ab (@bickov) header
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Building https://teapaw.org/t.co/HV7NAoiJIE, screenshots for AI agents. Running on 5P law: persistence, patience, prototype, polish, push

Latvia
Joined March 2008
Photo by ab (@bickov)Photo by ab (@bickov)Photo by ab (@bickov)Photo by ab (@bickov)Photo by ab (@bickov)Photo by ab (@bickov)Photo by ab (@bickov)Photo by ab (@bickov)Photo by ab (@bickov)Photo by ab (@bickov)
When users start posting the bugs on X, I call it marketing.
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Made my app free on purpose, so I hit the $0 revenue milestone on day one.
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Jingle Bells, Chimera edition. A synth by @jamesonhodge that simulates vibrating vocal folds and sound waves travelling through changing mouth shapes, no samples. The lyrics are about AI coding github.com/jamesondh/chimera…
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Nobody tells you the launch is the easy part. Launched on Product Hunt in June, finished 9th, and the hard part started the next morning.
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Black holes, solved. My button, still not centered.
CLAUDE JUST SOLVED TWO OPEN PROBLEMS IN QUANTUM GRAVITY Quantum gravity is the biggest unsolved problem in physics: making quantum mechanics work with Einstein’s gravity. Black holes are where the two collide. In 1983, Stephen Hawking and Don Page showed that as certain model universes heat up, black holes don’t form gradually. They appear suddenly, like water flashing into steam. Their proof only worked for large universes. In 2003, physicists laid out the quantum calculation needed to check small ones. Nobody finished it for 23 years. The math was too brutal. Anthropic says its newest Claude model, Fable 5.2, just did it, “working largely autonomously.” Black holes appear suddenly in small universes too. It also pinned down the exact limit of a technique physicists have used for 15 years to rule out candidate theories of quantum gravity. Why quantum people should care: this is the same physics that connects black holes to quantum error correction, the thing every quantum computer needs to scale. In 2022, Google even used its quantum processor to simulate a tiny wormhole model. AI is now doing original work in quantum physics. The field that builds quantum computers is about to move faster. $INFQ $IONQ $QNT
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Where will AI learn to code now that AI writes the code? From us saying "no, not like that" 40 times a day.
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Shipped screen recording in SlimSnap. Every click that changes the screen becomes a step, and what you say becomes text. Claude Code can't watch a video, so now it doesn't have to.
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AI gets cheaper per token every year. The bill still goes up, because we use 10x more of it.
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43 seconds of screen recording, 3 screens. Claude gets 3 frames and every click as JSON. Moments where the screen barely changed fold into the frame before.
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Windows captions started on Whisper. Great model, but on a normal laptop CPU every sentence took 10 to 17 seconds to show up. Switched back to Vosk with one language picked in Settings, and now it keeps up with long recordings.
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Building for Mac and Windows? Do Windows first, while you still have the energy.
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SlimSnap can record the screen now, on Mac and Windows. You talk while you click, and each sentence lands as a caption on the element you were pointing at. Claude Code can't open an MP4, so next to the video it saves JSON. 43 seconds across 3 screens came to 6.3k tokens.
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After a full day talking to AI, my colleagues feel slow and moody.
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After a year with AI, typing a commit message by hand feels like writing a letter.
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AI didn't give me less work. It removed the "that's too much work" excuse, so now I'm shipping a Mac app, a Windows app and a blog on top of a full time job.
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Asked an agent to write a lint rule against slop comments. The script it wrote was full of slop comments. It just thinks the rule is for other agents.
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Making the Windows app was 10x harder than the Mac one. Code signing alone took 12 days because Microsoft's verification email landed in spam.
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Apple Vision OCR skips any text smaller than 1/32 of the image height by default. On a 1080px screenshot that's about 34px, so most UI labels never get read at all.
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I'm fine with AI-written posts if there's a real thought behind it. AI fixes my English, the opinion is still mine.
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OCR's quietest bug: it drops the dot in URLs and emails. "slimsnapai" still looks like text, so nothing flags it, and the agent happily acts on the wrong link.
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