I'm building a lightweight screen recorder for macOS. It supports lots of features you'd expect from a professional screen recorder such as ProRes 422/4444, HEVC/H.265, and H.264, capturing alpha channels and supports HDR. Frame rates from 24 to 120fps. Can capture system audio and mic simultaneously. You can also exclude specific things from recordings, like the menu bar, dock, or wallpaper.
No tracking, no analytics, no cloud uploads, no account. MIT licensed. Everything stays on your Mac. Still early, but happy to hear feedback!
Recently came across this website after watching this https://www.youtube.com/watch?v=EpxSaOiT2LE. Seems like a cool hobby to try for when I'm finally replaced by AI. I knew about the sling from movies but I didn't know this is actually a thing to do. Very impressed how far you can sling something with it (477m/1564feet). Sharing this in case someone is on the hunt for a new cool hobby.
It's a lightweight screen recorder for macOS that lives in your menu bar. It's built with SwiftUI and ScreenCaptureKit, uses the native Content Picker to select what you record, and supports ProRes 422/4444, HEVC, and H.264 — including alpha channel and HDR. Frame rates from 24 to 120fps. System audio and mic simultaneously. You can also exclude specific things from recordings, like the menu bar, dock, or wallpaper.
No tracking, no analytics, no cloud uploads, no account. MIT licensed. Everything stays on your Mac.
Anthropic released Cowork a few days ago. I tried it for a few minutes and it was unusable for me. It crashed several times and felt very buggy. What I liked was the idea of the productivity plugin. I set up my own version of it that is agent agnostic and can be easily customized. Here are the main ideas and a link to a template to fork.
I had similar thoughts recently. I wouldn't consider myself "the thinker", but I simply missed learning by failure. You almost don't fail anymore using AI. If something fails, it feels like it's not your fault but the AI messed up. Sometimes I even get angry at the AI for failing, not at myself. I don't have a solution either, but I came up with a guideline on when and how to use AI that has helped me to still enjoy learning. I'm not trying to advertise my blog and you don't need to read it, the important part is the diagram at the end of "Learning & Failure": https://sattlerjoshua.com/writing/2026-02-01-thoughts-on-ai-.... In summary, when something is important and long-term, I heavily invest into understanding and use an approach that maximizes understanding over speed. Not sure if you can translate it 100% to your situation but maybe it helps to have some kind of guideline, when to spend more time thinking instead of directly using and AI to get to the solution.
Some years ago, I was at a conference and attended a very interesting talk. I don't remember the title of the talk, but what stuck with me was: "It's no longer the big beating the small, but the fast beating the slow". This talk was before all the AI hype. Working at a big company myself, I think this has never been more true. I think the question is, how to stay fast.
And, to add to that, how to know when to slow down. Also, having worked at a big company myself, I think the question shifts towards "how to get fast" without compromising security, compliance etc.
Great story, thanks for sharing. Besides the part where it says "Other people will see its glory and join their smaller snowballs into it.", it sounds a bit like marriage too.
