Two models built a full game engine from the ground up in 2 weeks; he audited every line
GPT Sol and Astra built a fully featured ground-up game engine in two weeks (render pipeline, physics, collision, shadow maps); he audited every line.
A random mix from the whole library. Shuffle for a new set.
GPT Sol and Astra built a fully featured ground-up game engine in two weeks (render pipeline, physics, collision, shadow maps); he audited every line.
Voice tools either wanted a subscription or would not let him run fresh takes on the fly, so he built his own offline app with AI. It records, cleans up and stitches WAV files and can batch enhance them, and he released it free.
Fed the Windows Remote Desktop binary to the AI, which patched two decade-old bugs (NOPs and a stack offset fix); the fix worked.
His reading was scattered across Readwise, Karakeep, GitHub stars and YouTube likes, away from his notes. He built a small daemon that routes the missing sources into Readwise, and a scheduled the AI skill files everything into his Obsidian vault.
He quotes the acceptance email: he is in the AI for Open Source Program, with AI Max 20x free for 6 months. The application itself was sent by OpenAI's Dots on his behalf.
Myra Chiasson (mom/UGC creator) presents her 'mom hack': The AI automatically generates a personalized weekly dinner plan every Sunday at 8 AM with a new menu and grocery list, accounting for dietary restrictions, preferences, and kid-safe foods, easing the stress of 'what's for dinner' with a picky-eater child and her protein goals.
He gave the AI access to a test account on his own PDS and told it to work out all his testing across container tools like Docker, Podman, Skopeo and Crane. The activity got the first pds.rip account banned.
GPT helped him fix his Bitcoin miner. He also created his own improved, branded user interface and firmware for it.
A builder created a skill that converts a user's Instagram saved collection into a private, searchable personal library. Every saved post is deep-read by vision AI, and everything runs on the user's own machine.
A screen-recorded walkthrough of an app called 'Song List' inside an AI app AI shows managing a personal music repertoire: 264 total songs, 76 marked 'In show,' 188 'Needs work,' across 76 artists. The presenter navigates 'In show' and 'All' views and uses the search bar.
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.