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 claims & appeals end to end and hands a human the exceptions rather than the queue. Aimed at staffing schedulers, catching the error before it becomes a change order.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes asset tracking. Aimed at professional services partners, unbundling the one module people actually use.
A narrow anomaly detector scoped to payroll verification alone — no platform, no migration, no six-month rollout. Aimed at staffing schedulers, holding service constant on a smaller team.
Contract analysis handled by a long-context reviewer, with a human signing rather than writing. Aimed at staffing schedulers, built for one person, not a department.
A retrieval engine that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at staffing ops teams, unbundling the one module people actually use.
Point an autonomous agent at lead qualification, and let people review output instead of producing it. Aimed at staffing ops teams, so the work stops following people home.
A narrow retrieval engine scoped to customer support alone — no platform, no migration, no six-month rollout. Aimed at staffing ops teams, going after the low-value tail everyone else skips.
Point a document parser at knowledge capture, and let people review output instead of producing it. Aimed at staffing ops teams, holding service constant on a smaller team.
Maintenance planning handled by a forecasting model, with a human signing rather than writing. Aimed at staffing ops teams, surfacing the exposure nobody has priced.
Point a vision model at quality control, and let people review output instead of producing it. Aimed at staffing ops teams, unbundling the one module people actually use.
Incident reporting handled by a voice agent, with a human signing rather than writing. Aimed at staffing ops teams, going after the low-value tail everyone else skips.
A forecasting model that sits beside the existing system, reads what it already produces, and closes collections. Aimed at professional services partners, charging only when it actually works.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes margin monitoring. Aimed at professional services partners, holding service constant on a smaller team.
Site selection handled by a geospatial model, with a human signing rather than writing. Aimed at professional services partners, so the work stops following people home.
A narrow document parser scoped to invoicing alone — no platform, no migration, no six-month rollout. Aimed at professional services ops teams, proving value before anyone signs anything.
A long-context reviewer that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at professional services ops teams, so the work stops following people home.
A retrieval engine that handles document review end to end and hands a human the exceptions rather than the queue. Aimed at professional services ops teams, finding what the inspector would find, first.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes document review. Aimed at professional services ops teams, writing down what only one person knows.
An autonomous agent that handles collections end to end and hands a human the exceptions rather than the queue. Aimed at professional services ops teams, holding service constant on a smaller team.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes knowledge capture. Aimed at professional services ops teams, going after the low-value tail everyone else skips.
A narrow document parser scoped to invoicing alone — no platform, no migration, no six-month rollout. Aimed at professional services project managers, going after the low-value tail everyone else skips.
Point a reconciliation engine at invoicing, and let people review output instead of producing it. Aimed at professional services project managers, 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 professional services project managers, writing down what only one person knows.
Point a voice agent at field reporting, and let people review output instead of producing it. Aimed at professional services project managers, replacing the spreadsheet that currently holds it together.