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.
A narrow anomaly detector scoped to maintenance planning alone — no platform, no migration, no six-month rollout. Aimed at mental health program directors, closing the loop while everyone is asleep.
Point a long-context reviewer at proposal writing, and let people review output instead of producing it. Aimed at home care agency owners, surfacing the exposure nobody has priced.
A retrieval engine that handles contract analysis end to end and hands a human the exceptions rather than the queue. Aimed at home care agency owners, holding service constant on a smaller team.
Training & competency handled by a retrieval engine, with a human signing rather than writing. Aimed at legal solo practitioners, replacing the spreadsheet that currently holds it together.
A forecasting model that handles training & competency end to end and hands a human the exceptions rather than the queue. Aimed at legal paralegal teams, going after the low-value tail everyone else skips.
A retrieval engine that handles training & competency end to end and hands a human the exceptions rather than the queue. Aimed at legal paralegal teams, built for one person, not a department.
Grant & funding tracking handled by a retrieval engine, with a human signing rather than writing. Aimed at legal ops teams, taking the phone queue off a human entirely.
A document parser that sits beside the existing system, reads what it already produces, and closes warranty & returns. Aimed at legal ops teams, surfacing the exposure nobody has priced.
A reconciliation engine that sits beside the existing system, reads what it already produces, and closes invoicing. Aimed at accounting partners, built for one person, not a department.
A long-context reviewer that handles RFP response end to end and hands a human the exceptions rather than the queue. Aimed at accounting ops teams, starting from data the business already produces.
Intake & triage handled by a voice agent, with a human signing rather than writing. Aimed at accounting ops teams, replacing the spreadsheet that currently holds it together.
Training & competency handled by a retrieval engine, with a human signing rather than writing. Aimed at insurance agency owners, finding what the inspector would find, first.
A narrow workflow engine scoped to grant & funding tracking alone — no platform, no migration, no six-month rollout. Aimed at insurance underwriters, so the work stops following people home.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at insurance claims teams, 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 risk assessment. Aimed at insurance claims teams, replacing the spreadsheet that currently holds it together.
Point a reconciliation engine at payroll verification, and let people review output instead of producing it. Aimed at insurance brokers, 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 risk assessment. Aimed at fintech ops teams, built for one person, not a department.
A narrow retrieval engine scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at fintech ops teams, unbundling the one module people actually use.
A narrow document parser scoped to expense review alone — no platform, no migration, no six-month rollout. Aimed at fintech compliance leads, built for one person, not a department.
A document parser that sits beside the existing system, reads what it already produces, and closes invoicing. Aimed at lending underwriters, built for one person, not a department.
Risk assessment handled by a retrieval engine, with a human signing rather than writing. Aimed at lending ops teams, surfacing the exposure nobody has priced.
Point an autonomous agent at collections, and let people review output instead of producing it. Aimed at construction project managers, catching the error before it becomes a change order.
Collections handled by a forecasting model, with a human signing rather than writing. Aimed at construction project managers, holding service constant on a smaller team.
A forecasting model that sits beside the existing system, reads what it already produces, and closes renewal management. Aimed at construction project managers, so the work stops following people home.