The AI rebuilt his movie guessing site, live since 2008 with 70,000 users
Mainly used AI models over five months to modernise his movie-guessing site running since 2008 with 70k registered users; the rebuilt site is live with daily challenges.
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Work
Jobs, side gigs and small business · 1,668 ideasHe builds websites for local businesses with AI, a gym site in 4 hours instead of 40
A man who has built websites for friends and small businesses for years used to work in WordPress and now builds static sites with AI that he hosts on a VPS. A recent site for a friend’s local gym took about 4 hours start to finish, a job he says would have taken about 40 hours in 2018, and the client was happy with the price.
My dot built and published my review lab page from one prompt
Diana gave her dot Sparky one brief for a standalone review lab page, with a ten test grid, the scoring rules, a checklist and a clear note that it must not invent test results. Sparky built the page in an AI app Sites, published it, told her on its own that the page was set to private, and gave her a link she could share.
Opencode mostly wrote a fix script for journald logs going missing
On machines that regenerate their machine ID at every boot, journalctl reported no journal files even though logs existed, because journald and journalctl end up looking in different directories. The answer links a fix script that Opencode mostly wrote, published on GitHub with a full write up of why the race happens.
The AI watches his pull requests and keeps fixing the build until they pass
The AI instructed to watch a PR and iterate on CI failures via an issue skill that completes GitHub issues and opens PRs, driven by a worktree script spawning AI sessions.
Rust code faster than the state of the art, by asking agents to make it faster
Writing Rust code faster than state of the art by asking agents to make the code faster.
Friday filing: five months of desktop and downloads sorted without one wrong folder
He saves everything to his desktop and downloads and does no filing himself. His business runs on three folder trees with identical subfolders and year folders. Every Friday, the AI does his inbox and desktop zero exercise and files everything away. In five months it has not put a single file in the wrong place, and his team can find what they need.
The AI works as the CEO of his small Chrome extension every night
The maker of a free bookmark extension handed the AI the CEO job: a scheduled run every night at 9pm reads the store dashboard, checks comments, scans forums for people who need the tool, plans posts, and works on the product, then files a report in Notion. Nothing public goes out until he replies go. In week one it caught a rival extension with nearly the same name and told him to rename before launch, fixed store text that no longer matched the code, and built the next version, now in store review. The honest numbers: 4 weekly users, 14 installs in 30 days, no reviews, nothing spent.
This only partly worked. Worth knowing before you try it.
Rebuild our website by handing the AI our brief and roadmap
The Causal team rebuilt its company website in three days by preparing a one-page brief, content architecture, references, assets and a task roadmap, then handing the build to the AI. Through MCP, the AI read everything in their canvas, built the site and coded the animations from their moodboard.
The AI drives DaVinci Resolve to add analysis to his sim racing lap guides
A sim racing creator has the AI drive DaVinci Resolve three ways: generating timeline files, writing and running Lua scripts through the program’s scripting engine, and full computer use. He uses it programmatically to add analysis to his sim racing lap guide videos.
WhatsApp agent qualified leads, sales reached 461 thousand reais
A tent factory and rental company lost the first 30 minutes of each sales call just checking if a lead was a real fit. Its WhatsApp agent asked the technical questions, dropped poor leads, and handed ready leads to sellers, and buyers who spoke with the agent converted at 3.54 percent against 0.56 percent for others.
A student built a job search engine for his laid off dad, and it got him hired
After his dad was cut in the federal layoffs at 54 and spent months scrolling job boards, his 19 year old son built a job search engine that runs through AI. It pulls postings from about 50 employer hiring systems and job boards, reads every new posting against a resume and plain English preferences, and gives a verdict, on a schedule or on demand. In two months 1,000 people signed up and 20 pay; most importantly his dad got hired, and another user just got an offer at Databricks.
The AI built and runs my landing page review business. No paying customers yet.
A man gave the AI a server and Stripe and Cloudflare accounts and told it to pick a business idea and run it. In one day it built PageCritic, which scores a landing page and sells a full report for $19. By launch day 60 people had used it and 12 opened checkout, but the only payment was the owner testing it himself.
This only partly worked. Worth knowing before you try it.
The AI does my invoicing now and flags the bills that are missing
He says the AI now does the invoicing work his tax advisor and the Easybill app used to do. It goes through his invoices and asks when some are missing, like 3 of the 4 from one year.
An SEO with no coding background shipped a SaaS with paying users, and turned his cross-model review habit into a second product
He has worked in SEO since 2009 and has no coding background. He shipped a SaaS with paying users anyway. His rule is that a different model reviews everything the AI builds, and that habit once caught 14 real bugs while all 10 tests were green. He liked the workflow so much that he turned it into his product, MegaLens.
