design engineering and interaction design; i mostly draw rectangles and make them move; grind algorithms to entertain myself

this way
Since a bunch of new folks just followed me, let me share one of my hobbies: I collect old PC hardware, specifically from around 2000. And I have almost all of it lol. Who’s up for a livestream where I design a site in legit Flash? cc: @WebDesignMuseum
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The most technical, yet somehow the most joyful side quest I’m on right now:
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brain function collapse retweeted
every app needs at least one thing you can fidget with
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who wants a reading? looking for beta testers for my new app combining astrology and investing 👁️🔮👁️
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The "whiteboard defense:" I should be able to pull you aside at any moment and ask you to explain any customer-facing system you've shipped. You should be able to clearly explain how it works and defend the decisions you made. This is my benchmark for responsible AI usage. I don't expect line-level familiarity with the code. I don't care if you remember the exact function name or implementation detail. You may not even know it. I don't care. But if I ask "why did you do X instead of Y?", "what happens if this actor behaves maliciously?", "what data structure did you use here and why?", or "where does this fail?" you should be able to answer confidently. For PoCs, demos, experiments, whatever: I don't care. Generate 100% of it and understand none of it. Speed over quality every time in those specific scenarios. But if you're shipping customer-facing work, you can't be shipping things you don't understand at a high level.
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working on something very simple for soon.day
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Since a bunch of new folks just followed me, let me share one of my hobbies: I collect old PC hardware, specifically from around 2000. And I have almost all of it lol. Who’s up for a livestream where I design a site in legit Flash? cc: @WebDesignMuseum
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You’ll see what it meant to be a design engineer – ahem, a WEBMASTER – in Y2K. We can also unbox some ridiculously cool old tech together: factory-sealed IBM hardware, rare software, maybe a few Voodoo accelerators, and more.
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This is NOT Jev. Open source. Runs on your laptop. Decides in ~27 ms, about 200× faster than waiting on a hosted LLM. Here it is playing Tetris by itself 👇 brainfunctioncollapse.com/la…
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It’s funny to live in a world where you have enough disposable income to collect old video games, then burn through a boatload of tokens building a state-of-the-art 3D reconstruction algorithm… just so you can scan your collectibles and make your little interactive museum.
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~1 mm accurate 3D reconstruction from just three iPhone photos.
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anyone into astrology and wants to start investing? dmdmdm
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I just launched motiontone.app Its a motion graphics app in which the timeline is measured in BPM. Nearly all properties are animatable, including via audio modulation. It also has a bot that can configure everything for you, so no mograph experience is required.
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I spent the weekend overthinking how one bar should disappear. Three attempts later, I turned them into a tiny interactive breakdown: brainfunctioncollapse.com/pr…
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good people of twitter – if you struggle to organize your thoughts about your own work, try saying it out loud. that's Aloud: aloud.sh free, and only getting better. If you like it, an upvote on Product Hunt would help a lot.
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it's built for long, messy rambles. it watches your screen while you talk, so you never have to explain what you're looking at – and you can switch topics mid-sentence.
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I’ll applaud myself for this one because building an Electron app that captures screenshots this smoothly ain’t easy, bro.
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This is probably the worst possible way to launch something, but let’s go: aloud.sh/ Open your vibe-coded project and yap for as long as you want about what needs changing. Aloud turns the whole ramble into clear, actionable tasks.
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Very early release disclaimer: expect rough edges, and probably a few things to break. If you give it a try, please DM me with anything that goes wrong, feels confusing, or could be better. I’ll be fixing things as you find them.
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Depth-aware light injection in TypeGPU I got a 448x448 monocular depth model down to ~8 ms on my M4 Pro across ~250 dispatches, which is fast enough to use in realtime :D Since the inference is written directly in TypeGPU, I can just feed the depth buffer straight into the lighting pass. It never has to leave the GPU or go through any extra synchronization/interop step Inference, lighting and draw all go through the same command encoder.
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72h in... what a speedrun. Hopefully it's live soon.
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