I use the gpoddersync plugin on nextcloud for exactly this

I’m not sure! :)

But I did notice that your discussion has a reply from a couple weeks ago

Cool! I was just thinking about putting something like this together.

I’ll check it out today!

Nice! Looks like a cool matrix platform! I’m on synapse myself but this looks cool

Yeah I agree, it seems like a super nice hole to fill as sourcing music, ebooks and audio books from Usenet or torrents without being in a private tracker club is trickier than it should be

I mean, you only search one arr service depending on the media type.

I guess here I was more thinking about having audio books and ebooks with the same title across two separate instances of readarr.

If it’s already in your library, it shows when you search for it so not much figuring out

Yeah that is true, not so much a benefit but does help that all media types are manageable from the same dashboard

The “manual” action is pressing “Add”, which i assume you’d need to do with this too?

A reference to The benefit of having a recommendation engine auto add stuff for you. But I guess lots of the arr programs also have list imports but I’d prefer to not to depend on an external service for that sort of thing.

I think I’m confused as to what problem this actually solves?

I’m realizing now that in my excitement I have done a very poor job of describing the scope of this project, and would like to recommend that you visit the repo and check it out yourself:

https://github.com/MediaWolfOrg/MediaWolf

Here’s is a snippet from the project pages that does a much better job of describing it than I did (apologies again for my poor description)

Proposed Project Features: Books (Readarr & Anna’s Archive)

✅ Missing List → Read from Readarr, fetch missing books and auto-download via Anna’s Archive ✅ Manual Search → Search Anna’s Archive and download books (user selection and defined file structure) ✅ Recommendations → Generate book suggestions based on Readarr library (using a background tasks to scrape from Goodreads) - with options to add or dismiss suggestions including filters and sorting Movies (Radarr & TMDB)

✅ Recommendations → Read Radarr library and suggest similar movies via TMDB (with options to add or dismiss suggestions including filters and sorting) ✅ Manual Search → Search via TMDB with option to add to Radarr TV Shows (Sonarr & TMDB)

✅ Recommendations → Read Sonarr library and suggest similar shows via TMDB (with options to add or dismiss suggestions including filters and sorting) ✅ Manual Search → Search via TMDB with option to add to Sonarr Music (Lidarr, LastFM, yt-dlp, Spotify)

✅ Manual Search → Search Spotify for music and download via spotDL (which uses yt-dlp) ✅ Recommendations → Generate artist recommendations from LastFM based on Lidarr library (with options to add or dismiss suggestions including filters and sorting) ✅ Missing List → Read Lidarr library, fetch missing albums and download via yt-dlp Downloads (via yt-dlp)

✅ Direct Download Page → Input YouTube or Spotify link and download video/audio using spotDL or yt-dlp Subscriptions (via spotdl and yt-dlp) ✅ Schedule System → Subscribe to YouTube Channels, Spotify or YouTube Playlists and download on a schedule

Ive just installed jellyseer last week and I love it!

I think the scope of this project is more ambitious with the additional media types as well as being a recommendation engine and an arr suite manager

Thats a cool project as well! I dont think there’s very much overlap in functionality between the two

Here’s the rundown from the repo:

Proposed Project Features:

Books (Readarr & Anna’s Archive)

✅ Missing List → Read from Readarr, fetch missing books and auto-download via Anna’s Archive ✅ Manual Search → Search Anna’s Archive and download books (user selection and defined file structure) ✅ Recommendations → Generate book suggestions based on Readarr library (using a background tasks to scrape from Goodreads) - with options to add or dismiss suggestions including filters and sorting

Movies (Radarr & TMDB)

✅ Recommendations → Read Radarr library and suggest similar movies via TMDB (with options to add or dismiss suggestions including filters and sorting) ✅ Manual Search → Search via TMDB with option to add to Radarr

TV Shows (Sonarr & TMDB)

✅ Recommendations → Read Sonarr library and suggest similar shows via TMDB (with options to add or dismiss suggestions including filters and sorting) ✅ Manual Search → Search via TMDB with option to add to Sonarr

Music (Lidarr, LastFM, yt-dlp, Spotify)

✅ Manual Search → Search Spotify for music and download via spotDL (which uses yt-dlp) ✅ Recommendations → Generate artist recommendations from LastFM based on Lidarr library (with options to add or dismiss suggestions including filters and sorting) ✅ Missing List → Read Lidarr library, fetch missing albums and download via yt-dlp

Downloads (via yt-dlp)

✅ Direct Download Page → Input YouTube or Spotify link and download video/audio using spotDL or yt-dlp

Subscriptions (via spotdl and yt-dlp)

✅ Schedule System → Subscribe to YouTube Channels, Spotify or YouTube Playlists and download on a schedule

Woah nice heads up I appreciate it!

I’ll keep the janitor tool in my pocket for now as my instance takes up negligible space at the moment but someday that might not be the case.

Here’s the referenced tool for anybody else interested:

https://git.cyberia.club/cyberia/matrix-synapse-diskspace-janitor

What are you using instead? I only recently set up my synapse server and I’d be interested to head what the alternatives are

Ah this is so exciting!

Discord ‘existing’ has held back development motivation on Foss Federated Communication alternatives.

When they go public only good things will happen for projects like matrix :)

I’m very excited!

Neat!

What’s your pillow brand?

My AIO is very fast on mid hardware

The “reasoning” models and the image generation models are not the same technology and shouldn’t be compared against the same baseline.

https://ibb.co/wVNsn5H

https://ibb.co/HpK5G5Pp

https://ibb.co/sp1wGMFb

https://ibb.co/4wyKhkRH

https://ibb.co/WpBTZPRm

https://ibb.co/0yP73j6G

Note that my tests were via groq and the r1 70B distilled llama variant (the 2nd smartest version afaik)

Edit 1:

Incidentally… I propositioned a coworker to answer the same question. This is the summarized conversation I had:

Me: “Hey Billy, can you answer a question? in under 3 seconds answer my following question”

Billy: “sure”

Me: “How many As are in abracadabra 3.2.1”

Billy: “4” (answered in less than 3 seconds)

Me: “nope”

I’m gonna poll the office and see how many people get it right with the same opportunity the ai had.

Edit 2: The second coworker said “6” in about 5 seconds

Edit 3: Third coworker said 4, in 3 seconds

Edit 4: I asked two more people and one of them got it right… But I’m 60% sure she heard me asking the previous employee, but if she didnt we’re at 1/5

In probably done with this game for the day.

I’m pretty flabbergasted with the results of my very unscientific experiment, but now I can say (with a mountain of anecdotal juice) that with letter counting, R1 70b is wildly faster and more accurate than humans .

Yes it can

Non thinking prediction models can’t count the r’s in strawberry due to the nature of tokenization.

However openai o1 and deep seek r1 can both reliably do it correctly

Hi Michael, Ive made a bug report on your github covering my issue.

I should clarify its not your code causing me issues, Ive quite enjoyed filestash as a base.

The problem has consistently been the office doc viewing integration. Onlyoffice did not reliably allow me to share documents without issue, and the new collaborra integration isn’t functional using the default docker compose.

Do you happen to have a docker compose script on hand that allows for multiple different office doc integrations that I can swap between in /admin?

That way when one stops working I can use an alternative?