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 compliance audit, and let people review output instead of producing it. Aimed at equipment rental ops teams, built for one person, not a department.
A retrieval engine that handles knowledge capture end to end and hands a human the exceptions rather than the queue. Aimed at education department heads, closing the loop while everyone is asleep.
Risk assessment handled by a retrieval engine, with a human signing rather than writing. Aimed at government program directors, replacing the spreadsheet that currently holds it together.
A narrow retrieval engine scoped to customer support alone — no platform, no migration, no six-month rollout. Aimed at public safety ops teams, surfacing the exposure nobody has priced.
Invoicing handled by a document parser, with a human signing rather than writing. Aimed at equipment rental dispatchers, proving value before anyone signs anything.
A narrow long-context reviewer scoped to proposal writing alone — no platform, no migration, no six-month rollout. Aimed at equipment rental dispatchers, built for one person, not a department.
A document parser that handles reporting & analytics 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.
Point a retrieval engine at RFP response, and let people review output instead of producing it. Aimed at trade schools program directors, holding service constant on a smaller team.
Point a forecasting model at training & competency, and let people review output instead of producing it. Aimed at childcare owner-operators, replacing the spreadsheet that currently holds it together.
Point an anomaly detector at margin monitoring, and let people review output instead of producing it. Aimed at childcare owner-operators, going after the low-value tail everyone else skips.
Point a long-context reviewer at contract analysis, and let people review output instead of producing it. Aimed at childcare program directors, surfacing the exposure nobody has priced.
Pricing handled by a document parser, with a human signing rather than writing. Aimed at government program directors, closing the loop while everyone is asleep.
Point an anomaly detector at asset tracking, and let people review output instead of producing it. Aimed at government program directors, finding what the inspector would find, first.
A document parser that handles compliance audit end to end and hands a human the exceptions rather than the queue. Aimed at government compliance leads, holding service constant on a smaller team.
Grant & funding tracking handled by a document parser, with a human signing rather than writing. Aimed at government compliance leads, taking the phone queue off a human entirely.
A retrieval engine that handles grant & funding tracking end to end and hands a human the exceptions rather than the queue. Aimed at government compliance leads, so the work stops following people home.
A narrow document parser scoped to pricing alone — no platform, no migration, no six-month rollout. Aimed at government compliance leads, catching the error before it becomes a change order.
Point a long-context reviewer at RFP response, and let people review output instead of producing it. Aimed at government ops teams, taking the phone queue off a human entirely.
RFP response handled by a document parser, with a human signing rather than writing. Aimed at government ops teams, taking the phone queue off a human entirely.
A document parser that handles incident reporting end to end and hands a human the exceptions rather than the queue. Aimed at public safety department heads, holding service constant on a smaller team.
A narrow anomaly detector scoped to payroll verification alone — no platform, no migration, no six-month rollout. Aimed at public safety department heads, surfacing the exposure nobody has priced.
Point a long-context reviewer at document review, and let people review output instead of producing it. Aimed at public safety ops teams, closing the loop while everyone is asleep.
A retrieval engine that handles grant & funding tracking end to end and hands a human the exceptions rather than the queue. Aimed at public safety ops teams, finding what the inspector would find, first.
Point an anomaly detector at maintenance planning, and let people review output instead of producing it. Aimed at public safety ops teams, replacing the spreadsheet that currently holds it together.