I connected my bot to my real Shopify stores and it told me what to fix first
He connected the AI to his Shopify stores for Headphones.com and BioCandy and asked it real questions about Headphones.com. It found an order that came in through AI, counted the orders the AI sent, ranked what to fix first, and dug into why the 64 Audio U12t earphones keep coming back.
I built two interactive grammar lesson starters with AI. My class liked them.
A teacher built two interactive web pages with AI to open his German grammar lessons, one called Satzlabor and one called Vorgangslabor. He used both in class and says both were well received.
My coding agent stored prices as floats. 3 invoices came out a cent off.
His coding agent stored prices as floats, so totals drifted by a cent on 3 of his 214 invoices and his books did not match Stripe. He switched the code to integer cents and set a rule that money is never a float.
This one went wrong. See what happened before you try it.
Built a 'Piggy Bank' agent that scans Messenger, Instagram, email, and card
Magan (someone, 140K followers, 'Building in Public') created a custom AI agent called 'Piggy Bank' connected to Messenger, Instagram, email, and credit-card transactions. It scans sources to find all subscriptions (which she can cancel), reads Instagram DM chat history to track brand-deal payments, and generates a ledger showing how much she's owed, plus spending insights and payment reminders.
Build the business tools I kept putting off, with AI planning and the AI building
A marketing-business owner who is not a developer used AI for strategy, planning and technical thinking and the AI to build, with himself making decisions and testing in the middle. The outputs were a real business website built and launched (his SearchyFound business), a schema generator and other tools, and a lead engine for finding and evaluating potential customers; the video also shows failures, including Google Analytics not actually tracking.
Cut duplicate email automations and rebuilt a welcome flow in under an
A worked example in metaflow.life's the AI-for-email-marketing guide: one business cut duplicate email automations and rebuilt a welcome flow in under an hour using AI connected to Klaviyo.
Our research site got hacked. The AI and the AI rebuilt it from old copies.
After hackers hit their research site meta-analysis.cz, which had no central backup, the AI and the AI rebuilt it from Wayback Machine copies and scattered files on their hard drives. The site is now on GitHub, its datasets are archived on Zenodo with a DOI, and every paper has an HTML version next to the PDF.
Ask the AI what in my 1,412 unread emails actually needs me
Josh Dubowsky connected the AI to his Gmail and asked what he needed to deal with that week: six items came back in about nine seconds and five were right, but the sixth claimed he had confirmed attendance at an October event he had explicitly declined — the summary had dropped the word 'unfortunately'. Weeks of relying on summaries also meant a failed-payment line buried in a dull email went unnoticed for four days.
This only partly worked. Worth knowing before you try it.
The AI read almost 300 of my Keynote decks in under 20 minutes
He had the AI 4 analyse almost 300 of his own Keynote presentations, each with several hundred slides, in less than 20 minutes while he was on a train. He then posted what it found.
The AI gathered my training materials and put them on the web
He had the AI gather his SPARQL training materials and present them on a website in a way that is easier to engage with. The site is live on the SIB Swiss GitHub pages.
Williams Technician Builds an Equipment Anomaly Detector With the AI Cowork
At natural gas company Williams, one operations technician built an anomaly detector with AI Cowork. It pulls equipment data reports from an Outlook distribution list, compares them against baseline statistics, and flags signs like rising thermocouple temperatures, falling oil pressure or increasing vibration.
Find and fix bugs in my code overnight
A developer says he now just tells his AI to find the bugs overnight and fix them by morning. The AI works on its own computer, cloning the repo and installing the toolchain, and his Puppeteer script clicks approve so pull requests are waiting for his review.
Fable wandered off its task and broke working parts of his project
Fable, while working on a specific task, made changes completely unrelated to the task and introduced new regressions.
This one went wrong. See what happened before you try it.
Agents do the manual half of his video editing, and his project time fell by about half
He edits video for a living. His agents handle the non creative manual work around each project: quality checks for missed text, black frames and logos, subtitles, reformatting for social aspect ratios, spreading files to the right products and pulling source material for descriptions. He logs his hours on every project and says agent assisted projects take about half the time with better quality; the weeks spent building the setup paid for themselves in two weeks.
The AI matched 242 files to her site by fingerprint and moved 288, deleting none
A creator's business folder was full of logos and images and nothing said which ones were still live on her site. Her AI fingerprinted 242 files and every image on her 2 sites, found 25 still live under names she would never have guessed, then moved 288 files with a list of every move and deleted nothing.
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.