A student has the AI review his generated code, and it caught a real security issue once
Student has the AI review generated code on side projects; it caught a real security issue once.
Real things everyday people got it to do, and how to try them yourself.
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Student has the AI review generated code on side projects; it caught a real security issue once.
His wife runs a PHP site on their server to manage her business. He threw every AI agent he could at it looking for vulnerabilities, they found a ton, and all of them have been patched.
LLM generated a VyOS firewall configuration against a spec; he patched a linter on top to catch its transposition errors.
LLMs migrated a 6GB GPU SciBERT container to a 900MB ONNX CPU container.
His AI agent got a modified fork of OpenEPaperLink running on a hacked 2.6 inch e-paper price tag within a few days. The agent then took a photo of the tag through a webcam to check its own work.
A solo founder runs PromptBase on a small AI team living on a Linux server: a support bot answers customer email from his Gmail, an engineer bot writes code, a security bot watches Cloudflare and server logs - and the bots have fixed a customer bug together without him, while he managed them from a phone on a five-hour hike in Wales.
He teaches chemistry and built a website with AI where his students form crews, make an avatar and a spaceship, and travel between planets that stand for class units, entering learning academies to fight boss battles or other crews. He funds it himself, uses AI for some of the interactive lessons and Canva for graphics, and posted asking how to work more efficiently and use fewer tokens.
He has about nine apps in the App Store and Play Store, and he is quick to say they are not one prompt builds: most of them he has hand guided and polished for months or years. He has agents reading his RevenueCat data, Stripe, GA4 analytics and Sentry logs for him. Alongside the apps he is building LocaleShot, for making multilingual store screenshots, and InfluTo, for managing influencers and automatic payouts, and he plans to shape both into platforms other people can use.
A dad with no building experience spent a weekend with AI and an $89 circuit board and made his son a talking dinosaur toy. It reads stories, plays the radio, and tells jokes, and it works.
His wife was left a massive box of coins by her late grandfather many years ago, and they had never catalogued them. He built an app that scans a coin and records its year, type, series and what it is made of, then checks websites for an approximate value and adds it to the collection. It can filter views, track where each coin is physically stored, and show graphs of the total value and the breakdown by coin type. There is also a virtual coin book he can flip through, using the photos he captured while scanning each coin in. For now the app is just for him.
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.