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 retrieval engine that handles customer support end to end and hands a human the exceptions rather than the queue. Aimed at public safety compliance leads, writing down what only one person knows.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes proposal writing. Aimed at public safety compliance leads, replacing the spreadsheet that currently holds it together.
An autonomous agent that sits beside the existing system, reads what it already produces, and closes collections. Aimed at public safety compliance leads, going after the low-value tail everyone else skips.
A forecasting model that handles maintenance planning end to end and hands a human the exceptions rather than the queue. Aimed at public safety compliance leads, catching the error before it becomes a change order.
A narrow retrieval engine scoped to knowledge capture alone — no platform, no migration, no six-month rollout. Aimed at public safety compliance leads, surfacing the exposure nobody has priced.
Point a document parser at quoting & estimating, and let people review output instead of producing it. Aimed at public safety compliance leads, proving value before anyone signs anything.
A document parser that handles payroll verification end to end and hands a human the exceptions rather than the queue. Aimed at public safety compliance leads, catching the error before it becomes a change order.
A retrieval engine that handles document review end to end and hands a human the exceptions rather than the queue. Aimed at recruiting agency owners, writing down what only one person knows.
A narrow long-context reviewer scoped to document review alone — no platform, no migration, no six-month rollout. Aimed at recruiting agency owners, at a tenth of what the enterprise suite charges.
A document parser that handles expense review end to end and hands a human the exceptions rather than the queue. Aimed at recruiting agency owners, catching the error before it becomes a change order.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes training & competency. Aimed at recruiting agency owners, taking the phone queue off a human entirely.
Point a long-context reviewer at document review, and let people review output instead of producing it. Aimed at recruiting recruiters, replacing the spreadsheet that currently holds it together.
A voice agent that sits beside the existing system, reads what it already produces, and closes inspection. Aimed at recruiting ops teams, holding service constant on a smaller team.
A retrieval engine that handles risk assessment end to end and hands a human the exceptions rather than the queue. Aimed at recruiting ops teams, taking the phone queue off a human entirely.
Point an autonomous agent at collections, and let people review output instead of producing it. Aimed at staffing agency owners, unbundling the one module people actually use.
Vendor management handled by an anomaly detector, with a human signing rather than writing. Aimed at staffing agency owners, 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 staffing agency owners, taking the phone queue off a human entirely.
Point a forecasting model at lead qualification, and let people review output instead of producing it. Aimed at staffing agency owners, surfacing the exposure nobody has priced.
Reporting & analytics handled by a document parser, with a human signing rather than writing. Aimed at staffing agency owners, finding what the inspector would find, first.
A narrow autonomous agent scoped to customer support alone — no platform, no migration, no six-month rollout. Aimed at staffing agency owners, going after the low-value tail everyone else skips.
A retrieval engine that handles claims & appeals end to end and hands a human the exceptions rather than the queue. Aimed at staffing agency owners, holding service constant on a smaller team.
Site selection handled by a forecasting model, with a human signing rather than writing. Aimed at staffing agency owners, finding what the inspector would find, first.
A narrow geospatial model scoped to site selection alone — no platform, no migration, no six-month rollout. Aimed at staffing agency owners, starting from data the business already produces.
An autonomous agent that sits beside the existing system, reads what it already produces, and closes onboarding. Aimed at staffing schedulers, so the work stops following people home.