The AI helped him build a desk flight radar that shows planes over his house
Made an ESP32 flight radar for his desk showing planes over his house, two of them including one for his wife, running around the clock.
A random mix from the whole library. Shuffle for a new set.
Made an ESP32 flight radar for his desk showing planes over his house, two of them including one for his wife, running around the clock.
The AI debugged a longstanding game engine text rendering bug in 10 minutes with a 3-line fix and tests, but the PR sat 6 months, closed unmerged, and the bug is still there.
He set up an auto-sync of his Goodreads updates to BookHive with help from the AI and val.town, so both places now hold the same content, including his new review of Slaughterhouse-Five.
She wrote an AI script that transcribes her French tutoring recordings and measures the speaking balance between her and her tutor. Her speaking share has improved over the sessions since she started tracking it.
The AI handled his X11 to Wayland migration in an hour, on a HiDPI screen.
The AI fully vibed a fast Splendor engine and trained a playable bot that decisively beats the best open-weights Splendor bot he could find.
A file of his broke in a format with no documentation, after the app crashed while he was typing a ratio. He threw the file at the AI, it repaired the file and sent it back, and the file opens now.
The AI reverse-engineered his laser cutter's G-code dialect and camera controls in 1 to 2 hours; now it places and cuts jobs with power and speed settings and diagnoses problems from scans.
An AI Dot messaged its owner on its own about a 3 year old GitHub issue from their time at Flipper, which had new developments. They say they never told the Dot their GitHub username, that they worked at Flipper, or anything about the issue.
Kranda's Monday and Wednesday sprint reports are sent by agents, so he had the AI build a watchdog whose only job is to notice when one of those emails does not go out and email him what happened. He says the watchdog exists mainly because the AI’s device permission issues make silent failures a real risk.
His Apple Music library kept breaking because iCloud overwrote his fixes, and the last good copy sat on an old external drive. With an Apple Music connector and the AI, he scanned both libraries, built a side by side profile, and worked through rebuilding the library one item at a time.
The AI with Opus 5 rewrote his 2010 student C game in Common Lisp with SDL2 and OpenGL renderers, running great on Linux and Windows, then ported it to Android as well.
An addon he wrote takes notes while he plays World of Warcraft. Each morning an AI turns the notes into a story told by a weathered chronicler, and the AI turns the story into a narrated podcast episode with voices, music and sound effects, one narrator per character. He reads every post and listens before anything goes up.
The AI reverse-engineered a Mac menubar app, modernized it and added Apple Silicon support in about 90 minutes.
Hard drive prices pushed him to shrink his video library instead of buying more space. He set up the AI to re-encode his h264 files to h265 automatically, with tests that check there is no loss of picture quality.
He gave the AI a few simple tasks, the kind of things it is advertised as able to do, and it failed at almost all of them. It ended up costing him much more time than it would have saved.
Built an LLM-backed reference checker for his partner, a lecturer: an agent reads each cited source and checks the reference is correct and not hallucinated.
A man who cannot code beyond R had the AI build a working home for the complicated NFL pool he and a friend have run on Excel for more than 15 years. He says the result felt like magic to him.
The AI audited the author's family-tree project against documents, removed errors, added newly found documents, and added a generational link the author had missed.
The AI interfaced with FPGA boards over USB, set up UART, created an on-chip logic analyzer, and troubleshot a synthesis problem to a workaround.
Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.