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 an autonomous agent at onboarding, and let people review output instead of producing it. Aimed at recruiting agency owners, surfacing the exposure nobody has priced.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes document review. Aimed at recruiting agency owners, replacing the spreadsheet that currently holds it together.
A narrow forecasting model scoped to risk assessment alone — no platform, no migration, no six-month rollout. Aimed at recruiting agency owners, unbundling the one module people actually use.
Point an anomaly detector at vendor management, and let people review output instead of producing it. Aimed at recruiting recruiters, so the work stops following people home.
A narrow autonomous agent scoped to collections alone — no platform, no migration, no six-month rollout. Aimed at recruiting recruiters, at a tenth of what the enterprise suite charges.
Point a retrieval engine at training & competency, and let people review output instead of producing it. Aimed at recruiting recruiters, closing the loop while everyone is asleep.
Scheduling handled by an autonomous agent, with a human signing rather than writing. Aimed at recruiting ops teams, closing the loop while everyone is asleep.
A vision model that handles inspection end to end and hands a human the exceptions rather than the queue. Aimed at recruiting ops teams, built for one person, not a department.
A narrow geospatial model scoped to site selection alone — no platform, no migration, no six-month rollout. Aimed at staffing agency owners, closing the loop while everyone is asleep.
A narrow anomaly detector scoped to renewal management alone — no platform, no migration, no six-month rollout. Aimed at staffing schedulers, surfacing the exposure nobody has priced.
A voice agent that handles field reporting end to end and hands a human the exceptions rather than the queue. Aimed at staffing schedulers, going after the low-value tail everyone else skips.
Collections handled by a forecasting model, with a human signing rather than writing. Aimed at recruiting recruiters, finding what the inspector would find, first.
A narrow long-context reviewer scoped to proposal writing alone — no platform, no migration, no six-month rollout. Aimed at recruiting recruiters, holding service constant on a smaller team.
A voice agent that sits beside the existing system, reads what it already produces, and closes knowledge capture. Aimed at recruiting recruiters, so the work stops following people home.
A document parser that sits beside the existing system, reads what it already produces, and closes invoicing. Aimed at recruiting ops teams, going after the low-value tail everyone else skips.
A narrow autonomous agent scoped to collections alone — no platform, no migration, no six-month rollout. Aimed at recruiting ops teams, finding what the inspector would find, first.
Point a long-context reviewer at proposal writing, and let people review output instead of producing it. Aimed at recruiting ops teams, holding service constant on a smaller team.
Point a document parser at reporting & analytics, and let people review output instead of producing it. Aimed at staffing agency owners, going after the low-value tail everyone else skips.
A narrow vision model scoped to field reporting alone — no platform, no migration, no six-month rollout. Aimed at staffing agency owners, replacing the spreadsheet that currently holds it together.
A document parser that handles intake & triage end to end and hands a human the exceptions rather than the queue. Aimed at staffing agency owners, catching the error before it becomes a change order.
An autonomous agent that sits beside the existing system, reads what it already produces, and closes scheduling. Aimed at staffing schedulers, surfacing the exposure nobody has priced.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes customer support. Aimed at staffing schedulers, built for one person, not a department.
A narrow classifier scoped to customer support alone — no platform, no migration, no six-month rollout. Aimed at staffing schedulers, finding what the inspector would find, first.
Contract analysis handled by a retrieval engine, with a human signing rather than writing. Aimed at staffing schedulers, surfacing the exposure nobody has priced.