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60
Fair
The public score: the same for everyone. Members also see how well it fits them.
What you could build
The offerA service that audits AI hiring logs, provides legal risk assessments and conducts worker interviews about AI‑driven performance reviews
Who paysHR leaders and people managers who need proof that AI hiring decisions are lawful and fair
First versionA simple intake form and checklist; manually review a client’s AI hiring logs and draft a risk brief for the first few companies
One way to serve the need, not the only one.
Why it scores 60
Demand42Three asked in thirty days.
Timing63Last asked thirteen days ago; 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.
Evidence75Two independently run sources.
We show real demand. We never estimate what you'll earn.
PotentialModestPotential describes the market we observed. It is not a prediction of what you will earn.
How we know
Three 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
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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.