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 a vision model at field reporting, and let people review output instead of producing it. Aimed at legal ops teams, replacing the spreadsheet that currently holds it together.
A narrow document parser scoped to onboarding alone — no platform, no migration, no six-month rollout. Aimed at accounting firm owners, closing the loop while everyone is asleep.
A voice agent that handles intake & triage end to end and hands a human the exceptions rather than the queue. Aimed at accounting firm owners, writing down what only one person knows.
A document parser that handles RFP response end to end and hands a human the exceptions rather than the queue. Aimed at accounting firm owners, replacing the spreadsheet that currently holds it together.
Collections handled by an autonomous agent, with a human signing rather than writing. Aimed at accounting firm owners, going after the low-value tail everyone else skips.
A document parser that handles reporting & analytics end to end and hands a human the exceptions rather than the queue. Aimed at accounting partners, surfacing the exposure nobody has priced.
Document review handled by a retrieval engine, with a human signing rather than writing. Aimed at accounting partners, holding service constant on a smaller team.
A reconciliation engine that handles payroll verification end to end and hands a human the exceptions rather than the queue. Aimed at accounting partners, built for one person, not a department.
Payroll verification handled by an anomaly detector, with a human signing rather than writing. Aimed at accounting partners, finding what the inspector would find, first.
Point a long-context reviewer at document review, and let people review output instead of producing it. Aimed at accounting ops teams, finding what the inspector would find, first.
Reconciliation handled by a document parser, with a human signing rather than writing. Aimed at accounting ops teams, finding what the inspector would find, first.
A retrieval engine that handles claims & appeals end to end and hands a human the exceptions rather than the queue. Aimed at insurance agency owners, starting from data the business already produces.
A forecasting model that handles reporting & analytics end to end and hands a human the exceptions rather than the queue. Aimed at insurance agency owners, built for one person, not a department.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes customer support. Aimed at insurance agency owners, finding what the inspector would find, first.
A narrow voice agent scoped to shift handover alone — no platform, no migration, no six-month rollout. Aimed at insurance agency owners, starting from data the business already produces.
Point a workflow engine at claims & appeals, and let people review output instead of producing it. Aimed at insurance underwriters, replacing the spreadsheet that currently holds it together.
Point a long-context reviewer at document review, and let people review output instead of producing it. Aimed at insurance underwriters, charging only when it actually works.
A retrieval engine that handles risk assessment end to end and hands a human the exceptions rather than the queue. Aimed at insurance underwriters, proving value before anyone signs anything.
A narrow autonomous agent scoped to scheduling alone — no platform, no migration, no six-month rollout. Aimed at insurance underwriters, closing the loop while everyone is asleep.
A document parser that handles payroll verification end to end and hands a human the exceptions rather than the queue. Aimed at insurance underwriters, proving value before anyone signs anything.
A retrieval engine that handles RFP response end to end and hands a human the exceptions rather than the queue. Aimed at insurance underwriters, closing the loop while everyone is asleep.
Point a workflow engine at renewal management, and let people review output instead of producing it. Aimed at insurance claims teams, going after the low-value tail everyone else skips.
A retrieval engine that handles RFP response end to end and hands a human the exceptions rather than the queue. Aimed at insurance claims teams, proving value before anyone signs anything.
A narrow retrieval engine scoped to claims & appeals alone — no platform, no migration, no six-month rollout. Aimed at insurance brokers, unbundling the one module people actually use.