AltF Ideas is a searchable corpus of 117,264 startup ideas, each scored 0–100 on demand, moat, monetisation, feasibility, timing and open field. Every score is shown in full, every idea carries its market evidence, and every one ends with the first move you make on Monday.
Every idea is scored on the same six axes, with the weights published. You can see why an idea scored 78 instead of 91 — and you can change the weights to match how you build.
Search trend, community pain frequency, and money already being spent on the problem.
Defensibility from a data loop, workflow lock-in, regulation, or distribution.
Contract value against willingness to pay and the shape of retention.
How small the first shippable version can be, and how much technical risk it carries.
Whether something changed recently that makes this possible or urgent now.
How much room is left — high means incumbents have not covered this properly.
An anomaly detector that handles margin monitoring end to end and hands a human the exceptions rather than the queue. Aimed at healthcare clinic admins, closing the loop while everyone is asleep.
A voice agent that handles knowledge capture end to end and hands a human the exceptions rather than the queue. Aimed at logistics dispatchers, so the work stops following people home.
Point a retrieval engine at compliance audit, and let people review output instead of producing it. Aimed at manufacturing maintenance leads, surfacing the exposure nobody has priced.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes grant & funding tracking. Aimed at solar owner-operators, writing down what only one person knows.
A retrieval engine that handles training & competency end to end and hands a human the exceptions rather than the queue. Aimed at waste management ops teams, built for one person, not a department.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes compliance audit. Aimed at hospitality ops teams, finding what the inspector would find, first.
A solo developer and a venture-backed team should not get the same ranking. Drag the weights, or pick a preset — the whole corpus re-sorts instantly.
Change shown against the balanced weighting. Weights are normalised, so the totals do not need to reach 100.