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63
Fair
The public score: the same for everyone. Members also see how well it fits them.
What you could build
The offerA service that provides curated, unbiased recommendations for shirts, hoodies and slippers based on personal style and use cases
Who paysConsumers who want confident clothing choices without spending hours researching
First versionA simple landing page with an intake form; manually compile and email personalized recommendation lists for the first batch of users
One way to serve the need, not the only one.
Why it scores 63
Demand49Five asked in thirty days.
Timing67Asked in the last day; nothing before this month to compare against yet.
Market gap65Not measured yet: we have seen nothing written on it, and we read a narrow slice of what is sold.
Evidence73Two independently run sources.
We show real demand. We never estimate what you'll earn.
PotentialSolidPotential describes the market we observed. It is not a prediction of what you will earn.
How we know
Five people asked for this in the last thirty days.
They came from two independently run sources, not one list.
Every fact above comes from something we observed and kept, never from an estimate. How Colaunched finds ideas
Ask your assistant
Claude, ChatGPT or any MCP client can read this idea and the rest with no account: add mcp.colaunched.ai/public as a connector and ask what people are asking for in retail & e-commerce. How it works
What we don't know
Whether anyone will pay for it. No signal can tell us that. The first gate in a launch is there to find out.