…you have bigger problems

I've used a HP EliteDesk 800 G4 SFF (with an i5-8500) as a NAS/home server for several years now. It's quiet, power efficient, has space for 2 HDDs plus additional nvme slots and regular PCI-e slots. These type of machines are cheap to get on eBay, I highly recommend getting one.

I wonder if there would be a perf increase on the Mac minis if they ran OrbStack instead of Docker?

You can achieve something similar using vlc + slop on Linux, here's the script I usually use (I run i3 typically).

    selection=$(slop -f %w,%h,%x,%y)
    width=$(echo "${selection}" | cut -d , -f 1)
    height=$(echo "${selection}" | cut -d , -f 2)
    top=$(echo "${selection}" | cut -d , -f 4)
    left=$(echo "${selection}" | cut -d , -f 3)

    cvlc --no-video-deco --no-embedded-video --screen-fps=20 --screen-top=$top --screen-left=$left --screen-width=$width --screen-height=$height screen:// &

Then "just" share the VLC window instead of your desktop.

Brings to mind the infamous comment about Dropbox: https://news.ycombinator.com/item?id=9224

EDIT: As noted below by @cole-k, the situations aren't the same, because the parent comment here is talking about approximating DeskPad-like functionality on a platform not (currently) supported by DeskPad.

I feel this is a little unfair to the parent as they are offering a solution for an unsupported platform.

Point taken; I edited my comment.

Important caveat: "Apple MacBook Pro with Intel chip was used in tests that met all requirements specified in this section". What I really want to see is performance evaluations between current generation x86 Linux, x86 Windows, and ARM macOS.

My experience as well. While I’d love a proper go to source approach, chatGPT nails most of the issues I run into with SwiftUI.

Ah yes, this footgun. Sometime last year I discovered our QA databases had all been locked with a ransom demand, how were they exposed? We had `ufw` blocking the db port?! Ah yes, Docker -p. smh.

Give us money or were keeping your test data

Fly.io is really good.

I've been working on a small Go program to do this specifically for the lofi hip hop beats youtube stream (file here: https://git.sr.ht/~asimpson/lofibar/tree/exec-ffmpeg/item/ma...). You can pretty easily parse the Youtube page to get the HLS stream and pass that to ffmpeg. No need to even have the overhead of another browser tab then.

P.S. also if anyone knows how to statically compile ffmpeg or libvlc into go I'd love to know :)

Nice.

I hadn't seen systray before. That's cool, too.

you forgot this: /s