[-] aquantumofdonuts@lemmy.world 4 points 3 months ago

Haha no worries! It's a useful feature. No reason to lock the subscription engine behind a Lidarr connection.

But I think I will rest for a while now lol.

[-] aquantumofdonuts@lemmy.world 5 points 3 months ago* (last edited 3 months ago)

I pushed an update that adds a "review only" mode, with Lidarr no longer being a required connection.

https://github.com/aquantumofdonuts/mixarr/releases/tag/v1.1.1

Add any Subscription and set the result handling to "add to review queue". Then, just look in the Review Queue tab for your recommendations.

[-] aquantumofdonuts@lemmy.world 3 points 3 months ago

I appreciate the positive feedback, hope you find it useful

[-] aquantumofdonuts@lemmy.world 22 points 3 months ago* (last edited 3 months ago)

I think the link is fixed now?

I will definitely take the Jellyfin suggestion to heart. Mixarr is Plex-centric because that's what I use, but I see that Jellyfin has a large share as well. Thanks for the suggestion!

Edit: Added Jellyfin support. Four new subscription types in the "My Library" subscription preset group. You can pull and rebuild docker (or pull the latest image) to get the changes.

[-] aquantumofdonuts@lemmy.world 3 points 3 months ago

Awesome, thank you. Hope you like it.

[-] aquantumofdonuts@lemmy.world 3 points 3 months ago

The Discover feature is pretty much identical to what Lidify does. The distinguishing feature is the Subscriptions though. Like automated Lidify.

[-] aquantumofdonuts@lemmy.world 6 points 3 months ago

Nope, LLM is not a requirement at all and is disabled by default.

[-] aquantumofdonuts@lemmy.world 3 points 3 months ago

Thanks! I will look into it. But as noted elsewhere, Qobuz is already indirectly supported via Last.fm or ListenBrainz scrobbling.

[-] aquantumofdonuts@lemmy.world 24 points 3 months ago

I completely understand. Just one minor feature though, and it's entirely optional. The real meat is in the "subscriptions", which rely on more steadfast services like Last.fm and Spotify.

[-] aquantumofdonuts@lemmy.world 8 points 3 months ago

Thank you. Link is fixed.

[-] aquantumofdonuts@lemmy.world 11 points 3 months ago* (last edited 3 months ago)

Awesome! I hope you like it. I've successfully converted my household from Spotify to Plexamp using this. Setup a few subscriptions, let the new artists and recommendations roll in, and you have a constant stream of new music.

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submitted 3 months ago* (last edited 2 months ago) by aquantumofdonuts@lemmy.world to c/selfhosted@lemmy.world

Hey everyone,

I'm new here! I wanted to share a music search and discovery tool for Lidarr. It plugs into Spotify, TIDAL, Deezer, Last.fm, MusicBrainz, Plex/Tautulli, Jellyfin, and even some AI recommendations.

GitHub: https://github.com/aquantumofdonuts/mixarr

Website: https://aquantumofdonuts.github.io/mixarr/

What it does:

  • Connects to Lidarr and analyzes your existing artists
  • Hooks into Spotify, TIDAL, Deezer, Last.fm, MusicBrainz, Plex/Tautulli, and AI services
  • Finds related/similar artists, new releases, charts, labels, playlists, etc.
  • Gives you a review queue to approve or dismiss discovered artists
  • Automatically adds approved artists to Lidarr with the profile you choose
  • Has a universal search and discovery interface across all services
  • Runs as a web app (Next.js frontend + Express backend) and plays nice with Docker

Why I built it:

I wanted one tool that I could point at my Lidarr library and get a steady stream of relevant artist recommendations.

Basically, make music discovery feel as automated and “infrastructure-y” as the rest of the *arr ecosystem.

Current status:

  • Working with Lidarr + Spotify/TIDAL/Deezer/Last.fm/MusicBrainz + Plex/Tautulli
  • Has subscriptions for different discovery sources (charts, playlists, related & followed artists, etc.)
  • Docker-compose setup available, plus local dev if you prefer
  • Early but usable; I’m actively using it myself and iterating

If you try it, I’d love to hear any feedback! Thanks!

EDIT: version 2.0 released today February 10, 2026, with some nice updates

view more: next ›

aquantumofdonuts

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