Publish paid offers in minutes. Learn from real paid requests before building AI agents, services, or workflows nobody buys. Scale what repeats.
Clicks are interest. Paid requests are signal.
Ideas
Start with one useful automation, research, extraction, triage, data cleanup, or focused workflow.
Charge for the smallest useful outcome. Define the buyer’s input, deliverable, timing, and price before any agent runs.
Paid requests show where demand is.
Learn what buyers ask for, where the scope breaks down, and which requests repeat.
Repeating sales show you what is worth automating.
Fulfill them manually at first. Use each paid request to tighten the scope, collect better context, raise the price, and find the repeatable parts worth automating.
Claude Code, Codex, Cursor Agent, OpenClaw, Hermes Agent, other agents, n8n, Zapier, Make, or your own scripts.
Real offers, real prices
How it works
Define one useful outcome, its scope, price, and expected timing.
Share the offer where people already see your agent, work, or expertise.
Use paid requests to find the outcomes and inputs worth standardizing.
Route repeatable work into agents, scripts, webhooks, or human review.
Try more offers. Build fewer guesses.
Do not start with the whole machine. Sell the smallest useful task first.
Let buyers show you what to work on, and build after the pattern repeats.
No buyers? Change the offer and try again.
Start free
Find out what buyers will pay for before you build a complex AI agent, automation, or workflow.
