Build a scraper app and deploy it
A developer used Replit Agent to make a Hacker News scraper with storage, an API, and a front end, then deployed it.
Agent Uses · 1,321 real examples
Real examples, collected from Reddit, X, Hacker News, blogs and the press, of people handing work to AI agents: what they asked for, what happened, what went wrong, and a prompt you can copy to try it yourself.
The day's AI news plus 3 agent uses you can try, with ready-to-paste prompts. Free; unsubscribe anytime.
A developer used Replit Agent to make a Hacker News scraper with storage, an API, and a front end, then deployed it.
One developer linked a local agent to home automation so it could notice and react to sensors in a home office.
An early Scout user had it scan Teams chats, surface tasks, find a hidden meeting ask, and schedule the call after checking calendars.
Use an agent to compare hair stylists, gather prices, and pause before any appointment is confirmed.
A developer had Replit Agent assemble a reporting app with a database, image storage, analytics, and a public landing page.
A developer used Microsoft Scout in a local terminal to fix a syntax issue, review changes, and push a new branch after approval steps.
Microsoft Scout produced a 5-slide quarterly cloud review deck in Downloads, with charts and layout elements built automatically.
Microsoft Scout can inspect Git conflict markers, compare both versions, and prepare a merge or push flow for your approval.
Have Microsoft Scout run build, test, lint, and GitHub CLI tasks from a workspace folder, with approval before any write or network action.
Devin can read a Notion PRD and split it into scoped Linear tickets for a backlog.
A founder used Cursor to inspect a trip-planning app, surface missing pieces, sketch screens, and then build a feature with parallel agents.
They used Devin to make a Gmail assistant that shows recent emails that still need replies.
Three coding agents independently built the same multiplayer shooter, letting the team compare their strengths and weak spots.
They used n8n to prepare email replies, turn a topic into a LinkedIn draft, and pull tasks from incoming mail for review.
Devin can take product work, implement it, and hand back a pull request for human review.
A SaaS team uses Devin to produce first-pass internal dashboards and data migrations, then checks the result by hand.
A hiring manager set up Zapier Agents to collect applications on a schedule, condense them, and remove clear mismatches before review.
Neon’s docs team uses Devin for a weekly changelog and for repetitive docs updates tied to GitHub issues.
Use an n8n agent to check invoices, skip repeats, and email overdue customers with a polite or firmer message based on how late they are.
A developer had Devin scan a reworked repository and draft a new README with setup and API details in a pull request.
They used n8n to read a chat request, extract the event details, and add the meeting to Google Calendar.
They used Devin to turn an empty repo into a deployed City Explorer app in about 90 minutes.
A cloud agent played an iPhone game in a simulator and returned a recording plus a test report showing what it checked and what it skipped.
A reviewer used Lindy’s starter prompt to create a customer-support agent, then linked Google and Slack so it was ready to try.