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Spotify bolsters its music discovery with expanded Fresh Finds playlists

Spotify bolsters its music discovery with expanded Fresh Finds playlists


The service will now offer weekly suggestions for up-and-coming hits across five genres

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This morning Spotify rolled out another way for users to discover new music. It's called Fresh Finds, and it's the official launch of a feature that has actually been on the platform since last year, but wasn't heavily promoted or prominently featured until today.

Fresh finds is a weekly playlist of tracks that Spotify's algorithms have identified as rising stars, songs which are trending upwards in popularity but have not yet found mainstream success. The songs are identified using natural language processing algorithms that crawl the web, reading blogs and reviews, as well as analyzing the listening patterns of Spotify users the service has identified as trendsetters. The technology was developed by The Echo Nest, a Boston startup acquired by Spotify in 2014 which has become an integral part of the team and technology behind music recommendation and discovery on Spotify.

Fresh Finds is the polar opposite of Discover Weekly, another feature created by an Echo Nest alumni. Discover weekly relies on playlist data from Spotify to generate its suggestions, and each set of tracks is personalized for the individual user. Fresh Finds, by contrast, reaches beyond Spotify to the open web to generate its playlists and isn't personalized at all.

Spotify trio
Fresh Finds creator Brian Whitman (at right).

With the launch today, however, Spotify has refined the product to give it broader appeal. Before today Fresh Finds was a mishmash of genres. The algorithms focused on finding hot new tracks, regardless of the style of music, making it most interesting for users with a broad palate not afraid to experiment with new sounds. That original list will continue to exist — it has nearly 100,000 subscribers — but there are also five new categories of Fresh Finds focused on hip hop, electronica, pop, guitar, and experimental ambient sounds.

A more refined approach to surfacing new tracks

At this point every major streaming service offers users curated and personalized recommendations. But there is no other service that employs natural language processing across the web to generate its suggested listening. That unique approach to discovery may explain why Spotify, despite its lack of big name exclusives, continues to grow at an increasingly rapid pace, even in the face of an ever more crowded and competitive marketplace.

As streaming services like Apple and Tidal recruit established artists for exclusives on their platform, Brian Whitman, co-founder of The Echo Nest and brains behind Fresh Finds, hopes his algorithms will eventually help Spotify source the best new acts. "Fresh Finds is an amazing tool we use internally for things like artist relations," he told The Verge last September. "We have nothing to announce right now, but I think in the future you’ll see more about how we can use these predictive algorithms to make sure these artists come to Spotify."