of digital media.
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Anish Jain
Sebastian Peralta
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