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.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes demand forecasting. Aimed at accounting firm owners, starting from data the business already produces.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes document review. Aimed at accounting partners, replacing the spreadsheet that currently holds it together.
A vision model that handles quality control end to end and hands a human the exceptions rather than the queue. Aimed at accounting partners, catching the error before it becomes a change order.
A narrow retrieval engine scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at accounting partners, taking the phone queue off a human entirely.
A narrow retrieval engine scoped to customer support alone — no platform, no migration, no six-month rollout. Aimed at accounting partners, replacing the spreadsheet that currently holds it together.
Point a retrieval engine at training & competency, and let people review output instead of producing it. Aimed at accounting partners, catching the error before it becomes a change order.
A voice agent that handles incident reporting end to end and hands a human the exceptions rather than the queue. Aimed at accounting partners, finding what the inspector would find, first.
A document parser that sits beside the existing system, reads what it already produces, and closes reconciliation. Aimed at accounting partners, finding what the inspector would find, first.
An autonomous agent that handles collections end to end and hands a human the exceptions rather than the queue. Aimed at accounting ops teams, taking the phone queue off a human entirely.
An autonomous agent that handles collections end to end and hands a human the exceptions rather than the queue. Aimed at accounting ops teams, replacing the spreadsheet that currently holds it together.
A retrieval engine that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at insurance agency owners, going after the low-value tail everyone else skips.
A workflow engine that sits beside the existing system, reads what it already produces, and closes proposal writing. Aimed at insurance agency owners, built for one person, not a department.
Point a retrieval engine at training & competency, and let people review output instead of producing it. Aimed at insurance agency owners, closing the loop while everyone is asleep.
A narrow reconciliation engine scoped to reporting & analytics alone — no platform, no migration, no six-month rollout. Aimed at insurance agency owners, charging only when it actually works.
A workflow engine that sits beside the existing system, reads what it already produces, and closes dispatch. Aimed at insurance agency owners, writing down what only one person knows.
Point a document parser at payroll verification, and let people review output instead of producing it. Aimed at insurance agency owners, starting from data the business already produces.
A narrow long-context reviewer scoped to document review alone — no platform, no migration, no six-month rollout. Aimed at insurance underwriters, starting from data the business already produces.
Document review handled by a long-context reviewer, with a human signing rather than writing. Aimed at insurance underwriters, going after the low-value tail everyone else skips.
A narrow document parser scoped to grant & funding tracking alone — no platform, no migration, no six-month rollout. Aimed at insurance underwriters, replacing the spreadsheet that currently holds it together.
A forecasting model that sits beside the existing system, reads what it already produces, and closes demand forecasting. Aimed at insurance underwriters, unbundling the one module people actually use.
RFP response handled by a retrieval engine, with a human signing rather than writing. Aimed at insurance underwriters, starting from data the business already produces.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at insurance underwriters, surfacing the exposure nobody has priced.
A narrow document parser scoped to shift handover alone — no platform, no migration, no six-month rollout. Aimed at insurance underwriters, unbundling the one module people actually use.
A narrow document parser scoped to document review alone — no platform, no migration, no six-month rollout. Aimed at insurance claims teams, writing down what only one person knows.