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 retrieval engine scoped to risk assessment alone — no platform, no migration, no six-month rollout. Aimed at insurance claims teams, going after the low-value tail everyone else skips.
A document parser that sits beside the existing system, reads what it already produces, and closes warranty & returns. Aimed at insurance claims teams, at a tenth of what the enterprise suite charges.
A reconciliation engine that sits beside the existing system, reads what it already produces, and closes payroll verification. Aimed at insurance claims teams, so the work stops following people home.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes claims & appeals. Aimed at insurance brokers, taking the phone queue off a human entirely.
Document review handled by a retrieval engine, with a human signing rather than writing. Aimed at insurance brokers, closing the loop while everyone is asleep.
Proposal writing handled by a long-context reviewer, with a human signing rather than writing. Aimed at insurance brokers, going after the low-value tail everyone else skips.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes proposal writing. Aimed at insurance brokers, at a tenth of what the enterprise suite charges.
A narrow anomaly detector scoped to renewal management alone — no platform, no migration, no six-month rollout. Aimed at insurance brokers, holding service constant on a smaller team.
A narrow document parser scoped to intake & triage alone — no platform, no migration, no six-month rollout. Aimed at insurance brokers, going after the low-value tail everyone else skips.
A narrow document parser scoped to reporting & analytics alone — no platform, no migration, no six-month rollout. Aimed at insurance brokers, finding what the inspector would find, first.
Point a voice agent at incident reporting, and let people review output instead of producing it. Aimed at insurance brokers, unbundling the one module people actually use.
Dispatch handled by a workflow engine, with a human signing rather than writing. Aimed at insurance brokers, catching the error before it becomes a change order.
A narrow long-context reviewer scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at insurance brokers, taking the phone queue off a human entirely.
A document parser that handles reconciliation end to end and hands a human the exceptions rather than the queue. Aimed at fintech cfos, built for one person, not a department.
A forecasting model that handles lead qualification end to end and hands a human the exceptions rather than the queue. Aimed at fintech cfos, built for one person, not a department.
A forecasting model that sits beside the existing system, reads what it already produces, and closes lead qualification. Aimed at fintech cfos, proving value before anyone signs anything.
Point a reconciliation engine at vendor management, and let people review output instead of producing it. Aimed at fintech ops teams, proving value before anyone signs anything.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes compliance audit. Aimed at fintech ops teams, closing the loop while everyone is asleep.
Point a document parser at reconciliation, and let people review output instead of producing it. Aimed at fintech ops teams, writing down what only one person knows.
Expense review handled by an anomaly detector, with a human signing rather than writing. Aimed at fintech ops teams, replacing the spreadsheet that currently holds it together.
Shift handover handled by a voice agent, with a human signing rather than writing. Aimed at fintech ops teams, taking the phone queue off a human entirely.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes knowledge capture. Aimed at fintech ops teams, starting from data the business already produces.
Point a forecasting model at collections, and let people review output instead of producing it. Aimed at fintech ops teams, finding what the inspector would find, first.
Point a retrieval engine at risk assessment, and let people review output instead of producing it. Aimed at fintech compliance leads, catching the error before it becomes a change order.