Allow me to spread the word about ListenBrainz , the occasion being that ListenBrainz is about to hit 100.000 users.

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ListenBrainz is a FOSS project that aims to crowdsource listening data and release it under an open license. Basically it’s Last.fm but better. Whatever you use to listen to music, you can probably link it up with ListenBrainz. For instance you can connect Spotify, Apple Music, Soundcloud, Last.fm . You can link it up with loads of music players . If you’ve kept track of your what music you’ve listened to up to this point, don’t worry, there are several ways to import them into ListenBrainz.

All ListenBrainz listening data is available for all to use. This means that we don’t need to rely on big companies like Spotify for recommendation algorithms. We can use whatever algorithm suits us best. All sorts of other services could be build to make use of the ListenBrainz data set. The dataset can also help analyze other services’ algorithms, for instance the Fair MusE project uses LB-data and LB-users to investigate the fairness of different music service algorithms.

Obviously ListenBrainz initially suffered from being a comparatively small service, For good recommendations you need loads of data. But it’s growing every day and I feel like the 1 billion listens is an impressive milestone. And ListenBrainz has the advantage of having listening data from several services, Spotify could never recommend you music that’s not on Spotify. ListenBrainz, because it’s open, doesn’t have such inherent blindspots.

I am not working for ListenBrainz in any way, I just really like this project as well as MusicBrainz , and I like to spread the word. I think the aims of the ListenBrainz probably align with some Fediverse-folks. If you don’t care about the service itself, you could still link up to support FOSS music services, not only LB itself, but other services that are, can and will be built using LB’s data. If you use another service to store your own listening data, for instance Last.fm, you could use ListenBrainz as a backup for you data in case the other sevice ever enshittifies. Note: you shouldn’t sign up if you want your listening data to be private, that’s not what LB is for. I care very much about privacy, but in the case of LB I consciously choose to share my music listening data with others for my own benefit.

Curious to hear peoples thought on all this.

P.S. I have posted about LB over a year ago. I don’t intend to spam this service, but i feel like it could be useful for folks on here, and I think most of you folks would support the spreading of FOSS. And LBs usercount rising from 36k january last year to 100k now seemed like a good celebratory occasion to spread the love once more.

  • AnchoriteMagus@lemmy.world
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    4 hours ago

    Meta said at the outset that they were fully transparent.

    Pass on further delegating my brain to a machine.

    • Njos2SQEZtPVRhH@piefed.socialOP
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      4 hours ago

      MetaBrainz is a non-profit dedicated to open-source and open-data. So if people don’t like the algorithms LB has integrated, they can just build their own.

      About not delegating your brain to machines, that’s a fair point, and I would encourage people to consciously choose where to use machines and where to use their brain. If you enjoy searching for music, it would be foolish to delegate it to a machine. For me personally though it’s usefull, using an algorith here allows me to spend energy on other things that are equally stimulating for my brain. I particularly like LBs ‘fresh releases’ feature, which gives you heads up about new releases by artists that you’ve listened to.