AltF Ideas holds 117,264 startup ideas across 61 industries, each scored 0–100 on demand, moat, monetisation, feasibility, timing and open field. The 12,000 highest-scoring have full dossiers with market size, competitor archetypes, risks, and a four-step build path. Sorted by opportunity score, best first.
Point a document parser at incident reporting, and let people review output instead of producing it. Aimed at education program directors, replacing the spreadsheet that currently holds it together.
A narrow document parser scoped to onboarding alone — no platform, no migration, no six-month rollout. Aimed at trade schools registrars, closing the loop while everyone is asleep.
Point a document parser at expense review, and let people review output instead of producing it. Aimed at trade schools registrars, unbundling the one module people actually use.
Site selection handled by a geospatial model, with a human signing rather than writing. Aimed at trade schools registrars, closing the loop while everyone is asleep.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes document review. Aimed at trade schools registrars, writing down what only one person knows.
A document parser that handles field reporting end to end and hands a human the exceptions rather than the queue. Aimed at trade schools program directors, replacing the spreadsheet that currently holds it together.
Grant & funding tracking handled by a retrieval engine, with a human signing rather than writing. Aimed at education ops teams, surfacing the exposure nobody has priced.
A narrow retrieval engine scoped to claims & appeals alone — no platform, no migration, no six-month rollout. Aimed at education ops teams, holding service constant on a smaller team.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at education ops teams, going after the low-value tail everyone else skips.
Vendor management handled by a reconciliation engine, with a human signing rather than writing. Aimed at trade schools registrars, taking the phone queue off a human entirely.
A narrow workflow engine scoped to claims & appeals alone — no platform, no migration, no six-month rollout. Aimed at trade schools registrars, proving value before anyone signs anything.
A narrow retrieval engine scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at trade schools registrars, proving value before anyone signs anything.
A document parser that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at trade schools registrars, writing down what only one person knows.
An autonomous agent that handles scheduling end to end and hands a human the exceptions rather than the queue. Aimed at trade schools program directors, holding service constant on a smaller team.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at trade schools program directors, replacing the spreadsheet that currently holds it together.
RFP response handled by a long-context reviewer, with a human signing rather than writing. Aimed at trade schools program directors, built for one person, not a department.
A narrow document parser scoped to expense review alone — no platform, no migration, no six-month rollout. Aimed at trade schools program directors, surfacing the exposure nobody has priced.
A geospatial model that handles site selection end to end and hands a human the exceptions rather than the queue. Aimed at trade schools program directors, going after the low-value tail everyone else skips.
A vision model that handles field reporting end to end and hands a human the exceptions rather than the queue. Aimed at trade schools program directors, taking the phone queue off a human entirely.
A narrow forecasting model scoped to quoting & estimating alone — no platform, no migration, no six-month rollout. Aimed at trade schools owner-operators, going after the low-value tail everyone else skips.
An optimisation engine that handles scheduling end to end and hands a human the exceptions rather than the queue. Aimed at trade schools owner-operators, closing the loop while everyone is asleep.
Training & competency handled by a retrieval engine, with a human signing rather than writing. Aimed at trade schools owner-operators, finding what the inspector would find, first.
A document parser that handles invoicing end to end and hands a human the exceptions rather than the queue. Aimed at trade schools owner-operators, starting from data the business already produces.
A retrieval engine that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at trade schools owner-operators, built for one person, not a department.