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.
Training & competency handled by a retrieval engine, with a human signing rather than writing. Aimed at mental health program directors, writing down what only one person knows.
An anomaly detector that handles quality control end to end and hands a human the exceptions rather than the queue. Aimed at mental health program directors, charging only when it actually works.
Risk assessment handled by an anomaly detector, with a human signing rather than writing. Aimed at home care schedulers, going after the low-value tail everyone else skips.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes training & competency. Aimed at home care schedulers, proving value before anyone signs anything.
A vision model that handles inspection end to end and hands a human the exceptions rather than the queue. Aimed at mental health program directors, taking the phone queue off a human entirely.
A forecasting model that handles collections end to end and hands a human the exceptions rather than the queue. Aimed at mental health program directors, catching the error before it becomes a change order.
A forecasting model that handles quoting & estimating end to end and hands a human the exceptions rather than the queue. Aimed at mental health program directors, surfacing the exposure nobody has priced.
Point a workflow engine at onboarding, and let people review output instead of producing it. Aimed at home care agency owners, at a tenth of what the enterprise suite charges.
A forecasting model that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at home care agency owners, closing the loop while everyone is asleep.
Point an autonomous agent at collections, and let people review output instead of producing it. Aimed at home care agency owners, holding service constant on a smaller team.
Point a document parser at incident reporting, and let people review output instead of producing it. Aimed at home care agency owners, built for one person, not a department.
A retrieval engine that handles training & competency end to end and hands a human the exceptions rather than the queue. Aimed at home care agency owners, writing down what only one person knows.
Lead qualification handled by a forecasting model, with a human signing rather than writing. Aimed at home care agency owners, finding what the inspector would find, first.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes compliance audit. Aimed at home care agency owners, unbundling the one module people actually use.
Point a voice agent at field reporting, and let people review output instead of producing it. Aimed at home care agency owners, so the work stops following people home.
Point a workflow engine at renewal management, and let people review output instead of producing it. Aimed at home care agency owners, finding what the inspector would find, first.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at home care schedulers, holding service constant on a smaller team.
A narrow anomaly detector scoped to permit & licence tracking alone — no platform, no migration, no six-month rollout. Aimed at home care schedulers, so the work stops following people home.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes proposal writing. Aimed at home care schedulers, going after the low-value tail everyone else skips.
Point a vision model at compliance audit, and let people review output instead of producing it. Aimed at home care schedulers, charging only when it actually works.
A narrow optimisation engine scoped to scheduling alone — no platform, no migration, no six-month rollout. Aimed at home care schedulers, going after the low-value tail everyone else skips.
Point an autonomous agent at scheduling, and let people review output instead of producing it. Aimed at home care schedulers, at a tenth of what the enterprise suite charges.
A retrieval engine that handles grant & funding tracking end to end and hands a human the exceptions rather than the queue. Aimed at home care schedulers, catching the error before it becomes a change order.
Field reporting handled by a vision model, with a human signing rather than writing. Aimed at home care schedulers, built for one person, not a department.