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.

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The AI could not set my fantasy hockey draft rankings

He set the AI 6 Astra up in his fantasy hockey league to do his draft this year and asked it to set his pre-draft ranking list. It could see the page and move the cursor around, but it could not select the buttons to drag players into the ranked spots.

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The AI figured out the Windows only tool so he could flash his board from Linux

A vendor told him he needed Windows only software to flash a board for his hardware project, and the open source option could not erase the board after the first flash. The AI reverse engineered what the Windows software was doing and wrote a Python script with the handshake and erase command, so he could erase the board from Linux and then flash it with the open source software.

The AI found out my five new subscribers were bots

Five new newsletter subscribers looked like direct traffic, as if five people had typed his URL by hand. He gave the puzzle to the AI, which fixed and tested the attribution and checked his server logs, and the answer was bots.

Check my menu prices against competitors before I raise them

Ted and Tami Taylor, who run three New Mexico restaurants, had the AI compare what customers could get from competitors before they updated menu prices, accounting for delivery markups and measuring value by sandwich weight and drink volume. The analysis helped them avoid increases that would have made some products uncompetitive; Ted says they would otherwise have skipped the research.

Score my real-estate leads every morning and draft the follow-ups in my voice

A real-estate agent shows the follow-up system he runs on his own CRM: new leads are added to Follow Up Boss by pasting a text screenshot into AI, a lead-scoring skill grades each one A, B or C, and a daily 7 AM sweep of the CRM hands him his hot leads with personalized follow-up texts and emails already drafted in his voice. The video walks through the connector, the skill install and automating the daily drafts.

It price checked my grocery basket across Zepto, Swiggy Instamart and BigBasket and ordered from the cheapest

He asked the AI to run his whole grocery shop. It signed into Zepto, built the cart, then price checked the same basket on Swiggy Instamart and BigBasket. The Zepto cart came to 189 rupees, 10 short of free delivery, so following his standing rule of never paying delivery fees it scanned his 24 past Zepto orders, ranked his most reordered staples, and added a 50 rupee Mother Dairy curd cup as filler. Final totals: Zepto 239 rupees with fees waived, Swiggy Instamart 251, BigBasket 289.50. Zepto won and the order was placed, paid with Amazon Pay.

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Journal six months of my career into an AI vault that writes my resumes

Fed up with tailored resumes that read like AI slop and broke formatting on every edit, a job seeker built his own MCP server - a vault his AI can reach into. Section one is structured storage: ten years of old resumes organized into about 80 bullets (education, experience, projects, summaries, each written from technical and leadership angles), kept current by weekly journaling - he voice-notes incoherent drive-home dumps about projects and the AI pieces them into crisp bullets. Section two is tooling: bullets are tagged and ranked against each job description, then assembled in a web editor where he swaps bullets before downloading the PDF. Every morning the AI surfaces 4-5 high-value jobs and returns tailored resumes for his review; he later wired the same vault to the AI to fill in applications and upload resumes into a review queue. Six months: 250 applications, 39 callbacks, 4 offers.

My agent joined my home server over Tailscale and set itself up as my homelab control point

He joined the AI’s cloud computer to his Tailscale network and gave it SSH access to a restricted user on his home Ubuntu box. After a series of proceed replies from him, the AI set the rest up itself. It can now run commands and browser work through his own hardware, and he uses it as the control point for his homelab: Docker, VMs, his NAS and Proxmox. The setup uses a dedicated non sudo user and SSH keys, with no open ports.

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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.