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64
Fair
The public score: the same for everyone. Members also see how well it fits them.
What you could build
The offerA curated service that matches students with 12‑week AI, ML, and engineering internships and handles applications
Who paysStudents seeking short‑term, hands‑on experience in AI and product development
First versionA single‑page website with a signup form and a manually curated list of current internship opportunities
One way to serve the need, not the only one.
Why it scores 64
Demand48Seven asked in thirty days; reading on the subject up 9% on the month.
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.
Evidence80Six independent voices at six different places.
We show real demand. We never estimate what you'll earn.
PotentialLargePotential describes the market we observed. It is not a prediction of what you will earn.
How we know
Seven people asked for this in the last thirty days.
Six different people, at six different companies or products, said it in the open.
Every fact above comes from something we observed and kept, never from an estimate. How Colaunched finds ideas
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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 education. 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.