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 forecasting model scoped to route planning alone — no platform, no migration, no six-month rollout. Aimed at legal paralegal teams, finding what the inspector would find, first.
A narrow document parser scoped to reporting & analytics alone — no platform, no migration, no six-month rollout. Aimed at legal ops teams, catching the error before it becomes a change order.
Point a document parser at pricing, and let people review output instead of producing it. Aimed at legal ops teams, finding what the inspector would find, first.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes contract analysis. Aimed at accounting firm owners, writing down what only one person knows.
RFP response handled by a long-context reviewer, with a human signing rather than writing. Aimed at accounting firm owners, 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 contract analysis. Aimed at accounting partners, so the work stops following people home.
Customer support handled by a retrieval engine, with a human signing rather than writing. Aimed at accounting ops teams, proving value before anyone signs anything.
Point a retrieval engine at document review, and let people review output instead of producing it. Aimed at insurance agency owners, taking the phone queue off a human entirely.
A document parser that sits beside the existing system, reads what it already produces, and closes payroll verification. Aimed at insurance agency owners, replacing the spreadsheet that currently holds it together.
A voice agent that sits beside the existing system, reads what it already produces, and closes shift handover. Aimed at insurance agency owners, built for one person, not a department.
A document parser that sits beside the existing system, reads what it already produces, and closes document review. Aimed at insurance underwriters, charging only when it actually works.
A document parser that sits beside the existing system, reads what it already produces, and closes quoting & estimating. Aimed at insurance underwriters, so the work stops following people home.
Point a workflow engine at training & competency, and let people review output instead of producing it. Aimed at insurance underwriters, built for one person, not a department.
Reporting & analytics handled by a document parser, with a human signing rather than writing. Aimed at insurance underwriters, replacing the spreadsheet that currently holds it together.
A narrow voice agent scoped to shift handover alone — no platform, no migration, no six-month rollout. Aimed at insurance underwriters, built for one person, not a department.
A document parser that sits beside the existing system, reads what it already produces, and closes claims & appeals. Aimed at insurance claims teams, catching the error before it becomes a change order.
A document parser that handles document review end to end and hands a human the exceptions rather than the queue. Aimed at insurance claims teams, writing down what only one person knows.
A retrieval engine that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at insurance claims teams, built for one person, not a department.
A narrow document parser scoped to incident reporting alone — no platform, no migration, no six-month rollout. Aimed at insurance claims teams, taking the phone queue off a human entirely.
A narrow voice agent scoped to intake & triage alone — no platform, no migration, no six-month rollout. Aimed at insurance brokers, replacing the spreadsheet that currently holds it together.
Point a retrieval engine at risk assessment, and let people review output instead of producing it. Aimed at fintech cfos, at a tenth of what the enterprise suite charges.
Quoting & estimating handled by a document parser, with a human signing rather than writing. Aimed at fintech cfos, at a tenth of what the enterprise suite charges.
A forecasting model that handles reporting & analytics end to end and hands a human the exceptions rather than the queue. Aimed at fintech ops teams, so the work stops following people home.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at fintech ops teams, proving value before anyone signs anything.