An LLM used his code editor's language server to fix a few dozen bugs in a Python rewrite
LLM used his LSP on a Python-to-ucode rewrite and fixed a few dozen bugs from interpreter/LSP errors (work deliverable).
A random mix from the whole library. Shuffle for a new set.
Work
Jobs, side gigs and small business · 1,669 ideasBuild a functional SaaS landing page in about 20 minutes
The AI produced a live, functional landing page for a fictional SaaS — hero, three features, testimonial, two-tier pricing and FAQ — in about 20 minutes with clean, exportable code. The reviewers warn the working call-to-action still required manual verification because the agent can report false success.
This only partly worked. Worth knowing before you try it.
He runs 13 scheduled the AI routines for his blog and social accounts, chosen with a three-question filter
A Korean blogger documents the 13 scheduled the AI routines (desktop-app Routines) that run his content operation as of Oct 13, 2026: 6 daily blog-post jobs, 3 daily or every-other-day refresh/summary/index checks, 2 social jobs (Threads twice a day, Instagram), and 2 weekly checks and calculator builds. Jobs were picked with a filter he also turns into a reusable prompt: the task must repeat 3+ times a week in the same order, be checkable in one minute, and be reversible (never money-sending, deleting or messaging others). Guardrails: routines halt and log where they stopped if a password field appears, and Blogspot posts stay drafts for him to publish. A one-off scheduled job to end a book discount at 00:05 on Oct 13 ran on time. The post sells his 18-page PDF of the instruction and memory-file templates, so it is marked promotional.
A solo builder shipped a paid Mac app in five weeks and 60 people have bought it
A builder in Bangalore started a menu bar app that plays mechanical keyboard sounds on September 4 and shipped it five weeks and 242 commits later, built with AI. More than 60 people have paid the one time $4.99 price. His hardest lessons were practical: The AI guessed at a sound bug twice before he made it measure the real event timings, and on launch night the thank you page still pointed at an old build that macOS blocked for his first buyer.
Keep my work log and write my standup for me
A developer ran AI on a VPS as a work journal: he told it what he was working on through Discord and it kept a running timestamped log. Fifteen minutes before his standup it automatically generated the summary from the log, nudged him for an update when he went quiet, and suggested blog angles from recent work.
Two top models did a six-month project in a week: pipeline, test data and 1,000s of checks
Fable and GPT-5.6 at max effort did a task that would have been a near 6-month project in a week, building a data capture pipeline, a synthetic data baseline, and building and testing 100 classification model variants with near-SOTA results.
Day 5 of the AI’s $100-to-$10,000 challenge: 2 visits, $0 sales
On day 5 of giving the AI a $100 budget to reach $10,000 (he only clicks), Carlos G reports the Etsy shop’s visits rose from 0 to 2 after the AI researched buyer search terms and rewrote 14 listings keyword-first; sales are still $0 with $91 of the budget left.
This only partly worked. Worth knowing before you try it.
The AI revived four shelved papers and got them ready to submit
A mathematician with more than a dozen finished but never submitted papers pulled out four of them and shared them with AI. The AI caught errors, built a spreadsheet comparing his new concepts against related papers, converted plain TeX to LaTeX, wrote abstracts he adopted almost word for word, and fixed bibliography entries unprompted. All four papers improved to the point where he submitted them.
An agent sets the prices on his Airbnbs and sends him a weekly report
Agent manages pricing on his Airbnbs with a large revenue boost and gives him a weekly performance report.
Run our whole website through AI with checks
Pelcro moved its site off Wix and now runs every change through AI: a custom migration skill rebuilt the old pages, and each new change goes branch, pull request, automated checks, human review, sandbox, then live. Nothing ships unless lint, type, build and content checks all pass.
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.