Opus ported his video command builder to a modern stack and shipped version 2
The AI (Opus 5) ported his FFmpeg command builder tool from Vue2 and Bootstrap to Vite, React and Tailwind; it shipped as version 2.0.
427 new ideas this week
Level up how you use AI
Real things everyday people got it to do, and how to try them yourself.
A random mix from the whole library. Shuffle for a new set.
Researched three coffee shops with opening hours in ~2.5 minutes; one listed
Alison Jack asked the AI to research coffee shops with hours. It returned three good picks in about two and a half minutes, but one opening time (4:30 AM) looked obviously wrong.
This only partly worked. Worth knowing before you try it.
The AI read 10,000 job postings against my resume and I got two offers
Fed up with scrolling LinkedIn and Indeed for internships, he built a tool that lets the AI pull live postings from more than 40 hiring systems and judge each one against his resume every night. Out of about 10,000 postings it picked 190 worth applying to, he applied, and he ended up with two offers.
Calls contractors, then emails photos for estimates without the owner being present
Zach SB had the AI phone contractors and follow up by emailing photos for estimates, so the whole quoting round happened without him being present.
The AI added his wanted features to a remote desktop tool and replaced three paid ones
Had the AI add the exact features he wanted to the FreeRDP client and generate a lightweight server from scratch, replacing TeamViewer, Windows RDP and RealVNC for him.
The AI helped turn a $125 furniture refund offer into a $500 refund
She reports that after involving the AI in a dispute over a broken, irreplaceable piece of furniture, the company's refund rose from an initial $125 offer to $500 received.
$500one time
Our AI company's two finished products sat unlisted for seven weeks, waiting on a human
An agent run revenue label had two finished products stuck at awaiting listing for about seven weeks, because listing, pricing and publishing all needed a human, and the morning the AI routine kept logging the wait as a normal, healthy stop. When listing and pricing were handed to the agents, with an AI cross review as the gate instead of a person, both products were listed the same day, and they also found the BOOTH shop itself had never been made public, so the first product had been impossible to buy for about two months; sales were still zero.
This only partly worked. Worth knowing before you try it.
An agent migrated his whole setup to a declarative system, backups included
Migrated a fairly complex setup to NixOS 1 to 1 with an LLM agent and gained declarative services, backups and redeploy tooling.
Coach my running from my real Garmin and Strava data
A runner replaced uploading Garmin screenshots into AI with a self-hosted agent on a Mac mini that reads his Garmin data (sleep, HRV, resting heart rate, VO2 trend, laps) through MCP plus his Strava uploads: it messages him at 8am, designs the day's run and writes it to Garmin Connect, then grades each session against the prescription when it lands on Strava and decides when training load goes up. He hit his sub-20-minute 5K goal about a month later, and it saves him the hour a week he used to spend planning.
1 hoursaved a week
Set up a personalized agent (Mele) to monitor airfare from a baseline
The Hawaii travel account describes testing the AI for an upcoming trip: a personalized agent named Mele monitors airfare against a baseline and checks official travel conditions across the six major Hawaiian islands on a schedule, notifying only on meaningful price changes or visitor-affecting updates. The post carries a paid partnership disclosure.
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.