Obligatory follow-up

badger badger badger badger

🍄🍄

Spotted the fellow millennial

Ah, well you see the explanation for that is pure ignorance. I’ve only ever used handbrake myself and was trying to help another friend who apparently uses makeMKV wrong or something or is bad at explaining to me xD

Sure, but that takes a lot of time and effort when you have a complicated stack, so it’s nice to be able to handle it in two clicks instead of setting up an entire encode queue while cross referencing all my metadata so I get episodes mapped right. Often a series session will take me upward of 30 minutes to set up an encode queue manually. With Discarr, it takes me 30 seconds

Edit: this came out of many attempts to create a single script that could post-process torrents, unpacking archives or converting disk images dynamically. The trouble is that dvd formatting for series follows no standards whatsoever, and really requires a human to map the titles. Discarr automates everything except that, and surfaces the title and episode queues side-by-side to allow quick identification and assignment

Sonarr/Radarr occasionally grab disk rips as they’re the only format available for certain titles, but they can’t be directly imported without conversion. This fills that gap cleanly.

So noted, I’ll get a disclaimer up there ASAP

Edit: and just for clarity, there’s no LLM tooling in discarr at all

Lolol if you’ve got bugs to throw at me, I’ve got my flyswatter ready

But for real I’ve got a lot of projects that could use beta testers if you want to poke around my Forgejo: https://git.opensourcesolarpunk.com/explore/repos

Edit: also I was already adding alternative profiles, I just forgot about remuxes. And pushes…

Added in 0.2.0

Happy to add remux support! I’ll get it on my backlog. Probably should have some kind of configurable output profile rather than just HEVC or remux

“it’s not working” posed as a question

Ah well the trouble is software patents can cost upwards of 5 figures, so yeah if I start making money I might do that, but it’s definitely not within my capacity for now, thus public publishing for copyright establishment

And thereby lock it away from the underserved communities that need it most? Naw. Open source publishing is the way forward for a truly egalitarian system, which is what I’m aiming for

Yup. Already working on a suite of local pipeline apps and an orchestration platform for this. Happy to share if interested! Source

The pricing question assumes the current model (cloud inference, centralized compute, hyperscaler margins) is the only model.

Local inference flips that math entirely. If the model runs on your hardware, the marginal cost to the provider is close to zero. The pricing problem is a distribution problem, not a compute problem.

What I think actually happens: cloud AI settles at $20-50/month for power users who need the latest frontier models and don’t want to manage hardware. That’s sustainable. The “free tier” disappears or gets severely throttled.

But for a large chunk of use cases (summarization, classification, drafting, local assistants) models small enough to run on a consumer GPU are already good enough. That market doesn’t need to pay $50/month to Anthropic. It needs a good local runner and a one-time hardware investment.

The companies that will survive the pricing correction are the ones who either have genuinely differentiated frontier capability, or who make local deployment easy enough that users own their own stack.