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 renewal management. Aimed at restaurants kitchen teams, taking the phone queue off a human entirely.
A document parser that sits beside the existing system, reads what it already produces, and closes inspection. Aimed at restaurants kitchen teams, proving value before anyone signs anything.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes training & competency. Aimed at restaurants kitchen teams, 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 restaurants kitchen teams, replacing the spreadsheet that currently holds it together.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at retail store managers, replacing the spreadsheet that currently holds it together.
A document parser that sits beside the existing system, reads what it already produces, and closes document review. Aimed at retail store managers, charging only when it actually works.
A reconciliation engine that handles reporting & analytics end to end and hands a human the exceptions rather than the queue. Aimed at retail owner-operators, built for one person, not a department.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at retail merchandisers, replacing the spreadsheet that currently holds it together.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at retail merchandisers, taking the phone queue off a human entirely.
A geospatial model that handles site selection end to end and hands a human the exceptions rather than the queue. Aimed at retail merchandisers, surfacing the exposure nobody has priced.
A retrieval engine that handles document review end to end and hands a human the exceptions rather than the queue. Aimed at retail merchandisers, holding service constant on a smaller team.
A narrow forecasting model scoped to margin monitoring alone — no platform, no migration, no six-month rollout. Aimed at retail 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 customer support. Aimed at retail ops teams, writing down what only one person knows.
Point a document parser at incident reporting, and let people review output instead of producing it. Aimed at retail ops teams, built for one person, not a department.
A reconciliation engine that handles reconciliation end to end and hands a human the exceptions rather than the queue. Aimed at retail ops teams, at a tenth of what the enterprise suite charges.
Point an anomaly detector at reconciliation, and let people review output instead of producing it. Aimed at retail ops teams, built for one person, not a department.
Point a retrieval engine at RFP response, and let people review output instead of producing it. Aimed at retail ops teams, finding what the inspector would find, first.
A forecasting model that handles risk assessment end to end and hands a human the exceptions rather than the queue. Aimed at retail ops teams, writing down what only one person knows.
A document parser that sits beside the existing system, reads what it already produces, and closes payroll verification. Aimed at retail ops teams, catching the error before it becomes a change order.
A narrow document parser scoped to shift handover alone — no platform, no migration, no six-month rollout. Aimed at e-commerce owner-operators, taking the phone queue off a human entirely.
A narrow document parser scoped to quoting & estimating alone — no platform, no migration, no six-month rollout. Aimed at e-commerce ops teams, catching the error before it becomes a change order.
A narrow retrieval engine scoped to claims & appeals alone — no platform, no migration, no six-month rollout. Aimed at e-commerce ops teams, replacing the spreadsheet that currently holds it together.
Margin monitoring handled by a reconciliation engine, with a human signing rather than writing. Aimed at e-commerce marketing leads, starting from data the business already produces.
Quoting & estimating handled by a document parser, with a human signing rather than writing. Aimed at e-commerce marketing leads, finding what the inspector would find, first.