While listening to music in #Audirvana, a custom macro within @KeyboardMaestro scrobbles my listens to #LastFM , #ListenBrainz and a self-hosted #Koito instance.

When playing music from my web browser, it is detected and scrobbled to these sources by the #ListeningPost app from @actionsdotwork .

What remained was the rare occasion when I've already listened to something and somehow it didn't get scrobbled. As of today, #Soundiiz has added a scrobbling feature:

https://support.soundiiz.com/hc/en-us/articles/35699146765202-Scrobble-to-Last-fm-and-ListenBrainz-your-playlists-and-favorites

😎 Koito is awesome: 200,000+ scrobbles from 2006-present ingested into my Koito instance -- and it was a joy to deploy!
🔗 https://koito.io

#koito

Gracias a una publicación de @a conocí Koito --sí, horrible nombre--, una aplicación selfhosteable para llevar el registro (scrobbling) de la música que escuchas al estilo last.fm, y ya tengo mi propio servidor funcionando con historial desde el año 2014

👉🏻 https://koito.altgr.xyz

#Koito #Selfhosting #LastFM #Scrobbling

Seeing people talk about Spotify Wrapped reminded me that if you're running #Navidrome, you can collect your own data using #Koito and have in depth detailed listening stats all year round!

Example: https://koito.mnrva.dev

I found it easy to set up using Docker Compose (https://koito.io/guides/installation), generate an API key from within Koito, then I just added this parameter in Navidrome's Docker Compose pointing to Koito:
ND_LISTENBRAINZ_BASEURL=https://[server-IP]:[port]/apis/listenbrainz/1

After that, just turn on "Scrobble to ListenBrainz" in Navidrome's settings, add the API key, and you should be good to go: https://www.navidrome.org/docs/usage/scrobbling

https://companydata.tsujigawa.com/press-20240527-004/

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